From ed20291882f35821ce15b3bb0743986bd5b70f38 Mon Sep 17 00:00:00 2001 From: Baird Langenbrunner Date: Mon, 20 Aug 2018 09:51:34 -0700 Subject: [PATCH] updating to recent draft scripts --- ..._moisture_clouds_1500hour-checkpoint.ipynb | 610 +- ...isture_pblh_diurnal_cycle-checkpoint.ipynb | 4709 ++++++++++++++ .../gp1_arm_site_data-checkpoint.ipynb | 244 + ...or_SENSITIVITY_RUNS-Copy2-checkpoint.ipynb | 5760 +++++++++++++++++ ...ions_for_SENSITIVITY_RUNS-checkpoint.ipynb | 5760 +++++++++++++++++ ...for_different_PBL_schemes-checkpoint.ipynb | 2394 +++++++ ...s_10day_precip_panel_plot-checkpoint.ipynb | 2482 +++++++ ..._cape_skewt_AMAZON_REGION-checkpoint.ipynb | 797 +-- ...ure_4_precip_time_series-checkpoint.ipynb} | 0 ...nd_use_topog_precip_winds-checkpoint.ipynb | 243 +- ...X_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb | 1569 +++++ ...X_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb | 1535 +++++ ...X_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb | 1636 +++++ ...X_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb | 1641 +++++ ...X_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb | 1662 +++++ ...AN_EDIR_NOT_ENSEMBLE_MEAN-checkpoint.ipynb | 1557 +++++ figure_1_land_use_topog_precip_winds.ipynb | 40 +- ...t_longitude_moisture_clouds_1500hour.ipynb | 722 ++- ...SITIVITY_moisture_pblh_diurnal_cycle.ipynb | 4711 ++++++++++++++ gp1_arm_site_data.ipynb | 244 + ...culations_for_SENSITIVITY_RUNS-Copy2.ipynb | 5760 +++++++++++++++++ gp1_calculations_for_SENSITIVITY_RUNS.ipynb | 2094 ++++-- ...lculations_for_different_PBL_schemes.ipynb | 2394 +++++++ ..._PBL_schemes_10day_precip_panel_plot.ipynb | 1048 +++ ...sture_precip_hovmoller_geopot_coords.ipynb | 356 +- ..._MANUSCRIPT_energy_fluxes_cape_skewt.ipynb | 2 +- ...ergy_fluxes_cape_skewt_AMAZON_REGION.ipynb | 555 +- ...NUSCRIPT_figure_4_precip_time_series.ipynb | 1753 +++++ gp1_wrf_MANUSCRIPT_precip_time_series.ipynb | 4625 ------------- ...figure_1_land_use_topog_precip_winds.ipynb | 253 +- ...ssing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb | 1614 +++++ ...ssing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb | 1662 +++++ ...ssing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb | 1636 +++++ ...ssing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb | 1641 +++++ ...ssing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb | 1662 +++++ ...T2_ETRAN_ECAN_EDIR_NOT_ENSEMBLE_MEAN.ipynb | 1667 +++++ ...ssing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb | 2 +- 37 files changed, 60306 insertions(+), 6734 deletions(-) create mode 100644 .ipynb_checkpoints/gp1_NOT_USED_FIRST_DAY_SENSITIVITY_moisture_pblh_diurnal_cycle-checkpoint.ipynb create mode 100644 .ipynb_checkpoints/gp1_arm_site_data-checkpoint.ipynb create mode 100644 .ipynb_checkpoints/gp1_calculations_for_SENSITIVITY_RUNS-Copy2-checkpoint.ipynb create mode 100644 .ipynb_checkpoints/gp1_calculations_for_SENSITIVITY_RUNS-checkpoint.ipynb create mode 100644 .ipynb_checkpoints/gp1_calculations_for_different_PBL_schemes-checkpoint.ipynb create mode 100644 .ipynb_checkpoints/gp1_calculations_for_different_PBL_schemes_10day_precip_panel_plot-checkpoint.ipynb rename .ipynb_checkpoints/{gp1_wrf_MANUSCRIPT_precip_time_series-checkpoint.ipynb => gp1_wrf_MANUSCRIPT_figure_4_precip_time_series-checkpoint.ipynb} (100%) create mode 100644 .ipynb_checkpoints/gp3_ACM2_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb create mode 100644 .ipynb_checkpoints/gp3_MYJ_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb create mode 100644 .ipynb_checkpoints/gp3_MYNN_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb create mode 100644 .ipynb_checkpoints/gp3_TEMF_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb create mode 100644 .ipynb_checkpoints/gp3_UW_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb create mode 100644 .ipynb_checkpoints/gp3_YSU_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR_NOT_ENSEMBLE_MEAN-checkpoint.ipynb create mode 100644 gp1_NOT_USED_FIRST_DAY_SENSITIVITY_moisture_pblh_diurnal_cycle.ipynb create mode 100644 gp1_arm_site_data.ipynb create mode 100644 gp1_calculations_for_SENSITIVITY_RUNS-Copy2.ipynb create mode 100644 gp1_calculations_for_different_PBL_schemes.ipynb create mode 100644 gp1_calculations_for_different_PBL_schemes_10day_precip_panel_plot.ipynb create mode 100644 gp1_wrf_MANUSCRIPT_figure_4_precip_time_series.ipynb delete mode 100644 gp1_wrf_MANUSCRIPT_precip_time_series.ipynb create mode 100644 gp3_ACM2_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb create mode 100644 gp3_MYJ_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb create mode 100644 gp3_MYNN_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb create mode 100644 gp3_TEMF_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb create mode 100644 gp3_UW_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb create mode 100644 gp3_YSU_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR_NOT_ENSEMBLE_MEAN.ipynb diff --git a/.ipynb_checkpoints/gp1_MANUSCRIPT_height_longitude_moisture_clouds_1500hour-checkpoint.ipynb b/.ipynb_checkpoints/gp1_MANUSCRIPT_height_longitude_moisture_clouds_1500hour-checkpoint.ipynb index 82da0a3..0e6d4e4 100644 --- a/.ipynb_checkpoints/gp1_MANUSCRIPT_height_longitude_moisture_clouds_1500hour-checkpoint.ipynb +++ b/.ipynb_checkpoints/gp1_MANUSCRIPT_height_longitude_moisture_clouds_1500hour-checkpoint.ipynb @@ -9,11 +9,11 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:28:36.812388Z", - "start_time": "2018-07-02T19:28:36.796033Z" + "end_time": "2018-08-10T15:08:44.894628Z", + "start_time": "2018-08-10T15:08:40.017596Z" } }, "outputs": [], @@ -49,11 +49,11 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:28:42.255863Z", - "start_time": "2018-07-02T19:28:37.777323Z" + "end_time": "2018-08-10T15:08:55.010288Z", + "start_time": "2018-08-10T15:08:44.903463Z" } }, "outputs": [], @@ -66,11 +66,11 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:28:51.417393Z", - "start_time": "2018-07-02T19:28:42.264306Z" + "end_time": "2018-08-10T15:14:16.659193Z", + "start_time": "2018-08-10T15:08:55.019206Z" } }, "outputs": [], @@ -84,11 +84,11 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:28:51.911054Z", - "start_time": "2018-07-02T19:28:51.896414Z" + "end_time": "2018-08-10T15:14:16.681540Z", + "start_time": "2018-08-10T15:14:16.667707Z" } }, "outputs": [], @@ -106,11 +106,11 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:28:53.813384Z", - "start_time": "2018-07-02T19:28:51.919124Z" + "end_time": "2018-08-10T15:14:59.374643Z", + "start_time": "2018-08-10T15:14:16.689603Z" } }, "outputs": [], @@ -131,11 +131,11 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:28:58.714895Z", - "start_time": "2018-07-02T19:28:54.292984Z" + "end_time": "2018-08-10T15:15:09.440127Z", + "start_time": "2018-08-10T15:14:59.383251Z" } }, "outputs": [], @@ -148,11 +148,11 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:30:34.242163Z", - "start_time": "2018-07-02T19:30:03.918836Z" + "end_time": "2018-08-10T15:19:12.525646Z", + "start_time": "2018-08-10T15:15:09.448864Z" } }, "outputs": [], @@ -165,11 +165,11 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:30:35.087622Z", - "start_time": "2018-07-02T19:30:35.074297Z" + "end_time": "2018-08-10T15:19:12.547991Z", + "start_time": "2018-08-10T15:19:12.534265Z" } }, "outputs": [], @@ -194,11 +194,11 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:30:35.939908Z", - "start_time": "2018-07-02T19:30:35.923990Z" + "end_time": "2018-08-10T15:19:12.675971Z", + "start_time": "2018-08-10T15:19:12.556538Z" } }, "outputs": [], @@ -209,11 +209,11 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:30:36.072634Z", - "start_time": "2018-07-02T19:30:35.947978Z" + "end_time": "2018-08-10T15:19:12.776296Z", + "start_time": "2018-08-10T15:19:12.684626Z" } }, "outputs": [], @@ -230,11 +230,11 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:30:37.737000Z", - "start_time": "2018-07-02T19:30:37.730848Z" + "end_time": "2018-08-10T15:19:12.884382Z", + "start_time": "2018-08-10T15:19:12.784916Z" } }, "outputs": [], @@ -253,11 +253,11 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:30:39.521320Z", - "start_time": "2018-07-02T19:30:38.574693Z" + "end_time": "2018-08-10T15:19:49.477070Z", + "start_time": "2018-08-10T15:19:12.892861Z" } }, "outputs": [], @@ -267,11 +267,11 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:30:39.646042Z", - "start_time": "2018-07-02T19:30:39.530354Z" + "end_time": "2018-08-10T15:19:49.601148Z", + "start_time": "2018-08-10T15:19:49.485663Z" } }, "outputs": [], @@ -289,11 +289,11 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:31:09.614075Z", - "start_time": "2018-07-02T19:30:41.349627Z" + "end_time": "2018-08-10T15:25:15.118639Z", + "start_time": "2018-08-10T15:19:49.609862Z" } }, "outputs": [], @@ -303,26 +303,28 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 48, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:31:15.479955Z", - "start_time": "2018-07-02T19:31:09.616584Z" + "end_time": "2018-08-10T17:01:06.611258Z", + "start_time": "2018-08-10T17:00:54.270525Z" } }, "outputs": [], "source": [ "qvapor_diffs_latlon_nan = numpy.copy(qvapor_diffs)\n", - "qvapor_diffs_latlon_nan[:,:,~latlon_indices]=numpy.nan" + "qvapor_diffs_latlon_nan[:,:,~latlon_indices]=numpy.nan\n", + "qvapor_400_latlon_nan = numpy.copy(qvapor_400.values)\n", + "qvapor_400_latlon_nan[:,:,~latlon_indices]=numpy.nan" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 49, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:31:22.994257Z", - "start_time": "2018-07-02T19:31:17.312266Z" + "end_time": "2018-08-10T17:01:24.623011Z", + "start_time": "2018-08-10T17:01:14.043138Z" } }, "outputs": [ @@ -330,13 +332,16 @@ "name": "stderr", "output_type": "stream", "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", - " \"\"\"Entry point for launching an IPython kernel.\n" + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + " \n" ] } ], "source": [ - "qvapor_diffs_latmean = numpy.nanmean(qvapor_diffs_latlon_nan, axis=2)" + "qvapor_diffs_latmean = numpy.nanmean(qvapor_diffs_latlon_nan, axis=2)\n", + "qvapor_400_latmean = numpy.nanmean(qvapor_400_latlon_nan, axis=2)" ] }, { @@ -348,11 +353,11 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:34:36.888726Z", - "start_time": "2018-07-02T19:31:24.869362Z" + "end_time": "2018-08-10T15:31:57.892151Z", + "start_time": "2018-08-10T15:25:23.301480Z" } }, "outputs": [], @@ -362,11 +367,11 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:34:39.938713Z", - "start_time": "2018-07-02T19:34:36.897017Z" + "end_time": "2018-08-10T15:32:00.957455Z", + "start_time": "2018-08-10T15:31:57.900653Z" } }, "outputs": [], @@ -377,11 +382,26 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 54, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:34:45.454618Z", - "start_time": "2018-07-02T19:34:39.947140Z" + "end_time": "2018-08-10T17:02:58.387331Z", + "start_time": "2018-08-10T17:02:48.727585Z" + } + }, + "outputs": [], + "source": [ + "cldfra_400_latlon_nan = numpy.copy(cldfra_400.values)\n", + "cldfra_400_latlon_nan[:,:,~latlon_indices]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T15:32:06.482306Z", + "start_time": "2018-08-10T15:32:00.965982Z" } }, "outputs": [ @@ -389,7 +409,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", " \"\"\"Entry point for launching an IPython kernel.\n" ] } @@ -398,6 +418,29 @@ "cldfra_diffs_latmean = numpy.nanmean(cldfra_diffs_latlon_nan, axis=2)" ] }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:03:03.916291Z", + "start_time": "2018-08-10T17:02:58.395892Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n" + ] + } + ], + "source": [ + "cldfra_400_latmean = numpy.nanmean(cldfra_400_latlon_nan, axis=2)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -407,11 +450,11 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 20, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:34:51.006249Z", - "start_time": "2018-07-02T19:34:48.527002Z" + "end_time": "2018-08-10T15:32:09.080918Z", + "start_time": "2018-08-10T15:32:06.490636Z" } }, "outputs": [], @@ -422,11 +465,11 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 21, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:34:57.122726Z", - "start_time": "2018-07-02T19:34:51.015253Z" + "end_time": "2018-08-10T15:32:15.644633Z", + "start_time": "2018-08-10T15:32:09.089605Z" } }, "outputs": [], @@ -440,11 +483,11 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 22, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:09.456528Z", - "start_time": "2018-07-02T19:34:58.492030Z" + "end_time": "2018-08-10T15:32:26.547417Z", + "start_time": "2018-08-10T15:32:15.653177Z" } }, "outputs": [ @@ -452,9 +495,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", " \"\"\"Entry point for launching an IPython kernel.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", " \n" ] } @@ -476,11 +519,11 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 23, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:13.082029Z", - "start_time": "2018-07-02T19:35:11.883368Z" + "end_time": "2018-08-10T15:32:27.768871Z", + "start_time": "2018-08-10T15:32:26.555711Z" } }, "outputs": [], @@ -490,11 +533,11 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 24, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:16.126693Z", - "start_time": "2018-07-02T19:35:13.090443Z" + "end_time": "2018-08-10T15:32:30.839511Z", + "start_time": "2018-08-10T15:32:27.777566Z" } }, "outputs": [], @@ -505,11 +548,26 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 51, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:01:54.830400Z", + "start_time": "2018-08-10T17:01:51.969711Z" + } + }, + "outputs": [], + "source": [ + "tk_400_latlon_nan = numpy.copy(tk_400)\n", + "tk_400_latlon_nan[:,:,~latlon_indices]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:22.925855Z", - "start_time": "2018-07-02T19:35:17.418602Z" + "end_time": "2018-08-10T15:32:36.225384Z", + "start_time": "2018-08-10T15:32:30.848152Z" } }, "outputs": [ @@ -517,7 +575,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", " \"\"\"Entry point for launching an IPython kernel.\n" ] } @@ -526,6 +584,29 @@ "tk_diffs_latmean = numpy.nanmean(tk_diffs_latlon_nan, axis=2)" ] }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:02:06.701652Z", + "start_time": "2018-08-10T17:02:01.360600Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n" + ] + } + ], + "source": [ + "tk_400_latmean = numpy.nanmean(tk_400_latlon_nan, axis=2)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -535,11 +616,11 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 26, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:28.464767Z", - "start_time": "2018-07-02T19:35:25.521316Z" + "end_time": "2018-08-10T15:32:39.136763Z", + "start_time": "2018-08-10T15:32:36.233497Z" } }, "outputs": [], @@ -550,11 +631,11 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 27, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:33.975364Z", - "start_time": "2018-07-02T19:35:28.473755Z" + "end_time": "2018-08-10T15:32:44.550643Z", + "start_time": "2018-08-10T15:32:39.145237Z" } }, "outputs": [ @@ -562,7 +643,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", " \"\"\"Entry point for launching an IPython kernel.\n" ] } @@ -580,11 +661,11 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 28, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:39.640698Z", - "start_time": "2018-07-02T19:35:36.695153Z" + "end_time": "2018-08-10T15:32:47.503772Z", + "start_time": "2018-08-10T15:32:44.558875Z" } }, "outputs": [], @@ -595,11 +676,11 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 29, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:45.145911Z", - "start_time": "2018-07-02T19:35:39.649089Z" + "end_time": "2018-08-10T15:32:52.904770Z", + "start_time": "2018-08-10T15:32:47.512309Z" } }, "outputs": [ @@ -607,7 +688,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", " \"\"\"Entry point for launching an IPython kernel.\n" ] } @@ -625,11 +706,11 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 30, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:48.099778Z", - "start_time": "2018-07-02T19:35:47.984100Z" + "end_time": "2018-08-10T15:32:53.029021Z", + "start_time": "2018-08-10T15:32:52.913016Z" } }, "outputs": [], @@ -640,11 +721,11 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 31, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:48.810261Z", - "start_time": "2018-07-02T19:35:48.108404Z" + "end_time": "2018-08-10T15:32:53.493434Z", + "start_time": "2018-08-10T15:32:53.037485Z" } }, "outputs": [], @@ -655,11 +736,11 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 32, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:50.945092Z", - "start_time": "2018-07-02T19:35:50.249680Z" + "end_time": "2018-08-10T15:32:54.265162Z", + "start_time": "2018-08-10T15:32:53.502145Z" } }, "outputs": [], @@ -677,11 +758,11 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 33, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:53.829960Z", - "start_time": "2018-07-02T19:35:53.824052Z" + "end_time": "2018-08-10T15:32:54.279633Z", + "start_time": "2018-08-10T15:32:54.273661Z" } }, "outputs": [], @@ -693,11 +774,11 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 34, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:54.162263Z", - "start_time": "2018-07-02T19:35:53.837764Z" + "end_time": "2018-08-10T15:32:54.553962Z", + "start_time": "2018-08-10T15:32:54.287933Z" } }, "outputs": [], @@ -708,11 +789,11 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 35, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:54.737544Z", - "start_time": "2018-07-02T19:35:54.171252Z" + "end_time": "2018-08-10T15:32:55.119200Z", + "start_time": "2018-08-10T15:32:54.562612Z" } }, "outputs": [ @@ -720,11 +801,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", " \"\"\"Entry point for launching an IPython kernel.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", " \n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", " This is separate from the ipykernel package so we can avoid doing imports until\n" ] } @@ -744,11 +825,11 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 36, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:39:25.680949Z", - "start_time": "2018-07-02T19:39:25.661794Z" + "end_time": "2018-08-10T15:32:55.144071Z", + "start_time": "2018-08-10T15:32:55.127332Z" } }, "outputs": [], @@ -765,17 +846,17 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 40, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:40:24.544215Z", - "start_time": "2018-07-02T19:40:24.523017Z" + "end_time": "2018-08-10T16:58:12.862820Z", + "start_time": "2018-08-10T16:58:12.841362Z" } }, "outputs": [], "source": [ - "colors1 = cmocean.cm.turbid_r(np.linspace(0., 1, 128))\n", - "colors2 = cmocean.cm.deep(np.linspace(0, 1, 128))\n", + "colors1 = cmocean.cm.turbid_r(numpy.linspace(0., 1, 128))\n", + "colors2 = cmocean.cm.deep(numpy.linspace(0, 1, 128))\n", "\n", "# combine them and build a new colormap\n", "colors = numpy.vstack((colors1, colors2))\n", @@ -791,11 +872,11 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 41, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:39:27.229909Z", - "start_time": "2018-07-02T19:39:27.222134Z" + "end_time": "2018-08-10T16:58:14.296377Z", + "start_time": "2018-08-10T16:58:14.288267Z" } }, "outputs": [], @@ -806,11 +887,11 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 56, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:39:31.794375Z", - "start_time": "2018-07-02T19:39:31.755978Z" + "end_time": "2018-08-10T17:03:13.660799Z", + "start_time": "2018-08-10T17:03:13.611246Z" } }, "outputs": [ @@ -818,24 +899,30 @@ "name": "stderr", "output_type": "stream", "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", " \"\"\"Entry point for launching an IPython kernel.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", " \n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", " This is separate from the ipykernel package so we can avoid doing imports until\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", " after removing the cwd from sys.path.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:5: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:5: RuntimeWarning: Mean of empty slice\n", " \"\"\"\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:8: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:7: RuntimeWarning: Mean of empty slice\n", + " import sys\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:8: RuntimeWarning: Mean of empty slice\n", " \n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: Mean of empty slice\n", " if __name__ == '__main__':\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:11: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:11: RuntimeWarning: Mean of empty slice\n", " # This is added back by InteractiveShellApp.init_path()\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:12: RuntimeWarning: Mean of empty slice\n", - " if sys.path[0] == '':\n" + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:12: RuntimeWarning: Mean of empty slice\n", + " if sys.path[0] == '':\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:14: RuntimeWarning: Mean of empty slice\n", + " \n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:15: RuntimeWarning: Mean of empty slice\n", + " from ipykernel import kernelapp as app\n" ] } ], @@ -846,6 +933,9 @@ "ua_diffs_latmean_timechunk = numpy.nanmean(ua_diffs_latmean[time_indices_1500,:,:], axis=0)\n", "wa_diffs_latmean_timechunk = numpy.nanmean(wa_diffs_latmean[time_indices_1500,:,:], axis=0)\n", "\n", + "qvapor_400_latmean_timechunk = numpy.nanmean(qvapor_400_latmean[time_indices_1500,:,:], axis=0)\n", + "tk_400_latmean_timechunk = numpy.nanmean(tk_400_latmean[time_indices_1500,:,:], axis=0)\n", + "cldfra_400_latmean_timechunk = numpy.nanmean(cldfra_400_latmean[time_indices_1500,:,:], axis=0)\n", "\n", "pblh_400_latmean_timechunk = numpy.nanmean(pblh_400_latmean[time_indices_1400,:], axis=0)\n", "pblh_1000_latmean_timechunk = numpy.nanmean(pblh_1000_latmean[time_indices_1400,:], axis=0)\n", @@ -863,11 +953,11 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 57, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:41:03.074870Z", - "start_time": "2018-07-02T19:41:03.064574Z" + "end_time": "2018-08-10T17:03:16.947672Z", + "start_time": "2018-08-10T17:03:16.941264Z" } }, "outputs": [], @@ -877,11 +967,11 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 70, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:41:09.281453Z", - "start_time": "2018-07-02T19:41:05.191931Z" + "end_time": "2018-08-10T17:10:25.736638Z", + "start_time": "2018-08-10T17:10:22.031342Z" } }, "outputs": [ @@ -1058,16 +1148,228 @@ " fontsize=fontsize)\n", "\n", "\n", - "fig.savefig('png_files/moisture_clouds_temp_1500_pblh_1400_days2-10_zcoords.png', dpi=600, bbox_inches='tight')" + "fig.savefig('figures/moisture_clouds_temp_1500_pblh_1400_days2-10_zcoords.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# calculate percent changes for manuscript" ] }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 72, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:11:21.108484Z", + "start_time": "2018-08-10T17:11:17.459605Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:39: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:39: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: invalid value encountered in greater\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4,6))\n", + "\n", + "#axes[0].contourf(qvapor_diffs_latmean_timechunk)\n", + "#axes[1].contourf(cldfra_diffs_latmean_timechunk)\n", + "#axes[2].contourf(tk_diffs_latmean_timechunk)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "ax_list = []\n", + "contour_list = []\n", + "\n", + "\n", + "\n", + "ax = fig.add_subplot(311)#, projection=cartopy.crs.PlateCarree())\n", + "levels = numpy.arange(-10,10.1,2)\n", + "contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_latmean_timechunk/(g*1000.),\\\n", + " (qvapor_diffs_latmean_timechunk/qvapor_400_latmean_timechunk)*100.,\\\n", + " levels=levels,\\\n", + " cmap=cmap_precip,\\\n", + " extend='both')\n", + "ax.plot(xx[0,:]+360.,pblh_400_latmean_timechunk/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_latmean_timechunk/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlim(279,321)\n", + "ax.set_ylim(0,3.25)\n", + "ax.set_yticks([1,2,3])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_ylabel('km', fontsize=fontsize)\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "contour_list.append(contour_plot)\n", + "\n", + "\n", + "\n", + "\n", + "ax = fig.add_subplot(312)#, projection=cartopy.crs.PlateCarree())\n", + "levels = numpy.arange(-200,201,20)\n", + "plot_field = cldfra_diffs_latmean_timechunk/cldfra_400_latmean_timechunk*100.\n", + "plot_field[plot_field>1e10]=numpy.nan\n", + "contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_latmean_timechunk/(g*1000.),\\\n", + " plot_field,\\\n", + " levels=levels,\\\n", + " cmap=cmocean.cm.balance_r,\\\n", + " extend='both',\\\n", + " )\n", + "ax.plot(xx[0,:]+360.,pblh_400_latmean_timechunk/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_latmean_timechunk/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,3.25)\n", + "ax.set_xlim(279,321)\n", + "ax.set_yticks([1,2,3])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_ylabel('km', fontsize=fontsize)\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "contour_list.append(contour_plot)\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .3 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .2#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "ax = fig.add_subplot(313)#, projection=cartopy.crs.PlateCarree())\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_latmean_timechunk/(g*1000.),\\\n", + " tk_diffs_latmean_timechunk/tk_400_latmean_timechunk*100.,\\\n", + " levels=levels,\\\n", + " cmap='PuOr_r',\\\n", + " extend='both')\n", + "ax.plot(xx[0,:]+360.,pblh_400_latmean_timechunk/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_latmean_timechunk/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,3.25)\n", + "ax.set_xlim(279,321)\n", + "ax.set_yticks([1,2,3])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_ylabel('km', fontsize=fontsize)\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "contour_list.append(contour_plot)\n", + "\n", + "\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_latmean_timechunk[z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_latmean_timechunk[z_indices,::every_nth_lon],\\\n", + " wa_diffs_latmean_timechunk[z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width)#, headwidth=quiver_head_width,\\\n", + " #headlength=quiver_head_length)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(0.9,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower left', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "ax_list[0].text(s='(a) $\\Delta$ moisture (15:00, days 2–10)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax_list[0].transAxes)\n", + "ax_list[1].text(s='(b) $\\Delta$ cloud fraction (15:00, days 2–10)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax_list[1].transAxes)\n", + "ax_list[2].text(s='(c) $\\Delta$ temperature (15:00, days 2–10)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax_list[2].transAxes)\n", + "\n", + "axpos1 = ax_list[0].get_position()\n", + "axpos2 = ax_list[1].get_position()\n", + "axpos3 = ax_list[2].get_position()\n", + "\n", + "cbar_ax1 = fig.add_axes([axpos1.x1+0.05,axpos1.y0,0.035,axpos1.height])\n", + "cbar_ax2 = fig.add_axes([axpos2.x1+0.05,axpos2.y0,0.035,axpos2.height])\n", + "cbar_ax3 = fig.add_axes([axpos3.x1+0.05,axpos3.y0,0.035,axpos3.height])\n", + "\n", + "cbar1 = fig.colorbar(contour_list[0], cax=cbar_ax1)\n", + "cbar_ax1.tick_params(labelsize=fontsize)\n", + "#cbar1.set_ticks([-1,-.5,0,.5,1])\n", + "cbar1.set_label('%', fontsize=fontsize)\n", + "\n", + "cbar2 = fig.colorbar(contour_list[1], cax=cbar_ax2)\n", + "cbar_ax2.tick_params(labelsize=fontsize)\n", + "#cbar2.set_ticks([-20,-10,0,10,20])\n", + "cbar2.set_label('%', fontsize=fontsize)\n", + "\n", + "cbar3 = fig.colorbar(contour_list[2], cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.set_ticks([-1.5,-1,-.5,0,.5,1,1.5])\n", + "cbar3.set_label('%', fontsize=fontsize)\n", + "\n", + "\n", + "quiver_key = ax_list[2].quiverkey(quiver_plot, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[2].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=1.01, y=1.02,\\\n", + " ha='left', va='bottom',\\\n", + " transform=ax_list[2].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "\n", + "fig.savefig('figures/moisture_clouds_temp_1500_pblh_1400_days2-10_zcoords_percent_change.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 69, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:41:54.462171Z", - "start_time": "2018-07-02T19:41:50.811061Z" + "end_time": "2018-08-10T17:10:12.084025Z", + "start_time": "2018-08-10T17:10:08.090346Z" } }, "outputs": [ @@ -1240,7 +1542,7 @@ " fontsize=fontsize)\n", "\n", "\n", - "fig.savefig('png_files/moisture_clouds_temp_1500_pblh_1400_days2-10_pcoords.png', dpi=600, bbox_inches='tight')\n", + "fig.savefig('figures/moisture_clouds_temp_1500_pblh_1400_days2-10_pcoords.png', dpi=600, bbox_inches='tight')\n", "\n" ] }, @@ -3301,7 +3603,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.6.5" }, "varInspector": { "cols": { diff --git a/.ipynb_checkpoints/gp1_NOT_USED_FIRST_DAY_SENSITIVITY_moisture_pblh_diurnal_cycle-checkpoint.ipynb b/.ipynb_checkpoints/gp1_NOT_USED_FIRST_DAY_SENSITIVITY_moisture_pblh_diurnal_cycle-checkpoint.ipynb new file mode 100644 index 0000000..cc36f8b --- /dev/null +++ b/.ipynb_checkpoints/gp1_NOT_USED_FIRST_DAY_SENSITIVITY_moisture_pblh_diurnal_cycle-checkpoint.ipynb @@ -0,0 +1,4709 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import stuff" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T20:10:33.373806Z", + "start_time": "2018-06-14T20:10:33.308353Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import glob\n", + "import netCDF4\n", + "import pandas\n", + "import wrf\n", + "import string\n", + "import seaborn\n", + "import matplotlib.colors\n", + "import cmocean\n", + "\n", + "import cartopy\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# open control data" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T05:57:02.847724Z", + "start_time": "2018-06-14T05:57:02.641368Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400/ens_mean_wrfout_files'\n", + "file_list = sorted(glob.glob(root_dir+'/'+'wrfout*.nc'))\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T05:57:07.212654Z", + "start_time": "2018-06-14T05:57:02.939773Z" + } + }, + "outputs": [], + "source": [ + "cont_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*.nc')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T05:58:04.167749Z", + "start_time": "2018-06-14T05:57:07.222605Z" + } + }, + "outputs": [], + "source": [ + "ptot_400 = numpy.load('DATA_ptot_400.npy')\n", + "tk_400 = numpy.load('DATA_tk_400.npy')\n", + "ua_400 = numpy.load('DATA_ua_400.npy')\n", + "wa_400 = numpy.load('DATA_wa_400.npy')\n", + "geopot_400 = numpy.load('DATA_geopot_400.npy')\n", + "mse_400 = numpy.load('DATA_mse_400.npy')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T05:58:04.641225Z", + "start_time": "2018-06-14T05:58:04.627808Z" + } + }, + "outputs": [], + "source": [ + "rainc_400 = cont_mfds['RAINC']\n", + "rainnc_400 = cont_mfds['RAINNC']\n", + "qvapor_400 = cont_mfds['QVAPOR']\n", + "w_400 = cont_mfds['W']\n", + "u_400 = cont_mfds['U']\n", + "pblh_400 = cont_mfds['PBLH']\n", + "phb_400 = cont_mfds['PHB']\n", + "qcloud_400 = cont_mfds['QCLOUD']\n", + "cldfra_400 = cont_mfds['CLDFRA']" + ] + }, + { + "cell_type": "code", + "execution_count": 138, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:22:19.908230Z", + "start_time": "2018-06-16T01:22:19.902072Z" + } + }, + "outputs": [], + "source": [ + "qrain_400 = cont_mfds['QRAIN']" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T05:58:37.066621Z", + "start_time": "2018-06-14T05:58:05.111546Z" + } + }, + "outputs": [], + "source": [ + "time = cont_mfds['Times'].values\n", + "xlat = cont_mfds['XLAT'].values[0,:,:]\n", + "xlong = cont_mfds['XLONG'].values[0,:,:]\n", + "landmask = cont_mfds['LANDMASK'].values[0,:,:]\n", + "landmask_midpoints = landmask[1:,1:]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# open phys data" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T05:58:38.978292Z", + "start_time": "2018-06-14T05:58:38.018222Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000/ens_mean_wrfout_files'\n", + "file_list = sorted(glob.glob(root_dir+'/'+'wrfout*.nc'))\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T05:58:45.648385Z", + "start_time": "2018-06-14T05:58:38.986634Z" + } + }, + "outputs": [], + "source": [ + "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*.nc')" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:00:42.493093Z", + "start_time": "2018-06-14T05:58:47.029912Z" + } + }, + "outputs": [], + "source": [ + "ptot_1000 = numpy.load('DATA_ptot_1000.npy')\n", + "ua_1000 = numpy.load('DATA_ua_1000.npy')\n", + "wa_1000 = numpy.load('DATA_wa_1000.npy')\n", + "tk_1000 = numpy.load('DATA_tk_1000.npy')\n", + "mse_1000 = numpy.load('DATA_mse_1000.npy')" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:00:42.515478Z", + "start_time": "2018-06-14T06:00:42.501747Z" + } + }, + "outputs": [], + "source": [ + "rainc_1000 = phys_mfds['RAINC']\n", + "rainnc_1000 = phys_mfds['RAINNC']\n", + "qvapor_1000 = phys_mfds['QVAPOR']\n", + "w_1000 = phys_mfds['W']\n", + "u_1000 = phys_mfds['U']\n", + "pblh_1000 = phys_mfds['PBLH']\n", + "phb_1000 = phys_mfds['PHB']\n", + "qcloud_1000 = phy`s_mfds['QCLOUD']\n", + "cldfra_1000 = phys_mfds['CLDFRA']" + ] + }, + { + "cell_type": "code", + "execution_count": 137, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:22:08.388270Z", + "start_time": "2018-06-16T01:22:08.379781Z" + } + }, + "outputs": [], + "source": [ + "qrain_1000 = phys_mfds['QRAIN']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# get time data" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:00:44.184633Z", + "start_time": "2018-06-14T06:00:44.169174Z" + } + }, + "outputs": [], + "source": [ + "time_datetimes = pandas.to_datetime([i.decode('utf-8') for i in time], format = '%Y-%m-%d_%H:%M:%S')" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:00:44.373886Z", + "start_time": "2018-06-14T06:00:44.192837Z" + } + }, + "outputs": [], + "source": [ + "skip_time = 24\n", + "n_intervals = 8\n", + "hour_strings = ['06','09','12','15','18','21','00','03']\n", + "hour_strings_local = ['02', '05', '08', '11', '14', '17','20', '23']\n", + "\n", + "times_00 = [t.hour in [23,0,1] for t in time_datetimes[skip_time:]]\n", + "times_03 = [t.hour in [2,3,4] for t in time_datetimes[skip_time:]]\n", + "times_06 = [t.hour in [5,6,7] for t in time_datetimes[skip_time:]]\n", + "times_09 = [t.hour in [8,9,10] for t in time_datetimes[skip_time:]]\n", + "times_12 = [t.hour in [11,12,13] for t in time_datetimes[skip_time:]]\n", + "times_15 = [t.hour in [14,15,16] for t in time_datetimes[skip_time:]]\n", + "times_18 = [t.hour in [17,18,19] for t in time_datetimes[skip_time:]]\n", + "times_21 = [t.hour in [20,21,22] for t in time_datetimes[skip_time:]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# lat indices" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:00:46.035714Z", + "start_time": "2018-06-14T06:00:46.029599Z" + } + }, + "outputs": [], + "source": [ + "lat_hi = 10.\n", + "lat_lo = -10.\n", + "\n", + "# subset between lat_hi and lat_lo\n", + "lat_indices = (xlat<=lat_hi)&(xlat>=lat_lo)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:00:46.876824Z", + "start_time": "2018-06-14T06:00:46.871744Z" + } + }, + "outputs": [], + "source": [ + "g = 9.80665" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PBLH diffs" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:01:11.030144Z", + "start_time": "2018-06-14T06:00:47.713182Z" + } + }, + "outputs": [], + "source": [ + "pblh_diffs = pblh_1000.values-pblh_400.values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# mse" + ] + }, + { + "cell_type": "code", + "execution_count": 175, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T02:45:05.441917Z", + "start_time": "2018-06-16T02:40:31.935108Z" + } + }, + "outputs": [], + "source": [ + "mse_diffs = mse_1000-mse_400\n", + "\n", + "mse_diffs_landmask = numpy.copy(mse_diffs)\n", + "mse_diffs_landmask[:,:,landmask==1]=numpy.nan\n", + "\n", + "mse_diffs_lat_subset = mse_diffs[:,:,lat_indices[:,0],:]\n", + "\n", + "mse_400_landmask = numpy.copy(mse_400)\n", + "mse_400_landmask[:,:,landmask==1]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 176, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T02:45:31.258813Z", + "start_time": "2018-06-16T02:45:14.600027Z" + } + }, + "outputs": [], + "source": [ + "mse_400_lat_subset = mse_400[:,:,lat_indices[:,0],:]\n", + "mse_diffs_lat_mean = numpy.nanmean(mse_diffs_lat_subset, axis=2)\n", + "mse_400_lat_mean = numpy.nanmean(mse_400_lat_subset, axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# qvapor" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:04:15.715619Z", + "start_time": "2018-06-14T06:01:11.871972Z" + } + }, + "outputs": [], + "source": [ + "qvapor_diffs = qvapor_1000.values-qvapor_400.values\n", + "\n", + "qvapor_diffs_landmask = numpy.copy(qvapor_diffs)\n", + "qvapor_diffs_landmask[:,:,landmask==1]=numpy.nan\n", + "\n", + "qvapor_diffs_lat_subset = qvapor_diffs[:,:,lat_indices[:,0],:]\n", + "\n", + "qvapor_400_landmask = numpy.copy(qvapor_400)\n", + "qvapor_400_landmask[:,:,landmask==1]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:04:33.131950Z", + "start_time": "2018-06-14T06:04:15.724744Z" + } + }, + "outputs": [], + "source": [ + "qvapor_400_lat_subset = qvapor_400[:,:,lat_indices[:,0],:]\n", + "qvapor_diffs_lat_mean = numpy.nanmean(qvapor_diffs_lat_subset, axis=2)\n", + "qvapor_400_lat_mean = numpy.nanmean(qvapor_400_lat_subset, axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# qcloud" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:08:12.262490Z", + "start_time": "2018-06-14T06:04:35.084316Z" + } + }, + "outputs": [], + "source": [ + "qcloud_diffs = qcloud_1000.values-qcloud_400.values\n", + "\n", + "qcloud_diffs_landmask = numpy.copy(qcloud_diffs)\n", + "qcloud_diffs_landmask[:,:,landmask==1]=numpy.nan\n", + "\n", + "qcloud_diffs_lat_subset = qcloud_diffs[:,:,lat_indices[:,0],:]\n", + "\n", + "qcloud_400_landmask = numpy.copy(qcloud_400)\n", + "qcloud_400_landmask[:,:,landmask==1]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:08:30.693908Z", + "start_time": "2018-06-14T06:08:13.491788Z" + } + }, + "outputs": [], + "source": [ + "qcloud_400_lat_subset = qcloud_400[:,:,lat_indices[:,0],:]\n", + "qcloud_diffs_lat_mean = numpy.nanmean(qcloud_diffs_lat_subset, axis=2)\n", + "qcloud_400_lat_mean = numpy.nanmean(qcloud_400_lat_subset, axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# qrain" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:27:48.354538Z", + "start_time": "2018-06-16T01:23:08.233058Z" + } + }, + "outputs": [], + "source": [ + "qrain_diffs = qrain_1000.values-qrain_400.values\n", + "\n", + "qrain_diffs_landmask = numpy.copy(qrain_diffs)\n", + "qrain_diffs_landmask[:,:,landmask==1]=numpy.nan\n", + "\n", + "qrain_diffs_lat_subset = qrain_diffs[:,:,lat_indices[:,0],:]\n", + "\n", + "qrain_400_landmask = numpy.copy(qrain_400)\n", + "qrain_400_landmask[:,:,landmask==1]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:28:18.079350Z", + "start_time": "2018-06-16T01:27:56.820402Z" + } + }, + "outputs": [], + "source": [ + "qrain_400_lat_subset = qrain_400[:,:,lat_indices[:,0],:]\n", + "qrain_diffs_lat_mean = numpy.nanmean(qrain_diffs_lat_subset, axis=2)\n", + "qrain_400_lat_mean = numpy.nanmean(qrain_400_lat_subset, axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# cldfra" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:19:13.611597Z", + "start_time": "2018-06-14T06:08:31.797511Z" + } + }, + "outputs": [], + "source": [ + "cldfra_diffs = cldfra_1000.values-cldfra_400.values\n", + "\n", + "cldfra_diffs_landmask = numpy.copy(cldfra_diffs)\n", + "cldfra_diffs_landmask[:,:,landmask==1]=numpy.nan\n", + "\n", + "cldfra_diffs_lat_subset = cldfra_diffs[:,:,lat_indices[:,0],:]\n", + "\n", + "cldfra_400_landmask = numpy.copy(cldfra_400)\n", + "cldfra_400_landmask[:,:,landmask==1]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:20:20.509608Z", + "start_time": "2018-06-14T06:19:14.812532Z" + } + }, + "outputs": [], + "source": [ + "cldfra_400_lat_subset = cldfra_400[:,:,lat_indices[:,0],:]\n", + "cldfra_diffs_lat_mean = numpy.nanmean(cldfra_diffs_lat_subset, axis=2)\n", + "cldfra_400_lat_mean = numpy.nanmean(cldfra_400_lat_subset, axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# wa and ua diffs" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:20:59.146253Z", + "start_time": "2018-06-14T06:20:21.721897Z" + } + }, + "outputs": [], + "source": [ + "ua_diffs = ua_1000-ua_400\n", + "wa_diffs = wa_1000-wa_400" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:21:14.141409Z", + "start_time": "2018-06-14T06:20:59.154611Z" + } + }, + "outputs": [], + "source": [ + "ua_diffs_lat_subset = ua_diffs[:,:,lat_indices[:,0],:]\n", + "ua_400_lat_subset = ua_400[:,:,lat_indices[:,0],:]\n", + "\n", + "wa_diffs_lat_subset = wa_diffs[:,:,lat_indices[:,0],:]\n", + "wa_400_lat_subset = wa_400[:,:,lat_indices[:,0],:]" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:22:24.470162Z", + "start_time": "2018-06-14T06:21:15.531018Z" + } + }, + "outputs": [], + "source": [ + "ua_diffs_lat_mean = numpy.nanmean(ua_diffs_lat_subset, axis=2)\n", + "wa_diffs_lat_mean = numpy.nanmean(wa_diffs_lat_subset, axis=2)\n", + "\n", + "ua_400_lat_mean = numpy.nanmean(ua_400_lat_subset, axis=2)\n", + "wa_400_lat_mean = numpy.nanmean(wa_400_lat_subset, axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# tk" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:22:47.013642Z", + "start_time": "2018-06-14T06:22:27.305473Z" + } + }, + "outputs": [], + "source": [ + "tk_diffs = tk_1000 - tk_400" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:22:55.265428Z", + "start_time": "2018-06-14T06:22:48.462766Z" + } + }, + "outputs": [], + "source": [ + "tk_diffs_lat_subset = tk_diffs[:,:,lat_indices[:,0],:]\n", + "tk_400_lat_subset = tk_400[:,:,lat_indices[:,0],:]" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:23:25.730247Z", + "start_time": "2018-06-14T06:22:55.273810Z" + } + }, + "outputs": [], + "source": [ + "tk_diffs_lat_mean = numpy.nanmean(tk_diffs_lat_subset, axis=2)\n", + "tk_400_lat_mean = numpy.nanmean(tk_400_lat_subset, axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# geopotential" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:23:59.233736Z", + "start_time": "2018-06-14T06:23:28.881655Z" + } + }, + "outputs": [], + "source": [ + "geopot_400_landmask = numpy.copy(geopot_400)\n", + "geopot_400_landmask[:,:,landmask==1]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:11.121599Z", + "start_time": "2018-06-14T06:24:00.789029Z" + } + }, + "outputs": [], + "source": [ + "geopot_400_lat_subset = geopot_400[:,:,lat_indices[:,0],:]\n", + "geopot_400_lat_mean = numpy.nanmean(geopot_400_lat_subset, axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# pblh" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:19.846014Z", + "start_time": "2018-06-14T06:24:12.714537Z" + } + }, + "outputs": [], + "source": [ + "pblh_diffs_landmask = numpy.copy(pblh_diffs)\n", + "pblh_diffs_landmask[:,landmask==0]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:26.075221Z", + "start_time": "2018-06-14T06:24:21.449325Z" + } + }, + "outputs": [], + "source": [ + "pblh_400_landmask = numpy.copy(pblh_400)\n", + "pblh_400_landmask[:,landmask==0]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:28.572763Z", + "start_time": "2018-06-14T06:24:27.803955Z" + } + }, + "outputs": [], + "source": [ + "pblh_1000_landmask = numpy.copy(pblh_1000)\n", + "pblh_1000_landmask[:,landmask==0]=numpy.nan" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Set lontidues west of 290º equal to NaN so that Andes don't have a weird boundary layer" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:30.197366Z", + "start_time": "2018-06-14T06:24:30.191401Z" + } + }, + "outputs": [], + "source": [ + "lon_lo = 290-360\n", + "lon_hi = 320-360\n", + "lon_indices = (xlong[0,:]lon_hi)" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:33.391654Z", + "start_time": "2018-06-14T06:24:31.812024Z" + } + }, + "outputs": [], + "source": [ + "pblh_diffs_lat_subset = pblh_diffs_landmask[:,lat_indices[:,0],:]\n", + "pblh_400_lat_subset = pblh_400_landmask[:,lat_indices[:,0],:]\n", + "pblh_1000_lat_subset = pblh_1000_landmask[:,lat_indices[:,0],:]\n", + "\n", + "pblh_400_lat_subset[:,:,lon_indices]=numpy.nan\n", + "pblh_1000_lat_subset[:,:,lon_indices]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:33.578899Z", + "start_time": "2018-06-14T06:24:33.400048Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + " \n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", + " This is separate from the ipykernel package so we can avoid doing imports until\n" + ] + } + ], + "source": [ + "pblh_diffs_lat_mean = numpy.nanmean(pblh_diffs_lat_subset, axis=1)\n", + "pblh_400_lat_mean = numpy.nanmean(pblh_400_lat_subset, axis=1)\n", + "pblh_1000_lat_mean = numpy.nanmean(pblh_1000_lat_subset, axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3 hourly means of ua" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:36.869927Z", + "start_time": "2018-06-14T06:24:36.852443Z" + } + }, + "outputs": [], + "source": [ + "ua_400_t00mean = numpy.mean(ua_400_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "ua_400_t03mean = numpy.mean(ua_400_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "ua_400_t06mean = numpy.mean(ua_400_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "ua_400_t09mean = numpy.mean(ua_400_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "ua_400_t12mean = numpy.mean(ua_400_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "ua_400_t15mean = numpy.mean(ua_400_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "ua_400_t18mean = numpy.mean(ua_400_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "ua_400_t21mean = numpy.mean(ua_400_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "ua_400_array = numpy.array([ua_400_t06mean, ua_400_t09mean, ua_400_t12mean, ua_400_t15mean, ua_400_t18mean, ua_400_t21mean, ua_400_t00mean, ua_400_t03mean])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:36.989686Z", + "start_time": "2018-06-14T06:24:36.878352Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "ua_diffs_t00mean = numpy.mean(ua_diffs_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "ua_diffs_t03mean = numpy.mean(ua_diffs_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "ua_diffs_t06mean = numpy.mean(ua_diffs_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "ua_diffs_t09mean = numpy.mean(ua_diffs_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "ua_diffs_t12mean = numpy.mean(ua_diffs_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "ua_diffs_t15mean = numpy.mean(ua_diffs_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "ua_diffs_t18mean = numpy.mean(ua_diffs_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "ua_diffs_t21mean = numpy.mean(ua_diffs_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "ua_diffs_array = numpy.array([ua_diffs_t06mean, ua_diffs_t09mean, ua_diffs_t12mean, ua_diffs_t15mean, ua_diffs_t18mean, ua_diffs_t21mean, ua_diffs_t00mean, ua_diffs_t03mean])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3 hourly means of wa" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:40.469584Z", + "start_time": "2018-06-14T06:24:40.451789Z" + } + }, + "outputs": [], + "source": [ + "wa_400_t00mean = numpy.mean(wa_400_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "wa_400_t03mean = numpy.mean(wa_400_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "wa_400_t06mean = numpy.mean(wa_400_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "wa_400_t09mean = numpy.mean(wa_400_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "wa_400_t12mean = numpy.mean(wa_400_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "wa_400_t15mean = numpy.mean(wa_400_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "wa_400_t18mean = numpy.mean(wa_400_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "wa_400_t21mean = numpy.mean(wa_400_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "wa_400_array = numpy.array([wa_400_t06mean, wa_400_t09mean, wa_400_t12mean, wa_400_t15mean, wa_400_t18mean, wa_400_t21mean, wa_400_t00mean, wa_400_t03mean])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:40.613573Z", + "start_time": "2018-06-14T06:24:40.478015Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "wa_diffs_t00mean = numpy.mean(wa_diffs_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "wa_diffs_t03mean = numpy.mean(wa_diffs_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "wa_diffs_t06mean = numpy.mean(wa_diffs_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "wa_diffs_t09mean = numpy.mean(wa_diffs_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "wa_diffs_t12mean = numpy.mean(wa_diffs_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "wa_diffs_t15mean = numpy.mean(wa_diffs_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "wa_diffs_t18mean = numpy.mean(wa_diffs_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "wa_diffs_t21mean = numpy.mean(wa_diffs_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "wa_diffs_array = numpy.array([wa_diffs_t06mean, wa_diffs_t09mean, wa_diffs_t12mean, wa_diffs_t15mean, wa_diffs_t18mean, wa_diffs_t21mean, wa_diffs_t00mean, wa_diffs_t03mean])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3 hourly means of tk" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:44.039399Z", + "start_time": "2018-06-14T06:24:44.021860Z" + } + }, + "outputs": [], + "source": [ + "tk_400_t00mean = numpy.mean(tk_400_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "tk_400_t03mean = numpy.mean(tk_400_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "tk_400_t06mean = numpy.mean(tk_400_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "tk_400_t09mean = numpy.mean(tk_400_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "tk_400_t12mean = numpy.mean(tk_400_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "tk_400_t15mean = numpy.mean(tk_400_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "tk_400_t18mean = numpy.mean(tk_400_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "tk_400_t21mean = numpy.mean(tk_400_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "tk_400_array = numpy.array([tk_400_t06mean, tk_400_t09mean, tk_400_t12mean, tk_400_t15mean, tk_400_t18mean, tk_400_t21mean, tk_400_t00mean, tk_400_t03mean])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:44.200630Z", + "start_time": "2018-06-14T06:24:44.047829Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "tk_diffs_t00mean = numpy.mean(tk_diffs_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "tk_diffs_t03mean = numpy.mean(tk_diffs_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "tk_diffs_t06mean = numpy.mean(tk_diffs_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "tk_diffs_t09mean = numpy.mean(tk_diffs_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "tk_diffs_t12mean = numpy.mean(tk_diffs_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "tk_diffs_t15mean = numpy.mean(tk_diffs_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "tk_diffs_t18mean = numpy.mean(tk_diffs_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "tk_diffs_t21mean = numpy.mean(tk_diffs_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "tk_diffs_array = numpy.array([tk_diffs_t06mean, tk_diffs_t09mean, tk_diffs_t12mean, tk_diffs_t15mean, tk_diffs_t18mean, tk_diffs_t21mean, tk_diffs_t00mean, tk_diffs_t03mean])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3 hourly means of mse" + ] + }, + { + "cell_type": "code", + "execution_count": 177, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T02:45:40.832565Z", + "start_time": "2018-06-16T02:45:40.814120Z" + } + }, + "outputs": [], + "source": [ + "mse_400_t00mean = numpy.mean(mse_400_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "mse_400_t03mean = numpy.mean(mse_400_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "mse_400_t06mean = numpy.mean(mse_400_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "mse_400_t09mean = numpy.mean(mse_400_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "mse_400_t12mean = numpy.mean(mse_400_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "mse_400_t15mean = numpy.mean(mse_400_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "mse_400_t18mean = numpy.mean(mse_400_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "mse_400_t21mean = numpy.mean(mse_400_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "mse_400_array = numpy.array([mse_400_t06mean, mse_400_t09mean, mse_400_t12mean, mse_400_t15mean, mse_400_t18mean, mse_400_t21mean, mse_400_t00mean, mse_400_t03mean])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 178, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T02:45:50.883304Z", + "start_time": "2018-06-16T02:45:50.864108Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "mse_diffs_t00mean = numpy.mean(mse_diffs_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "mse_diffs_t03mean = numpy.mean(mse_diffs_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "mse_diffs_t06mean = numpy.mean(mse_diffs_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "mse_diffs_t09mean = numpy.mean(mse_diffs_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "mse_diffs_t12mean = numpy.mean(mse_diffs_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "mse_diffs_t15mean = numpy.mean(mse_diffs_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "mse_diffs_t18mean = numpy.mean(mse_diffs_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "mse_diffs_t21mean = numpy.mean(mse_diffs_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "mse_diffs_array = numpy.array([mse_diffs_t06mean, mse_diffs_t09mean, mse_diffs_t12mean, mse_diffs_t15mean, mse_diffs_t18mean, mse_diffs_t21mean, mse_diffs_t00mean, mse_diffs_t03mean])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3 hourly means of qvapor" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:47.816288Z", + "start_time": "2018-06-14T06:24:47.797831Z" + } + }, + "outputs": [], + "source": [ + "qvapor_400_t00mean = numpy.mean(qvapor_400_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "qvapor_400_t03mean = numpy.mean(qvapor_400_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "qvapor_400_t06mean = numpy.mean(qvapor_400_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "qvapor_400_t09mean = numpy.mean(qvapor_400_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "qvapor_400_t12mean = numpy.mean(qvapor_400_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "qvapor_400_t15mean = numpy.mean(qvapor_400_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "qvapor_400_t18mean = numpy.mean(qvapor_400_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "qvapor_400_t21mean = numpy.mean(qvapor_400_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "qvapor_400_array = numpy.array([qvapor_400_t06mean, qvapor_400_t09mean, qvapor_400_t12mean, qvapor_400_t15mean, qvapor_400_t18mean, qvapor_400_t21mean, qvapor_400_t00mean, qvapor_400_t03mean])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:47.967095Z", + "start_time": "2018-06-14T06:24:47.824733Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "qvapor_diffs_t00mean = numpy.mean(qvapor_diffs_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "qvapor_diffs_t03mean = numpy.mean(qvapor_diffs_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "qvapor_diffs_t06mean = numpy.mean(qvapor_diffs_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "qvapor_diffs_t09mean = numpy.mean(qvapor_diffs_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "qvapor_diffs_t12mean = numpy.mean(qvapor_diffs_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "qvapor_diffs_t15mean = numpy.mean(qvapor_diffs_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "qvapor_diffs_t18mean = numpy.mean(qvapor_diffs_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "qvapor_diffs_t21mean = numpy.mean(qvapor_diffs_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "qvapor_diffs_array = numpy.array([qvapor_diffs_t06mean, qvapor_diffs_t09mean, qvapor_diffs_t12mean, qvapor_diffs_t15mean, qvapor_diffs_t18mean, qvapor_diffs_t21mean, qvapor_diffs_t00mean, qvapor_diffs_t03mean])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3 hourly means of qrain" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:28:26.645384Z", + "start_time": "2018-06-16T01:28:26.580793Z" + } + }, + "outputs": [], + "source": [ + "qrain_400_t00mean = numpy.mean(qrain_400_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "qrain_400_t03mean = numpy.mean(qrain_400_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "qrain_400_t06mean = numpy.mean(qrain_400_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "qrain_400_t09mean = numpy.mean(qrain_400_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "qrain_400_t12mean = numpy.mean(qrain_400_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "qrain_400_t15mean = numpy.mean(qrain_400_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "qrain_400_t18mean = numpy.mean(qrain_400_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "qrain_400_t21mean = numpy.mean(qrain_400_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "qrain_400_array = numpy.array([qrain_400_t06mean, qrain_400_t09mean, qrain_400_t12mean, qrain_400_t15mean, qrain_400_t18mean, qrain_400_t21mean, qrain_400_t00mean, qrain_400_t03mean])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 142, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:28:35.252578Z", + "start_time": "2018-06-16T01:28:35.191414Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "qrain_diffs_t00mean = numpy.mean(qrain_diffs_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "qrain_diffs_t03mean = numpy.mean(qrain_diffs_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "qrain_diffs_t06mean = numpy.mean(qrain_diffs_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "qrain_diffs_t09mean = numpy.mean(qrain_diffs_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "qrain_diffs_t12mean = numpy.mean(qrain_diffs_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "qrain_diffs_t15mean = numpy.mean(qrain_diffs_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "qrain_diffs_t18mean = numpy.mean(qrain_diffs_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "qrain_diffs_t21mean = numpy.mean(qrain_diffs_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "qrain_diffs_array = numpy.array([qrain_diffs_t06mean, qrain_diffs_t09mean, qrain_diffs_t12mean, qrain_diffs_t15mean, qrain_diffs_t18mean, qrain_diffs_t21mean, qrain_diffs_t00mean, qrain_diffs_t03mean])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3 hourly means of qcloud" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:51.518162Z", + "start_time": "2018-06-14T06:24:51.500132Z" + } + }, + "outputs": [], + "source": [ + "qcloud_400_t00mean = numpy.mean(qcloud_400_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "qcloud_400_t03mean = numpy.mean(qcloud_400_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "qcloud_400_t06mean = numpy.mean(qcloud_400_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "qcloud_400_t09mean = numpy.mean(qcloud_400_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "qcloud_400_t12mean = numpy.mean(qcloud_400_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "qcloud_400_t15mean = numpy.mean(qcloud_400_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "qcloud_400_t18mean = numpy.mean(qcloud_400_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "qcloud_400_t21mean = numpy.mean(qcloud_400_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "qcloud_400_array = numpy.array([qcloud_400_t06mean, qcloud_400_t09mean, qcloud_400_t12mean, qcloud_400_t15mean, qcloud_400_t18mean, qcloud_400_t21mean, qcloud_400_t00mean, qcloud_400_t03mean])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:51.614058Z", + "start_time": "2018-06-14T06:24:51.526640Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "qcloud_diffs_t00mean = numpy.mean(qcloud_diffs_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "qcloud_diffs_t03mean = numpy.mean(qcloud_diffs_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "qcloud_diffs_t06mean = numpy.mean(qcloud_diffs_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "qcloud_diffs_t09mean = numpy.mean(qcloud_diffs_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "qcloud_diffs_t12mean = numpy.mean(qcloud_diffs_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "qcloud_diffs_t15mean = numpy.mean(qcloud_diffs_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "qcloud_diffs_t18mean = numpy.mean(qcloud_diffs_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "qcloud_diffs_t21mean = numpy.mean(qcloud_diffs_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "qcloud_diffs_array = numpy.array([qcloud_diffs_t06mean, qcloud_diffs_t09mean, qcloud_diffs_t12mean, qcloud_diffs_t15mean, qcloud_diffs_t18mean, qcloud_diffs_t21mean, qcloud_diffs_t00mean, qcloud_diffs_t03mean])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3 hourly cldfra means" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:55.226835Z", + "start_time": "2018-06-14T06:24:55.208300Z" + } + }, + "outputs": [], + "source": [ + "cldfra_400_t00mean = numpy.mean(cldfra_400_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "cldfra_400_t03mean = numpy.mean(cldfra_400_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "cldfra_400_t06mean = numpy.mean(cldfra_400_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "cldfra_400_t09mean = numpy.mean(cldfra_400_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "cldfra_400_t12mean = numpy.mean(cldfra_400_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "cldfra_400_t15mean = numpy.mean(cldfra_400_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "cldfra_400_t18mean = numpy.mean(cldfra_400_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "cldfra_400_t21mean = numpy.mean(cldfra_400_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "cldfra_400_array = numpy.array([cldfra_400_t06mean, cldfra_400_t09mean, cldfra_400_t12mean, cldfra_400_t15mean, cldfra_400_t18mean, cldfra_400_t21mean, cldfra_400_t00mean, cldfra_400_t03mean])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:55.330527Z", + "start_time": "2018-06-14T06:24:55.235279Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "cldfra_diffs_t00mean = numpy.mean(cldfra_diffs_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "cldfra_diffs_t03mean = numpy.mean(cldfra_diffs_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "cldfra_diffs_t06mean = numpy.mean(cldfra_diffs_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "cldfra_diffs_t09mean = numpy.mean(cldfra_diffs_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "cldfra_diffs_t12mean = numpy.mean(cldfra_diffs_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "cldfra_diffs_t15mean = numpy.mean(cldfra_diffs_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "cldfra_diffs_t18mean = numpy.mean(cldfra_diffs_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "cldfra_diffs_t21mean = numpy.mean(cldfra_diffs_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "cldfra_diffs_array = numpy.array([cldfra_diffs_t06mean, cldfra_diffs_t09mean, cldfra_diffs_t12mean, cldfra_diffs_t15mean, cldfra_diffs_t18mean, cldfra_diffs_t21mean, cldfra_diffs_t00mean, cldfra_diffs_t03mean])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3 hourly means of pblh" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:59.102823Z", + "start_time": "2018-06-14T06:24:59.085443Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "pblh_400_t00mean = numpy.mean(pblh_400_lat_mean[skip_time:][times_00,:], axis=0)\n", + "pblh_400_t03mean = numpy.mean(pblh_400_lat_mean[skip_time:][times_03,:], axis=0)\n", + "pblh_400_t06mean = numpy.mean(pblh_400_lat_mean[skip_time:][times_06,:], axis=0)\n", + "pblh_400_t09mean = numpy.mean(pblh_400_lat_mean[skip_time:][times_09,:], axis=0)\n", + "pblh_400_t12mean = numpy.mean(pblh_400_lat_mean[skip_time:][times_12,:], axis=0)\n", + "pblh_400_t15mean = numpy.mean(pblh_400_lat_mean[skip_time:][times_15,:], axis=0)\n", + "pblh_400_t18mean = numpy.mean(pblh_400_lat_mean[skip_time:][times_18,:], axis=0)\n", + "pblh_400_t21mean = numpy.mean(pblh_400_lat_mean[skip_time:][times_21,:], axis=0)\n", + "\n", + "pblh_1000_t00mean = numpy.mean(pblh_1000_lat_mean[skip_time:][times_00,:], axis=0)\n", + "pblh_1000_t03mean = numpy.mean(pblh_1000_lat_mean[skip_time:][times_03,:], axis=0)\n", + "pblh_1000_t06mean = numpy.mean(pblh_1000_lat_mean[skip_time:][times_06,:], axis=0)\n", + "pblh_1000_t09mean = numpy.mean(pblh_1000_lat_mean[skip_time:][times_09,:], axis=0)\n", + "pblh_1000_t12mean = numpy.mean(pblh_1000_lat_mean[skip_time:][times_12,:], axis=0)\n", + "pblh_1000_t15mean = numpy.mean(pblh_1000_lat_mean[skip_time:][times_15,:], axis=0)\n", + "pblh_1000_t18mean = numpy.mean(pblh_1000_lat_mean[skip_time:][times_18,:], axis=0)\n", + "pblh_1000_t21mean = numpy.mean(pblh_1000_lat_mean[skip_time:][times_21,:], axis=0)\n", + "\n", + "pblh_400_array = numpy.array([pblh_400_t06mean, pblh_400_t09mean, pblh_400_t12mean, pblh_400_t15mean, pblh_400_t18mean, pblh_400_t21mean, pblh_400_t00mean, pblh_400_t03mean])\n", + "pblh_1000_array = numpy.array([pblh_1000_t06mean, pblh_1000_t09mean, pblh_1000_t12mean, pblh_1000_t15mean, pblh_1000_t18mean, pblh_1000_t21mean, pblh_1000_t00mean, pblh_1000_t03mean])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:59.240883Z", + "start_time": "2018-06-14T06:24:59.110884Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "pblh_diffs_t00mean = numpy.mean(pblh_diffs_landmask[skip_time:,:,:][times_00,:,:], axis=0)\n", + "pblh_diffs_t03mean = numpy.mean(pblh_diffs_landmask[skip_time:,:,:][times_03,:,:], axis=0)\n", + "pblh_diffs_t06mean = numpy.mean(pblh_diffs_landmask[skip_time:,:,:][times_06,:,:], axis=0)\n", + "pblh_diffs_t09mean = numpy.mean(pblh_diffs_landmask[skip_time:,:,:][times_09,:,:], axis=0)\n", + "pblh_diffs_t12mean = numpy.mean(pblh_diffs_landmask[skip_time:,:,:][times_12,:,:], axis=0)\n", + "pblh_diffs_t15mean = numpy.mean(pblh_diffs_landmask[skip_time:,:,:][times_15,:,:], axis=0)\n", + "pblh_diffs_t18mean = numpy.mean(pblh_diffs_landmask[skip_time:,:,:][times_18,:,:], axis=0)\n", + "pblh_diffs_t21mean = numpy.mean(pblh_diffs_landmask[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "pblh_diffs_2d_array = numpy.array([pblh_diffs_t06mean, pblh_diffs_t09mean, pblh_diffs_t12mean, pblh_diffs_t15mean, pblh_diffs_t18mean, pblh_diffs_t21mean, pblh_diffs_t00mean, pblh_diffs_t03mean])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:25:03.302252Z", + "start_time": "2018-06-14T06:25:03.244106Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "pblh_400_t00mean = numpy.mean(pblh_400_landmask[skip_time:,:,:][times_00,:,:], axis=0)\n", + "pblh_400_t03mean = numpy.mean(pblh_400_landmask[skip_time:,:,:][times_03,:,:], axis=0)\n", + "pblh_400_t06mean = numpy.mean(pblh_400_landmask[skip_time:,:,:][times_06,:,:], axis=0)\n", + "pblh_400_t09mean = numpy.mean(pblh_400_landmask[skip_time:,:,:][times_09,:,:], axis=0)\n", + "pblh_400_t12mean = numpy.mean(pblh_400_landmask[skip_time:,:,:][times_12,:,:], axis=0)\n", + "pblh_400_t15mean = numpy.mean(pblh_400_landmask[skip_time:,:,:][times_15,:,:], axis=0)\n", + "pblh_400_t18mean = numpy.mean(pblh_400_landmask[skip_time:,:,:][times_18,:,:], axis=0)\n", + "pblh_400_t21mean = numpy.mean(pblh_400_landmask[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "pblh_400_2d_array = numpy.array([pblh_400_t06mean, pblh_400_t09mean, pblh_400_t12mean, pblh_400_t15mean, pblh_400_t18mean, pblh_400_t21mean, pblh_400_t00mean, pblh_400_t03mean])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## create grid" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:25:05.262878Z", + "start_time": "2018-06-14T06:25:05.256574Z" + } + }, + "outputs": [], + "source": [ + "xx,zz=numpy.meshgrid(xlong[0,:],geopot_400_lat_mean[0,:,:].mean(axis=1)/10000.)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "plot qvapor and wind climatologies" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:25:07.225765Z", + "start_time": "2018-06-14T06:25:07.209668Z" + } + }, + "outputs": [], + "source": [ + "# make color map\n", + "minval=0. # for inferno: 0.18\n", + "maxval=0.95 # for inferno: 1.0\n", + "n=256\n", + "full_cmap = mp.get_cmap('YlGnBu')\n", + "cmap_partial = matplotlib.colors.LinearSegmentedColormap.from_list(\\\n", + " 'trunc({n},{a:.2f},{b:.2f})'.format(n=full_cmap.name, a=minval, b=maxval),\\\n", + " full_cmap(numpy.linspace(minval, maxval, n)))" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-01T02:26:47.304640Z", + "start_time": "2018-06-01T02:26:13.941617Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "#nrows=4;ncols=2\n", + "#fig,axes = mp.subplots(nrows=nrows,ncols=ncols,subplot_kw={'projection': cartopy.crs.PlateCarree()})\n", + "#fig.set_size_inches(3.25,4)\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(5,17.51,2.5)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "z_indices=[1,3,5,7,8,9,10,11,12,13,14,15,16]\n", + "every_nth_lon=15\n", + "every_nth_z=1\n", + "quiver_scale = 1.5 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 5\n", + "quiver_color = 'orangered'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,geopot_400_lat_mean[0,:,:]/(g*1000.),qvapor_400_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=cmap_partial,extend='both')\n", + " \n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7)\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_400_array[t][z_indices,::every_nth_lon],\\\n", + " wa_400_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,\\\n", + " c='darkturquoise', \\\n", + " label='PBLH cont.', \\\n", + " zorder=3, lw=2)\n", + " \n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax_list.append(ax)\n", + " ax.set_facecolor('0.25')\n", + "\n", + "fig.tight_layout()\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar_axes.text(s='g kg$^{\\,-1}$', x=0.5, y=1.00666, transform=cbar_axes.transAxes, fontsize=fontsize, ha='center', va='bottom')\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-0.8,0.81,0.2))\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0., handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figure3supp_qvapor_400_cross_sections.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## plot qvapor" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T20:10:54.170377Z", + "start_time": "2018-06-14T20:10:45.494868Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.6,0.61,0.1)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qvapor_diffs_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=25),\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figure3_qvapor_pblh_cross_sections.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 182, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T02:52:21.442472Z", + "start_time": "2018-06-16T02:52:13.490147Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " mse_diffs_array[t]/1000.,\\\n", + " levels=levels,\\\n", + " cmap='PuOr_r',\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('kJ kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_mse_pblh_cross_sections.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## late morning/early afternoon version" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:12:22.587363Z", + "start_time": "2018-06-16T01:12:21.376087Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "gs = matplotlib.gridspec.GridSpec(2,2,width_ratios=[1,1],height_ratios=[1,1])\n", + "\n", + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(7.5,5))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.5,0.51,0.1)#75,.751,0.125)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "ax_list = []\n", + "\n", + "cmap_choice = seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=20)\n", + "##################################################\n", + "\n", + "t=3\n", + "ax = fig.add_subplot(gs[0])#, projection=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qvapor_diffs_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=cmap_choice,\\\n", + " extend='both')\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + "if t==4:\n", + " quiver_plot_for_key = quiver_plot\n", + "ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,3.25)\n", + "ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + "ax.set_yticks([0,1,2,3])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_ylabel('km', fontsize=fontsize)\n", + "ax.text(s='(a) late morning $\\Delta$moisture', x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "\n", + "##################################################\n", + "\n", + "t=4\n", + "ax = fig.add_subplot(gs[1])#, projection=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qvapor_diffs_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=cmap_choice,\\\n", + " extend='both')\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + "if t==4:\n", + " quiver_plot_for_key = quiver_plot\n", + "ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,3.25)\n", + "ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + "ax.set_yticks([0,1,2,3])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.text(s='(b) early afternoon $\\Delta$moisture', x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "\n", + "##################################################\n", + "\n", + "##################################################\n", + "#z_indices=[1,5,7,9,11,13,15,17,19,21,23]\n", + "cmap_choice = 'PuOr_r'\n", + "levels=numpy.arange(-1,1.1,0.2)\n", + "\n", + "t=3\n", + "ax = fig.add_subplot(gs[2])\n", + "contour_plot3 = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " tk_diffs_array[t],\\\n", + " levels=levels,\\\n", + " cmap=cmap_choice,\\\n", + " extend='both')\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + "ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,3.25)\n", + "ax.set_yticks([0,1,2,3])\n", + "ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + "ax.set_ylabel('km', fontsize=fontsize)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.text(s='(c) late morning $\\Delta$T', x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "\n", + "##################################################\n", + "\n", + "t=4\n", + "ax = fig.add_subplot(gs[3])#, projection=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " tk_diffs_array[t],\\\n", + " levels=levels,\\\n", + " cmap=cmap_choice,\\\n", + " extend='both')\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + "ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,3.25)\n", + "ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + "ax.set_yticks([0,1,2,3])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.text(s='(d) early afternoon $\\Delta$T', x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "\n", + "##################################################\n", + "\n", + "\n", + "fig.tight_layout()#w_pad=0, h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[-1].get_position()\n", + "cbar_axes1 = fig.add_axes([top_pos.x1+0.03, top_pos.y0, 0.025, top_pos.height])\n", + "cbar = mp.colorbar(contour_plot1, orientation='vertical', cax=cbar_axes1)\n", + "cbar_axes1.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[-1].get_position()\n", + "cbar_axes2 = fig.add_axes([bottom_pos.x1+0.03, bottom_pos.y0, 0.025, bottom_pos.height])\n", + "cbar = mp.colorbar(contour_plot4, orientation='vertical', cax=cbar_axes2)\n", + "cbar_axes2.tick_params(labelsize=fontsize)\n", + "cbar.set_label('$\\degree$C', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "#ax_list[0].yaxis.set_label_coords(-0.1,0.5)\n", + "#ax_list[2].yaxis.set_label_coords(-0.1,0.5)\n", + "\n", + "#seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=25)\n", + "#fig.savefig('manuscript_figure3_qvapor_pblh_cross_sections.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-15T01:19:53.827135Z", + "start_time": "2018-06-15T01:19:45.133282Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.3,0.31,0.05)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,5]+[i for i in range(7,29,2)]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qvapor_diffs_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=1),\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,20)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " #ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figure3_qvapor_pblh_cross_sections_upto20km.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# qrain differences" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:40:23.816931Z", + "start_time": "2018-06-16T01:40:16.754814Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.001,0.0011,0.0002)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qrain_diffs_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=25),\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_qrain_pblh_cross_sections.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 150, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:43:11.289102Z", + "start_time": "2018-06-16T01:43:04.616859Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.001,0.0011,0.0002)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,5]+[i for i in range(7,29,2)]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qrain_diffs_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=25),\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,16)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_yticks([0,5,10,15])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_qrain_pblh_cross_sections_upto16km.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# qcloud differences" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-01T02:28:32.282260Z", + "start_time": "2018-06-01T02:27:56.307319Z" + } + }, + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.05,0.051,0.01)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qcloud_diffs_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=15),\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_qcloud_pblh_cross_sections.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# cldfra differences" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-07T17:45:33.530435Z", + "start_time": "2018-06-07T17:44:56.133019Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-7,7.1,1)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " cldfra_diffs_array[t]*100.,\\\n", + " levels=levels,\\\n", + " cmap=cmocean.cm.balance_r,\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('%', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figure4_cldfra_pblh_cross_sections.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## cldfra morning and afternoon" + ] + }, + { + "cell_type": "code", + "execution_count": 170, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T02:14:58.087596Z", + "start_time": "2018-06-16T02:14:56.428882Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "gs = matplotlib.gridspec.GridSpec(3,2,width_ratios=[1,1],height_ratios=[1,1.5,1])\n", + "\n", + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(7.5,6.5))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-7.,7.1,1)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "ax_list = []\n", + "\n", + "cmap_choice = cmocean.cm.balance_r\n", + "##################################################\n", + "\n", + "t=3\n", + "ax = fig.add_subplot(gs[0])#, projection=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " cldfra_diffs_array[t]*100.,\\\n", + " levels=levels,\\\n", + " cmap=cmap_choice,\\\n", + " extend='both')\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + "if t==4:\n", + " quiver_plot_for_key = quiver_plot\n", + "ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,4)\n", + "ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + "ax.set_yticks([0,1,2,3,4])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_ylabel('km', fontsize=fontsize)\n", + "ax.text(s='(a) late morning', x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "\n", + "##################################################\n", + "\n", + "t=4\n", + "ax = fig.add_subplot(gs[1])#, projection=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " cldfra_diffs_array[t]*100.,\\\n", + " levels=levels,\\\n", + " cmap=cmap_choice,\\\n", + " extend='both')\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + "if t==4:\n", + " quiver_plot_for_key = quiver_plot\n", + "ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,4)\n", + "ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + "ax.set_yticks([0,1,2,3,4])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.text(s='(b) early afternoon', x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "\n", + "##################################################\n", + "\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "##################################################\n", + "z_indices=[1,5,7,9,11,13,15,17,19,21,23,25,27]\n", + "\n", + "t=3\n", + "ax = fig.add_subplot(gs[2])\n", + "contour_plot1 = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " cldfra_diffs_array[t]*100.,\\\n", + " levels=levels,\\\n", + " cmap=cmap_choice,\\\n", + " extend='both')\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + "ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,16)\n", + "ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + "ax.set_ylabel('km', fontsize=fontsize)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.text(s='(c) late morning', x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "\n", + "##################################################\n", + "\n", + "t=4\n", + "ax = fig.add_subplot(gs[3])#, projection=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " cldfra_diffs_array[t]*100.,\\\n", + " levels=levels,\\\n", + " cmap=cmap_choice,\\\n", + " extend='both')\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + "ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,16)\n", + "ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + "#ax.set_yticks([0,1,2,3])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.text(s='(d) early afternoon', x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "\n", + "##################################################\n", + "\n", + "##################################################\n", + "\n", + "levels = numpy.arange(-0.001,0.0011,0.0002)\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "cmap_choice = cmocean.cm.curl_r\n", + "##################################################\n", + "\n", + "t=3\n", + "ax = fig.add_subplot(gs[4])#, projection=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qrain_diffs_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=cmap_choice,\\\n", + " extend='both')\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + "ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,4)\n", + "ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + "ax.set_yticks([0,1,2,3,4])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_ylabel('km', fontsize=fontsize)\n", + "ax.text(s='(e) late morning', x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "\n", + "##################################################\n", + "\n", + "t=4\n", + "ax = fig.add_subplot(gs[5])#, projection=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qrain_diffs_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=cmap_choice,\\\n", + " extend='both')\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + "ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,4)\n", + "ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + "ax.set_yticks([0,1,2,3,4])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.text(s='(f) early afternoon', x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "fig.tight_layout(h_pad=2)#h_pad=2)#w_pad=0, h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[3].get_position()\n", + "cbar1_axes = fig.add_axes([bottom_pos.x1+0.04, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar1 = mp.colorbar(contour_plot1, orientation='vertical', cax=cbar1_axes)\n", + "cbar1_axes.tick_params(labelsize=fontsize)\n", + "cbar1.set_label('%', fontsize=fontsize)\n", + "\n", + "qrain_pos = ax_list[-1].get_position()\n", + "cbar2_axes = fig.add_axes([qrain_pos.x1+0.04, qrain_pos.y0, 0.03, qrain_pos.height])\n", + "cbar2 = mp.colorbar(contour_plot2, orientation='vertical', cax=cbar2_axes)\n", + "cbar2_axes.tick_params(labelsize=fontsize)\n", + "cbar2.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "ax_list[0].yaxis.set_label_coords(-0.1,0.5)\n", + "ax_list[2].yaxis.set_label_coords(-0.1,0.5)\n", + "ax_list[4].yaxis.set_label_coords(-0.1,0.5)\n", + "\n", + "#seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=25)\n", + "#fig.savefig('manuscript_figure3_qvapor_pblh_cross_sections.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# up to 10 km" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-01T02:45:03.361149Z", + "start_time": "2018-06-01T02:44:27.638315Z" + } + }, + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.05,0.051,0.01)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,5]+[i for i in range(7,29,2)]\n", + "quiver_scale = .2 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qcloud_diffs_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=10),\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,20)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " #ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_qcloud_pblh_cross_sections_upto10km.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# cldfra up to 20km" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-08T01:24:30.853610Z", + "start_time": "2018-06-08T01:23:50.972935Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-7,7.1,1)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,5]+[i for i in range(7,29,2)]\n", + "quiver_scale = .2 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " cldfra_diffs_array[t]*100.,\\\n", + " levels=levels,\\\n", + " cmap=cmocean.cm.balance_r,\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,20)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " #ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('%', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_cldfra_pblh_cross_sections_upto10km.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-31T04:01:33.183735Z", + "start_time": "2018-05-31T04:01:26.798907Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(0,51,5)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=15\n", + "every_nth_z=1\n", + "z_indices=[1,5]+[i for i in range(7,29,2)]\n", + "quiver_scale = 1.5 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 5\n", + "quiver_color = 'orangered'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " cldfra_400_array[t]*100.,\\\n", + " levels=levels,\\\n", + " cmap='Blues_r',\n", + " extend='max')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_400_array[t][z_indices,::every_nth_lon],\\\n", + " wa_400_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,20)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " #ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('%', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_cldfra_CLIMATOLOGY_pblh_cross_sections_upto10km.png', dpi=600, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# first day" + ] + }, + { + "cell_type": "code", + "execution_count": 152, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:45:05.035472Z", + "start_time": "2018-06-16T01:45:05.027444Z" + } + }, + "outputs": [], + "source": [ + "times_to_plot = [12,13,14,15,16,17,18,19]\n", + "times_to_plot_local = [8,9,10,11,12,13,14,15]" + ] + }, + { + "cell_type": "code", + "execution_count": 186, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T22:17:38.220474Z", + "start_time": "2018-06-16T22:17:31.307374Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.6,0.61,0.1)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25\n", + "quiver_shaft_width = .25\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*13\n", + "quiver_head_length = quiver_shaft_width*13\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t_idx in range(times_to_plot.__len__()):\n", + " t = times_to_plot[t_idx]\n", + " ax = fig.add_subplot(nrows,ncols,t_idx+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qvapor_diffs_lat_mean[t,:,:]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=25),\\\n", + " extend='both')\n", + "\n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_lat_mean[t,z_indices,::every_nth_lon],\\\n", + " wa_diffs_lat_mean[t,z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " \n", + " if t_idx==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_lat_mean[t,:]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_lat_mean[t,:]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " #ax.set_ylim(1013.25,700)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " #ax.set_yticks([1000,900,800,700])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t_idx in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t_idx]+') day 1, hour '+'{:02d}'.format(times_to_plot_local[t_idx]), \\\n", + " x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figure7_qvapor_pblh_cross_sections_DAY1.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 185, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T22:17:19.241506Z", + "start_time": "2018-06-16T22:17:12.282183Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25\n", + "quiver_shaft_width = .25\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*13\n", + "quiver_head_length = quiver_shaft_width*13\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t_idx in range(times_to_plot.__len__()):\n", + " t = times_to_plot[t_idx]\n", + " ax = fig.add_subplot(nrows,ncols,t_idx+1)\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " mse_diffs_lat_mean[t,:,:]/1000.,\\\n", + " levels=levels,\\\n", + " cmap='PuOr_r',\\\n", + " extend='both')\n", + "\n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_lat_mean[t,z_indices,::every_nth_lon],\\\n", + " wa_diffs_lat_mean[t,z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " \n", + " if t_idx==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_lat_mean[t,:]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_lat_mean[t,:]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t_idx in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t_idx]+') day 1, hour '+'{:02d}'.format(times_to_plot_local[t_idx]), \\\n", + " x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('kJ kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_mse_pblh_cross_sections_DAY1.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# qvapor 20km" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-07T18:23:09.740760Z", + "start_time": "2018-06-07T18:22:31.316855Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.3,0.31,0.05)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,5]+[i for i in range(7,29,3)]\n", + "quiver_scale = 0.05\n", + "quiver_shaft_width = .25\n", + "quiver_key_scale = 0.25\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*13\n", + "quiver_head_length = quiver_shaft_width*13\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t_idx in range(times_to_plot.__len__()):\n", + " t = times_to_plot[t_idx]\n", + " ax = fig.add_subplot(nrows,ncols,t_idx+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qvapor_diffs_lat_mean[t,:,:]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=25),\\\n", + " extend='both')\n", + "\n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_lat_mean[t,z_indices,::every_nth_lon],\\\n", + " wa_diffs_lat_mean[t,z_indices,::every_nth_lon]*10.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " \n", + " if t_idx==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_lat_mean[t,:]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_lat_mean[t,:]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " #ax.set_ylim(1013.25,700)\n", + " ax.set_ylim(0,20)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " #ax.set_yticks([1000,900,800,700])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('hPa', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t_idx]+') day 1, hour '+'{:02d}'.format(times_to_plot_local[t_idx]), \\\n", + " x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figure5_qvapor_pblh_cross_sections_DAY1_upto20km.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# qrain" + ] + }, + { + "cell_type": "code", + "execution_count": 154, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:45:53.834977Z", + "start_time": "2018-06-16T01:45:46.361620Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.001,0.0011,0.0002)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25\n", + "quiver_shaft_width = .25\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*13\n", + "quiver_head_length = quiver_shaft_width*13\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t_idx in range(times_to_plot.__len__()):\n", + " t = times_to_plot[t_idx]\n", + " ax = fig.add_subplot(nrows,ncols,t_idx+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qrain_diffs_lat_mean[t,:,:]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=25),\\\n", + " extend='both')\n", + "\n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_lat_mean[t,z_indices,::every_nth_lon],\\\n", + " wa_diffs_lat_mean[t,z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " \n", + " if t_idx==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_lat_mean[t,:]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_lat_mean[t,:]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " #ax.set_ylim(1013.25,700)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " #ax.set_yticks([1000,900,800,700])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('hPa', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t_idx]+') day 1, hour '+'{:02d}'.format(times_to_plot_local[t_idx]), \\\n", + " x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_qrain_pblh_cross_sections_DAY1.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# qcloud" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-07T17:47:56.454149Z", + "start_time": "2018-06-07T17:47:18.668139Z" + } + }, + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.05,0.051,0.01)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25\n", + "quiver_shaft_width = .25\n", + "quiver_key_scale = 0.5\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*13\n", + "quiver_head_length = quiver_shaft_width*13\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t_idx in range(times_to_plot.__len__()):\n", + " t = times_to_plot[t_idx]\n", + " ax = fig.add_subplot(nrows,ncols,t_idx+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/10000.,\\\n", + " qcloud_diffs_lat_mean[t,:,:]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=cmocean.cm.balance,\\\n", + " extend='both')\n", + "\n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/10000.,\\\n", + " ua_diffs_lat_mean[t,z_indices,::every_nth_lon],\\\n", + " wa_diffs_lat_mean[t,z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " \n", + " if t_idx==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_lat_mean[t,:]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_lat_mean[t,:]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " #ax.set_ylim(1013.25,700)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " #ax.set_yticks([1000,900,800,700])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('hPa', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t_idx]+') day 1, hour '+'{:02d}'.format(times_to_plot_local[t_idx]), \\\n", + " x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_qcloud_pblh_cross_sections_DAY1.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# cldfra" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-08T02:54:43.993545Z", + "start_time": "2018-06-08T02:54:07.624986Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-7,7.1,1)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25\n", + "quiver_shaft_width = .25\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*13\n", + "quiver_head_length = quiver_shaft_width*13\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t_idx in range(times_to_plot.__len__()):\n", + " t = times_to_plot[t_idx]\n", + " ax = fig.add_subplot(nrows,ncols,t_idx+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/10000.,\\\n", + " cldfra_diffs_lat_mean[t,:,:]*100.,\\\n", + " levels=levels,\\\n", + " cmap=cmocean.cm.balance_r,\\\n", + " extend='both')\n", + "\n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_lat_mean[t,z_indices,::every_nth_lon],\\\n", + " wa_diffs_lat_mean[t,z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " \n", + " if t_idx==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_lat_mean[t,:]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_lat_mean[t,:]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " #ax.set_ylim(1013.25,700)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " #ax.set_yticks([1000,900,800,700])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('hPa', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t_idx]+') day 1, hour '+'{:02d}'.format(times_to_plot_local[t_idx]), \\\n", + " x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('%', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_cldfra_pblh_cross_sections_DAY1.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-08T01:20:53.570413Z", + "start_time": "2018-06-08T01:20:16.441430Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,5]+[i for i in range(7,29,3)]\n", + "quiver_scale = .05\n", + "quiver_shaft_width = .25\n", + "quiver_key_scale = 0.5\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*13\n", + "quiver_head_length = quiver_shaft_width*13\n", + "\n", + "for t_idx in range(times_to_plot.__len__()):\n", + " t = times_to_plot[t_idx]\n", + " ax = fig.add_subplot(nrows,ncols,t_idx+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " cldfra_diffs_lat_mean[t,:,:]*100.,\\\n", + " levels=levels,\\\n", + " cmap=cmocean.cm.balance_r,\\\n", + " extend='both')\n", + "\n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_lat_mean[t,z_indices,::every_nth_lon],\\\n", + " wa_diffs_lat_mean[t,z_indices,::every_nth_lon]*10.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " \n", + " if t_idx==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_lat_mean[t,:]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_lat_mean[t,:]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " #ax.set_ylim(1013.25,700)\n", + " ax.set_ylim(0,20)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('hPa', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t_idx]+') day 1, hour '+'{:02d}'.format(times_to_plot_local[t_idx]), \\\n", + " x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('%', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_cldfra_pblh_cross_sections_DAY1_upto20km.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# cldfra on day 1" + ] + }, + { + "cell_type": "code", + "execution_count": 188, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-18T21:04:24.547138Z", + "start_time": "2018-06-18T21:04:17.255426Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(0,51,5)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,5]+[i for i in range(7,29,3)]\n", + "quiver_scale = .05\n", + "quiver_shaft_width = .25\n", + "quiver_key_scale = 0.5\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*13\n", + "quiver_head_length = quiver_shaft_width*13\n", + "\n", + "for t_idx in range(times_to_plot.__len__()):\n", + " t = times_to_plot[t_idx]\n", + " ax = fig.add_subplot(nrows,ncols,t_idx+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " cldfra_400_lat_mean[t,:,:]*100.,\\\n", + " levels=levels,\\\n", + " cmap='Blues_r',\\\n", + " extend='max')\n", + "\n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_lat_mean[t,z_indices,::every_nth_lon],\\\n", + " wa_diffs_lat_mean[t,z_indices,::every_nth_lon]*10.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " \n", + " if t_idx==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_lat_mean[t,:]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_lat_mean[t,:]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " #ax.set_ylim(1013.25,700)\n", + " ax.set_ylim(0,20)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('hPa', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t_idx]+') day 1, hour '+'{:02d}'.format(times_to_plot_local[t_idx]), \\\n", + " x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('%', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_cldfra_pblh_cross_sections_CONTROL_DAY1_upto20km.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + 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+ "seaborn.choose_diverging_palette()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# temperature plot" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-07T17:50:17.577528Z", + "start_time": "2018-06-07T17:49:41.457387Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-1.,1.1,0.2)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " tk_diffs_array[t],\\\n", + " levels=levels,\\\n", + " cmap='PuOr_r',\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='dodgerblue', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='darkturquoise',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout()\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label(DEGREE_SIGN+'$\\,$C', fontsize=fontsize)\n", + "cbar.set_ticks(levels)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figure3supp_tk_pblh_cross_sections.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-07T19:25:43.577915Z", + "start_time": "2018-06-07T19:25:08.400847Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-1.,1.1,0.2)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*13\n", + "quiver_head_length = quiver_shaft_width*13\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t_idx in range(times_to_plot.__len__()):\n", + " t = times_to_plot[t_idx]\n", + " ax = fig.add_subplot(nrows,ncols,t_idx+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " tk_diffs_lat_mean[t,:,:],\\\n", + " levels=levels,\\\n", + " cmap='PuOr_r',\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_lat_mean[t,:,:][z_indices,::every_nth_lon],\\\n", + " wa_diffs_lat_mean[t,:,:][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_lat_mean[t,:]/1000.,c='dodgerblue', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_lat_mean[t,:]/1000.,c='darkturquoise',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t_idx]+') day 1, hour '+'{:02d}'.format(times_to_plot_local[t_idx]), \\\n", + " x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout()\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label(DEGREE_SIGN+'$\\,$C', fontsize=fontsize)\n", + "cbar.set_ticks(levels)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=.99, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figure3supp_tk_pblh_cross_sections_DAY1.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/.ipynb_checkpoints/gp1_arm_site_data-checkpoint.ipynb b/.ipynb_checkpoints/gp1_arm_site_data-checkpoint.ipynb new file mode 100644 index 0000000..4e2467e --- /dev/null +++ b/.ipynb_checkpoints/gp1_arm_site_data-checkpoint.ipynb @@ -0,0 +1,244 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 122, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T06:43:27.559694Z", + "start_time": "2018-08-17T06:43:27.555107Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "\n", + "import glob\n", + "import xarray\n", + "import matplotlib.pyplot as mp\n", + "import matplotlib.cm as mcm\n", + "import datetime\n", + "\n", + "import cmocean\n", + "import netCDF4" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T06:11:29.310677Z", + "start_time": "2018-08-17T06:11:29.172210Z" + } + }, + "outputs": [], + "source": [ + "file_list = numpy.array(sorted(glob.glob('/beegfs/DATA/pritchard/blangenb/ARM_DATA/*c1*.cdf')))" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T06:15:19.332405Z", + "start_time": "2018-08-17T06:15:19.211485Z" + } + }, + "outputs": [], + "source": [ + "file_datetimes_strings = [i.split('/')[-1].split('.')[2:4] for i in file_list]\n", + "\n", + "file_datetimes = numpy.array([datetime.datetime.strptime(i[0]+i[1], '%Y%m%d%H%M%S') for i in file_datetimes_strings])\n", + "file_datetimes_local = file_datetimes-datetime.timedelta(hours=4)\n", + "\n", + "fmaaso_indices = numpy.array([i.month in [2,3,4,8,9,10] for i in file_datetimes_local])\n", + "file_list_fmaaso = file_list[fmaaso_indices]\n", + "file_datetimes_local_fmaaso = file_datetimes_local[fmaaso_indices]" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T06:15:38.664382Z", + "start_time": "2018-08-17T06:15:38.651804Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 1, 2, 7, 8, 10, 11, 13, 14, 19, 20])" + ] + }, + "execution_count": 84, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "unique_hours = numpy.unique([t.hour for t in file_datetimes_local_fmaaso])\n", + "numpy.unique([t.hour for t in file_datetimes_local_fmaaso])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "group by unique hours above, take means, then plot PBL heights" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T06:25:26.564692Z", + "start_time": "2018-08-17T06:23:17.723903Z" + } + }, + "outputs": [], + "source": [ + "pbl_height_h_array_list = []\n", + "pbl_height_ll_array_list = []\n", + "pbl_height_br50_array_list = []\n", + "pbl_height_br25_array_list = []\n", + "\n", + "for h in range(unique_hours.__len__()):\n", + " specific_hour = unique_hours[h]\n", + " time_indices = numpy.array([t.hour==specific_hour for t in file_datetimes_local_fmaaso])\n", + " pblh_array_h = numpy.zeros(numpy.sum(time_indices))\n", + " pblh_array_ll = numpy.zeros(numpy.sum(time_indices))\n", + " pblh_array_br50 = numpy.zeros(numpy.sum(time_indices))\n", + " pblh_array_br25 = numpy.zeros(numpy.sum(time_indices))\n", + " \n", + " files_to_open = file_list_fmaaso[time_indices]\n", + " \n", + " for i in range(files_to_open.__len__()):\n", + " ds = xarray.open_dataset(files_to_open[i])\n", + " pblh_array_h[i] = ds['pbl_height_heffter'].values\n", + " pblh_array_ll[i] = ds['pbl_height_liu_liang'].values\n", + " pblh_array_br50[i] = ds['pbl_height_bulk_richardson_pt5'].values\n", + " pblh_array_br25[i] = ds['pbl_height_bulk_richardson_pt25'].values\n", + " ds.close()\n", + " pbl_height_h_array_list.append(pblh_array_h)\n", + " pbl_height_ll_array_list.append(pblh_array_ll)\n", + " pbl_height_br25_array_list.append(pblh_array_br25)\n", + " pbl_height_br50_array_list.append(pblh_array_br50)" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T06:41:26.048495Z", + "start_time": "2018-08-17T06:41:26.031539Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", + " This is separate from the ipykernel package so we can avoid doing imports until\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", + " after removing the cwd from sys.path.\n" + ] + } + ], + "source": [ + "pblh_h_means = numpy.array([numpy.nanmean(height_vals) for height_vals in pbl_height_h_array_list])\n", + "pblh_ll_means = numpy.array([numpy.nanmean(height_vals) for height_vals in pbl_height_ll_array_list])\n", + "pblh_br25_means = numpy.array([numpy.nanmean(height_vals) for height_vals in pbl_height_br25_array_list])\n", + "pblh_br50_means = numpy.array([numpy.nanmean(height_vals) for height_vals in pbl_height_br50_array_list])" + ] + }, + { + "cell_type": "code", + "execution_count": 153, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T06:59:11.624796Z", + "start_time": "2018-08-17T06:59:11.423370Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0,1.02,'PBLH at Brazil ARM site (2014-2016)')" + ] + }, + "execution_count": 153, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.5,4))\n", + "\n", + "ax = fig.add_subplot(111)\n", + "ax.plot(unique_hours+0.5, pblh_h_means/1000., label='h', c=mcm.magma(0.2))\n", + "ax.plot(unique_hours+0.5, pblh_ll_means/1000., label='Liu and Liang', c=mcm.magma(0.3))\n", + "ax.plot(unique_hours+0.5, pblh_br25_means/1000., label='Bulk Ri 0.25', c=mcm.magma(0.5))\n", + "ax.plot(unique_hours+0.5, pblh_br50_means/1000., label='Bulk Ri 0.5', c=mcm.magma(0.7))\n", + "\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlim(6,18)\n", + "ax.set_xticks([i for i in range(6,19,2)])\n", + "ax.set_ylim(0,3)\n", + "ax.set_yticks([i for i in numpy.arange(0,3.1,0.5)])\n", + "ax.set_xlabel('hour of day', fontsize=fontsize)\n", + "ax.set_ylabel('km', fontsize=fontsize)\n", + "\n", + "ax.text(s='PBLH at Brazil ARM site (2014-2016)', x=0, y=1.02,\\\n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/.ipynb_checkpoints/gp1_calculations_for_SENSITIVITY_RUNS-Copy2-checkpoint.ipynb b/.ipynb_checkpoints/gp1_calculations_for_SENSITIVITY_RUNS-Copy2-checkpoint.ipynb new file mode 100644 index 0000000..c2dab1b --- /dev/null +++ b/.ipynb_checkpoints/gp1_calculations_for_SENSITIVITY_RUNS-Copy2-checkpoint.ipynb @@ -0,0 +1,5760 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import libraries" + ] + }, + { + "cell_type": "code", + "execution_count": 403, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:41:20.032324Z", + "start_time": "2018-08-10T17:41:20.001458Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import matplotlib.colors\n", + "import scipy.stats\n", + "import itertools\n", + "import string\n", + "import matplotlib.patches\n", + "import glob\n", + "import matplotlib.gridspec\n", + "import scipy.ndimage\n", + "\n", + "import wrf\n", + "import netCDF4\n", + "import cmocean\n", + "\n", + "import pandas\n", + "\n", + "import matplotlib.ticker\n", + "import cartopy.mpl.gridliner #import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n", + "\n", + "import mpl_toolkits\n", + "import cartopy\n", + "import cartopy.io.shapereader\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 404, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:41:26.549976Z", + "start_time": "2018-08-10T17:41:26.541988Z" + } + }, + "outputs": [], + "source": [ + "run_info = 'FMAASO'\n", + "skip_time=0" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# opening mean fields" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## control data" + ] + }, + { + "cell_type": "code", + "execution_count": 405, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:41:31.001622Z", + "start_time": "2018-08-10T17:41:30.777382Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "001 001_with_extras 001_with_xkzs 001_with_xkzs_and_fxpbls\r\n" + ] + } + ], + "source": [ + "!ls /beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/" + ] + }, + { + "cell_type": "code", + "execution_count": 406, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:41:31.273643Z", + "start_time": "2018-08-10T17:41:31.183598Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_with_extras'\n", + "file_list = sorted(glob.glob(root_dir+'/'+'wrfout*'))\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 407, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:44:46.476516Z", + "start_time": "2018-08-10T17:41:31.338039Z" + } + }, + "outputs": [], + "source": [ + "ptot_400 = wrf.getvar(ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_ptot_400_sensitivity.npy', ptot_400)\n", + "\n", + "geopot_400 = wrf.getvar(ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_geopot_400_sensitivity.npy', geopot_400)\n", + "\n", + "tk_400 = wrf.getvar(ds_list, 'tk', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_tk_400_sensitivity.npy', tk_400)\n", + "\n", + "ua_400 = wrf.getvar(ds_list, 'ua', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_ua_400_sensitivity.npy', ua_400)\n", + "\n", + "va_400 = wrf.getvar(ds_list, 'va', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_va_400_sensitivity.npy', va_400)" + ] + }, + { + "cell_type": "code", + "execution_count": 408, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:44:47.528116Z", + "start_time": "2018-08-10T17:44:46.484741Z" + } + }, + "outputs": [], + "source": [ + "ptot_400 = numpy.load('DATA_ptot_400_sensitivity.npy')\n", + "geopot_400 = numpy.load('DATA_geopot_400_sensitivity.npy')\n", + "tk_400 = numpy.load('DATA_tk_400_sensitivity.npy')\n", + "ua_400 = numpy.load('DATA_ua_400_sensitivity.npy')\n", + "va_400 = numpy.load('DATA_va_400_sensitivity.npy')" + ] + }, + { + "cell_type": "code", + "execution_count": 409, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:44:48.949641Z", + "start_time": "2018-08-10T17:44:47.536291Z" + } + }, + "outputs": [], + "source": [ + "cont_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 410, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:44:50.519055Z", + "start_time": "2018-08-10T17:44:48.957919Z" + } + }, + "outputs": [], + "source": [ + "time = cont_mfds['Times'].values\n", + "xlat = cont_mfds['XLAT'].values[0,:,:]\n", + "xlong = cont_mfds['XLONG'].values[0,:,:]\n", + "landmask = cont_mfds['LANDMASK'].values[0,:,:]\n", + "landmask_midpoints = landmask[1:,1:]" + ] + }, + { + "cell_type": "code", + "execution_count": 411, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:52:44.471897Z", + "start_time": "2018-08-10T17:51:53.159322Z" + } + }, + "outputs": [], + "source": [ + "qvapor_400 = cont_mfds['QVAPOR'].values\n", + "u_400 = cont_mfds['U'].values\n", + "v_400 = cont_mfds['V'].values\n", + "w_400 = cont_mfds['W'].values\n", + "t_400 = cont_mfds['T'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 412, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:52:46.212015Z", + "start_time": "2018-08-10T17:52:44.480185Z" + } + }, + "outputs": [], + "source": [ + "pblh_400 = cont_mfds['PBLH'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 413, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:52:46.227591Z", + "start_time": "2018-08-10T17:52:46.220159Z" + } + }, + "outputs": [], + "source": [ + "rainc_400 = cont_mfds['RAINC']\n", + "rainnc_400 = cont_mfds['RAINNC']" + ] + }, + { + "cell_type": "code", + "execution_count": 414, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:55:09.950905Z", + "start_time": "2018-08-10T17:52:46.235839Z" + } + }, + "outputs": [], + "source": [ + "rqvcuten_400 = cont_mfds['RQVCUTEN'].values\n", + "rucuten_400 = cont_mfds['RUCUTEN'].values\n", + "rvcuten_400 = cont_mfds['RVCUTEN'].values\n", + "rthcuten_400 = cont_mfds['RTHCUTEN'].values\n", + "\n", + "rqvblten_400 = cont_mfds['RQVBLTEN'].values\n", + "rublten_400 = cont_mfds['RUBLTEN'].values\n", + "rvblten_400 = cont_mfds['RVBLTEN'].values\n", + "rthblten_400 = cont_mfds['RTHBLTEN'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 415, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:38.462033Z", + "start_time": "2018-08-10T17:55:09.959001Z" + } + }, + "outputs": [], + "source": [ + "xkzq3d_400 = cont_mfds['XKZQ3D'].values\n", + "xkzh3d_400 = cont_mfds['XKZH3D'].values\n", + "xkzm3d_400 = cont_mfds['XKZM3D'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 416, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:48.410388Z", + "start_time": "2018-08-10T17:56:38.470187Z" + } + }, + "outputs": [], + "source": [ + "hfxpbl2d_400 = cont_mfds['HFXPBL2D'].values\n", + "qfxpbl2d_400 = cont_mfds['QFXPBL2D'].values\n", + "ufxpbl2d_400 = cont_mfds['UFXPBL2D'].values\n", + "vfxpbl2d_400 = cont_mfds['VFXPBL2D'].values\n", + "bfxpbl2d_400 = cont_mfds['BFXPBL2D'].values\n", + "we2d_400 = cont_mfds['WE2D'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 417, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:49.957152Z", + "start_time": "2018-08-10T17:56:48.418484Z" + } + }, + "outputs": [], + "source": [ + "deltaysu_400 = cont_mfds['DELTA_YSU'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 418, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:52.276344Z", + "start_time": "2018-08-10T17:56:49.965432Z" + } + }, + "outputs": [], + "source": [ + "qfx_400 = cont_mfds['QFX'].values\n", + "hfx_400 = cont_mfds['HFX'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 419, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:54.496863Z", + "start_time": "2018-08-10T17:56:52.284638Z" + } + }, + "outputs": [], + "source": [ + "hgamq2d_400 = cont_mfds['HGAMQ2D'].values\n", + "hgamt2d_400 = cont_mfds['HGAMT2D'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 503, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:08:18.455148Z", + "start_time": "2018-08-10T18:08:09.262212Z" + } + }, + "outputs": [], + "source": [ + "ri3d_400 = cont_mfds['RI3D'].values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## phys data" + ] + }, + { + "cell_type": "code", + "execution_count": 420, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:54.541036Z", + "start_time": "2018-08-10T17:56:54.505266Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_with_extras'\n", + "file_list = sorted(glob.glob(root_dir+'/'+'wrfout*'))\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 421, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:30.424992Z", + "start_time": "2018-08-10T17:56:54.549274Z" + } + }, + "outputs": [], + "source": [ + "ptot_1000 = wrf.getvar(ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_ptot_1000_sensitivity.npy', ptot_1000)\n", + "\n", + "geopot_1000 = wrf.getvar(ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_geopot_1000_sensitivity.npy', geopot_1000)\n", + "\n", + "tk_1000 = wrf.getvar(ds_list, 'tk', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_tk_1000_sensitivity.npy', tk_1000)\n", + "\n", + "ua_1000 = wrf.getvar(ds_list, 'ua', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_ua_1000_sensitivity.npy', ua_1000)\n", + "\n", + "va_1000 = wrf.getvar(ds_list, 'va', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_va_1000_sensitivity.npy', va_1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 422, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:31.465909Z", + "start_time": "2018-08-10T17:57:30.433187Z" + } + }, + "outputs": [], + "source": [ + "ptot_1000 = numpy.load('DATA_ptot_1000_sensitivity.npy')\n", + "geopot_1000 = numpy.load('DATA_geopot_1000_sensitivity.npy')\n", + "tk_1000 = numpy.load('DATA_tk_1000_sensitivity.npy')\n", + "ua_1000 = numpy.load('DATA_ua_1000_sensitivity.npy')\n", + "va_1000 = numpy.load('DATA_va_1000_sensitivity.npy')" + ] + }, + { + "cell_type": "code", + "execution_count": 423, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:32.668736Z", + "start_time": "2018-08-10T17:57:31.474975Z" + } + }, + "outputs": [], + "source": [ + "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 424, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:42.260667Z", + "start_time": "2018-08-10T17:57:32.676901Z" + } + }, + "outputs": [], + "source": [ + "qvapor_1000 = phys_mfds['QVAPOR'].values\n", + "u_1000 = phys_mfds['U'].values\n", + "v_1000 = phys_mfds['V'].values\n", + "w_1000 = phys_mfds['W'].values\n", + "t_1000 = phys_mfds['T'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 425, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:42.386125Z", + "start_time": "2018-08-10T17:57:42.268899Z" + } + }, + "outputs": [], + "source": [ + "pblh_1000 = phys_mfds['PBLH'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 426, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:42.402413Z", + "start_time": "2018-08-10T17:57:42.394643Z" + } + }, + "outputs": [], + "source": [ + "rainc_1000 = phys_mfds['RAINC']\n", + "rainnc_1000 = phys_mfds['RAINNC']" + ] + }, + { + "cell_type": "code", + "execution_count": 427, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:59.326420Z", + "start_time": "2018-08-10T17:57:42.408462Z" + } + }, + "outputs": [], + "source": [ + "rqvcuten_1000 = phys_mfds['RQVCUTEN'].values\n", + "rucuten_1000 = phys_mfds['RUCUTEN'].values\n", + "rvcuten_1000 = phys_mfds['RVCUTEN'].values\n", + "rthcuten_1000 = phys_mfds['RTHCUTEN'].values\n", + "\n", + "rqvblten_1000 = phys_mfds['RQVBLTEN'].values\n", + "rublten_1000 = phys_mfds['RUBLTEN'].values\n", + "rvblten_1000 = phys_mfds['RVBLTEN'].values\n", + "rthblten_1000 = phys_mfds['RTHBLTEN'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 428, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:58:06.143079Z", + "start_time": "2018-08-10T17:57:59.328864Z" + } + }, + "outputs": [], + "source": [ + "xkzq3d_1000 = phys_mfds['XKZQ3D'].values\n", + "xkzh3d_1000 = phys_mfds['XKZH3D'].values\n", + "xkzm3d_1000 = phys_mfds['XKZM3D'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 429, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:58:06.706604Z", + "start_time": "2018-08-10T17:58:06.151559Z" + } + }, + "outputs": [], + "source": [ + "hfxpbl2d_1000 = phys_mfds['HFXPBL2D'].values\n", + "qfxpbl2d_1000 = phys_mfds['QFXPBL2D'].values\n", + "ufxpbl2d_1000 = phys_mfds['UFXPBL2D'].values\n", + "vfxpbl2d_1000 = phys_mfds['VFXPBL2D'].values\n", + "bfxpbl2d_1000 = phys_mfds['BFXPBL2D'].values\n", + "we2d_1000 = phys_mfds['WE2D'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 430, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:58:06.892613Z", + "start_time": "2018-08-10T17:58:06.715066Z" + } + }, + "outputs": [], + "source": [ + "deltaysu_1000 = phys_mfds['DELTA_YSU'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 431, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:58:07.040960Z", + "start_time": "2018-08-10T17:58:06.901090Z" + } + }, + "outputs": [], + "source": [ + "qfx_1000 = phys_mfds['QFX'].values\n", + "hfx_1000 = phys_mfds['HFX'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 432, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:58:07.259777Z", + "start_time": "2018-08-10T17:58:07.049417Z" + } + }, + "outputs": [], + "source": [ + "hgamq2d_1000 = phys_mfds['HGAMQ2D'].values\n", + "hgamt2d_1000 = phys_mfds['HGAMT2D'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 504, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:08:43.785659Z", + "start_time": "2018-08-10T18:08:22.432440Z" + } + }, + "outputs": [], + "source": [ + "ri3d_1000 = phys_mfds['RI3D'].values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## define dx, dy" + ] + }, + { + "cell_type": "code", + "execution_count": 433, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:01:57.574681Z", + "start_time": "2018-08-10T18:01:57.571137Z" + } + }, + "outputs": [], + "source": [ + "dx = 50000. # 50,000 m or 50 km\n", + "dy = 50000." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# constants" + ] + }, + { + "cell_type": "code", + "execution_count": 434, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:01:57.862354Z", + "start_time": "2018-08-10T18:01:57.586912Z" + } + }, + "outputs": [], + "source": [ + "L_v = 2264705.0 # J/kg\n", + "c_p = 1005.7 # J/kgK\n", + "g = 9.80665 # m/s2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## get landmask" + ] + }, + { + "cell_type": "code", + "execution_count": 435, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:01:58.046861Z", + "start_time": "2018-08-10T18:01:57.864678Z" + } + }, + "outputs": [], + "source": [ + "landmask = cont_mfds['LANDMASK'].sel(Time=0).values" + ] + }, + { + "cell_type": "code", + "execution_count": 436, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:01:58.816463Z", + "start_time": "2018-08-10T18:01:58.049236Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 436, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.contourf(landmask);mp.colorbar()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# calculate MSE" + ] + }, + { + "cell_type": "code", + "execution_count": 437, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:02.060560Z", + "start_time": "2018-08-10T18:01:58.818603Z" + } + }, + "outputs": [], + "source": [ + "mse_400 = geopot_400 + L_v*qvapor_400 + c_p*tk_400\n", + "mse_1000 = geopot_1000 + L_v*qvapor_1000 + c_p*tk_1000\n", + "\n", + "numpy.save('DATA_mse_400_sensitivity.npy', mse_400)\n", + "numpy.save('DATA_mse_1000_sensitivity.npy', mse_1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 298, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T03:28:12.919623Z", + "start_time": "2018-06-16T03:28:01.010452Z" + } + }, + "outputs": [], + "source": [ + "mse_400 = numpy.load('DATA_mse_400_sensitivity.npy')\n", + "mse_1000 = numpy.load('DATA_mse_1000_sensitivity.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "set up time/lev numbers" + ] + }, + { + "cell_type": "code", + "execution_count": 438, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:02.074461Z", + "start_time": "2018-08-10T18:02:02.068910Z" + } + }, + "outputs": [], + "source": [ + "ntime = 25\n", + "nlev = 29" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# calculate dtheta/dt for full, cu, and pbl schemes" + ] + }, + { + "cell_type": "code", + "execution_count": 439, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:02.434660Z", + "start_time": "2018-08-10T18:02:02.082606Z" + } + }, + "outputs": [], + "source": [ + "dthetadt_400 = numpy.zeros(t_400.shape)*numpy.nan\n", + "dthetadt_1000 = numpy.zeros(t_1000.shape)*numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 440, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:03.025531Z", + "start_time": "2018-08-10T18:02:02.443116Z" + } + }, + "outputs": [], + "source": [ + "for t in range(1,ntime-1):\n", + " dthetadt_400[t,:,:,:] = (t_400[t+1,:,:,:]-t_400[t-1,:,:,:])/7200.\n", + "for t in range(1,ntime-1):\n", + " dthetadt_1000[t,:,:,:] = (t_1000[t+1,:,:,:]-t_1000[t-1,:,:,:])/7200." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# dqvapor/dt for full, cu, and pbl schemes" + ] + }, + { + "cell_type": "code", + "execution_count": 441, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:03.289319Z", + "start_time": "2018-08-10T18:02:03.033875Z" + } + }, + "outputs": [], + "source": [ + "dqdt_400 = numpy.zeros(qvapor_400.shape)*numpy.nan\n", + "dqdt_1000 = numpy.zeros(qvapor_1000.shape)*numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 442, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:03.894489Z", + "start_time": "2018-08-10T18:02:03.298014Z" + } + }, + "outputs": [], + "source": [ + "for t in range(1,ntime-1):\n", + " dqdt_400[t,:,:,:] = (qvapor_400[t+1,:,:,:]-qvapor_400[t-1,:,:,:])/7200.\n", + "for t in range(1,ntime-1):\n", + " dqdt_1000[t,:,:,:] = (qvapor_1000[t+1,:,:,:]-qvapor_1000[t-1,:,:,:])/7200." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# duadt" + ] + }, + { + "cell_type": "code", + "execution_count": 443, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:04.151725Z", + "start_time": "2018-08-10T18:02:03.902941Z" + } + }, + "outputs": [], + "source": [ + "duadt_400 = numpy.zeros(ua_400.shape)*numpy.nan\n", + "duadt_1000 = numpy.zeros(ua_1000.shape)*numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 444, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:04.814072Z", + "start_time": "2018-08-10T18:02:04.160429Z" + } + }, + "outputs": [], + "source": [ + "for t in range(1,ntime-1):\n", + " duadt_400[t,:,:,:] = (ua_400[t+1,:,:,:]-ua_400[t-1,:,:,:])/7200.\n", + "for t in range(1,ntime-1):\n", + " duadt_1000[t,:,:,:] = (ua_1000[t+1,:,:,:]-ua_1000[t-1,:,:,:])/7200." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# dvadt" + ] + }, + { + "cell_type": "code", + "execution_count": 445, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:05.065669Z", + "start_time": "2018-08-10T18:02:04.822383Z" + } + }, + "outputs": [], + "source": [ + "dvadt_400 = numpy.zeros(va_400.shape)*numpy.nan\n", + "dvadt_1000 = numpy.zeros(va_1000.shape)*numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 446, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:05.710403Z", + "start_time": "2018-08-10T18:02:05.074859Z" + } + }, + "outputs": [], + "source": [ + "for t in range(1,ntime-1):\n", + " dvadt_400[t,:,:,:] = (va_400[t+1,:,:,:]-va_400[t-1,:,:,:])/7200.\n", + "for t in range(1,ntime-1):\n", + " dvadt_1000[t,:,:,:] = (va_1000[t+1,:,:,:]-va_1000[t-1,:,:,:])/7200." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# dmse/dt" + ] + }, + { + "cell_type": "code", + "execution_count": 447, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:05.967888Z", + "start_time": "2018-08-10T18:02:05.718634Z" + } + }, + "outputs": [], + "source": [ + "dmsedt_400 = numpy.zeros((ntime,nlev,xlat.shape[0],xlat.shape[1]))*numpy.nan\n", + "dmsedt_1000 = numpy.zeros((ntime,nlev,xlat.shape[0],xlat.shape[1]))*numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 448, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:06.612233Z", + "start_time": "2018-08-10T18:02:05.976569Z" + } + }, + "outputs": [], + "source": [ + "for t in range(1,ntime-1):\n", + " dmsedt_400[t,:,:,:] = (mse_400[t+1,:,:,:]-mse_400[t-1,:,:,:])/7200.\n", + "for t in range(1,ntime-1):\n", + " dmsedt_1000[t,:,:,:] = (mse_1000[t+1,:,:,:]-mse_1000[t-1,:,:,:])/7200." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "calculate lat lon stuff" + ] + }, + { + "cell_type": "code", + "execution_count": 449, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:06.627700Z", + "start_time": "2018-08-10T18:02:06.620664Z" + } + }, + "outputs": [], + "source": [ + "dry_lon_lo, dry_lon_hi, dry_lat_lo, dry_lat_hi = -60,-50,-10,10\n", + "wet_lon_lo, wet_lon_hi, wet_lat_lo, wet_lat_hi = -80,-75,-10,10\n", + "\n", + "dry_lon_lo_degE = 360+dry_lon_lo\n", + "dry_lon_hi_degE = 360+dry_lon_hi\n", + "\n", + "wet_lon_lo_degE = 360+wet_lon_lo\n", + "wet_lon_hi_degE = 360+wet_lon_hi" + ] + }, + { + "cell_type": "code", + "execution_count": 450, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:06.770195Z", + "start_time": "2018-08-10T18:02:06.635881Z" + } + }, + "outputs": [], + "source": [ + "lon_lo = dry_lon_lo\n", + "lon_hi = dry_lon_hi\n", + "lat_lo = dry_lat_lo\n", + "lat_hi = dry_lat_hi\n", + "\n", + "# lon_lo = wet_lon_lo\n", + "# lon_hi = wet_lon_hi\n", + "# lat_lo = wet_lat_lo\n", + "# lat_hi = wet_lat_hi" + ] + }, + { + "cell_type": "code", + "execution_count": 451, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:06.920096Z", + "start_time": "2018-08-10T18:02:06.778438Z" + } + }, + "outputs": [], + "source": [ + "landmask_indices = numpy.copy(landmask)\n", + "landmask_indices[landmask==1]=1\n", + "landmask_indices[landmask!=1]=0\n", + "landmask_indices = numpy.array(landmask_indices, dtype=bool)" + ] + }, + { + "cell_type": "code", + "execution_count": 452, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.025468Z", + "start_time": "2018-08-10T18:02:06.928141Z" + } + }, + "outputs": [], + "source": [ + "lon_indices = (xlong>=lon_lo)&(xlong<=lon_hi)\n", + "lat_indices = (xlat>=lat_lo)&(xlat<=lat_hi)\n", + "latlon_indices = (lon_indices)&(lat_indices)&(landmask_indices)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# take latlon means" + ] + }, + { + "cell_type": "code", + "execution_count": 453, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.168968Z", + "start_time": "2018-08-10T18:02:07.033407Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + } + ], + "source": [ + "duadt_400_latlon_mean = numpy.nanmean(duadt_400[:,:,latlon_indices], axis=2)\n", + "duadt_1000_latlon_mean = numpy.nanmean(duadt_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 454, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.294186Z", + "start_time": "2018-08-10T18:02:07.176823Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + } + ], + "source": [ + "dvadt_400_latlon_mean = numpy.nanmean(dvadt_400[:,:,latlon_indices], axis=2)\n", + "dvadt_1000_latlon_mean = numpy.nanmean(dvadt_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 455, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.497695Z", + "start_time": "2018-08-10T18:02:07.302358Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + " \n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", + " after removing the cwd from sys.path.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:5: RuntimeWarning: Mean of empty slice\n", + " \"\"\"\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:7: RuntimeWarning: Mean of empty slice\n", + " import sys\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:8: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + } + ], + "source": [ + "dthetadt_400_latlon_mean = numpy.nanmean(dthetadt_400[:,:,latlon_indices], axis=2)\n", + "dthetadt_1000_latlon_mean = numpy.nanmean(dthetadt_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "dqdt_400_latlon_mean = numpy.nanmean(dqdt_400[:,:,latlon_indices], axis=2)\n", + "dqdt_1000_latlon_mean = numpy.nanmean(dqdt_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "dmsedt_400_latlon_mean = numpy.nanmean(dmsedt_400[:,:,latlon_indices], axis=2)\n", + "dmsedt_1000_latlon_mean = numpy.nanmean(dmsedt_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "pblh, deltaysu" + ] + }, + { + "cell_type": "code", + "execution_count": 456, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.561655Z", + "start_time": "2018-08-10T18:02:07.505750Z" + } + }, + "outputs": [], + "source": [ + "pblh_400_latlon_mean = numpy.nanmean(pblh_400[:,latlon_indices], axis=1)\n", + "pblh_1000_latlon_mean = numpy.nanmean(pblh_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 457, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.680590Z", + "start_time": "2018-08-10T18:02:07.570006Z" + } + }, + "outputs": [], + "source": [ + "deltaysu_400_latlon_mean = numpy.nanmean(deltaysu_400[:,latlon_indices], axis=1)\n", + "deltaysu_1000_latlon_mean = numpy.nanmean(deltaysu_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "tendencies" + ] + }, + { + "cell_type": "code", + "execution_count": 458, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.814615Z", + "start_time": "2018-08-10T18:02:07.689916Z" + } + }, + "outputs": [], + "source": [ + "rthcuten_400_latlon_mean = numpy.nanmean(rthcuten_400[:,:,latlon_indices], axis=2)\n", + "rthcuten_1000_latlon_mean = numpy.nanmean(rthcuten_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "rqvcuten_400_latlon_mean = numpy.nanmean(rqvcuten_400[:,:,latlon_indices], axis=2)\n", + "rqvcuten_1000_latlon_mean = numpy.nanmean(rqvcuten_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 459, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.929757Z", + "start_time": "2018-08-10T18:02:07.822893Z" + } + }, + "outputs": [], + "source": [ + "rthblten_400_latlon_mean = numpy.nanmean(rthblten_400[:,:,latlon_indices], axis=2)\n", + "rthblten_1000_latlon_mean = numpy.nanmean(rthblten_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "rqvblten_400_latlon_mean = numpy.nanmean(rqvblten_400[:,:,latlon_indices], axis=2)\n", + "rqvblten_1000_latlon_mean = numpy.nanmean(rqvblten_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 460, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:08.057366Z", + "start_time": "2018-08-10T18:02:07.938086Z" + } + }, + "outputs": [], + "source": [ + "rublten_400_latlon_mean = numpy.nanmean(rublten_400[:,:,latlon_indices], axis=2)\n", + "rublten_1000_latlon_mean = numpy.nanmean(rublten_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "rvblten_400_latlon_mean = numpy.nanmean(rvblten_400[:,:,latlon_indices], axis=2)\n", + "rvblten_1000_latlon_mean = numpy.nanmean(rvblten_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 461, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:08.281281Z", + "start_time": "2018-08-10T18:02:08.066001Z" + } + }, + "outputs": [], + "source": [ + "rucuten_400_latlon_mean = numpy.nanmean(rucuten_400[:,:,latlon_indices], axis=2)\n", + "rucuten_1000_latlon_mean = numpy.nanmean(rucuten_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "rvcuten_400_latlon_mean = numpy.nanmean(rvcuten_400[:,:,latlon_indices], axis=2)\n", + "rvcuten_1000_latlon_mean = numpy.nanmean(rvcuten_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "adding in xkz terms" + ] + }, + { + "cell_type": "code", + "execution_count": 462, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:08.418731Z", + "start_time": "2018-08-10T18:02:08.290566Z" + } + }, + "outputs": [], + "source": [ + "xkzq3d_400_latlon_mean = numpy.nanmean(xkzq3d_400[:,:,latlon_indices], axis=2)\n", + "xkzq3d_1000_latlon_mean = numpy.nanmean(xkzq3d_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 463, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:08.579429Z", + "start_time": "2018-08-10T18:02:08.427120Z" + } + }, + "outputs": [], + "source": [ + "xkzh3d_400_latlon_mean = numpy.nanmean(xkzh3d_400[:,:,latlon_indices], axis=2)\n", + "xkzh3d_1000_latlon_mean = numpy.nanmean(xkzh3d_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 464, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:08.738612Z", + "start_time": "2018-08-10T18:02:08.587686Z" + } + }, + "outputs": [], + "source": [ + "xkzm3d_400_latlon_mean = numpy.nanmean(xkzm3d_400[:,:,latlon_indices], axis=2)\n", + "xkzm3d_1000_latlon_mean = numpy.nanmean(xkzm3d_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "t (theta) for dtheta/dz info" + ] + }, + { + "cell_type": "code", + "execution_count": 465, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:03:46.184228Z", + "start_time": "2018-08-10T18:03:46.168533Z" + } + }, + "outputs": [], + "source": [ + "t_400_latlon_mean = numpy.nanmean(t_400[:,:,latlon_indices], axis=2)\n", + "t_1000_latlon_mean = numpy.nanmean(t_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ri3d" + ] + }, + { + "cell_type": "code", + "execution_count": 505, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:10:06.679089Z", + "start_time": "2018-08-10T18:10:06.414187Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", + " after removing the cwd from sys.path.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:5: RuntimeWarning: Mean of empty slice\n", + " \"\"\"\n" + ] + } + ], + "source": [ + "ri3d_400[ri3d_400==999] = numpy.nan\n", + "ri3d_1000[ri3d_1000==999] = numpy.nan\n", + "\n", + "ri3d_400_latlon_mean = numpy.nanmean(ri3d_400[:,:,latlon_indices], axis=2)\n", + "ri3d_1000_latlon_mean = numpy.nanmean(ri3d_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "adding in fxpbl2d terms" + ] + }, + { + "cell_type": "code", + "execution_count": 468, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:26.176618Z", + "start_time": "2018-08-10T18:04:26.166617Z" + } + }, + "outputs": [], + "source": [ + "hfxpbl2d_400_latlon_mean = numpy.nanmean(hfxpbl2d_400[:,latlon_indices], axis=1)\n", + "hfxpbl2d_1000_latlon_mean = numpy.nanmean(hfxpbl2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 469, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:27.017608Z", + "start_time": "2018-08-10T18:04:27.007535Z" + } + }, + "outputs": [], + "source": [ + "qfxpbl2d_400_latlon_mean = numpy.nanmean(qfxpbl2d_400[:,latlon_indices], axis=1)\n", + "qfxpbl2d_1000_latlon_mean = numpy.nanmean(qfxpbl2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 470, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:27.496211Z", + "start_time": "2018-08-10T18:04:27.485887Z" + } + }, + "outputs": [], + "source": [ + "ufxpbl2d_400_latlon_mean = numpy.nanmean(ufxpbl2d_400[:,latlon_indices], axis=1)\n", + "ufxpbl2d_1000_latlon_mean = numpy.nanmean(ufxpbl2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 471, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:27.646321Z", + "start_time": "2018-08-10T18:04:27.636385Z" + } + }, + "outputs": [], + "source": [ + "vfxpbl2d_400_latlon_mean = numpy.nanmean(vfxpbl2d_400[:,latlon_indices], axis=1)\n", + "vfxpbl2d_1000_latlon_mean = numpy.nanmean(vfxpbl2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 472, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:27.891448Z", + "start_time": "2018-08-10T18:04:27.790897Z" + } + }, + "outputs": [], + "source": [ + "bfxpbl2d_400_latlon_mean = numpy.nanmean(bfxpbl2d_400[:,latlon_indices], axis=1)\n", + "bfxpbl2d_1000_latlon_mean = numpy.nanmean(bfxpbl2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 473, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:28.259071Z", + "start_time": "2018-08-10T18:04:28.253500Z" + } + }, + "outputs": [], + "source": [ + "we2d_400_latlon_mean = numpy.nanmean(we2d_400[:,latlon_indices], axis=1)\n", + "we2d_1000_latlon_mean = numpy.nanmean(we2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "hgam and qfx terms" + ] + }, + { + "cell_type": "code", + "execution_count": 474, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:29.328572Z", + "start_time": "2018-08-10T18:04:29.318645Z" + } + }, + "outputs": [], + "source": [ + "hgamq2d_400_latlon_mean = numpy.nanmean(hgamq2d_400[:,latlon_indices], axis=1)\n", + "hgamq2d_1000_latlon_mean = numpy.nanmean(hgamq2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 475, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:29.855876Z", + "start_time": "2018-08-10T18:04:29.845753Z" + } + }, + "outputs": [], + "source": [ + "hgamt2d_400_latlon_mean = numpy.nanmean(hgamt2d_400[:,latlon_indices], axis=1)\n", + "hgamt2d_1000_latlon_mean = numpy.nanmean(hgamt2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 476, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:30.019339Z", + "start_time": "2018-08-10T18:04:30.009796Z" + } + }, + "outputs": [], + "source": [ + "qfx_400_latlon_mean = numpy.nanmean(qfx_400[:,latlon_indices], axis=1)\n", + "qfx_1000_latlon_mean = numpy.nanmean(qfx_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 477, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:30.183300Z", + "start_time": "2018-08-10T18:04:30.173255Z" + } + }, + "outputs": [], + "source": [ + "hfx_400_latlon_mean = numpy.nanmean(hfx_400[:,latlon_indices], axis=1)\n", + "hfx_1000_latlon_mean = numpy.nanmean(hfx_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# calculate diffs" + ] + }, + { + "cell_type": "code", + "execution_count": 478, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:32.547578Z", + "start_time": "2018-08-10T18:04:32.537212Z" + } + }, + "outputs": [], + "source": [ + "dqdt_diffs_latlon_mean = dqdt_1000_latlon_mean-dqdt_400_latlon_mean\n", + "dthetadt_diffs_latlon_mean = dthetadt_1000_latlon_mean-dthetadt_400_latlon_mean\n", + "dmsedt_diffs_latlon_mean = dmsedt_1000_latlon_mean-dmsedt_400_latlon_mean\n", + "duadt_diffs_latlon_mean = duadt_1000_latlon_mean-duadt_400_latlon_mean\n", + "\n", + "rthblten_diffs_latlon_mean = rthblten_1000_latlon_mean-rthblten_400_latlon_mean\n", + "rqvblten_diffs_latlon_mean = rqvblten_1000_latlon_mean-rqvblten_400_latlon_mean\n", + "\n", + "rthcuten_diffs_latlon_mean = rthcuten_1000_latlon_mean-rthcuten_400_latlon_mean\n", + "rqvcuten_diffs_latlon_mean = rqvcuten_1000_latlon_mean-rqvcuten_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 479, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:32.705749Z", + "start_time": "2018-08-10T18:04:32.701280Z" + } + }, + "outputs": [], + "source": [ + "rucuten_diffs_latlon_mean = rucuten_1000_latlon_mean-rucuten_400_latlon_mean\n", + "rvcuten_diffs_latlon_mean = rvcuten_1000_latlon_mean-rvcuten_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 480, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:33.193549Z", + "start_time": "2018-08-10T18:04:33.189682Z" + } + }, + "outputs": [], + "source": [ + "rublten_diffs_latlon_mean = rublten_1000_latlon_mean-rublten_400_latlon_mean\n", + "rvblten_diffs_latlon_mean = rvblten_1000_latlon_mean-rvblten_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 481, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:33.378359Z", + "start_time": "2018-08-10T18:04:33.357773Z" + } + }, + "outputs": [], + "source": [ + "xkzq3d_diffs_latlon_mean = xkzq3d_1000_latlon_mean - xkzq3d_400_latlon_mean\n", + "xkzh3d_diffs_latlon_mean = xkzh3d_1000_latlon_mean - xkzh3d_400_latlon_mean\n", + "xkzm3d_diffs_latlon_mean = xkzm3d_1000_latlon_mean - xkzm3d_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 482, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:33.534320Z", + "start_time": "2018-08-10T18:04:33.528905Z" + } + }, + "outputs": [], + "source": [ + "bfxpbl2d_diffs_latlon_mean = bfxpbl2d_1000_latlon_mean - bfxpbl2d_400_latlon_mean\n", + "hfxpbl2d_diffs_latlon_mean = hfxpbl2d_1000_latlon_mean - hfxpbl2d_400_latlon_mean\n", + "qfxpbl2d_diffs_latlon_mean = qfxpbl2d_1000_latlon_mean - qfxpbl2d_400_latlon_mean\n", + "ufxpbl2d_diffs_latlon_mean = ufxpbl2d_1000_latlon_mean - ufxpbl2d_400_latlon_mean\n", + "vfxpbl2d_diffs_latlon_mean = vfxpbl2d_1000_latlon_mean - vfxpbl2d_400_latlon_mean\n", + "we2d_diffs_latlon_mean = we2d_1000_latlon_mean - we2d_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 483, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:33.868646Z", + "start_time": "2018-08-10T18:04:33.864178Z" + } + }, + "outputs": [], + "source": [ + "hgamq2d_diffs_latlon_mean = hgamq2d_1000_latlon_mean - hgamq2d_400_latlon_mean\n", + "hgamt2d_diffs_latlon_mean = hgamt2d_1000_latlon_mean - hgamt2d_400_latlon_mean\n", + "\n", + "qfx_diffs_latlon_mean = qfx_1000_latlon_mean - qfx_400_latlon_mean\n", + "hfx_diffs_latlon_mean = hfx_1000_latlon_mean - hfx_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 499, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:06:57.916697Z", + "start_time": "2018-08-10T18:06:57.908916Z" + } + }, + "outputs": [], + "source": [ + "t_diffs_latlon_mean = t_1000_latlon_mean - t_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 506, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:10:27.088831Z", + "start_time": "2018-08-10T18:10:27.081011Z" + } + }, + "outputs": [], + "source": [ + "ri3d_diffs_latlon_mean = ri3d_1000_latlon_mean - ri3d_400_latlon_mean" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plots for fxpbl2d stuff" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "$\\overline{(w'\\theta')_h}$" + ] + }, + { + "cell_type": "code", + "execution_count": 485, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:55.216721Z", + "start_time": "2018-08-10T18:04:52.934234Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = mp.figure(figsize=(4.25,4))\n", + "\n", + "fontsize=12\n", + "\n", + "xvals = numpy.arange(ntime)\n", + "color_list = [matplotlib.cm.magma(i) for i in numpy.linspace(0.,0.8,4)]\n", + "\n", + "# bfx, hfx, qfx, ufx, vfx, we\n", + "labels = [\\\n", + "r\"$\\overline{(w \\prime \\theta_v \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime \\theta \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime q \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime u \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime v \\prime)}_h$\", \\\n", + "r\"$w_e$\", \\\n", + "]\n", + "\n", + "ax1 = fig.add_subplot(211)\n", + "ax1.plot(xvals-4, bfxpbl2d_400_latlon_mean, label=labels[0], color=color_list[0])\n", + "ax1.plot(xvals-4, hfxpbl2d_400_latlon_mean, label=labels[1], color=color_list[1])\n", + "#ax1.plot(xvals-4, qfxpbl2d_400_latlon_mean, label='qfxpbl', color=color_list[2])\n", + "ax1.plot(xvals-4, ufxpbl2d_400_latlon_mean, label=labels[3], color=color_list[2])\n", + "ax1.plot(xvals-4, vfxpbl2d_400_latlon_mean, label=labels[4], color=color_list[3])\n", + "#ax1.plot(xvals-4, we2d_400_latlon_mean, label=labels[5], color=color_list[5])\n", + "ax1.set_xlim(0,20)\n", + "ax1.set_xticks([i for i in range(0,21,4)])\n", + "ax1.set_xticklabels([])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.text(x=0,y=1.02,s='(a) control', ha='left',va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "\n", + "ax2 = fig.add_subplot(212)\n", + "ax2.plot(xvals-4, bfxpbl2d_diffs_latlon_mean, label='bfxpbl', color=color_list[0])\n", + "ax2.plot(xvals-4, hfxpbl2d_diffs_latlon_mean, label='hfxpbl', color=color_list[1])\n", + "#ax2.plot(xvals-4, qfxpbl2d_diffs_latlon_mean, label='qfxpbl', color=color_list[2])\n", + "ax2.plot(xvals-4, ufxpbl2d_diffs_latlon_mean, label='ufxpbl', color=color_list[2])\n", + "ax2.plot(xvals-4, vfxpbl2d_diffs_latlon_mean, label='vfxpbl', color=color_list[3])\n", + "#ax2.plot(xvals-4, we2d_diffs_latlon_mean, label='w$_e$', color=color_list[5])\n", + "ax2.set_xlim(0,20)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticks([i for i in range(0,21,4)])\n", + "ax2.set_xlabel('hour', fontsize=fontsize)\n", + "ax2.text(x=0,y=1.02,s='(b) change', ha='left',va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2.5)\n", + "\n", + "handles, labels = ax1.get_legend_handles_labels()\n", + "ax1.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", + " ncol=1, bbox_to_anchor=(1.03,1.0), bbox_transform=ax1.transAxes, \\\n", + " loc='upper left', borderaxespad=0, labelspacing=0.333, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0., columnspacing=0.5, \\\n", + " handletextpad=0.5, markerscale=1)\n", + "\n", + "fig.savefig('figures/entrainment_output.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 486, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:55.941097Z", + "start_time": "2018-08-10T18:04:55.225291Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = mp.figure(figsize=(4.25,5))\n", + "\n", + "fontsize=12\n", + "xvals = numpy.arange(ntime)\n", + "\n", + "ax = fig.add_subplot(411)\n", + "ax.plot(xvals-4, hgamq2d_diffs_latlon_mean*1000.)\n", + "ax.set_xlim(0,20)\n", + "ax.set_xticks([i for i in range(0,21,4)])\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s=r'$\\Delta \\,\\, \\gamma_q$', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "\n", + "ax = fig.add_subplot(412)\n", + "ax.plot(xvals-4, qfx_diffs_latlon_mean*2264.705*1000.)\n", + "ax.set_xlim(0,20)\n", + "ax.set_xticks([i for i in range(0,21,4)])\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s=r'$\\Delta \\,\\, \\overline{(w \\prime q \\prime)}_0$', x=0, y=1.02, \\\n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "\n", + "ax = fig.add_subplot(413)\n", + "ax.plot(xvals-4, hgamt2d_diffs_latlon_mean)\n", + "ax.set_xlim(0,20)\n", + "ax.set_xticks([i for i in range(0,21,4)])\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s=r'$\\Delta \\,\\, \\gamma_\\theta$', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "\n", + "ax = fig.add_subplot(414)\n", + "ax.plot(xvals-4, hfx_diffs_latlon_mean)\n", + "ax.set_xlim(0,20)\n", + "ax.set_xticks([i for i in range(0,21,4)])\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s=r'$\\Delta \\,\\, \\overline{(w \\prime \\theta \\prime)}_0$', x=0, y=1.02, \\\n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.set_ylabel('W m$^{\\,-2}$', fontsize=fontsize)\n", + "\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 487, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:59.517204Z", + "start_time": "2018-08-10T18:04:57.033578Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = mp.figure(figsize=(4.25,4))\n", + "\n", + "fontsize=12\n", + "\n", + "xvals = numpy.arange(ntime)\n", + "color_list = [matplotlib.cm.magma(i) for i in numpy.linspace(0.,0.8,6)]\n", + "\n", + "# bfx, hfx, qfx, ufx, vfx, we\n", + "labels = [\\\n", + "r\"$\\overline{(w \\prime \\theta_v \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime \\theta \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime q \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime u \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime v \\prime)}_h$\", \\\n", + "r\"$w_e$\", \\\n", + "]\n", + "\n", + "ax1 = fig.add_subplot(211)\n", + "ax1.plot(xvals-4, bfxpbl2d_400_latlon_mean, label=labels[0], color=color_list[0])\n", + "ax1.plot(xvals-4, hfxpbl2d_400_latlon_mean, label=labels[1], color=color_list[1])\n", + "ax1.plot(xvals-4, qfxpbl2d_400_latlon_mean*1000., label=labels[2], color=color_list[2])\n", + "ax1.plot(xvals-4, ufxpbl2d_400_latlon_mean, label=labels[3], color=color_list[3])\n", + "ax1.plot(xvals-4, vfxpbl2d_400_latlon_mean, label=labels[4], color=color_list[4])\n", + "ax1.plot(xvals-4, we2d_400_latlon_mean, label=labels[5], color=color_list[5])\n", + "ax1.set_xlim(0,20)\n", + "ax1.set_xticks([i for i in range(0,21,4)])\n", + "ax1.set_xticklabels([])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.text(x=0,y=1.02,s='(a) control', ha='left',va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "\n", + "ax2 = fig.add_subplot(212)\n", + "ax2.plot(xvals-4, bfxpbl2d_diffs_latlon_mean, label='bfxpbl', color=color_list[0])\n", + "ax2.plot(xvals-4, hfxpbl2d_diffs_latlon_mean, label='hfxpbl', color=color_list[1])\n", + "ax2.plot(xvals-4, qfxpbl2d_diffs_latlon_mean*1000., label='qfxpbl', color=color_list[2])\n", + "ax2.plot(xvals-4, ufxpbl2d_diffs_latlon_mean, label='ufxpbl', color=color_list[3])\n", + "ax2.plot(xvals-4, vfxpbl2d_diffs_latlon_mean, label='vfxpbl', color=color_list[4])\n", + "ax2.plot(xvals-4, we2d_diffs_latlon_mean, label='w$_e$', color=color_list[5])\n", + "ax2.set_xlim(0,20)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticks([i for i in range(0,21,4)])\n", + "ax2.set_xlabel('hour', fontsize=fontsize)\n", + "ax2.text(x=0,y=1.02,s='(b) change', ha='left',va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2.5)\n", + "\n", + "handles, labels = ax1.get_legend_handles_labels()\n", + "ax1.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", + " ncol=1, bbox_to_anchor=(1.03,1.0), bbox_transform=ax1.transAxes, \\\n", + " loc='upper left', borderaxespad=0, labelspacing=0.333, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0., columnspacing=0.5, \\\n", + " handletextpad=0.5, markerscale=1)\n", + "\n", + "fig.savefig('figures/entrainment_output.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plots" + ] + }, + { + "cell_type": "code", + "execution_count": 488, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:05:00.005327Z", + "start_time": "2018-08-10T18:04:59.977374Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_latlon_time_mean = numpy.nanmean(ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "geopot_400_latlon_time_mean = numpy.nanmean(geopot_400[:,:,latlon_indices], axis=(0,2))" + ] + }, + { + "cell_type": "code", + "execution_count": 489, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:05:00.487416Z", + "start_time": "2018-08-10T18:05:00.480752Z" + } + }, + "outputs": [], + "source": [ + "xx, pp = numpy.meshgrid(numpy.arange(ntime), ptot_400_latlon_time_mean)" + ] + }, + { + "cell_type": "code", + "execution_count": 490, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:05:01.414526Z", + "start_time": "2018-08-10T18:05:01.406159Z" + } + }, + "outputs": [], + "source": [ + "xx_geopot, gg = numpy.meshgrid(numpy.arange(ntime), geopot_400_latlon_time_mean)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "for dqdt" + ] + }, + { + "cell_type": "raw", + "metadata": {}, + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.15,0.151,0.025)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dqdt_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rqvcuten_diffs_latlon_mean.T*1000.*86400., \\\n", + " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s='(a) $\\Delta$ dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ dq/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "# cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "# cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "# cbar_ax1.tick_params(labelsize=fontsize)\n", + "# #cbar1.add_lines(contour_line1)\n", + "# cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "# ax2pos = ax2.get_position()\n", + "# cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "# cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "# cbar_ax2.tick_params(labelsize=fontsize)\n", + "# cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar3.set_ticks([-.01,0,.01])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dqdt_day1_ysu_and_tiedtke.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 491, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:05:15.282794Z", + "start_time": "2018-08-10T18:05:12.766977Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,4))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(211)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.15,0.151,0.025)\n", + "contour_plot1 = ax1.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " dqdt_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "ax1.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax1.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "#ax1.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000.+deltaysu_1000_latlon_mean/1000., c='firebrick')\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "#ax1.set_ylim(1013.25,700)\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "#ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(212)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "#ax2.set_ylim(1013.25,700)\n", + "ax2.set_ylim(0,3.25)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "#ax2.set_yticks([700,800,900,1000])\n", + "\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "# ax3 = fig.add_subplot(313)\n", + "# ax3.tick_params(labelsize=fontsize)\n", + "\n", + "# contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + "# rqvcuten_diffs_latlon_mean.T*1000.*86400., \\\n", + "# cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "\n", + "# ax3.set_ylim(1013.25,700)\n", + "# ax3.set_xlim(6,18)\n", + "# ax3.set_xlabel('hour', fontsize=fontsize)\n", + "# ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "# ax3.set_xticks([i for i in range(6,19,2)])\n", + "# ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s='(a) $\\Delta$ dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "# ax3.text(s='(c) $\\Delta$ dq/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.0333, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot1, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dqdt_day1_ysu_zcoords.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 492, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:05:19.412545Z", + "start_time": "2018-08-10T18:05:16.624299Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.25,0.251,0.05)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dqdt_400_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rqvblten_400_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "# ax3 = fig.add_subplot(313)\n", + "# ax3.tick_params(labelsize=fontsize)\n", + "\n", + "# contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + "# rqvcuten_400_latlon_mean.T*1000.*86400., \\\n", + "# cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "# ax3.set_ylim(1013.25,700)\n", + "# ax3.set_xlim(6,18)\n", + "# ax3.set_xlabel('hour', fontsize=fontsize)\n", + "# ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "# ax3.set_xticks([i for i in range(6,19,2)])\n", + "# ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s='(a) dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "#ax3.text(s='(c) dq/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax = fig.add_axes([ax3pos.x1+0.05, ax2pos.y0, 0.0333, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot1, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dqdt_day1_background_control_ysu.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "both" + ] + }, + { + "cell_type": "code", + "execution_count": 497, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:06:21.039156Z", + "start_time": "2018-08-10T18:06:16.717745Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,4))\n", + "\n", + "levels = numpy.arange(0,401,25)\n", + "ax1 = fig.add_subplot(221)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.25,0.251,0.05)\n", + "contour_plot1 = ax1.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " dqdt_400_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "\n", + "ax3 = fig.add_subplot(223)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot3 = ax3.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " rqvblten_400_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "\n", + "ax1.text(s='(a) dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax3.text(s='(b) dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "\n", + "levels = numpy.arange(-0.15,0.151,0.025)\n", + "ax2 = fig.add_subplot(222)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax4 = fig.add_subplot(224)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot4 = ax4.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax4.set_ylim(0,3.25)\n", + "ax4.set_xlim(6,18)\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "\n", + "ax4.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax4.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax2.text(s='(a) $\\Delta$ dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax4.text(s='(b) $\\Delta$ dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2, w_pad=8)\n", + "\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.025, ax3pos.y0, 0.0175, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.set_label('g kg$^{\\,-1}$ h$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "\n", + "ax2pos = ax2.get_position()\n", + "ax4pos = ax4.get_position()\n", + "cbar_ax4 = fig.add_axes([ax4pos.x1+0.025, ax4pos.y0, 0.0175, ax2pos.y1-ax4pos.y0])\n", + "cbar4 = fig.colorbar(contour_plot4, cax=cbar_ax4)\n", + "cbar_ax4.tick_params(labelsize=fontsize)\n", + "cbar4.set_label('g kg$^{\\,-1}$ h$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar4.set_ticks([i for i in range(0,501,100)])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_tendency_terms_background_and_percent_change_zcoords.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# for xkz terms" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "just $K_m$ and $K_h$" + ] + }, + { + "cell_type": "code", + "execution_count": 509, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:11:13.907861Z", + "start_time": "2018-08-10T18:11:13.333026Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 509, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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DirtyKZe4vVCsnh2pJD3R18XQdJjR6TAj02FGQ+bvi1a30TjWT38Qdo5DnQ98gE/M72C0D5EoEa1HtIEAICg+FB8wM3AMJUpzoJXVgWazTtX5HSUU7AMgIj4i/YXrOpireCsBj1UFk24jIgJ8AbgG07/746p6Y57tCQD/BjwPeLGz+P8AN4rIR1X137wey6u83wC8DydtAnwT8GPTITkxn6QNlSXufAa1ZCPp6YFuJsNRI2hHzhsWN9DRUEt3zzF+O2oiYj9KSw10+CE81E9o9BgnKLzCETYwGwKF+nsIAcucn2RMD/SziH4WJVsHPLNiO1ERttE7G5MXQ77jPbnVHS8lHqsKptvmauBS4BTMLPP3i8gjququl5It/4i5D/im2AJV/Z6IdALfEZGgqv6nlwN5krczwuh9zsMDwKqsmlsA5kPUPd+kDZUj7nhpZ3q/ZCPq0d4u+qdCNAX8tNUHGAuFubuzj7Aen5uxVpT2yCStddA81ss5EqCZMA1EkSgm9zGTObecKWWhwFTvMCo+1OcjKn7ntw/RKC2+wxzYdAaHWcSyYwcS9i+2dEcGCztrT11bB/XtHQnL6/2eehR5qSqYbpurgM+p6lHgqIh8D7iCucWusuUNwJ+p6pzZ4FT1ERF5A/AtIH95i8gpwDcwnzyxaoB7cmlxPlS7uOejtKH84vYq7GxvIE4PdNM3NUP3+DQ9E9MMBmcAYVO9sr0ZahRW6yTNEqaZMC1EqCWKTEBoAujvIda5bcb5rUDQF2BoSpmsbWKirokZfwAVn8ldixFwpG6tS8xzBR1bzpbU12T5k3+kse8YB9ZtJ7DrEIHgVOqNKbxsU9E36S/JeeLwUlUw5TZJ1j2LicTzYRVwKMW6JzEjOT2RKfK+CXgQk/N5I/A14CKvB7dYcReDTNLONkcdGuxhPBRmYibC8qY6Qn09/HYIpqPQxgwnyTQdhGiZDhMKmRzHloG5EbRb0iOjE0zUNhlJ1zYxWWf+jvhqoM1sFwgFCYSCSDSKLxpFdAZfNArBMBKJINGo6yfxsc/5OzimEI0ikSiTm9dx7NTT6bj7AaZeeiEHt51Lx90PkO3c7WUSbS7kXVUwwzatwIjreGPOsnzoAs4BHkqybjtwxOuBMsn7TODFqjojIh8DSt6ps1qj7vkqbSifuN3S9iLsdLIOR5XeyRDd49N0jU4wHhEafMrL22Bm6Bhnaw1NEkH7j3fRUyB21uBAP1OBBiZrm2cFHRN2tP24/ALTUzROjrJ0oJeGyVE40k/d6Cg1odTpi2yi4dgV6Zv0o3t64Y0vY+DM7fh++zTB52+hT5qQifzLCPRp8hnoi03IV5v0f2naF4DCVBVMt82cdUBj3L658E3gGyLyf1V19oPHGQT5NUymwxOZ5O1X1RkAVZ0UETvzTgastAtLtlF2MmGHBntQVUamwyyqq0FE+OPBHjqDgg+lnRBrZZqlOk1oMMJMfw+NGFlPD/Qz7a9ltGHxrJzHffVMbToN9R2XdG1wkobJUdoOHaVudIT60WHqRkfxz8xt78igDzNaLb2gc4l+ZWqaqfseo+GVFzC55zChW37O2Ezx67/1ULE3LzNWFUy3jYjsBE7FdIkGkz5+Ms82fRZYAzwiIocxkXgHsAG4FW8DH4EKnwatmqJuK+3Ckk7amYQdG/AyHYnSMzFN93iInrFJpqLCJYuVthpYPT3AUvHRToiIq2/0DDA+NMxwQxvDjUsYWLWBYOPxb8p1wQkCQ8O0HzGSrhsdoW5sFH/YJE5iUfMMsVTKXEl7lXLOke7uw8zsPkTtC08j3HmU7uFBmresY+y5fbkdr0D0RdLn3ouEl6qC6ba5DbhBRB4ANmNKfZyfT4NUNSoi/wB81TlWGzAAPKCqO7M5VsbIW0R+7vwtQK3rcawxr8jmhF6x4i4/pZZ2vlF2LMIWEfomQ9x7cAAQAqJ0aJAtEiIwEmS8v5t6zPDgCDA5OMho/SKGGpcwEGhlYuN2EMEXCdPYe4wT9uyhsa+X+tFhfJHInLRGvKQzyTlbKecS1fp/9TBrVr0G/+Xn0PL0bpZfdh4ajTK+y3RwKJNIc6J/bIJobeKo2dGxwlQVTLWNc4ibgdMwOfFh4F35dtgQkXdjSs0C3KOqn871WJnkHV9M6vscH5gjlHiQTqUxX6UdY1lrc0kEnk0uO5mwp8NRDo0G6RwY4YRa2NoITQpbmGCpTLOYGXy+4930FOifCDHUsIShpiWMbHRSIBqlZXSQpTueprm3h4aBfnyObEcGfUkjaUgv7FLIOp7IVJC+X/2OE//Pizm2ey9jXT10XHIORw7sZ2ayesRdCDJVFUyzDc6Ix3c4P4XinzBTqtUC+4Av5XqgtPJW1W8DiMgLMcPg17r2icn7luR754edLacyiI+G3TIv1JyJuQgb4OhYkL29Q3SHQBFa/VA7NUIoaG7QneQIewaY8NdxLFLPcOMShhraiLQHAGgcH2Z51z7q9h+lsf8Y/vDxHLGJsJPnpishwk557sgUfTt3Eti8mtXnn82u//0FJ73qpWy49EXsuvOegp2nFPSMTRIMJEbeY2OTZWhNQbgHM1Ldj5kfM2e85rxvxYxC+gjmm6ZlgVJOYasqo6EwDaNmIMueURicgfVMskqmWKRhECPsoC/AQKCZvsByhhrbCNUYAdRNjdPee5jWkV5qdh+mZnquNDP19Ki0KHv23ElSIZ33PsSi1StZfd5ZHH74MdZeeC7tWzYwsLuzYOe1ZM1VwGWY4PcT+RzIq7yXA59Q1Yq9rWypfHKNsCdmIuzr6uXgNIxHhJe1QWDkGKepjwDR2ZTIkK+O7ro2ups3M1lnilUFwiFah3poHe5l0XAv4QOJc15Xq7Ahff46PBVk370PcvKrL2dgz36OPfUcU4PDBT2/JTtUVTHRd954lfe3MXVMvlCIk3rFpk6qn2Svn1vaqYQN0N/dzRMT0DcjgLCEENtlChkOgoD0dzEuNfTUtXG0aQPj9a2gyuKpIZZ27qF1qJfGyREEMyzc3WkunbC99AjJRtqlFHY8g7s76X9uD6vPO4unbrmdyf7ED69Kpnc8SDCQ2E99YrxypsArF5mGxz+HyWv7gc0i8iHMQJ3ZG5WqekpRW2ipOnIVdlSVI109+IBltabq3tRMmJMkyCqCNEqEUF8P0+LjUO1iuls2MhhoBhGag6Os3fcE7f2HqQ2Zf+zxnuk5U32nEnahu+8Vq99zrr1EOn/1G1rXrGTTyy/h2R/8hA2XXsDA7k4G9+zPvHOBmYzOZN6oBHipNuhs9ybgY5i+2LESIbtEZCPwHKZqTYyXq+r9RW+8Q6bI+20laUUabPRd+XitKeKWtjvC7uvu5uA0HJ6GYFRYRpDFvmEEeLGTEokgHK5tpat5HX2BFtTnpz40ycpDO+joO0TDlLmROt4zPTsKslSyhsoTtpvwVJDOXz7Iya95GSeecSoN7W1suOxCRg93EQ6WJhNaKdIGb9UGne02A18B/gL4tbP++8DzMRMU/4+qXlmyhseRqbfJA6VqiKW68FpaNZWwzbpuHh2Dw9OCoCxjmlNlimVME+rrQYHBmma6m1bTE2gl4g8QCE+zvLuTjt6DNI0PzaZEYn1gkgm70GkQKP6owkL3xR7cs5++5/aw6oVnsvunv2TLKy9j/UsuYM/P8urw4Il8xH10PMRITeK1nhrPK6DzUm0QTH/s+1X1Lme7zwOfEpElwHpgbz6NyJeKHmFp8U65v514zWNPHOtm/zSsrwMdPsZyrWOR+FnBFNLfbYTtb6C7cQXdgVZCNfX4I2Ha+o/Q0XuIRcO9CDonJRIv7ELeYHRTimHgxRxAs/9Xv2HRmpWsOvdMjj7yJ1afdxb9O/cxtO9A0c5ZSRG3Cy/VBsGMvvyF6/GZwCQwipH3JSJyDSZ18lVV/Wxxmz2XkslbRB4C3quqv892X5s6OU4lXQevaZFQXzcTEdg7BQemIaxC7eQwKwTa+01BtwlfLd0Ny+mqaWWqtgnRKIsHulnbd4i2wS580WjaHHa8sPMtpFTKeh2lGvHoTp8M7j3ARG8/ay88p2jyLoG4M1UVTIWXaoOo6uwMzSLyOsxsYu9X1bCIKKaf9j9jBt38REQOq+pteT2jLCi6vJ0bA68FLij2uUpNLiL1MiqzkgSdDK9Rdqivm4jCY2NwJGQ6tq4gyAaZoLH/CBPio7uugyP+FsYazNwwLcO9rD/4HO39R6gJzzDeM417OEaxhF2u4kqlHqo+uGc/fTt2s+rcM9h15z2MdxduurRi0DsZZiyQWFxrejIMGaoKisg/kXyO3e+QudpgbF0H8HVM1H2Nqt4JoKofcG02LCJfBl6JqYdSEkoReV/gnCfncdaVLrNsqNbn4rVPNsB0bzcjEVhcA5GhY8xEF7ORMOtlEn9/FyP+Bp6sWUpvywlEfX4ax4dZ0/kk7X2HqQtNMd4zjbsj2HyJsCuF/b/6DYvWrmL1eWfx9K0/AqCutZnpApdCaDRlW4HypE+cuiEJtUOcVEemaoOISBNm/t6HgZPdKRXng+EmZ5YxgACQueBKASm6vFX1wwAiktMMFNUqu/mAlxrZbmlP9nZzMAh7pmAqCi+RPuoFTh/YSRgf3XWLOdS0nrH6RfiiETqOHWRZTyfN40OM90y7ijwtDGGXq0BUODjNvnseYOtrX87Kc8+gtqmRto1reeKb/01kujj/b26RVwBeqg2CqSLYrarxNZ7A3MxcLSL/iCkbch2JtaCKSsXcsBSRa4FrAVauXAlYcZcDr5MauKU9dqybvVPQGYSQCosJcbJMQn8Xg/56Djeu5GjtYiL+AI3T46zb+zgdvYcIHnW69znHWQjCrhSG9h6YTZ/sues+lm/byrqLz2PfL35d7qbNoWcsSh2Jr31oMvf3Q7pKgu6Kg5gbmxc5+XA3GzGivhlTj7sb+LSq/jLnRuVAxcjbudFwE8Dp27apFXdpyGXKsNl9e7vxCcwo7JqC5UzP5rOP1S7isdZNDAWakWiU9v7DLOveR8voABOutMhCFXYllGWd7X3ygudz9A9Psuqc5zOwax/DBw6Xu2lFJ00lwdmKg6p6PWZkeSouL07rvFEx8raUjnyErc4oyN1T4Bc4K3yMWuAy8TE12M/h+naOtj2PGV8N9aFJ1nQ+ydLeAwRmQkm79xVa2FDZ0q4kTPrkQbb++csZ3HeQyf5BNl5+MU988/tEQpXRxa9/3CST4wlXbVHBwmHlvQDIR9YxwlFl39Ee9k7BaESoI8J6mSSi0DU6xeH6dgbaTgGN0jHeT8eB55w+2WYQzTSpo+yFJuxKiLpjDO07QO+zu1j5gtPZd/evWXXeWdS1tlRdDZSFyLySd6pueAs5BZONuJNJO9RnJuDdNQnPTAotzLBdJmkdPEpX3RLurV1MqPUEameCrDr4DMt69lMbCs5G2e6a2IWKsqtJ1NXAgft+y+K1q1hx9nae+OZ/oxFb9bkaKJm8VXWd521FCjpLTaGOVU0fAvlIO6rK4a4e9k3BunpYNnGMFSrUj4wSFR8HfS0MLN4KwKKhHtZ1d9I22M1ET5AQ0FdgYVtZF5fZ3id//gpWnXsGR37/OCvO2k73408TnSlv+qRvRPCHJWF5JJi4bKExryLvYuP+EKhEkacSdox03fzA9Bo5EDS9RiajJjUyMXiEwfAkh6P1HGtdzXSgnppQkBVHdtL89C5qJ0xfka40wobKKPJkSc3QvoP0PrOLVeeeQXB4hDUvegG1LU3sv/ehcjetKGRRVfAB4BzXou+q6tUiIpgS2ddg+nd/XFVvLH7Lj2PlXeVkEnaMTAWiAB4cDDNKgLaZcdYHB4iIn4M1ixlrWWvqZA/1sGzXXlq6DuOLRhkZ9DGVYeLdTNJeaKKupHx3PPvv+w2L1q5kxdmn0/3406w4cxsDu/Yxejj5vZFqxWtVQYcNwKIkE9FcDVwKnAIsAe4XkUdU9U/xBygWVt45Us56K16FHSMmbre0p3q7OTINh6bhzHAvNaJsHhlnvKaeAa1lR/NqVHw0jg+ztvMJ6p/ZS2A6yMigDxOe+PIqALXQpF0NRKZDdN7zAFtf92cMdR5kamiYTS97Mc/+9/8WfPSlV/qHfch0YqVITbIsCzxVFRSReiCcYgaxq4CzmEm8AAAgAElEQVTPqepR4KiIfA+4grkFr4qKlXcVUQhpD/V00xmE/VPKDD6awkGOTE0xEPHT27KGsL+WQGiKE47uoXHHHhpGhhkZ9Dn1RfITNlhpVzpDnYfofWYnK88+nb13/5r1l5zPSa95GU/dcnu5m1ZIvFYVXAfUisjjzt8PAG9X1Z4kx3gWE4mXDCvvPIjlwEsRgeeTHomlRQYH+rlfOxCF9plx6qIhBnwNPN2yDolEWDJwlKW9B/DvPIyoMjLoI5TjjUcr6UQqOWXiZv99v2XR2lWsPPt0nvn+HYjkFeUWk6JWFQTagB3AO4EjwBcxRa0uc7YdcW075iwrGVbeBSC+N0shZZ7NTcj4in6hKBychuDEBCf5xvH193Jis5+JqNDf0AZAy0gfKw7soO7ZTvxh07PAdO8TT32xraS9US3iBpM+2feLBzjl9X9Gx8mbOfTQIwCsvfBcZoJBuh59omRtaRwGX5LpKqMhmCxyVUFV/R1G1LHtbgCOiUgDMOw+BtAYv3+xsfIuAsm6JuYidC/d/eKFPROFw0MjdGs9vdQRRWgJ+xiaVAbankfU56d+aoxVB56ho/cg4YPH32/JRj26pW1FnRvVJO4Yw/sPcezp51h17hn4AzUcfOhR6ha1sPKc59OweBGd9z6ERvMfXFVMClBV8BVASFXvdRYFgDAQAnYCpwJ7nHWnAE8W9AlkwMq7RGQrdC9TicXSIaEoRIeO4RN4LtrMXhYTiIZpik4xhZ+xmkammgJ0HDvA0mMHaB4bZMKZTd3LqEcr7dypRnHH2H/vQ0RCM6w4cxuL1q1m789/RXBohFUvPJO6RS3suvOeolUhLDJeqwouAT4qIq/EFKD6Z+B2VY2IyG3ADU5Xws2YCoTnl6T1DhUpb1HNvFGVEy/ubGQNMDbQSw/1HJ0WBgMtbBubYnpigqFmP76GOmZqAoTx0dzTxeID+9Ad3Ugkyiiwb9JPrGLEXEkniiaVfJb6G5IutxiqWdoxouEIB+77LUN7D7Dp5Zdw2pV/zpHfP87eu+9nw2UX8rwrXsVT3/khFPH/dfFwLzW1icFDZGaC/iTbe8FrVUFVvVVETgIexMwlcg/HC1XdDJyGyZ0PA+9S1T2UkIqUt8r8Gj3lFnVM0rE0nhdRhwZnZ2NirL+fp5rXMhhYCuLDLyFqQkGebFkHrYI/OEX9vkM0HOpifE8fM9Mz7JgVtCRE0blKJn4/K3PDfJB2PCOHjvLEt/6b9S+5gNXnncV4Ty/77v410XC4qOIuJl6qCjqPPwx8OMl2EeAdzk9ZqEh5VyupoukgmacLm7vumLO8h6AvwNGZGkSVRfueY2TxcsY2BZBwBA34iNQE8PeOUtO5D9/+LgZ6BoC5qY5SCCXZORaS0OejtN1EpkPs/fl9DO49wMbLLmTDSy/i0INmOtqOrZvRSISB3Z0FP69MdiEzo4nLbVlBK+9cSBZJQ+6SNuvMdtMD/UzV1NNNC4MdqxlvbQfAF5wmes5m8PshGGLmYBfhzi66DxwkMmXi+JhAvEw5VYqZTeZ7dD7fhZ2Mwd2djB3tZuNLL2b9Sy6gbdM6fH4/ratO5OCDv+foIyUbo7LgsfJOQrp8NMCoh6HmZl1yOc8e95jp6THWM02ouYWpQxOo30/XSy9C15yAhiPEEkhT45NMdB6ha98+Ro/2zPm6msv8gO59SjVFVbXmzxeipNMxMzHFzh/fxbLTtrL+kvNQVUaP9rD2wnOpb1tE5z0PVnxPlPnAgpR3oeRs1qcWdEzO4z3HUxgjgz4U6K1dRHT1OqZWLcN/5nJ8jfVMHu6h/oQOfIEaIqEZRg4dZajzIEOdhwiNHR87UOjJXMshcje5yDEf4VsZF4bep59j5NARNr/iJbSuOpHJgSGWn7aV+tZWdtz+04IIPDR5mGhNY8LySMT2gJp38vbS/S7TzUKzLvsIOibp+O53SgBd3MxgKIQGQwRP38DSi84GoEYVcW7Q+lobOfbUDoY6DzFyuIuJmSSjE4pMsg+GCps8FrACzodCfvhPDg3y6HdvZ+3Zz2fji17IzPQ0UxMTTIQrW65eqgqKyIeAD8Xt6gfeDPwAM6rSfcf2bar6rWK1OZ6qkLfXAS7BgV7S6S7d0HGzLDtJQ7yojeQUGFjUSM3q5fjXnoB/9XJ8DXXUjYzhb2qkpcb0p54aHGbk8FFGj3TTe+gwwdGEipQVgdd/9kqUfLVT6G9ZRUGVg48+Tn/nQU595Us54ZQtRGZm6H52FxqNMHK0O/MxSojXqoKq+kngk679zga+AfwYU+vkMVUtad9uNxUpb1H1JOxC1Pswy4737oiRKfXhpnfSjy5qhuW1yPgUw6s7aLr8XMTnQ53IWqNRItMhxvccpOfQYca6egg7Nxqr4h/UA6meh5V6eubL6z/RP8Cj3/kBG85/AevOOZMTnncSIsKzP/slx57bndMxQ5PHiPjrEpZHI3kNDvJUVdCNiNQA38ZE1xMish7Ym08j8qUi5V1TW8uSVWszb+hlmyIxNDTE/v372blzJ3L4MNPBIH6/n0gkQgPg9/s58cQT2bhxI2vXrmXVqlUEAlZiloXBoUOH+NGPfsTIyAinveplvOPzn+biiy9GRGbThGXEa1VBN28DDqrqg87j9cDpIrIPaAJuBT6gqiX7JC6JvL3OWlFJjIyM0Nvby8DAAAMDAwwNDTE1NcVpp53G+Pg4Tz75JOPjx1/n2tpaVq1axebNm1mzZg0nnHACPl/FVmOzWIrKmjVruO6667j77rv505/+xIMPPkh3dzdXXHFFNofpmp7spbFldcKK4FQfQFORqwoCIKas4nuAv3QtDgCPAh/EFKX6IfA+4FMezl8QRIs8QsrJL+1jbn7pqKqm/Ipy1lln6WOPPZZqdd7MzMxw5MgR9u/fz9DQECMjI0xMTDA5Ocnq1auZnJykr6+PUCj5VzOfz0dzczMrVqxg06ZNrFu3jiVLllRCRGGxVBy7d+/mhz/8IaFQiBe/+MVcdNFFf1TVszLtJyItgdpFo82tG6irXzK7fDo4xPjoXmZCo4tVdSTN/umqCnap6ged7WqBaaAxvjiVs/5VwAdV9Zz4da5tXg+8R1VfmOl5FYpSRN5Z55emp6d5+umn6e3tJRKJEA6HZ393dHRQW1vL2NgYPT09RCIRIpEI0WiUaDTKsmXLCAQCjI6O0tfXRzQaJRKJEAqFmJmZoaamhpkUk6r6/X6GhoZobW1l/fr1BAIB2traaG9vp7W1lebmZpqbm6mvr7eitlg8smXLFt75znfys5/9jPvvv9/zfqo6JiLLx0b2HvP5TiZQ28pMaIyxkT2EZ8ZOTCduZ/+8qgq6eDOm/on7GNcB96hqLO8dwMxlWTJKEXl/AYiq6nudx3WY3notqfJLK1as0Le+9a05nS8QCFBTU4OqMj09PZtjCwQCNDQ0sGbNGtrb2wkEAtTW1rJ06VIWL15MU1OTTXNYLEVEVdm1axdbt271FHnHEJH1NYHmzpZFmxgb2Ut4ZnyTqu7LtR0i0o4p5fpqTL77VuAPqvrRJNsK0A9c6p6fUkS+hilqdTXQDNwJfFlVb861XdlSisg7q/wSQEdHB294wxuYmJigpqZm9icQCNDU1ERdnbn7LCKz62wkbLFUNiLCySefnPV+qrq/Y/k5jAztYFHbKfQfeyRncTvH81RV0Nn8VMykC0/FHeYGTAp4P2YShm8CX8+nXdlSisj7XzAFzdPml0TkWuBa5+GpmE/ESqYDcq5KWUqqoZ22jYWjGtp5kqq2lLsR1U4pIu+deMgvOXeJbwIQkcey+VpVDqqhjVAd7bRtLBzV0M64HiKWHClFkvcO4EUi8iKn50mqWSssFovF4pGiy1tVB4BYfukw0IuTX7JYLBZLbpRkkE6qWSvS4KWjfbmphjZCdbTTtrFwVEM7q6GNFU/Rb1haLBaLpfDYjs0Wi8VShVSUvEVkg4j8WkQmRGSHiFxc7jbFIyLvFZEjIjLutDX7jqtFREQeEpFznb9FRP5VREZEpEtE3lbu9kFCGxtF5FsiMioiPSLyHyJSERW83O2MW/4pEbm7HG2KJ76NInKViBxwXvMfi8jicrYvRtxrvlRE7nDa2Oe85v5yt7HaqCh5Ywqc3wcsA/4ZuK28zZmLiJwD/APwIqAdeAT4alkb5SAil4vIjcAFrsVXA5cCpwCXA58UkeeXo32Qso3vB07GtPF04AXAdWVo3iwp2hlb93xMkaKykqyNInI68K/A/wVWAbWYYkllI8W1/DgwDJyAec1fAlxZhuZVNRUjbxE5AzPA4BOqOqGq3wb+ssI+kSOYuRZiN3r9wGD5mjOHCzDtco9avQr4nKoeVdWnMQXosyrrVmCStfEy4F9U9Yiq9mBGqb2kHI1zkaydON8IbqYybrgla+PVwI2q+junauebMb28ykmydoYx7vEBQmX9H1UNlVTP+0xMvYFvi8grMMNOr1PVSHmbdRxVfUxE7gRileWnMJFD2VHVDwOIyKWuxfF1i5/FROJlIUUb/xY45Hp8FtBFGUnRToAPAL8CngO2lLpdblK08UzgfhF5HFiD6eF1fRmaN0uKdn4ceJzjQv8VplidJQsqJvLGRN0vAX4BrMbUCrhDROrL2ioXIvIS4LXAGUAL8C0qLLUTRyvgrrw25iyrGFT1Wad6XJOIfAn4c0zKrKIQkVMx31o+WuampKMDeD2m7vQWjMCTlUQtN/+KSTkuxqTM1lLmVFk1UknyBnhaVW9T1SlV/SqmzOJJ5W6Ui9cA31HVPzkVEd8PnCUiSzLsVy6GMUV1YjRiiuhUFCJyCSaa3QCcoar7y9ykOTjF+L8BXJ+mbGil8F+quldVBzGSvKTcDUrCa4CPquqIqu4CvoS5J2PJgkpKmxzAyBqYLcXow6QmKoVJTH4uRhiTB6+kNrrZiSnytcd5fArwZPmak4gzy9L3MXMD/ne525OCFuD5wF1O9Uo/4BORHlU9oawtm8sBXP9DVN7/T4zJuMczlLgW9nygkiLvu4EVIvK3ItKAydUd5Lh4KoGfAleJyBlOGz8K3F3B0dhtwA0issTpKXMlcUXlK4CPAO+uYHHjRIgBVa1X1XrgLcAvK0zcYD4ErxORk51vg/8AVOJ1/QnwERFZLCJrgbdjphGzZEHFyFtVh4CXAm8FjmG+Wr1eK2gIqKo+hLlp9QOgB5Ovu6asjUrPzcATmA/B24F3qWolfRiCuan6NREJu35+Ve5GVSnfAv4TcwNwB/AHzNyxlcY/YO6/7AN+A3xPVW8vb5OqDzs83mKxWKqQiom8LRaLxeIdK2+LxWKpQqy8LRaLpQqx8rZYLJYqxMrbYrFYqhArb4vFYqlCrLwtFoulCrHytlgslirEyttisViqkIqXt4i8U0SuEJGdKda/RUSuKuD5Lk51Li/7eN1fRNQ1HHzGmQbsRyLS4ay/SESeKWQ7vSAi60QkWOjjlopiXRfn2O8UkSucv/N6/ZxtCvretSwsKlreItIKvBHoT7PZLcC7nEJRmY73WRGJSuXMO7lKVWtUNQCsB5pw6i+r6gOqemoxT15hsxRVDMmui+u96K7Bke/r5/m9a7HEU9HyxlRvuwNTdrVGRL4sIoMi8kdnvj5UdRq4HzMFVEqcf5A3YiZ5+PsM5004V3xE5yXCc6r57RCRd2Z6oqo6ANyJqWkdH82/UkR2OtHd7SLS6OzmE5Gvipmweb+InOc69zUiclBEJkXkdyKyzXXcP4jI1zGzmcQiwGMiMoCp8BY7xmdEZEDMxMCfdepax+YlfFrMBLI/FZHVrmM/KmZC2T6nzS9Icl1SbpfqOju/d4jIV5zn+4iIvMppR5+IvDfd6+c63ktE5CkxE0j/QJxa7MmuSxxvAe5INbNThtfvr0XkkIh0i8iHROSAs4+n967FkoxKl/frMBMSA2zETI22ClM+8vsxmTjbvDrDsa7C/KN8BPhrEWlLs23CucjyWjmC/RnwY1X9Dw/bL8NUUrwvbvk64NuYcq4rgCXAu53VmzE1nDuA7+JEfU6U+CXgVZjZSn6Led4xzsQI6iwR2QT8C+Zab8TU/EZELsbMGrQBM9XbnwMvE1PC8/vAOzEzHj2JmRszxtnAUWfdT0k9K47X7dxsxUzasNx5/GXM634h8CkRWeQsT/peEZFVznV6m7NuCvhCsuuS5Nzu92ICaV6/zcAXMa/F84CL43b18t61WBJR1Yr8wchyBiOfi4Eu17oApqTkJufxSmA8w/GeAs53/v4B8N4U26U6198CO+O225ni770Ycd+Vpj0KBF0/iimR2eA+Jma2nm+69tuKmbT3YswUZ7HKkOcDe52/6zGi8GGmwvos8GvXcXtcx/sg8DXX47Od9lyMmXXn9ZgZeJqd474fuCXu+kxgZgK/GOh1teniWJuSXOOk27mvZdx1iLUnts9NwL+6tuvHTP2V8r0C/CPwFde6dcBQsuuS6r2Yw+v3QeAm134vBg64Hmd879of+5Psp5Ij73bMP01sDsbu2ApVnQH6nG3AzDzd5EScCYiZZktV9bfOoi8C16fJ+aY7V4x0126js/05IhK/n5t1erzA/2LnvP8Ut80aoNPVnudU9ZfOwx5VjdX0jTB3ZqQPYOp434IRuZth19+rmDsBcJdznl8D78KkmI5hJnZow8w3uNfVnhnMa7TMWTToalOQ1LM1ed3OfZ17XftEgdEU26Z6/dYC14pIUMxN2Z1AixyfJ9V9XdzEvxdjeHn9VjP3+vbErU/73rVYUlHJ8o79M4vz+8TYChGpxXx1Puwsisb9jufvga/EHqjqbzCR2mtTbJ/sXL9j7vVaFr+TiyPAi5x9PE0Aq6ojwF0YmboZ4HiaABF5oauHQqpi7G/ARJXrVfVi0s/MfQzzARFjjXOe7cDjqnohRkAKvAcjwtk2OqmKDuYKKh+ipL7OXovPp3qv9GKi9ZhwFwHnqGqm3jXx78UE0rx+k8BS1+PNceszvXctlqRUsrz7MBFZLDd9ooi8XUTqgPcCj6lql7NuCTClZlLgOYjIekxONH6W9y9hIstkJJwLI+Q1IrLUidjflKbtE07E917gGjEzj3shQuJr8iPgL0XkNCeK/zdM+iIdNZh5FuudG5XXAQERSSafHwKvcz4UFmO+5oNJn3xdRE7ESLMe85r8EPgLETlPRJoxU8H9XFVTRa3Zks11TkWq98oPgb8Ska0i0oTJd3/Aw/Hi34upSPb63QdcISInielG+J649SnfuxZLOipW3qoaBh4FTnMW/RETzQ5jIuZrXZufiolyk3E9pgvXLhE5EvsBPgOcLyLJbk4lnEtVOzG5498Dj2CEnuk57MD0bsl4w9JhHDhTRGZTCKr6J8xX8Z8Bu53zfyPDcb6D+Yrfi5kW6z2YfPA7krTxaWf97cAu4BfOqluAZ4FnMDdF+4AvqeqTmG8y33GWbcV8OBSEXK5zEpK+V5zn+n7MDdJeTBolY9uTvBdTkez1+ykmTfcQZmqyRzETV8dI9961WFJS0dOgicgNwCJV/XCG7T4DHFHVr6TbzmLJFa/vxST7tQHNqnrYefxS4BOqeo7z2L53LTlR6fJejOned7YT/STbJoCJZs5X1clSts+ycPDyXkyx38WYlN0LgRBwK/CIqn7Qvnct+VCxaRMAJ4/6X8BfpdnsSuBG++a3FBOP78Vk+/0akzp7HNiD6ZHyaWe1fe9acqaiI2+LxWKxJKeiI2+LxWKxJMfK22KxWKoQK2+LxVIVOHV+LA6phiSXlfYlS3T1ypXlbkbBiCYdG1NZ+Oy9j5S4X79yXKdoKBj3eDpxm5m5y3yBuqTH8tUmX14qfLX1PPnMM/2qujTz1sfZXNukAYRNtU3sDU1k9Q8lIg9hahn93hmo9gXgGkxNno+r6o3Odusx4xfOxNRC+htVfS6bc5WSipT36pUruffOH5e7GQVj0p9pQGRl0Bip2jkYikaq165U12ri0O45j6cO7UnYJnikM2FZjPpVGxKWNayJH6FffJrWbJm9lmvXrj6Yzb5b61q0LxLizPpF7AyNs7WuRZ+bHssocBG5HDNI6wLX4quBSzHVM5cA94vII85guFuAB4BXAG/FVMs8nQrFpk2KTLWIG6qrraUg3fUoxbWKF3cy0ok71fqpQ3uSfggUg6Y1W2bFvadviLt2ZVcCZ1tdqx6dmWJrbTM14uPk2haOhoOcVtfq5SvQBZgA1V164Crgc6p61Blx+z1M+YI1wPMxkfgoJjpfJ5UzcUsCJZG3iFzvFKIfFVO8/8TMe1U/1SjDamxzMfByHYp5rZKJO1648WKePLQv6bFSCb7YAo9J+8nBKfb0DbF3cIwdA96/sYjI9s6ZSbbWtVDjlO6vEWFrbTP7ZyYRkTPS7a+qH1bVv8UUd4uxDfiT6/GzmHLB24Hn1EyQgapGMVUnN3lucIkpurydokwfwxSqX4Gprfy5Yp+33FgJVi/ZvHbFeJ3zEffkoX1JJV5KgTet2YKs3zZH2nfu6eOOnRPs7ks6EVEqPrm5tolamaupWvGxpbYJ4BYRecz1c23So8yllbmlfcecZfHL3esqklLkvC8EfqqqjwCIyG14LJNarVS7uCf99Qs2/53La1fs65VLxD15aB+NazYm3S8+Dx47fr658FikPQkJkfbuvgidx+BId1bKqenw11PnSyy73+gLwPRoj6pemmUzhwH3nKGNmEk+4pe711UkpZD3zcDXAJySplcCD5fgvGWh2sUdYyEKPJ/XLrZvvtcs0w1Kr6mS2Lp4gceOkexG5tShPTkJPBtpr+wapTTZ9pTsxFRyjDXjFMxUfruArSLiU9WoM8XiSZheJxVJ0eXt1LVGRN6CmboqiJnGaw7OV55rAVatWFHsZhWF+SLuhUihXrt8PvQKKe74bZJF4fkKvGnNFnMO52bk3sExAHYMBGelDUbcK7tG8Q8+6em4ReY24AYReQAzMcaVmMJge0VkN/APIvIV4H3AM6p6tIxtTUvJugqq6s0icivOLNwicmJM7M76mzBy5/TTTqu6TsfzUdwLJfou9GuXy3XLV9wTBw7P/t20bnVim7JMo2QSuLsHCUzNRtuxnHYs2l7ZNcoaR9qTQ88QmhpMe9wScDOmLvtBTKrkXaoau9hvxPTz/gTwB8yMVBVL0eUtIh8EDqrqrao6JSL/Cfw75kbAQPq9q4P5KO4Y813gxXrtsrluhRR37LFXgceO7zUPPtuDxIO0VwL+wSfzkvZaXzONvkRNBTWCmcEvM6q6zvV3BDMpSbKJSXYD5+TU0DJQisi7D3i/iDyMmdz23cDTqjovxA2FH7BR7g+DSpO1l/7O8cS+0qcjm+u8p2+IzUszzYKWePxKu5a5km1eOyZtoBKi7XlJKeT9DcxUWQ9j7uY+DLyuBOetWjL9wxdK7uUQSy4izvU8XgTuBZMaOP47Fcnknum1aowEE9oZexy7VrHoNxYNu6Pk4JHOpNG0m2S5bfdx44lvj5V2YXAG/OwB6oC/AfpU9X9yPV4pbliGMdH2u4t9roVCtnIvpaSzlXOmfsblGMrtJibs2M24eDYtaUnYNhXZyl3Wb5vz2rmlmkrs7mXxpPswc7cjfmYIK+38EZF3AR8C1gNfxvRkqRORc1U1flJqT1RkbRNLfhRT1vlGztkOCsl1EEkhpO8Wd/zIwFPa62fXpcItdvfxvBATfSq5y/pts38ni96T7euWcmJbpmb/in9O5ZT2ap+fliT9vCejBT9VsXkX8AJMb7tXYyYEB9MV0crbUjxylXYq+WaqyeEm1dd+L+dNFW1mSmfEizt2Q27LUiOSVMO8Y1KP7ZuKeLGnOn9+pBaym0xD1m2kXRAWAUeAFwO7VbXXmRc15xxoRco7KjKvbvZUO9mIO1OknK7nRKrcrRfR5yL4VKQSN5ByeHc2Uo8du1h4kXE6OuM6cVhpF4QfAXdh0ib/4ZSf/Q/MpNY5UZHyjmEFXl68SNtLWiOZfFMN6U5Gphtyyc6Rr8yTdYFLxobl5ncyIcaEDpmFmivZijgeL8PVrbQLwlsxA4JQ1W+LyAsxIzv/NdcDVrS8wQq8XKQSt9ccdCZhx/dNdhPfRzmZ1DMJ3X3+bHqdJKt+l6wmx6oTw7Pr4kkndJgrdTdZFm1Keu50Ml7ZNZq4LMl2yUZClmuAzYqOGRbVJI7ZG49EIPHpVCyqGhaRR4A9ItKIKT/7lKrmnB+reHmDFXgpKaW0hzrn9mto29CYsA2kHjGYDC9ReircQ7xhbq7XLb6jK1qTStKL0GPH9UK6qDn+/LH2xWTsdSh6LJpOh42082dB9zaxAi8u6VIk2eaxY3iR9pHeAACrls3MWR4Tefy+kFzm8ed0Szy+z3eym5XuG4Tu2hzxdTkiS7YnRLBHV5iqoamic8icvkhFsg+J2OjFGH7X8PNkWPlWBAu7t0mhKrdZ5pJLtJ3uJmI20k72OJ3I44+ZSuTuNmTqNpjsBmW8uCeHnqGx7dSEiDYbmcNcobvJJt3hboPNQ1cNC6O3SSbmWxQeL89CjQzM9rxucunil620D0Tnpg/WOf1504kcco/Kk+FV3JAY2XqVOaQXejxW1oXDqR7orlfyXczkw0knIS4iC6u3STrmg8BTyTO2vJgSzzbazjY1At6k3Rk1OeYNvpakMo8XefxxU0Xlboln6vOdTtwx4mVZ27DEs8whUcgxmScTPVhhx1i0tpG2ukRN1cyEIXNFXIANwKLY9GYAInINqSchLhYLr7dJOqpV4F77TRdD4oVKkeSSGkkm7WSPN/haErbPVuTuNqXqNujuWZLq5mSqXhaZZN7YdiqQeOMwlczjt1vIwi4UIlIPhN3idpidhBg4KiLfA65g7tyWBcUpE/JtETlNRC4DHgT+4CzPiaqWN1SfwHMZqVioIku5nLsQ4k4n7ZHI8f+rRf66OdvEJO4+RnxqJSZx9/njo/E5bXfumyQTt5tsS5m6t0sVlceOm65bMsQAACAASURBVLRdVtbFYB1QKyKPO38/ALyd5JMQZzudWlaIyDZM6sSPmcv3HOAnIvIaVf1jLsesenlDdQm8ac2WrCVaqMg7l3MXmg2+lgSBw3Fxp2NdkhoX8cTE3bRuNY1rNlK/agMNazbHTR6QmCqJserEMEdoZSXbMUdKL/DahiUJy2Kizobj+1iJZ8FKEXnM9fgmZ1KXGG3ADuCdmJuFX8RMtpBqEuJi8l/A51X1RhGZUtUnROT9zvKzcjngvJA3VJ/AIXMkXKobl2B6ZCRLndSv2pBVHZJkrPP5E/LZhcAddcNxcS+98OIEaceXNE0Wbc8eN4XAcxV1LFWSjlhEHjteY5uNxgGa1qygqSHxgz0yPQPsOJpuAmJV/R2uKRdF5AbMDA6DJJ+EuJg8D/h2rGnO7//ByDsn5o28oboEDqklXkxpp4u+vQq8cc3G2dRJ07rVs6mTtg2Ns6mLVctmEnLe8bhTJvG4UyaQGHUnE7c72u644M+AufMrZpL2nOMnEXg6UXsRdDrc+8eL3EbjuSEirwBCqnqvsygAhEk9CXEx+T0m136za9llxF7cHJhX8obqEziUNsLORDEj8FzJRtxt510+J0Wyd7A3K2nPOY9L4HVLtlP47w7JiRd5NUfjyb6tlJAlwEdF5JWYWbz+GbgdeIgkkxAXuS3XAv8rIn+PycP/DlgGvDbXA847eVsykyn3XYkCj+EWtzu/veS8y2bTJE8OTuUl7TnnOzEMJzYm9EIpFalEXmnRuFdJm/bnPHlMVqjqrSJyEqZnhwD3ANdjqqKkmoS4WG05ICKnA2cDa4Fe4PdJesJ4Zl7Kuxqj71KTq8BjpEqdFAJ3ysQddScTtzu/Leu38WTfEHfu6ctb2vHEovBik+4Dwi3yWH+aUkbjmQSdy43aTDSsXEdjc2LvofCUt/9vVf0w8OEkq5JOQlxoROR9KVatB84REVT1c7kcuyTyFpE3AR8DOoA/Ateq6q5intMKPH+SCTxT9O3OexeSeHHH57djaZJiiBtihaVSd8n1MnLSC7HBO/HESz2ZyPNIn2YkWzHnew9gHrG1WAcuurxFZDPwFeAvgF9jCrR8H1MSsahYgafHS9fBTBF4MYlF3anE7c5v37XrEDsGgtz9TIQj3TUpa4jkwoblsTKurv7qcR8O6c5XCLGnk3pMlHVFFGap8v3zDVV9c7GOXYrI+xLgflW9C0BEPg98SkSWqGplJOwsaUklcHfqJBleepzEE0uZJOvTHRN3svz2HTsnZkdIrnnmISJd2zm6ojUvicfKuG5Z6ndmwjkeCGxZOre0a7pIP1Mb8pF7KqlbKgsROQtzw3Q1cd5V1ZxmDimFvO8AfuF6fCZmLtSS3P1xl/+0UXgiXgfuuAWeLHVS6Lx3jFjU3bahMWN+W/84yZpYIamhZ1gzeGrOEo9F26e018/ON7lpSUvc9GXu95M3kSd9jgX8llANZDNMrG7FWupbE+f7nJ4ofGquyNwC/Az4OHPfODlTdHmr6uxbWUReB9wIvD+fMf25kmnSWTcLSfS5CDxGpug7F9zpEi/57QefOF5IarjrwdnjhKYepDYHiceLOzaTe3qSixxyr+WdDvfkDvmSamafGNnO8APFec5VTgfwQVUNFeqApbph2QF8HRN1X6OqdybZ5lpMX0hWrkw2OVNp8Sr6hSR5N+luXOZ609LdyyRe3Ony2yu7Rpned1uaAlLP0AisZDvaRVqJJxO3+zXOVuS7+yJzROtVaunknEq28ZMcF4pT2o//nW4uTrfk07W/vAUaysZ3gb/DlKItCKW4YdkE/AZ4GDhZVceTbefUJLgJYNu2bYmT1lUomSRfLXLPJ/qePUYBUifrfP454vaS385UQCo0NTgbhTe2ncpKtnOERIGnErf7urgHVLlFvnlp22zdFHd65ZT2eOF5i2KzFXQstVNsYueZmz4yxCSfabLluwveqqrghcDfi8h7McPzZ1HVU3I5YCki7yuBblW9ugTnqji8RPDVIvhUeEmdeKlv4hZ3fH57EmYH3rhLt2Zf+e94FO4WuNdUibvCY2MkOOf1TS1ws82OgeCslONTEeWStbdvEgb3VHHx53fLPL7NmWS+QEjV3ztnSiHvbcBFIhL/PXWjqh4swfkrnkq5qZpN9O0meKRzVuCx6Pt4WVaTPjnSG5gVeKyyoLuS4AZfy5yIe05hKWebl5+0BnYdglOD3E1s6PqVkCJlEk9twxIa204lsuR4/ju3/HZqYvvv6RtKiFJPaa+fFVm6PHMxhZ3P83M/t3jSR+THP7yypX7lBhraFicsD40lnqeSUdUHRKQdeAlmWPwB4J58cuCluGF5PWZIqsUD1TRPZ6a5IZNJnNmug+afvTM6xgZfi3OTMjqb4wZmc9xuZgWWhcBj0gbyFrfXOjTpovBUEiuGtPP9MEp3zFwlvhARkfMx9byfAPqBNwL/JSKvd6ofZo1neYvIKZgi4j73clW9J5cTW9JTbRKfOrQn5Yw1MYkPdU4eH3ATJ/FY1O2uwZ0s5TRHRh4EnizavnB5OKEbYC6Sy5QSSyXwk5qhs7sPXyTMCY1+iEZRVaLh1fhqapgeHqB+cgTVKBqNsuugWb95+xn4/TV0H+yk7+iR2fXRqPl9xsWXsWVZ6QpB5SrxBcq/A29T1R/HFojIXwH/CZyeywE9yVtEvgD8DRDfvUAxxV4sRaJaJB6LwtNJHMzNzGQSb9tQPzvvZHy6JB6vAi9FmiQVMzMzjIwMIyPDDA8Pc7S3jw3P20Z9YxNPPnuIli5THcKttoaOE9i0rI0jQ90cPnoIn/gQnyA+Hz7xodGomYfFwe+vobmpDp/Ph8/nY1OHSS+oKv+/vfOOjuws8/TzVkmlrCpJpRxboVtSR3WOzgF7DbbxGJaFGZZsWHaXYWCXhUM4Js0MM5z1wDAszC4wM4ANhjE0NrZpp3a7292t7rbd6qwcWjm0QinXt3/cqrKkLqVSRfX3nKNTpVs3vBXu7773C+9PRALyvrwRziIuIncD38dIPJ/GGO0WimDWcn1f7e8wRuH5xFIz7w8ClTPHbGuCy2oX8YSiYk/W7a25ZC6LCbhbtJtnZNuwfOF2mGM9fQEzm0zc8Y2NjXHNJdBZWdlYrVZaWlo4dOjtnEZEsFqtTE6MExufQEVJMXVJNkwWCyImitOSXUJt3NTmlawlr8R780xZegpl6dtg+7brXlNKcfLkCaanp9m9e8+i783fBELE43NLSLCnXbd88to1L2vPRkRSgF8CH8awQPsR8HWMEh3B5iTGUOjHZiz7AIYFm08sVbxrgUwMFwpNCIlUEXd3as5m9rDChZpLvLGQgE+D37JtpRTKnsfI6CgJcXEMDg/zp6MvMDAwwNjY29/Dnj17sVqtpKamsnXrNqxWGzabjeTkZEwuYb7S3Y8lNo6KgqXNZVhOrEaFOicXLpynsLCQ7OycZb1Pf7EUEQ8S7wJOK6WeAhCRv8bIvkMh3p/AqOf9GQzf+3wMN5/7fd3hUsX7UeBVEfkTc6a136hDAENNpIm4G+8ibgw3XKy5xBvzCTiwIuGemJigvf0qra2ttLe1MjQywtYN69mzdQvOuGSmp53k5xdgsxkCbbXaSExMBCAhIYHNm703Y+YnxVLT2IJjaIjJiXGUcuJ0KpRzGqfTSZIlGqfTidM5zfS0k8YZz52udYzn1y83mUzs2bOXpKQWjhw5wgMPPEh09PJqy/iThUQ8SMw1Gq4BMkUkcb75JoFCKVUnIhuBnRj1vLuBo8Go5/0d4E8Y5Vydvh5M439Wi4i7m1iWU8LAjTcBX65oK6UYHXUQH5+AUoonn/wV4+PjREdHk5eVyZbKCnKzMgCwWCzcd987F9nXKAMDAwwM9Lsejb/x8eu/J7PZ7Gq3NjNoNh7NZpNnmclkwmw2ER1tcS03e9q53duazSba2to4duwY+/bt58UXD3HqVHVImk/mEkARX8yAOBnDcAEApdS4a8hyMhAU8RaRzyml/s5LXe8iYEcw6nnnAtuVUqO+HEQTeCJZxL2N6V4ucwUcWFS4HQ4HV6+20dZm/MXFxfLggw8hIuzatZuEhAQyMjJJnDEUd+bFRSmFw+G4TqAHBvqZmHh7G4vFgs2WQmFhoSdTt9lSiIuL8zSn+IP+/n5+//unqK+vpaKiksuXL7Fp02bi4683MwgFvnQOj5pjvF7QR81jAAsaEGO45HiMhkXEgqF5wbwVKHc9+r2u93Iy7y+LyLdD1FOrWSKRKuJL6aRcjLniMFe4p6enMZuN4RrV1Sc5e/YtAGJjY8nLyyU3N88zUqOkpNSznZpSDI2M0H/tGp2DjlkZ9eTk27XGY2JisNlSWLOm2CPQNpuNuLi4oIz+SElJoapqK6dOVXPgwE2Ul1eEjXCHiIsY7d5uKoArwUxClVIfdT3OquvtGnrdr5Rq93XfSxXvLwAJwP8UkQmMIYICOJVSCb4eXBM4IsWIwi3iKxVuN26xdj8ODg7S1tZKW1sb7e3t3H//AyQnJ5OdnY3FYiEnJ5e0tLTrxHV4eJj29qtcvXqVjvarOEbfPt/j4uKw2WyUlpbNyKRtxMbGsRjzfSf+ev8bNmykqamJEydO8OCD7wagr6+P1NSQGgGHiqeA74jIAYz27m9hFIgKOiJyC8bIl/XAI7imy4vIp5VS/+bLPpcq3l/CGJM4k0RmD3vxGyYVMXWpwhpfBHypU+RXgrdZiv6szlyWnkJPTw8vv/wSQ0NG/3piYhKlpSW4NTo3N4/c3DzPNuPj4x6xbm+/yuCgsV1sbCzZ2TkUZKSRkJaB1WojNnaeu5sVXCyX+z3NJ/Ymk4kDBw7wu989xbFjR8nNzePo0SPce+99ZGb6sY5sBKCU6nVZMP4LkI7hfPztEIXzDxiTdPpE5FPATRgTHn8DBFS8PwHYlVJfcY2dfBT4CPATXw66FIKdNfor89EsfQq5vz5zpRQ9PT3U1l7Bbk+nrKyMxMREbDYrlZXryc3NJTk5eVZ2PTU1RWdnh0ese3t7AYiKiiYrK4vy8gqys3NISUlBRGb/HsPgjsbb+eH+PG22t5tP8vPzSUxM5MiRV7n//geIioosz/H63gH61fV1YIYGl+blopQ6CBz0c1i+sAY4KCJVwJhS6i0RicGoc+ITS/0mDwB/EJFtwC7gdWCbUuqCrwcONxY6GSIZX9rAl5t9B1us3QwPD1FXV0ddXS3Xrl3DbDZ7suLY2FjuuOMuz7pOp5Pu7i6PWHd1dXmG16WnZ1BVtZXs7BzS09P92okYKtzNJydPnmDPnn28/PKLnDlzmh07doY6tBuVExhJ7w7gKRGJB/4SOO/rDpck3q5U/3aM247LwP1KqVXvSTpX8CJZzJcr4m5BXkzElyLc/vzcZnY6Hj78Cp2dnWRlZbFhwyaKioqwWCyAkY0PDPR7xLqjo8PTuZiamkZl5Xqys3PIzMwM6VjoQGE0n9zkGn1Sx9q16zh3roaioiLS031O9jS+80GM2Z1XgW8AdwLvwGVA4wsLireIXMDonHQTDZQA9SIyAr4XEo9E/NUuGUr8JeLBzLadTift7Vepra2ltbWFhx56mNjYWHbu3E1MTAxJScasvenpaZqbm2hoaKC9/Sqjrk7GpKRkiotLyMnJISsr25Odz0ckdPR6Y259cZvNRlXVVqqrT7Jv3356enpmzQjVBA+lVCswc8TJ77i+H3FZLJZ5P7KSnd/o+CoCwRB9X0V8uftfCSMjI5w/f466ujpGRx1YLBaKi4txukwd7HY7Sik6Otqpq6ujsbGBiYkJYmJiyM3NIzs7h5ycbBITvU/JjlSRXgj3e3J//uvXb6CpqZHq6pPcf/+DJCRE1uCwhv4RerFct3wkwup5B909Xin1ii871ayMuSdgIAnEuPCVxO1wOJicnMRqteJ0TnP+/Dny8vIpKSklPz8fs9mMUoq+vl7q6upoaKhnZGSEqKgoCgoKKSkpIScn19NuHT89FhYdjMFm5vd5595dPHHwGU4eO8KBW+/g4sULZGZmYrenhzDCG47Ic48PBL6IQyRmWTNjDrSQ+0PEfY1xamqK5uYmamtruXq1jfz8Am6//Q6SkpJ53/ve72nHHhoaor6+jvr6OgYGBhARcnPz2L59B/n5BVhNrm4YNbFUq8gbghSrlV1Vmzl66gyFl89zruYstZctvOc/3OPpP4DwbOZbRUSme/xycYroH9IcgiXkvoj4SuI5ffoU58+fY3JykoSEBDZu3DRrdqPTaVTJq6+vo6urC4CMjEz27NlLRX42cZ72a63WC7G5opz65haOnX6DAzu2c+i1o1S/VcOuqs2edQI9gegGJ/Lc48OFSJlxuBSC0ayyVBFfbgxKKTo7O8jIyMRkMhETE0NhYRGlpaVkZWUjIkxOTlJXV0d9fS1tbW0opbDZbOyu2kzZmiKSXdX7NEvHZDJx2949PPGHZ6htamZd8RpO1ZyjuCCf9LSFZ18u9BvQwr5kItI9HgAReRX4vFLq9WAdc7UTjGx8PhFf7vGcTicNDfXU1NTQ19fLLbfcypo1xaxfv8HzemtrC/X19TQ3NzE1NUVifDxVlRWUFRdhTwmM482NRIo1mV1bNnP01Glu3r2TlvYOXjz6Ou+57x6fa6/4++I+l8v9Y8Q7rz/G2LDPlVRDReS5x7tsiB4E9gf6WIuxmrLvucwdJuZvfN339LTR6Xj+/DkcDgdWq419+/aTn1+AUoru7m7q6mppaGhgfHyMGIuFdcVFrF1TRHZGRlDtvG4ENleso765mddPv8HNu3aQEB/Yolmraa7ESnC5x8cBdwBZwBNArFKqy9d9BiPz3u86TlCLn99ohNtJMTk5SXR0NCaTiStXrmC1Wtm7dz95eXlMTU1SW3uFS5cu0tfXh9lspqCggOLiUnJzczGbzav2IhtqTCYTt+/bw+MHn+FyQyP33nozMHvyUyC5Ub9XEbkVeBJ4C6MJ5QiGwc37lVLP+bLPgIu3UurLACKyUN1djY+Em2h3d3dRU1NDe3s7Dz/8HqKjo7nvvndisVjo7e3l2LGj1NXVMTU1SWpqKnv37qO4uJjo6NljeWe+rxv1hA8UtuRkdldt5rXq01yub2BoxEFDSwvvvuduzKugNMBSEJFXMEp9uPmFUurDYtyG/D1G7aYR4FGl1A/9cMjHgA8rpX4nIqNKqQsu9/jHMCoNLpuw6bAUkY/jmiqam7s0fz9fWE1NJ+Ei3E6nk5aWZmpqaujq6sRisbB27TqcTidTU1M0NTVx6dIFuru7MZvNrFlTTHl5OXZ7+pJu2bWQ+59N5euob2rh1ZOn2LttC129fZypOc/2TRtCHdos6nqniZm4fiTRpGPFo4uKAasXG7IPYzRtVAKpwEsiclwpdWbuDpZJPuDOsN2z1g9jWKL5RNiIt8u+6EcAmzZt0jVhFyBcRNtNX18fL774AomJiezcuYu1a9cyMuLgjTfOUFt7hYmJCaxWKzt37qK0tIyYmBifjxUpZhPhjslk4rZ9u3ni4DPUN7dSUljAybfOsqYgjzSbLdThBRQRiQWm5vGP/ADwt0qpNqBNRH4JvJfZXpi+cAj4ooh8dcayDwHHfN1h2Ii3ZnHCRbQdDgcXLpzH6XSyY8dO7HY7d931DjIyMmhtbeHQoUN0dLRjMpkoLCykvLyCzMwsv3aM6Wx85RjNJ1s4Un2KAzu309bRyYuvvc5D99y1KiorLkARYBGR067nrwCfVEp1cL1p8TmMTHylfAL4GYY1W4yItAONwPt83aEW7wggXES7t7eX8+fPUV9fh9PppLi4GKUUw8PDdHS0c/jwy4yNjZGYmMi2bdspK1tLXNzi7jIrJZBCHimzeX1tDtxUsY665maOn3mTPVu3cOTkKbp6+8hKtwcgyrAhBaMU638HWjGMEv4Vo9JfMnBtxrpDrmUrQinVB7xTRDIwmkq6lFJNi2y2IDeMeEdqdhYuwn3uXA0nThwnKiqKtWvXUVFRyeDgIIcOPU9raysiQl5ePuXl5bNqiwSbcPi8QhWDL01KImJM3jn4NA0trbz/gXeRlBg+xauauiHKi83StFEwckH3eBH5IkYtkbn8TCl154z1Pgd0uobyzTItBuLxg2GxiCRglIXNwXDQ8dyJKqW+6Ms+gybeSqmiYB1rLlq4l8/w8DCXL18iNzeXzMws8vLyUUqRl5dPY2MDzz//LCMjI8TFxbNlSxVlZWtJDPLMx3DIssMJXz8PW3ISu11Zd2tHBxWlJTS3XSUvOyvcm08WdI9XSn0Lw7dyFiJyr4jcoZQ65FoUDUwBEximxRuAK67XKoE3/RDrbwALcMoP+wJuoMw70giFkCilaG9v58KF87S0NKOUIioqCrs9nf7+fjo7O6iuPolSipycHHbu3E1BQQEmk2lVVO+L1Iu8P9hUvo66pmaOnDxFdFQ0zx1+lb3btlK1viLUoQWCVOBrInIfhjnC3wBPKqWmReTnwOdcQwnLgPcD+/xwzF1AtlLKbz8yLd5hSKgywGef/SMdHe3ExMSwfv0G0tMzaG9v4/HHf8HExATxcbFsqSynsqwMW7KrRrau4LcqEBHX5J2nOX/lCmvy8jj+xpusyc/FlrziJt+wQin1byKyDmOongDPA592vfxjYCPQhNGE8hml1BWvO1oeL2KMWvmZH/YFaPEOO4Ip3P39fdTW1rJt23ZMJpOnZvbExISrDslZzGYzxQX5lBeviYTbaM0KsCYlsaeqildPVrN321audnXxwmvHeNedtxMdIuPi9s4oJO76Y6vxlcXjmjz4ZS/Lp4H/4vrzJ08CPxeRvwdmuScHxIxhNXAj3wp7w+l00tTUxIUL5+ns7MBsNpOfn8/g4BB1dVfo6OgAICsrm+0bKikpKMBiWX0ejxrvbCxfS11zM9VvnWVX1WZePVHNH154iQfuukPXmVkZ/xv4LHAccPpjh6tOvMNVrMOhM2xwcJA//vFpHA4HiYmJlJWtZWJigueff47p6WmSk5PZunUbxcUlHl9IS5h+nprAYIw+2c3jB5+mqbWNe265CadSWrhXzjjwE6XUtUXXXCIRLd7hKtRuQi3Y7trZDofDI8h2ux0RobOziytXLmOxWCgrK6O0tMzrdPVQvwfN8lnpeWFNSmLP1ipePVFNSWEBlWWGOcal+gbiYmIoyM3xR5g3Gv8M/EZEHgO6mGHsrpQ64csOI0a8w12o3YSD2F27NkBjY6PHLiwpKQmHw0FdXS19fX2ICPn5+ZSUlHl8ITWrh7m/QV/OnY3r1npqn5hMJsqKCnnrwkW6+/q5aed2NqxbniG1r2R1DBEVc/3vc3pymPqgROA33M7x/zBnucKos7JswlK8TUrdMGJ9pXv+8f9l6UszIFDKuIiLCGfOnOaNN4zZvcnJyaSkpNDf38/Jkyew2+3s2rWH4uJiYmNDf5HRBAdvv9HFzi8R4c4De3nu8BFeeO0YDS2t3H3Tfg6fqOaV4ycZGBpi79Yq3YG9RJRSa/y9z7AU73AnkII933pzhdztoN7Y2EhTUyMHDtxMdHQ0Y2PjJCUlMzQ0yODgIPHxCWzatJmSklJsq7zgkGbpLGU2ZkJ8PA/cdQdvXrjI62fepL2rm5t37SQ5MZE3z19kcGiYd9x8QAv4AojI95RS/1VE/okZTSUzUUp9ypd9r2rxDocmDG8sNaP2xvj4OG+99SZNTY0MDQ0BEB8fzwsvHGJ01JhHnJKSwsaNm8jLyycjI0OfXBrAt+YTk8lE1fpKCnKy+dORYzz7ymEqSkvYs7WKyakp/dtanE7XYwfziLevrBrxDlehXilKKbq6upiamiQ3N4+xMaOiX1RUNCKCUoqJiQmys3PIy8snLy8v6NPUNeGHv5sd01JSePjeuznx5lnOnDtPYkI8d+zbA0BHdw9RZjP2VO0z6oUvuWqsuJk5IsAt5t7qryxKxIp3uIv1Sk4ep9NJe1c3dU3N1DW34BgdJS42ltiYGPqvGSONEuLjWLemkMLcHHKyMoma2ekYIf0FmsjCbDazZ+sWivJyOfTaUf79uUNsriinraOTa0ND3HXTfory/GukYh44hznaSzIyNerX4wSQctfjJzHqpDyKMSW/EPgi8KyvO45Y8XaLY7iL+FJxOp2eW9DnDh+hvrll1rC9sfFx0lJsVJaVUJSXizUpSY+91YSE7Ix03nvfvRw9dYY3L1zElpxEQnw8z7z0Cgd2bGNj+ToARpove7YZbfbHDPPIw132VUQ+ApQopdyzK6+KyJ8DF4B/9GXfESvebrxluOEg6It1CDmdTnr6+2nr6KKto4OrnV2Ul5bQ2d1NV28fAHExMRTl5VKYl0tedhaWaD3TURMeWKKjuWX3TrJj4LVLjYxNTJIYbeLwiWpaq4+wwexABBzNdZ5tRhpbQhhxyJnG8Kqc6ZyzjhVUBop48fbGXMEMpJgvtXnE6XTiVIoos5mmtjaefeUIU1NTs9Y5e/ESWel2dlVtpjA3B3tKis6uNWGDO5OemUUntNZzixLeNMVzdTIGy/QEA+PjdJ95GQH6698uxt3aFX7Jh4i8CnxeKfW66/95DYhFZA2GacM2DBf4/6yUurDEQ30ZeEZEfg00AwXAQ8Bf+Rr7qhJvf4i0vzp6nE4nvf0DtHV20tx2lfaubjLsaUxOTtHd1+dZLy3FRl5WFtkZ6eRmZhIb67u/o0YTSBIK1noe3UIeV1DGaPMVDgDNwxNUdzkZMCfTX7EV+/gA9mKYrjem06QUu8R8YOnHHB24iDnq+vPaOT2xovciIncDDwL757y0kAHxv2BYpt2LYWv2S2DLUo6nlPqxiLgrC+YBbcDNSqkaX99DWIq3UyQssuXl4HQ6GZ+YIDYmhr6BAX7zx+eZnJNZd3b3kJWRzvZNG8jJyCAz3a6bQjQRiVvIZz63A2sdDl587XUuIsRYLIhycuc9/4n4/quAYaHOX3wm+AFfz34M/Rues9yrAbGI9AJVE/TfBQAACbpJREFUwB1KqXFXdcAviUi5UuriUg6olKrDizmEr4SleFssFgoK8kIdxoIYdUM6aWho4NKlS7S1tRETE4OIMDxs/B6io6Nd09BLKCgoIDs7W09F16xq7MCHKjdSXV3Nc88ZBc+eeeMSDz/8MOvWGR2Z4SDerpKwiMhcJ575DIg3AxfcjvNKKaeIXARKMdx3gk5QxNt1i/J9DP+2p4GPKKWGgnFsX1FK4XA4GBwc5Nq1a/T19TE4OEhlZSXDw8O89NJL9PT0zNrGYrFQUlJCfn4+hYWFniJQGs2NhIiwY8cOiouLefLJJ+no6ODxxx/ntttuY//+ua0UCzI6OTnstdlkcnIIIBDjBeczIJ67fOZrISHg4i0iKRhtQx/GaC/6EfB1IKSX34mJCXp6eujq6qK3t9cjzsXFxa4iTnX0918/jf348eOe58nJyRQVFVFaWkpBQQFWqzWYb0GjCWvS0tL42Mc+xiuvvMLhw4d5+eWXSU9PX84u/qqv8+SDttSNREXHexZOTTkY6D0L8PoKDIg/Ms8x5zMgnrt85mshIRiZ97uA00qppwBE5K8xsu95xdvpdDIwMMDIyAiTk5NMTU0xOTnJ9PQ0CQkJREVFMTIyQk9PD1NTU0xPT3se7XY70dHRDAwM0NXV5XltZGQEh8OBzWZjbGyMgYGB60Z7ALS2thIXF4fFYiE1NZXExERPgafU1FSSkpJITEzEarXq4k4azSKYTCZuvfVW1q1bx29/+1ueeOKJJW+rlGqwZ+5ioO8sKfYtmM0xTE+PM9BbgzWlkp7O498EvrnA9l4NiBdhPgPiS0CFiJhcTSYmjKF+by1z/34jGOI9tw2pBsgUkUSl1NzOAgA6Ojp47LHH/B6I2WwmMTGR9PR0srKycDqdpKSkkJaWRnp6OklJSZ6Lg0aj8R85OTk88sgjHD58eFnb9XQel7SMbWqg9y1sqRsZ6KshyVpKT+fxQLVHejUgVkrVishl4LMi8o/A/wBqXB2bISEYKpWMYeYJgKundsq13Kt4W61Wbr31Vnp6ejCbzURFRXke7XY7iYmJTE5OMjQ0RFRUFNHR0URFRREVFUVycjIxMTEopVBKER0djcViISZGD8HTaEJJVFQUt91227K36+06JSn2Taqn83WsKRX0dZ8OZEfSQgbEf4ExzvvrwEngzwMYx6KIuxZ0wA4g8h1gQin1Jdf/FgxLoHil1OiM9T4OfNz17waMDD2csQM9i64VeiIhTh2j/4iEONcppZKWu9FCd+s3IsHIvC9itHu7qQCuzBRuAFdHw48ARKRaKbU9CLH5TCTECJERp47Rf0RCnHM6GZeMFu7ZBKMY71PAARE54Bp58i3gF0E4rkaj0axaAi7eSqle4IMYU0tbMMw3vx3o42o0Gs1qJijDKpRSB4GDy9jkR4uvEnIiIUaIjDh1jP4jEuKMhBjDnoB3WGo0Go3G/2gDOo1Go4lAwkq8RaRYRF4WkREROS8it4Q6prmIyOdFpFVEhl2xli++VfAQkVdFZLfruYjId0XkmohcFZFHQh0fXBdjvIj8VEQGRaRDRB4TkbAotTgzzjnLvykiPttX+ZO5MYrIB0Sk0fWd/7uI2EIZn5s533m6iDzlirHb9Z3rim3LJKzEG/gV8CKQAfwNxmynsEFEdgGfBQ4AacBx4AchDcqFiNwtIj9kdn3imbWJ7wa+ISJVoYgP5o3xCxg+f5UYtZF3Ap8KQXge5onT/VoVKyig7y+8xSgiW4DvAu/DqBltwZgJGDLm+SwfxZgAk4Xxnd+OMZNRswzCRrxFZCvGBIOvK6VGlFI/A94TZlfkaQzHZ3dHrxnom3/1oOKtPrGnNrFS6ixGgbD3hiI4F95ivBP4jlKqVSnVAfxfjJM5lHit9ey6I/gx4dHh5i3GDwM/VEodc1Xt/BDGKK9Q4i3OKQztMWG4qYfTeRQxhFMRj20YxWB+JiL3Ag3Ap5RSPnu8+RulVLWI/B5wO6uOskQnjUAzT33i+WoTh4R5Yvwohi2Um+0Y7tohY4Faz/8LeAHDNHbt3O2CyTwxbsNwfjmNYbN1EPh0CMLzME+cjwKneVvQX8AoVqdZBmGTeWNk3bcDz2EYbvwEeEpEwqZ0n4jcjmGdtBVIAn5KmDXtzGG+2sRhg1LqnFJqSEQSROR7wLsxmszCChHZgHHX8rUQh7IQduDPgPdgXFwK8F4SNdR8F6PJ0YbRZFZIiJvKIpFwEm+As0qpnyulRpVSPwCiMcouhgsPAP+qlDrjmqr7BWC7iKSGOK75mK82cVghIrdhZLPFwFalVEOIQ5qFq/zn/wM+PbesQxjyf5RStUqpPgyRXH4lqMDzAPA1pdQ1pdQl4HsYfTKaZRBOzSaNGGINeFycTQTGLcNXHBjtc26mMNrBwynGmcxXmzhscLksPQ48opRaerHn4JKE4V/4R5czkhkwiUiHUiorpJHNppEZ5xDhd/64ccz5fxLDqV2zDMIp834WyBGRj4pIHEZbXRNvC0848AfgAyKy1RXj14Bnwzgbc9cmTnWNlHk/8OsQxzSXrwJ/GcbCjStDjFZKxSqlYoGPAX8KM+EG4yL4KREpd90NfhYIx8/1IPBVEbGJSCHwSeA3IY4p4ggb8VZK9QN3AZ8AOjFurf5MhdEUUKXUqxidVr8COjDa6+azUwoHfgy8gXERfJLZtYnDhU3AP4vI1Iy/F0IdVITyU+CfMDoAz2PUnP5+KAOah89i9L/UAUeAXyqlngxtSJGHnh6v0Wg0EUjYZN4ajUajWTpavDUajSYC0eKt0Wg0EYgWb41Go4lAtHhrNBpNBKLFW6PRaCIQLd6agCAit4jIxVDHodGsVrR4ayKKMCsRrNGEDC3emkBiEpEfuJyRGkRkr4hEich3RKRdRNpE5CuuOja4HGBmusI0ishuESlyuex8A+gO2bvRaMIILd6aQFKGUSzJDvwCozzp54FdGHXQ9wEPYdT0XowMjEJqOYEIVKOJNLR4awLJIIZLzijwDFAEfBCjHGinUqoR+FsMAV8KjyqlxgIRqEYTaYRTSVjN6qNjRmGxaYzfWy5QO2Odboys2hszk4sJpdTcUqIazQ2Lzrw1gcRb1bNuDHNcN+6mFQAnrt+kq2MyLZDBaTSRjBZvTbD5NfAVEUkTkTXAf+Ntk9xWDA9LgP+I4fyj0Wi8oMVbE2y+gmEwfAXDx/CXSqmnXK99Dvi4iJwFbgFqQhKhRhMB6HreGo1GE4HozFuj0WgiEC3eGo1GE4Fo8dZoNJoIRIu3RqPRRCBavDUajSYC0eKt0Wg0EYgWb41Go4lAtHhrNBpNBKLFW6PRaCKQ/w/c5uNTqpkSkAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,4))\n", + "\n", + "levels = numpy.arange(-.75,.751,0.05)\n", + "ax1 = fig.add_subplot(211)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " t_diffs_latlon_mean.T, \\\n", + " cmap=cmocean.cm.balance, \\\n", + " levels=levels, \\\n", + " extend='both')\n", + "# contour_lines1 = ax1.contour(xx_geopot-4, gg/9.81/1000., \\\n", + "# xkzh3d_400_latlon_mean.T, \\\n", + "# colors='0.1', linewidths=[0.5], \\\n", + "# levels=[1,5])\n", + "ax1.clabel(contour_lines1, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax1.set_ylim(0,3.25)\n", + "#ax.set_xlim(0,240)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([0,1,2,3])\n", + "\n", + "ax2 = fig.add_subplot(212)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-100,101,10)\n", + "contour_plot2 = ax2.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " ri3d_diffs_latlon_mean.T, \\\n", + " cmap=cmocean.cm.balance, \\\n", + " levels=levels, \\\n", + " extend='both')\n", + "# contour_lines2 = ax2.contour(xx_geopot-4, gg/9.81/1000., \\\n", + "# xkzm3d_400_latlon_mean.T, \\\n", + "# colors='0.1', linewidths=[0.5], \\\n", + "# levels=[1,5])\n", + "ax2.clabel(contour_lines3, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_xlabel('hour', fontsize=fontsize)\n", + "ax2.set_ylabel('km', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([0,1,2,3])\n", + "\n", + "ax1.text(s=r'(a) $\\Delta$ $\\theta$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s=r'(b) $\\Delta$ bulk Richardson number (Rig)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "\n", + "ax1.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax1.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax1 = fig.add_axes([ax1pos.x1+0.035, ax1pos.y0, 0.025, ax1pos.height])\n", + "cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "cbar_ax1.tick_params(labelsize=fontsize)\n", + "cbar1.set_label('$\\degree$C', fontsize=fontsize, labelpad=7)\n", + "cbar1.set_ticks([-.75,-.5,-.25,0,.25,.5,.75])\n", + "\n", + "cbar_ax2 = fig.add_axes([ax2pos.x1+0.035, ax2pos.y0, 0.025, ax2pos.height])\n", + "cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "cbar_ax2.tick_params(labelsize=fontsize)\n", + "cbar2.set_label('dimensionless', fontsize=fontsize, labelpad=7)\n", + "cbar2.set_ticks([i for i in range(-100,101,50)])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_theta_and_rig.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 515, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:17:18.358625Z", + "start_time": "2018-08-10T18:17:13.849157Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:37: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:45: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,4))\n", + "\n", + "levels = numpy.arange(0,401,25)\n", + "ax1 = fig.add_subplot(221)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "contour_lines1 = ax1.contour(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", + " colors='0.1', linewidths=[0.5], \\\n", + " levels=[1,5])\n", + "ax1.clabel(contour_lines1, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax1.set_ylim(0,3.25)\n", + "#ax.set_xlim(0,240)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([0,1,2,3])\n", + "\n", + "ax3 = fig.add_subplot(223)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot3 = ax3.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzm3d_400_latlon_mean.T, \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "contour_lines3 = ax3.contour(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzm3d_400_latlon_mean.T, \\\n", + " colors='0.1', linewidths=[0.5], \\\n", + " levels=[1,5])\n", + "ax3.clabel(contour_lines3, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([0,1,2,3])\n", + "ax1.text(s='(a) control K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax3.text(s='(c) control K$_{\\,m}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "\n", + "\n", + "levels = numpy.arange(0,501,20)\n", + "ax2 = fig.add_subplot(222)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " (xkzh3d_diffs_latlon_mean.T/xkzh3d_400_latlon_mean.T)*100., \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([0,1,2,3])\n", + "\n", + "ax4 = fig.add_subplot(224)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot4 = ax4.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " (xkzm3d_diffs_latlon_mean.T/xkzm3d_400_latlon_mean.T)*100., \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "ax4.set_ylim(0,3.25)\n", + "ax4.set_xlim(6,18)\n", + "ax4.set_xlabel('hour', fontsize=fontsize)\n", + "#ax4.set_ylabel('hPa', fontsize=fontsize)\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "ax4.set_yticks([0,1,2,3])\n", + "\n", + "ax2.text(s='(b) $\\Delta$ K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ K$_{\\,m}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax4.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax4.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "fig.tight_layout(h_pad=2, w_pad=8)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.025, ax3pos.y0, 0.0175, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.set_label('m$^{\\,2}$s$^{\\,-1}$', fontsize=fontsize, labelpad=7)\n", + "\n", + "ax2pos = ax2.get_position()\n", + "ax4pos = ax4.get_position()\n", + "cbar_ax4 = fig.add_axes([ax4pos.x1+0.025, ax4pos.y0, 0.0175, ax2pos.y1-ax4pos.y0])\n", + "cbar4 = fig.colorbar(contour_plot4, cax=cbar_ax4)\n", + "cbar_ax4.tick_params(labelsize=fontsize)\n", + "cbar4.set_label('% change', fontsize=fontsize, labelpad=7)\n", + "cbar4.set_ticks([i for i in range(0,501,100)])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_xkzm_xkzh_terms_background_and_percent_change_zcoords.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# figure 11 in manuscript" + ] + }, + { + "cell_type": "code", + "execution_count": 576, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-12T03:16:23.051111Z", + "start_time": "2018-08-12T03:16:19.219537Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:20: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "levels = numpy.arange(0,401,25)\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "contour_lines1 = ax1.contour(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", + " colors='0.1', linewidths=[0.5], \\\n", + " levels=[1,5])\n", + "clabel1 = ax1.clabel(contour_lines1, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([0,1,2,3])\n", + "\n", + "levels = numpy.arange(0,501,20)\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " (xkzh3d_diffs_latlon_mean.T/xkzh3d_400_latlon_mean.T)*100., \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([0,1,2,3])\n", + "ax2.set_ylabel('km', fontsize=fontsize)\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5', label='PBLH cont.')\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--', label='PBLH phys.')\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-.75,.751,0.05)\n", + "contour_plot3 = ax3.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " t_diffs_latlon_mean.T, \\\n", + " cmap=cmocean.cm.balance, \\\n", + " levels=levels, \\\n", + " extend='both')\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([0,1,2,3])\n", + "ax3.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax3.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax1.text(s=r'(a) control K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s=r'(b) $\\Delta$ K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s=r'(c) $\\Delta \\theta$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=1.5)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "cbar_ax1 = fig.add_axes([ax1pos.x1+0.04, ax1pos.y0, 0.035, ax1pos.height])\n", + "cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "cbar_ax1.tick_params(labelsize=fontsize)\n", + "cbar1.set_label('m$^{\\,2}$s$^{\\,-1}$', fontsize=fontsize, labelpad=7)\n", + "cbar1.set_ticks([i for i in range(0,401,100)])\n", + "\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax2 = fig.add_axes([ax2pos.x1+0.04, ax2pos.y0, 0.035, ax2pos.height])\n", + "cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "cbar_ax2.tick_params(labelsize=fontsize)\n", + "cbar2.set_label('% change', fontsize=fontsize, labelpad=7)\n", + "cbar2.set_ticks([i for i in range(0,501,100)])\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.04, ax3pos.y0, 0.035, ax3pos.height])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.set_label('$\\degree$C', fontsize=fontsize, labelpad=7)\n", + "cbar3.set_ticks([i for i in numpy.arange(-0.75,0.751,0.25)])\n", + "\n", + "handles, labels = ax2.get_legend_handles_labels()\n", + "legend = ax2.legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(0.05,0.9), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax2.transAxes, \\\n", + " loc='upper left', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_xkzh_terms_background_and_percent_change_AND_theta_zcoords.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 240, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:37: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:45: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,4))\n", + "\n", + "levels = numpy.arange(0,401,25)\n", + "ax1 = fig.add_subplot(221)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "contour_lines1 = ax1.contour(xx-4, pp/100., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", + " colors='0.1', linewidths=[0.5], \\\n", + " levels=[1,5])\n", + "ax1.clabel(contour_lines1, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax1.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "\n", + "ax3 = fig.add_subplot(223)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " xkzm3d_400_latlon_mean.T, \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "contour_lines3 = ax3.contour(xx-4, pp/100., \\\n", + " xkzm3d_400_latlon_mean.T, \\\n", + " colors='0.1', linewidths=[0.5], \\\n", + " levels=[1,5])\n", + "ax3.clabel(contour_lines3, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s='(a) control K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax3.text(s='(c) control K$_{\\,m}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "\n", + "\n", + "levels = numpy.arange(0,501,20)\n", + "ax2 = fig.add_subplot(222)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " (xkzh3d_diffs_latlon_mean.T/xkzh3d_400_latlon_mean.T)*100., \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "ax2.set_ylim(1013.25,700)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "ax4 = fig.add_subplot(224)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot4 = ax4.contourf(xx-4, pp/100., \\\n", + " (xkzm3d_diffs_latlon_mean.T/xkzm3d_400_latlon_mean.T)*100., \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "ax4.set_ylim(1013.25,700)\n", + "ax4.set_xlim(6,18)\n", + "ax4.set_xlabel('hour', fontsize=fontsize)\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "ax4.set_yticks([700,800,900,1000])\n", + "ax2.text(s='(b) $\\Delta$ K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ K$_{\\,m}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2, w_pad=8)\n", + "\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.025, ax3pos.y0, 0.0175, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.set_label('m$^{\\,2}$s$^{\\,-1}$', fontsize=fontsize, labelpad=7)\n", + "\n", + "\n", + "ax2pos = ax2.get_position()\n", + "ax4pos = ax4.get_position()\n", + "cbar_ax4 = fig.add_axes([ax4pos.x1+0.025, ax4pos.y0, 0.0175, ax2pos.y1-ax4pos.y0])\n", + "cbar4 = fig.colorbar(contour_plot4, cax=cbar_ax4)\n", + "cbar_ax4.tick_params(labelsize=fontsize)\n", + "cbar4.set_label('% change', fontsize=fontsize, labelpad=7)\n", + "cbar4.set_ticks([i for i in range(0,501,100)])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_xkzm_xkzh_terms_background_and_percent_change.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# draw PBLH and DELTA_YSU on these plots (must convert into height, not pressure)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "u winds" + ] + }, + { + "cell_type": "code", + "execution_count": 226, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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NktA9rVNY3pJeCOwUWbQdrp32zrVH5Umk22ra0DlpR5vitcLsadllD8jv6VhE1HmS7gapFmXvGc8b/r2X4u53Cslb0oXA+4CNgHBjkkwHLmlfaJ6QprPttFlsksRdl7STmgK2IvAw0541q1yX9DxRbxgS8Uj7RXBRaWcti9Mv19/tFM28TwIOww3d+iEze4ekjwDtHbFnwGlS2kVnXi+SbReRdrvabUelDU7caT0a8x4qxkWdJKm66rtNlhqKCLqd+3uKUVTeE4E/AstxA0QBXI7rBXl+G+IaaAZB2p3oZBMtkSRJu0xWHRd1VNJ1dkgJm9SFx++kxL10e4ui8r4FJ+uzgW0kvRqYgCufeGqkV8Vdpit7u0kqkUyaO2WEtPPKH1FZx7PpqKwXPLU2M5b5UyeUij167H13nDbi3O0UuRd371FU3u/AdUefAnwI17FmCDijTXENHL0qbUgXdyeFDeWkHX2gmJVVQ7qs716+KTOeeTO2yZV7EqHww/O2MxsvIu267s1ub7feaxSSt5mtwMkb4GFgdrsCGjS8tOshq0QSlkcm7PHCYYGkZdbxEkiarDc/sT4znrE7b58r95B5M7ZJPGdc4lBfNt5JabfreINOprwl7Qd8HTey3wLglMg4I54WaPeN3IS4s0b5q0JSV/V4i5My0t7AVmmHAswqgaTJertla4aHw9SyrUPM28zJW3detgaAjTN3GHUNY3ceObJxXPKhzKPx1JWNNyFtT3vIy7yvAP4HN2DUCcBXgZe3O6h+p9fFncac8eNqy7rzxhgpWyKJSrtIGSQps94uEDKMlHbSslDk0X1CkUePHRd5GEc8G89j0co/5grci7u/yJP3fOCVZrZJ0j8AT3Qgpr6lV6QN+eKeNWtr9j172tbsOxR4leFSk0gaEKpqpl1V2iGhfLdbtmZYzqmZd2yfKEnChtHlExj9wDM+wFORjLvow0gv7t4iT95DZrYJwMzWSfLd6SvQiQ9FJ8UdkifwomR1vEnqxl5U2vHSSFZZBPLr2CFJEo+vi5ImaygmbKgmbfDi7me8jNtMr4k7SpFSSVGBF+0ZmTbUalppBMpLG8o9fEwjSdQhZbLrkDqlDb75X7+Tm3lL+o/gdwHbRl4DYGava0tkPU43SBuqZ9xlyBJ4Hnmj+RWpZ99ZoDQC1TPtoiQJu6ysIXns67oz7Si9lHWPHztUyxg3/UCevE+Kvf4uWzvmCN9JZxRN17WjFBmTJCRrCNcihMJ9/PGtQo531smaVT1psKikHpF5DyHzhA31SruMsPM67LS7NJJEL4nbM5JMeZvZlQCSXozrBj8nsk8o76vaGWCv0PTgUXE6Ke4o8Sw8b9so0Swbyj2EzOs8084su4qss2aWqaPVSBG8uHubojXvbwPXAOfhZnj3RGh6qNY4RcWdVCZpRdwhUYEnrYtTRz27TElku2VrMuvVWWRJu6qsQ7KkXXf92ou79ykq75nABWa2sZ3B9Brt+ABUFXZI3pjbIe0Sd0hU4HnChvTSyJ0JnWrKNvOLtrWOLisj8DRpl6lbR+lUdu3pX4rK+0rcOCaX1nlySafhut3vCPxbcI5NwXlOBtYC55vZ5cH2e+Bmj58P3Am808wW1hlTEeqWdqvCDukWcYcUlXY0y4b8enaWsJNEHUfLnsVmTh7etmirkTRptypq6KysfdbdH+R1j1+Iq2sPAc+X9HFcR53hv76Z7VflxJJeAnwceHVwzOuAvwUeA47GdcmfCvxC0m/N7A5cff0m4HXAe3GlnIOqnL8qdd74dUkbiom7U9JOotXSSCjsqrJOWhbtBRkXeCvS7jZZR/Hi7h/yMu9T23juNwDfMbN7ACR9HvdQdAXwWTN7FHhU0jXAsZJWAgcDR5vZRkmXAh+TtI+ZLWpjnLXTaWlD9WaAVUmaraZKaSRN2iFJWXNc6PGONFFxx4+RJO1eF3aUDUPyAu8T8lqb3NTGc2+LK4uECNgD2AW4I7L8HlwmfiCwMKy7m9lzkhYBewEdkXcdN307SyRQXtw7zR7bcvadNFkvlCuNQLa0y9Sos7YLe0XmCRvypd2rdesiQ7N6wXc/Tfaw/G/gnyV9BVgDfABXnpkERL/nrg6WxZdH141C0inAKQCzZ+9aa+BVacfDyChVO92UFXiarCE5y4by9eyotENaaSUSEu4/aMIuix97u/tpTN5m9iNJBwO/Av4EXI/LvMcD0Z4P44GngWdiy6Prko5/BW5URA4+6IBKaUS31LfLShvKl0myBJ4l65Asaee1z84aejVOqwLPk/YgC9vTWzQmb0l7Aj8wswuC1ycBs4BdgXm4+THBPbj8PXAfsK+kMUHJZAzwAlyrk9ropuZ/VaQN1evbRSQdpUiWXeQhJORLO+8BYx6htItm2Z0Udvye81mvpwhNlk3mA+dLegVuerVzgfcBzwc+LOmm4PfjgCPM7AFJi4GzJF2Ga2J4d/BgszLd1J0d8oUN9Uu7DGWEDdn1bMhvPRJtKVJW4GUfPrZL2GXvMS9zTxGalPd1uIkd7gU2A58ysxsl/RLYH1iCK5WcGZm95wRcO+8LgFtxc2uWplMPY+oYhyQka/Q/aL+4i0gb6pM2VGviB53NsjtxL3mZe5Josub9HK5Tzhmx5VuA04Of+D6LgcOrnrOTT9CLiruVTDukXeJuJcuGYp1q0kgSdxZla9mtZtlNtsaIntuLfHAZmPG8u1HcRei0uENhQ/EWI5A8dnYZaccz6O0KbltnaaTpDLsK47aYF/iAMjDy7hSdLJXUSV1ZNrRnooNoiaRKM780afeisD0e8PJujDrE3WrWHRc2lKtlQ/3STmPjzB0q9X5Mkna/CbsXsu/w/mmV7bfNH2qYJbWcqusZCHmrQ5/HOuvc7aKIsKEeadfRqabOzjRp0u5FYcdpWuB1ydlTnIGQdyfo5ANKKJd11yVsKJ5ph61HiozcF6fo8KutSLsfhN1pvKC7Cy/vGui0uItQVdhQj7Rha4uRvOFX41OJlRU2eGlD+7JvL+3uxMu7RVqdBDjOuN13qSzwLGHD6Do2jM6yoZi0Q8buvP0IgW+cucOwqOOj+RUddhXqzbJD+lncIeE1dnsN3NM6Xt4VaWd9OyrfJDY88tiIJn1J+5XNsqGctKNEJbz5ifXDkk7KtrOybGiPtGEwxB3FS7z/8fKuQN3Zdlmy5N5JaScRyjkq8ejykLLSriLskEETd5SmH2R62oeXd0nqEndYGsnLsvOIlkUguzQC7ZN2nLisodiEvXVKGwZb3HWx94zn+bp3F+LlXYB2PpDc8MhjhQUeF3VIUpYNzUg7iTqkXWVQKC9uh8+++xMv7xzq7OpehiKijlJW2nUSl3MSVcoiIX687NZpdTyU8G/gM/Duwcu7RtKEC1uz8rQsu4yskz58VYUdSnXBU2uHJXz38k2FhJx2rCTKDgwV4sVdP62I3Eu8e/DyzqDOrDtL7CFFsuqQ+Ien1Qw7SeLxdUVIa4cNxYUd4sXdfqqKPPq38SJvBi/vFNpdLmlF1DBS1iF1lEXKZM9ZlBV1HC/uztOqyL3EO4uXd42kCTmLVmQdUkbaZQQcp1UhezpHNPmocl8mPezNE7pvldJZvLxTqHLDJ5F3w5cVdRJVhexl3B/kfUss8i2yyP1eJDP3WXjn8PKuSJmvlVk3cllRJ9GKhIuWJ/yHsXtoR0mvrODzRO4l3n68vGNUaUaVd4N2WtDtqBdnHbPuD6ivdydT95AMRR6iJ50/nqVndcX3pZT2MXDybrWzQpUbMSreLJE3Leiq1PkBrfO6Ngypbzrq5Im7ynAMZfcJZZ9WT0+TeJ1Z+LhxMGtWy4fpCzomb0k3A+eY2W8kCbgUOBlYC5xvZpcH2+2BmyF+PnAn8E4zWxisewdwETAJuBp4v5ltzju3qby025UtVClxdJOo28mgXGdZssTdyYk9wnNFM/akbDxL4j4Lr4+2y1vSMcAbgZdGFp8EHA3sB0wFfiHpt2Z2B3AVcBPwOuC9wDXAQZL2Bv4F+P+AB4B/x808/895MQyN3ZYdp+9eKu7DS24/6Pj3q31sv/Oc9JUvfl3nAinJ6NFt/H1SJ2M6cI6X4v6TWBNZdjzwWTN71Mzuwgn6WEm7AwfjMvFVuOx8rqR9gLcD15nZ/5rZcuCfgLd1IH6Px+PpOtoubzP7hJm9G1gZWXwAcEfk9T3AXsCBwEIz2xjs+xywKFiXto/H4/EMHJ3IvJOYBDwbeb06WBZfnrUuXO7xeDwDR1PyfoaRJbHxwNMJy7PWhcsTkXSKpNsk3fbkk0/WErTH4/F0C03JexEwL/J6P+D3wH3AvpLGAAT/vgDX6iRtn0TM7AozO9TMDp0+fXrN4Xs8Hk+zNCXvq4EPS5oq6XDgOOD7ZvYAsBg4S9L2wCeAu83sUeC7wNsl7Sdpl2DddxqK3+PxeBqlKXl/Bfg/YAlwLXCmmd0frDsB+GvgKeAo4EQAM7sH+BhwI3Av8HPgys6G7fF4PN1BxzrpmNncyO9bgNODn/h2i4HDU47xFZz4S7FgwYI1kjrXm6E404D2TG/TGj6ucvi4ylGuX74nkUHpHn+fmR3adBBxJN3m4yqOj6sc3RxX0zH0A02VTTwej6cxJB0j6X5JayV9T9LEjG1vlvSiTsZXBC9vj8czUEjaEder+xxgNiDggoTtjpF0OSOH9ugaBkXeVzQdQAo+rnL4uMrh40rm9cDtZna9mT0NXEzyUBtJQ3t0DQNR8zazpm+WRHxc5fBxlcPHlUp8qI27gZmSdjCzYVGb2ScAJB3d4fgKMSiZt8fjGRymhb2rg59TYutHDLURjKW0mR4bbqOv5S1pT0m/DB5K3CvpFU3HBCDpHElLJa0J4tun4XiGH8jI8TlJz0p6TNKpXRLXeEnflLRK0hOSPi9pm6bjii3/lKSfNhFTcP4RcUk6XtLDwd/yB5KmdENskqZLuj6I68ngbzlU5Djbbi92mj028wdYEfauDn7imf6IoTYkbYurQqQOt9GN9LW8ge/hOvPMAD6D69nZKEGP0rOAI4GdgN8CX2oolqQHMtGx1o8BLpR0cBfEdS6wTxDXQcCfAad1QVzhuoOBszsZT+Tco+KSdBDwOdxQyrOBbYGPdENswPk4ge6M+1sehetl3SniQ23sC9xvZus7GEPL9K28JR2C66RwgZmtNbMrgbcW/R++jWwBjK3PG4ZwvUmboPBY610Q16uBS8xsqZk9AXwN96FvOi6CbwBfobkHcUlxnQRcbma/NrPVwLtwE510Q2ybce4Zg2vp0enPwPXAkZKODFqefJoeHGqjb+WNm0btfuBKSSsk3Qr8Kejd2RhmdhtwA24Mlw247PHvGoqlzFjrTcf1buA/I68PBR7rgrgAPoobtuH2TsYTkhLXfGCMpNslrcB982x9Jux6YjsfeCVO6H8EHgV+3MGYVuKG3bgqOP9y4CJJJ0h6oFNxtEo/y3saLjP7GbAb8A3geknjmgxK0lG4aeEOASYC36QLyjkRunLcdDO7x8xWS5og6QvAm3BCahRJ83DfTD7ZcChxpgFvAd4K7A3sjpNmN/A5XLlwCq4UNocOl8DM7IdmtoeZ7WBm7zKzjWZ2lZmNSlTMbK6Z/aaT8RWhn+UNcJeZXW1m683sS8A2ND+uwhuAb5nZHUGzpHOBQyVNbTiukFLjpncSSa8CFgJ7AoeY2UMNxzMG+DpwRpfWS//VzB4ws6dwwnxV0wEFvAH4pJk9a2b3AV/APV/xlKCf23k/jJM14FpR4P6zavpDtg5X4wvZjKuDNx1XSPgwJxzlMXPc9E4RTGT9XeBUM/u3puMJmIibc/Un7vZiCFeqeMLMdm40stj9T3fc+yHrYq83AWubCKSX6efM+6fALpLeHYwNfgZuCNr7s3drOz8Cjpd0SBDXJ4GfdlHmljjWesMxAZwHfKiLxE2QOW5jZuPMbBzwHuC/ukDc4P6jO03SPsG3urOAbnnvfgicJ2mKpDnA+4DrGo6p5+hbeQfdXl8DvBdYhvuq9hYzs4bjuhn3gOt7wBO4mt/JTcYUI2us9SY5APiqpM2RnxubDqqL+SbwZbaOf38r8MUmA4pwFu5Zyh+AW4BrzOzaZkPqPdSwyzwej6cQkua+co+5D11yTHZv9UMYqfDRAAAgAElEQVQv/+rtZja/M1E1R99m3h6Px9PPeHl7PB5PD+Ll7fF4PD2Il7fH4/H0IF7eHo/H04N4eXs8Hk8P0s89LD0eT5+xzfhtmDS3sWHJuwqfeXs8Hk8P4uXt8Xg8PYiXt8fj8fQgAydvSR+UdKykRSnr3yPp+Daef66kDQW3PV3SuVn7SzJJqQMhRa73bEkPBPP1hesk6XeSPhu8nhPMdbgy+LkhOr9mcK65seO/U9IvU86dGVsZyrxvJY/7ckl3t7B/W+8XjyeNgZK3pEnACcCKjM2uAs4MRvzLO97Fkp5T+yYQfj1uBLZKRK73WuDzuCFBPxDZ5HhgFlsH6f8+sAA3ecVewO+A/5TUtw+2zewmM5uXv2Uqhe8Xj6dOBkreuCE7r8eNnz1W0hclPSVpQTBhK2a2EfgFbg7AVIIP6wm4GXo+kLPteyQtk7QSN/wlkl4Rzf4TXk8EdjOze5L2D7YJM8alkmamXa+ZbTGzzcDpwMckTQvi/zRumNU1ksYDhwFfMLN1Zva0mV0I/BpIOnYm8dgkHSXpTklrJH0vnHwiuO7fyc0g/qSkRZL+LO19ixy/yvH+Ini9StK1cjPSx9/3xOMG6y4KvpE8EfzHPabo/eLx1M2gyfvNuNnkAZ4HPISbWfs64LtyM6MQbPNXOcc6HvehPQ/4G7mJTEchaS/gkuDcz8NNblCE1wI/y9o/kjHONrNlCceIXi9m9j+4TP6TwIeBe8OhOM1sHW6+yuskvV3SrsHyY83s0YIxDxONDTcpwHeAU4PX64FLI5sfhpvHcDfceOefybpuSbMrHG8ucCVufPJdgKnAh6IxZx1X0itw09ftiZvx/E24vxEUu188nloZGHkHYj4MJyiAx83s0kBalwC74j6YAHcCL8k55PuBL5nZUtzEuO9O2e5Y4Fozu8XMnqH4PIJ/iZuouNL+Cdcbcg7wNpy43h9bdzRuEt2PAo9IWizp1AKnyxtX+DjcNfxvcA3n4cZXD3kSNzP8BpxsdyP7uqsc723ADWa2IJh+7nRcWahMnDNxs9ivws1BGv7HWOR+8XhqZWDkDeyEu95wct3HwxVmtgn3gd8pWPQUMCGoGY9Cbi5FM7NfBYv+BThD0lDC5rOBRyKv02Y8H/5bBMd5MXBzif3jxK8XXNDLcKWeH5nZ4sg5BSw3s4+Y2QHAjsA/4LLWVwSbxadwI3idN4XVHOAUSRuCh46LgInaOhn0U5FJMjbgOo9lXXeV4+0OPBh5Hxaa2X8VjdPMfgmciSuRLcPNOBR+28q8XzyedjBI8g4fuin4d1a4Qq4Fxkzgj8Gi52L/xvkAcFn4wsxuwT0EfWPCtstw4ggJf3+Oke//jMjvRwC3BnXqtP3ziF9vlLWMnkfwGCKZqJmtMrOrcd8qDgwWL8HNRB5lz2B5FsuBz0WmC5sMHB5kxmlkXXeV460kUruX9OKEViKpx5V0IHC7mb0Ml8kbcHawX9794vHUziDJ+0lcFhZmS7MkvU/SdrhSwm1mFmZ3U4H1wdfrEUjaA3gZLvOK8gVcZhbnOuDNgSymAB8Lli8Fdpc0Pci0T4zs83pcySRr/5AtwLQC15vH/wI7Szo3iGkHSa8FXhmsA7gG+EdJL5Q0NvgGcipuvsQkwtiuA94maV9JE3B15I/mxJN13VWO9+/AWyXtL2kn4J+AcbFtso57GPA1SbNw4h6He48h437xeNrFwMg7yGJ/B+wfLFoAHAk8g8uYT4lsPg/XyiKJM4AJwH2SloY/wEXAEZIOjZ33LlyGdi1wH/CzYPmDwMXAb4DfArdFdnst8JOs/SPcACyQND3nejMxs1W47PtIXLngUZy43mlmtwabXRyc7z9x2fsXcXNc3pxy2Btw7/MTwLm4+vNyXHnitJx4Uq87WFf2eHcAfwf8GFiMe9+/nnDOtONehXt+cDduZvYncf9hQ/b94vG0hYGaw1LSh4HJZvaJnO0uApaa2WVZ23U7Ra/X0xr9cr90O5LmvuaFz3/oi+/Ibtiz97n/6Oew7EO+CvyFMjqdSNoGl/l+o2NRtY/c6/W0Rp/dL54eYqDkHTT/+ldcs7E0jgMuD5oQ9jQFr9fTGn1zv3h6i8YyMkkfBz4eWzwEvAvXieIjwbLLzOy8YJ+pwLeBl+Pqju8NWnoUxswuz1n/zTLH63byrtfTGv12v3h6h8bkHXS9vjB8Lekw3AOkp3EPxo7ENWe7UdIdZnY9bnyO5bgONX8OXCtpdzP7U6fj93g8nWdo/DjG7b5L02F0BV1RNglqslfier29Bfc1dKGZLQG+jGu+tV2w7uNm9oyZXYN74v+qpuL2eDyepugKeePaCi8Jxt44ALgjsu4e3Ah3ewNrgu7o8XUej8czUDTeCiEYg+Ns4K3BokmM7NK9OlgWXx5dl3TcUwjabk8YP37+3ns9b3idJfU5bBENTovL0rTj/c7C/y26mzvuvGuFmU3P39KTRePyBv4CN6ZG2BHkGSA6NvJ4XB08vjy6bhRmdgVwBcAhBx5gv/rZ1mGxNwzVb5NxW7wx0mjH+52F/1t0N+Nnzc0bTsFTgG4om7wLNwlAyCJcj7WQ/YDf41qX7BgdXzmyrhT+w91ZOvl++7+tZ1BoVN7BSHYvA26MLL4aOE3SrpJegBsv5DtmthbX3fqTkraXdDIwEde1vDT+Q95/+L+pZ5BoumwyD1cKuTNcYGY/lXQVcBewGbg4GI4T4IPAt3BDcC4C3mJmW6qefNwW6/hXeo/H46mDRuUdDAQ0PmH5BcAFCcuXAa+pMwYv8P7AZ92eQaPpzNszIHi5ejz1MtDyrjPj3jAkLyjPCNY+FJ+Brj1M2OOFHTmPp7sYOHn7Ekk24fvj/yNKp1NSLkpePF7u/cnAyNtLO5/oe+S/SWylLlmvf/i+yvtuP/cFlfcN4/cS7y8GQt6d6uHXy8JL+s+tl6+nFcrIuhUhl6HKeeLC9xLvLwZC3p5sBv1bSZXMulVpb3jksfyNoKUR9MIYvcT7Ey/vASdP3P2YfbdSBolLu6iEq1Lk+HmC9xLvT7y8a6aXZFc04+6la8qjriy7DmmveviZzPWT5k4pdJysWKJiX//wfYm1cy/x9iDpZ8C+wBIg/AAJMDN7WavH9/IeUMqWSnpd4J2Sdp6Qy5B2rKJSh63xhhJPy8KhNyQ+ZsLElh7edpg/x/UeP9rMNtZ9cC/vAaRqjbtXBV5W3EWlXYeoVy7dnLh8p9npH82s86aJfcMjj43KwqF3Jd4LmNlzkt7aDnGDl3db6GbJtfpwspuvLU7T0k4Tc9V9s4QeEo8tKvN4Fg75EvcCbw0zu7ddx/byHiDqalXSCwJvtblfUWm3IuiQxx8fvWzWrNHLWsnSi0g8Kwv3tI6kvzez8+s6npf3gFB3c8BuFXg3SjtJzlX2SRJ6WixxoadJvGgW7qmFowEv726n2+QWjaUVkXfTNUVpRdp1CLuKoOMsXQGzp6Wvj58jTeawNdYkiVfNwj3dhZf3ANKtAi5DUVlXza7TRJ0m6VCkrUg8S9xp5ytL0gPNVjoCeUpR69dfL+820m3Zdy9TRNZpvR7jsi6aVVcRcZ5U23HMkKzadxFpp2Xb/qFlbfxHnQfz8vZ0NWnSzuueniXsukQd37+IZKtmzEkUaX0Sl3ZSlp0kbS/s+jGzi+o8npd3m/HZd3Wi4i4ra0gvhdRRn+40RUQN6e28vbT7Dy/vHib64LGf/oOIZ9tlejpm1a6j0l66ooUAY4S16qLZdx6tijpKkdJInrAHfeCybsXLuwPUnX3384cpK9suKmxIlnadwo6S10qkKGVr1kmkPXwsK+1+vseaQtIYYAFwaCsTp4c0Km9J5+BmhJ8C3AacCtwHXAqcDKwFzjezy4Pt98DNHj8fN2bAO81sYQOhl6YOgffzByor267alC8u7SXrNuTGMWf8uNxtsqiafcfFXSWrTiIubS/s5gi6yy8A3gNc3urxGpO3pMOBs4CXAI/hGq9/Cbga15h9P2Aq8AtJvzWzO4CrgJuA1wHvBa4BDup89J2l3z9Uadl2kVYiUE7aD25aPmr/PbeZMfx7muDzpN5K9h0Vd5a0q8g6JE3aRe6txcv/kLuNpzAHAO+S9PdAeEOHIw3uV+ZATWbeW3DDJIYxDAFPAccDnzWzR4FHJV0DHCtpJXAwwQhdki4FPiZpHzNb1ED8pSmbfQ+qtGGkuMtk2TBa2lFhP7tl9ahjPRj5PSryKEWkHgq8TPadJu6iba/zOtMkSTvvvvKybivnpCwv/bW8MXmb2W2SbgAWB4vW47LoXwN3RDa9B5eJHwgsDEfoCr6CLAL2AnpC3kXpd2lDtWw7r4lfWWknrSsi8ijhuaqUW0JxF5V2kV6PVTNsL+yOcTnpou6NzFvSUcAbgUOA+4HP4komk4BnI5uuDpbFl0fXJR3/FOAUgNmzd60z9JbIyr4HWdqQnW1XybSzhJ1GKyIPYymSfRcRdyuyDsm6p4oKe9HKPxbargj77LRbbcfqUU6N/D4GmAGcCNxa9kBNlk3eAHwrqGUj6VycnDcD20e2Gw88jasPbR87RrhuFGZ2BXAFwMEHHdBV7ejiAh8EaUM92Xa7pJ1EGZEvWbehcPadJe4qZZAo3Sbruo89dvyknm6LbmY3xZdJuhZXcTivzLGalPc6XJ07ZDOuDv5/wDxcNg7uq8Tvca1Q9pU0JiiZjAFegGt10rMMgrirZNtNSjuJMiLPyr7LirvVNthFhN1OWXsKMQXXOKMUTcr7R8D3JX0HWAh8EvhpsPzDkm4Cng8cBxxhZg9IWgycJeky4CPA3cGDzZ6jTml3awedos3/qnSs6aS44zy7ZTWThyYOn79oSaWIuDsha/DCbgpJCxlZ8x4D7A5cXPZYTT6wvFnSR4HvAdNxTQBPBlYA++Mm7XwGONPMwiz8BFw77wtwNaJ3dDrubqLbpF1kHJJWpR0yXKJY58QZZsPtlHgobBiZcUfLJWFzwTDjTmpNkpRpd/pBY1Lt2Qu9I5wae/0csNTMHip7oEY76ZjZN4BvJKw6PfiJb78YOLzdcfUC3SLurNH+qtS1szLtpJpyuGwOuw9vB61n5EVEDSPbdseFXSXDbrJViBd6+wlr3pJm4B5WPmJmq6ocy3eP70GaFHfZoVmrSBuSO9gUeSgYlfmSdRtgmxm5TQZbEXVIXNjRliNZwu72Jny+dUi9SJrN1s6Fq4CdJP0HcJqZPVHmWF7ePURT0q468UErDyMhub0262YUbtWRmJVHZN6qqCH/wWNc2N0ua0/b+RKuRPxKM9ssaTLued/XcT3HC+Pl3SN0UtytzrreDmlHHxJWJS5zGN2lPSrqvPFGimTXabL2kh5YjgT+xsw2A5jZs5I+ASwre6DC8pb0QmCnyKLtcO20dy57Uk9xBlHakFyzfnbLavdgskT2ncTsacWzacjvPBMVdpKse1nUe894Xq3H6+X3oib+iBtYL9reex5QepT5QvKWdCHwPmAjwSAquBYil5Q9oac4nRJ3u6QN5Zr9Qf6Dxme3rIaCTfOSCMVdpYdjWlYdRp8npjIP/5quNdct7XYft4c4B/hBMDTIA8Bs4K+BD5Q9UNHM+yTgMFxj8g+Z2TskfQRobfxMTyrdKO688bWrtCAJKToOyfC2FbLv2dNg3mFjmTR3SmLJI6SKpOtulREer9MST5Jr0r04CJ3L2oGZ/UzSwcDbgDm4cskrzax0Z8Oi8p6IS/eX4waIAjfAyv24oVw9NdEL0oZiJZKsttplB4+KEpZPorXrLKLZdiju7ee+oLSkkwS98On6Z3jYd8ethfhOSDwtG866F8vep172WzGzJcBnWj1OUXnfgpP12cA2kl4NTKDCMIaedLpJ3EVmYi/b7A/KlUjyKNJ0MCruGS/bb1jaG4bEBqoJesFTayvFm8b8qRNSzxeKvB0SryLtqnRLv4QQSccAXwR2AX4MnGxmq8tuU+G8L8IlvHOJ+dfM9ixzrKLyfgeuO/oU4EO4jjVDwBllTuZJpl+kDfXUtYtQJPs+bP/R2fbQXvO4c/kfRkm6iKDvXr5p1LLNT6xn7M7x8dJGMm/GNpnr4+eKyjyMq06Jl5F23j3Ti4NESdoR19b6JNyDwytwvbbPLLNNRa4OjvtJ3FhOlSkkbzNbgZM3wMO4IrunBrpd3E3VtYuSlH3HyyQ7vuyVw9n24kDcC59eUUrQcbZbtgYIRlYLft84c4cR24RSTzpmnKjgw7jqlnid0i6zXRcK/vXA7WZ2PYCki3GZ9Zklt6nCTOCCcF6CVsiUt6T9cI3H98NNnHlKZJwRT4t0QtydLJF0UtrhseJNB0Nx7/HSaSNq2xuGxA0Lfzks7ahQs+QMW4e+1LL4cPIjGRest5mT3YIcqUeJxhOKPPqfSyjyKhJvVdrh/VFkfPEkyrZm6gAHMHLCl7uBmZJ2MLM1JbapwpW4isWlLRwDyM+8rwD+Bzdg1AnAV4GXt3rSQafbs22oT9ydJK9MEor7/+5clSjnOEmy3vx4tsDHzpo8Yj+bOXnEuTbO3GHEfxZpIs8rtRSlzrr2+ofvqyzwDjNN0m2R11cE4/uHTMINfAdAMK3i5mD5mhLbFCYymuAQ8HxJHweeIPLcsO45LOfjmrFskvQPwck8FekmaUO6uOsiHC51xJCpkd9bycgnD01kz21mcMTu40a1JJn2yjdtLZEE2faVi55h8xPr2W7ZGrYreI7hDDpAy55l7KzJKVun71ck84bRtfH4g0wY2RIFqtW+y96H3STsLSrUcmWFmR2asX7ExC6StsW58OmS25QhPppgy+TJe8jMNgGY2TpJvjt9Bbqtl2RVaVcZZztrvOs0qUf3h5Finzw0kVdO3j2zrh3NtKPSTsuwi5Ik87R1VYUNo6UdFzYUk3aVDjET9nhhN5Y56mYRrqYdsi9wv5mtL7lNYZJm0GkVL+M20+vZdtLM7VHyJkioOh5JktjnjB9XSNrf/sMS7l6+qTZpp1FF2FnlkDxpF82ys6Rd5H4cAIFfD1wi6UhcLfvTwHcqbNMouZl3MFwhuG7x20ZeA2BmpUbCGhS6LduG+sok8XbckD6OdvhQsehsM0nEpR1vr33n8j/wgwfuGH4Q2W5pR2lF2EllEagm7bq7nfezwM1spaQTgatww3x8H7hI0gnA35vZXmnbNBZ0AnnyPin2+rtsLbAL30lnFP0g7XjzQBjdnhs6M5dktKYdl/b3Yq1Hikhb8RYhFYlKOy7ssrKGaqWRssIue2/2ucB/CPwwtviq4Cdrm64hU95mdiWApBfjegXNiewTyvuq5L0Hi073IGvqoWSYdSdNTQbJ4q4ymFSatO9c+SCLFt80QtpDv3+SIZJbjeQ17ytLKO0iwi6aWcdJk7Yf1MkTpWjN+9u4XkHn0WKvoH6kG7NtaF3cYb07KesOiWbdWRl30Yl654wfN9zkL0vaYXO/uLCLylrLni2VfSdJu0jrEKgua6hP2FXv0X7OvtuNpJ/hHnQuIVaxMLOXtXr8ovKurVdQP9Gt2Ta0pxlgPOtOnOmmIlFpxx9Efi+juV/dmXWcPGkXaRkSpYn6dav3adEekl7yo/hz4E7g6Ha4s6i8a+sVFEXSabhu9zsC/xacY1NwnpOBtcD5ZnZ5sP0euNnj5+PelHea2cI6YyrCoEkb8sWdV+dOK52EDyPDoVqTpB3NtMfWKOus7LuotLNkXUfrkF6iC7vBN4qZPSfpre1KevO6x9feKyhy7JcAHwdeHRzzOuBvgceAo3Fd8qcCv5D0WzO7A1dfvwk319t72TqRZ0foZmlDveLOKplUfUAZLZ3EpR3tXBNtPRJKe9yyZ3N7N5YhrbNNVWk3kVEXodtG8xs0zOzedh07L/OuvVdQhDcA3zGzewAkfR73UHQF8FkzexR4VNI1wLGSVgIHE3wFkXQp8DFJ+5jZoqwTyVq/iTs9HnET4g5bmeS17W6FaLO/cPyRJGmHDyLHLXuWjfc/Wfl8QztsO+J1KO1oxh0VdviBCIUdLYtEhV23rL1k+x9Jf29mtc1/kNfapPZeQRG2xZVFQgTsgRs7NzogzD24TPxAYGH4FST4SrII2AvXG6qtdFtnmyitiDtr1EDYOl3YTsE4kvOAlUvH8fjjcAS7J5ZR4pl4vCt7dNCo6Ngj8c41ajHbThK3zZw8qplfXcIuKmsv6oHlaGqcvKbJHpb/DfyzpK/gBnr5AK48MwmIfmJXB8viy6PrRiHpFOAUgN123bXWwNtB1Yc9VcWdNe9kHjvNHhuT+WYOwwl9zgo3vnZ0cKrMZn8LfzlK2mFde/Pjz7JlzZ9KX1uatA2XZSeVRKoI28va0ySNydvMfhTM5fYr4E+47qh7AOOJDAgTvH6a2EAxsXVJx78CNyoihxx4QFd/ejop7qKTKkRnU88jmp3HZZ7UlT3a7C9sQQKMyrZbFXe0RBItjVQVtpe1p0Vqrb02Jm9JewI/MLMLgtcnAbOAXXEOCMcN3w/4PXAfsK+kMUHJZAzwAlyrk56klaZVrfSaLDZ92eZSAo8SlXlWsz9gONsGahN3UWnnCbtTsu7H2Wo8ifxH/ibFabJsMh84X9IrcNOrnQu8D3g+8GFJNwW/HwccYWYPSFoMnCXpMlwTw7uDB5s9RavtYYuKO6s0kjVC4Oxp4bLyAp80dwrAqIkQkrqyw9ZsG6hN3OHDyGiJZN6MbZg/dcKwsOOyLiLqViTdyt+8zL5e9N2LmdU6NkqT8r4ON7HDvcBm4FNmdqOkXwL743olPQOcGZm95wRcO+8LgFtxc2v2DHV0Yigi7lZndi8r8LCpHzBC2EDioFHAiGwbqos7LdsOH0SG0gaXaYfSzpN1FVF3QyeVrBi82PuLJmvez+E65ZwRW74FOD34ie+zGDi8IwHWSKdq2nXON8mKcakCj2fXwIg5Iln54IiZa6LShnRxl2Voh21rkXavirosSTH3mtDXbFzr7jGPH8+73aR9yOvuCZk0EuCkuVOGBb7T7LHDAp81a6vAZ0/bKvD4RL7htqG4o9OLQbawgcRMG7KlHW8pAiOz8biwN0Rq2gdFatrx8khU2oMi6yKkXVevSb2XkPRa4Oe4nuVnA08CXzCzUvMHenm3iU5JG5LFHRJmye539++qh58Zbuq3culmZs1yv0cz8iLSvjPIgNKkHe/O3kqGDclN/rKybBidaRcVd7/Kuij9kKV3I5IuAt4IHAJcHizeH3gh8M4yx/Lyrpms2bdDsmTbCeJC35qdO5nXKe1Wu7RnZdlpwoby0h50WRchfI+8xFviRNyQHgYcBczGNSF8sOyBBkLe1oGe7WWlHa1HR2XaBEnZeSvSjj98TCqF5JGUZWeVRaBcPbubZJ30baybJv2N4yXeEtsC63DjM91hZqsk7UyFiW0GQt6QPzZJnc3Aoh/GvO7nacuSaKfkw9YiQCFp3718E0CmtEPKSDyUditZ9vA1JfxNu0HaRUpn4Ta9IHHwIi/BV3At5WYAZ0qaB3wN+P/LHmhg5J1HFblHb96iWTZkT24A6b0bsyRfVOxRScNoOYQfwjqkHSdN4vHSSLyWnSRs6B1pt/KcI7pvL4jcSzwbM/uopJ8Gv98k6QBcT/DSM5J5eedQJSMvIu6w63gS0bpzUVY9/MwogSdl0yHxD1n4n9cGGG6KlSXtcAYbmzmZsZSvbUc704TCnpdQFoHivR+7pUTSrjHVO52NVynnrH3oHi/wHKID/pnZnVTsJe7lnUARYadl3WU6yIT/Jkm8jMCj0i6aWcPobxuLg9H9gNTekEnzRNrMyQzNnMwQW7u4x7PwsIlf2B57M1u7rJcZY6RMtt0p2iXrvPPVLfGi5Zxu/gYwSHh5B9Tx4c8Td1LnmLAjTFoWnke0w0yUotKOCxsoNRt7nLjIw2UbZ+4AQVf1gzKEDeUHhsr629WZdXda0nm0KvGq15N3Xp99d4aBlXddmVrSByBL3Eld0aNEJZ6Vfadl29EPVBVhw+jSSBU2ztwBEsohIUnTh1UZza9OcXebnItSJhuuMi5OlOi9liVxL/B0JE3EzQs8Jro86EFemIGSd13CTpJCfBaapDJJfOKCkDnjx8XGE9kq8SSBJ2XbSdIuK2xIL40kEZ/UICRtgt60+R6rjJndSrvtXpV0FmkibVXWadsVkbgX+GgkfRj4FG5ugmjd0nAtUAozEPKuYxq0qowcZjWbUOBp5GXbcWknCTskbKMNJHZhDykr6CTqlHYRuqE5YFO0Oh5OnPgD9/AeTJO4F3gu5wAH5k3dWISBkHfdRG/GpBtz7UP3MAd3M+9LUla+dQyRtAGfQtLKIHE2DCmxpUgaoXDnTwX2mRJk4fG5LhjuGBPdJ4+sGdWhvunEPNXJknZaC6mdZo8dXpcm8aQs3At8BMuA9blbFcDLuw2EN2raDRvPDNOa7cWJyjmJtCy7CPOnTnAiTyBPxkWpa9JeP1NNddKkXaQvQisS9wIf5mPATZKuBVZFV5SdnNjLuwPEa89M2n5YtG5h6/M8lxV2mQeGwMh4S1JE2uAz7naSJO08YaeX/KLbjRzmIUniXuAj+DvgCWAiUOyrbApe3i0SrS+HJGXA0XFAYGudOVpHTiJaW45TtfUG5IsynuEXFXBVvLjbR94QDelT4Y1uDRVv2hp9oB7tKLbhkcdSBT7g7A/MMLN1rR7IyzuHokNj7j3jecPC22en3Vi08o/su+O0YYHPnzqBBU+tHZbx3QnnShJ1XgeWdkkvetx2D37vxd05is1fmt4yihUjx3yfNWt0OSVJ4HWx+k/rW/oW2AV8Ezey4JdbPZCXd4SiWUF0HIew/rphSMMSWrz8DwUy1bUjXmVNips0kUAYw5ZVd6c21SpaS88jel1102lx92MzwSyqdByDrdJ+cNPykQdcF7RmS5F4XOAhvmfmMK8ETpN0IbCcyGiCZrZfmQMNvLyLCjtpgKBoDW/cFhuWY1IWDlvFvPDpFeVkvamw0dMAAB8gSURBVMWG41wbiSX+dTjtoVE05pAqYo+LtqrMWxG2H5e7GkXFnSTtZ7esBmDy0EQe3LScPbeZwZJ1G0b1T0gSeDuy7x7ntLoONPDyznqAEhVBme7mUZK+4oXllLxxPPJENW73XRqd2CFLwtH3oa7s2rcyqU50SryQpOnw5owfx5J1G9hzG5dhP7hpOZOHJg7vEy4Pp8wL+yWENfDoRB4wetiGQSc6KFWrdEzekm4GzjGz30gScClwMi6ZPN/MLg+22wM3Q/x83Ghb7zSzhcG6dwAXAZOAq4H3m1n2+KotkJWdZjXbK1KTSxN3O8oIRb6uRr851EETdWyfdRcjPp8pOIkPdxCLlkTWjez0lybt8LiQ3V/BtzapjzH5m7SGpGMkXQ68NLL4JOBoYD/gGOBCSQcH664CbsL1/b8WuCY4zt7AvwBvBfbCPbUdMfN8GqagE0uBn+13nsOdKx9M/Fm8/A8jfkIOf+ErWbTyj8M/ZTn8ha8c/n3H6bsP/779znOGf5/24tcN/77b2z80/Pvz//aSEb/HM53otknHSjpXt5IXY9J1xUl6P/qZ6P0xae4U5n/5K4AT7U6zx/KaH34DcBI+8Tb3++xp7udjD3+DOePHDf9csfya4XUn3vYNZs2C1/zwG8PHmv/lrzBp7pQR9+Fub//QsLiL/H08xZFZe7+KSroAmAUcC7w6yLx/AXzNzL4dbPMFXAb+JeBeYCcz2yhpDPAU8KJg/93M7N3BPm/GZfIvyovh0EMPtdtuu60NV+fxeMoiaYGZHVphv7nzX3boQ++/4P2Z273z5SfebmbzKwfYI7Q98zazTwTCXRlZfABwR+T1Pbhs+kBgoZltDPZ9DlgUrEvbx+PxeAaOtss7hUm4UbVCVgfL4suz1oXLPR6PZ+BoSt7PANGuheOBpxOWZ60Llyci6RRJt0m67cknn6wlaI/H4+kWmpL3ImBe5PV+wO+B+4B9g1o3wb8vwLU6SdsnETO7wswONbNDp0+fXnP4Ho/H0yxNyftq4MOSpko6HDgO+L6ZPQAsBs6StD3wCeBuM3sU+C7wdkn7SdolWPedhuL3eDyeRmlK3l8B/g9YgmsOeKaZ3R+sOwH4a1wrk6Nw4wBgZvfghlO8Edci5efAlZ0N2+PxeLqDjnXSMbO5kd+3AKcHP/HtFgOHpxzjKzjxl2LBggVrJHXjoBbTgPKDb7cfH1c5fFzl8IOc1MCgdI+/r0q70nYj6TYfV3F8XOXo5riajqEfaKps4vF4PJ4WGJTM2+Px9AGr/7Sx0jR//cigZN5XNB1ACj6ucvi4yuHj6mMGQt5m1pU3i4+rHD6ucvi4+puBkLfH4/H0G30tb0l7SvqlpLWS7pX0iqZjApB0jqSlktYE8e3TcDw3S3pR8LskfU7Ss5Iek3Rql8Q1XtI3Ja2S9ISkz0tKn525Q3HFln9K0k+biCk4/4i4JB0v6eHgb/kDSVOy9u9UbJKmS7o+iOvJ4G851FRsvUpfyxv4Hq4zzwzgM7ienY0S9Cg9CzgS2An4LW4o3CZiKTvWepNxnQvsE8R1EPBn1DilVAtxhesOBs7uZDyRc4+KS9JBwOeAtwOzgW2Bj3RDbMD5uLGKdsb9LY/C9bL2lKBv5S3pEFwnhQvMbK2ZXQm8tQv+h9+Cm3Q0bOkzhOtN2gQvDeJYE1l2PPBZM3vUzO7CTYZxbBfE9WrgEjNbamZPAF/DfeibjovgG8BXaO5BXFJcJwGXm9mvzWw18C7cRCfdENtmnHvGAKLZz0DP0s9NBecD9wNXSnod8BBwWtC7szHM7DZJN+DGcAFYj8s+mojlEwCSjo4sTho3Pbq+qbjeDTwSeX0o0NEJPFPiAvgobtiGhcDenYwpI675wC8k3Q7sDvyQgjNPdSC284Hb2Sr0G4Efdzi0nqdvM29c1n0U8DNgN+AbwPWSxmXu1WYkHQW8ETgEmAh8ky4o50ToynHTzeweM1staUIw89KbcKWwRpE0D/fN5JMNhxJnGvAW3LSBe+MEfn6jEW3lc7hy4RRcKWwOHS6B9QP9LG+Au8zsajNbb2ZfArah+XEV3gB8y8zuMLM1uFruoZKmNhxXSKlx0zuJpFfhsts9gUPM7KGG4xkDfB04w8zWNxlLCv9qZg+Y2VM4Yb6q6YAC3gB80syeNbP7gC/gnq94StDPZZOHcbIGXCsK3H9WTX/I1uFqfCGbcXXwpuMKCcdND0d5zBw3vVNIOgY3LPCpZvZvTccTMBE4GPiJu70YAsZIesLMdm40stj9T3fc+yHrYq834eaw9ZSgnzPvnwK7SHp3MDb4GbghaO/P3q3t/Ag4XtIhQVyfBH7aRZlb4ljrDccEcB7woS4SN0HmuI2ZjTOzccB7gP/qAnGD+4/uNEn7BN/qzgK65b37IXCepCmS5gDvA65rOKaeo2/lbWZPA68B3gssw31Ve4uZWcNx3Yx7wPU94Alcze/kJmOKkTXWepMcAHxV0ubIz41NB9XFfBP4MlvHv78V+GKTAUU4C/cs5Q/ALcA1ZnZtsyH1HmrYZR6Px1MISXP3ftH+D73x3HdmbveZN5x9u5nN70xUzdG3mbfH4/H0M17eHo/H04N4eXs8Hk8P0s9NBT0eT5/x9KYtLHjKtyoEn3l7PB5PT+Ll7fF4PD2Il7fH4/H0IF7eHo/H04N4eXs8Hk8P4uXt8Xg8PcjAyVvSByUlzgwj6T2Sjm/juedK2lBw29MlnZt1DEkmKXUQpPBaJd0YGQ/EJG2JvH65pLtbuZZoHJJeIWlR2ePFjp15XVXjrJOq71tk/7bea57+Z6DkLWkScAJuwKUkrgLODEb7yzvWxZKeU/smD349bvS1SkSv1cyOMrOxZjYWN+DU8Gszu8nM5tUU88BQw/tW+F7zeJIYKHnjhuy83sy2SPoLSYuC2civlTTezDYCv8DN/5dK8IE7ATc7zwdytn2PpGWSVuKGvgyXj8hQo68lTQR2M7N70o4RyfqWSpqZda058cXjOErSnXIz238vOklE2TiCYWXvlfTBvGNH9hlxvLR9grh/Jzfz+JPB3/LPst7zrBhyjjfqXin5vl0kaaXcrPcXSxpT9F7zeNIYNHm/Gfi5pLnAlbixqncBpgIfCrb5OfBXOcc5HvfBOw/4G0k7Jm0kaS/gkuC8z8NNbFCE1+Kmb0s9RiTrm21myxKO8ebgWgojaTbwHeBU3Izj64FLq8QhaTxuXsIfmNnns44dJXo83GQCWfscBjyKm+buR8Bnst7zAjEkHW8u6fdKkfftFbhp7/bEzVX6JtzfF4rdax5PIgMjb7kpqw7DTaj7NuAGM1sQTEV2OvC7YNM7gZfkHO79wJfMbCnwn7jJcZM4Fle2uMXMnqH4HIJ/CdxQ9Rixay3DccG5/jc413m4cdDLxjEWN4HDM2b2sQLHrhIPwJO4GeU34GS7W06cVY6Xda8UPe5M4NXAKtzcpeF/qkXuNY8nkYGRN7AT7nqfxU3G+mC4wswWmtl/BS+fAiYENeNRyM2jaGb2q2DRvwBnSBpK2Hw2I2c8z5rtfExw/CHgxcDNFY4REr3WMswBTpG0IXjItwiYKDdpc5k4nhfEcLiknQocu0o8AE9FJtfYgPtPIyvOKsfLuldyj2tmvwTOxJXXluFmKgq/qWXea57OI+kYSfdLWhuUvybmbH+zpBd1Kr4ogyTvcBAuAStx2ZBbIL1YW5/8Pxf7N84HgMvCF2Z2C7AC99U4zjLchz8k+vtzjHz/ZwT/HgHcamabCxwjjei1lmE58LnItF6TgcODTLRMHEuBI4FfszXzzTp2lXjSyIqzyvGy7pXc40o6ELjdzF6Gy+QNODvYL+9e83SQoPx5DXAOLgkQcEHKtsdIuhx4aeciHMkgyftJXDa1I/DvwFsl7R9khv8EhNnXVGB98BV5BJL2AF6Gy56ifAGXXcW5Dnhz8IGfAnwssm4psLuk6UG2fWKw/PVsLZnkHWMLMC3nWstwHfA2SftKmoCr2360QhxrzWwT7kNwsqR5OceOEx6vzD7Ra0iLs8rxsu6VIsc9DPiapFk4cY/D/X0g417zNMLrcf/RXh9Mo3gxrmyWxEtxSVJjf7uBkXeQyf4O2N/M7gD+DvdAbTHwG+DrwabzcBljEmcAE4D7JC0Nf4CLgCMkHRo75124LOta4D6Ch5DBugdxN8dvgN8CtwWrXgv8pMgxcJJfIGl62rVmvysjCc51Lq7euxxXDjithTjuxbXI+XzWsRO4AViAm+Oz6D7Ra0h7z8vEEO6Tda8UOe5VuGcPd+NmdH8S9589ZN9rns5zAHBH5PXdwExJO8Q3NLNPmNm7cd/MGmGg5rCU9GFgspl9ImObi4ClZnZZ2ja9QJFr9TRLv9xrnULS3Onz93vowNPTkmHHf5/095XmsJT0FWCJmV0YWbYJmGNmic94JD0MvM3MflP2fK0yaJMxfBX4haR/iNSUh5G0DS7zPaLjkdVP5rV6mqXP7rWOsWrDc9y9fFPeZtMk3RZ5fYWZXRG+kPR3JLeW+hawfWS7bXGOfLp6xO1jYMomAEEzrn8lvY51HHC5ma3rXFTtocC1epqlb+61LmSFmR0a+bkiutLMPh3pYTz8A9yCK2WF7Avcb2brOxl8URrLvCV9HPh4bPEQ8C5cZ4iPBMsuM7Pzgn2mAt8GXo6rH743aO1RGDO7PGPdN8scq9vJulZPs/TbvdYnXA9cIulIXL3707jOV11JY5m3mV0YNq0KmlcdiWsf+zSuOd6RwHzgOElhh4fP4x4I7QpcCFwbfLXxeDyeljCzlbhWX1cBf8S55iIASSdIeqDB8EbRFWUTSWNxXZBPB96C+zq50MyWAF/GNcPaLlj3cTN7xsyuwT25f1VTcXs8nv7CzH5oZnuY2Q5m9i5zY9BgZleZ2V4J289t4mEldIm8cWNCLDGz/2F0c517gL2AvYE1QZf0+DqPx+MZKBpvbRKMw3E28NZg0SRGduteHSyLL4+uSzruKfD/2rv3ICvr+47j7w+wy0VxlEskalCsyqUKcmlJ0jhJFeOMzXRMY2My3ka0eImTGqqpqfFSMWmi1TRNayzGeqtivTSM2gQnsWolTamMRAVFoSNWUVBAkMvusrt8+8fv2Xg4HHYX5JznPGc/r5kd9vye55zzAXa/++zveZ7vj1kA+w0ZMvWYo35nH6Y2s7215MWX1kXEyJ73tO7kXryBLwDvRsRz2eONlFyuAwwhzYOXj5du20V2hnkuwJRJE+NXT+x1a2wz24eGfPyIN/LO0AjqYdrkPFIHui7L2flynQnAC6SrSw7Szj2gu7aZmfUpuRZvSSL1CnmyZPg+4BJJh0oaS+oZcn9EbCXdNn2dpMGSzgeGkm4tNzPrU/KeNjmWNBXyYtdARCyQdA/wEtABfC9rqwnw56S7oDaQjtBPjx5WijEza0S5Fu+soc+QCuNzqNCKMdJKLZ+vQTQzs7pWD3PeZma2h1y8zcwKyMXbzKyAXLzNzArIxdvMrIDyvlTQzKzXoq2TjjV12V675nzkbWZWQC7eZmYF5OJtZlZALt5mZgXk4m1mVkAu3mZmBeTibWZWQC7eZmYF5OJtZlZALt5mZgXk4m1mVkAu3mZmBeTibWZWQC7eZmYFlGvxlnSFpLckbZH0tKRxSm6RtEnS25IuKtl/jKSFklokLZI0Ps/8ZmZ5ya14S5oOzAZOAIYDi4BbgZnADGACcApwg6TJ2dPuAZ4BDgYeBubVOLaZWV3IczGGTiBKMvQHNgBnATdGxGpgtaR5wBmS1gOTgRkR0SbpZuAqSeMiYnkO+c2sxvq1djBw7Za8Y9SF3Ip3RCyW9CjwWjbUAhwP/BpYUrLrMtKR+CTglYhoy56/Q9Jy4CjAxdvM+pQ8p01OAr4ITAGGAncB9wEHAJtKdt2cjZWPl26r9PqzJC2WtHjd+g37NryZWc7yPGF5GnBvRCyJiC3AlcC0bNvgkv2GAO8DG8vGS7ftIiLmRsS0iJg2YviwfZvczCxneRbvbWWPO0jz4L8Bji0ZnwC8ALwKjJfUDyD7cyzwYvWjmpnVlzyL9+PAWZKmSBoMXAcsAO4ALpc0LLsi5UzgoYhYSZofn53tfzWwNDuxaWbWp+R5wvJZSd8CHgRGki4BPB9YBxwHvEGaKrksIlZkTzsHuBeYAzwHnF3r3GZm9SDPSwWJiDuBOyts+lr2Ub7/a8D0aucyM6t3vj3ezKyAXLzNzArIxdvMrIB6Pect6XdJPUi6DCRdpz1qn6cyM7Nu9ap4S7oBuBhoA0TqSTISuKl60czMbHd6O20yE/g94AvALyPiEOAqoLVawczMbPd6W7yHAm+SbpKZlI3dRoXL+czMrPp6W7wXkor1AKBJ0snAiaTpEzMzq7HenrA8G/gmcCDwDdKNNf2BS6uUy8zMutGr4h0R60jFG2AVcFi1ApmZ7Y7a2tHa8s7QfVO30yaSJkj6b0kfSHpK0tG1CmZmZrvX05z3XOA/gU8B/wP8pOqJzMysRz1Nm0wF/jAi2iX9NbCmBpnMzKwHPR1594+IdoCI2EbOXQjNzCxxbxMzswLq6Ui6v6SfZZ8LaC55DEBEnFqVZGZmtls9Fe+ZZY8f4MMbc4Rv0jEzy0W3xTsi7gaQ9CngeuDwkud0Fe97qhnQzMx21dsTkP8CzAOuJa3wbmZmOept8T4YmBMRbdUMY2ZmvdPbq03upgp9TCRdImmVpE2S5kpqVnJLNva2pItK9h8jaaGkFkmLJI3f15nMzIqg2yNvSa+Q5rX7A0dL+jbpRp3fnqiMiAl788aSPg18Gzg5e81HgL8E3gZmABOAYcBTkhZFxBLS/PozwKnAhaSpnOP35v3NzIqsp2mTi3rY/lGcBtwfEcsAJP2QdFJ0HXBjRKwGVkuaB5whaT0wGZgREW2SbgaukjQuIpZXMaeZWd3p6WqTZ6r43s3A1pLHAsYAhwBLSsaXkY7EJwGvdM27R8QOScuBowAXbzPrU/K8w/KXpCPqIySNAL5Omp45ACjt+bg5GysfL91mZtan5NarJCIelzQZ+BWwHZhPOvIeAgwu2XUI8D6wsWy8dNsuJM0CZgF84tBD92l2M7O85Va8JR0J/DQi5mSPZwIfBw4FjgVWZLtOAF4AXgXGS+qXTZn0A8YCL1Z6/YiYS2ppy5RJE30nqFkD2NHaTsc7XowB8p02mQo8JOlgSWOBK4HbgfuAyyUNkzQdOBN4KCJWkhZAni1pMHA1sDQ7sWlm1qfk2eL1EeCzwMtAB/CdiHhS0tPAccAbpKmSyyKi6yj8HOBeYA7wHGltTTOzPifPOe8dpBt/Li0b7wS+ln2UP+c1YHpNApqZ1TH38zYzKyAXbzOzAnLxNjMrIBdvM7MCcvE2MysgF28zswJy8TYzKyAXbzOzAnLxNjPLSDpF0gpJWyU9KGnobvY7N1sFbIukZ7IWHzXl4m1mBkg6iLQ61xXAYaQ1BuZU2O9o4B+Bi4GRwALggdolTVy8zcySPwaej4j5EfE+8D3gKxX2OxF4KiJ+HhEtwN8CkyQNq2HWXBtTmZlVg/byeRPZeRWvpcDBkvaPiC0l4/OBJ0oeTwW2AR/s5fvuFRdvMyuKdzpbt9G5Zftud+jsaAVolrS4ZHhu1t+/JweQupkCkK2V25GNbykZX9v1uaQvAbcBV0ZER2//IvuCi7eZFUJEtDUPHkFnRyv9BwyquM/21vUAd0TED3b3OpL+irTYebl7KVmtS1IzqUbuslpXtnTjHaSj7vMj4tE9+KvsE57zNrPCaB40rKtAV9TeugHgF929RkR8NyIGlH8AC0mreHUZD6zI5rV/S9J+2b7rgXF5FG5w8TazAtm6ccVxWYHeRUTQ0bEVYNlevvx84ARJJ2RXnnwXuL/CfmcC70TEzLK58Jpy8TazIlnW0bGViF2Xpe1o38yApqFEpY29EBHrgXOBe4A3gXeBvwGQdI6kldmuE4HPSuoo+zh8b953b7l4m1lhREQMaBpKR/vmXbZtb11P86CPdrVeRDwWEWMiYv+IOC8i2rLxeyLiqOzzSyOiX4Wplze6f/V9yycszaxQmgcNo711PU3NB+w03t66gW1t74/KKVbN+cjbzApl84Zlo7aXzXvHjg4iOne6jK/R1ax4S3pW0iezzyXpFkmbJL0t6aKS/cZIWiipRdIiSeNLtp0t6S1JH0j6sST/5mDWx0TE2ohOYseHl1Vvb9tI08CDckxVe1UvfpJOAb4IfKZkeCYwA5gADAOekrQoIpaQThY8A5wKXEjqNXC8pGOAvwf+CFgJ/Btp5fm/6ylDv6ZmBo+q6bkEM6uipoEHsb1tIwMHjwCgvXU9LVvePDnnWDVViyPvz5B+SJReUnMWcGNErI6Il0gF+gxJo4HJwPUR8QFwM3CEpHHAV4FHIuK/IuJd4AdU7jtgZg2uZfMbJ7eXXO/d3rYR0rXXfUbVi3dEXB0RF5AuaO9S3kNgGXAUMAl4peQM7w5gebZtd88xs75nYVaw6exoRf2biYjWnDPVVF4nLA8ANpU83pyNlY93t61r3Mz6mIhoVf8mOjta0yWCA2va0K8u5HXCbyMlPQSAIaT+AeXj3W3rGq9I0ixgFsDo0aM/emIzqyvNA4fT3rqB9tYNtLWsnZh3nlrL68h7OTv3EJgAvAC8CoyX1A8g+3Ms8GI3z6koIuZGxLSImDZy5Mh9HN/M8rZ104qJ21vXd90SvzTvPLWWV/G+D7hc0jBJ00m9Ah6KiJXAa8BsSYOBq4GlEbGatFLFVyVNkHRItq1S3wEz6xuWtm/fyICm/ff6lvgiy6t43w78htQ792HgsohYkW07B/hTYANwEqnXABGxDLgKeBJ4GfgP4O7axjazehER0TxoJM3Z5YJ9jfrCDyxJm0lTMvVmBLAu7xAVONeeca49MzYiKi7sa73XV+5QfDUipuUdopykxc7Ve861Z+o5V94ZGoF7m5iZFZCLt5lZAfWV4t2bxUfz4Fx7xrn2jHM1sD5xwtLMrNH0lSNvM7OG0tDFW9KRkp6WtFXSy5I+l3cmAElXZH3Jt2T5xuWcp1e91nPONUTSXVkv9zWSfiipKe9cZePfkbQgj0zZ+++US9JZklZl/5c/lXRgPWSTNFLS/CzXe9n/Zf+8shVVQxdv4EHSzTwfA75PurMzV9kdpbOBE4DhwCLg1pyynCLpNnbfa/0U4AZJk+sg15XAuCzX8cDvA5fUQa6ubZOBv6hlnpL33iWXpOOBW0itlA8DmoFv1kM24HpSr6JRpP/Lk0h3WdseaNjiLWkK6SaFORGxNSLuBr5cBz/hO4Hgw2vs+5PuJs1Dr3ut10Guk4GbIuKtiFgD3EH6ps87F9lvALeT34m4SrlmArdFxK8jYjNwHmmhk3rI1kGqPf0Ake/3QGE18k06U4EVwN2STgVeBy6JiM48Q0XEYkmPknq4ALSQjj7yyHI1gKQZJcOV+qaXbs8r1wXA/5U8nga8XQe5AL5FatvwCnBMLTN1k2sqaYWq54HRwGOklafqIdv1wPN8WNCfBP69xtEKr2GPvElH3ScBTwCfAO4E5ksalGcoSSeRloWbAgwF7qIOpnNK1GXf9IhYFhGbJe0n6UfAn5CmwnIl6VjSbybX5Ryl3AjgdODLpB8oo0lFsx7cQpouPJA0FXY4NZ4CawSNXLwBXoqI+yKiJSJuBZpILWbzdBpwb0QsiYgtpLncaZLqpZv8HvVNryVJJ5KObo8EpkTE6znn6Qf8M3BpRLTkmWU3/ikiVkbEBlLBPDHvQJnTgOsiYlNEvAr8iHR+xfZAI0+brCIVayBdRUH6YZX3N9k20hxflw7SPHjeubp09U3v6vLYbd/0WskWsn4AuCgi/jXvPJmhpDVXf56+vOgP9JO0JiJG5Zqs7Ouf+vja77Kt7HE7sDWPIEXWyEfeC4BDJF2Q9Qa/lNSCdkX3T6u6x4GzJE3Jcl0HLKijI7eKvdZzzgRwLfCNOircZEeOTRExKCIGAX8G/KIOCjekH3SXSBqX/VY3G6iXf7vHgGslHSjpcOBi4JGcMxVOwxbviHgf+DxwIbCW9Kva6Xk3bY+IZ0knuB4E1pDm/M7PM1OZ7nqt52ki8BNJHSUfT+Ydqo7dBfyYD/vfPwf8Q56BSswmnUv5X9KK7/Mi4uF8IxWPb483Myughj3yNjNrZC7eZmYF5OJtZlZALt5mZgXk4m1mVkAu3mZmBeTibbmS9DlJy/POYVY0Lt7WkOqg9a9ZVbl4Wz3oJ+nWbMWj1yV9WtIASTdJekfSaknXZP1pyFaHKV0xZpWkT0o6Iltl5wbgvdz+NmY14OJt9eBoUiOlEcD9pNalVwDTSb3O/wD4Eqmnd08+Rmq4dkg1gprVCxdvqwcfkFbJaQF+BhwBnEtqG7o2IlYBN5IKeG9cHxGt1QhqVi8auSWsFceakoZhnaSvy0OBlSX7vEc6qq6k9CBke0SUtxw1azg+8rZ6UKk72nukhXO7dE2tAOwg+9rNTkwOr2Y4s3rk4m316iHgGknDJY0Bvs6HC+i+RVrDEuArpNV+zPoUF2+rV9eQFhheQVrvcF5EzM+2XQ7MkvQS8DlgaS4JzXLkft5mZgXkI28zswJy8TYzKyAXbzOzAnLxNjMrIBdvM7MCcvE2MysgF28zswJy8TYzKyAXbzOzAvp/7GrHcTbjAX4AAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.2,0.21,0.02)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " duadt_diffs_latlon_mean.T*3600., \\\n", + " cmap=cmocean.cm.curl, \\\n", + " levels=levels,\\\n", + " extend='both')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rublten_diffs_latlon_mean.T*3600., \\\n", + " cmap=cmocean.cm.curl, \\\n", + " levels=levels,\\\n", + " extend='both')\n", + "ax2.set_ylim(1013.25,700)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rucuten_diffs_latlon_mean.T*3600.*1e10, \\\n", + " cmap=cmocean.cm.curl, \\\n", + " levels=levels, \\\n", + " extend='both')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s='(a) $\\Delta$ du/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ du/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ du/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot1, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.set_label('m s$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.2,-.1,0,.1,.2])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_duadt_day1.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 264, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.15,0.151,0.025)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dqdt_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rqvcuten_diffs_latlon_mean.T*1000.*86400., \\\n", + " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s='(a) $\\Delta$ dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ dq/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "# cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "# cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "# cbar_ax1.tick_params(labelsize=fontsize)\n", + "# #cbar1.add_lines(contour_line1)\n", + "# cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "# ax2pos = ax2.get_position()\n", + "# cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "# cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "# cbar_ax2.tick_params(labelsize=fontsize)\n", + "# cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar3.set_ticks([-.01,0,.01])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dqdt_day1.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 212, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.15,0.151,0.025)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dqdt_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,100)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([200,400,600,800,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,100)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([200,400,600,800,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rqvcuten_diffs_latlon_mean.T*1000.*86400., \\\n", + " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(1013.25,100)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([200,400,600,800,1000])\n", + "ax1.text(s='(a) $\\Delta$ dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ dq/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "# cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "# cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "# cbar_ax1.tick_params(labelsize=fontsize)\n", + "# #cbar1.add_lines(contour_line1)\n", + "# cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "# ax2pos = ax2.get_position()\n", + "# cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "# cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "# cbar_ax2.tick_params(labelsize=fontsize)\n", + "# cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar3.set_ticks([-.01,0,.01])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dqdt_day1_full_atmosphere.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 174, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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NvwQ0Lo0yPt3cf5Dg/RG8P0WTMlr3p2TyFKmPCv0U+BeBz4nIp4G7gIuALzvtbxeRm4AnAacAx6nq/SJyL/BWEbkSeAdwh3Oz00K+5B1287FYkiaJl4qF5TKnJWmqMeIvHOXHX4fEK29/usQrbGiew+3enHSlDSbH60q78dgv7U6E3WhbPl53vi+UJ1ujau9zyxMt0bh7zViReyN0X3SOPzqvRkvcnz6yNzZ7Tz9vYt4sIu8EPoupCHYTZu73VuApmB0ztgPnqqobjZ+GmQd+CfAD4FW9Hnc/6Mf+lO0uyHHxitmPf/l5sWReX62qON9SrdUbhaPMtYMj7DBRe4+5KyW9i26apL3UKu3QSDsib51K3C4eWRf86Q/3eON7XwYxLAoPOd6SXonpL0m+vNfSLgiM52u71r7S14U8qvpx4OMBh852vvzn3ws8o9vj6hV52zgYwpfBR8m7XJLIGSdJ8crXlTo0i91/HjRLPEzWQPMUwKUU6ZGspe3HH3G7bU2PU8i7S+K2EXb+sEvp+8AgiRuSRd5BEo+KwtPgT3+412tcJ0bW1GlKjZj2kJuRlflkqZGA46mk7Sco+obOou6ciNve3OweVuA9Jm/y7rTwVBxZbXKbJLKG5ZWRYcJ220KlHSXssAU3nYg7jCzTJW2IO8s545buYQXeIwZN3O2QVSrF2x/QNEMEiFzGHrTApiU1AoHSjpzW1w1Jh5FVuqSL4u6XqE0tlL5cOpckFriIPBlY72kax8zj3ivzUQ0ZeZJ3FpsrRJGFxP3i9gvbW3MkbEVkYJQNRtp+YSdJg/hz1IEDT75IJrwPj3SzSpdkIG4bWeeTRAIXkfcCbwAWAcHUMNkIXN69oQ0+gypu6Dx10g5B4vZKu6l+SICwzXm+KBsa0m4SdtRiGw/1JOLGM/WvE4m70s0qXdKhuLtSQ8X+IsiUpBH46cDTMWVf36KqrxKRdwD2fyOAQRY3dC7vtFF4EnFHChtCUyMt0q7MRUq5Or8r8bi9uD9IBWhP4u3IO2G6pJfitoLuLUkFPg38GtiCKSoFcBVmteTFXRjXwJIHebeb3+511J1U3P6aI6GpEactTNqunKtL3ctnl3AkDulF7l1E06V0SZi404jXSjo/JBX4tzHCfhtQFpEXAisxqRQLVtx+wqJw//S/uFWQsakRSCzt2tIctcX5hsBLY/7SOobieHB7HKWxCarzu9JH495aJRnNLslS3HkSdkGUsZLVjktSgb8Ks3R9DfAWzOKbInBOl8Y1UPRb3nkStxevxDsWd9xNyATSrs7PNtobY/FIvDQx3XLcf04aEkXjIamTlraEUXcScQ+atC3hJBK4qm7FCBzgAWDfbg1okBhUcUPv0iX++dtJxB04R7tNaQNU52epLs1TqVSpVOpUKs4vlbLA3BLlsqPZ3bOUy8s/Eq64q/OzDbkHURqboLbYKv3E0bi7YYMbfWdwk9Iv7l5L267a7A2RAheRw4GPYSoC3gac6alLMtIMqrx7nefOQtxRNyKr87tSSXtxsdb4HhyJO4yPF4HaclsCufspjk9QW2q+SVqamKJemWuNxoNSJx3epEwr7qTStkLOJ3ER+NXAtzBFpk4D/hl4brcHlWf6LW6XYlHakrgr1G6I3L9DO7SKO/FS9g7EHUS5LE3idttcxntVIckv79Jkq7wzSJdkIe48Stsu5GkmTuDHAM9T1YqI/DXw2x6MyZIQ7+rEtDL3yzaJ0IMEHTWmLMUNNFIlXnEDTfntpvGOTWB26qs6LXXMrRuzMMgrba/MG1E3hEbdbkrFbSuOT1Acm2xqK01MLVcY9IrbmzLpYcRto+3hI07gRVWtAKjqnIjYpfc5xStOlzRSTyLnJNcN2/S3Rdz+edspxA203JgMfV0NiYMRuSvxbKQNUBybbJI2OAt7Moy2wYrb0ooV8hDTqdST9ukvJtWWuH3tQakSSC5uL8sSdqNx89dGp9J225ukDUbKvtklTdF2B1UCs06T+Pu0DBaxEbiI/KfzvQBjnscAqOqLujIyS1dII/Wgc1280oZmcfsLSfVL3H78KZU4aXvbY8UdliKBYHGnLDSVVNzDLu1CQVhRDv9cjhpxAj/d9/gzLC/eEc/3I0NBarm5kZkVUaL2E1a6NfEWZH0QtxdvSqUdaZtzp0Kj7U6kDe2lSVKtouyyuLW0sqv9W5qJFLiqfgJARJ6JWTL/RM9zXIFf080BWvpPWLQNKfaO7FDccasn07As4nBpQwfRdsJ52xBfpyQLafv7bAcr5nySNAf+KeA64ELcW/iWocYvbQgXd9yqyTBxBy2+cR97xe3O5S6XC1Qqy/Ox214h6ctrQ3S0DcHiDo22E077a7QnXC1ppW3xk1TgewKXqOpi7JmWnhIk2qyJujEJPnH765P4hJ5E3G607YrbfK9UKjVnPre7wCZ9VF6amI6Nts15CdMkATNNXLKoAtjL9MggCLsgzbOH2kVETgI+DDwB+BJwhqrO+s45B7gAU/fpW8DrVPU3HV88Q5IK/BOYuidXZHlxEXkjZon+WuDfnGtUnOucAewGLlbVq5zzD8DsSn8M8BPgNap6V5Zjyiu9ELWf1HO4ncdZiTto9WS5LIyPFx2ZN0flUSL3Rt3tRNsQMJPEJ+2sCkj1cpHNIEg7a0RkLSajcDpwE2bB4iXAuZ5zjgD+GngRcCfwUeD9mLpQuSFuKf1dmDx3EXiSiLwLs5incfNSVQ9v58Ii8izgXcALnT5vAP4KeAQ4EbN8fx3wDRG5RVVvx+Tbb8K8qa/H/Ccc1c71O6HbNzL7IWsvsTNKILxOSYi4XTmnibi94l6quAuNClQqVScKKzaicqiGplf8UXcm0bZP2t2qPdKNm46jKG0fLwZ+qKo3AojIZZgo/FzPOc8BvqiqtzjnXEsOS2fHReBndfHaLwE+rap3AojIBzFv0Fbg/ar6MPCwiFwHnCwiM8DTgBNVdVFErgAuEJHDVPXuLo4zkE4k68o/D6Juacs4x+0Xt79WSTfw36T0R91ZiVsL45nNxYbuzhCx0m7iSOB2z+M7gD1FZEpV3R09PoopHYKIrAdOAb7b01EmIG4Wyk1dvPYYJkXiIsABmJyU9829ExORPxW4y83Dq2pdRO4GDgZ6LvBO6LW4g0TddNy3x2TbUbdP3HEzSvyY6Dl42btbmNXNf46PFxvfl8uFpsg7sbjblDbkZ3ZIbP9DJu5CQZoWYIWwQURu9Ty+WlWv9jxeBTzoPnACwqrTvstpqwCIyOswKZYFTLYgV/RzJebXgA+IyEcxb9qbMT+xq4AdnvNmnTZ/u/dYCyJyJnAmwKZNmzIdeF6JE3XL+b6d3E0fKaPumFolScTtpVwuOSmSAt5l7/76JeXy8g+yN/8dlS5pEXeC3LY3RTII87Ab1xkycadkq6oeG3F8O9DIsYnIGMaF2/wnqupHReRTwOuAG0Vkb1fueaBvAlfVL4rI04DvAEvAjZgIfBLPm+s83obvTfcdC+r/asxvTo45+uihW3CUVtaN54VIu+nfNioEhom7nTTJ8gpJs+y9UtEmcZt/k0fdQeLuJNrOo7Ab1+uSuLU4mCs3Q7gbkwd32Qzcp6qND6uIXAA8qKqfUtV5EflH4AOYgHGmp6ONoG8CF5EDgf9Q1Uucx6cDewP7AEdg9tsEczPzx8A9wGYRKTjpkwJwKGY2ytDTrrAhmbS9x5NG3XHiNpF0+x+x5ZRK3dNW8Bxblrc/6o4Udxel3Y8l6t2MtodM3C43ApeLyPGY/Pf7gE/7znkMOF9EvouZWPEW4Keqmht5Q39TKMcAF4vICZit2s4H3gA8CXi7iNzkfH8KcJyq3i8i9wJvFZErMdMP73Budg4dnQgbWvPaps8YabsERd0p0iXNGyksNboNKx4VRXNefLnNnzKJFDe0ytsRd1SKJO81s2203R6qOiMir8bMatsIfA64VEROA96jqgdjNrLZjLlxOeH8+7I+DTmUfgr8BszmED/D/IT+jap+XUS+CTwFc5NhO3CuZxeg0zDzwC8BfkDO5mR2QqfChmhpe78P3eEdMom63Tnci4vNeetKxTx2F+OY7+Ol7m/3Rt1J8txh4vZH23kXdmMMIyzugsBY/E3MWFT1C8AXfM3XOF+oahUTdb+l44t1kX7mwOuYhTvn+NprwNnOl/859wLP6MkAe0AW0ob04m6JtqEr4l7eAcc/68Y7h967kcRypB0k81RRd4y4B03a0B1xD4K0LeHYeuADjFfckDJVElXetQ1pAwHibiVsF5woshZ3ZDnWFLL2CtX/f5E1Vt6WIKzAAwhbZZnl/O0sbko2tYXIO62463NbQxfgxIkbouUdRtzGCitW79GRtCE4TZJU1knk2U2ZD4u8h60Mcx4YCYEr2Xx46lrs2+rJMCmkmg4IreKen2kr2oZmcUM6eXunAy63tc4s8Yp7bNUezondE3cWsnT7yELkeZd3r6UsBcmkmNWwMBICzxtpou8k4jZ9Nq+eNM9tnQ6oux8NTZMszc7EShtaxQ3J5B00l9v8m0DcKaQNycTd7cUuvUyxJKVdedvoOZ9YgeeUqDRJS3vYFmYx+e2FHY8ljrYhWNwQLG+3+JR/xkCQvIPEvWL1xtY0yco9Q6cAuuRB3EG0I/Osx9mOvK24840VeI+Jir6TRtvLfTXPNCksbQsX99xMaJpkYceWUGlDOnH7WarUKZebJeCuovSLe3xqfUt+W1buGTl3G3yy9s/l9so9J8vLk6RYrLwtSbACT0kv8+BB4vZLOzTi3v1o5GyShR1bQqf/QfNsEfd7v8jdaDpI5GPlAkuVeiMCd4tPTU6OdSTusO3Gkoo7jciymuYZRlhU3m9551nchYI0fTZHHSvwNvB/wNMI3f1h8sshbEpg43EX0yRBdbcrFW1snuAS9oMzHuOHNOIOS5X4V0qGpUj88uvkhp0Wx7su8ca1SitzkyfvJrXa0JUl6itW4BnQjtCj5BBUHdBtjxO3dxpgmgU3S5V6Uwql0tjtplXkSXCrBfpTJWPT65NNBZxYH7joJiqfPejzmvOQ4sk6+rbC7i5W4F3A+0OQROb+YlPtRtudinuhoizVYKwx/LpnM+FkIu9Y3CELb7Qw3hdZ9zIK7wZp3qes5G2l3TuswLtM0ujcvwNOWmlD8kU3YeJeqpqc9lIVlmrKWEVZURaWl7sXgFqLxMOkndWKSVfegx5h55lO5N1LYRcK2WxqPCxYgfcIV9z+/SbTpEfSzNv25rWzZnGx1rgp2bG4ITbq1uK4EUwbLyeLG86DGoV36xeejbDzgxV4lyhIrfFDH7lBcJvCnt8925Gsx8qFxgwRf/4b3Kl+5hw3deIXNsQsc59YHxhlA7GybkhCcWpcKcVi+sgrq/1HB03i3UqdWHnnCyvwjHCFHbQpcONxgo0S/DchF2cfb0TYc3NLDWHvnqs1pUAAVpSlaauxpGU3vTJ3CZN2aJQ9uaF1FonvRmRQSiRM1kHUau1JfNSw8h4drMDbICgdYh77ctjQshFCkul+3jnac3O1RoS9e67aEPauRWGpBos1WKgYqa0ow3hRgRpjRRgrVRkrNos9Supx0m65ETm5fjklMrEs8PrY2oaw62PrGkJJI+sw2pV4FvP3ByEKH/a0ScJNjUcGK/AYUkXWELtr+9LOLaELaryy9rPkv+HYkDcs1VyhmeeNF81xEKfN7a95ebtf2KZtWdrj0+sC65E0Ftk4AtfSJPXy6kYqpD6+riHraqUOjS1gjUBLpc5+AK3Eg+nmTV73/c6LyC0GK3CHrEXt5q4Xd800zQxpN3c9Vi4wtrrQyFevWqHsXFCWqsKS80Nlom71Rd3FxvOTRtiBsvakROqFcepja0JTIdWFOlCjUm19beWSUK3WW9q9JBG8Tac006683V9oSVMp3vfcyrz/jJTA/akPSCFqaGtWiDeqduU7O1d3ImQasoXWQk9B6Q5vvnpysvnmoyvsNLL25q/TyNqlVtNGKsQr5iB5u+3lUrR4q9V61yQ+jFF4FpF3QWqppxJamfefkRC4UKe09Fgmueo4WUPrXGswi2aWI2bBLSviTqk2i2fUiaDNc4LE7pX6mGeWCNAk7ImV05GyDrrZGCdrgFrVm5IhMJoOk7f3eJzEk2IlHl/woh2vAAAgAElEQVSWIQz/ys84fQd9HhrPtSmWvjASAqdeo1DZETl9D0i8JN2bBoHWrcSW64nUm9pdSZvcNJ42k/rwPnZTINAs7iBZJ4mu45aqe/PXQMu866AfzHbk7T0vSuJJo3B3bKMk8bCVu97vveUYEu88FLM/qBZXUIj65R4j72q1nvjzEYaIhG5+PYr07J0QkZuB81T1+yIiwBXAGcBu4GJVvco57wDMzvPHAD8BXqOqdznHXgVcCqwCrgXe5OweHX1trVCc/01bpVbTbCPmitu0Bed5/RJ3c9YQPA3Qu3w9yZS+wM0PIPVS9XYI+uGs1uqUisEithIPxi9oCN8qz5zv23UJlqeq4gkXyhPRF3bm6AehpUm0tmA+K/VFtDCOhIjcxRV2tVan5vxb7VDglma6LnAROQl4KfBsT/PpwInA4cA64Bsicouq3g5cA9wEvAh4PXAdcJSIHAL8A/AHwP3Av2N2tP9A7CDKU8h+v9c6Ns/3BUblzxGDvf2XJVMZ97c+4/46x35e8kkvJlQ+G+PGXZ62U4H3q+rDqvpTjKRPFpH9gKdhIvKdmCh9fxE5DPgz4AZV/a6qbgH+HnhlD8ZvsVgsuaTrQaeqvhtARE70NB8J3O55fCcmIn8qcJeqLjrPrYvI3cDBznP+x/ecg7s4dIvFkjMKhWKjjIOlNxF4EKuAHZ7Hs06bvz3qmNtusVgsI0m/BL4d8P4anQS2BbRHHXPbAxGRM0XkVhG59bHHHstk0BaLxZIn+iXwu4EjPI8PB34M3ANsFpECgPPvoZjZKGHPCURVr1bVY1X12I0bN2Y8fIvFYuk//Zp4cS3wdhG5CXgScApwnKreLyL3Am8VkSuBdwB3qOrDIvIZzGyVf8JE4+8GPtyn8Vsslj4gxRKliel+DyM39CsC/yjwI+BB4HrgXFW9zzl2GvCnwOPAC4BXA6jqncAFwNeBn2FuaH6it8O2WCyW/NCzCFxV9/d8XwPOdr78590LPCOkj49i5J+K2267bZeI3JP2eT1gA7C134MIwI4rHXZc6Ti03wMYFkZl7co9qnpsvwfhR0RuteNKjh1XOvI8rn6PYViwldEtFsvAIM488KivRP2InCQi94nIbhH5rIi0JNZF5NUi8oCI7BKRm0Qkd385WIFbLJaRQkTWYlZ/nwfsi6kUcInvnCcBVwJvADYCXwY+09uRxjMqAr+63wMIwY4rHXZc6bDjCubFwA9V9UZV3QZcRmtZjucD31DV/1LVeeD/AU8VkXU9HmskI5EDV9V+f2ACseNKhx1XOuy4QvGX8rgD2FNEplTVrdl0I/AVzznHAHPAzt4MMRmjEoFbLJbRYYO7Ctv5OtN3vKksh1N7qYqnNIeqPqqqDwCIyMuALwDnJylf3UuGWuAicqCIfNO5UfEzETmh32MCEJHzROQh5+bIN51qi/0cz80i8rvO9yIifyciO0TkERE5KyfjmhSRfxWRnSLyWxH5oIiU+z0uX/vfiMiX+zEm5/pN4xKRU52bcDtE5D9EZE0exiYiG0XkRmdcjzn/l4n2c5NC0dS/j/gCtrqrsJ0vf8TfVJZDRMYw2Yim0hwiskFE/j/gg8AZqpq7hYNDLXDgs5gFP3sAf4tZAdpXROQZwFuB4zGFn28BPtKnsZwkIlcRXqv9JOC9IvK0HIzrfOAwZ1xHAb8DvDEH43KPPQ14Wy/H47l2y7hE5Cjg7zBlmPcFxjArm/s+NuBijET3wvxfvgCzGrtX+MtybAbuc3LdAIjISuDbwAxwmKp+vofjS8zQClxEjsYsZLhEVXer6ieAVyT9Td9Fapgtedz7D0XMqtN+kLhWew7G9ULgclV9SFV/C/wL5ge/3+PC+Uvgo/Tv5lzQuE4HrlLV76nqLPBazGYpeRhbFeOeAmYGSK9/Bm4EjheR450ZKe8DPu075xTgN6p6uicvnjuGVuCYmw73AZ8Qka0i8gNgyVkF2jdU9Vbg88C9wAImivy/fRrLu1X1LzBRhktQrfae1l0PGddfAF/1PD4WeCQH4wJ4J6bEww97OR6XkHEdAxRE5IcishXzF+ivczK2i4HnYaT+a+Bh4Es9HNMMpkTHNc71twCXishpInK/c9qRwHNFpOr7emKvxpmEYRb4BkyE9hVgE/Bx4EYRid65tcuIyAswW8wdDUwD/0oOUjsecll3XVXvVNVZEVkpIh8C/gQjpb4iIkdg/kK5qM9D8bMBeDnwCuAQYD+MOPPA32FSh2swabEnkjAdJoUixbHJyK8kqOoXVPUAVZ1S1deq6qKqXqOqBzvHz1HVgqqWfF8PtveSu8MwCxzgp6p6rarOq+pHgDL9r8PwEuCTqnq786fZ+cCxOZpfmqruei8RkecDdwEHAker6i/7PJ4C8DHgHG/+NEf8k6rer6qPY6T5/H4PyOElwEWqukNV7wE+hLnfYknJMM8DfwAjbMDMrsD8wur3D9ocJufnUsXkxfs9Lhf3Bo9bHTKy7nqvELM59meAs1T13/o9HodpzB6u/2U+XhQxaYvfqupefR2Z7/NPPj77LnO+xxVgdz8GMugMcwT+ZeAJIvIXIjKB2cH+QZbF1C++CJwqIkc747oI+HKOIji3Vvs6Z8bMKcDn+jwmgAuBt+RI3jgRZFlVV6jqCuB1wH/nQN5gftm9UUQOc/66eyuQl/fuC8CFIrLGySm/Abihz2MaSIZW4M4S2d8DXg88ivmz7eWqqn0e182Ym16fBX6LyQGe0c8x+Yiq1d5PjgT+2XdD6ev9HlSO+VfgH1mun/8D8rMBylsx91Z+jpmqd52qXp/kiVkVsxoWpM8+s1gslkSIyP5//Iwn/PIz57WsoWpi4uX//kNVPaZHw+orQxuBWywWy7BjBW6xWCwDyjDPQrFYLENGoViiNDHV72HkBhuBWywWy4BiBW6xWCwDihW4xWKxDCg2B26xWAaHQpFCOVm9k1HARuAWi8UyoFiBWywWy4BiBW6xWCwDysgJXET+UkROFpG7Q46/TkRO7eL19xeRhRTnny0i50f1ISIqIoEFlDyv920icr+z/597TETkf0Xk/c7jJzp7J844X58Xz36dznX29/X/GhH5Zsi1Q8fVDmnfuxT9PldE7mjzuV39vFgsUYyUwEVkFXAasDXitGuAc51KgXH9XSYidWlzU2IRWSUi/ykid4nZdDmoJvKLMdXb2uof83qvx2zMOg+82XPKqcDeLBf6/xxwG2YDjIOB/wW+KiJDfbNbVW9S1SPizwwk8efFkgFShPJk9NcIMVICx5T7vBFTf7skIh8WkcdF5DZnE1hUdRH4BmZPwVCcH9jTMDv9vDnm3NeJyKMiMoMpnenyAeBrqroZs5Hwv4hn53ARmQY2qeqdYX14IseHRGTPoNerqjVVrQJnAxeI2W17ArMX4FtUdZeITAJPBz6kqnOquk1V3wt8D/D3G0vQuETkBSLyExHZJSKfdUrWnuD8FfBBMTuU3y0iv5PgvWu3vz902naKyPVidrs/wfsXWVC/Tvulzl8mv3V+eReSfl4slm4wagJ/GWaXeoCDgF9iduy+AfiMmB1WcM7545i+TsX84F4I/LmYzVFbEJGDgcudax+E2SDB3WDiT4FPAqjqI8CtwB94nv77wFfC+nCe50aO+6rqoxGvF1X9Fiaavwh4O/Azt4ynqs5h9r+8QUT+TET2cdpPVtWHY96LFvzjEpF9MRvHnoV5z+eBK5xzno7ZF3ETpl7630L4e+cca6e//YFPYGqcPwFYB7zFO+6wfkXkBMxWeAdidlL/E8z/DyT7vFgsmTMyAnfk/HSMpMDsOH2FI67LgX0wP5wAPwGeFdPlm4CPqOpDmM12/yLkvJOB61X126q6neV0xXpgCvhvEfmRiPwIeA5m70KXP8JsgBzWR5rX63Ie8EqMuN7kO3YiZmPedwK/EpF7ReSsuGsBSWoSn4J5Dd91XsOFmBrtAI9hdpxfwAh3k9Me9brb6e+VwOdV9TZnO7uzMWmipOPcE3ghsBOzp6n7yzHJ58ViyZyREThGmAWWN+z9jXtAVSuYH/r1TtPjwEonh9yCmL0ZVVW/4zT9A3COiBQDTt8X+JXnsbuTuptXPl5Vj1LVo4Cvue1OX88Ebo7oIwr/6wUz6EcxaZ8vquq9ntckwBZVfYeqHgmsBf4a+Fsn+oTW7eBwHifZDuuJwJkisuDciLwbsyXZCuBxz0YbCyy/N1Gvu53+9gN+4Xkv7lLV/044zu8D52LSZY9idi5y/+qK/LxYMqRQhPJE9NcIMUoCd3+Ixfl3b/eAmJkZewK/dprqvn/9vBm40n2gqt/G3Bh9acC5j9IcVbvfz2Dk4j22L7DF+f444AdO7jqsjyj8r9fLblr3JTwJTzSqqjtV9VrMXxdPdZofxOxw7uVApz2OLcDfebYfWw08A/MehBH1utvpbwZPPl9EnhkwgySs30OBH6rqczARvQJvc54T93mxWLrCKAn8McwPtxs17S0ibxCRcUxa4VYnDw0mNzrv/JndhIgcgEl1XOs79CFMhObnBuBljizWABdAI+r/GvAap9/NmNzql53nvRiTPgntw0MN2BDzeuP4LrCXiJwvIhtFZEpEfh94nnMM4Drg/4nIk0Wk5PwlchZm/8UgvOO6AXiliGwWkZWYfPU7Y8YU9brb6e/fgVeIyFNEZD3w95iI3X/NoH6fjrnJvDdG3isw7zFEfF4slm4yMgJ3Itn/BZ7iNN0GHA9sx0TOZ3pOPwIz+yKIc4CVwD0i8pD7BVwKHCcix/qu+1NMpHY9cA/wFc/hNwG/IyL3Y3K156iqG83+PvBfCfoAI/rbRGRjxOuNRFV3YqLw4zFpg4cx4nqNqv7AOe0y51pfxUTxH8bsmXlzSLeNcTmv4XzndW7BpCreGDOm0NfdZn+3A/8X+BJwLyYt8rGAawb1ew3mfsIdmB3fH8P80oboz4vF0jVGak9MEXk7sFpV3x1z3qXAQ6p6ZdR5eSfp67V0xrB8XvKOiOz/0hOe/MvrL/vzyPOKv3uB3RNzSPln4A8lYmGKiJQx0e/Hezaq7hH7ei2dMWSfF8uAMVICd6aF/RNmOlkYpwBXOdMLB5qEr9fSGUPzebEMHn2LzETkXcC7fM1F4LWYRRbvcNquVNULneesAz4FPBeTh3y9MwMkMap6Vczxf03TX96Je72Wzhi2z4tlsOibwJ1l2u91H4vI0zE3lLZhbpYdj5nq9nURuV1Vb8TU89iCWXTzf4DrRWQ/VV3q9fgtFkvvkUIJGZ/u9zByQy5SKE6O9hOYlXEvx/xJepczI+MfMdO6xp1j71LV7ap6HWYmwPP7NW6LxWLpJ7kQOGYu8YNOrY4jgds9x+7EVMY7BNjlLF33H7NYLJaRo++zE5yaHW8DXuE0raJ5+fes0+Zv9x4L6vdMnLndK1euPOaQQ/wLCC0WSz+4/fbbt6rqxvgzLXH0XeDAH2JqcLiLRbYD3oIGk5i8uL/de6wFVb0auBrg6KOP1m9/+ztBp1kslh6zcuVkktILwRSKUOq85reY2vsfxkyY+BJwhqrOhpx7M3Ceqn6/4wtnTB5SKK/FbCTgcjdmZZvL4cCPMbNO1rq1mX3HLBaLJRFO6efrMCU09sXUC7ok4LyTROQq4Nm9HWFy+ipwpwLec4Cve5qvBd4oIvuIyKGY+iKfVtXdmKXZF4nIhIicgakSd0uvx22xWAaaF2MKk92oqu6st6C1Es/GZClyW+Om3ymUIzBpkZ+4Dar6ZRG5BvgpUAUuU9VvOof/ErMBwuOYSP3lqlrr6YgtFsug458ocQewp4hMeQuSuSUoROTEHo8vMX0VuFM4qCWhpaqXEPAnjVPL+vd6MDSLxTK4bBCRWz2Pr3buibmswlMCWVUXRaTqtOc22g6i3xG4xWLJOQXJ0R+57qbG0WxV1WMjjjdNiHD2AygRMiEiz1iBWywZUqtlW92zWAzaj8PSIXdj8uAum4H7VHW+T+NpGytwiyWGrKWcxbWt2DviRuByETkek/9+H2Yj64HDCtwysmQh5mo1m13USqV0E8Kixm7lHo2qzojIqzGbdGzETGO+VEROA96jqgOzutsK3DJytCPurESdtP+0Qvfivr4sRJ6r/Dcsb2rcIar6BeALvuZrnC//uft3fMEuYQVuGRmSijuprCvV+P7KpfYk6h1DuzKv1dRG40OOFbhlJAiSd9qoOomwO31OkPA7kbmV+HBjBW4ZajoRd5x8q7XofkrF9JGze82wyN0dexqRW4kPL1bglqHFL+84cXcq7LTnRwk+qcghmczbkXju8t9g5oFnUMxqWLACtwwdSaPuJOmNMAnXEjy3GJP/DuvbK/Y4kUNymdtIfPiwArcMFUmi7nYj7SBpu+cGRdNhkk8q9rQih/gUi5X4cGEFbhkKkkTdUeJuR9pxbWEpkqA+g6TeqcitxIcfK3DLwNNO1B2Vn04s7YDzSh6x+p8TlfP2XtMv83ZFPowS10IJtTnwBlbgloGl3ag7abSdVNpRx6OEDtGplyxEHiXxKHJ5A9PSghW4ZeDIWtwufmEWS8Xlazr9uU1RfUVF2nH577DnxqVMkkg6LOK2sh5crMAtA0G7NyfTTv0LI0ruUcTNBY8Sc7srMKNSI1bWw4UVuCW3ZJ3b7gZeQXcaJXcjJ22FPdxYgVtyRVi9Eq+8+y1tMOIulyRSyjYS7gYFtDDe70EkRkS+gqk3/iDgfnAFUFV9Tqf9W4Fb+k5UkSlX3HmQtotX3q6k44QstcXo49XdLW1aWtn+IN0+ioMjuyHl/2D2/D1RVaM/BG1gBW7pC3GVAYMi7naknXTOdRL84i5ILVDMQTJuOl5P9nMsS+a8diNOLa1sjK9Tkde1aP9qaANVrYvIK7ohb+izwEXkPMxO82uAW4GzgHuAK4AzgN3Axap6lXP+AZhd6Y/B/FZ7jare1YehW9ogbTnXKHEnWcoeOo6qppa4V97lUh2pLTZEHSdkqS2kPq7FFS3HvW1heGXvjs8VeRYST4MVvkFVf9atvvsmcBF5BvBW4FnAI8DFwEeAa4ETgcOBdcA3ROQWVb0dU2z9JuBFwOuB64Cjej96S1LSbJ4QlC5x5d2JsDshLOqW6m6kvtgi31hZJ42+64upIm9X7v7+tTDe8hdBr9IqaYWfCCkk+kWWV0TkPap6cVb99TMCr2GS+u4YisDjwKnA+1X1YeBhEbkOOFlEZoCn4eSSROQK4AIROUxV7+7D+C0RtCNuaI268yxuqS1EClmqc/EXCjrHWWkozDWtOgyTuhZXxP7icEWeZVrF0hYnYoLVTOibwFX1VhH5PHCv0zSPiaa/B9zuOfVOzIt+KnCXm0tyckt3Awdjdpm25IROom5vuqQWk/tup952EtLIu0nSccKuxGx6XpmD8uTyeeUJ07936XiKn9hAsVedYynSKl2JpC2Z0M8UyguAlwJHA/cB78ekT1YBOzynzjpt/nbvsaD+zwTOBNi0aVOWQ7eEkHW6xCtu7xJ1d3m693gWMk8t7upcuJQrMTIPk73bXppMJHQtTQamTaA5dy61BfOvE8X3K61iIdPJ/v1MobwE+KST20ZEzscIugp4dy2dBLYB233t3mMtqOrVwNUARx99dH/+Dh8h2tlvMipd4rZ5xV1ZqlEeK3ZF5m3LuzIXG3nr4mz8ALx9lCZhcRYZnzbtrrC9Qnc29o0TuhbGQ9Mrg5hWUSkOdA4c+M8sO+unwOcweW+XKiYv/iPgCExUDuZm5o8xs1M2i0jBSZ8UgEMxs1EsfaKb6RJX1JWl5dkM3u/9Mgcj9DQy71TcgXLuOJViBK2unJ1rNAndjfD9Qm95geYfV+RZpVUs7aGql2bZXz8F/kXgcyLyaeAu4CLgy07720XkJuBJwCnAcap6v4jcC7xVRK4E3gHc4dzstPSBNPJOS1zVv3Zxpw9mIu5ORQ3BqRZv2sSlNNn4ZSGetpY0i/eYh0bqxJF44DFPNG4lPhj08ybmzSLyTuCzwEbM9MAzgK3AUzBLT7cD56qqG42fhpkHfgnwA+BVvR63pX1xu8vOS86nrlo1KqpUlVLRRN9ukahScTkiL5VKDaGXAuZve6Ns//xu95hbp8Qdw7K055GlDKXtpezJ+IXJvOwRrStj//O9M1HGp5vbYs53iZqS6B7LYuWnpbf0dSGPqn4c+HjAobOdL//59wLP6Pa4LOGkTZlE1QppR+gQLmloLijllTW4C0ucRTjdknYYZf/tGwev2F0Ze891pxS64va0RZ0PNKYgeuXtRt+Nfweorghg5oEP2pg9OKnf24BjVbXjlU52Kb0lMe3cqEyDV+jVap2yI29X6F6CRA3BsqZO06rJjqUdFE2HCTqOsOd1EHV7544nlbc3+rbpk+7h3L+7DXgdcFWn/VmBW2Jpd1FOJ3il7Ard3x5USMqdTeEXtjnWhrST5LGzxh91e1MiCaNuP0nlbekJRwKvFZH3YNLEsFyh8PA0HVmBWyLph7yDGB83IXicrE37QvO/QfO2w8TdrrA9M0HaJkm6BGKjboiOvJvOs/LuB+eFtKe+uZRY4CLyZGC9p2kcM497r7QXtQwGnaZMzHTB9vZkdAmq+pdE2Oa8BNJOI+ywxTnl4Kg3FW1G3UERd5y8I29o5j19IqVh+KVzFeGyzj4CF5H3Am8AFnFCfczMkcvTXMwyOGQj784Imt4HzQWjvPVIGsvao6Ttpk2yJGCBTSrC5N1B1A0hEbdNneSBszzfF4A9gFdjZtalImkEfjrwdEzZ17eo6qtE5B3AQC+JsrTSacqkW+KOjbIhVtr1yhzV+V1Ul8x5pbEJShNTgWMopI2q/VMAkxIn7wzEbfPe+UJVb/K3icj1mDpQF6bpK6nAp4FfA1swRaXA/BlwHxlW1rL0jyxy3Z3KO0nVv6YoG4Kl7R6vzFOf29qQdm1pjtriPNWleUpjEywBxfEJimOTlMaMKF2h1xNE6YGSTxOFe+Xdpag7jbzD0icFqdmCVt1nDaZ8diqSCvzbGGG/DSiLyAuBlbSRdLfki7SLctLKO0kePC7ibroJCc1pEKctKtr2irs6P9sUgQOUJqYpjU1QHJ9IFJ27eCVfKE+mi8JLkz2Juv3n2sjbICInAR8GngB8CThDVWfTntPmte+i2Z0FYD/gsrR9JRX4qzBL19cAb8EsvikC56S9oCUftLOaMk3KxK1HElWLxBU3kHwZO7Qt7UqlSqVSp1IxYy6XlyiXC7B7lnK55Eh7OjY6jyUqCk+ZMokTNySX9zCgUuj4RquIrMVsBnM6ZgX41ZjV3eemOacDzvI9rgMPqeov03aUSOCquhUjcIAHgH3TXsjSf9pdAp826k6yd2W7Ff86kfbiYo1KRVmqmPGNlQuUy+JMUawZoXtkDq3ReZjM65W5+Cg8St4ZR92B50dE37mffZItLwZ+qKo3AojIZZgI+9yU57SFmwMXkT0wNzB/pao72+krUuAicjjwMczUltuAMz11SSwDQidFp7KWd2pxQ+wNyaXZmUTSdtsWnAh8RVkol4VyucZY2amZUhbGx2uR0XlxfILFXTON6DwwMvdH4UHybjPqDpxd0oG8R5Ajad405g5gTxGZUtVdKc5pCxHZl+XtIHcC60XkP4E3qupv0/QVN0H3auBbwDOB/wX+Of1wh4dB3aTVXbHYDqVSIfCrXJLAr1Kx0PTlrfhXLtUp1ucoLD5OYenxZMvadz+K7n4U5mdgbob63FaWdm5hYcdjLO6aaci7EyqVeiMq97f7qS7NU1tMeT3/zcqE8tbCeKKo258yGba0SRtsEJFbPV9n+o43bQ7j7PJVpXlzmCTntMtHMGmZtaq6D7Anpnjfx9J2FJdCOQZ4nqpWROSvgVS/HYaJQZW3i1fiWZSBDbspWfJ8otxiVh2Va41JlTRde2LafM3PUnYi8XJZPJF4gaVKnbIj5nK54Iu8i05EXqBcNi/EH3kDLZF3YzZKgJSzynXHpUuCnpMl7ue//7NRJMkYtqrqsRHHmzaHEZExjAu3pTynXY4H/lxVqwCqukNE3g08mrajOIEXVbXiXGROROzS+yEga5mHXaNYLCabFhgh77BpgFEkETk0S9s8LjSlS4CGuNNIG2JuUiZcRdloS5nr7ibeQKb/Mm+buzE5bpfNwH2qOp/ynHb5NSY49s4HPwL4TdqOrJATMOjRdxRpZZ40HZN6dklE1L24ayaRuP1EiRxoiraDbloWx4xg2xZ3BzNLoLdRdzubOPh/LgZI6DcCl4vI8Zjc9vuAT7dxTrucB/yHs6n7/ZhJIX8KvDltR7ERuJNcB7OEfszzGABVfVHaiw4SwyxvP53kyqFZ2kC0uKFV3vMzidMlaQgSOdBycxLIPtr2tLcr7qC2POa5B0XoqjojIq8GrsGUBPkccKmInAa8R1UPDjsno+t/RUSeBrwSeCImdfI8VU29PWScwE/3Pf4MyxPQxfO9pU/k4YfGH21Dc6GptFH3wo7HIhffuOmNtHhF3njsS5GY9qnk0va0JUmTRBeSihd3XB95ohvpFtVs0n6q+gXgC77ma5yvqHMyQVUfBP62034iBa6qnwAQkWdilsw/0fMcV+DXBD978Mlr9B01rl4JPSjahjbqb4fcpFycfbxlWiCAq8N2Je4+d3zarFr2RtupI+2Ic8M2VfASt7t6llG3u99lv8jrz1I/EJHfxfh0f3wOVtUD0/SVNAf+Kcy8xQsxO8db+kA7PwRZR0FJou2mtjZvUlbnZ5nfPds0n9ulXKlSdhbVpBV5aWyCsen1rSmStOkR77me40HbmLnECTvsvEGJuC2JuRbj04vo0KdJBb4ncIkzF3IkyEvEkOU42o3Ok0bbjTZ/WdcUNyn9UfeuXdXGQpyxcoFdu6rOzJF6qmjcTZWMT61fjrYDUh5phQ3R0XYSaUed00t5293oe0ZmPk0q8E9g6p5c0ekFvYjIGzFL9NcC/+Zco+Jc5wxgN3Cxql7lnMRDfYgAACAASURBVH8AZlf6Y4CfAK9R1buyHFMe6NUvjyih+3e+SRVtQ3CVwIiblAs7tiRYRVmnXC5QqShTUyXm5pZio3F/jnts1R7LS9eT3oT0HiPZ7jdBJI3A/X1alqnXtas7P/WIzHwat5TerZpVBJ4kIu/CLOZp3EVIu4ebp+9nAe8CXuj0eQPwV8AjwImY5fvrgG+IyC2qejsm334T8CLg9SwvR82UfkXf/Y76w7Yri92qDEIrBfqj7qWdWyLrlszN1WKWvyuVsrsQRyKj8fHpdc057skNDXEHlnANETaER9lJpvqlxcp7OOmGT+MicH/VrCx5CfBpVb0TQEQ+iEnsbwXer6oPAw+LyHXAySIyAzwNOFFVF0XkCuACETlMVe/u4jh7Qr/l7cWfKjFtzTcmzfHkEXfYzBJ3Sh8EL11vh9B0ycT6ZXF7C0hBW8JOK+t+i7nfNzIt2fs0bhZKy84RGTKGSZG4CHAApvaut4jMnZiI/KnAXW7eSFXrInI3cDBm1VRm5HX+ahDevSIz7TdiVok5HrHf5LypWZJE2l7MohoSLX+fmio1LcRZsXqPpnTJitUbl8Xtj7oTVP/rVNr9lrUlf3TDp/1cifk14AMi8lFgF2YVUhFfERlg1mnzt3uPteAUsDkTYNOmTZkOPGvajb57Ie/lay3E36D0ids/FTApYSI3x0zaZHKy2LQQpyVd4pG3rNwzVNxZSXtQhD3oUbhqNtv2DQt9E7iqftFZjfQdYAmzdPUAzFRfbzX8SUwBme2+du+xoP6vxlRT5Oijjx6q//FuiRuCd3yPnc/tiNudUbI4+zgLO7akknYQfpGbNhN1T6ycblqI05IuCYu6I6b7JZX2oMi6HexMlMGibwIXkQOB/1DVS5zHpwN7A/tgCru4dccPB34M3ANsFpGCkz4pAIdiZqMMLGmi76zE7c1tBx5PIG+3xGuQuOfmlqhUlF273CXr4qQ84qoXB+OK3Hzfmi4JirrD5O0XdxJpD5uwBz0KH3REpKiqNef7KWDefZyWfqZQjgEuFpETMFu1nQ+8AXgS8HYRucn5/hTgOFW9X0TuBd4qIldiph/e4dzsHHqSyjtOzsmvZ+RdWNoWKG53Rok/4p6bq7FrV5Xdc9WmqHn3XK1pBxw3kk5K0nRJSwlXn7z94h6UperedFYa8vhaRhURKQN/DzwZeJ7T/EfAVSJykar+fdo++ynwG4DnAj/DFEr/G1X9uoh8E3gKpsD5duBczy5Ap2HmgV8C/ACzV+dQEyfuToQdJgWpLVCo7DBRtyPrMHG7Kyb94t65oOxaNMWxpsbrjBXrLTvgJJF50G44TekSCI+6IVTeedw3sl1JWwaGv8Ls9PNqt0FVrxORXwCfFJEFVf3HNB32Mwdex0xmP8fXXgPOdr78z7kXeEZPBtgD4tInWco7qRwa8l7YCnMzjV1xmJtpiNtdeOMudTfirjE3V2OhYsQ9uyQsVEyfizVhvAhjRRgrLct8crJIpaKBIg8Sd2jUDZGzTFx5e6PuvEgbuituqS8GvtZBTaOoaqI9V3PKq4A/8G9erKq3iMirgH8FBkPgFjNdsRfzv+MEEZjrnpsJzXN765S4S93dOdxLNfMVh7uJQvAxI+8Vq/ew4rYME/sCvwo59mNMscBUjITABRPt5nF+d5TEtTje8Y3LqDRJy4pKN9c9v9XI2yk2tbDjsaaNg/3yXvKsllyqRtcUHyuazYS9+LcyC5L32Ko9YHJ96/6SEdJuiNs708SJOrO6V9AOvRZ3WBRu6TmPYDIINwcceyrwUNoOR0LgLnndDqobkXicuCN3gA9ImQRVCPQud4fmyHuhAks1Yay4PINzrLT8vbsgp9zIiwfLe8XqjWYJfNAqSs+UwDBp5yVNkMdoe1DTKAPMx4GPicifqeqtbqOIPBmzYXzmmxoPLXmTeZjE24nC/bJIvCOOr8SrV97uLBN/eVd/rRKAxYDfRWOet3h5D0o3990q78aNSlfeK/dsRODeqYCutIOi7DyQF3GnicLzPBdcFWqDu5DnMmA/4BYR+TUmIt8AHIgp2X152g5HVuBe+iHzWk073sLMT8vKySSrJ33L4b11S4I2VfBXCXRZqsFSVWLz3yucaHusXPCkTpbl7dbqdlMmsnJPmDASr4+tBWiRdp6E7ZIXcVvyg7N+5a3AR4DjMFVYZ4Cb2q3nZAXuw5V5t0Tu3Q7KL/FOonDv3pONx2ErJyFyN5yw2tzBJV6bo+8oxorN0Xe5LExOjjXJuyll4kTdumIDWhinPrbGRN0ZCFtLKzPPgw+itG0apXeIyFuA5zsPv6qq7+u0TyvwHhC1h18SiQfJu6lSoD9l0sY2ZnMzD/H4bx5i27ZKU147C8aLJv/t3rxcjr4LieRdL6+mXl6da9EMgrztzcy+83+BTZhCfj8HPtRph1bgPrKOvLPYgNVPkLxbUibOopsmcc/NtEh7dusjbNmyyPYdFR7ZAY/tFlatUPaeVqYn41dKupF0+PEiKyeLTE2VmJwcY8XqPRifXsf41PrQNEl9bA31sXWdv1ERZBl9D4K8h4X6YM8D/yrwNkzRvq9n0aEVuEMebmRC6+Ief/SdWN7zW5tqcrsbKfilvXUXPLxTWKgsS3ihImyZFVaUYZ9Vyt5r0+fqV06W2GOPcdY+4aDYvHatB8LuFlbelhScitnARjCryTtm5AXeTXF3Gn175R2WMmnKeTurJ70LcNw53Nse+Tnbti3x2NalQGkHsVCBn88IP5+BPaaTReVrVpfZY49JVu97GNNP2AyrNuUuHZJZvRgrb0sKVFUxUXhmjKzA8xJxh5FK3rUFI++dv0a3P8DSzAPMzTzUkPb2HRV+s015bDfsXGhv5suW2eio3C9u2Xg4rDuU6tQBuYmubdrEMmyMnMB7Ke64aYJhe1A22kJkDZgqgW6qZPsDLM48wM7f3Mfs1kfYtm2pUQlwqVJndq7O7JI0ikt1wkIFZpdgaq7O9GSBPfdYwfqNa1i172Ym996MbDgcXXcolcn9WCxuYH6hBs4sxXLJXL9UWo7i3fco6L3Ikn6uvOwHUlvIZH/OvKEK1cGdB545IyFwpf8RtyuotKJuyWs7qyR3b32QpdkZFnZsYef2HWzbVgm87li5wF4bxthrw3Lb7rkqM7N1Ht4hiSJyN32y14axRl571b6HUVh/KLLxcGrTB1GdOoDd1ZCKgqXlawTJG5pn37iLSLq5ccWw4n5usibpz0+e9nYdBUZC4L0kKqoOErX3+8ZNSTcd4sh6cecW5mYealQAdEu3bt9RaZRtHSvChimTyohj5WSJlZOw357N7e5NzbGSste6EnvuMc66vfdl1d5PYmyvzciGJ1NffTDVqQOZV9/mSCGb75RLEiptl27/0A/7fO8wabcbhXeyCrPfgdKoYQXeAf6oGqJl7Rc10Hzjceevm2ptz259pKnO9sxsnV2Lwo4F2LUo1FUwN7QNP5+BglTZZ7WyblJZt7rEWIJNE6amSqxePc6hRz2RyfX7MrZ+/0YqpOqkQpri+xR/wbryDksnhcnbRt/xZBFtJ7mZbKWcX6zAU5A0Zx0m7Iasd/yyqVjU7i0PNiJrL4uLNXbP1Xh8R7VRY3vnwnKd7SDqCg/vEBZrsFSrsn66wMpJ89/sinpqoyPqvTYjqw+AVZuoTexNbeIJLOkEOxdqy/nqYnvboHlJK29LPN1KleS1BoolGCvwAJJEhd5Iu2k2SEjOes6Tsw6SdRDj40XGx4usWzvWaHt82xJzc7VG6sSNxsdKsHHlcuS9bu1Ys6ydqNqVtRZXUHWWpWtxnLoWqdWU+YUa1Vqdas3Iu1I14wy6AdkpvaqH7o8yO02paGG872mUuNRIVjcx8xZ91+tKJUnB+RFhZAWe9k93f6Tdsu2YMxvEO/favcHo3bFm6y4zi2Pngim1unoFTI0rq1YIa1aXmZqK/i9Zt3aMdWtb28tlYd3e+zK5fl8mNzzRzL9ecwA6vYl6eTW1gDKrbrTl/SGdWFGkWs1e1mnJohZ6aN8Z1ATPg8SjGJS9Pi2dMRICdzd0aGmPqTHSaPMUiiosbVu+wTg/Q80n7Pnds2zbttQQtj9SrnvyxwsVYeeCGeGKMqx6vML6ySVWrTDbja2cNBG4l8nJIhMrp1mxeg8TWXtXN67aRG36IOoQuOejNxIN+lO5WBRqNe2puLu9oUUUnRa0yrvE/QSNVZaix+/99NXH1lErTGY8KksnjITAvUQtkPEuSTfHAwpC+TY78G/s6+atXXkvVd18dNxONcp4wF+rXmE3Cj6t3hS4HB2Cd5+B6NymtwJjUL660xWl7vPDcuHuXwBhlRihezc1ve9ROzIP3G9ygKQOUFjaHlxDx9mVyd3sozi5njEnUPCuqq2ObezzK8gOETkJ+DDwBOBLwBmqOhtx/s3Aear6/R4NsYmeCdz7QkVEgCuAM4DdwMWqepVz3gGYneePAX4CvEZV73KOvQq4FFgFXAu8SVVDJrB5qVNYfDyxpAF0cRYNqdwXtb2Yuyu7u73YUo3GTcd6iAcLjtfGisslV8fKBaamSqZW9sQ0xfGJ5Wp9pUnzFVD8qZObUGF10cPEm1bs3vOD+kwi8ig6lXzQjIyspN7Sb48kn0TObp0cfw34ubmlps07pqZKrFqzuimYKK3eRNkTTNQm9jZiH1/X9BlaXKwxv1hr9NUuWleqle7kwEVkLXAdcDpwE3A1pmbJuQHnngS8FHh2VwaTkK4LPOSFng6cCBwOrAO+ISK3qOrtwDWYN+9FwOsxb+hRInII8A/AHwD3A/+O2dH+A7FjKJiXWV73pJZj+quvIge+pPU5QP0776JwwhUAFMjmzbro2c3zpy/69nxH/RWdr7k5p5+UwfLk5AQL87ua2lZMTC33F/G82dm50OPT05Ns27aLtWunAs9zZT49PdlyLe8PftD4wkgi+RUTUyzumknUH7RKfXxqPUvbw/alTU4v8tFja/YLPeb99Znles2wn5HJSbN7Qc55MfBDVb0RQEQuw0ThLQLH+KwEJPtwdoleROBBL/RU4P2q+jDwsIhcB5wsIjPA04ATVXVRRK4ALhCRw4CTgRtU9bsAIvL3wHkkEDiEf5hlv98LfU7huPcm6ToVnQo7jMnJifiTQlgxMdVWf9PT0fnQtWunEp0Xd62g8XXC+NT6jp4fJUbLQHMkcLvn8R3AniIypapNolbVdwOIyIk9HF8L/397dx4uV1Xme/z7SwJmIBFCIjQyBBqBRMYQxaGjXAa5j23btNCoF4TLFBHSihG4CCIICLZcsWlbxCDK0AzN0KaBq3gVlSYOSCQICQkEm3ANGMgAgYST4Zz63T/WLrJPpU6dITm1a3g/z7Of5Kw91Lvr7PPWqrXXXmvQ71bZvsj2aaSpg8oq36j5wJ6kmZkX2F6X7VsCFmbretonhBDyxkmak1um9XG/McCq8g9ZHurMyhtSUTcxu71RwOtZWWV5rXXl8hBCm+hjP/Dltqf0tFLSBcClVVbdAozIbbc1KUe+MoBQ66Kojr6vknujgJGkN6myvNa6cnlVkqaVP4GXLVu2RYIOITQ/21fYHla5ALOBfXObTgQW2R6cds8toKgEvpDub9Qk4A/A08BESUMAsn/3JvVG6WmfqmzPtD3F9pTx41unm1MIYdDMAqZKmpr1SLkCuK3gmGoqKoHfCpwjaaykQ4DjgbtsPws8A8yQNAK4CJiX3ey8A/ikpEmSdsrWNfSbG0JoHrZXACeResL9CXiZ1G0ZSSdKerbA8Koqqg38emA/4HlS08jZthdl604ktUVdBjwKfArA9nxJF5ImAx1B6qN5U53jDiEUyB68fuDZ8e8D7qtSfjMpsVeWTxi0YPqgbgk8f6K2u4CzsqVyu2eAQ3o4xvWk5N8vv//971dLerq/+9XBOGB50UFUEXH1T8TVP3sXHUCraJdH6Z+udVe6KJLmRFx9F3H1TyPHVXQMraK44eZCCCFslnapgYcQWoBjPPBu2qUGPrPoAHoQcfVPxNU/EVeLa4sEbrshL5iIq38irv6JuFpfWyTwEEJoRS2dwCXtIemXktZIekrSoUXHBCDpXElLJK3O4tun4HgelvSe7P+SdLWkVZJelHRGg8Q1UtKNkl6TtFTSNZK2KjquivKvSnqgiJiy1+8Wl6QTJC3Ofpc/lLRtI8QmabykWVlcy7LfZWNNvtkkWjqBA3cCPwfeBvwj6QnQQmVPns4ApgLbA48A1xYUy1GSrqPnsdqPAi6XdFADxHU+sE8W14HAu4EzGyCu8rqDgC/UM57ca28Sl6QDgauBTwI7A1sD5zVCbKSBpF4FdiT9Lg8nPY3dq1KXWb+us+bSTlo2gUuaTHqQ4TLba2zfBBzXAJ/0XaRpF8o9gIYCKwuKpeZY7bafJE2o8fEGiOtI4CrbS2wvBW4g/eEXHRfZN4HrKe7mXLW4TgGus/2bbEqwk6nyJGFBsXWScs8Q0twSRf4NNLVW7kZ4MLAIuEnSh4HngDOzp0ALY3uOpHtJY74AdJBqIUXEUm1Q+mrjrtd10Poe4joNyE+FMwV4sQHiAvgiaYiHBcBe9YypRlwHk2a6egzYlfR4+PQGie1S4DE2JvUHSTPfhH5q2Ro4qfZ9OPATYBfgB8AsSVtyBql+k3Q4aYq5ycBo4EYaoGknpyHHXbc93/brkkZJ+hbwMVKzWKEk7Uv6hnJJwaFUGgccCxxH+lDZlepjYBfhalLT4bakZrHdqHNzWKto5QQO8KTtW2132L4W2Irix2E4GrjF9txsmqbzgSmSxhYcV1m/xl2vJ0mHkWq5ewCTbT9XcDxDgO8D0xt0zOjv2n7W9kpS0jys6IAyRwOX2F5l+2ngW6T7Lb0qlUzn+q6aSztp5SaUxaSEDaTeFaQPrKL/0N4gtfmVdZLaxYuOq6w87np5dMia467XSzY59h3AGbb/reh4MqNJc7j+OF1eDAWGSFpqe8dCI6u4/mmMa7+scpbrDcCaIgJpdq1cA38A2EnSadnY4tNJw9cuqr3boLsfOEHS5CyuS4AHGqgGV3Ws9oJjArgY+HwDJW+yGuRWtofbHg6cDvy0AZI3pA+7MyXtk327mwE0ynt3H3CxpG0l7QZ8Brin4JiaUssmcNuvAB8CPg28RPradqxtFxzXw6SbXncCS0ltgKcWGVOF64HHSR92d9N9rPYi7Q98T1Jnbnmw6KAa2I3Ad0g3CJ8ija3/L0UGlDODdG/lj6RpzG63fXexITUnFZzPQgihTyRNeN97jnjugvO+WXO7j3xsv8dsH1ynsArVsjXwEEJodZHAQwihSUUCDyGEJtXK3QhDCC2mFBM6dBM18BBCaFKRwEMIoUlFAg8hhCYVbeAhhKZRKpVYv25D0WE0jKiBhxBCk4oEHkIITartErikz0mqOsOMpNMlnTCIrz1B0tp+bH+WpPNrHUOSJfU4eFL5fCU9mBtDxJK6cj9/UNK8zTmXchySDpW0sD/HqnLsmuc0gOP1633vx3H7/b7l9h3Uay20h7ZK4JLGACeSBmmq5mbg7GyUwN6O9TVJJW3GhMSSxkj6kaQFSpMuV46J/FHSyG0DPj7Z+do+3PYw28NIA1W9+bPth2zvO9DXaVeb+b71+VoLoSdtlcBJw33Ost0l6SOSFmaznN8taaTtdcAvSPMJ9ij7ozuRNMvPZ3vZ9nRJL0laQRo2M++fgJ/ZnkiatuyG8szhkkYDu9ie39MxcrW/JZJ2qHW+vcTYrdYs6XBJT0haLenO8mQTfYkD2CFXPjb7YPpcreNWxLLJOVXbL4v5d0ozmi/Lfpfvzh2nx/d9gMfb5Hrpx/t2paQVkpZmH/xD+nqthe5KXSXWdqyvubSTdkvgxwA/lzQBuIk01vVOwFjg89k2Pwf+tpfjnED647sY+B+Stqu2kaQ9gauy1/1L0uQI5XUC/h64BcD2i8Ac4K+zTf478JNax8jV/na2/VJP59vLuVTGvDNwG3AGaTbzDuAbfY2DNHQvkkaS5jn8oe1rejpu5etXnlMv+70LeIE0Zd79ZFOs9fK+D+R4E+j5euntfTuUNIXeHqS5Tz9G+t1C3661EHrUNglcafqrd5Em6f0EcK/t32fTmp0F/C7b9Angfb0c7h+Aa20vAf4vacLdaj5Oar6YbftVus9JuD2wDfBTSY9Lehz4AGnuQoC/Ae7t5Rh9Pd/+OD57vV9nr3cxaSz1/sQxjDQJxKu2L+zluAONB2AZaab6taSEu0tWXivWgRyv1vXSl+PuABwJvEaaC7X8odqXay2EHrVNAiclzCGkCXt3Bf6rvML2Ats/zX5cCYzK2o83oTQvo23/Kiv6Z2C6pKFVNt+Z7jOp52dRL/fBn2r7QNsHAj8DhmXHei/wcC/HqCV/vv2xGzBN0trsxt9C0tRhe/Yjjr/MXv8QSdvXOq56n2S6p3iGAytzE3SsZeN7Wus9G8jxal0vvR33t8DZpKa2l0gzHpW/sdW81kL9STpK0iJJa7JmsNE9bHeSpMVZc9lDkgqZa7edEnj5j1HACrq31b5XG3sElCr+rfRZ4NvlH2zPBpaTviZXeomNNWoq/r+ClCTyZTsDLwPvBx613dnLMWrJn29/vAxcnZsm7K3AIaQbn32NYwkwFfgNG2u/VY+b1XYHEk+t/Wq9ZwM5Xq3rpbfj7g08ZvsDpBq9gS9k+/R2rYUKpZJZv76z5jJQWVPo7cC5pL9FAZdV2e4dpBzwGWA8afrGOwb8wpuhnRL4MtIf6XbAvwPHSdovqyF+k1QDg9S+2ZF9Ve5G0u6kZo5bK1Z9i1TLqnQPcEz2B78tUG5OwPYGUo37f2bHnkhqI32A1Pvk3t6OkekCxvVyvv1xD/AJSRMljSK1D3+xn3Gsyc7vXOBUSfvWOG41+WP1Z7/8OfQU60COV+t66e247yLdnP4LUvIeTvrdQI1rLRTio6QP21nZlIxfIzWfVToM+IXtH2dz2f5v4IBqN+UHW9sk8Kw2+ztgP9tzgQtIN9meIX3N/X626b6kmmM104FRwNOSlpQX4Erg/ZKmVLzmk6Ta1t3A08BPKo73D8C7JT1LanOdbvt50k2uH/fxGPcCv5c0vqfzrfW+VMpe7/wsnpdJTQNn9jUOUo2kfKynSD11runpuD2E8eY59XO//DlUjXWAx6t1vfR23JtJ9yHmkWaKX0b6wIfa11qov/2Bubmf5wE7SNqmYrtZpL/dsoOBN0j3OOqqrebElHQO8FbbF9XY5kpgie1v97RNs+jL+YbitNK1Vg+SJkw+4APPfebUTVo1ujn9sx8c0JyYkq4Hnrd9ea5sA7Bb1kus2j7HANcBX7Fd90mj26YGnvke8BFJVQfxkrQVqfb7g7pGNXhqnm8oTgtea3VR6iqxYd2GmgswTtKc3DItfwxJF2jjU8hvLqT7RiNy222dlb1SGYekcZL+A7gGOLWI5A1tlsCz7l3fpXq7FqSuYNfZfqN+UQ2ePpxvKE5LXWsNZrntKbllZn6l7StyTyG/uQCzSc1aZROBRVk795uyexyzSTe397F9LwUprGYm6UvAlyqKhwInkx6WOC8r+7bti7N9xgL/CnyQ1J746awXSJ/Zvq7Guhv7c6xmUOt8Q3Fa8VprAbOAqyRNJbV/X0F6OKvS8cCfbRf+FG1hNXDbl5e7XGXdrqaS+s6+QuqqN5V0c+B4SeUHIq4h3SB6O3A5cHf2NSeEEDaL7RXASaQbz38i5ZorASSdmHU2gHSz84NVmmF2q3fMDdGEkrXR3kR6wu1Y0lfLBVmPjO+Qume9JVv3Jduv2r6ddEf/sKLiDiHUV8mD1w8cwPZ9tne3vY3tk53GrMH2zbb3zP4/3faQKs0wz2+BU+yXhkjgpPEjnrf9n2zalWc+6SnAvYDVTo+vV64LIYS2U3jvhGzMji8Ax2VFY+j++PfrWVlleX5dteNOA6YBjBo16uC99tprC0YdQhiouXPnLrc9vvctQ28KT+DAR4CXbT+a/fwqua48wEhSu3hleX7dJrI7zzMBJk+e7Nmzf1VtsxBCnY0aNbLuTQ2tqhGaUE4mjVxXtpDuXXkmAX8g9TrZruJx1fK6EEJoO4UmcEkijS3yYK74VuBMSW/PRvg6G7jN9hrSI9aXSBoh6VTSaG+P1DvuEEIxSl1pVvpaSzspugllX1KzyBPlAtsPSLoZeBLoBL5m+5fZ6s+RJkBYSaqpH+teZpsJIYRWVWgCzwYAGlml/DKqDOPoNOvMh+oQWgghNLxGaAMPIYQwAEU3oYQQQp+VJzUOSdTAQwihSUUCDyGEJhUJPIQQmlS0gYcQmkapZDas3bwBq1pJ1MBDCKFJRQIPIYQmFQk8hBCaVLSBhxCaRqnLrO+INvCyqIGHEEKTigQeQghNKhJ4CCE0qWgDDyE0jVKX2RBt4G+KGngIITSpSOAhhNCkIoGHEEKTigQeQghNKm5ihhCahrtKbOhor4mLa4kaeAghNKlCE7ikcyUtkbRa0i8l7aPkakmrJL0o6Yzc9rtLmi2pQ9IjkiYWGX8IIRSpsAQu6RBgBjAV2B54BLgWOAU4ApgEHAVcLumgbLebgYeAHYC7gdvrHHYIITSMItvAuwDnYhgKrAROAL5u+wXgBUm3Ax+XtAI4CDjC9jpJ3wAulLSP7YUFxB9CqLOuzhLrVkcbeFlhCdz2HEn3As9kRR3AgcBvgLm5TeeTauQHAAtsr8v2L0laCOwJRAIPIbSdIptQDgf+DpgMjAZuBG4FxgCrcpu+npVVlufXVTv+NElzJM1Zvnz5lg0+hBAaQJE3MY8GbrE91/Zq4HxgSrZuRG67kcArwKsV5fl1m7A90/YU21PGjRu3ZSMPIbQkSUdJWiRpjaQ7JY3uYbvpkv4s6TVJ90v6i3rHCsUm8Dcqfu4ktYs/DuybK58E/AF4GpgoaQhA9u/ewBODH2oIoRE4G8yq1jJQkrYjdYw4F9gZEHBZle32Bb5CpHQQiQAADoZJREFUqoTuRGoJ+PqAX3gzFJnA7wdOkDRZ0gjgEuAB4AbgHEljs54qxwN32X6W1F4+I9v+ImBedrMzhBA210eBx2zPsv0K8DXgE1W2+wBwv+1HstaDW4F31jHONxV5E/NhSV8E7gTGk7oHngosB/YDnic1m5xte1G224nALaRPxUeBT9U77hBCy9qf7h0o5gE7SNomS9Rl1wPfA5C0PamS+eu6RZlT6KP0tn8A/KDKqrOypXL7Z4BDBjuuEEJbGkOqOAKQdVfuzMpX58o3AEg6HZgJrAWOrG+oSTxKH0JoGqVsLJRaCzCu3AMtW6bljyHpAkmdlQupQjsit93WWVlPHSWuJ3Wk+F/ALElbDdJp9ygSeAih1Swv90DLlpn5lbavsD2scgFm070DxURgke2O/P6SLpR0QnasDuA7wFh66NI8mCKBhxBCMguYKmlq1iPlCuC2KtstA86XtIek4cA5wJO2V9QxVqAfbeCS3kkas6TsLaR+3Dtu8ahCCKHObK+QdBJpzKXxwF3AlQCSTgS+bHtP4Puk2vmvSU0uvwaOKSLmPiVwSZcDnwHWkfpGmnSCVw1eaCGEUF+27wPuq1J+MymxY7sT+Hy2FKqvNfBTgHcB2wKft/0pSecBwwctshBCqOCYlb6bvraBjwb+RHqQ5oCs7DqqdPULIYRQH31N4LNJCXsYsJWkI4HDSE0pIYQQCtDXJpRPAeeRNaGQHr4ZCkwfpLhCCCH0ok8J3PZyUgIHWEwa6CWEEOqqVCqxYf36osNoGDWbUCRNkvTbbMjEX0h6R70CCyGEUFtvbeAzgf8E3gv8jmwAlxBCCMXrrQnlYOC/2d4g6SvA0jrEFEIIoQ96S+BDyyNv2X5DUqGjF4YQ2lvJXaxf39H7hm0ixkIJIYQm1WsNXNKPsv8L2Dr3MwC2PzwokYUQQqiptwR+SsXPd7Dx4R0RD/KEEEJhaiZw2zcBSHovcCmwW26fcgK/eTADDCGEslKpxIYN64oOo2H09abkv5Jma76YNHN8CCGEgvU1ge8AXGY7PvpCCKFB9LUXyk0Mwrgnks6UtFjSKkkzJW2t5Oqs7EVJZ+S2313SbEkdkh6RNHFLxxRCCM2iZg1c0gJSO/dQ4B2SvkR6mOfNm5e2Jw3khSW9D/gSaTbnpcA9pMlBXwSOACaR5pn7haRHbM8ltbc/BHwY+DSpWefAgbx+CKH5uNTFhg1riw6jYfTWhHJGL+s3x9HAbbbnA0i6hnSjdDnwddsvAC9Iuh34uKQVwEHAEbbXSfoGcKGkfWwvHMQ4QwihIfXWC+WhQXztrYE1uZ8F7A7sBMzNlc8n1cgPABaU2+FtlyQtBPYEIoGHENpOkU9i/oxUs54gaRzwWVJTzRhgVW6717OyyvL8uhBCaDuFjW1i+35JBwG/AtYDs0g18JGkmZ7LRgKvAK9WlOfXbULSNGAawC677LJFYw8hhEZQWA1c0h7AD22/3fbuwJPAb0jNIfvmNp0E/AF4GpgoaUi2/xBgb+CJase3PdP2FNtTxo0bN4hnEkKoF7tEZ+e6mks7KbIJ5WDgLkk7SNobOB+4HrgVOEfSWEmHAMcDd9l+ljSp8gxJI4CLgHnZzc4QQmg7RQ4Pew/wQeApoBP4qu0HJf0S2A94ntRscrbtRdk+JwK3AJcBj5Lm6gwhhLZUZBt4ifRw0PSK8i7grGyp3OcZ4JC6BBhCCA0uJmgIITSNGMyqu5jQIYQQmlQk8BBCaFKRwEMIoUlFG3gIoWmUSjGpcV7UwEMIoUlFAg8hhCYVCTyEEJpUJPAQQtOwu+jsXFtz2RySjpK0SNIaSXdKGt3L9u+UtE7Sjpv1wgMUCTyEEABJ25Fm+ToX2Jk0R8FlNbYfShq/aeu6BFhFJPAQQkg+Cjxme5btV4CvAZ+osf0M4Ld1iawHkcBDCK1GA9xvf7rPBjYP2EHSNpu8gLQXcDJpVNTCRD/wEEKz+PM63qBUKvW4wXo6ALaWNCdXPNP2zD4cfwxpFFQAsrl3O7Py1eXybC6CG4DP2V4jDfTzYvNFDTyE0BRsrxvGW8pJuqrVLAO4oTyZS7Z0S96SLpDUWbmQKrQjctttnZVVzvp1FvBH2z/dQqc2YJHAQwhNYxvGlZN0VatZDlAzsdq+wvawygWYTffZwCYCi2xXfmIcCnxS0lpJ5W4viyX9TT9PZ7NFAg8hNI2lLNgvS9KbMGZdaumYP8DDzwKmSpqa9Ui5Arhtk9exj7H9FtvDbQ/PiifYvm+ArztgkcBDCM1k/jpWY7zJig5WMZy3YnvTlX1gewVwEnAz8CfgZeBKAEknSnp24GEPjriJGUJoGra9nXamg1WMZNtu61aznG3YvAnMs1r0JjVp2zeTEnu1fQq7ixkJPITQVLZhPKtZXiWBL2MNKwt5IrIo0YQSQmgqS3h8x8p28C46KVHC9ksFhVWIuiVwSQ9Lek/2f0m6WtIqSS9KOiO33e6SZkvqkPSIpIm5dZ+StETSa5K+Iym+QYTQZmy/VKKLLjrfLFvDCkYxtsCoijHoCVDSUcDfAX+VKz4FOAKYBIwFfiHpEdtzSe1MDwEfBj5NGpvgwOzJp38G/hp4Fvh30oz2/9RbDEOGDGHkyBG9bRZCaBKjGMsaVjKGtwGp/XsFi48sOKy6q0cN/K9IHxSrc2UnAF+3/YLtJ0lJ+uOSdgUOAi61/RrwDWCCpH2ATwL32P617ZeBb1J7nIIQQotazn8dme8PvoaVkPpxt5VBT+C2L7J9GrAiV1w55sB8YE/gAGCB7XXZviVgYbaup31CCO1n9hvZA5Lr6WAYb8H25o0l24SKuok5BliV+/n1rKyyvNa6cnkIoc3YXjuUrdhAxxbpPtisiroJ+Cq5MQeAkaTxBirLa60rl1claRowDWDXXXfd/IhDCA1lG8bzOstZzTJW8ef9i46nCEXVwBfSfcyBScAfgKeBidloX+VRv/YGnqixT1W2Z5YHsxk/fvwWDj+EULSlLNh/NcvKj8/PKzqeIhSVwG8FzpE0VtIhwPHAXbafBZ4BZkgaQRprd57tF4A7SAPITJK0U7Zuk3EKQghtY94bvMJwxgz48flmV1QCvx54nDT27t3A2bYXZetOBP4eWAkcThqbANvzgQuBB4GngJ8DN9U37BBCo7Dt0byN0VlXwnakdvjgkvQ6qXmm0YyDHoZWK1bE1T8RV//sbbvmZMGhb9rlScanbU8pOohKkuZEXH0XcfVPI8dVdAytIsZCCSGEJhUJPIQQmlS7JPC+TGhahIirfyKu/om4Wlxb3MQMIYRW1C418BBCaDktncAl7SHpl5LWSHpK0qFFxwQg6dxsXPPVWXz7FBxPn8ZqLziukZJuzMaCXyrpGklbFR1XRflXJT1QREzZ63eLS9IJkhZnv8sfStq21v71ik3SeEmzsriWZb/LoUXF1sxaOoEDd5Ie+Hkb8I+kJ0ALlT15OgOYCmwPPAJcW1AsR0m6jp7Haj8KuFzSQQ0Q1/nAPllcBwLvBs5sgLjK6w4CvlDPeHKvvUlckg4EriYNw7wzsDVwXiPEBlxKGttoR9Lv8nDS09ihn1o2gUuaTHqQ4TLba2zfBBzXAJ/0XYDZ2Ad/KOmp0yL0eaz2BojrSOAq20tsLwVuIP3hFx0X2TeB6ynu5ly1uE4BrrP9G9uvAyfTw6S8BcTWSco9QwBR7N9AU2vlB3kOBhYBN0n6MPAccKbtriKDsj1H0r2kMV8AOki1kCJiuQhA0hG54mrjrufXFxXXacD/y/08BXixAeIC+CJpiIcFwF71jKlGXAeTZrp6DNiVNNP69AaJ7VLgMTYm9QeB/1Pn0FpCy9bASbXvw4GfALsAPwBmSRpeZFCSDidNMTcZGA3cSAM07eQ05Ljrtufbfl3SKEnfAj5GahYrlKR9Sd9QLik4lErjgGOB40gfKruSEmcjuJrUdLgtqVlsN+rcHNYqWjmBAzxp+1bbHbavBbYiDU9bpKOBW2zPtb2a1LY7RVKjzMjar3HX60nSYaRa7h7AZNvPFRzPEOD7wHTbHUXG0oPv2n7W9kpS0jys6IAyRwOX2F5l+2ngW6T7LaGfWrkJZTEpYQOpdwXpA6voP7Q3SG1+ZZ2kdvGi4yorj7teHh2y5rjr9ZJNjn0HcIbtfys6nsxo0hyuP06XF0OBIZKW2t6x0Mgqrn8a49ove6Pi5w3AmiICaXatXAN/ANhJ0mnZ2OLTScPXLqq926C7HzhB0uQsrkuABxqoBld1rPaCYwK4GPh8AyVvshrkVraH2x4OnA78tAGSN6QPuzMl7ZN9u5sBNMp7dx9wsaRtJe0GfAa4p+CYmlLLJnDbrwAfAj4NvET62nZs0QO/236YdNPrTmApqQ3w1CJjqlBrrPYi7Q98T1Jnbnmw6KAa2I3Ad9g4fv6jwL8UGVDODNK9lT+SZpK/3fbdxYbUnOJR+hBCaFItWwMPIYRWFwk8hBCaVCTwEEJoUpHAQwihSUUCDyGEJhUJPIQQmlQk8FAoSYdKWlh0HCE0o0jgoSU1wLDBIQy6SOChEQyRdG02c9Jzkt4naZikqyT9WdILkr6cjWdDNstMfuaZxZLeI2lCNlvP5cCyws4mhDqJBB4awTtIgy+NA24jDXt6LnAIaaz09wPHkMYE783bSIO07TQYgYbQSCKBh0bwGmm2nQ7gR8AE4CTSkKMv2V4MfJ2UxPviUttrByPQEBpJKw8nG5rH0twgY12k6/LtwLO5bZaRatfV5Csi621XDlcaQkuKGnhoBNVGVFtGmoy3rNzMAlAiu3azm5XbD2ZwITSqSOChUd0FfFnS9pJ2Bz7Lxkl5l5DmxAT4BGnWoBDaTiTw0Ki+TJq0eBFp/sTbbc/K1p0DTJP0JHAoMK+QCEMoWIwHHkIITSpq4CGE0KQigYcQQpOKBB5CCE0qEngIITSpSOAhhNCkIoGHEEKTigQeQghNKhJ4CCE0qUjgIYTQpP4/MGPYoK6PYScAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.4,0.41,0.01)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dthetadt_diffs_latlon_mean.T*3600., \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rthblten_diffs_latlon_mean.T*3600., \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rthcuten_diffs_latlon_mean.T*86400., \\\n", + " cmap='PuOr_r', levels=levels, extend='both')\n", + "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s=r'(a) $\\Delta$ d$\\theta$/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s=r'(b) $\\Delta$ d$\\theta$/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s=r'(c) $\\Delta$ d$\\theta$/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "# cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "# cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "# cbar_ax1.tick_params(labelsize=fontsize)\n", + "# #cbar1.add_lines(contour_line1)\n", + "# cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "# ax2pos = ax2.get_position()\n", + "# cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "# cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "# cbar_ax2.tick_params(labelsize=fontsize)\n", + "# cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('$\\degree$C hour$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.4,-.3,-.2,-.1,0,.1,.2,.3,.4])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dthetadt_day1.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 232, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-1,1.1,0.1)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dthetadt_400_latlon_mean.T*3600., \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rthblten_400_latlon_mean.T*3600., \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rthcuten_400_latlon_mean.T*86400., \\\n", + " cmap='PuOr_r', levels=levels, extend='both')\n", + "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s=r'(a) $\\Delta$ d$\\theta$/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s=r'(b) $\\Delta$ d$\\theta$/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s=r'(c) $\\Delta$ d$\\theta$/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "# cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "# cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "# cbar_ax1.tick_params(labelsize=fontsize)\n", + "# #cbar1.add_lines(contour_line1)\n", + "# cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "# ax2pos = ax2.get_position()\n", + "# cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "# cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "# cbar_ax2.tick_params(labelsize=fontsize)\n", + "# cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('$\\degree$C hour$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.5,-.4,-.3,-.2,-.1,0,.1,.2,.3,.4,.5])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dthetadt_background_day1.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 231, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-1,1.1,0.1)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dthetadt_1000_latlon_mean.T*3600., \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_1000_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_1000_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rthblten_1000_latlon_mean.T*3600., \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_1000_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rthcuten_1000_latlon_mean.T*861000., \\\n", + " cmap='PuOr_r', levels=levels, extend='both')\n", + "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_1000_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_1000_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s=r'(a) $\\Delta$ d$\\theta$/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s=r'(b) $\\Delta$ d$\\theta$/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s=r'(c) $\\Delta$ d$\\theta$/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "# cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "# cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "# cbar_ax1.tick_params(labelsize=fontsize)\n", + "# #cbar1.add_lines(contour_line1)\n", + "# cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "# ax2pos = ax2.get_position()\n", + "# cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "# cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "# cbar_ax2.tick_params(labelsize=fontsize)\n", + "# cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('$\\degree$C hour$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.5,-.4,-.3,-.2,-.1,0,.1,.2,.3,.4,.5])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dthetadt_background_phys_day1.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# dmsedt time series" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-19T22:02:50.947617Z", + "start_time": "2018-06-19T22:02:50.780354Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_dry_latlon = ptot_400_midpoints[:,:,dry_latlon_subset_midpoints]\n", + "\n", + "dmsedt_400_dry_latlon = dmsedt_400[:,:,dry_latlon_subset_midpoints]\n", + "dmsedt_1000_dry_latlon = dmsedt_1000[:,:,dry_latlon_subset_midpoints]\n", + "dmsedt_diff_dry_latlon = dmsedt_1000_dry_latlon-dmsedt_400_dry_latlon\n", + "\n", + "dmsedt_400_dry_latlon_areamean = numpy.nanmean(dmsedt_400_dry_latlon, axis=2)\n", + "dmsedt_diff_dry_latlon_areamean = numpy.nanmean(dmsedt_diff_dry_latlon, axis=2)\n", + "ptot_400_dry_latlon_areamean = numpy.nanmean(ptot_400_dry_latlon, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 186, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-26T00:28:20.136590Z", + "start_time": "2018-06-26T00:28:18.930926Z" + } + }, + "outputs": [], + "source": [ + "convergence_400_dry_latlon = convergence_400[:,:,dry_latlon_subset_midpoints]\n", + "convergence_1000_dry_latlon = convergence_1000[:,:,dry_latlon_subset_midpoints]\n", + "\n", + "advection_400_dry_latlon = advection_400[:,:,dry_latlon_subset_midpoints]\n", + "advection_1000_dry_latlon = advection_1000[:,:,dry_latlon_subset_midpoints]\n", + "\n", + "advection_diff_dry_latlon = advection_1000_dry_latlon-advection_400_dry_latlon\n", + "convergence_diff_dry_latlon = convergence_1000_dry_latlon-convergence_400_dry_latlon\n", + "\n", + "advection_400_dry_latlon_areamean = numpy.nanmean(advection_400_dry_latlon, axis=2)\n", + "convergence_400_dry_latlon_areamean = numpy.nanmean(convergence_400_dry_latlon, axis=2)\n", + "advection_diff_dry_latlon_areamean = numpy.nanmean(advection_diff_dry_latlon, axis=2)\n", + "convergence_diff_dry_latlon_areamean = numpy.nanmean(convergence_diff_dry_latlon, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-19T22:35:33.471860Z", + "start_time": "2018-06-19T22:35:33.432388Z" + } + }, + "outputs": [], + "source": [ + "xx_dmsedt, pp_dmsedt = numpy.meshgrid(numpy.arange(241), ptot_400_dry_latlon_areamean[0,:])" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-20T16:56:21.019765Z", + "start_time": "2018-06-20T16:56:19.460712Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 129, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(6.5,2))\n", + "\n", + "ax = fig.add_subplot(111)\n", + "ax.tick_params(labelsize=fontsize)\n", + "contour_plot = ax.pcolormesh(xx_dmsedt, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, vmin=-.05, vmax=.05)\n", + "\n", + "ax.set_ylim(1000,300)\n", + "#ax.set_xlim(0,240)\n", + "ax.set_xlim(0,84)\n", + "\n", + "ax.set_xlabel('hour', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "fig.colorbar(contour_plot)" + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-20T16:58:24.768605Z", + "start_time": "2018-06-20T16:58:23.229485Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 130, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(6.5,2))\n", + "\n", + "ax = fig.add_subplot(111)\n", + "ax.tick_params(labelsize=fontsize)\n", + "contour_plot = ax.pcolormesh(xx_dmsedt, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, vmin=-.25, vmax=.25)\n", + "\n", + "contour_line = ax.contour(xx_dmsedt, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax.set_ylim(1000,300)\n", + "ax.set_xlim(0,84)\n", + "\n", + "ax.set_xlabel('hour', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "fig.colorbar(contour_plot)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 177, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-25T23:44:38.269502Z", + "start_time": "2018-06-25T23:44:17.837898Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "# contour_plot1 = ax1.pcolormesh(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# cmap=cmocean.cm.balance_r, vmin=-.2, vmax=.2)\n", + "\n", + "levels = numpy.arange(-.15,.151,0.0125)\n", + "contour_plot1 = ax1.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1000,300)\n", + "ax1.set_xlim(0,24)\n", + "ax1.set_xticks([i for i in range(0,25,6)])\n", + "ax1.set_yticks([400,600,800,1000])\n", + "#ax1.set_xlabel('hour', fontsize=fontsize)\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "# contour_plot2 = ax2.pcolormesh(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_diff_dry_latlon_areamean.T, \\\n", + "# cmap=cmocean.cm.balance_r, vmin=-.05, vmax=.05)\n", + "\n", + "levels = numpy.arange(-0.05,0.051,0.01)\n", + "\n", + "contour_plot2 = ax2.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "contour_line2 = ax2.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1000,300)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(0,24)\n", + "#ax2.set_xlabel('hour', fontsize=fontsize)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(0,25,6)])\n", + "ax2.set_yticks([400,600,800,1000])\n", + "\n", + "ax2.add_patch(matplotlib.patches.Rectangle((12,700),8,-400, \\\n", + " fill=False, \\\n", + " edgecolor='0.1', lw=2, clip_on=False))\n", + "\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "levels = numpy.arange(-0.015,0.0151,0.0025)\n", + "contour_plot3 = ax3.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(700,300)\n", + "#ax.set_xlim(0,240)\n", + "ax3.set_xlim(12,20)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(12,21,2)])\n", + "ax3.set_yticks([300,400,500,600,700])\n", + "\n", + "ax1.text(s='(a) control dMSE/dt', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dMSE/dt', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ dMSE/dt zoom', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "cbar_ax1.tick_params(labelsize=fontsize)\n", + "cbar1.add_lines(contour_line1)\n", + "cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "cbar_ax2.tick_params(labelsize=fontsize)\n", + "cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax3pos.height])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.01,0,.01])\n", + "\n", + "conpatch = matplotlib.patches.ConnectionPatch(xyA=(12,300), \\\n", + " xyB=(12,700), \\\n", + " coordsA='data', \\\n", + " coordsB='data', \\\n", + " axesA=ax3, \\\n", + " axesB=ax2, \\\n", + " color='0.1')\n", + "ax3.add_artist(conpatch)\n", + "\n", + "conpatch = matplotlib.patches.ConnectionPatch(xyA=(20,300), \\\n", + " xyB=(20,700), \\\n", + " coordsA='data', \\\n", + " coordsB='data', \\\n", + " axesA=ax3, \\\n", + " axesB=ax2, \\\n", + " color='0.1')\n", + "\n", + "ax3.add_artist(conpatch)\n", + "\n", + "fig.savefig('manuscript_fig9_dmsedt_profile_first_1days.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#mean_dmsedt_24h = \n", + "\n", + "ptot_400_dry_latlon_areamean.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 197, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-29T18:15:23.705795Z", + "start_time": "2018-06-29T18:14:51.294321Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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ffx6hUFh/ZQNYrVYkk0mudcfGgqj0KE8+I9EI3O78J6bxeBwOhdAyo6RZ2rAojEZjcMkFKgoXl4ylQQrGmVKjJVCNHO/JgIiaHM6qVDoVR1XtMtjsuRMgu6McVbXLkIiPwemqTRORftzQPsQ+KVD18PnKEAwquxKlEJEwHZURjyfg5Jwxn3nmmWhvb0eiRBdWV1c3d/wfkDu7Fi94u0LskMj24USOe1zE6XTihht+iIceegjRWExxHTUrsRahUBA+n093vXSawWJRvhmn0/wWCYvFqjQXKRrRaAQeD78AicdjcCjE+THGNMckuvIES6sxIZEXDKq/vxLRaDQrXg4qlhq18w0QYv6aGvmt0UZxWcAtUIeHh1Gl8EBVs6CqjWvjxo8xd+4cYztqACOWueHhIVSpTFgtFovhCcWUKVNwyCGH4A9PPmVoOz0cdjsSnHHGgUAAFSrCJxqNKVrBjVCMe4fL6UQ8HudenzGGsbFR+GSW4XQqVfC1Pzo6Nh4nXigejwfhMN/kZNeu3ZjS2KC4jMj4uVdirnZ7GuCr2E9TzFssVvgr58Hh9APAtydt7z4F7LMCVcuK6vV6EQwGdT/DYrEizXIfMkkDViMigtfr5b5AjTI8PDRu/ZS79ZXc/LFYLMuClUgmNcUpD7NmzcLChQvx5D9fKOhzpKi5TuWkUuouR0Gk8V0CVVVVGBoaMrSPRhBcZvzrh8MRlLtyJ0G8N2i7gYf3ZBKJROCWeB8YtAW3nHQ6jcHBQdTJkseKid1m47bUDAwMoEYhoUMQchP3Di3BDQAffvghli9fbmxHDeBwOBCPK08g5fT396O+VjlPRB5S0zkSUo0blvKd73wHjz/+OMKRCN8OKyC39gtj4hN0gYC6ZS4ajSqGNPCMCxCEUzpduHByu9wIh/l/n3A4DJvNlrPvSZlA5R2HlEBgGBUVxr1qSvj9foyMqMf2inR1dSGVSmJKU24imxri+ZfPGIuA1emugd3p53o5XNUAMAlWg08P+6xA1cLn8yEYHNNdz2q1IKVgBUmlkugLRrm/z+v1Ihgq/gUUi8UQi8W4LI0iiUQiS5AmE4lxgSdNkNoVYNgVyL7pat0Ezj//Avzxj48WzVIciUSyLW0qpDSsBek0v5uq9ALVWFxYJBJWrY7QN6Z/LtlsdoST/C5mOfK4bTWMWjSi0WiWO1WwMmb/Llpibnh4CD6fr+BJlRS58DEi7gcGBlFbrSxQUyn+3/+DDz7AYUsWc69vFIfDiViMT8z19w/kVI8QEQRq7jWuJxCamqZg/vwFeP2tt7j2gQenk190Dw8HNAWq/F4jjkc6LrW4fovFWDiHGh6PG9Eov0AdGRmB358bmqZ1T+RlaGgYdRXlBX2GSHl5OUZHR3XXW7NmDZYuXcZ9n9xDotSkiJgCVYHach+Gh4d117NYLEgrPGSMWFABwcUhT0zKB7mrfGh4GJWVVYaEjzwGMJFMwW63a2av8rD//vujubkZq1/6V0GfA2BcHPCIEK2YuHQ6jUAk+wGmlvRVVVWFwcFBg3tqFCMCNQKvRmUEPRwOO5JJ4xZUXmEqxZjwjsAjEQOCcFd++CsJ1b6+ftSqWPeKhc1mU41rlpJOpzE8PIQaFYHKK977+vowMjKC2bNmGd5XJZTiih0OO7e1cWCgH7W16gKV57dR4thjj8Xzr/wnr22VcDqdiKmEFckJBIZRrRK2EInF4HTmH4MqxIsXQaC6jVlQR0ZGUF6eKyKNCFS1+/7w8DCqKpUFvVF4Lahr1nyIQ0o4STPZ+9gnBCpL8MftAEBVZSW/QFVx8fPcAMSLv1QW1KHhQE7tPT1yBWpCU2zLrahafOtbF+I3992PwSH931YLXvc+IGQVqyVCCRZUyimdpcRkuPiNEA4rW1C1PkYq6PZmF7/UWmXUxd/fX3qBarfZuH67QCAAr9erOJESLKh8Qu7DDz/E0qXLSpbBD/C7+JPJJAKBgKqYExLItL0kaqLnqKOOwrvvvluQm1+K04CLX6hUoiy4YrEYXC6XakkmPSwWQroIsZEetxuRCH8o2OjoqKIFlff5pMXw8JDqOWAUIxbU5UsOLMp3ThaOsilw+/fjejk8pYub/7SyVwhUIlpIRDEiasj8fS0RDWReP5asV0VEq4koREQbiejwUuxPNacY0bKgWg1YUIXM+eLHoA5plIdSI5GIwy7JODVqDdZi6dKlOPHEk3D1jTcV5OoPK7jc1BBiUNUtqBaFG7VcqLYPCpaIaDTKbZExjrHM2khEvZQZz+fYbHufQFWyjLO0sczl/v4+1NbqV3coBBtnDKoQf6psaTRiQd26dSsOmMvXaCNfHA6+BJzBwUFUVFSo3hN4rctKVFRUYOHChXjj7bfz2l6Ow+HgCltIJpMIh8MoVwmFGosluO83ShBZwIpgQXV7PIhEItznjZqLP6kRl89LIBBQTJTLp+pHta9M14La1dWFaDSGGdP4mxSYfPrZ4wKViKwA7gPgyPx9LIDLAawAsAzA2UQkVmP/JYA+AFMA3AbgaSIqvH6HDD/njM5utyOh4CaVzlD1kh8AFMX9o0QioW39VEJeN48n092IFXXVqlUYHR3Fxk2bDO2XFKWYMDW06vUxxlSd6vLKBESE/fbbD2+//77R3eVCyEA1VhfTXUBtRpfLhWiUP046X4yUUxKtp9LjRYbrhUY0m0KoYSR0gdd13N7erllBQ01oyO8ZiURcte6onHzLgpWX+7jcrK+++ioWL1Z3s2qV+uGxPM6ePQdtHYWVNhPxcoZOdXV1oa6uTvU+F4spJ0nxU5zMcrvNBqvVyn3dqrn4WVrwSmiFbekdq9HR3OoAPCidn1WVlbrhU2vXrsHSpUt0Jqt7VQa/SRHY4wIVwNUA3pH8fQ6Auxljmxhj7QB+D+AsInICOAPADxljAcbYnwH0Azim2DskBNfrz7zdbjdCCtn3yUzmO68rqLu7G00qpTMKob6uDn19fYa2CYVCWfUQrdbixE+JWCwWzJgxQ7M5gR5ahcKVUBMCgvjWdnVJj+F5552Pux96pCSlTJxOPmuPSCgUQlmZclkqxpjuuefzlY03oygm8geQkfNHsApnj0nPTSsXc/I6vqXAy1kWZ/PmVsybN09xWTqdRt8Yn9ck3/I50a42VeEtP04zmxrR2blL8/MSiQT+9Kc/4ltfP0v1s4Ri6YJAzSdJZdeuTkyfarzsnBKVFRUYGQnortfR0Y5pGpY5IxNiJYrphaqoqEAgoD8mQN3FXwwSiYRimbt8aKyvR19fr+Y6a9euxcEHHqD7WVoC1kya+vSxRwUqEc0B8A0AN0rePgDAWsnfGwHsB2AOgCBjbJfCsqLidPBZSDwer2LQumC5nHBTbh9OZL2kpNNp9PT0oLFBWaAasYjI122or0Nvr/aFL0cufKwW9UL3UrTiN+U0NDSgu6cAgRrPtSjlk8SVTjOQgRqdRx99NCKRCN569z3D36WHkYQOQL3zj9L9WenYCM0oii9Q5Rgpnh0Oh3PCFoTfhV+481bgULqueK2oggjWL0O3efNmLJqtnNik1lBBCbWuYcVkakszOjs7NNd58cUXMXXqVCxasEB1Hd7wBzXa29sxndONq3S8pMdV9ITpxfq2t3do9rcXY1DV0BM+gsHCmEBVu+8bE6gjqFaZxMrZEQiPv3iIx+OGx6RGU0MDenSeB2vXrsWyA5cU5fsmE6u7GVbfflwvi7v4RqpPO3tMoJJQ3+cBAFcwxqRXeDkAqdoYy7wnf1+6TOnzVxHRB0T0wXDYmCvTwWlBVSswrDdjlt4EhoaG4PV6VUsGFUJlRQUikYiqS0ipO5bQUWZC+AgWsOK2j2toaERnX3/e2xuxoJJGJyKj3VAsFgvOPvscPPr0M9zb8GJUoIZCIZSpFfbPDFfrYSNt51tKjLQfVEp+czociMX4r1+hyYa+eDSKVDCUefVdx4wxtLa2YsHcuYrLeaz3gDDxIrIUlGTDY0Wd1tKCzk71yXAqlcIjjzyMb597tuZ3FSJQk8kkurq6MM1ARzW9ffF6vbrhWu3t7divRb0fu2BBFe43+Vjh8gm1UqOiopJboI6NjcGv4OIHtJMyeUSqYEHNL7pOLr7rM4YUtX0aGBjA6OgoZs2YrvlZRrwMhValMZkc9qQF9RIA2xlj8rpDAQDSp5QHwLDC+9JlOTDG7mWMLWeMLVdrYacGb8cOr9ej6OI3ckPq6upCo8GuN1quOykWiwV1dRNWVCVBKkfu4rdY+PtZi+hd/A0NDeguwMUflTUT0EJLoGp1mVLjC1/4Aj75ZCN27d5taDs9nE4nd83GVCqFWCym2H5RPl41y7bP5+OKsy4Um4GyQ4IFVebiN9A9p31wBF5vaQSqFJ4wgp6eHjgcDlRXVSkuFxL0LFyCx2rlz/jPl8qKCqTTaVWX+BtvvA6v14uDly3Lel8uNmy2/NtNdnXtRk1NTYHxntlUclRk6ehox/Rp6q1xhUL9udcar7UxmUzBbitOXd7KSoMufiWBWnCbUybUyy6S6Pa43XC73arHad26dTjggAO4PA7i0D6r7nwi+iIRbc0kij9JRKpFzonodSI6ZDL3r9jsSYF6FICvEVGUiEQTSRsEl7206fkCAOsyyyqJqEphWVERsj95XPy5AlV8kChlhyvR3d2FJpXOGIX2QQeAurp6Q27+UCiECvfEA8JmU44h7BwUXvnQ0NCAnp7u/DYGEIvxJ43oW1CN3axdLhdOPPEkPPa3vxvaTg8HZ1gJkEmQcrsVb9hEBKaQLCAXqpNlQVUr3K6EUmUCMQaV1zoyGeMq4xCoW7ZsxlwV6ymg7OJXm0zY7Y6SV1wgIrS0tKBDJUHp6aefxrlnnqF7vdjt9rwFant7B6ZNm57XtmrwuMTb29sxfaq2QBUtqCKiOOURqUmdUn1G8PsrEAjwlekbGRlVTJIqFPHcLaRUVa4VVd3Nv2HDeixapB9/+lmHiCoB/BnANQCaIRTOvlVhvS8S0d0ASlLlaDLZYwKVMXY6Y8zJGHMxxsTp6XQAXwNwMRFNIaK5AK4E8FgmDOA5ADcTkZuIvgXAB+DdYu+bw27neii63R6MRrNFRYIzIF6c4XV3dxu2oBqhvl45UUrNmirEoE64+C2cMagAv0Whvr7ecPKWlFg8u3C2aLFVstwSqdcGVeokxVOR4PTTT8c//vEPRItYcqrMbuUWqHIrdzbaAkI8Rl6vF/F4vGidvdQwUnZIEN7ZGfhWq1WoGcq5n2Vl+hZUrYkfj2dCzA7Xuj+0tm7G3LnKCVKAYIXSsgjtCITH7xEOhwOhRGEWVJ5xtbS0KMahdnR0YOvWrfjCUUfpfobNZkMikd851dbWhmkalsx80LOgBoNBRCIR1datABCNasegAhP3c6V7UD4xqGrU+X0GLajaXQTzsTQK8afF69QGAI2N6gJ1/fr1OGh/9bhnI0y2ZTXob0KgeibXK+Sr1/u4lQDWMMaeZYwNA7gTwFkK6x0OwAagtK6kSWBvyOLPgjH2AoBHAGwA8DqAXzPGXs0svgLAPABDAC4FcAZjrOi+r/GHoo5bzev15NQvNZphPjAwgAaDxfRF9JIEAKC2tg79/RNiUM/NL4iEiZuxEQsYwHcDaG9vKygDVCi+zzt7J6iVH5G3FxXFqZ5IbW5uRmNjIz7+JP9SWXKMxKAKccLKApWIwFT6fosWus6REDqGRovWwUwLu93GHbowNjamWJnA7XYjwlm83el0IhotVa1aAbvdLohGjd9u06ZNOEAlQQrIjpeTTuyUrajMUAkyIL+OX9Onz8DOnTtz3n/00UewcuWpmmE14n1Hr76u2v1hcHAQL7zwPJYtnG9wr7XRa7DR1SV4sLQsw0KZqYl7Iu9EXCQUChVUEk4KbxMZABgbG0W5Tz8GVW08asdqYKCfyzJr5BwUwr5yvWrxeBzbtm3Dwvm5kz35sy6dVi4paCT5ay9HnkD+MYB6IsrKlmWM3cgYuxBAqVsflpy9RqAyxogx1pP5/62MsSrGWB1j7H8l6/Qyxo5njLkZY0sYYx+Van/SHAXCPR5PTm9ko7NLIjLQ4NL4g2d6Qx26urqy3tMSqclkMiteyqHjsjPq5g+Hw7j55h/jhv+60tiGEpwOBxKS7mDieJTGZdRFFdPoAAAgAElEQVSFL7IrwDQrEyQSiYJajcrxcVj+RNQy+AGhaw2vmCnEHctLuc/HPa6+vj7U1eUW2a+urkZgWF1kSK2N4XBYw7pcWPa+lNraWlUvAGMMGzd+jEUL1a0+8t9eeq7Jz7uxsTFUeYt3rkmR/h4HzpuNjRs3Zi3ftGkT3nzzTaw6W8lQk4taiT4tgbB27Rqcf/75WLHiCBx/TG7VwEIs3lNqazRLGIVC6teSiFGjgxTGGDo7OzG1WT0JSw2lcVdXV2NgYIDre4X7RO61oOVV4qnG8sYbb+Dznz9Udz2A/9qa0dSI3btzy5y1tbVhypQpcHOU+Uqlcr2XnxFhKpKVKM4YiwFIQiVR/LPAXiNQ9yYYY7ouOEBw8cstqIlE0lB2Y741DnlpntKEXbv4E3qSyewuI2Idy3SRkjR+9rOf4cADD1R8EPEiWMlKX2Reitx1p5Uhmw++sjKMjfEJOXkYhhSLxYK0igVVzmS0Oy33+TAywpeM1dvbi2aFHu81NTUYlhXyVirZBgiCQ0ugFgutMJXOzg54vV7UqnSRAjKhD5y/fTqd5gob0otZ1xMLixYswKZNreMu5Hg8jttvvw0XX3yJYlF2pe9TSvbTEglbtmzB9ddfj5uvvwZXffubeU8o1Wio0y61FwrlJubJUROo4vmnNb7BwUE4nc6ixYLWVlfrFrUHhCL9DodDsTqM8FzLvkdIryd5kxI5r7/+Bo47/PPGdlwH4TmVK1C3bNmC2bP5uqjJW7juDeI0XAkE64jrFfUTACwXqw9lXqskH5eVKJ5pUmSDSqL4ZwFToCogWk/1Lai5vZGF3vX8FlTB4pUrKIqRIAUAzU1N6OriF6ipVAo2yUVORHA4HEWxor7zzjv46KO1+OGVl3HvjxIuBXe4llW4kAmA2k1ONUOWA6VjK5RH4kvukZcCk2Ix0HnJZrOVPAa13OfD2Ngo1zHo6+tFg4IF1ecrV607KhepwaB6A4NiUlenXlz8o48+wsKF+ysuE3E4+BOfkskUd9JlIfjLy3HGGafjuuuuRTwex+9//ztMmTIFZ5zwBe7P8NqyY6ml14/StfTWW2/hi188ASs+ry948rF0N9TXadbYjEQi8OpYp5UEqlTMadHR0YGpGglYRqmpruISqFrJtwT+7m5yEokENm36BActKbwmqfQ+OLW5WUOgzuH6vFQRWrjuBXwgVh/KvO6VLGtFdgL5fABbGWN88U+fQvYJgUp2Y/Xa0hzWU0CwoMpj4+LxhGpA/K4Ay4lvFGocFrcIt/TCb6ivx+DgoIGHYTInvtNms6HBV1gMFWMMDzzwAC698Ft5taKU4nLxx2sWwyIjj8VKJBKIx+M5GeeF4Cvjzz4fGxuDz6cuUPe0i196/jmdTu72jD09PWiozxWoTqcTCc5SU1rxubyTPh4hVF+vXB1jdHQU9913H85ceZLm9jYb/2+fTqdh5SzqXyhXr7oQFRWVuOyyS/Gvf/0fbrnuGkPXkNF6vmvXrsEhBy7KZ1dVkR7nRp2EzHA4lFN7V04sFkNfKIbOkZBhq1x7e3tRBWp1VRWGh4d18yO0yhcKLv78Ju2bN29GS0uL7j3c6GSiqaEB/f39OdfE1q1bsGi/mVyfofTs+ozxLIAVRLQik9H/EwCP7eF9Kin7hEA1Spqzy4vb7c4p1J9IGitgbLEQt0tWCb0bgc1mQ11dnWIAuhJKs1CHTrtJQD+xaO3atRgaGsIXjzUWY6aE0YdgsUMoRkeF8i3FdEcaKTC/e/duTGtQzvg0bEEtsYsfAMozHX20SKfT6O/vR72CBVUe16hltdIKfygmzbXVigL1Zz/7GY444kgcsny55vYOh3Z4hXSM6bR+UqD0GtK6J+glVlosFtx10w0oKyvDHTf9EBUGW2XytuxtHxxBMpnE+vUbsHTxYkPfYYS62loMDAyoCjql2rtSGGOIxWKwS+7pRrrmFWpBld8b7XY7ysrKdDP5xeQvRTTuW3r38Q0bNmD//bW9A3J4xKrdbkd1dXWWtZsxhi1btmDOfnzNIvUsqHuDy78QGGODAM6HkETeCaAPwB1EdB4RbSvmdxHRi0TUkaml+lrm9ToRvVbM79HDFKgK8FpQPZ5cC6q8zamI9MKX3uAsFgtYidsYTpkyhdvNr2xBLdzS9uCDD+L8888vygxXycWvRr4iUitsQRSoSuQbmmEkSaqzswPTVPqVC+eT+kNGeu7plQSSj0X+oOG1kvAI1OHhIZSVlcGlEOvndDpRZuc7b7QsqErk4zYGxDbC2Za5V155BRs3fozvfXeVylYTCNZrPqGTSqUmzYIKAG6XC7/76Z343LKlquuonedGJo+bN29GY2MDKisq8tpPHhwOByoqKtDbq+zmF2JQ1a2ByWRSteanXMwpZb13dnZgv2YVoZgnNTU1um7+7u5uTFXwRgDataH1+PjjDViqUmmh0LC0adOmYfPm1vG/u7u74Xa7Uc1Z5UZ4duUKVCMTimJTV5FGc22K61Vdrq8DGGN/Z4zNYIyVMca+wRiLMcYeYYzlqHjG2HTG2Dt57vqXAIwCOI4xdkTmtYIxdkSen5cX+6xAdTVOV12WTqW5BWo4nCtQjdS8M9LGMN+HaVPTFO5EKaVMSIfDzt3NR4mNGzeio6MdXzn+2Lw/Q4rL6SppkpQoTtWsCVoCNV+8mba5PNbPjo4OTGtRF6jy1rRiaIl8PHa7HUkDJcTyhad4fm9vH+rqlK3CggVfED16VpDJsqAKyTcToqe3txd33XUXfnLjDVxti+12u2KSlPQ4iWNNpdKw2tQFulFhkO99hAeXSkc0qUgQhdzatWuxZIm6CC4Wixcvxpo1axWXhcNh+N3qGfrRWEyxi5SIWO1D7bzUawKQD9UciVJdXV2Y0qTi4oeyQJWW2VMTdRs2bMBigxZUXs44+UT8+c9/Ht+3devWYd489VrCcrQsqHtSpH4aYUKc2JmZSgF7jH1WoGqR4Oz8IQjU7FlzKsXXY1uEp95qobTU1xrq3CS/eQmdbPITqMFgELfccgtWrVpVtOLOghuR77rR/n3zsyL09fWhulo9QzsfrFYrXC43V13Snp4eNKnEl/G4+MWHqd1uRzxe+hs3j0AdGhpEdXW14jKhy5b6+Sd9+ASDQfgVWsAWI+lQ+hnNU6YgEAhgx44dAICHHnoQK1eu5H54u91uRGXeF7UJUSqVNHRP2VNEeju5u/ABQoeggxYtLPh79QT3kgXzsyxzUoiAqIbHQS2Dn6ehRywWQ29vL1qmGC8xpUVNTQ36+/s11+np6UFjvVoYEF9YmVi+Taxgsm3bNqTTDFObm43vNAfHHnkkenp60NkpXGf/93//wonHHM29fTKZxEAo23ChJ0xHRgIlraLzaYYx9sme3gdToCqgVWdSitPpRCKRyBJAQrxc9g1a6WYmFQmRVGkvkJrqKgwN8VWi8Hi8OXG1wpgSaPFPuE5blLVEFul0Gjff/CMsXboEZ5xwvKF91sKIsHK5tK2t+UQAtLZuwrx56m0s88Xr9eT89nLEmDglVziQKV/EOeEpRugGD04Oi3coFFJ1tTqJcYvuybKgupxOnHPOObj//vuQSqXw6quv4syTvsS9vd9fgSBnUpxgGVIWqLqlpbrbuPepGAidw7LPKbXyRVu2bMH8udoZ2sWYWCiFYonMnTsPra3K4hUAIpFoVuMSI2zbtg1Tp041lJOguA+y30CrgoTI0NAQqquUb9I2m81Q8xWxQsozz/wFp512alFj76Vjs1qtWLhwIVpbW5FMJrF27VocevDnuD9L8F7yGUGmVfuRTCbxpS99Ke+KBjzUlQvPSp5XjXbTr32SfVKgarn3AWA0GITPp3+2EBFcLjcikoev0+E05A63223csWhGkF74VZWVmt1UpHi9XgRlVjxpktTMCvV4Lfls9dFHH8Xo6ChuuKKwslJyHA5+i67L5UIkkn84gNIMfNOmTVg8h682nxE8Hn2BKsYIq4Wg2Gw27ragLpcTkWjpK5S4XC5dq1p3dw8aGxsUl2l1M5NP/sLhcFEbKGhx7ldOw0cffYSnn34aNTU1aDFQjN3r9cCBdNakT4nOkVBO6TctpNZELXEqtzoaEYJa69o5Jz2hYBCBQIDbulhIWIJW1Y+FCxdi40Z1Q1EkFtXN8ldj8+ZWQy5qXlrqajRLZyWTSQSDQVT4lcOQrFar4YlpLBbDSy+9hDNPPtHQdiK8x2/ePGHCsHHjRjQ3N2vGJ7vrs8OchPwP/vC60dFR+Hy+z3rmf1Egopv2xPfukwJVj7GxIMrK+KYzHo87Kw5Vy/3cOZibfDMZmdRCezw+gVpWVpYjUO32XKswD2+++QYu//a3NGe1PA9G+TqOTIF5HteM2+1GLBYtmhsnnU6jtbUVC0pgQVWqCiEnHo9rWmQEMadvQe0cCcHn82GU04qnhKtpOt96LhdiMe1JglZSh5WzMoEg5pKq1sZi43G7ce655+EXv/g5jjHYeMLvdnG3mVVL/tgbsdu1E+9E2nfuwKxZsyZFHLg1LPhNTU1IJOLoVXGZRyIRuFS6GOnVf25tbcWiOXwZ6EZQStCTMjw8DL/fr/rbClZuY2FlO3bsQH19Pepraw1tZ5QD5uyHzZtb8f777+Gggw4ytK3UgqoWEyx9PxAIoKKECXqfMY7bE19qClTkPmjHgkHVOpNy3G43QhJRwVOSSaRzJJTp5lNaN6uR/s1KFlTRxW+U7u5uTGksbgYrIMRZ8gp7m80GIiraJGDXrk6Ul5eXJPPY4/HmNH6Qk0xqu7FsNhvKnXZdyxwgxobyVQ4oBJ7OX93dXWhSs6DarIoPVKXQmXQ6DQtN3m3t7FNPxty5c3HS0Uca2q7M682JX1dDzcXPXde1u83AnhUGb3WCzvY2zJqlLd6K1axECPNRnmATERYsWIiPP1G2okai0SyBun04wRV/CgCtrZsxf27xJ7LyBD05g4ODqKqqUl1u1MUPANu3b8esWbMMbZMP8+fMxebNm/Huu+/hcI0qEkokEknY7HbFagpSxOUjIwH4DZZRM5lcPh3T8iKi594HgLHgmAELarao4CmBtCvAMCtTOWMy4gBFgcoY040f8nq9GJG5xKVZ1LzE43EMDw+jTqF1ZTEQJwI88V1utxCGUWgsGCC49+fNUy6zUigejzunda4coRGEtkDlLgBvc2AwWPragHpxwIA4mVFO/LJarOOVCWZWeLB9eERxPQAYi8a4KnAAxclmdzqdeOKB+wxv5/V4uC2oqZR+HdS9BZt1YuKoVXEhHAoVvRKGlEhv57gLWG+CtHDhQqzdtBnHHpk7yYjKBKqczkGgWWGuGo/H0da2k7uGpxEaMk0i1O7nQ0NDqFKJPwUAm4KLXxTdnYPK+QXbt2/TnFDw1uHVo7qqEm63G62tm7Bk8QG660vd/MlMcrM4PdJLkAoERkpuQa0tIzRU8MXsJkvfAK8QituDmBPTgqrA2Bi/BdXjcSMsCcA3ksUKGKuHmC9ulws2m43rgVimUI9TnkU9q1I/EL23txe1tbWaMUGFWEiM9JF3udyqSRJGaW3dXJK4MkA7mUMkkdBuBKEnUKXWH6+B7lWF4HPYNK+JdDqN3t5eNDZoxaDyuSSVSsQVyxJXTLzeCYGqFNctPU7JZBI2mYu/GGMqRbkpIaY+9/yTWx2F87iw0B9e3Dqd54Q41I3K+xFRjkGVuvcVk2B37EBzczPcGuI2X8q8XthsNtXawoJAVbegiteTkbCnbdu2Y8GMaYb3NR/mzp2HRYsWGf7ttGqQK5XOMl38hli9J77UFKgKDAbDXElSgNDuVBqDarR9pBCzVfpSP5WciVJerzdHyKr1DdfK5O/u7lZttVcMjIRSuN2FJUpJLUH9/f2YWlcaq7BQQUF7EqGXCOCyELeY85aVYWxMu4B+MdCzoA4NDcHj8ao+kIx0x2KcTTb2NGUK15kaWln8UkpZ31RETzjyhiwlEnF4JylWWC8Gev78+aqZ/NFYFC6X8SSp1tZWzC2Be1+koaFBtfnK0JC2i99isWheU0qxtdu3b8Oc/ZRd/MWeAB5xxBE44QT+ihgi8XgCNgOlDAUXvylQeWCM3bEnvnfvv5PvAcLhMHc3Go8nOwbVqlJ3Uy2g3mYrPAaV58FUlenhrIfX682xoCqVztKju7sLjQbjT408YI1YUAUXv7plkideU2RkZAR+lezYQjOh+Vz8+klSahMk+TlYVubD6GjpLah6ArW7uws1NdWqFh2r1ZITgyq1Wkn/zxhfk409jceAiz+ZzHbx85xnk11eSkTI4p+4LtXcrAmN87jYgkevsYff70cqlcKIgkVyeDig+izY1T9xTOTjbG3dhEUlqPQhMn/+fHz88ceKy4aGhlBbru0BFOJQ+Sayw8PDiMViim2IS8FXTzoBXz3pBMPbJTnrl4sEAgHUlJfWrz7FZ8OsSjvXq6Fsn4u41GXvv5MXEb34UzGeZWRkJCc+qn1wZLxgsZT99tsP/37zrfG/yWIx5DpR6vxTCsrLyzEyoh67JzJ79mysX78eO9raAAgWqY0bP8kRm806cTWDg4OoqVE3sRb6EDLi9p03bx6eeeFfOe8nkynU+ycs5XpjAoBgcAy+EtXZ5CkzVVtbi0AggFffeENxudXA+eTxeifFgkoEzcLg9fUNSCQSuPja6xFVcMXG49ruYCnpNMurtu1kU67QvEDt/EulctsP7ynkpX3ky7p6ejStdyJCbGduLd9ShGM4HHbNRg9EhJNOOglfu3AV3vtwzfj777z/Ph768+OGKzSEQiG88sorOPzzh+S9z3p8fsmBeP/993PeT6VSaGpqwiNPPIm//utlxWeReI3xli5bv34dFixYWNT6p8Vmd3c3iEizba2crq4uNKh0rzNRhohOICIHEdUT0U+J6BoiKn4cS4Z9SqAqoVQqp6+vF/WSLhxSYSoXqV/96ln44IMP0LplKwCApQULzrRqv6ZlTpxxp9OpSekSo1SAX4nm5mZcdtnluOSa69DXP4APP/oI0WgEBx98MAB+a+PY2BiqypRvFloPIV4rKmP8RfYvueRSvPLKy3h/zZqs9+PxmOJDUotwOFKyOpt+l1M3i7+iogJ33XUXfnzXfyvGoKUZGz+ftGrWAkCZRoenYgqFWCymmWhSV1eHP/3pMXg8Xlx2/Q9yRGr/aDAnVkxNzAkW1L1DzGlRVVGR5dHQiuvmKUCud90U06Lqrm/JEari329/tB5Ll05kX6uNKxIOo8ybPdErVawwjxHg2muvw5VXXoUbbrsdK79+Dn7wk7tw3c234M4770JlywzFbZprJz5THOe0aj/WrVuHWbNmqbYjBoyPVb7+YYccjA8++CAnzOmZZ/6Cp556Cr/85a/wyCMP45uXX4lNm7dkrbNr9240NjbCIhGo0utJGrrV4vfivffex+c+p1wwX75fWudhqUJQhoaHcck11+Hss8/JGpMeO3bswOxZM0uyT59FiOgOAL+AkFx/N4DZAI7J/L8k7FGBSkQziehVIgoR0SdEdFTm/WuJaCDz+rFk/SoiWp1ZfyMRHc77XTzZ+yK9vb2qfcGBCWtq++AIPB4PvvGNb+AX994PQBQIuT+rWrxm70gQVmvpDwOPdU7k5JNPxsqVp+LbV16F3z/0CM466yxVt6nauMbGxuDjrIQA5HPzYuBNLPT7/bj++u/j+7fchr7+gfH3BXe5IFD1xJxIOByCx527rtoDx8i4vJzHaNGiA3DkkUfi5/f9IWeZMEFS/l3EYyVOjrxlZZPi4o9EtQUqILgcb775ZpSX+3HpdT/I+h2EsIqJcjBaYo7JLKh7Y4IUgPHEm6hK6IlUMCSTyXHX5d40HlGoSsXqmjUfYunSZQC0rylBoE5MdosxaVXDZrVyxTCvWLECzz77N/z4x7dg5syZ+NWvfo0lS5YY/r6PP/4YixYtymdXuamsqMDMmTOxRjLpDgaDeOCBBxAIBDB37lw88sijOO644/Dd//oebvnfXyIYCiEcieCxZ/+OqVP5E57ee+9drFiW+zvs6XMxFAqjdctWXHjFVTjyyCNx1MmncW8bjUbR19eHqRqTCJMczgdwBISH77GZv88CcEqpvnBPW1CfBPAygDoAdwH4ExEdC+ByACsALANwNhGJZ94vAfQBmALgNgBPE1HhtYMkpNNp9Pf3oy4Tb6Pk1pfSPjiC0077Mnbu3IE333kXb73zbs46Wq7jdHpyYuaEhgL8JYUuuOACrFhxBLZs2YITTzwJwETLO/mDp6U6d4xjY0FFV3ixbmo8JbOkHH744Tj99NNx6XXXj3f+isfj3K3xRCKRCLxePjFr9MHq5ohBFfnudy/GK6+8jI2bspM70ixbuGuJOSGLf7Tkvaj1SvWIiCK1vr4O37jsCgwODWPX7t345JON3MkMDGxS66Bqsbu7GzfccRc+WLs25zcmIlRUVMBH+sIpmUzCrpCdvLcRj8eFLmuLF+csk98f0ok493VUKFYrf7ylxWLBvHnzcPbZZ2POnIk2rHq1NaV8/PEGLF1QmkofUg477DC8+eab438/9thjOOiggxAKhZBOp2Gz2fCVr5yOJ554EvF4DF8+5zys/NrZGBkZwTXXXKP4mXKDw0BfH0ZHRzF3dnaJqT0pTj9YuxZfOe8CHHXyKbj25ltw3HHH4aKLvsP9PGjxe9HW1oaWlhbYDcSs5kNTmRMzKzxcr3qvMW/eHsABIAzgRABrGWOjANwQBGtJ2GNRuUS0FEANgFuZcPd+mIi2AbgQwN2MsU2Z9X4P4Cwieh7AGQBmM8YCAP5MRD+AYGJ+IZ99UHLvDwcC8Hg8XA9UEYfDge9857u49JprsXjxgbjsssu5txUEarZbohQXP6+LX8rFF1+Mc889V/G3EIRPdtFqqRgKBsdQzlmqKx+MClQAOP/8C9DW1oYrb7gR5/2/MxAKheF0TsxvZlXasSsQR0u1clIbYwzhcBiePFsf6uH1eHRd/CLl5eW49NJLccv//Ax/vu+e8UmOUhZ7cwUplsJxOBywWq2IRKMlGxMABOMJ7pqXNpsNN9zwQ9x333047exzAACnnnoqjjjiCPSG9BP1BAvq3hEr97d//Rvt7R245b9/BqfTift/+XP4Jb9DRUWl0O6zfopmzdBEIgG7Rsa7fCK0pxKkNnyyCdOnT0dZWRkGY9oT+3A4NG5BLbXYsViVE1eVEA0S06r9OcYJ6TGS3iOk4judTmPjxo1YdOMPC9xrfY79/MG46oYbcfXVV6O/vx9PPfUknnzwD3j77bcRDAbHr7ny8nLccMMPsX79ehDRuHVXz/gCAB3tOzF37tySGlGkNWv1+PHPfoE333wDV1xxJY4++mjua10+QdqxYztmzjTd+wa5D8D7EAyKVxLR/gAeAPC3Un0ht0AlooUApPMrJ4BHGWPKxQv1WQZgKwRheiKAnQAuBnAAgKcl620E8DUAcwAEGWO7ZMuKWgm5p7cvK/6Uh/bBEZxwwgk45phjDBeDT6dSk+Li97sd6Brga3cqQkR5F9MeGwuiXFaqqxhucClGhQgR4Qc/uAGPPPIw7nnkUQwNDaK83A+pbUQUc0qhC/F4HBaLJcfqWqwHLK+LX+TEE0/Cs8/+DU+ufgFnZXpkx2FRdfErIbY7LaVAjUaj4x4JHogIq1atwpFHHompU6dO1KFUEajShw8DAxkYfyl59dVXcdlll2PZsmX4+c9/jh/cfid+c+ft4+dtZWUFhoaG4K3X7kefTKYMlc+ZLBKJBHZ1daNjVyc+3LgJr732Go444giubUOhEHellEKxcSZUauUa8NLe3g6/34/qqsq8tjfCnP32Qzwex69+9UusXr0a5513HpoaG8YTYuX37gMO0C98L2VmhQftO0IoL8/utlTIfTza1cbdIlnOWDCI1av/iX/+c3XWuSM9VkqWbvH+IDWgTFZnrM8SjLHvE9ELmf//h4gOAHAvgEdK9Z1cyoiIbgPwGoDHATyR+Xc1gNwgOH5qIMQxvAigBcCDAJ4FUA5AencYy7wnf1+6rGDEGVxPn3b8qRZK4lQvtnGy6jbWVFVz1UHlgSdRSsh2549BNUq+bmmHw4ELL/w27rnnXrz88iuoqalRTWiTz7ojkYhi0e5iYVSgEhGuueYa3H333eMlctLpNIgs4+EYeogCtZjIrSG8Ln45c+fONfx7s3QatGeanmTR3dODnp4eHHjggSAiXHbZZRgaGsSDT/1lfB3RggpM3CeUwoEEF3/pnV1GJlrDgQCO/8oZuOSa6/Cnv/wVRBZcddXVuPDCb3NtHwqFsmJQS4lFpfSfFC1BquXel09kN2zYgP3331/zu5QSi3jEnXw7IsLJJ5+Cnp4ePPy732LV188CIFhMpQmUahVogOx7ufTcE8VcKMTftKbUrF23HgsWLFAVp3KUwpvE62z79h2YN31yGg98lmCM/Ycx9p/M/9czxh5gjJWskDvvXe+bAA4CUAHgKsbYuUR0LYBCywtsYIz9KfP/3xHRzRCEq/Sp5AEwDCAge1+6LAciWgVgFQA0VuU+rNVmcVILar6zaCMoufhLQX1dLXp7e3XXk45ZSeSIri/dlpNjY1k3tlK48YwYUKWuu4ntsz9Ab0zhcMhQGRM95K4toTamsTCMOXPm4Oijj8Ev738QN119BRhLj/8uLX6vqut4RyCMFr8XPl95TqJUsY9VNBqD01l4JZJp1X7dWEDGsFfUQX3xjbdx2GGHjyc32e123HbbbfjmN7+JQw9cjHlzZqOyMjeTX6luaCqVVK3vOBnF+ZX47UOP4JhjjsH3vpcby6h332SMIRQq7rWkhSVT+o8n3r9zJKQ7AVcLmWnxe/Haxx9j6cIFBe2vEa688Bs57/n9fsUKH+2DI4r3dEG0hcfPPalQDQXH4PNN2ID2ZOzpu+s3jFeIKPTZvGPHdsyeqVydoZjUlbm5K9/s8Oz1MaiTDu+d3AegE8AWAMErhFoAACAASURBVGIE/N0ALingu9sAjE9xSFALFgjxpNIp6AIA6zLrVxJRlcKyHBhj9zLGljPGlldXZrtbtFwMu/oHUV+v747sHAllPSzzvWDSGlnXxaShrh59fX2a68jHoDemWZV2NFdQbgJEOo1gMFhSCwlj/Fn8Ro6NVlJROBwp6UPVSAyqlIsuugivvfYfPPyXvxoWaOXlpW93asSCqmXt4UEq0Pck//nPqzhS1tu9qWkKLrroO7jtf38Bxhjq/OUIBPSbZwgxqHtPEe+d7R146aWXuK2l4jU1q9IuJIO4bLDZbLDbbJMieIgIVo1Mfvn5Jt7b5fd4HjZu/BgHLFyounwyxitYUIUxGb2nywmFQqj06nsxjMRB5zupWrNmLZYsWaq6nPdYhUMhjI2NoamEnQ4/7RDRi0TUQUSvE9FrmdfrRPTaZO4H75PsDQiC1AbATkRfgJCcVEj21gsAmojoQiJyA7gUQDuEeIaLiWgKEc0FcCWAxxhjIQDPAbiZiNxE9C0Iwjk3bb4A+vr6DLn487mJSZmsLP662hoMDAxwt4wshFg0CqfTydXVo9QWoHxu0GpVFyKRcI7QKuYDx2ugu5AUv9+Pe+65B0899RT++MdHQZIsdnmIiXxs5eXlih10ikksJpwPevDEAOpZI4R5y55VqCOjo2htbR2vHQxMjGflypWIx2N46eWX4fV6FS1d8mMkLTOlx2QkSP38nvtwzjnnoqKiIqvkHsB3fUXCYXg8fJPXYt0ftDqsiRi9j8vd+7FoFJ2dnaotQfUo1ljLy/2aTVm0JoHycy8UDMJXNjnJbFqEIxHs2LEdCxcuzIk5NfoM7uvtQVNT017haTEKEX2RiLZmSm0+SUQ5cXQ863DwJQCjAI5jjB2Rea1gjPEFmRcJ3iN0LoBBZFz8EOJFfw9BVOYFY2wYwPEALgLQC+A0AGcwxp6HIFI3AHgdwK8ZY69mNrsCwDwAQ5nvPoMxVtQ2TNFoVDfujfdiEN0pWla5sjIfRkZK383H6XTC4/GMx7zxko9QsNltiMfjJS1f5Pf7MTJibCzF+E7578ebfcqD2+2GxWLJaTXLQ1PTFPz8579AKpXKqhkKTFi6laipqcXuweLEJquhZb3SQu3cm1nhUR2TxWIB0+haNRnsbG/H9Okzxicz0nFYrVZ8/etn49kXXsLLb76laREChEYe6XQadrvdUFH0UpFIJPDuu+/gy1/+ct7WuXA4hLKyyYk/FSlWZQete3kkEoHH41UtXTdZAk8cajFC1IJjo6jQKfGmdh4W04ra19+PmpqaLANBvoahJEfji2JRX+7FtGo/16vWp+2dI6JKAH8GcA2AZgguxFuNrsMDYywN4EzGmLEe50WGS6AyxgYYY9cyxtoYYy8wxpoZY42Msaf1t9b83PcYYwcxxsoZY8cyxnZm3r+VMVbFGKtjjP2vZP1extjxjDE3Y2wJY+wjo9+pn0FYmoeb/GEq3uiqamp0Xe/Fora2Fv39/UX7PFEoANk3brvdAZvNhkhEuQh5Maivr0dPj35MrRJGrKiiWxIAGhoa0d/fr2uJyRciQmNjI7q6uri3kY6lubkZd9xxp25rRumYGhsb0NPTk7VcTXTnm33r1OmFXkysViuSqdIcH166e3oVw4TEY3XYYYdh7dq1aG1txbHHHjuepCe/nmZWeFDrtMLpdJWsdJZRobBtx040NjaijLPdr3ieSe8P4VCIe/t8z7l82REIj794EY9VMpmA3W4sFKMUk4xIJJoj5HjEnJL4jodDqPAby0POx4qvJ94DsmYdvOJUaUzpdHqvaR1skJUA1jDGns0Y+O6EUCjf6DpcMMY+KWhvi4CmQCWiBUT0DhGNEtErRDR7snZsT5FPfU0tpJZG0SUkFavVNbXo788WqMW0yknREqhGZtvyQHulm0B5eTlG87AEAnw37YaGXGFVCFKRoIbD4UBFRWVWN6pi09jYiO7ubq51lY7ZMccco1oaTMni2NDQiO7u4v2OSrhc+gJV7fzTOy/lYypzO7lrXpaKtp4+NDQI8W1K+19WVobly5fj5JNP1g19iEYicLuL0+q6GO5/wTo8XXc9LQFhRKBOFkr7qyVSxfNOreNXqeCxwgox37leQCNCVbwPjoyMaFpQJ6vF7nBgJKfdMQDFyYTe5CKVSn1aBeoBANZK/v4YQD0RlRlc51OD3tV0L4TyUt8CcB6A+wEcqbnFp5xiC1Q58rilyupq9Pf3lyQWVZ4lXltbi4EBfXEl3sREca2W/anGtGr/ePmihkz9S3d9S1FdXM11NejuLY2wErOplYR3U1Mjdnd3oakx3/K/2ciPEa8FVR6vqXV8tKoTCEKfTxDnC49ALRZWzpqXpWTnzh1YvvwgxWXisfrRj25WTRyTnnexaBRuhda6pUKvaPq2Xbsxbdr08fNPKnh4s5XD4RC83r3jeak3AdoRCHO3QdZyHfPe+wqpEzr+GdGI4bJuMys82BEIZ517LX4vAoERVFbw3/uNCFIjYxXaHVeoHi8tUSqOSTyOgkCdnKTDv//9OVx++WVc62Y8jsuJ6APJ2/cyxu7N/L8cQp4OAIAxFiOiZOb9oIF1DENENzHGbsl3+3zRO0rLABzNGEsQ0Y8BlNbUshfAWPFzLMQyHrsC8ZxlDocDPp8PQ8PDqKlWaWxfJGoUrLWFIC9jNLPCM/6QKivzYWws7+shhxwhV1+PtRtbNbbIRVpCRk/UqcWaTZkyBZ27u3DQ0onYwWKK72kN9ejUsaDyWrvF8XWOhFRFd2NjI3p7e3MmZsUck8vlRCzGL1B5Sv1IS+NILT5ygVrsiREP27dvx1lnaXvVeC2IgkAtjgW1GLS1tWPFihUAcq2OasdNFD/i/WHrHrCg8sTDa5VkU0IpmW2yYhu1yLfusBzGGEZHR7K6n+W1P91tcDVOL+gzhkdyLahGwjCkTFZzHAA446Qv4Wc//hHXuv944QVc8J2LP2CMfVlllaxSm5k27zZkl9rkWScfjgMw6QJV7yhZxSKsjLEw9mBr1MnCSPkioyh1tJhW7UddXT16+7Jd76Vw8zdVV6LfgHuaxx0k7SUspby8+AXgpTTU16PXgAW1kEoLUubPn4+1n2ziWjcfS0hTYyO6unYb3o4HJdHtdrvhcrkwNFzo/UsdIxZUpePEK8hb/F5YrTYkk3vOgppIJtHR0YHp02eodrjRGo94HYn/8iRtqhHv3ZXzHo+FS0vQt7e3Ydq0qarLea4zwcU/uUlSgLFEKaV6tHqkJsHFz0NUMqlROh7y98RJhfweHg6F4HK5VEV3seNntc67gdGx8RjUzpHQuDjdPpwwfKw+xS7+VmSX4JwPYCtjLGJwnU8Nn746CyUgWwyW1sWvFAdYV1eHnr78En6MIJSa0k6SKpaQK0WHIimN9foxqEpCQG980jhUJeG9ZMlSrFmzxuDe8nPAwoVYt26dYZe4kRhi+ZgaGhrRVcR4XjllDrvh8Wh275FY6eSi22qg73op6Ny1C7W1tVmiUhwLz7knJxrl716Wb7yfltCQioZ0Oo3Ozk5MnZrdgUduyVIap/Scs7PUXheDKiIVPEaFT7EsqIUKv2g0WlBjDPFYjY1OWC1L5YXgHWsgEECFRqgB77Fq8XtRU+b6tArUZwGsIKIVmWz9nwB4LI918mGP1O7TtaAS0erM63kADsnfq4lo9WTsZLHgtWiVUqCKSN3hdXV1ORbUUlBXU2M4i1/toaoXk+rzlbYAfE11FcbGxhCLFa8KhnRM0gdqliCaNQsjIyM5iVLFynyvq63BvHnz8frrrxvaTg+tOLrGxgZ0KwjUfK348oeZW8eCqiau85ks2Wx2xBMl67yny7YdO/Lq8a107rX4vYhG8regAspWVB4ivZ05x7Gntw8+nw8D0eT4sRHFqRF3azAYRKWneC2DC43Z1DrPlISPdFIk/f9kufj1xKLcxa9UmUBtzNJzb2x0NKdkneb3drfltUyK2tgCCklS8mPDK1In04IaG+obv5b0XvHAoOZnMcYGAZwPoQxnJ4A+AHcQ0XlEtE1rnSIMZY9oPT2B+k0AT2Rej0NIlno88xLf+0xRqtqdYgkZJTdrXV0ddg9on5zFoK621pCLXwpPPVTp/32+cgwZbNtpBIvFgtraWq4SXWo343zqBFosFixZsgTvry2dFfXUL34Bq1cX734gPS5KQrWhoQG7S5jJL8Sg6k8ktISC0rGSu8MBsT5u9rqlqoqhxCc72jFzZn6F2pWIxZQzsvXIV5hqsbO9HdOmTVhPjWZPiwSDwT3i4tdCa9/1RKp4/iWTCUUXv5ro0rIeFmJFjUQiGIwqizUjEwlBoGrXQDVCIRn9YpKUiPSYSNvOqolU6T0imUxNSnvxUsAY+ztjbAZjrIwx9g3GWIwx9ghjbD+tdYrwvcUQuYbRFKiMsYcZYw9DaHF6DoAbANwse32mICJNkZqPVUcr4aN9cASzZs3Cxo0bc5YV+8HqcDgUk1XkGblG6wC2+L05Y5wxYwY2bNiQ9V6h45Hf6KdNm4Zt27YZ/px8XK1SDjroILzxfq5ALdbxOvzzh2DdOuUSv4UU31azos6dOxfrNvElnOVjrXK73LodsooVWlJZWYGBIiTn5SMQ3nznXfz1r8/g0EMPVcxyV/pbjvzcG+3rRnPzFMP7ooURoSA9p//x75exePGBeX+vOLa+vl7U1dTm/Tn5QEQ5zSLk15JRl7484z04NlbU0IV8zsHtO3cilUqhzFeeFauph9I9r7+zDTNnzizavqmh91mjY2Noa9sJ8vqzxrQrwLLEqRry+15fXy+qS5yQbFIceGNQ/wihpegFAL6WeZ2V+fczhVbXG+nDhffCV3LdyS+Ygw46CFu2bMHgUGk7+nTu2o0pU7IfdkrilBctN/+KFSuwadMm9OTZhIDnBrhs2TJ88MEHisvUBIIe4phE0a104z7ssMPw1ltvlaxtrNfjUbQ45iNOpeORIv172bLl+PDDD0s2Hp+vDMFgYVZscRzy8UhdkkCmdatGm8dS8cQ/n8cNt92Ou+76KQ444AAAfOfehg3rcfvtt6G1tTXn3AOA9957H4cvW1LQvhXDmvrJ5s145513sOJLJ3MLH+k1JD3f2tvbMV0j0aoU2O12JCShH9L7g3QsoujhET4535FKoLKysvCdlRDtajMkBn/6m9/hggsugMPhMPxd8mP15ptv4JjPf87w5wDq51w+SXqvvvEGDjzwQFRUVWFHQKjcwXt8lEK1Nm/ejP1nF8/LYVI6eAVqPYBbGWNvMcbelb5KuXOThfSCEMrU5Haiyde6KKKWKQkIWc6HHnooVv/nDcOfa4T2zk60tExYRAoRpx0dHVizZg2aK8qyhKr4f5fLhRUrjsArrxU3llLKYUsOxJo1H6ouNypOBwcHsW3bNt342qamKfD7/djYaqzMlRryG7LdbkcqlVJN9uEpuP3gg3/Aueeeg3vuuQcUEtqzyh9A4jjr6+tRXl6Ordu353xOMazCvrIyxfatSpMInutLLlKl4qe83K/Y375YKLlrf//oY3jwwQdx9933YPHixWgfHMm5X6iN6d1338P27TtwzTXfw5VXXoEK28SDt8LG0NnZiUULFujul/TBzyNI5UJBTwTd88ifcMrpZ8Lj8eZkUCtZHtW8EHUeB0ZGRtBYX6+7j8XEbncgkRDK/ClNipREj1Hr3OjoKHy+fNqeF4fX334bu3fvxueOPt6Q9VQJL0tg9+7dODAz2dLDUP1TA+sCwPMvv4rFBx9q+H6u5jHasmUL5s+ZnJ5D8cGe8UmG3is+NDkdJfOFiHYS0Q6F1xYiepuIbiWi4gWXg1+gPgzg0mJ+8d6K1WrNaWWpJuDEv/VcwkpWOfk2xx//Rbz00osF7bse23d3Y+pUZcuF0ZvZ73//O9x004049dSVePjhhzG1qjxH2B188MF44311AVkoc2fvh76+PgzJLM/SB5CSQFA7Xg8++Aecf/55uPXWW+Fl2u6+ww8/DP9+qzTzMyKC0+lEPD5RN1dJzGkJ1XXr1uMLRx6BWCyGVatWYbA9V3xKWb58Od5cu74Ie59LWVkZxsayRWOhYSVqluHy8vKSClQ50VgMDz/8EO699z5Mm/b/2TvzMDmqcv9/TnfP0rP2LJl9kskiSdgSCGEHEVC86kVcfiJXlCsIgqCgggKKsiguuAPqdeOqF1CRC6JXWZVN9iQQCYGsk3RPZu1Ze6Znpmfm/P6oruqq6qruqp6ZzAyp7/P0k0xVdfd5+5zznu953/e875K0sZcNbW0RPvTe9/C3P/6BZcuWc+GFF5I3NsySqnJeemkDa9eunbWDN06Jwp5wmE2bNnLqGf+m9VcuaZhA2dg2Nzfj8/n2a37a/Pw8xseNbZ4OidNn+FDH4NDQIFWzFFtr3kCYf7vExAS33Ho7l19+OQHdeHGThkmtCV9TlM+dd/4PxxxzDHmBgOt+UjdImTZKTsfe4NAQmza9zLpjjgVSG4lwFMK6YxvZNhNqH42PjxOJRFhhE7rgISN+AexEOZv0LuAKYC9wH/AV4FjgJzP5hdlKnW4VQryGkqT1FiFEn3pNfc1kY+YD/P6ApeVKbzVwi127dlI4kTnNzjHHHMPu3bvp6Jy9dFPh8F6amxWCauXicqrMJiYmePHFF/n9r37Bz3/4fZ588gmuv/56gwsNlNCFTZs2kpjB2vV6ZRkIBFi71tqK6rZ0oZSSp556ijtuv41QqJzzz/84FXn22RxOPPEknnrqSZetdw4lXtjo5ndjQdi7dw9nnHYqX7z0Yr59w/Vce+01hLemYoLNm4mjjjqKDRuswyWmi+KiIkZG7H97tyRhx44dPPDAn2gKGeP9llSVWx6Smk28vHkzy5cvZ9GiVEylm36KRNpobmwkLxDgi5dezAc+8EHOP/98brzxBu655w+sX3/UjLQzFze/aj2/4/f3cOo7301hMKi5WMHZ4RQ9llSVs2fPHttNci5wGhOtt6Caobeehh2cVbWzzA0ODlJWNjcW1AcfeZTq6mqaVh2m6XR9n2Trn6ZQCS+//DI//OEPOOus99LW1sZnPnG+5bOZrO3mceZ03Nl95uNPP83Bhx9ONKHoCTMRNRNVM8zGoIn+bpqbm3MKgfDAp4D/J6V8XEr5upTyAeCDwHlSykeAjwJ2RQZyQjYL6sXAJcBFwNuAs3TX1NeCgZNYnkylEnPJj9fT08Nll13Geed9jNdfes72ufz8fE455RT+/PcnDNf1LtZpp1Mxufj1cKPM/vWvzTQ2NlJdVcWylhZ++aMfMDIyzFVXXWmIY6ysrKShoYFXX5u9fcy6desMeUndWrBUbN++Hb/fz+GHHsIXPnUxJ598Mrfc8m0DkdN/9uGHH05PTw9tpqpPM3VQqqCgUCOobmNPx8fH6e7uprGhAYBjjlrHrd/+Jl/72k2MdFkXATjyyHVs2rQpzXswEygpLjYQ1Fw3R1JK/vCH33PppZ/ivvvu4zOf+TQlJDTLD8ysBdWJvnh6w8taWVPz2DPLZDUe29oiNOniwv/zg+/jjtt/xLpDDmbp0qW8660nTUOC6SPa28ejjz7KO//9vQbirRIFJ25wff8oif6XZHnHzCM/P49EIjW2raynKtFxQlJV6MnP4OAQZSYX/0xaiTONx6df2sDb3/6OnFIkjo+Pc845H+Y737mFgoJCfvtfP+HWb3ydFocbiZzz7zp434P/eIJjTzwZSK1L4ShEuv1Euu1P4lttIpZUlfPGG9s46KCDcmqvByYA8wJXSSpHah5gvQvMEdlO8T+R7TWTjZkPCASMlWisgujBGUmdmpri+uu/yvvf/35+8r3v8Ktf/Yp77viZbZaAd7zjHTzyyMPTlMAeZoJqd0AAFPnsCN4zzzzD8cefoP0dLCzkh1+/iYGBAR56yBimcPTRR/PUS7mlZHJCEI5bezgbNhgtqLlYhZ966ilOOukkTcFfeckn2bZtW5o8Kvx+PyeeeCIPP/1s1s92AvNCVlBgLA/qJk4zEolQV1dHni7lzeGHHMKXr/w811xzDeX+9PFXWVlJXV0dW7dtm44YlihKWlDtxr3TzdGdd97JX/7yF/7nZz/lzv/6CWvWrOW8887jxRdf0J5RCepspYsz46WXXmT9+vXa31bEx06meDxOLBajprracH1ZSwsfPOu9XH/l56ivq7N870ydotaTBKvP/N2f/8Kpp55GKHn4x8ramImkqsR0amqKffv28fTTT7NyPx+QAiWue3x83PLkvuoy1sOOpOrd+ubwkqGhwWmXBc0FUko2btxI7dK3WFpPs+Ffzz5JY2MT9/76Dj574fks0a0RM0Gwcz2kNzg0xMaNmzjqmOO0OaWSUxVmkmrOrKBCHYfbtr3BIW/RMjLNepjJeLSD0fZWR69E3/yOQQWuAf4uhPipEOJaIcT3gceB7wshmoBn2Z8u/jcbnFggR0aGLev06hWz0xOEr7zyCl1dXVzy0Y9w8MqV3P3z/+KVV17hnw/9n+XzRx65jr1799I/Cy7KoViMREI5ZWqnpLNBfd+rr27h6MMOAVIJvf1+P1deegm/+tUvDeTgoINWsm2GSY9eqaxcsYKuru6sVjM7hb0nOsCe6ACvvvoqx645XPv8YGEh3/zKl/ne975LTZG1O+jggw9hy5ZXc5QiM9SYOXNfObEKT0xMMDAwwBvbtwOpPnr7207htNNO4/rrv2pJ4BYvXsyu3a1p162swm6s+XmBAD6fzxBTa0Xk9GPQSs7W1t2sW3cUi5ua8Pv9XH7Bf/L1L1/LDTfcwFe/+lX++Mc/cs89f6CkpGS/ENT46Cg7d+7ksMMOs51TdhvaPdEBEokE+fn5PJyMZdYn7XYDpwekciEKTz31FGuOPSGtv9xYG3fs2MGZZ57JRRddyJo1aznjtFNdtyMX6H9H8yl+K1hZ5ZzoxampKZ786wO0trbS3NSUW2MdQr+JUOXr6OwkkUhQb8rQYs5IYKcD//GPxzn7zPfk1p72VHtyGV+ZrKjPvfgiKw8+mGjS8K3vi5IuSUlXet9YyTje28Vtt93KFVdcwaOPPspxMxQ2c6BBSnkXcDxK3GkzMAVcKKX8JhADPiKl/MpMfucBRVDtoC7Ag0NDvPDCCxx//An21W10CtlsZVTJjvoqLi4mEAhoyZuLi4u49Zs3c9ddd7JvW7rbe2JigomJCUqKZz7QXk5NEQgEHLmA0uJ8dIdx9kQHKCgoSAuDiHeGWbd2LYlEgu1JYgSwdetrHOzgFHKu8Pv9BIOFttYRM3b1j2jy6K2ShYUFJCYSmtKPd4Y5eNUqVq9ezZNPPmlwU6p4+umneOsxuaVhyQaFvBgPx9gd0tP3zZ7oAAVVtZx11vv46+PGGNl4Z5jPXvQJ+vr6+NvfjIUAJiYm2LBhA8cctS6tLVaEKZsFz/wexTMxYdtHdvGMetmOO+442tqMi+Cx69fzwF13snRpCzt37mD37lZ++M2b8flmX7V1dHSyaFGNFs/m1HqlytSXkFx99dXcd999ac/ox2EupHW6CNY2Mzw8wu7du3nLqtVAurXRTOb0+lCV8dVXX+Wyyy7j8ssv57E/3ceXLr8Mv9+/3+UJBAJadhZ9P6nyWFnl9BZivSemubwYKSU/+NbXuew/P8KF53yQJ598grt/+XNqdbHImWScyTyirXvDLF26VNPt2TISqB4YtY8mJycoKirS2pxpzOXabkeZJUyf/czGlzls7ZGAIpPaT1bENBy13kwsqSrn61//GuPjCT783n/nT3f9j3ZAan+PwYUOIcSnpZTbpZQ3SykvkVJ+HtgthHhEStk/Gx719LIXb1LYWXz01qEHHvsHxxxzDBUVFQzqFlI7N5AKdaI3lxcb/h/35dPTo1RuUidDfV0zt9x4A1de9xXuu+9+CgoKtM/Zt28ftbW1ltVIYHpKzXz4y6ykIaWQm5M5jBWFPKK5tcIDwzSXFyPy8hmKxTSZRve1UtjQghCC008/nccee1SL83nxxRe5/otX5SyP+tlOYT5lrMrWFLIm5hpJzStgyJTgPd4Z5sx3vJ0/P/ggZ5xxhuFeNBpl8+bNfPeGr6a9ZyYwOjpGQUEho+Do0I3aNyqWLVtmKJeq/o55gQDXXfk5Lr/6Wk4++a1aYvFNmzbS2NhInYP0P4UNLa7HYqb8wtmsVKps+aFqdu/erV1Xf+vi2mYu+ehHbN8/nYU20/hr7+ykvt7aBa+XKdIvaQoJw3xS+7SkpoHW1pRMarsKG1rmfAF95dVXWblyJfn5+exqT8YNR9OJKVjLGB8Z4bOfvYKbr/syJ59wfE7yzBSRy3S2QJVHJT6xmpSuCEcVfajKp2LjC8/TEd7Lb3/6Y/LzC6gIlRs2RblawQvrW1y9D2CP7vCrlZW7WZeTfmdfwuAGDw8MI6VECGHQ52BcM2eSUDvFiy++yKe/cK3hcJQVOY10+2lalOrbnX0JliWLTu3cuZNoNMrVl12ilTfdn/NqoreL8U5nVasmBma/muQ0cbEQYpGU8itCiArgRpTqonfM1hfOqQVVCHGVECIihIgJIR4XQqwSCr4nhBgQQuwTQlyse36pEOJpIURcCPG8EGL1dL5fT05Hx8a4++67ed/73mebxFmF3W7NnAKorLyc4eFhg2tJsTSu4aCDVvK3v/3N8P5IJEJTU26HbLIpEH/AXkFDZledPuYxPDBMsKiI4REjaVK//91veyuPPvoYUkqi0R46Ozs5eOVKRzLYwYly1Lt09ZVGrKBPPaU+W1xSwlCy2pE+OfbbTj6JzZtfSUtl9cgjj3DiiSdqlofptN0KY2Ojhs2LE+gtw/7Scs3aqLZhdF8r8U4lr+YJJ5zAz3/+M+29//jHPzjllLfl1FYnsCMI2Sw9KsIDw9Q3NtLe3k4ikTAspnNF5PZ1dFBbm05Q9Rs+q3mlH3tjwTJ6olFG4nHt/mh7q2EMmqG/Pp3ykdk+4/nNr7J0ysVdkAAAIABJREFU5WpNr0X6ZboLvNufFouqWlL7+3opLS3l5BOOn3Ybpwu/33i2ADAYHfTEp6TLKKdZvqmpKe6989dcftGFhESCokSMse62GQnRyKU/d0baKalaZOgn/biz6h+9tVshqMnv39eqtUGfozNbu2e6tG5HZydDQ0OIytSGWe2TUHSX9tJDvy6rsv3lL3/mXe96F+M9++bEE/Emw0nA6UKI/wO2A0uBdVLKS2frC+eMoAohjgE+hyJ0FUqlqh+j5Ng6HTgYOAP4mhBCLaXyG+AJlMIBfwTuzvX7zXF1P/j5L1m5chXr16e7bDO5tVSYSc+u/hHahuKUlYfoiSpvVid7vDPMBf/xYe66606DVSkSidDcbIxhmqkJ5ff5LE9o21mGrcidOumDRUXEhpX/6xVavDPM6pUrKS8v54tf/AIPPfQQRx55pK1F2Aw3yln/uzg9uWp2vap/7+ofIeHLo284RYhUkiAGezjxxJN49NFHDO997LHHePeps0foxsbGDARVfyrcycGvuvoG9oaNi4a+nz570Sd46KGHeO6555iamuLxxx/nnSefkP5BMwR9AQwrV7iZzOn7Rn11jCSorqllT9ho6Zkrkhru6qGurlZLzK+XyW7DZ+43v99PfUMjrXv3anNpvDMyI8Rzunj55U2sPvQwIOVihVT8n6U1S0eChmMxLXF9vDPsqiqS2wpK2ZDJglrSJS1JjxqTqifhu/pHeOaJxyksLOSUk07MqY3ZNhhWB2js3g/K4df6BiX+1FCjXhdTazUeVZI6Oj6BED5De6Y7/uLt6fPRKYkN1jbz/IaNrDr0cHw+nzb21H7SQx2DhhCN5BicmJjgb397kA/82xkzPp4OREgpe4HTAAlsA94rpdw6m985lxbUSRRBVfbiB3qBc4FvSynbpJT/QiGhZwshFgNHADdKKQeB7wItQohVbr/YTE43bd7MQw89xFVXpVzRVgmpM5FTFWbyUFFZSXc0mjY51h95BMFg0OCGjUQitNi4DHOFunBbKWjzYmlWxuoz+pdK5vpHjHldVYUmhODXt/+IpUuXctttt3HCUUemtcUK2RSiG+ViDlvQ76zNqcLUf4PFxcRiw5bfc+Y7TuPBBx/U/u7q6qK1dTfHHb0+7VmrNjttu/r7SCkZHx93ZEHVjz09meuXAaYmJxlIHh7TW0UAKisquOXGG/ja127i2muvJRQKWaaVmQ7xM1ZoS7dgqXCT1qeyvoFdrXu0v/VyWbV1JuPozOjs7KCurj7tutWJcHOMrX4+VdQ1sFsnE6CRVAOZybLIOiEATknC+Pg4r7/+OgetPjjNxaoncplIamtXD2XJU+1my1wmzAaRCJg8SPqYRjPpCUV32cY5Sin5w52/5opPXsRoV3ofzRYy6cdweK/hgJRdGAZYl3KdklMIITQ5xjsjWTdJme5ZkVO3eGbDRg5dszYt9+nk0A4mh3ZYvse8dm168QWam5up0Z1xtarg5CEz9LnvgQ3ASpSk/LtmOx/+nMWgSilfEkI8gMLEAeLAWpRUBZt0j25BsaiuAbZKKceS758SQrwOrAAc15y0OpH8rR/dxmc/+zlCoZBlHk2rIPrmKkXZqTE96Yc9lFisgtIyotFemkvTJ/X5/3EOv/71r1m6tIXy8nJefnkTb8ux9nE2+Hw+hBBMTk5an6DOEFemj+Pc2ZegMBhkeHjYYPHJr23SJnuwtpnPXfQJ3v/Od7guaTja3mobh5UpHjDSO0hldbWjU+7phwgSTBAgEBvS2qBfyI896ji+dNPN3H777bzrXe/irrvu5KSTTkqr8DNTVrzx8XH8fj/hviFHz5uLSCyvyEMIQW19PZG2fTSon6uTKVjbzNHrjuSPv76DG7/7fc48872u2+kmPjgQSFZoM2kc6/Q++nhGPUaoqVesjesrAoZ+yiV2T49cxl1XV5chQT+YYk+Tc0qNjzPPJwUJahoa2RHZx/E1yxnvjGgLfH5tk/b9dm2eLWx9YxuLFy8mquuCSLefpmiqIlkouov+qmVJOVPkT43ZrBkboaioWLGeJtuq/s77O87R7w9ooVZ6HaESUT3p8ZeuMNwDiKDEOW7rHKIv2svR646kb5NiXNDiRx3MhZkOz5icnKSjo4OaunqebR9IO+mub3v6RlACCcYnp7QQKf34U2GeF+Z2T9e9bzX3Nm7cyBnv+xDbk8NKHXvqKFP7KwTEapYb3huOws5QgtHnnuHdp5+a1ubp6go3GIt2Ec93llt6vK9nlluTMy7O/sjsYM4IqhDiNJSqA0eixDN8G7gTKAP0R32HktfM1/X3pgWfz5e20GSDupACRPrH0yZ/UzJI2x8IMDE5CfgNE7mwoYXTT3krj/3zGS6//HI6Ozt5//vfz3HrM1vlpoPS0lJiseykR7/ghKP6xVRZYPsnBaFkEnm9QjNP/EyJnmdyMVJTyGQ6TKTvL6u+yisoZDiZTN4sUyLazi9v/QG/e+D/uOSSSzjkkIP5xpevNXxGNnLqhszl5eUxNTXF1OQkbTH7CmQG676J9MAIhWXlRHt7qRxo1WRSSU+8M0ywtpmKUIjv33SD5efbyWS26jmRq7Kyimg0SnljqvqTXYywvq/0WF4BY3lBorrDbG6tNVbjzkyenCI/vyBr6iLINJ+UsRf3FzA0lJqX8bYOgo110ybf8fYwwfrcYtp7+/ooCaVyn9pBsT4uI4J+gztJcxV0xRNImQphMui/pEzT1QPZxp86zsvKSg2/cSZMDu0glHZVkXFd/SR5+Xka6bYiZ3btmbas7enjc3R0jLy8vIyVkUq6pKl/FKhGlrxk1brR3lbi7WFt/Om/1ymyzUfVmJEJk5OT9PT0UFdfz/ZIb+Znh3ZQ0pUqW6qScYCB4RHKykqVOvfJfsr23R7SMZf57ufyFP9ZwG+llJsAhBBXoxDQCSCoe64I6AP6Tdf199IghLgIpQIWjXWZrXjNzc1EIhHWrl3rSgBzXGpJl9ROgEaqJlGIggIt/q/dGD93y1evA5R4GXOsputg+yzKuqKigt7ePiDlOrY9lWvpIlKiMmoDeYaygfG2DgDya1u1a2ZLtV4Ws6JOi7Fqd2fNCgaDjI2OIooy71Xs+itSNUlhIg+hO6gSb+sgWN+stKWhhRXLlvHlKz7Nly6/LC3m1akb2eqaVX/5fD6Ki4sZHh4Gi4VFD+sSjZLlFVBSVk60r5e36AJ5NNKThVS6GXtOSGp9fR3t7fsob1zi6DPN47Jp0SQ7QwkKiooZ7FOqd6my6Il3tnZmfabdeuxZyVhREaKvrw8naedtXa5Vk9QUBhnuVdSYqh9Sc8parmxWrExEwQlJGBmNU1BYqP1tFYYxObQDf+kKjaSqUMjQJEsKUtWb1A1SroQ50yl3J/OqoqKS/n7LpcKA+IBimTMvNFQp8snJSe00OJBm7Ta3xy7jxUxZv0eThymzZfqwDFlYBCDJLygkPpraCMfaYkCH9nemsZLJemrX39nGX//AIGVlZbTFRg2xz3YwhmgkN0vL0zOG6OfE/rSiesgdc0lQRzCuvhMoDOhl4FAUqyooh6VeAd4AVgshfEn3vg8lFmKz1YdLKX8G/Azg8NWrMuaxaWpqJhJRBu+SqnJHpSXV1Bb9W3yUkAreDkWhv2oZ4UUpK6oeKvExIxs5tXINZVLWVoShoqKCvr4+CGWOc1WVmTk2K8Jymqsm8Serspgx3hnR2qRaLrJaFpOyWF3PpkTU7wgGg4yNjVJoum9WbHpimpJN6avV+QUMjcQNz6vERx+6kCs5tYMduSstLWU4NgTFFoMIIzFNJz8KmZssKFY2JMlCRXrSo5cpmzzm9ma6bkdU6+rqaG/vIFPAuF6Oki5Jic6KGsFPpGqSwFQhUzGjtREgWG/0Tjhud3v69WxjTx135eUhBgb6bZ/Tw2pO9Vctg1XQO5lPaDhFMBSCANBhlEu1OpraPBskIR4fpbDAPKPSobpaS5P/Ku5xhST4WwJMTCS0317tKxW5kAS3Vm4VNeWl7O3s1v7OltpMJaoqQlFFLrl6UksnNd4ZyWrtnu0Yx/joKIWFmfvJrMdVRLoVfT7uCxCPG3VfrC1GsNHybbMGdd729vURClnrPRX6/jFsJpIbiUi/RB+AZd6wTSetlxuM9fQSn3JW/XMs6kyXHEiYy0NSfwHOFUIcKYQIAtcDDwK/BK4UQlQmT/p/BLhHSrkDJV71c8nnrwNelVJaFxd3gWWNdYTD7uMH1QD70taHiUUeJBZ5kMmhHZS2Pkz/Fp9BCaoWhFhbjHh7KibLTAisUmHkEoNmVXGkoqKSvr7MLhNIpfFQA9LVV0mXcuK/e0wwNpaadLG2mLb46Ns0bfKm+6xMn1FQUMjYqL0rHHTxgFt3Utr6sCaTqrx7xgoYjKVcx6pM+sVfL89Mpiyx+k1KS8uIJdtjV3FJn7i6aetOmrbu1FLkRPolwbJyugZSFbacyOS2ndmeUT9zce0iOjras74fUhuI0taHKW19WDu0Eo5CXrDI4KpVyZx+AXJ6sGi6Vqya8lL6+rIvKnp5VB2hjr1wFAIFQUZ0adt62v30tKdbXK1OdFvBadiDfhyYPzc+OmqwoKpyqNDHbMYHdmivWORBbU51jJAWAqEnqU5/fysPS9b3mPq8sqLCVvepssQHdpAYG7B8qc/sG5jCp7Og6nWf47aZnlEPJeWC0dFRCpIbCX0ohn5DpI43dY1Sx6A6pwL5BZoFNd7WoY0/VS67trmx2md7rx69fX0UlTqP3NOPP6sDbqPtrcTbOpRXezjjuPeQDiHEYptXzWx/91weknpKCHEN8AdgEUr6qAuAHuAwYA+KW/8KKaVqTf0Y8FvgJuBF4KMz0ZYlTc2Ew+4VREmXJBZ5kMRYyuKa6NpAXkE5oegKwtEWqsZThwfUyV/SplhGVOuZm4ojbtzhZlRWVtDX10/d0swymRU2oMkU6V7OisqUiz/eHk4upjGCjSmLo9mKlauby4l8wWAho2OjlGd8KiWbefc9tGUZtWsKGDVZEUC1oqbkmQkSlwn6mLnh2BAFGaJTVHKqLkKgWLJC0RWEF7Ww2FdMb+8eWF6mLR6KZSSshWM4TQg/XatwfV0d/3jmOe1vqwwSgEEerZ8GdlA6tIJIzRlUVxQxYSKFqktStTbqD+HkCifjrqIixPa9Kb1hF6uplycxNqDpiCDQ3r2cqrJCfP3GUr1tcR/Vyb4CezfrTOefVBGPKy5+q0OHev0AGPSfer+kaxmiIUAsniQ+yc05YJBpfxGEStV7pEOk22+w0pvl0EMhPytgqgi/369kjTDNKcjsDreSVd9/TuIkzeNybGwcn8n7ZpbLsp+S8kS6l9NSUKBYUJORX21xH43BKU2uYH1zzuMsl7CO3r4+ysqNFlSrEAWwHntULSMc1QedKEjpiWZHYS4eNLyBcijAnM8xXwjRDXxMSvnwbHzxnCbql1LeIaVcIaUsl1KeKaXslFJOSikvlVKWSimbk/Vf1ee3SSmPkVIGpZQnSyn3ZPp8M6xO8AMsbmokHN6bMYheX6kClAlT2vqwpVJTd9zqoquekIy1xWiL+wxW1EwLaTZymvW66f0VJiuC2c2ld30Pdm0wEu+xAWKRBynpkkRHAwzE0mOe9Na5mUzlkW0RCwaDjI+O2d5XiVxp68OaXOpL3XW3DxUQjyuLsUq6DZbhLP1kJaddHkO7z9CjtLSUImFdeQkw5AWMRR5ksGuDZkVQx15BSZlhUVatcuZ+ytaumXBT1idd/JmgJ6dW/VTSJfEXFjEcS1lNVWuPOqecIhdiZP4dQuWhNNKjQk+49eRURWJsgMGuDZR0SXz5hZoFNd7WQVtcUcvZrFhOSUMuaX+GxhKa69gqQb8dOVXvhaK76BnxM5G0oKqbc/X/04Xb/qsIhdKKbehhdumbocopp6Y0F7+VtVFtm37e2+mATJbJbH2rhU2MjpJvk45Ov3E195O6RpV0SWJTecRHRxnvjChrlEhoYxBmJm2UUwRrm5ME1d7coLd0W91T17DY+CRINLm0Z5LyzNbmbq4ghDhDCLFdCDEshPiDEKI0y/NPCSGOzfa5Sb5VlPxXewF5wA3ArTMkQhrmlKDub9hZisrKyjjzzDP55Ccvsl1w9FAX0sGuDVmf9SdrkKuLaZtIaArNjiTkQgqcKOzG6ira2+3drHpykAnC52dqclJznbTFfQaSMB03l53SyPSZpaWlDA0ZLVD6A1Fqf1ktQqqSE4GCtLhadUHNpZ+sLN1uFtXKyiq6u9PTjqiFFfq3+DRyqspgVti9E0VE+wcMFhe1n6zaqLU1y8bCCfE2v3dxUxPt7fsMh+vMcDL+fHkFjI2lwjna4j5t/OnbZ9uuLO02P5sJy5e2sH37NkMVMz3UTZGZnOoRiu7CF8gnYRp7KknQL6z6OWI3T9ySCbvP8fkEU1PWcmUiCHoIvz+tOIi+n/YnQWior6O9vT2t3K5KZrLJokH4LEv2qrrPLJPdGHKas9bJc0Jn2NLH3VttjMyI1Qh8gTyGE5MGi6J+nXKCmSKx8c6wUtnKZ01Nssmjh/AZ+0qv+/YXSY13x4m1xRy9Rnszh6llQrL06N3AVUATirXzJptnzxBC/BQ4MecvREn1Cfwp+X2zggOKoIJ97OA1n76UQw89lLvuUgy2+rrm+lrGequVE4zIPEbH7K172i47AykwL6puSJz+85YuWcyePXsMsqlQLT1OSLdIKunC+hZDOpKsbWm3JjZmedyS1JqaGnqj1jnk9P2VUbH580iMj6eRDTPpdmIVngmC1FJfy759+7S+0uduVWOfs8nky7MOW4D0mE2ncrkh3pqVpzNMYUEBzc3N7N29G8BQDzzS7adp605H42/fYAFjuvnUGEwtQIZNX3ur5csKmUhfmrw6mZobGxFC0N7WliYToG2KMvVRf9UyhF85TGQHp4t/puecfoYqX6jIGBcLqQ2EE4LQX7UM4UsnqIDB2j0dgpBtHun7qqy0lOLiYqLd3WnPZbOeghLiBArpnrQpOKEik0y5xJtmer6gIJ/xceP6ot+QO+krXyCQceMIyvixGkN2183PWCGNzCf7q6yslGELb6bTsafC5/NZVg+bCQv+PMSZwEYp5f1Syj7gm8CHbZ49ESW8M2ZzPyuEEIVCiHOAH6JUAZ0VHHAEVYW5brIQgk9+9CP86U/3U12oxPQsCxWlLToqnE4Uf14+o6OjhjgcvZsf7K1tVsRUndROF1QV8c4wS5csYe/evWkkzI1FGADTzrQxOGVwCdmRBDMyKWunLi6AxqpKxoZS/aEPXXBETlF22z6fH3+NuxgypyTI7n12aGyop719X9r1cFQ56GUnk3pNdR2PjhoJqrmfnFq7s5IBB5+zatVqdm7fZnnPCTkNRXdBwHojoYfjakkW48/NnBJCsG7dOl59ZZPhumq1d7qgCl0SebsNn90irxIEJwTUKVEAKCkuIj6SntDeCZlTIfwBrbytlVx6kprNMpxJ3zmdcy0tLbSF92p/u+kjFcLnZyKDTFbtnWmrtx4FBUbPjxqK4UYunz+P8XFl/JU0ltAoU2ue+RCYfry5abebZ8tKS7UwHkhtyN2MPVB0+sTkpG2s6f4MXdgPOBxjgaNXgVohRIn5QSnldVLKTwAuaviloQSlLH0XSvXPWcEBQVBlwt6CCSnXf1NDA+vXr+eBBx4w3G8KpVwoTq2nWsxcvkJQAarr03dzVmTOCm6InN1nVIRCCCEYtEiNY1c+zgoCwZQFQXBy8lO9N5NlGWtraui2sIxEuv2uFHVefj5jOmWvkrlMlrlMbc+2MKmfp/1fT7rrG9i3L52gOpFJVeR2FtRMMXNOCHeuZOHwlW+hO2IMG1fJnNMYQCF8+AMBRHUqB47eHW5HeqxednAzp447Yi2tb1hX+nO64VMsqClLo94qrO8rMznIarmysBQ5XZRLiksYGTZaUF2TOX+AiYSzKjp6ZOqrTN6VbOOvqqracVowK2jWbhuZ1FPiemRLAablvc2RLBXk56eFJrkyNgC+vLw0K6wZjl396mn55Mtwz6GMZWqKPYzGBjdjDyAULEizoJrjoOchST1KCPGS7nWRw/cZChklK25OMAOFjKwgpeyRUr49eV4ofaGaIRwQBNUKdulwLjjnw/zud3dbuqZUuJko/rx8hsYzK2krK06mxdSJErRT1EuWtNCWTKnVFBLa7tSNQlMsqPZurmwkwep5u0XXSUxXzaJqurq60q43bd3pSq5AnmJJ0Fu73cbM2cno1q2nxszpoR6MciqTL7+Q0XicgvollvetYuYywQ1Z0P6vm2eHrF7F1q1b00JMQtFdruZUXn6BYSNhxkwsOhk3FTqZjl63jg0bNtJUVmR4prTV+aFWlfSYMx+0iZTb341bUk8O3JBUfb+VFBcbLKjg3HoaLFdKhTaEjMRbv0E3k243yOpdaW+1vF5WVkYs6ToOR8nRKudncjLVV1ZGh1yt2dmKK1ihoKCAqYlUmW19FhanqCsrYHw8YYhVb5R5Bm8LZB+DlmMty3us5CorLdVS7KlwI1N/Mheqz+/XPH0ljSVaX+njumcb/VGfdpAu22uozwfwkpTyKN3rZ/rPE0JcK4SYML9QXPZB3XP5yWvZD9XMYxwwBNUqzs4q5u6Q1auor69nz5ZXaC4v1tz8zVWptFJuECgsYnBwQHMz6N0n+snrxA2UacftdEFdsmQx+yJhloVSC6pbhSYCeRlPzVu1z+4ZJ4o6oxWiM0x5WRmDg4MG4qNaGt2goLCQ4WSy/ur6SWN8o0PLXCY4DcuId4YpLSkhkUgwPjZm6Cs3xMfnD+Dz+xmxCTFR5comTy6hGFYyHbR8OXv27NFOdqtw20+FwSBDsWFNJqs55cbtnevmKN4ZpqG+jry8AF0dqbnsxCKsh/AHkEjGxscNMqlyaX3lgKQ6JQnZfpuioiItq4VK5tzCX1BIPD5Cft1iy1RDVq5jp3C6sdLrvuLiYoPrGJwbG1TS3Vydz0RigomJiYzpk6ys3U4s327Jel4gkJ5r1uHYU4oqQH5hUCuBHWys0/Se+q/hBLzJQmpnLbWD083RuC40yc180vqpSvGIDY+kp0nT2rIAY1GllDdLKQPmF/A0SoEjFauB7VJK60MICwQHDEF1AtWKesYZ7+Shh6yJqFs3w2hxI69ufZ3C+hZKknXIrYiPZXuyKLRsyszKklBRUcnQoPHEu1srQn55NT093QRqmwnWN2tkTt2hWpEEt+7JTDDLlSoLmoJbkgAQql5E74QwxCwZrD4uY67cxPyZIYSgpKSEkZERdvWPaKl+3MpUVVNHW0cnkCLd+vGXDTMZilFQUEBpaanBzZpLP1XX1dM5OkF+bVNWmXIlCm4QDAa1Q04qmXOiJ7SDN0JQUV1De5cSpmJllVNhRQrckgTtszLIrySAN6YvcqP7YjWCQH4BJSUldCfLuOqtWLm0yQ2sdF8sNkRxiaKD3W5g/aUrlBPv/gCVNbW0x5XYRlUmVbfvb/REo5SWh9jVP5LT2GtaNEn5olp279lLYUOLQZ/PFFyPy9Ex/HnGsx9u110AWVLBnvZOw2HebONvAeN+4CQhxEnJE/03A3dlec+8h0dQLfDe097Gxo0b6Y32aFZUt1B3coW1S2jdtZOpqSnD7lQPvVJ2u3jqn3NCFMqDBZrrTnUJuYUvkE9pqIJ9nV0GJe2kjU7hxopaWKDEGpnDMtwqtbzyKtqSbnU7mdy67xyfYG1vTXumqKiI0bjxoIpbmarr6ukcSWj9ZGhnDnFYTq2NdqioqGBwICWDmwVVdd0VVNbSukc57GJFDKZjGcklxMR8YMutRRiguraO7tEprZ9U0p2V0M2SFWh4ZJhgUcoj4VSmvIJyzTIHUFnXQEdy/KkkIRuZczoe3YbN9Pb2MpEf1AoqON0YqWRORcOSpby+XakdE2ysm3Fy6mY+tnd2Ul2TKuiTiyu8bFEtXZ0dTE4a3eGzReayyRcbjlFUVGwg3U6gjr1YjXJmpGxRLW1tyhgJ1jdr/bQ/NxM9Yz4tFV62V3TcnAffOaSUUeA84DdAGOXw0jcAhBAfE0K4V0rzAB5BtUBxcRGnnXYam55+3HA9FzdXIFhCQbCIqL9I253aER9H5CeLpSTbglpSXJyWPsatmwugpr6RjpHMJ4+dIhfrD6Tcd0IIA5lzq9RUlFUvotW049a3Ufu/S6ucG0uq2SWpr5HtVCZ9P1XX1bOzrV2TyW7RcWJZNF93Sub0MlVUVDDQr1jUwi7OkOplCtXWszPSZpBpJhdTt+RbSokQyuJiTmhvh7yCcoLlqcW0qraOvZFI1n6aLZhlHIoNU1SsEFSnlntVJpX4ACyqb6B1b1iLb3RKDpxu2t2Q1I6ODioWKWTO6WbPSqbGlqVs2bFL6av65mnrv+mgo7OTRTVKuTm3/aSOvb3DPsrLQ/RNBQwbiblCTDf2wBnptuqnsuoa9uwNa/HCVpuJhejmt4OU8s9SyqVSyhIp5ceTB6WQUv5GSrnC4vkWKeVz6Z80f3BAENSpLDnerPDhM/+d+++/32DtcQrzjruxZRmtvTHNOqK+3CATiXNsbe0MU1xcxIguLicX0g1Q09DI7j17XC88aW3SE78spz4zLUZFRUXER1JkLhdLQkVdI3v2tGrXZ3KnnYsVWZFJ2UyEo+4tc+EoUFZlKONrtgxnGlO5uMOzEYZQKGSYU7lYG0O19YSTB/30lpFcMZ3NEYBiQE1ZP9zGAIJCUFvblVAMVaYZJd0uZYzFYgSLnHuOVIKgyqRW3ltU18COsJIn1i2Zsxp3uYYASCkJh8NU1yjf70Tv2cnUsLiFbdu2UdjQYggHyoXY5bo5V7G3s5tASTk7+xKOSLdZJjXH9+Kly9i2c4elPt/f4QtDsSFXm6OymnWUNL0zrZ9Kq6rp6+0lkVDCgaxihueajHvIjAOCoGaDfrFR41BXrzyIt771FH7xw+/JMG4/AAAgAElEQVRYJrbPBv3iU1Bdxxt7wmmWudmaHJlIQmlJKSMx96cYVdKtt/i07lMUq7rwqIrMqVwzuXudmpIIn1AS2ruI1dRb5opKy+jv79disWbafefWAqRU8klZ5twkFAdl8QmWljE4qCxaegXttq/s4Fam8fEEecn4slxkAigJVdLV1Z1mGclVJifP28mUmJigu7uL4UChY5IAxnEHEKqsoru723CSP9fNrOX3ufxNwl3dBEpDjmQykx5VRwBU1zXQ1hYxkLlgY532sm1vfbP2ygYnVtTOri6Ez0eXzEsr8WyFvIJyA+nRyzQeqmH7jp3GtuY4j7L9DhnfW9vMa6+9RsOSFiL9Mivp1veT3tIIUFpdw55wyh1unlPTQaYcuFbY19FBQVmFNvYyQR9S0l+1zNBPfn+AqupqopN+jXjrx55HTuc/DgiC6svLd/W8SlI/d9EFbN68Wcsl6dTVYEZlQxO7dyvKQ5385smRTRm7nUxp7tYkCS8vK9VObLq1yulJ93hxiH379qWlxnHTTifP2llRzaELQ0OD9E8pwzmXWE2AvMJg2mErN23NFXYL7PBwjCHpc0V8AEMcVn5hEbHYcEY312zC3E/d3V0kCktckzlVpuYqKC4P0d2jHCgyJ+He34vOrt27qa6poTAYdEQSwFpHDAWC9OhkspLDvLg6XWQzPWNHFPbs2UNNfYMjMqcnp2biU11bRySSGt8ZdZwNKdVfc0JYVejH3r9e28ryg1axq38iq95TySko8phlKi6vYGIiQTy/hML6lvQxqJPD7pUJdvf1eqKwoYWxsTG2bt2KqF/qKFzGjpxCyuCgbiS039tmzDkdh7ls/rZs30nDkqXa2LPTEWo/WfWRirrGRsLJ8WeXsH820S0mlDzNDl694k17gCtnHBAE1Qms8qKKoSiHHHII/3p5k/WbbKBaR1SSUFnfxK5du9ImP6QT00wKbCZ2fYWFhYyPjbGr3z79hhnqzluPsqpFtCVLPKoy7S9yYFZoiUSCRCJBfkGhY5IA6UQhr6BQI6hma8/+gJnMxWIxCouKXMlkRl5hobYhMWOm5HJjRe3q6iZUWTUtMldQXMJoPK7lQrXa9LklBbnitTfeYOmKg7QDHdlgZ8VSrMKpXL76+ZTV2piBJOTSx4U1TbzxxhskKuqyxnOX1ayzJacAVbW1tLXto2BRo0bm9GTTTf9Mpw9feWMbKw46CMhsuTeTUysIIWhevIRdra2GtrkZZzMxHjdv2ULT4iWE44GsWQn0/aRCdYWDku1j3742Yxtz8ERM10MYrG1my5bXEDXNGceeOeY0ViOI1QhNJrW4Tl19gxLbrW7Q95Ne8DAzCMx1A+YTVJKqtwoeeuihvPLaVlhunexcD6vFFGA8PkJxMqZGv3BnsyaoMBMApxN/vDNCfm0To+2tmosjkUjg8/k0V3jIZYofFUPRHqqqqrK2XYWdpSbYWJcWh5p2QKk9nPG32r13L9WLatg9EOfZ1/3U5xDXCNAdbqWlpQVI9ZO+PW7kcgu1r1QMD4/QPzBAt8x3bOm22khEI3tZvDjz2M2mpHOV0SxTR2cn8dE4UVFIODqZVSYreQCGensoKSsjPy8Pc5I/p3MK3MtlNZ/2dHRT39CozSe3Y09dUEeHY5SWlqa32US6s7U/pzhI0/yKDQ8zNjZOSagSsI/fV0mPnsjpXaygFFWYnJxIy3Qw08RAr1etLGU9PT2UNi/PmLlEb5FTYZZHRVFxMfH4qC41uhHmNlht2NTfQO1Ht79JtLePqkWLsj5ntYmI1QhCumd8fn9OfTRTY1CPaLSH0soqsKlPpOqFoZZ3AOl91KxblsrKQ/QMKUaHwvoW15kfPMwtPIJqAT1RnZycJJCX5/jEsdWCmujYyyGHHGKw0qqT30qZmieRWZG5gZkk7GptpaK+0XGKKTvSPdT6BuvXH83ovlbGOyNZ25ZJBqck1fxZKh5//kWWH7aWJ3aPU9Llc5VXU3UdH1YFfc9v4fTjjjX2UwZyar7uJgVVNuX/z+efo+Wg1ewd9tG/RRDIcSPRu/M1PnDqyZpM6u8cbKxzZe3JJlu2TQTAX594mtVHruepvZP0b/E5lslMgibbWzly7RHayXl9O1XkQhCcwDyfYrEY4wXF2nzKNPbsCHdTSJAX6aGlZanl+5yMPRUzsWHq7x+grLxcI91WjtFM5LRp0aRGEqSUSCnx+dKddW5crm4rnpk/3+dLEbBQdBdWUfiqRc6KlOqtjQAIgZQyLcTJDpnGoxtiqn9faUkJw7FhQpCRdFuRUz2WV+QxEh2lsLAQQNt82ZF+u7bP1Gbd5/Oxq3eMSHcpTUkZVDe/npzabR70CBYVMTyYyru8v9383VPxtHKrdohOjc5yaxYePBc/9vXVR/e1MjISZ9BBOWkzkdMr7o7IXlYtbUl7j91kya9t0l56ZKtc4gSv7Wwlv7reUSomVSZ1Ue2vWkbTokmaQoK23bs4cvXKtPeYSYJdfFY2ZDpApVY/Uvvq2WefpeIth7hOVK0nC00hQev211m3do32HWaZ7PrF/JwTZDsd//dnnqPu4LU8u1O6LgWq76fIjm0cdcRaRttbLb9LL9N0Zcs2Bp944nFqDlnnqJ+sNkaqTJ1tYVasWG75PjsZMslnFfPoFMPDwxQEi7LOJ/14U4mdfoHtj/ZQW1ub1g6r+ZStn3K1TqrEo39wgJLSUsMmNq+gXHuZyanqXrWClJK8vDzio6nF16r9hfUt2ssKuRILVUf4fAI5NWXrjSirWZeV9Kike1moiGCwiL7+fttngVmRR4/S0hJGhmO24TJOwhVSEExMWBMpc1szzSO3OlCP0fZW4p1h/H4/cio9X7j5MJ4eTYsm0zcRQKiiIi10wcPCwQFLUM2EVL8rVK/5l6/hkUcfoaP0IPq3uLPM6VFaHqKzf0CLQTVP8GzK2SnsUgPpydzu3bupbGjKGrNkZzlVEcjPY2LSnrnr5ctVGTs95R8Oh4mVNBDp9rsuRQsp64gfSV5evm0tbz1mcidu1U87d+6kpmW5Y5nslPf4+Bi+YeNCms16OtNWBlWmcDhMdfMSx1V8rKyNAIXBIkZGjM59NwtjNvmypdXS99PY2Cj9kwqpsZPJTE6tUBqqoLdXcdM41QOzMQYBpqamSNg4V/Txs5mIqQqfz0fL8hVs2bqVwoZ0HWel92ZKH2oHKve1EggEmJpKEZhg+QpNx6mE24lFDmBX/whHrj+ah598imBtc5pc5rZPVw4z9GuVEMYlXJXJjpzaydjYspQ33nidwhqj3s40xqY7/vRzVi+Tz+dDytTmSO0r89hTSakVMVVRs/JQNm7cSCJYnrWfPMw/HBAEdSoxnmYltas5riKvdjFf+fZ3WLz2aDZFWyhtfdiVFUvd0YajEFjUwCOPPMK+kQmD8rVTznrMNFnYsXMnQ8HajC4hveXUbmEtLQ/x3Mv/Mhz8ckMSnD5rRVL1752amiLa20tBSXlOVbH08OXl09HZmUrAnUUmJ32TSyotKSXhSIRooGLaMiF8jASCc55UfGJigr6+Ptonihy5wlVYEbpQVRUbN25AllUbTlHP9FzJZuVWPSz+vDzbgzdOyCkoBRVe2rCRQV+hYSOrYn+5JlXirVqwVD2m6gIr628m7Oof4ZDD1vA/995PXlW9JUnNBP2z0/kNhBB0xYwuVJX46K3B2QiPirqD17Bx08s8+c9nLNs62xhtb2VkZIQpn88QfqYnc4BhI2HXZzv7EoSqqvHn5fOnx/7huo9mElNTUyQmJtXkwoAyb3IZewDBomLWHLWeW+/4DcFaRZfvR9kGuibG0mJ7rTAlJd0TYwDu08+8ibHfCKoQ4ikhxLHJ/wshxPeEEANCiH1CiIt1zy0VQjwthIgLIZ4XQqzW3fuoECIihBgUQvxECOEohlYmxg1kdODlZ7WFp/elF9MWodK1J3P1j+/gue1tbB75EKFHbmewa4NrmUu6lPrp7VXrqD/yBM69+FJu+dszvDFRSEF96uCKVnGnvTXNeqcnzWlJq7PU4DbHue4ZGEUKQVRUEoruSltQrYipHqHoLiLdfiL9kqKj382jjz/O9373J0rXnkzZ2hNt45TM8WPm39sNiTPL1DacoHJRDftizir4QLp1WJVpzTvfxxduuJFwfiU17zo3Y9yYfmOjyWHRP+q/mWQ0y9QxOkVBsIjOsSLX7n2zTIef/m4+f/1NiGWHU7b2RMrXHmdruch0zdxfbhKMF9a3sLt/hJrGZvYN+TLKZA4rsZKpu/YwihfVcdFnP49YdjihdadQtvZER22B9DnltnytCv+iJl7ZvJldotlyI+GUnEb6JTvyGzj6tDP4yIWfpLU/TmjdKQbybd5QW40/q7Y66Sf9RqywvoUnX9xIqNmYushfap+iyArhqCLXzr4Ex77nffTHYnzy81elWbLsvBVWIVduD7iov11B/RKeff4FEpWLtY2Eqvv0GVeyEVO9TO3jggu+eB1fuvkb/PXl1w2xqGZjiJWMVmPQaVGM/NomCutb+NPDj+JffHCaRyIXMrd7IM55n7ua7//gB/zxmU1pJNX829uNv1zjUFWZXtgRJlS9iK4J44FBszzZ+krtp139I/zbuRfwz2ef5Re/u8eyn2YRX5+Qkzwbj9KdiDM0OW756kzEeWakByU7ND+ezQYtNMz6ISkhxBnA+wD9CnI+cDpwMFAJ/EMI8byUchNKLdkngHcBnwTuBtYKIQ4CfgS8G9gB/C9wGfCDbG0Y7x+i96UXAYi1KeHx+qTewfpmbYJEyxv5/E23sLV7nMLJI5AvfZdEjrIr1odlPEc+x616G83nrWP7zme44Tvf59ij1/OFcz+oHV5Rrbp62BEeKzn0h18gnfTIFUdy0w9upfLwE3jujTzDaWM9YbNzq04O7cBfuoKSLsmz+DluVRWHnn8tG+79Cdd0tHPzpy+kEN3p90wlMy0WTFUePUoaSyxPMat9Fahp4ge/uouaFau1GED3JQiUjUR4EVC1hhPPuYBPfu4q/uPDZ/PxM04h0bmXwZef1p7Vy5dNNqs+ssp/q8oEULLmRH7wqzupX3UYz70RyDkjASgLauORb2fZxChnnXse13/xSo5Zdwr9Gx7PuoHIJJf5up1VVu2nsZIqvvOjn1O45GCefd1PKIcwDL1M4OPksy/g9Yfu470f+Sg3XXM161e0WIbr2CHbBsmunyAp16HHc+Ov/0DBokZeaqumvvUhBnUHOYCs5LSkSxLBDyiL7VtPfidVtXV84vLP8t2v3cCa5hbt2Uwb1TTZLOQx6wezXPm1TRTULeGJaII7774b32mfZ2iLj9Lk+NPL4MaCBRAemeTY//wM2/9yN1fdcBM/ueVbhoOIdiTBybjUy2CJqgZu/M0fGRyf5NlNK6jfk+qnIOkH8JxAyc+ZYHl1E5/80o18/6brOOzWH2B1nt7JJiLTfbNs+bVN5NUu5p6t+/j7k0/RdcK3qH/hIc2AUlazzpUsynxKylNRw8Vf+Tq/+MYNhELlnH7wMsO65HQMmsdfNq+NOvY2DExx/be/w8T6jxF5yk9p68NMknlzlw07+xJQkcfHv3AdP7ruKo45/BBWNLTMNjEFQEqZAMSagjK5dTxGY6CQRf587XCnlJL2yTG6JsZYkV/MptEBdxPrAMD+OMV/YvJ79NzhXODbUso2oE0IcTdwthAiChwBnC6lHBNCfBf4khBiFXA2cK+U8hkAIcT3gatwQFBHxgStLykxa9X1KeKjJ6aFDS30JHx85PwLkYf+O7J3O0Pjr0xbeJWkPosfqKCp4Z2sP/oUup++l6mpKUbbWxWLbnJSWxE1FT3teiuh+v8UCbIip4X1LfiWr+HfPnQOhSuPY3zPoYT23a4paRXZYk7NSiIcBaqKOP1TV/H8XT8nOuFD/YR4e5h4W0dGWazk0Zd21CeTN5O4wvoWKo44iUuuuY623gF6117IwBYfgciDOVkbQa2hPknT8sP44LU3s+F/f8tpp51OvUuZjHIpMumJqlXaKlWu0LpT+OLtd7Al0sWupZ8yLDy5om0Amo45k7MPX8sdf7iXE753i5ZuRZUJMo+7TDDLpELrq4YWLv/a9+grrKR17IOEHrk9q/UUlHKhdpslgF0Dk6z+tw+w+ogjuf/vT3DS8VdTWN/C4MtP2/aVfkzZyZtpM6HKFVp3CjffdT+b93YSrbpc8bDoZEqMDRhkmbQgeVbY2Zdg+cq1fPSKL7B52w7WNCuHpsY7I2kbbLfIJJdmvRrJ44c/+y+6j/g8tc/vIDDwoCZXmYP2W0EjcxV5vOM/Ps5T9/+ekWThE/MYtKw4lMnzkHzeKoOEKtPtz25l4642RMm5yBe/yaDumcGuDZQBJAlqpNtP06LJpC7Ijp19CZZXVHHRpy9nIDHFIguZssG8ibWSDTBYuF8YyeN/H3qEkeVfpfjhH6XLpCOpqmXf6aZisKCccy//AoMDXQRrm+mHGdAT6f2r76/C+hY6qpfz7W9eyeQJF+PbECYw8OPUhm9ghxZPq0LtK6cIVVVz6eeuYmB8UtscOck+MxN4ZWxQCCHK+qcSA71TCVbkFTEFbB8fJih8xORk0abRAXPGPA+AcBIfMSNfJEQr8GEp5XNJInqylHJL8t7FKBbVXwNfkVKu173vOeBrwMeBv0spb09eXwU8LaWszvbdRx11lHzppZcctTMWi1FSklIW9c2nO3pfe/hRR8/NFTo6OqirUxTE4hUfSCMJZqvPGxu+tX8bmAP6+voIhUKGdEPm/prv/WLG4OAgpaWlbyqZxsbGKCgomOtmzCgmJiYIBN5cWfqmpqaQUuL3Ow+Xme+YnJx8U8kDmVN3LWRMTU3Ne5mEEBuklEfl+v7VBaUynFC4aEtekFfHhjyraQbMlYYtwxgMPJS8Zr6e6Z563RJCiIuAi5J/jgkhXp1mmzPCnJNxP6Aa6JmtDxfi27P10Zkw4zLNQb+Y4cm0MODJtDDgybRw8GaUKz23ogtsHRsSQohFwMSrY0N9M9SmNy3miqD2Y6zBUQT0WVzPdE+9bgkp5c+AnwEIIV6azq5nPsKTaWHAk2lhwJNpYcCTaeHgzSiXEMKZKzYDpJTdM9GWAwFzZU9/HThU9/fBwCvAG8BqkUzulvx3JbA5w3s8ePDgwYMHDx48vIkwVwT1TuBKIUSlEOIY4CPAPVLKHcA24HNCiCBwHfBq8jDV74BzhBAHCyEakvfumqP2e/DgwYMHDx48eJglzBVB/TnwMrAH+CNwhZRye/Lex4D/B/QCpwHnASQPVH0JeAx4Dfg7yqEqJ/jZjLV8/sCTaWHAk2lhwJNpYcCTaeHgzSjXm1GmeYv9dorfgwcPHjx48ODBgwcnmN85HTx48ODBgwcPHjwccHhTE1QhxBlCiO1CiGEhxB+EEKXZ3zW/IIQ4TwjRKoSICSGeEEKsNN3/uhAi99I8cwwhxCFCiDEhRJ0QIiiE+LUQIiqE6BNC/I8Qoniu2+gEQogvCyFGTa+EEOJjybK+0eTrtwtpHAohPpUcfwNCiJ8JIfKT18/VXb9PCBGa67Zmg6nccpEQ4r+TZZM7hBA/FELkJe/Zllueb9DLZLpuqReSZaafFEJcvX9a6B5mmezGmhBivRDiBSHEiBBilxDigrlrdXaYxl+5EOL3Qoj+ZNs/pHvuKCHEhuT42yqEeM/ctdoamdYlIcQyIcRW0/OFSd0+KJRy5Zfv/1Znhtu1NnmG5q9JfrFFCOG83rIHR3jTElQhRAVKmdSrgCZAADfNaaNcQgjxFuB24BJgEfAgymEx9f4RwOfnpnXThxDCjxKPnJ+89BmgHlgKLE/+f0HIJ6X8mpSyUH0BJ6FknigF3gscDyxL/n3j3LXUOYQQxwNfRikvvAw4CPiiEGIt8D3gHJS5lQ98Ya7amQ3JjepPMZZbvhpYhZINZC1wNPCp5D213HItSoz83fuvtc5gI5N6L5NeuAw4YTbbliusZMoy1n4D/AIlH/Y5wK1CiCX7tdEOYNNXt6DUuG1COXfx8ySxEyhj7l6UPKKfBn4rhKhnnsBuXUqS7vOBe1DWWz2+jlLWfClKGfMbzQRwLpHjWvtDoAtoRCkm9Ed1A+9hZvCmJajAmcBGKeX9Uso+4JvAh+e4TW5xKvAPKeXfpJRx4DvAmuTOLQ+F3C3koO3PAc/p/p5AUWypWqHKYbkFBSFEAOUA36Uoi9KPpZRvSCkHgNtQDv8tBJwF3CWl3CKljKIo5A8B5wM/lVI+K6UcQqny9ps5bGc2WJVbfjtwi5QyIqXsAH4JnCaEWIxSbvlGKeUg8F2gRSiV6+YTrGQik14QQrQAFwP3zX7zcoKVTJnG2gQpXeEDxoGR/dRWN7CS6yzgZillTEr5NPA48D6UTWAF8E0p5bCU8lFgC3Dc/m1yRliuSyhGheNRa5smIZR0kecDl0spo1LKzSi/yXzKB+pqrRVCFAAfBL4speyXUt6NIs+pc9D2Ny3ezAT1cGCT7u9XgVohRInN8/MR96PsoFWsQ1HAg8A1KBkNNs5Bu6YNIcRBKIvNdbrLt6PsXnuBaPL/v9j/rZs2Lgb2SCmfRJHvv3X3jgL2zUWjckA+MKb7W6BYQNYBPiHERiFED/AtYPaLWucIKeV1UspPoIwpFZ8AHtb9rfbLGmCrlHIs+d4pFEu4+0L0swgbmSCzXvgFikcpl4Lqsw4bmTKNtU8BPwISwDPAd+djEnQbuezmVhg4MTnuEEKUoZDW+aQz7NalzUk5bzE9vxxlI/GhpHt/F3CElHI+GR/crrUHATEpZUR3bQvzTE8sdLyZCaqhNGpywZkgQ3nU+QYpZaeUshVACPEB4M+kXJNnA9fPWeOmgeSO+pcoO+ph3a0voSye9Siur0EWXliGD8UV9BUAKeUOKWVUCJEnhLgORdl9dS7b6AKPAmcLIVqEENUoIRh+FNfjB1GsqQcBi1kgYQsqklbhISFEsRDiVuD9KOQnU7nleQ0hxKHY6AWhlH7ulFL+dX+3a5qwHGs6L8W1KFUFzwCuFUIcNlcNdYlHgcuFEnd/EnA64JdSjkgp/wUghDgceBJ4Qkr5XIbP2q+wW5eklBM2b6lGCW1qROnDc4HbkuEb8wI5rLULVk8sJLyZCaqhNGoyNiRAhvKo8xFCiGohxJ9Q3KsXAD8GfgVclnRFLERcCuyUUj5iun4WimurI1mc4RsoC89CwnuALinli+qFpCJ+GSWW8zgp5fNz1Tg3kFL+BYUE/BN4EcUj0ZW8/V9J8t2LEiO44FxbQohTga0o8bVHSil3k7nc8rxFcmNkqReEEI3AF4Er5qJtMwCrsbYGKJVS3iKljEspHwb+hhK6sRDwaaAFxTL6TZSYxy5QQoSEEF8HnkaJg5x3oWnmdUlKeZuDt30lScCfAR4C3jqrjXQJl2vtgtQTCw2BuW7ALOJ1lDhUFauB7QuJ1AnlBPvTKO6rVVLKmBCiHCVG7m9KPD1+FBdYh5Sybu5a6wqnAO8RQugVbyuKi0SPBDDMwsLHUQ4JAJC06DyBctjoNrmAEg8LIZYB90kpb0r+fT6KdbsCyNM96gMWzLwC5eAKyuJ/sZTy97pbWrllKeWUMJZbns8oxUYvABcBzUA4eS8PmBJCHCml/JDN580XtGI91kZAyUqgm1MLSV+sAD6aPB+BEOJJ4Nnkvf9O3l+T3DTNK1itS1ne0pr8d97qDLdrLUrYQoUQolIXqnAwSpiahxnCm9mCej9wkhDipOSJ/ptZeKVRPwK0SynPV5WAlHJASpmnOy1+IfDIAiKnSCk/IKUs0MkAijXhPpRT4vVCiEXAlSinWRcEkidwT0aJV1JxDfB9KeWtC4mcJrEOuEcIUZs8cXs1ymGB3wGfEkKsEkJUohx2+32Gz5mP+CrwWRM5JUu55XmLTHpBSvmAlDJfd++3wHULgJyC/VjbjhLTeWXSTX4iyuHDhRLCcDVwtVDSnZ0HNACPJU+Tvxt453wkp0mkrUuZIKVsRwlV+IYQoiSZHeRk4C+z3E43cLXWJkPTHgCuT46/C1A2iQvCO7ZQ8KYlqFI5dXweyonPMIr75Btz2ij3OBx4qxBiwvSad6lUZgjfQpngm1AOtb2C4m5ZKDgUxe2jt7YdDlxn6r8dc9M817iXVGnhJ1EswI+hWHh+orv3Ikp2goWEw4FfmPpF3VhYllv2MCf4byzGWjLe8SyUEKAulBPWH5VSztvDeiZ8FuUkew+Ku//9UsoESuhCCOgxjc2PzWFbzchlXTobqALaUPrqHCnlfDr4lYtMl6PEqPaipG/7oJRycn809kCBV+rUgwcPHjx48ODBw7zCm9aC6sGDBw8ePHjw4GFhwiOoHjx48ODBgwcPHuYVPILqwYMHDx48ePDgYV7BI6gePHjw4MGDBw8e5hU8gurBgwcPHjx48OBhXsEjqB48ePDgwYMHDx7mFTyC6sGDBw8ePHjw4GFewSOoHjx48ODBgwcPHuYVPILqwYMHDx48ePDgYV7BI6gePHjw4MGDBw8e5hU8gurBgwcPHjx48OBhXuGAI6hCiMuFEGcLIV63uX+hEOLcWfz+FiHEaPJfKYT4P4tn/jd5ryX59xIhxH1CiGjy9YAQYpXueSmEmLB4naB75lIhxNV27dF9Tt1syO3BgwcPHjx48OAUBxRBFUKUAR8DejI89hvgCiFE0MHnfVMIMaUniy4xARwvhCjXfWYRcFLynop7gA1AM7ACeAF4WAgR0D3TJKUMmF7/1N0/E/hzju304MGDBw8ePHjYbzigCCpwIXA/MAkEhBC3CSF6hRAbhBBrAaSUY8A/gPMzfVCSwH4MuAP4TJZnLxRCdAohosAluluTwN+B9+iuvQt4KnlPJazrgVullCNSyj4p5deAZ4FaJ0ILIUqBZinlFrv2CCFeTT4eEUI4+lwPHjx48ODBg4fZwIFGUD+AQggBlgO7gSbgXuB3Qgj19/g78EBVmrsAACAASURBVN4sn3UuCpH9KvAfQogKq4eEECuAW5LfvRw42PTIvcl7+jbeq/4hpRwBtgD3CiHOEUI0Jq+fLaVsy9JGFe8EHsrUHinloclnm6SUnQ4/14MHDx48ePDgYcZxwBDUJPlcj0L2ANqllN9NEsBbgEZgWfLeZuD4LB/5aeDHUsoI8DDwCZvnzgb+KKV8WkrZD9xouv8X4G1CiGIhRAHw9uQ1PU4HNgLXAHuFENuEEBebnmlNxraqr1d09/4deMBhezx48ODBgwcPHuYUBwxBBapQ5B1I/t2u3pBSJoDu5DMAvUBxMmY1DUKIU5W3aTGePwIuE0L4LR5vAvb+f/bOO8yN4vzj31GvV3TSVZ97rxib3ns3JBACv1AChBIgEAIEEkiAAKEkkEInjZAAoWN6CIRiY8A0F9zO53K96Ip6l+b3x0pnlS2z0q7OBH2eR499u7O7s232nbdm/d2bvZJS6gOwEsBxAI4G8CmlNNNHEEIIgEFK6U8ppQsB1AK4BcBdhJBDs3Y1mVJqyvotSm+vBbAfOLcByf5UqFChQoUKFSqMN98kATUTUETS/zZlVhBCDOD8ObvSi1J5/+ZzBYAHMn9QSleCC7z6Fk/bAQATs/6eyNMmY+Y/FcALeeuOARcUlTmWj1L6BDit7SKB/mVzADihNxN0xdKfChUqVKhQoUKFceObJKC6AUTAaSABoIkQ8sO0Wf1aAJ9RSjPaRAeAMKU0kL8TQsgUAAcDeCJv1X0Afsxz3OcBnEoI2Y8QUgPgBp42L4PTnp4AYHneulUAGgkh1xNCXIQQGyHkWACHpddJsQy7zPtS/UkCcDLss0KFChUqVKhQQTW+MQJqWoO4GsCC9KLPwaVz8oDTfF6U1Xw+uCh5Pi4HYAWwhRDSnfkBuAPAAYSQpXnHXQ/gagDPAdiCdLBSXpuRdH82UkoH89b5wGlRDwKwGUAPOF/U71NKP81q2s2TB3UZuACpNxj78zKAzwkhLoFzr1ChQoUKFSpUUB1CKR3vPpQNQsg1AKoppb+QaHcHgG5K6QNi7SpUqFChQoUKFSoozzdNQK0BlxpqryyfzPw2enCa1gPSEf4VKlSoUKFChQoVysg3xsQPAOm0So8AOEOk2fcAPFwRTitUqFChQoUKFcaHb5QGtUKFChUqVKhQocLuzzdKg1qhQoUKFSpUqFBh96cioFaoUKFChQoVKlTYrdBJN/n6U1vroM0tLUxtdTSBLdt2YPKUqdBq+QpD7aJj5w60NDbAZDTkLO8fdMNoMKK2hitElfBzhaF09mrub8Jddq/Xi3A4hMbGJshFl47xyuxLiFQqhe3b2jFt+gxwRanECYWCGBkZweSWXX3q7u1HdZUddpuVdxu+PlBKsX1bOyZNngKdrnC9LitGTeoc+BgdHUEinoCrvl60XSoaRmdvL6ZPnlSwbnBoBBoNgdNRW7COr099vT2w2uyoquItMFYS0WgU/X29mDR5ClP74aEhgAANjpqc5T19A7DbrKiy25Dwe8eeOSD3nGKxKHp7ejF5CtvxiiUYDMIzOoKWCa2CbbKfhez+A0A0GkN3fz+mTeKvJ8F3n8LhMNzuQUycWHjPpWB5Lt3uQei0OtQ6HILbZhge9SCRTKLBWZezvH1HByZNaIFeX3gMoeNy79NkaLXs7wvrODHkdkOj1cDhqONdn31uHq8foUgYzQ2F715HVw9cTgcsZnPBOr4++Hw+BAN+NDWzjc9CfeJjeMSDRGrXtec7fmYf/kAQHp8frc2NBW1i8QQ6u3swfYr48yT6vOh0qK118K4X6lM+oVAY7pERTJrAfq12dHajsd4Fs8k4tiyVomjbvgOzp08V3E7qeQkE/PD5fGjmuW9S9yV/3zu2b8OE1onQ6/Wi2wHAyMgIUskEnK76gmP19A/AZrGiusrGfGwAOddGis8//3yIUlp0GkZCyAy9oaaNEA1i0ZHWdKn0CgJ8IwTU5pYWPPlcfoEmflxRD04+7yLc+tvfo6m5WbTtJed/H3df/5OCj+cvf/M77LvnHjj+iMMAACMrXwMAOA48AQDgNnJCxYb16/CXRx7Gvfc/KOt8XFHP2P8z+xJiw/p1+PMjD+F39z/EtO+2zZvxwB9/hyd/d9fYsvOvvg5Xnv99LJo3h3cboT7ceestaJ4wAeecd0HBOjnnwMcjD9wHl6se3z79u6Lt4p1bcMl1N+Llx/5UsO6+v/4dVXY7zv3OtwvW5feJUoqzTj8V9973ABqKmFBI8cmqVXjtleX41R13STcG8MTjjyGVTOEn/5fb92tvuxPHHXYIDj9gP4ysfG3smQNyz+mLzz7Ds/96Enf89l5lTkCAT1atwuuvvoxbfn2nYJvsZ+HqX/0ay446Aofstw8AYHtnF667/S48+8j9vNvyPTtvvfE61q9di6uv/5ns/rI8l3999BHY7Dacfub3BLfN8Mg/nwIBcNFZZ+YsP/m8i/DgHbeipbGhYBu+41JKcfKxR+GfTz8HvcFQsF6ITJ+k3rH77r0HU2dMxwknnSy6HwB45pXXsb2zE9dfdklBu/N/ch2u/MF5WDR3dsE6vj4MDgzgiksuxN+eeApGI7ugkN8nPp54YTkGh4Zx1UXnCx4/s49X3/4vPlu7HjdffWVBm/YdO3HD3ffi6Yf+KHo8oWt8/+/vxZSp03DCMv5rK9SnfFavWYu//es5PHTnrQXHFNrmjB9egV9dexVmTt01EQ1HIjjqzHPwxpOPC/ZB6nn5cMUH+O9/3sIvfnUbc/+F9n32d0/Dvfc9KKlsAIA/P/wgqmtq8Z0zziw41k2//T322mMhTjzycOZjA8Ci2TMkj5uBENLB3Dh3O1JVOzul09tRVTMDlCbh88S6ausWYHR4vbTm6BtKxcTPg91mQyDgl2xHaQoaHq1kOBKBmUeDkE/LhFb0dHejlEA1ocHAFfXAFfWgf9M6zJ86SXLQyGCxWhAK5iYwGPV4UVtTLbCFMBdddjne/veb+HjVh7K3lcLtdsPJMKBpNBokk/wVaxPJJLRatldgoL8fhBDUNxRqWJRgcLAf9Q2FwooQGo0GqVTheSWTSWg1heeUPzAPD7nhdKpfjyGRTPBq0IWIxWIwZAlgBJD9fnR1dmLCRPUq+Apdez7CkQjMJlPBckIIKGXbBwDE4zGAkKKE0/z/Zy/L/BL+UVitwpqnbKKxGIwC/Ugkk9DpxC1P2dQ3NGDGrNlY+f57zNuwotVqkUwlmdr6A0HYrBbedeFoFGaZwnM2sViMSTsoBU1REI08WYbvXlFKQVCaTEQpZbLI5cMr+FKAdVdejxfVNfzCs06nRTLJdr/LCSHEaTS5UvGYHw7XEugNVTAYa+Fw7YlI2A2ztYkSQpQ3y/0PUBFQebDbrAj4pQXUVIqC8AgDoXAEFp6PUj7VNTVobG7CE48/Vkw3x8h8fLI/OBk2bW3HrGnCppx8LBYrQqFgzrJRjxeOIgRUh6MOP7/pFvzhnt+gu6tT9vZiDA0OwuUSF1BdUQ90Wi2SAsJEMpmCVsP2Md20cQPmzJ1X1KDMQl9vLxqbxDX22Wg0WhjjhZnQUqmUpGsKAAwNuVHnVL+qbSKRgFaGgBqNxWEw7PqYc4KcPAG1u6sTrWoKqFoNUnmTHqEJYCQShYnHhMgJueznFQqGYLHwC1ByyR8jACAQDKHZQHPGEL7xBODcUUwGfoEtkUxAx/D8ZXPciSfh9VdfkXcSDGi1GiQYBZZAKASbld+FSWiSwUo8Hpc1sRAimUrlTD5ZLE/RWAxGY76AitLHMSpDqmSCbV8ezyhqsgTU7Gug1WqRSOxeAqrDtZjq9Da32dqM6trZ0GR9bzQaPWrq5sNoqoNOb/PW1S+tpFTKoyKg8mC3WhEIBCTbCX04I9FowaDAByEEN992B55+4p8laVEB4Q/k1h07MWsqu4CqNxgQi0bH/k4mkwhFIrAW+XGcPWcuzvje2Xj4/vuK2l4Ij2e0wAeQH2FNVSqVgoZHI8E38LsHB9DYpLxpP8PI8DCcLnaNJqUpXi1IMpVi+vgEAwHY7HZZfRRCTDufSiaZBOYM0VgMRn3Wu0MIIPPV6O3pQZMMYV8uWi27piYQDPK+O4QQZi0sAPT39cJZ4oSCT9jMEIvHYNCzCVGBUAhWi4CFqIhhbJ/99sPI8BDWr10jazspAU2n0yERF/eHzODz+2EXFFCjMJWgQU0mErLeASE0GiI42Ra6FpyyJPdeCVn+5CCmFZbrsqXVaRGPx5najo4MC477Go1G8PqMB4SQC0KBLtQ694DJLPzumi2NqK1bCL93Gwgh3ypjF3d7KgIqDzarFaFgULKdVqsB5XkhEskkdIyBDLUOB3R6PSKRsOx+sjDi8Y4FAbGY+ePxGPRZH6p4IgG9TlfSjPv4k5ahs2MntrZtKXof+UQk3Cgy55pMCd8LTkBlewVqamrh9Xrld5SRlEyTWSQcgdXCr9Vh2Y9Wp0MywfbxFoPlmZJzXuFIJEfjSFMp2WbN4eEhWcK+XHRaHRJJtms3NDrKG4Sn0WiQkjEpXbtmDRYs2oO5PVAoKIgJDnq9HjFGIWFoeATOOn4hQatld3/YtY0O55x3Af7y6CMlT9SzMco4p1GvD7XV/FbWaDTGqwVnhWg0ipyX2WRGJMIpD1iEwEQigUgkUuC6wLlhlBZ+4vV6czSZ+cgRUu32KiaXukgkgt6eHrS27rKOZI8/pbotqMD8uuYDUeVcAGvtTNFflWsRHI37AMDc8e707kRFQOXBajEjyCCgEsI/Y0skErL8sCyWQr9PJUilUvD4hAdePvLNUYlkEvoSBzO9Xo9vf+d0PPPkEyXtJ5toJMIUVJEU8TNNUXYTf01tLTyjo7L6KAu5AmokDLOJR0Bn/BDq9XrEE2wf73ISyTOnUsgUcMMhJBMJxbTDfOj07ML90MgonDwaHzl+rACwbs2XWLR4T+b2+UgJDEa9nlmLNTg8ApeAFkur0Qr6fItxyOFHwDM6gp3bt8veVgiDwYBoLMbU1uP1olZA4IpES9OgamRqy4WwmE0IhdkVGV5/AHabrWASnkymmH3vheBM7YUTLzGEnkF7lR1+n09y+80bN2DK1GkwMcR3VPjfoCKg8lBlt8Pvl35hNAIzY06DKkdALfT7VAJfIACL2STLQT+eZ7pJxAuDXEZWvjaWmYCVY48/EV+tX4fOjsIgSNYArgypVIoLpmESUIV9MlNJdu1cTW0tRkdGZPVTDnKDDmjAC4u5eA2qXqdnNn8KIRWEA8gPcMo3p8q9LsNDQ6hzOlXzFQYAnU6PRJaAKvb8Do2MwsWnQZUhtMRjMWzeuAHzFy6U3VdWLarBYGDXoI6MwOXkT0clx/0hG41GgwMPPgQrPnhP9rZCGA0GxGLcOUkJ6GIaVFaXLSE0Gn5Lm1zMJhPCkQhze6/fj+qqwolaUqbbDe++Rz2CwUoZWLWo9qpqJgF1/dq1sq0IFb7eVARUHupqapi0ZRoBcxanQWXXOlqsFoRCymtQRzxeOCQGkXzisTj0WUEqiWQCWhnaYCFMZjOWfevbePLxx2QLpPlEoxEYjEYm87zYYJyilDfinY/aWoeqGlQK1jABjlA4zBu4wSoQ6vQ6JMqkQZVzXuFoJCcvIWX0qc0wlBZQ1USn040JqGLPcjgSQSKR4A2+EZrc8rF58yZMmDgRNltxWmEWQcFg0DNpGymlcItpULVaZveHfA485FCsfP89xcz8BoMB0TibBnXU60WNoIlfWoMqdo2VMvFzGtSI4LHyl3t9vrF8wtkkkglmy5EQXq8HNbXSGlS3sUby+bPb7fAxCKjr1q7Bwj0qAuo3iYqAykNtTTW8HmkhSiiFkdxUKxYLm8+rXEY9Hjiq5UXfx+PxHA1qPJ4o2cSf4eRvn4Yd27fjhTf+XdJ+ImFx83620JAQE1BlCD81NTXwej2KmOp4kRkVGwpHRDSou3LvCmm6dTp2ky4rpU48OM14PFeDCsgK6OA0qOqmz2INvhkaGUWdo5b3GdNoCLMp/Kt1a7FQZc2RQa8f0zaKEQyFoNEQwSApnU6LRBEmfgCYNXsOotEYdu7YUdT2+RgNbOdEKYXH60OtwFhZbhO/kEBnMZnlaVB9flTzuLokkylZ3yc+8qPppRATUu1VVfBLZM2JRCLYtrUNc+bNYz7m/yKEkGMIIVsJIUFCyDOEkIIbzNjmdkLIm+XpdfHsFgIqIWQeISRKCGlM//1TQshQ+ndLVjsHIeT19IXfQAg5UI3+OKqr2TSoGq2wBlVGtRej0YiwDN8iVrw+f8EMWkqIyM9DmUyVbg7KYLFY8Itf3YaH/v4E+gYGmbfjTXOTpT0US4kjlBcUEA6S4rtGeoMBFosF7sEB5n6rSTgSzrkGctHL8DksFVbdUTQWg8Ggz7kncjVPoyMjzBV7ikWX9t+Vepf6B91oqOM3hWs0WuY8qF6PV3WtsNFgQDgqLfxs3bETLY3CuYC5VD/FaVAJIdh3//3x6ScfFbV9PkaDAZGsjCRCeP1+GAwGwdyuEZG8rywopUE1Gg2IJxLMLhS+QEDQxM8aHCqE1+NFlUzlhxBVVdXwSQSgbt60EZOmTIHZLJxNhhaTQuJrBCGkFsBTAK4FMAGccerWItosBnB1GbpcMuMuoBJCtAD+BMCQ/vsIAFcAOAjAEgDfI4Sckm7+BwCDAFoA3AbgOUJI6Qnm8jCbTYgwzFRNRiPvjFauid/jYTOXZGD17amy2+HzS6fLyiYcDuUNAoQ58IaFCa2tmDNjOrZ1yMuLmi0MxKLRMQ1qKVq7FKWyBurDjzoay194vujjiWHVUFjC7FkCgqEwbCXkxbRYrUyBgHLJvx8arVbU/y67PV9KHL1Oh7gMgUev16vuumA2mxFhmFC2bd+BmdP4S8lyrgvjPvyO0VRfj/5Bt2S7J198GcuOPlJwvU7Dnhyfj2gkWrQrQz7c+CcdHd7R3YuJLcJpyaLRaEl5UJXw+QQ4Ad5qtTHl6Aa4ICk+DWpmX6UQjUZg4gvSLAKny4WhIfFnj9WKoKLr+e7AMgBfUEpfopSOArgTwBly2hBC9ODkrUfL1OeS2B1GyJ8A+Djr77MAPEwp3UQp7QDwEIAzCCFGAKcBuJFS6qGUPgXADUC4rlmRGAwGxBj8scwWC0I8Amo8keCtsS3EQH8fGlUon9ngcmJgaEjWNqFgEJYsnzmxRPfF0ljvRN8gmwaVTwCNxqIwGIzMKY6EtBeUUlnm41NPPwNvv/VvxYOlXFEPjDIijgHO1CqUm5ZlPmGz2RBkyPVbCq6oR5ZGLRwJF7gtGI1s72IGm83GlMO4FCwWNp/xzdu2CxbJSArk4OVDblJ/KfgmuK3NTejs6RPdbntnF9Zt2oxTjjlKsI1OL+z+wPK+dnd3YkJrq2Q7FmqrqzDCkBquo7tHtL59JFJakFQiHpdVrEKMakb3M4DL7SokoJZKPB4vOVVVBld9vaRl6qu1azF/4SJFjvc1ZiGAL7P+/gpAAyHEJqPNzwC8A+ALNTuqFOMqoBJCZgI4D8AvshbnX+ANAKYDmAkgQCnt5lmnGG5jTTrlCqOAyqNJSSTYUzNFwmGEgkFZGlQ++D469c46uIdHZPk/hUK5FWs4P1tlq3M01buYtDX5ZEz4sWiUKYIfEBdQUzK1WHVOJw457Ai8/NILzNuwYjQaEInGmDXCQhpU1spLNrudWRMjl2xXCzlR3Zxfba5WxqCXJ7hbGHMYlwJr1o0t7dsEBVQ5OXg1GnllUYuhtaUZnT09om0ef/YFfHfZiaI5QXVaLXP1Jj66FSxTazaZAApJv82Onh5MEtGgluqDqkTe0QxV1dXw+tgsLT5/gDdISgkS8dxg2lKob2jA4ICwgBqPxdC2ZTPmzV+gyPF2c5YSQj7L+l2Uta4KwNjNp5RGASTSyyXbEELmA/gugJtV7L+iKPPWFAHhJIO/ALiSUhrMMjnkXGAA/vSy/OXZ6/j2fxGAiwCgqVleVRlWrY3ZbEYoVCigZpLbszA4MID6hsaifYLEzP1GgwE2qxUjHg9vLkY+QqEgLJZdGlStlt/PthQa6+uxcvVnku2EhDVzYARWHZv2iUDYB5JSyqzFynDSKd/Cz67+Mf7v7HMVqa+dOUej3oAYY8SxMzIqXM2HVUC12ZiSY5eKHAE1HC4sKWkyGhBlCHTJUBYNqlU6b3E4EkHfoBtTJ/JrA5MyBFRCCkurKk1LQz0Gh4YLgiQz9A0MYuXqz/DiXx4S3U92hgO5eL0eJJNJxXyICSGoqa7CqNcLfbWw32xndw+OOfRgwfXRWKw0AVVBbWN1dY2oBtVtrBkbU3x+P6oE3CVK9YnlNKjKCKg1NbUIBYOIZrluZdO+dSuaJ0zIsezxshu6oIYmHoqEiy09XKR7BdD5788opULVpDwAxgb9tHujDsAoQxsvgJcAXE4pDauZhk9JxlODehmAbZTS/+Qtz7nAACzgbkD+8ux1BVBKH6WULqWULpU74LGa+C08GlRKqSwf1P7+PjQ2CQ+eQrCk7wCABlcdBtzsZv5QMARr1kCgFchUUApN9S5mEz8fkVhMsBZ4wTWR0KDKLfk3cdIkTJw8BatWfCBrOz6yBXCj0YBolE1AjUZj0Gm1vIIEazUVm009DWo2cgTUYLjQxC8n2ToAWG22smlQxd6/rTt2YsrEVsFxIJVXV10MnZ69clWx6PV6NLic6BEIXnz21ddx4lGHw24T18iVokHt7upCS+tERXPY1lZXYdQrnsJI0sRfogY1mZQXkyCE21iD6poayYCiDN5AANV8GtQSr28qlUIqlVJM6NZoNGkzP/+zt2nDV5g7bz7TvqSenVIzjYwzmwFkX4g5ALZSSsNSbcAJqYsBvEEIiYDzQz2KENKvbpdLYzwF1EMBnEkIiaQvGADsBGeyz77AcwGsTa+rJYQ4eNYpilGvz6lHL4TJbEYwT0DNCKesg+xAfz/qG+QLqKw0OJ2yBNRgMAhLVmk8rVZTUtADH408Jn45A0csFmP2CSNEOMiLUgpShOb6hGUn49XlL8neLpv88832QZW6FqK10AEAFI4DTxDdh81uRyAQULS0JB86nY5dgxop1KDq09tn70OsSITVai1ag8r6DLL4oG5u347Z0/nN+4A8E79eL88Pt1ham5vR1dNbsDwai+HVt9/FqccfK7kPnU6LRKK48aKnqyunjKUS1FRXoyPE3x9X1INEMome/gG0NgvHAESi0ZKi+OM8xU7EEHsOq6qq4fWy+qCqY+LP+J8qOZFw1Qub+Tdu3IA5jALq/zgvATiIEHJQOlr/1wCeZGlDKfVSSvWUUhOl1ATgQgD/oZSqJ3wowLgJqJTSUymlxqwLBgCTAZwJ4FJCSAshZBaAH4O7wEEALwO4mRBiJoRcAMAO4BOl+6bT6UApRVJCa2E2F2pQo/G4rLyhgwPqCqiuujoMDrMH9YRCwZwofg1P6UIp4Ye3H1mDrtVshtcnrr0TG6SjsRgMjOZ1Qoig5SdFaVHVm/c74AD09/fxVsUqFjmawmAoVOCrmUFEHs9Bp9PBYDAgrEKBiGwcqTCzyTcUDhecFyEEBsOumupSFcwsVhuCQXVN/EaTCfFYTHR82LJtG2ZNFRZQkyn2cpN6vR6JMqQEm9jShE4eAfXtFR9i5tTJokJcBr2u+BK6bVs2KxYglUEqZWD/4CAcNTWiGtJSK0klEqWbwzPa+uqaGng9rD6ofmGNdwnz0lg0Cp0C7k3ZcH6ohco8Smlagyqd/1TtyfZ4QykdBnAugMcBdIHLaHQHIeQcQki7WJvx6XHp7A5R/DlQSt8Ed3HXA1gB4D5K6Xvp1VcCmA1gBMDlAE6jlCqr3gMwZGILWOJM/LkO+DGZOfNisVhJ+Syz4TM5yjWnx/NKiOr1xfuUCfHIP5/CofvvW/T2cuqYSwmgxWgBtFodnC5X0VHwfMK31WxmrrMdCIVgs/JH8GsIe85Fg9GoumbOajYjHGYTgodHPXDUFOZWrKmqgidtppWaHCVlpngrBkKIZOnbDVu2Yt6sGYLrdQI16/ne4fxJo1rMnDoFm9q35SyLRKJ4+PEncd4Z32Hah16vQ0xmCd1kMoG///XP+PSTj3HkMdJaWjk46xwYGR4WXD/q9aGuVtxVKhotzQfVPehWLI9tTW0tPKPiCofMMxQIhWC3Ffptcn75wmOElOvYxq++woyZs6Q7K4OGxiYM9BcKqCPDw0gmk0xKHBa/btYUjbsrlNJXKKVTKKU2Sul5lNIopfRxSul0sTY8+3mMUqrsy6YCu42ASikllNL+9P9vpZQ6KKX1lNJ7s9oMUEqPppSaKaWLKaVr1OoPS4S3yVxY2SOeSDBr9wAuAELNCN2Wpkb09rMnl8/P2afTahFPJBSZnbqiHnz6ycd4/6PVuO7Si3nXs2AyGnm1jeUcfPw+P+w8SbClEDpHm9WKQCAo2Q4AAsEQbBb+gAGiYa9ao8+rKa8Gdht73sZ+txsNrsIPubO2Fm7G1F7BYDDHh1otnK56uAUyUQSCQfQODGL65EmC2+v0OuZCCfmTRrWYP3sWNmxpy1n2t6efw/zZM7FkAZuJ1WSQN+kJhUK44dprsGXTRvzhwUcUL0jQ4HRiUCSFUSgUhkXUXYaz2GQrHaS0+DnbRqPwekZR39DAvI0YDkcdRhjehV5iQSQSLSnThxAff/Qh9t1//6K356O5pQW9vYVZJLZva8fUadOZFAmJpLwCORV2f3YbAXV3IvPySs3GzKZCrVc8HodOIAcq38Cm0RBFcxzmM6GpET1ZAqqUEJfMS4mi0Wh4I3PlmPkzwtao14v7fnsXbr7mypJ8o1grxGRQw/QT8PsUSygOAHabFQFGc3tQRIOq1Why8tby3aflmzkzrk4F7Xg+VTarZBnDDAPuITS6CsuUOmprMDLKNnnJz0KhFi6XC243v2ViQ1s7Zk2bIqrJNcjQNMrxVy2FyRNaoNFosPzfXNzq2g2b7IrkCQAAIABJREFU8NJb/8HVF1/AvA+DQS/oqsI39nz84UpodTrceudvSk61x0djvRNDbuGUdqFIBFYBd5kMkVgMJhETv9iY2tvTg8amZsWq8TkkNMIZBgcHUedy5Rw3E1hbqoD6+aersXTv4i1gfDQ1N6OPT0Btb8e06WyZJJPJFHSMbjMVvh5Uphs8pFJspeB4Nagya9cTolG0UlM+LY0N6Onv5wKCWGahiQS0mtzBVK/jPqalplX6x3Mv4tD99hXVxrBoUU0SEe/ZqVbUSKeRSqUQCARgUzAJts1qgT8gHX3uinoQCIZgFTLxyyirqNXqVK+6ZLVYEI1EmDJbDAwN8WpQzSYT84SkXBpUV309wn0d4AJjc3nlP+9gr0XiqWU4X002AVWpSkQZhN4xjUaDe266ARf/9Oeostvx+z/9FT//0aXMKeoALhuFnOp169etxd777qfo+WXT4HQKRocDnN+zVJWoaLT4Uqc9XZ1omTChqG0zZAvADkcdRiVM/ABX/KWhsYlXeCakeBfUIfcg4vF4yeeUT1NTM/p6egq+U9u2tWO//Q/g3Sb/OZZbwbHC7k/lbvKQSrGVwDRbzAU+qHJN/BoNQUpFAdVmtUKv08Pj86GWoXZyKpWEVpf7sTDoM4EPxZe28/h8ePmtd/DP+++VbiyByWhEJE9LU07zfjgUgtFkkj0YignfdqsV/rz0SK6oh/e8hkdHUFfDf74aQsZ8G6W03Gr4Fxf0R6OB1cpVraoW6HOGQfcwr4Bq0O8KkpIivxKaWjidLgz0dxUs/++HH2FTWztuuOJS0e31Mkz85dKgApwW9dfXX4PLb7wFJx9zJA7Zd29Z2xv0BkQZ8/kCwFfr1uGkU4TSPpZOg8uJIQFNN8AVvGAx8RuKFVC7u9EygT3wS2qCbrFakUwkEAmHYRLR/A7096OhUchvs/jy1Zs2bsScufMUn/jbq6pACIHf50NV1ndqe3s7vnfOuQXt+a5TMpmETmSiMx7+p00zUrBPYQuTGdGn4PtI5Q4pACHk3+DSV3Vg11yHAKCUUuGEwkVQ0YfzwPmfSr+AZp7AlrjMWRwhGtFa5UrQ3NiAnj42P9REolBbo9PpEJcZ+JDP0y+/hkP324fXhCsXuWVBlTbx+/1+2BUuIWizWhFgzN/Z0SNcO1yj1TL7NOt0esGylEpis9skzfzhSASRaBQ1VYV1N4xG9vtdNgG1vr4gfdvwqAd3PfgIbrr6CkmtnF6nY9agppIp1TSMfCxZuACP/e5uXHXh+aLt+D74UtaNbEaGh+H1ejB5inC2AymkhI5qux3xREIwN24oHBY18WdSnMlROmTT092laGYCQggcdXUYGRE38/f39wkKqB5TddFj4qYNGzB77lymtnJSBxJC0NjcnOOHGgqFMDzkZr5+CYUtDRUEOQ6AD8CRlNKD07+DlBZOgYqAyksqlYSG4UE3m80I52tQZaaZIgprUPkG7JbGBnT3idfZzpDvgwpk/OWKMwW7oh4EQiE89+obOPf0U4vaRz5GoxFRVh9UFUz8fr8PdjtvAbMCMmU/pQZru80KfyDI9OHo7OkVTCxOCMnxQRVDq1PfxA8AtTarZNWqAfcQ6p11vBNDo8GAGGM1qWAwmFOqVy1crnoMDO0SEiiluP2PD+CkI4/AwjmzJbfXy9AKJ5NsLkdKMmvaVCazdv54YzQYmM9r/bq1mL9goarnRgjB5ClTsLWtjXc9X2qzbGLxOAwGfdEaw+6uLmZzOKtAV+uoE80gAQADfX1obBRIC0aK/+Zs3rgBc+ZKp3zKnIscIXXhoj3wwbvvjv29Y/s2tE6aBG1e4JPQPrlvV0VAVRvKaUBO58sOoDQVAZWHVJKtwhBfov54PAG9QJAUHxqiQUrhRPj5tDTmBkqJwfcx1Ov0zOZIPv729HPYZ/EipjyKLHBBUjLSIwmMxcVqEfw+H1MEv5zB2WgwgBDCpCns7OlFq0D5Xi1jCq7lm3tlafFKocpmhV8i7+3A0DAaBCK45WjMyxUk1dDYiM6enjFh7JX//BdDwyO4+KwzmLY36PXM0e6sE+bdAYPBwDx5/GrdOsxfwFYGUgqxynqL9tgT69fyJ3zhKw6RTTQqXLVOCkopuru7ZJn4WXA4HBiWCJQaGOgXzBxAIBwkJaaRDodD2Llju+IppjKccuppePutN8eKYKxasQJLlua6mIiNqXzWvwrqQCndWI7jVARUHiKRCMwMWhiTiQuSyn7Z5ZR2BACtTl57KfheYFddLYZGhJNVZ8NX5tVgYA/oyOe/K1fhrfdW4CcyIoGlMBjYBWaDXifuE1eEZmTnjh1onSicQqhYLIy5UAOBIH8JQ3DPH2uaKZ1ej2QZBFSzyYRoRPy8giLVsXR575SYb21+qV61cNTVYdHcOXjpzbcAAC+/9TYuPvtM5kDCKruNOZhIyrduPBASZAx69knPtq1tmDl7Tkn9yB7vhIQXV0O9YGBRo8uF7j7hao98SfpZM5i4Bweh1+uZshPImcw6XS7RzAQA5z5R5+R3p9JqtUgUMTd/7513sMeeS0R9X4Hiy4k6XfVonTgJ7W1bAACffvIRDjhol9VYar+JpLwAZUop7rv3HkW/v2pDCDmGELKVEBIkhDxDCCnQlAi1IYRYCCGPEUJ8hJB+QsgfCCHKVlxQmIqAykMwEIDVKp0GSafTQavV5pi0OH85dm2jvgx+gLXVNRhlrN/MV8aRT2jNRmjg2LFtG+64/2HcfeN1cEgEyMhBTtCMnAhwVra2bVFFi2CxFAqo+R/gZDKJFKWCmgKtVsNcalIvQ4tXCiYGl4yhkVHUCXzINRoNc333UDAISzo5uZp1t11RDy45+//w2DPPo7uvDzs6u7D3HouYt7dbrQgyphVTOopfTXRaNgE1mUxi547tmCJSbUsKFuEUAExGk+DzN3/WTHy1hd/8D3AaVoNIkQQxjWP71jZMnzFTcD0AJvefgm1c9aKBX5RSjI6OCgrGWq0WiURCVtAQpRSvvbIcJyw7WbxvfAoSGec3fcYMtLe1wT04CJ/Xi6npFFMs++BKyvLLW3znGomE8e47//navFvp0qVPAbgWwARwgUm3ymhzPbhCR3MB7AFgbwDi0Zxs/fplqfsQoiKg8hAIBmATKhGXh9liQVdy1wzbqBfOA8gHl4tSWthiGciE1tfVVjPnkbRarQjmBRRw5yTfxP+Px/6KC793BubMYMtjx4pBX6hBFfpYmY0mRCL8H6eYprjJ49YtWzB9pvSHRy4WkwnBkLimMR7nskQI+cTptDokJEr0AsDJs5thsVgK7rUamExG6APiGvy+wUE0NdTzruOsEmxa4VgsBoNefsS1nPuVaTt7+jTMnzUT1956Jw7ce6msNGxWi0XyXmdQMvhDDaE9++Ov0+t4J9z5AkJfbw9qah2wMo6z+cg5D4PRiGheOsAMs6ZNxY7OLsExu48aYDSaiooAlxJQi9Y01teLps4KBgPQ63SCFQq1Oh1S6Qkf63kNud0YHhrC4iVLBduInQ/ruU6fMRPt7Vux5ovPsWjPJbL8k+OJOAwy3Ot8Xm9OxoCvAcsAfEEpfYlSOgrgTgD5PkVibY4C8BtKaXe6KNJfAByhQL+OVGAfvFQEVB4Cfj/zwMkFSoXHXnSjzPKROolqPvmCqaAZS2QAqK2pwQirBtVqLYh45Wqhy9e0DfZ0YfF8tohPOWi1WqQoZTLNGI1c0IZQW59enjk4EPBjdHgIrRMnytqOBQtPXt184om4aJYInU7LrEG12e3MVZ5KQajyVzb9A4NoFhJQNex+2imayvHXVFOLCgAXnXUmtnV04vAD9pO1ncVsRpCxBGwqmYT2a5LfUa/TMWm7t7W3j2nH5CL3noqNySaTEZMmtKBt+w7e9ZFIZEzQkyuktre1YdoM/nK3pTyX9RICqkdEewrs0qDmI3Z+O7Zvw9Rp03kFxmK0wEJMnzET7W1bsObLL7B4zyVj+2dBbg5yr9eLqqqvlYC6EMCXWX9/BaCBEGJjbPMDAG9lrVsKoFelvipCRUDlIRgIMAuoprSAmsFg0DNHHAP8JQ+lIr/lDgaO6mqMeooXUOVEHGeglKJvQFgrVgqEkLQWNXeQ5bsuhBAub6qcoCoR2rduxcypU9CYYE9GzorFYubVqmU/C7G4eJ5dvqpfQthsdgSDyp9HPtz1j4o+t72DbkU0qKkUW4BjNnLes/xl0ydPwn233oQD9loi65hWi4W5cphSJn61hXUgkz5LeqxwDw6iUTBP5y6yx8JiBaEGTUJQgwoA82bOwIYtWwv7aKxBNBKByWzKWcb3/3wopWhvaytwBVJCmHO66gWrmAFIm/eFiyvodNqcSQSL4O3euhFzJhYGZhZjeeBbnlk3cfIkuN1ufL76E+yx5xJZ+48nEtDp9WMBc9k/Pr6GGtQqAGMf8nQUfSK9XLINpXQDpdRPCLESQu4D8G0AdynQL+VT5aT5ekzLVSLz8Oc/wIGADBO/yYxIWkB1G2tg1Pvkmfi1uQJFMYOX1DZVdhuC4TDi8Thc4E/+nsFiscKTF1AgJ81PBp/XC4Nez1sLWgn06dRXJlNuhC3ftTCbjAhHIjlBOPkfGtbrvnXLFsyZMW3sWEomf7aYTEwaVLEsETqtFklGbaPNbi+416zIzVAg5QfcNzCIpnp+AVWTV75VDMqT1F7p+5TPPnvuIXsbm8WMEKuJP5EoWUBVUjgVu5asOZNjsRgMRvHoeKX6nJkgCTFv1gysXrOOd10kEoHRmGsqZ3mWhoeGkKIpOLPyPit1PrUOB/w+H+KxGPQ8qcA8o6OoFdWg7jLxs+CKetC+swP7LF6k6HOUv6/M35OnTIHX48UCh7zCMIlEAn6LA6w2sXIIqPtN1mPSHDaXo40eHdqBpYSQz7IWP0opfTT9fw+yquUQQgzgZLhs/ynRNoSQwwE8BmA9gD0ppd1yz4mH1xXYBy8VDSoKX5RgkC1ICshoUHdpQnx2p0wfVD0Sae2kErNRPjQaDWqqqjDq9Um25fNLlJMSJ8NAfz+aGkpPyi8EFyjF1ieTyYRIVFzwY6WnqwtTJ+0y7ys5YLNE8UuZsTjzHaOAarMhIKMsZbFkCwh87irhSAShcBh1tfwf/rDRyhxpm0qlQGT4ran1zmXDp8kR0pbzkSzRxF8OzWnm/PyWWkRTtGBdPvF4bMxnl09LqmSfjUYDoiLv/7xZM7EhL1Aq0+doNAqjRNEFPrZt3YoZM2eCEKL4+Wi1WtQ66jA0NMS73jM6Imri16RT0WVn+5ASurft7MCMKZOL6W4OLPd3/tRJ2HeRdK7VfCKJpCw/cJ/Piwar/HurMp9RSpdm/R7NWrcZQHad8DkAtlJKwyxtCCHHAHgewLWU0hMUEk5BKb1Dif3wURFQeQgG2Ot5m/NM/HLS/ABpk2yRaS7kDHyOmmqmSH6r1cobxR+VaeIfGOgX1IgpgUHPnhDcbDQiLBAoJRefz8tb7UgJLGaGICmJUro6OQKq3S6ZQF8JuCj+XZOJ/Ge2b9CNxnqXYOCXRqtFkLAJaCnKX6Y4XzBWWmhgJSPIxavr4YnEcgRXISHhaxXFn/aplxJ44unyoeW4ByajEUmRNGeTJrSgb9DNOw5HwmGYjPKFmK1bt2DBlImqnd/ESROxc8d23nViEfwA5/ak0+mYJ33xeBxdvX2Y3MpWcKBUfnDm6bj4rDNlb5eIx6GTESSVGB5EDUM+692IlwAcRAg5KB2t/2sAT8pocxOAqyilT5etxyXyjRVQxQaOUCjIlAcV4D7yA1lVmjQaraDAyZc/T6fTjWlQ1aS2uhojDH6o9qpqdHd25pxDMWma3AMDaKxXT4PK1TJn87W026y8uQ6z89eymoD9Ph+q8nKQCpmq5MKiQSUAfIEg/AF+zadWq0WC1cRvs5UlSMpgKMxskX2NAkHufD7lMbO6jTWiicXzSYlUXSpFKC1Fe8qHxWJFKMv/V+z5S5Zg4i+3EJ5MJsDikhaNFl/fXi5CLiaZa67TatHgrMO/lr+CZDI5tjwWi2LVyhVobJJXYMQZGcVXn36C+bPEM32wwncP585fgPVr1/K2j8di2N7ePuZ6ls/Yu8T4Tm3v7EJzQz1MEi4ZSuF0OOB0CPvQ8tGrsXLabhmTieHRUUXTH6oNpXQYwLkAHgfQBWAQwB2EkHMIIe1ibdK7WAjgz4SQRNbvHaX6Rwg5lhBiIIQ0EELuJoRcSwgpSUX9jRVQ88keBIaHhuCoq2Pa7viTluHF558dy7NHBTQ4QlCZJslisVrMTHkXFy1ejOqaGvz2H88AADxeH1Z99jkO2XdviS1z8fv9qFa4Xn2xfP/00/C7R/8yFpSS+QDF43HZH8lwOKSaX63FbEZIwgd1cusEHH7Afrjl3j8KtiGMPus2W3k0qPF4AgaDsNZ3wexZuO6yS3Dj3ffg/Y8+KVgfCPhht9uZJxHFlqXkoxShVqy/VdXV8OVZNISOk0gmxjI3jIfWNxupe7BpwwbMmi1d6jUcDqG+TCnCdTouyI7vXmY02Dff9Vu8/fHnOO+6X+Ltf7+J7q4u3PTzn8Fmt+OU074DgKu+JoUr6sG2nR1wDw/jgL2FUzKVypK99sZnqz8uWN6xcweCgSAsVisuv/hCfLa68H0aGR6GzWbn9V/lY/WadViycEHJfVYLt7EGLz33LKbPmCmYWisfV9SD7V1dZdMKKwWl9BVK6RRKqY1Seh6lNEopfZxSOl2sTXq5jVKqy/spkWYKhJA7APwenL/rwwBmADg8/f+iqQioPAy5B+FiNE/Pmj0Hs+bMxSsvvQgAqIuMMkURZwa7JE9QhxpwSeA54UfsI6fVanH9jb/Ep598gseeeR7Pv/4mDtt/X9kzzUAgAHuROQ5ZoJQyCyIzDzwCC5bshdv/9HiOJi4mEGQgRigUFi2NWApWhsAZQgjOuuzHaO/uw6ufbywQGLgJEqOAarfDX4QPqlwhKRKNimpfCCFYcPhxuOmOu3HbfQ/j5c++yjF9+7xe2BnTwaRSKUUF1GKREuTsVVUIBAJpjaM4iTgnoGauO+v1Hw9hdv3aNZi/iCtYIHYNQsEgrCpN9PLRaDQ55my+6zKhdSLu+t0fcMKyk7H6k49x7Y9/hObmFvz05zdCr9czCacZ1m3agiULF6ha/Wv6jJkIBgLo6+3JWf6XRx7Gp6s/xjXX/xw/uOSHePj++/CL63+Knu5d7oZdnR1oamlhPtbqL9dg78XsRSjUhC9C/6Xnn8Ubr72Kn97wC+b9UEqxfWcnpk5StgztN5hzARwMrrD4Eem/zwBwUik7HVcBlRAylRDyXrok10ZCyKHp5T8lhAylf7dktXcQQl5Pt99ACDlQjX65B91wudj9J8857wI8/8y/EAj4QVMUhFFAALgXRVsOAdWUaz4W+3hVVVfj9rt/i5fefAt/f/YFnHnKMtnHCwYDsNvULTnJIohkPpIXXXo52tva8NTyV8bWZfzg+BC6PpFwGBaJUn/FYjaZJE38bmMN9AYDfvijK/HwA39EJBLJEQSEBLTs8zl5Npcuxma3lUWDKiWgZvo/Y+Ys3HLHnbj/d/fg7X+/ObY+O9pWSvCTM3FRi0wfk8lkjmCQjVarhc1mg48hcDGZTECnHf+EKywa7HVr12DhIumsBiGR0rZKw2W2kI4L0Gg0OPyoo/HzX96Mp55/CT/6ydVFuVas37wFC2YrW2kufzzSaDRYus++WP3xLi3q2i+/RMfOHWNuO/vufwAe+svfsHjJUlz9o0vx9JNP4NmnnsSdt96Cw486ium4sVgU6zZtxtKF86Ubq0zm+UulUnj3nbfxwB9+j19cfy1efvEF3HnP75iVSgAw4B6C2WxSLZ7gG4gBQAjA8QC+pJT6wGUTKKKo7i7GW4P6DID/AqgHl4/rCULIEQCuAHAQgCUAvkcIOSXd/g/gfCpaANwG4Ll0GgXFiEQiiETCqJahMZw4aRL22Xd/3HHD9Tj3qmtRz+geAIj7zCkJa533DHVOJx749a9w4ffOwPTJ8uvOB/x+2FWsic7qk5jBYrHgptt/jb8/vxyffLQKQHFVh8LhECxmlTSoDCb+DHsuXYpZs+fg6Sf+CWDX4C1HQLNYrIhGIkxavAzFaOUi0SiMAhOBfKFnxsxZuPPe3+OJxx/DXx55GHfeegs+/mgVpgkkdc/vz+4goGZYtXIFLjz3LPzk8kvx/rv/LVhfXVMDr1f6eiYSiYLgj2KryqnJQH8f4rEYJrRKF7EIhcZPgyoXOdpTAPhqSxvmz1bG/1SMvffdD59+wgmoqVQKf/3Twzj/wouRSqXGXM70ej2+/Z3T8YeHHsGWTRuxZfMm3HPfgzjhJPGSpRm2btmCSRMmqGoNk8O29q245orLsfyF5zGhtRUnLvsWfvfAQ6hvaJC3n44OTJukfLGVbzB/AvApgEfB+bnOB7A8/SuacZuWE0L2BOAEcCvlpI2/px19fwDgYUrppnS7hwCcQQh5A8BpAGZQSj0AniKE/Bycn8ObvAcpgiG3G06XcESxEOecfwFWvfYi9lq0cCxPJh/5H2S5aXGKxWoxIRiSl2qppbEBZ596Ss4y1pyhwUBAXQEVgNQtyr/WDQ2NuPHmX+GXP78e9Q0NGOjvgz7LN1Lq3JLJJGKxmGrBAhYJE3/++Vz4w8tw2YXn48hjjkXLhAlwG2s4Ez/js6vRaGCxWhEIBFBdrV6wQDQak+WP3DpxEu754wN49MH7MXvuXPzoqquZC2dwAup4z7s5Vq34AJde8WM4XS48+uADoJTi0MN3uXxVVdfA6yn0Q82/z4lEEvXJEIDdQ0jgIxDw4z9vvokFi/ZgGjtDwVDZBFSu0EPxAqocfP4ABoeGclLRKUX+s7F4yVLce/edGHIP4rmnnwalFAcdehj+9PCD8Pt8MGblYG1obMIvb71d9jFHR0fR4HIq0v9ScBtrkEqlcON11+Lc83+Ao487viTFzradnZg2Sb7ipQI/lNKfEULeTP//fULIQnDC6uOl7JdZQCWEzAOQrRo0AvgHpVS6HAg/SwBsBSeYHg9gB4BLwUWaPZfVbgOAMwHMBBDIy921AYCihd6H3IOyzPsZHHV1OO+7pzG1zczIl2/uhblMPqh2mw29A8LVR5SGK3agoomfUhRTwGL23Hl44tkX0N7Whm3tW9HYVFgdRYhIOAyTyaTa/SpGy/2dM/8PjzxwH2759Z0ghCBFqSyzpM1mR8AfwHSTtAm3WK2clImfD0ddHa7/xU2yjyXHB1dN4rEYPv90NS689DI4HHVw1dfjhp9eg+kzZmJCK+f3VsOsQeUvb6t2AYJs+Hydn/vXU9i0cQN6e3rgHhzArDlzcfb3z2faXzgUhK1MJn65qf+ykas93dC2FXNmTFfN/zT7nlssFsyaPRsXfv8cHHr4Ebjp1l9Do9HAXlUFv9+fUySgWNRWNMihY+dOWK1WHHvCiSXva3tnF/ZcID/XqlwOnFiHPWezfWNsnbX42uR/4oFS+n7W/9cB4K9+IQMmAZUQchuAHwKIgpMKKAAXgN+UcGwnOGfaswFcDOA8cDm8Qsgq1QXAD658V1Xe8ux1fH2+CMBFANDUzC6EuAcH4VQxf2c+qTIJqPXOOqz45FNF9sWiRQ0GVdagSphyxT7cer0ec+bNw5x58gaocDjMnH6sGLj67OwCKgAs+9apeOuN17H6o4+wz/77I6AxoJawf4zH/FBdNtUEnkg0WlDxSy12lyCptWu+ROukyXA4uDn9tOkzcPb3z8edt96Me+9/EAaDkTPxe6QF1GRCuDhD/j0rl2n/ow9X4u23/o2zzzsfTc3NmDhpsqwk6ZwPapk0qOlKZOVw/1i/aTPmz1LW/zSf7Hv+wx9dCUJIjluF3V4Fv4+ttLUUu5OA+tW6NZi/UJlgrW0dHfjOiccpsq8K6sEqGZ0PYC8AJwJ4m1LaDOAGAKWW51lPKX2CUhqmlD4IQA9OcM2eWlvAleny5C3PXlcApfTRTDWGWpG6xPm43fICpEolmUpCq1E/CXeD04nBoeGcZWp+zIKBcgRJqbr7AiKRMEwmfq2P3AhrPqwyNagAJ2xffNkVePiBP2JkZBg0RRHSm5kFTU6Dqm6gVDEa1OIZXx/UzHX/aOVK7H9gbgzn8SctQ31DI557mtOTVFfv0qCKPTeJZBI6nfAYUe7CA/F4HPc98AAWnHQGDjz4EEybPkOWcJpIJBCPx8v2TBBCxqonyUGu9hQA1m9pw4Iy+J9m7nXrxEkFPr9VaQ1qMf3PJxBU2RImg/Vr12KBAgJqMpnEzq4eTJlYieAvBkLIvwkhnYSQFYSQD9K/FYSQD5Q+FquAageX9LUNQOYJeRjAZSUceyc4gRQAQLivigacP2l2yOBcAGvT7WsJIQ6edYox5B6EU8UE8/mkkilotOprUPkEVLWIx2JIJpOqfoBkxkgpQigUglmlCH4AMJtNCIflz/n2XLoURx93PK654kfo6e4S9MHkE2BsdjYBtRThhxNQy5OUPZUa/yCpVCqFj1etxH4H5AqohBBcfPmPsPz55zDQ35fWoBZquvKvdTKxe0TxZ7jrz4+jytmA1rmLJIUgvolSOBSCxWIp633SpLWoQizf3FuyQJdKpbBhSxvmKxzBL4TQpMRmt2NFWxeA4oTsbNQOdmUh41v/1bp1YynMxOA75+zrNNDfh9rqKtWysXwDOA6AD8CRlNKD07+DKKUHK30gVsloJTiBVAdATwg5ClxwUiliwpsAmgkhPyCEmAFcDqADnFPtpYSQFkLILAA/BvAkpTQI4GUANxNCzISQC8AJzoWZiEvAMzqKmhrhMnEZWF78zODMV0Eqg06nQzymfiWp6io7ItEowoxR4nLJHgDiCS5vo5ofIL1eh1gJ101I4BLTPBJCQGlxvmws2KxWhCKRokrfnnnWOVj2rW/jwxUfjAnRLFrU6uoaeLLMzGpo4RKJ8pXq5O7ROMxesugH1ntbAAAgAElEQVTq7IDZYkFzS2ES8IaGRhx74olY/sILGB5yS94rSini8Tj0Mko4qs36d9/EXiedXvT2XKW+8go9Wo0GqaT0u1uKoOr3+0BAUFc7vtWJzGYz4lF5lhghAoEAqnYDDerwkBuEcO+PGCz3LhAIoPrrVeJ0DELIMYSQrelUm88QQgpORKgN4biXEOIlhPQSQi4ppg+U+wienikAoCasAurZAIYB1AC4CsDfADwETqgsCkrpKICjwfmfDgA4BcBplNI3wAmp6wGsAHAfpfS99GZXApgNYCR97NMopYqGZ8qtBFUqdU4nhoeHVD8OIQTOOgeGRng9IhTFbDYjFoshkWBPXySXBqcTA2XSCGeob2jA4MCA4PpShTudVou62hoMDhX3PJx0CpdxYfKUKczb1Dc0wD2465zU8EE1mYyIRmPSDRWglIAYpRgcGBANvjvsiCPx4Yr38Z8338TRxx0vuq9YLAadTlc2AV+KIbcb8WgEztbJRe8jGAzCOh5auaz5sioTMYmKaWqRfy6xaAw6menzhPB5vUAdewyHWng9XtTKLH8qRCpZHrc6pSGE1AJ4CsC1ACaAe6JvldHmfABHgrM8HwPgNkLI4mL6QindWMx2cmGSxCilQ5TSn1JKd1JK36SUTqCUNlFKn5PeWnS/qymle1FKqyilR1BKd6SX30opdVBK6yml92a1H6CUHk0pNVNKF1NK15RyfIE+qaL5E9KiOl0uDA25FT8eH/V1DgwOKyPUSWkarVYbAkHp0qrF0lDvxIC7PNctQ1VVNZLJJPwB+dWXWGmur0dfkdkWtFodXn/nPSzcg33MkRK6lcBkNPLWQi8WsWevnCmFhBgcHBCNoJ40eQqMRiMmT506FtEvBOf3LJx3t1xR/Bk6O3bC0TyxpDFy3ARUGRSjRU0k4tAoJBiWQiQagc6gjHuVz+dFdTVbFTe1cEU98Pl2FesolWSyfBYdhVkG4AtK6UtpBd+d4Ko1sbY5C8DdlNIeSul6cILsd8vU96IQFVAJIXMJIR8TQnyEkHcJITPK1bHxglLKXMtcDNYPh9PpwnCZBC2nw4Gh4ZGyHMtmt2FnTD1NdKPLhf7B8gqohBA0NDapmq6rqaEePf3lSwdWX18OAdWAaKx8GtTxFlB7urpEk9UTQnDOeRfgnPMvkNxXJByGycwf9FZu4RQAujo7UdNYmkYtlK4V/79GPF2SdryJRiLYb0qx2R9z4coMj3+1JZ/XiyrGcsdS2KO+r6uAuhDAl1l/fwWggRBiY2yTv06RNJ2EkF+Wug8hpN6mRwF8AOACAOcA+DOAQ9TqzG6DggpUqZRM9qoqxGIxhMMhuM1sSfCLpb6uDu6Rcgmo9rH0RWrQ6HJh3abNquxb9LhNTdg0HIBjrjr3qrmxAX2DZRRQszSoagk8RoOwBlXp1Faa3UBA3bljOxYv2Uu0zYGHHMq0r0gkIpg5IgNr8Qwl6O7qRE19U0n7CAYDzIUXlKIcfslcvtrym/jziUYjMBqVqXbn9/nSGlT14yTE8Pm8sEsIqKxab06DWh43vg9eewk3XnctU9swl8FlKSHks6zFj1JKH03/vwpcnA4AgFIaJYQk0ssDDG3yU3UKpumUyZEAfqXAfgqQElCXADiMUhonhNwCoF+NTuxulDO6lBACp8uF4aEhphKBpeCsc8A9VB4B1Wq1IaiiKbyx3om3PlBHgyr2wZ/QOhEdO3bggIMOVkUwaKqvxxfrv1J0n2LUOhwIBgPohhlq5VwwGQ2IRFT3pwewe2hQO3bskOUHLEY4zG/iHw/tKQB0d3Wh5YA5Je1jvEz8ao/riXhhSdpykT3Ri4QjMClQjjkWiyIej8NsscBNyLiUz83g9SrnapBMpqAtU5zJsqOPxO3Xswmor7/zLi68+rrPKKXfEmiSk2ozXeZdh9xUm2Jt8lN1Cqbp3F2QuktaSmkcACilIYxjaVSlEYuaLTdOVz2G0mZ+NT88LketohpUsb7a7Hb4Vcyv2ehyYWCwuGCiUgba+QsXYv06RTOb5TBpQgvatu/gXVdMv6WeJ41GA6fLlRMopTRK+6CKodVqkRpHAdXr8SAWi435oJaa5ofToCqjDSuFzLPX3Vm6BjUU5Ez84yVkq0UimdhNNKhRGBVI8efz+lBVXT3uadu4vlR8UAFsRm4KzjkAtlJKw4xt8tcplaZTtQdk9yhavRuRCZIq52yRExDUN+u6nHXl80G1qatBbXA5MTA0VPYJxbz5C9C2eRPiaZ9KpT+y82fNgNfvR/vODunGClHf0KiqH2pZBVSNVtXsEVLs3LEDk6ZMUeyjHg1HYMrL1zhegl0oGITX74ettk66sQhfhyCpYkjEuYpf4y14R6O73EJOZiyzyYff59st/E8Bri+KCaip1NdVQH0JwEGEkIPS0fq/BvCkjDZPALiGEOIghOwD4HsAnlWgX68rsA9eJDWohJDX0783ABiy/n6dEKJax8YPiup4EEB5ygYu39wLp7M8kfwuh3JR/FLYbGkfVHAfVKUHbbPJBJPJiFGvMiX9WLHabGhpbUXbFnX8X7VaLY497BC88d/3VNk/H2pH8ptMRkTKlGbKZDZnfLnGhY6dOzBpcnHmfd6k9llR/GLvUDmEou7uLlTXN4KUaB4NBgOwWsvrg1oOEok4dDIqaqlFJBKBUYHSwl6fF9UyApMy47waz6LX60WViLAsx1LxddWgUkqHAZwLLg1nF4BBAHcQQs4hhLSLtUnv4k8A1oDzUX0OwI8ppVsV6Ncd0q2KQ2qkOR/A0+nfv8AFS/0r/cssq5CH3BfU1VCPvp6eordnpa62FkOjbC4nGeF8ZOVrRfWrpqYGbpWj7JvqXejpVzcCnY+Fi/bA2jWKZzgb47hDD8bbKz5UZd98k67m5hZ0dghrbEudqJmMRsULRAg9i9U11Uz17dUgGovhow9XYsrUaYrt0+vxlD2gSIitW7agpkFaIyeV7N7v88FmL3+idLWtLdFIFAbD+KaZisdiCAQCMEsE1mXukdh9GhwYQG1dadpyJaCUYnCgH9U17N8fsfMKRyIw7gYTiWKglL5CKZ1CKbVRSs+jlEYppY9TSqeLtUkvT1JKL6OU2imlrZTSfO3rboeogEop/Tul9O/gSpyeBeAGADfn/f6n0Gi0TAOZkOlEbjqYk2c3Y88lS/HZ6tWqB3eMer2oyZuFSgkfmfytcoXmvffbH6tWvI9EIqFanfAFs2djzYZNsrfLn+ULDdRCfV6y19747JOPZR+XlZamRgyXKGRln4/UvZu/aBHWr1VP4LZZLAiGSsuJy/JBBbhctX6/r6RjFYPH58NlP78JLqsJRx173NhyoXEicy7PrdmOv7//ecH6zLO3ft1azJu/IGcZH2pbe8KRCJ5+8p+45Jz/E2yTf3+E7lVPdzeaW1rK6kal02mLqtAGAK9t2qX9F3v+PJ5RVNeUL6MCH6+89CLmL1iIqupq0WdP7O9M/z//dDX2WLynOh2VwYYtWwEQ2RM/vvNyRT1o39mBqZPUDUiuoAystpp/gisp+n0AZ6Z/Z6T/3e3RUX6ftPwPtyvqgZmkihYUWYW4zMCR+bepuQV1TqeqwTcA0NXbh4kthYOWnAFVbIDO3s+E1lZMaKzHJ1+qd05LF87HZ2vXSfZFDKkPKt9+5i9chM7ODng96gjeRoMBsVi8KI1PRkhwd27HPf98bszNIpv8Ps+cNRu9vT1c1RgVsFqt8AeDRW8vJZRmn4+9qgp+v7+sQkJP/wB+cM3PsHDOLNx+/TWSASrZ57Pl4/fx9K3X4IafXoM1X36R084RGsa6NV9ijz2X5CwfDwHouVffwOy588aE5Qx8QtBrm2JjQl32ubqiHtSFR9Db04VFrvL6Nur1esTjuamSWK5j5jzEzimzH7/fD7t9/Hw2dYMdeOZfT+IHl/xQsE2m75nz4TsnAKgNDmHNZ6tx7GIuYwPLtcpcC6Wfz7dXfohjD9pPsMIj3zllTyry2bJtO2ZNUybLRgUOQsgOQsh2nl8bIeQjQsit6ZL2smAVUBsA3EopXUUp/ST7J/eAuztajabomXY2+RqfjPCaeXnzB/aDDzscK959d+xvNcz8nT09mNgsbaITGmAy57J8cy+e/ddT+PFlP8STL72M4dHcWu6Z30F774WPv/iSd19KsOeC+Vi7cXPRQTH5g3Lb6pW45Mqr0LEzN4o+/3ro9XrssecSfLZancdfo9FAp9UiznNerIP/uv++gS/eeBHnnvld3HvXHYjxfJwz+9Lr9Zg7b75qEyS71Qp/oDgBlU84FZtI2O12+H3l06BSSnHlL3+F0044Dldc8H1oNBrRe5T/MV3b1ouqfU9FzbyluPeuO/DEC8vH2m7ZtgOu2hrMsmkL9pn9t9oCazwex1PLX8EZ3zsLADd2ZX75ZAsGfELCgHsIVTYbrBbZ36qSMOj1Be+AXHZ+qRUUfFxRD1IeNxot42c6fuQfT+H4Qw9C68RJou2yz0HonNZu2oyWxgY4HY5x1QhTSvHOilU48qADRNvln5PY/tq27cCsaVMV62MFAFyO/G3g3EKPB/BjAJ0AXgTwSwD7AnhI7k5Z00b9HcDlAO6Re4Ddnfxcltl5FIsVEotJLXPwYYfhyksuwiU/ugJ6mf4x+cKvEF29fWht5k8RI5Yw3W2sKTind9/+D4485li0bd2Ex599Eb/9xc8wf/bMnDb7LN4DN9/7B9bTkE1NdRWaG+qxuX17wbFZyR7YUh+9D2t1La6/+ip8+5gjcem5Z42ty78+RyxZhFUfvo8zDtmn+BMQwWAwIBqNwiDjWci+Rx0dvTjhnIvgaGrF5hf/hqtvuR1333g9zHkpizLntWjxnlj75Rc44KCDC9aXitViFjXxsyTrz75PJ8zh9/NzRT2YaCIIe8uX2q+7rx+hcBjfXcZfyliKhHcQ1pY5mLnPvjj32MNwy/XXoKd/AEc3W/Bl1IS991gkuG25BIc33/sAUye2Yp8JTgh5lS/f3Dt2jzICwuTFhRP9jp4eTGppUaurgnAaVOGJbEbYzh/n+ISd1zbFcPLswn34A0HUO8fHZ3NbRyf+++FHePbR+yGkO8w+NyEhbnRkBE/+4Ta8+sUmXJg1/o0XG7ZshcGgx/TJk0Akxon8c+Kex96cidTA0BC0Oi2cDodaXc7Bt+4jjITY5IHAJvnuarsRlwKYRynNDEqbCSGrAHxFKb2OELIewBZwVnhmpEqdbiKEbARXKeA3hJDRzLLMT/55jA9ig3n2Q6/T6UrSoOYPcJRSXHXDTXjwj78fS1bO15eGhka0tE7Emi8K/dFYkfrId/bwm/gzsJhnXtsUQ2B0GP2Dgzj526fi5quvxA1XXIqrbr4N/8/emYfJUVX9/3O6e3p69i0zk0y2CVmYCSQQVokECAFBg4TNFcUXBH8orqivoLKIAgoqKuiLgAooIAqySBSBEIQQIBACWSdkISHJJLPvS8909/39UV091dVVvczWM0l9nmeeZKqqq++Ze+veb5177rn/fX1N1LWHz5xBc2sr9Y0jlzngmHlH8tb6DSl/zjigAoT8XTTs3sGiz1zG7//4AC+88iorVq2O+kyUd/jE43hj3TsjtoVn5iC3B12+pY9nNvsJtB5gTWsJGT4f115/AyXFRXzjups48NLTMZ8p9bdy1IIFrB+hhV852Vl0D2JlvdHbqBPq7eS5e+/ggmUf51/vbI35TH5eHu0jmH/XzJvvrOf4o+YnlVbKaM+udW52rXPTU9dAXe1Elm/p47WWIPfdfiu9fj/X/e0//O6Bv3DSsUePtAlxCYVC/PnxJ/n8hXa5w+2x8s7t3ruP6VPSIFA9npgpfiuMYsZY9ryax8ireSwigoz9vL6QtK2jg/w0LWh77qVXWHbWGRTk5cXtw/W2B9E2Pfr357j0ii/xpf/5PE2d3dz+uaV88uODe+kaTl5Y9SpnLPqw7fNl5Qwy1pOR5lXLWfvPv3P4YY73dAQIAFNNx4oZyJGaAbbvTrYkmuK/Evgy8CVgMXCe4Zj+c1DhdrssY1AHE1uzfEsfW1a9SOOeXWytbeQz3/gOW3fsjNzPzKmLT+elF1dEfjem7Yjn3Yz3u5EP9u1jahyBand/s1BYvmItU6rnR1J1LDrxeG664HR+fMed1BrSFbndbo6fP48174xsHOraQQhUI7vWuendvQH3xMPJyPSRX1DAj77zTX76qzvZ9qx1mriiggJmV1baxsAOFZ/Xi7/PekBN1A5D3W2Iy4PLpw2Wz2yr58vfu46C/Dx+/8JrUZkZdA6bOYvm5iaam4f/ZSInO5uuYUj9tOuVvex78AYaVDFLLv0qd97xc+7804PU//efkWsK8vJoG1WB+i7HHz1/cB9WIfA3gK80csg/YQrXf+trPPCVT/P41Zew8Lhj49xg5Fn91ttkeDycsMDek2tk1zp3RPjo6P1H86rlbH5jFdOmDD4352AZyhS/0Rbj/yE6y0lHZyd5aRKoazdsjNsOzUIuyo7O3bSveZJjP3o+zz18P9/82CKmTSiy7CdGE6UUL65KbnrfKLr1f40iVbdlR10jcw5z4k9HgGuBF0XkbhH5vojcAbwE3CEiU4DXGMQUf6JV/P9N9DMYS8YyiWJQU4kvC7Q38OqTj7Lksq9y+v98hc987hK+fv1N7N2/3/LzJ596KmteW01fn3VS82TFqNXx/v5+6hubmFxeZlv+eBi9Cb27NzD1iGjPzuEVpZx79Bx+98BDUcdPOOZo1ozgQqlj5h3Jhi1bk/KO6FhNRzauW49vxoBN86oO52MLqrhj+cu29znlpBNivMbDhdebmgfVaFOgvYGg5LJrrYocc7lc3HD113lnVy3Pb3gv5vNut5sj581nwwh4UX2ZmfT3B6Keq0SDn/mlaNc6N67aZ1Elx1G46DNMqZrHnXffy3s73+e7Dz3D2//4MwAul9DV3UMoFBp2O8yEQiHeWm8tDOz6CeNgmrvlYSQUInfrE5aDaa4vM+27+Cx/4UU+cc7HEpZDt8ss5natc6NCIVb87S/c8sQKXn9vN/NcI7eBhx12U/yJXvZ0e7pa3qOrRXturLxzO//zGB/sq6Ugf/TTZ/X2+nlv5/vMrxqIO7Czy1hHuk2ZW+6mv+xsps49KhJS1LR6heXnR5Mt23aQkaFN7+vEq6+8msei6gkG+o/27l42fLCf197bzZRA+mJqD1bCKasWosWdTgVCwBVKqZ8CncDFSqnrU73vIbOTVDLxpEop1m/ZyoypU+Jeb/WQWE1HBjtb8BSUUzRRm9JafMaZXPHZT3H1j26hs7s75j5FRcUEgkH6bTxnQ6Grp4csny+l+Fbde2qeplN93WQbEjjrA+r5xx/JK6+9RqdhxXbvCOcGzM/LJdOXOSivWdRAE+jBnR2dlPrik49hd0MLb/3jQcvPt7S1kzdCO+IIyedtNMeW7d9XCZ5c5MCLUdfl5uRw3QVncO8Lb7D5megUxqX+VpqbmqJyDQ5XjKOIkJExMMWqtxc7kWo1FQ6gcqZCcCCfakFhIb/+0XWcfsQsvvvQM5xy3ic455LLOe/sM21X/A4nTS2tiAjlEyYkvFZ/jqI8PZKJ2zuJ/u6NsfcOC4R0erGUUry1fiMfShBm8FRNraXw0W4SZOWf7+b5l1dx4uxp/PrS85hcXEDzquVRPyNNhsdDIBgrUM39vLHtNT3yRIzgMVL79ms8/dYm/vTI43zlD//gzFMXUT1r+HLgJsvOD/YwtWISPpvk/LpNv304aCniVKgXciojv+ttr2n1irS2vzXvvMuCSUW0vGq9H5DxmdLtsuKe393FF373V/6wcg1HZ4VYOKcy7d7hkUBEzhKRbSLSJSJ/ExHLtyW760QkW0TuF5F2ETkgIr8WkaQEg4h8TSm1TSl1i1Lqy0qpbwPvi8jzSqnWwTozDxmBmgzrN9eglOKoudUxg7OxI7Pq1HSvqT6g7lrnxp1TSLA7+j6nF4SYW5LL9T/8ARAtAlqam/H5fOTk5kbFO9ql70hFQHjcboIpeJV0G80iAUC8WfT1xk7Z5vi8zJ9WwcsGr+Kad97lxCSnBweLpLAVsLlTi+DJJtQ3YFPzquV43C4+VOjhxY3bY+4TDAZ59sX/8rEli4dUdjv8fX1k2gh7cw5XiPbM4fYRKj0J6dkX9bnmVcupLCvmvBOO5PcvvBZ17kB9A3X797G4qnJEUsV4XO6k0rdZ2aNPGavcGUhP9FRl6+p/8/Fj5/K7Eyp46Guf5R9/+D+u/eroRB4daGhgYllpwuusple7Wt6ju3UbHt8MQgHr9F7p9mLt2rOX7CwfE0sHbLRqF8u39FkLH6Vw1dxFb2cHv735Ryw5cjbujdaZL0ZasNqFbtkRbyU4QHdbK1f/6GZ2N7bQ3h/kmmWnc/HsEtsXI7N9w2njntpaptksftUx1lGqpEvMvfXueo6ujA4H0fs+/ZlKJE5Dfb288J9n+cOVn+S62blcUFmEx63V0Wi9HI0G4W1NHwG+C0xB83H8OMXrrgGqgLnA0cAJaIufkuFKEblJ/w4RuRN4Cy2H/qBxBKqBx//1LMs+ckZK02rm6WJj/NXebSUEu9tiPGFXnnkSm/bW8d5OLZ2RLgh6dm9l2sTyIYsDq88bsxMYsXpAjZ2AUSTo/3dlZNFvEVPYtHoFp1Yfxr+eegKAQCDAuo2bOf6oQcboDTNW4jQiUj3ZhPzaSnP979e0egUnl+eyctMOGl7+Z9S93np3AyVFhcwcoYTPvX4/vgT5NHWMNkXan68MegbigY02LQ418n5DC/954O7I+ZWrX+eUE0/AM0JbALpTfEHSMQ4+ufvehp7amOepafUKXCLkZHph46ujNi2+v66BSQkEqllwmwdTceehgp1aPCrWz266BtF1Gzez4Mgj4l6j9xFWAkGFepGOrZz1/76Nz5cZ5ZlLxHCLB7fbTSCYXPtLRsy9/ewTLD1jMZ/N9/O5WSVM3qetF7YSoiNdfx/U7o9ZW2Dsw/W2Z2+Pony29kxFYjVX1kddMdp29fX3s37TZuZPsxfeydTTnO51HDFvPsW52ZFj6X7xGyHOBd5WSj2plGoBfoqWqz6V684EbldK7VVKHQD+ACxJ8vsXAWeIyHJgGzADOFYpddXgTUqzQBWR74rIXhHpFJGXRKRKNH4pIm0iUisiVxqunyEiq0SkR0TeEJHq4SrL2g0beWv9BpaddWZKnzOLU9CmuPJqHgO3F3Fn4O/WprxL/a00rV5Bx5qX+Eipjz/e/duoe+2p3c+USROHwZpYrARqvA7GKLz1TkC3z5UZ60HVH/oTZ09jw579vPLXP7Jp6zamTJpIYcHIJ682z4YbO2jzDjdW3h7c2ai+2FRIU3K85Kp+NnwQHTf8/MurOOu0U2KuHy78/j58mZoHNdFUuLntAShfOdJbb/k5r9vFV848if97fnVk4cjK1a+zeOGHhtUGI3YvSEbiibmulvdAvEiwj1B3rMdxx8r6UZ8Wr2toiPIuGjF6ueNNQ4orA8TDlFkDCZyaVq9gx8r6lG0abtGwbtNmjj5ibtxrlm/pw/XaLdYnVR9k5OP2DGQz1IVPsiJhuOxJtv0lFnNAbz3b177GpZ+6aEhlGi7b9uyrtU0fCMTOFlkgIpEMBnodGdufHSP1rL36t/uZNqGQXIuwhWTqST++9fX/csHpiyJ2pNr+xhHzAWPS8Y1AuYiYV+3Fu+5y4DnDueOApHJkKaWa0cSsQvOaLlNKDTlvVtoEqoicCFyNprxL0Haq+h1aotcz0NzMZwE/EZEF4Y89CPwXbeOAx9Bc1UOmt6eHH99xJ9d89Ury85JfhWk1zRA1oAIhdxHProvOHrhjZT1LKvJ4Y/seapY/Gjm+d/+BuB2NFcl6W10uV1IeLOPAajWo7lrnDk/xD4g548Peu/YVvvvx0/jJ48/zk9tu44TBrnBOgWQdZlHT4GF04a3CHlRz8vEdK+v5cHkuKzZuj3TGgUCAl15/gyUnLxyW8lvRG2eK34gxPtjY9nJ3vQx9LShD3J1R+Mys38acSaVccdVX2VCzlW3vv5/0Su3BoE2xhuJ67I1Yibnu1m243Hn0t2gvC3rbN3t7YHREqnmK3/yd5ql9q8G0q+U9XJ48Ai2JxwE7L5ZZmA6X7e9s3MwMv/VLDkTPsFihVD94cmLKNBiROlSvXbIhJhC7Ut+M64N/cOSpH6GoQItZN79MjDYf7Ku13YBF7x/iT+0rMIVJvdg10K8kI1JTqZtkrn9nVy1HT4+f7SFRPdFTR8uBWhadcBwQ20+MUZF6nIi8Zfj5UpKfywcib+5KKT9a6iezd8j2OqXUJqVUh4jkhKfoLwB+Fu9LjWlHgbXA4WhJ+XcORyrSZBP1jwRBtCdDL4MbaAY+B9ymlNoH7BORR4BPiUgTsAA4QynlF5FfAD8QkSqlVE28LwpIfDPv/8O9HH3EXE458YS411kNpPFiYPJqHqPLGx2Hqj8kB1Y1ccpUH0+8uYH/V5BL8clL2VO7n5PDD9Nw43a5CIVCKKUQkYRT+9r0yRNRdun/d3mz6Ovp0hbWmAaemYvLOLxxB3dfcRH3v/QmHypI7ypkM7ZTQu5sQn0DMZvGzmthWS7fXbOdLy4+AVYtZ0tmOVMmTkwq/nAwBIJBlFJ4PLHt1mrqztIzJy7wFhLoaASswxD+99zFPLFmA1++5jpOPenEpATxYNE9WEY5U3zyQJ5Fs/fUZTOgijuPuvX74UxNTBvrSXu2VlCyUJuVsmrjxu8cKvvrGzguQfhKVB3ZXCMG0W3kxa4+MNmULM2rlg/J1v119fT19zGluMD2mkgfYXeB6kd5BhYR7lhZz4tdfZyeM9DOmlYPzjYjydjp8SQnUOO1PQClQkjjG8w//W7L9pWqPUOtJwhvwDI51rGhP1Px2l4Ei276xa4+9CVfydplJzp1G5OdCVi3ax+XnGI/FiaqJwBXwypmHb8wamGw/rB5RUoAACAASURBVEzNXKxls2lavQKuujFhmQZL+8a1NNXHrmGwomNPI8BbSinbpMMi8n3gJotTfwayDNd50bSVedeS1njXicjpwP3ABuAYpdTeBMW+MsH5IZE2gaqUektEnmYgiLYHLTD3NaJd0JvQPKpHAVvCih+lVEhEaoBZQFyBmoh1a9dyy3e+HnUs0ar/gSnwBDF77oHYRh397fT8KRO5dt17HGjtIP9fL7N2dx1fvfTzKZffiJ1HVUTwZmRoU8c2qz3B5BW2uUY8XqZk90YdM7+dFmT7+MbHFgHRndJwCgQdlyvxAohEwgdPFhMzB2wqWbiENTdrDvqiTA+nTcrj0rsfZf60Crbsq+ObH10UsWu4bVKh0JDjKLta3kNySwh2tmAWqJFOmhe5cOESjp85lbKT4oe2DHUgzfb56OzuJt7+LfH2z9YRVxbibwa0Z7Rk4RJ2rHwkSvjEG0yHsy329PSSbdqZy454HixxZRHsir/71WCF3GBt3PnBHuYcNiNhgvS4njmlwOXWZiX22V82GNtSJdPrpccfnb7PvNgwqf5cBXB5vXizsik+eamlF87q2EjZ5+/ro6e3l6KCAsv6jteP6wSyy1Gh2P7T+CIBsXalKsTtjpvLrJRiZ10TVRXRDoDorDJJxMr31FE2bUHUIbNN4w2l1C1ATEyNiHwRLb5UpxrYppQyLxapsbtORM4C/gpcqZR6lCQY6VSj6ZziXwKcDxwD5KGp9ocwuaCBjvAx83HjOav7f0l3k7e0NMcty6SKCuoaGgdhRRKY+nf9zQ1ggs/DXZedz2lzZ1JRmM8dnzmbivLylL9CF6WJpvuLCgtoabNeMWzETijkFGnbiR41NSuSMqj45KWULFwSZVc8RmLq1ZeZSa/fOncsEBVLa0fZ7Az6w/fQBy6jTZ+bVcKDX/kMHz68kps//VEWHl4ZOTfcsX8ZGRl43G5bm8zxwVbkFM1BZRQQ6hnYl95uQJk2oQjftrdsyzMctpWXlXKg3m6jzAESxcv5J51AXlGsP+j0HG/SbVBnqHYV5ifeFCCZ+D//xBNQfdrLkS66dVK1ycxgbezp7SU7KyvmuHHjjkQr3XumnEx23kA/MXNxmaVAGIp4S1aAJ9v3xaurnKI5dM4+BxFNdOt1NXNx2ZDrabD0+v1k+XyISORvYczAkmgRUU7RHLKLvBw7UROo8eppJLCqv97+AIiQHY7BtxTdCZ6pnKI55BQpEImqp4OYJ4FFIrIovFL/FuDhFK+7AfhWsuJ0NEjnIqnzgD8rpdYppTrRUhzoPn1jz5iN5n5uNR03notBKXWPUuo4pdRxRUXx992tmDyZD2qtk+fbYZmqyEBO0Rw6qi4ip0BFrtcflNNzvJEOIHPLm5w6dyafWng0EwvzBj2gJBOLWlSQT7NNJ23OearbpYtSncoFQdyeDFy9sSIhXSI1y+ejp7c35rhVQn4rOqouwpXhI98dP+9oXlYmH5k/h9kTrfNeDqddebk5tHdqCc3tBuFENpGRT3W+5r03eovsBh9z+YdTeE8qK2V/fX3SgsLc7iLHPDmE/ANtTx9Q00FhQbToMduWjEdYsymLib6Bl5HRFglW9PT2kuXz2daXLn7syCmaQ/lsifLMpVPMFRUU0NJq3feZc9Ta0VF1EVOP6MfnHb5MF0P14ttl+0gUH6zTUXURFSVZBAwv58nW00jFcLZ29VCYbT0zkUxMrT72Ti5wcWxFUeR4ul8mRhKlVBPwBbR1OnuAeuBWABG5RES2J7oObQHVfSISMPykNVA3nQLVvGQ6gBaX+g5wpOH4XOBdYCtQLSIugPC/hwND3mtyUsVk9hoEajLT+2aMA6rV4JoKI5XCo6igkNY4XgQ7Mae9jWoP/dJqLx+qLKdvhPagHwxmD6pd/Vl1ajlFc6hcEGTRnFx6DamzUvUMDzd5ubl0dETvuGPOTWuH3v4Kp+XR3RFd32Z7zIPMSKWQmZTAg5qMTR1VF1E2x0fI383yLX2R53Ckp4ftKCzIp7U91oNq9DLGI2LT7Ez6LfIKp5OeXr9lKFAyYk63C7eHEp+2MDOZjVJSJRVxV1RoL1CN2ObTPOn7VC4IcvpMN2LIdar3E/EYyfbZ22stUJMRcrpNGd5MAja7F44kdvXX2t1DYU60L0p/ppLxnnZUXUTlguiQhZEILRtrKKX+qZSaoZTKVUpdagiHfFApNSuJ63KVUh7TT9zGKyLTbH6GZeBMp0B9BviciBwjIlnAjcCzaLm3viMixeGV/hcDf1dKbUeLV706fP11wMbwYqohMXnKFHbWJZ5+NGK1cl8XchD9kDS8r3XmT9XUptXjU1xYQLOpk7aaPrFDt2cCfVH7WifTSZsZTgGU5cukp9e+g7Xr1CIDKXB29TR6hmG/+OEiPzeX9s5YL7U5XZYZ48uRKzufng57D1+qDKXOJpaVsd9CoJrFXKJ6cmXmRMV0W4VjjBZFBfm0trXbno+3gFK3qXJBkIWz86LSto2FKcnesAfViFlkJrRrho9QYCCLhFU/MVovF0X59rNHycyGVS4IsrTaq8WHGwRqQ2bhoPq/4aLX7yczc8DTbqyjRB5u3abZ5UVUFQ7UdTrtAWjt6qUwOytSFp1kvae6XZPzB0RuuuvpIGYrWlzrVtPP/vBuVB8Zys3TJlCVUq8A1wJ/Aw6g7WDwReBeNC/qbrRUUt9USm0Lf+wS4BNoq/2XoLmqU8Jql5xJFZOp3afp3GTe9BNN3Vm9wenCzxxjFo/h9mLF8yKYk/Kb0b2ny6oqUt4nfqTx+XxxY1DBvlPTO7OsrCx6TSJhMIJuuOosLzeHjs7Ee5abX5BgoP2dMLuY3o5oAZWuDtroQS0+eWlSf1vjCx9odeXyZaNMiw7T5R0pzC+IOyNhh26T3va8vti8wlaD6Wimxenx+8my8cwleuHT7XJ7PAQtthdNB0WFhZZ9XyJPd07RHEo+c36k7wsFg7hc7pjcynp9jfbz1evvi/Ggxts8AYiaDVtWVYHPl0WvIUTKKOYS2TPYNhnvmdU8qNZT/IlEt7Gu7HBE6vChlMpSSmWH/438ABnAj4A7h3L/tCbqV0r9SSk1SylVoJQ6VylVp5QKKqWuUkrlKaWmKqUeNlz/nlLqxPAf4RSl1O7hKEdZeRnBYJC//dN6z18jiTo03dMDsLTaG07SqU1zJROTNpIUFxbS2BIbspvordssuDM8HrqDiobMwshPOt9Os30+urpjk+wnM5jq+Hw+Sw9qumwqMC3AMU/v23nmomzKzaO3U7vHUzW1Ud7G0fbOTZ44kT21+2N2gdKx2mxAxyh6zjyigIzgQD2lc5q/tKTI0isMyb3ELq3WPF8fnTuNgF8TCLo9Vi/KRhuTFQaDFe99/f1kZAwkeUkmbMFYT8uqKjh91iRy3QOrRM3CZzQWR+lMKC6ivqnJ9rzV82QWcqX+VpYcFv3cGJ8rHaN98WwcjherQCC6niC5tnfVZ90RmzJ9mfgN7U+3SS9fPFsGU4eJ7A5NmklOpjdq0VeimFqruhIRVChka5PDyKGUCgFPoW2nOmjSmQd11PCo+G/xbreH+372E772wxvJqpjOhxZ+eFDfYxRy+uAjHi+EBmI7n6qu5fKTlzJzsX1qlZHyCE2rmMTb6zfG/Y6OqouiBJ150Cn1t1LrcqFCsUIj2XIPt30TiotobNaEt3mvZggvgjLsdmP29CyrqqC/v5/+vr6ozy2rqqA0TTZNLC2NET9mm/RB1SqsZGm1l8Y9vkhmAnM5dYGTSkc9FBsnFBfhcgn1TU2UT9AWmRlFN7gjNhntAaLq6W9vdxHs74t8bmm1l4bMwkg9jUbKIp3q2bPY+cEeurp7yAlPSSYScnrb0wUCQH1dHUHDVPhTNbUsq6qI+/ceaRuzfb5I2Eyi2Ger5wkgw5NBIGyX/jfRn6mhzDSk0g71sk8sDdLW0RGpK7OoND5PRpuMQg60fKqhcEq7ASFYm5Jdw9lXeDwZ9Pdrf2Nz28spmhMluu1s8mZ4ae+xDlUpNtk0Gv1FTnYWwSItr2t0RoInrK+3scvtchMybE6jP1d6PY1GP7FvXQs53uTiew/0xM8IMl4QER9ahqYL0DZgGjSHhEDVMU7tl/pbI42/1N8KkybytUsv4f5HHk5aoOoDaF7NY5Yd9FM1tYjHi2/X63ia6+iouojlW/pYVlUR83CMxjTl9KlT2LXXPu9u5YIgu9a5o7xwZnEK4HIP7EoVNfDEySQwkvaVlpTwwb7EU3U6VqK73ltAIBgkFArhciU3sTCSNk2eWM6b72jr/+zCTvRB1SzkQKuPB+sP0O/vsRxIRxsRoWrWTLa8tz0iUGGg/cRve1MjxzzeTAKG8BLNNs0uN8kPoMNRd77MTKpnz+SdTZv58PHHWtaT8YWvo+oiShYEuaQ6eiBtycggZJgKN9o0FDE3FBtzc7Jpbh14ns2i22xX5YIg95xfqdkU7lvdHg+BQL+lYDcLn2QYjDDVac4uYfLUaayra+XwqkkRm4zeRuPzpNfT5TOyaV7xEM3h73e7PYRC1g4P44vSSG8SoePL9NIVCMbsAKhj7vd0Eec22JThzaC/v9/096iNtNFU62qodubn5kaFN0UWRxlssnuRcK94CMLfr28Ootu0tNobI1IdRoRctB1B3wO+MZQbHTIC1Uo8mY+detKJ3PGnv7B500bmHnFkzPUQO31SuSAIC87nkmo3MDDw6B2GZGSilPbGnVfzGLu4KOJFHQ6MHVOiVFNTJpZT39hEX38/3vDuGua3bnPsrFHE6Q+0q2wOzd29UZ+zevBHKzawbEIJa9dviNllyUgi0S0ieDK8BPv6cPl8cUXCaNhVMbGc2rqBzQ+sbIJYr6kx9ioj00dnV28kUbBu0+UzslMuz3DYXD17Flu27+C0hR+yFHPx2p6Oy+1GoVDBAOLWui/tpS++6BmpOjtu/jzWrt/Ah48/FoiuJ7Potmp3ABneDIKBQFT9GutqpMWcFTnZ2TT2BmyFD0R7uHVxqpez9OSl1GV4CARsvI1h4WPFYHaKMmL3QjdpUgUH9u/n8Kpq288aX14vn5FN86rlkdmG4pOX4vF4CIVFj/73WM5AXzHYMicqu7G9GK/pzCmhLzxLYpfEXq+nqz47ILiNISJF4mJPf3TfEtX/GeoqUTscjucsLzeX9s7OmBkWI7owNb9IGOvK5Xbx9r5mmDBgk/4CP1xldYhFKdUIxN/5JUkOGYGaDG63m/Mv+gSPP/pX5t70k5jzdkIuatAxJM1fVlXBwx4vqIFr82oeY/mW8xN6HBNh1ZE1ZBbGvafH46FiYjl7avczc7r19pc6Rk+ceUtTt8uFCkXH1erXG70Io0VZSQl1jdbxZWbRA9aimyUX487IIBDo47ktsR7U0e7MJpeXs+/AAVshpw+OZq+98eUoI9OH6o/ND6vXkZ0QGKpAsKN69iweX/5s3BcJIMYe4wuPiIDbiwr2s3u9tjikckEw6gVpNDl2/jx+dd+f4i6uNL5AGD1yoIuejKjV7rvWuQcygCR4pq0YjvoKFpTS3bUWiL/Lki5O3SseYptB9BSfvJQMTwZdvf6ImKtcEIwRPsNd/nj1kJ9fQKchJtuq7Rmfp20/viyyQ97MxWU0r1qO+4RzI1P8OrvWuaNE6mD69USLc+3OZ2Z68futY06NL+W6h7F5xUORHfL0OHRvhpf+vr4o0W1XV6PRD+bn5tDSFR2TbbWOwPgise22qw27Ga4Ie7vdhELBhDY5jF0cgWrizLM/ysN/foC9e/YwZerUhNdbih2dJRcjnkxQgahYoI5wLGqyD0kqOQQTDWiVUyaze89eZk6fZhsvZyVOjbF9bb4CVCiU0IswWpQUFdIQXqFrN/DoxKsvT4aX5zZ3sXe7tn/4UAedoTChpJiW1jZt/3q3O2bw0P81e+SaVy2PiDSPVxNyKhRi97sZsTbZDDYjNQhVz5pJzfYdKKV4eqv1xhjm+tlmiJVtXrWcZUsu5l6Plw/WBcA7MCuRrro6smoOu/buo7OzgxV7O2LqKUacGjxyuk0Zp32aYKAfpRS739G65BjRY6iTeF6s4ai7hsxCsnNy6O7qipv3VG9/pf5Wtq1ewb3PaOFDp+d4KVm4HM9x5xAweOasRCokt8lIMmVORG5eLp3tHbYxwsbnyb3iIXasrI9sS83KekoWagtEg4H+qEV9RiGolyUVm4aSI9brzYzEzserp2VVU3GHxanZpkxvBu83RWc4ML4k6WUcrecqLzeXzs6OKJvM27V2VF0U8Zzq4jTaruWaQDW8TET+NmEHuv53H/0Ra2QIb1V6F5pJy4EvKqViAluTuU5EbgaOVUqdPeIFj0NaV/GPRXw+H4uXnMnKF55PeK15MG1avYI1Nz8SGYBK/a148opRoW7b5P3GlfB2P6kS7zMV5eVsa+qIusboBdVt0u3adtvVrLn5EXasrI/YVVhURHe71llZeShHIil3PHJzsunqis4ZatVRW9WXcaorKy+fULf9TlujicftxpeVRXd3d8yAqg8eMWLutqtpWr0iImDE5cKVXUCwM/5Wv6NFaUkx/kCAznB2An3wMdaVuX52rKzn3mf2RtWTO7cI/PYrsgfLYJ69ttxSSiZMoLnJ/m9sFqdmm9xuN5k5ubZtz4w5TZf++3C+WLhEInHmVpi9V/c+s5fd/QMLbZpWr2CGN0goECDUF+vFNzLYfs74+VQxtz29H9Pb35qbH+FPrY3s7m+P2NW0egWZPh8ebyb0WYs1YxaGZH+GQl+fn4C2d41lmkCjh9vOptKSEjrjbAdutikZhmJrq68ganGT2XtqjDnV255ul5Gi4hK626Kz1ugvSMlspDGeCG9b+gjwXbSV8wL8eDDXicgC4NsjXOSkOCQEakA8KXUESz7yEV547lmCwVjxpWMUB7owMKL/fsaJswgFtIHHmNdxpB8SW3vzi+gOp2Sy8jbqNrlXPMS22662vMWcbBehQIBgT2yeznhpclIhlY6tq3Ai/t5entxiv2eD0TNiFAo6pf5W8kpKCbQ3xojuRPVkLt9widms7Gx6wnVlJbjNYs7qvKegnEBbXdRxve2Ntuhu9BVRWFjEP9a9Z+nt0b1x5voxbvlZ6m9l2rQKSsvs63owA7/d9cmIC6XgxffrbW3Sxan+ovdiV1+MTfkTygm0228WYlW+4RalRrq7u+lQA577vJrHooRCZBo8LBCscLlc5JdNJNB6ALB+mTWSar2len1LSwu7/GLradTjaLfddvWANw6YnpEf+X9ZXxslk6czceL7dFRdFOU9TUcawfq6OnKLJ8RsUa2j29S0egV/am2MHDfaNG3yJNrqD0R9Tq8rK5sS9cvx6iRRnTVkFtLV1UV2Tk4Cj/CAl9uOiZMm0d5YF/W5g5hzgbeVUk8qpVqAnwKfTvU6EclAy0V/zyiUOSGH1BR/MtMUpf5WmDWb4pIS3lrzBieetBCwFin6YGr3kDSvWk7BpFMJ0Y8K9SOujKEbkQJWHUF2dg6NDfW2U+HxBI+OiFBYXkGgdT/urNlRnZkxCD2ZwcNcH4k6Pav6c7s9ZGRkEPD7ee59V6RTM3sa3YYgeqs6yyspo8kkEow2JepY7X4fbExaVlY2yzft5rW2Mszxf2YxZ8dhlRUcaK2zPT/Ucur3SPRZ/XsKCgvp6WgnsnLBgB4jZxSnZjEHUFg+ifr6A5AZO72qx6Iav1PHroxDFepKKUTE9iWi2Ty1akF+aTlNbfVo+5VEo9s0mtOsXV1deLOyqUkwZRxPIADMnTmDza0HqFxQmfR3x2uTQ6mr5qYmyg6bZzu7ootTO8GtM2HKdHY1fgCuBUCs8DG2wZGmvr6e3KISaizyPVcuCCZlU0lRERLsJ+TvAvIthZydTYOtj3htuaurC79kWIqTjqqLePx8i3AFC+ZOyKe9oZ7Kk62FqT6mH1U1O+Xyj0HmA+sMv28EykUkVynVmcJ11wIrgC3A0PZsHwYOCQ/qYPjoOefy72f+aXlOFzy6V8SMsdM+f+4UMkun0jl5geW9RnuqITs7m5r9jZbiVLcpmSTgBeWTmJtl7fFJxaZUp4DM1+r/urw++vzWW5XqnkZd+NgNqgWl5UxCsylVL2qiMg/mer8rg77e2A0IdA+C0Stna1PZRAI2AtVsU6pTceZ6sPus8ViPO5NXa5otRYJeR/c+s5cXu/piBp9IiEl5BYGW2BjWRB6skZhiBejqD/DSjoFFTkZvo25TvIEU4ISqWQTa6mLandmm4SqzHfq9X99Zy/5ebRGaeQOFpdXeGIGwu789yiunM3nqVGZ4Bt9PDGdd7a/dx7r2YmCgjnTbdG+w8TmysgfgzBOOpr/hg6gYYzPmnaZGiob6OupUseW5e86vjNhknv42IiJMnV7Jcbmx7c/IcNtk91Lf3am9HFlt3nHVZ91Rbc8YrmCurymTJtLeWGe7OcgY5TgRecvw86UkP5cPRGKElFJ+IBA+ntR1InIk8Cm0befHBI5AxVpAnHLaYnZs28Y/n4xODqx70/Q4JauB1LxLT8aEqUj3npjv0Aef0RSpm1v78BumjY1CwSzi4nlHCssraKuzXugyWhjrzZ2RwQtbYveuT8UzctaCuXQ02U+zDoXBCCNPhpdXd8QKVN0mXfjo7c+qvnKLSgh2taQ8vTXUaTorO5+qqcWT6bOMSVxa7Y3MRhgHU7P3FGDpMdXkBprHxJTdUzW19Pf2Ip4My2lwY3ymbpeVTWUTJzLJFbvLmx2pxDgORtz1drbjysyJEQiVC4JcPiM70vbsxIHO5MlTaG+w9+CPVt/n9/tpaGjEkz/BckW47g02xzJa2TXjsMPI7LQPMTGii7qREqyvbdiKJ7/U0ntqtMmIlU3TKytpOZC8TcOFVbtsbW2hMZATc7yj6iKWVVXEtD078vNyyfRmEEpjAvy3ewKRPjrRzwZ/AOAtpdRxhp+oqXYR+b6IBMw/aLPhWYbrvOFj5k6l1ea6NuCPwFeVUtaenjRwSE3xW2H2xOn4fD5u+ult3PD973HOsvNYVlURlZS+ecVDSX/HUdVTeXfrXtomXRp13DgdPlpk5uRQ29BBl822ccYYOaPQNovu0+bN4fFnX4g6lg57dPr9vYhXe+70NEz6VGRzElORADm5OfT7e4jdgXxkSCQa+vw9uDJ8EVsGY5M3K5uSDE0QDlak6lNxw+G562lvxT2xAAwaVbep6e/xPY16Fonikgl0t7WSSWy6t9Gmu62VYKCfvdtKySM65GBZVQXGSUw7EQdQUlJCd1vswsPhtClemIzxPEBr3X48xfMIvK+JSz123u5FwormVcuZNHk+bY0HON/GDuOmJsbfh5sd27dROGky4o4Os9KnjJt+fBMvdvXFrSOdKVOn0tFYT44hFy8kV1fmnerMx8zn4qGUYv/2LeR8bCm961+POre02mv5POn2mV+SJlVU8O6eeiiJ/g47m6zssDpnd40Rc7+y8p3NeMI7SRk3wykxiG67tme2q2LyFKqLmlnrT1yv4wGl1C3ALebjIvJFtPhSnWpgm4XYrLG6Dk0LLgD+LSKgxZS5ROSAUmri8FmQGo4HNQ6VM2bg8XjY9f77AFGr243TdvpDYbW/eam/laJJU+hvGng7TZfn56maWry+LEIWuTHBPn2NlV0TJ06ioymxQBoNQqEQfT3duDIHEtAbU+Aku295dnY2/b3Rz7Oxgx6taTv9u/p6uiOiG2JtSjRtDJpA7euJ9sKmKnqGc1q5rr4Zd270lKRuky647QZRnaLiYno62tC2e04vDXveh+LpoHXqEU+WHv+XjJADTXR3tY5OtgWrqVXzsZb9e2moH9hGW18QZPRgQazoNtfZkSW59DZbz0pYCbSR8ja+V1ND2bTDYo4b6ylZvN5McosnRBZ/DZZ4diZj/4H9tYRCQfa9PznquF5P5rZnJb71l75JFZNpb6gb1AtRMl7iVOqzftcOvOUzAKJSed1zfqVtv2f3YlExeTLtDQei7EqnI2UEeRJYJCKLwiv1bwEeTvY6pVSbUipDKeVTSvmAK4Dn0ylO4RATqKkG3IsIxx5/AuvWvhV13GphlC7irMRcVl4Boe62uDFLo4XL7YFgf8xx4xuunTAw4vP56OvpiTzs6XzoOzra8XgzEdeAV9gYJxyVIy8O/9myByTxIzEaQlUphb+rE1dm9FSX0aZkCPT5kSS3bh1pgsEAwc5m9u0cWCBljKc1Eq8NBoNBzSZDKpp0tb/m2j1kTIjd9EL3NJrbnZ1dPl8m/X7/qA2k8ab+/7HxA21Vd3Z0HmizmEvG21hSVEhHe3tMcnudeM/RcD5nu97fScmU6VHHOqouitRTPKzqLK+klGMK29La7z288nXKKmdHXo5gIAWTeayzqivjWFVYWEROSNuRSk83mL5n6oOYZ0q3yeqFz2yb0a6ysvJICq102jTSKKWagC8ADwJ7gHrgVgARuUREtie6bixyyE/xJyI3Lw+/f8DjWOpvJRU/R0NmISvW7CBjwrSY3X90RjO5fWdrE66c6EFJL4vR02gltHUaMgt56Ll/MHHm4ZbnU7XHbhBK9j4b3nmH8hmzWVrtjckkkCwNmYV8sOkdAhOtt7i1YiRX6zbt3U1mdg6urLyoZO96UnSj8Ikn5vbWbKS7pJoCi3OjvanCvppNlE2ZRsbxmewKryO1sykef3puFSWTp0dNr+oYbRrpaWMAf1cnR0wv5NVwmJ++VeayqqlgCOlLJOb27tlLYfmkEStnKvR2dpCZncOkY4Wm8P4iep+V6p7sSikty8EQXpLiidRk6zYUCuHyaO3FuPXnsqqKqHpKFhHBuPRmJIRPov7Fk+ElFAxo4T9cRF7NY1EhQHZebiv6+vy0BRJeNioopSLPtvF5SiWsTic7J5u+xqF5uscLSql/AjEru5VSD6IJ0rjXmT5zP3D/8JYwdQ4ZgTrYdCV9/j5yc3Mj9zCvck/G29hXdF9apgAAIABJREFUt5POwMyY4+nYdal53x4ySqZGxTSC9naaKIFNycIlFJ+8lAZg//YaKo86DmDQYjuRdyRZgfHWmjWcs+Q0lKEskRy1cYTPzMVlUTatX7ee/GM/HjlvvJddee3KGC9GKxl8+99j+vxjWTg3MyK6l1VVRLbStbPHzOZ31lO46OKY4+loe8GdGzjsmBOZX+0N75KEJuRMNpmfKaNdDZmF1O3aTvlhs2Oi/42Yp4217xp+mysyhc6s7IhIMO+uBMkJhL17PqDAIFCTFTzJeBhTtfukUh//ys1jabWX34bF3CXVmphLFCdsJt4K6uHwjib7kugSFyilvcSil98dVU+J0KfDQdsEQ9/uOV1eOW9WNn3dXSzTbVpw/qDaHoC/txd3xuimQbRDRDhzlpsVXm2MivcSm8i+7OwcJnnH1Sp+BwNjY+5vjKGLWaUUO3dsp7i4JMEnYtGFz1M1tahgP7hGa+lNfJpr93D8PG2qy7yPO2hiIJ73VMff3Ul2frRfbjjFaSps2byJefOPiny/3VamiV4mgp0tuAtKo44ZbYpn33Cv1t3w7rt84szTgOjMEanY9FRNLcGOZjyFA2FE6Zzi2rhhPZd8bEmkHHpZdJtOz/Ha2qM/TwDB/j4yMgdic80vEnbEi48bbN319PbgyfSxtNobtRtRqhhmaWPqyMornEpZU7VLs0nrr/SwpFS2kNVf/EBL1l9aVkZ7Q3q9WB909BAKDghKYwhQMpj7xJLJ0ziwY2tKZVi+pS/qZ6h4vF4CAS1cy2xTKjG1ABPKygadwWS47NFxGcS/XQhQslRVz+Wdt9eOt1RTDmEOGQ9qskmujdesXvUKTY0NLDpt8ZASZHd0VyA9H0RNCaXDgwXQeqCWo5YsZel0b0ynUrJwSdILijKzc+ntjJ++YziEWjJ/p+amRiaUJRbViRCXG0LDHyM8mFCAA/trmTxlKsdVGD5naIOn53iT82SpULT6IbHQtmKo7VUpRXNTI6Vl5fDBgB2phswA+HLzadq7a1Cee2NdJFrQkcw9+/x+Tqssp4loYWk1oBrFt1HEAZSVT6Rt5Ssxn7FbSDSSuN3uGO9gok1J4lE19whK22v56CnHpm2LSbfbQygYPYc9mLan88ULP8413/sexy69kAxvYueDlYAzbjFtR7y+IxQI4PYMeD2Ns0apctjMmXQ2HKC3swNfbp5tuY1lNZ8bbHiVGXG5UGFvNwzUk7ntJeMd/tC0UjIyMqjsrWN31uiv9wmSvDAOpXDtocKoeVBF5BUR+VD4/yIivxSRNhGpFZErDdfNEJFVItIjIm+ISLXh3OdFZK+ItIvI/4lISgI70a45xmNbNm3irl/9kqv/9xomBbWNGAb7FqeKj0FaN+Da8mvo3p/yQzxcnXpfTzftjXUUlmsd3lA6k6lzj2LN049GcueNhOBO5p7tbW2ElGLF3va4f6dkQjG85YfRsXY5agREaip0dXbS1tZGaQLRnYxNGWWVdG1+OeF1ibxsQ22DzU1NZGR4yc7OjvJ0D4YpVUeye8M6tr35quX5ZEJHkrEnqZXUB/azsX2gvaTiaTRyxJHzaG+s440nH4mIw1TKkQzJeon/tW4rmVna4jw9cwmQ9Murfq3eX3582fk88Mf7WPP6ayPSTyTTdrvaWvBmDWT5MNpk3FI3mWcKYMZhM6mYcwTL77yV3q6BjXqsvImJvIuJvKpW9j1VU0vj3t3kFBZH2TPYMcrrzeTj513A8rtupafTPutEorLGszWZtvfQaxsIBgJkZGYOuu3pNK9ajojwhS9ewS9uvYX2xlHPOvPout5m9vbH5rI2opRiZ18nm/3tAE+NSsnGCSMuUEXkLBG5GzjZcPgy4AxgLnAW8BMR0bdaehD4L1AOPAY8Er7PHOA3wCeBWcA84KvDWVZ9Veu/393KTdf/gG9/71qq5h4RdY15D3c79A56WVUFV31xCpf/7HZOXDiDvO03s+LXN1KzZbPl58zTjeYpvcFORz5VU8u2N1/FPfkInnvfNeQpmeoPL+a4pRfy3J23ML07NmH/aHlK3ln3NiXTZyEmL+Fg+PSXLqfY1YHrpd9w2qSutHm51619iwnTZ7J8e33U3zHZXb50llVVcMHlVxCqWUn5zqc5e471457KVPFgWfP6a5QcNifSblP92+rPU6m/lS+cehznfP0HvPHkI6x5+lE+NrM08Q1GgD88v5raA/WUHzYn5lwy/YSxLgsKC/n973/PgZ3v8dx9v+KsyuKo3MvDjV0f8vj6XWx6+TlmHntS1PFUhI/Z7sWHT+PGn9zCnb/8BStfeH7whU6AXYx4W/1+arduYvq8Y4DEYs5KpO5YWR/VBkWEX/7kRspnzOaZ39xMsL8/qk8d7FR+MkL1qZpaejraWL9iOUee+pHI+cG8GBltuvSKL3HGqYt48vbrw9sRD45EdtuNXf/Y+AFvPPkIVQsXk5Hpixy3qqd43lO9rnSWHT+PT372Yl657xf09/mTNWPIKKVebwn1l270t7Ciaz87+9oiG3boPzv6Wnmuez87+ttpCfXlK6U2jloBxwGj4UE9GS2UwLgf7OeA25RS+5RSG9BE6KdEZBpastiblFLtwC+AShGpAj4DPK6UWq2UqgfuAD6damHipVdpaW7mx9f/kN/95ldce90NHHfCibb3SWZ6tWn1Ckr9rSyrquDCeZX86FtX8bfHH+f8iz7JdT/8IU9u3juk+LdkB/nenh5e+8dDrP7n4+Qfu9Rym8lk0TuzZVUVfPcLn2bRF67iph/dyP0vvTmsMZjJ2Hb7g3/jV3f8kp6Zp/Pbh4OWnWIyIkG36aKjD+PsK79L6bQZPP7Ta2NsGg3R/fM//51f/vKX9M4+M8oe4+BjZ5PV8fwJZSz79g3U79rBkz+/gWAwMGibBivYH37wAe677z6OOuMcyzpK1TtS6m/l0tNP4Pf33EtmRyM3fP8alFJR9pjj/YYzRg60tvfEr24l+6TP8O+t2tRxKl4sY13p7a+goJDf33Un00sK+MEtt41KezPW6X3PreKxW6+hJZTLttxjI8f1tpfq9L7Ri7po5mR+/LPb+MM9d+Pvjt3xzaq+4v3YYf6bbX9rNU/+/AZOPP+zZGYPpGyLJ+YS9e16fZX3t3Prtd8ht6iE7Wtfi/uZVIln44Gd7/HYrdcy67iFlplUkq0n83VlfW1ccukXOfvMM1nz9KOpFdiCeHVl7kv219by+K3X0tfbw4KzlkWOG9uesV6SyS0MA8/iZR9dzMxZs/HuWBd1frj7BTNKqcamUL8r1+Vhvb+djtBAmElrsJ8N/g4muL3UBfyilErflldjlBGPQVVKXQcgImcYDs8HjC1lE5pH9ShgS3h/WJRSIRGpQfOYzgdeNH1mVjJl8KgApf7WhCv3fVk+jpg3n+/98Dq84bgi/QFJ1Xuls+22qwd2wAkv8li85Az2+UpjUq/Ee1jiLZxIxPLt2m4w5Z/+MXu2RidJNy4oSmRf0+oVEVv0v2fFnLmc+83rKCxLPUVOqoLHOKg0ZBYSCgbIX/odavdqCbh3rXNr+2IYypsqFxw5jQuO/CZ/OPoECgZh01AREfI/djXessoh3ad51XJKT14a9sLBR7/yvzTt3c2PLtTq76Yn/5vS/QYjTvU2Uuct4MJrb+Gl2pyY8/oAkuyshM5RV90IzOa0hY+ye/duKisrObp6wJO5fMvgPHXXn3dqzLF3a7bFHMufUEbphdeSUVQR/r4+llURiQG0skffoc1sk/GZqjjqeB780x9pbW1lwoSBfLGp1lciu6xs8uXmc9KFn2ej+4gom4x9Q7Ir+HesrOey2uhFRMuOglM+dAJFRUVRxwdjm1U9Wd2rsLyCZd++MRLWBNHZWJJpd3q97VhZz6kP3Rh1rgJ46enH8XoH6vXEW63bntExYJUP+41rz7T8nNmm/JIyzrjs60yaVQWk1ofr6Dad+lB03HMF8POf3UpPTw+5ublcf97AOTu77LCzx4jeDl9r6ueEZZ9m+rxjYmbD7Gyy2mb3xa4+/tL2vuX1D97/JzyeaMljtG+kUNoKLRGRme/3d28vdGUQRNEVCtClglO2+DsGkejs0EBGa3WbiOwCPq2Uel1E+oEZSqm94XMXoyWPfQC4VCl1huFzzwN/Ai4FHlBK/SV8fDLwvlLKMmhIRL4EfCn865HAweY6nwA0JrxqfOHYND5wbBofODaNDw5Gm+DgtOtwpVRe4susCa+b+S7QBdylxsJ2eGOYdK3ibwWyDL9nAy0Wx+Od049bopS6B7gHQETeUkodN/Rijx0cm8YHjk3jA8em8YFj0/jhYLRLRN5KfJU9SqkAY3jnprFGuvKg1qB5NXXmAu8CW4FqEW2/yfC/hwPr43zGwcHBwcHBwcHhICJdAvUh4DsiUiwiJwIXA39XSm0H3gOuFpEs4Dpgo1JqH/BX4DMiMldEKsLnHk5T+R0cHBwcHBwcHEaIdAnUe4F3gN1oqaS+qZTSo/YvAT4BNANL0GJTUUptAn4ArAA2oy2YeiDJ77tn2Eo+dnBsGh84No0PHJvGB45N44eD0a6D0aYxy6gtknJwcHBwcHBwcHBIhnR5UB0cHBwcHBwcHBwscQSqg4ODg4ODg4PDmOKgFqjhbVa3iUiXiPxNRAadvyxdiMgXRGSXiHSKyH9F5HDT+ZtF5Nl0lW+oiMgRIuIXkYkikiUiD4hIk4i0iMhfRCQn8V3Sj4j8UER6TT/9InKJiPwybFOTiPx5PLVDEflKuP21icg9IuINH/+c4fgTIhJ/F4wxgIi8IiIfCv8/W0TuF5F2ETkgIr8WkYzwuRkiskpEekTkDRGpjn/n9GG0yXTcsl8QjZdF5JrRKWHqmG2ya2sicryIrBGRbhHZKSJfTF+pE2NqfwUi8qiItIbL/knDdceJyNpw+9siIuekr9TWxBuXROQwEdliut4X7tvbRWSviHxj9Esdn1TH2vAi73+F9cUmETk59q4OQ+GgFagiUoS2hep3gSmAAD9Oa6FSRERmA78FvgyUAs+iZTPQzy8Avp2e0g0dEXGjLZjTN1v4OjAJmAHMDP9/XNinlPqJUsqn/wCL0FKj5QHLgIXAYeHfb0pfSZNHRBYCPwSWopV9DvA9ETka+CXa9sNT0Orvf9NVzkSEX1TvRtt2WecaoAotXd3RwAnAV8LnHgT+C5SjLeJ8ZPRKmxw2Nunn4vULXwU+PJJlGyxWNiVoaw8C9wH54fN3isj0US10EtjU1e1AEM2mS4B7w8JO0Nrc42iJ7r8G/FlERn9bOxvsxqWw6L4M+DvaeGvkZqAYrW//GHCTWQCmk0GOtb8G6oHJwE+Ax/QXeIfh4aAVqMC5wNtKqSeVUi3AT4FPp7lMqXI6sFIp9W+lVA/wc+Co8JtbBpq4G8+rCq8GXjf8HkDr2PQ9Ad1o2RzGFaLtFvIAcBXaoPQ7pdRWpVQbcBdadorxwHnAw0qpTUqpJrQO+ZPAZcDdSqnXwvtHX4omFsYqJ6NtStJpOHYmcLtSaq9S6gDwB2CJiEwDFgA3KaXagV8AlSJSNdqFToCVTcTrF0SkErgSeGLkizcorGyK19YCDPQVLqAP6B6lsqaClV3nAbcopTqVUquAl4Dz0V4Ci4CfKqW6lFIvoG3rfdLoFjkuluMSmlNhIXDAeLFo+cwvA76hlGpSSq1H+5s0jG6x45LSWCsimcBFwA+VUq1KqUfQ7Dk9DWU/aDmYBep8YJ3h941AuYjkpqk8g+FJtDdonWPROuB24Fq0lFtvp6FcQ0ZE5qANNtcZDv8W7e21GWgK//++0S/dkLkS2K2UehnNvvsN544DatNRqEHgBfyG3wXNA3Is4BKRt0WkEfgZsCcN5UsKpdR1SqnL0dqUzuXAc4bf9Xo5CtiilPKHPxtC84TPGqXiJoWNTRC/X7gPbUap0+Jc2rGxKV5b+wrwG6AfWA38Qik1lkQPYGuX3bO1BzhZ3wJTRPLRROtY6jPsxqX1YTtvN10/E+1F4pPh6f2dwAKl1FhyPqQ61s4BOvXt2sNsYoz1E+Odg1mg5gNt+i/hAScQPj4uUErVKaV2AYjIhcA/GZia/BRwY9oKNwTCb9R/QHuj7jKc+gHa4DkJbeqrnfEXluFCmwq6HkAptV0p1SQiGSJyHVpnd0M6y5gCLwCfEpFKEZmAFoLhRpt6vAjNmzoHmMY4CVvQCXuFO0QkR0TuBC5AEz9R/UaYDsZBvyEiR2LTL4jIl4A6pdS/RrtcQ8SyrRlmKb6Ptu31WcD3RWReugqaIi8A3xAt7n4RcAbgVkp1K6U2AIjIfOBl4L9Kqdfj3GtUsRuXwtt4WjEBLbRpMlodfg64Kxy+MSYYxFg7bvuJ8cTBLFBbgSz9l3BsiAdoSVuJBoGITBCRp9CmV78I/A74I/DV8FTEeOQqYIdS6nnT8fPQprYOhHcPuxVt4BlPnAPUK6Xe1A+EO+J30GI5T1JKvZGuwqWCUuoZNBHwKvAm2oxEffj078PiuxktRnDcTW2JyOnAFrT42mOUUu9j6jfCZDPG+43wi5FlvyAik4HvAd9MR9mGAau2dhSQp5S6XSnVo5R6Dvg3WujGeOBrQCWaZ/SnaDGP9aCFCInIzcAqtDjIMReaZh6XlFJ3JfGx68MCfDXwH+DUES1kiqQ41o7LfmK84Ul3AUaQGrQ4VJ1qYNt4EnWirWBfhTZ9VaWU6hSRArQYuX9r8fS40abADiilJqavtClxGnCOiBg73l1oUyRG+oEuxheXoi0SACDs0fkv2mKju9Q42hlDRA4DnlBK/Tj8+2Vo3u0iIMNwqQsYN88VaAtX0Ab/K5VSjxpObQWqRcSllAqFhd/hwPp0lDMF8rDpF4AvAVOBPeFzGUBIRI5RSn3S5n5jhV1Yt7Vu0LISGJ6p8dRfzAI+H14fgYi8DLwWPnd/+PxR4ZemMYXVuJTgI7vC/47ZPiPVsRYtbKFIRIoNoQpz0cLUHIaJg9mD+iSwSEQWhVf03wI8nOYypcrFwH6l1GV6J6CUalNKZRhWi18BPD+OxClKqQuVUpkGG0DzJjyBtkp8koiUAt9BW806LgivwD0FLV5J51rgDqXUneNJnIY5Fvi7iJSHV9xeg7ZY4K/AV0SkSkSK0Ra7PRrnPmORG4BvmcQpSqntwHvA1SKShRZDvDHs0R+zxOsXlFJPK6W8hnN/Bq4bB+IU7NvaNrSYzu+Ep8lPRlt8OF5CGK4BrhEt3dkXgApgRXg1+VLg7LEoTsPEjEvxUErtRwtVuFVEcsPZQU4BnhnhcqZCSmNtODTtaeDGcPv7ItpL4riYHRsvHLQCVWmrjr+AtuJzD9r0ya1pLVTqzAdOFZGA6WfMpVIZJn6G9oCvQ1vU9i7adMt44Ui0aR+jt20+cJ2p/ranp3gp8zia2N6MNsDcpZRagebh+T/DuTfRshOMJ+YD95nqRX+xuAT4BNpivSVo/YhDergfi7YWjnc8Dy0EqB5thfXnlVJjdrGeiW+hrWRvRJvuv0Ap1Y8WulAINJra5iVpLKuZwYxLnwJKgH1odfUZpdRYWvg1GJu+gRaj2oyWvu0ipVRwNAp7qCDjz6nj4ODg4ODg4OBwMHPQelAdHBwcHBwcHBzGJ45AdXBwcHBwcHBwGFM4AtXBwcHBwcHBwWFM4QhUBwcHBwcHBweHMYUjUB0cHBwcHBwcHMYUjkB1cHBwcHBwcHAYUzgC1cHBwcHBwcHBYUzhCFQHBwcHBwcHB4cxhSNQHRwcHBwcHBwcxhSOQHVwcHBwcHBwcBhTHHICVUS+ISKfsjl3hYh8bgS/u1JEeg3/VyKy3OK6f4TPVYrIdBF5QkSawj9Pi0iV6XplsYdwQEQ+bLjmKhG5xq48hvtMHH7LHRwcHBwcHByS55ASqCKSD1wCPGZzyYPAN0UkK4l7/VREQmaxmCIBYKGIFBjumw0sCp8D+DuwFpgKzALWAM+JiMd0rylKKY/p51XD+XOBfw6hrA4ODg4ODg4Oo8IhJVCBK4AnlVJBETlHRGpEpF1EHhORbKWUH1gJXBbvJmEBewnwJ+DrCa69QkTqRKQJ+LLpdBB4ETjHcOxjwCvhc9nA8cCdSqlupVSLUuonwGtAebJGi0geMFUptcmuPCKyMfzfvSJSbjh+vckrq0TkC+FzZ4nIBhFpE5FnRGSq4XOW50TkNBHZLCK/FZEuEXlDRM4NX9sgIt9N1i4HBwcHBweHg5NDTaBeCLwoIpXAA8DFQAVQDHwrfM2LwLIE9/kcmpC9AfisiBRZXSQis4Dbw987E5hrcdnj4fPGMj4e/n83sAl4XEQ+IyKTAZRSn1JK7UtQRiNnA/+JVx6l1JHh/05RStUZjt+ke2SBbwAfAE+JyHTgr+FjU4F3gUfCdtueC1MNbGFAZN+F9jc/BbjZ6FF2cHBwcHBwOPQQpVS6yzAqiIgL8AOlwJXA4UqpS8PnqtGE2fNhEbhVKZUb517rgS8rpV4Vkb8Bbyqlbre47gfADKXU5eHfjwdeUUr5wiK5BigDdgNT0Kb196GJxzqgCugFrkYTmUcAO4BfKqXuNnyPCttmZKtS6qjw+QfRvL0L7cpjuM8kpdQBC1uORPPcnh22+xpgrlLqkvD5DKA1XPb/iXOuCngCKFZKKRG5B+hUSl0dvrYRWKiUes/u7+/g4ODg4OBwcHMoeVBL0OxtA6YBO/UTSqktSqnnw782AznheNUYROR07SOR+M7fAF8VEbfF5VPQPI46teYLlFLtwCrgo8BH0MRum/51QL1S6n+VUvOBIuBHwM9E5DTTrSqVUj7Djy5O3cBJaGEDCctjY7MPzQN6u8Hu6cB2gx39aH/bsgTnCNukvxmFgHbTVx5K7dLBwcHBwcHBxKEkBPRFRQI0YYjhFJGTDKv3Q6Z/zXwd+K3+i1JqFdAInG9xbR2aGNaZZnENDEzzXwj8w3D8LLRFUfp3tSulHgKeA46yuZeZD6OJ3kAK5THzCzThfrPhWAOa4AUgPC0/AU0AxzsHcGi47R0cHBwcHBwGxaEkUBvQpsuL0ETgJ0VknoiUAHcAvvB1xUCPUqrTfAMRmYEWJ/mQ6dSdwDctvvNx4MKwAC4EfmBTtqfRvKdLgacMx1cDE0XkGhEpFZFcETkbWBw+lwznhu+fTHmCaEIygoh8HPg08DmlVNBk2ydEZKGI5AI3Av9SSrUmOOfg4ODg4ODgEJdDRqCGPYhrgHlKqXXA94HlwHvA68Afw5fqsZZWfBXIAbaKyF79B7gV+LCIHGf6zg3At9HSWm0F/mNTtma0VFKblVL1hlPtaF7URWjxqvuAa4H/UUq9abrNXos8qOeixa7+O8nyPA2sFZFSw7FvoYn69w33vV4p9S6aN/nPaOK/GvhK+Htszzk4ODg4ODg4JOKQWSQFICLfAQqUUtfFueZW+P/svXe8HFd5Pv6cKdt3b9Gt6parXMCSrdhg2UHYxkAg9FBML4YEEkqAhHQgCQTSvuQXMKYlQAgEQwzGBkIRNgbL3UYytiVbVrkqt9+7fXfK+f0xO/fOzp4zc87u7JVk9vFnP9bdmZ2dszNz5pnnfd/nxQSl9N956/TQQw899NBDDz300D38phHUfjj2UNsaiqp/uQ5HZb2MUlpe6f3roYceeuihhx566OE3KMQPAI0cyM/Cyalk4VoA1/fIaQ899NBDDz300MOJwwklqISQdxFCjjW6OX2PEDJOHPxzowPRUULIOzzrn0YIuYMQUml0INos+52U0usppV/lLPsPSulnOxlTDz300EMPPfTQQw+d4YQR1Ibx+4cBvBhON6cCgE/AaTN6FZwuR9cA+FtCyJbGx74M4DY4FlE3ork7UQ899NBDDz300EMPTwGcsBxUQsgfALiEUur2dX8BgI/AMXT/gqtyEkL+DUAJwKcB/BrAKkpprdEZag7ApZTSR0/EGHrooYceeuihhx56iB4nMsT/OQBvA4CGF+m1cLw9nwbgAc96DwM4A44x/SOU0hoAUEptONZLZ6zgPvfQQw899NBDDz20BULIiwghV53o/TgVoIWv0h002l+CEPI2ADfAMdG/GsDb4aioLgoAco3Xom8z7rIWEEKuA3AdACRTqYs2bdoktF8qtbD3iSexYeNp0DRW99JlHHjyANaOjyIejzW9f2xyCnECZBQbZqmCasV5P5EE4sPDyGspAEC1VES1VML6dUtNl5CvGdzvy8X1pX10YTE7rC7DNC0cOPAkzjhDjMeXy2XMzsxg47o1S+8dnjiKvmQc6WQcVrkIs+QMSEsnERsag0VU5n5PTxzCunXrEIvFWpbJjIGFudlZWLaN4eHhwPWsWhWHjhzFGadtaFk2NTMLYhro08AdU6HmNBTLxhXMHT+GdK4P8VSqZVvusWkX1WoVk8ePY8PGjUvv+X9T73fMzMyAABhZNdC0zuHDE0irQMIwUK0455w7pvm6M5ZCzYZt1mEszGBozVrw0OmYAKBUKmF+bh5r1/G/x3suTBw9jlw2g3TjlKgbJo7OLmDj2BD33AOafyvNNDA7O4t169cF/oZh+8I7L6enpqFqKgYHB7mfdTE7Nw/LsjEyvGp5u+Ui9h+bxrrhQSj1StOY1FQGSPe1jAkAJg8dwMia9SBqq67AG5e7T2HX2PTUFFRNaxkTa2wLi3lUKlWMj420rHfgwEEM9WURs+rLn01loKYyzGO1kC/CKBWQGBxt2VY23jxO/xhZv7cXs3MLMC0To8NO7xHWb+Buo1AoYrFQwNrV4y3r1OsGDh2ewGnjw7DKy/1b1FSm6f/e7XvHmJ+bhaZpSOX6AscTNq5yuYLp2Tls8MzNYXjy4GGMj44gkYgvvWfbFHuf2I8z14y2jIc1Fv94AKBWLqFcKGBgdKxlLGHHxb/t/U88gXXrN0DXw+nI7OwsqG1jqDHvN80dhyeQTsaRhrU0Hu/Y/N/tjmkkt7xeGO67774ZSmnwTYcDQkgukRpbTCRHQal4x41xAAAgAElEQVSFdHYdysWJFKW00s72fhNwwgiqC0rp5wghX4Wjpt4EoAgg6VklBWAewILvfe8y1nZvgEN8cf4FF9D/+fZ3WKu1YNDI43eufSP+8VOfxujYWOC6b33j6/CJP/sAzjhtY9P7f/WJf8Z5Awlcqixg7p7deGQ3AQBsvoBi09vfiR8POSm1Bx7Zgzu+eyO+8Nnluqyd+49xv2/HpvGlfXQxpzP5+RL27X0M//gPH8dnv/ClwPVc/Prhh/GZ/+//4b8+9Y9L773lvR/EGy67EE8/fT0W7r8dc/fsdvZj2wXY8JY/w5yeY+731//57/Da33sFLr/it1uWyYyBhc9d/2lkszm86trXBq5XObQX7/jgn+Hmr3yxZdmnPv8l6PkZPL/P4I5p50HH0GHHhhSu/9C78fI/+iCGxltvEO6xaRf33nM3vvn1/8Y//NO/NL3v/V293/GV//gSbGrjva99RdP673nv+3BpH3D28WN4ZDfB5gvo0pi+dbi0NJ7FA4+icOd38Lo//XDgfnU6rl2//AVu/u5N+LuPf5K7jvdceN9ffxQvuPpKXJR2yPSByRn8zVe+jf94/3XC5x7dvwd3/uIO/Plff7hlWdh4RM7Lz13/aeT6+vDKV1/L/ayLG77yNViWhd9/4+uW3lt84A685mOfxj9e92qkDu5mjglonQs+8fZr8d5//Sx0xgMfb1zuPoVdY5/6l3/Cho2n4UUveWngdgDgmzffgn1PPIk/e8+7WtZ73Vuvwzt+59lYO7d/6b3+rVegb8t25rhuufdxPPq1f8HWd7eeHzs2ND8I+sfI+r29+OqN/4upmRm87x1vA8D+Ddxt3Prjn+IX99yHv/vQB1rW2X/wEN7/Z3+BLzXOQe+4AKBvy/aW7XvH+IOvfB5Dq9fi4iufGziesHHd/cBD+MLXvo7PfvJjS+/N6bnA3+FVb38XPvyB9+LsM05feq9SqeLKl70S3/roB1rGwxqLfzwA8Nh9d2P3L3+Gl//hB6WPi3/br3nFy/Cv//5pjIy0PqT48YUbrkcqncarr31dy3f9yZ98EBefeRqec9EFWLj/9qXjAwQfo3dec1no97oghBwUXtmDVSMXU03PIJ5YhWRqDJRSVEpHoOnZ8tDoJZiZvIu0s92nOk5kkdSfE0JeCwCNJ4jPwGkzOgGnm5OLcwE8BKfz0eZG7ika/z8bwK+i3rd4PI5qrRq6HqUUhLSeV4ZhQFfDVcFUNodyIR9ISl3ITmaDRh6DRh6VYwewZngwdNJwEYvFUK/Xm96rVCpIxltvimHYvO0ZuPXm74av2AaKxSIy2WzoeoqiwLZt5jJKKRTf8fNOai6ZAwBq21icnUH/UFsPz6Eo5PPI5sSJOlEIqN2aP25zzkk/rGoZCYYS7IfIuRkE27ahKOIKuWVZ0LTl5+Z2Zu35+Tn0c5TATscDAIQozN+eBcMwoOutShkhBDLZ/5RSmKbZ9NuEQeSad+eJWq2GeDweuj7gRGV40SXWNRWE5NAYzGoZ9UL0XZAVhcAWPE7Veh1xBvEHgLphQBOYz3mwLQtKB593QakNwrgigh4+eOcMaztS+wKK9q5OxrYk6mAqlQqSSb9O5UAlCuyTzNedEKJncqfRYn4/BlY9DcnUmPs+Upm16B88D/mFx5DrP5O63KaHZZzIH2QawJ8SQjYRQhIA3g9gN4B/B/B+QsggIeQSOLmp36SUPg6nLen7CCFJAH8JYA+l9EjUO5aIx1Gv1ULXoxRMMlA3DOicG4n7JLfzYBmpbA6lvD9roXN4b0xT07MYGRoS/iyLoJYqFSQFwr1eQgcA5116OfbvfwL7n3hc+PtFUSgUkMmEh2YIIdwJ0LJsLpnzE5nCwjyS6Qw0XZ6oi6BQKCDLINzug4n/AYWAwKbNxHvxgTscguDbRv/WK1puYma1jHgy3fmOh8CybaiK+DRjmhY0XwhbtpBzfm4eAwMD4Su2CaK0/vY8GKaJGIOgAnAmEEFYpglVVUEkfksv/GTVJaYuSLWEQdXiru+FYRrQNPaYbJt/TbFAiILsujNQOLxP+DMy2xY9TrVaHQnOQ7hhGNBD0r2CYNsW1EgIqkO6ZeA8TDTfi6jUo1HAzkgc5zCIEuZKpYIEh6ASsvxA4hUaThQIIZv0WF+dEBUDQ1ugaq37relpDA5vhW0biMUHLEJIZyGrpxhOJEH9IoAfwSmMmgRwBYCXwSmeehDAQThWUu+hlLqz1+sBvAJO9f6VAN7QjR1LxGKoVcMJKngKat1ATGBCS2WyqFXKqFfD1dogeG8m/hvL8elpjA13RlArlQpSDXXFDUfy4CWpmq7jJS99Ob75ja8Lf78oSgIK6qCRD1RRKLWF1Z6FmSn0D7fm3EWFfH5RXkFlEJyoFVSgM9XRUVDFpxnLsqCpHgWVEBkeB8BRUAcG2ApqFFAkFNS6YbAVLBLMT/2/uWkY0HhEVxIs8lmt1xGLxZqIq/tv//pBCqpNAVWSROXWnYnC4egfYhXCjjKwEKQgG4YpFBHjwbYsqSgCdzu2DVnV0rTMFvWXUhqJ+NkOP2WpvTKEuVIuI5lkz1uKQk42BfVd6cw6ZHIbA+dkQhRk+85AIjkCAG9asb07BXDCCCql1KSUvpdSOkYp7aOUPo9S+jil1KKUvpNSmqWUrqOUfs3zmb2U0ksopUlK6RWU0rbyQcKQSIiF+G3KVgvqgk/ciqrinIsvxd0/uqWt/fSCdSMBgMnpGYxIENR4PM5UUFMMdUHkKfUFv/si3LXrTkxPTQnvgwjEFVS+imLbVFiR2PXoBPq6FN4HgMWFBfT3s1U/VnqHQhTEzdZz1Ek7Cf8+s1ZBPNV9BVU2vGlaZsdq0/z8PPq7qaCSVgWVpziahsks/iAgyD98j/B3mkYdaofqPW+OAIIVxJZ9CUg1kFVQASC7/szuKKgSSnctIMTvKMbRh/jlH/ya5yuR3H2WggpEEeKPFqLnTFCIXyGEm851gkCS2fVI5jYIvRKZNUBUeRNPEfRyHhiIx2KoCaqaTAXVbH1q5eGKF/8e7vm/zgkqD0ePH8ea8eBiLy90XW8iqJRS1Gp1xAPUm6CJNpPN4qqrr8H3vitWpCaKUqmEdDqcoDoKKi8H1WbOBt6Jf9c+Z41afg65gVWMtaPB4uIichIKKjipC5RSoRnOqlUQT7AnelkEhYN5edo8mKaF6v6H/VuR2p+F+Xn09/dLfUYGvPxfFuqGwQzxEyKnHBm1GrM4ykWnubW8XFnuuhyCKpuDCgDp1RtRnjoCqyZXzBxG0BTCzz/3w1FQeSH+DhVU2247NcOLdsRBw2w9VlGIjNS2wUuZbKfoVTSNp1wpNxFU73edhApqDx2iR1AZYKmILPDyGy3LEs67GxgZQ6Vc6tqTX6FYQk5AaXRhU9q076ZlQSFEOvfJiyt++1m45+5dbX+eBaNeFyrqsG3+DdNRUMWOk6JqsCy+fUoUxUQyBTAm48YDyBHCx+fDz/EwhBXiUCr+GwOOOtdKBuTOvVKxyMznjQpBhXd+lCsVpBiKj2yR1ML0JPqGupdiIkO6S5UK0pz0ENlxAYCqx5FdfyYWHg9OH5KFpqmB16wXlWoNKc4Dm2GaHeWgRgVd02Ca7PHwSGG1VmuymAIaqU0dzOdA44GpMf92OvfFY3HU6gIpdQAK+QKyWfZYO1WFezj50COoDLDyMFkgIKCMG5VNbeE8LEIINE2DYfD9TztBuVJBKuVMvCJVvW4xhgvbtqEwfBdlcM655+LIkSNYWGA6grUFJ+zGJ3TuWJ3JmJcvJ6Y2AoAaS6Be7Z5dnWwhkFEXV7xYIIoCnFzhMABuzmbz8ZLNdSuVikhnuklQVVi2GPEplkrIpFtTKQghyGy+WPg75yaPYXBUrn7CT1qClC1N1WAKkrliqYxMmk9QRSvnvRg8ZyvmHnsgfEUJqKrKJXR+eOdJPwzThCqRQ+onbLIpDzzouoa6xH3Ctu1G6kbc9768yu1HvVZFLJ7oaBsuEskEqhUx15zpqckm72vePc1rn9XDqYseQWUgIUpQFbZaYAdUh7Og6WLf1w7KlQrSnJwdFizLguohfrYlZhPkr+D3QtM0PP3CLbj/vvuE9yMMokUjgXmmEpWoajyJWhcJKiB3IzOMOr86PAS79hEQRQUVzM9bSfgVVFniTilFsVhEmkEKo4IqoaAWy2VkGGojgdzY5iaPYVUIQe1EyVJVRYKgskk30MgDbOO8Gjx7C+b3PRTpOalpGkzTFFq3Uq0ylW7APSc7uFUStpAhC13Xl4QMkTB6reYUvvkjGO3kCfth1KqIBaQIyYT54/EEagI1H3Nzs0gkEkiHRAR75PSpgx5BZcBRUMNDDrwcJ9u2oXjyc+6yS4HbUXVd6PtkQSlFucxPKmfBspotUYJsgngTAYusXnTxNtx/L7soRNSj1QvTNIUUxKDJmEJcSVDjJ5mCyskZFN2K4+UpRkgANvlp57iFwR9OpRAj7u45Z9brUFWV2b0sKqiqeOi4VCojzVAbZQnC3OQxDEgqqDLQtOAUFi8CCSrHXSIMsewAtEQK1bnoiik1VRUm3eVKBckEWxE0DXZNgSgRCjrSMg8VMV2XUlAr1WqLegrIRfh4qFcr0goqj7QmEglUBWo+jkxMYPVafke6Hp566BFUBuLxGKoiNlO8HFRbbAJwb6qarzApKtQaN2teQQMLfoJq21bLE/gju8lSdyxRXHTxxbjvnnvaunmxIFrU4UzG7NPctsVD/Eos0bEdWCgkSItSK3EVVJGtEEWJRNVxERVZrZVLTWRAtOjLRbUsVjzXCRRVgW0t/3ZBYy+VK8xwuOMEIKGgHj+GwbH2CapLDngkQVNVYbWxWCojywnxK4TAaiPEDwCpsfUoHT/U1mdZkFFQy5UABZVh1SSFAC9mGXgVVBFUazUkEwyCKhnhY6FerSLGIfQuRFXUeCIhVJR89MgRrAlozdzDUw8nvNXpyYhUIoE5AbWMpxbIej92K8RfqVS5eVU8yCioMlizdh1UVcWhQwexYcPGjrZl23bLfvJAbcqtoHUKisTG1m0FVba0tl5nV4cLQ1FAje6H+GVvzKZltRZJSdxMa5WykP1YJ1AUFbZEDiqroIiEGaF6YJkm8nOzGBgObwXZLjQJVThYQVXaJmPpsQ0oHTuIofN+q63P+6FpywpqGFlyitnYhMswzJbmETJwyGDnBLUdBZWlCtuShYssiBBUUQgrqEcmsHpNa5tpHvztTk8E1NHLoA2eJ7bu8TuBiZ92eY9OLfQUVAZSqRQqZX5O5TLYKohlixvAA46CanSBoJYqZa4qwEOrgmpH0gWFEIKLtm3DffeIez/yYDbUUyFD+oBjIVPxrsaTqFW6nIMqsa5hGNBjrQTVzIsVohFFBVYoB1VqXIxOUnIKahnpTHf9XUWr+C3LQq1eZ5IEAggrqAszU8gODDblhotCVMVSJcLhTpEU+zeWVYa9SI+tR3kyOgVVVeSKpHipUCK2gbzfeefBMibLFn49XQvM0xdBGEH17wOfoMrdn/zYebCMeq0KXSDEL3L+yYT4ewrqbxZ6BJWBdDKJsgBB5Smo1Jaz8ehWiL9cZlvcBMH0VfFbVmuIv11cdPE23HXnLzsOBxsh+afe7dMANVvU1H7XPtL9Kn7J9Xn+mv7TkZeKQSIq3IgahmU156BKkp1apRxaRNEpvAQ16Fx2LaZY559Mh6z5yePSFfxeiJAE0bxaSmlDQeWH+Nup4gccglo6Fl3vFU3TYFqCRVKVKldBNTu2mVq+T3RCUjVdg2mYwg8dXIIaQYj/2HxR2Ec5bH/9BHXn/mNNLxdHjxzB6t9wgkoIuYYQso8QUiKE/A8hpMWuJGydRnv5R1Zur9tHj6AykEolURFQywinlZ6sgqp2KcRfrlSlKvgBV0FdVmos24baoc2Ui0ue8Uw8uX8/9h/sTCUxjdZe4DyiEBTOYimovMKHlSiSkrlp1ANycAn4xHRpHUWVKpISQacPHpRSmJbVnIMK8YKinQfLK5KDKkrmiqVyoF+o6GPJ3ORRDI6KNdtot5Jf1DO0WqtBU1XuuddukRQAxHKDoLaFenEBQCuZkx2brkkoqNVKoA+qN80pqN2zdx/d/Q871v5x8QidfIi/ximS4heHLj5wh9C27XoNuof8hh2bIJIqUsVPKcXRIxNYwwnxi+73qQxCyACA/wbwAQBr4Uz1HxVdhxDSRwh5M4Bv4hTpWNUjqAykkgkhBZXXRlM6B1XrkoLq67oBhJOIlhC/JTeWIMTjcbzoJS/FV775banP+ffZME1onvaRQWMK6k0vU4CjaDFYlgVLsOiiLUjZTPG7+Qh9VcRFUlFg/r6fgxDSnPPcOEZcxwjfjXFFclBVRYyglgP8QiEe4i8szCM72L0uZoC4Z2iQByrQKJJqM3WEENLIQ40mzO94u4Zfr5ZloV43uJ2k2M0jJOE51O2qqLIElWXSD7guM53xE6tejawTnYgP6vzcHGKxGDIhDTgqhx8X+s5OmwucIPwugPsppTdRSucBfBzAqyTWWQXgmQCOr9QOd4oeQWUglRTLQVU43VdkJwBN17qmoPLCVjw4faOXT4swsi3b1u6FL34JfvbLOzE7375pv6OgtpIzVq9xOyBFgadasggvIQRKLIFapbM8sqhgmCa3SKqw90DT3yxy9+SMetIR1LplQmN57koWSaVS3c1BVRUVtm2HPuwVCkV+rqaE0ug0z+huPasomZudn0d/Xx93uUIICnsdhTFIaeQhNbousjxUUdJdrlaRTMS584STg6q0769JlEj8XV0rMFEP3mqFE+KPwAfVqleXOkl1ing8gWpIdEokvC/TOvgUxdMAeLtZ7AEwSgjJiKxDKd1PKX0rgE92f1ejQY+gMhCP6TCMcMKoqhpMRpjUklQdjboh1LZTFpqmwpBU/OpGHTHdoyRE1AXFRS6Xw2nr1uHQkaNtb8M0l0P8ImFl3giC1FUW0mPrcfRJsSd0WSRgIVUvCq9frxuIMYqkhKHqoFb03cv8xyOs9aV3fdO0WnL9nM5E4jd3f7vDHZtaczc7VU90XReyL5qcmcHo8BB7IaUQjrJJNJRoF5l0CoVisF8zADy452Gcf85Z3OWEENgdEAWneK/tjzchkYijVgu3C5ybX8Bg/wB3uSlQJOVHk0pK+X3rZUAIQTwuNibAtZliCxSdnk7UsoQapYggnU6jVAo+944cmcCangdqDsCi+weltAbAbLwvs84pg5OCoBJCziOE1AghY42/P0gImWm8PuxZb5AQcmsj+fdhQsj2buyPFtDz2As9xg7N25LWTJViAbmc+PkjqlrmMlmhm44XRr2OmCfUpYR4+LWTd5jNZlAoiJMx//eYptXSDjMIvL2X9djcetFW7N/9IHMZiwjJQMZUHHA8bln5ZcJQY7AFHsK8aIfYEUWBLTguw7IQ8x1X53cRJ6haLCbc17tdiLZCnpqewcgQOzRPKcSjLBKWVO1ioL8P8wuLoevddd8DuPSirdzliqK0XcUPAEZpEXommntpMplARaA6fG5hAYP9fFXYNE2p+cYPSm2u1Z0sksmkUMU70DDqZ4T4owC1LaEOgyLI5nIoFgrc5Tv3H3MU1NXiFlMnC6qbkiifnxZ61dbHAeBiQsi9ntd1ns0tAFjKqyCExOBYhc5LrnPK4IQTVEKICuBzAGKNv68E8EcALgdwEYBrCSEvbqz+/wBMAVgD4G8B3Ng4AJFCtAhC12PMnCDLsqQ6dVRLReRy/AmyXWSzGRSKckSwXq8jFlue1EQtdWTQl81iMWBC8oJFgJ0bhljIM1AhlVRQT7/gQuzf85Dw+jKQMRUH3OPEPvWF6IEagyVJUGUxaOSdtqCChKVuWi15taqqwJI4/zQ9hrqgwtQudMFOc46COtz0nlvMIaPeR+WjGYTB/n7MLwYTVMM0cd+v9mDblqdz11EVgjaL+J3vKOWhp6MhqKlEEmWBYtf5+QUMDPTz98k0oXVAMKkdnQKeSCZRFbS7q9bYRVJRgNq2o3ZHgGw2i3whWOg4KumB6sJNyziFiqjupZRe7Hnd4Fn2KIDzPX9vBrCPUlqRXOeUwQknqADeB2CX5+/XArieUvoIpfQggM8AeBUhJA7g5QD+glK6QCn9bwDTAJ4d9Q5pqipUDBOLxWDUGQRVVkEtFZANSf5uB7lMBnlJpdJPfEhEXVC8yGYyyAsSVC9csmpZTk6eqHrL23/ZUY2s24BatYL5qWhzzAeNvGMqLlhxDAA1Tohf+D6oxWCb3SOo7rGRCdEbjGIUTRHvEQ845FE0BNouRBXUyWl+iF/U4gzgu4Xw0E5FdX9fuIK655FHsW7NOAYCc1D5DyQi12ukBDWZQLlSDZ2/ZkMV1NbUEylEqKAmEklUBPPgg0L8nYIyOgy2i2w2WEEFgCNHjrRFUJ9iuAnA5YSQyxvV+n8P4GttrNMRCCE/JIQcIoT8nBBye+P1c0JIm0nafJxQgkoIOQvAmwD8pedtf5LvwwDOAHAWgCKldIKxLDLM6Tlh/zydU1VpWVZL+O4umx1qt0wTRr3eFe/GbCaNQqkzgqoo7fsa8tCXy0oTZxeDRj4yBVXW2okQgk3nPQ37H/6V8GdE4RapiJLuulFHXGcrqJmzNjb9zeym0kaIXxTeMSiqeDGWwSAC0iH+FVBQnQdTsRA/l6AiPMS/nMdIul4AMtDfF6qg7rrvAVyydUvgOooibtTPqmY3innomWiiSW4zD8MInsvnFxYx2B+koBodddOjthWZ2phMilkgAo63q6yC2rdFLGuO2nZTMW0nyGazKOT5BNWxmOq1OaWUzgJ4A4AvAzgMJ5r8MULI6wkhjwetE/GuPA9AHsBVlNIrGq/LKaWRt+06YQSVOFnjXwDwbkqpl701JfkCKDTe87/vXRYpRD0BdV1HnaGgythMVcslxJOpjqoq5/QcUxVJJhIwTUuqf3O9XofepKCyrbQ6QS4rr+x6IUNQgQAFVTIHFQDWn30uDu+NzuPYJXMyCuqgkQ8M8QtB6x5B9cLpzS5DUJuPq6YqsCT8WlcmBzUuqKBOY3QoSEFln31+BZQopNsRfgwKENS77n8Ql4YRVELQbkYQpbShoEYXTUolEyiHVIg7RVIBBNVoVfZlHAqobQMRFEkBcjmoPJupSGDbLTmo7RYfZrNZFIt8glppiCxZiTqNpyoopTdTSk+jlGYopW+ilNYopV+mlJ4RtI5vGz+jlJ7TwT7YAH7Pv91u4EQqqO8E8ASl9Ee+95uSfAGk4CT4+t/3LmsBIeQ6N9F4bm5OasdU4RB/nK2gSoT4K6Uikpn2J+SggilCCLKZNPISeagsBVUmvCiCXCYjlIPKUxNTtTwSomduhAoqAKw7azMO73008rQH2RzUaq2OuGQVf5Ni1UUF1QtFwm/V30UKAFRFgRVw/vmL07RYDPVad8clEuI3DAOLhSIGObmNUjmoIJHYFAWhL5dDPl/gPpjnCwU8ceAgnn7+uYHb4eUci+QAWtUyFD0GRYuurCCVTKIS4rE5txCcg2packWZLYg0xJ8IVFC994OgHNROpy9qW1AiaIENOHm1pmlyr6mF6UmMrx4PvV66XEfYgweU0l+vxPecSIL6LACvJoRUCSHuDHIATsjem+R7LoCHGssGCCGDjGUtoJTe4CYaDw4OslbhQlPFyIIeCwjxCxZJVYoFJNvofMNTTf3IZTJSlfz1Wq2ZoHZFQc1KF295EVTFL+PL2g5BHRgZg22ZWJydXnqv3Qp+LwF3QtliBNVseCFyVeSAiXrXvsZ41RhsM3qbKT+IRJFd3TQR8930VFUyB1U/OXJQp2ZmMTQ40NT0wkvSWOceMxUD3ckD90NTVWTSaW5k496HduPp521GPES194f45+7ZLewfGmX+qYtUMrxQKqyK3zCMjoukOvUdBZy5zQnxd5aDGsW+BLWQlgUhBJlslpuHujA9hbHx1WLbClneabe7HlYW3XV/DgCl9GXevwkhFMBGABcC+DdCyP8AyAB4D4A3UUpLhJDvAvgbQsifAHgNgCyAu6LeN9EQf0zXW8Lntm2DBrSS86NaKiLZxc43mUxaytKppUiqDQV1xwZ+pxlAroqfBcNkG/WzQBAS4pecqwkhSypq/9CI3IcDIGptBji+ubFYjHmjER6PGoNtdD1C07Ad6iAHVVnOQRUJqzoKaper+HXHXm5Oz3FveFMzM9zwPgDhOWLnwTKIqgpbdXUCNw91gEHWHtzzMLY+7YLQbTgPtO19fzcIajKZQLlSAd/lFJhbWMSqgBC/rK2dH5TaQFQKajIlXMVfqYrloM7dsxuD28KPrQtXzY9KFQaAbCaLQrGAwVWttmyLM1MYG+vMxu9E4by1FENnil0QRwrN1eKnCgghf0Up/Ug3tn0yVPE3gVL6AzgJvrsB/BzAv1FKf9ZY/G4A5wCYA/AuAC+nlEY+c4t2INH1GGo+JcUN74s+pVaKxbYUVFHkMhnpEH/cazNFSNsKKk9ZbMcH1QuTkavIQ2CRlLOG9PevPfMcHN73qPTnvPATG2+IP+wpv2bUkQhQsigoNl8QMilq3beZAhoEVbDIiZ+Dajc9ZDyym3/MNF0sB5WVLyeqrogoqMenZzA6MsxdLvNwpKpq5FZvLAz092FuYYG57ME9v8aWkPA+IFck5YdRykfmgeoilUhiymSTS/d4z4eF+E1OhzNR2HJG/UHnYTKZDG0L6qJa7U4OqmMxFS11yOZyKOTZ416YmcLY+KlJUH9DcFW3NnzSEFRKKaGUHm/8+6OU0kFK6Qil9J8960xSSp9DKU1SSrdQStmu6R3CaSknEuKPMRXUoOpGfy5WpVREIoSgdmIC3w5BbSqSUpRIqvi9k25fNotFX9WmTOglyiKp9KbNwttxsf6sc5YKpTo16HchY9QfVCDl76TEhaqDmmbX25322eE2Py4M02R2klIUAktwGyybqaiOkQuRKkoezGwAACAASURBVH6/Sb//urcpFT5WiqLCFkz/cNFOwcoAx2qqUqniiYMHsfmsM0O3oQbYTIXBKC5CT0frB51KBudsGoaBUrmCXEAUy/Scl+20b43SqD8RMh4vZGym5Iq+rMgUYReZbCYwxD++WizE38NTCycNQT2ZoDby5sJUixjDZsrJPxV/2q4UCx0VSYUhnU6hVBLvH1+v+3NQW/PfQtW5ECTicVRDbvBBhNW0LOHWg1Ea9bsYWbcRxYU5lEPMpWXg9tkWAc8DVQaEKCCaBlPC4aEdKAoRrsJnFUkBTpjfLZQKUk+B6GymgnKZ3QfToPmBZdLvBaWN6nwBKJraokKzLJo6xQDHrH/PY4/hrE2nCYWLidK+4UA94gp+wFUc+YRufnER/X25wHxKwzShdWCpFHUVv7DNlGCIXxZRmvS7yGZzKHAq+RemOwvxi+ZA99A2utaHuUdQGSCECHWT0mOtOaiGYSKmi6t7tWoF8YTfnCA6ZNNyXqiGYUD39FhWSHMnH5lcJR6KpZJwiJ4FWzLEFKTgtVMvoCgKhtesx1q7PZLAIt+apob6Nbqo1+uIBfTBFiUIiqbD6HKYX7QrGwDUDRNxrXVcuqbCEFTxFcH0nDAEPSCJ9EQ/PjXN9UANApMYU9p1H1QAWDXQj5m5VlOUex54CFsuOJ/xiVaEuS4EoXTsIBKDo219lod0MhnY531hMY/+EPsih6CKEzL/wwO1TCgdzHfA8nkhUyRVq9URj/NSgfjHKKzQ1KpVoHI8mNtFNpdDYbH1mqO2jfzcLEbHxsI30qviP1G4tVsb7hFUDkR6ZbNanVqW1VS5K/RFEbXBY00sfblcSzg9CLZtN+2/k/8WbZrv9378E1x5+WVtf16TID0ivyyvejoIGV2F3qGK6UVMj6EuSBaDbjwyXTGJIm6i3y4S8biwolms1pBJtio+qXgMFcPC4LYLQtV70zA684cVRDqTQSkgdeb45BRWjy4X0fkN0FVFvMNWrVpFzPcQG1aI2A7GRoZxfGq66T1KKX78819gx2XPENqGpqgw2wjxLzy+G+XjhzC4+WLpzwYhk0kHHqdavR6qMpqmKWXU7z82RqkAPZXjLpdBKpVGuRxMUN37QN1oridwQQgBiS2fTzzRgZcmUpk6guRwtF2d+vr6kGfkoJaLBcQSCcQFlGCL2qH3bBmXlx7EQCmNuhHAEnoElYE5PedUKoYSVB11n+pl+QheGAghTQZu/ny5TvPn+vtyWGA8mfJg23ZT2FtRFVgCRS4ik+6gkYdt2/j2LT/Ay1/wfOZyEfA8Q1dq8tmxaRy1WhXxeHRtBOPxGGoe/86g36LGufEADiG3BRmq00KzywQ1FkOtKkZQC5UqMsnW3zSdiEM9g9//3QvLFGtg0Ol1lclkUAwgPkcnJzE+xlcDFQml0TZNaAGKeVQYHx3FseOTTe89fuAgarUazj/nbKFtqKr4uNw5o5afx+Pf+TzOeOnbm5S5KEh4NpPmho6Bhgl/yG9rmlZHIf4omw+k02mUAxRhL2p1gxlpYd3V/CQ1KIe5PDWBs87YKLQPoujr68MCo0CvMD+L7ICYTSTPGaMdAaKHkwMnzGbqZAelNNTnTWfYTFmWJdcWj5HjuWPTeNtdOfzoy2WxyKmOZMEp8vIoqI183NyFlyH/4C+Yn5HZ3727foa+bBbnnh1ecMGD04o2WlV3cNsFUoUCtWoN8TYqZHnEMx6PoyqoNNYCTPqdBx7BnZHwKG0XiUQC1ZpY1XGxXMVIf+tDRioRR7lWh8htyjQMxLqQd+fHsm9jqy1OoViEZdnoy/JJier77YNSZyi1I/GuDMPqsREcnWwmqD+67ee48vLtwt8vG+KntoV93/oMxrZdib6NbTe34SKXyWL/5EHu8lo9vOGFaTWH+B/ZTYTz8K16DZTaUGL8h1mZh6VUOh2YsuDiOE3AsixuFX8nKSO58nEMn9H6wNJRMW9fP/KLLII6J0xQbZuCRJsa2zG2jCVwhuCD1oOH46ekzZQLQshzAfwUwACAPwYwDceFSewGwEBPQWXAJYxhk7Ie6zzE71Tytk4WOzaNR1J93J/rw4IsQfWMmxDSuOk0ExneBM1SPbyk7MbvfR8vY6inMtA0Tap9azdQrVWRiFBBTcRaLct4qNVqLSEvt0rcUVCXEXQjXakQv6iCWqxWkWUoqJlEHEVBax2z0xawgnAUVLYyd2xyCuOjI4HzB+ua4sGxpOr+VD06NIT5hcWllCDDNPHdH/wIL7xG3EVGUxVYHFu6OT3X8iC7eOBR2PUa1lz+gtBttzMfOpZ2QQqqIaagBogOQZEbo+x4u7rnQqeqsBPiDyeohUIefbksxyu5s8YP0xOHMbJ2fdufZ6Gvrw+LjAK9/PwcztmwTmgbIiH+HroDQsjHAPwrHNHzegBnAnh2499to0dQGRDtMKTrOox6q80Uj6AyK5CbI/yRw1FQlyfosDA4q0OIE+bvXLGcnJ7BA7v34Jod/JCLSJhfkyyE6cbP6yio0Yb4hRVUgx26A8RyUFN7So11lcjzi/1IxOOoCSqoToi/VfGJ6Rrqgm1gTcNg5qtFbTXlGouzcHRyEqsDwvuAk4MaRFC9hTZRdSJywbvGdF3Hc551Bb7xnZsBAD+/8y6sHhvFmadtFN62pqpSCmp1dhLp1Ru7RsBzGb59EeAoqEEFh4CjoErVFXhglAqBzQdkz0snxB9eJJVfzCOTa7bsWuo+2OG5ND91HAOj0aai9fX1I88gqIX5OaziNLzwn8fUphA0xugherwBwBVw7j5XNv5+FYAXdrLRHkFlgNpiITWdYTNlSob4/TmoUaOtHFTf/stUYgfhtjt34YpLL0EqGexaEEZSdV0LbAvaRMK79ETt5KBGF0qOx+JNOag8DBp51AJ6bBMQ8RzUFQjxx+OOqb2IYlMhOlNB9XaTCoNphCuoUZDVdCYLujjDXLb/4GGsYVQdewulFI+CGuaMsVIhfgB406t/D9/4zs0olsq48Xvfx8tfKBftUBUFpgxBnZuMvHLfi2wmzVW6AUdBDTtfzA5spsyIrbNSqRRKAgpqPr+IXK5vaS5sESYk7znuNVMtl0Apjby5jFdBdaOHOzaNI2NWMDTEt2vzwg7ozuYvUuwhcsQAlAE8H8ADlNI8gCQ61Id6BJUB0Q5DMUYVf5CCygbpqoVMLpNBsVQSJphuJywvVEUVDkcGYde99+MZF2/teDuapsEUtGTqBkzThG3T0NCgDJwiKTEFtR7ggxobGFqaEkLz5FagSEpRlKXWoGEoFItIM1RpTVVaco55+cKmUUfR4o87KiU1m80y+9ZTSvH9n+wMdalQJRpg0AidPsKwYe0aXLJ1C/7ls5/H3v37cdXlcjd2J8TfOi4eQchUZ5EYbG0ZHJVLQS6kmK0eEI1wERbid8HKw/e2b/WPiXUush7OveQy1SiSCnvgKxQKyOXY5NR7KskWEC1MT6FvaDjyB6ZcXx/y+cWWB+aZ6WkMBfgJexFEUHvoOj4H4B4ANwD4PCHkfADfabzaRo+gMuAUSAkoqAwfVMeoX0ZBRVf921RVRSadFu4m5YT4ff3Q21BQ/ZOvYZq496HduGTrFqntsMDqurSS9iG1ahWJRFx6kg5ShhPxeEsOKm/9fLHA7XxDCBE+nYiyMi0044kEatXwMH++WEQ21UpQVVU8X9M0DGgcj8Yow/zpxoOfH7sfeRSmaWLLBecFfl4+B3Xlbrxvec0rcdP3f4gXPucq6YYQmqpKKajz011WUAM6FAHOw15oDqrF90ENU+aMUh56KjoFVdd1qKq69DDLK07NLy4iG+Dv2u4tZ3FmGv1DzQ8UUVxXmqYhkWj1rJ2ZmWYqqKy50baD2wf3LKa6B0rphwC8A8BLKaVfgcMtb2i81zY6JqiEkPMIIVd4XlcTQo53ut0TiU5C/DybqaMGmyASonTdhNufhxoEJ8TfPHbRHNQg1WPPI49i3ZpxDPR33spQ13WmzRQXbaRQBE261YgtpoBGdy2BED8AzC8sYqCf3TucQLwAgihK1xVUAEjEwyv5KaUoFEvIsBRUTojf3z4UAIx6fUUsmTKZDFNBven7P8SLn3dN6PwhTVAjbi0ZhNM3bsAf//7b8OqX/K70Z7VGFb+IIwa1bSxMTyIx4CM8jHmEdz2GkY5MOo1Sqcx9EKsbRngVv2lBbTPEH5aD2g5SPqspFknN5/NLCqofMnOEHwszjoIqApn21YAb5m+u5J+ZnsawsILaK5I6kaCU3kYpva3x719RSr9AKe2omrmjWY8Q8rcAbgfwdQDfaPz/VgBf7GS7JxoU4RX8gGPUz1JQZbqOgDjJ3d1EX048D9WmrUVSqtLaalEU7iR157334xkXXdTWNvzQVBWGIEHthvLUrsVUEOKxGGp1sRD/3MICBnkEVcJlihAFdx+JvmWmH6m4HlrJX6lWoesau9UpI8TPg2UYK0NQs1kUfGpPsVTGT+/4JV7wnCtDP6+EFEl5sdIKKgC85qUvxginOMUFixyqEkVShYV5JJJpXHXmQFv7KAJNVZFIxLneofV6PVBBdR/MpawDPXCr+KOEW8kfZO1XKOSRzbHFgEW9fUV3cWaqRUENggxJ7etvLpQqlUqwbRtpX7TIv033QdXuFUk95dCpD+qbAWwD0A/gvZTS1xFCPgggWnlpheE3q+eBqaDKhvg5NlNRor8vJ+yFalsMgqqqMG0LbuBU1jMUAHbd9wD+6G1vkvoMDzyj/pVCTcJiyp1Mw5Qev1F/EObmFzHA8AsFHEJui6ojiuI0pOgyRCr584UiN21BVRWpIilthWymCj4F9f9uux3bLnw6Vg2EEy6ZHFSsYJFUp9BUBabgOTU/dRz9I054f8eGFHYeLHelQ9bA4CBmZ2eQYfjSOgoq/3wxLQsa46FJFEapAC2dFco/FUU6nUKpVAZiywR05/5jTdvMLy5izRp+tydKKfq2bGdGIbzwb3dhZgobNi+3veWNQ1Y9BYDR0VFMHD6Mc89ztj8zM41VQ0PC535tYRbKUHNx4ok26d86vgoXCR5rc1/3HtSiBCHkhwA2AziIZfJCAFBKaaQ/eKdxoyyAwwD2AnBbvVwP4J0dbvfEQtB3UI+1ElTpIqkOPen8YLY7zWaFvVBZDQq0Dm2mFvJ5HDg8gaefu7ntbXihd8GoXxQ7No2jWq1KW0yFTdjxRg6qyLkwv7DADfHLhLiIogArEuKPoxqSg1ooFpHlEFQtpEjPa8lkGnVoWvcJajabRcGT100pxbe/9328+HnXCH1eKsRvr4wPajvwzzeahFH//NRxDI4sEwoeOe00x3Ht2nU4MjHBXFYP8UF1KvjZOo4I+fEWSYVBlNSJeKEW8nwF1fFBFfqqJuzYNM7MQY0KF269CPffd+/S3zPT7PxTHih6RVIrhOcByAO4ilJ6ReN1edTkFOicoN4Bh5BqAHRCyNVwzFmFTn9CyG2EkKrn9UXi4J8JIYuEkKOEkHd41j+NEHIHIaRCCLmLEBIN4/HBpsHJ1i5YIX55myl0W0CVspqybAuK72aoKOpSu9N2nkjvvv9BbH3a+W1Xvfuf8h2j/hOpoLYa5bMgoyJoqgpCiJAyPL+Y54b4QQARfpDaU0KxpoA2fFCj9gn1IpGIhzoUFIolLkEVKZLatc+5YM0VCvGnM5mmwsOHH9uLfKEQ6lLhFtWczEVSnSB3xnnMKn4W5iePY2Ck1Y6rHSx5fDKwdt06TEwcZi6rc9qBujDNThXUaIukACcH9a4n2ITbRb6QRy7Lj7K0A0ppIwfVIahRzxlbL7oYD9x379JD+r69e3Ha6ac3rRM0p9rh3clPeRBCriGE7COElAgh/0MIaTm5eOsEcSsZUCfs9nuUUrGctA7QKUF9HYBZNEL8AL4E4DMA3iX4+U0A+iilicbrzXDSBq4CcC6AawD8LSHELf3+MoDbAIwCuBHAf3e4/0zYjEp2Flghfkoh4lC1DNL9MGtfNovFgErWMKgBCmpYiAgA/vfWH+CqK6LzodM0NdAH1QtC+Ll+PLUybEyFQgGpdFro+2WQiMdQFbBjyhcKyGXZZE6RUeRX4NwDgFgsFlrFXyyXkU6x/XE1RTwH1TQMqCtAUFetGkKhWMT8gpMz96Pbfo4XPOcq4fQeTVVQN0yhBz7RlKOTAaqqgmQHQ71dASdc3D/cHTXOi5GRUUxPTTGXEeLk3fNgWiY0zVFQ+7degcFtF2DzBVRofNS2YZaLuPrccFN7mYfZdDqNWqU1d9ybk1osFJgpDQAAAvCc2IJSkaYmJxGLJ5BIRZ+GAQDjq1eDKAomjzs11nsfexSbN58r/Hkl2/eUVlAJIQNwOM8HAKyFwzQ+KrFOELeSAqX01+18ThYdEVRK6Qyl9IOU0gOU0h9QStdSSscppTeGfZYQkgBgMlj4awF8glJ6hFK6G86P/UpCyHoAWwB8pGEC+08ANhJCIm/g7Chk4WHCGKOTlGPJJH7TVyI2S2dNdKlUEhXBVpGxWAx1o5kkaZoGy7LaMjt+ZO8+HJw4gmueFZ36r6riRVt6SL4qaTxNyCjD01NTGBmJ3hqH1ZmMBdM0uWq0QhRQhJu/AwCI2iS3dktFDTsGQKO4UGOHUkVCkpee6axg1uvQVyAHNRaLYduWC/HLe+4DAOx9Yj/OP+csoc/2bdmOVDyOsmDOMaWtzTNONHhERlFb5zPetSXSZz3snHTnu0Ejz++QFdO5EZfR4WFMTrEbLgCAYZiI6br03LdjQwrb+utIZTJQOee1C9l8zUw2i2pIiL9cKiOVZhNJRVGbSLl7fNwx8oqv9uz+FbZceCGA4OPSTv6pi9GxMUxPOw8Thw8dwrr1yy1Vw7Zr2xR9Zz8d/VuvWHoBbCswd/9v+dL1J7SeQRK/C+B+SulNlNJ5AB+H061JdB0mt1qhfW8Lbc16hJBzCSG7CCF5QshOQsiZbWxmI4AYIeR+QsgcIeR/CSFjAJ4G4AHPeg8DOANOjusjLqFtyMyPNpZFinqthphACFfVNFCgSV3UNHWJzImQHmUFrH5SySRKlYrQurFYDIZPxVNVNfAi9k8c3snry9/8Nl7z0hd3bGrvVTVVhg8qD7quh1b8uxOYS+rCbkbTU1MYGY1W+Vl84A5ooC2KvPe3HTTyoJQymym4UCSKpPrSZCnE302I5AxXqlUkYjHmb+9Xhf0NCLy5i6ZRh9rwQe3kRhmGQSOP7b+1DXfcfQ8opXjsiSdx1umbhD8fZ7Rv5Z13rLzwkxWqogqffw5BXcVdLkpOw6BpOixOxGV8dATHOOoq4Pg38x6cgGai7t/f/Nwscr7x+ddp5xzNZDLhBLVSRirJIaiELD1EyBDvPbt/hfMvuECanMqMcWR4BNNTU7BtG0ePTGDt2nXCn7UYbbpdsB6obMvCr+7Y2XYb2xMAPzfaA2CUEJIRXIfHrToCIeSvOt0GD+1W8d8Ax17qLQBeD+DzAH5bchsDAH4N4N0AJgB8CsBXAOQAeJvyFhrv+d/3LmsBIeQ6ANcBTuhABqI5hsBymD/ZOMnDyFzLfkooqINGvi2z4VQyiXJZzE4oFou3dP1xQurNBENEoTt65Ajuuv9B/MV7/1B8ZwXg+GKKEtTou05NTU3izLPPDlynnRuPrqotOc1+uJMwL+SrKAR2QCclL4iirghB1TQN8Wrw75EvFNDH8W1MrtmI/KEn0L/VmWLm7tnNPf9Mw4DOMeqPGtt/62J86vNfxLHJKWiqgqHBYDXQi+yaDTAKswDC1Xt6CiXXefOF/cfIq8xR20ZxcR5ZAceDTuHkrLOvq/GRERyfDCCohgFFd+4FXjLnPWb+SncX+flZZAeXCWoU5BQAspksqhPBVuOVchlJTiheUR1RZE7PLe2DiJiyZ/duPPf5vyO/wxIYGh7B1NQUpiYnkcv1LY1B5LdyHtybr5MgAn7peD/0eKKr6TM/+P4t+NMPvE9o3YojIl1MCLnX8/YNlNIbGv/OwamcBwBQSmuEELPxflFgHR636hRXAfhIBNtpQbsE9SIAOyilBiHkwwCkjfkppXcCuNr9mxDyfgCTAObg9HB1kQIwD2DB9753GWv7N8Ah0jj/grCej82o12uIxcQIqqY53aSSjapuVpejICiqKqSgilygvHVSySTKEiF+f0GLpoSnLezYNN4SGrrp29/CS5//XKQjyllafOAO9G3Z7ngt+gmzh7x7fwdd04Q9U3lww8cunBB/dAqqqw7HNLVFQfXDtuxA03BFIUiMnwEgvF+3ouvYPNC8LdZx7BSOLVjwNbGYD86rjY2sFfouyzKhtKGItEMWhodWYfXYKL558y04c5O4ego415kyzLcB8sJVUF2CI3J8orT/kYGiKFBSOfRvvQIL99/OXa9UyCOWSDK7fomkmkgVIGoaLM4cEKagztA4dF1rInMu+rZsx1zj3y5J9V4/hbkZ5Ab5CnG7CArx79x/DJetXQVCCGKcVBeFNIsiLLsp1xnDjU5UymUcO3oEp5/BD5ZGcW4Nj4zgyMQEDh8+hLXrxdVToOGgoyhC9lmAE7XJcPLeo8IrnvMs/NOHxAjqLT/6Cd76nvffSyl9CWeVJg5ECInB4XDzguv4ORSXP50saDdupLodAiilZbRBdAkhzyeEXOV5Swdgwgnbn+95/1wADwF4DMBm0vBbafz/bAC/amsEAahWq0gI2gjpMR1TdHldWY9OZ7IIvnn7w7yySKeSKEuE+P0KqhNSlyd5B57cj4ueLpALKYmgoi0/dK21kM1FXWkv7WBqarI7OaiahrnddweuY1lWYEiKELJURR2kcpfPT0PRYzBDquujgKZpMMxg4r3IUVD7tmwHUUhgIYsX1KYtndCihvca3P5b23Djzbfi7NNPk9pGLBZraW3Lg23buGBsWZ3tpuNCO/BGdVSGJVjflu0tkZ/iwhzGR0eXSJ33FTW0gIfU/r4c6oaBEifCZJoGNM2ZJ+b0nHDqFtAI8TcIalTqKRCeg1oul5BkhPd37j+GnfuP4ReHp5eOkWhEbmZmBquGhrnpDmHjER3v8MgIZqanMHH4MNatWy/1WcumyG12XDT6tmwPTV+oVspIcNIgTlL4udFmAPsopRXBdXjcqlN0bcI9kYlNgwCuJ4ScQwjJAfgHOJX5/wXg/YSQQULIJQCuBfBNSunjcPxW30cISQL4SwB7KKVHot6xeq2OmECRFNDIcfQQIJ5atFrn9E4PCfGLXpxB6zkKqihBZYf4vYRQdIIu5xfQn4vWYmXxgTuWCJpIaoSuOw8MvMr2gtY8QYWNzTAMLC4sYNWq6JWRmKaiHqI0mrYFleEwsWRf5FNHgkiqosVhGGIkCWifGIkUSeULBfRxqo4Vokh4BdOlwjeg+4rh9ku2oVypSOWfAkA8pqNer4vlADK6u3WLzHUKVQ1/4AaA/NwchoaDO1XxIHtMNV2HyXlIJYRgbHgYxzhhftMwoely+ot7XByCOhT5ccpms6hyOmMBQKVcQSogakWIwrxHBZHV2dkZrBpiz3lRXmMjIyOYnp5yFNR168M/AE8YP56U6uIoI0SdJLgJwOWEkMsb1fp/D+BrEuswuVUE+3VrBNtgom0FlRBya+P1fTjFTrd6X2EboJR+FU4V2e0AngCgwrGn+hyAB+HkUdwI4D2U0n2Nj70ewCvgpAFcCeANbe5/IGr1GuKCIX7HC7W+dHFrqgrLM0GH5WqyQvxuRWpUF34qmeQqBH7wi6ScMckk1Tt2SNESVO8+scL8fhBCIu08NTszg1UDAxim0bcIddIR2Dd3d2yOghoc4hftUKToOkxGe9Wob6jOQ0Iwacnni8jlnIc4/zlGFMJ8GGGdi07f+mge6EWuv/POPgsjQ6tw7llydaK6rqMm4NgANGymOMUfMseq22QdcEL8Xs9kbgX/wpyUCXsnc6KmaYERoKAwv2EaiDHSEMLmwR2bxkHKBfz2ea3nBatVp/cVhrAiqXK5jGRA6NqNSHhTRcLGU5uawOqBVuN/meMhsu5wo0hq4tChJQVVBH1btkt3caxWqkgkTx2CSimdhcN5vgynQdIUgI8RQl5PCHk8aJ3GJoK4VSf79bHwtdpDuzmob/b9/XX4Wl6JbIRS+pdwlFA/3glGNypK6V4Al4jvZnsQreIHGlZTnqfz9oqk5ApVZIulZG2m/D3hXZspEXhvmIt5fuFLp3Ar+UXcAdw81KB1+7ZsD8yZczE1NYmxNpWfMOiaCoNxI/VO7E4OKl8lUIgCm9LQHEAAUPU4DEGro06gqU6RStB5u1DIo99nLO7eNF0FVeThiEobEXd2k1UUBTf95+cD22WyEPek0oTlzFFKpZp/nEhl1Qnx8+cKt52pUa0imwr3Eo6CVA+gHlgouXp0FMeOtxLUOT0H0zCRN6wlMrdj0zgGG+fhnJ4LzAdm2dHx+sj73ws61zOZMAW1tUDKu5+Ocwxden/HpvHQ33l6dhZDvqhRVA88TfPbwABKpRKefHI/1q5bJ/UdbhdHfy0Cb86pVCpIJrubgxo1KKU3A7jZ9/aXG6+gdUAptcDhVicr2iKolNL/BABCyDPgVG9t8GzLJahfZn/65ALrpilVxR/TUW8oIXN6Dpo2F6oW7TxYxq59BJeeSZ2brzck28ZFH/aZdDIlbjPF6JsuY+vkwjAM1Op1rvl6J1h84I5G+9VWVY31W+h6o/OUZ1dYk5ZI6sL01BTGRoaXvqsdVwUedFXlKqguLIsd4nehKOI2U0pD/WchrFhK5jzV9XCbKUdBXVbbvTdoGVUYjK5LUR8nP2TJKdCa6x1ESGiAggo0H6sTVRzlQlEV2JYdSrpt24IaCw7HRrXPbpoPD2MBCur9E1OhPqYsWKaJhYX5plQgEXIqgkw2i2qFT1B37Z/gWkwBToif16CDdc0PGnnMzM5heNWqyM8j//aGrCJWrRrC7OwszhmUu3eYloVivG+pLD3smq9WK0gkTi2C+puG89vIIgAAIABJREFUdhVUF26Y/q8BnJjm6B2Ad7HValXE44JFUr6bfFg4yQ+WsbUIZG66uq6BUop63cAggj8Xi8VQKDT/LrLOBIDTyaQvm+2ahQcrxM+DrmmB1fGsCl0/3GrWqalJjI6IhyZlENM11A0zUEEx7eAiKa/HYRgUTYdZL4aviM5UOU1VUakGF2MFdcciRBEvkqL0lLBkius6aiGODS5EfFBXUjUNmj9UtbVICmgmPjsPlqFbFjSNT+yjJEJaSFRrfHQEe5/Yz1zmuEIs3yZ37j+Gl60LV35nZ2fR3z+wRG6jHE8ikYBtWdy2vrVqpanTnZ90ylgbupienZNOY2FB5HcYHx5EOhGT9ieVDvFXq6ecgnqyghDyJNiRcxNOt9EfA/h7X0FXKDolqKMAProSPVm7CT/ZE+0kBTCKpNTwfDsviKIsdUXqlspBCHEq+asVxGLBIXFeFb8oGXSRzy9yCUcUkCKouh5ZDur09DTOXr1sMRWlOueE+MMVVI2Tg9q3ZTuUH94mkYMah1Geld5PWei6jkIjJMn6vSzLQrFUQjbDI6hYCkmGQbZvfdQ5dDz4H4KcXG/xHFSFnPxG/XN6DsVYtuW6dI53s+LndaPotrobdv2Pj4xwi6Rs04SqaU22SyLX+9TUJIYDrOjaVU8BZz5PpNKolkvI9PW3LK9XK1hsDJeliP7sUAWgFD89UMKzN6a5Pq5eOCF+cZ/fTjA6PIyBvtZ81zC4IX6R8QBOiL8vRMXvFKW9v8KiIlavUH7yka7uS5fxeQDPAvB3cGxHzwLwPgB3wSGnHwTwGQBvlNlop7Pef8IpbHpKwaniFzfq9xLUxXgft/c7C4qirkg/dMesP/zhJRaLoe73QWUoEKxwuHdSKOT5VdlRQLEsKaupMAN8UVTKZWQ4LQTbgfdGFVO10Cp+27KhBIX4GzmoQHjKgqLHYAZYHbnHs1N1zjFK5+fWFktlpFL8CtyKlhKu4ucR1E473HQCl9B4iU0sFkNN0EGBUgoloDAuDCsxTndsiqLCaByqIKsfaltQtZXp4KNrGqjB11BYRVLueKwGQZXF9NQUhoaXU4GixmB/H6oldvSjXq0glkhyU3Sc64MAlC4R7zBMN0L8K4G142M4feMG6c8Z1vJ14lpqBaFarSCZELvP9xCKPwDwCkrpzyilj1JKvwvg5QDeQCn9EYDXAeD5u3LRbqvTRwghv4bTQeCThJB59z331c52TxbI5aA2V70rigJ/4/BLFH5IyFFQ28uOkKlqTafE8lBZCqrfZkqkWCVfyKMvAospntKgqgpMweIyXe/crN9FtVpdasoQNXRNDd3PsCr+5OoNwuFwRXfO3W6HhzXfuPznbJjbg6IQVIhDEsJ9KMND/FE6ZMhiTs9hTs+hlupH2bCX/naXsUBtu6vdbqKEIhg+dhXUlTgOvAckF4P9fVhYWGQ+BFmmicnGtLlrH8HOg+Ul4hNEgGamp7F+qJ85Pv+cxipmDFNYBwdXobi4wFxWq1YRC5mjiMLPQ/Vix6ZxUEoxPTuHocHud/0CgDe/5pV486vlW8TbtoU7DzdHhIKOESktItUL8UcFE4C/s8IglitWdQDSFbnthvjf0ebnThoETYyGUYeut4ZOWPArqCSkF3rflu3AHdNLfz8ya4C0kYMqi2Qi4bZSC0QsHgeqzeE4r82UKJwQf/cUVFWRMetvn6D6u0hVK5UWguoPW7d7041p4QqqaQdX8auK0hTi7996RVPHm6Z19RgMhs2UF1GQV10LDrEuBnigAm5Rh6iCiiZTey86IUNREynnQVAsM4radmBh3MkEVVVhWzYzr9ur1tmWFdjjPkroIXUBuq5D0zRUa7Wma3vn/mMw6jUomo5d+5ofEMIKCPPHJ7B6rDXEzyOnC/ffLuwvDTjtuxemJ4HN57csq1crSGXZDztLx8DJmxH6rmKpBE1VhDoChjkQiKCdokNAPge1Uq1isF/sPt9DKD4E4KeEkG8BOARgGMArAfwLIWQtgDvhhPil0JaCSim9LezVznZPFhgS/bxjsRiq1eWqd68PoP9C3czquKooQq1OO0U6lURJIMQfj8eZnqmiqtzS+gszkSioPCiEhLZfdRGLxdjk3EN6RPNIa7UaEoLquiy8CipPQaG2HUjMFVWRq+IX7GbUCTStNUXES15K5TJq9fqSG4YfRKLwC/TkUht555XTUrgeuh4AUGq37e260koxbfwXBjukI1qU0DQVhmEG/hbZTAYHJ5yeL95jsXvfIehp+Rzzw0ePYtyXgxqmnPJs4Vj7PT6+GvOT7A7jZr0emLrjwp0mXFWYR7qnZhyLqTBV110u4+kaFWa1LOr1elO+sAveuMrlCpKnkA/qyQxK6dcAPBMOOV0HwAbwNkrpxwEUAVxLKf0r2e2e/Jn3K4SmG2aphHQ6vFITAM7ZfC4evP++pb+dHDjJL1+BG2qc4W/KwrnnnodHHt+P6ZnlUMnDj+3DmZvkWjlWutylgxCg8Ot7hdbd+rTzcdudd7W8728b6j5QBE2s9Xo9tNCsXTgENVhBPW39OhiGgfse2s1cTikQH23uW88bj6IF56BGBTtE9d1y/vnYsHYN/uLjn2xZNqfnpFJuKI22714n6QBBpDORSKJaFStote3lTlInKjVBFFPHxdoAW6bB7RXvgmdgL0t8FE842/v7eVMr3vC26/DHH/kYnigsP0hNHzmM2UfuxeH+Zy2951dS/Rg08qjV63hwz6+x1dPmOWqytn7DBswcYzdR3PKsq3HvT36AY08+wVxuNfJxFU1sHjs4cQQb1qwOXIc3vpUiqbMzM9ASyaXUhrDc2kEjj5n5eazqKaiRgBDyh5TSfZTSv6eU/j6l9I8BPEkI+RGldKFd0bJHUBkoFgvIcCqK/XjGZZfh7rvvgtVQiGSqiHftIw3fxrZ3VRi6rqPeyMMKusllslnsuPJq/MfNPwTgmO0fPnIU5599ltT3LRgUiTZDNSIQ7nwJ4EXPfQ5u/fFPl9TJpQKIkDCjay3lhWHUERNoDtAOdE0LreLXdR1vufZV+OqN32avEHD++cejCIT4o4BhmNADfudYTMfffeiDePTxJ3DX/Q+0LHf8ChMthI9986PYM8XOzTuZkEwmUfWp+rzrktrBhXFRIoxQhEUajhyZwOo1a0K/xzQMDCjLqrifiPIM7IOW8+AtHATYJPW5z/sdPOea5+HP//SDOH7sGCil+OFXv4C1v/0ikKRTUZ7aw/ce9WL/wUMYHx1Bf5ealADAho2noTTVqgzOHDuC22/6HzzvDdfhW//+j1icmW5ZxywXoaccC0Av4eal8xw4PIEN69YylwErR0KD8Is7fo61p58pXPQFADNzcyvmTPAbgHcQQj4CAISQAULIvwG4F057+rbRI6gMFAtFZATzJ0dGRjE6Ooo9exxFa8DICxFOd7JzCG33D0Mspgvb2rzila/CLd+7GbPz87h/9x5csPkcbhcmXliqVqsj0eUKSSKolW1Yuwbr1qzBHXfd0/S+aZrSYUZHQe0O8Y5p6tJDRBAuuvL5uHf3wzhQaSUMlDq96EXywMKq+GUQdJMyTBNaSMV2Mb0Kb/n9d+GTn/0ipn1FhZVKBYkA43Ev2ukk1Q2EEblEMhmYE+59mHAUaGWJWEWporJUShHC4YaE/eHTI0cmsGYtn8y4MA2DG4mImvAQwUYPr33DG/HM7dvxB29/Kz7w3nejVqlg7OJnAxAnpwBw7Pgk1oyPLf3dDQK3Zs0azMxM4xmrmwuXHrnnTkwdOoBzLroEv3XNC/HVT/wNFqYdhwKXvJnlIrRUJlQNdnHw8AQ2NI6pfywiY4ty/G5Robe48FCV4Ktf/g9c8WK5wqqZ2XkMDXaXoBb3PoSF+28XepX2n9K15ZcDuIoQcguAfQBOA3ARpbSjrlU9gspAoVBAJhNMUL0T8zOeuR27fvlLAMsEwQUr8b1pYpD0bWwXMV0PNKv3Ymx8HFc/5xp8/qtfx30P7cbFFz5N+vvq9Rrise4RVJE8Nxdzeg5Xv+BF+MatP2p63/EUlSvUMOpGdxVUgWK0VCqFiy7ehjtu/1nLMgp2xoiX1JTPdwhguwoqjyDxbkSmaUITCCduv/wKZLM5/ODWW5puQLLOCSdRCioAtuWNruuglArZn1FPiF8GnRDZIFLBy+nbuf8YHtr7OOY15/zyk3Qv6TaN+lIxTLcVOCWgc5IXhBC89vVvxFe+9g0MnX0BRp//5sAOXjwcOT6J1aNOmkO3xqZqGtasXYvDhw42KZ/7Hrhn6ZounfUsXHLNC/Ffn/gwvv/QwaV1jHIBekq8PuDgxBFsXNeqip8MyumcnsN/feXLeOZl2zGyTtyayrZtzC10n6D+poBSOgfgSji3oL0AXkQp7djYtUdQGSgVC4EKqt9m5NJnXoY7f+lcrLJG4Vihzje6rjfZR4XdvF7z2tfjhz+7HT+94xfY9vRggsqaqKrVqnCzA5nteiHys7k3yWfteDb2738Cjz6+nJfldIlhK3u836ebIf6YpqIu2IVsx5VXYedPfgKgmQjInH9RKqguWMfMME3oOv9BwN1/Qgh+/11/iP/84hewuLAcpq9WKkg0ihlCi9kkUj9WAk0dlDz/JoQgGaKiurC7FOKXJRi8395LwOcmj2NwNLhNLuAqqN2dH1yItMr1KsJ3TxVwyTUvQHp0nbDK6MWxyUlmBb8XvMgTD6z5aMOGjThw4EkATng+PzeDuePHYHh8rAtnXIGBi6/CI1/9JxjlIqxaBRO33YTFtFjKFqUUByeWFVSgOdViJcFq8PHwnt34vx98H29881ultrWYLyCVSHatnuA3BV57UQD3ATgb/397Zx4mSVkf/s+37zl3d3Zh2ftguS85VORQOdREDRIlHtFoVGIMJmo0UWMQibc/ooaIR4jJD1HBK48EDaAGV3ATVxdZlUWQxWXve2Z37u7p45s/qmq2pqe6u6q7qo/h/TxPPzNdVV39vl1V7/t9vydcCGwLI+WoEVA9GB0dq+iD6jXwnnTyyWSzWXbt3FlZhVUBbVLUcTqV8q1BBZg3fz6vffnLGB0b59ST1wX+vqlcru50IVGQSqe55pWv4t/v+Mb0tlo+qF7k83mSUQVJxWsHSTmD9LOffSFPbn2Cw4cPz9jvLvXpmPndk6E7bVY8pCj+WpNVoVComIS/fNJZd9LJXHbFFfzLFz43vS2bzfqumW1p1lurQnX6lM/n2fO7yi5YXV3ds/xQy7lsVbenBrVRM38YAka5v5+qcvTgARYcf0KFTxyjkM+TbpJwIFJfOWkHL/N+tfRrew8cZMnixZELcavWrGHHU9un3z+x+SFOOvcC8lM5frT9WJuXXPgiBk45l99+/Z947Gufovv45XDWy3x9x7Cda3XB/OCVnWacJ8TfolgscvOn/5GX/8GLuekTH+Mtf3EdvzwazBJk/E9D463AX7he1wKXAa93basbI6CWYVVRUt9Rw2BpQy58zsXc+607+PCnb2bxomAVN5ohoJbna/XDa6/5Qz7z4RsqBrhUy9uXm8o15INaa0BzYh6CDHwv+YOX8Ystv2HHju2Afx9Ut2kyn4/OxJ9KJphypWOq1rdUOs1zLr6EB9f/CJgp6Pm9mySepFgsBCpj60cwKvdpLBQKFX2Y3TgarLWX/wGP/OpXbPr5z7jvnv9i8y8eYs3atf7ao815nvzw73ffx5c/ej333v6v0wsB9wLX8kOtHdSRiccCV5Kqdp0aERamrUe2cOoWUseOHiGVyZD2kfy8GIIG1S/xWKxqmrxa2t5KVBJS9+4/wLITamcyaJRVq9eww9agAjyxeROnnP9sYvEEWpw51q+88o/oWrSUniWrWfOS1/uOe9i9axcrly0L5Zny8l8Nqo390ZN7eM8Hb2T37l3cfsc3uO2rd/Ki33/xjGPKtd5e18kpPNAObgqdTNQpR1sqoIrIWhH5sYiM2+rg59vb3yMih+3XP7iOHxCRe+zjHxWRxjICezA6Zvmf1nogy7UHz7vsMn604X84+cS1fPXzN9f8nsLOu61/2sgHtdxXLpNOc0GZed8RhGoF4UzlpiL1QQUCu0Z0dXVx9cuv4atfvo1SqUShUKwZvFPO1FTel7BVD7U0qG4hdP22fSw84zzuuueeGccEMfGLCMnk7MphYTK8eYNl4q+hqXbfd6lMhre/69186Ibr+ebX7+RTN3+WNWtP9PV9GnaeqQY4uGs75z7/BeQmJ/jcB/9uOtOHg5eJfyA/MmtCLYWYqD8KzanD0MH9vrSnAGnRUARUP/2RmKA+gqTCQFXZd+AgSxZXN/HXQ/miY/XqNdMm/rHRUfZue5K1Z55DMp2iWFZGVyTGiVe9iTW//zp+9qT/e2l8bCzUfNaVAvH83pf3f/OrDO3fx5XXvpOHh2Y+O4Ej+I3/advTag3qN4EfAccDnwS+JiJXAG/Higo7H3itiFxtH38zcBBYBnwE+LaIhLoMHxurbN4vx1327tzzzucH3/waf/rqP6pacWN21HVtE3/QVabXsckAQVJhkM1myTTog9ooXj5zV//hy9m/by9vfN0fM3j4EPF4/Jj/XA3/xlKphGqporm6UfwGSTntXXXqmRw9dJB9+/YCVvurCahuwccx9SdSKXK5rOfxYTG2d0fghcDYopW8/4Yb+dwXb2XV6iA5eNV3doeoObh7J6MDa+l/0bUkunp5/KGNwLHr59cHtVgqMlCaPfkGNfNHrS06Yvuf+mFqaop02UIvqF9mJcrHSyvNVHUT//odE7Ne9fifDo+OEo/H6PM5hzTC0qVLGRocZHJykrv/8zusOvV0UukMpXia0lSurvaXE0VhknruQ2ds++WD9/Pyt717RinXejTgh4eONK10q6F+Wiagish5wCLgw6o6rqpfBl4JvA74oqo+pqo7sMpjvVpE0sA1wPV24tc7gUPA5WG2a2y0eoAUBFupeeH4NHVvGbdNkpUvQ9AE1ZVWqOlUckblmiDUM6BYUfz1Cah+v8/P8OsOfli/bR89vb388+f/hff+/fW88Pd+n4WLjptxfDXNcDFvaU+j0niXm/hrEU8kOOX8Z/PA+vXT2yoJqJV+02Q6TS6b8yXs1Ov3WCyWSPpMCu7mORddTFd3d8UqN14CjQb0AY+Sg7t20LN4BSLCCc+6kvvLtN3BgqQaG6rreYbdn/FavG3cKqgq9zy8jfu/+RV+8I2vMnHcSb7OnS9L1xaWcOqF3zRTXgRJLwVWiqmlHv6nYfXP/QzGEwmWr1jBp2/6JN+/915e8MdvBKzgx5KtQQ0qpJZr73NNjCWodY8ePXqUeDxO77xjyfXLxwW//W2WD+rI49sY2vSIr9fYkzsjb0/YiMjKCq9QTAit1KCej5Uv68u2KX8TMAWcDbizdT8KrANOBsZUdbfHvtCopkGt11epGqqlyEyS7ge+t6fHs4RpPfgpC5rL5SKtJOW3NrsXIsLpZ5zJ297+Trpsf7lK13Zmapxo/eYsE79/ARXg9GddxPfu+/70+6C/SiKZIpeLNll/vujPlcKtvQLv9Ey1aU7hi1pks1mODg6SWWiZvAdOeQZTo0dmVPfJeCTr96JUDCagRlltyrk2G7cK+ouvsfEf382jt32CnUenOOvPPshx51zsawFfaQHrVf6zlnBXaRHv/B8TqTherN+2r2GFg5u9Bw6ypMz/1Gm/O+dlWKxZeyI7d2znM/98C/MXWTJBPJmerhbVKFYVt+ZZwqopZL636de+XUhqcXjQmPhD4rfA4/Zf92ufiOwXkRc2cvJWCqiLsPJmfR+rduv/B+4C+oFh13Gj9rby7e59sxCRt4jIQyLy0NDQkO9G1dKgugfoUKiSqD8Mk5xzjr7eXkbH/WkDwhDEc9noV97NDoYpFvIkk9H1KeWj1Gk5K085nbGjQ+zevQuASUn5/l0uW9VNMpWeNvFHJdgUiyXye5+qfaBPqmm52yVR/47tT5FZdAIxO8+uxOKccMHlPHT/vdPH1NKgOoujUqlIvIKAWn7NvK5h2Kb9jVsFHd4LOzfB5e/l/Hd9htUveg2ZBcesEbWEPnfJ4EpCqXt7I4JdLFY7ij+s8Xzv/gMsjcD/1I37Gl/3V+/gn275AgMLjwXmxpIpHtl2zFrWSN+sbCwRxxKUUcml7cjB/Uz1LpqxiHUIusgwAmo4qGqXqnbbf6dfQBL4B+CzjZy/1T6oj6jq11R1UlU/j9WpRYA7DLQbOAIcLdvu3jcLVb1VVS9Q1QsGAtyIQXxQHeoR6CZH7MTJAU2y1aj2mb7eHkZHxyruD1s7nJuqb+Xtt9+1NIV+tLy1KDd3FQqVU0yFUeUnmUgw5VNAdQbpB3ZlOfWCC6fN/EqwoLtkKkUuG70GNVnDb9fPhOP3Hm2HKP57Nj5Mz+IVgCUgbNwqHH/e83hi80OMj4ywfts+W0CtPbGWSqWqUfwD+ZHpV9PY9RCJ7nOQ/hMq/t7u61X+LDkV2YKOc/UIqU77alldnOvkJdAVdt59LLC1DPe9unf/AZYsPqZBjcp1wbnW/f3901Ygh1gqDYVwAh/rzcbip5JdUI4c3E9mwbHftppQWksot4Kk5pYPqoi8SES22kHk3xQRT01brePs4PWGkuyrVRnjP4HaZeWq0EoBdTuWQAqAWKNIDLgPONN13OnAr+zjF4jIgMe+0PDjg+oQxqp720Ga4jPX19vL6NhMAdVvyqB6mMrlyES88m62GFLM+0uXVC+pRNyXD2r5wHzasy7iv77/fVQVVWUy7t+1IpFKkaujmlQQCsUi8SoCVqiLo4iDtf0+Dwd376D7+OUzxohkdy+9J57NY5usqnNdXd3TGtRqz2KxVJrWoEYV6ORHkHJfp9jWn5OY94y6vktLRVQ11GDDSlq3aTO/Dy2qG/d1qySYerHXR5L+sKh0z8SSKSjmZvjP1jtXNcMS5pcjB/eTGfD/21YSYFXVCpKaQ3lQRWQBcCfwt1hCoQAfDnKciMwTkTcB36KB6VVEMiLyGqyg9p/Vex5orYB6H7BURK4VkS7gL4EdwO3AdSKyTEROAd4J3KGq48DdwI0i0iUibwb6aPAHKMePBtX9sPs1LTzbVV/cGfAKO+/21KBWm4Tq1az29fTUNPG7+1IuNAT5XlW1onQj9F1ya0OCtK0RYShqE79XFH9537zav2LdKWipxE8e+LF9P83WIB99+EErhdGq7hnJ+pOpNLls7Sj+oOVN3RSKJZLxuK9jK2mwHGpdvyAlcIPip/3O735w9066bQ2qw8atwqIznsVjm34KVPZBLf+tg/qg1osfIXXjVkHHDlGaOkKs50S6t4wHFn4uWZoklfLvilJPO8sREUoVNKiV2t+9ZTyQcAqw78DB6TKnUQZ+VWL9jgniyTQUrEVn0CCvcqKI4q+XIwf2kxmY6d/rnrOc6+jVZ/czNT42RiIRp7urqyXXKCKuAh5W1btU9QjwCeDVAY9bCFwE7G+wLb3Am7AyLr2ukRO1TEC1f5wXAn8OHACuBq5R1XuxhNRHgJ8An1XVH9sfewdwKjCEJdBeo6rBnPZqMGbnQY2KWRNskypJ9ff1MjpWe7CqN2DAPQBMTU2RSCQDT6p+BIAZA0qtXLV2AER58E29FArR5UAFSCbi5AMkzXf48a4sL/7TP+dzn72Z0dHRwCb+bMRBUoVi0Ze2rK60PuX3TJNKB1dDVTm0awePja+ctW/+urM4tHsno0eGAkTxF5sioPoltemnJPrPRuTYNa1kHvdytSnk8ySbqJUb3ryBGHjmQnXGhO4t4w0Lc6pqmfibkKTfwWvheHgiRWrnaEPndfyfc3VkYwnbvD+96Nu/z1ODGnRcHxoaYuGCOZekvzy4fAuwWETKtW0Vj1PVbap6LXBTIw1R1cOq+gJVfZuq7m3kXC0d9VT156r6TFXtV9UrVPUpe/uHVXVAVY9X1U+7jj+gqi+0HXHPVdVfht2msbExenz4oPoZzMoH54FnnlV3u2pR62Hr6bbMiUGqBvnBq5pUfmoqknKgs1a7DUTy18Lr9yzVURo1CKlEglyduWqXrzuFiy99Lv/13bung+78+OEmU+kZWrwo/BgLxVLFIJ9KbNwqvieeamUno6DWszY4OEiBGNI1uzxkLJFk3Tnn88TmTTw5NFqxupu7T40k6g+66Ct/xrw+Xxj5NfF55wTWLjo46drKGdr0iO9zBNV8iQhHfFgj6hVS1++YYHxsjFhMKD2xufYHoiSRhtJsH9TAKadWdZPLZgNZwqLwPQW4d8uTaLHIQ3v6q/oK+yGXy9IVYYaZBrnACe62X2/x+bkZQeSqmgMKzA4i93tcW9A+y/I2oVgs1qx6E4R5517CaWdVEaSSGaZ8mFgbJRaLkclkmPChsWmURDI5q2pO2HSnU0zUmdcVKgtiQ8l+5p17iedAm8p0MTHRmJalGulkwnKPqPO3e8lLrwJg3jz/dbMzPT2Mj1UOnguDWOxYmp9KAlNYUdQisUgXLn4YGhwk1Vc5AGP5Saewb/vv2L/jKU5cZ2XJq7SYUFW7VGx0C6OglLJ7iXevrri/1rXMT03NKiUdRDitFxF/Anu9QmreLukblZDmmxCtCDsPH6HbR+laiE44BciOj5Po7p1hHXK7Kjn4uXalUslXiesw2LFNeOwRf6/dVtz0Q05wt/261X0+EXm/iBTKX0ACVxC5XcAowewg8qM+j2sLjIBaRiP5Nesi2c2ewZnCUj0Pup/P9Pb0MDYeXs6/St+ZSlnlM4P8lkHNLX1dGUYnGxfs3VqUWv6N3b19jAxX1jA2WtlHROjr6mJ0or5+OfXqg5j4M929jIwea3cY2Q/KScRruy54TTZ+cV83iVXOedkIQe7PsdFR4l2Vq8ktXrGKAzt3sGvr40wuWFr1XMVCgUQiEZkbUFBNpE6NgxYgXn+lpEJ+alY+4aDWJS/LjV+GN2/wLCnbKD/Ztrdpgo+bWeNOqQAye0FTzzPwKpI1AAAaiElEQVSWn8pR6Kkv2j1MgXUqlyWWDMcXtlQqIbHWZ/qoB1X9mKomyl/ABmYGl58GbFXVco3U4z6PawuMgOpFBJNBRS1qqptCNjyhsRq9Pd2M+cyF2gixWIxkMknOZ413v5O/e1Lq7cowFoKAGoSu3j5GR0ciXcT0d2cYmahvrIjFYtz21Tu5/Iorp7fVmiQyvb2MjTbmr1aLRDxGoQmuJWAJ5xogWjsKRsdGSWR6Ku4/bvlKDu/dzdjRIY5fsarqwqhYiDZzRGAmhpDkAMVd3637FJaA2h6BN5WoR4uqWkJi4Wi6GxLuSkWQcATlfC5HxocGNUrt6UB+hLMW9hJPpbnwJJ1+1YuqEqtSvbFDuQu4VEQutSP1Pwbc0cBxbcGcu0oN02wNaqqbYtME1B7fAqpbu+ClZamlaUun05EG3/R1ZxipU9NYjl9fx3giQTKZZLxOAdIP/d1ddQuoAMuWLycVIOo2093DaMQCajIep1A8JjRGGZwgEmu+FaSMsdFREpnKGtRUOsO8Rcex7MSTawY/FQt5ElUE1Cg03lXJjiCJxoJICx4m/rlAM03HXly2dokV3FRBg1oP+YgrAvolOzlp5XetQBAXoVKpRKwNciWHiaoOAm/ACjDfhRVB/3EAEXm9iDxZ67h2xAioHoRtTqtqvkp6a1CjWJH29fYwGqKJvxrpdIYDxfAjdR3NWdgaVL9Can//PEYiFOj6GhRQa+EsPJwo3QvXrWR0JNoE7/GQNahuoaz8ObFM/K3VoA4PHyXRVd0EfsLK1Sw/6dSa5yrXoIY5LtSVYmdyGEk0JhRHXTK4VWhZQYWgbgiNuC24WdhTmJFhoRGmctnpQgCV7r1m+Nxms5NW+qwQ6MuPIW2UFSMsVPW7qrpGVXtV9Y12ABSqeruqrqt1nGv/j1W19uDUBObeVWqQsLQvXpoNzwHI1qCGXcnJi96eHsYCBsTUM4mt37aPVPpYCc0osHxQm+8209ffx3AIAl0lLWJ/d/0+qJVw7juv7+zr669bg+pXE5qMBy/h6gev56kdNKhWkFT1QLUrX/OnPPPKF9c8V7FQIJlIeo4nTdeeAuRGkET9/qcAm/eMBtLyt4qgWQqala+2djsK5FZVdjEJQj6XJZPxFyTlRVjCazabZcmCcPpUnIMa1LlK65+mNiTMW9eZRCpqUZNdFPM5SiH76Hlh+aA2R4OayaTJ+iihWa+5tzxIKiyzca2FQn//PHZNRHet+hrwQfWLoz0F6Ouz/GrBv8BTqWpPJRLxOIUm+YWKSKCKQVEwNDhIskoUP0DvvPmkffj2FQsFEjUi+OsRVKstPKsuSrMjSIOCcanQmRrUxMqrqu5vtYnfQYsFKPOFrddns11M/JOTkzUXNX79hkslrVo62NA+tE/ukjYhyko0XojEiKW7yE1OMpRcPiMic965l4TqrxfEB7VRUqk0UxGW0Ozr7mIsZE2jH/r7+xkZGWEo2R9JztB5IZn4HUH7FSuqax36+vsZHWl+kNTw5g3MO/eS0H9DiYWvQQ36DA4ODpJaOw9CKIcedfWywGSHkcQqYLDuU5QKzfdBbca4rloiViNfraP1j7KCkRaLUGfe3HKmpoOkrLG8fE5qVkqtbHaSZCocQVm1eRrU35QmOeRRIMKL3RptwZROxCwjPKjXB7XSROY2RXr5OiYy3WQjzK/p0KwofoBMJkM2wvyuYaWZcuPHD3X+ggUcHRoCojGxRu2DWk5PTw+Tk5McioVjPvMiURYkFSXNiuKvJrRaGtT5oXxPsUIO1EbuvYaEo+xow0FSpXyew7lo8yR7ISHYxi48SSumpyoVi6FoUOsR+twLvZKHBrUalQKMSsUipWJhlra7FXles5NZkiFpckslnS5mYmhvzFUqoxXua/FMN7nJZgiowfKgDm/eUHcC7VQ6xVSEUfxRppmqNvkvWbqMvXv3NHT+asKNlw9qlFHvsViMnp7uSJP1W1H80buwQDQa1CCoqqVB7Q1JQC0W6tagRnLfZBsPkioV8iQSqdb40EaIlqr7oIYVBFWzHQEFVLAW5+XuTVO5HMl0BhGZda2CCKlhCLR+TPx+sTTdxge1E3jaCqhVB0eRSMy3lbA0qN6CY5ir1bBN/E7VJS/S6Qy5KNNMNaBBbeTaDsa72bN7d92fr8WCvh4OVzC519NuP0JAX1//jGT9YZOIx0IJklq/Y2Jay13pvmt1HtTR0VGSqSTxkPJ8FvL5UMvr1qs9nb73siOUDv6soTaUClMkOtAHtRaWD6o1pTr3Z7OEUjeWib/xeyafy5KsIhQ2U5NqmfjDStQ/J/OgzknMVSonRO2Le0U6/7znVnyg4y4Tf5RahWYGSaXT6ZoCaiManr7ujK9o90ZqNnuxYPEJ7N3TmAa1GicuOZ6n9h9qSOPoFejlNVE6psq+/v5Ik/Un4nGKTRIaD06WWqpBHRocZOHAwun39ZbNdCgVCyRT7ZGoX1UhOwLSmHBZqpHbtRGi9O2sRalUJFbBxF9LUA1TkLU0qFY7Js485rrjDo70Q34q1zbZFrLZLKmwTPyqHVtJ6umGEVA9cHxQm6VFTWS6yYXgg1prRRtVkJTX91oa1Oh8UHttDWqzhZH5i47n0KFDFAqWD121BYWXAF5LKO/JpFk8v5/tBw431tAA9Pb1RhoolYgozZQXVpop/8Jw0IwEtRgaHGThokWBP1cpe0Qhb6WZmvEdPhaxUZj3c5MTQGJGjs2gqZgASvnGNKiVhDlHOA0ipAYV2qqhpRLxWHzW9Wm2FrWWD2qtiH5n4Zq3TfztwOTkZGhtKZWKJs1Uh9AyAVVErheRbNkrLyKvE5H3iMhh+/UPrs8MiMg9IjIuIo+KSPO9tSMgka5s4ofwTCm9PT2MVfmeMEmnU5Ga+FOJBIl4jOxUPtTz1gqUiicSLFy0kAP791c9rhEB4ZQVS3h8V3h5cb3uH3egh5ULNVoTf/N8UOMU8uHeE0EYHDrMwMKFtQ+0cbsteAmelg9qsuL+MBja9IgvX/Px4eGGA6TA0aDOTRN/O+RB1WIR4o2b+KdyWVLpTKAc3VHdo6Gb+JuTDuzQzvwERR9KlIKW2JWfADgUeas6iJY9Tar6EVXNOC/gUuBx4Ajwdvv9+cBrReRq+2M3Y5XmWgZ8BPi2SIP2ptntoq8QXIirV9vavWV8hok/Snp7uhkNGAzz2CNSV6BUOpMhZ+dBHUr2RzJw9UYQyV+OV8Tu0mXL2bPHnx9qPYLqqSuW8viuvYE/55fyPlm5UP1pUOvpTzIep1CaLaAGOZfvcrSpDPkIF0a1GDw8yMCAPwHVT5+KeX/m8GYEHI2P+hdQq7nVaIQm/moc/eWGaNM7lUoMT/nLThClVrVakFQQjXEtH9RynHswzHvRGSOyk5VN/Bu3SiBXGlVtlgb1EyVK/GBsL1tzR9mbH/N8/TZ3lO+P7SNjtelfm9GwTqH1yz1ARBLAl4G3AdcAX1TVx1R1B/AF4NUikrb3Xa+qR1X1TqzVxuXht6exzweNeCxPMxXVZBMkin8gPzJjMHf+97uaTqfSZCM08UOwQKkgfqi1+rhs2bK6AqX8CmSnLF/CbytoUCuluCmnkvDjtZDq75/H8NGjFc/VqKtLPB6nUAjPB9W5Pl7PVSydYcrnfefnegQVyC0Tf20B1a/AHXaQVCOMj1QWUL3MxpX6WCpMkbRN/GFZh8oFz7oLEdjU5boQgga12u/h914sN/HXm6R/KpsNzaxeqV9+FwyWiT8cDWqxVAq9nLkXqlraNjUu61I9bJ0aZ29hpkuaqrIzP8lT+QnGtbjuiakx0VaXwWsz2kJABd4K7FDVB4Gzgc2ufY8C64CTgTFV3e2xL1TquUXKhUpnEq02mYLlxJ6at5DhQwernt/5fCMDeiIWp1inqXX+ec+d7uP6bftmCHFeA+cJS5awZ9eu+hrqk4X9vRw62pjwtH7HxHQglV8hdvmKlezauaPi/kb9/1YcN8D+I8OBP+dcF0cw8Eod48WSpUsbTp1VjVQizlShvryXjgm8/Bq5nze30H7y8b3kI14YOZRf5+GRUR58YD2nn1GhapxNeX/K77vhzRsYyI9w2dolDGiW4xcvbqhdDl7CQCXriNex+7dvI5Y+oep3d28Zn37B7MXeZau66ddJnnXiyqptDRtRrctffXJkx/SrsPNuNm6Vis9UbnKCZQPhpBfzws/YPzE2ihbykOyeESDl4Nx73VvGSd1zJ6l77qx4riMH93PWujW+F8XV8LrOfoXTfKHAvr176B845tvtpQku7Lx7+tW9ZXzWc+UstI8eHWbB/OqliMPk4eywjGmxK1sq8pupMaa0RLZU5JEpy2o1UiokVfV3TWtQB9FyAVWsjLnvBm6wN/UD7tl51N5Wvt29rypx9S+UxeIxXxHHXg//vHMvYSjZPy0kOK8Zk+mqbhIrr6Krf9V06byeE1ayf+dTNb/TzwDldYyz7cjwMPPnzXwwvbRj7gHptLOUgWeexbxzL5nRL6isabxs7RJOPe10nnjs0envKP+eMCam5ccNsGfwiK9zlmsRnOvkDNbOhOoe1Jw2u3+Py9YuYfWaNWzfXvt61Uu8QuWl6TZUMdNVE+YqTQjLV6xgz+7oFhPpZJJcvrKAWmsCdPrhXCe3Zs75XS5b1W09W6m0LxN/FILRp75wK1defCGnn3HG9DUqHyec6+IW5Jw+eT1Pu3ftYvnyFUB1TXaUAZ3Dmzegqjz+0Eby5z9nRslP53+nT24h4dffmZhxrZzrHMtNsGDBQN1t9qMtLTehx+OJGb6AziIgCJMjO2bdf5etXTJ9753Yn6Gru9vXeaNyNUjseZITzziL55w628fSabdznRzBu1yYcxZH8ZFBVq9eE7gNQX/XWr/FUzt2smBgIb3z5k//1l6ULybcZn/neR/Ij3Dg8GGOD+AnHgaqmt1TyMqyRIYtuVEemxpjdbKbHfkJUdXmV63oEKTVGmURuQr4e1V9tv1+E/B+Vf2h/f4FWP6mbwJ+oKrLXJ/9GrBBVb/gcd63AG+x354JbIm0I81nEdC8UO/mYPrUGZg+dQamT53BXOwTzM1+naKqDUUKikgvUFTV5pUM7FDawbnpjcC3XO8fxxIof2i/Px34FbAdWCAiA6o65Nr3Oa+TquqtwK0AIvKQql4QftNbh+lTZ2D61BmYPnUGpk+dw1zsl4g81Og5VDW6sn1zjJaa+MXyVH4ucL9r89eA60RkmYicArwTuENVx4G7gRtFpEtE3gz0AY2VNTEYDAaDwWAwtBWt1qCeCXQBv3Y2qOp9InI78AhQAD6hqj+2d78D+AowhKVpvUY1gIOpwWAwGAwGg6HtaamAqqqPALM8nlX1w8CHPbYfAF5Yx1fdWsdn2h3Tp87A9KkzMH3qDEyfOoe52K+52Ke2peVBUgaDwWAwGAwGg5uWp5kyGAwGg8FgMBjczGkBVUReJCJbRWRcRL4pIo0Xkm4yIvIGEdkuImMi8oAdOObe/1ERua9V7WsUETlDRHIicoId/PZlERkUkSMi8lURmZ1wtg0RketFJFv2yovI60Xk03afBkXkK510H4rIdfb9NywitzqlhUXkda7t3xGR6DKUh4SI/ERELrT/7xaR20RkRET2i8jNIpK0960RkQ0iMikiPxOR01rb8sq4+1S23XNcEIsHReR9zWlhcMr7VOleE5FnisjPRWRCRLbZgbNtS9n9N09EviEiR+22v9J13AUi8gv7/ntMRF7aulZ7U21eEpG1IvJY2fEZe2wfEZHdIvKO5re6OkHnWhEZEJF7bPniUREJpyyaYZo5K6CKyALgTuBvgeWA4OHX2s6IyElYabT+AjgOuA/4umv/uVhFDjoSEYlj1R5O2ZveDiwB1gAn2v93RP9U9SOqmnFewKVYgXx9wMuAi4C19vsPta6l/hGRi4DrgZdgtf1k4L0i8gzg08BrsJ6tFPCeVrWzFvZC9YuAewJ5H3AqVqq6ZwDPAq6z990OPAAsBr6NNY60FRX65OyrNi78JXBxlG2rF68+1bjXbge+hFWs5TXAZ0VkVVMb7YMK1+omoIjVp9cD/2oLdoJ1z/0HVh7RvwK+IiKNl3MKiUrzki10vwkrbWR5Wb6PAgNYY/uLgQ+VC4CtpM659mbgILAMK1f7t50FvCEc5qyAClwFPKyqd6nqEeATwKtb3KagXA6sV9V77aS+/wicY6/ckljCXSc7bb8L2Oh6X8Aa2JwyKHGsjA0dhYgkgC8Db8OalD6vqr9V1WHgFuCKVrYvAFdjpXh7VFUHsQbkV2IVzfiiqv5UVUexchnf3sJ21uISrIBQd/7BFwA3qepuVd0P/BtwhYisBM4FPqSqI8CngNUicmqzG10Drz5RbVwQkdVYZaW/E33z6sKrT9XutQLHxooYMAVM0H549etq4GOqOqaqG4AfA3+ItQhcgJW9ZlxV/xurpPdzmtvkqnjOS1hKhYuA/e6DxaoW+SbgHao6qKq/xvpNDjW32VUJNNeKSBq4BrheVY+q6p1Y/bm8BW2fs8xlAfVsYLPr/RZgsVhVHDqFu7BW0A7nYw3AI8DfYeWPfbgF7WoYETkZa7L5gGvz57BWr0PAoP3/l5rfuoZ5K7BDVR/E6t9trn0XAHtb0ag6SAHuuqGCpQE5H4iJyMMichj4JBBdrdQGUdUPqOq1WPeUw7XAD1zvnetyDvCYqubsz5awNOHrmtRcX1ToE1QfF76EZVFqy0ThFfpU7V67DvhnIA/8L/ApVW0noQeo2K9Kz9Yu4BL7vkNE+rGE1nYaMyrNS7+2+3lT2fEnYi0kXmmb97cB57oK7rQDQefak4ExVd3t2vYobTZOdDpzWUDtB4adN/aEU7C3dwSqekBVtwOIyCuA73LMNPkq4MaWNa4B7BX1v2GtqMddu/4ea/JcgmX6GqHz3DJiWKagGwBU9UlVHRSRpIh8AGuw+2Ar2xiA/wZeJSKrRWQRlgtGHMv0eA2WNvVkYCUd4rbgYGuFR0WkR0Q+C7wcS/iZMW7YjNIB44aInEmFcUGs0s8HVPWeZrerQTzvNZeV4v1YqQpfBLxfRM5qVUMD8t/AO8Tyu78UuBKIq+qEnX4RETkbeBB4QFU3VjlXU6k0L1WpKb8Iy7VpGdY1fB1wi+2+0RbUMdd27DjRScxlAfUoVhEAAGzfkARwpGUtqgMRWSQi/4llXn0z8Hng34G/7OBavm8DfqeqPyzbfjWWaWu/qu4BPo418XQSLwUOquomZ4M9EP8Sy5fzOaraEdXPVPV7WELA/wCbsCwSB+3d/2IL30NYPoIdZ9oSkcuBx7D8a89T1acoGzdsumnzccNeGHmOCyKyDHgvVlW+TsTrXjsH6FPVm1R1UlV/ANyL5brRCfwVsBpLM/oJLJ/Hg2C5CInIR4ENWH6QbeeaVj4vqeotPj52gy2A/y/wfeB5kTYyIAHn2o4cJzqNVleSipLHsfxQHU4DtnaSUCdWBPsGLPPVqao6JiLzsHzk7rX86YljmcD2q+oJrWttIJ4PvFRE3APvdiwTiZs8ME5n8UasIAEAbI3OA1jBRrdoByUeFpG1wHfswhnYARBLsHzkkq5DY0DHPFdgBa5gTf5vVdVvuHb9FjhNRGKqWrIFv1NwVbtrU/qoMC4AbwFWALvsfUmgJCLnqeorK5yvXdiO9702AVZWAtcz1UnjxTrgT+z4CETkQeCn9r7b7P3n2IumtsJrXqrxke3237YdM4LOtVhuCwtEZMDlqnA6lpuaISTmsgb1LuBSEbnUjuj/GHBHi9sUlNcC+1T1Tc4goKrDqpp0RYv/GfDDDhJOUdVXqGra1QewtAnfwYoSXyIixwF/gxXN2hHYEbjPxfJXcvg74DOq+tlOEk5tzge+JSKL7Yjb92EFC3wduE5EThWRAaxgt29UOU878kHgr8uEU1T1SeAJ4F0i0oXlQ7zF1ui3LdXGBVW9W1VTrn1fAT7QAcIpVL7XtmL5dP6NbSa/BCv4sFNcGN4HvE+sdGdvAJYC99vR5C8Bfq8dhVObWfNSNVR1H5arwsdFpNfODvJc4HsRtzMIgeZa2zXtbuBG+/57M9YisSOsY53CnBVQ1Yo6fgNWxOcuLPPJx1vaqOCcDTxPRAplr7ZLpRISn8R6wDdjBbX9Csvc0imciWX2cWvbzgY+UHb9nmxN8wLzH1jC9m+wJphbVPV+LA3PF1z7NmFlJ+gkzga+VHZdnIXF64E/wgrWuwJrHDG0htvwuNdsf8ersVyADmJFWP+JqrZtsF4Zf40VyX4Yy9z/clXNY7kuzAcOl92br29hW8upZ156FbAQ2IN1rV6jqu0U+FVPn96B5aM6hJW+7RpVLTajsU8XTKlTg8FgMBgMBkNbMWc1qAaDwWAwGAyGzsQIqAaDwWAwGAyGtsIIqAaDwWAwGAyGtsIIqAaDwWAwGAyGtsIIqAaDwWAwGAyGtsIIqAaDwWAwGAyGtsIIqAaDYU4iIs8Xkcdb3Q6DwWAwBMcIqAaDwRAAEYm3ug0Gg8Ew1zECqsFgmMvEROTzIjIuIk+JyEUikhCRm0Rkn4jsEZEb7DK1iMh2EbnQ+bDzXkRWi8h+EfkIcKhlvTEYDIanCUZANRgMc5mTgO3AIuAO4EPA3wLPBp4BXAy8ArjWx7mOBxJYddMNBoPBECFGQDUYDHOZEeAmVZ0E7gFWA28AblTVA6q6Hfh/WEKqHz6kqtkoGmowGAyGYyRa3QCDwWCIkP2qqvb/RawxbxnwpOuYQ1jaUS/ci/gpVZ0Iv4kGg8FgKMdoUA0Gw1xGPbYdApa73jtuAAAl7HHRDoZaGGXjDAaDweCNEVANBsPTjW8BN4jIQhFZA7wduN3etxu4wP7/1UB3C9pnMBgMT3uMgGowGJ5u3ADsBbYCPwPuVNW77H1/A7xFRB4Bng9saUkLDQaD4WmOHHPPMhgMBoPBYDAYWo/RoBoMBoPBYDAY2gojoBoMBoPBYDAY2gojoBoMBoPBYDAY2gojoBoMBoPBYDAY2gojoBoMBoPBYDAY2gojoBoMBoPBYDAY2gojoBoMBoPBYDAY2gojoBoMBoPBYDAY2gojoBoMBoPBYDAY2or/A3LVT4SgR00TAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "# contour_plot1 = ax1.pcolormesh(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# cmap=cmocean.cm.balance_r, vmin=-.2, vmax=.2)\n", + "\n", + "levels = numpy.arange(-.15,.151,0.0125)\n", + "contour_plot1 = ax1.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1000,300)\n", + "ax1.set_xlim(0,240)\n", + "ax1.set_xticks([i for i in range(0,241,24)])\n", + "ax1.set_yticks([400,600,800,1000])\n", + "#ax1.set_xlabel('hour', fontsize=fontsize)\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "# contour_plot2 = ax2.pcolormesh(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_diff_dry_latlon_areamean.T, \\\n", + "# cmap=cmocean.cm.balance_r, vmin=-.05, vmax=.05)\n", + "\n", + "levels = numpy.arange(-0.05,0.051,0.01)\n", + "\n", + "contour_plot2 = ax2.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "contour_line2 = ax2.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1000,300)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(0,240)\n", + "#ax2.set_xlabel('hour', fontsize=fontsize)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(0,241,24)])\n", + "ax2.set_yticks([400,600,800,1000])\n", + "\n", + "# ax2.add_patch(matplotlib.patches.Rectangle((12,600),8,-300, \\\n", + "# fill=False, \\\n", + "# edgecolor='0.1', lw=2, clip_on=False))\n", + "\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "# contour_plot3 = ax3.pcolormesh(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_diff_dry_latlon_areamean.T, \\\n", + "# cmap=cmocean.cm.balance_r, vmin=-.05, vmax=.05)\n", + "\n", + "levels = numpy.arange(-0.015,0.0151,0.0025)\n", + "\n", + "contour_plot3 = ax3.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "\n", + "contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(700,300)\n", + "#ax.set_xlim(0,240)\n", + "ax3.set_xlim(0,240)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(0,241,24)])\n", + "ax3.set_yticks([300,400,500,600,700])\n", + "\n", + "\n", + "ax1.text(s='(a) control dMSE/dt', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dMSE/dt', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ dMSE/dt zoom', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "cbar_ax1 = fig.add_axes([ax1pos.x1+0.02, ax1pos.y0, 0.02, ax1pos.height])\n", + "cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "cbar_ax1.tick_params(labelsize=fontsize)\n", + "cbar1.add_lines(contour_line1)\n", + "cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax2 = fig.add_axes([ax2pos.x1+0.02, ax2pos.y0, 0.02, ax2pos.height])\n", + "cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "cbar_ax2.tick_params(labelsize=fontsize)\n", + "cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.02, ax3pos.y0, 0.02, ax3pos.height])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.01,0,.01])\n", + "\n", + "# conpatch = matplotlib.patches.ConnectionPatch(xyA=(0,300), \\\n", + "# xyB=(0,600), \\\n", + "# coordsA='data', \\\n", + "# coordsB='data', \\\n", + "# axesA=ax3, \\\n", + "# axesB=ax2, \\\n", + "# color='0.1')\n", + "# ax3.add_artist(conpatch)\n", + "\n", + "# conpatch = matplotlib.patches.ConnectionPatch(xyA=(120,300), \\\n", + "# xyB=(120,600), \\\n", + "# coordsA='data', \\\n", + "# coordsB='data', \\\n", + "# axesA=ax3, \\\n", + "# axesB=ax2, \\\n", + "# color='0.1')\n", + "\n", + "# ax3.add_artist(conpatch)\n", + "\n", + "fig.savefig('dmsedt_profile_first_10days.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 198, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-29T18:21:49.806779Z", + "start_time": "2018-06-29T18:20:54.771128Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,10))\n", + "\n", + "##################################################\n", + "ax1 = fig.add_subplot(511)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-.15,.151,0.0125)\n", + "contour_plot1 = ax1.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1000,300)\n", + "ax1.set_xlim(0,240)\n", + "ax1.set_xticks([i for i in range(0,241,24)])\n", + "ax1.set_yticks([400,600,800,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "##################################################\n", + "ax2 = fig.add_subplot(512)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.05,0.051,0.01)\n", + "contour_plot2 = ax2.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "contour_line2 = ax2.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1000,300)\n", + "ax2.set_xlim(0,240)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(0,241,24)])\n", + "ax2.set_yticks([400,600,800,1000])\n", + "\n", + "\n", + "##################################################\n", + "ax3 = fig.add_subplot(513)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.015,0.0151,0.0025)\n", + "contour_plot3 = ax3.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(700,300)\n", + "ax3.set_xlim(0,240)\n", + "#ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(0,241,24)])\n", + "ax3.set_yticks([300,400,500,600,700])\n", + "\n", + "\n", + "##################################################\n", + "ax4 = fig.add_subplot(514)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.015,0.0151,0.0025)\n", + "contour_plot4 = ax4.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " advection_400_dry_latlon_areamean.T, \\\n", + " levels=levels, \\\n", + " cmap=cmocean.cm.balance_r, extend='both')\n", + "contour_line4 = ax4.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax4.set_ylim(1000,300)\n", + "ax4.set_xlim(0,240)\n", + "#ax4.set_xlabel('hour', fontsize=fontsize)\n", + "ax4.set_ylabel('hPa', fontsize=fontsize)\n", + "ax4.set_xticks([i for i in range(0,241,24)])\n", + "ax4.set_yticks([400,600,800,1000])\n", + "\n", + "\n", + "##################################################\n", + "ax5 = fig.add_subplot(515)\n", + "ax5.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.015,0.0151,0.0025)\n", + "contour_plot5 = ax5.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " convergence_400_dry_latlon_areamean.T, \\\n", + " levels=levels, \\\n", + " cmap=cmocean.cm.balance_r, extend='both')\n", + "contour_line5 = ax5.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax5.set_ylim(1000,300)\n", + "ax5.set_xlim(0,240)\n", + "ax5.set_xlabel('hour', fontsize=fontsize)\n", + "ax5.set_ylabel('hPa', fontsize=fontsize)\n", + "ax5.set_xticks([i for i in range(0,241,24)])\n", + "ax5.set_yticks([400,600,800,1000])\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ax1.text(s='(a) control dMSE/dt', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dMSE/dt', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ dMSE/dt zoom', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ MSE advection', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "ax5.text(s='(e) $\\Delta$ MSE convergence', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "cbar_ax1 = fig.add_axes([ax1pos.x1+0.02, ax1pos.y0, 0.02, ax1pos.height])\n", + "cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "cbar_ax1.tick_params(labelsize=fontsize)\n", + "cbar1.add_lines(contour_line1)\n", + "cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax2 = fig.add_axes([ax2pos.x1+0.02, ax2pos.y0, 0.02, ax2pos.height])\n", + "cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "cbar_ax2.tick_params(labelsize=fontsize)\n", + "cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.02, ax3pos.y0, 0.02, ax3pos.height])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.01,0,.01])\n", + "\n", + "ax4pos = ax4.get_position()\n", + "cbar_ax4 = fig.add_axes([ax4pos.x1+0.02, ax4pos.y0, 0.02, ax4pos.height])\n", + "cbar4 = fig.colorbar(contour_plot4, cax=cbar_ax4)\n", + "cbar_ax4.tick_params(labelsize=fontsize)\n", + "cbar4.add_lines(contour_line4)\n", + "cbar4.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar4.set_ticks([-.01,0,.01])\n", + "\n", + "ax5pos = ax5.get_position()\n", + "cbar_ax5 = fig.add_axes([ax5pos.x1+0.02, ax5pos.y0, 0.02, ax5pos.height])\n", + "cbar5 = fig.colorbar(contour_plot5, cax=cbar_ax5)\n", + "cbar_ax5.tick_params(labelsize=fontsize)\n", + "cbar5.add_lines(contour_line5)\n", + "cbar5.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar5.set_ticks([-.01,0,.01])\n", + "\n", + "fig.savefig('dmsedt_profile_first_10days_with_advection_convergence_terms.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot climatological moisture advection/convergence" + ] + }, + { + "cell_type": "code", + "execution_count": 178, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-25T23:46:06.245740Z", + "start_time": "2018-06-25T23:45:49.151224Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(4.5,6))\n", + "\n", + "ax_list = []\n", + "\n", + "#####\n", + "ax = fig.add_subplot(221)\n", + "\n", + "ax.plot(advection_400_wet_region_day1*1000.*86400.,ptot_400_wet_region_midpoints/100., c='green', label='moist. adv.')\n", + "ax.plot(convergence_400_wet_region_day1*1000.*86400.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='moist. conv.')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-10,10)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('g kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(a)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(222)\n", + "\n", + "ax.plot(advection_400_dry_region_day1*1000.*86400.,ptot_400_wet_region_midpoints/100., c='green', label='mse\\nadvection')\n", + "ax.plot(convergence_400_dry_region_day1*1000.*86400.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='mse\\nconvergence')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-5,5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('g kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax_list.append(ax)\n", + "ax.text(s='Amazon\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(b)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "\n", + "#####\n", + "ax = fig.add_subplot(223)\n", + "\n", + "ax.plot(advection_400_wet_region*1000.*86400.,ptot_400_wet_region_midpoints/100., c='green', label='mse\\nadvection')\n", + "ax.plot(convergence_400_wet_region*1000.*86400.,ptot_400_wet_region_midpoints/100.,c='dodgerblue', label='mse\\nconvergence')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-10,10)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('g kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(c)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(224)\n", + "\n", + "ax.plot(advection_400_dry_region*1000.*86400.,ptot_400_dry_region_midpoints/100., c='green', label='mse\\nadvection')\n", + "ax.plot(convergence_400_dry_region*1000.*86400.,ptot_400_dry_region_midpoints/100.,c='dodgerblue', label='mse\\nconvergence')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-5,5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('g kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax.text(s='Amazon\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(d)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=1)\n", + "\n", + "handles, labels = ax_list[1].get_legend_handles_labels()\n", + "legend = ax_list[1].legend(handles, labels, fontsize=fontsize, bbox_to_anchor=(1.05,1), edgecolor='None', \\\n", + " facecolor='None', fancybox=False, bbox_transform=ax_list[1].transAxes, loc='upper left', \\\n", + " borderaxespad=0., borderpad=0.25, handlelength=1.0, handletextpad=0.5, \\\n", + " columnspacing=0.5, markerscale=1)\n", + "\n", + "fig.savefig('manuscript_figXX_climatological_mse_budget_TOTAL_10d_and_day1.png', dpi=600, \\\n", + " transparent=True, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot individual conv, div, dmsedt terms" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-17T04:26:02.610731Z", + "start_time": "2018-06-17T04:25:43.565001Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(4.5,6))\n", + "\n", + "ax_list = []\n", + "\n", + "#####\n", + "ax = fig.add_subplot(221)\n", + "\n", + "ax.plot(diff_wet_region_adv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moist. adv.')\n", + "ax.plot(diff_wet_region_conv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='moist. conv.')\n", + "ax.plot(diff_wet_region_dmsedt_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='0.5', label='dmse/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(a)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(222)\n", + "\n", + "ax.plot(diff_dry_region_adv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='mse\\nadvection')\n", + "ax.plot(diff_dry_region_conv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='mse\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='0.5', label='dmse/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax_list.append(ax)\n", + "ax.text(s='Amazon\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(b)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "\n", + "#####\n", + "ax = fig.add_subplot(223)\n", + "\n", + "ax.plot(diff_wet_region_adv*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='mse\\nadvection')\n", + "ax.plot(diff_wet_region_conv*86400./1000.,ptot_400_wet_region_midpoints/100.,c='dodgerblue', label='mse\\nconvergence')\n", + "ax.plot(diff_wet_region_dmsedt*86400./1000.,ptot_400_wet_region_midpoints/100.,c='0.5', label='dmse/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(c)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(224)\n", + "\n", + "ax.plot(diff_dry_region_adv*86400./1000.,ptot_400_dry_region_midpoints/100., c='green', label='mse\\nadvection')\n", + "ax.plot(diff_dry_region_conv*86400./1000.,ptot_400_dry_region_midpoints/100.,c='dodgerblue', label='mse\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt*86400./1000.,ptot_400_dry_region_midpoints/100.,c='0.5',label='dmse/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax.text(s='Amazon\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(d)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=1)\n", + "\n", + "handles, labels = ax_list[1].get_legend_handles_labels()\n", + "legend = ax_list[1].legend(handles, labels, fontsize=fontsize, bbox_to_anchor=(1.05,1), edgecolor='None', \\\n", + " facecolor='None', fancybox=False, bbox_transform=ax_list[1].transAxes, loc='upper left', \\\n", + " borderaxespad=0., borderpad=0.25, handlelength=1.0, handletextpad=0.5, \\\n", + " columnspacing=0.5, markerscale=1)\n", + "\n", + "fig.savefig('manuscript_figXX_mean_mse_budget_TOTAL_10d_and_day1.png', dpi=600, \\\n", + " transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-17T04:26:11.992475Z", + "start_time": "2018-06-17T04:26:02.634271Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(4.5,3))\n", + "\n", + "ax_list = []\n", + "\n", + "#####\n", + "ax = fig.add_subplot(121)\n", + "\n", + "ax.plot(diff_wet_region_adv*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_wet_region_conv*86400./1000.,ptot_400_wet_region_midpoints/100.,c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_wet_region_dmsedt*86400./1000.,ptot_400_wet_region_midpoints/100.,c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(a)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(122)\n", + "\n", + "ax.plot(diff_dry_region_adv*86400./1000.,ptot_400_dry_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_dry_region_conv*86400./1000.,ptot_400_dry_region_midpoints/100.,c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt*86400./1000.,ptot_400_dry_region_midpoints/100.,c='0.5',label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax.text(s='Amazon\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(b)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=1)\n", + "\n", + "handles, labels = ax_list[1].get_legend_handles_labels()\n", + "legend = ax_list[1].legend(handles, labels, fontsize=fontsize, bbox_to_anchor=(1.05,1), edgecolor='None', \\\n", + " facecolor='None', fancybox=False, bbox_transform=ax_list[1].transAxes, loc='upper left', \\\n", + " borderaxespad=0., borderpad=0.25, handlelength=1.0, handletextpad=0.5, \\\n", + " columnspacing=0.5, markerscale=1)\n", + "\n", + "fig.savefig('manuscript_figXX_mean_mse_budget_TOTAL_10d_ONLY.png', dpi=600, \\\n", + " transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Do same for vertical terms" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-17T04:28:30.712447Z", + "start_time": "2018-06-17T04:28:12.945972Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(4.5,6))\n", + "\n", + "ax_list = []\n", + "\n", + "#####\n", + "ax = fig.add_subplot(221)\n", + "\n", + "ax.plot(diff_wet_region_vert_adv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moist. adv.')\n", + "ax.plot(diff_wet_region_vert_conv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='moist. conv.')\n", + "ax.plot(diff_wet_region_dmsedt_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(a)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(222)\n", + "\n", + "ax.plot(diff_dry_region_vert_adv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_dry_region_vert_conv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax_list.append(ax)\n", + "ax.text(s='Amazon\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(b)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "\n", + "#####\n", + "ax = fig.add_subplot(223)\n", + "\n", + "ax.plot(diff_wet_region_vert_adv*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_wet_region_vert_conv*86400./1000.,ptot_400_wet_region_midpoints/100.,c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_wet_region_dmsedt*86400./1000.,ptot_400_wet_region_midpoints/100.,c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(c)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(224)\n", + "\n", + "ax.plot(diff_dry_region_vert_adv*86400./1000.,ptot_400_dry_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_dry_region_vert_conv*86400./1000.,ptot_400_dry_region_midpoints/100.,c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt*86400./1000.,ptot_400_dry_region_midpoints/100.,c='0.5',label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax.text(s='Amazon\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(d)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=1)\n", + "\n", + "handles, labels = ax_list[1].get_legend_handles_labels()\n", + "legend = ax_list[1].legend(handles, labels, fontsize=fontsize, bbox_to_anchor=(1.05,1), edgecolor='None', \\\n", + " facecolor='None', fancybox=False, bbox_transform=ax_list[1].transAxes, loc='upper left', \\\n", + " borderaxespad=0., borderpad=0.25, handlelength=1.0, handletextpad=0.5, \\\n", + " columnspacing=0.5, markerscale=1)\n", + "\n", + "axpos1 = ax_list[0].get_position()\n", + "axpos2 = ax_list[1].get_position()\n", + "\n", + "fig.text(s='vertical terms', x=0.5*(axpos1.x0+axpos2.x1), y=1.02, transform=fig.transFigure, ha='center', va='bottom', fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figXX_mean_mse_budget_VERTICAL_10d_and_day1.png', dpi=600, \\\n", + " transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# horizontal terms" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:35:56.630925Z", + "start_time": "2018-05-30T22:35:53.086002Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(4.5,6))\n", + "\n", + "ax_list = []\n", + "\n", + "#####\n", + "ax = fig.add_subplot(221)\n", + "\n", + "ax.plot(diff_wet_region_horiz_adv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moist. adv.')\n", + "ax.plot(diff_wet_region_horiz_conv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='moist. conv.')\n", + "ax.plot(diff_wet_region_dmsedt_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(a)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(222)\n", + "\n", + "ax.plot(diff_dry_region_horiz_adv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_dry_region_horiz_conv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax_list.append(ax)\n", + "ax.text(s='Amazon\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(b)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "\n", + "#####\n", + "ax = fig.add_subplot(223)\n", + "\n", + "ax.plot(diff_wet_region_horiz_adv*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_wet_region_horiz_conv*86400./1000.,ptot_400_wet_region_midpoints/100.,c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_wet_region_dmsedt*86400./1000.,ptot_400_wet_region_midpoints/100.,c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(c)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(224)\n", + "\n", + "ax.plot(diff_dry_region_horiz_adv*86400./1000.,ptot_400_dry_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_dry_region_horiz_conv*86400./1000.,ptot_400_dry_region_midpoints/100.,c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt*86400./1000.,ptot_400_dry_region_midpoints/100.,c='0.5',label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax.text(s='Amazon\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(d)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=1)\n", + "\n", + "handles, labels = ax_list[1].get_legend_handles_labels()\n", + "legend = ax_list[1].legend(handles, labels, fontsize=fontsize, bbox_to_anchor=(1.05,1), edgecolor='None', \\\n", + " facecolor='None', fancybox=False, bbox_transform=ax_list[1].transAxes, loc='upper left', \\\n", + " borderaxespad=0., borderpad=0.25, handlelength=1.0, handletextpad=0.5, \\\n", + " columnspacing=0.5, markerscale=1)\n", + "\n", + "axpos1 = ax_list[0].get_position()\n", + "axpos2 = ax_list[1].get_position()\n", + "\n", + "fig.text(s='horizontal terms', x=0.5*(axpos1.x0+axpos2.x1), y=1.02, transform=fig.transFigure, ha='center', va='bottom', fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figXX_mean_mse_budget_HORIZONTAL_10d_and_day1.png', dpi=600, \\\n", + " transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# lat subsets and latmeans" + ] + }, + { + "cell_type": "code", + "execution_count": 125, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:36:56.740597Z", + "start_time": "2018-05-30T22:36:56.050145Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_midpoints_lat_subset = ptot_400_midpoints[:,:,lat_indices_midpoints[:,0],:]\n", + "ptot_1000_midpoints_lat_subset = ptot_1000_midpoints[:,:,lat_indices_midpoints[:,0],:]" + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:37:05.799133Z", + "start_time": "2018-05-30T22:37:04.841477Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_lat_subset = ptot_400[:,:,lat_indices[:,0],:]\n", + "ptot_1000_lat_subset = ptot_1000[:,:,lat_indices[:,0],:]" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:37:15.025900Z", + "start_time": "2018-05-30T22:37:14.249742Z" + } + }, + "outputs": [], + "source": [ + "advection_400_lat_subset = advection_400[:,:,lat_indices_midpoints[:,0],:]\n", + "advection_1000_lat_subset = advection_1000[:,:,lat_indices_midpoints[:,0],:]\n", + "\n", + "convergence_400_lat_subset = convergence_400[:,:,lat_indices_midpoints[:,0],:]\n", + "convergence_1000_lat_subset = convergence_1000[:,:,lat_indices_midpoints[:,0],:]" + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:38:06.444073Z", + "start_time": "2018-05-30T22:37:23.641082Z" + } + }, + "outputs": [], + "source": [ + "cont_adv_latmean = numpy.nanmean(advection_400_lat_subset, axis=2)\n", + "phys_adv_latmean = numpy.nanmean(advection_1000_lat_subset, axis=2)\n", + "\n", + "cont_conv_latmean = numpy.nanmean(convergence_400_lat_subset, axis=2)\n", + "phys_conv_latmean = numpy.nanmean(convergence_1000_lat_subset, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:38:16.648532Z", + "start_time": "2018-05-30T22:38:15.116364Z" + } + }, + "outputs": [], + "source": [ + "dmsedt_400_lat_subset = dmsedt_400[:,:,lat_indices_midpoints[:,0],:]\n", + "dmsedt_1000_lat_subset = dmsedt_1000[:,:,lat_indices_midpoints[:,0],:]" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:38:48.150834Z", + "start_time": "2018-05-30T22:38:44.658106Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_latmean = numpy.nanmean(ptot_400_lat_subset, axis=2)\n", + "ptot_1000_latmean = numpy.nanmean(ptot_1000_lat_subset, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 133, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:39:00.635622Z", + "start_time": "2018-05-30T22:38:57.360855Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_midpoints_latmean = numpy.nanmean(ptot_400_midpoints_lat_subset, axis=2)\n", + "ptot_1000_midpoints_latmean = numpy.nanmean(ptot_1000_midpoints_lat_subset, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:39:14.660202Z", + "start_time": "2018-05-30T22:39:09.573412Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + } + ], + "source": [ + "dmsedt_400_latmean = numpy.nanmean(dmsedt_400_lat_subset, axis=2)\n", + "dmsedt_1000_latmean = numpy.nanmean(dmsedt_1000_lat_subset, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 135, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:39:25.402176Z", + "start_time": "2018-05-30T22:39:23.445710Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_midpoints_lat_subset = ptot_400_midpoints[:,:,lat_indices_midpoints[:,0],:]\n", + "ptot_400_midpoints_latmean = numpy.nanmean(ptot_400_midpoints_lat_subset, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:39:34.377567Z", + "start_time": "2018-05-30T22:39:34.371094Z" + } + }, + "outputs": [], + "source": [ + "xx,zz=numpy.meshgrid(xlong[0,:],ptot_400[0,:,:,0].mean(axis=1))" + ] + }, + { + "cell_type": "code", + "execution_count": 137, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:39:43.406345Z", + "start_time": "2018-05-30T22:39:43.356529Z" + } + }, + "outputs": [], + "source": [ + "diff_adv_latmean = phys_adv_latmean-cont_adv_latmean\n", + "diff_conv_latmean = phys_conv_latmean-cont_conv_latmean\n", + "diff_dmsedt_latmean = dmsedt_1000_latmean-dmsedt_400_latmean" + ] + }, + { + "cell_type": "code", + "execution_count": 138, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:39:55.275169Z", + "start_time": "2018-05-30T22:39:52.420913Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + " \n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", + " This is separate from the ipykernel package so we can avoid doing imports until\n" + ] + } + ], + "source": [ + "wa_diffs_lat_subset = wa_diffs_landmask[:,:,lat_indices[:,0],:]\n", + "wa_diffs_latmean = numpy.nanmean(wa_diffs_lat_subset, axis=2)\n", + "wa_diffs_time_latmean = numpy.nanmean(wa_diffs_latmean[24:,:,:], axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:40:04.492103Z", + "start_time": "2018-05-30T22:40:04.463861Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_time_latmean = numpy.nanmean(ptot_400_latmean, axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# gridspec version of plot" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:38:27.719763Z", + "start_time": "2018-05-30T22:38:27.135202Z" + } + }, + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "gs = matplotlib.gridspec.GridSpec(3,2,height_ratios=[2,1,3])\n", + "\n", + "xticks_deg_E=numpy.array((280,290,300,310,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "ax_a = mp.subplot(gs[0,:])\n", + "ax_b = mp.subplot(gs[1,:])\n", + "ax_c = mp.subplot(gs[2,0])\n", + "ax_d = mp.subplot(gs[2,1])\n", + "#ax_e = mp.subplot(gs[3,0])\n", + "#ax_f = mp.subplot(gs[3,1])\n", + "\n", + "ax_list = [ax_a,ax_b,ax_c,ax_d]#,ax_e,ax_f]\n", + "\n", + "\n", + "levels = numpy.arange(-.2,.21,0.025)\n", + "contour_plot = ax_a.contourf(xx+360., ptot_400_time_latmean/100., \\\n", + " wa_diffs_time_latmean*86400./1000., \\\n", + " levels=levels, \\\n", + " cmap='RdBu', \\\n", + " extend='both')\n", + "ax_a.tick_params(labelsize=fontsize)\n", + "ax_a.set_ylim(1013.25,100)\n", + "ax_a.set_xlim(279,321)\n", + "ax_a.text(s='(a) Mean $\\Delta w$ (days 2–10)',\\\n", + " x=0, y=1.01, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax_a.transAxes)\n", + "ax_a.set_xticks(xticks_deg_E)\n", + "ax_a.set_xticklabels(xticks_format)\n", + "ax_a.set_ylabel('hPa', fontsize=fontsize)\n", + "ax_a.set_facecolor('0.1')\n", + "ax_a.fill_between(x=[wet_lon_lo_degE,wet_lon_hi_degE], y1=ax_a.get_ylim()[0], y2=ax_a.get_ylim()[1],\\\n", + " facecolor='None', edgecolor='0.1',\n", + " hatch='/', alpha=0.5)\n", + "ax_a.fill_between(x=[dry_lon_lo_degE,dry_lon_hi_degE], y1=ax_a.get_ylim()[0], y2=ax_a.get_ylim()[1],\\\n", + " facecolor='None', edgecolor='0.1',\n", + " hatch='\\\\', alpha=0.5)\n", + "ax_a.text(s='Andes\\nregion',x=wet_lon_hi_degE+0.5, y=600, ha='left',va='top',fontsize=fontsize,color='0.1')\n", + "ax_a.text(s='Amazon\\nregion',x=dry_lon_hi_degE+0.5, y=400, ha='left',va='top',fontsize=fontsize,color='0.1')\n", + "\n", + "\n", + "ax_b.plot(360+xlong[0,:],pandas.Series(raintot_diffs_latmean_day1*24).rolling(window=3, center=True).mean().values, c='coral', label='day 1')\n", + "ax_b.plot(360+xlong[0,:],pandas.Series(raintot_diffs_latmean_day2_10*24).rolling(window=3, center=True).mean().values, c='firebrick', label='days 2–10')\n", + "ax_b.axhline(0, c='0.1', ls='--')\n", + "ax_b.set_xlim(279,321)\n", + "ax_b.set_ylim(-1.6,1.1)\n", + "ax_b.set_yticks([-1,0,1])\n", + "ax_b.set_xticks(xticks_deg_E)\n", + "ax_b.set_xticklabels(xticks_format)\n", + "ax_b.tick_params(labelsize=fontsize)\n", + "ax_b.text(s='(b) $\\Delta$ precipitation',\\\n", + " x=0, y=1.01, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax_b.transAxes)\n", + "ax_b.set_ylabel('mm day$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "ax=ax_c\n", + "ax.plot(wa_diff_wet_region*86400./1000.,ptot_400_wet_region/100., c='firebrick')\n", + "ax.plot(wa_diff_wet_region_day1*86400./1000.,ptot_400_wet_region/100., c='coral')\n", + "ax.axvline(0, ls='--', c='0.1')\n", + "ax.set_ylim(1000,100)\n", + "ax.set_xlim(-.25,.15)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('km day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='(c) Andes region', x=0., y=1.01, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "#ax.text(s='Andes', x=0.97, y=0.97, ha='right', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.set_yticks(numpy.arange(1000,99,-200))\n", + "ax.set_xticks([-.1,0,.1])\n", + "\n", + "ax=ax_d\n", + "ax.plot(wa_diff_dry_region_day1*86400/1000.,ptot_400_dry_region/100., c='coral', label='$\\Delta w$ (day 1)')\n", + "ax.plot(wa_diff_dry_region*86400/1000.,ptot_400_dry_region/100., c='firebrick', label='$\\Delta w$ (days 2–10)')\n", + "ax.axvline(0, ls='--', c='0.1')\n", + "#ax.axhline(860, ls='--', c='0.1')\n", + "ax.set_ylim(1000,100)\n", + "ax.set_xlim(-.15,.25)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('km day$^{\\,-1}$', fontsize=fontsize)\n", + "#ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='(d) Amazon region', x=0., y=1.01, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "#ax.text(s='Amazon', x=0.97, y=0.97, ha='right', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.set_yticks(numpy.arange(1000,99,-200))\n", + "ax.set_xticks([-.1,0,.1])\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax_pos = ax_a.get_position()\n", + "cbar_ax = fig.add_axes([ax_pos.x1+0.025, ax_pos.y0, 0.02, ax_pos.height])\n", + "cbar = fig.colorbar(contour_plot, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('km day$^{\\,-1}$', fontsize=fontsize)\n", + "cbar.set_ticks(levels[0::4])\n", + "\n", + "handles, labels = ax_b.get_legend_handles_labels()\n", + "ax_b.legend(handles, labels, fontsize=fontsize, scatterpoints=1, bbox_to_anchor=(1.025,1.), \\\n", + " bbox_transform=ax_b.transAxes, loc='upper left', borderaxespad=0, labelspacing=0.25, \\\n", + " fancybox=False, edgecolor='0', framealpha=0, borderpad=0.25, \\\n", + " handletextpad=0.5, markerscale=1, handlelength=1.25)\n", + "\n", + "ax_pos = ax_c.get_position()\n", + "ax_c_in = fig.add_axes([ax_pos.x0,ax_pos.y0+0.2*ax_pos.height,0.35*ax_pos.width,0.7*ax_pos.height])#, frameon=False)\n", + "ax_c_in.plot(wa_400_dry*86400./1000.,ptot_400_wet_region/100., c='0.25', label='10d mean')\n", + "ax_c_in.tick_params(labelsize=fontsize)\n", + "ax_c_in.tick_params(axis='x', pad=0)\n", + "ax_c_in.set_ylim(1000,100)\n", + "ax_c_in.yaxis.tick_right()\n", + "ax_c_in.axvline(0, lw=0.5, color='0.25', ls='-')\n", + "ax_c_in.set_xticks([0.,.2])\n", + "ax_c_in.set_xticklabels(['0','0.2'])\n", + "#ax_c_in.set_xlabel('mm day$^{\\,-1}$', fontsize=fontsize)\n", + "#ax_c_in.text(s='$w$ clim.', x=1., y=1.02, ha='right', va='bottom', transform=ax_c_in.transAxes, fontsize=fontsize)\n", + "\n", + "ax_pos = ax_d.get_position()\n", + "ax_d_in = fig.add_axes([ax_pos.x0+ax_pos.width*0.65,ax_pos.y0+0.2*ax_pos.height,0.35*ax_pos.width,0.7*ax_pos.height])#, frameon=False)\n", + "ax_d_in.plot(wa_400_wet*86400./1000.,ptot_400_wet_region/100., c='0.25', label='$w$ climatology')\n", + "ax_d_in.tick_params(labelsize=fontsize)\n", + "ax_d_in.tick_params(axis='x', pad=0)\n", + "ax_d_in.set_ylim(1000,100)\n", + "#ax_d_in.set_xlabel('mm day$^{\\,-1}$', fontsize=fontsize)\n", + "#ax_d_in.text(s='$w$ clim.', x=0, y=1.02, ha='left', va='bottom', transform=ax_d_in.transAxes, fontsize=fontsize, label='$w$ clim.\\n(days 2–10)')\n", + "ax_d_in.axvline(0, lw=0.5, color='0.25', ls='-')\n", + "\n", + "\n", + "h_out, l_out=ax_d.get_legend_handles_labels()\n", + "h_in, l_in = ax_d_in.get_legend_handles_labels()\n", + "ax_d.legend(h_out+h_in, l_out+l_in, fontsize=fontsize, scatterpoints=1, bbox_to_anchor=(1.05,1.), \\\n", + " bbox_transform=ax_d.transAxes, loc='upper left', borderaxespad=0, labelspacing=0.25, \\\n", + " fancybox=False, edgecolor='0', framealpha=0, borderpad=0.25, \\\n", + " handletextpad=0.5, markerscale=1, handlelength=1.25)\n", + "\n", + "fig.savefig('manuscript_fig4_winds_precip.png', dpi=600, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Plot dmsedt and moisture convergence in lat means" + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:46:33.738939Z", + "start_time": "2018-05-30T22:46:33.707410Z" + } + }, + "outputs": [], + "source": [ + "dmsedt_diff_latmean = dmsedt_1000_latmean - dmsedt_400_latmean" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:46:43.178764Z", + "start_time": "2018-05-30T22:46:43.171944Z" + } + }, + "outputs": [], + "source": [ + "xx_midpoints = 0.5*(xx[1:,1:]+xx[:-1,:-1])\n", + "\n", + "ptot_400_time_latmean_midpoints = 0.5*(ptot_400_time_latmean[1:,1:]+\\\n", + " ptot_400_time_latmean[:-1,:-1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# dmsedt and convergence terms on day 1" + ] + }, + { + "cell_type": "code", + "execution_count": 143, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:48:13.302340Z", + "start_time": "2018-05-30T22:48:08.445616Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "xlong_min = -154.76123\n", + "xlong_max = -25.238678\n", + "\n", + "levels = numpy.arange(-3,3.1,0.5)\n", + "\n", + "fig = mp.figure(figsize=(6.5,3.5))\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "ax_list = []\n", + "\n", + "hour1 = 13\n", + "hour1_string = hour1-4+1\n", + "\n", + "hour2 = 14\n", + "hour2_string = hour2-4+1\n", + "\n", + "ax = fig.add_subplot(221)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " dmsedt_diff_latmean[hour1,:,:]*86400./1000., cmap='RdBu',\\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(a) dq/dt for hour '+'{:02d}'.format(hour1_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(222)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_conv_latmean[hour1,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(b) moist. converg. for hour '+'{:02d}'.format(hour1_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(223)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " dmsedt_diff_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(c) dq/dt for hour '+'{:02d}'.format(hour2_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(224)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_conv_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(d) moist. converg. for hour '+'{:02d}'.format(hour2_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "axpos_bl = ax_list[2].get_position()\n", + "axpos_br = ax_list[3].get_position()\n", + "\n", + "cbar_ax = fig.add_axes([axpos_bl.x0, axpos_bl.y0-0.175, axpos_br.x1-axpos_bl.x0, 0.045])\n", + "cbar = fig.colorbar(contour_plot, cax=cbar_ax, orientation='horizontal')\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "fig.savefig('dmsedt_and_mse_convergence_hours_'+\\\n", + " '{:02d}'.format(hour1_string)+\\\n", + " 'and'+'{:02d}'.format(hour2_string)+'.png',\\\n", + " dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 144, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:48:28.906857Z", + "start_time": "2018-05-30T22:48:25.726023Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "xlong_min = -154.76123\n", + "xlong_max = -25.238678\n", + "\n", + "levels = numpy.arange(-3,3.1,0.5)\n", + "\n", + "fig = mp.figure(figsize=(6.5,3.5))\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "ax_list = []\n", + "\n", + "hour1 = 13\n", + "hour1_string = hour1-4+1\n", + "\n", + "hour2 = 14\n", + "hour2_string = hour2-4+1\n", + "\n", + "ax = fig.add_subplot(221)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " dmsedt_diff_latmean[hour1,:,:]*86400./1000., cmap='RdBu',\\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(a) dq/dt for hour '+'{:02d}'.format(hour1_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(222)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_adv_latmean[hour1,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(b) moist. converg. for hour '+'{:02d}'.format(hour1_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(223)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " dmsedt_diff_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(c) dq/dt for hour '+'{:02d}'.format(hour2_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(224)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_adv_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(d) moist. converg. for hour '+'{:02d}'.format(hour2_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "axpos_bl = ax_list[2].get_position()\n", + "axpos_br = ax_list[3].get_position()\n", + "\n", + "cbar_ax = fig.add_axes([axpos_bl.x0, axpos_bl.y0-0.175, axpos_br.x1-axpos_bl.x0, 0.045])\n", + "cbar = fig.colorbar(contour_plot, cax=cbar_ax, orientation='horizontal')\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "fig.savefig('dmsedt_and_mse_advection_hours_'+\\\n", + " '{:02d}'.format(hour1_string)+\\\n", + " 'and'+'{:02d}'.format(hour2_string)+'.png',\\\n", + " dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:49:26.357631Z", + "start_time": "2018-05-30T22:49:26.099040Z" + } + }, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'numpy' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mxlong_max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m25.238678\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mlevels\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m10.1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0mfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m8\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3.5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mNameError\u001b[0m: name 'numpy' is not defined" + ] + } + ], + "source": [ + "fontsize=12\n", + "\n", + "xlong_min = -154.76123\n", + "xlong_max = -25.238678\n", + "\n", + "levels = numpy.arange(-10,10.1,2)\n", + "\n", + "fig = mp.figure(figsize=(8,3.5))\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "ax_list = []\n", + "\n", + "hour1 = 13\n", + "hour1_string = hour1-4+1\n", + "\n", + "hour2 = 14\n", + "hour2_string = hour2-4+1\n", + "\n", + "ax = fig.add_subplot(231)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " dmsedt_diff_latmean[hour1,:,:]*86400./1000., cmap='RdBu',\\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(a) dq/dt', x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='hour '+'{:02d}'.format(hour1_string), x=0.95, y=0.91, \\\n", + " ha='right', va='top', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(232)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_conv_latmean[hour1,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(b) moisture convergence', x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='hour '+'{:02d}'.format(hour1_string), x=0.95, y=0.91, \\\n", + " ha='right', va='top', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "\n", + "\n", + "ax = fig.add_subplot(233)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_adv_latmean[hour1,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(c) moisture advection', x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='hour '+'{:02d}'.format(hour1_string), x=0.95, y=0.91, \\\n", + " ha='right', va='top', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ax = fig.add_subplot(234)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " dmsedt_diff_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(d) dq/dt', x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='hour '+'{:02d}'.format(hour2_string), x=0.95, y=0.91, \\\n", + " ha='right', va='top', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "\n", + "ax = fig.add_subplot(235)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_conv_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(e) moisture convergence', x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='hour '+'{:02d}'.format(hour2_string), x=0.95, y=0.91, \\\n", + " ha='right', va='top', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "\n", + "ax = fig.add_subplot(236)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_adv_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(f) moisture advection', x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='hour '+'{:02d}'.format(hour2_string), x=0.95, y=0.91, \\\n", + " ha='right', va='top', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "axpos_bl = ax_list[3].get_position()\n", + "axpos_br = ax_list[5].get_position()\n", + "\n", + "cbar_ax = fig.add_axes([axpos_bl.x0, axpos_bl.y0-0.175, axpos_br.x1-axpos_bl.x0, 0.045])\n", + "cbar = fig.colorbar(contour_plot, cax=cbar_ax, orientation='horizontal')\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "fig.savefig('dmsedt_and_mse_convergence_and_advection_hours_'+\\\n", + " '{:02d}'.format(hour1_string)+\\\n", + " 'and'+'{:02d}'.format(hour2_string)+'.png',\\\n", + " dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/.ipynb_checkpoints/gp1_calculations_for_SENSITIVITY_RUNS-checkpoint.ipynb b/.ipynb_checkpoints/gp1_calculations_for_SENSITIVITY_RUNS-checkpoint.ipynb new file mode 100644 index 0000000..c2dab1b --- /dev/null +++ b/.ipynb_checkpoints/gp1_calculations_for_SENSITIVITY_RUNS-checkpoint.ipynb @@ -0,0 +1,5760 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import libraries" + ] + }, + { + "cell_type": "code", + "execution_count": 403, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:41:20.032324Z", + "start_time": "2018-08-10T17:41:20.001458Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import matplotlib.colors\n", + "import scipy.stats\n", + "import itertools\n", + "import string\n", + "import matplotlib.patches\n", + "import glob\n", + "import matplotlib.gridspec\n", + "import scipy.ndimage\n", + "\n", + "import wrf\n", + "import netCDF4\n", + "import cmocean\n", + "\n", + "import pandas\n", + "\n", + "import matplotlib.ticker\n", + "import cartopy.mpl.gridliner #import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n", + "\n", + "import mpl_toolkits\n", + "import cartopy\n", + "import cartopy.io.shapereader\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 404, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:41:26.549976Z", + "start_time": "2018-08-10T17:41:26.541988Z" + } + }, + "outputs": [], + "source": [ + "run_info = 'FMAASO'\n", + "skip_time=0" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# opening mean fields" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## control data" + ] + }, + { + "cell_type": "code", + "execution_count": 405, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:41:31.001622Z", + "start_time": "2018-08-10T17:41:30.777382Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "001 001_with_extras 001_with_xkzs 001_with_xkzs_and_fxpbls\r\n" + ] + } + ], + "source": [ + "!ls /beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/" + ] + }, + { + "cell_type": "code", + "execution_count": 406, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:41:31.273643Z", + "start_time": "2018-08-10T17:41:31.183598Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_with_extras'\n", + "file_list = sorted(glob.glob(root_dir+'/'+'wrfout*'))\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 407, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:44:46.476516Z", + "start_time": "2018-08-10T17:41:31.338039Z" + } + }, + "outputs": [], + "source": [ + "ptot_400 = wrf.getvar(ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_ptot_400_sensitivity.npy', ptot_400)\n", + "\n", + "geopot_400 = wrf.getvar(ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_geopot_400_sensitivity.npy', geopot_400)\n", + "\n", + "tk_400 = wrf.getvar(ds_list, 'tk', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_tk_400_sensitivity.npy', tk_400)\n", + "\n", + "ua_400 = wrf.getvar(ds_list, 'ua', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_ua_400_sensitivity.npy', ua_400)\n", + "\n", + "va_400 = wrf.getvar(ds_list, 'va', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_va_400_sensitivity.npy', va_400)" + ] + }, + { + "cell_type": "code", + "execution_count": 408, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:44:47.528116Z", + "start_time": "2018-08-10T17:44:46.484741Z" + } + }, + "outputs": [], + "source": [ + "ptot_400 = numpy.load('DATA_ptot_400_sensitivity.npy')\n", + "geopot_400 = numpy.load('DATA_geopot_400_sensitivity.npy')\n", + "tk_400 = numpy.load('DATA_tk_400_sensitivity.npy')\n", + "ua_400 = numpy.load('DATA_ua_400_sensitivity.npy')\n", + "va_400 = numpy.load('DATA_va_400_sensitivity.npy')" + ] + }, + { + "cell_type": "code", + "execution_count": 409, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:44:48.949641Z", + "start_time": "2018-08-10T17:44:47.536291Z" + } + }, + "outputs": [], + "source": [ + "cont_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 410, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:44:50.519055Z", + "start_time": "2018-08-10T17:44:48.957919Z" + } + }, + "outputs": [], + "source": [ + "time = cont_mfds['Times'].values\n", + "xlat = cont_mfds['XLAT'].values[0,:,:]\n", + "xlong = cont_mfds['XLONG'].values[0,:,:]\n", + "landmask = cont_mfds['LANDMASK'].values[0,:,:]\n", + "landmask_midpoints = landmask[1:,1:]" + ] + }, + { + "cell_type": "code", + "execution_count": 411, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:52:44.471897Z", + "start_time": "2018-08-10T17:51:53.159322Z" + } + }, + "outputs": [], + "source": [ + "qvapor_400 = cont_mfds['QVAPOR'].values\n", + "u_400 = cont_mfds['U'].values\n", + "v_400 = cont_mfds['V'].values\n", + "w_400 = cont_mfds['W'].values\n", + "t_400 = cont_mfds['T'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 412, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:52:46.212015Z", + "start_time": "2018-08-10T17:52:44.480185Z" + } + }, + "outputs": [], + "source": [ + "pblh_400 = cont_mfds['PBLH'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 413, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:52:46.227591Z", + "start_time": "2018-08-10T17:52:46.220159Z" + } + }, + "outputs": [], + "source": [ + "rainc_400 = cont_mfds['RAINC']\n", + "rainnc_400 = cont_mfds['RAINNC']" + ] + }, + { + "cell_type": "code", + "execution_count": 414, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:55:09.950905Z", + "start_time": "2018-08-10T17:52:46.235839Z" + } + }, + "outputs": [], + "source": [ + "rqvcuten_400 = cont_mfds['RQVCUTEN'].values\n", + "rucuten_400 = cont_mfds['RUCUTEN'].values\n", + "rvcuten_400 = cont_mfds['RVCUTEN'].values\n", + "rthcuten_400 = cont_mfds['RTHCUTEN'].values\n", + "\n", + "rqvblten_400 = cont_mfds['RQVBLTEN'].values\n", + "rublten_400 = cont_mfds['RUBLTEN'].values\n", + "rvblten_400 = cont_mfds['RVBLTEN'].values\n", + "rthblten_400 = cont_mfds['RTHBLTEN'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 415, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:38.462033Z", + "start_time": "2018-08-10T17:55:09.959001Z" + } + }, + "outputs": [], + "source": [ + "xkzq3d_400 = cont_mfds['XKZQ3D'].values\n", + "xkzh3d_400 = cont_mfds['XKZH3D'].values\n", + "xkzm3d_400 = cont_mfds['XKZM3D'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 416, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:48.410388Z", + "start_time": "2018-08-10T17:56:38.470187Z" + } + }, + "outputs": [], + "source": [ + "hfxpbl2d_400 = cont_mfds['HFXPBL2D'].values\n", + "qfxpbl2d_400 = cont_mfds['QFXPBL2D'].values\n", + "ufxpbl2d_400 = cont_mfds['UFXPBL2D'].values\n", + "vfxpbl2d_400 = cont_mfds['VFXPBL2D'].values\n", + "bfxpbl2d_400 = cont_mfds['BFXPBL2D'].values\n", + "we2d_400 = cont_mfds['WE2D'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 417, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:49.957152Z", + "start_time": "2018-08-10T17:56:48.418484Z" + } + }, + "outputs": [], + "source": [ + "deltaysu_400 = cont_mfds['DELTA_YSU'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 418, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:52.276344Z", + "start_time": "2018-08-10T17:56:49.965432Z" + } + }, + "outputs": [], + "source": [ + "qfx_400 = cont_mfds['QFX'].values\n", + "hfx_400 = cont_mfds['HFX'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 419, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:54.496863Z", + "start_time": "2018-08-10T17:56:52.284638Z" + } + }, + "outputs": [], + "source": [ + "hgamq2d_400 = cont_mfds['HGAMQ2D'].values\n", + "hgamt2d_400 = cont_mfds['HGAMT2D'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 503, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:08:18.455148Z", + "start_time": "2018-08-10T18:08:09.262212Z" + } + }, + "outputs": [], + "source": [ + "ri3d_400 = cont_mfds['RI3D'].values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## phys data" + ] + }, + { + "cell_type": "code", + "execution_count": 420, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:54.541036Z", + "start_time": "2018-08-10T17:56:54.505266Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_with_extras'\n", + "file_list = sorted(glob.glob(root_dir+'/'+'wrfout*'))\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 421, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:30.424992Z", + "start_time": "2018-08-10T17:56:54.549274Z" + } + }, + "outputs": [], + "source": [ + "ptot_1000 = wrf.getvar(ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_ptot_1000_sensitivity.npy', ptot_1000)\n", + "\n", + "geopot_1000 = wrf.getvar(ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_geopot_1000_sensitivity.npy', geopot_1000)\n", + "\n", + "tk_1000 = wrf.getvar(ds_list, 'tk', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_tk_1000_sensitivity.npy', tk_1000)\n", + "\n", + "ua_1000 = wrf.getvar(ds_list, 'ua', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_ua_1000_sensitivity.npy', ua_1000)\n", + "\n", + "va_1000 = wrf.getvar(ds_list, 'va', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_va_1000_sensitivity.npy', va_1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 422, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:31.465909Z", + "start_time": "2018-08-10T17:57:30.433187Z" + } + }, + "outputs": [], + "source": [ + "ptot_1000 = numpy.load('DATA_ptot_1000_sensitivity.npy')\n", + "geopot_1000 = numpy.load('DATA_geopot_1000_sensitivity.npy')\n", + "tk_1000 = numpy.load('DATA_tk_1000_sensitivity.npy')\n", + "ua_1000 = numpy.load('DATA_ua_1000_sensitivity.npy')\n", + "va_1000 = numpy.load('DATA_va_1000_sensitivity.npy')" + ] + }, + { + "cell_type": "code", + "execution_count": 423, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:32.668736Z", + "start_time": "2018-08-10T17:57:31.474975Z" + } + }, + "outputs": [], + "source": [ + "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 424, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:42.260667Z", + "start_time": "2018-08-10T17:57:32.676901Z" + } + }, + "outputs": [], + "source": [ + "qvapor_1000 = phys_mfds['QVAPOR'].values\n", + "u_1000 = phys_mfds['U'].values\n", + "v_1000 = phys_mfds['V'].values\n", + "w_1000 = phys_mfds['W'].values\n", + "t_1000 = phys_mfds['T'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 425, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:42.386125Z", + "start_time": "2018-08-10T17:57:42.268899Z" + } + }, + "outputs": [], + "source": [ + "pblh_1000 = phys_mfds['PBLH'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 426, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:42.402413Z", + "start_time": "2018-08-10T17:57:42.394643Z" + } + }, + "outputs": [], + "source": [ + "rainc_1000 = phys_mfds['RAINC']\n", + "rainnc_1000 = phys_mfds['RAINNC']" + ] + }, + { + "cell_type": "code", + "execution_count": 427, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:59.326420Z", + "start_time": "2018-08-10T17:57:42.408462Z" + } + }, + "outputs": [], + "source": [ + "rqvcuten_1000 = phys_mfds['RQVCUTEN'].values\n", + "rucuten_1000 = phys_mfds['RUCUTEN'].values\n", + "rvcuten_1000 = phys_mfds['RVCUTEN'].values\n", + "rthcuten_1000 = phys_mfds['RTHCUTEN'].values\n", + "\n", + "rqvblten_1000 = phys_mfds['RQVBLTEN'].values\n", + "rublten_1000 = phys_mfds['RUBLTEN'].values\n", + "rvblten_1000 = phys_mfds['RVBLTEN'].values\n", + "rthblten_1000 = phys_mfds['RTHBLTEN'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 428, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:58:06.143079Z", + "start_time": "2018-08-10T17:57:59.328864Z" + } + }, + "outputs": [], + "source": [ + "xkzq3d_1000 = phys_mfds['XKZQ3D'].values\n", + "xkzh3d_1000 = phys_mfds['XKZH3D'].values\n", + "xkzm3d_1000 = phys_mfds['XKZM3D'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 429, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:58:06.706604Z", + "start_time": "2018-08-10T17:58:06.151559Z" + } + }, + "outputs": [], + "source": [ + "hfxpbl2d_1000 = phys_mfds['HFXPBL2D'].values\n", + "qfxpbl2d_1000 = phys_mfds['QFXPBL2D'].values\n", + "ufxpbl2d_1000 = phys_mfds['UFXPBL2D'].values\n", + "vfxpbl2d_1000 = phys_mfds['VFXPBL2D'].values\n", + "bfxpbl2d_1000 = phys_mfds['BFXPBL2D'].values\n", + "we2d_1000 = phys_mfds['WE2D'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 430, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:58:06.892613Z", + "start_time": "2018-08-10T17:58:06.715066Z" + } + }, + "outputs": [], + "source": [ + "deltaysu_1000 = phys_mfds['DELTA_YSU'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 431, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:58:07.040960Z", + "start_time": "2018-08-10T17:58:06.901090Z" + } + }, + "outputs": [], + "source": [ + "qfx_1000 = phys_mfds['QFX'].values\n", + "hfx_1000 = phys_mfds['HFX'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 432, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:58:07.259777Z", + "start_time": "2018-08-10T17:58:07.049417Z" + } + }, + "outputs": [], + "source": [ + "hgamq2d_1000 = phys_mfds['HGAMQ2D'].values\n", + "hgamt2d_1000 = phys_mfds['HGAMT2D'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 504, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:08:43.785659Z", + "start_time": "2018-08-10T18:08:22.432440Z" + } + }, + "outputs": [], + "source": [ + "ri3d_1000 = phys_mfds['RI3D'].values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## define dx, dy" + ] + }, + { + "cell_type": "code", + "execution_count": 433, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:01:57.574681Z", + "start_time": "2018-08-10T18:01:57.571137Z" + } + }, + "outputs": [], + "source": [ + "dx = 50000. # 50,000 m or 50 km\n", + "dy = 50000." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# constants" + ] + }, + { + "cell_type": "code", + "execution_count": 434, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:01:57.862354Z", + "start_time": "2018-08-10T18:01:57.586912Z" + } + }, + "outputs": [], + "source": [ + "L_v = 2264705.0 # J/kg\n", + "c_p = 1005.7 # J/kgK\n", + "g = 9.80665 # m/s2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## get landmask" + ] + }, + { + "cell_type": "code", + "execution_count": 435, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:01:58.046861Z", + "start_time": "2018-08-10T18:01:57.864678Z" + } + }, + "outputs": [], + "source": [ + "landmask = cont_mfds['LANDMASK'].sel(Time=0).values" + ] + }, + { + "cell_type": "code", + "execution_count": 436, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:01:58.816463Z", + "start_time": "2018-08-10T18:01:58.049236Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 436, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.contourf(landmask);mp.colorbar()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# calculate MSE" + ] + }, + { + "cell_type": "code", + "execution_count": 437, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:02.060560Z", + "start_time": "2018-08-10T18:01:58.818603Z" + } + }, + "outputs": [], + "source": [ + "mse_400 = geopot_400 + L_v*qvapor_400 + c_p*tk_400\n", + "mse_1000 = geopot_1000 + L_v*qvapor_1000 + c_p*tk_1000\n", + "\n", + "numpy.save('DATA_mse_400_sensitivity.npy', mse_400)\n", + "numpy.save('DATA_mse_1000_sensitivity.npy', mse_1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 298, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T03:28:12.919623Z", + "start_time": "2018-06-16T03:28:01.010452Z" + } + }, + "outputs": [], + "source": [ + "mse_400 = numpy.load('DATA_mse_400_sensitivity.npy')\n", + "mse_1000 = numpy.load('DATA_mse_1000_sensitivity.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "set up time/lev numbers" + ] + }, + { + "cell_type": "code", + "execution_count": 438, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:02.074461Z", + "start_time": "2018-08-10T18:02:02.068910Z" + } + }, + "outputs": [], + "source": [ + "ntime = 25\n", + "nlev = 29" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# calculate dtheta/dt for full, cu, and pbl schemes" + ] + }, + { + "cell_type": "code", + "execution_count": 439, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:02.434660Z", + "start_time": "2018-08-10T18:02:02.082606Z" + } + }, + "outputs": [], + "source": [ + "dthetadt_400 = numpy.zeros(t_400.shape)*numpy.nan\n", + "dthetadt_1000 = numpy.zeros(t_1000.shape)*numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 440, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:03.025531Z", + "start_time": "2018-08-10T18:02:02.443116Z" + } + }, + "outputs": [], + "source": [ + "for t in range(1,ntime-1):\n", + " dthetadt_400[t,:,:,:] = (t_400[t+1,:,:,:]-t_400[t-1,:,:,:])/7200.\n", + "for t in range(1,ntime-1):\n", + " dthetadt_1000[t,:,:,:] = (t_1000[t+1,:,:,:]-t_1000[t-1,:,:,:])/7200." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# dqvapor/dt for full, cu, and pbl schemes" + ] + }, + { + "cell_type": "code", + "execution_count": 441, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:03.289319Z", + "start_time": "2018-08-10T18:02:03.033875Z" + } + }, + "outputs": [], + "source": [ + "dqdt_400 = numpy.zeros(qvapor_400.shape)*numpy.nan\n", + "dqdt_1000 = numpy.zeros(qvapor_1000.shape)*numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 442, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:03.894489Z", + "start_time": "2018-08-10T18:02:03.298014Z" + } + }, + "outputs": [], + "source": [ + "for t in range(1,ntime-1):\n", + " dqdt_400[t,:,:,:] = (qvapor_400[t+1,:,:,:]-qvapor_400[t-1,:,:,:])/7200.\n", + "for t in range(1,ntime-1):\n", + " dqdt_1000[t,:,:,:] = (qvapor_1000[t+1,:,:,:]-qvapor_1000[t-1,:,:,:])/7200." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# duadt" + ] + }, + { + "cell_type": "code", + "execution_count": 443, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:04.151725Z", + "start_time": "2018-08-10T18:02:03.902941Z" + } + }, + "outputs": [], + "source": [ + "duadt_400 = numpy.zeros(ua_400.shape)*numpy.nan\n", + "duadt_1000 = numpy.zeros(ua_1000.shape)*numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 444, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:04.814072Z", + "start_time": "2018-08-10T18:02:04.160429Z" + } + }, + "outputs": [], + "source": [ + "for t in range(1,ntime-1):\n", + " duadt_400[t,:,:,:] = (ua_400[t+1,:,:,:]-ua_400[t-1,:,:,:])/7200.\n", + "for t in range(1,ntime-1):\n", + " duadt_1000[t,:,:,:] = (ua_1000[t+1,:,:,:]-ua_1000[t-1,:,:,:])/7200." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# dvadt" + ] + }, + { + "cell_type": "code", + "execution_count": 445, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:05.065669Z", + "start_time": "2018-08-10T18:02:04.822383Z" + } + }, + "outputs": [], + "source": [ + "dvadt_400 = numpy.zeros(va_400.shape)*numpy.nan\n", + "dvadt_1000 = numpy.zeros(va_1000.shape)*numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 446, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:05.710403Z", + "start_time": "2018-08-10T18:02:05.074859Z" + } + }, + "outputs": [], + "source": [ + "for t in range(1,ntime-1):\n", + " dvadt_400[t,:,:,:] = (va_400[t+1,:,:,:]-va_400[t-1,:,:,:])/7200.\n", + "for t in range(1,ntime-1):\n", + " dvadt_1000[t,:,:,:] = (va_1000[t+1,:,:,:]-va_1000[t-1,:,:,:])/7200." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# dmse/dt" + ] + }, + { + "cell_type": "code", + "execution_count": 447, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:05.967888Z", + "start_time": "2018-08-10T18:02:05.718634Z" + } + }, + "outputs": [], + "source": [ + "dmsedt_400 = numpy.zeros((ntime,nlev,xlat.shape[0],xlat.shape[1]))*numpy.nan\n", + "dmsedt_1000 = numpy.zeros((ntime,nlev,xlat.shape[0],xlat.shape[1]))*numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 448, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:06.612233Z", + "start_time": "2018-08-10T18:02:05.976569Z" + } + }, + "outputs": [], + "source": [ + "for t in range(1,ntime-1):\n", + " dmsedt_400[t,:,:,:] = (mse_400[t+1,:,:,:]-mse_400[t-1,:,:,:])/7200.\n", + "for t in range(1,ntime-1):\n", + " dmsedt_1000[t,:,:,:] = (mse_1000[t+1,:,:,:]-mse_1000[t-1,:,:,:])/7200." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "calculate lat lon stuff" + ] + }, + { + "cell_type": "code", + "execution_count": 449, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:06.627700Z", + "start_time": "2018-08-10T18:02:06.620664Z" + } + }, + "outputs": [], + "source": [ + "dry_lon_lo, dry_lon_hi, dry_lat_lo, dry_lat_hi = -60,-50,-10,10\n", + "wet_lon_lo, wet_lon_hi, wet_lat_lo, wet_lat_hi = -80,-75,-10,10\n", + "\n", + "dry_lon_lo_degE = 360+dry_lon_lo\n", + "dry_lon_hi_degE = 360+dry_lon_hi\n", + "\n", + "wet_lon_lo_degE = 360+wet_lon_lo\n", + "wet_lon_hi_degE = 360+wet_lon_hi" + ] + }, + { + "cell_type": "code", + "execution_count": 450, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:06.770195Z", + "start_time": "2018-08-10T18:02:06.635881Z" + } + }, + "outputs": [], + "source": [ + "lon_lo = dry_lon_lo\n", + "lon_hi = dry_lon_hi\n", + "lat_lo = dry_lat_lo\n", + "lat_hi = dry_lat_hi\n", + "\n", + "# lon_lo = wet_lon_lo\n", + "# lon_hi = wet_lon_hi\n", + "# lat_lo = wet_lat_lo\n", + "# lat_hi = wet_lat_hi" + ] + }, + { + "cell_type": "code", + "execution_count": 451, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:06.920096Z", + "start_time": "2018-08-10T18:02:06.778438Z" + } + }, + "outputs": [], + "source": [ + "landmask_indices = numpy.copy(landmask)\n", + "landmask_indices[landmask==1]=1\n", + "landmask_indices[landmask!=1]=0\n", + "landmask_indices = numpy.array(landmask_indices, dtype=bool)" + ] + }, + { + "cell_type": "code", + "execution_count": 452, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.025468Z", + "start_time": "2018-08-10T18:02:06.928141Z" + } + }, + "outputs": [], + "source": [ + "lon_indices = (xlong>=lon_lo)&(xlong<=lon_hi)\n", + "lat_indices = (xlat>=lat_lo)&(xlat<=lat_hi)\n", + "latlon_indices = (lon_indices)&(lat_indices)&(landmask_indices)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# take latlon means" + ] + }, + { + "cell_type": "code", + "execution_count": 453, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.168968Z", + "start_time": "2018-08-10T18:02:07.033407Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + } + ], + "source": [ + "duadt_400_latlon_mean = numpy.nanmean(duadt_400[:,:,latlon_indices], axis=2)\n", + "duadt_1000_latlon_mean = numpy.nanmean(duadt_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 454, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.294186Z", + "start_time": "2018-08-10T18:02:07.176823Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + } + ], + "source": [ + "dvadt_400_latlon_mean = numpy.nanmean(dvadt_400[:,:,latlon_indices], axis=2)\n", + "dvadt_1000_latlon_mean = numpy.nanmean(dvadt_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 455, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.497695Z", + "start_time": "2018-08-10T18:02:07.302358Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + " \n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", + " after removing the cwd from sys.path.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:5: RuntimeWarning: Mean of empty slice\n", + " \"\"\"\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:7: RuntimeWarning: Mean of empty slice\n", + " import sys\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:8: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + } + ], + "source": [ + "dthetadt_400_latlon_mean = numpy.nanmean(dthetadt_400[:,:,latlon_indices], axis=2)\n", + "dthetadt_1000_latlon_mean = numpy.nanmean(dthetadt_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "dqdt_400_latlon_mean = numpy.nanmean(dqdt_400[:,:,latlon_indices], axis=2)\n", + "dqdt_1000_latlon_mean = numpy.nanmean(dqdt_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "dmsedt_400_latlon_mean = numpy.nanmean(dmsedt_400[:,:,latlon_indices], axis=2)\n", + "dmsedt_1000_latlon_mean = numpy.nanmean(dmsedt_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "pblh, deltaysu" + ] + }, + { + "cell_type": "code", + "execution_count": 456, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.561655Z", + "start_time": "2018-08-10T18:02:07.505750Z" + } + }, + "outputs": [], + "source": [ + "pblh_400_latlon_mean = numpy.nanmean(pblh_400[:,latlon_indices], axis=1)\n", + "pblh_1000_latlon_mean = numpy.nanmean(pblh_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 457, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.680590Z", + "start_time": "2018-08-10T18:02:07.570006Z" + } + }, + "outputs": [], + "source": [ + "deltaysu_400_latlon_mean = numpy.nanmean(deltaysu_400[:,latlon_indices], axis=1)\n", + "deltaysu_1000_latlon_mean = numpy.nanmean(deltaysu_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "tendencies" + ] + }, + { + "cell_type": "code", + "execution_count": 458, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.814615Z", + "start_time": "2018-08-10T18:02:07.689916Z" + } + }, + "outputs": [], + "source": [ + "rthcuten_400_latlon_mean = numpy.nanmean(rthcuten_400[:,:,latlon_indices], axis=2)\n", + "rthcuten_1000_latlon_mean = numpy.nanmean(rthcuten_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "rqvcuten_400_latlon_mean = numpy.nanmean(rqvcuten_400[:,:,latlon_indices], axis=2)\n", + "rqvcuten_1000_latlon_mean = numpy.nanmean(rqvcuten_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 459, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.929757Z", + "start_time": "2018-08-10T18:02:07.822893Z" + } + }, + "outputs": [], + "source": [ + "rthblten_400_latlon_mean = numpy.nanmean(rthblten_400[:,:,latlon_indices], axis=2)\n", + "rthblten_1000_latlon_mean = numpy.nanmean(rthblten_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "rqvblten_400_latlon_mean = numpy.nanmean(rqvblten_400[:,:,latlon_indices], axis=2)\n", + "rqvblten_1000_latlon_mean = numpy.nanmean(rqvblten_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 460, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:08.057366Z", + "start_time": "2018-08-10T18:02:07.938086Z" + } + }, + "outputs": [], + "source": [ + "rublten_400_latlon_mean = numpy.nanmean(rublten_400[:,:,latlon_indices], axis=2)\n", + "rublten_1000_latlon_mean = numpy.nanmean(rublten_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "rvblten_400_latlon_mean = numpy.nanmean(rvblten_400[:,:,latlon_indices], axis=2)\n", + "rvblten_1000_latlon_mean = numpy.nanmean(rvblten_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 461, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:08.281281Z", + "start_time": "2018-08-10T18:02:08.066001Z" + } + }, + "outputs": [], + "source": [ + "rucuten_400_latlon_mean = numpy.nanmean(rucuten_400[:,:,latlon_indices], axis=2)\n", + "rucuten_1000_latlon_mean = numpy.nanmean(rucuten_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "rvcuten_400_latlon_mean = numpy.nanmean(rvcuten_400[:,:,latlon_indices], axis=2)\n", + "rvcuten_1000_latlon_mean = numpy.nanmean(rvcuten_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "adding in xkz terms" + ] + }, + { + "cell_type": "code", + "execution_count": 462, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:08.418731Z", + "start_time": "2018-08-10T18:02:08.290566Z" + } + }, + "outputs": [], + "source": [ + "xkzq3d_400_latlon_mean = numpy.nanmean(xkzq3d_400[:,:,latlon_indices], axis=2)\n", + "xkzq3d_1000_latlon_mean = numpy.nanmean(xkzq3d_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 463, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:08.579429Z", + "start_time": "2018-08-10T18:02:08.427120Z" + } + }, + "outputs": [], + "source": [ + "xkzh3d_400_latlon_mean = numpy.nanmean(xkzh3d_400[:,:,latlon_indices], axis=2)\n", + "xkzh3d_1000_latlon_mean = numpy.nanmean(xkzh3d_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 464, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:08.738612Z", + "start_time": "2018-08-10T18:02:08.587686Z" + } + }, + "outputs": [], + "source": [ + "xkzm3d_400_latlon_mean = numpy.nanmean(xkzm3d_400[:,:,latlon_indices], axis=2)\n", + "xkzm3d_1000_latlon_mean = numpy.nanmean(xkzm3d_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "t (theta) for dtheta/dz info" + ] + }, + { + "cell_type": "code", + "execution_count": 465, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:03:46.184228Z", + "start_time": "2018-08-10T18:03:46.168533Z" + } + }, + "outputs": [], + "source": [ + "t_400_latlon_mean = numpy.nanmean(t_400[:,:,latlon_indices], axis=2)\n", + "t_1000_latlon_mean = numpy.nanmean(t_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ri3d" + ] + }, + { + "cell_type": "code", + "execution_count": 505, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:10:06.679089Z", + "start_time": "2018-08-10T18:10:06.414187Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", + " after removing the cwd from sys.path.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:5: RuntimeWarning: Mean of empty slice\n", + " \"\"\"\n" + ] + } + ], + "source": [ + "ri3d_400[ri3d_400==999] = numpy.nan\n", + "ri3d_1000[ri3d_1000==999] = numpy.nan\n", + "\n", + "ri3d_400_latlon_mean = numpy.nanmean(ri3d_400[:,:,latlon_indices], axis=2)\n", + "ri3d_1000_latlon_mean = numpy.nanmean(ri3d_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "adding in fxpbl2d terms" + ] + }, + { + "cell_type": "code", + "execution_count": 468, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:26.176618Z", + "start_time": "2018-08-10T18:04:26.166617Z" + } + }, + "outputs": [], + "source": [ + "hfxpbl2d_400_latlon_mean = numpy.nanmean(hfxpbl2d_400[:,latlon_indices], axis=1)\n", + "hfxpbl2d_1000_latlon_mean = numpy.nanmean(hfxpbl2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 469, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:27.017608Z", + "start_time": "2018-08-10T18:04:27.007535Z" + } + }, + "outputs": [], + "source": [ + "qfxpbl2d_400_latlon_mean = numpy.nanmean(qfxpbl2d_400[:,latlon_indices], axis=1)\n", + "qfxpbl2d_1000_latlon_mean = numpy.nanmean(qfxpbl2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 470, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:27.496211Z", + "start_time": "2018-08-10T18:04:27.485887Z" + } + }, + "outputs": [], + "source": [ + "ufxpbl2d_400_latlon_mean = numpy.nanmean(ufxpbl2d_400[:,latlon_indices], axis=1)\n", + "ufxpbl2d_1000_latlon_mean = numpy.nanmean(ufxpbl2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 471, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:27.646321Z", + "start_time": "2018-08-10T18:04:27.636385Z" + } + }, + "outputs": [], + "source": [ + "vfxpbl2d_400_latlon_mean = numpy.nanmean(vfxpbl2d_400[:,latlon_indices], axis=1)\n", + "vfxpbl2d_1000_latlon_mean = numpy.nanmean(vfxpbl2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 472, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:27.891448Z", + "start_time": "2018-08-10T18:04:27.790897Z" + } + }, + "outputs": [], + "source": [ + "bfxpbl2d_400_latlon_mean = numpy.nanmean(bfxpbl2d_400[:,latlon_indices], axis=1)\n", + "bfxpbl2d_1000_latlon_mean = numpy.nanmean(bfxpbl2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 473, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:28.259071Z", + "start_time": "2018-08-10T18:04:28.253500Z" + } + }, + "outputs": [], + "source": [ + "we2d_400_latlon_mean = numpy.nanmean(we2d_400[:,latlon_indices], axis=1)\n", + "we2d_1000_latlon_mean = numpy.nanmean(we2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "hgam and qfx terms" + ] + }, + { + "cell_type": "code", + "execution_count": 474, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:29.328572Z", + "start_time": "2018-08-10T18:04:29.318645Z" + } + }, + "outputs": [], + "source": [ + "hgamq2d_400_latlon_mean = numpy.nanmean(hgamq2d_400[:,latlon_indices], axis=1)\n", + "hgamq2d_1000_latlon_mean = numpy.nanmean(hgamq2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 475, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:29.855876Z", + "start_time": "2018-08-10T18:04:29.845753Z" + } + }, + "outputs": [], + "source": [ + "hgamt2d_400_latlon_mean = numpy.nanmean(hgamt2d_400[:,latlon_indices], axis=1)\n", + "hgamt2d_1000_latlon_mean = numpy.nanmean(hgamt2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 476, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:30.019339Z", + "start_time": "2018-08-10T18:04:30.009796Z" + } + }, + "outputs": [], + "source": [ + "qfx_400_latlon_mean = numpy.nanmean(qfx_400[:,latlon_indices], axis=1)\n", + "qfx_1000_latlon_mean = numpy.nanmean(qfx_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 477, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:30.183300Z", + "start_time": "2018-08-10T18:04:30.173255Z" + } + }, + "outputs": [], + "source": [ + "hfx_400_latlon_mean = numpy.nanmean(hfx_400[:,latlon_indices], axis=1)\n", + "hfx_1000_latlon_mean = numpy.nanmean(hfx_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# calculate diffs" + ] + }, + { + "cell_type": "code", + "execution_count": 478, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:32.547578Z", + "start_time": "2018-08-10T18:04:32.537212Z" + } + }, + "outputs": [], + "source": [ + "dqdt_diffs_latlon_mean = dqdt_1000_latlon_mean-dqdt_400_latlon_mean\n", + "dthetadt_diffs_latlon_mean = dthetadt_1000_latlon_mean-dthetadt_400_latlon_mean\n", + "dmsedt_diffs_latlon_mean = dmsedt_1000_latlon_mean-dmsedt_400_latlon_mean\n", + "duadt_diffs_latlon_mean = duadt_1000_latlon_mean-duadt_400_latlon_mean\n", + "\n", + "rthblten_diffs_latlon_mean = rthblten_1000_latlon_mean-rthblten_400_latlon_mean\n", + "rqvblten_diffs_latlon_mean = rqvblten_1000_latlon_mean-rqvblten_400_latlon_mean\n", + "\n", + "rthcuten_diffs_latlon_mean = rthcuten_1000_latlon_mean-rthcuten_400_latlon_mean\n", + "rqvcuten_diffs_latlon_mean = rqvcuten_1000_latlon_mean-rqvcuten_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 479, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:32.705749Z", + "start_time": "2018-08-10T18:04:32.701280Z" + } + }, + "outputs": [], + "source": [ + "rucuten_diffs_latlon_mean = rucuten_1000_latlon_mean-rucuten_400_latlon_mean\n", + "rvcuten_diffs_latlon_mean = rvcuten_1000_latlon_mean-rvcuten_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 480, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:33.193549Z", + "start_time": "2018-08-10T18:04:33.189682Z" + } + }, + "outputs": [], + "source": [ + "rublten_diffs_latlon_mean = rublten_1000_latlon_mean-rublten_400_latlon_mean\n", + "rvblten_diffs_latlon_mean = rvblten_1000_latlon_mean-rvblten_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 481, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:33.378359Z", + "start_time": "2018-08-10T18:04:33.357773Z" + } + }, + "outputs": [], + "source": [ + "xkzq3d_diffs_latlon_mean = xkzq3d_1000_latlon_mean - xkzq3d_400_latlon_mean\n", + "xkzh3d_diffs_latlon_mean = xkzh3d_1000_latlon_mean - xkzh3d_400_latlon_mean\n", + "xkzm3d_diffs_latlon_mean = xkzm3d_1000_latlon_mean - xkzm3d_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 482, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:33.534320Z", + "start_time": "2018-08-10T18:04:33.528905Z" + } + }, + "outputs": [], + "source": [ + "bfxpbl2d_diffs_latlon_mean = bfxpbl2d_1000_latlon_mean - bfxpbl2d_400_latlon_mean\n", + "hfxpbl2d_diffs_latlon_mean = hfxpbl2d_1000_latlon_mean - hfxpbl2d_400_latlon_mean\n", + "qfxpbl2d_diffs_latlon_mean = qfxpbl2d_1000_latlon_mean - qfxpbl2d_400_latlon_mean\n", + "ufxpbl2d_diffs_latlon_mean = ufxpbl2d_1000_latlon_mean - ufxpbl2d_400_latlon_mean\n", + "vfxpbl2d_diffs_latlon_mean = vfxpbl2d_1000_latlon_mean - vfxpbl2d_400_latlon_mean\n", + "we2d_diffs_latlon_mean = we2d_1000_latlon_mean - we2d_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 483, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:33.868646Z", + "start_time": "2018-08-10T18:04:33.864178Z" + } + }, + "outputs": [], + "source": [ + "hgamq2d_diffs_latlon_mean = hgamq2d_1000_latlon_mean - hgamq2d_400_latlon_mean\n", + "hgamt2d_diffs_latlon_mean = hgamt2d_1000_latlon_mean - hgamt2d_400_latlon_mean\n", + "\n", + "qfx_diffs_latlon_mean = qfx_1000_latlon_mean - qfx_400_latlon_mean\n", + "hfx_diffs_latlon_mean = hfx_1000_latlon_mean - hfx_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 499, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:06:57.916697Z", + "start_time": "2018-08-10T18:06:57.908916Z" + } + }, + "outputs": [], + "source": [ + "t_diffs_latlon_mean = t_1000_latlon_mean - t_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 506, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:10:27.088831Z", + "start_time": "2018-08-10T18:10:27.081011Z" + } + }, + "outputs": [], + "source": [ + "ri3d_diffs_latlon_mean = ri3d_1000_latlon_mean - ri3d_400_latlon_mean" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plots for fxpbl2d stuff" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "$\\overline{(w'\\theta')_h}$" + ] + }, + { + "cell_type": "code", + "execution_count": 485, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:55.216721Z", + "start_time": "2018-08-10T18:04:52.934234Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = mp.figure(figsize=(4.25,4))\n", + "\n", + "fontsize=12\n", + "\n", + "xvals = numpy.arange(ntime)\n", + "color_list = [matplotlib.cm.magma(i) for i in numpy.linspace(0.,0.8,4)]\n", + "\n", + "# bfx, hfx, qfx, ufx, vfx, we\n", + "labels = [\\\n", + "r\"$\\overline{(w \\prime \\theta_v \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime \\theta \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime q \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime u \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime v \\prime)}_h$\", \\\n", + "r\"$w_e$\", \\\n", + "]\n", + "\n", + "ax1 = fig.add_subplot(211)\n", + "ax1.plot(xvals-4, bfxpbl2d_400_latlon_mean, label=labels[0], color=color_list[0])\n", + "ax1.plot(xvals-4, hfxpbl2d_400_latlon_mean, label=labels[1], color=color_list[1])\n", + "#ax1.plot(xvals-4, qfxpbl2d_400_latlon_mean, label='qfxpbl', color=color_list[2])\n", + "ax1.plot(xvals-4, ufxpbl2d_400_latlon_mean, label=labels[3], color=color_list[2])\n", + "ax1.plot(xvals-4, vfxpbl2d_400_latlon_mean, label=labels[4], color=color_list[3])\n", + "#ax1.plot(xvals-4, we2d_400_latlon_mean, label=labels[5], color=color_list[5])\n", + "ax1.set_xlim(0,20)\n", + "ax1.set_xticks([i for i in range(0,21,4)])\n", + "ax1.set_xticklabels([])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.text(x=0,y=1.02,s='(a) control', ha='left',va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "\n", + "ax2 = fig.add_subplot(212)\n", + "ax2.plot(xvals-4, bfxpbl2d_diffs_latlon_mean, label='bfxpbl', color=color_list[0])\n", + "ax2.plot(xvals-4, hfxpbl2d_diffs_latlon_mean, label='hfxpbl', color=color_list[1])\n", + "#ax2.plot(xvals-4, qfxpbl2d_diffs_latlon_mean, label='qfxpbl', color=color_list[2])\n", + "ax2.plot(xvals-4, ufxpbl2d_diffs_latlon_mean, label='ufxpbl', color=color_list[2])\n", + "ax2.plot(xvals-4, vfxpbl2d_diffs_latlon_mean, label='vfxpbl', color=color_list[3])\n", + "#ax2.plot(xvals-4, we2d_diffs_latlon_mean, label='w$_e$', color=color_list[5])\n", + "ax2.set_xlim(0,20)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticks([i for i in range(0,21,4)])\n", + "ax2.set_xlabel('hour', fontsize=fontsize)\n", + "ax2.text(x=0,y=1.02,s='(b) change', ha='left',va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2.5)\n", + "\n", + "handles, labels = ax1.get_legend_handles_labels()\n", + "ax1.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", + " ncol=1, bbox_to_anchor=(1.03,1.0), bbox_transform=ax1.transAxes, \\\n", + " loc='upper left', borderaxespad=0, labelspacing=0.333, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0., columnspacing=0.5, \\\n", + " handletextpad=0.5, markerscale=1)\n", + "\n", + "fig.savefig('figures/entrainment_output.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 486, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:55.941097Z", + "start_time": "2018-08-10T18:04:55.225291Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = mp.figure(figsize=(4.25,5))\n", + "\n", + "fontsize=12\n", + "xvals = numpy.arange(ntime)\n", + "\n", + "ax = fig.add_subplot(411)\n", + "ax.plot(xvals-4, hgamq2d_diffs_latlon_mean*1000.)\n", + "ax.set_xlim(0,20)\n", + "ax.set_xticks([i for i in range(0,21,4)])\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s=r'$\\Delta \\,\\, \\gamma_q$', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "\n", + "ax = fig.add_subplot(412)\n", + "ax.plot(xvals-4, qfx_diffs_latlon_mean*2264.705*1000.)\n", + "ax.set_xlim(0,20)\n", + "ax.set_xticks([i for i in range(0,21,4)])\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s=r'$\\Delta \\,\\, \\overline{(w \\prime q \\prime)}_0$', x=0, y=1.02, \\\n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "\n", + "ax = fig.add_subplot(413)\n", + "ax.plot(xvals-4, hgamt2d_diffs_latlon_mean)\n", + "ax.set_xlim(0,20)\n", + "ax.set_xticks([i for i in range(0,21,4)])\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s=r'$\\Delta \\,\\, \\gamma_\\theta$', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "\n", + "ax = fig.add_subplot(414)\n", + "ax.plot(xvals-4, hfx_diffs_latlon_mean)\n", + "ax.set_xlim(0,20)\n", + "ax.set_xticks([i for i in range(0,21,4)])\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s=r'$\\Delta \\,\\, \\overline{(w \\prime \\theta \\prime)}_0$', x=0, y=1.02, \\\n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.set_ylabel('W m$^{\\,-2}$', fontsize=fontsize)\n", + "\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 487, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:59.517204Z", + "start_time": "2018-08-10T18:04:57.033578Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = mp.figure(figsize=(4.25,4))\n", + "\n", + "fontsize=12\n", + "\n", + "xvals = numpy.arange(ntime)\n", + "color_list = [matplotlib.cm.magma(i) for i in numpy.linspace(0.,0.8,6)]\n", + "\n", + "# bfx, hfx, qfx, ufx, vfx, we\n", + "labels = [\\\n", + "r\"$\\overline{(w \\prime \\theta_v \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime \\theta \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime q \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime u \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime v \\prime)}_h$\", \\\n", + "r\"$w_e$\", \\\n", + "]\n", + "\n", + "ax1 = fig.add_subplot(211)\n", + "ax1.plot(xvals-4, bfxpbl2d_400_latlon_mean, label=labels[0], color=color_list[0])\n", + "ax1.plot(xvals-4, hfxpbl2d_400_latlon_mean, label=labels[1], color=color_list[1])\n", + "ax1.plot(xvals-4, qfxpbl2d_400_latlon_mean*1000., label=labels[2], color=color_list[2])\n", + "ax1.plot(xvals-4, ufxpbl2d_400_latlon_mean, label=labels[3], color=color_list[3])\n", + "ax1.plot(xvals-4, vfxpbl2d_400_latlon_mean, label=labels[4], color=color_list[4])\n", + "ax1.plot(xvals-4, we2d_400_latlon_mean, label=labels[5], color=color_list[5])\n", + "ax1.set_xlim(0,20)\n", + "ax1.set_xticks([i for i in range(0,21,4)])\n", + "ax1.set_xticklabels([])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.text(x=0,y=1.02,s='(a) control', ha='left',va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "\n", + "ax2 = fig.add_subplot(212)\n", + "ax2.plot(xvals-4, bfxpbl2d_diffs_latlon_mean, label='bfxpbl', color=color_list[0])\n", + "ax2.plot(xvals-4, hfxpbl2d_diffs_latlon_mean, label='hfxpbl', color=color_list[1])\n", + "ax2.plot(xvals-4, qfxpbl2d_diffs_latlon_mean*1000., label='qfxpbl', color=color_list[2])\n", + "ax2.plot(xvals-4, ufxpbl2d_diffs_latlon_mean, label='ufxpbl', color=color_list[3])\n", + "ax2.plot(xvals-4, vfxpbl2d_diffs_latlon_mean, label='vfxpbl', color=color_list[4])\n", + "ax2.plot(xvals-4, we2d_diffs_latlon_mean, label='w$_e$', color=color_list[5])\n", + "ax2.set_xlim(0,20)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticks([i for i in range(0,21,4)])\n", + "ax2.set_xlabel('hour', fontsize=fontsize)\n", + "ax2.text(x=0,y=1.02,s='(b) change', ha='left',va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2.5)\n", + "\n", + "handles, labels = ax1.get_legend_handles_labels()\n", + "ax1.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", + " ncol=1, bbox_to_anchor=(1.03,1.0), bbox_transform=ax1.transAxes, \\\n", + " loc='upper left', borderaxespad=0, labelspacing=0.333, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0., columnspacing=0.5, \\\n", + " handletextpad=0.5, markerscale=1)\n", + "\n", + "fig.savefig('figures/entrainment_output.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plots" + ] + }, + { + "cell_type": "code", + "execution_count": 488, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:05:00.005327Z", + "start_time": "2018-08-10T18:04:59.977374Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_latlon_time_mean = numpy.nanmean(ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "geopot_400_latlon_time_mean = numpy.nanmean(geopot_400[:,:,latlon_indices], axis=(0,2))" + ] + }, + { + "cell_type": "code", + "execution_count": 489, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:05:00.487416Z", + "start_time": "2018-08-10T18:05:00.480752Z" + } + }, + "outputs": [], + "source": [ + "xx, pp = numpy.meshgrid(numpy.arange(ntime), ptot_400_latlon_time_mean)" + ] + }, + { + "cell_type": "code", + "execution_count": 490, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:05:01.414526Z", + "start_time": "2018-08-10T18:05:01.406159Z" + } + }, + "outputs": [], + "source": [ + "xx_geopot, gg = numpy.meshgrid(numpy.arange(ntime), geopot_400_latlon_time_mean)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "for dqdt" + ] + }, + { + "cell_type": "raw", + "metadata": {}, + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.15,0.151,0.025)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dqdt_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rqvcuten_diffs_latlon_mean.T*1000.*86400., \\\n", + " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s='(a) $\\Delta$ dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ dq/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "# cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "# cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "# cbar_ax1.tick_params(labelsize=fontsize)\n", + "# #cbar1.add_lines(contour_line1)\n", + "# cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "# ax2pos = ax2.get_position()\n", + "# cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "# cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "# cbar_ax2.tick_params(labelsize=fontsize)\n", + "# cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar3.set_ticks([-.01,0,.01])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dqdt_day1_ysu_and_tiedtke.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 491, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:05:15.282794Z", + "start_time": "2018-08-10T18:05:12.766977Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,4))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(211)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.15,0.151,0.025)\n", + "contour_plot1 = ax1.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " dqdt_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "ax1.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax1.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "#ax1.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000.+deltaysu_1000_latlon_mean/1000., c='firebrick')\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "#ax1.set_ylim(1013.25,700)\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "#ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(212)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "#ax2.set_ylim(1013.25,700)\n", + "ax2.set_ylim(0,3.25)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "#ax2.set_yticks([700,800,900,1000])\n", + "\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "# ax3 = fig.add_subplot(313)\n", + "# ax3.tick_params(labelsize=fontsize)\n", + "\n", + "# contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + "# rqvcuten_diffs_latlon_mean.T*1000.*86400., \\\n", + "# cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "\n", + "# ax3.set_ylim(1013.25,700)\n", + "# ax3.set_xlim(6,18)\n", + "# ax3.set_xlabel('hour', fontsize=fontsize)\n", + "# ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "# ax3.set_xticks([i for i in range(6,19,2)])\n", + "# ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s='(a) $\\Delta$ dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "# ax3.text(s='(c) $\\Delta$ dq/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.0333, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot1, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dqdt_day1_ysu_zcoords.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 492, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:05:19.412545Z", + "start_time": "2018-08-10T18:05:16.624299Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.25,0.251,0.05)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dqdt_400_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rqvblten_400_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "# ax3 = fig.add_subplot(313)\n", + "# ax3.tick_params(labelsize=fontsize)\n", + "\n", + "# contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + "# rqvcuten_400_latlon_mean.T*1000.*86400., \\\n", + "# cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "# ax3.set_ylim(1013.25,700)\n", + "# ax3.set_xlim(6,18)\n", + "# ax3.set_xlabel('hour', fontsize=fontsize)\n", + "# ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "# ax3.set_xticks([i for i in range(6,19,2)])\n", + "# ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s='(a) dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "#ax3.text(s='(c) dq/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax = fig.add_axes([ax3pos.x1+0.05, ax2pos.y0, 0.0333, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot1, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dqdt_day1_background_control_ysu.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "both" + ] + }, + { + "cell_type": "code", + "execution_count": 497, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:06:21.039156Z", + "start_time": "2018-08-10T18:06:16.717745Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,4))\n", + "\n", + "levels = numpy.arange(0,401,25)\n", + "ax1 = fig.add_subplot(221)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.25,0.251,0.05)\n", + "contour_plot1 = ax1.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " dqdt_400_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "\n", + "ax3 = fig.add_subplot(223)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot3 = ax3.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " rqvblten_400_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "\n", + "ax1.text(s='(a) dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax3.text(s='(b) dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "\n", + "levels = numpy.arange(-0.15,0.151,0.025)\n", + "ax2 = fig.add_subplot(222)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax4 = fig.add_subplot(224)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot4 = ax4.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax4.set_ylim(0,3.25)\n", + "ax4.set_xlim(6,18)\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "\n", + "ax4.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax4.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax2.text(s='(a) $\\Delta$ dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax4.text(s='(b) $\\Delta$ dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2, w_pad=8)\n", + "\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.025, ax3pos.y0, 0.0175, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.set_label('g kg$^{\\,-1}$ h$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "\n", + "ax2pos = ax2.get_position()\n", + "ax4pos = ax4.get_position()\n", + "cbar_ax4 = fig.add_axes([ax4pos.x1+0.025, ax4pos.y0, 0.0175, ax2pos.y1-ax4pos.y0])\n", + "cbar4 = fig.colorbar(contour_plot4, cax=cbar_ax4)\n", + "cbar_ax4.tick_params(labelsize=fontsize)\n", + "cbar4.set_label('g kg$^{\\,-1}$ h$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar4.set_ticks([i for i in range(0,501,100)])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_tendency_terms_background_and_percent_change_zcoords.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# for xkz terms" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "just $K_m$ and $K_h$" + ] + }, + { + "cell_type": "code", + "execution_count": 509, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:11:13.907861Z", + "start_time": "2018-08-10T18:11:13.333026Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 509, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,4))\n", + "\n", + "levels = numpy.arange(-.75,.751,0.05)\n", + "ax1 = fig.add_subplot(211)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " t_diffs_latlon_mean.T, \\\n", + " cmap=cmocean.cm.balance, \\\n", + " levels=levels, \\\n", + " extend='both')\n", + "# contour_lines1 = ax1.contour(xx_geopot-4, gg/9.81/1000., \\\n", + "# xkzh3d_400_latlon_mean.T, \\\n", + "# colors='0.1', linewidths=[0.5], \\\n", + "# levels=[1,5])\n", + "ax1.clabel(contour_lines1, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax1.set_ylim(0,3.25)\n", + "#ax.set_xlim(0,240)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([0,1,2,3])\n", + "\n", + "ax2 = fig.add_subplot(212)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-100,101,10)\n", + "contour_plot2 = ax2.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " ri3d_diffs_latlon_mean.T, \\\n", + " cmap=cmocean.cm.balance, \\\n", + " levels=levels, \\\n", + " extend='both')\n", + "# contour_lines2 = ax2.contour(xx_geopot-4, gg/9.81/1000., \\\n", + "# xkzm3d_400_latlon_mean.T, \\\n", + "# colors='0.1', linewidths=[0.5], \\\n", + "# levels=[1,5])\n", + "ax2.clabel(contour_lines3, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_xlabel('hour', fontsize=fontsize)\n", + "ax2.set_ylabel('km', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([0,1,2,3])\n", + "\n", + "ax1.text(s=r'(a) $\\Delta$ $\\theta$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s=r'(b) $\\Delta$ bulk Richardson number (Rig)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "\n", + "ax1.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax1.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax1 = fig.add_axes([ax1pos.x1+0.035, ax1pos.y0, 0.025, ax1pos.height])\n", + "cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "cbar_ax1.tick_params(labelsize=fontsize)\n", + "cbar1.set_label('$\\degree$C', fontsize=fontsize, labelpad=7)\n", + "cbar1.set_ticks([-.75,-.5,-.25,0,.25,.5,.75])\n", + "\n", + "cbar_ax2 = fig.add_axes([ax2pos.x1+0.035, ax2pos.y0, 0.025, ax2pos.height])\n", + "cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "cbar_ax2.tick_params(labelsize=fontsize)\n", + "cbar2.set_label('dimensionless', fontsize=fontsize, labelpad=7)\n", + "cbar2.set_ticks([i for i in range(-100,101,50)])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_theta_and_rig.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 515, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:17:18.358625Z", + "start_time": "2018-08-10T18:17:13.849157Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:37: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:45: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,4))\n", + "\n", + "levels = numpy.arange(0,401,25)\n", + "ax1 = fig.add_subplot(221)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "contour_lines1 = ax1.contour(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", + " colors='0.1', linewidths=[0.5], \\\n", + " levels=[1,5])\n", + "ax1.clabel(contour_lines1, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax1.set_ylim(0,3.25)\n", + "#ax.set_xlim(0,240)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([0,1,2,3])\n", + "\n", + "ax3 = fig.add_subplot(223)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot3 = ax3.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzm3d_400_latlon_mean.T, \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "contour_lines3 = ax3.contour(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzm3d_400_latlon_mean.T, \\\n", + " colors='0.1', linewidths=[0.5], \\\n", + " levels=[1,5])\n", + "ax3.clabel(contour_lines3, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([0,1,2,3])\n", + "ax1.text(s='(a) control K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax3.text(s='(c) control K$_{\\,m}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "\n", + "\n", + "levels = numpy.arange(0,501,20)\n", + "ax2 = fig.add_subplot(222)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " (xkzh3d_diffs_latlon_mean.T/xkzh3d_400_latlon_mean.T)*100., \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([0,1,2,3])\n", + "\n", + "ax4 = fig.add_subplot(224)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot4 = ax4.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " (xkzm3d_diffs_latlon_mean.T/xkzm3d_400_latlon_mean.T)*100., \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "ax4.set_ylim(0,3.25)\n", + "ax4.set_xlim(6,18)\n", + "ax4.set_xlabel('hour', fontsize=fontsize)\n", + "#ax4.set_ylabel('hPa', fontsize=fontsize)\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "ax4.set_yticks([0,1,2,3])\n", + "\n", + "ax2.text(s='(b) $\\Delta$ K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ K$_{\\,m}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax4.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax4.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "fig.tight_layout(h_pad=2, w_pad=8)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.025, ax3pos.y0, 0.0175, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.set_label('m$^{\\,2}$s$^{\\,-1}$', fontsize=fontsize, labelpad=7)\n", + "\n", + "ax2pos = ax2.get_position()\n", + "ax4pos = ax4.get_position()\n", + "cbar_ax4 = fig.add_axes([ax4pos.x1+0.025, ax4pos.y0, 0.0175, ax2pos.y1-ax4pos.y0])\n", + "cbar4 = fig.colorbar(contour_plot4, cax=cbar_ax4)\n", + "cbar_ax4.tick_params(labelsize=fontsize)\n", + "cbar4.set_label('% change', fontsize=fontsize, labelpad=7)\n", + "cbar4.set_ticks([i for i in range(0,501,100)])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_xkzm_xkzh_terms_background_and_percent_change_zcoords.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# figure 11 in manuscript" + ] + }, + { + "cell_type": "code", + "execution_count": 576, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-12T03:16:23.051111Z", + "start_time": "2018-08-12T03:16:19.219537Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:20: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "levels = numpy.arange(0,401,25)\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "contour_lines1 = ax1.contour(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", + " colors='0.1', linewidths=[0.5], \\\n", + " levels=[1,5])\n", + "clabel1 = ax1.clabel(contour_lines1, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([0,1,2,3])\n", + "\n", + "levels = numpy.arange(0,501,20)\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " (xkzh3d_diffs_latlon_mean.T/xkzh3d_400_latlon_mean.T)*100., \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([0,1,2,3])\n", + "ax2.set_ylabel('km', fontsize=fontsize)\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5', label='PBLH cont.')\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--', label='PBLH phys.')\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-.75,.751,0.05)\n", + "contour_plot3 = ax3.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " t_diffs_latlon_mean.T, \\\n", + " cmap=cmocean.cm.balance, \\\n", + " levels=levels, \\\n", + " extend='both')\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([0,1,2,3])\n", + "ax3.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax3.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax1.text(s=r'(a) control K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s=r'(b) $\\Delta$ K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s=r'(c) $\\Delta \\theta$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=1.5)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "cbar_ax1 = fig.add_axes([ax1pos.x1+0.04, ax1pos.y0, 0.035, ax1pos.height])\n", + "cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "cbar_ax1.tick_params(labelsize=fontsize)\n", + "cbar1.set_label('m$^{\\,2}$s$^{\\,-1}$', fontsize=fontsize, labelpad=7)\n", + "cbar1.set_ticks([i for i in range(0,401,100)])\n", + "\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax2 = fig.add_axes([ax2pos.x1+0.04, ax2pos.y0, 0.035, ax2pos.height])\n", + "cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "cbar_ax2.tick_params(labelsize=fontsize)\n", + "cbar2.set_label('% change', fontsize=fontsize, labelpad=7)\n", + "cbar2.set_ticks([i for i in range(0,501,100)])\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.04, ax3pos.y0, 0.035, ax3pos.height])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.set_label('$\\degree$C', fontsize=fontsize, labelpad=7)\n", + "cbar3.set_ticks([i for i in numpy.arange(-0.75,0.751,0.25)])\n", + "\n", + "handles, labels = ax2.get_legend_handles_labels()\n", + "legend = ax2.legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(0.05,0.9), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax2.transAxes, \\\n", + " loc='upper left', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_xkzh_terms_background_and_percent_change_AND_theta_zcoords.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 240, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:37: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:45: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,4))\n", + "\n", + "levels = numpy.arange(0,401,25)\n", + "ax1 = fig.add_subplot(221)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "contour_lines1 = ax1.contour(xx-4, pp/100., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", + " colors='0.1', linewidths=[0.5], \\\n", + " levels=[1,5])\n", + "ax1.clabel(contour_lines1, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax1.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "\n", + "ax3 = fig.add_subplot(223)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " xkzm3d_400_latlon_mean.T, \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "contour_lines3 = ax3.contour(xx-4, pp/100., \\\n", + " xkzm3d_400_latlon_mean.T, \\\n", + " colors='0.1', linewidths=[0.5], \\\n", + " levels=[1,5])\n", + "ax3.clabel(contour_lines3, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s='(a) control K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax3.text(s='(c) control K$_{\\,m}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "\n", + "\n", + "levels = numpy.arange(0,501,20)\n", + "ax2 = fig.add_subplot(222)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " (xkzh3d_diffs_latlon_mean.T/xkzh3d_400_latlon_mean.T)*100., \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "ax2.set_ylim(1013.25,700)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "ax4 = fig.add_subplot(224)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot4 = ax4.contourf(xx-4, pp/100., \\\n", + " (xkzm3d_diffs_latlon_mean.T/xkzm3d_400_latlon_mean.T)*100., \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "ax4.set_ylim(1013.25,700)\n", + "ax4.set_xlim(6,18)\n", + "ax4.set_xlabel('hour', fontsize=fontsize)\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "ax4.set_yticks([700,800,900,1000])\n", + "ax2.text(s='(b) $\\Delta$ K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ K$_{\\,m}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2, w_pad=8)\n", + "\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.025, ax3pos.y0, 0.0175, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.set_label('m$^{\\,2}$s$^{\\,-1}$', fontsize=fontsize, labelpad=7)\n", + "\n", + "\n", + "ax2pos = ax2.get_position()\n", + "ax4pos = ax4.get_position()\n", + "cbar_ax4 = fig.add_axes([ax4pos.x1+0.025, ax4pos.y0, 0.0175, ax2pos.y1-ax4pos.y0])\n", + "cbar4 = fig.colorbar(contour_plot4, cax=cbar_ax4)\n", + "cbar_ax4.tick_params(labelsize=fontsize)\n", + "cbar4.set_label('% change', fontsize=fontsize, labelpad=7)\n", + "cbar4.set_ticks([i for i in range(0,501,100)])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_xkzm_xkzh_terms_background_and_percent_change.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# draw PBLH and DELTA_YSU on these plots (must convert into height, not pressure)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "u winds" + ] + }, + { + "cell_type": "code", + "execution_count": 226, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.2,0.21,0.02)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " duadt_diffs_latlon_mean.T*3600., \\\n", + " cmap=cmocean.cm.curl, \\\n", + " levels=levels,\\\n", + " extend='both')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rublten_diffs_latlon_mean.T*3600., \\\n", + " cmap=cmocean.cm.curl, \\\n", + " levels=levels,\\\n", + " extend='both')\n", + "ax2.set_ylim(1013.25,700)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rucuten_diffs_latlon_mean.T*3600.*1e10, \\\n", + " cmap=cmocean.cm.curl, \\\n", + " levels=levels, \\\n", + " extend='both')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s='(a) $\\Delta$ du/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ du/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ du/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot1, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.set_label('m s$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.2,-.1,0,.1,.2])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_duadt_day1.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 264, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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a3NPbmxH6RuPt9bz2aoJbT8CzUGmMasJfzZ5qop9HCKdWjqZm8ze1+uUwaPnVGbr2p2p3evTHLR2jbNQUeUkTgR8TMkHeDxycyCPj9CjdFPd033al5IXs4p4W0kYE/Y/vL8zcN2a7QStUPVZW0a8l9t0I4XQqCZ8n9+s+9Tz5qcAdhMRh+wM/Aj7WaaOc3qEduWWWGbOBKZCNhGSyiHszol5pjKTQV7KhntjniQtxuagn8lsBO5vZIkn/ArzUBZucDhOLaLs8+kreeaOVkxrN2tiKuNcS4WrtWcW/2v6QTdhrxeirefAxRfbgnfyoJ/KDzWwRgJm9JcnTIJSInSes0bGpkp1Kx9uquDdLLfFvVdih/gPYWgLfrli8C3w5cdHuc9rt1Wc9XjXqCTvUFveswl5PnLNSbYxWvfaYbog7uMCXmbqevKT/jv4WMCzxGgAzq/Oo2+kFOin2zRbQ6IS4d5J2CTt0JzQT4wJfbuqJ/AGp1z9j6QIo4YuhSkej6XZboV/EvdHFUN3y3p3+oKbIm9nlAJI+QkhfsE5in1jkp3XSQKdcZBV26Ly4txqyqSXu7RR26Jy4uxdffrLG5H8KXA2cCizpnDlOGam1AKbRxUtF9tzbLewxLvBOK2QV+dWAM8zs3U4a45SHRlP65iXujXjzlcS9EWHPKuoxnQzNuMD3D1lF/nJCnprz2nlwSYcR0iWsDPw8Osai6DgHAguB083skqj/usAVhPn7DwFfNbOZ7bTJaY4sy9UbDclAcT33dj1ArUQeuWic8lIvrcFMQtx9MLCBpJMJC6I+uOrNbGIzB5a0HXAysHs05vXAPwEvALsRUimMAW6TdI+ZPUiI/98OfAo4hBBC2ryZ4zut0UgOkqJ47dWo5s03I+7NiHoSf7DqtJt6nvyhHTz2Z4GrzGwGgKQLCA935wDfM7PngeclXQ3sLWkusAWwm5m9K+k84CRJG5vZrA7a6US0IuxQPHFvZI57KytR69FNYXcvvv+oN7vm9g4eexghHBMjYF1gTeDBRPsMgme/GTAzfi5gZu9LmgWsD7jId5isAt8pcX9h0QLWHLpiJhvqkdVrh86Iu3vrTjfJc8Xr/wL/IelSYAFwJCEsNAp4PdHvzagt3Z7ctgySDgYOBlhjzTXbani/kXe8/YVFC+oePwvtCMm4sDu9Rm4ib2Y3S9oC+APwHnADwZMfASyf6DoCeA2Yn2pPbqs0/lRCFk0mTS5wyr8CUzRxb9abT4t7t7x2F3anCOQm8pImAL80szOi1wcAawBrAZMI9WMhPID9C/AYsImkQVGoZhCwEWGWjdNmGp0CCe1dvNQO7z2LuLuwO2Unz3DNVsDpknYilBU8AfgGsAHwbUm3R3/vA2xvZk9Img0cI+kiwtTLR6IHtE4LdPKBarvFPYs3321xd2F3ikyeIn89oQDJo8Bi4Ltmdquk3wOTgWcIIZqjE9Wo9ifMkz8DuI9Qe9apQTtrcbZSfSnLTJlWvfcsMXcXd6ffyDMm/z5h8dMRqfYlwOHRT3qf2cA2XTGwoORRQLnT4t4qrXjuLuxO2fF88jlS9Ir33S7QUSsMUylMU0/c2yHsLupOr+Mi32V6SdihOAuYkgLfSXEvs6j7Qqj+xEW+C/SasEN7QjJxjL0di5g6FZIps6g7DrjId4xeF3bIf347dEbc+1HY3YsfiKQ9gO8TVtj/CjjQzN6s0vdO4Dgz+1P0WlRJolhEXOTbSBmEHWpPgYTmVqY24tW3ujLVxd2phaSVCckNDyAkPJxKmLF3dKrfHsDngPSFcwDVkygWDhf5Fim6sEP9ODvU99qhPWkHann1nZrf7uLupNgTeMDMbgCQdA7Bmz861e+jBI1MX+D7UiGJIgNzbhUGF/kmKbq4t0vYoXrCsHbR7gepLuoD8VDNMmzKQEF+BFhN0opm9sGFbWanAEjarc7+cRLFQuIiXzLaIe6dFPVGpkGmxd1F3Vm80lAWTl6pdqffsKqk6YmWqVEuq5hRhMWWAESpyxdH7Vku9GpJFAuJi3wJaOYhKgwU97Swt9NTh/aKu4t6dvrUi59jZlNqbB+Q7FDSMIIWVkx2WG9/aiRKLAIu8k0yb+io3EI2lUQ9ppUZMu0W9pisc9xribsLu9NGZhHi8jGbAI+b2dsN7F8piWIhcZHvEWoJOzQm7p322mNqee/dFPdmvNmiP3NxWuIG4FxJOxDi8WcBVzWw/5VUSKLYdivbhIt8QWlU1GOyZoDshLDXF/Ug7ElRb1copt1hieR4LvjlwszmSvoKoWb0WOBa4GxJ+wPfMbP16wxxKdWTKBYOF/kmafcHvxlRryzo4Xe3wzDQuKg3Kuh5xZfj4/aa2PdpPD4TZnYTcFOqeVr0k+47PvW6ahLFIuIinyONxNahkqh3T9BjqsXXOyHqUCyh6lWxd/obF/kmaOZDXs9ThyzFN8ov6lAsYa+Ei73TS7jId4hGRb1a6KU4gg5gNePp0PveeiPkOcPKcbLiIl+HrB/iVma/5OGlt+MhaUyvxNY7QZGFvppdZXr/nfq4yEc0+kHNGk+vPtul97z0NFnFveyiUmShr0QtW8v+v+pH+k7k2ynm0HjIBfITdBjopUP21AFJXNzLS9bPh/9ve4e+EPnBtiTTxduMdw7FiKFD9hS9UDubYzvoNxEoijdfq2RjK8Rf/vEXfKPnGl8Ptz35YttscrLRNZFPJt6vlXRf0rrAFcBWwEPAV81sZrRtP+BsQjKgK4FvmtniZuxprWhG98Q8a1remGqiHtNMqt4knl6gOt0S+vjaja/X+Dqttaq5de6JrrmLP7jG4mtp9JY7ZrouXODzQWa1RaHlAyxNvH8I8JFI5A8EjgI+SZR0H9jdzB6MvgzuAP412mcfM9tc0obAPcDfAU8AvwCuM7P/qGfDlClTbPr06fW6OY7TBSTdXyeBWLX9xi+3wUefWuUzp9bs9/y/7f6AmW3VtIElY1AXjlEp8f4HSffN7GFClZa9JX0I2ILg2b9B8PbHS9oY+DJwvZn90cxeAf4d+FIX7Hccx+lZOi7yZnaKmX0dmJtorpR0f31gM2Cmmb0b7fs+IePb+jX2cRzHcarQDU++EtWS7qfba20rdKJ+x3GcIpCXyFdLup9ur7WtZqJ+SQdLmi5p+quvvtoWox3HcXqNvEQ+TrofEyfdfwzYRNIggOj3RoRZNtX2qYiZTTWzKWY2ZezYsW0233EcpzfIS+TjpPtjJG1DSLp/rZk9AcwGjpG0PHAK8EhUFf1nwJclTZS0ZrStkUT/juM4fUdeIn8p8GdC0v3rGJh0f3/gH4B5wK7AVwDMbAZwEnAr8CjwO+Dy7prtOI7TW3RtMVQy8X6tpPtmNhvYpsoYlxK+IBri/vvvXyDpsUb36wKrAnPyNqICbldjuF2NsVHeBvQTfZHWAHismcUXnUbSdLcrO25XYxTZrrxt6CfyCtc4juM4XcBF3nEcp8T0i8hPzduAKrhdjeF2NYbb5XQ+QZnjOE478ARlzdEvnrzjOE5fUmqRlzRB0u8lLZT0qKSd8rYJQNJxkp6TtCCyb+Oc7blT0rbR35J0vqTXJb0g6dCC2DVC0k8kvSHpJUkXSBqat12p9u9KuiUPm6LjD7BL0r6Sno7+l7+UNLoItkkaK+mGyK5Xo//l4CzjjFkRtt3Aav44Aym1yAPXEBZN/Q0hP/2V+ZoD0QrfY4AdgFUIOfIvzsmWPSRdQkgHHXMAsBshbcQewJmStiiAXScAG0d2bQ78LXBYAeyKt20BHNtNexLHXsYuSZsD5xNSdI8DhgHHF8E24HRCLqrVCf/LXQmr3p0OUFqRl7QlYTHIGWa20MwuB/bK6jF0kCWEIqvxGoXBhNW9eZA5138B7NodONfMnjOzl4D/IohD3nYR3VFcSn4PFCvZdQBwiZndbWZvAl8DphXEtsUE7RkEiHw/A6WnzIuhtgIeBy6X9CngKeCwaLVtbpjZdEk3EnL0ALxN8GbysOUUAEm7JZor5e1Pbs/Lrq8DzyZeTwFeKIBdACcS0m3MBDbspk017NoKuE3SA8CHgJuAIwpi2+nAAywV/luBX3XZtL6htJ48wYvfFfgNsDZwGXCDpOXyNErSroRyiFsCI4GfUIAwUoJC5u03sxlm9qakFSRdCHyeEILLFUmTCHc6p+VsSppVgS8CexG+eD5EENcicD4hTDmaEIJbhy6H3vqJMos8wMNmdqWZvW1mFwNDyT9vxmeBK8zsQTNbQIg1T5E0Jme7YhrK299NJO1C8JYnAFua2VM52zMI+DFwhJm9nactVfihmT1hZvMIwrpL3gZFfBY4zcxeN7PHgAsJz3+cDlDmcM3TBFEHwqwRwpda3h/GtwgxyJjFhDh93nbFxHn746ygNfP2d4uoIPzPgEPN7Od52xMxklCT+Nfh8mIwMEjSS2a2eq6Wpa5/inHtx7yVer0IWJiHIf1AmT35W4A1JX09yk1/BCG18eO1d+s4NwP7Stoysus04JYCeYIVc/3nbBPAqcC3CiTwRJ7oUDNbzsyWAw4CflsAgYfwhXiYpI2ju8RjgKK8dzcBp0oaLWkd4BvA9TnbVFpKK/Jm9hrwceAQ4GXCLeIXLeclvmZ2J+FB3TXAS4SY5IF52pSiVq7/PNkU+JGkxYmfW/M2qsD8BPgBS+sv3Ad8P0+DEhxDeNbzf8BdwNVmdl2+JpUXT2vgOE5PIGn8mlt89KmPHPqdmv2uP+TjntYgQWk9ecdxHMdF3nEcp9S4yDuO45QYF3nHcZwS4yLvOI5TYlzkHcdxSoyLvOM4TolxkXccxykxLvKO4zglxkXecRynxPSdyEs6StLekmZV2X6QpH07ePzxkt7J2PdwSSfU2l+SSaqaECtxvsdKekLSsMQ2SbpX0vei1+tEtUDnRj83JuvPRscanxr/q5J+X+XYNW1rhEbetwbH/ZikR1rYv6PXi+O0Sl+JvKRRwP7AnBrdpgFHRxki6413jqT31blC3HsSMvY1ReJ8rwMuIKSaPTLRZV9gDZYWk7gWuJ9QZGV94F7gfySVNiW1md1uZpNaGCLz9eI4edBXIk9IBXsDIX/7EEnflzRP0v1R4WPM7F3gNkKNzKpEH+r9CRWnjqzT9yBJL0uaS0irGrfvJ+lFSXMkHZfy0EcCa5vZjBr7xx7oc5JWq3a+ZrbEzBYDhwMnSVo1sv8sQvreBZJGAFsDF5rZW2b2mpmdCdwNVBq7JmnbJO0q6SFJCyRdExdJkbRTdDdxgaRXJc2S9Le13rdoWzPjfTp6/Yak6ySNiPrPqjdutO3s6A7npegLflDW68Vx8qLfRP4LwO+iv9cj1H0dR8hl/TOFSj9EfT5TZ6x9CR/uU4F/lLRypU6S1gfOjY69HqEIB5LWJXjXn4/adkzt+gngN9X2B0h4oOPM7OU654uZ3UG4MzgN+DbwaJzi1czeItRzvV7SlyWtFbXvbWbP13kvliFpG6F4xVXAodHrt4HzEt23Bp4n3EHcDPxrrfOWNK6J8cYDlxPy468JjAG+lbS51riSdiKUbZxAqMn7ecL/CLJdL06BkLSHpMclLYy+zEdm7SNpPUnvSXon8bNz988iG30j8pGAb00QMoAXzey8SNzOBdYifIABHgK2qzPkN4GLzew54H8IhaYrsTdwnZndZWbzWRoa+RLwCzO728xeAU5J7ff3wI019q9JhfONOS469reic0iyG6HA8onAs5JmSzo0w+Hq5aveh3AOf4zO4VRCfv+YV4FzzewdgiivTe3zbma8LwE3mtn9UdnFwwnhqEbsXA3YHXiDUKM3/gLNcr04BSFyyK4mfBbGAQLOaKDPesC1cbGY6Oe2btnfKH0j8sAqhPONi1S/GG8ws0UEYVglapoHrBDFtJdBodaomdkfoqb/BI6QNLhC93HAs4nXL0S/P0QozBHzgScejfMR4M4a+9cjfb4QjH6ZEGK62cxmJ44p4BUzO97MNgVWBv6F4AXvFHVLly4kel2vdNs6wMGx10MoMThSS4uqz0sUc3mHUJay1nk3M96HgCcT78NMM/ttVjvN7PfA0YTQ3MuEClrx3VvN68UpHHsCD5jZDVFxoXMITkDWPusCT3TN2hbpJ5GPHx4q+r1GvEFhxslqwF+jpvdTv9ONg4SYAAAgAElEQVQcCVwUvzCzuwgPcz9Xoe/LBIGJif+eAyRnnoxL/L09cF8UR6+2fz3S55tkIcvW2dyDhGdrZm+Y2ZWEu5TNouZngA1T+01g4JdVJV4Bzk+UyVsJ2CbytKtR67ybGW8uiWcLkj5SYVZM1XElbUb40O9IuDMw4Nhov3rXi1MsNgUeTLx+BFhN0ooZ+6wLfFLSc5KeVWoGXNHoJ5F/leDVxd7XGpK+IWk44ZZsupnF3uIY4O3otn4AUSx9R4Inl+RCgqeX5nrgC5GojAZOitpvAvaSNDGK9Z2U2GdPQqim1v4xS4BVM5xvPf4IrC7pBEljJa0o6RPAztE2CLev/ybpw5KGRHc0hxLqiVYitu164EuSNpG0AiHOfWIde2qddzPj/YLwfk+WtArw78ByqT61xt0a+C9JaxAEfjnCeww1rhcnF1aVND3xc3Bq+ygSd7jRw/PFUXuWPkYoqzgJ+DvgUEn7dORM2kBpp8alMbPFku4FJkdN9wM7AOcT4tbJf9IkwqySShwBrAA8FiIcHzCYIJJTzGx64rgPSzqWMI1xCHAmsJuZ3SvpZOC3wHBC/c34Qd4niOJ/1fZPHPdG4H5J48wsFp30+f6+ztuDmb0haQ/ge4QvvSGEWq9fNbP7om7nACMI3v2qhBqdR0d1aytxI+F9HgecQIiPr06IZdesa1vrvKNtjY73oKR/Bn5F+P9dAfyYxAPvOuNOI9xhPUJwjm4mfLFD7evFaSNjRwxm53VG1OxzPcwxsyk1uswHPpjyGt3JDwFey9LHzJIOxXxJ3wc+zbKOXyHoqxqvkr4NrGRm6Yec6X5nA8+Z2UW1+rWTaPbHrChM0K4xM52v0xp5XC/9iKTxm23/sacOOuW7Nfsd8YmP1qzxKulAYE8z+0z0ejPCg9QNs/SJnIWpZjYn2nYisJ6ZVZt8kSv9FK4B+BHwadVY3CNpKMGTvqxrVnWOuufrtEbJrpd+4QZgB0k7RLNoziJMnc3aZxfgDEmjJE0GDgN+3iXbG6avRD6aFvdDln2SnmQf4JJoamVPk/F8ndYozfXSL5jZXOArhBDcXwkP3M+WtL+kJ2r1iYY4gDDh4AXCs56zKszUKgy5hWuiePTJqebBwNcIi1WOj9ouMrNTo33GAD8FPgY8DRwSzWxxHKfktCtc02/k5smb2ZnJxQSEh6CzCA8/joxebwXsIylekHIB4Rt1LcKDuOuUSLjlOI7jDKQQ4ZooZnw5YRXiFwm3vzPN7BngB4RpbcOjbSeb2Xwzu5owhW2XvOx2HMcpOoUQecJc62ei3CrpRQgzCBkRNwQWRGkE0tscx3GcCuQ+6yLKsXIssFfUNGARAvBm1JZuT26rNO7BwMEAy48YsdWECRMqdes5BtuSvE1oC0sqZoBw+oEZjzwyx8zG5m1Hv5C7yBMWEbySWHAzYBECYfHNaxXak9uWwcymAlMBJk2ebNf84v+10+auM2bRG3mb0FbmDfU0L/3Khzdcr14aDKeNFCFc8zVCsYqYWYQVhDETgb8QZtOsrER+78S20jJm0Rsu8I7jNE2uIh9lPtyRkAci5krgMElrSdqIkA/mKjNbSFgmf5qk5aMVaSOBe7ptdzcoo7iDC7zjdJu8wzWTCCGYh+IGM7tF0jTgYUJCoHOiNK8ARxFyjswjePxfNCtJkDqijMIe4wLvON0nV5E3s4cJcfV0+xmkkvhH7S8DH++CaV2lzMIe4wLvOPmQtyff1xRR3F2MHadcuMg7gIu745SVIsyucXLGBd5xyot78n2Mi7vjlB/35PsUF3jH6Q/ck+9DXOAdJ18k/QbYBHiGUDMWQIBFxeLbhot8H+Hi7jiF4ZOE9UG7RUXCO4aLfJ/gAp8ftz35YtvH3HnCGm0f0+keZva+pL06LfDgIl96XNw7SycEvF3H9S+CYmNmj3bjOC7yJcYFvnPkJe6NENvoYt/fuMiXEBf3ztEL4p7Gxb74SPqOmZ3eibF9CmXJcIHvDLc9+WJPCnySXre/5OzWqYHdky8RLvDtp2zC6F59/+EinyMuysWlbOKe5rYnX3ShLxbq1MAu8k5fU3YxLxtjV1iurF9O/92pgV3knb6i30W9pALZ85jZ2Z0a20XeKTX9Lurgwt7vuMg7paMfhd2FvLeRNAi4H5jS7pKmfSHyg8tVBtapQCPCftszbwGw8zrLVJ4sDEUQ7SJWLisrUZqD+4GDgEvaOXZfiLxTThr12GNxr/S6CIKft7C7qOfOpsDXJH0HmJ/cYGYTmx00V5GXdBxwFDAamA4cCjwGnAccCCwETjezS6L+6wJXAFsRMrh91cxmZjnWmEVv+JTFHqfZMExa3Ov1yUPw8xB4F/XCcVwnBs1N5CVtAxwDbAe8AJwOXAxcSVj9NREYA9wm6R4zexCYBtwOfAo4BLga2DzrMV3oe5N2i/ufHg9TkrfdwCpu73Y4p1sC76JebMzs9k6Mm6cnv4SQLD+2YTAwD9gX+J6ZPQ88L+lqYG9Jc4EtiPIvSzoPOEnSxmY2Kwf7nQ7TKXFPv64n9tAZwe+UuLuY9yaSZrK0gMgAejJcY2bTJd0IzI6a3iZ45XcDDya6ziB49psBM+P8y9GDilnA+kBmkXdvvjdoRuCzinu17dXEPj12OwS/msC7QPc1hyb+HgT8DfAV4L5WBs0zXLMr8DlgS+Bx4HuEUM0o4PVE1zejtnR7clul8Q8GDgZYa438Zyo42eimuFfrX0vsk8drVuxd4J1KVArXSLqO4Pie2uy4eYZrPgtcEcXakXQCQcQXA8sn+o0AXiM8bV4+NUa8bRnMbCowFWCzSRMHfGrdmy8e3RD3FR5O+wiBhZNXqrp/Fu8+q9jXCs+4wDtVGE14Ntk0eYr8W4Q4fMxiQpz+z8AkgncP4QHsXwizbjaRNCgK1QwCNiLMsnF6mFanQsY0Ku7p7WmxT45ZT+zrCb177049KsTkBwEfAs5pZdw8Rf5m4FpJVwEzgdOAW6L2b0u6HdgA2AfY3syekDQbOEbSRcDxwCPRA9qGcW8+f/L03qv1rST08fj1wjjVcIF3MnJo6vX7wHNm9lQrg+b54PVOSScC1wBjCVMjDwTmAJOBZwghmqPNLPbq9yfMkz+D8DBiv1ZsaPRD5l8K7aGVtANJjzkp+EkBTgp+UrQrCX41UU+PWc+WZbY1IeyvP3hXzeO1wkpbfLRjYzvtIY7JS/obwkPXZ82sZU8g18VQZnYZcFmFTYdHP+n+s4FtOm2X0znamVemksje9sxbFcX5T4+raUHPEnMvmqg7vYekcSxd+/MGsIqk/wYOM7OXmh3X0xo4XaFVcc8S94bGhD/Lvsv0qTO3vaii/vqDd7k3X3wuJkQ0djazxZJWIoSxf0xYANoUfSHySzS4fienY7Qi8FlSEtSj0amOWRcpFVXQnZ5lB+AfzWwxgJm9LukU4OVWBu0LkXfyod3intWbz0oWMc/63MZF3WkDfyXk5UrOl58EtHQbnFnkJX0YWCXRNJwwz331VgxwykG7Yu3t8NzrkRb3bgr5/AfuqLl99JY7tnwMp2c5DvhllAngCWBt4B+AI1sZNJPISzoT+AbwLqHgrBFmxJzbysGd3qXdhTm6Ke7tCrPUE+xmiMd0se8/zOw3kjYHvkyYH/8i8DEze7iVcbN68gcAWxNWX33LzPaTdDywXCsHd3qHTlVb6rbnHgt8PTHvhIA3got9/yFpW0I23nVZqs37S8LMJjQ7blaRH0mIF71CSBQGoXrJ45FRTsnoRgm9PLz3WNwbFfF59zXnTI3ZenJT+8W42PcVVxKmUJ5GWP3fFrKK/F0EUT8WGCppd2AFqqTFdHqTbtVGLZK4NyveALMfDouuNpxc/WOQdfx6XwbzH7ijZaH3aZRLkbQH8H1gTeBXwIFm9maWPpJElcJGLbIacEacabddZBX5/QhpBEYD3yIsYBoMHNFOY5z8KKvnDssKfC3hjYW7ESrtU0v4K5G0qZrg5+XV11rp3YupGSStTPCYDyDMZJlKWEV/dMY+B1C9sFErXE7Q1PNaHGcAmUTezOYQRB7gaWBcO43oBvOGjurJC7LT9Jq4V5tGWSvunhb3RoX8j+8vzNRvu0ErfPB3+hiNiH5sZxHEvl4qj2rbC/5Z2xN4wMxuAJB0DsFTPzpjn4qFjRhYByMzicRkg4ENJJ0MvEQiUtKxoiGSJhJWW00E7gcOTuSRcXqYXhP3WtQLzSS95Fh8swp3PV5YtIA1h65YccxWRT9vsW8lV1PB8zxtykBBfgRYTdKKZragXp8K2+LCRs2STkzWVup58lOBOwixp/2BHwEf66RBTjnIM+4O1b33pBC/sGgB7SAeJxb7mOSxkoKftKfRsI6TiVUlTU+8nhrVl4gZRUiACEBUTnRx1L4gQ59qhY2aolO1XWPqifxWhDwKiyT9C+EWwikByfBGtx64tkocpmkk7p4W93YJe0xa2JOkhT0mq7DXexjbqAffyEPXonriw95flCUUNMfMptTYPqAAkaRhBC18LWOfdAGjqsWLikA9kR9sZosAzOwtSZ4GoYQUXfDbIe7QHYGvJuyQn7iDpxpOMYsQc4/ZBHjczN7O0ieqLV2psFEhcdF2BrDzhDUKI/TJB6xZ4+7J2Hc3vfdOe+3QvVk1RfXi28gNwLmSdiDE2s8Crmqgz5VUKGzUDcOboa4nH+UzhpDOYFjiNQBm1nQKTKeYFEHoq3nvjTxU7bS4t+q1Z10o1aq4uxc/EDObK+krwDRCepZrgbMl7Q98x8zWr9YnGuJSqhc2Khz1RP6A1OufsXRaj/DFUKUlL6HPKu6Qb9y9ksC3U9ghn1WufeDFA2BmNwE3pZqnRT+1+mBmS6hS2KiI1BR5M7scQNJHCOkL1knsE4v8tMp7O71OLLTdEPt64g7FeKiaFvd6wt5MWoN2irt78cVE0m8Icf5nSDnOZtbWb/esMfmfElZ/nUobcyo4vUGjXn0j0yeL+FC1Vc+92Xw17fbcGxX4fvHiC8IngYeA3dqdxiBNVpHvSE4Fp3dod/imVx6qZhX3vD12p7cws/cl7dUNTc0q8h3JqSDpMEK6hJWBn0fHWESV5D+S1gWuIMzffwj4qpnNbKdN/UrSg67m0bVL6Hv1oWpa3BsV9m6IerPhGffiu4+ZPdqN49RLa9CxnAqStgNOBnaPxrwe+CfgBaon/5lGSBb0KeAQllY2dxqk1oKSMYve6IjQ98JD1XZ67t3y1D3u3vtI+o6ZdSRtez1PvpM5FT4LXGVmMwAkXUB4uDuHCsl/JM0FtiCKYUk6DzhJ0sZmNivLAVvxVgqecKlh6iVsa6fQF+2harMPVDuxSKkRXMxLzW50qDZHvdk1ncypMIwQjokRoSLKmlRO/rMZMDOOYUUxrVnA+oTVaR2ljLez9TII1voSqF0Ee+AXQFE991aFvVOi3m0xL+O17SwlzxWv/wv8h6RLCUmBjiSEhaol/0m3J7ctg6SDgYMB1lhzzbYaXnaypGVu5AugaDH3pLjnLezunTsRjRcyyEhuIm9mN0vaAvgD8B5hGfG6hGQ/lZL/pJMCJbdVGn8qIYsmkyZ7qr9ukv4CyDO/DCwV+FriXk3Yfc660yX+u36X5shN5CVNAH5pZmdErw8A1gDWonLyn8eATSQNikI1g4CNCLNsnDbTapGVvNL+pkkLfFLcOynsLuhOI5jZ2fV7NUee4ZqtgNMl7UQoK3gC8A1Cwp9lkv+Y2ROSZgPHSLqIMPXykegBbd9RSYDbHVttVOgrCTvkK+6wrMBXEvdWhN0F3SkyeYr89YQCJI8Ci4Hvmtmtkn5P9eQ/+xPmyZ8B3EeoPds3ZImTtyL08YyZ2g9VB1JP2KG74g7ZvHcXdadfyDMm/z5h8dMRqfaqyX/MbDawTVcMLAiNhkyaFfrklMjbnnzxA6Gv5M03IuzQuYepaWrF3lsR9zKLus+sKQ6SnqJy0sfFwFzCZJWzUnnv6+L55AtMszHxLKtX0ySTkVUqig3ZwzHQfWGH6mGZTlZQ6nVavftz2sqPgJ2A7xIWiG4IHAPcQxD444EfAF9tZFAX+QLT6sNPqP5FUWuhU6V9a81th85PgUxTOSRjA+LtjYh7Pwm7U1gOAz5sZvOj17Mk/ZHw7PGfJD1MmIDy1UYGdZHvU2qJfz3vPS9xb6ewu6g7BWQxsDbhWWTMGJbOoR9KmG7eEH0h8oNtSSaPuIi3re3w5hshq8B3W9xd2DuHh2wKw4nA7yRdDzxLqEi1N/DvksYBdxPCNQ3RFyKflXpimtcHodtCXwRxrzZDppk4u4u70wuY2VWS7gP+geDRvwUcZGa/kjQa2KeZVDMu8j1Cp4Q+KehpkgKfp7h7nN3pByR908wuJBQNj9smSvqtme1OyMDbMC7yPUSlO4mswl9LzNNU8t47Ke7LhmNgzNaTAJ8Z0y08ZFMIDpU01sy+I2llQlbKA4HLWhnURb7HiT+YtcQ+i8BX9tpDGb9OJQvbbtAKLuqOs5QdgJslbUVYD/QnYKtWCyO5yJeEauGcegI//4E7lhH27oi6L05ynCRmNk/SrsC1wGzgM9Hi0JZwkc9IL97KVhP4Tgt7rbi6i7rjDCRRgS9mKLAe8KSkhdB8BT7oE5FfosE9KdKtkBb4WNghjrG3T9irz4TxEIzTXha9Preh50s9Qicr8PWHyHeKdsx26cSXT3J1alrYofUYe/UcMc157N0U9fT7Xbayjs3Sb05QkehwBT4X+WZopzC0Y6xY1J9JPTxt54yYeoU3Gp3mmIe3XknIur0GoYi4wJcbF/keI0uVpXaGYerVQU3nZq8m8HmHYFzInH7FRb7AZC2b105PHZorcF1J3PMW9ph6At/P3rx/+ZUfF/kCUE/MoXOCDsuKOmQvcF0Wz72fhd4pBp5PvgC0M34OtTz0t6runxToLIKfRdCTZBV3KJbAt8MjdaF3csbzyXeLdn3Qs+dgry7qtUgLflrQobaoVxL0mGrCDrUfrOY5U6ZdY7rQOznh+eQ7Qae8c6gWdlkq6NWEuVG2G7QCDK8s5rWEHGqLeZp6s2Y6LfDdih9nSRVRFrqRs6Yf3sc24fnkWyVPD71aaKWRGHv1UncDUwW0mzynROb5YLBfvPp6eY/i63z0lju2/H++/q8L63fqX3o7n7ykO4HjzOxPkgScR8iwthA43cwuifqtC1wBbAU8BHw1TtAjaT/gbGAUcCXwTTNbXO/YWYuGJKm0qq62qHc7U2NrqQJg4PmkyXsxU1FmfZRd6F9/8C6e/OFFH6yrqH3t3jrgVXxNbnvApExfAPOGjuK2Z15tg9XlJMonfy+wF72UT17SHsDngOQVcACwGzCRcDtym6R7zOxBYBohb/KngEOAq4HNJW0I/Cfwd8ATwC+AI4D/aNSm1SduzmNXfn+Z9o32OYJ7jt1rQNs2513Dr3fc5IPXn7xjJhesPJGjXpvJ3iutw89ff4azRqzSqAkNcedbc9l7pXU46rVHuWDliXzyjpn8esdN2Oa8awAqnksWtjnvmmXON2ajfY7IPO7qEzfnpUf/3JQN1Zi4wQQeffzJto7ZrB3tPrdusPrEzSu279DGa/WFRQu4jgVc94OXSX8B3PnW3GVtAq7bYAI6pG0mlA4ze4JEPvlE+3yazCcvs9ox21aRdAawBuG2Y/fIk78N+C8z+2nU50KCR38x8Ciwipm9K2kQMA/YNtp/bTP7erTPFwh3BtvWs2HKlCk2ffr0Dpyd4ziNIul+M5vSxH7jd996s6cuPOrrNfttvO83HzCzrZo2sGQM6vQBzOyUSJiTX+2bAg8mXs8A1gc2A2aa2bvRvu8Ds6Jt1fZxHMdxqtBxka/CKOD1xOs3o7Z0e61tcbvjOI5ThbxEfj6wfOL1COC1Cu21tsXtFZF0sKTpkqa/+qo/7HEcpz/JS+RnAZMSrycCfyFM9N8kisUT/d6IMMum2j4VMbOpZjbFzKaMHTu2zeY7juP0BnmJ/JXAtyWNkbQNsA9wbfRkeTZwjKTlgVMIq72eB34GfDmqXr5mtO2qnOx3HMfpCfIS+UuBPwPPANcBR5vZ49G2/YF/IMyq2RX4CoCZzQBOIszVehT4HXB5d812HMfpLbq2GMrMxif+XgIcHv2k+80mVCqvNMalhC+Ihrj//vsXSHqs0f26wKrAnLyNqIDb1RhuV2NslLcB/US/pDV4rJl5uZ1G0nS3KztuV2MU2a68begn8grXOI7jOF3ARd5xHKfE9IvIT83bgCq4XY3hdjWG29UgkvaQ9LikhZKukTSykX6S1pP0nqR3Ej87d/csBtIXIm9mhbyo3K7GcLsaw+1qDEkrExIiHgeMI+RxP6PBfusRpoMvl/i5rRv2V6MvRN5xHCcDewIPmNkNZvYacA7wpQb7rUvIklsYSi3ykiZI+n10S/WopJ3ytglA0nGSnpO0ILJv45ztuVPSttHfknS+pNclvSDp0ILYNULSTyS9IeklSRdIGpq3Xan270q6JQ+bouMPsEvSvpKejv6Xv4xykudum6Sxkm6I7Ho1+l8Ozsu2BOkkiI8Aq0lKl2+r1W9d4JPR5/tZSSd01OIMlFrkgWsIi6b+BvhXwkrbXIlW+B4D7ACsQijSe3FOtuwh6RKq5/rfAzhT0hYFsOsEYOPIrs2BvyXUxMzbrnjbFsCx3bQncexl7JK0OXA+8GVCSGEYoRB07rYBpxNyUa1O+F/uSlj1njcDkiBG2XAXs2wixFr9jLBgcxKh9sWhknI9t9LOk5e0JWExyBkWkuZfLukJSYOjxVh5sYRwIcTv/WDC6t48+GhkR7Ic0L7A96JUEs9LupqQy//BCvt3067dgXPN7DkASf9FuG2+IGe7iO4oLiU8UNywi/bUsusA4BIzuxtA0tcIBXqKYNtigoM5iBDPzvwZWPTanJoVzSJWTc3Fn5p8DiDpnwlfNGmuIJEEUdKwyPZ0IsT51fqZ2YnJfpK+D3yaHB3M0oo8oXzg4wRx/xTwFHBYzgKPmU2XdCMhRw/A2wRvJg9bTgGQtFuiuVLe/uT2vOz6OqHuZcwU4IUC2AWhNuetwExyEPkqdm1FqLj2APAh4CZCJbUi2HY68ABLhf9W4FdtPOycWovAzOwsKlRfknQgwXGI2QR43MzeTnWdVa1f9AUy1czilcZDCQWRcqPM4ZpVCbeBvyHUS7wMuEHScnkaJWlXQjnELYGRwE8oQBgpQSHz9pvZDDN7U9IKCpXEPk8IweWKpEmEO53TcjYlzarAFwn1QjckCH0l7zUPzieEKUcTQnDr0OXQWxVuAHaQtEM0g+YsKidBrNVvF+AMSaMkTSac18+7YHtVyizyAA+b2ZVm9raZXUz4Vs07b8ZngSvM7EEzW0CINU+RlMetdCUaytvfTSTtQvCWJwBbmtlTOdszCPgxcEQFb68I/NDMnjCzeQRh3SVvgyI+C5xmZq+b2WPAhYTnP7liZnMJCRGnAX8FXgHOBpC0v6Qn6vUjhMkmEO4yfwGcZWa/7eJpLEOZwzVPE0QdCLNGCF9qeX8Y3yLEIGMWE+L0edsVE+ftj7OC1szb3y0UCsL/DDjUzHL1jBKMBLYAfh0uLwYDgyS9ZGar52pZ6vqnGNd+zFup14vIOaQRY2Y3EUJb6fZpBFGv1+9ZCvCFlaTMnvwtwJqSvq6Qm/4IQmrjx2vv1nFuBvaVtGVk12nALQXyBCvm+s/ZJoBTgW8VSOCJPNGh8aIX4CDgtwUQeAhfiIdJ2ji6SzyGnMMGCW4CTpU0WtI6wDeA63O2qbSUVuSjRQofBw4BXibcIn4xmmmTp113Eh7UXQO8RIhJHpinTSlq5frPk02BH0lanPi5NW+jCsxPgB+wtP7CfcD38zQowTGEZz3/B9wFXG1m1+VrUnlRzprnOI6TCUnjd1p/rafO2XO7mv22Pf/aB8xsqy6ZVXhK68k7juM4LvKO4zilxkXecRynxLjIO47jlBgXecdxnBLjIu84jlNiXOQdx3FKjIu84zhOiXGRdxzHKTEu8o7jOCWm70Re0lGS9q6y7SBJ+3bw2OMlvZOx7+GV6kMmx5Bkkqomw4rPVdKtiXwvJmlJ4vXHJD3Syrkk7ZC0k6RZjY6XGrvmeTVrZztp9n1L7N/Ra81xYvpK5CWNAvYnJN6qxDTg6Cg7ZL2xzpH0vjpXhHtPKqQyzUryXM1sVzMbYmZDCInHPnhtZreb2aQ22dw3tOF9y3ytOU4r9JXIE1LB3mBmSyR9WtIsSW9Iuk7SiKgg722ExP9ViT6Y+xOqTR1Zp+9Bkl6WNJeQUjW5bT9JL0qaI+m4hGc8EljbzGZUGyPhRT4nabVa51rHvgGet6RdJT0kaYGka5LFTBq1I0pX/Kiko+qNndhnwHjV9onsvlfSBZJejf6Xf5vhPW9mvGWulQbft7MlzZX0UuQcDMp6rTlOq/SbyH8B+J2k8cDlhFzpaxIKHH8r6vM74DN1xtmX8AE9FfhHhRJgyyBpfeDc6LjrEQpwxNvWJRSh/nzUvmNi108QyhZWHSPhRY4zs5ernWud80jbO45QxuxQYByhyMR5zdghaQShbucvzeyCWmMnSY5HKHpRa5+tgecJ5R1vBv61zntez4ZK442n+rWS5X3biVDucQKhlu/nCf9fyHatOU5L9I3IK5Rq25pQmPpLwI1mdn9Ugu9w4N6o60NA7Vym8E3gYjN7DvgfQpHpSuxNCJfcZWbzGVhj80vAL8zsbjN7BTglse3vgRszjJHlXBthn+hYf4yOdSohD3+jdgwhFBqZb2YnZRi7GXsAXgXONbN3CKK8dh07mxmv1rWSddzVgN2BNwi1feMv3yzXmuO0RN+IPLAK4XxfJxQ1fjLeYGYzE3UY5wErRDHtZVCoM2pm9oeo6T+BIyQNrtB9HPBs4vULib8/RIiPx7wcjT8Y+AhwZ4YxqpE810ZYBzhY0jtR6GgWMFKh+HkjdqwX2bCNpFUyjN2MPQDzEshkmCsAABn0SURBVEVg3iF8udSys5nxal0rdcc1s98DRxPCei8TKm/Fd341rzXHaQf9JPJxPVsBcwneVWiQPqKlMx3eT/1OcyRwUfzCzO4C5hBuydO8TBCJmOTfc4DkDJJx0e/tgfvMbHGGMaqRPNdGeAU4P1HObiVgm8izbcSO54AdgLtZ6knXGrsZe6pRy85mxqt1rdQdV9JmwANmtiPhzsCAY6P96l1rjtMy/STyrxK8s5UJVdT3kjQ58jT/HYi9uTHA29Gt+QCiOPqOBG8syYUEby3N9cAXImEYDZyU2HZTZMPE6EFrvG1PloZq6o2xBFi1zrk2wvXAlyRtImkFQlz5xCbsWGhmi4DjgAMlTaozdpp4vEb2SZ5DNTubGa/WtZJl3K2B/5K0BkHglyP8f6DGteY47aJvRD7yjO8FJpvZg8A/Ex4Mzgb+BPw46jqJ4IFW4ghgBeAxSc/FP8DZwPaSpqSO+TDBa7sOeIzoYWq07V7gZOC3wFOEuqoQHsr9OssYhC+D+yWNrXautd+VgUTHOoEQj36FEIY4rAU7HiXMQLqg1tgVuBG4n1ADN+s+yXOo9p43YkO8T61rJcu40wjPRh4BniYI/IXRtlrXmuO0hb6q8Srp28BKZnZKjT5nA8+Z2UXV+nSCaBbHrOh2vx3j1T1XJ1/yutZ6FXmN16YYUr9LqfgRcJukf0nEvD9A0lCCJ7191y1rPzXP1cmXkl1rXeO9115n3n0P521GT9E34RqAaHrbDwnT4iqxD3CJmb3VPas6Q4ZzdfKlNNeaU2xy8+QlnUyISScZDHyNsOjk+KjtIjM7NdpnDPBT4GOE+OYh0eyWzJjZJTW2/aSRsdqJmT3Nsg/0Wh2z6rk6+ZLnteb0F7l58mZ2ZjzlLIpD70CYX/waYZriDsBWwD6S4oUlFxAebK0FnAlcJ2lY9613HMfpDQoRrpE0hLB0/HDgi4Tb2Jlm9gzwA8L0tOHRtpPNbL6ZXU2YqbBLXnY7juMUnUKIPCHnxzNmdgewKfBgYtsMYH1gQ2BBlEogvc1xHMepQO6za6I8K8cCe0VNoxi4HP/NqC3dntxWadyDgYMBlh8xYqsJEya00er+ZnDtxJZOBpZUzILRWzR7HTw0Y+YcMxtbv6fTDnIXeeDTwCtmdl/0ej6QzLE9ghCnT7cnty2DmU0FpgJMmjzZrvnF/2unzX3LmEVv5G1CzzNvaHlS1TRzPazx4S2eqd/LaRdFCNd8jZCxMGYWYSVgzETgL4TZNCtrYA7yeJvTBVzgW6dMAu/0BrmKvCQRcsHcmmi+EjhM0lqSNiLkhLnKzBYSlrufJml5SQcCI4F7um13P+IC3zplFPgynlPZyDtcM4kQgnkobjCzWyRNAx4GFgPnROlaAY4CriCkaJ0FfLFe5SOndVzgW8fF0MmLXEU+Suw0okL7GcAZFdpfBj7eBdOcCBf41im7wM8bOsqvkwJThJi845SWsgt8TL+cZy+Sd7jGKTDunbVOo+9hL4tlbLtfN8XCRd6pSFk/qEkRLeI5Jm3qVcF3sS8WHq5xlqGsH85eE80xi97o6f/FvKGjeu49LyPuyTsf0MuCUo9KYtMrDwx73bt3zz5fXOQdoLwfwHqi2CtCH9PLgt9r9pYFD9f0Ob0eEqhFVlHpVfEp8//OaR/uyfcpZRaHXhXtZull797pPO7J9xll9/6aFbmyiGPZ/79O47gn30eU+cPfDpHutfh8LdLnUZYvMadxXOT7gLIIVzVcwOrjot+/eLimxJT91r0T87D7Rfzia6Ps10ijSNpD0uOSFkq6RtLIOv3vlLRt4rUknS/pdUkvSDq081bXxkW+pJT9g9tJMe4XoU/igg+SVgauBo4DxgGiQqLEqO8eki4BPpradACwG6HWxR7AmZK26JjRGfBwTcko+4e0HwW42/RxaGdP4AEzuwFA0jnArwg1LdJ8lKCfC1Lt+wLfM7PngeclXQ3szcC61V3FRb5kNPqB7LUvhdjeTgpPr70nnWbMojf6Reg3ZaAYPwKsJmlFMxsg5mZ2CoCk3eqMMYPg2eeGi3yf040PbydE04W4u/SJ0I8CPqg/a2bvSloctac99lpjvJ54/WbUlhsu8j1On3z4HAeABW+I2Q+rXrdVJU1PvJ5qZlPjF5L+GTi9wn5XECrVxf2GETTytQZMnJ8cg1AUqZH9205fPHgdXNIKge7NOt2kh663OWY2JfEzNbnRzM4ysyHpH+AuQknSmE2Ax83s7QaOPSs1xkTgL82eSDvoC5EvG/0+C8JxOsQNwA6Sdohm2pwFXNXgGFcC35Y0RtI2wD7AtW22syH6RuTLIoq9eB4eTnJ6ATObC3wFmAb8FXgFOBtA0v6SnsgwzKXAnwmx/euAo83s8c5YnI1cRV7ScZKek7RA0u8lbVxrMYGkdSXdJeltSfdI2iRP+7tNLwq8Uy7Kfg2a2U1mtq6ZrWhmXzOzd6P2aWa2foX+483sT4nXS8zscDMbaWZrm1mjdwJtJzeRj25ljgF2AFYB7gEupvZigmnA7cBqhG/Jqxs5Zi9foLVs7+Xzchyns+TpyS8BjKUzfAYD80gsJjCzhwlCvrekDwFbAKeb2RvAecB4SRt33/TuUgYR95BNeSjD9dhP5DaF0symS7oRmB01vQ1sDtxN5cUEmwEzE7dP70uaBaxPeKJdSvwD5ThOK+QZrtkV+BywJTAS+AnhyXS1xQTp9uS2SuMfLGm6pOlz583/oL2XRLOXbHX6C782e4c8wzWfBa4wswejJcMnAFOibZUWE6QXGSS3LYOZTY3nya4yZnR7Le8wZZ0i6SEbx+k+eYr8W6nXiwlx+j9TeTHBY8AmkgYBRL83Ah5q9MBFFtAi2+Y4Sfxa7Q3yTGtwM3CtpKuAmcBpwC1R+7cl3Q5sQFhMsL2ZPSFpNnCMpIuA44FHomxvpcG9Xcdx2kmeD17vlHQicA0wljA18kBgDjCZsJhgPgMXE+xPyC9xBnAfsF+zxy9bzpdueVXNvmfu9ZWTsn2OykiuCcrM7DLgsgqbDo9+0v1nA9t02i6nOi7WThoX+mLTN2kNHMfpHGWdLFAGXOQdx2kbLvTFw0XecZy24kJfLDLH5CV9mJBjJmY4YZ776m23qg/wOGZ+VHrfyyZM8TnmdV7dKNPoZCOTyEs6E/gG8C6hgrkRZsSc2znTnEaYN3RU6YSqndQTm1bFqEjvffJc8r4u3JnJn6zhmgOArYFPA/9rZmvC/2/v7IPlKus7/vnemxsiGoiBCI0gBEEgg7xmiq9TCqFMacehrRUdEdpAAdPUUQpVi7w0KCoMqJXSNGjLS3mpSM0UtXQoRQpVqRmokhAgdEgtCWECJCEJSbh399c/nnObk2Xvvbt7zznP2XN+n5k7yZ7X7+6e8z3P/p7n+f24FNiRlzDHmQyvDO21218R5ysD7XQU9RmMRZkegHWk03DNdHYl0T8mWbYEWE37WomOUzhlMdoYdPLeY7bqPXwTj05b8o8QTH0KMCTpVOBkQtjG6RFv4UyOolvrnegp+3ljf05+zRdPpy35TxDSCMwAPkOYwDQILMpJVyF4vLD/KPv3VXRruZfPI3anrFMsHZm8mb1EMHmANcABeQlynHaU3dzTFGX0k/1MYnfKOsUwbrhG0lxJP5X0qqQHJR1WlLAq4zeWM1myeuj108PT6Y2JYvJLgX8H3gv8J/Ct3BU5TkKZ4u3dkqfmrI/dj5+v0zkThWtOAH7dzIYl/QWwvgBNhdJpq7r1RsiqNe6t+t2piuHk+b1m3Zfk12C1mcjkB81sGMDMXpMUNWtlrzQ0OOlj+I2QL1Ux96LIyuj9uq4+fWnaTjWoqrEXZZyTNfp+NPiXbYQfN7fFltFXTNiSl/TD5P8CpqZeA2Bmp+eiLGN8JEE5qKqxx6IXo/f7oF5MZPILWl7fxa4JUMInQzkdUCdjj2Gg3Ri9G3z9GNfkzewWAEnvJaQvOCi1z6jJ35qnwCzx1nyx1MncY9OJ0fu1X086jcn/PXAncAXQyE9O/rjRF0OZDb71+89Ka+zrajyjj63NiUenJr8fcJWZ7cxTjOPkTTuzy8v0Y9DO6N3g602nCcpuIYc8NZIWSlojabOkpZKmKnB9smydpAtT28+R9Iik7ZIelXRkL+ft55u4Hyjj59tNDdLRbdN/nexTFtJayqTLicO4LXlJqwhx90HgMElfIEyI+v8OVzOb28uJJb0P+AJwanLMe4DPAuuA+cBcYCbwoKRHzexxQvz/IeB04AJCCOnYXs7v5EPZDD6vSWtle5+tuLk7o0wUrrlwgvWT4QzgDjNbCSDpG4TO3ZeAa8xsLbBW0p3AmZJeBo4D5pvZTknXAZdKOsLMnur25D7srPrkPevUcfqBiUbXPJTjuacC6VkNAuYAs4HHU8tXElr2xwCrRvsFzKwp6SngUKBrk++WuoxcmGwa2jK1eD2lruPEnfH6r8DXJd0EbAU+RQgL7QVsTm23JVnWujy9Ljr9PKphrJJxWWgvQ0UgH1Hl1JloJm9m35d0HPAfwOvAMkJLfk/gTalN9wQ2AptalqfXvQFJ5wPnA/zK7NmZau+Gspp/p+XiIButsQu0uNE7daXT0TWZI+kQ4Htm9nYzmwM8AfyEEHo5KrXpXODnwNPAkZIGkv0HgMOBX7Q7vpktNbN5ZjZv5syZOb6T3mgtXZe3AU7mXFmOI49ptGXvLO3XtMpOuYkZrjkBWCzpJEJZwc8BnwQOAy6W9FDy/48D7zezZyU9A1wk6a8IlapWJB20laDdDT4ZU8zSMKrSqi9riz79eXhfgpMlMU3+HuDXgCeBEeBLZvaApB8B7wb+hxCi+bSZrU72ORu4DbgK+Bmh9myl6XZiSxG/CDrRMRExY/VlMvrx3r+bvZMFMWPyTcIEq0UtyxvAHyd/rfs8A5xYiMCSUpaf81l2zNbR6Lt5z+lt3fCdbvF88k7P9HurfrzzZWmmeYTNWnHzd8aiFiY/aH2dU630ZG326WPGotcHQMy+hlbc+B2oiclDuQykqmQZVijTpKpWyqRlPDxRmQM1Mvk0ZTaQqpB1p6F/Z5PHTb+e1NLkW3EDyY+8Roi0O55/b93hpl8P3OTb4KafPUWMEHHjnxxu+tXETb4DYk/JL4qiTLLI8d/+wO6dXr4n/3zLh5t8Ql0vzpgjRYoc/13X7zcL/LPrb2pj8n6h7qKMP8Pzat379+50g6TTgBsIKc9/AJxrZlvG2f5h4BIz+2ny+p3AKqCZ2uw3zezB/FSPT7QEZUXS0GBsCVHptpQdxB3vnUWiLk/25XSLpLcSqs1dAhxAqHFx1RjbniZpCfCBllXvBO42s2mpv2gGDzUx+TrSramnKYs59mrUZdHv9B0fAh4zs2VmthH4CvDRMbb9ACESsrVl+Rzg2fwkdk9twjV1IItQRxkNsoyanFKjHvc7mt2r0q0A9pP0FjPbzczN7DIASfNbjjEHOFnSuYSQzY1m9pUe9WSCm3yfkkdc3c20OmR1fZTsmnhhU+N11g23Np53saPZAJgqaXlq8VIzW9rB8fciZL8FIKklPZIsH/uku2PAA8BXgQOBeyX9r5nd3uH+meMm30fk1WFashvZ6ZE8ro8y9eGY2c6Zg1PZ0WwwbaB9P9um5gjAt83sa2MdR9KfA4vbrLqNVPU5SVMJHtm2+twYGj+fliPpBuC3ATd5Z2zyHA3jBt//lGG0VCcasrjWZgxMYVNzhP3HNPlhgPvHO4aZXQ1c3bo8CbF8KLXoSGC1mW3vVF/yAFlqZi8li4aAbZ3unwe1MPlBa/RdvLqIG9cNvn8pg7F3SxaanxvZ/u59B6c+sT97vGGdmfFaCNes7PHwy4BrJX2QEI+/Grijy2OcDBwo6bPAQcBCYEGPejKhFiY/FmUyuRg3bRlT5jqdUeNCIitfazYwM6Td+1e3WoO3DAyybWTEejmwmb0s6RzgVmAWcDfwZQBJZwOXm9mhExxmAXATsA54AbjazMb9ZZE3tTD5hgZLZVr9cFN6HpixiV2Ccbzz9cO1NRnMzPabsgdbrcF07W5fmxrDzBgYmuzx7wXubbP8VoL5ty4/uOX1L4HTJiUiY2ph8rGpyo1XZB6YomK8WejoZJ+ijL915nAVH8wzBobY1Bhm+kCLyTeH2dwc2T+SrNLiJp8xRRp67GpAWRVi6VXzWPvF0JLFubOgVX8Vk+s9M7xt/70Hpqw/cNdAGBpmNMwwsxcjSislhZl8OseDQjDtOuBcQs/zYjNbkmw3hzCU6QTgF8AfmNmqZN0nCDGyvQhDkv7EzEaKeg9p+q0GKOT7AJiMmWRdVLvblnS/Zars9rOqWlU0M3tx+sAUGmYMJnH5zc1h9h6cXKimquRu8knCn99h9xwPC4D5wFxgJvCgpEfN7HFC3Osh4HTgAkIuiWMlvQv4S+C3CNOG/xFYBHw9T/1Vyo6YtZn2E/3WyZx3zv1Y7zmr97X34BCbm8PMHJwKwMbGMC80dp6aycErRhEt+XY5Hs4CrjGztcBaSXcCZ0p6GTgOmJ/MNrsOuFTSEcCZwD1m9mMASV8jJBKa0OSn7bEHcw87JNM3lRVVCiD263vpV92Tod/f89qRHafa4B73j5r8q2ES1CNRRZWU3BOUmdllZnYe8HJqcWuOiJXAocAxwCoz25ns2wSeStaNtY/jOPXjkcTY2dlsMKQBzGxHZE2lJFYWyr2AzanXW5JlrcvHWze63HGcmmFmO6ZI7LQmG5sjzBjwMSRjEcvkN5HKEQHsScgP0bp8vHWjy9si6XxJyyUt37BhQyaiHccpD6NDKTc1h1kzsv3o2HrKSiyTfwo4KvV6LvBz4GngSEkDAMm/hxNG2Yy1T1vMbKmZzTOzebNmzcpYvuM4sVkzsv3ojc3h0VQGK2LrKSuxTP524GJJMyWdCHycUE3lWeAZ4CJJbwIuA1YkHbR3AR+TNFfS7GRdt3klHMepDiu2NEd488AgZtZTKoM6EMvkbwL+i5C7+bvAp81sdbLubOD3gVeAU4BzAMxsJXApIVfzk8C/AbcUK9txnLJgZvbWgSFmTjKVQdVRHR6AkrYQQkFlY1/gpQm3Kh7X1R2uqzsON7PpsUXUhbp0ST9tZvNii2hF0nLX1TmuqzvKrCu2hjrhhbwdx3EqjJu84zhOhamLyXdSxDcGrqs7XFd3uC6nHh2vjuM4daUuLXnHcZxaUmmTl3SIpB9J2ibpSUknxdYEIOkSSc9L2proOyKynoclvSf5vyRdL2mzpHWSLiyJrj0l3SzpVUnrJX1DUpQB0mldLcu/JOm+GJqS8++mS9JZktYk3+X3JM0ogzZJsyQtS3RtSL7LwVjaqk6lTR74DmHS1NuArxJm2kYlmeF7EfBBYB/gUeDGSFpOk7SEsXP9nwZ8UdJxJdD1OeCIRNexwK8CC0uga3TdccCfFqknde436JJ0LHA98DHgAGAq8Gdl0AYsJuSi2p/wXZ5CmPXu5EBlTV7S8YTJIFeZ2TYzuwX4SAlaDA3A2DVHYZAwuzcG4+b6N7MnCEVbziyBrlOBa83seTNbD3ybYA6xdZH8oriJeB2K7XQtAJaY2U/MbAvwh7QpRB1J2wjBewYAEfceqDxVngx1ArAauEXS6cBzwEIza8QUZWbLJf0TIUcPwHZCayaGlssAJM1PLW6Xtz+9Ppau84Bfpl7PA9aVQBfA5wnpNlYB7ypS0zi6TiBUXHsMeAdwL6GSWhm0LQYeY5fxPwD8oGBptaGyLXlCK/4U4F+AA4G/A5ZJmhZTlKRTCOUQjwemAzdTgjBSilLm7TezlWa2RdKbJX0T+F1CCC4qko4i/NK5MrKUVvYFPgx8hPDgeQfBXMvA9YQw5QxCCO4gCg691YkqmzzAE2Z2u5ltN7MbgSFC6uKYnAHcZmaPm9lWQqx5nqSZkXWN0lXe/iKRdDKhtXwIcLyZPRdZzwDwt8AiM9seU8sY/I2ZPWtmrxCM9eTYghLOAK40s81m9jTwTUL/j5MDVQ7XrCGYOhBGjRAearFvxtcIMchRRghx+ti6RhnN2z+aFXTcvP1FkRSEvwu40Mz+IbaehOmEmsT/HC4vBoEBSevNLHYZ1TWkrn/Kce2P8lrL62FgWwwhdaDKLfn7gNmSzkty0y8ipDZePf5uufN94CxJxye6rgTuK1FLsG2u/8iaAK4APlMigydpiQ6Z2TQzmwb8EXB/CQwewgNxoaQjkl+JFwFl+ezuBa6QNEPSQcAngXsia6oslTV5M9sI/AZwAfAi4Sfih2MXFzCzhwkddd8B1hNikufG1NTCeLn+Y3I08C1JI6m/B2KLKjE3A3/NrvoLPwNuiCkoxUWEvp7/Bh4B7jSz78aVVF08rYHjOE6FqWxL3nEcx3GTdxzHqTRu8o7jOBXGTd5xHKfCuMk7juNUGDd5x3GcCuMm70RF0kmSnoqtw3Gqipu8U0lKkFLacUqBm7xTBgYk3ZhU8HpO0vskTZF0raQXJK2VdHmSf4ik2lG6AtIaSe+RdHBSNeqLwIZo78ZxSoSbvFMGDiMk1NoXuIOQEvcS4ERCrv33A79HyCk/EW8jJN6bnYdQx+k33OSdMvAqoerTduCHwMHAOYR0tC+a2RrgGoLRd8JiM9uRh1DH6TeqnGrY6R/WpxLHNQjX5duBZ1PbbCC00tuRbqy8bmatqWwdp7Z4S94pA+2y5G0gFKAeZTSkA9AkuXaTDtZ98hTnOP2Mm7xTVu4GLpe0j6Q5wKfYVYj6eUKNV4CPEqpXOY7TBjd5p6xcTijUvZpQD/ROM1uWrLsYOF/SE8BJwIooCh2nD/B88o7jOBXGW/KO4zgVxk3ecRynwrjJO47jVBg3ecdxnArjJu84jlNh3OQdx3EqjJu84zhOhXGTdxzHqTBu8o7jOBXm/wB9l/amCJ5NPwAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.15,0.151,0.025)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dqdt_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rqvcuten_diffs_latlon_mean.T*1000.*86400., \\\n", + " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s='(a) $\\Delta$ dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ dq/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "# cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "# cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "# cbar_ax1.tick_params(labelsize=fontsize)\n", + "# #cbar1.add_lines(contour_line1)\n", + "# cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "# ax2pos = ax2.get_position()\n", + "# cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "# cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "# cbar_ax2.tick_params(labelsize=fontsize)\n", + "# cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar3.set_ticks([-.01,0,.01])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dqdt_day1.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 212, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.15,0.151,0.025)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dqdt_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,100)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([200,400,600,800,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,100)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([200,400,600,800,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rqvcuten_diffs_latlon_mean.T*1000.*86400., \\\n", + " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(1013.25,100)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([200,400,600,800,1000])\n", + "ax1.text(s='(a) $\\Delta$ dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ dq/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "# cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "# cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "# cbar_ax1.tick_params(labelsize=fontsize)\n", + "# #cbar1.add_lines(contour_line1)\n", + "# cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "# ax2pos = ax2.get_position()\n", + "# cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "# cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "# cbar_ax2.tick_params(labelsize=fontsize)\n", + "# cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar3.set_ticks([-.01,0,.01])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dqdt_day1_full_atmosphere.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 174, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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NvwQ0Lo0yPt3cf5Dg/RG8P0WTMlr3p2TyFKmPCv0U+BeBz4nIp4G7gIuALzvtbxeRm4AnAacAx6nq/SJyL/BWEbkSeAdwh3Oz00K+5B1287FYkiaJl4qF5TKnJWmqMeIvHOXHX4fEK29/usQrbGiew+3enHSlDSbH60q78dgv7U6E3WhbPl53vi+UJ1ujau9zyxMt0bh7zViReyN0X3SOPzqvRkvcnz6yNzZ7Tz9vYt4sIu8EPoupCHYTZu73VuApmB0ztgPnqqobjZ+GmQd+CfAD4FW9Hnc/6Mf+lO0uyHHxitmPf/l5sWReX62qON9SrdUbhaPMtYMj7DBRe4+5KyW9i26apL3UKu3QSDsib51K3C4eWRf86Q/3eON7XwYxLAoPOd6SXonpL0m+vNfSLgiM52u71r7S14U8qvpx4OMBh852vvzn3ws8o9vj6hV52zgYwpfBR8m7XJLIGSdJ8crXlTo0i91/HjRLPEzWQPMUwKUU6ZGspe3HH3G7bU2PU8i7S+K2EXb+sEvp+8AgiRuSRd5BEo+KwtPgT3+412tcJ0bW1GlKjZj2kJuRlflkqZGA46mk7Sco+obOou6ciNve3OweVuA9Jm/y7rTwVBxZbXKbJLKG5ZWRYcJ220KlHSXssAU3nYg7jCzTJW2IO8s545buYQXeIwZN3O2QVSrF2x/QNEMEiFzGHrTApiU1AoHSjpzW1w1Jh5FVuqSL4u6XqE0tlL5cOpckFriIPBlY72kax8zj3ivzUQ0ZeZJ3FpsrRJGFxP3i9gvbW3MkbEVkYJQNRtp+YSdJg/hz1IEDT75IJrwPj3SzSpdkIG4bWeeTRAIXkfcCbwAWAcHUMNkIXN69oQ0+gypu6Dx10g5B4vZKu6l+SICwzXm+KBsa0m4SdtRiGw/1JOLGM/WvE4m70s0qXdKhuLtSQ8X+IsiUpBH46cDTMWVf36KqrxKRdwD2fyOAQRY3dC7vtFF4EnFHChtCUyMt0q7MRUq5Or8r8bi9uD9IBWhP4u3IO2G6pJfitoLuLUkFPg38GtiCKSoFcBVmteTFXRjXwJIHebeb3+511J1U3P6aI6GpEactTNqunKtL3ctnl3AkDulF7l1E06V0SZi404jXSjo/JBX4tzHCfhtQFpEXAisxqRQLVtx+wqJw//S/uFWQsakRSCzt2tIctcX5hsBLY/7SOobieHB7HKWxCarzu9JH495aJRnNLslS3HkSdkGUsZLVjktSgb8Ks3R9DfAWzOKbInBOl8Y1UPRb3nkStxevxDsWd9xNyATSrs7PNtobY/FIvDQx3XLcf04aEkXjIamTlraEUXcScQ+atC3hJBK4qm7FCBzgAWDfbg1okBhUcUPv0iX++dtJxB04R7tNaQNU52epLs1TqVSpVOpUKs4vlbLA3BLlsqPZ3bOUy8s/Eq64q/OzDbkHURqboLbYKv3E0bi7YYMbfWdwk9Iv7l5L267a7A2RAheRw4GPYSoC3gac6alLMtIMqrx7nefOQtxRNyKr87tSSXtxsdb4HhyJO4yPF4HaclsCufspjk9QW2q+SVqamKJemWuNxoNSJx3epEwr7qTStkLOJ3ER+NXAtzBFpk4D/hl4brcHlWf6LW6XYlHakrgr1G6I3L9DO7SKO/FS9g7EHUS5LE3idttcxntVIckv79Jkq7wzSJdkIe48Stsu5GkmTuDHAM9T1YqI/DXw2x6MyZIQ7+rEtDL3yzaJ0IMEHTWmLMUNNFIlXnEDTfntpvGOTWB26qs6LXXMrRuzMMgrba/MG1E3hEbdbkrFbSuOT1Acm2xqK01MLVcY9IrbmzLpYcRto+3hI07gRVWtAKjqnIjYpfc5xStOlzRSTyLnJNcN2/S3Rdz+edspxA203JgMfV0NiYMRuSvxbKQNUBybbJI2OAt7Moy2wYrb0ooV8hDTqdST9ukvJtWWuH3tQakSSC5uL8sSdqNx89dGp9J225ukDUbKvtklTdF2B1UCs06T+Pu0DBaxEbiI/KfzvQBjnscAqOqLujIyS1dII/Wgc1280oZmcfsLSfVL3H78KZU4aXvbY8UdliKBYHGnLDSVVNzDLu1CQVhRDv9cjhpxAj/d9/gzLC/eEc/3I0NBarm5kZkVUaL2E1a6NfEWZH0QtxdvSqUdaZtzp0Kj7U6kDe2lSVKtouyyuLW0sqv9W5qJFLiqfgJARJ6JWTL/RM9zXIFf080BWvpPWLQNKfaO7FDccasn07As4nBpQwfRdsJ52xBfpyQLafv7bAcr5nySNAf+KeA64ELcW/iWocYvbQgXd9yqyTBxBy2+cR97xe3O5S6XC1Qqy/Ox214h6ctrQ3S0DcHiDo22E077a7QnXC1ppW3xk1TgewKXqOpi7JmWnhIk2qyJujEJPnH765P4hJ5E3G607YrbfK9UKjVnPre7wCZ9VF6amI6Nts15CdMkATNNXLKoAtjL9MggCLsgzbOH2kVETgI+DDwB+BJwhqrO+s45B7gAU/fpW8DrVPU3HV88Q5IK/BOYuidXZHlxEXkjZon+WuDfnGtUnOucAewGLlbVq5zzD8DsSn8M8BPgNap6V5Zjyiu9ELWf1HO4ncdZiTto9WS5LIyPFx2ZN0flUSL3Rt3tRNsQMJPEJ+2sCkj1cpHNIEg7a0RkLSajcDpwE2bB4iXAuZ5zjgD+GngRcCfwUeD9mLpQuSFuKf1dmDx3EXiSiLwLs5incfNSVQ9v58Ii8izgXcALnT5vAP4KeAQ4EbN8fx3wDRG5RVVvx+Tbb8K8qa/H/Ccc1c71O6HbNzL7IWsvsTNKILxOSYi4XTmnibi94l6quAuNClQqVScKKzaicqiGplf8UXcm0bZP2t2qPdKNm46jKG0fLwZ+qKo3AojIZZgo/FzPOc8BvqiqtzjnXEsOS2fHReBndfHaLwE+rap3AojIBzFv0Fbg/ar6MPCwiFwHnCwiM8DTgBNVdVFErgAuEJHDVPXuLo4zkE4k68o/D6Juacs4x+0Xt79WSTfw36T0R91ZiVsL45nNxYbuzhCx0m7iSOB2z+M7gD1FZEpV3R09PoopHYKIrAdOAb7b01EmIG4Wyk1dvPYYJkXiIsABmJyU9829ExORPxW4y83Dq2pdRO4GDgZ6LvBO6LW4g0TddNy3x2TbUbdP3HEzSvyY6Dl42btbmNXNf46PFxvfl8uFpsg7sbjblDbkZ3ZIbP9DJu5CQZoWYIWwQURu9Ty+WlWv9jxeBTzoPnACwqrTvstpqwCIyOswKZYFTLYgV/RzJebXgA+IyEcxb9qbMT+xq4AdnvNmnTZ/u/dYCyJyJnAmwKZNmzIdeF6JE3XL+b6d3E0fKaPumFolScTtpVwuOSmSAt5l7/76JeXy8g+yN/8dlS5pEXeC3LY3RTII87Ab1xkycadkq6oeG3F8O9DIsYnIGMaF2/wnqupHReRTwOuAG0Vkb1fueaBvAlfVL4rI04DvAEvAjZgIfBLPm+s83obvTfcdC+r/asxvTo45+uihW3CUVtaN54VIu+nfNioEhom7nTTJ8gpJs+y9UtEmcZt/k0fdQeLuJNrOo7Ab1+uSuLU4mCs3Q7gbkwd32Qzcp6qND6uIXAA8qKqfUtV5EflH4AOYgHGmp6ONoG8CF5EDgf9Q1Uucx6cDewP7AEdg9tsEczPzx8A9wGYRKTjpkwJwKGY2ytDTrrAhmbS9x5NG3XHiNpF0+x+x5ZRK3dNW8Bxblrc/6o4Udxel3Y8l6t2MtodM3C43ApeLyPGY/Pf7gE/7znkMOF9EvouZWPEW4Keqmht5Q39TKMcAF4vICZit2s4H3gA8CXi7iNzkfH8KcJyq3i8i9wJvFZErMdMP73Budg4dnQgbWvPaps8YabsERd0p0iXNGyksNboNKx4VRXNefLnNnzKJFDe0ytsRd1SKJO81s2203R6qOiMir8bMatsIfA64VEROA96jqgdjNrLZjLlxOeH8+7I+DTmUfgr8BszmED/D/IT+jap+XUS+CTwFc5NhO3CuZxeg0zDzwC8BfkDO5mR2QqfChmhpe78P3eEdMom63Tnci4vNeetKxTx2F+OY7+Ol7m/3Rt1J8txh4vZH23kXdmMMIyzugsBY/E3MWFT1C8AXfM3XOF+oahUTdb+l44t1kX7mwOuYhTvn+NprwNnOl/859wLP6MkAe0AW0ob04m6JtqEr4l7eAcc/68Y7h967kcRypB0k81RRd4y4B03a0B1xD4K0LeHYeuADjFfckDJVElXetQ1pAwHibiVsF5woshZ3ZDnWFLL2CtX/f5E1Vt6WIKzAAwhbZZnl/O0sbko2tYXIO62463NbQxfgxIkbouUdRtzGCitW79GRtCE4TZJU1knk2U2ZD4u8h60Mcx4YCYEr2Xx46lrs2+rJMCmkmg4IreKen2kr2oZmcUM6eXunAy63tc4s8Yp7bNUezondE3cWsnT7yELkeZd3r6UsBcmkmNWwMBICzxtpou8k4jZ9Nq+eNM9tnQ6oux8NTZMszc7EShtaxQ3J5B00l9v8m0DcKaQNycTd7cUuvUyxJKVdedvoOZ9YgeeUqDRJS3vYFmYx+e2FHY8ljrYhWNwQLG+3+JR/xkCQvIPEvWL1xtY0yco9Q6cAuuRB3EG0I/Osx9mOvK24840VeI+Jir6TRtvLfTXPNCksbQsX99xMaJpkYceWUGlDOnH7WarUKZebJeCuovSLe3xqfUt+W1buGTl3G3yy9s/l9so9J8vLk6RYrLwtSbACT0kv8+BB4vZLOzTi3v1o5GyShR1bQqf/QfNsEfd7v8jdaDpI5GPlAkuVeiMCd4tPTU6OdSTusO3Gkoo7jciymuYZRlhU3m9551nchYI0fTZHHSvwNvB/wNMI3f1h8sshbEpg43EX0yRBdbcrFW1snuAS9oMzHuOHNOIOS5X4V0qGpUj88uvkhp0Wx7su8ca1SitzkyfvJrXa0JUl6itW4BnQjtCj5BBUHdBtjxO3dxpgmgU3S5V6Uwql0tjtplXkSXCrBfpTJWPT65NNBZxYH7joJiqfPejzmvOQ4sk6+rbC7i5W4F3A+0OQROb+YlPtRtudinuhoizVYKwx/LpnM+FkIu9Y3CELb7Qw3hdZ9zIK7wZp3qes5G2l3TuswLtM0ujcvwNOWmlD8kU3YeJeqpqc9lIVlmrKWEVZURaWl7sXgFqLxMOkndWKSVfegx5h55lO5N1LYRcK2WxqPCxYgfcIV9z+/SbTpEfSzNv25rWzZnGx1rgp2bG4ITbq1uK4EUwbLyeLG86DGoV36xeejbDzgxV4lyhIrfFDH7lBcJvCnt8925Gsx8qFxgwRf/4b3Kl+5hw3deIXNsQsc59YHxhlA7GybkhCcWpcKcVi+sgrq/1HB03i3UqdWHnnCyvwjHCFHbQpcONxgo0S/DchF2cfb0TYc3NLDWHvnqs1pUAAVpSlaauxpGU3vTJ3CZN2aJQ9uaF1FonvRmRQSiRM1kHUau1JfNSw8h4drMDbICgdYh77ctjQshFCkul+3jnac3O1RoS9e67aEPauRWGpBos1WKgYqa0ow3hRgRpjRRgrVRkrNos9Supx0m65ETm5fjklMrEs8PrY2oaw62PrGkJJI+sw2pV4FvP3ByEKH/a0ScJNjUcGK/AYUkXWELtr+9LOLaELaryy9rPkv+HYkDcs1VyhmeeNF81xEKfN7a95ebtf2KZtWdrj0+sC65E0Ftk4AtfSJPXy6kYqpD6+riHraqUOjS1gjUBLpc5+AK3Eg+nmTV73/c6LyC0GK3CHrEXt5q4Xd800zQxpN3c9Vi4wtrrQyFevWqHsXFCWqsKS80Nlom71Rd3FxvOTRtiBsvakROqFcepja0JTIdWFOlCjUm19beWSUK3WW9q9JBG8Tac006683V9oSVMp3vfcyrz/jJTA/akPSCFqaGtWiDeqduU7O1d3ImQasoXWQk9B6Q5vvnpysvnmoyvsNLL25q/TyNqlVtNGKsQr5iB5u+3lUrR4q9V61yQ+jFF4FpF3QWqppxJamfefkRC4UKe09Fgmueo4WUPrXGswi2aWI2bBLSviTqk2i2fUiaDNc4LE7pX6mGeWCNAk7ImV05GyDrrZGCdrgFrVm5IhMJoOk7f3eJzEk2IlHl/woh2vAAAgAElEQVSWIQz/ys84fQd9HhrPtSmWvjASAqdeo1DZETl9D0i8JN2bBoHWrcSW64nUm9pdSZvcNJ42k/rwPnZTINAs7iBZJ4mu45aqe/PXQMu866AfzHbk7T0vSuJJo3B3bKMk8bCVu97vveUYEu88FLM/qBZXUIj65R4j72q1nvjzEYaIhG5+PYr07J0QkZuB81T1+yIiwBXAGcBu4GJVvco57wDMzvPHAD8BXqOqdznHXgVcCqwCrgXe5OweHX1trVCc/01bpVbTbCPmitu0Bed5/RJ3c9YQPA3Qu3w9yZS+wM0PIPVS9XYI+uGs1uqUisEithIPxi9oCN8qz5zv23UJlqeq4gkXyhPRF3bm6AehpUm0tmA+K/VFtDCOhIjcxRV2tVan5vxb7VDglma6LnAROQl4KfBsT/PpwInA4cA64Bsicouq3g5cA9wEvAh4PXAdcJSIHAL8A/AHwP3Av2N2tP9A7CDKU8h+v9c6Ns/3BUblzxGDvf2XJVMZ97c+4/46x35e8kkvJlQ+G+PGXZ62U4H3q+rDqvpTjKRPFpH9gKdhIvKdmCh9fxE5DPgz4AZV/a6qbgH+HnhlD8ZvsVgsuaTrQaeqvhtARE70NB8J3O55fCcmIn8qcJeqLjrPrYvI3cDBznP+x/ecg7s4dIvFkjMKhWKjjIOlNxF4EKuAHZ7Hs06bvz3qmNtusVgsI0m/BL4d8P4anQS2BbRHHXPbAxGRM0XkVhG59bHHHstk0BaLxZIn+iXwu4EjPI8PB34M3ANsFpECgPPvoZjZKGHPCURVr1bVY1X12I0bN2Y8fIvFYuk//Zp4cS3wdhG5CXgScApwnKreLyL3Am8VkSuBdwB3qOrDIvIZzGyVf8JE4+8GPtyn8Vsslj4gxRKliel+DyM39CsC/yjwI+BB4HrgXFW9zzl2GvCnwOPAC4BXA6jqncAFwNeBn2FuaH6it8O2WCyW/NCzCFxV9/d8XwPOdr78590LPCOkj49i5J+K2267bZeI3JP2eT1gA7C134MIwI4rHXZc6Ti03wMYFkZl7co9qnpsvwfhR0RuteNKjh1XOvI8rn6PYViwldEtFsvAIM488KivRP2InCQi94nIbhH5rIi0JNZF5NUi8oCI7BKRm0Qkd385WIFbLJaRQkTWYlZ/nwfsi6kUcInvnCcBVwJvADYCXwY+09uRxjMqAr+63wMIwY4rHXZc6bDjCubFwA9V9UZV3QZcRmtZjucD31DV/1LVeeD/AU8VkXU9HmskI5EDV9V+f2ACseNKhx1XOuy4QvGX8rgD2FNEplTVrdl0I/AVzznHAHPAzt4MMRmjEoFbLJbRYYO7Ctv5OtN3vKksh1N7qYqnNIeqPqqqDwCIyMuALwDnJylf3UuGWuAicqCIfNO5UfEzETmh32MCEJHzROQh5+bIN51qi/0cz80i8rvO9yIifyciO0TkERE5KyfjmhSRfxWRnSLyWxH5oIiU+z0uX/vfiMiX+zEm5/pN4xKRU52bcDtE5D9EZE0exiYiG0XkRmdcjzn/l4n2c5NC0dS/j/gCtrqrsJ0vf8TfVJZDRMYw2Yim0hwiskFE/j/gg8AZqpq7hYNDLXDgs5gFP3sAf4tZAdpXROQZwFuB4zGFn28BPtKnsZwkIlcRXqv9JOC9IvK0HIzrfOAwZ1xHAb8DvDEH43KPPQ14Wy/H47l2y7hE5Cjg7zBlmPcFxjArm/s+NuBijET3wvxfvgCzGrtX+MtybAbuc3LdAIjISuDbwAxwmKp+vofjS8zQClxEjsYsZLhEVXer6ieAVyT9Td9Fapgtedz7D0XMqtN+kLhWew7G9ULgclV9SFV/C/wL5ge/3+PC+Uvgo/Tv5lzQuE4HrlLV76nqLPBazGYpeRhbFeOeAmYGSK9/Bm4EjheR450ZKe8DPu075xTgN6p6uicvnjuGVuCYmw73AZ8Qka0i8gNgyVkF2jdU9Vbg88C9wAImivy/fRrLu1X1LzBRhktQrfae1l0PGddfAF/1PD4WeCQH4wJ4J6bEww97OR6XkHEdAxRE5IcishXzF+ivczK2i4HnYaT+a+Bh4Es9HNMMpkTHNc71twCXishpInK/c9qRwHNFpOr7emKvxpmEYRb4BkyE9hVgE/Bx4EYRid65tcuIyAswW8wdDUwD/0oOUjsecll3XVXvVNVZEVkpIh8C/gQjpb4iIkdg/kK5qM9D8bMBeDnwCuAQYD+MOPPA32FSh2swabEnkjAdJoUixbHJyK8kqOoXVPUAVZ1S1deq6qKqXqOqBzvHz1HVgqqWfF8PtveSu8MwCxzgp6p6rarOq+pHgDL9r8PwEuCTqnq786fZ+cCxOZpfmqruei8RkecDdwEHAker6i/7PJ4C8DHgHG/+NEf8k6rer6qPY6T5/H4PyOElwEWqukNV7wE+hLnfYknJMM8DfwAjbMDMrsD8wur3D9ocJufnUsXkxfs9Lhf3Bo9bHTKy7nqvELM59meAs1T13/o9HodpzB6u/2U+XhQxaYvfqupefR2Z7/NPPj77LnO+xxVgdz8GMugMcwT+ZeAJIvIXIjKB2cH+QZbF1C++CJwqIkc747oI+HKOIji3Vvs6Z8bMKcDn+jwmgAuBt+RI3jgRZFlVV6jqCuB1wH/nQN5gftm9UUQOc/66eyuQl/fuC8CFIrLGySm/Abihz2MaSIZW4M4S2d8DXg88ivmz7eWqqn0e182Ym16fBX6LyQGe0c8x+Yiq1d5PjgT+2XdD6ev9HlSO+VfgH1mun/8D8rMBylsx91Z+jpmqd52qXp/kiVkVsxoWpM8+s1gslkSIyP5//Iwn/PIz57WsoWpi4uX//kNVPaZHw+orQxuBWywWy7BjBW6xWCwDyjDPQrFYLENGoViiNDHV72HkBhuBWywWy4BiBW6xWCwDihW4xWKxDCg2B26xWAaHQpFCOVm9k1HARuAWi8UyoFiBWywWy4BiBW6xWCwDysgJXET+UkROFpG7Q46/TkRO7eL19xeRhRTnny0i50f1ISIqIoEFlDyv920icr+z/597TETkf0Xk/c7jJzp7J844X58Xz36dznX29/X/GhH5Zsi1Q8fVDmnfuxT9PldE7mjzuV39vFgsUYyUwEVkFXAasDXitGuAc51KgXH9XSYidWlzU2IRWSUi/ykid4nZdDmoJvKLMdXb2uof83qvx2zMOg+82XPKqcDeLBf6/xxwG2YDjIOB/wW+KiJDfbNbVW9S1SPizwwk8efFkgFShPJk9NcIMVICx5T7vBFTf7skIh8WkcdF5DZnE1hUdRH4BmZPwVCcH9jTMDv9vDnm3NeJyKMiMoMpnenyAeBrqroZs5Hwv4hn53ARmQY2qeqdYX14IseHRGTPoNerqjVVrQJnAxeI2W17ArMX4FtUdZeITAJPBz6kqnOquk1V3wt8D/D3G0vQuETkBSLyExHZJSKfdUrWnuD8FfBBMTuU3y0iv5PgvWu3vz902naKyPVidrs/wfsXWVC/Tvulzl8mv3V+eReSfl4slm4wagJ/GWaXeoCDgF9iduy+AfiMmB1WcM7545i+TsX84F4I/LmYzVFbEJGDgcudax+E2SDB3WDiT4FPAqjqI8CtwB94nv77wFfC+nCe50aO+6rqoxGvF1X9Fiaavwh4O/Azt4ynqs5h9r+8QUT+TET2cdpPVtWHY96LFvzjEpF9MRvHnoV5z+eBK5xzno7ZF3ETpl7630L4e+cca6e//YFPYGqcPwFYB7zFO+6wfkXkBMxWeAdidlL/E8z/DyT7vFgsmTMyAnfk/HSMpMDsOH2FI67LgX0wP5wAPwGeFdPlm4CPqOpDmM12/yLkvJOB61X126q6neV0xXpgCvhvEfmRiPwIeA5m70KXP8JsgBzWR5rX63Ie8EqMuN7kO3YiZmPedwK/EpF7ReSsuGsBSWoSn4J5Dd91XsOFmBrtAI9hdpxfwAh3k9Me9brb6e+VwOdV9TZnO7uzMWmipOPcE3ghsBOzp6n7yzHJ58ViyZyREThGmAWWN+z9jXtAVSuYH/r1TtPjwEonh9yCmL0ZVVW/4zT9A3COiBQDTt8X+JXnsbuTuptXPl5Vj1LVo4Cvue1OX88Ebo7oIwr/6wUz6EcxaZ8vquq9ntckwBZVfYeqHgmsBf4a+Fsn+oTW7eBwHifZDuuJwJkisuDciLwbsyXZCuBxz0YbCyy/N1Gvu53+9gN+4Xkv7lLV/044zu8D52LSZY9idi5y/+qK/LxYMqRQhPJE9NcIMUoCd3+Ixfl3b/eAmJkZewK/dprqvn/9vBm40n2gqt/G3Bh9acC5j9IcVbvfz2Dk4j22L7DF+f444AdO7jqsjyj8r9fLblr3JTwJTzSqqjtV9VrMXxdPdZofxOxw7uVApz2OLcDfebYfWw08A/MehBH1utvpbwZPPl9EnhkwgySs30OBH6rqczARvQJvc54T93mxWLrCKAn8McwPtxs17S0ibxCRcUxa4VYnDw0mNzrv/JndhIgcgEl1XOs79CFMhObnBuBljizWABdAI+r/GvAap9/NmNzql53nvRiTPgntw0MN2BDzeuP4LrCXiJwvIhtFZEpEfh94nnMM4Drg/4nIk0Wk5PwlchZm/8UgvOO6AXiliGwWkZWYfPU7Y8YU9brb6e/fgVeIyFNEZD3w95iI3X/NoH6fjrnJvDdG3isw7zFEfF4slm4yMgJ3Itn/BZ7iNN0GHA9sx0TOZ3pOPwIz+yKIc4CVwD0i8pD7BVwKHCcix/qu+1NMpHY9cA/wFc/hNwG/IyL3Y3K156iqG83+PvBfCfoAI/rbRGRjxOuNRFV3YqLw4zFpg4cx4nqNqv7AOe0y51pfxUTxH8bsmXlzSLeNcTmv4XzndW7BpCreGDOm0NfdZn+3A/8X+BJwLyYt8rGAawb1ew3mfsIdmB3fH8P80oboz4vF0jVGak9MEXk7sFpV3x1z3qXAQ6p6ZdR5eSfp67V0xrB8XvKOiOz/0hOe/MvrL/vzyPOKv3uB3RNzSPln4A8lYmGKiJQx0e/Hezaq7hH7ei2dMWSfF8uAMVICd6aF/RNmOlkYpwBXOdMLB5qEr9fSGUPzebEMHn2LzETkXcC7fM1F4LWYRRbvcNquVNULneesAz4FPBeTh3y9MwMkMap6Vczxf03TX96Je72Wzhi2z4tlsOibwJ1l2u91H4vI0zE3lLZhbpYdj5nq9nURuV1Vb8TU89iCWXTzf4DrRWQ/VV3q9fgtFkvvkUIJGZ/u9zByQy5SKE6O9hOYlXEvx/xJepczI+MfMdO6xp1j71LV7ap6HWYmwPP7NW6LxWLpJ7kQOGYu8YNOrY4jgds9x+7EVMY7BNjlLF33H7NYLJaRo++zE5yaHW8DXuE0raJ5+fes0+Zv9x4L6vdMnLndK1euPOaQQ/wLCC0WSz+4/fbbt6rqxvgzLXH0XeDAH2JqcLiLRbYD3oIGk5i8uL/de6wFVb0auBrg6KOP1m9/+ztBp1kslh6zcuVkktILwRSKUOq85reY2vsfxkyY+BJwhqrOhpx7M3Ceqn6/4wtnTB5SKK/FbCTgcjdmZZvL4cCPMbNO1rq1mX3HLBaLJRFO6efrMCU09sXUC7ok4LyTROQq4Nm9HWFy+ipwpwLec4Cve5qvBd4oIvuIyKGY+iKfVtXdmKXZF4nIhIicgakSd0uvx22xWAaaF2MKk92oqu6st6C1Es/GZClyW+Om3ymUIzBpkZ+4Dar6ZRG5BvgpUAUuU9VvOof/ErMBwuOYSP3lqlrr6YgtFsug458ocQewp4hMeQuSuSUoROTEHo8vMX0VuFM4qCWhpaqXEPAnjVPL+vd6MDSLxTK4bBCRWz2Pr3buibmswlMCWVUXRaTqtOc22g6i3xG4xWLJOQXJ0R+57qbG0WxV1WMjjjdNiHD2AygRMiEiz1iBWywZUqtlW92zWAzaj8PSIXdj8uAum4H7VHW+T+NpGytwiyWGrKWcxbWt2DviRuByETkek/9+H2Yj64HDCtwysmQh5mo1m13USqV0E8Kixm7lHo2qzojIqzGbdGzETGO+VEROA96jqgOzutsK3DJytCPurESdtP+0Qvfivr4sRJ6r/Dcsb2rcIar6BeALvuZrnC//uft3fMEuYQVuGRmSijuprCvV+P7KpfYk6h1DuzKv1dRG40OOFbhlJAiSd9qoOomwO31OkPA7kbmV+HBjBW4ZajoRd5x8q7XofkrF9JGze82wyN0dexqRW4kPL1bglqHFL+84cXcq7LTnRwk+qcghmczbkXju8t9g5oFnUMxqWLACtwwdSaPuJOmNMAnXEjy3GJP/DuvbK/Y4kUNymdtIfPiwArcMFUmi7nYj7SBpu+cGRdNhkk8q9rQih/gUi5X4cGEFbhkKkkTdUeJuR9pxbWEpkqA+g6TeqcitxIcfK3DLwNNO1B2Vn04s7YDzSh6x+p8TlfP2XtMv83ZFPowS10IJtTnwBlbgloGl3ag7abSdVNpRx6OEDtGplyxEHiXxKHJ5A9PSghW4ZeDIWtwufmEWS8Xlazr9uU1RfUVF2nH577DnxqVMkkg6LOK2sh5crMAtA0G7NyfTTv0LI0ruUcTNBY8Sc7srMKNSI1bWw4UVuCW3ZJ3b7gZeQXcaJXcjJ22FPdxYgVtyRVi9Eq+8+y1tMOIulyRSyjYS7gYFtDDe70EkRkS+gqk3/iDgfnAFUFV9Tqf9W4Fb+k5UkSlX3HmQtotX3q6k44QstcXo49XdLW1aWtn+IN0+ioMjuyHl/2D2/D1RVaM/BG1gBW7pC3GVAYMi7naknXTOdRL84i5ILVDMQTJuOl5P9nMsS+a8diNOLa1sjK9Tkde1aP9qaANVrYvIK7ohb+izwEXkPMxO82uAW4GzgHuAK4AzgN3Axap6lXP+AZhd6Y/B/FZ7jare1YehW9ogbTnXKHEnWcoeOo6qppa4V97lUh2pLTZEHSdkqS2kPq7FFS3HvW1heGXvjs8VeRYST4MVvkFVf9atvvsmcBF5BvBW4FnAI8DFwEeAa4ETgcOBdcA3ROQWVb0dU2z9JuBFwOuB64Cjej96S1LSbJ4QlC5x5d2JsDshLOqW6m6kvtgi31hZJ42+64upIm9X7v7+tTDe8hdBr9IqaYWfCCkk+kWWV0TkPap6cVb99TMCr2GS+u4YisDjwKnA+1X1YeBhEbkOOFlEZoCn4eSSROQK4AIROUxV7+7D+C0RtCNuaI268yxuqS1EClmqc/EXCjrHWWkozDWtOgyTuhZXxP7icEWeZVrF0hYnYoLVTOibwFX1VhH5PHCv0zSPiaa/B9zuOfVOzIt+KnCXm0tyckt3Awdjdpm25IROom5vuqQWk/tup952EtLIu0nSccKuxGx6XpmD8uTyeeUJ07936XiKn9hAsVedYynSKl2JpC2Z0M8UyguAlwJHA/cB78ekT1YBOzynzjpt/nbvsaD+zwTOBNi0aVOWQ7eEkHW6xCtu7xJ1d3m693gWMk8t7upcuJQrMTIPk73bXppMJHQtTQamTaA5dy61BfOvE8X3K61iIdPJ/v1MobwE+KST20ZEzscIugp4dy2dBLYB233t3mMtqOrVwNUARx99dH/+Dh8h2tlvMipd4rZ5xV1ZqlEeK3ZF5m3LuzIXG3nr4mz8ALx9lCZhcRYZnzbtrrC9Qnc29o0TuhbGQ9Mrg5hWUSkOdA4c+M8sO+unwOcweW+XKiYv/iPgCExUDuZm5o8xs1M2i0jBSZ8UgEMxs1EsfaKb6RJX1JWl5dkM3u/9Mgcj9DQy71TcgXLuOJViBK2unJ1rNAndjfD9Qm95geYfV+RZpVUs7aGql2bZXz8F/kXgcyLyaeAu4CLgy07720XkJuBJwCnAcap6v4jcC7xVRK4E3gHc4dzstPSBNPJOS1zVv3Zxpw9mIu5ORQ3BqRZv2sSlNNn4ZSGetpY0i/eYh0bqxJF44DFPNG4lPhj08ybmzSLyTuCzwEbM9MAzgK3AUzBLT7cD56qqG42fhpkHfgnwA+BVvR63pX1xu8vOS86nrlo1KqpUlVLRRN9ukahScTkiL5VKDaGXAuZve6Ns//xu95hbp8Qdw7K055GlDKXtpezJ+IXJvOwRrStj//O9M1HGp5vbYs53iZqS6B7LYuWnpbf0dSGPqn4c+HjAobOdL//59wLP6Pa4LOGkTZlE1QppR+gQLmloLijllTW4C0ucRTjdknYYZf/tGwev2F0Ze891pxS64va0RZ0PNKYgeuXtRt+Nfweorghg5oEP2pg9OKnf24BjVbXjlU52Kb0lMe3cqEyDV+jVap2yI29X6F6CRA3BsqZO06rJjqUdFE2HCTqOsOd1EHV7544nlbc3+rbpk+7h3L+7DXgdcFWn/VmBW2Jpd1FOJ3il7Ard3x5USMqdTeEXtjnWhrST5LGzxh91e1MiCaNuP0nlbekJRwKvFZH3YNLEsFyh8PA0HVmBWyLph7yDGB83IXicrE37QvO/QfO2w8TdrrA9M0HaJkm6BGKjboiOvJvOs/LuB+eFtKe+uZRY4CLyZGC9p2kcM497r7QXtQwGnaZMzHTB9vZkdAmq+pdE2Oa8BNJOI+ywxTnl4Kg3FW1G3UERd5y8I29o5j19IqVh+KVzFeGyzj4CF5H3Am8AFnFCfczMkcvTXMwyOGQj784Imt4HzQWjvPVIGsvao6Ttpk2yJGCBTSrC5N1B1A0hEbdNneSBszzfF4A9gFdjZtalImkEfjrwdEzZ17eo6qtE5B3AQC+JsrTSacqkW+KOjbIhVtr1yhzV+V1Ul8x5pbEJShNTgWMopI2q/VMAkxIn7wzEbfPe+UJVb/K3icj1mDpQF6bpK6nAp4FfA1swRaXA/BlwHxlW1rL0jyxy3Z3KO0nVv6YoG4Kl7R6vzFOf29qQdm1pjtriPNWleUpjEywBxfEJimOTlMaMKF2h1xNE6YGSTxOFe+Xdpag7jbzD0icFqdmCVt1nDaZ8diqSCvzbGGG/DSiLyAuBlbSRdLfki7SLctLKO0kePC7ibroJCc1pEKctKtr2irs6P9sUgQOUJqYpjU1QHJ9IFJ27eCVfKE+mi8JLkz2Juv3n2sjbICInAR8GngB8CThDVWfTntPmte+i2Z0FYD/gsrR9JRX4qzBL19cAb8EsvikC56S9oCUftLOaMk3KxK1HElWLxBU3kHwZO7Qt7UqlSqVSp1IxYy6XlyiXC7B7lnK55Eh7OjY6jyUqCk+ZMokTNySX9zCgUuj4RquIrMVsBnM6ZgX41ZjV3eemOacDzvI9rgMPqeov03aUSOCquhUjcIAHgH3TXsjSf9pdAp826k6yd2W7Ff86kfbiYo1KRVmqmPGNlQuUy+JMUawZoXtkDq3ReZjM65W5+Cg8St4ZR92B50dE37mffZItLwZ+qKo3AojIZZgI+9yU57SFmwMXkT0wNzB/pao72+krUuAicjjwMczUltuAMz11SSwDQidFp7KWd2pxQ+wNyaXZmUTSdtsWnAh8RVkol4VyucZY2amZUhbGx2uR0XlxfILFXTON6DwwMvdH4UHybjPqDpxd0oG8R5Ajad405g5gTxGZUtVdKc5pCxHZl+XtIHcC60XkP4E3qupv0/QVN0H3auBbwDOB/wX+Of1wh4dB3aTVXbHYDqVSIfCrXJLAr1Kx0PTlrfhXLtUp1ucoLD5OYenxZMvadz+K7n4U5mdgbob63FaWdm5hYcdjLO6aaci7EyqVeiMq97f7qS7NU1tMeT3/zcqE8tbCeKKo258yGba0SRtsEJFbPV9n+o43bQ7j7PJVpXlzmCTntMtHMGmZtaq6D7Anpnjfx9J2FJdCOQZ4nqpWROSvgVS/HYaJQZW3i1fiWZSBDbspWfJ8otxiVh2Va41JlTRde2LafM3PUnYi8XJZPJF4gaVKnbIj5nK54Iu8i05EXqBcNi/EH3kDLZF3YzZKgJSzynXHpUuCnpMl7ue//7NRJMkYtqrqsRHHmzaHEZExjAu3pTynXY4H/lxVqwCqukNE3g08mrajOIEXVbXiXGROROzS+yEga5mHXaNYLCabFhgh77BpgFEkETk0S9s8LjSlS4CGuNNIG2JuUiZcRdloS5nr7ibeQKb/Mm+buzE5bpfNwH2qOp/ynHb5NSY49s4HPwL4TdqOrJATMOjRdxRpZZ40HZN6dklE1L24ayaRuP1EiRxoiraDbloWx4xg2xZ3BzNLoLdRdzubOPh/LgZI6DcCl4vI8Zjc9vuAT7dxTrucB/yHs6n7/ZhJIX8KvDltR7ERuJNcB7OEfszzGABVfVHaiw4SwyxvP53kyqFZ2kC0uKFV3vMzidMlaQgSOdBycxLIPtr2tLcr7qC2POa5B0XoqjojIq8GrsGUBPkccKmInAa8R1UPDjsno+t/RUSeBrwSeCImdfI8VU29PWScwE/3Pf4MyxPQxfO9pU/k4YfGH21Dc6GptFH3wo7HIhffuOmNtHhF3njsS5GY9qnk0va0JUmTRBeSihd3XB95ohvpFtVs0n6q+gXgC77ma5yvqHMyQVUfBP62034iBa6qnwAQkWdilsw/0fMcV+DXBD978Mlr9B01rl4JPSjahjbqb4fcpFycfbxlWiCAq8N2Je4+d3zarFr2RtupI+2Ic8M2VfASt7t6llG3u99lv8jrz1I/EJHfxfh0f3wOVtUD0/SVNAf+Kcy8xQsxO8db+kA7PwRZR0FJou2mtjZvUlbnZ5nfPds0n9ulXKlSdhbVpBV5aWyCsen1rSmStOkR77me40HbmLnECTvsvEGJuC2JuRbj04vo0KdJBb4ncIkzF3IkyEvEkOU42o3Ok0bbjTZ/WdcUNyn9UfeuXdXGQpyxcoFdu6rOzJF6qmjcTZWMT61fjrYDUh5phQ3R0XYSaUed00t5293oe0ZmPk0q8E9g6p5c0ekFvYjIGzFL9NcC/+Zco+Jc5wxgN3Cxql7lnMRDfYgAACAASURBVH8AZlf6Y4CfAK9R1buyHFMe6NUvjyih+3e+SRVtQ3CVwIiblAs7tiRYRVmnXC5QqShTUyXm5pZio3F/jnts1R7LS9eT3oT0HiPZ7jdBJI3A/X1alqnXtas7P/WIzHwat5TerZpVBJ4kIu/CLOZp3EVIu4ebp+9nAe8CXuj0eQPwV8AjwImY5fvrgG+IyC2qejsm334T8CLg9SwvR82UfkXf/Y76w7Yri92qDEIrBfqj7qWdWyLrlszN1WKWvyuVsrsQRyKj8fHpdc057skNDXEHlnANETaER9lJpvqlxcp7OOmGT+MicH/VrCx5CfBpVb0TQEQ+iEnsbwXer6oPAw+LyHXAySIyAzwNOFFVF0XkCuACETlMVe/u4jh7Qr/l7cWfKjFtzTcmzfHkEXfYzBJ3Sh8EL11vh9B0ycT6ZXF7C0hBW8JOK+t+i7nfNzIt2fs0bhZKy84RGTKGSZG4CHAApvaut4jMnZiI/KnAXW7eSFXrInI3cDBm1VRm5HX+ahDevSIz7TdiVok5HrHf5LypWZJE2l7MohoSLX+fmio1LcRZsXqPpnTJitUbl8Xtj7oTVP/rVNr9lrUlf3TDp/1cifk14AMi8lFgF2YVUhFfERlg1mnzt3uPteAUsDkTYNOmTZkOPGvajb57Ie/lay3E36D0ids/FTApYSI3x0zaZHKy2LQQpyVd4pG3rNwzVNxZSXtQhD3oUbhqNtv2DQt9E7iqftFZjfQdYAmzdPUAzFRfbzX8SUwBme2+du+xoP6vxlRT5Oijjx6q//FuiRuCd3yPnc/tiNudUbI4+zgLO7akknYQfpGbNhN1T6ycblqI05IuCYu6I6b7JZX2oMi6HexMlMGibwIXkQOB/1DVS5zHpwN7A/tgCru4dccPB34M3ANsFpGCkz4pAIdiZqMMLGmi76zE7c1tBx5PIG+3xGuQuOfmlqhUlF273CXr4qQ84qoXB+OK3Hzfmi4JirrD5O0XdxJpD5uwBz0KH3REpKiqNef7KWDefZyWfqZQjgEuFpETMFu1nQ+8AXgS8HYRucn5/hTgOFW9X0TuBd4qIldiph/e4dzsHHqSyjtOzsmvZ+RdWNoWKG53Rok/4p6bq7FrV5Xdc9WmqHn3XK1pBxw3kk5K0nRJSwlXn7z94h6UperedFYa8vhaRhURKQN/DzwZeJ7T/EfAVSJykar+fdo++ynwG4DnAj/DFEr/G1X9uoh8E3gKpsD5duBczy5Ap2HmgV8C/ACzV+dQEyfuToQdJgWpLVCo7DBRtyPrMHG7Kyb94t65oOxaNMWxpsbrjBXrLTvgJJF50G44TekSCI+6IVTeedw3sl1JWwaGv8Ls9PNqt0FVrxORXwCfFJEFVf3HNB32Mwdex0xmP8fXXgPOdr78z7kXeEZPBtgD4tInWco7qRwa8l7YCnMzjV1xmJtpiNtdeOMudTfirjE3V2OhYsQ9uyQsVEyfizVhvAhjRRgrLct8crJIpaKBIg8Sd2jUDZGzTFx5e6PuvEgbuituqS8GvtZBTaOoaqI9V3PKq4A/8G9erKq3iMirgH8FBkPgFjNdsRfzv+MEEZjrnpsJzXN765S4S93dOdxLNfMVh7uJQvAxI+8Vq/ew4rYME/sCvwo59mNMscBUjITABRPt5nF+d5TEtTje8Y3LqDRJy4pKN9c9v9XI2yk2tbDjsaaNg/3yXvKsllyqRtcUHyuazYS9+LcyC5L32Ko9YHJ96/6SEdJuiNs708SJOrO6V9AOvRZ3WBRu6TmPYDIINwcceyrwUNoOR0LgLnndDqobkXicuCN3gA9ImQRVCPQud4fmyHuhAks1Yay4PINzrLT8vbsgp9zIiwfLe8XqjWYJfNAqSs+UwDBp5yVNkMdoe1DTKAPMx4GPicifqeqtbqOIPBmzYXzmmxoPLXmTeZjE24nC/bJIvCOOr8SrV97uLBN/eVd/rRKAxYDfRWOet3h5D0o3990q78aNSlfeK/dsRODeqYCutIOi7DyQF3GnicLzPBdcFWqDu5DnMmA/4BYR+TUmIt8AHIgp2X152g5HVuBe+iHzWk073sLMT8vKySSrJ33L4b11S4I2VfBXCXRZqsFSVWLz3yucaHusXPCkTpbl7dbqdlMmsnJPmDASr4+tBWiRdp6E7ZIXcVvyg7N+5a3AR4DjMFVYZ4Cb2q3nZAXuw5V5t0Tu3Q7KL/FOonDv3pONx2ErJyFyN5yw2tzBJV6bo+8oxorN0Xe5LExOjjXJuyll4kTdumIDWhinPrbGRN0ZCFtLKzPPgw+itG0apXeIyFuA5zsPv6qq7+u0TyvwHhC1h18SiQfJu6lSoD9l0sY2ZnMzD/H4bx5i27ZKU147C8aLJv/t3rxcjr4LieRdL6+mXl6da9EMgrztzcy+83+BTZhCfj8HPtRph1bgPrKOvLPYgNVPkLxbUibOopsmcc/NtEh7dusjbNmyyPYdFR7ZAY/tFlatUPaeVqYn41dKupF0+PEiKyeLTE2VmJwcY8XqPRifXsf41PrQNEl9bA31sXWdv1ERZBl9D4K8h4X6YM8D/yrwNkzRvq9n0aEVuEMebmRC6+Ief/SdWN7zW5tqcrsbKfilvXUXPLxTWKgsS3ihImyZFVaUYZ9Vyt5r0+fqV06W2GOPcdY+4aDYvHatB8LuFlbelhScitnARjCryTtm5AXeTXF3Gn175R2WMmnKeTurJ70LcNw53Nse+Tnbti3x2NalQGkHsVCBn88IP5+BPaaTReVrVpfZY49JVu97GNNP2AyrNuUuHZJZvRgrb0sKVFUxUXhmjKzA8xJxh5FK3rUFI++dv0a3P8DSzAPMzTzUkPb2HRV+s015bDfsXGhv5suW2eio3C9u2Xg4rDuU6tQBuYmubdrEMmyMnMB7Ke64aYJhe1A22kJkDZgqgW6qZPsDLM48wM7f3Mfs1kfYtm2pUQlwqVJndq7O7JI0ikt1wkIFZpdgaq7O9GSBPfdYwfqNa1i172Ym996MbDgcXXcolcn9WCxuYH6hBs4sxXLJXL9UWo7i3fco6L3Ikn6uvOwHUlvIZH/OvKEK1cGdB545IyFwpf8RtyuotKJuyWs7qyR3b32QpdkZFnZsYef2HWzbVgm87li5wF4bxthrw3Lb7rkqM7N1Ht4hiSJyN32y14axRl571b6HUVh/KLLxcGrTB1GdOoDd1ZCKgqXlawTJG5pn37iLSLq5ccWw4n5usibpz0+e9nYdBUZC4L0kKqoOErX3+8ZNSTcd4sh6cecW5mYealQAdEu3bt9RaZRtHSvChimTyohj5WSJlZOw357N7e5NzbGSste6EnvuMc66vfdl1d5PYmyvzciGJ1NffTDVqQOZV9/mSCGb75RLEiptl27/0A/7fO8wabcbhXeyCrPfgdKoYQXeAf6oGqJl7Rc10Hzjceevm2ptz259pKnO9sxsnV2Lwo4F2LUo1FUwN7QNP5+BglTZZ7WyblJZt7rEWIJNE6amSqxePc6hRz2RyfX7MrZ+/0YqpOqkQpri+xR/wbryDksnhcnbRt/xZBFtJ7mZbKWcX6zAU5A0Zx0m7Iasd/yyqVjU7i0PNiJrL4uLNXbP1Xh8R7VRY3vnwnKd7SDqCg/vEBZrsFSrsn66wMpJ89/sinpqoyPqvTYjqw+AVZuoTexNbeIJLOkEOxdqy/nqYnvboHlJK29LPN1KleS1BoolGCvwAJJEhd5Iu2k2SEjOes6Tsw6SdRDj40XGx4usWzvWaHt82xJzc7VG6sSNxsdKsHHlcuS9bu1Ys6ydqNqVtRZXUHWWpWtxnLoWqdWU+YUa1Vqdas3Iu1I14wy6AdkpvaqH7o8yO02paGG872mUuNRIVjcx8xZ91+tKJUnB+RFhZAWe9k93f6Tdsu2YMxvEO/favcHo3bFm6y4zi2Pngim1unoFTI0rq1YIa1aXmZqK/i9Zt3aMdWtb28tlYd3e+zK5fl8mNzzRzL9ecwA6vYl6eTW1gDKrbrTl/SGdWFGkWs1e1mnJohZ6aN8Z1ATPg8SjGJS9Pi2dMRICdzd0aGmPqTHSaPMUiiosbVu+wTg/Q80n7Pnds2zbttQQtj9SrnvyxwsVYeeCGeGKMqx6vML6ySVWrTDbja2cNBG4l8nJIhMrp1mxeg8TWXtXN67aRG36IOoQuOejNxIN+lO5WBRqNe2puLu9oUUUnRa0yrvE/QSNVZaix+/99NXH1lErTGY8KksnjITAvUQtkPEuSTfHAwpC+TY78G/s6+atXXkvVd18dNxONcp4wF+rXmE3Cj6t3hS4HB2Cd5+B6NymtwJjUL660xWl7vPDcuHuXwBhlRihezc1ve9ROzIP3G9ygKQOUFjaHlxDx9mVyd3sozi5njEnUPCuqq2ObezzK8gOETkJ+DDwBOBLwBmqOhtx/s3Aear6/R4NsYmeCdz7QkVEgCuAM4DdwMWqepVz3gGYneePAX4CvEZV73KOvQq4FFgFXAu8SVVDJrB5qVNYfDyxpAF0cRYNqdwXtb2Yuyu7u73YUo3GTcd6iAcLjtfGisslV8fKBaamSqZW9sQ0xfGJ5Wp9pUnzFVD8qZObUGF10cPEm1bs3vOD+kwi8ig6lXzQjIyspN7Sb48kn0TObp0cfw34ubmlps07pqZKrFqzuimYKK3eRNkTTNQm9jZiH1/X9BlaXKwxv1hr9NUuWleqle7kwEVkLXAdcDpwE3A1pmbJuQHnngS8FHh2VwaTkK4LPOSFng6cCBwOrAO+ISK3qOrtwDWYN+9FwOsxb+hRInII8A/AHwD3A/+O2dH+A7FjKJiXWV73pJZj+quvIge+pPU5QP0776JwwhUAFMjmzbro2c3zpy/69nxH/RWdr7k5p5+UwfLk5AQL87ua2lZMTC33F/G82dm50OPT05Ns27aLtWunAs9zZT49PdlyLe8PftD4wkgi+RUTUyzumknUH7RKfXxqPUvbw/alTU4v8tFja/YLPeb99Znles2wn5HJSbN7Qc55MfBDVb0RQEQuw0ThLQLH+KwEJPtwdoleROBBL/RU4P2q+jDwsIhcB5wsIjPA04ATVXVRRK4ALhCRw4CTgRtU9bsAIvL3wHkkEDiEf5hlv98LfU7huPcm6ToVnQo7jMnJifiTQlgxMdVWf9PT0fnQtWunEp0Xd62g8XXC+NT6jp4fJUbLQHMkcLvn8R3AniIypapNolbVdwOIyIk9HF8L/397dx4uV1Xme/z7SwJmIBFCIjQyBBqBRMYQxaGjXAa5j23btNCoF4TLFBHSihG4CCIICLZcsWlbxCDK0AzN0KaBq3gVlSYOSCQICQkEm3ANGMgAgYST4Zz63T/WLrJPpU6dITm1a3g/z7Of5Kw91Lvr7PPWqrXXXmvQ71bZvsj2aaSpg8oq36j5wJ6kmZkX2F6X7VsCFmbretonhBDyxkmak1um9XG/McCq8g9ZHurMyhtSUTcxu71RwOtZWWV5rXXl8hBCm+hjP/Dltqf0tFLSBcClVVbdAozIbbc1KUe+MoBQ66Kojr6vknujgJGkN6myvNa6cnlVkqaVP4GXLVu2RYIOITQ/21fYHla5ALOBfXObTgQW2R6cds8toKgEvpDub9Qk4A/A08BESUMAsn/3JvVG6WmfqmzPtD3F9pTx41unm1MIYdDMAqZKmpr1SLkCuK3gmGoqKoHfCpwjaaykQ4DjgbtsPws8A8yQNAK4CJiX3ey8A/ikpEmSdsrWNfSbG0JoHrZXACeResL9CXiZ1G0ZSSdKerbA8Koqqg38emA/4HlS08jZthdl604ktUVdBjwKfArA9nxJF5ImAx1B6qN5U53jDiEUyB68fuDZ8e8D7qtSfjMpsVeWTxi0YPqgbgk8f6K2u4CzsqVyu2eAQ3o4xvWk5N8vv//971dLerq/+9XBOGB50UFUEXH1T8TVP3sXHUCraJdH6Z+udVe6KJLmRFx9F3H1TyPHVXQMraK44eZCCCFslnapgYcQWoBjPPBu2qUGPrPoAHoQcfVPxNU/EVeLa4sEbrshL5iIq38irv6JuFpfWyTwEEJoRS2dwCXtIemXktZIekrSoUXHBCDpXElLJK3O4tun4HgelvSe7P+SdLWkVZJelHRGg8Q1UtKNkl6TtFTSNZK2KjquivKvSnqgiJiy1+8Wl6QTJC3Ofpc/lLRtI8QmabykWVlcy7LfZWNNvtkkWjqBA3cCPwfeBvwj6QnQQmVPns4ApgLbA48A1xYUy1GSrqPnsdqPAi6XdFADxHU+sE8W14HAu4EzGyCu8rqDgC/UM57ca28Sl6QDgauBTwI7A1sD5zVCbKSBpF4FdiT9Lg8nPY3dq1KXWb+us+bSTlo2gUuaTHqQ4TLba2zfBBzXAJ/0XaRpF8o9gIYCKwuKpeZY7bafJE2o8fEGiOtI4CrbS2wvBW4g/eEXHRfZN4HrKe7mXLW4TgGus/2bbEqwk6nyJGFBsXWScs8Q0twSRf4NNLVW7kZ4MLAIuEnSh4HngDOzp0ALY3uOpHtJY74AdJBqIUXEUm1Q+mrjrtd10Poe4joNyE+FMwV4sQHiAvgiaYiHBcBe9YypRlwHk2a6egzYlfR4+PQGie1S4DE2JvUHSTPfhH5q2Ro4qfZ9OPATYBfgB8AsSVtyBql+k3Q4aYq5ycBo4EYaoGknpyHHXbc93/brkkZJ+hbwMVKzWKEk7Uv6hnJJwaFUGgccCxxH+lDZlepjYBfhalLT4bakZrHdqHNzWKto5QQO8KTtW2132L4W2Irix2E4GrjF9txsmqbzgSmSxhYcV1m/xl2vJ0mHkWq5ewCTbT9XcDxDgO8D0xt0zOjv2n7W9kpS0jys6IAyRwOX2F5l+2ngW6T7Lb0qlUzn+q6aSztp5SaUxaSEDaTeFaQPrKL/0N4gtfmVdZLaxYuOq6w87np5dMia467XSzY59h3AGbb/reh4MqNJc7j+OF1eDAWGSFpqe8dCI6u4/mmMa7+scpbrDcCaIgJpdq1cA38A2EnSadnY4tNJw9cuqr3boLsfOEHS5CyuS4AHGqgGV3Ws9oJjArgY+HwDJW+yGuRWtofbHg6cDvy0AZI3pA+7MyXtk327mwE0ynt3H3CxpG0l7QZ8Brin4JiaUssmcNuvAB8CPg28RPradqxtFxzXw6SbXncCS0ltgKcWGVOF64HHSR92d9N9rPYi7Q98T1Jnbnmw6KAa2I3Ad0g3CJ8ija3/L0UGlDODdG/lj6RpzG63fXexITUnFZzPQgihTyRNeN97jnjugvO+WXO7j3xsv8dsH1ynsArVsjXwEEJodZHAQwihSUUCDyGEJtXK3QhDCC2mFBM6dBM18BBCaFKRwEMIoUlFAg8hhCYVbeAhhKZRKpVYv25D0WE0jKiBhxBCk4oEHkIITartErikz0mqOsOMpNMlnTCIrz1B0tp+bH+WpPNrHUOSJfU4eFL5fCU9mBtDxJK6cj9/UNK8zTmXchySDpW0sD/HqnLsmuc0gOP1633vx3H7/b7l9h3Uay20h7ZK4JLGACeSBmmq5mbg7GyUwN6O9TVJJW3GhMSSxkj6kaQFSpMuV46J/FHSyG0DPj7Z+do+3PYw28NIA1W9+bPth2zvO9DXaVeb+b71+VoLoSdtlcBJw33Ost0l6SOSFmaznN8taaTtdcAvSPMJ9ij7ozuRNMvPZ3vZ9nRJL0laQRo2M++fgJ/ZnkiatuyG8szhkkYDu9ie39MxcrW/JZJ2qHW+vcTYrdYs6XBJT0haLenO8mQTfYkD2CFXPjb7YPpcreNWxLLJOVXbL4v5d0ozmi/Lfpfvzh2nx/d9gMfb5Hrpx/t2paQVkpZmH/xD+nqthe5KXSXWdqyvubSTdkvgxwA/lzQBuIk01vVOwFjg89k2Pwf+tpfjnED647sY+B+Stqu2kaQ9gauy1/1L0uQI5XUC/h64BcD2i8Ac4K+zTf478JNax8jV/na2/VJP59vLuVTGvDNwG3AGaTbzDuAbfY2DNHQvkkaS5jn8oe1rejpu5etXnlMv+70LeIE0Zd79ZFOs9fK+D+R4E+j5euntfTuUNIXeHqS5Tz9G+t1C3661EHrUNglcafqrd5Em6f0EcK/t32fTmp0F/C7b9Angfb0c7h+Aa20vAf4vacLdaj5Oar6YbftVus9JuD2wDfBTSY9Lehz4AGnuQoC/Ae7t5Rh9Pd/+OD57vV9nr3cxaSz1/sQxjDQJxKu2L+zluAONB2AZaab6taSEu0tWXivWgRyv1vXSl+PuABwJvEaaC7X8odqXay2EHrVNAiclzCGkCXt3Bf6rvML2Ats/zX5cCYzK2o83oTQvo23/Kiv6Z2C6pKFVNt+Z7jOp52dRL/fBn2r7QNsHAj8DhmXHei/wcC/HqCV/vv2xGzBN0trsxt9C0tRhe/Yjjr/MXv8QSdvXOq56n2S6p3iGAytzE3SsZeN7Wus9G8jxal0vvR33t8DZpKa2l0gzHpW/sdW81kL9STpK0iJJa7JmsNE9bHeSpMVZc9lDkgqZa7edEnj5j1HACrq31b5XG3sElCr+rfRZ4NvlH2zPBpaTviZXeomNNWoq/r+ClCTyZTsDLwPvBx613dnLMWrJn29/vAxcnZsm7K3AIaQbn32NYwkwFfgNG2u/VY+b1XYHEk+t/Wq9ZwM5Xq3rpbfj7g08ZvsDpBq9gS9k+/R2rYUKpZJZv76z5jJQWVPo7cC5pL9FAZdV2e4dpBzwGWA8afrGOwb8wpuhnRL4MtIf6XbAvwPHSdovqyF+k1QDg9S+2ZF9Ve5G0u6kZo5bK1Z9i1TLqnQPcEz2B78tUG5OwPYGUo37f2bHnkhqI32A1Pvk3t6OkekCxvVyvv1xD/AJSRMljSK1D3+xn3Gsyc7vXOBUSfvWOG41+WP1Z7/8OfQU60COV+t66e247yLdnP4LUvIeTvrdQI1rLRTio6QP21nZlIxfIzWfVToM+IXtH2dz2f5v4IBqN+UHW9sk8Kw2+ztgP9tzgQtIN9meIX3N/X626b6kmmM104FRwNOSlpQX4Erg/ZKmVLzmk6Ta1t3A08BPKo73D8C7JT1LanOdbvt50k2uH/fxGPcCv5c0vqfzrfW+VMpe7/wsnpdJTQNn9jUOUo2kfKynSD11runpuD2E8eY59XO//DlUjXWAx6t1vfR23JtJ9yHmkWaKX0b6wIfa11qov/2Bubmf5wE7SNqmYrtZpL/dsoOBN0j3OOqqrebElHQO8FbbF9XY5kpgie1v97RNs+jL+YbitNK1Vg+SJkw+4APPfebUTVo1ujn9sx8c0JyYkq4Hnrd9ea5sA7Bb1kus2j7HANcBX7Fd90mj26YGnvke8BFJVQfxkrQVqfb7g7pGNXhqnm8oTgtea3VR6iqxYd2GmgswTtKc3DItfwxJF2jjU8hvLqT7RiNy222dlb1SGYekcZL+A7gGOLWI5A1tlsCz7l3fpXq7FqSuYNfZfqN+UQ2ePpxvKE5LXWsNZrntKbllZn6l7StyTyG/uQCzSc1aZROBRVk795uyexyzSTe397F9LwUprGYm6UvAlyqKhwInkx6WOC8r+7bti7N9xgL/CnyQ1J746awXSJ/Zvq7Guhv7c6xmUOt8Q3Fa8VprAbOAqyRNJbV/X0F6OKvS8cCfbRf+FG1hNXDbl5e7XGXdrqaS+s6+QuqqN5V0c+B4SeUHIq4h3SB6O3A5cHf2NSeEEDaL7RXASaQbz38i5ZorASSdmHU2gHSz84NVmmF2q3fMDdGEkrXR3kR6wu1Y0lfLBVmPjO+Qume9JVv3Jduv2r6ddEf/sKLiDiHUV8mD1w8cwPZ9tne3vY3tk53GrMH2zbb3zP4/3faQKs0wz2+BU+yXhkjgpPEjnrf9n2zalWc+6SnAvYDVTo+vV64LIYS2U3jvhGzMji8Ax2VFY+j++PfrWVlleX5dteNOA6YBjBo16uC99tprC0YdQhiouXPnLrc9vvctQ28KT+DAR4CXbT+a/fwqua48wEhSu3hleX7dJrI7zzMBJk+e7Nmzf1VtsxBCnY0aNbLuTQ2tqhGaUE4mjVxXtpDuXXkmAX8g9TrZruJx1fK6EEJoO4UmcEkijS3yYK74VuBMSW/PRvg6G7jN9hrSI9aXSBoh6VTSaG+P1DvuEEIxSl1pVvpaSzspugllX1KzyBPlAtsPSLoZeBLoBL5m+5fZ6s+RJkBYSaqpH+teZpsJIYRWVWgCzwYAGlml/DKqDOPoNOvMh+oQWgghNLxGaAMPIYQwAEU3oYQQQp+VJzUOSdTAQwihSUUCDyGEJhUJPIQQmlS0gYcQmkapZDas3bwBq1pJ1MBDCKFJRQIPIYQmFQk8hBCaVLSBhxCaRqnLrO+INvCyqIGHEEKTigQeQghNKhJ4CCE0qWgDDyE0jVKX2RBt4G+KGngIITSpSOAhhNCkIoGHEEKTigQeQghNKm5ihhCahrtKbOhor4mLa4kaeAghNKlCE7ikcyUtkbRa0i8l7aPkakmrJL0o6Yzc9rtLmi2pQ9IjkiYWGX8IIRSpsAQu6RBgBjAV2B54BLgWOAU4ApgEHAVcLumgbLebgYeAHYC7gdvrHHYIITSMItvAuwDnYhgKrAROAL5u+wXgBUm3Ax+XtAI4CDjC9jpJ3wAulLSP7YUFxB9CqLOuzhLrVkcbeFlhCdz2HEn3As9kRR3AgcBvgLm5TeeTauQHAAtsr8v2L0laCOwJRAIPIbSdIptQDgf+DpgMjAZuBG4FxgCrcpu+npVVlufXVTv+NElzJM1Zvnz5lg0+hBAaQJE3MY8GbrE91/Zq4HxgSrZuRG67kcArwKsV5fl1m7A90/YU21PGjRu3ZSMPIbQkSUdJWiRpjaQ7JY3uYbvpkv4s6TVJ90v6i3rHCsUm8Dcqfu4ktYs/DuybK58E/AF4GpgoaQhA9u/ewBODH2oIoRE4G8yq1jJQkrYjdYw4F9gZEHBZle32Bb5CpHQQiQAADoZJREFUqoTuRGoJ+PqAX3gzFJnA7wdOkDRZ0gjgEuAB4AbgHEljs54qxwN32X6W1F4+I9v+ImBedrMzhBA210eBx2zPsv0K8DXgE1W2+wBwv+1HstaDW4F31jHONxV5E/NhSV8E7gTGk7oHngosB/YDnic1m5xte1G224nALaRPxUeBT9U77hBCy9qf7h0o5gE7SNomS9Rl1wPfA5C0PamS+eu6RZlT6KP0tn8A/KDKqrOypXL7Z4BDBjuuEEJbGkOqOAKQdVfuzMpX58o3AEg6HZgJrAWOrG+oSTxKH0JoGqVsLJRaCzCu3AMtW6bljyHpAkmdlQupQjsit93WWVlPHSWuJ3Wk+F/ALElbDdJp9ygSeAih1Swv90DLlpn5lbavsD2scgFm070DxURgke2O/P6SLpR0QnasDuA7wFh66NI8mCKBhxBCMguYKmlq1iPlCuC2KtstA86XtIek4cA5wJO2V9QxVqAfbeCS3kkas6TsLaR+3Dtu8ahCCKHObK+QdBJpzKXxwF3AlQCSTgS+bHtP4Puk2vmvSU0uvwaOKSLmPiVwSZcDnwHWkfpGmnSCVw1eaCGEUF+27wPuq1J+MymxY7sT+Hy2FKqvNfBTgHcB2wKft/0pSecBwwctshBCqOCYlb6bvraBjwb+RHqQ5oCs7DqqdPULIYRQH31N4LNJCXsYsJWkI4HDSE0pIYQQCtDXJpRPAeeRNaGQHr4ZCkwfpLhCCCH0ok8J3PZyUgIHWEwa6CWEEOqqVCqxYf36osNoGDWbUCRNkvTbbMjEX0h6R70CCyGEUFtvbeAzgf8E3gv8jmwAlxBCCMXrrQnlYOC/2d4g6SvA0jrEFEIIoQ96S+BDyyNv2X5DUqGjF4YQ2lvJXaxf39H7hm0ixkIJIYQm1WsNXNKPsv8L2Dr3MwC2PzwokYUQQqiptwR+SsXPd7Dx4R0RD/KEEEJhaiZw2zcBSHovcCmwW26fcgK/eTADDCGEslKpxIYN64oOo2H09abkv5Jma76YNHN8CCGEgvU1ge8AXGY7PvpCCKFB9LUXyk0Mwrgnks6UtFjSKkkzJW2t5Oqs7EVJZ+S2313SbEkdkh6RNHFLxxRCCM2iZg1c0gJSO/dQ4B2SvkR6mOfNm5e2Jw3khSW9D/gSaTbnpcA9pMlBXwSOACaR5pn7haRHbM8ltbc/BHwY+DSpWefAgbx+CKH5uNTFhg1riw6jYfTWhHJGL+s3x9HAbbbnA0i6hnSjdDnwddsvAC9Iuh34uKQVwEHAEbbXSfoGcKGkfWwvHMQ4QwihIfXWC+WhQXztrYE1uZ8F7A7sBMzNlc8n1cgPABaU2+FtlyQtBPYEIoGHENpOkU9i/oxUs54gaRzwWVJTzRhgVW6717OyyvL8uhBCaDuFjW1i+35JBwG/AtYDs0g18JGkmZ7LRgKvAK9WlOfXbULSNGAawC677LJFYw8hhEZQWA1c0h7AD22/3fbuwJPAb0jNIfvmNp0E/AF4GpgoaUi2/xBgb+CJase3PdP2FNtTxo0bN4hnEkKoF7tEZ+e6mks7KbIJ5WDgLkk7SNobOB+4HrgVOEfSWEmHAMcDd9l+ljSp8gxJI4CLgHnZzc4QQmg7RQ4Pew/wQeApoBP4qu0HJf0S2A94ntRscrbtRdk+JwK3AJcBj5Lm6gwhhLZUZBt4ifRw0PSK8i7grGyp3OcZ4JC6BBhCCA0uJmgIITSNGMyqu5jQIYQQmlQk8BBCaFKRwEMIoUlFG3gIoWmUSjGpcV7UwEMIoUlFAg8hhCYVCTyEEJpUJPAQQtOwu+jsXFtz2RySjpK0SNIaSXdKGt3L9u+UtE7Sjpv1wgMUCTyEEABJ25Fm+ToX2Jk0R8FlNbYfShq/aeu6BFhFJPAQQkg+Cjxme5btV4CvAZ+osf0M4Ld1iawHkcBDCK1GA9xvf7rPBjYP2EHSNpu8gLQXcDJpVNTCRD/wEEKz+PM63qBUKvW4wXo6ALaWNCdXPNP2zD4cfwxpFFQAsrl3O7Py1eXybC6CG4DP2V4jDfTzYvNFDTyE0BRsrxvGW8pJuqrVLAO4oTyZS7Z0S96SLpDUWbmQKrQjctttnZVVzvp1FvBH2z/dQqc2YJHAQwhNYxvGlZN0VatZDlAzsdq+wvawygWYTffZwCYCi2xXfmIcCnxS0lpJ5W4viyX9TT9PZ7NFAg8hNI2lLNgvS9KbMGZdaumYP8DDzwKmSpqa9Ui5Arhtk9exj7H9FtvDbQ/PiifYvm+ArztgkcBDCM1k/jpWY7zJig5WMZy3YnvTlX1gewVwEnAz8CfgZeBKAEknSnp24GEPjriJGUJoGra9nXamg1WMZNtu61aznG3YvAnMs1r0JjVp2zeTEnu1fQq7ixkJPITQVLZhPKtZXiWBL2MNKwt5IrIo0YQSQmgqS3h8x8p28C46KVHC9ksFhVWIuiVwSQ9Lek/2f0m6WtIqSS9KOiO33e6SZkvqkPSIpIm5dZ+StETSa5K+Iym+QYTQZmy/VKKLLjrfLFvDCkYxtsCoijHoCVDSUcDfAX+VKz4FOAKYBIwFfiHpEdtzSe1MDwEfBj5NGpvgwOzJp38G/hp4Fvh30oz2/9RbDEOGDGHkyBG9bRZCaBKjGMsaVjKGtwGp/XsFi48sOKy6q0cN/K9IHxSrc2UnAF+3/YLtJ0lJ+uOSdgUOAi61/RrwDWCCpH2ATwL32P617ZeBb1J7nIIQQotazn8dme8PvoaVkPpxt5VBT+C2L7J9GrAiV1w55sB8YE/gAGCB7XXZviVgYbaup31CCO1n9hvZA5Lr6WAYb8H25o0l24SKuok5BliV+/n1rKyyvNa6cnkIoc3YXjuUrdhAxxbpPtisiroJ+Cq5MQeAkaTxBirLa60rl1claRowDWDXXXfd/IhDCA1lG8bzOstZzTJW8ef9i46nCEXVwBfSfcyBScAfgKeBidloX+VRv/YGnqixT1W2Z5YHsxk/fvwWDj+EULSlLNh/NcvKj8/PKzqeIhSVwG8FzpE0VtIhwPHAXbafBZ4BZkgaQRprd57tF4A7SAPITJK0U7Zuk3EKQghtY94bvMJwxgz48flmV1QCvx54nDT27t3A2bYXZetOBP4eWAkcThqbANvzgQuBB4GngJ8DN9U37BBCo7Dt0byN0VlXwnakdvjgkvQ6qXmm0YyDHoZWK1bE1T8RV//sbbvmZMGhb9rlScanbU8pOohKkuZEXH0XcfVPI8dVdAytIsZCCSGEJhUJPIQQmlS7JPC+TGhahIirfyKu/om4Wlxb3MQMIYRW1C418BBCaDktncAl7SHpl5LWSHpK0qFFxwQg6dxsXPPVWXz7FBxPn8ZqLziukZJuzMaCXyrpGklbFR1XRflXJT1QREzZ63eLS9IJkhZnv8sfStq21v71ik3SeEmzsriWZb/LoUXF1sxaOoEDd5Ie+Hkb8I+kJ0ALlT15OgOYCmwPPAJcW1AsR0m6jp7Haj8KuFzSQQ0Q1/nAPllcBwLvBs5sgLjK6w4CvlDPeHKvvUlckg4EriYNw7wzsDVwXiPEBlxKGttoR9Lv8nDS09ihn1o2gUuaTHqQ4TLba2zfBBzXAJ/0XYDZ2Ad/KOmp0yL0eaz2BojrSOAq20tsLwVuIP3hFx0X2TeB6ynu5ly1uE4BrrP9G9uvAyfTw6S8BcTWSco9QwBR7N9AU2vlB3kOBhYBN0n6MPAccKbtriKDsj1H0r2kMV8AOki1kCJiuQhA0hG54mrjrufXFxXXacD/y/08BXixAeIC+CJpiIcFwF71jKlGXAeTZrp6DNiVNNP69AaJ7VLgMTYm9QeB/1Pn0FpCy9bASbXvw4GfALsAPwBmSRpeZFCSDidNMTcZGA3cSAM07eQ05Ljrtufbfl3SKEnfAj5GahYrlKR9Sd9QLik4lErjgGOB40gfKruSEmcjuJrUdLgtqVlsN+rcHNYqWjmBAzxp+1bbHbavBbYiDU9bpKOBW2zPtb2a1LY7RVKjzMjar3HX60nSYaRa7h7AZNvPFRzPEOD7wHTbHUXG0oPv2n7W9kpS0jys6IAyRwOX2F5l+2ngW6T7LaGfWrkJZTEpYQOpdwXpA6voP7Q3SG1+ZZ2kdvGi4yorj7teHh2y5rjr9ZJNjn0HcIbtfys6nsxo0hyuP06XF0OBIZKW2t6x0Mgqrn8a49ove6Pi5w3AmiICaXatXAN/ANhJ0mnZ2OLTScPXLqq926C7HzhB0uQsrkuABxqoBld1rPaCYwK4GPh8AyVvshrkVraH2x4OnA78tAGSN6QPuzMl7ZN9u5sBNMp7dx9wsaRtJe0GfAa4p+CYmlLLJnDbrwAfAj4NvET62nZs0QO/236YdNPrTmApqQ3w1CJjqlBrrPYi7Q98T1Jnbnmw6KAa2I3Ad9g4fv6jwL8UGVDODNK9lT+SZpK/3fbdxYbUnOJR+hBCaFItWwMPIYRWFwk8hBCaVCTwEEJoUpHAQwihSUUCDyGEJhUJPIQQmlQk8FAoSYdKWlh0HCE0o0jgoSU1wLDBIQy6SOChEQyRdG02c9Jzkt4naZikqyT9WdILkr6cjWdDNstMfuaZxZLeI2lCNlvP5cCyws4mhDqJBB4awTtIgy+NA24jDXt6LnAIaaz09wPHkMYE783bSIO07TQYgYbQSCKBh0bwGmm2nQ7gR8AE4CTSkKMv2V4MfJ2UxPviUttrByPQEBpJKw8nG5rH0twgY12k6/LtwLO5bZaRatfV5Csi621XDlcaQkuKGnhoBNVGVFtGmoy3rNzMAlAiu3azm5XbD2ZwITSqSOChUd0FfFnS9pJ2Bz7Lxkl5l5DmxAT4BGnWoBDaTiTw0Ki+TJq0eBFp/sTbbc/K1p0DTJP0JHAoMK+QCEMoWIwHHkIITSpq4CGE0KQigYcQQpOKBB5CCE0qEngIITSpSOAhhNCkIoGHEEKTigQeQghNKhJ4CCE0qUjgIYTQpP4/MGPYoK6PYScAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.4,0.41,0.01)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dthetadt_diffs_latlon_mean.T*3600., \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rthblten_diffs_latlon_mean.T*3600., \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rthcuten_diffs_latlon_mean.T*86400., \\\n", + " cmap='PuOr_r', levels=levels, extend='both')\n", + "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s=r'(a) $\\Delta$ d$\\theta$/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s=r'(b) $\\Delta$ d$\\theta$/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s=r'(c) $\\Delta$ d$\\theta$/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "# cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "# cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "# cbar_ax1.tick_params(labelsize=fontsize)\n", + "# #cbar1.add_lines(contour_line1)\n", + "# cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "# ax2pos = ax2.get_position()\n", + "# cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "# cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "# cbar_ax2.tick_params(labelsize=fontsize)\n", + "# cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('$\\degree$C hour$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.4,-.3,-.2,-.1,0,.1,.2,.3,.4])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dthetadt_day1.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 232, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-1,1.1,0.1)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dthetadt_400_latlon_mean.T*3600., \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rthblten_400_latlon_mean.T*3600., \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rthcuten_400_latlon_mean.T*86400., \\\n", + " cmap='PuOr_r', levels=levels, extend='both')\n", + "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s=r'(a) $\\Delta$ d$\\theta$/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s=r'(b) $\\Delta$ d$\\theta$/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s=r'(c) $\\Delta$ d$\\theta$/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "# cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "# cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "# cbar_ax1.tick_params(labelsize=fontsize)\n", + "# #cbar1.add_lines(contour_line1)\n", + "# cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "# ax2pos = ax2.get_position()\n", + "# cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "# cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "# cbar_ax2.tick_params(labelsize=fontsize)\n", + "# cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('$\\degree$C hour$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.5,-.4,-.3,-.2,-.1,0,.1,.2,.3,.4,.5])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dthetadt_background_day1.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 231, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-1,1.1,0.1)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dthetadt_1000_latlon_mean.T*3600., \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_1000_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_1000_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rthblten_1000_latlon_mean.T*3600., \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_1000_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rthcuten_1000_latlon_mean.T*861000., \\\n", + " cmap='PuOr_r', levels=levels, extend='both')\n", + "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_1000_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_1000_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s=r'(a) $\\Delta$ d$\\theta$/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s=r'(b) $\\Delta$ d$\\theta$/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s=r'(c) $\\Delta$ d$\\theta$/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "# cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "# cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "# cbar_ax1.tick_params(labelsize=fontsize)\n", + "# #cbar1.add_lines(contour_line1)\n", + "# cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "# ax2pos = ax2.get_position()\n", + "# cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "# cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "# cbar_ax2.tick_params(labelsize=fontsize)\n", + "# cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('$\\degree$C hour$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.5,-.4,-.3,-.2,-.1,0,.1,.2,.3,.4,.5])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dthetadt_background_phys_day1.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# dmsedt time series" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-19T22:02:50.947617Z", + "start_time": "2018-06-19T22:02:50.780354Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_dry_latlon = ptot_400_midpoints[:,:,dry_latlon_subset_midpoints]\n", + "\n", + "dmsedt_400_dry_latlon = dmsedt_400[:,:,dry_latlon_subset_midpoints]\n", + "dmsedt_1000_dry_latlon = dmsedt_1000[:,:,dry_latlon_subset_midpoints]\n", + "dmsedt_diff_dry_latlon = dmsedt_1000_dry_latlon-dmsedt_400_dry_latlon\n", + "\n", + "dmsedt_400_dry_latlon_areamean = numpy.nanmean(dmsedt_400_dry_latlon, axis=2)\n", + "dmsedt_diff_dry_latlon_areamean = numpy.nanmean(dmsedt_diff_dry_latlon, axis=2)\n", + "ptot_400_dry_latlon_areamean = numpy.nanmean(ptot_400_dry_latlon, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 186, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-26T00:28:20.136590Z", + "start_time": "2018-06-26T00:28:18.930926Z" + } + }, + "outputs": [], + "source": [ + "convergence_400_dry_latlon = convergence_400[:,:,dry_latlon_subset_midpoints]\n", + "convergence_1000_dry_latlon = convergence_1000[:,:,dry_latlon_subset_midpoints]\n", + "\n", + "advection_400_dry_latlon = advection_400[:,:,dry_latlon_subset_midpoints]\n", + "advection_1000_dry_latlon = advection_1000[:,:,dry_latlon_subset_midpoints]\n", + "\n", + "advection_diff_dry_latlon = advection_1000_dry_latlon-advection_400_dry_latlon\n", + "convergence_diff_dry_latlon = convergence_1000_dry_latlon-convergence_400_dry_latlon\n", + "\n", + "advection_400_dry_latlon_areamean = numpy.nanmean(advection_400_dry_latlon, axis=2)\n", + "convergence_400_dry_latlon_areamean = numpy.nanmean(convergence_400_dry_latlon, axis=2)\n", + "advection_diff_dry_latlon_areamean = numpy.nanmean(advection_diff_dry_latlon, axis=2)\n", + "convergence_diff_dry_latlon_areamean = numpy.nanmean(convergence_diff_dry_latlon, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-19T22:35:33.471860Z", + "start_time": "2018-06-19T22:35:33.432388Z" + } + }, + "outputs": [], + "source": [ + "xx_dmsedt, pp_dmsedt = numpy.meshgrid(numpy.arange(241), ptot_400_dry_latlon_areamean[0,:])" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-20T16:56:21.019765Z", + "start_time": "2018-06-20T16:56:19.460712Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 129, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(6.5,2))\n", + "\n", + "ax = fig.add_subplot(111)\n", + "ax.tick_params(labelsize=fontsize)\n", + "contour_plot = ax.pcolormesh(xx_dmsedt, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, vmin=-.05, vmax=.05)\n", + "\n", + "ax.set_ylim(1000,300)\n", + "#ax.set_xlim(0,240)\n", + "ax.set_xlim(0,84)\n", + "\n", + "ax.set_xlabel('hour', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "fig.colorbar(contour_plot)" + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-20T16:58:24.768605Z", + "start_time": "2018-06-20T16:58:23.229485Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 130, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(6.5,2))\n", + "\n", + "ax = fig.add_subplot(111)\n", + "ax.tick_params(labelsize=fontsize)\n", + "contour_plot = ax.pcolormesh(xx_dmsedt, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, vmin=-.25, vmax=.25)\n", + "\n", + "contour_line = ax.contour(xx_dmsedt, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax.set_ylim(1000,300)\n", + "ax.set_xlim(0,84)\n", + "\n", + "ax.set_xlabel('hour', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "fig.colorbar(contour_plot)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 177, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-25T23:44:38.269502Z", + "start_time": "2018-06-25T23:44:17.837898Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "# contour_plot1 = ax1.pcolormesh(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# cmap=cmocean.cm.balance_r, vmin=-.2, vmax=.2)\n", + "\n", + "levels = numpy.arange(-.15,.151,0.0125)\n", + "contour_plot1 = ax1.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1000,300)\n", + "ax1.set_xlim(0,24)\n", + "ax1.set_xticks([i for i in range(0,25,6)])\n", + "ax1.set_yticks([400,600,800,1000])\n", + "#ax1.set_xlabel('hour', fontsize=fontsize)\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "# contour_plot2 = ax2.pcolormesh(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_diff_dry_latlon_areamean.T, \\\n", + "# cmap=cmocean.cm.balance_r, vmin=-.05, vmax=.05)\n", + "\n", + "levels = numpy.arange(-0.05,0.051,0.01)\n", + "\n", + "contour_plot2 = ax2.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "contour_line2 = ax2.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1000,300)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(0,24)\n", + "#ax2.set_xlabel('hour', fontsize=fontsize)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(0,25,6)])\n", + "ax2.set_yticks([400,600,800,1000])\n", + "\n", + "ax2.add_patch(matplotlib.patches.Rectangle((12,700),8,-400, \\\n", + " fill=False, \\\n", + " edgecolor='0.1', lw=2, clip_on=False))\n", + "\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "levels = numpy.arange(-0.015,0.0151,0.0025)\n", + "contour_plot3 = ax3.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(700,300)\n", + "#ax.set_xlim(0,240)\n", + "ax3.set_xlim(12,20)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(12,21,2)])\n", + "ax3.set_yticks([300,400,500,600,700])\n", + "\n", + "ax1.text(s='(a) control dMSE/dt', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dMSE/dt', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ dMSE/dt zoom', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "cbar_ax1.tick_params(labelsize=fontsize)\n", + "cbar1.add_lines(contour_line1)\n", + "cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "cbar_ax2.tick_params(labelsize=fontsize)\n", + "cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax3pos.height])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.01,0,.01])\n", + "\n", + "conpatch = matplotlib.patches.ConnectionPatch(xyA=(12,300), \\\n", + " xyB=(12,700), \\\n", + " coordsA='data', \\\n", + " coordsB='data', \\\n", + " axesA=ax3, \\\n", + " axesB=ax2, \\\n", + " color='0.1')\n", + "ax3.add_artist(conpatch)\n", + "\n", + "conpatch = matplotlib.patches.ConnectionPatch(xyA=(20,300), \\\n", + " xyB=(20,700), \\\n", + " coordsA='data', \\\n", + " coordsB='data', \\\n", + " axesA=ax3, \\\n", + " axesB=ax2, \\\n", + " color='0.1')\n", + "\n", + "ax3.add_artist(conpatch)\n", + "\n", + "fig.savefig('manuscript_fig9_dmsedt_profile_first_1days.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#mean_dmsedt_24h = \n", + "\n", + "ptot_400_dry_latlon_areamean.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 197, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-29T18:15:23.705795Z", + "start_time": "2018-06-29T18:14:51.294321Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "# contour_plot1 = ax1.pcolormesh(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# cmap=cmocean.cm.balance_r, vmin=-.2, vmax=.2)\n", + "\n", + "levels = numpy.arange(-.15,.151,0.0125)\n", + "contour_plot1 = ax1.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1000,300)\n", + "ax1.set_xlim(0,240)\n", + "ax1.set_xticks([i for i in range(0,241,24)])\n", + "ax1.set_yticks([400,600,800,1000])\n", + "#ax1.set_xlabel('hour', fontsize=fontsize)\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "# contour_plot2 = ax2.pcolormesh(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_diff_dry_latlon_areamean.T, \\\n", + "# cmap=cmocean.cm.balance_r, vmin=-.05, vmax=.05)\n", + "\n", + "levels = numpy.arange(-0.05,0.051,0.01)\n", + "\n", + "contour_plot2 = ax2.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "contour_line2 = ax2.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1000,300)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(0,240)\n", + "#ax2.set_xlabel('hour', fontsize=fontsize)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(0,241,24)])\n", + "ax2.set_yticks([400,600,800,1000])\n", + "\n", + "# ax2.add_patch(matplotlib.patches.Rectangle((12,600),8,-300, \\\n", + "# fill=False, \\\n", + "# edgecolor='0.1', lw=2, clip_on=False))\n", + "\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "# contour_plot3 = ax3.pcolormesh(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_diff_dry_latlon_areamean.T, \\\n", + "# cmap=cmocean.cm.balance_r, vmin=-.05, vmax=.05)\n", + "\n", + "levels = numpy.arange(-0.015,0.0151,0.0025)\n", + "\n", + "contour_plot3 = ax3.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "\n", + "contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(700,300)\n", + "#ax.set_xlim(0,240)\n", + "ax3.set_xlim(0,240)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(0,241,24)])\n", + "ax3.set_yticks([300,400,500,600,700])\n", + "\n", + "\n", + "ax1.text(s='(a) control dMSE/dt', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dMSE/dt', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ dMSE/dt zoom', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "cbar_ax1 = fig.add_axes([ax1pos.x1+0.02, ax1pos.y0, 0.02, ax1pos.height])\n", + "cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "cbar_ax1.tick_params(labelsize=fontsize)\n", + "cbar1.add_lines(contour_line1)\n", + "cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax2 = fig.add_axes([ax2pos.x1+0.02, ax2pos.y0, 0.02, ax2pos.height])\n", + "cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "cbar_ax2.tick_params(labelsize=fontsize)\n", + "cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.02, ax3pos.y0, 0.02, ax3pos.height])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.01,0,.01])\n", + "\n", + "# conpatch = matplotlib.patches.ConnectionPatch(xyA=(0,300), \\\n", + "# xyB=(0,600), \\\n", + "# coordsA='data', \\\n", + "# coordsB='data', \\\n", + "# axesA=ax3, \\\n", + "# axesB=ax2, \\\n", + "# color='0.1')\n", + "# ax3.add_artist(conpatch)\n", + "\n", + "# conpatch = matplotlib.patches.ConnectionPatch(xyA=(120,300), \\\n", + "# xyB=(120,600), \\\n", + "# coordsA='data', \\\n", + "# coordsB='data', \\\n", + "# axesA=ax3, \\\n", + "# axesB=ax2, \\\n", + "# color='0.1')\n", + "\n", + "# ax3.add_artist(conpatch)\n", + "\n", + "fig.savefig('dmsedt_profile_first_10days.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 198, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-29T18:21:49.806779Z", + "start_time": "2018-06-29T18:20:54.771128Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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dVPIhHA7D6/VybRuPx+G1K1/TZNLYQAUATj31VLz88ksYHh42tJ8eVqsVySSfkAmHQyj3KvfZsViMqz9XY2RkBA6FKXKjJFNJw2JRaZDBkL/oZCyFvRXUx46BgQDKy5WFq81m26eEKxH5Xe6a1Eg8iIrqJbA7SrO2cTjLUVG9BNFIJzwlE1i68qaJDgekcNXD6y1BOBzS3U7t4R8eHoaDc4R9ySWXYvPmT4v2wO3evRtNebzEE4kEGGOa7dkxMJI1zS7i8Xhw000/xn333YcRlTaqWZW11g8NhVBWpm4NF2EMsFiUr1MymeK2YKVSyUxBVWDC4TC3xQsQXoZK58OYslVGvD7ilGAikYBbx1cS4J9OV4MxBivH94jE4zG4XZIXrYplR+1+A4DOzk40GLBeG8VtJdXBkJxAIAC/goXIYrEoCnK1dm3evBlTp04zdqIGMGJBCwQG4Fd59nIRRFOmTMGcOXPw6PMvGd5XC4fDjpERvn41GAyirDRbWABALB7T9dPXQngm8xd5DrsDI5x+2eL3hkLZlvRUKmXYcitH6bi54nK5EIvFuLbt6NiDOpWZNiLlZ2ocucHu8KOsYg4sFvXBnMVih79iASwWB7C3eqeJBqZwVaCkpCRrulwJNauXESsTEcHtdiMSUX8R58PAwEBWUICIkruAXHSPGLSYKbFgwQLU19fjjbf+mddxpAhWbf2XiZY7QCqV5H6hVFRUoF/DpaMQGHnnR6MRlLpyF9IOhx0JAy/BsSIajcItsW4ZtQ4xxtDX14fq6uJZk21WKxIJvt+ur68PVZUVWcuJMt0NtIQ4AKxZ8xGWLl1i7EQN4HA4uS2evb29WUGBInIrZ1swrOqXLOWKK67EAw88YEiYyZEPshwOB4aH4ypbZzIwEECFiiUvFlN2jeBpFyBe6/wFlcfjRjQa5d4+HhfaLncVkPeJvO2QomX5NEppaRkGB9V9h0V6enoQDoc1faHl8N5/RcLh9tbB7izT/Thcfrg8tQBQPOvIZ4gDVrhquQt4vd5RH1ctLBZCUmG6L5FIoCfE38F4PB6EiyBcR0ZGEIlE4PMJlgStwALpPnbJtJZUhEsDs9oDDO2BzM5Yq4M4//wLcP+jjxVsRCxM3/EI14SGcGXcrgKCcO0zdI5GMPq7RKNRRX9bxhi6B/U7apvNjkgy92sh9wsvFMJ13fuiFSyB/N1UMBiEy+XSDAY0ilwQ2e127hkSQbhmR0ALPsr8v/+aNWtw6EELubc3isNhNyRca1SFq/J0rZ54mD59OiZOnIAPPvqI6xx4cBoQ44IVWUW4xuNZfY3YHmm71PpXi4WQYvxuIWq4XS5DwjUYDKKsrCxr4JdIqPeJvAQCA6gu8+V1DJGysjIEg4O6261duxaLFh3EbS2WXptxFK8mReCAFa5aVJeWIBDQF3kWiwVMUbgmYTVgpfR6vQiF8xeu8in1gYDQcRmZFpJbXBOJRIaQzZVDDz0UAPDeqlV5HyuRSCCZTHK5YyQSSVWfu1QqiYFI5hSVWrBZeXkFBgYGjJ8sJ0YDJiKRiHrACMdhBPFl3LplVLAaFeSxWGYgTCrFQJQpCkTrpJKVsqenh8v3OR94felE66+ScDXi4xoMBtHevhvz5swxfK5KKLl/CNZJPpHX09OjaXHldaOQc8wxX8Drb7+b075KOB0OxON8bRoYCKgG/cRiMdVgNB6E90QBLK5uj2HhWqrg/iBYXPObRRMs1MbjHpQoLS3NiClR4+OPP8bixYsL8p0m+zcHhHBlI8ac/ivKyzEwoD8tbLVaVS2uRjoGj8eLcKTwI8L+gQFUVGRPU2oht7iKrgJq1gS51VUNIsIFF1yAP9x3f95BGNG0tZVH6CWT6lHO0ihdaYovJYrtKiAIPH7hqm5xVd9HKvTsdlte07JGMCLI5ZZ0BmOR1D09PUUPOhN+O33hOjQ0BIfDoWj9tVr5A7zWrl2LBQvmw56ny44WvK4CqVQK/f39iu4PgCDq9SL51fqSY445Gu+8807B/P2NuAoEg1quAnyzO2oQFcbiatRVYHBwUDEOIKHRJ8pRu1YDA/2qQt8opaWlCAb1DUVr136MQxYWL0C2GDhKJsBdNp3r4/DUj/fp7jccEMLVKIJw1beuEZHiSFprelqK2Cl4vV6EC2BxlTOgEhiihZLFNV8fV5ETTjgRdXV1uON//5jXcYy8SLR8XBlLgSyWrGkkuYBt6RMs10NDQ0WMWjXmyxmJKAtXgE8o2u38gStjRTKZRCKRyEiHxVIpQ79Lb28Pqqv106TlA6/Ftbe3F5UK1lYg3XdwiplNmzZi4cLiuQkA/K4CgUAAXq9XdbbDZrNyp6CS09AwATU1tVjzybqc9pfjcvKL8cHBQUXrJACERpJwOp2qOU/1sFgsSCUL4ypgJBaimBbXQCCACn+2xTWXYM6yMn2LazAYQGdnJ2bP5CukY/LZZp8QrkQ0j4jiRFSX/vsHRNSb/twq2a6CiF4hojARbSSi5cU4H7+/DIFAQHc7tReY4CogiCW9oAtAsOAMF8H6FcohhY5cuPLkOjVidb355p/g3Xffw9bt2w2dl5RYLNvnTI2UhvBJpVKwaIgi6bWzWq2oqanB1h07jJ0sN8bSPkWjkbwine12B+JxvkjefOFtVzQahdPpzLheZDAdlujXZxQjLhBCdLe+INqzZ7dqbl4hj6tyu+R9RiQShZ8jL3Q+uN0eroDUTz75BFOnZlehE9HKpckj+JYtW4a16wokXF1OLgtlb28vSkvLVC3a+boKAARmIFepGg6HA4wx7pkSNTGeSqZ0g1L1rpVgzVUW+looCdsqXwkCAW1D0dq1n2D+/Pk6RpR9KqOASREZd+FKRFYA9yEdTUdExwK4BsARAJYCOI+ITktv/nsA3QAmAPg5gKeIqOBReC6Xi2uk7na7EY1ld4yJhDDdzjsy7+7uzioJWQiqKo1Pb0cimfkcjSZK16OkpASzZ89G2+7dOR8jppEA3QiplGBxVUK0ukqv4VlnfRUrHn087+9VQkjdwz940UqfxRjTvfd8vhKEQoV3T5G/mIQoc96cp7GsgZbdYAogl8uNmMIzWUg8Hg+X5WvLlq2YNWuW4rpkMoUujiA6wJirhfT3j+3ZpSrI5ddpcn0tdus8k4wxPPLIwzjvzDNUjyVcb8HimktATG9vD1cFJR6EoB/9KejW1lZM0ig5G1cIzjJCMpmALU8LJyDcB7xtAtSFq3gsnmBdNeLxeMbMSD7U1dSgu7tbc5u1a/n8WwtXFMFkX2bchSuA7wCQRux8HcA9jLFPGWMtAO4GcA4ROQGcBeDHjLEAY+xvAHoAfKHQJ8Tr1K+WDWBkZCRjKmbHwMjoR4mOjg401Cv7txiZepFvW1tdg64u7Q5BjjwROW/1GS3/UDl1dbXo6OwydF5SlJJq59IJC4E//B3d6aefjtWrP8Su1lbD36WH0+nk9scDhOCsEk92wnil5ihdm5ISH0KhIUPnmAtSIaOHEHCWKVxdTsdoWh8l5NbJkpISDA3pt0vpueK1uno9Hi7Xnq1bt2D+dOXcq6lUEhbOyG6LhRSDQAtJ08SJaG/X7mvWrl2LQCCAY486UnUbmy0/32mheAR/IQ4tysuEmTM9i31ra6tmrms91yQ9gZ6Lu5Vav+/3+7lmAwFgcDCIyhK+ohLNgcjoh4eRkRHuXOV61NXWorOzU3ObtWvX4uAF+fm3jkdmAat7Iqy+6Vwfi7t4uac/a4yrcCWimQAuAnCzZPFCAB9L/t4IYDqAmQBCjLF2hXUFxcnp1O92exCJKFlcE7CpVJaRJ+sfGhpCMplUTX6dD9XVVRgY6FedulOqBpYlXK22glpcAaC2tg7tPb057x8fHobDwWdx1Z5qZoole9Xwer0444wz8fDTz3Lvw4vD4dQUaHKE66TiBsIxYyZUhyu+cLUZKMMYjWaXSjaSXxQYG0tyiZdvWn3r1q2YNUPZJ89IEngii2IQKC88grxx4gS0tWkL10ceeRjnnXeepuuQzcafKkwOYwwtLfxVz5TaJb1OTqcTdrtd91q1tbViqka9emGgLAjXXMRPoTKzAMaE69DQUE7vFR7xOjIyknOwoFyU19VqW1wjkQiam5uxYG5hsmqY7P+Mm3AlITnj/QCuZYxJe4NSAFLz2VB6mXy5dJ3S8b9FRKuJaLU85ZEevKlhvF51i6vNxtdRdXR0oL6+vihTHHabDX6/H319Qv5RJaEqRygtKRWu/PW+RfSsn3V1dbojbC2Eqbv8havgKmDsdz/ttNPw+uuvI2IgupcHp9PJnbqHMaZaAlTaXq1MCT7f2FhceaLMRZRSfDmd/CmNAKHqHU8O5nzwePSF69DQEAKBAJpUBFEyySdcW/qCQs7XHAOetJAKiPraWgQCAdUKRs3NO7Bp0yac+cUTNI8pXO/chGtfXx8cDntBB/FlZfrxCq2trZjcqG7llecWFjFineSN4tejrMyPYJBPuAaDgygtVc61mm8+7ZGREdgLZHH1l5UhHo+rPlObNm3CjBkzFN3DpPewtE16A4x83CRMxp/xtLheBWAHY0xexD4AQPr28gAYUFguXZcFY+xextgyxtiyco8x/yTexNVutztLwKRSKa6AJpHOzk7U1RlzE9DyXZNTW1uL7m7+aflwOAy/5PeyqLgKtPUJn1yoq9OfGtIibqCkrrZwNZbcHhB+z0WLDsJrb75laD89nDpT4lJisRjsdruixUNtACQXsD6fj2tKPV+M1IsXLK6ZYpx39gMQXkZC1bviCtcSrxcRnfR1W7duxbRp0zQzWlhkGS3UBhk2mw2JIghXKVarFfX19ap+rk899TTOOOOMrNRe8j4qn3rxwpT9pJz2VaO8vJxLuE7ScE+QWlxFeEUrUNjMLLyBwwAwNKTi45qnkSSZTAppBvMsYrD3dAh1dXXo6lJ+T23YsB4LFizgPFZBTmmfhYhOJKJt6QD1J4lItQoEEb1LRIeM5fmNFeMpXI8GcC4RxYhIHObvgjD1L3VmmQvgk/S6ciKqUFhXUBycIsLj8SIYzdxOnBbSs6CKLyzR4losqqtrVDsEJcLhMLwS8WAk3yQvdXX1eVtcpaNvrdEzkXpuU0E8GO/pzjjjDDz+7HOG99PCa7dxC1e5O4ccrQhm8YUrljUu9LWVYzWQHknIlJA5NrXZBFcVXosjj4+rlt84z4BQSF+nL1xnzlQOzAIEi6vWoKk5EBntIxwOByI5JvUX4XIXaGxU9HONRqP4xz/ewNdOPkn3GPkI15aWFk1f01woK/NrRqwnEgl0dnaicYK6q4BWVgG5gFXqiworXP1cxXGAdHCWT7u6VS6uD6J/az6zhFnxGBoGlvXr12PJfuomECprQKByKtcn7NMOSiSicgB/A/B9ABMhJP6+TWG7E4noHgBFybq0LzBuwpUxdiZjzMkYczHGxOHsZADnAriSiCYQ0SwA1wF4LO1O8AKAW4jITUSXAPAB+KDQ52azWsEY0+2APR53VnTxsCyBvx6dnZ1orMkto4Cejxcg+Ln29mabRtXcBuS+k1YLv/CQvmy1cDgcXD6CasSHh2G3Z1tclQUsQc3pU0hHlNn58qT2+vznP49AIJBXSi85Qh5NfuHqUQjMEiAuH9fdwTCcTmfBXR7k2KxW7mCdcDhbuBKRoapOoiAvJi6nE4lEQrN/2Lp1C+ZNV08bJQRn7S1+IaJkdbXb7YbcJYDcSvJOnDgRrQqBh6+//joWLlyIOo1of7HfyUe4bty4AdOb+OvQ81Be7sfAgLqFcs+ePaiqqtKcwYnHM10FlKytWv2e4A9aGB/X6lKfbuookaGhIVXhKp2FUrMeq7VJnPHRw8g9WFtbi46ObGMGYwwbNmzAwvnzdI+hNrMmbd9+Xvr1VABrGGPPMcYGANwF4ByF7ZYDsAEo7tTTOLIvZBXIgDH2GoCHAKwH8C6APzDG/p1efS2A2QD6AVwN4CzGWMHn0IiIazTpdnuyUu/E48OGUjWNjBjb3ugLqbG2Gp2dHaN/6/m5Dg9nRova7dovolzcBe6++8847rjjjO+YxmYgUl3vOkrXi6K1PcDQHmCqU7dWqxWVlZWIqvgD5oKXM8USIKbCUhauWnXR5Sm+HAZKYuYKb+ooAOjv71ctqhGtAAAgAElEQVRM2O/3+zGo49cntkmeh1hOPtkERIgIFRUVo77jSmza9Cnma5RotVqt3FbkUCiEcm9x87gCwLzp07Bly9aMZZFIBCtWrMBlF3yd6xjCICP7uRHFg5JwSCQS+P3vf4c1a9bgtJO/lMOZq1NVVY3e3h7V9cFgEOXl2tUFlVwFjNDZ2Ym6WuNFMZTu1UoDFfzC4TB8CinztGaheFi79mPMnTs39wMo0NDQgD179mQt7+7uBpEFdTXZv5/890mlUlmFFbTKQ++HyAPXNwCoJaKMi8wYu5kxdimAHJ359n32GeHKGCPGWGf6/7cxxioYYzWMsd9ItulijJ3AGHMzxhYzxtYW63ySyaRu8ITb7c7KKjCS4A/MAoSI4VSejvJaTKhvyPJb0xKvyWQiw3dSTG+TrzO/yHvvvYtVq1bhxmu/nfMxhECmvaJRbA9P8FmuyK25weAgSn2FCyLxlfi4g4pCoZBqDleLxcpdF91ut2MkUdyyr6UGfGm7u7swoSpbuFZWVmFA9rKWDiqkLyU9N4pCUVOjPrUZCoXQ1dWJ6VOnqO5vt9uRkFQuk7ZHPmCSDybV0EudpzdDs2DuHGzatDFj/V//+lcsXnwQFs3PTkWk9H1KvtpaoiEUCuGqq67Ezp278Pj996Gi3Fg1Jr1Bx8TqSk1XqUgkkpXJQo5S+j1eYrEYgsGgovDKhapK7QGTyPDwMGKxGEoUngVhsJ7dR0hTNmpds/feew/Llx/Bdb68g8Ip9XXYvbs9a/m2bdswQyUzhxyh1Hph/G7HkWViUHn68y3JuowAdcZYHEACKgHqn2X2GeG6LyGKND3h6vF4EI1mPuCJkRHYVVJhKVHsHI0TGuoVR7JqyAPLLBaLEClcAKtrIBDAnXfeidt/fJOiJYAXI4FMQH4RtGod+NCQvv+YEUpKvBga4hOuWuLMYuEvJZrPtC4vpQbSbnV3dyu+4CsqyhFUCEhRsoiPnXBVT+GzadMmzJw5U9Ov0W53IME5aEilkrByps7Kh8lNTbBarXjxxRcBAOvWrcNLL72IH159JfcxvDZrhsuL9PlRepbee+89OJ1O3P2ru3SzCeTi/lBXq53LOhqN6FYXVBOuPCKvra0NDQ0NBRNUVRWVXMK1s7MTNTU1it+rFLCqNXCS88EHH+ALh3yO84z5mDgh28ACANu38wvXZDKZ8cztC1bWSDkQqiGuT6yMAGC1GFSe/twrOVxGgHq6+JINKgHqn2VM4aoAj7UVULa4GvVxtVgsisIql5rPSkxsaMCePR3c4k1p1CrUtc/fMvfYY4/hiCOOwLLFB+V1HJczO+epmrW1EGnG5NObqVQKoVBINdWMHkrX1mcgGl6rahYRf6UzwZpeeOGamfPUi3g8xiWQu7q6UFtTnbXc5XKr+v/KX7JawrVQzxQgCFc1S95rr72GpUuXae5vt/Mn6jeSpSQfLBYL/nDXnfjTn/6IlStX4pZbfoqbv/9dVFfx++ALhTT43U/Wrv0YRx3yee6ctjxIr3NtdY1mVhWlohdyhoeH0RUSZnhEMSTed3oir62tDY0aqbaMUslpce3o6FAtN0wGy0tL6erqwvDwMJom5u+LLL1OjRMmKArXbdu2Ye7UyVzHSyTG5jkZRzYjM3B9DoBtjLHiBirsgxwQwpUUAnm0YIxxdaRKFtcRDeEq+k5mnFsRXAWkHUKpzwer1cJdJlA+agUE4Vpfqj2dphfUFAqF8Nxzz+Kb552reb48OBWE61gSiUSE5OYFihQGBOHKO6Xe29sLvz97ShUQ8u6mDLgKFNviarFY4PV6udwguru7UVuTHQDkcDgwwimGBOGauzUf4LPsTaiuULS4rly5EmvWfIRvnnu25v4Oh4P7txd897T7I3mpVzX02jZl8iTcfvNN+N73voslS5bg2KOO4jpHEd7ZENH15uOP12LpQfkNZLXQT24fVS/kkSYej8PhdOYU2CMI18JlSvCVlCCRSKjm2xXp7OxAfX2D4jrBxzW3d87GjRsxf/58XYOAUeu4v6wMyWQq6z21fft2zJrBV2NIz1VgX7DA5slzAI4goiPSGQbuAPDYOJ/TuHBACFejJDmr2rjdbkRlUdkjI/pVUqSj9HxdBXg6CDXHdyWU8vMJFtf8BM4zzzyNQw89FBMblDtTIyhZXLUolH+uyODgIHwFdBMAhBcSr49rW1sbpk1UeylZkErxBf3YbDZDPq7ye4335SRU6RrUPnYshkgkgnJ/tuXc6XRkWCe1rFzhcMiQq0Au088AUFdTmyWIhoaGcOedd+BnN/xIVwzZbHaMjKiLcWkbhWIFxbMkyQeOyw85BPf/8X9x03XXGD6WUAGOb5AxMDCA3t4ezFQpi1sIxOT28n5aJBIJZ2WykJJMJrMqXxkpb93a2qr6rPIgvzY8gYGATppFDdGpZ4DYuHED5s1TjvDXyjuuBxFh4sRMq2ssFkNHRwemTOLL7atkdBlvavwpTKxOcn0qS7V1AGOsD8A3IASvtwHoBnAnEV1ARIVLcQOAiF4notZ0Lth30p93ieidQn5PrpjCVQHecoxKEdMjCWWLq1qHUOzgLACoVwjQUkNpWtJutxua/pMTj8fx+OOP41IFa2suGLG45uIqIBZXULtmQ0NDyom9kft0dIkB4dra2opJjcpTdVarsuuJUqYEPYtroabWeYod9PT0oLq6WvG5czqd8NqE66hnNRkrH9famuosV4Hf/vY3WL58OT6/bKnu/nrZOqSkUmM/Bbpk0SJ4NASd2r3hdCoXjFASe598shYLFiwoatuICJMnT8HWrVsV10ciUZS51TMGDGvkLJX2D2qpANva1J/VXKms1Pdz7ejowKS6bLcbALCQeh8h/VeJDRs2YOnc2QbOlp8FCxbinXf26qLm5mY0NTVxu96pWVylQWf7O4yxFxljUxhjJYyxixhjccbYQ4yxLLM0Y2wyY2xVjl91EoBBAMcxxo5Mf45gjB2ZVwMKxAErXF31k1XX8QpXNYurkVGfxULcaXFytQ5NmDCB2+JaDB/Xp59+CrNnz8bMaYWxrBh1FVC3uOY2YBgcDMJXwIwCgGBFTqVSXO1qa2tDk4rfnJKPq9qLyGotjo+rnNLSUgwNaVtcu7u7UaMSeS1Y8dR/F+lLSZ6HuJBIxVpdTQ3a2tpG07K9/fa/sW7dOvzgysu5jmW3O5CQPVPi4EK8XqJITya1g7OMDjBy7Ud4cOpcK2Cvz/jatWtxUAHcBPTas3TpEqxZ85HiukgkArdLXbiqBWZJRZ6WKGptVX9Wc6WyshK9vb2a2+zZ04EGNR9Xgq4f/I6BkdH7T3TrGB4expYtWzBPI81bPlz4tTPx7LPPjLpBvPvuu1iyRH8QKCJYXD/TPq5jBhMifL+Wzlywz3HAClcthEop+nn7lISrxUJcwkHsFKxWG5JFrl7UUFWhmctQijCFmSlmHA5hqraxzLgla926dXjooYdxQx7pr+Q4DSSk17Ns5RK7tWtXCxoLbEUhIni9Xq6cp4ODQcW0QYBYYlV7ICTee0asfvkgzExoxw+EQkMoKVF2v3BZiTtvr1CyONtSWMjALACoq61FU1MT3nzzTQDAM888g2sv+6ZuhLpIaakPIU6f5mQylbNVMtaxK6f9ciHa1QaHgluRWuqyzZs3Y/HsmUU/r8n1dap+rhUVFdjTp54XNZZHDte+vj4kkwnUGAhu46G6ugY9Pdr9eW9vD2qqVSyuBqohtgXDo4Gvb7/9NubOnZtXRhgtJjU2oq6uDtu2Cdbx999/DycdzZd2CwASiRH0RTLfC2qDCrFNDz/8EHffcqDBGNs03ueghilcFRgaCsHn0384xdKuUmuk0ahau92GaLK4wrVCp3qMFKVylkqVixqz021m0dvbixtvvBE/v+mGgkShjp6P3cFtAXa5sgcX+bJ582YsmMmXosUISsF+clKpFFKplGqdcJvNxm3Bt9vtGNbwsywUPBby/v4B+BX8WwGx4IT2MyIKonA4rJi7stAQEa6+5GL85S/3IxgMYP369Vh+CH9Z8JISH3dhBq2gE80cpx271NcVyeoqpFhTfjalIoIxhu3bt2PmdO3Am0IMONwul+r9N3fuXGzapP5+jkYzq2YZQSj7OzPvzCby32BCVYVmpgQgXcxDpbCCzWrLSaw999yzOPsrpxreD1C/3+RtmzVrFrZs2YpgMIC2tnYsMFDoYGRkxNBsZywWw7333lvQjBZyakqFdyXPp6qwYROfaQ5I4arlJgAAg6Eh7uAbt9udUTZTzxooz3mqZOEsBNIOobK8HAMDfNVWvF4vQpFM4Wq3740UnupXtyjJR7d/+MMfcMopJ+OIww7lOk/ebYTyqHyCy+Vy6UbgaqE0Yt+yZTPmzCq8pUgpvZocMWuF2svQZrNyW1GNVLXKB55r0NnZgbo65WASi8Wi+qKVz2ZEo1G4ckwWb5RDPrcMpaWluPXWW7FkyVJuaysAeL0eOFhSdxajLRg2FHSSqyA1IhC1tuVN89Xb3Q2n06k6cyAnH6HtdDpV7785c+Zg69atqs9MLBZTDd7Sy1+9ZctmzJpVeH/Qutpandy0UTDGVAsrGOkjRAKBADZv3owvHMlvAc2F+TOmY8uWzfjoozVYtGiRpn+ruzbTBUOa0Ycng0AgEEBZmb8gKRM/6xDRT8b7HKQckMJVj1CIP6WOIDb2PiRCGU3l0b28o2sLhkcrUxWTivJyDAzw5SgWLK6ZD708qpuXnTubccLyww3vp4fNZhu1POrhSltbeKfG9IjH42htbS2Yv64UHourYFVQ78ytaWsKjyDy+UoxyDldrYSrYTLXdk6nusVLpLOzE021ylObVgtfpoS2YBipFINFJ3VUoRCsrhfh/fffxwlHGXuhl7mciET40islkwlFC3uh3R8KAW+KtZadO3QTyxeqfS6XusXf5/OhsrISzS0tiutj8RhcEh9YI0E+W7ZswfwZU42dLAe1GjmEAcHaWlFRoT64zcHiun37dkybNo2rgls+zJ45A1u2bMXq1auxbJl2LmQ5iUQCNrtdM22ZVNAGg0GUlR1wRadyJfca7UXAFK7IfgEPhfhcBQDA7fYYsrjKsdvtSCaL62dY7vejv59fuIbC2RZXtQTwWnR0dKC+LjsvZ74QEXemA4vFIgwm8siKIGX79u1oamrKuQSkFh6PJ2vQIGdkZAQOh7pwtdlsKHXyReH6fCXc1bryweVSt3iJdHR0YEK9cjCJ1G9XavFX8h1nLAUrZ+qoQkyXf37ZMlx++eWGLVFKLjlqJJNJWPMIOhlLP1ebde9AXMvq1blnD5qa+NIc5YJU9Lo0LK4AMG/ePGz89FPl40QzhSugnzJKZOvWrZgzs/AzM3U11ejpUbe4isJVDatN3Q9ezYrc3LwD0zgH6/k8VzOnT8euXTvxwQersHyJscA9XlcBUdgGg0H4/f6cztNkfDnghKuemwAADGkEisjxeDJdBfQioIHMjs9IBZ1c8fv9GBwMclkdvV4vgtHMTl7wcTV2juFwGMPDwygvUsdgJNOBy+UqmJ9rsab/AOVgPznDw8Oa02dGpgGTVgf6dYRyIShx2HWfCWGQoyxcLRw+riJD0XiWpamYlkkiwpUXfN1wwIpX4qah5X4D7F812HkD/oaH43BrpKEqJHquKnPmzMUnm5XTZcVi2cJViprQC4VC6Ovrw6QCZxQAgJrqavT29qqKz/7+fpRruGBYrdl9hJ4Y3759B2ZPUR9oFOoZc7tcaGhowODgIFfhAam7gHw2SrSOi22TW8sFVwFlv/pCUV1CmOjn+1QW3zU/H/Ypf4oDTrjywBucBWT7JQp5DI1ZXIstXO02G7xer24SeEDIJyq3BMnbNK1c6By0ArQ6OztRV1ev6T+UT2enFDCmhtvtRjQPP1ep5Wj79u2YN73w038An6uAPBm6HKtVWzhIX1BeA9W68kHLxxAQ2tTf368aBW3V8HGVw1Nlal/A6/FoWlyl10nJx7UQQqEYAVpqrgJyYTQyMgKPhhW5kIMNvRRdWgFa0biycJUKViXRt3XrVkyfPr0oAw6Hw4GSEh/6+5XjFgYGBjQtrrb0DIaRwizNzTswfWrxCkVImTVrFpYsWWo4aGpkJAGbXdniqnSNTIurIV4Z7xOQsu/38OPAQCSmWgtejseT6SpgsxnzHxqrXJoVFRWqHZ0UpfKcgquAsan2jo49qFeZ+i0ENht/uVKXy51XgJaUgYEBVFUqvxTyfdnyugpoBiwYSB0lCNfiuwq4XU7E4+q/f3d3FyorK1VL6FqtVk0fV+lLKZVKgWjf79a8Xv7AOKVqdkpIhWix3AP07nEhq8De51LNJ3RkeAQOlfu40BZyPYvrjBkz0NzcrCjkYrG4psVVRN7OLVs2Y+bMWcZPlpMJExrQ1qb8O/X396FcJaMAIMwSaKXNk1uRGWPYsaMZ06dOUdy+0Nfra18+GRd89UzD+yUSxrIKBIMBlJYW1+L6WYExdud4n4OUfb+HHwei0Qjcbr4IYbfbnRHgYrVYFAWV2pSSYKHIz+LKYznx+/3cwlVeL9pms+UgXDtRpzL1q4YRC5CxzAJOhELZ1i3GGKp93tFApol+/dmQYDCIMpWqWUZQ6uzlgX5KiG1Ws5YoTQOKyO9Br7dEtzCAFN5gLDmCxVXd4tXZ2QWXy6XadiWLq9rUJmOsqOltCoWexVVKMpnMaNO+GJQlYrVauWaQhkeGYS9yoI+Iy+nQvP/cbjccDgd27NyZtW5H+27VKnntPeqDiY0bN2H+jOJZKOfNm4/169crrhsYCMCl8whYrVYkOQf+HR0dcLtd8Bd5Wl1k2eLFWLbYmH8rYwzx+LBm4KqcQCCAqtLi5KQVmeCzYVq5netTV7Jvlavdl9n3e/gCouffKvrL9PcPZPkItfQFRyuISFm2bBmee/W1gp1jsfD5ShEO61vXFi5ciB07dmDVhx8CEKZxP/hgFebK8unpibxAYAAVFeq+BPm+fC0WC4TiHvocfvhy3PfoY1liL5EwVuUMEPOEFqezK3O7dF0FxBKIDzz1rOJ6wTWDbwpQy1VA6frkOrWcSjFYLOr3y6xZszBjxkycfck30atQyjISjcLlUi8/KoWxFCz7QXqbstLSLNcdtWdKz8o+lshTEMnXNe/chUYOv854LKZYUrYYopwn08GVV16Ji676Nh58+tlRt6KHnnkeb775Jk4//QxD39ff348PPliFo5cvz/mc5ch/l8OWHIT//veDrO3C4TCqqqrwzEuv4Fd3/x9iCi4SoXAYVqsVDs4A07Vr12LBgoVc5zVebPj0U5SUeOExkMO5vb0dExsainhWnz2I6ItE5CCiWiL6JRF9n4jGxlldwgElXJVQsiLJy09KBatcwJ588ino7u7GqtWrAey1+EyqLMtISST3BxWnllKp5JhYiDwet+40NCBYZm+99Wf44S23Yev27Xj7/fdRVVU1Klx5q2eFQiFUeJXFhmbSdE5xZMA9CxdeeCHa29vx/Fv/ylg+PDxiOL1LNBpVzY+YLx6OPK4ulwu//OWv8Je/3I+Ozs6s9Yyx0alyedCPeA+K995Y+bjG49rTrV6vF7fffjtOPPGLuOSa69AvS93WOxTKCqJQE3mMMdB+YHH1+/0YGBgYHUyJfuNKJBIJ2KzaAyy956aQrgPu2sYsASv+/cG69Vi8eDEA4f5Ta1c0EkaJrDSvWr+Qry+unqsJAJx55llYsWIFVq5ciWNOORX/863L8dhjj+Luu+9G0q0cqDuxeu8xxXZOqizDJ598gvnzF6CyQj1AKl/B9/mlS7Bp06Ysq/0jjzyC559/Dg8//DD27NmDr/zP1/HGP/+ZMWhv370HEyZMyIg/kD5P0ndVY5kXq1d/iMOWLuY6L61rVayiFzt3teDaH92Ia6651lBO1ubmZkyfouz+YJINEd0J4HcAbADuATADwBfS/x9TxrWHJ6KpRPRvIgoT0SYiOjq9/AdE1Jv+3CrZvoKIXklvv5GIuIe0PNkERLq7u1Bbq1w3XUQUsDabDd/85rfwv/euAGMMKYNTld2DYVg40/fkA0/gj8jSpUvxve99F1d89/u454GHcPbZ5wDYWyZPKojUArSGhkIoKckWuYV7OTHwBjo6HA785Cc/xW9/+9uM6cDh4TicTkG46kV2i0QiUUOWIiPtEgoC6E8fT5gwAV/96lfxiz/+OWsdS6U0rZtSxkq46kVmi1xyySU4+uhjcOm112dYXoUgir3CVUvksRTLKOO7r1iE5LicTtjtdtVnUiokpDMD+1J7RAErFbFr1qzBQQfpi5xoJAKvxDpWzHbxBvc1NU3C7373e7z00su4+OJLcN99K9DQMMHw923cuAHz5s3L5VS58Xg8mD9/AVav/nB0WV9fH5588gkMDg6ivLwcd9xxJ26++Se454GHcPn3foCOzk509/Tizw88iKlT+QJMGWP48MMP8XmFnKrjeS/G43Fs3bEDb739Nr553fW48sorMXPJwdz7h0IhBINBTGhQLnpiosg3ABwJ4eV7bPrvcwB8eaxPZLxNE08C+CeAGgC/APAoER0L4BoARwBYCuA8Ijotvf3vAXQDmADg5wCeIqKCOkolk0n09vaiuloQrkruAVJa+oI4/vjjEY1G8exLL+O5l17KEq5a0+opA0IjH9xu/XrxUo477nhcfPHFCIcjOOaYY7LWS8VDY2V2G0OhIfg4U4rlgmBZ5P/d5syZg29/+9v49g9vQCDtwyukljJqcY0oClcljIpxD0c6LJHzz78An3766ahLh0hKYnEFtEWe4OM6ZCi6OBeGhhPceW8vu+wyHHvssTj/8ivR1r4ba9evx8cfr9V0O5HCwGDZR4KzmnftwqXXfRcvv/GGot+n3++Hj/TdXXJxaRkPItEoduzYgfnz52etk/cPqZFheA1UGssHq9VmqACJ1+vF4YcfjqqqqtFlWknt5WzcuBFL5hQvMEvksMMOxfvvrxz9+4EH/oovfelLiEQio0J96dKlePDBh7Bo0SKcffGlOPOCb2Dy5Mm44YYbFY8pN0R07tkNxoDJTZkW9kKKViPHYozh2X/8Eyd99Wx87+af4skXXsZVV12Nk08+hfsYjWVe7Ny5E5MmTS76bGdDiRNT/R6uT613bCr+5YEDQATAlwB8zBgbBOAGr29aARm33pCIlgCoAnAbE96cDxLRdgCXAriHMfZperu7AZxDRK8COAvADMZYAMDfiOhGCKbqnJxMldwE+gcGUFpaasinzGKx4Morr8Ltt/8cBx98MG6//Q7ufQXhmmlxLcZI1uPRD/yRc8YZZ+K0005Xfbgn+ikjSEYqkoaGQoZzWxrBqHAFBLeO7dt34Irv/RDnnXk6hoaGMlwFppXb0R4YRmOlcjAdYwzRaBTuIr1wvRxZBURcLheuv/47uOO3v8fTDz0wGpEvRNVn3k/y6yRis9vTVr+ooXKlRonHY9xpZ4gIF198CcrLK3DmBd9AVVUVzjnnHBxxxBHYzSEeBIvrvuHj+vw//gm73YanX3oFv7/nXjz8f3ejVpLyy+/3IxAIoLG+UTNZfyKRgF0jdZR8gDSWBQekrNuwATNmzBSs62HtvL3hcHjU4lpsy53Fyp9OTctQIb1G0j5CKsqTySQ2b96MBXPn5HayBjjm8wfj0bTvfmtrK1577TU8/9ijeO211xAKDaGsTHjmbDYbLrroYhx//AmwWCxoEP06o9pGGQDY096O6dOn7zPP1PU3/xTt7e24665fYMGCBdz7yQdOO3c2Y6pKlgQTVe4D8CEEQ+N1RDQfwP0Anh/rE+EWrkQ0D4B0POYE8DBjLNecR0sBbIMgWL8EYCeAKwEsBPCUZLuNAM4FMBNAiDHWLlunn6XYAJ0y/1YeWvqCWL58OV7NIUgrlUyOSd7JMpcT7T06xbUVyHVEGg5n58IttA9bLp3p1Vdfjeeffw7/ePd9AIJ4GJJoOlHkKblAxONxWK3WrLRNhXrxejxubncOADjyyCPx9NNP4ZFnX8BFXxUCSEbIasiCL5Z9LaZw5U0pJOX000/H4YcfjsrKSt1cmNKXEgMDjcEMBg/vvvsOfvCDH2LRokVYsWIFfvSzn2PF734z2h6/vxyBwAB89drBTIlEdh7XfYFQOIydLS1oaW3D6g0b8Z///Aennnoq177hcBglnrHJuG7TyLQhRW92jYfm5mZUVVWpZiIoJJObGmG32/Dzn/8c77zzNq666mpUVpSjtLQMweDgqHAVmThxoubx5APcqX4PdjWHC9qPx/bsyjk7SXBwEKtWfYA33ngjw7AkvW5KlnGxf5AaVpqbm7ndJUwEGGM3ENFr6f+/TUQLAdwL4KGxPheu3pCIfg7gCgBxCI6FDEA1gF/l8d1VEPwkzgdwGYCLADwHwRQt7UGGAJSmP/KeRVyXN6KfVld3D2prC1emdKrfgx0D6h2iYHEtvnCtqqxUrQ5jlMYyr6aFCACGhoZQWmSLay5YrVacccaZOOOMvXkCxYyH8jbJR+nRaBRuTjeBXBD8kPndOYgI1113Pa644nJ85bhjUFFenk7Ab8ekyjKu6U2frwSDoRDqCnjPywN3YrFYTiVyjQ4gAcHHl/aBIi/te/agr69/dNr8oosuwkcfrca9jz2OK84/DwBQXu5HIBBEI0Qf6wiAkSzr+Fi5CkS72jSzBkjp6+/H6V+/ALW1dWhsnIh58+bhK185DTM5S5xGIhF4vWPlKmDVdRXQEq1az5F8gLtx40Zd/1a58BMFn56gk18fIsLpp5+O9vZ2PP3wg6PW/LKyzIwVYtvEGIWM81fpy0WRFw6F4PPtdfkaT7/Wj9etw/z581RFq5xp5fas/LpiLENzczMOM1hS1kQQrJL/rwOwbjzOg7c3vBjA5wD4AVzPGDufiH4AIN80COsZY4+m//9nIroFgqCVqgMPgAEAAdly6bosiOhbAL4FAPUV2Q+sWifRJXx00bUAACAASURBVLG4FmIEroeQhaD4wVm1OvWtRaRtVuroJlWWoaUvqPmiBQTnd2kRh2J0eEYMrlqdt4jeICMajRTUMil/EXncfJkfpEydOhUnnvhF/H7FX3Dr978LxlKjv4vWAKM5EEFjmRc+nw+Dg5kBWoW+VvF4HE5n/hlTeMQ4Y7nPEhSSN977D5YvP3zUumq1WnHLLbfiwgu/gaMOXoa5s2aNZhbQI5FQT4dVrEhtPf741wdx0kkn4brrrs9ap9dvMsYQiRT2WdJCSJ3HuIwE4v2llT1FzfWmscyLtzduwOK5xSkJrcRl552btaxUIdUaIFwXpf5P7MtFkScdsEfCIe7y58Xmg082jAb+5ftu3rlzJ6aNQUaBmhI3dyaeZs8+7+O6z8Dbw/sAtAHYCmBRetk9AK7K47t3ARjtjUmY97VA8FeVevfPBfBJevtyIqpQWJcFY+xextgyxtiySllOVq2RbXtPH5elpy0YzniJ5vogjVVwVm11Dbq7tYWrvA28bcoKvEilBOFqIKeeUQSLK9/vZuTaaAUzRSLFtbh6DWR+kHLppZdi5cqVeOiZ5wwLN5/PV/TMArxZBQD1fMm8SIX7ePLuu+/gyCOPylhWW1uLK664Anf89n+F4helPgQCPMJVPx3WWLJzVwveeustXHTRRVzbi8/UtHK7EITissFms8Fus42ZBU/L6qp0v4n9u5GgLADYtGkTFsxVt7iORXuFZ1oQrrn26SLhcBjlKmkNpRjxs851sLV27VocdJC6lZT3WkXCYQwNDaHBYIGcAwkiep2IWonoXSJ6J/15l4jeGe9zA/iF63sQhKoNgJ2IjocQFJVPNNlrABqI6FIicgO4GkALBH+JK4loAhHNAnAdgMcYY2EALwC4hYjcRHQJBEGdnYU5D4QcrvzTprl0blLGylWgproKvb29hqJrcyUei8HhcHBNbxbbYpRLx62WBSIajWQJsEK+iDxu/mpKUkpLS3HPPffgiSeewN/+9lhGVgF5mi9523w+X0blt2IQj/O5CsjzJSuhZ70QxjPjq1wHh4bw6aebcfDBe9PziO05+eRTEI/H8Y9//Rter1fRMia/RoKrAN+szFgEZv1+xf34+te/jrIy/+hAw4ggihqwthaqf9CqKCditB+XuwnEYzG0tbVh5vTcKmYVqq2Cj6v69dC6XvJ7LxwKwVcyNkF0WkRjMezYsR3z5s3L8mk1+g7u7upEQ0PDPjEzYxQiOpGItqVTgj5JRFnmcJ5tODgJwCCA4xhjR6Y/RzDGjsy7EQWA98qdD6APaVcBAH8FcDcEsZkTjLEBACdA8G/tAnAagLMYY69CEK/rAbwL4A+MsX+nd7sWwGwA/envPosxxhcuykksFtO1qvE+JOK0jGZKopKSrKnaYuB0OuF2uzU7NCVyERA2u1CvvJhplkpLSw23Jf/vLMsSGrw+gTyIhQ1CIf0KZ3IaGibgN7/5DYaHhzNyngLC/acmxqurq7GnX9/qlw88PoZKqN17YmJ7pTZZLASWGvPsLBns3NWCyZMnjQ5ypO2wWq0499xz8fzr/8Dbqz7AwoWL1A4DQChQkkgk4HA4VH0jx5KRRAKrVq3Caaedrjgo5BGwkUgY3iJVn1OjUFHxWn25mJ1Dza1jrIQfkTCAK4SrW2hoEGWl2qVe1e7DQlpdu7q7UVVVnWE4yNVglBgxXngmV2pLvZhUWcb1qfZpD+aIqBzA3wB8H8BECFOOtxndhgcmlKX8GmNMOz3IOMElXBljvYyxHzDGdjHGXmOMTWSM1TPGntLfW/O4/2WMfY4xVsoYO5YxtjO9/DbGWAVjrIYx9hvJ9l2MsRMYY27G2GLG2Np8vl/lrAp/SGSPZMUOsKKyCt3dXUX5TjnV1dXo6ekp2PGklXGkHbrd7oDValUsN1goamtrc/7djFhdxelNAKirq0NXVxd3ah2jEBHq6+vRqVARi4empkn4/vd/gOU6pSblberoyPw+NTGeazSw0+lCLF1Gs9hYrFYkdaokFZvO7i7FWRvxvlu+fDk++mg11q9fj+OPP360yp680tRUvwfVTivcbnfR0hEZFRA7d+1CTU1tRsCOFuJ9Jm1XJBxWLE6iRK73XK40ByKjHyNM9XuQSIzAZjNWmrcYgw/B+JIp8HhEnpIoH4lG4C/TFq5Z39+xy9D2gL6oF7Ik7D0PXtGq1CYhgLX4cSVF4FQAaxhjz6UNf3dBKABgdBsuGGOb8jrbIqIpXIloLhGtIqJBIvoXEc0YqxMrFnodYS75QbVQKvsqFbGVVVVZYrKQVjwpVVWCu4ASRkbncgd/pc4hnylons68pqYWnZ2FE/xS8aCG0+lEWVkZevqMpxXjpa6uHh0dHVzbKlm4zjrrLFRWVilur2ShrK2tQ1dXbkKZF5fLibjOIEbt/tO7L+VtKnE5izaw4GVPZxfq6gThqnT+Pp8PCxcuxIknnqjq+ys+U3ED/sF6FMKNYFdrKyZPnqS7nZawiEQiGYGb+wJK56slXsX7bqKfRq9VMpGE3V5cX2Qeq20sphwMaUTsif1gMBiEv0w9cc9YlRoODAazyj4DUBxk6A06ksnk/ipcFwL4WPL3BgC1RFRicJv9Hr2n7F4A7wC4BMAFAFYAOEpzj/2cQgtXOXK/qIpKQbgW43vlUetVVdXo7dW3uPJE1moxqbIMJSVC0I+YosVd21jQqbKJ1ZXo6iqOpVpMo6IkyOvr67GnowN1OaRq4qGhoR6dnfrC1chAQytbQl1dXc4WXl7G0uJqtVqRTIyvcN26qxULFy5UXCdGdt98809U/Tyl912cw3WpkOilxNrWthtNTZNG7z+pGOLtLyKS4gPjjd5z1ByIcJeD1sr+wNv35ZPndPQYGoOdtmBY8TpN9XvQHIhk9XnBoLJgLARG2hoIDsLvL1O9XlpiVWyTeB3HUri++OILuOaab3Ntm06FuIyIVksW38sYuzf9/1IIcUAAAMZYnIgS6eUhA9sYhoh+whj7Wa77Fxo9V4GlAG5ijG0EcCsA/SLU+zmMFT62Qz4FKMWR9j0dCAQK+6UKVFerW1y14PVzner3jC7z+UowlIOvphryjr+urtawcDWSBULtetXX12P3nkxhmY+FXN6uxtoa7NmjLVx5A85EKzIARZcOYK/7g9wfuZBWf5erOMJVHq0OCOU9ExKLa7FmL7Robt6hm9y8qqqKK0CJx+d+LGlpacWkSYLFVW7BU7PoiddG/DcSCY+5xZXH314rdZzSOuUguvHP/hCLRQtipZ9Y6hEsrgaKKShZWAthdQ0EAlkC2qg7h8hYugqcdfJJWLfyPa7Pb++8HQBWi9mQ0p97JYfLSAmaLndvQ2ZKUJ5tcuG4PPcvKHrC1coYGwEAxlgE41gidqwwkmbJKEoVPAAh0Xp3T6agLMYLt76i3JBw5Zlakr+URHy+UgwNFU64yqmrqTU0xZ1P5gcpM2bMwCdbtnFtm4vlpKGujttVwChKYrykpAQWi6WomQWcTn1XASnya6UkzJWsYI1lXsHiOo6uAqlUCrt27cKUKVNUK/poDZrkz1M+rgLDXe1Zy3hEhJZ1sLW1BU1NTarr9Z6zxjJv2uI69jOXxS5bmhgx7uNaDKQWV6XrIV8mDm7lz1QsGoXdblfNCFJo/1yt+653KDwqXNuC4QzRKi8yoEdq/3UV2IzMVKFzAGxjjEUNbrPfs//lgygCcpFYzA5OPkqfVFmG6uoadHEUB8iXagV/Wjm5CDwlEVFoi6ucutoaXYurWn5GLeR+rvK2LV68GGvXfizfrWDMnjkD69evMyy+jLoOSKmrq0NHAf2F5ficdm6Lq3h9NKsVSSz9cjFus42vcN3T2YmSEh938JIUpSlcI64CuVq2eAUIYwwtLS2YNClTuPJYvqT3nBPJfc7HVWTHwEjGxwjJZGF8XPMVhEbyJishXqshiV9psTIi8LZVzWVBvEa816qxzItKr3NMiv4UgecAHEFER6SzB9wB4LEctsmFfSA79l50La5E9Er68yoAh+TvV4jolbE4yULBZwEbm1Q60mn1mppqdBcw2l+N6qpK9BkMLFITEFoVqACgpKS4+UFrqqvR39/PVYM8F6b6PYqCfPbsOWhvb89qW6Ei8Sc3NaGysgofffSRof300PLTq62tRYfCICBXq7/8JedyOhGPqwvXQlaos1qtGEkYExyFZMfOnZg2LdNNgEeMS58n8Vo1lnnTIiR3VwElqysP0a620Y9I/8AAbDYbAgkabYsoWqXiVW9wGAqF4C9glaB8fUK1zldJEEkHS9L/C1kFxn9SUi5cjWRKkN57Q4ODBfNv5R1UqQlkwVXAn7FMfm14xWsyuX9mFWCM9QH4BoR0oW0AugHcSUQXENF2rW0K8PX7lNbTE64XA3gi/XkcQpDW4+mPuOwzRbGCs7T8XGtqatDe01/w78z6Hg6Lqxo8fq7S//t8JUWtyGS32VBeXs4lxNVeTPI2qYlxabvsdjvmzp2LtevWGzhbY5x00hfx2muvFex40vNXErB1dXXoLFKgGyD4uPK4Cmj5TGq5C0jbJFQNyrT0j6Wf6+Zdrbr+rUaIxaKj+X2NkKtg1WJnS6ummwCvz6FQVW/ftLjyIk9bBgCJkYRicJaaGNOyNmqt07N+xmJx9MWURZx4jXhm1oaGBrPEoub3duzi3tYogypZBeSoiVdpHzGWwVnx/u6MQaDWZzig/y5jjL3IGJvCGCthjF3EGIszxh5ijE3X2ibfdjDGCiF+C4amcGWMPcgYexBCqdevA7gJwC2yzwFFLlPpWlObgJA8fufOnVnLC/3CLfUpJ+2XRwgbzWPYWObNmuasra3F9rbdGcsK3Z6Ghga0trbobygjX3/XxYuXYOXH2SmEC9W+k45cjpUr31dcl491Us3qOmnSZGza0cx1jFysWy6XC5FIboEURvH7/egO5j9gymW6trO7Gy+//HJGdR/eACYR+XOUDA+hoqJCZevcyFVg/GftJ5gxY29GxFyDYwYGBlDuL06kuhpElBWgJX2WmgMRVdGjtlzalzeWedOV9cY3kC44OIhwOASPx2uon1NyU9nT3o76euWyqLk8H7nedyOJBFpaWpBwuEf9W8Vr0h5gaA8YmyUNBoP7TFYLk9zg9XF9BEJp1QsBnJv+nJP+9zOFUOVH2UcuF8GjZMWTCoiWviAOPfRQfPjhf4uasB8QE6NnpnFSEq28aLkLHHXU0Xj//fcQiebmE67UMcotDYsWHYSPFQQkkN0uXsRIfOlHzmGHHYaVK/9j6LhGKC8vz6n0qxI8VuQlS5bgo4/WFOT7lPB5vart4b1OYjvEf+UBJeLfpaWlo3Xax5Ltzc04/7IrcMopp+DYY4UAXJ57r6urC2+99RYSiURG28T2fPTRahxykHZ1LT3ysb6Kg7Hevj48+eSTOPrkr2QFx6ghf37E/7e2tmJS49hme7DZbIpuRfJrJAoho2IIAGyJYVRUlOd8jnJie3YZFoh/euAhfPGLX4Q7nbEiFwOEeJ22rPsYR3xumaHv10Mx64CsjfJ+/oPVq1FfX4/6CRMBIEO06iF1+RLbtW3bNsydXrhZEZOxh1e41gK4jTG2kjH2gfRTzJMbD9SikuXWSKPWBjHoR8nqVV5ejtmzZ2PlquL+nK3tu9HYuHeqLx/RmkgkMl62IuLflZWVmD9/Ad55f2W+p63KoQctxJo16r6gRkUrY4wrbc7s2bMRDAawu0DR//KO2ulwYGRkRNVCxFMJ57333sU999yDTz/dhKaKUkUxPlqSeNo0DA0NorM7O0CwEFbkkpISxTK2+QwugL0vIqk4UirLW2w+XrcOl3z7Olx55VU4//wL0Nqf+f1a/cWbb76JO++8A2eccTr+/ve/Z1zzep8bGzZswFKDwpVHqMoFhJ5A+ssTf8eJJ56IuvqG0WVaQUxywSr+PaHMi46ODjROmKB7joXEbrdjeHh49G8la2suYlXanw8NDeUUlKcHr3htbW/Hq6++ipPOOod7cKFGrdeJTz5Zh0MP/hzfOXZknqPWPWjU8vrav9/B4kMOy2hTLtdKZNu2bZg1fbr+hgVguK9zdACi9xnuL36Adj4Q0U4ialb4bCWi/xDRbUQ0JlMOvML1QQBXF/NExhOpcLBa/z97Zx4fV1X+//eZSSaTZJJM9r1NF6CUAoWCAgVkE3ABUVGUTURBRPmK4gJq+SooCCqICC5ffiqiyCKKKCiI2BaEshQKtHRL07RJmnWabZLJOuf3x507uffOvTP3TramvZ/Xa15t7r0zc5455zzn8zznOc+TwZhFAnOnFTpUmHm9jJ68M844g6f+s9rW56WLpuZmampqTO85VXJ33/1T3v/+93H77bcxsrcjXm9Zi+OPP57/TqMnb/nhh7Nly5aE+EnjdrpRNqtE6Q8++CAf+9j5NG1OHr/q8Xg47rjjeOGldWm0OjWEEGRmZurkcpoh4amnnmLLls2sWrWKK674LOEk8cYej4ejjjqa116fnmwJgUBuQryzVXhKOmEqWige1+mLrTYaGdFolC9/89usWrWKs88+WyeXHVlaWlr4wmc/w123fp+//e1vPHTfz6kJBphfXMDGjRupq6sj3wYZSmcb1u57BgYGeeKJJzj57A8mbNU6xZ49eygpKSErK2vaTqqbITNTMQbBvsGUjByZefL6+/soslnK1ilSeSUBfnTvL7nwwosoCOq9vnb7StXh84sLeOWVVzjkkIPJCwQc95NKWqeCvI6NjbF27VrefYJSxtqJgaE1KtQ+ikaj1NfXc8hBM0Nc9zPcB+xAOfv0fuBaYDfwF+BG4Djg5zPRkFQlXzcLId5BST77QyFEt3pNfc1EI2cSZh5Xp3FpRkgpE7agjTjllFN58cUXiUxjhaGGlj3Mm6d40MyUt5PF6IUXXuCmb95AaWkp11zzRdauXZvwzLHHHsMrr7wyyVbroVWiubk5LFy4kI0bNyY8Z3bqORWJ+M9/nuN9p5/GXXf9hP9314+Sel9POGEl/3lxeogrKLlPtR4iFXZjJnfv3s2XrvgMf3/oQZYtW8at3/4GvT3WOaiPOWYF6za8OblGWyCQJFQAnBtNY2Nj5MrEsTq/uID8/Hx6e2fO41q/cyc5OTmsXLkyfs2JB7mlpZmaqiqWLlnCb352F01NTXzjG99g3bp1PP/8Wo45Zmq2atMJF1C97Y889U+OPfZYyioqdfe1BMKO7phfXKCECcxPXTLWLuzGXPt8mXHiqoXR29o0iWrOfX39toyM6cCbb29ky5bNrDzz/TrPpN10UfOLC5BSsnnzZm666bvcfPNNnH/++abPOglfsDvurD5z/YY3KSwpZTg7X5+5IqR/JSOzusO1wwPk5+dR4KCogos4rgY+JqVcLaXcIqV8Ajgf+JSU8l/AJcCHZ6IhqTyuVwGfB64ETgXO01xTX/sVMjK8prFQWkXghOCNj4/zpS/9D1/72lcp8FpPrqKiIpYuXZrgxdNu1U427UtzczM1NYlbv8Zkzqnka2pqYmhoiFNOXMnVl17MvT/6Ibfd9gOeeOKvuucWLFjIyMgIzS0tFp80eRx99NG88caEV9e4BWgXe/fupaGhgSsv+xR//t1vaWzcxYYXVuue0X728ccfz4YNGxJieKfqgJbP54t7XJ1uqUspaW5uZl5tLUIIrv/i1Zx44knc+u3rKc1WDpQYveNHH72C11+fHu94bk6OWs4QsJbHzrxqa2vjqqs+x/nnf5S3X3pe5yUCxePa1zc16bXsLNCvvLaeFSsUcmk29lLJ1NLSQk21sv0eyM3lFz+6nUMOOZj77/8tjz/+OKe8295W7XRhfHychx76I6d+4Fydt1UlCna8X9r+aWpKnplgumAMFTBNzB/S/2sFM08eKB5XI3GdSq9ysvH4jzXPc+65H8KnKRbgZJ267777+PCHz+Nb3/omtbW1PPnIQ5xzqr3q7lrvqRMDyY7X9Z9rnufdK0+M/93cIxWi2pk8K4DRGw7KONy2bZvugKELRxgDjAtcERM5XjOBRG/LNCBVVoE1qV4z0cipgp2FKFnlHa0isKsUHnzwDwwPD1NbO4+LL76YzRutt6FPP/0MnnruP7Y+Nx00NTVRqzkUkczbuqN71JL4rVv3Escdd3w8bdhhhy7hN/fczT333ENjY2P8OSEExx57LOteSy8nqZ3+Ou7IIxIIl1EuO3310ksvcuyx78Ln8+Hz+bh11Tf5+c/vJXPYvIhCXl4ey5YdxrpXXk352XaQEOdq4XGF1N7jzs5OsrOzCcROzgoh+PIVl3PYYYdxyy23MK8o0duwYMECwuHwtKTFysnJscwqYJfgAbz11ltcdtllvOc9p/D7X/2SBx74Hd///vd0xQ0U4jpzHtd1b2xgxYoV8b+TebuMfTY+Pk57ezvVlROeTJ/Px/9cfhm//dlPeelfT3PMUdNbZVtLHszm27/XrKW0tJSDlywFnG3VQqKBtH17PYtqZja+FRTiOjo6ahnbmo6n1bhz1t8/ex7XDRve4Oij0xsrfXt28fe//42f3X4bTz3yEFdfevGUeiTTPRwYjUZZs2Y1x608CVDGnrafzMirVcpJFQpxPTit9qSDkVAbQ62Ntl6j3ft2jCtwA/CcEOIXQohvCiHuBFYDdwohaoCX2BdCBQ5EeDweHXG1m37DLI519+7d/OEPf+AHq77NN75wFd+5/mv85NababZI4XTqqaewbt26aQkXGBkZIRQKUVFRYZkGxu5p2pdffoWTjl2huza/tpZLLrmUn/9cP25XrDiGdRYn/9OFluQddeQRbN68OYHk2fW2qr/Fiy++xCnHvzt+ffHChVx88SXcfPPNpkQPYOXKE3lumuJcfT590n4nB+j27NlDbm5u/DdRf69VX7mWnTsb+POfH0t4j8fjYfny5aw3CRcw8yI78f77s7Lih/lUWBlNViQP4LHHHuMj53yAKy+8gIMWLeSh+37F4GCEz3zmcjZu3IiUkmg0SiQSIRqN2m5fuohGo2zYsIFjjlmREINsPPlsJOa7Qr10d3fj9XrjXntjwv9k+aS1JNOuxysdAvH3Z//NSe89O+Gwj91tWlBCO3796//Htdd+iddee5VTTlyZ9Pmpgva3NHpcraCSISsia+bJAwh1dbJr1y6CM5jmS5VvcHCQnTt3EqioTfCK29HpDz/8CBdeeCEHLVqYMOZmMg7ZiLc3vUN+fj7jeUU09AxOePk7vQQ6JIEOmdTzqvaRlJKs0QgvvPACa9as5oiDFsWfmU355hqklA8CJ6DEtdYCUeAKKeUPgDBwkZTyxploywFFXK0WW3VhllLyxhsbWLRokelhmGQKQH1+V6g3/v/u7m6qq6upiuXCO+n447nmmmu48/vfZcDklHV+fgFjY2NEx6d+0R2MRPD7/ZaVXZLJppIMVbahoUg8D6N2sb3w3A/y6quv6DxeAwPhaS3vGMjNxe/309fXZ0ketP9v6BlM2CbcFepleHiIYMzLoMr0mQvOp62tja1bt5p+d3t7+5Tn2JyABETS0AdjMnG1f5YsWUJpaRkP/+Xx+LOR9ib8WVnc8b2b+OUvf0lzcyKJaW1tpbysNOG6mXJ3EuemHjYzxhhaGU1m3ldVro7unvi1nJwcfvzdG7nooov5xje+zgknHM8HPvB+LrjgAjye6VdtnaEQGRkZFBeXmN5PRRjCZHDWWWdz+z16Y8/s957pBTa7vJZoNMrrr7/O4csnPHnJvJPaXRp1TI6NjXHjjat4/fXX+cR5H+LhX99HZYV5btDpREZGZtwhYSR36tazSoK0ZMhsTKqEaNNbb/Lfp//OM39+mG9d+0U+8pGPcOjB0+vNM5t3DY27qK2txefzWb6vuUcmGIVqH+3dG+KQ+coaaEyKn+r7J2s0JfP4//eNDSw5YjmgMQRjpNUI1YAy0x2P/PqXXHbZZTz88MOce+65vGeGDKf9DUKIa6SU26WUt0gpPy+lvA7YKYT4l5SyZyZ34A8o4moGrTfpjbfeIiMjg2XLliU8Zxa8b9xO15KMXaFehr1Z8cpOqiI4/+wzOf7447n/3p8mnMTv6uoiJyeH3Fzr8pzpwhgCYRavpspmpqy1KZhycnIIDwzqFFukvYnc3ByOOeYYXnjh+fj1V199lROOXp52u+0QpGSeKSuPgyqPKpPIzKJ/YMCQYcLLWWedxTPPPJPQV+Pj4zzzzNOcd+YZDqSxj+HhYfz+9Mpitg8Mc9ppp1G/W7/wRNqbqJs3j4suupif/OQnunutra20t7ez/PDDU36+HW+rcdHzeJTx59Qg1PZRsLJGF4oSaW9iqKOZj551Bs898TivrX6O5//xJDdc84WU7bNLvJM919bWToWGhJnNKSNUw6mpd0AJpTn5VOrrd+i+b2hPY0oCMRPYuWsXeXl5FBWXJGQS0BI90PehqhOj0Sg33HA9IyMj3Hv7Dzj1pBMpKlROvM+0TBkZ1iFgVjB6lLXyd+8NcectN9He3s7o6Bh3/eAWrr704rguStVv6STwt8Lu5uZ4CJjd8ActeZUSBCLeXqu2TWWb7WD9+vUsO3L5RFtthnNo+6nEn8HTTz/Nnx+4n/t+8mMu//j5eL3eWZ1XcxhXCSFuAhBCFAoh7gZeQylQNaM4YIir2WJr3AJ99O9P8cEPfjCufIxhAlYTR0uCtK/CoiJCoZDudHqkvYmvX30VGze+TX19ve5zWlpaqE6S3zDdEoGQPHYXrA8mGOMpm3oHkBk+3Slx7Xeffcp7eO655wDF27JhwwaOPfrotNqcDpyk69Eq75zcXF2uUZU8nHvGaTzzzDMJW8/r16+npKSEhXV1uutGZZiujENDw2TFDlrYOZRlJOK+/EJaWvbo2qHKdPnHP8rOnQ2sWzdRRGHNmjWceOJJ01ZrPR3iYBx31bW1NOxsREqZYDQp35FBTk6i0TddC1RbRzvl5cm9h1bEB1SZ5tG4qzFhfE1mrjuFC/EnQgAAIABJREFU1SGZN958i0VLlsbHlNnBGCN51Xr19oa6ePvtt/nJ926Kp79yShimSlbL/Nwh/daz6s3TymUWDvHsXx/jAx/4AN/8ny9y3ec+y5EaZ4fT8aaNc0wHO1paqa2ttTxwZnS2qK+J+SXxeJQ1T/29zfKMmrV7ujAyMsKmTZtYuuwIIOaA0Hhbg6GJSn/a8A5jP61e/R+OOuoockbDs2IIju3tYKS92dZrrHcSKS1mBicBZwghngS2AwuAFVLK1J6CKcasElchxNeEEM1CiLAQYrUQYolQcIcQolcIsUcIcZXm+QVCiBeEEBEhxMtCiEPT/W4jad3w9tusW7eOc889J8ErZLRek8V1aYle+9AYGZmZ8byS6uT3+Xycf/75PPjgg7r3trRY51mdLLyG2N1UMMqnlUvxuCpKcmhPTOnGSNHJK09g/frX2bp1K5s3v0NVVRWFQXv1rq0UoZ3Fyyx1lVEG7aKqTZMFMOb16WRSsWjBAoLBAjZs0MfpPvvss7z3vWembFe6GB4exueb8Lgas1okI+ZNvQOUVVTS0qJszxl/P5/Px9eu+SJ33nlnPO50zZrVnHny9G2haYmDlbc/GckDyC8IIgTsjYULaBfU2fCetLa3U1FRrtMXdlIrafPVhsaU+dTR2QnoSYydcT+d5OHVtzey5DCFkBm3arUkzyin+uxgeIDCwkIyMzMV77jDSlBTSdDNiKvaT8at52Rb0Q09g3S2t/P0009z5UUXmtacT4WkRkmr+cGdZO9vbm4iO1isk8vs5L3ZmtXQM0hkeFS3a5UOibYTP203xjq7vJa3Nr1DZXUNoTH9oaxgqCFOWoOhBlNDAyb05ZNPPsmHzpo+PX0gQUq5FzgdJY5tG/AhKeXm2WjLrBFXIcS7ga+gsPhilJKy96Iktz0DWAqcBXxPCKEGWf0OWINSyetPwB/T+W4jaR0eHubGW2/juuuuo6DAmmQZt8dUGBOna63ZYGERnaGQzpKNtDdx4YfOYe3aNXR1dU18fnML1dV64jpVC7KVx0FLys0OJhiJUkPPIKPeTMu8nHmBADfccANf+tL/cMcdd+jyUCbdOmttTNr+ZAm4zUIFUsUXGj0P/txcugcmUjZpyfiZZ57J008/Hb83Pj7O2rVreN97TjT55NRtt4JWpuHhobjHVdtmI6ziXof9AdrbO+LEVEuGIu1NnHLiSubNm8eXv/xlduzYwdatWznu2OlLvZTM459qS1N9NfcNUl1Ty85djfH7dgnedKC5o4vy8nJAn00ArGXSZhpQx15xRTU7d+2Oy6Eu8GayJZN1KskDwJtvvsmSpYfptmrNSJ0WWsOjob0zXklKd5jMDiGf4j5Vxt/E4UAtEYcJQmT05Jnp/Mce+gMf/vBHyBkNp1WWVQu7BDHZc83NzVRUKTt1Rh1h1OnaA1vqszIWT686IbTjLx1EWpuItE5u3XrxjQ0cdoQ+xCzV2AO98dvZ3s727ds55cSVST3HLpJDm7sfWA8cglJsoGG28vlPz76gPYyjMHe1DV5gL3AxcLuUsgVoEUL8EbhACBECjgLOkFIOCyF+DHxLCLFESrnF7peanZC+5/4HqKtbwGmnnZ5Q+Ua19ozbY7XFiYtw4mGgQQqLiugK7aXIO6EI/FV1BAsKOPPMs/jTnx7lqquUdLgtLc2c9K6prQ0daW8iu7wWr9dLNBqNeybNYtbUf2tKrdOBLSrMxJ+dQ09kKEHRgfL7fuj0U3j34Uu57e57eL/NXIAqhlob8VfWmd/b02grvlIXmxsnEJKaoNDL3DNxLS87h4HOlgSZ/FV1nHPaqXz805dz7bXXkp2dzRtvvEFZWRk1VRPlL2HqwgTGxsaIRqNkZmYCkZTPm5HXhcEcgoWFtLW3o55/Hmlvjv+2Qgh+8r2b+NlvH+Cyyz7FypUn4s9KjKmdjOGkjj3QZOswmMp24tbUcdfQM0hBeSU7d+1iEeGEsQeJ89vuwbJ0xl17eztHHZUYBmOUSflbGWuqPOrYAyirqqahsZElBylhB+qi7yvXG7HJDsZMNdo7OxkYGCCaXwy9kYmtWqSO3MFCKDXKrMgWGQiTn58/ETsZa6+/ss7yN50uYmFaWEbjxRvvV8K2vHmLY/ItJFwmJjx6eIFxtudFeP65Z3nub39laMebuj6wo5umQz6FuFbxlsbAUD3j4TJhqdMVgqeUlhZCgFR0hNX408nROvVyaLF+/XrOPu/8eDaB5k4vNaEd8X4Cpa+00Mq5o3uU0NbVnHHGGYx3tyeMPT1OnjY5hkMdRHyJeeHNMNLdlfqh2cFVqR+ZWcwacZVSviaEeIKJwN4IsBwlF5i29uQmFA/skcBmKeVw7P1RIcQWYDFgm7iaYfXq1XznO99NesjHCHUxAn3aGxXqouTJyqavvx+CE8RXnTiXffyjXHTF5wiHwwSDQV5++WWuvuxTkxHFEurJ7pGREXsxk3H5jBgl2+8n0mfOOFSyUlFWxp03f3dSbbYLITzsDvVQUlpmK12UfitXWWR7pZdxTYxrpLUJX3kNQ3saqTrqJE44YSUf+tC5nHHGGaxd+zyf/7yzuWyXdINyqMXr9bJ7b1/SvlIJnfp/PQYpKSujraOD6lZzL0p2eS3XfvbTnPruY9M6EOhEpuzsbAYHB/EWTJSyNj00pxt32kNOiqxFpWU0dXTB/OKE94KeLDtFMvJqhv7+xIwZWplUY1BdTLX3tPpDBoK0dIXgoAqFOLS0pdV+IyKtTWRXpvdbbN+xg0MOOQQh9MaenrQqfzd3TqQXqikdj8smewfIyFDGp2pk+Mpr4r/zTHi/1PGQleWP5/vV6gijF08lRsq+28K4vOEyRcbxkWEyfT58kV56WvUygbM0cU7Jn9n4HBkZob+/n2BhEfR3JcwpLXlVfEUTqI1NoTGp7CINtTcq3lKT8af9XmO7tcZjKk+r+nulkmvr1q1cs+RQ1u+1Tg053l8f7ycVqoFRE4SmxkY+8J4TE1LHOZnjLpR8/rPdBiNmjbgKIU5HKQ92NEqg7+3AH4B8QBtk2h+7ZryuvWf2+VeiVPyiqtR8kVNRUVERP/3vFGZb7cpCFSO1MS5s9A75q+qYX1vLPT+8nbfeeYedLa388s47WDA//aoyqYhEMBikp6cn4XpCLFTMcjXKdfwSRfH1jEgCsZyIWgtdlcsMybyRCTFcrc6Ui9+fxcjwcFKSpy6mRplUx//8LD/hiKIktbW2/ZV1RNqbuP3Gb7G7uZm//fs/fPeGr3PiccfZlk97zc7C5vP58Hg8jMQqZyWD1Qn2RYWQmRtgb3cP6nE/tZ+Mv+2Rhydm0bB7ItquTOXl5XR0tFNZkHwugvagoFYuZT4NCB/9/XoDQwt/VZ3j09zpeo8KCgro7++jPMVzWtKgn2vKAuvzZzM4qKg2VZ5IS1tS0pmMPEwFBgcjkGGdXkmLms076ClWyENPh4fgYVGaQlCbmaHL3WvHk+cUan+qY9BqPAaDBfT02K+oNkGKFAQ6JM14WVE+jtc70YdGmWbakzw0NER2dnZSp4vea6yFovt8GlKvwjj+0pkj6RpOkaEhxsbG2Due2pGk7Sd1DKoYHB1DxA6dqfNDazi5mLuYzVCB84AHpJRvAAghrkchpmNAtua5HKAb6DFc195LgJTyV8CvAI44dEnS4JiamlrTvJbJoC5G6kIU6JAEYp6ing4PHBalxiRcVlV0qiI78vBltoiDk/Q9VkQiGAzS3d0Nvgmub7VVqz3BqcrVVAogqTDk5FQtdNVDCfot23RksVIuZvL5/X6Gh4fJSFG0RneCmAllXls8TseIl7HIhCdmQqaJ75tXU8MXPnVJwudO9pS0WX8FAgEGBsLg9Vt+VrJDQDuCo0Szctnb3R2fNVqZVJh5Jx0TPwN5MEN5eTltbe1UHrTU8hkV5knFFZKXlZNLuFWRQ12MrAi5VTt111obE/62O+4UMpRoCJpBqyfi1/DSXDyOZzwTvyFmPNwSJrtaYxAm8XiZIZnny8zrZcTQ8BB+/8TYMxtjidvrCpo7F1FTOo7Xm8HY2Gj8O9V2pUMedFvyFv2j/X9iXxUqui8FIr2aTC+99WQXxLajY6QoGo3iiRFXK5lm8lBdZFjJPpJqF02J3zVcLK0DIDMri8jQREhSuCVMoDpgy9BIx2BKNf66u3soLCyMe/tThRMZveTqvNLW0NLOB5e8zn3MJnEdBJ0JOIZiAm4AlqF4YUE5pPUmsBU4VAjhiYUJeFCChN+abEMWVFWwK3YCe35xgWmuSTOoJMgYI6XcWwSLEgsJmBGihGdSECE7StzsswsLi+jp6Yay5OX8VJmM6Nm0kNqTo3gzMhge1lehUSz0iRhKKxmcxOmlUi7qNmB2djbDQ0MJg9mo8LT9NYGFNJXC0iw/of7EohAj7c2mZFz9ftN2T4F3JT8/XylSUeA3DX/QklZjUu5wmYBFUbLzCujo7YNsPRHUxroat9Ynk3symdFUUVFBW1tr0vcbyZ3aTz3FC+np8NBcHMUXzcKv9bhqtjW1hNzYDken2VvtjTtlB8OertDqCVVHBEPQVFrHIn82A60TxCPcosin9XolmyfJyIOV1ysVeYhEhnR171UZVGhjDbX/V55TyEN7CcjR0YnMDy1tZFdXJIQMpMJUkLyygjw21WvItckuhUpaR4cn+nS0Yz2ZWQUEQ4uBhbRWj+P1aDyusfGXXZnaGFBh5i1P1ws9NKQ3MMygXZ+0aO1cBIxTKTKIRIbAo8jT1eoFwmRXJ2/fVHv51Tm7t7ubnLzka5TOwACyCxbHva9qWIcVjOEd04nhrr1EoqkrtgEMh+wZwTMNIYTVNvCQlHJW6tTOJnH9O/CoEOJBYDPwHeCfsetfFUKsAQ4CLgJWSinrhRDbgK8IIe4Bvg5sjB3imhRqqqt54dX1jt8X6JDkNT5DWKPwMmNWeqBjIc09ksERZYtQ3VJXFiWF5GkX0+zyWltEyPYpVA2JUBfawsIg3d095JXNTyqTqui0yiG7YDFBoClUh2/EQ/bIxDa21kJXycNUbZeZLW5GgqR4XIfQF2HUw8zIAMVKb+5cRFmpT7ddNtFPelKnkrypJK1mfRUIBBgIh8kpSKzKZEZajWS8uUcy7s1VvEwVJTqZAPI1B3Ynm8LH7DmjPPPKSnnx9Tcs36clraosaj/lxcheU6iOJf4cwuH++PtUkqcusk7aO9mFqzQ/j8bW9vjfVinKEuaUxpPX2rmIwmw/Q70T1eYU4gAKeWhy7PGye6JbS0iM8ywyFElJiIzkQUUwtJhw2SKEN4OR2M6MXvfpt6CTkVezPrJDeI06ojAYVIx2E2j1gZa0aq+N99dD8UJkdFxXlW1i/NnzJFuFeGi3sp1geHgi37NZdSkzXa4i0HEmlEKGL0spM64Jc+9q9RKIk/LaBPI6mXGnvt9K1u6enqTZfYwYHe6FmHzZKIZTU+lE5OtQa6POwE037vsAxlbUUo56+IQQncClUspnZrJBs3k463khxA3AI0ApSpqrzwBdwOHALpTwgGullKr39VLgAeBm4FUgcd82CawObcyrqY7nvHSCYKiBcG+93kKPTaJgSFlotRF9emu2yRZ5SOnlarW/5aFsl+3FakddVXaqotMp8d56slEW2oOKM+KhApHWpgQLXW23duGYTGxhKhn9fj/DQ8njQVXyEG7+p06uzN56AsVXI6qyGFJrxscUsLpdqyXj6cRPprMllZeneFytjkxpSatqPKlkSDUwFgTy2dvWApQk9FM6h0kmg4ryctrbU5M8FWo/ZWYp1crUsVdakkMklsd1QiYIxDz+kDpkwA7sGEyFwSBvbjEvB6yFSh76OiaMY9WTF+g4E+/B2UQGFa96pKWNlkiMGLUqinGmPF5aDA0Nk+U39/anInrj/fUEOhbSle/FE9HPS20IhJY0TzeKCoMJoQJqlgQgUd8ZEInpdBnNwev1KmnlYuOvpHLCOWFFXs1kNOu/VN7XRANjCOHNtHzeVJfHUBg7WFcoM+LENdwSpiWifF5Ji16npzPe0olz3dvdTX5Bge6a1ttv6hlX/x/rJ6hL+Fyt4TQZL/eBBimlMUQTgNiu9+eAu1F2v2cMs1qAQEr5GynlYillgZTyXCllu5RyXEr5BSllnpSyVkr5oOb5bVLKd0sps6WUJ0spd01FO6qrqujs7GTjxo2WzxjTiQQ6JOP95gpBtdBVL5KagqrxtQgtEU98sU2Wg9Is55yVgre8bnh/WTBfp7zNtsuCoQZTRTc63Eukt55AhyQUyaBvYFD3vV2tXiItbcrWeuy609x5yRRjssXN7/czNGSdNkrtB6v+CoYaaA1n6T5D7SNVJrA2IlJVlrGzMBvfn5cXIEsmplFR+0xLWtX+ivQqi5Q69npkgLbOTt1Cp+2nZDJp5UrH6DC+p6qigj179pg/HIOZcTE63Ksbe96sbAYHE+P5wi3hifjxFG2z+0wqFAaDujzMWmg9yEbSqmJ0uJdgqAGPz08koieILSJmGLbo43lVOCER6eTUDI+MkulTDmep6Yh0n5mE6CkkrwHhzWB0TNkmVY12dfw5lcEIp/1XVFhIKLQ37e+Lyyqj8QM/qhxambTt076cQFtNyQrxnL8jI2T6zImrlS5XoRgYEm9mFv3Do/HvU8eeKtdkc7I6QXZ5LT29vQTy85NmiElmZKgIj4zHU3ypnnGtnphOw282IIQ4SwixXQgxIIR4RAiR9NSHEOJ5IcRxyZ5JBillFPgrMOMWwAFT8hWsvZr+rCxuv+k7XHfdV9i+fbvpM1qohMFsMUr4TjIYGRmJTxbtgmQkD5MiCinuA1RXVtLSYh5ZYeWRNIXHGy9RqfUQ2SUPZsrcuGXmBIWFRfQZDsloswck6y9VVuH1MTKij0Wa2LLFlIwnI+Vmh36cLGBlZWV0dJiHD6mJ4LWkVSuLCq8vO+G0MEz0UzKZksmlJeR2ZaqqrKCvr49wf7/pfbvjT2T4ErItqMagbk4Z2pWKSJiNu1SyLV1yCFu2bLEsrKDto2QQ3gzGRhONlJaIJ2GhTUVonJIMq8/KyspibDTRK57Mg2eE8HgZHzP/baaCDDkxnqorK+noaE+QSQ1LSSWP6vkXHi/j44lnF9R+squ/puo5r9dLVDP+tHH9Voa6FuEygScjg9HREZ0HUl2nVKTqr2T3re6Zhhu0N5GVlcXoyAgLgyblm22OPQCP18N4dOK30TojZoq8RjojhFvCtl5DSVJ/pYIQohClINPXUIikQNmZNnv2LCHELwB7FXTMP8MvhPgkcBdK8agZxQFFXAHL0nzvWbmSSy65lAce+B0AtQW58YlTq9nvVxdYO6QVwJupxE5abZdoyYPVfa2CTrZ4mcaDqQcj2puomz+PXbt2UVugjwZVt2FskVZAeAQyGsVfWUd2dWKtdmPbkpEGM1mcyAdQVVLE3pC558suecCbydjoaELN+HQ8eXZIe6rPmldeRmtra7yvtGmvejZ5EkirCvXvQIfEkzkR/pCsPXaRrsc/0t6E1+tl8eKDaGzYARDPPwuKcWHXaNrTl0hcjdBVnmpN/ltrx5qdMaeVKVhQQGVlJTvrFWNXlUlbjSnVQttTvDDmmUweOmGH6KVDHoxQ5Qtm+xkc1Hu87MijQpVrfCyRkKveL7Ce63ZhK8NCjAyVl5fT1pro9U+pGzQQXm88U4KZ7oPkZCgdeZM978/KiscRq3C6RnkyMhOMdjMYK2Kpf0+VR1Yde3l5sYwqMaTaMbOCcFjmfI7jXOB1KeXjUspu4AfAJyyePRElTDTxNLJ9BFCqnHagFI2aURxwxFULI4H9xDnv56WXXsI/NmH5aBdYFWYnNK3gzcwiYuIhsiJEqUhesr+17zdDXa2S9stIzkBZlGwrBeHRfUZ1djTuddVumdkhDclgZ6sMoKykhGHNgR1tCITdxVYIQUZmJp5S810PMzJk9nKCZO+prqo03VpvCqWWSV2IPb7EEIp0vJN2ZLPzzJIlh9BQb76jkWpRUrfV8WbGK4tNFlYxhkYkk+voo49mz47EONdAh7RvCGo8rlZkCMzJpxPy4MTzlZubG4+7BXvlNo0QHm88j6uZXNr2aA1yK0PWqUFrxPz582nV7DglC/cyQ0/xwqReZMDUO56s7ZMlfj6fj1EN6VRJXrj5n7Y/w+OdOLMQqA5QLSfWvHBLOCEMIlWbIy1tpu+xi/y8PCWjigaqznMCT6yvrGJZZzIEYgZwBPrCTRuBciFEwPiglHKVlPKzQHrJ65XP6JJSvjcW1pk8BmwacEAQVzma3EOjkte8QID3v//9PProI7r7ahUswLYlG4/Jy5w4ra4G8WthJERmSGalW103+6ycnBzy8vIJdXYm3HNCxoWBuKrQbq0na+9kvCxmcpWVltDZmbit3rPJY5s8AGT6fIyMTiwCRjLupM2pFiwzGLc2W028Q82dXtsyeXypPa5OvJPa9zgZdyoOP2gxHU36+2ooh13vkGpgiJKJcrstYjTptrpdEqGVz65cxy0/kvXrX0+47sQQFJp8p6AYgiqM8ZNaouqUPKjvt4JWxkBuDhFDLLFjj5c3g7Fx83KXqaqDOZ47ranHb0FBkP7+Pt01p2QIj5fx8THTQ41OK54ZvZfpIMuXxciIfn1z5IQAKvL9ph7X+CFB7MumG6tpktf8QB6DMeKqdUI4kQmgIDuL8dg6FahW+FtXq1dHxqebvPaEPPHY7lSv/m4PwDFCiNc0ryttfpWuQFOswugYFgWa5joOCOJqhFkcn0peLz3/IzzxxBMMRSK6cAEVTggegCfTR3gkea1irXJOtcCaLVhOCNX8+fNoad4NKIRc3aa1SxwAECKpxysZebB63moxtiNbaUmJ6SEZpwo8I9PH8MiILqwjHheVIqF7KjmdkL1IexOVFRW0t7cjpYyPwaaQUqXIdoxXZhZDQ0NkVc43vZ9OPKTZWDVCt4OgmWOHLjmErVu3JoSqmOUMToZMXxbDSbY201mMnIw7rUwrlh/JW2+9SVVAnzrKiZ7weJUKU0YypI0zdEKKkpEHsPf75ObkMmgoimCX5KnZLaoKM3QxpWaGezoex1Q6wWr85efnxWOs1Z0Lu3NJlammSF8NzEqmZLCSOZWOMUNWVhbRWHuae2Tci+wE3kzlHIb2EKfW6xpvn4UxpL1v55oWZnLl5+URNnhcncikVtDyGEIFzPpqH8RrUspjNK9faW8KIb4phBgzvlC2/rM1z/li11JX3ZiDOGCIq9WhEyN5ramq4sgjj2Tr66/Ery8qzKS2WNlacmqhZ2YruTR95TUJ2zDGIPFUhy7M4otUJCMQWhlra2tp27NHR8idk/GshFPQZu1NBbsKPOnv0t5Efl4efX19OkLU3Ol1LJc/O5v+AUWukspxnedLbZcTz50Z7D6f7fcjhGB4eCJsxalMwuPFl5VFX3ggIcY6nuTeQqap9lBG2ptYOH8+bW1tCTGqTrY1AXICAXr6+smurFX6yTCnVLnskCLtM6nGnZlMhcEgBQUFtLdOFFdwrCc8XjweD5FYLLwqkyqXtiBBKiJglzyk+l3UanQwQfKcIiPLz1AkQkZ5rWmMv5kn2S7S2bHx+5VCJSqc6odwmcCbmUU0GmVoeMLA1RIis/Fn10uuvs8JhIBRQxyx7fMXsUIYWTkBensVAp9dXRHXe+q/2phkmBiHxpcdWMmnnVvZ2X7GNF5kJ/NJNTBqi8Gfk0MorF+nzPpqLkFKeYuUMsP4Al5AKdyk4lBgu5Qy+ZbbHMUBQ1yd4INnnM7TT5svpk63K4YCNWzavDl+kKk6O5pAiKzgNPjdjjIvKChgcMCgiByScV9BCd2hEJ7S6omFNjsaVwp2lPdkvCxGApGbk0PEsCWejpFRWFrG3lHiRgakb6Unk9PuoqvGGTb0DMa3zJzKVFJeSVfMOWkk41OpuO3IlJGRQUFBAb2aDBDpxE6WVFTSHhmLx66lmlNOxmA63tqMjAyUzDDOPHnxk+pCUFRaTteYPXVsRRwms1WdcG8ogj9bn77Rie5TSJ6PQEGQtg5lNyRQHaCkcjw+t5y2yYikXvHWxoRrfX295OUrGYLMywpbQyV5wuOhtLKKlvCITk+o/yaLUZ4OdHZ1UVhUTEPPoCMDQx17NaXjFJSW07h7N/6qOp0+nyo4HZeDkQiZWRM7GE53zsJlSmhfNLeQPXv2xNfeZONuP8DjwElCiJNiGQZuAR5M8Z45C5e4muC0k0+ivr6ettY9puECdqBafv6yWnY3NpJZPs8ys8BkTmo6XWgL/Fnx08Lq1pJdqDIJbwbBklKa29rjynuqt2GcyOXz+YhGowmpbpwaGRn5RexpnVCyyTwpVjC7b4e8msck5xIZnCDkgQ7pWKaS8gp2NzfrFlmzNtuFk/FpJlNhYSF9vRPE1QnJU7cAfYVl7NqtfL+ZTNNJyK1iKIWYiIO368lT5xNAcXk5zc0tEzszMTI+W9ub4fAA2dnOd2UyswriJA+gpKKK9iHFyLBL6qYr7jAU2stoZna8+IVdI1AleSqq5i1ga339tBEiJ/K3trdTUlYW/9vJ2FPnU35xKaHOzngIhKrPp2vspZKvPxwmJyc3Tsbtwjj28kvK2LOnJU7IVcwkge0a9tASsfcKjRgLU9mHlDIEfAr4HdCEctr/VgAhxKVCCIfB3Ps2DgjiGh21VytYhc/n433vex/r1/5Hdz2d7TJvVg6BggKaYluJqkIwTh5b20g2PCupFtrc3JyEAztOyRBAaWUVbQPK7zpZL0M63iKYCIEQQijeyZhc6XgeQFHgja3tthakqfYiq9CGdSh9pRgZTmTSEiJvsISGPW1xmawWIztypCLkljG8GpmCwSB9sW1JJ4uSVqZgeSU7mvfoZJrKRdZpnLVaYAQUT54dQqSOO9U7VFxWQfOePSn7abpglDE8MEBOjkJcncikJUSg6Ildu5vi8ZN2SYOVMT+Z+P62tla9LcOvAAAgAElEQVQKSxWSZ9cINJOpan4d7+xQ5mJ2Ze2Me1m1aGvvoLikFEh/7DWGoai4hK4xryMDY7oQDg+QnePMaMovW5HQT/mlZexumhgfZjp9LoYLWEFK+Tcp5QIpZUBK+enYAS2klL+TUi42eb5OSrlu5ls6eRwQxDUdXHDOB/j73//GXovKOMmQYKHXLWBX90Dcm5KOxZdwQtMQH6aF5SGo9qaEQxdOybiq7Eorq9NakBLa5OAUarJFKicnRxd3m04wf7C8kt27lWJsU13P2ooMppZpwshwGpPXFIKCknJdOWOjd9xKcadLylMRiWAwSH/fBGFwKhNAsKyCpqaJrU3jdq1TTMZoApW4OveWaL1DRWXlNLYqJXFVmaaUjDuUMTwQJjsnN/WDMagET5VJrTRYWlFJQ4uSHcMpyUvHGLSClJKWlhaKy5Tvt6P3rGSqnFfH9u3b8VfV6VItpUP40jXaVTR1dJKRF2RH96gtMm6USc1RXlu3gO07dpjq85neYg8PhMnJVcaeHTKeX7YCb54iU7hMxPspECyit6eH4RElrMNMp882SXeRHlziSuIBLYCFdXWcc845/N9dP0o4BW0H2kUpq7iCbTGSp50ok5k06b7XmNzZLoxkvLisnF1tEwut1pq1vSU4hdbu+Pg4Xq9XSdRv0/MAek9ediCfvr6++Onuqd4GdLoIj49H8XiUKerUmwKxAwqBAH19yklqs+2ySXvLHcbwDg0N4cvKAtKTCSCnoJBQaMJda+wnpzLZed5KptHRUTo7O4n4chyTBy0Kiorp6urUZRZQjdypGINOf5PdbZ1k5BXYkslIhlTjFqC4vILm5hYdycuuroi/LNtbWRt/pYIdr2trWzsZPh8d0QzTUtdGZGYVEKg521Sm4fwSdjTs1Lc1zXmU6ndI+t7yWjZt2kR13QKae2RKMq7tJ61nEiBQUkZzLMetVp9P19hLpgtbWtvIKiiMj71k0IYHGGXyeL2UlJXSPZ4RJ+TaseeS1rmLjNluwEzAk+lz9HykvYns8lquuuQiTjvnQ/Ha6Ha8Q8ZFFqCwsoadOzfDUYssFbF63WpCZ1dXOCJ6I+3NOm/A0J5G/FV1FOTnx5M7N4UcFlPQkPGRnCCd77yJv6qOvg0v6NppF3ZkirQ26X4zVa6h1kZd+pb+/n66x5XFJZ1YUIBMv58BQwogbVunC8a+UjEwEKYv6okpcGFbJtXzAODz5zAwEI73kyLH9G+PWfVTV1cXo1m5jmRSF9twmeDwYsgtCNIRy0XsK6/RzZmZXozqG3ZSWl6BLyuL5p4IwdDOtPLPhDOy4yndlO3aJt3cSFqYIMUcSlXUwEwn7d69iyNOOZN1Pam9yVrSaiQPxeWVOo9/dmWttY6zoRud7IRox96mLVtYdNDB7OgeTan3VNIKifIA5OQHiUajRHyB+OfrxqCNNiYjblbv1+oJf1UdQ8PDbNu2jXddNp+mjSm/0pK0guKI2LmnDf+Z73FcSEWF2Ti0axRq9d879TuoXHgIm2Jjz0pHqP1kJo+Kispqdrc0E8xJ1BUzgU4xRoZIXhVPxV4xJ9J17RM4IIirHajETkWkvQkBLFu2jE1vvgmY58I0g+pNUclDYUUVr61+SlE2rY3K58cmkFFJJSOwqhKYjKdSrQPd0JM8nZUWZh6ivOIS3orF7VpVJpkuGBXd6Ogoo6Oj+LL8NPcM2yYPRiMjM2uCuKpKbiaJkJHkhcNh/Dk5NDfLtAmRLzs7ISeiiqmSzQmh6OjopKComOYmezKZGYJZObkMDw3Fc7mabgGapV+ahkVry/ZtLFi02PZBEiuvV25BIZ2awiBxPdDSlrKftPeNuiGdPvaX1bBt2zYO/fClNNUr2+pW/aRu04I5ySsuK2PPnlaySqt1Y9spCYXJhe+8uXU7CxcfTB+xEsMWnv5UpBWUmPqa2loaGhtZlGbbkhF4u3hr4yZq5tfRFPHS3OmhMgkZ1/aTCnVLHaCotJw3N75hfJsjGNendMZednkt77zzDicddwZNLdZjzxh7rK61qkxq0aDyykqamlt41ynHM9TaOOUhYC5mBy5x1UANGdAS2MMOO4w333kHFqUmrmaLLMBIJBI/6KDd1ko2ibT3jArOrkIw83qNjY0hhIhvqVsp8FQId4coLCy0vG+Uza4n2WyhTrXI7Wpqori0lJ29EV7a4k2qwJOhq6mRefPmARP9pG3PdJIhIxkfHBykp7eXTplp2zNuZmB0Ne+Ky2SFVMo8XRmNMrV3djIYiRASfppC42nFtwL07+0ikJ+PLzMTY5JCu3MK0ivAYJxPu9o6qaiqjs8np2NPXWiHBsLk5eUltlkbWmSj/WnFWRrmV3hggKHhYQLBIsD6YKtKhrQET7ulDkqxiPHxMd0BNpj6GHKtXjUzpLu6OsmrXZQ0k4qZB88oj4qc3FwGByNgkXDG2AazcAajk8Lpb7K3u5vikpKUz5kZF+EyQVDzjMfrTauPpmoMahEKhQgUFkOL+X1Vz/XXnQkk9pEatwuQXxCM53L1V9alXbHRxb4Fl7iaQOt9HR8fJyMj0/YJaCNxABjraGLp0sN0sbSqUjBTssbJlSqMIBmM5GFn4y6C5VW2U2FZkfFw4zaOPfZYhvY0MtLenHKrLJUn2Q55tfrs1a+sZ9Gy5azZOUKgw+Mo16l2C7r71Xc49fjj9P2UhLSmkssMdhepl159lYOXLGX3gIeeTYKMNA2M7h1bOO+UlXGZtN4QuwulHe+QHQ/a08//l0OPOobnd4/Ts8mTUiYr72S0bRdHHXmkLgWV2k4V6RAHOzDOp4GBAUZ8OfH5lGzsmRkWoHiHfHtCzJ9vbhynGntaTIUh1dPTS35BQZyMm+2nJCOtNaXjcfIgpURKGY/V1sLJTo3TcsvGz/d4JohZMNSA2R6E6sEzI6ta7yQAQiCRpqVfzZBsPDohrNr35QUCDA4MEMQ6H7JZDKhRvkWFmQyGhsmKxZ6rRpnxN1dlsGr7VBnxHo+Hhr3DNHfmUROTQQ0XSEVajcjOzmYgPBFqMNO7g53RiK56VzKEokOpH3IBuIezAH2da221qaE9jQwNDdE3nvrEsJHgaRV62+5dLF20IOE9VpPIV15jei+ZgrOrNDbvbCSrtNJWeiVVJnWx7SleSE3pODVBQVNDPUcvXZK0jWZy2D1wkeq0+0h7c7yvXn55HcFFhzpO/q4lETVBwa5tW1ixfHn8e4wyqfJY9Y2TBSjVaf3nXlxHwUHLeGmHdJyAW9dP9VtYsfxIhlobTb9LK5OVbDD5uD2A1atXU3rYUbb6ycxgUmVqb27ioIMOMn2flQyp+i7Z38kwMDBAVnZ2yvmkHW9mcYbdnZ1UVFQmtMNsPqXqp3S9mSoh6enrJS8vX2fcqv2RmVVgy9OqQkqJ1+vVleg1a7+/sk4XSmBEuoRD1REej0BGo5a7F/llK+ivOzMpEVLJ+MJgDllZWfFDj+lgKghUIJDLQDhsedjMTtiDCimjRKPmn2Psr6nUgVoMtTYSaW/Ca+L9heSHAGtKxxONCyA/GKQtdojYxf6DA5a4Gomq8R6ALKrg2X8/x1jpAno2OfPkaZGbl0dXfzh+stY48VWlbVTcTpWbVQojLcnbubORworqlOVDrTytKjIyMpEWis7Y9nSVtN1Y3l27djGQl1omK6gKT8goItxt63DCVFruZv1UX19Ped0i2zIZlbqKkeFhMiN9umuptvKmyyuxa9duSmvrbMtk5p0E8Pn9DA3pvRNOFsxU8qVKw6Ttp6GhIXrGlAXUSiYjaVWhXXhz8wvo0VQUs4PpGIMA0fEoYyYHssw84OEykZTseTwe5i1YyJZt2/BXJeo4o96z0oXpQCXiQ3sa8Xq9RKMTxCa7YHFcx6lEPJX3TkVDzyDLVxzLcy++RHZ5bbzdZjJMlSxaqHIJIZSar0wYTVoDQ+twUGElY+W8+Wzfvj0uD1gTVO39ycB46FaFx+OBaDRuNKl9pR17atorK8KqovSgw3j11VeQecUJ4286+sbFzOCAIK7R0ZEEr2qqeuz+qjru+fNTlCw6hM0jCx17vbTeF09hOWvXPs/ent6USm2y5DUV6hsa6M8pS7q1pCWtZgsuQE4gj00NjXEy7tTatvtsKvIqpaSrK0RWXkFaZV518GQQycxW0pbZaJ+dvkn3IF1zSwt7M4smLxOCaG4wLlOq0IfpwFBrI+PjUfZ276VtPNfWlroK47gDyAsGeeeddxgbH8dfOZFmaarnSioCO7SnkeHhIbyZmZYlRK3CA4woKitj06ZNjAeK4jJNhfHnFEOtjXi8HsZjVZRUPZZdsNiUtKZCQ88gS5Yexl/++Qz+shpT8moFo36czG/g9WbQ3p9Ytl3dSldlSkaCtKhcupwXX3qJTZu3xMMFZpIEDbU2MjIywrjQL+FWJC+ZgbGje5TisgpGRkd4+bX1jvpoqqF6WtUSyqDoAKM8dhHIz+eQpcu4/7HH49dmULbh3nF7GQWklMSeHZ7WFu0nmDHiKoR4XghxXOz/QghxhxCiVwixRwhxlea5BUKIF4QQESHEy0KIQzX3LhFCNAsh+oQQPxdC2IrRlaMjCQQ1WYL14IpTuO+p53hq9X9ZX3wJ408+S/eOhx3LHOiQNIUg4+B3UVgznwuuvZ6HNu4mUnGQZWxUuqlIzGCMo+0cFUQiEfZ6SgiGGhLIgzY0QH1pEQw10NzppblHctAp7+OPDz/Eo/99neCKU8hffqLuWa0RYBaflm48lEqQVZk6RqCgMEjrQKbtzzB6k1WZDjn5vXz9uzczWLGY/OUnUrD8eEuvgNnfRsTLxKZKV2Top9C4F4/HQ8doIK1qbSqaeySLjzuZm+/4CYFlx5nKZIZU/eU0abq/so6WgREKS8rYE/YmNQKN4Sk6eWL9VHDo0fSPjHHjz39DYNlxOvJqB0b57MTvmoZZVMzj7Y2bCOdWmJJxI2k1I+Gg9JOnahGViw7m0s9/gZGaJQRXnKKTy6xPLAuNGCuc2egrdUz4K+t4deNmcsuqdHH9aoJ3u6S1KUR8C/uEcz7KhrfeZtVtPySjqEJHjJLpO+OOWLoHa/xVdby+YQPDeRXx3MGR3nqdjtMmrrcir6pMO7pH6Yhm8InPX8vnvvJV3m7W5981tttMRq0sTot9+Mpr8FfW8czz/6Vo/mJe2qLfwUiH5O3sjXDhNddx3ar/5bWGZlvkdSr1uorNbd14s/x0jOoPKhrlSWVgqP3U0DPI+y/9LA8/8gjPvtOQ0E/TjFtC48O8FtlL99gw/eMjpq+9Y0O8EtlLJDoG8LPpbtT+gGk/nCWEOAv4MKBlNpcDZwBLgSLgP0KIl6WUb6DU2l0DvB/4HPBHYLkQ4mDgp8AHgHrgz8AXgZ+kasPY4AB7X3s1/ne4RQnN1yZhV8mQd8mxrLrvQdasW48v/0Jyn76LPtNPTY1gqIGeTQv5c6ef45d9hMMXv5s1r/+b3//hD3z6sk9z0anKQSB1AtkhDFqEW8KWideNZCijrJaf3v97Fq44nl3deu+QmYfViPH+erx5iwl0SF7CC0sq+OC1q7j/3tvp6OjgCx8+O+7JVhE/mW+izMxk0cIs8bVRJn9lHQ89/SzzDj4Ue3atOQIdkqZSoOYkDjpxjE989kpWXfdlTlpxCj3rV1uScLtyBaoDlilizGS6/6mnKVt8KM17FSWdTk5axQM4zrtPOo+2v93Hx6+4ih9/ZxVqHghVDruLjxn5MZNJe0grPvbKa/n9A49StnjJpLI+gEIeXkRw6hVf5sXf/4KPfvqz/OR736Wyqo6e9astZUpoewpyZ9VPoMiVVTGfh59/DW9OgLd6y8lrfIa+4V7djoXVboWKQIekGaWfdgbHOeqjl7Lr+af5+OWf5Td330WlZpE17giZyZBMnlTjT5WrNaeM+39/BwWnfzqeJcHYficerx3do1CYyRXfvplH77mDm+/8KTd86uO6Z5IRiFTzzSiDFmo/Pf7K27R1dvJmx1Jqtu6gOzafsjGPN04FhZCPsmjxMi665jqu+/YqHv3tr8kyPJeKdCftP4tDnCpp3RjJ4C9P/A3fuTdTs34H4ZjRZMe7r4VinMTkqVrEpV+5nhtu+j4/u/1WDomlb7RrIMWvO0zJpuqJgSUrufFbN5K1/H2s25ZJTWhHfN3Rwq5XXEV3Ri6f/tq3uP3W77D8/35FiSYt5XSSVyllHyAO8QXk28N9LPblkufRU66e8VEaRgeZn5nNO8P9zsvvHaCYiawCJ8a+R8tMLgZul1K2AC1CiD8CFwghQsBRwBlSymEhxI+BbwkhlgAXAI9JKV8EEELcCXwNG8R1ZCBK42vKNlFJ5TiB6oCOrPor6/BX1REa83DeZ65kvPIoMr0r6d315KSFVzxmCxWyxzxqDrmUo0/4IE8+/ks++Z53MdTaSO+GlwBrz4iW1HW1TpDOkspEEg56MuSvrEMsPIJLrr6GkAjQX/g5Mh78RQIZShXTalQeisILcu513+Efd9/CeWeeTnEs3UikdSJ5upGQmkGRyWta4lJ7+l1L7gqPOonv/eRu/rX2BcZOvpa+tZ44eUgHKtGrWX4aZ8xfyI/u/QVVP/ox1ZoUKlrjR0Uy+bpavfE+UvvHLL2WKldwxSn89E9P8tS/n6Np2VepePJZ+jrWpyWPij39Xqo/9DkCO9bxxeu/xV9/fz9A2jIZoZLyZDJ94ba72dnVS1fB1QT/dY9lH2nHoOoRs8KusOCky66h8/X/sur2O/j9PXfhr1SKLGjHXypYGUxW+VN95TUEV5zCDx99kqf/s5a+si/q5pP29LMK1RtmRWBBJUNjLDr5bPIKgvzhL3/lqxd+BFD6Su0n7Xx32k9Wcql64o3RHG645svsPeiTjK7ZQ7B3rULGY32RrP3J5VLI6/mf/zKP3HsHoznBuFxgz0uXLLm9WUYLVaafv7KNJ5/5N56CC8l96jZdTtC+jvXkA8SIa3Onl5rSccuwDyN2dI+yqHoR537sAt5u2MUx/tQy2fJ+GwxB0HvEXxvy8b+33MpQ3bVEHvk/3XtHO9aTX7Yi/rcaEmbX2JBl8/jYlV/g3y++zPLPfRY16trOnDIbj1ZGu7a//JV1tBYv5DNXXEH0iI/g2TBCsO+euIGRj37uqP1jh8Du6B5lUWEmVfMX8PFLLmPD9npODCobzcZsONOFrSNhIYRYtHN0sL7Qk0lNhh8J7B6LEI6OMSjHq98Z7t8z7Q3ZjyDMTu9NyxcJ0Qh8Qkq5LkZQT5ZSborduwrFA3s/cKOU8ljN+9YB3wM+DTwnpbwndn0J8IKUMmUiu2OOOUa+9tprKdsopWTbtm18+A+7CZuQu2TQbgtuXX+b7fcZcWXQ/LS0Fr/q2e7oM7saG7j3qed4YWQezY/vItz8T0viakUWksk0NjZGRsbMZ1ZbvXoNa7qGefgtoaRXevNe2xkFdtc/lvSZ4eGJ9DAzifr6er63eht/Xu+n8pWnbRFXte9SyTQyMoLP56yK3FSgpaWFqqoqqs9/LmkfGT3/dudRNBo1Tbc0nQiFQuTn55OZmcm8xR81nU/GueTNW8w7q6+w9flSyoR0X9ONSCRCJBKhqKiIQ1Z8g0hvfVwubSYBLQnq+/lpM9pGp+jt7SUnJ4fMzEwqa89IuG/MJlBTOs47N713ppvpCKOjo0QiEfLz8wES5DLL+rDnsdNntI1OIaWku7uboqIiAN2c0ubXne2xJ4RYL6U8Js33ZtZk+EfC0TGiQJEnk8axiFdqA3pd2MJsEddRYIGUsjl27yLgUyjE9dNSyjM07/sX8BsU4nq/lPL3sevVwE4ppelKLIS4Ergy9ucywEZRvDmFEqBrthsxxXBlmhtwZZobcGWaG9gfZYL9U65DpJSJlUIcQAhxAjAkpXx9itp0wGG2ChD0oIQYqcgBuk2uJ7unXjeFlPJXwK8AhBCvpWsl7atwZZobcGWaG3BlmhtwZZo72B/lEkKk3rpNATXc0UX6mK10WFtQvKAqlgJvAluBQ4VQcnzE/j0EeCvJe1y4cOHChQsXLlwcAJgt4voH4KtCiCIhxLuBi4BHpZT1wDbgK0KIbGAVsDF2iOsh4JNCiKVCiKrYvQdnqf0uXLhw4cKFCxcuZhizRVz/D9gA7AL+BFwrpVRPHF0KfAzYC5yOEvtK7CDXt4B/A+8Az6HExNrBr6as5fsOXJnmBlyZ5gZcmeYGXJnmDvZHufZHmeYcZuxwlgsXLly4cOHChQsXk8EBUfLVhQsXLly4cOHCxdzHfk1chRBnCSG2CyEGhBCPCCEmlcZiNiCE+JQQolEIERZCrBFCHGK4/30hxD9nq32ThRDiMCHEsBCiQgiRLYS4XwgREkJ0CyF+L4TIne022oEQ4ttCiCHDa1QIcWmsvHEo9npgLo1DIcTVsfHXK4T4lRDCF7t+seb6X4QQwdluayoYyk7nCCF+Gysf3SaEuEsIkRm7Z1l2el+DVibDdVO9ECu3vVYIcf3MtNA5jDJZjTUhxLFCiFeEEINCiAYhxGdmr9WpYRh/BUKIh4UQPbG2f1zz3DFCiPWx8bdZCPHB2Wu1OZKtS0KIhUKIzYbn/THd3ieUsu1fmvlWJ4fTtTZ2RuepGL/YJIQ4MfFTXUwH9lviKoQoRCkX+zWgBhDAzbPaKIcQQhwE3AN8HigF/olySE29fxRw3ey0bvIQQnhR4p3VXLz/A1QCC4BFsf/PCfmklN+TUvrVF3ASSiaMPOBDwAnAwtjfN81eS+1DKPkGv41SZnkhcDDwDSHEcuAO4JMoc8sHfH222pkKMQP2F+jLTl8PLEHJTrIceBdwdeyeWna6HCUG/48z11p7sJBJvZdML3wRWDmdbUsXZjKlGGu/A+5DKa70SeBuIcT8GW20DVj01Q+BcRSZLgX+L0b4BMqYewwlD+o1wANCiMoZbrYlrNalGBm/HHgUZb3V4vso5d0XoJRzv8lIDGcTaa61dwEdQDVKkaQ/qYa9i+nFfktcgXOB16WUj0spu4EfAJ+Y5TY5xWnAf6SU/5BSRoAfAUfGLL1MFNI3l4PFvwKs0/w9hqLw1JqLXpRDenMKQogMlIODX0BZrO6VUm6VUvYCP0M5dDgXcB7woJRyk5QyhKKoPw5cDvxCSvmSlLIfpTjI72axnalgVnb6vcAPpZTNUso24P8Bpwsh5qGUnb4pVmv8x0CdUCr17Uswk4lkekEIUQdcBfxl+puXFsxkSjbWxpjQFR5gBBicobY6gZlc5wG3SCnDUsoXgNXAh1GMw0LgB1LKASnls8Am4PiZbXJSmK5LKM6GEwBdbVihpLW8HPiSlDIkpXwL5TfpnNlmJ4WjtVYIkQWcD3xbStkjpfwjijz7dim5/QT7M3E9AnhD8/dGoFwIEZil9qSDx1EsbhUrUBRzH3ADSoaFOVl9QwhxMMoitEpz+R4Ua3cvEIr9/76Zb92kcRWwS0q5FkW+32ruHQPMlbrUPmBY87dA8ZisADxCiNeFEF3AbcD0F/1OE1LKVVLKz6KMKRWfBZ7R/K32y5HAZinlcOy9URTPuXkt5FmChUyQXC/ch7IDlVhUfh+AhUzJxtrVwE+BUeBF4MdSyn2JDAGWclnNrSbgRLUMqBAiH4XM7ks6w2pdeism5w8Nzy9CMTA+HgsTaACOklLuS04Jp2vtwUBYrf4Zwyb2MT2xv2J/Jq75QLyAeGwhGotdnxOQUrZLKRsBhBAfBf7GxBbnBcB3Zq1xk0DMAv9/KBb4gObWt1AW1UqULbQ+5l54hwdlS+lGACllvZQyJITIFEKsQlGC/zubbXSAZ4ELhBB1QogSlFAOL8oW5vko3teDgXnMkfAHFTEvcr8QIlcIcTfwERRSpNMbMfQzB/SGEGIZFnpBKCWw26WUT810uyYJ07Gm2dX4JkoVxbOAbwohDp+thjrEs8CXhBLXfxJwBuCVUg5KKd8GEEIcAawF1kgp1yX5rBmF1bokpRyzeEsJSohUNUofXgz8LBYGsk8gjbV2zuqJ/QH7M3HVlYiNxZ5kkKRM7L4IIUSJEOKvKNu0nwHuBX4NfDG2pTEX8QVgh5TyX4br56FskbXFik7cirIgzSV8EOiQUr6qXogp6A0osaLHSylfnq3GOYGU8u8o5OC/wKsoOxgdsdu/jJHyvSgxiHNui0wIcRqwGSV+92gp5U6Sl53eZxEzmEz1ghCiGvgGcO1stG0KYDbWjgTypJQ/lFJGpJTPAP9ACQGZC7gGqEPxpP4AJaayA5RQIyHE94EXUOIs97kQN+O6JKX8mY233Rgj5i8CTwPvmdZGOoTDtXZO6on9BRmz3YBpxBaUOFcVhwLb5xLZE8qJ+hdQtsGWSCnDQogClBi8fyhx/HhRttLapJQVs9daRzgF+KAQQquQG1G2WrQYBQaYW/g0yuEEAGIeoDUoh5x+JudQ4mQhxELgL1LKm2N/X47iDS8EMjWPeoA5M69AOTCDQgquklI+rLkVLzstpYwKfdnpfRl5WOgF4EqgFmiK3csEokKIo6WUH7f4vH0FjZiPtUFQsiRo5tRc0heLgUti5y8QQqwFXord+23s/pExY2qfgtm6lOItjbF/91md4XStRQl/KBRCFGlCHpaihLu5mGbszx7Xx4GThBAnxTIM3MLcKxF7EdAqpbxcVQ5Syl4pZabm9PoVwL/mEGlFSvlRKWWWRgZQvA9/QTm1XimEKAW+inK6dk4gdiL4ZJR4KBU3AHdKKe+eS6Q1hhXAo0KI8tgJ4OtRDik8BFwthFgihChCOWT3cJLP2Rfxv8CXDaSVFGWn91kk0wtSyieklD7NvQeAVXOAtIL1WNuOEjP61dh2+4kohx7nSijE9cD1QknL9imgCvh37HT7B4Cz90XSGkPCupQMUspWlJCHW4UQgVi2kpOBv09zO53A0VobC3F7AvhObPx9BsV4nBO7aXMd+y1xlcop6E+hnEBtQtmGuXVWG+UcR6TEB/wAACAASURBVADvEUKMGV77XMqXKcJtKBP/DZTDdG+ibNvMFSxD2T7SeueOAFYZ+q9+dprnGI8xUWJ5LYrH+N8oHqGfa+69ipItYS7hCOA+Q7+oBodp2WkXs4LfYjLWYvGU56GEEnWgnPi+REq5zx4SNODLKCfru1DCBj4ipRxFCYEIAl2GsXnpLLbViHTWpQuAYqAFpa8+KaXclw6cpSPTl1BiYPeipJk7X0o5PhONPdDhlnx14cKFCxcuXLhwMSew33pcXbhw4cKFCxcuXOxfcImrCxcuXLhw4cKFizkBl7i6cOHChQsXLly4mBNwiasLFy5cuHDhwoWLOQGXuLpw4cKFCxcuXLiYE3CJqwsXLly4cOHChYs5AZe4unDhwoULFy5cuJgTcImrCxcuXLhw4cKFizkBl7i6cOHChQsXLly4mBNwiasLFy5cuHDhwoWLOQGXuLpw4cKFCxcuXLiYEzjgiKsQ4ktCiAuEEFss7l8hhLh4Gr+/TggxFPtXCiGeNHnmz7F7dbG/5wsh/iKECMVeTwghlmiel0KIMZPXSs0zXxBCXG/VHs3nVEyH3C5cuHDhwoULF5PFAUVchRD5wKVAV5LHfgdcK4TItvF5PxBCRLUk0iHG/j975x0mSVXu/8/pPN09eXpmdzbnBXaXJSOSMxJMKKAiiGDkKt4r6DWQEQx4UbzqRa4I/kRFUIJExQuSM2zOy+7M7E4OPR2nw/n90d1LT3dV16lOs0h/nqef3ak6VXWqq/rUt97zBuAIIURj1j7dwFHpdRn+BLwGzAIWAi8DTwghbFltZkopbTmf57LWnwU8VGQ/a9SoUaNGjRo1ppz3lHAFLgHuBxKATQjxMyHEsBDiNSHESgApZRT4P+CiQjtKC9tPA3cAXzFoe4kQok8IMQR8MWtVAvgHcEbWsg8Az6TXZYTsIcCtUsqQlHJESnk98ALQoXLSQoh6YJaUcq1ef4QQa9LNu4UQSvutUaNGjRo1atSoJu814fpRUkIRYAGwHZgJ3Af8QQiR+T7+AXzQYF+fIiVwrwI+IYRo1mokhFgI/DB97AXAvjlN7kuvy+7jfZk/pJQhYC1wnxDiPCHEjPTyc6SUPQZ9zHAq8Hih/kgpl6XbzpRS9inut0aNGjVq1KhRo2q8Z4RrWpQeQkoEAuyWUt6cFoY/BGYA89PrVgFHGOzy34CfSym7gSeAi3XanQPcK6V8Vko5Clybs/6vwHFCCI8QwgmclF6WzYnA68B/AjuFEJuEEF/IafN22nc283kra92ZwIOK/alRo0aNGjVq1Ngrec8IV6CV1PmOpf/enVkhpYwBA+k2AMOAJ+0Tm4cQ4vjUZnt8SH8KXCqEsGo0nwnszPp7V/ZKKaUfeBY4DTgZeEVKmekjQggB9Espr5BSrgCagWuA7wshjs3a1VwppSvrs396eyvwPlLuB4b9qVGjRo0aNWrU2Ft5LwnXTCCTSP87PbNCCOEg5S/alV6UzPk3l68A/535Q0r5LKmArw9rtO0DZmf9PVujTcZd4KPAn3PWnUIqGCtzLL+U8nekrLz76/Qvm/eTEsOZYC+V/tSoUaNGjRo1aux1vJeE6wAQIWWxBJguhPhienr+cuBVKWXG+tgChKWUgdydCCHmAUcDv8tZdStwmcZx7wM+KoR4nxCiCfi2RpsHSVlbTwceyFn3PDBNCPFNIYRPCOEVQpwKHJdeZ8RZvOMmYNSfBNCmsM8aNWrUqFGjRo2q854RrmmL48vA8vSi10ilnRolZSn9XFbzZaSi9rW4FPAAG4UQ3ZkPcCPwfiHEwTnHXQ38B3AvsJF0kFROm+F0f9ZJKftz1vlJWV2PAjYAPaR8XS+UUr6S1bRbI4/rWaQCsx5V7M+DwGtCCJ/OudeoUaNGjRo1akwZQko51X2oGkKIrwONUsrvGrS7EeiWUv53oXY1atSoUaNGjRo1qsd7Tbg2kUphdUiWz2duGzspy+z70xkHatSoUaNGjRo1auwFvGdcBQDS6Z/+Bzi3QLNPAr+sidYaNWrUqFGjRo29i/eUxbVGjRo1atSoUaPGu5f3lMW1Ro0aNWrUqFGjxruXmnCtUaNGjRo1atSo8a6gJlxr1KhRo0aNGjUqjBCiTgjxX0KI69OB4DWK4D3h49rc3CI7Z8xQamuTcTZv38HMWbOx2wvfVzve3s7MaR04nY5Jy3f19eOuq6OpoR6A+HiqgqutvjH1t0gV8QqFggwPDTNz1ixT52PLSoiQ2Zce0WiE3t27mTN3ntK+w+EwgwP9zJv1zve1o7sHX0sLbned5jZ6feju7qKhoYGGhsa8dWbOQYvBwQEsFgstLa0F2yUnIuzs7mHhvDl56/oHh7BYrLS1NOWt0+rT29u3M72zE6fTabq/RgRDQUZM3AtDQ4MAdOT0vXt3L43eeurrPcTHx/bcczD5nMLhEIODg8yaVdnCaYFAgLGxUWbMmKnbJvte6N7dS2N9PfVeDwDRiRjdu3ezYI52P7Wu0/i4n8B4gOmdnab7q3JfDg4MYLHm33s2jUQlA0MjICW+tpZJy7ds38HsmTNw2POPoXfcLZs3MX/BQiwWdXtDpk9Gv7H+/j4cDgdNTc2a67PPbWTUT2QiyvT2/HTPb3f10N7WirvOlbdOqw/RaIRdu3Yxd948xJ6ihmpofd/ZDI2MEo8n6PC16h4/s48xf4BAKMiMaR35fTS4BzPofcdG361en3IJhsIMDo8wZ+Y793XmmHrbbNvZRWdHB66sZ1QyKdm0bTtLF87X7YPR/RIIjOP3++nszH+uGl2X3H1v37ZV6XkL+eN+9rF29fbjcdfRmH7uqhwboM6lPp6/9tprg1LKovKct007XI4Nr8Pt6SSZjBONDBKbGFsopdxazP7ey7wnhOt+y5bLu+/NraSqjS86ynlf+iqXfeu7zF+wsGDbz3/mAn70ra8zf/ZksfGNG77PycccxQlHHgHA8LMPA9By5OkADDhTYqOvdzeXX/YV7vrDn0ydjy86OunvzP602jz4xN955a3VXHf51zTb5bLj7e3ceO013PeLW/Ys+9jnL+Wmb12hO3Dr7XfjhvVc/e3/5Ec/+RkzZk4WLtnnoNKvXH74ves58JBDOeGkkwu2S3Rt5rNf/yYP3/W/eetuuf0OWpubOf+jH8pbl9sn/9gYn/nUedxz/0NYrVbT/TXi8UceZu2a1fz7Fd9Uan/3b+8iFpvg6588e9Ly/7j2e5x54vEce8ThDD/7cN49l+GpfzzJC889y39+96rynIAOzz/7DH9//DGuvO4G3TbZ98JXr7yWj5/5Ad5/SKqOx/adXVx+/U3ce5t2SmWte+f/3XkHiUSCCy662HR/Ve7LO26/DXedm3M++SndbTPc+us78Xo8fOacydfpQxd9np/dcDUzp0/P20bruPF4nA+ddjIPPfEkQqgJPDPjxHd/+F/sd9j7dX9P2fv63Z8foG9wkH//3Gfz2l1w2eVc8cVL2G/J4rx1WseXUnLp5y7mki9+iZUHHlT4hAr0SYvf3/8QPb19fP0LF+seP7OPex56hG07d/LNL38hr83aTZv5/s9+yV0/vbng8fTul1t++AOW7rsvp55+RsHtc/uUy0uvv8md9/6Zn3/v2rxj6m3z0Uu+xM1Xfou5s94Zf0PhMKd84kKe+csfdftgNCY/+8+neerJv/Oda65T7r/evs8/52x+fOvP8bW3F9wO4JYf/YAlS/fhtDPOzDvWtf91Kyv324ezTj5R+dgA+y9dZHjcDEKI16SUBxu3nLSNqG9anIwEe2ls2Qeb3QvAxMQY/pGNeLyzGB1ea+6t7T1OzVVAg3qPh2Agr9prHlImsWg8REKRCC4Fq1ybr52JiQneeO3VovqZIfvH64uOTvp749ZtLFmgZm0FcLs9hELBSctGRsdoacq3mhqxZOk+nH/hRVx/9XeJhMOmty/EwMAAbW2FX3x90VGsVivJZFJzfSKRwGpV+wls3LCexUuWVkS0AvT27qZj2jTl9laLBddE/neaTCSV+jg0OEBra+Wr+8bjcWw2dYv6xEQMh/0d65AQArMv1z1dXcysoCXZYrGQyLmn9B7WkWiUOle+9dFisZBMqp9XOBTC7XYri9ZCZMaI7D4HgkGmOyav02oHEJ2YwOlw5O4WyPym1H8jQghOPf10Hnv4r8WdTAGsViuJREKpbTAUxOv2aK6LRCK4NK6hKrHYBA6d78sMSSk1nzeF0LpWUlL6fZTaienNNAWxiV35x8ZobNIW1Varhbji9a4WQgif09WWTMRDtLQfuEe0AjgcjbT4DiQaHabOM10KIRqmsKvvKmrCVQOv18P4+Lhhu2RS+xcXiUQ0H1a5WK1Wvn3VNdx03bWGbY3QesAArN+ylX0WLlDej8vlmiQyk8kk48EgDV5vga30Oe2MM1mwcBF3/vr2orbXY3hokJbWFsN2KYGgJ1yTWDWmXbUG17e3bTO0wJdCf28v06blW9/0EBaBlPnnlUgmsViMnwKjIyM0N6tNXRpRyMJiVshEJ3Ie8kKAyUmhnp7uPAt/ObFarCSTioIoHMZdl+9iIxAkTQjy0dERvPX6U6Aq6I0RAOFIBLeiOAsXeDFPJpOmXBkAjj3hJF5/9RUG+vuNG2dhZBW0Wa3EE4WnrTOMB4J73FNyCUeiSoYIPWLxOFYTL2965L7AqcxURaLRPFc2iSxGc04iUeA6m55BEyi/xI2OjEwSrtnHslqtxON7j3AVQhxms3v76zwzaGhaghD546DFYqOpZT+crlZs9voxIcR+U9DVdx014aqB1+0mHDKuP2CxiNSbZw6xWBy7hu+aFsv3X0k4EiY2MWG6nyoMDg3T4VN3yUkkEliyhEY8kcBisRRtaRRCcNEln+fJvz3B2GjhKSQzpCxQ2g+abAo9SJNS/SHr9niIRMprNc4mFo9jU/DxyhCNRDWtQKmHkvE5qbRRwWhaECkRJoRMJBqd5I+X2t7cU3ZoYACfz3jasVhsdhsJxQfk8MgYrc35sxUWqwWp80Klxbo1a1iyz77K7SFfQBQSFDarlYSiGB8aGaVV56Wn0IuiHvX19Zx25lnc/ds7TW1nhN1uIxZTE66j/vE9MQm5RCcmTPlB5lIOKzmAy+kkqvOc0Lq2yWSSQCDf6GD2ZVKLcb+fhobyGAi9Xi/BYNCwXTKZpLu7a5Lvevb4Y9ZHugqc65txLK2dR+BpXlzw0zbjaFqmHQqQ77dWI4+acNXA43Yr/ZAsFmvelCGkxJ7NxMDgrqsjpCCUi2F47J1pfkORAcRisUlO8vF4HHuJ1oKW1laOPPoYHrr/LyXtJ5tIVFu4Zcica6FBOplMYlEUcI1NTWUV3nlIaeoBFw6HtS1kilY8m91GLBZTPl61COfMViRNfi/xeBy/309Ts3m/aVWsVhvxuJogGhoZ0RR5QgjNsUOPVW+9yf4rD1Bubxa73U50Qu1+GBweoa1FW7iamZ7P5uxzzuPZp59ibKx8vzGnQ1/o5TIyNkaTjhCLRKO6rhEqWIpwd9HCXeciFI4AalbNYCiEy+nMc9VJJBLYrKWN6aOjIzQ26vdBq396ffbWNxAY9xsec8fbb9PQ0GAYkLs3ISxm3GZKt8q/V6gJVw3qvR4CCj6uwiI0rSZm32jdnny/0nIQjkRAouS2kCEWm8Ce5WMYi8ex2Safy/CzD+8JOFPlIx87h4cfekDT11VFUGcjpSQaieBUOK94QeEqsSj6uDY3NzMyMmKqn2aQJgUawVHd66qyH7vdTixemnDN9a3WwuwDOxyZ7BMqpTRlRxkdGaapqRlriQ/mQthsNuJZ312h+3dwRFvkWS0W5e9GSsnqt95k+f4rzXc2TUY06IkHp8Oh/CIzODyMT8dNJ+VnaM7iCimr6wEHHcyLzz1nels9nA47E4rnNOYfp6lR248/Gp3AVYrF1WLOuq6Hy+UiEokqtx8bD2hG2CcSSWXfft19j+r7mmZQdRmor69Xcs1bs+otli3fX2mfNf61qQlXDZoaG/ArvPlbNYI0IG1xNWGlrKtzV8TiOjw6RnNjoylBlG9xLf3tHGDmrFksW76Cxx4xJ3i1iMdiWCwWpe84kUhg03nr1Quu06KxqZnRkWFT/TSDBFMCLRyOUKeRckhVDNlsduKK06ilYua8cl0FpElXg8HBQVraKmuRSQlXY6tiIpHQFUTCIpSn1Ht370ImJaop/bJRFQ92u50JRevkwNAwbS3awtVmKc7iCvD+o47muWf+WdS2Wjgcjj3nZPQ9jIyN0dxYvMW10P6FMOfPrIfb5SIUCeseK3f52Pg4DfX5sQnlcBUYGxulUUfoF+qTFvUNDYz7jS2ua1avYtmKFUr9q/GvTU24atDS2MiognXNYtGOWI/H4+ZcBdyVEa4jo/qDsR6xiRh2R5ZwTZTuKpDh3E+ezz13/46JHRtL2o9RlG+2BSyR1LcuJJJJZV/P5uZmRivpKgCmonRDBYJphHgnBZueZdxun2w13BuQUuYFNpq1uA4PDVU8W4LNZiORDvopZG0dGRujsaFecyywCHVf0FVvvsmKlSuL9pVUEQ9Ou52ognUyFosRCIV0x5ViXQUADjn8faxds5pAwNj6poLDoe7+MDLmL+gqUEpwlkWYs7jqXS93nYtw2lVABf94gEaNgL5Cs1DK+x4dpVExuHPA2VTwHmxoaDC0uEopUxbXFTWLa429RLgKIfYTQkSFENPSf18hhBhMf67JatcihHhECBEUQqwVQhxZif40NzUpiRRh0X6TjscTedPrhahzuwkp+NSaZWRsjOacNFZG0/ITsYlJFtdYLN9VoFgWLFrExz/xSa64/iZl3zPI73MkEsHpdE1ar3dehawLMimVp8zcHg/xWIxIRP3BYQrTU+raFldVbDa7sp+mKmZdPnKJx+MgxCRLulkXiqHBQVrbKi9c4woib3B4hFYdX1uLxaJshdu5Ywdz56tnBikGh6KrwMDwMC2NjbpBjVarRTnIKxe3282K/Vfy8gsvFLV9Lk67Q8mKPBGLEYlGdbMKRKP66b9U0HtOmMXlchGORpVnVcb8fho0hGuhWShVRkdHC/q4msFb38C4f6xgm109PVitVlMpA/8VEUKcIoTYnNZA9wgh8i6wYpsbhBCPVafX5WfKhatI5Yj4FeBI/30C8BXgKOAg4JNCiEyk3U+AfmAGcD1wrxCi9AR5OTR4PUpv/Xa7XXOwjyfipqbX4/F4RfKDmg1sAZiIRieJQqMke2ZTn3zwIx9FCMHajZtNbZdNNBrFmfY5K5TDFlIBWHpR6Ukda56WABNCsGjJEl556cWi+10Is9HYoXAEt0u7kpkKTqeTiAnrTbEYTZNmf9cp/9bJli2tnKmFiEajFalslo3D4SA6MWEo1Lft7GJOoepdigIkkYgrVRUqhYZ6LyNjxtO1f//ncxy0Ypnu+lJTEs2YOZOBgYGit8/G7a4jqJA/eldfP9N8bbpjZaTUe6pMRX5sVit2u005u4k/ENB0FZBFZOrIJRgM4PEYZ3VRoampiZHhwm5YGWtroeeZNJs3712GEKIZ+D1wOTCTlBfWdUW0OQD4jyp0uWJMuXAF/h3IVgOfAn4ppVwvpdwB/AI4VwjhBM4GviOlHJVS/h4YAI4vd4ccDgcxhSmmurq6PVGe2cTi6umwAPr7+mjvUH+TVBWLHW2t9A8NKe8XIJROdJ7BYrGQLBBsYdbKJoRg9oxO+gYHTW2XfZyJiSgOh4kHic54Jk3mnPzYOZ/gj3f/v7JECOdSbwVXSP27DIZCeHRK8Kp0z+P1EgwaByCaJfd+sJiYOg5F8nOemgkaAvB4PEoZQUrB7fEopcvbuHUbixdol9U0k+/UYiKQq1hmdU6na9fugm0mYjH+8OBf+ZRGpbkMKf/f4i35u3p6ypaDt6mhnlEFMb6zp4c5M/X9h6MTE5NTtJkknkiUzd2qobEJv4I/KKSDs7yl5f7VIx4v38uUr73d8GVlzapV7Ld8ueG+ypR5bG/lLOB1KeX9UsoR4CbgXDNthBB2UobC26rU54owpcJVCLEY+Azw3azFK4A3sv5eCywEFgMBKWW3xrqyMeBswumwE4sZTzHV1bkJabzRx2PqfqHJZJKB/j7aO/JrZJdKh6+N/gGTwjUYxJ31Jl1MXkYjpvna6O1Xs6poRa5PpJPUq4jmQpWXklKaEq6HHH44yUSSV19+WXkbFXzR0T1WPFVSwtWdt1zVwu71epUyZxRDdsUlq9VKUlG4hsORPOHqcNiZUPRThJSorLhwdbuVsoBs2radJWUQrsKkj6QRWi++KsL10X88xYK5c1g8X78SXyrpv/b1Vvm9dnftZOasWYbtVGior2c8EDB8cdrZs4vZM/Qt46X6uMZjsbIUIABoaGjEP1Z4Wj3DuI7FtRzEYpNjIUrB195uWHxi7ZpVLFv+ng/MytVGa4AOIYTXRJv/BJ4EXq9kRyvNlCUOE6momP8FviqlDGY9cBuA7F/meHpZ7vLsdVr7/xzwOWBSwmIVHIq+US4di6uZrAKjIyO4PZ6SSgrq1atuamggHIkQiUSV07nkWlxTicnLLFzb29m2Y2dR2/qio6yKRnEoPkgKCVeZTJpypbBYLHz47I/x1wf+wiGHHaa8XSEy18zldBCNpqafjSzqvugowVBYU7iCWmYBb309AYUUNKWSCmRStbjmV5xz2s0Jeq/Xq1SuuRTq3G7CocLTtVJKNm3VF66JpHbVNi0sZfKRLMSszul0FxCuyWSS3953P9/40ucL7qcUi2siEaevt7eo7AmafbFa8Xo8+AMBcOtnmtjZs4tF8+bqro+WKlxNlj0uRENjYeE64GzaM6b4xwMsnDtXs12pFvx4LIbNVibh6mtncKBf1599aHCQYCDIrNlzCu9oL/QUCM0+lrhPTXBHup+BnY8fLITIrgF/m5QyYx1tAHZkVkgpo0KIeHp5wKiNEGIucA5wcPrfdy1TaXH9MrBVSvm3nOWjQLbZxQ2MaCzPXpeHlPI2KeXBUsqDm5uNS4Nm43SqCVe3W9viGjORtL+vt5cOE24CGTKRmkZpWHytLaam5UOh4KSKVBaLpegoYT2mtbfRq+DHpmehcQWG8dq0BWfu9yHQH8/MWlwBjjr2ODauX0dfX6+p7bTIPj+HXT3nZCKR0K/mo5jsvFKuArmYiTJPWVxzhKvTnHCtiquA2zjvcm//AHa7XTc4K5lMTqpQV4hK/AZzaWpoIJFMMqozDf3My6/idrk4eP/C07WFLK5G9O7upaW11ZwbkAFNjQ2G7gIpi6u+WI5EJ/LKppohYTI9oh4DziZThVD8gQCNWhbXEufTpZR5aRNLwVVXh8vl0j2v9evWsnTffZXG6nJVKZtCXs3olvQne0p/kgZKx/fYmKyB9NqMAb8GLpVSVq4EZJWYSuF6LHCeECIihMiYLd8mNfWf7f2/L/BWel2zEKJFY11ZcdodSiVYXa46wjmO8pkHjGqwVX9fb0XcBDJ0+NroH1R3FwiHQrg971jyrFbtlF+lMM3nU3YV0GIiFlOP8jVwFTA70LlcLo478SQee/ivprYzwul0Eo2mkosbTamGwmHqXC7NgVykpXrLkacX3Ee9tzoWVzPCNRQJ51lc7WlBn30NCxW/cHu8hCosyOvcdYSCoYIvjSk3Af0pdTOuAna7o+Kpy4QQzO6cTvcu7ReyPz/yGB8/63TD34vNVnxwVk93V9ncBDI0NzawPaw9fmV+Zzu6e5gzs3KuArFYrHwW14ZG/AYR+Bn84wHqveV3FUgkEgghyhpQ3NbezsCAtrvAhnVr2We//cpynFIzn0wxG5isjfYBNucIUc02pMTrAcCjab31K+AkIUTpFpgpYMqEq5Tyo1JKp5TSJaXMPK3mAucBXxJCzBBCLAEuA+6WUgaBB4GrhRB1QojPAvXAS+Xum91uY2JiwtByVed2EwxNdhWImczh2tfXW9EUH+1tbaYCtFKuAu9YXK0a1h4jUaRF9oDR4WvLswKbGVCi0SgOReEqhNCNVpJJ9QIE2Zx2xlk88egjJQWh5J6vQzGPJkAwHNYNzFI9HVddHdFodE8+0krRkgiTUPyetHxcbVZrqjyqovgtxeKqeg+669yEw6GC48PGrdt03QQgU25Y7WKZKQ5QCjM7p7Nz16685bv7+lm7cTMnHvV+w33YrDbiRd5T3V1dzJg5u6ht9WhqaChooQyGwowHg7S36rsSRCcmcJZgBU4k4qYquRW6DxsaGxlT9HHVyypQKvEyWlsztLd36Pq5rl+3jqX7lke4vsu5HzhKCHFUOnvA94C7VdpIKceklPYsvXUJ8Dcp5bsyv9jekFVgElLKx4C7gNXAM8CtUsqn0qu/CiwFhoFLgbOllGWfQ7MqPixTWQUmW1yjExM4TDitDw8N0VLBhOm+lmZTFtdQKERdlniwWq3Ei8zLqMfA0DAWg8T/hQbveCKh/HIghNB1FZAUN7U0e84cWlpa2bh+neltQfvcnGkfVxWCoTCeOj3hKkgmjV0FLBZLytUlWP7CF9nY7TblrADBUDjPVQCgzuXc40tuVGrY6XJWLtduGrvDgdVqLZiWaMPWbQWDmPT8+bSsuMIiCmb2KBezZ3Tydld33vI/PPBXTjv+GCWrY+p6mxeukXCY5575JwsXLTK9bSGamxoLCtddfX10dnQUtH7nVnMzSzgc3pO+r1gy90VjYyP+UfXgLL3ctIX8QY187EdHRycF8JYDX3s7/RruV4lEnG1bt7B4yVLDfVQ688ZUI6UcAi4gpY+6SKUGvVEI8WkhxJZCbaamx5VjrxGuUkohpexN//86KWWLlLJdSvnjrDZ9UsqTpZR1UsoDpJRvVqIvmR+ukahx1dURznlIxmJxZWtgBrN+lnpoDTjTO9rZbRCxmU0iJ5DAbrOVtTRoLBbjmh//hC9feH7R+3Do5M/VfOgXfZTCSKRygJgKXrebgEKkOkAgGMKr8+BIryr/9gAAIABJREFUCXX1sq+xCk9Be01YQPuHhjQtXy1NTQylK9kZWfsj4cikF69K0dLaypDOC6GUkrWbNrNsyWLd7c0EMQXGA3g1EsmXm30WLWT95i2Tlu3o7uHhf/wfF378bKV9mPHVztDd1cXXLv0iM2fN4rgTTzK1rRG+1lYGC/jTB0MhGgym01MW1+KEq5SS3l27TAcI69Hc0sKIQenpzDioF8CZciYqXuS99srLrDzwoKK312La9E56d+cHB3Z3ddHa2jYpYFgPlfzpZvOO721IKR+SUs6TUnqllJ+RUkallHdJKRcWaqOxn99IKU+tbu/Lx14jXPcmpJRKPmh1GsI1biIwCzJR75WzpsyYNo1dvX3K7XMrTVnTWQXK5S7wwB230dbcwodPO1lzvQpOh4NIFaZOCxEYH8dbRI5EvXNMCbyQYTsonMM1N+9uoetks9tIlJAsXoUGr1e5hGffwCDtbfnCtbW5mcFh4xLMkJoxKFdi9EL4fO0MDmoLor6BlBtMh09/JsVhtxNTFK6p4J7yFyjJZb/Fi1i7afOeYLhkMsn3f/4/XHD2R3SDzHJxOp2m3Bp29XRz+WX/xgc/cjaXff2Kshdi6WhrMxCuYcMKdLnC1cjqn03GH7WhodGgpRotLS0MGyTrB9gesyIEmjMzhTKtqPDSC89z2PuOKHp7LaZ3drJbw01l29atzF+gVjUukdAv713jX4vaVdYgM41naHF15afDKpRRQGvAE8KiNLVbLJ3TOujJEq5Gb5yJRGJStLMQAofdXnSkMLwjwjZu3cb9T/yNb3/1yyVFf5qNNK/EFFIgEKC+oXxWMK/HzbiiZTIQDOHVsUColBJ9YEPqAZGy+lXW4trg9SoHgfUPDmmKvaaG+lRKIwVCwQB17soL11afjyEdQbR6w0aWLVlc8B632WzKwjWZTGApsURnNnovRW0tzRxx0IFcd8vPkFLyxwcfJhKJct6Hz1Let8Nu132p1Bp7Xn7xRY54/1GcevoZFYkI7/C16Qb9QKp0sp7bTYaoQVaBQmPqru4eOmfMLNu5Nbe0GFaZglRRG9+06XuOm52FphThmkgkWLtmNSsPOLCo7fWYNn06u3f15C3fvnUr83SEa+59bCYNZY13NzXhqkFSMb9nyuI62c9tIhbbqyyu09t99A0MKge3aKVusdvU/RQL8es//IkLP/ZR2lqaddtolW3Nxeko7A+a/SCpxMMwkYgTCYcnBbGVSr3HQ0DB39QXHSUQCurmcLUIsScLhJFVvNQqRyo4nQ6SUjIxkTdblUff4CDtbfnC1Uxxhtw8xJWizecjtDs/F3E8Huc399zHCUcWtkiZ+U3lzoJUku9cdik7e3Zx489+wa//8CeuvfwyU8GmTodaKsEMa1evYtmKyiWW72gr7CqQydBRiInYhGn3rww93V0lVwLLHs+amlOuAkbCM5NmUStlYiG/fyN27thBS0srDY3lsSBnmDa9k77e3rwMNtu3bWHefEWLazyOtYwveDX2XmqvJxpIxRyLWiVf4/E4NhPlXi0WtWCaYnE6HDQ3NjIwNMy0dp9he62HpN3EtKYeb3d188aadVz9H18taT8AToczT8gUsnqU2+IaCATweLymfZMLCXKvx5NncdUrRtDXP6g7DZ2qdKZ2vtYy+y9rIYSg3uslMB6gpVXfJ1hKmbK4aghXl8OhXD0rt/JbpfD52unbsiFv+R1/vBdfawunHXdMwe1TftqqFldzpYlLweV0cvOV3+LCr13OpZ85n5nTp5va3mniWkkpWbN6FZd88cvFdBWYnHBfiw5fG0ODA7rBcKFwRNftJkM0OoGrWOHa002nCeFq+NLudOJ0OFIzPgX8nvt69dMsCiGKrsS2cf06luyzT1HbFsLlcuGtr2docBBfe/ue5du3bdO0uGp9T/FksqBLzVT4t05flKR+nprRaNiexP9ChTtUBoQQj5NKs7WDd8L8BCCllEdXow81i6sGCcVUNa66OiKRyZakWCyOw0RFESEsFbW4AnROa6enVy1dWzwe1xCuNtMBF7n89r6/8LEzP2Bo3VDBlKtABSyuqWCZ8qaZqc/xcS3Ezp4e3RKVKeGqNlDaqxCcBdDo9Ri6C4wHglgsFk0R4XA4mFAowQzVtbjmpnTbuHUbf/rro3zr375knO/UxG+qmsIVwNfawgN33MYHTykcKKUlBBwOu/Jvs6e7C6fTWdE81nUuFw6HUzezgJHFNZ5IIFHPy51LT3c3M2aWNzdtS2urobtAf4E0iyPOBr0MgYZsWL+Opfvsq9RWZfYsm+mdnXTtfGcWY2x0lIlolPZ2tftD69lVoyKcBviBE6WUR6c/R1VLtEJNuGoipdqDoq6ujlCOq0AsHsNuwuIqLAJZRour1sOks6ODnl61zAKJRCKvrnZqWrM4y5wvOkrf4CBPPf8SHz/zA0XtI5eUq4Dx1HOlGB/3K0d5ZwZvowHc63ETCAaVrMM7d+1mlk6UsoqPK6T8XG22ygdnQUqUjxsEaPUP6luRU2JIMaVWMFiV4Ky2Nt+kNHPRiQmuvvkn/NtFn9YMMMvFbsJNI5lIVv2BrOoekDveaM2G6LFm1Sr2q0L9+UVLlrBu7RrNdSGN3MHZRKOpwKxiXY529XQrl7BVFXnNzS0MDxdOcdjf16dfkdFE5pFcVC2uxST6P+LIo3ni0XfiQDZv2sjc+Qvyvnu9fScSSVNuLTWKQ6YsbR/XylZQLWrCVYPcACU9XBp5XONxc/5oFmEhWXGLawe7+tQyC2glRrfrpJ9SQUrJLbf9mg+eciKNZUrp4zJhcU3PX+j2rRjGRkdpaGgwbGdm8LbZbNjstrwsFVr07O5l5nTth1K2j6sR1ioEZwHUK1hc+4eG8en4Pjvt6n6ToVCQuipYXDumT6d7927G0ud1918eYFbndM448Xil7Z12dctkIpGoqsW1FJwmLK7r1q5hv2WFS8iqUqj89bIVK1i/dq3muonYRMGAnuhENC8VlmpGlWQyya7ubmbMKM3HNZfmlhZGDIrK9Pf10a4jXC3CQlxn6Cs0nT4yPEx/f7+yz6lZTj39DF5/9RVG06nvnnn6KQ4/YnLRi8L5vc0V/6lRPFLK4pKYl4l3x2hYZcKhsFIuSKfTSSQ6ucKW3W4zVfKw3CmJtH7Yrc1NDCvWt3a5XHnWzGJyM2b4f39+gJ6+fj5//ieK2l4LMz63TqPAniIsKdu3bWXuPP2qSMXi0fCZ1iIcjer65dls6iVWU/dqZX1cITVda2QhD0f0LV9W6+TqbYWEQyhYnXRY9fX1nHTUkdz9lwcBeOLpZ/nkRz6kbJlrbGxg1K+WbSGR3PuipfUETirgT+3+27ZlMwsX6ee6VSEz3hWa1WhoaCSoUwZ4zowZbN/Zpbt/o3KvBTMK9HTT1NyMxyBPrNkp9Tafr2DAGaREZktri+a6Yst4/+3xRznq6GMN78Viy6q63W4WLl7M5k2bkFLyxmuvcujh71Pebzye0I0v0bpOUkq+dukXlcfLvQEhxClCiM1CiKAQ4h4hRJ41SK+NEMIthPiNEMIvhOgVQvxECFHeEmhVoiZcNQgEAngVajxbrVbsdvukCHeHCesQmEsCX+yA0NLYyMiYX6ltqprS5CAho0ASvX69+cbr/O7PD/CDb3+j6ATeWpgR0i6XM88PuVS2bNpk+MAt5lq5NSz42fvxRUf3pCXTs+pbreq14u12BxOK1bpKweV0MmEgXPsGB/EVeNAmFCtHhUJB6upSFtdK1iX3RUe58Jyzue/hx1i7cRMjY36WL1UXYR63m2BIzadZdQZobyCV5sv4txmLxejp7mbOPP3qYkYo530u8OK07+KFrNu0WXfbSHQCe5EFLbZu3sz8hYUrgRVzj7YVyCEMKUvv2NgojY3aotpqtZKIx00FKyWTSR57+GFOO/PMgu20zsfMOS5YuIhtWzbT052q4JbJyKCyj5jJjD7BYICunTvfNX6x6RKuvwcuB2aSmlC8zkSbb5KqPLovsBI4FPhSGfp1Zan7MEtNuGoQDAQM35IzuOrq6Eq+I8ocDv08hlrYbFalyG6VH65em+amRkYUywS6PR5COQ9Uh8NBVDE4Jpv7/vgHLrv4QqVsBmawawjpXIGXoc7l0p1+n7AU97K5ZfMmFi5eUtS2hair0+9rhngsXtCHWrVW/AeXduLxenUtUeXE6XBgDxYuINDbP8C0rGjibCwWCwlFC1G8iMp1YO7hmmk7c/o0jn3fYVxxw/c59n2HmZrO92i8pOhRznRYlRDz2QLIruM3nSuSunfupL2jA2eR1efMnEchn/iFc+fQ09uney12J+04Xa6Crgh6bN2yhQULF+quL/ZatPl8DBSohhgMBHC5XNh1fgfWrFkZ1XPq691NPB7TLb1qZDVWPdcFixazZfMm3nrzdfZfeaAp3+JYPI7Drj6m+8fGlFy+9iLOAl6XUt4vpRwBbgLONdHmJOCHUsrudJXS/wVOKEO/TizDPkxRE64aBIOpdEcq1NXVEQ6H9wwAZvMY2mx2EgWERu6AoDcAFBoYmhtNCFe3O69Ep8NuU05xk83g7h4WLyj/lHrGj0mlKILDbieRTOq29dvNTSv7x8YIjo+XrYRjNm6XvpjJXF+jPMEpVwE1kefxVEe4upzOgnl3AXb3DzBd5wXHaiJTQjKZQGQJyEpaXQE+c+7HGBoZ5bgjDje1ncddRzCkKFzfRdHSdrtaYYXt27YW7Stp9po6XS5di7/dbmfBnNls2LJNc300EsHpLC4TypbN+jMzpdyXPl97QVeBkZERGpv0c2WnZjCMXy4m7XPTGuZpBEpBeX9jCxYuZOuWLbz1xhvsf8ABpvYfyylXboTf76f+3SVcVwBvZP29BugQQngV21wMPJG17mAgv1zZu4CacNXAlMXVVUckLTYGnE0p4WrCH9Rmz09EbhSJbnagaG5qZHhMbRu320MolCNcTZ4TpGt0D+iLkVKx63xvuQghcDkdRHIeXMXm9NuyeRNLFsyjI6bmemEGLVcBmHxeRlaFlKuAmt+qt95LQLEiVSk4099/ofu2t7+f6R3aFlczrgJJKcuWX1dl2nPGtA7u+smPOGSlueh4vWutRbksrpUW8ZB6qVSx+A8NDU3K16lH9lho1hc0Q7uIEY3qz2Tst2QR6zbnuwsMOJuIRKK4stJlZY8bRrmjt23ZzIIcV4FizyGbNp+vYDWwsdERmpoLC9fsF3mVsXDL2zvYZ9bknL5mz6XQ7yzz6Zwxk9GRYd549RX2P+BAU/uPx1JVK7OrhBWylKcsruUtpFBhGoA9Fqh0VH88vdywjZRyrZRyXAjhEULcCnwE+H4Z+lX+nJMG7F0e/1Um86PIvbFNW1yzUmI5HHZT1km7zT5JaKj+ULOT0xttU+/xEI5EmYjF8KGd1D6D2+NmeGhyjkCn3W7KigwwOjJCndNVlrytWmT8XHP3r/VduFwuIpGobplUoyTm2WzetImlCxfsOVY5k1q761yGwVmxWKygVcGW81AqhNfrzbvWqph5oLicTkMXiN19+i85ZlwFtLJilPs65bJ4vnk/TU9dHUETwrXU4KxyitZC36Vq6rxYLKY7lZ2hXH12OZ1EC/i577t4Ec+98prmumg0gjNnjFG5lwb6+7FarbS0vpMarVzn09TcTDAQYGIiisOR72oxMjJCc0HhaiNpIiDJFx1l646dHHnIQSWfg9Fza1p8nMXz5jI65mffRnMuP7F4jHFPC6o5Rcb9/oq7Crxvrp05+6idx7pRG1vgYCHEq1mLb5NS3pb+/yiwx+FaCOEgpeGy/bAKthFCHA/8BlgNHCil7DZ7Tho8UoZ9mKJmcSX/B6QanAXpIgRZDyC/t009OT7pKNy05bBSFhGLxUJzYwOjCgFaWhbXYtJh9ff3VczaCub65HI6iRSwuJihp7uLebPeSShezmtWyB83g5HF1WazKUfJer31BKthcc3K7KDl9hIKh4lMRGnWKSMZdnqUz0kmk5NcBYwoh8XICC3LTzWDs6phac2cn9/dTCQh89blEpuYwJ6+j7WsquXsc6pgSQHhuig/QCvT52g0WpQf7tYtm1mQdhMo9/lYLBZaWlsZyimAkWFstLCrQKpISXJSZgEjMb51x04WzJ1TXIdzMPo+li6cb3oGAyCaSGIzUfzH7/fT4a2MYaUEXpVSHpz1uS1r3QZgWdbf+wCbpZRhlTZCiFOA+4DLpZSnl0m0IqW8sRz7MUNNuGoQCqpX33G5XISzhKvZVCNWm5pPmBZmBsTmpkZGxoz9XN1ut05wljnh2tfbW/agrGwcNvXMAnVOJ+EyZRYIjI/T1FCefLS5qPg9xuLxgj6uVotFOauAx+slYFAYoBykXhze+f5z79nd/QNM8/l0AzEsVitBoWZx1HMVyBXM5RYTqmQE3kSjj7FIbJKg1RMP5QzOqjQZn30jIRSLTeBwOKpyDVxOJ/Gw/kvCrBmd9A4Mas5URCLhSa4Cqmzdspnl82ZV7PxmzZ7D9m3afrlGFlchhKkX3FgsRs/uXubOKm8+Wj0+e97H+fz555neLh6LmSq3Hh/uK1tu8SpxP3CUEOKodPaA7wF3m2hzFfA1KeUfq9bjCvGeFa6FBhQzScw9Xi/9Wcn9LRb9qVqt/JOp6kWVz6XZ3NDIsEKAVn1DIz1dOycNatGJCdPJ+gf7+ysqXFM+rmrfW73Xw67e/AIM2eekOpU87vdTn1PuNfdeKvZhVedyKfk9jgeDBHSsdVarlbhiIJO3vt6wMEA50HKfyf6OAsEQ48Egr6/OTxI/4GxCIJTvv2SBZP2liNVSrK1auN0eQlmBcYXuv1KCs6otzlOBpsYub9HoBHZ7+VLkFUIvl3PmO7dZrbS3tnDvXx8lmUzuWR6bmODF557VLZ2qhy86yrrXXmbfRfoZBczuL5d9ly1j7erVmu0nolG2b9uqm0lhz29J8Te1bWcX0zvay5rSsBAtTU26sy967LZ6U9ZxDdcJPYZHRk0fZyqRUg4BFwB3AV1AP3CjEOLTQogthdqkd7ECuF0IEc/6PFmu/gkhThVCOIQQHUKIHwghLhdCVMSk/Z4VrrlkDw6p5M3GZRsBTjv9TO6/70/E0gOjNBkcYnZqs1g8brVgkP0POACvt55b/ng/AP7xAM+/8hpHH3aoqeONj4/vNW+z55/9YW65/Y49+Vz3PJhiMdOpk8LhkK6vbKm46+oIGbgKzJs1k6MOO4QbfvLfum2Eoq+81+MlUIWsAjGDFF4r9lnC1z9/Md/83g94/tXX89YHAuN4PF7ll4tiy3NqUYrYLdTfhsZG/DkzIHrHSVUEshVsUy2MrsHG9etZtMQ4VVw4HKKjOjpoT6YNrWuZsXhfdeMPeejp57jkO9fx7NNPMTQ4yHVXfRen08WHz/44kCqTbIQvOsq2nV3s6uvnyMMOqcj5ABx48CG89srLecu7du7A7/djsVq57MtfYO3qVXltRoaH8Xi9hj7GGV59azUHLV9m3HCKGHA28fCDDzBv/gJcijl3fdFRtnd1M3eWWjnevQUp5UNSynlSSq+U8jNSyqiU8i4p5cJCbdLLvVJKW86nHOmwEELcCNxCyp/2l8Ai4Pj0/8tOTbhqMNDfT5tPzVq4z377MXfefB59+K8AtEZG8oJDtMgMgsVEQReDu+6daehCDz+r1co3vnMlT//jSe59+FEeePxvHHnowbTplOPUIxgMUO+tbAUjVYGyz9Ens2jfZfzgrj9MWj6R5WenSjgcrljAmbvORdggOEsIwaf/7T9Ys2Ubf1u7NU9IpF6cFIVrfXE+rmbFU2SicPUhIQQrTzqDb193A1f++Kd7zitzbuN+Pw2KlpFkMllW4VosRgKvvqGeQCCgNF2biCew2qx7vnczAZzVZvWqt1i2POWfWOg7CIdCupXSyo3FMrnymtb3MnvuXG7+6a0cc9zxPPHYo1x8wafw1tfzze9ehd1uVxKtGVat28BBy5dVtPzoosVLGBsbpa+vd9LyO//3dt58/TW++Z0rOfcTn+L7N1zH96+/dpI/7K6eHqZPV0/n98pbq4ryOa0EWhkDnnj0Ee675w9c/q1vK+9HSsm2nTuZP2d2BXv7nuIC4GhAksoNewGp/LGFK1YUyZQKVyHEfCHEU+nSZOuEEMeml18hhBhMf67Jat8ihHgk3X6tEOLISvRrcHBAWbgCfPqiz3LP739HJBxGJiVCUTiAdhR0JXDnZD8omPe1pYXrv/8j7vjDvdxxz72c+8EzTB8vGAhUzDIJKE8dZx6eX/i3r/LaKy/z17//Y886lcjmXCLhMO66SglXY6v4gLMJp9PJJV/8Mr+49afEYrFJAiGZTGpaXLOv9weXph5aHq+3Kq4CUcWymfvut4xvXXUNN11/LS+98Pye9WNZicKNBKGUcq8QrpDqi54PsdVqw+NR+/7jJvNTVgoVi/eaVW+xbMX+hu1CoRCeCo4P2disVqWsFFarjdPOOJNrb/w+9z74MFd86ztFfe9rNm5imYkqairkjtcWi4UDDz6EV19+ac+yjRvWs27NGsbHxxFCcMzxJ3DbHXcxrbOTSz9/MU88+gh/f/wxbrr+Go446mil48bjcd5cu36vsLhm339vvvE6v7vrN/zwxhv47R2/5ns/vJnpnerW04GhYew2+7vKVWAvxwGEgA8Ab0gp/aSyG5jzMVRkqi2u9wD/ANpJ5RP7nRDiBOArwFHAQcAnhRAfSrf/CSmfjRnA9cC96XQPZWNiIkowGKSpQFRmLgsWLmLfZcv575uu4/Lrb6TFxI8hWaVyjnUKqZaymd7ZyU+u/S4fOuUk9inCVyuVmaFyFlezAqW+vp4rr72BW359F+vXpnwpYxMTuq4CesI+ZXGtjKXITG7Pw494P+0dHTz4l/uAdwZ1CcovTh6Ph3A4bKpWdzFWvEhkQtc/LlcMLV+xP9d87yZ++uMf8cCf7+P2X/6cF597ltlz5ir1Z28QrplzevXllzj3wx/khquvZO2afH/EhsZGxhQCJuPxWF609FS7DGgxNDiI3+9nzty5hm1DoSBe99RYXFXI9ik2Y20FWLtxE/stKa9w1eKQww7n1ZdSwlVKyR2/uo3zP3MRiXiciXQWBVddHRdcdDE3/OBHPPLQgzz614e48tobOPuc3IJL2mzZvInOae00Ne4difoH+vu5/uorufXHPyIei7N8xf786NafMXOWOctpyto6y7hhDVV+BbwC3EbKj3YZ8ED6U3amTLgKIQ4E2oDrpJRBKeWdwMeBTwG/lFKul1LuAH4BnCuEcAJnA9+RUo5KKX8PDJDyoygbQ4ODtLa2mp6+v/CzF9PU2MCHTzuFu3/+E912uQ/qZDJZHVcBxcCfbBbOm8tXPnvhpGWqfobBYIB6TwWFK2CkT3L7OnvuXP79im9y1be+wfVXfZfBgYFJrgJG55ZMJolGo9S5iitTaYSRcM3unxCCL1z6Ff70+7sZHh7as16asOBbLBbq6uryskiUm8hEFJeJ72zJ0n246eb/4p//9w+khFtvu5199ttPaduUcJ3q9/EUzz3zTz7x6QtZsfIAvnf1lbz5+uRcoY1NjYzlFAbREqTxeIL2ZDBveSGqLWyllLz0wvMsW75CaTyrpquA2UwvpRAKh+ne3cvieXPLvu/ca3rgQQez6q03iYTDPPDnexkaHOTk006jvr6ewPhkF6D5CxZyy89/yc23/jeLl2qXbdVieGiIToVCEZVmwNmElJIrvvYVZs+Zw89vv4MLPnsxp55+Bh0d5oLnIBVwNn92zU2gXEgp/xP4AvARKeVvSWnL29LLyo7yPIgQYj8gO2LJCfxWSmn+rklxELAZuFMI8QFgO/AlUpFv92a1WwucBywGAjm5x9YC5QndTDM4MEBbm/lo+M4ZM/nml9WuUeYN/oENu6irknCt93oYGC4u2XwxBIPBigrXVESsecvaIYcdzi/+9zeseutNOqZNx9feobxtJBLB6XRW7Hq5XS7D4KxsZsycyUmnfoDf3P4r/v2KbwIpn2kzEeiZzALzHQlD4V6sGIpGJwq6Cmgxa/Ycbr5VPwBNj5RwNb1Z2UkkErz8wgvcfOt/M72zk5mzZnHzTTfys9tup7Ep9T03NjblBWhp7+ud4KxsKl1YIRut4zz/7DNsXL+Onu5u1q9dg93h4IuXflVpf9V0FbAWYXHNYNbaun7LVhbOnWPad16V7Gve0NjI3Lnz+OynP8nMWbP41lXXYLXa8NY3MD7uVw4wLkQgEMBbyXHcBLt39RCPxTn/wotKnlXZtqOLpQvLX448lyNnt3LgUjV/Yu/OZt7NeaqklE9n/X8VkB8ZWCaUhKsQ4nrgi0CUlFqQgA/4YQnHbiPlxHs+8HngM6RykIXIKlkGjJMqY9aQszx7nVafPwd8DjBVV35wYIC2Kr5hVsvi2tbSwktvvFWWfalUmgpW2FUACgdnFXqgt7a1cdwJJ3LcCSeaOl4kHKauglYit7vOMDgrl/M+dT6f+8yn2bRhA4uXLiVgcdCE+kPa661P+WG2Vk5ERKLRqqXSMZvVo1Js3LCexuamPWPPAQcdzPEnn8yPf3ATV13/PSwWS8pVYNT4ZSDl46r9MpIrXqtlad2wbi0//+ktnPHBD3HUscdxyRe/RMe06cYbpgkFg7ir6SqQTFbFjWTthsq7CWRf8ws+ezHR6AQHH3ronnOrbyhfmrtQcO8RrmtWr2bZihVluYbbdu7kA8cfW/J+akwNqiP8RcAhwBnA36WUncC3gVLLEa2WUv5OShmWUv4csJMStNkjmptUubLRnOXZ6/KQUt6WqT7R3Nyi3KGBgf6iLK7FkkwmsVoq7+Pa0dbKwODQpGWVfMgFK/ymbjavbDkIh8O66VbMRnxroZrHNRu3x8OnL7qYX/zsJ6lKYhLCDnUR6vF692QWqNT9YBScVU6kTDIFpbPzePG55zj8iPdPWnb+hRcxOjoi0OJxAAAgAElEQVTCk088DqQsrrmuAlok4toW1wzVLqggpeQHt/yU5ad9lHM/eT7HHHe8KdGaSCSYmJjAXaHsHLlYLBaEEFVxF1izcRPLliyq+HEy13rFygM45LDDJom5+voGxsfHTVuLtQgEKp8dRpW1q1cpBf4ZIaVk+86umo9rkQghHhdC7BRCPCOE+Gf684wQ4p/V6oOqcK0nlcx2E5C5c34JfLmEY79NSqgCIFK/PAvwGJNLlu0LvJVu3yyEaNFYVzYGB8xlFCiVZDJpKgtBsbS3tdE3NGTcsAwkEnGi0WhFH0xSGvu4lptKW1xTuXbNvwueePIptLS0cu13v0UoFEQIi6bFWUvYqBYhKEUURYpwFSgWKVFOB1YJMt/7i88/y/uOmJz0xGaz8aWvXMadv76dUDA4KZerVincDPFEQtfiOhX85J4HmQiHWHzY0YbiSOs+jITDOF2uqlrGjfxctc6jGOG3duPmsmcU0EPvN1lfX8+4P1Xeu1TxGgxUNlZBhcw9tGbVW+y3fLlhe61zzv6uhgYHcDgcNDXsHQFn70JOA/zAiVLKo9Ofo6SUaqkqyoDqyPEsKaFqA+xCiJNIBUWVYvZ6DOgUQlwshKgDLgV2kKr48CUhxAwhxBLgMuBuKWUQeBC4WghRJ4T4LClB/ZLO/otiWLH4gMqAoOp/Vg3rYUtTI/7xQMoqVwGyB4ZoJFpRX1AAi9VStYCLDLF4DGsF0xKlcu2GTJ+XxWLhW1ddTXNzCw/d/5c9JWFV7r/6+nrG/O944FTCajcRi+GokM9fLlNhic+lr6+XYCDAwsX5AmbJ0n3Y/4ADefjBB0gkEsTTVfMKXat4LFawzG+1ef2x+zn0rHOK/n2HQiHcddXxb82Q8nMt/Lt6YMOuPZ9iCATGCYSCzDBZaasUtH6vbo+XF7eVbm0FCIzvHa4CY2Oj+MfGdLOLZFC5diMjI/ha1Gdh9yaEEKcIITanU4LeI4TIq/Kj10ak+LEQYkwIsUsIUVTglExNa308U9hgKlAdec4HhoAm4GvAHaSi/S8t9sBSyhHgZFL+rX3Ah4CzpZSPkhKvq4FngFullE+lN/sqsBQYTh/7bCllcV73OiQqkDNRq9RrhuaWFkaqEDRltVppaWxkaKTy04lOl4toNFpRYdna3MTgsKaXiBJ6Aq2QgGhra5uUyFt1n6o4HQ48brdSad5crFYbX7j0KwC0tLUpb+fztTM4MLDn70oE+zjsdiYq9MKUSzUjyPXYvWsXM2fP1hV2J516Gs/88ymefOJxjjrm2IL7yrxoVirYxyzBQICxvt3M3Lf4hPTBYAD3VIihLEN8RV7QohO4XK4pT8eWSMTL9oLt948hWqsnxPUYGR6mtc1XFmNIIpEouoTyVCKEaAZ+D1wOzCR1R19nos1FwImkZqpPAa4XQhxQTF+klOuK2a5cKN0FUspBKeUVUsq3pZSPSSlnSimnSynvNd664H5fllIeIqVskFKeIKXcnl5+nZSyRUrZLqX8cVb7PinlyVLKOinlAVLKN0s5vk6fKjLw6InX1rY2BgcHNNeVm9aW5pLEXjaFBI7VasWVth5Wio62Nnr7q/O9ZWhuacXv92vWPS8X0zvaiz4vt8fDg4//nWOOU88Q52tvZ6C/v6jjqeJyOojo1E0vN1artegI8nIx2N9Pm08/wHP5ihX07e4lmUywfP+VBfcViURwFXC5qVZWgQxvv72d5ukzsRbwuTUiFArh2QuseIUoxuoai8ew2qtUxzaLXBEejUSwlakf434/9VM8pe6Ljpa1H8lkEqt16gM4i+As4HUp5f1pw99NpKpTqbb5FPADKWWPlHI1KYF7TpX6XlYKXj0hxL5CiBeFEH4hxP8JISrvdb4XoFrrvRy0tfkKWvHKia+1pWopsTweLztilXurndbuo2+wOj67GaxWKz6fj90VFMydHe3s6iteSNpsNlMvXr6ODgb6+4o+ngpOp7OswrWQWCsm2Xy52b1rFx0FpoutVhsnnnIqH/nYOYbXKhoJ49IpeFFt0QrQ09VFU4d6IJYWwUBwaiyuFaYSs3XFEIlGsTnK41Pu9/v3VK2bSsrZj/rwGLYqBERXgBXAG1l/rwE6hBBexTa568qSTlQIcWWp+zCL0a/sNuCfwGeBTwO3A8dUulNTSbl85DIPFaPUUc0tzYz7/cTjcaU0U6Xga2lhYKg6wtXr9RIIBKC5MsFMHW1t7Owpjx+XqeNOm8aG4SBzZ1Zm/9PaffRW2AKaTUdHB/19KeFaKSHkcjoraqXOZm+wuO7Y8TZHHV14mLzki19S2lc4HchUaGyo9LiRTXdXF43tpQnX0FS5ClSYeGzvEK7RSIQT5k+jtwz7Gvf7adgLyqL6x8YM+6FqJU8kEliqZHF94rFH+c43LldqG05llDlYCPFq1uLbpJS3pf/fQCoOCAApZVQIEU8vDyi0yU0pqptO1CQnAteWYT/KGP3KDgKOk1LGhBDXQFl+C3s/VXRRslptNDY1MTw0RHuHejL8YmhraWawShZXb30mzVJlMjR0+Np4+c2yJpRQYtr0Tnb19DBwyKFA+X3lOjva2bazq6z7LERbm4+hoSF6bfVUygbhLOAqUO4k+nuDj+vOt7cz54ILy7KvSCSimcliKqytAD3dXTQtPaikfQSDwaq7ClQjaC+mUZp3KohGIjjLkNElkUgQDAbweushXp68sMVSTotrIpmoSgpKgI+fcBQ3X/4VpbaPPPl/XPIf33hVSvlhnSaTUoKmy93bmJwStFCb3JSiuulE93aMXjusUsoYgJQyhIlKW3s7egP/VNQ6b62Su4CvtaVsPq5Q+OHp8aQtrhWio62NvoHKfGeFzmvJ0n1Yv25tRY4LML29nZ7d5Xs/NBI4doeD+vr6igYIuhxOotH3hsV1YiJKX28vM2aWJ0ekkY9rtenu6qKxRFeBjI9rtcV3pcf1RDyBzT41j8jsF+hImfImBwLjuD0erFbrlL0oZRj3j1HfUB7LbyKRfFcGZwEbmJwqdB9gs5QyrNgmd1250olWPRrxXemhXEkywrWatb7bfL49AVqVHCDaWpqr5uO6x1WgQnT42ugrUuyXcm2Xrdif1W+9uceCU+7rtWLfpazesIlAML82faXuSV97B/0V9HN1uaoXnGWZYuHa3dXFtOmde7IAlJpHMxKO4KqbeuHqi46SSMTp3b2LRl9pUebBYAC3+1/PVSAWjxUsFFEtotEIzrRf9AcVy41qMb6X+LeCmquAKimL67tS+twPHCWEOCqdPeB7wN0m2vwO+LoQokUIcRjwSeBPZejXI2XYhykMLa5CiEfSn0cBR9bfjwghqt7hyiPJvEBUS7ym0ixVPkK+raWFwSr5uGZXZKoEzY0NhMMRIpHqppLrnDGDZDJJX29lvGYa6+s5ZP/l/OO5Fyuyfy3aOzoY6KuccC13cFYh7HY7sSr502qx4+23mTN3blHbar0ERSPhPSIk229+Kujr7cVZ34itxPK9oeC/ZnBWPBbHZrdNuXUyGonicpVucfUXEclfqXMvq6tA4t2ZVUBKOQRcQCpdaBfQD9wohPi0EGJLoTbpXfwKeJOUD+y9wGVSys1l6NeNxq3Ki9Hr4UU5f/+Bd4oOCEorQLDX0hTPt3YZUazIfWDDLlpb2/JyaVZCNJtxFcgcf/jZhwvmodUjuyJTZjAr5zlZLBba21rpHRxk7swZZduvEUKIPVbXadNLmzLV49TjjuHehx/lrJNPKPu+tXxK29vb6eurnPt6NYOzGhoaGRsznwe3XLy9fRtz5s0r2/5UXQWqEaDVXYaMApDycf2XFK7xWElpwspFNBrB6XQBpb0s+sfGaDAxPa8akFwMRumwzMxsJBKJqlZtKydSyoeAh3IW35X+FGpDOuf9lymt4uleQcGrJ6W8U0p5J6lSr58Cvg1cnfP5F0Ok652bI1sM5AqDQm+hH1zaybwFC9iwvvL5fK1Wa0mVs8y8Tc+bv4C1q1cVfSylY8yexeZt20vej9lqOStWruTN118r+bh6HLL/CtZv2lK2/RldtwWLFrNx/Xrd9aU+hOpcLkKhsHFDE+idU0NjI4Fxf1mPpcqTzz7P4488zGGHH6G8jd69l/nOt2/bxsxZe0dN9X/87Qk6F+2ruz678lSh39Ngfz9tbdUrqw0gLKLiQXvj4+NTnvN06+aUAa2+oUHXTSD3Ouldq43r1zN/QcnZkkpm1O+nq2unqd9Boftvd/8A7SaKtNTY+1B97fh/pEqrXgicl/6cm/53r8cm45rLtR5+dSJJQmGA0xsUVMRdZtvMv/uvPICdb7/N8FBl85J27+5lZudki4kvOlpQmGSsrSrnlb2fQw49jB3bt7K7r9/wGMVy0PJlvLZ6jWFfchlwNu05n+wBLnew0+v3wYcexmuvvlIxX8o6l5NoCS8YRg+k3HNasf9K1qxaVbEHe73HQ6CEYhRGD9ns80nVaa9+BPQ9Dz3Czf9zOz+//qpJpV6NxMOuzet58o6fsX5tfsCfLzrKW2+8xv4rD9zztx6Vtrau2bCJtWtW883PXai8jdbvCaCnu5sV7Q1VjSNw2O3EYpOfAyrHf3j9xKSP3jlBKoCooaGxqueVTVtkhNv/5xd84vwLlCqtZc4JJl+rzLj3yssvcvCh6tlTMm3Kff5Pv/ASh65YRmOj8TNI75wy/fJFR9m0bTuL55dvVqQGCCG2CyG2aXw2CSFeEEJcJ4QoW25MVeHaAVwnpXxeSvlS9qdcHdkb8EVHsVmtxOPFCZJccZf9w8mdLs9+oNkdDg45/H0898zTuvsqB109u5g13TiwotDAkzmn7q4u3nzj9Tzxltm2U4Y45vBDefrFl0vocWEOXL4fr68uPsI/d2ALjY3y6yeNfUs7OqbR3NzM5k0bK/KQstlsJBKJooRx5pxee+TP3HPd5fzm9l/R3bUzr112v1vb2mhobGT7tq3Fd7oAXo+b8YB595tiqG9oYHzcX1Xx8L+/v4c/PvBXfvXDG1myYL7hsbPvu6efX8POngGuvuZq/vPr/86o/x1r8eiYn77du1m0ZMmk7adCGN35p/v4+HmfxJWTmktLmBcSD57R3QQCfjp81bV42W22spQd1hOvvugoyZEBOuqmLh3Wsy+/in+wn1NP13ftyvQ9c31y/59hcHiYwd5ejlwww9T9Vol78x/PvcDx73+f7nrVc8qwedt2liyoCdcyczuwlZR76QeAy4CdwF+AK4HDgV+U62CqwvVO4NJyHXRvIlcgliOdTrZlSHUK+uhjjuOfTz1V0nGN6Nrdy6wZ2hYgIwslMOmc7vr17dx84/c488JLuPNPf56UJzGzr8MOWMkrb1XOXWDx/HkMDA0xPFraYJl50L7++P38+aZvc8sPf8DQyDv71LO6rnv+6bzl5UAIgdPh0HzQqj4Y+rZvZuEh72fToJ/LL/sKb6zRtuhlWLFyJavfKnsFZQC8bjf/n70zD5OrqBr3e3qbfc9kluz7JAGSQAAJYQdBowQ0iiCCLPqh6M/lEz9FBQUEFHFBcQE/RfwAgSCLjKCYhCUEwpKEQBaykXUyS2Yymb1nurt+f9y+Pbdv39vLzPR0Jrnv8/STzN26TlfdqlOnTp3TbhElIRmM74+d1Qv6lYf8/Hza24fP4trj9/OXx//OH376Y8ZUJo7DbBxkazf1EmhrJG/maXzmh79g+owZfOGGGyMpf99+9z3mzp5JVbAjpt51edO1mmFkT91+1m3YxHnnXwBoyqr+MWJUWPW/rZ41rqpq2H0MvV5vXDcpK3l0dq51Rz7xaO/opKAgM767gUCAe/70F/7fNZ+39bM1K3h2MvX4/Tz85DOcNPc4PBkOG9Xe0cE7GzZx6knz415nJZNVX+Hv7WXv/nomjT883G+OIL4MfEop9aJSarNS6hlgCXClUuoF4HOAXXzalEmU8nWTiGxEy4xwl4gc1I/pn6EqSLpJtnM3Kq5DZfV88OW3o+JkWpXl+Pnz2bXzg6hNWsmiL30nKu+efXWMTbChyO53MnYAoWCQdWve5le/+wO/vu2HLH/1NW771W8ImBT++XOOZc2778UcHyrcbjdzZ81i7XupN0NzJ66UYvd7a/n4179PXn4+V33jhqiQVGYF4bwTjmXlG28OUgJ7sny+lGOfGmWq27ef3YXzOPmiS7nhu9/n27f9hNfXrI25R5fruDlzWb8uVnEdCqUoNzeHrm57H9dEbc6sELU21PGTPz1s6dowPlvoPjR8MbXf3fQ+UydOYFRpyYDu76xr4kBjJS6Xi9LTPs7FF3yYz3/j29z8ve+wtPY55s85dohLnDqPPPUPLrrgPMa57Df7GPsHs/JgZNfeOsbbTJ7Tic/rpS9g7TIWD7Nit3Ot29aa19bRQUGGNp298MqrlJUUc+qJJyR8Z80K6861bp7d6Gfbli385U9/5MLLP8+Wd9bwX5+7LN3FTsgrb7zF8ccdQ35ublJyWf3fyAe79zCuugpfEq4UQ0Hb+tdoWVmb1KdjU/r2TQwDAcA8GyilP8arFxiyHbqJpr3XAV8CvgicBVxkOKZ/RjxGhc/tciXl42qHeYbX3dHGM7+8ja/817W8stpe0fH6fHzolAWsfDnaXSCRQprKRrC9++sZP8ZecU3UMegKROPObWQVl1FaVsaUCeP53R230Njcwo133BVleS0tLqayvJzNW9OzBA26u4C1n2sijANQoKUOpRQVk6fzhS99mQ+dMI87b/sRLStro+7RFb05s2ayv7FpwLFkE5Hl8+HvS/09r93UiwoGCHa04CnUNsDsya/mp9//H77/05/z9t//annfsXPn8t76d9Lit5ubk0N3d8+QPKtz86s8/fMf8e6K5/ja7XfT1t4RVUeFBfm0pTEMm5m33nmXE447JvGFRCviEeWhpwmVXR5pi5ddfCH33HoTE0aVUBzq4awF9kukw8Gh9naef/ElPv3x5CKLWCkPxj7x/ddWZERx9STpKmC0uhr7h4LNSynYvDTyt1Emvf21d3RQkG9MGz98rF67jvNOW5gwyYIuky5PwealEArQ+OjNfP+mH9DX28udl32UWz59PoW7hj8zoZkVSboJ6G3NXE9GWlbWsvZfTzv+renhu8ByEfm9iNwoIr8AXgR+ISJjgdcYLlcBpdRLiT5DVZDDBTtXgVSX5Go39fLsRj+P/f4PTDvxVE678ivc8bs/ct//PRJ5npnTzjybV15cYfm8obD+7qnbn9DiavW9T2+ui+rEl7+8hnGz5kT+zs3J4fvnzmPn1i28+Fq02/OJc49La2rWwfq5gtbp1a1ajxozJ9Lxf+2aq1i3s47Xt+6yvMfjdnPq/BPiTkYGg8/ntbW4JmqHgbYm3PmliNsTqbexJ5zK16+9itv+/h/2Lnsy5p7S0jJKSkvZuWPH4AtvIi8nh87u7pTSblr5re365wpaXn2Woo99m0/8z4+pqKzkc1/7b7bWH4goD0X5BbS1D6Piuv5d5s85LuZ4Un1FsBfpPUT+jv53vimrmFF1G7noxGO44eNnJuV+kE6efv4FTj/5JMrLSpO+x055qFv+FG/v2Et5d3o3oVrhS+AqEA9dls6DWyjYvDRKOdfbXcvKWto6OinMkOK69r2NzDt2duRvc/szKtrGuuk8uIWc9ffgys7jMzf/nO9edRkTy5Ov63TS1d3Nm+vWc/rJJ0WOWb1XRmVcR68n/ZxeT9sbmhkjQxvhxAGUUg8DC9D8WscBIeALSqk7gQ7gs0qpm4bq+0ZmMLM0onduRkXR+LIks3FJf1l667fR17KPEz/2Kaqm1nDP7//A8y++zLP/WW55/9zjj2fnBztob7MO55OsddXqeGdXNz1+P2Ulg1eAe+u3UTW1JuqY1+3m6rNO5P6H/xZ1fPb0aWzcMugYx7bMmDqFuoYGy0xTduiKuHHJTNreJ2tMv0x5uTl862Nncs9zK20tNXNmz2TdANwUksHn89EbJ/ap1cCkt7t97/YS6Oph56poa/DHzj2bY8ZXcs/zKy2fOXHyFLZvH7owXDperxcRiVqqNVuy46HXk7RvQ5XNxztqHG6Ph/+6/qt85fOf43uPPMcfl6/mpddWs+K11/F6PWkPfQSav9z7O3YwZ2ZNwmvN1taCzUvJf38pIIQCzTFLm82rlqWjyCnz8uo3ueCs0+NeY3yfrJSH9uYmvvHFq1nyi79SXpjPGbMmp7vYMfi8Xnr7Yl0F4vXnujydB7fQeXBL3Ocv37CN7Tt3UV05etBlTZUDLS10dnYxadzYuNfpdQREyRTs3UdX3nmRSXvzqmWHRft7c916Zs2YRuCdxPYx4+TCXFcNDfU8+cZ7/KL2ZVZs2Mac8emJv300IyJfVUptVUrdrpT6klLqv4EPROQFpVTrUBs5jxrFNRmLZU+Pn9feXsvJx89N6V59M5bZF0/cXlzebNxhf5qiomJ+dtON/PJ397Fhy1bLTrMvECAnN9fye6w2aCRLIBjA6/WklK/baG2NGlhd0YOsroScMHkszQ0N7Nq7L3Ju6we7mDppYtLfmSoet5uc7JykMzNZygPgit7Q0LKyluMmVFFdUsgLf73f8llvrlvP8ccmt0ycKoFAAI/HPpi5sU0aldada91QMBk16mRcTa9G3dOyspYvnbeArfsP8M8//zbqXFl3C5vWr2P2Mf0+lUO56cfr8RAIK65GK5UVZiVPR5UcB93RGb7OO30hv7v2E/T0BVj6t4eo/c9ybvv2N4dl809D0wHKSkoSZimyUloBxOXDm3csgW5rV5rmVctSUvCHmh6/n/e372DOrJlxrzPKpSsOEeWhu4FnfnkrHz37TJ6+4fN8cbTC63bH9fVLB263i1AodiXNLhLMvQ8HI/LY8bff38M3H3yGa3/1Fx56ZQ2/veMWqiuG30K+c88+Jo8fZ9u3mycWMTKpEHhix5xMt7+31r/L7CL7LG26XM2PPBl3cvHzn9zBpn0NVHU1c/Oxo5lWVZ7WtpYpROR8EdkqIp0i8piIFKRynYjkisgDItImIvUi8isRSdYZ+DoRuSX8nBIR+TXwFloOgCHnqFFck2HFa68ze8Z0KkaNihm07ZRXK781/ePOLSLYFf2c4t3r+epHFvK9W24lGAxGuSA0NjQwatSoyC7iodw57Ha7CQWTt0JZKa36vy5fDr09scstbpeLU2smUfvwA5Fjb72znhMPgw0mEOt/HLWc6c5F+WNjjZ6UE2DFhm0xnVxHZyevr1nLOaclH2w+Ffy9vWTZpNY0K606RqVI5U2EnsaYezvffInPjsnhD/95PcqSvGHLVgry85lbnp+Wneputysp/1krJU//5DZsRLqj67BlZS28+zqXFvTwo0+dzy0fOYlTT4y/A3moaGg6QGWSYZ3MSqs+0Lo8JahgfxSETMUAtWLT1m1MnjCeHEPmLitLv51CpFQQ93u3M+/8xVx28YW0vq65RCSy5qVDqdBcwJLr/2o39SZUWut3bOFfL77MVWeeyH/NKOe22SWU798UU+7hUND37N8fE5/bLA8QRyZFxbRoN57tK/r7DmN5h1PhW/3aKuZOjPaHNka40d+pePUUaGti186dfOvjZ3LemEKqcqP1sCNFeRWREuAR4AZgLNqmqFtTvO47QA0wC5gLnIQWLSAZTgPOFZFaYCswCThBKZWWLF2O4homFArx2DO1A0qzaVTujP5de7aUEOrpjFm2nNm8nfzsLP75QL+vcrm/la5dWxhXMfiMMlaDn8flJmBhcbB6cY2KkVF50BFfDn090Ztt9OWl02om8cpmLZtVe0cHH+zZw7FJLKUOlkTuk1YKke6zBoAnl1Cvprjqv1/zqmWcVJ7Hmzv20GXyN12x6nXmH3csRQWWk9pB4/f3kpUVPye8nSWvYPNSVHYFYlBcjW1iTlku48qK+dMv74oce3HV65x1yoeGUoQo3K7kFQcds5In7nykqw41DG4AyVDf1ERFggw85smS2TIk7nxUqBtC/ZOI5lXL2L6ike0rGjNq9Vq3YRNzE1hbwV4hUqEeEBezFg4sdfFQyq21v/gTJ2NdJXINePMfj3PtpZdQvXcjkwuz8Ln7h9J0W4/N7K3bz7jq6Pjc5hCGiRQ8nZaVtVFKq/mc8f/plK/1UBsNh9qZVhl/PLTbiKUztmU15592Kj5P/8rN4eAGkQYuBNYopZ5SSh0E7kRLEpXKdecBdyml9iql6oH/BZJ6eZVSLeFrFZqVdbFSyj4d4yDJqOIqIjeIyF4R6RCRF0WkRjR+LiKHRKRORK4zXD9JRFaKSLeIrBaRxL1qkiytfQ632x13B6MZ4xKtrtzpA1PB5qUgblxZeTy7RvM1LPe30rxqGSLC+cXCE6vfjXrevvp6xiaRIMBI8mG+XDGKQzylVZfNvDEBwOXNoa/HOhNS9d6NHOrq5p47buXNdes5ZsaMtIcesVohM8phZZXUO3H9X+XOIdQba0Uu8LqZkeflta27on6v5Stf49zTTh1KMaLQLK7aEnS8AcLOkkd2uaXFFTRryqdLFY+//g5799ejlOLFVas545STh16QMG63fbQO8yBrtKREKXniQVxZBNtjIznoSh4MnxWloekAlaP7B1bj9xonf1b+nzoiLsSVw5hJ++N+VyJFIR3K0jsbNzFntn0Xq/cRtgqR6gNPdHgoXSlKVnkYKpncbndSYfks3YhMSOsGOloO8LFzzwKwVfQSMVR1tTvBplu7tmdERGLi2BrfKTsGWj+J7nnp8QeZPbYSjztWRUnG2tp5cAsoxZbVr7DonDMjcqTa/kYQxwHGeIfvARUiYt4tGO+6a4F/G87NB+IGojeGRwXeBmagJRvYkc6QqfZOdGlGRE4Gvom2E60OuAX4LfAQWtzYWWhxwFaIyGql1FrgQeAltMwM/4Vm8p4b+/RoAhJfzIb6/dz/0KPc/7M7BuQbt3OtG5fpBYo4vruKCXa2Av1O+9tXNFKK4kCxsOqxP3o4skcAACAASURBVLPg01cB4ZSslakprsniciVeqjW7Q+xc66YAopS89rVuSnzZEVeBlpW1UZ2AS4RfXHEhv6h9mUd/ejdfuDzzsQB1tElGbGdXsHkpHYX5KH+j1nkbJgPbVzSyYFY+L27YzjnHTAM0N4G1723g1v/5ZlrKqZTSFNc4FlfzLmGzTPk7ltEd7CLU5we05+iWPICqXC9XnjGfq776DS6/5FP09PqZOW3K0AsTRo/WkWjAilrWNJ3rPLgFj7uAvoN1wFjK/a1sNchkRP8ePWVxOqhvOsCsafa53K2srWZ0mQIH96OtrsUnGSWhZWXtoOUOhUKs37SZr54Sf7Vk51q3rfVDqT5U2HfSaMnbvqKRKWeNpnnVMsoWJGeNtZM7WTm1iVNyod6s2p4R1+6/c8InPhnlg67Jlrw8Q8neuv22Icbs+rxoVMzsf3lnL2fn9fcbieSyqh+7ujG6HVhd07Kylnd21TFnQvxNVInqifatuFxuZk2fxjawbH8AXP/DuN8zGNree5vmxuQ2vLbvOQAwX0TeMhy+Tyl1XxK3FwKREDhKKb+IBMLHO5K5Tim1AUBE8tAssZ8AElkzrktwPi1kTHEFgmhmZb0MbqAFuBz4qVJqH7BPRB4BLhGRZmAecG74x74b+J6I1CilNg+mIL/79T1c/smLmDh2TNzrzIpd1LKzxfUFm5fS6S2O8nPVXx43wodHZfHE6nepqa6l5NSPsvWDncz56AWDEcUWl8uFUopQKITL5Yo7APZbW5+07PBcvmx6u7W0mnpaBV2uKWeNxvXean78mY/w0sYdHFsYGpKBdCiIV1e4+10FIFrJO6Eslz+9tos3t+/hBPUsz7y1gXnHzCbfZhPdYAkEAoiIZdYaS0uexTO6WrciWeUEDzWC6Yrlnb1MAU7p2c/UT3+Ynz73L84+9ZSUNu6litvlJhAMRHU4xjZhtoqbJ4I64s6n8b0G+Ej08eWdvWChPAxW4YlHQ1MTZy2I368n6iMAXO58+g5GW1yXd4ZdUwaoEA1Wcd+xazclhUWU5Nu38UgfYXdBqA98edpkMLxf06gQQXJKUTyS7Vs8Hk/cVN7GJXW7tgea36507WDq/AWWbStVeQbbNyql2Lu/njEWK3W6TAkVPBv0fgJiLZTJyDgYi/I7u+q44eNnRh3T+z79nYpXTwCuA68z7aTo2Lbm9ncY8pZSyjbDlIjciGbkM/NXIMdwnQ9NtzJnY2mNd52InA08ALwLHK+U2huvsJkKiZoxVwGl1FvAM2j+ED1oTsA3EmvK3gBMBeYAm5RS/vD9IWBz+NygONDUyImmWIzJRBJICrcPFej3X5ty1miWd/ayvLOXM6oK2Li3gcvueYhLrrqGzq5uTpwbGxMyFexcB0SEnOxsunriB4I3B3S2fJYni7F58ec8IsKZs6dQlt9vcUmXX5TH7aEvED9Go27Js7U8uHOoyO73Yy1bcA5TztKs5NkeF1dNH8WfVrzBZ3/9ME+sfpfLjhufNpnE5YLwJMOKZNpeXsl0lK+EYNchy/O6Ul5TPZrfX/FRvnr1lXGfN1gZCwryEsZXtYrHaEZcWRSVaG28KavYcgBNZhlwKOpNKYVIcl1oXIuXK4tQd/RvYx5ch3tpc39jU9xEAfqmrER+k3nF0c7nVkrDcMiWm50dk73NyhCREBVEPFlcPGusrcKp+/sbP+mix+9HKUV+bm5Me05m8xJAIK8SFYwNFRZPwUunTEop6lraLOPJGpXxhPR1UFAW7SN7mCutCQmHm/KYP8BKwBjiZiawVSll9n/bbHediJwPPAHcoJRalEhpzSQZU1xF5By03LXHo5mEHkBzEygEjKNte/iY+bjxnNXzvygib4nIWwcPtlhdEqGqegx799enLEMi36H2miWWx/WXJ9fj4pfHj+aXVy7munM/xJ2LFw4o80qykQdKiotoPWStyIB10HcjeSXTAZgzLjsS77Z04aIoJS8TZGdn0RMnPWoihai9ZgkV0730+TWl3mrSsrCigN9d+0nuvPSj3HvNxUypKIs6P5TKq8ftJivLF3eSEc9vMoK3kONK+q3IdlYSn8dDx+p/W54bKsW8sryc/Y2J0xnrEya9rRnJK5mOv+pDltEfzs7zDXsbLC4spNUm5rJOojrSZDqZsXlaODejMj4UMg207rp7/JZhvqwSktg+Y9xCVEhTiEoXLrKVZTAW12StlSXFRRxste/7dBLVVcfURdrEkv66mnLW6AHX02At/35/b6Se9GcZ+69ECl5eyXRyS3ycUBGMPGPKWaMzquB19PTi87ojG6qMv1EyPsgAoVNuJK9EcUJ1SVQ9HcE8BZwmIqeFIwfcDjyc4nU3A99QSj06LCUeBJncnHUR8Fel1FqlVAdaKAY9jk2O4bpcNDN2q+m48VwMSqn7lFLzlVLzS0riZwKpqh7Dvvr4myPMJOq49YE3r0hFrjcPSqD5hI4uymfuxDFkeT1p3a1ZUlhIi03nbVyGgf4OL69keuQDMHFeELfHi6sndvEp2Y5hqOXLycqipyc2jmtMfFMLdLnEm0Wh25Cu1mZAmVBeQmFOtuW5oZQrPy+P9rCFciCDW3vNEgrH5NPdoSlWxsHMblAyt72hlKdqdDn1jU2DX6I3uXTEU4jSTXFRUZTiapYtKQsegDuHXsMkJZMy6fT4e8jOyopbX4mUvIqpLkblaKsGQ6HkDYaSoiIO2kzabWM7G8grmU57zRLGze4j29t/nT5xzxQ9fr9l2DzdIh4PXaYxZTn09UZPnJKpp3RZXQ91dVOcax7qk4/6kFcynYnzgowpilZvMtn+0o1Sqhm4Em0f0B6gEbgDQESuEJFtia5DW+3+o4gEDJ+4lSwi420+af2RM6m4ms0mATS/13VEm7JnAe8A7wMzJbw2F/53BrB+sAWpqq5mT12/xXUgbgJGC5HeIQyGdCivWudtbyFKpOS11yxh0Uwfp0ysiMkmlcnOOzsri25//8BvV392nd3EeUFOn55Pj2kpMZOz9ML8fNpN2cDMPl526G3RlVNId3t0fZvlsRp87CZPg2mTleXl1DfFWlxTkam9ZgkVM7IJ+buo3dQbeQ8z1faKCws4dKg95rhulYTEyl17zRJGT/fR1xPb9jJJj98fFb8VYmM7271Pkf7P7SEUx690sKQyCSopKozb9+nYydRes4SJ84KcPdUTsbgmSzrrssfvJzsr1jKeTCxaXSaPL4uAKUvfcLQ/u/pr7eqhKDe27UFyERL0cSqZ7zqSUEr9Qyk1SSmVr5S6yuBW+aBSamoS1+VbuCEkagjvo7kfvG/67A8nMfhwOmTNpOL6LHC5iBwvIjnAD4Hn0WKHfUtESsORBz4LPK6U2obmD/vN8PU/AN4Lb+IaFFVjxvBBQ2yInXhYpQM0WiZBU4gAmj7QBuSnN9elZE0ZauXVylXA/ELbdQx6Jwcwit6odKQD6RSGUrbs7GxLi6uOnUzGCcYFM8fT3T34HNZDJVdBXh7tHbE+oXY5x3V0mSbOC+I2Ka6Z7LwrwxZXK1KRSbJyCRlcBfQBLRMTjOKi+K4CxvSaZowynTqtICqhRyZl0unu8ZMdJ6qFnfIQJdfkbIIG30kr6+RwKejFRYW2FtdEbje6BW/RTB+hYBCXYdNkU1ZxRq2u/t7eKMU1mQyREC3TjMpSaor7n5FpJe9QVzfFeTkxZUm4TwHNRUAfp8YU9lttM11PRypKqRylVG7438gH8AI/An6dju/N5OasV4DvAo8B9WgZG64B7kezuu4ClgJfV0rpye6vAD6FFn3gHDSTd0pY+YJWVVezf5+m/ybz4idaAjQqeTr6IGa3oWQ4KCmydxVIZmlp0Uwfi2uq8fm8MRbXTJKd5cMfJ+VrPMuD3nnn5OREWVz1ji5TFBTk095hvRfYWE/miZORk6aX0t0eXd+ZanuVo8upb9Imh6ULFyX125onggCurLwYH9fB1NNgJhrJ+LhaYXS7WTTThy87J8biajXIGq3j6d7Q1N3TE2NxhfiWcaPSumimD5fHQygQu+knE9itNiXa6JhXMp2ySy+O9H0qFETEFYkP/fTmuiilaLjfr54ef0zYvEQb58wyZWVn4++JXrFKVp6BtsN472xrZ6zFNdkVDL3tmWPSGr/XUV7TT3jz/NNo2bmGnIwmIFBK/VkpNVUpVaSUulAp1aCUCiqlrldKFSilximlHjZcv0UpdXJYqz9dKbUr3vOTZdSocrKys/njw4+iEqRgStTRGZXWRTN94fh4mp+XUeHNhDWlrKSE5oOxG7gSOfObFXGvx0NXUNGUVRz5ZKrjBsjNyaGjK9ZamswgC7C4pjpstY3dDJWqPEOl7BYVFNDa1r8MbeWDbDUwGesqOy8ff5em/OoDLDBgP6/ByFZdUcHeuv2275c5iYIRozJ03uwCvKH+uh6su8BgZBo9qoy6hgbLc8lMbvXlzAtmjotsDNTlsZpAD0TGgcrXFwjg8URbFpPt+3TF4ewpleQZXj9zPzEcm7J0RpWU0HjAflXN6n3S+whdnnJ/K+dMrkhYJqN88WQcir4iEAzgcUdHeInX9qxkyvJl4Q/7uJqVcbM8ZhLVodUkNZHcMnYquT5vzGazZFyJjHKJCCoUipIp2XI7DBwRyRaRS4FfAavT8R2ZjOM6bHhU/Fm/2+3mf39yK1++8SZKJk3n9DPPGtD3xCitaKGjCPX7jj49s45rFy6KG+8vXZa+sdWVvL5mXdzvaK9ZEqW8mgejcn8rdS43IVMWrqasYsoXLqJlZW1SndlQUlZaQnM4coQ5C5Mug+u12yN/my1DAF6fj97e3qj7FtdUU55kWYdapsryUexvjA6sb5bJPMkwt7/mvdkRhchcTt1SMlwdeFlJMT6fl/rGJqoqNKU5Whl3R2TSLZL6xMLY/h5b20UgbO2v3dTLopm+SNsbbmqmTmH3vjo6OjvJz8uLyGSn4OlylV16MVfMdEesQk2NjYQMyUGe3lzH4prquG0qmXobTJvMy8mhqzs6yobVRNBYV2Zrl9fjjbgK6L+J/k4NxtKdrFxGRcU1tpCOzq5IXZkngnrbM65etNcs4frLtHpyL3sIFi7C43FH6qpfQayL9I1DWf5k8Hq9BMJWbXPbyyuZHqWMm2XSy+v1em3dpEpNdZVKf2GUMxWZ83JzCRZrcWmN9VSw+Unr623kcrvcUSEF9fcq2XFqKNi39iB5PvvVQCP13bH+8iOUfOBqNNfOr6XjC44KxVXH2LGU+1sjL0W5vxVKS7j+ysu577FHOe2MM5MKxm7cgNUOMR3305vrEK+P7A9ex9PSQHvNEmo39bK4pjrmpRmOZekJY8awa1+sS7De2U2cF2TnWneUXGalFcDlEkJhy5lxQIpHOuUbXVbKzj3xXZ2NS85Wynijr4hgKBTjwxaPdMpUXVnB6rXvAPbuK/pga1bwQKuPB5saCPh7YgfYDLlA1EyZwubtOyKKKyTb9sZFjnm8PoIG/2pNNk2u5GpNYyjqzuf1Mmv6NNZt2MTCk+Zb1pMuj15PVu/TQY+HoGFJ3SjTYJW8gZKXm8OBlv6ALWZl3Nz2NKVhnCZTuG91ezwEAgFLRd6sECVDKnVmrguXy8XY8RNY23CImpljEspUNi/IFTPdXDspl5ZlD0Wucbs9hELWhhDjBCqVTFKDIcvno7MvECWvcXJh7veMinhLuExen5e+vj5TmLN+ZTzVuhqsnIX5+bQZ/Pt11wc9jYpRIdfdHqLqKvz9erY+XaZFM30xyqvD0KOUOgCcl87vOGoUV6vZsPnYwpPm8/M/PcjGDe8x+5hjLZ9jXoaJtrD2z/j0jkQ8PpTSrinYvJSdLIlYXYcCY4eVaMY/prKCA80tWjrRcAgV7f5+n0Gzb65xkNVfdNfo6bR09UR1/FYdwnD5iJaXlfHmuvVR1lZzPSVSxkVEU4r6+nC53XGVh+GQq6piNPsb+i2udrEzzVZW4wTC68uio7MnEuhYl+naSaln/BoKmWdMnczmrds5a8GHLJW8eG1Px+V2o1CoYAAJL5Fqk8H4ylC66uz4Y49hzbvvsfAkLZKfsZ50ZRysJ0s6Xp+XUDAQVb/Gukq3kmdFXm4uzX57hQisZdLLWb5wEQ1eT8QaaKcQWWGWNVVZ7CZ6lVVVNNTXUzNzlu29RpmunZQbldK6dOEiPB4PobAypP8etfT3FQMtc6KyG9uL8ZrO/LLIRtn+thdbT6BNLnTlzuibWiIu9piiCkT1f4a6StQOh+I9y8/Lo72zM2ZFxohuZS2LU1cut4s1+1pgVL9MxmgDmd6E5jBwjhrFNRncbjeLP7GEJ5c+bqm4GhU14yAbNRiFO5hyfyuLa6p52OMD1X9tweal1G66OKWlJSusOrimrOK4z/R4PFRVjGZP3X6mTpwQ9/lGy51xQAJwu1yoULTfrn59JpZtR5eV0dhsnWTCrAyBtTLOOZ/F7fUSCPTy702xrt/D3cmNqaigrqHBVsHTB02zld84afJmZaP6Yv12jW4dRuwGp6GSfebUKfz9uX/FnWAAMfIYJ0IiomWjC/axa722E3rivGDUxGk4OeHYY/jV/z4Qd1OncWKhKw56a9WUIW/UJqada939EUkSvNNWDEV9BYvK6ep8G7BXiHR0C95WgzJUunARHreHzp7eiJI3cV4wRiEa6vLHq4f8ggI6OtpNMkVjfJ+23np1VCrrlpW1uE+6MMqtA7T6MiqvA+3X45Xd7pwv7OJkhXGyrltaW5Y9xBs/fgTo32fh83rp6+uNUsbt6mo4+sHC/DwOdkb7fFvtvTBOMLb+9JuRuoJllC5chNvtJhQKJpTJYeThKK4mzjv/Ah76y5/ZX7ePquoxCa+3VIJ0zvms5uOqglG+Ru1hX9dUXp5kw5wkGugmjB3D7r37mDpxgq0/npXSavTJdYUVV2PcVyurw3BRVlLMgfCO4URZfeLVl8fr498bO9m7TfNXHIrBaKCMKiul5WAroVAIl8sVM6jo/5oteC0rayPKm8enpRtWoRC73vHGymQzCKVrcJoxdTKbt20Pp0q1d8Ux1s9Wgy9uy8paFp/zWe73+Ni9NgC+/lWMTNXV7BnT2LF7D12dneTm5cXUU4zSarAK6TJ5z/wMwUAfSil2rdO65BhlyFAn8axeQ1F3TVnF5Obl0dXVFTc4v97+yv2tbF21jPuf1TJEnp3no2xBLZ75iwgaUjFbKa+QeKUo2TInoqCggI62dlsfZOP75F72ENtXNLK8M9yXrGikbIG2MTUUCERtJjTH7E51spFs326F1+ej19+bsJ4W14zDHVZazTL5vF4+aI6OPmKcPOllHK73qiA/j87OjiiZCkzXtNcsibgH6EprtFy1muJqmGREfpuZ2j/67z78I1Z6CKds/Q2aSLXANUqpGMfZZK4TkR8DJyilLkh7wQeAo7iayM7J4Yyzz2HFsmVc9rkr4l5rVoKaVy1j+4pGppw1mrIF51Dub8WdX4IKdZFXMt9yF/hgOi074nUyYyor2NrSwbEW32tcRtHl2vrTbwJ6bntNeQ2Vj6O7/RB2C87D2cmBtqzZaQrWb+54wbq+oH/DQXZ+AaHudiB2x/1wy+Rxu8nKyaGrq5Nle6P7Hl02O3kgbJ10uXDlFhLsagXKyTQVo0bR3dtHR0cHy/e1WyrjuiJkfJ80+idO7rxi6D0IvqF9d6zexUR13lYwmlHl5Rw4cIC1e6xDzZmVVn2Q/UJYJrfbjS83L9z2ShKW02wZT8dEw+1yEQzGrlbomK1d9z+7l119bUzwao4pzauWMWXBRwj09RLq84Ntb9H/u6fDUmlExEVI9a8UWU0w9Pfp+R8/wp9bjVEIRtG8ahlFZ1+Gy+OBvvhh0NLRr1vR19dHH9GTQLPf+30XT4worVYylV9wFZ2trbbKgL6aMRQKeTL3t+aURFxMdHmM6O4ci2vG0bLsoUjbAyLtD6C4pITde6I3uGoTpyCZMrKki3D61kfQNkW9BNwH3Ap8PdXrRGQe8N/Ai8NQ9AGR0XBYw0VAPCl1JGedex7L/v181I5EM/GUBujftX3OSVMIBbUBzegob8z8kw7s5JWCUroMIZJqN/VGWSgX11Rz7aRcC6W1nxn5bgK9vYT8sXFG44XzSbX8xk88ukoq6enu5qlN9hu07CYZOuX+VgrKygm0NcUovOmsp3jk5OTQbRHmSyde+9PPe4oqCLRGh2zS295wDa46B7JLKC4u5u9rtlhah6wUPDPl/lbGja9mdIV9nQxELrt7zO3Qql0qBcs/aLSVaXFNdYzSaky7W+5vpXDUaAJtsfLGK1+y8XAHQldnF+3KHRWc36hAGOXSLa1mXC4XhaMqCBzS2p+V246RZN71wVzfevAgu/wuW8vkfRdPjPR7Eesd0crQ6N5DlI0ZT2XVTtprlkRZW9Pdp1txoLGR/NJRtkkU9Ilg86pltjKNra6i7UB91H16XZlXr5Lpk+OdT6o/7+gkz7R6YS6bURm3o7KqmrYDjVH3HcFcCKxRSj2llDoI3Al8JtXrRMSLFkv/vmEo84A5qiyuycwYy/2tqJqZZGVls/6ddcyddzxgrbzoSoPdy9OyspbiytMIqV6UCiDi0ZzKBy9KUlh1EDm5ObQ0t9guqcdThHREhKLRlQRaG/BVTI7q5IxW22QGFav6sPPftbve7fbg8XgI9PXy7+0S6ezMlkl9J62dUlRQWs7B9uhYj0aZBqroDcSS1JRVTG5uLrUbdrKqdbSlQpRMXU2cUEnjoQaisyhHf89gypks+vcUFRXT09kOlMVco/vgGevHrOQBFI2u5EBLPXhjl2mN1iEzdvINhQJv5/qgtzuj0mpF4ajRHDzUiJbFOpqBWrwGQ1dXJ77sHGI9pGOXnuNRM3ki77c2MHHe+KS/O16bHExdtbQ0UzZhpqUyFHF5iPKVtKZszAT2HNiNlto9ViHS62s4aGxsJL+klPctlNaJ84JcO6kgyiJuRXlpKcGebkK9PUCe5TVWMg2mLuzaclNWMZ2du+lx+fBa3Ndes4QnLrZwe7BgZlkBbc2NTDzVWmHVx/Q5NdMGJMNhxnHAWsPf7wEVIpKvlOpI4brvAsuATUB09pfDiKPC4poqIsL5H13Ev/5p7UtmtqKYMXZ8n5g9Hl9ZFR1j51s+a7hn6Lm5eWyqa7L1A02kCOkUV1QzOydxCs9E2Fmxkrle/xvA5cumzyKBAPRbJptXLYsrW+Go0QQOaXU3lFbXVDt4/fqcnFx6LWTSFIfqyKRp+4pG28G2qLwyIpMZs0wDtXglqj/jsW5PNis3tVgqD3od3f/sXpZ39toOSsWjK+lrrY85nijov1UZh0Jp7ejt48XtfUnJZMf8GVMtrf12Fq90oT+7q6uL/T1ZSVvx7JSiMWPHMcU78H4ilb4hEfX761jX1u+KYbQiL66pjvGVNFoljZwz/zj6DuwB7K14etD7dNPU2EBDyNq95L6LJ0Zksqsf0CzjY8aN4+Sixii3CTNDLY9dfXZ2duDLzrFMSnL9Ze6otrerr83STQBgTFUF7c3Wbe8IpBCI+CoppfxAIHw8qetE5BjgEuCH6S7sYDmqLK6pcPa55/HQgw/w2qsrOeXUhZHjuvXNakOCHd6ycfR07ok5rlvzhnOGvrHVH8mLbvYvvHZSLlsfj7ZG2mVYKiyv5FBTfexrMYwYOz5vVhYvbGzHU5QTdY3RknL/s3vj1tP5x89i17tr0l5WSM662RFysXJbB9mmpHnGDTH6IHt2ni/iX20kv3QUwc27mLggaKlYxStrvDIOZAc0gC87l5ApZStoMrWsrI0MslZKQ/MqbbfwR4+fxYZX/kPZvORlSqWMqfD05jqCfX2R0FxRy+mXXWIpk1UbrKispOqDt7BO8hvLQMqfirX2je17cflyLbOZWfm12il51WPG8O6qN8EmiMlw9X2BQID6+gZGF5Zb7lDXN2PpPqC6PFZyTZw8mZyOxyg9L/HSs1nZG2pZX9+4DU/BGAo2xFpby/2tvG2QScdKpgkTJ9Gyfy8Ux7eMJxu3O1mMlle9TXe0t9MciPWJbq9ZEon2EM+CrFNcWIgrFCTU04kr29qSnG7WdAfY2xd/Qq2zuy8AMF9E3jIcvk8pFVm2F5EbgVssbv8rkGO4zoem3x00Xddqc90h4CngK0qp7mTi2GeSo15xtRsACgoL+c73b+IP9/6aU05dyOKa6qiXtiXc0VlhVh6OrRnHhg/20Vp5edRx47L6cJGVm8e+pnY6bQZ8Kx88iJXpjGOm8eyLr8KU/mOZkEenz+9HvFkxx811ZSWbTl5ePr093QyHFMkoHoFeP+KJLU2i9mckKyeXUd4e4icyti/jUC7VPr25jp7OdlwV+ZjXoBfXVNP8+LIYq6SxrvTNWaVlZXS3HYrUkzlb3XDi7+qgp7OD1m2jKXh/aZTrgp1MVpSUltJ1SBtj0uWLl2hCYqzbQ031eIqnEtilBe7S/fOvuMwdpYzHo2VlLVXVs2g78CwX2tSNUQFKpxK7a+cHFJSV47LoI+67eCLNt97C8s5eWwXcyLjxEzjUuJ/sUAhxpbZoac7MZ3XcfC4e9dvfx3fGGfg3rI06vmimL8ZXF+ytyFXV1WxuagLT6233TsVTYK0ss/HkMfcpy9/ZhLtIG2+M2fTKDMp4orYH2spp1ZgxzC09yBtdmVFcB8BbSqmL7U4qpW4HbjcfF5Fr0PxXdWYCW5VS5k0Sm62uQ9MF5wHPhZVWN+ASkXqlVOVABEknR73iGo+5x59AW1sbDQ31VFRURoVvMVu7QFPuzMpEub+Vksox9K15T0uERmadxH051hYviA2zoyurVlbXyqoq2luaDosGpJSit7sTV5Y2Szf+vnpd6cSzuObm5cZVXIfa2hCPpzfX0dvTRZYvNyZCgrn9xcOXo8nkZWDtbqiXpesbmik5tiTKDmC0DgFxLZMAJaVldLW1UqhUxjdcHNi7C1fpOBBNgTFmaQ0/EgAAIABJREFUyEplkC0t02TKMR1PhzJunpBY1XFrfR1NhWdQEI44qyvkZmXcrAiZ62x2WR69JoufjjHDoE663rGt779P+YTJmHu+sksvjmp7yZCbm0t2fiHB9gN4ivr7xlTrKt7SezJK/MGWFrraWjmwdxIFBrdF3TLZSrQLh7GuzPVUVVXNGxu3suhjvoQuN8nKYL4u2To9sPsDfJPOhNboCAlPXDyOrbdeHbffs5Lr0IEGFp0wOSbm+BHGU8BdInIamt/q7cDDyV6nlDoE/W7FIvJ54DOHaziso8rHNVXrkcvl4vgT5rPmzTejjusWByuslLyCstEED8X3HxoOnt5ch9vjhWBfzDljpxJPudMpLimJWIggs51BT0834nIh7mh3fmOZklHyBCEUiP5trOQaLv+13u5uXL5Y14d47c+MuFxRsTT1Z2QCpRSBjoPU7ejfmKVvnkslM5TX69ESYBjacaZkat67G2957Dq4LlM8C7KRwqIiejrao+RIp0zx/Eaf3LiXlro9kBu9bKwr49tNE4x4jB5VxsGWFtsILXbvkf6ODdV7tn3bVkaNmxh1rL1mSVJtz1hn+rVFoys4vrB5SMo2UP7ywitUTJoWmTQBUZMmYx9hVVd62EaAsvJycvo0R5VFM32RTyZo2v0BvvKJUceMMpkngvFcVSqrqugI+7lmUqZ0o5RqBq4EHgT2AI3AHQAicoWIbEt03UjicDCYHdZUVlVzsKU/K1O5v5UWi+vsfEGbsoo51LQfT3FFjE+pznDGk/N3dSJZ0f5D+sts3LhkJw9oMv1txb8oGzuRD8+MnaEPRJ7B+IK9v3kzZdXjWWQoS2QDXZJL6k1Zxfz1+ScJjEp+I2U6lzY7DjYTCgZw5RZFjukymZef40009m/dRE/xFLItzg13HMMDuz+gsKiA/JPy2LVOOzYQmf68bDWF5ZWWbhTDTXf7IS2ubBhjjEkM0dkSKXkN+/dTUDoqXcVMCX9nB56sLPD0T5oGMsEAwtmLQgzGY85OeU2l/fp7evAVaiuexhin5npKROnCRTQBLreHUCjEomN8MdFUhopE/YtSCrfXy8R5QZo3a8f0UFEtyx5KuMnMSDAQ4GCvffjH4STY14v4+nusVNuecezKy8/H33p0bNBSSv0D+IfF8QfRFNW415nueQB4YGhLOHQctYprskugvb1+CouifcOS2XVv5LW3t+IdPSnqmDE71XDSUrcHb+nYSNpQTYnWdmom2rpRtuCcSMddt3UT1dO1nN/mxAWpEM/ikuzz3n7jDc49Y2FUWSIJFBLUlVGmvZvfI3v8iTHXWC1pGsuZjjosatzOuNlzOXt2NrWu3qg4tHb1ZDXZeGfNu+TPOS/meCaCb7v3bGTS3JM4IGII+D4uRqZ4SmtTVjGNO7dROXkaHRbn7eoqXfL29nRz7PhSdo0OshNNITJPBJNRHPbu2UNRRX8Zh0IRGmjbXDA6h2fy8hk1r1+mK2ZqKUPZl9zqBWhKnm5ptfIFHaw1NZU+QlwulAppk1v6J7fJ9BE6unUSwuHPlIo8JxNk5eTh7+rkwpk+7q3pryejTMm0PQC/34/HF+v/mwnE5eLD09z8x6e1P73tWfmLJ5IvJyeXcbkD28DpcPhy1CiuqeyoNeZ7P3jwIKMr+n2TzbO+eINs6cJF/HFzHcGOFtqDs6Ei+nwmlIeW/XuYN3siOzHluTf8PvGsrTptTfVMO/HUqGNDpbSar0n03PXvrOWLX7qe2eENdPr1el2ZfZF1zHLu3bWbUcf1b64xD0jGDXpWctidH0g9r3nrTcbPnhdTjlQsXk9vrqOveW/MslumePvNNzh28eWcPDnaSqXLZPcu6Uua+gSjs7WFumBJJKBFMpPAeO1oMEpuZZYQysqOUoislPFEdHZ0kJWrbSBJVhFK9v3RypS8TJ0dHfhy8ixlSkbJMy5Biwi5eXl0t7eRU5C5ECR72nooL9GUaH1lRl+RSQZzX5FbXMKhxv0pl2Mo/Sy92dn0hSPEXH+ZOyzTuKRXmYxkZ2fj70o2pkV6EZcrMuHRreKpvk861WPG8vKLK6iOnbs7jGCOGsU12eDdxmv27d3LW6tf55ovXpfy9xln5x1doxHVGLWzO1Pp5lrr65g2/1RmT49d4tfKnJz1wZeTR2+P9SYvnaHwT0vmd2pqaKSqekzUMTuXjniIuMC0/z6VeopnPU61vvft3ct3rrqGSZP7lXGjTGfn+eJGSIgQCoK7/zVPZsBMl7XyQGMjl5wyh5cauqPCyqVaT9l5+YzvbeZUCzeVeFjVw2Ct6L1+P9k+TZZEEwxjXRmVO4BRo0fTuXa95XfEs/gnSyoyiWBpTUzVTUB7ljB9Rg2TAi3UZzB2nsvt1vyiw0QSeAzweZPmnMia557kuHOSy1xmbqfJKrDx6i0UDOIyvdupWJCNTJ02ndZ9u1AWkRLiuUKY5RoKhVzEBUrFtD2zMp6MNfm82ZO5e89u2pubKCjLfNprh6HhqNqclShLkPFYV1cXP739Vi793JWUlJYOKmONKpiGNLyIHFgd80IOJyoU4mD9PorDS5KDKUdB2Si2vfkqwaCWUzodingyz+zr7aWjo52i4sHvfnflFtJbv2PQzxkswWCAxsYGKio1S7/d75DMJjrJyiXQEu3EF8/yaKfIDXYS0tPdTVd3N4VFRZHvH2ibKa4cy671b9PecsDS2ppot3YyG3+Slbejo53TpkTLMZC+YtLkyex7fwP1O7ZEHR8KpVUn2Xrs6+sLa6/9ZdBlSsWSpyu6H1pwKg//9S+cVZWXln4iGZlCwQBK9U9K9XIYs7SdnedL6p0CuO7C8+hub2Ptv5+JOm41kYo3udJTbse7xq7eejra8WZpy/uLa6ojSUkGQmFRERMnTeaNZx6N+p30chnLGa/MA5HDSF9vL8FAX9iIEJ08ZiB4vV4+/JFFbHn2YULBYd8Y/f6m3kP4VeLv7Q4F2NrbDrAl0bUOw6i4isgrIvKh8P9FRH4uIodEpE5ErjNcN0lEVopIt4isFpGZhnOfE5G9ItImIr8TkSG1GOuKbWdXNzd999tMnTqdCy/+RKTTjpdD3UzzqmW0rKxlcU01E86ezeiPf5nsA0+Rs+1m1IZV9Pb6be81D65Wn4FQt20ToZxSVtTFBndOlZMuvIRAXx/P/+5nkYQGRoYrI9i2rVsprhrLs1sb4n5nMgPSx674PD1vPMa09jf6XSgywPat28grLeeF3YNL77m4pppzLrmclhfuo695X9yYjOmur82bNlI2diL/2FI/YN/LlpW1lPtb+eonP8IxZ57PM7+4heZ9u9NWT4l+k+7uLjZs3MQH3v4oCcayJOonjIPxxEmT+e6N3+Nff7ib7Wtej3rWUNdNon7k/579F2NrjokqQ7IZ9UCT23jt1R85i7nzjucbX/kS++vS087iyfPkxr3s3rCOMTNmAwObMOky6W3Q6/Vy7733snX1K7zxzKNR16ayCmC+LxnFT/9senU5U05YEDk/kAmTUaabbr2Nth0bWfnYA1HKa6okkj9eXd3918epmDSN7PyCQb3XulwAV1x9DUop9v7rsQE/byAopX6f73LzXEcd63uaI1m+zJ+1PQd4vnM/o9xelFKPD2shRyhpV1xF5HwR+T2w0HD4auBcYBZwPnCbiMwLn3sQeAnNI3Qp8Ej4OdOBe4BPA1OBY4GvpFqeRKkDn12zkUv/338zafIUrv/6N2xzkCe7QaHc38qimT4+cc6x/P2RB7jpm19i7dtv8eMf3jwopTRVZePPy1ez6vEHyZt1OjDwzhU0mZbMmcy9P7+LY6dM4B+/uo2l63YMaQibZDqt9rY27v7Nb/GPPsZWnmQmGXoHVz5+Eou+eiNrnvs7y/78Gx5ftz1yzXCFwHpszRbuuufXjD9mXuR7IbyknoLyoDNp7omc/olLOPTMHaxfVosKhQY8CRqo/Ht27+Jnv/wVk+aeOOB2Z5b7B1++luu++EX+fe8dPPXE0shAa1XGwbR1Ox5evYGv3fAdPOPn8J9d0WHYkqknq3jPJ578IX56192se+YRNr/24rC0OePzn3h3Jz+4+x62vvEqdeWDU4h0WlbWIiJ8+4pLWHThRfz4RzcRsMkkZGfVS2Tls5MH4OHXN/Cv3/+M0upxlFRGuxPZWSeTmeSW+1spGzWK3/32t2x981XqtmyMKluy5bUi0T29Pd289ND9lvsMIHmruPm6qdnw01/cQ6BhD+uX/TP5AluQquyBQIAf3fN73njmb8xftCTqnFU9xXMTMMrVsrKWqmAHN978Q95Zt4bKlp1Jl2ko2ORvl04VHLc70M2uvq6oCUFIKbb3dlIf8NOlguXv+tsO73RVhxHD4eO6MPw9xk3AlwM/VUrtA/aJyCPAJSLSjJa94VyllF9E7ga+JyI1aDl0n1BKrQIQkV8ANwC/HEihrJTX/XX7+PP99/Glr36N+SedHHVuIEswzauW0bxqGdd+++fagUAHJ5x4EsfNncePfvXbGH+ieC+6lbUs2Rnpo2+9T+1v7sR3/GIO+M/mwFrjru7qlJSilpW1lC5cFNnANu6Cz9AQXEpPZzvebKugS4lJZWZtTA/43Vtvpy13LK1ZSzi41s29a4Ncf1n/DtJk5GletYyyBedQ7m/VylFTTVH5nbzxzKP4OzuGzXKss+qJ/+NQ9liYutjWt8xuYLJK+bq4ppqnOY2KydN5b8XzKKUGFJpoMNaPn/z6d8w+7Vx2lJ0W9d3GdpfsYNuyspbyhYtoyirm7PM+zMzZx7DypRcRkai6svIpTNU1Jp7Mm1et4FDeBEpPuijy/Psunhjxm0xWHr2Nli7UfCWnTp/O7Xfdzd9WvJ5SWVPFSra6LRtp3rebkiU/wp1fEt7s019OPateMmjya++W3mdcvORT5OTk0GVhzEtFyUmlLreveY1R4ydx/EeikxHpvqBW9WSWUfcl12WKPGPhIigq5pyrvkJ2Xj6JHGaN6YkTxfOOJ2Pjzm2EQkEuvuFWPD6Dr/gAJrY6eh3l5uVx480/4m+vvJX4piSwk8Pc/h5etZ76HVu4+IZbKRzV34cZ68lYL3os12T8XFtW1jJ+4SK+e9MPcbvd1BsWO2s39XLTRalKlRpKqb0i4il2eQPv9rYz3ZtHCNjS28FoTxb7+/wuNRgT91GIDNfvJSI70TIxvB5WUE9XSm0In7sOzQL7F+AmpdSJhvteB24DrgKWK6XuDR+vAVYqpRIGP5w/f756663kXsRQKIQrThq/P1XPALTO7P8OfZDUMw8Henp6yB6gYnm4EggE8HiOrP2FwWAQt/vICt+ilLJduXBwcHAYKYjI20qp+QO9f05Wodre14UA03x5rOk55HSMAyBTo34hcMjwd3v4mPl4vHP6cUtE5IvAF8N/+kXkvUGWOYaHMjsYjwKscymOXByZRgaOTCMDR6aRwZEoExyZcs0YzM3v+NtERLKB0JqeQ0Pvw3SUkCnFtRWi0nLnomUvNx+Pd04/bolS6j7gPgAReWsws6TDEUemkYEj08jAkWlk4Mg0cjgS5RKRQftQKKV6hqIsRzOZCoe1GTjG8Pcs4B3gfWCmhGNhhP+dAayPc4+Dg4ODg4ODg8NRQKYU14eAb4lIqYicDHwWeFwptQ0tjtk3RSQH+AHwXngT19+AS0VklohUh889nKHyOzg4ODg4ODg4DDOZUlzvB9YBu9BCXn1dKbU1fO4K4FNoezTPAa4ECG/k+h7ats6NwHK0zVzJcN+QlfzwwZFpZODINDJwZBoZODKNHI5EuY5EmUYcwxZVwMHBwcHBwcHBwWEwHFUpXx0cHBwcHBwcHEYuR7TiGs7atVVEOkXkMREpyHSZUkVErhSRnSLSISIvicgM0/kfi8jzmSrfYBGR2SLiF5FKEckRkb+ISLOIHBSR/xORvEyXMRlE5Psi0mP69InIFeH0xs3hz19HUjsUkS+H298hEblPRHzh45cbjj8pIvbp6A4TTGmnc0XkgXD66HoR+ZWIeMPnbNNOH24YZTIdt+wXwum2XxaR7wxPCVPHLJNdWxORE0XkDRHpEpEdInJN5kqdGFP7KxKRR0WkNVz2Txuumy8ib4fb3yYR+VjmSm1NvHFJRCaLyCbT9dnhvr1NtLTtXxv+Uscn1bE2vEfnn2H9YoOILIx9qkM6OGIVVxEpQUsXewMwFhDg1owWKkVEZBpwL/AloBx4Hm2Tmn5+HvDfmSnd4BERN5q/s55a5f8BVcAkYEr4/yNCPqXUbUqpbP0DnIYWCaMAWAwsACaH/74lcyVNHhFZAHwfWIRW9unA/4jIXODnwKVo75YP+HamypkIsU47/R2gBi06yVzgJODL4XOWaacPJ2xk0s/F6xe+AsTmCT0MsJIpQVt7EPgjWjzvS4Ffi8iEYS10EtjU1V1AEE2mK4D7wwqfoLW5J9DioH4V+KuIVA1zsW2xG5fCyvjVwOMQk6Dvx0ApWt/+UeAWs2KYSQY41v4KaATGoCVJWqpP7B3SyxGruAIXAmuUUk8ppQ4CdwKfyXCZUuVsYIVS6jmlVDfwM2BOeKbnRVP6RrKz+DcBY27LAFqHp6eOcpMwkeLhh4h40DYOXo82WP1WKfW+UuoQ8Bu0TYcjgYuAh5VSG5RSzWgd9aeBq4HfK6VeU0q1o2W1ezCD5UyEVdrp84C7lFJ7lVL1wP8C54jIeLS007copdqAu4GJomXqO5ywkol4/YKITASuA55Mf/EGhJVM8dpagP6+wgX0Al3DVNZUsJLrIuB2pVSHUmol8CJwMdrksAS4UynVqZT6D7ABOGV4ixwXy3EJzdiwAKg3XixaWMurga8ppZqVUuvRfpOm4S12XFIaa0UkC1gCfF8p1aqUegRNnrMzUPajjiNZcT0OWGv4+z2gQkTyM1SegfAU2oxb5wS0jrkN+C5ahIU1GSjXoBGR6WiD0A8Mh+9Fm+22AM3h//9x+Es3aK4DdimlXkaT7wHDuflAXSYKNQB8gCGzN4JmMTkBcInIGhE5APwE2JOB8iWFUuoHSqlr0dqUzrXAvw1/6/UyB9iklPKH7w2hWc6nDlNxk8JGJojfL/wRbQWqw+JcxrGRKV5b+zJwD9AHrALuVkodTsoQYCuX3bu1B1gYbneISCGaMns49Rl249L6sJx3ma6fgjbB+HTYTWAHME8pdTgZJVIda6cDHUqpvYZjGzjM+okjlSNZcY1KERseiALESRN7uKGUalBK7QQQkU8C/6B/ifMS4IcZK9wgCM/A/xdtBt5pOPU9tEG1Cm0JrY2R597hQltSuglAKbVNKdUsIl4R+QFaJ3hzJsuYAv8BLhGRiSIyCs2Vw422hLkEzfo6HRjPCHF/0AlbkdtFJE9Efg18Ak0pipd2+rBGRI7Bpl8QLQV2g1Lqn8NdrkFi2dYMqxo3omVRPB+4UUSOzVRBU+Q/wNdE8+s/DTgXcCulupRS7wKIyHHAy8BLSqnX4zxrWLEbl5RSAZtbRqG5SI1Bq8PLgd+E3UAOCwYw1o7YfuJI4EhWXKNSxIZ9TzzESRN7OCIio0TkabRl2muA3wJ/Ar4SXtIYiVwPbFdKvWA6fhHaEll9OOnEHWgD0kjiY0CjUupN/UC4g16H5it6ilJqdaYKlwpKqWfRlINXgTfRVjAaw6f/EFbKW9B8EEfcEpmInA1sQvPfPV4p9QHx004ftoQnTJb9goiMAf4H+HomyjYEWLW1OUCBUuoupVS3UurfwHNoLiAjga8CE9EsqXei+VQ2guZqJCI/Blai+Vkedi5u5nFJKfWbJG67KayYrwL+BZyR1kKmSIpj7YjsJ44UPJkuQBrZjObnqjMT2DqSlD3RdtSvRFsGq1FKdYhIEZoP3nOaHz9utKW0eqVUZeZKmxJnAh8TEWOHvBNtqcVIH9DJyOIqtM0JAIQtQC+hbXL6jRpBgZNFZDLwpFLq1vDfV6NZw0sAr+FSFzBi3ivQNsygKQXXKaUeNZyKpJ1WSoUkOu304UwBNv0C8EVgHLAnfM4LhETkeKXUp22ed7iwE+u21gValATDOzWS+oupwOfC+y8QkZeB18LnHgifnxOeTB1WWI1LCW7ZGf73sO0zUh1r0dwfSkSk1ODyMAvN3c0hzRzJFtengNNE5LRwhIHbGXkpYj8L7FdKXa13DkqpQ0opr2H3+heAF0aQ0opS6pNKqSyDDKBZH55E27VeJSLlwLfQdteOCMI7gk9H84fS+S7wC6XUr0eS0hrmBOBxEakI7wD+Dtomhb8BXxaRGhEpRdtk92ic5xyO3Ax8w6S0kiDt9GFLvH5BKfWMUspnOPdX4AcjQGkF+7a2Fc1n9Fvh5faFaJseR4orxHeA74gWlu1KoBpYFt7dvgi44HBUWsPEjEvxUErtR3N5uENE8sPRSk4Hnk1zOVMhpbE27OL2DPDDcPu7Bm3yOCJW00Y6R6ziqrRd0Fei7UDdg7YMc0dGC5U6xwFniEjA9DnsQr4MET9Be/HXom2mewdt2WakcAza8pHROncc8ANT/W3LTPFS5gn6Uyy/jGYxXoZmEfqd4dybaNESRhLHAX801Ys+4bBMO+2QER7Aoq2F/SkvQnMlakTb8f05pdRhu0nQxDfQdtYfQHMb+IRSqg/NBaIYOGBqm1dksKxmBjIuXQKUAfvQ6upSpdThtOFsIDJ9Dc0HtgUtzNwSpVRwOAp7tOOkfHVwcHBwcHBwcBgRHLEWVwcHBwcHBwcHhyMLR3F1cHBwcHBwcHAYETiKq4ODg4ODg4ODw4jAUVwdHBwcHBwcHBxGBI7i6uDg4ODg4ODgMCJwFFcHBwcHBwcHB4cRgaO4Ojg4ODg4ODg4jAgcxdXBwcHBwcHBwWFE4CiuDg4ODg4ODg4OIwJHcXVwcHBwcHBwcBgROIqrg4ODg4ODg4PDiOCoU1xF5GsiconNuS+IyOVp/O6JItJj+L8SkVqL6/4ePjdRRCaIyJMi0hz+PCMiNabrlYgELD6nGq65XkS+Y1cew3Mqh15yBwcHBwcHB4fBc1QpriJSCFwBLLW55EHg6yKSk8Sz7hSRkFmJTJEAsEBEigzPzQVOC58DeBx4GxgHTAXeAP4tIh7Ts8YqpTymz6uG8xcC/xhEWR0cHBwcHBwcMspRpbgCXwCeUkoFReRjIrJZRNpEZKmI5Cql/MAK4Op4DwkrtlcAfwb+X4JrvyAiDSLSDHzJdDoILAc+Zjj2UeCV8Llc4ETg10qpLqXUQaXUbcBrQEWyQotIATBOKbXBrjwi8l74v3tFpMJw/CaTFVeJyJXhc+eLyLsickhEnhWRcYb7LM+JyJkislFE7hWRThFZLSIXhq9tEpEbkpXLwcHBwcHB4ejiaFNcPwksF5GJwF+AzwLVQCnwjfA1y4HFCZ5zOZqCezNwmYiUWF0kIlOBu8LfOwWYZXHZE+HzxjI+Ef5/F7ABeEJELhWRMQBKqUuUUvsSlNHIBcC/4pVHKXVM+L9jlVINhuO36BZc4GvAbuBpEZkA/C18bBzwDvBIWG7bc2FmApvoV75/g/abnw782GiBdnBwcHBwcHDQEaVUpsswLIiIC/AD5cB1wAyl1FXhczPRFLYXwsrh+0qp/DjPWg98SSn1qog8BryplLrL4rrvAZOUUteG/z4ReEUplR1WnjcDo4FdwFg094B9aEplA1AD9ADfRFM+ZwPbgZ8rpX5v+B4Vls3I+0qpOeHzD6JZhxfYlcfwnCqlVL2FLMegWXovCMv9HWCWUuqK8Hkv0Bou++fjnKsBngRKlVJKRO4DOpRS3wxfewBYoJTaYvf7Ozg4ODg4OBydHE0W1zI0eQ8B44Ed+gml1Cal1AvhP1v+P3tvHibHVZ6Lv18tvXfPopnRaLOWSLYlr5JlG4ztRGwGErgJZgskEEggEEjYjC8kITeBBMiPJOSGS+CaLSFAclmCIWEHC4wBG2PLtmTLtrzI2mfrmem9u5bz+6O6Z6qrT1Wd0109kux+n2ceW91V1VXV1afees/7vR+AdNMP2wEieqazypJ/9J8AvIWIVM7i6+EolC2c8C7AGCsAuA3A8wE8Fw4JXmx9HIBpxtiNjLGLAYwA+CsAf0tEv+bZ1CbGWML11yKtKoCnw7EfhO6PzzEn4CimH3Yd90YAj7iOw4BzbidC3kPzmFpPTDaAgucjn0rX5QADDDDAAAMMIIinEkFoFTMRgDm4PKJE9HRXmoDt+a8XfwLgY61/MMZuAzAL4Lc4y07BIcktnMNZBli2C1wP4D9dr18Hpxir9VkFxtgXAHwPwCU+2/LiGXDIsCmxP178PRxC/zeu12bgEGEAQHN6fwwOMQ56DwCeGjL/AAMMMMAAAwwQKZ5KxHUGzrT7CBxy+DIiuoiIVgH4CIBEc7lRAFXGWMm7ASLaDMeH+QXPWx8F8DbOZ34VwPVNYjwM4M989u0bcNTWXwfwddfrPwMwSUTvJqJxIsoQ0fMA7Gm+J4IXNbcvsj8WHIK5BCJ6IYBXAPgdxpjlObaXEtFVRJQB8JcAvsUYWwh5b4ABBhhggAEGGKArPGWIa1Nx/AWAixhj+wD8KYBvAngYwO0APtNctOXl5OEtANIAHiKiY60/AB8E8Awi2u35zP0A3gknfushAN/12bc8nMirBxhj0663CnBU12vg+GGPA3gPgN9jjN3p2cwxTo7ri+B4Y78tuD/fAHAXEY27Xns7HLL/uGu7f8EYuxeO+vxvcB4KtgP4o+bn+L43wAADDDDAAAMM0C2eMsVZAEBENwAYYoy9N2CZDwI4xhj7mN8yAwwwwAADDDDAAAOsPJ5qxHUYTozV5U0F1vu+DkeVfQZjrLLS+zfAAAMMMMAAAwwwgD9Oq1WAiN5CRCebTQD+m4jWkIN/aAbXnyCiN7qW30xEtxFRtRlcv13m85oey/8Lx7PJw6sAfGJAWgcYYIABBhhggAHOPJw2xbWZC/pjOJ2i7gfwSTg5pj+CE1z/fDiFUnsBPIc5HiYvAAAgAElEQVQxto+IfgLgVgB/C+APAbyKMXbpyu/9AAMMMMAAAwwwwAArjdNJXP8IwJWMsVb70N8A8D44eZ+fZox9vvn6RwGUAfwzgAcArGKM1ZsNBfIAnsYYe/B0HMMAAwwwwAADDDDAACuH02kV+CSA1wNAM5LqVXAini4GsM+13P0AtsLJLT3IGKsDAGPMhlNpv3UF93mAAQYYYIABBhigKxBRjIi08CUH8MNpO3nNbkogotcDuAlOxupz4FgAFl2LFgHkmn+Lns203usAEb0BwBsAIJlKXbZly5bQfVKbMaUPPfIYtm7eBGh64PKHDx/G+snViMdjba+fmpqBTgxZxYZZrqJWdV5PJIH4+DgKWgoAUC0V0ahVsWHduqV1C3XD9/Ny8eX9ae2rxW3YtQzbZnj0kUPYuu1cEAUuCgColCuYy89h0/q1S68dO3ES2biOTDIBq1KCWXYOSEsnERubhEUqd7+njhzG5s1boGmd+6i6ImHDjoGH+XwehmliYmIicDmrXsOR4yewdfPGjvdmZufATAPDGnyPqVh3+lBk4woWpqeQSKeRSHd2A3Z/N92gXq/j5IkT2LR589Jr3nPq/ozZ2VkQCBOrhtuWOXb0GFIqkDAM1KrONdc6pvmGcyzFug3bNNBYmMb4ug2RHocX5XIZ8/k81m/Y4LuM+1o4fvIUsukM0s2RqWGYODG3gE2TY77XHtB+rnTbxMz0NM7ZuDHwHIbti991OTM9DVXTMDo66rtuC3P5BZiWidXjy/HIVqWEx07OYMP4KJRGte2Y1FQGSA91HBMATB85jLF1G6Confvld1yi48TMzAxURcXoqlHu++5jW1gsoFKtYe1k52/v8OEjGBvKIGY1ltdNZaCmMtzvan6xCKtaQXxkvGNb2Xi7ruI9Rt75dmMuvwDLMjHRPPfec+Bev1gqY2GxgA3r1nRsxzBMHD5yFFvWjMOqLMd7q6lM23/d23cfYyE/B03TkMoNBR5P2HFVKlXMzOWxccM67vs8PH7kKCbHx5FMJpZes22Ghx99DNvWre44Ht6xeI8HAOqVMirFIkZWT3YcS9j34t32Y48+ig3nbISuh9ORfD4Py7QwPjHe8VnHjh5DJplACubS8biPzfvZrWOayPl2d+/AXXfdNcsY67xYBTG2+gqm6VkQEYhoB2PsYLfbeirjtLN+xtgniejzcNTXmwGUACRdi6QAzMPpdZ/0rN56j7fdm+AQYlx40UXsS//5dd5iHRg1Crju5b+Lj/7fT2FsPPj6fP3vvRof+tMbsG3zprbX//LDH8F5uRiu0haRv3M/Du53GOP2ixi2/OGb8YOxnQCAQ/fchbv3fg+f+Og/La2797GTvp+3Z8uapX1sIa9zefsSjh07ij+98QZ87ov/L3C5Fg7cdx8+ddMn8LmPfGjptTfd+Kd46e7tuGzbZizcfSvyd+539uPyi7Dx9/8UeT3H3e/Pvv89ePcNN2DHBRd2vCdzDDz8y2c+BVVR8bu/99rA5SpHHsIf3fhn+Ma/fabjvY9++l+gLUzjBcOm7zHtfcKp09uzMYXPvu89eO6rXod1v7KtY1ut76Zb3HfvPfjspz6Jj3x0OYXNe07dn/G5zzrH87bfeUnbMm9/xztwRQ44/9RJHNxP2H4RWzqmrx4tO9t9ooLisUeQv+U/8Hvv/YDvPvV6TABwx89/hq/f/DV84G8/7LuM+1p411/9DZ73zF/D7oxjYXr81Aze9/mv4bM3vEH42oufeATf/tY38f4PfCjwHIbti991edPHP4bhkRG87BWv9F23hU9/4T9Qq9fx5te9Zum1xX234bc/+M/4hz98JZKH7+MeE9D5/f/dm16NP/77jyOe9A6D/sfV2qew39jH/ukfsWbtOrz4JS8N3A4AfPW/v42Dhw7hz9/+Jx3LvfoP3oA3vGAPNsw/vvTa8K5rMbTzau5xff3WfXjiB1/CRb/fmVC4Z2Oq/d+eY+Sdbzf+7cv/iZm5PN7xxj8AwD8HrW18d++PsfenP8eH/vzdHcscPnoMb73xPfjcjX+IhbtvbTsuABjaeXXH9t3H+N3Pfxqr1qzD7mc9L/B4wo7rF/vuxae+8O+46e8+xH2fh1e+8Y/x3ne+Fdu3LU9MVqs1POv6l+Or739Xx/HwjsV7PADw0F2/wP6f/Qgv+eMbpb8X77Zf+dLr8Y8f+2dMTKz2WWMZ//rZT0MhZWncd3/W/7zxRuw+dzOuoPml42kh6Dt683XPCP3cFojoCeGF29dTMkNbrXp1BsOrLgSzLSzOH3xgaGQ7CgsPKuypFO8UAU6bVYCI/qzVZpUxVgXwcTjFWMfgNAFoYQeAe+EE5m9velvR/O95AO6Let8SiTjq9XrocgwMPBHTME3oHJXRi1Q2h0qxEEhWW5Ad5FqYnZkJJeBu6LEYGo1G22vlahXJWMxnDX+s3bwVd/7iDun1RFAulZDOhD8pK6TA9hkTmG2DAmToFmltYWF2GkNjXT9sB6JULCKTzba9FkSySCHYrLMrsc0YFO5V6aB1TFatingqHbhPItdlGCzbhqqIDzOmaUJVl5cnIun+wPPz8xgeHg5fsEuQosC2xfbKME3oeqeyRgBk71WmaUDjbCsKNBoNxONxwf0woal8zYMxBkURmNppIjV5DipTx2BbHemEPUNRCIzzG+GhXm8g7jPGiY7nfrBtC4rEb8AXjEGh9u3k9VzgQ4lpWdC0zu+KAsYIoV0BA3rcxtK2JH4H1WoVCc6DG9D6vlkbYT0TQERrY/FRi9kGRsd3QdNS0GNZrBq/DIZRRDw5bhMRf6pjAC5Op8d1BsC7iWgLESUA3ABgP4CPAbiBiEaJ6Eo43tcvM8YegdPl6h1ElATwXgAHGGPHo96xeCyGer0WupwzSHeeQsMwfAe61pMfsExc+4FRo4BRo4DqySNYt2oklOC2EIvFYHiIa7VaQzIeTly9RO+yZz0P//2Nrws9BMiiVCohI0BcSSFfkmEz1kFcW4Oel7Q1ajUYjTrSnum+qFAoFpD1EFc3vCSWiMA4x8UY41pCvDc3s1bhKnde9EpebduWumlblt1Girq5NS7Mz2N4ZIT7XhRkXCFxQtQwDD5xkCTktmWB2TbXJuAH92+e9/tvjRGjRgGolhATfDg1LZN7TABgMQZFxJPUhBZPIjE6gfKpI8LriIJI/AGjbvgTd6NhQJM4717Yltz35rsdn992EJyHjPbPZtKPgj6Q3ZmgTQn+0mvVKpI+4xYRLYkUZwp5HRm7hGl65ng6uxHZoa0g14MHKSqGRs5HMrUGmp6ZGx2/bKC6CuJ0EtfPAPg+nIKsKQDXArgeTtHWPQCegNOa9G2MsUPNdV4N4KVw0gSeBeA16AMScUHF1fZRXA0DeshAtfeJSt+Iq/smNTU7i9Vjq4TXjXEU10q1ukRcW9OaIhhbsw7nnXc+fvj97wmvIwoR4jpqFKCQ4ksybNsWvskuzE5jaNV4oELbC0rFIpe4+qmuRErHDWhx322w7c6bG28Qt+pVJFKpjtejhm1ZUjdt0zKhem+0ksrk/HweIyP9EzBkFFfTNBHzU0kljstRW2ORXX9eIltvNDCqWm1ktrWMd1nTtLi+dcAZE72qYBiy638FpaOPSK0jAlnFNeHzcG6Y/kKECGzLhKL0Tlydh1K5c2uaPg8ZvV5GXc5s89RhGSJdDSCuqsSDykqAiF5fLZ/A6NhOxBP+41EiOY6RVZegXHwcRPTiFdzFsxanjbgyxkzG2NsZY5OMsSHG2PMZY48wxizG2JsZY1nG2AbG2Bdd6zzMGLuSMZZkjF3LGOvKbxKGRDyORr0RuhwD4z51NgyxqaVYIoFEOo2Thx/raj9bcN9gvDeZ6ZnZpeIEEfgS15jYFKVXdb3+ZS/HV7/8/6TJRxjErQIBiqstPq1528FjGB4LLgTrBYuLi8gN8ae3eeRVUQhxs3NWgIVYBVowa5VQq0ALvaiUjKNqB8GZ2lz+7RCR9D1yYWHBV3GNAoROQuQ3o2EYJnSu4gos3n+n72d4z7llmJHZBHj7Wm/wp8p5ywZZBXizGGHIbtiG4rE+EFcZxbVeR0wPsAr0orj6KOWyvyvGgq1NPHh/T852eh+LGSIVXIWPK4i4uhXXMwQ7RldfgfTINiRzGwP/MqPnYXh8JwBINVV6quK0ds46UxGPx1ATtArwfnCO4hpe90ZEePoLfhO33ixWOBUEvxvnyelpTE6I+zL5xJVvFRCZjrl05y5omh6517VU4iuUXlCA6mIzvuLKUwVqC7N987cCzeltCV8mgcBsvsdV5B5g1SqIJ/uvuMp7XK2epmUB+XMpC2p66UTQMAxutTSBIDNjaxoNqCEpJ2HgPdi24HhcxawCjm/Xn7iqEh5XAMis/xUU+6C4Oj5wUauA4Xv8jYYBTe3+Vik76+AH5tFJRIpa/R4yevW4tray0qhWK0gklomr+xwoEt/3AGc3BsSVg3gshkYPvkxnsBA7tZdc80w8tv+erj8rDDNzeaweE1dcVVWF6SqUsCwLlmUFKg5BygER4Tde9KLI7QLVShVJAeIV9BTObL5i7sbth5z3rVqlr1Pr1WoVKYnt+6n9jDGhm5JtGtB9FCYZBJEhoFkAJ0NcLRO1R+/3bkVqnxYXFzHko15HAUfJE5yCbtS53lEigi0zRVoqIpH2V8h79e5alrgXudFoIOY3A9MFcUiMrgZjNqpzp6TWCyNuqqLAsoKjmVqo1epI+HhczR4V16hmmyhg9sgPvAenbryyXtim6UvGZVNiFInvqVwqI5Xmj5NE0Z3rAc5sDIgrBzzVkQdnGrPzh2LZtvAUtB6LAUSwzOiragEn+0+GEFmW1faE3iqu6cVbt/vyK7HvrrsiHVQM0+BWa3thB9yQ/RRXHtRYAo2avwofRdGPzDk2Goa/d1JgM6QoOJSPvmiO+1kyVgGuzUbu2iuXS0gHkLxeoagKbEuMuJbLFWQ4N1oiSPHx/NRJjDYzM/sBVVVgCR5TqVxBxuf8Kop/iocfiAij516K+Yf2hS8sAVVVhQlRtVZFymcK2vGJihPXKMYCHnRdg+lzn/Aji7V6HclEou01JlkwyUOjXkO8ud1ejzcRTwjNcALA4uJC20Op+6E5GhV5gLMBA+LKQVyYuCpchYFxYkuCoOm60Od1g4prQBZJFrAsq604RnSq1+ttdWPN2rWIJ+I4/PjjvsvIwjQMaAGB1a1jdaYu+fvPmDglUuPBxLVXyJJ6w2j4E1cRkAJmi93UVxKGpwraLyUhCOVyWcj/3C0URYEteO7KlSrSnAdHIkJmx27hz5yfPoWR1XK5ul4yE6SEaZomTPJK5TL3mAD/h/kwjJx7KfIPRzvzpKla2+xRECrVWltIvxuGaULrobiq23PiRUzX0TCc0Hwhm4BlwbLsjnHCZgySbo4OGPUa9Dj/fMkikUygXgt/iDYMA/P5PMZDms4AaMunHeDJhwFx5UCcuIKrLli21abk3WGXA7ej6WKf1w2q1RpSPgMyD17i6hQW9H6ZXLb7cuy765c9b6cFJ1tRQHFltn8lrkQhiRpLoN5qgdYHyBYx+eWDitwebz9EzvS94HT3SsIw2qdlnSIQ8fPCbBs1SduFLFRVFbYKlCoVZHyIqwyZyU+dwshEsOLai/Ilo06WKgGKKwFWF5Xduc07UD7+OCwjunFQ01SYpqji6j9OOikKPYyBzhx29+s3EdN1GKZ/Z0UvWvYH7+/HtuSLvLyo12qIBRBXGbtAPJ5ATWBsnTp1EmPj475RbC0MSOuTHwPiyoGoVcCJWuockJzpafGBQdW0vhBX27a5U0VBEFVcD+4n3wGCp77uvGw37vYhrqIZs244ims4cWUByQG2RJWu0mfFVRZGg1/0A4ipyKQo3OIuP/BIUVhOaDeoV0od07Iix9O65uq1GhKJREekVpRQlHaSF3Ts5UqFr7hCTmV3rALddzIL9YOqqu80tBelcgVZH5+hovDHxDCoegyJVatRnT4mva4fZFTkarXqO04apsFVXEUJUtD1K/Owoek6DEPcUlat1ZBMdPp2HYtUb7d+o1ZDTOK+Avhfg/FEXEhxPXHiBNasFW93O8CTFwPiykEiHhN6AvSrLrYEPUStm62mx2AY4k/SoqjV64jHYpIB8B7FleMRbbWwlcGll+7E/v33Cd8cw+CbT+iBFZDV6lTpiiquSTT6qLh2lAyHQKmXe7IKkKIKZ1z2AunuUJ5CQNn169UK0un+2QSAZtGPIOkvVypIc0ieItmAYH7qVCQeVz/yoKkqTFEVOcQq0G1ld3ryHJSnjna1Lg+qqgiPN5VqDamEn8fV6ilVgLok817EdB2NhoTiWq8jwSGXTtZub4prQ8AqIKq6inpcTxw/hnXrxInrQHl98iL8zv8URCqZxFRZgLgScacMZYLtgf55XMuVqpRNAPCxCkQQnj00PIx169bhwQcewIUXX9zTtloqioiqxgL2nzEbJPjs5nhc+0hcIVeCZBj84jSzMA+sCe+IRSvocZU5LtPikASJ31K9Uu5rYRYgX5zFJXkSVoFGvYZatYzssHxThbyeE1LDZawC5UCrQPfENbX6nEg7aDkeV+eYwkhUtRbice1BwZ8qW6jP1Nr6mHcDt8dVBLVajZuUYNk2qEeTa6NWQ9yH6MsikUigLjCbdeL42ae4qqufAW30ArFlT/0cOHZLn/foyYGB4spBKplEtSpCXBWuamLLtj3sE3GtVqtISWZ1dloFLKkcziC07AK9TiuLqq1A87vwGaRFFdfbD1FoqkCvkL3VGz4dmYQ5g6RVYKVgmHaH4ipzi61VK0hl+kxcFXWpOCvoWjYMA5Ztc4P9ZawC81OnMDy+WipWTBaapFWAl5QANJXkLrsXpSc3oBKh4ipjFahUQ1IFQhRXP2K894nK0pNbUAGrCDRNg2kavp/lfd2xCnAUV8n7kxd7n6g4iquAVUBEdY0nEqgJEVc5xXWAJy8GxJWDVCqJSiV8kCECPwRe0uPqFGdFH01UCSg48IPlCcuW7TUfhN2XX4Gf3vaTnqfNwvytbjLBbH8fq0xB1IoorhI3k4ZhcDsyAc59smXn8LN1nKnFWbxOPzLnpV7pv1XASRUIP3flahWZVIq7/zIdwfLTpzAaUpgVuL4AeRBVXG3bRqXKT0oAeldcK6eO+FpYZIvPHKuAKHGNXnFdJqrL6jqPvIoel7ziWkeC53GVnBHkYWqhHFic5UbY9RePJ1B3WQX2Pnay7a+FEydOYO269d3t8JMERHQdER0iojIRfYmIOrrwhC1DRFuI6ODK7XX0GBBXDlKJBGqiiitnjLZtS4rs9as4q1Lxb4/nB8vTK96ybagRpAoAwCWX7oTRaOCu+/b3tB2nd3g7afNTvoL8xrwgbj9f1EqkCsjAaBjQBdvw8tAPj2uvSjpjDIZltRXCyJyVvU9Umh7XfiuugsS1zPe3AnKpAo6/Vawwq9tkAU1ThXJcq7Ua4rGYr03H6VbV3XWlpzJQEynUF2YBRKVQiqnINR91EuhUXPN3+o9fvPNPkqG9fkTPIa6yxVmdx2QHPMwv7rtNaNtWo95WnBV23QWR10QygVpIcZZlWTh18iTWrF3LfV90v89mENEIgH8H8C4A6+FoFO8XXYaIhojodQC+jNPR9ixCDIgrB6lUSlBx5Q/Slm1DlbIK9Kc4q1KtIu0hrmHkQqQ4q1soioLrX/ZyfP4rX5Naz7vPpqdve+t93rExxvz3X2LKTGlGb5l9+J6WIKm49lScRfyWsacT+btuhaoo7bMVTauAb4KF54a5EsVZiup0+gn7LfklCgBObBQTJDPVUgGprFw3IlmoiphVIKj5AOAorsWH7+t6P1KrN6B8Khq7gFNwFq64mpYFwzS5lo7W+710znKm5pb/2S0h13RN6j5Rq/O7gXXTltcLqxEchyUDkTisudlZDA0NIe7T3ayFqmDr4H41iegzXgTgbsbYzYyxeQAfAvAKiWVWAbgKgFyLujMQA+LKQSqZQLUaPrgoCt/PJZvJqWpyA5IoqrUad6ooCPziLP/LRLa937Ofex32H3wQJ6empdZzwzCNpe5eXvLg/XeQuuCnDPkREiWWRK1ckt1dcUioro5VgE9ciw8fbvs3j/Q9PqudcQ0IjB6rtwGgUav6qpwt9HrTUlUVtsC0+mKxiJxfIwQJxdUKaK8ZFTRNgyFAXKdnZjE64t9O17EKOP8fpEz6ITWxPrJILE3TYAoolE5KQtJ3nDANA6qqSlWpt5NTimR2Q1NVMMYkuoHxi7Oc2YLeiKvdqEEPIZGiSCTioR7X48ePYc06vtraguiD4FmMiwG428sdALCaiDIiyzDGHmOM/QGAD/d/V/uLAXHlQNd1IfVB9enMYlpyBU2Nek16Sl8E8Xgctbqcd9ZoGO291Xttas3Zp00bNvREXB3FVTwQw+8IZOKwACCzfguOPvKQ8PIySMBC0ghuVOGGYRiIx/kKkRBUHbZEmDkgRvi8pD8sHsm9vGFZHRYQRVFgSRB68kRV7dnSffapH2J6TJDkzWFifBX/TcmH26h/h17kshkUSuEPZXfvP4BLdmz3fZ+IYPdAIJhtgQQai4ggEY+jJmDBmp9fwOjIiO/7PSuuzI6ksI6IkIjH0RAc04MyvHu9nJhlQRUskA1DOpNBOeTaO3niONaeZYkCXWI3Ef3S9fcG13s5AIutfzDG6gDM5usyy5z1OCOIKxFdQER1Ipps/vtGIppt/v2Va7lRIvpW03R8PxFd3Y/9cSpsw59qY7EY6pxcPdmCpmqphKzEVKCoypnNpFEqiZMhAGg06m3eSSVEGerG15jLpLFYLEqt4/4cmVQBwN9dJluxvnv3Ljx+4F7ue70SJBk/HgDUGz22fFV12GZ/urW5oUikFxhmJ0FQFUVYYQKahY6SD2uy0AVTQKZmZzExNsZ9z2bivdX9WktHieFcDguL4b/lO+6+B1fsutT3fUVRui7OAgCjXICejuYeK5oOk19YxMjQkP8+GWZPPn+nQDSaW21c8JgA/+KsKMBsK5KYRADIZrIoBRDXvY+dPCujsACgtiWJyoVpob/6OXEA+CVjbLfr7ybX5hYALClcRBSDE2k6L7nMWY/TTlyJSAXwSQCx5r+fBeBPAFwD4DIAryKi32wu/r8BTANYB+CvAXyl+cVECk1VYQmQCD3Gr/K0LVvKQ1Qrl5DLRf9AlMtkUCzLEtcGYrHlwU60EEUG2WwWxaLYlDuPGDsFZGLENVDVklS9tlxwMR6//75IwsTdGDUK0sS14VXGXRDaOy0Ou59+XTjHpUiE9TttfD3EVVWkWojqsRjq/Saugp31pmdmMTHWrri2ikik7EQkX7wni+HhISwsLgYuU280sP/gg9h9yUW+y6jKslXAC5GH3CiJazIRR6UaHrM0v7iI0WF/4mpaZk+KK2M2EFGdQEIwOgrw97hGAcYYKCLimslmUSwEXxsnThzHWp/CrCC07B1PkuKtB4G2OODtAA4xxqqSy5z1OO3EFcA7ANzu+vfvAPgEY+wgY+wJAB8H8AoiigN4CYA/Z4wtMMb+HcAMgGdGvUOi+X+6T1GVX5tUP1TLJWT7QFyzmTQKggSxBYe4LhMi2Z7qIhgSnJb0onXjaymuomqv3/7LHtWqNetg2zbyU9Eb+zVVrKq7hYbRQIyTKiDMw1UddoR94d0YNQpL341MC9CGaSHmIa6aoiyFyIvAiZbrr5Ici8VgCJy76QDFlQXkC3tBkr3uu6nwHhnKYX4hmLje98BBbNl4DrJ+vl04bbB7UVzNcjFC4ppAtVoNvf7yCwsYGfb37RpGeI5rICJUXJMyims/iattQYkobSabzaIUMgN38sRxrB1kuN4M4BoiuqaZHvABAF/sYpmzHqeVuBLRuQBeC+C9rpe95uL7AWwFcC6AEmPsGOe9yJDXc07fbo531QvdJ1fPsqyOavU7bL7yaZkmTKOBlE/1cS/IprtVXJeJq6IQ7C4DxX33K9MdcQUcUiRjFQhStWSL6IgImy+4CI/f333VtB+05jUnSsbrjQbiOl9xzZy7qe3fw7uu7VxIja2IVYAkrAImx+PqnBdxQr8SVoFYLAZDRHGdncPqcX/iGnblteWA9rnwZGRoCPMhiuud++7FFTsvCVxGUcRzXHnV9Y7i2hFN2RV0XYeiKjBCCrTmF8IV1146Z7GIPK4AkEgkhdqRA02rgCRxHdop5r5jEeZ7Z7JZFEv+xJUxhhMnzk6rQJRgjM0BeA2AzwE4Cmf2+YNE9GoieiRomSj3g4i+S0RHiOgnRHRr8+8nRLRiPXZPG3El5xH00wDeyhhzs6s2czGAYvM17+vu9yKFk2koorjqMHr0uNYqZSRSablCDQ/yeo6roiQScViWJdXf2jAM6G2Kq9J1LqMfctmMsFWAB8u0oGriNxJfxVXS4woA55y7A8cOPSi5lj9aRFXTxHzVrXWCrAJC0GJ9U1zdUIgkrAKdHldNVWBJpB9osRjqfWjm4UYsFhezCgQprvB/qPIqpqSQ/PSAJEaGw4lrmL8VaKYKdDlcMMYiJa4AkEokUQkhevmFhVCPq+YZz2USE5htA6dJcfUrzuoVPI9rt2kd2Uyw4lotFaEQ9cVOd7aBMfZfjLHNjLEMY+y1jLE6Y+xzjLGtQct4tvEjxtj5PezG8wEUADybMXZt8+8axhhHIekPTqfi+mYAjzLGvu95vc1cDCAFx1jsfd39XgeI6A2tyrx8Pi+1Y6qgxzUWi/EVVwmrQLVcQqKH3MmgQi0iQjaTRlEiwomnuHbbwtEPuUxGqDjLT31MNQpIiDLOCBVXAFi/7TwcPRR9soC0x9UwEJdsQNCmcKkrRFxlirM4XbNUJdjj6i2K02IxNOr9PS6R4izDMLBYLPkqebbEtUcRxSkFYSiXQ7FY8n1gL5ZKeOyJI7g4IFEAcL4vnuIq4jG06hUoegyKFl3ZQiKRQDXE566p+4sAACAASURBVDq/sIiRgIgv0xMRKI1IFddgj6v7flCr+xdn9ez+su3IItoSySRM0/T9TS3MTmNyTXjxa59t4AM0wZzB6GVeQrySOJ3E9dcA/DYR1Yio9Us8DGfq320u3gHg3uZ7I0Q0ynmvA4yxm1qVeaOjo7xFfKGpYiRC9yOuliXsX6uVS0h2QVz9VFYvsuk0ihLJAh3EtQ+KazabQbFLqwAAmGYnwWlBNldWlriOTEzCskwszs0uvdZtooCbmGuC9hTAub4sy/K3SwQM4Lcfah6vGpOOw+oGJFHc1zBNxLypAqqcx1VfIY9r2GfMzOWxamSkjfC0kTcOceVaOtAfn7kXmqoik077Wnjuvu8ALtp+vm9Ifwteq0D+zv3C+adGhP7WFlLJBKohxUxhVgHDMKD3lCog/4DMQ17PNRVXsQYGfh7XKPYlSqsAEQX6XBdnZzC5RqwwK+zIeu3uN4ADxtgDp/Pzowli6wKMsevd/yYiBmATgEsBfJSIvgQgA+BtAF7LGCsT0TcA/CUR/U8ArwSQBXBH1PsmahWI6XpHcRZjzCm8EBwcqqXuiKsoZEmi4S3O6kJx3bMx2K87lM1KF425IeVxhb9VwGlOIPfZRIT1W8/DsUMPYmhVdGlsjuIqRtAahmMT4N2AxIuzYrCN/j8wO/FIElaBjuKsZY+ryPSsput9TxVoEde8nvO9EU7NzmK1X4YrHMVVZIzY+0QFpKqRJ3vwMDyUw4JPNNS+A/dj18UXctZqh0JK166GKBMFWkglk6hUq/DXUx2rwGhAcZZpWj17XCNLFUgmURNISgDEPa75O/dj9HL/pAgvHMGNRaYiA8s+19FVnb+ZxdkZrJ6cjOyzVhIXrGcY2yb2izhebK9SH8AfZ0KqQBsYY9+BYyzeD+AnAD7KGPtR8+23AjgfQB7AWwC8hDEWefsfVTDHVdc7FdeWTUD0qbbWo1UgDNl0RlJxrXsU1+57j/spkdlMj4qrJX4jCSzOcpaQ/vwNW8/D0R59rl7C47YKhKkCjUawTYCBYftFIYOlFut7HBbQsgqIDdz84iwnTsv98HFwv/935lgFwokrz48nqsY4xVnB525mds7X3wrIxVspiiLUqatXDA8NYd4ny/W++w/ikguCbQJAa7zojroapcXIiWsymcCUwb/Ntb7v+ZAcV9PsrThLNlUg6Dp0iKtEqkAfclyZbUcWhdVCJsDnujA7jcmzlLg+FUBEf7HSn3nGEFfGGDHGTjX///2MsVHG2ARj7B9cy0wxxp7LGEsyxnYyxu7px76Ix2F1Kq6WJRcTUi0XQxXXXsLts5m0FEnsiMNSlEhSBdyDcS7b6XGVmcKRbkAQUJyV3hJ+M/Zi/bbzcazpc42qM5NjFRBUXBsNxHwSBURD7Vuds/o9BT1kVYXVQp7iSkTN6Wexz9P0zuKsqLtniVgFpmZm2xIFvB5PxiA8K6Oq2ooQV78CrUbDwEOPPYYLzjs3dBsyqQJeOFaB6AqzgOVILN/PNE2UymXksv5jsENcnTG9mza20aYK9CfHVbrYLEK1FQiOxFqcncHkZPQd8AaIDM9e6Q88Y4jrmQRVUWDbVuhNndeAwLbswI4i3htYtVRCIiAXsVdk0imUK2KeKIBDXNHprwtV80KQSiRRrQWrYkFENsjj6kWUDQhamNy4GfMzp1CTOK9hUCWmg+tGQ7owywsiBaSqMPusuiqqnMfVS1wB5/doNrcRpLYCTcU1Ao9rkFda03UYRiNwfAhKFACaxVmCPnjnHLYTV16UVNv7XVR4+2W5Hjx0CJs2rEdKoC21zEOGF0a5AC1qq0AI0VssFDCUywUWX8nM8PAQfaqAoMe1izgsIdhW9IprNotigOK6ugfiKuqxHuDswYC4cuCoPOE+V55VwDCNjunOINSqFcST0We4tpBOpaSLs3Tdk+PqsgrIeKF8P8MweuqVbdkWVImBM4hgdLMfqqZhYv05WGfJta1tgUfKNU0NzZtsodEwoAe0exXlDYoeg9nnQiaZlq0N00KM0xFNV1WYgmxIVbXQafxeoSgKdD24Q9cUp2tWtyAST2boBaPDw8gvLHS8ftd9B3DJBTuEthGWAhGE6txJxHNyhbRhSCaTqAY8YM4vFjA8FEyWDcOQakDgfahgltlzBX7rQSqRkIvDivsSV//vKKzA1TIaULTeHpy9yGZzKHGyXBljWJybEbMKDFIFThd6r/aTxIC4BiDs2+BbBWxhNRBA16ofD7wBZyibFYqeasG27Tb1QVVV2BIB8CL44U9uw1W7L+t6fVVRhbM9Rc6sXzV3EIYS8ciqagGx6ecW6gE3JCIID+BE0bfz9SIumHkKAJVaHWmOJy8Zj6FqWhi9/KJQtd+yTOg9qtFAuHUlnUmjEtDc49T0DNZMTPi+rxC/6JH3G67Xqogl2tXOsALIbrB6fBynpmc6Xv/RT3+OX336lULbUBUFVhdWgfLUUSw+ej9Gd+yWXjcI2UyaS4haqAtMp/equJrVMrTk8qxaL99dKp0KJOLA8jXkzJ7xuusRlPjy9SQrRlRnTyK5arXUOmEYGhpCgeOvrpXLUFUNSYEGPSIFj7KpMwMI4Vsr/YED4spBXs85lZMhPwInz7GduJqWJdXuFZ52jl4/Xq/+vKFcDosFceLKbLuNSKuqWMKCyGDcIgP/+c3v4LdecJ3v+2HwC+tfqUFpz5Y1qNVqSEQY7h2PxVBzEbygc1EPKM4iALYgcyVF6Xs+aCIRR70u5skrVmvIpDrPaToRh7Ztp9A2LEOsMUOvv6tMJoNSgHf8xNQUJlcvE1dvRyK1WXQmAsswoEascPGwZvU4Tk1Pt712cmoax06ewq6LxciNpqrCimtrzLAadRz6ysex6brfhh4RwWshF/I9GUbw7AXgeFxlxnTvfkeZlpBOpYWtXw3DQMzn2LzPFl7yuvexk752k+r0MfzKlk1C+yCK3FAOixx/dXEhj+yImApvM35KTDfCxADiYIxF2plLBAPi6gORcHo9FutQXL2KZRh4AlmUxSRDuSwWC+KFT5Ynn8+Z+rORu/QZvuvI7O/U/XdhoVDAlbvEiAgPumRYvwhkVYd6vYZ4XJ64+hHSuITi6vUhd0DYK9D/avV4LIZ6iJ+5hVKthgxHcU0n4qgIbsM0Qs5NRAgirtVaDZVKFasCQu29HcWCrj8GFqm674c1ExM4OdVOXG+57af4tauuFLY/daO4Hv7OF5BZtxnjl/iPMd0ik0mjHEBcg8hdC47iunz+w3zWbtimAdtoQE34k3CZ8TOVDlb6W5imFBqGwfUlO/ec7ufVR2rTGF+3oeP1Xu5buaFhFBY7bSrFeRniKh5DOcDZjdOW43omo+WJDCWuemdxltN8QPwmQ6RwW37s2bKm6xZ6bjjEVUJxZe03Scfv2zmlLFOg5SZrX/vWd/Gbz7+up040mqbBiJi4yqJeqyMeYdRMPB7smWz7bKPREQTfKvpTiNpuSUHf00p4JxOJuHAL1nK1jkyy82EgFY+hLHhuvDnE/UI6k/ElRKemZ7B6fCxwHPDrMMVDVAH2YZhcPYGpmVkYpgld08AYwze++wO8842vF96GqigwfBTXvJ7rGNNKJx7H4mP345I/+pvQbXdDjLKZjG/RD+DMXoQS1x7isIxKCVoqu/T99aoip1JpVCrhxLVUKiKb4bcS7/Vamjl+FOfvflpP2/BiaGgIBY7AUlrIY+t6seYDts2gqGcWcd05mcBWwe/8nqPxszrHlYieB+AWACMA3glgBk6cqdiUmwQGiisHwsSVQ6CsAMWV+6RO/sVDUSivw7lcm8c1bDrdtqyO6BZFUWAJ+lyDBuZKtYrv/fhWvOi63tIz/KwCfuiHZ79eryHRheLqh3gsjrqwx7WTuLoRxodSB5wbn0xXq26RiMdRF4zvKVb5imsiFkO1LlZw5VgFOrcRdSRWNuMEpvNwcmoaa1b7+1uBVtGa2Ll34pSiuyH7qf7JRAIX79iO79zyIwDAgQcfQq1ex+5LLxbetqYqwoV0AFCZPobsxnOhxqL7LbmRC3jAAJpWgRBPtNOAwP9WGTSmmuVCYMSX7HWZSqdQqYQXZxULRWRy7dm07m6LvcTg5adOYnR1tL+nXM7HKjCfx9j4OHcd73Vs2zYi/JkMIAEi+iCAf4Qjhn4CwDYAz2z+f+QYEFcOvKqjH3hWAUvS40oej2vUGMplscAZEPxgc45d1OcahtvuuBMXb98eGBM0ahRCva6aqgm3R+0pviAA9Xod8Qg9rol4DLV6OHEdNQqBVgFHcRWtzuq/xzUej6NerwvdKGtKDNlU59SmpoonE5gCHtcoSGw6kwVb7CxkAoDjp05hklOY5fa5KsqyVYBnE3BXpjPGIotTCsPrfvtl+Jf/+DJs28bXvvUd/Nbzr5OaQdJUFZbENVXLTyMxEkzye0E2kw5UXBuGgXioVUDO4+qGUSlCT0WXTZtKpoQU12KxgGx2mai2kese7jlGo4FauYzs8Ejb6z3XYgwNo9C8T+3Zsmbpr7iQx9gYn7h6YTPmm2Pt9ZgPEDleA+BaODrRs5r/fgWAF/bjwwbElQPnJhtOeHhWAVmPKyBBNLrAUC6HxWJJ+Anbtq0On5AmUUgShNvv2oenX959msDS/oS0R+13kZZt2zAEi4BE4SiuglaBhuGruMZGxoTvSSuhuGqqCkVROh7weCiWy9xUAc2V49qCX2D6Snpc/WLmbv35Hdh9SbBnWsoqEGHySBgu33kJ0qkU/vv7P8Qtt/0ML7ruOVLrO5m74uPZUCPPJa5RpSZk08EeVyMkWg7oreVrFNm07vFM1ONaWFxENpftWB/o7lm+RUwLc7PIja6KtN0rAOSGhrDI8bjG6xWMBQgdbjiiS6S7NYA4YgAqAF4AYB9jrAAgiT6FlA2+Zg6cG0X4ctF4XNHX/Ll4LAZd01AWmF4CHD+dN3NQkcjibMH7BM4Ywx1378PTdl0qtR0eeMVZKxlzUq87bXFlyUSQkux4XNsVV7/ly5VKQBj8ssc1zIdMysrkg8bjCaE2rMVSmetxdSrVxfbTNAwUTX/rTVSWAb/irKmZWRx48CHsufqqwPWlrAKepI9+gojw2t9+GT7wv/8Prty1E6MBBWY8qCqfkPspXgvTU0iM9lFxzWZ8LR2A4xfnRUa54e6c5YX7uHg1CUZ5WXH1knHetRg22xSPx2GaVuiDYLFYRC7n38a29Q3JVtwvzs1gyKOARvGbSiQSIKKOZhGzszNYJUhc2aA463TikwDuBHATgE8R0YUAvt78ixwD4sqBsFVA7+xZbtm23NO5zNRul5BJFrA4N8koIrGOHj8By7Kx6ZzOalRZaJp6Wouzuk0UCEI8HhP2uM4vLmLEJzRdxipA1P9UAcA5tpoAcS2USsgkOxVXVVFgCpI802hADVHQokA6k0GRo3x98/s/xHOuvQbJEBuJoojPYjDGIle4gvCrT78SO7Ztw8v/h/wsn9ZUXEVbiM7PTCHuUVx544gfOQp7YM02Pa5+M04icViy9i83zEq0bWyJCGlXlqtfbFWx4FgFuNvgdEMUxeLsDIZWiU3dyyKXG1qyC7QwNzuHVRyrAI/gWzaDEjBTOshw7R8YY+8B8EYAL2aM/RscbnlT87XI0fNoSEQXENG1rr/nENGpKHbudEHcKsApzvJRXE8Y/OkqQn89roBcliuz7Y6uVKqE4uWH2+/ehyt3XRqJcqTJxmF1cX6DVISoEwUAIK5LENeFRYwM89UUKfvaCuS4Ak4DgbACrUbDgGmaSHBIhOrjcfW2TwYcxVVbAeLKswq0qvBfKFB8qCok7AVdSasA4JDqT//jh7Hr4gul15XJca1VKrAMA8/dIdAVqUvEmzMjfokdjZBUAcaYU3Dbrcc1wgzXFlKpNMohPtdCsbBkFfCil2tpcW66Q3H1g2gudwteu4BpmigWCxgZGQlYa3kccBRXqY8cIEIwxn7MGPtx8//vY4x9mjHWlzaGPcVhEdFfA3gTgDqWI0nHAXy49107fXAUVxHi2tny1bYkPa79560YzmWxIKi42nZnBbO3befo5RcJKyqtweuOu+/Bs66JJqdRU1WYgkphP274NYlEgVGjIPSkz7MK+GF+YQEjw/wpXCIS97iSgjuPV/DCjWLLd4tEPI5GiH+3VC4jl81wvy+nUl1ccdVXxOOa7SCu9xy4H7qu4cLzzwtdX8YqAGb7Fp30CyK/m7ye6yAnjh+eCUkiCzOnMDy+GkSEPRtT2PtEpS8dwbK5HAqLi9yGIY0Qr7ppmlBVtetxxKgUoaWyQjYBUaTSKVTKlTalde9jJ9u2WSwUseGcc7jrL2gZMMYwtPNq7sOfG97tLszOYOvFyxncYcchOv4BwPDIMPJzc0v/zs/NYXh4pON+6keIbdsGUTulOd3NB3atWYXLBL9r81AwQR9gGb0qrq8DcDmA3wDwA8bYWgB/BiDy3K6VhKinjNfy1bRlUwUURGly5bZ99URiBcFmNjdVoJciHtOycNe99+HKCPytQBeKa8SQVVxFkhLicfHirPnFAkaGfBRXiIeLr0TnLMDJcvV617wolErIptPc9zRFFSZ5pmFA1Vcmx7VYbp9Fufnb38MLr3u20NjhWAVEi7MQaRxWlPCON6qiwBR8cspPncLwxHLrUD/S2quHcnJyDU6eOMF9zwhpQGCaFjSf5gsipMgoF4UVV1GFMpkKb/taKCwil/OxCnRJwvdsWdO0CoR7kmXVVgA4//wdOLD/vqV/z87OYGxczN8KAI3F/EBxXQEQ0XeJ6AgR/YSIbm3+/YSIbl2pfeiVuGYBHAXwMIBLmq99AsCbe9zuaUUzxTV0OT3GSRWQVFyJwO1ZHiWGsuIeV2YHx2F18wT7wEMPY3JiAqtCpnxEoenBqQL9xJ4ta/ricY3pOkzTEvISzy8GWQXEFNfUgTJKdWXp2os659SNRCwe2lyhWCohm8lw31NDFFd3dJS1klaB4jJxLRSL+NHPbscLnyOWUeykCkjkuJ4lRSeqKk7IF2amMDIRTc/7IFVv3fr1OH78KPe9sAYEptV98wGgZRWIzuMKOG1ff/4Y/3haKBYLyPoQV6D7WT6nOEucTMpg567LsO/uu5f+ffzYMayebB+XggixvcKWmqcwng+gAODZjLFrm3/XMMZWTN7ulbjeBoeoagB0InoOnNBZoZ8FEf2YiGquv8+Qg38gokUiOkFEb3Qtv5mIbiOiKhHdQUTbe9x/LsRTBfg5rkpAWHUnVqo4S1Bx5RVnKYqvwhk21QQAP/rZ7XjaZd23ePV+hqZqME1x64xfIYLf62HHVKvWhDJcZVQHIkIsFkOjEX5c8wv+xVnk6ZwV/KEKmN3/BwCRJgTFUhmZNF9x81pVeLj9kHPNmkYDqtZ/4jo0NIS5+fml/frOLT/GM67Y7ftAsbReswq9ZRUQeRAU9dyfCchtvRBKTqxF58LMFEbGoyGugD95XbtuPY4fP859zzQNX0XVeZ+vuIq2iOYVZ/X6kJhKp1HnKK5u60CxUEQ2G+Rx9e9u5odarYZqqYTMsPP9Rv2wu/2CC3DkicMoN4seDx58AOdvF7/F24w96avNieg6IjpERGUi+hIRdXzJfssEcSsZMGea7mWMMbEpwj6g1+/5dwHMARgG8HYAnwXwcQBvEVx/C4Ahxlii+fc6OPaDZwPYAeA6AH9NRC3W8zkAPwawGsBXAPx7j/vPhWE0oAtMN+qaBsNoJ3SKqkgpqM50bX+JayadRjlkaqkFVetMENA0DZZtdxXiXKlWcfO3v4frf/350uv6wfG4iqlVGud43Gh5B2WU5Ln8LEZHxW7OMojpWoeCz0O90fCtWleIYDMmdmMlBVgBq4DGKWL0wjD8s2lVhYQzT03B326vGBoexuTEBB546BAA4J77H8DTd+8SXj8Z01EVLMZjdqd950xFq5DTff35/bYK+Txyo8HqnYiHkvf/bqTTaVSr/DjAXMhslNlsfzu082oM77oWo5dfJNTues/GFK6aIDDbwrPPDVcoZR5yM5kM6tXg8bxcLiGd5s9gEBHciXHe78ev1fjDDz2Ibdu2hl6L3dgEACAWi2H16kmcOul8/pHDh7Fly1bh7SrpIeTOu6TjeILuWwsz033Pso4KRDQCh/O8C8B6OE+z75dYJohbSYEx9kA360WFnkZDxtgsY+xGxthhxth3GGPrGWNrGGNfCVuXiBIATA5r/x0A/x9j7DhjbD+cL+HlRHQOgJ0A3tcMt/17AJuI6PxejoGHRr2BeDzcw6jpOgzTbCOeqqouqZMiZEhRoo0k4v24U8mkcI6ro/q131BFFC833Debb3z3+7js4guxYZ1Yv2k/uFVQVVVgCyqFuqaHkqbWwCaqosxMT/u2IewWi/tugwZ0EFdu7EtAVrAiQfIcxXV50O6XXUDXNFhhxNU0oTUJgheO/WH5mLzEYc/GFJ62zXnNnSrQ7Q1UFFdfsRu3/eJOAMAjjx/GuVs2C603tPNqJGI6agLqOrDycVgi8FPmVImmFsWFPLIj0TwABn3Xuq77Xn+TE+M4Nc3vgAY416Wui9Uwe38/xYU8hkdXtc1gdZPd6kU6k0EtJFWgWq0imeLPYDjiivMduX9vYcLE/Qf2Y8cFF0aah+zF+MQEZmemAQDHjh3F+g3i8YkWY0v1JcO7rm27/3qv1z1b1oAxho+/+4/7LhxFiBcBuJsxdjNjbB7Ah+B0pxJdhsutVmjfI0VXoyER7SCi24moQER7iWhbF5vZBCBGRHcTUZ6IvkZEkwAuBrDPtdz9ALbC8dAebBHdplz9YPO9SFGv1xGLh6s2iqK0EVVgueJdVJ1ciRD4VCrpqzh4EYvFYXiJK6eK303y/AZey7Lwxa/ejN996Ysl9zgYjudW7JzpWrja50XYdzc7M4MJTkvPXqFrasdDgxujRgG2bQfmDCukCPvXhjIr04BA07TwwPRSGdkMvzgruXYTbMaWFC/A/yHDKc7qv1Vg1Cjgqit242d33oV6o4FjJ05is08VNw+ZtRthmO2+cb/rjmffOVOhSHQEK83nl6adeZBRW4Ogaqrv9bdm9QROTk/7rms0FVcAbapr6zsLmlov5ueQHV0VuG/dPFxlM9lw4lqpIOVHXMl5uHDvu4jI8sCBA7jgwuCHe97xyBzj2Pg4ZmZmUK1UUCoWlwQCkW3IxpY9Y/0qKKom2enytMLLjQ4AWE1EGcFl/LhVTyCiv+h1G7LoNg7rJgC3Avh9AK8G8CkAvyq5jREADwB4K4BjAP4JwL8ByAFwpxAXm695X3e/1wEiegOANwDAmrVyal+9XhdSXIHl7lmtEGtN04SjmgBAUVRh8hAWLeL3404lEqiEeAxb4CmumqZJd84CgJ/+5FasGh3BxTuitSLzGiL4nRtd77Rz9IqZ6Wk8/argaC+ZwbqlJsc0NdQqYDVbCvsRGYUI8Q1bAfi3uVxaVtVw4ar2QXvPljW+U4XdQtc0JOrB+1MslZDz8eQpRIhNrBf6LNNorEhxFgBccsEOHDl+Anfdex/Wr10T2oHJjZiuo1Favi6DiAOz7cgU136r0KorLcH7cOG+roxGA416DSmfgryoSCvgzLr4jV+TExOBiussi0PR+feCoZ1XI4/OyKgWCvk55FzE1btMt9+Fo7j6WwVs20a9XufGfwHizS/c8WSMMdx//wG89Z3v8l0+imtrfHwCszMzOH78GNauWydlkbFtG6onViBIhKhVq0il/DoQRoO937wZ737XO4SWbYpLu4nol66Xb2KM3dT8/xyAJ1pvMMbqRGQ2Xy8JLOPHrXrFswG8L4LtCKNb4noZgD2MMYOI/gqAdMMBxtjPASw1wiaiGwBMAcjD6XHbQgrAPIAFz+vu93jbvwkOwcaFFwmYklxoNOqIxUSJawzTLIHWJKHmUWDDoChi0969DAqpVBKVXqwCAp2zeIRn7y0/xPW/8QK5nQ3A4r7bMLTzaq4C7Ib7XGkBimtDESMarWnoFmampzEeUTW0G7qmYX7/L7A5oLuYZQX3TVcUEpqqrVyYRuLeWIe63g+IdDpbLBaR8yExJKHiOX5QeQVF5vfVWlbXNFyx8xL865e+inN/Rcwm0EIspsMcE3ugblkFWsRH5MGinykRQVBUBUoqi+Fd12Lh7uV0HOehclklLC3MY2zVGJ65dR2A5WPqx34HKf6rx8cwPTsL28dHbJoGNF3jZta60SKv7nGwOD+H7IhDXKM8rkwmg1qZ/yC497GTuHJyCLFY3H9WRl0WS/J6DqOcPFd3UgcAzOfzUIgw5pMoEPb7Ec1zHRsfx/777sWxo0exfr1cl0XLZlBIWSKroUW2tZovuY8KL3rec/CBP/ufQst+8/s/xB+87YZfMsZ+y2eRNg5ERDE4HG5ecBkvh/LlT2c6un2MV1sdERhjFXRBgInoBUTkzo7RAZhwpv/dLVt2ALgXwEMAtpMTfIrmf88DcB8ihoziquntg6JMOD7QvCmHEA2RAoQgpJJJVIStAjziqixNawLihUyl/CzWro6e4LU8tyLeJF3XYQoUPMlgemYa4/2wCqgqGiExX37+1tZgrSjLftAwz66ix2AKZsf2Al3TQx/mCsUiV3Ed2nm108ZWuD1qe05lvxXGqy7fjV/ecx+2bZYjrvFYZyKJH5ht46LJ5Sn100VK/eAmJLwuezzVq7iQxypXRmc/fZNagMc6EY8jm85gLs+/fxuGCa2ZUpHXc0t2AREU5vPI+Xh4e7kuM9lsYHFWpVLhKomt9rC3PTEdOs54kc/zW69GDcfjOoNjx45iXdPfKnqubNvG0I7lAskwy1etVkUi0V/FNWJ4udF2AIcYY1XBZfy4Va9YcR/T6XT8jwL4BBGdT0Q5AH8LJyngCwBuIKJRIroSwKsAfJkx9gicvNh3EFESwHsBHGCM8XNOekCjXkdMkLjGPJFYftPqa3W+mqQEeFxFguvdy/pBhrjqPKuAapAc2AAAIABJREFU2p1VwCEj/OPuFov7boOiKE2lOpzMqE21zm//i1q7DyzsplQul2FbJjYmojf0x3QNhs9+tr5f2w7OCSaithzNIPKqaHzF1Y9AdEsshBTXQhG5ZotK7w2HSLzgjDEbQll2EeGqyy8DAGwTLMxqIRZzWvyKeOGZq+ikhX4SvV4gWshZnM9jrEsiJEv6gmZdAMfn6mcXMM1lG5gbQd9b63sp5ufwjO1bhS0Ci/tuE4oXzIQUZ1UrFd/CLKB5z+GkiQQpovWpI1i1iu/XjfLhcHx83CGuEorr0M6rne8jnoQi4VddCcU1YtwM4BoiuqaZHvABAF+UWIbLrSLYr29FsA0pdK24EtG3mn/fhlNk9S33X9gGGGOfh1PVdiuARwGocGK0PgngHjg+ja8AeBtj7FBztVcDeCkcO8GzALymy/0PhKzH1TCMpR+9t1grTPXiKa5hhFV2oHCIaw8eV5dVQCYSa7FYxJCPb7FXOP3rO8+bF0QEXdJ3HISZ6WmsHh/vS7GMLkDwTMsKJK4qKUuFTGFwFNf+WwX0ZqezoOu2UCxhyOchhxTiqut+16LsV+O3XyK/s9XjY3jli/8HLjz/XKnPjOl6YCGeG0EeVxny2m/1GUDbA6W3shtYnoIuLy4IR8q1xkOZB3k31JBUi8mJcZyc8SGuhtmW4yravnTPljWwy4sYGw+fmfES1jDyms1mUSv7E9cKpzDLbS+h5gyG+7XQgtS5eawZ6Tz2biw2vNdb742NT2CmRVw3bJDavmVZ0CQ8sdVqFYnk2UNcGWNzcDjP5+A0fpoG8EEiejURPRK0THMTQdyql/36YPhS0aJbj+vrPP/+DywnGvunG3vAGHsvHOXUizeD032LMfYwgCvFdzMcPO9NvVH3zZT0Qo/pHsVVlerqJKoc9oJUMiFlFehMFVBgWmK+3daNlDGGQrGIbMSKK+AM7Mu+23CfaqtAK+g7FSXkM9PTmGxOccr04RaBrqptlowW3IO3ZQW3FFZ8SB53WU2HYayExzU82cFrFXB/H05SAhNWJ5tuor6AdyN955veIL2dWExfajYR1jM+KEUC6PSXn04lVm0W/oQdk2WZiAmMsVGQ7VFqwAhoWDI5MY5TU53JAnk9B8M0UDDsNg9u6zrM67lAv/HszAzGPbF53uMRUVi9SIekClSrFSST/oqrOzu85c0NO8+z+TzGRkfaxrxIvhuvDS6dg6IQHnv0UXmPq2VDUdW2MTlojK5Vq0gmzyqrABhj/wXgvzwvf675F7QMGGMWfLjV2YauiCtj7F8BgIieDqeabKNrWy3i+jn+2mc+GvWGsFVAc93883oOmroAK6TYau8TFdx+iPC0bawjDqubwSBsnWQyiWqtBsZYKNmKxWKoeJ7mHfuDHLmu1WpQFBUJwfMoC1VRYXLOM+9caJrecePqlnDOzExhdcQZri3omoaGaS0VofEgYhUQfRBS9biv4hpGhmSuU62puAYhSJ13Cs5ErQKdy0X9gBEF4rFYW4JEECm3bRuKIBn3I60robYC4g/itmVBiQXffqLaZ03VYAWICZMTEzh24gT3vX3HpqFq8sV+1WoV9XoduaHlTmpRkFZguQEB82lx+ovHj/tGYQHBYwSPiI8aBczM5bF108alf0cBv+is8YkJ5OfmsCklN3Vi2xZK8SG4R5GwTmBnmcd1gCa6VVxbaE33/y8Ap6d5fA/w+wF2YxVowWsVCINMHJYbMjdjTVWhaxpq9bpvx6UWYrEYFubbCxVEUgW8KBYLvlO/UUCT2Cdd02AGRGKFVQwDWIqFmZ6exurx/vTqjglYBSzLhhrQUlhVFFiiiquuw2gE50FGAa157QUhKA6LSIEt2uHrDAzr50GXsQowO7SN9EqqrEHjjqqqXFLkJkR7n6hAsyyo6vIY209irevBOcKTE+P45T38GhXLNKGozm3SsTnwo6+8mJ2Zwdj4xBKxjPL4dF2Hqmow6nXEOON5o1ZDwqUkesmo0kW3xtl8Hk/bdWl3O+yCyHlYs2oU2URc2o5lWnId5s5Cj+sZCyJ6HPyZdhNOd9UfAPiAp5Csa/RKXFcDeP/p7FkbBbwkUKY4S4/pMFwdcIrJkS6sAtbSfvQLqZRToCVCXHlxWLIe0WKBXyUeFWTItC7QclQU8/k8ztmyHDTfq5rnVl10TfUtzmohyOM6tPNqKN+9danlsDeSyAtFi8GsrkwcVus3wZtqNEwTtVodaZ9MRSdVoHvFNQhRePRE4D3meExHXaZzVg+e6pVSW/N6DsV4bmmsaNkFvFFYgKO4tryj/d4/5yE3uDjrJMcqAAC2ZULVtI54qDDMzEwv2QR4x9et2tpCPJVCrVLmEtd6rYqF5uHyFNS9R6oAY7jlcBnP3JT2zaF1Yzafx9iq6Ntc87B6fBVWjQxLr9eajRKNVqvVqhiO9bf5QPnh+7CoiF07lccP9nVf+oxPAfg1AH8DJx71XADvAHAHHNJ6I4CPA/i9KD6sV2niX+EUVD2p4HhcxXNc3T5BXueYKxV+RyBALA7LDzLFCqlEQqhAi58q0Kki84p/3ANFqY+FWQBAtilMXGN6eNtXUdRqNaT6ZOjXVY3rcXXDDukO41Tgi11Pih6DERCH1fo+e1XzdE0P9EgXiyVksxlfclbVU8LH5Efyeu3o0wvcDzat/49JxmHJKEmnA0vFqYoCw/VVdWt5iRK6rsMOuM4nx8dxylOc1ToeyzQxLVbX2gZHcR3v2zU2Njzsm+XaqFURSyR9/bdE5FQwMiZMyGfn5jHukyoQNS7cfj52XXxh+IIeGJ7fSVjeca1aQzLRHyvbUxB/BOCljLEfMcYeZIx9A8BLALyGMfZ9AL8LwC+fVhrdtnw9SEQPwOmY8GEimm+91vqLagdPBxr1ulDhANBJisIyJ70DuTsMup9IpVJCbV9jsbhPA4LlfRQpkikUC5FEYfkpE07sjth5E2k5Kop6rRbq2+32ZiWSKmCFpAqk1m1qi8MKgqLHYBqNQGIaxRS0pqltVo0Or1/IQw4RodoswgvP0WRtmac8dFOdHiUByes51JLDKBsW8npuiST5KfdhxVlnEhRFhW1bobMQtmVCVdUVeXgIy9bOZTMolStcAcEyTZCi4fZDhNsPEfY+UVkiREHEaGZmBhtWDXHf845pvFmRMEV21fgYCvNz3PcatRpXiQWWUx2I+JFYXuzZsga2bWNufh6rRkZCl48CL37B8/Cbz79Oej3bsvHzY7NtrwWS18riwCoQHUwA3mq6USxnvOoAIpve69Yq8MaoduB0IWjAbBiGMHHVdL2tCt/d5Wdo59WBU7UA8MCcARLonNUrUokEykLENQbU25/CZfykLRQLhf5aBRRF2L7Qi1XA2zWryvFFRVX8o2tiDQgC47A8/rXhXdcutab0QtFjaNRXKA4rQHH1az7Qgl/uJA/MZr55WCulsIqAZ8nxA5MozjrdCCrOcqt7tmVDU3t1qolB14MbYKiqingshmqthrSrqGnvYydx8FQRqt55LwgiRKNGAcVTx7B186aO9/xI68Ldt/o+kPHGlzVr1mJhhm9vaNSqyA6HTOsTAc3f1N4nKtizxf+YFgtFpJNJoZbGQYWl/URez8GyLK6/3c8KUavVVkxFfgrgPQBuIaKvAjgCYBzAywF8hIjWA/g5HKtAJOhqNGSM/TjsL6odPB0wGg3ogn3HE4kESqXi0r+dik2+4rWd13mW/BsQRIlkMimkuKaSKUwvFtteM0wTiiJZ4bk4i2zG3yLRK1SFsLD/F0LLJuIJFIrFzjdcBE+UeNZr/ZteimnLDQj8FBdFUVCpVn3JASkEfVyslajTgKD/9nSnYLGdkLtJpGlayM/PY35h0bsq8npO0rfamx80avhdV44lpx66HOAUZ5HSXZHPSpN10zKF1GHLMoXC4kVD+YOgqc5MhvdctMUmjQzj3vsPdrxeOvE44sPy5Obw0WNYt2ay7bUwpTVM5HBjzdq1mJ/277ReyPPVWKDpA/f8poKI+KmZGYyPrQr9Hlrvt76zXr83GViWhUajAU2PCdsfSuWKr69+ADkwxr4I4Co4pHUDABvA6xljHwJQAvAqxthfRPV5Z8dj/ArAPaiVy2Wk02LT3Jfs3Im77rxz6d+Ox07mkxmwAmqKaDHIhRddhBPHj+Pw0WNLr937wEHsOE8uYH3eQN+isFoQPc/PuGI3fnBr5yBquQpEAAj1uG40GtxOOlFAV8OtAls2noNcNoO9P/05933G0HFifElw0yrQbzjn2Z+k7Lr4Qjz7V6/BO//X+7kktV6vIR4Xm9JjLNr+g92G3gPBZDSZTKLm8Zz7fY59Bnlcwx7wTp08ick14fYSyzOrxSM63lB+NzGSgaIqS8V9PPKa13N467vejfd++CO458RyosqRhw+iePQRHB7as/Ta7YeCr65Ro4BSuYKDhx7BrouWfZpRk7hzztmIuZP8CK8rrnshHrzrdjxy793c922jDlJVKFq7kuxnCzp6/AQ2rl8XuD9+x7dS5HV6agrJbBZ685oKI6+jRmFF7Q9PdhDRHzPGDjHGPsAYexNj7J0AHiei7zPGFqIWM8+M0fAMQ6lYREZwmvuKK56GffvuXpr2G2kUhBWf2w85BvmVUIjcsV1BN+JYPI4X/PoL8S9f/zYAp5o0Pz+PbZs3SX2eTKRYN5AR4X7jOc/ED269DdWaQxRaN1/TNAOn3VsRWG6YpoFYv4irxm9A4AYR4bWveBm+/I1v8hcIuJ68xxNl56ygG5RhmoHTwkSEt7zuNag1GtwHjFq1hkQy0UGa+J/JcGB6QXi/TxeSyRRqNbFkGKc4q/+FTFGoZCdPHMfatcEkB3B+R6Nq57UeptZ1Q14VT5wab/zbuesyvP4P34Q/f8+NeOD+A7AsC9/7wmew8bmvAGnOOJY6IBYd9/iRI9i4fh2SfezKtHHTZpRmOlXSk48/iv/8P3+H33rT2/Hfn/lnTB053LGMUSlCSzn3tzAiDgBPHDuOc9Y53ynvvK+ksspDXs/hlh98H+ecd4FU+sNcfn7FkhKeAngjEb0PAIhohIg+CuCXAB7ux4cNiCsHpVIJmYyY4jo0PIxNmzfjvnvvAQAwiCmurUGw16gbUcR0vS3wPAi/ef1L8KO9t+DEqan/n70zD5OrKvP/5629q5ekO/u+AIGwh0UBAY37NpFRBnFUHBEdxd2ZcXfccBt/44wD7o4LiqCgIiiuQwAjqyRAWAKBmHQ6S+/d1Uvt9f7+uFXdt27dW3WruqqX5H6ep56k7z333nPucs73vOc972H7zsfYdPJJjgLPaXgrmUo23uLq0ra2eOFCTj7heO64+96i7dlstmo/u3Tafu3yeuBGuAKcdP4LeOLpZ3g6li4Rc6qKIK78zIyoAvWzuDo1YJlMlkCw/H0eCs/nLVe+m69+71oOa3GDn0jEXU+iMCy2M+8qUMkyGYlEiMfjjm4Q5k6GMQPfNyG43FqA3aSzE4puhMjWPYcmfmYOHDjA8hUuhGsV8wimivjchVN78Utfxhvf9GY+/5lP89Z/uoym5hYWnHg24F60Ahzq6WXZksmlXhsh7BYvWUJseJhnLy2eAPbk9vsYGxlm5bHH85I3XsENX/kcPfv3AZNWyMz4KMGmFleiFWBfVxdrVtk/Uzdlq2f5CxbyokmN/f384qYbufCiS6o6V9/AIAtdLjtcK6NPPczQ9rtc/cb2zOk57RcALxSR3wC7gXXAmarakFW6POFqw9joKM0VhKu5wj7n3PO47567gUnhUMDO4b6owphGi6tb4dre3s6Wi/6eb117HQ8+/AhnnHpK1ddLJZNEwo1rmNTdqsKAUdk9/+Vb+OltfyjansmWt7jakU410uIaIOViElk4HObZ557HXXfeARSLJBtPAaBYxIyfbPge+wK1WVyrHTpPZ9KuOgibzjiTNWvWcsvNvyhqmKpa4cZ5btaMYSfwgsEgIuIq2kWjwmGVExTl9jn5Q27dc4hHnnqGgYDxflnFu1mMm10FGm2x81URIu5FL3kpP7jues542UV0vPhNNdXNhw53s2zJEqBxZfP7/axctYr9nfuKhvh3P/TgRGf08KJTedE/vpnrv/I5fvPXpyfSGBZX9xFfOrtKXQWm24fViYFgG9f+4Pu86KUvZf6ixZUPyJPNZhkcHqZjvn3kB4/qUNUB4AUYTdBTwKtUtWGBaT3hakMli6s1HMo5557HvffcjapWb0HV6WlpQ8HihRIqiY9/uORS/vLAX9m67W7OOq28cLWrwJJJ97FwqzmvGTe3rdB4PueCC+k53M3Ox3dN7Mtls44TRJzuTzqdaphwDQUqx3Et8LzNz+fOrbeXbK/m/fM3wMfV7pllMlmCZSyuZoFzxdvfwQ3X/ZiB/snJJeYVbtxNops9yrVoxSiL4DP8XCu7C+SmyVWgEk733izMB3u7aV+0pGIMzUx66h1At8LJiJVdvqNrtiD/ubOXk845n0j7YtdWSTOHunuKLK52VDMRC+zrozVr1rJv717A8E8d6u0hNtBPxrRKXfeS01n6vIvZ9ZOvkBodIh0fpfP/bmK47SRX11VVw1XAJFxnSrBa379UKsUD993HX/58J//4hsuqOtdwbISW5mjDRs+OFsxhUIEHgeOBc4A9jQyN6glXGwzhau/jalchr123nlwuR+e+vc4mLwdUc9PjKhByb3EFaG5p4bJLXkMimWLDMeurvl4qmSTcQItrtQQCAf7h0tfx/Z/eOLEtk8kUTc5yQzqddh1xolpCAX9Fi2uh8j7z7Gexb99eenuKQ+KoqSNUcBcwN5Lm8F7Gkq9TjypQqSHLZDIEHDoI1sZozZq1vPTlr+Qb1/zPxLZEPF60hGU5qrHEN4pCmVKpFJ1PFtfb5voj0tREIlE+uv3mNVFbi+tUowXUQ3xY/Qk1l2Oot5v2xUsdjpgkk04RbtB3ZMUnUvWKambs3ATKxTc+1NPD8iWLGy7wVq9dy759eyf+3v3QX9lwxtmkU0lu3zuZ58Wnn8+i0y9g1/Vf5Ykf/yfz1m6EjS93dY2hwUH8fj/z26YW7q+ek7eymQz/8YXP8Zotr+B73/0W73rv+3mwz9mVw+5Z9Q0MeBOz6sPbgXeYflcAm4HLTNvqjidcLaSSSUCr8r8SEZ597nn89qYb+OSXv8LSxYuquuZ0T85yy6Wv2sI1X/iM43B6uUDwydTUhGulCq3QDlVT8b3kZS/nkSeeYt/evwGVY6IWMA9xputgKXLCuuRrubIFg0HOe8753HmHYXU1C0C3b5P4g2Sz2api9NbiN5nJZFxZNgoWr9UXvpQnn9zF/ffdy+9u+w0P7djO+vXHuMuPTs/35Ibv3fJbfvylT3HbD75l60sciTQRj1eeTBLx+/D5q6uqyz2nqQiqidGmvGg1i9fR4SHCkSbH4PdmspnMtPm4WidnWalkHXbCSby6sbjWgzVr1tKZt7iC4SawYdPZ+PwBNFtc16+8cAstK9bTtuZ4Y8KZy2/kwIEuVq9wF16vEk5RI6p5H29/+gD/9slPMTgwwE9/8Su+8Z3v8dzNzy9K48ZKXvBvnQ3uDnOZmQqNOqPCVUTWi8gdIjKWNys/L7/9gyLSl/992pS+Q0Ruy6d/TETqHum4YG2t9GFbrQ0XXPhctm67m5NPOJ4ff+2/K14n03mL8Z9ZNDnL6osXCgU59cSNRWkKAqnS5J9UMjVlV4GKVHnfIpEIF73mNfzkxz9CVSuGabIjlWrg5Cx/+clZZnG6dc8h2jeezq2//X1RmmpcBUSEYDCU76w1huEd2/JRBcrfZ/N7FwyHeff7PsBnP/kJfnbD9fznV69h7bp1rq6n9Y6HNQV6uzo5Y/OLSSUTfO1THyVrsabbxVbuSMdKBJGxzG99XAUaYWktMNBz2JW1FSAs1RkHnHBTHreTs+qBqjZMuFo7I2tMFtex0VEO/u1p1p10KsFwiKzFBUhEWP/yN7L2xZdy39Pum/2x0dG6rIBYwEmsun0vb7/pOga7D/O8y9/FfYeL4z5XE1Ggb2CAhR2exXWuMtMW158BtwOLgS8B14nIC4D3YMxSOxN4vYhclE//VaAHWAFcBdwkInXtto+MjriOKGBe/m/TGWfyxxuv47JLXkO0zLBm6Szwyq4C1TrC26WtZnJWPUgkEg2dnOUGO5+8La/6e/bt3ctb33wZ/X39+P3+iWdYcZnKXA7VXEURVitBlz6uhfyuOeFkBnu76T5sBCIvBOt3DIdlEkQFl4FAKESywYsQjB3sLOvjasfowtV8+GOf4JpvfpvVa9ZUcaS6jjbRaHq6OonNX0vbS67AH27iye3GghmF5+d2UZBsLktHrrRRrtZdoNHWpcHuw7QvcSdcU6kUYUsHsFq/Tyes9WUliyvk63LLrxb/1tjIKD6fj1aXbchUWLZsOf19fSQSCW779a2s3rCRUDhCzhcil0rWlH8ryWT9o8PU8h4W6raH7vwTr77yA4RMcZ1rsZj3Dw56wnUOM2PCVUTOABYCn1XVMVX9IXAJ8Abgm6r6hKruw1gm7FIRCQMXAx/PB7S9HugFnu9wiZpwFVGgip6dHQWfqeijYxV9YqsNU+PUow2HgqRcLEBQKQ9uSaWShGu0qLiedOEijXnSxdY9h2hpbeUb3/lf3vme93HBc59Lx4KFRenLWZKz+VBYjbKQG+Gw3C9N6w8E2LDpbP581x0T25yEq9M9DYZCJBNJVyKoVr/KTDZLMFC9lfo5F1xINBq1nZUP9kLHbgGGmaL3wH6iS1YhIiw9+wU8eHuxdbzJhY8r1GcBglq+YfMxdp26gjD6w+OH2Xbrz/njTdcz1uHOH966OmG9RKsd4nNezbAS1YTBAjjY3c0yG//WepXP/A36AwGWr1jJ16/+Kr/65S944eveBIAvFCaXt7hWK16t1v5kKulqqdd6UOkdjQ0PI+KjZf6k4LTWC27L29c/yIJpEK6xXXsYeGCnq9/o050Nz0+9EZHVDr+G+srMpMX1TIx4Xz/MuwQ8AKSAU4EdpnSPAccCG4BRVe2y2Vc3ykUUqNUXqhyNnJxlrgiao1HGxqcmuKuh8QsQ1D70JyJsOuNM/uWDHyaaX5vc6dma/VszmTRBm3XL60Uo4CdVhb8pwAlnncOvfz8Z5qvauxIIhUk20FUAIF2FS0bB2gX2YaQqU+3KdY0hlUwy0NtD00JDCHSccAaHDx6ip2uycSrEcq1ELludcG3kMq+FZ3PvbkEfvYV7vvrv7PifD7Jr7yFOfOO/seSM57rq2KdSScI235KdwKsk+pw694X/l5uctXXPoSkbIswc6u5hmWWOQyH/5pid9WLt2rU8/NBDfOV/rqFjifGu+YKhCeE6VabF5ctEOUPNrQ88wvxFS+pyHcNVwFt8oA48CezK/2v+HRKRwyLy4kZcdCaF60KMuF+/x1jb9vvAzUAbYHZeGclvs2437ytBRN4mIn8Vkb8ODAy4zlQ1iw/UBVXEYcnXegztFc7R2tLCyOioq2MqiQU3IYlSyVTDowpM9yScbCbTsIgC4N5VwMzajSczcPgQPT3dAMQl5Pq+bF4TNSyuScPq1yjBk83mSB/8W8V0bgVE5cUVZl65dnbuI9K+GF8+fq3PH2DJmc9l+9bJTkakqYlEmclZhU5TLpfF7yBcrc/M7hnW20Xg3t2CjvbCU3+EZ72Jsz54DcdsuZzo4pUTaSo9y7QpjqtVyFkDs5u31YLP5yOXK+8qUI9hdYBD3d0sW1ofceWE+Rm/7R3v5Oqvf5PFSyav6Q+GeORvk8J1KmVLzkB0GCfXuKHebtItC4s6t7XSPzg9FtcjHVVtUtVo/t+JHxAEPg1c3YjrzrSP605VvU5V46r6dYzCLgTMTqJRYBAYsmw37ytBVb+tqmep6lkdVfSsxkZHaHYIhQXFFoeJbTVYYuOxfRP/t9MZ9W5sWpubGRlzHvaqtzU5mUwSqaGn7rbclSyL7uJ9lsc6bJYts2pWtasa2RH0+0ml3bkKFCrvuw6kOG7TWWy705i8aazc5r6hCk6XxbWCxdDaENk1TG7e0alY4uvJbfduJ7rEEHL37hbu3S0sPuN5PH7fX0jmxWpTU9SdxTWXKxtVoCMdm/hNG10PwopNyMJjJ8S5FfPzsn5LqZQRDqvaeq4W8Vr4Hiq9G4XnZEem85bJCbUWzO/qoe5eli2eHCVtlAtE4VkvWryYtnnFQfR9wTBk6vNNp5JJItMU/aESgz2HibRP3lvzfbfWF5XEel9/41fNmm5E5CUisjs/ef1nImIrZCqly0+an9LiAaqaA34FrKyUthZmUrjuxRCqAIhRu/iA3wEnm9KdCDycT98uIh02++rG6OgorS5nUdajl76nW8HB4lot5RqB1pZmRi3C1W1oo1pITTEclhum267WcFeBYKAoHJYT1kp641nncuedWwGjcY773a+RHgiGGi5cM9lcWVeBunaaGhwOy+330HOgk+jilUV1RLitnaZVG3hq+wNs3XMovwBBZWt3NpebsLg2aoKVG4FV9Jy6thPOnljTtTSXy0f0qG7CXjmcrHQT7gIurK4FrALWSbDacainh+UNtrgWcHpnfMEQZFJF/rm1tlVGWMPqDRBulpyulsHebsLt7kNNlrPKHmkWVxFpB64H/g1DLArw2WrSicg8EbkcuJEpNK8iEhGR12FMpr+v1vOUYyaF6++A5SJyhYg0Ae8C9gHXAleKyAoROR54H/ATVR0DbgE+JSJNIvIWoJU635jRkfIWV7BYW10OWTzb1zzx/0JFmOm8xTYcVq1LMZY7pqWlhZHR6iYa1HpdVc2vnNXAJV9N1pNq8jYVkZTNZBoWwxUK4bCKLa7WstkugHHiKXR2HeCxR3fm36dSi/PQ9ruMUEtrokWLEARCQVfC1amRdHPvM9ksAZ/fVdpyVi+o/PwauQCBm/wX7ntvV2fR0DkYZVtw4tk88dd7AIg02fu4Wu/Ry4TQAAAgAElEQVR1tT6uteJGvN67W9BEDPr24W85geijY1WLoguWB6c0ybFWq2vOweLqlP9qJ2ZBfrnXxY2P4erE1n3jhsU1a7gK1FIGM6kG1+PVMNjTTaTD+d4WnqNdmc3fVHx8nGwuR0s02tBJgdPMFmC7qt6sqoPAF4FLq0y3ADgPODzFvLQAl2NEgHrDFM9ly4wJ1/xNezHwz0A3cBFwsar+FkO87gT+DFytqnfkD3svcAIwgCF0L1bV6pwCKzDtPq5VDu3WSmtLM6MVhKt1Ykw1mCuGdDqN3+93FdzfjBthUFTRVIq1m594Yf5NhWwDV82CQlSB6l/nuw6keOGlb+K//9+XSWcy1bsKuJjZPhUy2SwBFwH0a7EKlbwz07SEciV6ujp5cnxVyfb2DafT+eQTJMbHXYfDUs3hq9OoTD0I3X8f/taNiK/4W7DrdNi57GQy6WlbfACMd8TnEMu1UCdEHx2zFTzVWFvBsLgWYrhOhyiy61D2x0NTdhUo+FcnEtVbXOttbS28Q92HDhHpKLZm11KvDwwMsLB9PrGH/lK3PM4CrJPaHwWWiIhVzDimU9U9qnoF8OWpZERV+1T1Rar6TlU9OJVzOTGjtaGq3q+qZ6tqm6q+QFX/lt/+WVXtUNXFqvoVU/puVX1x3gF4k6o+VO88jY6O0tzcXDGdm56stdLuOPuUUkFYJ5+8SqKvpdlwFai3D6Dd6lmpZJJQAyIKlDQEDfRntLuf2WyGQA1hndwSqmFyVoGNZ5/L4qVL+MWNP5uIY+rGz9fq49oIP8lMtvrYt/fuFtcNktV/stEdwYphe2Ix4uNxaF5Ysi8QibLmhBN5+uEHCYXCJBL2wtVcpko+rlPJKxR/V27EVnb4YQJtpxeJumo6HYaveKlwHXhgp+tzVIsoDLoYvajVQrl13zjx8XGSqTSy55GazlE3/GFC+0dKNlcdGmtNdFpcvtzwhyf2kkmMs/1w+0QHqVb3h3h8nOZotHLCmeGswqTy/O9tLo8rmryuqkkgQ+nkdbfpZjWzpxs/S0in03UN4zRv0/lsPKWMwPIHydQpdEk5An4/oVCIeIOtawB+v59c1p0/Wa2EgwGSLicy2eEk0AaCbczbdL6t1cAQeY27f+FgkFQ2Q7aGeyciXHLpP6KqFeMQmwk1NTE25i7aRK2IVB7Cr9esbqa4Ln096O3pITR/oaOAXn38SRzYs5u7dz7O8uUrAOdOhqoaS+bW0R+0GuyEby7eia/ZOV5rpWeZTqVK6thqRWtt7gLuhHyt4jWZStIUCTP/jAtqOr5uiFB9YDx7OvsGaXKxhC/gWG/Wg/GRGMFoa1EEHrPLUwE3zy6bzVU9Glgr+/YIT+x09+sy5mv/tTCpPP/7tvl8IvJREclYf0AA0+T1/MJMAUonrw+5TDer8YTrTBNqpquvuHfcqI+/YHWtF075DIUNgVeNgKjWd7e1KcJIfOoi0mx1qeQe0dTSwkis1JJRYKorGfl8QkskzGiNnYuNG43JMk1lVm6z0tTcwsjIZJnqEY3BSsDvJ5O3JDs9Z7tGyC3m5yYiqMtJONVQzfs5OjpCIOJs0Vm8cjU9+/fR9fSTpBaUXwc+l83i8/ka5uNarQDUTArNjiHB2ie2ZNJpglN0FbAb6XHL8I5tDRlZ+POeQ45hy6aVXBaktKNTyzeWTiXJNtf2rOvZjqWSSfx1iierOj0+441AVT+vqgHrD9hG8aT2jcBuVbUO6exymW5WMzefXgOZdmtNKEomOfUA2G4qieZoE6NjjV+EoODfmnZpEXUrCsyNVUtThNE6CNdqiDS3MDLS2JBDrU1NxMZrq0NC4TBbLno1J5zofrZ3JNrM6IizGK8HAb+fTJ3FpJNw8fl8M25xHR0ZIdDk7G60eNVaujv30rO/k+Xrjy3bYcpmM44h2GaE8QEk2O4Ye9oN2UxpjOeOs0+Zas6qxupiMlWMFc6mx5JnpkSE5zIg9clHKpkkEqncEW6UsaVAOpUwJp3lmUpHN5ebnnkl08zNwAUickE+csDngZ9MId2sxhOudjTgpXZ0Fwg2kU1Mz4pW1VhczZW6nVWmkmUuFA6TTDUuzFI9hatbX8pgKEw2myWZapxrR1tzEyPjtZfr3e97PytXTk4KqtSgRCwW10YQ8PsmLK6NRsSHVliXvtGMVLC4Nre1EQpHWLh8ZdGa63Zk05myYaMaYSEvS2IYCbRVPWnJTDqVIjSNqzHVQi3uAprLIXVy6ahFCG5ev8yYVJXL2FpcayGdTBJpch9erxF0pGOc3NGCPxTmnON0SqIVjAU9fL4jS7iqaj/wJoyJ7fsxZvR/AUBELhORpyulm0t4wtVKA6w1Za0JwSgZG+HaiB5svV0FyhEJhzmUrb9Tf8HSVi9XgQJuxKuI0NraSqyMu8BUaW2K1GxxdUOhQ1KYNfys9SsbLlyDFovrVGORmsWa9TsxXAVm1uI6EhvBX0a4AixetZqVxx5f8VyGxXXyO6pnvVDTrPdEDAlMLepKJp0mNAsm/NQbw+I62aRW684wFfeH4oxkkDpZXNPJBBGXPq6NJJGI4yvT2anGR15VZ8Qy3mhU9VZVXaeqLar65vzEK1T1WlU9tlI60/47VPWE6c5/NXjC1YZGDSPYVkyhKFmHmcX1pqU5ymiVoqjWkC6hcJhUAwPbz4SrAEBb2zyGGij02qK1uwrUQktra82uAm4FqN/vI+NiYYV6ID6ZcYvr0OAAoZZ5ZdOc/cKXc+r5z6t4rmwmQyAYsLWsTru1FSAZQwLl41xXYseBkWkNhzVdGJa8mRdEHdEMyTWVI+O4IW1yFXDqNJXrTNWro5VIJPAH62Olb0mN4jvyXAWOKjzhaqFe/nF2obBsyVtcb3+mIeHOimiORqfF4rp1zyHCYXdLidZqfWuxWFwbtaKQlda2trpYXJ3y2xqtryUZJjtMhWsWrK1glKcgXKsRQtXc76DfT6YBUSbsOoIivhm3uPb39xOsIFyPOXUTS1avrXiubCZNsAEh2GqOMZqYunDNZdKz3lUASmO4BlZvKZtec9M3W71sPrIZqJOATqWSs8LiGo/HWdFeHzGe0xxyhLkKHG14wtWGer7SlcSA+AP4/AHSqWRJ2nq7C0ynq0AoFCbVQB/X1qYIo/H6n79SZIHW1lYOxBtnPWxtamKkDhZXtwtItLa0MjJanRCvtpPg9/scl7Kt9+zuRlhcqy3vQH8/oZb5dbl2weJa9np1tryWFbX1EK7p1KxZjame5ExL8zox/4wL6+cS4JSPbBZ8xe9MrX6h6WSCSBVRShpFIhEnWCFMpVu/ZM3ptC3o8Xguzn25MVe/3drYpbePJDzhaqGRS0aCvS+lPxIlOd74CVotzdFpiSoAEIlESDQwZqzV4jpdtM2bR2x4iIFgW0OGatuiEWJTmJxlxo14bWltZSQWo3+KYqQcQb+/JDZtoyzkxuSsxltcy+V/cGCAYGv9hKttsP4pvHtTWtGpThbXvuT0uI4UqFe9Xk4A6hQWiqgnaiNcy+HkH6qqJTF3rbFaGx1NoEAinqgoXN2SUz3iJmcdbcz8VzYLqdXH1akxq9TDDkSiJMYbbwltaY4yNk3CNRQOkUo2bvZ9S1O47j6uhU5FOVGwaNFierp7pnSdcqKnNVpqcW2kG0QoFCIQCJBwsfRorQT8fkeLa72RWbAAQf9Af0UfV7dkM2mCFSyu00qdhGsgFJp2H12p01iaUxgt6+SsWqlFDJpHLgxXgerema37xks6uplUikAggN/vb/hoYCUSiQTBChE43JLL5aYUzs1j5jlqn57zSjXTnBHAH2kiGbcXlPWsIFqi1bkKDO/YVnZFm3INTzjU2HBY9Y4q4JbhUDMHDnQ17PzlogrUMqzuRhy0trZV7S5QDQG/j2ydhavTd9GoBQjckkqliI+PE4hObeZ9gWym9mWG7To8tVpbJ9695Eh9hOtsik1bJwwfV0MwFt5Ps9Gi0S4CBXJ18nFNJZNlxaLbtqkebVgiEa+bX7R6Ftc5z1ErXMsi0pCVVZw+YLPFtZFWCCOqQH0trmVXz2qgq0DrFKIKTOXZzl+0lEMHGzeRbtWiDjp7B+p+3nKN5lQiC7gh4KuPxXXrvvGKYcvEN7NxXIcGB5k/fzJAf63LhxYwXAVmkchLxMge/suUTpHLpGsW45WYkhvEFJmKxbWeotZscR0/ufYJTelU/Ybnp4phca2Xq0DuSFyA4KjCE65W6mhyNQ+9lKuYps/HdRrjuEYiFaMKTGUI3G04rHt3S1Ux/irRvngpB00W13IdjVrKt3xBO2OJJEOjtb8PbidmFYY8W1tbyy5lO1UCgcZEFbCjezxXVVSBerth9Pf30bFgQd3OZ0zOKhZ5MxIGK58X0gmQqYnOXDpF4AicnKVlhOt0WVuNfGRtLa6FaCJuJ2qlk0mCsyT6QyIer5+rQHbuLvnqYeA9PRsKvbFGWF3tCISbSDi4CkD9hmSaG+TjanfdRkcViIbDJNLpkkk/U6WSRS/a2ko2myUWK/9uOAmiSkJJRNiwYilPdrkTn26o9F60tFYfWaAaAr7pjOPqI5er7lr1FK8D/f1VCdeCFdmps5HNZAjWsBpT1ZEQyrgEFRgfiSH+5iJrVS0raGkmTcBmwplbnERgwdpajdXVHBpuquRyWVt/0OkUrVD95CwrhQ5tOpmsuLLbdFFfi6tOWxzXalqnXIMnhh9JzJhwFZGPi0jC8kuLyBtE5IMi0pf/fdp0TIeI3CYiYyLymIjU3UNcVWnNVC/uahW50UfH8hbX6Zic1TxtUQXC4RCJROOEq88nNIfDjDbQHcEOEWH5ihUcOnjAVfpaRNGGlUt5qo7C1crm9cuKJpi0NtpVoA4WV7fL8voCIdINXJK3EgMD/XR0dNR2rI0lNZvNEMxbJ8tZWqdihXUjWiEvXF36t5Yb5ShMzjrSyFURVaCRYrZ+Pq6GWHQ7ggP1Hw0o1J/xRIJQnYRrOct4nbnxocQghzOVJ77uT4+xKxkDqH0t5aOIGROuqnqVqkYKP+ACYBcwCLwn//eZwOtF5KL8YV/FWFt3BXAVcJOI1L0GnG73l+mMKjDq8joFIf7ETmHggZ0TVgy3lVg4EplYOatRoaOqWT2rVncBuxnEy5av4OABd8LVjFsRe/zKZTzZdbjq87vBroPV2trqetnXWoS4k8V1qpZOO0uyPxQhnZz+SXsFBgYGXFtc3YhxY3LW7IgqMBYbBgfhWk2c0FwmNeHjWq/Jp26srEMPbWuoD6zmcgwnM1M6R7n74fZ7sUYVMD+baizM6WSyKitnoY5vRF2fSMQJhuytv/fulqp8yY1wWI2XPqp693AuvXRnYoht4z10pUY4mB4t+u1PjXDn2GF2p0YYyqXbVdVdL/IoZ1a4CohIAPgh8E7gYuCbqvqEqu4DvgFcKiLh/L6Pq+qQql4P9ALPn6l8OzEQbCsSeNbYd1YCkWbio6NFx1upRwVf7cpZ5kp+/hkXTuTLjXiNNkUZNZWpEZSbgV8NVj/YSuVbsWJF2cgCUxVkG1YuZfcBe+HqFIqnQCHvbiYyFZjf3kF/f5/j/qm6zAQDU5ucZS1HuefjC4VJubTCu3lO1T7Lrv37WbBgYdk01TybZHycpioDwDcqfNro0GBVEQWcXCCyqeoEUS3YCdRCmDQ34tXsAhGP7SvaV86twzfDK2epKrl0CvzOfsiFui766FhZwRcfGyESrc9qVXbt19D2u1x3JMZHxwi5WMEr03kLmc5bypYrlQ/zNR2oavdgLu0Pi4+dyRjjJjem0VyGR5Ix2nxB+rIpn6oOTUumjgBmhXAF3g7sU9W7gFOBHaZ9jwHHAhuAUVXtstlXN0SEXA1LRg4E20o+TruKe/OaKIHVW2hqW0Ng9RbGT26madFy+g5WDrFUSQAX0jhtSyZTRCwNhltRUjhHocE1l8uuoVx/7LE88/TuiWs0wl94acc8Dg0Ml81HObbuOcTWfeMTlZzVKmuX583rl7F6zVo69+0r2Vcv2qJNNa0KZhatBTG+dc+hihaQFStXcqCrcSG+QoEAqbSzJaqcGDeXxdzBMJdp8/plbF4TZfOaKMcvbpk2VwHr+/bwY4+z86HtXHDhcyseay7PI78sFrHDO7bRkY6xef0yWpIjLF++oi75tRMJTm4Cdmn3PPYw/ubi6ta8DGpBCBV+1u+p8Jyas2M85/h1QH1Ethvx49PiJQjcXrcgWuOxfWQ6b3Es0+Y1UZLxcVYvcmdtr8Xy68Z4sU7itLS2QKi5JKJAocMUfXSM0G3XF4k8u3K1xIc568TjK3aW3TCV5zwyOkpPTzcLlq2YuNd2luNM5y3EY/smnpldfd6RjtHbP8CiBbW589SCqub2pMbkmFAzT6VGOZxJ0JWO80x6nDHNHv9UalR0poNPzzFkpu+XGHFjngEuUdUHRGQ38GZV3Zbf/xzg+8CbgR+q6rGmY78D/E1VP29z3rcBb8v/eTLwaGNLMu0sBJzNZHMTr0xzA69McwOvTHODI7FMcGSW63hVrTmQsYg0A18ExoFPqOrMOeTPYWaD89QrgR5VfSD/9xBgHhuLYvi9Wreb95Wgqt8Gvg0gIn9V1bPqmemZxivT3MAr09zAK9PcwCvT3OFILJeI/HUqx6vqGPDuOmXnqGU2uAq8GbjR9PcuDAtpgROBh4G9QLuIdNjs8/Dw8PDw8PDwOMKZUeEqRkDAC4H/M22+DrhSRFaIyPHA+4Cf5HsqtwCfEpEmEXkL0ArcN9359vDw8PDw8PDwmH5m2lXgZIzh/0cKG1T1dyJyLbATyABfVNU78rvfC/wIGMCwzF6sqm6mK3+7npmeJXhlmht4ZZobeGWaG3hlmjscieU6Ess055jxyVkeHh4eHh4eHh4ebpgNPq4eHh4eHh4eHh4eFfGEq4eHh4eHh4eHx5zgiBauIvISEdktImMi8jMRqTn+2kwhIm8Skb0iMioid+YnrJn3f05EfjdT+ZsqInKSiCRFZGl+0t0PRaRfRAZF5Mf5uHezHhH5uIgkLL+0iFwmIl/Jl6lfRH40l95DEbky//4Ni8i3C0ssi8gbTNt/KSLzZzqvlRCRP4vIOfn/R0XkByISE5HDIvJVEQnm960TkW0iEheR+0Rk48zm3BlzmSzbbesFMbhLRD48PTmsHmuZnN41ETlbRO4XkXER2ZOfsDtrsbx/80TkpyIylM/7JaZ0Z4nIg/n37wkReeXM5dqecu2SiKwXkScs6SP5uj0mIl0i8t7pz3V5qm1rRaRDRG7L64vHRKQ+6xd7VOSIFa4i0g5cD/wbsBIQ4LMzmqkqEZHjgK8B7wAWAb8DbjDt3wT8y8zkbuqIiB/4DhDKb3oPsAxYBxyT//+cKJ+qXqWqkcIPuABjAmEr8CrgPGB9/u/PzFxO3SMi5wEfB16BkfcNwIdE5HTgK8DrML6tEPDBmcpnJfId2G8C5oblw8AJGCH1TgeeBVyZ33ctcCewBLgJox6ZVTiUqbCvXL3wLuA5jcxbrdiVqcK7di3wXaAtv/9qEVkzrZl2gcOz+jKQxSjTZcB38oJPMN65n2ME8H838CMRmfryVXXCqV3Ki/HLMcJbiuWwzwEdGHX7y4HPWIXhTFJjW/tVoAdYAVwF3FTo2Hs0liNWuAJbgO2qerOqDmKsVnHpDOepWp4PbFXV36pqHPh/wGn5nl4QQ/TN5VmOHwDuNf2dwajwCgt++zEiSMwpRCQA/BB4J0Zj9XVVfVJVh4FrgBfMZP6q4CKMUHSPqWo/RkV9CXA58E1VvUdVRzBiMV87g/msxPkYEVRGTdteBHxZVbtU9TDwv8ALRGQ1sAn4jKrGgP8E1orICdOd6QrYlYly9YKIrMVYXvuXjc9eTdiVqdy7lmGyrvABKYwViWYbduW6CPi8qo7mV4m8A/h7jM5hO0Y0nTFV/RPG0ubnTm+Wy2LbLmEYG84DDpsTi7E65uXAe1W1X1UfwbgnvdOb7bJU1daKSBi4GPi4qg6p6vUY5Xn+DOT9qONIFq6nAjtMfz8KLBGRlhnKTy3cTPEqG2diVMwx4CMY8W+3z0C+poyIbMBohD5h2vw1jN7uANCf//93pz93U+btwD5VvQujfD8w7TsLODgTmaqBEJA0/S0YFpMzAZ+IbBeRPuBLwP4ZyJ8rVPUTqnoFxjtV4ArgD6a/C8/lNOAJVU3mj81hWM6PZRbhUCYoXy98F2MEatRm34zjUKZy79qVwP8AaeBu4D9VdTaJIcCxXE7f1n7g/Px7h4i0YYjZ2VRnOLVLj+TL+WVL+mMwOhiX5N0E9gCbVHU2GSWqbWs3AKOq2mXa9hizrJ44UjmShWsbMFz4I98QZfLb5wSq2q2qewFE5DXArUwOcb4W+NSMZW4K5Hvg/4vRAx8z7foYRqO6DGMILcbcc+/wYQwp/TuAqj6tqv0iEhSRT2BUgp+cyTxWwZ+A14rIWhFZiOHK4ccYwrwYw/q6AVjNHHF/KJC3Io+ISLOIXA28GkMUFdUbeUaYA/WGiJyMQ70gIm8DulX1tunO1xSxfddMoxofxVj6+yXAR0XklJnKaJX8CXivGH79FwAvBPyqOq6qOwFE5FTgLuBOVb23zLmmFad2SVUzDocsxHCRWoHxDN8AXJN3A5kV1NDWztl64kjgSBauQxiLGwCQ9z0JAIMzlqMaEJGFIvIrjGHatwBfB74HvCs/pDEXeSfwjKr+0bL9IowhssOqegD4AkaDNJd4JdCjqg8UNuQr6IcwfEXPVdU5sdqbqv4aQxz8BXgAYwSjJ7/7W3lRPoDhgzjnhshE5PnAExj+u2eo6t+w1Bt5oszyeiPfYbKtF0RkBfAhjFUI5yJ279ppQKuqfllV46r6B+C3GC4gc4F3A2sxLKlfxPCp7AHD1UhEPgdsw/CznHUubtZ2SVWvcXHYv+eF+d3A74HnNjSTVVJlWzsn64kjhZleOauR7MLwcy2wEdg9l8SeGDPqt2EMg52gqqMiMg/DB++3hh8/foyhtMOqunTmclsVzwNeKSLmCnkvxlCLmTQwxtzizRiTEwDIW4DuxJjkdI3OoRU/RGQ98EtV/Wz+78sxrOHtQNCU1AfMme8KjAkzGKLg7ar6U9OuJ4GNIuJT1VxeEB6PaXW/WUorDvUC8DZgFbA/vy8I5ETkDFW9xOF8s4W92L9r42BESTB9U3OpvjgWeGN+/gUichdwT37fD/L7T8t3pmYVdu1ShUP25v+dtXVGtW0thvtDu4h0mFweTsRwd/NoMEeyxfVm4AIRuSAfYeDzwE9mOE/V8nrgkKpeXqgcVHVYVYOm2etvBf44h0QrqvoaVQ2bygCG9eGXGLPWl4nIIuBfMWbXzgnyM4IvxPCHKvAR4L9U9eq5JFrznAncKCJL8jOAP4wxSeEG4EoROUFEOjAm2f20zHlmI58E3m8Rrajq08BTwAdEpAnDR/nR/AjArKVcvaCqt6hqyLTvR8An5oBoBed3bTeGz+i/5ofbz8eY9DhXXCE+DHxYjLBsbwKWA/+Xn93+CuCls1G05ilpl8qhqocwXB6+ICIt+WglFwK/bnA+q6Gqtjbv4nYL8Kn8+/cWjM7jnBhNm+scscJVjVnQb8KYgbofYxjmCzOaqeo5FXiuiGQsv1kX8qVOfAnjw9+BMZnuYYxhm7nCyRjDR2br3KnAJyzP7+mZyV7V/BxDhD+O0fBco6r/h2ER+oZp3wMY0RLmEqcC37U8l0KH4zLgHzAmCb4Aox7xmBl+gM27lvenvAjDlagHY8b3G1V11k4StPB+jJn1fRhuA69W1TSGC8R8oM/ybl42g3m1Uku79FpgAXAA41m9TlVn04SzWsr0Xgwf2AGMMHMXq2p2OjJ7tCNzzwjk4eHh4eHh4eFxNHLEWlw9PDw8PDw8PDyOLDzh6uHh4eHh4eHhMSfwhKuHh4eHh4eHh8ecwBOuHh4eHh4eHh4ecwJPuHp4eHh4eHh4eMwJPOHq4eHh4eHh4eExJ/CEq4eHh4eHh4eHx5zAE64eHh4eHh4eHh5zAk+4enh4eHh4eHh4zAk84erh4eHh4eHh4TEnOOqEq4i8V0Rea9m2VkQS+f+/VUTeUMfrrRURFZHf2Oz7RX7fWhFZIyK/FJH+/O8WETnBkl5t1lLOiMhzppi/RK3HlzmvishSEXmuiDxa7/N7eHh4eHh4HH0cVcJVRNqAy4CbyiS7FnifiDS5ON8XRSRnFZg2ZIDzRGSe6dgocEF+H8CNwIPAKuBY4H7gDyISsJxrpaoGLL+/VMrrTKGqd6rqyTOdDw8PDw8PD4+5z1ElXIG3AjerajZvWe0WkX7gHYUEqpoEtgKXlztRXtheBnwfeE+F62aB24FXmra9HPhzfl8UOBu4WlXHVXVQVa8C7gGWVFNAU/7eIiL7RGRcRO4RkVNN+0rKLiJ3i8j7TWneJyK/zv//BSLyiIiMisjPRKTDlO6VIrJLRGIicpOIRE0W1i4Rea2I7DKlf4mI7BSRYRH5tYisym9/nojcLyJfFZHe/DmfVUvZPTw8PDw8PI5Mjjbh+hrgdhE5Fvhy/u9jgBMt6W4HXlXhXG/AELifBP5RRNorpP95/nrmvPw8//9x4DHg5yLyOhFZAaCqr1XVAxXOW0Lesnw1sAWYD/wln0/KlP1G4BWm02wBfioiK4GfAG8HVgJx4D/z51oL/BB4PbAc6ADeb7KwrgS6TflaA9wAvBfDsvwwcL3pmmcDB/L7fg18qdqye3h4eHh4eBy5HDXCVUR8GMLoMeC1wE2quk1Vh4DPWJI/ApxX4ZTvBr6uql3AH4ArKqT/NbBZRJpFJAy8KL+twAuB7cBHgE4ReUpE3m5znr0ikjD9HrZJk8Io605gKYY7woL8Pqey3wScLyKteRF+NvArDFF6k6renU//SeCi/DGXAreo6oOqOgq8E8PFwYnXAbeq6u2qGgM+BWwSkaX5/b3Al1U1kb83q8qcy8PDw8PDwzaOQLUAACAASURBVOMow+o/eSSzAEOoD2NYAjtN+w5a0g4AzSLSlhdYRYjI8wE1+Zb+D3CdiHxFVbN2F1fVmIhsA14GJIEHVHVYRAAE6FHVDwIfzFtM/w74uojsUtU7TKdaq6qHXZT3I8BzgWeAEdN227Kr6n4ReQhDUDcBf8rneQ3wVhF5i+mYgIhEgNXAHlMZnwCeKJOnNcDTpvRpERkGFuc3Daiq5v+f4Oh6Pz08PDw8PDwqcNRYXJkUQYIxfL3atG+1JW3O8q+V9wBfK/yhqtuAPuDvK+Sh4C7wGuAXpu0vwWSpVNWYql6HYck9rcI57XgjsBZYp6rPA8wRDcqV/SYMd4FXAT/Nb+sBvqKqEVWNAPOAZ+etov2YfHBF5NwKERl6MYRzIf08YCHFQtrDw8PDw8PDw5ajSbj2Yljx2skLyLzQmg98zJK2A4jnh7+LEJF1wIXAdZZdVwPvq5CHW4AXY4jDX5m23w0sFZEPi8giEWkRkZcCm/P7qiUA+IFIflLWlUBQDPNuubLfhDFp7ALg1vy2nwOXishGEWnG8G/9SH7fL4BLROQUEVkA/BcQye/LYohSMz8H/kFEzhORFgxXgdvyLggeHh4eHh4eHmU5aoSrqmYwrJqnqOpO4F8whNqTwO8tyU/GmNFvx7uAZuBJEekq/IAvAM8RkbPK5GEAI+TV46raY9oVw7C6XgDswpig9BHgn1T1ActpumziuG6xpPkRhktED/CNfFk3AO8sV3ZV3QvsB7ap6lh+207gwxg+pz0Yw/1X5vftAD6KYdF9CrgX+F7+dLfky7rIdP6HMazVP8LoSGwsnMvDw8PDw8PDoxIy6VJ45CMi/wrMU9VPVEj3BaBLVb9WLp2Hh4eHh4eHh8f0cbQJ1/kYIazOzltg7dIEMSyzz1HV8enMn4eHh4eHh4eHhzNHjasAQN6X8lsYYZyceD3wTU+0enh4eHh4eHjMLo4qi6uHh4eHh4eHh8fc5aiyuHp4eHh4eHh4eMxdPOHq4eHh4eHh4eExJ/CEq4eHh4eHh4fHNCAiZ4vIKTOdj7nMUeHj2tHerqtWLAMgO16ypgD+aEvR30898zfWrF3LeLb03owkJxfTivceINy+CF8gxFjSlGisDwJhmttaJza1hn20hYPG9TRLdnyU0XiC2FicVatXGXkTP7Fk2rYM5uuaz1mJbCZD/6EDLF61pmJagFQiwcjgAAuWLZ+4ZmKgm2BzG/5wU1V56Duwn3kLFxMMh4u2lytL4R5Vor+vH1Vl4SLrGgfFZJMJOg8c4Nh1a0v29fT14xMfCxe0Fx8j/qK//flVfPd2drFg0SKi0ShAybNqCweLtlnL4rdfDRiAeDzB4d5e1pnehXL09/UBsGBhcfkPHTjAvNYWWltb7A6bIJFIcqi7h3VrVk1sq3RNp3ez3DMbHR0jNjjAqpXLXV3j4IGDtLa10tpqfDvJZIpDBw+wdt26svfPfO7R0TH6+vvpWLqs6F0r+kZNNJtez3Lvc6GcvT29+AN+Ojo6HNMW8trXP0hWlYWLFhVtf3rPXtasWkkwWLyqcbn7s3v3bhavXM2o6TE4lQnclwsgNtCP3x+ged68kn3W5zs8NEQ8kWDp0qUlaTs7O1m0cBFNUaOuML8zI8lcaX7TcRgbwheeWIAPTRWvRyKh+RP/zzVNlqO5uFopwZeIkctmae1YULY8ACOxEUZGR1i+fHnJvlQqxcGuLo5ZZ9ShhWdUKJu5XL54rqQMmkugmgMC+Pwh27yaywjF5ZwgncCfHCKyYPK+2z1Xc/n27d3LkqVLiUQiE9tyOeWZp3dz3IYNE9uszwmK361CuSbKlOxDNYX4oo5lKZSh0nOK93SxYNly/IHJb8GpTunv60dRFi4srfcPHTpEc7QZIk0T5bA+Fyh9v3LZFACnnbqBSjz44IN9qrqoYkIbRCTQ3LounU4NoqpEmhYzMrzbr8bL4fYcLwGuAZZjxE9/i6qOVJNGRNYDv1HVjaZtnwE+BBRET5eqHltLOaeDo0K4nnbyifr7n/0EgOEd22zTzNt0/sT/L7r8HXzyqs+xJ1v6xW3dNxls4KGvfZQNl7yT6KIV3LtbJrbrtq/DyjOQtedwznHG/d28xvjAN69fRkc6BsD2237BVdfdzC+uuxaAgWAbW/ccss2f+boFCucsx5MP3s9Df/4/Xvu+j5TsK5zTfJ7uzr3c+r9f45jLPz2x7eFv/TvHbLmclmVrba/hlI/7//BrHr//Ht7woU8RCBZXRNby2N0fMO6JHV//j6s44dhjufjvXu6YriMd41B3D1d84IP85roflOz/6ne+x/y2Ni7asLTo+ZvPVchLOp3mea9+LX/46Y9JzittsCthLpMdv7v9Drb+5R6+9InJ5+RU9o50jG//6Cdkslmu/Kc3TqTtSMf4wCc/yytf9AKef/55Za93x933cNMNN/C5N//DRNmdrmfG/H5uXr/MMV2hvHfcfQ+/+u0f+K/PfrJiuQA+/uEP8sotr+Kc854DwL59e/n0xz/G9350XcV7WDjvTT+7gQeffIYXv/7ykvfM/J0CE98nOL/H1nJ+91vfpLmlmde9/o0l76o1j1/73g8Jh8Nc8friQCZb3ng5X/+Pz7FyWfG5ne5NLpfjpS94Hh/6zvXcuT/hWJ5qymXm1//7dVYedwKnX/j8yeMcnu8vbrqRgwe6eNd731+y793v+Gfe8a73cOJJJwHF78vWfeMl+dVsCm56H03HfQhfyBAjmc5bitIEVk+urzJ+crNtGa1sXhPl/j/8huG+Xl70j/9UsUy/ufUWdj3xOP/ywQ+X7Ht691P81xeu4vpvXQNMPqNC2czlij46VlKG9Pij+Pxt+MPWlcVLy2ctoxk9/Bhtf7uVky77UFE5rZjL+JY3vYFPfOqzrF23bmJbfHycS179Km793R8ntlmfExS/W4VyFUg+/W1y6YMEm89wLE+hHE7PqZD3q//l7bzpY1fR1jEpRp2e03e+8iUWrjmGv3/NxSX7/uMLn+O00zcROn7TRDmszwVK3694bB8Ah/b/yfaaZkTkQVV1XGSozHFrgqH5e8ORDppb1wLKyPAzZDJjpBL9S1W128U52oFngMuBO4FvAwdU9X1u0uSXWH8N8E6gWVVPMB33E+D7qjr5UsxiApWTHDk4iVYr85qbGBsdhabyXUXVHCJS2nhkEhCo0M0EVixo59DAMEOxGPPbKouGWujev5clq9eVbLcTwgChSBOpeLxoW3osRjDaapu+HGe/6BV0PrWLP93wQ176xisqprerrDrSsYmGwiwKunv7uPDcc2zTmdP6fD6yWfsObTabJX24EzZUFqJPPrOHVcuX0xyNUsbIZUslwTW8Yxt/e+gB2km5Ps7v85FKpUvS5nI5Av5iq53de9+540EWzmud2D9v0/kl99COcmLVLt+ZTJZAIOC4H4rFWiqVIhSa/HYEQdGK97Bw3oFgG13793POyYYxYfOaaNG7fs5xOvG9lhU+Zcrp8/vIZXMlebLLYyKZZP680nsqPh+aK72+0zNIJBIEQiF8vmILm7k8UyERHyccjbp6vqlkknDYvn7LZjP4/eWt6mbEH8I//2wyA/cQWvp3QKmQs6OSGALjHudyk1b6cmUbGxulucV+lCIRT9BkslhWjeagwkhDASfRCrBxeY6De6vz7kslUyXPyrhzU39n7M7h5tlZxbZhPJs8l1M7ADA4PMxpLfZWa7/fTzZbHJ7dzffR1LZmQrw2gvkLTtFAsIXWeccQChcs60Lb/ONIJvrJZZOHOxZtYqB3R6WHsgXYrqo3A4jIFzEsqu9zmWYBcB5wGDjGcu51wNNTKOa04vm45jE37m2tLYyMjFSuxC0f3ASZ5IRwLXw0dkIxEgry6vPP4l8/dZUra1ctHNr7DEvXlApXM+a8hZuaSMYn/1ZVMmMjBJudhauTCBYRXnn5lex9fCeP3fcXx+MrWYQ60rESUdDd28eShQts05nT+v0+sln7IeZMNovP51xXmM/z6K4nOWXj8SXbK2GXdnjHtqIfwMH+QVYsaC/aVg6fv7hRLpDNZkvEjR19sVEWtpV3J6gWu+eUyWRKhKvdcQVSqRTB0KR1XkSodlRof2cnq1bZW7fAaMyswsf8Dlb67ps1TTgTL5umQDxhL3p8Igw9+oDrzvTY6Citzc6ixky11laAVDzOs9evdJXWF48xL2D/bmez2aqEK0Cw4zlkBu5Gc7ZrwrjGWlaf32/7jdgxNjpGs8P9jSfiJe5k1ZGjHk2t5nIg1QnOZDJJMFQs9FTV1WnM75FVUPsXujM6lusc2lFOtIIhXNvnz7OtawKBAJlM1vYc5vy7Edf1QERaos3LNRnvpWPRmSbROkk4soD2hZsYH91Pc+tqFZFyFq9TgR2mvx8FlohIi5s0qrpHVa8Avmxz7nXAt0RkQETuE5FnuS3nTHDUCFe3DQRAS3MzY2NjlRM6ff3ZNPjd+Wpe8dLn8fBjT9CWGHSdv2oY7OlmwdIV7g8Qw8JVQHNZVBVfwL6XC+Ubx0g0ysv/6Z+565c3kMvlKh7jVhSOjI7S1lbZCqwK4iBOE90H8OdFnvn9sMtDJpMl4mBlMh9n/ZkpJ0rHEklamyJFacuRTmcIBkvfMVUtEuNO50lnsgRtBGU1otzNcTlVV0K6cL+SyQTh8OR9MBrZ0ufndC870jF6erpZYvK/dCveoLJo7UjHjAbSoTNkZWg4xjyb0RQx3RNrOezu5TNP72b12rVGHi3lKYgDO0FuZvP6ZUXlK/y9ef0y5jcFbe+zlY50rKhMpe959ZY8X9MKfJEVZAaMzm2m85aJn1vsnrHfHyCbMcRwpec6MhKjra3UvxcM8dcaqk6MNwJfIICaLIqV3AQgb0m2CHLN5fD5istT9F64+F6yvfeCVD9ga3fuUDhCOmU/jmX9Fg5197DY5N9qrmvF56u6k9tgPhYINjOv4yR8Pud75feHmL/gNMT4dn4sIn81/d5mStoGDBf+UNUkkMlvryZNEfnVQvcD/wWsAL4P/Dq/0uis5KgRrtXQHG1i3EG4Fg1FiQ9bv2rNgs9dRefzCU2RCPG4OwuOXT7KMT4yTHMVbgjZdJqASaRqNovPX10FZa08V23YSHPbfHb99d7idA5lsFoj7YiPjbkavstmsxND5+bzDe/YRi5nL4qgtMLsaJ9P/+CQbVq79Faq6Ti5OcbJkmc+ttzxwYC/SHxZhXs5AW6m0n6A9EBP2f1FaRNxwpHJDoKi+HFujKxlVFX6+/pZsHChq2FvcPctmcsZCPjJpO0nqlnpHxxkQXt76Y5knGzO9ZwMHn7oIU4/vdSfsEAly5adYDUTCoVIp1LWw4oolL9vYIBFC+wnphnDte6G52HS9zC4dAvpnt+R3ndz0X434tXp+QVDIdfPaWhoiPnz7dvpZCJRsdNaiVS8d0rD0eccp/iCYbIOAs+OZDKJKkUTs6A2q7gV1RQizsYMO5cHp+cUaW4hMTZa8V3pHxxkODbC6hWlE+iqoZoO0RSJtMzfQHTeWpra1pT9ReetpXn+sQAPqepZpt+3TecbAiZmSIvxAALAYJVpilDVtKqeraq/VdW4qn4T6AGeXY+b0Ag84Wqi0Ag2R6OMjpZGHygw8QGKoLlcaaORmxSudg2K1S2gpTnK6Lj7FWatFYBdQwRGRIFkPE5Tc+kwV9HQqOn/mXQafzAwsU1zGaSGSs6cHxHhnJe9int/+6uSHnEl0WAVJgVBlkilSe/aXjEfhUq6cB6zoMup4nc59LagfT4DJuHqVtjZlcGO1GAv43t32R5r9xvavwfpP1hy7nRskLFnHqt4vYDfx0jXnorpCtiVsVy5C/mM731y4m83JBIJlgZMQ8aq+CzPqNy5hkdGCIdDJY21G3FqfmfLPd9gIOja4to3MFgStQIM32vzt1DJ6vrwQzs47fRNrq5ZoBpLczAYIlVBuBbo7S8VroX8WoWrW/zR1UiwHc0MVH2s4zmDQTLptKsOzPDQEPOchGsySSTsLNIKWCcwFcim67N6uD8UIZcXrm6srbHhYVrbWks657UI15KyaQrKCNdqaGpuIW7T3lq/ge2PPMrpJ59Yk+h2ejZAQ/1b68wu4GTT3xuB3aoarzJNESJyoohYJ6EEARfDzjODJ1xtmD+vjZGYYW13qvQ2r4kaw312QxO5rCtn/MJs7mhTE2Nj5Ss3NzOerXmNj47Q1NJaNCxZiWwmjT8QnLimZrOIS+uxXR4KHHfaGWTSafY+vrOq46DUApvN5sjmcgQD/oqCKJvNImn7BjmXn1znho758xkYcra4OmHN39D2u2x/qsYg69D2u1ydN55M05T3BbXeH3ExXBv0+8nk1PX1wL1YN5dZHbY7kUgkiYTDE9doTY0UPSO7c5i39fYPlPg+Fyjp8K2J2n5XlToigYCfTCZTdmRgeMc2hrb/mb6+foKdu4q2D+/YhoiQs9QdduK1Ix0jOHiQrv2dbDjhBGrBjXALhUKky1gnzffEEK6l97gjHcPv95NzKVytYkI0RDZdcXK1awLBIFmXFtfh4SHm2YQCg4JwnbS41upOM1X8oTDZVMJ2n90zdnJ/qIvFNZdCfPURrpHmZtY2V87Pjp2PcuapR3X405uBC0Tkgnz0gM8DP6khjZU48N8i8lIRaRKRK4EQcH+d8183jkrhWqmx7pg/n/H+ysOb9XAVmLfpfJqjUcYtrgJOVtRKVhTzMWOxYZpbK8wSt5wvm8kQCEz6Tp67LEQkFJxo5O0afzd5EZ+Pc162hbtu/umE35kVtw1CIp0mHHTnkzf06AP4/faveS7vD1p4H8oJq0DXU/T39rq2HFoFTUGglkUm01YikUrTZGMFcuPjNbT9LtKH95HJz2p3U343OIk4q/CsxgVCTceXtbTm9/X29bHQFF/V+g1NhF2zGbUAd+9g+uBexg8fKLm+VciOJZIEA34ioWBJuX0i5GyiCtix49HH2XjiSYRMk2yqsaa6IRgMOlpczfckl8sZ7g8dNu4PQMQHmWxtk6z8waXk0t0l73C5od1y9yEQDNEaKF9HFMo2PDTEvHnOFlenKAp2mPNrWPOEQhduKtY9XyhMLp10/exjsRitNvMAMlVGfrBDq7S4lstzU3MLI7ERx/0Ftu98jE2nnOS4P5J1N2IwV1HVfuBNwLUYPqk9wBdE5DIRebpcmgrn/RvwZuDqfPrXAq9U1Vl7Q48K4Wq36EA52ufPZ3BouHJCkQmLa5FLQM69cAXDp3Y0b3F1EqzgvrEqHD8+EiNaRrjana/gKlAgm83gC9RnYsIp515IpLmF22/8sWOaQuNeTuglUmkippnn5QRNNpebmIBlRVVJdO52k3XmRZsYiSccQ2uZ81KLAFS0qmkt8VSq6B4UYTmR1boLEPT5yNj4WNbqi1vtcXbWymw2SzqTIWyeBe0wOcuJ3v4BFi9cUFaA1ir6CvkNBvykXVgV+2OjtLfYz1T3OURLsLuPjz6xixNPNkb/6um3ayYUsncVKJlgGBuhuamp+BmZ8Pt9RJOVRYjV2prpvAXxRxEJo9n6TFQNlBHjZnK5HLHYCG2OFtep+7hOhULbYlhcS31cnd6JkVhjLK6Zzluggo+rWzavX8bGlcsYGSkfWm44NkJX1wGWj9XPIg9zyk0AAFW9VVXXqWqLqr5ZVZOqeq15sQC7NJZz3GGO4ZrfdqOqHqeqrar6XFWt7G82g8wK4SoiJ4lIUkSW5v/+oIj05X+fNqXrEJHbRGRMRB4TkfOdz1o77W1tDMUmPxynimFeUxC1a8BcugoUCAaDpByGs8s1VJX2HdcWJtzUVDGtmYzJVQAgl7WZgeoyULsV8fnY8tZ388T999B7YL9jOrNgtROviXTaWbSZGN6xjVwZ4ZPLuReLfr+PBW0t7O3uLXs9O9xYUI14pe6PiSdTNDmIB/M5nM4T9AspBxFu51PrhBvBWskKXDhHIj8ka31equrqOsM7tjE0HCuJm1rpvXSyttr5RYPhZpF2GDUwc2hgiCXt9h1H8QmxXdttn4+1rGPjcZZE3UUpsWL123UiEmli3OJnb5f+kcefYO3qVSXbCxghiYrvjdu6B8AXXEAuUx/heu66FSQSzpNeC+XTnk7a2lodw7alkklHoV4LTmKpXAxXAPEHQXOOI1YFCi4mIyOxiRXozOSyOXwOo1Bu0VwKYzJ6ZSq1F23z2hiu4IZ19603sXH1cgJ+Z/cwLTOJs8A0TszyaCAzLlxFxA98B8OnAhF5AfAe4ALgTOD1InJRPvlXMUzZK4CrgJukHt0+C5FImESy8uzNUDhCNj2ZbsLqmsuAL+A6hl1vXz+LF5RfurQW2ts7CKQSVTUcqXh8QuxCYRJJqcBx8g8sSWe5dlNzC0vXrmOg236FMDusFsO+h+8lkKl2GYBSkv3dExHNyg2XF7ZtOWcTP73rvqquYRYmAw/sdPzlhoZJW4RkOfE6nkwRjdhbgUZ376wofKPBAOPpyU5XpfR2AracmCw8q+S+J0m4iCowvGMb3Q/cRbSpeFJVMBgkOWpvwbPNc98B4gl7P0C3mMtqV8amcIh4qrLv5NMHuzl2+RLbfenRWMm754RTx6saq2pBpNlFjOhIxzhmcTtDB/ZV9GH+0U2/4JItr3Ds0BQmZ9XqB2oIInfWzXKCaPP6ZbTNayM2bD+p0Jy/zq4DrFjpLMYTiSQRm2/Nfb3qEO+7SkSEppZW4mOTI4jl8pAZ7GVxi33kETs/+GraCciB1C4fzNdatGgxvb2TBgG7DuTOv+3n1HWrirbZUWl0ZrpiuHo0lhkXrsAHAHOcpDcA31TVJ1R1H/AN4NJ8YN6LgY+r6pCqXg/0As8vOeMUGN6xjXAoVLQqkROhSJicnbN8LgtVhJA61NPDsiWLq8mmq0pm4aJF9PZMigZXq+Ik4oQjk8JVfMYqQfXIT4F5CxYR6+9znd5KOpcjaLEYOFZkYDuBbmj7XSiUzFgvx5Zzz+D+XXvoOlQquu2ubxWt5QiKMPTM/pJ0hXNYxftILEZ290NFVtWh7XeRHXE3gaw56Geob6hivqy4scKay+3zCVmXk8DiyRRhX/G9DIdCpCwWJmuZzTRHwhNuN+YG0NFn3GJtdWPZjYbDxPq6S9wvrDgJ16Htd5HT4nfPeo4if1if4Q9rJwZtZ5eblk8Gd367q1Ysp/PAwbJp7r75Bg51dfGstuIYtOa8BvyTYdbsrlvozDsua5obQ/zlLY+Oq2ZZnvG8efMZHh6esPg7CfJ9XV38f/bePM6O6yzz/75VddfeF6nVWi3bsizZcixvchzbibITkgwMYRKGIUAIgQkwyTBM+LEOkwwJA2H7BYaQMMOQkIUskAVDdsVLEileZEuyJUuWrV1qSb333W/VmT/qVnfduqeWe7tblsDP53Nt9a1TVedUnXvOc97zvs97zZrw7HnVamWRrgJLoy26c0OefHcPxca2epxY/8zsLD3d3UseTOaSP0Wn9CFY7xUrR+bnqbBdj33PnWTbxnUtx4K/17y9YGFfaj/wTmCOvARr/RsTfczh25/v6l4xeF6Jq4hch+sU/Fu+r4OZH54ErgWuA+aUUqc0x9pG1ESaTqdDt+6bymVz2JVm4nrnJgVOnTs26V0F/DmhAWYLBaq1mjYtpId202x6GBoeZnJyInZryY8NXSk2jixoYBqG4WZsWQLMbw0NDTMzcbHl+6So1h3SphH5DucHNFnYgg8SDSdhBhkP3bksP7jjZj79D19uq75JkBaohcxvunaWanVyKVNbJsk02ZW2KCYMDkoKHYkzNdHzYShVF9wf5mXPnt5LtbbQf3XPwv9dVzbD1JlwNxS/6H67/c5rn33sAKWarT3m/xx+7jgjUye1PsaORuZLR16n9z5E9cKZ5uQdIQFnwX+3g3VrRjl5Jpy4Tu99iE9/ew8/eu8d2mBHr646V4GkdVNKoewCYiTLENZ0bc27zGQymKYZq5F9/NRpNqxdE0rwVHG2reAsPTqzuAZJeq67h1LIDkSw/jNzc/Q1XAX8lvS++hwGjpbIh/0mWhYaKt7iqltg6K6/cmQl58+H+66WqzWeO3uBLev1+q1JFptxbhgv4MrC80ZcRcQA/jfwLqWU31O/KfMDMNv4Lvi9/5ju+u/wsk9MzrQXnJVJp6kEnPp1P7hUJss1Pa0/TlF2Yu3Tc2PnGV25sq0AlCD824BN9Uul6O3tZWJiQRsxNPCrMZEXiwXy+QWLjT/fd5zVKgz+83ZePUrv4DDTAYurbtIIswZWHUU6oY+W4E6IOsLj2gyin3twUHzDjpu576tfi3UlaUdmCsASodYgeHFWUKUUpbrdRFybC8Tfr37oKEW7+X7t1tlDlNXRFGlRLwhDSaOUkElZ8xbXJPXrymYolBfeTRJrU9DaGiZZ5iFvWRTr0cFZhWqdqXKV0Z6c9rhSitknj4Ra2P0wRLBjUpcmkfaKspSvWrmSicmplnHPO+fE+XGePHaK195+U2Rd1cwEM0efarl/okWCqoJI2zJLUdfu7+9nemoqsh+cOHWa9Wv12QUHazPzvtedY2lcBQDyPT0U51rTkevaNzM7R09PSKpa32IyqSW/Ga1pbHXb8ElSKff19btJHmaayavXV58+eZarVg1HxjVM732oaWOt3UXpC7iy8HxaXH8BOKqU+nrg+6bMD0AeN+tD8Hv/sRYopT7iZZ8YaDMnezqdSuQqkMnmqAac/5VyUE5y7dOzY+dZPeJuJybd0kkacAGNbZgL4QFFweuViiXyvhSB924cxZRwvdiw7aqoevUNDTMzMd7yvX9SjSJvVdtOTlxFsEt6HWWlXGGIdrbLVw32s2X9ar5+/4OJz0ly/bRANaFhu2I7WIaBpVFL8NY/Uf60Ew/vJ28KRc39gmQkbjs8jkyaRrPFNap8uVqd16b1kLZc4hp3H6+O3dkMc+VKU19qZ6s0CTnOpcwWi2sQx6YKrOvLY4akDsmX8gAAIABJREFUG66VKvODbxx5tUyTwqnngOREMHjc/zx0wXeFfd9jZV8Ph771T1p3kC997zF+cMfNVA7sbnHV8NfXNI3EGcGCVjDlJLe2JrUs9/b1ocZPR5Y5fvoMGxrEVddXypXqIoOzFk9cvfbmunspxUXge+9vdpY+DXFtx0iis5q6MQ/hbdJmzYroryLC6MoVjJ1fmKf8fe/JE6e5JqdXR/GjevEsIvK86exeCojIa0TkSCNA/TMi0hJ9F1dGRK4WkYOB7zaKyEMiUhKRPSKyZbnbshg8n8T1ZcCPiUhZRLz99mO4W//+zA9bgScaxwZEZFBzLDGSTExpjcVVh1Q2SzUQCOIJ9icdHM6MjbEqgX+r32IZheCPdnjFCi5caA6OibpGoVggn18YeFxBcU1wVoj11X//sAHktTdvZXr8grYuU4890DSR60hf1V7wcfW/z7CAmjADpKMUhWdOtHwfFZgD8IY7t/P5f/znlvL+NoTh4H59v0gZCxZXiCa7Zx8+QBY1T0L9qE3NMnP4udBzPeQMoeQobcR/2OQQZYUMgymuj2sSlCqtFlerQYSSXsM++sS8xTUJeW3Ht9VDed8hipVa00IgiGNTBa4e6NYem3h4Pw7N034UeU2nrCZ3iaRot21rhgc4fbE1c1WlVuMbew9wTz58l8HrD5ZhUqvbkc9eR4as9W903QRi/FuDiBsP+/r7mZzWSxtO732IiUce4Oy5MdaubjUGeP8vVyrksplF6Bx3Rlx1zynf08tIKtlvYer8GMbpo4nKtkX2VB3ESjzHhb0jv/vCyIphzl3Qxz08sW8fm4db1RE63SG6UtFIKPAp4L8Ca3E71fuSlhGRPhF5G/BZWjvkx4D7gRHgc41rXLZ43oirUupHlFIZpVRWKeWFPl4F/BjwThFZIyKbgXcDn2y4E3wJ+J1GdoefAXqA9sK8fQjr+JZpopSK9Q3NZLMtFlfHriNWcumac+cvMDqyIlHZpNsf/kFoaGiYifFW62aYn1+xsOAqAGC0kcIx6eCXy+UoFwqJ2xO0Fk4eOUE6YTawuYOPhhLX6uRMk49r0oFwx/XXcP7iRY4ea5W1CV7DT0g80npwv7R8Js5Ji4+rnxT5219yFFmfJa+JQCWcTCwRUgJl1VrPpYB3PdMQ7AA5DsqdeZ+iRuJLREgbRqh0VxD5lNXkKuCHfydAtyugU4AI/j3x8H7SAnUF9cBCw/85eOQUK6entMdA7+OqI69Tjz1A/dxxqo1MXX5Euf3oENe/1wwNcOpi6wbWfV/8Atf0ZVsi1HV9xpk8N68P3C7Rc+yZjvxbo7CyJ9+iye23Jp+bnGKgO99iUfX3jUq1Qu25g/PnBo/HYwldBbp7mqSjwoKZAGaKJXry2Rbr+exTj2KXi9pMbZDAz9WpgjQHH7cTra/77a1auZKzjQAtf72UUhy+OMvmIX0MSFOfDhnoo9R9cr0bEtb6ssAbgceUUl9QSk0Cvwe8pY0yQ8BdwDn/CSKyHtgOvFcpNQP8IXCViHSWqu8SIHno+yWCUuorIvIxYD9QB35PKfXtxuF3AR8HJnBz8r5JKdV+YuwG+m+5V/u9iD5p5s6rR5uCq1KZLLVKuekhqnoNow3iWq1WyWZaJUsGazNMpKKzXkUNnt75K0dWMjZ2LrRcEFIuMGDa8+dbloWdIBNOOwP53/zf/8O9L31p4vJBGAKlcb3WY3AwDpsu4oha1KRrGgbDQ4MUislzkIdZWj2kgXPjioNnhS3bmgfaYF1LDuRCeLtB8hjmlAg1R5EL2c7uBEGyV63YzE63BsfoSNTZpw+Qq7a6BfRkLGYrtXCfXh/qjoPpGxKm9z40n1rZQ9Rkr2tDECJCjynM2IrBkMxMx8o2r+gL315uK2itZtMdSDkaNjaEqSSEqTB46L/lXkZrU+w7cIypngXiX6nbfPrASd5156b573TPZ/B2NxWnZRjMHD8CL7ktpG5n2XV84XdTvLGL3P5ZamP34dQukO65M+QptG5BRy18vfYPDw1ycdy1Imul7golBrrz2n7ioVKpkk7FT5XFG7vIHyhgrX9jQC+0hn+qTUKW/GTL7xZx+6ar+N5DejelYPuKlSpdPhkv77gvb05ku3duyLPreJE7Nyl2H1no53bhWYzcukiyGkYWw+aJ1atGOHN2rKUNz333GygUw/nw39LUYw/Qf8u92MqheupZbRv8aH0/VwyCgesHgBER6VZKzSUo8yzwdhF5GfBhX5kXAQe9RAVKKUdEDuHufh/iMsTlIIcFgFJKlFLnGv9+n1JqUCm1Uin1R74yY0qpVyulckqp7Uqpx9u9TxhZDcJ2HCTGqpfOuK4C/oHFsesYbUhhhaaNZfE5sQdrM2xaOcDE6ROJg1Tqvqwqg7UZVqoitVqNgep0rO9q2DX9ePSRh/nOAw/wi+/6z21dx4+0NFsnk/pfRm3txiG4NT47O0dPd3ckwW3nPhkleHQhjuSWHUUuxLIquGETSWAJdLzqCyDsueYNSaxecLFYYUgzQQ1k00yWq033CXuXpZpNPmVpXUh0CBK7pO9swBIm6/onXXIU43WHNenw8aNegcOHFyzuHsJcY5zzJ5rq67eOhe2eBNsWhanHHmDTUA/PjDcHsv7DwdNsGupm9PiJyN+OdyxjGtRsp0UXOcxdQNXKFC/8BXbhGfLX/w6pq/5dy7X9BOnOTarFv1WnS+th1YoVnLtwMbQPlKpV8o1FQWiZ2RkyMcQ1SNS8Omd71iI4ZHuvJde7oYW0euU8Un7nJhUp9zU4ODgfbBsMvPOjVrepVGt0aYLK3GQnC/doxx+8eGMX9ux+rN6bQo/P13dDvmkhFXXtNaOrOHawdcfh2GSRq/q7EJHI3/3UYw+4WRJ9c1fLbqKvbv4+dZlZXW/zgsobn3f4jjUFqDeIZp3mAPUkZYJoK/D9csBlQ1wvJ3h+f0Yccc1mqQVS8Cm7jrRBXD2NRg9JyWFSArlm1Qinz56LPcc7ZjsOlk8RwTAMTNNskrgJ+rHG1cUrY02c5oO/9wF+5Vd/jd7e3qbjukkjjMC5gUwqOTFUS78VPj01OS8142ExPlcZJVQkoQXOUeRM/bMxBJ1srRZODZ4+FE2Sk5D9qGNdDeKa5PmPl6oM51sn2r5silMHnokkTR6KNb3aQrsJFOKQKhgceJYW4glwvGKzNmNy5IDRcswrbxK+wAg+b8+tINi/4vx2oZmQh308rOnJ4SjFg8dd//PHHnycfz54ih82msc4nauLh/q5C0yfPNd07xYXhwbxvHOTYpO9F5SD84ZfQxpW5KC+JYRbW+PGnpUrhjj9zNOhxy8cfJxcpjl9dDBjWrVeJ+3LqhXWHl09lVNEjFwif1CtfFRAk3dgcJDJiYlI0jr12AMc/c43GMhazD7xUEu/EQE7EJsR5obif1ce6uVDmD03tNTVT779CHtH/iDAgdnznPHtonl1PjZVYEN/V6ivuB+lC+cwDdH+rnX6wZeCvJavzlG8sSvRp7I+A/CIF1Te+HzEd7mmAPVG8iWL5gD1JGWCaCvw/XLAv1riGmV5tR0HwzD0MiG+VVwqowvOqieSwvK2+kQMSoHtDT8Wa3VdvWoVp8+NRabd9N/Dtu0m4gqQTqVaUlxGEdYwQvDJv/8id916M7fc1rqNGESU1dENZGr+ThdIBCR2LWuH2CqlmC2VUUfD4wJ1vq1RyCBUfVYQHSHyvjt6AirTeuIwNw0nT7Seq4OJYPvuGfcMgseTWK+zBpQdEm2Lh1lcM5YZq7jg1aNYq5O33P6rW0joIuZ11lbd8/M/725lMCuO9tjXjtcZmrW0xzyYSqhL8/vWtWni4f0Ux8ab1AmCFjJdQGRShQ7/faYfPcDPD1h8dM8RvvvAXv7qfIkfG84yaBlN7dDBO5Zq6BHrJNb8VjCPEM2cOMyGF92MGGao1ma7hMjD9N6H6Bo/zYXpBd3TYHBhuWZjzU1FJoCo1OqUDz6s7U86dwWvvm7AWRExWhUQokg5hMubXdOTYtKnyBIWGHq+UGFlV6bpe+8z++TDgGrZRdJZ8726gPv8VXES6mVKt17dQryC9dchLIHJ6FA/Z8anmtoALnFdMdkaMOjB37dtpVrmLl1dwsjrFYBDNAeubwGOKKVKbZYJ4mlgS0Oi1JMq3QzsW5JaLwMuOx/XywGqQVzD4Pm6prNZqo0EBJ4vjWPbbbkKGEa8r1vQpy3KRy/or9Tb042IMDM7R19vT6zvbL1en99u8ZBKWVRrNfI5vSalri7e/736FEslPvvl+/jrP/lg6IQTVBQAd0IM+nymBao+zVPPv87zdQrCLleAznK96+qY2rqDtGVpB8kk2OO48lw7fIEoGSWUNRZXHVEoiiKnWkktgKQlUc5ucFetDs3PuF3yGnsPEXIG81ZX713pMF7UW1zV5DS1bILF4MP7OV+okUst+IyH9Yko+IPowtATIK4eThh1njNrvLXcGgXth87iquvr4JL+0omzcN3q+fYEfRN1Frjg70nXnuD91mVMfmpllj8+U+S2boueY2kOBs7x+q8fXl8ePyuo4dbn4q+vN37u3JDn8ROHWbn9Hu5c7fpR+klF/kBBS4iipL6CWNnfy4VG2ldtIo+6TTa1sNDR9ZVKtRorv+eSo+K8L6jn7yq9GzDqg1irowmSR8q1mdB81mXV3U21WqVcqVB56uGmcv72nS9UWNGlT/fqT8rinee1O8rnFeC69FEOD10TakFu8s29ejTSMuxHf1eeuu1wave36E4vzJ9Hz07w8pGFecfrw/5+6/Vx20lRPn4Ibt4KLCyUvLgUv6+u1688n+QrBF8A/kBE7sH1XX0/8MkOyjRBKfWMiBwGfllE/hx4D3BAKRWtI/c84l+lxTVuIrMdJzYV6M6rR+d9XP1Q9Vp7rgIikdbQOMRtf4pIk7sAtPqE+WHbNpYVJK4pagnkeKIGpr+/7yvcfvOLQoW+/QizNHqfU88YkVmmghPUYvNDBa83WyrTm8+Flokid/5Jf49TmP886ZSYw9GSgiAmDZsBpf/p+n1c46yuBkvn4xqFvCEUIiymEw/vZ2zPPorVGvV9h1q2sj0rXhKUHYUZSDgSJt3l/957Z0ks1QA9SpgNLDSqKL6aLvKqao5sjKl/Tjk8qUot71t3f0/qPdivtMFGGr/WJJZS/yfzbJofKue5/XwzifL6qg7eMUsJ5xsGsjCrq4fi3CzO7Dhdq9YDrRZVP2kNs7bGuXv0deUolSuMfX+X9ni5bpOzmjPQ+QPZJh69n7qjSDUs3mFt0dWzeGMXqnIeIxMudxiX0SlI0kWEocEBjj3ULH8eHH9OPHOCnqlpfXAhre5EYW4oQavr3OmjrN18jbauYeQ7LPGF/1lP732QlXmLsbmF+XRszz4u1h1G00ZLH9b1aVsprMa8HeWe4seVlFFLKTUO/CSudNVJ4DzwARF5q4g8E1UmweXfCvwobuD7KxrXaBsi8lUROSEiD4rIA43PgyKypNplL1hcNVCOwkggcO+pCnjYuSHPF0/YGFbyxyqGkYi4epbSJK4DwVXz6lUjnD53jq2bN0Wc5cK2HcrPPsW0FOavkbIsarWa9tpJ6pK7YQef+Pw/8Mfv+2+hZdqBhevj6iHKkjez/3Bb105ioZsrlenOhVgzAvAPrlGk1FJgy0K5HRGyQJPisMXRR9km1Qc4uF8wM4IjaqlSqYcib4ibpSvV+q68iXXSVvSbol0wpqRZ4zYKnuKCrk+E+SB34v/crQzOSq3Jen5/qsx6x2Kjk4pdgPgXGMH3HZyQJ9JwlY+/BC1kQYQFmvnrFNW/AK5yFnYogm05U2vNRLg65QrdH1MVDMx567H3Hrw6+a2u3/3OUVZffR0v39gzH/ntEQt/FLufEPmJXJJxY3rvg6zpzXNsqtiiBTrx8H4mJ8qYCK4S4wK8+tZsN710u6L9Xv3r1kWyGX0O+qALRJDwhSWa6c9YTMzOMTrY31RXr00AF2uKLQ3pkWA/mKk52NVqiyKEB2+M9+Ycv4X8z04dZc3dr+fOa6N/j+1IsnnfXTfUw6NnJrhm0NU/Pl1zWJkyeOZA+Fzs36UoTc5gXDPSMoYH1YCCfcyzjl8JUEp9GQjmHP9Y4xNVxn+NbwPXB747DOxYgir+AK6LwSs9lYLlwAvEVQPX4hpPXHUW1xcNm5xMmDULGukcE07KcTI+umN92+9mzeiqJotrFMrTE5gNNwnvGqZdZ/yJ3XSdHZr/Pkheo+ryyY/8ORsGexmdPcv03rNtEV8dLIRSfH6IWEIyMwOnJoXtW9u7/0yxRE8IcQ27ZxyR8WSsHBQGEkleJw2HAWVoywRVBcK2n717LofFNbid12U2KwvontFk3WHA0v/m0m1YXP0at2ETc1y9IXrxsMcpUFaKchoUCkH4Z5nlqOmwvWiyh/hJsB3ZMgWMnRLYSgsRDC6ydBZkXd9LYtkPQkdYg8fSZp7z1Ofv7SevHjxCdGDfE7x0h0vqPNIWJLA6BIM544Iib1zZy4Hz02we7mnpe2UHBq3wvlK1HSzltBwPc33w13/3EYHZMcovuQrJJ7PsxSV1md77EIM9XYzPFFra7m/beN1hKBXuHuWfcvx9KjL2o16nfO443WuuDq+/j3y3+57ecN1qfutbB3hpYYqUIewv1FlRiKcoXj9zlKJ45DisXshR5HeNC0pj6VwHXsDi0JDS+nfLSVrhX6mrQBwq1WS5qV+15ap5H1cPYhj0ZZI/VtM0cRxnURHOUZje+xA95RlOHzqQqGzKNKkHxN7TKYt6IAlBMGVkGJ4+eZaPfeMh3vmGVzad678GtBeRbyqoSzPRCCOMpsi8UHxYJHTS7WEPhx/dM2/tiKp7O9cV3Ehz/1P2uxL4PyUUB+xiUxkPnt9qFLx6RUW2B8snbYvuuWYNoRwjiVV0FF0herKmwLlzyZ5nyVHkA9dJooigs4yHPX+AjHI/46bbrrMpxYaqgZXQ5m01+nDwnjp4rgJeHf3tCW5t+xF8Xmdqc5HkMwztnDdVL6MIb48/AOjw00+zecuW5hTSOh/PRqCSjtQlGTdGe3KcPnZG2w+6TWG63ppIwsPYY0+RDlhbo+7pr/+tq6fBrkFuILR8lG9rEN6zG+7tYXxmNpS0HtwvnC8qJo62qlpAQ3kk5B5hMmY7rx7lyOOPMLJhI6+6Xp8wJ6iAoLuuH8H3kT98lD5lc7LqjoKPF2tstpst/8HfoYeD+wVbuRJ/Hvzzkt/lwf+sN0x+HZUwRfELSAal1FPLfY8XLK4azM4V6O6KH0hSjRWtXa9jNtwDLCuFXatphY+117AsigmzAvnRDtEd6M5z6OSZyG1+73r5bIZipXmxlDJNqjFZxPyYH6Suu43/9vG/5z//2x9gw8hwbP11W5s6q5cViIbXwbuWK53VPjn1oBtwn50ssPWma1uOt7Pl7BEBb4v1TG0OU2WxBaIyOioUSlpdArxnpbPk+a2uTZHtvucYZpkNEtEw622UD2UpLVS7ot/XrK3Ih0h8jY8JKuHrKztqPgreD53rgO59JbVECsL6qsGxtEN/SZgxFZvLyResZbtGzVGs8qnQhPX3C6rOxsZQHWbFDPZD73147fETz07Iazsoqzrusqi5vsB8YFnvzS/huaNHuHXDCLBALDzLZRj8VrwkpHXi4f3UZ6pUQ7rfxozJfZOtxiGvvlVHkYlI0BHcTocFy17h3Al616xndhGpUXW+vCv6ejj59FNw81Wh1yqKQ14tqEH4UUCo5FqDMoNBrkGXgeMPP8j2l75yvo1RCHtPOmUSP9ZnTE5UHEZSijNlh1HH7Udhuwb+38tCr4t3+dq5IU+tUuGDX/s0d/7GK5CEUoTt4oa1iuGI3QM/Ts/C7mWpxb88vGBx1WB2zhWXT4KufL7JXcBKpajV3H3suAEYoH7+FLW6u8JcSp1JP/q7u5gulEKv6f8un023pMxMp6z5OsbBP0h96OOf4q5VPdy7bXPic4ITrm7A8lsmg1bXoMUkYwiVDoPfwibGo5NzjM6di5w4w3xbg9Yr/9+OcjhXL0YSCwWIcolTEHucAoYS7BB1guAEllZQXYIBO25RkAJOnIwuM15zGLZagzCg2Yocd6+qchcrOkQJmHeCAVswgCNZh15bYq2t3rs+U5tDFDgiLe9aZ+1VAs86enLlb0uwXTrSutwQQNH8G/a/M+8388y3/5mUZTE0MNC0Fa4jb15yBZ0+LcRr1KYMafKJ96Ny1ORYyebJkO4Q7E9R/SZoOS6cPUbXqg3zSQV0H6+sDmHxDF1TZxgvLvSHoLW11tAVCcs15V/cxu1aeXODMX6Kg089xc+96d+EXDXZe4rD+ozJE+dsvvm0zWrHwkTv6uLBf2yu4KayDt4nmKzDQ6kwS1dPT1v+yy+gPYjIby/HdV+wuGrgWlzdlVycfFQ2l6NaKZNrEF0rncZuBDJB/MrUMg3qTisp9G+nx/mThvm7eRjozjM1t/AD9/u/Bq/VlclQrDQ7kKYtK5HFNUjkTkwVeMdt17R876+nLpAkOFAF5aMMwJEF/8IoS6BncfXKRiHK18urX00pTs+UuKo/rz0O0aQ1CoZy2+WV9ayxfnjbxmE4r2oMEO/mAq52bJQjUpiWqf9ZJ7FkWwHNUt01n00r1ttm03dbtikO7hfEElTCfGCOgnOnhIN2eJ/Q3b8TeFbXp3IO12qsrVHv21CKesOSF3zXwf6vcAmhZ2GKkgSCZr/WS0laAUS5OwK6/uv/fR3NjrJxxUCLVQ+iU7lGpecNgyuf1/r9wf1CDiGvDCbF4eB+s6XPVBzV4ioQBb/ltWvmNLW10f7Vuu31qFiGqcceYCiX4WJxIZOcvz2wIJcXNt4ZCXasgmPg0eeOs2nDetKZTOT70dU57B3pxhLHMDmfqmEaddbbVlu+2I4oghmYo/rXp08cI9fdk8hN4wV0jFcC713qi75gcdVgrlhM5CoAkMvlAhbXNPVagsihBlyf0ubc6u1YXv2kMEz2p68rz+Rcq9uC7rr5bKbF4pqyzFiLq+6+rpZgK4nyi2G3A88C9X2n6Pq5Jjjn6QMGFsnKBuvowT/wnq44jHZnyfgkdJIkG0hCIAylcHyTpN9C553vkZjQa5A85euEU+eIj7om9fvV+QlHwcK1AoURYYAZcegNSHx5x9pp09TUwqDWLiHtJGBpwBbWVoWheut7i4KhaHJ/iLWya+oYfA/Bd3KpSasOOqsrwDNPPML6FQvBnhCe1CT4fbvpedMiVJUK9XEfcUzOGvZ8Pf3HnnkWakV9Xw9LZ+sRo7ETx9h5S/RuUxBRqjFeu4fzacZLldBxpygOXSFyedAaGBhmdfX7uz7z3DGu2bghUZbE4Pl+hPVZ7++Vjsm4YXPcrDNTr7Wcr4PXx+rQQlyjcF13ijUrhuMLXkYQkdeIyBERKYjIZ0SkRTA6rIy4+CMRmRaRMyLy875z3isiFREpNz7PXMp2tYsXLK4azLXhKpDN5rhpuAtPbMNKpajXkv3gACzTpB6S89yPdtwGghbYvq4808UijqMwIvy1ALoyaeaCrgIBi6t/NR7mdF92FBXboS8TL/wfFwEdhrjoeW8w9IhTKrFYVDiOV23W+CzkSTVbk0ACZCaIM7U56gJKhVtUBTiuqtyewOrqWUL9vmKdWh+j77MQiOS3FvrvpSOuHtzt53gc3C+odOt3UZbXxbZXENKFEhfaPM9dpDS3V2elPFObo5xJMVG3GRR3Ma3zhQ1a+Z8v0up/V157/PX1rK6VugMT57QJFZJk5NMlKvHD79N9xhCmI4ahUcfknGFzo29t7l2vbkb7nHsI7szdMdLLH0xOMLRqNTtjEpVEpa/V+YkO5jNMFCo4Ko0hraR6rypRUSp0/HFQLQv5OH/Xg4/sYcttO0Lrqauzdy3/PeKQQuhVBtPi0O20PrdgbICHPU4BB8WxwwajjbxRQauxv94TqV5mZqbp6e1NZEG+HCAiA8CngLcB9wMfAd4HvDthmbfhWkC3AoPALhHZo5TaC1wLvF4p1SwQvATVXuLrAS9YXLWYnSvQ070wMUT9UHO5HKXSQjY1K5WiXk1ucbVMg5rdmShRnMXSs2oW9n2HvGUyW4rK+uZCG5zls7j6I5ijIkXH6w6DBkw+Eq1m0KmvoQDfV+Hi7f5/pwIR3O3UJ/j3qYrNurSh9ZPs1EXAg99VIAxKBFEq1KqXlORBa2T7ciHVWDj44X9WDoqiKHpCWLvQukgJg6J1UIsKHFssOiWISd6138oevJcuujoqQcClQtTiy6+KUHMc0o1gPL9lL2yBHpUNLMySP79wjXFVGXFMxgz9GBy34A2m3/Xw7NFnuOaaazASkta4a3uYeHg/c489Sc4QZuzWXYw9ToGauP7rYZDGf3Y7zX03yvL63NgFVtVnYg0ouvcU9o78/dXfn01b0Wc3uzroYgOCsFkIzoqbVwZrM9Qnx+jr64ssd5nhjcBjSqkvKKUmgd8D3tJGmf8A/L5S6rRSaj8uwX1z49hGYDmsrP+0DNd8weKqw8Wjh+jbcG2ish5x3XmL69tkGCaOxmfVQ3CgsgKuAsuFvkyKk99/gL6dr40sl8+kKZb1Pq5xRLlJR7DmMGRJy/dh0En3QOvK2oPR0M2PE28HPXHqFLO2YlOudb23GBcBD0Kzq4AOQVeBoJVOlKACVlQd9jgFLKN9F4pOEOeqMdvwyTNDffLiybj3/MN8meNI6lLrmsYh7F3rryl4STp1v4skCQIuFYILp6DV1bPszZw+T7chcKObNSsuqYJXxo+kC48U0f1vpWNy0bC1fafGwiTpt0qGRa175PXI4cNcu2lTi/h9GKJSo+pcI4ZTwsNPK9b6ynn9oCbRVmJBIGT89MOzvCqlePb0Wa4aWaGtXxBR80QSTeGVdWkZ43QIjn22uFKJQQTTj8/Xc3qGke5sbBzLZYSbgL2+vw8AIyLSrZSaiyujOfYkrgUWXOKBuahSAAAgAElEQVT6lyJyG3AE+CWl1PcXW2GlVJKsXW3jBeKqQalaZTSXiy+IG5xVKCz8sIyGLmsSTO99yLVmdkBc2/UP7cummCrXYmVCurIZJs6dabq+MznGlJqDTeHWgSA5Ha8rhlLJDPpx0j068ur3e4wjaSklbvR8cFCLmfd021znM4qu3uYTdVaPTmBoqhhEnCyU3zoZ91z8Fte4su0geC1LCXUjvGWz4pBGqKO0kfmGEpyI8/2I8wG+XJDE4upBiWvJ9ENHYC8Hn1ZwdwX80JHX+qjrj+gX9o8KMk2SmjcYxOnBili4euco4H5VINf4gXnXmDYcsoEfXVCKTBdAe+zgPjbf3Eiu4JP68hAWjBVGWoPon7M4Y9isdaymdoCrFJKKGSjCdmaCgX8TD+/H3nodadOAw49ATFbBqPeUdFwcsA3O1OaIF5Nc6FsKRbWRvCXMPagldmRmltWr3HS8STJSdoLtq7JcmzD46/GTGXbDbSLyiO/rjyilPtL4dy9w3DuglKqISL3x/VyCMr3AtO/as0CviKRw08P+MfBt3HSv/ygi1ymlphI39hLiBeKqwdRckf6+5hVY2Krsphe9iG9+/Wu86tWvZefVo3zj8Mmlq0eC9KNJ0ZW2KNTqodf1Bpw15SrPTs7x1Plptq7sw3YU+8am2bkxPN+2DrO2ojdEl7MdhFlc28EGx+IRq8obqs3d3UG/Qo9CBcj5/ISX0ic0GJylQ8p2KzyTNumthi94kpBQUwl1cRKXXwyiWrXCMel3DD6RneNHy13kA5v9tQQTseczu8zZa5cMphP/rpPgciGrHmqGzPdRHTzyOjauMGwTGnk8gn6VOoSR1jAVEg83GjkqtO5C+Mutrxo8kbe5qmKwsu762p+zHM6ZijdV4n8bfvI6OT3Nd77/CO/62Z9pKhPnSxlFWoOL6HWmxRNWlTvqmaZ22CjSjnAm7f6uzWKx5bfnAEJ2/lcW5jPtkb9H9jzJdUM9LXXSqcP46xo0SOiwVP23YLhjedCzP2oOfe7Qk2ztTbWdxnyZ8YhS6odDjk3BgvCziKRxOdxkwjJNx4A8MKmUqgH+vMQfFpFfxE0B+9XOm7IAEXkt8C1gAPgvwAXgQ0qpcuSJIXjBx1WDi9OzrFqhzw4SxGtf93pOnzrFviceB+Deq0ZCdeF0A5ejVKL0sotF1jIo+5QBgmoEHvqzaX5pxyY++N2nmVl7A0/nV9M3MMAdr/rBtu5X1GQw0kFH/Fanuuc/SRBHuu6sZbhg2Bw2F4LmtmxTZLoUV19NaPCO36rilamJIut7XUkll5JAEljhDGBkrsZEzqIuemK/WsIUHBeww+jCUu722lIj+D5qorAiiGcG4Yeqea62U3wuW6AU0BAoiWqyekU980tpcV3MospoPPskvedKsSIDlC2DbIJg0youyYjTEY1DEiveXqeo3anw99M1NYNtJZPzKYc9XTb7szZjacWPVroYUslSeHs+uo8feIobr9/MiqHBtqLw28EG2+KMUee7AT/V0ynF6VSd0ZkyF6XGqd40xUBCjpopmI7T5Bahe47zkf+lOtdUWu2fnarDQOdZ3HQoieKprM2GqtHUprj+dGzsIlc1EuMsV+bKJcYh4Ebf31uAI0qpUsIywWNbgSdEZKuIvD1wrxQkyF2dACLyAeBPcAn0h4FNwMsb/+4IzytxFZGrReTbDdmGp0TkZY3v3yMiFxuf/+4rPygi/9Qo/6SILMsy6WKpysqGVEscUqkUP/GTP83//d9/hVIKpRSmYTSLUQeEj/2DleMojDYtL50MFFnLbCKuUdfaPjrAz/+b1/Cev/o0f/vN7/AjL7kNEYm0/gazEulSbz5fSCG8tprjm+kSg5vrCyRUtcqnROW137JNoVKKbEy7/BNiO+QmKJEUhrSjWF03KHW1urOsleTaCXdI/pL4uNaJ39oRhLtrGdbbFp/PFCn6yGsJRY7mLUwdtmxTIJeW5HVKXg2SB9LpXAUuV5RSBjkNcQ0GllVFkW50dl0SET/833Wyw+E957gFbpcj3FSyuK1gco+d4y2VbgYTklY/Hr3/m9x4/YIMVhg5TeoioHNZSiOMOiZTvi2jGopTKRtHBEvBqkKNoWKd8bzFua4UdXEXS1NZi3SEVdwPpRQHS3W25MxEiTuSWFuXgrAqXOt+0TI4kLNZVzUYqevpjJ9ge5+ze3YxOTPL6FC/9pzLFF8A7hGRexrqAe8HPtlGmU8Av9LgUTuAHwc+C5SAPxGR14pITkTeiZu/YtE+rg38JHAv7mt7RePvtwBv6PSCz7fF9TO45uOVwP8EPiEirwD+E3APcCvw4yLyQ43yfwqcB9YA/wP4XMMUvmRwHMXFiQlWDrXqu4UNQK941auZmppi17e+ya5vfQPDcB9rkLDq7+fESlQtBXKWSanWTFxD/aduuZdX37qNH7n7diZmC7z0pi1Nx5Kg6KimLfUk6GS7Ouk5qx2Lu2oZPnSuRLExaNeVIhWzaAgS2bJSZNpcaCQlN0lcBbzrrasazJiKaZ/v5w6jqy3rXAbBFrjDaE+Au10rc12SSZEJwktrWTY4Fp/OFpgRh/Nic8ass2ldsoQCXmaxS4mw91s1hHNdKQopQ0tQTQfsy2RxtxRwgKopZBJYXMepk/b1iSAhTZLhbCkUFILjxw6ji7uNbjbbqRZ5tsQJLU6cYWOqeUnoadH6P2EIG5eDz+gqO8WktVCnU2mHrprdSM7iIl93WDNTJW0rTvVmONmbwXQUw8VaIgK5+0lFXcGoL14hLlNZ1OJisaRVAYWUwcneDGe70xTzadZVDUYDpNWvYKHDqZkia3pzzD7+UMdW40sNpdQ4Lun7GK5P6nngAyLyVk93NaxM4xIfBR7H9YH9HPBupdQRpdRzwE8DH2qUfzOuNFZyeaRopIEi8Dpgr1JqBtdloeOR+nnzcRWRW4Bh4H1KKQX8TePhvx34sFLqYKPcXwBvEZF/Bt4EbGo4DH9KRH4d1+T8laWq11ShQE9XN+l0vP6oB9M0edvPvoM/+MDvsv3W23jPr/9m4nMdFa+tuhRwLa7xE4qfmP7ovXfwQ3fdSspq3+pQspfH4upNNPuZ4WYj11bXf8uWNJ+4YPNn54q8oi9NyVGk2qiiUoqKA5kEy70dRlf7Oq7Euwp4JMlE2FgxOJqx2V4yudNwv4+y2Aa1Uy3clKV13H2hJPAm73ayZ9VQ5CIE0f0QhHtqWbqU8PH8LDlDeHlfmpu7kg1VnY6EnbyvOMylTVTDwjWRg9Wz1SafalMpbIl/9leKq0DFMkjbKtQa4g+0tIGnnTKnHGnSEF4Ozd04y3a7C+aoXRnbcTh86izXrxtN7DsZzIzlRxRxn6vVmMwpFIqKwFnLYe1MnULKxPFF2BvAYLlOd8MnPh2S/lbn6zohDgNVs6O0qMuhdnEhn6JiCSuKNXJ1p+MdjxPTRdb3XnkZs5RSXwa+HPj6Y41PVBmUUjbwC41P8Nhnca2vy4GPAg/jGijfLSI3Av8b+GKnF0xMXEXkBsC/f54BPq6UWtXhvW/FlV34GxF5HfAc8E5cyYbP+co9CfwYcB0wp5Q6FTiWTLcqIc5PzSR2E/Dj7nvu5SV339P2D9x2FGaEj+tSBWjlUmZTfmsddPfRkdb+W+7VrlAHb982P9AWHUWug+AsP4GIn1CSXd8/Gb55OMu3pqs8OFujrKCrQa6jJiMPdeVOAlbgHQcJoQ6rU90Jsimp+TzvuvODGLKFs0rIplPzej9hFscg4fTqm1VCORD8pCOlcVv0Ue1P4ioQxI9vSfPKmsWQJS3P2w9/nwPo6lbIZGjxSCyGvOrebzFlMFSqkasrJrIW57tSrJqrzb/hBQt7NN32tHsvNzhA3RBqplC2DIopg65q9OLYI69+6SJdAoywZCIe2nlPSV0y2oVOBeHE+XEGurvoa2RejCOvSUmr7veVazTq2bTDhZRioFTHUgv9ygz0mTDCGoVKw7/cf/+wsSBKQWApSKstUEgbbJiqtLVVrCP/Ry6WGVqC4OEXEA+l1K+JyFca/75fRG7CTYzwsegzw5FoPhGR/wH8R9ygam8cWAH8Qac3xrW2vgL4CeDncE3VX8A1KbdINtAq5eA/tmQoDK5lZDg8DVyU5ls7pNUbsNQlsrj2Z1Mcnbh0EchJgrPCyE4SC0jYEBy3nWeJ8Or+DG95VTxR9eCRo7JSZNp4V0EiFEdewySSwqwKgvDGWhefzxbYXE+RawznK0dgy2D0c/DIZgahjKIH/bNbiuCzuihSSbWffBhJKKfmJ6+LtU7Gad9Gwf9+a4ZL6rJ19/kNlOuc6UkznTHpr7iWryvZVcAWONWbwVCKlK3I2A4rCjUyCXwnz9TmqJFpsj4n0WP2l20Hy0VcPfgJ52PPjrFl/eqm40ksr+1YWsF9BoIwUjMoGYrRmQqpBjE1G4F/SXZRgnKDwWebtiwygW2cdi3fSxWEVTENMnVnSfwbz1RtXtaX7jgBzgtoD0qp+33/3gfsW8z1khpC3oYrl9AP/Gel1E+IyHuA7GJuDuxXSn2i8e//JSK/g0toWyQbaJVy8B9rgYi8A3gHwOqhgcQVOn/xIiMJFQU6QdC3yXGcWFWBuBSrSTCUyzBRWiqXlXiUHMhrmhW3HdgOgsNn0usmsa7qUE7oJuBHO+RVl3Uoaitsh9EFCjbVU3wvVeHltRyDK1TiBdSWbYrMYaGi07htE1FWV7+Ie9JrJYHuPS4nQQmTUtKhmDLJ15z5PirAykKN0z1pcnWHjK3mXQXicDm6CkxmLbqqNsOl9sP7FO4C7XytgLDQx5dSS7gFEp6cIgmS9snD47Ns6GsNgm0naj0unW2TjFfNHZDO+KypSS35SXBUVRmR5G5zwfotpVxbKWXMLwSTIGquOVNzWJNu3wWuXdwyOsStCVPK1o8k5yn/2pF0Gu7BdfQ9DLyo8d2H0fhKtIFj+BaF4s62Bq6/aotkQ6P8gIgMao61QCn1EaXUbUqp2wZ6k/vBjF242JGrQBSiHPJtlUxVYLHO40P5dKyrwFLAy7RSclqj7+flVUJSALaDTofkTknr4O3bqDiKbMi7iprYgpNxeDaw5uCsWNLawF21DIfNGuMb3PfbzpPN4roKLMViIuwaYYkF2rlGHLz3qoANGzu6RFsII1jeOyumDLoCwZApRzFYqjOes9zUtEolsrhebqoCNUOYS5sMlDvTpPCIuNdyXSpbHaKOefJK+jTIbrRSsrQwi8OR8Tk2DfW0NV6HKQgkRbDN7SS3iENdFOedmjbFcBDB40utMVy2mhUrkvi3BtOAH9wvPL4fZmuKC4eMJdXhfgEgIl8VkRMi8qCIPND4PCgiSxr9lpS4PoRLVC0gJSKvwg2KWsxw+hVgtYi8XURywC/iRrt9DHiniKwRkc3Au4FPKqUKwJeA32lINvwMLqHes4g6tGDswsVIVwGIljdpJ3oUXItrUhnXxZDXwVya8VIVZ4l85aL8bisNmSm/b+JyDxBLqacahsz1V5PucJ9KR16DA69/wgkblHcYXS3XymPwaxvy/ONkhV0z1baI68o+YXDt0k3puvdQl+gUlFHntg0VT9yXqq+EkVeHxiRba32uPVVXrqiYMjCdZATjMuKsAEzkLPoq9baTd3hwNEQ8SHL8BCiOMCWBsPzEtVK3OTNbYmO/2y+WIlK9E99e00m2IPIQRTDr0pqkxU9iwwjtUpPWdhQrgggaSmbEoVctaL4uhSHlUkFEXiMiRxqSoJ8RkZ6kZcTFH4nItIicEZGf952zUUQeEpGSiOwRkS3B6ybEDwAzwCuVUvc2PvcopZYmk1IDSXfwfgJ4Dw1XAeCvAROXbHYEpdSkiLwa+HPgj3Cjzt6klHpORD4G7MeN6/g9pdS3G6e9C/g4MIErpvumRqTckqBv+92U/+Fb5PPJ0r360amQdHcuy1xJbwmNSn3YLjKWSdYymavW6c20t/UThrDMKSZgK9d/19u2jiMLSYKA/INLtuGb2Zfg2u0irF1daYtKKlx9TVcPf509ohN0HfCgUJzAZmWqlRDFbaGuSpv8p9E8v32yQHdI0IHf2uxZdvotYTqhpqPOWq2zEAWDu5JsWrb7DnV1Gbx9G3JmNwrYGuK64A9SW67JqmpKaHS9AH2VOrONbcq8htz64T2Vy2VaVbjW5OFiLbZsGBwRjCUMNktCkhbz/JL2zVLdJmuZpMyFNx8XXBtlbU1CWpc7c1rSRacfy1En2xBMJ1yxoq1rxSREuVzR0GX9FK7r5v24AU7vwzXuJSnzNuCVuDvVg8AuEdmjlNqLazC8H1ey6uca17i53ToqpRwR+XdKqWXd3k1EXJVSF3GJK7hb9muX4uZKqe/TnGrM+/59uA87+P0Y8OqluHdEnZbz8kykehmszdC3/W6m9z7EcG8PF6ZnE58fFtGfBAO5NBOl6pIR1zCkDMEQqCrIJBwfkkwO/jKjZw36Vtts6VpeKWL/816Rz3CxWKH/tlua3DuitveCUfygJ7DgbmlmFFQMsJzmskmwOm3yQ4MZbsy3/qyDRM8LaBq0DE77Use260oRjOoPYss2xcA5GOlWbOleftuhwYJlzf/swwLPloO81huTbBjyNYeL+RSiXL/XKAS31Z9v1AzBclTH1lZwLa5G4PwkbjFLLVeWBMF+4/99BAnpxQe/jhWwdHaqCLMYFYWldC2pSXI3H1g+Iu1XoYhCEj9ph+dfwL5DvBF4TCn1BQAR+T3gPnzENabMfwB+Xyl1GjgtIp8C3iwi48B2XCtpRUT+EPgNEbleKXWo3UoqpZ7qvInJEPn+GqnAdovIjIjsEpFNy12h5wte1Kc7UUT/UMNUBeKgO29FXw8X2yCu0PlgOJhNRwZoLWZrK1invCGUIibvTn1N58+3hMk2HPU9xPmQRT3bjGXSlbaYDDzDwdu3tXyC2LKt1Y9Ut+2fddxgKd2xJHj9QIbBQIrHsGc9ePs2hixhvK5C650EceemRaheIjmn7EAvduBesdm2lhj1BrkLg6kgW3fF4uMmUB3Jez5RNYVUQgt9GJJYXHV9f9kCtxIiirQC5LfeRiaXjyyzlAgjiUtp0a5DYuvkclp/22lTHMl3uHwWgm3iJmCv7+8DwIiIdCcsEzzmyYm+CDjoWUmVUg7ujvaSSo0uJeLGzY8ADwAvxk3/9VfLXqPnGf7t7aTo1E2gb/vdDPf1cHFmtm1LbyeD4mAu3UK6lgODt28jbwhF3+StI3ZJCF/oPSyD8Q78naIQ9kz936/synK+EL8LEtamKAK7w+hivUqxyly6ZHBxz3TjzZuZjnB/WIp7ZRrW96VCFIEwRdr2ZVxq8uq5CkRhuFhjMEFE/uWm4VozZV52qVOoABkPWlujCOqlJK9tZ4izHUzDoP+WexdFWhfrIrCUKhSduAosB2zDlY/zo1OifAVbXJskQRtEs06zJGhUmaCk6LJLjYrIby/2GjrEuQrcCuxUStVE5L8D55ajEs8XvO16v8aeUgo6yBLSDjx3AYBsOkU2lUJdcxP9fX3zZdqRT0mKgQTEdTEJD/zb6h5x7WTrGeIto4OWwakO/ewmHt7fsXVxZVeG84UyL37N61uOhVmsdW3SuRAA9ChhRi5F/LOLFfkMFwrlpgVbO+8/2Gad60DKEGqLJDs6ePX09ztDhE4MgkvpNlAzDXor0X0zlfAVX24W15phkF3EgnF1qpsxy0GJYnUq03J8scQ0zOWgnUeoI6y6xVJQm7X2T3/fUZZBCB/vOgl6WipXAYWilpC4Lrevrd2mFTnKZUBx6Yjrrvu+wP/3X385UdlSqQRwm4g84vv6I0qpjzT+3SQJ2kh3b9EsCRpVJigp2pHUaJt4JfDeJbhOE+KIq6mUqgEopYoi8ryliF1qeINOizD0MvHWMPeCvu13s3Lkk1y4OM6Aj7h6pHopMZBLcXqmFFuuHfLqPb9gXfsGezGuCU+qFhYA5UEXSNR03BImOnAV8F+zHfLqkaPrt97A6UIxtIwOXvuiCKyH2VmDxwo1tqzSt61TchWs2/wCI2UiCMWazZo7X97RdXXkFRbamV5ii2tUPUxDyF+9Ds4/P2tshXK305eIqF9uGq41U+ittE9c/YRSF6muQ9jiTnft2Kx0JHuOcVbWqHExd+02LPO+BHfpDEnJ4VK5Cti4z8y4DHqgLhNYx9dahJ5vu3jja1/F+3/jVxOVve/r3+Tt7/6VR5RSPxxS5BCuD6uHLcARpVQpSRkROYQrNXqkccyTE30a2CIiRiO4ygA2s8gkAcuJK9Ri3j76tt8dTlYDaKdTd+om4MfIimHGLl5s+T6unu1aRgdz0T6ufiTxd42qX1fKpFBt3QrVbaN534W1R0cwByyDiUW6CkRZdXVt67/lXrZtXMe+Z0+2dZ9g26LcItZmDI6W7VDZMs/VQOdyEIR3D91z9b4TEVZ0ZSivvyFRW3QIe3fe/S+lj6spgq3at/QvFSoNC+ligpf8JG+pI/AXA4UbnLVYUm6jt5iEWciCff1S+7rq+pJufKjV62R6+lq+bwdRaVOTYqkWO0ndBJbb2gp6V4E4hD2/K9hV4AvAPSJyT0M94P3AJ9so8wngV0RkUER2AD8OfFYp9QyuRv8vN6RJfws40AjiWiyWZYUQa3EVkX/yVSDt+xsApdTrlqNiSwkzvzARxJFBFbOp1GlgFsCuZ88CsPPq0SZ3gRVDQ1y4OK49J8yi2QkGc2kmy8l9XHW5uIP1CkM+bVH0CbAnJdlhqglBK96AJUzXFX233ojZiORdqvR9UW3bvG6UExfGKZQrrH7xKyKvE3xnwexnOgvs6rRJtykcLttcn4vf4FjMFrf3rEdHRxmbmuGa1SNA/LsFfX8Ms772HTrNuefOJHYDiUIcGTd3H6HeIFZh9wtTQlgKd4GioUjbi3f18KyIl1PyAU9ztl3XheD2fV0U6UDAT5CMduJ3nESQPgqd+jp7Y3mtVieVspZlt6wdcrhUfaYuYMVc51KQVvAWcEvjQhX0sb5SoJQaF5GfxJWuWgF8FviAiLwV+G2l1LVhZRqX+CiwDVcvfwp4t1LKs76+FVdq9H240qQ/sUTV/qf4Iu0jbmZ8W+DvT9MsLXgFvv5odBKctViMrBhm7EKrxdWPsMGwHXmsJD6uOiRxHfDq59WnO23NW1yD5+qIkb9tUW3ySMfKO26i58z3mSxXGc5n5o9BZ8QojJwHn3nasti8dpRjVh+rW85oPd9DsH3QSmA97Ow+xd7ZEtdTTlT3qAk37r3133IvK499hfNTM4kIq4ewBZXu3WVMA1mxkPAuzg1kMcinTYq1Zku/v1/4AwOXI0950WDRUfceVqe6eVqKl8FGrQvPBWKx9bGlM7m35dTeDUOUb6vfiDGR6qVu10lZ1nyZxZDXxWSgWiorfU0UqctE7zSpHFYSXMGqAiilvgx8OfD1xxqfqDI0NO9/AU3GU6XUYWDHklbWve4H4ku1j0jiqpT6GwAReTGug+0G3zkecf2Y/uwX4CFopd317Nl5qytA35qr2LP7e03ldC4IiyWvPekUszUntnwU2fGTm2B9/eR1TflRDp08ExrIEHVd7xoewnwoR7qznJ0tzRNX//EkpCRovdPVUffdHXcd48F9h7j+rmQ+od6z8eC9w7A23rVumF/9+j5+4YfvaLnWUrXLX4/rtt/GsROnmu8TsbPg75s6Ahsk5lnLpFLX5wlJmtQgTEkg+JtYuXETlao+MEqnZRu8Z7vkyK8xWhXFecthbS3NylS2qVxS8hG0GnZZWSrO8iuBJEHZMtq2Jnvt8RPUM1LAUk6ka0AcdhhdoYk8wqC7alwgFkQTVj/GqoKZX0hkFPzdLUfAbRC2tB/Q5392/ney16xwcXl15BNB4QY8mk7zgjRpSuwgyigyAer6fGgEv4DOkTTY6m9xMyn8N1wXpX+xME0T21m6qO6wQc4jrwC337GD//Wh/59qpUI6k9Ge55GFdixdQdQ23sRw79Mt5cOIqo7whLXH+36wcc7r1m3hr3/2P5Lechu5bDbyXA/BNkIriYUFQrRluJeDF2bYNtLfeq0YH0fdZDQRecYCbnzxS/kf7/9drn11mA99K7x3DcAdr2sif8E25mo1Sl95IjLwKQo6wqpbFHnHrx0Y4zP/+Dva9+N3b9Fdy7teFDEfTj9NbW5/C6HV1XnqsQdC2xgkrLp/9373UZ6dnqX/lte2nB/1+/BbZdvZMvZI7nVmls9nCrzIzmDU3Qm2afLMdGknx6oo5gzFgC1a3/opU7G6lqZKvHTWcsIWmM5YrJ5NRqJ1hNXDlOHwevIt33sISxixGJi0JqYIIk45wOv33m8iiOLUFP39/U1uYH6E/Ua8Pu9fsPmJeZLgMw9TWYvuarQ+cFL5sWNmndvrWTYb6VBi107dOkXJMrAcRdrnWx3Vv3Twv/NvHrIZdprVH55vjeAX0B6SEtcR4H3LncbrcoBpmti2npvrJvawQSoI3WDn/25wzTr+731fY9PNtzWV8QhD8D5hlq6wybn/lnt56qkjrBkeaPrOjyBRjSIynu5s0K3Cq6852sum67fy1Uef5N6X7dTWKYgocqWz6N2RW81n7t8TaZ2N88+dSPU22pR8xe1k+pmcmOQr+06S6RtKdM6u40fZuWFhsvYTwcHAc3cch5r9QZRSHUmT9W2/m+898hiPfeaL3PWSu1m/4aomShR8rydklgsT43zp0SfpGRhEh7DJ2r9zAM0k1ntnXdkMBV9a46g2JbX2B9vh9ZeRrTfz1OT3IvtNEP4+0667yZZtimNlm786V+SOYpab7PR85EeQIG0h32LNfcSqsDdVplsZ3FFLc4OdmiewNorvmzP0lQ1Sl4AgRGE6Y9FVs5vIQxBhZMKvDuCgmBaHftV+eEzw2QWtrmHYYXTxKDPYKLYE1kRJrav+MWLX8VZVkZ0b8jxx/DQrenrmz4uaF/w7Bf5xO8zin4Qg1vizV/oAACAASURBVAxhNm2ydqZ5mk5CVIN9teYoTj1b5wfsfMs5l9o6WUgbdDWy++n6WLuLnAuGzbW15c0e6aFweB/Thl6FJojicweXuTbPD0TkOfQbHnVgHPgG8P6AOkIkkhLXvwF+EfjDpBe+UmFFENcwhA1SWuLXGPT8JGbX8SLmNbey69sPcmpga/OxkIAuD8GtUh159Qbj0xcnm4hrVHuC9w/W//jX/46L+3czdOMORm59GbmhVezckG8m49du4cu7HsBef33sPT34ifr8dWp6/8uXXHcL7/vUl6nW66QbvmVJiKpnWfUmI69NZ/d8nfN7H+Cq1/wYfRu3RtazvnIbj313P3JtMlLuwj+ANb9XD4O1GQzDIGWlyN24g0y6/eQAE6lePvu1XTx3dozPfu7zDK4a5U2/+CtNWX38+PbJMrl1m/nKdx5neNudie/jf9/B9+Z/Z6u6V1H8xu62fGjDEGfxl4ERZmYXMtEl2a7VWfSTqhIopXjPlx7h3w9nubU7hX981mZQo5kQP3bB5kdSGdZnTP72Qhknb7PtbBZBOGvYDDgmdxvd7HEKl8S6pYMDzGRM1misre0QiS3bFOdrDl3HhFSMl2FSq2tS8moq12rsIQlhDY4PALuPtCbgvXOTcssUCozlFuQww/qqf1Hu749RVtckmMhZ9FXqWCqarCZxj7j/24+xPmeSLbW+p2AK3uXslwoopkxW+4KKvfv725HU5UgpxQXDZoVzheoKXJn4K+BlwO/i5gK4DvhlYA8uaX0P8BfATyW9YCRxFZGDuH3HBDaJyG82bjzfY5RS0TP8FYYoi2s7iCKtwX8DDG29jZO7/h6nXmXX8ebzPILgJzlB62sYefVPymfGJ1m3Qm9R69t+t3YrLGzQVvv3wrY3c3bqFGc/+rtw18/BvTc2XbPQv4mnv/oVchoLhb9tfgSJclibAbq78mxcv45T2WG2b7uxVUs2gdXEa1P+QIHSM7sx8tfx1Of/D6y6Ae74aV58nVfGRf6Ae37G2Uz94KNky61+qGHYjd/S4T2T1vYCpNIZKpVKC3GNc7fw2njo6HO87iffwUEZ4bn7Ps5fvv+9XP/jv0wq1+oXtvuIoPJbmNx3iGeyL07UlvnJeh7hBLY7n6dQCl9Mt6vUYds2X3nyKPnuBX9C7749Pb1MzBVjXW38CFN/gHhZuJMzJSxDeNXOW1qOhSkf+K85ff9TvPjaVdy2ZpA1u/fxoXNFJlcUeUVfmtlinXUX3C1Nj8R4hORSEtjZjEm27rTIYK1OdbeQiCjCP/HwfsaqNmu7DBLGHSZCEoJnAldtdoWiwpQpgqS1eYxwf/vBpV/xxi52HxHu3KQ4OjbN9htWNLmB6eA3QASDWiG51dVPTmcNxSnL5qZqGjO1cG5Skufh1EyR+w6f5TsTNd7cn2LLmnAt3XaJdScoW4LpKFKOaulvUS5FwcWnR2Iv1l1Fi/yVKoh1ZeKdwA1KqanG34dE5Lu4klu/KiL7cbVkfyrpBeMsrj/fUTWvYJimoSWucZOrfzDyl3Uch1/6L79CKpMh/9J/j5VdGPr8hAgGUL3r2fPAAWTdrfPfegTBT1799whbvesmzVMXJ7hzS2v6Yf9k7h+wg3X0SJtTuUi5VCQ3eyNi3YS9djPlB/+S75X/PbLxrvnyuf2DVEplvvf4ONI13HTPOze5A6Ju260Zesukh60338qj+w6wfduN2kxoC5YTHQl321Q/8SVqThWneBwrdTX5jb9J6ZnfRz33HXbL3fPtBqif+BIAyqlizz5F7fg/IOKSi9JMYMXhPYfeDQCkT4C13tWGXiCxC3XyWzAzmTRjKkM9wl1Dh13Hi65V4dxZDlT7sLIGG3/wrRz/2qc5+PE/4Iaf/nXMVKblvdqlDVROfJ18PnoiKt7o1tt/frCPQjOBrfTUKJTKkb+hqDb5MTc1yRc/+iHOPvsMr/vpn2frHXc1nT85VebCxFSkJTiIKDIb56qx6zuPcOvWzR1JxgFc+OZBrr3jbvpH3N/H++o2f3fgJH/33FlOVhzevT7PlrxLZPyWrktlfVXAdMZkRSBLnUciggQiyh1j8PZtnPv6I4ykkpGGpVQQMBHqvkh7nb+0f4G763iR3UdknqzWT3xJ62WcZ+H3PFgukM13zV8D3P7n79s61y//2B1ndQ0LSLpoOdxqZ7jLyLYcCy4qdO/o09/ezVcf2cdsqcwP3P4i/vSGdQzk0k1BixD+TparPxZSJl01u6nd/j4Xl6bbr9wy8fB+TlZsru42l3ThdLlARF4D/BmwGrgP+Bml1GzScuL6/f0h8DO4Fp73KqU+3DjnvcCvsmC0PKWUaiUTetSBdbgSXB4GWdi6SAFtRaDGqQrc387F/iXANEzqIRHQSRCcnD/40b9mbmqSVVddzb6//G02vemdPFm8Zv64nxTVUjdTPbEHfMTVW83ryKt3v6RJEM6MT7FmSO8q4Cd43n2D9fNIm105gUg39sl/nD+Wu/pdlL7/x2QnRjEyK6mf+BI2YNh5rEf3khpcILSelQIWCGzwvn5iqyNEHm66+Wb+4XOf5e0/7v4dRVqDlpP6iS8x65FNNY2QpTx7itypr5BZ95OUH/4Q2akN1M8tLAj85FTIUJ45CLJg+dPBf06u8Qz9E57XXr8biW2Y3H/kFAPTrRHyUWR/9xFBlaZBUjxy0iPHgtr4Y3D2L/n+p/8WufPtLe9VKYWyCzi1KZyzeiujtf6NTedBs8XJX3//+8rl8xSLrXUOc0MJw9zpZzn06T9l5NaXsfkl/5Z//ru/YPdjB9jw6rfwiqvd3122q4tSYWECDZKGMEtsEDofWR0RffJL97Pz5a8KPV9L1hvBebZtMzb1QTbv/AGymQVljLdaD/DWm6/CdhTTjx4A9Fa4S0FeiykDU0HWl6UuSFqTqFd4VrDxvn5WzUwvubRVnPXPBOqq2doYFnjlJ63emBe6KD3xpfnF6PhEkcNzFv5UHi19PGQcg3Bf1ySWTcc0WFdrns7DCGvwPT359GG++PB+/udv/To3bL6O2Se+C6ANGgsS2OW0uiqgkDYZna2CSVt9DpqDXr3nerJqsy79L8/a2kg28ClcCdP7gY/garK+u41yb8NN0boVl1juEpE9Sqm9wLXA65VSX++ger8GfEtEPg+cwNWXfTPwxyKyFvgerqtAYvyLSeG6VDBNg7rdWQRvcJI6e+YMD3358/zUb/4uj5d62bDiOg787Z/AK3+DrhOtZMfq20710BfJ7ZtEDHeLOEgMoshrlHZgrW5zcXqWVYPNmV2CP3z/oO0hOHiLcxIlvdQbf+d6N+CcfwQztZrKsx8m1XXzwkCvgLFvInMLOrUeafMT2CCav28lRB7KvSMcOvgUY+QYoTT/PICW7T6vTbrJSNQcSrrnv88BZmqU8jN/jG2v0OYBVtLdOC+auPrh3dOb8Lw6Bd0IqqSo15pJa5gl3I/8gQJ24TgV8uT2z8xbg/l/7L15nFxVmf//fm5V9b6lQ/alk5CQBEIggRiURaKIiooibvxQXHBhXEbHcUVFBx3UUdQZZUZRXEdw48ui4AYEMAMJgUDSIQESmux7Or1WL7Wc3x/3nqpzb91761Z3J50m9Xm9+pXUXc9zz/Y5z3kWQNW9lb6t/0Hi4ftI9xx03SciWFYtqe2/IVYxtWCirm5oyX03Db/ym+0U7DpQSpFKpbh/yy6smNub10tWvZpc87d65D6YcS67p72ZGdMUiz/wFbbe9ROe/tkN9L3hvdROmkG6v5+Bvj4e2NaDnbkQV1m8hKFY2K+wiTGbzfLE+lY+/ZEP0XiSe0fB6/RnfhONxY0JYvE4B1QVdYl6mj3bxjFL/KMdtB79LVqNnooY9QOZnGrEj7QWCxPVdMbLuPX/3cXjGw+xcU87n5lY6XtdFPjZZ0YhUbXV5DSuQWX2I61BhFWjr2s71Tvupjp1IcmufcRr6nzr2u9YVK1rmGzLrVpSKFZbXVy40KLCEwcriOSZcv/iznu57G3vYNril2D5zCN+5TkWMXUHYnY82lkxf4//Yu2u2Vh8yvyz2bO/k6d2buL144be/o5jXAqsU0rdCSAi38DWpn6ihOveCfyHkzFrt4jchk0wnwRmA1uHUjCl1K0ishZ4K7bmNQl8QCl1j4g0AVeWqiQtE1cDSinWP72ZN7zarUEZSraslW172bnlWZonTeGpPvv+LfFlcHoP8vfvoeZ+GolV5chAfOalEKsDlbH/HNRs7M1tzw4HyYEBqioSxD3EYWjIYjadPEkVRB0g3dkGOcKkyKT6OVo+nFU1tVRVVdPV1Uli/Em+GjQvEfeHj0wqhqhOkAagcAtOVAZblzM0pA1tjR8e29PH66bZ/49CWjWs6hmQHmBw638Tq2zJHY/PvJSqlvfTt+WbVNS9FInVuMl7tot0ugr6C7W8fcYiJUr5zYlaRIglEqTTKSqG0/7GzYSuPYD+BnUsf/vHOPDEQ2z6xTfJZtIIMOmsC3OkVZcF/J3JwlDM6fLQoUNILEZ8yhwwros6XqzvGGTu0pfwlW9+i29/7Xr7fQZ51QgLl3S0HWP64hbjHTOBMNLqhf7OF8ycwLXfuYmDu3fytkvfyMckSfz5JwG3o5pJgqKmMgY3odfmFCbB0+YVcRFqF5zs+q5+pBWIMFY4UH1AP+n+DAPPrCQx4UJae2bxUvx3D7w24V77ff0tg2xdg2Q7bGWYUmlRYeWvDbU19rTPw4cPc/Gck3Pn/MriF21Dl+9otcX+uEV1yg5iVupiyZTlprvv4y+Pb2B6XQVn1SU4ozZO3NPGjnVii6OAxdgEU2MjMElE6pRSPVGu8zn3NLYGFmzi+iMRORvYAnxMKfVYlIKJyMeUUt/HTj+rj50qIn9XSr0KW/NbEk5Y4uoXSmfj5mdJKZh55jm0DyN7lh60N/ZUcehwOzPJk43agZcwULuFgV23Epe8lia9425UdgCsCiRW7ffYgndEmXw1YpZFtoRsKslFtSEDuIVvOF+JgaoBegBbsyuqFyWNtmbCIT1pQ9s4EqS8WFWdM0+xmjB5wFcmEVCNiOpCiYe4KgV0omTGEEpcCPNbrN4iVKQHsRKJUI1kEMSqJFYxhWymx0Wr9SIpVtnCQPeTKGt6/qRKASkIia8J/gTWLL/eHQA3ebWsGFlP8Hq/yd1rOuLSujbPgl1PuM6v2RqDxleg3nghZAYgk2J/ZT0HPJpbb3nCbGqLOdZoHDywn4mTJhcc931mS+F3FRGWXvgq/vCzW1zOl2Z4NL84xgtpPaqEQSNlCZYqnvbTCzNk3r9c+wX6e3v4rxu/x9SYbcbW2Vjvcp4pFjs3KAKACa9G2sTC0xV/6aol4ziXeW36TazeIkV6gAOVRtROoJ50/wAVtYupmPxG0mKxekvwbWb79vosmIskvVCJotnskCwTDbvhYvFoTaxs20t73wDr9x1BuxeaZfE6E45E2uao6EtYNAyUbrZnLk53pxP87alN/PxTH2R8Q11OFj8N8nGCs0XkceP3zUqpmyPc14CdyhUApdSAiKSd4z0Rr2sAOo1ru4EGEUkAO4HvAg8C7wb+JCKnGA5XYbhGRCYopa5zTBWux7aj/VmEe31xQhJX7ySjf//mrw/w6tdeMmIpXxP1jQz2dPLoczYH0sTJytQw2LUWq+4lWLG80bnKJpESNHh+A1+QuYDtdOYmDn6DmT3B2ttlmrzGZ17q2SY2w3m7oaTeIXqNDrlLAnYZTfIahuEQ2rAg4eFk3F8mJQ32BKW85gJJ+x4voY0I/S1MraUpdzY1iBUvPRQW2AR1sL8HUe2k0z5bnSqG0A+qF0R/526grvgqIKT8YbBiFspI7FHcKa8QNXuaSLbvydWh2UbEssCqhkThoi+ITAfBzwnSDwcOHGDipEmBz4iCTalx9B3aywPbejG1cH5xjP1sII+mjWF/3KIqbdeZ6dHtBz/znIGudrZsbOWT3/0fHt1zhBVzphSYX0QNPeYXAcCP1HvJniYkMUuonpuPeuK16Tdt4IECsxgvRB0GGlCWvXCxEuNJ77jbZQblh/w7Cm33zUWLSRa99q5eJKZkmeiEd4riKKeRk99Jc+5XFj87Uf2eqMR6KFDY7e+MgYqStK2uOm3bS/b5VhYvXMicl7+mwPzBxNEi4j3PracjuSfStb1tuwAeV0oFZrYRkWuxiZ8XvwKqjesqsPndEc91HSHXuc5hazGOKKVSwDLj+A9F5KPYKWL/WlQwOB+b6J7l3LMaOEspNeTAtaNqpSwinxaRXSLSIyIPisgCsfEdEekUkT0ico1x/WwRWSUifSKyRkQWlvrOoIno2WeeYfWjj/Da171+GBLlO87K7UnWbqtCSRxSSZd9pUiMWOVMBrs3urZqVTaJWDW+g2YUTVsYYmIFZgTz+ybnzFOcM08FDMAWQcQV6oEkqAFs180ESKFZgZbRSyQjb9N5EFWZnFxUG0C0ArTIVGKTWnc4J5ucl25CEhWpwRRWojQDC/e3C3HUFAslExG1P/fhRHXnbHyjIqguzba6cnuSlduTtsY1m8n9HhLi9UAWle52va9mY2/gn8bqLZIrV5QyRCGej27awkBFrU3WnL9SsHJ7ksd31ZG1Khns7rDL5TyjPdGQ+4M8gW1aekFu0jW1RFFSnpaK/rhQlc76enSHmQmA/b3XPZsknWjgH3tsn4GVbXt95SmWkMLUGuo/7299jfltTOckS4RMNusK+6dhtoVI449KAR0oyScf8esLYW1y9RZxh0f0aTsmuQrTCO4fdGtcoThpdYmjlGvBapbFrGNvXZnl04R6pNrhQExIZBTxgHi/YaTV7N+/vfMuXv6a1+WuCfouUeM2jzaUUjcopeLeP2AVYMajXAhs8Qnq/0zIdd5zpwLrnW3993uekyBi1h6lVDvwSuz1yHPAG4dDWmEUiauILMcOQns+MB47GO1/4/ZsezXwNRFZ4tz2S2x7iEnAH7C94yLBnAS8SKVS3PgfX+eaD3+UpqbiAfo1mlNdvjZw5oAkUk/1BrtDmU5BqQEBukCl6evaTl/XdlTGJq7mtcUQdbKMWRYZFS2VbTGNVChxlRhKJiFqu02Mom28Ae5JoyQCG0FL6N2C9kJJDPH7PiKO1tWoZ6VwdlGil9EH3skODLkzg6zdlnciMIlXGPIOJQkgHcLo64E4onaBGsReZIwc+fGWNaUsVu0obTvb2w5FBKtyMtmB/bljxdqJH4HVGCp51SS1q/0wDeNP8j3nhxVzpuQ0ua53N0xh3Xpj0vUQYT12mSTCJGhHK11lf9xihrOjEOUdury5bzyYhIoaF0nT5FXL4yWw3j/IE1STzPsRe5O86u+j/61qGu/acfKGyPPrW0GOWaIOAU0gCd/r0zvuDvwDd5v1LqL0dymFeB5IZ5mUsIZEvlZuT9LRn+Gp/QMFRNr8tl4Ca8JLqqcm6gr+SkVfwqI67R6P9WKpGGnV+EvrbvZue56XnXd+Tg79HL92NsZxJ3C+iJzvbMffANxa4nW/Bj4lIs0OP7sS+D221uZ7IvIaEakWkQ8DFUCojauIbBaRTSKyCXgCmA+cA7QZx4eE0TQVyGAzcF2GGNBOgGebiBwGlgAXOXYZNwJfEJEFSqlnhlOQ3/z6f5k4cRKvuKgwrM1QoR2C+hKNpHf/BSthr85zg6HEQTVga+gnAJAeOEiiembuGVG3YTXCzAUsS8hmFcrZFvI1EzBiDuZJQ9K2D+VS2Ph9AJRYiMqigniUNKGoQdR+X62k12RgpGxdNYKIg9dL3Y0wLXIDsA3URBALux/HQYa2le8Hs65VNgvZLFjxoWvaxQIVw7Zb9SmnCIrpiDqIqDag1pGtNHhNBoLqUiy3qUAxmKTVVW/pQdJ7/oqqtMe8QjMWN/zMMLymA2Hv9sJsW53th5h+yoJI5gd+0GPEQHoC1jPbWD35NN+oDJC3u/U6zWgst2pZkxi5xARpgawINVkKgr6HTfT293S88jvbSfdXUrWx14k6kSxIplIscoOGd2vfhP423m12MwxUrPUPVM1e4HbI8kkwAEWUBjnbdv8QlkE24BpmP1lNracdFvotmE55ftvyC09X3LzNrXGNEirKFa/bWNx6MzsGRT4wg/zr8oWZrZRqh90Xt5iTTvjGCi4GXZ8z9j9Cw/yzeWR3e85MJQhjnbwqpQ6LyLuxlXsTsAnn1wFE5CrgOqXU3LDrgB8Dp2PbwHYAn1BKbXGe8V7g+8BkYB12aKxisVePWh6AUdO4KqUeB+7GVh33Y2dXuBZ/z7a5wBnAZqXUgHN/Flu1HTUIbiBWPnA/73rPe0uybXUZ0od0CInVYJuIFEJJM6KOINkDoA4DvUi8KXIZSoGIEI9ZpIrEqDW1QsEI2lY3X1iBsmaABE/ovprGErFizhQsschmoxnxB2teYwTKJBVADaKeR7L7EbUHJdE18yVDZcCyRsDW2tG6BkEslDUJJTNQMmGY7wqHlaggMzhQ/MIiEKsalY2c0tqFqG2s2BauRn+yl2e6Y7l7wjS4YX1KKppRKTsRcdhCpSAG7VE0GRiMWdRnLSRgqzaMFOW+s0qDFW7uEiUCQ9EshJ6tbZOE6P/XTphCf/9AwfV+8arDkQXEZf7kh7AwWua4F1bfUchUSimSGcXscxa77gmqH79vWeqicqgopW0OxC3qM+5v483umNOy+mhbAXr376ShZf5wijymoJT6o1JqtlKqTin1XoMr/dJMFhByXUYp9RGlVL1SaoZS6lbjnt8rpeY5516ulHo6QnkeKvY3VFlHTeMqIq8ELgOWYodX+A9sVbWvZ5vPcfOc3/M/CHwQYNqUcCI2cdJEOjqiOMf5wzsY5BycqEUdSUDLOVR22Zlxq83YgFKJYhrQh6gBlMxwOWuNNBpraujsTTKhqTAIe4EMnowvYGsR7LILZk72oUJrw0wNnZ/jDfhrwTQZqKyqZHAgGinSXsOFE0u4TMqaDqrfsW2d6ITIGjm4NOtWHBBUZhCJRdPq+sedjBNKXDVk5LTdQZrzyoZmBrvaqZkwteRnmpN7rHkJ2YEDxKflv5ffrkRUUxs/mG0tjHBW19ayoC7NPp/7gmBqunS0C/VcI3R08VJnURXlOaVqvEpFVuzWE8VEwDt25JwgJQYqQ3KRrVnUcpUSDcUPObODEE23l/Q1NTTQ0RUtUUs47LSxYSjmgGq213NKqHM/DGahwiLSIjfIcdVKVJJNDURu98NBFM2rptBRyInfwlJ/0+c2wGkTqnLaVj+n5bDY52UcvxhN56w3Ab9SSj3pxBn7HHC2c67As41CjzfzXAGUUjcrpc5WSp09vjlcizl16jT27tk9BBF8SKvT4Ve01PD5i6qZP9HizYsrWHxZDYsvqyE+81L3wCa1ICehrKlUNy5wPasUMwEI1/wCNNbV0NFrD/rFOmu47azFcIhr2MCeXFTrIj9+GlKvVriysiqnTYkCf1ITZirgQKpQ1tElrclFtfYkVFFr2whGgJnhx40QLfIIQddlsbZa0Tiegc7DkZ8bqMGM1ZCuH8y1kyCiHJ95acn9B0ojENV1DSR7ulnRUhN6X1ESkKjipOr+3Pv9rg9ymNHwal2HaluooQTMWPbFwgV5U0UnF9UyMLuWTK3Kkdag3ZxisTj186FQq+a1Dw3CuKZGjnTYeo+jRcqqG1oik9ZSTKPCtskHlaJiiKQ1F6quooIFjflx1fw+UbfXRzKcVFYgoQRBIpmnBGFSbYxTJzYFklaNKKYqZRxfGE0bVyeeUA5p7Fn2KWzPNh0N71RgPfAssFBELKVUVuwI4/OBDcVelBH/EFO6E0+dNo3du3e7jsHQBzjzvtXVcc45qYolK+wAzxdvaaOGS92aVwrJnHfSDdriLqWM4wziOhTEZ2o7VyGWqCZRa5e5WHaZMEQZwItpAqqqqujvj7Z9XLOxN0AHGYG4jjBCJ7mKGs6Y0kvNhMbIdq6F9RBR43oU4G2vlY3NJRFXDVP25KJa1K5xsDXpen7xGL3REIW0mjsRNfUN9HUPT4t3zjxFe6aKA0/2BZLWIETRuprktRQbw4ZYFb2exWnJzj9WnIaqdMlyDQVmCDOvFq1xyXk07fwTW9u2jcCb3BrXKOH9NILG9FI00V4710EFFZ7hwUvEgqIo6AVXT1MN6UHbXFET1aEk3YFoWv9iWteMJSSU1vZHI8RDiVRyLAhr1zNttO/dV/xCoOdQ91EuzbGFiMwMONWvlDownGePpsb1T8A7RWSpiFQDXwH+AtyCj2ebUmortj3sJ53rvwRsdJy4SoZJUA/Hati4pS0wr/RQoCMOpDoOc/D+24k9di/NqS5XiCm9Qi9l8BsOGmtr6OjJd3BXXLuA6Ahe0lTd0EJFzSSkakJOqzWU8kfRhnnJT9DAXlVVxYBhKmBeZ5IRLYs/0T72xBUKta05JGrI9NsTQFhEhLDUlHakBFvjeizaWNgipLLxJAaHQFwLUFFLfaw3N+nq+o2yAAq7ZihbtTV19SR7wicbsy16tZIascpq6mUwt6XZnOoKbOteQuGn9Qra3i9FC5sRmObkuzO1aQVxUwNC6QGcNjOGymTyzlMh2rsoRCmInPhpXc2QWQDjGhvZ312c3BQ3MbFlq25ooX7Rx4o+T4+Rgf18mBjMKlfGLC+82cH8kKisYlZ9pUszGRQxxw9BC5rlVm3urxRkREgEev4WyhHkYDmprpraTB+dT66iY93DBQ6NJspa16OCZ7H9kJ71/O0VkX0icvFQHzxqGlel1D9E5PPA77C92x7CzqZwiADPNuAq7EC7XwXWAu8ayru9Db9pwiTaD/ivivw6u5mqzy+FpB4AOtY9TO8Lz/NMewXz991E87KHuf6ab3DxlrZQb+ihbHGaCNoWaapzE9eoMLVZ8ZmXQvcmUgfvyw3AZsSBYohKoIqFrzJRWVVFf9/QHHbyOLbE1fsdvJNZ07ga0v3hdVVcyxgHksdsYaRRsOBo2q9eGQAAIABJREFUqeGF3qncs+H/SnqOn6b5jHnV7N7U7yaE854fdpzjoaCmvp692573PVeKhnF5SxOrVqfdW5ovuST0nqB88mZiAg2vBqyYFnZqoo4dZEkUseXU0IRc14GOAd29K059zO5TmgT52dNrBKXY9cKs66BMVOAmI+OaGuk44mtV5ouwXSSxEsRnXmrb8lLaWK37+XBtWzVSShVoXDX8SKvLqc2xET55YjNWb0duzoLhETk/oqqP6bYYpnWtT1SRiRiYOywqSEU2Rd+2Z+l4oXDBXCaqRx9KKd8UoM5u+YewoxQMyXtuVBMQKKV+5oRoaFRKXaqU2l/Es+05pdRypVS1UuoCpdTQ96gNjJswie4jh9m/Y9uwn2WS1va1rXR3wppUBz9fn+T/frqR2GP3hgT2L0SolqjE7bem2uGZCmgMzKmntjnrSlIwFHLktWU1/zSibKPZpgL9kd4ZrFGxieux1IBreOv4nHmKWFUt6b5e1zE/BGlbASprpmLF4sPSjEdB2EJL11/j+AlIz/A0rufMU8Qqq1GD/TmNUHOqqySta1gZC44HtDl9vKa+gZ7OQqfOYjaqkCdfK1pqOH/eTPp7elyaoTCtqxfF7P/CNF9BGtisKOLK33axWJ54LdtLptdSZeXHRFObFwTzmWFZ8MLgV67mpiaOHGkv6Tl+qKybCjUNOYezUtpcmMPpUE0pBhUkiti4+sWsNcl/ZVUVHduey81ZYZrJY4G0wAxKS77ihf6ePS9spn1ta+5vtGU7mhCRV4vIFhHpFZHfiUj9UK4TkTkistlzbNjJnzSciFB3AdOLXRuEEzLlqxeJykpef/VHuO3Gr3HlZ77ChGnh31Ov7MMG1Pa1dj7xvbEBqgX2DPZwBz0s/NFNXH/LPVzH86y+5IpQrVnQ6rwg1p8xEYQZoU8e18gjm7aGyhZUDjMO5mmVFh3b4PoVJzvfIMmGmYV2uyZM0qS1FaZsfohq+9XY1MTg4b2h2hwIs28FnMA/umz1G3vpjqhFLhWmQ5MfaQWoqG9isMtfQxQej9aAxJGKuiFpxqPArFO/+jQn5qYJE0l2d/HSCfDowaG/8+VzxnHLQL+rna94ySWsnGdrPu14oeGIou0q1uZWzJlCb1cn+7a1kc1ksGKxksiH+Z0mWoMMJHtyxAGgaekqeMklgX3dlD9sMi5mbxik9RJsArG5VUIdb9xxn/OL4hUtNcxiCg+mB12aPLCJbxTNqu7Peqxd0VLDyu3JwDEjzCRh6uRJHNh/gHQ6TTxefNrLR1DJ/wYYuOCVVD78Tf71Iq1MSkZqc+DfN/wcoXTd6m9mpiP1xnENTr5dCO/307bHv/ndC7Tv3kb7C912fdMK3FB0QeRXPije5opBgD2kKPTFLg4tU3Oqi0znIbp37WSzk8hl4ekqNLXr5FPPHGKJRx9OMoHbsBM4PQTcjL0z/Ymo14lII3A58BEKQ2fo5E+XYGtLbwNK/mAiUoUdTerN2EmnhoQTkrj6TTAr5lzGuFQP21b9jQlvf1/uurDsOX4wB+k12V4kplBGG/j5+iTXP3Yv16+4hJUte1kZuiVeGEKmOdUFPgOzl7D6TWZN7d1s27GDjnUP5walzidXFWyb+E5G82py5ZnUN50fPyo0p7q4fEYtK+ZMsYn4liuo9/Fw93rSDhJ9qyyKfdzMcfUcPByuTdFhsOIBBLuqYRaDnc9y+puqEVEwr4YNfGzEyWt1Q0vB9/CbiKuaTqKpb19usgm6Tj/TO8nGZ15K74xOePg/c2GWVlNL/QjJVEwOb71alsXE6S3s37mNFfPt0HBBNos6QYCfycHLpjVzkxNBQrfxliXnuRZRxRBV0xXU5vTi6PVnLuCuSZOYnulh/rwFvteCvye3xuUzaml76B8M9vflFrsAzesepgn3lmbnk6ty8QDN/q0nY31vVOIQ5iATV8KgBI9NfgkBvN+1q20Tg73dLkKuyx7VS7zZid3pJa9+7wxDVWUlkyaMZ8/u3cxsaTHuLbTj1/BbbC+deIgt/8jmo8fMgZUt4TaXYaH8vG2sFNIKsKtNGGywCZmfrWmxOmpOdZHZt53uPQfZvLfabjuttSykNfCZGn5li9L2ijkJ9qT6yVZWhl6Tk8Hzbc3QV5kjB8k6TXhNtpc16+3dB5uY++DKj0Z653GKS4F1Sqk7AUTkG8A9eIhrkevGAy8D9gEn6xscJ6uRSv5Uh02anwM+XuK9OZyQxDUIr3vDG3nPle/g6g9+iPFOKsdcisYI21XNqS46wTUBicKVYWpPqoe2H93EHODyJecV1dLkBja93RZybbFtkKn11ezt7iOrVOTJw29g2NO6i1RPJ9tvuQGwtypNIr56yxWue/JEtZCsRpY/BBPGN/Ps822566M4evhNSvLb+/niuTOorKy06/sy2MDHQrfjoyCqttn8Lls7p/P4fa2548W8Zn0n2Un9PPd/+fiMK1rsFCn1RWTSz/I77w1/Vcxmz+w/k1tms29bGy0OcfVDEInQmpRxg52k0inan3iIjsc3ArZ2sjnXl4r3U782F9bOvIs70/N68ZlL2LD+KeYvWODb9sxtWj/S0PnkKpJPr2FwMMXm1pr8xP/TjZyLm+T5kVWNIOKgSYI2CYgaWSCmcBFXTWCCUm6acoH9jQ489xQDyaRrPAwkDR6YC2s/8hr2Xg1NAnXdtUyfRse2Zzhz6riiO2bgbuN6DFvWVE8byvWey2fUur7JijnhspnKhyCFQzHCmiujEtI+6wtzYeEX71a3v+233MDgrn0cPGS3nT2pHtYkgFZHi9y60XWfV/vu1+6Gm73NUpAS+5kLA1KGh8mklUfpQ0fYfSjOVkcuICdb1HY4huBN3LQRmCQidU640SjXtQHvF5ELgR8a1xQkfxIRnfypJOKqlDoEDDtFaZm4GmhoaGDFK1/F3XfcwXvf/4EhPcPUtu5J9WDF4mQ9487P1yd5z49sZ61i5LGT4oQ0KmoScWoSMQ4nB5lQG21FC+5JofOxezlw3730HThA+1qbTLWvbXURca8GIux5ftrjIPhphwEmnDSeg4fc9pNhE5PXJlPbq22oqqK29xBq/Xou1++5DDbcYWtphwKvN7HOkVdM49w4fiIdB/MRQ/zIa5hm+5x5ipdOGMczqUEun2FPQu2JBrhoL1+HXEi2sPKGnS+mZfWSwxVzpjCwbAlPPfFEqEwaZlpWc/uv86n/I2FZ7H+slUpL7InzRzcx50O2ds5LIvwQZTHkJRTe8Er6OS9bdAr33PcAzW++xPVsv9SiObmdb6Mn2O6nNpPK5McMcCbYn24M3N70IzOaPPgRh1LIxJ5UD4l4DYOeUETmWFWgyfMQx84nV5HctJbUwCCbW6vyxMYgREEmCM3LTs+NeU1LL8iRV/M9QU6xGmZ96f+Pa2yksyt6yCGzjes2aB3exU/7+1w7a01LL3DFdfQbo1zlcf4NGte9GnQT3oXJ/FgVvRFCWGuiZ9bT9ltuoH1tKwd3C/usFN0p28F1T8o2a/Ozf9ZaS78yjVS6YUspkmSAGJtbhXOXhcsEhaS1fW0rXe3CHjWASuX7nybmfnK8dkRK78b2NiEWj+bkuMueHM4WkceNwzcrpW6OcHsDtkM7AI5mNO0c7xnCdd5nR07+dCxQJq4O9KD33je+hvd+4lNc8c53UVVVlTvvJULenM6QH5zMAUdwmwqA3Xl+vh6Wt25kYYjNjRfmc4cS8Ll52elMa6hmd3cfE2orI2ldXaRVT7SbttLXbxNwcAYAg4hf7nHeKCAKEbTHQfAjEBPGjy9qKuBnS5zP6FPNijlTePt3FM//4kaaqyvoWPcwl199rcsMIug5fjDNIjSikjyAvilN/OLIYS6cPZkHX9iXu0e3uyB73eSiWj5/kS1PfV873+vro2PdPxCRvFbSIK9B5SbCeT/yHaZBnzdvPr//zW18zuhLfuTVtKd2kVan/SWUYlAp2lqt3Nam2f5iFPcajpotxyQXphZQ46zFp/O1736fTCZDLOYfL1rDnGibU11sdybYrU8L6Wr3xF+g+TIQth07UuQhrmB3keQVflovkzisa1UMVLsJuYsQ+cjmR9Q1edW2sVr7aiKKnX9lXxcHnmmF11ycc35bud0/KkR85qU5LavZBvc8vZZ0atBl/qD/1VrpqIqGMHtLL2kNqvMN2T7SqJxtqnc891sY6r6kNeHbrQF6s+kCS92gtrQmEe26ocJSuJQ97WsL5TLhXQhquQ7EUwxmB2n0XO9aHB5/eFwpdVnQSRG5Frje59SvMIyCRaQCm995HSU6Il4XeI+DwORPxwInPHH1kqqZ06dx+sIFPHH/vbzh4ouK58n2DN72YJTvdZaCQZ/5TK9q16wfYnYbn0FfI4jUtq9tpbm/j73dfZw52T+bmN/2krk639wqPKj6OVKVZk/KpmVaDk3ETQIBhUs1KE2LHDRo5Saonl66evKDp9epQ9u3mjDTUF4+o5bOx+6lkgx71m1i87Nx5xveQMvV19r2ky1ODM55UcPX+GT8KsFEorraHif6+/sLFk2mPH1d23P2pjmZNNFrXU1lPM7uNSupq4jTse5hWhwyzkV5+2ozjJFZ7iCnk2JmARpm32pPNNAyaxb79u5lcGDAVyO+eov4LgxM0gpQY8GGzbDFs7Vpbv9FNYUppR2aGjaN2LaN1FXEeeb+e5g+oRnIk2a/MFGmPLo/rc32AIos7jAvfpqvkSYJQbCUkBW32482EwiKR2uS8c2twvpsL/0odqd6XEt3XxKrYYxrJon1ktcghC1IqisTJAcGA3duTPiND9vXPUwmq0hnsjz001biSI5QLrdqc9vqfuNvzlTCOWf/DtfERbEXFdwkr2PdwzQuOc9VR+buBdjfqO1HN7G51S5/Z7afTGX4osvE0W6DllJkRez3VObbQyltb022l75MirCAC8eqL40klFI3ADd4j4vI1eDSNCwEtiilvHEin4l4nYkhJ386WjihiWvQAHjxhRdwz98f4A0XX1RwLmgw0B3Hi4pMlp6K4KXdUDuPuVr0bnmEaWbrLKF3sFBX53W28Gq69ASyJttLJXZ2EzOHjJdAhGkTwuDnDOCn9TJRU1lBsq8wCLke5Go2ugc6c1JaMWcKnY/daxOddIqntlgccAz532N41wbZI5caqieI3PktkGpqa+lLJlm91w65pEmQmeLVtG3VMpnxQCfVJHhuzUZmVemJqVCeINOOFc6jw5xhotqL6sVEQ0MjHR0dPN2bdT3bj7TmtjZNAry2lUkJiyMGqQoir2Yb9GtXxc7ra7znvKQ4HouRVcoVJspLWnMyOfKYbVoQ4llF2hIqsoWkZzQm2KwoLMM4v2npBUWJg5c0WgiWsuVK+MgFhbLpcW25VZuLaOA3lhTbjofCeupO9jNj4vjc79yi1ulP2gxGa1v92l/nExuZlLA4LFm2ZfIh+Fwk0yDfBeSztbbgeNDWexQMCtSpfGrUlquv5fadvbm253Vy9M5Te1I9JCwhHZLE4FgjK3a70Yua5mWn07jkPG73aXvmHOVFPKsYiLhN/yLAncC3ROR8bLvVG4Bbh3FdDkqprSKikz/dBHyGYSR/GgmcEMQ1pgq3vMJW7a8472V8+79vZs++/VTNKIwlqCcjL3ltWnpBLgj4mvX2sYqMYjAmnkSBw4fpdOFa9XvgDWdTZQntO/fBaTNyg7o5IQVt/elnAexL9RLLVpDyTLRhWuQo2VO8k1QYiTUnpIp4nGwmSyqVIpGwZz4tz4Y7gp2acoOe8zvebbGefqZgFZhzNC8rfC+Qt4U1EDVdYjFby5rqGlY+t53mSVNcJMjPttXeWleuibZj3cNMrqviwGCSWVUxI9SNe1L3Ls+8cTqLOZtEkSeX0aipiY6ODnB+a5m85CEsTNqkihhHLLc20LRdA5/25nEysZHvG2ELrWLe1a5rPaTVa/YA/lrBREaRivkT19FAWmCiMz14iYN33DPJuKnxAnvhngohrl4UbOM6RG8hrTnbV619DYK5KDDb+ZGeXhbPnpHXHG8/SM3GpKs/mTsX4E/IZ1TEOGBlMC0pTAKuNcl+Cw6/7enhhI9qiVXSlR2kednp+cXF9oP5heA87ZjpJuFmHelF00jPUUNFVuydSrDnhKalFxSQcXAvov12ThJZRY81qqHqjxmUUodF5N3YYasmAL/H9sVFRK4CrnNi5gdeVwQjkvxppHBCEFcTURwzqiorec0rXs5df/kbb//AvNxxkzy4JiRjQNAZbJZbtaxJ2ANaLKsKSN5IYU8qv922JttblLxWWUJ7Oj/pNy45D9M61DTiN6MkeFERMtH6Ddh3BNp9U2Dz5kcmwoiDiFBTU01vXx/ZmvEu4lDhTEpexyWTROgJtzFr0W6lc+U3ifhyTXx+6nUquSlXNj1BRrGxjIJMPMFgf59Ly1CzsZdux9vfT9vqRVNPNwe0ExPO4kNvaQaQNS9JH8ksM41NTTz8TBsnn36mI5e40tZ6I2b7EQd10KJDsgXXesmDRmiaU4/JTaiZTWAbVNSfelaOtH79vj5qNiap2HG3bYe86IqA+/KIO2PE8YIMUEWeOAQRIg0/Irkn1UM8EScVE0ICKPvCj8Ca2vQgMxA/AqPJ6/4jnUwaZ1s8am1rhRFdo9pZOJm7MeYiUGNGpcVWK5MzpCnFGS5Me+5HdsPa7nKrlnUyQEuz3W4al5zHR1c+79Iib7jjUhZfljf5yu+eGeZsQCwbrhk/lsiKUE2M5VYtzcsWkXnJJaw05FqNxyTKaXveecom5CcGcQVQSv0R+KPP8V9iE9XQ64zzDwILPMeeA5aPVFmHixOOuEZNK3jZJa/hn6+9jovf8v8xbtw41zm9pek3gPtBa12PljbFS141TBKryWuVBX2GsspvW1NvEXu1raaTRWIEJ1pzkjK3CE34OUCYk1dNdQ3JZB9V+Z1AN8kztHleYq4xTsXYFANvvAVNYDXucHw+9Tdf3ur2/jY1Qxph5C8ohFJFVTWrt3XQOGtygYkA5O1bTW2r1x50YsLiib0ZTsbt/Ts1UZfTTnqx3CC2frIUkydMvqamJpLdXQVmD5o8pHfczeAlV+CnPdYYl7XYmkhRH1E/FEYWvCY3Q3GAlIpqxDGm06YppkzV997myERBm9MYyf40XExN1LFLslSqPCG63bOtvnrLFW7yEPCsRGZ4chWEMfLsyviFCvPDkSceYs/hDqaOt8dyXU/dRsg3c+EUtgU9vSLGo9YAtSOsnzTbaRBh9SomuiTLwllTc4uL1VsOufqUHRnkHb4mKiYqMoqB2PFCXO3Fv1403edpezVcGmnenRmrYaeVPm40yWWMHE4I4pqRmK8tYpiDzPhTFnP+ilfy2S9+kSv+9YuuiTYMeiBdSCu02lrX9ky/rXVIDU8OP+TIU8BWvHfyrbGEdEMdTUsvyGlbA23WvM9pzWuR41mbjI8UpibqcjLoModpWb2kUKmb6a5s5FEfbauJsC3oGiWkQ4Kue2FOqmZ4Fe+2JhSG8goyJzDbqcpmERFfgqdh2uOZaFp6AR3rHqbOEhINCg75l90PQVou/VwtD5RGyAF2H+nk1HnF3XlNefQ79KS7eK6wcoc9HYXlPI8Cc9Gn4UdYzbboWjCdfg4HDn+H+KSWQEdACG93y61aDkmWHdZRGCBKgDmW9Fh9nDxZ7B2kRANfv+9Q6NjnR4imJurozSbpSwxP66XHBnNc8C6kijniHejoIhFfz8zzXpUjeN7xQS8CV7TkHagbl5xH55Orcv2pednpTHt0PZ2JLMsHGliT7R12GzTbX5hJlS2/ux39cXeG085enltceOtIL9aDSLhGwtG4jib0d9iVyDJ3fJzmZafntK1ePwU/6N3O3FyV7aVKyVHb7Sxj9HBCENeugZQvOQsKhaInzVkXvo477ryL+7a0s3Z7dejA3Z5ooNkY5CBPXp/NJkkmYlAkvEyp8CN7fjAn3SkHu+jb2u7yEA5Dzg7WHBASUCVZXhiBidacLEslrCa6enqoq6uDns4c0ev2kDytmQx65vyBp3hghzWkiahYPRTL7w6Fjl4D/X3EKqvdMbUMaFMBLynSky1AtSX0eQbtYvKZZM50kAnSvnrhG4nDka37yBG2DNRQDwUaZMgT8SA0LzudntXr6ZUsy636ESEOJsz687ZDPw36c8+3MXHSZFbv63RpWyGf0cwbN9h81kJsm9CEEiec1tEjr8W2nTUWnq74854Mc087xXb28RAiv8WSJnbm89Zke0lkhkeIzDEO3KS1FK3/E6se4bTTTuNIRSPXOUTIOz4Ug5Zx9jmLSe98hOmnZmCT42xlrMWKtUVvPbjHjuDYtl4MZrLs2L6Gc9/41pwpB5CzFa/ecXcBEdc42oqIMPi1Q7OOU+OTzJ8/M9f2zMWgac9vwlxYmHPVxmwXDRXV9PcXJ75HA5uyfRyMSJp3qQgBecsAThDi2j2QjZbb3cHqLXZkiHPmKbLNc3jskWeRaXZa3rRhM6k70Mq2vayYM8VFXk1Mk2o2jaA2pVSyp9G09ALG79rL4OY/A4XhesBNgkwC5B0QVmZ7IBZjasI/kUExWy4TxbQpYWhcch6pVIrBwTSP7u3gwR22fWHUtKamjFWWMIjK2ScPRZagd4A72kEUdHb3cnBvDVJH5OxdpilM09ILmNTeTd+D9ta/JhO63MUmWG0zXQp5DTJ70Og+0s7k+nEFmkmvva4f9ORUawkpIK3ryiGvULoHfrG+5CenWZ9PvLCHeaeckt+RIZ9xrLqhxSWX3q5t9IwRC09XdG6s4TnpHlES7pUvCF7CNO7sRey95ynO/dBnc4Qo7bEV1/DT5C08XeVMLmbEatg9hO1ab7m117zeKYLoTpAAT2zdzuwFi1y2rV7EZ17KUqPt6b7krS8RYea4evYOZlh4uqNNNiMJFNlQ8C4SQBVtc35Y//wOWqZso7amhr/4yKXl8UZG8GJqoo5kJklymJrxoGeDf/tzL/Lzfe+2e57gk+//F18HOm/703OuF3quankmQXPMIuXINhZDYJVRiBOCuPYOwISIgeM1kotqbUJ30lxof4GaI/MKtEMmNHkFtyZgIa3serqKrZIpIDmldCKvdjXqIO61503V70LqHsl5aW64I5kjEGZweXPQNqEHhG1PV7JPDRRoGnM2gpW1vt6yhYM2NC9blDddSDSQwZ/c+Zl2tAPb92yjflwzD+7oC5yU/OC1d941kKFRWQXlNGXxqzNvvQAueW7Pxca1NSJ+iygvWXt08yD09lDTFkOsQu2xRpAWWWNHR5IJCStHJky59AQb5BDiR+a8be72Nm9SjoOBZXl0Qyf09PHMA5XUiNv0wSR4uec5fcpLHo5kFDUxycUJjiKTn2zgX2daNvDfI2lHt89eVm/ewrZUDbt9bJA1vAtcs83pBWE/inoniutIjxNaNj/4hZrr7R9g4O4nSUydw3Urn89F5tA2k9qBCShYrHsXuACP0snURC0Sgbp6x4fmZYtyZQvqTyaC0sE+vW0nLfNPY4uPbSv4tz8TXpOB2oo48bnTaZ5qx+51mdQExNjOE7XCRXoUMyJwj+cHux9j0sl7cmO5KVe1YStuyuAqj7MjCNAhWfpEMTVR6dpxGe5CcCiE/MidT1A1fW6u7WklhLeOzDlXy2fueALMbF8LZDllt1MnlcXDkY1ViMirgR8AU4F7gKuVUgWp4opdJyJzgHuUUguNY9cDnyXfoHYppeYeLVmK4YQgrlZfNpR0mtArOr01NnhgAGJVpPtDSKtPGCkT+6wMc7MVLLeqXUTAzOEdRvKCCN59bXtZuUqToUMF9/tlavrdXx/nSEVzzvPZ/C41XOoEnU8ChaTBNBtITk6zVGIsbHZPjs1GRpmgzDhafj8SpD2X/fB12nxDodz623vpbDrVJq333hZJM+mHjX1p5mQSrnLmoOMverQpQYsJP3n0967wvDc+81I2eKI1VXZuIFXZQmbXXwPlKbatDrBhfyen1uS7uUuuVre20iuXX121JxpyxM1bV8Xs0CoOP0qaRjI77wmtI/uZ+T7lXWDsmzaVuQfbOHU2FJD2gHoqlKuwvvz6U5htKsCjz3ZR0VVPzZFCG2TtPOcHr91udUuG5j2W7yRaTPtfSFbd4wQEGym1+Girdh3sIVH7K778YFuB530Y/LZrNzkO7Mstm7gGBec3SZ2XbIf1Jy9WL3Ine1jRUsPKtr2ICJsP9bPv8WTgXGAuAl27aJ7Ff9PSC+ChTbmm5yVk5y4r9HD3I3Bm/eTJuP/iz29+eb4nxfodB/jHfeG7TN4FIJCrJ22qcrJVRVIG7XZUGX3RDtGVKlEN5bLyPb720PNs+nNh6D8/mHXkXWCMb5nKoeQA577aHdPPHVFFRdqxPJ4hIuOA24D3AQ8BN2OHrvpE1OtEpBG4HPgIhRskc4HXK6X+fhTFiIwTgriqQTuAe9jgqycYb0dRsUFU9w6sqlm+93ljGvoNdKnxGRZXxTj3lYtcg1bT0lXMwR5EztX3u0JAFWob8pOrDk3jJkPmZLmOPBHXA3p81QsQn0jFvbeR9nyT6h1350L32ANofkXrtd/dvXIjb5g/lTmvf1NOHv1vy9W2806zj8OGP1lN5rxhgUCNqSZ4tja8j3PmKVZvEaxH1lPZfC4EkFadWcoked7VetPSC3jh3nW8Z47FkvPy3z1XF44sesDLT7bhhFWHRQKCbep8NAr9HatRUkFa/O8J01BCfgDffLCLi8fb3fzc9y1yXX/uMjgX/3BnmvzoZ5lyATnZ9HSa1qGfQjDQ8Q+UNJH2+Q5BJM+vnnZs+BWnzJ5C8+kzXcc71j2cy2vuF+orTGucJ0S25lTL5V1QuFLibuwlfqCbbP8euvdvCpTbjD4SpHU9/LfHmT3eYuFJhcRuoWFUsTkgfJffopadvb5aSY2gxfaetudJJ2pzC8Fi8Nr3m+R1wSKF1QbzTlNMWu6vfTMgtdMjAAAgAElEQVQphVkvuZ0XRw6zzQW1N52mOJ/1zSa3+3qzHBhUVEYg4QXZED27T51PrqLupIkwbS5NSxfRuOS8Am1m09LC1NTm81Z66ie/APRftGvzNRPqUAw6klTee1ske12vHCZ57etRvNANC08pNJfJ96Ua36gbfrtM+fYXvgtjQqd/TiuLp//YQ2bPA8XrymeBYZLXyaqVtk1bA535RjLU3yjjUmCdUupOABH5BrY29RMlXDceeBmwDzjZc99sYOtRK32JOCGIq1TY6U2LbQd5EZv+GgafvZ545bziF+M/yQI0r2uD6ooCrRUvucQewC5ekn/Ixfn/tpnPdsgquLeak4tqqeFS30xKZuxSjezAXqSvAhKTStZMmtu1lgh1c08vyBYEmvTOZ4Uplz7eC6zSJCFPVvVkFAU6hq7+Dtn+fVhVM8h27ixJHi8yiUrmXvE2Wi5+Y04mwF1HTv1UYtdPzumvF1b/7JBLpgpjci32rb1t04opMtlCp4pSMYDFqe99P0119kRsanly5hgXF95nyqblgryWK2riW29pClNel46mmSfT0z9QMPmYstVfU3ifaX6iNat6AagJazGY8ZuTi2qxtg8iEux46XUm8Zq7aKI36eTpPHuom+Zl83LHTdk03D3Kva3sR1a96WZNFGQhcohD954kEvNPARrkHKPL6iWvAC3tT5G55DKaWqb5jheushhjA+Cqk4oIiyPtmGSOEefMUxzojsG4jD0m+mgmzYVt2O6ZlvO83d08sX4DK15ySS4Otnf8y2GVtz4KZRtKf8ok+xnsyxKf5y9TMZj1dGp3H79b+TRzPvSR3HldVy1X5+8Jan852Q2lCoTvwpjzEmhyLihloduXdnCMAl0Wk5y/ctYifvCnD1Kx8Gz66ie6y7o96aqbP5wa6TXHKxYDTxq/NwKTRKROKdUT8bo24P0iciHwQ8/zZwM/EpGzgS3Ax5RSj420EFFxQhDXbLWVi6MYFTUbexnYcztWTQsVLe8uOK87nd+E4NVAnDJYzwNPbULmnpHrXNcZAZU1goib1yDda5OqyWtQGU1k1AGqp38Yq3IS9Z53mt8obPBuWnoB4585woFEQ0F6VW0Pl95xN+s89/kNQF4DnKDFhZ9nNoBSCjLdSKIh50mr36WfZWbD0XJ5baMAqup+jZox34htmw+4njaeWwwFRkVF4Cezyiapql+KWHnnN9Me1JvhxyuTlkviN1FxyplkptvmSLc7tpm2qYjd9rztLkzG7oDyBtVPTh6VRTr/TmXDHOxU1/73F6unzidXMfW0M/nbg/+g/oyXYVmWpw0WmpoUI6SlkgaTvKJSxCacQ3XnDl+ZvPJAod1509ILmF33An/50/1ULXopVRUJj5Y7P/kXmtEUmgj5ae3CnFN1G8q9x7JQmUxOBiAX39RPHhN+dobLkuNYtbuD+W/9gK+ZibcdZoz2F6UvedujH3nFikE243u9X1/ywmt3euaFF/O9n/yMGQ+tZuKMFk9ymvwY6IVpJlRiTobCPpZNgdhTuFdhUWo9NSpF6h9beSHRzJmLbAZXqIxwwyThUEjEi+3C+M1ZAL1phVL5YON+47gJXUY9VrjqamIDC049jV/9+QHe8rZ3eLLaeerpg68KKe2QkOrMpphAVdELlVJ0ZlMw9LAiDUCu4yilBkQk7RzvGcJ1OYhIAtgJfBd4EHg38CcROUUp1THE8g4Lx4y4isg/gE8rpVaLHa37RuBqbB3c9UqpHzrXzcZOLXYWsAF4j1Jqs3PuXdjpyRqAX2Oz/qL9f3KDxWcvCtf0eDvmo5seQro2UD33074EUEOv6PP3uyMMAFy24Cy23PDvvOXqa3jPO97K8le9nhUtNb7bP34wU2FqeMuks6OY5fJC9RyEVD99S1oQy9ao6MHDJOJ+g513m+k9NZP4xJe+gtV0Eq957etc5QoiCsVWz34TSlH0HIDKOvoWj3PJY060g7gnZ2335t1iuuyS13Ddjf/FN7/9XUCT92TBdvFQUEzbb8qaHWyH7lXEW96SC2wfJpOGKRPYBOl1F63g2/9zM5/7txuIxeOsmDOlaFQDs6wuU5IS6sfbPlXHLnhhPKnXXZk7ZraT/IRURKYl53FRMskf/3YfX/n29/jYZ7+Iv24wuCzFEEZ0zWcplSWT2kFF5ZuwZp7pe23gwtaz9bzk5BbmTZvEJ3/0a75/47cBu/7syThPXs3nlRIppZitromeXc9TfdJkkhR+u2JtDijw8v7ArEW8/zNfoP+/vsc1H/5o0ffrdhZk9lMMvu3y8Asw9UySUwsX+UH1ZPYTcwGlj1/8rg9w641f4y0f/TQkpvuWI+ouUhiC+lmmayNWzayCa8JIa1g9fe1z1Xzq377G17/wWZadeUbRculvptuhbiu6/0Qavw0kF9VSuaYVsSqReN7u3m/nENxzth7T/bDs8nfyq69/mcOxWk5ZcnbB+ZGqJx98Y/tgz6f3pJLMTtQQE//+mlZZtqaSehzrE5HHjdM3K6Vu1j9E5Frgep/H/ApjO0tEKrD53RHPdR0Rr8tBKZUClhmHfigiH8XOpPXXoPuOJkSpoxuY1/Fguwz4EPBSh7heDXwceC3QDKwEXqWUetIhuA8D33TuuVIpdaaInAKsAV6HbWvx/4A/KKW+V6wMi+bMVLd/9TMFx/08Of+66QV+/atb2dv6JNXT/xmrwiZEUSY/P2eonI1oqotNz27hFz/9MWue28a7r/4gDWe8tCAcVZRn5n77eNn7br9hB7Nvu+eXWLEYsy+x0wx73+sdvIM8dDV27tjBtZ/5FK++5BLeedV7CsJrRdl6hfBv6x0cvWXc9fDdJA/u5pTL/8l1nX63+exi8q2YM4Xf3Pprfvf73/Haqz7I3DOWFiSeKDbAFVtgRIHaeDd07EDOy0/yXpJnIkyudGqQB3/2A/a2d/L69/0T4yZOBiiQKwqKvTcISmXZ9udfs689hSy/OvC6sOd56+qlU8dx/Ze/RE93N5/7wpeYOm1arv1BtMgNQ4H5XLV1JTz7N+R1wam+o/bf5lQXSil+9Mtf86e/38///McNzJg6xXdLvdhW9lCgv1vywG6e+c1/MueSd9E0197qDwqXp8sRpUz9yV5uv+lGJkydzsVXvs9VT8Npg8UWGUop2PYoPHkbvOm7iOWvqxlq2ziyZQNb7/wxZ1zzVSrqm0LHvqGMBV7o52Z6nqV/+0+onvc5rIp8ukC/ncAo7UW3xaeeXMfXvnId//7NbzN/gZ31M0zr6vdsv+ug+EJLde3Duu8HxMefS2K8fwSCUr+h/g49u9vY+pvv8r7rvsG63lrfenruz28s+jwReUIpVch+g6+XuYma7L70APMqaqn1tL+uTIrnU0mmx6t4ZrBnyIF0HU51qVLqjc7vM4DfK6VOKfU6bSqglFrg/D4VeJlS6ifGNc9iRyMIzmpxFHEsiOtXgSnA27HJ6WoRWQncopT6X+ea72NrXv8b2ASMd1TYFnb0mXOc+2copd7v3HM5tgb3nGJlmFdfrf5rySyg0EPanBT+/NQ2nv75N2homc+hue+g9vlC1+So2/neAcRMM/r0wR6u+8Ln+dEtP+OhbfsLnuWd0IohaEtHd0410AMP3gixCjj3n5DqJhchrLj3tsBVrRfeAbG3q5P//eZXePOHP8mEaTMKylAgW4mTbtiztv/9txze/AQLr/wk1eNtQubd2i+26vcjtp3bNrP1zp9w1b9+nonTZ5a0uNAoZUA3seP+P3Do6TUMnPsppGFy7vhwZFLZLHvX/I39TzzIx7/+HWLxuKs8QcQkikwaYbI9+tOboL+Ts676MBV1TbnjUUlL0OJDqSx1Wx7muXWPceVnvuzSTochKGOeV2MTtkUfv//3pDvWUtXyAfrPztvAB9VTGOk3v+uKOVP409138fzWLXz8k5+KJA8UjhNhSSBcxwwZO57fyJbbf8jMV1zOxLMuzH1Pbz15HdRM+I0fWtZ0Xy/77vwBb/3nz1BVU1vw/qEgqF/mo8L8jfSRR6mc+T5i1TNCyx4FfvJN33sXNZNmcPnF5xaVp9j4573fz+wl3dXK4K5bqZjxLuL1p7rKFbbAdZm4GPBGannmiTXs3vosX/v8Z0PLWgyl9Keqx7fS9/x3qJj4WuInXegyJypVGxo0F7cc/ivx2nre9vpX+tbTHyKYCpRKXI37FtZLbNOEeCVTYrb51850Px3ZFF3Z9Cyl1NBC4eSfPx7b9vSN2Har/wusVUp9pdTrfIjrbKAVeAt2JIL3Ap8G5iuligW2OSo46sQ19yKRbcA7HOJ6GLhAKfW0c+4a4CLgF8B1Sqllxn2rga9hf6wHlFI3OccXAKuUUicVe/fZZ5+tHn/88WKXkc1mueTffkzdtDmB9lfFoDtNsdWbUqpgol3zr28D/L28oTCkyvwri2+7Tf/0fbbWYfdTMO2M3ICgPfKjEKLkolp2feuiwHcMDAxQWemfiMDEs7/+ge/xKHJ48Zab/07PnheoGj+ZeGXeDMQrkwmvfGF11NfXR3X18B2JSsVrr7+FqnETWLvDPcEFyQRuuY5Hmdra2jj/pq28dL67vUchrlG0IOl0mnj82Jrr79+/n8bGRhZf9tcCMhTUn4r1IxPZbBbLGvmA8GFIJpN0d3fzkbs2uI4Xq6codaThN+4dTbS3t1NTU0NVVRWnvPauAoLnZ4YFpcl0rDEwMEBvby/Nzc2c8tq7gGjENWrbGw0opThw4ACTJk3KyaQRNve2PX3L0S6aC0Mlrs69VVNjlX19KksWRYMVZ2e6PxHF3DHi898A/BcwAfg9cI2jALwKm1fNDbvOeM6FGMTVOfZW4AZgMnbAog9r/jYaGC3imgJmK6V2OeeuxDb4/QXwXqXURcZ9fwd+hk1cf2FoaacBLyilvGEx9X0fBD7o/FyEvbp4MeEk/D0zxjLKMo0NlGUaGyjLNDbwYpQJXpxyzVdK1Re/LBgi8kqgTyn1yAiV6YTDaEUVcBkIYzshHvE5HnZOH/eFY9B8M4CIPD7UVdLxirJMYwNlmcYGyjKNDZRlGjt4McrlcZwaEpRS949EWU5kHNu9qDyewdaCapwKrAeeBRY6tq04/87Hji4QdE8ZZZRRRhlllFFGGScARou4/hr4lIg0i8hy4Epsz7atwHPAJ0WkGvgSsFEptRv4DXCFiJwqIlOdc7eOUvnLKKOMMsooo4wyyjjGGC3i+mPgKexAuH8APqGU2uKcuwp4K3Y0gVdi277iGAJ/AbgfO/LAA9g2sVFwc/FLxhzKMo0NlGUaGyjLNDZQlmns4MUo14tRpjGHY+acVUYZZZRRRhlllFFGGcPBaGlcyyijjDLKKKOMMsoooyS8qImriLxaRLaISK+I/E5EhhXGYjQgIu8WkW0i0iMiD4nIfM/5fxeRv4xW+YYLETlNRAZEZLKIVIvIL0TksIgcEZH/FZHhp5s5BhCRL4pIv+cvJSJXich3HJkOi8ivxlI7FJEPO+2vU0RudlIEIiLvNI7fISJNxZ412hCRf4jIOc7/a0Tk5yLSJSL7ROQ/xc7JjYjMFpFVItInImtEZOHoljwYpkye477jgth4WEQ+d2xKWDq8MgW1NRFZJiKPiUhSRNrEzgp03MLT/hpF5Lci0uGU/W3GdWeLyBNO+9ssIq8fvVL7I2xeEpE5IrLZc32VM7Z3icguEfn4sS91OEqdax0fnXsdfvG0iJxX+NQyjgZetMRVRMYBt2FneJgOCPDVUS1UiRCRecBNwD9hBwv+C7aTmj6/BPjX0Snd8CEiMWx7Zx2L95+xs6zNBk52/j8m5FNKfU0pVaX/gPOxI2HUY2cpeRkwx/ntl2v6uIOIvAz4Inaa5TnAKcBnReRM4DvAFdh9qwIozKl8nMBZwP4QMCeWzwELsKOTnAm8BPiwc+6X2BliJmHb4N927EobDQEy6XNh48JHgXOPZtmGCj+ZirS1XwI/ARqc898XkZZjWugICKirbwEZbJmuAn7sED7BbnO3Y8dB/RjwKxHxT/c2Cgialxwy/j7soPbeLBP/jp3efTZwCXC9lxiOJoY41/4ncACYhp0k6Q96YV/G0cWLlrgClwLrlFJ3KqWOAN8A3jHKZSoVrwBWKqX+rJTqA74NnOGs9BLYpG8sG4t/Elht/E5jD3gx53cM20lvTEFE4tiOgx/Bnqz+Wyn1rFKqE/gBttPhWMCbgFuVUk8rpQ5jD9RvA96HnVnlUaVUN3ZykF+OYjmL4TzsmNU9xrFXAd9SSu1SSu0DbgFeKSIzgSXA9UqpLuBGYJbYmfqOJ/jJRNi4ICKzgGuAO45+8YYEP5nC2lqa/FhhAYPA8HLIHh34yfUm4AalVI+T7/1B4DLsxeE44BtKqV6l1H3A08BLj22RQ+E7L2ErG14G7DMvFjus5fuAjyulDiulNmB/k4PHttihKGmuFZFK7BSoX1RKdSilbsOW5xWjUPYTDi9m4roYeNL4vRGYJCJ1o1SeoeBO7BW3xlnYA3MX8HnsCAvrRqFcw4aInII9CX3JOHwT9mq3HTjs/P8nx750w8Y1wHal1MPY8v3cOHc2sGc0CjUEVAADxm/B1picBVgisk5EDgHfBHaOQvkiQSn1JaXU+7HblMb7gb8Zv3W9nAFs1ikQlVJZbM353GNU3EgIkAnCx4WfYO9A9ficG3UEyBTW1j6MnboyBTwC3KiUOp7IEBAoV1Df2gmc57Q7RKQBm8weT2NG0Ly0wZHzW57rT8ZeYLzNMRNoA5YopY4npUSpc+0pQI/O/ungaY6zceLFihczcW0AOvUPZyJKO8fHBJRS+5VS2wBE5HLgj+S3ON8OfGXUCjcMOCvwW7BX4GYS9C9gT6pTsLfQuhh75h0W9pbSdQBKqa1KqcMikhCRL2EPgl8ezTKWgPuAt4vILBE5CduUI4a9hfkWbO3rKcBMxoj5g4ajRe4WkVoR+T7wZmxS5Bo3HHQzBsYNEVlEwLggdgrs/Uqpe491uYYJ37Zm7Gpci51F8dXAtSJy+mgVtETcB3xcbLv+84GLgJhSKqmUagUQkcXAw8BDSqnVIc86pgial5RS6YBbTsI2kZqGXYfvBH7gmIEcFxjCXDtmx4kXA17MxNWVItaxPYkTkib2eISInCQid2Fv014N/DfwU+CjzpbGWMRHgOeVUn/3HH8T9hbZPifpxNexJ6SxhNcDB5RSa/UBZ4B+CttW9KVKqTWjVbhSoJT6EzY5+D9gLfYOxgHn9I8cUt6ObYM45rbIROQVwGZs+92lSqkXCE87fdzCWTD5jgsiMg34LPCJ0SjbCMCvrZ0B1CulvqWU6lNK/Q34M7YJyFjAx4BZ2JrUb2DbVB4A29RIRP4dWIVtZ3ncmbh55yWl1A8i3HadQ8wfAf4KvPyoFrJElDjXjslx4sWC+GgX4CjiGWw7V42FwJaxRPbE9qhfhb0NtkAp1SMijdg2eH+27fiJYW+l7VNKTR690paEC4HXi4g5IG/D3moxkQJ6GVt4L7ZzAgCOBughbCenH6gxFDhZROYAdyilvur8fh+2NnwckDAutYAx06/AdpjBJgXXKKV+a5zKpZ1WSmXFnXb6eEY9AeMC8EFgBrDTOZcAsiKyVCn1toDnHS/Yhn9bS4IdJcHoU2NpvJgLvMvxv0BEHgYedc793Dl/hrOYOq7gNy8VuWWb8+9xO2aUOtdimz+ME5Fmw+ThVGxztzKOMl7MGtc7gfNF5HwnwsANjL0UsVcCe5VS79ODg1KqUymVMLzXPwD8fQyRVpRSlyulKg0ZwNY+3IHttT5FRCYAn8L2rh0TcDyCL8C2h9L4PPBdpdT3xxJpdXAW8HsRmeR4AH8O20nhN8CHRWSBiDRjO9n9NuQ5xyO+DPyLh7RSJO30cYuwcUEpdbdSqsI49yvgS2OAtEJwW9uCbTP6KWe7/Txsp8exYgrxOeBzYodlezcwFbjf8W5/HfCa45G0OiiYl8KglNqLbfLwdRGpc6KVXAD86SiXsxSUNNc6Jm53A19x2t/V2IvHMbGbNtbxoiWuyvaCfje2B+pO7G2Yr49qoUrHYuDlIpL2/B13IV9GCN/E7vhPYjvTrcfethkrWIS9fWRq5xYDX/LU39bRKV7JuJ18iuWHsTXG92NrhP7HOLcWO1rCWMJi4CeeetELDt+002WMCn6OT1tz7CnfhG1KdADb4/tdSqnj1knQg3/B9qw/hG028GalVArbBKIJOORpm1eNYlm9GMq89HZgPLAbu66uUEodTw5nQ5Hp49g2sO3YYebeopTKHIvCnugop3wto4wyyiijjDLKKGNM4EWrcS2jjDLKKKOMMsoo48WFMnEto4wyyiijjDLKKGNMoExcyyijjDLKKKOMMsoYEygT1zLKKKOMMsooo4wyxgTKxLWMMsooo4wyyiijjDGBMnEto4wyyiijjDLKKGNMoExcyyijjDLKKKOMMsoYEygT1zLKKKOMMsooo4wyxgTKxLWMMsooo4wyyiijjDGBMnEto4wyyiijjDLKKGNMoExcyyijjDLKKKOMMsoYEzjhiKuIfFxE3h5y/gMi8s4RfN8sEVEico/Puf/nnJslIi0icoeIHHb+7haRBZ7rlYikff7OHanyllFGGWWUUUYZZRyvOKGIq4g0wP/P3rmHSVGd+f/z9mVmuucCDAMIiKMgKskAgYCYgGwmsprFrAkh2YDJZg0SNSqBmGRFjWZFg7rZGFE0aNS42Y2QC4s/E0nWYEgIZOUSJjqjaBDiiIJcHIa5z/R0v78/qqunL1XdVT3dXEJ/n6cfmKpTVefU5Zzvec/7fl++APw8TbEfAUtEJODgfPeKSCSZYFqgF/iwiAyIOzYIXBzdB/Az4E/AKOBcYBvwvIj4ks51pqr6kn5bMtX1REFEvCe6DgUUUEABBRRQwN8GTiviCnwJeEZVwyJyiYi8LCJtIvJTEakEUNVuYCOwIN2JosT2C8APga9kuG4Y+C3w8bhts4E/RPcFganAQ6raoapHVfVu4P+AYa5badTv4yLymoi0iMjPo0QZEblMROpF5JiI/FJERkW3f0REtonIChE5HD32QhH5o4h8Ne68S0Tkl9H/W97D6Lm2i8gTwM7otitF5C0ROSAi3xSRN+POmXIeu/o4aJ9lnQoooIACCiiggFMfpxtxnQv8VkTOBJ4GrgPOBDqB78aV+y3wiQzn+jwGwf0WcKWIDMpQfm30+vF1WRv9fwfwCrBWROaLyEgAVf2sqr6TsVVJEJGzgf8EPgeMACqBr4pINbAGWIxh2X0JWB136FTgnei+XwL3YViCL48rcwXwEwf38IMYpHWKiIwFHowe+37gI3F1TXceq/qka1+mOhVQQAEFFFBAAacwRFVPdB2OC0TEA3QDQ4BrgbNU9YbovrOBOlUdFP17JPC6qpalOd/LwJdVdYuI/BTYrqrfsSh3NvAaMBRoxCBUvRiEbAxwELgA6AJuAj6GQe72APer6qq4c2m0DfF4XVUnJl1zKXC+qn4x+ve46HU/CLxPVb8Q3e4HmqP1uAD4KTBMVVVEPgI8DtQCu6P3zQe8BYwEvmx3D6PHrlHVM6L7bgOqVfWa6N+1wA9V9WwRudnqPMAcq/qo6rlp2jfZrk7Jz6WAAgoooIACCjj1cDpZXAdjtPcYUA1cIyJdItKFQSzLRaQkWrYJKI36xKZARD4KaJxv6YPAjen8OVW1BdgM/ANwKQbRPWaeEjikqv+qqhOAQcCdwH1RwhaPs1W1JO43kVScBeyNu/YuVf1NtN1vxG0PRe/HULPd2jeT6QJ8qroP+DPw9xjuDRuibcl0D5vj6jMKg/CaeDfu/5bnAUqs6uOgfenqVEABBRRQQAEFnMI4nYirSXoEOIRhzSxR1RJgADBNVbuiZSJJ/ybjK8DD5h+quhk4gmElTAfTXWAu8D9x2y/DCMYyz9eiqj8GngesiGkmvEecb6yIfEgMpYTDGJZJc/sAoIpEUmmFn2O4C3wC+El0W6Z7GI8ODIutibFx/7c8DwZRdds+N3UqoIACCiiggAJOMZxOxPUwBhkahEEg54nIOBEpxfCDvCWubCXQqaptyScRkXOAmcCPk3Y9BCzJUIdnMaytlwP/L277H4EzRGSpiAwRkTIR+RjGMv0fnTYwDv8D/JOIjBeRwcD3MCyYa4HPiMiHRaQM+Ddgvao2258KMIjrbAwVhF9Et2W6h/H4LfBZETlfRKqAr8Xtc3MeJ+1ze64CCiiggAIKKOAUwWlDXFW1F8OqOV5V64GlGAE/hzCWmK+PK16DEdFvhRuBUuB1EXnb/AH3ANNFZEqaOjRhSF69qqqH4na1YFhdL8ZY3n4Hg3Bdparbk07ztqTquF6RdJ064FbgOeAvwIvAk6r6Eoa1+L8wiPy4pHbb1ftNYB+wWVXbo9sy3cP443+J4U7xB+BVjOfQ6/Y8Dtrn+lwFFFBAAQUUUMCpg9MmOAtARL4ODFDV2zOUuwd4W1UfTleuAGeIKi6URf1lEZFLgbtUddqJrVkBBRRQQAEFFHAq4bSxuEbxOPBxSRX1jyEaaf8xDH3WAnKDicCLInKWiJwB/Cuw4QTXqYACCiiggAIKOMVwWhHXqC/no8C8NMU+B6xS1Y7jU6u/fajq7zAmAjsxpLUOAMtPZJ0KKKCAAgoooIBTD6eVq0ABBRRQQAEFFFBAAacuTiuLawEFFFBAAQUUUEABpy4KxLWAAgoooIACCiiggFMCBeJaQAEFFFBAAQUUkGeISJGI3C0it6TLtFlAepwWPq5+8WiJ2HP0M4dW8EZTb+xvoRulCCPJlj2EbsRTygXnnkHPESOLaXvFUN59sxHFA2R6LyOIhFH1O2xJNogghFCK05Y6//xqGl/ZRUSg1yMUhfveix6v4IuAJ/qunFHq583uzHUWelC8ZL4PUNKbPhbOL14GBz0Eq8/hrdZe2g+8jVEbH97AUM4d3EPjm/tTjlOBUFJ7TPR6jOfri6XQvMoAACAASURBVCTu6/IFY/8vG34GZ3Qf4e1DLdH7oHjy8MlEROj1YFlPK9jVPeQVPBHwWnzXZ5T6ebc9FL1e6nPONc4o9XOwdDBdTUdQivB4ixh77nCO7XqD5kjI8pjk+qer5+j3ncerf3nb4ixhhHD0G3YPb2Ao2tNMJNxjud/4ngQzGd/7zjuTva/+xbKs3XPq8Qr+iCJJzYp/91Kv24WSn+zFyW2ygjcwlHMCTTQeaSUC+COpzyT+G+kpHmh7D/vgrH/KDr0IimLfV3kDQzl/VBH7X9tLq4TxW7xn8e+gb9Ro2g68a3Emezi5t84QQeh1/F6XDT+D0Ltvor2RhD5LgR6fh+LeCNVnj+D1tzPln7FC/76xeKQbbz3eIkp7WglpGLD/nsDo5z1AdVV5wnjuFBMnnJexzJ/+9KcjqjokY0ELiMh5/qIBr5cEhhCJhAn1NNPTffQsUybS4TkuA1YCIzB0zK9W1VY3ZURkNPCcqo6L27YMuBkwb+zbqnpuNu08HjgtiGu5x6cfKBlgu/8/vnwJn/xpU+xviexFZQRkSHEvkT0UlV/I/95+Mc07NzFw8kxuaz+fP965CJUKkIr0FdMePLxDRM5x1R5X0GZE21HPyLTF6v73P/jMlEvo8QgHy/yMaukbcPZVFDGsLURRtLMY4S9jU8VYu1PFXbsD0bdRORvEvoMzr+0Ut04ZygNDJ/LaS830dPXywm8f484ptewPpSQ6o1fgnYpiqo91p+x7L+DDG1EGdocTts9b9yx3L/wW5TWL2PTdahZ/6BPs623jrQHFnN3cnWE6kx1airx0+TwM7bAmdMk4WuJFESq7Ejvod0v9lPeEKQ2lZiu+dcpQlu8w8l60+T20F3kZ1u7setlgTvEw3vzGl/j5w6tQzyjKaxbxzIPj+fWFH2dd90HLYw6U+RnQFSbYa9Tf6n008fgP7uQjS59JPYkeRlRRz1DXdfbOW8pFY5UXdwvhNfdalpHIIVQ8IFUA/O7eT7LwS9+yLPtewIdHlUFdie/YWxVFDG8LpZC/NwZPsq6YKqKvoXIBSO7fQIm8g0opyEDbMtNvv5kP37yYH3KEXo9Q1ZlKDt4pL2JwR4iSsPLOOZ+ks6Ux/YVVEd2Lyhkgpf1tRtK5mxDtQT1npC32zcfv5PDDS9n24tuUd0dS+pEur3Ak6OfM1h7+esNPbN8LO0hkPyoBkEGum5AAbUP0PdRT7ah4oKKaIb5tsOdArO8GI49548Bizmnutv+GMtalBdEW1HNm5rIZIJHd0THCeoLxjbb9sf7icNBHca9S0RNOKXco6KOkV1m9/UUu+eg1rutxYF9mhUYR+ZOq2iYZsjlGKgaNi3S0vc2AQePwF5UD0NN9lJbmv1BWcQ5Hj7yc8aOO6qHvARYAvwceA95R1SVOykRTvM8FbgBKVfWCuOOeBn6oqr9x07YThYKrgCU8QOqHYQXf8I8m/P3ibsHoGpzcWr9xnTwqb4l2oRkIOMCxus2AYVWNJA2MYZEEC97+UBuBCgedpwRRqUL0HVCDiHzz8Tspr1lEoKIa77ylvPDbx1yRVoDlOw7RU/dHvn3XAr75+J38+sKPW5LWTLCbsk15fgWBimqeeXA8ddfNZ3+ojW6vYaHIB2kFw5JgZUXIF3o9gjfP19saaWfKIB9ev3NComRa5+hD885NlttFe9A0E6V0uGVWgGW1Y7hobKZ74+zeKeTIQh/tU/JAWvvOn35lZFntGNZ1H0TFvk3xz8931hXWheIhgsogJGPW6fzhng2dFE2YwegJQ7hqYqrFW0Vi7Q02tGdxBSV3Q63z59/Z0khLRLhx/GDbMgMmzchFpfKK6QtqYv9PHoviYd6ZT36l/jjUyhlEZGBJYGgk1H2MyiEfjJFWgKLiQVQOmUxnx0GCZSNVROyXWwxcAexU1WdU9ShwL6nSnunKDAY+DFgtGZwDvOG+hScGBeJqCS9GR+4EfR3JgEkzoh1bBEcdjAj+4ERErZY7c4UucLG8KCQOyYqxVJY8UE1enE4KNx6DAD+ihwlUVDP62wvZ9N1qfvnMbbzwgde4duJUx3WLx1/bQ+y6/nZGf3uhrfXOCaye0v2Pb+Vr9y+gddVSnnrJmFT0eIXiPC6r93oEf8TpOweihhtEMlRIWX62Qvg4EOX9oTba9ryKBEcB0FGTmcCqCOJwFahpez3lNYss9vRAFkvPgYpq5o4qxbttPctqxyRMzhInapJwj+0INBjfjtXzSP7OrK8Tj16cuNxkj8yTbe+29QAogjgg7k6et4EKoA0019Z/u7uciGBDO396t5mRH55F5dTxjPCXJew3yHh/vhU307HcoqOzm6GTx2UueIog7JGYy1oyzD6xteGh41wra4jIJJ+/7GhJYCgDKsfh8aR+vx6Pn4GVNfiLKvD5y9tFJJ2/wgSgLu7vBmCYiJQ5KaOqe1V1IfAdi3OfAzwqIk0islVELnTazhOBAnEFBk6embTFucW1c6xBCpu2x8/ynM+wi8YsMK6lzkmLO/RCGh8vE5lm3sndbm11psmheaCgMgxopvPYXiqnjo/tSjfgZ0JEhJoLsBxo+ov9oTZmHamjaXt9zJIrGCQkX3BKOE1ExL4Dt4NJwo8n2v66i/BAfwIhGzfevt5uhvjlOw4xYY7Ve9hLNv6EPbPn0/jEcpp3bqIy1ELP7PnWdRRnhAjcTxDsrZSdQMDxedwjc5vM7zXsAa+D7iqz1dq8tA8YiOh7zso7hrPnNGFOkGHaSfjlzQnfvIn4ycfiJVU5rqMbmKt5zlBSfhba00nPy68lbI/vaxqfyDYPTC4nUunHW3NsVQw/Vis/5JMUXygfcC4lwWFpC4kIwdKRlJaNArhPRHbE/eJ9HiqAY+YfqtqN8SAqXJZJvr4f2Ad8DxiJkSzolyJp/IZOMArE1RLOLa4Tz4rEOvRjdZtdWBkMfzpj4HVj4XULZx1Mk994r5OJQ05sBeIHyoGjlF93L2v3tXPHxj1UX30rc4rTf9R2iAhMeeAJyq+7l2WPfCMr8pqOLDbv3MSu+r6WeyNKOG/LtO7hlugCCQOyncX2RMPKup8O3y59nem339y3QZVsiestswI0ba9ny5MNND6xPEa8AhXV9MyeH0e+EwlR6sS3D+mWNq1gTcRBtAPNuJLYH6QneYGK6hiB6PWkX67NhlaoDAaOgTozGDhD5tp45y1l5YwhvLlpI7/b9NeYD3hi3freye55X8pLPZzBg5txYuJ1n6BI4N//dNi2zNe//0KWdQmTO+JqP/555y2NPZNQ1NrqO2V4K5SUjiBQUe3oV1x6BsAOVZ0S93ss7nTNxM1eRaQIo6M76rJMAlQ1pKpTVfVXqtqpqquAQ8C0XNyDfKBAXLGyNjrtIATVCE3b6xNIjhO6F6iojvnTiafI4fUSUV6zKOYvaomYFTfzY75j4x5G+MtSlmrtCFLt6OHO/Fxj5xmMaBO3Pb+LFQ8cYeeKNdy4+XCC/5LjcwEg/OpwmEsf28uGqknctHCaJXl1s/ScjK2RPn82ryphz8nD9NwSvGQY0dYnpj3xVvdkuH1eC7/0Lb5d+jreeUujW6KkNYtJRu3o4Tz1Ugfrug/StL2e2uog5TWLYlbQRGuoc4urnS+x1cRhWe0Yi4IKtAMnjrj2zJ4fs9iHxZkV2fGqDEStrkGgNVNJF8jcj+/4YhVPT7+S11p6OBbqtCwT7xqxrvugq34vt/Dg9L0rr1nEN99fhL8ntf3Jo1PCxM8hRMOo9FclwYQXO4vr89eMjv2/y+ehpDdz+0/c88k7XgPiB8xxwG5V7XRZJgEi8j4RWZi02Y/R6ZyUKBBX+qyNJlS8iDqT05h6hpUvXWbiOnnxPGYdqaMy1AIVVbglruU1i5gwJ8iEOcE0y4tRa6uDQfzF3cI0T6mlxdUOjoIvTEgxEGDn9x6gteEhOlsaeXldB9VX3+r8HHHweoWVK5spWr+aFQ8cYceli1n2yDdSLLjZWoyTlwy9EQjn01XAdXlnfoZ2OJ4W16oK5+9KRNw/rzuu/07cAJedtTVQUU1lqCX2zJ96qYO5o0rpqDF+icvezmqoGO+M18rH1ebRVYZaLLaGomfrv/SQPdIT14vGauzepAvs6897pVKBaC6Ja/o2ldcsou66+azrPkg4zUQw2U/5V7faKD/kHc4trs88OJ7ttyymK5LZgv3t0tezqEsuXQXsiavpVw3Q6fcQ6M3XyuQpgWeAi0Xk4qh6wHLg6SzKJKMTeEBEPiYiARG5HqOz2Zbj+ucMBeJqCR9OfFw93mImD69kV72wNdJO885N0QEuM11aOWMIex99mMYnlnNmVRC3xHXCnCDLasewrHaM7fKi0QZng3iwoZ3pC2osLaxWLakMtbhyiwBQqSLU+XosCKO14SHW7nM/qRvqL6U4UBojwK0ND/Hdm57ktvbzuXLL047dDwzyZ41EC/rfnsUVcrN46RYb9x5g4OSZtq4dyVH4TkjQ/lAbjVdfHrW69s+/Nf6cx+o2c9FY5aKxSm11MO59d7b0a5JWN2+Nqe6RiA6gNI+KApDJf9K0nprBmlZknFgJo561o4e7rEMZ0JFDd4H0z+mZB8fHlqEjaVw6klUU7KTPsq2Hczgjrt55S2ldtZTHXztq2abkVQ337QE3Y0tm2BPX5258BDDunmFxzdx+VwaVUwiq+h7wL8CPMHxSDwH3iMgXROSNdGUynPevwBeBh6LlPwt8XFUziTCfMJwUxFVE3i8i3SJyRvTvfxWRI9HfnXHlKkVkvYi0i8grItJvLY8R/jI27j2QtNWLMQBmhloGVaXvpMyZ/lMvdbDlyQaqB5UTqJ7t6HomaquDeLetj0VAW8P5rLj3rWcZOHlmqsU1zdKt4+ALExJApdJQUYie854Nna79U+e+P0B7JLHT7GxpZMtd9zHza41cuaVvgpnZF9R6Z7ybABgDl5I/T2S3sItWd4qTh4L3wWxOct2ctHP5jkM8f81oikoqyGZAvWissuXJhoRtex99mNpqY4JYO3o4F43V6DJkHxEJVFTbBjamcxOwozJ7H304tax2O5K06x/SL0PPHWWQ9l5PejLeL4omXgz3PPfSdtawJ3qBimpaVxnuJSYZt5f4Sl3dsFazyDei7cngSrPji1V8/fsv2LbJyqzS52rjFLnzcTVWOFOJa3nNophiTLrEA6cTVPUXqnqOqpap6hdVtVtVfxSfLMCqTNI5fhev4Rrd9jNVHauq5ar6d6r6yvFqUzY44cQ1mvbsB0TXwUTkEuArwMXAB4HPicgno8VXYMwIRgJ3Az+POh9njWkeK6uh/Qwwoe7FVZR0NqeQnOhe2+MmzAmyfMch9ofaWNd9kLa33uCcDzsfmMprFjF3VCl7H32YvY8+jHfb+jR+Pc4oSmdLI+ELZ7v2MXTvTzQYo+s0XG6CDe02z8AaI/xlnPtv9yPd1pPB1oaHmPLDI9w6xb34fDoIUBxWOv35+WTcEknNQlUgHh4lRa83Hyg9+wKOtCi9bz1LsKGdezZ0Er5wtqVeppWbgJul58arL6f3/PFk060tqx2T8h3vqhfmjiqlMtQSW8I3rDl99CydwH7II5bZpdJhV71YfFM5CZHMAI8leTBhWoLb/V5HVi+wc3vIhGIM14hcwJ64Tl48LxaYZGoo291hq8nvLz7vONlR7iCCE/eHp6dfCaSXjkrGji+6VUvIdXBWqqEofiXRtLY6+QrcrgQWcOrhhBNX4Cbgxbi/Pw+sUtVdqtoIfB+YJyLFwKeBb6pqs6quBg4DH005owuMG69sbEyWCXLmBK89LRzq8SQQLyMBgf1AE6io5huv/yBh27tNLVw8bpRlWSt01JRyrG4zu+olZUk7ET7cDAKXPraXT40dYDFLT73GsbrNrJwxxIWeq3kqwZij9NUrnTxSMm5aOI3nGpuJpPHdCq+5l0mrVmc8VzprrFVCg4FdvTSX+PKyxO7WN7C/rgJGoonsj3eCEf4y5LwP4tn/Zsylo2j9au7YuIdJq1Zb6mUmt8m1Bc8fIBu7eLx/azr0vvUsyfI9Tf4Ky1WDbp+HorB1Xex6iHXdB21kuPJraTISNqRfGVTgWImPgV32q1Hx77G120Mm9JA7X15nBggz/a4drCZU7pbXcznxSN+mCXOCMStlRJzJlgEs/tAnXNYjl23yY0Vc44P7On3ieMLkeiWwgFMOJ5S4RsV2vwjcHrc5WUD3FeBc4DygTTVBrd/c1y8YZDOhZjgZKES8dHYapHeapzROFif1ow5UVFNes4iv3b8gQYJEgabeCP84pSaFqPrOusKSvF40VmneucnG0hsP6w7BDkXrV1P+d5ckkAdRTSFU5iBtklf3y2Z+TOJqEAFnmFM8jPLr7uXH/32YTJ3mjZsPZy21ZYdgKEJEoNPnYYS/LKf6sW6j/LPRcY3H8bC4XjUxyM92HSYc6ntPO1sa2bliDWv3tXPTwkS1Fas2Ge+f83oWH3SuwRyPTHqWiQGcqfI9VqsGPV6h2EEUdDLiI6kNHA/HjvTEdcCkGbQVefCHI2kTccT3nHsffTiLJeg8EFeb78T8fjNpgyrST3/yXBNX+z493m3MTR+xP9Tm8lnlmrimN7B0+TwELNJYn+zwDpuO76wrHP28Vdkl4zkdccKIq4h4gCeAxaoaz8ASBHQx9FEqLLbH78sa1tI8DoMvQl3sbOzzj+3LnJX6UffMns+EOUGmPL8i8RwCvogw0hdKsLQEKqqZMCeYpB9poLY6aCmUnYroAOswuUFnSyM7fUMpdyBz0rxzE807N9H4xHImzAm6lMbyI1lkybl85fXcsXEPHXt+QqZOc+eKNVy+8vro9VxfKgW3ThnKbVOGUh3yURoIctPCaSx75Bv9P3EUf4sW10mrVtO4LUzyt9TZ0siKB45QffWtCeTfLjDQVTO92VlcExOIJO3zJ3cxiUvQqT7yRp27vWksrmms/b++8OMnwIcycRUkGZFIhOYSHwO7nE8Knnqpg1tmuUiaoBqtQ46IqwhOrK6hDBZX41ml7ndO9HJpAUwfOBzvnhEWd4T7hQ+8lrlQDHkgrjYku1cMEp7J7cbsP13JsBVwSuJEWlxvAPao6m+SticI6GKI+x212B6/LwUico2ZfSKUpuMYOHmmRf5pp8Olh57uLsaN19hyt2FBTP2oLxqrLKsdkyL4bErLmBHMJnpmz2dZ7RhumRVIiJIMVFRTO3p4BhcBsxmC0dE5t7pufOEIHxjal2kr051o2l7PyhlDXEZyJlqC0+l6mphTPIzwhbPZuWJNtEbpX93OlkY2VE1iqK//ndgIfxmTVq1m9LU3sOI7X+XwoBJ+O+XzbKjKnSyOG4Km9H/Y8CgpKgkj/GU5s1KP8Jexdl87nW89h1XLWhse4sbNhxN8XSMWA61rQn94B24troGKatvvKZm0Gj6tScS1sSPF3SUcXV62j763x7rug0kZmnIVlZ4OXuMaNn6uf9z+J0TJKEcU/7z2h9piQV3OEMLQ4M3lsOSAuGa0uFp/a86J3vFzFYhfOTDUH5y/N47dHzQXPVAcxBM9V2K7TFWKbp+H4rAz/1bRbNQsCjjVcCKJ60eA+SLSJSJd0W1vYiz9xwvovg94KbpvkIhUWuxLgao+Zmaf8Gd45VOXq53q5Xno6erT9W3yV6BmR5G0vLmsdkwsijXh2h6hWIXmnZsSlnkuGqt4t62ndvTwBIum76wrXAY9ZF6GiUfPu1sY/SnrVJfxaNpeH7NS1V03P40kV/o6pQtuicflK6/n0sf2RstHcNJprnjgCF/4VBqxe0dnMfxq1+5rZ0PVJLaMnEbggmk8+u+/YMUDuQsCc0PQzHr3Z9jwRlItrjctnMblK6/PCXm9amKQezbYal4D8PK6DkZfe0Psb8OKnOQqQB9RdwTx49bi6jvriphfYDr0uRSl9g/Jky/TvzXbZzR3VKltpq68QATju7R2F1j7y/VUdIcztifZ5eVY3WYXAve5dBMw4cTi6sEfsX9n7BQ83Pm55p+4ltcsSlDGyMadyFUygpy6GtmPU05lsExkFxR4akBELhOR3VFlpZ+KSLnbMiIyWkR2JW07R0Q2i0iniGwVkXH5bkt/cMKIq6rOVdViVS1RVTOk/mxgPnC9iIwUkfOBJcDTUXeCZ4F/i4rkXo2RR3Sr22vHL09aS9lEB4oMH72KhzcOtSUMWl0tb2Ll31oZarFMr9frEXp7QzESaGbDWlY7JqYYUFsdjPm7moFZyf6t9gTQncUVwqw/EI6Rl0yEavmOQyzfccjl8oy7oLER/jLCF84mvObe6JbMFlcwrHpln70JXz8tOOXX3cuKB47Efgd27KXn0PO01j/oKAjMCQR17HOaCw3XZEJ465ShlF93LxuqJuWEvI6+9gaK1q8mHelqbXiIDVWTYteymki4HRpFnGkwx8PdpAtiwVnR/sEktPH9Sib/1kyTpsUf+kTMdag/2d/cwcbPVUP8+ZVXKetx7zu899GHWTljiMPS+SKu9v1fBON78qXhRf1V8MildTJdcpwJc4IJ40LY4zw4y0Ry4LBNLci937V9PEa315OVr/jfGqIJBVYD3wDOxHgIdzktIyIDRGQB8DNSH+CPgN8Dw4CfR89x0uJkUBVIgKr+GuMm1gN/AB5S1d9Fdy8GLgCagBuBT6u6U6se4S+LBVKM8JfR5K9IJX2OZ5Ie3jnUxcDJMxl97Q3csXEPVh+176wrbIM/4rPQVIZaYtmwvNvW89RLHTTv3MTcUaWxDFlmYJZzuCOJEOGdeo/rVKyzjtRlLhSDuwHwqonB6L014bzjXLl9HwOKs3/NTZ3f1oaHYj+kBGNA7MwqgYIVRJ3b1DJZUpxYbgUzQMtww5i0ajWXPraXFQ8cYUPVpKxS8ZoBayP8ZWyomhT9rtJbC+/Z0MnlK69nhL/Mtl0Cjv1xu1r3p72eFVz7xMWWNvuu0xeYaSCdf6sT7A+1JfmHZj9wm4GhmVGEWGiOix7lso/8naPBInmi+9RLHc7UBTSCaGse9GqtJzIv7haumhjMKIUF6XsbZ779EXI31NpbXGurgwlxD9lYXK2MK6kIk3vqYG1xVaDbhaLA3ziuAHaq6jOqehS4F0iW9UlXZjDwYeDd+ANE5CxgErBMVVuA7wJni0iC1uvJhJOGuKqqqOq70f/fpaqVqjpUVe+PK3NQVS9V1YCqTlLVP7u9jhvN0Mzw4Hlzl2ENvHA2L6/rwKqba214KG1q04m+ciqnjmftvnZe3C28uFsYMGkGV00MMnDyTNbua+fldR30vvUsL+4WBk6eyTRPKSP8ZUxfUEP4QvvkBdkEQnW9s4Hqq29lTvGwaEuEOcXDEiLpd9VLLHc5GJYVR524KqL7UTGsMIGK6rSBMWAMfolJFgSny8HTRgTo6c5cLh1qRw8nUFEd+8XXI1f+VCaJdIJ0Flc3SQkEGOYvZdx4pclfQbChnd63nuWeDZ2x5+8GV00MctVEI3Ctz00gfZR/eM29MV1XYxKXWsYXUcIOJpOG9TuXJCEdElcy4ieTxmDrcRx9bwfz3RKNoJK9ZmbP7Pl01JRm/D5VApj6yn0be4BmPvUvyanMrZHcrqsmBm0TNMRfQ7QR454OcHQdp1DxWfZ/4TX3sve2xx2tXqQLpHPm6hTCIGa5gP0K2j0bOhO+2fRJFfqDNiC3WqnGOJU4abr0sb0MKirFG1FXX3SujAknIZIVlxqAYSJS5qSMqu5V1YXAd5LOOxHYZSYqUCOr0mvkQLEpXzhpiOvxxLjxGrO8WkUEo06FiTyEe1q49LG9XPrYXsMaZzM/t/uYxniDnD1tONVX38rGxg6K1q8m2NDO2n3tjL72BsIXzmZjo0FaO1saCTa0E75wNuPGa4zYJlojk5E+WjgVRv3X7jNSwI7wl6LA+TWRGOk3EyfEz+531YuN/mQyjmBYDQYBxqAaT4CtsD/URuuqpXFRvM50dgMV1Vx6RoDOfuS72h9qozLUkiBbYhCACODNmT+VEeXv1FWgv0uXffj0+wKx1QIzha75/rmxuo7wlzH62hsYfe0NVF99a9RNAKyko5Jh6rqO9AcsM+N4I6mBZFYwvrHjRVz7LERmUKX5PYTFeDvTZflx4tPc9271b2nWeWR/CdDV5yKliui7qFRSVeVMoD65XZVTx1uoMsRBexB9E5UBqIzIsd8kpFuC/u5NT/KVr/4zgQxC+hFJzZwF8B9fviTz5bUX4/nlSqzfnrgWrV8d+2bNL87qbvb3Dou2oZI7KUADqeNUeM29fGTWGIrSTADjYabwzuRbfzzRNTpAR02po1/3WcUAU8yg8ujvmrjTJSgrRYlmL4nKSk7KJCMvik35xGlJXJ1AwUEnagRpFK1fHTdQWw8yyR+TGcE9uApKRo6myV/Bi7slJtS+sbGDAZNmsHHvAV5e1xGb2fe+9Swb9x6gcup4KqeOj7P02sFdcJZZf9Pq9sWJpfi9QsUHaxg3Xm0t1lsj7ZmFn7UL0aOoDI/d21tmBRwJv9//+Faev2Z0dMnTWbBKz+z5vHrn1+l1KAdmB1Pyy/wZCgpG5pjsRNZT4c2RxdUNyvBQVnMeAybNSNAybm14KPb8neKqicHYysPafe1xlqjMwTGmrmvJuJGWZM+jStjBvTG+sRNjcY1fNXCS5cdduFX2D7u8ZlEsXW1G5Q/xA0FED0TJazPGsxtsPcG3OkVccNYIfxkDJ8/McGwbUAZSmQfSCulcpTpbGnnyWBUfrP1w2iBLxdriOtdzTerGFETlvXLWNnsf7s6Wxtg3G/JmdoGwQkZtalWgg1xbXO0CA/efM5ViFy43g7zFcbEQpyR2mEHl0d9jcfsSlJWiWUN9JCorOSmTDFeKTScDTjviasrWTPOU2mTNcgODuHa2NMYN1NbENbzm3oRO4aqJQaYvqGHQhA8QPvN87ti4J478GhHXa/cZKTLjVQ86WxrZ2NjBwMkzY9ZWw9Jrh/Qa7MQ7OAAAIABJREFUeakwyhWtXx2z+vr9foZ/7qZYEJpV57Y/1JbRV1D0PVQGRwdIwyLqVC7HtLouXlJFcelwnLgK3DIrwN6/9H/AaNpeT211MPZrf18AQSmr+YpLf2N75Mri6oYQlQ0oYeinrmHtvvYUSbii9atp8lc4dhcwrbamn2xKjdJMHkxd10PdymW+ypT9HgfWyRH+suj3kw//OwOJE7O+CWH8e68Y2aVKcyCWnjgpyu49njAnSGWoxbEfr8oIoAvRQ4gejllBNzZ2OEq4IXETsGme0tiKkX35DlTyqbuZPgnLa2vX8fuGMHtve5zHf3Cn5fuuFhPF//jyJQ4JUq4DzqITJpvv31zZM3133cIqFXMiegAvOND6doeoxTWpXWs21nPlOc4MfyrwkeriHNfrpMJrJCoujQN2q2qnyzLJeB0YF9XWNzX2zwdezkmt84DTjriCE91Qp0tzVr6W9seancKc4mGxJVVGjGb3e8di1lYTvW89y8bGDoIN7Sl+VC/ulph1KzXrV3IVPWSKrLVqV2dLYyyvvK84wCGKqb761rTpWdP6e2oP0E5JxYTYpp7Z8zNmLIrH/Y9vZdaROj7/1TlkomflNYuYdaSODT3vOT6/HXbVG76staOHM3dUKUs+HIGiIJ3jyzP65zqFGx9XO19QNxjhL6OotIz3KGZjY0fK5KezpZE7Nu5x5C5gauy+vM5wdUk4l0MR+Nb6B9m3/13+/vPvT9nnJKvYVRODcVJpuVqWtUe872S8rvKxYi8e1YwR+O4ygmVvcV1WO4ZjdZupHT3cWQ538aAyCjiGShVIHxFwEh8QP8mYvqCGjXsP2PdRMetdvolruol7hNDR17l74be45M8XULzmBykENrlHH+Evc2htBdFuckpcY4GB1h2A6efam0Gb1m6Myjw2dpJqnMsBxINBRxLHKT3wKpf9+0pHp1Bg7LVfzXnVTiI8A1wsIhdH1QOWA09nUSYBqvoG8BfgJhEJYGQybVDVd9xWUET+V0TeEpE/iMim6O8PIpIbC08Upx1xNT/MceOVyqnjMxO/tLDytbQnrqZm5eUrr2dD1STW7mtnX0sHG//Sk2BtBYM4vLwulVAABBva2bj3ABv3Hkg5zhr2+oyp6Ku/mVc+4vFwz+/30OSvSNuxpfP3FH0PGEjo8n+mvGYRgYpqbpkVSNAdzIT9oTaeu/ERZrTvQSpSLXPxWLykir2PPuz43OmwNdKOd9t6vNvWc6xuMxMrAxSXBrlorDpLBOEAbiyuRqaf/jHXaZ5SfBWDWPlio+038PK6jpTsVlaYvqAmwUc2FZn9XCECvb0MW/QfKddz4g/aJ0uWH1cB893uC3BKtORtjbTT4xGaS3xUdYQc6J1mpqPNOzclabm6Q3nNIipDLbFVAcc53MWPyrnG8n0UTvtJo11G2YGTZ8Ym39YIRY/IVeCSVYWsxe370Pe+hNfcy90Lv8U//vcoitf8gJ/teIHVW5/H4/Ewp9hwJZhTPIxv7djoYjk6hEquJb4y+7kW+4qysrgmq2MkQ7QzGsSXDyTJsWkvEGH5Gx7HKz9bj7ox0JxaUNX3gH/BUF3aBxwC7hGRL4jIG+nKODj9F4DPYCg2XRI9Rzb4B6AFmKWqM6O/i1U1/YvlEqcdcYXEj9O+U3UCq0QF9sTVjP7fUDWJezZ0cs+GTl5sDOM/2G054Nu5AJjW2Hs2dDqManXj59rX2XW2GKSmLeRl555eNu49EFM0sIKtv6eGgBZUKrllViCWynbuqFJHwu/xWNd9kD9++yecEVRbiZ/ymkXMHVWaMejLKfaH2mIpbpt3bsJz9F0qB1RQWx1M0dPNFqbF1clQky7Tj9NEBtMX1NDeq9S/Gbad/LQ2PMTafe1plw/nFA+j+upbM/hZZ7a4QgjFyx0b93DTwmkJe5yQvL7gx+Pp4xqKaTRHUA6V+qns7MXvYE7h5Dn1WfOzC86aMCdI4xPLadpe7z6I0EL7ON1qS+ww1Vi7BkyaEVNDsUbU2poX39Z4lJCilhCFodiQ2NbWhoe4e+G3mHTZ17n4sw8SUQ//d9+DPPrSdv543wou+agza6uBHFtcgXTE1fRzPWOQl6Fit2yulu/enOJhmRUg8mVxBVTKEG2O29IFFFP34E+4csvTGSfQxR4fP3/5b5e4AqjqL1T1HFUtU9Uvqmq3qv5IVc9NVybpHL9T1QuStv1FVadFFZtmqqoTYmFVvwjwT8nXzDVOO+JqktbKqePTzC6dDhTuiOsdG/cwp3gY92zojAV0+Y/00n3w/5xVPgqTUDon3UUuJbH66l+0fjXS6yXwWkssYMwOiRaiKFQRPQQMpHz8V5k7qjSWytaNm0A8ftN9mI7D77J4SRXTb78Z77ylscQNgYrq2IBtBn3lIv7ezBS25ckGXv/ZD6gePCCnqQUF5/6pmXKrO8HAyTNp7RVK9rSmnfxsbOxIa2UfN15Zu689g591ekksA72AP2bljbewOCF5fX6U+fNxTYQxGfSO/HuO1W3mNU8XvohS7lCk3+mzdpdKORHLasfEyG9/gwiL1q92lJrZbNec4mGs3dceU0OxLJt3/1YDKkHE1sUvfRa+rpZGFNhy1318/JPfZstd97m4sBILzsop0ieVuXHzYdoGVvGpc60JplWg2Qh/WUwWzxbai9GeXGvtmhgEtEWvQ1TXt5zOlkZu3HyYmxZOS2t5PaPcg39HTlekC8gCqvpqvq9xWhFXc8Zmkq8Bk2bYWAOcWm2ixDXBf8p+SHpxt8SsFmZnHmnZk/esOIYGpNOZaCIZ9511BRooonOMsZxnlbXLxJYnGywksY4C3agMiRFK77b1zB1V6spNIB4CtPdqAglevKQqZsldVjsmdm6PK19Ce5gZwtZ1H+THv3md8jcaaF211JEiglM49XNV0qkKZPYHBWOSMbi0mK6zixyKqPcHTuTL0n9zmdpkBh9lo3mabgJSGWqxtlaKDyine8/3GTBpBt6SYgZ09zq2i3pUM0p89bmhZGdxNWXGJq1azW3t57NzxRrX5zDR2dLIjksXZ0xxbE4ypi+ocbAi1EX+SFA87CPxVYqifqh26Lv3TtNT9yGEEciUa5/r9MR1y1338deWLt7/vf90FFBnSkNWTh2fQQHiGFCePwu5eEmUZIsqTmC0aceli7l85fX2h5eV0t1xyPn1VJFIo4vA5QJOFpxWxBUMstrkr4hZW607I4dWG7Gyk9kT12BDO5VTx8cspU4yC1nBPdFwkwazj7gGKqpZvKSKslI/NSNCLKsdQ/POTbZkbV33QZ6/ZnQsU4/no3PwFHcSPP82yscvZuWMIdz/+Faeu/ER6q6b79pNwIQoRFAan1huRExHA6dqqw2/08pQS4xcu7+7mXFEQrz0TpvDLDPO4SRgx2yLXSmnQ8qWJxsYWV7MZ2rs9XfN1MPZTjD6YLUykYxewGc5kbTS0LTH8XIVAJUqwt2NbHvzXdpFGe3CeuhRt3JY7snCzhVruHHzYW7cfJidK9ZkQbwSseKBI0xatTqjv2GR+Ki++tb0fqCqGP6MxyMKPN37F8Ag0Hboz/tkLHXnGhmTyqgSaj3G59YetXTriu8TTdI6fUFNTEvc7pyizagM7Hf90yNKXGOubX3W6u/e9CS3tZ9vT8YDZbj7TiLGtfLoqvL+M5WLxjr7nZe7BbyTBiJyRz7Oe1oR12me0thSiElgreEmMjm5U7SnSuagHD84h7qP2ZbPHdLP0BPR157Ji+cxd1Qp5wwuZ2KVIbafKYq+ddVSJi+ex+IlVVzY9lv+9auL+OrNF7B4SRV1182PJS9YvsPFzDgJ5h1u2l7PsbrNMatY7ejhsShqk1w79fl0g26vOBbFdgMnFtdMFMZpe9d1H8Tz7ptMCIa5ZVbA0l/YTD2c7QQjrlZkesdFQ6hkH6TTZzV1T/Ls/D+tVhYSlu6lCI9vCHfe8U2mVPi4yONclN1NMF626GxpZOeKNTkhrWD4fk754ZH0Vi+UoWUebtx8OMPZugG/pS9t7pHu/SsGetLItWVPXEW78pDCFjKn8Y6gCJGf3c+VW+wDykf4y2KyjAMnz4xpiVsjhHEv8hWYZUClBNEuoJ1k/+fOlka23HUfyx75huWxkeIA7r59Q4u7gLxiVj5OeloRVxPmcoj9sogbP7lk4mo/u+9sabTwq3VvE3Tv9+YkOMaEUX/T2tb4xHKCPg8fGmiI7WcKeLr/8a2snDGEWUfqOLh3N+d3H2TWkTpmHanrF1mNh9k1vVJvLHkfq9ucQGDjtVXNu5srmhkWI4tTf31MrSA4IK5i7aOWUMbh9Vr2tPDWb/6HuaNKmTCnz1poWsyX1Y7JkTKDE4urkRbTimDlO8tUOv/P+H1WWqi+kjEcPHiQmZPGxjLyOYGTScrWSHtUwir7zFmJGtP9R3jNvdzWfr7tflHwDR2WIVgPDOJ6vDQ307x/4onWw87qmv29z58rRHptWnP1ArCcQJjf01UTg4y+9gYGTp4ZS3ZjHzcRfV7HJZCuK+r/bB0EbPf+dfW6fVanHnEVkctEZLeItIvIT0Wk3GkZMXC/iBwTkf0icl3cMctEpFtEuqK/N45nu9wi1yrCJzXGjVdDRqqxg9rRw9nYaGcVyI/FFQxLb2fLM47L5wZufVzDTJgTpHXVUrY82UD4XA9HX3uJvZufz+jTuT/URt1181FV3jnYyp/v/imv9jvJYCoEeDHSzvstLMDxVuF4Z45c1KLb66G4131GGifwqOmfav8+ZHpT3NSrsbeDsv97h8YnlrPsunu5dPdSgg0GWZo8VvFuW58jZQYn73j/8rnnKoOZW4i3lC/csoy/K2+l9c+bmVbfwDoy+z0bxDX/Oq75wM4Va5jqL7PsCz7qH8zWkrIMwXpgBuMdH2R6/0zVAStXjywtrqrkj7hmsrj2Yo5fW+66j5kWz8qDxFKKA6yNjov2ChDHa6JRhFH/NsDan3rLXfdxrsX2lg63igenFnGN6rKuBhYAvwceA+4CljgsswDDAvo+oBLYKCJbVbUOOBf4uKr+JtfVzvH5gNPU4grprK3QP4urWyKaPXF1JCgOxHQ0HTihq3gRjbByxhC2PNnAuu6D6LFWju2ud6xZunzHIe7eeZiIKs91GwFN/V9uToQo7O9tZ1e9xCL+Tbmq5Hq6EffPhB6vUOQiBaEbOK1nLlwFjOspDZF2tjzZgHfb+phU2S2zAjFray6Cz1Q8SMa0u/bENd9TO7vsZ2bb05HizpZG/uI7k8oPGpnsnCRsAMOfOdOzTrz3+bZ0OUdnS2OKZJmJD845l7ebnUx20kfz5xbpLf4qgejytBWydRUwDQX5sA1FYxZsv6lwwnWT5exG+ktRjyHPuHHvAe7YuIeNjR0pSXDiIdqN2spr5RAiGGTfC2lch5L9rEf4y2jvNnWBneLUIq7AFcBOVX1GVY8C9wLzXJT5PPDvqvqOqtZjENzPRvedA+TDyro+D+c8vYhr5dTxsQ8U0olq98fimr6TTPWrdT8sOyes5iUE51ZXo/7xwVNvNYd5ZeNbrjRLQ1mmHHQK865tjRjkNZ7AJtfTXZai9OjJk38rmGQmQ3CWSM5UKEyivK77IHsffZi5o0pZOWMIc0eV0rpqac50cDO+4xqhvxmv+qTYcmVb7zsvZLboNvkrGDBpBgMnz3Qklu4kjS2YSQNy26ZcYMeli1O2zSkexqjPXEfXkcwpzo1v8ngNP5n62AB2Oq/Z3/uotTUfS+sipI9b6LO4QnxyDgNXTQgSUbj9t7sNLfHd4kBe8Xi6dpQA6ce4ZD/raZ5Surt7cfesEu/TKYAJQF3c3w3AMBEpc1gmed8rEDNenwM8KiJNIrJVRC7MRYVV1UnyA9c4rVwFgNgHunGsEmzooNWijGjYhaSOkNl/L9Px7onIRWPVZdYvU1kg0/KcQVzjSUtXJMRuFSIh50Qm21zZbqBiWKW2mk2qNzq7ZCthLi12ERG8Ga2H2cEJmckYnOVQDsu4nhKOkoflOw5x63XzqZw6nqbthnU9d1JfmXxco9ZWm0HeqRXZd9YV0LzFde36m7b3xd3CxmpjBaf2wtmMG/8w63akP8ZdcNbJR1xXPHCEZHo+fUENd73UQiTS48AkcjzblOn9KyKWFjblmWRrcc231FcxdskNjPGrb2if8sMjTI9zFxh84QQ8jS/y8v+0UfR2n0HM1qxxXBUgQGVwxjLJfq7jxiu86Y64uhvnjxumiEh87/GYqj4W/X8FEDOJq2q3iPRGt7c5KFOBoWlmohWoEBE/Rpat7wG/w8ia9UsROU81ISPESYPTirgOnDwT/mz8/8XdkiZDdgTn/lfJlsz0NMnaReF4+LA5tbh68XjhnVBbrAtQhOZwN2mkqVOQb+Iqcf6gZoe81eaRedSoT1EO6hMRSaOh2j84dRWIiKQdTp26CniTrvfUSx1Mq29ga6Qjp/q0macOYQxXlk7IMp1k0/Z6OqaVwsvupeV21e93XL6jppTAW9UpS6p9MkIHmHXtDYx46Ttp72Eu3VdOBFobHkohrgMnz6Ruk9P7fzyJa4b3TwTUBzSDDuwjr6qItmWV4tQILhqUVW2dwHBv6EBTY3OACKK9KAYRL1q/mmmeUtbRxgh/GQMmXYz+9EV69/2Crta3HVzteCpAkNZFwMTOFWsYGfd3WBUiPbibZITJt47wpDNKONciqNMKf95XzIuwQ1Xn2BRpJs6JV0SKMDjcUYdlEvZhOHUfVdUQMDVu+yoRuRGYBvyvo8pngIh8DPgtRpaJrwGHgYdUbX100uK0chUAQ0vVSpYqEX1RmZmgMhDRJscixnNHWS2BWHfggYrq2M9Eec0iLhqrMc1S53CSLx6glLIRQ2kuMWaiEaDD7yEYcqpKYMCwTB7foBI7ojCgq5f3gr7UHGcOIvSTERHDWpYPOLGW+iNKIBThSNC+c3fapmSrnylV5oa0PvVSB3NHldqm3zWQiaQEUBmC6D7QdhqfWJ7g7mHc88z1uGWW2Sc7J0Q9s9PrCZu+0yaCDe0ppLVo/WpeXtfBy+uMNMxOYFi7M9fTUDI4+SyuVlrSzTs3ca5/D87IwPHT23Wy5qIyCtGj0XewDTSM6DvR4yrdXU67MSyUVqQyVyjFkIxKvnYPxr2NIPomaCe+s66IJb6Z5inlaFs7JcEg/uo5CWOMvT54NDXvSYRkZZ3NrSEYdKZLcp2PdLx5xWtAvBP9OGC3akJauHRlkve9D3hJRN4nIguTruXH8gVzDxG5B3gAg1StAsYCH43+PyucVsTVzJTV2dJoOQD1wUXEqwQxXn7Top5+kDlWtzk2yAcqqikKVNmW7Zk9n8mL59Eze34sremEOUGW1Y6JZY1KTxji4USSCBDhJ/fdTmuRj9YiL63FXgK9EXxZETx3x7iF1V22Il1loQhFYeVoIHEyoohLcXujXW7JrlM4scIJUNURotPvodPXPzKTC6ufqSKxeElVLOVuKjIQLxGQgaiMxFN0lJ889eeE5xj2CN4M1vL9oTZmHanDV342RcH02Z3i8fw1ox2XtUNnSyO9bz1L71vPEmxoZ8CkGZbC7/Ewrd2ZXiVDn/bkI652knznhQ7gC4y03JeI45Wa1yGkBJVzUClD9D1EdwOKilsyBDGFgrxKRwWAXkhKRCB6GGhD5UxUBiG6j+59/4V3/AWxtK7732tm9JnDmTAniO+sK/CddQU9s+fjO+sKy+9XtN1WmupEYfGSvnGzze9h3cFurv1aqt+1LVQ5vn67OcEzwMUicnFUPWA5kCzUm67Mj4Gvi0iliEwDPgf8DOOFfUBEPiYiARG5HoPUbMtRvf8FmInRkV0S/Xse8I/ZnvCE9hwiMlpEfhfVG3tVRD4S3f6vInIk+rszrnyliKyPln9FRGZke217aysYPnfOvSgMa9GRNFGeiVi8pArvvKX0zJ7POR/7EL4B56V0GN55S3n+mtEsqx3D89eMjkV8L6sdg3fb+ljq1Hj9zfRwSFyB/bcv4oy2HpoCPo6W+BjQ5VRKqw/GkvrJI+NT1RGi3e+lzd/3ymdjcdU8tsupRJIHGNwR4r2Av19OJrkSwV++4xBTnl/B4iVVTF48z2Iy5dC6JqU8fOfN/KyojQ5fX/mww0nQHdd/h3POKeLcK2Yy/fabM07qpt9+M62rlqYt41RJw9RLbW14iCZ/RczCZffFCW4mDicfcbXqd5q211O/dQvhj3zOwRlOLourUUxAKlFPNSrnZUlaQbQzK/cCdxcRDKtr3ERdOzGMZOG4yeAY8Aa4acMrDPD7eW3YcO5++v9x8bQLqa0OMmGO8btorMaIbAJUORktrue17qO52MvhoI/3gn7mdpdyzYVjXZzB9Ic96XxcbaGq72GQvh9h+KQeAu4RkS+Yuqt2ZaKn+AGGs2Qj8HNgiaruVtW/Al8EHoqW/yyGNFZPjqpehPESzQbqVLUFY+aV9fB1on1cfwo8C1wOfBr4sYh8AfgKcDFGY18QkTpVfQZYgXFjRwL/APxcRM5ycoNH+Mto8ldkFuOORTi7uDUSAC1B9ADpoqOn334zAyYNYVbdZpg1idrRw9nw/G5+uT9AxWXzEiI7F88KxAbVgZNnMnfSDGpHD8e7bT3P3fgIWyPtXDWxnmVPPMcn1y1yoJvonLg+9VIHRRHljLYeWou8lGQRRX88LK5u4FUY1t7DgbIi/G09FIc1KzqQz3Y5kUgyURqK0FKstBR7GdDtzo3DhCfO6tdfWnT/41tZNrmOuTNmsLa6nbvjFp5EI45UHcprFrH3K7cwLNzDwdIiKjt76fUIHX4v5T2Z+9D9oTYGHv4rny4Zw2Uz/p611e3cs2EpRetXp3z35TWLWDljCJ9Zktu0vWD4sU+ZOp6OP2/k3TI/ZT0RBnT3Upz0HXmj7gLpXGqMxAon0YcUxbLaMVybtG1HvdI04BhL547loXcy9Un9U5FwhyzCMy0Iq2lcyJzQoRPId2pUotbhlpgvrehhVKoQPWiMY+IB8VI84tN8b+Hl3Pq1b/DKq29zy2c/ycxPG2mea0cPT4y7mANbEjI8d2H4t55oqhCF9iJ6iH/91p1G3EJYGdjVwx5vl0st52iwWd4TKuQWqvoL4BdJm38U/aUrg6qGgRuiv+R9P8OwvuYDPwC2YwjzLhGRGuAJ4P9le8IT9jaKyGSgCrhLVRX4z+isYSGwSlV3Rct9H5gnIr/CILdjo5Fuq0XkVgxfiV+7vX56NwGf6xdaZSii76FSAVgnHTYz7zTv3MSsycCROnjjZc4uK2JJ7Rg2Vh9gY9R/ddaROp6L5ogft72eyqmbGDh5JnsffZh13UYGquU72nh823omzDk/qbOxqp8nSiDSlyuvWcT+3y8AoDisFHe6t7bCyWdxBaM9QzpCHCgrIhiK0OsRVxbXfAsTOZVIAtNloJf95UWU9YTxqllHF1G19JFXbz8f1f5QG8/d+Ajjxj/MrGtv4LsV8QFMSiaSEqio5pkHx3PtxIMEgOFtPRwO+ikORxjR2uM4sO6v+5rZ8f3neO/h55m+oIYdV9/K2lkLEmTwLhqrLKsdw9MXftx1O9Ov1CSivcjDwK4wHlUOlBUxrL2HQG9fOzwK4QzzSWMwPvksrlZpcl/wtDOsy8Nnqsv5/ZyuDH3S8bS49h+Bimp++cxtRtrrqKThpY/tJbzm3sSCGuH4ReCXAu9Gr3kset1BwBGS7+/ICReycu6HABg45qzY9spQS0rcRaIux/FMFJEBqobfLuV875LzuP3x3/Xt8xrjanmNEyMOnIL+racsVPUWEfl19P+/F5EJGIkRfpT+SHs4Jq4i8n4gXqeiGPgvVT0jy2t/ENiNQVhnA38FrsfQGvt5XLlXgPnAeUCbqr6dtM8qiUYKpnlKMyQdMOE8MCsBUozKiIzFzE6veecmmrbXc7Clh6NdYVpXLWXW5JnMnWF4Pzw975FY0Mi6HTCnvoFx2+tTtDWfu/ERlm37JZfclenKHtJnWzGweEkVa36fsVhGhD0nl8XVRGkoQlFrD50+D4K6Uj4w6UP+iKu7pfuiiFLWE6Yp4GNIR98Ew43frumekItAunXdB6Pv6iP0LHwQYoN6erH5QEU1X7t/AY1XXx7bVhxWzmx1v1LVpb38MdTMn3sjbH28nau2z2fK1PHMmjyTAV80vq1jdZvZe/VXYhPAdNgaaWfc9nqLVM32uGdDJ7/5wMV0PL2ZEa09+CNKUVg5HCxiZGt3bJLgjZjP28m9P7mI67G6zXT4PHT7hJDHQ5dPUAkzthsan1jOyqtv5cbbb2bnijWAlaHgJHQVsIFJWu+cUsv+UFssre8PJgZZQLI/bxeGJe84tE18oEWI7gW8qIyMKiSYKb77xrGNew8wa/LMWJIWO8ydNIO7E7acTCL9ISCCylA6//xqwp79oTaattcz4fPBjEYcOI4JFQoADMIa9/+XgZf7cz5HDE1E7ga+jDFNMXuBIcB3+nHtKgxH3X8GrsXwsXgGwz0gRWuMVA2y+H1Wdb4GuAagONqJ9EnWpEP/Uk9mwsa9B5gC0axUh/AEgrR6lfsf38o0TwPjxhu54ZMH1XXdB9n6UmrqvnXdB7l8m5PkFD6cBAnOHVXKGodtSYeIZA6oOVHwRxR/T9gwULhAvt0fshleB3X18nZFMd3ecMpStBN4XLgnOMW67oM8f81oLom9SEo6kjJ58TxmHalj4Y7MRNIN9ofaWL6jDXa8wAj/VqZ5HomrY26vFY9gQztvXzQEjyr+6DcQ7I0QDIU5HPQzrD1keNc5UBYwSMbJZ3H9y9sHOFzqp7w7TKA3wsCuCP6I0oPRt4FBXtdWG6s392zoTLJOHl+LqwBqqdOaHuak6tcXfjzW95r/Lt/RxgsvPcclH70m7gi3aUf7B5UhGPeyPK5tJnFNVH8YMGlGCmnd+6gx3lROHQ9YZZE7mSzjhq+td/4t7Hr8K5YlltWOcWDEAYPKuBF4zA6Thw+ImwTKAAAgAElEQVTmg6OtV2CT0bs7f/Jpf2tw+kYuwND5+jiwQVVHALdhTC/7g3pV/bGqdqrqIxiMsQoLrTFSNcji96VAVR9T1SmqOsWPxIIlMiNLi6tLmNbU5nA3HZFQTIroqZc6WG4zgNvJFO199GG889IHmRi3Nv2yf3nNIuqum5+p6o6Qfx/X4z+Q5zJrlRWyifL3Kgzq7M06UCtXAVrJaF21NG7QTD/4rZwxhDuu788cODPM78tt+uH4b25jY4cD/0ZD4/TXW+sYFk60VA2O+uy2RwMEvZGoq0AaNG2vR/Jq53ePkvKzWLlmHYM6e6ns6qW8J0xRpM9JZV33Qe5/fCt1181n1pE6pjy/ghc+8FrfCVQ5roRI3GqHGCivWcTX7l/AlOdX2L4z106cmkAOj0tgVjykDKQiiZD3EVcz2GpjYwdN/oqUlYP4rINbnmxIScYhevJYXA3dWiMltVUWx131gnfb+sxj4ampKHBKQET+V0TeEpE/iMim6O8PImJv5s8CTnuOcowItb8AE6PbVmHh5OsCbxJn2hQRidbn11hojUXLDxKRSot9aeGPZsdwkmlKNIQ6EEB2C7uPKdmnMRvh9+U7DsVpWNrBRyZXgQlzgrak2Q3y7QsajxH+stgv38g3Gc+WRJb3hBGUg6V+18TXo0bUfq5x/+NbmbzYTJFt/zaU1yzi6elX5izhQT7eu131knZ51Qr/t2UzF0cSI7FNKbP3gn6DtjnUcjWWnd23Kr02Z/aQQWM42tVDeY99UKBh7T7EHdd/h69//wUWfulbcSoPUdJ6EgfGBCqqWbykillH6vj699MH8K3+WHz+xeNrcbVGH3E18eJuYePeA7G0xGBYV9d1H2RrpJ2nXuqI/ZuoxhE5jql5M8GQGatNY8Fs3rmJW2YFMiiKRBUFTpaAs78t/APQAsxS1ZnR38Wq6tzXygGcvpGbMYiqD/CLyN9jBEX1Zxj/NTBCRBaKSAC4EUOm4UfA9SIyUkTOB5YAT6tqO4YCwb9FtcauxiDUW/tRBwvkx+IaTyzvfzzHVcYusUE8oilf01gMV84YkpO65NsX1LzKUF+QaZ7S2C/fyDcZF4faninHAWe0GcvPLSU+VwFn3jxZXPeH2uLeJ/s798yD411ZQE8JaIjD7zUxPJJqqSoJKyW9EVqKjX2ZgvEMOa4w2bx5PbPn0zM7Nyso8fCHfs0nAs5qFD8h2fRdZxb4/MC5I06gorrPfeVL38pYPkZsNYyztNr5RmrEX7ChPWZ1NV0GtkSDf/eH2hJ+iVJnJ4nFVcMYY3MxlaEWy4nu1kg7TdvrmTuqlAlzgml0pY/Pqmo+ICKXicjuqCToT0VSU6fZlRED94vIMRHZLyLXxR1zjohsFpFOEdkqIuOyqZ+qRoB/UtXurBvpAE57j38G3sPQ+Pgq8EPg+xhkMyuo6lHgUgz/1oPAJ4FPq+qvMMhrPfAHjLRgv4sethi4AGiKXvvTUYmHHCL39CRQUc3cUaXMHVXKlOdXJHx03ohDq0sGND6xPH0BEYyP1dpdwDtvKU9Pv7Lf9YC+ISKfngJehX/5xpVcueVprtzyNJevvJ5bpwzNq+XVF1F6Pfmjrh6yTwpgWvMAV4FW+WzTsbrN0YHDnjRk0lF1i/6F4djDTXAW9HDB2WfxjI0fbXl3mPYiL21FXkp70kvUhbNsTaCimuevGc3z14x24EbkHCXlI+k9vI9fvWbpoZUWfX3UyeQ3mYjymkX88WeLuPq/v+LKfcW4xyeLJdl4Z6bffjOLl1QxYU6QxUuqWDljSEwD3IixsJ4wJhowThLiGiWb3vm3sPhDn7As8f/ZO/f4qKpz73+fueSegAkQQSGCUC8nSEOjWFEqhaN91VJ4Pdp4aY9CwAsivhaOGFEOKhGPaEVEbkE9rUejHk+oCq3UiFKwIjmkSOoNBCMCJkCEXJnMZb1/7NmTueyZ2XNJSFt/n8/+QGb27Nlr9t5r/dazfs/vOehs5ZNdwvHaLTw4/kzOm5JB5xXXhSGvJ/saxQ5vQYGXgLnA6WiNeCiGfaYCE9FWqi8HHhaRIu97vwHeA/LRkuNfivc8lVIfR98rMZiadiiljgD/5v3zS7QfJGEopT4ksEau/vpDBF0Q7+sNaGQ3Llw4QgVZffQMRs8uCdtZ2DwKdxKIw9Zn60gf9MMoGjyduIZGBGpu7sc1y5MT+dKjrd0ZoRzZJ4Vq1ynMfu6ItwRuERNvmclNq5ZrCTndAKt3Wb0722XzKJwWwRpHopVVwRnfnojp3GweEq7AFR3GdHLs/ffwxNzgSoO9D+b18RosYy5n/58qwhb8THd5aLRodnHprsjE9QNPG9aUFDzO2K7R6NklPpeGmpUvcdGGAlP63GhY9eBPuHXmxrjuf00/eRq9rmoWGmF948b9lE6fyjXFsX/+3onpPPwS9A5CpLjnX4p57a4SNtuzmDZKi6C+6C2mEW2FQ8tz0N0Segtx1c5jzbZZlEeQFW3ztDF2x2YKirpqE9mGTIIAi6zel+xoEpOAHV5Pe0RkMbAebVXazD43Av+hlDoAHBCRl4Cfi8hRoAhted8hIo8D94nI2UopP3F670HE3sNbw/YDEWkWkU0iEktpil6HB8efeVK+9+mL+/NExTbDDiNZEa9tnjYTy4LhI67JirbqMJN4Ei8G2bM46yc/5c3f/AF35WJ2LK1k6ZNHeLtfkS87tjsgdH/UNdHjx6qG1L4v7q+LfvwhkwhX/OLpi/snTduqQ2LwwjUD/wi+GY08wIwRbThd4fXkAmR1uunjcEe9Vm4BS0psSSTZhbNYlPkZ5TWNlNc08uLY6/nVE1NjOoYRqt9Zzb+VzsYex6RKhxb96sniA9FR/c5q8t+bakoWEA6JluZNphb5R5eO5j+fqwK6tMblNY2mExPLaxoZe/893r96C3F1cVZRYdQcDN0WCzTf9AtHKNoLe1e52gRwHlDr93cdkC8iWSb3CX5PtxMdBXyiL+97l/s/xaTVaCSIyAOJHsMI0SKuq4HNwDTgl0AF8KPuOJGehvkqKIGwlswLNZ2Osn/trdeFHaCTFcU76GzVZv0RvayME7TScwqoOlobunsC6Eo0Sv7C7d2lY3hG+uA6cRgsp2rXsG4Zj7w9j5ppZRAlmSIR6BFRezdZfdm7mRgHo7uJuIbQ+yA9pyBpDha9CdaSebz73DRS3JEjqXkdLlPP+yFXO1Z7P9JzzEdM1z01kvUX3Ov7u8rRwJKNS2Puu/yRXTiLW0adjzPNht1jrgKfP6ak5gNKm1y/VEZvibjWvrWEa0aFLPrFDOuHG4i3Fx97/z2ML8gwsAyLDzUb3w4b7TeLpy/uj7aG3FuIq5uU7X+J4ouj4ZNdwrDaLYy/4ArgENAetNLacxHXP/x+PfPm3m1q346ODoBiEanxe3m1Umq19/85aHlAAHijoy7v660m9gm2FI3LajRGTAQeTMJxAhCt9/gBcJ9S6q/AQqAoyv69Ek6vDDbX2ewjrLYhk0LrMgPRiNbQ5T8P+561ZB7zKxYyv2IhY++/h7H330PNzf1Cigb4Q/NzTE5md7QELSU2RIU++pGiMdqAEzt0Y/tkY5A9i4JpZfzpfTvBJNxduZjX9kf3qk0E3U0se4ZIdsHq/b7uddwNjbh2XnFdUhwsgpHsqdIYS2ZMUfyNM4axTzqjTmzMXmEl0CcrPUxfFYqx999Dy8p5IZG1OSuq2ThjmMlvDcUbN+4HoNMqcUVcdbnFhSMUiUoFwifdxI5riick5TiaH2rshMhaMo+5n61h2KJSam7uFyUb3tzxkuF+8uLY68n6p5nES1ytJfMYe/89CbdHxxk/vpj9rg5T+27ztHFsx2Zync1hHAh6jrhec9ml/O8f15vaHltwH0CNbuPp3Vb7HS7AElREUtCiUd+a3CfYUjQuq9HegGi9h1Up5QRQSrXzt5qKh56dqxHW9JwC2gszY15CeHfxZCC8tVXNzf0YtqiU4o1LWZT5GU9f3D9itFVHsshKVzJM2G/CSCowbJGxzrCseADXb30xrnPpDmN7gJtGZXDHlsN0fPVHjKLHj7zdETFBa0pqPhVrFsb9/akuxQlb90WLbB6F06r9cD1h8WUheROn8AilkzU39+vOLwSSb5WWURd9UrRn6hW+GurJgEfAnpJqqq/SJQLhXEvqp10ZF5GYX7HQt4zutCa22qDJteKXClS/s5o3btzP78uKmF+xMCFipPfnyYA2vsRGiNJzCqi5uR9zVlRTXtPI7B/+jHVPjUyIlL/mWZ0Uv+kqRwO/ffgM4kk2m1+xkNc8q5n2wp28ceP+pCQHnl3zuumCNrpcQCuXrEkGusMW7iTgUwKtQs8BdiulOkzuE/yebif6GXCOiOZ75v33LBKsbuVFt4wsvWO9podwvHYL7YWZ2IZM4sIRKoL3qfFvrXfedxtU7cgunMXsH/6M8ppG5qyo5oHbH+PFsdebiipZk0Rc965aHkXnakxcw51jwdr1FD93JK6oa3dFXIfdMpOPqtoJV1AhZcNLYa2xpqTmk1q5hp++MDjuSHKay9OtxDXN5cFts3L36P7cNCoj+geSgO6O8iqxIKor4tqdMgFR0NeWRlnxAG4aleHbEkUfv2SPcMgunMWi2iPY/Mz4E4VCsKemmfrudU+NZP0dz4SdKJfXNLLuqdg14PrEVgEuS+wR10H2LF/UOtfZjCh3XN6gY++/h1tGnU/p9AWUTl/A5muv57fn/ldc5DW7cFZCmtZgaIb45omrtWQeb667LyBD/qCzlfppV/KrJ6bG1ab0nALmrKjGI8lhC4dWPUCsE4zqd1bjKJnuI+Ol0xfwmme1n2Y2Przf2B5TFFn3XjaOuv7NJmetAy4RkUu87gHlQHBkKdI+/wXMEZFcERkD3AC8qpTag+bRf7fXmvR+oM6bxJUozJT1jBlRI64issG7/R5I8ft7g4h0y0l1J3Sx9vgCzcjY7Eys9q0lvv9XORpCHsR1T40MGDD0Sj1mkCxnged3tkcpRBBK9sK1f0pqPpPv3IW7cnFcUdfuiLhOSc3n7X5FtNQtQ+tQPaACl6A7musZO7XQ8PM/+fBNHi5dQEvdMlIr18R1DnaP1i5nN3HX+38wgNHnDufrC37EsFsSqe9hHt1JXLVIoQX/iGt3yQQAzrCmMeGSoQy7ZSZFK19i2C0zGXbLzLgnKv6OAq6vXo+47+y7+tFpTV60FbSI62l5fSPuk104i9l39aN+2pVR+5yWlfNiJkX6tXJZBIuKPdoxxpJJwbQycs8f6bXEij3iml2oWVT546CzlTkrqnnjxv0xt+m35/5XTPtHg9b3RydE6TkFPgmZfxlZHeU1jRRvXMq6p0ZiLZkXkyzizXX3gfcsklEopbzyz0jeEFP7pucUUP3OahYWjzeUqcz9bA3zK+Jb6Rp7/z1aCfEYosh6Za3jtVvIdTabltr0ZiiljgL/imZdtR9oBB4RkV+KyJ5I+3gPsQb4C5oG9r+Bu5RSu73v/RK4Bs1qdIL3GMk450ei7xU7ovVBU4GXvVslWpJWpXfTX/ubwvgCrWTc1YMzY7qhg7VQ016407dUlV04iz9ccFXc55Qs4nDQ2RqxqohRxDWcvvX6rS96CSIUP3ck5P0pqfkRl2C1ikzJJUNjpxbyyNveVRGfL22oXKBgWlnIa1NS8wNqij9cGl+0RdDsjLor6lq08iXyx13Jy3X7ebtfkWnClchyePfragVd45qeU2Ciylv8KJz4A6znXczb/Yp4bX8bb/crwn3BFVz59O1x/0ZmPVyLNy6l02pJKOs+GEogLS2NC0coQwJjLZnH7Lv6UbxxqanJwJwV1cy+y7yWsvqdLomd0yJRk86MMHZqIU32HAqmlXkzvmPzcU3PKeCNG/eHbV/p9AUxkVdrybyo1bDiQWrGACIRV72E7NzP1jD7hz8LO8mYs6Ka+mlXUnNzP2bf1c+vAl1k6GNQskpTuy3CmP74tKrpOQW+8S67cJZPxzq/YiFvrruPhcXjw0b756yoZtiiUqrfWR2zdGDuZ2twW8S0VAC65AJ6xbtAqc3fbMQVpdQbSqmhSqkspdTNSimHUuo3Sqnhkfbxvu5WSs1USmUrpQYrpV70+8znSqkxSql0b7WrxL3zuhERew+l1H8qpf4TLYx8I3Af8O9B298Mju3YzPhhAxk/bCDHa7f4pAPxoLymEUfJdNY9NTLh6j8pboXD2hOqjVCtYTii22RPLKEwxe3BYRMG2bOYkpofd8TLHwXTykjZ4O+LnIJWczoQ434V+szFG2E1QprLQ4etezJtm+w5HOgzggNffA7AlU/f3i3f4w/tWnXn/ReYnBV5cpUYGvqfyWsfN7Cpvp1N9VpS5Ka9hxI6ptlyr799vpbmVCsZzuTVRLnoB2cw6DTNU1PX5+ubtWQe905MN1WW1B8Tj9SaJq9atryG1hQraVF8Z8PhgU1f8Nr+NvbeV4E22TSfLvH+q9GX9R+4/TE2P26uxG136Kvzn6zE0X6Q4CFVv07zKxay+fEChi0qZc6K6qh5D7qNWfHGpVrhgChkb37FQqocDXR6J6DWJMydHFYLQ0/tz9MX92fdUyP51RNTfePd5sc1fe6izM8YtqjUMHps1KY/XHAV1d//NKbo6/9bWR2Xk8snuyRA69qF2O6/79D7YHa0egGttOpNwHXercT7798EqhwNbH22DuuHG7B+uIG9q5azd9Vyg+iP+bzkKkcDt4w6n1sStFNJc3notAquBCeBg+xZPLDpiwh7dBJcfMA/CumPW0adz/CjtTw79IChk0KVoyFiR/XvI/Ow5WQyq/wWrnz69oQJ2CB7Fq/tbwuwBFKSiahQx4aWumUBRLmkSlvinV+xkOp3NL3V8BjtvyrWLPRtD117IR12S7dk4uc6m5kwPBeXszOmzyXih5ru9NBh6572aLCg107vaK7nstV7uyXx7NWaajbVp3CooZ0Pdotp39VIKK9pZOuzddSvLY8Y+UpJtfJuP+HU1k7SYoi4nrAKhzNsOKyh5zrInsXHniyKRv/A95ruhmIbMslHWmOp8ASw/o5nfMvR0cjrhL+cDYDDKnTYLfQ5ER8p/2C38MjbHd6Vjk60Sac5hBKPUIyxZFK/tjyCxr+rXzdaQYoXg+xZ5D9ZydaHHsUoA1/PpwCtHZEcZoKxzdPmu/eirVJMPKL1Z0czbPQ9Yc5qLRoGDD+dMWedSZM9J2Typwd+ju3YzCe7xHTgpsrRwPo7nmHikVpTE6fswlm02y2kuTwxk3H/c/JPrBTlQEl03fh3SA5EZJ+I7DXYPheRP4vIQ15trWmYJa75wENKqfeVUtv8t9ibcfJQ5WjwEdbnd7ZTXtPI1YMzDWbpoU/IktuSY5vij7LiASy5bQJP3DaB4hw79rTEkkhuGpXhTVwKB+MBQ2/bvpkvhxCKcMtzTotwwmpso7Rq53Z++8tldKR9n188f4T72s7i7X6JOamNsWR2yQR8yACM2/v+o0sBjcz445ZR59NwlzEBcQu+iIU/Vu3czk9fGMxPXxjMhL+czdf/9x76p1rpNCAbieJ47RYmjDgd5fEwrmAAEJ8M4FiqlQPZKXybZsUZRQZgU5omOdp+8cOrR/Yio66NpX/+XdK/pfi5I3i2b8Sy/1PfQKVHXROBPukNW8BEHcVl+YZr710UE2kF6LBb6LRa+CYrhW8y7QGmYf/vnd9x4OuvOevscxhfENg3nDclg6sHZ0ZMxorUnicqtlE/7Upm39UvYpRS9xU9lqYRonjj8hl1bdpqifKgEbzQ6n1GiDUbPHLCrXZt3JWLkzJxKisegPuxCi9pBSPiqq/ojR82kL2rlsd0rQ46W33k9erBmRGJ3t5Vy2m3WXBahBxH4hH/md/vx8FjLfxw8rWG7x/bsZm9q5ZHLB0bDjp5PW9K9PHuvCkZtNmtZMa5iqG7CQXiBBBbUY940fb5Rz6SH21r3/dJj5zTSUAF8AWa9PQKtCpeXwFVwAPAhcCKWA5oth/6T+COWA7cW/H8znae39nu60BCZ+nGg/djZ02nrHgAq3Zup6x4QMIdX0nV66y98SmutszgsbOmM/imu8g+N7FKukUrX/LpUo1hTFx/8fEN7Jv5Mu7KxWzOMVccrSndxjdZKezPSeF4qtVHYFft3M6EH89g60OP0nnsKxwHN7D1oUdZ+mRiUY6xUwsN7IjSACcYeNNufehR9s18maLL5/j0rNF8br9Ns/F1TgpH0m0+e6j8JyuZ8OMZtNQto6VuGe7KxTx+97OMnfwvFBckw585EMd2bCbP1UJqaiqdnVrU9e7SMQH7LLltQlRLrw67hXSnB7cIB7NTOGFAsnUJR1nxAH7YN5UOe3fJBQKlAq6vXk9q1Au050kjWVbczlZcX71uyr7KLKocDVg/3BBKHpQHUYcZPf1e8gYOivm4TouQ7XAz5LgDm0dxMDvFt/Iy5WczaO9zJna7RvJ0EqQnl9avLY9boqRXVJp4pDaqhnL6qH502Cxkx0mImrbvwvXV697VEm8fZFL/bhsyyZRUQ0+iC/+MB66kPfjMXFPfHwlrb3zKj7SCKA9KuoirTrrHF2SQ62yOKdqqQ0/yrV9bHpbopecU8NzONprSbaYLW0SCAn6VPYEO6wha0nPZtPdQgPQGtGv6yS7xJUHFiipHA09f3D/iPtmFs7jnglPpsFvIcMYnUdGfD9+4qDxo92DPENfvAMDtwDVKqXeVUp8qpV4H/gX4V6XUH4FfAFNiOWC0kq+fiMjHaNUPHhORb/XX9C3Ohpw0HHS2Bsx6n6jYFjRLN5YKbH3oUabuO40JP57B7MzFIWQiEpyWQJ/MV2uqebh0AVsfehR35WK2PvQory5/g10HjzDz+/Hrr6KZ74tyoiSUuOqEzCwU0GGzcHqzg/w2Jy0pVo6m21i1akGQ9CADaAOlaKlbRlnxANPfEYy+o8eFknIRNN9k4wEhuE2RytoqoN1uYWCrEyVwIDsFDwQMTDo6mutZ/78D2TMg+d6AernCVLudjDaN3PknB5UVD+AXH9/A/ymPLHVwWYSsTjf9Olz0a3fyTVYKHbaum7CseABjpxYydmohw26Zybir/g+npHRX0lSXVAC03y9lw0sB5Luk6nX25JmLyjstQmuQVKMr2c4KuOlorsf11et8sFuSEnUFLaoVSh46gFR+ct5gILBgx5LbJnBgaGSvUJfFgt1rn5XX4SLT6eZATiqjJ12CqGN4vtEGXl0XrJPXqwdnhvVrjQXr73gmains/zlrHNmd7oS8E7skPuZlAjrx2/psnenvqV9bHiYyGdiv39d2luljhkNo3xAYcdVlAuOHDaR+bXlCch494m/UttGzS9hNBwJxEzzQVpu+TbPyVZ9UVN0fcbYcN9SH5zqbfaQ1kTbV3npdxCjy7Lv68dct1XHJBPwROPHRJ07/UE6gJxsuYHDQa7l0RQntaBfGNKJdvVuB24AZwHhgst9r+vY3jYPOVp8+qAuRn5KWumWGmetGcAscykrl65xUOrwJMEWXzwndUSy4TtioL7oo7kSm0KX0YJgbNHRNaDg4rILNo7ApSHUrBrZ20mm1cPn9vwH/bFaxo4ngTwBaRDheuC+4wvB1JRmGOlcjRIpOOS2CEiHN5aF/u4s0l2LkTeEjUe373uLT+gP8c1rkqEGs+GSXcLx2C6mpKXR2djkmlBUPoKx4ALMzF9NStyxi+U+f36Y3mSHT6WFAm5OGzBQ6LULFmoUUrXyJgmllZN+6mLf7FVF49c18kwGTU+OfXIRHaOWsjuZ6JvzlbN/KhVmXh1a7RZNApNto9C6tB0afNeKqQ4+6mvFhjYbnd7aHRIm0e68ryuev5Z78SlPUMq1Oq2DzllAV4JQTbvJbO3lly5dov1t2CHm4cIRKmAjp0CPJYZN/lJsP//gH+pwwU2zTGIHLteaJq23IJNoLM01F9fyrmxlHJrucLcB4Qpo4AiuC6ZFxiI18G0G/TudNCTTTzy6cxYPjz6TDbiGr0x1XtFWhTdQPZafgFk2nrSwFIGk8XLrAN/HTNePHa7ckTFpBk6GFiyJnF87i6sGZvPHbZ8nsjJ+MQ1cwQEPPyQR6GiJyuYjsFpE2EXlFRAwr/4bbTzQ8ISLHReSgiNzq95kHRcQhIie8254YTu1e4B0RWSkiZSLya+Bd4NcicjrwZ5IpFVBKvRdti+XLeiv2rlruN/Mz9+gbks8gKOBIhp0Mp5v+bU4aM+0cSw2fja4kh6e2fsnYqYUxk9cpqflBGfdGCE3OMkI0EtFut5Lul11sVfDr7/XB7TxKV8lkHZmANvDcseVw1O82QuSks0zCRVz9Eb1NFjKcXR1/XoeT13/3JqgwnbMIrhNWMm8YG/W7Y4FertCm3DgcmmNCn6KLKVi7nuljlkWRgmhwea1j/O/kDJeH3A4XDVl2frJoO8XPHeGOLYd5YNMXPPJ2B9f/TzN5A/LJ/l7yMuJBJ45e4hpk0eOuXMyDz8wNiLRGkuA0p1hpSrcxsLWT05o7sSjFgZwULr3nZb+9uohrNNIYKw46W6lfWx5E8tpIyTwD0CaOupbbf/IXTh/vQfNptQWNy2luBdIPZTkdJIWHSxeQ62z2Jfk8OP7MpERbday/45kI2tBjQBY2g7m82RUU34RRKUS1Ga76BCO7cBbthZlcOELFTJCMI8ihK2nJz1vo8qfNLpzli7bmOpvjXlL3x95Vy3lw/Jl0XnGdz5pq9l39aFk5jw6bJg3yR7QAhI42uwVRMOS4g34dLl7f9nbIPv6Jjsd2bE7KpAkIKxd448b9fDCjhB37jwboW1+tqaak6nX2zXzZ9BjpP3ESdeLvMjHLW2zgJWAucDraDf9QjPtNRVtdPxe4HHhYRPTOeThwlVIqzbsNxyS8tlsXoelaB6M9KNOVUovRCMMNSqkHYmnvd/FyCKpFnrzcaodVcFiF3A4XGS4PpzU7aE61gmoO84lM1DrGEKAAACAASURBVOE9cMN9XPn07TEtrV+/9cXIA7XyoN0viduAOGwS0kkOf24DSgYgKlC7qCQd8VakizfLe4wlM8Jn04BOUIkRrhNBHb9VgZKBiDoUQrh0KMmg9nj8kSgj6P6DKTYbRz/aRp+ii3ltfxtXTV5kWs7hFs3LMbhIQnanm74eK47j23FXLuajqnY+qmono65N2wYO4cigbrCq8i3Lhf6Oeta6jkga6xM2C1mdHlLdCgvQv91F3xNuRNWDOuydZLQC4rtmulwgWdj6bF0XyVMe4AT2oTey9MkjPv3zktsmBEyUJr/SZHgs5T2tYEeBSOT9whEK64cbkkYcQCOWxkmqIKoVJX1CSMK+mS8z8+hFpo7vEhDPl4j6DG3Iia4N10lrcFJaOPQdPY6+o8fRtH2XsRbZqOzwZbNNHdsUVDNaNK9Lj6yfe7Ki48/vbMf64QbunZhO5xXX+RL0Nj77ER4JtItatXM7D5cuMJWL0ZJqJcfRpY0NDjD4J/xu2nsoKIKZGIzkAtmFs3jg9sdY/nEb6W7xyQTKigf4chbclYtZeaE5b/vNqhXUt4jnG6AZTcL2d4dJwA6l1Dql1LfAYjTnp1j2uxH4D6XUAaXULjSCq1sKDQViibL6ICKzlFK7lVLlSqnblFK/AvaJyB+VUsfiCYD+wxFXPbFFX3rNf7KSya80aZEs5UGLDsbn7RoMgYBKMzYF+W1ORH0D6kSYTyhKbnyS+9rOomDtelNRgbLiAVx0TbRInNd0uRvKsIJWBx2y0JKluuQqohzoSzN6xChWVDkawn9WBKOl6KRAstAGIuNBR1Q7I7OT/wg9v7OdjqYmbNb4vGJT3YoMp5vWlMDPC5DZ2gG0k5oeeI8rpfh6z2eclWe4uhQXju3Y7OeTbHzfBZPxSJq3dJcbZxDJy+50o+QMRDkRdRRRTSgZaHifhysFHAuqHA1+PrQuwIb767d8VbU6muv5xcc3mDqWVUFeu4tjaYGTyUgkJ5kk3B+GllPKg6bhTQ+oIHZg6GQTqzsaXAIHs1NQkoWS76Esg03pC/Xn3azn77Edmzm2YzPP72wPuu90hP5uCfsJq8OI5yvEsw9RjSgZAn7R5E317Tyw6QsKppUlxcXgoLOVvauWc/XgTO6dmM6D48+kfm05W2n36aR1hLM5NGwGgb6vwRXK9N9Sl90EBnoSh5FcYIwlk9NOtTF+QNfvOX1M4Bj3xo37TR1/V0qndwJm916j7iuAchJxHuCveawD8kUk+MaLtF/we39Fi7SCRlxXiUiTiGwTkQtiOLdbReRB0CK+IrIMqEGrDxAX/qGI65LbJjD5lSYunbeOqftOY+q+04K0Tq1AmlebmTisBqVch1oyUZKPqAMGkTzNGPlEy362PvQol63eS81lsyNmkC+5bQLTx0TWPCYbFkVIOdfymkYvWcgGWvzeaUeJ1vEtyvws7u+MloGaKLQStYGNGnv/PSjJQYwi5MqNLdXJtheSX4HnoLOVYw4PWx96ifq15Vw9ODOmkoUCpLkUTkvo420BZNztOK0Hcdav873u6ainb1YWGZ9H8gGODU3bd/lNOMz5I+e/Z1zJDbRCHYaWXZKCsgxCWQpQljNAQiN6iRbU8EeuU78ftOe1o7k+4PkLlnOsuzY37LHSXJ4QMg6BBP7dxYEJXsnQ6wbD+JhePaBfpvyS2yaY7ms8aKS1j8PN8Kb9MSXExErQm7bvomn7rgikP/T+a1kZWwUnf5ywCnb3YZTkoiQfJUN9hEiXkuhewk32nKRMmkCb1NavLfdJEJq276LDosJWa4vne/0tEPXS5hl1bbi+et2nd02mD7NRVP3Kp2/nq/6D+en9D/ui/cGT3GhFKUCbOHVaLSg5DSQPelgm0Pr5Tt+kKtrWtvdjgGIRqfHbzM5AcoDj+h/ealkuQpc3Iu0X8B7aQJ4jIna08rG/Bk4DngPeFJHItai7cAkwUUTWA7vRSPAPlFJx1zT/hyGuS26bwNWWCPeAUt5oTZ+kfadVeZdtQ97JQfvpgzvZQA2qu3IxD5cu4KcvDGbVzu0By3VlxQOoWLOQqy0zTC4hmy+sEA1GJE9HANFTbrTBL530nIKYjdL9UXvrdTGXCvSHf+lKIxiRcc3vNQdo9Uaf/NFKUV4ah53Js1zyhxPFRsdhzW8zyAonu3BW1AIKNo8xIQLgtCLIyOVE805fpPBEyseMveSSML6H8SHwWInff3a3wmngHRwpSutPsvyjhongeO0W77K6EzOa8UhVrezecrvBZ3brB/f6/r/+jmcAjQjpUa/uKOAQSkjb0Vw7uqJs4WQPRtAm7UIfr41WLJ6svuieM5ysKhCf7JKQezfw+0LvP/+EqYYfPWv63AC+TbdxSodLW5WRDB+59/9OXYLzwKYvGDu1MKbjh4MuJbJ+uIH6teV8sks4YVHYPV39k/8qnbnvDX3mrSXzAp4rvZ/4YLfQd/Q4xlgyk3IP5p4/kvHDBoY8w2+kjWD3VwdYffSUmGVz/mhJ1Txg57Z9k/C59hBqlFLFflvAwOVNbnIFb2gawHS//VK8r30bdPxjEfYLeA9NU/GtUsqplDpfKfV7pVSHUmol0AiYslZSSjUBE9AewM+BnymlEjKtPanEVUTmisjXItIqIu+KyNlRMtuGisgWEenwhqvPMftdNZfNjkLwjqH9rsmLzOhSAXdwvyCCklxEBQ8CTowyblvqljHhxzNIrVzDqp3bKal6neljlvHTFwbHYGNlnjhEI0ViQPJAJ4cZgAvUUXwDn1gYPbskIZ3X8zvbuXdiegSrm8iIVt3MGo6Mi94ftAS8nPe9fOp3x1/mNxqUaL/zQWcrW5+tY3xBhq9GuBnjbrtbI0RGKPvnDPjBDYg6Qsdxr2zp6x385MLRSUki8YdZjaIZWNCep+B2bX48+bZk5uDCrJF+OAjaykxwJLnK0UB24Sxq31oS8plkRvBAI8FGEWlRHSgxvn5moq4e0Sa5Os7/OjTpJxx0omQWVY6GANeQaLKk7MJZvv335BWZSnrU0WETzX+30x3QV2YXzvJ5gusRypa6ZXxU1U7BtLKklL0GjaQf27HZpzXtsBAQcfWXqvhb6UVG4O91d8WdIf1MR3M9GXVt9Cm6mHNGqqTeg/p36cT/mcc/QHky+cvT/819bWeFyATMQKGVKc52uBMqyd6b4NWJ2oI3YAvgP0s5B9itlAq2Gvo0wn7B750L7BSRc0WkNOg4dvSs6zDwt04F/hc4C63YwN5E7VRPGnEVkTHA3Whh5Dy0krLPEDmz7TfAe2iVvP4bTTxsCo/fHWFGrZyIOhxWG2cEsyVDbQZyAQ05aElFXfeVqE5UBJnCw6WaT6ouTo+ls00mtOhkaJsWFo/3kvICRLUg6gBKMhl7/z0JyQSgy7YsWqWfeGEUcQWtTKySPoFyAeXG8eVfE/JMjASFT5EMdCXPtBdqm3VucB8SCqu3PUZnOPFILdJnEEr6IWofziObwNnO6e2Hk5r0s83T5qcj1CZO6Tnm6smHQ4rbE0LyrimOrANPtjbv2I7N2IZM8voiJy4rSvFGkoNx6wf3RvQe7lYohX/Ete/ocSFV6N5cd1/EQ3hEAojrQWerqTKf0EWMzZR7jYSuey3w/pt9V6hfdv6TlaaO+W2anVNOdDmQzK9YyPyKhax7quv+6iq4oP3/tf1tnDNSJSVKqVdy071UT4gKSMzyHxfC2Qia+Q590plRF1hqu8meQ+75IxNuj/9nxxdoNl+2IZNoqVvGifpXcbstdDTX+/zOY4We9JjqJfWJrNj9DWAdcImIXOJ1DigHXoxxv/8C5ohIrpef3QC8iiZ0f1JEfiIi6SJyO1qE7cMo5xRsnVqKZqv6SxK0Uz2ZEVc32visZyZYgSbCZLaJyBCgCHhQKdUMPA6cISJnhx46EKcPyIkYIRDVgJJTkq5/KSsegFUp3IaRvKCoq1KAg1hqeMcK8X1PYrAo5cuI9oeP9EgKSgpQcirFs+exKPOzhGQCOvQa1796YmrSO6FwZLxyyiS0pLN2UO2gFMOv+CGpbc6ETLHNwP9s6teWc+EIxb0T002RS0GbNBlFXX3XQnJRcjqdh94gv/AHNP/lT8k5cS8OOlvJdTb7kQeFbciksHrdYC2nEexu1S2ldmNBV1a1pnGNBDP3qd1j3KbgKJFPZ7j3UNJkD6DpIEON5jsBq0/v36fo4hALwGirGG7Rnit/LG3rOfLgf59Z7RmkpGtktfOK63wVtvyt2Mx4u3qAEzatuIeOyimTGLaolJaV83yOE/7jTUdzPZvq2xl2y0xuGpWcFYhtnja2edpQqICIa/Dk4rLVe6Mey6gvB73vC4x+6/df39HjyD1/ZNLaA/hIq4ZAf+RgRNKN62hNsQZ42w5d/vNuCXr0BiiljgL/ihbc24+2lP8IgIj8UvddjbQfsAb4C1CPFhi8y+sGsA+4GVjm3f/naNZYEYsGdKed6kkjrkqpGuB1NM3DCbSyYGWEz2wbBXziFROjlPKghbaj+ont64h2k3eikZPk4NWaavKfrGTtjU+FLKsHko6+QBvi2aNZ+uCi26w6RFBBJtxGMNMhhItOghZ90L/Pet1i5n/zPzxw+2NJM0tff8czFG9cSs3N/bq+C0hUPylhyDjAu49e7U2oO4Ql4ygtH7xJRruRK0Ry4d8iXS4wbFH0aKsOaxjietDZ2mXpJBlknFtOwcRrk2pzY3A2pGbm+6LGRgOImWSL8CsYkfHApi/oO3pcQtXb/BHNLUHH0OU/j/g+aNcpnGa8ytHgk2+0F2pJeuOHDUyqFjkwMq4jsFBAopFPHeU1jUHPbXh8sFsSTkSzDZnkvddsgBvbkElsnDGM2luvi/ZRQygvGQ/+9ctrGpmzojpsyVm9Lbnnj0xK1PWmURmMsWTyA+9yvT6QB0s+zNx/ohQqzH28KPOzkInmpvp2+hRd7COv8UogxlgyA6QMPoLsC+KELxQQSTeuw22RkKS15Xnv/z2T1zeUUkOVUllKqZv9uNJv/H1XI+znVkrNVEplK6UGe/1X9c+8qpQa4X3vR0qpv/Z8C7twMqUCE9Dq045GS0V/Hi1UbZjZZvC6/3tGx5+hZ+Y52w5EOZsUtOhJYlhy2wT25BVRdPkctj70KFsfepSzTwl9+HyRJbGiZARKBqMkDyUFXk1ld0HrvCPBTIcA4Wli5ZRJZBfOYn7FQu6uuJM5K6qT7jmpJyxdPTiT6ndWY0nNAxTzKxby7NDQa21G1hGJjJdOX0D1plf4343/w3+MHcjQr475lp+6A0KoIrnK0UDllEkBGb/RYFXgDvOED1tUSnbhLKwl87jrV6czccQpSSVD0LUUqA18dnS51b0T00OWmaMlz+kId52iTbg+2C24L7giKcThk13CvRPTsdpzSD99QtjlbyN9qhEi3XugTTReHHs9G2cM8xnOJ1OLfNDZSsvKeUHtUPgPD6XTF5iWR5UVD2DJbRPCUnqzk6+Mujaa7DlJmWxY+pyDpc9wzpuSgfXDDb7naPjRWt+9Z7Z9kaATfH9ypP+/yZ5DwbSyhKOUZcUDKFr5EmOnFjL0XE/AIF4/7Upq31pC7VtLTK1ggHb/hZu0l05fwHlTNH19ek6BT8PbZM/xkdexUwsTeqY27T3Epvp2vyi1B7D4XCisJfN87gaJorymMarE5Tv0fpxMqcBk4LdKqVqlVCswDyj2vheS2UZoxpv/eyFQSq3WM/Mslmg6tNhK5Rp1cHvyigwzbr8cMirktYDIkghIKkh2gO1M9yCwHKZZrNq5PWBJTZMKhB9pi96/k8opk7pNEH/Q2eojry0r5zG8n7DqjnFsvvZ6ymsaA0hQpMHI32YsklMCaMui154/kZUvf8iRzu5xEvBHNDJjBpEieeU1jWx+vICNM4YxftjAxD0to8KOpc9wLhyhuHpwJi0r5wUso0dadl61c7svUzrcdZqzotowkudPxjbtPUTBtDLuLjWVDBsR44cNxDO0kIHndjL7rn5Uv7Oasfff48vGzi6cFVF7W1L1um+wj3bvgTZxaVk5j+KNS3miYltSJ4MAT1RsY91TI32TmRE//QmX/+Riat9awtzWg7799OfJ6LmakprPnrwipu47jcmvNCFhCFF5TaOpqJe+LJ1IqWgdYstCuVp5cPyZ7F21POC9W0adH7af2JNXxJ68IvbNfJlXa6oDtOdGOLZjMxeOUH6R3i7Jwqa9h3z60HhRVjyAgrXruWPLYbJvXUzGyLNJ8/uRy2samf3Dn3FN8YSwKxh6m/TKWtHSdhdlfsZ5UzLovOI6X9Kb3hadvMb7TOkRdf8iB9oYpY2F8ysW8ppnNdNeuJO5rQcZ17w77LXKf7LS17ZI0DzHv0N3Q0SGhNkSnol2Z3gvGtrR704NLrQ79i9omW27va+fC+wEPgPOERGLUsojIha0LLWPEj0RJSneDNrYPxvtITn6yecYLaS8u3gyl85bZ/BOd8KG9jMbIxwh182s9+QV+faJ1NEle1AN9x1PVGxjjCWThtTjPFi+inSXdla3jDqfsU9WsijzM0qnG7cJ4NJ565hf9TqVUyYl0SwsObAobUncFmNkt6x4gC+aFFZf7UXtrdcx7JaZ3eIL6o/2wkxsn/fH09mkmaavnMcTFduofmYcl0bIh9Gvk37/pQ+dzFXfbGaDtBjuXzllEmOfrGTH0soQTXtGXZsm5JoIV08rY1CC5M/64QYuOfcUhmTbmXiklvUl07F62hga5Zh6mx4uXQA5Ixh+tNb0JGXOimoG2bO65fnSo67rntKSYF7/9QtsfuM9rnmpCtCi50v//DuuKZ4Qtp8IVrFHeqbeXHdfVJN8XRsKGimONBEOF/HTk6TSskbjcTQERFsjIbhfd1cupqgSzojyua3P1oGfVNafoGttORT3/adHWotX7yVlQyWX7b6O584ajZ0dAfuFO25wmx4uXYB15stkPXdDxInT+jue4cEP3+QBNI9nzWNXa8v4YQPhgivIvuAKyrZfGdOKkK7T3lTfHpRorLs7gaNkOnOiBEAG2bPYnDOCPX4a5T15RWSfqDPcv7ymkbFPPmVK05womj/dS9Mhc1ZcrUeM+7W/YXwGhnO9FBE5DPxSKbUxngOfzIjrm8CNIjJaRNKBfwf+AKzFILNNKbUHTQ97t3f/+4E6pVQ0HYAJJEcqEAvM6PmSj9giruFIeaSlpZ7EQWcrVY4GnB53iEar4a4SU7+xXpozGRHOZMLqie189EjD1H2n+a6b1RNeKgBaB35sx2aO127xLXF2hz8ogFjScWU0k+tsZuuzdRx0tlI6fQHzKxYaygSMloc7mut5NX1AxEF27mdrGD27xBf1DMam+nZe29/Gg8/MTag9e1ct5/tnnE7z7o9Yf8czVDkaohIRo+ep4UfPIkSPuOrozknhExXbaFk5j/ppV/JfL23gS3dXFGxBzaaw1fnC9RP/9vyasCszf7jgKlPn9MFu4ZG3O7h+64sJ2UmJNZusfh0h0dZYoUSQCHNJPRtf1yMDAVW89PsvklxgSmp+yLbktgkUrF1P8XNaaeGO5nrclYuxn1lIlomc4nDXyF25OGxk3L9N1g83+P7OqGvjo6p2NtW3s2nvIR7Y9IVWIWzt+phlHU32HINiE10R12irdnvyiiKWiQ6HuZ+tifkz3yE2KKXSlVIZ3n99G9oS90K0ZK+4cDKTs/4E3Au8AnwDnA1MI0xmm/djvwSuQXMfmICWHZcEmJcKJEMHdfJgJVLE1R/hOjr99d4UnQznK2sEo3blP1npTc7qPczVzPKxDqM2vVpTHTXiChpZ0Su3JBv+Po+2gf9Mlvso9WvLAwajzddebygTmLrvtDBHtUS81nNWVLMo8zNDuyN9wF365BHe7leUMEk/5fBeDu7alZAkpqVumTYRTOhMkgN9FaO8pjHEymrCj2fEXJ1v9p3hnUSqHA2mkrR0E//i545w/dYXKSseYHjdxlgyDX1F9XMWWxan2jrjirb6I2/+k0S7WnqClj95ha5KWpvq2w3lAjpBvX7riyFbzWWzmXznrhBbqEe2N5AS5RmPtiooRO8/965azoPjzwS0KLbrq9d9k4odS7VVjstW76Vo5UumyOsgexa5549k095DBuWDXYA1YeeY1pRTwr43Z0X1312SlohcLiK7RaRNRF4REcP63dH2E5FhIvJJ0Gtxe+gHw5tY/zvg9HiPcVILECilnlNKDVdK9VFKTVJKNUTJbPtcKTXGy9zHKaVi60nDwg6I1zTfPKJ1CNHQ0yRYiQ1RxsTVX8fmX3nFCEJvI3kkdD5bH3q010VcLSZIJ4S/B4sun2NYcjgYeiUef0eB7oi6Skoe7uOHOfphoLLHKIIY+bmyRCX0pdMXcPXgzBDyqg+4eunKRA3UHZs2Unfc3IQ3UptuL8zrNfderBHdyNcqtCKYP8wkaemZ5nqiVjTo1zS48IXY+9D4ZfRyxtH69M82Bvu5h0K3roPAaKuOD3YLBdPKQp6zc0aqgCz7JnuOb9tU325YlGHPu22k5iR2H/+TJTOsq4CO8ppGrB9u4IPdEjCB0T1e9dfiKa0cOiHyAFZe80RO2DQz/kaKJP89JWl5PVlfAuaiEUIBHoplPxHpIyJT0bxbg3+5uD30g74/TUSuA5aieffHhX+Ykq8R4TPNPwZGdem9iI9oWnrFsrqGFPwjy/MrFgZka05JzaeseEDEso7vLp4ccansZMCqFC4Td3K4ju7dxZN7ncbV5gmtEBWMSB137VtLTLepvKaR8ppG33J3spajqxwNXFM8gdc8q/nT0pFISysP7Tgc8TPRB6PIEVcd1xRPYNiiUjY/rpnNnzclg9GzS+i84jo6r7iO8QUZcUdKqxwNlNc08vJfm+i0ShSDuehtWvXRkV41EQTv5NRv7NL7Cf+2RGvXkGOfRuz7dGusSJEvndS0F2aS62zmk11ieH/qlbOqHA3MWVHtu/Z6H/fek6P4tt0R8VqZIUL9PryXaBZoc1ZU8/TF/dk4Yxj3Tkzn3onpIZW8klX9bPilWXxx6FjY98206VNXq6kxqnT6AtZs06q5/b6siNc8q3njxv1Uv7Nak/x8/1P+cMFVpqLaB52tvusUGnm3YM89x7TDTThkOwzztn1YWDz+76kowSRgh1JqnVLqW2AxUBLjfnnARWgr4D4k4qFvgCy0IlONaJ79ceFkJmf1LogdRX9ENaEk+qzRbLRVho9G7QyvP7aWzIurKkh86CKuc1sP+gym53q1Y49lDYJ9kY9QOn0BnGQD+GDYDEpmBiPS9fLXwkbLGu4p2D2KDlt4Nh7t/rumeAIWi/SKSN6cFdWwohqVZcdhs2ALU3HM3DNlMT3BKK9phOIJlBUPYKI3Ca1pvPZsWz/cgLk6SZHOBFJdihM2Cxmu+No0/Ggtrl5wjYJhUeD0u/0a7ioBb1tM931EnzhtvvZ63v/z77hjy2E+qgpO0unChSNUiMwkEvRrP8iexUWWTEocDdizU+i0CmkGCY9m2qRfKzMkT098nOj9++qLL+YOAidtY6cWsq2izUfEP9kl5O7YHFOy5L3nD+DmMIFJs206nmqN+ZnqQjWD7JokpDKOCW95TSNli0qxlizzjYNnX/1/OfBibHpqIwRPvoJx0NnKa57V1FQsZOmTR2I78d6HYP/7OiBfRLK8rk1m9tsLlIrIpcBKv31CPPRFRPfQ/zSWk1RKHQH+OZbPGOEfNuKanlPAuObdrLs21y/qmA24Asqw6vvGu6zfp+6PEclDzc2hWrzuQwrg4syjtXFFm/yTaHpTdDKc0T50JS1Fg5F36slEuKpXEANx6GW63VSXwmE17nLMtmmt16c3lutUXtPIA7c/Ru2t12k2XB9uSDhJR0eay0OHPb426T6bvem+0xGLxtoIWn8ZfRp40NnK7B/+jLmfrWHdUyPDRsAeHH+mlrEfI/QETtAmg0bPlJl7T/cJjmUVY/0dz7B31XL2rlpuWPCg7+hxpqOuwdIH0IIe91x/iyGRNktagajJWdGQ6CpNeU0jr3lWYy2Zx/yKhTQ/9yTuBLsts+P1nBXVOEqm88aN+xP7wpOPAJ97L8l0Eepzb3a/sJ/xIqyHfk/gH464ZhfO4t3Fkzlt3zrfckXDXSUMP1pL7cbHvWVYu7SuY++/h9P2BdpWmR1k51csjNopvDj2+p5brhDhVLuERCfNklg9iab3UCEN8VZTgkDj+kQ78GTC5vEY1q83A33prbfpdlPdnoTKtVpL5vHI/x6Oi+gddLZSXtPI1mfr2LtqeUy2PZGQ7vJwIkJkPBL0SH9vuu90JHLv6EVAzLZL74frp13JxhnDDN0grB9uSLjoQiJkPJ5l6ypHA8/vbPdJcfTkJtB8UPsUXRxg3h+ufbnOZkOf5XsnpnufhdjbNK55d8DfJ3viNGdFNa95VuMomY41zHUyO+7GSsirHA3d5vJTv1f4ZJe57WtNFVOsF07ybgGecSJSJiKu4A1t9Tzdb78U72vBeoljJvcL+xkvwnro9wT+oYjr/IqFLG2bF/YmvaZ4AsvPaEdSPFiumsa6a3O1JbI48O7iyV5/UMWFA8PPqqscDd0eddVnsrVvLaGlzWlIiB7LGhTxGMEdXW+CVUXXg4aD/4DUmyJfNo9W6z34fMx03roERG9Pb2lTituDw4DkmR2Q9PKVsbhIBEPXpyYLqS6Poc41Wpv8n6fedp0gMeKq/76xPk/lNY3UT7vSMKlu76rlCWuvLQaV5GKJTELskwz/c25ZGRigaLLn0Hf0OG4aleEjr03bd4WU1zUqt2stmcfEI7WGparNtMn/vKIVlOkpzFlRTZWjwfDei5W0/g2jRi+c5N0ChCBKqXKllC14A7ag+d/rOAfYrZQKzib81OR+/vB56AMk00M/XvzDaFyr31kdsTqPjl/vOMypWemkvvpvzGlvD3nfzAP07NADPnJs8yiawujfQKveFM4fMRh6yb0LI4hj5AAAIABJREFUR6iIejAd1pJ5VH//U9bfcSeVyxuoBGzptqh6UCP4d3RmstV7EhalDAfIaNeq9q0lAdWN9HbFavrfHfCXLsT7Swvesq8CtpPfJGxeb1q3aOcVC/yvla0XXScLXbKOFI/58/F/noQuohjr79J9iO/O8ycOut+zt4CnKZTXNFJxpJaH/V6zDZnE8++/HfO5BCOepNJgIqT/IvHcw9m3LmbH5EXaH7NLgENMBF+p5YPOVj7ZlUmu15ou16t1rd+xGXZspvOKGVC5mOzCWaybMYzSUT+Pq3MIbpPWR/Se/jxeiVNou8w5s/ydYB3wmIhcgqZbLQdeTGA/H5RSe0RE99BfDvwbSfPQjw//EMQ1zdVuirTqsHSc4GCm3ecVYRb6g1Pu56qV4lbsON7J4DCfiaV6VkdzPVY0vdPTj/enyb6ay1bvDUnuml+xEEfJdKqW/5xgw5lYiwcYzWCt3kE2lgGpO6EP+rEMtcOP1oaU5NQJSKoJQjTInhWgT9vmaUu6ObzeLovJAdLoWtk8CqdVsLliG2X9rXqS1S6hqwytVZk7n3XX5jJnRXXAtbJ7k/HMXCd/6NfsnJGK53e290iFNyOEvU4WwdoLyDgQ4uMaDUZtEuIj9evveIb5lWt8xUHeuHE/pe8lfq3cFkj1cwM0kzgXDEHTandaLaRHCEjoKCseQO75IymYVsZFkxf5XBL06lMTvV2Ifi9WORqoWtEAhEoThuKtnPbeVG7xVhJ3WQSbyd82XDTS7o5fltQdSMa9B2B3K9pSesMI1f1QSh0VkX9Fs63qj2Zp9QiAiPwSeMBrPRp2vyj4JfBbNOus7cAvkt8K8/iHIK6xQh8QT9jEV0Y0GsI9PClureM2InllxQOYGiWLPxxqb72OT3YJd6Nlp/YdPc6n3dOXio2glxI1g3BtErROIVyGbk8j1uhkuHaZcScALUp+X9tZvO/9e3xBBgu8GrSFxeOTRoh8mjwTnXikzttpsZBusmKaXlbyji2HfQkhwxaVJm15XY8A203sO/xoLXNWhL5ud2tk3Gyxu0H2LG4alUHu+SPpO3ocfYouJndtecJ2O/Eg7HXSE4d6wfME2oQplklgOOj9xM/tA0xr6ascDZQtKiW7cDHthZmUTv+5yTOJDJdFyFDRyWa05eYUtweHVUiPUstlSmo+RStf5LX9bfziV/UBfqXuysV8UDKPY57NMSXKBvctwcQ1HBmP1KbeFogInqxHmmBEalekBNe/Ryil3gDeMHj9N2hENeJ+fu+/i1YQyv+1z4ExyTrXRPEdcTWAANkONy0pNtJdXaNjPJ1CJJIXvjpQZFw9OJNr/IhEuBm6ESwKnHHqh/xh90byegNxhS7do9nopBHsfsQ1uCb8lNR8rt/6IndsOcyl8wJrXG8F39JmrbeeezJgVmcYkTh4PLgs4iPbkTTbZcUD2HtfBVMvnwNo7QKwlixjaE1yyINPZpLAfWP3eOiwaeWL98182ad9NULFmoW4L7gC0BJiADZtOczT08qgm4hrPP1ErGS8u6EIjHpNSc3HqA5WNJJn9ygmXXMZj73VQPWHb5pe+SqvaeSNNfs5tmMzc2I58QhwWQS7975LpHhMiluRn5rBrqzhZBfOIv+9qYBWra74uSO85lnNnBXVXL/1RV+JViNk1LXR1LbL8D2ziCXiGg76GOW0xr6K0R0wG3E1c+85vX2fXpb5O/x94DviGgbZnW7259ho93o0JtrRdVotpLnNRb0iIaOujfq1kSuKRIIWxYs+r47aKXgjeUS1X+8Z+BIMonR40chDu93iI6n+BHTlhY/w2OXRh9Bxv6on/orqgejSesU/mNg8Wpt++sJgWuoeZXiY/aak5jN9zFO4S0MTF92Vi5mSmp+Ujj8ZZFyXP7xaU02RwTUZZM9i3Csv8nDpAq8UJ1SOc1FOAS/dNiEpUVeFJOy0YfMoHLbeEx1yWwIngdGSN8PB7lY8/4ED0MrGhrv/QJs46XrPbZ42Hrj9saStXiiSQ/LAG3E95wz4QivZqz/v435Vj7tuGZOB6p3bKfrxjAhH0T6be+1IqIn/HnRahZQkkfHOXkJc/e+9RNqky+Kazx3HlU9DVZik7GDZ13fo/egNKwO9ElYF/dudHM1InNunJFlDFI+foY5kWSSF80Q8WfCIICr6klkk6EvzesUnf0RLhNPh+ur1pJVMVSbaFG2CoV/v/Pemht23rHgAKy98JGIhjHNGJmdACyZE8bRJd1y4pnhCQOU3gFU7t7M5Z4RPHxkOHc31/OLjG0zVVY8ED1qbohGiaG3Sqr/1nufJ6RedDAczGdx2j8LWuDXi/lNS81m1czszj17E04N+yNODfoj7sQqW/vl3CV8fHZ1WjbRaiFzS2EybUtyKLz7/HJQyqPqkYUIU0qrjFx/fYGq/cDhhs5AWRWtrpk2aTMqYDgyyZ7HktglUrFnIktu0gh7dURZah9NiScq9p0eSZ477cVgnoVU7t7N1xtq4J2bf4eTgu4hrBGQ4PRzOEPbkFobdx2znHc6kPFa4vno9ochXsJdhPMQBepd+SGFOJmCW5CWCjuZ6bhqVQXlN4pGiaG0yc50ieVcuuW0C2bcu5qrJi+jYZ46YJwq3JB710uUGCkKkD2YJA2iTkdmFiymy3xl3ZM9h0yJe+i+cyPMUKQNa1+kCSbXzCgen1UJ2p6ZbiLdN0BUdj0RaUyvXhFy3rQ89yrjCWaxbu54pF1yVcLTfYbWQ6s1X2JwzwnAfs22yoD2X//niQv79J135BK6vXo/5vFrqlrG0eEBc19QtWhQ5JQLJM9umLvlNIPRVjc2vNMEr+srFaQHW89aSeWycMSymBOhIcNiEHEf41clYLK9sERI5V+3cHlN/EQ8+9nRw2GR/97VWmOo7mMB3EdcIEPBmjhobQ5vuFNzJI3n+Av94EG3h2WybtGpVxu+VFQ/wbVNSk7VwHh56UpZ+OokMtEa/TazRhdzzR8a0fzj4a73iXTITFf5611w2mwk/npHwPWUW+nKt1RO+TWYjKcnyPW2pW8bSP/8u7s93Wi2kRoh4mSZDEZImX62pZuuMtUzddxpT951G/pOJFquNDIUWoUwNk5gaK3Ew8iPWcf3WF8NGx1vqlvHApi8YOzV84MAstGXwxK+TDrvbw6OTQ6thxYO991XE9Tk92iok1ueBtophNEYZSXGC4a5czIQfz2DJbcnR9kd6pmK+ThECLJPvTExf/B1OHr4jrlGgLVmEZkzE8gA5rcnRVkFg2dV4oJEh4/diaVOnNfxMX68U8/zO9h4RxDtskZc1zbarw24hzWCwjkX/VPvWkqToJl3ewT6cV6TZNkVaStxUH+pTbITswllJifJ1WjUinmibOq2C3bvsmyisJfMSSqZzx2DtFQmR9JfXFE/gwhFd72196FFKqmKP7pmFR7QJj9HvGytxEIAIkWQjc31/aLZRiSNSvxcPBNiVMYg9eUW+iURwhUWzcJRMj+tzivi8acMeC8WevCIafvSs7/VgKU44pOcU8ETFtqScS6JJtv6ItOLUXvj3pWsVkctFZLeItInIKyKSHc9+IjJMRD4Jeu1BEXGIyAnvtqc72xIN3xHXKFAC/doOBbwWa+ftv0wV73HScwoYfrQ24eUYbdBPPKGqwx7dx7CnfDI7bFYynInP0DtsFtJdsSXQjb3/HoYfrfVtyXIUaLdrbTLqcmNqU4Tr9FFVZOI6v2Ih45p3+7KmE0Wb3UpmEtrk8IvIVKxZGBARNyoXGg5j778noiOBGQQPsu8unuz7f0yTW4sFe4SIoH+5UICHSxd0m84wmIwnUo0oGv9Yf8czEd9P2fBSQpp+/zPRzyW4PYlWW9r60KO+iKd/CWkzeHfx5Lgn97qNlRFibZOSLhLcUreMPXlFlBUPMFU5Mj2ngN+XFSXP79nPa1wvHwzxXSeLgm/T+/sIuf+Eb+OMYQmfa2+BiJwCvATMBZ8F/UOx7CcifURkKpq3a/CdNRy4SimV5t0i5Vl2O74jrlHg9voZ+pOTWOGyaBGieDGueXfcs/lgRIqUxgKnxRJwnD15RQllgCYCjZwl7tgQaXnUCMOP1sZdEjga2u0WMpzJaFP4ZbdImry5rQepnDIpqZOPdruFzM7E26Q/T3vyirh03jo254zw3Xu3fnCvqWOMvf+epFy7YOueeGue61Wz9Oco+HkymrDeXdo9topGEa94+z7Q2vVF7kjDdpkhbclYtQkZhRPozwHa7bkYrcTNWVFtOkpZ/c7quO8X0FxH9GhivBOmrmNBW0pggG7qvtOYkpofsT06aU2kHZFQXtOY0HW6+/brgBOARsj9ZSn1065Mxin2FkwCdiil1imlvgUWA0YdXKT98oCLgG8MPjcUOKlRVn+ISsIyV29HtsWmvp/WJ+bPOS3CgewUTm92JFQysylNy4FrygzUPuoPo5Gtj9kStbHiYFYKp5xwBUTh9uQVxdwxfJNpJ7vTzaGcUSHv9XS96Po+qZwWdI3iadP+nBTyW518dcr3A173P06ybKHMnMuANmdAUoE+4MfSri/7pDK42cG+XGMN3IGhkwM0rv6+lMnGl31SQ56leNp0LNXK0Yx8lCVUP60fJ3gS1V3PU0OmncxON1lhIv5m0ZJioTGzH8oS6u3c08/TCatwNMPOaS2dSTneF6fkoiQPpCtCHNymKan5PFH6FBeOUDw4/sykX6sj6TbsHkWfCEk/ZrEnrwhUC6KOoixn+F7Xq7z5o2LNQo7t2MzWZ+uS3m8k8zrtyR2JqC9Q8r0Aace7iyf7SOmS2ybQtH1Xt1ed0/usZJQ/3pM7ClF7UDIURCt7Mrf1oOG1+FP70ZDXgiEi/6uUKjbz3SLy6/EZA+7qb0szda5fO9t5v+PIfKXUIlMfCPyuxwGPUmqu9+9UNMaerZRqjWU/EbkUWKmUOtvvc98AHwHFwG5gllLqw1jPM1n4jriGgQc4lJ1CZqebvgl2dntyhyPqG5ScCkGyk54clBQayUuUiAN8ccpAwI2SQSEatp5u076+qQw95kjYS/OLU05BySkgofdKT7fpy76pFBxzJLwk8lVOCp22oSAZIe/pbVq1czub9h6KWHEtUXjQ2pSM66Q9Tw0oKfANRjp6muQdyrKT43CTmSBx3ZN7DqK+QslgkPSA98INtN2FDpvQlJ4kQpRXBOooolq8bdMy13v6Oh3OsJHiTiZx9XiJXh5IlzygJ9vVZrdwPNXKoNbEq1bsyStCPPtQkgXSP+C9k9H3DTmeOHHVJ6/i+QZwouR031hl1KZuIK6zBtsynipOz8UexTvd4XGz7cRRvnGdqAD8Z92rlVJRE1tEZA1Qr5R62O81J1CglDoYy37BxFVE7MD7wAPAu8C/Ag8C31NKHYt2bt2BHpMKiMifRORC7/9FRJ4QkeMiclBEbvXbb6iIbBGRDhHZJiLn+L33CxH5WkSaRWSFiHSLnZcH+CbLjj0JHd2evCKQbJQMRFQj4vkS1LemyngmGydsmnYtGR2Ckv6AG1Ffg4kyit0Fh1f68EWCMgWtTfmIagDVnKSziw/+npMJH8s2GFEHQYUnIbeMOr9bSSuAw2Yh1c82Kl50PU99EVUPJ9FCxoM5H81o0NqUhpJTEbUfVEvA+8ny0DWLdruV9ASJOODnKJILpCHqS1A9XxpMkbw2+SL5YkHJGYj6FtQRgLCert2FlhQrWZ3Ja5OSwYhqRjwNJ2V8AmhN0aRNyYi26lAyAPBofTux65Dj/l6llqWLsLH1EJ85jnHQ2Wq4fXziW95u+4Zciw2l1HSlVLHfFkBaRaRMRFzBG5q1abrffine174NOq1jJvfzb4dTKXW+Uur3SqkOpdRKoJGTWAK224mrN4NtJXCx38tTgYnAucDlwMMiojOP3wDvAfnAf6MJiRGR7wFPAdeiCYVHAnck+3w7bBYO5KRg80Bz2j8lRIhW7dze9YdkoWQYSnK1zkEdCP/BboDTIhxNt+OwnZowyQNArFoEBSuivjop5HVP7nkcyMnFYeun/Z1ouyTd23k3Ip6DJ6VNHqAp3UantV/C7dEIUQ5K8ryk4eRMmJwWIbVfGh32/OTpoKWft131J6VdboHGTDvpTo+hDCMuSA5KTkfUN6CO+17uCd9W0AjesVQrx9JSacr4XsLH80WJRVCWU1HSxzvR7blrpV8nu1uFSIAShthRUuAlr+3dPvnT4UGTPnRahawkaMZ9EBtKzkCzf9R4TE9FWxVwPNXK0XQ7uR2u5B5cLFq0lVZQrUlxfTGLzzpbpU25z9znbGe/swP/FW6PUnzpbOdrVwdtyj3or46WqPN6pVS5UsoWvAFbAH/fuHOA3UqpjqBDfGpyPx9E5FwRKQ162U44n9AeQE9EXC9GY/T+opgbgf9QSh1QSu1CI6c/F5EhaGHyB5VSzcDjwBkicjZwHfCaUup9pVQj8GuMxcdxw2kRDmfYcNgG05z2TxFtXMwgRKcl4h2cBgN2zuyhTsEt8FWfDE7YB6JFP5IEEZQMRJvAaZ1NT3R0eoKHqEOA3TujThIkXdNDIfRkm3QcybDTbs/ztSkRouc7bznFO8CG7Zu6DXvyiviqTx57O/uhaf+TMMHQ4WtXkgc6EzieaqMtpT+tqecCSbpOAJLh7R96foLxRe5wjmb01ciLpCblOgU+O3ko6UNPtq0lxaqVPU7RFu4SbVNIXyA2TS7Vg3nOJ2wW3Bah03Y2e5OQFBuQ/CRWL8nr2dpETovQbrcwqKWTr/t+P2n3nq9tYkXJaUBokYXuhlJqb7PHleJG8dfOFhzKQ4fHTV1nCzaEYx6XVSl1KPqRImIdcImIXOJ1DigHXkxgP390AE+KyE9EJF1EbgdSgJOmce32u1MpdT+AiEz0e/k8wL8H+CtaBHYU8P/bu/NgOaoqjuPfX1YFQYGoIKgBFRA1IOCGRCjU0lJKURCk1KQISCEuuKBEJZFCEDQupSBuaCEoi2iBS4ELqERcQUQBQYMSC5AQCJhAIlng+Me5I8MwM+/N23p68vtUvcqb7pl552Z6uk9333vPjRF5/y8iHpJ0E3mFdRbw85bXDGtKhp12341fXX31sOLdsGEDU6Y8+r9l9iZbtX3+cPrF9IPVq1ez6aaDNW/d2rVrmT59etVhjKl169Yxbdq0qsMYUxGBRnkS2G8GtU3AwLXLrGoRsR7Q86ZvHjesvS9nKpq2Kdc+sHJMvmwRsULSXPKO9RPJKa1OAZA0B1gYEc/s9rwu732LpMOA04CtgWvIqbHGZvTmCFRV8nVzYGXT4/vKstbl3dY1lrcl6UigUc9traSxmAyw3d8Zj7cdjhnA3VX98XHiNtWD21QPblM9DGKbYDDbtdNoXnzd2lWS9DjgwWsfWDmmt8Ai4ofAD9ssP5tMVLs+r2n9L4GdW5ZdSCa5faGqxPURHYSBTchONa3Lu61rLG+rdGr+KoCkq4c7ErAu3KZ6cJvqwW2qB7epPgaxXZKGd+u2i+bpqWxkqipA0NpBeBfgz8DfgGdLOXdE+Xcncv6wTq8xMzMzs41AVYnrt4FjJW0p6UXAW4ALI+Jm4O/A+yU9FlgAXB8RtwPnA4eWEW5PKeuG6lRsZmZmZgOiqsT1a8C1wL/IKa/eGxFLyro5wJuAe4CXk5PdEhE3AB8FLgf+Sg7U+uYw/96QE/jWkNtUD25TPbhN9eA21ccgtmsQ21Q7G0XlLDMzMzOrv6quuJqZmZmZ9WSgE9dStWuJpNWSviNps6pj6pWkuZKWSrpf0hWSdmpZf7KkH1cV32hJeo6ktZK2LpMbf1PSCkn3SvqWpFpMPivpeEkPtPyslzSnlDdeUX7OqdN2KOnosv2tlPTVUiIQSW9tWn6RpCdUHetQWspObyLprFI+epmkzytrcnctO91vmtvUsrztfkFpsaT5ExNh71rb1Glbk/QCSX+QtEbSPyUdXl3UQ2vZ/h4v6QJJ/ymxH9z0vD0l/bFsfzdK2r+6qNvrdlyStIOkG1ue/5iyb1+lLNt+zMRH3V2vx9oyRueSkl/cIGnvR7+rjYeBTVyVVSHOAz4IbEeWQvp4pUH1SNKzgC8C7yAnC/4xOUitsf75wAeqiW70JE0m+zs3Ztx/D7ANsD3wjPJ7LdoXESdFxGMaP8BsciaMzYDXA3sBO5THJ1YX6fBJ2gs4HngtGfuOwHGSdgM+S1az2478/D5UVZxDUfuy0/PJuQp3AXYDXggcXda1LTvdTzq0qbGu237hXcBLxzO2kWrXpiG2tbOBM8n5vA8FTpP09AkNehg6fFaLgAfJNs0BvlYSPpHb3PfIeVDfDZwjaZsJDrujTselkozPI+f7bJ3g/GSybOP2wGuAE1sTwyqN8Fj7eWA5sC1wEvDdxom9ja+BTVyB1wHXRMTFEXEvcCpjXCJ2AuwH/CIiLi21hD8N7FrO9KaSSV+dO4u/H/hd0+MN5A6vUZdvMjlIr1YkTSEHDr6TPFidERF/i4iVwOnkoMM6OAA4NyJuiIgV5I76YGAe8OWI+G1E3AccRtME132oXdnpVwKLIuK2iFgGfB14ubqXne4n7dpEt/2CpJnAUcBF4x/eiLRrU7dtbQMP7ysmAeuANRMUay/atesA4BMRcX9EXAn8EngDeXK4BXBqRKyOiMvIKpEvmdiQu2p7XCIvNuwFLGt+snJay3nAMRGxIiL+Qv6f3DWxYXfV07FW0nTgIOD4iPhPRJxHtme/CmLf6Axy4tpaVvZ64MnKqhV1cTF5xt2wB7ljXgV8mJxh4ZoK4ho1STuSB6EFTYu/SJ7t3gOsKL+fOfHRjdpRwL8iYjHZvrOa1u0J/LuKoEZgGrC26bHIKyZ7AJMkXSPpbuCTwK0VxDcsEbEgIo4gt6mGI4CfNj1ufC6PKjtNXjkfVnnpidKhTdB9v3AmeQeqLydA79Cmbtva0cAXgPXAb4DPREQ/JUNAx3Z1+m7dCuxdtjskbU4ms/20z+h0XPpLaeeiluc/gzzBOLh0E/gn8PyI6KeLEr0ea3cE7o+I25qWDbsMvY3OICeujygRWw5EG+hSJrbfRMSdEbEUQNKBZJm2xi3OQ4ATKgtuFMoZ+NfJM/DVTas+Sh5UtyFvoa2ift07JpG3lBYCRMTNpT70VEkLyJ3gx6qMsQeXAYdImilpBtmVYzJ5C/Mg8urrjsDTqEn3h4ZyFfk+SZtKOg14I5kUdSs73dckPZcO+wVlCew7I+KSiY5rlNpua013NT5CVlF8FfARSc+rKtAeXQYco+zXPxt4BTA5ItZExHUAkmYBi4ErIuJ3Xd5rQnU6LkXEhg4vmUF2kdqW/AzfCpxeuoH0hREca2u7nxgEg5y4PqJEbOl7MoUuZWL7kaQZkr5P3qY9HDgD+AbwrnJLo47eCfwjIn7WsvwA8hbZslJ04hTygFQn+wPLI+KqxoKyg76W7Cv6koj4fVXB9SIifkQmB78GriLvYCwvq79SkvJ7yD6ItbtFJmk/4Eay/+7uEXEL3ctO961ywtR2vyBpW+A44L1VxDYG2m1ruwKbRcSiiPhvRPwUuJTsAlIH7wZmkldSTyX7VC6H7Gok6WTgSrKfZd91cWs9LkXE6cN42cKSmP8G+Amwz7gG2aMej7W13E8MiilVBzCObiL7uTY8G1hSp2RPOaL+SvI22M4Rcb+kx5N98C7NfvxMJm+lLYuIrauLtif7AvtLat4hLyVvtTRbD6ymXg4jBycAUK4AXUEOcjo9ajRxsqQdgIsi4uPl8TzyavgWwNSmp04CavO9ghwwQyYFR0XEBU2r/l92OiIe0iPLTvezzeiwXwCOBJ4K3FrWTQUekrR7RBzc4f36xVLab2trIGdJaPpO1Wl/8UzgbWX8BZIWA78t684q63ctJ1N9pd1xaYiXLC3/9u0+o9djLdn9YQtJWzZ1ediF7O5m42yQr7heDMyWNLvMMPAJ6lci9i3AHRExr7FziIiVETG1afT624Gf1ShpJSIOjIjpTW2AvPpwETlqfRtJTwSOJUfX1kIZEfwysj9Uw4eBz0XEaXVKWos9gAslPbmMAJ5PDlI4Hzha0s6StiQH2V3Q5X360ceA97UkrQxRdrpvddsvRMQPImJa07pzgAU1SFqh87a2hOwzemy53b43OeixLl0h5gPzldOyzQWeAlxeRre/Fnh1PyatxaOOS91ExB1kl4dTJD2uzFbyMuBH4xxnL3o61pYubj8ATijb3+HkyWMt7qbV3cAmrpGjoOeSI1BvJW/DnFJpUL2bBewjaUPLT99N+TJGPkl+8f9EDqb7M3nbpi6eS94+ar46NwtY0PL53VxNeD37Hg+XWF5MXjG+nLwi9KWmdVeRsyXUySzgzJbPpXHC0bbstFXiLNpsa6U/5QFkV6Ll5Ijvt0VE3w4SbPE+cmT93WS3gTdGxHqyC8QTgLtbts05FcbaaiTHpUOArYDbyc/q0IjopwFnI2nTMWQf2HvIaeYOiogHJyLYjZ1LvpqZmZlZLQzsFVczMzMzGyxOXM3MzMysFpy4mpmZmVktOHE1MzMzs1pw4mpmZmZmteDE1czMzMxqwYmrmQ0kSftKuqnqOMzMbOw4cTUz64GkyVXHYGa2sXLiamaDbJKkMyStlnSLpL0kTZG0SNIdkm6XtLCU60XSUkkvbry48VjSTEnLJJ0E3FVZa8zMNnJOXM1skD0LWArMAM4FTgQ+CLwI2A14KXAgcMQw3utJwBSyrryZmVXAiauZDbJVwKKI+C9wCTATmAucEBF3RsRS4FNk8jocJ0bEA+MRqJmZDW1K1QGYmY2jZRER5fcHyX3etsDNTc+5i7ya2k7zyf26iFgz9iGamdlw+YqrmQ2yaLPsLmC7pseN7gQAD1H2i2UQ1lbjGZyZmfXGiauZbWwuBBZK2krS9sB7gLPLutuAPcvvbwY2qSA+MzPrwImrmW1sFgL/BpYAvwfOi4iLy7pjgSMlXQfsC1xfSYRmZtaWHu7+ZWZmZmaYNmr3AAAAUUlEQVTWv3zF1czMzMxqwYmrmZmZmdWCE1czMzMzqwUnrmZmZmZWC05czczMzKwWnLiamZmZWS04cTUzMzOzWnDiamZmZma14MTVzMzMzGrhf3gw8n1C7ng1AAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,10))\n", + "\n", + "##################################################\n", + "ax1 = fig.add_subplot(511)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-.15,.151,0.0125)\n", + "contour_plot1 = ax1.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1000,300)\n", + "ax1.set_xlim(0,240)\n", + "ax1.set_xticks([i for i in range(0,241,24)])\n", + "ax1.set_yticks([400,600,800,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "##################################################\n", + "ax2 = fig.add_subplot(512)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.05,0.051,0.01)\n", + "contour_plot2 = ax2.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "contour_line2 = ax2.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1000,300)\n", + "ax2.set_xlim(0,240)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(0,241,24)])\n", + "ax2.set_yticks([400,600,800,1000])\n", + "\n", + "\n", + "##################################################\n", + "ax3 = fig.add_subplot(513)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.015,0.0151,0.0025)\n", + "contour_plot3 = ax3.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(700,300)\n", + "ax3.set_xlim(0,240)\n", + "#ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(0,241,24)])\n", + "ax3.set_yticks([300,400,500,600,700])\n", + "\n", + "\n", + "##################################################\n", + "ax4 = fig.add_subplot(514)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.015,0.0151,0.0025)\n", + "contour_plot4 = ax4.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " advection_400_dry_latlon_areamean.T, \\\n", + " levels=levels, \\\n", + " cmap=cmocean.cm.balance_r, extend='both')\n", + "contour_line4 = ax4.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax4.set_ylim(1000,300)\n", + "ax4.set_xlim(0,240)\n", + "#ax4.set_xlabel('hour', fontsize=fontsize)\n", + "ax4.set_ylabel('hPa', fontsize=fontsize)\n", + "ax4.set_xticks([i for i in range(0,241,24)])\n", + "ax4.set_yticks([400,600,800,1000])\n", + "\n", + "\n", + "##################################################\n", + "ax5 = fig.add_subplot(515)\n", + "ax5.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.015,0.0151,0.0025)\n", + "contour_plot5 = ax5.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " convergence_400_dry_latlon_areamean.T, \\\n", + " levels=levels, \\\n", + " cmap=cmocean.cm.balance_r, extend='both')\n", + "contour_line5 = ax5.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax5.set_ylim(1000,300)\n", + "ax5.set_xlim(0,240)\n", + "ax5.set_xlabel('hour', fontsize=fontsize)\n", + "ax5.set_ylabel('hPa', fontsize=fontsize)\n", + "ax5.set_xticks([i for i in range(0,241,24)])\n", + "ax5.set_yticks([400,600,800,1000])\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ax1.text(s='(a) control dMSE/dt', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dMSE/dt', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ dMSE/dt zoom', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ MSE advection', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "ax5.text(s='(e) $\\Delta$ MSE convergence', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "cbar_ax1 = fig.add_axes([ax1pos.x1+0.02, ax1pos.y0, 0.02, ax1pos.height])\n", + "cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "cbar_ax1.tick_params(labelsize=fontsize)\n", + "cbar1.add_lines(contour_line1)\n", + "cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax2 = fig.add_axes([ax2pos.x1+0.02, ax2pos.y0, 0.02, ax2pos.height])\n", + "cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "cbar_ax2.tick_params(labelsize=fontsize)\n", + "cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.02, ax3pos.y0, 0.02, ax3pos.height])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.01,0,.01])\n", + "\n", + "ax4pos = ax4.get_position()\n", + "cbar_ax4 = fig.add_axes([ax4pos.x1+0.02, ax4pos.y0, 0.02, ax4pos.height])\n", + "cbar4 = fig.colorbar(contour_plot4, cax=cbar_ax4)\n", + "cbar_ax4.tick_params(labelsize=fontsize)\n", + "cbar4.add_lines(contour_line4)\n", + "cbar4.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar4.set_ticks([-.01,0,.01])\n", + "\n", + "ax5pos = ax5.get_position()\n", + "cbar_ax5 = fig.add_axes([ax5pos.x1+0.02, ax5pos.y0, 0.02, ax5pos.height])\n", + "cbar5 = fig.colorbar(contour_plot5, cax=cbar_ax5)\n", + "cbar_ax5.tick_params(labelsize=fontsize)\n", + "cbar5.add_lines(contour_line5)\n", + "cbar5.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar5.set_ticks([-.01,0,.01])\n", + "\n", + "fig.savefig('dmsedt_profile_first_10days_with_advection_convergence_terms.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot climatological moisture advection/convergence" + ] + }, + { + "cell_type": "code", + "execution_count": 178, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-25T23:46:06.245740Z", + "start_time": "2018-06-25T23:45:49.151224Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(4.5,6))\n", + "\n", + "ax_list = []\n", + "\n", + "#####\n", + "ax = fig.add_subplot(221)\n", + "\n", + "ax.plot(advection_400_wet_region_day1*1000.*86400.,ptot_400_wet_region_midpoints/100., c='green', label='moist. adv.')\n", + "ax.plot(convergence_400_wet_region_day1*1000.*86400.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='moist. conv.')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-10,10)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('g kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(a)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(222)\n", + "\n", + "ax.plot(advection_400_dry_region_day1*1000.*86400.,ptot_400_wet_region_midpoints/100., c='green', label='mse\\nadvection')\n", + "ax.plot(convergence_400_dry_region_day1*1000.*86400.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='mse\\nconvergence')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-5,5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('g kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax_list.append(ax)\n", + "ax.text(s='Amazon\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(b)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "\n", + "#####\n", + "ax = fig.add_subplot(223)\n", + "\n", + "ax.plot(advection_400_wet_region*1000.*86400.,ptot_400_wet_region_midpoints/100., c='green', label='mse\\nadvection')\n", + "ax.plot(convergence_400_wet_region*1000.*86400.,ptot_400_wet_region_midpoints/100.,c='dodgerblue', label='mse\\nconvergence')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-10,10)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('g kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(c)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(224)\n", + "\n", + "ax.plot(advection_400_dry_region*1000.*86400.,ptot_400_dry_region_midpoints/100., c='green', label='mse\\nadvection')\n", + "ax.plot(convergence_400_dry_region*1000.*86400.,ptot_400_dry_region_midpoints/100.,c='dodgerblue', label='mse\\nconvergence')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-5,5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('g kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax.text(s='Amazon\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(d)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=1)\n", + "\n", + "handles, labels = ax_list[1].get_legend_handles_labels()\n", + "legend = ax_list[1].legend(handles, labels, fontsize=fontsize, bbox_to_anchor=(1.05,1), edgecolor='None', \\\n", + " facecolor='None', fancybox=False, bbox_transform=ax_list[1].transAxes, loc='upper left', \\\n", + " borderaxespad=0., borderpad=0.25, handlelength=1.0, handletextpad=0.5, \\\n", + " columnspacing=0.5, markerscale=1)\n", + "\n", + "fig.savefig('manuscript_figXX_climatological_mse_budget_TOTAL_10d_and_day1.png', dpi=600, \\\n", + " transparent=True, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot individual conv, div, dmsedt terms" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-17T04:26:02.610731Z", + "start_time": "2018-06-17T04:25:43.565001Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(4.5,6))\n", + "\n", + "ax_list = []\n", + "\n", + "#####\n", + "ax = fig.add_subplot(221)\n", + "\n", + "ax.plot(diff_wet_region_adv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moist. adv.')\n", + "ax.plot(diff_wet_region_conv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='moist. conv.')\n", + "ax.plot(diff_wet_region_dmsedt_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='0.5', label='dmse/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(a)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(222)\n", + "\n", + "ax.plot(diff_dry_region_adv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='mse\\nadvection')\n", + "ax.plot(diff_dry_region_conv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='mse\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='0.5', label='dmse/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax_list.append(ax)\n", + "ax.text(s='Amazon\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(b)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "\n", + "#####\n", + "ax = fig.add_subplot(223)\n", + "\n", + "ax.plot(diff_wet_region_adv*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='mse\\nadvection')\n", + "ax.plot(diff_wet_region_conv*86400./1000.,ptot_400_wet_region_midpoints/100.,c='dodgerblue', label='mse\\nconvergence')\n", + "ax.plot(diff_wet_region_dmsedt*86400./1000.,ptot_400_wet_region_midpoints/100.,c='0.5', label='dmse/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(c)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(224)\n", + "\n", + "ax.plot(diff_dry_region_adv*86400./1000.,ptot_400_dry_region_midpoints/100., c='green', label='mse\\nadvection')\n", + "ax.plot(diff_dry_region_conv*86400./1000.,ptot_400_dry_region_midpoints/100.,c='dodgerblue', label='mse\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt*86400./1000.,ptot_400_dry_region_midpoints/100.,c='0.5',label='dmse/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax.text(s='Amazon\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(d)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=1)\n", + "\n", + "handles, labels = ax_list[1].get_legend_handles_labels()\n", + "legend = ax_list[1].legend(handles, labels, fontsize=fontsize, bbox_to_anchor=(1.05,1), edgecolor='None', \\\n", + " facecolor='None', fancybox=False, bbox_transform=ax_list[1].transAxes, loc='upper left', \\\n", + " borderaxespad=0., borderpad=0.25, handlelength=1.0, handletextpad=0.5, \\\n", + " columnspacing=0.5, markerscale=1)\n", + "\n", + "fig.savefig('manuscript_figXX_mean_mse_budget_TOTAL_10d_and_day1.png', dpi=600, \\\n", + " transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-17T04:26:11.992475Z", + "start_time": "2018-06-17T04:26:02.634271Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(4.5,3))\n", + "\n", + "ax_list = []\n", + "\n", + "#####\n", + "ax = fig.add_subplot(121)\n", + "\n", + "ax.plot(diff_wet_region_adv*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_wet_region_conv*86400./1000.,ptot_400_wet_region_midpoints/100.,c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_wet_region_dmsedt*86400./1000.,ptot_400_wet_region_midpoints/100.,c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(a)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(122)\n", + "\n", + "ax.plot(diff_dry_region_adv*86400./1000.,ptot_400_dry_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_dry_region_conv*86400./1000.,ptot_400_dry_region_midpoints/100.,c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt*86400./1000.,ptot_400_dry_region_midpoints/100.,c='0.5',label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax.text(s='Amazon\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(b)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=1)\n", + "\n", + "handles, labels = ax_list[1].get_legend_handles_labels()\n", + "legend = ax_list[1].legend(handles, labels, fontsize=fontsize, bbox_to_anchor=(1.05,1), edgecolor='None', \\\n", + " facecolor='None', fancybox=False, bbox_transform=ax_list[1].transAxes, loc='upper left', \\\n", + " borderaxespad=0., borderpad=0.25, handlelength=1.0, handletextpad=0.5, \\\n", + " columnspacing=0.5, markerscale=1)\n", + "\n", + "fig.savefig('manuscript_figXX_mean_mse_budget_TOTAL_10d_ONLY.png', dpi=600, \\\n", + " transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Do same for vertical terms" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-17T04:28:30.712447Z", + "start_time": "2018-06-17T04:28:12.945972Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(4.5,6))\n", + "\n", + "ax_list = []\n", + "\n", + "#####\n", + "ax = fig.add_subplot(221)\n", + "\n", + "ax.plot(diff_wet_region_vert_adv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moist. adv.')\n", + "ax.plot(diff_wet_region_vert_conv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='moist. conv.')\n", + "ax.plot(diff_wet_region_dmsedt_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(a)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(222)\n", + "\n", + "ax.plot(diff_dry_region_vert_adv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_dry_region_vert_conv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax_list.append(ax)\n", + "ax.text(s='Amazon\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(b)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "\n", + "#####\n", + "ax = fig.add_subplot(223)\n", + "\n", + "ax.plot(diff_wet_region_vert_adv*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_wet_region_vert_conv*86400./1000.,ptot_400_wet_region_midpoints/100.,c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_wet_region_dmsedt*86400./1000.,ptot_400_wet_region_midpoints/100.,c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(c)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(224)\n", + "\n", + "ax.plot(diff_dry_region_vert_adv*86400./1000.,ptot_400_dry_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_dry_region_vert_conv*86400./1000.,ptot_400_dry_region_midpoints/100.,c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt*86400./1000.,ptot_400_dry_region_midpoints/100.,c='0.5',label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax.text(s='Amazon\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(d)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=1)\n", + "\n", + "handles, labels = ax_list[1].get_legend_handles_labels()\n", + "legend = ax_list[1].legend(handles, labels, fontsize=fontsize, bbox_to_anchor=(1.05,1), edgecolor='None', \\\n", + " facecolor='None', fancybox=False, bbox_transform=ax_list[1].transAxes, loc='upper left', \\\n", + " borderaxespad=0., borderpad=0.25, handlelength=1.0, handletextpad=0.5, \\\n", + " columnspacing=0.5, markerscale=1)\n", + "\n", + "axpos1 = ax_list[0].get_position()\n", + "axpos2 = ax_list[1].get_position()\n", + "\n", + "fig.text(s='vertical terms', x=0.5*(axpos1.x0+axpos2.x1), y=1.02, transform=fig.transFigure, ha='center', va='bottom', fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figXX_mean_mse_budget_VERTICAL_10d_and_day1.png', dpi=600, \\\n", + " transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# horizontal terms" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:35:56.630925Z", + "start_time": "2018-05-30T22:35:53.086002Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(4.5,6))\n", + "\n", + "ax_list = []\n", + "\n", + "#####\n", + "ax = fig.add_subplot(221)\n", + "\n", + "ax.plot(diff_wet_region_horiz_adv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moist. adv.')\n", + "ax.plot(diff_wet_region_horiz_conv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='moist. conv.')\n", + "ax.plot(diff_wet_region_dmsedt_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(a)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(222)\n", + "\n", + "ax.plot(diff_dry_region_horiz_adv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_dry_region_horiz_conv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax_list.append(ax)\n", + "ax.text(s='Amazon\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(b)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "\n", + "#####\n", + "ax = fig.add_subplot(223)\n", + "\n", + "ax.plot(diff_wet_region_horiz_adv*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_wet_region_horiz_conv*86400./1000.,ptot_400_wet_region_midpoints/100.,c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_wet_region_dmsedt*86400./1000.,ptot_400_wet_region_midpoints/100.,c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(c)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(224)\n", + "\n", + "ax.plot(diff_dry_region_horiz_adv*86400./1000.,ptot_400_dry_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_dry_region_horiz_conv*86400./1000.,ptot_400_dry_region_midpoints/100.,c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt*86400./1000.,ptot_400_dry_region_midpoints/100.,c='0.5',label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax.text(s='Amazon\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(d)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=1)\n", + "\n", + "handles, labels = ax_list[1].get_legend_handles_labels()\n", + "legend = ax_list[1].legend(handles, labels, fontsize=fontsize, bbox_to_anchor=(1.05,1), edgecolor='None', \\\n", + " facecolor='None', fancybox=False, bbox_transform=ax_list[1].transAxes, loc='upper left', \\\n", + " borderaxespad=0., borderpad=0.25, handlelength=1.0, handletextpad=0.5, \\\n", + " columnspacing=0.5, markerscale=1)\n", + "\n", + "axpos1 = ax_list[0].get_position()\n", + "axpos2 = ax_list[1].get_position()\n", + "\n", + "fig.text(s='horizontal terms', x=0.5*(axpos1.x0+axpos2.x1), y=1.02, transform=fig.transFigure, ha='center', va='bottom', fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figXX_mean_mse_budget_HORIZONTAL_10d_and_day1.png', dpi=600, \\\n", + " transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# lat subsets and latmeans" + ] + }, + { + "cell_type": "code", + "execution_count": 125, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:36:56.740597Z", + "start_time": "2018-05-30T22:36:56.050145Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_midpoints_lat_subset = ptot_400_midpoints[:,:,lat_indices_midpoints[:,0],:]\n", + "ptot_1000_midpoints_lat_subset = ptot_1000_midpoints[:,:,lat_indices_midpoints[:,0],:]" + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:37:05.799133Z", + "start_time": "2018-05-30T22:37:04.841477Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_lat_subset = ptot_400[:,:,lat_indices[:,0],:]\n", + "ptot_1000_lat_subset = ptot_1000[:,:,lat_indices[:,0],:]" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:37:15.025900Z", + "start_time": "2018-05-30T22:37:14.249742Z" + } + }, + "outputs": [], + "source": [ + "advection_400_lat_subset = advection_400[:,:,lat_indices_midpoints[:,0],:]\n", + "advection_1000_lat_subset = advection_1000[:,:,lat_indices_midpoints[:,0],:]\n", + "\n", + "convergence_400_lat_subset = convergence_400[:,:,lat_indices_midpoints[:,0],:]\n", + "convergence_1000_lat_subset = convergence_1000[:,:,lat_indices_midpoints[:,0],:]" + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:38:06.444073Z", + "start_time": "2018-05-30T22:37:23.641082Z" + } + }, + "outputs": [], + "source": [ + "cont_adv_latmean = numpy.nanmean(advection_400_lat_subset, axis=2)\n", + "phys_adv_latmean = numpy.nanmean(advection_1000_lat_subset, axis=2)\n", + "\n", + "cont_conv_latmean = numpy.nanmean(convergence_400_lat_subset, axis=2)\n", + "phys_conv_latmean = numpy.nanmean(convergence_1000_lat_subset, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:38:16.648532Z", + "start_time": "2018-05-30T22:38:15.116364Z" + } + }, + "outputs": [], + "source": [ + "dmsedt_400_lat_subset = dmsedt_400[:,:,lat_indices_midpoints[:,0],:]\n", + "dmsedt_1000_lat_subset = dmsedt_1000[:,:,lat_indices_midpoints[:,0],:]" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:38:48.150834Z", + "start_time": "2018-05-30T22:38:44.658106Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_latmean = numpy.nanmean(ptot_400_lat_subset, axis=2)\n", + "ptot_1000_latmean = numpy.nanmean(ptot_1000_lat_subset, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 133, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:39:00.635622Z", + "start_time": "2018-05-30T22:38:57.360855Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_midpoints_latmean = numpy.nanmean(ptot_400_midpoints_lat_subset, axis=2)\n", + "ptot_1000_midpoints_latmean = numpy.nanmean(ptot_1000_midpoints_lat_subset, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:39:14.660202Z", + "start_time": "2018-05-30T22:39:09.573412Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + } + ], + "source": [ + "dmsedt_400_latmean = numpy.nanmean(dmsedt_400_lat_subset, axis=2)\n", + "dmsedt_1000_latmean = numpy.nanmean(dmsedt_1000_lat_subset, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 135, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:39:25.402176Z", + "start_time": "2018-05-30T22:39:23.445710Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_midpoints_lat_subset = ptot_400_midpoints[:,:,lat_indices_midpoints[:,0],:]\n", + "ptot_400_midpoints_latmean = numpy.nanmean(ptot_400_midpoints_lat_subset, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:39:34.377567Z", + "start_time": "2018-05-30T22:39:34.371094Z" + } + }, + "outputs": [], + "source": [ + "xx,zz=numpy.meshgrid(xlong[0,:],ptot_400[0,:,:,0].mean(axis=1))" + ] + }, + { + "cell_type": "code", + "execution_count": 137, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:39:43.406345Z", + "start_time": "2018-05-30T22:39:43.356529Z" + } + }, + "outputs": [], + "source": [ + "diff_adv_latmean = phys_adv_latmean-cont_adv_latmean\n", + "diff_conv_latmean = phys_conv_latmean-cont_conv_latmean\n", + "diff_dmsedt_latmean = dmsedt_1000_latmean-dmsedt_400_latmean" + ] + }, + { + "cell_type": "code", + "execution_count": 138, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:39:55.275169Z", + "start_time": "2018-05-30T22:39:52.420913Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + " \n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", + " This is separate from the ipykernel package so we can avoid doing imports until\n" + ] + } + ], + "source": [ + "wa_diffs_lat_subset = wa_diffs_landmask[:,:,lat_indices[:,0],:]\n", + "wa_diffs_latmean = numpy.nanmean(wa_diffs_lat_subset, axis=2)\n", + "wa_diffs_time_latmean = numpy.nanmean(wa_diffs_latmean[24:,:,:], axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:40:04.492103Z", + "start_time": "2018-05-30T22:40:04.463861Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_time_latmean = numpy.nanmean(ptot_400_latmean, axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# gridspec version of plot" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:38:27.719763Z", + "start_time": "2018-05-30T22:38:27.135202Z" + } + }, + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "gs = matplotlib.gridspec.GridSpec(3,2,height_ratios=[2,1,3])\n", + "\n", + "xticks_deg_E=numpy.array((280,290,300,310,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "ax_a = mp.subplot(gs[0,:])\n", + "ax_b = mp.subplot(gs[1,:])\n", + "ax_c = mp.subplot(gs[2,0])\n", + "ax_d = mp.subplot(gs[2,1])\n", + "#ax_e = mp.subplot(gs[3,0])\n", + "#ax_f = mp.subplot(gs[3,1])\n", + "\n", + "ax_list = [ax_a,ax_b,ax_c,ax_d]#,ax_e,ax_f]\n", + "\n", + "\n", + "levels = numpy.arange(-.2,.21,0.025)\n", + "contour_plot = ax_a.contourf(xx+360., ptot_400_time_latmean/100., \\\n", + " wa_diffs_time_latmean*86400./1000., \\\n", + " levels=levels, \\\n", + " cmap='RdBu', \\\n", + " extend='both')\n", + "ax_a.tick_params(labelsize=fontsize)\n", + "ax_a.set_ylim(1013.25,100)\n", + "ax_a.set_xlim(279,321)\n", + "ax_a.text(s='(a) Mean $\\Delta w$ (days 2–10)',\\\n", + " x=0, y=1.01, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax_a.transAxes)\n", + "ax_a.set_xticks(xticks_deg_E)\n", + "ax_a.set_xticklabels(xticks_format)\n", + "ax_a.set_ylabel('hPa', fontsize=fontsize)\n", + "ax_a.set_facecolor('0.1')\n", + "ax_a.fill_between(x=[wet_lon_lo_degE,wet_lon_hi_degE], y1=ax_a.get_ylim()[0], y2=ax_a.get_ylim()[1],\\\n", + " facecolor='None', edgecolor='0.1',\n", + " hatch='/', alpha=0.5)\n", + "ax_a.fill_between(x=[dry_lon_lo_degE,dry_lon_hi_degE], y1=ax_a.get_ylim()[0], y2=ax_a.get_ylim()[1],\\\n", + " facecolor='None', edgecolor='0.1',\n", + " hatch='\\\\', alpha=0.5)\n", + "ax_a.text(s='Andes\\nregion',x=wet_lon_hi_degE+0.5, y=600, ha='left',va='top',fontsize=fontsize,color='0.1')\n", + "ax_a.text(s='Amazon\\nregion',x=dry_lon_hi_degE+0.5, y=400, ha='left',va='top',fontsize=fontsize,color='0.1')\n", + "\n", + "\n", + "ax_b.plot(360+xlong[0,:],pandas.Series(raintot_diffs_latmean_day1*24).rolling(window=3, center=True).mean().values, c='coral', label='day 1')\n", + "ax_b.plot(360+xlong[0,:],pandas.Series(raintot_diffs_latmean_day2_10*24).rolling(window=3, center=True).mean().values, c='firebrick', label='days 2–10')\n", + "ax_b.axhline(0, c='0.1', ls='--')\n", + "ax_b.set_xlim(279,321)\n", + "ax_b.set_ylim(-1.6,1.1)\n", + "ax_b.set_yticks([-1,0,1])\n", + "ax_b.set_xticks(xticks_deg_E)\n", + "ax_b.set_xticklabels(xticks_format)\n", + "ax_b.tick_params(labelsize=fontsize)\n", + "ax_b.text(s='(b) $\\Delta$ precipitation',\\\n", + " x=0, y=1.01, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax_b.transAxes)\n", + "ax_b.set_ylabel('mm day$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "ax=ax_c\n", + "ax.plot(wa_diff_wet_region*86400./1000.,ptot_400_wet_region/100., c='firebrick')\n", + "ax.plot(wa_diff_wet_region_day1*86400./1000.,ptot_400_wet_region/100., c='coral')\n", + "ax.axvline(0, ls='--', c='0.1')\n", + "ax.set_ylim(1000,100)\n", + "ax.set_xlim(-.25,.15)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('km day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='(c) Andes region', x=0., y=1.01, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "#ax.text(s='Andes', x=0.97, y=0.97, ha='right', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.set_yticks(numpy.arange(1000,99,-200))\n", + "ax.set_xticks([-.1,0,.1])\n", + "\n", + "ax=ax_d\n", + "ax.plot(wa_diff_dry_region_day1*86400/1000.,ptot_400_dry_region/100., c='coral', label='$\\Delta w$ (day 1)')\n", + "ax.plot(wa_diff_dry_region*86400/1000.,ptot_400_dry_region/100., c='firebrick', label='$\\Delta w$ (days 2–10)')\n", + "ax.axvline(0, ls='--', c='0.1')\n", + "#ax.axhline(860, ls='--', c='0.1')\n", + "ax.set_ylim(1000,100)\n", + "ax.set_xlim(-.15,.25)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('km day$^{\\,-1}$', fontsize=fontsize)\n", + "#ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='(d) Amazon region', x=0., y=1.01, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "#ax.text(s='Amazon', x=0.97, y=0.97, ha='right', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.set_yticks(numpy.arange(1000,99,-200))\n", + "ax.set_xticks([-.1,0,.1])\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax_pos = ax_a.get_position()\n", + "cbar_ax = fig.add_axes([ax_pos.x1+0.025, ax_pos.y0, 0.02, ax_pos.height])\n", + "cbar = fig.colorbar(contour_plot, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('km day$^{\\,-1}$', fontsize=fontsize)\n", + "cbar.set_ticks(levels[0::4])\n", + "\n", + "handles, labels = ax_b.get_legend_handles_labels()\n", + "ax_b.legend(handles, labels, fontsize=fontsize, scatterpoints=1, bbox_to_anchor=(1.025,1.), \\\n", + " bbox_transform=ax_b.transAxes, loc='upper left', borderaxespad=0, labelspacing=0.25, \\\n", + " fancybox=False, edgecolor='0', framealpha=0, borderpad=0.25, \\\n", + " handletextpad=0.5, markerscale=1, handlelength=1.25)\n", + "\n", + "ax_pos = ax_c.get_position()\n", + "ax_c_in = fig.add_axes([ax_pos.x0,ax_pos.y0+0.2*ax_pos.height,0.35*ax_pos.width,0.7*ax_pos.height])#, frameon=False)\n", + "ax_c_in.plot(wa_400_dry*86400./1000.,ptot_400_wet_region/100., c='0.25', label='10d mean')\n", + "ax_c_in.tick_params(labelsize=fontsize)\n", + "ax_c_in.tick_params(axis='x', pad=0)\n", + "ax_c_in.set_ylim(1000,100)\n", + "ax_c_in.yaxis.tick_right()\n", + "ax_c_in.axvline(0, lw=0.5, color='0.25', ls='-')\n", + "ax_c_in.set_xticks([0.,.2])\n", + "ax_c_in.set_xticklabels(['0','0.2'])\n", + "#ax_c_in.set_xlabel('mm day$^{\\,-1}$', fontsize=fontsize)\n", + "#ax_c_in.text(s='$w$ clim.', x=1., y=1.02, ha='right', va='bottom', transform=ax_c_in.transAxes, fontsize=fontsize)\n", + "\n", + "ax_pos = ax_d.get_position()\n", + "ax_d_in = fig.add_axes([ax_pos.x0+ax_pos.width*0.65,ax_pos.y0+0.2*ax_pos.height,0.35*ax_pos.width,0.7*ax_pos.height])#, frameon=False)\n", + "ax_d_in.plot(wa_400_wet*86400./1000.,ptot_400_wet_region/100., c='0.25', label='$w$ climatology')\n", + "ax_d_in.tick_params(labelsize=fontsize)\n", + "ax_d_in.tick_params(axis='x', pad=0)\n", + "ax_d_in.set_ylim(1000,100)\n", + "#ax_d_in.set_xlabel('mm day$^{\\,-1}$', fontsize=fontsize)\n", + "#ax_d_in.text(s='$w$ clim.', x=0, y=1.02, ha='left', va='bottom', transform=ax_d_in.transAxes, fontsize=fontsize, label='$w$ clim.\\n(days 2–10)')\n", + "ax_d_in.axvline(0, lw=0.5, color='0.25', ls='-')\n", + "\n", + "\n", + "h_out, l_out=ax_d.get_legend_handles_labels()\n", + "h_in, l_in = ax_d_in.get_legend_handles_labels()\n", + "ax_d.legend(h_out+h_in, l_out+l_in, fontsize=fontsize, scatterpoints=1, bbox_to_anchor=(1.05,1.), \\\n", + " bbox_transform=ax_d.transAxes, loc='upper left', borderaxespad=0, labelspacing=0.25, \\\n", + " fancybox=False, edgecolor='0', framealpha=0, borderpad=0.25, \\\n", + " handletextpad=0.5, markerscale=1, handlelength=1.25)\n", + "\n", + "fig.savefig('manuscript_fig4_winds_precip.png', dpi=600, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Plot dmsedt and moisture convergence in lat means" + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:46:33.738939Z", + "start_time": "2018-05-30T22:46:33.707410Z" + } + }, + "outputs": [], + "source": [ + "dmsedt_diff_latmean = dmsedt_1000_latmean - dmsedt_400_latmean" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:46:43.178764Z", + "start_time": "2018-05-30T22:46:43.171944Z" + } + }, + "outputs": [], + "source": [ + "xx_midpoints = 0.5*(xx[1:,1:]+xx[:-1,:-1])\n", + "\n", + "ptot_400_time_latmean_midpoints = 0.5*(ptot_400_time_latmean[1:,1:]+\\\n", + " ptot_400_time_latmean[:-1,:-1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# dmsedt and convergence terms on day 1" + ] + }, + { + "cell_type": "code", + "execution_count": 143, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:48:13.302340Z", + "start_time": "2018-05-30T22:48:08.445616Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "xlong_min = -154.76123\n", + "xlong_max = -25.238678\n", + "\n", + "levels = numpy.arange(-3,3.1,0.5)\n", + "\n", + "fig = mp.figure(figsize=(6.5,3.5))\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "ax_list = []\n", + "\n", + "hour1 = 13\n", + "hour1_string = hour1-4+1\n", + "\n", + "hour2 = 14\n", + "hour2_string = hour2-4+1\n", + "\n", + "ax = fig.add_subplot(221)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " dmsedt_diff_latmean[hour1,:,:]*86400./1000., cmap='RdBu',\\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(a) dq/dt for hour '+'{:02d}'.format(hour1_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(222)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_conv_latmean[hour1,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(b) moist. converg. for hour '+'{:02d}'.format(hour1_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(223)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " dmsedt_diff_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(c) dq/dt for hour '+'{:02d}'.format(hour2_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(224)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_conv_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(d) moist. converg. for hour '+'{:02d}'.format(hour2_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "axpos_bl = ax_list[2].get_position()\n", + "axpos_br = ax_list[3].get_position()\n", + "\n", + "cbar_ax = fig.add_axes([axpos_bl.x0, axpos_bl.y0-0.175, axpos_br.x1-axpos_bl.x0, 0.045])\n", + "cbar = fig.colorbar(contour_plot, cax=cbar_ax, orientation='horizontal')\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "fig.savefig('dmsedt_and_mse_convergence_hours_'+\\\n", + " '{:02d}'.format(hour1_string)+\\\n", + " 'and'+'{:02d}'.format(hour2_string)+'.png',\\\n", + " dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 144, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:48:28.906857Z", + "start_time": "2018-05-30T22:48:25.726023Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "xlong_min = -154.76123\n", + "xlong_max = -25.238678\n", + "\n", + "levels = numpy.arange(-3,3.1,0.5)\n", + "\n", + "fig = mp.figure(figsize=(6.5,3.5))\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "ax_list = []\n", + "\n", + "hour1 = 13\n", + "hour1_string = hour1-4+1\n", + "\n", + "hour2 = 14\n", + "hour2_string = hour2-4+1\n", + "\n", + "ax = fig.add_subplot(221)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " dmsedt_diff_latmean[hour1,:,:]*86400./1000., cmap='RdBu',\\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(a) dq/dt for hour '+'{:02d}'.format(hour1_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(222)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_adv_latmean[hour1,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(b) moist. converg. for hour '+'{:02d}'.format(hour1_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(223)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " dmsedt_diff_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(c) dq/dt for hour '+'{:02d}'.format(hour2_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(224)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_adv_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(d) moist. converg. for hour '+'{:02d}'.format(hour2_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "axpos_bl = ax_list[2].get_position()\n", + "axpos_br = ax_list[3].get_position()\n", + "\n", + "cbar_ax = fig.add_axes([axpos_bl.x0, axpos_bl.y0-0.175, axpos_br.x1-axpos_bl.x0, 0.045])\n", + "cbar = fig.colorbar(contour_plot, cax=cbar_ax, orientation='horizontal')\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "fig.savefig('dmsedt_and_mse_advection_hours_'+\\\n", + " '{:02d}'.format(hour1_string)+\\\n", + " 'and'+'{:02d}'.format(hour2_string)+'.png',\\\n", + " dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:49:26.357631Z", + "start_time": "2018-05-30T22:49:26.099040Z" + } + }, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'numpy' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mxlong_max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m25.238678\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mlevels\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m10.1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0mfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m8\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3.5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mNameError\u001b[0m: name 'numpy' is not defined" + ] + } + ], + "source": [ + "fontsize=12\n", + "\n", + "xlong_min = -154.76123\n", + "xlong_max = -25.238678\n", + "\n", + "levels = numpy.arange(-10,10.1,2)\n", + "\n", + "fig = mp.figure(figsize=(8,3.5))\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "ax_list = []\n", + "\n", + "hour1 = 13\n", + "hour1_string = hour1-4+1\n", + "\n", + "hour2 = 14\n", + "hour2_string = hour2-4+1\n", + "\n", + "ax = fig.add_subplot(231)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " dmsedt_diff_latmean[hour1,:,:]*86400./1000., cmap='RdBu',\\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(a) dq/dt', x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='hour '+'{:02d}'.format(hour1_string), x=0.95, y=0.91, \\\n", + " ha='right', va='top', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(232)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_conv_latmean[hour1,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(b) moisture convergence', x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='hour '+'{:02d}'.format(hour1_string), x=0.95, y=0.91, \\\n", + " ha='right', va='top', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "\n", + "\n", + "ax = fig.add_subplot(233)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_adv_latmean[hour1,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(c) moisture advection', x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='hour '+'{:02d}'.format(hour1_string), x=0.95, y=0.91, \\\n", + " ha='right', va='top', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ax = fig.add_subplot(234)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " dmsedt_diff_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(d) dq/dt', x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='hour '+'{:02d}'.format(hour2_string), x=0.95, y=0.91, \\\n", + " ha='right', va='top', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "\n", + "ax = fig.add_subplot(235)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_conv_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(e) moisture convergence', x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='hour '+'{:02d}'.format(hour2_string), x=0.95, y=0.91, \\\n", + " ha='right', va='top', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "\n", + "ax = fig.add_subplot(236)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_adv_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(f) moisture advection', x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='hour '+'{:02d}'.format(hour2_string), x=0.95, y=0.91, \\\n", + " ha='right', va='top', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "axpos_bl = ax_list[3].get_position()\n", + "axpos_br = ax_list[5].get_position()\n", + "\n", + "cbar_ax = fig.add_axes([axpos_bl.x0, axpos_bl.y0-0.175, axpos_br.x1-axpos_bl.x0, 0.045])\n", + "cbar = fig.colorbar(contour_plot, cax=cbar_ax, orientation='horizontal')\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "fig.savefig('dmsedt_and_mse_convergence_and_advection_hours_'+\\\n", + " '{:02d}'.format(hour1_string)+\\\n", + " 'and'+'{:02d}'.format(hour2_string)+'.png',\\\n", + " dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/.ipynb_checkpoints/gp1_calculations_for_different_PBL_schemes-checkpoint.ipynb b/.ipynb_checkpoints/gp1_calculations_for_different_PBL_schemes-checkpoint.ipynb new file mode 100644 index 0000000..05494c0 --- /dev/null +++ b/.ipynb_checkpoints/gp1_calculations_for_different_PBL_schemes-checkpoint.ipynb @@ -0,0 +1,2394 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import libraries" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:01:45.675285Z", + "start_time": "2018-08-18T01:01:45.650786Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import matplotlib.colors\n", + "import scipy.stats\n", + "import itertools\n", + "import string\n", + "import matplotlib.patches\n", + "import glob\n", + "import matplotlib.gridspec\n", + "import scipy.ndimage\n", + "\n", + "import wrf\n", + "import netCDF4\n", + "import cmocean\n", + "\n", + "import pandas\n", + "\n", + "import matplotlib.ticker\n", + "import cartopy.mpl.gridliner #import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n", + "\n", + "import mpl_toolkits\n", + "import cartopy\n", + "import cartopy.io.shapereader\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:10:15.984186Z", + "start_time": "2018-08-17T19:10:15.978551Z" + } + }, + "outputs": [], + "source": [ + "run_info = 'FMAASO'\n", + "skip_time=0" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# opening mean fields" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## control data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:10:16.192078Z", + "start_time": "2018-08-17T19:10:15.992560Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "001\t\t\t001_MYNN25_scheme\t 001_UW_scheme\r\n", + "001_ACM2_scheme\t\t001_MYNN30_scheme\t 001_UW_scheme_10days\r\n", + "001_ACM2_scheme_10days\t001_MYNN30_scheme_10days 001_with_extras\r\n", + "001_MYJ_scheme\t\t001_TEMF_scheme\t\t 001_with_xkzs\r\n", + "001_MYJ_scheme_10days\t001_TEMF_scheme_10days\t 001_with_xkzs_and_fxpbls\r\n" + ] + } + ], + "source": [ + "!ls /beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "YSU, ACM2, MYJ, and UW" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:11:15.906414Z", + "start_time": "2018-08-17T19:10:16.194981Z" + } + }, + "outputs": [], + "source": [ + "ysu_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_with_extras'\n", + "ysu_file_list = sorted(glob.glob(ysu_root_dir+'/'+'wrfout*'))\n", + "ysu_ds_list = [netCDF4.Dataset(file) for file in ysu_file_list]\n", + "\n", + "ysu_ptot_400 = numpy.load('DATA_ptot_400_sensitivity.npy')\n", + "ysu_geopot_400 = numpy.load('DATA_geopot_400_sensitivity.npy')\n", + "ysu_tk_400 = numpy.load('DATA_tk_400_sensitivity.npy')\n", + "\n", + "ysu_cont_mfds = xarray.open_mfdataset(ysu_root_dir + '/' + 'wrfout*')\n", + "\n", + "ysu_time = ysu_cont_mfds['Times'].values\n", + "ysu_xlat = ysu_cont_mfds['XLAT'].values[0,:,:]\n", + "ysu_xlong = ysu_cont_mfds['XLONG'].values[0,:,:]\n", + "ysu_landmask = ysu_cont_mfds['LANDMASK'].values[0,:,:]\n", + "\n", + "ysu_qvapor_400 = ysu_cont_mfds['QVAPOR'].values\n", + "ysu_t_400 = ysu_cont_mfds['T'].values\n", + "ysu_pblh_400 = ysu_cont_mfds['PBLH'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:11:20.791533Z", + "start_time": "2018-08-17T19:11:15.914849Z" + } + }, + "outputs": [], + "source": [ + "ysu_cldfra_400 = ysu_cont_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:41:25.746894Z", + "start_time": "2018-08-17T19:41:23.001210Z" + } + }, + "outputs": [], + "source": [ + "ysu_rainc_400 = ysu_cont_mfds['RAINC'].values\n", + "ysu_rainnc_400 = ysu_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:12:15.136514Z", + "start_time": "2018-08-17T19:11:20.800069Z" + } + }, + "outputs": [], + "source": [ + "acm2_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_ACM2_scheme'\n", + "acm2_file_list = sorted(glob.glob(acm2_root_dir+'/'+'wrfout*'))\n", + "acm2_ds_list = [netCDF4.Dataset(file) for file in acm2_file_list]\n", + "\n", + "acm2_ptot_400 = wrf.getvar(acm2_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "acm2_geopot_400 = wrf.getvar(acm2_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "acm2_tk_400 = wrf.getvar(acm2_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:12:47.388002Z", + "start_time": "2018-08-17T19:12:15.145019Z" + } + }, + "outputs": [], + "source": [ + "acm2_cont_mfds = xarray.open_mfdataset(acm2_root_dir + '/' + 'wrfout*')\n", + "acm2_qvapor_400 = acm2_cont_mfds['QVAPOR'].values\n", + "acm2_t_400 = acm2_cont_mfds['T'].values\n", + "acm2_pblh_400 = acm2_cont_mfds['PBLH'].values\n", + "acm2_cldfra_400 = acm2_cont_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:41:09.803888Z", + "start_time": "2018-08-17T19:41:08.793095Z" + } + }, + "outputs": [], + "source": [ + "acm2_rainc_400 = acm2_cont_mfds['RAINC'].values\n", + "acm2_rainnc_400 = acm2_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:13:46.005173Z", + "start_time": "2018-08-17T19:12:47.396472Z" + } + }, + "outputs": [], + "source": [ + "myj_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYJ_scheme'\n", + "myj_file_list = sorted(glob.glob(myj_root_dir+'/'+'wrfout*'))\n", + "myj_ds_list = [netCDF4.Dataset(file) for file in myj_file_list]\n", + "\n", + "myj_ptot_400 = wrf.getvar(myj_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "myj_geopot_400 = wrf.getvar(myj_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "myj_tk_400 = wrf.getvar(myj_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:14:15.535103Z", + "start_time": "2018-08-17T19:13:46.013849Z" + } + }, + "outputs": [], + "source": [ + "myj_cont_mfds = xarray.open_mfdataset(myj_root_dir + '/' + 'wrfout*')\n", + "myj_qvapor_400 = myj_cont_mfds['QVAPOR'].values\n", + "myj_t_400 = myj_cont_mfds['T'].values\n", + "myj_pblh_400 = myj_cont_mfds['PBLH'].values\n", + "myj_cldfra_400 = myj_cont_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:41:38.633748Z", + "start_time": "2018-08-17T19:41:35.107537Z" + } + }, + "outputs": [], + "source": [ + "myj_rainc_400 = myj_cont_mfds['RAINC'].values\n", + "myj_rainnc_400 = myj_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:15:10.107807Z", + "start_time": "2018-08-17T19:14:15.543598Z" + } + }, + "outputs": [], + "source": [ + "uw_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_UW_scheme'\n", + "uw_file_list = sorted(glob.glob(uw_root_dir+'/'+'wrfout*'))\n", + "uw_ds_list = [netCDF4.Dataset(file) for file in uw_file_list]\n", + "\n", + "uw_ptot_400 = wrf.getvar(uw_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "uw_geopot_400 = wrf.getvar(uw_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "uw_tk_400 = wrf.getvar(uw_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:15:36.823470Z", + "start_time": "2018-08-17T19:15:10.119894Z" + } + }, + "outputs": [], + "source": [ + "uw_cont_mfds = xarray.open_mfdataset(uw_root_dir + '/' + 'wrfout*')\n", + "uw_qvapor_400 = uw_cont_mfds['QVAPOR'].values\n", + "uw_t_400 = uw_cont_mfds['T'].values\n", + "uw_pblh_400 = uw_cont_mfds['PBLH'].values\n", + "uw_cldfra_400 = uw_cont_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:41:46.072890Z", + "start_time": "2018-08-17T19:41:43.863885Z" + } + }, + "outputs": [], + "source": [ + "uw_rainc_400 = uw_cont_mfds['RAINC'].values\n", + "uw_rainnc_400 = uw_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:16:33.491358Z", + "start_time": "2018-08-17T19:15:36.832078Z" + } + }, + "outputs": [], + "source": [ + "mynn25_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYNN25_scheme'\n", + "mynn25_file_list = sorted(glob.glob(mynn25_root_dir+'/'+'wrfout*'))\n", + "mynn25_ds_list = [netCDF4.Dataset(file) for file in mynn25_file_list]\n", + "\n", + "mynn25_ptot_400 = wrf.getvar(mynn25_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "mynn25_geopot_400 = wrf.getvar(mynn25_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "mynn25_tk_400 = wrf.getvar(mynn25_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:17:07.468872Z", + "start_time": "2018-08-17T19:16:33.499787Z" + } + }, + "outputs": [], + "source": [ + "mynn25_cont_mfds = xarray.open_mfdataset(mynn25_root_dir + '/' + 'wrfout*')\n", + "mynn25_qvapor_400 = mynn25_cont_mfds['QVAPOR'].values\n", + "mynn25_t_400 = mynn25_cont_mfds['T'].values\n", + "mynn25_pblh_400 = mynn25_cont_mfds['PBLH'].values\n", + "mynn25_cldfra_400 = mynn25_cont_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:41:56.845815Z", + "start_time": "2018-08-17T19:41:53.555411Z" + } + }, + "outputs": [], + "source": [ + "mynn25_rainc_400 = mynn25_cont_mfds['RAINC'].values\n", + "mynn25_rainnc_400 = mynn25_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:18:10.563876Z", + "start_time": "2018-08-17T19:17:07.477311Z" + } + }, + "outputs": [], + "source": [ + "mynn30_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYNN30_scheme'\n", + "mynn30_file_list = sorted(glob.glob(mynn30_root_dir+'/'+'wrfout*'))\n", + "mynn30_ds_list = [netCDF4.Dataset(file) for file in mynn30_file_list]\n", + "\n", + "mynn30_ptot_400 = wrf.getvar(mynn30_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "mynn30_geopot_400 = wrf.getvar(mynn30_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "mynn30_tk_400 = wrf.getvar(mynn30_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:18:45.695946Z", + "start_time": "2018-08-17T19:18:10.572324Z" + } + }, + "outputs": [], + "source": [ + "mynn30_cont_mfds = xarray.open_mfdataset(mynn30_root_dir + '/' + 'wrfout*')\n", + "mynn30_qvapor_400 = mynn30_cont_mfds['QVAPOR'].values\n", + "mynn30_t_400 = mynn30_cont_mfds['T'].values\n", + "mynn30_pblh_400 = mynn30_cont_mfds['PBLH'].values\n", + "mynn30_cldfra_400 = mynn30_cont_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:42:06.324141Z", + "start_time": "2018-08-17T19:42:02.532756Z" + } + }, + "outputs": [], + "source": [ + "mynn30_rainc_400 = mynn30_cont_mfds['RAINC'].values\n", + "mynn30_rainnc_400 = mynn30_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:19:52.886283Z", + "start_time": "2018-08-17T19:18:45.704686Z" + } + }, + "outputs": [], + "source": [ + "temf_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_TEMF_scheme'\n", + "temf_file_list = sorted(glob.glob(temf_root_dir+'/'+'wrfout*'))\n", + "temf_ds_list = [netCDF4.Dataset(file) for file in temf_file_list]\n", + "\n", + "temf_ptot_400 = wrf.getvar(temf_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "temf_geopot_400 = wrf.getvar(temf_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "temf_tk_400 = wrf.getvar(temf_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:20:25.632254Z", + "start_time": "2018-08-17T19:19:52.894625Z" + } + }, + "outputs": [], + "source": [ + "temf_cont_mfds = xarray.open_mfdataset(temf_root_dir + '/' + 'wrfout*')\n", + "temf_qvapor_400 = temf_cont_mfds['QVAPOR'].values\n", + "temf_t_400 = temf_cont_mfds['T'].values\n", + "temf_pblh_400 = temf_cont_mfds['PBLH'].values\n", + "temf_cldfra_400 = temf_cont_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:42:13.179566Z", + "start_time": "2018-08-17T19:42:10.587780Z" + } + }, + "outputs": [], + "source": [ + "temf_rainc_400 = temf_cont_mfds['RAINC'].values\n", + "temf_rainnc_400 = temf_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## phys data" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:21:31.674018Z", + "start_time": "2018-08-17T19:20:25.640902Z" + } + }, + "outputs": [], + "source": [ + "ysu_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_with_extras'\n", + "ysu_file_list = sorted(glob.glob(ysu_root_dir+'/'+'wrfout*'))\n", + "ysu_ds_list = [netCDF4.Dataset(file) for file in ysu_file_list]\n", + "\n", + "ysu_ptot_1000 = numpy.load('DATA_ptot_1000_sensitivity.npy')\n", + "ysu_geopot_1000 = numpy.load('DATA_geopot_1000_sensitivity.npy')\n", + "ysu_tk_1000 = numpy.load('DATA_tk_1000_sensitivity.npy')\n", + "\n", + "ysu_phys_mfds = xarray.open_mfdataset(ysu_root_dir + '/' + 'wrfout*')\n", + "ysu_qvapor_1000 = ysu_phys_mfds['QVAPOR'].values\n", + "ysu_t_1000 = ysu_phys_mfds['T'].values\n", + "ysu_pblh_1000 = ysu_phys_mfds['PBLH'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:21:36.524994Z", + "start_time": "2018-08-17T19:21:31.682784Z" + } + }, + "outputs": [], + "source": [ + "ysu_cldfra_1000 = ysu_phys_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:42:34.950754Z", + "start_time": "2018-08-17T19:42:32.356341Z" + } + }, + "outputs": [], + "source": [ + "ysu_rainc_1000 = ysu_phys_mfds['RAINC'].values\n", + "ysu_rainnc_1000 = ysu_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:22:42.180675Z", + "start_time": "2018-08-17T19:21:36.533580Z" + } + }, + "outputs": [], + "source": [ + "acm2_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_ACM2_scheme'\n", + "acm2_file_list = sorted(glob.glob(acm2_root_dir+'/'+'wrfout*'))\n", + "acm2_ds_list = [netCDF4.Dataset(file) for file in acm2_file_list]\n", + "\n", + "acm2_ptot_1000 = wrf.getvar(acm2_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "acm2_geopot_1000 = wrf.getvar(acm2_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "acm2_tk_1000 = wrf.getvar(acm2_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:23:10.856730Z", + "start_time": "2018-08-17T19:22:42.189179Z" + } + }, + "outputs": [], + "source": [ + "acm2_phys_mfds = xarray.open_mfdataset(acm2_root_dir + '/' + 'wrfout*')\n", + "acm2_qvapor_1000 = acm2_phys_mfds['QVAPOR'].values\n", + "acm2_t_1000 = acm2_phys_mfds['T'].values\n", + "acm2_pblh_1000 = acm2_phys_mfds['PBLH'].values\n", + "acm2_cldfra_1000 = acm2_phys_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:42:45.055219Z", + "start_time": "2018-08-17T19:42:42.537082Z" + } + }, + "outputs": [], + "source": [ + "acm2_rainc_1000 = acm2_phys_mfds['RAINC'].values\n", + "acm2_rainnc_1000 = acm2_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:24:10.957543Z", + "start_time": "2018-08-17T19:23:10.865149Z" + } + }, + "outputs": [], + "source": [ + "myj_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_MYJ_scheme'\n", + "myj_file_list = sorted(glob.glob(myj_root_dir+'/'+'wrfout*'))\n", + "myj_ds_list = [netCDF4.Dataset(file) for file in myj_file_list]\n", + "\n", + "myj_ptot_1000 = wrf.getvar(myj_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "myj_geopot_1000 = wrf.getvar(myj_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "myj_tk_1000 = wrf.getvar(myj_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:24:40.989267Z", + "start_time": "2018-08-17T19:24:10.966202Z" + } + }, + "outputs": [], + "source": [ + "myj_phys_mfds = xarray.open_mfdataset(myj_root_dir + '/' + 'wrfout*')\n", + "myj_qvapor_1000 = myj_phys_mfds['QVAPOR'].values\n", + "myj_t_1000 = myj_phys_mfds['T'].values\n", + "myj_pblh_1000 = myj_phys_mfds['PBLH'].values\n", + "myj_cldfra_1000 = myj_phys_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:42:53.615548Z", + "start_time": "2018-08-17T19:42:51.022196Z" + } + }, + "outputs": [], + "source": [ + "myj_rainc_1000 = myj_phys_mfds['RAINC'].values\n", + "myj_rainnc_1000 = myj_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:25:37.402088Z", + "start_time": "2018-08-17T19:24:40.997842Z" + } + }, + "outputs": [], + "source": [ + "uw_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_UW_scheme'\n", + "uw_file_list = sorted(glob.glob(uw_root_dir+'/'+'wrfout*'))\n", + "uw_ds_list = [netCDF4.Dataset(file) for file in uw_file_list]\n", + "\n", + "uw_ptot_1000 = wrf.getvar(uw_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "uw_geopot_1000 = wrf.getvar(uw_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "uw_tk_1000 = wrf.getvar(uw_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:26:04.454229Z", + "start_time": "2018-08-17T19:25:37.410683Z" + } + }, + "outputs": [], + "source": [ + "uw_phys_mfds = xarray.open_mfdataset(uw_root_dir + '/' + 'wrfout*')\n", + "uw_qvapor_1000 = uw_phys_mfds['QVAPOR'].values\n", + "uw_t_1000 = uw_phys_mfds['T'].values\n", + "uw_pblh_1000 = uw_phys_mfds['PBLH'].values\n", + "uw_cldfra_1000 = uw_phys_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:43:02.578229Z", + "start_time": "2018-08-17T19:42:59.717851Z" + } + }, + "outputs": [], + "source": [ + "uw_rainc_1000 = uw_phys_mfds['RAINC'].values\n", + "uw_rainnc_1000 = uw_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:27:11.236615Z", + "start_time": "2018-08-17T19:26:04.462715Z" + } + }, + "outputs": [], + "source": [ + "mynn25_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_MYNN25_scheme'\n", + "mynn25_file_list = sorted(glob.glob(mynn25_root_dir+'/'+'wrfout*'))\n", + "mynn25_ds_list = [netCDF4.Dataset(file) for file in mynn25_file_list]\n", + "\n", + "mynn25_ptot_1000 = wrf.getvar(mynn25_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "mynn25_geopot_1000 = wrf.getvar(mynn25_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "mynn25_tk_1000 = wrf.getvar(mynn25_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:27:44.839035Z", + "start_time": "2018-08-17T19:27:11.245067Z" + } + }, + "outputs": [], + "source": [ + "mynn25_phys_mfds = xarray.open_mfdataset(mynn25_root_dir + '/' + 'wrfout*')\n", + "mynn25_qvapor_1000 = mynn25_phys_mfds['QVAPOR'].values\n", + "mynn25_t_1000 = mynn25_phys_mfds['T'].values\n", + "mynn25_pblh_1000 = mynn25_phys_mfds['PBLH'].values\n", + "mynn25_cldfra_1000 = mynn25_phys_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:43:12.753610Z", + "start_time": "2018-08-17T19:43:09.379735Z" + } + }, + "outputs": [], + "source": [ + "mynn25_rainc_1000 = mynn25_phys_mfds['RAINC'].values\n", + "mynn25_rainnc_1000 = mynn25_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:29:16.311496Z", + "start_time": "2018-08-17T19:27:44.847468Z" + } + }, + "outputs": [], + "source": [ + "mynn30_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_MYNN30_scheme'\n", + "mynn30_file_list = sorted(glob.glob(mynn30_root_dir+'/'+'wrfout*'))\n", + "mynn30_ds_list = [netCDF4.Dataset(file) for file in mynn30_file_list]\n", + "\n", + "mynn30_ptot_1000 = wrf.getvar(mynn30_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "mynn30_geopot_1000 = wrf.getvar(mynn30_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "mynn30_tk_1000 = wrf.getvar(mynn30_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:30:07.638195Z", + "start_time": "2018-08-17T19:29:16.320168Z" + } + }, + "outputs": [], + "source": [ + "mynn30_phys_mfds = xarray.open_mfdataset(mynn30_root_dir + '/' + 'wrfout*')\n", + "mynn30_qvapor_1000 = mynn30_phys_mfds['QVAPOR'].values\n", + "mynn30_t_1000 = mynn30_phys_mfds['T'].values\n", + "mynn30_pblh_1000 = mynn30_phys_mfds['PBLH'].values\n", + "mynn30_cldfra_1000 = mynn30_phys_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:43:28.185925Z", + "start_time": "2018-08-17T19:43:25.053454Z" + } + }, + "outputs": [], + "source": [ + "mynn30_rainc_1000 = mynn30_phys_mfds['RAINC'].values\n", + "mynn30_rainnc_1000 = mynn30_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:31:36.570309Z", + "start_time": "2018-08-17T19:30:07.646876Z" + } + }, + "outputs": [], + "source": [ + "temf_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_TEMF_scheme'\n", + "temf_file_list = sorted(glob.glob(temf_root_dir+'/'+'wrfout*'))\n", + "temf_ds_list = [netCDF4.Dataset(file) for file in temf_file_list]\n", + "\n", + "temf_ptot_1000 = wrf.getvar(temf_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "temf_geopot_1000 = wrf.getvar(temf_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "temf_tk_1000 = wrf.getvar(temf_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:11.942605Z", + "start_time": "2018-08-17T19:31:36.578977Z" + } + }, + "outputs": [], + "source": [ + "temf_phys_mfds = xarray.open_mfdataset(temf_root_dir + '/' + 'wrfout*')\n", + "temf_qvapor_1000 = temf_phys_mfds['QVAPOR'].values\n", + "temf_t_1000 = temf_phys_mfds['T'].values\n", + "temf_pblh_1000 = temf_phys_mfds['PBLH'].values\n", + "temf_cldfra_1000 = temf_phys_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:43:35.669772Z", + "start_time": "2018-08-17T19:43:32.168747Z" + } + }, + "outputs": [], + "source": [ + "temf_rainc_1000 = temf_phys_mfds['RAINC'].values\n", + "temf_rainnc_1000 = temf_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## define dx, dy" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:11.956567Z", + "start_time": "2018-08-17T19:32:11.951287Z" + } + }, + "outputs": [], + "source": [ + "dx = 50000. # 50,000 m or 50 km\n", + "dy = 50000." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# constants" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:12.043841Z", + "start_time": "2018-08-17T19:32:11.965027Z" + } + }, + "outputs": [], + "source": [ + "L_v = 2264705.0 # J/kg\n", + "c_p = 1005.7 # J/kgK\n", + "g = 9.80665 # m/s2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## get landmask" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:12.184083Z", + "start_time": "2018-08-17T19:32:12.052633Z" + } + }, + "outputs": [], + "source": [ + "landmask = ysu_cont_mfds['LANDMASK'].sel(Time=0).values" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:12.548727Z", + "start_time": "2018-08-17T19:32:12.192542Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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3NET2CIfxrvRdVCJvh2V3LXVnnE2lO4D3SXqcpJPvUknXAg9ERC/wDuDnOe/5K+AfJH0S+C3w0UIXcHK2shsrSU7GSt/PfOIFWpeU9ZRmeaV3vLnJ9eqs/fcC9+a8Zw9wbrHXKLpBT9Ilklanz98laaekX0r6W0nTldggaZek+ySdXuy5rfHU4krfZlNpzOScJt3rgO6szTcBHwLaSGa/fICjB2VfRzIo22xULZsHxlzZxKyRFXvn/AOSYR+ZaYu/iYjt6a39NuBMsgZlA73AeeUP1+pJ65J9kzLCw6wejNnmnCbbOyWdApyZvj4fQNLJwGJgOfAZsgZlp00d03LH/qWDuRcDvGz6CeX8WawGZWp3ZDRKDQ+zsZTcISjpvcDfATdHxA8lfZqxB2UTEd2kTSQnHjcj7zASaxzZHYiZtug4f8gTW6yhlZScJX0Y+F/AZRFxf7o5Myj7wQKDss0KGi5wvxk6rkqmiE9loSWzajHu6VeSjgG+CJyXlZjhyKBsGGVQttl4ZVbKzh03bdYISpkbO5tkVMb3JT2cPpaSDMo+mA7KvhL4QhnjtAbW1Dc4ZqGl5wdOnLTre+Vtq4SimzUi4pasl015Dis448WsVG1rduUtVdozNG/Spm8PbjiJ1c3JhJkLZ+5MCu+bTQHPELSa0b9gxrimfpdq/5xWds9P/mn0th9p7+5fMGPU1bZd18Mmg5Oz1ZRli0cumdXZvI1VTHy9vsyq2/lWHd951axROycnsvr2nktnj7nKtzUmJ2erKfnqdgxuOGlCa/sliXf0pJyRb9RIT/tGOq46srJ4bpz5VvvOrPS9bKeLNtlITs5mZTDayuKZ1bdz7/S71q7w3bKNyZXMreaMNuW7p33jcLPEeO2f0zrmWOpSpplnRnnk2rRyHWdt3Tv82nfNNhonZ6s5/QtGHzGxaeW6EU0IkLTrDm44icENJ43aoZfp/Cvk9nvPHnechRbB7WzeRk/7Rhd/srzcrGE1adnipQy1HQcc3YF3ffeNdGxZPjyCYkRbcjt0kLQPZ+5YP3DuA2Ner3fhejq2LC/7bMVMe7VHfFgu3zlbTWrqG6Rl88CopUd7F65Pxidv6x01mfYuXD/cDrzzqlkF73Bz3zcZeheuL7lJxuqXk7PVvJNvOn7EttyiST1D80Yk8bO27q2auh35hu9Z43KzhtW8pr7BozrsRrsT7l8wg1aOXr+w2DvmqbJ6Wy89Q/PytqlbY/Gds9WF/gUzhh+5dThqqaB/Z/O2UTstrfE4OVvdaVuzK++ddC1UuHMbtIGbNaxO9S+YQdelRxaRbSGZ9JGpcFctbc35bFq5jlWbJz4l3WqX75ytbmVGc+TOxquVYWvZE1WsuqQLX2+QtEvSfZJOz9n/R5L6JT0q6S/TbSdLulfSbkm3pbXx83JyNqtSnc3bXEO6el1MUtf+DOA64JrMDknTgJuBDwJnAZdJmgV8DvhWRMwEngU6C12g6OQs6RJJq9Pn75D0kKQnJK1MtxX8JjGrJrXQ9gzJkMCztu4d9WEVNR+4NV3wuhc4L2vfm4CBiOiPiN+RJPJngIuATekx3wAuLHSBMducJQlYR7L0VGbw6Abgz4CHgAck9aYBZb5JPkjyTfKRsc5vVglzv/SzSodQtHxD/jo3JOO2nx84sWaaaurITOApgIg4IGm6pGnpota/DxyQ9B2SfPi1iPiypOaIeDZ9/x7gtEIXKLZD8AeZJ5JeAygidqSv7wAuAN5G+k2SJus1xf6UZlOt2sY4l2J4ok07dD3mSndjeel308eznNkpkrZnve6OiO6s1wEcynp9KE3MkKwU9YfA2cBzwD9Luhc4mPP+lwoFMGazRiTuBHakm4a/MVKZb4CjvkmA6Wnbi1nVqbeCQ55hWHZPR8TcrEd3zv5BoAVA0rHAi1n7hoB/jYg9EfE8yWLXbcALkl6eHtMC7C4UQCnJM/cbI/MNUOibZJikxZK2S9p+4PD+Ei5vNnGjTfmudW6HnlJbSZp6Sf+8J2vfvwFvkdScJu53Aj8F7gYuS4/5SHqOvEpJzsPfGKnMN0Chb5JhEdGd+TY6blq+dWLNJlduAfx60Nm8jdXbej3DcGrcARyU9DhwJfAFSddK6oiIZ4DPAv8C/AfwjxHxEEk/3BWSBkhuZG8vdIFxT0KJiEFJx0h6A0lCvhh4H0nbyuXAdxn5TWJmU+QVs58d+yCbkHSUxkdzNl+dtX8LsCXnPb8Fzi32GqW2CX+SJOv3AX8TEb9ilG+SEs9tNunqrc3Z6k/Rd84RcUvW8/uAOTn7R/smMas6O6+aRW97dU/fNvNoCmsoxawXWOsunLmz0iFYGTg5W0Opx47AXC47Wh+cnK1hNNJQM5cdrX1OztYw6mFW4Hh4Ykptc3K2urd/TmvD/jffd8+1y8X2re7N/dLPuL7B7pozXG+jdvnO2axO5a6laLXFydnq2uCGkxqurTnDnYK1zcnZ6lqjj/ndtHIdZ23d6xVVapDbnK1u7Z/TSmdzb6XDqLjO5m3JY8Oio+oZu0B/dXNytrr1zCdeqHQIVaWnfSO0H3nd9ViyOrk7DauTk7NZgxoeB70SVs3rqGwwNoLbnM3MbdJVyMnZzOhp3+iRHVXGzRpmBiTNHJ3nH6lz3bpkXwWjMSdnq1utS/ZBYw5xLtnwit4wYnRHxsy7DtHUNziVYTWkkpKzJAFfAd5DshbWJ4FdwLeAU4BvRcSKcgVpVqpli5c2RJnQyZA7umPYQncgToVS25zPB06LiDNJVpP9a2At8HlgFtAm6T3lCdGsNIMbTnJiniSNVH61UkpNzoeBpnSV7WbgeeDtwJ3pclXfBC4sT4hm47fzqllH/RfdyssrfU++UpPzj0iS8m+Ae4G/AYbSxAywBzhttDdKWixpu6TtBw7vL/HyZoV5Beqp0btwPfvntFY6jLpUanJeDDwKnErSKrWB5G46I4CXRntjRHRHxNyImHvctKYSL29m1aIRm46U2CBpl6T7JJ2e57gvS1qdPj9G0pOSHk4fawtdo9Tk3E7S6XcoIvqAfo7uOmgBdpd4bjOrMWdt3cueS2cPPxrAxSQ3p2cA1wHX5B4gaS7wkaxNrcCPIuLM9LGy0AVKHUr3IHAR0CupFXglsDXtBPxn4MPAqhLPbWY1prN5G50rj4xb7GJFvdfsmA/cGhEhqRdYk70z7Y9bA3wZeFW6eSbwZLEXKPXO+WZguqSdwHeATwArgP8DPAb8a0T8tMRzm1mNa4D1C2cCTwFExAGSfJidT1cBm4DfZm2bBVwkqU/SjyS9sdAFSrpzjoiDwEdH2fX2Us5nVm7PD5w4+hhda1jTfwcnPFb0/egpkrZnve6OiO6s10EyxyPjUEQcBkiT7jkR8b8lXZF1zK9Jhh33kIxmuw14a74APEPQ6lLbml30nDuvYVdBsQl7OiLmFtg/SNK39mDahPFi1r53A38g6WHgROA4Sc+SJOb9aRK/W9LfSVLWKLejuPCR1a3+BTPoWuuJqjYptgKXp88vB+7J7IiIr0bE7HSS3tXAzRFxLclEvU8ASJoHDORLzODkbHWuZfMAPUPzKh2G1Z87gIOSHgeuBL4g6VpJhea1/xXwJ5J+SdJR+LFCF3CzhtW92+89m86Fbt6w8knveHP73a4e5bhbsp7vAc4t9hq+c7a617ZmF507Fo19oFkVcXK2huDaxFZrnJzNzKqQk7M1DI/cmDodW5ZXOoSa5+RsDaPOpxNXlZl3HRr7ICvIydkaiofVTQ0vYzVxTs7WUPoXzKh0CHVv2eKllQ6hLjg5m1nZdK1d4bvmMnFytobjjsHJ0bljkdv1y8jJ2RqOE8jk8Fjy8nJytobkjsHyWjWvUEkJK0XJyTldqHVA0i8lzZf0DkkPSXpCUsHlV8wqbftn31bpEOqGxzRPjpIKH0maDXwSeBPwauC7wLPAnwEPAQ9I6o2Ix8sVqJlZIyn1zvli4JaIeD5NwF2AImJHukrKHcAF5QrSrNya+gZ9x1cGPUPzaFuzq9Jh1KVSS4b+PnBY0v3A7wH/QLqeVmoP8JoJxmY2qcaxZJHl4XHjk6fUv51NwH8hqU36p8DnOXo9rQBeGu2NaVv1dknbDxzeX+LlzSbOhfgnxpNNJlepyXkI+HZEvBgRj5Csp5Xdw9IC7B7tjRHRHRFzI2LucdOaSry8WXnc87VzKh1CTeoZmufJJpOs1OT8Q5IlvqdLaiG5S35a0hskHU/SJn1PwTOYmVleJbU5R8R3JJ0D9AP7gb8AfgfcDhwPfDEiflW2KM3MGkzJPSIR8fmIODMi3hoR90bEfRExJ1119uZyBmk2WVo2D3gJK6tK7q62hudpx1aNnJzN8PRjqz5OzmaprrUrPLTOqoaTs1mqZfMA/QtmuA3axqTEBkm7JN0n6fSc/Wsk7UwfH0m3nSzpXkm7Jd0mqeCADCdnsxytS/Z5goWN5WLgVOAM4DrgmswOSecC7cAbgXcCqyUJ+BzwrYiYSVKLqLPQBZyczUbR1DfIssVLXZjf8pkP3BoRAfQC52XtexL4TEQcBk4A9qfHXQRsSo/5BnBhoQuUWlvDrO419Q3S1Acdr19O78L1lQ6nqtzztXNoobYWLZj+YtC880Cxh58iaXvW6+6I6M56PZO0nlBEHEgn5E2LiMOZapyS1pNU77w2fU9zRDybPt8DnFYoAN85m42hbc0udxRm6Rma1wiryTydKTORPrpz9gdH1xM6lN4pHzkgYjnwWqAzLbN8MOf9o9YfynByNiuCq69ZjkGSGkJIOhZ4MbND0hWSFgBExB7gfuB04AVJL08Py1t/KMPJ2axI7iS0LFuBy9Pnl3N0LaHngMXpiI5TgDeTlLq4G7gsPeYj6TnycnI2K5IL9CdcyQ9IFhQ5KOlx4ErgC5KuldSR7vs18AjwY+C/R8QzJCM6rpA0QNIkcnuhC7hD0GwcZt51CBZWOorKuuDK++jf3NjNPOnoi4/mbL466/lfjPKe35LUwC+K75zNbFxuv/fsSofQEJyczcbBBebxmoFTxMnZbJw8McWmgpOzmRXN1fumzoSSs6RpadGPiyS9TtLP0qIe68oVoJlZI5ronfMyklW4AdaSrMI9C2iT9J4JntvMqoiHEU6tkpNzOh3xAuBOYDrwduDOdIjJNxmjqIeZ1Y6eoXnuCJxiE7lzvgH4FMkc8VOAoTQxQ4GiHpIWS9ouafuBw/sncHkzmyqevj71SkrOkq4E7o+Inemm3CIgeYt6RER3ppjIcdOaSrm8WUVtWukuFZt8pc4QPA84R9KHgNcA783ZP2ZRD7NatH9Oa6VDmHJda1fUXHnQelDSnXNEdEXEGyLiTJJC0x8DfirpPZKmAx9mjKIeZlb9OncsaoTyoFWpnLU1PgN8HXgVcEtE/LSM5zazSTba2omtS/ZVIBKDMiTniLgi6+XbJ3o+M5t6HVuWezRGlfEMQbMG52Fy1cklQ80aVGbxABdzqk5OzmYNqGvtClr63NFXzdysYdZgOrYs9wiMGuDkbNZA3L5cO5yczcbh+u4bKx3ChHgadu1wcjYrUq3PDvTq4bXFydnMrAo5OZuZVSEnZ7MG4fHM5aPEBkm70tWgTh/lmFMk/STr9SxJT0p6OH0UXIzSydnMbPwuBk4FzgCuA67J3inp48APgWOzNp8BbIyIM9NHwdqzTs5mDaLWOzSrzHzg1nSBkV6SMsrZfg6sz9k2E3iy2At4hqBZkZ75xAuVDsEmYNr+g+Np2jlF0vas190R0Z31eibwFEBEHJA0XdK0iDicbtsmaQ+wOOs9s4D5kj4FPAp8PCL25AvAydmsSD3tGysdgk2dpyNiboH9uas/Hcok5gIeAVYD3yZJ2l8BFuY72M0aZg2gZ2ieOwTLa5BkxSckHQu8WMR77oqIf0qbQnqAOYUOLnUNwWmSNkraLWmHpD+W9A5JD0l6QtLKUs5rZpPDMwPLbitwefr8cuCeIt7zTUnvT59fAtxf6OBSmzU6gJNJ2lDeSLICygHgz4CHgAck9UbE4yWe38zKZNnipTThu+YyuwN4n6THSTr5LpV0LfBARPTmec+ngY2SvgzsAkYuPZOl1OR8Gkd6Kh+S9CbgZxGxA0DSHcAFwFdLPL+ZlUHHluW09bnQUbleb7X1AAAG20lEQVSlue+jOZuvzjnmCeCcrNd9wDuKvUZJyTkibso8l/QxkvaWp7IO2UOyKvcIkhaT9mC+bPoJpVzezIrgCnS1reQOQUnHS7oZWAacy9E9lwG8NNr7IqI7IuZGxNzjpjWVenmzKbXn0tmVDmHcbr/37EqHYBNQaofgy4GfAM8Dc8nquUy1ALsnHJ1Zldi0suBkLrOyK/XO+ePAv0TEpyLixYgYBI6R9AZJx5NMbSym99LMyqxjy3J6huZxwmMeKVvLSu0QfDvwbkkXZm27ArgdOB74YkT8aoKxmdk49QzN4xWzn+Wer53jpahqXKkdgh/Ks6vgoGozm3w97RvpGFhe6TBsgjx926yO9C+YQdelK2jzXXPNc6OUWRE6dxScL1AVeobmAbg5o044OZsVoXXJvkqHMCYPnasvTs5mdcATTuqPk7NZEc7aurfSIeTVuWORCxvVISdnsyJ0Nm+rdAh5uc50fXJyNjOrQk7OZjWuY4vHNNcjJ2ezGuaOwPrl5Gw2hmruDHRHYP1ycjYbQ6U6A5ctXlqwyWLZ4qVTGI1NNU/fNqtS13ffyKp5HXQ9tmLU/S19nglYz5yczQrYP6e1otcf3HASrUuchBuRmzXMCri++8ZKh2ANysnZzKwKOTmbVbGe9o0Vb1qxyihrclZig6Rdku6TdHo5z282laplUVc3rVSfsXKdpD+X9ISkX0p6b7rtZEn3Stot6TZJBfv8yn3nfDFwKnAGcB1wTZnPbzZlLrjyvkqHMGznVbMqHYIdLW+uk/Rq4DPAm4ELgcy36+eAb0XETOBZoLPQBcqdnOcDt0ZEAL3AeWU+v9mUqaZiR54FWHUK5br3Alsj4rmIeALYK6kNuAjYlB7zDZLEnVe5h9LNBJ4CiIgDkqZLmhYRhzMHSFoMLE5f/u7uwRv6yhzDVDgFeLrSQZSoVmOf8rjvLt/Nahliv6EsgYxTtf1dmdBv5LmDv/nu3YM3nFLk4S+TtD3rdXdEdGe9LpTrhvel9gCnAc0R8WzOtrzKnZwDOJT1+lB2YgZIf8BuAEnbI2JumWOYdLUaN9Ru7LUaN9Ru7LUadz4RcVE5T0f+XJe7L4CXgIOjbMur3M0ag0ALgKRjgRfLfH4zs2pQKNcN70u1ALuBFyS9PGdbXuVOzluBy9PnlwP3lPn8ZmbVoFCu+x6wQFJT2tb8iojYDdwNXJYe85H0HHmVOznfARyU9DhwJfCFMY7vHmN/tarVuKF2Y6/VuKF2Y6/VuKfCiFwn6VpJHRHxW+Am4EGSzsJMhaprgCskDZA0e9xe6AJKOhvNzKyaeIagmVkVcnI2M6tCU56ca3GKt6Ttkh5OH1+X9DpJP0unYa6rdHz5SLpE0ur0+TskPZROKV2ZbqvK30VO3JdLejzr839nuv1z6ef/oKQ3VzjeaZI2pvHskPTHtfB554m76j/vhhERU/oALgG+BYik5/LWqY5hnPFOB36Ys60XeH/6M2wF3lPpOHPiE8mU0r3A6nTbdqAdOBb4d+B11fa7yBP354H/mnNcO3AfyTj9PwR+XOG4LyXpIBLwB8DPa+TzHi3uqv+8G+VRiWaNWpvi3QL8KvNC0nTg7cCd6c/wTcaYhlkhPwBuA5D0GpLO3x0RcZDkH+QFVOfvYjju1EzgyZxj5gN/HxGHIuJ+4LVZ40cr4TTSzzEiHgLeRG183rlxn0ptfN4NoRLJ+ahpj8B0SdXc9j0LaE//23c/8E5gKP0HBkVMw5xq6T+2O4Ed6aZ800mr6ncxStyQfP5fkfQLSTekA/5zf569JImlIiLipoi4HUDSx0gmJNTC550b9yPUwOfdKCrxF2PMKd5V5gXgb4G5wMdJBpKPNjWzmuWbTloLv4sfA8tI7kZPAj5B/p+nYiQdL+lmkljPpUY+75y4r6BGPu9GUInkXGtTvB8GboyIgxHx70AfSRtcxpjTMKtAvumkVf27kCRgfUQ8FBGHgH8A5jDy5zkZ+E0FQgQg/S/+T4DnSb7Ea+LzHiXuAWrg824UlUjOtTbFexnwJQBJrwdeCdwl6T1p+/OHGWMaZqVFxCBwjKQ3SDqepBbtPVT/72I68EtJmcRwMXA/SdyXpaMNzgUeSZsJKuXjwL9ExKci4sUa+ryPipva+bwbQiVW374DeF867fFJkh7janYjcJukR0kKZP85SZvb14FXAbdExE8rGF+xPkkyXfR44IsR8StJVf27iIhDkpYBP5Z0iOQu75aIOCjpJ8CjwD7gg5WMk6SD+N2SsjuGr6D6P+/R4q6Fz7shePq2mVkVquZREmZmDcvJ2cysCjk5m5lVISdnM7Mq5ORsZlaFnJzNzKqQk7OZWRX6/4/s2cuzLWVsAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.contourf(landmask);mp.colorbar()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# calculate MSE" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.150045Z", + "start_time": "2018-08-17T19:32:12.557075Z" + } + }, + "outputs": [], + "source": [ + "ysu_mse_400 = ysu_geopot_400 + L_v*ysu_qvapor_400 + c_p*ysu_tk_400\n", + "ysu_mse_1000 = ysu_geopot_1000 + L_v*ysu_qvapor_1000 + c_p*ysu_tk_1000" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "set up time/lev numbers" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.163908Z", + "start_time": "2018-08-17T19:32:13.158476Z" + } + }, + "outputs": [], + "source": [ + "ntime = 25\n", + "nlev = 29" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "calculate lat lon stuff" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.228876Z", + "start_time": "2018-08-17T19:32:13.172248Z" + } + }, + "outputs": [], + "source": [ + "dry_lon_lo, dry_lon_hi, dry_lat_lo, dry_lat_hi = -60,-50,-10,10\n", + "wet_lon_lo, wet_lon_hi, wet_lat_lo, wet_lat_hi = -80,-75,-10,10\n", + "\n", + "dry_lon_lo_degE = 360+dry_lon_lo\n", + "dry_lon_hi_degE = 360+dry_lon_hi\n", + "\n", + "wet_lon_lo_degE = 360+wet_lon_lo\n", + "wet_lon_hi_degE = 360+wet_lon_hi" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.295137Z", + "start_time": "2018-08-17T19:32:13.237641Z" + } + }, + "outputs": [], + "source": [ + "lon_lo = dry_lon_lo\n", + "lon_hi = dry_lon_hi\n", + "lat_lo = dry_lat_lo\n", + "lat_hi = dry_lat_hi\n", + "\n", + "# lon_lo = wet_lon_lo\n", + "# lon_hi = wet_lon_hi\n", + "# lat_lo = wet_lat_lo\n", + "# lat_hi = wet_lat_hi" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.354450Z", + "start_time": "2018-08-17T19:32:13.303865Z" + } + }, + "outputs": [], + "source": [ + "landmask_indices = numpy.copy(landmask)\n", + "landmask_indices[landmask==1]=1\n", + "landmask_indices[landmask!=1]=0\n", + "landmask_indices = numpy.array(landmask_indices, dtype=bool)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.416069Z", + "start_time": "2018-08-17T19:32:13.362816Z" + } + }, + "outputs": [], + "source": [ + "lon_indices = (ysu_xlong>=lon_lo)&(ysu_xlong<=lon_hi)\n", + "lat_indices = (ysu_xlat>=lat_lo)&(ysu_xlat<=lat_hi)\n", + "latlon_indices = (lon_indices)&(lat_indices)&(landmask_indices)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# take latlon means" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "pblh, deltaysu" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.656637Z", + "start_time": "2018-08-17T19:32:13.418865Z" + } + }, + "outputs": [], + "source": [ + "ysu_pblh_400_latlon_mean = numpy.nanmean(ysu_pblh_400[:,latlon_indices], axis=1)\n", + "ysu_pblh_1000_latlon_mean = numpy.nanmean(ysu_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "ysu_qvapor_400_latlon_mean = numpy.nanmean(ysu_qvapor_400[:,:,latlon_indices], axis=2)\n", + "ysu_qvapor_1000_latlon_mean = numpy.nanmean(ysu_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "ysu_tk_400_latlon_mean = numpy.nanmean(ysu_tk_400[:,:,latlon_indices], axis=2)\n", + "ysu_tk_1000_latlon_mean = numpy.nanmean(ysu_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "ysu_cldfra_400_latlon_mean = numpy.nanmean(ysu_cldfra_400[:,:,latlon_indices], axis=2)\n", + "ysu_cldfra_1000_latlon_mean = numpy.nanmean(ysu_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:02.575358Z", + "start_time": "2018-08-17T19:45:02.559639Z" + } + }, + "outputs": [], + "source": [ + "ysu_raintot_400 = ysu_rainc_400 + ysu_rainnc_400\n", + "ysu_raintot_1000 = ysu_rainc_1000 + ysu_rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.723894Z", + "start_time": "2018-08-17T19:32:13.665094Z" + } + }, + "outputs": [], + "source": [ + "myj_pblh_400_latlon_mean = numpy.nanmean(myj_pblh_400[:,latlon_indices], axis=1)\n", + "myj_pblh_1000_latlon_mean = numpy.nanmean(myj_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "myj_qvapor_400_latlon_mean = numpy.nanmean(myj_qvapor_400[:,:,latlon_indices], axis=2)\n", + "myj_qvapor_1000_latlon_mean = numpy.nanmean(myj_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "myj_tk_400_latlon_mean = numpy.nanmean(myj_tk_400[:,:,latlon_indices], axis=2)\n", + "myj_tk_1000_latlon_mean = numpy.nanmean(myj_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "myj_cldfra_400_latlon_mean = numpy.nanmean(myj_cldfra_400[:,:,latlon_indices], axis=2)\n", + "myj_cldfra_1000_latlon_mean = numpy.nanmean(myj_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:10.068178Z", + "start_time": "2018-08-17T19:45:10.049592Z" + } + }, + "outputs": [], + "source": [ + "myj_raintot_400 = myj_rainc_400 + myj_rainnc_400\n", + "myj_raintot_1000 = myj_rainc_1000 + myj_rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.809174Z", + "start_time": "2018-08-17T19:32:13.732447Z" + } + }, + "outputs": [], + "source": [ + "acm2_pblh_400_latlon_mean = numpy.nanmean(acm2_pblh_400[:,latlon_indices], axis=1)\n", + "acm2_pblh_1000_latlon_mean = numpy.nanmean(acm2_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "acm2_qvapor_400_latlon_mean = numpy.nanmean(acm2_qvapor_400[:,:,latlon_indices], axis=2)\n", + "acm2_qvapor_1000_latlon_mean = numpy.nanmean(acm2_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "acm2_tk_400_latlon_mean = numpy.nanmean(acm2_tk_400[:,:,latlon_indices], axis=2)\n", + "acm2_tk_1000_latlon_mean = numpy.nanmean(acm2_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "acm2_cldfra_400_latlon_mean = numpy.nanmean(acm2_cldfra_400[:,:,latlon_indices], axis=2)\n", + "acm2_cldfra_1000_latlon_mean = numpy.nanmean(acm2_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:16.662517Z", + "start_time": "2018-08-17T19:45:16.644812Z" + } + }, + "outputs": [], + "source": [ + "acm2_raintot_400 = acm2_rainc_400 + acm2_rainnc_400\n", + "acm2_raintot_1000 = acm2_rainc_1000 + acm2_rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.892024Z", + "start_time": "2018-08-17T19:32:13.817970Z" + } + }, + "outputs": [], + "source": [ + "uw_pblh_400_latlon_mean = numpy.nanmean(uw_pblh_400[:,latlon_indices], axis=1)\n", + "uw_pblh_1000_latlon_mean = numpy.nanmean(uw_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "uw_qvapor_400_latlon_mean = numpy.nanmean(uw_qvapor_400[:,:,latlon_indices], axis=2)\n", + "uw_qvapor_1000_latlon_mean = numpy.nanmean(uw_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "uw_tk_400_latlon_mean = numpy.nanmean(uw_tk_400[:,:,latlon_indices], axis=2)\n", + "uw_tk_1000_latlon_mean = numpy.nanmean(uw_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "uw_cldfra_400_latlon_mean = numpy.nanmean(uw_cldfra_400[:,:,latlon_indices], axis=2)\n", + "uw_cldfra_1000_latlon_mean = numpy.nanmean(uw_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:23.419095Z", + "start_time": "2018-08-17T19:45:23.400626Z" + } + }, + "outputs": [], + "source": [ + "uw_raintot_400 = uw_rainc_400 + uw_rainnc_400\n", + "uw_raintot_1000 = uw_rainc_1000 + uw_rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.968030Z", + "start_time": "2018-08-17T19:32:13.900619Z" + } + }, + "outputs": [], + "source": [ + "mynn25_pblh_400_latlon_mean = numpy.nanmean(mynn25_pblh_400[:,latlon_indices], axis=1)\n", + "mynn25_pblh_1000_latlon_mean = numpy.nanmean(mynn25_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "mynn25_qvapor_400_latlon_mean = numpy.nanmean(mynn25_qvapor_400[:,:,latlon_indices], axis=2)\n", + "mynn25_qvapor_1000_latlon_mean = numpy.nanmean(mynn25_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "mynn25_tk_400_latlon_mean = numpy.nanmean(mynn25_tk_400[:,:,latlon_indices], axis=2)\n", + "mynn25_tk_1000_latlon_mean = numpy.nanmean(mynn25_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "mynn25_cldfra_400_latlon_mean = numpy.nanmean(mynn25_cldfra_400[:,:,latlon_indices], axis=2)\n", + "mynn25_cldfra_1000_latlon_mean = numpy.nanmean(mynn25_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:30.759565Z", + "start_time": "2018-08-17T19:45:30.742249Z" + } + }, + "outputs": [], + "source": [ + "mynn25_raintot_400 = mynn25_rainc_400 + mynn25_rainnc_400\n", + "mynn25_raintot_1000 = mynn25_rainc_1000 + mynn25_rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.043458Z", + "start_time": "2018-08-17T19:32:13.976670Z" + } + }, + "outputs": [], + "source": [ + "mynn30_pblh_400_latlon_mean = numpy.nanmean(mynn30_pblh_400[:,latlon_indices], axis=1)\n", + "mynn30_pblh_1000_latlon_mean = numpy.nanmean(mynn30_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "mynn30_qvapor_400_latlon_mean = numpy.nanmean(mynn30_qvapor_400[:,:,latlon_indices], axis=2)\n", + "mynn30_qvapor_1000_latlon_mean = numpy.nanmean(mynn30_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "mynn30_tk_400_latlon_mean = numpy.nanmean(mynn30_tk_400[:,:,latlon_indices], axis=2)\n", + "mynn30_tk_1000_latlon_mean = numpy.nanmean(mynn30_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "mynn30_cldfra_400_latlon_mean = numpy.nanmean(mynn30_cldfra_400[:,:,latlon_indices], axis=2)\n", + "mynn30_cldfra_1000_latlon_mean = numpy.nanmean(mynn30_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:39.318839Z", + "start_time": "2018-08-17T19:45:39.301336Z" + } + }, + "outputs": [], + "source": [ + "mynn30_raintot_400 = mynn30_rainc_400 + mynn30_rainnc_400\n", + "mynn30_raintot_1000 = mynn30_rainc_1000 + mynn30_rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.160572Z", + "start_time": "2018-08-17T19:32:14.051881Z" + } + }, + "outputs": [], + "source": [ + "temf_pblh_400_latlon_mean = numpy.nanmean(temf_pblh_400[:,latlon_indices], axis=1)\n", + "temf_pblh_1000_latlon_mean = numpy.nanmean(temf_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "temf_qvapor_400_latlon_mean = numpy.nanmean(temf_qvapor_400[:,:,latlon_indices], axis=2)\n", + "temf_qvapor_1000_latlon_mean = numpy.nanmean(temf_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "temf_tk_400_latlon_mean = numpy.nanmean(temf_tk_400[:,:,latlon_indices], axis=2)\n", + "temf_tk_1000_latlon_mean = numpy.nanmean(temf_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "temf_cldfra_400_latlon_mean = numpy.nanmean(temf_cldfra_400[:,:,latlon_indices], axis=2)\n", + "temf_cldfra_1000_latlon_mean = numpy.nanmean(temf_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:54.768328Z", + "start_time": "2018-08-17T19:45:54.750137Z" + } + }, + "outputs": [], + "source": [ + "temf_raintot_400 = temf_rainc_400 + temf_rainnc_400\n", + "temf_raintot_1000 = temf_rainc_1000 + temf_rainnc_1000" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "raintot time means" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:12:05.022120Z", + "start_time": "2018-08-18T01:12:04.992288Z" + } + }, + "outputs": [], + "source": [ + "ysu_raintot_400_hourly = numpy.diff(ysu_raintot_400, axis=0)\n", + "ysu_raintot_1000_hourly = numpy.diff(ysu_raintot_1000, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:12:17.845578Z", + "start_time": "2018-08-18T01:12:17.822531Z" + } + }, + "outputs": [], + "source": [ + "ysu_raintot_hourly_diffs = ysu_raintot_1000_hourly-ysu_raintot_400_hourly" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:12:36.010558Z", + "start_time": "2018-08-18T01:12:35.971496Z" + } + }, + "outputs": [], + "source": [ + "ysu_raintot_hourly_diffs_timemean = numpy.nanmean(ysu_raintot_hourly_diffs, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:14:07.775354Z", + "start_time": "2018-08-18T01:14:07.360424Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 123, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.contourf(ysu_raintot_hourly_diffs_timemean*24., cmap=cmocean.cm.balance);mp.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:51:11.490456Z", + "start_time": "2018-08-17T19:51:11.482363Z" + } + }, + "outputs": [], + "source": [ + "ysu_raintot_diffs = ysu_raintot_1000[-1,:,:]-ysu_raintot_400[-1,:,:]" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:51:52.464217Z", + "start_time": "2018-08-17T19:51:51.982637Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 108, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.pcolormesh(ysu_raintot_diffs, vmin=-.001,vmax=.001);mp.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:49:24.865741Z", + "start_time": "2018-08-17T19:49:24.835180Z" + } + }, + "outputs": [], + "source": [ + "ysu_raintot_400_time_mean = numpy.nanmean(ysu_raintot_400, axis=0)\n", + "ysu_raintot_1000_time_mean = numpy.nanmean(ysu_raintot_1000, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:49:45.603914Z", + "start_time": "2018-08-17T19:49:45.141989Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 100, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.pcolormesh((ysu_raintot_1000_time_mean-ysu_raintot_400_time_mean), vmin=-.01,vmax=.01)\n", + "mp.colorbar()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# calculate diffs" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.296274Z", + "start_time": "2018-08-17T19:32:14.169083Z" + } + }, + "outputs": [], + "source": [ + "ysu_tk_diffs_latlon_mean = ysu_tk_1000_latlon_mean - ysu_tk_400_latlon_mean\n", + "ysu_qvapor_diffs_latlon_mean = ysu_qvapor_1000_latlon_mean - ysu_qvapor_400_latlon_mean\n", + "ysu_cldfra_diffs_latlon_mean = ysu_cldfra_1000_latlon_mean - ysu_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "ysu" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.390167Z", + "start_time": "2018-08-17T19:32:14.304915Z" + } + }, + "outputs": [], + "source": [ + "myj_tk_diffs_latlon_mean = myj_tk_1000_latlon_mean - myj_tk_400_latlon_mean\n", + "myj_qvapor_diffs_latlon_mean = myj_qvapor_1000_latlon_mean - myj_qvapor_400_latlon_mean\n", + "myj_cldfra_diffs_latlon_mean = myj_cldfra_1000_latlon_mean - myj_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.489734Z", + "start_time": "2018-08-17T19:32:14.399081Z" + } + }, + "outputs": [], + "source": [ + "acm2_tk_diffs_latlon_mean = acm2_tk_1000_latlon_mean - acm2_tk_400_latlon_mean\n", + "acm2_qvapor_diffs_latlon_mean = acm2_qvapor_1000_latlon_mean - acm2_qvapor_400_latlon_mean\n", + "acm2_cldfra_diffs_latlon_mean = acm2_cldfra_1000_latlon_mean - acm2_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.589877Z", + "start_time": "2018-08-17T19:32:14.498530Z" + } + }, + "outputs": [], + "source": [ + "uw_tk_diffs_latlon_mean = uw_tk_1000_latlon_mean - uw_tk_400_latlon_mean\n", + "uw_qvapor_diffs_latlon_mean = uw_qvapor_1000_latlon_mean - uw_qvapor_400_latlon_mean\n", + "uw_cldfra_diffs_latlon_mean = uw_cldfra_1000_latlon_mean - uw_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.689750Z", + "start_time": "2018-08-17T19:32:14.595221Z" + } + }, + "outputs": [], + "source": [ + "mynn25_tk_diffs_latlon_mean = mynn25_tk_1000_latlon_mean - mynn25_tk_400_latlon_mean\n", + "mynn25_qvapor_diffs_latlon_mean = mynn25_qvapor_1000_latlon_mean - mynn25_qvapor_400_latlon_mean\n", + "mynn25_cldfra_diffs_latlon_mean = mynn25_cldfra_1000_latlon_mean - mynn25_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.795825Z", + "start_time": "2018-08-17T19:32:14.692617Z" + } + }, + "outputs": [], + "source": [ + "mynn30_tk_diffs_latlon_mean = mynn30_tk_1000_latlon_mean - mynn30_tk_400_latlon_mean\n", + "mynn30_qvapor_diffs_latlon_mean = mynn30_qvapor_1000_latlon_mean - mynn30_qvapor_400_latlon_mean\n", + "mynn30_cldfra_diffs_latlon_mean = mynn30_cldfra_1000_latlon_mean - mynn30_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:15.004530Z", + "start_time": "2018-08-17T19:32:14.798242Z" + } + }, + "outputs": [], + "source": [ + "temf_tk_diffs_latlon_mean = temf_tk_1000_latlon_mean - temf_tk_400_latlon_mean\n", + "temf_qvapor_diffs_latlon_mean = temf_qvapor_1000_latlon_mean - temf_qvapor_400_latlon_mean\n", + "temf_cldfra_diffs_latlon_mean = temf_cldfra_1000_latlon_mean - temf_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plots" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:15.198223Z", + "start_time": "2018-08-17T19:32:15.007022Z" + } + }, + "outputs": [], + "source": [ + "ysu_ptot_400_latlon_time_mean = numpy.nanmean(ysu_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "ysu_geopot_400_latlon_time_mean = numpy.nanmean(ysu_geopot_400[:,:,latlon_indices], axis=(0,2))\n", + "\n", + "myj_ptot_400_latlon_time_mean = numpy.nanmean(myj_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "myj_geopot_400_latlon_time_mean = numpy.nanmean(myj_geopot_400[:,:,latlon_indices], axis=(0,2))\n", + "\n", + "acm2_ptot_400_latlon_time_mean = numpy.nanmean(acm2_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "acm2_geopot_400_latlon_time_mean = numpy.nanmean(acm2_geopot_400[:,:,latlon_indices], axis=(0,2))\n", + "\n", + "uw_ptot_400_latlon_time_mean = numpy.nanmean(uw_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "uw_geopot_400_latlon_time_mean = numpy.nanmean(uw_geopot_400[:,:,latlon_indices], axis=(0,2))\n", + "\n", + "mynn25_ptot_400_latlon_time_mean = numpy.nanmean(mynn25_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "mynn25_geopot_400_latlon_time_mean = numpy.nanmean(mynn25_geopot_400[:,:,latlon_indices], axis=(0,2))\n", + "\n", + "mynn30_ptot_400_latlon_time_mean = numpy.nanmean(mynn30_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "mynn30_geopot_400_latlon_time_mean = numpy.nanmean(mynn30_geopot_400[:,:,latlon_indices], axis=(0,2))\n", + "\n", + "temf_ptot_400_latlon_time_mean = numpy.nanmean(temf_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "temf_geopot_400_latlon_time_mean = numpy.nanmean(temf_geopot_400[:,:,latlon_indices], axis=(0,2))" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:15.221854Z", + "start_time": "2018-08-17T19:32:15.206843Z" + } + }, + "outputs": [], + "source": [ + "ysu_xx, ysu_pp = numpy.meshgrid(numpy.arange(ntime), ysu_ptot_400_latlon_time_mean)\n", + "ysu_xx_geopot, ysu_gg = numpy.meshgrid(numpy.arange(ntime), ysu_geopot_400_latlon_time_mean)\n", + "\n", + "myj_xx, myj_pp = numpy.meshgrid(numpy.arange(ntime), myj_ptot_400_latlon_time_mean)\n", + "myj_xx_geopot, myj_gg = numpy.meshgrid(numpy.arange(ntime), myj_geopot_400_latlon_time_mean)\n", + "\n", + "acm2_xx, acm2_pp = numpy.meshgrid(numpy.arange(ntime), acm2_ptot_400_latlon_time_mean)\n", + "acm2_xx_geopot, acm2_gg = numpy.meshgrid(numpy.arange(ntime), acm2_geopot_400_latlon_time_mean)\n", + "\n", + "uw_xx, uw_pp = numpy.meshgrid(numpy.arange(ntime), uw_ptot_400_latlon_time_mean)\n", + "uw_xx_geopot, uw_gg = numpy.meshgrid(numpy.arange(ntime), uw_geopot_400_latlon_time_mean)\n", + "\n", + "mynn25_xx, mynn25_pp = numpy.meshgrid(numpy.arange(ntime), mynn25_ptot_400_latlon_time_mean)\n", + "mynn25_xx_geopot, mynn25_gg = numpy.meshgrid(numpy.arange(ntime), mynn25_geopot_400_latlon_time_mean)\n", + "\n", + "mynn30_xx, mynn30_pp = numpy.meshgrid(numpy.arange(ntime), mynn30_ptot_400_latlon_time_mean)\n", + "mynn30_xx_geopot, mynn30_gg = numpy.meshgrid(numpy.arange(ntime), mynn30_geopot_400_latlon_time_mean)\n", + "\n", + "temf_xx, temf_pp = numpy.meshgrid(numpy.arange(ntime), temf_ptot_400_latlon_time_mean)\n", + "temf_xx_geopot, temf_gg = numpy.meshgrid(numpy.arange(ntime), temf_geopot_400_latlon_time_mean)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "for qvapor" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:20.970002Z", + "start_time": "2018-08-17T19:32:15.230320Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,10))\n", + "levels = numpy.arange(-0.5,0.51,0.05)\n", + "\n", + "\n", + "ax1 = fig.add_subplot(511)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(ysu_xx_geopot-4, ysu_gg/9.81/1000., \\\n", + " ysu_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "\n", + "ax2 = fig.add_subplot(512)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(temf_xx_geopot-4, temf_gg/9.81/1000., \\\n", + " temf_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('km', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax3 = fig.add_subplot(513)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax3.contourf(acm2_xx_geopot-4, acm2_gg/9.81/1000., \\\n", + " acm2_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax4 = fig.add_subplot(514)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax4.contourf(uw_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " uw_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax4.set_ylim(0,3.25)\n", + "ax4.set_xlim(6,18)\n", + "ax4.set_ylabel('km', fontsize=fontsize)\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax5 = fig.add_subplot(515)\n", + "ax5.tick_params(labelsize=fontsize)\n", + "contour_plot5 = ax5.contourf(mynn30_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " mynn30_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax5.set_ylim(0,3.25)\n", + "ax5.set_xlim(6,18)\n", + "ax5.set_ylabel('km', fontsize=fontsize)\n", + "ax5.set_xticks([i for i in range(6,19,2)])\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax1.text(s='(a) $\\Delta$ moisture (YSU)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ moisture (TEMF)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ moisture (ACM2)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ moisture (UW)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "ax5.text(s='(e) $\\Delta$ moisture (MYNN)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax5.get_position()\n", + "cbar_ax = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.045, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot1, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "fig.savefig('figures/qvapor_diffs_PBL_schemes.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:26.552419Z", + "start_time": "2018-08-17T19:32:20.979579Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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PAvVA3grcsHRZbFatqsRteOh4Ny8e66JnYIzBkQlUweWy+Ogbm7EsYWNdlBUVVdRVeKir8FDqd10wg0xNmeeifaWrnFHugxtWhfn1UQ/tfRHWLzs/G7sRcGGSqsA/CTwmIr8i6Rb4bHYPNBjmIl316nAkysmzA7Sf7OXo6T7e+6arKfZ7Gew6RU/vGHUVHrYsr4iJ2nsu27185fRzSMYlHYpA77jQM2YxHoSIQjjqJhK1n0eiEI7KuefxR1gl4TmEgyEiKgkPC0uUVzedoNbXxAOHLZpCbXit6LTx5ILhM4dzHULBkarAPw/8CnsoWOf8RswTU0YpXNJREgHoHRzjt88d46WOfoKhCB6XsKbBT7DvCKWlHq7bUM71GytmbDcualUYCgg9Y0L3mNAz5qF7XBiYEODC2oaI4hZwWeDSMC4rikuiuERjD/u5RxS/KG4rilWkuC29YLtjo+X8uquVVzee5NBIFVFdXA3FCNf5pCrw5cAOVZ3MZDAGw3xJVdwzCbt/aJz2k73U15SxurkGz/hJznT2c2lLEeuaillV58ftOi9CEbmo5DEVJiZqi55xt/1zTAhGzr+vqihKXamyobibOv8ky/yTlLpDuESx0lSrXl8+xH8cX8fh7gjXFz3IVBdMpadpg0OZTwb+MRH5jKqOZjKgTGOy8MJgLnHPJGxV5XTXEO2nemk/2cvAsH27/cvWlbO2tJ/qUg93v275ubq19rcR788RVRiYEHrGrXOS7hkThgLnL0j63Moy7ziby21J1/kmqfUHFlXKSDUTLgY2eS1eDF7Ceq99/EeCK7nG/3xaL2guhv5OcxktnaQq8I8AJcBfiUgQu/ugAFFVLclUcAZDMgsR91QwTN/QOMvrKhAR/ufxQwwMj7Oyzs/Vq6tZ11RERXHCV2GgHQXCUTg1ZHGs3+LkkEXvuBCO2iYUUao9ARr8AS4ti8naP0mZO7XeH5kqT1zl38vxUAuPTe7gEs8J9gU3sMzVz1rvxf3Hp8MINr9IVeB/DfwkaVkp8I/pDcdguJiFSHt4LMCRWJZ98uwAbhd86PUtuCzhLVeVU1lcfUFXvnhZZGgSjg24ONpvcXzQIhQRXBJledE4WyttSS/zTVLjC+C2Zu9rneka8kyy3eJ6hGd8r2L55F4q3d08MX45pf178VAYw/MazpOqwP8QqFXVj4tIFXavlPcC38xYZBnElFHyg4WWSZ7ad5Jf77bHBKkudXPl2jLWNRWdy4zrK7znSiORWJZ9tN/N0QGLvnFb6hWeKTaXj7C6dITWkrFZSyDpFHU6MuDWyGFORDZzwHMdV039gid8b+Sg5xouDz2ahggNTiJVge8E7heR7cDVwFPAdlU1nUsNaWW+0lZVzvQMs+fwGbZtWM4KXw+ry4Pccmkl65uKqSlzX9APW/vbGA7Asf7zWXYwIliitBSPcmm9Le1q79ScpZB0iTvdZQsBtgUf4lf+O+hwr2dV+ABH3VtZGX6RivgdQYaCICWBq+qAiNwC/ABoB96gqpGMRmZYUsxX3IGpEPuPdvL84TP0DIzhdQsrK6ZYsbKUhkovDZXnx0YJ97ZxetjiaL/F0X4vvfEs26dsKu9jVekIK+bIsuM4LdueiXIdZF34Odo8V3Ft4CcU6wilOpSx/eU7InIb8GXs8Z5+jj3xzGjSNh8E/hKoAv4LuEtVc1qXmlXgInIISCz0eYA1wEsiMg6gqpsyF15mMOUTZ7CYniT3/PdTjIwFaKzy8rrt1WxuKbmgpj18to1j/S6O9FscH/Cdy7JbK6Nc3hiiVY9S4w2k3DvDqdn2bGwMPc1p1wYOeK/n1sC9WETP9T4wnCdWFv4u8B7gt9gzg30KuDthm2uB/wW8AugCfgT8VWy7nDFXBv6BrERhWDIsRNqBqRAHjnZxrKOPd1xVbA/qdGkpFSWVNFX5zm03PhVh38Hj7Oty0T3mB6Dcp2ypj7CmJkpT8BA+V2rd+fIl054NN2G2hh7mSd8bOOLeRnW0i32eneyc+jFe00M8kdcDe1T1PgAR+Sx2Fn53wjZvBL6jqi/GtvlH7GuBzhW4qv42W4EYCpeFSDuxtn3wWCfhiNJY6WUs4KOsyM3GZrv3alSVo+1HeaHTRXufRVQ9LC+PcsuaEGtropSPHrSz7Ajgmj3OQpB2Mk2R4zSFj3HQcw3XTN3PoFXHi55r2RZ6OOuxdPc69o/GZcDzCa8PAPUiUpowBaQXGE/YRoBVWYpvRrIzCrxhSbLQEgnAifZ93PtoD163cNmKEq5YXXpBtj3Q0c4LZ13s7XIxOuWl2KNc1Rzh8sYIdaVqD940xqz1gnR383OKtJPZGnqEX7rexXH3ZawN7z13QbNKe7Kyf4eI+xoReTbh9T2xidQByoFzs4Op6lRsBrFy7N8igF8D/1dEvhZb9ifMmRJkHiNwQ1pZaLZ9tneEPYc6qPFOcP3GClYt8/M7O2rY1Fx8rrYd7GnjcK/FC2ddnBjyIShraqLcdkmEdbVRwj22tKdmmTZ7qUg7kWIdZVPoKfZ7d3LV1M/xs4493pu5eeq/EGbvy74YMiHuIg8sr5hfzMdHFOApVX3bDJsMAUXxFyLixXbjYHyZqt4vItuAJ4AgcB8mA88+5gJm+kllPJLpxB2ORNnXfpbn9h+leziExyVcva4MAMsStq0qteV+vJ3nO10c6PYxFRaq/FFuWh3i8oYIvqFDEIXwDMlkJm6myQdpJ3NJ+HlOujdxwLOTzcEneM73Ss641tAcOZr2fTkk454Ph7Hr4HE2AkcSx34SkdXAj1X1U7HX7wEasxrlNCw5gRvSx2JKJNZQO794uo+9J8dpqPTy2iuq2dJ6vifJRFcb+7tcvNDponvMh9tSNiyLsq0pQkPgRbuuPUOvOCPti7GIsi34EL/1v5VRq5JrAz+hMZre2e7zUNxx7gM+LyI7sevffwd8J2mb7cAnReQmoBJ7eJE/ymaQ02EEXsAsdGzsONP9t7LQbBsgGIrw/J7n2bC8iKpSD9esK+fSFSWsqvMjIkT72jg2aJdIDvf5iESFhrIor14XYkt9BOk/ZA+vN01dOx+7+WWbZdEzrAgf5Ih7OyvD/4kAITx4CC2q3TwWNwCq2i8i7wa+DSzDvt/lMyLyLuDjqroWu9vgjcBBIAx8WlV/k6uY42RN4CLyGPBhVX0qW/ssdBYr6HS2P1u2Heo9zDPHRnmqbYSJYBRFuXZ9BfWV9i3tw2fhhU4Xezt9DAcEv1u5oinC1sYIVeMH7UamuYFwsdIuZFnPxGXBxzhbtJrnvTezKbSLJ31v4Lqp+6iNdi6ovXyXdxxV/Rnws6TF3449UNUocFfs4RgyLvDYHU5vAq7P9L4KkUxLerHMJm6AXU89w5NtI0wGo6xp8HPDxgpaav1E+9o4Pmix+7SHo/0WIKyqinDzmgirIgftgaLGp29zMeJeitJOxMcklwYfZ4/vVkbDh3FrkOe9N3NL4DtYGbygacgM2cjAr4/tZ5a+AdnByRcwnS7q6ZhJ3lPBMEUTLwEwNB6mpcbHzk0VLK/2Eepp4/n9Lp46bd/SXuJVdq6MsMndRoU3aN/3O818v0ba6WNV5AAnIpt50XstlwYf51nfbRxzX84l4Rfm3Vb9svNdOwslG88nMi5wVf0YgIjcmup7orgcLdt0kI/CjjOTuMcngzz97PM8c3SU23fW0VLr59VXVGOJMNbZxm+fdfFsh4/xkFBXGuX1G4Os1YMzDstqpJ0Z4oNd/cb/TvqtBuojJ3jR8zKaw+0UMbHgdhNlDkbo2cAxFzFF5E7gToDmlpYcR5N+8lnYMHupZGxiiqeeeYHnjo0SiiibW4op9tn3OPSdPsLuUy72ddsXJdfWRLimJULjVKwnSdIFSSPt7FClvedu6rkmeD+93mbOutewJrw/bfsw2XnmcYzAY3dF3QOwbdsVBVGMK2Rpn2OgjW/8zxnGJiNsaS3h+o0V1Ja5eenoUR542sWxAbsL4OUNEa5uiVA2etC+DSJB3EbauWFzaBcdrks47LmK2wLfoiSDsyVemJ2bqXXThWMEXgjku7AhNWkPj02yd+9+btxUgVjCa66oprbMQ0Wxm/0Hj/HD0y56x72UepWbVofY3hTBNXAIkvywUHEbaacHD0EuDz3Kbt9r6HStZm14L8NSQ5kOYrHwOTwN2cMIfBEUgrAhxUwbGBiZYNfeE+xtOwPAusYimqp9NNf4eHb/cZ7tcDMe8pyrb2+ujxLpOQQDF7azEHEbaWeG5kg7xyObOeC5lopID4/638qW0BOsDz+X69AMKWAEvkAKQd6pinsiEOQXDz3DoTMTuCy4YnUp122oIBiO8rPHj7Gv20Uk6uGSGrtMEq9vRxJub5+vtI2ws4N9QfNhfuW/g5c8l9MYOc5BzzW0RNoo1px3HDPMQdYErqors7Uvw+ykIm5VZXBkklrtoFiVoYkw120o58o1ZfSeOc79u4Y5NuDCbbnY2hhhq7+dGt/UgurbRta5pUyHWB9+lkOea7gy8Au6Xa3s9dzIy4I/z3VohjkwGfgSYy55h8MRDux7gafa7bsm//S1y/G4LO7YMsKLPePc+8jQufr2zmVnubyqj2L3hbPrpZptG3E7hw2hZzjl2sAh79WsDz3DQe+1dIVX0BA9OfebDTnDCHwJMZu8JwMh9jz/Ak8fGWF8KkpDpZdXba2k+6Q9WcKBbntasjr/BK9p6mVD+eAF/bfnUyIx4nYeLiJsCz7M4/43oQgV0V7GrEowAnc0RuALZELL86oOPpO8ZbANEaGvN8DDB4ZYU+9nR90Io1Mhdh0M0Dnqw2MpG8oH2FrVR4N/4tw8kqauXVg0RE/SHG6nzXMltwb+g3IdznVIhjkwAl8CTCfvruP72dU2QqnfxW1bq2mt9fG7W4K8NBDmxwc9BCPCMt8ktzb0sbli4NxckqYHSWFzeei3dLlWss97E9dN/YTTrvW4CdIUSe/Qs4b04EiBW0Quym4L/db6TJAsbhls42hXgF1tw5zoncLrFnY0hdizf4DnzrjoHPXa426X2dl2Y9HCsm0j7PylSMfZHNrFXu+NdLjWcsx9OQNWAzuCD7Iikv5x1g2Lw5ECn475lCuyJfvE/TilnDJdtm0NtQPw0ItDPH5ohLIiF1c3h5mKwLNnXAQjQq1vklsa+thcMYjfdf6i5FziNrIuPNaEX+CEexP7PDfy8sB3ecb3ap7xvYpQ0Mfa8N5ch2dIIG8EPh+mk2mmpb7QyQ8Wy0y1bWuonUAoynPHRlld76exyseG0l7GGl10j0XZ3eHGbSnrywbYWtVPU9H4uWwbphe3kfXSwEK5IvgQD/vfzhHPdq6fuo/d3tfwgvflhPCxMfx0rkM0xChIgTuFZKmnS+izSTuqyomeAPtPjnPozATBsDI8EOZ5YH+Xl6mIUFsS5Zb6DjZXDqSUbRtxLz1qop2sCu3niPsKXIS5Ovhz9nArEcn5ROyGBIzAs8hisvTZpJ3I13/dRddQEK9LqS9VAmF49owbl6Vsqotyqf8Yy1PItsGIe6mzNfQIKsJhz9X0W01cOfWLc8PNjkkFxTpiJoHIMUbgDiUVYQ+Oh9h/cpyTvVPcvnmIsSAs87uJlgq9Yxanhy2qvQFuru9jc+UARbFs2wjbkAouIuwI/pplkTPs8d7Mb4pu56qpB6iM9vKQ/+0si5zhquADuIjM3ZghIzhS4IU4ocNCZ3BPzrAngxFePD3BvmN9dAzbU9dU+qN8fVeErkAxIFR5A1zue4mV7g7qXP1IAIJd9l3uRtKG+bIicoiqQDdP+V7LY743szG8mw2hZ9jnvZEnxMu1U/fjXuTEyIaF4UiB5zsLlTVcLGyAYE8bkSj4PXCq1+J/9nspckUocUUYj3gYCljUWlNc6TvGSs9pqqwRBrpsUQ9c1JrBMH/KdYCbA9/lee/NHPJcw7LIaS6feoS93ht41Pdmrp+6Dy9m0oZsYwS+SGaT9VzjjkwnawDtbyOqcGLQYn+Xi0M9HtaVDVHsCtM+UgnAZMRNg6uXy/wdrPJ0EOy256BUbGkvdAaU5GmxDIY4bsJcGXyQZZEOnve+nBFvNZtCT3HYcxUHPVezNfRorkNcchiBp0C6M2qwJZ18+Weq6xAAj/Y0sn+whvGgriHhAAAgAElEQVSIB4sIgvLicA0WEeoip1gbPkpj5CX8TNLdO8XpeR3N7MxX/Eb4uSUX52tl5OC5kspBz8tYGT7AltCTi27XMH+MwGNkQtJgizqRuKTjRBWOnOqlP1LFOu9xTocb2TdWxKRY9rCsGqFq4iVqJtqpnjyGW4MADMceuWY6gRipZ4Z0zCs5nzZmO48V2s8tge+yx3szJzyXMmFVsG3qN+zz3cilwccpV1O8ywZLSuCZKHfA3JKGC3t+jEeLONhfRpfVSo9rBWHxgipPTGxFLQ8unaBu4kVqJtqpmjyBlWdX+Y3UF48TJgGeO4YpWvkpvtITHKu6ld943wYID3nfypae71MW7MpGmEuaghH4fG+SWWjZI5lkWU/XRS+obtp6S6iMdhPBw2HPZZz0bgaNgtg9SfzhIaonj1Ez0U7FVAdSYP1rFyOkfJG/E6SbbQRoGNtH2dRZDi17I5OuKtzRKfbXv4NNPf9N5dSpXIdY0Dhe4Nm4ezGZVEQNM/enjqpwtAe6rVY6XasZtOrAZ+GJBghZfgA84TEqA8epCpykMnAKX2TxM4J3D809EW19pbXo/WSbpSjGbJDK70vq9LC8/9/pbn4Vo1WbkUiQA3VvpenEDykZTd9Ihn7P/H+HK/oLd4JmRwp8utEIF8NsAzwlshhxj0aLCaqXYpnkxb5SnvO9wl4Ru+XRrQHqoqeoD5/G6j2GPzyYOPPYopjPFzG+bT6K3LA45ivsM8PT/4Yur5j+v0MrGqTh1E8pGjtJz/JXAkrE8s43TMM8cKTAxeXBW96Yvgana6vp2ov3O81bi2ZYFgwGOXHiBO3t7bS3tzM6OorH4yEUCoEPPB4Pra2trF27llWrVlFXV4dIupRtMDibrq4ufvCDH9Dtegsbb7qJxsZGLrnkEgB+z3wP0oYjBe4EVJWJiQmGhoYYGhqiv7+fkZERNm/ezOjoKA899BDDw+f7gViWRX19PevXr2fVqlU0NjZiWSbLNSxNGhoauPPOO7n//vt5+OGHAbj22mu59dZbcxxZYZEVgYvIbcCXgSbg58B7VXXxRd9FoKqMj4/T19dHd3c3vb29DA4OsmbNGsbGxmhra2Ng4OKuUM899xwAIkJdXR3r1q1jzZo1NDc343abv4cGQxyfz8eb3/xmWlpaeOCBB3jyyScZGhrKdVgFRcaNIyJVwHeB9wC/Be4BPgXcPZ92otEokUiEaDSKqhIIBJiYmCAYDBIKhQiFQkQiEUpLS3G5XIyOjtLX10c4HCYYDDI0NMTIyAg1NTVMTk7S1dXFxMTERft56aWXcLvd+P1+qqqqKCsro6KigpqaGqqrqykrK6OsrIzy8nI8Hk8aPiGDoXAREa666iqam5v59re/zcGDB3MdUkGRjZTx9cAeVb0PQEQ+i52Fzyjw7u5uPve5zxEIBNIezOjoKJWVldTV1RGNRqmsrKSmpoa6urpzgvb7/aZebTCkkaamJu6++27+8z//M9ehFBTZEPhlwPMJrw8A9SJSqqpj073B5/OxZs0a+vr6sCwLl8t17mdDQwNlZWUEg0EGBgZwuVy43e5zj2XLllFcXEwoFGJychKXy4XP56Ouro7KykojZoMhR/j9ft73vvfx/ve/P9ehFAzZEHg5cDL+QlWnRCQcW35O4CJyJ3Bn7OXUW9/61gNZiG0x1AJ9uQ4iBfIhThNj+siHONfnOoBCIRsCHyKhN56IeGP7HUzcSFXvwa6PIyLPquqOLMS2YPIhRsiPOE2M6SMf4hSRZ3MdQ6GQjX5uh4EtCa83AkdUdTIL+zYYDIaCJRsCvw/YKSI7Yz1S/g74Thb2azAYDAVNxgWuqv3Au4FvA6eBHuAzc7ztnkzHlQbyIUbIjzhNjOkjH+LMhxjzgqzceaKqPwN+No/tHX+C8yFGyI84TYzpIx/izIcY8wVzr7fBYDDkKY4SuIisFpFHRGRcRA6KyE25jikZEfmwiHSIyFgs1g25jikREXlMRK6JPRcR+aKIDIvIWRH5QK7jg4tiLBaRfxeRERHpEpF/FBFH3OKaGGfS8k+LyAO5iCmZ5BhF5A4RORE75z8Wkcpcxhcn6ZwvE5H7YjH2xs65K9cx5iOOEjjwfeAhoA74HHBvbsO5EBG5GvhzYCdQA+wG/jmnQcUQkdtE5KvA9QmL3wPcCmwCbgP+t4hsy0V8MGOMHwE2YMe4FbgK+GAOwjvHDHHG120D/iL7UV0Ux0UxishW4IvAO4FmwAv8ZW4iPBfTdJ/lJ7G7Fzdgn/NbgNtzEF7e4xiBi8gV2DchfEpVx1X1W8DbHPaXOYI98Xv82oELexJ4J3A9dlyJd7feAfy9qp5R1f3YY9K8PRfBxZguxlcAn1fVDlXtAr6B/YXOJdPFSew/g6/hjItw08X4HuCrqrorNljc/4fdeSCXTBdnGNs9FvYozk76HuUVTho+bztwBPiWiLwGOA58UFUdMyGkqj4rIj8F4rNBTGJnEDlHVT8GICKJ43UmD2PwInZGnhNmiPF9QOK8WzuAs9mMK5kZ4gT4KPAb4BCwLttxJTJDjNuBh0VkD9CK3XHgrhyEd44Z4vwksIfzUv8N9vhIhnnimAwcO/u+Bfgl0AJ8E7hPRPw5jSoBEbkFeBNwBVAG/DsOK/MkUc6Fk9ePxpY5BlV9UVVHRaRERL4EvBm7fOYoRGQL9n8vn8hxKLNRC/wu8DbsPzCt2LJ0Gl/ELj9WYpfPVpDjslm+4iSBA+xX1XtVdVJV/xnw4KxxE94I/IeqPh8biOsjwA4Rqc5xXDNxwTAGQDFJQxg4ARG5GTurXQ1coarpm0QxDYiIBfwbcFce3EH8r6p6VFUHsEV5c64DmoY3Ap9Q1WFVbQO+hH2NxjBPnFRCOYEtbMDuQYH9B8ZJX5gJ7HpdnDB2XdxJMSYSH8bgSOz1JmBv7sK5mNhkH98DPqCq/5XreGagDNgG/CI2mqULsESkS1UbchrZhZwg4TuE874/cZIH4g8B47kIJN9xUgb+ANAkIu8TkSLs2t1JzsvHCdwP3CEiV8Ri/ATwgIOzsnuBD4lIdawHze3AD3IcUzJ/A/yZg+VNLFP0qKpfVf3A+4FfOUzeYP8h/KCIbIj9V/jngBM/158BfyMilSKyAvgj4Ec5jikvcYzAVXUQeCXwh0A39r9Zv6uq00+BnQNU9THsC1nfB7qw63fvzWlQs/M14AXsP4Q/BO5WVSf9QQT7QuvXRSSc8PhNroPKU/4d+Bfsi4IHgWewpzJ0Gn+OfT3mGPA48F1V/WFuQ8pPxEF+NBgMhhkRkZU7V1jHP3Gzb17v+/WxMJ95NPQXqvrFDIWWMxyTgRsMBoNhfhiBGwwGQ55iBG4wGAx5ihG4wWAw5ClG4AaDwZCnOOlGHoPBYJgVn89F/bL59UKp6BHse4UKD5OBGwwGQ55iBG4wGAx5ihG4wWAw5ClG4AaDwZCnOF7gIvKnIvJ2ETk8w/r3i8gdad6niojTBiqakWzEm3AefpMwZomKSCTh9Y2xZeFpHteJyMrY+osG7xeR/46tW5lwTMltnMjE+TYY8hVHC1xEyoF3AX2zbPZt4O7Y6IBztfdZEYmKwyYino1MTCk33zYTzsMPVfUWVXWrqht7kKxzr1X1t7G3NCcsiz+eiK0LA9eKSEVC+8XY84yGk3ad3M5K5nG+DYZCx9ECxx628z7sMbfdIvJlERkQkediE7iiqlPAw9jzAc5I7Av/LuyZfv5klu0OxJ52iEi9iNwiIvvEnoX++/HJG0TkJhE5KCJfEZFxEdktIq8Xkf2xmbY/nLDdXhH5PyIyGov9sti62dp+RkS+gT31FCLyXhE5KSITIrIroY3EeC/4TyXWzuFZ2px2/zOdhzRNbxfBnrj6dQnLXgM8Fls3K6meb4NhKeB0gb8F+8sOsAZ7nsxm7LGDvxebKYXYNm+Yo607sL/4fwP8nohUTbeRqm6JPW3GHhz/O8AHYq8ngS8kbL4ReyaZ+tjrL8fiuAH4dEKWeRn2YPvV2BMLf09EWudoezu2aHfEMuAvAa/HnobqidhxJMfbPcdnkNhm8xz7TyTxPKSDH8XaTGx/PuNBp3K+DYaCx7ECj8n5SuyJeAE6VfULqjoBfB5Yjj0FF8A+4No5mvz/gX9W1Q7gQezJdOfiduyywZOqOoQtzTcmrB8CvhKbXm1vbNuXVPUQMMJ5sQ8A/6SqIexprpYD75yj7R5V/UrsPcHYZ7EfaMAuNdSkEH8yiW3OdWzAtOchFU6ISCDhkTwL0P3Ay8WeB9OHPTP9/Sm08zux5amcb4Oh4HHynZg12H9g4pPydsZXqGpIRHpj2xzFFmSJiJSr6khyQ2LPuagJddh/Au4VkS/OURZYAbxfRBInbXDL+YmWexImnIhiSzuR+B/Ijvh2qhoVkX7sOQB3ztL2UFJbHwVuxB4Ef3SWmKfbf5zENmc8NlUNJCxLPg+psFJVu2ZaqaojIvI48GpgCnhGVYfFnq4slXZmPd8Gw1LBsRk45/+4xL/VjfEVIuLFzm5PxxZFk34m8yfAV+IvVPVx7Aujb5ojhh7giwlTaVUAVycILtXZMFoSYvdhZ9Edc7SdyO8DK4FVqnoTcFEvjhhRLjyndbPENNexxUk+D+kiXkZ5C/Df83zvXOfbYFgSOFngvUAAiNeqG0Xkj2IC/DDwrKqeja2rBiZjpYwLEJFV2DXpe5NWfQm4e4Z9R4BabMm8Q0Q2ikgJdo34ows4liqx5/r0Ax/H/q/h8/No2409ka4/dvHyg4BHzqes8Xg7gFYRWRbrafLuWWJK9diSz0O6+Cn2FHqvBX4yz/fOeL4NhqWEYwWuqmHgaeDS2KLnsLuaDWFnzncmbL4F2DVDU3cBJUCbiHTEH8BngOtEZMc07/lpbH9dwEew67M92GWHDy7gcI5h/xHpB24B3qaq++fR9n9glzB6sOc8/AtgHfDHSfGOAp8FngJ2A8/OFFCq+5/mPKRCxzR9uF+f1O5ALOaDqtozj7Zh9vNtMCwZHD0npoh8CKhQ1Y/Nsd1nsOvMX5ltu1wgIjcBX1XVvOl7nkyq5yFbOPl8GzKHiKy8dZ3n+P99Y8m83nf/i0E+8vMJMydmDvg68DoRmfFiq4h4gFdh9+82ZIY5z0O2MOfbYDiPowUe6972r8A7ZtnsduwMdyI7US09UjwP2cKcb4MhRs4zqrlQ1a/Osf7fsxTKglDVR4C8LZ/Emes8ZAunn2+DIZs4OgM3GAwGw8wYgRsMBkOeYgRuMBgMeYoja+C1NdW6orVl2nVR0j66qsGQFSIR53bZBQiHs3Nj66FD+/pUdVlWdlbgOFLgK1pb2PXbB6ZdN6HlWY7GYFg8Q8PBXIcAwGBf7jvvXLG9+WSuYygUHClwg6GQyIW8nSBqQ+bJSg1cRO4SkU4RGRGR+0Wkce53GQz5zdBwMKvyHuybOPcwLA0ynoGLyBbgb7FnXXkR+Brw99gj7M0LUz4x5AvZEnc+yHqgx4w5limykYHfANyvqrtjo8fdC2zOwn4NhqyTrazbiZn2QM/YtI98QERuE5EjsekRvy8iZdNss1pEHoltczA2zlFOyYbAv4Y9pyIiUoN9K/STWdivwZBVlpK481XU0xGbXvG72MNUN2OPff+paTb9PvZ0fnXA57h4iOqsk/ESSmz6LkTk/cA92GNLvyJ5OxG5k9gQsa0tyzMdlsGQVjIp71wKO5/FPA9eD+xR1fsAROSz2JOmnJsvQESuwB5z/1Ox2bW+JSJHRcSVpsm+F0TWbuRR1a8BxcBfAffFRpVLXH+Pqu5Q1R21NRdP92jq3wYnksmSSS6y7ULJqufJZcDzCa8PAPUiUpqwbDtwBFvcfSLyDBDMpbwhCwIXkb8WkTsAVHUSe0KCasAY2ZDXFIK4l6iwkyknYc5XVZ3Cnjg80VG12JOx/BJ7isRvYieifnJINvqB9wIfEZEngbPAnwH7VbU/C/s2GNJOJsSdTWHnM16/j5rG+nm9p/TsCDBxjYgkzlB1j6reE3s+BBTFV8Tm3HUDg0lN7VfVeN37n0XkE8B6YO+8Akoj2RD4vwEbsS9cFsV+vmU+DZjyicEJ5LO441TXlV60LN+lniJPqerbZlh3GLsOHmcjcCRWMYhzAjhX9o3NR2sBidtknWxcxAxjZ91/lul9GQzpINO9SZzQiySRZKkvEaEnch/weRHZiV3//jvgO0nbPAD8i4i8D7v3yfuAk9h18Zzh+FvpTfZtyCTZ6vqXT0yXpccpRLmrar+IvBv4NrAM+AHwGRF5F/BxVV2rqoMi8krgK8AXgWeA39UcTyrsaIEbeRvSRbZvaS9UZpP7bDhd/Kr6M+BnSYu/HXvEt3kauDKbcc2FowVuMCwUI2xnsVDxG2bHsQI32bdhISy1+rVhaeNIgZtJGwzzJZN9sg0Gp+JIgRsMqZJucRthG/IJI3BDXpIucRthZ56q2uJch1CwGIEb8o6FytvIenEYETuPghd4sYwA5qJoITBfcRthLwwj6vyhYAUeF3fiayPx/MQJ4h7oGSvYrnBG2PlLwQk8WdzJ64zE84dcinu6G09SvRnF6aI3wi4cCkLgs0l7um2NxJ3PfOSdLnGn625BJ4o+V9KurPDmZL9LhbwW+HzEnfw+I3Fnkk1x5/r27kyWZbItbCPq3JC3Al+ovA3OJJu3vsdJlGemZJ4JQWdLzkbKzicvBW7kXVgsVN5xkaWjhOKEunUmxJwrCZvvaHbIO4GbX4zCIV1ZdzpFngnSLeZsS9l855xLXgnc/CIVBpkql2RT5JkqY2RKzrn87rjGjuds34VO3gg8nb+A5gJmbshWnduJ3eTSLeZcCNmI2HnkhcBN5p3f5OICZbbIJzEbARcejhe4kXf+UgjiTpeg0/17nGsZW0PtOd2/wcbxAk83pnySefJN3OmQdLoEnQ0xG/kWDlkReGzC0L8FaoHngDtVtW2u95nsO79wsrgXK+l0/C6mW87WUDvRqNI/FqJnOETfSIioQlWJm62r7G6Rzx8fYyoURQQsESyBihI3axuKAGg7M0E4qlix9SJQVuSmscr+vE71BUietrfU76KmzAPAyd4AADp86tz6Mh9UFytRhdNDktZjNlxIxgUuIpdgz+T8VuAR4G7ge8C22d5n5J0/OE3cucyoFyvpmbJjVWV0MkL3cIjJYITLVtiC/ubDXZwZuPDzb631nRP4E4eHGRgLX7D+ksYi1jYUof1t/PxZH2PBCyW7uS7Cm7eEAPjOoz6CkQvXb2sM87qNdpvfesQfW+o7t/7qljCvvCRMOALfft6HIXNkIwO/GXhYVX8BICL/AHxaRKpVdWC6N1hEMhKIKZ+kl0ITdyrSXoygUy1dTIWi+DwWAM8dG2X/qXF6hkMEQlEAfB7h0tYSGGjn6kaLSD3UlSq1xYrbBaoBtH8YgPdvh6jaD439dEkA7R8E4N1XBAlHQTm/jT/BCm+/LHRRBl7mO7/gjq0X/w6U++31kd5DvH3FxTdIfSKlT8GQCtkQ+H3ALxNebwcmAJNi5ymFJO65pL0QYc+nxjw8EeZU3xQ9w0F6hkN0D0wwMgV/ecMUPjdMDLmIhlxsWhalrlSpK7F/MmDvY3N99KI2JSFh9s4xvWx1sS3bqa5DFyyfin0sjdO9KQhTo/bTppnWj4AlsKIkt+PNFDoZF7iqdsefi8hbgK8CH1HVC/6vE5E7gTsBWluWZzoswwIoBHGnS9jzvRAYiSrdp47QOWJxZkS4YVWYCj+0dbh4oN2DJXYG3VppSzqe9V6/MsL1Ky/+j1QVhgJCV0cH/UEf/VN+BoM+omrXsQW7rm3/VAQQUazYT4Hzy1FEWs6tS9wm/tPgTLJ1EbMW+AZ29v1eVf1p8jaqeg9wD8D2bZdr8npDbnGSvOcr7sVKe76yjva1EVFwW9A1KvyizUPXmBCO2vXgIrdyaUOUCn+UTXURVlRGqSlWXFZCJtwPU0A4KgwGffQH/QxM2aK2n/sJqwWssY/RFaLKO4Xbsi8eKkI4ClEsu3SCoCqxUon9c7rXUSAajcae23o3OJdsXMQsAR4HngQ2qGpO/qcy9e+Fka/iXoy0UxW29tsdqUam4OyIFXsIZ0d93LQqzFUtEfxuRQR2LI+wLHqahqIJKj1BZAqmuuwvYAUwPmzF5FzNwJSf/ilb2kNBH4k5cIVnihpfgNbiMWp8AXwjbVRZI/gt55ynufhfuQ6ggMhGBn470Kmq78nCvgwFRrakDamJe6Krjc5RC5coK6ogGIZ/esKWrCVKXYmyuS5Cfaldm64sgncu33vu/RGFnkARnYFi+gJF9AdtWY+Fzx+nRZRq3xR1vkk2lA9R4wtQ4w1Q7QvgsZThM4chgn0laYndyeHxl1GxfMO83lP80mmgMzMB5ZhsnP7LgBtFJJy0fI2qnszC/k32vQgqK7xZz8LTKW1YvLifPz7G8dM9nB0RBibtbnOrqyOsqArhdcPvbAxRU6zUlyqe2EXDqa5DBDphMOijM1BF12QxnZPF9ASKY6UP8FoRqr0BVpSMUuObOifqSu8UVlLlYvjMYZw51qIhl2TjIuZdwF2Z3s90GHGnh2xI3AnSVlX6R8Oc6A0wPBHmlkur0P42Dhzz0Ddu0VQR5fLGEMvLlcay870/Lm+0n49OQduxs3QGiumcXEPXZDFTUfsr5pEI9f5Jtlb10Vg0TmPRBBWe4AU9RqZj+MzhOY81n+jv7J57I0PKFOw/YEbe6SUu2MWIPJPd/eIsRNzHuiZ54cQYJ3oCjE/ZMq7wKzc29OCy4K2XhvC6LuyeFwjBSwOxmveIxZmhSKwMshpBWea3yx+NReM0FE1Q6wtclFXPhJG2IVVSFriIbMLu9mklLlfVB9Md1GIw4s4s2ZxMIF3SBlvcqkpfLMM+2RvglZdXUVbkpm80xKm+KVZXhlhRFWVFZZSqIj0nbEvgTFzUIxZnR4WBifNfgypvgNaSCRr8EzQWjVPnn8Rjzb8jVaGI2wg7e6QkcBH5AvAHwEtJqxRwjMCNvAuDdGfb/aMhHnlxiJO9U4wF7D7VZX4XQ+NhSieOsaMSrrzGzrAjUegZE/acddE5IpwdtegZt7vgAZR5lQbfMJuXTdBYNEFD0QR+18LvHDbSNiyGVDPwdwObEm/KcRJG3PlPuqQ9NDrJ8SMHOdETYH1TMVtaS3BZwqneKVbW+Vi5zM+KZX6qpl5CdZzucaEzllV3jlh0jwmRmKyL3EpjeZTraqI0lkepDbRT5gkt+lgh/8VthO0MUhX4UaAecNxZM/LOX9IlbVXlN4/u5mjnJH2jdmenUr+Lllr7xpnKEjd/+tom+juOcnZUeOaAReeol65RIRS1Ze11KU1lUa5qidJYFqWpXKn0K8Hu2I01EcCzsOOE/Bc2GGk7kVQF/kngMRH5FUljmOSqf7cRd/6yWHEPjkxw7HQ/k1MhblxtC/t03xTlxW6uWF3Gmno/Lgs6h0L8at8gZ7sH6Ry1CEZsobstpbFM2dYUobE8SlOZUlN8vuY91XUIhiE4vLjjzHdpG2E7n1QF/nngV9hjeV88ek6WMfLOPxYr7Y7uIQ6+1M3R030MDNs9ousrPNywqhER4V031nO8N8DhjgkePzzMRKw3iUuU+lLh0oYITWV2SWRZsWIlXIqf6jpEcHRxxwf5LWwj6/wkVYEvB3ao6mQmg0kFI+/8YqF9tgeGxzl6up9tG5bjcbs4erqPPQdPs6LOx5WrqljbUERZkYtDHRMcOjPBkc5JgmHF51IuqY3SWhmlqSzKslLFbV28z+TR9xZKvknbiLqwmE8G/jER+YyqpiFXmT9G3PnDQrLtUDjCybMDHD3dz7GOPgZH7Fyh3jvIqroiXtYaYeeqZsIRpf3sJL/eN8ixrgDhqFLssW9f37AsyqqqKK5phA3pkXa+CNuIemmQqsA/ApQAfyUiQezugwJEVbUkU8HFMfLOD+abbQeCIULhKGXFPnoHx/jeL1/A7bJY2VTNNWuKWNPgp7rUw1ggQtsZO9M+0RMgqlDuU65oirBhWYSWSp3xJpmlIG0j66VLqgL/a+AnSctKgX9MbzgXYsSdH8xH3KrK2d4R9hzq4MVjXWxZ28jrbthEY205t99Qx4paP26XMDQe5vCZCQ6f6edU3xQA1aVurmkJs6HOrmfPdBt6oUvbCNsQJ1WB/yFQq6ofF5Eq7F4p7wW+mbHIsMVgJO5MFlIm2dt+lt37T9IzMIbH7eLSSxrZ0Rw5d8NNRbGbp9pHOHxmgrOD9i379oXKEBuWRakrCWRM2k4WNhhpG6YnVYHvBO4Xke3A1cBTwHZVTc+VoFmYThRG6rljPuJWVTr7R2moKUNE6OwdwRLh1ddvZMuaBvzjx+gejvLwgSEOn5mgd8S+SWZ5tZdbLq1kfUk3NcWBWfdTyOI20jbMRUoCV9UBEbkF+AHQDrxBVTMz83AKGKlnn/mIeyoY5oWjnew51EH3wBi//7odrGis4tZr1uGyhJ4TB3hy9xkOdUwwMBZGgNZlPl61tYr1xZ2U+wPMNmWqkbbBYDOrwEXkEPYFyzge7DmcXhKRcQBV3ZS58FJnJsEYsS+O+Yh7IhDkoaeP8OKxLkLhKPXVpbz6ug3UV5fS2TvCoUOHONQxweB4GBFYVefn2vXlrG8qpnj8KDD7nTOLEbeRtqEQmSsD/0BWosggcQEZkc+PVMUdHjjC4MgEDbXleD1ujp8ZYPOaBrauX44IHD7ew9d/9DhD42GsmLSv21DOhuXFFPtc9rRk4zO3X4jZthG2IV3MKnBV/W22Ask05oJoaqQq7p7je9lzuIMDR7so9nu46x3X47KEN778UtpO9PDjh/YzPGaPgb2q3s/OjRWsbyqi2GdPWaP9bcw2O2ohZdtG2IZMUbATOkyHkfjMpCruE4ee4eFnj9LVN4rHbbFpdQPN9RX86qk2Dp/oZSQm7dX1Rdy4sYb1TUUUeV3n3h+fCHg6CkXaRtiGbLhvxxkAACAASURBVLGkBA5G4smkIu7AVBDX2An8Pg+RaJRoRLn60lZC4ShHTvWyt/0sLktYXe/n5RtrWN9UjN974e2Q6Ra3EbbBsAQFDkbikJq4JyYDPLf7MZ558TTbNzZz2SWNvNTRz8RUkN37T+GyhDUttdyyOcq6pmL8novvYU+nuJ0gbSNrg5NYkgIH50k8W/GkIu7JnsPs3n+SZw92EApHWNNSS//wOP/6o11YlsWa5ho2rq5nQ8UwvmmkDekRtxG2wTA7WRO4iDwGfFhVn8rWPuci09JMta6cvH0mYprP7e4PPtXGoZe62bCyHr/PzYGjnUSiyo5NLVy/bTVlUyeAUZKmRwUWL+5cStvI2pBvZFzgInIb8Cbg+kzvayEkim2h4pyvqBfa3kLiSyW2waERdu96jKu2tLKsqpQbrlhNTUUJew51MD4ZZNPqem66ci210Q6YOjFtGwsVtxG2wbBwspGBXx/bzyydxpzBQsSZbnnPxnz2NaHlc27f1z/Irmde4MXDR7Esobm+gv6hcR56+igDIxO0NlTytldupcXbDdGOi96fb9m2Ebah0Mi4wFX1YwAicmum95UpsinpdDFbzKrKzx/8LfsPtuNxW1y1pYXWhip27T1BR88wtZUlvP2VW1nbWotr+MjF788TcRthGwqdJXsRcynS0zfAspoqRIQKX4jrtq7iktZadu07ye79eykt9vLanRu5fF0T7pGjMDx4wfudLm4jbMNSwzECF5E7gTsBWluW5ziawuJURydP7N7DiVNneOdbXsua6iA7NrXw6J6X+NbPnsXjtrhpxxqu2rIC//gxGDl6wftnEneue5MYYRuWOo4RuKreA9wDsH3b5TrH5oY5UFWOnzrDk7v3cPpMF8XFRbx859XU+Ud49Lkz7Np3kkgkyvaNzey8ItazZPzYxe1MI+9cidsI22D5y/A1bJzXe9wVUWBPZgLKMY4RuCG9BIMhfvaLh3C5XLzipmu5dPM6Du3dzdf/+xjj/4+9Nw9vqzwT9u9HsrzvS5zNzk72AFkggQRSltJCC+3QQlto6ZTC1+kw/ej2DTP9dbp903a6MN9MS4dCN9pCVzoMgbJDgEDInpCd7LGT2E5sy7tlS3p+f5yjRFa8yLaWI/m9r8tXrHOO3veRT3Tr1Xve8zxdPcydVsm7ls2gtCjvbEGFcJwgbiNsg2FwjMDTCFXl4JHjzJhaRVZWJrd9+P0UFRZw5Hgtjzz6Jxq9HVSNL+bD117I5MpiS9zeiDaSKG4jbINheCRM4Ko6NVF9jUXa2zt59qXXOXD4GDe8+0oWzZ+Nr6eHP/zpL9TUeykrzuOWd1/IrOoKa2WJt6HP80c6zz0aaRthGwyjw4zAUxxVZeeeA7z06pv4/QGuvmI5M8qCPLVmDTsPniI/J5PrV87lotmhlSXe89sYxqjbjLINBudgBJ7ivLD2TbZs383kieO54bJpHD3ZxE8fP4TfH+Dyi6Zx+UXTyPS4o57nhtjL20jbYIgPRuDDIPyOzGTe3KOqBINB3G43C6tzKcuZzYTyAv7nlV3UNbYxbVIp77lsDmXF0V+ghNiK20jbYIg/RuD94KQshZG0tLbx7LPPU1acy3WXzaG0KJft+0/y/Pr9FORl8TdXL2LutHH2PPf5z4+nvI20DYbEMuYFPlJZR5NrJJa42g6zdW8tL220bm2/YGoFW/fV8srGg/h6/CxfNIUrpwfJ8rRAy/nFgeMhbiNsgyG5OFLgQdxxSSDl5JH1YLSd2sOaV3dz7FQz0yaVsmx+Neu2Hebk6VaqJ5Rw/cJsxhVBZHrXWEvbCNtgcBaOFPhQOEXEiRiFu9uPEAwqjd4Orl1xAY3eDv74/HbycjL54CVlLKjOQ0TOHh/LFSVG2AaDs0lJgY8Fmppb2PP2Jq5YPJ2SwhyuWDqDtZsO0uXr5ZKZBaxeUNynhFmkuPuTtpkWMRjSCyPwURLrUXgwGGTztl28+sZG3G4XkyoKeWP7UWrqvUwuy+L6VRMYX5wJDC3taC9AGmkbDKmJEbiDaGzy8tTzazl5qoEZk8soyMviD8/vIMcj3Li0jAunWtMlsRC3kXb8qD/tS1rflRVZSevbkHiMwB2Au/0IgWCQ3z/+Br29AZbOyGdvbTOHaoMsmZ7PuyadIcfTCU2gDC1sI+fYkUwZj4TIeI3Q0xsj8FEykumTUPHgQCDI2wdOsWjWBDxtB7lqXh6bD7Wz+VA7EwqCfGRhLxMLu4HhS3so8Zg3tkWqCXq49Pf6zLlPH4zA40xI1uEEg0F27djOq3u8tHQGkM46zrT52XighUw3XD/bz8UTA/TW78XXee55o5X2SI8dDCfLIN3lPFLMKD19MAIfBf2NvvsTduh2dlVlT20na3d7aWzzMy4vyKwy5ZmtjQQVFhQ3ceW4k+S6/fTWD1/Y9d7giF5HZbFr6IMGYCSSHK4wjIjjixF66jJmBB6v9dqDCTscbdyPKryxO5NAdw/Vub3UdORzpkO5wHOIKa3rKOj0UnfSOj5Wco6GUNujEfmw+jNCdjRm2iV1cKTAXQQcVwm+P1GHiBR2+CqRdw7VsPFMJVe4XqBN88jsWkidfyJtPW4mtG1mcusmsgJtHBmloE+0SL/bJxVFX50u0SI3pA5mlO5MHCnwZDGYpMMJF7Y27j9vZUjLiX00+EvZ6LuQE/5ZZGonf/Etpy17Eu5gN6Wn36T49Cbqm7oJZS1p950TcH4M3xshsRuRG2JJNN+ijOTjz5gW+FDCjhT12d85X9ghTp86zVuZN3AyYwbuYDdZgWZ8nhICbqX81CsUndlGXXMPodns9n7eB/1tCzFSuUeO0KMRevi0jZF5ehOrKbrw/ydmqiz+jDmBR0p7sOmPodZch19U9JGN93QLitBe6cFDG70ZBYjfR0Xt8xQ17eCUN0CXffxgkh6MWMk9XOjDlflQpLLs43mtYTiM6sLyMF7Duf8H/U/BDZcTLTqsb3uG0THmBB5rOqWAvZ5LOOaeS3XhOurzF9LlKSOnt5HS409R6N2NaOgNFZs3idOp9wZTTuJOEXeIRPwNB7puEot2jcQTgyMFLm4PmYUT4tN4ZLsTL+vbd8ThOQM8bm9vZ9vrr7NlyxaCwSAej4ejJasZP34871u1ijlz5uBypZbEDIZE8DEZGwOZROBIgTsNVcXr9dLV1cXEiRNRVR5++GHa2tpwu92oKpWVlaxatYqZM2f2Se9qMBgM8SIhAheR64AfAxOBp4E7VbUtEX2PlD179nDkyBHq6uqor6+nt7eXgoICFixYgNfrpaOjA1Vl6tSprFy5kilTpiQ7ZIPBMMaIu8BFpAT4HfAp4FXgIeBbwL3x7nswVJXm5mbq6uqoqanh5MmTtLa2smjRIlpaWjhw4ACdnZ19ntPW1samTZsoLi5m3rx5rFixggkT4jTVYzAYEkY0g0wRuQf4CpAHvAbcpaqnEh1rOIkYgd8IbFXVJwBE5LtYf6CoBB4Mnru4pGpdGBERgsHg2X2qenafy+U6u9/v96Oq9PT0cOzYMWpraykpKaG1tZWDBw/S3Nx8Xn+vvfYahYWFlJWVMXPmTEpLSykpKaG4uJiSkhLy8/PNFInBkEZEM8gUkQXAN4Drgd3Aw8D3gI8nOt5wEiHwRcC2sMe7gEoRyVfV9v6ecPLkSb7xjW/ELaCsrCzy8/OZMGEC5eXlTJw4kfLyckpKSigqKiIjw1waMBjGENEMMq8AnlLVDfYxjwLfTHSgkSTCVIXAsdADVfWJiN/eflbgInI3cLf90Pf1r399VwJiGw3lwJlkBxEFqRCniTF2pEKcs5MdQATRDDIfBn4GICJlwG3AmwmNsh8SIXAvYavxRCTT7rfP/IWqPoT11QUR2ayqSxMQ24hJhRghNeI0McaOVIhTRDaP+LmZBUjZ8PwvBU0AyyP6fch2DkQxyFTVXjv2u7A81Q1cO8KXETMSIfB9WF9RQswFDqhq1wDHGwwGQ6x5S1VvGWBfVINMAFV9WER+C9wFPCEiE0JyTwaJuNPkCWCViKyyLxZ8G3gsAf0aDAZDNOwDFoQ9Pm+QKSJfEZHbAezt/wWUYo3Sk0bcBa6qjcAdwK+BGqAB+M4QT3toiP1OIBVihNSI08QYO1IhTqfFGM0g8zRwn4hMF5Fs4EvATttvSSMh93qr6hpVnaaq+ar6t6o6aCqnsLkpx5IKMUJqxGlijB2pEKfTYhxokCkinxCRg/ZhvwBewLpwWY+1KuXmJITbB7NezmAwjHlUdQ2wJmLzr+0fVNUPfN7+cQyOyrZkfz1ZKyIdIrJHRFYnO6ZIROTLIlIrIu12rHOSHVM4IvK6iCy3fxcRuV9EWkTkpIh8JtnxwXkx5orIr0SkVUTqROQ/RMST7Bihb5wR2/9VRJ5NRkyRRMYoIreLyFH7nP+3iBQnM74QEee8QkSesGM8bZ9zd7JjTEUcJXDgj8DLwDjg34BHkxtOX0TkUuALwCqgDNgA/CSpQdmIyHUi8iCwMmzzp4BrgHnAdcD/FZGLkxEfDBjjfcAcrBgvAi4BPpuE8M4yQJyhfRcDX0x8VOfFcV6MInIRcD/wUWAykAn8n+REeDam/v6W38Ra+TEe65xfjbWu2jBMHCNwEVmMdRPCt1S1Q1UfAW5x2CdzAKvOQ2jqyQ00JS+cPqzEiiv87tbbge+p6glV3Yl1u/CtyQjOpr8YrwW+r6q1qloH/BzrDZ1M+osT+5vBwzjjIlx/MX4KeFBV19t5PP4WewogifQXpx/LPS6sDM5Oeh+lFE6aA18CHAAeEZHrgSPAZ1U1kNywzqGqm0XkSSBUxqcLawSRdFT1qwAick3Y5sg7zHZjjciTwgAxfho4HvZ4KXAykXFFMkCcAP8EvATsBS5IdFzhDBDjEuAVEdkKVGPN6d6ThPDOMkCc3wS2ck7qL2Hdum4YJo4ZgWONvq8GngOqgF9iLZTPTmpUYYjI1cAHgcVAAfArHDbNE0EhnK2bDNBGktetRqKqu1W1TUTyRORHwN9gTZ85CjuZ0a3A15McymCUAx8CbsH6gKnGAfk6+uF+rOnHYqzpsykkedosVXGSwMFaV/moqnap6k8AD87Km/AB4Dequs3OkXAfsFRESpMc10D0ucMMyKWfu8uSjYhchTWqnQ4sVtXBq00nGBFxYS0juycF7iD+qaoeVNUmLFFeleyA+uEDwNdVtUVV9wM/wrpGYxgmTppCOYolbMBaQYH1AeOkN0wn1nxdCD/WvLiTYgwndIfZAfvxPGBH8sI5HzsP8++Bz6jqH5IdzwAUABcDz9iphN2AS0TqVHV8UiPry1HC3kM47/0TojPicS/QkYxAUh0njcCfBSaKyKdFJAdr7u4Y5+TjBJ4CbheRxXaMXweedfCo7FHgSyJSaq+guQ34U5JjiuRrwOcdLG/skaJHVbNVNRsrD8YLDpM3WB+EnxWROfa3wi8ATvy7rgG+JiLFIjIF+Dvg8STHlJI4RuCq2gy8G/hfWHc6fQD4kIYqNTgAVX0d60LWH4E6rPm7O5Ma1OA8DGzH+iD8M3CvqjrpAxGsC60/ExF/2M9LyQ4qRfkVVo6Ol4A9wCasKjNO4wtY12MOAeuA36nqn5MbUmripCkUVHUjsCzZcQyGqv4S6wKrI1HVqWG/B4C/t38cQ0SM+UkMZVDC44zY/issWSadiL+lYl0AdtxF4Ig4W7GWPBpGiWNG4AaDwWAYHkbgBoPBkKIYgRsMBkOKYgRuMBgMKYoRuMFgMKQoRuAGg8GQohiBGwwGQ4piBG4wGAwpihG4wWAwpChG4AaDwZCiOF7gIvK/RaTfKjIicpeI3B7j/lREnJakaEASEW9/58CucXjCTrUavt0tIv8sIgdFpEtEDojIV0Uk094/1Y75vAT+IvIXe99U+/Eddn3HdhF5VURmx+OcGwypiqMFLiKFwCewEjH1x6+Be+3MgEO19V0RCYrDihAPRjzKyQ23zf7OgZ1Bbg5WebkrIp7yAFaCr08DJcANWEnK/j3sGD9wmYgUhbWZi1Vr1G8/nmW39XdABVa2yt8zjHNuMKQ7jhY4VtrOJ1Q1ICLvE5F9dvXyP4tIrqr6gFcYIjGO/Wb/BFYSqs8Nctwu+9daEakUkatF5G17BPjHUOEGEVktIntE5AER6RCRDSJyo4jstKtsfznsuB0i8u8i0iYiW0RkUVh/57VvP2eTiPwcq+wUInKniBwTkU4RWR9qIyLeW0VkX1jbq0OPB2iz39c22DkI23Y7VkbGP2IV0A31ORu4G/iYqq5V1W5VfQe4A1gg56rNB7CKV78vrM3rgdftfWAVInhFVZ+x0/X+ALgQyCOKc24wjAWcLvCbgZftr9SPYOWzngiUAp+3j3kZuGmIdm7HetN/DfiYiJT0d5CqLrB/nYyVGP8x4DP24y7gh2GHz8WqIlNpP/6xHccVwL+GjS4XYSXaL8UqKvx7EXGJyORB2l+CJdql9gj4R8CNWCWo3rBfR2S89UP8DcLbHKzvSG7G+huHczvWSPj3wIfCxHw1UKuqG8IPVtXDqnqlqvaGbX7cbju8n/Cc0E8A/xARfyfQSnTn3GBIexwrcHtudRlWId6PAE+q6ha7lNnfAxvtQ98GLhuiuX8AfqKqtcDzWF/vh+I24M+q+qaqerGk+YGw/V7gATueHfaxh1V1L5ZkQmJvAv7Tltf9wCSs0mGDtd+gqg/Yz+mx/w47gfFYUwxlUcQfSXibQ7024LxzENq2FHCp6gY7/W8L1hQJWFMm0RYkfgp4l1i1MLOwqtM/FdqpqvWqetTu82asIgD3qaqf6M65wZD2OCofeARlWB8wLVjFWQ+HdtiS3Gs/bALyRKTQzjPcB7HqLaqqvmFv+k/gURG5f4iK91OAu0QkvGBDhpwrstwQVmwiiCXtcEIfjrWh41Q1KCKNwLiB2geysT4cwvkn4EqsBPhtg8TcX/8hwtsc8LWpanfYtvBzEOLjwFQROWM/LsCaRnkaaMQqrHseIvIx+gq6VUTWAe8FfMAmVW0Rq2RZ6DnlwM+xRt93quqT9q5Bz7khfdHMfILFFwzvObmOKrEaUxw7Aufch4tgiSE0okVEVoStRAhG/BvJ57AuhgGgquuAM1jV5QejAbg/rIxWEXBpmOCirRRUFRZ3FtYoum6g9oHuiOd/HJgKTFPV1Vii7I8gfc/nuEFiGuq1hQg/B4hIBta3oXcDF9k/1wE32dcZXgWmi8jC8EbEKuf2U86vzxiaRrkZ+EvEc/KwqrU0AnPC5B16reH/GgxjEicL/DSWzEqw3ty3iMhCESnDWtEQGgmXAl32VEYfRGQa1pz0oxG7fgTcO0C/AaxR5OPAR0Rkri2TH2KNhIdLiVh1PrOBfwEOqurhYbSfgVVEN9u+ePlZwCPnhqqheGuBahGpsFea3DFITNH2HX4OwBJ3i6q+qqq19s9aLMm+3/5m9Fusef7lIpJjy/u3wDci5sABnrTbvAH4n4h9twGnVPVT/ZzbAc+5wTCWcKzA7bnOjcBCVd0G/DPW6PMd4C3gF/ahC4D1AzRzD9aqhf0iUhv6Ab4DXG7P50byJLAFa5R8H9bX/gasaYfPjuClHML6EGnEush3i/36dkbZ/m+wpjAasOodfhG4gHNl0kLxtgHfxfrbbAA2DxRQtH2HnwN70+1EjJRt1nBuNcqdWB+YvwGasS52/oeq/qCf9pvs2PeoakPE7kXAldK3VqbfXsI42Dk3GMYM4qCawechIl8CilT1q4Mc8x2seeYHBjomWYjIauBBVU2ZteeRRHMOEo2Tz7khfojI1A9ef+WRPz387WE977G/PMcn/uGbX1TV++MUWtJw7Ajc5mfA++y51/Owl6+9BwcXGU4DBj0Hicacc4PhHI4WuL3E7adYF8764zasEW5n4qIaW0RxDhKNOecGg40jRlWDoaoPDrLvVwkMZdjYF/hSdvokxGDnINE4/ZwbDInE0SNwg8FgMAyMEbjBYDCkKI6cQikvK9Up1VVDHxgngsQ8CaDBYLDZvn3bGVWtSHYc6YAjBT6luor1rz6btP47tTBpfRsM6U5Jcf6xZMeQLpgpFIPBYEhRjMANBoMhRUmIwEXkHhE5JVYxhqdEZEIi+jUYDIZ0Ju4CF5EFwDew8k1PxMrZ8b1492swGAzpTiJG4FcAT9kFANqxEh3NT0C/BoPBkNYkYhXKw1j5NLBTwd4GvJmAfg0GgyGtibvAQzmgReQu4CGs/NLXRh4nIndjFcSlumpSvMMyGAwJxNvSk+wQ0pKErUJR1YeBXOAfgSfCCuGG9j+kqktVdWl52UhKPsYGswbcYIgd3pYeI+84koiLmF8JlT9T1S6sogSlgDGlwZCmGHEnhkTMgZ8G7hORN7Eqln8e2KmqjQno22AwJAgj7MSTCIH/ApiLdeEyx/735gT0azAY4oARtXNIxEVMP9ao+/Px7mu0mPlvg8EIOpVwZDIrg8EQX4yk0wMjcBsz+jakG0bS6Y8RuMGQBhhZj02MwDGjb0NqYWRtCGEEbjA4HCNsw0CMeYGb0bfBaaSLsJvPdCY7hLRnTAvcyNvgBFJd2EbUyWNMC9xgSBapKG0niFrdeQTypw3rOcHscXGKJvmMWYGb0bchGaSKuJ0ga8PQjFmBGwyJIhWkbYSdmoxJgZvRtyEROFncRtjpwZgUuMEQT5wobiPs9GTMCdyMvg3xwkniNsIeG4w5gRsMscRJ0g6npDz37O9G5unLmBK4GX0bYoVTxd0f4TLvDyP41GXMCNzI2zBaUknaw8EIPnVJS4EbWRtGQ7qKeqQMJXhD8khJgRtBG2KBEbUh1XGkwIO4jaQNMcOI2pCuOFLgBsNoMMI2jBWMwA1pgxH36Cguykx2CIZhkhCBi8gdwDeAcmALcLeq7k9E34axwViXt5Hv2MQV7w5EZBbwAPB3QAXwLPD7ePdrGBt4W3rGrLyLizLP/hjGJnEXOHAV8IqqPqOqXcAPgAtFpDQBfRvSFCNuI21DYqZQngCeC3u8BOgEWhPQtyHNGKvSBmdPk+SKeTsng7gLXFXrQ7+LyM3Ag8B9quoPP05E7gbuBphcVRXvsAwpxlgVd7KkbYScGiTqImY58HOs0fedqvpk5DGq+hDwEMDFFy/WRMRlcD5G3PHFiDq1ibvARSQPWAe8CcxR1fZ492lID0Yj78j8HalwO3g8pO0UQbvbjyQ7hLQkESPw24BTqvqpBPRlSCPChTZcmTtJ2LEWczKlbETsLBIh8EXAlSLij9g+Q1WPJaB/QxoQKcFkTq3Ea3qju7uLDH8zfn8Av99Prz9AdnYmZSXFAOzed5DeXj9+v//s/gnjK5g5rRq/38+Lr77FimUXUVSYP2AfRsDpRSIuYt4D3BPvfgxji1gLPR5SVlV6fD6ysrPJlVY2bHmbM43NtLS20dLaRne3j+lTq7jp+qsB+OkvH6Hb5+vTxsJ5F/C+61YD8NRzawkGg332L5tfxeyKAASDbHt7D02nT3H7DUsQkZi/nsFwed9JaH8Gi6gFLiLzgIlErB1X1edjHZTBMFySsVpDVXH1nCYnOxuA7Tv3caquAa8t6JbWdiaOr+Djt94EwK69B+js7KKosICJ48eRm5ND5biys+1ddcWlqCqZ/mYyMlx43C4K83POjpo/86HluN0uMtxuPBnWvy6XJWq3y8X1q+by19f3sn3/SS6eMynq12Hkm7pEJXAR+SHwSeBwxC4FjMANaUnkXPO+dw5ztOYELa3teFtaaW1tJzc3h7//9McAeOfQUU7Vn6aoMJ/x48qZPXMaFeXn7lf79I0X4XL1c++cLejFU7PsDRP6jae0KK/f7SEBL6lUdpVn8dJb+5hd3Ep+tns4LzfuaKPJnhGOiLhVNWD/ng90hR5HS7Qj8DuAeeFrug2GdCFc1MFgkPqGRmpO1lF7oo7602e4+45bcbtdHK05wb53DlNUVMi48lJmTZ9CcZGV9tjdfoRbr5qFyzX7/A5C8879ybsfVJVg4356A4o/oH3+Df3uDwTP2x9UuGZRMY+sreeFHc188NLyUf9txop0ReQ64MdYswxPYy13bhvuMVH25QH+HZgPvMve/H7gQRH5uqr+e7RtRSvwg0AlYARuSEkGWrnR09tLwOXC7Xazc887PPfyOnp7revtxYUFTJ40Hn/zATKzM3nvsknccOnk8xuxBd3f6FpV6ezuxdvWhbeti9bTNXg7/Hg7/XT5gueJuTcQJBA8r5mo8U70c+PcIJMKfWhj48gbGkOISAnwO+BTwKtY96N8C7h3OMcMg3/EWtxxR2iDqv5ORA4DvxGRblX9r2gailbg3wReF5EXiLgF3iwPNDiNwZbZdXR0Unuy/uwIu67hDLd84D1Mn1pFWWkxi+bPprrURVVlMYX52X2eG5pvDkdV6fL10tLWjbeti5bTx2npCNDc4ael04+3w09voO99aTmZLorzMsjNcuFxCxluweN2kXH297B/uxrIcCseF2S4wOOGDJee/d3jUjLc4HHBS4cy2FzrZnlVgJIcRRWCCu44Zzzy1e2Nbwfx50Zgq6o+ASAi38UaYd87zGOi5ePADaraZ0mQqm4QkY8DvwJiKvDvAy9gpYIdxfjAYIgfkeJWVZpbWhGEkuJCTp9p4me/+TMAGW43E8aP47ILp1Ka0YK73U9VPlQtm3heu/5AkDPeDlrrDlmj59CPLegef19BZ3tcFOe5KSvIYHplNsV5Ged+cjPIbD0Ql9e/aqqfHafcvHI4g5sX9PKnnR6KspX3XOBPB8nGk0XAtrDHu4BKEckPu/EwmmOiZTJwfIB9O4Ap0TYUrcAnAUvtbIJxx8Ww5vENY5xwcbe2tbP/4FFqak9Re7KOjs4uFl84j+uuWklZaTFXXzqLqspixpcXkjHA0NTX46e23kvN0UMcP+PjRJOvz7RGZoacFfLUivMFndU2gKD9jDiFWzQCzgAuKa1k3emJHDtykPxgCZtqK5idDDQQbwAAIABJREFUcYiJDrmvqeXEvlE9P0DGsMst+jQHYLmIbA7b/JCdvgOgEDh7T4qq+uz7VgqB9mEcEy0ngUuB1/vZdyFQG21DwxmBf1VEvjOSSfuREP6mNPUx04f+1muPdAlg6P9IMBjE5XKhqjzyuydo7+ikqLCAaROLqR4/lakTi3G3H8ENrFg09bx22jt91NR5qTl2hONnfNR7e1BABCYUZ7JsZgGTSrMoyc+gJC+DbI8LmvpZehcAonx3xGtEvLTsNNuaKljbMImbJx/iQGsxz56q5o7p+3HLwCmGRivWFOAtVb1lgH1eICf0QEQysdzYPMxjouWXwC9E5KOqevZDRUTmAz8DfhFtQ9EK/D4gD/hHEenBWj4oQFBV+1/bFENCb1Qj8tQjHndM5korfr+ffUeOs3vfQRpON/GZv70VEeH9q2ZTUpgz4JI7VaW5tYvjdc2WtE820NRuXbTMcAuTy7JYNa+I6vIsJpdl4WkJG00HiVrQED9JDyXbiz09rOtcxv5aL5dnrufZzit57bCLxdm74xJPGrAPa447xFzgQMSMQzTHRMt3gWpgg4jUYI3Iy4HpwG+xBsxREa3AvwL8T8S2fOA/ou0oFhiRO5943uKeK600nGnila072X/wCD5fD3m5OcydPYOg9yCZngxmVPVdOhcMKg3N7dScauZ4nZeaU2do77am6HIyXVSVZ7F4ej7V5dlMKMnE1Rw2sm4ZPJ7RCDqeI945mYd4u2cOG7sv5Ob8Z5nuOcbenulcmLUXt4z+ElbjqbRbjPYE8H0RWYU1t/1t4LERHBMVqhoUkS8APwEuB0qARuBVVR3Wf4xoBf6/gHJV/Rd7Oc03gTuxvgokHCNyZxFPaasqbWeOkJuTDQX5tLa1s+/AYWbPnMa8OTOZUeLrs3wvGFRONLRw7FQzNfXN1J5qwmdfZCzKdTNtXDbV5VlUV2RRXuBBRM6tdR7gy/BIRZ2IaYmBZDrX/Robsm5g++kS5geeYQGKt8PX77FjHVVttOv2/hqr7OOfgO+IyCeAf1HVmQMdM5L+ROTzWJXKAJ5X1W+PNPZoBb4KeEpElmBNvr8FLFHVpF7azpVWI3EHEI/b2FtavBzev53d+w7S2ORlxbKLWL3yEqZPmczn7v442b4aoBew5r5r61vYc7iOvYfrae+yPlAqCj0sqM6zhZ1NUe65/+7auB+arLnA/nCitIcz8p0cOMA7gXp2e1YwOfAObgIEEVqljGI9E7cYUxVVXQOsidj8a/tnsGNGwj8DVUAmcAj40UgbikrgqtokIldjfeq8A9w03Fs+44WReHqRQwu/f/yvHK05AUDVpPEsu3ols2dNP3sh0oM1Mj95upU9h+vYc7ietg4fGS5h5oQc5lcVMm1cNrlZfW8lH+quwlSXdjgCLOhdx+vZN3MoYxEX+Lex3bOamow5vLvrEXLoHLINQ9x4Hvgi4AZeGk1DgwpcRPbSd5DiAWYAh0WkA0BV540mgFhgJJ669Pb2UHt4FyfrGrh29WWAMGF8BVOrJzFvzgxKXfZoMXAKVaWusY29h+vZc7geb1sXbhfMqMzhmvllXDAxlyxP36WB8ZI2xE/csZpjrgzWUBk4xj7PJUzz72aWfxtHM+azPfNdrOh5OiZ9GEbE7cC1WJ+z3xpNQ0ONwD8zmsYTiZF4atHd3c3u7evZvG0X3T4fhQV5rFy+hJzsLK6+qMI+6gyqyunmdnYfqmfv4XqaWjtxCUyrzOaKOWXMmZhLdmbqSxvic3FwQc86Xsq5jf2epSzofZO5vRvYnXk5JwPTmRiIzE1nSASqGrMkgIMKXFVfjUUnicJI3PnkSiu1J+r44xPP4OvpZdaMKVyyeCFVkyaQ0XH07C0RZ7wd7DlkTY+c8XYgwNRx2Vw2q5Q5k3KHPT0C6TVFEi0lepoq/z4OZFzMDP8OZvu3UJtxAds876IiUIuHsVlzNF1ISFHjRGIk7jxypZWOzi4r/er4CsaNK+OCmdNYtnghE3NaAR90HKWptZM9h+rZc7iOhibL5FMqsrhkcSlzJ+WSl50YaaeysPtjfu+b1LpnsSdjOUt6X2JJz4tsybyGbsnFo0bgqUzaCRyMxJ1CrrTS3t7Ji1t2sO3tPRQVFnDXJz5MpsfDTZdPAVppbe9m96E69hyu49QZ6y6ZyWVZXHdRCfMm51KQ0/e/aDyknW7CjiRfW5nhf5tDGRdygX8rpcF6rul+lMTW7DHEg7QUOBiJJ4vQGv3Wtnae27SdHbv2EwwGWTB3Fivnl1vTJECjt4M3dhxl14FTBFWZWJLJtYtKmFeV22e5H8Re2uku7P6Y07uRoxnz2eW5jBU9TyNAL5kcyLiY2f7NuE3+oZQkbQUORuKJJDITYO3JOrbv3MvCebNZOb+MkkIrm1J9YxtvbD/CnsP1ZLiFpTPyuWRWAaX5nj7Pj6W0x6KwI8mmiwt6t7AncwWN/vGUBetodE1gT+YKAOb5NyQ5QsNISGuBg5F4PAmXdpO3hfUbt1FWUszyZRcxf4KL6lsvpyjfyv9TW+/lje1HOHD8DJkZwuVzClk+q3DY89rRSNsIu39m+bdyyLOInZ6VXOn7M+ODx6jy72efZxmTA+9QqCPJy2RIJgkTuIi8DnxZVd9KVJ8hjMRjS7i4G5u8vLFhK3v2H8LtcrHiwilWEV6XUJiXzZETTbyx/QhHTzaRk+li9fwils0sICfznLidKu1UlnV/eOhlbu8GtmdeRZ1rKhOCR7mwZy31OdVsybyG1b4/mXnxFCPuArfryH0QWBnvvhJJf1Vf0v1DIvI1r9+0nbXrNuLJyODShdUsXziF/NwsVJWDx8+wbvsRTjS0kJ/t5tpFJSyZkU9mxrk124OJOxnSTjdh98d0/y4OZCxmV+bljO8+RjZdLOp5nc1Z7+ZwxkJm+HcmO0TDMEjECHyl3c9wk57HjESJdbBSXqkq98jXVNdwhrzcHAry86iaNJ7LLprKpQumkJeTSTCo7DlUxxvbj1Df1E5RrpvrF5dy0dR8MtznxnYDiduMtOOPiyALet9kQ9b1HHfPZkpgH1MCe2jvLaYycGzoBgyOIu4CV9WvAojINfHuqz/iJc5OLRxU2JEMdKwTxd5frN6WNl55fQP7Dhxm6UULeM+yCUwphCnLZhEIBtm+/wRv7jhKU0snZQUZ3LSsjAXVebhdg4vbSDvxTA68w/7gEnZ7LmNy4ABuAizofRM4l+jfkBo45iKmiNwN3A1QXTUpJm06UY6ROGUqZrCq7es3bWfj5rdBYNXi6Vy60Mq53esPsGP/Sd58+yit7d2ML/bwoeXlzJmci0tGJ24j7fghwMIeK9HV4YxFzPJbpR57yGJj1nVM8+9mUuBQcoM0RIVjBG7Xp3sIYMnFFw5c+ylKUkHeAxEp03i9lmi+Qaxdt5Et23czf8Z4rrpkFkX52fh6/KzfcZS3dh6jo6uHyWVZ3HDROGaOz0ZGIW4j7cRRGaxhXOAYez2XMNW/Gw89ZNBLlxScvc0+E5M/3Ok4RuCxJFHyHu40ykiJpdCjifdU3Wk8ngwqs7xcPq+UBVXLqBpfTJevl9e2HmLjruN0+/xMG5fNqksqmVKRNWJxG2knj4VnE10tYUHvelwEWdLzAi9nfYRdnstZ3PtyskM0DEHaCTyVR97RMpKCz9GIu72jk9fWvsyOd04yZ9o4PnTNhRTmZZPpcfPa1kNs2HkcX4+fC6ZUsHKGm8llWX2eP5yLk7EUtxH2yLASXe3nQMZiZvTuIIdOSoMNzPJv54BnMVWBfVQETyY7TMMgpJXAkyHvRI3CByIWffv9AbZueI3Xtx3GHwiyYtEUVl48nZ5eP5t217D+7aN0+/zMnlLBlRdkML64bwWeRI64jaxji5XoaiZ7PcvPjrjn967nhHsmezwruNL3eJIjNAxGwgSuqlPj1fZYGHXHC3f7ETa+fZSXNh5gVnU51y6/gIK8bDbvqWH9jqN0dvcya0IOV84vZ2LJuRF3IkbbRtbxJ19bmO7faV/M3EqBesmgl8t8T5KrbckOzzAEKTcCd6KsQzElcyQ+XJpqdtLd46eqspglc6uoLC2genwxW/ed4I3tR+jo6mF6ZTarLys7O1USb2kbYSeHub0bOJYxz0509VeAs3UzA7hpk1KK9XQyQzQMgKMF7kRZD0ayp1OioavbxxuvvczmPbVMKC/gb2+6BJdLaGrtZM2ru2nr9DG1IosPL6+kujwbiH6KZLjSNsJ2Btl0Mcu/lb2e5TT5t1AaPHderDqaF7C6+0+mGLIDcaTAg7hjJu+QUNNtZcpwCQaDvL15HWs3H6K7p5eL50xm1cXT2Lb/BOu2HaG1vZuq8iw+sKySaeOy0cb9aGPfNsz0SPpyQe8WDmdYia6u8D1+9maeuf4N1Lmn8kbWTbzL9wdyNWk3VBv6wZECjwXJlKgTp1QO7NzAM2/sY8qEEq65dBYNzR088j/r8Xb4mVSayfuvGMf0cdnQ9E4fccd6BYkRtzM5l+jqXdS7pjA+aN1Wn6vtrPQ9wSvZt7Au6wOs7v6TWR/uINJS4E4RZ7JH496WVppP7mdmVTlzp1dyq8dNl6+X/35xK03tfiaUZPLei8cxw3MckVZoOvdcM9oee0z37+RAxsXszFxJZfexs6PwIm3kMt8aXs/6IJszr+WynqeSGqfhHGkp8LHO6aM72Li7ht0HT5Gbk8nf33o57xw9zWub9nGmrZfKIg+3XlbBrKwaS9xhjFTcRtKpj4sg83vXszHrvdS4Z1MdOHftY1ywluU9f6Ug2DRIC4ZEk5YCD5/vdspoPJ64248AUFPv5eUNB6ip9+LJcHPh7ElMzO3kF4+/TkNLLxWFHj60opw52bWI9F0iFq24jajTm6rAft4JLmGX5zImBQ72KbUWyo+iQIOrispgTcLj6+0N4m0ZXiHmzk5/nKJJPmkp8HBSbSVLtISk3dHVQ1CVAjsPd1unjyuXzCCzt5Gdx+vZ6u2lLD+Dv7m0nLm5tbiMuA2DcC7R1d9wOGMhs/zbzzum1n0BG7Ku58Ketf3uNySOtBd4uhASdohTZ1rZtOs4uw/Xc9HsiVy7fDadp48wLl95feshggoVhR4rrWveCVyuvqsHjLgNA1EZPB6W6GoPHvqOeCcHDlDjP8gOz5XkaDuTAweTFKnBCDxOxGLqJlLaAPuONPDWzmPU1nvxuIWZldl0tjTx/37zCt29QfKz3Vwyq4AFRWcYn9/dZ6pkpNKuPz34qoPKiqxB9xtSj4U9b/BSzsd4x7OY+b19qyAKyqU9z/Bq1s1szHwP2b7HKQ+eSlKkYxsj8BgxWmH3J+sQnd095HUdQUQ4fLiR1tYuplVm0djay/6TXXhcypyKIAvHB5hWEqS3YTN0QE+H9fxoR9ZDiXog6k/7jMTTjBJtYLJ/P/szlpKp3cz070A4l+XZTYDLfU/ySvatrM96P+/t+iUZ9CYx4rGJEfgIGY2wB5N1CJf3HU42+9h0oI1dNR18+LIKmtv9nGhopbXLRVuXn+mlQVaV1DCrsIVMVxB64cy2c7KOpaSHItSuEXn6cFHPWvxZmezIXE2NezZLel6gSM+tQsmim5W+/6ZNSo28k4QReBjxWLESraxDBILKvhOdbDjQRm2jD7co+ZnK79c1AMK47G7eVdnE3MJmAg27oAO6OqB2mNMe8cKMxtOHbLq43Pc/1Lhnsz1zNS9m38bc3o3M8W/CRRCAfG0lX633Tb2ritJgHR4j84Qx5gQer2WFwxV1JP7T+3G7oNcPazZlgQZxiRBQF4GeTi7KOsYszxFK3a00HqmnIey5/cm63hvst5/KYle/22OJkXj6IEB1YD+VXcfZnnklezJXUJsxi6U9L/TJmdIlebyRdRMVwVou9z15VvCG+DKmBB7PeeoQg0k6PClUbwAOHanlaEcBx9oL6A66uaDAy57mAnpU8BCg2v8O1f59VARrkQ6oO+2jboj+BxJ3+H4jccNwyaKLS3uepcq/n22ZV/Fy1q3M8m9nfu+bZOAnRzu4uOcVtmRdy9bMq1nS84IpjpwAxozAhyPvoUQdraTh3MqPoFqjGRF49RBs8i0iyExAEVVUXGxuLGdC4CjVzTsp7TqEW/3WTRNRxDyUuPs7Nt4iNxJPPyYGj1DR/Rt2elZywLOYk+4ZLO55kcpgDdMCu+nsLWCvZzk52nbe6hVD7ElbgUcr7MFkPZCoo0mv2nJiH63BPGr94znRO55a/3jmZB7idGcmDe4qguIGIC/opaDjGEXdxynpPoon2BVV3CGGI+7+npsIiYcwMo8fib3m4WMSz5CXtYuDZe/h9eybqWx/m2nNL1MWfJXKslz25i/H03iQIt+JBMY19kgZgcdq7nogYY9W1gCq1gj7jL+YZztvokNzCd/xds9c8l3NVAf2UxGopTx4graGxsjmo2Y08o5sI1HTKpEYqSfvgvNARP//6hiTGn5O4/iV1Fdcypms6Yw78RyFh55Big/T5a2hO66RGhwpcBeBmF5sHI60h1O8IKAu6gLl1PYu4ph/EgWuDlwEOekfRw+WmHKCrYwLHmdcoJaKYG2ffMqjeePGQt79tZcIkffpdxh/g1SQvdNkHEms/9+41E/FqbUUePdSX3U9p6beTL53H+NOPI8Avqwy1OUhu2uoqzeGkeBIgYvbQ2bhhNg1OFBbEy87v+9+DsvBKojQ2dlJfn4+wWCQFx97jCNHjhAMnntDNAeLKS4uZt7UqUy1f4qKigYMa/4wX4bB+YzlcxoIBFi/fj1r17o5Of4irr32WjZv3kxrayt33nknJSUlAHxMzOXNWOFIgTuBmpoaDh8+TG1tLadPn6atrQ2Px0NhYSFNTU0EAlaWtry8PKZPn8706dOZOnUqxcXFSY7cYEgObreblStXMmfOHNasWcOaNWuYPHkygUCA3/72t9x5553k5uYmO8y0IiECF5HrgB8DE4GngTtVk1/y2ufzcerUKY4ePcqJEyfwer1MnjyZxsZGTp48eVbSITweDyUlJcycOZNx48YZYRsM/VBeXs4nP/lJtmzZwgsvvEAgEMDr9fLYY49xxx13JDu8tCLuAheREuB3wKeAV4GHgG8B98a77xB+v59jx45x9OhR8vLyaG5u5uDBgzQ1nZ+cvquri/LycubOnUtZWRkTJ06krKyM4uJi3G53okI2GFIaEWHp0qXMmjWLp59+mgMHDnDixAmee+65ZIeWViRiBH4jsFVVnwAQke9ijcIHFHhbWxtPPvkkJ0+eJBgMEggEUFUCgQClpaVkZWXR3t5OY2MjwWAQVT37k5+fj4jg8/no6up/SZ7H46GgoIBx48ZRUVHBpEmTqK6upry8nKws518oMxhShaKiIj760Y+ya9cunn76abZu3ZrskNKKRAh8EbAt7PEuoFJE8lX7L3Hd3t7O22+/fXYKQ0QQ+8KHiJCTk4Pf70dVcblcuFwuRASXy0V5eTl5eXl0d3fj9XpxuVxkZGRQVlZGdXU106ZNo7i4+Gx7BoMhvogICxcuZMaMGbz44ovJDietSITAC4FjoQeq6hMRv739rMBF5G7gbvuh76tf/equBMQ2GsqBM8kOIgpSIU4TY+xIhThnJzuAdCERAvdircQDQEQy7X6bww9S1Yew5scRkc2qujQBsY2YVIgRUiNOE2PsSIU4RWRzsmNIFxJx18Y+YEHY47nAAVUd3j3jBoPBYOhDIgT+BLBKRFbZK1K+DTyWgH4NBoMhrYm7wFW1EbgD+DVQg5Vc7ztDPO2heMcVA1IhRkiNOE2MsSMV4kyFGFOChNzIo6prgDXDON7xJzgVYoTUiNPEGDtSIc5UiDFVSGzmIoPBYDDEDCNwg8FgSFEcJXARmS4ia0WkQ0T2iMjqZMcUiYh8WURqRaTdjnVOsmMKR0ReF5Hl9u8iIveLSIuInBSRzyQ7PjgvxlwR+ZWItIpInYj8h4h4kh0j9I0zYvu/isizyYgpksgYReR2ETlqn/P/FhFHJOuJOOcVIvKEHeNp+5ybPBUjwFECB/4IvAyMA/4NeDS54fRFRC4FvgCsAsqADcBPkhqUjYhcJyIPAivDNn8KuAaYB1wH/F8RuTgZ8cGAMd4HzMGK8SLgEuCzSQjvLAPEGdp3MfDFxEd1XhznxSgiFwH3Ax8FJgOZwP9JToRnY+rvb/lNrPtDxmOd86uB25IQXsrjGIGLyGKsu8i+paodqvoIcIvDPpkDgHLu4q8bOD8jVnJYiRVXeHqC24HvqeoJVd2JlVTs1mQEZ9NfjNcC31fVWlWtA36O9YZOJv3Fif3N4GGcsYqivxg/BTyoquvtbJ9/i7X6K5n0F6cfyz0urBT8TnofpRROyge+BDgAPCIi1wNHgM+qamDwpyUOVd0sIk8CoVI+XVgjiKSjql8FEJFrwjZH5qHZjTUiTwoDxPhp4HjY46XAyUTGFckAcQL8E/ASsBe4INFxhTNAjEuAV0RkK1CNtfLrniSEd5YB4vwmsJVzUn8JK8GdYZg4SeDlWCOvjwP/C2v08ISIzFBVR5TWE5GrgQ8Ci7E+bL6HNc2zLJlxDUIh0BL2uM3e5hhUdTeAiOQB3wX+Brg0qUH1g4gswPr2spTkfosZjHLgQ8D7sEa0f8KSZdKnfCK4H2v6cQHWNMpTWNNmDwz1xJ6eAM1nOofVWUebs8vcjQbHTKHY7FTVR1W1S1V/AnhwVuKbDwC/UdVtdibF+4ClIlKa5LgGok8eGiCXiBw0TkBErsIa1U4HFqtq/0VMk4SIuIBfAPekQAqIn6rqQVVtwhLlVckOqB8+AHxdVVtUdT/wI6xrNIZh4qQR+FEsYQPWCgqsDxgnvWE6sebrQvix5sWdFGM4oTw0B+zH84AdyQvnfOxqTb8HPqOqf0h2PANQAFwMPGOnIXYDLhGpU9XxSY2sL0cJew/hvPdPiMghdC/QkYxAUh0njcCfBSaKyKdFJAdr7u4Y5+TjBJ4CbheRxXaMXweedfCo7FHgSyJSaq+guQ3ra7WT+BrweQfLG3uk6FHVbFXNBu4CXnCYvMH6IPysiMyxvxV+AXDi33UN8DURKRaRKcDfAY8nOaaUxDECV9Vm4N1Y89/1WF+zPqSqmtTAwlDV17EuZP0RqMNa/nZnUoManIeB7VgfhH8G7lVVJ30ggnWh9Wci4g/7eSnZQaUovwL+C+ui4B5gE1YtWqfxBazrMYeAdcDvVPXPyQ0pNXHSFAqquhHnXhAEQFV/Cfwy2XEMhKpODfs9APy9/eMYImLMT2IogxIeZ8T2X2HJMulE/C0V6/6Jf0taQAMQEWcr1pJHwyhxzAjcYDAYDMPDCNxgMBhSFCNwg8FgSFGMwA0GgyFFMQI3GAyGFMUI3GAwGFIUI3CDwWBIUYzADQaDIUUxAjcYDIYUxfECF5H/LSK3RmybKiLd9u93icjtMe5TRcRpeS4GJBHxhp8Hu7+pEfs/aZeY+4OI/FfY9nH28Z8P27ZCRHpFJD8e589gGCs4WuAiUgh8AiuPx0D8GrjXTi41VHvfFZGg0+pYDkY8KhINt80oz0OItcCKsMfXAK1YlXdCLAc22yl5oz5/BoOhL44WOFbWtydUNWCP1OpFpBErexkAquoDXmGI3Aq2ID6Blcfkc4Mct8v+tVZEKkXkahF5W6wixn8M5f4WkdViFV5+QKwizBtE5EYR2WkXav1y2HE7ROTfRaRNRLaIyCJ732BtbxKRn2NVLkFE7hSRYyLSKSLrw9oIj/dWEdkX9lpWhx4P0Ga//Q92Hgb7G9usBRaISCjHyTXAD4HL5Vyx4hX2cVGfP4PBcD5OF/jNwMsiMhP4vv14BlZe63BeBm4aoq3bsUTxNeBjIlLS30GqusD+dTJWbuXHgM/Yj7uwZBRiLlYhgkr78Y/tOK4A/lVEiuzti7ByNZdi1aX8vYhUD9H2EizRLrVHwD8CbgSKgTfs1xEZb/0Qf4PwNicP0X84N2P9jYdEVfcCZ7CKE4NVZemPWGXoQiPzswK3ieb8GQyGCBwrcLsKyjKsOo63An9W1XWq6sUqExXO28BlQzT5D8BPVLUWeB6rFuNQ3Gb3+6bd79ew0tyG8AIP2FMBO+xjD9sSa+Wc2JuA/1TVXqwqKZOwKocP1naDqj5gP6fH/lvsxCpB5QfKoog/kvA2h3ptwHnnYShCqX9fBVaIyCzArar7gBeBa0Rkkv0a3gh7XjTnz2AwROBYgWMJyoVV03EyfQvfRha9bQLy7JHqedglu1RVQ9L4T+CeKOaCpwB3i0i3fdF0H1AgItn2/oawfOVBLGmHE/r71oaOU9Ug0IhVQmqwtr0Rbf0TVl7vXwPzh4g7sv8Q4W0O9dpChJ+HEJGVibAfh6qqrMWa574GeMHe9iLWPPgKzs1/hxj0/BkMhv5xssBDucoFa2qgOmxfdcSxwYh/I/kcYQVTVXUd1tf8Dw4RQwNwf1glliLg0rAiy9EWm6gK/SIiWVgj0Noh2g7n48BUYJqqrmbgCt5B+p7TcYPENNRrCxF+HkIc4/yq7NPt7dBX4C/a29ZhffC8h77TJ6G4w/81GAxR4GSBnwa6gRKscks328vPioGvRBxbCnRFjOoAEJFpWHPSj0bs+hFw7wB9B7AqfD8OfERE5opVNf2HWCPh4VIiVqm4bOBfgINYc/rRtp2BNcLNti9efhbwiEhIqqF4a4FqEamwv13cMUhM0b628PMQ4nfAD0Rkvohk2N9wPoNV0is0Dx4AbsAWuH2xcgPWh9HaiD4GPH8Gg2FgHCtwVfUDG4GFqroT+CLWMrb9wHMRhy8A1g/Q1D1AHrBfRGpDP8B3sFZGLO3nOU8CW7DKpt2HVQuzAWva4bMjeDmHsD5EGrEu6t1iv6Zo2/4N1hRGA1bJrC9ijYBDlXZC8bYB3wXewpLl5oECirb/8PMQtvm7dp/PY02b/BirXNvrYcesBd5R1fALqy9g/Z8Ln/+Gwc+fwWAYAHFQycndTHDQAAAgAElEQVTzEJEvAUWq+tUhjvsO1jzzA4MdlwxEZDXwoKqmzNrzSKI9D6No37Hnz+AcRGTqVVe998gPvv/wsJ7317/+hf/vq5/7oqreH6fQkoZjR+A2PwPeJyID1u601xa/BwfXqUwDhjwPI8WcP4Nh5Dha4Pbytp8CHxnksNuwRridiYlq7BHleRgp5vwZHI2IXCciB+wb9v4oIgUDHHePiJwSkVYReUpEJsQ7NkcLHEBVH1TV3w6y/1eq+tNExjQcVHVtKk+fhBjqPIyiXUefP8PYxr7h73fAl7GWMwvwrX6OWwB8A+teiolY16O+F+/4HC9wg8FgSCI3AltV9QlVbca6gN/fN9ErgKdUdYO9mupRor9fY8QYgRsMBsPALAK2hT3eBVSG5foJ8TBWziBEpAxravDNeAdnBG4wGMYCy0Vkc9jP3VE+r5Cwu5Dt+xn89nbCtveqao+I3IV1k+AHsO+LiCcxX1UQC8rLSnVKddXQBw6T4Hl3fxsMhuEQCIx+2fHOndvPqGrFSJ7b4/PT1DC8+706Wn0Ab6nqLQMdIyL/zPk5lsC6ByMn7LhMLG8299eOqj4sIr/FzuApIhPs3ENxwZECn1JdxfpXn41pm51q0mwYDMPF29IT8zanTSk9NvRRiUVVvw18O3K7iNyJNQ8eYi5wQFW7Io77CnBMVX+rql1iFTX5f1gj9cZ4xZ32UyidWmjkbTCMgHjIOwV5AlglIqvsFSnfxkrDHMlp4D4RmW6nzPgSsFNV4yZvSDOBh2Qd/mMwGIaHt6XHyNvGFvAdWFlAa7DSTnwHQEQ+ISIH7UN/gZUq4k2s5HtXYOXRjysJmUIRkXuwElDlAa8Bd6nqqdG2awRtMMQOI+3+UdU1wJp+tv8aS+yhnEGft38SRtxH4LFc4G5G1wZD7DEj7tQlESPwswvcAUTkUfq/2tsHI2iDIb4Yaac+iRD4w1jJkKJe4G6W+xkM8cXIOz2Iu8BDayDtBe4PYRUHuDbyOHth/d0Ak6tivwbcYDAYcacbCVuFoqoPA7nAP2ItcPdE7H9IVZeq6tLysvJEhWUwjAmcMM/dfKaT5jMm6WQsScRFzK+IyO0A9uL3/8IqoWUmuQ2GOGPEnd4kYg48tMD9Taxq8p8nAQvcDYaxSrKFDRhhJ4hECPwXWLefvomVU+BNErDA3WBIZ5wgaTCiTjaJuIiZlAXuBkOq4xRJhzCydh6OTGZlMIwFnCZoMJJONYzADYYE4gRpG0mnD44UuIsAudI66nbM3ZwGJ5BoaTtN0MPN322IHkcKPFaEfwgYmRsSSaKk7QRZG0Enj7QWeDi50mokbogr8ZZ2MmVtJO1MxozADYZYE09hJ0PWRtKpx5gSuBmFG0ZLPKSdSFkbSacXY0rgBsNIibW44yltI+mxgxG4wTAIqSBuJwq7/qQ32SGMCcacwM00iiFaYinvWIo70cI2MnYuY07gBsNQOFHc8Za2kXRqMiYFbkbhhoGIlbxHK+54CNtIOv0YkwI3GCKJhbidJm0j7PTHCNww5onVqLukPPfs7yOReem4/AH3jUTulROLh/2cSMyHgLMxAjeMSeJ91+RoZR5JrOUeLbH4EDDEjzErcDMPPjZJRjbAkMzjtfZ7MLkb0psxK3DD2MEJKVwh9qPysYivq3fY0zot3o44RZN8jMANaYtTxN0f4TI3GEaKEbgh7XCyuA2GWDKmBW7mwdMLI+7RU1yUmewQDMNgTAvckB6MRXEb0RogQQIXkTuAbwDlwBbgblXdn4i+DelNOso72XKORTlDQ2KIu8BFZBbwAPBhYC1wL/B74OJ49x0NZholNUl1ccdD0k4Vr7v9SLJDSFsSMQK/CnhFVZ8BEJEfAP8qIqWq2pSA/g1phBH3OeIpbCPd1CARAn8CeC7s8RKgE3DmcMHgSMa6uEcj60TL2OV9J6H9jWXiLnBVrQ/9LiI3Aw8C96mqP/w4EbkbuBugumpSvMMypAhjVdzDEXY8BG0knBok6iJmOfBzrNH3nar6ZOQxqvoQ8BDAkosv1ETEFcLMgzuT0cg71nc6DvfGm+GKO1HCjqeYtdGsS0g0ibiImQesA94E5qiq8+o/GRzHSOU9UnHH4s7IaKUdT1nHUtBGyM4nESPw24BTqvqpBPQ1Iszo23lEyjBaoSfqFvVkyzpWok6UpH11exPSz1gjEQJfBFwpIv6I7TNU9VgC+jekASMVeqz7HQynyjoRkjaCTg6JuIh5D3BPvPsZKWb0nZrEQuijWRmSLFk3tffS6QvS3RvE12v9m5PpYt7kvLiK2gjamUQtcBGZB0wEXOHbVfX5WAeVKIy804d43r0Ya1n7evycON1CW8MxfL1BXAKXzLL+L768q5naMz58vUq3LejS/AzuvHoCAI+/dYZTzX0/rCYXBZmb00N9u3C02cWlVYFhvDo7JiPolCQqgYvID4FPAocjdimQsgI3GCKJx8i6vdNHYY81W/j/t/fmcXJd5YH289be+6pdam2WLcurLNmWwSYGQ8iQDIaBOCEwkABxCMMwhIQJmXwEhkyACV/4hiEQxySEQCAESHDAQ1iGxXiTsWRJlq2ttfa+d3VV1173vt8ft7pV3eqlutVVdav6PL9f/7rvUve+VbfrqbfOPee8/3ZkjENno+R3s2oIeacFnsoolg31NV7aggmCPqWlJjWdXb9ym4dsBwR9StALIZ8Syr2LXxjw8lSXl20tNuvqL5/BDXKe6D1V7hCqkkIz8LcBe/L7dFc6Jvs2FEPWtq2Mdr1I92iKrpEk3SMpJuIWH7h/MzUBL5vbgoT8Hjrag7Q1+An5PfgjndOC/qUOoGP+429rsa9Ylxo4SQrYX+PlsGcPPzqR5A0ds3OtlcdIufwUKvCzwDqgKgRu5L36WOpIxkKFnR05Re9YmnVNfmqDXo6cj/J/DjszRNSHvGxpD3LnriCCoKOnubEOqMs9OJn7kcXPs1AWnbGFpOUjbXu4s22Inw1vpCdex+ba5VWiMWKuHAoV+EeBx0Xkh8waAu/m7oGG1clyhp0vJuypm4vprM3ZgQTdIym6R1L0h9OowuvuaOPmrfVcs76G193RxmZvH80hRSQn0ejiMST6T5KyvCQsH4nc7+T03xtyy14S2dxvy0fC8pHVy7elXrGuhzpfhp8NbuRN2zoRMUKuZgoV+CeBH+JMBXvld7gKwmTf1ctKZ9me8Bkylk1nX4Kg38PO9TUk0zbffHoEn0fY1BbgJR1ZtjTZbAn1oqPQCNy0QI3hke5OeuL19MbrCWcCl6Vs+UhatzJfOi4oIW+WGq9FjTdLgz9Dsz1AyJ8iKGlCkuJ0ZgcHh1rZFzxK1K5jvPc0XinpoOY5Ge2vii/urqRQgW8C9qtqopjBFBsj7+pjpduxPeEzWLZyfjDJC10xTvfFSWeVW7bWscPfRQPwzv3C2nrF61n47ZDsP8l4OkhPvI6eeD098XrCmZsA8ItFSzBFjTdLkz9NjTc7Q9B2+CIhycnZkyJABpnt9lljlpq8UR6N3YeFhztDxwp+XRbDCNi9LCUD/5CIfFxVC/gyaDAUl0LEXWg79uy+1//ws0EuDacI+ZQb1ljcsM5ma0tyevuGxplZ7VT7tK0wlKzJybqO3viNxCw/ADXeDJtrY+xtHWZz7SSh0aN48rNjO/eTyS37Cwp9Bpt8Q2z0DnI0tYfd/nP0W2sBqBs5uvSDGSqCQgX+QZxbL38oImmc7oMC2Kpat+AjXYLJvquDxcS9FGmrKgPhNMe74pztj/Pbr9yAb6KTO9d7OLABdrbaePNGPcy+kZixhf5EHT3xdfTE6+lL1JG2vQA0+VNsq4/Slj7Leu8QzZ6ok0Ev4cblXCyWDe/y/IzHQr/Ks6Pr6PLtIYufV/M8nspu+TTMQ6EC/2PgX2etqwc+vbLhrCxG2tXD1Yo7P8uOJrIcPj/Ji10xRiezeETZ2WoTG+ykKQTXrXFklxo4Sf78D0nLS+90c0gdA8larNwNxFZPmGt859ngHWa9b4j6qeaVRcYXrXTzxBq7lzVWF2f8+9mb+jEHQ/+eC74b2Zl9fkXPsxiDw6mSnm+1UqjAfwdoV9U/EZEWnF4p7wD+rmiRLQMj7OriaptJ8qU9Ec9iq9JS52cyafGzE2G2NdscuM7m+rUWNbkmi/wsWxX6EnV0Rpu4MNnIcCoECB5s2r1j3OjvZr1viPXeEUKehYfyl7Id+YbMQX4aeoCYp4l2q4eT/jvZmj2BL+/jyAi2OihU4PcAj4rIPuBO4CCwT1XLOsTLCLs6WalsO5ayONkT54WuGF0jKW7ZkOW112dZp/C+l0JD8PJjpsSdtYVLsQY6o02cizYRs/x4UNZ7B9kf7GS9b5i13lH8svhw9XLd/Gu3+1hrXeKMfz93pL7L46E3cjR1I1siz5QlHkPxKEjgqjomIvcB3wDOAPer6tInXFghjLirj5VsIgH415+P8HxXDFVor7O5d7tzMxJAxJH3lLSTlpdz0RbORps4P9lIRr34PRZbvD1sD/Syxd9HUDJXnHM+3NBrY8Pw4wytfwvdiTbWZ44RsMw0/NXIggIXkZMwY9oGP7ATOC+5EQqquqd44V2JkXf1sJLSjqcsjnfFuOOaBkSEVm+Yu7YIN663WFun013wpqQdyfjpjLZzNtpMd6weG6HOl+Ea/3m2+XrZ5BvEK4Xf+HODtPObRRrppSVxnp7GO7mj9yG8WvgHkKFyWCwDf1dJoigAI+7qYCW6/+WLezSa4eCZCMcuxchayibvAJualLu3zXxMsv8kw6kQndH1nI02MZh0OlG3BpLcHDzJNl8Pa72jV/a1XoRyi3uhtuyO8BMc2/BW+hpuY1PkWQbqb6YtcZagycarhgUFrqqPlSqQ+TDirmwKHWiz1CaSWNLiO4dGOdOfwOtRbl5ncWeHxZq6y18YE/0n6YnX0xlt4mx0DxOZIKBsrIlxZ+go23w9NHuXPqyhnNJeys3HxnQ/LYlz9DTeSUv8HOdbX0lsci27xswEotVCSYoaLwcj7sqlWNK2bGVsMsuaRj/B6FmikwHu2Wazf3OW+lx3vXj/Sc5PNtIZaebc5E0kLB9esdlaF+UW3zG2+nqp9STnONvilEvcV9NjZGv4SY5ueCtjtbtYHz1Kf8NeNkeepSY7voIRlo5kIk1/9+iSHhMerd5vHK4UuI233CEYlshKDmmfLe5kxua581F+3hnFtrK89yUpvB54x/70dJPHcPdZjo2383z4RmJZP0FPlp0NETZlTrDZ109Asiz136pSMu2FaEj30xo/S2/j7dzS/yUG62/iUvPd7B75zooc31BeXClww8own1RX6ttNMaUNTt/tg2ciHDkfIW0J25otDnRYeHLSTg6c5OJkI0fG2zk/eQMK7KiPcK19lM2+frxowUPSy92WDcXrm90x8QRHN/wmI/V72BQ9RHfTS9g88Qz1maGinM9QOozAq4xCpLqc6VaXS6EDbfKxbMXrEUZ6L/DsWT971toc6MiyocFp3x7r6eR4uI1j4067dq03w53tg+xIPUODJ75opu0GWU9RigE1DelBWuOd9Dbczt6+LxAJbMQW8y23GjACrxJKKeXFWE62batyujfBwRODbGy0+cVdWba3wHtfkqIh6PQi6Ryq5+h4O2ciN2DjYUttlNt9z7LN34s3Y8+q1urgJllD+UZAbg0/wZGNv8Vgw83cPPRPZYnBsPKUTOAi8jjwAVU9WKpzVjtukjYsL9tOZ22OXpzkmVOjjCc8NIeY7kkiAvbIGZ6aaOHo+G5GUzUEPVn2to6wM/0sLd4rn79bhO22oer1mSHa4mfobdzPxughAIbqbmBj9LnlzqtlcAFFF7iIvBp4PXB3sc+1mnCTvJeTcQPo6Gm+f8rHkT4fmxrhFTvT7F5jkxk8ycULNRwdb+fUxA1k1Mv6UIxfqDnITn8Xfsu6opnEiHtxOsJPMLrx7fQ23E7QinK+9VWEshHaEmfLHZphmZQiA787d57q7ctTQtwkblh61j0azfD0813s22SxvgHu6rC4ZYPFliZlsu8Uh0+1cHT8WgaSdfjF4vqmca7JHmKN98pub26RNrhb3FPUZ4Zpi52mr3E/+3ofpqbxDi42v4zWxDkEXfwABtdRdIGr6ocAROSVxT5XteMmeS9V3D2jKZ463supYQ9ej5dNjcr6Bov6yAmSqRDfvdDGC+EbSdk+2oIJXho6xK7ARYKacW22DZUh7ny2TjzBaN119DfuY2v4cU6tuZ+huj2si71Y7tAMy8A1NzFF5EHgQYDNW7aUORp34SZxw9Lkrap87ScX6Bz1EvJ5uHurxe1bsnhGT3HsdBNHxq+hO96AB5vrGsNcYz3HBu/wFUPa3SRtqDxxT1GXGaE9doq+hn3s732I+tQAl5rvZk3spCn6UIG4RuCq+jDwMMDevbeZ73M53CTvQsWdtZQzfXGu31wLY2fY2uJlR6vNrRssIv1nOXiqjefDNxDL+mnyp7gjeJTdgfPUSOqK/0gj7pWnY+JJRmqvo6/xDraFH6O/YS9ZT4iAHS93aIYl4hqBG2biFnEv5QZlMm1z+HyUZzqjTCYt3nZbio5mOLDF4sy5Hv7lSDtno5cH3FxnH2Gzb2BmbUjcJ22oDnFPUZcZYU38JL0N+9gYeZY9w98qd0iGZWIEvkxqJVK0+VrKLe+lFgNOZWweOzHBc+ejpLPKjhaL+3dbtNcqT7w4wtHxdsbT11DjzXBH2yA70j+n0RNzdds2VJe0Z9MRforh2uvpbbyD7eHHSPhaiPnbaU90ljs0wxIwAl8CpRBrOeW9HHEH/R484U5OXgqyq83mro4sqvDzs5P800QLWd3MpppJXrLpIhuiz+DNzhxwY6RdHmqzo6yJn5ieavZC8y8QrtlGU+9D+O3lTfZlKD0lE7iqbivVuYpFtc6QWIi4p6StqlwYTvH06QmGxhO8564UPg+88/YUJ84P8ujx9lwXQB83NI+xK/Msbd6w04k078akEXf5mcrCexrvcHqn1O6iu/EAO8I/LXdohgIxGfgqZint21lLOdkb5+CJIfqjHur8yu2bswzHhCPnJngh3ErS3jqzC6B9ZRdAcI+8V6O086nNjrE2doL+htvYHPk5a2Mv0te4j03RwwStpc+Tbig9RuAuolTNJ0vtBsjYGS6OevjWsQCtNfDvrs3gj/Xw/FAbP73QiIc17GoMc611eM4ugFO4QdyrXdqz6Zh4iqG6PfQ0HWBr+AmG666nq+ml7Br7XrlDMxSAEfgqYj5xzyXtc51nOdTrpb1OuW8n7Gi1+febzjOWCvHE+Xai2e00+NLcHnye6wLnqJPkvP9N5Ra3kfb81GTHWRt7kf76W9kceYZNkcOoOOMyzRwp7qeqBZ6f0VZr+3UhFCruRNri6IsXONzrZSwRoNavbGzM8vyZfo6HW7kwuR1F2Ozr567aTrb6+q7oApiPEXdl4GThN9DdeICd4z8qdziGJVAVAi90DuzVJvG5xD3XMHcdPQ3A90/4eX7Az+Ymmxvq+4hmfRy81ErS2k69L82twRNc5z9Pk3f+aW0KlbaRq3uoyYZZF3uB/gYnCw9ak4SDW/DbCeoyI+UOz7AArhV4uftCVyqFZttZS3nx5FkO9fp4zXXC+gblptBZgq3NXIo18PjERrxis83XzXXB82zyDc7ItpeSXRtZu58tuSy8p/FOtoUf4+Sa11GfHuSmoa+XOzTDArhS4B6scodQURQqbYCxnjM81+vlaL+XeCZAa43NqYujPJas4Wx0FzYe1oXivDR0iGv8lwh50tOPXUzaRtSVS012gnWTU1n4z9kycZALra8gHOqgOdlV7vAM8+BKgRsWZynSBqeZJGvB558Nks7CthabgBWhO1bP48MbqfFmuCFwhusC52nzTkw/bj5pG1lXH1smnmKw/ka6mw6wY+zH9Dbu50Lzvdw8+FW8mi13eIY5MAJ3EXFtXLDpaKnSjg2c5li/l66whwduAkthT8MIffFaLozXITSzoz7CTvt5Onx9eOXybHSzxW2EXf2ErAjrJo8zUH8zWyYOsn38p5xe81qOr3sTtwz8g5kz3IUYgbuA+aS9nCw7bcGZEQ8nhrycHQlgqYc1wQTfOJzkXLSJrK6hxTPBgdARdvkvUutJMjo0SHjWsYywVydOFn4TXU13sWvsB/gGU2S8tUbeLmXVCNxNPVBmC3s5os4nY0Fi4DRBr83JiWa+07udGknS5plk0qplOFXLRMpLR+YFtlonaLUHEOCikbRhFiEryrrJ5xnMZeGtyfPT24ZrdxMLrGFr+AkjdJdQ9QIvt7jnyq5nC7tQUQOkBk4CkLWFC7FGjg94uJjZxG1BZbN/kEvpIDV2hISnkUQ2yFq7my1jR2lLdOLVLFlg6OqflqGK6Zh4msH6m+huuotdY9+fXh8JbqKvcT/RwEauG/k2ATtRxihLR66u718CG4H/A7xDVa+Ya0BEdgBfAG4HLgHvVtWfFjO2qhJ4uWUNhWXXC/XFnmJK1PlM9J5CFR5L3MGFzBbSBPBpilqd4FhiFz9P3Qpq05TqYmP8IG2JToKWKUVqWBpBK8r66DEGGm5lS+QgoaxzU3vn+I+oSw9xtu0XObLhN7l++F9pTPeVOdriIiItwD8Cbwcewyk686fA++bY/evAt4FfBt4IfAXYVMz4qkrg5eg7vhxBT335nE/S+Qz3DzHk2ULYs5bd2UFsPAx4fHi9UbyeWrLeGqLqpTZ6geaJ09RHzuK1nMxodrv2XKxr9iy+k2HVsSVykIGGW+hqvItr8+ZFWR87Tn16kJNrXs/z63+DfX1/S032yoLTVcRrgedU9REAEfkEThY+Q+AichvQDvypqirw9yJyVkS8qlq0ftFVJfBiUEhzx+zsWSlMzlPM7vGhCGciaxmu281I7f1kvbWIlebSZAuxxh3YvhrESlMXPUf9xGnqIufw2uk5j70Yg2HbSNxwBUFrkg3Ro/Q17ifla2RL5CBNyS4EqM8McevAFxmp3T0t7yqeO+Vm4Eje8gvAOhGpV9X8r7f7gE4ccb8GuIDThFLUQS2uFLg91xykRaCQ7Hml5Qxz9/BQYDAMgk247TaGNr8asbN4szEgg3oDxBp3UB85S/3EaWqjF/CsUN/cwbDTfdCI3JDP9vGfErCi9DbczvF1b6I+1ceWyDO0xTvx2yk2TB4DYNK/ls62X+K6ke9Q695s/ICIHMpbfjhXh3cxGnHaswFQ1ZSIZHPr8wXeDtwH/Efgd4DfAh4RkZ2qWrQKGa4UOCzeJ3q5LCejvlphw0xpK5DyNjIZWM+griVZs4FU7XpavY/jsTNEG3eBbaEeHypemsaPO9Ke7EKKWDnciNwAl/8PwCYQPshWeZZIy02Mrz3AyTWvx58cpXX4GRrGX8CjFvG6APG1TRxZ/zbWdT9Kw8TcN+VXgmQszcD50SU9Jjw0CXBQVR+Ybx8R+W/AR+fY9GWgJm+/AI435/qkOq6qX8n9/TkR+QhwHXBsSQEvAdcKfKXlvZxsG66U91LFrUDXWJDJ2q34rCTNqS7Snlqe3fy7uR1sPFYKUZvhTa8C8eBLh2kePUzDxGlCsd6Sd9m6/AY2Mq8W8q/pUvGoRfPYUZrGjjHZdB1jaw8wuOU1jKy/h5bhZ2kaPcLWM39H/9bX07/tDSSHDtLe/9OK6mqoqh8DPjZ7vYi8A6cdfIrrgU5Vnd0F5yLgz3uc4BQPLGpXHdcKfCUp9EbjbObKvAvlhO9OhrxbGJd2rM0hAPzZSbyaJulrvryjeBC1CKTGqBnroX7iNMHEgGvaE00beWWyXGH3TizynzdxGm/XaULNW0lvuYuRja9gZO1L8Pc9h+/4t/B1HGB84wFiExP4+48sfKzK4BHgkyJyD07798eAr86x3/eAvxKRd+L0PnknTtNLUatEu1LgXq+HQOOGlTvgXMfa+JIrVs3+1625Yo/L61SVcDhMd3c3Fy5coC/Yh2VZbNq0iZGREfr7+51qNjm8Xi8ta3fQ3t5OW1vb9O+2tjZCodCyn5rBUE76+vp48sknOeELYW+/h71797Jx40ZuueVDeDweMpkMfr9/xmM+MF/JJheiqqMi8jbgS8Aa4BvAxwFE5K3An6jqNao6LiK/CHwW+BTwLPBGzZdAEXClwN1ALBajv7+f0dFRwuEwExMTxGIxOjo6iMVidHZ2Mjl5ZR/rTCZDe3s7+/bto729fVrUTU1NSAX94xoMhbBx40Z+9Vd/ldHRUZ588kmOHDnC4cOHOX/+PLfddhvf/va3ueOOOzhw4EDF/v+r6neA78yx/ks4Yp9a/jnOIJ6SURKBFzqSqdjE43HS6TSJRILu7m66u7uJRqPEYjGSySSpVIrm5mYSicSccgbo6uqivr4ev9/Pxo0bWb9+PR0dHaxbt47W1lYCgUCJn5XBUH7a2tp47Wtfy8tf/nIOHjzIoUOHeOGFF6irq+MHP/gB3d3d3H///QSDwXKHWlUUXeBLHMkEOFlsZ2cng4ODZDIZ0uk0mUyGTCZDa2srfr+fcDhMf38/2WwWy7Kmf7e1teH1eolEIoyPj6Oq2LaNbS/cJuj1evH7/TQ0NLB58+ap2GlqaqK1tZX29nYaGxupqamp2EzCYCg2DQ0NvOpVr+Kee+7h2Wef5eDBgwCcPHmSnp4e3vzmN5c5wuqiFBl4QSOZ8hkeHuarX53rPsH8iAgigtfrpabGaan2+Xx4vV68Xi+hUIi6ujq2b99Oe3s7fr+fUChEe3s7gUDASNlgWEFCoRD33HMPBw4c4NixYzz22GNEo1G+8IUvlDu0qqIUAi90JNM0ra2tPPDAA0SjUYLBIIFAgGAwSCgUor6+nlAohM/nw+MxvSMMBjfj9/vZv38/t912G4cPH+bw4cPlDqmqKIXACxrJJCIPAg/mFlN79ux5oQSxXQ3tQCVUfK2EOE2MK0clxHlduQOoFkoh8DAFjGTKDWt9OKVhB4QAACAASURBVLfPIVXdX4LYlk0lxAiVEaeJceWohDhnDWk3XAWlaIM4BdyYtzzfSCaDwWAwLIFSCPwR4B4RuSfXI2W+kUwGg8FgWAJFF7iqjgJTI5m6cQrCfHyRhxUyS1i5qYQYoTLiNDGuHJUQZyXEWBGUZCDPfCOZFtjf9Re4EmKEyojTxLhyVEKclRBjpWD64RkMBkOF4iqBi8gOEfmpiMRE5ISI3FvumGYjIh8QkR4RmczFurvcMeUjIo+LyIHc3yIinxKRCRHpE5F3lTs+uCLGWhH5oohERGRARD4tIv7FjlEK8uOctf7PROR7cz2m1MyOUUTeIiIXc9f8WyLSvNDjS8Wsa75GRB7JxTicu+alqeJSZbhK4DhFQX8MrAX+J860jK5BRO4E3g/cA7QBzwCfK2tQOUTk1SLyEHB33uq3A68E9gCvBv6HiOwtR3wwb4wfBHbjxHgrcAfw7jKEN808cU5t2wv8fumjuiKOK2IUkVtxZsJ7E7AZCAD/tTwRTsc012v5UZzuxetxrvl9gBljvwxcI/BZRUFjqvr3wAMu+2S2cGo0TN078AJj5QtnBnfjxJU/uvUtwJ+raq+qHseZk+bXyhFcjrlifBXwSVXtUdUB4G9x3tDlZK44yX0z+DzuuAk3V4xvBx5S1adzk8X9Fnmz5ZWJueLM4rjHgzOLs5veRxWFm6aTLUtR0KWgqodE5NvAVDWIBE4GUXZU9UMAIvLKvNWzpzF4EScjLwvzxPhOoCtveT/QV8q4ZjNPnAB/BPwIOAlcW+q48pknxn3AT0TkOaADp+PAe8oQ3jTzxPlR4DkuS/1HOPMjGZaIazJwLhcF/T6wBfg7nKKgrql2ICL3Aa8HbgMagC/ismaeWTQCE3nL0dw616CqL6pqVETqROQzwH/AaT5zFSJyI863l4+UOZSFaAfeCDyA8wHTwdx1HsvNp3CaH5txms+2UuZms0rFTQKHXFFQVU2o6udwasy5ad6E1wFfVtUjuYm4PgjsF5HWMsc1HzOmMQBqmbsYa1kRkVfgZLU7gNtU9coaeGVERDzAF4D3VMAI4r9W1bOqOoYjyleUO6A5eB3wEVWdUNXTwGdw7tEYloibmlAuUoaioEskjtNeN0UWp13cTTHmMzWNwVRdvj0UsUL2csgV+/ga8C5V/adyxzMPDcBe4N9y0w57AY+IDKjq+rJGNpOL5L2HcN/7Z4r4rOUMECtHIJWOmzLw7wEbReSdIlKD03ZX9KKgS+RR4C0iclsuxo8A33NxVvYV4A9EpDXXg+bNODX93MSHgd9zsbzJZYp+VQ2pagj4beCHLpM3OB+E7xaR3blvhe8H3Pi6fgf4sIg0i8hW4HeBfy5zTBWJawSuquPALwK/AwzifM0qelHQpaCqj+PcyPo6MIDTfveOsga1MJ8HjuJ8EH4TeJ+quukDEZwbrX8jItm8nx+VO6gK5YvAX+HcFDyBU1j3L8sZ0Dy8H+d+zDngCeAfVfWb5Q2pMhEX+dFgMBjmRUS27erYf+H+e9+7pMedOP8U333iod9X1U8VKbSy4ZoM3GAwGAxLwwjcYDAYKhQjcIPBYKhQjMANBoOhQnFTP3CDwWBYkNRkmuGzSxuLFh2u3i7mJgM3GAyGCsUI3GAwGCoUI3CDwWCoUIzADQaDoUIxAjcYDIYKxfUCF5H/IiLzVpERkd8Wkbes8DlVRNw2UdG8lCLeqesgItty57tiAn4R+Zfctm0i8vsiclZEAnnbRUR+LiJ/nnecT8w6xm+KyPcW2577e8WvvcFQSbha4CLSCLwVZyKm+fgS8L7c7ICLHe8TImKLywoRL0QxSsot9ZhzXIcs8BIRacrbpxanVmg2t+rTOFOZ5k9c8RZgA5eLDNjAexe4HottL/jaGwzViKsFjjNt5yOqaonIfSLyvDjV4L8+VURBVVPAT3DqAc5L7k3+VpxKP/POhiMiL+T+7BGRdfOdV0TuFZETIvJZEYmJyDMi8loROZ6rtP2BvP2Oicj/JyJRETksIjfnti107GdF5G9xSk8hIu8QkUsiEheRp/OOkR/vr4nIqbzncu/U8jzHnPP8C12H3LKFU3z6V/L2eQ3weG4bqpoF/hPwxyLSnnv9P4YzdexUKa0M8BDzz5i34PZCr73BUK24XeBvAH4sIpuBrwLvwqm2nQD+Im+/HwP3L3Kst+C82T8M/IaItMy1k6remPtzM87k+Aud93qcSjLrcst/mYvjZcCf5WWoN+NMtt+KU1j4ayLSscix9+GIdn8uA/4M8FqcMlRP5p7H7HgHF3kN8o+52GuazxtwXuN8/jm3Pn+fGXM6q+rPcOZ+/gjwB8CJOaYN/TCwe4FmssW2F3LtDYaqxLUCF6eM1e04hXjfDHxTVZ9S1TDOm/p1ebs/D7xkkUP+Z+BzqtoD/ACnmO5iLHbeMPDZXEZ5LLfveVU9CUS4LPYx4H+raganzNUm4E2LHHtIVT+be0w691ocB9bjNFO0FRD/bPKPudhzA664Dvk8CrxcnFqWQZzq8o/Occ4PAL8O/B7ONZhBrnr67wF/ISL1S91OYdfeYKhKXCtwHEF5cIrybgUeFJGkiCRxSoU1yOWCx2NAXS5TvQJxai6qqj6ZW/W/gfcU0Ba82HmH8gpO2DjSzmfq9e2Z2k9VbWAUpwbgQscOzzrWH+EUZvgScMMicc8+/xT5x1zsuU2Rfx2mUdUIzmT8/w6nEMezqjox67Go6iBOs9WjqnpmriBV9RvAC+S+VSxx+4LX3mCoZtws8Kl5WgQYAj6VV9KqCbhTVZO5fexZv2fzXuCzUwuq+gQwglNhfiEWO2+h1TC2TP2Ry1bXAz2LHDuf/whsA7ar6r3AFT1ActjMvKZrF4hpsec2Rf51mM1UM8obgH9Z4FwxrqyDOJv/hFONac8Sty927Q2GqsXNAh8GkkALjih+XUSuF5E6nLbaP8rbtxVI5N0cm0ZEtuO0SX9l1qbPAO+b59wW0F7AeQulRZxanyHgT4CzwCeXcGwfTiHdUO7m5bsBv4hMSXUq3h6gQ0TW5L5dvG2BmAp9bvnXYTbfxsm+fxn41wXOtSiqei4Xw39Z4vZ5r73BUO24VuC5Xgw/B25S1ePAB3HaWIdwvv6/O2/3G4Gn5znUe4A64LSI9Ez9AB8HXioi++d4zLeBwzh1Lxc6b6Gcw/kQGQXuAx4o4Dnl82WcJowhnJqHvw9ci5OV5scbBT4BHASeAQ7NF1Ch58+/DnNsG8ud94SqDs13riXwCZxmoqVsX+jaGwxVjatrYorIHwBNqvqhRfb7OE4782cX2q8ciMi9wEOqWjF9z2dT6HUoB26+9oaVRUS2dbTefOHlu5dWR/z88CEe7/yyqYlZBv4G+BURmXfechHxA7+Ec6PMUBwWvQ7lwFx7w2rH1QLPdW/7a5xuaPPxZpwMd7GbZIZlUuB1KAfm2htWNa7KqOZCVR9aZPsXSxTKslDVnwIV23wyxWLXoRy4/dobDMXG1Rm4wWAwGObHCNxgMBgqFCNwg8FgqFBc2Qbe3taqWzu2LLiPzYrPsmowGErA0aNHRlR1TbnjqAZcKfCtHVt4+rHvLbpfXM30FwZDpdHSXL/QYC3DEqjoJpRamT13lMFgMKweSiJwEXmPiPSLSEREHhWRDSt17FqJGJEbDIZVSdEFLiI3Av8dZ67pjTjzdfz5Sp/HSNxgMKw2SpGBvwxnLuhncjPGfYXC57NeEkbiBoNhNVEKgX8ep6YiItKGM/z5qWKdzEjcYDCsFooucFXNqGpaRH4bp4jC64Cvzd5PRB4UkUMicmhkdPSqzmnaxQ0Gw2qgZL1QVPXzQC3wh8AjuZnk8rc/rKr7VXV/e9tyyj1eiZG4wWCoZoreD1xE/hi4pKr/oKoJEfkr4H8BjTgFDopKrURMf3GDoUpIJZIMd/cv6TGR2OzystVDKTLwYeCDIrIjV1LsD4Djqlp0eU9hMnGDwVCNlGIk5heA63FuXNbkfr+hBOedgcnEDQZDtVF0gedqKv5e7qesGIkbDIZqoqKH0hsMBsNqZtUJ3LSHGwyGamHVCRyMxA0GQ3WwKgUORuIGg6HyWbUCNxgMhkpnVQvcZOEGg6GSWdUCByNxg8FQuax6gYORuMFQKsIT6XKHUFW4siamwWCofIysi48ReA4zStNgWD5G1uXBCDwPI3GDoTCMsN2BEbjBYFgQI2v3YgQ+C5OFG1Y7RtiVgxH4HBiJG1YbRtqViRG4wbCKMKKuLozA58Fk4YZKxoh6dWAEvgBG4oZKwQh7dWIEbjBUKEbaBiPwRTBZuMFtVKK4x0fi5Q6hKjECLwAjcUO5qSRpG1mXDiNwg8GlVIK0jazLS0kELiJvA/470A4cBh5U1dOlOPdKYbJwQylwq7SNqN1J0aeTFZFdwGeB3wXWAN8Dvlbs8xoMlUJ4Ij394ybGR+LTP6sZEXm1iHSKSExEvi4iDfPs924RuSgiEyLysIgEih1bKeYDfwXwE1X9N1VNAP8vcIuItJbg3CuKmTfcsJIYabsfEWkB/hH4ALAZEOBP59jvJcD/A/wysAO4FvjDYsdXCoE/AvznvOV9QByoSBsaiRuuFreJ20h7QV4LPKeqj6jqOPAJ4Nfn2O91wFdV9UVVHQU+DTxQ7OCK3gauqoNTf4vIG4CHgA+qarbY5zYY3ITbpF1KxoYmS3q+FeRm4Eje8gvAOhGpV9X8JxUAYnnLAmwvdnCluonZDvwtTvb9DlX99hz7PAg8CNCxZVMpwlo25oamYSmsRnG7UNgHRORQ3vLDqvpwAY9rBC5NLahqSkSyufX5T/L/Av9LRD6fW/9ewHv1YS9M0QUuInXAE8BTwO5Zn1rT5F7MhwH27b1Fix2XwVBs3CLuUki7VMJOp+KMjFxafMc8otkRgIOqOm+Thoj8N+Cjc2z6MlCTt18Ax5vj+Tup6qMishd4EkjjNB0XPQMvRRv4m4F+VX37fPKuRExbuGEh3CJvgJb2Wlraa4t6jta19dM/lYiqfkxVfbN/cJLPG/N2vR7ozHXImEZEdgDfUtVNqrodOA48Xey4S9GEcjPwC7mvHfnsVNWlfZS6CNOEYliI5qbLPcjcIvOFJL6SWXqlSnweHgE+KSL34LR/fwz46hz77QM+KiL3As3AB3G6TheVUtzEfA/wnmKfp1QYcRuWihtlPptSyb3SUNXR3EDEL+GMY/kG8HEAEXkr8Ceqeg3wz8AvACeALPBnqvqjYsdnhtIvASNvw9UyJXO3inwultr8Um3CV9XvAN+ZY/2XcMSOqto4iWpJk9WCBS4ie4CNzGo3V9UfrHRQbsTI27CS5GflhVIp0i92e7vhMgUJXET+AvhN4PysTQpUvcCNvA1uYDnSn49K+TAwLEyhGfjbgD35g3JWA0bchmplJT8M8jEfDKWlUIGfBdYBq0bgRt4Gw9Ip1geDYW4KFfhHgcdF5IfMmsNEVd++4lGVGSNvg8FQCRQq8E8CP8SZy9suXjjlxYjbYDBUEoUKfBOwf/boo2rCyNtQDZgRwquLQofSfxL40HwTma80Nl7i2lgyqRp5GyqVWonM+DGsLgrNwD8I1AF/KCJpnO6DAtiqWles4GCmXIvxD2rkbagkKkXS3skL5Q5hVVCowP8Y+NdZ6+pxJi0vGSspcyNuQ6VQamkb+VYOhQr8d4B2Vf2TXImhjwLvAP6uaJEtwtXI3Mjb4BaKIWe3CtgTPlPuEKqOQgV+D/CoiOwD7gQOAvtU9WTRIlsCs4U835vCiNuwkhQ7My62iI1QK5+CBK6qYyJyH85MXGeA+1XVKmpkV4ERteFqcHtWXErx6ujpkp3LsHQWFLiInMS5YTmFH9gJnBeRGICq7ileeAbDyrMSgl4pIa+kjMsp29SAK76MrzoWy8DfVZIoDIYVZqWy6KsR9dXKuRhCXopoVUFk5c490Xtq5Q5mABYRuKo+VqpADIarpVSZ9dWIeTlSVoV4BhIZITJ4iYTlJWn5aAsm2VATJ2l5+WH/ZlK2F0s92Aqqws0to9zYPEY04+ebXTuxFWyuR1WwEV66pp+bmscYSYb4ysVd2Ai2rSgebIR7a57husAFhrOtfDf+C/jJ4pcsPnF+7wseZ4NvhLDVwMn0Tvy59X4y+CXLJt8gtZ4kKfUTs2vwSy1+ZhfmMlwNpqCDoaIptrSXKuvFBK0KiQyMJQSvB1pjJwB4fGg9cctPMifnhOXlmvoJ7l47gKXwqZN7c0e4dvpYt7cOsqEmjkeU3kk/AUnjczSMByU53stE7BIJO0id1YQHRWRKz4pn4iITsUHSdohdPo+zHUXEeXybNwxAQNLs8HeTUR+xhEVW/CTwMzEZJmAPMuAJ8WLwGizxz3iuL0t+k7X2IN3ea3km+Jq8LceX9Joa5scI3FCRXK24r0bahUh6Mg2prNBep6QGTvKD/s30J+oIpwOkbOdtt6shzOu3OI85Hm7DViHktajxZgllx/FM9jGROQvAPaEsAckQlBRBSROUNDXZJBO9Tkb7poYT88YTH+xiP11zbhvN/d7N3OVpne2D7OHcvMdfb1/i9YnPoghZ/PSPKZb4yVqTDGoG9V5kd/ARLAlgecxshSuJEbihYiiHtOeT9VSzRl3OR8/2eDnfP0k4HWQ8HSSjXtaF4rxth/P4hOWj1ptlY1OMUKKbJk+UJo0y0RsF4DdqT81sb57luT3Bs4z2X57NOQtEF366BTM4nFqhIwEkCc5aE7SirIk7r8NguGrnwisLRuAG17NccS/Wnr0UaZ8d9XBhzMNYQhiLpgmngwQ8Fu+57gUAuga3MpKqpTmQYkvdJC2BFKFoJxO9jnTvlVPOu82GfMPlS3k5KNA3olieIFlPAPDkuo3lPg1E0Km/kTm2TcUzcz8EFCEctRDN4rEziJ2Z+XtGBzVDOSiZwEXkceADqnqwVOc0VC7lkLYqTCSFnoiH3gkP/VEPv7rheXwepXNgE0fH22kOpGgOpNheF6E5kEIVIn2nuIdTUJM7mAUkmPHumkvUClj4yUiADEEyEiRDgIwEGZ30kPUEHTFL7nfux/KEnN+Sk3ZHoXPSLYN1C2yzLbAziJXJ/c6CnQHLkbzzOztjGTsD/Kx48a4yii5wEXk18Hrg7mKfy1DZlFraycHTeAV8Xjg55OHfzviJpZ0s1Cc262tixC0fjZ4M96zt4+Xreon05brC5SQdmTXBcr6obTzEpYGYNBLz3kjc00hMGglnG0j6msh4a0Hmke9Ulq42PjuFz07hVec3iTABK4XXTuGxUnisJB4rhddOg9qAgpKXIWtuNMdU/n3l+tHY1Kq8bVN7e3zg9aMeP3h94PGjXn/eb9+Vy76Q8/fU43LHcDACXylKkYHfnTvPZAnOZaggSilsVWW4u5PeCQ89EaE34mF4MsgDN2fYmn2RmkQN22rWsLE1zsaaGGtCCaJ9p9AhmJjnPLYKPYMxYtJEXBqJeRqJB25xhC2NJKR+pqDVJpSNENQwrYlzBOyYI+YpQc8S9dh4ArEzrGBXbAB6J648oneFzzHF5IzmdcmTuGElKLrAVfVDACLyymKfy+BeiiVrmFvY8ZRFz8Xz1AeUDY3KcEx46BknrQ16smysmeSa9hj1sXEIwoaaBHfzA6fpI3H5BqGlHsbtJsatRgYnIJbLouPSRFzq0Zo89akSsKKEMhM0ZC+xJhshlA0TzE4Qyk4QtKLzthsPhm1sIJP/vAp7iRZlLmEXk8l574kqWKbo8UpibmIaikIxhQ1XSltVOXX6LOfHpm42eoAAezdmeVX8OA0Kr9nYyoaaGK2B1HSPj4neU9MZdkr9jFrNjFotjFgtDKYaiEgrKjlJByCkMWrtCK12P62x8Zycw46gsxE8BVQcLGZPjFLLeor5pW0oJq4RuIg8CDwIsHnLljJHY1gqyxH2Uoapzxa2rUrfWJrIUBfXr3WE+H/PBoilhS01EW5aO8mGmjjra+KAMyT8xuYxR9gKMa1lxGpm1LqBEauF4XQjMU/T9PGDGqNZh1lvXaTZHiYz2kcoO4FXCxtJWCxJl0vQc1EGaY9lSC75QWmNAwyteDQuwDUCV9WHgYcB9u69zfRPcjnFzrDhSmlPxLOcG0hwrmuYC+Meklmhzu9n95oU6cGTvHFTgEZ/Bq9c/vcZ7zlNr90wnVWPWi9n1G4hqZf78tXb47TYg2zPvkCTPUyLPcTE8PiMc883/KQYonaTpGdTzkxbVSO10kwsMY5nCa32EQYAnipaYGXENQI3uINyTqU6W9ipjM3F4SQ7/d14PXCw08cz3T4agx521Y+yvS7K1roo6UFnZuMmf5qL3QMMZtsZtloYtVsYs27Cyv2bezRLkz3KBj1Dkz1Msz1Mkz2Cn8yMwSyzb1qupKTdLOf5cFPzSA1NJJigjtaC9leUNHEAd1a5uEqMwKucctRQXG6WbavSP57m/GCScz1j9EwItgq/eZuwpVm5JXiaG3fKdBt2xhbOdo8wkF3DgLWGwWw7aZw5Q/yapNkeYoftNIE028M06Ph0G/XgcAoLGJsjpuUKuxLlDO4S9GLU0kKc8YIFniZOgFoSGqnKb/UlE7iqbivVudxEpRShvVqWm2VPxLOIQEP8HJfGPXz5iNNYsb7BmaxpW32U1niMVFIJeryc6QlzKLuGAaudYasVO/dVutEeYbN1ija7jza7jzqNTHe/GxxOkYR5W0+XI+xKlTVUlrBn08Ox6xpZX/CUjnHGqaWlmCGVFZOB51gtol0plivsrKV0jSQ5e6GPc2MehmMe7urI8sprYG3yBL+yqZmtdVFqvVkmMgE6eyMcy2XYYdu5yejRLC32ILvs52iz+mi3+whw2UqDwylizI8RdkXTmSaGokgBPeTjhBnj0stKEFdZqHiBG/GWhqu5+ZjM2AQjnajCXz4VJJISvOJlc22Ue9dF2emfINGfYjhZw9joKCeG1jCQbSeutYDTHNJm93GjdZx2u48WexAvlyv6LTYZ01KEXcmihqqT9RWoqjbKOjIkCFC76P4J547GoaIHViZcKXAPlhFzmbkaYWeyNheHU5y72MfZMQ8CvPsApAdPcldrG3W+DOtDcUZSNZwfjPP9Uaf9OoMzSq/WjtBmd3Gd3Ue71Uujjs5oDhlZJJ5ChW1kXZlMtYMvJnCLLAKoamLBHSsYVwrcUHquRtiqioigo6d58qKXxy76sGzB5/HSURthe12EwUsR+pItdI8mGcyuYczejuIBlCZ7hA7rBG220xxSq844yMXarqEwWRtRVxeDnH55G1t/0symBfdLEKaG5hJFVR6MwFcxy23HhlwXv6EkZy/1c27Uw2/cmqGtFpozXdzS3ECLP0VGhcFEHU8PtfGjQWdwlp8MLVYfu+3TtFl9tNkD+ElPN4NEmX+e62qXtRF1wTwbn3eGmstU+w1MMAJfNVxNhj2Fjp5mJCZ897SP7gkPtgp+j7C5JsrpCxEms366wg0MWa3Tfa9r7Ynp5pA2q58mHWFo+HJOvdxufJUs6imMsJeHqsZqpQWbLJ4FFBYnzCBntpYwtJJjBF6lXG2TyNhklp6ui/RFPPRGPNyw1mJv4CTerJdo/Fq21qbIJieJ2PVciDVxIdaEqEWzPcwO+/lcd75+IkOXFZ3iyvHMq0XWUxhprww1NBFngnra5tyuKBkSAN0lDazEGIEvQFwb593mtpusVyPseMoinrJpy5zHVvj0k0Em0wIE8IlNgz/NyQtjnJANjFgtpDTIWDpEQAO0WX1ssY/TZveRGeqeMVdI/iu02kSdj5H2yjN1I3M+gaeJEaCuagfwTFGRAl9IrKWMoZwSv5r26/7xNF2XuuiNeOiNCOMJD2tDcQ60DzKcDBGkmawISQ2SVQ/j6RARXUOjPcpGPUOb1Y+OXKImOzbdO8TGmVN6NYs6HyPt4tLD0Z0NrJu30vJqaP8GlwrcxusKSS9GKSW+HGGrKqOTWXrHUowNDfKy7VmiKfjuCwF6I358YuMVGwGGkrV8u2c7gk2TJ0p7ZpBGe5QmHSEz4szElz+X9WDYXrSobiGiXkx09bMr5LoYI+2SciFDfN4BPTHGGaf7JWWIq6S4UuArhduaORbiajJqVSWSsKiPn0MFjg94+HmPj5FJJW07Q80FL09ftMnkzavnt2I06ihN9ghN9ijZ0T5qM6N48gfJ5DLqxV7JlZD1Sj1milLK38i7tKiqNsl60sQJUnfF9qTzH/tcyQMrMVUh8EoSNSws6/l6gEyho6cZjQunhjwMTHoYmhTGE07lmO11KaIJi3G7ESuvnotP0zTawzTbo0hkgLrMMLWZEfx2clrQU52yFhqCDsUTdTGYTFVWBm9YGlPt4LMFbpFB8KCqLvlPLB4VJ/BKkvVyRZ0ddiQ9HBMGokJ/1MNI1KKjNoqN0J+oJZyZVVtQbQaj0KAR1sYuUJMdpyYzTl1mmPHRiRlfMvMHx1xNe7RbRF1uzOtQHgY4dU8rHY+3sHnG+jhhaqt8AM8UrhX4ahB1ctARdX9U6J3w0BBUND5CX6KWC5NNs/b28uJEK7UapU6HWBcfoy4zSign6sjoGKKXbyDOFPPSJF1NQjJZeFVzODHHgJ7VcgMTXCrw/DZYt7FUWasq0aTFYPcF0lnweWFwUnjyoo+MHZrjKBuoJUaDPUqDNUaLDtKkYyRHh6jJhKdfm6mmjyzOyEVhedl0Ncl6Pgp5jkuR/Gp4zSoBVU3USQsWWbx5KosTZojOhcfZVwmuFLgbWGo1dMtWoikLBUZ6LvDYBR9jCSGRAVudPtUzjk+WeknS6JmkLtFLq/bTaI9TpxOMDl/ZEj0ZtpmcJ45Kapd2K+b1qUxqaCZBmHraAWcAT5YkqtpX5tBKghE4i8t6StSqTje6RNrmyIVJukaSjIbjTKaFtOVkwcplWQtKgBT1njgt3gnWeUcJhM/SYI9Pz1+dPxVqftv0Yv2pF5O2EZJhNXB5QI8j8BSTBGkoc1SlY1ULfC5xDxBKMQAAB5xJREFU27YSjac4e+oFukZSjMeyTCYsEmkbWxUPSsae2b7sF5tmf4bWYJKd9VEC0U6aPVHqJI7kdh3tH5xxnrnmsF6pQTBG3obVQjdHOupZ0zW17LR/r44bmOBSgdtLqDi9VLLZLJMDp7jYN0bXQJjxSJzJeIpEKks267Qvzx57K6IEvNAQUHa12zSFFH+sl7WhOC2BND6P84iJ3lOQYPpVnS1tWJ64l9K2beRtWE2oaneNNE4P6Ikzzjg9t5c7rlLhSoHDlcPl5+qVYts2kckYkUiUaDRONBajrqYGy7YYHhmjf3CEVDpNOpUmkUqRzWSvkDOAR4SAT2io93Htxhra6v0E/R6a63yssS4SmOPzJDUwPmN5ovfUsp7nSlY8NxjcTLF6AwWpJ0WMEPUknAE8x4pzJvfhSoFnMmmeP3aYS5cukUwmSaVSpNNpMpkM9fX1WJZFLBYjnU4XdDyPx0MgEKCxsYlrr72WdevWEQwGaWhoYN26dfh8S38ZahZZBlg/x7oblnwmg6G6+ICs7Fw4tTQTZxwfAbz4UNXMip7AxbhS4GNjY/zkJz+ZXhYRPB4PXq+XYDBIa2urM3w8EqGmpoaamhrq6uqor69n06ZNNDY2EgwGCQQCeDyeBc5kMBgqnX5O3tXClqd9BFdN/+8pSiJwEXk18JfARuD/AO9Q1XnnQlqzZg3vfe97CYVChEIhZIU/sQ0GQ1VxJEkER+Cr5wYmQNHTUxFpAf4R+ACwGae33Z8u9Bi/309LSws1NTVG3gaDYUFUNSV4mGSYSxxeV+54Skkp2hdeCzynqo+o6jjwCeDXS3Beg8GwSqilBYsMqjq76FNVU4omlJuBI3nLLwDrRKReVecbXGgwGAwFU0crtoun4CgWpRB4I3BpakFVUyKSza2fFriIPAg8mFtMicgLJYjtamgHRsodRAFUQpwmxpWjEuK8bqUPeFGfXZVtraUQeJi8XnYiEsidd0ZHalV9GHg4t88hVd1fgtiWTSXECJURp4lx5aiEOEXkULljqBZK0QZ+Crgxb/l6oFNVEyU4t8FgMFQtpRD4I8A9InJPrkfKx4CvluC8BoPBUNUUXeCqOgq8DfgS0A0MAR9f5GEPFzuuFaASYoTKiNPEuHJUQpyVEGNFIFNTpBoMBoOhsjDjzA0Gg6FCcZXARWSHiPxURGIickJE7i13TLMRkQ+ISI+ITOZi3V3umPIRkcdF5EDubxGRT4nIhIj0ici7yh0fXBFjrYh8UUQiIjIgIp8WEf9ixygF+XHOWv9nIvK9csQ0m9kxishbRORi7pp/S0RcMbZ81jVfIyKP5GIczl3z4s0hXcW4SuDA14EfA2uB/wl8pbzhzERE7gTeD9wDtAHPAJ8ra1A5ROTVIvIQcHfe6rcDrwT2AK8G/oeI7C1HfDBvjB8EduPEeCtwB/DuMoQ3zTxxTm3bC/x+6aO6Io4rYhSRW4FPAW/CmbYiAPzX8kQ4HdNcr+VHcboXr8e55vcBby5DeBWPawQuIrfhDEL4U1WNqerfAw+47JPZwqn3MNV/3guMlS+cGdyNE1f+6Na3AH+uqr2qehxnTppfK0dwOeaK8VXAJ1W1R1UHgL/FeUOXk7niJPfN4PO44ybcXDG+HXhIVZ/OTRb3WzidB8rJXHFmcdzjwZkbyU3vo4rCTdPJ7gM6gb8XkdcAF4B3q6prxseq6iER+TYwVc04gZNBlB1V/RCAiLwyb/XsaQxexMnIy8I8Mb4T6Mpb3g+UtSDtPHEC/BHwI+AkcG2p48pnnhj3AT8RkeeADuA7wHvKEN4088T5UeA5Lkv9RzizlBqWiGsycJzs+z7g+8AW4O+AR0QkVNao8hCR+4DXA7cBDcAXcVkzzywagYm85WhunWtQ1RdVNSoidSLyGeA/4DSfuQoRuRHn28tHyhzKQrQDbwQewPmA6cCRpdv4FE7zYzNO89lWytxsVqm4SeAAx1X1K6qaUNXPAX6KMG/CVfA64MuqeiQ3EdcHgf0i0lrmuOZjxjQGQC2zpjBwAyLyCpysdgdwm6peWW26jIiIB/gC8J4KGEH816p6VlXHcET5inIHNAevAz6iqhOqehr4DM49GsMScVMTykUcYQNODwqcDxg3vWHiMKPichanXdxNMeYzNY1BZ255Dy6rF5gr9vE14F2q+k/ljmceGoC9wL/l5qf3Ah4RGVDVuSrnlYuL5L2HcN/7Z4r4rOUMECtHIJWOmzLw7wEbReSdIlKD03Z3icvycQOPAm8RkdtyMX4E+J6Ls7KvAH8gIq25HjRvBr5R5phm82Hg91wsb3KZol9VQ6oaAn4b+KHL5A3OB+G7RWR37lvh+wE3vq7fAT4sIs0ishX4XeCfyxxTReIageeKPfwi8DvAIM7XrDeqi4aKqurjODeyvg4M4LTfvaOsQS3M54GjOB+E3wTep6pu+kAE50br34hINu/nR+UOqkL5IvBXODcFTwDP4pQydBvvx7kfcw54AvhHVf1meUOqTMxQeoPBYKhQXJOBGwwGg2FpGIEbDAZDhWIEbjAYDBWKEbjBYDBUKEbgBoPBUKEYgRsMBkOFYgRuMBgMFYoRuMFgMFQoRuAGg8FQofz/wkhs1A//OTgAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,10))\n", + "levels = numpy.arange(-1,1.1,0.1)\n", + "\n", + "\n", + "ax1 = fig.add_subplot(511)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(ysu_xx_geopot-4, ysu_gg/9.81/1000., \\\n", + " ysu_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "\n", + "ax2 = fig.add_subplot(512)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(temf_xx_geopot-4, temf_gg/9.81/1000., \\\n", + " temf_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('km', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax3 = fig.add_subplot(513)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax3.contourf(acm2_xx_geopot-4, acm2_gg/9.81/1000., \\\n", + " acm2_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax4 = fig.add_subplot(514)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax4.contourf(uw_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " uw_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax4.set_ylim(0,3.25)\n", + "ax4.set_xlim(6,18)\n", + "ax4.set_ylabel('km', fontsize=fontsize)\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax5 = fig.add_subplot(515)\n", + "ax5.tick_params(labelsize=fontsize)\n", + "contour_plot5 = ax5.contourf(mynn30_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " mynn30_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax5.set_ylim(0,3.25)\n", + "ax5.set_xlim(6,18)\n", + "ax5.set_ylabel('km', fontsize=fontsize)\n", + "ax5.set_xticks([i for i in range(6,19,2)])\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax1.text(s='(a) $\\Delta$ temperature (YSU)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ temperature (TEMF)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ temperature (ACM2)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ temperature (UW)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "ax5.text(s='(e) $\\Delta$ temperature (MYNN)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax5.get_position()\n", + "cbar_ax = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.045, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot1, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('$\\degree$C', fontsize=fontsize)\n", + "\n", + "fig.savefig('figures/tk_diffs_PBL_schemes.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:38:28.150474Z", + "start_time": "2018-08-17T19:38:20.800412Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,10))\n", + "levels = numpy.arange(-1,1.1,0.1)\n", + "\n", + "\n", + "ax1 = fig.add_subplot(6,2,1)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(ysu_xx_geopot-4, ysu_gg/9.81/1000., \\\n", + " ysu_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "\n", + "ax2 = fig.add_subplot(6,2,3)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(temf_xx_geopot-4, temf_gg/9.81/1000., \\\n", + " temf_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax3 = fig.add_subplot(6,2,5)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax3.contourf(acm2_xx_geopot-4, acm2_gg/9.81/1000., \\\n", + " acm2_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax4 = fig.add_subplot(6,2,7)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax4.contourf(uw_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " uw_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax4.set_ylim(0,3.25)\n", + "ax4.set_xlim(6,18)\n", + "\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax5 = fig.add_subplot(6,2,9)\n", + "ax5.tick_params(labelsize=fontsize)\n", + "contour_plot5 = ax5.contourf(mynn30_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " mynn30_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax5.set_ylim(0,3.25)\n", + "ax5.set_xlim(6,18)\n", + "\n", + "ax5.set_xticks([i for i in range(6,19,2)])\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax6 = fig.add_subplot(6,2,11)\n", + "ax6.tick_params(labelsize=fontsize)\n", + "contour_plot6 = ax6.contourf(myj_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " myj_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax6.set_ylim(0,3.25)\n", + "ax6.set_xlim(6,18)\n", + "ax6.set_xticks([i for i in range(6,19,2)])\n", + "ax6.plot(uw_xx_geopot[0,:]-4, myj_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax6.plot(uw_xx_geopot[0,:]-4, myj_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax1.text(s='(a) $\\Delta$ temperature (YSU)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ temperature (TEMF)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ temperature (ACM2)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ temperature (UW)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "ax5.text(s='(e) $\\Delta$ temperature (MYNN3)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "ax5.text(s='(f) $\\Delta$ temperature (MYJ)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "ax2.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax4.set_ylabel('km', fontsize=fontsize)\n", + "ax5.set_ylabel('km', fontsize=fontsize)\n", + "#fig.tight_layout(h_pad=2)\n", + "\n", + "#=================================================================\n", + "\n", + "levels = numpy.arange(-0.5,0.51,0.05)\n", + "\n", + "ax12 = fig.add_subplot(6,2,2)\n", + "ax12.tick_params(labelsize=fontsize)\n", + "contour_plot12 = ax12.contourf(ysu_xx_geopot-4, ysu_gg/9.81/1000., \\\n", + " ysu_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "ax12.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax12.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "ax12.set_ylim(0,3.25)\n", + "ax12.set_xlim(6,18)\n", + "ax12.set_xticks([i for i in range(6,19,2)])\n", + "\n", + "\n", + "ax22 = fig.add_subplot(6,2,4)\n", + "ax22.tick_params(labelsize=fontsize)\n", + "contour_plot22 = ax22.contourf(temf_xx_geopot-4, temf_gg/9.81/1000., \\\n", + " temf_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax22.set_ylim(0,3.25)\n", + "ax22.set_xlim(6,18)\n", + "\n", + "ax22.set_xticks([i for i in range(6,19,2)])\n", + "ax22.plot(temf_xx_geopot[0,:]-4, temf_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax22.plot(temf_xx_geopot[0,:]-4, temf_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax32 = fig.add_subplot(6,2,6)\n", + "ax32.tick_params(labelsize=fontsize)\n", + "contour_plot32 = ax32.contourf(acm2_xx_geopot-4, acm2_gg/9.81/1000., \\\n", + " acm2_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax32.set_ylim(0,3.25)\n", + "ax32.set_xlim(6,18)\n", + "\n", + "ax32.set_xticks([i for i in range(6,19,2)])\n", + "ax32.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax32.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax42 = fig.add_subplot(6,2,8)\n", + "ax42.tick_params(labelsize=fontsize)\n", + "contour_plot42 = ax42.contourf(uw_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " uw_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax42.set_ylim(0,3.25)\n", + "ax42.set_xlim(6,18)\n", + "\n", + "ax42.set_xticks([i for i in range(6,19,2)])\n", + "ax42.plot(uw_xx_geopot[0,:]-4, uw_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax42.plot(uw_xx_geopot[0,:]-4, uw_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax52 = fig.add_subplot(6,2,10)\n", + "ax52.tick_params(labelsize=fontsize)\n", + "contour_plot52 = ax52.contourf(mynn30_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " mynn30_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax52.set_ylim(0,3.25)\n", + "ax52.set_xlim(6,18)\n", + "ax52.set_xticks([i for i in range(6,19,2)])\n", + "ax52.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax52.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax62 = fig.add_subplot(6,2,12)\n", + "ax62.tick_params(labelsize=fontsize)\n", + "contour_plot62 = ax62.contourf(myj_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " myj_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax62.set_ylim(0,3.25)\n", + "ax62.set_xlim(6,18)\n", + "ax62.set_xticks([i for i in range(6,19,2)])\n", + "ax62.plot(uw_xx_geopot[0,:]-4, myj_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax62.plot(uw_xx_geopot[0,:]-4, myj_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax6.set_xlabel('hour', fontsize=fontsize)\n", + "ax62.set_xlabel('hour', fontsize=fontsize)\n", + "\n", + "ax12.text(s='(g) $\\Delta$ moisture (YSU)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax12.transAxes)\n", + "ax22.text(s='(h) $\\Delta$ moisture (TEMF)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax22.transAxes)\n", + "ax32.text(s='(i) $\\Delta$ moisture (ACM2)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax32.transAxes)\n", + "ax42.text(s='(j) $\\Delta$ moisture (UW)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax42.transAxes)\n", + "ax52.text(s='(k) $\\Delta$ moisture (MYNN3)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax52.transAxes)\n", + "ax52.text(s='(l) $\\Delta$ moisture (MYJ)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax62.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2, w_pad=8)\n", + "\n", + "ax1pos = ax12.get_position()\n", + "ax2pos = ax62.get_position()\n", + "cbar_ax = fig.add_axes([ax2pos.x1+0.025, ax2pos.y0, 0.025, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot52, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax6.get_position()\n", + "cbar_ax = fig.add_axes([ax2pos.x1+0.025, ax2pos.y0, 0.025, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot1, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('$\\degree$C', fontsize=fontsize)\n", + "\n", + "fig.savefig('figures/tk_AND_qvapor_diffs_PBL_schemes.png', dpi=400, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:38.948341Z", + "start_time": "2018-08-17T19:32:33.709303Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,10))\n", + "levels = numpy.arange(-1,1.1,0.1)\n", + "\n", + "\n", + "ax1 = fig.add_subplot(511)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(ysu_xx_geopot-4, ysu_gg/9.81/1000., \\\n", + " ysu_cldfra_diffs_latlon_mean.T*100., \\\n", + " cmap=cmocean.cm.balance, extend='both', levels=levels)\n", + "\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "\n", + "ax2 = fig.add_subplot(512)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(temf_xx_geopot-4, temf_gg/9.81/1000., \\\n", + " temf_cldfra_diffs_latlon_mean.T*100., \\\n", + " cmap=cmocean.cm.balance, extend='both', levels=levels)\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('km', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax3 = fig.add_subplot(513)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax3.contourf(acm2_xx_geopot-4, acm2_gg/9.81/1000., \\\n", + " acm2_cldfra_diffs_latlon_mean.T*100., \\\n", + " cmap=cmocean.cm.balance, extend='both', levels=levels)\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax4 = fig.add_subplot(514)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax4.contourf(uw_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " uw_cldfra_diffs_latlon_mean.T*100., \\\n", + " cmap=cmocean.cm.balance, extend='both', levels=levels)\n", + "ax4.set_ylim(0,3.25)\n", + "ax4.set_xlim(6,18)\n", + "ax4.set_ylabel('km', fontsize=fontsize)\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax5 = fig.add_subplot(515)\n", + "ax5.tick_params(labelsize=fontsize)\n", + "contour_plot5 = ax5.contourf(mynn30_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " mynn30_cldfra_diffs_latlon_mean.T*100., \\\n", + " cmap=cmocean.cm.balance, extend='both', levels=levels)\n", + "ax5.set_ylim(0,3.25)\n", + "ax5.set_xlim(6,18)\n", + "ax5.set_ylabel('km', fontsize=fontsize)\n", + "ax5.set_xticks([i for i in range(6,19,2)])\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax1.text(s='(a) $\\Delta$ cloud fraction (YSU)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ cloud fraction (TEMF)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ cloud fraction (ACM2)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ cloud fraction (UW)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "ax5.text(s='(e) $\\Delta$ cloud fraction (MYNN)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax5.get_position()\n", + "cbar_ax = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.045, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot1, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('%', fontsize=fontsize)\n", + "\n", + "fig.savefig('figures/cldfra_diffs_PBL_schemes.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/.ipynb_checkpoints/gp1_calculations_for_different_PBL_schemes_10day_precip_panel_plot-checkpoint.ipynb b/.ipynb_checkpoints/gp1_calculations_for_different_PBL_schemes_10day_precip_panel_plot-checkpoint.ipynb new file mode 100644 index 0000000..f2f6d97 --- /dev/null +++ b/.ipynb_checkpoints/gp1_calculations_for_different_PBL_schemes_10day_precip_panel_plot-checkpoint.ipynb @@ -0,0 +1,2482 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import libraries" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:16:11.347621Z", + "start_time": "2018-08-18T01:16:11.327131Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import matplotlib.colors\n", + "import scipy.stats\n", + "import itertools\n", + "import string\n", + "import matplotlib.patches\n", + "import glob\n", + "import matplotlib.gridspec\n", + "import scipy.ndimage\n", + "\n", + "import wrf\n", + "import netCDF4\n", + "import cmocean\n", + "\n", + "import pandas\n", + "\n", + "import matplotlib.ticker\n", + "import cartopy.mpl.gridliner #import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n", + "\n", + "import mpl_toolkits\n", + "import cartopy\n", + "import cartopy.io.shapereader\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:16:11.685947Z", + "start_time": "2018-08-18T01:16:11.679363Z" + } + }, + "outputs": [], + "source": [ + "run_info = 'FMAASO'\n", + "skip_time=0" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# opening mean fields" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## control data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "YSU, ACM2, MYJ, and UW" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:20:05.138935Z", + "start_time": "2018-08-18T01:19:08.698088Z" + } + }, + "outputs": [], + "source": [ + "ysu_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400/001'\n", + "ysu_file_list = sorted(glob.glob(ysu_root_dir+'/'+'wrfout*'))\n", + "ysu_ds_list = [netCDF4.Dataset(file) for file in ysu_file_list]\n", + "\n", + "# ysu_ptot_400 = numpy.load('DATA_ptot_400_sensitivity.npy')\n", + "# ysu_geopot_400 = numpy.load('DATA_geopot_400_sensitivity.npy')\n", + "# ysu_tk_400 = numpy.load('DATA_tk_400_sensitivity.npy')\n", + "\n", + "ysu_cont_mfds = xarray.open_mfdataset(ysu_root_dir + '/' + 'wrfout*')\n", + "\n", + "ysu_time = ysu_cont_mfds['Times'].values\n", + "ysu_xlat = ysu_cont_mfds['XLAT'].values[0,:,:]\n", + "ysu_xlong = ysu_cont_mfds['XLONG'].values[0,:,:]\n", + "ysu_landmask = ysu_cont_mfds['LANDMASK'].values[0,:,:]\n", + "\n", + "# ysu_qvapor_400 = ysu_cont_mfds['QVAPOR'].values\n", + "# ysu_t_400 = ysu_cont_mfds['T'].values\n", + "# ysu_pblh_400 = ysu_cont_mfds['PBLH'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:20:38.089233Z", + "start_time": "2018-08-18T01:20:05.149305Z" + } + }, + "outputs": [], + "source": [ + "ysu_rainc_400 = ysu_cont_mfds['RAINC'].values\n", + "ysu_rainnc_400 = ysu_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:17:18.249169Z", + "start_time": "2018-08-18T01:17:17.021455Z" + } + }, + "outputs": [], + "source": [ + "acm2_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_ACM2_scheme_10days'\n", + "acm2_file_list = sorted(glob.glob(acm2_root_dir+'/'+'wrfout*'))\n", + "acm2_ds_list = [netCDF4.Dataset(file) for file in acm2_file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:17:48.032949Z", + "start_time": "2018-08-18T01:17:38.754022Z" + } + }, + "outputs": [], + "source": [ + "acm2_cont_mfds = xarray.open_mfdataset(acm2_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:18:22.852859Z", + "start_time": "2018-08-18T01:17:48.043210Z" + } + }, + "outputs": [], + "source": [ + "acm2_rainc_400 = acm2_cont_mfds['RAINC'].values\n", + "acm2_rainnc_400 = acm2_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:20:38.266701Z", + "start_time": "2018-08-18T01:20:38.099382Z" + } + }, + "outputs": [], + "source": [ + "myj_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYJ_scheme_10days'\n", + "myj_file_list = sorted(glob.glob(myj_root_dir+'/'+'wrfout*'))\n", + "myj_ds_list = [netCDF4.Dataset(file) for file in myj_file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:20:47.556003Z", + "start_time": "2018-08-18T01:20:38.277004Z" + } + }, + "outputs": [], + "source": [ + "myj_cont_mfds = xarray.open_mfdataset(myj_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:21:37.886543Z", + "start_time": "2018-08-18T01:20:47.566364Z" + } + }, + "outputs": [], + "source": [ + "myj_rainc_400 = myj_cont_mfds['RAINC'].values\n", + "myj_rainnc_400 = myj_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:21:38.796270Z", + "start_time": "2018-08-18T01:21:37.896514Z" + } + }, + "outputs": [], + "source": [ + "uw_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_UW_scheme_10days'\n", + "uw_file_list = sorted(glob.glob(uw_root_dir+'/'+'wrfout*'))\n", + "uw_ds_list = [netCDF4.Dataset(file) for file in uw_file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:21:47.742959Z", + "start_time": "2018-08-18T01:21:38.806328Z" + } + }, + "outputs": [], + "source": [ + "uw_cont_mfds = xarray.open_mfdataset(uw_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:22:17.556486Z", + "start_time": "2018-08-18T01:21:47.753212Z" + } + }, + "outputs": [], + "source": [ + "uw_rainc_400 = uw_cont_mfds['RAINC'].values\n", + "uw_rainnc_400 = uw_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:22:29.529804Z", + "start_time": "2018-08-18T01:22:28.291352Z" + } + }, + "outputs": [], + "source": [ + "mynn30_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYNN30_scheme_10days'\n", + "mynn30_file_list = sorted(glob.glob(mynn30_root_dir+'/'+'wrfout*'))\n", + "mynn30_ds_list = [netCDF4.Dataset(file) for file in mynn30_file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:22:39.319068Z", + "start_time": "2018-08-18T01:22:29.540100Z" + } + }, + "outputs": [], + "source": [ + "mynn30_cont_mfds = xarray.open_mfdataset(mynn30_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:23:14.596231Z", + "start_time": "2018-08-18T01:22:39.329277Z" + } + }, + "outputs": [], + "source": [ + "mynn30_rainc_400 = mynn30_cont_mfds['RAINC'].values\n", + "mynn30_rainnc_400 = mynn30_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:23:15.342342Z", + "start_time": "2018-08-18T01:23:14.606064Z" + } + }, + "outputs": [], + "source": [ + "temf_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_TEMF_scheme_10days'\n", + "temf_file_list = sorted(glob.glob(temf_root_dir+'/'+'wrfout*'))\n", + "temf_ds_list = [netCDF4.Dataset(file) for file in temf_file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:23:24.206935Z", + "start_time": "2018-08-18T01:23:15.352416Z" + } + }, + "outputs": [], + "source": [ + "temf_cont_mfds = xarray.open_mfdataset(temf_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:23:53.908551Z", + "start_time": "2018-08-18T01:23:24.217316Z" + } + }, + "outputs": [], + "source": [ + "temf_rainc_400 = temf_cont_mfds['RAINC'].values\n", + "temf_rainnc_400 = temf_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## phys data" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:24:55.891131Z", + "start_time": "2018-08-18T01:24:46.072448Z" + } + }, + "outputs": [], + "source": [ + "ysu_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000/001/'\n", + "ysu_file_list = sorted(glob.glob(ysu_root_dir+'/'+'wrfout*'))\n", + "ysu_ds_list = [netCDF4.Dataset(file) for file in ysu_file_list]\n", + "ysu_phys_mfds = xarray.open_mfdataset(ysu_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:25:27.091304Z", + "start_time": "2018-08-18T01:24:55.901450Z" + } + }, + "outputs": [], + "source": [ + "ysu_rainc_1000 = ysu_phys_mfds['RAINC'].values\n", + "ysu_rainnc_1000 = ysu_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:25:28.054147Z", + "start_time": "2018-08-18T01:25:27.101186Z" + } + }, + "outputs": [], + "source": [ + "acm2_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_ACM2_scheme_10days'\n", + "acm2_file_list = sorted(glob.glob(acm2_root_dir+'/'+'wrfout*'))\n", + "acm2_ds_list = [netCDF4.Dataset(file) for file in acm2_file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:25:38.212295Z", + "start_time": "2018-08-18T01:25:28.064535Z" + } + }, + "outputs": [], + "source": [ + "acm2_phys_mfds = xarray.open_mfdataset(acm2_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:26:12.714710Z", + "start_time": "2018-08-18T01:25:38.222486Z" + } + }, + "outputs": [], + "source": [ + "acm2_rainc_1000 = acm2_phys_mfds['RAINC'].values\n", + "acm2_rainnc_1000 = acm2_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:26:13.695580Z", + "start_time": "2018-08-18T01:26:12.724722Z" + } + }, + "outputs": [], + "source": [ + "myj_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_MYJ_scheme_10days'\n", + "myj_file_list = sorted(glob.glob(myj_root_dir+'/'+'wrfout*'))\n", + "myj_ds_list = [netCDF4.Dataset(file) for file in myj_file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:26:22.350601Z", + "start_time": "2018-08-18T01:26:13.705741Z" + } + }, + "outputs": [], + "source": [ + "myj_phys_mfds = xarray.open_mfdataset(myj_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:26:53.640609Z", + "start_time": "2018-08-18T01:26:22.360914Z" + } + }, + "outputs": [], + "source": [ + "myj_rainc_1000 = myj_phys_mfds['RAINC'].values\n", + "myj_rainnc_1000 = myj_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:26:54.495621Z", + "start_time": "2018-08-18T01:26:53.650694Z" + } + }, + "outputs": [], + "source": [ + "uw_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_UW_scheme_10days'\n", + "uw_file_list = sorted(glob.glob(uw_root_dir+'/'+'wrfout*'))\n", + "uw_ds_list = [netCDF4.Dataset(file) for file in uw_file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:27:03.796206Z", + "start_time": "2018-08-18T01:26:54.505797Z" + } + }, + "outputs": [], + "source": [ + "uw_phys_mfds = xarray.open_mfdataset(uw_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:27:32.422214Z", + "start_time": "2018-08-18T01:27:03.806159Z" + } + }, + "outputs": [], + "source": [ + "uw_rainc_1000 = uw_phys_mfds['RAINC'].values\n", + "uw_rainnc_1000 = uw_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:27:33.322172Z", + "start_time": "2018-08-18T01:27:32.431981Z" + } + }, + "outputs": [], + "source": [ + "mynn30_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_MYNN30_scheme_10days'\n", + "mynn30_file_list = sorted(glob.glob(mynn30_root_dir+'/'+'wrfout*'))\n", + "mynn30_ds_list = [netCDF4.Dataset(file) for file in mynn30_file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:27:43.568665Z", + "start_time": "2018-08-18T01:27:33.332325Z" + } + }, + "outputs": [], + "source": [ + "mynn30_phys_mfds = xarray.open_mfdataset(mynn30_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:28:18.911637Z", + "start_time": "2018-08-18T01:27:43.579039Z" + } + }, + "outputs": [], + "source": [ + "mynn30_rainc_1000 = mynn30_phys_mfds['RAINC'].values\n", + "mynn30_rainnc_1000 = mynn30_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:28:19.727554Z", + "start_time": "2018-08-18T01:28:18.921758Z" + } + }, + "outputs": [], + "source": [ + "temf_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_TEMF_scheme_10days'\n", + "temf_file_list = sorted(glob.glob(temf_root_dir+'/'+'wrfout*'))\n", + "temf_ds_list = [netCDF4.Dataset(file) for file in temf_file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:28:29.540273Z", + "start_time": "2018-08-18T01:28:19.737604Z" + } + }, + "outputs": [], + "source": [ + "temf_phys_mfds = xarray.open_mfdataset(temf_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:29:01.059834Z", + "start_time": "2018-08-18T01:28:29.550387Z" + } + }, + "outputs": [], + "source": [ + "temf_rainc_1000 = temf_phys_mfds['RAINC'].values\n", + "temf_rainnc_1000 = temf_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## define dx, dy" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:29:01.076693Z", + "start_time": "2018-08-18T01:29:01.070045Z" + } + }, + "outputs": [], + "source": [ + "dx = 50000. # 50,000 m or 50 km\n", + "dy = 50000." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# constants" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:29:01.120407Z", + "start_time": "2018-08-18T01:29:01.086851Z" + } + }, + "outputs": [], + "source": [ + "L_v = 2264705.0 # J/kg\n", + "c_p = 1005.7 # J/kgK\n", + "g = 9.80665 # m/s2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "get lat and lon info" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:46:21.420727Z", + "start_time": "2018-08-18T01:46:20.412801Z" + } + }, + "outputs": [], + "source": [ + "xlong = ysu_cont_mfds['XLONG'].values[0,:,:]\n", + "xlat = ysu_cont_mfds['XLAT'].values[0,:,:]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "calculate precip diffs" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:35:18.335450Z", + "start_time": "2018-08-18T01:35:17.578318Z" + } + }, + "outputs": [], + "source": [ + "acm2_400_raintot = acm2_rainc_400+acm2_rainnc_400\n", + "temf_400_raintot = temf_rainc_400+temf_rainnc_400\n", + "myj_400_raintot = myj_rainc_400+myj_rainnc_400\n", + "uw_400_raintot = uw_rainc_400+uw_rainnc_400\n", + "mynn30_400_raintot = mynn30_rainc_400+mynn30_rainnc_400\n", + "ysu_400_raintot = ysu_rainc_400+ysu_rainnc_400" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:35:19.107045Z", + "start_time": "2018-08-18T01:35:18.345677Z" + } + }, + "outputs": [], + "source": [ + "acm2_1000_raintot = acm2_rainc_1000+acm2_rainnc_1000\n", + "temf_1000_raintot = temf_rainc_1000+temf_rainnc_1000\n", + "myj_1000_raintot = myj_rainc_1000+myj_rainnc_1000\n", + "uw_1000_raintot = uw_rainc_1000+uw_rainnc_1000\n", + "mynn30_1000_raintot = mynn30_rainc_1000+mynn30_rainnc_1000\n", + "ysu_1000_raintot = ysu_rainc_1000+ysu_rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:37:48.969372Z", + "start_time": "2018-08-18T01:37:48.743070Z" + } + }, + "outputs": [], + "source": [ + "ysu_rain_diffs = ysu_1000_raintot-ysu_400_raintot\n", + "ysu_rain_diffs_hourly = numpy.diff(ysu_rain_diffs, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:38:28.186105Z", + "start_time": "2018-08-18T01:38:27.960119Z" + } + }, + "outputs": [], + "source": [ + "acm2_rain_diffs = acm2_1000_raintot-acm2_400_raintot\n", + "acm2_rain_diffs_hourly = numpy.diff(acm2_rain_diffs, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:38:28.186105Z", + "start_time": "2018-08-18T01:38:27.960119Z" + } + }, + "outputs": [], + "source": [ + "uw_rain_diffs = uw_1000_raintot-uw_400_raintot\n", + "uw_rain_diffs_hourly = numpy.diff(uw_rain_diffs, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:38:28.186105Z", + "start_time": "2018-08-18T01:38:27.960119Z" + } + }, + "outputs": [], + "source": [ + "temf_rain_diffs = temf_1000_raintot-temf_400_raintot\n", + "temf_rain_diffs_hourly = numpy.diff(temf_rain_diffs, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:38:28.186105Z", + "start_time": "2018-08-18T01:38:27.960119Z" + } + }, + "outputs": [], + "source": [ + "mynn30_rain_diffs = mynn30_1000_raintot-mynn30_400_raintot\n", + "mynn30_rain_diffs_hourly = numpy.diff(mynn30_rain_diffs, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:38:28.186105Z", + "start_time": "2018-08-18T01:38:27.960119Z" + } + }, + "outputs": [], + "source": [ + "myj_rain_diffs = myj_1000_raintot-myj_400_raintot\n", + "myj_rain_diffs_hourly = numpy.diff(myj_rain_diffs, axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## get landmask" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:53:39.543057Z", + "start_time": "2018-08-18T01:53:39.499057Z" + } + }, + "outputs": [], + "source": [ + "landmask = ysu_cont_mfds['LANDMASK'].sel(Time=0).values" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:53:40.650559Z", + "start_time": "2018-08-18T01:53:40.284621Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 101, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.contourf(landmask);mp.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:53:41.569376Z", + "start_time": "2018-08-18T01:53:41.556820Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(240, 179, 289)" + ] + }, + "execution_count": 102, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "myj_rain_diffs_hourly.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-18T02:22:11.002Z" + } + }, + "outputs": [], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,9))\n", + "lon_offset=25.\n", + "\n", + "field_list = [ysu_rain_diffs_hourly,\\\n", + " acm2_rain_diffs_hourly,\\\n", + " uw_rain_diffs_hourly,\\\n", + " temf_rain_diffs_hourly,\\\n", + " mynn30_rain_diffs_hourly,\\\n", + " myj_rain_diffs_hourly]\n", + "\n", + "levels = numpy.arange(-0.25,0.25,0.05)\n", + "\n", + "PBL_names = ['(a) YSU ($x\\,5$)','(b) ACM2','(c) UW','(d) TEMF','(e) MYNN3','(f) MYJ']\n", + "ax_list = []\n", + "\n", + "for i in range(6):\n", + " \n", + " ax = fig.add_subplot(3,2,i+1, projection=cartopy.crs.PlateCarree())\n", + " \n", + " ax.gridlines(ylocs=[0], color='0.25')\n", + " ax.coastlines(resolution='110m')\n", + " \n", + " field = field_list[i]\n", + " field_mean = numpy.nanmean(field[24:,:,:], axis=0)*24.\n", + " if i==0:\n", + " field_mean = field_mean/5.\n", + " field_mean[landmask==0]=numpy.nan\n", + " \n", + " ax.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xlong, xlat, field_mean, \\\n", + " levels=levels, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', \\\n", + " transform=cartopy.crs.PlateCarree())\n", + "\n", + " ax.set_xticks([-360+280,-360+300,-360+320])\n", + " ax.set_yticks([-20,-10,0,10])\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + " ax.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + " \n", + " ax.text(s=PBL_names[i], x=0, y=1.02, \n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=3, w_pad=-2)\n", + "\n", + "axpos_top = ax_list[1].get_position()\n", + "axpos_bot = ax_list[-1].get_position()\n", + "\n", + "cbar_ax = fig.add_axes([axpos_bot.x1+0.01, axpos_bot.y0, 0.03, axpos_top.y1-axpos_bot.y0])\n", + "cbar = fig.colorbar(contour_plot, cbar_ax, orientation='vertical')\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('mm day$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "fig.savefig('figures/precip_change_PBL_scheme_comparison.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# calculate MSE" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.150045Z", + "start_time": "2018-08-17T19:32:12.557075Z" + } + }, + "outputs": [], + "source": [ + "ysu_mse_400 = ysu_geopot_400 + L_v*ysu_qvapor_400 + c_p*ysu_tk_400\n", + "ysu_mse_1000 = ysu_geopot_1000 + L_v*ysu_qvapor_1000 + c_p*ysu_tk_1000" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "set up time/lev numbers" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.163908Z", + "start_time": "2018-08-17T19:32:13.158476Z" + } + }, + "outputs": [], + "source": [ + "ntime = 25\n", + "nlev = 29" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "calculate lat lon stuff" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.228876Z", + "start_time": "2018-08-17T19:32:13.172248Z" + } + }, + "outputs": [], + "source": [ + "dry_lon_lo, dry_lon_hi, dry_lat_lo, dry_lat_hi = -60,-50,-10,10\n", + "wet_lon_lo, wet_lon_hi, wet_lat_lo, wet_lat_hi = -80,-75,-10,10\n", + "\n", + "dry_lon_lo_degE = 360+dry_lon_lo\n", + "dry_lon_hi_degE = 360+dry_lon_hi\n", + "\n", + "wet_lon_lo_degE = 360+wet_lon_lo\n", + "wet_lon_hi_degE = 360+wet_lon_hi" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.295137Z", + "start_time": "2018-08-17T19:32:13.237641Z" + } + }, + "outputs": [], + "source": [ + "lon_lo = dry_lon_lo\n", + "lon_hi = dry_lon_hi\n", + "lat_lo = dry_lat_lo\n", + "lat_hi = dry_lat_hi\n", + "\n", + "# lon_lo = wet_lon_lo\n", + "# lon_hi = wet_lon_hi\n", + "# lat_lo = wet_lat_lo\n", + "# lat_hi = wet_lat_hi" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.354450Z", + "start_time": "2018-08-17T19:32:13.303865Z" + } + }, + "outputs": [], + "source": [ + "landmask_indices = numpy.copy(landmask)\n", + "landmask_indices[landmask==1]=1\n", + "landmask_indices[landmask!=1]=0\n", + "landmask_indices = numpy.array(landmask_indices, dtype=bool)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.416069Z", + "start_time": "2018-08-17T19:32:13.362816Z" + } + }, + "outputs": [], + "source": [ + "lon_indices = (ysu_xlong>=lon_lo)&(ysu_xlong<=lon_hi)\n", + "lat_indices = (ysu_xlat>=lat_lo)&(ysu_xlat<=lat_hi)\n", + "latlon_indices = (lon_indices)&(lat_indices)&(landmask_indices)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# take latlon means" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "pblh, deltaysu" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.656637Z", + "start_time": "2018-08-17T19:32:13.418865Z" + } + }, + "outputs": [], + "source": [ + "ysu_pblh_400_latlon_mean = numpy.nanmean(ysu_pblh_400[:,latlon_indices], axis=1)\n", + "ysu_pblh_1000_latlon_mean = numpy.nanmean(ysu_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "ysu_qvapor_400_latlon_mean = numpy.nanmean(ysu_qvapor_400[:,:,latlon_indices], axis=2)\n", + "ysu_qvapor_1000_latlon_mean = numpy.nanmean(ysu_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "ysu_tk_400_latlon_mean = numpy.nanmean(ysu_tk_400[:,:,latlon_indices], axis=2)\n", + "ysu_tk_1000_latlon_mean = numpy.nanmean(ysu_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "ysu_cldfra_400_latlon_mean = numpy.nanmean(ysu_cldfra_400[:,:,latlon_indices], axis=2)\n", + "ysu_cldfra_1000_latlon_mean = numpy.nanmean(ysu_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:02.575358Z", + "start_time": "2018-08-17T19:45:02.559639Z" + } + }, + "outputs": [], + "source": [ + "ysu_raintot_400 = ysu_rainc_400 + ysu_rainnc_400\n", + "ysu_raintot_1000 = ysu_rainc_1000 + ysu_rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.723894Z", + "start_time": "2018-08-17T19:32:13.665094Z" + } + }, + "outputs": [], + "source": [ + "myj_pblh_400_latlon_mean = numpy.nanmean(myj_pblh_400[:,latlon_indices], axis=1)\n", + "myj_pblh_1000_latlon_mean = numpy.nanmean(myj_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "myj_qvapor_400_latlon_mean = numpy.nanmean(myj_qvapor_400[:,:,latlon_indices], axis=2)\n", + "myj_qvapor_1000_latlon_mean = numpy.nanmean(myj_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "myj_tk_400_latlon_mean = numpy.nanmean(myj_tk_400[:,:,latlon_indices], axis=2)\n", + "myj_tk_1000_latlon_mean = numpy.nanmean(myj_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "myj_cldfra_400_latlon_mean = numpy.nanmean(myj_cldfra_400[:,:,latlon_indices], axis=2)\n", + "myj_cldfra_1000_latlon_mean = numpy.nanmean(myj_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:10.068178Z", + "start_time": "2018-08-17T19:45:10.049592Z" + } + }, + "outputs": [], + "source": [ + "myj_raintot_400 = myj_rainc_400 + myj_rainnc_400\n", + "myj_raintot_1000 = myj_rainc_1000 + myj_rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.809174Z", + "start_time": "2018-08-17T19:32:13.732447Z" + } + }, + "outputs": [], + "source": [ + "acm2_pblh_400_latlon_mean = numpy.nanmean(acm2_pblh_400[:,latlon_indices], axis=1)\n", + "acm2_pblh_1000_latlon_mean = numpy.nanmean(acm2_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "acm2_qvapor_400_latlon_mean = numpy.nanmean(acm2_qvapor_400[:,:,latlon_indices], axis=2)\n", + "acm2_qvapor_1000_latlon_mean = numpy.nanmean(acm2_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "acm2_tk_400_latlon_mean = numpy.nanmean(acm2_tk_400[:,:,latlon_indices], axis=2)\n", + "acm2_tk_1000_latlon_mean = numpy.nanmean(acm2_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "acm2_cldfra_400_latlon_mean = numpy.nanmean(acm2_cldfra_400[:,:,latlon_indices], axis=2)\n", + "acm2_cldfra_1000_latlon_mean = numpy.nanmean(acm2_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:16.662517Z", + "start_time": "2018-08-17T19:45:16.644812Z" + } + }, + "outputs": [], + "source": [ + "acm2_raintot_400 = acm2_rainc_400 + acm2_rainnc_400\n", + "acm2_raintot_1000 = acm2_rainc_1000 + acm2_rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.892024Z", + "start_time": "2018-08-17T19:32:13.817970Z" + } + }, + "outputs": [], + "source": [ + "uw_pblh_400_latlon_mean = numpy.nanmean(uw_pblh_400[:,latlon_indices], axis=1)\n", + "uw_pblh_1000_latlon_mean = numpy.nanmean(uw_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "uw_qvapor_400_latlon_mean = numpy.nanmean(uw_qvapor_400[:,:,latlon_indices], axis=2)\n", + "uw_qvapor_1000_latlon_mean = numpy.nanmean(uw_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "uw_tk_400_latlon_mean = numpy.nanmean(uw_tk_400[:,:,latlon_indices], axis=2)\n", + "uw_tk_1000_latlon_mean = numpy.nanmean(uw_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "uw_cldfra_400_latlon_mean = numpy.nanmean(uw_cldfra_400[:,:,latlon_indices], axis=2)\n", + "uw_cldfra_1000_latlon_mean = numpy.nanmean(uw_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:23.419095Z", + "start_time": "2018-08-17T19:45:23.400626Z" + } + }, + "outputs": [], + "source": [ + "uw_raintot_400 = uw_rainc_400 + uw_rainnc_400\n", + "uw_raintot_1000 = uw_rainc_1000 + uw_rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.968030Z", + "start_time": "2018-08-17T19:32:13.900619Z" + } + }, + "outputs": [], + "source": [ + "mynn25_pblh_400_latlon_mean = numpy.nanmean(mynn25_pblh_400[:,latlon_indices], axis=1)\n", + "mynn25_pblh_1000_latlon_mean = numpy.nanmean(mynn25_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "mynn25_qvapor_400_latlon_mean = numpy.nanmean(mynn25_qvapor_400[:,:,latlon_indices], axis=2)\n", + "mynn25_qvapor_1000_latlon_mean = numpy.nanmean(mynn25_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "mynn25_tk_400_latlon_mean = numpy.nanmean(mynn25_tk_400[:,:,latlon_indices], axis=2)\n", + "mynn25_tk_1000_latlon_mean = numpy.nanmean(mynn25_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "mynn25_cldfra_400_latlon_mean = numpy.nanmean(mynn25_cldfra_400[:,:,latlon_indices], axis=2)\n", + "mynn25_cldfra_1000_latlon_mean = numpy.nanmean(mynn25_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:30.759565Z", + "start_time": "2018-08-17T19:45:30.742249Z" + } + }, + "outputs": [], + "source": [ + "mynn25_raintot_400 = mynn25_rainc_400 + mynn25_rainnc_400\n", + "mynn25_raintot_1000 = mynn25_rainc_1000 + mynn25_rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.043458Z", + "start_time": "2018-08-17T19:32:13.976670Z" + } + }, + "outputs": [], + "source": [ + "mynn30_pblh_400_latlon_mean = numpy.nanmean(mynn30_pblh_400[:,latlon_indices], axis=1)\n", + "mynn30_pblh_1000_latlon_mean = numpy.nanmean(mynn30_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "mynn30_qvapor_400_latlon_mean = numpy.nanmean(mynn30_qvapor_400[:,:,latlon_indices], axis=2)\n", + "mynn30_qvapor_1000_latlon_mean = numpy.nanmean(mynn30_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "mynn30_tk_400_latlon_mean = numpy.nanmean(mynn30_tk_400[:,:,latlon_indices], axis=2)\n", + "mynn30_tk_1000_latlon_mean = numpy.nanmean(mynn30_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "mynn30_cldfra_400_latlon_mean = numpy.nanmean(mynn30_cldfra_400[:,:,latlon_indices], axis=2)\n", + "mynn30_cldfra_1000_latlon_mean = numpy.nanmean(mynn30_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:39.318839Z", + "start_time": "2018-08-17T19:45:39.301336Z" + } + }, + "outputs": [], + "source": [ + "mynn30_raintot_400 = mynn30_rainc_400 + mynn30_rainnc_400\n", + "mynn30_raintot_1000 = mynn30_rainc_1000 + mynn30_rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.160572Z", + "start_time": "2018-08-17T19:32:14.051881Z" + } + }, + "outputs": [], + "source": [ + "temf_pblh_400_latlon_mean = numpy.nanmean(temf_pblh_400[:,latlon_indices], axis=1)\n", + "temf_pblh_1000_latlon_mean = numpy.nanmean(temf_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "temf_qvapor_400_latlon_mean = numpy.nanmean(temf_qvapor_400[:,:,latlon_indices], axis=2)\n", + "temf_qvapor_1000_latlon_mean = numpy.nanmean(temf_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "temf_tk_400_latlon_mean = numpy.nanmean(temf_tk_400[:,:,latlon_indices], axis=2)\n", + "temf_tk_1000_latlon_mean = numpy.nanmean(temf_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "temf_cldfra_400_latlon_mean = numpy.nanmean(temf_cldfra_400[:,:,latlon_indices], axis=2)\n", + "temf_cldfra_1000_latlon_mean = numpy.nanmean(temf_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:54.768328Z", + "start_time": "2018-08-17T19:45:54.750137Z" + } + }, + "outputs": [], + "source": [ + "temf_raintot_400 = temf_rainc_400 + temf_rainnc_400\n", + "temf_raintot_1000 = temf_rainc_1000 + temf_rainnc_1000" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "raintot time means" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:12:05.022120Z", + "start_time": "2018-08-18T01:12:04.992288Z" + } + }, + "outputs": [], + "source": [ + "ysu_raintot_400_hourly = numpy.diff(ysu_raintot_400, axis=0)\n", + "ysu_raintot_1000_hourly = numpy.diff(ysu_raintot_1000, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:12:17.845578Z", + "start_time": "2018-08-18T01:12:17.822531Z" + } + }, + "outputs": [], + "source": [ + "ysu_raintot_hourly_diffs = ysu_raintot_1000_hourly-ysu_raintot_400_hourly" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:12:36.010558Z", + "start_time": "2018-08-18T01:12:35.971496Z" + } + }, + "outputs": [], + "source": [ + "ysu_raintot_hourly_diffs_timemean = numpy.nanmean(ysu_raintot_hourly_diffs, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:14:07.775354Z", + "start_time": "2018-08-18T01:14:07.360424Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 123, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.contourf(ysu_raintot_hourly_diffs_timemean*24., cmap=cmocean.cm.balance);mp.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:51:11.490456Z", + "start_time": "2018-08-17T19:51:11.482363Z" + } + }, + "outputs": [], + "source": [ + "ysu_raintot_diffs = ysu_raintot_1000[-1,:,:]-ysu_raintot_400[-1,:,:]" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:51:52.464217Z", + "start_time": "2018-08-17T19:51:51.982637Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 108, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.pcolormesh(ysu_raintot_diffs, vmin=-.001,vmax=.001);mp.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:49:24.865741Z", + "start_time": "2018-08-17T19:49:24.835180Z" + } + }, + "outputs": [], + "source": [ + "ysu_raintot_400_time_mean = numpy.nanmean(ysu_raintot_400, axis=0)\n", + "ysu_raintot_1000_time_mean = numpy.nanmean(ysu_raintot_1000, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:49:45.603914Z", + "start_time": "2018-08-17T19:49:45.141989Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 100, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.pcolormesh((ysu_raintot_1000_time_mean-ysu_raintot_400_time_mean), vmin=-.01,vmax=.01)\n", + "mp.colorbar()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# calculate diffs" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.296274Z", + "start_time": "2018-08-17T19:32:14.169083Z" + } + }, + "outputs": [], + "source": [ + "ysu_tk_diffs_latlon_mean = ysu_tk_1000_latlon_mean - ysu_tk_400_latlon_mean\n", + "ysu_qvapor_diffs_latlon_mean = ysu_qvapor_1000_latlon_mean - ysu_qvapor_400_latlon_mean\n", + "ysu_cldfra_diffs_latlon_mean = ysu_cldfra_1000_latlon_mean - ysu_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "ysu" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.390167Z", + "start_time": "2018-08-17T19:32:14.304915Z" + } + }, + "outputs": [], + "source": [ + "myj_tk_diffs_latlon_mean = myj_tk_1000_latlon_mean - myj_tk_400_latlon_mean\n", + "myj_qvapor_diffs_latlon_mean = myj_qvapor_1000_latlon_mean - myj_qvapor_400_latlon_mean\n", + "myj_cldfra_diffs_latlon_mean = myj_cldfra_1000_latlon_mean - myj_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.489734Z", + "start_time": "2018-08-17T19:32:14.399081Z" + } + }, + "outputs": [], + "source": [ + "acm2_tk_diffs_latlon_mean = acm2_tk_1000_latlon_mean - acm2_tk_400_latlon_mean\n", + "acm2_qvapor_diffs_latlon_mean = acm2_qvapor_1000_latlon_mean - acm2_qvapor_400_latlon_mean\n", + "acm2_cldfra_diffs_latlon_mean = acm2_cldfra_1000_latlon_mean - acm2_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.589877Z", + "start_time": "2018-08-17T19:32:14.498530Z" + } + }, + "outputs": [], + "source": [ + "uw_tk_diffs_latlon_mean = uw_tk_1000_latlon_mean - uw_tk_400_latlon_mean\n", + "uw_qvapor_diffs_latlon_mean = uw_qvapor_1000_latlon_mean - uw_qvapor_400_latlon_mean\n", + "uw_cldfra_diffs_latlon_mean = uw_cldfra_1000_latlon_mean - uw_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.689750Z", + "start_time": "2018-08-17T19:32:14.595221Z" + } + }, + "outputs": [], + "source": [ + "mynn25_tk_diffs_latlon_mean = mynn25_tk_1000_latlon_mean - mynn25_tk_400_latlon_mean\n", + "mynn25_qvapor_diffs_latlon_mean = mynn25_qvapor_1000_latlon_mean - mynn25_qvapor_400_latlon_mean\n", + "mynn25_cldfra_diffs_latlon_mean = mynn25_cldfra_1000_latlon_mean - mynn25_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.795825Z", + "start_time": "2018-08-17T19:32:14.692617Z" + } + }, + "outputs": [], + "source": [ + "mynn30_tk_diffs_latlon_mean = mynn30_tk_1000_latlon_mean - mynn30_tk_400_latlon_mean\n", + "mynn30_qvapor_diffs_latlon_mean = mynn30_qvapor_1000_latlon_mean - mynn30_qvapor_400_latlon_mean\n", + "mynn30_cldfra_diffs_latlon_mean = mynn30_cldfra_1000_latlon_mean - mynn30_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:15.004530Z", + "start_time": "2018-08-17T19:32:14.798242Z" + } + }, + "outputs": [], + "source": [ + "temf_tk_diffs_latlon_mean = temf_tk_1000_latlon_mean - temf_tk_400_latlon_mean\n", + "temf_qvapor_diffs_latlon_mean = temf_qvapor_1000_latlon_mean - temf_qvapor_400_latlon_mean\n", + "temf_cldfra_diffs_latlon_mean = temf_cldfra_1000_latlon_mean - temf_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plots" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:15.198223Z", + "start_time": "2018-08-17T19:32:15.007022Z" + } + }, + "outputs": [], + "source": [ + "ysu_ptot_400_latlon_time_mean = numpy.nanmean(ysu_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "ysu_geopot_400_latlon_time_mean = numpy.nanmean(ysu_geopot_400[:,:,latlon_indices], axis=(0,2))\n", + "\n", + "myj_ptot_400_latlon_time_mean = numpy.nanmean(myj_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "myj_geopot_400_latlon_time_mean = numpy.nanmean(myj_geopot_400[:,:,latlon_indices], axis=(0,2))\n", + "\n", + "acm2_ptot_400_latlon_time_mean = numpy.nanmean(acm2_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "acm2_geopot_400_latlon_time_mean = numpy.nanmean(acm2_geopot_400[:,:,latlon_indices], axis=(0,2))\n", + "\n", + "uw_ptot_400_latlon_time_mean = numpy.nanmean(uw_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "uw_geopot_400_latlon_time_mean = numpy.nanmean(uw_geopot_400[:,:,latlon_indices], axis=(0,2))\n", + "\n", + "mynn25_ptot_400_latlon_time_mean = numpy.nanmean(mynn25_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "mynn25_geopot_400_latlon_time_mean = numpy.nanmean(mynn25_geopot_400[:,:,latlon_indices], axis=(0,2))\n", + "\n", + "mynn30_ptot_400_latlon_time_mean = numpy.nanmean(mynn30_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "mynn30_geopot_400_latlon_time_mean = numpy.nanmean(mynn30_geopot_400[:,:,latlon_indices], axis=(0,2))\n", + "\n", + "temf_ptot_400_latlon_time_mean = numpy.nanmean(temf_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "temf_geopot_400_latlon_time_mean = numpy.nanmean(temf_geopot_400[:,:,latlon_indices], axis=(0,2))" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:15.221854Z", + "start_time": "2018-08-17T19:32:15.206843Z" + } + }, + "outputs": [], + "source": [ + "ysu_xx, ysu_pp = numpy.meshgrid(numpy.arange(ntime), ysu_ptot_400_latlon_time_mean)\n", + "ysu_xx_geopot, ysu_gg = numpy.meshgrid(numpy.arange(ntime), ysu_geopot_400_latlon_time_mean)\n", + "\n", + "myj_xx, myj_pp = numpy.meshgrid(numpy.arange(ntime), myj_ptot_400_latlon_time_mean)\n", + "myj_xx_geopot, myj_gg = numpy.meshgrid(numpy.arange(ntime), myj_geopot_400_latlon_time_mean)\n", + "\n", + "acm2_xx, acm2_pp = numpy.meshgrid(numpy.arange(ntime), acm2_ptot_400_latlon_time_mean)\n", + "acm2_xx_geopot, acm2_gg = numpy.meshgrid(numpy.arange(ntime), acm2_geopot_400_latlon_time_mean)\n", + "\n", + "uw_xx, uw_pp = numpy.meshgrid(numpy.arange(ntime), uw_ptot_400_latlon_time_mean)\n", + "uw_xx_geopot, uw_gg = numpy.meshgrid(numpy.arange(ntime), uw_geopot_400_latlon_time_mean)\n", + "\n", + "mynn25_xx, mynn25_pp = numpy.meshgrid(numpy.arange(ntime), mynn25_ptot_400_latlon_time_mean)\n", + "mynn25_xx_geopot, mynn25_gg = numpy.meshgrid(numpy.arange(ntime), mynn25_geopot_400_latlon_time_mean)\n", + "\n", + "mynn30_xx, mynn30_pp = numpy.meshgrid(numpy.arange(ntime), mynn30_ptot_400_latlon_time_mean)\n", + "mynn30_xx_geopot, mynn30_gg = numpy.meshgrid(numpy.arange(ntime), mynn30_geopot_400_latlon_time_mean)\n", + "\n", + "temf_xx, temf_pp = numpy.meshgrid(numpy.arange(ntime), temf_ptot_400_latlon_time_mean)\n", + "temf_xx_geopot, temf_gg = numpy.meshgrid(numpy.arange(ntime), temf_geopot_400_latlon_time_mean)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "for qvapor" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:20.970002Z", + "start_time": "2018-08-17T19:32:15.230320Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,10))\n", + "levels = numpy.arange(-0.5,0.51,0.05)\n", + "\n", + "\n", + "ax1 = fig.add_subplot(511)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(ysu_xx_geopot-4, ysu_gg/9.81/1000., \\\n", + " ysu_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "\n", + "ax2 = fig.add_subplot(512)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(temf_xx_geopot-4, temf_gg/9.81/1000., \\\n", + " temf_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('km', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax3 = fig.add_subplot(513)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax3.contourf(acm2_xx_geopot-4, acm2_gg/9.81/1000., \\\n", + " acm2_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax4 = fig.add_subplot(514)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax4.contourf(uw_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " uw_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax4.set_ylim(0,3.25)\n", + "ax4.set_xlim(6,18)\n", + "ax4.set_ylabel('km', fontsize=fontsize)\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax5 = fig.add_subplot(515)\n", + "ax5.tick_params(labelsize=fontsize)\n", + "contour_plot5 = ax5.contourf(mynn30_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " mynn30_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax5.set_ylim(0,3.25)\n", + "ax5.set_xlim(6,18)\n", + "ax5.set_ylabel('km', fontsize=fontsize)\n", + "ax5.set_xticks([i for i in range(6,19,2)])\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax1.text(s='(a) $\\Delta$ moisture (YSU)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ moisture (TEMF)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ moisture (ACM2)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ moisture (UW)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "ax5.text(s='(e) $\\Delta$ moisture (MYNN)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax5.get_position()\n", + "cbar_ax = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.045, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot1, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "fig.savefig('figures/qvapor_diffs_PBL_schemes.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:26.552419Z", + "start_time": "2018-08-17T19:32:20.979579Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,10))\n", + "levels = numpy.arange(-1,1.1,0.1)\n", + "\n", + "\n", + "ax1 = fig.add_subplot(511)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(ysu_xx_geopot-4, ysu_gg/9.81/1000., \\\n", + " ysu_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "\n", + "ax2 = fig.add_subplot(512)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(temf_xx_geopot-4, temf_gg/9.81/1000., \\\n", + " temf_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('km', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax3 = fig.add_subplot(513)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax3.contourf(acm2_xx_geopot-4, acm2_gg/9.81/1000., \\\n", + " acm2_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax4 = fig.add_subplot(514)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax4.contourf(uw_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " uw_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax4.set_ylim(0,3.25)\n", + "ax4.set_xlim(6,18)\n", + "ax4.set_ylabel('km', fontsize=fontsize)\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax5 = fig.add_subplot(515)\n", + "ax5.tick_params(labelsize=fontsize)\n", + "contour_plot5 = ax5.contourf(mynn30_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " mynn30_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax5.set_ylim(0,3.25)\n", + "ax5.set_xlim(6,18)\n", + "ax5.set_ylabel('km', fontsize=fontsize)\n", + "ax5.set_xticks([i for i in range(6,19,2)])\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax1.text(s='(a) $\\Delta$ temperature (YSU)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ temperature (TEMF)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ temperature (ACM2)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ temperature (UW)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "ax5.text(s='(e) $\\Delta$ temperature (MYNN)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax5.get_position()\n", + "cbar_ax = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.045, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot1, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('$\\degree$C', fontsize=fontsize)\n", + "\n", + "fig.savefig('figures/tk_diffs_PBL_schemes.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:38:28.150474Z", + "start_time": "2018-08-17T19:38:20.800412Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,10))\n", + "levels = numpy.arange(-1,1.1,0.1)\n", + "\n", + "\n", + "ax1 = fig.add_subplot(6,2,1)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(ysu_xx_geopot-4, ysu_gg/9.81/1000., \\\n", + " ysu_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "\n", + "ax2 = fig.add_subplot(6,2,3)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(temf_xx_geopot-4, temf_gg/9.81/1000., \\\n", + " temf_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax3 = fig.add_subplot(6,2,5)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax3.contourf(acm2_xx_geopot-4, acm2_gg/9.81/1000., \\\n", + " acm2_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax4 = fig.add_subplot(6,2,7)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax4.contourf(uw_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " uw_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax4.set_ylim(0,3.25)\n", + "ax4.set_xlim(6,18)\n", + "\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax5 = fig.add_subplot(6,2,9)\n", + "ax5.tick_params(labelsize=fontsize)\n", + "contour_plot5 = ax5.contourf(mynn30_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " mynn30_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax5.set_ylim(0,3.25)\n", + "ax5.set_xlim(6,18)\n", + "\n", + "ax5.set_xticks([i for i in range(6,19,2)])\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax6 = fig.add_subplot(6,2,11)\n", + "ax6.tick_params(labelsize=fontsize)\n", + "contour_plot6 = ax6.contourf(myj_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " myj_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax6.set_ylim(0,3.25)\n", + "ax6.set_xlim(6,18)\n", + "ax6.set_xticks([i for i in range(6,19,2)])\n", + "ax6.plot(uw_xx_geopot[0,:]-4, myj_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax6.plot(uw_xx_geopot[0,:]-4, myj_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax1.text(s='(a) $\\Delta$ temperature (YSU)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ temperature (TEMF)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ temperature (ACM2)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ temperature (UW)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "ax5.text(s='(e) $\\Delta$ temperature (MYNN3)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "ax5.text(s='(f) $\\Delta$ temperature (MYJ)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "ax2.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax4.set_ylabel('km', fontsize=fontsize)\n", + "ax5.set_ylabel('km', fontsize=fontsize)\n", + "#fig.tight_layout(h_pad=2)\n", + "\n", + "#=================================================================\n", + "\n", + "levels = numpy.arange(-0.5,0.51,0.05)\n", + "\n", + "ax12 = fig.add_subplot(6,2,2)\n", + "ax12.tick_params(labelsize=fontsize)\n", + "contour_plot12 = ax12.contourf(ysu_xx_geopot-4, ysu_gg/9.81/1000., \\\n", + " ysu_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "ax12.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax12.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "ax12.set_ylim(0,3.25)\n", + "ax12.set_xlim(6,18)\n", + "ax12.set_xticks([i for i in range(6,19,2)])\n", + "\n", + "\n", + "ax22 = fig.add_subplot(6,2,4)\n", + "ax22.tick_params(labelsize=fontsize)\n", + "contour_plot22 = ax22.contourf(temf_xx_geopot-4, temf_gg/9.81/1000., \\\n", + " temf_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax22.set_ylim(0,3.25)\n", + "ax22.set_xlim(6,18)\n", + "\n", + "ax22.set_xticks([i for i in range(6,19,2)])\n", + "ax22.plot(temf_xx_geopot[0,:]-4, temf_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax22.plot(temf_xx_geopot[0,:]-4, temf_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax32 = fig.add_subplot(6,2,6)\n", + "ax32.tick_params(labelsize=fontsize)\n", + "contour_plot32 = ax32.contourf(acm2_xx_geopot-4, acm2_gg/9.81/1000., \\\n", + " acm2_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax32.set_ylim(0,3.25)\n", + "ax32.set_xlim(6,18)\n", + "\n", + "ax32.set_xticks([i for i in range(6,19,2)])\n", + "ax32.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax32.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax42 = fig.add_subplot(6,2,8)\n", + "ax42.tick_params(labelsize=fontsize)\n", + "contour_plot42 = ax42.contourf(uw_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " uw_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax42.set_ylim(0,3.25)\n", + "ax42.set_xlim(6,18)\n", + "\n", + "ax42.set_xticks([i for i in range(6,19,2)])\n", + "ax42.plot(uw_xx_geopot[0,:]-4, uw_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax42.plot(uw_xx_geopot[0,:]-4, uw_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax52 = fig.add_subplot(6,2,10)\n", + "ax52.tick_params(labelsize=fontsize)\n", + "contour_plot52 = ax52.contourf(mynn30_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " mynn30_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax52.set_ylim(0,3.25)\n", + "ax52.set_xlim(6,18)\n", + "ax52.set_xticks([i for i in range(6,19,2)])\n", + "ax52.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax52.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax62 = fig.add_subplot(6,2,12)\n", + "ax62.tick_params(labelsize=fontsize)\n", + "contour_plot62 = ax62.contourf(myj_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " myj_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax62.set_ylim(0,3.25)\n", + "ax62.set_xlim(6,18)\n", + "ax62.set_xticks([i for i in range(6,19,2)])\n", + "ax62.plot(uw_xx_geopot[0,:]-4, myj_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax62.plot(uw_xx_geopot[0,:]-4, myj_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax6.set_xlabel('hour', fontsize=fontsize)\n", + "ax62.set_xlabel('hour', fontsize=fontsize)\n", + "\n", + "ax12.text(s='(g) $\\Delta$ moisture (YSU)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax12.transAxes)\n", + "ax22.text(s='(h) $\\Delta$ moisture (TEMF)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax22.transAxes)\n", + "ax32.text(s='(i) $\\Delta$ moisture (ACM2)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax32.transAxes)\n", + "ax42.text(s='(j) $\\Delta$ moisture (UW)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax42.transAxes)\n", + "ax52.text(s='(k) $\\Delta$ moisture (MYNN3)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax52.transAxes)\n", + "ax52.text(s='(l) $\\Delta$ moisture (MYJ)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax62.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2, w_pad=8)\n", + "\n", + "ax1pos = ax12.get_position()\n", + "ax2pos = ax62.get_position()\n", + "cbar_ax = fig.add_axes([ax2pos.x1+0.025, ax2pos.y0, 0.025, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot52, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax6.get_position()\n", + "cbar_ax = fig.add_axes([ax2pos.x1+0.025, ax2pos.y0, 0.025, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot1, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('$\\degree$C', fontsize=fontsize)\n", + "\n", + "fig.savefig('figures/tk_AND_qvapor_diffs_PBL_schemes.png', dpi=400, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:38.948341Z", + "start_time": "2018-08-17T19:32:33.709303Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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45CTnqUTd18vg0PB0meioKDLSUqkpL59O0umpKXNeoLyRcjIzWFddxYkzddSUO803ZxsbuXnrFrt4uQwtNnl/CkgA/lRExnG6CArgU9WEpQrOmBthfGKCnr5+crMyERGeO3CQ/sEhCnJy2FCzitLCQpISX/0YTyU6r9dLa8dlLrS20tZxmZ6+fia93ukyqclJ5GRmsqaqksy0VDJS00hMiA9poty5eSP1zRd5/uAhqsvLOH76DDkZGVSVlYYsJrM0Fpu8Pw38ZMayRJxRAo0JO4PDwzRdvERTSwst7R143G4+/J77cbvd3HPrHpISEomOvrY2PDA0RPOlVi5caqOlvZ3JyUlcLhd52VmsXVVFZloaGamppKWmXNWcEi5iY2K4eetmnn7x16yqKCcrPZ19h49SUlAw6/s1kWuxyfu3gUxV/e8ikobT++QjwL8uWWTGvEbHTtfy4uGjAKQkJflr1wXTNeKMtLTpsl6vl7bLnVy41MqFS6309vcDkJSYQE15GSWF+RTk5EZUr43q8jJqzzdw8OXj3L3nZh5/5lkOHX+FPdu3hjo0cwMt9hN5C/C4iGwFdgIHgK2qWrtkkRmzCKpKR1cXp+rOs6aqkrzsLApyc7hpyybKigpJTU6+phljcHjYX7tupaWtnQl/7To/J5s1VRUU5+eTlnLt6yKFiHDrzu385+M/5fyFC6ypquSVM2dZXVl+1T8uE9kWlbxVtUdE7gS+D9QBb1NV75JGZsw8royPc7ahkdN15+nu6yPK4yE/J5u87Cyy0tPJCpjQw+vz0X65kwuXLnHhUis9fU7tOjEhnuryMkoK8inIzQnKRcVgSU9NYdOa1Rw9eYp7b7+VpMQEUpbwBqFIJyL3AP+AM37TEziTxgzOKPNx4E+ANOA/gYdUdTzYsU6ZN3mLSC3OxckpUUAF0CAiwwCqumbpwjPmWqrKdx97gqHhEbIy0rlt106qykquSr5DIyPTteuLbW1MTLzadr17azklBQURXbtejG0b1nGusYlfHz3Oe+97E263+6q7RY3D3xT8HeDDwPPAw8DngU8ElNkN/DfgbqAd+CHwp/5yIbFQzftjQYnCmHlcGR+nrqGR5tY27r19LyLCnm1bSUpMIDsjY7rc6NgYZxsaOVPfSHdvL+DcMl5VWkpJQT6FebnLqna9kCiPh1t2bOOnzz7P8doz5GZl8uKRl3nLnbcTGxMT6vDCyVuBo6r6CICI/DVO7fsTAWXeDnxbVU/5y3wZ59pfeCZvVX0+WIEYE8hpy+7mVN05zjddYNLrJSs9nZHRURLi46koKQacvtfNrW2cOV9PY8slfD4fOZkZ3LRlMyUF+aSnpqzommZZUSFlRYW89MoJ7rn1Fjq7ezh47Dh7d+4IdWjhZAPwcsDzk0COiCQGTNsYDQwHlBGgLEjxzSpyLqGbFaWlrZ1Hn36GKI+H6vIy1lZXXlXL7h8cpPZ8PWfqGxgeGSU2Job1NdWsrqwgIzU1hJGHn1u2b+Pbjz7G6XPnWb+q2n/xsuKq47kC7BKRwwHPH1bVh/2/JwMXplao6hURmfQvn0reTwP/S0S+7l/2e0BI+4pa8jYhN1XLPn3uPClJiWxdv46C3Bxuv2kXlaXF000dk5OT1DdfpPZ8PZfaOxARivPzuGX7NkoLC3CHYb/rcJCUmMD2Dev59dFj3H3LzcRfuMDzB17i/je94Ybdmh8sCeKh3HV9Y5VPuBTggKq+Z44ifcD0VEQiEo2TG3unlqnq4yKyGXgRGAcewWreZqXyer2cqW/gxNk6unv78Hg8bFy9CnAmHlhTVYGqcrm7m9pz9dQ1NjE+MUFyYiI7N22kpqKcxIT4EL+LyLBxdQ1n6hs5cPQYOzdt5NlfH6ThYguV/uanFe4MTrv3lNXAucCxnESkHPixqn7e//zDQB4hZMnbhMxzBw5xpr6BzPQ09u7aQXVZ6XQte+zKFeoamjh9vp7u3l7cbjcVxUWsrqqgICdnRbdjvxZut5vbdm3nx089Td/AIG++Yy8lBQWhDitcPAJ8SURuwWnv/ivg2zPKbAU+JyK3Aak4Q4b8TjCDnMmStwmaiYlJTtado7y4kJSkJDauqaG6rJTCvFxEBFXlYmsbtefraWi+iNfnIys9nVt3bKe6vJSY6OhQv4WIlp+TQ01FOcdrz1BTUY6IMD4xsaJ64MxGVbtF5EPAN4EsnPtZviAiHwT+u6pW4nQN3AucBiaBv1TVX4YqZghi8haRF4A/VtUDwdqnCQ/jExOcOFPHsdO1jF25Aiib164hMy0N0mBwaJja+nrOnG9gcHiYmOho1lRXsbqy/Kqbbczrt3vrZhovtvCrgy+xY9N6nnjmee6783bysrNCHVpIqepjwGMzFn/T/0BVfcBD/kdYWPLk7b9z6R3AnqXelwk/R0+e4ujJ01wZH6c4P49tG9aTl52FqtLS1s6x2jM0X2oFoDAv17mtvbgoLAd9Wg7iYmO5acsmnjtwiN5+58am5w8e4j1vflPEXbxc6YJR897j38/QQgXN8hD4VXxgaJi87Cy2bVhHTmYmk14vtefrOXa6lp6+fuJiY9m2YR2rKytITkwMceQrw5qqSmrP13Pw2CvctGUTz+w/wImzdfNObmzCz5Inb1X9DICI3LXU+zKhNTo2xrHTtZw4W8db7ryDvOwsbt2xDZfLxejYGC8dP8GJs3WMjo2RkZbKnTffRFVpiXXxCzIRYe/OHXz/p0/S0dlFcX4eB48dp7KkhIT4uIU3YMJC2FywFJEHgQcBCvPzQxyNuR7Do6McO1XLybo6Jie9VJaWEBfr3H7dNzDI8dO1nG1oxOvzUVKQz8Y1qynMtR4joZSVkc76mmpeqT3LG/fu4VJ7B40XL7JuVXWoQzOLFDbJ23+308MAm9av1wWKmzDh8/n4/hM/Y2R0jKqyErauW0daSjItbe28cOgwza1tuN1uairL2bi6hrSUlFCHbPx2btzI+aZmjpw4zW+87T6Sk67v5hcTWmGTvE3kGBwapvZ8Pds3rsflcrF35w7SUpJJTEigrqGJp371Aj19/cTHxbJz00bWVlcSFxsb6rDNDNHRUezZtoWfv/AiTS2tbFi9iu7ePlKTk6wpKwJY8jaL1j84yNGTpzlT3wBAaWEB2ZkZ5GZlcvLsOWvPjkCVpSX+i5fHyUhL4ye/eJpdmzeyZd3aUIdmFmDJ2yxobOwKzx04SH3zxenb1resXcvE5CTP7j9wVXv2pjWrKbD27IgxNevOdx99glN1dZQWFvDSKyeoKislKcHmFg9nQUveqloarH2Z109V6R8cIjU5iejoKAaGh9mybi3rV1XT29/PcwcO0tzahsftpqaygo2rV1l7doRKTU5my7q1vPTKCe66+SYutrax76UjvOm2W0MdmpmH1bzNVSa9XuoaGqfvhvzgO9+Ox+PhbXffybmmCzz2y2esPXsZ2rJ+LWcbGzl84iRb1q3l0PFXuHCplZIC6/kVrix5G8AZCOpk3TleqT3L6NgYmelp7Nm+ja7eXmrPN3CusYmJyUky09KsPXsZ8rjd7N2xncd++SyqPjLSUukfHFz4hSZkLHmvcFNzGvb09XHw5eMU5+exblU1wyOjHDtdS2d3Dx6Pm6rS0ukJEaw9e3kqLsinoqSYo6dqee99b7JmsDBnyXuFutzdzbFTtcTHxbFn+1bysrN5495buNjWxi9eeJGJyUkyUlO5dcc2qsvLbES/FWLP9q00X2pl3+Gj3HfHbZxrbCIqKoqyosJQh2ZmsOS9gqgqza2tvHyqlkvtHURFeVi/qprT585zqu4cl7t78LjdVJaWsLa6ipxMq2WvNInx8ezctJF9h49Qf6GZE2fr6Ojq5s6bb2JVeUgnjjEzWPJeQQ4eO86RE6dIiI9jw+pVjI9PcOJsHRMTk6SnpnDL9m2sqrBa9kq3vqaa2voG9h0+wrvufSNP79vP0/v2c2V8nA01q0IdnvGz5L2MXRkf51TdOYry8sjKSKeiuJiR0TG6ent5pfYsbrebypJi1lZXkZuVabVsAzhT0N22azs//NnPOX76DPfdeTs//9U+Xjh0mPHxcbZtWB/qEA2WvJcdn8/HpfYO6hqbqL/QzMTkJIOrhuE81DU4c0CmpaSwZ/tWVpWXERsTE+qQTRjKzcpiTVUlx07X4nG7ecMtN/PcgUNMer2hDs34WfJeZr7/0yfp6uklKspDZnoaV8YnOHn2HG6Xi8rSEtZUVZKXnWW1bLOgW7ZvRVU5fOIkbZc7uWvP7ukhY/sHB0lKSLAJHELIkncEGxgcoq6xkUsdl3nrXXcwMjpGekoK6lN6+vpou9xJWkoye7ZtZVWF1bLN9fF4PNyxexf5Odk8f/AQ33viZ9y9ZzdZ6en84KdPkZ+TzRtuudn6+4eIJe8IM3blCuebLnC2oZH2zi4AkhMT+P5Pn6SzuweAlKQkNq9dQ1lxkfUYMa9bTUU52RkZPPn8Czz69DNs27CerevX8uLhozzxzHO88bZbV/wkxqFgyTsCTExO4vP5iImOpu1yJ88ffIm4mBjiY2MZGRtjYGiYzOhodm7aQFlxEekpKZawzQ2VnprCu+99I7869BKHXzlBQW4ON2/fyv7DR3n0F89w35232Te7ILPkHaamLjyebWikofki5cVFxMXGUn+hGYDRK1fIy85iy7q1lBUX2vyPZslFRXm48+abyM/J5lcHX6Knr59tG9Zx5MQpDr9ykj3bt4Y6xBXFkncYOvDyMWrP1TMyNobL5UJEONvQiMvlojAvl20b1lFaWEh8nA0IZYJvdWUF2RkZPPWrF3jp+AlWV1awY6N1Hww2S94h5vP5uNzdTWd3LzUV5TS3tlLX0MTolSuAM95yaWEBFcVFlBQUEB1tbYsm9DLSUnnXvW/k+YOHqD1fz+DQMHt3befFw0e5actm0lNtXJSlZsk7BIZHRmhsucTF1jYutrYxMTkJwL7DR6bbtleVl1FRUkRhXh4eu5pvwlB0VBR33bybgpwcfnXoMD/82VMA/OjJn/OWu+4gJzMjxBEub5a8g2B8fIKW9nayMtLxer0ceeUkZxoaryqTlJg4XcPOy86y/rMmIogIa6oqycnM4Mnn99E3MEBMdDQ/+fnT3HvHXgpzc0Md4rIVlsnbJ8KIO5Z479jr3tZwcx0ACcXVr+n1I+5YznX2AnCmawCAul6nSaM6zbm6XpOZPF2+KisNn8/H0OVWLra10XTxEp3d3ShOTWV8YgKA+NhYCvNyKcrPoyA3x6acMhEtIy2Nd7/5jTx34BDnGpvweDw8/vSz3Hv7Xopv4IQO8SKUuq7vm2i3LM+KUFgm7ykj7lcvyF1vIp9K2ovZ/lzJua7TuRW4ocMp39LmHK6CVmeQ+p8xyKX8ZKCL6rwhovGSnRVF6ngvFSP1AEx32HO7ScrIIjUrm41VlSQnJ5Pgu3Jd78mYcBYdFcXde/zNKAcPISJcGZ8IdVjLVlgm7+joaIqLX9/4wZlllYsuO7WvO69j++Pj4zQ1NVFXV0ddXR2Dg4NERUUx0ed8WKOioiguLqayspKysjKys7Ot77VZEfaWV7Fq4ya+//3v84t9LzLhiSIvL4+qqqpQh7ashGXyDgeqysjICH19ffT19dHd3c3AwABr165lcHCQZ555hv7+/unyLpeLnJwcVq1aRVlZGXl5edZubVas3NxcHnzwQR5//HGeffZZAHbv3s1dd90V4siWj6AkbxG5B/gHIB94AviIqoZ0gjxVZXh4mK6uLjo6Oujs7KS3t5eKigqGhoY4e/YsPT0917zuyJEjgHOhJjs7m+rqaioqKigsLMTjsf+FxkyJiYnhne98J0VFRTz55JPs37+fvr6+UIe1bCx5thGRNOA7wIeB54GHgc8Dn7ie7fh8PrxeLz6fD1VlbGyMkZERxsfHmZiYYGJiAq/XS2JiIm63m8HBQbq6upicnGR8fJy+vj4GBgbIyMhgdHSU9vZ2RkZGrtlPQ0MDHo+H2NhY0tLSSEpKIiUlhYyMDNLT00lKSiIpKYnk5GSibDwHY+YlIuzYsYPCwkK++c1vcvr06VCHtGwEo6r4VuCoqj4CICJ/jVP7njN5d3R08MUvfpGxsdff22SmwcFBUlNTyc7OxufzkZpyOfDTAAAgAElEQVSaSkZGBtnZ2dPJOTY21tqnjbmB8vPz+cQnPsF//Md/hDqUZSMYyXsD8HLA85NAjogkqurQbC+IiYmhoqKCrq4uXC4Xbrd7+mdubi5JSUmMj4/T09OD2+3G4/FMP7KysoiPj2diYoLR0VHcbjcxMTFkZ2eTmppqSdmYEImNjeWjH/0oDzzwQKhDWRaCkbyTgQtTT1T1iohM+pdPJ28ReRB40P/0yrvf/e6TQYjt9cgEukIdxCJEQpwW440TCXHaRJg3QDCSdx8QN/VERKL9++0NLKSqD+O0hyMih1V1WxBie80iIUaIjDgtxhsnEuIUkcOhjmE5CEZftjPAuoDnq4FzqjoahH0bY8yyFIzk/Qhwi4jc4u958lfAt4OwX2OMWbaWPHmrajfwIeCbwEXgMvCFBV728FLHdQNEQowQGXFajDdOJMQZCTGGPVHVUMdgjDELEpHS9VFJjb+VcH1DZxwZ7+fbI61/qKp/v0ShhYTdv22MMREorJK3iJSLyHMiMiwip0XktlDHNJOI/LGItIjIkD/WmlDHFEhEXhCRXf7fRUT+XkT6RaRVRD4W6vjgmhjjReTfRGRARNpF5MsiEha3rgbGOWP5X4rIk6GIaaaZMYrIB0SkyX/OfywiqaGMb8qMc54lIo/4Y+z0n3ObceQ6hVXyBr4HPANkA18EvhXacK4mIjuBPwBuATKAg8A/hjQoPxG5R0S+BuwJWPxh4C5gDXAP8D9EZHMo4oM5Y/wUUIMT4yZgB/DxEIQ3bY44p9ZtBv4w+FFdE8c1MYrIJuDvgfcBhUA08CehiXA6ptmO5edwuhDn4pzzO4H3hyC8iBY2yVtEtuDcYPB5VR1W1W8A7wmz/8heQHm1f7wbuHb0qtDYgxNX4F2rHwD+RlUvqeoJnDFm3huK4Pxmi/Fu4Euq2qKq7cA/c32j8y6F2eLE/43g64THBbfZYvww8DVV/bV/4Lf/D6ejQCjNFuckTu5x4Qx5H05/RxEjnIbB2wqcA74hIvcCjcDHVdUb2rBepaqHReRRYGqmh1GcmkPIqepnAEQkcMzNmUMTnMKpiYfEHDF+FGgOeL4NaA1mXDPNESfAnwG/BGqB1zY10w0yR4xbgWdF5ChQDDwGPBSC8KbNEefngKO8mtB/iTPekbkOYVPzxql13wk8BRQB/wo8IiKx874qiETkTuAdwBYgCfg3wqxpZ4ZkoD/g+aB/WdhQ1VOqOigiCSLyFeCdOE1mYUVE1uF8a/lsiEOZTybwLuA9OP9cinESZbj5e5wmx1ScJrMSQtxUFonCKXkDnFDVb6nqqKr+IxBFeI2D8Hbg31X1Zf+gWp8CtolIeojjmstVQxMA8cwYliAciMgdOLXZcmCLqjYu8JKgEhEX8C/AQxFwZ/A/qep5Ve3BSZJ3hDqgWbwd+Kyq9qvqWeArONdkzHUIp2aTJpxkDTg9JXD+uYTTH8sITvvclEmcdvBwijHQ1NAE5/zP1wDHQxfOtfwTdXwX+Jiq/meo45lDErAZ+Jl/VEo34BKRdlUNp+nRmwj4GyL8/n6mzBxIfwIYDkUgkSycat5PAvki8lERicNpq7vAq4knHDwOfEBEtvhj/CzwZBjXxr4F/JGIpPt7yrwf+H6IY5rpz4FPhnHixl9DjFLVWFWNBR4AfhFmiRucf4IfF5Ea/7fBPwDC8bg+Bvy5iKSKSAnwO8APQxxTxAmb5K2qvcAbgN8GOnC+Wr1Lw+gWUFV9Aeei1feAdpz2uo+ENKj5fR04hvNP8AfAJ1Q1nP4ZgnNR9f+KyGTA45ehDipC/Rvwf3AuAJ4GXsKZfjDc/AHO9Zd6YB/wHVX9QWhDijx2e7wxJiLY7fFXC5uatzHGmMWz5G2MMRHIkrcxxkQgS97GGBOBLHkbY0wECqebdIwxZl5xMT4Ksyeu6zWNA95rbwtaBqzmbYwxEciStzHGRCBL3sYYE4EseRtjTAQK++QtIr8vIu8VkTNzrH9ARD4QhDhumyuG17i9UhEZm2PdD0VkVEQqbtC+VERyRWSviJy8EdsM2PbU+fllwNgkKiLegOd7A+KYnOVxs/94qIhcMyi/iPzIv650nu00BeuzYEw4COvkLSLJwAeBrnmKfRP4hH+Uv4W299ci4pMwmzR4Fu8ENqlq/dSCGzEdnKo+r6rrXu92pgScnx+o6p2q6lFVD85AWNPPVfX5gJcVBiyferzoXzcJ7BaRlIB9xOPMGTo5Y/czt1PKdXwWjIl0YZ28cYbefARnzGyPiPyDiPSIyBH/ZKuo6hXgWZz5++bk/4P+IM4MPb+3QNn7ROSMODOa/8CfQALX3yMiJ/yzXz8uIkX+5VfVzmd5/oCIdIhIN84wmLPt+7z/11Mi8hEReUlE/hln2ij8yy6IyIiI/FpENswXd0BNu2XmN5jZ3oc/5kPizOjd6d/ejjkO1QPAIzdwqjovzgTU9wUsuxd4wb9uXov9LBizHIR78r4f548ZoAJnXstCnLF/vyvODCf4y7xtgW19AOcP+8+B3xCRtNkK+b+afwNn7Ot8IB34ZMD6Epxxk38fZ7q24zgT+85LRCqBL/nfUwXOxAjXUNVK/6+FOENmbsVJ3Nv8Nd2vAG/FmULqRf/7mTPugJp2Ic5Qu4t5H9uBS/7ljzP3tGSB5+dG+aF/u4H7uJ6xnhfzWTAm4oVt8vYn5u04k+YCtKnq36nqCE4SLMCZNgvgFWD3Apv8r8A/qmoL8HOciW9n81+AR1X1iH+qs98FDgWsfx/wmKo+o6oDOBMybBaRhQbmfy9O88I+Ve1j8XMLXlbVr6rqBDCOc0xOALk4TQkZi4x7plnfh3+7nTgzuo/hJO+imS+e5fwsVpOIjAU8Zs7s8zhwuzhzWsbgzC7/+CK28xb/8sV8FoyJeOF8h2UGzj+XqQl026ZWqOqEiHT6y5wHeoAEEUn2J6KriDNHoga0rf5v4Fsi8vezfOUvBhoC9lUL1IrIbf5FJf59BsbSD2TP8h4C/zkWcvUs6YudIb1vxvM/A/bi1MoHF4p7nu3O9z56AibBGGP2z8nM87NYparaPtdKVR0QkX3Am4ArwEuq2i/O9GOL2c68nwVjlouwrXnzasKY+qvNm1ohItFADnDRv8g34+dMvwd8deqJqu7DuQj6jlnKdvu3PbWvm2b0YOjEScRT61NwZu1u9u8/8JgGJvQOnAQ7JfD3xfpNoBQoU9XbgMCeGQvFPdN872MxZp6fG2mq6eR+4EfX+dqFPgvGLAvhnLw7cWp9U23TeSLyO/6v0n8MHFbVqdprOjDqby64ioiUAbfizOcY6CvAJ2bZ74+A94jIehHJAP4nEBuw/ofAu0Vkt4gk4jQ3/NTfFNICFItIlr93yIdmvO5+f1JNBT69uMNwFQ/O5Lex/guVHweixKmWzhe3FycxB5r1fXBtTX8uM8/PjfQozpR4bwZ+cp2vnfOzYMxyErbJW1Uncdps1/sXHcHpMtaHU2N+MKD4OuDXc2zqISABOCsiLVMP4AvAzSKybcZ+Xwb+f5xabR1wAPiXgPXHcWry/46TwFbjJFFUtQH4a/9rDgKHA153AvhDnLkkzwJPLf5oTPt3nGaKyzhzFf4hUA387gJxP4pz/LIW8z4WY5bzs1gtcm0f7bfO2HaPP97Tqnr5Orc/32fBmGUjrOewFJE/AlJU9TMLlPsC0KKqX52vnLmxFnt+gsk+C8uXiJTuSExo/MP8vIULB3hhYJB/aO+wOSyD7P8C94nInBdWRSQKeCNO/20TXAuen2Cyz4JZScI6efvbkf8JpxvcXN4PfM3fhdAE0SLPTzDZZ8GsGGFRY5qPqn5tgfX/FqRQzCwWOj/BZJ8Fs5KEdc3bGGPM7Cx5G2NMBLLkbYwxESgs27wz0tO1qKAg1GEYY5bA8ZMnu1Q1a+GSZj5hmbyLCgp4+tEfhzoMY8wSyCqvuhDqGJYDazYxxpgIFJTkLSIPiUibf5KAx0Xk+m6RMsYYc5UlT94isg74C+DtOJMEDAJ/s9T7NcaY5SwYNe9bgcdV9aB/pLdvAWuDsF9jjFkU/5SA50RkWES+JyJJs5QpF5Hn/GVOB4zxHxLBSN5fx5nrEP9Qpe8H9gdhv8YYsyD/lIjfwRlquhBnjPrPz1L0ezjT7GXjTA04c5jpoFry5K2qE6o6LiIP4EyA8HacuROvIiIPishhETnc3dOz1GEZY8yUtwJHVfURVe3FGdb5qvF6RGQLzpj4n1fVYVX9Bs74+e7gh+sIWm8TVf06EA/8KfCIfwS4wPUPq+o2Vd2WkZ4erLCMMWYD8HLA85NAjn+SkilbgXPAN0SkS0ReAsZnmUYxaIJxwfLTU9NxqeooziQC6UDyUu/bGGMWIZmAuVhV9QrO5N6BOSoTuBNnEpUinGGHHxGRwFm2gioYN+l0Ap8Skf04k+5+Ejihqt1B2LcxZhmJTnCTVh5/Xa9JaL0C7ewSkcMBix9W1Yf9v/cBcVMr/HPkeoDeGZs6oapT7dz/KCKfBVYBx68roBskGMn7X3Cm2NqPc4D240wsa4wxwXJAVd8zx7ozOO3eU1YD5/wtBVOagOmmXv+8sS4gsExQBeOC5aSqflJVc1U1RVXfpKrnl3q/xhizSI8At4jILf6eJ38FfHtGmSeBfBH5qIjE4cyNewGnHTwk7PZ4Y8yK5m/C/RDwTeAizgTfXxCRD4rIeX+ZXuANwG8DHTi95t6lIZwEOCwHpjLGmGBS1ceAx2Ys/qb/MVXmELA9mHHNx2rexhgTgSx5G2NMBLLkbYwxEciStzHGRCBL3sYYE4EseRtjTASy5G2MMRHIkrcxxkQgS97GGBOBLHkbY0wEsuRtjDERyJK3McZEIEvexhgTgSx5G2NMBLLkbYwxEciStzHGRCBL3sYYE4EseRtjTASy5G2MMREoKHNYisiHgL8AMoEjwIOqejYY+zZmOfP5fPQNDNLd20vvwACqSnJiIqsrKwA4fa6e8YlxRASXuBCXkJyQQHFBPgANzRfx+ny4RJwyLiEhLp6sjHQA2i5fZuYcu/FxcaQmJwPQ2tFxTUwJ8fGkJCXh8/lo7+xcyre/oi158haRKuCrwLuB54BPAN8FNi/1vo1ZLlSV4ZFRuvt6GbsyzqryMgB+9OTP6ejqvqpsfk72dPI+evIU/YODV60vKcifTt7PHzzEyOjYVeurSkt4w617AHjsl88yMTF51fo1lRXcvnsXAD9+6ulrYt24uoY927cy6fXOut7cGMGoed8BPKuqPwMQkb8F/lJE0lW1Jwj7NyaijE9MEB0VBcDJunPUNTTS09fPlfFxAKKjoqguK0VE2Li6Bp/PR3paKmkpKXjc7qtqyu+971586kN9ik8VVR8u16utpe+45w14fV5UdbpMTHT09Po3337bNTXvhPi46d/fdved18SfmBAPgMftnnX9Zz/72es/KOYawUjejwBPBTzfCowAA0HYtzFhbXB4mLaOy3T39dHd6zyGRkZ44H3vIToqirErV1BVKkuLyUhNJSMtlfTUVEQEgKqy0mu2ObUOICpq/j/x1OSkedcX5ObMu74wL3fOdS6Xa9715vVZ8uStqtONYiJyP/A14FOqetV3MRF5EHgQoDA/f6nDMiaovD4fPb19XO7upqOrm+0b1pOUmEDTxRZ+degwLpeLtORk8nKyyUhNna7tblu/jm3r112zPVVlcGiY3oF+evsH6O3rp29wEPUpCE77tr8dW1wy3aY99Zj5/JrlLv9PhID/BSaMBOuCZSbwzzi17o+o6qMzy6jqw8DDAJvWr9eZ642JFKqKz+fD7XbT1dPL8wcP0dnTi9frBSAmOppV5WUkJSZQUVJCfk4OqclJuN3ua7bl9XrpGxikt7+f3gEnSff2D9A3MMCkf3sAcbExpCYl4/Y3m0w1laiq//mrv1+zzDd7GZ8qqP0phqtgXLBMAPYB+4EaVR1a6n0aE0xDIyNc7nJq1Je7u7nc1c3OTRvZsHoV0dFRiAjrVlWRk5FBdmYGyYmJ000b8XGxxMfFMj4+QWdPL739/fT1D9DTP0Bvfz8DQ0NXtTknJSaQlpJCQV4O6SkppCYnk56SQmxsTKje/nX7b5/5TKhDWBaCUfN+P9Cmqh8Owr6MWVJjV67Q2d2Dy+WiIDeH8YkJvvnDR1BVXCKkp6VSVVZCRloqAMmJibzzjW+Yfr3X56Orp5eO7m56evucJo/+foZHR6fLuFwuUpOTyExPo6q0hLSUZNJSUkhNSSbKE5Qvy2HLHR9PQmnRdb0mZtwFXFyagEIoGJ+EDcBeEZmcsbxCVS8EYf/GvC6nz9XT0t7O5a7u6W53RXl5FOTmEB0VxR27dznJNi0NT0ByVVX6BwedGrm/Vh7YfBIV5SEtOYXCvFzSUlJIS0kmPTWF5MTEq3qEGDObYFywfAh4aKn3Y8zrpar0DQxwqb2DweERbtqyCYBzjU309veTk5XJ6spysjMzyfbfxAJQU1EOwPDICM2tbdMXJTu7e6a793k8brLS0+dsPjHmeq3s72DGAM2tbdSer+dSewejY84NK0kJCezYuB63282bbruVqCjPVYn2yvg4F1vb6PC3cV/u6p5u+hARMtJSqSgpJifTSdTpKSlWmzY31KKTt4isAfKZMR6Kqv78RgdlzFIIrFlf6rjMnm1bSIiPp7e/n7bLlynKz6UgJ4eC3JyrasUul9DR1XVV80ffwKt3LaYkJVGQm0N2ZgY5mRnXNJ8YsxQW9QkTkb8DfgtomLFKAUveJqz1DQxw6NgrXOromL4VPCEujoGhYRLi41m/qpoNNasQEbxeL919fZw6d57Orm46unvo6eub7vGREBdHdmYGqyrKycnIICsjndiYyOnpYZaPxVYPPgSsCbzhxphwNDA0xMXWNi61d1BaVEh1WSkul4vWjssU5E7VrLNJSUpCVenu7eVyd4+/Rt1DV28vPp8PcPpjZ2dkULpuDdn+durE+PjQvkFj/BabvM8DOYAlbxN2VJUXjxyl+VIrvf3OqAvxcXHkZmcBTne9D97/dvoHh7jc3c2Js3V0dvXQ2dvD5OSrPT+yMzLYuHoVWRkZ5GRkkJSYYBcUTdhabPL+HPCCiPyCGWOSWP9tE2z9g4M0X2rlyvg42zasR0Rov9xJYnw8a6oqKc7Pw+Vy0dnTy/4jR7nc1cPlnu7p0fE8bqfnx5qqSqdGnZFBanKSJWoTURabvL8E/AJnLG7f0oVjzOzaO7s419RE86XW6YuFGWlpbF2/DhHh7W+4i5b2DuovNHP05ClGx64Azg0vmWlprCorc2rUmemkWc8PswwsNnkXANtUdXTBksbcAH0DA1y41Mraqko8Hg8XWi5xqu48BTnZrFtVTUlBPvFxcdRfaKah+SJNly4xMTFJdFQUJYUF5Odkk52RTkZq6qxjhhgT6a6n5v0ZEfmCqg4uWNqY6zQ5OUlLewfNl1q50NrKwKAzBE5GaiqFeblsXFPD1vVrmfR6aWq5xP4jL9Pc2obX6yUuNoaq0lLKi4sozM2xZG1WhMUm708BCcCfisg4ThdBAXyqmrBUwZnl7cr4OJOTXhLi4+jp6+eJZ57D43ZTkJvDptU1FBfkk5KUxPDoKI0XW2i4cJFL7e34VEmMj2dtVSXlxUXkZWdZM4hZcRabvD8N/GTGskTgyzc2HLPcqSodXd2cqjvH+aYLVJeVcvvuXWRlpPPWu+4gLycbj9vNwNAQjc0t1Dc303bZmQcxJSmJTWtWU15SRHZGhl1gNCvaYpP3bwOZqvrfRSQNp/fJR4B/XbLIzLJzpr6BY6dr6e7tw+PxUF1exrrqKsC5pTwxIYHjp2tpaL7I5W5nhryMtFS2b1xPRXHRVTPIGLPSLTZ53wI8LiJbgZ3AAWCrqtYuWWQm4qkqXT29ZKanISJc7upGRNi7awfVZaVEeTx09/Zx8Nhx6i9cpLe/H4CczAxu2rKJ8uKi6VnKjTFXW1TyVtUeEbkT+D5QB7xNVb0LvMysUOPjE9Q1NnKy7jzdvb284567yM/J4eZtW3C5XHT19HLkxCnqLzTTPziIiJCfnc266irKi4umJ7A1xsxt3uQtIrU4FyenRAEVQIOIDAOo6pqlC89EkrGxK+w/+jLnmpqYnPSSkZbG3p3byUhN43J3N/VNzZxvbmZgcAgRoTA3h81r11BWVEh8XGyowzcmoixU8/5YUKIwEWt8YoL+gUGyMtKJivLQ0t5OVWkpa6oqAKGhuZnvPfEzBoaGcIlQmJfL1nVrKSsqJC7WErYxr9W8yVtVnw9WICayXO7u5lTdeeoam4iLjeE33/E2XC4Xd928m8aLLfz8Vy8yODz8asJev47yosKImmvRmHBmgw6b69J8qZUDLx+ns6cHj8dNZUkJedmZ7Dt8hIbmiwwNj+ByuSjKy2X7xvWUFRXakKnGLAFL3mZBU1N5xURH4/X58Pp8bFxdg9d/t+OZ+gZcLhfF+Xns3LSRsqJCYqKjQxy1McubJW8zp7GxKxw/c4ZXas+yrrqKVRXlXGxtY+zKGMdrz/gTdj67Nm+k1BK2MUFlydtcY3h0lOOnazlx9hyTk5OUFOTTOzDIdx97ApcIxQX5VJQUU1ZYSHR0VKjDNWZFClryFpEXgD9W1QPB2qd5bV586QjnLzRTXlxEbEw0Zxsa8fmU9auq2bZhnfUSMSYMLHnyFpF7gHcAe5Z6X+a16R8c5OjJ02xcXUN6agrbNq4nNTmZk3XnGB0bo7KkmF1bNpGSlBTqUI0xfsGoee/x72coCPsy16Gnr5+jJ09R19iES4TcrEx6+/v59dFj9A8Okp+TzZvv2EtOZmaoQzXGzLDkyVtVPwMgInct9b7M4qgqz+w/wJn6BjweNxtWryI/O4uXT9XS3tlFWkoKb75jLyUFBTYQlDFhyi5YriDdvb3TI/Mlxsezdf1aSgoKOHa6lp+dPkN8XBy337STmopyGx/bmDAXNslbRB4EHgQozM8PcTTLS2tHB4dfOcnFtnbedvedFOblsq6mmpeOn+DHT/0Cj8fNzk0b2bi6hqiosPlIGGPmETZ/qar6MPAwwKb163WB4mYBqsrFtnYOv3KCtsudxMXGctOWzaSmJHPo+Cu8fKoWn9fLuuoqtm1YbwNDmYjgjk8gvrjiul4T0zOxRNGEVtgkb3NjTUxM8vS+F3G73NyyfRs1FWXUNV3ge4//jNGxMSpKitm1eaONl21MhLLkvYyoKhcuXaI4P5/o6Cje/oa7SU5MoLm1jR/87Cl6+wfIy87i3tv3kptlPUiMiWRBS96qWhqsfa1EwyOjPHfgEE0tLdyxexerKysYn5jg0aefoe1yJ2kpydx7+15KC60HiTHLgdW8I5yqcrahkX0vHWHS6+XmbVsoys/j6X37OdvQSHxcLLft2sHqygrrQWLMMmLJO8K98NIRTpw5S152Frft2kFLewff+cnjTHq9bF2/lq3r1lkPEmOWIfurjkCqis/nw+12U11WQkpSItkZGfxi3366enopysvl1p3b7WKkMcuYJe8IMzA0xHO/PkRqSjK37thGSlIStefq2ffSERLi47jn1j1UlBRbu7Yxy5wl7wihqpyqO8f+Iy8DUFZcyKm68/z66MtMTEywac1qtm9cT3SUDdFqzEpgyTsCDAwN8cz+A1xq76AwL5cNNas4fOIkl7u6yc/J5tad28lITQ11mMaYILLkHQF8PqW3v58927bSO9DPT599nrjYWO7as5vqslJrIjFmBbLkHab6BgY429DEjo3rSUlKZMemjRx8+RhjV8bZULOKHZs22LRjxqxglrzDjM/n45UzZznw8nHcLhe5WRkcOXGKtsud5GZl8pa7tpOVnh7qMI0xIWbJO4z09vfzyxcP0NHVRXF+PonxcTzxzPPEREdzx+5d1FSUWxOJMQaw5B02vD4fjz79DBMTk6xbVUX9hYs0t46xtrqKXZs3EhsTE+oQjTFhxO6XDiGv18vpc+fxer24XS52bdpEWkoyJ8+eIykhnnfd+0Zu27XDErcx5hpW8w4Bn8/H2YZGXjp+gsHhYVSVvoFBXjlzliiPh707t7OmqtLGIjHGzMmSdxCpKucvNHPo2Cv0DQyQnppCaWEBvzp0GFVlVXkZu7duJi7WJkYwxszPkneQvXzyNKo+CnJyaO3ooG9gkJryMjavW2NjkRhjFs2S9xJraW/n5ZOnuXvPzQwODxMfF0tnTw/DI6NsWF3DpjWrSUyID3WYxpgIY8l7iXR0dXHg5eO0tLUTGxPD4888S0dXN9FRUWxbv44Nq1dZ84gx5jVbEcl7xH3jk+S5zl6qstKuWe71ennuuWdobm4mKiqKxMREhoaGQIStW7dRU7Oa6OhoFBiZZbvx3rEbHqsxZvlZlsn79STrc529nOka4PG6ERo6oKXNQ0HrAFfqv8X4aM+sr4mOSyc1ey2jSZtwbY3j3rg+Et1RMDFBdHQ0O3feRHV1NR7Pwod7sbFbkjdmZVsWyXuxCe+x2gvU9V6hrtNLQwfokRHcPccZ6T05Z2JOBgbn2WZiQgxbN6dTVenj8NEfsWo4l5SoePr6Rnj5+EXO1Xfi8z0JOEk+puL9XMpPpjBvkvIcuK86nprM5Flr8a/3PVuCN2b5Csvk7YmJIbOs8oZv93eLC2dZ+rbXtK2hoSFeeOEFjhw5gs/nIyoqil07ysnNzeWWW26hpqbG+mkbY5ZMWCbvcKOq/4+9+4yO67oOvv/f6J3ovRNsYO+kRFK0erOK5RJbsmVbseLYSuKWJ0q8nMj2E9uxHefN4xJbStxbbDmWVaJCFaqSFHsnAZAE2EACJNH7YPb74V5AgyEaJWAKuH9rzcLMrfvOHew5c+6559Dc3ExXVxf5+fmoKo888ghtbW1ERkaiquTk5LB27VoqKiqs/xFjzKQLSPIWkRuA7wH5wFPAfao6Wm1E0B04cIBjx45x5swZzp49S19fH8nJycybN4/m5mY63B8mEC0AACAASURBVDsjS0tLWbNmDSUlJcEO2RhzGZn05C0iacBvgI8DLwMPA18FPjPZ+x6NqtLU1MSZM2c4ceIEp0+fprW1lQULFtDS0kJ1dTWdnUPbg7S1tbF161ZSU1OprKxk9erV5OXlBekIjDETZTwFTBF5APgikAi8AnxCVesDHeuAQJS8bwN2qOpjACLyDZw3Z1zJ2+v1Dj5XVdxt4PV6B+ep6uC8iIiIwfkejwdVpbe3l7q6Ok6ePElaWhqtra3U1NTQ1NR00f5eeeUVUlJSyMjIoKKigvT0dNLS0khNTSUtLY2kpCSrFjFmChlPAVNE5gFfBm4G9gOPAN8EPhzoeAcEInkvAHb6vN4H5IhIkqq2D7fC6dOn+fKXvzxpAcXGxpKUlEReXh6ZmZnk5+eTmZlJWloa06ZNG1eTPmPMlDGeAuY64ElV3eIu8yvgK4EO1FcgslQKUDfwQlV7RMTjTh9M3iJyP3C/+7LnoYce2heA2N6JTOBcsIMYh3CI02KcOOEQ56xgB+BnPAXMR4D/BBCRDOBu4I2ARuknEMm7GYgfeCEiMe5+h9RZqOrDOD9XEJFtqrosALG9beEQI4RHnBbjxAmHOEVk29tdNzI+kbjC8ktaJ/r4BYBVfvt92M05MI4Cpqr2ubF/AidPdQPXvc3DmBCBSN6HcH6WDJgDVKtqVwD2bYwxAJtV9f0jzBtXARNAVR8RkV8CnwAeE5G8gcQeaIG4i+QxYK2IrHUvDHwN+HUA9muMMeNxCJjn8/qiAqaIfFFE7gFwp/8HkI5TOg+KSU/eqnoeuBf4OXACaAC+PsZqD48xPxSEQ4wQHnFajBMnHOIMtRjHU8BsBB4UkXIRiQO+AOx181tQBOT+bVV9QlXLVDVJVT+mqj1jLB9qJ/ci4RAjhEecFuPECYc4Qy3GkQqYIvIREalxF/sxsAHnIuVZnNYndwUh3EHWJs4Yc9lT1SeAJ/wm/9x9oKoe4LPuIySEVM9J7k+SjSLSISIHRGR9sGPyJyJ/KyInRaTdjXV2sGPyJSKvisgq97mIyHdEpEVETovIJ4MdH1wUY4KI/FREWkXkjIj8u4hEBztGGBqn3/R/FpFnghGTP/8YReQeEal1z/kfRSQ1mPEN8DvnWSLymBtjo3vOI4MdY7gJqeQN/A54EcgG/gX4VXDDGUpEVgKfA9YCGcAW4AdBDcolIjeIyA+BNT6TPw5cC1QCNwD/V0QWByM+GDHGB4HZODEuAlYAnwpCeINGiHNg3mLg84GP6qI4LopRRBYB3wE+CBQCMcD/CU6EgzEN915+BaeFRy7OOb8Gp920uQQhk7xFZAnODQZfVdUOVf0Z8P4Q+0buB5S3qpsigeE7Ag+8NThx+d61eg/wTVU9pap7cW4B/kAwgnMNF+N1wLdU9aSqngH+C+efOZiGixP3F8EjhMYFt+Fi/DjwQ1Xd5PbL8THcn/1BNFycHpzcEwEIofV/FDZCqc57KVAN/ExEbgaOAZ9S1f7ghvUWVd0mIo8DVe6kLpySQ9Cp6pcARORan8n+d47txymJB8UIMf45cNzn9TLgdCDj8jdCnAB/D7wAHARmBjouXyPEuBR4SUR2AMU4dbgPBCG8QSPE+RVgB28l9Bdwbkc3lyBkSt44pe5rgGeBIuAnOI3gQ2aUXhG5BrgTWAIkAz8lxKp2/KQALT6v2whiu9ThqOp+VW0TkUQR+S7wHpwqs5Didkz0AeChIIcymkzgvcD7cb5cigly/xsj+A5OlWMqTpVZCUGuKgtHoZS8wWk3+StV7VLVHwDRhFY/CHcAv1DVnW6fBw8Cy0QkPchxjWTInWNAAsPcNRZsInI1Tmm2HFiiqseCHNIQIhKB01TsgTC4M/hHqlqjqhdwkuTVwQ5oGHcAD6lqi6oeBr6Lc03GXIJQqjapxUnWgNNSAufLJZT+WTpx6ucGeHDqwUMpRl8Dd45Vu68rgd3BC+dibj/KvwU+qar/Hex4RpAMLAaedrsDjgQiROSMquYGNbKhavH5HyL0/n8GdPq97gM6ghFIOAulkvczQL6I/LmIxOPU1dXxVuIJBU8C94jIEjfGh4BnQrg09ivgCyKS7raUuRv4fZBj8vdPwGdDOHHjlhCjVTVOVeNw+rXYEGKJG5wvwU+JyGz31+DngFB8X58A/klEUkWkBPhL4A9BjinshEzyVtUm4HrgL3DuYLoDeK8OjLIQAlT1VZyLVr8DzuDU190X1KBG9wiwC+dL8FHgM6oaSl+G4FxU/U8R8fg8Xgh2UGHqpzh9brwAHAC24owOE2o+h3P95QjwGvAbVX00uCGFn1CqNkFV3wSWBzuO0ajqT3AupoYkVS31ed4PfNp9hAy/GJOCGMqofOP0m/5TnEQZdH7vpeJc7A25C75+cbbiNGs070DIlLyNMcaMnyVvY4wJQ5a8jTEmDFnyNsaYMGTJ2xhjwpAlb2OMCUOWvI0xJgxZ8jbGmDBkydsYY8KQJW9jjAlDIZ+8ReRvRGTY0V9E5BMick8AYlgvIocmcHulItI9wrw/iEiXiEyfoH2piOSKyFUism8itum3/YvOjzte4Sm3K1Xf6ZEi8g8iUuMeY7WIfElEYtz3REXkok75ReR/3Hml7ut73XEa20XkZRGZ5U4PyOfBmFAQ0slbRFKAj+B0qjScnwOfcXv4G2tb3xARr4TYgMHDeA+wSFWPDEyYiKHgVPVlVZ33Trfja7jz4/YSNxtnuLh1fqt8H6cjrz8H0oBbcDoj+zd3vge4QkSm+WwvAWfMUI/7eoa7nb8EsnB6o/ytu/i4Pw/GhLuQTt44XW8+pqr9InKriBwSZ5TxR0UkQVV7gJcYo5Mb95/5IzgdSv31GMtetB+/+TeIyF535OsnRaTInT6kdD7M60+IyFkROY+TeIbbd437dL+I3CciW0Xkv3CGjMKdVicinSKySUQWjBa3T0n7pIh8wC+e0Y7jTXFG9G50t7lihLdr8Pz4TLsHp9fF3+EMhDuwv1nA/cCHVHWjqnarahVwL06f49E4faO/CNzqs72bgVfdeeAMLvCSqj7tdsX7bWChiKSP9/NgzFQQ6sn7LuBF9+fyz3D6o84H0oHPusu8CNw+xnbuwfmn/ifgQyKSNtxCY+xnoFT5W+BvcIZq240zqO+oRKQC+JZ7PNNxBkW4iKpWuE8LcbrLXIqTuJe5pdzvArfhDB/1uns8I8btU9IuxOlmd7zHsRw45c57kpF7qbsL5/33dQ9OCfi3wHvFGbQXnCHuTqrqFr9jPqqqV+F0yA9Ov853+e3Dt6/nx4C/8nm9FKdz/1b39Xg+D8aEvZBN3m596XKcQXP/DHhcVbe7w499GnjTXXQPcMUYm/sr4AeqehJ4Dudn+3BG2w84JcknVPVFt1vLh4DFIjJWp/wfAB5V1ddUtZnxjyvYoKrfV9U+oBfn/dgL5OJUI2SMM25/Yx1HI86I7t04ybvIfwN+52dg2jIgQlW3uN37tuBUi4BTTTKegYWfBN4lzpiWsTijyz85MFNVz6pqrbu/u3A69n9QVT3uIuP5PBgT9kKqP28/GThfLi04A6keHZihqgdxxjwEuAAkikiKm4iGEGd8RFXV191J/w/4lYh8Z5iR6Yfdj4isdyeVADU+8/tEpAXIHiZ+3y/GQoaOkD7e0dGb/V7/PXAVTqm8bay4R9nuWMdxwWcQjG6G/5z4np8BHwZKReSc+zoZ54viKeA8zgC5FxGRDwH73FhaReQ14CagB9iqqi3iDD82sHwm8F84pe77VPVxn82N+nkw4S0yIYn44hmXtE7M4ZOTFE1whWzJm7cShuD84+cMzBCR1T6tCrx+f/39Nc4FLgBU9TXgHM4o8P5G2w84JdJCn/nTcBLScXf/vu+nb0I/i5NgB/g+H68PA6VAmaqux0mI443b32jHMV6+5wcRicL5BXA9sMh93ADc7l5zeBkoF5H5vhsRZ3i2HzF0rMWBqpO7gP/xWz4RZ/SV88Bsv8QNY38ejJkSQjl5N+KU+tJw/oHfLyLzRSQDp3VCnLtcOtDlVhcMISJlOC0efuU367vAZ4bZ52j7ASepvE9ErhCRJJzqhv91q0JOAsUikuW2DrnXb7273KSaCnxx3O/CW6JwBr6Ncy9UfgqIFqdIOlrc/Vxc4h3tOMbL9/yAk7Rb3FYtJ93HRpwk+27318Avgd+KyCoRiXcT9y+BL/NWnTfA4+72bgH+5Lffu4F6Vf34cOecUT4PxkwlIZu83TrMN4H5qroT+Aec0mYVsBn4sbvoPGDTCJt5AEgEDovIyYEH8HXgSreO1nefo+0HVd2NU5L/BU7ymoOTRFHVo8A33HW2ANt81tsLfB6nSd1h4NlLf0f4BU4VRQPOOIWfB2YCnx4j7seB7TjN6sY8jvHyPT/upHvwKyW7nuCtVif34XyR/gJowrmw+e+q+m2/bV9wYz6gqg1+21sAXCVDx7z0uBdhYfTPgzFThoTQ+L4XEZEvANNU9UujLPN1nFYM3x9pGTM5xnN+As0+D1OXiJTeuO6KYz/8yqX9cH1sw0t85p+//XlV/c4khRYUIVvydv0ncKtbn3oRtxnajYTwgMBT3KjnJ9Ds82AuJyGdvN062B/hXAgbzt3AD1W1M3BRmQHjOD+BZp8Hc9kIiRLTaFT1h6PM+2kAQzHDGO38BJp9HszlJKRL3sYYY4ZnydsYY8JQSFabZKSna1FBQbDDMMZMgt379p1T1ayxlzSjCcnkXVRQwPOP/zHYYRhjJkFW+Yy6YMcwFVi1iTHGhCFL3sYYE4YCkrxF5AERqXcHCnhSRPICsV9jjJmqJj15i8g8nI6H7sAZKKAN+OZk79cYY6ayQJS81wFPuh30t+N0TDQ3APs1xpgpKxCtTR7B6QMDt7vSu4E3ArBfY4yZsiY9ebtDeCEinwAexukD+jr/5UTkfpwBainMz5/ssIwxJqwFrLWJqj4CJAB/BzzmMzDtwPyHVXWZqi7LSE8PVFjGGBOWAnHB8osDQ3KpahfOQALpQMpk79sYY6aqQJS8G4EHRaRcROKALwB7VfV8APZtjDFTUiAuWP4YZ5itN4B49+9dAdivMcZMWYG4YOkBPus+jDHGTAC7Pd4YY8KQJW9jjAlDlryNMSYMWfI2xpgwZMnbGGPCkCVvY4wJQ5a8jTEmDIXkGJbGGDOcyPgkEotnXtI6sRkHJyma4LKStzHGhCFL3sYYE4YseRtjTBiy5G2MMWHIkrcxxoQhS97GGBOGLHkbY0wYsuRtjDFhyJK3McaEIUvexhgThix5G2NMGLLkbYwxYciStzHGhKGAJG8RuVdEakWkXUReFpFZgdivMcZMVZOevEVkBvB94C+BLOAZ4LeTvV9jjJnKAlHyvhp4SVWfVtUu4NvAQhFJD8C+jTFmSgrEYAyPAc/6vF4KdAKtAdi3McZMSZNe8lbVs6paCyAidwFPAA+qqsd3ORG5X0S2ici28xcuTHZYxhgT1gJ1wTJTRP4E/Dtwn6p+z38ZVX1YVZep6rKMdKtRMcaY0Ux6tYmIJAKvAW8As1W1fbL3aYwxU10g6rzvBupV9eMB2JcxxlwWApG8FwBXiYjHb/p0Va0LwP6NCQvdPT14PP14+j14+vvxePqJi40hNSUFgKqjxwanDyyTnZFBaWEBnv5+Xt+6nSXz5pKclBjkIzGBMOnJW1UfAB6Y7P0YE2pUld6+PmJjYgDYuf8gTS0ttLa309beQU9vL8X5eVy/bg0Av/zj4/T09g7Zxuzp5Vxz5WoAXnhjM16vd8j8+bNnUVpYgIiwr6qappZWbr/+GkQkAEdogmncyVtEKoF8/C5yqupzEx2UMeFAVenp7SUuNhaAA9U1nD13fjA5t3V0kJORwXtuuh6Aw0eP0dXdTUpSIjmZGcTHxZGZnja4vSuWLkYVoqIiiYqMJDIykuTEt0rRH7ztFiIjIomKcuZFRUYSEeH8O0ZGRLB+1Uo2bt7CwZojVM6oCOA7YYJhXMlbRP4V+Chw1G+WApa8zWWhpu44J+vP0NbeTqubnOPjYrn3rjsBOHr8BA3nL5CclEhWRjrTi4tIT0sdXP/9t9w4mGyHM1bCHag+GXn96VQdO8Yb23dSUlhAYnz8JRydCTfjLXnfC1Sq6tnJDMaYYPN6vZy70ER9QyP1DQ00XmjiQ3e8m8iICE7Wn+FI3XFSkhLJSEultLCAaclJg+ve/K6rRk3Oo83zpap4+vvp9/Q7ddw+deCefg8eTz/9/f1DpvX39+NVZfXixTz23Abe2L6D69Zc+Y7fj8uFiNwAfA+nduEpnCbNbZe6zNvcdwowAziiqs3jXW+8ybsGyAEseZsppa/PQ0SEEBkZyaEjR3l5y1Y8HufaekpSEnnZWfT19hEZF8u6FctYv2rFiNsaLjmrKl3dPbR1tNPa1k5bR4dTam9vp7undzAZe/rdhOzx0O9Xr30p2mZ0cM2Vq8nOzHjb27jciEga8Bvg48DLwMPAV4HPXMoyb3PfdwL/DOwBlorIQ6r6q/GsO97k/RXgVRHZgN9t7dYE0ISTzq4ut1TtPBovXODWq9dTXJBP2rQU5kwvJy87i7zsbJISE4asO1Jy7unppbWjfTApt7V30DpYtdKOx9M/ZJ242FiSkxKJj40lKiphsP46KnKgPjtq8HlUZNSQOvDBaX7PI6Mi2bRjF/sOV7GocjbTkpNRVbyqRI6zxH8Zuw3YoaqPAYjIN3BK1p+5xGXejm8Cq1X1nIgUAtuBCU3e3wI2uBt++8UCYwJIVWlpa0cEpiUnc765md8+/hQAkZGR5GRmsGReJclJTtVHTmYmOZmZF22nv7+fCy0tQ5PyQJLuaKevb2gr2NiYGJITE0mblkJxfh7JSYmkJCWRkpRIclISMdHRk3K8yxfM49CRI2zeuZsb1q3h6Y2vkpyUyLoVyyZlf1PIAmCnz+t9QI6IJPncVDieZcYkIo8AD6vqVnfSCeAaEXkMuM59PS7jTd4FwDK3V0BjQlZ7RydHjh+n/mwDpxsa6eruZt6sGVy1cgVpKSlcsXQxedlZZKWnExkZOew2env7qG906rzrGxo523huSFVGdFQUKUlJJCclUZCbM5icB/4ONA0MtPi4OBbPreTNXXsGL5zuPXSYmWWl5GZd/KUUjvolks7IuEtapyciBmCViGzzmfywqj7sPk8BBu85UdUe976UFKD9EpYZj08BfyEiH8OpP78Hp3D8j8Be4H3j3dCllLy/JCJfn4gKemMmktfrJSIiAlXl0f99ho6uLpKTEinKzyU/O5uC3BzAqfZYPLfyovU7u7o43dDoJvwGzjc1o6qICFnp6cybPZOczEymJScNJudQbUe9cM5s9h6q4o3tO7jl6vUcO36ClzZt5v233DTil9VlYrOqvn+Eec3AYNMcEYnByY1Nl7jMmFS1D/ieiCTg3P+SD3xxoPO+SzHe5P0gkAj8nYj04jQRFMCrqnY7lwk4T38/dSdPUXWslnNNTdxzx22ICO+6YhXTkpNGbFY3UJVS39DA6bNOybqlzSmPREVGkpOVydL588jPziInK3PSqjgmS0x0NMsXzOeVN7dS39DIVauW89SLL7Nz/wGWLZgf7PBC1SGcOu0Bc4Bqv5qG8SwzJhGJBD7svvxXIAn4rIjEA/+mqmfGu63xJu8vAn/ym5aE00ugMQFzvqmJ3QcPc6TuOL19fcTHxTGjrIQ+j4eY6GhKCvKHLO/1ejnf3Ez92UZONzRQ39BAZ1c34NRN52VnM3dmBXnZ2WRlpE+Ji3uVMyvYffAQm3fs4v233kRFSTEHqo+weG7l5V76HsljwLdEZC1OXfbXgF+/jWXG46dAj/v8alX9CPCQiGQDnxORXlX9x/FsaLzJ+y+ATFX9R7fJzFeA+4CfXFrcxlwaVeXchSbi4mJJTkykraOTmro6phcXM6OslMLcnCGtQLxeL2fPneOUW6o+09BIb18fAEmJCRTm5pKXk01+djZp01JCtvrjnYiMiGDl4oU898prVB2rZd3K5YiIJe4RqOp5EbkX+DnOUI2/B74uIh8B/lFVK0Za5m3s7mYgF6fmot4nhgbgQREpHu+Gxpu81wJPishSYCWwGViqqgfHHbIxl6ClrY3qY7VUHaulqaWVJfPmsnrJIorz8/jY++4iOuqtj66qcqaxkera4xypqxssWaenTmNGWQl52U6yvpw6bKooKWZnRjpbdu2morSEqMhIvF4vF5pbhtySbxyq+gTOQDG+fu4+RlvmUm0B/t59/uYwcRwf74bGlbxV9YKIXIPzbVMF3K6q/WOsZswlU1Ue3/AiJ884VX952VlctWoFFcVOgSQiImLw4mTD+fNU19ZxpPY47Z2dREZGUlKQT0VJMUV5ecTFxQbzUIJKRFi9ZDGPb3jBbfs9h1ff3EbVsVo+dPu7SUywW+eD5G7gszgl7w+9kw2NmrxF5CDOxckB0cB04KiIdACo6sWX740Zp74+D8dOnODs+fOsXb4MESE7M4PCvFxmlJWQkvTW7ecDVSg1tXXU1B2ntb2diIgIivPzWLVkEWVFhWF3gXEyFeXlUpSXx7Y9+5hTMZ2FlbM5WHOEV9/cyo3r1wU7vMuSqjbhNAt8x8YqeX9yInZijL/unh72HDrMnoOH6entJSkhgeUL5hMXG8vqJYsGl1NVLjQ3U11bR03tcVra2ogQoTAvl2UL5lFeXBS0dtXhYPWSRfzuqafZuf8AqxYvYtnC+WzZuZujx09QXlwU7PDMOzBq8lbVlwMViLl81Dc08OQLG+nt66OsqJCFc2aTn5M95OJhU0uLm7DraGppRUQoyM1hybxKyouKLusqkUuRlZHOjNISdh84xPxZM1k8t5KaY3W88uZWCnNziYmxXyrhKhAj6RhDZ1c37R0dZGdmkJmWTnlxEQvnzB5y8aylrW0wYZ9vcjpXy8/JZsHsWZQXF5MQf2l31hnHysULOXL8BG/u3su7Vq/kXVes5KVNW+js7rLkHcYseZtJ1dHZxc79B9hfVU1yUiIfvO1WoqOjBkeHae/opOpYLTV1dTSevwBAblYma5YvpaKkmMSEhNE2b8ZhWnIyc2fOGLxwmZOZyQduvXlKNpO8nFjyNpOiraODnfsOcKC6Bq8qs8rLWDp/7mDCaGppZce+/VQdPYZXleyMDK5YuoSKkuLLqklfoCybP49DNUfYsnMXN65fh4jQ29vHroMHWTpvrrUBD0OWvM2kONPQyP6qamZPL2fJ/LlMS04G4NyFJrbv3UdN3XGiIiOZN2smC+bMGpxvJkdCfByL5s5h6+69nGk8R25WJvWNjWzdvReAFQsXBDlCc6kseZsJ0dzaxva9+0iblsKSeXOZXlJMblbWYCn6TOM5tu/dR+3JU0RHR7FkXiUL58yxeuwAWlQ5h32Hq9m0Yyd3XH8tJQX5zCgtYfve/VSUlJCeOi3YIZpLELDkLSKvAn+rqpsDtU8z+ZpaWti2dx/Vx+qIiIhgidtrX0REBEmJCZysP8O2vfs4deYssTExrFi0gPmzZg4O2msCx+m0ah6vvLmN46dPU1JQwJrlyzh+up6Nm7Zw543XWT14GJn05O2O+3YnsGay92UCa8e+/WzasYuoqEgWzpnNorlzSIyPR1WpO3WKbXv2c/bcORLi47hi6RLmzqywm2iCrHJGBbsOHmLT9l0U5eWREB/HlcuW8OIbm9lfVc28WTODHaIZp0CUvNe4+7mUDstNiGo8f4H4+DiSEhLIy85myby5LKqcTXxcHF6vl+raOrbv3c/5piaSExO5auVyZldMJ8ouiIWEyMhIVi1ayHOvvk71sVpmTS9n9vRyWtraKMrPC3Z45hJMevJW1S8BiMi1k70vM3la29t5Y/tOjtQdZ8HsWaxdscwd6zGLfq+XgzVH2LFvP82tbaSmpHDNlauZUVY6JbpYnWoqSkvYuf8gW3btoaK0xEnoi527WgcGoTChL2QuWIrI/cD9AIX5+WMsbQKlr8/Djn372XngIAIsXzCfhZWzAfB4PE7S3n+A9o5OMtPSuGHdGsqLi4YdrNeEBqfTqkU8/vyL7DtcPXg+u3t6eP61N6icUWG3zoeBkEne7nhyDwMsmj9fx1jcBMimHTvZe7iKGWWlrF6yiOTERHr7+tix7wC7Dhykq7ub3KxMrlq5gpKCfCu1hYmi/DyK8nLZtncfsyvKiY2JITo6mvbOLl7espWC3BzrMybEhUzyNqGj4dx5oqKiSE+dxpL5cwf7xO7u6WHr7r3sPniInt5ep3Oo+fMu6pfEhIfVSxYP6bQqMiKCq1ev5NGnn2XTjp2sX7Uy2CGaUVjyNoM6urrYvGMXh44cZXpxETeuX0dSQgLRUVFs3b2XXQcO0tvXR2lhIUvnz50yI5JfrgY7rTp4iPmzZpGYEE92ZgYLZs9i98FDzCwrIz8nO9hhmhFY8jb09/ez++Bhtu3dS3+/l8Vz57Bs/nx6+/rYe+gwO/cfpKe3l7KiQlYsXGAjsUwhKxcv5Ejdcbbu2cv6VSsAWLFoAUePn+DNXXu44wZrZxCqApa8VbU0UPsyl2bPocNs2rGT0sICrly2hMSEBPYdrmLHvgN09/RQUpDPikULyM7ICHaoZoINdlpVVc2iytmkpqQQEx3Nze+6iqRE6xQslFnJ+zJ1obmFnt5e8rKzmDdzJplpaeTlZLO/qprte/fT1d1NUV4eKxYtsOqRKW7ZgvkcOnKUzTt3c+NVawEGf115+vtpamkhKz09mCGaYVjyvswMXHTce7iKrPR03nvzDURECM2tbbzw+iY6urooyM1hxcK1Vt95mUiIj2NR5Ry27tnL2XPnyMl868v61Te3UVNbx503XkdmmlWXhRJL3pcJr9fLgeoatuzaQ09vL5UzKli2YB4Hqo+wbe9e2js6ycvO4tq1V1CYmxvscE2ALZo7h31VVWzavovbr79msPXQ8gXzqTt1iidfeIm7brqB5ETrrjdUuenPYAAAIABJREFU2J0Ul4kjx0/w8patZKSm8t6bbyAnM4M/PrOBjZu3kBgfz23XXs2dN1xnifsyFRMdzbIF8zl19izHT9cPTk9KTODd17yLvj4PT77wEj29vUGM0viy5D2Ftba1U3fqFAAVJcXccvVVzK4o57lXXufFNzYTGxvDLVev566bbqAoP8/aal/m5s6oICUpiU07dqH61n1yGWlp3LR+Hc2tbbz4hnUKGiqs2mQKajx/gT2HDlN1rJaEuDjuvvM2jp04ydbde2hqaSUjLZWb1q+jrKjQErYZFBkZycrFC9nw6utUHatlVnnZ4LzCvFyuX3sladOsz+9QYcl7CqlvaGTTjp3UNzQSFRXFnIrpZKWn8+hTz3C+uZm0adO44aq1TC8usqRthjWjtISd+w+wZdduKkqKhwyPNr2kGHA6rzp55ixFeYGvYmvv6aW6semS1jnb1jFJ0QSXVZuEua7ubjo6uwDnn6qjs4uVCxewcuF8zjaeY+PmLfR7+7lu7ZX82btvpqKk2BK3GZGIcMWSxbS1d7CvqnrYZWpq63h8wwvsPngowNEZX1byDlMDVSPVx2qZM2M6a5YtpbOri/TUaWzduw+v10t66jSuuXI1M8tKrZc/M25F+XkU5uWybc8+5kyfTkzM0AE0ppcUU1Zbx2tbt5OUkDBYIjeBZck7zBw9foJd+w9S3+hUjRQX5NPV3cNPfv8/9PT2khAfx/zZM5lVVkZmepqVss3bsnrJIn7/1DPsPHCAlYsWDpkXERHB9Wuv5E8bXmDDq6+TEB9HXrbdExBolrzDQHd3D7GxMYgIdadO09bZQWFeLs0trRw7cZKoqEjKi4uYVV5OYW6OlbLNO5adkeEM2rDvAHGxscyfNXPI5yoqKoqb33UVf3j6OZ7e+Ar33Hm7DXEXYJa8Q1jD+fPsPVRF1bFablq/jpa2NhrOnae9o5OOzi6K8nJZtWQRZUWF9o9jJtza5cvo7evjta3bqT5Wy7uuWEVGaurg/Pi4ON597btoamm1z18QWPIOMf1eL0frjrPn0GHONJ4jMiKChPg4nnpxI+D0OXHlsiXMKC0lMSE+uMGaKS0hPo5br15P1bFaXtu6nd89+TTL5s9jybzKwVYo05KTmZacDMCJ+jPkZGZYIg8QS94hor+/n8jISDweDy9t3gLq1C32e72gsGReJTPLy4aUfIyZbCLCrPIyivPzePXNbby5ew81dXVcfcWqIX2gtHd28uQLL1GYm8PNV6+3sUsDwJJ3kHg8Hk43NHLidD0n6+vp7u1lenExNbV19PV5iI6KYlZ5GbPKy2ykGhN08XFxXL9uDTPLS9m4+U3+8PRzLJg9i5WLFhIdHUVSQgJXrVzOS5u2sHHTFq6+YpV9ZieZJe8A8Xq9iAgiwo59+9myaw9erxdwSjeqyp6DhygpLGBNeRmlhQVERdnpMaGltLCQD96WzaYdu9h98BDHTpxk/eqVFOXlUjmjgvaOTrbu2UtyYiIrFi0IdrhTmmWHSdTS1sbJ+jOcqD/DidP1zJ1RQVNrG6fOnBlM3ClJSRTm5VKQk01Rfh7xcXFBjtqY0cXGxLB+1QpmlJbw0qYtPL7hBeZUTOeKpYtZvnA+7Z1OAi/My7VuhSfRZZO8OyMnJin635o7I8vp4zihvxtVRURovHCBp158mY7OziHL7jxwkGnJycwoLSE/N4eCnBwbrcSErYLcHP7s3Tezdfdedh44SN2pU6xbsZyrVq2gKC+XvOysYIc4pYVk8vb2dtNxvIrE4pkB3e9AYj50rhWAqqYe529jPwBHzzrLnax33rbivF4y5TBzkppJ671AVHwcSAQxXS3Q7wEgJi6e1MwsZpeXkZOTS3Z8SL7lxrwtUVFRrF66mIrSEl58YzPPvPwq5cVFrFuxHBHhQnMLnn6PDaE3CUIyk8QkT6PkqpsDvt/i4kIArhlmntfrpbOzk6SkJLxeL7/+9a85duyYU/3R7S7U0UVqaiql8+dRWlpKaWkp06wXNnMZyCyDmYuXsmnTJjZu3Mhvn/xfrrvuOrZt205rayv33XcfaTYSz4QKyeQdCk6cOMHRo0c5efIkjY2NtLW1ER0dTUpKChcuXKC/3ymNJyYmUl5eTnl5OaWlpaRaUz5zmYqMjGTNmjXMnj2bJ554gieeeILCwkL6+/v55S9/yX333UdCglUTTpSAJG8RuQH4HpAPPAXcp6ptgdj3aHp6eqivr6e2tpZTp07R3NxMYWEh58+f5/Tp04MJekB0dDRpaWlUVFSQnZ1tydqYYWRmZvLRj36U7du3s2HDBvr7+2lububXv/419957b7DDmzImPXmLSBrwG+DjwMvAw8BXgc9M9r4HeDwe6urqqK2tJTExkaamJmpqarhw4cJFy3Z1dZGZmcmcOXPIyMggPz+fjIwMUlNTh/RtbIwZmYiwbNkyZsyYwVNPPUV1dTWnTp3i2WefDXZoU0YgSt63ATtU9TEAEfkGTul7xOTd1tbG448/zunTp/F6vfT396Oq9Pf3k56eTmxsLO3t7Zw/fx6v14uqDj6SkpIQEXp6eujq6hp2+9HR0SQnJ5OdnU1WVhYFBQUUFxeTmZlJbGzsZLwHxlyWpk2bxgc/+EH27dvHU089xY4dO4Id0pQRiOS9ANjp83ofkCMiSaraPtwK7e3t7NmzZ7DaYuDmloHn8fHxeDweVJWIiAgiIiIQESIiIsjMzCQxMZHu7m6am5uJiIggKiqKjIwMiouLKSsrIzU11e7+MiZARIT58+czffp0nn/++WCHM2UEInmnAHUDL1S1R0Q87vTB5C0i9wP3uy97vvSlL+0LQGzvRCZwLthBjEM4xGkxTpxwiHNWsAOYCgKRvJuBwe7vRCTG3e+Qu11U9WGc+nBEZJuqLgtAbG9bOMQI4RGnxThxwiFOEdkW7BimgkB0/XUImOfzeg5QrarDV0gbY4wZUyCS92PAWhFZ67Y8+Rrw6wDs1xhjpqxJT96qeh64F/g5cAJoAL4+xmoPT3ZcEyAcYoTwiNNinDjhEGc4xBjyAnKTjqo+ATxxCcuH/MkNhxghPOK0GCdOOMQZDjGGAxvuwhhjwpAlb2OMCUMhlbxFpFxENopIh4gcEJH1wY7Jn4j8rYicFJF2N9bZwY7Jl4i8KiKr3OciIt8RkRYROS0inwx2fHBRjAki8lMRaRWRMyLy7yISEiPY+sbpN/2fReSZYMTkzz9GEblHRGrdc/5HEQmJznf8znmWiDzmxtjonnPre+IShVTyBn4HvAhkA/8C/Cq44QwlIiuBzwFrgQxgC/CDoAblEpEbROSHwBqfyR8HrgUqgRuA/ysii4MRH4wY44PAbJwYFwErgE8FIbxBI8Q5MG8x8PnAR3VRHBfFKCKLgO8AHwQKgRjg/wQnwsGYhnsvv4Jz/0cuzjm/Brg7COGFtZBJ3iKyBOfusK+qaoeq/gx4f4h9I/cDylsXeiOBi3u3Co41OHH5djlwD/BNVT2lqntxOgj7QDCCcw0X43XAt1T1pKqeAf6L4btUD6Th4sT9RfAIodFaYrgYPw78UFU3ub12fgynlVcwDRenByf3RABCaP0fhY1Q6s97KVAN/ExEbgaOAZ9S1f7RVwscVd0mIo8DVe6kLpySQ9Cp6pcARORan8n+/crsxymJB8UIMf45cNzn9TLgdCDj8jdCnAB/D7wAHAQCO8yTnxFiXAq8JCI7gGKcFl4PBCG8QSPE+RVgB28l9BdwOqszlyCUkncmTonrw8Bf4JQaHhOR6araPeqaASIi1wB3Aktwvmi+iVO1szyYcY0iBWjxed3mTgsZqrofQEQSgW8A7wFWBjWoYYjIPJxfLcsI7q+X0WQC7wVuxSnJ/h4nUQa9msfPd3CqHOfhVJ08iVNV9v2xVmzr9QwOUzhep9um5s3cIVNt4tqrqr9S1S5V/QEQTWh1YnMH8AtV3en2iPggsExE0oMc10iG9CsDJODXp0woEJGrcUqz5cASVT0W5JCGEJEI4MfAA2HQrcOPVLVGVS/gJMmrgx3QMO4AHlLVFlU9DHwX55qMuQShVPKuxUnWgNNSAufLJZT+WTpx6ucGeHDqwUMpRl8D/cpUu68rgd3BC+di7ihLvwU+qar/Hex4RpAMLAaedrsSjgQiROSMquYGNbKhavH5HyL0/n8GdPq97gM6ghFIOAulkvczQL6I/LmIxOPU1dXxVuIJBU8C94jIEjfGh4BnQrg09ivgCyKS7raUuRvnp3Qo+SfgsyGcuHFLiNGqGqeqccAngA0hlrjB+RL8lIjMdn8Nfg4Ixff1CeCfRCRVREqAvwT+EOSYwk7IJG9VbQKux6nvPovz0+q9qqpBDcyHqr6Kc9Hqd8AZnCZu9wU1qNE9AuzC+RJ8FPiMqobSlyE4F1X/U0Q8Po8Xgh1UmPop8B84FwAPAFtxxo4NNZ/Duf5yBHgN+I2qPhrckMJPKFWboKpvEroX/wBQ1Z8APwl2HCNR1VKf5/3Ap91HyPCLMSmIoYzKN06/6T/FSZRB5/deKs79Ef8StIBG4BdnK06zRvMOhEzJ2xhjzPhZ8jbGmDBkydsYY8KQJW9jjAlDlryNMSYMWfI2xpgwZMnbGGPCkCVvY4wJQ5a8jTEmDIV88haRvxGRD/hNKxWRbvf5J0TkngDEsV5EDk3g9gaPYZh5fxCRLhGZPkH7UhHJFZGrRGTfRGzTZ9uD58fdT6nf/I+KyEb3+X+LyH/4zMt21/msz7TVItInIn8ViPNqTLgK6eQtIinAR3D65RjJz4HPuB1FjbW9b4iIN9TGnRzGe4BFqnpkYMJEjCikqi+r6rx3up0B4zw/vjYCq31eXwu04oymM2AVsA1ntJpxnVdjLkchnbxxem97TFX73RL2WRE5j9MLGQCq2gO8xBh9JbhJ4CM4/ZL89RjL3ioih9xBcR8VkQS/+TeIyF53ANUnRaTInT6kdD7M62GPwW/bNe7T/SJyn4hsFZH/whl5BHdanYh0isgmEVkwWtw+Je2TIvIBv3guOg435jfFGRS20d3eihHeqsHzM9r76WMjME9EBvozuRb4V+BKeWvQ4dXAxvGeV2MuV6GevO8CXhSRCuBb7uvpOP1S+3oRuH2Mbd2Dkwz+CfiQiKQNt5D7s/9nON2n5gPpgO/P+hKcrjf/BijC6R/7N2MdyDiOAQBVrXCfFuL0urYUJ3Evc0u63wVuA1KB193jGTFun5J2IU5vjeM5juXAKXf6k4zc0dFdOO/9uKjqQeAcziDD4Iyc9DucYeUGSuSrcZI8jO+8GnNZCtnk7Y5eshxn3MUPAI+q6muq2owztJOvPcAVY2zyr4AfqOpJ4DmcsROH82fA46q63R0t59PAmz7zPwg8oaovur2jPQQsFpGx+nYe6xhG0qCq31fVPqAX5z3ZizN8lAdnFPvxxO1v2ONwt9uIMyhwN07yLvJf2e/8jMW3W9+XgdUiMgOIVNVDwPPAtSJS4O7/dXfZ8ZxXYy5LIZu8cZJSBM4YjIUMHaTWf4DaC0CiWzK9iDvMlqrqQFL4f8ADI9QjFwNHB16o6kFV3eAzvwSo8Znf58aYPcy2fN/fsY5hJM1+r/8ep3/unwNzLyFuf6MdxwWfftS7Gb7rYN/zM8B/pCHc176jpGzEqde+FhiI73mceu/VwDb3ywfGOK/GXM5COXkPJAzB+blf7DOv2G9Zr99ff3+Nz+Cmqvoazs/3O4dZ9jyQM/DCbf3g2+qhEScRD8yfhjPw63F3/77vqW9CH+sYxuPDQClQpqrrGTri9lhx+xvtOMbD9/wMqOPiUdXL3ekDNvJW8n7enfYazhfRjbxVZQJjn1djLluhnLwbcUp9aThDJN3lJqRU4It+y6YDXT4ltkEiUgaswxkSzNd3gc8Ms9//Ad4vIvNFJAP4NyDOZ/4fgPeJyBXuhbeHgP91q0JOAsUikuWW6u/1W2+0YxiPKJySbJx7ofJTQLSIyBhx9+MkZl/DHgcXl/RH4nt+BvwG+LaIzBWRKPcXzydx6taBwXrvfuAW3OTtXpzcgvPltNFneyOeV2MudyGbvFXVg1NnO19V9wKfx2mSdhh41m/xecCmETb1AJAIHBaRkwMP4Os4rRyW+e13J/APOKXaKmAzzsjhA/N345Tkf4GTwObgJFFU9SjwDXedLThN3gbWG+sYxuMXONUUDTjDXX0ep6T76THifhzYDmSN5zjGw/f8+Ez+hruv53CqSr6HM/Taq36rbwSqVPWsz7QNOJ/H132mjXZejbmsSQgNEXkREfkCME1VvzTGcl8HTqrq90dbzkys8Z6fd7B9O69mkIiULrzyqmOf+NI/X9J6W198jp998yufV9XvTFJoQRGyJW/XfwK3isiIY2267YNvJITHlZzCxjw/b5edV2NGF9LJ261H/hFOM7iR3A38UFU7AxOVGTDO8/N22Xk1IcG9ma1aRDpE5HcikjzCcg+ISL17k9yTIpI3mXGFdPIGUNUfquovR5n/U1X9USBjMm8Z6/y8g+3aeTVB597M9xvgb3FaZwnw1WGWmwd8GbgD5ya5NuCbkxlbyCdvY4wJotuAHar6mKo24VyUH+6X5jrgSVXd4raO+hVD78OYcJa8jTFmZAuAnT6v9wE5Pv3zDHgEp68f3Ka6dwNvTGZglryNMZeDVSKyzedx/zjXS8HnLmL3ngSPOx2f6X2q2isin8C5AfAOfO5vmAwT3kpgImSkp2tRQUGwwzDGTILd+/adU9WssZe8WHufl6qmnktap76jD2Czqr5/pGVE5B8Yvr+hXwDxPsvF4OTNpuG2o6qPiMgvcXvcFJE8t+uJCReSybuooIDnH/9jsMMwxkyCrPIZdWMvFViq+jXga/7TReQ+nHrvAXOAalXt8lvui0Cdqv5SVbvEGXTk/8MpoZ+fjJit2sQYY0b2GLBWRNa6LU++Bvx6mOUagQdFpFxE4oAvAHtVdVISN1jyNsaYEbnJ916cXjxP4HRN8XUAEfmIz+ApP8bp4uENnE7o1uH0dz9pApK8A9143RhjJoqqPqGqZaqapKofcy9aoqo/Hxg8RVU9qvpZVc1V1WmqepOq1oy+5Xdm0pN3MBqvG2PMVBeIknfAG68bY8xUF4jWJo/gdGAUsMbrxhgz1U168h5o4+g2Xn8YpwP/6/yXcxvN3w9QmJ8/2WEZY0xYC1hrE1V9BEgA/g6n8Xq03/yHVXWZqi7LSE8PVFjGGBOWAnHB8osDYym6Ddv/A2d4KxtU1hhj3qZAlLwD3njdGGOmukBcsPwxzi2lb+D0EfAGk9x43RhjprpAXLD0AJ91H8YYYyaA3R5vjDFhyJK3McaEIUvexhgThix5G2NMGLLkbYwxYciStzHGhCFL3sYYE4YseRtjTBiy5G2MMWHIkrcxxoQhS97GGBOGLHkbY0wYsuRtjDFhyJK3McaEIUvexhgThix5G2NMGArESDrGGDMh2nuUqsb+S1rnTKt3kqIJLit5G2NMGLLkbYwxYciStzHGhCFL3sYYE4YCkrxF5F4RqRWRdhF5WURmBWK/xhgzVU168haRGcD3gb8EsoBngN9O9n6NMWYqC0TJ+2rgJVV9WlW7gG8DC0UkPQD7NsaYKSkQ7bwfA571eb0U6ARaA7BvY4yZkia95K2qZ1W1FkBE7gKeAB5UVY/vciJyv4hsE5Ft5y9cmOywjDEmrAXqgmWmiPwJ+HfgPlX9nv8yqvqwqi5T1WUZ6VajYowxo5n0ahMRSQReA94AZqtq+2Tv0xhjprpA1HnfDdSr6scDsC9jjLksBKLaZAFwlYh4/B4lAdi3McZMSZNe8lbVB4AHJns/xlwOWtra6Oruoae3l97eXnr7+oiNjaWipDjYoZkAG3fyFpFKIB+/0rqqPjfRQRkzlfX29XG28RxtHZ309vUSIREsmOPcdLx55y7ONJ6jt7ePnr5eenv7mJacxHtvvhGAZ195jcbzQ1tj5WZlUlFSzPmmJk6eOcvCObMDfkwm8MaVvEXkX4GPAkf9ZilgyduYUXR2dZEQHw/AK1u2sq+qGlUdnJ8YHz+YvHt7+/D2e0mIjyN1Wgqx0dGkJCcPLnvF0sX09/cTEx1DTEw0se5fgKqjtezYf4CC3Bwy09ICeIQmGMZb8r4XqFTVs5MZjDHhzuv1cqGlhTMNjZxuaORMQyNtHR3c94H3EhcbS25WJrGxMeRlZ5OakkxsTAzRUW/9G65buXzU7Rfm5o44b/G8SvZX17Bl525uuXr9BB2RCVXjTd41QA5gydsYH319Hs6eP0dGairxcXEcrDnCxs1vApAQH09edhYL58xGRACYWV424TF4PB66e3rp83hYPHcOm3fupr6hgbzs7Anflwkd403eXwFeFZEN+N3Wbk0AzeWkt6+P46frOdPQSH1DI40XLqCqXLvmCmaVl1Gcn8+1V64mNzuLlKSkwaQ9Hl6vl97ePrp7e+juGXj0+jz3fd1LjzvN0//WsGBrli0hIT6eTTt2cecN113S/k14GW/y/hawAdgOTM0B4YwZhsfjofbkKWJiYijOz6O3t49nX36VyMhIcjIzWDKvktysLPKyswBITkpkVlL5iNvr6Ozk9NkG6hsaaW1vH5KQe3p7R1xPRIiNiSEuNpa42BiSExPISk8jLjaW2Fhn+sGaI+zcf5DlC+bR1tGBV5VIS95T1niTdwGwzO0V0Jgprd/r5cTpeqprazl2/CR9Hg+zp5dTnJ9HUmIC77vlRjJSU4mMjBx1O6pKS1vbYLI+fbaB1nbnBuOoqChSU5KJi40lOSmJuNiBxBw7mKAHnsfGxBAbEzNmKTo1JZk/PfcC/V4vq5csnrD3w4SmSyl5f0lEvq6qbZMZkDHB9viGFzh9toHYmBhmlJYwo6yU/Jy36o+zMzKGXc/r9XK+qZnTDQ3Un23gdEMjXd3dAMTFxpKfk8382TPJz84mMz2NiIiJvUeuMDeXgpwcduzbT2XFdE43NABCSUH+hO7HhIbxJu8HgUTg70SkF6eJoABeVU2crOCMmUyqyrkLTVQdq6Xu1Cned8tNREdFsahyDosq51Ccnzdq6drj8XD23HnqGxo4fbaRM+ca6etzOstMTkqkOD+PvOxs8nOySE1JCUj984pF8/njs8+zr6qaw0dr6evr40O33zrmrwQTfsabvL8I/MlvWhJOL4HGhJWOzk72V9VQXVtLc2sbERERFOfn0d3dQ3RSFGVFhcOu19PbS31Do1uqbqDh/AW8XucSUHrqNGaVlZGXk01+djZJiQmBPKRB+Tk5FOTmsHP/Qa5auZxnXn6VgzVHmDdrZlDiMZNnvMn7L4BMVf1HEUnDaX1yH/CTSYvMmAnU1tGBepWU5CQ6u7rZumcvBbk5LKqsZHpJEXGxsReto6qcaTzHsRMnOX76NOebmgGIECErI4OFc2aRl51NXnbWsOsHy4qFC/jjsxtoaWsnLzuLrXv2Mqu8nOjoQPRDZwJlvGdzLfCkiCwFVgKbgaWqenDSIjPmHerq7uZI3XGqjtVS39DI7OnlXHPlajLT0/joe99DYkL8Ret4+vs5WX+GYydOcuzESbq6u4kQIS8nmxULF5CXk0VOZuaQG2tCTX5ONoV5uew6cIDr1lzJ48+/yJ5Dh1k6f26wQzMTaFyfQFW9ICLXAL8HqoDbVbV/jNWMCZoXXt/E4aPHUFXSpk1j5aIFzCgrBZxmd76Ju7unh7pTpzl24iR1p07j8XiIjoqipCCfsuIiSgryiY2JCc6BvE0rFi7gf555jsYLF6ismD7sF5UJb6MmbxE5iHNxckA0MB04KiIdAKpaOXnhGTM+Xd3dVB2rZcHsWYgI01KSWVw5hxnlpWSkpl50sbCtvWOwdH367Fm8qiTExzGrvJSyoiIKc3PC+iJfXnYWxfl57Nx/kA+/53ZioqODHZKZYGOVvD8ZkCiMeZuaW1vZdeAQh48cxdPfT05mJrlZmSybP2/IcqrK+eZmjh13EnajO05q2rQUFs2dQ1lRETmZGVPqjsTlCxfwh6efZe+hKhbNncPB6hrKigpJTAjOxVQzsUZN3qr6cqACMeZSdHZ189KmzdSePEVkRASzystYWDmH9NRpg8t4vV7qGxoHS9gDN8jkZmWyeskiyoqKSJuWEqxDmHS5WZkUF+Szc/8BSgryeXXrds41NbN+1Ypgh2YmQOhedTHGT7/XS0trG+mp04iNjaGjq4tlC+Yzf9aMwS5X+71ejp86zdHjJ6g9eYrunh4iIiIoystlyby5lBYVkBh/+dT/rlg4n0f/91lqT55i7owK9lVVs6hyNqkp4fml1dENRy+xe7zW1rGXCUeWvE3I6+ntZX9VDXsPHcarykfeczuRkZG87+YbB6s52to7OFBdw4GaGjq7uomNiRm84Ficn3fZ1vnmZGZSWljArgMHueumGzh45Ahv7trD9evWBDs08w5Z8jYhq62jg90HDnGguoY+j8dtlz1n8LZyVeX46dPsO1xN3anTqColBfnMmzWDovx8Iif49vNwtXzhfH7/1DPU1NWxcM5stu/dz+K5lWRlpAc7NPMOWPI2Iaff6yUyIoLmllb2HjpMRWkJiyrnDCabzq5uDtYcYX91NW3tHcTHxbFkXiWVMypISUoKcvShJzsjg9LCQnYfOMQHbr2ZM43n6Pda56DhzpK3CQler5djJ06y+8AhsjMzWLN8KYV5uXzkrjtITEhAVTl15iz7q6o5cvwEXq+XgpwcVi9ZTHlRYVg36wuEFQvn87unnub/b+/O4yO96jvff361a9+lbqlbve/74gXjdgBjHEJeZjdk7IQJi0OAIawTJ7lcGJgBJtwwN5c1JmFYBggGgmNMMGYxxnjD7W73vqj3Vu+tXSXV/rt/PI/U1eqSVOpWberf+2W5VVVPVf1KVfWtU+c5zzn7Dh/mda96ZaHLMdMgb+EtIk8CH1XVZ/N1n6b4xeJx9h8+wo59++kfGKS6snJ0xIiiB2InAAAgAElEQVSI4PP52LnvALsPdtDT10fA72f1siWsWrLkspElZmJNDfUsmOu0vtcud9bLPHjkGGuWL51RwyOvJzkPbxG5E3g9YHtIzBWe2rqNvR2HaGlsHG1Fezwezl/sYvfBDjqOHSORSNLc0MArbrmZxfPnFfWh6cXsxnVr+f7J/2DHvv1Ullfw5PNbqaqsGHciLlPc8vEuuNW9n8E83Jcpcs5BNftYtXQJTfX1bFi1guWLFjK7uYl4IsH+w0fZc/Ag57u68fm8LJ0/n1XLlow7h7bJXmN9HYva57Jj337ufd1dbN9TxbPbX2ReW+u0zy1uci/n4a2qHwMQEetou46dvXCR7Xv2cuTESbweD80NjTTV11NbXU0q1ceTv9/K/sNHiMXj1NXUsOXGzSxbuKDk5hQpdjesW8PhEyfZuf8AN21Yx2O//R0dR4+xbNH4S7eZ4lQ03z9F5D7gPoA5rbbyx0yhqvz017/h+KnTBAMBNq1ZxdrlywgGAnQcO87uAwc5fe48Ho+HRe1zWb1sCbObm60fNkca6upYNK+dnfsO8Kevfy1N9fU8t2Mni+fPs52+JaZowltVHwAeAFi/Zo1OsrkpYslkkqMnO1k0rx0RoW1WC3NbZ7Ni8SJisTi7Dhxkb4dzME1VZQU3b1jPisWLKC8LFbr068IN69Zw+PgJXty3n5s3rmf3gYNEY3HKyyy8S0nRhLcpfc6RkB3s2HeAoeFhXn/nHbS2NLN+5Qo6z5zll797mmOdp9IOpllKe+ts62/Ns4baWpbMn8fO/QdYv3I5f/TyPyh0SeYqWHibaxaLxXl+5y72dHQQjyeYO3sWr3zpS6irqebFvfvYfaCDvoEBQsEgG1atYNWSJVRX2cE0hbR57Ro6jh1n+5593LJpA739/XT39rGwfW6hSzNZsvA2Vy0WixMI+PF6PRw6fpz5bW1sWLUSVWXXgYP89PEnSCaTzGpq5IZ1a1g8r936VYtEfW0NSxbMZ9eBA6xfuYJntr1I55mztDY3EwoVz5JuZnx5C29VnZ+v+zK5o6qcOneO7Xv20d3Ty73uJFF3v+bVHOs8xW+efc4d5udj+aIFrF66lMb6ukKXbTK4Ye0aDh07zvY9e7lx/VqOnuzkhd17eOnmjYUuzWTBWt4mK8lkksPHT7Bj337Od3VTFgqxdvlSenp72X/kKPsPHSEai1FXU8NtN25mqQ3zK3p1NdUsWTCP3QcOsmHVCpYtXMCu/QdYt2I5lRW2YEOxs/A2E1JVRIRT587zi989TU1VFbfdeAOhYIB9hw7z3Is78YiwsH0uq5ctpbXFhvmVkhvWrqHj6HG27d7LDevWcPDoMZ7fsZOX33JzoUszk7DwNldQVU6eOcvuAwepq6nmJRs3MHf2LO687VZ6+vrYtnsPg0NDVJaXc9P6taxYvNgWuC1RtdXVLFu4gN0HO9iwaiXrViwjpTr6oW2Kl4W3GRWJRtl/+Mjo6JCyUJDmhgYOHT/BvkOHOXn6DKrK3Nmz2XLjZubPabNhfjPA5rWrOXDkKNv27GHLDZsLXY7JkoW3GfXU1m3sP3yEWU2NLF+0kMGhIV7cu49oLEZFeRkbV69k+aJF1FZXFbpUM41qqqpYtnABew50sHHVSirKyzl19hyhYICGOtvZXKwsvK9TiWSSw8eOs+tABy+7+UYa6+tYtWQxoVCQk6fP8tyLO/B6PCxon8uKRQuZM3uWtbJnsM1rV3PwyFFe2L2Xl2xcz6NPPElTfR133XF7oUsz47Dwvs70Dwyy52AHew8dJhKNUlNVxbHOU2zduYujnadIpVI0NdRz242bWbJgPqGgjfm9HtRUVbF80UL2HHRa35vWrOKprdvoPHOWObNnFbo8k4GF93UkkUzy/Uf+Y3Q9yFAgwKlz53nuxR2EgkHWLFvKisUL7avydWrT2tXsP3yEF3bv5qWbN7Fj736e2bad1995Bz6bQ73o2DMyg0UiUfYdPsyZ8xd49ctuI5VMsXThAs5duEDnmbOICPPaWlmxeBHz2lrt6MfrXHVlJcsXL2Jvx2E2rl7FLZs28NiTT/HQY7/kDX/4Kus2KzIW3jNMPJ7gWGcnh46f4HjnKZKpFA21tfz8t09yvPM0iWSSupoabtm0gaULF1BRZkP8zCWb17it7117eNnNN+L3+xmORCy4i5CF9wyQSCRIqRLw+znW2cljTz5FWShIY30dA+Ehunp7GQiHWbZoAcsXLaKlscHG8JqMqiorWLF4EfsOHWbj6pXMn9M2elnH0WN09fZy47q1FuZFwMK7RCWTSY6fOs2hY8c52nmKzWtWMbd1Nue7u6msKGcwPMRwJMqcWbN46aYNLGyfa/2WJiub1qxi36HDvLBrDy9/yU2j55+9eJGd+w5w7kIXr7rtpZSFro/51911eL8ItAI/Bd6hqgMZtlsIfB24ATgOvEdVf5OruuzdXGJUlcefeY7Dx08Qi8fx+/1UV1awc98Bnt2+AxGhtaWZjatWsqB9LpXlNkeFmZqqigpWLVnMnoMdbFq9anT63i03bKahto7fPvd7HnzkZ9z5B1uY1dRY4GpzS0TqgO8BbweewFkw5lPABzJs/iDwMPAa4E3Ad4C2DNtNC/vuU+RSqRQnTp9h2+49zmlV+gcGKC8rIxjwE4/H6e0foLnRWV39z9/8Bl73qleyZvkyC25z1TauWYWIsHXX7svOX7lkEW989Z14PB5+/PNf0NvfX6AK8+YuYJuqPqSqPcBngbeO3UhENgKNwKdUNayq3wTuFpGcjQKwlvdVGPJm/rpYnoxMy+2nUilOnz/PoWPHOXz8JJFoFJ/Py8XuHk6cPkM0FsPn8zGvrZVF7XOZ19ZGIOCflvs2BqCyvJxVS5ewc/8BBsNDbFy9krZZLYgITQ31vPk1f8ih4yeora4GmMlzoawFtqed3g20iEilqg6mnb8J6AC+KSJ/BBzF6TZJ5qqwogzvVJG+CMYL7WwunyzYVZWUKl6Phz0HD/Hb3z+Px+OhPBTC4/GQSCQ5cfoM8+e0sbB9Lu2ts60P2+TUSzZtoKK8jB379vPvv/gVzQ0NbFy9kgVz5xAKBlm9dAkAF7q6+c2zz3HHlpeOhnkRullEtqadfsBdN3cy1Tj91wCoalREEu756eHdCNwO/CnwF8CfAw+JyCJVnZ5W3Rj27s/CZKE91dtQVcLhQS5e7KKr6yK9F89zvqubG9etwefzceTkSTwipFIpkqkUKxYvZFF7O62zWvDaXn6TJz6vl42rV7F2xXIOHD7Ctj17efSJJ6mtrmLDqpUsW7gAr9dLLB6nfzDMgz/9Gbff8hIWzWvPWU3DEaHzzNRiK9HrBXhWVe8ebxsR+Vvgkxku+jZQlrZdACc3ezJsu0tVv+P+/mUR+QSwDNgxpYKzVLThPR2BWQxUlcHBQbq6LhIMBpk9u5Xh4WF+8IMH3S2EQMCPR4Tf/t5pGFRVVLBm+TIWts9lVlOjDcsyBeXzelm1dAkrFi/iyImTbNu9l8efeY7nXtzJuhXLWb10CXe/5tU8+tsnefSJJ1m/cgUv2bi+pF63qvpp4NNjzxeRd+D0e49YAXSo6vCYTY8B/rTrCc4+xbHbTZuiDO/eSIyf7Ds++YZTsLxx8q9zS5qm77Dw7du3cebMGbq7u4jH4wCEQmX4/X4GB9NHGSler5e66ipmNTWxaN5cmurrZ2r/oSlhHo+HxfPnsWheO51nzrJt916e2badF3btZs3ypfzhbbeybc9eXty7j+rKStYsX1rokqfDQ8DnRGQLTn/3p4HvZtjuUeArIvJOnFEm78TpbunIVWFFGd7N1ZW8986XFrqMCakqvb29nDx5kqNHj3L69GmSySRtbW1cvHiRM2ecua9HeL1eqquraGxspKGhYfTfhoYGQtfJeFkzczQtXMKGl27h9OnTPPXUU7ywaw8v7t3Phg0buOuuu1i3bh0ej4e4O5y1VKlql4i8DfgW0AT8APgMgIj8GfB/q+piVe0RkVcBXwI+DzwPvEnTQ2CaFWV4F4NwOMyZM2fo6uqit7eXvr4+wuEw7e3thMNhOjo6GBwcvOJ68XicxsZGNm3aRGNj42hI19TUWGvazDitra28+c1vpquri6eeeort27fzwgsvcOTIETZu3MjDDz/MjTfeyM0331yyr39V/Qnwkwznfwsn1EdO/x7nAJ28yEt4Z3uEUq4NDQ0Ri8UYHh7m5MmTnDx5koGBAcLhMJFIhGg0Sm1tLcPDwxmDGeDEiRNUVlbi9/tpbW1l1qxZtLe309LSQn19PQFbdNdchxoaGrjrrrt4+ctfzrPPPsvWrVvZvXs3FRUVPPbYY5w8eZLXvva1BG2K4WmT8/Ce4hFKgNN67ejo4Ny5c8TjcWKxGPF4nHg8Tn19PX6/n97eXs6cOUMikSCZTI7+29DQgNfrpb+/n56eHmcIXipFKpWasE6v14vf76eqqoo5c+aM1E5NTQ319fU0NjZSXV1NWVlZybYgjMm1qqoq7rjjDrZs2cLzzz/Ps88+C8C+ffvo7OzknnvuKXCFM0c+Wt6jRygBiMhncVrf44b3hQsX+O53M+0TGJ+IICJ4vV7K3JnyfD4fXq8Xr9dLKBSioqKCBQsW0NjYiN/vJxQK0djYSCAQsEA2ZhqFQiG2bNnCzTffzI4dO3jiiScYGBjg61//eqFLmzHyEd7ZHqE0qr6+nrvvvpuBgQGCwSCBQIBgMEgoFKKyspJQKITP5yupoUjGXI/8fj+bN29m48aNvPDCC7zwwguFLmnGyEd4Z3WEkojcB9znnoyuXLny8kkVik8jcLHQRWShFOq0GqdPKdS5rNAFzAT5CO9esjhCyT1U9QF3m62qujkPtV21UqgRSqNOq3H6lEKdYw5TN1cpH/0O+4HVaafHO0LJGGNMlvIR3g8BW0RkizvyZLwjlIwxxmQp5+Gtql3AyBFKJ4HzuEcoTSCb2b4KrRRqhNKo02qcPqVQZynUWPTycpDOeEcoTbB90T+5pVAjlEadVuP0KYU6S6HGUmBj7YwxpgQVVXiLyEIR+Y2IhEVkr4i8rNA1jSUiHxWRThEZdGtdXuia0onIkyJys/u7iMjnRaRPRE6LyLsLXR9cUWO5iHxDRPpF5KyI/KOIFMVMRul1jjn/f4jIo4WoaayxNYrIvSJyzH3OfywitYWsb8SY57xJRB5ya7zgPuc5Wy5spiqq8MZZwPPXQDPwP3GmViwaInIT8CFgC9AAPAd8uaBFuUTkThH5KnBr2tlvB14JrATuBP67iGwoRH0wbo33A8txalwP3Ai8pwDljRqnzpHLNgAfzn9VV9RxRY0ish5nRrs/AeYAAeC/FqbC0Zoy/S0/iTOEeBbOc347YMfNT1HRhHchFvC8CklAubSvwAt0F66cy9yKU1f6Uav3An+vqqdUdRfOHDNvKURxrkw13gF8TlU7VfUs8C84b+ZCylQn7jeCr1EcO9wy1fh24Kuq+ow78dufkzbrXYFkqjOBkz0eQCiu91HJKKYpYfO+gOdUqepWEXkYOOieNYzTcig4Vf0YgIi8Mu3ssVMT7MFpiRfEODW+EziRdnozcDqfdY01Tp0AfwP8CtgHFHSlgXFq3AQ8LiLbgHacQQLvK0B5o8ap85PANi4F+q9w5jsyU1A0LW8uLeD5c2Au8L9xFvAsmpUKROR24PXARqAK+AZF1rUzRjXQl3Z6wD2vaKjqHlUdEJEKEfkC8AacLrOiIiKrcb61fKLApUykEXgTcDfOh0s7mddlLLTP43Q51uJ0mc2jwF1lpaiYwhvcBTxVdVhVv4yzJlwxzYPwOuDbqrrdnVTrfmCziNQXuK7xXDY1AVBO5oVTC0pEXoHTml0IbFTVowUu6TIi4gG+DryvBI4M/idVPaSq3Tgh+YpCF5TB64BPqGqfqh4AvoCzT8ZMQTF1mxwjzwt4XoUhnP65EQmcfvBiqjHdyNQEI+vorSRHK1lfLXehjn8F3q2q3y90PeOoAjYAP3OnDvYCHhE5q6qzClrZ5Y6R9h6i+N4/I4bGnI4D4UIUUsqKqeX9KNAqIu8UkTKcvrqcLuB5FR4B7hWRjW6NnwAeLeLW2HeAj4hIvTtS5h6cNfiKyceBDxZxcOO2EP2qGlLVEPAu4BdFFtzgfAi+R0SWu98GPwQU49/1J8DHRaRWROYBfwn8qMA1lZyiCW9V7QFeBfwFcA7nq1VOF/CcKlV9Emen1YPAWZz+uncUtKiJfQ14EedD8IfAB1S1mD4Mwdmp+s8ikkj7+VWhiypR3wC+grMDcC/OIrhfLGRB4/gQzv6Xw8DvgO+p6g8LW1LpkSLKRmOMGZeIzPfO23I0ePt/m9L1Eod/SeyJT39YVT+fo9IKomha3sYYY7Jn4W2MMSXIwtsYY0qQhbcxxpSgYhrnbYwxEwpF4rSe7p/Sdfp7hjmXo3oKyVrexhhTgiy8jTGmBFl4G2NMCbLwNsaYEmThbYwxJajow1tE/kpExl39RUTeJSL35qGOl4nI/mm8vfkiEhnnsh+JyLCILJqm+1IRmSUifyAiu6fjNtNu+69E5C3u41ERuWJSfRH5N/ey+SLyYRE5JCKBtMtFRH4vIn+fdjufHXMb/3lk3cgst8nL68KYQinq8BaRauDPcCZVGs+3gA+4s/xNdnufFZGUFNmiwRm8AVivqodHzpiO5eBU9QlVXX2ttzMiw/OTAG4RkZq0bcpx1vxMuGf9I840pe9Pu6l7gdlcWjggBbx/kudpsm2yfl0YU4qKOrxxpt58SFWTInK7iOwUZ9X2B0cWQFDVKPA4zvp943LfxH+Gs0LP+yfZ9o9FZL84K5r/0A2g9MvvFJFd7urXj4jIXPf8y1rnGU6/S0TOiUgXzjSYme77kPvrHhF5h4g8LyL/grNsFO55x0VkSESeEZG1E9Wd1tLudFvI6fVc8Tjcmn8vzoreF9zbu3GcP9Xo8+OeTuIsIP3Hadv8EfCkexmqmgDeC/ydiDS6z8uncaaFHVkWKw58lYlnxJtwm2xfF8aUqmIP7zcCvxaROcB3gXfjrIo9DPxD2na/Bl47yW3di/Nm/jjwn0SkLtNGIjIf+CbO3NetQD3wwbTL5+HMm/xXOMu17cBZ2HdCIrIY+Jz7mBbhLIxwBVVd7P46B2fKzE04wb3Zbel+AbgLZwmpp9zHM27daS3tOXDpWIVJHscNwCn3/EcYf1myN+L87dP9yD0/fZvL5mpW1d/izOn8CeAjwN4MU4J+HFg+UZdZFttk87owpiQVbXiLs/TUDTiL5t4D/FBVn1bVXpw37evSNt8J3DLJTf4X4Muq2gk8hrPwbSZvBR5W1RfcluB7gd+nXf4nwE9U9deq2o8TQBtEZLKJ+d/iPobfuY8h27UFz6vql1Q1DsRw/ia7gFk4XRENWdY9VsbH4d7uBZwV3SM44T137JXHPD/pHgFeLs6alEGc1eEfyXD/H3Vr/iDOc3MZd/XzDwL/ICKVmR5AFttk87owpiQVbXjjhJIHZwHdecB9IhJxd/LtB6rk0uLE3UCF2zK9gjhrJKqqPuWe9f8B7xunH7kdODJyQlX3qeov0i6fBxxKuzzu1tic4bbS/75zuHyV9GxXSO8dc/pvcBZX+Bawagp1jzXR4+hOWwQjQuZpFNKfn1HuB8HvgFfjLK7xvKr2jb2yqp7D6cJ6RFUPZipQVX8A7Mb9dnEV20z4ujCmlBVzeI8EhgDngc+nLUNVA9zktgzB2XmV/u9Y7we+NHJCVX8HXMRZCX6sLqBl5ISIvGTMqIULOEE8cnkNzqrdJ9z7T/+bpgf6OZyAHZH+e7b+FJgPLFDVlwHpIzsmq3usiR5HNtKfn7FGuk7eCPzbBLcR5sr1DMd6L87qShm7mSbZZrLXhTElq5jD+wJOq68OJwzeKiIrRKQCp7/7b9K2rQeG03Z4jRKRBcBtOOs5pvsC8IEM9/tvwN0iskZEGoD/BYTSLv8R8GYRucX9qv4J4D/crpBOoF1EmtxW/dvGXO+NbqjWAn+X1V/hcj6cxW9D7o7K9wB+EZFJ6k7iBHO6jI+DK1v640l/fsZ6GKfV/Rrg37O8vYzcETf/gNM3P9Vtxn1dGFPqija83VEJvwfWqOou4H6cvtPzOF/535O2+WrgmXFu6n1ABXBARDpHfoDPAC8Vkc1j7nc78Lc4rdqDwLPA19Mu34HTkv82ToCtGKlFVY8An3Wv8xywNe16u4AP4wyrOwD8fGp/EXDvsw/nb/AV9/aWAu+dpO6HgReApmweRzbSn58Ml3W797dXVc9P6RFm9lmcrqKpbjPR68KYklbUa1iKyEeAGlX92CTbfQboVNUvTbSdmV7ZPj+FYq+LmUVE5le03Hy0dcP9U7pe/+knOLfzf9kalnn2z8Afi8i4846LiB/4Q5ydXya/Jn1+CsVeF2amK+rwdvuR/wlnSNl47gG+qqqT7fgy0yzL56dQ7HVhZrSiazGNpapfneTyb+SpFJPBZM9Podjrwsx0Rd3yNsYYk5mFtzHGlCALb2OMKUFF2efdUF+vc9vaCl2GMSYHduzefVFVmybf0kykKMN7blsbv3z4x4UuwxiTA00Ll0x2wJXJgnWbGGNMCcpLeIvI+0TkjLtIwCMiMjsf92uMMTNVzsNbRFYD/w1n/u1WYAD4+1zfrzHGzGT5aHnfhjNn83Pu7G7f4fJ5qI0xxkxRPnZYfg1nDgzcqUrvAZ7Ow/0aY8yMlfPwdldoQUTeBTyAMwf0HWO3E5H7gPsA5rS25rosY4wpaXkbbaKqXwPKgb8GHnJnfUu//AFV3ayqmxvq6/NVljHGlKSct7xF5O+A46r6f1R1WES+Avy/QDXO0l3GGJMVifXh7d4xpet4BrNd2a+05KPlfQG4X0QWugsGfwTYpaoW3MYYc5XyscPy6zhLbD0NlLn/vjEP92uMMTNWPnZYJoAPuj/GGGOmgR0eb4wxJcjC2xhjSpCFtzHGlCALb2OMKUEW3sYYU4IsvI0xpgRZeBtjTAmy8DbGmBJk4W2MMSXIwtsYY0qQhbcxxpQgC29jjClBFt7GGFOCLLyNMaYEWXgbY0wJsvA2xpgSZOFtjDElyMLbGGNKkIW3McaUIAtvY4wpQRbexhhTgvIS3iLyNhE5JiKDIvKEiCzLx/0aY8xMlfPwFpElwJeAvwSagEeBf831/RpjzHQQkTtFpENEwiLyoIhUjbPde9xGap+IPCAigVzWlY+W9yuAx1X1Z6o6DPw/wDoRqc/DfRtjzFUTkTrge8BHgTmAAJ/KsN0twP8FvAZYCCwF/jqXteUjvB8C/kva6U3AENCfh/s2xphrcRewTVUfUtUe4LPAWzNs9zrgu6q6R1W7gH8E7s5lYTkPb1U9p6rHAETkjcBPgPtVNZHr+zbGmGu0Ftiedno30CIilWO2CwDRtNMCLMhlYfnaYdkoIv+O82n0DlX9YoZt7hORrSKytau7Ox9lGWOuHzeP5Iv7c1+W16sG+kZOqGoUSLjnp/sl8BYRmS8ijcD7Ae90FD4eXy5vHEBEKoDfAU8Dy1V1MNN2qvoA8ADA+jVrNNd1GWNKTzLWz1DP7ildJxY+CfCsqo7bjSEifwt8MsNF3wbK0rYL4ORmT/pGqvqIiGwAngJiON3FJd/yvgc4o6pvHy+4jTGmkFT106rqG/uD0/BcnbbpCqDDHXwxSkQWAj9W1TZVXQDsAp7JZc35CO+1wB+ISGLMz7w83LcxxlyLh4AtIrLFHXnyaeC7GbbbBPxARFrc41juB76Wy8LyscPyfarqyfCpdjzX922MMdfCHTnyNuBbwEngPPAZABH5MxE55G76I+BXwF7gt8AXVfVXuawt533exhhTylT1Jzij5Mae/y2cUEdVU8D73J+8yDq8RWQl0MqY1rqqPjbdRRljjJlYVuEtIv8A/GfgyJiLFLDwNsaYPMu25f02YKWqnstlMcYYY7KT7Q7LQ0BLLgsxxhiTvWxb3p8EnhSRXzBmThJVffu0V2WMMWZC2Yb354BfAC8AqdyVY4wxJhvZhncbsHnsUUXGGGMKI9s+788BHxtvEnJjjDH5lW3L+36gAvhrEYnhDBEUIKWqFbkqzhhjTGbZhvffAf8+5rxKnClejTHG5Fm23SZ/gTMP93Gc0SYfAZ4HDuSqMGOMMePLtuW9BXhERDYBNwHPAptUdV/OKjPXjSFvqNAllLzyZCSr7exvPXNkFd6q2i0itwM/AA4Cr1XVZE4rM9cFC5PsdVzomXyjSdmAsZliwvAWkX04OydH+IFFwBERCQOo6srclWdmqlIL7ekJzumx/6Kt3W0mb3m/Oy9VmOtKsQf3dAZ1LoL2YE908o2u9T4uJEEVRFjadO1LMS6tC05DVSbdhOGtqk/kqxBzfSi24J5qUE9HGE85fFWRZBxJJvCkEpzvjuLTBMPeMsK+KrypBAuGjuDVBB5VBAWU88EWLgab8aeiLB/Yh7iXjfxsi7VzVJupYYg7fLvc88GDchPKs8nFHNVmes/38TLvXhJ4EZ+XFB6S4uVU2VwG/NWEksM0R8+RlEuXJcVLv7+GBS1lSDLB4bNh1ONFPTldk/e6YosxmLwpdHBfTYv6asJ6wnBWdUI4PgziYd+As7btnKET+DWOTxP4Ugl8mqDHX0dneTuiKW7qeW70JkaWLd+XbOVIqgofwnLfIDH1EsfjRrOHcxHhuEIQodkbIhzxoCqkEFIqnAiX0Rn10eMJsrOm5bLLFOHgUDXn4z4GfUH2VTUR8CTxi/NTGUxyOqJcUJgtEVZ7z+KTy2fO2Fu1ioMXAjREu1gSPjjlv6OZmIW3yYt8B/e1dH1MFtiTtpzTWsqpYDkA8WMHqUgMEkpF8Ln7+rv99VC1HIDm6HmSKSWGj5j6GCTA6ViAIwMAHsSzkLh6ieEjio8T50MMJf3E1Af4+Ao3XlFG2+l+YIgI8FvaM5ba5s4zd6Cz+bLzvd07CHGSdiBZv469GeHUSOkAABVKSURBVCYVPdXqfIx00sTzNCEofkmOhnx1k5ckcJYqzspS/Djnm+lh4W1yqlRCe6LAzhjWbkCrLwBAsOc0/qFe4sPDhJIRvKQY9Fawu2YdAEs0QcLj50isigFCDGiIgXgZA0POzR1hE85By9B55sq3ZSdzLjvddrqfCuIZ6/V275js4V5hqGf3+Bf27Ka8bvUVZ7exbtyrnGqtpufMyCkfzgHaZjpZeJucyWdwT3eXyNjA9oe78YV78cYjeGLDeGIREuJlW90NACwa7KMyMUTMG6LfV0PEG2LYW84Rd/mSIyy77PYyBXQ6p9U8vksBrfi84PdDMnwI8bgfAeJ8EIj7v5HzZOQGBBLRfsTdLlQNIjJyNWcTEVSVRCJFYngriUQK8VU7p5MpdJxQh4mDvWPCR2aylbfwFpEngY+q6rP5uk9TOPkI7mkP7O4InkQU33A/5ZEBvJFBBuasAY+HwQvdtETPEfEGiXjKiIRqiXhCoyMyDlcuHQ3qscYL6rbTffg8KfzeJH5fioA3id+bJOBL4m9OEox14veB3wcBP6O/+zwR/H4PAb8Xv9+DxzOSuIun/Pe4FslkikQiTiLpBHzS/TeRSKGeF0kkIZnkin8tvKdHzsNbRO4EXg/cmuv7MsUh18E9XaGdSiY41BsHjwf/wEVqzx3Ck3S6IlQ8DHgrOXY+QswbRMrbOV4+f7RFm01Qe0hR7YsyLzjAvHAvlcEYlcEoFcEYlcEYwbkJPJL5dkZrTCmxeJJ4LEUsniQajRKOJYnFEsRG/3V/jydIpZzDMnTk6AxVZ+yJAujIf+5Fl2+reumQjpHtRQSv14PP58Hv8+LzefCl/ev3ea44z+fz4PcOUlnmd68r+NzbAHho4odsspSPlvet7v0M5uG+TB6VUreIqpIcDpMY7CM+2E9isI/k0CD+tpXEKxtI+YPEK+pIhKpIlFWTDFZw8OKl0RMqlw9xW9gCqBJIRQmlovT1RKmUCDfPiVJJlAqJUEbssnBOKfQnQ/QlQvT1hojE/cQSXuJJD/Gk1/3dSyzpJZ5wztOLu3COjRtRPvpbpn7q2HD3lP9OVytQVn/FeeN1oyTr1yEoXo+t5TJdch7eqvoxABF5Za7vKx9GAivbuSQKpdDD8q7WdB0gs/fMRRKD/Xj8AXyV1SQjQ/TudHrsxOvDV1lDoK2J2sYajkQgGaoiPPvyfumlTV7QFJ1nByhLDhNKRQgmowRTUYKpCIFUDM9IO9bntGhjngBRT4ghTw1HhoMMaogwQQY1yDBBFKHzfNrbTpzr4gMyHMfSllo/7mMM1jv9yuk7KMvrJv67TLhjMguZwjlZf6l/e+xYkpERKWb62Q7LLI0NwyFvqGgDvBSCe7pCeqR1rarEei4Q7+0i1t9DKuIM4wg2t1FVWY03VE7lopX4KmvwhspHd9QBLC1za7oYxhsdxBsN44s4/3qjQ9SnzRAREz9RT5BBXxVRT5CoJ0TEGyTqCRLzBFFJm6iz0snmSvcHnO6WObMTWT++TrIIv9Yto79OtqMzWD/+jsRsjITzRKGc/vjmcOVjtRHf06NowltE7gPuA5jT2lrgai5XCmEIxVnndIR0pv5qVSUx2E8qFiHY0IKIED7egcZj+KrrCDW34q+swVfhLP4kIoSaWkevm4xGSAwNkAwPkAgPkBgapC56adKmlNdPIlhJvL6OZLCSRLCclD8E7hGCHqDM/Ul38MLE45gXXjlcehLZBz0As8sn32YCmXauZvqwGQnlqTyekcPsryG8u5NX0WBKJoYBzl/93RanoglvVX0AeABg/Zo1OsnmeVGMYZhJMdSZy4NiRiSjEadl3ddFvK8bTSYQf4BAfTMiQs2KDXgCIcRzqfWrmiIxNJgW1M7vmrg0RtoTKsdXUY2vuRVfeRXHE8HR8dtTdbXzgIwX+lMP+2uzsCXzh8VUH1cu5jJR1X5/oJro0AVEsq9nOHwG4OlpL6jAiia8i0m2YVjorpNChHauWtKZpJIJ4v09BGoaEI+H4TMniJw9gScQJFDfTKC2AX913WgXiCdYRnJokPhgH4mwG9ZDg6DuTjLx4CuvIFDfhK+8Cl9FFd7ySjzey98GS8jP5E/pxgvHYp3QaXljYfqy/YEq4rEBAsHarLZXVdzW+tGcFlYAFt5piqEFm6181XqtYT2VuUFUlUS4n3hfN7HeLhKDfaBKzarN+KtqKZs1l1BL22iftaaSJAb7iZw/RXygl8RAH5p0Wo7i9eGrqCI0a86loA6VX9Yqn8jSuuC4AZ6PQJ2OcFzSNMneyxIUCNQSj/VlHd7J5DBeb4h4bKAovs1Pp7yFt6rOz9d9Xa3yZKToA7wYx1Bfi2Q0AgLeQIh4fw/9+7YB4K2oomz2PPw19fgqnCATr5fEwCDR86edsA73jw5S9pZVEGxowVdVi7+qBk+w7LKdklcjlyF9LeFcaqE8nd9O+3r2LguWNR3I9mD7eLQPf5ZBX2qs5T3G2BfaRGGZ7y6TXAV3LgN7bEilkkn6e7o4fPwEsd4uksNhymbPo2LeEvxVtVQuXk2gph7x+UlFh4kP9DJ47ACJgV6Sw2HnRkTwVVZTNrsdf1UtvqpaPD5/hnvPz2PKlVIL6XQ5fG90JBPDqGpWH87xWB9D4VO35aqYQrLwnkT6i7CQrfLpvO98t64T8Tg+vx9VZevjjxGLDCMeDzX1jdTOX0h9yyzKyisID/TRH/TQf/ow/d1dxKLO397r91Nd10D1vPlU1zdQVVOHxzuz5oUu5aCG/DVkVFVDZU0kkxF8vrFjfa4Ujw0AbM15YQVg4T0Fhdo5OR3Bnc/ATiYT9HVdpOf8OXovnAMRNr3sDkSE9qXLCQRDVNTUMjwwQH9PF0d272Cgp5uk218dLCujpqGJ6voGqusbKK+qvuYukFwr9fC9GoV6P/gDNcRjfZOGdyqVAGdyrRm5cKeF9wyWr8BO/wp78tABThzch6ZSeDweahqaqG1qYTg8yEBvD+G+Ps70HGFooH90Lo26ujqWLFlCS0sLzc0tVFZWTnR3poCK4cC0wf7DLy+vmPN4WfmsCbeLx/rxB6ryVFX+WXgXuattdec6uBOJOH0XL9Bz4Rw958+x+qZbKauspKKqmuXLllNVVU0qleTixQucO3aIo3t3AuDz+WlubmLJwoU0NzfT1NRMIHB1Y6pNfhRDYI/xfDw++SimeKwPf2Bm7qwEC++iVozBPTQ4wOFd2+nv7kJV8fn8tLS04I/009d1lq7z57l48QLJpHPQSWVlJbNmzaa5uZnm5hbq6urwZDlczxReEQY3qhoOBGpIpZJ4JlgTMx7rY7D/yLw8lpZXFt5F6Fr7uEf6X7MJ8Ux9tapKf38/Fy9e4MIF52fBggWsXr2GSFUZh7fHaW1tBYSBgX5Onerk1KlORISGhkaWL19Oc3MLzc3NlJfbCiqlrFiHzvoD1STi/QSCmfc1OAfnRAFO5rWwPLLwLiLT/UbJdidaJBIhEolQW1tLKpXiwQe/z/CwM7GT1+uloqKS06dPcepUJ11dXUSjUfr6+ggGgzQ3t7BkyVKam1tobGzE57OXlMk9f7CGWLRv3PBOJobw+spn5ME5I+ydloVibX1cra6ui5w7d85tVZ9nYGCA+voG1q5dR09PN4FAgFTKmfg/mUzS399HODxIXV0d8+bNG21VV1fXFP0oEDMz9XXvWRQMNR4e7/JYrI9AoCafJeWdhfcYMymo07s/+vv7Wb9+A0NDQzz99NNcvHgBr9eLx+NBROju7uI3v/k1IkJ1dTWzZ7dSV1fn/tRTWVlpfdWmmBxNJiPjHqwTj/UxHD59SwHqypvrNrxnWkiHw2HKy8vxeDwcPnyIvXv30tfXSzzuzJ4nIuzZs3v0NEAwGKSurj4tpOuoqam1rg9T9JyDdZpJJofx+a6cBtc9OGdb3gvLo6J8l6ZEphyu2ewVL5bAvtbRIMODg1w8e4pwXy/hgX4iQ2E0laK2qYV4LOqMoU5dWm7K5/NRV1dPfX39aEu6rq6OYLA4Z6wzJhuBYA3xaN8V4Z1KJRDxoKr5nRoyz4oyvK9GIYN5qmGcaaa99BnsltT4SUaGnDUXw/0kBvtJRobwVdchCvHBPlLRKw8aGx4coKyyklnt8ymrqCRU4Yy7DoQun6Rp1nV4NKCZeQb6Dm0pq2h7sqxi9mXnO+O7Z3Z/N8yg8M616Q5ogMPno4SSw1QkwlQmBoh5Aqh4OBQfoC7Re8X1oxfPkvIFSflDJGuqaah1lvfyhMrxBstGpzuNuz/9AOEEhAeASxMqZXoshTi8uxjHEJuS8kLC6R65TPw62FkJFt4ZZRvU2QT0wfMJ/BqjPDGER1OoCOWJMG2RU9xA5pW0o+JnyFPGsLeMsLeCYV8FEW+IiCfEkuZLs+cNjfwSgaVlV+5MnGz2u3wFtoW0yQVVHQ4Ea0mlEng8l6IsFu1jsP9oWwFLy4uiDG+Pat7m1s4mqMeG9BUBfSGJaApfKg4CZckIc4ZOEEpFuEnjZBpMl0SIegIMe8oY8pYz4Ksi4i0j6g2REi9Lm7xXLF4L488xnSmo89matoA2heAPVBOP9RMM1QPOzvtUKoaqni5waTlXlOE9Yipza2djoqDOthUN4NMETdFzVCcGCCWH2ZyK4XVb0elBrUBCfEQ9QYY9ZQz6Kwn7qhj2hEh6nBb00iYvISDTI8sU1OO1pvMR1BbQptiMzDA4Et6JRBif7/o4qreow3usaw2PdfVlGT8AOi70jIaiqhKLDLP30FFmDfaSigyTikdJxuPcpAoiiF7q7lAA8ZDyhUgGyohX1JMMlJEKlJPyBcDdUegFatyfiUy0eksug9uC2ZSivu7d7YFQw4mR0/Ho9bGzEkokvMMnDk7bbSWSKcLRGGd7+rkYh/7BQcJDw0RiMZLJxMiqWpcREXxeH4FgkLrmWQTLyvEHAlRUV3MiQtbrIl6tifquJwtuC2Uzk6nqSX+gavRgnXisj+GhMzcUuq58KOrwniy0U6kUQ7EYg8NxhmJRwtE4ZX4/KVW6w0N0DYSJJ5LEkkli8SSJVOYdhCJCwO+noryK+XPmUF5TTyAQoKqqitraWvx+/7hdLivScnUqi+3mgwW3uR74fOUkE0P4/BXE44MAOwpdUz4UZXgnVNl78jTHT3QRiUSIRqPEYjHi8TiVlZUkk0nC4TCxWCyr2/N4PAQCAWoqKli6dCktLS0Eg0GqqqpoaWnJ6ojC9vY5k25ze1bVGGOmkz9QQyzWh8cbQMSLqsYnv1bpK8rw7u7u5vHHHx89LSJ4PB68Xi/BYJD6+vrReTvKysooKyujoqKCyspK2traqK6uJhgMEggEbD4OY2a4gb6Ol5RVtD7j9QQIBK+P/m7IU3iLyJ3AF4FW4KfAO1T1ytH1rqamJt7//vcTCoUIhUI2c50xZiLb47EBPJ7AdbOzEiDnzVIRqQO+B3wUmIMzmu5TE13H7/dTV1dHWVmZBbcxZkKqGhXxEI100du1s6XQ9eRLPvoU7gK2qepDqtoDfBZ4ax7u1xhznfAHatBUAlU9X+ha8iUf3SZrge1pp3cDLSJSqaqDebh/Y8wMFwjWgWYeTTZT5SO8q4HjIyecrziScM8fDW8RuQ+4zz0ZFZHdeajtWjQCFwtdRBZKoU6rcfqUQp3LpvsGey6+eN31r+YjvHuBspETIhJw7/eygdOq+gDwgLvNVlXdnIfarlop1AilUafVOH1KoU4R2VroGmaCfPR57wdWp51eAXSo6pUTUhtjjMlKPsL7IWCLiGxxR558GvhuHu7XGGNmrJyHt6p2AW8DvgWcBM4Dn5nkag/kuq5pUAo1QmnUaTVOn1KosxRqLHqimWZiMsYYU9Ts2HFjjClBRRXeIrJQRH4jImER2SsiLyt0TWOJyEdFpFNEBt1alxe6pnQi8qSI3Oz+LiLyeRHpE5HTIvLuQtcHV9RYLiLfEJF+ETkrIv8oIv7JbiMf0uscc/7/EJFHC1HTWGNrFJF7ReSY+5z/WERqC1nfiDHPeZOIPOTWeMF9zr2FrrHUFFV4Aw8Cvwaagf8JfKew5VxORG4CPgRsARqA54AvF7Qol4jcKSJfBW5NO/vtwCuBlcCdwH8XkQ2FqA/GrfF+YDlOjeuBG4H3FKC8UePUOXLZBuDD+a/qijquqFFE1gOfB/4EZyqKAPBfC1PhaE2Z/pafxBlCPAvnOb8duKcA5ZW0oglvEdmIc4DBp1Q1rKrfBO4usk/kJM7iOSPj471Ad+HKucytOHWlH7V6L/D3qnpKVXfhzDHzlkIU58pU4x3A51S1U1XPAv9C4WfXzVQn7jeCr1EcO9wy1fh24Kuq+ow78duf4wwUKKRMdSZwsseDM9dRMb2PSkYxTQm7CegAvikifwQcBd6jqsnClnWJqm4VkYeBkVUihnFaDgWnqh8DEJFXpp09dmqCPTgt8YIYp8Z3AifSTm8GCrp47Dh1AvwN8CtgH7A033WlG6fGTcDjIrINaAd+AryvAOWNGqfOTwLbuBTov8KZbdRMQdG0vHFa3bcDPwfmAv8beEhEcr+EfJZE5Hbg9cBGoAr4BkXWtTNGNdCXdnrAPa9oqOoeVR0QkQoR+QLwBpwus6IiIqtxvrV8osClTKQReBNwN86HSztOUBabz+N0OdbidJnNo8BdZaWomMIbYJeqfkdVh1X1y4CfHMyDcA1eB3xbVbe7k2rdD2wWkfoC1zWey6YmAMoZMy1BMRCRV+C0ZhcCG1X1aIFLuoyIeICvA+8rgSOD/0lVD6lqN05IvqLQBWXwOuATqtqnqgeAL+DskzFTUEzdJsdwwhpwRkrgfLgU05tlCKd/bkQCpx+8mGpMNzI1QYd7eiVFtr6fu1DHvwLvVtXvF7qecVQBG4CfufPLewGPiJxV1VkFrexyx0h7D1F8758RQ2NOx4FwIQopZcXU8n4UaBWRd4pIGU5f3XEuBU8xeAS4V0Q2ujV+Ani0iFtj3wE+IiL17kiZe4AfFLimsT4OfLCIgxu3hehX1ZCqhoB3Ab8osuAG50PwPSKy3P02+CGgGP+uPwE+LiK1IjIP+EvgRwWuqeQUTXi7CzW8CvgL4BzOV6s3aREdAqqqT+LstHoQOIvTX/eOghY1sa8BL+J8CP4Q+ICqFtOHITg7Vf9ZRBJpP78qdFEl6hvAV3B2AO4FnsdZfrDYfAhn/8th4HfA91T1h4UtqfTY4fHGGFOCiqblbYwxJnsW3sYYU4IsvI0xpgRZeBtjTAmy8DbGmBJk4W2MMSXIwtsYY0qQhbcxxpQgC29jjClB/z/QrbUjMox4IAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,10))\n", + "levels = numpy.arange(-1,1.1,0.1)\n", + "\n", + "\n", + "ax1 = fig.add_subplot(511)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(ysu_xx_geopot-4, ysu_gg/9.81/1000., \\\n", + " ysu_cldfra_diffs_latlon_mean.T*100., \\\n", + " cmap=cmocean.cm.balance, extend='both', levels=levels)\n", + "\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "\n", + "ax2 = fig.add_subplot(512)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(temf_xx_geopot-4, temf_gg/9.81/1000., \\\n", + " temf_cldfra_diffs_latlon_mean.T*100., \\\n", + " cmap=cmocean.cm.balance, extend='both', levels=levels)\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('km', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax3 = fig.add_subplot(513)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax3.contourf(acm2_xx_geopot-4, acm2_gg/9.81/1000., \\\n", + " acm2_cldfra_diffs_latlon_mean.T*100., \\\n", + " cmap=cmocean.cm.balance, extend='both', levels=levels)\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax4 = fig.add_subplot(514)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax4.contourf(uw_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " uw_cldfra_diffs_latlon_mean.T*100., \\\n", + " cmap=cmocean.cm.balance, extend='both', levels=levels)\n", + "ax4.set_ylim(0,3.25)\n", + "ax4.set_xlim(6,18)\n", + "ax4.set_ylabel('km', fontsize=fontsize)\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax5 = fig.add_subplot(515)\n", + "ax5.tick_params(labelsize=fontsize)\n", + "contour_plot5 = ax5.contourf(mynn30_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " mynn30_cldfra_diffs_latlon_mean.T*100., \\\n", + " cmap=cmocean.cm.balance, extend='both', levels=levels)\n", + "ax5.set_ylim(0,3.25)\n", + "ax5.set_xlim(6,18)\n", + "ax5.set_ylabel('km', fontsize=fontsize)\n", + "ax5.set_xticks([i for i in range(6,19,2)])\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax1.text(s='(a) $\\Delta$ cloud fraction (YSU)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ cloud fraction (TEMF)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ cloud fraction (ACM2)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ cloud fraction (UW)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "ax5.text(s='(e) $\\Delta$ cloud fraction (MYNN)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax5.get_position()\n", + "cbar_ax = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.045, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot1, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('%', fontsize=fontsize)\n", + "\n", + "fig.savefig('figures/cldfra_diffs_PBL_schemes.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/.ipynb_checkpoints/gp1_wrf_MANUSCRIPT_energy_fluxes_cape_skewt_AMAZON_REGION-checkpoint.ipynb b/.ipynb_checkpoints/gp1_wrf_MANUSCRIPT_energy_fluxes_cape_skewt_AMAZON_REGION-checkpoint.ipynb index 3663199..a362723 100644 --- a/.ipynb_checkpoints/gp1_wrf_MANUSCRIPT_energy_fluxes_cape_skewt_AMAZON_REGION-checkpoint.ipynb +++ b/.ipynb_checkpoints/gp1_wrf_MANUSCRIPT_energy_fluxes_cape_skewt_AMAZON_REGION-checkpoint.ipynb @@ -9,11 +9,11 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2018-06-29T23:42:47.271953Z", - "start_time": "2018-06-29T23:42:43.880994Z" + "end_time": "2018-08-16T14:22:27.703401Z", + "start_time": "2018-08-16T14:22:27.685632Z" } }, "outputs": [], @@ -55,11 +55,11 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2018-06-29T23:43:00.967867Z", - "start_time": "2018-06-29T23:43:00.958378Z" + "end_time": "2018-08-16T14:22:27.793160Z", + "start_time": "2018-08-16T14:22:27.707845Z" } }, "outputs": [], @@ -76,24 +76,24 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T05:54:53.039819Z", - "start_time": "2018-07-01T05:54:53.035730Z" + "end_time": "2018-08-16T14:22:27.892725Z", + "start_time": "2018-08-16T14:22:27.795552Z" } }, "outputs": [], "source": [ - "# lon_lo = dry_lon_lo\n", - "# lon_hi = dry_lon_hi\n", - "# lat_lo = dry_lat_lo\n", - "# lat_hi = dry_lat_hi\n", + "lon_lo = dry_lon_lo\n", + "lon_hi = dry_lon_hi\n", + "lat_lo = dry_lat_lo\n", + "lat_hi = dry_lat_hi\n", "\n", - "lon_lo = wet_lon_lo\n", - "lon_hi = wet_lon_hi\n", - "lat_lo = wet_lat_lo\n", - "lat_hi = wet_lat_hi" + "# lon_lo = wet_lon_lo\n", + "# lon_hi = wet_lon_hi\n", + "# lat_lo = wet_lat_lo\n", + "# lat_hi = wet_lat_hi" ] }, { @@ -105,11 +105,11 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2018-06-29T23:43:02.923012Z", - "start_time": "2018-06-29T23:43:02.627732Z" + "end_time": "2018-08-16T14:22:29.266692Z", + "start_time": "2018-08-16T14:22:27.894847Z" } }, "outputs": [], @@ -140,11 +140,11 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2018-06-29T23:43:12.911049Z", - "start_time": "2018-06-29T23:43:03.566152Z" + "end_time": "2018-08-16T14:22:37.275147Z", + "start_time": "2018-08-16T14:22:29.274769Z" } }, "outputs": [], @@ -154,11 +154,11 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2018-06-29T23:47:44.776196Z", - "start_time": "2018-06-29T23:43:12.919618Z" + "end_time": "2018-08-16T14:25:08.938071Z", + "start_time": "2018-08-16T14:22:37.283578Z" } }, "outputs": [], @@ -248,11 +248,11 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T05:54:34.168830Z", - "start_time": "2018-07-01T05:54:34.152161Z" + "end_time": "2018-08-16T14:25:09.015330Z", + "start_time": "2018-08-16T14:25:08.945990Z" } }, "outputs": [], @@ -262,11 +262,11 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2018-06-29T23:48:04.451249Z", - "start_time": "2018-06-29T23:48:02.919472Z" + "end_time": "2018-08-16T14:25:42.163145Z", + "start_time": "2018-08-16T14:25:09.023349Z" } }, "outputs": [], @@ -280,11 +280,11 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2018-06-29T23:48:05.591448Z", - "start_time": "2018-06-29T23:48:05.584363Z" + "end_time": "2018-08-16T14:25:42.178450Z", + "start_time": "2018-08-16T14:25:42.171109Z" } }, "outputs": [], @@ -297,11 +297,11 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T05:55:30.185146Z", - "start_time": "2018-07-01T05:55:30.175684Z" + "end_time": "2018-08-16T14:25:42.273319Z", + "start_time": "2018-08-16T14:25:42.186038Z" } }, "outputs": [], @@ -314,27 +314,27 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T05:55:35.824667Z", - "start_time": "2018-07-01T05:55:35.512713Z" + "end_time": "2018-08-16T14:25:42.693613Z", + "start_time": "2018-08-16T14:25:42.281848Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 12, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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ezwDu6dsQETdFxEGpk95lwM0RMZuio97XACQdD6ysFszgK2czs2YsBM6QtILiJt9ZkmYDj0ZEb5Vj/hr4gaQLKdqi+2sa3s7hbGbWoHTFWxmul/Wz3/zS+3XA5HrLcLOGmVmGHM5mZhlyOJuZZcjhbGaWIYezmVmGHM5mZhlyOJtlYMEbx7f8nA10VbYM+Tlnsww8dfoBfJMzW3rOcaxs6fls9/JXq5lZhhzOZmYZcjibmWWo6XBOE7WulPSspCmSjpW0XNKLkmpOv2JmZrU1dUNQ0kHAhcBRwP7AT4G3gM8Dy4FHJfVGxIpWVdTMrJM0e+U8FZgfEe+kAD4HUEQsS7OkLAROaVUlzcw6TbOP0n0M2CZpCfA+4Aek+bSSdcCHdrFuZmYdq9lwHkExRctk4CPAMoqJXvsEsLW/AyXNAmYB7NW1T5PFm5nt2ZoN5zeAxyJiI/CcpLXAn5S2j4P+n4BPkyT2AOw7/ICqU7SYmXWyZtuc76OY4rtL0jiKq+T1kg6RNJKiTfqemmcwM7OqmrpyjoifSDoOeArYAHwV+B1wFzASuCoiXm5ZLc3MOkzTY2tExBXAFRWrj9y16piZGbiHoJlZlhzOZmYZcjibmWXI4Wxm1iAV5klaJekRSeMrtl8t6Zn0Ojet20/Sg5JWS7pNUs17fg5nM7PGTQXGAAcCc4Er+zZImgxMAg4HPgXMkSTgcuDOiJhAMRbR2bUKcDibmTVuCnBrRATQC5xY2rYG+EZEbAP2ATak/U4Dvp/2uR04tVYBnqbKzDpC18Zg1DOb6t19tKSlpeWe1Lu5zwTSeEIRsSl1yBsSEdv6RuOU9B2K0Ttnp2NGRcRb6f06YGytCjiczcx2tj4iumtsD2BLaXlLulL+/Q4R/1XS1cAvJX0P2FxxfL/jD/Vxs4aZWePWUowhhKRhwMa+DZJmSjodICLWAUuA8cC7kvZOu40DVtcqwOFsZta4xcCM9H4GO44l9DYwKz3RMRo4mmKoi7uB6Wmfc9M5qnI4m5k1biGwWdIK4EvAtyXNlnRm2vYb4DngAeC/R8TrFE90zJS0kqJJ5K5aBbjN2cysQenpi/MrVl9Wev/Vfo55jWIM/Lr4ytnMLEMOZzOzDDmczcwy5HA2M8vQLoWzpCFp0I/TJB0s6fE0qMd1raqgmVkn2tUr54uAP0zvr6WYGWUicKikk3bx3GZmHavpcJZ0EHAKsAjoAo4BFqVHTO5ggEE9zMysul25cr4euJiij/ho4I0UzFBjUA9JsyQtlbR007YNu1C8mdmeq6lwlvQlYElEPJNWVQ4CUnVQj4joiYjuiOgePmREM8Wbme3xmu0heCJwnKQvAB8CTq7YPuCgHmZmVl1TV84RcU5EHBIRh1EMNP0V4DFJJ0nqAr7IAIN6mJlZda0cW+MbwA+BDwLzI+KxFp7bzKyj7HI4R8TM0uIxu3o+MzNzD0Ezsyw5nM3MMuRwNjPLkMPZzCxDDmczsww5nM3MMuRwNjPLkMPZzCxDDmczsww5nM3MGqTCPEmr0mxQ4/vZZ7Skh0rLEyWtkfR0el1SqwyHs5lZ46YCY4ADgbnAleWNki4A7gOGlVYfCNwSEYelV83p/BzOZmaNmwLcmiYY6aUYRrnsV8B3KtZNANbUW0ArR6UzM8vWkA2bGfHk2np3Hy1paWm5JyJ6SssTgJcAImKTpC5JQyJiW1r3sKR1wKzSMROBKZIuBp4HLoiIddUq4HA2M9vZ+ojorrG9cvanLX3BXMNzwBzgxxShfSPw2Wo7u1nDzKxxaylmfELSMGBjHcf8S0T8c2oKWQAcWWvnZucQHCLpFkmrJS2T9ElJx0paLulFSZc2c14zszaxGJiR3s8A7qnjmDskfSa9nwYsqbVzs80aZwL7UbShHE4xA8om4PPAcuBRSb0RsaLJ85uZ5WwhcIakFRQ3+c6SNBt4NCJ6qxzzdeAWSdcAq4DzahXQbDiP5fd3KpdLOgp4PCKWAUhaCJwC3NTk+c3MspWy7/yK1ZdV7PMicFxp+Ung2HrLaCqcI+KGvveSvkLR3vJSaZd1FLNy70TSLNIdzL269mmmeDOzPV7TNwQljZR0M3ARMJkd71wGsLW/4yKiJyK6I6J7+JARzRZvZrZHa/aG4N7AQ8A7QDelO5fJOGD1LtfOzKxDNXvlfAHw84i4OCI2RsRaYKikQySNpOjaWM/dSzMz60ezNwSPAU6QdGpp3UzgLmAkcFVEvLyLdTMz61jN3hD8QpVNNR+qNjOz+riHoJlZhhzOZmYZcjibmWXI4WxmliGHs5lZhhzOZmYZcjibmWXI4WxmliGHs5lZhhzOZmYZcjibmWXI4WxmliGHs5lZhhzOZmYZcjibmWXI4WxmlqGWhrMK8yStkvSIpPGtPL+ZWQ4GyjpJX5b0oqRnJZ2c1u0n6UFJqyXdJqnmZCetvnKeCowBDgTmAle2+PxmZjmomnWS9ge+ARwNnAp8N226HLgzIiYAbwFn1yqg1eE8Bbg1IgLoBU5s8fnNzHJQK+tOBhZHxNsR8SLwiqRDgdOA76d9bqcI7qqaneC1mgnASwARsUlSl6QhEbGtbwdJs4BZafF3d6+9/skW12F3GA2sH+xKNKld696u9Yb2rXtu9Z64Kwe/vfnVn9699vrRde6+l6SlpeWeiOgpLdfKuu3bknXAWGBURLxVsa6qVodzAFtKy1vKwQyQfsAeAElLI6K7xXV4z7VrvaF9696u9Yb2rXu71ruaiDitlaejetZVbgtgK7C5n3VVtbpZYy0wDkDSMGBji89vZpaDWlm3fVsyDlgNvCtp74p1VbU6nBcDM9L7GcA9LT6/mVkOamXdz4DTJY1Ibc3vj4jVwN3A9LTPuekcVbU6nBcCmyWtAL4EfHuA/XsG2J6rdq03tG/d27Xe0L51b9d67w47ZZ2k2ZLOjIjXgBuAJyhuFv6XdMyVwExJKymaPe6qVYCKm41mZpYT9xA0M8uQw9nMLEO7PZzbsYu3pKWSnk6vH0o6WNLjqRvmdYNdv2okTZM0J70/VtLy1KX00rQuy99FRb1nSFpR+vw/ldZfnj7/JyQdPcj1HSLpllSfZZI+2Q6fd5V6Z/95d4yI2K0vYBpwJyCKO5e37u46NFjfLuC+inW9wGfSz7AYOGmw61lRP1F0KX0FmJPWLQUmAcOAfwMOzu13UaXeVwD/oWK/ScAjFM/p/ynwwCDX+yyKG0QC/gj4VZt83v3VO/vPu1Neg9Gs0W5dvMcBL/ctSOoCjgEWpZ/hDgbohjlI7gVuA5D0IYqbv8siYjPFP8hTyPN3sb3eyQRgTcU+U4B/jIgtEbEE+Ejp+dHBMJb0OUbEcuAo2uPzrqz3GNrj8+4IgxHOO3R7BLok5dz2PRGYlP7btwT4FPBG+gcGdXTD3N3SP7ZFwLK0qlp30qx+F/3UG4rP/0ZJv5Z0fXrgv/LneYUiWAZFRNwQEXcBSPoKRYeEdvi8K+v9HG3weXeKwfiLMWAX78y8C/w90A1cQPEgeX9dM3NWrTtpO/wuHgAuorga/QPga1T/eQaNpJGSbqao62Ta5POuqPdM2uTz7gSDEc7t1sX7aeC7EbE5Iv4NeJKiDa7PgN0wM1CtO2nWvwtJAr4TEcsjYgvwA+BIdv559gNeHYQqApD+i/8Q8A7Fl3hbfN791HslbfB5d4rBCOd26+J9EfA3AJI+CnwA+BdJJ6X25y8yQDfMwRYRa4Ghkg6RNJJiLNp7yP930QU8K6kvGKYCSyjqPT09bTAZeC41EwyWC4CfR8TFEbGxjT7vHepN+3zeHaHVo9LVYyFwRur2uIbijnHOvgvcJul5igGyv0zR5vZD4IPA/Ih4bBDrV68LKbqLjgSuioiXJWX9u4iILZIuAh6QtIXiKm9+RGyW9BDwPPAm8LnBrCfFDeITJJVvDM8k/8+7v3q3w+fdEdx928wsQzk/JWFm1rEczmZmGXI4m5llyOFsZpYhh7OZWYYczmZmGXI4m5ll6P8DXnARzor8aa8AAAAASUVORK5CYII=\n", "text/plain": [ "
" ] @@ -344,7 +344,7 @@ } ], "source": [ - "mp.contourf(latlon_indices_high_andes);mp.colorbar()" + "mp.contourf(latlon_indices);mp.colorbar()" ] }, { @@ -356,11 +356,11 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T05:55:49.044483Z", - "start_time": "2018-07-01T05:55:48.914452Z" + "end_time": "2018-08-16T14:25:43.806436Z", + "start_time": "2018-08-16T14:25:42.701581Z" } }, "outputs": [], @@ -391,11 +391,11 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T05:57:09.013494Z", - "start_time": "2018-07-01T05:57:04.784340Z" + "end_time": "2018-08-16T14:25:51.364634Z", + "start_time": "2018-08-16T14:25:43.814768Z" } }, "outputs": [], @@ -405,11 +405,11 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T05:59:22.334295Z", - "start_time": "2018-07-01T05:57:10.555265Z" + "end_time": "2018-08-16T14:27:07.952186Z", + "start_time": "2018-08-16T14:25:51.373201Z" } }, "outputs": [], @@ -422,11 +422,11 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T05:59:46.568470Z", - "start_time": "2018-07-01T05:59:24.243254Z" + "end_time": "2018-08-16T14:27:46.798471Z", + "start_time": "2018-08-16T14:27:07.960234Z" } }, "outputs": [], @@ -576,17 +576,16 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T05:59:52.602978Z", - "start_time": "2018-07-01T05:59:52.587661Z" + "end_time": "2018-08-16T14:27:46.868893Z", + "start_time": "2018-08-16T14:27:46.806690Z" } }, "outputs": [], "source": [ - "#ptot_latlon_subset_timemean = numpy.mean(ptot_400[:,:,latlon_indices], axis=2).mean(axis=0)\n", - "ptot_latlon_subset_timemean = numpy.mean(ptot_400[:,:,latlon_indices_high_andes], axis=2).mean(axis=0)" + "ptot_latlon_subset_timemean = numpy.mean(ptot_400[:,:,latlon_indices], axis=2).mean(axis=0)" ] }, { @@ -614,17 +613,17 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T05:59:54.646483Z", - "start_time": "2018-07-01T05:59:54.606321Z" + "end_time": "2018-08-16T14:27:47.116807Z", + "start_time": "2018-08-16T14:27:46.879144Z" } }, "outputs": [], "source": [ - "td_400_latlon_subset = td_400[:,:,latlon_indices_high_andes]\n", - "td_1000_latlon_subset = td_1000[:,:,latlon_indices_high_andes]\n", + "td_400_latlon_subset = td_400[:,:,latlon_indices]\n", + "td_1000_latlon_subset = td_1000[:,:,latlon_indices]\n", "\n", "td_400_latlon_mean = numpy.nanmean(td_400_latlon_subset, axis=2)\n", "td_1000_latlon_mean = numpy.nanmean(td_1000_latlon_subset, axis=2)" @@ -632,11 +631,11 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:00:47.363573Z", - "start_time": "2018-07-01T06:00:47.337437Z" + "end_time": "2018-08-16T14:27:47.267947Z", + "start_time": "2018-08-16T14:27:47.125091Z" } }, "outputs": [], @@ -670,17 +669,17 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:01:03.456236Z", - "start_time": "2018-07-01T06:01:03.415043Z" + "end_time": "2018-08-16T14:27:47.483040Z", + "start_time": "2018-08-16T14:27:47.276051Z" } }, "outputs": [], "source": [ - "tk_400_latlon_subset = tk_400[:,:,latlon_indices_high_andes]\n", - "tk_1000_latlon_subset = tk_1000[:,:,latlon_indices_high_andes]\n", + "tk_400_latlon_subset = tk_400[:,:,latlon_indices]\n", + "tk_1000_latlon_subset = tk_1000[:,:,latlon_indices]\n", "\n", "tk_400_latlon_mean = numpy.nanmean(tk_400_latlon_subset, axis=2)\n", "tk_1000_latlon_mean = numpy.nanmean(tk_1000_latlon_subset, axis=2)" @@ -688,11 +687,11 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:01:10.038630Z", - "start_time": "2018-07-01T06:01:10.015002Z" + "end_time": "2018-08-16T14:27:47.635251Z", + "start_time": "2018-08-16T14:27:47.491406Z" } }, "outputs": [], @@ -792,22 +791,22 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 23, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:05:30.375890Z", - "start_time": "2018-07-01T06:05:30.350092Z" + "end_time": "2018-08-16T14:27:48.090284Z", + "start_time": "2018-08-16T14:27:47.643261Z" } }, "outputs": [ { "data": { "text/plain": [ - "(,\n", - " )" + "(,\n", + " )" ] }, - "execution_count": 24, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -827,11 +826,11 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 24, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:05:42.649434Z", - "start_time": "2018-07-01T06:05:41.979556Z" + "end_time": "2018-08-16T14:27:48.865074Z", + "start_time": "2018-08-16T14:27:48.098231Z" } }, "outputs": [ @@ -839,8 +838,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "(, )\n", - "(, )\n" + "(, )\n", + "(, )\n" ] } ], @@ -928,11 +927,11 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:05:48.109921Z", - "start_time": "2018-07-01T06:05:48.101292Z" + "end_time": "2018-08-16T14:27:48.880765Z", + "start_time": "2018-08-16T14:27:48.873049Z" } }, "outputs": [], @@ -946,14 +945,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 34, "metadata": { "ExecuteTime": { - "end_time": "2018-06-29T06:09:30.105315Z", - "start_time": "2018-06-29T06:09:25.552079Z" + "end_time": "2018-08-16T14:52:11.309407Z", + "start_time": "2018-08-16T14:52:06.130110Z" } }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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xC1cWSYyNzXy5Za/Tfo2PhujpUxzPXf2YAUJCQoiOjna89onGuXPnSEhIwM+vT722CUldXZ3TwlAXZ8+epaysbFz6sHv3biwWCxaLhcTERKfnS5cuHZc+uBuv4XRBSEgIAQEBjmF1z0WMkWK1WqmrqxvS8C7k7uewWARtlTU0F1WwxRJAq2ZixzuqNCoSVs10PP/szY+xWpy9xskzEsA+TVFbW0tVVd+oAZ1OR0pKChqNJyPlXGM0GqmrqyM5OdnTXRkSNpuNxsZGTp06RVZWFo8//jjBwcHMmzePjo4OUlJSsNlsPPTQQwQGBpKcnMyBAwcAWLduHc88013y6k9/+pMjhO5HP/oRERERxMTE8MMf/hCbzZXW9sXNxPt2ThCsVitfffUV7gqcV6lU3HrrrUMKZVJPiiPo1sdpeUcRC1/RdIhvklPp8PUd5EjPMuXq6RR+fBJLm4naSj3H9h5i0bVXOvb7BvkzKTkaQ6FSCfjgwYPcdtttLs/VtboeHBzscv94I6UkOzubzMzMYS8QVt3pMtR4TJj8jvN85g033MDZs2fJzs5m48aN1NfX88orr7Bx40Z++9vfcv78eTZt2oTBYOCFF17g2WefZdeuXaxdu5YXX3yRF154AYCtW7eydu1a9u7dywcffEBhYSHt7e0sWbKEJUuWsHr16nF7jRMBr8fZD+fOnSM2Npbg4GC3DBsbGxvxHYbhC7rpUdSTlGKKgR1trDzpek5wIqHx0xK/ojsqYevrH/Z576KmdZf2OX36tMvwL5vNxqlTpygpmTgRBeXl5QQFBREWFjZ44wlCe3s7oaHKol14eDiPPvooWq2WJ554goqKCs6cOUNwcDBPPvkk/v7+rF692hGmtHr1anJzc6msrMRkMrF7927HTU6v17Nz505CQkI4fvw4y5cv99RL9Bhew+mClpYWamtrWbhwIdOmTXNLetqxY8cGDK7vjfANIPie5x3PF+V8w6TGepLaJ3acY8KKGai0ynxwybkico6dctpvbu/EN0jJY5BScvhw32gylUpFZmbmuCxcDAWz2Ux+fj4zZ84cvPEE4tSpU5w9exaAuLg4x/dYpVIRERFBSUkJoaGhjqG2Wq3GYlHm0oODg1mxYgVbt25l3759TJ8+ncTERJYtW8bLL7/Mq6++SnR0NHfffbcjqeFSwjtU70XPIVlXuExraytGo9Ep7nC456ypqWHx4sWDN+6B3+Vr8dn+J0y5B/D19+XHRScI9tWweepcyv1GFxo1VvgE+xF71TTK9+QBiteZsWC2Y397YwuRU2Mozy4C4MSJEyxfvrzPnGZXwPZEICcnh9TU1BFnjPUePo8XdXV1zJ49m8bGRqeFoM7OTqqrq0lLSyMgIKDfhc9bb72VLVu2kJiYyNq1awE4efIkc+fOZf369TQ2NrJhwwZ+/etf86tf/WpEfaypqWHjxo20tLSwdu1aHnvsMTZv3kxhYSFVVVWEhoZSUVHB1q1bCQ0N5fLLL2f//v0enwP3epy9qKioICAggPDw7gSl0tJSCgsLRxwi09rais1mG3YcqBCCkPUvghAExcWg89WgAu6qLpjQ4UmJ12U4FoHOHM2mOK/Asa+tsZXIlFiCInUkzU7lwQcf7PdH0NLSQnZ2Nmaz57KnGhoaaGlpIS4ubvDGEwgppdOKekNDA3/5y1/o6OjgueeeIzU1lWnTpg14jltuuYU9e/bwySefcPvttwNw9OhRHnjgAaqqqhBC0NHRMap41l/+8pc888wz7N27lx07dlBfXw9AVlYWO3fuxGg0csstt7Bjxw7Onj1LRkaGx40meA2nE2azmfPnz/cZkqWkpLBgwYIRhyRpNBqWLl06oiG/dupl+F9zH8bS7vCkGW1NzDXWjagv40FAZDDRC5Icz7e+8RGg/JgjUybjFxLArNULiZ07FdsA075CCFpbW2lr80zJJCklp0+fZvbs2RecmpCUkssuuwx/f2VaJCUlhS+++IKIiAh2797NO++8AyjzySdPnnTpFERFRTFr1iwCAgIcGXX33XcfGRkZZGZmkpSURGRkJI88ogi7jCQuMycnh6eeeoply5ZRXl5OebkifjZ7tjJKmTRpErfffjufffYZn3zyCd/61rcGOt244XnTPYHIzc0lJSWljzRa13MpJWazuV/ptP6QUhIfHz/ifgWv+wm1Bz+gvdpAwGTl7v5tfSHZQeFYJmjKX9L1meiPKMPxo3sOUVNezaSYSMITopyMUHFzJWF+rrNYAgMDWbx4sceMVlFRERERERNmZX84CCEcxgcUo/baa6/x2muvObalp6dz6NAhCgoK6OzsZPHixX1y2GfOnOmkquTj48N//7frunJd86MD0fv8ycnJPPzww8ycOZOXX37Z4QX3/Mw1Gg2VlZU0Njby2GOPDXqN8WBi/uo8QGNjI0ajcUADl5+fz/Hjx4cdt7Zt27YBM4YGQx0aRdAdT9NSrsdmVr6ckeYOVtWXD3Kk5whJjCB8ZiwA0mZj21ufUFtUTXVuqVM7Q3sjreb2fs8jhEBKOe5qPh0dHZSWljJ9+vRxva67OHHiBEORUgwLC2PBggUEBAQ4bTeZTOj1erZs2cK99947Vt3kRz/6Ed///ve5+uqr6ejocHjIvbnyyisJDw+fMPqtXo+T7jTLrKysAb2byMjIfj/Y/rBYLDQ0NDBp0qRR9THwhgdp2/U3WsqrCUlW5tvWGMr4ShdNk3Zixncm3ZBJfY4SSbB/yx7mzptLXHpSn3a5FeepP1dNeno6CQkJffafOXMGk8nE3Llzx7rLTtdMT0+fEPNpI6Guro7ExMRB23V933sLHB85coRVq1bx1FNPERsbO2b9jI+PZ8eOHU7bNm/e7Hj8+uuvA/Dss8+OWR9GgtfjBEpKSggPDx90JTc0NJS4uLhhKeLU1tYSFhY26h+g0PgQct/PadfXYWlTPDQ/m5Xba4pHdd6xJHzGZIITlcUJs8nEVzv2ERDqrF2pP1/B1tc+5ODBg3z11VcuzxMdHU1sbOy4pWHW1tZisVhGHEUxEei5MLRs2TLy8vL6bdvc3MzBgwedJP2uuuoq2tranIyYl24uecPZ2dlJUVERaWlpQz6mvr6e/Pz8IbX18fFh1qxZgzccAr5zr8c3awXGHupJVzXpJ2xspxCC5Bu6X/s3x77BKp2nOUKiQh0G8dy5cxgMhj7niYyMJCYmZlzmOm02G2fOnHHbZ+YJpJREREQ4gt8Hw9/fH51Od8EtgHmSS95wjmRI1tLSQl1d3ZDCZMLDw90mdiuEIHj9i5iM7XTWd2fcTOTwpKh5CfhHKYsrHW3tfPHJbqf9/rpAwuK7w1kOHjzo8jw2m43q6mo6e6kuuZv8/HymTJnSZ87vQkIIwbXXXjvkkZFWqyUjI+OCXATzFJe04TQYDJhMpmEPyeLi4liwYMGgE9VSSv7v//6P9vb+Fz+GizYujYDrv6uEJ9lsSCmp8PFHKyem0IJQqZS4Tjvb3/4US68bTmxG91zcyZMnaW3tqz/a2dlJXl5ev6pK7qC1tZWqqipSUlLG7BrjQUFBAadOnRq8YS/MZvOQVsa9XMKGs+eQbLhDFJVKhUqlwmazDVjqwWg0YrVa3S5BFnzHD7Fpg2guqqD+1DnK61owq0YvezdWxF6Rim+g8h7U19RxaKfzXGZIdBiBEcr8stVq5ejRo33O4e/vz/z588csEL0rZvNCUHUfjOGk9nbRVYiwurp6DHp08XFhf0NGQUFBATExMaMqtFVQUMCJEyf6HbLr9XqioqLcPnekCgoj+Ns/oaO2HktbB0tPHCWkdeIWOVNrNcyY0+11fvbGR04hXUIIpvTwOo8ePeryPQ0KChqzebjq6mq0Wu2oox8mAvX19cN+Hb6+vkydOvWCEjHxJJek4XRXoa24uDhmzJgx4Pyou2TpehOwYj2aBMUY+VjMrP7aLaWXxgRhhamLZ6D2Vd6niqIysg8ed2oTkRSNj90r7apL5Irq6mpOnTrl1hX2C03VfSC6Yl57pgwPlfj4+CE5El2F9QbiYlR978klaTi7Cm2NVtXd39+fSZMmOYK0ezNt2rRB84FHilBrCNnwouN5Vn4O6dXlXD0BSwpLDRhnaJiytDtyYevrHzq1ESoVsTO7vc6DBw+6fE9tNhs2m82tpTXOnj1LcnLysGT/JipCCL71rW+N6LVIKTEajW4p0Xwxqr735JIznGNRaEuv15Odne30QzebzWzdunVMYw99M5fit/BmAAImR/KD2nzurzpPSptn1Hj6I6BO4NMiSFw5E6FWhtrnTuZx/pRzbGHUtCmOukR1dXWcO3euz7kmT55MVlaW2wLTm5ubqa+vH1Kw+IWAXq+noKCgz/au+kIhISHccccdjvz/7du3M2vWLHQ6HTfddBM7d+7kvffeY+HChTz22GNERkaSnp7OkSNHAMjMVCqaxsXFjSob7kLnkjKcYzkkk1I6rUjW1tZiNpvHPDYu+N7nQeuLNigAtVr5OO+qLkBMoPCkgCalX37hgcQs6s573vr6R07tetYlmhQ5yeWIoOv97PJeRkNXxpg7yj5PFEpLSx0KQ10UFxezfv163njjDSorK6mvr+c3v/kNJSUlrFu3jldeeYWysjKysrJ46aWXmDJlCkePHmXKlCmUlZWxZs0ann76aUARnwZF2PlSLjF8YeaTjZCxKrQVFRXVZxGoa2ForNFEJxO45hGMW1/BNywEoVIxtcPI5U16DoROgMwXCdoOgdlfMeRJN8yi6oDiEX2z/yiVxeXEJnWvlE+emYhucgRZMzJJDXdd28disXDw4EHi4uJGVf+nrKyMkJCQIQeKjwbbgb/BIdfiGH2YdROqlU85H7/z3+HUJ/0fs/h+VFcopTF659e//fbb3HzzzcybNw+A3/3ud5SXl/PWW29x0003ORTcN2/ezMsvv+yojfXkk08ihGDNmjV8+OGHfS55KXPJeJxGoxGDwTAmhbaEEAghsFgsjsyXtra2cUvZC1r7BARE0FpZ69h2R00xvjbPl9hVm8CqBWl3HoNiQ5mU1S2k8tkbzl6nb6AfYXGTqGipwWxz7VFqNBqSk5NHtQJuMpkoKCiYMCrz7qKurq7PwlBpaamTwtGMGTNYuXIlJSUlTgukWq0WnU5HYWGhUyaRn5+fN76zF5eM4czOzh7zIVlRURE5OTmYTCauvPLKcauGqPILIvg7m2mrrMFqUsJ4Qi0mbjSUDnLk2GP1hZpU5x9d8g2ZjscHtu+nvqavtqhV2qgw9j+HFhcXN6pMl9zcXKZNmzZh1Hbcxdq1a/toLkRERDjNRx48eJDXX3+dyMhIh/4lQFNTEwaDgYCAgDEVj66pqWHNmjUsW7aMV155BVC83fvuu4+VK1c6NDevuOIKGhsbAbj88ssnlPG+JIbqJpNpXAptJSYmMnnyZEwmEzk5OVx22WVjer2e+F+9jrbtf6altBBdqqIwdF1dOV+ExmDwGZ6ikzvxaxJY/CSWHou8odOi0aVG0ZRfg9ViYcc7W1j38H19ji01VhMfHENTY5PL8JqOjg4MBsOwg+Lr6+tpbW110qsca1RXbIQrNo78+JVPQa/he2+MRiNtbW19FLxuu+02rrvuOh588EFiY2N5/PHH2bRpE7fffjvLli1jw4YNzJ49m82bN7N69WoyMjIGnM5Sq9UYDIYRj6i6VN8XL17MjTfe6JCty8rK4rXXXuP6669Hr9c7lN+zsrImjPJ7F5eEx9nZ2TkuhbZ8fHwICgqiqqqK2trawQ9wI0KlImTDL+kwNGBuUVIWtVJyp75oXPvRmyCDCpWlr5ef1MPr3PvhTlqNzmmW0iYpP1fMf/3xD/zxj3+ko6Ojzznq6uooKCgYlkK8zWa7YFXdB6OkpMRlJMKcOXP4+c9/zo033sj06dNZvHgxGzduJCsri1dffZV7772XyMhIcnNz+f3vfz+oF941X1pbWztmqu/t7e0TUvm9i4ljwscQX1/fcR2SnT17FovFgs1mG9f0PZ/pC/Ffsg7j8Y8Jz1TiR+cbDUxvbeRc4NgvgPTB5rww1JPI2fEExobSWtlIR1s7ez7Yzpr7etRYF1CeXUR7k2JQjx8/zhVXXOF0jpiYGCIiIoa12FdUVERkZOSw6z9h+7daAAAgAElEQVRdCHQt6rhi06ZNbNq0qc/2e++9t49QcWxsLHv27OHcuXMOQ9tTuf399993PB4r1XeA1NTUMVd+H2lI1SXhcQ631MVoaWlpISYmZthK8e4g+DubsZgF7Ybukq3f8VB4krYTLD4S6eJbJlSCpB7iHzve2Yqps1vlXQjhJP5x+PDhPkHvarV6WEazvb2dsrKyC1bVfTDq6+sdGpyjpaOjg9bW1jGJQx6q6juMrfK71WolNzd3RMeK8RKH9STz58+XQykj4C7MZjNqtdpjYhEt7/+K1vd/waSsdCxWK3+Pn8HB8MmOypPjhg3UFrD2c9+yWax8+cN/0NmgDLU3PPUgy25d6bT/6/f2Y+5QDOratWv7zEtKKcnLyyMoKGjQuk7Hjh0jPj7+oo0/LC8vJyYmxi1zgVLKi24qozd5eXlotVpSU1O/llLOH86xl4THOZ40NTVRU1ODSqWivb2dqqrxT4EMXPMwQhdLQ14h9d/kEplfOP5GE2WYbhvgG6bSqElY2T33/NmbH2Hr4VWqNGpiZnQbQ1dpmEIIRxrmQNTU1GCz2S5ao2k2m5k0aZLbFlB6l9S42GhpaaGmpmbEkS9ew+lmCgsLKS1VwoDKy8spKCgY9zAK4eNH8L0vYDa2gpQsyjlBVEP94Ae6mdAKFZpBaqzFLUlDE6C4pPryar7ed8Rpf0xaPCp7RlR1dXWf+TKAjIyMAVMmrVYrOTk5F7Sq+2CUlpayf/9+t56zsrKSw4cPX3TGU0pJdnY2mZmZIx4Veg2nm6mpqXF4NUlJSSxYsMAjYRR+i27GJ+NqAFRSctPRr8ZVJV7YQGMSmAeZgtT4a4m/pjsIfevrHzr9ULV+PkSmdhcL608hHuhXMDo/P5+4uLhhF9q7kDAYDCNSRBoIPz8/QkNDJ1T8pDuorKwkICBgVO+X13C6ESkler3eYTi1Wq1DpWbcvU4hCFn/IgjlI04tL+aG4lzWVfcVgBgLtO0Cs58c0jcsfsUMVBqlYVFeAXnHzzjt76madP78eZehXtXV1Rw+fLiPenxrayvV1dVOmTMXI+5cGOoiPDyc9PT0iypJwGw2c+7cuVGHJ3oNp5u57rrr+mgajrQe+2jRJs0i4Nr7AQhNS+Jb7QZW1VeQ0TL2w3aLj6Q5emiv11fnz+Qru1P/tvSSnPPXBRI+SF2i8PBwpk6d6hRB0SXiMZoh2YVCXFzcmGkjjHdN+7EkLy+PlJSUUUfaXNzfpnGmpaXFZXxgWFiYxxYlgr79Y0RgKDZz96LLOn0hqrEetgswBQ79GknXZYJ9/er04ROUnHMO3I/NTHI8Pn36dJ+ibT4+PiQkJDh5R1VVVfj6+rrdE5uIzJo1a0wKzOn1eg4cOODWulmeorGxkebm5kGjL4aC13C6kZMnT7rUQoyIiCAxMdEjXo86ZBLBdzxNS1mVY8V6Smcby+uHX5dmOEwq1KAZRkHKgOgQouZ2D8l7i38ER4WimxxOfOZU/vmf/9mlUK+Ukvr6eurr6zGbzZw9e3ZcMsY8TWVlJTt37hyTc+t0OpKTk0ct+u1p3C0h6DWcbqTnwpArGhsbnUQVxouA676LiJpKa0V3hci1tcWEmsem1K6wKvGblmGKkCet7l71Pvr5QRpqu6cUhBDMXDWP+PmpWHz792QLCwspKyvj7NmzTJ069aJQdR+Murq6EXmbe/fuHVQdys/Pj8TExFENbSdCGY2SkhLCw8P7CKCMFK/hdBNms5nGxsYBpc70ej0VFRXjPtcpNFp0979EW1UtlnYl59vfZuXu6vwxuZ5jYWiYN3Zd0iRCpyk3HqvVyt6PnL2oLk+hrMV1mpwQgoyMDBISEmhsbCQhIWH4nb8AcSUl505sNhuNjY0jLlfi6TIanZ2dFBUVkZaWNnjjIeI1nG5CSsmSJUsGHNKkpKQwf/58jwzZfWdfg//V62gu7PZ45xnrmNNscPu1pFrSGj6ym0P8im4PaM+HO/vUYAeoa2+k3dJX9AMUD2mkZZ8vVHx9fQcsBbN3716ysrJ4/PHHCQ4OZt68eY5ieDabjYceeojAwECSk5M5cOAAAOvWreOZZ54BlPIizz//PFdddRWgpExGREQQExPDD3/4Q4+kFg+HM2fOkJaW5tawwEtC5GO8SElJGXB/1wcnpcRsNo97Dn3IfT+n5pvttNfU4R+lLJjcXZ1PbmAoHWr3fRXM/rgU9hgKUXMS8Q0NoLOxjeb6Ro7uOcTlq67u0+5sVRFNhTXMnDnTyWiUlpbi4+NDQUEBmZmZ4/4eu2Lu85+P/UV2KYbw+E+Wu9ydnZ3Nxo2KQvwrr7zCunXr+O1vf8v58+fZtGkTBoOBF154gWeffZZdu3axdu1aXnzxRV544QVCQkLIycnh9ttvZ+/evXzwwQcUFhbS3t7OkiVLWLJkCatXrx771zgC6urqMJlMTJ482a3n9XqcbmLPnj0UFQ1Nwu3MmTNuL3E7FFQhEYTc93OMJVUOweNwi4nbaovdep3IfDWqEergqjQq4pZ1D6l2vftZnzaVZ4r56L/fZe/evRw9etSx3WQyUVhYSFpaGlartc/K+6VMeHg4jz76KFqtlieeeIKKigoKCwsJCQnhySefxN/fn9WrVzsys1avXk1ubi6VlZVYLBa+/PJLh7SbXq9n586dhISEcPz4cUfpjdGyefNml5lhI6VLQnAsRh9ew+kGpJTU1NQMOY4uJiZm2OK77sJ/yV1oZ16NsaR7Vf3yxhoCre5R/FZZQG0S2EbhwE5ZMh1hD4gvOHOOolznudiAsGBHFtTJkycdcYZnzpxh+vTp6HQ65s+fPyqF+IuNuLg4h/FQqVRERERQU1NDTEyMY7tarXYkagQHB7NixQq2bt3Kvn37HGr5Cxcu5OWXX+bVV18lOjqau+++m4aGhn6v60kKCgqIiYkZUq344eIdqruBlpYWhBBD/oBGUytntAgh0P3Tb6j9weV0NjYjrTY+CYujVe2e7BBtu11/cxQ3eF+dPzHzk6g6VAjArn9s45+eedixXzc5HP+QANqb2zCZTJw6dYrk5GQ6OjqIjVXSM7vEP8xms8dX1vsbPruDw4cPo9VqmTt37oDtysrKHI87Ozuprq52MpquuPXWW9myZQuJiYnccsstnDt3js7OTubOncv69etpbGxkw4YN/PrXv+ZXv/rViPpfVVXF3XffjUajob29nQ0bNozoPL1pa2ujoqKCq6/uO83jDrwepxuw2WxkZWUNazggpaS6upqKioox7JlrNDEpBH/rhzSeLabpfAlXHj9CqNE9tdiFhI7g0U9BxK+Y4Xh8eNdXNDc0dV9DCKLTu4OYjx496rKm1DfffMPZs2dH3ZeJjNFoHFKAf0NDA3/5y1/o6OjgueeeIzU1ddA01FtuuYU9e/bwySefcOedd7Jo0SJKS0t54IEHqKqqQghBR0fHgAtTg/HSSy/x05/+lB07drh1hHD69GkyMjLGLP7UazjdgE6nG7byjhACg8GAwWDwiPpM4JpH0MQrweE+FjO3HdznFhGQjhBJ66TRr7LqpkYSkqx45haTmS8+2e20Pyol1qGapNfr0Wg0fbK24uLimDJlyqj7MpG59tprhxR2lZKSwhdffEFERAS7d+/mnXfeGfSYqKgoR0bSjBkz8Pf3Z/369WRkZJCZmUlSUhKRkZE88sgjACOKy8zNzWXBggWAUnPIHVRXV6NWq0dl0AfDazjdwJYtW0Y0z5Oenu6x2jdCo0X34KsOnc5p5cVkFeUT09k2KgMaVqpGuKkqcfzy7tCkzz/YgdXSfWKNr5ZJU7tXSl2VQIiOjr6o0y07Ozs5ffr0kL4/Go2G1157jdbWVg4dOkR6ejrLli0jLy/P0aZ3iQyAmTNncs899wBKbG1ZWRkvvfQSdXV1NDQ08L//+7+O4PuhxGUWFxezbNkyx/OpU6fy9ddfAzj+jwaLxUJeXh4ZGRmDNx4FXsM5SiwWC3q9fkTDjK5MCqvV6hEhBZ9pCwi47ruAUuxtfWkOLxQcY3FTzSBHukZlBt9W4bJUxkiIXpCENljRpavXG/jmy6NO+2PSuofrubm5Lou2mc1mjyQdjAcGg4HCwsIxObfJZEKv17NlyxZHTSKVSkVtbW0fBarR8PTTT/P//t//4/rrr3eL7N/58+dJSEgYVkmVkeA1nKPEYDAQFhY24uBaKSVff/21y+qE40HwXc+iiphCQGwkoVFhqIC79IUEWYa/yu7TLjCNcmGoJ2qthrgl3fWBdr+3zWm/v48vAcHKgpzVauWbb77pcw6j0cj58+cd9bkvJsZCSq6LI0eOkJyczKZNm5wW3BYtWjSgaPRwSUhIYP/+/Wzbto2PPvqIpKSkEZ/LaDRSW1s7YlX34eA1nKPEZDKN6sMWQpCYmOgWxZaRoPIPRrfxV7RV1mK1F0sLtpq5Uz98T0Ztcl3RcjTELUtDqBRLnHv8NOUFirq+tElMVa3EZHTP7x07dqzPfHFYWBjz588f05RETzHUVMveQ/KhcNVVV9HW1sbmzZudtk/UbCx3i3gMxiVhOOtaxm4YnJCQwJw5c0Z1jujoaHQ6nZt6NHz8FtyI7/w1NBd1p2Ne1aQnvXV487atk2wYo9w7JPYLDyRyTrdx3P2+4nWa9a1owvyITI1F46N4+0IImpqanI4XQlyUpYABFixYMO4CzVJKzpw5M+Rkj/GioqKCwMBAwsLCxuV6l4Th1Bs7+fTk2BRN27Vrl1vmJ202G8XFxS7VzceDkI3/jrlT0FHXPaRdX3UerW2IKz0SgmtUMAYBAj1Dk776bB8tdU3YjCY0kf6oNWqSFqaRsWoe333oQUJDXdePLywsdGtWiqex2Ww0NTWNe4xql7rRRJKZM5vNnD9/nhkzZgze2E1cEoYT4LlP8/gqv86t52xpaaGqqsotpQW6wpN6e0zjhTo8luC7N2MsrsBmX72ONnWwxlA6tOPNEFCvctv8Zk/CpkcTNEUxiKaOTva+tR3tlGDHkCwqdQq62AgqW/u/6XR2dl5USuZNTU1uL842VNLT0yeU8lRubi6pqanjqktwSRhOrVqFxSZ56r3T5FS6J9AbcKRZumNORQjBnDlzSE1NHbzxGBFw7UbUU+fRUtqdjnmDoZwpHYOvorojY6g/hBBOXue+3XsR/n09ngqjvt+Y2PT0dKZPn+5y34VIfX29x+dtRyoz504aGxsxGo3jnsJ8SRhOXx81ukAf2s1WHnnrJKX1fcNWRkJTU5NbS2J0DX86Ozs9UllQqFTovvsq7XVGTM2KsdQgWV91HjFIbKfDcI4RkxdPdZQRrtXXcOrQiT5tOqwmDO3KvKyr+uugDOsuBsZag3MwTp48SU5OjseuD+O/INSTS8Jw+mlUYFUWLRrazDz85knqW0c/bJszZ47bsh26MJlMHDlyxFGbfbzRxs8g6Jbv01xUhrTHPqa2N7O0YeA54pZIGy0j1OAcCmpfLVlXdOdj7/5HX9Ukm8XKga8P87e//Y3Tp0/32W8wGDhw4AAtLS1j1s/xIjEx0WOVO4UQSCkHDIUaD9X34uJiIiIiRqXqPtKsvUvCcEYF+fDyuix87Yo75Q3tPPLWSdpMI/fqrFYrx44dc1cXHfj4+DB16lS36wcOh6DbnoTQOForlUD4JpOV/IABvpwSfFsEcgzXC3S2AK5acrVjKiD74DdUlzkb88qcUk58foSysjKXn41OpyMuLu6iKHcbFhY2bivIroiJiXHEd7pirFXfOzo6KCkpGfX0y0g91UvCcAJkxev4xW0Z2EMCya0y8uR7pzFbR+Yl1dXVUVJSMiZDhClTprgli2KkCB8/dP/0Cq0VNTQVlNJx/DTBNf1nE6lNoKtSj8n8JgASZlsSKZvcwqRZ3XNZn7/vHBAflRrr+DxKS0v7pGFqtVpSUlI8rpY0Wjo7O3nzzTeH5S19+umnpKenExISwh133OHIstq+fTuzZs1Cp9OxZs0aysrK2Lt3LwsXLuSxxx4jMjKS9PR0jhw5AkBmZiag6ABUVla6NYtoOLhL1d1VccWhcMkYToBlaZH88IbpxIQHoNWoOFhQz/Of5o3IXR+O/uZIMJlM5OXleeyL6Zu5BP+ld9NRq8wZ3nrwC3zMrqc3fMZ4fjPJFkmDqgWjqt0pf33/p3voaOsuW+sT4Et4Yvdn0t+IwGg0eix6wR3U19cTFhY25Jt2cXEx69ev54033qCyspL6+np+85vfUFJSwrp163jllVcoKysjKyuLu+66C1AUp6ZMmUJZWRlr1qzh6aefBnBMgZSXl1NXV+dySmSsMRgMWCwWt4zKDIaRlY65pPQ4bVIiNRqmxuqIDgvgdFEdn2ZXExnkyyMrBi570Ru9Xj+mK3lCCOrr6wkNDR0TIdahEHLv83Qe34at2UBIq5Hrvz7Mx4v76htqO+yplmOAj9SQbI3iC20uABEZUwiIDqFN30x7axsHtn/B8rXXOdrHpMVTV6x4mtnZ2Vx77bVOHqaUktzcXHx8fLjsssvGpM+u2JJby2d5Q/uRXpEUynfmOBuFN7+p4kBxz7TR6ez8INfx7Ib0Sdw4w7Ua0Ntvv83NN9/MvHnzAPjd735HeXk5b731FjfddJNDwX3z5s2EhoZSXV1NZGQkTz75JEII1qxZw4cfftjnvPHx8dhsNqSUIx55bd68mQ0bNgw5+65L1X3hwoUjul5vRpqKe0l5nGWNHewvUjyoQH8t6YlhqAT894ES3j5SNsjRzlx99dVjOjmv1WpZtGgRMTExY3aNwVAFRxCy4UXH88U5J7i9JJfb9c5ZI+06G+2hY7MwlGmJJ09diVUo5xcqQfw13V7n7ve2OY0YQmLC8NcpNxqTyeQoStaFEIKZM2c6hpyXAqWlpU7f1RkzZrBy5UpKSkqcwt+0Wi06nY6amhrCw8MdxtDPz89llEdoaKhTu/EgPz+f2NjYEZVDdoV3jnMIJIb5c/fc7ju5LtCXafHKBPtL28+zM2doqkBdCtpjvcjQFZ7U2trqEc1OAL8rv4Vv1gqEWkVE5jRubK3lhroyprbZ42El2NRgHYPY4whbEL5oqVI5p35OvjIVta8yWKooKiPv+BnHPiEEMWndIwFX+etBQUFurXg40YmIiHCa7z148CCvv/46kZGRlJd3p9k2NTVhMBiGFdze3t4+7Gy3qqoqli9fzqpVq9i9e/fgB9hpa2ujsrLSrbHOq1atGtFxl863x86ihFCMHVY+PKMYyYgQP6bG6iisbOKZD88QFqBlftLAq5VVVVXk5OSMS/ZEQ0MDJ0+eJDMz0yMlN4QQhPzTb6h9YhE2u9ehQknHfG7qHIRJRXixhpo098adCimYZUngiLagz6KTNsCHyZenUL5XUXff9d5WZszr9iAjU2IpOX4em8VGTU0NZWVlfT6r5uZmSktLmTFjxrikD944I7LfofRQ+M6cyXxnzmSklLz//vvceuutQ+73bbfdxnXXXceDDz5IbGwsjz/+OJs2beL2229n2bJlbNiwgdmzZ7N582ZWr17db9pqF2q1GoPBQExMDBUVFVRWVhIeHj7k/nSpvi9dunRY1TFPnTpFZmam28prG41G8vPzB2/ogkvK4+zi2ukRLE/tDh6OCQ8gPioIs1XyxDunOK8fOM6vpqbGrYHvAxEaGkpKSsqgX+axRBOVRPCdP6a5qAJpj0KI72zlurryMQt8T7VGU6VqpE24rlTZM5Po+P5j1FV3ez0aXy2TkrtHFq4WiWw2G0ajkfb29j77JjLNzc2YTKZhGfs5c+bw85//nBtvvJHp06ezePFiNm7cSFZWFq+++ir33nsvkZGR5Obm8vvf/37Q83XNl9bW1pKenk5nZ+ew+jMS1feqqio0Go1bnYfa2lpqBogWGQiPGU4hxDNCiI5ef2YhxD1CiKeEEAb737/1OCZcCLFVCNEqhDgjhLhqpNe/NTOKBfHdsYnxUcHEhAfQ0mnh4bdOUNXU0e+xer1+TFfUeyKEID4+3uNDy8AbH0I1OZ2W8mrHtptrS4lp6XC74fSXPugafTinquy3TVBsKOHpinGUNhuff7DDaX9Mj5pEOTk5faITdDodixcvdignWa3WEa+wjicjTbXctGkTpaWl1NXV8fLLLzu8tnvvvZeCggLa29vZtm0bsbGxgyrDv//++3R2dhIZGYnFYmHlypUDXnu0qu9jpere2Ng44lhYjxlOKeULUkq/rj/gaiAPaAAetT+fB9wthLjVftgrQA0wBXgBeE8IMaLZNZUQ3DM3lpnR3SvWyZNDiAjxo9Zo4uE3T9DU7jo9b8GCBeO+aNPS0kJOTo7HlMyFWoPuu6/QVl2HuVXx0nykjTs6ztIR5N6c5dmWBP7n9df44kfvkffGIepOV2Az971G/IruRaJ9H+/C1NkdLhUUEUJQpA61Vs2cOXP6vG9CCNra2tiyZQvf//73mTNnzpC8LU9jMpk8umDoiubmZgoLC4c8Dz9c1fezZ8+SlJTkdlX3xsbGEY/kJsQcpxBCA/wP8D3gfuAPUspc+77/AtYJIT4D7gCmSSkbgbeEEP8PWA5sc33mgVGrBA8sjOPVL0soaehACEFKrI7Glk6KDG18/+1s/uuey/DTdg9DOjs7CQ4OHvfsE7PZTENDA21tbR7Tl/RJnUfgDd+jed9/E545DSEEM0yNzO+s4ZB/99SF1WzBWDwyJaowWxAltmJa21rpMLRQ9nkeZZ/nofbVEJE5hciseCbNjsMn2I9JWfH4hQfSUd9KS5ORw7u+4uobr3Gca9pVmWj9fVkUP5tgP6W0SXl5OTt37mTXrl0cOHDASTGpurqao0eP9unTcOgago4VaWlpY3r+kWA0GqmoqGDKlClDSi7oUn0fCs3NzdTX1zNz5szRdrMPS5cuHfGiq/DUaq1TJ4R4GLhRSnmDEOJr4Fkp5Rb7vutRvMv7gc+llJE9jnsb+FJK+duBzj9//nw5UHpkS6eF33xRQqvJymXRgfz7Z90lZZdNn8S/fysTjX1ok5ubi16vdxp6jBdWq9XjOoi2jhYMTyzCP9BK4GTlozCqtfw4ZT4tGuVm0lZr5Ksf/mPsOiGUKpjRC5Kwdlgo+FApmZGYNpXNf/tlnxCTAIsPBz/Yw7Zt28jNzXV1Rreg1WrHXPPzwIEDzJs3b0JlP1mtVoQQblu06UJKyYEDB8jIyHD7HL+Ukvz8fFJTU1GpVF9LKecP53iPe5xCCBXwA+BO+6YQoGdah9G+rff2nvtcnfe7wJNAaGhoKHv37h2wH/PUKqx+guAWK7dMFXxUqNxQ9p4z8Nhf93JHqkAIQXFxMYGBgYOeb6yQUmKxWDyabx24cAPx236GX7gOta8PwVYzj1bVcyBaCaRukk2UTR1+XRoVKkBiQ1JTVUOHi4WboJAg0jJnkj57Bqnp0zGbzfz7p6ewWCyUnC0kd+sxpqY6JzN0AGnpaXR2dqLT6cjOznZZ2C00NHRUJWXVavWYfi+sVivZ2dl0dnZO2BIW7sRkMmG1Wjlxoq8SljvOnZeXx+zZs0d0vMcNJ7AGqJFSdo2RGoGeEx8BKPOevbf33NcHKeWfgD+B4nEOx0NcBoTsyud/DyoKRQer4bK0JP5pSTLvvvsuy5cv91jZ2aKiIsrLy1m0aNG4Crc6s4yGhjM05+4kLF0JrNZ1FHNYfZJ2tQaiIO3H1wxyDmeCbH7MtSQrGUIC2l7ZRUe2EmMYHB/OpMviicyKJyQxAqES1AA1nAcgalESlV8pYSVfHP2KmTf2HS6n6OJYsXwFoHiGR44cYefOnezcudPhJX7729/m2WefHckbMi7o9Xqam5u55prhvbfjQUNDA6WlpWRmZrplVGQymfjqq6+45pprxsRJKC8vx2QyjXjkOBEM5/3Auz2e5wGZwE7785nASaAYCBNChEsp63vs+91YdOqxFSnojZ2UNps4X97If+0rIiLIh7S0NI+q0kRHR+Pr6+vxVfaQ+39J9SPbaTc0YDOZ2Rc2RTGaI0FCliWRU5pSR8xm6LQoJmXFETlbmccciPgVMxyG8+jnh1j3SAOhEd2fUWuDkR1fbsdQVM3ixYu59tprufLKK7nyyiv56U9/yv79+/n4449HVXRvPGhoaPC4eHF/SCkxmUx0dna6JasnNzeXadOmjdnIqqGhYVTDf4/GcQplvLEE6Jk+8AbwkBBiihAiDfg+8KaUshX4GNgshPAXQjwABAOHx6JvxfXt2LQawkP8SE8IQwj4xdazNPhNdvtcznAICAggNjbWo30AUIdGE7b+5zTnl9JSWsUVp44TXT+ycJ44WwQtooMGVXfIUPLq2cQvSx/UaAKEJEagS1XCw6wWC/s+2uW0v9PYjj6/wlFCuGf6oBCCxYsX8+Mf/9hRP3yikpaWxpVXXunpbrgkPDycBQsWuMVoNjQ00NraypQpU9zQM9ckJCSMKrzJ0wHwmSjDb0dCsZRyG/AacArYD/ynlHKvffdjQDpQDzwM3CGlHBP9/poWE21mJYRFF+TL9LhQrBKefvcU2eWeV9apra31aKXBxsZGvvaZijb9cgDUNht3HNiLGGa4lEaqmW6dTI6mfPDGA5DQQzVpz4c7sPRQeg+Li8QnUAllaWtr66Nc7uPjMyy1IU9RWFjo1nIVmzdv5nvf+57bzgcjFwbuebwrVfecnBxSUlJYtmwZ+/btc2gNbNiwgRdffLG/0/WLWq2+cD1OKeUpKWVAb+MnpXxeShkupYySUv5Hj+16KeUqKaW/lHKOlNL9s8Z2FieGcvPM7oWCCJ0/UyeHYLLB99/OptjgGbm3LpqbmzEYDB6L66ypqcFktqD77qugVoZTcTVVLM47TXprw6ClNrqYaYnjvLoKsxidQYial4iPTpkCbzQ08PW+I459QiWIme6cv94bq9VKSUkJDQ3DK4k8Xkgp2b9/v8c+76HQ0NDAwYMHR5SN1XVDKCoqIjIykuDgYKf9R48eJTo6mr1797J06SBmiDEAACAASURBVNJRy9l98MEHLhcIh4qnPc4JzcrpEVyT0iM1MyKQuMggGtvN/MubJ6k1uk4HHA+SkpKYP3++x4bstbW1REZGoo1LI2jtDwBQaTXc3VDKUyWnBi21ARBqCyBY+lGmGn31UZVGTdzS7hjHXe85l9aImjYFYVexLisro7q62vl4lYrKysoJazhbW1vRaDTDFrjeu3cvWVlZPP744wQHBzNv3jwnxSiDwcDy5cvx8/PjiiuuoLa2lm3btjlJJra0tODr60tBQQF79uxh5syZBAcHs2LFCqcSL35+fuh0OifjXlxcTGhoKC+99BKhoaGkpaWxZ88eAP7+97+zZs0abr75Zm655RY6Ojr485//zM0330xYWBj33HMPDQ0N7Nu3j40bN3Lo0CGWLVvG3r17SU/vHmH0vNbKlSsJDg5m0aJFnDx50uV70lXTazTTCl7DOQBCCNbOimJ+XHfEU0J0MNFhAVQ1dfDIWycxdox/UTVQhhpCCGw2G52d42/A29raHKE7QWt/gDp2Gv5REQSEKe/VHTVFhJoH6Jdd1T1bU+I25fi4pdMRauVk57PzKDlb6NjnE+BLeEJ3kH5vr1MIwYIFC8ZEKnDKlCmj/ktLS+Ppp58etJ0rsrOzSUpKor6+nrvuuot169Y5jNunn37KT37yEwwGA/7+/vzxj39k+fLltLS0OAzPrl27SE9PJyUlhfvvv5//+I//wGAwMGfOHP71X//VcR1/f38yMjL66Mc2NTWh1+vR6/U8//zz3HnnnRiNRgA+++wzNm7cyMcff8xbb73FX//6V959910KCwvRaDQ8/PDDLF26lL/+9a+sWrWq33Avm83GzTffzO233051dTXr169n7dq1Ltt2ZQyNZmrGazgHQSUE98yLJT2q+8swNTaE8BA/zulb+Nd3T2GyeGb4JKXkm2++4ezZs4M3djMrV650KHALrS+6775Ka2UNlnYlxz/AZuU71f2XJUi2RWFQGTGq+tcEGC6+oQFEz09yPN/1D+eEspj0bi+qKx6yJ12RChMhKcSdhIeH8+ijj6LVanniiSeoqKigsFC5qaxatYprrrmGoKAgli9fTnFxMT4+PqxevZotW7YAsGXLFm677TbH+bZv345er+cXv/gFf/7zn/tcz2KxOHmdQgieeeYZfH19ufPOO4mJieHwYWVNd8GCBdx6660YDAY++eQTvve973HZZZcRFhbGz372M95///0hfR5Hjx7FarXyve99j8DAQB566CFsNptLr9PHx2fUmUhewzkENCrBXI2emADlDiWEYHpcKCGBPhwtbuCnH+dg88CPTQhBXFzcuNeUbm5u5syZM07bfGdeif/y9TQXdi/yzDcamNPcd6XdV2pIskZyVt2/iMdIiV/erZp0aMeXtDQZHc9DosPwD1VugGaz2eWPqry8nK+//vqiMp5xcXEO70qlUhEREeFQBepZfkKtVjsiDtauXcvWrVsBxSvsMpxbt26lpqaGuXPnMnfu3D4eYFNTE1999ZWTsnpwcLDTQkxkZKTj+qGhoVitVnJycmhpaXHS2oyMjKSjo8PhnQ5ESUkJeXl5+Pn5Of4qKir6TMmAUuhutKmrEyGO84JAX1nOdxYs5vXcNmpaTKhUgkkhfjS3mth+pgadv5YfrJqGVj2+96LxkrfrSVVVFXq9vk84R8jd/0btsa2019ThH6UkCNxdnU9uYCgdPWI8My0J5KorHKru7kSXEklwYgTGkjrMJhNffLKb1fcoGjGKyHE8RYcV5Z9jx46xYMECpyGbr68vQUFBWK1Wt8XKVlRUjPoc7777Ltdcc82IZNXKyrqrG3SJcHcJhfQ3XL3hhhvYsGEDn3/+OX5+fsyaNYvm5mby8/N54403sFqtvPHGGzzwwAPccsstjuOCgoJISEhwmottbm6mqakJnU4HKEYuJibGMT+an59PXFwcMTExTsLK58+fJzQ0dEjlf6Oiopg/f77DkwX45ptvXM6F7tmzh+nTp48q3MnrcQ4Bi8VCQ0MDCTGR/MsV8YT4abgmJYy5sd1iG+8cq+COPxxm39nacfdWbDYbpaWl47aw0bUw1BtVUBgh9/8SY0kVVpMSDvT/2Xvz+Kjq6///eWcy2feV7CtJIAkBsrApIIuigmWTotQNtKCttvJt/bS1/kq1tUprrVZtXVpbq4hQxYWyiJRVlgTInpCQkH3fk5kks97fH0NmMlknyUyAwuvxyAMy996ZO5O5577PeZ3zenlqVCxrNl4M3joXZEipk47N62UkCIJgYuj23z1fm6SNPpEBSGykhvfRN6gABlfHqz1g0BdarZaOjo4xD160trby3nvv0dPTw/PPP09UVNSItVxnZ2duu+02tm7dypo1awD9Z7thwwYOHTqETqdDpVIN+B5IpVLCw8MHkFivvPIKSqWSv/71r8jlcubMmWN4b3V1dURERHDvvffy17/+lfz8fNra2vj1r3/NQw89ZNZ7nD17Ng0NDezduxelUslHH33E8uXLB51iamhoGLeL7M3AaQYUCgVBQUHY2Njg5WTLzxeFszrBj/9bFsPiWOMXp7qth6d35fDER5kUNwwvhmxp1NTU0Nw8fnbaHDQ1NQ258rGfsxpZ/ALkFUZWfVFLDXY6LYIoEK8J0RNCVsSk1HBkTnoRjKbaBvLSjCyyja0NPpH+eAR6s3rtmiFXHT09PYP67FwNtLW14erqOuZRxsjISI4fP46XlxeHDx9m165dZh23atUqsrKyWLdOLyPh4uLCO++8w5YtW3Bzc+Mvf/kL//znPwHYtGkTmzZtAvQ14s7OTtRXemnt7Ozo6enBy8uLN954gz179uDg4GDYr1fVfcWKFTz55JPcfvvtBAUFIZFIeOGFF8w6V3t7e/bs2cMLL7yAh4cHr7zyCnv27BkwlqzT6ZDL5YbV71hxTagjWRsjqSONBxqdjk/Sq3nvZBlRQe40d/RQUS8HRNYkBbJlQTgejtafKVer1RMm/NHT04NMJhvyQlbmn6Rl2114TY/Fxl4fwHb4RVLhphegKbIZuVVpvCjcmUbFIX2je9KCVJ783TOGbb2ujFM8IwhyGVjq6O7u5uzZs0RFRU14/XgwdHZ2Ul9fPyavnaNHj7JlyxYTYWJzcfr0aTZu3DhqRSmFQkF6ejrR0dGoVCpiY2Pp6RlIAtbU1FBXV8fMmTNHfW5jRVdXFydOnOCOO4zOqIIgjFod6eaK0wxkZGTQ0tIy6DYbiYQNs4J5aH4EdrY2BHg7M32yN86Otuw+V83KN8/w0dlK1FrrMu+9QVOtVlu1VKBQKGhtbR129WM7ZR6yiBl01RrtLJY1VxOodeOSdGCx3hoInB9t+H/GyXO0NRnLGL11vWr54LYJDg4OTJ48+ap4PA0GZ2dnixqUmYPOzk7ef/99HnnkkVEf6+joyNSpU4f9/DQaDYWFhRZXdR8Jjo6OJkFzrLgZOM1AQUHBsIFCqxPp6qNQbm9rQ3y4FxEBrnSptLzy9SW++3YaJy9Z15pBoVBw5syZMfuomIOqqqoRVyCCIOC0/Id0N7Sgu5KuKWSelAoliMLEZDjOAe64T9avJnVaHSf+898B+3So5HSqBp8ACwwMtLji+Fhx4MABixBMo0FycjJZWVls3rx51McKgoCvr++w6l2FhYWEh4dPuK5oSUmJRUaVbwbOEaBQKNBoNMMye1KJwONzgvneTH8cZMaPdJKnE9Mn++DubEdZcxdP7czmhzsyudxonXFNR0dH/P39raoQPxQx1B/2s1ci8Qyg43IVzdmF5HS7UmY7uBWJtRC00LjqPPbl4UHHFas66igsLBy0PtzbuH210dLSYhazPBj6+weZi8LCQs6ePTvmWqBWq6W+vt7QUtQXHR0dtLa2Eho6es3W8aKystIiAyM3A+cIaG5uxsfHZ8QpA0EQmB3qzi+XRDDN3xi47GRSpoZ5EhXkho1U4FRJC999O43tB4qG9DQaKwRBICoqasDkhiUxHDFkci42MpzufBxlawearh7CLh42e37dUvBNCsXmSn25P0kE0FRax+d/383OnTtJS0sbcHxNTc2ovHSsgZ6eHlQq1VWzSxkrRFHk4sWLAzzXRVEkOzt7gIjHRGE8PkN9cUMEzvHU/UJCQkZlWu9mL+OxWUFsTAnE2daY3vu6OzJ9sg+eLnZoRZGd6VWsfPM0O9OrLF7/VCqVXL582SqCECkpKWarpDsueQjRVj8P7NXWREx15QhHWBZSmQ0B84y1waNfHjLZbmMnQ9WtX31kZ2cPYNEjIiJITU29qqpJKpWKmJiYa165qT9sbGxITk4esKqsqKjAzc1t3Kz2WNHR0XEzcJqL3imRsaihXLx40dBWYS4EQWBmkCu/XBJhMuduayMlys+4cmjv1rD9QBHr30njVInlWokUCgWVlZV0dHRY7DlBfxF7enqa3eMo1wi0TzXedObnZWKj0+GqUQ1zlGXRlyTKPGFKErn5e2LnrO/n6+npGVC7tbOzu+oeT66ursydO/eqnkNfjEbGzcnJySTgq1QqLl++PGhT+lBYs2YNDg4OlJSUEBUVxdmzZ4cU+TAHGzZssEjt+oYInI6Ojnh7e5ORkUF5ebnZKzGdTsfp06fHfLd3trPh4ZRANs8Ows3ehmgfR976bgJ/uDeBIA/jH6+0qYsf7sjiqZ1ZFpGr8/DwYNasWRY3uLp8+TJnzpwxa99eXUW/7z4DEimCVEKcros/FJ1hQ22xRc9rOPQlibRarQlJJAgCvpONfZwZGRkDjpfL5WRmZg7aTjMRuHDhgsk0zfUErVZLWVmZoSMlPz+f6OhoQweIKIojXoufffYZmZmZREZGUlxczKxZs8Z8Ph0dHdTUWGbM94YInKCf101KSqKjo4Pz58/T3j6yGHFraytOTk7jZv4S/F14dnEEDybpldsXxfrw7y2zeWpRJB7OttheIZROXmpm3dtp/OHrS3SMo/4pCILhrmpJ4Vtz65ugZ99dXFzwjIzHfvZ39KZuoQG46jQkdTbhqxy9ZuNYEbRgaJLINyrAoM5UWlo6YPrKxsYGpVJ51QJnZWXluFe9e/fuJTY2FldXV9auXWvIvA4ePEhCQgJubm4sX77cMEW1bds2Nm3axPLly3F3d2fhwoU0Nzezfft2PvjgA5599lm2b98+7GsuXLiQ559/nttuu43IyEieeuopurq6CAgIQBAE/vjHP+Lu7k5DQwMlJSUsXrwYV1dXkpKSOHnyJIChBSsuLo6SkhLCwsIG3Li1Wi0///nP8ff3JyAggNdff33Ic+orbjJeXDtzZRMAe3t74uPjaWxsJC8vD29vbyIiIoZMPRsaGvD19bXIazvaSnHEeAHY2kh4YE4IlV0aGuQqiqvbqW/tQqMT2XG2kn3ZdTy+MJxVMwMM1sSjRWVlJVVVVaSmplok5WxqaiIyMnLE/VQqFcXFxdxyyy0AOC1/kuZTn6Fs68DO3RUJcEdLFf/ynzzuczIHvsmh2Ow4i6ZLRVNtA/np2cTPmg6AnZM97oHetFXpW8UyMjJYtGiR4Vh7e3uL1DmPHj3KsWPHzNp35syZrFixAlEUaWlpwdPTk6+++ooLFy4MecyCBQsGNR4rKyvjoYce4uuvvyYmJoZ77rmHV199le9973usX7+eTz/9lOTkZF5++WXuu+8+Q9DasWMH+/btY+fOnSxbtow33niDX/3qV+Tn5xMbG8szzzwz4LX6Y/fu3Rw/fhxRFJk3bx4zZswwlB0yMjKorq7G0dGRhIQENm3axJdffsnBgwdZvXo1eXl5FBcXIwgCVVVVhtn6/nj11Ve5cOECubm51NbWsmzZMhITE1mwYMGAfS1FDMENtOLsRW+PWUpKCqIokp6ePoD560VERATJyaMaKBgVDhU1Uy9XIQKRgW7MivXF7gqh1Nat5nf7i7j/nXTOXh68+X4kuLq64uPjYzFWODw83KwVZ3+jLduoJGynzEVRY+wvvaWtbsJqnQNIon6eRH590vXMzMwB6aMgCAZb5olEd3c3Li4u48p4du7cyT333ENSUhLOzs68+eabpKam8vHHH7NixQoWLVqEq6sr27ZtIyMjw6AmdPfddxvk5pYsWTJgpt8cbNmyheDgYNRqNffffz+HDxutxZ599lmcnZ1JS0tDLpfz9NNP4+TkxOrVq0lMTDTZdzj87W9/4ze/+Q1eXl7Ex8fz6KOP8vnnnw+6783AaQHIZDJiYmKYMmUKpaWl5ObmDujvampqsoj51FCI9nHEz9nYJCy1kZIa40tMoJFxLG5U8PhHmTz9STYVzaMjt9zc3IiKirKIYIUoiiQmJo441jmU0ZbT8idRdyhQy/XvQSaKLGmZuKZuk0miE+m0NRtTco9gH2T2+r9DZ2cnxcWmNVhRFDl//jyXLl2amJO9AkdHR9auXTuu56ioqDAR9JgyZQpLly6lvLzcZBpJJpPh5uZmGJ7oe4O0t7cf000jODgYhULBhQsXmDRpkslgRm8AKy8vJzIy0mRF31d2biSUl5dz6623GqTkfve73w3Ze5uamjrkynW0uKFS9cHg7u5OcnIyFRUVnDt3jtDQUAIDA1GpVHz99ddmq7OMBRFejvxsUTj7LjZx+FIzOhG0Inh5OLLEx4nzl5poVehXZceKmvi2uJn7ZgXz6C1huNib/6eTy+X09PSMa4SwqKiIpqamYV0WewmhGTNmDEht7ZKWIZ0UgaKmAffoMABua6lln1ewieSctdBLErVdqker1XLyP0dY/qBeY1IikeATFUBNbhmgTyOjo42BVhAE/P39x6UFsHDhwlF7eJeXl2Nra4u/vz8rVqxgxYoVo35dLy8vk0By+vRpSkpK8PHxMSGd2tvbaWpqIiQkZNSvMRQqKyvJz89n0qRJnDlzZtCg1f88QC8nt379erNew9fXl/379zNlil6HtaqqalDCSafTIZFILDapdMOuOPtCIpEQFhbGjBkzaGxs5MKFC1RUVODl5WV1Tx+ZVMJ34nz5yYIwAl2Nf9QujUh8hBeLEyYZnCU0OpF/na5g5Zun+fRCNVqdeSn45cuXKSkpGVfK3tjYOOL0ylBGWwCCRIrT3T9A2dKO5krvpJNOw61tEzO7Dv1Jom/6kUTGFXJJScmA7CMwMNBi9W5zcenSJeTy8alsrV69ml27dpGTk0NzczNPP/00PT09rFmzht27d3Pq1Cnkcjnbtm3jrrvuGjGVtbGxoanJvNHhd999l5aWFnx9ffnkk09YuXLlgH3mzp1LV1cXb7/9Nl1dXezcuZOqqiqze6fXrVvHSy+9hFwup6ioiMWLF5t4KvWira2Nb775ZpBnGBtuBs4+cHR0ZPr06QQEBJCRkYFUKrUoKz0cQjwc+Olt4dw9xZsrtjloRegWBb4zK4Tpwcb0vbVLzW//U8j976aTXjayBmd0dDRJSUnjIjhGYtR7enqoqKgwWan1h+PCDQjOHnTVGtOwO5qrkIoTYz3Sd5KosUZPEhnOzd0J38mBRM+O48c//vGgKxOtVmt20LAEWltb8fT0HHnHYTBjxgxefPFF7r77bqKjo5k9ezYbN24kMTGR119/nQceeAAfHx8KCgp46623Rny+22+/nbfeeotXX32VY8eODVkGEkWR8PBwNm/ezJw5c/j+978/qAeQvb09X3zxBe+99x5eXl68+OKL7N692+xey23btmFra0tISAgLFizg4YcfZvny5QP2a2trs2jT/U1ZuSFQW1tLZWUlOp2O6OjocX+BR4Oajh4+ulBLeau+BWZZjDd3T/Hm67wGXjtcTF2H6Wrothgfnl4aRZDHyOKsvZJqo8Xhw4eZP3/+kOnquXPnDCrew6Fz5/PI97yC94wpSG31z/VeQAyn3CdGyb6v3Fzywtn88MWfDNgn2S8OD/uBq+vKykpKSkpITU21au0b9EH6H//4Bw8//PBVb8IfC1JTU9mwYQM/+tGPEEWRzMxMnJ2dmTx5Yjop+uPChQtoNBpSU1MHbLspK2chiKKIu7s7qampREdHU1RURH5+PirVxLDAAa72bJ0fxsp4X0Lc7bkjxgtBELgj3o9Pn5jN4wvCse8jJnKksJE1fznD64eLkSsHL+LrdDoyMzNN7FxHg8WLFw8ZNBsbG9HpdGYV3h2XbQapjK4648rNHCthS2E4kqgXNUPIzU2aNIkZM2aMWz3cHEgkEtatW3ddBk25XI5arTaM5gqCgJub21Wdt/f19bWoqMjNwDkI5HI5n332GaB3CExJScHOzo709HRqamomRPRBKhFYMtmLnywMM/ExcpBJWZMcxA+WRnNnvHGVptaK/ONUBavePMPnGTUD6p8SiQR7e/thpb6GQmlpKTk5OYNu02q15OXlER8fb977cvfD4ZZ1dNc3o+nuoUSu5k8h5h1rCehJIn2tUk8SHR2wT11XM2rdwBtQL/M8EXPj7e3t14wC/WjQSxA6OTmZ8AMREREmxnATjcDAQIv6c90MnIOgoaHBRMhCKpUSGRlJYmIitbW1ZGZmolBYRxquPyT9LlJRFPk4o5bTFe3InOx4cU088YHGtLJZoeL5vRd54G/pnC83XU3FxsaO6cs73M2iuLiYwMDAUaWuTst/iKjV0pxViGNeAY5dEzdFBBA43+hw2J8kAtCJOvJLC9m/f/+AiSGNRkNpaamJi6M1UFhYSFlZmVVfwxqoqanBwcGBkydPDmDGe32KJhqiKPLRRx+NWnNiONwMnIOgvr5+UAbV2dmZmTNn4uvrS2ZmJqWlpVZRIBoOBQ0KChr0QbtJoWZvYTPLZgTyqxVT8HUxEhoX6+Q89kEGz/w7h5o2Y2ASRZHm5uZRrWaampoGVURSKBTU1dWZNU3UF7KQqdglLgZAIoosKBh8NWst+CX3JYnqyT9n+vqXjufw+Yf/Ji0tjdzcXJNtEomEmpoas0Z2x4PeiaHrCWq1mqKioiE9y69GLyzo7TJEUbSotczNwDkIvL29CQ4OHnSbIAgEBgaSnJxMV1cX6enpE+YuCTDF12mAYPKpsjbS6+S8uDaex24Nw87GuO2bgkZWv3WWN/5bQpdKg0KhICcnh9pa8+qKoigajLb6P56Tk2Mw2hotnFY8afh/4sVsHCwgLmsupLY2BMw1BvujX5jKzTn7GNnX/mOOEomE2bNnW12E93oMnIWFhURERAxZDgoODrZYA/poYMmJoV7cZNX7YbSsc1NTk8H/OTIyckw1xLGgvUfNJ5l1ZNea9vmlBrsxL8yNvx0v40Ce6QSFt7MtP1wUydwgWzw9PMbVozpeoy1RFGn66Vw0FXkAXEidh7uHI196h1BvZ13GGkBe08bp5/SjeVKplFc+/yvuXnr7XbVSzblPjiFeySY2b9486AU/mu/K/x3/o9nnJiKiUCj0smyY9/wvz99q9vP3Ytu2bdTV1fHXv/511Mf2R3t7Ozk5OcybN2/Qz+Sdd97htddeo6SkhEmTJrFq1Sqef/55k55fURQJCwsjICCA06dPGx4vKysjPDzchCgLCwvj97//PatWreLo0aPcdtttA4g0Gxsbenp6qK6uprGxkenTpw967jdZdQugqamJffv2mb2/t7c3qampyGQy0tPTqa2tnRDyaCjB5LTKdt5Lq+beWcG8/3ASU/2NX8wmuYptXxbw4z2Xya42T6uzpqZmQK3NEkZbvb5EAE5BftwpkTOnvYE7midGQm04kkhmJ8Mr1FiqGUxco7S0lKysLKucmyiKODo6mh00rzZ6s4+hVN1feuklfvnLX/Lb3/6Wmpoa9u/fT0VFBd/97ndN9jt+/Dj29vZkZWUN8AWys7NDo9Gg0WhQqVT84Q9/YMOGDQbJupiYGMP23p/e+nRgYOCQQXOsuBk4+6GhoWHUbRNSqZSoqCimTZtGTU3NmEWTR4uhBJM7lVr+llaNp4stH2xK5tf3TMG7z0x8fm0nG/9xgS1/O0FV8/CTKaWlpQMEkS1ltOUwby0Sdz9U7cZzmNdeP2HiH8ORRH7RxkminJycAcSCnZ0dDg4OVqlxd3Z2DuqBNBYcPXqUxMREnn76aVxcXEhKSjKZrGlqamLRokXY29szd+5cGhsbOXDggIktslwux87OjpKSEo4cOcLUqVNxcXFh8eLFVFRUUFFRgbu7+6AN5m1tbTz//PO88cYbrFy5ktLSUrq7u/nHP/5BR0eHyTjohx9+yKOPPsqyZcvYuXPnkO9JIpGwcuVKHB0dzZKJO3v27JAutWPFzcDZD+ORknNxcWHmzJkG0eSJIo/6CyYDzApxI9jdAYkgsCLRn89/MJtNt4Ri26e1Ka1Gzdq30/nL0ct0qwafkOo/MWRJoy1BZofTss2oOxWo5XrCSyaKLGmeGPGP/iRRwXkjEeQ6yVQdvr/hWUBAADExMVYZyVWpVBYt+WRnZxMWFkZLSwv33Xcf69evN3wv9+7dy3PPPUdTUxMODg68/fbbLFq0CLlcblhRf/PNN8TGxhIZGckjjzzCH//4R5qampgxYwZbt24dVtX91KlTKJVKw9RQVFQUMTExuLi4cPLkSUOLkFKp5LPPPmPDhg2sX7+ejz/+eMj3o9Fo2LNnDyqVyqyG+suXL1u8H/Zm4OwHW1vbcRWwBUEgKCiI5ORkFArFhJJHvYLJt0V6sibBtGfN0daGxxdG8NkTs1g6xXhjUGlF3j1Rxqq3zvCf7Dp0fcoMvXqQvYFzpJRsLHC8fSOCnSOKaqO036LWGuy11u9h7E8SHfn8a8P/BUEwkZsbTB0e9NJvli7NWDpwenp68tRTTyGTydi6dauJoO/tt99ukI9btGgRZWVl2Nractddd/Gf//wHgP/85z+sXr3a8HwHDx6kvr6e3/3udzz11FPExMQMOXrZ2tqKj4+PgdF2c3Mb1Ezwq6++IikpiYCAAJYvX87ly5fJy8szbFcqlQYFJGdnZ37xi1+wY8cOwyq3qKjIsL3358knn0Sj0dDV1TWofsJ4cDNwbuV0+AAAIABJREFU9sO8efMswsDZ2dkRHx9PZGQkFy9epKCgYEJ62BxtpayZ5oejrekdtkul5cXDlylu6eZ3a+J498EZxE4yliQaOpU890U+D79/ntwr9U9BEFi/fr3hIq6oqMDV1dWiM78SZ08cFm5A2WoU/3DUaVkwQeIfJpNEx9NpbzH2Z/r0U4fvn+61trZy9uxZi98YHRwcLBo4g4KCDDc6iUSCl5eXQbatb1+vVCo1tKmtWrXKUOvfv3+/IXDu27ePhoYGZs6cSWJiImfOnBm2N9jLy4vW1laTzKutrY3Gxka++OILQ3fHv/71L06ePIm3tzchISH09PSYrDrt7Ozo6ekx/BQUFJjMpEdHR5ts7+np4c9//jNyuRx3d3eLZwY3A2cf1NbWcv78eYs+59Uij/rj89wG6jpV7Mqq55VjZfi62fOvTSk8luSKS59rNLe6g4f+fo4X9hZQWt1gqNWOxWjLXDjd/QQIgon4x51NlThqre/D7hzogXtUX5LoiGGbnZM9HoHGMkVmZqbJsW5ubkRGRlp8lNDTwxOpxHKpZV8RYqVSSV1dnSGrGipzuPPOO8nIyOC///0v9vb2JCQk0NHRQXFxMR999BG1tbWsXLmSl19+edjsY/bs2QiCwP79+03O5+zZswat0ebmZg4fPkxGRgaZmZlkZmby/vvvD1vnNBfu7u4mq2VL4Wbg7IOamhqrjLn1J48mcvIIQKnRUdJHBLm8tYftR8r4NKeetXMm89FDCTw8NwTZFVkmEdiTUcsDH+Tyr5PFaHXiAKMtS8JmUiT289bS3diKVqlflbtq1axuKLP4aw2GwD5ycyf+c8TkxtbXzK2/U4BEIiE4ONiiq8Ou7i4amwZ3JBgrWltbee+99+jp6eH5558nKirKRNx4MDg7O3PbbbexdetW1qxZA+iD7IYNGzh06BDFxcU4OjqOyAe4u7vzzDPPsHnzZg4dOkRXVxdqtZrnn3+ezZs34+/vzyeffMLcuXOJiYkhKCiIoKAg1q5dS01NzaB+96NBdXW1VRStbgbOPrCkx9Bg6CWP+k4eTYRsnZ2NhJ8tCueuWG9sJMbgePxyK6+erqdObcuTiyL595ZZ3DLZ2OjepYEPshXc/84Z8usUBAQEWO0c3Tb+Aal3MJ1lRhfCha21hHV3Wu01e+GXFIrUXn9DqKuooTi30LDNI8iHoGnhLF5/14D2GTDWgS01gqlUqhAEy16WkZGRHD9+HC8vLw4fPsyuXbvMOm7VqlVkZWWxbt06QP/9feedd9i8eTMzZsxgz549/POf/wRg06ZNbNq0adDn+fWvf81zzz3Hj3/8Yzw9PVm1ahV33XUXf/rTnwA9m95/Vejg4MDixYuHJYn6orCwEBsbmwE/58+ftzijDjcb4E3w6aefsmzZskGL15aGUqmkuLgYuVzO5MmTJ2xKpEGuYldWHRcbTFe8oS4S7op0Ji48kGNFTfzhYBHVbaZz2iun+/Pkokg8nKzT5K8qPkfzc3fgHhWEnYe+varYwZUXwxLBysIa+f88RfXxIgDmr1jMxp8/brJdIkiYH5SETGJKgoiiSFpaGg4ODkybNm3c53HkyBEDY28JHD16lC1btgzoCjAHp0+fZuPGjQP85tPS0ggLCxvXIqO+vh6lUmlRxfnBsGfPHubOnTuswIdVG+AFQYgTBGF+n5+lgiBMnHz3BGDNmjUTEjRBX+yOi4sjKipqQmXrfJ1t+cHcYDamBOLax36jvFPH21kdHL7UzIJobz75fgr3TfcypO8An2fWsvKtM+w6V2W2+vxoYBuVjOsDL9BZVo2o06Fs7+SEzt7qQRMg4Baj/07a4W/p6Sc8ohN11CsG9lYKgkBCQoLZ6lAjQSKRjMvixFLo7Ozk/fff55FHHjF5vL6+HolEMu7MrK2tjYaGBqvW+0VRtMq4JZgZOAVB+A1wHNgJfHLl333A3y1+RlcJtbW1A6YVJgJeXl6kpKRgb29Peno61dXVViePehvnn1sSwcJID8N8ik4EZzs9KSHoNDx2ayjPzIBb+6TvnT0aXtpfxAN/SyeryvJCF453Po4scRnNOUW0FVxm0aljeHZYV1ADwC3CByd/fbdAT1cP6UfODNinRjG4Tqejo6PFWNsFCxYM0AW4GkhOTiYrK4vNmzcbHtNqtRQUFFjkJjF58mSSk5OtLtG3YsUKi/kM9YW5f+2NQAqwHPhGFMUA4FmgZ9ijriMMNiEzUZBKpURERDB9+nQaGhrIyMgYt9eMOXCQSVk7bRLP3BZOmIc9Ud6OzJjkaBA9PnLkCLfMnMpr6xN5bf00gjyMdgYX6+Q88v55fvVlPi0Ky62UBUHA7fE3wEXf4mKvVnH/kf3YWFmbUhAEAm4xNlOf2PvfAfs0tjZx5PhRvvzyywHbmpubyc/PH9dNr6OjY9xkSH8sXLhwTGl6YWEhZ8+eNWk9KyoqIjg42Gxbi+FgbS8v0A8uWIPMBPMDpwtQCRQBiVce+yvwA2uc1NWAtYkhc+Dk5MT06dPx9/cnKyuL4uLiCSGPgt3t2bogjA0Jnpw9e5aGhgYqKytxcnJCLnXhm0vNzI30YveWWTy+INxEfemrrDpWvnmGnWmVaCw0JSVxcsdj6z/BRl9LDWxu5O60kwhWXon7z4lEuEKeFWUVUFdhJKo0SjXn/32C40eOkZGRMaB3U61WG5TPx4qmpiar63yOFZ2dnTQ2NhIeHm6x56ysrBxQP7UkysrKBrSQWQrmBs6T6AOlDSATBGEpsAg9OXvdQ6vVmkzIXE30WtGmpKSg0WhIS0ubEIMwiSDg7eZMQEAADg4O1NTUMDMpmZ2ZdXye28DLR0qpalfy2PxwPn18FrfFGD8ruVLD9oOX+N5758istMyFL4uYgeuDv9X/Iggs6qjnxYunrWrsZufmgPc044z2yX3Gnk4bOxnuAcYUur/Ah5+fHykpKeNqTbpWpeTGKyE4FHQ6HRqNxmqlKWvVN8FMVl0QBG/gGeAtIBZ4D5ACT4qi+G+rnJkFYQ6r3t3dPSFeMqNFW1sbRUVFODg4MHnyZIukSSMhLy+P6upqHCensDPTlP+bE+rGd+J8cbaz4dviZrYfLKKyxZRIWT5tEj9aHIWX8/jYd1EUaXv1IRw6c7F10ZN2+1392B1kGcZ5MDRkVpD1Z32a7u7tySuf/QWpjb7u21RWR9FRvUCGu7s7Tz311IAaXe/11P/xQ+WnGQk5Odn4+vri5zf6kd+loXNGfYy5qKqqorm5mcTERB5++GFiY2P52c9+NuJx2dnZ/PznP+fEiRPY2NiQnJzMyy+/zIwZM0z2e+655/jNb35DQUGByYDFwoULOXHihOGzdHV1Zd26dbzxxhvY2NgQFhY2wJMd4IMPPuD+++83+K2HhYUNe55WY9VFUWwSRfEZURTLRFE8IIpikCiK/tdD0DQHjY2NAywSrhW4u7uTnJyMq6sr58+fp6KiwqrCIXK5nNraWiZPnszsEDdWxvli24dZP13ezvOHLnOqrI05kZ7s3jyLJxZGYN8nfd+bXceqt07z8TjTd0EQcNvyZ1Qq4xTNHW21+HVbr/7rHR+Erav+5tTW1EJumnFl6Rnkg42tvhOhra2N8vJyk2O7uro4ffr0mDOE+PiEq14u6g+1Ws2lS5eYMmXKqI4rKiri1ltvJS4ujosXL1JVVcW6detYvHgxxcXFJvvu2LGDadOmDTop9NFHHxlk4rKzszlx4gTvvvuuYfvJkycHyMndf//9gJ6AstbnOWzgFARhqiAIZwRB6BAE4YggCFfH29PKyM3NNZG3utYgkUgIDQ1l5syZtLW1cf78eatYN/SmZN3d3aSnp9PdpWBJtBe/XBJJYh9dzy61lh0ZtfzpeDmNChWP3hrGvx+fxaJYo72GXKnl9wcvseHdc1yoGHv6LnF0w2Hj26i79Dc2iUTCjwpHZ/U8qtezkeA/19ia1JckkthI8Qo3rgb7p+sODg54eHiMKV3XarXU1NRYvPkd9ApIsbGxuLq6snbtWsMY7cGDB0lISMDNzY3ly5cbRjO3bdvGpk2bWL58OV5eXvziF7+gs7OT7du388EHH/Dss8+yffv2YV9z27ZtzJs3j+3btxMQEICjoyOPPvooW7Zs4fjx44b9du/ejSiKvPDCCyM2uwcFBXHnnXeaiH8MBVEUiYyMtJqN80h/pXfQtyHNAdLQp+j/c7gWiCFz4ODgQEJCAqGhoeTn51NYWGhRA6qamhrs7e2RSCTMnDnToCjj6SjjsdlBbJ4dhJejkaW83NLNy0dK+SynHk8nW/5wbwJv3p9IqKfxy3qpQc6j/7zALz/Po7FzbPYYssiZaOONkyWTbCWsKrKOiDBAwDxj4Mw4eY6OVuNNyjfKOD2Vl5dn0nsrCAJTpkwZkwiKQqGgqqpy5B1HibKyMh566CE++ugjampqaGlp4dVXX6W8vJz169fz2muvUVlZSWJiIvfdd5/huB07drB582Y+/fRTpFIpb7zxBs888wwPPvggv/3tb3nmmWeGfd1vvvnGMIveFy+++CIbN240/L53717WrFnD7bffTkNDw6Ci0X3fy8GDB81yHWhra+PTTz8dcb+xYqTAmQQ8K4piHvBrYMYI+193UCqVdHV14eHhcbVPxSwIgoCvry8pKSlIJBLS09Opq6sbd4G9r9FWU1MTgYH6Ge2+z9srW3d7tBe92btO1I9udir17P+cSC8+2ZzKk4siTLzf9+XUs/qtM3x4pgK1dvTpu8N3foYKo1jznYpGAlqsQ5o5B7jjFqlfPWs1Gk5/fcK4zdsNBzd9vVWtVg/KCqvV6lFrEcjlcpycLO87vnPnTu655x6SkpJwdnbmzTffJDU1lY8//pgVK1awaNEiXF1d2bZtGxkZGdTV6Wvad999N+7u7syaNYslS5aYCIWYg9bW1hFHdFUqFfv27eNHP/oR9vb2rFy5csCq88EHHzTIxM2aNYuFCxfy0EMPGbYvWLDAREqulwxqb2+3qo/7SIFTKoqiGkAUxS70rPr/FKRSKXfeeeeEeGVbEjY2NkyePJmEhASqq6vHLRzSa7QlCALBwcE4ODhQUlIyIB21tZFwT5wvP18UQbS3fmV5e7QXPn2IIFsbCY/MC+Ozx2ebaH8qVFr+eKiYDe8OtC4eCYIgYPvIO+i0+kBuY2fLk3lnkGmso6DUv6ezL+njE2kMCIPZZ2RnZ1NYWDjg8eGgUMitcqFXVFSYCHpMmTKFpUuXUl5eTlSUcWXd6xnfKzdna2uLp6cnrq6u2Nvbj1r8xsvLa9Bab25uLidPngT0Op/Nzc1Mnz4db29vdu/ezSeffGJys/7ggw8MMnH19fX8+c9/NhElPnbsmImUXG87V1tbm0XlD/vjhhD5GG411t3dfU22gJiL/sIhly9fHnXvZ3t7O21tbYSEhGBra8uiRYsAfWnAxcVlUDJqkqsdT94SwqbUQJZGD5x0KW7qwsvZlpfXxvOXDdMJ8zKm78WNCh77IINn94wufZd4BELqg4bffT1cuC/t+DBHjB2TUsKQXCGCqkoqKLtYYtjmE+lvotPZv/cyIiLCLGXyvggKCsbf3/IOkF5eXib1+9OnT/Phhx/i4+Njwki3t7fT1NRESEgIGo0GuVw+rnn5BQsW8MUXXwx4/Kc//akhcH744Ye8+OKL7Nmzh3fffZeCggK6u7sN28cDBwcHq4rSjLjiFARh35Wf/YBtn9/3CYJgvqvZVYRCoRiyFvjtt99SXT0xVg3WQl/L4p6eHtLT0832rOmv6p6Tk0NJiT5IBAQEEBkZOWTvniAIzAh0RSY13d4oV/HGtxW8eLiUiw0KZkV48snmVJ5aHImDzLha2J9bz6q3zvCv0+an79L5j6Jz1As2CBKBuYKSGUX5Zh07Gtg42OKXbLQHObHXVKfT3V9/s3BxcRnQDO/h4TFqxXGNRo2treVHA1evXs2uXbvIycmhubmZp59+mp6eHtasWcPu3bs5deoUcrmcbdu2cdddd+Hu7k5jYyPu7u6Dqrrb2NiY1TXwy1/+kgMHDvDCCy/Q0NBAU1MTv/rVr8jJyWHLli20tbWxb98+HnjgARISEkhNTSUwMJC7777bbEWk4RATE2NVC+eRAudG9LPpvfPpm67823dm/ZqHTCYb9OIXRZHGxsbrghgyB3Z2dkydOpWYmBiKi4vJzc0dsc2qv9FWVVXVgAums7PTbPM5URTZnV2HRifSqNAH0PfTq+lSa3l4biifPTGL26caP+8ulZZXvynmvnfSSS8bOX0XBAmSNS8ZJi8ktjasPvctvq2Wlw4L7JOunz50AlUf7/egxAimLp3Jg1seGXSapquri/LycrNqz2q1mnPnLCug3YsZM2bw4osvcvfddxMdHc3s2bPZuHEjiYmJvP766zzwwAP4+PhQUFDAW2+9RVNTE1qtdsie5ttvv5233nqLV199lWPHjg1pmZGQkMDJkyf59ttviYmJITIykpycHI4dO4a7uzu7du0iMTGRwMBA3N3dCQwMRCKRsGLFCnbv3m12aeCWW24ZICX3+uuvc+DAAYsSp/1hbgP8HOB5IBRjnVMARFEUh1dEvQYwVAN8Z2cnX3zxBRs2bLjuapwjQafTUVFRQXV1NSEhIYYvZl8olUpOnTrFLbfcgkwmQxRFgzZir0qUVqvl9OnTeHl5mdXLpxNFTpS28lVeIz0a4yrS3kbC8qk+zI/wQCIIpJW28PKBIkqbTAPyHXG+PL1kMr6uw6++dMfeQvHfD5BfLABRpN7dkzdXrENtwdlkURT59hef0d2g1wTdvO1HzLn9VpN9Apx8iPOOGnBsXV0dhYWFJCcnj6i4VVtbS1paGt/5zncsdu5jgU6n48SJE6SkpFitjWcoaDQaFAqFReqSSqWSHTt28PDDD5t1XVtTVu5D4CzwMHDflZ/1V/69LtDZ2cnFixdNVgASiYRZs2b9zwVN0L+3sLAwZs6cSUtLy6C9n/n5+cTExBiEEHoNsfpeNFKplPj4eLNrdhJBYEGEJ//f0kgTy+IejY5/Z9ez/UgpZS3dpIZ7svP7qTy9JMrEH+lgXgOr/3KGf54qHzZ9lyx4AvtNfweZPsD6tbWw8vRRsOD4niAIJqvOwYQ/6rua0egG1pR9fHyYM2eOWTKFra2t10RXR0lJCf7+/hMeNEHfapSVlWURbYbeUUtrXtfmBk4/4AVRFE+Joni27894XlwQhJ8KglAlCIJcEISjgiDECnr8URCEdkEQagRB2NJn/3BBEE4KgtAtCMJZQRDMHmfo6emhpaWF7m7jeKC9vf2oi/jXG3oFdnt7Py9evIharaa5uRmlUmlitGVvb8+999474As3VL1rOLja6y2Ln5wXgm8fxr2qXckrx8rYmVmLWivywJwQ9jwxm2VxRqHZLpWW1w6X8N230zhbOnQKLguZitumPxp+n1l8kaRLlhWN8J8TadADzT+XQ2ON6aCEVtTR0DWwniyVSs1uhPfy8rrq38Ouri6qq6tNmPaJREBAAAkJCRaZhe/q6rI64Wtuqv4mcFkUxVcs9sKCMAv4HJgL1KAvBaQAHwE/Au4EPIEjwFJRFDMEQTiBviH/ZWAzsEEUxekjvVZycrKYnp6OTqczaWX44osvmDVr1rjsgK8naDQaysrKqKuro62tjYULF5q0wJSWlmJvbz+oa6FCoaC4uJiYmJhRz8urtToOX2rhYGET6j4CyJO9HfnRrcYC/rmyVl4+UERJo2lb1dIpvmy9PQo/18Fft+WNzSiPf4ytuwvyzm7eumcd9R6W07S88KdDNOfoCcTvbLyXVY8aLTS0Gi3Kmk46yvQ+4321KlUqFZcuXWLSpEnDamyKonjVs56zZ88SERGBj4/PyDv/j8HiqbogCAWCIOQDS4DfC4LQ2vtY7884zleLXl2pdykjBVqA7wHbRVGsFkUxB/gY+K4gCCHoG/CfF0WxA3gFCBMEwSzbRUEQkEqlBlVonU53zarRWAs2NjZERUXh5uaGRCKhqKjIRPezqKhoSDJJKpXS1dVlsmI3FzKphGWx3jy7JII4P2PqetcUUzWq5DAPdjyWwtalUTj1Sd8PFTSw+q2z/OPbwdN397X/D/fEeDxiI3DzduP+/+7HVm05jVCTdP0/R9D1SSdr88vJ/G8aly9fHuC9LpPJ6OrqGlbZv7eufDW1Eurq6rCxsbnqQbOrq8vQgD8eFBUVWV1bd9gVpyAIC0Z6AlEUj435xQXhr+hXjgDdwHTgNDD/yrQSV1L1JcA/gf9PFMWUPsefAX4jiuLeQZ77+8BPAXd3d3fvPXv2APpaZ3NzM+7u7tTU1DB16tSxnv51CVEUUSgUeq1NuZy2tjacnJxwd3cnLy+P6OjoIRWzLbEyEkWoUdvRrJExzVE+YJsWsBGgQyXyVanI+X6i674OsCpSIMbDeB4htUcIq9XXH3UaLc1ZF6kKnEnOvEcsYruhUWt4+ecv0KXQE1lP/eTHTI3Tf29USiW5F3IM+86ePdvk8xvpM1OpVBQUFJCYmDjkPtaGfmrJ6aqvetva2mhrayM4ONgkMxwt8vPzCQsLM7tWe9ttt416xTls4Wo8QXEkCIKwGFgFzAQuAdvRp+muQF8Wo/PKY/0f77ttAERRfAf9rD3JycniwoULAT1L3NjYiEQiob6+noSEBEu9pesCaWlpxMXFGVqwev3SGxoasLe3Z+nSpcPWmURRpKenxyoSfGkV7ewtaGTtND8W+rtwD3Choo2X9hdSfMVcrqEb3s4VWRzrzdbbJ+PvZo+omYP4QRG0VSGxkeIc4k9ASRpnAp1Ij7GAF5AteM8JpeIbff30bGY6M1ffAoA94FZbTXutvhbr6OjIrbfeOuAptFrtoMGgqqoKlUpF7/dzopGfn09oaKhFBYrHCpVKhSiK47K6EEWRy5cvs3TpUqupv8PVnRxaCfxLFMUMURTlwM+A3qjf96p0BFqBtn6P991mNqRSKZMmTcLX19diBlvXCwYz2rK1tSU2NpaEhASmTp1Kbm7usD2bJSUlnD9/3uL+810qLXty62npUvPOmSrePl1JS5eamSHu7HgshZ/cPtnghwRw+GIja/5yhr+fLEONDGHR04ZtDj6eyFydWHHmOJOaLeNR3ncE8/zxNOQdRtvivsIfWVlZA3o38/LyyMnJYTAIgjCiXqS10Jt9Xa3X7w9bW9tx+wPJ5XLs7OysGjTh6gbO/lenBn2mlgn0jWhTgSygEJgiXNHduvJvDJA9lhf/4osvOHHiBErl2BR7rjf0Gm3FxcUNul2tVjN16lQ8PDzIyMgY0vN90qRJREVFWdwzpq5TSV/jzJw6OS98U8LXhU0ICNw/K5jPnpjN8mlGIq9HreONI5dZ9/ZZzuqiIHqRYZtrWBAynY4NRw5gZwH3UJdgT1xC9QSPRqXmzCHjWKBniC+SK2LHzc3NAybRvLy88Pb2HrQZPjAw8KrcwEVRJDs7m/j4+KueovdFe3u7YXJtLHB0dGT58uUWPKPBcTUD517ge4IgzBQEwQHYBhwA/gb8RBAEzyvM+wZgtyiKxeg9j7Ze2f85IFcUxVHPS6rVahobG3F0dLT4yulaRa/R1lApdlZWFs3NzQQHB5OcnExXVxfnzp0bMLrp7OzMpEmTLB44I7wceW5JBHPDjFYHaq3Il/mNvHainLZuNd7Odjz/nan8/eGZRPsZuwEqWrp54qNMDvp9D2T692fjaI9LWADeHW08dOhLHHtGT2r1h2lPp3EEUyqzwbuPTmd/n5tJkyYRFBQ0aIA6evSoVbRVR0JVVRUuLi7XRP9oX/QKaY/VKlsul0+IEdxVC5yiKJ4Afg7sAurQW3JsAt5Fv+osB/4N/FgUxUtXDnsQuBc9+74YeIgxoLGxER8fH7OmOv4XIJfLRzTaampqMngu9Xq+T548meLiYvLy8kxYX1EUqauro7HRMmlwL5ztbLh/hj9b54cS6GZM2Xp1PwuvtClND3bnw0eTeWZZNM52xjL9rw9VkxdnaPvF0c8bl9AAwutreeKr3Xi3j06RqT8mzQpHckXpvrzwMlUlFYZtPpHGFq68vLwBq3WdTjdgpl0URUpLSyfcskWtVlNcXDxqVfeJgL+/P/PmzRuzd1Nubi5lZWWWPalBcFXVkURRfF8UxShRFN1EUbxHFMV6URS1oij+QBRFF1EUg0VR3NFn/yJRFGeJouggiuJ8URTLh3v+odDT00NQkN6US6fTUVVVZVU7iquJvinZUHdipVJJT0/PgHE3T09PUlJScHJyGmDbUVVVZTXV/AgvR55ZGM6KqT4Gz/dOpZY3TlZwsLAJnShiI5GwPiWIPU/MJvyKvJ1Kq2Nrpi/1EXcbnsvR3wfn0AC8Ott54qvdRNQO9KgxFzInO3xmhBh+//aAkTt19fPAzknfZ9rT08OlS5dMjq2rqyMrK8uk/auzsxNbW9txGbyNBfn5+URFRVm9DjgWSCSScZUO2tvbrSon14sbQlauPyIiIkhKSgL0LRDFxcW0tFheJOJaQHV1NU5OTsP2q0qlUu64445Bv7B9Rzfb2to4d+4c7e3tTJs2bch6qSUglQjcEePNk7eE4HKFFBKBQ0XNtHUbyytezrb86bvTcHPQrzybFSr+X+MiuiOXGJ/LwR4EcFAp2XjgC5LGoabkPyfS8P/TB48bejoFQcC7z6qzPxnk4+NDQkKCSYuMQqGYcIGZ1tZW5HK5YeFwLaKpqYns7OwxiXPfDJxWxIkTJwzKKZ6eniQlJV0T1sCWhrlGW0qlcsTm517bjvDwcAoKCigpKUGtVqPT6axm7woQ7ePEzxaFE+mlT2e/N9MfT0fTlVKwpyO/X5uAzRVP9It1crapVqGLWgBR86m6ZxtqZ/2NQyrqWHvyMHecOzUmn3av+MA+Zm6t5KUbA6RPhD5w2tjYYGdnZ/K5yGQyvLy8TFb9/v7+LF26dNTnMFaIokhubi7Tpk27pggSsdBgAAAgAElEQVSh/tBqtajV6jHVOadPnz5qSb+x4IYLnAqFgtLSUpPZ694P+n+NKCooKCAyMnLEVPDs2bOUlpaO+HyCIODj40Nqaiq2tracPHmSr7/+ekDtztJws5fx1C2hbJ4dxPTAQdt2SQ7z4P/ujDb8fvhiE++6PIxw96+JTl6J4mcf0e1vrPEuzD7PfUf2j1pBXiKVMGmWURDs2wNHDf93dHcmdtF0Fj5wJ/fcc8+A4KTVaqmqqqKzU9/KVFhYOEAE2ZooLS3Fy8trQgLLeODn50dSUtKoW5N0Oh2xsbH/2+TQ1UIvMdT/S93e3s7p06cn9ItsTbS1tdHZ2UlwcPCI+/YlhsyBVColMjKSlJQUtFoteXl5Vh9xk0oEEvwHXvAVrd3syKhFpdGxZmYg96UaU9B3T1bwdYG+K2DK5Hn0PPMvOqakIrvi0Z5QVsJj+z7DpWt0liN9zdwuHEujW2HsrPMM8aVLVKJQD87il5aWGjoVcnNzraoZ2Rc9PT1UVFQQHR098s7XKcrLyzl06NCEvNYNFzibm5sHTUudnZ3x9fUddwPutYD+qu7DQa1WI5fLDSZXo4GLiwt33XUX0dHR5ObmWtx1cyQoVFr+llbNqbI2XjleRqNcxdNLo5gTaaznbvuqgNxqfVCP9Y/H/ZaleMZF4Rigry0GNzXwxFe7mDQK4zeXYE+cg/RtPCqlivQjpwfsU6sY2HEglUqZNWsWYWFh6HQ62traJqwdKC8vj9jY2FGrXF0t1NXVcebMmVGRtu3t7bi6Dp6RWBo3XOCcOXMmM2YMNOuUSqXExMRMeGuINVBeXm4w2hoJWq2W1NTUMac3giDg5eVlsNhIS0ujtrbWqnXPXqRXttPcpQ/U1e1KXj5SSl6dgpdWxxk8jpQaHVt3ZdPQoUQoOIBPjl7WwCXEH4crwdNdIWfL3n8TU1lm9mv7zzWSRN/uHziZXKfQB+L+n0Nv2aSjowMnJ6cJCWSNjY1oNJrrSgXMzs4OV1fXUZXPJooYghsscPYWx4cLEiqViqKiojE34F5tKJVKSktLzTbasrOzG/fkSkVFBRcvXiQkJIRp06ZRW1tLRkaGoZZnLSyI8GD99EkGUqhHo+Pds1UcLm7hj+sScLXXB6UmuYqnd2XTHb4Qgo2e3K4h/tgH6ccl7TRqHvxmL3PyzfNr958dYRAQKczIN9HpFEWRusoadn/2b/7+978PCJ5lZWXU19ezYsWKMb93c9FbSrneNBk8PDyYOnXqqFq13N3dJ6xL4YYKnO3t7eTm5g6bvqrVaurq6q7KNIclMNqU7Pjx4xQXF4/rNYOCgpg5cyZ2dna4uLgwY8YM/P39ycnJ4dKlS1Yj3QRB4JZwD56eH2rCtH9zqYXP85vY9p0phqBaUNvJr/ddRvzOSxBkzDjcgnywDQ8DQCKK3HPmOCvOHEMyQopo5+aIV7xxRv3UQaPbpk6jpeBwBvk5eYP2u2q1Wtra2iyidj4SSkpKCAwMvCqq7pbAaL47iYmJw+qeWhI3VOBsaGgY8Y7k5OTEnDlzrro24VjQ1NSEWq0eVUrW1NQ07vTG1tbWhKkVBAF/f39SUlIQRZG0tDTq6uqslr6Hejjwf7eFM7WP1mdxcxdfF7fy/YVGBvxQQQPvnq5FWPkSBBpl3Dz83JDGGuUF5+Zn88A3e0fU9Azo09N5av8xw/uTymzwDDF+z7KzTeUUIiMj6ejosPjkVX8oFApqa2uJjIwceedrENXV1Xz77bdmBU+lUsm+fRNnuntDBc5eRn0k9E5UKBSKCanVWQI6nY68vLxRiTZotVra29stIubcK+dVWVlpeEwmkxEdHU18fDzV1dVkZmaaTM5YEk62UrbMCWb5FOO0UYdSS3ZjF3dNN64M3zlexqFLnQirtkOAsUTh7S6DGbMMv8dWlbNl779xkw9dbvCZEYKNg/67Ul9VR3FuoXFbhGkzfH+So7W11aptQb0EYVxc3IS051gDbm5uhIaGmnUNtre3T6gY9PX5iY4R06dPN9vbpb29nfT0dBoaGkbe+RpAr9HWaGbve3p6iIqKGpdobC8EQRhSId7V1ZWZM2fi5+dHVlYWxcXFVknfJYLAslhvfjAvBOcrCvI6EebHeDM7wshe/+rLAgqaNAir/gCTjCtNP7se1POXGX73b23mB1/tIqhx8NFSqa0Nfslhht/7kkTuAV7I7PX1OblcbjI/rdVqaWlpIT8/32q19Lq6Omxtba/rwQ5nZ2fCwsLMGg2dSGIIbqDAqdVq6ejoMJs1d3V1JTIycsJqJuPBWI22nJycmD9/vsXOIy4ubsg+QUEQCAgIIDU1Fa1WS1paGvX19VZZ0cf6OvF/i8IJ93Qg0d+FpZO9eGl1PKGeRqb96V3ZNCptENa8An7GyapJumbq1j6FTqqvEbt0d/HYvs+IKxu8Duzfp6cz7fApVEp9IBQkEhPFpL7puiiKLFiwgJAQ49y7JaHRaLh48aJVR2InCqIomkUyqlSqCbXBuWECZ3NzM6dOnTJ7f0EQCA4Ovi763saakmVkZJik1uNFb4lAqVQOGRBlMhkxMTHEx8dTWVlJZmYmCsXoGtDNgYeDjB/dGsoDSf4IgoCrg4w/rZ+Gi70NEgEaO1Vs3ZVNj8RBHzx9oxFl9lxe+CRNs+6m7LHfoXHQS9fZajV877/7WZB1boD9sHuULw7e+v26OhVkfnvOsK2vYlJBQYGhx1Wn0xEdHU1ERIRVBD4KCwsJDw//n+hJrqqq4vz58yPq5sbFxQ3aZmgt3DCB09z6Zn90d3eTnZ09rCr61cR4jLbKy8stfmPo7OzkzJkzIxIfrq6uJCUl4evrS2ZmplXSdxuJgL3MWIYI9XLkd6viiA/3IiLAlYK6Tn79ZQHYOSOseRXJ2teYHL8CT3tXuiKncfnJ11B6BxqOX3b+NKtP/hdpHzZcEIQhezqdvFxxcL2i3KRSUVior4FmZWWRmZlpWE1ZMl3v6OigpaWF0NDQkXe+DuDt7c3UqVNH/J5mZWWNyUhwrLhhAmdDQ8OYgst43B2tjfGkZL0un5YuRTg7OxMaGmpW870gCAQGBpKSkoJGoyE9Pd1q6XsvqhVqnB1tmeTpREKEN8cuNfPuiTIEB1cE/6lIJVKm+8TiYeeKyieI0if+gCLC2AOZcimfR77+EnulkYjwn2tM13POZNDe0mZ4f96RRmKqN11vaWnBw8MDpVLJ+fPnLeLsCKObGLte4ODggK+v77B1eFEUuXDhwoSSYDdM4Jw8ebJZc9v9YWtry6xZs67JWmdRUREhISGj9jkHfceAh4eHxVPFXg+d0ZxTr+/R1KlTqaysJCsryyrpu04UkauMq0VnBxnTIr355HwNh/KNJKBUImW6byy+qh5Svn0Hxd0baE0yqhhF1lbxxFe78erQB0hHHxfcJ+vbj3RanYmthk+Esc5ZXFyMQqGgtbUVT09P7O3tiYuLG9THfiyorKzE1dV1TOOz1zJUKhUNDQ1D3lC7u7sNilQThRsmcPr5+eHs7DzyjoNAEAREUaSlpeWaETzu7OykqalpzO6ELi4urFq1ysJnZYRCoaCqanSiwW5ubiQlJeHj40NmZiYlJSUWTd8lgsDDyQHcm+iH9MqCTGYjYUqYJ29/W05ujXHoQdpeS/yRP+OoaCHu3Ccob11G3Z2PGLb7dLTxxFe7CavTO7f0XXWe6pOu27s44uKrD2ShoaEoFApCQkIMK3IfHx+LCAqrVCpKSkqIjY0d93Nda2hqaiI/P3/IrG8iZ9R7cUMETrVaPe7m2I6ODrKzs62mej4a9Kq6jyclKy4utmoDdmNjI6WlpaMW/eibvqvVaoun74IgsCDCk6fnh+Fmb6ybTfJ25o9HyylrvlLLltkjyPSrZomoI+HsR4hTplHxvWfR2ehX6Y7KHjYd+JwZxRfxSw4z2moUlVJZYjQniJgVS9K981l931p8fX2ZO3euSVrZ2Ng47u9VQUEBkydPviZV3ceLXpuboTpifH19WbJkyaDbrIUbJnCOd4bV1dWVuLg4/Pz8LHRWY0dVVRXOzs7jUtYpKCiwqsNnUFAQs2fPHvOFbO30PczTgZ8vCifM3VhScHSQsf1oKRfr5QjO3ghrXwM3PTkkEbVMO/MvZH6+lD7+e9TO+s/eRqdj3fFD3FVwAd++thr9SCI7J3tqFY2UlJSQlpZmci41NTXU1NSM+b20tLSgUCgIDAwceefrEDKZDGdn5yEXCdbWgx0MN0Tg1Gg04w6cvSK+Eonkqk4T9RptTZ06deSdh4AoijQ3N1u1OdrGxsYQNMfzefVP3y3Jvjvb2bB1YRgJfk6Gc5RIJLzxbQUXG+QILj4I614DNz3BI9FpSTj9AQ52Ei4/9Ro9k8IMz7UoK531zsZU//TB42g1prPodYpmGhsbB9xMpkyZwvTp08f0HnQ63XWh6j5eKBQKysrKBv0unT9/fsIHVW6IwCmTySy2UpTL5aSnp1ttdHAkWMJoq7OzE5lMNiZSaTToLSmM13WwP/tuyeZ5iSCweW4I8T6OqDX6+rW8W83xi/oLUXDxQ7j3dXDVEzhSnYb/n73rDm+qbN/3SZom6d4ttLSlA2gZpXRD2aAoQ1BRkAKiPxUF9MPxgWxwfHyguPATwYUiggqKCrJHaaGT7r33XunIPu/vj5DTpEnbpE0LCPd15Wpz5puTk+c87zPue9yN72AmFaBwzT60jgxkjrVEXAorrsJ4tTQ0IyNBvUddLJegur4GVlZWamM3Njbus9ErKiqCvb19n+P39wra2tpQUlKiNc4pEAgexDgHAnw+32A3FpfLhZGR0aAw23SFoYS2BjoxpARFUeByuQaLuymn76rF84Z6gK0Od4OzCRtNrSLklDXjwLViXMq6bTwtHEEt/gQwVzx82bQMfje+g0VrNUpW7ULDRAU9nBEFzLXtDH/c6MLT2dHcjrLyMvz++++oqKhQW1dXV4eUlBS9HgZCoRBlZWX/aFZ3Jezs7DBp0iQNlidCCAQCwaC2WwL3ieE0pHfI4XAwYcKEQf+ilDV6hpiS1dbWDprhHzlypMEVFZXF88red32o62iaxkMPPaSxnKIovD1nBMwoQCxVXJutpzKRXdUKQggKpJYK42mmCPmw5VKMj/4GZm21qFq0FpWPvQJCsTDPoTMZdutqDDraOuOylRnFaKxpgEAgQEqKOu8nIQQ0TeuVTMvIyICPj49BuAbudrDZbK1F8DRNY8qUKYPe4XdfGM6BKIylaRqVlZWDVp5UVFQEOzs7gzDq3Lp1i9G9GQwQQtDc3GzQ2LBq7ztN0zpR1ykJfTMztcsDc9gs7HlyDIbZKLK3IimN7X9k4WpBEz6+XoJ8mRWoxR8DporYcPPQ0Wg3VxjSxvDHULJqBzxsuBhhqjC8EqkM369ej47bGXPLIZ291BkZGWoPLwcHB/j7++tcV1tbWwuapu+KZOVgobm5GZmZmWq/OULIHaHNuy8M50A8jQQCAXJzc1Ffr7tWTV8hEolQUlJisCmZvuJs/UVjYyOSk5MHxFir9r5XVFT0yDzv4+ODxMTEHtsRLfkcfPz0OIYAubpNjN/SFYbvfE4DKOthCs9z/OOwWrgXdqad17HNJwRFr3yIx9w7C7FjChuxc+kaVPz+C1hsFti3W0CFQiEKCgo0zq+L3LJcLkdmZuY9x+reX0ilUg36uJycHERHRw/6WO4Lw9nTVEYul+P999+Hl5cX+Hw+vL298c4772j0D0+ePBnOzs7M087KyoqhSjMyMoKRkRHYbDaGDRuGAwcOMPtRFMWsV33p82Urp2SGeAB0dHSAEKJGPzd58mTExMSobXf48GG4u7vDzMwMU6dOZfqs3333XfB4PLUXh8PBkSNHUFhYiGnTpsHU1BS+vr64evUqAIV2/ahRo7SWT/F4PK3Jo6tXr+pVzK2krhsyZAhSU1ORm5urMe1lsVjg8Xi9hjqG25liyO0yJamMZng9smrbUdEiAmXjCtaM9eBweBjvMAo+Nh5gUSwYSTpgToQYu/czPDGm07usEQHb9hxD6u5tsFQpf0pPT1c7b1tbG27cuNFreU1+fj5cXFz+EfpY+sDOzg6hoaFqcc7BppNT4r4wnEKhsNtp3Jo1a/D111/jq6++QlNTE06fPo3z589j/fr1zDYlJSXIzs4GRVGIjOyUSFBm8kpLSyGTySCTyXDs2DG8+eabyMjIYLYrLy9n1itfkyZN0mnshhba4nA4mDlzJiiKwrlz57B69WpERUWpbZOXl4c1a9bgiy++QF1dHebMmYMlS5YAALZs2QKRSMS8rl+/jlGjRmHRokV46qmnMGPGDNTW1mLDhg1YtmwZAMXDw8nJacBjcUrm+cuXL2Pp0qUICAhAcHAwtm/frvexHC0UXqNIIoeLRacHeTm/UWNbF3NHhDqNxZjkUxgX8z1G5l/Bwv2fYOPqeTC//ayTg8LhlAbE/HSY2S87O1vNuJuYmMDe3r7H6Xp7ezuqq6vh4eHR7Tb/VFAUpVXW+4HhHCDw+XyUl5cjJSVFjeUoJycHBw8exNGjRzFt2jTweDyMGDEChw8fVtO8PnLkCJ566ik89dRT+OmnnzSOn5CQgLa2NlAUhUmTJmHUqFHIysrq97iVrO6GnJJJpVImLhYVFQWZTKZRcXD58mVMnz4djzzyCPh8Pt58802kpKSgsVHdaMhkMqxcuRKff/45cnJyUF9fj61bt8LU1BQrV67Ezz//rBbHq6+vR1FRkd5jbmxshK+vLz755BMAwNGjR+Hq6oohQ4bg3Xffhbu7u9r2W7duRWJiIqKjo3HgwAEsWLBAb913J4tOz9DBpNPgJ5S1oEWkmcAxKbwB27IkAMDQkgSEXPoEIXOnYefhD+Crogd/tbARgmaFRymVShlPHlB4xCNHjuy2AkRZ3jVmzJh7ltW9v6ivr0dCQgJzX9nb2w8qD6cS98XVZ7PZCAgIgJ2dHZKSklBcXAyapnHp0iW4uLggJCREbXsPDw9cu3aNKaM5cuQIVqxYgSVLluDXX3/VmAJaWlqCxWKBpmlERUUhNzcXfn5+6C/y8/MNLrQVHR3NTI3feecdfPXVVxoEJgsXLsRnn33GvE9MTISJiYlGrdyBAwfg5uaGKVOmIDExEd7e3li5ciXs7OwQFBQEY2NjNS+zpaUFdXV1eiXUOjo6MHfuXCxatAivvfYa8vLy8Oqrr+KPP/5ARkYGEw7QBqVwnLOzM6P7riuFm6OKlykSy+FxO2EkJ8C1Ai1T6eGhgE9ntp7f0YiAq18gQJiLN346gMfmTmQkPXLzO2ObSedOgsjUxyQSibTSGFZVVYHH492VhDODBTabDQ6Hw/wGAwMDB1SCpDvcF4YTULj5Li4uCAgIYIrYKysrMXTo0B73S0hIAE3TCAkJQXBwMCwtLXH+/Hm1bR5++GHY2NiAz+dj+fLl+Oijj9QkOpRsQcqXLka1N6Gt5ORk3Lp1S2O5thgkj8fDCy+8AEC3xJCjoyPjxZ04cQLz58/H7t271WKsNE3jww8/xK5du5jjXrp0CQ8//DDKysqwatUqLFy4UC2Q7+7ujqCgIJ29JZlMhsWLF8PKygrvvfceAODnn3/G448/jvHjx8PGxgabN2/u8RjKMEFwcDDYbDbi4+Nx/PjxXhMwjioeZ7VAhBlenV5NVFETxDJ1409xzcB6ZCuoR7cDXIXHSIHAI+siQqIPYdHKJ7D02SWwMjVWUxXNb5Eh6dUpkOQq2jAJIUhMTNSI+yq90/50jP0TYG1tDT8/P/B4PLS0tODChQt3ZBz3jeFUgsfjYcyYMfD09IREIkFlZaVWL+To0aMQCAT44YcfUFxcDDs7O9jZ2aGiokJjul5cXIzW1lbk5OSgoKAAzz//vMZ61bhg1xq+rtBFaKs7w9k1Bql8HTp0CGKxGCKRSKeYUH19PR577DG89tpr+Prrr7F27Vq19X/99RccHBwQFBTELBs7diyWLVsGPp+PV155RWMqymazUV9fj46ODp28zoKCAjQ0NCA2NpbJyJeVlalJTuga+zUyMoKXlxfGjx+Puro6JCQkoLm5udvth1h2Gs4agRjjhprDzlQxA+mQ0ogp0b4vNWoWqOXfAS6dLZSWjaWYEn8Q80fysOOn/Rjmas+0CLLYbGzN5eHUmjlo+eYtEFEbRo0apRF+yMnJgYeHxz+C1d0QUJa4DZT0dG+47wynEnZ2dlixYgXKy8tx7NgxVFZWMl5IbGwsXnrpJfD5fBw7dgznz59HcnIykpOTce7cOZw6dUqj9aulpQXFxcV667FXVVXhoYceQmhoKBPDS0tLw5tvvonHH38cr7/+Onbs2IEVK1Zg9uzZWLx4MQBg37592Lt3r0bcsSfQNI3AwMBes8rt7e0IDw+Hra0tsrOzsWDBAo1tvv32W2YsgMKbVA1hKAu6u2Z+lyxZgr1796KyshJyuRwSiaTb1k8XFxdcv34dYWFh2LZtGwBFAkWV1SkvL6/3D64CU1NT+Pn5wc3NDVlZWcjMzNRKdqI6Va9pEYNFUZju2el1XiloBN2N10pZOIJ68mNQ4asBliJUwaGlCK+PxOS8v/DW/l0wsVNML5ubm9EmJfhXJh//+eI7VP4rGKbFcRqZ4+bm5gHTKLrXUF1djaioKDQ2Nt6RxBBwHxtOABgzZgwiIiLwn//8BxcuXEBMTAyuXr2KiIgIbN++HRcuXIClpSWmTp0KFxcXuLi4YNq0abC1tcWff/6pdixbW1uEhITozVi0Z88ebNiwATExMQyBxTvvvINNmzYhMjISzc3NiI2NhZ+fHy5cuIDW1lbU1NTg9ddfx1tvvaURGN+1a5fW8qfnn38ePB5Pp0TTjz/+iCFDhuCbb77RmqgghCAyMhIzZ85kls2ZMweVlZX46quvIBQKsX//fri5uWmoio4cORI3btxAc3MzDh48CDs7u24JWExNTcHhcLB37158/fXXSE9Px4wZM3D8+HEmGfXhhx/qcpnVQFEUHBwcEBwcDD6fj4SEBJSWlqp5wapT9RqBCIQQhLpZwYSj+MnUt0uRUtm9iBjFYoMKXgZq6ZeAdafBowgNcIwx/ZlHYOntgCtXLjFT9x8qjfH81SZk7FyC2r0RqMxJ/UeyuvcXpqamcHJyglQqvSOJIQCKH8E//RUQEEC6g0QiIe+99x7x8vIiXC6XDBs2jGzbto3IZDKydOlSsmHDBo191q5dSxYuXEiIwkUlVVVVGsdUAgBhs9kar1OnThFCCJkzZw4RCATM9unp6WTq1Kmkra2NEELIp59+Snx8fMj58+cJIYQsW7aMFBUVkW+//ZYcOnSo28+lDVevXiUFBQUay93c3MjNmzeZ92vWrCEURWmMubi4mBBCSGpqKuHz+UQmk6kdJzY2lgQGBhJzc3MyY8YMUlhYqHGu8vJyMm3aNMLj8YiXlxc5c+aM1rFeuXKFjBw5knm/evVqMmPGDEIIIe+99x6xt7cn9vb25M033ySenp56XYeu6OjoICkpKSQ2NpY0NDQwy8N3XyX+uy4R/12XSGO7mBBCyKn0GvLWnznkz4xa0iKU6nR8WiIkHX+9R+RfLCCNjSXkWlkCOV98g5wvvkEuZF4ny5cvJ0OHDmVeI4YNIT9MtyZlEUNIyfF9JC01tV+f7wF6BoAEoqdNueNGbTBePRnOrhCLxSQjI4PcvHmT1NfX67yfEjU1NSQyMpJ0dHTotP2LL75IEhMTiVQqJYsWLSKRkZHkxRdfJJGRkYQQQpYvX06eeOIJcuHCBUJIp+H87rvv9Dacv/zyC6mrq9PvAw0QZDIZqamp0Xu/xsZGUlpayrw/d+4cCQ4ONsiY6uvrSUxMDElLSyMdHR3kif/FMIYzq1LxcOuQyIhYKtfruCKRiHzzzTdE3t5ECCFEIpOQ5Npscr74BrlYcI20V2aQAwcOEFdXVzUD+toEO1L0hDmp2/EokVblG+Qz/pNw48YNNSelr+iL4byvp+raYGxsDF9fX4wYMQL5+flIT0/Xi/DX0tISjo6OOhd7b9iwAevXr8fkyZMxZswYjB07Fhs3bsSWLVswbdo0uLi4YMyYMRr7KesadY2pymQyCASCfpEfGxJVVVXIzMzUm4AlJSUFoaGhKC0tRXV1Nfbs2WMw9m9bW1sEBQXB3Nwct27dggWnc+peI1BUB/A5bBgb6fezaW5uhpWVFVgmCgkNDpsDP/uR8LHxgFfGOXCPr8GLgVY4efKEmi7WL9XGWJVqgvyEKNS9EYa23/eByPRj1P+noqSkBDExMXdMyoZSGNx/NgIDA0lCQkLvG3YBTdMoLS1FRUUF3Nzc4OzsPGBxptLSUjQ3N2PcuHEDcvz29nYkJCRg6tSpA3J8fSGTydDR0dEnHsUtW7bgwIEDEIvFWLhwIQ4cOKDWQmoIiEQibPolCVeLFUnADXO88XSQ/mJ/gIJtv6amBtOmTVNbTkri0fbLBmTInJAhdYSXHQ9+j72Af+/YjdOnTzPb8VkEb3uK8KiDDEZuY2G5+jMYe07o82f7J6CiogIXL17EM88802/aQoqiEgkhgb1v2YkHHmcPYLFYcHd3h7+/P+rr65GYmKhzB0pHRwcKCwuhy4NJKbTl4+PT3yF3C1NT07vGaAKK8qC+ks++++67qK+vR2trK3744QeDG01AUbY2yq2z1Cktv0yrdEddmwS3Knq+J2xsbDSSZAAAcwcUmvrinHgkymkrpNfLYP7bOnzxxlKsWrWKab0U0hS25fGxM4+H1sI0NGyaAcH3m0CLDK8Eeq9AIpHAycnpjmksPTCcOsDExAR+fn4YNmwY0tPTkZub22v9WEtLCyoqKnTSYx8Moa3k5GQN8tw7DUIIioqKUFpaeqeHohWqJUntNEdNukMoleNQbDl2XSjAkcRKtEu65zd1cHDQqgdE2bhh1LP/xe1EPeppM9R20KBOb8Mb4+T44+TPaj3pf9ZysCLFBPltQPtf+5WLovUAACAASURBVFH/RijEyRcN94HvIbi6umLSpEl3RG8IeGA4dQZFUXB0dGQKvnuTb3ByckJISEiv7ZKDJbRVXFx81/U3UxSFjo4Ore2FdwOcVIrgBTIWgoKCIJfLERcXh6a6GtS1SUAASOQEUUXd/4CPHz/erdAcl2+Kkb6dMex0mcLLtSyPwuhbH+Lv7z7C448/zqwvErKxMtUEv1VzIKstQeP7j6P5sxdACwaPX/VuQH19Paqrq5GSkqLWnTZYuLt+SfcAOBwORowYwcg3dCUOUYKiKGaq1V1yabCEtghRaMLfjT3Ovr6+d60WuJOFeveQsbExw/1ZXV0NL05nHee1gkZI5ZqJCrFYDKFQ2OMDVDX5l0YPA/MsbqkA/4838OZke2zbuoVpJhDTFN4r4GFzLg9tMkB4/Thq1wegI/KYTqGhfwLi4uLAZrMxbtw4ncmfDYkHhrOPUMo3KIlDioqKtMpRlJSUID4+XqskwmAJbbW1tcHS0vKO3GC9QfnAkEgkg/qj705CQxUOKlP1WoEYcloxPgsLC/j7+2OSlwP4LIWxFIjlSCjXjHU2NTXBysqqxwejl5cX0z3VKmOjIvhfgLEibksRGvZt+Vj85BP4+++/1R4y5+s5iEgxRVYbC6S1ES37X0TT+49DVlus20W4hyEQCBhmpDsxk3pgOPsBJXFIYGAgOjo6kJCQoNECaWdnB1dXV40vdzCFtszNzdWme3cbWlpacPPmTb3aR/uD3iQ0lOBz2LDiK+LOMpqgsb2T04CiKDgPHYKZI+2ZZeezajQenoQQjb7zrmCz2WoGMU3AA7X8W8DZD+DwwV/0PmzsHODt7Y2//voLERERzLblIhZWpZriSAUHMgKIUy6h/o1QtP35GYj8zvRxDzSkUinEYjFMTU0hFArV2qUHCw8MpwHA5XIxevRoeHl5ITc3FxkZGcz03NTUFK6urhp1nYMptFVUVDSoGkP6wtzcHC4uLgalz+sJukhoKKGaIKoWaMbSpnjYwpit8CbrhDT+vpGklrAYMmQI/P39ez2PlZUV839CQgJ+u3QTrQ+/A+rpz0FZuygSUkIh+Hw+dr/3Dv63ZyczU5ER4ONiHiKSTRDfzAYRd6D1h82o3zgFkuyY7k55z4KiKEyfPh0URaGxsRG5ubl61VobAve94eyrdIYSqtIYDg4OWLx4MX777TckJCSgvLy8W+mMpKSkQRPayszM1Cm7r01C49y5c/D29oapqSmeeuopRs+nJwmN/fv3Y8iQIbCwsMC8efNQVVXV43lZLBZGjx6NmtuiZqrQV0JDF+gqoQEAPE7ng00m1/RqTIzZ8HXsDLWY2johJycH6enpEAqFOnnSyiYA1Z79tLQ0/HriJCgHRRlTcnJyJ9NUwk+YX3cEf7+zHOPGdsZH8zvYeDnDBG9l8VAuoiArSUfDtofQ/L9XIBcMvDbWYIEQwhCeODg4IDQ0tFuimIHCfW84+yOdoYSqNMaxY8ewe/ducLlcRsgtKysLeXl5iIqKQnt7Oy5evKg23RpIEELQ0NDQY2KoOwmNpqYmLF26FHv37kV5eTkIIdi6dSuA7iU0xo4di+3bt+P3339HZWUlzM3N8e9//1unsXZ0dDB0a4bA+++/j/DwcOa1Y8cOvY8hUUn4dNcxxFNZzjUxQ3BwMMzNzZGYmIj09PQeY3CEdJJ4REREqPFtqpKoDB8+HMOHDwdprgSJ/R6g5XAvP4eTC0yw4fmn1Lz1K40cLL5lis9LjNEuA4RXj6DutQlov/ANyB3qtDEk0tPTER8fD0CRrB1sowncYcNJUdQrFEUVUxTVQlHUQYqijCkF9t1eVklR1GqV7YdTFBVFUZSQoqhYiqL6VTFuKOkMlfEx0hnFxcUMYXF2djZEIhH8/f1RXFw8qEJb7e3toCiqx2lwdxIaf/zxByZMmICFCxfC2toaGzduxLFjxzT2V5XQiI6Oxrx58xASEgIzMzMsW7ZMTX+pJ1RVVSEvL6/bNjp9JTQ2bdqEqKgo5tUXwylVISzmsLX/XFQNqkROg8Viwc3NDWPHjoVEIkFmZiZqa2u1xuEqKyvB5/NhY2MDc3NzLF68GCtWrEB4eLja57G1tYWFhQWamlsAp87bniuqx1qrBFx7ezaeXPBo57gJhW/LuXjilin+qjWCvK0ZgkP/QsOWmZAWJul9He4mCAQCNTo5gUCAgoKCQY1z3jHDSVHURABbAMwF4AFgBIANAJ4DMAuAL4CHAbxLUZQySPQ9gGsAHAH8CqB7K6YDDCWdoURX6QzlVNDf3x9sNhs3b95Ebm5ur6zzhoSpqSkWLVrU4zbdSWikpqaqxefGjBmDmpoajf5yVQmNF154AYcOHQIANDQ04Mcff8TEiRN1GquLi0u3DPH9kdDoD6Qq03NlLLMrjFUMqmpJkkwmw7Bhw+Dr64vS0lKkpKSoXTupVIrc3FwNVvfhw4ereZtKJCYm4vMffsUlm8cgmbkRMOnkHXBqTsNHowrwx/svwH98J4lyvZSFHXl8rEo1QVorC9L8RNS/PQ0tX78Bur17Iue7GV0F2trb21FZWTmocc476XEuBHCUEJJBCGkA8AmApwBEANhDCKkghKRBYRyfpijKFYA/gF2EEAGADwG4UxTV5wBYU1OTQaQzlNIY3UlneHl5Ydy4cXjooYfwxBNPwNfXt0dyix07duDixf51hChjkHw+H3Z2dhoSGrqg65Ody+XCyMhIre20q4QGh8OBsbExDh06BDs7O/z++++MQmZv4HK5WkumDCGhoQ1dQxPaoDpV787j9LDlY6qHNWZ728LNunMmYWtri/nz58PKygoBAQFwcHBASkoKI12cnZ0NT09PncrExGIxLl++DJqmcePGDXx+MRtpgZtB/BYB1O1xyaXwb7iE3xea4uPN69Ri6BltbKxKNcXWXB5qRUDHuUOo+1cAOiJ/uudqP4cMGaJGVuPo6IhJkyYN6pS9/0LdfYcxANV2CgrAcABDAajOJTKg8ED9AGQRQsQAQAihKYrKBuAFILvrwSmKehHAWwCsrKystHokDQ0NKCsr07ru4sWLCAsLwzfffIOioiLGgAiFQnz88cdq/dFHjx7VIFRVPebRo0dhbm4OmUwGQghaW1tx4sQJmJubK1hzunhYxcXFMDc375eOenh4OM6ePYuCggJYW1urja8770wkEuHWrVtMJ0Zrayuys7OZ7aVSKWQyGdLS0pCbmwtAIf7G4/HQ3t6udlxvb2+cPXsWf/31F+bOnYsTJ06ofZ7m5mbw+XxGCoKmacTExDByGWZmZjAxMUFycjIKCgpgbGyM8vJynDp1CpaWloiNjYW9vT1zztLSUohEIoN7nm0dnYYzIS4GeVztXqeyKKmyHqi8/X9TUxO4XK5amEQulyMtLQ03b94En8+Hvb09CgsLex2HSCRSu35tbW34/fRZXLawwFiXFQhsuAiLjnIAAKu1Ck/gNNz/HYFvI/Nx5swZZpb0dx0HVxqMsMpFgmXyOtD7X0LVyU9RM+VlSGzuHYb52NjYOzsAfXnoDPUCMA9APgB3AHYArgIQApACcFHZbhmA87f/XuxyjAsAnuntXN3xcWZmZhKKokhqF6LYmJgYYmZmRiQSCXFwcCBXr14lZWVlpKysjFy5coWYmZkxfJvQQmSsCgCktLSUXL58mYhEIma5WCwmmZmZ5LnnniMLFiwgoaGhZOXKlYQQQrZv304WLlxIJk+eTJYsWUIIIWTGjBkMP2hwcDCJiooiYWFhJDQ0lJw+fbrb8x89epQ0Nzd3u14VXQmNv/rqK7JgwQLmfXJyMvH29lbbZ+HChWTv3r3M+3fffZf88MMPzHuJREIoitLgNp05cyY5cuQIIUTBzUlRFKmqqiI0TZOEhATmml65coW4uLgQiURCHn30UfLKK68QQghZv349efXVV5njnTp1iri5uen0OfXB1D3XGE7Opnb9uB9Pnz5NSkpKNJbTNE0uXrxIbty4QeLi4khTU5NOx6NpmqSkpJAPPviA7NixQ+116tQp0hr3K5Hvf4TIPwwn8m+XEVqmGG9JSQn5v//7PzWuz6FDh5LA4U7kh+nWpOJJc1K5xJq0fL+ZyIWten3GwUZDQwO5ePGixvK6ujqSlpZGaJrW+5i4l/g4CSF/ATgMIBpAPBReZi2AZgCqmRMTAE1alquu6xN8fHwQERGBJUuWICYmBkKhELGxsX2SzugJBQUFakJb5Ham29LSEvb29nB0dMTBgwdBURQzfZw4cSIiIyMZqYz58+fj7NmzyMrKgq+vL44fP45du3bh4sWLWjk5lRIaERERsLW1VZPQ0BULFy7E9evXcf36dTQ1NWHTpk145plnmPWEaEpo2NvbY/fu3SgsLIRIJMIHH3yAsWPHasRPR4wYgZMnT6KiokJNQoOiKEyYMEFNhG2gJDR0gXpWXb+22KamJq38pyUlJXByckJoaCjc3d2RlZWFjIyMXnuuKYqCl5cXZs+ejdDQULUa4KSkJOy/lIe4cW9B7vMIqBmvg2IrYvSurq44dOgQjv90VI2Bq1LMwoYcPl5K5yNXQKP9z09Rtz4IwphTd+30vampSWuHnlwuh0gk6jb/YGjcyeSQB4DfCCHOhJDhANIA3IRi2q3K3OsLIAVADgAfilIEdG7/HQkgtT/j+Prrr7Fs2TIsX74c1tbWWLFiBV577TW8+eabOHLkiNaOm/nz5/eYXe+KWbNmwdPTkzFeHA4Hv/zyC+rr68HlcjF37lxYWlrC2toaKSkpIIQwGXkrKysIhUIsWrQIf//9N06fPo1FixZhw4YNOHnyJCIiIrRO6bdt2wahUIiioiKmVEomk+Hrr7/Wedy2trY4fPgwVqxYgWHDhsHBwQFvv/02s15Zq6jKIfrcc89h9uzZmDhxIhwdHREZGYkTJ05oHHvz5s1obGyEl5cX9u3bh8OHDzMhC4qiQAjRqD319fXFqlWr8Nprr2HevHl49dVXMXnyZPj6+iI4OLhfoY3uIJV1GpDuYpzaIJFIIJFINCoVxGIxioqKMHLkSFAUBXt7ewQHB8PU1BQJCQkoLi7WahhUIRAIEBQUhJdfflmt80wsFuPc5UjcMJkEylWdr5MQgok1J3HmX5Pxn51b1Az6LYERIpJN8H4+Fw3VlWjet1zRulldgLsNXePuSjg6OiIwMHDQ2orvGJExRVGLAewCMA2AFYA/AbwMwBvAcgDzb///J4BJhJA8iqJioMimfw7g3wCmE0Km9XauvhIZ9xeEEERHR2Ps2LEaX7ZMJgObzcbOnTthamqKt956C88++yzmzp2Lc+fO4dFHH8Xjjz+OiIgIptRm9uzZMDY2xokTJ7Bv3z6sXbsWXC4X4eHhTF2bKkQiETgczqB0JxkaJSUlKCkpQVhYmFa6vaamJrS1tTGM6efPn8fWrVsNGvuS0wRB710BoAjAJ2yZrrVovlIgwsVcBcmHkwUXc33sQdM0BAKBWkcQANy6dQtOTk5ak5IikQgFBQUQCATw9PSEvb291vPRNK0WF8/Ly8PZs2fR2NgIPp+PdevWaZS7keyLIGd2Kt5wzdAy7hl8fCEP3x0+rEaRaMYmeNFVjKecpDDicmH22HqYLVwPynhwyud6Q2JiIiwsLLTzm/YR9xqR8QkAlwBkAogEsJ8QcgnAIQDJAEqgMJL/IoQoNWBXAFgMoBHATAArB3vQ+qC0tBRWVlZan5BGRkagKAo0TePatWuYOnUqeDweFi9eDBsbG5SXlyMzM1PN+wgPD4elpSV4PB6CgoIwa9YsTJo0qdvp982bN/WWz71bYG9vD09Pz26LxwdSQkOJrsXv3XUatYnliCtrQVJlK/LqFUxZbW1tGg+shoYGSCQSDBkyROtxeDweRo8eDR8fH5SWliI5OVlr9YXymiidHm9vb7zyyiuYNWsWHnroIQ2jKRQKISlL61wgboNl/EFsH1GBCz8dUGOmb5NT2FfEw5JkE0TXytD2627UvREC0a1z3VylwUVAQEC3RrOqqgrx8fGDEmZ4IJ0xQJBIJIiOjkZ4eHi3BMU0TePFF19EWFiYhvGTy+UoLS1FZWUlXF1d4eLigo8//hje3t6YN2+eTmP49ddfMXXqVNjb2/e+8T2IgZbQEAilmPbBdQCAGdcIkf+eonW74kYhPrhWDABwteLh39OHM1nz8bdrKmmaxvXr1xEYGKjTGAkhqKqqYhi0hg8fztxHcrkcKSkpcHBwgIuLS6/HOnXqFAoLC/HQBE+Myv8JVEu5yloKZMw8XJGNwo7396CoqEht30nWMqx3F8HdhIAbPB+Wz+4G265vEiKGQExMDAIDA7WGZerr61FTU4MRI0boRQp+r3mc/2hkZGT0+gWyWCxYWlrCzs5OYx2bzcbw4cPh7++PxsZG7NixA3///TceeeQRnc4vl8shEAjunO60AUAIQV1dHZqbtRdqD7SEhq6JIdV1yn2am5vV4ogFBQVwcnLSeYwURWHo0KEIDg4GRVGIi4tDeXk5aJoGm81muAF6Q3l5OZKTkyEQCPDr1SR8z5qNmrErALYyFkhApf+JGSUHcenzjdi2bRvMzc2Z/aObjPB0sin2FXFRd+NP1K0PQtsfn9wR0TipVIrMzMxuQ092dnYYPXr0oMhpPDCcA4DGxkaIRCKdOoQ+/PBDPPbYY92uNzExwbhx47BmzRrs3LkTeXl5GgQk2iCTyTB+/Ph7Mr6pioKCAlRWVva+4QBAokO7JQBwWKqdQ4oZnGpGvaOjAxUVFfDy8tJ7DBwOB97e3hg/fjwaGhoY6kJfX1+dSGLa29vV6khLS8tw8EYlTru8iPZhKh1dwhZwLv0XL9hm4fq1K1i2bBkTmpATCkcrjbEo0RS/FEvR9MNWBfNSzuDWUgoEAlhYWPRKzjIYypcPDKeBQdM0Q9qgK6u7XC5HUVFRt54VRVFwcHBAUFAQjIyMEB8f3ysHIZfLxYQJ97YSIkVR8PPzG1ARu56gyobUk+Hs+jUTQjBhwgTGc0tPT8fo0aP79RAzNTXFuHHj4OHhgdzcXKSlpaGjo6PXNsORI0di3bp1CAkJUYsX30rPxucF1rjpvRpys87SL1g4wd5xCPbs2YOzZ88iNDSUWdUiY2F3IQ/PJJsgKjUbDVtno+Xga6DbBodHtaWlpVeBv5KSEty4cWPA45wPDKeBUVhYCEdHR71Y3SmKQnV1dbeGUwkjIyN4eXnBz88PNTU1uHXrFkPz1hUxMTH3bGJIFXw+f0BlRXqCat+5sR6lSDRNY8SIEcz3ymazDRJnpigKdnZ2TOvv6dOnce3atV6FA3k8HubMmYPVq1ereb1isRgXb+XjgCgcOW6LQExsQU1+hVk/ZswY/Prrr/jyyy/V9N4LO9hYm2GC9Zl8ZP35Her+FTgorZvu7u69KrVaWFjA2dm515Ku/uKB4TQghEIhysvL9S6VYLEUQmC9MYUrYWZmhvHjx8PZ2Zlpf+xa+FtTUzNoxMADjaampm7lRwYSEjWPU3fjnZ+fzxi07OxsjB492qDjYrFYcHV1xcSJE2FhYYG4uDhUV1f3arjs7e2xbNkyPPPMM2oNCY1Nzfg5vRVls/eA4nfx6ESteJSfhytnT2Hjxo1qMdrrTUZ4OskUH6a0ovzjl9C4az5klQP3sK6tre3VIFpbW2P48OEDUtOrigeG04BIT0+Hr69vn6Zkyi9aLBbr9OSmKApOTk6M6mZ8fDyqqqqYlrDGxkatSad7EcpaVF1iu4aEVAeCD21obm6GlZUV8vLy4OrqOmDkE87OzggNDcWYMWNQWVmJW7duae0i6wpvb2+8/PLLePjhh5mxeXh4wM1D84FPrn8BpJwE9+hzWDvdA5GRkViyZAkzC5ARCj/ejn8evXgTVW+EofXn90AkhleejIuL63VWBkBr84Sh8cBwGghK9nJVFm990d7ejtjYWFRXV+u8j1J1c+zYsaisrERSUhIaGxsxdOhQpsXzXoVSUM3MzAwTJkwweNa8N6gZTh3bLQk6yT3q6uowfPjwARqdAsoOJX9/fzg7OyMjIwNZWVm9xj7ZbDZCQ0Oxbt06BAYG4uGHH9YIiTQUpkKedlrxRiQAOb8bDpHv4YPNr+LMmTMIDg5mtm2+Hf9clmCES199gLo3QyFOvWzQz9pd11BXFBQUID4+fkCTRA8MpwEgl8uRlZWlJvPaF5iYmMDV1VVrf3NvMDc3Z3q8lXRlvcW+7mZoE1RT9iMPFqS6Joe6vLe1tUVNTY1eCcK+oqKigiHddnJyQkhICHg8HuLj41FSUtLr1NbExARz587VeODLZDL8+NdVHGQvQL6xSjVAeTLI989iTFs8Tvz8Ew4cOKBWS1rQwcaaDBO8dqUSyZsXoemT5yBv1pRE0RdSqRQSiUSn8JOjoyNGjhzZ73P2hAcF8AZAdnY2OBwOPD09B+wc+iAtLQ3Nzc1gs9nw9PRkyDPuJdA0DYlEgpkzZyI6OhqEECQkJMDY2Jjp4x9oXM+rx2vHFFQIk7xs8dlS7ecVSuW4WaKYQvKMWHA1akdDQ8OgjFMsFkMqlcLU1FTtOxYKhSgoKEBbWxs8PT1hZ2en1z0QHR2txgnrZWOM2eJI2LFUOpmsXEDNehNih9E4dOgQPv30U3R0dDCrjSiCp4dI8cIILoau2A6T2c+BYvWtskAmk6G8vFznPIA+eFAA3wf0Jtbm7u7OcDwWFxeDoihs3LiR2b+trQ2HDx/GK6+8ou3wfYJIJEJubm6fPcaKigoMGzYMo0ePRllZGQICAnDlyhW1bboTYesJPB4PxcXFassGQkwN0BRUoygK7u7uOilTGgq6sL8DChnhGV62mOFlC0++BBcuXBi0EioulwszMzMNo8jn8zFmzBiMHDkSxcXF3bZvdgclIbUS+Y0SfCkMw3l2KITkduKluRzk13/B+MoHWPt8BKKiovD0009rxD8XRsnxzbsbUbNpJqRFKX36nIQQnbqklJBIJGpqo4bGfW84dRFrUwWLxcKnn36K7OxsRmjL2dnZoB6dVCpFdXW1GtO6PlCKs8XExODQoUNISkpCbm4uCgoKIJPJehRhG2zoI6hmb2+vQZoxkFCNcRrpmBxKSUmBlZXVoLH0AJ3kINqSZ9bW1ggMDISjoyNSUlKQk5OjU5ItODgY69atU5NOoWmC2GYzfC6ZiQTaEzS5fc9nnQNK4uHo6Ih9+/Z1G/986kQ2zqyeDsHht0ELe39QqyIjIwP6zBpLSkqQlpY2YHHO+9pw6irWpgoOh4PVq1dj7dq1jNCWPjWbusDc3BwTJ07sU7ukWCwGTdMwMzNDVFQU5HI5zMzM4OvrC6lUivj4eBw5ckQnETZ9oa+YGqC/oJpEItEpdmcIqAu19f5gbG5uRmNjIyNdO1hQTmO7mzUo2zdDQkLAZrMRHx+PsrKyXo2KmZkZFixYgBdffFHN0xdK5Pi7fTgOymegUGYDuAYAo2Yz68eNG4eTJ08q4p/Ozszygg42Xknn46UPvkbCi4EQJalL0PSErjpDvcHZ2Rn+/v4DFqK6rw2nrmJtXbFz505kZ2fjyy+/1BDaMhRUy5P0AZfLRUREBCiKUhNh43A4GDVqFHx8fBATEwNnZ2cmHtWdCJs+GCwxNSXH6EBOw5SQqcT/2ayef4DK2Yejo2OPUswDAVNTU0yaNKnX8yobKPz9/Zna2Pr6+l7L34YMGYKVK1di8eLFasarTkjhF2kQRJPWahooIsf8+fNx9do1bNiwASb8zpKsyEYOnrzSii0vLEPJ3lWgWxt6/YzKdktdYWJiAnNz8weGcyCgi1ibNpibm2P9+vU4dOiQwWoLk5OTcevWLbVllZWVWLNmDSO0pvrqTnStoqKiR21yKysr8Pl8ODg4ICkpCYWFhQzBcl9DAwMlpgZoCqpZWFggNDR00GtUKY3ceSdEUjn2XsxFZLst0jgeA5LA6AkURelV8K3kP/D29kZhYSFSU1PR3t7e4z4URcHX1xdr1qzB9OnTGadi8tRpMBmi3oNP5DKQn9eB3PwWPK4xXn31VVyPisbixYuZbeSEwk9Vxnhk/zl89vgECKI0ya5VMXToUL2rTVpbW1FVVaXXPrrivjactra2qK+v17ru6NGj3RqS5uZmhISEwM/PDzt37jTIWLQZTltbW2zZsgVtbW0QiURqL6UErxJKqQxXV1fGeHUHa2trGBsbIygoCGKxGNHR0ZDJZBrxw7q6Op0KiZUCa7GxsWhoUHgPZWVlalNWVSmM/oCiqEFVM1SCoHuvTCwWo7SNRpWQQkFd+x2RnZDJZEhPT2fqiXWBjY0NAgMDYWtri+TkZOTl5fXancXhcDBlyhSsW7cOYWFhar3sSpSc3g+6IgPk5jcgv64HaauHk5MTPv74Y/z9998IDujkUGiRUdiTKcMjz67BqTWPQNakvYY5ICBA7064mpoa5OfnD0ic8742nFOnTkVhYSHS0tLUlsfGxuKll17SIIRVIi0tDePGjcPnn3+OL7/8Uq3WsKqqCg899BBCQ0OZWF9NTQ0effRRTJkyBa+//jp27NiBFStWYPbs2cxTeN++fdi7dy8aGzsJE7hcLtzd3XXyJrZt2waZTIZjx45h+/btPW47atQopKenw9jYGD4+PqAoCsOGDUNeXp5aOcnSpUtx8uRJAIrqA4lEotVoubi44Pr16wgLC8O2bdsAKLyauro6ZhtD980XFBQgO1tD3NSgUPMxe7CFudlZzP/yO1Tdx2azIZVK9Y79slgsuLi4MMkcVfq6nmBubo6HHnpI496sra7C90nNONgRggKZDVCeBPLDKpBiBZPSuHHjcPLUHzh48CCGOXbOGoqFbLzyeyqenhqAlCMfqj18mpqaNCS5dYGrqyvCwsK6JcPuD+5rw9mbWJu2GCchBDY2NrCwsICnpyfeeOMNxkACwJ49e7BhwwbExMQgPz8fAPDf//4Xr7/+OiIjI9Hc3IzY2Fj4+fnhwoULCmyKnwAAHaZJREFUjBjb66+/jrfeeksjIaT0JLu+tLG+y2QyrXINXdFVhG337t1YtWoVbG1tmem7XC7vVlCtK+6EmBqLxQKLxRpQ706X+Fh9fT1ouQxM7oii7ojxpCgK/v7+fQo9Ad3T1+mLC5cug4BCHW2Go8IJONbhh/o2CcjJN0FfPwAil4GiKMydOxdXb8Ri01uvw9S40/jGNADzNnyIN+ZMQG2uooa2paWlT9+zsbHxgPWs39eGE+hZrK0rlH3kql0JGzduVMs4ZmdnM0/vzz77DACQlZWFsLAwAIC/vz9KSkoYgTM7O7sep8Pbtm1DXl4eIiMjIRKJehRdY7PZePzxx3vtldcmwrZp0ya4uLggMDAQYrEYcXFxeOmll7oVVNOGwRRTGz58OMNANBjQ9rOlaRrp6ekYO3asWmeRahnTnUB/Kg5U6evy8vKQmpqqNgvpCYQQuLm5qZVi5cnt8WVHKM6JRkAYdxzkl3UgrYpwAo/Hw5p/vYEb8YlY+ugMxhjRoHA8vRaTZ8/Bp+ufRX1drV6JIVXU1dVp1B4bAve94eRwONi0aRPy8vIgEomQk5ODtWvXMuuLi4sZTZb29nYUFxerGQAul4vc3FycPXsWgGJ6kJeXB5lMhqeffhoA4ObmxsQv4+Pj4evrq/GD78kAuLq6IiQkpFfDIxAItG5TXFysEYuaP38+ioqK0NbWhm+//Zbpa+dyufDx8YGPjw8kEgk+/vhj1NfXIy8vTyv7/LRp09SmzF988QUuXbqEpqYmLF++HLW1taitrcXs2bMHJNssFAoHrFavN5Ocn5+PoUOHwsTERK1cSXqn5utQ1JFmZWX1vmEPUNLXBQUFwdraGklJSTrFPymKQnh4uGb9J1iIk7pif9skxBW3QPb98yAF0cx6Ozs7fHDoB5w98yfCPDtj4W0yCv/9+QJeiViMrJhrffI6W1padGKO0hf3veHUFb0JbSmxYcMGrF+/HpMnT8b8+fOZZVu2bMG0adPg4uKitaddWf+ojd2GzWaDzWaDENLjzZuenm6wp6uVlZVa4kBZPK8rBkNMraWlRS0hNZDo+rvr6OhAVVUVw29pxFI1nHfO47SzszOYXAqLxcKwYcMQFBQEQgji4uJQUVHR5/pPETg4Jx6JLxt9kXdiL0hepNp+o/0m4JdrCfjqvU1wM++cNVW0ybD1g8/w+PQwpCUn6fUZPDw8EBISYvCZyYNedR2gr9DWQCEtLY2RxNB2I5w6dQpBQUF9jnN1B4lEgoKCAjQ3N/coW9sVAy2mRghBeXk5HBwcBoQJ6q+UKmz7Q+G9PTrWEe8u7OTVjI2NZXrAAWDXhQLUtilK0zbP9MAQi3ubmUob2tvbkZ+fD7FYDC8vL50MNCEE2dnZOH/+vBolnDNXjOfe2A4WR/t1krS34uBbz+Hz09EQyDrvNQrA47PCsem/nxiyUuNBr/pAQF+hrYGCg4NDtzeLkoNzIKbDyuy7r68vSktLkZKS0mvdHzDwYmrKaoCBos/jG3d6PR3izrhhVVUVjIyM1GpJzVTyiNWt+jUtGBo0TevEPaAvtMU/dan/9PHxwZo1azBr1iwm/vnwgic0jKaqE2dsao61//sFV347hkVuxmBTinUEwImLUQgPCcKHu7boVC5XXl6O3NxcPT9tz3hgOHtBf4S2DA1HR0cMGTJEq7dH0zTCw8MHlIPT0tISAQEBsLe3R3JyMvLz8+8K6jplHMvQsDLptIbNQkWIpDtWdztOp2EtaRpYEt3ekJ+fj+Tk5AGJ/XaNf+pa/2lkZIRJkyZh3bp1mD9/Pob5Bqitl8ukSDy0AdLYoyDyznuK5zEOU9a9iz93vIQpKj0PQhmNfV9+i0kTxuGXoz/0+FklEglEIpFB45wPDGcvMITQliFBCEFNTY1GyyFN04NCa0dRFJydnREUFASZTIa4uDjU1NTckaJvJSorK1FcXGzwMVjxVQxnh8Iw5OTkwN3dXaOedYRTZwlYadPgcYZqw9ChQzF69OgBrThQxj+Dg4OZ+Kcu9Z9KUuquSPrrME5XmeKLcynIPLgOdIWiFEkgEMDcygZ+/7cdRyKT8dWycHibdD6kagQd+NdbG/Ho1DDE3Lyp9ZweHh4YN26cQa/HgxhnD6iurkZ5eTkCA/UKfwwolDepubm5Wp98fHw8WCwWAgICetjb8BAIBMjNzQWbzYa3t7fBCU90gUQiYRJohkRDmwSzP1K0fFqZcPD7C35ISUlBeHi4xo+wpqkVaXViuNuYYJgVD1yj+8snUY1/enp6wsbGRmdDJRQKsf/D3eiQd14zN3YTZvs6YsjDqyE1MlGbSYnyEvD95tXYH1eBBqn6dZ4zJQxb//OBXm2vD2KcBoRMJjMIq7uh0Z1kbkNDg8GyqfrAwsICAQEBDG2ZshRrMGFsbDwgMwILfmdpl0AoRUpqares7tFXLmCcFQ0vO5O7wmiKxWKdPEBDQRn/9PT0RH5+vk7xTyWMjY0xeeYc8Did161Ebo2v0sQ49dlWtCT8rjab4HkH4oXj8bh0cDee8+LAmOpcdzbyJqZNmYxdmzeqVajk5+drdAj2B3f+G75LkZeXBzc3tzvSF90blAS/NE0zN5SSg/NOQElbpjptUwrH6QqlvlBf0dHRobNYma7gsFkw5ymMJ00ANs9Ma1cWIYQRaLtb0Nraivz8/AFJEnUHiqJga2uLoKAgpowtNze3VyIcNpuN0LAwvLr+TYT4jwGLaTegkCq2x1cX03HtfxsgqcxRO5f9Qyux81w6zry9DHMcOqfvUjmNL7/7ARODJuDbrw5CKpWCy+V220LdFzwwnFrQ2to6KEJb/YFIJEJsbCxqampA0zTc3Nxgbm5+R8ekKhxXVVWFpKQknX642vSF9AWXywUhxOA8naoJIush7lq3aWtrA5fLHVTy4t5gY2ODkJAQvTgsDQXV/neKonTm/+Tz+Ziz4Am8vGYtRjh3ZoKkMMK1elN8/tV3SP15n/q5eGbwWbMXX569iSNP+2Oceef339wuwpbtOzFjYjCys7IMmgN4YDi7QMmrOBhCW/0Bl8uFjY0N+Hw+WCyW1rjbnYK5uTnTN52WloacnJwes64+Pj5ITEzslywGm81GQECAwcMVw207S6hy67pvPVS20AJAi0iKvzJr0SQcXB14VbBYLIN6WH2Bav+7PvyfdnZ2WPp/a7BsyWJYsDuvoYDwUNuuPQxk5Dgc0/f9hd+OH8V/w6wxhNtppAsra/HsqlV4ev4jBpuu3/eGs6vmkIeHB3788Uem5rA3zSEA+O677zBnzpxBHTdFURg5ciQsLS2RmZmJ1NTUbredOnWqGpfnc8891+vxtekLAbprDCl134ODg8FisZiuE20/mq76Qv0BIcSgSpjetp0eZ2q5dppBc3NzjB07FgBwIbcB287m42xOA64XDjzZck+QSCTIzc3tM8+qoaCMfyr5P1NSUnQizR7uNRILlq7CvOmhMGXTMGVJEf7kiz3uw/ObgWXHk3H+s214dSQbpuzO+y06KQ2PzJmD9S+/0O/ytfvecKpqDtXW1mLnzp1ISUnRSXPoboBcLkd+fn63bPUAUFhYiJaWFobL85tvvhm08RkZGcHb2xt+fn74z3/+A39/f4SFhfWqL9RXZGZmIiUlxSClSYQQ8ISd/JZp5drjpzdu3EBhYSEAwMGMw7AjRRU1QyK7c+2XLBYLdXV1OidpBho2NjYICgqCvb09UlNTkZ2d3aPCAU3TcHV1RcCUh7H2zbexZMkS8MzV48iN5Xk4//VuCJs7KQwpthFs5r6Mt/5Kw7kty/HkUDnY6Cyg//mPMwgPDca+3e/pTGDSFfe14eyqOVRUVITp06fj+++/10lz6G5AS0sLysvLu80qi0QiGBkZDUhhvD4aQ2ZmZvjss89w7tw57Nu3D4cOHcLbb79t8DENHTrUYLHpoqIiTBhuD/ZtT7igrh2tIs2pYl1dHTMtHjvEHLa346IdUjliywyXrNIXRkZGmDhxYq/8CoMJZR1wcHAwOBwOEhISutWQysvLw83btZk8Hg8u3poVLhdPHsHNcjH2f/oJ4k59C7lK8TzLxBLDX/wvPjwTh5PPT8Yk6851QqkcH372P4QHadaU6oL72nCqag41NzejtbUVLi4uOmsOHT9+fJBHrAkrKys4ODjAw8ND6/ri4mJIJBJMmDABNjY2WLRokUG6bPqiMURRFBwdHREcHAwul4uEhASdkgb6wNra2iA68iKRCKWlpRjnOwrejoqwDQHwV6q6FEPXjDqLojDNszPO+mdGLdKqBi+z3RXK63C31WsbGRnB09MTEyZMQFtbm9ZGit50hirTbiCrSWHCOggHfyeX4sB/tyMn+ozacYzsXRG46ziO/H4aBx52g5dqAX1z376b+9pwKjWH9E0ImZub46OPPsIbb7yhU6xmx44duHjxYr/G+u6772rVHnrppZfw5JNPwsjISOuPo6mpCb6+vjhy5AiKi4thaWmJ5cuX92ss/dUYYrPZ8PDwYETDEhIS0NTUpKEv1FfI5XJUVlbqLXSnivT0dPj4+IDNZiPMs7PM68Pzebic3TktlMlksLW1VUvEhLpZwvR2n3uHlMaXMeU4mVYDGT34xosQgtTU1AHhpDQE+Hw+Ro8eDR8fH5SVlSEpKYmJyba0tPRoOJ1Gh+KJiT6wZHeWO9VLjXHsYjx+2Lcd1TnqUjTGXoEY+sqn+HzXRmydYAZbTt8f2Pe14VRqDhUXFzOs7kr0pDkEAIsXL8aYMWMMpjnUG7Zs2aKhOyQSibBt2zbk5uaiuroacXFx2LFjB8MSv2vXLoSFheHChQvw9fWFhYUFPvjgA1y+fFmDHEFXfSHAcBpDJiYmGDt2LDw8PJCTk4OMjAyDJHaUSZHu9KR6Q11dHWiahqOjIwBg1SQ3jHJSlHrRBNh0MgOJJYrED4fDwbx589T253PYeDlsGKxUCugv5zfio8hiNLQbRtxPVyg1mu6mUiltsLKyQkBAAIYOHYqMjAxkZmbC1ta2x9pkFouFMbOfwpo3NmKGlwWM0TkVL2pj4+CxP/DHgffQWlvGLHdzd8fQh1fgpd/ScOGjt/F/3t3nBnrCfW04lZpDly9fVmN1701zSAltmkM7duzAU089hbCwMDz77LNq206ZMgVLly4FAMycOZMxOiEhIYiOjsbEiRMRFhaGM2fO6PwZysrKIBQKwePxYGZmhk2bNjEs8du2bcOZM2fUvF2pVAojIyONH5Ku+kKAYTWGVEkjTE1NkZCQgOLi4n7VY/L5/D7T68nlcqauVAkzrhH2P+OHYTaK+0Eip7H+eCpyqltRUlLCSKSowt2Gj43Th2O0Y2cLakmTCLuvFCG3bnCTNSNGjICzir753QrVSgwTExOIRCI0NDT02onG4Ztj8rL1WLf6/xDgwALFJIIoJNXI8NkXh5B0+nsAnXyllJExHBe9ih3n+5bkva8Np4+PDx555BHs2bMHCQkJOmkOqUKb5hAAjB49Gjdv3gSHw2GmnxMnTkRkZCSjMTR//nycPXsWWVlZ8PX1xfHjx7Fr1y5cvHhRa/dLd9pD27dvh62tLaysrDB69GgNg9jY2IjVq1cjOzsbAoEAGzZswJNPPqmRTNJVXwgYGI0hNpsNd3d3BAYGor29Xeeav+5gamrapzhnfn4+XFxcNB6aNqbG+N8z42Fnpri+bWI51h5NQXJeWbeeuhnXCC+FuWDhGAcoeY4pULA3HXzvjxBiMCnrgQabzYaDgwPq6+shkUgQFxeHysrKXu8FM0c3zHt5K156ei68zDoTu1KwYWHbeS+3t7czjRmUcd86A+9rw1lfX49NmzZh5cqVOmkOaUNXzSEADPuLn58fKisrmf8BxZREKBRi0aJF+Pvvv3H69GksWrQIGzZswMmTJxEREaFV/kKpYqn6kkqlWLFihdp0RiwWqzEnRUREYOnSpZgyZQo8PT0hl8uxf/9+jeNv3rxZL30hYGA0hng8HkaPHo2RI0cymt99LRkpKyvTq2ysvb0d1dXV3SbanK352P/MeJhxFZ+LxQIamnsWx2NRFGZ522L9FHfYmnCwPGAIrE36Nj3sDzIyMnqs9b3b0NLSAoqiMGrUKIwdOxY1NTVMLLw3OI4KwjOvv4NnZgbAniOGt4UcnqGdddaZmZlM+VifQQj5x78CAgJIV8jlcnLlyhXS3t6usa4/2L59O9mzZw8hhJDnnnuO3Lp1i2zfvp1cuHCBEELIsmXLSFFRESGEkFmzZpFHH32UCIVC8t5775GWlhYiEolIYGCgzueTyWRq71NTU0l0dDSRy+WG+UA6orGxkZSWljLvz507R4KDg/t1TLlcTkpLS0lUVBTJz88nUqlUr/2LiopIWloaoWm6121pmiY3b94k9fX1vW6bWNJElnwZSyqaOsiPP/5IWltbdRqPRDa434kq6urqSFVVlU7X4m5AdnY2uXz5MvOepmlSW1tLYmJiSGpqKmlra9PpODKpmLQ1VKota2lpIR0dHcx7AAlET5ty33qcqkJbhsb169cxdepUcDgcNdGqrggPD4elpSV4PB6CgoIwa9YsTJo0Sav0rzY0NTVplBYpSzwGQku6JwyExpCq5o1UKkVcXJxewltubm4YM2aMTlP2qqoqcLlcnYhSJrha4ccXgjDUio+nn35aZ2Z7VSXMwYadnR2cnJzumrbc3kDTtBrDPkVRsLe3R1BQEKysrHQmUGYbGcPURr2O1cLCov/tqPpa2r6+AFwHEHr7fwrAPgAtACoBrFbZbjiAKABCALEAfFTWLQdQDkAA4AsARrqcu6vH2d7eTq5cuTIgXpmqd9kb9u3bR/78888+nysxMZHExMT0eX9DY/PmzcTW1paYmZmRiIgInb0CXdHS0kISEhJIYmIiEQgEOu8nkUh6/K6lUim5fPkyEYlEeo1HIBCQ4uJivfa5k5BKpaShoeFOD8MgkEgkJDc3l0RFRZHS0lK9f8t1dXXMtcDd6HFSFPUwRVEHAISrLH4OwCwAvgAeBvAuRVFK1+x7ANcAOAL4FcBPt48zAsCn+P/27j826ruO4/jzVUrnwJa1LnR1sLCCdCCFlJLBFiOp8Uei/2gWf+xH3HQ/YqImi864uJBs879FXYwzRkjMjHNZYkymLvMPooPogLUQaCmwljVtt1ImTWl73ErvaO/tH9+7ppReue+19H69Hwlp+V7v+jl4993v59f7A98ANgCNQFbbd06ePMmWLVuW/K5sppdffpn9+/fPeeRuptKVkkskEpw5c4b3339/IU0M7UafMVRVVcX27dupq6ubLh5yvQmPaDTK4cOH512a1NXVxZ133hl6d9Xg4ODCx8qW0MDAAB0dHQUxSXTs2LF5t4qmCog0NTUxOjpKa2srQ0NDGfdGent7OXfuXNbtW4rM8RmgHJi5Uvwh4AUzO2dmJwmS4zcl3QE0Ac+bWQT4JbBO0l3A/cBfzeyQmV0AXgS+FbYxcx20tZieffbZjLqojzzyCG+++eaCCvCmO5ytrKzsqlqdxUQSdXV13H333Sxbtoy2tjYGBgbSvteVK1eyZs2atJXpI5EIIyMjWVVmyrcanNdz22230dTUdN3VIvmgs7Mzoxub1FrghoYG+vv7OXHiREZFTRobG685NyqM8NOeIZnZHgBJM7PJVmDmAcmnCO5AtwFnzCyWfG5C0rsEd5hbgX/Pek6oE9RSB23dc889od9HPmppaUlbb3Hz5s0FM56VjfLycjZs2EBdXR1nz56dPuO8urr6qq+TlHaW3GxhJQRHRkauWv+b71K7zfJdLBYjkUiEamt1dTXNzc18+OGHdHZ2csstt1BfX5/2NRb673DDE2caVQTjmymXktdmX5/vsdT1OUl6AngCgtMhDxw4wMTEBGVlZRw5cmTh7yDHrly5QiKRuG73MhaLsXz58pwOS9xoZsb4+DhdXV1UVFRQU1NzzVKoeDzO5OTkVZOB8Xicqakpjh8/PvslM5JIJOjp6aG/v39B7V9Kk5OTRKNRqqqq8jYmPvroIyYmJjh48GBWz08kEnR3d3P06FEqKytZtWrVNe/VzIhEIlktmYPcJc5RYOa01gpgZI7r8z2Wuj4nM9sL7IXgsLbt27enPWirEJ0+fZqhoSF2796d9mvGx8dpbW2lvr7+qu2QxWpqaooPPviAgYEB1qxZw9q1a6eHQjo7O7l06RK7du1CEvF4nLfffpuWlpasuq6JRIKxsbFr7nDz3djYGMePH2fr1q05OaMqE2ZGLBZb8F1hLBajt7eXixcvsm7dumuO1m5tbc16qCVXv3LeBWbWiNoMtANdwCZJZQDJjw1AxzzPyUghVHUPI5MzhlasWMGmTZuy2npYiObafZSaMFi/fj3Nzc3T//+nT59m48aNWY/3jYyMsH///sVs/pKoqqri3nvvzdukCUFsL6RAS8pNN900vYD+woULtLW1MTw8PD0e3tzczMaNG7N67Vwlzj8DT0mqkbQTeBD4i5m9B3QDP5J0M7AH6DSzc8BrwP2SNkv6ZPKxVzP5ZvF4nMrKyoIayL+edBNDs9XW1mbdHSlUM3cf9fX10d7eTiKRmN6OevHiRS5fvrygXyiFNjGUIinvC36cOnVqesfdYqisrGTbtm3U19fT09NDR0cH0Wh0QROzufqJ2kewnKifoAv+pJmlqkJ8G/gT8HOgjWDtJmZ2StIzwL8Iuux7gT9m8s1isdg1x+kWuoaGhoxPtYxGo/T19U2XSSsV1dXV7Nixg8HBQU6cOMGqVauYnJxkeHiYnTt3Lqj3MTo6WnDd9JR4PE5PTw+1tbV5eecZiUTYsCHUvO91pYrJ1NTUcP78edrb26murs66mMySJU4zWzfj8yng+8k/s7+uG9iZ5jX2ESTdUCoqKgpiCUYYmZz7k5JIJIhEIoyPj+f8JMyllqo4vnr1arq7uzl27BiNjY1plydlavXq1Tekqv5SKC8vJxKZf499LlVUVNyw0znLysq4/fbbqa2tpb+/n0OHDmX1OirGtX6zSbpEMH7qHMCtQHbFOl0xajCzUHcUpTL41WVmO3LdCJcfJB31eHApko6GfU5+LuRyzrk85onTOedCKpXEuTfXDXB5xePBzRQ6Hkpicsg55xZTqdxxOufcovHE6ZxzIRVl4pT0H0m7kp9L0q8kjUkalPS9XLfPLR1JD0vqkxSVdFBSg8dE6ZL0A0nnJUUkvSGpLpt4KKp1nJK+BHyN9NXma4C3JL1jZtnVEnMFQ9KngN8CXwcOAE8S1Dx4CY+JkiNpC/Ac8GWCer77gBcIYiNUPBTbHWfG1eZz0Ti35D4HvGVm/zSzy8AvCIple0yUps8Cb5jZO2YWJSg29GmyiIeiSpxmtsfMHgOGZ1yeq9r84lYQcPnqdeCHM/7eDIzjMVGq9gGPA0j6BEFVtkNkEQ9FlTjTCFU53hUPM/ufmfUBSLoP+AfwNB4TJcnMrphZXNLjBLUKvkowdBM6HkohcYaqHO+Ki6RbJf0N+DXwqJm9hMdESUtWWVsB/JSgVxIlZDyUQuJcUOV4V7gkrQT+SzB0c5eZ/T35kMdECZL0jKSHAJJj3r8jmAwaIGQ8lELinLPafI7b5JbGg8B5M/tucjIgxWOiNA0BT0uql/Qx4CngJMHKi1DxUFTLkdKYr9q8K25bgd2SJmddX4/HRCn6A7CJYELo5uTH+4BeQsaD71V3zrmQSqGr7pxzi8oTp3POheSJ0znnQvLE6ZxzIXnidM65kDxxOudcSJ44nXMuJE+crihJKpP0qqRhST9OXlsm6WeS3pN0WdJZSXskVeS6va6weOJ0xeoLwBlgLdAi6eMEW+seBR4DqoGvAF8EXsxVI11h8sTpipWAZQTbikWwzfIJ4AEzO2BmE2bWDTwMbJG0PHdNdYXGt1y6oiSpjKCS9+eB54ErwNNmdkdOG+aKQikU+XAlyMwSzDj+QNIzwGDuWuSKiXfVXakYBm6d6wFJD0jyCvAuY544Xak4CNRLapx5MVl/8ffA5Zy0yhUkT5yuJJjZGeAV4DVJuyTdnEyarwDPmdmV3LbQFRKfHHIlIzlz/hPgOwTLlPqB3yTPIXIuY544nXMuJO+qO+dcSJ44nXMuJE+czjkXkidO55wLyROnc86F5InTOedC8sTpnHMheeJ0zrmQ/g/BMJviY593gAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fontsize=12\n", "hour = 19\n", @@ -1006,7 +1016,7 @@ "\n", "handles, labels = skewt_plot.ax.get_legend_handles_labels()\n", "skewt_plot.ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " bbox_to_anchor=(1.03,1.0), \\\n", + " bbox_to_anchor=(0.6,1.0), \\\n", " bbox_transform=skewt_plot.ax.transAxes, loc='upper left', \\\n", " borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", " edgecolor='0', framealpha=0, borderpad=0.25, \\\n", @@ -1029,217 +1039,50 @@ " textcoords='data',\\\n", " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=10))\n", "\n", - "CAPE_CIN_text = 'CAPE$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[0]))+' J kg$^{\\,-1}$\\n'\\\n", - " 'CAPE$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[0]))+' J kg$^{\\,-1}$\\n'\\\n", - " 'CIN$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[1]))+' J kg$^{\\,-1}$\\n'\\\n", - " 'CIN$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[1]))+' J kg$^{\\,-1}$'\n", - "skewt_plot.ax.text(s=CAPE_CIN_text,x=1.02,y=0,ha='left',va='bottom',transform=skewt_plot.ax.transAxes,fontsize=fontsize)\n", - "\n", - "fig.savefig('figures/manuscript_both_cape_skewT_hour'+str(hour-4)+'_zoom_amazon_region.png', dpi=600, bbox_inches='tight', transparent=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "fontsize=12\n", - "hour = 19\n", - "\n", - "skewt_plot = metpy.plots.SkewT()\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_1000_latlon_mean[hour,:]-273.15, lw=3, label='phys. T$_{env}$', c=color_list[0])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_400_latlon_mean[hour,:]-273.15, lw=3, label='cont. T$_{env}$', ls='--', c=color_list[1])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_1000_latlon_mean[hour,:]-273.15, lw=3, label='phys. T$_d$', c=color_list[2])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_400_latlon_mean[hour,:]-273.15, lw=3, label='cont. T$_d$', ls='--', c=color_list[3])\n", - "\n", - "pprofile_400 = metpy.calc.parcel_profile(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", - " (tk_400_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC, \\\n", - " (td_400_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC).to('degC')\n", - "pprofile_1000 = metpy.calc.parcel_profile(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", - " (tk_1000_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC, \\\n", - " (td_1000_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC).to('degC')\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_1000, label='phys. profile', c='0.1', lw=3, ls='-')\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_400, label='cont. profile', c='0.5', lw=3, ls='--')\n", - "\n", - "\n", - "# fill in control and phys CAPE\n", - "skewt_plot.shade_cape(ptot_latlon_subset_timemean/100.,\\\n", - " tk_1000_latlon_mean[hour,:]-273.15,\\\n", - " numpy.array(pprofile_1000),\\\n", - " edgecolor='None',facecolor=matplotlib.cm.tab20c(8/20),alpha=0.666,\\\n", - " label='phys. CAPE')\n", - "\n", - "skewt_plot.shade_cape(ptot_latlon_subset_timemean/100.,\\\n", - " tk_400_latlon_mean[hour,:]-273.15,\\\n", - " numpy.array(pprofile_400),\\\n", - " edgecolor='None',facecolor=matplotlib.cm.tab20c(8/20),alpha=0.333,\\\n", - " label='cont. CAPE')\n", - "\n", - "skewt_plot.ax.set_ylim(1013.25,600)\n", - "skewt_plot.ax.set_xlim(10,25)\n", - "\n", - "fig = mp.gcf()\n", - "fig.set_size_inches(4.45,4.25)\n", - "fig.tight_layout()\n", - "\n", - "skewt_plot.ax.tick_params(labelsize=fontsize)\n", - "skewt_plot.ax.set_ylabel('hPa', fontsize=fontsize)\n", - "skewt_plot.ax.set_xlabel('$\\degree$C', fontsize=fontsize)\n", - "\n", - "skewt_plot.plot_dry_adiabats(color='0.5',linewidth=1,linestyle='-')\n", - "skewt_plot.plot_moist_adiabats(color='0.5',linestyle=':')\n", - "skewt_plot.plot_mixing_lines(color='0.5',linestyle='--',lw=1)\n", - "\n", - "handles, labels = skewt_plot.ax.get_legend_handles_labels()\n", - "skewt_plot.ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " bbox_to_anchor=(1.03,1.0), \\\n", - " bbox_transform=skewt_plot.ax.transAxes, loc='upper left', \\\n", - " borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", - " edgecolor='0', framealpha=0, borderpad=0.25, \\\n", - " columnspacing=0.5, handletextpad=0.5, markerscale=1)\n", + "ptot_lo = 300\n", + "ptot_hi = 1013.25\n", "\n", - "skewt_plot.ax.text(s='skew-T diagram at 15:00 on day 1',\\\n", - " x=0,y=1.02,\\\n", - " transform=skewt_plot.ax.transAxes,\\\n", - " ha='left',va='bottom', fontsize=fontsize)\n", + "ptot_indices = (ptot_latlon_subset_timemean/100.<=ptot_hi)&(ptot_latlon_subset_timemean/100.>=ptot_lo)\n", "\n", - "skewt_plot.ax.annotate(\"\",xy=(11.6,700), \\\n", - " xycoords='data',\\\n", - " xytext=(13.6, 700), \\\n", - " textcoords='data',\\\n", - " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=10))\n", + "cape_400 = metpy.calc.surface_based_cape_cin(ptot_latlon_subset_timemean[ptot_indices]/100.*metpy.units.units.hPa, \\\n", + " (tk_400_latlon_mean[hour,ptot_indices]-273.15)*metpy.units.units.degC, \\\n", + " (td_400_latlon_mean[hour,ptot_indices]-273.15)*metpy.units.units.degC)\n", "\n", - "skewt_plot.ax.annotate(\"\",xy=(10.9,700), \\\n", - " xycoords='data',\\\n", - " xytext=(8.9, 700), \\\n", - " textcoords='data',\\\n", - " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=10))\n", + "cape_1000 = metpy.calc.surface_based_cape_cin(ptot_latlon_subset_timemean[ptot_indices]/100.*metpy.units.units.hPa, \\\n", + " (tk_1000_latlon_mean[hour,ptot_indices]-273.15)*metpy.units.units.degC, \\\n", + " (td_1000_latlon_mean[hour,ptot_indices]-273.15)*metpy.units.units.degC)\n", "\n", "CAPE_CIN_text = 'CAPE$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[0]))+' J kg$^{\\,-1}$\\n'\\\n", " 'CAPE$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[0]))+' J kg$^{\\,-1}$\\n'\\\n", " 'CIN$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[1]))+' J kg$^{\\,-1}$\\n'\\\n", " 'CIN$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[1]))+' J kg$^{\\,-1}$'\n", - "skewt_plot.ax.text(s=CAPE_CIN_text,x=1.02,y=0,ha='left',va='bottom',transform=skewt_plot.ax.transAxes,fontsize=fontsize)\n", + "skewt_plot.ax.text(s=CAPE_CIN_text,x=.02,y=0.02,ha='left',va='bottom',\\\n", + " transform=skewt_plot.ax.transAxes,fontsize=fontsize,linespacing=1)\n", "\n", - "fig.savefig('figures/manuscript_both_cape_skewT_hour'+str(hour-4)+'_zoom_andes_region.png', dpi=600, bbox_inches='tight', transparent=True)" + "fig.savefig('figures/manuscript_both_cape_skewT_hour'+str(hour-4)+'_zoom_amazon_region.png', dpi=600, bbox_inches='tight', transparent=True)" ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 35, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:08:17.018831Z", - "start_time": "2018-07-01T06:08:12.458567Z" + "end_time": "2018-08-16T14:54:00.860823Z", + "start_time": "2018-08-16T14:53:54.135565Z" } }, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "
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" ] }, "metadata": {}, "output_type": "display_data" } ], - "source": [ - "fontsize=12\n", - "hour = 19\n", - "\n", - "skewt_plot = metpy.plots.SkewT()\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_1000_latlon_mean[hour,:]-273.15, lw=3, label='phys. T$_{env}$', c=color_list[0])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_400_latlon_mean[hour,:]-273.15, lw=3, label='cont. T$_{env}$', ls='--', c=color_list[1])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_1000_latlon_mean[hour,:]-273.15, lw=3, label='phys. T$_d$', c=color_list[2])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_400_latlon_mean[hour,:]-273.15, lw=3, label='cont. T$_d$', ls='--', c=color_list[3])\n", - "\n", - "pprofile_400 = metpy.calc.parcel_profile(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", - " (tk_400_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC, \\\n", - " (td_400_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC).to('degC')\n", - "pprofile_1000 = metpy.calc.parcel_profile(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", - " (tk_1000_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC, \\\n", - " (td_1000_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC).to('degC')\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_1000, label='phys. profile', c='0.1', lw=3, ls='-')\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_400, label='cont. profile', c='0.5', lw=3, ls='--')\n", - "\n", - "\n", - "# fill in control and phys CAPE\n", - "skewt_plot.shade_cape(ptot_latlon_subset_timemean/100.,\\\n", - " tk_1000_latlon_mean[hour,:]-273.15,\\\n", - " numpy.array(pprofile_1000),\\\n", - " edgecolor='None',facecolor=matplotlib.cm.tab20c(8/20),alpha=0.666,\\\n", - " label='phys. CAPE')\n", - "\n", - "skewt_plot.shade_cape(ptot_latlon_subset_timemean/100.,\\\n", - " tk_400_latlon_mean[hour,:]-273.15,\\\n", - " numpy.array(pprofile_400),\\\n", - " edgecolor='None',facecolor=matplotlib.cm.tab20c(8/20),alpha=0.333,\\\n", - " label='cont. CAPE')\n", - "\n", - "skewt_plot.ax.set_ylim(1013.25,600)\n", - "skewt_plot.ax.set_xlim(10,25)\n", - "\n", - "fig = mp.gcf()\n", - "fig.set_size_inches(4.45,4.25)\n", - "fig.tight_layout()\n", - "\n", - "skewt_plot.ax.tick_params(labelsize=fontsize)\n", - "skewt_plot.ax.set_ylabel('hPa', fontsize=fontsize)\n", - "skewt_plot.ax.set_xlabel('$\\degree$C', fontsize=fontsize)\n", - "\n", - "skewt_plot.plot_dry_adiabats(color='0.5',linewidth=1,linestyle='-')\n", - "skewt_plot.plot_moist_adiabats(color='0.5',linestyle=':')\n", - "skewt_plot.plot_mixing_lines(color='0.5',linestyle='--',lw=1)\n", - "\n", - "handles, labels = skewt_plot.ax.get_legend_handles_labels()\n", - "skewt_plot.ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " bbox_to_anchor=(1.03,1.0), \\\n", - " bbox_transform=skewt_plot.ax.transAxes, loc='upper left', \\\n", - " borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", - " edgecolor='0', framealpha=0, borderpad=0.25, \\\n", - " columnspacing=0.5, handletextpad=0.5, markerscale=1)\n", - "\n", - "skewt_plot.ax.text(s='skew-T diagram at 15:00 on day 1',\\\n", - " x=0,y=1.02,\\\n", - " transform=skewt_plot.ax.transAxes,\\\n", - " ha='left',va='bottom', fontsize=fontsize)\n", - "\n", - "skewt_plot.ax.annotate(\"\",xy=(11.6,700), \\\n", - " xycoords='data',\\\n", - " xytext=(13.6, 700), \\\n", - " textcoords='data',\\\n", - " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=10))\n", - "\n", - "skewt_plot.ax.annotate(\"\",xy=(10.9,700), \\\n", - " xycoords='data',\\\n", - " xytext=(8.9, 700), \\\n", - " textcoords='data',\\\n", - " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=10))\n", - "\n", - "CAPE_CIN_text = 'CAPE$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[0]))+' J kg$^{\\,-1}$\\n'\\\n", - " 'CAPE$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[0]))+' J kg$^{\\,-1}$\\n'\\\n", - " 'CIN$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[1]))+' J kg$^{\\,-1}$\\n'\\\n", - " 'CIN$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[1]))+' J kg$^{\\,-1}$'\n", - "skewt_plot.ax.text(s=CAPE_CIN_text,x=1.02,y=0,ha='left',va='bottom',transform=skewt_plot.ax.transAxes,fontsize=fontsize)\n", - "\n", - "fig.savefig('figures/manuscript_both_cape_skewT_hour'+str(hour-4)+'_zoom_andes_region.png', dpi=600, bbox_inches='tight', transparent=True)" - ] - }, - { - "cell_type": "raw", - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T06:09:05.806762Z", - "start_time": "2018-06-29T06:08:59.252380Z" - } - }, "source": [ "fontsize=12\n", "hour = 18\n", @@ -1285,65 +1128,7 @@ " edgecolor='0', framealpha=0, borderpad=0.25, \\\n", " columnspacing=0.5, handletextpad=0.5, markerscale=1)\n", "\n", - "fig.savefig('both_cape_skewT_hour'+str(hour-4)+'_amazon_region.png', dpi=600, bbox_inches='tight', transparent=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-01T06:09:48.273083Z", - "start_time": "2018-07-01T06:09:41.888743Z" - } - }, - "outputs": [], - "source": [ - "fontsize=12\n", - "hour = 20 # 20 for 3pm over Andes\n", - "\n", - "skewt_plot = metpy.plots.SkewT()\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_1000_latlon_mean[hour,:]-273.15, lw=3, label='phys. Tenv', c='firebrick')\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_400_latlon_mean[hour,:]-273.15, lw=3, label='cont. Tenv', c='coral', ls='--')\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_1000_latlon_mean[hour,:]-273.15, lw=3, label='phys. Td', c='dodgerblue')\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_400_latlon_mean[hour,:]-273.15, lw=3, label='cont. Td', c='skyblue', ls='--')\n", - "\n", - "pprofile_400 = metpy.calc.parcel_profile(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", - " (tk_400_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC, \\\n", - " (td_400_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC).to('degC')\n", - "pprofile_1000 = metpy.calc.parcel_profile(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", - " (tk_1000_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC, \\\n", - " (td_1000_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC).to('degC')\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_1000, label='phys. profile', c='0.1', lw=3, ls='-')\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_400, label='cont. profile', c='0.5', lw=3, ls='--')\n", - "\n", - "skewt_plot.ax.set_ylim(1013.25,100)\n", - "skewt_plot.ax.set_xlim(-45,35)\n", - "\n", - "fig = mp.gcf()\n", - "fig.set_size_inches(6.5,6.5)\n", - "fig.tight_layout()\n", - "\n", - "skewt_plot.ax.tick_params(labelsize=fontsize)\n", - "skewt_plot.ax.set_ylabel('hPa', fontsize=fontsize)\n", - "skewt_plot.ax.set_xlabel('$\\degree$C', fontsize=fontsize)\n", - "\n", - "skewt_plot.plot_dry_adiabats(color='0.1',linewidth=1,linestyle='-')\n", - "skewt_plot.plot_moist_adiabats(color='0.1',linestyle=':')\n", - "skewt_plot.plot_mixing_lines(color='0.1',linestyle='--')\n", - "\n", - "handles, labels = skewt_plot.ax.get_legend_handles_labels()\n", - "skewt_plot.ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " bbox_to_anchor=(1.03,1.0), \\\n", - " bbox_transform=skewt_plot.ax.transAxes, loc='upper left', \\\n", - " borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", - " edgecolor='0', framealpha=0, borderpad=0.25, \\\n", - " columnspacing=0.5, handletextpad=0.5, markerscale=1)\n", - "\n", - "fig.savefig('both_cape_skewT_hour'+str(hour-5)+'_andes_region.png', dpi=600, bbox_inches='tight', transparent=True)" + "fig.savefig('figures/both_cape_skewT_hour'+str(hour-4)+'_amazon_region.png', dpi=600, bbox_inches='tight', transparent=True)" ] }, { @@ -1355,43 +1140,53 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 64, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:10:25.144833Z", - "start_time": "2018-07-01T06:10:25.131940Z" + "end_time": "2018-08-16T15:01:21.791315Z", + "start_time": "2018-08-16T15:01:21.777483Z" } }, "outputs": [], "source": [ "time_datetimes = pandas.to_datetime([i.decode('utf-8') for i in time], format = '%Y-%m-%d_%H:%M:%S')\n", - "time_datetimes_andes = time_datetimes+datetime.timedelta(hours=-5)" + "time_datetimes_andes = time_datetimes+datetime.timedelta(hours=-5)\n", + "time_datetimes_amazon = time_datetimes+datetime.timedelta(hours=-4)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 65, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:16:20.912877Z", - "start_time": "2018-07-01T06:16:20.904062Z" + "end_time": "2018-08-16T15:01:23.568952Z", + "start_time": "2018-08-16T15:01:23.560176Z" } }, "outputs": [], "source": [ - "hour_indices = [t.hour in [2,3,4] and t.day in range(2,11) for t in time_datetimes_andes]" + "hour_indices = [t.hour in [15] and t.day in range(2,11) for t in time_datetimes_amazon]" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 66, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:16:24.188851Z", - "start_time": "2018-07-01T06:16:23.614791Z" + "end_time": "2018-08-16T15:01:32.070236Z", + "start_time": "2018-08-16T15:01:31.330007Z" } }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(, )\n", + "(, )\n" + ] + } + ], "source": [ "ptot_lo = 100\n", "ptot_hi = 1013.25\n", @@ -1417,23 +1212,37 @@ ] }, { - "cell_type": "raw", + "cell_type": "code", + "execution_count": 100, "metadata": { "ExecuteTime": { - "end_time": "2018-06-29T06:08:48.681527Z", - "start_time": "2018-06-29T06:08:44.084183Z" + "end_time": "2018-08-16T15:17:31.841652Z", + "start_time": "2018-08-16T15:17:27.271746Z" } }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fontsize=12\n", "hour = 19\n", "\n", "skewt_plot = metpy.plots.SkewT()\n", "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_1000_latlon_afternoon-273.15, lw=3, label='phys. T$_{env}$', c=color_list[0])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_400_latlon_afternoon-273.15, lw=3, label='cont. T$_{env}$', ls='--', c=color_list[1])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_1000_latlon_afternoon-273.15, lw=3, label='phys. T$_d$', c=color_list[2])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_400_latlon_afternoon-273.15, lw=3, label='cont. T$_d$', ls='--', c=color_list[3])\n", + "\n", + "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_400_latlon_afternoon-273.15, lw=2, label='cont. T$_{env}$', ls='-', c=color_list[1])\n", + "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_1000_latlon_afternoon-273.15, lw=2, label='phys. T$_{env}$', ls='--', c=color_list[0])\n", + "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_400_latlon_afternoon-273.15, lw=2, label='cont. T$_d$', ls='-', c=color_list[3])\n", + "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_1000_latlon_afternoon-273.15, lw=2, label='phys. T$_d$', ls='--', c=color_list[2])\n", "\n", "pprofile_400 = metpy.calc.parcel_profile(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", " (tk_400_latlon_afternoon[0]-273.15)*metpy.units.units.degC, \\\n", @@ -1442,22 +1251,22 @@ " (tk_1000_latlon_afternoon[0]-273.15)*metpy.units.units.degC, \\\n", " (td_1000_latlon_afternoon[0]-273.15)*metpy.units.units.degC).to('degC')\n", "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_1000, label='phys. profile', c='0.1', lw=3, ls='-')\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_400, label='cont. profile', c='0.5', lw=3, ls='--')\n", + "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_400, label='cont. profile', c='0.45', lw=2, ls='-')\n", + "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_1000, label='phys. profile', c='0.1', lw=2, ls='--')\n", "\n", "\n", - "# fill in control and phys CAPE\n", - "skewt_plot.shade_cape(ptot_latlon_subset_timemean/100.,\\\n", - " tk_1000_latlon_afternoon-273.15,\\\n", - " numpy.array(pprofile_1000),\\\n", - " edgecolor='None',facecolor=matplotlib.cm.tab20c(8/20),alpha=0.666,\\\n", - " label='phys. CAPE')\n", "\n", + "# fill in control and phys CAPE\n", "skewt_plot.shade_cape(ptot_latlon_subset_timemean/100.,\\\n", " tk_400_latlon_afternoon-273.15,\\\n", " numpy.array(pprofile_400),\\\n", " edgecolor='None',facecolor=matplotlib.cm.tab20c(8/20),alpha=0.333,\\\n", " label='cont. CAPE')\n", + "skewt_plot.shade_cape(ptot_latlon_subset_timemean/100.,\\\n", + " tk_1000_latlon_afternoon-273.15,\\\n", + " numpy.array(pprofile_1000),\\\n", + " edgecolor='None',facecolor=matplotlib.cm.tab20c(8/20),alpha=0.666,\\\n", + " label='phys. CAPE')\n", "\n", "skewt_plot.ax.set_ylim(1013.25,600)\n", "skewt_plot.ax.set_xlim(10,30)\n", @@ -1476,48 +1285,47 @@ "\n", "handles, labels = skewt_plot.ax.get_legend_handles_labels()\n", "skewt_plot.ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " bbox_to_anchor=(1.03,1.0), \\\n", + " bbox_to_anchor=(0.625,0.99), \\\n", " bbox_transform=skewt_plot.ax.transAxes, loc='upper left', \\\n", - " borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", + " borderaxespad=0, labelspacing=0.2, fancybox=False, \\\n", " edgecolor='0', framealpha=0, borderpad=0.25, \\\n", - " columnspacing=0.5, handletextpad=0.5, markerscale=1)\n", + " columnspacing=0.5, handletextpad=0.5, markerscale=1, handlelength=1.5)\n", "\n", "skewt_plot.ax.text(s='skew-T diagram at 15:00 on days 2–10',\\\n", " x=0,y=1.02,\\\n", " transform=skewt_plot.ax.transAxes,\\\n", " ha='left',va='bottom', fontsize=fontsize)\n", "\n", - "skewt_plot.ax.annotate(\"\",xy=(11.6,700), \\\n", + "skewt_plot.ax.annotate(\"\",xy=(11.8,700), \\\n", " xycoords='data',\\\n", - " xytext=(13.6, 700), \\\n", + " xytext=(13.8, 700), \\\n", " textcoords='data',\\\n", - " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=10))\n", + " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=9))\n", "\n", - "skewt_plot.ax.annotate(\"\",xy=(10.9,700), \\\n", + "skewt_plot.ax.annotate(\"\",xy=(11.1,700), \\\n", " xycoords='data',\\\n", - " xytext=(8.9, 700), \\\n", + " xytext=(9.1, 700), \\\n", " textcoords='data',\\\n", - " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=10))\n", + " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=9))\n", "\n", "CAPE_CIN_text = 'CAPE$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[0]))+' J kg$^{\\,-1}$\\n'\\\n", " 'CAPE$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[0]))+' J kg$^{\\,-1}$\\n'\\\n", " 'CIN$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[1]))+' J kg$^{\\,-1}$\\n'\\\n", " 'CIN$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[1]))+' J kg$^{\\,-1}$'\n", - "skewt_plot.ax.text(s=CAPE_CIN_text,x=1.02,y=0,ha='left',va='bottom',transform=skewt_plot.ax.transAxes,fontsize=fontsize)\n", + "skewt_plot.ax.text(s=CAPE_CIN_text,x=0.02,y=0.02,ha='left',va='bottom',\\\n", + " transform=skewt_plot.ax.transAxes,fontsize=fontsize,linespacing=0.9)\n", "\n", - "fig.savefig('manuscript_both_cape_skewT_hour'+str(hour-4)+'_zoom_ALL_DAYS_amazon_region.png', dpi=600, bbox_inches='tight', transparent=True)" + "fig.savefig('figures/manuscript_both_cape_skewT_hour'+str(hour-4)+'_zoom_ALL_DAYS_amazon_region.png', dpi=600, bbox_inches='tight', transparent=True)" ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "raw", "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:16:33.854303Z", - "start_time": "2018-07-01T06:16:29.760498Z" + "end_time": "2018-08-16T14:59:59.457105Z", + "start_time": "2018-08-16T14:59:55.013884Z" } }, - "outputs": [], "source": [ "fontsize=12\n", "\n", @@ -1552,8 +1360,8 @@ " edgecolor='None',facecolor=matplotlib.cm.tab20c(8/20),alpha=0.333,\\\n", " label='cont. CAPE')\n", "\n", - "skewt_plot.ax.set_ylim(800.,500.)\n", - "skewt_plot.ax.set_xlim(0,17)\n", + "skewt_plot.ax.set_ylim(1013.25,500.)\n", + "skewt_plot.ax.set_xlim(10,30)\n", "\n", "fig = mp.gcf()\n", "fig.set_size_inches(4.45,4.25)\n", @@ -1569,7 +1377,7 @@ "\n", "handles, labels = skewt_plot.ax.get_legend_handles_labels()\n", "skewt_plot.ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " bbox_to_anchor=(1.03,1.0), \\\n", + " bbox_to_anchor=(0.6,1.0), \\\n", " bbox_transform=skewt_plot.ax.transAxes, loc='upper left', \\\n", " borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", " edgecolor='0', framealpha=0, borderpad=0.25, \\\n", @@ -1596,9 +1404,10 @@ " 'CAPE$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[0]))+' J kg$^{\\,-1}$\\n'\\\n", " 'CIN$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[1]))+' J kg$^{\\,-1}$\\n'\\\n", " 'CIN$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[1]))+' J kg$^{\\,-1}$'\n", - "skewt_plot.ax.text(s=CAPE_CIN_text,x=1.02,y=0,ha='left',va='bottom',transform=skewt_plot.ax.transAxes,fontsize=fontsize)\n", + "skewt_plot.ax.text(s=CAPE_CIN_text,x=0.02,y=0.02,ha='left',va='bottom',\\\n", + " transform=skewt_plot.ax.transAxes,fontsize=fontsize,linespacing=1)\n", "\n", - "fig.savefig('manuscript_both_cape_skewT_hour'+str(hour)+'_zoom_ALL_DAYS_andes_region.png', dpi=600, bbox_inches='tight', transparent=True)" + "fig.savefig('manuscript_both_cape_skewT_hour'+str(hour)+'_zoom_ALL_DAYS_amazon_region.png', dpi=600, bbox_inches='tight', transparent=True)" ] }, { @@ -1648,8 +1457,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T02:09:56.378600Z", - "start_time": "2018-06-27T02:09:50.833702Z" + "end_time": "2018-08-16T14:27:50.553544Z", + "start_time": "2018-08-16T14:22:29.567Z" } }, "outputs": [], @@ -1780,8 +1589,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T02:09:56.415037Z", - "start_time": "2018-06-27T02:09:56.386936Z" + "end_time": "2018-08-16T14:27:50.554885Z", + "start_time": "2018-08-16T14:22:29.572Z" } }, "outputs": [], @@ -1798,8 +1607,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T02:10:00.416223Z", - "start_time": "2018-06-27T02:10:00.392164Z" + "end_time": "2018-08-16T14:27:50.556247Z", + "start_time": "2018-08-16T14:22:29.575Z" } }, "outputs": [], @@ -1816,8 +1625,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T02:10:02.462579Z", - "start_time": "2018-06-27T02:10:02.458023Z" + "end_time": "2018-08-16T14:27:50.568188Z", + "start_time": "2018-08-16T14:22:29.580Z" } }, "outputs": [], @@ -1830,8 +1639,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T18:47:06.591858Z", - "start_time": "2018-06-27T18:47:01.822942Z" + "end_time": "2018-08-16T14:27:50.569582Z", + "start_time": "2018-08-16T14:22:29.584Z" } }, "outputs": [], @@ -1902,8 +1711,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T18:47:14.461318Z", - "start_time": "2018-06-27T18:47:09.696742Z" + "end_time": "2018-08-16T14:27:50.570947Z", + "start_time": "2018-08-16T14:22:29.588Z" } }, "outputs": [], @@ -1979,8 +1788,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T18:53:11.109677Z", - "start_time": "2018-06-27T18:47:20.673241Z" + "end_time": "2018-08-16T14:27:50.572293Z", + "start_time": "2018-08-16T14:22:29.592Z" } }, "outputs": [], @@ -1994,8 +1803,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T18:54:22.436508Z", - "start_time": "2018-06-27T18:54:22.416940Z" + "end_time": "2018-08-16T14:27:50.573647Z", + "start_time": "2018-08-16T14:22:29.597Z" } }, "outputs": [], @@ -2008,8 +1817,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T19:07:40.729908Z", - "start_time": "2018-06-27T19:07:40.287937Z" + "end_time": "2018-08-16T14:27:50.575002Z", + "start_time": "2018-08-16T14:22:29.601Z" } }, "outputs": [], @@ -2032,8 +1841,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T18:53:18.953639Z", - "start_time": "2018-06-27T18:53:14.413810Z" + "end_time": "2018-08-16T14:27:50.576423Z", + "start_time": "2018-08-16T14:22:29.607Z" } }, "outputs": [], @@ -2141,8 +1950,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T19:28:45.799792Z", - "start_time": "2018-06-27T19:28:40.980482Z" + "end_time": "2018-08-16T14:27:50.577933Z", + "start_time": "2018-08-16T14:22:29.612Z" } }, "outputs": [], @@ -2226,8 +2035,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T19:20:34.509275Z", - "start_time": "2018-06-27T19:20:34.499228Z" + "end_time": "2018-08-16T14:27:50.579290Z", + "start_time": "2018-08-16T14:22:29.617Z" } }, "outputs": [], @@ -2261,8 +2070,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T00:53:16.852206Z", - "start_time": "2018-06-27T00:53:14.099018Z" + "end_time": "2018-08-16T14:27:50.580863Z", + "start_time": "2018-08-16T14:22:29.633Z" } }, "outputs": [], @@ -2353,8 +2162,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-25T06:05:03.117364Z", - "start_time": "2018-06-25T06:04:59.675547Z" + "end_time": "2018-08-16T14:27:50.593957Z", + "start_time": "2018-08-16T14:22:29.638Z" } }, "outputs": [], @@ -2500,8 +2309,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-24T02:10:17.561197Z", - "start_time": "2018-06-24T02:10:17.546577Z" + "end_time": "2018-08-16T14:27:50.595290Z", + "start_time": "2018-08-16T14:22:29.671Z" } }, "outputs": [], @@ -2514,8 +2323,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-24T02:10:19.750505Z", - "start_time": "2018-06-24T02:10:19.735549Z" + "end_time": "2018-08-16T14:27:50.596622Z", + "start_time": "2018-08-16T14:22:29.676Z" } }, "outputs": [], @@ -2547,8 +2356,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:02:32.365226Z", - "start_time": "2018-06-17T04:02:32.359084Z" + "end_time": "2018-08-16T14:27:50.598089Z", + "start_time": "2018-08-16T14:22:29.683Z" } }, "outputs": [], @@ -2565,8 +2374,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:05:31.608852Z", - "start_time": "2018-06-17T04:05:31.600230Z" + "end_time": "2018-08-16T14:27:50.599543Z", + "start_time": "2018-08-16T14:22:29.687Z" } }, "outputs": [], @@ -2629,8 +2438,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:07:57.679876Z", - "start_time": "2018-06-17T04:07:42.668321Z" + "end_time": "2018-08-16T14:27:50.600887Z", + "start_time": "2018-08-16T14:22:29.845Z" } }, "outputs": [], @@ -2644,8 +2453,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:08:07.257499Z", - "start_time": "2018-06-17T04:07:58.613026Z" + "end_time": "2018-08-16T14:27:50.602245Z", + "start_time": "2018-08-16T14:22:29.849Z" } }, "outputs": [], @@ -2666,8 +2475,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:50:44.980744Z", - "start_time": "2018-06-17T04:50:43.631144Z" + "end_time": "2018-08-16T14:27:50.603591Z", + "start_time": "2018-08-16T14:22:29.852Z" } }, "outputs": [], @@ -2680,8 +2489,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:50:52.750576Z", - "start_time": "2018-06-17T04:50:44.989419Z" + "end_time": "2018-08-16T14:27:50.604943Z", + "start_time": "2018-08-16T14:22:29.858Z" } }, "outputs": [], @@ -2701,8 +2510,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:50:57.308961Z", - "start_time": "2018-06-17T04:50:57.223712Z" + "end_time": "2018-08-16T14:27:50.606287Z", + "start_time": "2018-08-16T14:22:29.861Z" } }, "outputs": [], @@ -2720,8 +2529,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:50:59.683003Z", - "start_time": "2018-06-17T04:50:59.473753Z" + "end_time": "2018-08-16T14:27:50.618191Z", + "start_time": "2018-08-16T14:22:29.865Z" } }, "outputs": [], @@ -2743,8 +2552,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:04:32.767647Z", - "start_time": "2018-06-17T04:04:07.332756Z" + "end_time": "2018-08-16T14:27:50.619653Z", + "start_time": "2018-08-16T14:22:29.870Z" } }, "outputs": [], @@ -2757,8 +2566,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:04:33.528212Z", - "start_time": "2018-06-17T04:04:33.398230Z" + "end_time": "2018-08-16T14:27:50.620976Z", + "start_time": "2018-08-16T14:22:29.874Z" } }, "outputs": [], @@ -2778,8 +2587,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:13:19.234532Z", - "start_time": "2018-06-17T04:13:15.257165Z" + "end_time": "2018-08-16T14:27:50.622332Z", + "start_time": "2018-08-16T14:22:29.878Z" } }, "outputs": [], @@ -2797,8 +2606,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:13:21.582302Z", - "start_time": "2018-06-17T04:13:20.257743Z" + "end_time": "2018-08-16T14:27:50.623684Z", + "start_time": "2018-08-16T14:22:29.882Z" } }, "outputs": [], @@ -2820,8 +2629,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:04:53.875147Z", - "start_time": "2018-06-17T04:04:40.844402Z" + "end_time": "2018-08-16T14:27:50.625027Z", + "start_time": "2018-08-16T14:22:29.886Z" } }, "outputs": [], @@ -2834,8 +2643,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:04:54.669112Z", - "start_time": "2018-06-17T04:04:54.539566Z" + "end_time": "2018-08-16T14:27:50.626373Z", + "start_time": "2018-08-16T14:22:29.889Z" } }, "outputs": [], @@ -2855,8 +2664,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:13:19.234532Z", - "start_time": "2018-06-17T04:13:15.257165Z" + "end_time": "2018-08-16T14:27:50.627781Z", + "start_time": "2018-08-16T14:22:29.893Z" } }, "outputs": [], @@ -2874,8 +2683,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:13:21.582302Z", - "start_time": "2018-06-17T04:13:20.257743Z" + "end_time": "2018-08-16T14:27:50.629306Z", + "start_time": "2018-08-16T14:22:29.898Z" } }, "outputs": [], @@ -2897,8 +2706,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:13.048463Z", - "start_time": "2018-06-17T04:35:01.271278Z" + "end_time": "2018-08-16T14:27:50.630660Z", + "start_time": "2018-08-16T14:22:29.901Z" } }, "outputs": [], @@ -2911,8 +2720,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:17.243103Z", - "start_time": "2018-06-17T04:35:14.428058Z" + "end_time": "2018-08-16T14:27:50.642458Z", + "start_time": "2018-08-16T14:22:29.904Z" } }, "outputs": [], @@ -2932,8 +2741,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:19.784794Z", - "start_time": "2018-06-17T04:35:18.652049Z" + "end_time": "2018-08-16T14:27:50.643887Z", + "start_time": "2018-08-16T14:22:29.908Z" } }, "outputs": [], @@ -2951,8 +2760,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:21.412573Z", - "start_time": "2018-06-17T04:35:21.232332Z" + "end_time": "2018-08-16T14:27:50.645202Z", + "start_time": "2018-08-16T14:22:29.912Z" } }, "outputs": [], @@ -2974,8 +2783,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:13.048463Z", - "start_time": "2018-06-17T04:35:01.271278Z" + "end_time": "2018-08-16T14:27:50.646543Z", + "start_time": "2018-08-16T14:22:29.918Z" } }, "outputs": [], @@ -2988,8 +2797,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:17.243103Z", - "start_time": "2018-06-17T04:35:14.428058Z" + "end_time": "2018-08-16T14:27:50.647924Z", + "start_time": "2018-08-16T14:22:29.921Z" } }, "outputs": [], @@ -3009,8 +2818,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:19.784794Z", - "start_time": "2018-06-17T04:35:18.652049Z" + "end_time": "2018-08-16T14:27:50.649276Z", + "start_time": "2018-08-16T14:22:29.926Z" } }, "outputs": [], @@ -3028,8 +2837,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:21.412573Z", - "start_time": "2018-06-17T04:35:21.232332Z" + "end_time": "2018-08-16T14:27:50.650777Z", + "start_time": "2018-08-16T14:22:29.929Z" } }, "outputs": [], @@ -3051,8 +2860,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:51:11.475177Z", - "start_time": "2018-06-17T04:51:11.447771Z" + "end_time": "2018-08-16T14:27:50.652239Z", + "start_time": "2018-08-16T14:22:29.933Z" } }, "outputs": [], @@ -3085,8 +2894,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:51:14.396961Z", - "start_time": "2018-06-17T04:51:14.377935Z" + "end_time": "2018-08-16T14:27:50.653933Z", + "start_time": "2018-08-16T14:22:29.938Z" } }, "outputs": [], @@ -3116,8 +2925,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:13:25.550317Z", - "start_time": "2018-06-17T04:13:25.532569Z" + "end_time": "2018-08-16T14:27:50.655306Z", + "start_time": "2018-08-16T14:22:29.941Z" } }, "outputs": [], @@ -3150,8 +2959,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:24:07.089984Z", - "start_time": "2018-06-17T04:24:07.075151Z" + "end_time": "2018-08-16T14:27:50.656677Z", + "start_time": "2018-08-16T14:22:29.946Z" } }, "outputs": [], @@ -3181,8 +2990,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:17:28.167904Z", - "start_time": "2018-06-17T04:17:28.149999Z" + "end_time": "2018-08-16T14:27:50.668198Z", + "start_time": "2018-08-16T14:22:29.950Z" } }, "outputs": [], @@ -3215,8 +3024,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:23:53.603889Z", - "start_time": "2018-06-17T04:23:53.589110Z" + "end_time": "2018-08-16T14:27:50.669552Z", + "start_time": "2018-08-16T14:22:29.953Z" } }, "outputs": [], @@ -3246,8 +3055,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:34.295636Z", - "start_time": "2018-06-17T04:35:34.274525Z" + "end_time": "2018-08-16T14:27:50.671248Z", + "start_time": "2018-08-16T14:22:29.959Z" } }, "outputs": [], @@ -3280,8 +3089,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:36.465829Z", - "start_time": "2018-06-17T04:35:36.453249Z" + "end_time": "2018-08-16T14:27:50.672632Z", + "start_time": "2018-08-16T14:22:29.964Z" } }, "outputs": [], @@ -3311,8 +3120,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:34.295636Z", - "start_time": "2018-06-17T04:35:34.274525Z" + "end_time": "2018-08-16T14:27:50.673996Z", + "start_time": "2018-08-16T14:22:29.968Z" } }, "outputs": [], @@ -3345,8 +3154,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:36.465829Z", - "start_time": "2018-06-17T04:35:36.453249Z" + "end_time": "2018-08-16T14:27:50.675368Z", + "start_time": "2018-08-16T14:22:29.973Z" } }, "outputs": [], @@ -3376,8 +3185,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:15:03.622146Z", - "start_time": "2018-06-17T04:15:03.613490Z" + "end_time": "2018-08-16T14:27:50.676715Z", + "start_time": "2018-08-16T14:22:29.977Z" } }, "outputs": [], @@ -3397,8 +3206,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-21T15:18:07.619869Z", - "start_time": "2018-06-21T15:18:01.283623Z" + "end_time": "2018-08-16T14:27:50.678078Z", + "start_time": "2018-08-16T14:22:29.981Z" } }, "outputs": [], @@ -3450,8 +3259,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-21T15:17:03.323651Z", - "start_time": "2018-06-21T15:16:56.787093Z" + "end_time": "2018-08-16T14:27:50.679436Z", + "start_time": "2018-08-16T14:22:29.988Z" } }, "outputs": [], diff --git a/.ipynb_checkpoints/gp1_wrf_MANUSCRIPT_precip_time_series-checkpoint.ipynb b/.ipynb_checkpoints/gp1_wrf_MANUSCRIPT_figure_4_precip_time_series-checkpoint.ipynb similarity index 100% rename from .ipynb_checkpoints/gp1_wrf_MANUSCRIPT_precip_time_series-checkpoint.ipynb rename to .ipynb_checkpoints/gp1_wrf_MANUSCRIPT_figure_4_precip_time_series-checkpoint.ipynb diff --git a/.ipynb_checkpoints/gp2_figure_1_land_use_topog_precip_winds-checkpoint.ipynb b/.ipynb_checkpoints/gp2_figure_1_land_use_topog_precip_winds-checkpoint.ipynb index 11f2390..bf340ff 100644 --- a/.ipynb_checkpoints/gp2_figure_1_land_use_topog_precip_winds-checkpoint.ipynb +++ b/.ipynb_checkpoints/gp2_figure_1_land_use_topog_precip_winds-checkpoint.ipynb @@ -5,8 +5,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:31.049509Z", - "start_time": "2018-05-16T16:19:28.776161Z" + "end_time": "2018-08-15T23:24:16.514212Z", + "start_time": "2018-08-15T23:24:13.385668Z" } }, "outputs": [], @@ -39,8 +39,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:31.080090Z", - "start_time": "2018-05-16T16:19:31.074832Z" + "end_time": "2018-08-15T23:24:16.528720Z", + "start_time": "2018-08-15T23:24:16.523077Z" } }, "outputs": [], @@ -53,8 +53,8 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:31.712132Z", - "start_time": "2018-05-16T16:19:31.119065Z" + "end_time": "2018-08-15T23:24:17.317560Z", + "start_time": "2018-08-15T23:24:16.536878Z" } }, "outputs": [], @@ -71,8 +71,8 @@ "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:31.782374Z", - "start_time": "2018-05-16T16:19:31.770264Z" + "end_time": "2018-08-15T23:24:17.338419Z", + "start_time": "2018-08-15T23:24:17.326208Z" } }, "outputs": [ @@ -100,11 +100,11 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:32.393193Z", - "start_time": "2018-05-16T16:19:32.383215Z" + "end_time": "2018-08-15T23:24:52.892101Z", + "start_time": "2018-08-15T23:24:52.880050Z" } }, "outputs": [], @@ -133,11 +133,11 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:32.797815Z", - "start_time": "2018-05-16T16:19:32.791747Z" + "end_time": "2018-08-15T23:24:53.744530Z", + "start_time": "2018-08-15T23:24:53.735966Z" } }, "outputs": [], @@ -148,8 +148,13 @@ }, { "cell_type": "code", - "execution_count": 64, - "metadata": {}, + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T23:24:54.263881Z", + "start_time": "2018-08-15T23:24:54.242785Z" + } + }, "outputs": [], "source": [ "human_cmap = mcm.YlOrRd_r #Purples\n", @@ -211,11 +216,11 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:34.145792Z", - "start_time": "2018-05-16T16:19:33.430909Z" + "end_time": "2018-08-15T23:24:56.612339Z", + "start_time": "2018-08-15T23:24:55.805258Z" } }, "outputs": [], @@ -251,11 +256,11 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:34.657662Z", - "start_time": "2018-05-16T16:19:34.365073Z" + "end_time": "2018-08-15T23:24:57.086312Z", + "start_time": "2018-08-15T23:24:56.620947Z" } }, "outputs": [], @@ -273,11 +278,11 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:38.191170Z", - "start_time": "2018-05-16T16:19:37.334233Z" + "end_time": "2018-08-15T23:25:00.391030Z", + "start_time": "2018-08-15T23:24:57.094899Z" } }, "outputs": [], @@ -298,11 +303,11 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:38.830883Z", - "start_time": "2018-05-16T16:19:38.435398Z" + "end_time": "2018-08-15T23:25:00.983345Z", + "start_time": "2018-08-15T23:25:00.399425Z" } }, "outputs": [], @@ -331,11 +336,11 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:40.545553Z", - "start_time": "2018-05-16T16:19:39.060583Z" + "end_time": "2018-08-15T23:25:05.156929Z", + "start_time": "2018-08-15T23:25:00.991801Z" } }, "outputs": [], @@ -356,11 +361,11 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:41.246463Z", - "start_time": "2018-05-16T16:19:40.784455Z" + "end_time": "2018-08-15T23:25:05.713725Z", + "start_time": "2018-08-15T23:25:05.165521Z" } }, "outputs": [], @@ -389,11 +394,10 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:42.767813Z", - "start_time": "2018-05-16T16:19:41.480252Z" + "start_time": "2018-08-15T23:24:59.018Z" } }, "outputs": [], @@ -414,11 +418,10 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:44.215259Z", - "start_time": "2018-05-16T16:19:43.009472Z" + "start_time": "2018-08-15T23:24:59.696Z" } }, "outputs": [], @@ -434,11 +437,10 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:44.498493Z", - "start_time": "2018-05-16T16:19:44.488244Z" + "start_time": "2018-08-15T23:25:00.029Z" } }, "outputs": [], @@ -452,33 +454,23 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:44.782504Z", - "start_time": "2018-05-16T16:19:44.773581Z" + "start_time": "2018-08-15T23:25:00.386Z" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1979-01-01 00:00:00 2017-12-01 00:00:00\n" - ] - } - ], + "outputs": [], "source": [ "print(time_gpcp_datetime[0], time_gpcp_datetime[-1])" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:45.074464Z", - "start_time": "2018-05-16T16:19:45.054826Z" + "start_time": "2018-08-15T23:25:00.735Z" } }, "outputs": [], @@ -497,23 +489,13 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:20:23.302935Z", - "start_time": "2018-05-16T16:19:45.352796Z" + "start_time": "2018-08-15T23:25:01.420Z" } }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/numpy/core/_methods.py:32: RuntimeWarning: overflow encountered in reduce\n", - " return umr_sum(a, axis, dtype, out, keepdims)\n" - ] - } - ], + "outputs": [], "source": [ "xlat_ncfile_name = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000/concat_nc_files/wrfout_d01_1979-01-01_00:00:00_XLAT.nc'\n", "xlong_ncfile_name = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000/concat_nc_files/wrfout_d01_1979-01-01_00:00:00_XLONG.nc'\n", @@ -579,23 +561,13 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:20:51.038720Z", - "start_time": "2018-05-16T16:20:24.109541Z" + "start_time": "2018-08-15T23:25:02.056Z" } }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:43: RuntimeWarning: Mean of empty slice\n", - "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:44: RuntimeWarning: Mean of empty slice\n" - ] - } - ], + "outputs": [], "source": [ "xlat_ncfile_name = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/MJJ/1000/concat_nc_files/wrfout_d01_1979-01-01_00:00:00_XLAT.nc'\n", "xlong_ncfile_name = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/MJJ/1000/concat_nc_files/wrfout_d01_1979-01-01_00:00:00_XLONG.nc'\n", @@ -658,23 +630,13 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:20:59.707426Z", - "start_time": "2018-05-16T16:20:51.922937Z" + "start_time": "2018-08-15T23:25:02.693Z" } }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:43: RuntimeWarning: Mean of empty slice\n", - "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:44: RuntimeWarning: Mean of empty slice\n" - ] - } - ], + "outputs": [], "source": [ "xlat_ncfile_name = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/NDJ/1000/concat_nc_files/wrfout_d01_1979-01-01_00:00:00_XLAT.nc'\n", "xlong_ncfile_name = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/NDJ/1000/concat_nc_files/wrfout_d01_1979-01-01_00:00:00_XLONG.nc'\n", @@ -730,11 +692,10 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:21:00.310821Z", - "start_time": "2018-05-16T16:21:00.286704Z" + "start_time": "2018-08-15T23:25:03.001Z" } }, "outputs": [], @@ -749,11 +710,10 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:21:00.816412Z", - "start_time": "2018-05-16T16:21:00.801099Z" + "start_time": "2018-08-15T23:25:03.312Z" } }, "outputs": [], @@ -775,11 +735,10 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:21:01.478673Z", - "start_time": "2018-05-16T16:21:01.305789Z" + "start_time": "2018-08-15T23:25:03.801Z" } }, "outputs": [], @@ -797,68 +756,26 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:21:02.396485Z", - "start_time": "2018-05-16T16:21:01.970824Z" + "start_time": "2018-08-15T23:25:04.140Z" } }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "c=mp.contourf(HGT_M); mp.colorbar(c)" ] }, { "cell_type": "code", - "execution_count": 37, + "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:21:10.848982Z", - "start_time": "2018-05-16T16:21:02.887315Z" + "start_time": "2018-08-15T23:25:04.356Z" } }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/matplotlib/cbook/deprecation.py:107: MatplotlibDeprecationWarning: Passing one of 'on', 'true', 'off', 'false' as a boolean is deprecated; use an actual boolean (True/False) instead.\n", - " warnings.warn(message, mplDeprecation, stacklevel=1)\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fontsize = 12\n", "\n", @@ -1053,7 +970,7 @@ "quiver_key_text = ax3.text(s=str(quiver_key_scale)+' m s$^{\\,-1}$', x=0.94, y=1.006, \\\n", " transform=ax3.transAxes, fontsize=fontsize, ha='right', va='bottom')\n", "\n", - "mp.savefig('figure1_land_use_precipitation_winds.png', dpi=300, bbox_inches='tight', transparent=True)" + "mp.savefig('figures/figure1_land_use_precipitation_winds.png', dpi=300, bbox_inches='tight', transparent=True)" ] }, { @@ -1147,8 +1064,7 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T17:53:45.383169Z", - "start_time": "2018-05-16T17:53:41.639869Z" + "start_time": "2018-08-15T23:25:05.013Z" } }, "outputs": [], @@ -1159,7 +1075,7 @@ "\n", "gs = matplotlib.gridspec.GridSpec(2,8,\\\n", " width_ratios = [1]*8, \n", - " height_ratios = [1.5,1])\n", + " height_ratios = [1.75,1])\n", "ax1 = mp.subplot(gs[0,0:5], projection=cartopy.crs.PlateCarree())\n", "ax2 = mp.subplot(gs[1,0:4], projection=cartopy.crs.PlateCarree())\n", "ax3 = mp.subplot(gs[1,4:8], projection=cartopy.crs.PlateCarree())\n", @@ -1224,7 +1140,7 @@ "\n", "fig.tight_layout()#h_pad=-5)\n", "\n", - "fraction = 0.964\n", + "fraction = 0.96\n", "ax_pos = ax1.get_position()\n", "cbar_ax = fig.add_axes([ax_pos.x1+0.02,ax_pos.y0+(1-fraction)/2*ax_pos.height,0.0325,ax_pos.height*fraction])\n", "cbar = fig.colorbar(land_use_map, cax=cbar_ax, drawedges=True)\n", @@ -1262,15 +1178,8 @@ "quiver_key_text = ax3.text(s=str(quiver_key_scale)+' m s$^{\\,-1}$', x=0.94, y=1.006, \\\n", " transform=ax3.transAxes, fontsize=fontsize, ha='right', va='bottom')\n", "\n", - "mp.savefig('manuscript_figure1_land_use_precipitation_winds.png', dpi=300, bbox_inches='tight', transparent=True)" + "mp.savefig('figures/manuscript_figure1_land_use_precipitation_winds.png', dpi=300, bbox_inches='tight', transparent=True)" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/.ipynb_checkpoints/gp3_ACM2_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb b/.ipynb_checkpoints/gp3_ACM2_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb new file mode 100644 index 0000000..a835af4 --- /dev/null +++ b/.ipynb_checkpoints/gp3_ACM2_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb @@ -0,0 +1,1569 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:07:29.250408Z", + "start_time": "2018-08-15T03:07:26.984288Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import matplotlib.colors\n", + "import pandas\n", + "import matplotlib.patches\n", + "import netCDF4\n", + "import glob\n", + "import cmocean\n", + "\n", + "import mpl_toolkits\n", + "import cartopy\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:07:29.265297Z", + "start_time": "2018-08-15T03:07:29.259554Z" + } + }, + "outputs": [], + "source": [ + "run_info = 'FMAASO'\n", + "skip_time = 24" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 400 data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:07:29.534967Z", + "start_time": "2018-08-15T03:07:29.273562Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "wrfout_d01_1979-01-01_00:00:00\twrfout_d01_1979-01-07_00:00:00\r\n", + "wrfout_d01_1979-01-02_00:00:00\twrfout_d01_1979-01-08_00:00:00\r\n", + "wrfout_d01_1979-01-03_00:00:00\twrfout_d01_1979-01-09_00:00:00\r\n", + "wrfout_d01_1979-01-04_00:00:00\twrfout_d01_1979-01-10_00:00:00\r\n", + "wrfout_d01_1979-01-05_00:00:00\twrfout_d01_1979-01-11_00:00:00\r\n", + "wrfout_d01_1979-01-06_00:00:00\r\n" + ] + } + ], + "source": [ + "!ls /beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYJ_scheme_10days" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:07:29.565007Z", + "start_time": "2018-08-15T03:07:29.537851Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYJ_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:07:38.372992Z", + "start_time": "2018-08-15T03:07:33.206215Z" + } + }, + "outputs": [], + "source": [ + "cont_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:07:46.252631Z", + "start_time": "2018-08-15T03:07:38.381838Z" + } + }, + "outputs": [], + "source": [ + "rainc_400 = cont_mfds['RAINC'].values\n", + "rainnc_400 = cont_mfds['RAINNC'].values\n", + "qvapor_400 = cont_mfds['QVAPOR'].values\n", + "lh_400 = cont_mfds['LH'].values\n", + "\n", + "pblh_400 = cont_mfds['PBLH'].values\n", + "t2_400 = cont_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:07:47.331648Z", + "start_time": "2018-08-15T03:07:46.261367Z" + } + }, + "outputs": [], + "source": [ + "ecan_400 = cont_mfds['ECAN'].values*86400. # mm/day\n", + "edir_400 = cont_mfds['EDIR'].values*86400.\n", + "etran_400 = cont_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:07:48.482475Z", + "start_time": "2018-08-15T03:07:47.334610Z" + } + }, + "outputs": [], + "source": [ + "time = cont_mfds['Times'].values\n", + "xlat = cont_mfds['XLAT'].values[0,:,:]\n", + "xlong = cont_mfds['XLONG'].values[0,:,:]\n", + "landmask = cont_mfds['LANDMASK'].values[0,:,:]\n", + "landmask_midpoints = landmask[1:,1:]" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:01:33.335331Z", + "start_time": "2018-08-15T03:01:32.397070Z" + } + }, + "source": [ + "prw_400 = numpy.load('DATA_prw_400.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 1000 data" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:07:48.500483Z", + "start_time": "2018-08-15T03:07:48.491245Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_MYJ_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout*.nc')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:07:53.916301Z", + "start_time": "2018-08-15T03:07:48.508522Z" + } + }, + "outputs": [], + "source": [ + "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:01.732247Z", + "start_time": "2018-08-15T03:07:53.925077Z" + } + }, + "outputs": [], + "source": [ + "rainc_1000 = phys_mfds['RAINC'].values\n", + "rainnc_1000 = phys_mfds['RAINNC'].values\n", + "qvapor_1000 = phys_mfds['QVAPOR'].values\n", + "lh_1000 = phys_mfds['LH'].values\n", + "\n", + "pblh_1000 = phys_mfds['PBLH'].values\n", + "t2_1000 = phys_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:02.781817Z", + "start_time": "2018-08-15T03:08:01.740833Z" + } + }, + "outputs": [], + "source": [ + "ecan_1000 = phys_mfds['ECAN'].values*86400. # mm/day\n", + "edir_1000 = phys_mfds['EDIR'].values*86400.\n", + "etran_1000 = phys_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:02:17.264099Z", + "start_time": "2018-08-15T03:03:23.232Z" + } + }, + "source": [ + "prw_1000 = numpy.load('DATA_prw_1000.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# get time stamps" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:02.805625Z", + "start_time": "2018-08-15T03:08:02.790625Z" + } + }, + "outputs": [], + "source": [ + "time_datetimes = pandas.to_datetime([i.decode('utf-8') for i in time], format = '%Y-%m-%d_%H:%M:%S')" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:03.089951Z", + "start_time": "2018-08-15T03:08:02.813934Z" + } + }, + "outputs": [], + "source": [ + "skip_time = 24\n", + "n_intervals = 8\n", + "hour_strings = ['00','03','06','09','12','15','18','21']\n", + "\n", + "times_00 = [t.hour in [23,0,1] for t in time_datetimes[skip_time:]]\n", + "times_03 = [t.hour in [2,3,4] for t in time_datetimes[skip_time:]]\n", + "times_06 = [t.hour in [5,6,7] for t in time_datetimes[skip_time:]]\n", + "times_09 = [t.hour in [8,9,10] for t in time_datetimes[skip_time:]]\n", + "times_12 = [t.hour in [11,12,13] for t in time_datetimes[skip_time:]]\n", + "times_15 = [t.hour in [14,15,16] for t in time_datetimes[skip_time:]]\n", + "times_18 = [t.hour in [17,18,19] for t in time_datetimes[skip_time:]]\n", + "times_21 = [t.hour in [20,21,22] for t in time_datetimes[skip_time:]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PRW differences" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:05:23.557774Z", + "start_time": "2018-08-15T03:05:23.354091Z" + } + }, + "source": [ + "prw_diffs = prw_1000-prw_400\n", + "prw_diffs_time_mean = numpy.mean(prw_diffs[skip_time:,:,:], axis=0)\n", + "prw_400_time_mean = numpy.mean(prw_400[skip_time:,:,:], axis=0)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PBLH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:03.797688Z", + "start_time": "2018-08-15T03:08:03.098908Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:11: RuntimeWarning: Mean of empty slice\n", + " # This is added back by InteractiveShellApp.init_path()\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:12: RuntimeWarning: Mean of empty slice\n", + " if sys.path[0] == '':\n" + ] + } + ], + "source": [ + "pblh_diffs = pblh_1000-pblh_400\n", + "pblh_diffs_time_mean = numpy.mean(pblh_diffs[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean = numpy.mean(pblh_400[skip_time:,:,:], axis=0)\n", + "\n", + "pblh_diffs_landmask = numpy.copy(pblh_diffs)\n", + "pblh_diffs_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_400_landmask = numpy.copy(pblh_400)\n", + "pblh_400_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_diffs_time_mean_landmask = numpy.nanmean(pblh_diffs_landmask[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean_landmask = numpy.nanmean(pblh_400_landmask[skip_time:,:,:], axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# LH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:03.893485Z", + "start_time": "2018-08-15T03:08:03.806361Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "lh_diffs_time_mean = numpy.mean(lh_1000[skip_time:,:,:] - lh_400[skip_time:,:,:], axis=0)\n", + "lh_diffs_time_mean_landmask = numpy.copy(lh_diffs_time_mean)\n", + "lh_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "lh_400_time_mean = numpy.mean(lh_400[skip_time:,:,:], axis=0)\n", + "lh_400_time_mean_landmask = numpy.copy(lh_400_time_mean)\n", + "lh_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# RAINTOT differences" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:04.671354Z", + "start_time": "2018-08-15T03:08:03.902667Z" + } + }, + "outputs": [], + "source": [ + "raintot_400 = rainc_400+rainnc_400\n", + "raintot_1000 = rainc_1000+rainnc_1000\n", + "\n", + "raintot_400_diff = numpy.zeros((raintot_400.shape))*numpy.nan\n", + "raintot_400_diff[:-1,:,:] = numpy.diff(raintot_400, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "raintot_1000_diff = numpy.zeros((raintot_1000.shape))*numpy.nan\n", + "raintot_1000_diff[:-1,:,:] = numpy.diff(raintot_1000, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "# monthly mean\n", + "raintot_diffs_time_mean = numpy.nanmean(raintot_1000_diff[skip_time:,:,:] - raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_diffs_time_mean_landmask = numpy.copy(raintot_diffs_time_mean)\n", + "raintot_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "raintot_400_time_mean = numpy.nanmean(raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_400_time_mean_landmask = numpy.copy(raintot_400_time_mean)\n", + "raintot_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# T2 differences" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:04.767818Z", + "start_time": "2018-08-15T03:08:04.680103Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "t2_diffs_time_mean = numpy.mean(t2_1000[skip_time:,:,:] - t2_400[skip_time:,:,:], axis=0)\n", + "t2_diffs_time_mean_landmask = numpy.copy(t2_diffs_time_mean)\n", + "t2_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "t2_400_time_mean = numpy.mean(t2_400[skip_time:,:,:], axis=0)\n", + "t2_400_time_mean_landmask = numpy.copy(t2_400_time_mean)\n", + "t2_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ECAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:04.993269Z", + "start_time": "2018-08-15T03:08:04.776428Z" + } + }, + "outputs": [], + "source": [ + "ecan_diffs_time_mean = numpy.mean(ecan_1000[skip_time:,:,:] - ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_diffs_time_mean_landmask = numpy.copy(ecan_diffs_time_mean)\n", + "ecan_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "ecan_400_time_mean = numpy.mean(ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_400_time_mean_landmask = numpy.copy(ecan_400_time_mean)\n", + "ecan_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ETRAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:05.113853Z", + "start_time": "2018-08-15T03:08:05.002125Z" + } + }, + "outputs": [], + "source": [ + "etran_diffs_time_mean = numpy.mean(etran_1000[skip_time:,:,:] - etran_400[skip_time:,:,:], axis=0)\n", + "etran_diffs_time_mean_landmask = numpy.copy(etran_diffs_time_mean)\n", + "etran_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "etran_400_time_mean = numpy.mean(etran_400[skip_time:,:,:], axis=0)\n", + "etran_400_time_mean_landmask = numpy.copy(etran_400_time_mean)\n", + "etran_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# EDIR differences" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:05.234127Z", + "start_time": "2018-08-15T03:08:05.122758Z" + } + }, + "outputs": [], + "source": [ + "edir_diffs_time_mean = numpy.mean(edir_1000[skip_time:,:,:] - edir_400[skip_time:,:,:], axis=0)\n", + "edir_diffs_time_mean_landmask = numpy.copy(edir_diffs_time_mean)\n", + "edir_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "edir_400_time_mean = numpy.mean(edir_400[skip_time:,:,:], axis=0)\n", + "edir_400_time_mean_landmask = numpy.copy(edir_400_time_mean)\n", + "edir_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:13:23.804748Z", + "start_time": "2018-08-15T03:13:23.327435Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.pcolormesh(raintot_diffs_time_mean_landmask,vmin=-0.01,vmax=0.01,cmap=cmocean.cm.balance_r)\n", + "mp.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:15:01.331612Z", + "start_time": "2018-08-15T03:14:51.192451Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-1,1.1,0.125)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#dry_lon_lo, dry_lon_hi, dry_lat_lo, dry_lat_hi = -60,-50,-10,10\n", + "#wet_lon_lo, wet_lon_hi, wet_lat_lo, wet_lat_hi = -80,-75,-10,10\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "# levels = numpy.arange(-.75,.76,0.125)\n", + "# ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "# ax6.gridlines(ylocs=[0], color='0.25')\n", + "# ax6.coastlines(resolution='110m')\n", + "# contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + "# levels=levels, \\\n", + "# cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "# ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "# ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "# ax6.set_yticks([-20,-10,0,10])\n", + "# ax6.tick_params(labelsize=fontsize)\n", + "# ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "# ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "# title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "# ax6.text(s='mm', x=0.05, y=0.03, \\\n", + "# ha='left', va='bottom', \\\n", + "# fontsize=fontsize, \\\n", + "# transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "# bbox_position = ax6.get_position()\n", + "# cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "# cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "# #cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "# cbar_axes.tick_params(labelsize=fontsize)\n", + "# cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('figures/MYJ_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## for cesm talk" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-15T03:08:31.076Z" + } + }, + "outputs": [], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(11,7))\n", + "fontsize = 18\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "levels = numpy.arange(-.75,.76,0.125)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['','',''])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['','',''])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['','',''])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['','',''])\n", + "\n", + "fig.tight_layout(h_pad=10)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='$\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='$\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='$\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='$\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='$\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='$\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/cesm_workshop_precip_lh_etc_maps.png', dpi=600, transparent=True, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot climatology of these variables" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-02T05:41:27.287058Z", + "start_time": "2018-07-02T05:41:19.109426Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(0,10.1,1.)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_400_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='gist_earth_r', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(0,3.51,0.25)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(0,151,25)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(0,31,5)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_400_time_mean_landmask-273.15, \\\n", + " levels=levels, \\\n", + " cmap='Spectral_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(0,801,100)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "ax5.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='magma', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# prw\n", + "\n", + "levels = numpy.arange(0,61,5)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "ax6.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_400_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='YlGnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,1,2,3])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(280,301,5))\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,200,400,600,800])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-0.2,0.21,0.1))\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/CLIM_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# as a percent" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-01T22:07:12.349746Z", + "start_time": "2018-07-01T22:06:59.400044Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: divide by zero encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: invalid value encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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Qn5NN8+bNeaZ/HzZt3EDfezrR2K8mM97/H907tOWzzz7Tn+nVhOsu9CeE6AU8BIwE2kqStEMI4QGcBp4GNgJzgQRJkl4wtW8NfAr8AjwqSVKZk61CCMloNGJnZ8eL457g/Q+nyNvzkvj++++Z9fVyDh49jY1N5TmkFi5cyEsvvUSPHj1wd3Pmnsce40RCPA3uisTRSZ43Tt91kCEDB1I3LIxHH3+Mu/v2pna9MHztHLlgzMX1/GG6durN8Jfe4fXX5biKzMxMkpKScHJyIigoSD1fQUEB+/fvJz09nYyMDLKzsykoKCAxMRFHR0f27dvHvn37eOutt3j44Ycr7TrvBCqr+FlV27oQQlJiuyZPnozRaGR3z3sAyC0s5PFde5n366/07dv3ei9F5fz58wwYMAAhBHXr1qXR/r2IhGxC63vT+m45Y8u9UW0iX/mC+PQsnnjiCQYOHEj37t1xdHRU44Xmrt/D9I1HiI6OxtnZmYKCAi5evMilS5do1KiRmYc1Li6Os2fPkpGRQWZmJnl5eeTn53Pw4EEaN27Mzz//jMFgYN26dZV2nXcKlWHrN+qZnpGRgaurK1PencwDcUeYNk/2eMfZZZHZtjEbN268nssowZdffsk777xD9+7dcTi8i+EPdyOj6T10CHDC3k7O3vpx1ymeGPU8TcJCGTpsKA/e24ea9ZqrfWSeOUKPu7swadpnjB49WvasZmSQlJSEm5sb/v7+atv8/Hz2799PRkaG+kwvLCwkNjYWT09PtmzZwsGDB/n000/p3bt3pV7r7U5F7bwy5nU6mPrRGnQ/YJ8kSctNg/kY+BN4ARCArekYAVRIYRkMBjp06EBNr0AyceLn2BMAdH7yVWbP/4OlS5fyyCOPVMLlQExMDC+++CJrls+hccMwJAd/MnEivEkTNiSdA2Mug0IasMhOHnrPAQ8xfsIELhjlYLTdaabof9dQvpgzk34Pj+b9999HkiSEEPj7+3PlyhU++ugjnn32WYQQfPvtt4wcOZKuXbvi6uqK0Whk9Wq50qenpyf29vZERUVx/PjxSrlGnWvihth6nz59mDx5stm3REdbW0bVrc0777xDjx49sDM9kK+X559/nkgnI+8NvAcbG0GKRz7Jh5Pwaeqv/ra1scHX04349CymtwsgZd0iEtYtImzGYlKOxuDVpC4jurZi/p/b8fT0xNbWlvz8fDw9PXF0dCQsLIyffvoJX19f0tLSaNmyJTVr1qRevXq4uLiwdOlSszEtWbJEF/E3lxti5y4uLjRp0gTJxUtOFed5ps3bRxvbmszYvJ1169ZVmidn3759fPjhh2xY+Sv1DZnAUAAu1e2IwZhK9oq5ON4/AkOM/Ax/6qmneG7kM1y28+DEpRxAzvoKCQrkhQ7NGDdmDBMmTKCoqAhbW1v1mT5z5kwGDRqEEIJp06bx6quv0q1bN1xdXUlPT2f9+vUABAQE4OLiQmBgIKdOndIFThVx3QJHkqTJAEIIbeBAM2C/5vURwFcI4QKsBZ4CzgDvSpKUVdFzeXl5IQrSmbdwAUvX/02HMc8C8OH0OTw1ZAi+vr507tzZ6rGBgYFXc1k4ODjQb9DzAJz6T/5m4WvnyJ8HDnI2MYkHngzlyzfe5q677mLHyl/ImTCRDRdjAajr5qHW7BnUcwintmTg7FEHg3MgTh51+Oe9Dhw4Wci7r4xmwoQJBAcHk5F2nrnLlnDYw4leYQ1o6uhGj7ub0aPPQGbNmkWtWrU4cOAAPXr0uOpruV4SEhJu6PluVW6Urefn5xMeHs7Zs2cZt/8gbzRsgL+TI119avH7tv0MGzaMBQsWVIrI2bp1K6vGPoCNTfGXIZ+m/mZtFu84TIa9Ky4uGaw7cpq7LGIjUo7GkHw4ieVP9KGgqIjCIgkHgy0GGxsKi4qYsfMotWvXJjAwkNTEeHqGBfJ2lxYYbGxIPpxEWIP6LMeG+vXrs3LlSr766qsbFmukU5Ib+Uz39PREKiris++XkC2cGdi4FgAx0Tk8/vjj/Pnnn7Rq1eo6r0i28z5tmlHfkElRcIQa2OxpTMUm7gjOke04m2vgf69NomXLlvz5+288MnI8MSZxo5C7Yi5NkopImvMaDhGtyTm0kyv7ThC3NY7lGfm8/MSTjB49Gj8/P3KT4vn7jacISk4DYMrv0bhgy7MvPMf06dMJDQ3lv//+w8PD47qvT8c6VRWZ6wacU15IkpQnhCgA3Eyuy0HldSCEGAGYpYy8+eabjBo1ir17vwDgng4d6TikJQluHgya8g4PP/ww3333XaW68AHSTv6EIfxpdqcls9bkVdm9aCzpF5L5LzGRhnV8+L/fl/Dl0sWIWr7MeO1VuviHAuBCDgUOdjg7OYKUwj/vDcUnKJhIYFa4F2F9niI53Ynm7Qfg6OiIyEsCMkk9t5JpE7oyd+k6GoR6kpCSw3333ceTTz7Jxx9/XKnXp3NdXJetW7PzNm3a0Lt3b1q1akV6ejofnTjJ5EYNKDydwcvuQfzfspU8mv8oCxcuxNnZuUSf8fHxfPPNN7i5uTFgwAACAwOxtbUt0S45OZnstMuEeNVUt3k1qVu8/3ASAIv+3s2ktz7AYDDwxUdv8ftLQ0g5GsP2bvKXCZ+m/vg09Tc7VssHTevxdmEhZy6mYWdrQ51axQ90ryZ1qXXkNGkrd7F/21b8/f2JjY3l22+/Lett07nxVMkz/b333mPcuHEcOSILji973k3XED8eBwqjE+jbty9Lliyx+sVVkiQWLFhAUlISzZo1o3PnztSoUcPqufft20frRnLmrSJuLtXtiKdR/iKafWAbMXn7EZLEjh07qB3ox6ote2jYNFLtw3nZFHZ9sprg9sF4RnWiKDgCp/BWODvMxb9tBK2BD4FL6Vmcu5RG6zFvYmdnp55v7ugRpN/1NCunz8UDO1JSUhg2bBgDBgwo763TuUaqSuCkAWqBAyGEvelcqaUeYYEkSXOR53kRQkgArVq1Yvv27UydOpW6desybdo0fvtyLi/MmEp461a8Nn8Oo0ePZs6cOfTs2RMbGxuKiopYuXKl2m/TiEasWfsPTk6OtGvXnhkzZtCkSRNArncwfPhwli1dzCcTevD+fHn9K/fwwXwTe4JZq/6iZ58+ADR22Yu/twPTp08n+UoBJ2yA7Cykc3KgZZidhMhL4tz6uZzcvBafoGCS4+PwCQrGvU4jQF5qwqNmDWwzT+Lo6KiO8dy2ubgFhlM3yIOPX7iHk5vXcjwmhZnLvmN0fr7arqo9KzfaU1RNuS5bt2bnNjY2zJgxg379+pGcnMzGjRt58pdfuCfflkdr1OJV92CW7tzBgw8+yF9//aXGnp05c4ZFixYxa8pHdK3jz6/HzvLSSy/h5+fHSy+9xMSJE9XMlFWrVjFixAiaBvtazVZRUtWTDyfRx82Tz158kRb9+tEwX3B88Vag2NNTmrDRYmdrS7ifl9V9Qghevr8NyYeTqBXhx9dr9/Pwffdx4MQJ6tYtv2+dG0KVPNM7d+7Mzp07mTZtGqGhoXzyySd8sXc9n3SL4gnAMTqJwYMHs2TJEtq2bYuNjQ0FBQUsX76c77//npPbNuHhYM9rSZdwsjfQ5Z4efPHFF6rdZGRkMGzYMNat+YvHFy9UvTdFwRGcuJRD+/Qj6mKfgY4GsovimTVrFjkFEgMvrsdOkx6etP0IrSf2IWn7EU7PlkWNFudIuVRJiOmnyMLDWhQcwQfD72bposPE5Ri5kmnkty+/wcbGhpkzZ1b0bdS5CiptNXEhxFnk4LIdQohngH6SJD1g2tccWCJJUvg19i1ZG6ei4F//32ReXfUrfx44SMips8x75wNsbW154403WLVqFVJRAUnn5bgYG1FEnRAf3n/rZQ4cT+SDjz5h9uyvaNeuHUOGDMHTw5Uvv5iGY94xGrUfCcBfh/cz79Bu5v/xJ4H+/mwaNR4Xcvh3/SYmv/Mxzbp3pdWwQcxa9RcA+0aNIO3kT+xZLHua9h5NJC61kGAPW1o2CcAnKJhDe+V0w2Yt5XVYmj82DcnBn4KU3Rz7/VPc6zQioFlf7FzkQOR1Uway8O9Y/jxqxKOW7L6/UQKnuk9RVfYKy1Vl66XZOcCFCxfo2bMnDxcaucenFoWSRMcNmwF47LHHcHZ2ZtmyZQwZMoSGp/cye89xLmbl8mRkOJ1C/Xjtn93UcXdl+l8b2LZtGy+++CLfDu1Bu/rBqsDR1t9RvDcA4Y+05Yk5v5F+OZ2h2a5ElOOxqQhK7I727+OLt6qi6fnV2+haO4CJa3dc8znuRCrT1m/WM/3zzz9n7ntvsax/N+K2xrEgOYGFl5JwFDZMmvwmC6ZMxT/Em8Htm3PaaMfi5atpHhbEyLpBrNkWzfLMS3z/6280adKEgQMHUq9hY96fMpVAQy6X7TzUbC3nyHZseHwyS4/J1cH/79thrLEN4eO33+LRtk15ceILZB/YRtL2I2ZiJmm77JGJ2xpHcPtgALP9zpHt1P61ZB/YRnb/V/CO2cyU9s8BkFiUx9L8C1wo0otmXg03MsjYGsuBqUKIjshztR8CP1b2SYQQ1K9fn8TYOFxiEugQGMi9d7Vj7ODH+Wf7No4dOMCEF8fQoVUd2nR9DIA1a/9h8+bNDHhsHKuWzeOHrz/mq3kz5OyQQYP48JOpuNjmg0uUep7YrHROJsgP/ISkJH6OlZeN6Na1E6Edil2nz4waQUHKbmLXv8PJzWsBOH8hTd0f6C1PJ6xesxOAuNRCEi7tpGWTAFLPbcDFqx7Hfv+UQ3sP4xcfh1tgOC5AZko0PkHBPH6PxJ+aD6GYmBj9G+7N54bYuq+vLzVr1mT9f8dpXtONvKIi/mx/N6lGI2u3bMIr2JODBw9y5swZnn9+Cw+OGMuAAQN4qk93Lmbn8O0DnZi9+zitmzTCxdefZaPup1XnTuRE/2d2Hq2wOX/sEn6NvbG1sWHR6AFmnpuKiBv3ER9arcoM5l4fryZ1SxQ3bO7rxVsb9jKjpgvvzfiCYcOGVWqWpM5Vc8Oe6fXq1eNEWibxPu7YR+bQe1cevT28OZKdyakv5/LegoU0b9GChfO/5ddv57B5/yFWrFjBmP+9wff3diQqPYsZY55hy8V0Bof5M2Ty/xGbBU7e8tTo6dlzidsax84zP5U4/wN9e9OrUI6lVOrz+LeNKCFyLFFEDwCmtsrxWjyNqWbbfYQ9aZKRGsKWBwYPYurUqbrnvBKpEg+O6fX9wOdALWAJMEqSpGuSqWV9swWYP38+b731FnFxcXh5eeHv78+9DzzAS69MwjUvhsat7iPfKB+veCNatGhBYmICh6OjcSGH08ZiMehr54gLOdRveBcAc3dsJCY9lVmr/qJ2gD/3Rjani38osVnprDl9guHNogizk0g7+ROxW34nOT5OFTYJl7KJSy0kI1eiR1M3AHacyiAjt/h6XB0FD3aQvwmcv5CGn6874R2La/uknZEzp5Lj49hyIIEfjnkCkJKcyHMvTOS9994zm+KqLHQPTqn9naUKbL08Oz9z5gxvvPEGP/0kP5g9PT1pALwYHkaQkxPRTz3LyJEj+eyzzxgxYgQ2NjYcOnSI5s2b8+OArrQO9ClTmCgiQ2mj9agowudqPTfuIz40e20peCy9Rsr5ajasTXJ6Fkf3HueDTfsplCS+WfEXrVu3rvC570SqyoNjen1DnumSJDFr1ixee+01MjMz8fDwoHbt2rRJvMiMI9tJMbjTIDSQjp278OXMzwkNleMdvb29CXVz4MfubVQxkrT9CDWnLlT7PnEphxabPldjaep8+LkaI6NMX1lOPymeGEWYJG0/YhJIaepK6Io3R+vVgWLPjraPXZ+sZumxiwQ72dGmjjvpBQXsjE1jZ8EV9knpvPjGG0yePPmGFa+tjlTUzivtK5EkSbWVG8H0eoUkSXUkSXKRJOmpa70RKsJTTz3FqVOn2LBhA+fPn2fevHksnD+fe+5uxSczvqVju5JR+D179mTgo4+abZt3aDfzDu3m/b2b+SY21mxfF/9QNo0aT3igP8+/9CLNHujFzE0bAFkQFaTsBsC9TiNVnOw4lUFcaqHax7rD6aw7nM7d9V2Z8GR7ejR1w9VRkJErsfdoInuPJpJwKdvsvGlnjpMcH0dyfBwAHSKL1f03OjHBAAAgAElEQVSDzez4+ZtPeeSRRzAajdf47ulcLTfL1uvUqcOPP/7I7t27SUlJ4dChQ9z9xBN8kJPPA0eO06BBAwwGAy1atFC9HX5+frjY29GhU4tyhYl2ykjLtYobKCloykKbvWWwtSHAw5W7/L1Z+kh3nooMp3fnTmzfvv2qzq9z7dwsOxdCMG7cOM6fP8/WrVs5f/48M2bMYElBDs3bd2PR9/Np37ETBoOBkJAQ9bj+/ftzb4sGgLlH5crLQ9W/G3g7me2ziTti5lHZ8PhkABzvl2Ohs/u/wqW6HblUt6O6zb9tBMHtg2lTx524rXHEbY1Tj9eKG+04lHPs+kROUlGyxQDcDAbchIEedl7MrtOYFZ9O46mnnqKoqOiq3zsdcyrNg1OVlPfN1hr79u3jzTffZPfOzXTr2Iotu08Cxd6I6Oho2rZty4dzZ3N3506qN+ZkQhLhgf6cTEji8KS3AHh17XIGhTTANS+GV44kMHPymwA06NefkwcPcPDz2cVBxdvmArIwWb1mJ8eSCtQxuToK7q7vCsixN4qnx8/XXW2jDUI+uXmt1fidAf8nX8uzzVM5m1LAvycLePDxsZUeqKZ7cG4s12Lnubm5fPvtt4wdO5bx48czY8YM3n//fd544w21zdChQ8k8voc5T/fD3lAym0qLVtwc+vkwB6/k0autbAeNHm1/VWMrrd/ShFR5bDybxCvr93Dg+EndjV8Kt7Otb9++nQkTJnDxwnnCGjRmzeo/SUtLo2ZNOQtw//799OrVi5ltGxPp66keFzbaJFZM3hNA9bbsPJNGmzry83fnGdnr/tyswWT3f8XqGJSsK60w0vYJmAkeZbt/2wir57ZGvlTEgvxEhr7xMu++++7VvEV3DBW189tW4AAYjUYmTpyIu7s7X3/9NWD+Yb1161Yee+wxJn09m4Ft2nPBmMuGpHNqsHDG9K8AOci4XlEi57bN5XSLl7hviFyETITWRToXQ69RY1nQ7xFcyCHt5E+kJ5wk7cxxDu09bOaRUQSKNpsqoFlxSntmSrS6iKiWxEOrmPzW1/Ro6kazlk1VgTN7iBPLt8Rx7nIhO88WsnHbHlq2bHnV71Np6ALnxnKtdg7wxx9/8Pfff3PvvffSq1cvs335+fmMGzeOwpN7+HRIcUExS9Fh+Xr9/35nzYUsnugaqm6/VpGj1MpRsKy1Ux6KKOr32Y90ahDK6z+ttpoif6dzu9t6VlYWkyZNUjMDLdPC16xZw/Dhw5nfvhFBrjUIGz2ComB5mkgRJYrQUKaYlGkkZdpq6aLDvLJ1JlvdzD3/liufK2Ind8VcddpK6Tcup9ij/uLwuwgbPYLTs+eydFHZa1m1qePOzjNp2NYSzLsQz/LdO2natOnVvk23PTc7yPiWwM7OjhkzZgCoAkdL+/btee211/jhgykM/OMPAE5dTKZ2gD9nE4sfxrFZ6YS5+xPQrC/r0lNxiWpL5tFDhDeP5MTFCwC45sVgzIzHxasesVt+lwOFfd3x83XHJ0hW9iEdHpB/m/r1CO1ChoP84HYhB3evKEReEqnnNuAR2gXJQf4QCGgGQ7uv5fyFNJN3RxY44R17cveFX8g7no53jSI63N2KGbPm3PAVp3VuPv369aNfv35W99nb2zN16lQi6oaw/2wS7bp3lXeYRIdPU/8yvSlKsLEiSpzqNSQn+j+c6jU0a+fQbZj6d9rc10uIGi2W25VzQNniZ1CbCH7Ydoi1EfVZvfsQXl7WU891bk9q1KjBrFmzSt3fq1cvxowZw8xfF7BgzEBV3CjIsTCrVc+Nf9sINT6m9US5zcBS+l54QLbZ1kHuNPB24rKdB57GVJwj2xH3yeoSwkZh2rx9BC96zuo+gGAn83TyNnXcuVxgpEmwN13bRDFr/vcMGlRumSEdK9zWAqciDBw4kEmTJrHz8nlquxZPFdUO8EfR2jM3bSCkTz9wa82fW/8g0N+fBODkwQOs/Po7ujllYsyMJ/HQKgBV3CjCxjLlW0Fy8Gd3WjIhNdy4gCxGtf4bueifTHjHnpxf+osacAzgFhhOp4GP4Ld5LQ6GOJKuFPHScyNJTEzklVdewcnJiaKiImJiYrhw4QL29vZERkZWWpl/nepDzZo16d3/EfaejaWFReaUFu300cEreXwlneU3vyYlPDdO9RpiV7sxBZ6yXDdcjiXv3wWAudBRlnzQYhm4DJQqbrSBxwCPtW/GkHZNeXvZBtpFNGD5v5tp2LAhQgguX75MbGwsly9fJiIiAh8fn4q9OTq3FQMHDmT27NkkbT9CnfuLtysp31qSth+B7UcIGz1CTe9WvT5XittNWXdS/bt1kDsnLuWoHp3Ts+ea9WkpWOJyjCXEjWUbSzwNdjyPL/f7uzLu8aEkJCQwduxYHBwcKCws5PTp0yQnJ+Ps7Ezz5s2tFvLU0QUOTk5OFBYWUiMrD1yhfi0fNSVcYc1X8jeG5zp1ITzQn61795G5Ww52DKnhRuoZuZCgW6BcEkLJglLEiFtguFVxU5CymxC31vjaFWdAGVPi5d+Z8WSmRKvb3QLDuW+8HPvD/00FwMWrHi5e9Uzn/YKFf8fStb6BLz99l/fffQc3J4EkQXa+hIuDoLBIIisfuvfsTe/evenfvz/BweZBcTq3L7Vq1eLono3QxXwaUysiFK/Lmu0JnM8t4G2nemoMjkJO9H+4de+vihuAAs8QlEd2RQOLKzJNpR2XIr6EELwzoCuBnq50atMKY2ER9Xw82Hs2iSZBPrg62nM09gK+Lk70HjKMBx98kM6dO+tZKXcInp6exMfHk1cQqRb1s4k7Ypb91KaOO60nykVbLevVAFy282BXvHXv4674NFoHyV+GbeKOlIi5sUQRM3E5RvVvJe4HMIvFsYwJalPHnem1G/Lhm//jtYkTCXCrQV5BIXmFhfgJOzILC0nOz6f7fX3p27cvDz74oNmCn3c6d/wd/9dff9GwcWOaBIWQXCAnBYQHygaieHAa9OvPvZHN1SDkQH9/EqLaAmC35W3STe0UgdNl7HQMXlEENNtN4qFVJeJqJAd/RF4SmSnR1HMJAlMugjEzXm2TeGgVAc36kpkSrU5XKdNXlrh41cMnKJgeTdNIuJTNXSF2+Hk6IdnXIDHNSNNgJ46dOk9caiG5RonzMX8z7d01TJrwAjUcBCvWbqZ9+2sPINWpHiycPo0pfdqaiQUFrTdFETd+jgZ6tQ206r0p8Azhio0LADWL5DUZFcGjTGEpWPPYVAYjurZigI8nKdm5RF9Ox+XupjTxkWudFBYVcfxSGlv2beKlJT8Sn5nDs2Of47333sPe3r5Sx6Fza/Hbb7/RrXEdkncmUrvjNpRILW1gb3D7YDUrqoji+BznyHZqlWOF9ceTOXPiktVzOR/YpgYNQ/meGUuC2werY9KKHu1rX3sHZtRphFEqIiEvj/PGPO6q4Ya9KVPyn5hLnFmzmzmrN/DKuOcIcXBi4dZNtGjR4qrGcjtyxwucyMhI4mJjcc2LQTiGAbIX59TFZLXNkmdG0u79twEI9PendoA/Y/v2psfp+bgFhquxNC7kqOniAHYuQYS2G0GGQ11yQd1vh7wcQ2i7EWqcjchLws4liNRzG0hPKHaHpieclAWSSfx4hHYBppZ6PUrGla2NwM/LniAv+WHep1ebEtlZRxKNJF6RuKdLB6bPnM3IkSOtlu3XuT1oe9/9JKbJywkpMTfa2BeF87kF9PKtYRZ3o4gidWpK014ROiCLHbvajQHwwnzJh4pQXoaVZQVkAC9nR7ycHeVzmGalbG1siPDxJMLHk1GtGpHt78X4OYu4Z9s2lixZgp+fX4XGo1P9iIyM5KP4ZAjwIGn7EcJMU0+WKDE0luLmsp0HkEPrIHd2xaep4ub80b2m39D1jaE08HbCObId/phnTinTUdbEjtaL02XRexQFR/Dyh3Dm9efL9ARpvTwC2H8pXa3Bc4+mnVEqYsOVy7S7qxVfL1rAY489VpG37Lblji8NWqdOHZAkYuPkB3Bdt5Iru25IOkdW8gX19XOduvBEDfm11juTWbxUixo/owQRq21Solk3ZaDq7SmLzJRo3ALD2TDrBT4d84jZlJW2TeKhVSTHx5kVEEy4lM35C2lmlZTdAsNxCwwnvGNPWjYJoFezmgS529C1voFXXhzNmDFjyh2TTvWlbdu2RNct/lZnLavp/LFLVsWNNRTPjRbD5Vh5uqp2Y5zqNVTFiLIgp7VpKWvix6tJXcJmLLa6vawxlSakgj1rMuf+DrTITyUqKoqjR49abadT/YmMjCQxr4DMwgL820ZQFCwHEitZU69snammjoMcQ6MVNycsVhAvDSWLyjmynVoXB2RhY03clOXdCRs9gk4bf1OnzRR2nkkrNXjZGnbChh7u3nxetyFjHn+S11+veB2q25E73oOTlJREfl423i55JBlz1YrF1gj092ffqBEsGtuETy9lM3jUk+o+F+SbQmhibRTvjILi3Wn16DhAnpLSmrwxM97koTH16VVPXabh2N+x7Fn8BV3Gmk93xW75XV36QRE3x5IKcHUUQLa6PIQlSgB0D2QxFBlkYMY3XxEWFsaoUaNwcXGxepxO9eXAgQPUPncYmlsX1z5N/VmzPYFebQPVon6WmVIKhstyIcyamjgcZRsUx+RYLgVR2nkVtB6atLmvEzZjMafHP1piH5gXIFR+awWOZYByrYgwxguB097jjB07lilTptCmTZtyx6dTvTh58iRuNhINOtYGTJ6a4AiemzVYFTIA3jGbSwQIW6NOA9nDuf7tSQCq1wcrDhdrsTVmU0+mbTvPpLGz/XM8N2swjvePKJHtZQ2t9wcoUTUZimvxBAPf2dnz+EdTCA4O5qmnnqqSave3One8wMnMzMTOYODnP/fT6Yn2nLqYzMmDBwDQypPw5pGM7dubRWObsO5wOo39DaSdOW5WxwaKPTYXjLn44qgKH2URzcYPTFADjlPPbYCUaNzDBwNgR7EoSk84SXrCSTYt/YV1h+Uon4V/x9Lq0WIvzoZZL7D3aKJZMUF1HBpPDpiviaVMVQFqKjtAXFocH789iZSUFD766KOKv4k61YLUdWvZZcxhUJMwHAy2nD9WHFeQfDhJ9t5oxI1b9/7qfuPZY2Z9Gc8ew652Y9VjoxU3hsuxGM8eI90kboIekO+RnOj/rBb8g9I9MmlzXy8RL6Rta+kRKi1wWXvMc4/0IOfPLfS9pysxCUlqoTid24OcnBzyC4v4KyaBZ9o1xXnZFKaO/YmXY9dzyc4D52VT1PgbQPXyyFNT5rQOcmd8E1kY5C6bYjUgWZn+0oqN8gKPAQY+3lQdhzJdpmR5aaekSvPeKN4dKBm/A9C4Ux1eyc5g1v9eJyMjg0mTJpU7ptuNO36KysvLC0dnV7xCI4nNSmft7n3U8PE1a/NMSAhj+/bmmZAQVWyALBTsXIJUUXLaKLhgzOXn2BPMO7Sb3WlyHE/ayZ/UFHItLl71SE84ichLUqsgx65/h9gtv3Ny81p++uo7s/MBrJzxvvr3+QtpVsWNwrGkAuJSC9lxKoOES9kc2nuYQ3sPq8s/nL+Qhk9QsLq0RKeGrrQOsWXOnDnk5+df5Tupc6vTatRonAvAztaG5MNJHLySZzYVZVnrpjQUsaMVPQWeIWZZVQpl9VMe7iM+LCF8rqb6cWliJ+90PO8O6Eb3Ns1ZsGDBNY9P59bE19cX+5oe+LnIIQNJ24+oAkAREcr6U0odHGVqSpmeauDtRPv0PbTY9DlnXn+e3BXmnh5rHhfLxTi1oiO4fbDZNBZgNk1muc2aYCkLRehYCqt2rh485xbAzJkz78ilH+54D864cePoc//9uEY1Y8LinzjxxzJArlKscOjbR4kCnvhOXk25sb+BPr3aENL1LTJMcTeKmIly91HjeKLcfYAcVci412lE4qFVavyNUvEYim+ek5vlgn7KIp3KWlUKsuCppfkb03SUjLat9rW8JpY8ZaVUUgbUlcuVc9ZwEDRs2JD169df61uqcwuyZ88epr//Pt9F3cWlI+dLeG+0YkDxmFh6Ziynm5zqNZQ9OaWcszxxo92vBCQr02IO3YZZ9d5YcrXVkbX9PdAwiHnLlvHcc8+Ve5xO9UCSJJ555hl6Fdlyl6+XWYVhkD0l8mv5mat4b7RxNw28nbjy8lCOWIgFZYVw58h2qkDSoqw4rq2106aOu5lnRxE6UCySFO9NRSgrgFmbYq4lzNEZF/si9uzZc8ctVnvHCpzffvuNn3/+mb27trBjxxZ25BWQkFT8sJTOFX9TbPzABBb/70kAhnYPIbxjT0K6vmVagTwXXztHQmq4sSHpHDHpqQwKaUBIDTez87kFhquCRvGgaFGmjcI79oTNa/HzdSdQI3QULAVMadustVFEjhbtOliKN6h///4sW7as3D51bn0uXrzIRx99xC9fz2Fyt5bUypez6g5eKV4nsTRhoIgb49ljVmNpLKsZW05jadtByRgaS7QxP3n/LighkEqL5ylL2FiKN+2K6V0b1Wb0orVcvHiRWrVqldaFTjXhhx9+YOnSpcTt3ckLtWQ70676nbtiLt6mKaaliw6rYiAs8ghtNVNUV14eanWKSREw1jKyFGGjFVTWVhVX+gHUGj1aioIj6LLoPXXRz9KwjMdRKG19K+WZfqcJnDtyiio6OpoRI0bQ2Ps8P858BmebtBKCRIvBK4r7xr/JhCfbE96xp1ncTWxWOheMucw7tFtNLVe8OVCc/u0R2oWAZn1xr9NIXbJBOz10cvNaVfxoadkkgAc7BPNgh2Duru9KY/9iTdrY32DmvSmPjFyJY0kFVjOs/Hzd1b7++fY1li9fXuF+dW5dxo8fz+lVy3ivWyvuD5enkJQ6NwpeTeqqwkP5nRP9H+l/LyP972XlBgobzx4rVdxoUfp2qtdQTTdXUsqvZSpLycoqKwXd2n51HPZ2dKsfwB+mZVp0qi/79+9n4sSJRF2OZU6vthiEjSo0nps1WBUYSlCx1tNxevZczrz+PM7LppQqbkoTPBVpp5xbid9RXitCydOYajYFpmzXZmVZQ6mQbK1SsiU9Dcn8+uuvVIe1JyuTO9KDs2fPHho1rM+zTz2IR2gXom0CePibOWap4C5RbSHmd7Pj3Os0Uj03sWnpqijSViKuKF3GTgfkNO+0M8dVwdGsZVN1+gjMVxcPBzYt/UXdF+jtTFxqhvra1VEQ7CGX7I5LLSzVsyN7auTpKqX/k5vXcnd9V3ackvvLz0jG4BFw1delc+uQlZXF9t9/55P72hHp52W+NIKjgaEjWpl5VMqbDrparE1padGKIkXslOcFslwUtDQsPTeWrxX69+7K1A/fISAggD59+pTYr1M92LFjBxEOgtaXbMi9dJHg9sGEjR5h5m3RChLL7CMoXhW8LLR9WPPKlOa1UVBEjlKbR1moE8DfNG1mTTgFO9lVOFW8xLHtg/EL9SM/9SIffvghw4cPv2OWMbnjBE5qaipDhgxh7PjnMYQ/zb9pyTw67W156QXnGojQuoQ3j6Rn1F38+rMscERekrosAshem5h0ec40pIYbLuQwvFkUG5LOqdtATh3XLqaZeW4DboHhuHjVU4OTXUCdrmrWsqnq3QFwTzhpVi8nPeEknQY+Av+YCy+Qxc3d9V01W+SpqNKETlxqIYHesmiTa+PA+aW/EOxhy7GkAlqFGDiWUeIwnWrExIkTMdqCp5ODum3Ndnll+KEjWpV22HWjCBVtRWPt2lXaqS/Fg6MEKAuL/VBSKJUmckrbrnhxtAuLKmLuoU6tSE5N5/FBD7N5xy4aN25cGW+Bzg3k7NmzjBkzhpeiGkOW/IFuTVyUu6SCqSKxtjJxaVjr33K/tYwrbbaWp2kJCX8oMb1V5jg1Sz+U29YkuGq0aM/i6d68M3UWJ0+e5Pvvvy/32NuBKp2iEkL0EkKcEkJkCSF+EUK4CiFshBA/CiFShBATqvL81njyyScJ8HRgzPjx/Bx7ggmLfyLz6CF5vLV8CW8eSe0Af7P1qIyZ8Ri8otT07q7urnTxDwWKvTexWel08Q9lUEgDfO0c8bVz5LRRsDstmQvGXLUvrbjRoogbF696eIR20awxVXycZXFAxduinaZSYmpKq3+jkJErmcXfaI91dRS4O+kVjSvKrWbnOTk5fPHFF/zy/XyevashITVd1PWlAHVtqYp6Q0rDckkGBa0XRpmO0qKIGa24uWLjolZEttxvDUWgVKRCcllt7AwGxg3oSVigL2lp1uMXdIq51Wz9wIEDDB8+nFAHRx5vEmYmbpSAYLDunYnbGldCUKh1ZDTBwNdDUXCE2Y+2kOBlOw+1CKEyZuW8ZZ27TR33MrOstMtRaIlq0oBnhw0ifuPa672sakOVeXCEEB7AT8DTwEbksPX3gNXAceBZ4BchxBxJkkqWRK0iWjR05/svN7Iw7RKzVv2lZk2BHFh84uIFlvy0jHpFidQzlQ0weEVx2ijw1VQl9rUDX3e5zo0cbCyLnHpOiXJfDv7qCuEge4GUIn6Sgz+ZOOGaF0PioVWEd+ypenYMXlFIoC7NYLmOlZYHOwSzfIt8g2bkSuw4lUHwpeIg4rKmqQD2Hk0E1uITJMf9nL+Qph5TUHRnzdVeK7eanf/22288++yzNHNzYOFDXWjg7W62eGYv3xpA8Ye+Ni4Gyi7MZy1O5mpiZywzrhQho13q4YqNCzWLMlVPjyJyLMdlKcwUD401LONwLKfifvl3B4kZedSrV/q9pnNr2XpBQQGdO3fm5K7dPOzlx7THe2FnWptJnfJpG8Hp2XPNAootM5oUkaNstyyeV5rQsMyYsjZdpWBeHbl4FXJln2dwBM6genK0oqtNHfcSgcNLj120OibLDCvlWpTA6CvZubw7YwFPjH/Z6vG3I1U5RdUP2CdJ0nIAIcTHwJ/AX4Ct6dwCuKGfpGPenMnWtGT+PLDBTNwoiFq++No5ImnK/J02CnX6SfHcxGalE+XuI8fjZBXXqlE8M5k4EZuVTEx6KiE13Ii2keNZFI+Pa14Mqec2ENpOrnuQem4DmSnRuIDqKdIusqldiFPBJyiYBzvA8i1xajp5WXVxtLg6CtXLo83oysiVkCSJvbGFULYTSEfmlrLzs2fP0t7Bnmn9OgFYFTeAWsyvopQmZLTCozyxo7RVpqq0wsYalmnqCtfjdVJQxrp6xWomfPMH/2zdccfEJVwHt4yt29jYsG/fPn6o2wQ3g0EVN1D8wb7rk9UsPXaRgY3lDDlrYsVyOupqvDbWYmXAPIjY0ZQltSu+WKTsik9jaKT8OaFWRS5lTKVlRZWHpRcnz1jAkJm/0My1Bi+99NI19VkdqcopqmbAfs3rI4AvsA1oBJwB1kqSlFWFYwBg1ariIntKZeHSGPfs0yUWzfS1c6Sumwd13TyYd2g38w7tVuNswuwkQmq4qT+njUIt+BdSw426bh5mAkiZspIc/HHxqocxM95shfBjv3+qvjZmxqtrWmWmRGvq5si412lkEjnBanBxaVhmW2k9O0pQszLlVVAEFzOL9y9ZsoRNmzYRHR19x0XhV4Bbxs4LCwuZ/b/JtPIwd18rGVN+jb1LLKxpOYWkvNZuL0u4lLUvJ/o/s5/rKfpnVjNHI8zKSxEvr92BK/l4uTrz61vP891337F69Wr27dtHRoYegGaFW8bWFy9eTF0XR1xsi597/m0jVHERtzWOpccuqt6M8oRLRWJfyqI0saOIl9ZBxfek9m9LLKeqtNNRV7tSuZa07FyOxidjZ2vD+IDaLF26lM2bN3PmzJlr7rM6IKrqA0sIMQ84J0nS+5ptRiBUkqTEChw/AlBKPbYcMaJk1ceKcvz4cU6fPg1A397dyBP2xF9JIz3lElhUd2xevwE2RXKNkFV//QtA775ydoVRksjIl/c52BpwNdhCUT55Qq4tkpGfR15BAW4Ojtibbjw7ITBKkvpbwUEARfnkZ17C1l4OAi009W1r74CNoTgzq6ggV91XmJ/L+l3yauPdOzSjMD+XnKziaan8giLyC0tcllVsbMDFwQaDnYECY4F6PEBWvsSJM/IHREiQ/OFQUASNGjXGYDBgY2ODrW3ZoupWYe7cuUiSVCVBRbeSnaemppJ07iwhzs4IwOBkR87lHK6Y/qferrKdGpzsMJgCj20cys4ALMrLveZ2yjYFZZ+wl130ksGeQovvWLaYG64oyEfKL/5SYtlnQU6e6XfJgEuDlQ+Eghwjjp4az5EEl7NyyDEWUFBYiNFYQF5BEY42NtRv1oy8vLxqtYbPnWLrhw8fJtDJHkNesb3U8CteciP53GXyJQkPR3mSwt7F3uz4/Mx8q9ustb1a7EwVlG2cTHZm70SBsCW3oHisjoZiuzdIpjpn+TkU5RTP7Bkzc8zGlZUnt8sv4zPbXgi1jb0QeHg5qWPKzS8gJS2D/LwCCiQJY1ER+Ug0bSqvSq4816sDFbXzqhQ4U4F8SZLeML22B/IAZ0mSKrZca3Ff0rWO8+DBg3Tq2hUXJ/kffXzrHDbbNmTmpg1s3buPrOQLalE/EVqXzNlfkokTF4y59G4qr7z81+H9hNlJaqyNQmj6LnK9Oql1b5TMqrpuHkS5+6jeom9iY9VtoFmY0zT1ZLmMg1tguLo+VUHKbhIPrSLtzHE14ymq31QA/pn9AGlnjnNo72H1WKUwYEWK/yk09jeo01VKoHF4x57cM1rO1nrrnjwSLmXz+wl7GgS58PeRHIxGI82bN6dPnz489NBDNGrUqNT+bzZCiKp86N8Sdp6Xl0fHmt70a9eAwU3lWBLL6SnFe6OdnqrotNLVel+sxfIofVhmTpWFsq5Vaf1rp6sqWtW4rKm5lKMxrD+TyNyjMdjZ2nDicjaOjo707t2be++9lz59+tzSgudOsPWNGzfyaI+erH+iLwHtmlptM+npBQQ72ZVYLkHB2kKV1gr0lUVpU1uWdW+0wcXa+BvArIKxTdyREuJac0AAACAASURBVEUELWNy1CUZLAS9Ne+Otbgjy76+Loqna3gQy+NTMBqNREVFqc/0WzkmraJ2XpVy7T9Am0vXCDh1tTfC9ZCYmEibNm3oPa74m4LBK4qY9FTWLPiOzN3bzcTNio+msD4tg/f3bmbeoeIpqtisdFNMTbo63VSvKFGNlVHo4h+qxui4kKNOL1ly2ihYn5ZBtE0Adi5BuAWGqz+Whf4MXlEENOtrlj5uSbOWTc0yoq5G3IBcF2fd4XR1YU6foGCzjK1mLZsyeNSTiKJ81uxOZEDDLB5slIvTpR3MnzaZu5o3JioqipkzZ3LxovUAuNuYm27nAKNGjSLbQTDkvg6lfoBrl2eoCBVZCfxaUAoDGi7Hmv0oWG6zlk2liCXL6SrlR8Gyzo+1BT5TjsaoPwC+9YPZHZPAXbUDiFv8CX998Dz1M88x/bUXCQwMZOTIkWzduvVOnK696bZ+/Phx+vTpw0vtm5qJG2221KSnS64vVtqHfGlZVArlpYNr+1H6UlK+T8+eS/aBbdjEHcHTmGombjyNqSWWZ1AyqrQ//m0jzLKqlCmrYCe7MqestEtEWF6jIpIGPt4UVzcn1p1NZO3ER4lfs5BRTX3Y/NFUIus3pH379syZM4fU1IotI3ErUpVBxsuBqUKIjshztR8CP1bh+Urg7e2NjY0Nrfvdy5ZvFgJy8C8A2SWniZXlFgCzNPFuTplEG91Yc/oEAPVr+eAb0oDdacmE2OSW8Mz4mtagUlDWplLSxbV1dMLc/dXUcShOIycvSQ1YNnhF4WHan55wUu1XEUUAbPmdvUcT1fWrrFGe8JEDlBNpiVyDR31fTOnrn34Whr+fFzXt09SxnNy8lsIiia9WHWD6u/t47eUXeGTIE8ybN6/aTGFdJzfdzgH8/f3p3igUTxdT4HgF0qfLwlLcXKsnp6w+tHVwAKsBxQradopHRxU5Fm0tg5CtCT6tuLFs2yrfyDf9OtH/3vbY2NhQP9iPkd2iGNktiiM7jvDHkR08cf9i8KzFDz/8QJs2bcq67NuJm27r/v7+2Nracl89cyGSfWAbSduPWM0wshQt2uwpKCl4lPaKuLFcX8qy3+uJ39Eu13DZzgPqdjQLPHaObKemu2jHoQYiWwQhW1v7yjIdXtvmlTYR1HF3JbJPPwD6P/kknn+fZoxfMD/sOcMXOycyftQYRj4/junTpyNE9SofUmUCR5KkFCHEE8AC5NUhlwAfVdX5rGFvb09ISAhB6cXz9heMufx54KD62iWqLZm7t9PTVMVU9cI0g96T3gLkzKjYtHQz0fMzcOpiMvVr+dDFP1TNjlLWp3KxQ82A6lgoZ0AZ7KLUaS5lyuq0MRfcWuNrJ6ecGxz8kZCnr9JO/qRmUilByXLaeHGhPyWN3L1OIwK9D5tVNr5aTw7IIudYUiw9LvwCFBeIM3hFkdOqITHIQtDXzpGQ8Bx1ja27j39HoHshr055h2de/pZJkybx6aefXvX5qxu3gp0DhIeHs+Dr86QcjeHCoUSEEJw/dslsSQZLrImVq00T16KIEG2RP+3aT5bnqMg6Vta8N9rzWPaTE/3fdVVkVsbbubZcEBALARRxdwQRd0fwmiTxw++b6N+/Pzt27CA4+Pprptzq3Aq2XrNmTWrUqMGeDacRyFMVWi+LUvHXcnqqolibnrImbizFRmkkbZcL+TkD3hQvsKnNnLJck0pJHVdwprimj7WJV8UjYyluALNsLGvvRyt/b+K2xqlLWCgYhA1P1AvkCWBDTArfzZxDrVq1ePPNN0u91luRKq1kLEnSCmBFVZ6jLE6dOsWJEydI07jYYrPS2bp3n/paKfKn3W+J7PXJIDxQNq/6tXwYFNKACyZhI9fCyWV3VobqmYl186Cru1xZODMlGoD9tg2JSU9Vp7EuGHN5efUfhAf6U7+WD8+EhJSY1jJmxkNmPHYuQRi8ooo9UKUQ7GFbagzOkv35PNyiYgF02lXLPUK7EG0UzNy0gbOJSdQO8Gdqn35g54SLVz1it8iCKyNX4oeP32VYs1qMmf4Zw4YN459//iE9PZ3u3bvTpk0b7OyuPRPgVuVm2znAH3/8gb2bI4sOnWL5/tPMatFM3efnWHyblxWbUlbcTEWxrD6siA1rC21e7xSYpfhRhJUllqnsigi6nnRzIQSPP9iZ1dFxzJ8/n4iICHbu3ElERAT/z96Zx1VVp3/8fRBkuxCELJc1ATE3NJXKjaBFU1OqsdJfNaWWZdlqZjmVbVM2aY2lU2Nl66Q11qSlhlkyriVpilsCYmwiKEEsAoLc3x/nfr+cezj3clnUcvi8XvfFvWf5nu+5HM758Dyf5/lcddVVhISEtHns3zPO9rWenp7O8ePHISGO0R+mck9IBHfZibAYwVG0RU8OHI3paJ0+4iNIDtiSFS1c8vdyvlWro01dCbLjEdGXRpo6dwhCcuW+dCKmXe/wnFZ8pGo0jUrOBfFx9L0kRQcQVuPBI08+zZgxY1i/fj0nT57kyiuvZPDgwbi6/n4NEU6byLgj0R5B2gcffMDd90zH/zyVvf7pX0tY9PZSG7dwgPuee54nBo3gk7yD0jTzs5tV7U7Wzzub9bsRIuIqPKXIWKSwBO6MTyCqYrskOKXd/4+86goZAYEmY85Ib19i3GzPUUt2Kt2jSS9X++rMG3mtuu+qWTJlJbQ7wrdKiI8Lj5+w2xvHKJWlLTd/e7e/zfm/lZFOZmERcWFm7oxPINjNg4bMpbJ8XRzv24Mn2ZJzivO9FAJNCm5doKJOobzBm6SkJK666iri4+Opr6+nrq6Ouro64uPjiYmJMZxne3E6hZcdifZc54WFhdx8883s+n4bDY2NLOrfj1/2VjTrfxPSuxu9Jg6Tn/XRDyM4Q3L0URWjMY2iOY6OZxS9sdcbx+jY9uahR2uIjn7uw559m8PFv5IQFkj/4AD2HC5mR1k5F/TqxciRI0lOTsbb21te5x4eHlxxxRWnLX17rl/rFouFN954g4fuv49unu70cPHgnzclyfUrPtpj0/DOUVTDCEbRGBEhshfJEXCGZOk1PV4DhtJotWwQ0Kas9MJkrTGnliTZ89wCmvXUEZEc/WcBo2jPt7+VMq/wMIGKGzEuXnRRFA40VGPxN5GcnMzIkSPp1asXJ0+e5OTJk9TV1TF48ODTFtl09jr//VKvDsKf//xnRowYwfDhwwFVW6MnN1qIfjcAn1mXKXVFxLibrdqa5hDERqSwRKQn2M0D14AESn1Vi/rYxiPE+JmpwgOfOnUOyX5mGZU5VF8rSVSCXxC4R+NTl8N3NSaoKUGPisJM2SgQllB++ACh8WM4krGGkoJ8rnlADSfmbV7J2tQfyC87RYR/F8K6eTWzaThaXE7h8ROymqpQ0xFZnMuomJ6AGsHKq64gjwoS4qbgy1JJsMK6eZHUaCEhyg1fK4ESx62uO8nm3atZti+Vf9QqNJ5qwNvDjYCIaHbsK+LWW2/lqaee4vzzz7f7++mEMcLCwvj222958skn+XLxYkx5tRytbbCJ3oBtBEdPXLTdjPXER9/pWLvenqWCkYeUM3DUM6clcmOPaDmCfl6tITwr7r8J8o7KthAl3gE0NFr4ubKS7Z+t4Oml73DKYsFVUejq4sLxupM0YuGNL1ZyxRVXOH2cTqhQFIV77rmHpKQkRvQfwJjQQLkuf0u+TXVRa1NULXUt1sKeLqel9fplMZpKKwHhVQU0IzdabY6AvvLK3hz034fokqwnNNrqK6FJmtQQyoDNPmQXND0XRrt14+eyGgo//y8LPk+lkgZCvLpyovYU53u5sa+mihmPPspjjz2Gr6+v4RxPN855gvPrr79i2G/By9tGaDwqpqdNNCW2samtQ1luGv5RSfg0GwSw2jf0CGwiP+K9qKQSFg8WzLIEvdja2TgGi4wEiWODmr4Sgudo67Uh1mmh73AsokVaR3KA0aNUIWTk8BQpDtY6mv+4fBHxg9SqhJKCfBIn3Mjb0zVaH2pI8AsiJ7C5ot4/Kkk1ArVGjzI3reNosfrfgWgeCODtrjDnhgsYPHGG1A7tX7mA3ikzyW/sxcsvvMCFF17I448/zowZM87JdNbpxLJly3j77bd5xi2ILopCiIcr/c9zb9bcD5rML6FlMqBvBKiFkfi3I6AlR448qdoCZ2wpnEHpvhy6AuiiMa4uCn3P86Xvec3/Xi0WCxuOHefP11zDRVdcwfz587nwwrYLt/8XcfToUe644w6uPO98Ukb1AZoa+wk4avDXUvdiexEb4U4uqqS02+jLzu0t1+PErq14YUtwBFoqIRf7a2FkHWHvfPO35BuSHO17sa27axcC3LqSje0/vhd6enKh9dmVX1PPhAuaCOex+pO8+48l9Hz3XZ5++mnuuOOOM154ck4TnL179zLumqsZPf469u9Xb76/HClSXcMDgwHVf6p4zX8BZAoIIFYjdfGLmwR20kVwkDvjE5odO8kcRXnmx1QUZhIaP0ZdGNC0nUhVVeFJQ+ZS1WBTY8C5obyJGIiUlta0E9QqquVP3a46jNNU7QRqikpoY+R5WAlIaPyYpjlZETdipIzCBIVHWNevlHNJ9vPh+R2bpKhanINAaPwY2W05bsRIsJKcylqL3aouN1M48VOWo9QVEVF1gNeeuI57bhrEnJc+Z/Xq1Xz22Wecd955hvt2ogmNjY2MNwWymxO80rcPMSbvVpeEa9GeSikBZ8iDsykrLXFqiew4IlnOnpcjt3IBff8dR9omLRRF4fKgQIZ3C+Cznw+QmJjIO++8w7hx45za/38d27dvZ/zll3Hjhd25Jii85R1agKPeOC1FafSpLn0fHe16R2Od2LUVNESlm4ELuZ7I6D97DRjKiV1b7Za1689LjQAtkSRHC21az4jsCRF3s2PoluUUnODR7t3Jqqnmgw8+YO3atXz88cd4eZ05D6BzluBYLBYmT57MtElDuG7IKVZ+1rROCQzGcqwYULU3PnU5WNzNRHr7SoKjxaF6BVxCCXbzUKM8NSq5EVod8VNbZQVwh9UVXJSA15em42MKV4mMNRpjooYGq2WD9vJI9jPLiI3WsVw/PxF1EWadoFZW+XXvJQlLSUG+TW8b4WYuKrqiNONpt9F/B+vSd5IZapZVY8F+Tak2N1M4ts5C62T0Rnhk+XgohBWXU1GYiSkgVpqOpteYSAhIxKcuhwt7wDNjG/jH+lIu7h/Nt5t3Ex7e/hvZuYz//Oc/7KuvZtXUMfi6d6VkTxG7f6trtp3+Iawv0zZCa7ymWouWiI0z9g7ORo3sjWPPEb0l6EmQUVn+0f3HDaNnAF1dXJgUGU5SYFfumHQjT7/8CtOnT2/1PP6X0NjYyC233MLsS/oxJqbpnqCP3rQEo4Z++pJxoxJxEb1xdnxnYDSeSFsZRWfsERhHhEe/n8e4aWz5zYNh00GQnJaaG5qH9G363qyValrYazQodD5PeNTyyr7NDOoWxMbcwwQGBjbb/nTgnCU433//PWVlZfjn5+A74Um5PHP3LhsNzrxBgynLXCY7B4voRKWbrd4mr7qCtIpcWWI+dkB/RsX0JKeijDnvvAtAmFl9gBQWqUJcS+RgqCqg0j0aEzW4gSQyokekBbMkExZ3Mw2l6biZwmkoTScKNX3kERBLbUBisxRVRWGmJDKCzEQOT8E/KonQ+DGSrPhZRcAVhZn4hsVRX1WAq7uZtKJcso6VMG9QApRmExo/phmxARhx6meogI13P2D16douK7pErx6td1dFYaaM3mhRWWuxVmd9SvzhA0QOT8EvbhIzly9jZMJA5g0ajBsQENObJ6ItLNtwhIQBF/L5l98wZMgQe7/q/3ksXLiQCd6B+Lo7rpDTRhoEedAShJYIRWvKuzsK+jl15PFaQ9gckTHxnbal95D52EmW/ekKps55lMOHDzN37ly8vb1b3vF/EF9//TW+vr6Mjg6zWe7IkNKZh7cR9MTD2Sote3PQ/rTnXA5I52+j+ejJjT4dZU+Xo9/vVzd/thcUMaRPk++Vfru2nq+9cvSdv1Tw6AUX8P6xIwwIi2D19u8ZMGBAm47RGpyzBMfDw4Pa2lpufHUn3R56WJbpacmNEhVNFZ64xk1hgyY9Fe3rD5p7jEjFZB0rUVNcQHRiklwWZjZzcH0qmSXFjBw9mnvHXM1NkT2pAghIVFNLbp6Y3M3UukdTS5M+R0sMqCrANSCBSjyl3sffFK5qgKyRH63QWfSgAaSNA6hEydXdLCMqIrKTuWkdQeEqsfA3hZNkjpKCaoAjGWtkqkmPqtJsKM2mwRqR+q68kpyKPJLMUcS4WVQndGufHlNALPGHD/B91lbDcvXC4ycIKciHzSvJ27ySnya/CqgRrv0r1d45JQX5jOkewflTh3H92GSCInpy1VVX4evrS69evZgwYcIfrunU6YKnpyfVjadslvU/z90wigNNJdtG4mFnohntNc48E2ipMWFHdWnWRnL0RMde9EYLsc+nN1zJE59/TPhbbzFu3DgiIyPx9fXl1ltvxWx2Lv11rsPT05PKykpyt+TTRVGIGBaBeUhfLtmST76B/kZbAm2UNrIXaXGGiLQWjubgSNxsD/oydEDtt2OQ3hLbCAJzfn0Ztw4w45KzyTAiZKTjKdq2l4hhEU65m9vbRlEUbg8KI6SrO1cmXEz0RQNISkrCZDIxYMAAxo8f3+LYrcU5XSaekpLCqr07IDSQ0Bw1jVSUfKkNyXntzSWs3rWbdWvXAuAdFMzk8WO5Mz5BelH96V9LpHBYpKN6BAYR7etPTkUZi9d8TebuXXLfeYMGU4WnLDkfFdNTdjsWOppgt6b0joDwpRIkQxATgForUQp28+CiC1UtTfbu1dRXFUhSAND/5leptIqata7oWj8rob/RRmvKctMwBcRKHU1o/Bh6DbsLaCpHz9y0jrgRI/ENi8M1boqNJkik0QQaMpfy1cLn+T6rshnJ6W12ZVCfUILCIygpUP/YhQZoyXL1P4/KWgu3XhlJUHgEjY0Wynvcx46dP3F4y0d8tTWP6Q8/yTPPPGP0a2+Gc710duvWrYwZdhmrLrsUN41ZntDhGD1o9X5UbX3g6wnE6bJ3cIZQOduksDX6IAG9d5e2iaEezkZyjHQ7JdU1fL5pP7/V11NUW0uGmzvbt28nODjYqTHP5WvdYrFw2WWXMeWqSxiSf0hqSU7s2srr9y4DbCuFtA/aCbc02Tq0pfNwR3QtdjRua2HPN8uZKIz2exPER0uAtATHS5cu2z5/rY0flrMO5/qozimLhZ3VFRyqPUFtYyMbfvuVWX+bx4MPPujUeJ1l4sDVV1/Nqv9+B5pSwpGjR5P65mIAeo5XGyTFhZn5pb8aLrsgVL3paL2oBLmJ9vVvprsR+4j9egQGSXNNbXTkkzy1lPymSLXUWtg61FujNgBuqOJgQSS08AtIADfbJn/fWbUrvVPUCIt/VJIkNwKuAQk0lKbLFFb54QNN9g5WEuVmCpdkyt+qG9JCfA4KP0DU0GnUVxVQlbmUmLhJsvpLT9Z2WwXOEf5dmvXhCevmRVB4hDQJLTx+gqPFnwJwaQ81dqWmslS4uCgM7+tO8qUTKBvbjYdrfLls/IPMnTv3D+N+ezoxcOBA3IPOx/PlVygYd3szQmOkBREP4ZZIjrNC4NNFbIzGb0sVVGu2NSIu2qiXgD3RsYAjDY49UXKQtyd3Xz0IUH9HrwWH8uWXX3LHHXc4Pf9zFYqicPXVV7Pih+1c/cG/4POX5Lr7FqsSA231khbtJSbtjeLoK5mMxjVa31IPH6PqLaOojH47o745RpEb0ZRQECLhi7Xioz3NtDj2yI6e3Ih5XKCZ290zruG2hX93muA4i3Oa4Lz88svg5QGNTf8pCHID8O+pdzFr7Sq27NgpozZCyKslMNG+/lL/0iMwiMVrvqawSH1AvDB1MmMH9JfRnKxjJWQWFjF2QH+p5xFRHoCkqVHENh6R5d1upnDE7LQl31rTTfFeK1gGmLl8GReEmvlg/I24BiRCXY4kToAsSc/rciHJU5ZLZ3KhxQGVGIlUlpspXNULWS0mBGoDEvELSMBkFUOLKI8pQBVNCx2Odp1f917EA/HAaNSU0459R9hf1NCUorIirJsX32dV2jQZBPhwfR63Xqm+97M6rvuGxREZHkSAvy+7d+/moosu4n8d77//PqdOncLPz4+Eo/vYdvllzbZJ3VbYrGRckhw74zrTD8YecXCWGLUFjoiYQFuPa++cnR1PH73RkhxtCsvZyqsBxw+xfr2lk+Cgioznz5/PLZOncurUKU5cP9uG5IB9ImJPG+LseqOxW0OaHG2rL+F2NoVlb38jouLMWNr1Wif0RtQydWEVUbRtrxQQGwmOwVZgLGD0HYu5dys4RlXFbxw+fJju3bs7PN/W4Jz+93flypVc2WcA/SobbZb3HH89o+6+1yZKAzBr7SpAjbLMGzRYLk89dJD+90/nhnf+aROVEYj29Wfm8mWSxGihFQaLKI8eDaXplGcukw36jJC3eaWhNkaPjKUTZVpKS3YEtCXiFYWZVBRmsn/lAqfGBrVvTd7mlZQfPmCzT6V7NK5WEhSZPJfI5LmyLD1yeIpNX579RQ3s2HfEptngo49P5a7nXuCu515g0t23s/Dtv7Hw7b8ByGiWtlIsadgA1q9f79Scz3XcdtttzJo1iyFDhvDqq69y6bdpQFNqavdvdRytbVB/asrHHT1g22NjAM2du08n7EVcOmKb0wlBdKD59yWWD40I4dtvv6WxsdFwjP8luLi4kJqays4ftvGnMSOpyWsuOL/4kdGs+GiPU1oRPUQ/mLMFQS6c6bxsb672iJQjrY09GPXmcQQjogPY9NmxR7AKthbQt8GFb7/9tlXHbAnndASnX79+rFu3jn/84x+88MILcvmCiWo4U3Qgnjx+LD0Cg8gsLCKnoozLPasoy02T22cWFmE5VkxhURGvb2xaPmzQQLKOlbB6124Ki4pkFdXYAf3JOlYiydDUyEhuuvsBwDaVU1WaTYVGG6PF2tQfGD1KFQ+LdfrU0c67p9FQmo6rlcjkbl2CX/deHMlYg2+YSj5io5KI8Wuqzsp2CSXGzYKJpoiQb1jTOXmUbqQBNWoj8OuGx/h+0zpJUoQlw6TuvdQxQDY8lOeGJ1FDp+Ebpmp74qcsp3dKOsufur1Zl2RBdLTnJ94LcqPt2+NmCufKq67grQ/WMGvWLP7X4eHhwezZs5k0aRLjxo1j//79/LmxEVc76Tt96kSkXxw94J2JyLTGiqEtKa3WpqaMCExbuxYb7dvaMQRp0X//jr6vUB8vAgIC2LVrFwMHDnTqOOcyEhIS2LRpE/PmzSNxzPV89tJsLqyz7fI+4ZZ+zSwbwNaaoK1EpiXzytMBe3PVnod2LiISYy9dZc/KQbx3VIqu74xsb24/HC5vlUYHYKDJl3Xr1nVotPKcJjig5m3vvffeJoJz6pQkNoLUiP419yUmkezngwVwjZsCvCyXi+qpX44UMTKh6UazLn0nB1d9jhIVDWazTUdjUElUZHwCURUb1QXWFJNI5Qg0b7xnu0xES7RprLwNQmTblL4RpEVsp+2vU+keTV55CXlAgpXA1AKmADW1tPtfDwHQO2Vms6aCAiL1VJj6A8vefI+wbp9yzQNP4B+FJIUmwEeTSnMNUF3UgwMSueaBJ/hx+SI+XJ9Hflm+TEsdXfEpiZpzOGJNSZUfPkDvlJlSpyRSZ4nDBnPbtDmcOnXqjHfH/L0iMjKSzZs3M378eH5MuZ5Lv/xCfZDqXMWNdCGtedDr0dpIjbMExZ51RHtE0VqioiV1zqSMWvqOWlMmriU5jghmyZ4ikpOTSUtL6yQ4ViiKwuOPP05sbCzXPvggWT9u5tTX78r15iF9mYCtL5UWLZEb/XojInM6yI296Iu+w7B2fvbsFrSl6Ub6H70buna91gH9xK6tbJ+/tu3npCOZNut0c7KUWvjvf//b5mMZ4ZwnOHq8MnYEqYXGNyJtE73XNzYZ5ib4BXHvmKtlCkpobLKOlXBwfSpgLT/v31TX3yMwqJm1gYjYiIe4KSBWVkDtX7mAyOEpNiRFaFuUuiJdEz1bCFGyf1QSFnczlXhS7BIqtT71VjdyLWVJLy+R6bMokGRrbeoPZOy4XTYQ1EKkz0oK8qVnVeKEG2Wqa+OKT4kf1I/+N7+KxarjqSjMxD+qCKzWFK5xU4gbkQnr325WXSXK2P2692LZm++RX3aKRx+fimtAAkpdkXpuVn+uwlILoaGhneRGBx8fH1588UVuvvlm7s/MZPtVlwOqo/jR2gb6n+d+2o59plJSRsd1hqAZzU/s62wnYnsw0t7Yg5ZgiuM6ahpYUFDA5Zdf3q75nYu44YYbWLRoEV98tZYbrpsmTSgBw/JxLfSGk45gFCXREwpnqqw6ohLLaL7OaIe07x2lwGzG37bXbnpMECt7aSloIjXOftcVloYON+c8pzU4Rpj32gpSX1lA6puL6REYJI0x16XvZPWu3cxcvoyZy5fx8uimmnwTNbL6CdQoTpI5ih6BQfS8chR4edNz/PWMTBgoxclJ5ih86nK4KbInMW4WXAMSZDNBQWBcAxKIHJ5CSUE+kcNTALWKyTUggWyXUN7Jy7OxbNBDCIWFtYLsDFxewqy1q3i7uJ7agERqAxKpdI9uFpXJq64gr7oCN1O4dAMHmpEbrYVDSUG+9JlKnHAjvmFx+IbFUX74gCQ339WYeCcvj2yXUKKGTqMsN43YxiN8kneQ9PISQuPHcFU/lVyFdfOyOZ4gecKgE6A8c5lNyhBgy39TSUxMpBPNcckllxAdHc0jjzxC0b7mN3jx8NVqQKBJByKIQFsa13UkarJ/NozUGC07k+RKfG/alxZ6cqPXPWlfLSGgTzCbN29mxIgRHTP5cwx/+ctfmP3MC+T98K2s9hEC2YhhEXY77OqRX1Pv8GENTQ9oe9oXu0QB58vBHW13SXe/ZiTLTDyAFgAAIABJREFU0ZyMxhbj66vNWqs/skdu9GanE27pJ4+r97cSxxOff2ms6fB7+v8cwXnxxRfh51/AYuH+u6fJlNIFoWaZhrog1GzT10WkRUYmDCRz9y4Ork/lrYx0on39uSDUzH2PP869Y66W20f7+hPs5kGlezSf5B2UREWMU1WaTX1VAQ2l6fhHJZF079+b+UYBzHnnXV7fmEa2Syi5VkdyLUwBsfiGxdE7ZWazdfclJpFkjiK9vESWqIuGhfqOyNkuoUQOTyF+UD9Gj7qE3ikzbcYUpEZLbuIH9SNq6DRc46bgH5VE5PAUoqesZPbeQpkCBLXpoIgsTY2MJNnPB9eABK554Al8PBQKj58gY8cernngCYLCI/jnk3P4cfki/r7sMxklEtYOAvVVBWza1HnTtwdFUfj0009Zs2YNn5WVsfu3OrWCysOV1OLqZtsbEZmAPtHtjmq0Bh0h8D3dwmYjMqOHlsyE9O4mX+BY1K09hkBQPzOZpb8RGBhISEhIG2d9bmPkyJE89NBD3PrCWxyPbn4/sOl/4wSJ0UO/vYhetCVFJUiQeOAbkZn2RnccaWL0x9CSGwFBSOzNRRCblr5Ho++npQhWuXtDh9/TO4zgKIqySVGUSzWfRymKkqUoSrWiKJ8qiuJjXe6iKMrHiqKUKorS/Ml8mjF58mQGxF0Iv6oP+/vvnsZ91q7Eop9NXJjZpgKpvqoAEzXcGZ+Ad1Awpj7x9AgMItLbl7ED+vPuqtVqs7/CIrncRA0mamQ/nAS/IOqrCqRlwpGMNRzJWCO1MiKCIz4Hu3kwbNBA4sLMzFq7illrV7Gpy4U2ZeJupnD8o5LkezWVVUOkty8JfkHEuFmI9PaVYmex/K2MdJmOy6ko462MdH4KugbvWz+h/82v4mYKtznO0eJyCo+fIG7ESK554AkSJ9xI/5vV7sNCNK0XQCeZo4iq2I5SV0RZbprs2txQmi5TVxH+XRg96hISJ9yIa9wU4qcsl8c7krFGio99w+KkBsdEDQ0Np9j8/e6zFsH5I1zr/v7+PPvss/ySEE1Rbb1NV2N9NZURnCUcHUEoxLG0P/Wv1nRabg3RcSQebq2mRk9uWhOtsUeevi8o6bzOW8ADDzxAydEifti2VVb+eA0YinlIX1WPc4ttRNqIBER4ujllIOks9FoZZzoot3b81qTZjNJpRuv05EcPI2IzoXegzUsfqTGCNsWXvyWfk42N7K+pZvjw4S2eS2vQboJjvejfBIZrlvkDy4BZQDigAM9ZV18FHAAigGRFURzJSzociqIwZ84cLj0vGKydNHMqyrgvMYm4MLNMWWmx/KnbUeqKCHbz4IWpk3lh6mSSzFEyIhKmaaWedayEtzLSZWopwS+IZD8fGjKXUlWabWOpAE3iYVNALH5xk6gNSESpK8KnLocPxt/IqJiecl45FWU2jfwsGvdxobUBiG08IglasJsHCX5BpJer8xKO4AJGZe8Wd7PN2ACD+oRKchYaP4Zsl1CyXUJl6khEmEbF9GRUTE+C3TykjsgvbhLXpf7I+9XB7F+5gA8fvpJlb77H6FGXAKr2Rtt1WSwLCo+QxxTRr4bSdJ56/jX69b+YmJiYZnM/nfijXesTJkygpKSEm//7If3Pc5f6GyE41pMcLaHQo6OjI/aO5YhYtbeZYFsE0vbSUFq0x7ldHMMIeb9VseTnQu688852jd9a/NGuc1dXV2bPns2S1//Or27N72daaCuqnBETtwd6kiOO+cPhclZ8tEeWs+tfjuBMSspRCbm+Z44R9DodZ+fWEvQRI+2Y/ziax9gJf+pwE86OiOAMRxUrV2mWjQd2WiyWLywWSxkwD5hoXacAXaz7KMAZ94q4/vrr+fXXX+G3pinr0zbv5OXJ97e+sp6y3DR+3fBYs7GMCIIe2qZ5Ar5hcUQmz2VeZQ/erw4m1/diDtUrFNfXUukeTbZLKCZqSPALokdgkCQleh2NICKuAQnUBiTSUJpO7tYlMlJiD0nmKBL81GiTGDvGzWJTpWWE8sMHZDQFmkdukv18pC2FFiL9l7FjD9/sqSCsmxd+3XvR/+ZXWT92IQ2l6Zx365M8W9mTxAk3yv1KCvLJ3LSO3f96iIylE3n5L7P4bNUWPv7447PhRfWHuta7dOnC7Nmz1bSsDvZ8qvRoiQC0JbXU1n2MSJG9sZw5RkekxYzIjUhJOUOO7K0rP1nPnSvSePLJJ7nkkkvaPc9W4g91nYPaC2rXrl3k79zcrH9LzPRpzN7yepujMe2FUZWTM9sbvfSRm5aaF+qJiZ7U6D87NC41iN5EeLo5pTcySoeJMefuP8SW8nLefvttu8duKzrMi0pRlF+AiRaL5XtFURYAjRaLZZZ1nTtqRbIPcAL1P4ErgWctFstCJ8Zuk0ePFmFhYS1vZAc//XwAn7ocdv/rIenWDU3ppNqARD7JOyg7Hgv9jk9djqz6KctNo8Lq6u3XvRfnJ8/jz6s+5ZcjRaqOx5omE0QrrSiXJLPa9fi7mqZ/iCK9faVH1pnC3CvqiB/UT567NorkUbqR/SsX0P/mV228tESpuqiAEuu0NhTlhw8QPWUlMXMf49Az8wgeo3bgrV7zNRlLJ1JSkG/jV7V+TwX/2vIrm7fvoVevXs0nagcd7c9zuq71jrjO9airqyMmJoZVq1axaphKHEUEZ1Swt2FFjxbO9o1xpj9OWyHGbu04ovS7Lfs7m56yR3DsfZf6OeiPE9TPzMEdudy/aw833HcfL7zwQquIfEde67/3e7oeCxYsID09nQ8Wzcclv6lfS2NEX1zy93Ji11YenfIBEZ5u7eqFA/ajPUal3Eb7tPbYglxM6N08wuFoLGdIlaNIltZ3yghG87GntTGa59aGcjbVl7E7J6tVHYzPtheVL5ArPlgsljpFURoAX4vFUgXc1NIAiqJMA6adpvm1CunlJST7qTcsU0CsrFbCKiKO7lLCTZE9ZXSluL6W2MYjZLuEEluXI4lQ5qZ1DJ44A9e4KaSX2zan0kaQ8qorZKPAGD8zqXt/BJCpnzMNLbmxuKv6pPLMZeRtXklJQT5xI0baVDmlLVb9RILCI4gcnkLe5pX0TpmJb1gcV82eJqNOvmHL+HXDYxQ/M5fyzKVsm+BH/5tfZffSifh172VjxPnvdfv5eMtmtv64j549ezab41lEu671032du7u7M3PmTJ577jn+rEtRpRZXMwrHrteONCotbecMoTB6wGuhHdPZcnBHY3V0Lxs9jL5LMWZLYwf1M3P8RC0PHtjPpIce4tlnnz0bUUp7+N3f0++66y5eeuklvs8p5tLovpLk1H65BI9x0/CI6At8ILdvDcnRey61lRyJnjPtJVh6aJvqtURqtH1vWpqDo3lGeLo1i9as+GiPHLcln6rN9WX8cOo39vxyiKioKIfzaCtaJDiKoswBnjVY9b7FYplqZ7dyQDpDKorS1XqsMjvbN4PFYlkCLLHu326qX1hY2GzZ22+/zb/+9S/S6stAUXjtzSUy5SREuEnmKNKKcon09qV3ykyOZKwhMjmB4vpa3spI591Vqwkzm7l3zNVE+/rLCqI74xNIK8oFcxTBAdH4BSQweKJaBp5dXysFyllhanPAvOoKIr195c8mB/IaMguL+OVIEXfGJ2Cihuzdq+U5iCiJ8J0KdvOQ0STRkdkUECub7cW4WWSDQK0WSJtq0rqTA7KTcn1VAa46bc6VT22hCk8Z4QKVkGRuWkfk8BTVusEqoBbHEAadIhKWsXSiLFHP2HElIcF+smIrKDyCVT8c5x/Lf2TbzgP06NHDqd93W3A2rvWOvs6NcPfdd/PKK6/w2MoVrE26udl6R6aQYOzz5Iz1gTPQ+jOJn1pi4izBai35MUJHlcUbRW/037HRd37gx1zu25XBbbNmMXfu3NNGbs6Ve7oeJpOJWbNmsfClF4hb+gHnWyM3XgOGgpXsaB+0bXHFdgbOVDLZgz1CITyfnE116T2z9KJeI+TX1DOhd6DT/XqMuicDrHDQe0ic26b6MtJPVbA7N6fDe99o0SLBsVgsLwAvtLSdDj+j5mwFegFZFouluTnSWcTtt9/OggULoMtJ8Pdl9a7dvDx6PHnVFcx5512q9mVw3+OPMypGjRio9gVrVG2LSyh3xifYjKctj86rrmgSInsDbp7yAR/s5kFxfS1Zx0oYFdOTnIoyaQERZyU8WcdKyAks46bInnJOwW4ebLBGk0TaB1ThrUnjNi568ST7ReIaN4Xc+lqiSrcTawrHgln2phEEQ0RfqkqzZVRmx74jDOoTSlB4BL5hcfhHJalpNmuHYaBZebogMgCDJ8bJ8m5tmXfu1qZmXL+CTf8dUKNFglAFHT7AsS7BvLR4JT/8uIfYWFu9T0fjXL3WPT09mTt3Lo899hjfnchiuktTKDi1uJpRwd4yGqEnHEYP69Pt2dRSV2F7RMSRlYK2e7FYJj539Pk40xXZiFC+nJnFjTNm8PTTT3fofPQ4V69zgBkzZvDaa6+x88d0Bg5OkCRHuGdPuKWffOBroU/BaAmPfp29dI0jkmTUcdieIaVY1wwiKmKQBhMESMxBLxQ26oDc0vmI+TjjMSWO6cxYR6ljE+VkFuS2SzriDE5XiuoL4GVFUUYAe1H/mD4+TcdqM1xdXfnrX//Kn/58M/j5SKfxl0ePZ/L4sazTWC+kFeUS7etPcvJc6kvTyeui6mIE+Yn09pXu4QLBbh7grf70qcsh16pPMbmbwc1TlpS/vjFNHjvVy5vXXlFLsLOOlfAJcEewG7Ge8F25lUTF9ORyT2ztC+qK8EHtaSOsJw6Zowh2o1laq9I9mp+CTFCjVnn5xVndw0uzJbkBZM8bv8JM/KOSqCjMtNozqP1p4g8fIH7KcorrazG5mzEFxNoYcG5c8Skhm9bxxeZ8pk08QElBPoMnzmBeZQ/eXbWagzfHkblpnc3c/Lr3khYVvmFxPHTLczz1zLzTTm7agT/EtX777bczf/58UlNTedPyC097xtqmqoK9bbYP6mdulev16YSzUZzWjKElNh1JcgRRNIrQOIqU7SgrJ8/kQ+ozzxiu/x3gD3Gde3p68vTTT/PXp59ixZdN/4x5DRjKiV1biZk+DfOQrTB/bVOjOTuO2HrYIzBiX0EwjCJCLflJ6Uu+jewYnIGWAOkjMPY0QNrz/+FweTNihB2SI5c5MTfxnViwsI1feeP9paed3MBpIjgWi6VUUZTbUBOegcC/gealHL8DXHfddVzcJ57tx4ohyJ91a9fy8ujx3BmfwJ3xCeRVV8h01esb00gNMwMKmYVpjB3QX/a40ZpoCmsEC2ZMbtBQupF6IGroNNlROLYxh6mRkVThwbq1a8HL+oA5US0jMCCqtLTFDGr6LMGvpywFF5qWKjyJrcuRgmVBrAAsAQlk1ytQD1DbrGoM1JTR4InA8kWASnB27DtCUPgBotTmoOSXnSKsW5NBZsbSicRPWU5DaTq1AYm4BiTSkLmUH5cvInHCjZQfPsClPcptzESbIl9ZquBYY+RZfviAFClv31lJ6akApk+f7uRv88zjj3KtCzL/2GOPMXKkKvIW9g1grarSRXEE7JEcI9LRHqLg6Bhazyh7aIsOqCPIkz20VD4uCM8pi4WlShdeeuklPDzOvMbOGfxRrnNQK6rmz5/Pj6n/YdQVyVJkDKq3ktrpuLm/kox+WBvZic8tpa/061vcXpMC0hIaGQnR+TdpUz7aMnetXYKzc3V0DpKoOejIbITWNE88xAnCB/bllltuaf0k24AOIzgWi+UC3ecvgS+Nt/79QFEU/va3vzF2ZBLV4SF4BwVzwzv/5N9T7wJUMqElHKDaOhQWFREXZiba11+NzmxdQtRQVT8nPKdEJEJENfwCEqQQub6qAKoKMAWozQMJCqa6pBjLsWJ6BAbJaNDQ558G4IWpk4nWcRLhzyTem9zN1FcVMAK18R91KjEqy02TNhFC46ON6gjBdHp5CZdHJQEqwSk8foJBfULpf/OrqmB66DQu7fGp3E94TuVteMbajC/R2mdnGO7FzxNkNcrM2HE7ofFjCI0fo3puAc9fEAuoflzCCkKQoCMZa1AiruGeGQ/z3nvv07Vr11b+Vk8v/qjX+vXXX8+CBQt46623mq0TPlUtPZRbiuhoyYIzgl4xljMEyhmNzJkqW28vtN/zouwcuvXqzQ033HDG5+EIf9Tr3NXVlXnz5jFr1iNcNmyIJI0iigMqydBHMURDQGHS6Ui4q+/+C821LkZpsAhPN0Nti1GUxl7aTDu+NnrUUXCYJmsHMmpOsJVf+XbRKlxczoyJwv+c2aYRLrvsMm66ZQqf/7yX8vRtHPTy5q2EgdwZn0C0rz9Zx0qkmFgLkb7Kdgkl76KHOVSjpqpi4iaRt3midMIWRpS3LJ4kiYVwy44aGs7yhx5m5vJlYDZTWFRE1rGSZukuQIqPRfTF4m6moTRdEij/qCRqAxLxKN1IWW6atH/wvvUTpqxaxX2JSeRUlJFTUWZT0p5eXiKjVAl+PQkKj2DJ8q1MmzjUJvICTT5VkcNTpOhYRFy0rll1s9fibY6Ciu1ymZin3noB1H434li//lbDrXffyKOPPi+jDZ1oPxRFYcmSJSQnJ7MrexdvxV5mE8VJLa4mxMMVNKkUvTZHpK6C+plbjH60FOFpa+pLzMEe2uIM3lqBsbPN/fTfo/gZ0rsb5/cJ5p+pO9lt8mHrJ5/8niqm/vBISUnh/fffZ96rr3P/Uy9ILQ4gSY6WVEy4pR/mIX3xGjCU2dMh7ZYn7YplxfZamIeovXe06Z2LHxkNwHZrOkwbfdHCHpHQRpSMoE0f2YvciIopp7yq2im0tpfqi/B04zdLA8tqS3jjvaUMGTKkXcdpDToJjhXz589naUgwXKgSi3dXrZZkQhCZwqImr6qRCQNlhRU0CYxHxfTkrUMHof8jvNQ3TG1QZxXRfnRvHxsRLajRlcujkvj31Lu44Z1/Ul1SDDRFWkDtlCz8rfJQuyfHzH1MVm9NjUugoTS9Kf1lCqciY408zjdFuWzZsZOxA/obnruIUmk7HD/6eFMxRVluGlEBsdSjEhvXuCkAuFrLxYVYuSFzKXfG/x9Dn3+a6pJiFj7+GFMjE5j47Hssf+p2vtlTwczbhwHWKJe1L5BA+eEDFCtB/N/sz5l+7wM88MADTv/+OuEc+vbtyz333MM999zDFyey+MKs3pgFyQE1XbV7W6HN8hA70Zb2pHjspZ9Oh+bHXmTpdBqKOqpMA5ixZiuHFQ9S136Fv3/LDUM70TosWrSI+P79ufL6/2N4T1XvoY/iCEIiyA2ofXMS//sfLv5yCdvnr1WJTjuiGhc/MpqLUQ0uRRm1HvpokhaCONgjMtplztgkaGFPA2R0jLZGiX45VcP7J4/w5LPPcNttt7VpjLaik+BY4e/vz9I3/8mUB++D+B5UpW8jp6KMZD8fgiN7wtTJNtsLwiH63wix8esb09iyYyfVJcXc+dobRA5PkQSn8PgJ2LEHduwhJNhPVihVukdDfS33jrmarISBPDFoBCZq2FBeQdW+DDJLiomcehfF9bVc7lnFd9XI5atDzWpDQFM4tVgFxXXI9BhAkm8UL2jmL6I3MW4WqkDVAlnd0j1KNwLYpNeE+3m2SygxAQlssPbwyakoY2rcJLD6TflHJfFTdYVMtUX7+lOFJyarueb3M2ZLEbGbKdwmPRUUHoFf914sXrKZRx6dwzO/X7HlHx5z5swhNjaWrVvVG73ewkFA+zl1WyGjsI2eCCKiFeuKz63R5wiRr1bYDLaRGEdEREuIWtLotBUtldK3FsW1tewsr6GgIAtPT8+Wd+hEqxEaGsqcxx/npeefZfiH/5RaHK8BQzGi0EKfI+wezh83jYuBiG17ZRTEsIR7WIR05zaCIE5m4BKDaIozEZ1LULU4+TX12OtrfUl3vxbdyLXH01ZzabdZsf9Yq3r9tBRp+u/Jcv726is8+OCDTo3XkegkOBpUVFSAm+1XonpKVTZLGeVVV+BTl4PF3Ux6daVM8QAMGzSQsQP6k1ddQWxUEiHBi+S6wuMnCOvmJSuU2LyS6LgpBLt5sHrXbn45UsQTg0ZIL6v7Hn/cJrJicTdzOUWy0ira158YNwsWzDZCZ+EDBZBXXmEgXG7qRyP0O0pdEbkZa+idMpOq0mx+XL6IwRNnqOkn92je2rFJCoRTDx0ks7CIaF9/cirqmRo3CQuQ4O7Jwscfk8fTzunSHj7SOLMST0zuZvy695INEP2jktjxaCoPP3etk7+xTrQFXbt25dixY4SEhDDs6D7+E9JHkhx7OFrbwPsbcgmxRnaEXkfbtdcZCwUtnEkT2WsEqE2Vie30REcfaWrpWI4Q0rubDckRn422g+bmm/pxvttXwJVXX9lJbk4zKioqCA9seoBLM06aUlV6dMvZBNb1HuOm0X0cmL9cAtZojl7oaw+S9Fh/alNF9lI59khK/pb8JiGxRqTcUkTJXnpKX1Gl1RFpt+kIkXFliA/XXnt27ulnRunzB8FNN92EV72F5579K4V/v43Vu3ZzzR238/rGNJmKCnbzIK+6gtRDB6l0j0apKyLBL0i6hmvNOoU55uCJMwgKjyB+UD/yy06pkRzUKqWSgnw8Sjdioob7EpO4d8zVFNfXklNRRuqhg/QIDJKEJNjNgyo8KctN445gN6ZGRpLgF8SheoVD9Uozg0yxXEBEmWYuX8astav4JO8gJmqodI+mCk+yXUKJGjoN14AEa0XVDPI2r5R9crRRqnXpO6WmZ/Wu3ZIsgdoccVRMTy73rOKblyaQu3UJPy5fRPygfpgCYmkoTcenLoeG0nTKDx+Q5Mbibsa1q2enFuE0Q1EUJk+eLMXG1x3dB9CM5IR4uKqaHA2O1jZwtLaB1OJqUourObr/eIekeVrSzegdue11B7a3jdF7e/sZwdmuxfaIjXb7kN7dcEXpvM7PAG655RZWrl5L+W+/yWVCiyMiK+K9xzi1SOTErq2S/Ljk76X2yyV4DRjKxY+MltYETj34reaW+VvypbEmOO65IyCc0IW2B5ocxMWYIsWmTbXpj683+xTjaH2q9HoisU3EsIhmlV1tQdeuXc/atd4ZwdEgJCSE6Xfeyfrn5jPvwu5U79kJQOqbi9mSMITJ48fKh7z4me0SSgw1JPv5AJCjMcbMOlZCuq8/kd3/j/i4SeRteIbK2i2EdfOSZdZHi8tJW/wgSff+neSABBujynXpO8m0+lTlVVcQ7Oeh2iSgNswLjR8DAYmylD0mMlJ6PvmGxRFjrZwK9guCGJXYZO7eheVYMZmBwaoB5pirWb1rN/clJjFz+TIWTJzEiKp03EzhUlujtZYQVV2Tx48l0tuXBD+14sujdCMNgI8pHB8g6lQB9VVw1ewVNt+xmNuP1nOOn7JcNi2sdY/G3dObEydOdOSvtRMGmDNnDgMGDGD48OFcc801cnn/89ztGnEakZ3U4mpCfquT6Ssj2POC0i432lebDtOmxfQExV4XZD3sETF9VMge2pOi0ncxdldcOq/zM4DY2FhSrr2Oux6YxdLFf8fb28tmvSA5W3wHw28wJKIvXgbjCMJz8SOjbXroyF46VjGv1gZBC200RJ/Ssfmp60NTZE2PiWMZRWy0JMjRcfWpKCNoxdDabfMdCK5bgqen51m71jsjODq8+OKLxPfti9fqb8A3AABTwhCGDRpIj8AgZi5fxszly8ipKOOTvIMEu3lI5+4qPLkpsidJ5igZdRGVSkpdEaHxY+htbnpIBIVHkDjhRuJGjORIxpqmyEbmUm6K7MmCiZNkTxst8TEFxOIbFsf+lQuk4/hNkT0pz1xG2uIH2bjiU75a+Dx5G56hoTTd7rleEKre2McO6E/qoYMsmDiJyz2rOJKxRnZJ9o9KkqXtr29Moyp9G1Xp24CmPjtRFdtxM4VTVZqNxd2senWVZlMbkMh1qT8ye28h9cOfBprsIQZPnMGmLhfyTl4e2S6hgJrOMrlDTc3vqjnqOYmIiAi++uor7r77bp599lnGFeyWxKb/ee420RyjSI4Weu1Oa+FIpGzUk6claAlLSwLoXhOHEdAnWm6nP56IyLSF3OhJjRZdFaXzOj9DWLx4MX6BwSSOSSHzUE4zt3GAIefV0rObGoVujOhrs43XgKE2LyMHbkFC9JEV7TZaGEVxtMSiaNteSW602h/xPmJYhIzwiHnFTLe1+dI37Gsp4mPvnNrrmeXl5XXWrvVOgqODm5sbr732Ggue/ysB235gend/dl4Xxefjx5F1rIQLQtVS7vvvniZ1JrUBiXxXY1I7+tL0i+wRGMRbGekU19dSX1VAVWk2o0ddwvdZlTI95RsWJx/6VaXZklh4lG5kxKmfSfbzIfXQQZ7fsYni+lo2lFeS63sx/lFJlBTkk7F0IjlLU/j+2YH8aG3QFz+oH/GD+pG5aZ3aD0cHJTAY7yBrBAdVk9MjMIhkPx/KctPI3LROkhyLu5lgNw/pnYWXN0pU00PjuxoTtQGJWNzN+EclodQVqV2RrecQF2bm9Sef4K0MNR1VYe2K7Bc3SUZ/YtwsVJVmqzYOtcWd/9meIQwZMoT09HQ2btzI4MGDGfXdh5Lk2CM7RgjxcG2WqtKShtJ9Oc2EyM7AXjrJGRjpgvToNXEYnrEX2t3O2UZ94qWFVrNjpMsxd/fvvM7PEDw8PFi6dCn3zLifpDHX8tzfXuFEoG2bCpf8vVJ7I2BEhECNmGgFutqUjzNoKUW14qM9Mg3VGnJhT1MELVdVieOJ82m2fzsaCXp5eXVGcH5vuPXWW9l3IJtqJYL+VzzGlfFhzOsTyufjx8kIxutPPkHimwv5JK/Jg0poXiK9fSVxyKuuINf3YnX58BSuHa5GbqTQGDWyUVGYaWN1kOt7Mabp9/DuKtVcU9ucTxChBe9tYcF7W6QxpahG0m4nSNfIhIHE9R/AyNGjqS4pJnP3Lhav+ZqptwVlAAAgAElEQVSJr77CTZE9aShNxy9uElfNXmFrxEkNMW4WpkZG8tXb7zHjDrVMXER2tMcqy01TPaus5/LEoBEoUdFqyf3wFHzD4qivKkCpKyJnaQpRFdspz1wmydlJixvu7o4fqJ3oOJjNZr755htmz57NhAkTKLwlmcR9G3m6Jpuna5quRT3J6X+eOyEerrxp+aWpCsvJ3jDQOqLTWghi5EhvIwhQTfbPzfYVMCIuWhiRmpYiPWKbmlOnOq/zMwhFUZg+fTo/7drNgZw8LhpxJWszj8lozfHoERyPHiH1OY4g9Dj2iI29FJWzyK+pZ8X+Yw7tHaBJxKzVDBnNw0hjI9YJ4uNsWXlbtDjV1dVn7VrvJDgOEBwczPvvv8/ab9L4zasnMTGDWP/e/TbbZO7exQMvzpNmmWlFuVKQnOznY1N99ZnHMD7zGEbu7csA1e7gq4XPy/Xlhw+Qt3klXy18nqrSbNKKcrHk5lC1L4MegaodRKS3L2lFudKHCsDHo7mAS7hx71+5gLwNz3C5ZxVPDBrBT5PHybSX5VgxB1d9TlX6NhLfXEiu78VsKK8k2yUUv7hJNseowpMqPJtZPER6++JTl0N55jL2r1yAX9wkqd0xBcTiUbqRgodGcFHJV7LBn2tAAhZ3MyUF+RzJWEPe5pUEhUcQOeRODuYcp1+/5n+QnTh9UBSFSZMmsX//fry8vOjduzdvvvkmJ0+elAJke/hPSB+bbTI+2UPJniKbqI0WjvrmnM6eNFpoo0sAB5Zvke/tkTQRfWkNidPup0dOdXXndX4WEBERwYoVK1j0jzd4cM7TTJx8F1mHDsv12qiNnuxoSYQgOQIt9pHRCHb16Sgt9DYN9iAIikhlbZ+/tlmpesSwCC5+ZLRdjY4zaSpHVV/OoBELBw8epHfv3m3av73oFBk7gcsuu4yffvqJRYsWMe2vf8MnJJDKLg3g5YElV72Jp765mJdHq2a7WcdKVA2OlQxoS8hFWiv6ooe5aug0crcu4auFz9uIjguPn6CiMBNihsn9hCdVXrVa8l0VqXYc9vFQL/Tvsyr5Pmsr1w6PkIaZYd286J0yEzdTOPVVBfgAbxfXs3pXGt5BwVTlNj2ACouKuOGdf3JBqJmxA/qrvX9QozeiQkpEbITAWhC52GA38javlG7iFnczvmFx1AYk8udVn/L5+Emsf3YYR4vLuTZ5nhznqtkrbNzFi4qPoSguhISEtOv31Ym24bzzzmPhwoXcfvvtPP7447z00ks8+eST3Jq/i/u69gDUdJReiPyfkD4246RuK6S/9aEef5NzD/GSPUUd0mvGXsTGGZ1PyZ4iuwaZzhIb7Xb6/bRjZ1VVc0N8vFNjdqLjMXr0aPbu3csrr7xC0thruWLUGB56dDbnhzUvKYfmZAdUknPf4qbPSQOGyg7IE8BQ62IkNhZwlkQIsbE2UiQ0OdrKMC2EskyQILG9dpl2fEfzaanvjRYe7hbCw8Px9vZucdvTgc4IjpPo2rUrDz/8MNnZ2fxl0i0E5pcy+LwQqGlK08SnjCLa15874xNkVVVetdp5WNgjjIrpSY/AIHIqysh2CSU0fgyJE25kx74jfLE5n++zKtlf1EDmpnUqqfHyRgkMlvqYi0q+4qW+YTRkLgXU3jKVtRb5+nB9Hh+uz2N/UQMhwX4yWiIa9QmCFWY203P89ShR0Taaml+OqFYR6eXqa0N5JcX1tTbpqEhvX9n9OOtYCRZ3M5HDUzAFxEoNTkVhJp/kHWTd2rVsKK/kqtkrpM1DXnWFTLeFxo+RKbVVix6hm1tlZ/nsWcZFF13E119/zUcffcTHH3/MhRdeyJD3nmFRvW3ayh5Eymr3b3VkfNK8c6s9XYwjctPayIlIQzkjNNYKjPUvbWm3Mykoe/PV75d7qo7+/Y07i3fizMDT05O//OUvZGUfoldcLGOvSOLuB2ex+0iFbPYn0BhhSx5Eakss8xowlMaIvrKU/IfD5VJLo0dbuiGLTsZG0EdpjLRDstmgg4orPex1TW7N/I82njyr13lnBKeVMJlMzJ49m3vuuYfXX3+dH+d+A32iwUdlqDkVZYx7fDZfvviSSnK8fWVaR0Q81OZ4ZaQV5TI1MgFYQ1g3L0aPUgnAkuVqKPRyzyoyln1OXnUFG8orGREQK1M6JQX5DJ44A7/uvfg+6x0i/LsAqtt3Za0FUKu0GkrTJbkBVfjcIzCI1ZpzGpkwkMxC9T/f+xKTSD100CbqpK3gAjWSI/r+qOdmwS9uEg2l6Xzz0gQA4kaM5DbvYm56410ALPjQO2UmlG4kOSABNGLs8sMHyNixhy37ahh10z3t+fV0ogMxbNgw1q9fz8aNG3niiSf46quv+Pe//811R/ex2zO2xf0F0cn4ZI+M5IiuxW3pKqyN8Nhr6iciOIK0eMZe2ExnYw/2ytlbmhMYN/7TrtOiodHCL1V1Zy1s3wlb+Pn5MXfuXO6//35eeeUVRl02lA2r/wN9Lub8+jKH+zZqyspFl+Skj4YS8caSVomE9eRF2DLom+3ZIxda8uWMjsg8pK9h92UjE1Jt2swZcqON8GTX15DS13lS1dHoJDhthI+PD3PmzKGyspJ5byyCHhHg4c79d6ulehNffYWSOdPASizSinJZvOZrABZMnCQjKYfMUUTFjyGRphLqaUD0lJVUAsFAWoVKjEZ4qxEP4VouhMaX9vCR8wrrpnZL3l+klu4eyVhDZPJc8srVXjk3WVNPAPc//BCcqKawqEh6YMWFmVmXvpN11nkKclZcXyujLiIqBRDjppKpQ/UKMQEJJN37d/avXEDU0Glq48DSjbgGJMjKqqrSbEwg02YChcdP4NpjfOdN/3eIxMREPv/8c2JiYvjwww+5+eabVRGyZyy7f6tzWGUlHu5ag86OhpbsaN+LCilnSE5An2inttOn0fTvnYk0Haquxmw24+Vl1HGlE2cL/v7+PPfccxw7downnnuR1/72V9AYLAurB32ERHzWEgsRKdHqWByRA0EktORA9MUR6+W2mrSXPkIk7CaM4GVNoV38yGh1G2sZurZ3j348raGn/vgt9caJ8HTj8IhLz+o9XbFYLGft4M5CURTL73WeNTU1zJ8/n+f+9hL1/iaIDAFriqV6zdcodUVUukfLSqusYyVSwwJNfXKEpUF9VQG5vhcz9PmnmTx+rPSlAmgoTcc1IEFqYnzqcmw0LJmb1gGqjuf7rEoqay0898wdRCbPldVdMW4WOc7AN9V9RfM/gFF/vh1Qic6omJ4k+AVRXF9LWlGuTW+ftKJcso6V8MSgEdKy4lC9QrCbBx6lG22cw4X3VH1VgSxbF2XzFYWZAKxdvZm/f/0bO3bsoFu3jvP8AVVEa7FYfvd5r9/zdQ6wbds2HnjgARRF4d133+W1PmNkfxx7JMdRSkffWM9eoz176R5HTf3CU8Y0W1aT/bOhyFm/zIiEZXyyx6n0lKOITkjvbjRaLEz+cScz/voC999/v9EQ7ULntd5+VFZW8uKLL7Lkn2/y8IzpPHLfdBtiI4iMM4JkbS8bZ2BPZKwnR1qSY6S9MUpTueTv5dAbS+Q+9vyz9Noeo2X5W/Ltuq2Lue9uqCQj2o/09HR8fHwMt20rnL3OOwlOB6GwsJCoXhdyKi4CPNWbfc/x17Ng4iSS/XzYUF7JzOXLKCwqYvL4sdwZn0CMm0WSAgGfuhyyXUKZtXYV9yUmkeAXZOPnJBzDBSnK3bqEyOS5VOFJQ+ZSvlr4vLSCABg96hIih6fgH5WkmnpaIToTi+7GAN5BwdKUU0tmYtwsbCivlNYRojJMOJ6L+Yt5aXsBKVYjzorCTHzD4vCzdlfO2/CMjZP48+//xOW3PMXDDz/c3l9FM3Te9DsOjY2NzJkzh2PHjuG29FsAhyTHHilwxkRToKMIDjSVhYvoTksRGy3ZEek1EY1qiYxp+98IdInx4c7swxw9evS0aM06r/WOw+HDh4nv35/vd+2hh28Xw9SPUfQGbCuutms6H+thzyFcDy3BcURu7BEbAUFw9Pue2LVVEh6xXEvSoHl0xxHBuaS7H48cPMgDby1k8uTJhtu1B85e5+0WGSuKcpuiKL8oilKlKMp/FUXpaV0+SlGULEVRqhVF+VRRFB/rchdFUT5WFKVUUZSZ7T3+7wVhYWFcOXQY1DRVl2Tu3sXEV1/h+lVfAnDvmKsluQEkuREiXhM11FcVENt4hM/HjyPZz0d6RWW7hJLtEoqJGklu6qsKyNy0TjXL1JCKQX1CGT3qEkaPuoTeKTNxjZvC28X1PL9jE39e9SnP77BtaOUdFExc/wEMGzSQaF9/borsKYXEaUW5MmK0Ln0nq3ftlimqZD8fm/kLciPTUdgaCQpyo9QVsXHFp5QU5MtXXskJYmJiOvJX0uHovNbBxcWFUaNGkZWVxZuWX4AmfyptZZV4rycnWmIjiEJLPlACRoTBGbhdYBsiF+TG6L32M2AY2RHCZTH3XhOH2T0HPeHZe6CYmJiY37WQvvM6V9G9e3d6xPXk8KFDzUTHLUHb+dgRtBoXAUfVSYLcaLsYC8FzS+QGIGb6NPnSe3GJTshF2/baEDSRbtNWhTkTkeo6uM9Zv6e3i+AoitIDWAxMBwKBr4HliqL4A8uAWUA4oADPWXe7CjgARADJiqKY2jOH3xPi4uJsqqosuTmEmc2kvrmYa/7vBhav+ZpFby8lftL13PDOP8mrrrAhJlV4yoaADaXplGeq/XIEqRG2EB6lGynLTWP/ygV8sTmf3K1L5LYhwX6ygaAoERfHWJe+U3YvzqkosxESg5qWEn1tgt08ZBQHVKHxvWOulj10AEmsxNy05Easq3SPxj8qCd+wOEl46qsKbOZ5tLic41WNREefvuZv7UXntd6EuLg4MjMzmy0XJEfvZWWP5Oi1M9qXfl99NZMjBPSJxu2C3pLY1P+y39lTaxGih46I5IieP1po56j/WRvi3nmd/4EQHRNLTrZt5aCWULjk721R1CvKurVdgmdveZ3ZW163MbN0VCllBEFu7JEvZ8TGRjCqtDKqBhMw6usTMSyCgkOZZ/1ab28E53Jgg8ViWWuxWGqA+UB/YDyw02KxfGGxWMqAecBE6z4K0AVV4KwAv+84ZSvQo0cPmwgOwMFVn9u8t+TmwIlquUzr9p1eXkJaUS6V7tHS7FKpK6KhNB0TNWpPmtJs9q9cwFcLn2fJ8q1U1lpkqscUEMvgiTOIH9SPjB17pPWDUldEkjmKC0LNXBBqlpEYaPKjGpkwkFExPYlxs2BxN0uPK22jwqmRkUBT2kq4l/vU5cg0msXdTKV7tHQoF8tMAbE2ZC5uxEgSJ9xI0r1/p3vKbBq6nn/W2X4L6LzWrQgNDaWyspLKykoZxYHmZpxGZAdsq570TfcExHp7hKYlY8/6X/Y7RWycrbAygj4a1RJOWSx8W1XO4MGD23zMM4DO61yD+D69OHQoC7CfjjKCUTRFRD8u6e4nIyRJHz0nHcrldlayoCdFAloC4pK/l/Pry5qRHEcpMyOIbshG5EakqM57+UOOzl7S1P3YQcPCz1P34uLuSWhoqMPjnm60l+B8Adyn+TwIOAHEAz9plu8Fgq3Mfh3QCzgMrLNYLNUYQFGUaYqi/Kgoyo/tnOMZQ0BAABOTrgLgxH/eZdTd99rd9uCqz7nm/24gPmUUaUW5shpJRE0EeRAQkZGKwkwyduzh+6xKAK7q54tf916YAmzLduMH9SNv80qOZKyhLDeN2MYjvDx6PHFhTeNG+/ozdkB/6ZKuLQcX5ESrDwK1dD228Yjsd6PUFUlSI7odCwhCo43qKHVFsrKrfvjTHM78iT/f81fefffd33tVyWm51v+I17miKAQEBPDrr78artebb+7+ra7VaaX2oib7Z0Pyok1B6dfb20cLfYm7PkVl1ChQ4O3Dv1BbWcuMGTOcP5Ezj857ugYBAQHUa/4h1ZIcZ4jOoTeWSKNLaCI52+evlaTDWQGytjmfFoLciJ/25qXV3wic2LWVQ28sadYJWXRI1i5zVDKvjTyVNdbz17wcli1bhovL2W21164ycYvFUizeK4ryJ+BN4DFUxp+r2a5OUZQGwNdisVQBNzkx9hJgiXXsP8R/BCaTiepq9Y/B67rJPOVzkFR6trCXig3lKmFJ8AuSxECUUYvKo4ZS1bAyJNiPa4P92LHviGyeJyCqknqnzKSqNJu8zSspP3wA/6gk8qor1D44Y66WJpfJfj5URfZUNT2lP9MAuAYkSBGyID0mamRPHUG+BHE5VK+QV11is61cbxU2V5Vm4289j9B4VQB6+LdfWfD819x51/2MHTvWuS/5LOF0Xet/xOscwNvbW17rAlpic7S2wVB83FF2DNookB6iKkqvp7EHR/YRRhApKvFTLNN+1p/n5uOlrD1azJ68fFxdf7/dOTrv6bbQ3tN/dfNvZshpBG30xlFqp2jbXti2l0u6+zHBWpmkJTsitQXG5ObErq14jLN1EDeah+jPE6PTAzmK6uiFxuYhfan9cgkXAQzpywTruenJWQMWlp0s5rlXXmbEiBF2xz9TaJFeKYoyR1GUBoPXO9b13RRFWQksBKZaLJZFQDk0/SuvKEpXVDLluGvSHxz6m/5jH6gXhylhCAdmDTHcp+f461m9azc5FWWkHjrIJ3kHOVSvSPKgxf6VCygpyCcoPIK4ESMZPeoS/Lr3koRh/8oFcls3UzimgFh6p8yk/82vykZ/AnnVFbyTl8c7eXnS7VwPvUbHNSCBbJdQDtUrNumnvOoKUg8dJL28BI/SjXJ7rdEnQO7WJbKsXakrYu/Hy/6fvfOOr6JK+/j3JLkppJAQSAGSEHqXIgiitFURZLGsrq51xbL4KtW+K4qvvq6rKGthUdZe1i7KKoqFpmBBlF4TIAlJICQhpIeU8/4xd24mN3NLkpvk3sv5fj73k9yZM6fMPDPzu6c8D0FBFh566CHTc9PWKFt3H+ODvyU4c/rnagKymVhyJlbse2d0AeQo/Z53N7Ln3Y22/Xk7cm3/G/+a1d/YoxPZN5rH9u7nkUEDiYuLa5S2rVF27j72z3RHk3md8dOhIlu0bmgcA8reE7H90JS9uHE1gdmd+pmJG13UGHttjGUZvTbr9THG1wJICyqhU4CFefPmuaxDW+Dyp4SU8jHgMbN9Qohw4HtgE9DfquQB9qKN2eoMAA5Yx3T9lvDwcEpLSyn//FVeOqZ12X32nw+4asnTfN3rRrL/2ZfJa0oazcvZn9LTNnSkx7HqFZ2IBatfnE3LKTq0xyZuoN4poP7XEtGd6NQBRHXrS1S3vpSE9CQiJFGbuFxdaVv5pHsf1v3YALZ5NpaI7tpx1vk3oM0LmhQdSU3BZipjx5NZph0THx1qW7KuBxrt0yWOScnaCjFRlav1PBmWiUN9703GpuWsW72BO+Y/QmBgoIevRPNQtu4+uq2bocer0rF3Bmicu+LuCip3MXowNsMocvRVU/bCx34IKqx3f2Kt9TUTUI5Ejs7BsjL6Dh/OrT/91NTmtArKzt3HkZ3rE4ydoYduYPEXQL1QMQoIo3BxFfzSzNdNoSWm0dCRXi+j7x5jb47ufdm4NNw+/9wfdjrs8bE/zuht+XBdBa99+4XXrBJsaV/pNUCulHKm3fZPgCeFEOeijdU+BvynhWV5PSdPniQyMpJ7d2bz/EuvcMOjN7L6sKB08w/M2fwDc9B6c+zRnewB7M/OZUqvfg38x+jEdU8iOnUARYf22PzK6JG7q0uP2BzqaU73KsESxrHqSv69fTP7s3Ntzvt61+XQKzkZrJOG06u13pkStPT6cavT97E/O5fkqTNIgQa9MXpsqnW5GRzOybVNVtaXvkei9e6IqlwiYnvb6qsPtxUd2sPBnEpf8lysbN2AbusAL8jDzBI9gMbiRmfbySoScO67xhPYCxtHvTb2Qsf43b535sinqxqIMaPI0VdTgWPfPmLW7Qzc5HySpxeh7NyA0c6BBoLCbNKxfe+JJho0gWPsxdG/Q73TPTMHe65wJG6Mq6s6Gepk1rujLzk3ztHRl4wbe3rMHAMah6gkkuKOYV71TG+pwBkKTLCOxRrpBdwAvIG21PAD4O8tLMvrSUtLo0dKNx4YeS6P9pDs/vQpHr34Th5YtZ74aRMAKN38Q8ODOoQTMWioTYDoPTna8mpsk4e7Dp1GzvZVALaemojY3rb5MBasK5isIiWzrBjCtaGo/dm5HM7RPn26xDEpOpnMtQ/Tdeg0vgu0vhDCo4i31E8qjreEMqVXP5vX5crY8Q0ETrwl1DZP54JRI2zbM8uK6RUtbeKmJKQnkdAgvMSB9CMsej+TujrZ7ssIm4CydStSStLS0hqsetNFjpm40bcZJ9w2xf9NU5wCOpskHNa7fyOfOPb7jXnoPTf2OJprY/z/6O58Yvt3YmXOUd5+8EGefPJJl3X3EpSdG0hLSyMhKcVpGvuJx8bv665d2CCtMSwCuN+Dk/vDTox3S4dhZzvsQXK2dFyvl55HIoZAnIa8zXqo7MM62LZXVGMJqeNL8unevTddujRcFdaetHSS8R2AoyUBGcB/W5K/r5GWlkbHlFSOVVcSW5BGdOoAHjgsuCWqktmPPMrzL72iLRM3Ul5GN0O8kz5d4mzxn2RIIkGG1VRdh2ILgQDYhoB0SvUeGLB5QF5XXG0TTbPHT2RSdKTNZ05l7HgoyuNg8QmSw6NsE4mDYrVhJn0oS4+EPio6juRwYfN5Y1x1pUcW14/rZZGkBXRlXeY+2xBYvCWU4zmnOP/ya7jn3vv5eM4cLBbXXjy9AWXr9eTl5RESEkJMTMOHaEJoENtOVrGoIo0VCYPapi52oR6Mk36hfrip+8XTnPrFMRuqsu/VsR+Gsu+5MUZOTxjYmYd37+XUwEGseuophg8f3rwGtjHKzhuyf+c2ho2b1GCb3otj6yEx9KIYxU36suUN4lCZTRT+efEXDrdDQ9Fj9DTsLOaUmbjR6xyQtdN2rDFQqJH0Zcvpdduttv16z45ez6yNWYy+a6qtjkEhdbxclc3f//k0s2bN8prhKVDBNj1Keno6cb87hytefpF9Kz8m+5838Ny8B+CRR3m0h+S++ecSEXsjDxwWPLfwAUAbssrOzSU7N5e+3S7iyuR+Vod52sN0TUWETTBoTvsaihzAFoIhsuqgbWio1LZdi4Glh30QVQdt8aEyrGKoZ1SM1YngBnK2ryKqW5o29BXQtUHIhggqiKzLhar6kBHJ1mjpeoR0PX0pYWSUHuOX7ds5tHotIdZVYts2/8QNf57Jfffd13oXQtGqpKen07t342jiiyrq7fLSo7tMRY59sEpoXhRvs14do+CwD7FgxKwXp/rwbqfDW8ahKL0sPVxD3o5cKmtr2XGqjLTqCmqlJOJwOT9WVnH444+JjnYdgVnhnRw8nMEl16Y22m4UEWbzYKB+CMrMj40uVsx6bYxDQXqviRn68JFR6OT3bLhySa+XcVgtNGkwdYY06cuWNxJY9sNV5Vs38dzt7zD6+0zqhnTipdIETvSL4Mf9BzlYV8F9Dz/E3LlzTevZniiB40HS0tL4b36W5vIK6DbvdfrNuIz92bm83uUMzs9eRXH2fr7al4hI6ckFU6cCsPqFpQA8t2s7t7wzShMRVup7SSq04SjraqeYlIlWIRNmGyqaFF3f26Nv6xkVY5tYfKy6koiQRNtE33hLKPHRoTZBVQ0N5vXEW0IhvH7YSljDQwBEhCSCpd7nTXx0qK2um77+nCdWrGL9+vWcOnWKCRMm2IYzRowcze23O/YPpPB+0tLSTAWOPY5Ejj2tEWFcxyhuHDn+czSsZTah2Distm9LBj9MOo81a9awbds2hg4dypgxYwgN1e6Xfw8frsSNj3PgcCY9erp2QFpoiWkw18Ueo0jRl2wbYz0Ze2ccHafjKGZUh2Fn24SMUYDpQ01mgsgsb13Q6KT960W+OZzLjhkjWbphA4GbjjHBEkfKgLMZ1X8sY4OCvNa3kxI4HqK2tpZDhw7B8D7oCqffjMvYMGsuoQUbyNn+Kl/3upG5f38cmaHNw9En50aMGktZnjbRON4SClWGCbp2zvL0XhwdvRcls6yYUsJskb314SW9R2VdbgYTE1O0NBHdOZGxjgjqfezIEG3VVlDseNKsPTtY/+pxpvSVWdBwOKyXRSIrsvn+67d5/rVv2XOolHvuuYeFCxfSp08fr+qyVLQc+/k3zrj06C4WhWliyFHEcXdxFODSEUZx4kzEmKXXvxvn2oxds54fJk8gsFcMn+Tk8tqJk1x+RiH/+7//y5gxYwgPD29KcxReTmlpKcUnixjYORR3XPHZDwMZ/dg4wl7Y1PuraeyUD2iw1Nw4L8detDjz12McooL6HprcH3bS8ck3WbI1l9Hjz2TI2n/y9v99xFv5uZSldGfBny7gscceIzU11Wee6UrgeIjMzEw6d+7MEeuS52dfWK4t937oPt6dv4BerOL89FcJj4unNOMgIqUn2bm5tiXjsx95FKhfqVRKGBFWkaNj7/hPVOUSbx0qMkYd1xzvFdt6bmx1tE481kVKzvZVpJx9q60niJCebLbOydHn0/TpEqeJJOuz+xgNo5/nbN/Fw88vZe3atcTFxXHllVfy/sp7CQtrGGhT4T/s27ePiy++2O30LRU29riadGzcbj93xn7OjiPsj6mqreXhhx9mReFJDm3ZyoQJE1j10EOMHDmy2e1QeDf79++nd89UikLMppo757nb39G8+zoROfrKKb2XxhjZWxc8zlYu2USOXegGHX2Yyb5XKPT3t1JnTWvsRcramEXix//gzNpInn76ezZs2ED37t25dtb9zJ8/n+Dg4Cafh/amff0oe4DCwkKmTp1KTEwM11xzDdXVmv+ZU6dOcfPNN7dZPfbu3Uv//vVj+HNm3cqk6EjGjRzBqOg4orr1ZcOH79tWUcmMg4wbaV191CGcKb368fjIM6kp2GztXdxoN0kAACAASURBVKlo5OzPEtHdtgxcXz0VQQW9LNImbkDrBdLnxtiHWtCJiO1tEzdG9Pk0OrrQsSekZB9vPfo3rr/yKs477zy2b9/Onj17WLRokRI3rYQ32Xq/fu556LYfonIVKNOIMwFjts9RwM7YQT1tTvrcWbllDKSZtyOX3cXF/PmXX9m1axfLli0jPz+flStXKnHTSniVnbsxFKuj996kL1vuMGimHqm7fOsmW29M1sYsU+d6zjA6DzQeaxYF3D7sgr7aSw/R8Nzt7/DhWzv4/mAhU295lmseXMIll1zC3r172bFjB/fee69PihvwA4GzZMkSzjrrLI4ePUpoaChvvvkmAC+++CK33HJLm9Vj3759jR764dMuBOD6le8T3fdP/OVQw/HU1W+8Rr8Zl/Hs00s4t3YvRfvfYfenT2nhFfa/w4mMdbZeG13U6MEzdWoKNlNTsLlBvrro6WWRtmjfxp6ctUUlvF4Wz0vHqllbVMLaohIe3fId72XuI96izaXp06X+A1rvj+4sMOPwYUaNmsTuA0fZunUrs2bNolu3bh46kwpHeIOt19XVceDAAbcFjj32MakcBduE5vvMcZSnvQM/s/3GNFJKXj2cwT07dvHEq6/x/vvvM3bsWJ9Z+eereIOdg/ZMT+rbdJ8uxmXUxtVTvW671TbB2L5nxiwMg1nvTdK4JC6/dghnpUYz+q6pjF+/opGXY2OvjF4foxhKX7acddcubBBqIa/uFEurski+Yio7duzgxhtvJD4+vslt9zZ8fohKysYhTcrKyti1axezZ882OaJ12Lt3Lym9e8O2jbZt2z9dzb+3a+Lj5czMxgeVl7Fv5cf8NTeXP1yjeSROPqe+61+f7Av1wS8jrd6GwTrUVHrE5qRPH94yxrXSV1YR0tM2zAT1QT31cAz7s3N5deXnLE1M5PZpF3Jlcj/bcJWepmdUDLuzs1h4+dX8ZcHDLFiwwGfGYv0Bb7D1zMxMOnXqREREhOvENPZi7G4Pjv0SbH2bUSAZ87IXLLpQ2fPuxkbLuBMGdnboRdnYM/T+kWy+zTvOroxMEhIS3Kq3ouV4g52D9kwff94Ut9PrQz5J45K4nPqhJH0yMNT7nrEXL0bPwY7EjRF9WEsfkjKuhNJjXJnFwdK3GZevF9ZU89yhTB7/9zJuuukmt9vrC/h8D86CBQv48ccfSUhIoLKykuuuu47nn3++zWd1/7prB5171juE6jfjMgAeGHkuX23+lTmz6oOi6fNt7ImI7W1z7Gd04gf1c3P05dnHqitJrxaaLxsrpYSRXi1Ynb7PFtdqTUWETRDpw1X2/muWrvqSjVt+BaBH18QGQ1RQvxJrf0EeD94yi4umTePOO+9U4qaN8QZbtx+KdYVx6fjQK4c0iLwNDXtNjL0uxnk2+sdZRHJnk4/tj9WHsOyXfRu/f59fwJsHM1mza7cSN22MN9g5wN5dO+ndt69bafflV7Ax6kzKL7sX0OJLXX6tFgjZOCylT/C177HJ2pjFumsXkr5suUNxYy9Y9Hz1+TM/L/6Cnxd/YeutSRqXxMS3Hmm0EsvYC1RZV8uDmQf4nwf+5nfiBvygB6dTp058+eWXtu9FRUVkZ2cTExPDpEmTyMzM5Mknn+Syyy5r1XpkZ2bRLSWFY6vWs7kozxafaXNRXoPYUwDPLXyAZ19Yzl9ffhWAcSNHEN3397Zo3bbVTVW5jebIHDPElUoOj+K9TM3PzcTEFFvQS3vsI4PrHCw+wf7s+od6t8RELhp2hs3njebYTxvaWpebwd8X/i8jomNZvHhxM8+SoiV4g60fPnyY1NTGfkEcYZyDYwxW2RTMhI2zniBHEb3dyRegqraOR/bs45sfNpKS4tyLrcLzeIOdAxzOyibZzevfr3MY+/Ir6FR9gpOY99DouDPwqgsU+8nGZuEc9KEm+8nMWRuzSBy7qcFQ1Fmp0Q0mNr+bf5QzZkxn4cKGHpf9BZ8XOPYsWbKEefPmcffdd3PLLbdw3nnnMWHCBCZPntxqPimklBTmHWdAtyQ2F+Ux/eorgHrneo3oEM7ExBRunHERX23+1TzPkEQtrhOanxrjsmyg0QRi45JwgCm9+tnEiS6IAHrX5SBJZFR0XP3w1LatWjwsq0fldbkZ3L11G4DNC/JzCx+APYf48/MveE1wzNOd9rD1o0ePkpjYvLkx0HDIyB4zYWIvQsyGpRyFS3CE0eOw2ZBXelkZsQQyevRol3kpWp/2sPOKigoqKyuIjnYc8sCeccW/QLE2JPXc7e/Y5t/Y42z4yWxYSV86njh2k8178E+HijTR8taORumN/Lz4iwbxovT/dUGUZqnm4Zkz/bY33ueHqIwcO3aM8vJyevbsydatW7n00kuJi4tj6NChHDhwoNXKLS4uJshiIT684enUBcT2T1fz7Av1fg2efXqJTXT06Kr1mugThfVJxfqcG6DBpGJ9EnAvi+S9zH2NhpOm9OrHLUNH2dL0skgmRUcyKTqSCCooCelpy/vK5H5cNOwMwuMaTiazXzn16srPtX8qT9G9e/emnRxFq9Betn706NFmDdkkDOxM3JBEBlw1zmXa5kwuPro7n+3v7XDYK5MwsHODj3GbPXvTjhNcp0S8N9Bedn7s2DG6xMW7/eLvVH2CuqTBNt8ys5f+idF3TbUFstR7YvS/ei+Ks/hT9sNYOkbBYrbd3UCdPx0qIiO/2K+f6X4lcJ5++mnmz58PwODBg3nnnXc4cuQIv/zyi9uOyZrDsWPHSOiiCY1J0ZGUrfqSY6vW2/ZnlhWzdNWX9JtxGcdWrWdiYoptKGn2+IncZI3qXVqQZguoCdhiPlWXHiGy6qBtVVRowYZGdfh86zbufPcd29BYZNVB1haVkF6t3aD2S85Bm9dzZXI/Nj2wiM9eeo2nrvqTbZ8e+FMPtgkw8bKLWb9+faN8FG1Pu9q6mwJHd/CnY4zS7QizycX2GJeB6+mNQuXo7nyn83XssRc64wd1I1tWUltb63YeitahPe08zs1VRGZhGlyhix9oLEiSxiUx+q6pjZaL5/6wk6RxSZyVGq0NNVVUN1qO7kzc6McZh7KGdIj062e63wxRZWRkYLFY6Nq1KwCPP/44V1xxBffeey9PPfUUnTp1arWyjx49SnyCVm56tbANF/WMiiG0YAPTr6sf39xsEBE6oiqXnO2rKDq0B9Aihxs9GOu+b/TvoPXw6AEu+3SJ43COFs+qR9eGLwYtunck1aVHsACRaL1EOdtXUWONSN47oju9ohNtPTsTE1PoZalfyZA9ZxowjXsWPkVAwFCPnDNF82lvW3dH4PwweQJTxrbMdUDckESbUHE058ZeCOmxrux7ivSwC8aYUo7yDhQCCQQE+NXvP5+jve08Ls79ZdJ6FPFDf50DNO590YelXK2OGn3XVIf7jL1A+lDV/FtG0Ou2+gUs+iTmXrdpK6scxcM6KzWanw4VESiEX9u5MFuS520IIaQ313PO7FkE1JUzsGQVVfd+wedbt3HRsDNsPTO6PxzQVlf16JrI4Zxc23Lsmv2v2FZPGb0LgyZobJ6G0Xpm9FVRj27R3HHrvmp6RsUwKTqSmoLN1qCZ2gqA4uz9gBZnqjh7P0WH9pB3RDP8uO71in/7lh0MHTmEvCNZ9D33AlLO1m6cExnriEmZyOTL57LwnnuZNm1aK5zF1kMIgZTS6weZvd3Os7KyOOOMM0hPT28USdzIioRBpoLE1bJsMxyJEFd5DbhqXKPgmaCFbHDk2Vhn9W+H+aAsn12nypzWzRtRtu4Z/nTt9aSkpjLvrnscptmXX0G/zmG2sAjlWzeZRgE3w8xTsR6l24ixB8foxE+PQg40EDhQH9Ec4NBf59DrtlsbLCPX6wgwLy+Nf69cxdixY53W19tw1879pgenvcjPz+f1t95jy49reezP7/Fo5UYmTr2aXhZJerVo0BOio/e2HDieR0RycqM4JxmbltvEhT0yJJHNRXmsTt/HlF79bL5uTmSsI/ObT9kORKcOAOqFjU5x9n6b6NEFzvYtO0iIj+bosSKy88tJsIob0ISNLrxKa6LYuXUbI0aMaO6pUvg4ixcvZubMmQ7FzYqEQTa/N46GiJrrvM8eZ0NZeu9NRdpeU5FjDN+gLxc31ndXdTm9HHgAV/g/GRkZrF71OZt+0xZadKo+0SB4pb5tXPFOyjdsAoOPm9F3aWEajCugoHFYBlc9OTpGUWPMS88ncexgW6+NGXoddBFkzK+4pobDJ0sZMmSIW3XxRZTAaSHPPPMMMy65mG6x8MHYm3htyXfccXMfHh95JpllxawrPkG/GZeRnas9kD+46S+ANnSkrXLSBJA+90bvZdn29nyiUwfQdeg029CSvrJKn7x8sPgEk6IjAc1vTnTqANvxQKOeIJ2I2N4UHdrDF6t/olvnDgAkxEcz/vI/2uqgU1qQRsek8dxz/3wu+N3vlE+Q05S8vDzefPNNdu2qjxB+6dFdjdLpTv30ScXgXswoaHowTWd5uWL7ezsYemXjB3tGTSVflZ/g5z2N26Y4PXjyySe5+vobiI6OMZ1fYwyoCTgUGPZxooAGIsd+OzTsmdG9HuvYT1QG88jgxnhUekDO0N9rAifXGp+qVkr+nXeEq66/wW2nnb6IEjgtZM2aNVw0exb37sy2xZnan51LUeQ7DAee2xvB7dMutK12ireEEll1kJTaI1jqulNdcITi7P1s+PB9ps99gIjY3sSkTCTlbM2pXxAVYJh3k1mWx5XJ/YhITublzEyr1+IIDpbFc9Okhyja/w4AyZMe4qXMTCDTOnSVaBvusqB5TL7z4ju1fAs0Z2y23pqCeudsQbGjuOK6+ZSU1/HBBx+0/glVeCU//fQTo0aN4sWe53JGxxDTISi998ZsOMnoOdg+AKaexgxXno/NhI0+38aeirS97Hl3oy1f+7k4myqLec1SydI3Xmt2KAqF77NmzRqeeeElm7ix770ptMTQKWkwHaCByNHFiL2vGR3778Y0xn369lwTb8SOVlbpddAFjz7/5qdDRZy1MQsWf2Gb2HyisopZH31H/DljeeKJJ9w9LT6JEjgtJC4uju/37eGLVzdAh3Bm338/twwdxePbN/NoD8nHM0YBcN+WX+jTJY7JYaWcyFjXYPho/3dfMX3uAwT1nUlGdSXrcjNYuupLbp92oTbh19pzQ3WlzbfN2qKSBsu5DxzPIz0xhd4pE4lJmUiJdRIyaHNz9OjkoPUExaRMtPXuBMWO59Et3/HVml+ty9bH2eYG3fvXR+jYqSuf/Pd1nw24pmg5cXFxFBYW2r6PXVO/8sI+oCY0Fiz23ovthYk7c3GaEqhTFzkVaXsblGkf+gE0sfPL9mxeDarg66++Zvjw4W6Xo/A/4uLiYM8GAiKHkd/z3Ab7Oh/8jvKtmzhk1ztj7GmxnxujiyD7HhlHgidpXJLDnh778hJpGH/KOA9Ix94J4MPfb2PMdVezdOlSv/dppgROC0lMTGRXYSGUaxMSX135OV9t/pX927bywLJXG6Q9cDwP4rsREdvbJnCKDu3hzKvu4Le46dz5wjNk5+YybuQI9m/byufWFVHrrMfuz87lomFnNPJ9A9pE4951OZSE9LROPs62bTdDFzelhPFe5j5bnfWhtJ5RMQQdrOKr9TvYtWuXEjenOYmJieTm5jJlrPOludtOVtHcQUyzISpXq6ic4aqXSC+vTko+GNiVh66Yq8SNgsTERDK2/ASjh5nu14eeOhhiR9mLHfuJv3r6REMaM5z5xzGGYDBiH1wTsImky68dQupjz1L5Xy1y+Btp2RxI6sDHS5b4vbgBH1pF1d51UPg0GVLKHu1dCVcoO1d4AGXritMBt+zcJwSOpxBC/CKlPLO96+EJ/Kkt4H/taU/87Vz6U3v8qS3egD+dT39qC3hHe/zXw49CoVAoFIrTFiVwFAqFQqFQ+B2nm8BZ7jqJz+BPbQH/a0974m/n0p/a409t8Qb86Xz6U1vAC9pzWs3BUSgUCoVCcXpwuvXgKBQKhUKhOA1QAkehUCgUCoXfoQSOQqFQKBQKv8PnBY4Q4gYhxGEhRKkQYr0Qop91+91CiCPW7euEEP0Nx0wRQhwQQpQJId4XQkRatwcIIf4jhCgQQtzZDm25QwiRK4QoFkJ8JoRIdFZfb26Li/aYXjNvb0974k92bq2D39i6snPP4k+27k927qI93mnrUkqf/QB9gFJgKhAG3A/8BpwF5AKpQAjwD2CN9ZgYoBC4xPr/B8A/rfumAAuBDsBnQEQbtmUwUGCtewTwDvCmi/p6ZVtctMf0mnl7e5SdK1tXdq5s/XS1c1+1dV/vwZkMrJVSfiGlrAAWA2cA0vrRY20Fop1kgBnAr1LKT6SUJ4DHgaus+4Q1bZD1/7ZcYjYe+ExK+ZOUshR4Gxjkor7e2hZw3B7TayaE6IR3t6c98Sc7B/+ydWXnnsWfbN2f7Bx80dbbUgG2gqKMB3oYvo9BU5JBwAvU3xTlQF9rmqeAJw3HhFjTRKAN2b2HplLntnFbLECw9f9YNHX8vIv6emVbXLTH2TXz2va058ef7NyFbficrSs7V7beDNvwOTt30R6vtXWfjiYupTym/y+E+APaDXAfMAG4FBgBHACeQFObo4AoIMOQR5UQogaIkpoqvbLNGmBASlkNIIS4Bc1BUiVwPnADDuqLl7bFWhfT9ji6ZlLKGiGE17anPfEnO7fWxW9sXdm5Z/EnW/cnO7fWxeds3deHqBBCdBZCfAo8A9wkpXwebbzvTSnlb9aTeB9wprXLrAhtnFA/PhhNaZ5o+9o3Rkr5b7QxyXuBT9CUsKP6enVboHF7hBAWB9cMfKA97YW/2Tn4l60rO/cc/mbr/mTn4Fu27tMCRwgRDnyP1sXVX0q50rqr3C5pDVALVAB70SZL6QwADkht7LDdEEL8TQhxLYC1LsuATsARHNfXK9sCTtsTh/k1Ay9uT3viT3YO/mXrys49iz/Zuj/ZOfiorbf2uF1rfoBb0SY32W8/FziK1p0Zhtad+ZmsHzsstKaJAT4HFnlJW3YCPYFQtJno25zV11vb4qI9ptfM29vjBeey0TnzRTt3YRs+Z+vKzlvlfDY6b75o6/5k5y7a47W23u4nrYUn/HmgDk3NGz8pwI1AGnASWAnEG477PXAIravwVSDEC9oSBCyx3sQngS+A3q7q641tcdYeZ9fMm9vTzufSb+zcmW24qrM3tkfZucfPp9/Yuj/ZubP2eLOtq2CbCoVCoVAo/A6fnoOjUCgUCoVCYYYSOAqFQqFQKPwOJXAUCoVCoVD4HUrgKBQKhUKh8Dt81pOxECIB+DNKpCk0KoEXpZRl7V0RTyKEEMAVaKsVFAqA9VLKje1dCU8jhEgBrkaLS6RQlADLpZRVzc3AJ1dRndfPIn/JrGFw10CCAxvfC50jHGueTpHBptujo8MdHtMxtrPDfeFx3Uy3h3Xq6vCY0MgE0+1BobEOj5GWGNPtlZi3B6Coptrhvvwqe79ZGscqHOuD3JMnTbfnFDp2Snn8hPm+QgfbASodlANAcZGD7SWQXwQl5SlSykzHGfgOQojgAURUBQdA30DH9tmjg8VlXtHdI53u75hibl86kUnxTvcHJ5jfBzqBcUlO9wPURTi+zwDKRKjT/UVVNU735xa7fk5mFTn3P3bwuHP9XFBgfl/pFOeXON1feuyw0/0AVRk/ImJSqc36wW+EwMUiQW6kkAmWGEKEe79Z+8Q5vifsie3v+NlqT0zfZLfShaT2cztPGetengAlTu51e3JKTrmdNq3A/d9+O484eQbbcSzHuU0bKco66HbayuPpyOJsZNmxBGkIB9EUfK4HZ0yPILn/eB1jU4NI7Gh+IyTFBDo8vlvnENPtCfERDo+J697F4b7o1F6m26O69XV4TESs+Y9xS0R3h8fIkETT7aX1XrAbcay60uG+zLJi0+0Hix0Lj/Djeabb67JzHR5TmWO+rzjX8TEiz7Ety+MOTDYyDKLCIS0rQwztg9x+wKcf/kKILl0JyYvGwvmWGLSOHHPOCDW3aSMJcc7FQ1xvc/vSiR3U0+n+sN79ne639BjodD9ATSfnL4GTAY7vUYCjZY4FPcD+fNcP+Mijzh/WlRnOPczXZTl/MdRkFTjdX1Xn+lrWBHWkNmsTgZ37y7qCfcHSGiPIV5kgYuV+yphKHP2DHD/P7DkrKtrttEmpzgW4kcQzB7iVrsOws93Osy5psOtEVgod/Jg1Y1+++w6Bw444+HFoQv4e82e9GRXh+W6nLT/l2r51qgMiqOvQhdqczUct/WZQvW9lk5/pPjO8I4QIGJAQKLNO1DG+VyARIT79/lK0BpHhMLAnHM5F9En2va5JK1eIrjIWS94wOjKUKKfiRnH6IQICCUw+B0KiEBGJp4QQztWrlyKECBoiomQOVVxEHOG+93tb0coERHYlqMckarN+IKjHpCY/031C4AghIrt2FLUAY1MDsZgMSykUAIQEw+BecLIE0a2LFEL41FNzioiT6yjgPLqQ5KR3TnF6I4QgMG4wAXGDIazTcUv/S3xK0AshOnUntDqcQCYTS5BvvIoU7YAIiSKw9xTqTqQTmDBMCuHmGCY+IHCEEKkxHURx9+gABicGql+zCtcEBkDfFLBYIDqy2hpx2KsRQojRIlruoYTpxBON63k1CkVAVHeCUiZSk/k9Qam/8wmRI4QY2JnggsFEMoyOCDWnWOECERhMYOpkkHWIjsm1Qgjn49VWvF7gANdHhEBStLoJFE1ACOjaBWprAc5v7+q4QacdlDCWToT4xG2p8BZEaEcC4wZTe2xre1fFXW6NI5hk1UOpaAJCBBAQPxRZVQIwzp1jfOFJ+kh4sOCHQ7VU1/rEDxSFN1B1CnamQ3wsUsr32rs6rpBSFkwnnm85ThbuTxxUnN5IKanN20ldwX6oKIxr7/q4yd0BCNZQQA117V0XhY8gq4qpTVtNYPxQpJSr3TnG6wWOlLJuz9FakRQTwIb0WkqrlMhRuKCkDHYfhB6JyAOZPtP194HMEQVUx23lJNspRqJsXeEYWVdLbdb3UFWMLM0NkVIeb+86uYOUsnqHLBZdCeFz8ijD+fJ+haKuJIeaQ2sJTBpLzeF1bj/TvV7g6Px4uEYM7x7AD4dqyCtRql/hgLxCOJgNZZU9fHGpuJTyeA5VISeoZj0F1CqRozBBVpdTm74aEdaZuoJ9AVJK9x2ieAnrZYEYRTRfkEcezfblpvBzavP3UHd0K1QWJjZ1qbjPCByAb/fViJOVdN11tI70/Nr2ro7Cm5ASDuVAwUkoKY+UUma0d5Wai5Ty1F5KAzoTzOcco1SqX7iKemR5PjXpXxOQMIzaIz8I6YveWq2slEdFAdWpGylkP6XtXR2FF6H1UG5CluUjy46FSimPNjUPn/RkLIQITY4RFadqIcRkEXCYxbHICzM7AAgNcbxqJSTM8WQ4S7i5h1hLqGPPsYEh5p4qAwKdTLpzsK/GiUatrHPc01VRa+4brKzasc+w0irzX1kllY4dCpZXmO+rqHQ8z6TWQTkAONpXXgExkZB1LFBK6TddfNNFvNwsiogVju2zo8X175TQKOcOtkKinHsJDo5y7l01MMK5p2TRwfl+ABncwen+ahd+UiprnV/20irXP4qKq5z7zCsqd76/wsX+qgrnHS3VZa48yEpqy04gK/J7SynTXST2GYQQET0IKwkKgGA3f3d3Cnd/pWFYrHPbMhIaG+VWuqCO7ntHlmHu5QlwKsD9dpWecv+HfmGF+/4gj7vh9VunrNT9zsMqJ45k7akuOU5ATE/qcjYHNFfE+6TAAVuMniSa3gv1J+Adz9eoXctS5UCVlNKxe2QfRgjREfgf2s5uHdGW9443lu8tdZgmpfxXO9fB41j9m9wDvNsK2bfWdVP5tl6+FcDFUsrlzc3AZwVOcxFC/CKlPNOfylLl+D/ecE7auw7tXb6qQ+vTWm1T+Z6e+frUHByFQqFQKBQKd1ACR6FQKBQKhd9xOgqcZo/neXFZqhz/xxvOSXvXob3LB1WH1qa12qbyPQ3zPe3m4CgUCoVCofB/TsceHIVCoVAoFH7OaSNwhBA3CCEOCyFKhRDrhRD9rNuFEOJpIcRJIUSOEGKWh8r7TggxxvDd4+UIIaYIIQ4IIcqEEO8LIVw7G2l6GbZ2tFIbGl2X1romvooQYpAQokoIkWDYdo8QIt/6ebgVy27T+8ZBHVrdzh2U6zW2aW8DbXX92xqT52YvIcQpIUSl4TOphXl69BpabcNYv1dakFer2Lon62jNr1XeC3b5tvjaI6X0+w/QBygFpgJhwP3Ab9Z9NwHbgW7AECAfGN6CsqYALwASGGPY7ulyYoBC4BLr/x8A//TgOWvUjlZog+l18XQ5vvwBAoFN1uuQYN32O+AIMABIAdKAS1qh7Da7b5zUoVXt3Bds094G2ur6t+XHyXPzAuBtD+fp6edYFhDigXPQarbuwTq2ynvBQb7Nvvb653TpwZkMrJVSfiGlrAAWA2cIIToB1wJPSCmzpZQ70JwVXdmCss4BgqCR33FPlzMD+FVK+YmU8gTwOHBVC/Kzx6wdnm6D6XVphXJ8mQXAj3bbrgVekFLukVpIimV49trrtOV944jWtnNHeJNt2ttAW13/tsTRczMVTcB5Mk+PXUMhRChQI6X0RDCtVrF1D9extd4LZvm25NoDp88Q1SfAbMP3kUA5UAwMRftlprML6N3cgqSUC6WUNwMFdrs8Wo5JfjuBeCFERAvytOGgHZ5ug6Pr4ulyfBIhRF/gRmCh3a62Oj9tdt84oVXt3AleYZsObMDv7g8nz81UYKoQ4ogQIlMIcZ8H8vTk+esBBAshfhVCFAohVhiHkptIa9m6x+rYWu8FB/k2+9rrnBYCR0p5TEp5GEAI8Qfgv8B9UsoaIAowBoApsW7zNJ4up0F+VnWut6e18GgbHF0XT5fjiwjNbf3LwFwpZZndr0f4NAAAIABJREFU7jY5P95437SRnXuFbTqxgdPp/pDAt8Bg4CJglhDimhbm6cnzFwPsRuvF6GHN901P1MuDtu7JOprRWvbY4mvvVwJHCPFXIUSNyedlIURnIcSnwDPATVLK562HFaGNset0AJxGBHNWjpPDmlyOCxrkJ4QIRuvia0meTSqTlrcBB9fF4+V4K45sCagG0qWUX5sc5tHz01b3TTNpDzvXy2pv27wdcxvwyfujOc9NKeX91k+RdfjjeWB6S/LEg8984GYp5flSyt1SymLgLmCyEMJJ5GT36uUpW5dS/uDBOprRKvbo6tq7g18JHCnlY1LKIPsPMAf4Hq37q7+UcqXhsL1oClFnILCtOeVIKW9ycliTy3GBfX4DgAPW+QKthUfbIIQIx/y6ePpceS1ObPYT4E/66gFr8sNCiN/j4fPTVvdNM2kPO/cW25yIiQ2gdf/73P3RnOemVVh0NmyyALberLZ6Fju5Rz4SQpxnV78awP0Q247r5RFbF0JM82AdzWiVe8LVtXcL6eHZ8N74AW5FmzBotm8WsBHoBJwF5AF9PFDmYRrO3PdoOUAs2oz7c9G6ID8HFrXCubO1oxXaYHpdWuua+PKHhquoLgQOoK1a6AccAia2Qpltft+YlNMmdu5u29vTNqlfRdUm1789PibPzW/QJlFHoa3QyQLOb2GeHruGaMM+aUB/ax3foPmrvlrF1j1ZR7Nz6uHzacy35de+vQy5LT9oXVt1aKrV+ElBW4K5FG3cMAu42kNl2t9UHi8H+L314VYKvIoHlgG6MDiPtsHFdfH4NfHlDwaBY/2+0PowzAMWtFKZbX7fOKhHq9t5E9veLrZJQ5Hb6te/PT4mz81kYLX12h8AbvNAnp5+jj1ivQ7HgbeBmBbk1Sq27sk62p9TT55Pu3xbfO1VqAaFQqFQKBR+h1/NwVEoFAqFQqEAJXAUCoVCoVD4IUrgKBQKhUKh8DuUwFEoFAqFQuF3KIGjUCgUCoXC71ACR6FQKBQKhd+hBI5CoVAoFAq/QwkchUKhUCgUfocSOAqFQqFQKPwOJXAUCoVCoVD4HUrgKBQKhUKh8DuUwFEoFAqFQuF3KIGjUCgUCoXC71ACR6FQKBQKhd/hcwJHCDFXCHGl3bYeQohK6/+3CCGu9XCZNwghDgshSoUQ64UQ/TyZv7WMCUKInW6mlUKIBE/XobXwtfp6A2Z2brffo3YuhJgohNjrqfyaUK7t3m2FvNu8Ta7KVPdCY3RbF0J8JISoEEL0ao3neBPr1C73Q0tR9tUQnxI4Qogo4HrgQyfJ3gDmCSHC3MjvcSFEnRCiv5M0fYClwG1AF+BL4N0mVdwNpJTrpZSDTcoP9HRZnsbTdfSFNrcm7WHnvoQ32Yc31cUXsbP1y4BhUsp03LRvf7PttsYb7Lc16+BTAge4BfhESllrVfjHhBAFaOIDACllFbAWmOksI+uNcz3wKjDHSdLJwFop5RdSygpgMXCGEOIyIcRuIcRSIUSZEOInIcQMIcQOIcRxIcTdTsq+SQiRIYQoF0L8IIQYavzFYP1/sxDiZeBXu2P1Xp4jQoh467bfCSG2W3uY3hdCdLLm4bJ+1nTbhBBLhBAlQogtQoihhvIa5e2ojg7a1aC+9r+M9O8O8jMt+zTAaOem56AV7BwgSAjxvBCi0GoHw6x5TLHazUkhxGdCiCTrdtNrafj/ZyHEM1Z72yuEGG3dZ3rvWvc1siFDfjb7EEK8K4R41HDcrUKIDS7OhZl9OsynKbZvR4AQ4l/W++6QEOJs63GN7l2FZuvAPuv3XUKIXu7Yd1NsWwgx3WqDxUKID4UQHazbTW3b7lhnzyx3n7Gm94JdOd8JIW6w/j/baqcW6/evhBAzrP87ukfsn7VNtl8hxCYhxHzD93lCiM9clOvwHeLi2eHsHvIMUkqf+QCbgHFAb6AIOAeIBv4LVBrSTQW+cpHXLcDbQHdrXjEO0sUDPQzfxwClwHmABO4AIoCfgEygJzAAOAV0NMkvCigHzgCC0QTTR8BEYK81zUSgDrgdsJjkIYEE6//dgWPA2dZz8TraDT/RnfoZ0s0FLMBdwG408Wuat1kdHbXLpL62dhq/m+TnsGx//xjs3Ok58LCd63ZwJ9AB+Kv1uqQAJ9CEfhTwf8D3zq6lXX73AKFWe1iLk3vXhQ3Z28eVwG+Gsj8B5pu0aa+zvB3l0xTbd3Ae7wHCrOfrG7N7V33qbd3s3Liy7ybYdg+gABiJ9ixcA/zNXdt2ZOc0/Rnb4F4wqefDwDLr/28DZcBoINBaz47O7hHjOWyB/c63s9c1wHXOysXxO8TV+XX4jvOYfbW3gTfhRggAqq0X62/AS4Z9o2gocLoBpS7y2079jfU+cLcbdfgDcNxq0BOtF09Y9y0HnjakzQf6muQRCgyyticZeBxYR+Mb6qiTehgFw73AUrub+YS79bOmKzCkCwBOor2ITPM2q6OjdpnU19ZO43eT/ByW7c8fOzt3eg48aefW859j+G4BSoAHgDfstpehPURNr6Xh/zyDXU0E0nBy77qwIXv7iAQqga5oD9wSIMWkTXud5e0on6bYvkmZJw3tHgekmd27p/vHaOtm58aVfTfBtu+j4Q+DAcD51u0ubduRndO0Z2yje8GknhOwim1gP9rUiLnACOBnV/eI8Ry2wH6TrPdDJBBjvR+inJWL43eIq2eHw3ecpz6+NEQVS/2J646mlHVy7NIWAuFCG99thBBiMiCllButm54F7hAOxgKFEJ2FEJ8CzwA3SSmft+7Kk9Yrh6ZGi+0OdXR+7wcy0MaZBzlIU+Rguz0pwK1CiEqhTdbci2acoU2o3xE9nZSyDs1Y4xzlLYQIdVBHd9plj/EcGfNzVba/YrRzV+fAo3YO5Or/SCmr0cT8ODRhYtx+Es0+7LG390KD/VUCQbi+d53ZkM0+pJQlwLfANLQXw34pZYaDdjnM20k+TbV9I0cN7a61tlvRGKOtm+HQvpto28nAQf2LlHKPlPJrtGvsrm0bMdq5u89Ys3vBnh+AnkKIVDQh8AVaD8w5aDaq485ztln2K6XMAraiCcBpaL05epuclWv2Dvkdzs+vu++4ZuNLAkc3CIHW9ZZs2Jdsl7bO7q89c9DUMQBSyu/R1Pal9gmFEOHA92gXrL+UcqVht7RP7wbXoanpVCnlRODzZuRhJA/tV0OolDIUrRvzLLSbyN362cadhRAhaAr7qKO8pZRmq17cbVcdDe3O0cOkKWX7E0Y7d3UOPGbnVhL1f4QQwWjDs1lookTf3hHojCZS3L2WRpzdu029Nz4BLrJ+VrhI6yxvs3xaYn/NeS6cjhht3Qxn9t0U2y5As2WtMCHGCm2F1nEc27Z9PRzZuceutZTyFNow12y0obuNaFMizkEbKgL375GW2O+HaPfCxcB7bpZr9g5x9uxoE3xJ4BxHe2nHoI2d/8FqqPqQlZFOQIWUstQ+E6s6Ho82xmnkOWCeSbnXALlSyplm+TWDILQx1VDrRKz/Qeu6c3STm1GLZiignYurhBADrGLsKTSl3RRihBA3W9X9g2jdpwebmLdpu4QQwq6+R4BkIUQX66+tGxzk54l2+SL2du7sHHjSzgEShRC3WR9QdwO/oL1ErhBCnC2EiAAWAauklEW4fy2NOLt3ndmQGZ8Ck4DfW/N1hrO8zfJpLfsz3gunO0ZbN8PUvpth2x8DfxRCDBFCxAJL0Hq4P8KxbRtpjp03lzXATcAmKeUJtB6hSWg/ssH1PaLbV0vs90O03ptz0ebIuVNuo3eItUx3zm+r4TMCR0pZA/wMDJFS7kCbDPkh2uz71XbJB6N195lxBxAO7BNCHNE/wN+BcUKIM+3SDwUmCCFqjB+0LsDm8CZaN10esMzajr64P6QDsBLYIoToYj0X9wGfWfNMQTO+ppCO9sDQuxX/CNDEvB2163a7+h5EG7/9Ee3Xyi9mmXmoXT6HiZ07OweetHOALWgPtSK0X8K3Sim3of1afhPthTRAr4O719Kufc7uXWc2ZJZXHrADKJdS7nFRtMO8zfJpRfuz3QvWZ8kED+Tpkxht3UESR/bdJNuWUv6GNmn+c7S5LT8Crzizbbvjm2znLeBbtDkvm6zfvwN2S20FL7i+R1ai3cdHaab9SikPo/W+fC+lLHOz3EbvEHfPb2uiTwryCYQQd6GtTFroIt3f0cYElzpLp9CW6wEvSCmVHwkvQdm5+wghXgQOSin/4Q35KJqGM1tX9u0bePM7xGd6cKy8BEwXQjictCc0vwEXoi2VVih8EWXnLhBCBAvNl8xFaL8Q2zUfRbMxtfXT3b4VnsGnBI517O5F4Conya5BU5PlbVMrhcKzKDt3i9HAIbQl5/YrsdojH0UzcGLrp7t9KzyATw1RKRQKhUKhULiDT/XgKBQKhUKhULiDEjgKhUKhUCj8DiVwFAqFQqFQ+B0+4UK8R0KUzDhW0t7VUPguGVLKHu1dCVckx3aUWYX2nt4ViibhE7beLSlZ5hzJau9qKHwXt+zcJyYZCyFk6bvTCeucQkW+Fm6m9JgttAgVnc9k5OzPyM/Px7HTU8XpihACKaXXG4YQQhb+614Kdh0kb8fRRvvjhiSwsCCQyZMnc8stt7RDDRXeji/Z+vYczaFtQrgFgI51pQQVZlJ9eDfb0zO5atFzHPjuc6oP725xeZYeAxt81/O0326Gs/LdOd4RNZ3sIwxpBBVmNkijfzdLb0zrKG+zNI7KdoajsjyNO3ULiYl3y859ogfHFZ9sPMiIESOUuFH4DXFDEhqJnNJT1axdu4EFCxa0U60UCs+xP7+Mvp3DOVpWbRM5Op9+v4XhfTRn8ZYeA5ssctwVHtWHd7tM66z8logfdwSDWRr7bcY26P+7ytteRLW0nt6Kz8zBCeucgojpTVjnhhESIuJ78uHGbO655552qplC4VliB/UENJFjZG9QIIMHD2bUqFHtUS2FolUxvkg/Xv8z98y7w/a9KT0l7qQ1pnFHPFl6DGxRHZwJJP3jiqDCzAbnyHic2f/uikL7fO33tTWeLNNnenDk4JmI8hw4kdZo36EjefTv73VeohWKJtPxgssAKNi1uNG+w/lF9OvXr62rpFC0Cn07hzf4bhyOOXw0n/69erjMoyJtL2G965/9TRUh7vTgNAczceFKcDRnKK4ibS9Ag3PgKM/m9ii11jlyRHOGzxzhMwIHoK5DVwJiehMGDebjREcEU1hYSFJSkvMMFAovR8T3AiDpkqmUH9hH7KCeFOzS5pt1LClnW2Fhe1ZPofA4CeEW2/wb0F7E0REdOLZzCxFnnQs4fvm7K24czUkxHmM/36U5PQm64LCvm6u0ztLbp3OUxll5ZuemKYLKPq2jc92UuU1tgc8InIByqxf1mN7YZtrkZ1BTW0dpRTUnTpxo8zotW7aMb775htmzZzNx4kQApJRqLpCi2chj6Yj4XlhSB9ExVQ8w/zEFuw5SXFFFUUltm9cpMzOT+fPn069fPxYtWkRwcLBWV2XrihagCxvqqhqIicqqKqpOVVNUWtakF6vZy9WsN8BRD4GUkn+89V+2/LaV+XfcxqiRIwgqzGxg52bzcRwJEHeEiSuakoczcWU/T6cluDsxuzkix5O9N+BDc3BKjuys/xLTG6zzcXbkhxLSMZGzzz67zepSXV3Nww8/zOInn2DsqGFMmzaNiooKfv31V5KSkvj222/brC4K/+LFpctsIkfvzenQpx+xg3qyck8Gf/7zn9u0Ptu3b2fixIkM7JPK119/zZIlS6ipqWHmzJlMmzatTeui8C9CKwoAGvSa1HRK5ttNm+mRnMSwiefb5r7Yz4GxfxG6k8YZlZWV3LtwEf957wPOGDyIGVdcTV1dHev25tDt7Iv4ZXvLV3J5koJdB20fMyrS9jYSR/bzcszSOMLs/NrTXOGkX3dPixvwIYEz4+63KSxq7Avn2IkKkpKSbL8qW5tNmzYxbNgwNmz4jleWP8+u3Xs4//zzCQsL49lnn6Vr167cf//9/Pzzzxw6dKhN6qTwHx588zM+Xr3W9t0oco5XQa9evdqkHqWlpcybN4/zzzuPe+fdwaTx5/Drr78yY8YM0tLSWLFiBQcOHOD1119ny5YtVFVVtUm9FP7DH6+bSWWW9oI1vtxyKyA1uRuBgYENXn72L0JnL0Z3X5YnAyJYuf5nho6dyP6MbJ58bhnbdu7iogsvICAggCXP/4uk7t24758v8fO2XWTmNHbfYDY0ZC8+HIkR4zZ7seFIfNjnYxQ79vvM8tQ/Yb37uxxGaw7uTMhuTVFjxGMCRwjxnRBijOH7FCHEASFEmRDifSFEpHV7gBDiP0KIAiHEne7mP3LcBZx7zSPkBA8HQB78EoBPfs5jwoQJnmpGA7Kysvjyyy+ZMmUKY8aMYerUqVxxxRUsvG8Bq1a8zc2z5rB1xx6mT5/Ogw8+yNq1axk/fjx9+/bljjvuYNSoUTz33HOtUjdF+9Gatr569WrmPfYc/3r9XURELPJYOgC7D2dz8uTJVplkXFtby/r163n88ccZMmQI06ZNY/DgwRQdP8auzRsJDAxkysVXMGfOHLZs2cJ9991HZWUljz/+OC+88ALXXnst48eP5+jRxg9/he/S2s/0rjHhTLp+Dkdlw8nGn/z3c8ZNnNykl5+ZADLjUEYGX379LeOnXco5F17M5RdPZ/7s/+HvTy7mtbfe4do/Xk7WkSOMP+ds/rboEbb8tpWpF5xPx6go5ix6gjNnXMs7vzb+4aqLBf3T/eJpttWQoK2MNH6HeqFiL3Lse1aM6Rz12Njna0xrlmdThY2rVVnO9jkSqG1Bix39CSGmAJcCfwHGSil/FELEAOnATGA9sBzIllLOs6YfDTwFvA9cJaUsdVGGrK6uxmKxcN9tV/DYzWcjraupln26g7c2n2LTpk0enQ/w2WefMXPmTIYPH050GNx83aUUFp7kd+PPIjZYq+5Ha/dyxU130zUxgT9efimXXTydUWeOwFKpzRfK2Pcr0//8AH+Zez9z584FtHHeEydOEBAQQHR0tK08KSWHDx+muLiYkpISysvLqamp4eTJkwQEBPDzzz+zdetWFixYwEUXXeSxdp4OeMr5WWvbuhBCSil55JFHePDBByn78iWqDh4AoLZbMsNueoC3PvjYNt/LExQVFXH11VeTkZFBjx49mNKrEz2GDKdTdBRnjxgKwKlT1fQ+7wqyc3KZfuEF/OGSGcyYdiExMdHIY+lIKXnkuZd547/fsHv3bkJDQwGoqqqioKCAxMTEBvdmUVERubm5lJSUUFpaSlVVFbW1tRw8eJAuXbrw0UcfERISwttvv+2xdp4ueMLW2+qZnp+ZTufkXjz6+BPcetvtgObs7/HFS9j002ZWfvAft+obVJjp1kvz/Y9WMP/evzHsjCFEd0ngwsuvpujECcZNnEx4RCQJ4RY+fv1FZs1ZQEpyElf+4VIunTGd4WcMtdnvgZ/X8/ub5/G3qy/i2gvOAbRnd0FxKcFBQUSFh9nKq6ur49DR45SWV5J/YD8Vp6qpqaujqKyS0OAg1v64k30FJ5k9ehBndY8DcCiCjOTtyCVuSKJb58YsT2i6wNFp6rya1hIzbeno7xxrPkaDngH8KqX8BEAI8TjwOTAPEECg9RgBuKWwgoKCOPPMMwkO79Rg+19+P5iln33EF1984bE5AVlZWVx//fX8960ljBk5pME+22RnICVJM7Jbrr2YhXfeTG2H7gDUduiOJf9nUiNKeWLu7/njvXezePFipJQcP36csLAwgoKCWL58OZddpi0Lfu+99/jTn/7E0KFDiYiIoK6ujh9//BGA4OBgQkJCGDlyJL/88osSOO1Hm9j6BRdcwIMPPkhNbf2E4sDsTB7686UsWrSINWvWEBDgmc7X2bNnkxAexIqP/g1H9tm2W1IHUX1oFwDBqYNI7t6d7JxcPn3+EduwGWhDaNU/ruT+34/lw5WrSE1NxWKxUFpaSmlpKR06dGDy5Mm89tprREVFUVlZyeDBg6mqqqJHjx5ERESwbt26BnV64YUXmDVrlhI47Ueb2HlERDg9U3s0EL8nAyJYMOd2/j38LH78eTNjRjv2+WScmOxK5OzavYc773+AL1Z8QMoZZwFwtKy6UbrOKX0BmHv7LG6/9eZG+/uMnsCieX/hfxY+zqLXP6VOSo4XFBIeGkJwUBAv338r0y6/EoClzz7HnGfeYGivZMLDQig7Wcz2rGMAdAyxEBoURHxEGHvzi2wCx1EPTd6OXIdtaw6uVl2Z4S0ro5pCiwWOlHIhgBDiPMPmocBvhu87gXghRATwFXAjcAj4XyllmbtlJSQkEBOfwqc7Jelbj7Dg2okEAv+861Kuu/FGvvjiC0aMGNHSJrFx40YmjB3WQNwElOdQ16GrzQ/PqfizWbDo/0hOTmbNd5u5b86NWMqPUNuhO4HlR+BEGvJEGlMHBbP/9Wuoqa1DdOxBLEfpEGph895jXDX7Fu68806SkpLYu/0n3rnzTP449Swq8jMor6pl9MEO/OG623jqqadISEggJyeHjh07trh9iubRVrZeXV3NwIEDKe9/Lve89CmPXHU+CZ068qfUXry++ntuv/12li5d6hGRs2HDBla//BQWSxAYRI2OJXUQKzfvIztXe8B+/8tWzr2oXuCc+nEl5Qc0YbRqzhWciu9OQLdehIeFEVV0hOqaWu5a9g7dunVj4MCB5B5OZ1TfHrzx178QbAmi/MA+/hUbwJs7sxk1ahRvvfUWa9asIT4+vsVtUzSPtrJzIQTxXboQ06kTKz78gOLiYm6YeRPBwcEs/vsjXHXDTXz56Uf079unxc7fvv/hJ6ZNOd8mbqA+RIQudCorK1n0wF9J7t6db9as47abZ1ISFNUgn451pVx541+YeNZI6qREANGlRwkNDua77Xu54dFlhC19l4QusRw6nMHnT9zD70ZqqyFztv3GmEX/5g99k1j2y166hIdRWFGFzCuzCRhjz4ynRE3BroOmvTjNETme5GRAhO3/jnVOO/yaTWstE48CMvQvUsoqIUQNEGXturzSVQZCiFuBW43b7rrrLm6++WbS0jSRMWDIMC4c2pHzx/TjhXumc+GFF/Lhhx8yfvx40zy//vprDh06xIgRIxg5cqTDIa0tW7Yw8oyGarWuQ1cCynNsQ2Pbd2ey70A6R44cYeiAnqzd+AsXTByL5cB/kCfSKM+3NZ8YgEAIC40ELIiY3owe25v9K8ZwKKeQA3u2c/ad19MxIgQR0xvyM+gQEshb80fy6Ptv0D02lPz8fK655po2X0WjcEmLbN3MzseMGcPw4cPpN/wsiotLOHGyhJfnXEnH8A6seGQulz7yIjfeeCMvvfQSFoulUZ4FBQW88847dO7cmUsuucQ2ZGRPfn4+J08U0qdHvf+o4DEzkMfSqT60SxMuB/bxzPKVPPjQIqSUPPzMi3xz0R8AKHrzyQYPz8jQEDrEdcLSvSsA1cU5hAQH8Nzc63ls0V/Z8d1aQixTGNkv1dZDVLDrIFfEd+Jg2hF+3fA1kZGR7Nq1i1deecX1mVe0Ja3yTL9nwVzm3X0/GVla4M0BgwYx+qwxTL7kKv5aUcuUGZex4p03GTF8mKnI+e+3G8itgFEjhjM4xrHbgt+2bWPEsGENttn34Py4aSNlZWXs2LyRvsPPYsVPewjurs1569s5nH5h2kR6y4ks4qsK6g8MDqYibS/nDu3Pvv88xcGcPA7nHmdkhCA8JNCWLCY8jFdvvZR/fPANXYKDyS4qZXpiApO6dNbqszvf1Sm0YSaInGHsGTKKHWerqJrrQNEdjOKmNfFYsE0hxGG0sdcfhRBPAqeklH+z7gsGqoAOUsqKZuQt9XpWVFTwwAMPkJqayrPPPkuXqCBefWIefaLLWfdLGjP//jmvv/66TeRIKdm0aRNvvfUWn61cQWJ8Zzb/tovQ0BBmzLiYf/zjH/To0QOAmpoa7rrrLl55eTkvPT6HP1z+xwb1CMjeQPkBbQl4XZ1k7F9/YMHCJ5k3bx4Z3y2nY/73HN+1FkdExPe0hZwwJaa3rYeo/MC3DQKKHjhWxV0fFHLGpCt48cUXm3oKT2s8HYCwtWzdaOcAK1as4MiRI2zYsIG1a9fyt1nXMefPV1FZVcWCR/9JYU0g77//vu2hfvz4cT744AOe/r+HGdoriRXfbQFgwIAB3HXXXcycOdOW98aNG5k1axahopafVrwGYOu9KT+wr0HAz03BVXySkcvgydOIi4lk0c1XcPKrj9nz7iZACylhfGh26NMPi82Hj2N0EWV8+FbX1vHK1v28siONrXv2KeedTcSTtt7az/SqE9pwzcmTxTz6xGI6d0/l3y/8i67JqTyyZCkJ3bqz/btvuG/+HD78z+sMP0ObEyal5PtVK3jj48/4/petdIiIYufuPYSHd+CS6Rfxf4sWkpig9QBWVVUx9+77eP/jT3j/zdcY9TtteP9oWTX78+s7mvp2DqdnUCkDR4zh3gcXcd9dC1i+Ziv7C08BcNtZSXSsK0X++mWL/dto91YuP2w7wvPF/8/eecdHUa1v/Dvp2QRSSSIt9BaKggIiIkgRbBRFsWFB5ar3XixY8F5EsWK5WH/Xem1cGwoqXEGkCYoURSOGTiAEMIRUIL3M74/NmZw9OzM7GxKl5Pl85sPulDNnlsnOs8/7vO97gNNDIriuiW/FMqlbvOl6f/w4KsyUHRmC5NSV4FiFDY9VvXHqwWkogjMJuFTX9dE123oBc3Vd71THsXWzeVZVVfHSSy/x6ivPs2XJywA89e+5PPjMe7Q6LZ6pD0xn4cKF7Nm1jWtHn0twUCBzF6+jfZtW3H/zhSz6diOvf/QNH3w0l7POOourrrqKooIs3nnqNhLbdPfw20Bt5lZJTgbh8cks+LWUu56bz2UXDebpyeeS/d0bABRme2eTRCW4+woJkmNcmwnZ0fN3GlWaobZz+kE9kYsf38ALZCxjAAAgAElEQVTebO90+UZYo4EJTr3d61b3OcDOnTu5+OKLefLOSYwefh5lZeW4Us4lwhXOpJtvweVy8cZr/2bYGV0ZcVZ3Plq2luyiMiaPOodOLRK54/n3GDnuCp588klWrlzJxIkTeXXmvVxy/kCCgoIoXDLPIBqierIgODHdEpj4xbdUBQfx8ZdfEr/mM2Pf7E1ZXj2z4lLa2ZIcLbG9kR0mzitXbAa4e00ql48czMQnGsm8P2hAglPv3+mC4AgUBkRSUVHB8889w9dLljBnwTcAvD7rEV5+YTbt27Xl9lsnMe/zBeQXFHDNleMpKi5h4aLF9Ejpxt9v/wtz583nsy8W8No7c+jQsROTrr6c6KgoXnpuFs3i440HqyA4aVlHSElqYig0b85dwJOPP8Y5F1/O+Ml3GXO7pFWQQW6cZDJBLXkQJEEQI3H8rx9vYkdFCf93+ACz42rDvqmFtSUXekWFWo4vE55jITnyXM1wLCTnZCU4ccAOYDTuWO0cYIOu6w/XcWzLL/7vvvuOc889l9SVn9AuuQXl5RVk7vyVb9f/xqZdhzjrjBTGXzKc+V8t576ZzzP/8wWsXr2al1+czZpPZ/Hr1j289sEiFq38ifHDevHeSw8RFO0mIAEmva+EggPg6jsZcBMfWbnZvd1bSo2NdtfpadHDuyCh2kAUMAiOrOLouk63B7cTHx3GuSOv5MknnyQhIcH8Q2uEgQYmOPV2r9vd5wADBw6k42kxvDTjXioqKzl85Chb0zP4dO484lslM3HcRei6zl/++SS9+g1kzJgx3HXHXxh3dg9uvug8HnxjLp+u3ojL5WLODSMZMnKoQUJkgiMgCE7XCQNwdXRL9bLikr0piwNb3VJ98y5xxnFC0REkRyhDZoSncMk847V8/td+2srbqdtp1SyGmS+/zsUXX9xYNdkBGpDg1Pt3enahuVXn60VfMWniNaxau4Gk05pTVlZGQcZWln+7mi2793FWv35MGDWEDz75jCeeeY65c97hf4uX8Mm8z1mxaAGL1/zEJx9+wIplS7nxuqt5+V/PEBgY6EFuAIPgAAbJERDqjiA+QXl7ObzU+2/EDlakofbv53fKqqq5YNX3NAsMpmdIBFdFJrDrSKXpcWZkx0rVEXBKfOpCcJy0Zfizs6gahODUvL8EeBFoBswF/qLrep2qgdl98eu6znPPPcdjjz1GYWEhYWFh9O/fn8sGd+GOiRdR7WpOzyFXE+Fy8e/X3qBPnz4AdO/enawDezn0kzsVsby8gpCiWtWkusUgU4KjS++1mA7o+Tu9wlKC4OTmlRMX61mAUBAdcKs6kYk1LN+E5BxKW0Fhdpah/gBk5pVztLSaeb/BB2sLmTp1KlOnTiUo6ITpuvGHoyEJTs37ernXfRGctLQ07r77bpYsWQJAy5YtGXxmDx6+Yiht+57L3K+Wcd09M5gxYwb33XcfwcHB/PTTT5x55pksfuZeBp/elerqao5u30bh1j0AtLtrKgDps2ube2ZvyqLrhAFs+WgNCT2SaDVmFFBLbsSX4ZaP1hgEB2pJjqzoCKID3gRHDYmJcwOUVVWxt6SEg2VlvLY/k3Zn9uOFF16gW7cTL5Pjj0RDEZya9/X6nW5FcKqrq3nu6ad45snHAQgPD6dv/7O5bPwVTL5qLLqu06ZrT7p07sTspx6nW1f3Azi+dXvatG3PstXu0Gl5eblRAFaoBIUBkR7em/m/1artKUlNjNeC7AhyA3gQHCsDsEoozIiDTJKyN/3OvpIS9m3P5euSfH4oPcyAwGj6BkbZEnqZ7PgiOVZz8zVPGb7MyFYk56QhOA0JX1/84K68umzZMoYPH86KFSu46aab6NO1FaMvGcnXq1MJDQnhg48/NW6au+++m5CSTJ685RyPcXSTbuWCyIjX4FZy9m9a40E+BGSCIyATHZnkCMhkB2qVG5XgyEjPLuOej3+nw9mX8c4779Rb6vDJhvomOA0FJ/c5wLJly0hJSSEnJ4fZs2ezZd0qqqqqeebh+xlz2/2sWrWa7t27A/D777/TuUM7Mj6ejSss1Mh48vySrf2ST+iRZISdWo0ZRXDbFA/yIxCX0s6S4IhxxH5y6EsmOxW708j8fJHHuL/MTTPGEmNX6jpLSvL4sqqA5WvX07NnT5+f0amKE+letyI4AgX5+fy4YR39zz6HVd+u5K6/3k6fM3py03XX8Prb79KlUyeef/oJ4zv9ljumkNw5hb/debftuILgJEUEk1VUYUpyZOVGoGLPZo8QlV2Wk0wm7GrbiDGEwfib/MN8UXGIlgFhjAyKQ9M0skorSQrz/gFb34rOsZCcRoJzDHD6xS/j22+/5c477+TAvr2MHTOa1958m3379tGiRQvA/Wt48ODBfPnsNfTv0cY4TiY4sg9GdC8XJuHs794wvDYqASnMzmJHundcUZCc2OgQ8gpqyY+q6ogx5NdW5ymp0PnLZ2UMHv93nnzySYefzqmFE+lL39/7/OjRo8yePZuHHnqIGX+/hUdefINp06bxxBNPGPuMHTuW6NJcnrm4P4E1JNiK4MjoM/1GADI/X2TsIwhQ1wkDDJ+OWZhK7AuepEWsF1+m6jzksWTylFpYytHQMj6ozOXX9D2NaeQWOJHudV8ER8Xypd9w3913Eh4aTJ/Te/HBJ5+SvWcHUVHuVO616zcwfuIkPpn3Jd1qCD54ZkuJ1HBwqzqFAZH8e12msU724wCmBAfM69WY3dN2UAlS1uYcUgvLKNWreK/8ACmBkZwTFENWaW3ISiU6KslpSIIDdSM5MuqL8DglOCftT/7zzjuPH374gWEjRhIU6mL//v0GuQFISUnh3Xff5YYnFpG+rzY9T4vpYGr8LcnJ4OjBdDfpkbabkQ7wVGziYkO8QlVWsCIzArLKAxAerHH3uUF8+p9/GenzjTh1EBkZyfTp05kzZw47cor44IMPePzxxz32ef/99yGpPY99uQrAQ1FRcWBrrrGAd1hJqDuyCdkK2ZuyPPYR42ZvyvIoJa/upxKl1MJS97WWhdIiOJSXLx9JRYV3kbZGnNw4f9hwlq9eQ9fuvYiMS2Dr7r0Q09zY3r/vWTw+6xkmXX8tBw/W3k/bc4oMT40gO1HVRwnK20tcjn2DSLm1QHCbbsYDXrReEEvL0Rd6tWlwQhhkJHWLp1dUKGFaIOcHxZFaeZQC3fM+l8kOeBqSwU2S7NLNszf97kGs5Pe+GniCfYNOJ802j7Wekb84aRUcp3juuedYPv8tFr5YU55BkJf8nYahWDb6Ria2I2zwIx4p4/L2wuwsD3VGQFZp8grKPVQcq5CVWXhKEJyjB9MNMpRfXM0/v65kY0YJr73zEZdffrlfn8HJjhPpV21D3ec5OTn06tKRjyePJanQrS62GjPKIyVcDTf1/8+zaIntjXo3sooDmB5jtU2GvJ+AHVk6sDXXIDn7gotYVX2E5OQEvly/icjIP6aexomCE+le91fB8QWhyDz56CNkZezihTffM00HT4oINohNZWxrFmRWepmNRXhKkBvxYJYf4kKxUFUJeV8zMiCHuFRFJXvT72RtziGnqoKn8/ZxoLqMscGJdAh0OfoM6hK2EqiLuuNPocC6dno3wymv4DjFtddeyw+bs1AfLCJUJZMXqM2cEkTo6MF0L1VFJSxmBMYXBHkpzM7yWMwQ4wrglbEhfHJ7Mn+7+Spefvll43pE76utW7eSnp7udZ2NODUQHx/PiEvGkFpc2/6heMc2wxOjIqFHElpie0oDXUSNGEdcSjsSeiR5EZPmXeKMRQ492ZGbA1tz+WVumk9SYzZGy4oInohIJiK/hAHtW3s0+CwvLyczM5PU1FRKSvwuzdKIExwiS2r8hKtYu+FHj22CwECt4bgytjWFAZEe2VNQG8YyewiLTtla75FUxrYmN74bhQGRbCsJpTAgksKASHLju1EZ29pQfFQSIP5GzAhFQo/TSOoWT/cep/F0s7b8M6Y1C6uyyQspoWfTEHpFhaLrOiV6FYeqy70UHlXRAecFBFV1p74hN+wMytvrsTQUTvnUm5iYGMrLy8nKOcxpzaLcWVMxHTz8NwIJA28Bagv+qeQHapUXsCY2Yr3414kfR34PtUqOTHoiirOZc20EU56ayrSpU+jSsilVus6mPYW0jguhuLyagMAghoy6jJEjR3LxxRd7NPxsxMmNVq1asfW3H7h6eB+vyqa/zE0zVJJR/VoY2VWhBzZRsTsNV8fOuDp29jApCz8OYJiSi3ds8yIucshJJi3itZmHRw1TCfSKcldlnlgVy6fFObRt1ZIEVxidWiWycstu4sJDiQwJ5vcjxfRqcxojrpnEmDFj6NWrV2Oa+UkOoeAkJZ3G3sx9lJaW4m6R5ZkhJZSZbSWhbM8p8NjeKT7CtC6LSnbkOi5qReSsogqIiES+g8M7dPFQc9S6TzJk4pMEtCmK54Hf0ng77yBtXBEcqSpjf2U5UVoQpXo1QWi0CQinY6CLDgHmSo9KcuxUHbMqyU7aPYjr89enY/fZHmsLh1M+RDV//nwef+g+1r19W20WUkwHite/ZhCYyMR2uDoONVQbeZvYLrB/0xqvc8ikR4UazhIERy4MKM9DVozkMJV6voLiKjLL49j1exHntS4lJiIQXdfZtO0A6zIqWL03gDU7ijm7SxzPvb+MHj16eI1zsuBEku0b8u+xY8sknr5sMIO7tDHWCdIiZ0Rd8t+pHi0bVJhlYsWltCNqxDijwrGZ+qIah8HtrzlU5laVmoUGcv3NfYxtgihZqUEACZ1j2V9Swu7iYpoGBdG7hrAXV1WxqfAwGwryWX24gKCQYG67dxpTp049qbMNT6R7vT5DVILcAHzw/rt8MfdDPv5ysWmIqnN4mUe6+PacIq+0cPmh66utgJyVJSMup1axsKt+bOaJM8vUKiivYHdxEVt35dA/tAnhAe7v9P1V5fxWXsTyokL2VpfSKzSC6yMTaR5kXSRQhT9Vko/FjOwrTKV+1mYEpzAgkoSoiD+sm/gJjZSUFLJzC7x+3Ym6NDKRsSM2AmbeGSty4wQyYYpMbOdxTvm1eo5oVyDRrgJ6RIP4FaNpGsmxgSTHBnLFGXC0LJilGYEMPvsM/v2fD7jiCs/WFI04udD9rLPJOVJsuk2En+JS2hHcNsVoomkVwhKQv+zsyI1TZG/Kos/0G8n8fJGhEAliJFQdVfFJdrlIdnn+cnUFBtIvNoZ+sTHcoevsKCrileefYfXq1bz//vuNyuVJBvnB2LlrNw7m5tvuL4hPp/gID19OxZbN0Kabz+7kMgSxUR/GataVrIzIGVdOCEPW5hySusVzRkg0p4XXGo01TaNlUCgtg0I5rSKCUr2Kn6uOcF/ubsYEJ9AxMMK2GrIvmPmErPpa+UJdyI0TwmOHU57gdOzYkdJKjcysAlqfFmOsF1lTQr1R697IBfpE+nhJToYt6TCDVRhLPlaoPHmrVxIbHWJUQ5Zr5Yj9YqNDvAiWGRErzM4iMlTj+oGx9G4Tzs1/vYFff/2Vxx57zOecG3FiYuDAgfySno5qQZe/sFwdO9c22qyBquYI1cesFs7S7Npfy8MS3L+KVWIio1dUmBEaA1i0bj8HrnmWoQ9fYnoNaohLrb0jt44QCpCmaXSKjOTZ9p15M2MLffv2ZfHixbRr51+WSyNODPTsdTp70tM5XFhIUlQUEOGh4rgfmrVhpc7hZeg/fsFhk+7aavVj8O5CnhQRbGRleaBNN6NujqzE/PrxJpK6OW+WKcJLTrw0YVogZwdF0yIglE/LD9JPL4fCGEuSU1+VkO3gJH3cKZHxt0nnyavVOkROTg7lJUdoFlNjNKtpeCmHf/Sa94CH2VeoPOq/KvIKyr0WcKs9dos4FtxFA7dkVJBXUM7Rg+nG/GRyI5/LilwJsiPOUZidRY+W4Xx1ZyvefOVZ3nnnHcrLvbPAGnHiY9u2bSRlbTHey+pMXEo72t01leC2KR6VhYPbphh9o4LbphgL1FYyTi0sZWl2kQe5ATyIC7iJzunjvds1CF+NCFWlFpYajTxFFWWwD1WJ9HMZqik6OCCA22KaM6xpEH/729/YuvXYmiY24vjEvsxMIiIjiYisDUMJpaZzeBlR1UdJighmUHI0ncPLKP7kefZ98ZXHGLLCIIey5PdJEcGm5EZOLReEycNXI5GK7E2/W6Zmi4yquqB1QDi3hLbku8oC0qqO8nNBqe+D/ERdM6vM1Juo6qMeC5iTGXm7E5zyBCc7O5uAgADmr9hUu66maWaHIVcZyowKoyZOA0FON8/NKyf7iGa6Xfbw5OaVG9WTZZIjCJF4LUMQqeT2nfjXTd3518NTmDVrVsNcVCP+VBTsSOV/qdspq3BL3ILMtLtrqqHcCEOxMEHKvaLE9vTZz5Kblu4zFHWorIrUwlK3KmNR8Ri8iZCAlQkztbDUOEbOthL/mhEd+fWk0zvh2r2Zgb1Pp6ioflOVG/HnIzc3h8qKSpYu+dpjfVJEsJG1Ix6U+sbFRpgovEMXD7VB9emYwYzcyCjZudU0a0rUq8nanGNah0ZWfFILy4xFhrzeLHuqiRbEyOB4Vlbm8WPVYa/tTtPHVdSlxk9doJKeuhiOT/kQVevWrYlLaE5IcKCh3ohWC81qfmzu37TGg0i07dTaqyu4DGEG9mUuzivYa5o1JbZDbbuHhCa15lN1TLFvXGyIB8lxozYDyyzrSw5fje57GslhBYx96SWmTZvW2N/qJMOA0Vex64WnCQoMMAgN1PaEEhWLhRdHtFYw6xkFtaZhobyYQVZlqCEgCT2SDDIim4wFhKIjzmlWU0feR4YIW9mRnKiwEO5q1ors7CP897//5dZbb7WcfyOOX5h5NADatmtHuCucEtyhJNlELNe1qdiz2Uu5Efs4ITfy/oLkCO+OGF+G3JZBEJJeUaGGSiMIkLqfKO6XFBZkSmTs0CuwCVQE8G1VDmcVNEXTNCNcJatDTsiOk4acqpnaLDzlj7/pWHHKP8Huuecezk2J4/JhpwPevagOpa3wSuM287QIyKRHkBzI8lJa5NeiynFUTWNwX94ds0KCZhDnMfPlyHOUM7U6JIbSunVrVq9ezZAhQxydpxHHPzZv3szjD09nyT3XEBgQ4NXlO332s0ZLhQNbczkd9xeaMBoLT47Zl1wzEwXGjPSkFpaSum4/o7AnR4IMiYrJKlTfjljnL0YkNOOzzz5rJDgnIKx+zeu6zr13TmH02MvoP2iwR8dwiICISKKqj3qQG1m98ZfcmM5h42Ks6mzLpEIQDUEuZNXGLDSlVjF2igTcz5eDejlJWt0Nx1aQQ1JOC/8JQuiL6BxryvgpS3CWL1/OvHnzWLLwU1I/us9IAT+UtoK2nVpTmJ3FobQV7N6+16sruGw2tlJx1Cwstf+UgDzuj2t3cmZ/7zYRMsRczDqVy8g+opHQRCc3r9xQiVTiJK5Bbew5btw45s2b10hwTgIUFhbyyiuv8P5rL/PgRefQ7ex+AGiJ7QkGXOBBbgR+mZtGc6PGjXlrh1qp2u2XkVWZZqGBXnMRZGbRuv2M6tfCa7sKtYeVU9iFw2Rlp19sLLN++IH8/HxiYmJoxPEPu4fc0iWL+d+XX7J921ZmPP+qQm48IZQGM3JjBaECqengMqyqF8t/O1mbc7jgbN/3v79qjRU0NFrpLrZUFZEUEEpqYdkxZVb5g4o9mx2ZjJ2gMCDSb5JzSnpw9u7dyxVXXEELbQ+LXppM08gwql21PU0iE9vRoscAg9wI+FuRODw+mcjEdl7KiehNFRcb4jFmXGyIl/fGrI+V8OR4hqJqxwDPkJbq1ZGhqlGF2VkMKvoP8+fPp7q62o+rbcTxiHvuuYfvF3zCA9dcwm03uMsAhPS/1NguF+ZTVRE1LGRlhhThHzsi0isqzIP02Pl3DpVVsTS7yMNnU58Qvp2CHQWcHhLCwoUL63X8RvgHu4eWus2KgGzbuoUpt91K945tmPPxp4SGWSt6Qj2IS2lH02HjjKrE8tiCxKhVjsEzo0ocIysRonqxmZqR0OM0el7Zg4Qep1lmKMnqTV1VGxVtcbFF+ixV746VmVlWlaw8cXb9qeoTdVFwTkmCk5qaSo82MTxw4zC6tE306D8VmdiO/ZvWsPKLJQaBUIkIYOvBEfBlQlYrGoN3+MnbU+Mfso9obMmo8BrbLo08QcsnoiqHf/3rX+Tl5dX53I34c1FZWcnaZYuZds0lTDi/v1HrqTTQhX5wl2ndGjPDr1VLBZXw+CIivaLCGJYQ4RFOUpUeOWQlTMpiXvKijltX9CoP5ak77mD9+vV1HqMRdYd4aKkPL2EqNSM0oiWCvG37xh8Y0L8fk6bcR5u2bY31KUlNPKoYC4R36ELTYeMMYuNLuVGJjlq9WEC0chCqhUxyzMK7ViRHEA+1e3hdkUgIRXo1y0vz2Vvq+TyRSY5KdOxq4DiBL/XGV5uGYzEYwykYosrPz2fc2DHcMu5sj/Wi/cKm1SttCYWqxogaOCoEuRHhH6t2DHWFUGhkEmYHoQZZ1coBz2t7bkIxs/49jR9++IHPPvvsmOfbiD8eU6ZMIffwUUJzDgLuL9eQ/pdS/v1HpH++yAgBCcJgRxTklgzql5xsApbJhxjPqlUDmHt11O0qoTlUVmUaAnMCoTaJefQPa8rvReUMHTCAnzZvplOnTnUatxH+w+qh5e/DLHPvXm6+/e/cec+9XpWLVYgmm05CUkkRwZZERoYIncgqjvzg9iA5eBb3c7c8Oe2YUsKdQENjCHFspJBDlBNS6v6bFARKNj37ghnJiUtpZ9qqQTVa/9Gm4wZVcDRNu0DTtB2aphVpmvaJpmlNNE0L0DTtA03TcjVNu6chz6/iwIEDTJ06lbjoCGbceoF7ZUwH9PTF7Jj3KCu/WMKWjAqPlGwr9QZqSUxJTobXIsOqnYJc70aFIC7ZRzSvFHGr/c3ITkITnYQmusc6JyblThGHuXVAOAe3rPS576mO4+0+r6qq4sMPP+SLuR8yedDpdEiMBWrIzdovyawhN0INEUTEKl1bhpmaozbglCHIjbyPOK9aN8cKh8qqPBaxToXT+cskK1QLoGtVU1q7XOTm1m8o7GREQ97rdfmlvjcjg8cenk7zFi24cvLfDd+NWMCtwAxKjialZAdQW6dGLuKnLgKi1o0Ms3VmMHuYh3foYpRgsC6DUD/eGxUtCacHTSnF/bdjpQ7JSo6T5ptOU8bry4vjDxqM4GiaFgN8CNwLtAQ04FFgOLAFaAUM0TTNv9KEdcQ111xDSpcOxFTsZtu8B0mIbWKQm50rPmRH+lHDmCsIgUwKBBmRwzmivoxcZ8YKTlUbmahkH9E4VKQZr1WYkR+n4SxRJ0eeu9zBvKJK552fdM4ccZ2j8U5VHG/3+ddff03btm15fuY/eXfaZKaM6I+rY2ejGrFIBZfJgEjVVtUSVXkxC0Flb8oy2imAW7URixm5ATyISl3QLDTQUHBk1clMgfIVNkstLKU6rIKc8HCSk+1Dzqc6jqd7vaqqiusmjGfYoHNo274D363fyL4SjbSsI2zMyGdjhrtVg9yGQSY2/lbEFaTGCbER6o2qXshwWkumvjw4AJVU8yuHiSPEUehLJjlWncatGnCaQe4mrsJpR3F//+8aMkR1KbBR1/XPATRNewr4H7AYd3OkINx/IH9It89ly5bx/dtT6No20b1CIjdC0RBhH5nYxEaHWKZXW0FujinDF8kxK+jXLEL3mJsMs3ViHLN16nXJkMmNrus8vLSaMFcEzz77rO2cG3F83eebN29mUJdWvHXfzYDbRCyqERcumWcoGGap1mZQQ0/N7XaWYEZu5Po3xwK5OadTyMqTfN3hrmqeOZrFV4u+pXlzp1d3yqLe73W7NGC7B5mmaXy7Yjkbfk0jMTGJrKIK0rLyDGIDbv+NqDRsFY5yEoLyB/KDWigW6kNd7SxuhfokN9XoLCWHhIBgLgo2TwZwEp4y6zRuhhKTthe+4CtU5S8phYYNUfUEfpbe/wYk4s4p7QrsBpbout7gpUS//fZbQgOradPtTGNdtas5WkwH8go8Qzu+vCx2ao1MbOxq5Qiooau42BAv0iIUJXU/eXEKp+rOkTKdb347TIeYSubc05fly5eTlpbWaDg2x3Fzn1dXV/PJm69wbs/aFgyujp3REtsDGO0PzCCrIiKE5ISMqO0Q1G0qmneJq7N/Rp2nPFcz87GA3XX8WHaExNBQVv7j7yxcuJD169eTkZFBRUX9PvhOEtTrvV6XB5bA14u+onVyG+LizAvU9U6OMYzBZr/61VCUDCcqjQxBzKxUCNl4rJqPZQVE1MMx6uOEBflUWsQ+vvYtoYr9lBIXEEJadRGB4ZXERUCHJkH0igr1IDdJ3eKNRYVd9ld9wImS408YU9P1hvlhqWnaG0CGruuPSesqgGRd1w84OP5WQFTg6nMsxbi2bt1KQmwksVFNoKoUAmul7NKc3ZSVu9OhgwJr1ZPAQO+QUFCw+8YPCA6lusI+ThoQ7L5hxH6V0hdmUHCwx3uBqiqdyirf/x/yPMX+lVXydizXBSnXZXadAGWVOnnFOpXVUFmtUx0QRllZGV27diUkJISAgACvDuzHK15//XV0XW+QyR5P93lBQQEH9mXSpfVp6GXu+y6waTTVweEEVJRwdM8+Kmp+FZZUeZcACA8M8FgfHuj9+yc4LIjgcPffQUVJBcHhwVSUVBjjBocFUVFa6bGfioqSCg4XlVNRj189wZrnnMV1VOjubWJ9cFgQh4tqiX54YACHKitAg0p0tPAwysvLadq0KW3btqWysvKEquh9It3rN0262WN7IJ73ZJXN7++tWzbTqmULmjZpQhUBVFTrFJTUfqeGBQfSJCSQQKpNx6modnbzBQco35c1c5THFOu0ynL08hL365BwyzHFPtVlbkJeWVJGZYnn86CixP33VFzz/V5h8ZwOVr6D5f3ENlfNd3ypXs2R6iqq0JsVaGsAACAASURBVKkO0KjSqymv1mkfEUGABgFomH2lB5n8HQeF+1Z7AkKtkxZsP58g3z/a33jrP47u84YkOM8A5bqu/6PmfQhQBrh0XS/xcyy9rvNMT0+nzxk9ObjkEYJFOwZAT19sWshPhG5EWEpWWeRO4r48N2b7ibHkkJdZ13BfSouYq1lIywyHijSvUJdVuMqqvURUQhKjX9jNkDNa8sbKPCoqKhgyZAijRo3ikksuOa7lfU3TGvJL/7i4z6urq7n66qvpHx/EbWOGGpWHo6+7F/3gLtJnP2uZ7WQF2UdjBTN1xMp7IyDmYdam4VhhlXYue3bUrDHZaN28SxxpTXTe2ZZB0/BQlm/bS+fOnRk1ahQXXXQRAwcOJCDg+K2ucSLd69mFnkKP0xDVptRfuO6qK0jf9BOaphmVh+f/5v7eSklqYnhvzOBvWEodR01fN+0k7gNqQUDZcCy3agApjdskZGWm2mSVVhrre0WFeigxqvpy8afLuOzMbry4+Ac0DQa0SuS85NM4v21z4lzeBKUuPaisQlVmpmOn2VShMYmO7vOG/GmyFXfMVqArsMPfP4Rjwe+//07Pnj35501D3OSmBtWu5mjgk9yor8HbV2MHq8aWMvGRCYWoduxP2ElAmJEFkVHXi39rURuWE8TK7PplhAUH8NriPbx1U3M6JYWy7vcM/vfGfdx/1+30HzSciRMnMmbMGFwul9/zP4Hxp9/nALfffjub1n3HrFlTATzaK5jBV+aUIDcqgbFL+TbGqukHBXikw0KtF6Z5lzijN1V9Eh2rcURqudn1yubkA1tzKU0MZM3OTC5MTGRx37PYcfQoP3z0IZNeeYWy2FiuvfZaJk6cSJcu/nkMTgI06L0u0q3tQle7du7gklEjePLh6Wia5iYW8e4Hpah3I8iNr7GcQu4eLuapQu5H5RRy/yaztPGkbvFkbc6hV5S7+rAgLb68OWbkRiU24nwRX6/njZU/8cU919A8pgnL0tJZ+P2vPLH6F85q0YyxXdow/qJzCA2uO1UwSx//o9CQCk4csAMYjTtWOwfYoOv6w3UYq06/bMvKyoiOjiZ33vWEJ9Z8uDEdqIjvS9D6mayf/65BcKyaXsoQ5MZKvTFTe8xUG3Ucq+aZVpAVHqHgeBMYe8iKjkzw7K59xaZDxOg5dEgMNUhaYXYWJRU6P2S5+GRDAT9nVnLzX/7G008/fdyEsBr4V+2ffp8D3HfffUQc2skD11zisV5kT6XPdpvFBcEQCgp4kx2rejhmhEdAJinNQgMZ1a+F0bQTvGtnyCqOfE6nqeN1gZn3x+xaozpE8V1uHiMSmqFpmsc8D1aXkRVcyjqKaNO9J2+99Rbdu3dvsDn7ixPpXlcVHCfIy8vlrJ7dyN6zg5CCfYZ5eFVGgZEWPrZ7kiMfjdxvyqxisRXMFB0Bu87iKgFSzceqouOPkuMxv7Agrz5XMsERf5PhHbrw1Q+/0K1tC9okNfOYx5HSMj5a+B3zt+xha/5h/nL+Wdx70TnH9J1uRnBkFcefWjh/uoKj63qupmnXA+8BzYC5wJMNdT4zhIaG0qZNGzZn5NOnJnmK/J0Q3xctprbnk1VGETgPS6kkxey9FXnwLrhnXjtHNkT7Ck0V+/ATZ5RrJMd4P0ztCNmQHs1w/1cqc8/O4vxWJZzfKpTS0Obc8sF7PNa0KdOnT7efxEmA4+E+B+jWrRsL317htb400EXA7to+Uwk9krxq2YgQja+KwE4zoA6VVRn7WknaRviqZj9BnoYlRBhkor7DV05q5/SKCiMiKIgLEhO81qcWlpIYEMqIyCimdo7lp5YRXHLJJaxbt46EBM/9T0b82fd6VPVRoqJDcYWHk5GZSccm5t+B23OKSIqI9lovKzFqM03xrz9ER8xJht1DWlV5rOrCyIqOmZJjBzVklbU5h6Ru8WRv+t2D5Ij+W6OtatPs3Motlw/lFmBvbiFXvvwJCW2SuW3McGOOMmFxkhVmVQiwIevjNKh7Ttf1BcCChjyHHXbs2MG2bdsoD7uAUX99jTtHd+SC4ecb22OjQxxnFqnkxlfHbyewIk2CUKjnEETM15ytyM3D35Xw8EC3ucsVYp1mfiwIK8vl+ctiGPr4TG688UaWL19OYWEhw4YNo0uXLseNqlOf+LPvc4CFCxcS1DSGj5evZd6qH/loxh2mn7WqnMgwU2jMKhP7gqyUCOVGJTpuKd6T2Ivzy4pSXUhOs9BAx8epHh3RydwXsrfl0U/T6B4dwnvvvUffvn1Zu3Yt3bt357zzziMiwr8H5YmCP/te/+nnX8jJzePw4SMMuWM6j834B9Hdz/FqqplVVGFZidjOg6MSHTPiI8b2F75CWMFtulGxZ7ORRm5GcsBNYmSfjYCaCSUgiI2s3PiCnMreOi6KlydexHVvfMGFZ5/B8p/SqKis5PywaNq3SETTNK8x7QiPSnQEyWmIisYNFqKqT9RVutd1neeff55pD9xPbNNwenZszqL/PgP5O8n+7g2jsaVdfRor1cUpwXHqbwFvf49ZCEuoOLKCYxaeslNwXCHuEJUanjKDrGCpsAqxrdpVzi0fHSU2MphBKfHExkaz9OcsqgJdjBgxguHDh9OzZ08qKiooKyujrKyMLl26NNiv4IaU7esTxxKi2r59OxMmTGDn9m3o1VUsnz2NPsNGAVC4ZJ6HB8aM4MgmW7u2C+o+AnJoSTb0yoZjs3CVqOoq5ibjvVX+eRrk8/tLjNTwlS8yJz6bj4IOsqekhB4tEzizbXO25hfx865MzjyrLyNGjGDIkCFEREQY93lYWBi9e/duMKJ/It3rdQlRRVYUMutfL/D408/RLD6O/uecyzUzXuD9de57pXdyjEeIypeh2K6tgwxV2RHjO0lZ9tebA7UmZDvzsQorvw2Ykxsr5cQsdPbp+jRu/c8C4qMiGdI7hbDoOJZ+v56Q4GCGndOX4ef2p2v7NpRXVFK8dztlFRWktGlJbNNIYwwZxxquchqiOqkJjsDmzZsZc8kopv1lLBMnTqR05Qw2rV4J1PpOrDKHBNTQjZ3fRsCu/5QZ0bEiOPIczAgO+PbgyOZjNZPKH4KnVnIW85JRXK6Tp8Vw5uldCaxJs9R1nX1l0Sz9KZNvfs1j255sQkOCCA0JIjgogK0Zudx5973cc8899W5SPpG+9I/lPi8rK2PmzJks/Oh9Vr/0T5oMusxozSBgp+A48eIIwnLAxiAskwWZOAmSY0dwRAgtoUcS7775U72Hqezgi+SYkcLMyjK6dm5G05oSEgk9koi5YAirf93G8h2/s3r9L1RUVhIaEkxIcDDZufm0bp7Ic//3Br179673aziR7vW6EBxwk4qfU3/lsmtv5L6Zsyho2cco8Hddv9YMSo429hMZVnbwl+TI6o2Z/8aX98YMavhKkAxBDMyIDtiTGRVOyI16foHDRSVkZufSNbk5AQEBBLfphq7rbN6RztLv17Fk9Tr27Dtg3OdBgYHsyMjk/snXc+ugHoSGOFO8nJKcP92Dc7ygqKiI6dOnc0b7WK6/bKhtiU0nDTHNiJDw18hEpz6aa5qRCSdQM6lk+ENufMEqxHZay9NwZWeRlfaDsS4qIYkY4MZz2nHjOU0Jjz8PwPBCpR+JZNrT79C58+s8/vjjXHvttcd1Ou7xiKVLl/L666/zzVNTiOx8OvrBXbaZVDJ5EBlGTnw4zbvEGSqOOoYdRFsHOTRlZj4W/wrfyx9JcuSQla/PQ8wtb2O2kaXVa2supwPnpbRj1LUj4dqRBLdNMY6prKzkrblfctGFoxhxwUgef/xxWrZs2dCXdVzDjIDYhYAKCgv558zHGTr8AlqcOZjl67wJhBNlxSmx8RdOFRv1AS6THDlcBe4mnSrMiIxd+Mkfr4s4vzgmDmga4Ul6NE0jpVN7Ujq15457HvDYFpS3ly07d3PfUy/y7/9+ymM3jGXsoDN9Kpf17ck5qQlOeno6Yy4cSp9OCbx8Zz80TUMrdtejkh/sVuEmQVzMatWYGZPFvmbkxkqxkQnC0YPpHhlWVllbbnLiqeLYkRqB+vTc+DJcq5lgeQV7jc/CLNzVrnUSH7/8AN//uJk7Z73IF198wZw5cwgPty4I1Qg3dF1n5vRpvPHmf5j7z1vpmtzCax+zJplWEMTC6gHvtJaOeqw47sDWXE4fn+IxL6uaOX8GybGD2TzkBqCphaWkvvkTo/plkdDD3TXaBQbJCQoKYvJV47jq4hHMmrOAPn36MHfuXAYNGvRHXsZxDyvSs23rFm64ajwXDDufSf94ioXbctmXWUjLVlH0To4x9pX9HCpZqmt7hlpC5F1jx98wlJU6oZIcFSU7t9Jy9IUe6+pCCOTzWClO6riC9ECtwmN17srY1nTs25r5885j+bermHrv/XydtofXHv8HwTUp53a9uuoLJ3WIatCgQYzs15YHJpyOpmlUtxhEwP5Vhv/GX8jkRg1fmZEbs32PBWLOcjaVHQQBMmv1oMJpmMqMdPlKc5dT8WVPT3h8skc2m0BZeSU3Pr6AjIOFfPnVUuLjzcuxO8WJJNvX5T7/6quvuPvOKSx+9Hai8g4C7gJ/IjwlF/gTyotKGpqFBnoQEjlMdfr4FK8u3GIfq/CUICZ2Cojs5bEqKCiH0xqS5Ih5mxUGBPyag/gsm3eJo+uEAbg6dvZQcWR88906rrt7Bi++8n9MmDDhmK/jRLrXswuL/CIbuq4zYfg53HjzZKbcOIFtJaFM/98W9mUWAnDpwDaM7Z5E5/AyD4Ij162Rz2en4KimZQGzWjsCViTHjEA4MdM6DW35O0Zdzy0TEtUoHNymm8e44jMXn09RURHXTZxIWXkFc19+iqZNIr3GFOM4mavTENVJGwP46aefyMjI4N5bx3nJYoKIyIsTxEZ71ssRPadkAmBGFGQCUJidZSx28OUJcgK5j5W/vausPhe7XlzyMaIrukzERAdzXwgNCWLOjNGc27sDA/r1YetW3ymIpzJmz57Ng5Ov5bQ4t/fA1bGzx3ZBEuT+Ur2iwmxDSnLauBm5EbAaQxACuz5RVmPKSo+YS0PjUFmV8ZlYXZM/BEsQNjUEp2L4wH4see8l7p16D7NmzaKysv4aLJ4I8Ccbad13qwC4/qZJHqTlUGbtfZQUEWw8nMW//vQuAmtyY7ZNnofoVi7D7AHtNFNIHs/stUoorAoQOj2fPIbVcSU7t3r4gsT7ij2bTUmRGC8iIoJPPv6Y9q1bct6EW9mzzx1JacgUcTiJQ1QVFRUEBARQXe3dc8cMVqEnAV/ZT/54ZATMjMryervaOTJRcdrawQxm1ysTG/drT1KiztUJQVS7mQvo+TtNVZyAuE48dX8n2rZKZOA5/enZqzfDhw+nadOmdOnShaFDh/o856mC8vJyAqITCW6bgmrPtqp5A95tC1QDMdQ+qFWFRd7HSdaSVfdyOyOzXWHBhoCq0sg+HH/IjXpNxTu2eYSpVPTs0pE1yxZz7aTJvPDCC1x55ZUkJyfTtGlTxo4dS0xMjOlxJwtkkmOn6FRUlFOFhq7rll6OrKIKiO9mtE8QaokwHFuljjuFUHDEuZIigr3aNtR3qrM8npkqJUNUg/YX8niy+iLOp5IXX8TdbA5hhw/wysz7eeaD/3Hm6Ovp27Mrg/v3oUmEi65RwZzTo5Pf8/aFk1bB6d+/Px06dOCdhT8Z/acA47Wqxgj4elgL1UYN1chKjhjbrq+VCpnU+II6bzN1Rl4nz0ddnIwvI6+gnN3b97J7e91SeAWOHkynJCfDfKP0/zX56lHs+/5t/nJZX/L2/Eja2q+4+Yar+de//nVM5z+Z8NBDD/HoU8+a/vpP6JFE8y5xhiIjZzWBp1IjYEZqDmzN9SI+8nF2ygd4+3UOlVUZnhV5fHlR52k2vnzeY+lSbjamOkenx1qhQiq4qKJFUAkrFy9g2YJ5xDYJZ3fqWr748F0GDBhAXl6eX/M/kWGn6AwcMoygoGD+t+BLY13v5BiatYqjZasoUpKasD2niFUZBWwrCSU3vpsX2ZDJTaf4CL8L+6lQyZKVkuLvPmb7y4u/MFN9/D0+uE03ry7oguhYqTiCZIr1mqZx999uJz3tZ6665lqyi6v5bfsuJj72f7z91bd1mpsdTmoPzhtvvMF/33+HZXNfIqD4ABXxfQks3kfpyhke++3ftMZn1pNaD8afdg1WsCIzojaPbHC2atAp9reCnSLlJNXdan5ibDPvkZWipLaEEJ9leHyysY+XmmOi7mxL38fgq/7J7wcPOaonciL5Eupyn1dUVNCyZUu+/HgOZ7WKco+V2B794C4Kl8wD1DTT2v9jtV2CqtSItG0zr4w41kyF8UUKfGVfmdXlMRtXbZhpdl4z9cUpGTKyo6LCHLWRkP034Fn/R4QOrZQcLbG98Vo/uAuAcbfdx9hrbuT66693NN8T6V63SxO3Uln+88oLbE/9iXf++yEAqzIKeH/dXnonxxjqiggjpSQ1YVBytKEm+EoZF54cuxCV7MERMCNldVFRxBz9gXw9VunrdT232RhBeXu9GoUKiOrIvmBGsn5c9j9uuvsfpL79lKNU8cY0ceDpp5/mwguGUhnegiAgsHgfVa6WuPpO9tivQ3wyO1d86CjUImc3mUE88P015trBu5WDPRlxmvotj6OmujuZoxy+Eue0+ww9iY/7OLvPUs/fiQZeJKdzu5ZEhAeTlpZ2XPUB+rPw7rvvUlVVRXyrdmiJ0egHd6Ef3IWW2J6oEeMAcHWsVQ+yN71tvG7eJY7UdfuB2iq+ajfwhB5JRnq4Ckv1B0/yVFfI51WrHNvNQ4aVgdgJZPO1aCNhF65y0oG9YneaJckREAR15Hlns3TpUscE52SBWdgqITyQ9/79IrfcdrsRpuoUH2FkTwliImrigJuIRIV7jquSHNVsnJLUxJbkHKvqczzCjFiZrYuKbY34n5FJjlNyY4WzenbjUP5h9h3KoyW1qeLHWt34pA1RAbz99tt898MGho0aw/4j7gdwYPE+KuL7UhHfl2pXc6BWNbAK2zgpyudrf1/HyBBzsPPgyOexCzeJ/WTyYled2Rmpsd/mbzf0kpwMI1yl5+90dMzQc3qxdOlSv85zsuKKK67gpptuol+/frz54TxjvSA5Zc17ENL/UoLbplC8Y5tXSnZdTbyiHo4ZrLwzIuwjYFZczy41HTzJjVOiY7ZeXed0H1/hOCewC1cJggowbEBfli5dyomgtDcUkiKCSYoIJiAggFffepvPP/uUqy4fS35N6E72xcjkxhfssqhSkpp4jOsv6qOLuROIz6YurSPAep5ZRRUei7y/Gq7yB1ZkRW/WlvPPPZtVewu8tqlhLn9wUhOcgQMHsmHDBoaNGMm5Qy8iNW074CY5gcX7AKh2Nad4xzKPDCCZAMihKbHIIRUrqF4d8K9YnxOY9arylcVlR5jE9duFzqzWOQlRgTf5kbOyZJJjmI9NQlQAw885gyVLllie51RC06ZNefrpp/n222+ZNWsW0175r6W5PjctnV/mppn6aYT6YFaTRlV1oNY3I4iOWZVjGU6MulbZVnbZWFbrVajERG4yKhuv7bqpi33k8cQyLCHCg/CJz0qEB4t3bDMW8CQ5cnhKRrvWLXC5XPz2228+r+9UwODzh7Li+7V07tKVEUMHs/LHX41tgtyItHE7OG2yKYiOWORqxnI7CJUIAH55Zuz2MxvbClHVRy3DU04Jgq9zqSTHF9FR/T9WfqLzR4zkm+/WNhb68wcBAQHMmDGDLl26cOFVf2PX+i8IC6ttShZQU/hPDZ+oPapkM7F4EIvsKTsSEx6fTElOhldbA1/tIXypN+BNOOxUHDGemvFl7edx5vMRn1tsdIjXPlZKjtk85TkJAmkVogI4f0BPbrz/JaqqqggMrB9z6YmOlJQU1q5dy4UXXsjrMeH85Wp3eCqsqhhwP1CzN2XVkgHJVyM/mNVqw+BJbNSO5ILkyOvlUE59mX/l8VTvjYBd7R2zmjZif5WcWalIakNQGWbkxqpsvgqh2Jhh6NChLF++nB49ejga60SHla9EIKdM57YHZ1Id24LHb7+Ov7zxFQHKd8C+zEIjdGVVB0f26oCb5Miqjtl7qzmp48uhMDXTyh/I8/XV5NPOd2NFbkR2WV0hF/8zg6rYiHPJn43AkPPO5dEnnnI8lhOc1AqOjCuvvJLTz+jNR4t+pMpVWxpdhKkEcvPKPVQJtW6NSmBUo6zst1EzhdR6OCrMlKP6gmzqVedgVvPGqk6QWt9GZGnJsKu3Y1XZ2R91DCA3/wixsbGN5EZBfHw8Tz/9NC/NmQcJnv/fwvdhV2FYvPZV+VhkZ8lj+DpGVTycEh8r34udamMVOnNasM8s/CZInKxYqepVQo8kn+RGrlNkF6oSyMnJoVmzZj73Oxmhqgny++GXX0uT6Fi2rzfPvtmYkc/2nCJLBUQOQ8lKjpxdZabsqATMLERk1cXcSu2pD9Q1w0qoPoIgydcirk2dt1BxwE1ynKguKrlR1+fm5tEsNsZxPSEnOOkVHBn3338/1113HYP7tKVN6+Zu9SZ/J66OQ4mLXWnUarEOsbhVEJnkCNJQkpNhqDWySuLLlGwHXxlbZqqJE5OwPD+5MJ8/3hmn6oyTnlxm2VSgZFQJb07NulXrf2ssb2+B8847j+jYOB6d9SwPPXCvsV5LbE/XCQM48PACb7OuFLISJEdVauT3sqIjVBA7340vMmOVAeXrGHkO8jo168tpPR0zUiMgm679hUxqzAzGwlSsQtd1Vq1axQsvvOD3OU8kqKTBiiAICEIydtIdvDnrYVp07kHv5GZszMinZaso9mUWsi+zkPfZy3X9RMuG6Hqdr9OaOk7JjJlypZ7Dl4oDnoqVIC1qM08VZvWC7OB0XDuo51i9Zi3nnHuu8b4+6gmdMgoOwJAhQ7jnnnu46raHPE17MR3oce5g46Ht60FvRVgs67qYwI6YyFDDSXaZU75UH5l02Z1TwKwaMXh+PjJpMSM3ZjWBzDLMRNsGeTEgG4/zd0L+TlZvSGskOBbQNI358+fzn/c/ZMWq1R7bokaM4/TxKV4P8rpmO6n1cKzgJPPIzv+iQvbkqKZj+b2sSpkV8pOh1vqR4S+pkVPD5fRwq+wpqxDVlp27adq0Ka1atfLr/Ccq5Ae7E/Nsv6GjGDr6cj5/9kHLfdKyjniFl1RlxklmlGpKPlYVxu54uzBdXZQgubqz2eIUansK8PTY2JESVSFS5/7dmh84r2dHx3NxgnojOJqmrdY0rb/0/gJN03ZomlakadonmqY1qVkfoGnaB5qm5Wqadk99nd8ppkyZwpGiEr5ZX0Mcah6krr6TiY0O8Xqgmz3gZZipK0cPpnuEtsR7f2BGoswIia8MKvU4db7iWKfqjT+tHkS4z8y/IxuwrXpSWaG6uppV63/jXInt/5E4Ee71pKQkHnnkER5/7iXPuSe2p9WYUUBt6EcuaCeTA9WLI6s54rVqAE4tLGVpdpFlU0onoSEzOCnmJ8b2RZLkQn4CdgqP/BnEpbQzFgHRJV3eB3BEbHzh2/U/nxL3udMwj4BMSC67dQrZe3ZwYHutEbtlTT0oGeqDWQ1HHSvMQju+4IuoWG3bnlNkLP4QrYo9m43FH4jrcdJ7y5/xBCorK/lh3QbOHn5xncc0wzETnJqb/lVgoLQuBvgQuBdoCWjAozWbhwNbgFbAEE3T/ph8uhoEBAQwbdo0nn3hVSNVXCwdhlxl7Jd9RPPo1i1DJQm+sqPMyI0IL4nFbB+zca1q4KihKbP+V1awqmzsq3+VVSVoX+niMrGxIzdWKeOzPk7ltFbt6dLF/zTFY8GJdq9fffXV7Nixg+9+3kxpYG0Th+C2KST0SHKklshEpr7bJvSKCmNUvxbG+PK/ZlAbYKqv7SATNydECzz9NDJy09J9lqo3K+qnJbY3FjsIX86Bg4d4/NX3ueGGG3zOtT5xPN7nanhKVlOCg0MYMP4mVn/0OoBhLhYkZ2NGPvN/yzIK/cnkQB1LfV/XOdZF3bFTiGQyoO5n5zOqC6wyscyUGzPYqTmq30esmz7zCc7q05ukxIRjnL0n6kPBGYjbyyNf/aXARl3XP9d1PR94ChCtcjUgsOYYDfjDCzxcddVV7Nq1i/UbfvIwHGvtRtoqFGamYyvIhMPfpp4q6urh8TWWPxWRBeSsKRVmXcTlfcVncvRguuG3MSM3Ik1cvJbxxcpNvPzeQj755BNHVYzrGSfUvR4SEsK9997Ls88+67FeS2xPXEo7mneJ81BERMNJGSqxMSMg8jG+KhSLDChBbJzALIXb7PWwhNpf4rLx1yr8pnZQF1Cv0Uy1keEkfCU8NnKNG3CTGbGI9wBHjhYx/o4HuOOOOxgyZIjP8esZf+h9bvVANVNArMhHn5GXsyt1A0d+38OX3+3x2r4xI59VGd41VuRxVaIjICs9/pAflXA4UXXqSq7MYPaZOjEEm5mVfVVGdpoSL4fFxP/7nI8+4bN583j/qQdsj60Ljpng6Lo+Xdf1mwH5W6En8LP0/jcgsYbZLwG6AruBJbqu19//qEMEBwe7v/hffA3AIDkV8X3p/aR3LNzKeKyGoeRUcvAkOerxUQlJlsqJON6K2NipN3aQw2X+hszkUJ2caWa1n9pFXIUo7ifIjLxY4fMVm5j8xDy+WLiYli1bWu7XUDgR7/VJkyaxdu1atmzZ4rE++rp76TphgEfhOjNPCpj7WlRYKSnDEiI86sTI+8k9r9RsJCuPjS/IJuP6qKQMnm0urJQbOXNK7eYO5h4bNYNKvD9cVMKoG6fQs+8Apk2bVud51xV/1H0uHnDqA89pm4G0rCPGEhLuou3540n97D8cysz1qIUjXsvVie0qFQuYkY1jCWeZqSzqOczGV43GdlleTlUcleTUxdBrFaJymskVlLeXD978N9MfnsnCt54nLqb+TODGOep9RDeaAobjVtf1Mk3TKoGmuq4fBa70MG3S5wAAIABJREFUNYCmabcCtzbQ/Ljpppt47LHH+HVTGme0jzJITokewahJt/Du829yqEgjoUntjxGrmi+x0SGWhCEqIYm8gr3G8TKZsap5YxcCMzuPk5o56vFWNXSssqkEyZO3ybWCnKpTdplhZiniQuH5bFkqd8z6nEVLltG7d29H5/qDcEz3ekPf5y6XiylTpvDcrCeY89Zrnts6dgYWGO991ZOR18kF/sR7GbI6YtXOQcCsz5UZrGrW2O3vBE7Gy01LN1Sc3LR0r5R4VcWRQ1MykbHy4oj1Ob9tYPTDr3LG2efy8ssvExBw3OSB1Pt3ulljRvGgVeuziIe8mYoiCvyFdhpO/uIbCe14IYcy4VBmLs1auf9vRVZVSlIT3l9Xe161f5UM0bwT/Cc2TsiRmWJkdj4r0iJ/FttzimznKHcFlzOfrIiNr1pE8rFqjy+r/dX/77c//ZIZs1/jm/f/jw5nDcK7VfCxw+dfj6ZpD2qaVmmyvGVzWAEQLo0RgptMOa6jrev667qun6nr+plOj/EH4eHhTJs2jYdmPmGQm+AdH9A0dwVau5EkNNFpFuEmN7HRnl4Uudmkk75P6vFOUrnNQmH+qi5OQmOCtMm+GTtjtazQqPvYmbGtIBMdNQtNkJu53/zCX5/+nMXfLG9QcvNn3OsNfZ8D/O1vf2PZt9+xYfMuLy/O6eO9a+MI87Gceu0rrCSyoIRaY+eNkcNeTnw9Tj0zYu5mqo8aOhNqVWphqVf3ckF4ZPOw04J9KpzUuRH7FRw+wsUP/R9nDhzMK6+80mDk5nj5TjfzacgPQSs1x+xBvi+zkKDwJjTpOoLsVW+Qn55Kfnqqsf1QZi6HMnM9yI0vyKTHH2+O2X5pWUeOyd9jdg4zL44VhEomPm/1s5dDTIKs+JqrHJKSs9/U85rhzY8/ryE3r9ClfRvb86jz86fWj8+/IF3Xn9B1PchkmWRz2FZA7oLYFdih63qJ45n9AZg8eTJbtu3kuzVrCc5Zz455j5K94H4ABo8eQdfkYA/Fwiz0Ivd5slJR5HCUFXyZhsU6q35SMiES+8nnsyrcJ65PJi3CYG1FWMT27COaY+VG+JfkUJ58zcJwrGJXZg63z5rH10tXcsYZZzg6V11xst7rTZo04cEHH+SR6f8wqhpDbUbVqH4tvArbqeEqucideG/mzVFTva1UGXkcM8hjqO0VzMiIL4isKZUsyUTOCtmbstjy0Rqv9XbGaytio3ptZPz14Wfoffa5vPjiiw3qLzve7nM1zfhYsnOadL+QqvwMqo5mA25iI+PnNemOWjkIqMqO/NB34hESITQz2GVwWZmgfUE2HMtkwFcKt4AaChNQSYVctM/O4CyfU7z+ZfM2pj/3b5bN+Ted27UBfPebksOX/nRKb6gQ1efAM5qmnYs7VvsE8EEDnavOCA0NZebMmfzjoUdZ+c1CWvQYQHh8MtWu5oQNfoQezGD/pjVebRs8Hvzb93rVoFF7P6nkxV8lRhyjkhurdg/yuUXbCRVmoSWrrDEBMy+Sr75T3tuzvOYtCI9McIR688CrK7h76gP06tXLdm5/Ik6Ie33y5MnMnj2bpT9sZNjZtSpYSP9L6TMdMj9fRPamLDdhkLwrZqEqleSoRfas9lPX+3ovaoyLc4jxzfava4aXL7VJhghTWc1b7CPgAqPvlLGuY2fTkNW6X37j2x83sW3bp3+Ged4J6v0+tzKyqg9is3YC4uEryIMo7pfYriVFvcdxeMcqXD0uB7xJjvpeVDRWiYhYl5Z1xKOdw7HA7Hh/VR15f3nOclXmTvERtaQjwv3ZOWnLoPp9BIkzIxUiIw1qr8tXIUJd17nnoSd4aMotdGx77IX8fKFBNFBd13OB64H3gEwgG3iyIc51rLj66qspKiljwVeLCRv8CFq7kUZ/qrDBj9CixwBjX1EnR4Yw3FplV9WFzKhQVRe5hoyZaiTOKf6VzcxOw2qAoeKoISnZlwTWtYLkdXJ4z+ozEcZjYT5etWoVGzbv46677nI03z8DJ8q9Lsj8jBkzvDpTV58zweeDG7zbN6h9m47V0Htgay6L1u23VIZUz49KmuzUHKsQl6ig7HTuViZjtRYOeJMbM1TsTkPXdaY+8QKPPfYYkZF/aCUBx/gj7nN/Qg/yQ15OC2/ZKoo2Q8dD+REqCzKNMFWzVnGGH0fGxox8g8RszMg3/DyCLNh1FTdTLVQCIzfqrG/YGaVl5Udur+AEarjJiWLilKQtXL6a7KMl3HLlGK9tTlUmf1BvCo6u622U9wuQHYzHKQIDA5k1axZ/++sdjFw2hwiA/J0E5O/kcIdbaNpxKG1r2i0cPZgO6e4sHzm0syWjggSpN5MdzAzKYB2SAgyTsgzZu2Kn5Mh+Iav51MIdnjpU5P4F2SxCJ/uI5kVo3H6i2vcquZGVoIQmuoeSI38+dsbog/nF3DBrKbNfeYfw8HDL/f4MnKj3+tVXX81zzz3HB598yjVXjjfWh1UVE3bdvXTlGcD9EO8lqSb+tDvwpebIkENNhknXJiXdzoxs1yQztbDUq7CfOl87mKWBi7YVajuLuuCxl9+iOsTFxIkTj2mc+safcZ8XBkRaPlCdtEYQZKdg+E1kfPM2gb0n1pCcXpwxwNNHZZZpJWrnCKJSn2nbVuqNlcHZ7jinkNUcu89PVV2ctGrIItRjnWx0NlPn9m9ax+3Tn+KdZx6GhHYNYipWcUr1orLCqFGj6HPmWTzy4oc8df+NBMipyjEdSBh4C3r+To4eTDce0H3HXg/AorfeICNfIgVH3DeQIAUq4REVfr2RRYseA7wypqISkmjbqTWF2Vns3r6Xtp1a+8yqEut3pB/1mIOZb8cOh4o0w2htdi3gzFjsax85HT48PpmSskrG3vM510++m3HjxvkcvxHOEBgYyOuvv86ll17KiPOH0KxZvMf2qBHjjPBJ801ZNKf24e7RhRxvIiGUEF99p2SyYEaYnISbRAaXPIYVsZLn5qS5p3y94r3InLK7FrP3KszSxz9avpa3P1/C2rVrGxvH1sDs4Sj3SDJ7SAtiI15ndh/M7+v+R3nmBkJb9wPcJEaEsuyQktTEqNqblOyZumxHEMQ2f+vlCAj1qHdyjBEWsyI3ZuE0eb1MkLxCVjYw3SfCnHS6SZCzay0sPMzFE2/j7stGMPScvn6TG9kg7ddxfh9xkuLFF1+kZ4/uXD52NH1buv0fkSXb3N3GXc0JABIGdiBB1PaM6YCevtj90N9bSXE5uEIwiI5MeFQVQ6gkbvJQq7CoqdNyGrlQYlR1R4VQc9QO4G07Wd8cqkdHJjUyUbNqpGnm3VFVH3WOVtiWmU+/v37GZeOvYsaMGZb7NaJu6Nu3L9dccw13PfAPr7RxLbE9wUBU2xT6qJV4Zz8L6/Yb+wp1R1VA5GJ7YP7QF4RBVmKswl9WkLdbqTBWZEmoUuo2MR85XOc0e0q+TtWrY4WbZr3Bkl92sGLFCpKS/G/geTLCzP8hEx7Z9wHmD/a0rCOMPrctca6ZLJ95A5FnXAq4vTcijKVCrBNEaVVGAZ3iI0iKUEI0EdZhHn9JjtX2jRn5xjycEiUndX3s4Iv8qMpaUN5eomJbQ0Qk23Psx/5l40ZGXziCWyeM4c67p3iMKUMlUXZlBJxCU+PxxyM0TdP/iHm+9tprfPThHJZ+/AIB+1eh5+80zK7VLQYZ3pyK+L7GMYHF+9B++w/r57/Lqs1uoiPgkvhAswjdeOinZQV4rTcjEOAZflLDTWpoSiVEcljIjODIREhkTwnIBEUoN2YERz1OHCvWmYW31LCcrOD8Y85mwlLG89RTT3nNt67QNA1d149L56aMP+o+LyoqolOnTsz77zv0PdM77V4uSie3FShf+6VhRlaVEwGrDCordcMuvOOrPo5ayE8Op9VlPzFPlZzYtWVQu60LmBEcoeAU79jG4bgkTp/8CJmZmfXquzmR7vXsQu+Ht9mDViYO/j7wP3r1BX7fsomm/W8D3F6cSwe2MdQSgd7JMZY+GbVRJ3g/jM38Lb5Ig2oWluckCI7ZnJyQGX9DXGrlZhVWfagqY1t7pJabhbbu/+stdGjXjgcmjjbWyTV0ZIjCj1YQx4XGJDq6zxsVHAklJSU0jYqjytWSgJgO7prjEskRxObQkVAiI4MI14qocrWk5KxZdD1rFv1yV5C94H6++mYXh4o0D7JziNoHfrMI3VB4ZKjZWlYQ+9kV+LPr8q2GpsxCSFbVm+U5iP2yj3j+IfvKxrK7zqW/FfDOjMttj2/EscHlcpGbm0usReVQQWpEzRyRWh7S/1La97+U9kDB+8+4U6ctlBY7w6/c38qOvMjjqAQpLqUdCWnpMNc73VoNM4nMMCdzE7AzE5vNR52bCpncACz7KY2hQ4cet6biPwLyA9POAKuSG7MwjID8cE7LOkKCS6M4PpZ4yWC8MSPfCFepGJQcbZxv/m9ZxjhCVZGzqTqHl3ldi1qcUMzfLLTmhHjIGVxmxEZWe9TjoLZYoV06urq/vM2tYtk32YyqPkpUeK3KI38GUdVH+Xrpcqb9dzxOcaylAmQ0EhwJ48aNY+bMR8nJzSWxJiwlHtUBxQc4Gu7+koqMhNkXxvPgotrCdMMTJzHiprE89NQKrk+Zyc4VH/J9apFBdIrLAekek8NAYF5B2C6UUxtW8k67FtvNWkCYVRAWZMasarMTdE0OdrS/nQFbzCswQCM42HcX3kbUHZqmMWHCBN6d+wX/+IdnbRwVVtuir7uXPh2/pOuObUZlXzX7yVcIKrWwFExIjllYSRh6RXhLEBD1WFWB8SA5fkCMIa5NEBorYmOm/AjI3htXx84U79hGYGDAKX+fy2EP2WMD3s01fcHsAZ6S1ITsQaP48b4b6H7FFILCXOzLLOTnNe57R6SLy9lV4oEOMLZ7Ettzinjy002A28OzsVWUQSiSkqOJy3F35bYLnTjtP2WWqu4LZuTGKXx9rupnKpOOij2bCW7TzSNsFJezmcrY1l7qViA6wcFBXmPJ+8r3Qn2RG2gkOB5o3bo1V155BX/5+wO898YLNHHV5NHXmI7DtSLSD2h8NMn9H/rEqGQeemQSQTkZrF2YjNYuAnLWc/isWXRsN5KoBffz49qdHiEpX+qGGXxlSUUleL6XX8sk52hNNphAYXaWFwlySmzkbDB/KxjbqVSu0CCKi60fuI2oH/zzn/+kf//+DBkyhAEDBngRmdJAF2FVxegHdxmKjtpPKaT/pQS33QXMM9Z5hIMchIYEyQHzujkqUZLbJPgy+ZoRHXkfq3YLgjw58dHIWVRW3pviHdu8DMau0JDG+1yBkzotYK7cgPkDO6FNR9r26sf+BS/Taqy73ER+eiqlhYcIi2pW8x4OtevFvsy4mrFrQ1Lbc3BkTPYHVsRCre2jwkrJUcNtAlbkx6wYoT+o2LPZ+FeQHAHVJxOUtxdXeBjFJfbZinap6Mei6Bw3jU6OFzz33HM0aRLJeSPGsDO7Jq00pgPk7yQ4Zz0dozONfR9clMG7z7/JptUr3WGs/J2Qv5OjRys5HDeEZilDiIsNISWp2lBsDhVpZOTXT4hc1J/ZvX2vZUsGs3Wijo5cgdmMdMjtJUQxw9rUdfN2DXWB3KQ0NKCy8Yv/D0CHDh2YM2cOV199Na+++qpRG0d0uzZTbgTR0RLbe7yWH96C0Bwqq2JptvcXuVn1X3GMXWVgMK81YxcqcnXsbPSPSuiRZElu1G1q53C7VHCxXiY5vuDq2JnwRoLjAX9L8AvYVQMWuOTOmZQcKST15TspP5JLTLteBrmxw6qMAt5ft9crhVzObpJ7PB0rZCVHQJxLvkZ5uxW5ETAjL/6knftSnwTZkaFWJQ4L0Dm8y3s/p1AJlD9oJDgKXC4Xc+bM4cYbb+CcwSN56q0llJfXyqUBxQeY/tn3TP/se4Jz1pPQRGfxL5XsmPeo11hau5HGaxH+Eb4cObUcPAvhCciFA81ISPYRjbSsAFZtrmRLRoUt2SjMziIysZ1HSwRBdATZsVJzrBQXu5CTaOXgD44eTCc8JJCSkuOmy8FJjZEjR7JmzRree+89Bl80js1bt3mYisHTZKwqOMKjE9L/Uku1Q26PYGdIFjDrMJ7QI8kgPyoB8uWJEeRLJS1WkPeRiZuvFHB5LmYo3rHN8N8U79hGwKGsxvvcBvKDVTzgzRYZqv9GPNzDIiKZMONl2vcZyLY3bkf//Tui23Qnpp13dXRfaoaqihQGRJIb381vlcGuhQPUFgiUr8nsms1Umt7JMbYmZTGW0/Wy8bdiz2ZKdm6lZOdWy7mrCA8NoaS8nIo9m00JkYz6DE9BI8ExhaZp3Hnnnaxbv57VG3dy+ugHWLnN/WVU7Wpeu2P+Ts7s7zYgRyUkuZWemA60aO5m+hXxfel3kzfxESgur00nl9UQuwaZctdvM5hVHhZjHT2YblQKNuv7BOakRU5RV0NlQuXxVeBQHc+qonFZZXVjPZA/EO3bt2fDhg2MHz+e80ZeygMPzaQ40v+U5agRdatXJPeu8ij4h6eyYua1MUP2pizDo5P5+SIyP19kup8YW1VnZAWmeMc2n6TIbB7yGGIuqrJTVlnVeJ9jby72pR443QcgICCAwdfezi2z/0vggR85vOIxkpNK6HTe+XQ673zDh/Pld3uY/1uWZQE+cJOT+b9lsSqjwFi2lYQanhK7vknquFZER5AZs+vrFB/x/+2deXxU1d3/3yf7BiF7WBNC2LfiRrVu4FZb6/q4tLa1rcWtWqVq1dq6VB836tJWa63i059UbbXWvVrXqpSCGyqiQEIgECAJCSGQPSHn98fMmZy5c++dyTKZhfN+veYFc9dz75y588l39RMuStBYhY01YNjuOPq2+vbFmclMTe/0iZtQxAng207ftqu7h0Rv49jk0hlBj+F03IFg0sSDIKXk2Wef5YrLf8oRXzuUm2+4jgnjx5HYVkPCtndpq3iTlroqCmYuQOSU0zv2SF93ckXS+7/mlaUPA54U8TYbbVKSI22LA+aOSvErAKingNulZ9uhUrP1oGVlzQFPiwS74+tjcYubsRYvdEsR11Fj0uOCJl38Jh9+toFx4/zv4WCIpdTZSH4fd+zYwVVXXcV7773H7bffzqmnnkpCQoJrELKOrNtI1b2/4RMts0l3WUFf40xVQ0cXN9PP8bRF0cVA3syygEaX1iwpO5xStvX4Gqd4HjdRo/a37udmSVLrpp9zmM8q9LtnXqM6MY/777/f8VwDIZbmul2aeCjY1coJFpSsZwlJKXny8Sd47ZEl5M06jGknLyItOy/AFWWHEhB6UT7FabOK/TKrFHpjSjfhZJfa7VTY0O0arceyoltprL2knDKmdIHRXrmO9PJpjsfX1+/b10vByRdS/fTvGJGRTnLpDNsUcbf0cBXro+jJnWDSxIcKIQSnn346xx9/PLfddhvzDz+WM884lWuuupwJY48kI6ecjKZK6pc/zIcrPSLmuIe2+h+j7Osc9NW3ATgI+HBlJR9s8Tee7WztK/5XrxUH3LW7i+y6qoBaOPp+0NdWAeyFjmc/5yKB1gwrO2GjBzsHa/QJBLR50DPFVJCyHiBdt7uTrp5exo4d63pcQ3gYPXo0jz/+OG+99RY///nPufPOO7n5uqs55aQTQ2oAqbqT+1X+fXqtn2tKCR19mRI31kBcO8uHwq4WjwpiDuaucsLOPaX3k3KLrwlF6OjnX1O1lcPPWOA6HsPAsCuyp//gCyH4znfP5ZSTT+LBu+/k3ZvPZd4Jp7PwzB+zYU/fc9maSm7nDlJCp2ZrMx9XN3HLN6czs73Ct94uu8ot7VuNX8dqxalt7fZrJaGOYye6FE6p9fq5QhE3gE+8KDeVLnbUMiVyNm6voygn2yduBoJ1v/64sYzACZGsrCxuu+02Fi9ezJIlSzjosIV8+6zTufpnP2WCdz4p0XKcd5/EthqPNaepkoKZfQ+zbxy+iLxHf8Wrn/QVrPbF5nTpPyQeQWAVN7q1xJpuDoEWFCUsrFlV7Q3VAfuqDuQKfR9d0DgJLruxOFmWckel+Flvvti6hzlTxkVrN+X9hoULF/LBBx/w4osvcuONN3LrXb/hF7+8gRNPPJH0Xo+rVs+u0lGZVRmTtfo0XpGj94IK1tLBSUwo4aCytayWIcAvrTtvZpkvNduKW1xOsEaZocTk6Ntaz/P5phoumTMn5GPEK07ZM9a/7vXlobil7KwU1uXkZ/KnB35L3Y5rePT+e3nwgm9yzOnfoXP2t9i5W7BzayM7tzb6igM6pXHrGVbPfl5L8fwZ5DV43DTJQLa3GJ46vzWYeCi6lVuDjdUx3eJ8rPfRLk17oK4hxZqqrcwuG++3LNSKxFZLz0DSyI2LaoDU1dVx11138X+PPsq/XnqGg8a0Uf/iNWQVlZFxyIW+7XozxviqIgO+ooHklFPvTSOv3xuYWZWR4hEv00v8J6Fd7I3uqtIDl/XqyUBARpQSF+n5JT6xY3VVKexcVG5p4rqwCeaaUq6y+/7+CZuS5vH73/8+4HiDIZbM9tE2z3t7e3n++ee58cYbmTt3Ln/605/65bICaH7tH3z51xU+UWIXc2MVIk6uIEX9mloee7fvQVeQmhiQhm49to5VwARrrxBKdpQT1vPv29dL/mmXUV9fP+SF/mJprnc21fV7v4FUDLbiJJC21dRw+1138dKzz1D2/XvY05rq60aeUzaXexYfDQRWHdY5oCSH02YVU5yZ7FcjR3dTWbG6iUIdr+7ycqqC7NSzSo/vcWqR0B+3lNpGJ718Grc++y4ANy++yG+dfk/s3FPBKh0nTjrYuKjCSVFREXfffTcAt9y+hAd/fzfFZy/ztHNoqvSLzZHAzrUeF1XBzD6Rk3/2Mk6c+Sg7177Npg1b+LK620+gWC0fToHFemsEHadj6e4qq8gAAooBWjugq2VuWMWN0/Z6HNBn7eXMnz8wM6YhPCQkJHDaaadx6KGHMm3aNN765/N844TjXPdR1h1l4VFFAbef+xufxeUrZ850zFjSxYRTTMv2dY22HcKtWVaFs4t9x8vQ+mtleNfbWWrs6uA4Ndx0w0kwVdTUUlBQsF9XMR4oodbK6c/xwPNDOnbcOM668tdU1DZR/c4yMmZ/G4CO5p3sWP0Gt//dY8kBj4hwEjkewZIJ+TNc67sogllt7GKOrKjxWN1TusixsxI5ja8/lhu7jKr08mkkl87g03VLOeekE2z3czr3QJpqOmGyqAbJDTfcQFn5VL5y8JHc+38vI6WkfvnD/Pv51/jn6xupfPtJdq5925eBtHPt2z5rDoCc9SMKD1/EIaedxzeOm+RzOal/rRlROnr2kpMbaGervYvIKlhETjkip5z0/BJf2rjTtqG0k+jv9u9vS+K1117jlFNOCbqtYfgpLi7mySef5GfX/pJvnH42m6vtzcTWVHJF8sSZHHPTt3zNOD95eq0veDiU2Bg7sTA3O41jCzM5tjDTzyrkRPLEmb7moer/TsJqoNgFPuvnkFJyyX3/jwsuuGDQ5zJ4KM5M9r36i51YOu7HVzMiZyS1z/+c5J4+EfPZC39j6ZMf+W1bs7XZ91IoAVHb2u2r7xOK0NHZ0NDqe+nUtnb7CR6VUTWzeESAuNGFjTX2xhpvo9ch6smdQHLpDL+Xst7oy+xIL5/m2/bFN9/lsy8rOP6I+QHbDSQdvL/3EIwFZ9BkZ2dz3333cdFFF3HE4YdzysJHGVNUxuSyWiaDXwYUeCwm7Q3VZJTha96JV1xkNVQzvWQLVPdNYKdO3XrTyj4LS+hF91QvKz0GBjxCJx1/K441OBj8RY/uggql8J9dkPPz/9nEFVdcwZgxY2z2MEQDJ554Ises/YIrLr2Y2+++j4d+d0+/9s+YPJVjbsLnrgLP/6efg2ucjN3/IXgzTt36YyeiujcF9rFyc1U5WXF0N5ruFrOjfvce1m1v5L3rrrNdbxgcTllHbljdR5nZOXzle9cy8egzeOe2RSROOwORlArAjtVvsBSYd5jn81XtHtT/a7Z65mKfoLC4gjKz+j0+t15SEFj/RxEsrsdO3CkxZq1GrKNq/iSXzqB78xekl0+zdWH949W3uO6SH5I7KjtgX3VcO2uNvnwgokZn0BYcIcR5QojNQogWIcQ7Qoip3uUnCCEqhBCtQoinhBAjvMsThBBPCCEahRBXDvb80cK0adOYM2cm62rayJh8DOULvs3k03/lc8FkFxYzdvZhfa4gb9VjH/r/Q0TVk1GBwHm5Ka6p4uARKLrLSQkZ2VTpe6l4HCVmQkkVV+uD1cSxiht1rk2N+5g8ebLr8SONmeuQkpLC6Wd9m4pKe0uNG7rF5NPmDl5ZtQ0IzXKiZ1Qp8aAXAtTFjFqu01ax3k/Q2Ikb3VKUMXlqgHXHLfA51KDjTTt2Uj5+NAkJ0Ws8j6Z5riwL6sd4qNxTyhJi1wBTWUOyx08mvWACsnOP3zY7Vr/BW395ltUrqtix+g2/l7LyLFu1hbW1e/0sMEm7tpDd2+JqaVKWKL2on51A0RuQ2ll69OtRx7Xb3w2rRUe/DoVabhefs2nrdiaXurub9IrHoSzvL4P6lgkhJgMPABcDBcCrwF+FEDnAk8DVwDg8PStVxbvjgC+B8cACIUTcOKKnTZ/lefB7Y2zqlz9Me0M1BTMX+FlK0vNLfGIiQOhYcBIs4O++UoJFWXxU2rm+v1uHcYVeE0dVN1YvtcytCajuTutP8b+qmkbKyoJXmo0UZq73MWXKFDZUbvRVMtbRY2+sy60ot1L9mlq/fk1W64e1cJ7O9nWNfPL0Wr/aO8FQ4kavLjz+1BN96+2sPWpMSgSFUhVZR52ravtOJo6PXitltM9zu+J5VuwERH/dV0rkpOaNhc7APlQqLseOHavfYPWKKl5YvrlffZ70Mar/9zeryq3+zUBceKHg5Laq2rSZ8cI/IWGwomW4WzUsBN6WUr4ipWwHfgPMBU4GPpZSPie2dQpwAAAgAElEQVSlbALuAM7x7iOARDzuMQFEV9rIIJg8eTKVG6v8qx3TZ6VIzy9h59q3fQHHvowqjdxRKUwvSfYTJnYiRxX601siBHMPBUvp1tPG7aoWA2zasIVNG7b4xmoVQAPhk8qdbNvVwaRJgT+CUYSZ617GjRtH0+5meprr+7WfEjmFs4tt2zS4BfxaURaTT5s7AnpZWQONdTFiZ7lR51ZWGyVGrONxEzV2fbL0Y4Mn/uaZdz7gK19b6HicKGDY5nko/aecKgIHEzp2YiFYnI5VVMwsHkFhaRmJ9Dju44TKvoK+WBzd7WIdh5MoG0hskV2bBztrlXrvVHk5lIDuntwJvhf0WXT+s2YDnb2S0oMO69fYrccF/95WoVZUVgw2Buc54F/a+wOBNmAOsFpb/jlQ5FX2rwE/BDYBv5ZS2trWhBAXADEViVdQUMD777ezL2McyTnlZBVV+zWShL7066yiajIsAic9v4Sxs4E1fZVblWhRIkcXNKowoI7KqNKXWy0pTm4i8LisdGGjttXTxq1Cyknc2GVfWWlq6eJ/bniLP/xhabRnlYRlrsfiPE9ISCAvL49dTbtJyi7sd9o4EJDOrQsZO6Gguor3p/4MhNYRXMeapu50LDe3mtM5f//G+9Tvbmbx4sX9GtMwM+zPdGudk/7g9iMcTMzUtnY7bqPEwaSSMWyr3EJgfWJ3Opp3+r2vbe2GTP9gY7tzWwN/reMNlVAsP9bzW2sP6W7B7NwJiNwJflLPyZpSu2s337/jYf685KYhbUcykJo8gxI4UkpfIQMhxBnAH4Fr8Sj+am27TiFEDzBSStkCnB3Csf8E/Ml77Jj4yzcrK4vWVntfqDX1Wr1Pzy9B5JT7xb6oYnvBxAH4i5y83BQad3WFVH/GOp7BYq1s7BS3o1dC3rNjIxcsa+Rb5/yYc845h2gmXHM9Fuc5QGZmJq2t/Rc2bRXrAzp5u7VcsEMXF04NO1VxPbcMLafAZifx4haA7NSTSm2/fMMW/vDmB3yw5gtSU1MdxxRpIvlMH6jQcRI5wSwQbq4sJSYmFueyKhVEdkGAaAmGJwC5tF/76Ogp7HZY2z64uafccAo2tntvVzNHDxTu7u7h+0v+zPlnncKJR3/Ns8wrTNwqGeviJbl0hmuxwf5URA4qcIQQvwB+bbPq/0kpzxdC5ANL8Sj986WULwghlgDp2jFSvOdy7+0e42RmZtLS4j8BdHeOW2sDa6E9J3RLjhI21mJ+KuvJKi704npWkeN2XjVuZZGxihfdIhRqQHJzfS3PrE+hqaWbJUuWuG47XJi5HjpZWVk0tvcw0WG9U6VjK1Zxoyw16l+FXaaUXbNMtRz8Y2mCVSbWt7FmS9llT/XHMtTa2cWFj/2Tx353OxMmDF2Nj4ES7fN8IELHaVs7i0gorhcldCYW5lI0IoH0oxay4Z23fOv7K3asYwhlG32cqqgf9FVDtsb36BWR3Qjm8lLiLlTXmM91BNz+l+dJS03lV5f9GPAXJ9aeUlbUOjtLTSiFBm3HFmwDKeVtwG1264QQmcByYAUwzavkAdbh8dkqpgMVXp9u3OL5q9Zrwckpp6XuYdu4GF3sqKwqFZ9j3Q7sY2vsKhTr763NNRUtdVV+IkctU1hFmPX9xCkTXIWatXeV03GyC4tZ8VojP7v1IVJSBh6/M5SYuR46mZmZ9LTssl2nLDZ2Iidj8lQKZ1c5uqHUv18501OvxmrtseKW0q1w6iflJlKs60IRNE4WoS+3NzB6dDEnnHdZ0GMMB9Eyz53cMeHCGl8SynnTMzJIkd2enlRHLfRLC3cKMrZjMDV6dHEDofWfCpZaDvb3X3eD2bnwdPGlUr6VIGmvXMdbH3/BL6+8tN9ZgrrwUenn6piDYbAxOOcCO6SUP7Isfw5YIoQ4Ao+v9jbgiUGeK+ppbW0lPd3zR05vxhivgPA21tzSw8ETeplcZvOFyin3y6QK1sRSxy5TydoKQW+/kF1Y3C/3lNX1pI5hN0aroHJyhamxbWjuYcaMmKlcbOa6RmtrK+lp6bbrnCw3omgSOAT5Aj7LDQQXNjrjTz3R0UKz9blXHPcLRezYbeMkZJyCkrdOO5oZO2LG+xiReT7Yeif9RdV7cbLwKFL3dZKSlmbbwBKODSpyPq5u8lpVMv3EgjWeRq2zCi6ruNGtNk6VlEMh1Fgfq8jxrcv03itvbI5yKa2r3sbkVE+kji5S+mt90UUO+KehD2eQ8RzgKK8vVmcScB7wGJ5Uw6eB2wd5rqinsrKSspK+Tth6+wPwNONcW9vGqYdZ0mubKn3VjqEv20mvQ6NbcVSfp1DdQUpoOMXfWIWQfn47QaMHHKtzW49rtRLp7E0eww1/2cSePXuivvaNhpnrXqSUVFZWMn7KTNL2tdGRmBFyoHEwV5EucoKhBISeYh7sXGqfxrVVfgX69HgZu1YNCnUeJXKcxA5Ab6/kn9ubueWJW7j22mtDuqYoYL+Z59YKw3Yia1PVRkaPLwX8rSR65eJQ0YWDtQGoXTsGt6Bi1ZbB2p4hVDeVU3Vlu3O6LaslleLMZHa3CG65/ymy0tMYnTcqQIRYRU4o7RiGIql9sEHGlwKXOqyuBl4czPFjjcrKSiaV9UUliLKvc9BX3+aDLX0//G1dHgEx+4ijPdvklNNW8aYvVkfH2v27D+cYGx09g8tOaKh1VuzO6WS1CQU/F1jSaA695h1+dOHlfP7na6PGPRUMM9f7aGxsRAjBmOw0Xy0cN5GjLDpdK1/wCQu3KsRfOXOmn/gIxT2kxIZqxQBAxXq/+Bm9oafdMZXIse5jF3SsixqnWJ/rXn2fjzfXsnTpUhYujOrUcB/DOc8H0sJgqAj1vJuqqpg75wBOm1XMhoZWv95OO7c2MnqesxWnYHyereXHWpTP2mzTrvigvo+y3Nj1nuoPbu65YIUD1TZT8jP57ydrOe+UE7hk0Q/5+MarEI1bfIJGuZhUbypwFjcBjTVzJ5BMYJDycFpwDBob1q3l3HPO9L3vzRhD4eGL4Cn/suxfVncz+4i+gn8KvSUCBBbmU1YTO3GjUBYXN6xFB/U0cbt9rSnu1vGAf2yPTmdaMe/V1LGpuobUkfn8d+MWzv7uj6MmsNjQfyorKykvKw0o9Ocmcpx6VCmUG8qunoydlcRqZbFacKz1boJlVFmPoyoXW4v6qXFYj9Xb28vnm2r4eGM93T37QEqeem81FRUVFBQUuFz5/o01NTna2FpVwRlnne21qlhjWsqo2dpMU5VzhpW1Ho2TcFDr7OJm1D7WoGK7xpp29Cf+J5R09N27dvHxqhU0NuzkU2D5W6/zg/N/zI2/uMrjqhrRF3ZgdU3pXcQV1mBqH5lZPpGjM6RZVIbQqdq0mbKJpf4Lc8q5+rJjWfL7PpX/jeMm+dLDVddxHWugrp3lRFl33AJ5rZ3CdSGjL7dub+dq0pfpPbCs2wF8tjOVv1WO45133qGy8t/Mnz+fsrKTEEIwamoCP//5zwOuxxA7bNy4kfIyp/wpZ3SRYq2Do6NnRtWvqSVvprsryI7kiTNBy4oK1tBTiZm2ivU+K5NT7I+yFDV98RH/98q7vFvTyvLlyykoKGD+/Pm+OLwlS5YYcdMPwmXRcep5FApVmzczu6QI0AsGjvIXIt4Mq2CZVW7iJtg2urhRrindgqOLG6f2DKFgjflR7KlYzb9eeI6PVq1g29YtTJ17EOVlpQCUjh/H+RdeBPj3qbISzHJjV4iwllSKvV3ZB1IF2QicIaK3t5eqTdWBAgd/IfGdozMomLnAJ262rVnhapnRRYtuNQkmbnTaG6pJzy/xEzpOogfs3VZZRWU019faWo6yispIzy+hum4Pdz75MS98tIvLLruMP/zhDxx44IEx44YyhEZlZSVlE/svcJzqyygxoSwlTgHGSqS4CZ3uTWt9bqrs40/3vdfbMyisrih9uXWZOn/yxJl0dHbywqtvcdVdD3LooYdy7rnn8tBDDzF69Oggd8AQjHBYdAYqbtra2mho3MW4sWNItI4lM4vTZvXNzZ1lc33Vizuad5KWHT5haxdc7BR709/GntDnEpNSkt5Szx/vvZOPV67g7B8s4pSzv0Ni8SQSk5J82wIUZSbji0rK94ibUD8/p9ikPjJ91pz+YgTOEFFTU8Oo7JGMGNH3BU1o2w7eAn4lOZ4siuzCYnaufZuCmbBtzQoqqjyTINS+TYNpiaCwWm6s78Fe+Iyd7Sm7rcf2bGkfyeKnNvHWp1+yZ88ezj77bL5YdgujRo0a9DgN0cn69ev5+oIj/Ja5BRnLuo00v/YPAF/8jbLg6AJGD/y14pTqDf4Bv+AvcvxicgiMl9EDi50ED0DmwpN56KX3eO72v7Bq1Srmzp3Lo48+yjHHHON43QZ3gqVqu1l01F/z/RUv/bHmVG7cRNnEUttqvNm9LWSno4mcMmrGe+b0zq2NFIzP86SWh4hdzyolWNz6WelWHCVy+kSCR3y4WY6s8T0Am9ev5eXHl7Lug//Q09PDN08/i3+8/V8yvJlT1pR1/Vw6KgA5GMot5jROz/JMX+ZWf4h5gbNr1y7OPfdcVq5cyTe+8Q3+/Oc/k5ycTFdXF5dccgmPPPLIsIxj3bp1TJ3iab2Q2FbjWdhUSf3yhwGPW0rRXF9Lgfe5qzKiwF+86PEtoYga5cpSVh1rnI0TylWmI12afypLkMwu47dPvstt/+9fLF68mGdvOplZs2YhhAg6VsPAiKa5ftFFF/ktU/E3TnE4dm4fOxeQXeE+J8uNW/CxstjoAke35Kjjugkntc3G3kx+ePYFjMgvZvHixRx55JGMHDnS8dyG/mEVMZt3d3Hxoh/x0QcfcMzxx/PYA/f45vlPr7qGP/7uXp8rZCDup1D3WV9RwdTJfc9Gq4ukJ3cCxZnJfpacmq3NzDvMMy+/N3+CnyvLTkxAYOq3LlhCQbfoOAUer63d67ed3Tb7enp49tH7+efjSznlhz/h8sU/Y2L5FN8z3Tp2fXzOFZX9hY+d4AnVyjQQa9Rgm21GnHvvvZf58+dTW1tLWloay5YtA+Chhx5i0aJFwzaO9evXM1n7MiS0bafiH7fw4FNV/PP1jWQVlVF4+CKyisr8XEtK3Eyc4v+F64+lRmVJ6eLG6pKys8iAf8NP2VRJW8WbjtsqMVSbdQgLf/Io/1jVwMqVK7n++uuZPXu2ETdhJhrmem9vL+vXr2fKlCl+y5WoUSJHR4kKJWhUBWIreuaUvsza+FIP/LWmbTu5r6yWHLdtFRmTp/LIf77kqHMu5AcX/oTXX3+dk046yYibMPPnB+7hsAPn8nlFFWmpaTzy1AsAPPznx/jR97/r205vyBgqoW7fnJDFZxu3UjJ5esD++nmze1uYmt7JzOIRvtTxmq3NHFCS4xcLE2p38GBZUaHUvlHxOWtr97Js1Raf+NCPrY6j1tVv28r13z+FLz5axV1/e5VTfnARPTnjqGhsY0NDq6u40c+pzqvWq33V/nrTT2sDUKd7Y10eSiyTIuYtOFIGFtBqbW1l7dq1XHbZ8FUOXbdunZ/al1Wv8sS/PQ/96ibBtjUrmDz5GDK8L2XZsS3850XF3Nili1uznXQrjZvFRscnbryFBkVOOek4ByOLnHJaU8fxrR/+ihO+eRq33HLLkDZTM7gTDXN927ZtjBw5kuxsf/O7k+VG1m30uYKcGliq5U59qZzcRk7p2VZ3FeDnsrLrKK4fW+37+MebuPfRJ1n5wYfR3uk+rlDzXLfstLa28sWX6/nJBT8eljFk97ZQuWE9C449zrdMF0e6W83zIx2847hyxVizqvTU86FCBSLXbG2mZmuzrbtMWXs+rKjhkcu/zbyvn8HXzjyfOgR13vGEUlNHF11K5B1QkhMQF6RniblZY5zuhVOLCjdi3oLzs5/9jJUrV1JcXExHRwff+973uP/++7n0UqdSDuHhyy/WMHVKX9E6q0jYtbuL+uUP+4SNsriolzVIWAkbO3Rxo6w1gJ/VJmR0kZNT7hE5NmJJ5JSzb+REzr3qfuYc8FX+93//14ibYSYa5vq6detsrTfKcmO13kBgSrUuYoJ1Ebc7lnq5baNQwkcXNckTZ9oeQ1/2zqfruO6u+3npX68bcTPMXP6Ti1j14UdMmDqb3o4WzjznOzz48KNcsshaXNkd5cIaKJsq1jOvfLzvfXNClu+lqG3t5lcvf8ntf1/jExG6mCjOTA7aQRw8QsJOTKjl6nVASU6AlUctG0hNnA831vPILy4he9p8Muafweotu32WGMBnjdGtMqFg3V8RqvVFF026Nai/xLwFJzc3l1dffdX3fvfu3Wzbto2cnBwWLFjAli1bWLJkCaeffnpYx7F58xYmlvYJg6f+8jog+PpXPLc4d1QK/3x9IztbBVcf3iccWuqqbMWNE07ixoqyzqTbLNNjbHozxvj+n9C23flYOeU8tOxlmlp7efqhh4w7KgJEw1zftGkTk0rG27qiFFZLjp6yDX2WGr32jR1qvV2tG2WRsbPGKNxcUMqSYw1QBujq7uG7tz7IX595jmnT+t/gzzA4cnNyeOnvf/W9391cz7YdOxg1ahTHf+s0ttRs445f38ip3/pmWMexudr/ma5wsj7UbG3m5MNLAXfLh16p2BqXE8yaYz2u0/u1tXt9oscae6O/r/jX4ySmpDLzzKH5IymUwOpQigi60Z+u6TEvcKzce++9XHHFFVx99dUsWrSIY489lqOOOoqFCxeGLbNHSkldfT2jiz31EhLatlPd5BEAr37Sw8VnKfO3e7EzJ5xSs6HPUqRbWlzHagkgTmjbTm/GmD5xk1OOADJ0yw4eIfTORxu54IILTNp3lBCJuV5bW+ub5wrlnnITPU6EYrUZCKHUzLG6q5RoWvP5OooKC2Om+nC887s/PMRlF1/AdTfczI++/10WHn0kx550GkcfeTijsoP/oA4kELmzs5OW1lZyc+ytInY/0k4/7sEaeuoix61DuHWdWu4UvKyws/gokdO4YTVlx5yFSBhaa7z1nHZp7G5CTt+/P4LGSlwJnLq6Otra2igrK+OTTz5h6dKlpKenM2fOHCoqKjj44IPDct6WlhaEEGRlZXoyqCwiQmU3/eDmO/wERsbkY3w9ovRtQwkw1lO1oa+2jX584XU5BSNh27uu65WVp6K6lrKy4GXzDeEnUnO9traW6ZPc3aB28Th6hWBwzqCyYq0irLdjsGZEqW2s4sZXfdhhvFZXVWV1DaXjxjhsbRhO6urraWtrp6y0lE8/X8tDv7+X9PR0Zs+cTuXGKg46YF6YzruTooKCkLpif2/+BJjf94NtrV4cCsFEitt+dvtbLUG6SFDWHYB3Grdx8NzpFEywF3JW6481G0tnMG0j1LicXHXqOvt7j+JK4Nxzzz0sXrwYgFmzZvHkk09y/PHH8+GH4Q0SrK2tpaiw0Pe+reJNLj6rjIKZC3it9RLGtl/j50qS3oDetoo3A45lDR7W3VfBWjDocT9WsaMIEDwuKeEKZd05dN40li9fzmGHHRZ0H0N4ieRcX3DYwT5LjV1gsVqm2jN0b1rrExm6YGlcWxVU1KjtrMvsXFPBrDZO/aMUza/9g4zJU/nqvFlc+ut76O3tDekHzhA+fvvAQ/z0kgsBmDl9Gn975lmOXXA0H63+1Lao6lBRV19PUVGh4/qhDgoOhWCWjCNL+qy2ejCzVRTox5l1wMFUf/4RBROCPzOswcT9qfPjFF/Un/voyUYb1a908bgRONXV1SQnJzNmjOcvrzvuuIMzzzyTa665hrvvvpvc3Nywnbuuro5i7cug2jLc+LtFrLzxQEZ9JYn5P7rFT3DoLRrcREwwUaOjW3WURScgI8r7rx6P42rlUWPOKWdEai9dXc7xQYbhIeJzvdD5we8mbvSA4ryZZYw/9cQAUeKUGaXjFHdjJ4ScsMbdqHO1VawntWgsXR3tIR3HMDjcKhdXb9lKcnISY0Z7noG33ng93/nBIq6/6VbuvPUmR/eRQtXKscPJbaWW19XvpKjQvxqx6pmkBIP6wVeWC70GTagF7hTqR9vN8qKwWodUIHNSQ0XfWLVrK/YKHzthUJw3iuyMxH65jxQqY8pJ6FiPadeTS3e/BRNwta3dfin3oRA3AqekpIRbb73V976srIyPPvpoWM798vPPMGf2LMA/UFdZaF79pIdDbCwlwbpzW1smWHtWOS1XjS/bG6pDcmVZUeuswueTDdu59JvnuY7ZEH4iNdfr6ur48ssvKZ0+x7fM6o4K1lTTSrAeUWDfS8ra9NJODNkJGKeeVvryNZtqmD213Fhvwkyw2JSSCeO5+Zd9jYrLSktZ+e/Xwz0sknZt4Y1/vsC88vG2FZPd3DTg/0Ouizan61XCQ7mZ3ISBQv+RV32a/Lpsa//PK51BT+4EstM9Y9CFzrq1a7jqjLNtU9ftCKUOD9gLMzf3UjBh51Yx2Y24ETiRorm5mYcffYzlb79CYlsNbe8/xMVnlXHc5RO58XfHcPVl/nVpfKKhoTogPdxqrVFCxUnYqG2cltv1lIJAV5ZOgPDxjrejs4uPPl3PvHnh8Xkbop97772XM888k/z8fN8yvXqxnbixZlANFKvFxQ43643a1208Kr5n1QOPMu/gQwY+WMOAUAIg3F3F3Sw7PbkT2LnuY/764mt88drTAevtrCDWH+cNDa0UZwYG+etds52wxtJYG2f67k1vp28bdS3JpTN8Iqe9cp1vfXLpDJ9lSh//3j3NbKrYwJQZ/kUwddeWU+xOMIK1l1A4HU+PZxoMRuAMkgceeIATjlvI5KIkEtq2+9xTn1bdiax6lYzJxwSIBtlU6RMWwaw4buImGKHs295Q7ZdKrhA55T73lZSSO5a+xiHz5zNu3LgBj8cQuzQ1NfHwww/z0XtvBsTduPWh0lOxFW5CxGqZccKuhk0ouKWVJ0+cyaat2/nDX/7Oq68HxscZhoehbLjplD3lllV19+Mvcu4pJ1KYH+jqtXOPWCsFK4EQ6thVAUCFXcCxcs+o/ly6ZUkXbErkjDy2r1RET+6EAMuNlJIH776Do477Olkj7Ctzh2LVsbrp3LCz/rhZhIIVCwwFI3AGycsvv8wNV3jKh8uqvholN3/vTG64+Xy/bZX1xqkVAvS5kgYibEKxBtm9t3YXVy4skVNOR2cXF97wKJ+u38pzzz3X7zEZ4oPly5czb948SiaM91vuZr2xYlct2Ird8lDFSyi0Vaz3xQKpmB11/NeXr+L7V97I9TfcxNy5c4fsnAZ39B/e/sRXDJRgaeOvvP4Gj935S9t12b0tXDx/PO8Wj2DZKo+o+Li6ya/vlC8mxnIeN+uNNR5Ht6Lo1X/Vdtbx6yJHHPB1v7rKVnHT2rKXX15+MfV1tdy39C+OY9IJluXl1ANLx1qDR8Xw2DFufLbvmFbX1X7VqiHS5Ofn09LS6uk99faTXHxWGa9nLOW0Ef8LaEG83nYIynqjRI7eJFMXIE6uqWAuK4XeeNMOq/tKF13q/xk55Vz/m2XsaoMVK1aQmdk//6chfsjPz2fv3r4HjV77JhjJE2eSQejWGcVghY2qcxNKdlX9iDzOvfJOnnnmWY466qhBndcQvbhVNlbrCkZmsre1b17biaEp+Zm+H3SVFj413eM2UsG+ynJiRYkNuyDj/mB3LWqsdudVYunOX13LyIw07nzmZVJSUwO2s4rMgYxNYa3hYxU5TqgsrVCEkxtG4AyS0aNHs6OuAVDtFbYw6dvFZKQf4y9uXLCKG1Xd2CpQ1DZ2IsfO1WW16FgDjoPx0fv/5fEXV/D5558bcbOfM3r0aHbs2GG7TrfeiKJJfu/1JpdDaYkJBSdxo/e/alxbRe6MiSx+4m2uvPJKI24igJPVJpyxOG5WnOKCPHbUNzjum93bAplZvi7iusUmGFaxYJvZpLmsrO6Y2tZuyPS4qayxRG7iRqVY/+e9d3l/+b95b+WHjBjpbFFS9745IUv7fDL9sp+cYnKcUsKD4WTRGYzIEXYN/KINIUT0D9IQzVRLKUsjPYhgmHluGALMXDfsD4Q0z2NC4AwVQogPpZQHRXocQ0E8XQvE3/VEkni7l/F0PfF0LdFAPN3PeLoWiI7rMYUeDAaDwWAwxB1G4BgMBoPBYIg79jeB86dID2AIiadrgfi7nkgSb/cynq4nnq4lGoin+xlP1wJRcD37VQyOwWAwGAyG/YP9zYJjMBgMBoNhP8AIHIPBYDAYDHGHETgGg8FgMBjijpgXOEKI84QQm4UQLUKId4QQU73LrxZC1HiX/1sIMU3b5wQhRIUQolUI8ZQQYoR3eYIQ4gkhRKMQ4soIXMulQogdQog9QoiXhBCj3cYbzdcS5HpsP7Nov55IEk/z3DuGuJnrZp4PLfE01+Npnge5nuic61LKmH0Bk4EW4EQgHbgOWA3MB3YAE4FU4E7gLe8+OcAu4FTv/58G7vOuOwH4FZABvARkDeO1zAIavWPPAp4ElgUZb1ReS5Drsf3Mov16zDw3c93MczPX99d5HqtzPdYtOAuBt6WUr0gp24HfAHMB6X2pXluJeG4ywMnAx1LK56SUTcAdwDnedcK7bZL3/8OZYnYk8JKUcpWUsgV4HJgZZLzRei3gfD22n5kQIpfovp5IEk/zHOJrrpt5PrTE01yPp3kOsTjXh1MBhkFRFgGl2vuv4lGSScAf6ftStAFTvNvcDSzR9kn1bpOFx2X3Nzwq9fJhvpZkIMX7/zw86vj+IOONymsJcj1un1nUXk8kX/E0z4PMjZib62aem7k+gLkRc/M8yPVE7VyP6W7iUso69X8hxBl4vgDXAkcBpwEHABXAXXjU5sHASKBaO0anEKIHGCk9qvTsYbsADSllN4AQYhGeAkkdwHHAeTiMlyi9Fu9YbK/H6TOTUvYIIaL2eiJJPM1z71jiZq6beT60xNNcj6d57h1LzM31WHdRIYTIF0I8D/wWOF9KeT8ef98yKeVq7028FkTy+L4AAA6/SURBVDjIazLbjcdPqPZPwaM0m4Z/9IFIKR/G45O8BngOjxJ2Gm9UXwsEXo8QItnhM4MYuJ5IEW/zHOJrrpt5PnTE21yPp3kOsTXXY1rgCCEygeV4TFzTpJQveFe1WTbtAfYB7cA6PMFSiulAhfT4DiOGEOJ6IcR3AbxjeRDIBWpwHm9UXgu4Xk8h9p8ZRPH1RJJ4mucQX3PdzPOhJZ7mejzNc4jRuR5uv104X8AFeIKbrMuPAGrxmDPT8ZgzX5J9vsNd3m1ygJeBm6LkWj4HyoA0PJHon7qNN1qvJcj12H5m0X49UXAvA+5ZLM7zIHMj5ua6medhuZ8B9y0W53o8zfMg1xO1cz3iN22QN/x+oBePmtdfJcAPgUqgGXgBKNL2+xawCY+p8P+A1Ci4liTgXu+XuBl4BSgPNt5ovBa363H7zKL5eiJ8L+NmnrvNjWBjjsbrMfN8yO9n3Mz1eJrnbtcTzXPdNNs0GAwGg8EQd8R0DI7BYDAYDAaDHUbgGAwGg8FgiDuMwDEYDAaDwRB3GIFjMBgMBoMh7ojZSsZCiFHA/2BEmsFDB/BXKWVXpAcy1AghjsWTmmkwAPxXSrkm0oMYaoQQhcApePoSGQwtwN+klPsGeoCYzKISQkxNJ3tdXlIJiaT4rcvIyLbdx255Zl66zZaQmR+4PCvbftus7IzAZSPSbLdNz0wJWJaZlRqwLDXNXnempQZquWTRabttQtfugGXCZhkAbfUBi2TrTttNu1saA5Z17m2w3bZ9T3PAstZ2+7na2toTsGxPh/1zrsVGwtS3Smr2SjY39xZKKe0HH2MIIRKysrL2AYwYMcJxu7y8vKDHKiwsdF1fUFDguj7YObKz7b93ipEjR7quB8jKynJdn9zrrl3lXvePfV/D9qBj6Kqvc13fut1+riv2bguc8zq7a1td19e0d7uul8CHPXuYw0jekDvjRgj8jxgj/00DByaNJMXlb9Zx6e5/k48c4z6HRo51n6cAmaPzXdcnFxa7rk/MG+26vjcz13V9u7D//dDZ0+X+m1/XYv+7oNje3OG6fssua11Ff5p2Ba/T19LkPtdbd251Xd+9exuysxm5p2aUlNL9i+VAzFlwJor5Mo2RjGUOOUljAtaPyghcBjBqVOCkzJtgP9nzJo4KXFZs/4AuGJ0TsCy/0H7b7LxAMZSTnxmwbMSIQCEEkJUV+HGlC/tJlNhWE7Asoc3hAd9UGbBI2iwDaG+oDljWUmf/ZWuuD/yS7dpt/yPVuCtQaNfvtX9+72wNXN7WBRub9tHRI+svnpfKg6s7Y/rhL4QYkZaWtgdg/PjxCOF8ORMmTAh6vPLyctf1kyZNcl1fWlrqun7MGPvvnaKoqMh1PUB+vvsPS9o+94eurNvour5709qgY2irWO+6vnFtlev6+t5a1/XbmwP/QND5tMv9hweguCedt2ngAJEtV7MnUUrZG3SnKOZ4USBXs4fjKGBqkv0fkoq5GYF/EOoUj3GfQ4Wz3MUHQN5Md2Npevk01/XJpTNc1/fkun9fmxPcRRpAbau7EN7Q4C4u1tbudV2fUO3eSSFpawh6Y6v7XO9O/tR1fW/mWHp3b6a3u323EGKqlHJD8JP6EzPuHSGEGCNmyJ1sZCKHkE7wvwgN+xeTchL5n6nJPF/RzdnTU2LPNOlFCFGWnJy8Jz09nZEjR7qKG8P+RwoJHI/H4lZK+j4hhLN5L4oRQiQcJEbJ9bRyEkVkkxzpIRmijIRRpSROOBzSc9cnTTqh38/0mBA4QojUHMb1dtJKKYeQhLuKN+y/5KUn8P1ZKXxct48FJclSxJg6yM/Pl0lJSRuzs7NJT3f/a9aw/yIQHEIOk8ikgJQ9QoiJkR5TfxBCZJaRsa8HyQkUkBobP0WGCCDSc0kqO57e+s9IHDe/X8/0qJ9VQojiTHI70slmDLNIiP4hGyJMWpLg29OT6eyRzMhL6PU28It6Ro0aJffu3UteXh4pKfZuSoNBp5xMjiCXPJKrThbFMWG1FEKUFJLSUkI6XyWHBBNTbAiCSE4nsex4ZPtuRO7kXiFESFaOWFALlyWTTi4lCPNFMIRIghAcU5LE3i4JcEakxxMMIUT+nj17GDVqFImJiZEejiGGKCCVAxnFcnZFeiihck0RqUwheKyJwaAQCYkkjpuPbGsAOD6UfWJB4NycQCLb+IxeBpwtZtjPaOuWPPFFN1NzEwGWRXo8wZBSNuTm5rJr1y66uuIu090QRtbTwic000R3SaTHEiJXtrOP/7CLXmLC6GSIAmR3G/s2vkZC/jSklC+Gsk/UCxwpZVejrBbpZLOJ9+kmeJaBYf9mZ1svy9Z2MX9MIq9v7hYyRmohNDQ0iJ6enpLm5mba2twzhgyGXiT/pYkttFNPV5aUckukxxQKUsr2StoSMkjkFerpMH+4GoLQ29ZAz8bXSSiex76tK+InBkexTX4uipjMZj6gnQGlxBv2Azbs2sc/NnTT0Jk484kvumLOpyml3NLd3Z3V0dFBc3MzMaLNDMNMJ738i52kIKiiLUFK6Z4XHGVIKeUq2SRmMoKXqacJ97Rnw/5Lb1MVvTX/hY5dk3oqX+nXMz1mBA5AlVwpOthTvo017CZ40S7D/oOUkuU1PazasY/aVpnf3d39RaTHNFCklK0dHR2JCQkJ7Nq1i337zF+4hj52081L1DGVTD6Qu2PGQmnHq7JeLCCPN9nJFoIXjzPsP0gp2bfjI3qbNiHbGkZKKd2LUNkQq5WMR46gsDkpIYUk4Z9tkpISWEzPaXnaSPtMlVSbQntp6fbbptkUnkpLt6/nkJIaWKgvNS1w2+QUe92ZnBQoXhNFYAVggIQemz/oehzcHp02FrHOPbab9nS0BC5rt9+2qz3wgdXpUIGzozOwVplTUdeO7sD70NguyU0XfLBjX4qUMm7+HMzNzZXt7e2kpTlXN3WrcqwIVkk42Ppg58jIsP/eKUJJeXe7RoBEaT/XfTjMQ0XvXvfiZQA9ze7W4c4m93O0B6nw2rrb3cW+K0iFWgls7e1gAfk8LbfHnIXSCSFE3ljSGnISkkhxyQLOS3EPwE8f5T6H0nPd5ylAWo77dyExSNXuhKzA4q86vWnuwdXdIdQDautxr+3Y3OH+XWlqc4/za7ArF6/R2ho8TrC9xX2ud+11LwTYs7cekVlIb91nAy5mGZMCB0AIkQjcBDwXhsOfBjxrjhtTx+0Avial/NMQHzfiCCHGAhcTns+iP4RrPsTK+aNlDIdLKX8b4TEMOUKIZOBGIn9/o+EzNmPw9KI6ajDP9JgVOABCiA+llAeZ45rjhvO40UA0XFukxxDp85sxhJ9ouDYzhvgZQ0zF4BgMBoPBYDCEghE4BoPBYDAY4o5YFzjhircwxzXHjTai4doiPYZInx/MGMJNNFybGYOHmB9DTMfgGAwGg8FgMNgR6xYcg8FgMBgMhgBiXuAIIS4VQuwQQuwRQrwkhBg9RMc9TwixWQjRIoR4RwgxdSiOqx3/PSHEVwd5jBOEEBVCiFYhxFNCiOAFUfp3/EGP0XK8sNzTcM2BSON0v4SHe4QQzUKI7UKIi4ZhLH5zYTjHEO55HsL5fdc+3Pfebg5E4vMfTsL97O3nWIb0GRjC+SI61y1jGdZrt5x7aOaAlDJmX8AsoBGYD2QBTwLLhuC4k/Hk4J8IpAPXAauHaMwnAH/EU7Prq4M4Tg6wCzjV+/+ngfuiaYzDcU/DNQci/XK7X8D5wGfAWGA20ADMC9M4bOfCcI0hnPN8INc+zPfedg4M5xiG+xXOZ+9gP/thOGfE5nqkrz1ccyDWLThHAi9JKVdJKVuAx4GZQ3DchcDbUspXpJTtwG+AuUKI3CE49uFAEp4PcDCcDHwspXxOStkE3AGcM9jBeRmqMeqE656Gaw5EGrf79V3gLinlNinlGjyi7uwwjcNpLgzXGMI5z4Nhd+3Dee9t58Awj2G4Ceeztz+E4xkYjEjOdZ1IXLvOkM2BwN4BscXDwCPgKfUNnAusGILjPgf8S3t/INAGuNdpDwEp5a8AhBDHDvJQc/D8Naf4HCgSQmR5f+gHzBCOUSdc9zRccyDSuN0v62e/FhjKz8qHy1wYrjGEbZ4Hw+Hah+3e4zwHhnMMw03Ynr39IUzPwGBEbK7rROjadYZsDsS0BUdK2S2l7BJCLMJjpj0V+OsQHLdOSrkZQAhxBvAicK2UwZrhDCsjoa+tupSyE+jxLo86wnVPwzUHIk2Q++X32QN7Gf7PfbjGEG3zfNjuvdMcGM4xDDcx8uwNF9E21yPCUM6BmBA4QohfCCF6bF5LAaSUDwMZwDXAc8LT02RQxxVC5Ashngd+C5wvpbx/qMY7ROzG459U50zBY5EL3lEwQgzmngZjoHMg0gxwDvp99niue8Cf+wDn65COIdTzRME8H67rBhy/M8M6hnAQrmfvUI0hHOcLgWib6xFjqOZATAgcKeVtUsok6wuoEkJ817tNO/AgkEuIitfluD8FluMJXp0mpXxhKMYrpTy/P8cJwjo8AbaK6UCF9z5EHUKITAZxT12Oe/1g5kCkGeActH72M4BPh3oMQebrkI6hH+eJ9Dwfrut2+84M2xjCRbievUMxhiF+TveHaJvrEWEofytiQuC4sBO4VghRJoRIA64C1kgp3fuwB+dcYIeU8kfD6fvsJ88BRwghjhBC5AC3AU9EeExuhOuehmsORBq3+/U4cJUQIlcIMd+77dPDPL7hGkO0zfPhvPdOcyAaPv9wEQvP3nARbXM9UgzZHIj1IONH8ajcFXhMeyuAM4bguHOAo4QQVp/fJCll9RAcf9BIKRuFEOcBjwEFeB5wt0d2VK6E656Gaw5EGsf7hSewejZQjcesfYWUsmKYxzcsY4jCeT6c995tDkT68w8XUf/sDRdRONcjxZDNAdOqwWAwGAwGQ9wR6y4qg8FgMBgMhgCMwDEYDAaDwRB3GIFjMBgMBoMh7jACx2AwGAwGQ9xhBI7BYDAYDIa4wwgcg8FgMBgMcYcROAaDwWAwGOIOI3AMBoPBYDDEHUbgGAwGg8FgiDv+P8JzO9ieQfNXAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "perc_diff = (raintot_diffs_time_mean_landmask/raintot_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-25,26,2.5)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "contour_plot1 = ax1.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "perc_diff = (etran_diffs_time_mean_landmask/etran_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-40,41,5)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "contour_plot2 = ax2.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "perc_diff = (lh_diffs_time_mean_landmask/lh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-15,16,2.5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "contour_plot3 = ax3.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "perc_diff = (t2_diffs_time_mean_landmask/(t2_400_time_mean_landmask-273.15))*100.\n", + "levels = numpy.arange(-3,3.1,0.25)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "contour_plot4 = ax4.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "perc_diff = (pblh_diffs_time_mean_landmask/pblh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-20,21,2.5)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "perc_diff = (prw_diffs_time_mean/prw_400_time_mean)*100.\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax5.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax6.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)#h_pad=7, w_pad=3)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-40,-20,0,20,40])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-3,-2,-1,0,1,2,3])\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "fig.savefig('png_files/FRACTIONAL_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/.ipynb_checkpoints/gp3_MYJ_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb b/.ipynb_checkpoints/gp3_MYJ_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb new file mode 100644 index 0000000..f95094c --- /dev/null +++ b/.ipynb_checkpoints/gp3_MYJ_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb @@ -0,0 +1,1535 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T06:22:52.727707Z", + "start_time": "2018-08-16T06:22:49.587117Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import matplotlib.colors\n", + "import pandas\n", + "import matplotlib.patches\n", + "import netCDF4\n", + "import glob\n", + "import cmocean\n", + "\n", + "import mpl_toolkits\n", + "import cartopy\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T06:22:52.742216Z", + "start_time": "2018-08-16T06:22:52.736509Z" + } + }, + "outputs": [], + "source": [ + "run_info = 'FMAASO'\n", + "skip_time = 24" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 400 data" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T06:22:52.980976Z", + "start_time": "2018-08-16T06:22:52.750254Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "wrfout_d01_1979-01-01_00:00:00\twrfout_d01_1979-01-07_00:00:00\r\n", + "wrfout_d01_1979-01-02_00:00:00\twrfout_d01_1979-01-08_00:00:00\r\n", + "wrfout_d01_1979-01-03_00:00:00\twrfout_d01_1979-01-09_00:00:00\r\n", + "wrfout_d01_1979-01-04_00:00:00\twrfout_d01_1979-01-10_00:00:00\r\n", + "wrfout_d01_1979-01-05_00:00:00\twrfout_d01_1979-01-11_00:00:00\r\n", + "wrfout_d01_1979-01-06_00:00:00\r\n" + ] + } + ], + "source": [ + "!ls /beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYJ_scheme_10days" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T06:22:53.012447Z", + "start_time": "2018-08-16T06:22:52.983935Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYJ_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T06:23:02.959074Z", + "start_time": "2018-08-16T06:22:53.016369Z" + } + }, + "outputs": [], + "source": [ + "cont_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T06:25:45.283326Z", + "start_time": "2018-08-16T06:23:02.967446Z" + } + }, + "outputs": [], + "source": [ + "rainc_400 = cont_mfds['RAINC'].values\n", + "rainnc_400 = cont_mfds['RAINNC'].values\n", + "qvapor_400 = cont_mfds['QVAPOR'].values\n", + "lh_400 = cont_mfds['LH'].values\n", + "\n", + "pblh_400 = cont_mfds['PBLH'].values\n", + "t2_400 = cont_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T06:26:11.409010Z", + "start_time": "2018-08-16T06:25:45.291781Z" + } + }, + "outputs": [], + "source": [ + "ecan_400 = cont_mfds['ECAN'].values*86400. # mm/day\n", + "edir_400 = cont_mfds['EDIR'].values*86400.\n", + "etran_400 = cont_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T06:26:47.213698Z", + "start_time": "2018-08-16T06:26:11.417527Z" + } + }, + "outputs": [], + "source": [ + "time = cont_mfds['Times'].values\n", + "xlat = cont_mfds['XLAT'].values[0,:,:]\n", + "xlong = cont_mfds['XLONG'].values[0,:,:]\n", + "landmask = cont_mfds['LANDMASK'].values[0,:,:]\n", + "landmask_midpoints = landmask[1:,1:]" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:01:33.335331Z", + "start_time": "2018-08-15T03:01:32.397070Z" + } + }, + "source": [ + "prw_400 = numpy.load('DATA_prw_400.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 1000 data" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T06:26:47.231975Z", + "start_time": "2018-08-16T06:26:47.223120Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_MYJ_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout*.nc')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T06:26:56.760262Z", + "start_time": "2018-08-16T06:26:47.240055Z" + } + }, + "outputs": [], + "source": [ + "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-16T06:22:49.652Z" + } + }, + "outputs": [], + "source": [ + "rainc_1000 = phys_mfds['RAINC'].values\n", + "rainnc_1000 = phys_mfds['RAINNC'].values\n", + "qvapor_1000 = phys_mfds['QVAPOR'].values\n", + "lh_1000 = phys_mfds['LH'].values\n", + "\n", + "pblh_1000 = phys_mfds['PBLH'].values\n", + "t2_1000 = phys_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-16T06:22:49.657Z" + } + }, + "outputs": [], + "source": [ + "ecan_1000 = phys_mfds['ECAN'].values*86400. # mm/day\n", + "edir_1000 = phys_mfds['EDIR'].values*86400.\n", + "etran_1000 = phys_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:02:17.264099Z", + "start_time": "2018-08-15T03:03:23.232Z" + } + }, + "source": [ + "prw_1000 = numpy.load('DATA_prw_1000.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# get time stamps" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-16T06:22:49.720Z" + } + }, + "outputs": [], + "source": [ + "time_datetimes = pandas.to_datetime([i.decode('utf-8') for i in time], format = '%Y-%m-%d_%H:%M:%S')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-16T06:22:49.724Z" + } + }, + "outputs": [], + "source": [ + "skip_time = 24\n", + "n_intervals = 8\n", + "hour_strings = ['00','03','06','09','12','15','18','21']\n", + "\n", + "times_00 = [t.hour in [23,0,1] for t in time_datetimes[skip_time:]]\n", + "times_03 = [t.hour in [2,3,4] for t in time_datetimes[skip_time:]]\n", + "times_06 = [t.hour in [5,6,7] for t in time_datetimes[skip_time:]]\n", + "times_09 = [t.hour in [8,9,10] for t in time_datetimes[skip_time:]]\n", + "times_12 = [t.hour in [11,12,13] for t in time_datetimes[skip_time:]]\n", + "times_15 = [t.hour in [14,15,16] for t in time_datetimes[skip_time:]]\n", + "times_18 = [t.hour in [17,18,19] for t in time_datetimes[skip_time:]]\n", + "times_21 = [t.hour in [20,21,22] for t in time_datetimes[skip_time:]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PRW differences" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:05:23.557774Z", + "start_time": "2018-08-15T03:05:23.354091Z" + } + }, + "source": [ + "prw_diffs = prw_1000-prw_400\n", + "prw_diffs_time_mean = numpy.mean(prw_diffs[skip_time:,:,:], axis=0)\n", + "prw_400_time_mean = numpy.mean(prw_400[skip_time:,:,:], axis=0)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PBLH differences" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-16T06:22:49.784Z" + } + }, + "outputs": [], + "source": [ + "pblh_diffs = pblh_1000-pblh_400\n", + "pblh_diffs_time_mean = numpy.mean(pblh_diffs[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean = numpy.mean(pblh_400[skip_time:,:,:], axis=0)\n", + "\n", + "pblh_diffs_landmask = numpy.copy(pblh_diffs)\n", + "pblh_diffs_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_400_landmask = numpy.copy(pblh_400)\n", + "pblh_400_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_diffs_time_mean_landmask = numpy.nanmean(pblh_diffs_landmask[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean_landmask = numpy.nanmean(pblh_400_landmask[skip_time:,:,:], axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# LH differences" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-16T06:22:49.788Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "lh_diffs_time_mean = numpy.mean(lh_1000[skip_time:,:,:] - lh_400[skip_time:,:,:], axis=0)\n", + "lh_diffs_time_mean_landmask = numpy.copy(lh_diffs_time_mean)\n", + "lh_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "lh_400_time_mean = numpy.mean(lh_400[skip_time:,:,:], axis=0)\n", + "lh_400_time_mean_landmask = numpy.copy(lh_400_time_mean)\n", + "lh_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# RAINTOT differences" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-16T06:22:49.792Z" + } + }, + "outputs": [], + "source": [ + "raintot_400 = rainc_400+rainnc_400\n", + "raintot_1000 = rainc_1000+rainnc_1000\n", + "\n", + "raintot_400_diff = numpy.zeros((raintot_400.shape))*numpy.nan\n", + "raintot_400_diff[:-1,:,:] = numpy.diff(raintot_400, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "raintot_1000_diff = numpy.zeros((raintot_1000.shape))*numpy.nan\n", + "raintot_1000_diff[:-1,:,:] = numpy.diff(raintot_1000, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "# monthly mean\n", + "raintot_diffs_time_mean = numpy.nanmean(raintot_1000_diff[skip_time:,:,:] - raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_diffs_time_mean_landmask = numpy.copy(raintot_diffs_time_mean)\n", + "raintot_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "raintot_400_time_mean = numpy.nanmean(raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_400_time_mean_landmask = numpy.copy(raintot_400_time_mean)\n", + "raintot_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# T2 differences" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-16T06:22:49.796Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "t2_diffs_time_mean = numpy.mean(t2_1000[skip_time:,:,:] - t2_400[skip_time:,:,:], axis=0)\n", + "t2_diffs_time_mean_landmask = numpy.copy(t2_diffs_time_mean)\n", + "t2_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "t2_400_time_mean = numpy.mean(t2_400[skip_time:,:,:], axis=0)\n", + "t2_400_time_mean_landmask = numpy.copy(t2_400_time_mean)\n", + "t2_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ECAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-16T06:22:49.801Z" + } + }, + "outputs": [], + "source": [ + "ecan_diffs_time_mean = numpy.mean(ecan_1000[skip_time:,:,:] - ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_diffs_time_mean_landmask = numpy.copy(ecan_diffs_time_mean)\n", + "ecan_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "ecan_400_time_mean = numpy.mean(ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_400_time_mean_landmask = numpy.copy(ecan_400_time_mean)\n", + "ecan_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ETRAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-16T06:22:49.805Z" + } + }, + "outputs": [], + "source": [ + "etran_diffs_time_mean = numpy.mean(etran_1000[skip_time:,:,:] - etran_400[skip_time:,:,:], axis=0)\n", + "etran_diffs_time_mean_landmask = numpy.copy(etran_diffs_time_mean)\n", + "etran_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "etran_400_time_mean = numpy.mean(etran_400[skip_time:,:,:], axis=0)\n", + "etran_400_time_mean_landmask = numpy.copy(etran_400_time_mean)\n", + "etran_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# EDIR differences" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-16T06:22:49.808Z" + } + }, + "outputs": [], + "source": [ + "edir_diffs_time_mean = numpy.mean(edir_1000[skip_time:,:,:] - edir_400[skip_time:,:,:], axis=0)\n", + "edir_diffs_time_mean_landmask = numpy.copy(edir_diffs_time_mean)\n", + "edir_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "edir_400_time_mean = numpy.mean(edir_400[skip_time:,:,:], axis=0)\n", + "edir_400_time_mean_landmask = numpy.copy(edir_400_time_mean)\n", + "edir_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-16T06:22:49.812Z" + } + }, + "outputs": [], + "source": [ + "mp.pcolormesh(raintot_diffs_time_mean_landmask,vmin=-0.01,vmax=0.01,cmap=cmocean.cm.balance_r)\n", + "mp.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-16T06:22:49.816Z" + } + }, + "outputs": [], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-1,1.1,0.125)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#dry_lon_lo, dry_lon_hi, dry_lat_lo, dry_lat_hi = -60,-50,-10,10\n", + "#wet_lon_lo, wet_lon_hi, wet_lat_lo, wet_lat_hi = -80,-75,-10,10\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-0.5,0.51,0.1)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "# levels = numpy.arange(-.75,.76,0.125)\n", + "# ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "# ax6.gridlines(ylocs=[0], color='0.25')\n", + "# ax6.coastlines(resolution='110m')\n", + "# contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + "# levels=levels, \\\n", + "# cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "# ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "# ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "# ax6.set_yticks([-20,-10,0,10])\n", + "# ax6.tick_params(labelsize=fontsize)\n", + "# ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "# ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "# title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "# ax6.text(s='mm', x=0.05, y=0.03, \\\n", + "# ha='left', va='bottom', \\\n", + "# fontsize=fontsize, \\\n", + "# transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "# bbox_position = ax6.get_position()\n", + "# cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "# cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "# #cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "# cbar_axes.tick_params(labelsize=fontsize)\n", + "# cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('figures/MYJ_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-16T06:27:26.645Z" + } + }, + "outputs": [], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.5,4))\n", + "ax = fig.add_subplot(111)\n", + "\n", + "lon_mean = numpy.nanmean(raintot_diffs_time_mean_landmask*24., axis=0)\n", + "lon_mean_smooth = pandas.Series(lon_mean).rolling(window=7, center=True).mean()\n", + "ax.plot(xlong[0,:]+360., lon_mean_smooth, c='firebrick')\n", + "ax.set_xlim(280,320)\n", + "ax.axhline(0, c='0.1', ls='--')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## for cesm talk" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-15T03:08:31.076Z" + } + }, + "outputs": [], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(11,7))\n", + "fontsize = 18\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "levels = numpy.arange(-.75,.76,0.125)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['','',''])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['','',''])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['','',''])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['','',''])\n", + "\n", + "fig.tight_layout(h_pad=10)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='$\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='$\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='$\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='$\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='$\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='$\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/cesm_workshop_precip_lh_etc_maps.png', dpi=600, transparent=True, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot climatology of these variables" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-02T05:41:27.287058Z", + "start_time": "2018-07-02T05:41:19.109426Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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1dK+g8EDqh/pSlHuj2m29qKiI119/nc6dO7Nx40bddss9veZSYwROU/33GgeaauQZVGdPJVPbL4h27dpVW1+ysrJ45ZVXWLr4M/p1f4R+/fqRnZ3NP//8g6+vL6tWraq2vtyrFBUV8fDDD9/ublQ6g15czpxDCQbbYm44ApC452+GDh1qarcqY+vWrXSJ6kyPng9z5MgRPvzwQ/Ly8njiiSfo0qULNWEWZk3nbrX1c/+e0IkcfbLO7OeB+1rQrFmzautLamoqgwcP5pc/V+PzYCh9+/alqKiIdevW4enpydatW6utL/camZmZ/Oc//6Fjx46MHj26UtuuMQLnx1nbyEjJ1gkbkKeJWycX4u3tjY1N9Yy2rV69mtDQUPYeXsnr/+3Fn5u38Pjjj+Po6MhXX31F8+bNmTx5MuvWrWP//v3V0qd7jWPHjhEWFsbx48dvd1cqnz3LufrnL7qPGfnyU6yntzPeZOPv718t3UhKSmLgwIEMjB7AWzOn4uvvy65du3j66ae5cOECW7ZsITU1lQ8++IA///yT9PT0aunXvcbdbOt5mz+gICutxPY3HvTBz8+vWmbFSpLEzz//TGhoKNvi0wge8CpHtuzmqaeewsrKioULF3LfffcxYcIE1q1bx5EjR6q8T/caX3zxBX369GHr1q3Ex8dz+vTpSmu70gSOEOIfIcQDep8fEUKcEUJkCSF+FkK4KNuthBDfCyGShRBjytv+y0PGs3rOcR4ImW6wfdvuS1X2dHPixAm+++47wsPDEUIghKBXv4E4dwvH+ZlmTF/wHTHJ1+nQoQNRjzbil+Xf4+Gfgl/9XKZNGsLDXTvw5ptvWp5yK5mQkBD27dtHQEDAbTl+Vdr61q1bOfTtb3w0dyFaOy/mHEpgyZ9FXD10hKysrCp5qs3NzWX58uWMGzcOT09Pgls0JrhJQ2xcrdj47zrSszMYPHAYY8eOZdWqVfz3hedBwFuz3mDthtVMeXMSbdq04fz585Xet3ud22nrVX1PHzeoN+KHCcwK8QZg2VcHOH/gAr/99htdu3at9PMBOHToEN9++y2NGjXC3rsuTnUaEf3y69j3mYztQ6P4552J1Cqyp0WLFjTs0Zu1f23C+4EmWNepxbhZU2nfuRPvv/++5Z5eiYSFhdG9e3cAnJ2dycjIqLS2bznRnxDiEeAJYBjQVpKkXUIIN+Ac8F9gC7AQuCZJ0qtK/fuBecDPQH9JkkodbBVCSPn5+dja2uIR0ZbwIe66WJzru2PYuOIUZ84nYWVVeQ6ppUuXMnr0aLp27coPP/xgUObgPA63dja0D9/Csjk7cPPVoGnZjDrt7HH20ejq5abncvbzfYz671gmTZoEyO642NhYHB0dDYKiCwoKOHDgAOnp6WRkZHDjxg0KCgqIiYnBwcGB/fv3s3//fqZNm8aTTz5ZaedZFVy8eJEmTZpU+dh1+/bt2bZtW5n1Kiv5WVXbuhBCUmO73njjDXqv2sfJk/ITblFeDhfnD+HXrxbSo0ePWz0VHXFxcfTp0wchBEFBQUgtG3JfcC1y7e0R/o1Zd8iJR5pl8NkTz3Hl0lWeGfgUjz/xHyK7dMTBwUHnYXr2jU84/eP3nD17FicnJwoKCkhMTCQpKYmQkBADD+uVK1e4ePEiGRkZZGZmkpubS15eHocOHSI0NJSffvoJGxsbNmzYUGnnWVXcjbZeXff0jIwMXFxc8HlsBGnaCF1ZwckNtNPEsGXLlls5jRJ8+umnTJ8+naioKH7an0RAj34UZqXhVL8ZwsaW8wcuEBEQx7ZZk7H3qU+t1t1wCetA284hujZ2bTrF5cUT+WDaeEaMGIEkSWRkZBAbG4tWq8XPz09XNy8vjwMHDpCRkaG7pxcWFnL58mXc3d3Ztm0bhw4dYt68eXTr1q1Sz7W8PPXUU7i7u/PZZ58BkJCQgI+PD++//z6vvfYaADt37qRjx46kpKSg0WhKa+6W+Pjjj/n111/5+++/y/TeldfOK2Ncp73Sjr5B9wT2S5K0QunMbGAN8CogAGtlHwGUS2HZ2NjQvn17TmPHxmFrUEPAQl57g0LrU/zyyy/069evEk4Hzp8/z2uvvUav18M5hjsY6htysuYCE3HU2AFQK8IPx0YPk5YKkkMyGteLZKbVJz3OA9uWvkyeMoUZM2YgSRJCCPz8/EhLS2PWrFm88MILCCH48ssvGTZsGA899BAuLi7k5+ezbt06ANzd3bGzs6N169acOHGiUs6xJjBz5kzWrl2r+xwVFcWbb755+zpUTbbevXt33njjDVAePrx8NCTGg0fX/zJ9+nS6du2Kra1tpZzQyy+/TNP7mvDGzEl8f+EqAHlAV39blpy2BiAu2xkPLw+uXLrKnM9mAZBPAQ6Ai62G3y/vo0XfJzm8ah3u7u5YW1uTl5eHu7s7Dg4OBAcH88MPP+Dj40NqaiqtWrXC1dWVBg0aoNFo+OWXXwz6tGzZsjtexFc2d5itV4udazQamjZtSrKd4cQR60ad+Wf1FDZs2FBpnpz9+/czc+ZMtIPmcdCzNrZcwMGv5OwtOxc5uWatNo/i0aGPQRv7DqZi6+aDV9doXhw5ijFjxlBUVIS1tbXunv7RRx/x1FNPIYTggw8+YMKECXTu3BkXFxfS09PZtGkTAP7+/mg0GmrXrs2ZM2dum8CJjIxkwYIFus8bN25Eq9WyYcMGncDZtWsXERERtyxuzNl4QUEBTz/9NFqtljVr1lTq0OQtuzwkSXpDkqQXAP2FRZoDB/Q+HwV8hBAa4E8gBLgA/ClJUsmEH2bw8PAgO67QYNuJD97m0vkURo0aVWmKf8eOHVjXt+OSqz0a14uEjp5aok7dyOvs/PoI9913HwmH0ijKl/P0pMd5GPzNT6+L70NjCXjhVeoPeZV2HzzE9A8foPfE+5gxazyurq40bdqUyW+MZsLbnZk8MpCXoz15aaAXwXV9GDlyJNevX6ewsJCDBw/i5uZ2U+e0efNmQkNDGTlyJM7OzrRp04aVK1cSFhaGl5cXc+fOLVcdcyxatAgfHx88PDx0TwMqixcvJiAgACcnJ9q2bcvhw4fp378/U6ZM0dVZuHAhHTt2NNhv0qRJbNu2Tfe6zeKm2mw9Ly+PRo0a0aPWUdJ/GIdTYRJePhqCu/bgsmRPdHQ0+fn5ZTdUDrZt/4dBw5/DysqKAcH1ANh7zY3EnGwAJjyUTtDx7dxIz0aj0fD3n5sBWdgAfHbyOHsTZJt8dvFCpmxdyet//cLwvzYT8t5qnEcuJta7AfXr16dBgwYENQxEE9ER/8lLyH7mLRJ7jqfRoEk0btyYxx57DIDPP//8lmKNLLZ+a1TnPd3d3R0kiYLTf5N/+HeCwgMJbtWAuv3HMGDAAPbu3VsJZwTbt28nq044dp61gZIJBoPCAwkI8WHvZ/No1aoVGcd3IBUW6Mr1g6G1LSJp8s5aAqb8QuDU36g/fTX2wxeR3nokw8ZNwN3dnZCQEKbO+5j6oz4mrvsUzrR/hZjOo7F18+HVV18lJiaG3NxcTp48edP39MogMjKSo0eP6masbdy4kTFjxrB9+3bdPWbnzp0lskrfzPVjzsYXLVpEs2bNWLx4MU5OTpV6flUVmasFLqkfJEnKFUIUAFrFdflUWQ0IIYYCBlNGpkyZwtXhw9lnon5iYiJPPvkkX3/9tVkX/s8//8zZs2cJDQ0lKirKrCLdv38/9t71dV6YlCP5hI6eita3+Hp/jitMzbDi+KndBAR5QPYxsG2pK/dvLPdS61tfty2yTixNNbXwy3OgYyMvOs7vgXOyICYunaCACOzsir8OOzsbJo99kB+Wr6dRgD8xyek89thjPP/882X858xz4sQJXnzxReLj4+nSpQujRo1i8+bN5Obm0qJFC5YtW1ZmnaFDh+Lq6mrQ7tmzZxk3bhyrV6+mWbNmDBw4UFeWnp7OSy+9xM6dOwkJCWHSpElMnz6dfv36MXv2bGbMmAHA2rVreeKJJ2763G4jt2Trpuy8TZs2dOvWjZd6vEh25g3EJ1MZOGsCmU518Jg8j13vvkr//v1ZunSpyRvC1atXWbx4MVqtlj59+lC7dm2sra1L1EtISOBGdjZ1A4qHSgcE1yPKP5bor604f+IcG0P8yP/1B14fPx4bGxvmzZuPV2tZCCXm5BOT6UZMmqNu/+dDBRpbFwAyQzMAJ/jv89Rf/CYXzl0kpSiVeoF1yczPAPIZs84W38jHuZyRwvaT+/Hz8+Py5ct8+eWXZf3fS8Vi65VOldzT3377bUaNGkXc0aMAZBy/H01IWzSNWyM9+jI9evRg2bJldOrUqUR7kiSxZMkSYmNjad68OZ06dcLZuWQGcJDv6Y51Guk8NSpB4YG6bd6aFLztbdi1axeufrXJiTmHY93GJtuzsrVTcvgU06rl48DjtHA6S9LVOK5o22BlI3ta9x1MxdrBmTrPvcWXW5Zh51Of5OQkoqOj6dOnj4kjVA8hISF4enry77//0rlzZ/766y/++OMPVq1apRua2rlzJ4MHDy6x781cP6bYtm0bZ8+e1Xm3Pvroo0rL1l5VAicV0N31hBB2yrFSytuAJEkLkcd5EUJIABEREezcuZO5c+cSFBTEBx98wL///qvbJzExkREjRrBgwQIefvhhrKysKCoqYvXq1Xz77bf8vuEvnHxdSD15CStbGx7q2In58+fTtKk8CT0nJ4chQ4bw/c8/4hrai4PTncjJeguA2A3g13UibmG29Iw4irOzM24uRXz44YdkpErEfLESB+fGBA2TT1uXr8dFXh26qcYBv7xakAc+1mGQJ0fj+9QKo6HedRJfWBylX692LV5/Sb6wE5Oz+PjznYwYMYJvv/22vP9GA2rVqsXIkSMRQtCiRQsefPBBgoKCANBqtcTHx5erjrHR/vTTT/Tt25f27dsDMHXqVF38hJ2dHXv27CEkJISrV69iY2NDcnIyPXr04LnnniMmJgZPT0/++usv5s+fX6HzKU9MQjVwS7Zuys6trKyYP38+PXv2JCEhgS1btvBZvyF0eLobDwwZgv/sOWz7+CN69erF+vXrdbFnFy5c4Ntvv+W9j/9Hkw5t2ff7OkaPHo2vry+jR49m7NixOvfv2rVrGTp0KE3DQhFCcCTlPIk58hPb7BX2nD8RC+fPcj4+DjufKEZNf48+HVvR8P4wDl2XbxsxmRpi0hzxd82me71MvBwcaahtWHxyStJClUZN5LKM/Ew0NvLDxYSHzjN7kxanNk8S0HMQkiQRt/l3/tO3HycPHdDZXkWx2HqlUyX39E6dOrF7924++OADAgICeO+997jyz7e0nzQT12d6sNVew9NPP82yZcto27YtVlZWFBQUsGLFCr755hs27D2OtbOWG+cmImzt6RbVmY8//lj3PWZkZBAdHc3va9dj2/FlrLwN+6QveOLTXcmLS+eTTz7BoagAB3/zWcNVcdO+TpKJ0lq4uNciEDl+bttVT1q1rMW+g6k41m5InWfkeMy8pGt8vWwuVlbj+eijj8r7b6x0OnXqxM6dO6lbty6FhYU0adKEqKgoNm7cSHBwMHFxcSbXv7uZ68cU3333XaWfk0pVTRM/CehP9wgBzkiSlH2rDdva2jJp0iT69+/Prl27+Prrrw3KL1++TPfu3bG2tWHatGm0adOGvgOH89vvKdi5hZAdH482uDYhwx5nzzUbmoXdz/Lly4mLi6NHjx6s/Hc/tjYjSTn4ixJrU0zshlm698ezcrnvqRDGjRuni/rOyZqr8/LszcjVvUBeXkJdWgIUkWMCc9u9PJwZMSSMP9fefI4db29v3Q+clZUVWq3RYo5FReWqY8zVq1epV6+e7rPx8MKsWbMICAggOjqaY8eOAeDi4kKXLl1Yu3YtW7ZsoVGjRrdtVtQtUmW23qVLF55++mk+//xzTpw4wcVtx7i2dQN1axXw1MShbNiwAWtrawYMGMDQoUNpdl9Lfj18hPavjOHaiVM4u9ei+2vD6fzue8z76mtCuvfg4sWLfP/99wwaNIjZC99m7Z8riMuOZcyPVoz9ooCxXxQULxPhrAEfX+wbPYCztw8bT16gZ//iWAF/TQ6DwxJ5sakT7bybG4qbcjLmRysS4zPxUoLzhRD4PdSLWqH3M/zrJTf9v7MUNzUMAAAgAElEQVTYeqVTZXbu5OTE5MmTGTBgAAcOHGDqqOFsmzmJfQdTcQ5uTn6zrrRv3x4bR2emTZuGpm4jose/xT6Hxjg3DCcv6SqaJm2o/+J89lnVo3H4/axfv54rV64QFRXFqiPJ2PX6ACtvxRsTc7X4pYewssIm/Elee2s+dh2eIaKVZwkvjTHbrnqWeX7t6ySx72BqCe+RnWdtfHqOZNGy25s3LTIykl27drFx40ZdzFNUVBQbNmxg586dZuNvbub6qW6qyoOzApgrhOiAPFY7E/i+sg8ihKBhQzM31SKJt956S/fRpWEIObH7Obh7H//88w+jxryGVdFTIN2gT58+aDQaimo15MbV44D5nBMpR/IhAjZf9WPXrOUlyvUDjHVih4sGGZj1vTTqe1XY6JcZ4+OloUDKp5arI5EPPcL7779foSfc8gRv3UyAl4+PD5cvX9Z91n+/dOlSLl68yIULF7CxseHzzz/nxx9/BKBXr16sWbOGgICAmuiyV6kWW/fx8cHV1ZU967fh2jSCa9fhhdVryU5JJWbLWhxdbHjl58W4Z1zl82mfMKh3f/r06cPjzz2LR2wabd5cwImfFtE0IgIfrZa6r3yIZ3Nvk9+3p6cz6Ynp4CN7YDo9FIh/r3fx1+QQ6m+LlxKfE+YWpIvFMYc6y8pcveiHrYjJdACKOHSu+HnLJbgpf82Zg+NnC/ls7kyio6MrNEvSYuuVTrXd0xs0aEDahTNoLx3HtpY3te7vgVvr7ty4eJRPt53Du8cQ4lMcSDy1BS7v4PieHaxatYrX35pCwLD3cfANpN/rs5DO7ye7Xgds7pdnCeoEjb/5JX2s695Hw559DISNqWSE+w6m6uoYixxTXh11SQrVk6Pi4FOf/NQEbDS16NezB3PnzqV27doV+ZfdMpGRkUydOhU7Ozt69+4NyLP2jh07xvr1682u6l4deYpulSrx4EiSlAw8BywBrgAJwKxSd7pJ2rVrx5dffkndunUBORDZVK6QoryLHN13kNDQUIYNG0azho3Jy/lZV56ZmcmNqwdK7GdMyo4CNl/149IGbYmyqAWPEnOqlckylVi7nBIvKF3YqPXi7HOZ9emjzPioO3YuFwlvGcq4ceNueyrxPn368Ouvv7Jz505SU1N55513dGUFBQUUFhaSk5PD4cOH+fTTT8nPz0eSJB5//HE2bdrEqlWrbus49K1Qnbb+zTffEFyrDjOj+vBNvz4sjx7A3oX/I6JXd/qP6Emt86eZOmASY0eOYfr06bRs2ZJVS3/gwI8/YJt0lO5jXuSFlWuoN/0nNHUbMHuTlh0Jh00eKyjED62XFq2XFn/X4of0Jaet8XJwLJe4AVnYlFZvQHA9YtIcOXRO9uScOBZPYnwm9i0e4/53l+H71CRenDYH54AQg+Ho28W9auvVaec9evTgww8/JOnrCZyZ0Y/kT0egWTeHgozrZPp2JiHbm7zVkylKvcLZQ3to2LAho0ePxtVG4toP76Bpcj/5zZ6joOd8bFv2NRQ3ZaAGH+87mKp7mcNcmbHg0f+senLU14UjV2kw8XuCXlvEz4fTqRPUmGnTplFQUGDcbJUREhKCtbU1a9asISoqCgB7e3vatGnD0qVLzQqcmkClCRxJkupLkrRL7/MqSZICJUnSSJI0SJKkKlu4ZtCgQZw5c4bNmzcTFxfHokWL8Pf3x0bjhUuDSGo1bYmNfYHBSswPP/wwzvUqHsiUkzWXXeM/wS2seJquX9eJOnGjrnqeciRfN5MqM60+ezNydaugG1MekaNykSKu2Qp69mvKOx/1YPvmn+nXr1+lzaq5GcLCwpg3bx59+/alcePGPPLII7qygQMH4urqire3NyNGjGDevHmcPn2aTz75BG9vb8LCwnByciIkJKSUI9xZ3C5bDwwM5Pvvv2fPnj0kJydz+PBhekS05dsxUxnZpj+BDetjY2NNeHi4ztvh6+uLo8aJ5uHykIgqJFTWXdYwZp0tXj4aQpr6AOiGqDp2qkfHTvXYuOMGh85ZsfeaG/6aHGbv0RCXHVvufmfkZ+o8OepfFeNlKVSEtTXp+U441W9K/VEf49GhLw9EdmXnzp3lPm5VcC/Z+u2ycyGEHHgcF8f27duJi4tj/vz5FOz4mdzVUyg8txUrnyZo3LUGw4W9e/fGpWl7042a8toooicoPFD30h9GUkVIaeiLHH1RNH+1DduueurEjakhKpXLp69j6+qJbYve2HefyowFyxg0aFC1DvFERkbSqFEjfHx8dNu6du1KUVGRyfibmsItJ/qrDtQEaBVh//79TJkyhT/+2oJLUDBpJ48QExOjS8R09uxZ2rZtS1KSqSCxsgkdPZWeEUfZm5FLZlp9gBKeG7cwW90wlbpYqP5SE4BO9MhByIZl+qgiSF8kNdU44Jlly5tz/6Z1u8dva6DazTJs2DCCgoJ4/fXXq+wYlZXor6q5GTvPycnhyy+/ZOTIkUQPf5Yln3/HjBkzmDx5sq7OwIED2R0Ti++At0hOln+TQpt64O+aTUyaI8ePyTaalJQlD00he3CiH5ZFzfFjyQaiJzEplwkPpdPOu7nuGPrCJS47ltl7NCQm5dK9xY0Sbaj07+lFTJojiUlyn04ciwcgPTEdrZd8LXl6Oit5gDK5tnsLN/74HxdOHKl2N35lYLH1Ym7G1nfu3MmYMWPYd+YKdt71yDy+g9TUVF0g64EDB3jkkUdwfmoaTgGhOkGhemVKCIyYq+Bfx2DKuCkRYjylXB/9+sYCybiNssSSepxze06St/lDpgx7yiDMwkIx5bXzu1bgAOTn5zN27Fhq1arFq6++WiLfwPbt23n22WeJTehMXvZXFW7/gTkjiawTy+arfrrp5MaoIkfjehGgxGro+pgSOaqw8ctzKCFyVLGUdjyDmR9uZuXqTbRq1arC53E7yMvLIyUlhVatWvHvv/9W6RpLd/NNX2XlypVs3LiRRx991MCrAPL/etSoUaw5d51a3UcCcuxLlL8tiTnZLD7ixfFjyfLMqfg4AIIiw5nQK5eYG44s+bNILkMWPvP6FxmIGzAUOH/HnmL2CnuSkrLw9HSWhdPR05BllNw2qAFtIhuSGJ9ZLK6U4+Pji9ZLqxM4KodmjaB2xAP8+/mcSs+ZUVVYbL0kN2vrWVlZjB8/Xjcz0Hha+B9//MGQIUOIDx+FlcaToPBAXayM6m0xNVVcjY0xVWYOXV392B5zQ2H6HiT9Onrb9Y+VeWoP8WsWsOePFZU2Zfpuorx2XmMW27wZbG1tmT9/PtOnTzeZTOnBBx9k4sSJ4Ljppto/OF2+wapDUSDH6KgvKB6qijnViphTrVi5txmbr/rpZldB8YwrdaaV/ksVM/ozsIyxqWdP08Y+PBzVgYULF97UuVQ3//77L4GBgbzwwgvVtoDk3UzPnj353//+V0LcgDx9ee7cuaQe2UH2lVMA+Dtlo7F1wcvBkYjaKbJ3RRUXyB6e0FpaovxtiX7YShePA+Dl4GjQvn4gsYuthsfrtSK0qQeenvKPj6ensy5g2YD4OHZvPqMTT4AsgrIydX3RFzcAPg/24Oq/26nbqi3JycnUBCy2Xnk4OzvzySef8MYbb5jMefPII4/w4osvUnDgZ4Pt7eskGc6IMiFEypoxpVJi6Mq/TrFQ0X9vDnNiRw8Hv2AcfINofn97fvrpp3L1y0JJqmcJ7juYvn37Mn78ePJuoQ2tbzKXNmh1okadXp6yY5zyt6DElHO/rhPJ7JpOZJ1Y3RDXXi4aCB+VvRm5Jj0/+p6c6DH3M+BSHhOmjiUmJobXX38dR0dHioqKOH/+PPHx8djZ2dGyZctKS/N/K7Rv354bN27c7m7cM7i6uvLM44+y+spJHOs2JuaGI5n5GRxPTWfdIQ/Sjxanz9Q2a0RE7RTAVknad533XlBvFbk01Jpe8FMVOnMOJbB1SyKATuQEhfiR5KUlffd+w51UUaWIJ5wVQWMkiLw87UlMysW343+wahRJwtpF1AuLYO9fa2nSpAlCCK5fv87ly5e5fv06zZo1w9vbKOnJbcJi69VL3759+eyzz0hA9bIEAp7FHhozomLfwdRyDSWVC2ORU44ZXPrYaN2p/cwksjf9Q/9BI7h27RojR47E3t6ewsJCzp07R0JCAk5OTrRo0cJkIk8LFoGDo6MjhYWF2DuOIDf7s7J30ENN6mcOY1Gjj5xTZyKblaVW0uM8DDxB5xcUz1wJGubISuTsyBEu9iUEj07oBDgwaU4Un837nJmzZuDm7ogkSdzIysevtguF2UXEJ2bSsVMXunXrRu/evXWzzyzc/Xh5eZF3Uvbg7L3mRgv3RGJuOBoEHYMcGxPlLy+JsuLSdd7/PoOQpj5819vT5IwoF1uNTtwcSTkPFAcsG5Me1ADOn9Xl2FHx9HSWh7O8tAbb1Bw5iUm5uvdCCJr9dzTXNvxMizYPIhUW4FIngJTTR3Gu24AiG0dyY89j6+rJkCf/Q69evejUqZPBgp8W7l7c3d25evUqtoX5CGszD3OK0HhyULhuk37MjjmRU1qMTYl6+qLGWNiYEDrnD1wo0U6DhzpwztaBsbM+Y8z4CQgnd6TCfCjMR7j4QF4WUnYqjz3ShR49etCrVy+DBT/vde7qGJzysHz5cv47djBpF8xPBzSFg/M4Vn+TzOzkeMPZUya8Neb2d2tng1uYLf6N95XZRujoqbrlH1RKi+cpLCgiNT6Lfy+k4NbYgwe85CfpekWCk0cTOLDnGof+vUY9Hx8+//r7Gh0pXxZ3e1xCefEMqIOmx1icg1sQ2tSDng1jimNsNsspEoIiw1k+RJ75seLSddYdcsLL056I2im6tapKm/a9I+Ew6y7L5Rt33NC1i4+v7MVR43H0Ucq8fDQ6T42+6NIfplK3qwHLnp7OFGSmkht/CSsHJ+rdF05ifCZSUSE5Mecg5gixuzZSkBLH6BeH8fbbb2NnZ3cL/8U7G4uty+uBDX3jQ+wekheLLBFjoxdcrA5LLfvqgK6ucXCyMcaBxbptSru3irmgaKmwACkjHikrCSvfUJ14k7LTKEo4TeG1gxTFHEa4+rPvj58JDw8v0fbdQnWuJl6jadmyJdnJFU/GufqbZDbmpeqGl/RxcB5XqshxcB5n4P0x1YYxKUfy0frWJ7JObAkPjv6wlrr9QHY+aO3wauFjUGcvQKCWB5t7MXjU/ZzfFk/PR7vxzuy5DBs2rEYkb7Jwc3Ru0471Vy6T7doAkL2F/k7ZePl4cF4J6p3QK5fM/Axm79Fw/FgRoU3t6dkwhs5+chbY0sTN75f3EXPDEX9NjpK8jxKBxZ6eztCsUQmRI8fhyE+eXp4lhbuxsAF5tlX60dOKJ8gbravWICsyfvdBq/uo95/nyEmK49NFM9mxowvLli3D19dETJCFu4KWLVsiZZUSn6WIEFOBxRUZniotAPlWMNcHER+HAKjdwnC7oyvWAa2xDmiNVFhA0aV/ua9tR75d/DnPPvtslfSxpnDPC5zAwEBqObgiNe9D4rayh6iiFjzKc36ubMxMZfPVYlegW5itzgNTlgcnJ2sux98v/ix7c/J1uXXktiYatKnPc37F63sY59YxFcNjCl29Vm5MavgQ82a+xaFDh0qsjmzh7qFt27a4nzrFb3rbYm7IQls3Y8mhiCWnrUlMyiUpKYuI2lY6cWOKHQmH5UU3bzgSk1kcyB+T5khSUqLuc1CIIl58NPKQk6dzsXdHQRUvifGZTOiVy8oz/rop5MZTzA2Ij9MNd6n1jIOTHTx9qfv8DE5uXELr1q1Zv369bg06C3cXLVu2xCE/laK8Gwg7eSKIsZAJCg8sNTeNMfoZiE0ORxlhdmq6CW4p7sfIaySsbbAOaodwr8fA4aM5duwYM2fOvLm27wLueYETGxvL9cwUCsohbkJHTyXC5SifnCy+katxMylH8g3WqqoIOVlzSdkxziB5YEBXOR+J1rf4GBrXizTVuOKX54CPdRjxhUf4JiPNwAOkTkcvD6rIidDa0/PN1nwzfgnBwcEMHz7c7ErrFmouBw8e5M80LdQCf9dsvBxs2Zsge1r69/QiwjuFxBxZnCTGJzP6GRfdsBQUe28y8jMNFueUxY3cjrqyuCpMCGoAFAsOdQgqtKkHXj4dTHpmAPYmuPFhRxfAhVe3ZnDCxPlovbSkgyxw4uNI1xM6+qjH9vbTIh5+niRbB0aOHMm7775LmzZtKvZPtHDHc/r0abJxwN7WfF4xk+iJBVPeGePp5iUwsW9ZOXaM65VL6JQjK7NVrTrYdZvCnP+9Qd26dRk0aBAODhX8f9wF3NXTxMtDZmYmRQWmA9EemDPS4PPEyLOs3NtMFxCsCo/zC7JvWtyoBA1zxL/xPrS+ybq8OerLv/E+XYCxPrF2Obp1r9SXKnaM65Y2DLY3I5fD+YVEDQln0ZdzDNLPW7h7OJGZTMb+9TRuWIvu9TI5dN2GmDRHBrdNJibNkZVn/OUhJtdsJvTKLSFuYrPjOJN+hr9jTxmIm9LQemlpE9mQ7i1u0CK4ODOrfpyNfjwNyFPUx7cwPQNKTUSoIz6uxDBYemK6wdRz9ThenvaENvWg3eBBnHOuS/uoR0hLSyu1/xZqHtnZ2VCQS9HlvQZxNqYICg8sXnjTTPxMeaeP69pT0J9OXt7gZFOLgOq2VxBh54xVq4GMnPIu//vf/yq8/93APe/B8fDwoLaPB1euGE7jDB09lfTitCA4OI/jm9jjutlNaoDw8fcrL9NkhIs9uJiPsdENK2kglj1ml37Qb0/dR/XsZKbVN+vlCQzzoU2QB2+PX8D06dPv6mDMe5HHWtzPmRNxePtqANkuEpNyiantqFtvKibTAX9NjsGwlIuthjPpZ9gYow6Xli5qVNQkfV6e9uy9JntuvJRlebw87XWxNsePGe4nT1F30c3O0l8LS6s3y8pA7GRlyjOz1BlaQJIy7KYiH98eG0cntA/9l/SYGJYsWcJLL71UrvOxUDPw8fHBx92FFCd33TazgcEm0BcdNytujD+bG9bSnzml648poVVaEsFSxJl1nXCEsycfffQRY8eOrdCCtXcD97zAGTVqFFeuXCmx3b/xPjLT6uPXdSIAc166xKzNrYDim21lipuUI/nsbSwLG31homIuV47+1HL9usYrmKuUNYTl5aOhSZMmbNq0yWTSOAs1k7179zJj3nxavb2U2m7F9uPlaY+/UzJ7r7mx+pejurw0MZMciG4kTxWPy5YX2QTDXBv+GtMCWx2eUoeGtm4pXnE7US8zsXE91dOy95obA4LhTPoZuS9phsOlanZkgyEqE6QfPQ3NGpWYbg6y10gEtWP58uUWgXMXIUkSgwcPJtn7AWy85OFR4yGlEhmIwaxA0F813BzmBFN5g5BLJA28GUoROVZuddFoNOzdu5f777//5tqvodxbck6P3377jf79+7Ns5Z8my7eNDmXX+E8I6JrOnJcu8clJN1KO5OPWTtaEKTsKcHAeVyl9UduJOWV6mQVV3KgZkTPT6uteKqaCkQGdYFJf5rar62T55TnQu3dvli9fXinnZuH2kpiYyOjRo+n06OMEP/MqdRrWUWJt8vF3ypbXo7qhrAd1/qxuuGfh4nNEf53L7D0aRdyURDdTytyx4zNL5NjRx9RsKYDjx5J5dWsG0V/nEv11LoPDioOV9T0yJTw4xktBGAUeG/fFrn5L9u/fT2JiIhZqPt999x29e/fmz+2HsW7aw6BMXUyzBHo5aszVKW1F8dIoT8xNhbiFKej36j39nhQ4Z8+eZejQofz0008U3rheotx4mvc3sWklFtLUr3uzODiPM9hf65ts4J1RRUx6nIecKflIvm7pB+PEgGqAsvEK5sYYCx0VdV2rWLscfJx2s2LFCgoLC2/63CzcGbzyyit8+scBbDsNo+l/euqCi70cZHuJ8E4hJtNBt9ClitZLq/OsxKQ5lnipxGQ6lBA65oSLvjgBJdBZGary8rQ3mPmkLgAK8orn+vvqLwqqw1lT/ALdWlbm8PR0RtjaQ/1wVq5cabaehZrBgQMHGDt2LKtPgF3YswgrmzLjb8ytA2UK/ZXCy0tVTSM3SRni57391vz666/UhLx3lck9OUS1d+9e0gvNL9SnL240rhfZNjqUnCw5iNhY0JQnqV9ZxzFuc29Grs6bI3tmDGdoxW6Ql3rQn3VVGqp4KS1m51hmjq6eqGuHi1MBU6ZMYdSoUTVy5WYL8sKEv2/ZhVOXkdj6N0YIQYR3Cl4O8g9/Yk4+exPc+HFloiwYFHGgVYZ1bhXjqdrqNlMCSI6zcdSLy0nW1d+4I1PnhTGYbaW3MCcos6qUvDjmxI06VKW+EjK68sr02fj7+9O9e/ebPVULt5ldu3aRUFALO7/wEiuEm1tIU6WyhEh5pnubm25e5uwpdQjKeB2rcnp1hFsAZ2NTmDlzJkOGDLljljGpau65TMYpKSm4e7hDGc35dZ1I076HFXFz8yKmvPh1nUhA13Q0rhd1XpvyZEfWTxqo9S1+6tW4XtQNO5WFKeGTcDmNIytP4+vRssY/4d6r2V1HjBjBV7/8jqbPW/g0CCaqnRPd68nDNIeu27DukBMnjsUXr+KtCAN1mQVznhjAIPBXnxLTxBW8PO2LA5n1PEDqNv3kgDFpjgb7q6uN66Prc1ambiq67rOzBm2zRiX6pi/aVPFVVFBA+q4VnPhhAQd27SA0NNTsOdcE7kVbv3jxIoGBgdgERmET0MFA4FSXuCkP+t4kU56gUkWOsZip4NpWAEXJFyg4spIBUS355ptvyr3fncgdsZq4EOIRIcQZIUSWEOJnIYSLEMJKCPG9ECJZCDGmKo9vzIkTJ3j++eexdig9aOyBOSMJ6JpeIXFzq0NVqjdGX9yoq5KX1oecrLmcX5BtNganrJlWIHt49IXQ3oxcvOu50vXRRlw7d6yUPS3AnWfn2dnZfPzxxyxa+iNu7Z+k2YMtiGrnpAsaXndZw/vfZ7B785nioR5F3Nys58Z46ErFy9OeFsFFysyoUvY3yqOjL668fDQl+qX10sqeG1XclAN9kaTG41jZ2JDfsBv2XnVITb25WIt7iTvN1g8ePMiQIUMQTl5Yt+5tcgmGO0Hc6GNumMtsnBCUawXysrDyCMQ6uAPf/nX4pvaviVSZwBFCuAE/AOOAOoAA3ga6AieAusBDQohqySjXrVs3WrcNZ9PxdAqzTRuYX9eJRC14lEsbtByc7lQhcXMrXh7VA2McVwPlGwJT6+jvay4GpzRUofOcnysNbG34fekRuj/xdIXauNe40+z8t99+o06dOkz74kcChr1H494DaBFcRHSjQhJzsll8xIuFM7fLQznnz+qGeXSZjI2GlRKTckt4Y1RMeWJU1Lgaf9dsnXdGFUH+rnJwc0TtlBIzsdQyY1SRoy90SgxDqYLHRLI/laSkLN1LDYK+unUd2txUGjQov1i6F7mTbL2goIAHH3yQ8Had2XzdE7ueMxA29iXXnTJDdYubW5luXgJV7FQw6FjKu0HBkZXMeW1AhfaryVRlDE5PYL8kSSsAhBCzgTXAeuT5pjbIF0i1jJEdPHgQv95DOPvVxybLH5gzEo3rYYN4m/JyK+LGwXkcWt9kA3Gi9U0m5Yj5AElTbaio7egPV6n45TkQa5dj8NkUhYVFTJvzD4E+dXnrrcqbCn+XckfZ+cWLF7ELa0/jwVPkeBNPe6IbZerEzepPNhZXVmNuzHhuDIaJlBwyIIsQVdyY8troY6pcFTlqzh2DtatKwctHQ2J8pm6auNr3EgHHZaBf3+H6SbI2fcG2HVvumbiEW+COsXUrKyv279+P/aPvIuxlO75TxQ1UfCZWmfE8FRU3hfnkbf0YK++GjB49ukL71mSqUuA0B/QXmzkK+AA7gEHABeAtSZJKWWSmcli7di1phTnEmxE3E77vTVNNCuM/al5ucVOa16a04Srjfdza2RjE27iF2ZIe54FbmFyesqP83iHjNkDOm6NO/4ZikWNO3ADk5BZw5nwSAW3qMWX4k4R37Y+Pjw/+/v4EBwdbFuQ05I6x88LCQuYu+AS3LoMAWRD0bBiDxrY2G2Py5Tw36lRqZ02JYSlTQcGmMCVa9MWQuhxDcZnqKM4tEdejL3LUz/rtmGq/PKQnppc6i4r4OPDSkn35OPaubjw+YwFTu0fISeJ8fGjYsCEuLi4VOuY9wB1j6z/++CO5jj7Y2RVPFilvvprbjX6gcbWRdwMp9Sq4B2B3/0B+eL0XPj4+1KlTh8DAO+P/UhVUWZCxEGIRcEmSpBl62/KBAEmSYsqx/1BgqPKx1dChQ0urXionTpyg0NGW3OSSadkdfPyo55xHulRI3IVbNzph5VNim43GvCCwdixZVpgtUZApfy9SUXyJclPHM3UMa0eBtU0BLnb5OFpbYVtUtjDJt5KPm59fSGZGHlKBRGFhEQWFReTmFhISEoKNjQ1WVlZYW5vOj3KnsXDhwioLvLyT7DwlJYUrsbE41w5EALbWRbjaF2FnZUNqXgEx125AkbJcgp099o5y3JeNTflHqm1LqZtfUGS2TH9/W+vierbWRdhaSeTr2WZ+oZXp90r7BUZ/VQrzDdMaWNtaG5RZ21oX1ynIx9rRAY3GjqzkZApzc5GKCrG2KqIoPw9bB0eaNmxAbm5ujVrD516x9SNHjpBv7w62sgi2d7LHyVH+vlOSb5Sob+9kPmC+Msi9YSjAzR1P7eON7PKl4DBu95YozEfKzQKpCIoKEaIIKS+XsLBmALr7ek2gvHZelQJnLpAnSdJk5bMdcn54J0mSTE/BMN/WTUfcHzp0iPYd2lB38DhOfDijRPkDc0YyIyibKecd2TX+k5s6hoo5z42aHFD3WQkoNhUYrK4gnrKjACh7+Es9pvExVNSZWfqJ/EpDfwjLmHfH/0WjYA8274wjPz+fFi1a0L17d5544glCQkJKbfd2UpUzS+4UO8/NzSW8WxcK6negRbkYuogAACAASURBVD85biqidgpR/rYk5mQze5OW3T/9o/PgaNvcZzLmpixKm1lVlpdFf4hLxV+Tg79TtsGaVvpeHH1vkfHMKihjlXE9VI9O+tHT8gYfX4JC/HTDXudPxOq8WcEcYM83X2NlY0Pulcs4ODjQrVs3Hn30Ubp3735HC557wda3bNnCQ4/2xa7nbETsNYPAYlPDU9XluTG1HIQxZS7YWUa7lU3umjew8muGNn4P+fn5tG7dWndPv5Nj0spr51U5RHUSecxWJQQ4U9EL4VaIiYmhTZs2RD4bwhUTytTBeRwjm1wjFkiPq2NSoJRneEhfZKjCpCzMzXpStwcNc1SEjukhqrKEjUp6nAcaV3l5h9KmjJcmbFSEo+DvnRcY80Yn/OtoOXk0gb3bv+P9ee8QGBRKdHQ0/fv3x8vLq8y27iJuu50DDB8+nKtX0gh7sjOJSbm0CC6ihXsBGlt3lpy2NhA3OGsMxE1FhoJMTf+uKGoMDpSdDVk/3scU6vCaKnTU+BpTsTk6caOHfoLD9MR00hPTsfF2JO7oETw69cPq4TdJPHeGny6e4ofxb+Pwwgv07duX6Oho2rVrd68N1952Wz9x4gTdu3fHpuWzsrhRUIVDVYqBsiiPkLqZoany5NepEPqzsKztKbqyn6zIMQhnd7bFn2TrorWMnzqDdvc1Izo6mn79+uHm5lZ5x69GqlLgrADmCiE6II/VzgS+r8LjlcDT0xMrKyvywn3l0WEjXl10jpaFHfgu+x/dMgzlFSjGqELDlOAw5bFRPTWltqlL5DfRoF/mPELGGAcaH8vMAY1hcLG+sNGfUm5KDPV+pjmJDlZkeThxJr+A5q38ad7Kn15DmhO3P4U/fvmGKZMn06dvXxYtWlRjhrBukdtu5wB+fn44BEdg6yLf6A+ds6J7PcjMz5DXctJfxkBvlpGxQDGOnymLisbGqKiiRQ02VjG1vpUqckz1TX8lcpPeHCW/j35SQFX8GIgivfI8bSCufaeRpW2EVljR4IH7SEpqDBE9KUxP4rvjm1n8+NPUr2XHd999R5s2bW7qf1ADue227ufnh7W1NUX120Bs8aiYuTWj7pS4m2qltDW2jKaY29Z7COHkgcgqBFd7rGu3wLp2C2xaPc2e2GPsmvkFw196jZdHDOHDDz+scYK+ygSOJEnJQojngCWAF7AMqNj0pFvEzs6OevXqkRWbiSRJhI6eWmKBzPjCIyWmU1dkVpTqSVEFiL740A03mREy5kSOvmAxJ15MbTdO9AfKCuUUJ/wzJW6Mc+UYixtdeW0NWqPtTTUOWFlb4d/ag9da1OaNvL68/tHvjB8/nnnz5pns+93EnWDnAI0aNSJnzXYAEuIyEEKQmJOPl4Pi/XAuHooyFXxbXqFiLIhudj8VfaED5j06+iJHd2yjtaU8PZ0NvDZaLy2o52q8CrkSZFyiHnDx7HXQNiquq0dWrh0EP4yNcxiX4w7Tu3dvdu3aRd26dc2f/F3CnWDrrq6uODs7k5KVDH61a9wPbrVgboaVifw5VrUCDMuVfYWVjU7sSHlZfPTtB3h5eTFlypSq6HGVUaVLNUiStApYVZXHKI0zZ85w6tQpZlvV58PfP6Ld4004Xo799GdI3exsKTAfY2P82bhe+T07Jb00hsIGA2HTpc9i/vp1MGBe3JjbVl4y7c4w4bkonnj5XaKjo/nrr79IT08nKiqKNm3aYGtbvuUlahK3284BVq5ciVZjS/quFcT8tY4Wkz5HDo8oiTo8VZ7hJVVEGK8ADsW5boy3G+9j0J7R/irGQqe8U8eN16jSz+ejZkAuIXoAfHwNZloZzLrSX51cqaePuoq5tRDEpZziq6++olmzZuzevZtmzZrRtWtXfH3N5+KpydxuW9+zZw9JSUlYZ10nb8tH2LR6mobd5YU1q31mEqbjbs4fuFBtnqPs7/6L47Nflq+yKnwqmChQ2Dlje/9A3njnPXr06MHGjRvJy8sjKiqKiIgIbGzu3BWf7vqlGpYsWcKLI0agdbYnudCVvOsXdWXy9HAHvolN49gvzXXby8oerE95Y2FAFiaqINHPV6OfA0d/qrc5Uo7kG7SlihrAYCFNY6+NqTibWxEz+sdQ8ctzYPf+K0yeuYHavlraNW+KxtmR/afjuHDlKpGRkXTt2pXmzZuTn59Pbm4uubm5NG/enODg4FvqiznuhfT1165d49lnn2XX/gMUFhTQfOLnvDPIn8ScfBbv9GD35jO6H+6gyHCTAqeiw01liRt9D0tZwczGfTFO9qe/BIS54/6fvTMPj6q6//B7skCWSSAkISTsIApERCQq+hMBCy61Lq27VXGtWrBuRUELbnUpIJUqdasLWrUubV0r7oiIokFACIuyL1kIEJJMyJ77+2PmTM7cuXfmzmQmmQz3fZ55mNzl3HMnhzuffNct60uA1ro+/gKQvUSLKmj0GBQNVEVR43t3o1WWQvbhiOzDyEiooHJDIUMHDuDUU09lwoQJpKametZ5UlISv/jFLyLmvo31ta5pGk8++SRTb76FBEcGyf2H0+eyWR0SYBwoLiac145YDI4eE+tP89ZvafzmWUR6LnG9hkFcAgkHNpFSX8GECRM49dRTGTZsGA0NDTQ0NFBfX09BQUHELJtW13nMCxyArVu3MnZMAbv3tHYOH37bLGaM3wS4uoUXbxztZTkJVuRknJjgE2vjT6ToLS/6Csb+jq8qzTTsO2WEKkDUhprqtmAJ1N+qqbGZqqp68tN6AJAT7yrqs7/SyfIff2LZqo1sLy6nS2ICad17kZCYwHc/rOTyyZOZNWsWPXr0CHpO/oj1h76kubmZmTNn8sJ773P+gie5crjgpZ/i+XTZQbYsdpcvUbKHwiFw9Ofo3UY+55gIHfMGnK2YBRuX76336VcVqOWEFEOAf4EDPiJHdfENyotj8856qve75jpoWC5ZWUlUb13P/rXLqdywkoR4jbiEBOITu1C7v5wEmvjXU0/yi1/8wv91Q+BQWevr1q1j5Aknk3fxDBxDjmlXgROM2IiUwDKag+XmnWYCx0/xQK25ERpqEMndvVxZfQen07N+PcUrvqV08w7qa5tIyUgHEUft9nXccfMUpk+fTnq69cK1VoiGLKqoYP/+/fzud79DOzwVFIGTd8QKoBtFzjqclQMAX3dRsC0Y9EHEweBPwECrlcZZOcDQchNsWwZJviPJksgprK7327xTH6DcIzMFGryP6dHNwRljj+GMscd4be+bfzrl+/bx8N8eZ+jQocyYMYOpU6fGpDsrkrz22mv84x//YPQjL9KnexPrDtRSXJnH3r3lIY8ZjBVGHmMmcqQAMRtHtc5IjNpBmDX0tJr2Xl7m9LLC+FhpdC4qM7KyUtlSXOMSN1tcfyxtKSuF8aMgbSADzh3hOVbel6ZpHFz5P35zxWTGjjqauXPnMnTo0IBztmmltLSUa6+9lm6jJuIY4nqWtMU9FUgsWMEs00luC7fQkdczG9ev2AmyCjKAiE8EKW7AI3J2bq5iJ70h5zwGne6aUz/3tRsPlPP3Rc/zwgtHcO+993Lttde2e+JJ56jqEyJr167lmJEjyUgupaXrpZ7tSanTKEjrSpGzzkcYSGFi5HJKSp1m+DJzT215utZvI8xAOLpt87wAjxALN1Y6jhsRqKaOpKx5DWXNa3y2980/3fM+OzOTeffdy3sLn+eDDz7gjDPOoLLStzCjjS8tLS1c8rsLmTpjBkff9ySHD80kL6WWwj0ZrSIgp5fny9rTh0nXikFPIGuMkSDRn5Od4/Dtb+XuAQUmbi53/6vVm+O8emHJXlZG/bGsuMDUmCFp4UnPTveIHc97+Vm5M66MgrJlx3UjPNYyHXndajm2zwGGTDiFy155jcpBgzn55JN5770ODd/qVHz33Xf0HTqC7509ceZNbPN4wVhjVLGiCgj53l+zTHluOF1NVkVTxNx0AWJ5xowfQu+L7yT5ont56aWXOO+88zh40LcIYySJWYGjaRpXXXUVl585husnH8eBb1urnkpBUlhdH1A0yBgbo4DijBMTvFxTnu1uS5Bq/ZHZVFLsmLmkHN22ua1LrTgrB4Qsbgqr6z2vcFDkrPOy1kiRY0UkqSJHihtV5AAMPeww3nhiPoN65XDi8cexa1donXMPJf773//y3dc/cPE/XmDYSN+/znzqwSg/ByzO5xYogawufgsAmgglKbJUweNvPv4af/rMWxE0+rkNz88kO8fBsPwcTwPPQcNyGZafw7D8HL8tHuS+8jInw/MzW48fdJgrU63GCTVOj4iUc1HJc9TRr0cLvc64hgkPPcIlV13Nk08+aem+DmVaWlq47LLLyPnVjSSMOBsh4rwEQ1vFgxQoRoIg0NhWBEy4RM6WlVuDHsNvp/JgyOvT+gIvkWNkURp9dHeS+xxOxVn3sHjnQbKGFVBeHrpFOVhiVuB8++23VFRUcOst9wLeqd8Vy5rIdyRRkNbVYyFJ77XP81KtOBknJlgKJM4Ykeh5yUrEgbKszJBixoqwUY8xOt7KGEYuKtlZHFqF4OJduV7H6IOW1XOM9lslPj6e2bP+xCXnnsOYY4/lm2++CWmcQ4X58+dz8U2XMjA3kTxHHQU9Kzz7/LmLvNxPBkJAFTWqCNHjT3jI2Ji9e2uMG3oGsBKp1/C7v8zpiSsyE1tqTI88Rr3H7KyujBzc4hE8UvScPK4fx48f4iV8pLtNFgr07Et1wKDDGJaf4zW27Kqun09L7wLO+/tT3PXww9xxxx3U1ES8jVOnZdGiRaSnp5M+crxnW6AvbSuBwFa+/I2OUbOmrFwrmHn5Oy8cYiUsgkcVOnj/LvQ1iURCInkXTyd1yGh6DzuaVatWte3aFonZGJykpCTq6upobGoiJ36EVzyNkVDxjXFRGmAaFe9TtqlBxVLcyKKB0sKjHqNmTunjbZyVA7xia/TixGyf/r2j2za/wiZQ3I2631k5wDNPGYsD/l1UZvvKmtd4go79IYTgpmuupm9eHhddcD4ZmVlMmjSJ9PR0hg0bxvnnn2/XwHCTnJxMTXUNY3s0UV7X6g51xaroTMLu+BJpw8nOcXisMGZuKsN0b5Pt/mJwAmF0XiDXk5q1FWxVZaPjiyuTGZ7vHfdTXImni7k6L/l5eRUKxLjOkGe8FHcc0cHkVsHTrQ8XPPUs//nLwzzbpw9nnXUW/fr1Iz09ncsvv5zc3FzT8Q4lkpOTqa6u5tij0hDC+pdze6ZtR4pwubb0qez6z8UsHimY6+vFjQwAF0LQ8/Sr6ZKZy7HjJjLqiEGMHz8eh8PB0Ucfzdlnn20yYujEdBbVOeecw4lHHckNV1zO+V/8kU+v/wBwZVCdXbCWx65zpSUPuj6ZvCNWUJDW1WOtkAJEpmSDK6YGfIv5qagCx2i/Png4GFRxA+YxOUYxO/4yrQIhPxO1xo6VvlZGSHGjd035o6Wlha+Wf8fKNWuoqa3lvY8+5sJLf8t9991n6fxYzyxZtmwZ5198Hg8ueoY9Ta4v17yUWt79OY/yvfWsLyrzfDl7ZQ+BV92YUFHFTqjixgpGsTzqvkACRx+k7DWWLp6ooLfLCiZr8azeHOex1mRlpTI83/V8WPLlDh+BI9PwPXPL6kpet1ovy5qK7MNV7EzCUbubdV8spaaikt07yile8R0bVq4mJ8c85kcllte6pmmMGzeOw848gabRF/sEFqsxMuEIHA5EOEVHIBFmpc9VONHPx8q9yuMDdXVfseoAWkszNT+tIJPd7NxWQeWqz5n9p2nccsstluZnp4kDTz75JK+9tJD3XnqRnUWLOPXvezz71DTwpNRpDLo+mfRe+xjfp8QwNqeqNDNg+re/isX6ejfBCh29uAG8hJg+s8rI8tMWgSNRM6naS+Do2bF7NyeffQ77DlRZ6n4byw99gLq6Ovr178vdz91Lj6GttYQK92R4vswLeldQ7EzyfFGrPZuk+FGtL6EInkDZU5JAKdxm6EWUnG8w1ptAva38FRpcvbl1rckYHHCJHGiNbZJp+CojB7d4BE7xwWSPJceM4oPJFDuT+PKBu5h63iVce+21Vm4v5tf6Qw89xL+//JD8aX/zCBx/4iBSwsAoHT1UwWNV4ESDFcrfPVoVOEZ8/UEhO1++l4a9uwMfjJ0mDsCcOXP4xQljaGxspG/+6cy+6QEuP/tVw/RvlzjJpNAtBArZ5tmnppFbwag6caA6N/4I5G5S0VttrGAWgCwFkVHxwI6kX+/edE9PZfXq1YwaNaqjp9PhLFy4kObmFk4eWEBL92bWHaii+GCy6wvV/aWanZTIyB5OwEF5mbfAkPExbbG+GKWT62vTtBWj+UmREQp6sWMUJ6MycrArUUFfdfnkcf1c8/Pj4iuuTKbY3TndjOHd0ymvk/td/2YfcyKffvqpZYETy7S0tDB37lzOveJXHJdbBuSwYtUBw8DWSFU1NquzE44AZ7NrhS1AOAz4s+pIEWbWF0zlpD57AVi6KwuAE385mtf+UcvWrVsZODB89xqzQcYA77zzDtv2lHPKxb9l246dHouDXtzoY2xknIn8YpdByBI1IFndLoOM1fdqxWErqELISnq4nENVaabPy+g8NasqlOwqNYsq1CDitrCzaBE7ixYxafxEPv3003a/fjQyefJk7ph2B5PGncmSl5ejaRp5KbUM757O8O7pZCe51uTq/QleVggVVYhYiXvRv4z265EZS/rrhiKCQom5AYOWEN1qPS+rFPSu4IyRBz1iSJ5rZT4ed9TBZM9LjxpH1bfgWD777DNaWlp8jjvUiIuL46OPPuKnwi28eM295CduMDxOFTdqCndbMatz0xZx429e0SJqIoUUN+CyyKQOOYbPPvssrNeIaYEzYsQIPv74Y66//npO++3lNNRPYMzsKV7HDL9tFhkjEuk/qYqzC9Z6tqtf/FIo6AWNRL9d/7PeetOWOBw5njqmGi8ULszcWfJzkULHTOTkxI8wfIWL8f93Ih9//HHYxuvMJCUlceedd/LDDz/w4osv8tXs/5ARLyivq8WRmNbacJNWq0pVeZWhq6gtsThqOrmRcAnVmuMvRT1U9G4qKVYC9b9Sj7PSK0ude7EzicLdGRTuzvA5NzspUbHetJKWk0NmZma7ZZ1EO8ceeyxfffUV55xzDk9cdgcDUktMj9WLj7aKEYnVzKtwEM0ixyyrDFwiU75UpOXGiCN/MTbsz/SYFjjgUoZTpkxh4cKFXDblJu7O1TXOc4uR8X1KyHckeaVVq7E4wbqY9P2lVPGhH0st5qfG0hhZYFQxox8nkAstkLXGWTmA4o2jcVYOoLC63ssdJa09euFjJHICCZlQ4292Fi3yvD/p+ONYunQpzc3NIY0Vi/Tr14+lS5eyadMmPn/FFVDvbKzGkZjmOUbffLKqvMrzAmtWCLU2jvpSLTfSWqO32hjF4/iLyTHLyvJYj9wiR6aqWxE98jhZONAIM/FiJGwMg5b9pNX7jHkwmfK6Ro/lRlrcwCWoJkyYwOLFiy2NdSgghGDGjBnMmzePZffdjNbcFPCccAqb9iSsPagiQLBiT1ptVOuNJOfoAr788suwzi/mBY7ktNNOY+y4cfy8ZRDTX/2NZ/u3dyygqjSTwup6r9Ro1UWlYjWuRUV1VcmXvkpxMOgtNXqLUDCWHCnoVDElhZPau8rs85CoIseoajG4hE1bgou9rldWRl5eXruX/o520tLSePjhh/nv8+/SLyWT8rpanI3VZCclM7JHk7HYcGcA7d1bY1idOBD+vsz9WXJCsegYjefTD0sROvr3XnNWflZFixXLjBGe6/gRNh6XmM4SVHww2W3FafRyUQHs2rUrYk0LOzMXXHABRx0xnP9LXBzUeeEqtBeuuBuzcSJR/bi9MYvFMbLkHCzfE/Z1fsgIHIDp06fzyIIn+XX3q722b3m6luKNo70K2Ulrh5EAMRMlqmtKH6djRdQY7de7o2QhQn1sj94tJi08UriYiRP9XMzccGaEo7BfKCz7vpCTTz653a7XmTj++OM5bPAQZv/pUbK6JuFITMORmMbAtJ5MPDHFU8TOyHKyvqisTa4faBUhgQSMmYtMX2DQ7Br+9qvny3sqL3Oyrmhfa9Vk98+rN8f5teYYIY8364vldU/uNHFJnjvYOC/FlTpe0LPCNPh4V2UiS5cuZezYsZbndihx99138+G8hRzR66DPl2k442/CTaSagJqJoo4QScGIG4CyNT+E/Zl+SAmcMWPG8PDDD3PVrbdx/CO/92yvq5nj5fJRv/RlteO2xs0Ea6mRdWeMBIc+sFgdX9bhqVjWxJana9n+iasuipF7ShU96jgypdxqI86OYNn3hfZD3wQhBG+88QbffPYdPyxeDYAjwYEjwcEVhzd7WhV40DWUVEWDFVdLKHE7RuLHaJu/NhGe/bKflUmhQL2Q0scKGaEXMHpUwaK3DKnXkcfmOepaXym1ZCclegWAg3dwsUwT37dlC9nZ2fTqZd7081Dm1FNP5dZbb+Xr2bMA15eqfIG5kIhUYLBVVDESLrEjXUWBLEKRRP/5g0vQqKJm6a4sLxeVjNX5+evvwv5MD5vAEUJ8JYQYo/x8mhDiZyFEjRDiDSFEmnt7nBDiVSHEPiHE7eG6vlWuuuoquiSncEv3I8mdNMOzveSTh03PUVs6hEKo50mRY+V8o1R2WUXZyA0lixrK+UkLk9wHgasdq+Q2hFb4LxSamps71ILTGdZ6RkYG999/P8//9UVS41u/4Hsl53L2kGJDN5SMxdmyvsRSZpRZFpVR7I0R+u7iaqq6kbBRxYgcW2+V8Zqf22qjzxCTc5biZ31RGeuKzP+A0Yscf8JHzln+O3Jwi1fquWqpKa+r9XFHQau4Adj1wwp7nQfg5ptvxlFzgD1rvZucBkpVDvYLPxyuqWDEjD4lO9C15X6rBQPDjdHnrU8H1yODkFsaG6jdXsRJJ50U1jm1WeC4F/1TwEnKtgzgNWAa0AcQwAPu3ZOA9UBfYIIQIvS0jdDmy1133cX8F19i+HmrvfapVpyCtK4s3pXLu4VHGgbX+kMVJVbEib/4FilKjMYxs+4cfc9Bjr7noN+gYylu/I0fCLOaOEZBxuGKvQFY+NEG8o86isGDBwc+OIx0trV+/vnns6+8gjXL1+JscuJscomA4d3TPRYIo7YCakNJPaqoUV1RqogwEiL69/qfrVhqVNGkXlOdg5zb+qIy1heVeVVu1gcs68WPlxtJlzYuBY1e2KhxN/oiibK4n3RHSXEjrTb+xE2eo47K3bvZ8NorXHfddaafSyTobOs8ISGBO++8k/hP/h2R8cOZfSX/bUvAslFmWDgLD4ZCKOJGPa/0nSc4/+wzyc7ODuu8wmHBOQlXwUD1aXg28IOmaW9rmlYBPAJc7N4ngHj3OQJo91LKv/nNb9i/fz9nlHpfumJZE+vm3c/S24aHPLYqFKyKG/Cf4WSUTWVk2dFfO++IFT4CyIqYUjGql6M21bRiuQmXuOmbfzpfbazjrQ8+4NVXX+2IXlSdaq3Hx8dz5513Mm/2fK/tvZJzOaOfqxKvFAzp2ekeYVNVXtXmAGB/cThG1h2j5pd6Aokgf8g2C2b3JQsGellbLNbGMXSNue/HqM6NilktnJqKA3x09zRmzpzJ8ccfb2keYaRTrXNw1YJatWoV+zdt9NoeyFUVacKVUm7UMyqago/bUlgxZcv/aCleyz/+8Y8wzshFmwWOpmkzNU27FlC/SY8CVHvhWiDHrew/BoYBW4GPNU1r9/a58sH/8bJmLzeVLABYVzOHdwuPZHyfEvKOWOETgGyGP0FjJiykeNC7kMyCm624rPwFRkuhohYxtIpaAwd8WzWEu9aNnn/++z88MO+vfPzpZ2Rlmf9VECk641q//PLLWV+0kbINe7y2j8gY5HJVuQWDvi6OFZETTMsFs2OtFBVcX1TWah3J6sqw/BzPKzvH4en4ffK4fp45y/2qhUrtyaXGIQ3L9+7zJGNlAiFdYEbIXlbgbpmhFPgrr2tk9f4E13Yl7Vxabw5WVPDsdbdx5XkXMnXq1IDzCDedcZ137dqV2267Dcfit332GQUfB1OBuL3EkVn/LH+WH6Nt/sRPewo9f5YbKYjW/+cVtr77Mqu+/Jy0tDTT40MlUkHG6UCl/EHTtHqgCUjXNK1F07SLNE3L1DRtvtkAQojfCSEKhRCFkZjgZZddxvr167lrgnFK85anaz11cYxqzqhiw2qcjCou1JeKKnSCTSWX5+mF0vg+JZ44IhX9HMyuo68NpBIocypc1puX3niThx77G18sWcKwYcPCMmaYaNNaj/Q679q1K7fffjtzHnoUwOOmAjguu7en/YBE77IKl8iR1hy9W0qS163WMC5ItQipIkd/rHQVDcvPcYkXZb9a90e9n/Iyp2efUZuGPEedjxUnmIrH6ngyFRzMrTrFziS2bDvIf26awrUXXcpDDz3UEVZKM6L+mX799dfz+eefU7l9i8++0Ud3b1PAcShWmFDERKC5mGVHWbXmWBnf6lhqQLFZvJMUOUYWno/nP8OGt19nxdfLw9qeQSWgwBFC3CWEaDJ4PefntANAsjJGF1zmS+N2ugZomvaMpmkFmqYVWD0nGLp06cKsWbP498dOfvHUL33219XMochZ5/WlrwoI9UvfTKzot6vv9UJBCpmq0ky2f5Lutz2Den0rAshKSwb9XPXxNfprqAX+5L9G9W/U4nyh8uK/3uAvT/ydxV99xRFHHNHm8czoiLUe6XUOcMMNN7DqhzX8tHITjgSXqEhLdGVVFfSs8KSNg7FgCVc/qaysVJ94GRUj8aBaV2SdHomaPSVTwbOzunpq36hNRdXxpDtqeH4mg4blMnJwiytwOMT6N0aNNYudSQEbakryHHUUH0wmrW43X999NTddcTn3339/xMRNrD7THQ4H06ZNY+frj5ke054WjGCDklWrUqBgYtVyE8jyY3SNjiZp49sc/OF9HeWfagAAIABJREFU1i1fRv/+/SN2nYDNNjVNewh4KMhxN+Dy2UqGAT9rmmb9z5924Morr+TRRx/l5t0n87WuAefw22bxbiHkHbGC/pOqPCnZUlCoYmdxZWu3bjU7SY/RdhnAXFhdT/HG0Z4074wRvinr/vDXkNPMNWa2T6aHW72PfEcSJV3qDGNx2mrBWf/zz/z5sfl8s3w5hx12WJvGCkSsrvXk5GTuuece5tz7KO999B+EEFQ3tgYcD893eAmHvXvTvaobp2enm8bS+EPul4G+RunaMjYGchg5uKVVtCjzkcJIIvfpLTnri8pYr5uD3iK1vqiM8qxUhudnuqw2J6a4BIY+U8otdvy5qsrLnGxZX8Leva6O7FLoeAKS3SnhHheUO3hYoh/7v3/+K9ddeCH33nuv6TXDQayuc4CpU6fyt7/9jd77vmJ3pvWU40h1HZfjhTslPBhLTzDWJzPBZDR/1SoTKGNN3V++bjXr//saP69eSe/evS3NK1Qi5aJ6GxgrhBjrjr5/CHg1QtcKmYSEBB588EEWvLmEp1/Z5bVv3bz7PQHHao2Z4o2jAV8XFQS2lJi5pqTI8RTxOzHBK21bngsuQaXWvwnVpRWoMrGK0TxUrKSTyyaZwVp0Zj4yhz/NmhVxcdMGOsVav/LKK9lTupfPPv7CI27AFXA8/Vinl6tKL0Sq1v7U+nKLHquByGbZVWAcnBuMC0haaoKtvLx3bw1Lvtzhup6uYSbg6hUl6+BIcaLrOg4ugZae7S1u5LzA2y2lorfsFDuT2PzdSg5u3cV9990X1L20I51inScnJ3Pvvffyn3nPo2nesc5mhQD1qJaXcATzBnu+P0ESbvGlv0d/sTtWrm3Uf0pF0zQKn3yUp+bNjbi4gQgJHE3T9gGTgZeAncAewLzQTAfy61//mpT0dBo2H+PTiFNPxbImKtY0+ridAIo3jvb0cZIvK5261bHG9ykhvdc++k+q8hpTBjkHKjoYTCq7PzFmJliMXG1qRlW4+XTJV2wvLeXGG2+MyPjhoLOsdSnm75/5MC0tLV6xOL2Sc7ni8GaPRUS6bryocbpeWzYFLXIkZhYf1Y1UXJnMuqJ9njRvVQTpg4FVjAr6mc1Bn8WVl1JrKbDYqPaNDHQ2o3B3hudcj2VHxuK4m2/u3t+Ft+c8yV/+8heSktqnllSwdJZ1Dq6MqriqejK2+f4xZVXk6Am3BUYdN5oyokK9v0DCRh6z7YuP6JfShcsuuyyk6wRL2ASOpmkDNE37Vvn5PU3TBmqa5tA07Sp3UFrUIYRg9uzZ3Dd3HnfpGnGCq1geuFskuN8v3pXLI5f+h0+v/4DHrhvssb4AbP8knVX3pbD9k3SKN462FP+iolpL1LYPElXkWLXUGKV6y31WkZWNVYyEjT4Ox8hqY8WSs2P3bm6660888cQTdOnSxfI824POutZ/85vfkJKSwqsv/AvAR+QU9K7w9EqS1olBw3I5/qKxkKp8iZeVevpXBUJmMqVnp5uKkPTsdNYXlfGvd8s9lhV9YHBVeZXfispSmJ08rp9nmz7+xoi8lNqAqdygWGUUkROM5Uh+rpJiZ5JHzH0x+0GO7t+fCy64wPJ47UFnXecJCQk88sgjvDfnGZobfKdollUV6Ms9mOwks5+tWIYCiZ327GYeDqT4qd+zg28en8MTTzxBXFz7NFE4pFo1mDFu3DhOPeMM3lvUzMvvXuq1Ty2W139SFf0nVXnaH4ArGHnxrlymDK3wCBFVFOnjYqxaO6SrKe+IFZ73i3fl+vTIUlsrGGEmrkIVN9Jik++IXOXivfv3c/H1N3LHjBmceuqpEbnGoYgQgmeeeYa5DzxG9R5fsTAxL9FjxZDp2BNPTGH6hCpvkaNac5b/4HFd6QWFbKPgSenO6upJ65ZCx0rFY8AjkIyQ4kMKCH+WHj1WxI0/jESOuk3fgwpa43tampvYv/Q/9Cwv4vXXX4+mjKlOzznnnMOoI4/hwHuPWz7HX6aVFfS9r0KtWhzKNcNJW8dUBaS06jQeKGfHczN47om/csIJJ7Rp/GAQej9lNCKE0CI9z4qKCvKHDuWF+X/l3p3L+PaOBZ59E58+0/PeWTmA7Z+kG7Z2mPj0mUzO7cbCkkrDmjaqUJCdutWO3XK7kSgJVHHYXyBxoOPUY/X7jao4m4k0KXiCqYXTN/90L2tOZfxATrv4Um648UbmzJkTloe+EAJN06L+26M91jnAPffcQ+EP3/H0awuoaa7xZFY5m5xsrd7D6v0JnoDYiXmJ9ErOpbS2hF/O3U/V8h/MB3YLoPQjDyfLHcir1oORFO7O8GmNIFPIPQX3utXy6bKDnv1qzymJPqOqoHeFxyW05MsdVJVX+QQZSzE10R1cDL7Bv3IML4uLn0ac+kabcp4+KebuaxTuzqB8bz1rH/sj3St389FHH4WtKre91lspLi7myJH5TP3HI2xLPc5nv1mQ7IpVB0KKmzHC3zj62jXhqGwc6BrhvK7K6KO7ez5P/Wd5cOsatj97J/fNvIuZM2e2+VpgfZ3bFhw3GRkZPPjII9w3dx7PDvEOaC3eONoTd+Loto3+k6q8CgRKPr3+Ay4/+1Um53ZjytAKxvcp8dSgUfs7qTEuRmJBH4xckNbVcCw1Td0oFsaq6LHiQlOP0d9DW9C7ql568y1u/+MfmTt3rv0XbYS46667+HHVWgq/XeHZJt1V2UnJTMxL5Ix+Ts7t34Neya5YnF7JuSyZ0Z9nnj2OQWfqXFaSGtcYZq4habko6F3BxBNTfBpe7t1b4+ortbee1ZvjPGJn794an47cKtJ1pU/z1osbaZG64tQ4L3HjL0XcSrdwn/nojlXFUbEzifK99RRv3IK2bS1r1qxp95Yjhwp5eXn8acZM3pn/os8+f/EiN/+qiQuuGhWWL/62Zi+pGLm12hoUHA4CZVBVfPse82Y/HDZxEwwB08QPJaqqquiZnUXf/NN5+d3vue4SV5R3eq99PiLAFQg8w9CSc/nZrzL91d8wsYvrFy/rxOhFgZFI0IsU1cJjdLyzcgCklQQlOIysNWbp7ep2I2tOW9xUeusNwJJvvuHVW28LeUybwHTp0oXy8nIG9O6PI8HhFYsjyU5yfSmr+xwJDs7pN5rjrivlu3OH88jbXdmy2LvBITVOKCtlb3Y65XsdFHfzXR/SgmGGbIRZvrfe055BihvPv446irsl8emyg+76OA6UMi0eN5Vq9TGyJvnDI4Iqk4HWjK28brV+LTqS4spkr9gbVUR1r9vEqIkTSU5um4vMxj9VVVWkZ2VwUp+9fovOeW9zHXfzr5pYevQoSxYdf5YQo6rJ4apRE01xOHqhIz/T5OK1nHvusx0xJVvgqFx00UXce889lJTt4ayhM3n2tQe83E3SPVWxrAmAQdcnUvKJ8ViPXPofFs+ewpShFa0iwBE4pVru17utVKTQkPV3Cqt9xwkUY6MXN1bO8YdaB6eseU1AN5VZfZyEhETbchNhhBBcddVVLHz+n9z3oOuvKilkHInm5dI9x7iFzvArf+alE/+PT5cddNW6UQKPq9b+5K5J0yo08rrV+ogbab0xisNRxUlxpUugyBTrwj0uN9Lw/EzWFfm6hfK6SYHicnOpLRFASQ/X/Quu6wQq+udP5HjPO9nH1VVetg/toGav83bgsssuY+6xf+W8P16HFC6BaBU7WZzUZy8n9cGy0AlEOASJUWPNUK8dzngbyYpVB7y2d+nSpcPWuu2iUujVqxfXXHstv58+gwNVVZw1dCbTM3O84l5KPnmYupo51NXMYcvTtQy/bZbpeN/esYAFGzIo6dJa9ddqkLFe1MjzZN+qwup6T3E/fR8rvXgxqnljllmln5+630wAGbVrMKpqrGKWSZWSnMTBgwcNzrAJJ3fddRcLn/8niz74mLRE8zRnGZ8jkV3JS2pL6ZWcy+/zXS6f48cPgZxeLteV4qqS6d76mBu1+za0tnJwFc5zdwU3sPLI5pTFlcms3ux6fKlxO5I8d5E9KYiMivlBq1XFqyeUidvKI6Is9Knyuob7urL1Q3aOg4ysNHudtwOHHXYYF/3mfF760zyO7bETCOxSkaxYdYD57ycw//0Ez3n+BIGV7Cf12GDaK5gV7gtWoOjHikSKuv7zTU5O7rC1bltwdDz88MPcfvvtnHLeBbz0+N8oOGoafy1axCu1X1HINpKUiscyWyp30gxPttWWp2u9KiJv/ySdoj4lXsJBBhdLzESEPgDZI3JozZpaXIlXn6zxfUq8jpXjSGEkCZRiLucoXVRG4ia3IclvLyorlhw9SV2TqK2NquKoMUnfvn354P0PuOCCC1i96kcu/cPFJCR4Pw6kuDFzY8l95/aHYudB1helUwWtlpyyUmQ0TlZWqqHAMLLcqC0dypXAYxUpflS3kYqa/i3fG6Vpe51jEOMjj1EtRFZaOujHknVwZIPO+Lo4Uux13i4sWLCAG2+8kb9ccgsFM+aR3qe/50tYHxhrFpsjrRKu4wLHywTCrNlnIMGib7RpFaPYnUi4t4w+v5SUlA57ptsWHB2JiYn87W9/494H/sy5V17NrNlzyBgwlt8mj2V6Zg4nzVvH8NtmeYka+W96r30Mut77oZkxItGwE3mwxfFyG1xp2fmOJCbndmNil+7kO5IMC/9JcSJFlGwDoa+ArKJ2CletRWbiBgI32oTAlhw9ybYFp9044YQT+P7771n+9QouOeVyNq74yWu/tNaAS8gYWXPkvjxHXatYyenl+tedSs6WTV4BxP7Iyko1bO1gVVhAa28niezSbQVPiwZdzI9nDrLCsRJ87K+n1urNcR5LE+BJla+u0ex13k4kJSXx/PPPc/ct0/j01smsfukpT30cf40iVaxafYK1zKj4i+GJRNBwOC03/gr9paSkdNhatwWOCZdffjlr163jQEMTY355Fit3xTF6xB95a8JcXh+bwcvXl3F2wVqf884uWMvL717K9Fd/w5jZU1g3735W3ZfCgg0ZHtFhZr0xQw3klUJHIjO7ZL0cI+EkxUzFmkafffr4G6PzVXeWPpsq3BysraVr19BjgWyCIzc3l08++YQZ0+/mxsv/wH23PEjFfteDSooaVejo6Z3qeuie278HE09Mac1cku4qgFSHp+qxv2J9ErX9gWq9Ka5MpnB3hieNG/Cy3uizldSXOoZeoICx9SbPUUdBzwpPAUQjpGAxQl5DddHJcVoa6ux13o4IIbjxxhtZ/+Nahhzcx3vXXcDu77/2Oc5MyOhTysMpNozES6BCgFYzrqwWJowkNTU1HbbWbReVH3Jycli4cCFffvklv//973n5zbe4744/Mjz/dPpyOjlFi8gf/z0LNrQ+cAur68l3JDGxS3cWK2NVlWZSqDTELFSK88n+UgCL3RWK1Zo5ekuJKnDC2SpBHUcNrlZdYOm99lHINqBVFEmrj1nDTb0Vx8xtpWkaRRs2MmJEcG4tm7YhhOCSSy7hl7/8JbNmzeKcMeczfeYfufzKS+nSpYtPJpX688bKNRzRbQS7a7by+3yAbFZvzqG8zMne7HSq1rqtQoq7ykgQyG0uV1Cmj6Vn9eY4spUYUX0grxH6AF8z8rrVmsbVSOuPd0aV97kFvev4cHVKwOuo1JVssdd5B9C3b1/eeustPvzwQ6ZOncqmD99m1NU3kd6ntQK2WtNFRQ2ela4qMLaEWHEBhbvxZrC1eMzcZGb3H8iNZ4TW3MzGjRsZPny45XPCiW3BscC4ceNYuXIlp59zLr++5ndcfcttbNy0mb75p3PW0Jn8eZDrIVpVmknxxtGewOIpQysYM3uKl9uqqjSTVfel8On1H/Bu4ZFMzu3mcz2zruASNWjZCtKNlTEi0dPiwWqXclXc+ENvzQl2jgDlFVVoLY306tUrqPNswkO3bt2YP38+ixYt4qP3P2P0kSfy8ouvkpWQ6eWeUt87G6tZsXcZziYnjgQHVxzezDUn7OOKU+O47dI0VwXknNbfpww81osc2QdLplWPHNzi1QAUvOvLLPlyh+Fr9eY4w/gaiV7wZGd1tRQ0LC1BLkHjm24u55+d1dUTAK0XaVJIZWd1hYodHHXUUQGvaxMZzjjjDNauXcvvTpvAoluuZNmce6guaW247M+So4/bMXMftcUFJMf01/jTX00co1YRRlYio2PV+wvkmjNzTclz68t30KdPH1JTA1crjwR2JeMgcTqdLFiwgEcffZQJJ4zhjik3ctjAgRT+OIfLn3alxPafVMV4d2DxwpJKACbndqPIWce7hUeybt79nvGG3zaLGeM3eSwmVaWZHhEyObebVyCvUQq5JFDAr5wHeNe28ZcaHigw2ag/lX4u/urk6C05S39Yz4vvfMG3q38yOSM07OquofH1119zzz33sHnLJu68+3YuvOR8arXWNSYtOc7Gaq/0cmejd92CR7538P5bre5c1QUlXVaqK8ooQFdftdioZxXAoGG5TDwxpTVzyS0q9DE4Rt3BTa04uo7iqsXHqNu4UZyRKtaKK5P5ZMoFfPrGKxQUFBheM1TstR48Bw4cYP78+Tz++ONkHDuWEb+9FkevPM9+M4uFWYp0oHo3wWAlM8tKI1Cr1Y6NMLPomB2r8vkL/+aEho28+eabls63itV1bgucEKmurubxxx9n7pzZvPns0xSMHEnhj3P40xbXg04KHCNRcsfj/b0KBA6/bRZnF6z1ya6S/Z6sWEKkkDA7Vg04Bld1ZnC5nMb3KfHbiFOf5aX/2aqLzEjsqCLnxbe/oKn7QB577DFL41nFfui3jSVLljDj7jvJ7pnNS689R3Vjq4tKH5tjlnH19vb9fLg6xScGx6gFA/jWmTESDeuLyjwCZ9CwXM9Y/vo/GW1ThYu6X2IkYmStHP25/shz1FG4O4M9ZTV8d+Mp7Nu3j5SU4FxbgbDXeuhUVFQwb948Zs//G6f/9Xm69R/k2RfoC96o/1K4sCJOArnEIiFwrFh39nz4HFNPHsI999zj99hgsbrO7RicEElLS+Ouu+6iurqaB+Y9xvw/P0DBUdN4Nt6VUi5Rv/ylWJl903YWTJriKRpYsaaRxb1yQZdOLgWBP5EjhUsRdX6Fhl48yYDjijXpLJ7Uap1xVg4wtNT4w59lSd0XyKqzqy6ZUzrIV2tjzsknn8w7/32PwYMH8a9X3uDCS86nptmVFaEXNGbByOf278HIHnv4cIfD5b4pc3pSwTFsjuktbrKzunqJHCmUpDVoeH6mWxR5jyLjZ1TRImvjyP2e90q9GhVpATLrLaU/zgzZpmHn6jXk5uaGXdzYtI2MjAweeOABysvL+eC5xzn+DzNIyepp6Vwjt44qCsKVlu3PFWZ2jXBkSwVjxVGPOyahnOHDz2nz9UPFtuC0kdraWubOnctf5z3KNZdewt03/4EVa+b6DQxW90nXkd5tJNs8qOjH1FtlJDKuxyjLSbXgyJo9w2+b5Uk1V11kgdxXcq4qZo1DVUuPXuDkxI/gqxXreeSlRaxYsYKsLGsVR61i/1UbHr755hum/mEKQgj+/ux8eh/W22u/mbhxNlZTXtcqDqTIWV9U5ql5A95p4dIao3dNga81Rx+rY0RBT9+4GRlArI/XUSsZ+4vPsZp6rrLqZ/hh1hU8ePsU/vCHPwR9fiDstd52qqurefjhh5m34EnyL7yC/IuuBNpumQmn68poTHXscDULDYS/WKXKlZ/hWPEW33//PWlp5hXSQ8FuttlOJCcnM3PmTNasLeLlN99iy/btPrEluQ1J5MSP8Nou08X1zTPVmBejcdTzwVvcyPMXllSapnDL6+UdsYKMExM8TUNl4LEVcaOOoxdXZo04C6vr/aaVL125nptvvjns4sYmfJxwwgl8v7yQseP+j8cfe9LvsfqaOQDldY2U1zVS0LOC7KyuXuLGCGm5kS+J/mcr+NTFUWrjqP2iQGfV0b03Sj23PIfKZNLiq0mpO8BNN90U9Pk27UNaWhoPPfQQ61f9wJpXn6Ou0iWOrdbCiQTBpHuH4o4Kd00cAOeG5dx5551hFzfB0GaBI4SYLITYJoRwCiG+FEIc4d5+mhDiZyFEjRDiDSFEmnt7nBDiVSHEPiHE7W29frTQu3dvjhw6lM3bttM3/3SObj7WU7NGFSo58SM8QqWwup7Fu3J5t/BI3i080idjSZ9erQ82NqqhU1Wa6WnloMcndub8H+k/qYr0Xvs8wspqdpU6TjA1coqcvtlVZc1r2FW6L+q7KttrHeLi4jj7l79my6YtPvuMRA24+ltlJyWTnZRIdlKipetIF5RZYUC5PVihIzESKHqhY3kspa6O13iK9UfuryndRd6A3KjuQ2WvcxcDBw4kvd9Aqnfv8GwzEjntIXz8WViCKQLoT8iYpburLrBAQki1cjXsK+nwZ3qbBI4QYgiwALgRyAYWAf8SQmQArwHTgD6AAB5wnzYJWA/0BSYIIcwb4XQyhh89ik3btgGuZpJ6q42K6srZ8nSt5wUuISLTrNUXeAsHtQ+VFCjS1eSsHMDiXbk+4kMvcqTlRi9sjESLvuCfHF9veTLDX1HD3Xv2MWjQINP9HY291ls5/PDD2fTzZsMeVlLk+AQfJ6YxMK2np0s5uNxQWVmpnpceVeTohY6aVq5HxtyoL2i13ISKP3eVnIesXCyLEuqpKd1N/pAjQ55DpLHXuTfpvftRtWuH6f5gxI1R/6hw9oKKdKVjo/FlmriR+66xorTDn+ltDTI+BfhC07QPAYQQc4EHgbOBHzRNe9u9/RHgA+AWXP8x4t3XFkB0OmJDYMiQIaz+dpnnZ7OO2WU/uiwzsiN4xokJng7l0oqzEHM3kSoU5PFquwbVEiRjarzOd4+tFxzBWHGKN46mYk0jGSPkv4le55mlmBsVL9z/YyVVdS0drvYDYK91N3l5eTira6iudoJiCDGKwdEHIbusOdJS4q4mHKC6sb5TuIpMIbcSh+N1D6p1xSSF3CsbS/azcmdCqfvzutV62jGocUNqVlZxZTJaczPbP3uPSydfHNRc2xl7nStcefLxvLlhu9c2f1acQHE67VlBOBwY1dOxgnPDd+SkJZGXlxf44AjSVoHzNvCR8vNo4CBwFLBS2b4WyHEr+4+Bq4CtwP2aphk64YUQvwN+18b5tSuZmZnUWHjO5sSPgIY14HBVNHZ9XK1IgWIkRFTRYCRkjArzGYkco/5YRtdwdNtmqZ2EFQrSunq515yVA0gUG1k1bymvvfRWtGeVRGStd8Z1LoQgMzOTiv0V9Ovf1yttHMxdVSADjltbhqguJil01Po45WVOzzFWKhNL4eKVKeXHaiODjAONW3ww2auBp+n1u9WS1w2vbC6ZPbX1rSfRWlqYOnWq3zE6GPuZrpCZmcnY7qUEbjASPPqifZEWP1aCj9V5BDsfKe4a9pey+/W/8MX/3iEurmPDfNskcDRNK5PvhRDnAU8B04GRwHbluHohRBOQrmmaE7jIwtjPAM+4x+4UfxE4HA5qasyDJiV93a0edhYtgtzvuYPWzuRq+nb/SQNYrDwoA1UVlvv1PacyRiR6iRy1NYSKXgTJY8E7jVwdV3+sbOOgtnmQ46qiytFtG1pzC6ufXc8tU6Zx5pln+r23jiZSa70zrnOA1NRUnwZ6gYSNIzGN8rpaCvdkeMWsSKuHWt1YihyzPk8S2SpBj4z1Ka9r9Igdq+4pM7Ejz5eVjGUKerEzSRFqvk06Afau/IqypR+wY/0an67t0YT9TPfG6jM9WMIZ1KviT8QEe00pdqwUEpS0NDaw6+V7mXP/TMaOHRvU9SJBQHklhLhLCNFk8HrOvT9LCPEOMB+4RtO0J4ADKIUshBBdcIkp31zNGCI1NTWk/wwZIxK9xILqrlJfFWsafV6ec3Q/q+NI1LG8jnOfu/2TdB+rkHyZxdnor6keJ8eS56tjAuwv/IIeqY1hLwIVKvZat47rwW+tQ7C+sjG0BgmbxdeAbxHAQBWHPcelBB8orKIGDVtp45DnqPMboNxQU8OWF/7MHU9Np2dPa3VVIom9zq0T6jM9WCLdvDPU6wcrivZ++jI5g/pzyy23BHVepAj4p4SmaQ8BDxntE0KkAkuBZcBQt5IH2IDLZysZBvysaVrbnjxRTmpqKk5n8MbMijWNHjGScWKCx5oj9wU61+hnOZ5nXFVABRgzkJvLSn8qVxFDV50dVyq663w5RkFaV7ZtPcC8+54iPj4+4Hjtgb3WrZOamkqN09qDX23jYIa+5o2MqfFy9bhdSfqqxHpBY5SpZWa98QpC9tPDyuxc/Xuj6sj7tmxmxOFDuP+CWy2PHUnsdW4d+UyPpPM8FHFjpfCeWTNNq9cNpZ5O3J4iXnz8r1GTJdhWW+lvgRJN067WbX8bmCOEGIvLV/sQ8GobrxX1VFZWBp3zX+Ss84iQupo5gKsujd79o6K3zKio4sjnPJ34kcer4kqPVVFTsaaRdHdPxarSTEo+ae23VfLJw2SMmAXg1Sn9zcrUDusyGwL2WleorKzEkeZyH8lsKn0sjhEyi8pjpdHVt1FFTjBio3X8VteUil4EqV3C9dWO9dYbtZu4VXeX2mpiUhwss9d5pySUZ7o/wuWaCqboYChCRT3XKseM7MYHu7dH1TO9rQLnKGCc2xerMhiYDLyEK9XwTeBhYpxNmzbRLzu4QnVqAG/upBlkjEhU4nAUF5SJqHGJIpTjphlsn+GxEmWcmEBdzRySUqcZjutr3fHN0tIjx5UiSG0mqiLdU/vyvuHZt36gpUV0eBphENhr3Y2maWzatImBgwZ4bTcSOvrMqk+LG1m9ORHwrVCsvvcX+OvTK8otNlQRYyZ0jMbRt1hQm2l6rqGIHHmtQCInJ6WK7e+/xRsvvM6cOXP8HhtF2OtcYdOmTaxPSOMY3faT+uxl6S7fZ30gy0ogq0qksNKnqi1usrrizXzx1kL69OlDdnZ2yOOEm7YGGU8FzFICtgPvtWX8zsamTZsY1L+f5eNlIT9pOQlilsZxAAAgAElEQVTGjQS+4sZsmypiVGuRFDnqPr0Vp3UerULHKFurYlmToQhLSp3mshK5x0nt6+Tlpxdzz5/u5w9/+AOJidYKv3U09lpvZc+ePXTp2oWMDOMaIGmJDo/IUdPEnY3VFO7OoLysVSwHDCI2aJapFxv+yE5K9M7acv+sFyhG4xk16IRWQaW2czCa07I599P9YBP/+9//GDVqlKX5djT2OvfmhSXf0XNE6+/upD57fd4bCZ1ARGu6uJWmnfr9dbs3seu5acx+4D5uuOGGqHFPgd1sM6xs+HE1v/3Nr4M+r/+kKs/7QK4gIwETCPWcpNRpJKVOo65mjqHI0SNFl96Coxc5RvPqmvJHht5USkPpj9RXuP66PvD9AW64bgrTp08P+j5sooPNmzczaLD/B7QqciSuflTemVISffdwPYEaWbZew/cPA31MjipywNgCpLfOeNxZBqKo2JnEjjLYuWItdVvWcMAde71l6Xds27aN7t07rsS/Tdtwluxk8GlneW2TgkYKnLYInWhAFSyBhNfAowdQX76L7KZNbF63C4CDm1Zx9x9v4+abb47oPEPBFjhhZOv2HQzq3z+oc/Rp2Kpo0FtEQhE3euQYZsJGb8XRW3BUXKLHtb3kk9btiV3P56ILkvjyy9cpeaGBcePGMXi4q4hf3JFxTJkypc33YdNxbNq0iUGDBwQ8Toqc1vTxPT7HqC4pFemeMmp6aWa9kbVq9FYbI9Rj9K6tD3c4LNXGce4/AJ8VUvj556xevZqjjjqKMWPGkJTpmvOtzz5ri5tOTnXxLtLy+np+9idizNxWnR1N06heu5T/q1/HkiVLiI+PZ/C4cZxyTH80TSPh2DOjtraTLXDCRHNzM9t37WJA3z5BnSeFjVFl4Y5CH3SsD3hWa/VkuDtR9Jo4nf1Li2lqXE6/PisZO/YOZs6cyZAhQ6LKZGnTdozib8yQIqe0toQPdzi86t3oU8CNrDT+hE1eiqumji+1hplUeleVmRAq6FlBsYGImpiXyKfFjWzaWcu+5Z/y9dMvc/7553P//fczZswYUlN9203YdF6cTidNNVWkZJrHlIzOSmWFn4ax0YKVrCv9sVpzM7W7f2LvJy/RP97JqbfdxkMPPcTAgQM7zTPdFjhhYseOHWRmZJAaRDXegqOmMXnDA+Q2JHlaFyx2W0X0MTjhsN4YYWbR0Ysbs5igsqXbGd/XyRdffMGgAT256KKLufPOO0lODr3nj010s3HjRk49c4Ll451NTk9wsVqtWKJaa/RtEoqdSRT0NC+1ohdFre9rvQKNjRp9rt6fgHwESiuOuk0dNzuhkscefp41n61m69atjBs3jv/973+MHj3a8udg07n46aef6Nm/N8JdjVeNv4kWzFpEtKWdRNmPKzjsq/dYsmQJffr04YYrL+PWW2+lS5cuYZp1+2ELnDCxYcMGhgwKLnBsZ9EijuZYyljDwhJXwQ9Ht20eN5Wawh1uZPxNoHgcs9RyraWZJucy4rf9xMSr7mP+/Pn07t07InO1iS42bNjA72+9ztKxMg5HigW1DQMYVw0OpqO3J45G30/qYDLZScH935Gp43pK1xXx2kP3Mb7geJ588kkKCgo6TXC8Tehs2LCBXoP6+hU27WW9MRInqogJR0fzlsZ6KHyZNd98wYMPPsgzzzxDTk5Om8ftSGyBEyY2btzIkIGhRcZ/2uCtqNMVK04kRY7EXzyOEan9nBT/71VOGX0Cz/x3Fbm55n2tbGKLlpYWfv75Z4Ycbr0x6tbqPYDDp/aNFXFjNVvKq56NJ6bGJULM3VWtjz8jcaNpGt+/+AJr//smz/39KS688EJLc7GJDTZu3EjOgOBCDsKNXri0VcgYWW9GH92dA9u38OV9f+SX/zeGJ9asITMzcDHXzoAtcMKEy4ITfE0XmSqux1fkTAu7m0o/nip0VHGjurG6HdvIrvf+yZ/vuJvbbrut0/hibcLDjh076NGjBw6H//RulfK6Rt8ierq2C/4ypGScjVHVYjBuzWCUHh4sW9/5J7uWfMzPa9fRq1evoM+36dxs2LCBXgW+f7Saxd3IAONg4l3MCIdFxmxc/dxq9+/l87tvYv6DD3DNNddE5LodhS1wwkTRqpWcccP1lo/fWbSIsuY1rtibBu99jm7bcFYOMBQ5ELl4HBWja2haM7W73uSGSydz++23R3wONtHHhg0bOOzw4IR8dlIixUrbKtVKEyj120pquGdcd20bVyq3r+iRgkeKHbUWjl4krVu8jK9f+hcrl6+wxc0hyqqiHzj/wpMN943O8g4oVwVPtIobI0YO7crHf7yJO35/Q8yJG7AFTtjYsXs3/YPIoJLipshZZ5g9pRc5KpESOjIOx2zc5qYfOGHwkcydOzes17XpPGzbto3+A62XQnA2Od3tGdwp2UHE16iYWW8kPnVrTIQLGNfKUc/Piq/k37Me4vOPP6N/kGUfbGKHnTtKyOrtLW71wiYSmMXZhJvRR3dn1Yt/5xcj85k5c2bErtORBOwmbhMYTdPYU76XnlnWaiDsLFpESZc6T2AxeHfh1tfGkUX2ZNdx2ZBTBgmHE3+iKaF7CVdeeWXUNMe0aX9KS0vp1at9O2IbxeGE4nIyyqQyYuXqEnJ653DccccFfQ2b2KC2tpbGugZSuoWvD1W0MPro7h7htKdoFVdffXXMhhrYFpwwUFVVRWJCguUU8bLmNSzcU4mzcgCFbPPaJ8WNxNuSI2l1W7mYEZGigHriE/fTp0/HBt3ZdCylpaUMGR58ML2Z9cWo7o2/Fglm40h3k74Fg9wmU8XVf9XzVCqKS8nKi55+OjbtT1lZGelZGV5f/GbWG308TjhicOQ4kaamtCSmn+m2BScMlJWV0dNik01pvVEp3jjaq4KxtNyoP8sXuCw6HmuOzqrjr5t4W0hKnUbawDy+/PLLiIxv0zkoKysjx6IFp6S2FHA12DRqTJmXUuvV8NKz3WCbXggZuZmsNMA0OlcvmgaMGsG679fS3NwccCyb2KSsrIz07NYikoFcU2oF484ibgB6jjgmpp/ptgUnDJSWllp2T0km53aD3AoWlpgfU5DWWulVxukYW3Qg3e0qrirNpGJZk8d1FS5LTl3NHKp3HkdcnK2JD2VKS0vJyfEvcKobnayp2OL5udjpyrjSd+P2vHdv91fQzwjVEmNWldhf3I4ZcfHxtLRo9lo/hCktLaWfBSue1To4+jo24bLytBURHxfT69wWOGHgjRdfYPRRRwU8bmfRIgCObj62NYNKh6PbNi9hI5HbCqvrfSw8Eune8uolFcb08tqdZYwcOTIsY9l0Pnbu3MmGjRs4fOjhpsfItgxtRbXG+Na3CSxuZE8qWQtHPQ/8W3HWrlxH36Gdpxy9Tfh57vVnyR81HPDvmlIbbxr1ofJXx0Z9rwqf9qRi80+MHHlnu16zPbEFThvZu3cvr/znvyx77x1Lx8u6N6q4yTtiBSBFTKu4yXd4m+WLnHWG4kdSiMuNld5rQGs15BGJVKyZ4TlG7TNlVOvGH1pcGcccc0zA42xik7lz53LZ5EvIyDB+CFc3OnE2uVsxJPl23baCvzgbdZ8qUNT3Vi02eoGkjrXhuzUUFBxpec42scX27dtZsugr/vvd66R3txZ3oyKtM8GIlfYWNgD1VQeo3r2DESNGtPu12wtb4LSR+fPnc85pp5LXy7yktax5A/hYbfSCRS9qzPYVOesMt0Or0AHc7qzWff0neXcsB7xcWhK94IlPGM05Z/e3a4IcouzZs4eXX36Zb1cuCXisIzENZ2M1jsQ0tlbvIS/FOwbHTIQU7skwFEPBCKRAncQDdRnf9dM2vnjtA77/5jvL17SJLebMmcM5l51Fevd0y+forTf+BEuw4scfesuPVUtQS3MTK56dzxWXXBxU0c7Ohi1w2sjnn3/Onddb68tj5JLyJ2gkajNOo/NyG9zvHa37PAIozeUuUGvttMbxwPZPXP+JzXpRAXTNOoxjhyazYMGCgHO1iU2WL1/OscceS69cYyGvWm+cjdWAbNHgQs1yglYhYhYY7LKqWI+fUa0wgTqJg7Gl6KsPlvDMn/7O3/+2gCOOOMLytW1ii88//5y7n7jDdH84+k+FS+QYubkCUV91gC/vv4OROT2YPXt2m+cQzdgCp4307NmTA1VVlo9XLS9m5DuSWkWLG/3PRqjH5HZxvdcLI6OiguDKkpKxO6rrKqX30Zw9digLFy7slN1kbcJDz5492b9/v6d5Zlpi6199qrgxQhUz6s8Sr4Bjd+xMIEFi5mICbzHTGsfTGugsM7LkvwU9K6jdWczTdy/gk08+YdSoUX4/C5vYpmfPnqzYsYeavN5+KxaHSqTdUYHGXz7/Yc4dM5oFCxbEfE0zW+C0kdzcXMr2lJvu31m0iFXx31NU62rJIAWGs3KAx43kL64mEDnxrf5To75WptadtBIKq+vJPx84H695FJ5fj7NyClVbiznwznKefPILW9wc4uTm5lJSYhw87E/cSKwW5tO3WTC37rQia9uYjqmkmHvEjdITq6WlhX/e8yL33HOPLW5syM3NpbJ8f0dPIyQCiZtdy78iYfcW/rronZgXNwBC07SOnkNAhBDRP0mbaGa7pmkDOnoSgbDXuU0YsNe6zaGApXXeKQROuBBCFGqaVtDR8wgHsXQvEHv305HE2mcZS/cTS/cSDcTS5xlL9wLRcT+xW+HHxsbGxsbG5pDFFjg2NjY2NjY2McehJnCe6egJhJFYuheIvfvpSGLts4yl+4mle4kGYunzjKV7gSi4n0MqBsfGxsbGxsbm0OBQs+DY2NjY2NjYHALYAsfGxsbGxsYm5rAFjo2NjY2NjU3M0ekFjhBishBimxDCKYT4UghxhHv7NCHELvf2xUKIoco5pwkhfhZC1Agh3hBCpLm3xwkhXhVC7BNC3N4B9zJVCFEihKgSQrwvhMj1N99ovpcA92P4O4v2++lIYmmdu+cQM2vdXufhJZbWeiyt8wD3E51rXdO0TvsChgBO4AwgGZgBrASOB0qAgUBX4C/A5+5zMoD9wLnu928Cj7n3nQbMBFKA9wFHO97LkcA+99wdwGvAywHmG5X3EuB+DH9n0X4/9jq317q9zu21fqiu88661ju7BecU4AtN0z7UNK0WmAuMBDT3S/baisf1IQOcDfygadrbmqZVAI8AF7v3CfexCe737ZlidjLwvqZpyzVNcwKvAPkB5hut9wLm92P4OxNC9CC676cjiaV1DrG11u11Hl5iaa3H0jqHzrjW21MBRkBR5gADlJ/H4FKSCcBTtP6nOAgc7j7mUWCOck5X9zEOXC6713Gp1Jvb+V4SgS7u95m41PETAeYblfcS4H78/c6i9n468hVL6zzA2uh0a91e5/ZaD2FtdLp1HuB+onatd+pu4pqmlcn3QojzcP0HmA6MA34NHAP8DMzGpTaPBdKB7coY9UKIJiBdc6nSi9rtBhQ0TWsEEEJch6tAUh0wCZiMyXyJ0ntxz8Xwfsx+Z5qmNQkhovZ+OpJYWufuucTMWrfXeXiJpbUeS+vcPZdOt9Y7u4sKIUSWEOIdYD5wjaZpT+Dy972sadpK94c4HShwm8wO4PITyvO74FKaFe0/e180TXsWl0/yTuBtXErYbL5RfS/gez9CiEST3xl0gvvpKGJtnUNsrXV7nYePWFvrsbTOoXOt9U4tcIQQqcBSXCauoZqmvevedVB3aBPQDNQCG3AFS0mGAT9rLt9hhyGEuFsIcRmAey5PAj2AXZjPNyrvBfzeT0+Mf2cQxffTkcTSOofYWuv2Og8vsbTWY2mdQydd65H220XyBfwOV3CTfvtYoBSXOTMZlznzfa3Vd7jffUwG8AFwb5Tcy1pgEJCEKxJ9tb/5Ruu9BLgfw99ZtN9PFHyWPp9ZZ1znAdZGp1vr9jqPyOfp87l1xrUeS+s8wP1E7Vrv8A+tjR/4E0ALLjWvvvoDVwGbgErgXSBHOe8sYCsuU+ELQNcouJcE4K/u/8SVwIfAYYHmG4334u9+/P3Oovl+OvizjJl17m9tBJpzNN6Pvc7D/nnGzFqPpXXu736iea3bzTZtbGxsbGxsYo5OHYNjY2NjY2NjY2OELXBsbGxsbGxsYg5b4NjY2NjY2NjEHLbAsbGxsbGxsYk5or6SsRBiInBcR8/DJurZAryuddKoeXfFz99j/9Fh458WYKGmaSUdPZFQEUL8Cjiqo+dhE/UUaZr2TlsGiPosKiHEoscf+vNp6WlpgQ9W2LdzZUjXO9CyI/hzEhpCutaOusaQzttcG9p5dQd7hnRebUVwnz2Ac0dTSNeq2dgc0nmN9Z7aUqmapumLgkU9QogJZ5x52ueXXH6h3+Nqm+osjVfXbPU4a/W2qhqtrfGqBmu/v/0NXQIeU1GbaG2sg10tHVdVbe3/TdUBa59dVbW142qrLHzGBw5YGkurOUDzruUkDvkl9SufE5ZOijKEEMuffnnBcfHx8WEfe1/d3rCPKdlSXR+xsdfvS4/Y2Fu21kRs7LKtZYEPCpHmjV8hEpNpLv6+q6ZpIX3JRr0FB+CMUyaQ1aNHUOfsLGoJ6VplzcH/AV3SxdqDTk+KM7TznCH+R3NWDgjpvKrSzKDPaa4PUYRtDk0YNbZ+JDVCiMGapm0JaaAOZPCQQZzz67P8HlPd6LQ0lrPJ4nGN1ZaOK6+zJoTKLYr24oPJgY9xJlkbqzLwWADley3+vymz9tk17LX2xdFQXmXhmqWWxqLGSXzGYBrWv0XikF9qTZs+jOuMVsszzzmDhITwf/3sqtkZ9jEl3S3+vkPh4K6siI29N82aeA5p7OatERs7Lj6H5l3fIrr1rxdC9NE0bXfQY0RiYjY2HcxmIUSne+jb2FhBJHWjy8jJaDXlxPUc0eJub2BjE1MIIUjoewKJA09BpPba1XXU1UE/022BYxOzCCE0IYS9xm1iDhGXQOIRZxGXMRiR1tsphDiso+dkYxMJ4roPoMtRv6Vx6+ckHna6JoSw7Jq1H/42sU6zECKjoydhYxMJEnJHkXj4rxCOXj93GfFb22ppE5OIrul0GXkFWm0FcT2PbBFCOKycZwscm0OBiR09ARubSBGXlkd87zE0bVvc0VOxsYkYIi6BhIET0JxlACdYOccWODYxj6Zpb3b0HGxsIoGmtdC45TNayovQnMXBZwPY2HQSWqpLaFi9kIRBE9E07RMr59gCxyam0TStU6bS2tgEQms8SOOaV0AIWvb/nKBp2v6OnpONTSRoLl1N40/voTlLj2hY86rlZ3qnSBO3sQmBHpqmVXT0JGxsIkFLdTGNG98hYcApNKx5xRbxNjGJ1tJE06aP0BoPolXvTtM0zVoNBze2BccmFom3xY1NrNJUspLGn95Hc5YOscWNTayi1VfRsPolRHIGLeVr44IVN9A5LDi1U6bfRZcugSufep1UFVqFxTqtMvhz4kIrKljVFFrV3oqm0K7X3Lg+pPMa64L77AEaq0JL6GioC+3eJJ3YJVX7v/cWsX2b/0raTS3WCiE2aRaPszheQ4u1tVrfbO33XtscuIptXZO1v7/qGq1VxK1vsLa26ussfiYN1o5rrLdwXL3Fop91TujiQKve7dA0LXKV5yJL7XW/vZG4uPD/fX2wKXJFzA9YrNIdCvtqg3/GWqXiQGhFV63QUBm5Jajt3+2u2P18yM/0ztCqIQ2YCrzWTpe8pB2v1d7Xi+V7O0fTtPntdK2IIISYDvyro+dhQnuvnWCJ5vmFc24twM7OWL1YIoTohqvvWqR+X5FaC5FcY/bYvpyladrjbRkg6gUOgBCiUNO0gli7Vntfz7636Caa7yGa5wbRPb9onltHEcnPJFJjd8Y5H+pj2zE4NjY2NjY2NjGHLXBsbGxsbGxsYo7OInCeidFrtff17HuLbqL5HqJ5bhDd84vmuXUUkfxMIjV2Z5zzIT12p4jBsbGxsbGxsbEJhs5iwbGxsbGxsbGxsUxUCxwhxGlCiJ+FEDVCiDfcKeORutZkIcQ2IYRTCPGlEOKISF1Ld918IUS9EKJXBK8xSAix2P05rhNCjI/UtdzXmyaE2OX+LBcLIYZG6DpfCSHGuN8LIcQ8IUSlEKJYCHFDJK4ZCdpznYeK+llHEx31/9YKQoipQogSIUSVEOJ9IURuR8+pownnWjf63QshBgshGoQQdcprQghjf6kb4/lwPGOEEH/SjVsnhGgUQlzh/h5Qt18Z5NiWnodCiIFCiKVCiFohxHIhxLAgx04RQrzoXtelQoj5QohE9777dfexKYhxTX93ocwZAE3TovIFZAD7gXPd798EHovQtYYATuAMIBmYAaxsh3uMB5YBGtArgtcpBGYBqcBkYHcEr3U8UAIMBLoCfwE+D/M1TgOecn9uY9zbrgF+BHoDI4C9wKhI/w7DcC/tts7D9VlHy6uj/t9anNuRwD73/wcHrlohL3f0vDr4MwnbWjf73QOnAq+EYa47ga66bWF/xgDHAmuAkcDXIY4R1PMQ+Ap4EEgHpgGrghz7fuBboA/QC/gGuNm971VgUohzNv3dBTNn9RXNFpyzgR80TXtbc5XdfwS4OELXOgX4QtO0DzVNqwXmAiOFED0idD3JbbgWSsQQQhwDZAEPaJpWo2naQuBCIYS18q/B04xr0coq2fG4Hmrh5CT3+Grp7suA2Zqm7dY0bQ2uL5SLwnzdSNCe6zwUjD7raKGj/t9a4WTgfU3TlmuuEvOvAPkdPKeOJpxr3fB3D4wC/FoNAiGESAKaNE2r1+0K6zNGCJEALASm4BIKoc7b8vNQCNEP12d0v6ZpVcCjwAA/VnajsScBczRN26VpWinwHPAL976BFu/DaFzDc0OYs4doFjhH4VLkkrVAjhDCEYFrvQ3cpPw8GjgIVEXgWgAIIQ4HrgJmRuoabkYDPwMLhRB7hRDfAw2apkWk7rimaYXAu8BPQB2uiqV3hfkaMzVNuxbXX8gS/XopAg4L53UjRHuu86Ax+ayjhXb/fxsEzwLXAQghMoHf4rLWHsqEc62b/e6zgTOEy0W+Q7iqgwfLAKCLEOIHIcR+IcR/hSuEINzPmBuA7ZqmLcH15X60EGKz2+0zV7p9AhHk83AksF6KN03TWoANZvdhMva1wMfKzwVAsfv9QOBp9+e2XAhxXBDjDsT4dxfUnFWiWeCkA57GUO6ba3JvDyuappVpmrYNQAhxHvAeMF3TLDb0CRIhRBwu1XuzFvl+Mlm41PVHQF/gBeBt918pYUcI8Qvg18AxQBrwIq6/XiON13oBqonAWokA7bbOY432/n8bDJqmNWqa1iCEuA6Xe+BcorcNR3sRtrVu9rsHGoHPcLkIzwRuEEL8NsjhM4B1uKwgA9xzflk/f9rwjHF/B9yOK3QAIBH4DjgBGANMAO4IZWw3ZnPVb1f3WULTtCJN06qFEKlCiMfh/9k77/AoqvWPf85usum9EBJSCL13QUFQEAuiAnpVUBG94rVX1Ov16sWuKHJt99p/Yr9iF0WRLiAivUoPSQghjYT0bDm/P2Y2TJbdzSbZTWM+z7NPsjNnzjkz+86Z77znPecwBXheFWRZwDyUrrH/AxYKISI9zRrnv12j69yaF9ssRulbBUAIYUKpr09WiRZCxKKIjiHAX6WU3/miHJXbgQNSyl98WIaW7VJKu8j4jxBiNtAD2OqDsiahxBpshtr1lUqEENFSSm93VWmpYy9AMD6yFS/TrHbe3mjm+7bBSCnfFkJ8hOLN+UYI0VFK6bvVD1s3XrV1D377YiHEa8BEGvCSJaX8DaUbxl7OLOAYSle7t9qYiUCelPIPtcw6ay4JIZ5FEUBPNzJ/V+2h43btPo8RQoxFeXndDgyWUmaru4Zpkr0hhLgDJQ7t5/rylFI+rK2/5rf7qLF1bs0enD9RlJydXsA+tb/VqwghQoDVKO6yns3QSJ4DTLVHiqvbMoQQl/igrAyUtwNAia5H+d29fh1VHJfztaDE5fiqPDuO9tIb3wg4b9Nsdt7eaIH71mOEEI8IIa4FUH/L/wLRnN6eOa/ZuqvfXgjxD1X42PEHGuQlF0JMEEKc55CHxUn9m9LG3IASZG0v8zYhhLbLpcH1dsBVXfcAvVQPkt2T1AMlINkjhBAXAF8CD0gpL7aLGyFEbyHETQ7JPT4PN79d4+vsSSRyS3yAGBTFfDaKy/AHYLaPyroZJWCtpc7VZ6Oo1GtXjNJvGoTSb70RdZJHH5R3NpCL0kUVBMxBCbb0RVkZnIzAvwVYg/IQGQ7kAd1a6jdtwDk0m51761q3lk9L37ce1G0HkA4Eoozy2drS9Wrha+I1W3f12wNLUMRkOMrooSw8GNXjkMe1KMGuPdV8PkDxAHmljQEEijAbpNn2DvCteo1SUcTIzAbm61F7iDKwZZbaPv8LWNHAvNcCM5yk6YwSNHyhmvdtwCHA5GG+Ln+7xtRZStl6BY56UpeoF6gMpT8vwEflvAbYUFS69pPaTOfp62HiZwB/oARfLgU6+/h8blAbiBKUgOMOPipHe3MYgddR+mazgGnN8dt56Tyaxc69da1by6el79t66uaHEouQq94Hi4CuLV2vlv54y9bd/fYo3SFlKIMrbm1k/k+qoiAfRdxEeauNUR/eFYBRsy0S+Fxtow8DswFDA/P1qD0EugO/o3jVV3lyvzjkXebkui9V9/1Fve6lwEqgTwPyTXH12zWmzlJKfakGHR0dHR0dnfZHa47B0dHR0dHR0dFpFLrA0dHR0dHR0Wl36AJHR0dHR0dHp92hCxwdHR0dHR2ddocucHR0dHR0dHTaHbrA0dHR0dHR0Wl36AJHR0dHR0dHp92hCxwdHR0dHR2ddocucHR0dHR0dHTaHbrA0dHR0dHR0Wl36AJHR0dHR0dHp92hCxwdHR0dHR2ddocucHR0dHR0dHTaHbrA0dHR0dHR0Wl36AJHR0dHR0dHp92hCxwdHR0dHR2ddkebEjhCiLuFEFc52aRf1McAACAASURBVJ4mhKhS/39PCNHFTR4XCSF2CyEqhBAbhRAjfFTX6UKIHzxIV1v3toIQQgohElq6Hu0VV3bukOYbIUSki33nCCH+9E3t3OPLsoUQs4UQb/gibzdlurw/W/I6txe0ti6E+FIIUSmEGCKE+NrL5awQQlztzTx9TVusc2ujzQgcIUQ4MB34op6kLwNz3OTxP+B5IAaYB3wlhAj0YlUBkFJ+IKW82EkdjN4uy5sIBa/aRWs/59ZEA+z8/4DHfF8j39Oa7KM11aW948TWpwADpZQbgQwhxKUtVrk2iC/a7kbWo9XcQy1+MRrATOAbKaUVQAgxUwhxTAhRCNxqTySl3AokCyH6OMnjTOCwlPJ9KWWllPIjwAb0Vt8OPxNCLFO9O+8JIe4QQmQLIQ4JIcY5q5QQYqIQYo/65rFVCHGuun2GEOIn9f8VQoinhBCHgCscstgBBAghytS0aUKIX4QQpUKI34UQAzT5LRFCLFDr96MQYqoQYr8QIkcIca0m3SIhxCdCiDK17BR1n1EI8awQ4qh6zF2a85BCiPuAYiBeCDFCCLFZPa+9Qogr1XQ71EOyhRAdhBAZWi+Y/bt6HrlCiKeAfHXfQCHEOrVevwghUt3/5KcljnY+TgixTb1mnwshotV0C4HJQogYF/n4CSFeE0IUCcVTOdC+QwjxgBDisBAiTwjxil3gO74xar+r9nGbEOKAaj9/06R7TAhRLIQ4AkzWbA8SQnwqhDghhCgUQrwlhPBX92UIIf4hhDgG/FMIka05LlQIUS3ce2K7CSFWq/dCphDiTnX7c0KIjzTpzhdCZKr/O7U/9d5/XwixGnjVRXmPqud4VAgxWQjRAVgK9NDcEzoNo9bWhRD71W071d/9HeBRZwcJhX+qbVi+EOJfmn1ObVuzv45HTtT1/jekjf1OCPGRen9tcmarql2OUf+fqzlH1Da1vxAiTijtdZnaXj6t7n8dGAN8LIS4UjSg7dZs7y6EsAohYjXbtgghrvDg3nxQ/ZsrhLhXc/xQoTyXTgghVgr1Oatek4VCiO+Ab53+2i2BlLJNfIC1wEj1/64oP+YoIBL4HqjSpH0e+IeTPKKAHprvKUAVkAjMBiqAEUAyUA78CIQDNwMbXNQrD7gA8APuAjaq22cAP6n/rwC2AclOjk+z1x1FcG4DbgFCgNuAg5r8bMBlQDRwGNiIYtAXAAUO6SYDASgerZ/VfbOAn1G8V32BbGCMuk8CHwKh6vc/UBogP2ASUKipswQS1P8zgBGafRnqNUxT6/EcEKiezxHgUiAUeAZY3tJ21do+DnbeCTgGnKXa+Xzg/zRp/wdMc5LHOepvdD8QDPwD+FO1r6nAbiAd6AAsBp7W2OnVmnxqv6v5faHeD5eh3DcBwLmqHfUBElS7+VM95nY1/zC1rL3AJRo7WaLasgnlfh6g7psEbHVyXrOBN9T/FwBPqMcOAcxABDAcKAAMarp/q/eAS/tT8y1Vr7Nwcn9K4BU1j78B+zXX+c+Wtpm2+tHausbGEjTfc4FEJ8ddA2xRbSoN5QVqpCe2jaa91fy+9vZ3Bg1rY6ei3F+fobkvNXnPBx5S/1+D8kyJVz95gABeAN5HaSO7AEVAPyf3n8dtt0MdtgLXqv+nqHYeRP335gqU52UflPvpTDVtHnAVJ59PB1DagRmAFeXeNbS0bdWef0tXwMMbwYDSgEWq3x8B3tHsH+ZgtNcAC+vJcwxwCHhR/T4b5W3Cvn8vcKn6f18gx0keAhik/k0E7gQyNDeBVuDc4qIeaZy8wYYDOx32ZwAD1Py2aLYvBu5S/w9VjdykptukSRejGp4J5eYfptk3G5inuUl6avYNQBE3cSiuY6nZ1xCBE6xuvwr4QZPOBFQCUS1tX63l48TOHwJed7CV45rvjwCvOcnnHK29Av4oDVtX4CfgRs2+kZwUJCtwL3D6qv8bAQuKAHsb+KfmmL9o8ktCaTyDUe6hbcAMjZ1cqDnuE9SXEjXPfzk5r9mcFDg91XyjUF50atTrI1Aa/7PUdPtQ7nWX9qfm+5mb+1MC0Zpzsmiusy5wvGDrGhvTCpxfgCucHPsTcL3m+ziUB3G9tk39AsfTNnaDJt0MYImTel4PfI1y/x1GEUKXobSnn6tp0lUbDAMGo4i6c7R1Vv/3uO12qMOjwKfq/3cCn2js2N29eakmj1eBp9Trt8oh/30o7f0MYF1L25Xjx4+2QQzKDVGifu8EZGr25zikL0IRHKcghAhGeaObAjwopXxXs/uY5n8bcELz3VV33vXAd2p9sl2kAeUNtT5SgZ6iblCjEeXNuL76aeuYpdlWpP6NVfP/VQhh3yeAL13U8UIUz1gusNODujvWAaBGSlmh/p8KXODk3DoAxxuQf3vG0c5TgZlCiL9q0vgJIQKllFUov+0QF3kdtf8jpTQLIfLV/FOB/Zp0+Wjc2g442nyBmp9VCGFBEcCdgF81abT3YkcUsRKM2hXrkJ/W3r4G7kbxrFykftxxBrBIzWMDii0jpZRCiG+BCeo5RwCrUbxZruzPsS6O1Egp7feRVT1Op2k42rozXLXjKcBB+xcp5VIAtcvRU9u242jjnraxBZptVeD0WboUeBblJXgTih2ehSJ4lqppuqN4GS0o3hZxajZAw9puLQuAtUKJi7kUeE3dXt+9qX2G5KPc547X177Pfo09ecY1K20lBsduPPZf9xiKkdtJqZsciWKcdVB/5EUoP25PB3FjP64hnAdcouY1EiXwsynkobwZBNo/KA35qgbWL1nzfyeURrlQzX+QJu8uwN8dDxZCdEPp1hgqpTwDpcvPFTZUO1Kvr6uYkDzgS03ZQShv3ns9PKfTAUc7zwNe0lyzCGC4Km7AhZ2rdLT/I4QwoTzIszjZWNnphvLGBprfUqW+hwO4vxdfBt6UUvaQUl6OeyG7CBgkhBiL8ka93VVC9SXlbWCClHIQijDS1vsb4GL1851U4pmaYn8NbRd06sfR1p3hyr4LOSlMEUJcJ5Q4QHe2bcfmUKajjXvtt5ZSZgNlKJ6PtSgvAmeh2N0yNdm7wD1Syr5SymtwfT971HY7qcOfKC8dFwEDUbxcUP+9qX2GpKK86Na5vkIJaE7n1GvcamgrAicfRSVHqd+/BC4XQpwplKGyjzikj6KuErczDqXhnyKlzPdCvfxQbpZAIURX4EGUN+yGXFeLekwksA4lwHeiECJACHENSjCptYH1GiCEuFAIEYLiWvxJSlkNfA78XShBnN1R3iL6uzmvYCFEJ+BfAEIIu8q3oniEQPFaDVX/vxrljcAZi4DRQglADkTpfvmPlNLVDX064szOrxZC9FJ/y7nAw5r0ruwcoKMQ4lb1N3sARTjnoLzRPSCESFYDZf8OfKAeU/tbCiFGobxd1scXwM1qHROA+zT7/IAgIUSIEOJ6lAbW5CwTKWUZsBx4ibpvps4wqp9gIUQcitcHTr6FrkBplG/Q5OUL+7MA4fbgTJ0G4WjrznBl318B9wghYoUQ/VBsphj3tq0tFyGEvd27sfGn4BHLgL+iCJztKN3EsVLKfep+PxQ7jhBCPIgiuOx2bOFkO+tp2+2MBSjX6Ef1OWAv1929eZsQIlwIMRyl2/lblJjU4UKIS9SXjPuAXCnlNo+vRjPTJgSOlNICrAf6qd+3o7icvwD2oARfaemLIhYc6Y9iYBVCCIvmM6aRVVuMYriZKA3pMyixAE6HqbvgKIr7MkN9M5+M0m96HOUcJ0spaxpYr3Uob7V5KILOPuJltlq/TGAl8L6UcqHjwVLK3cCbKDfkClQ3J2AfnfIdsFF9uMxCecBtR4lJcDqiREp5DLgWZXREEcobhT7HgwYXdv53FJGbh/LQvk1ziCs7ByU48myUhn8ySqA8wH9Rgns3oNw72znptn4cRQTsBO7l5FumuzovRLGVVWpdPtfsfgjFDnNQ4uQeAl4WQrh6qH2NEvv1uYv99jJLUexuCbBZPY/PUO1TSmkGfkB521yibvOF/e1AieP5A0Aoo22mNzHP0wJHW3eBK/t+jZO/+0LgAdVT4c627eVWosSifCWE2IwSG+NLlqIEEG9QxfRm6nbp3qnWez/Ky+ELKAHDoAiKuUKIKXjYdrtgAYo3qyH35m4U7+Y3wP1Syo1SylwUsfMcyj00BZjmYR1aBKEGCrV6hBCzgAgppdOhgw5p1wI3SylPu+GbQogZKIFpF7Z0XXQajqd2rnoJ9wBnSikL3KVtKwghzgTek1L28kJeDwMpUspb602s0yK4s3UhRA/gIynlsOav2emNECID5Rni6uWpzdAmPDgq7wAThRBuA6NVl2Xh6ShudNoFHtk5MAGl67G9iJswlC6lJsWxqfOFRKEM4W1qTJyOb3Fn6zNRPAU6Oo2mzQgcKWUxiiu8Prfy3SjuNh2dNkcD7Hwmyjww7YUNKN1TbzYxn0SUbt8/pJTrm1wrHZ/hytaFEBFAHyllfbFYOjpuaTNdVDo6Ojo6Ojo6ntJmPDg6Ojo6Ojo6Op7SJib6S40OkZnHK+pPqKPjnMNSyrSWrkR9pIaHyszS8pauhk7bpk3YekB8R1mTn9vS1dBpu3hk522ii0oIIatenFxn2/ZPLbX/59ZUcP2RzRQUFKCZ6VFHBwAhBFLKVm8YQghZfvu1btP8tdDC2LFjmTlzZjPVSqct0ZZsPfnfK2q/Gw/WnQS3Jv8QeT8+T6fr32jmmrV9rOmRLVp+QqLvJ/r+48qzPbLzNttF1W/qSefT8uO5DB48WBc3Ou2a0hozy5cvZ+DAgfUn1tFpw5QfWIcpLr2lq9EmMR4sPkUwNie5OQ2dl9Z3tFmBo/XgLD2ew4MPPtiCtdHR8Q5Bo1yvjrA65xh9+/Zl2DB9ahCdto+zN31jZgnGzBIqdv9KVNL5LVArHW+Qm2Ot/bQkbSIGxxGtuAHIqamkZ8+eLVQbHR3vEjQqnsrVeadsP1RSRo/+Z7RAjXR0vI/94Wf3NhgzT667aakowBTWEUOmu7U4wZoS4bsKtnGMB4tbvLsKTv7OzdF15UibETiOokZLqNGPoqIikpOTXabR0WlLOBM5EQEmioqKXByho9O2cPcANvgHY60px+AX6D6PRgogZ8fpYsm3tITQaTMCxxUWaaPSZuX4cXcLFfuG//73vyxZsoQ777yTc845BwAppR4LpNNo5MhBtf8HsRmgVugcyPSn2L/5+9YzMzO599576dGjB7Nnz8ZkUtbk021dpym4Eic2aw3SasZmLgdifFKGMwyHiynev4iq6iwiBk8iIEFZa7Yt27ndO9YaPDl2tN1WvhY7bSYGp9zq3IOzs7yYsNROnHXWWc1WF7PZzOOPP84z984idf0eJkyYQGVlJZs2bSI5OZmlS5c2W1102hfvPum4+PFJFuftY8aMGc1XGWDbtm2ce/Yweifb+OWXX5g3bx4Wi4Ubb7yRCRMmNGtddNoX0mqujbnRCpHK/F34BcdiCu/UbHWxWWso3PEZZVlrCPRP5NjXj2M4fJyaTevJfmsG5q1bTqlnW8IeeNySwcfO0MbqeBq305C4njYjcO7bv54Sy6mLaheZq0lOTq59q/Q1a9euZeDAgfz00uvMThvEgcoTjB8/nqCgIF555RUSExN5+OGHWb9+PYcOHWqWOum0H/7x9Wa+nvc5Ys3mU/aVxYfQpUuXZqlHWVkZ99xzD+PHnc0Dt17MOWf2YtOmTVx66aXs37+fr7/+mn379jF//nw2btxIdXV1s9RLp/2Qu/5VbJaqU7Zbq0/gHxKPsp6s76nI20nW0n9gqcgjbuCNVJccJiRhEEIYKN6/CL+gaIp2fU7V8QOYKwrriLK2KHhao9BxxJXwaWjQstcsSAjxqxBihOb7BUKIfUKIciHE5+piegghDEKIT4QQhUKI+z3N/5ybr+fOmkw6fvvfOtuXFx9lzJgx3jqNOmRlZfHTTz9xwQUXMGLECC666CL+8pe/ML0qiFe6DueJjC1kJscwceJEHnvsMZYvX87o0aPp3r07d9xxB8OGDePVV1/1Sd10Wg5f2vrPP//M3Z9v4j+F6Yir59Zu31VYTElJCT169PD6+VitVlauXMlzzz1Hv379mDBhAn379qXg5+/ZsfQ5/A5lc+G1L3DXXXexceNG/v73v1NVVcVzzz3HG2+8wbXXXsvo0aPJzdUnbmtP+LpNNwZGkLP6WazVpXW2l+dsICjG+3YOYC7Pp/zYVo78+jRHVj1Jzpo55G9+l9j+19HhjLs4um4elsoiAmN7Urjzc6qLDxGcMACDXzAFWz8ke8VjlGaurnseDoLHmehpjUKotXp1vEmTJ/oTQlwATAb+BpwppVynruZ7ALgRWAm8BRyRUt6jpj8DmAt8jrIse1k9ZUiz2Yy/vz8zErpye1Kv2n0L8jJYlRTC2rVrvdpPunDhQm688UYGDRpERN5ObhzemaKKGsZ2iyP7W0UXLjt+lIcObiDOP5DzoxMZF5lIn5BIDGo9jlRXcO/+37n7uae4++67AaU/9/jx4xgMBiIjT/aLSinJyMjgxIkTlJaWUlFRgcVioaSkBIPBwPr169myZQv33XcfF198sdfO83TAW5Of+drWhRBSSsmTTz7JY489xolbp2E0KLa2ZVsYk9d/yP9++r423ssbFBcXM23aNA4fPkxaWhpRW2B4jJFw/0D+cmYAQaPiqbFY6XL3uxwpKmPi4HQuP6Mblw7pQlSoEgAqpeSJL9fxwaZcdu3aRWCgsr26uprCwkI6duxY594sLi7m6NGjlJaWUlZWRnV1NVarlYMHDxIXF8eXX35JQEAAH3/8sdfO83TBG7beXG1654vf4NAPtxDT7xoiu5wcEn58z3dUFe2j45keayWPKNu6jPysLwgITsYYHk3IsIuwRFgJCeyBf67SO3AiYyX5W97DLziW0E4jCE0cirHfAIQQGDNLqCnN4ehvLxHdcxJhKaMAxf5tNWUIgx8G/6Da8qS0UR1Rhc1cicgqwBrjj7RZsVWXYThuprpwL9U1uUSecRUhtuRWF+TcmuJ2HMm65xyP7NwbQcaj1Hy0Bn0psElK+Q2AEOI54AfgHkAARvUYAXiksPz8/Bg6dCimIyeAkxP92T5JZcGWFSxatMhrMQFZWVlMnz6dufF96FcYAMbB9Ot28lJFTVVGdSUGKMY8OTaVmYnda/f3m+rH9k8tJAUEc1en3jz8wP28+OKLSCnJz88nKCgIPz8/3nrrLaZMmQLA//73P6ZOnUr//v0JDQ3FZrOxbt06AEwmEwEBAQwZMoQNGzboAqflaBZbP//883nsscewSMnBXUqQZYgf3N75TGbPns2yZcswGLzjfL3zzjsJ2HKY+d3H4l9pZENsJENjlDe6fbugG3kEjYonJSaMI0VlfPfApDrH2wOgH0zowoKS3XTu3Bl/f3/KysooKysjODiYsWPH8v777xMeHk5VVRV9+/alurqatLQ0QkNDWbFiRZ0833jjDW655RZd4LQczWLnwi8Qv5BT532K7DaBw788QFXRfoLK4wCQyZ49/EWWc09JdWUOBVlfkdTtDgKCk5DJEViTI7CmRyIBq6kYY2YJ/uVKmx7Z5UIiuoyvIzqsKRGYMiG612Tyt8yncPeXYABr5QkMRhPC4Ef8kJsJju8HwImM5RRs/QD/2DQM/kHIPdXU5B8EwOAfgjD64xcYhXnfbuiS3OpGdnni2WnNIgi8IHCklI8CCCHO02zuD2iDCHYAHYQQocBi4AbgEPCElNLjxXcSEhKIOFbFyuJclq2s5O4x3RgwzZ9X9w7ghhtuYNGiRQwePLipp8SaNWsYIAPoFxpVu80+TN0urCzSxktZO0lJSeGPonxukF0ZNO1kHJA9XV+ZyGUnorHYlHs+NsTEgS+V4Og7p17L/YkdSE5OZudvv/NCl6HcOT2Z7Z9aqLJZuMoUzNQ7b2Xu3LkkJCSQk5NDRETrUvmnE81l62azmd69e7N5ewjzDizmnvSRxAaE0MF/ODkbPuD222/n9ddf94rIWbVqFa+mnIO/QRnNMDSmmG69C+uk+XbDfo4cV551q/88wqieSXX271NF2LLLL6CkugarlAT7+xETGIDZZuPBXzeQlJRE7969yT24m+HpHfjkzisw+SllzkuWvLU+l2HDhvHRRx+xbNkyOnTo0ORz02kczWXnhuwT+BGCX6mB0ux12MyVhI5RBHRs32nkrn+VpC63Ywrs4FK4gCJ+3O0HqCo7QHBEHwKCFdsVWSU4jt+xWWsoyP4GP1MUFZmbCU8fB5x8iBsPFmNNiSAo+SKS+p+BXccZgiIw+Jmo2fQ7xzb8F2E04RcQgbkinw6THicoZYBSwP4jZC39B2GpZ1O8dyH+gYlYa0ox+Ae7rLdd9LQ2744drQhqjWLHV8PEw4HD9i9SymohhAUIV12XV9WXgRDiZuBm7bZZs2Zx0003sX//DjgAPePDOL9nB87rHs9rEyxceOGFfPHFF4wePdppnr/88guHDh1i8ODBDBkyxGWX1saNG+kd7PzHsgudvRUnyA4ykr1vH93Do9lQWsAgEp2mBf/abfbbsE9IJF/2HUtOdQVZR8t5ou9YQo3+tccEGvx4vssQ3nj7Qzr4B1JQUMA111zT7KNodOqlSbbuzM5HjBjBoEGDuOyzDyiz1pBVbuWvKZMJNhq5K20aL3/wMTdUVPDOO+/g7+9/Sp6FhYV8+umnxMbGMmnSpNouI0cKCgooysklRdMwOYobgH9/tp7HnpuHlJJHZz/Kj5POq7PffkzQqCTs7+Ny5KDaQOk3//EYzxaXsXtfDgGmixk6QJ2CX91/94WDyS5cxao1iwkLC2Pnzp2899577i6bTvPjkzY9quP55GcuwJKhzO8UEN4Jw+XnYUq/gpgPqjmy8zU6dr6JwJBUp3mWF2/HUlBKYHAqpqBEl216dXkWgSF150lzFDmVf25G2mpI6fNPDu94nOriDPxTlZdcx8kI/fA/RXQExfYk9fy5mMvzMFfkExTTE5kSf/I4Uygdht3O8b0LMQZGYqkoJCx1NCEdh9Z36Vq90IHWKXa8ttimECIDpe91nRDiBaBGSvmIus8EVAPBUsrKRuQt7fWsrKzkn//8J507d+aVV14hLsLCW+O60jUulJX78/jbT0eYP39+rciRUrJ27Vo++ugjvnr3feL8A9lZUUyAMHDZX67g+eefJy0tDQCLxcKsWbN459XX+WfaAM6LSjylLvbuJ5uUTN21kkde/zf33HMP+x4cTWSQ4sFxNylhY8moKuWJjK2cec1fePPNN72ef3vG2wsQ+srWtXYO8PXXX5Odnc2qVatYvnw555mGcl7scMzSwv9yfiZubGc+//zz2kY9Pz+fBQsW8Pi9j5Ic1IGNJbsB6NWrF7NmzeLGG2+szXvNmjXccsst2A7n8cnQqbXbnQmcT/Yc5I0Nhxl61UTkz5u5rfOZddJrl5ewz+Mjk9wP8RVHspW/mtFilavzMFtt/Kc4k7kLN7B511598s4G4k1b93Wb3nXIKwBYrZUU5SzC3xRFcd5K/CMSiLxtNn5R8Zg/+5b8LfPp2PmvBAYrtiClpLJsH6WF66ksPYDBGEBNZQ7CYCI0cgAxnS7Fz18RAtJmJj9zAaXHN9Gxy00Eh9ed8d7e9SWySpDSyuEdTxCTOJH8rC9Im/Aq5nFdATCtOExD0YoRZ91P1cWHydv8DsHx/Yjpc2WT8m+t+EroeBqD4yuB81fgUinlZeq+AcACKWV3d3m4yVs6q6fVauXVV1/lv888yraHxgPwwrI9PPrjLjpFBvHA48+xcOFCDm1eyzhTJ/yEYElRDsmBIUzv0JW1J/L4Kv8wXyxdzLBhw5g6dSq5y9bwr7SBxPo7f+u1CxyAlcW5vJS1k6vPSuLFj++i5tNlPhE3drKqyrl171pyaxrcnpzW+FjgeM3WXdk5wP79+5k4cSLnVQ1kUERPzDYLt+54mgCDP3+741aCg4N57YWX6RPWlb5hXVh3fDsnLGWMjTmD+IAYPjyykKtuuYZnn32WFStWMH36dK4MGcuNaR3w03R1aQXOvl0xdOtdyK4dkfxty1cU1cDMlMvpEBBd25XVGHEDzgUOKCInaFQ8f5n3PRMj4pmxeLWzw3Vc4EOB4/U23S5wtEhp5fjRxZRX7aXjdXOxpkdS+vocivf9iH9AHBHxoyk7vhmbpZKwmKHYrDWUl+wgICiRiA7nUla0ibLjm0lIvwFTYAeOHngbgzGI+JQrMfqHUViyB4CYCGWUllbgAJQW/kFhzo+EpY8h9Ja7AEXcuOoCcxcbZBcg7kZQVR0/SP7m90ge+1Q9V8w9p5vYaWmBEwPsAy5D6av9CPhDSjm7kXm7bPhXr17N2WefzaZZ4+gcE0KN2UpmcSW/Hixgx9ETDE2J4ooBSbz2djYvZ+/k++VL+fXXX5k3+wne6zGKfZUnWGLK5Kc/8xgX2ZEn0gbh7yK2wR5XoxUx2lXNfSluQHlzGb/1ZyL9TIy75iqeffZZ4uNdL86oo+BjgeM1W3dn5wCjRo2CXeVMS5qAVVqpslZztLqATSW7CTEGcVbUACTwwZHvueCGS5k0aRLXT5zGsIg+jIkewoLcJWyu2kNwcDAzIy/j6pQwj+u2ofBk42QPQj7ZNVVX5HgicOCkyKn9vubkzM0vbtzBa1v/pFNoMI+/+z4TJ05ss7PJNic+FDheb9OdCRxQup2OHnyPlN4PY+ycgrSasVQWUpm/E3N5HoHRXQmxdqWsaANFR3+iY5ebKC/ZSWnRRjr1vIfK0v2UFv5OxYk9hMeOIC7lKopO7KtThiuBY98WPS2d3Bwr7sSN9vjGYrPWkPHj7fgFxRAU14foXlMwmkKalKed9ix6WlTgqN8vAV4B4oAFwC1SykbNBuau4ZdSMnfuXJ566ilKSkoIDAxkxIgRTIo6zi0jlb7+3v9cQpDByPxVSxgyZAgAffv2JfvPvRx7fiIAmz6ucSlsMO7AOQAAIABJREFU7DiKmeYUN3aOVldQbrPwfUEWP1tLmDVrFrNmzcLPr82vuuEzfClw1O9esfX6BM7OnTu57777WLx4MQCdOnUiuSyayQnjOL+jjcV5+3h41088/uQTPPjgg/j7+7Nx40aGDh3KrPTp9AztjE1KJBKjMNQKFU+wCxxnQch2gkbFN0jgQF2RoxU4lRYL+4pLyS4t55G1m0gZegYvv/wyvXv39jjv0xFfCRz1u1fbdFcCR0obx4/+TNHRRWpafwJD0wntejbhqWdDZjEZ2x7FFJRAbPLlBAR1BODA5gcwBcSR3PtBJR+bBWFQ2kW758aOVuBYUyLqeFlqzlHifeoTN7X1baLIMZcfw2ap5sShZZTlbCCqx6VEpJ/XbBMd2mkLgshOxiuTmlfg+JL6Gn5QZl5dunQp48ePZ/ny5cocNtGCS/t25Mslx/A3GFhUkFX7Fnjfffdh3PoDT03oA7gXKPZuKa2g0dIc4kbbNWYns6qMpw9vo8/kCbz//vteGzrc3vC2wPEVntg5wNKlS+nTpw8FBQXMmzePVZ/9QpCfmfu6jOL2bQv5fcsf9O3bF4CjR4+S3imNub1nEWA4NSDZTn1iZ0Nh5CmeG3sXlh27J6exXhytwNFittp4e8de5mzcwZJ1v9O/f3+P8j4daUu27krg2LFaKqgqP0RQaBcqSveSl/EJASEpRMSeSUn+GkyBHYhNvqK2TT+W8TGmwA5EJZx3Sl5agRMT0aN25JVMjqgVNHaMB5Uh456IGzueipx643JOZJO/6R0Co7sS0++aFvVatmbBc9oJHEdWrlzJPffcQ87+3Uzun8ibaw+RnZ1NUpIyTHDnzp2cc845fDW1D2ekRnssYPpN9cM0dSw1ny47ZV9LUGWzcNe+37ngjpt59tlnW7QurZW21Og31M7LysqYN28ejz32GJd2GMN3x1by8MMP88wzz9SmmTx5MgUrDzO900QMLt4KHQWO1mNTH65EjiPORI8zgQOnihyAL/Zl8NDqjWw5eEgfRu6CtmTr9QkcR8pLdpOf+TnC4EdgcDKlRRvoPPB5jEZl7prKskPkHniXxG63EhCcRGHJnjqeGleCxTIyhWGTosgoMJC/uhC/NZmNOidPRI4ncTnWmnJy1jxPaKfhRHVrPXOetSbB46nAabev/GPGjOG3337jvEsvx2/QBI4cOVIrbgD69OnD/PnzuennoxwsrDttg2nq2Hrz9yRNcxBo8OOuTr35dN6r7N+/v6Wro9PMhIaG8uijj/LRRx8ROi6JTz75hKeffrpOmg8//JCulw3gq9xldbZvKjKwqch9E7ChMLJO/I0z7PPgwElhItZsrvOpev5nDJ9/j+Hz7xFHsk8RNo7Bxtq4HjtXdEujW2QYH14xEbPZ7LZOOu2PkIheJPd+kICgJAx+IXQe8GytuAEICu1MbPIUjh58j/zCTbXb7V4ay8gUZHJEk7uUnFFfntaUCI/EDYDRFEJM7ysoP/IH5ooCr9WxqbTFtbfarcABCAwM5OOPP+a1114jMfHUId8TJkzg5ptv5r6vt57ivXEmYOxpCqK9EwTWGPpN9Tulrp0CQkgODGFYrz588cUXLVQznZbkmmuu4eOPP2bq1KmnuLVDQ0N54YUXWHd8G1mVxwBqhc3gaNspeTkLKG4IlavzTvlot9vFjF3kOPP2uOKS9BT+b9d+LuqSSlmZ29UAdNohRmMQCekziEu+HKNf3Xa4sGQPNcYQ/IJTqCxYW7vdmhJBQqKRuFExWFMiTgkotqZH0iuihrTYU++FlsIUloTBFEr2itlUHNvW0tWpQ1taaPS0j0y99tprefrpp5FSetTf6S3PTX0Byq66y5wR6WdiXtfh7Kko4bZp15Gbm8vtt99ud1dTXFzMsWPHMJlMdO7cWR+NchoSGxvLpGsv5+Av2SQHue7ecSZutIHFdm+NNiZHu91VALIjYs3mWmHjbOV0V9w+oCd/69edu1b8zpguqfywdScJCQkA1NTUcOzYMYqKiujevTtBQUH15KbTXtDG2JjCelCWs9BlWm13lV38gHc8go4By/WlceXV8QuOIfGsWVQV7iN3/StE97mKsOSRtW26zVyOtfoEwmjCPzjWK3VvDG672lpBl9ZpL3CioqKoqakht7SajuGu576BuuKmsXPeOBMu2gBiT4WNs6DjHsERvN1jJA88+Ah/v/te0gJDsSHZW3GCpIBgKm1WBDD+ysu58MILmThxYp0FP3XaN8nJyfxWrUz+Nzjadkr3lKeeG3s6Z3E62u4qO46ix+7RCWKz0+1anAknP4OB188dwbN/bCc9uRMdg4PoGhnOsuyjxAUFEhkZRGZBKYM7xzP2qpuYNGkSAwYM0IV9K8PVyKamYvALwWYpRdqU9lF5CNe1S3uXUtyomFrPzbptElMjvBL2kVh2PBU5oAyTti8B4eyYwJhuJI56mNzfX6Fw28f4hyciLVXUlOXiHxyLzVyBMJgIiu1JcEJ/guP711nwsyXRnk9LiZ12G2TsKV9//TVP3XUjq+86B4NBaQDtQsYeSGzfZu+aii0q96rAaQqu6nDCUsOhqjIyq8oZHdmBCD8TUkqyqyvYUFrAryXH2FRaSP/QKN5cvZR+/fp5tV6tibYUeOnL+zEhIIZrki6md5gyfcKmIgODo211BIqjZwZOnfyvvpgcO9p8HD1AjqLHmTByVQctFpuNgyWl7C4qISrQxOikBIJGxVNWVcPyr3axLOso3+XkQJWVWx55lFmzZrXr0YZtydajut5+yvbGiBxHoVR9Yhc1pfsIS7qsdsRUzTmpJCQayV9diDGzRImJSY9kRH9Br4gaFh0IbHSAsWP8jbtYG3u5AAmJRnJzrEpah6UgnGGtLqWm9AjmigJCOw5RFvCUEnPZUSoLdlN+dDNVRfsIiu1FTN+rMYUmNPhcWgv1CSJPg4xPew9Onz59yCurxpOXO7uwqaFxo6ecdUs1VfA48+QAhPuZGBAazYDQ6NptQgiSA5V4nclxqZRbLfxUlM3owUN58+MPufLKhk8XrtN2OHPCaEo3ul8HsT5x01gch5S78/TYA4wrV+edcpx2v53uqw10jzrZIFauzsMInJeSyHkpibw08kLWfbOHB/79Ir/++isffvih7rlspTgO525IejtGUzTS6ny2d7u4sIsbgP/71R/jwUKPY0ocZ0O2Yx92bhdQrjAeLD5F5Ng9Oe4wBoQRFNATrX9GCIEpLBFTWCIRncdhrSmnNPNXjqx6ivjBMwlJGODRObU2vBXfc9oLnG7dulHtH0pWcSUpUc5XdbV7b2KLylt8WLg3CTH6cXlcGn1Dorj3uhls27aNp55q2pThOq2XUaNGcTDxIKirHzgLMNbizGviqffGGZ4IJO0w88CR0A8lRsdZ95XjMXYc01atyWdgXDQ/XHYef1+zkTPOOIOffvqJ9PT0hp+ETrPhTuw4EzZ2jAFxWM0lSKvzOQit6ZEkJBrpFVHFogOBmFYcbNCcN85wdrw7T47xYDG5nHovedK95Q6jKYTIrhcSEJXOsT9ep6bLBUR1m9Do/No6p73AKSgooKa0mLjQALfp7N6bpuJqmYeGHutNegRHML/X2Vz9/It07dqVadOmYTKZfFKWTsuxZ88eihdmQFxc7TZXsTbe8tw0hH27YuhG3kmRY583Z+Sp8TruCBoV71QQmYxGXhp9Bo+v28Kdd97J3Llz6dmzp5McdFob7gSNIzZLGcLgD+rElicDietS2y3lZXHjLL7GGc48NlpxY/cINYagmO50GjObrGWP4B8cS0jHIQjDqdegvdN+O6M9JC8vD4OAb7fnAM7jb+zfPREY9mHczoZztzZxo61DpF8AD6b045nb7ub555/3elk6Lc+Wz9eyueRPzDb3tqSNl9GKG0fvjX0eHW/MpeNtnM2jY+eugb2IPbSH0YMHUV7uvstOp+0hrZUgbZgrDtcOA0+LtdXGuwC13xvjLfGk68zdGkvaYdaOHzt20dQUz5JfUBSx/a6haPdXnMho+st5W+S0FzgpKSnEJKViMjbtUjgTNN6iseLGk/po04yN6sgz6UN49dVXsVjaT1ecjsK02TdhlTaM9axx48xj0xiB0lRh4zghoHZOHU9wJXKiAgP479gzObNjHB9//HGj66fTNLw1asoRg38EGPyJCO3s0nuTUWDAeLC40QLCXvfCkj2neJeMmSXKcg8eeGi0H18QljKS+MEzKd7/M21hQJG3Oe0Fzv3338/IaDNTBiQ5neNGuyyDMxorbJorlsdd3ZzVIS0wlJSUFH799VdfVkunmdm1axePznqEm1Mur12uwd1QcHeeGzuDo221H1cMjSmu/TjDWd7ayQCh/hgcd7jz5FzZLY0vv/yyUfnqeIeYiB51Pk1FSklF3kpMoV0JDlfyczaBn300VVNxrLddrDiNu3HiodHiOAGht2ZdDohSYs1qShq3BEVb5rQVOMuWLeOOO+7g5y8+5oVLTx0ibZo61iNx0xS2f2rxitCprx6uusxcHTdlyhS++uqrJtdLp+UpKSnhmWee4bzBY5icMJa4gCjA8xmKm+KBacwsyFph5WwJB3A+X05jGJ+SyG+//cbx48e9kp9O02mK0DGXZ1CRvxxrTRFJna+r7Z6yY/fkNGYxzYbiSuR4cpzX6yIEIYlDKT+60et5t3ZOS4GTmZnJlVdeScKh5Xw/8yzCA/1rvTfaZRgcxY27+BpXeKPbytOupoZ0SblL2/2TX/j666+x2VrP1OU6jeP+++/nf8/NZ2L8aEZHD3aaprnjY+orf9+uGKdLPWjxRldVqMmfMbERLFzoetZbnZahoULHWlNEed4yjP5RhCZejEiNre2e6hVRQ0aB8qhrDnHjjPq8Nw3Bvq6Vdn2r+ghNHEpZzoYmldsWOS0FztatW+kTKXhgbA96xIfV2RdbpAQdemPElCd4Yx4cx+9asePMS+TqGDtpgWGYCkt46aWXKCoqalL9dFoOi8XCTx9/z8QOoxke1a/OTL72+BhnE/tp0zQFxxgcd/k5Ezn14Q1PzqXpKbz6wH2sX7++yXnpeB9Pu68sVXn4BXYkMGoQ8bFnANQGF+8uMZGbY63tlmoOcWPvWtIGD/sq1sYTwRMQlY7NXE7JoeXYzM7nCGqPnHYC5/jx40yZdBm9OoS5TONtceNKxDRF3PgiqFmb3yOpA/jyyTnMnDnTq2XoNB933303ZZYKgo3OlyAB191I3vTqaIWOVlg5luG4TTuKy1dD1ad0TWFcckfOP3sUe/fu9UkZOt7Blcixmk9QkbcUoynq5DbVe5NRYGDdNtmsnhtncTOeluuNmBtnIkcIA/FDbqYs+zcKdnzS5DLaCj4VOEKIC4QQ+4QQ5UKIz4UQYUIIgxDiEyFEoRDifl+W70hOTg6zZs0iJsTEI+N7ASdjbUARNlpx4434GFdxNr4aceWsHE/L0tZzQGg0MxK6cmjxCh/VrP3Q2uzcarXy6aef8unbH3Fe7HASAk4VBw0N/G1OnAkd+9/GCh1X3VTZezvw6PABdIsMp7DQs4VCT2da2tYdRY7VfILKwnUIv1ACowYTE9EDy8gU4kYpdpKbY8W04nCLiZuGem18WcfguD5EdDkfa3WZz8pobfhM4AghooBPgQeAToAAngTGA7uBZOBcIUSor+qg5ZprrqFP1zQiDqxi+0PjiQ8LOGXxTDt2UeKNIGJnNCRfT7qYvIFjGRZp44PcA4z+63VeL6s90drs/Oeff6Zz5848e8t9zEyZwkXxo2r3aVcHd0VLi5uG0tRYnG69C/n58BEyMZKamurNqrU7WpOtS2mjLOcHSrM+x+gfQUTKNGKj+lF9XX+GTYqqnefGtOKwT4dhu6IpZdZ3nCfBy868ODZrDSUHfiYgMqVR9WqL+NKNcCmwSUr5DYAQ4jngB+AnwKiWLYBmGZy/dOlSVtwxmp4dwutsty/BAN5bH0qbV2PSu1pfqrF5eZJOi5SSJzK2YBSCF198sdH1OE1oVXa+a9cuBphDeWrI+U5XB2+tXhtnuIsP0lK5Os/tcHAtjrMcr8/N5+ala/lu6XISExMbXdfThFZk6wJzZRYRqdcRF6MEz1tGptSuL7Vum8QubpqT5i7PU6TNyrE/XscvKJaoHpe1dHWaDV92UfWHOvOr7wA6AGuBXsAhYLGU0udTia5cuRJT9QlSNSOktOtLNXZl8MZi98poP477m6MOriizWlhTkkeXoDDmdB/OsmXL2Llzpx5w7JxWY+c2m43X//kSQyOT6myvz2PTGsWNHWd1a0g3VX0enp8tx0lJiGDLI/excOFC1q9fz+HDhzGbzQ2u62lAq7D1mIgeBFKDf0AssdHKYpIyOYK4UTH0iqgBnC+D0N5xNiOyHWt1CZX5uzGFJVB+5A8q83dTU5qDtaZ9z+QtfDW7oRDibeCwlPIpzTYzkCqlzPHg+JuBm9WvQ26++WZ3yd3y559/Eh8giQo+ub6SNV5pOP0sVmRRKZVFkqBoD5YUd0NlkXItg6JF7f9NxVle7urprFxn6eurX5XNSrGlBouUWKUNi5SYkfTq1QuTyYTBYKgzKqc189ZbbyGl9EllW5OdFxcXc+TQYTqHRCOAcosy70eIn9Vpevv+1o6r+gcE1hXphlD/Ot9tZWan+7TbAY5VVFJltWKxSSx+/tRUVRIeGUXnzp2xWCz4+bWdJfvakq2fdfakRtelpvIofqYoDGoAvQw1ERLpR6DRRkm1AUuZBVFW0+j8WwUm9/endNgvapzfJ3ZslmqsNWUgrUibFaQNaTNjCu8EwgCINtOmr136pUd27kuB8wJQI6V8RP1uAqqBYCllg8apCSFkY+t58OBBhvTtSdbsCfiryzHYvTcA4a9/36h8oflmI9ZSX/dZQwKaG1r/mXvWMDQslq9rCjGbzZx77rlcdNFFXHLJJa3avS+E8GWj3yrs3GazMW3aNDpvOsbVnZS3Wrv3oy11S7nCnRdKuzCotquqMcPIg0bF88Omg7zw/R+EVsGSnHx69OjBRRddxMUXX8yoUaMwGFrv4NO2ZOtdJs1vVJdOdUUWR/e/TWq/x2sfyNXX9eeGs83sLjG1WPdUc6ANYnaMs2nMxIKZS/9BWKfhFO/7CQQExfUhuEN/QhIGYgw4Gc5R33w73pgVuiEc+OZ6j+zcl68mf6L02drpBexr6I3QFI4ePUr//v15+NzuteJGS2xROZ5q/JYQM85wF1/jqo7OjmnM+QQIA5/nHWJOl6GkB4axbmsmX//6JA/cfidnnTeW6dOnM2nSJIKDgxucdxumxe0c4LbbbuPXb5Yxc4hn/ettSdyA+3icfbtiakVOU+fGqVydhyG7jFV/HuHanukcveFythYUsXjZIm5/9y1KgsO49tprmT59+um4ErnXbV37wPZEkNRU5ZG952Viky6rFTcyWRkSPjimgt0lpnbdPaVdYdwuKjyd7M8ZBqOJkoNL6TjyQfyCoqg4tp2KY1sp3P4pgbHdCRl0PsGdh1GfkvCVAGrKuYFvPTgxwD7gMpS+2o+AP6SUsxuRV6PebKurq4mMjCT3X+cT6H/SnecYf1MfrUXcOKOpAckN4fcT+XQwBZEWWHeQRJXNwsriY/xQmMWO8mL+du/dzJkzp9W4O338Vtvidg7w4IMPsu+DDczu3b92my8n8Wsp6gs61npzGsuJmhp+OJTN1d07n2LD2wuOs6A8l09W/0ly9z68++679O3bt8lleou2ZOtdJs0/dXs9IsdqKSdj+2zSBz6PUNdUk8kRRE9L55EzSnl6fVizTujXknhjzpzy3C2YwpLwD4mrs91mrqTs6EZK89ZRU5BB+ICJRJxxZatp0zNemeSRnfvM1yqlLASuBz4AsoA84FlfleeMgIAA0tLS2H2sFGicUGnN4gaat37Dw+NOETcAgQY/LohO4pVuI/i8zzks+s87PPXUU05yaH+0BjsH6N27N9lVx5q7WLe4m2unsdQnzLwxIWC4ycTUHum1jbl2/p1+sVE8kdqLw6/N5IZ+4VxyySXk5XlnbazWTnPYen0LTBr9QjAYTFhqlPXDtCt5byr0d3VYu8Qbw99DEgaeIm4ADP5BhKeMImnoLBKvnkv5vjWUbvuxSWW1BD7tTJZSfi+l7CylDJVS3iClrPZleY7s27ePPXv2UG2xcsnba8gd3LC3u9YubhrK0A3f+byMWP9Anug8iKf/NZvs7Gw++OADXn31VXbv3o2vvIUtTUvbOcDChQsxYGDRsT3ct31hi19rbwsbLfWN/PL2rMfdehee4hnyMxr423n9GRzvxwcffMCqVauYM2cOP/74I+Xl7XdkSnPZuiuhU1WeidVSjs1aSfaeVwgxmpwcfXrh63l+AooDiO83g5LfF2A5kUfpzl84sW0R5uKcFm9n6sNnXVTepLGueykl//73v3n4wVlEB5vo2zGc72eO5MTtl7SL7qnWytqSPO7e/zsRRn+GhsUSavTn99J8jHHRnH/++YwfP57+/ftjNpuprq6murqanj17Eh/v2VwmDcWXbntv0pQuqr1793L11Vezd9tOJJIH0m8kOSih2buo6hM23izX08Bju+DxRveVlqBR8Qz6+4fszC5kYGocw7t2ZMeJKjZuOcDQESM5//zzOffccwkJCam188DAQAYPHuwzV39bsnVnXVQu06sPcCltHM9dTFHOTxj9QwkK7UrsdY8xbJKyTEN7DjDWYhd/tdfFC91V7ijN/o28DW9iMIUSHN8HGRZEVeZWhNGPwOQBBKUMwj+6E9JqAZsFaTXjH5OCMdD1kkhNwdMuqnYtcOzs2rWLy8acwYPjenDTSzd4HH+ji5vGUWm1kFVdTpegcIz2QEApyawu5/cT+fx+Ip/DVWWYDEb8hQE/IThcVcb9/3qU+++/3+tBym2p0W+KnVdXV/PEE0/w4Uvv8o+uN+Fv8GtWgeOp18ZbZXvLS9QU4bO7qJgOwUEknZcMgBw5iPKlv7NyVzaLtx/m193ZmK02AvyNmKLCySs4QUpSDHNf+4jBg52v7t4U2pKtN0TgQN34nKqKLHL3v0Ps4On4T53MDWebWXQgUI+/8RE2cyXmykJMYYkIYcCaEoGUEnNRFpWZW6jK3ILlRB4Y/RBGf4QwYC4+SsTQKYT3vxjh593uQ13gqJSXlzN9+nQMB37nw2uHETBtXO0+dwKnvYub5gxO9oTs6nJeP7KbP0OMPP3001x77bVeG47blhr9ptyPP/zwAzNmzOCu6CtJDFT61VtC4NQ3PN0X5XuzS6wxgkc7PF2OHFRnn1izuXabxWLl3c9W8sS8rzj/ost4+umn6dSpU9MqrC2rDdl6QwUOKCLHaqkg99D7+JtiiJ72AHGjYkiLtZFRYDhtBA40v8jR4snoppqiLI6vno+5KIuokdcT3PVMr3kudYGDMgfOZaMGMSgpklcuH0iQv7HOwppaWtPD3pc4mxOnNZ371rIi/htaRWpqKh999BFBQUFNzrMtNfqN7Yq9Pf0svjy6gzl9LsJi6d2sXUXuaK56+Crmx1Ox407gOONEaSXP/+d73lvwOwsWLGD06NGNrqOWtmTrjRE45r1/cvTAOwSH9yLmzOuxpcXU6Z5qzlXDW5rWKHCs6cr9bDxYXPt/zcqVFK18l4AOXYkZexvC2PTZaVp8FFVrYMaMGVw5sBNvXTW4jrhxpDU94H2Jqwn/7CuON9cK5+4YEBrNK7YOlC1fx4i4JAoKClq6Sq2eRYsWsShvDx8PuZqBEa1rwsX6BIwvhIk3xZt9BJXjxxHt/DtizeZT9gPIpE7IJMVbEx4WxNMPXckHL83giikT+eyzz7xW5/aKlJLc7A+J6DmB2JF/RRj8ah+iGQXKo6y5J5w7XXG6HER6pNP/TWPGEP/Qm1grT3DsuyexVVdgTY+sk8ZXtFuBs3HjRg4fPsx953RrNWP3WxJPxUtrEDomg5EnOw9mYGgMQzql8eeff7ZofVo78+bNY2bqGZw1qMpjj4MvRzk1ZxnacjxZV8tb4qehIscubBz/Hz+6H4s/+TsP3Hc7zz//PBbL6fGyBYoXQPupj8qCXQCEp51be7wW+wR/uvem9WEICCLmzucwJqdy9PtHsRQeBagVOr4SOy3/yu4jzGYzBoMBW+vvgfM5jREsnsboaPP2pifMIAR3dupFUkAQI/r2Z/DoUYwfP57w8HB69uzJuHHj6s/kNKGmpgZoeFfe0Jhin4+m0oocV7E5jrE7jSnH8Vh3eXkSI+QJzkZnOVvZXCtonG3rl9SJNd+Ect1d/+Hll1/mqquuIjU1lfDwcCZPnkxUVFST6tlW0AoWZx4CabNwcrFy5y+t1pQIjJweIscX1PcbOEvnKcLoR9Rf7qV0+f84NvdmTCm9COg6EBEYjCkxnYD0k5OUems26nbrwRkxYgRdu3blww2Ha7e5CipuaY+FjmumxKXxY//xnH/4BLtffpcVj7/I9AmX8NJLL7V01VoNjz32GG9l/I7FZmvwsb7wsjiKGkfPijNPS1PETUvjat4duxdHHMmuN4+kof1ZtvYNlnx8D9F+WRza/hPf/u91zjrrLIqKirxa37aAM69OcHx/hMFIec5G4OQD2N49VesNSHE/WaCOazzp4mvK8glCCMLHXk3H2QsIHjoeW3kJ5qOHKJz/BGXrfjhZhsaz4+zjcXntOcj47bff5qPn/8HiW8+u3eYsDscufNpjLE5TxZunXpzmvHYZVWX8bc9aCmoqPep+bEuBl42xc7PZTEJIBF9fNoaIwh5Ol2hoDQtventUlTPvkHZ7c8f/OFv00x5w7MyL4w5xJBuxZjNT5n7LpDse5frrr/fsuDZk62l3feNxevuD9/i+H6guOkDC8LsA5WEbN+pUgZmbY6W9zofja/HmzovjTtzYhUdCopHcHPcrmztSnbGTok+ep+M/PvAofdY95+hBxnPmzGFgUkS9sy3aRU978+Q05/kK41nfAAAgAElEQVRoA5V9XW5aYChBBiM7d+70aTlthfnz51Njg+qcpNptjh4TXyyb0FCcCQ6tN8fTOjqmc3W8q/+dle1rPPHiOOPCgZ1ZsmSJl2vT9rCmRGBJDqN434+YIlJdtulpsTbSYm0kJBrbnSenvmUsfEFD46QSEo31pnGW3pTSE1tZMZZi7y570q4Fzv/93/+xuiyC8/7zK7knqoCT3pqC6JDaj5b2InJa+jx8Xf4Z4bF6w69y5ZVXcut9dzDl9094eV9G7Xb7A7wxosHXaOvW2LK9IVB8fc6uRlR5ynl9U1iyZEmrnxK/ORDCQNyEWZQdWcfR3+ZirSkDFG9NWqyNi7pU0Suihl4RNQB6d1Uz0pggYbu4SUg0IgxGAroPpnrvJq/Wq10LnFGjRvHHH38w/vo7Gf3+TrbleOaubGlx0FS8Vf/GLk5q/3gbrXdoeHgcixcv9noZbZHw8HDmzJnDuq1/sCpgB18cXYKtlT4Q3YkSTwWLYzp3Akm7z5cizpPRa+JItseeHLswSu8QSXBwMDt27GhS/VojjYmtCEoZSOL1r2IKT+LIyicwHz8CnIzDGRxjdnpcWxc5zVX/psTXALVdU/V5cpztD+wxlKo9G5pUviPtWuAAGAwG/vWvfzFnzhwueXsNVeaG9Q3q1E9TRY0n3Vra/f2m+jE0LJZVq1Zhteq/p50+ffqwbt06CtNqWFW0kU1Fbef2bognpjV0t3mKJ5P+OeIogsaNG8eyZfWvm9ce8ETwCIORqAm3ED58Cse+fQLDftfiUp8Xp2F483olJBpdfpwR2G0wVfua5vF0pO20gE3kqquuYuBZ57BgSzY1ny4jtqhhK/62da9Oa6Y+ceTs2pdYaoiOjsZobFifb3snNjaWOXPmsPDY762iW0PbBeUNUdKUPLwZc2NfYdzZSuOOw8S1NDTYGKCgoIC4uLgGH9cecCd0wvpegCEonMqMjeTmWNldoqwsPjjGTFqsMqLQ09gRncbjrTlsrOUlGEO9GxN32ggcgIceeojZq4+RM2pAne0F0SEuZzm20x5HWLmjtZyvK2GZ17vYa9PbtzfGjBlDz6Fd2VC6skXK14oZZ8PEvVmOvYyGpHf13RFX3U7uuqOcLdlgn8HYE3Hj6L2RUrJq1SrOPvtsF0ecHrjy6kQMvZyiVe9iPVH3N+kVUaMEGjfDbLmnC00dsq3FHgxuJyHRSPWBrQR06e/mqP9v78zDq6jOP/45NxtZSIAkEPZdwAUEqVDBDVxbrYpWRKxKcf0pLlWs2rrWXaxWxLrbal1bFVSkdUFAUHABUYQgYYeQhCQkIft2fn/MnTC5ucvMvTN343ye5z7JvTNz5p2578x873ve8x7rHFQC58QTT+Smm25i6m//RsPrn5FTXsPLG5MjbVbM49nFFI7RVMu3lCqB4wMhBO+99x7FXTbzQeF2SzVnnOz68Zc3E0yUx3OkmBm8FSA0i7dojS+CHR4OB/Jv6paXsOaDTWRmZtK3b1/L7cQrxgdr+uDxpA8/nvLXH2ZbqYvVZdqs1XoUx+qonoOdQHNMBcLq+TaKnIbNP5AyeJSfta1jm8ARQnwhhBhveH+qEGKTEKJGCPG2EKKz+3OXEOJ1IUSZEOImu/Zvluuvv5796T1YvGkvADOGNfLyxmRTURxPomFag2jCeD70bqdQz5G3SFJrq2T5lrKI/aqNBV/Py8vjnnvu4bv9y1hd7uogLiIlcryJGE9b/CUM+4sImY0UmTk+Xcj46obyRyjiRkef9mF5YUnc+rm/HA0zD0pd6HQ+/3KairayY9X6tm4qoN1oKoj9RONI4YS40ZPC9b97djbQuHUdKYOOsG6gH0IWOG6nfwaYaPisK/AGMBvog1ZX+y/uxScDG4C+wIlCiIxQbbCCy+Xitttu47GClHaVjT0jOf4eytEubEJN+rW6nef+7O7eMrb34xvN3PxEPr2Gj2L48OG27icQsebrF154IaJ7E8WNuy1vG0gEeObWeKtebAVf0RjP9r3t184cn2BIndi97RUKxu6p1Ind2XdoGg//vJNLL700RAst2hElfm5W7IjEJDqfOJWqT19ri+IMyWzpkIsD/kVOJOrM+EO3x59NTucXORW5gQPipqiwhcqFL5DcfwQJmd6rgge7LzsiOBPR5rSqNnz2G2C1lHK+lHIf8BBwgXuZABLc2+gTi4SVadOmsXnzZr7eXt4u2dgziuNNyHgTNtEudiK1P2M0x452f3yjmaUVRby9dytvv/12JCZRjSlfT05OZvbs2ayu+qLDMifmofInOswO5fZX9M+u6Iyd+BI1ZqM3+tBxz9yb/XWNnPfEB1xzzTWceOKJIdtpkajz80DRnfTxv6Zh84/U7T4wNc+QzBZGZDUyfqRo96D2FAyeIiKaRE4g7Bz1FKxYCqUbsKiwhZqv/0ftms/pdtHtPtu3EtkzErLAkVLeIaW8DDDGcEcCxvFe64AebmX/MTAC2Ap8LKW0NpzJBpKSkpg9ezaP7dCcfsYwLZTpq6tKf1BHs5Dxh5WITqSTi/1Fx5ZU7OGB7Wv5aMUX9OkTfPg/WGLR12fOnElNZhmfFpf67NZxGiuiI5JTSdiBlWHhvmriVNU2cNqD7zDyxDO57bbb7DLNNLHg554PPFdKKhnHncOWN/7FhspkCqq0z8dkNx1IOO7XXsT4i47EksgJFV8jzZxK0C4qbGl71Xz9PyoXPk/ulQ+TkN7RhlBzqJx6YmcCbVJaStkghGgGMqWU1cDUQA0IIa4ArnDIPn7/+99z3333sfan4Yw6rA+gdVG9vDGZ2bkdr08zdVoiLQ50O8C8ULHLZl/79dW+5/n0XM/zfC7eV8jDO37kk1VfMWbMGDtMtouQfN1pP09LS+P666/nH/e9yUk9prRbZiYXJxLCIlZq3PjCymgpPaFYThiNWLGGytoGTn/oXUafdDZPPfUULlfUjAOx/Z5uTDDV0bstrKA/BFsnnsOe+6azcX0Rq7O6MSSzhSGZWp2sDZXJFBke2GYiH7rICed8VtEirMIx+qx61SKqPnqR3P97jKQe/dstsys5PKA3CSFuF0I0e3m96GezCiDV0EYympjaZ9YwKeVzUsqxUsqxZrexQmpqKrfddht/fvhD4EAUB8wNG/dGJCI8vvYZ7nmojP+HkqPkrYvr032FPLxjHZ9+vdJRcRMJX3fazwFmzZpFVWYJHxeVBBQsvhJ+7c51CbZqcaxh7ILyV8VYrFhDRU09pzzwH8aeei7z5s1zTNxE8z1dHz5sfJml15Au5P36PHa/9WK7KI7eVWUcNm6lOybU3Byz20dK3ATbzRVMl5FO9VcfusXNX9uJm1Da9EbAK0hK+YCUMtHLa6afzfKBww3vRwCbpJR1oRpsJ1deeSU/ba7hi1UF5JTXMGNYIwvezQl6VBWELwHZ136M3VGB8oecjDjZkeT84xvN7Gqo4aHtP7D421WMHm29KqwV4tXXO3fuzO23387Kqk/9jqjyJSSciKgE02a4IjtWRkzpo53Ae/eUZzTHn9C59uXFjDnpbJ588klH88tizc+tiJ68M6ZS+cO3rP9uC6vLktp1VZ0+uL5N5OjzVFkhVAHirzssWiI34Gz0pqiwhcZdm6hc+CK51z5BUo9+bcucGNLvVPxzPnCsEOJYd/b9A8DrDu0raFJSUrj33nu59f7326q+njWltG15sCLHaaIpF8iKLcFEd+bu2sAt997NqFH21kewkZjw9SuvvBJXXhOFDds6LPPsigpXxCSQYIlE5MaKuPGFUcSYnXtqVcEelmytYs6cOZFInjdDVPm5L7GTkJpGr3N+x67Xn203ZNw4qsr4IA2HyBE7K9tedrQXrQSKthUVtiClpGLB38k67VKScg+If6fqFTkicKSUZcAlwCvATqAEeNCJfYXKhRdeSHVjBu/++bUOURyd5GmTgqqRE2nCkRNkNsfGShv6tmv2l1GQmcSNN94YvIEOEyu+rov54iH5SCktd1VFgljPxRG7dyFWrGl7dViu599IyU2vLuW+++4jIyOslQRME81+7il0ck/+DXW7trN37dq2wn+giZzpg2raRI5nJMeM2LEjH8fM8O9IkrDF2nWnn39j/pQxkVh/AdT/9BUt+8tJ/+Wv27WhL7cb2wSOlHKAlHKl4f0HUsqBUsoMKeUMKWWDXfuyk4SEBB5++GFu/XAddXWN5JTXcNaU0nZdVTq+RI63UUrRkHAcaUIRecX767l/7/c8/vjjpKamBt4gjMSqr1944YXU1tby1u6fgI71ZjxxcpoFK4Srxo2v6E2w9W2Mosaz+8q47C/vrqS1Wz8uvvjioPbjFLHm5/qD1pWUTJ9pl/P9vLn8VO5q66aCA/k4usjRhU7jCf07dFsZIy++IjDBEM6k5WiiubyIff/+K12nzEIkhCcAEPkwQxRw+umnc9SkX3PX5c/wyL+u0xKOPbqq9Ho5niLHWCwQIiNszIzgioaIki887f/mtQZuKlvJpdfNZsqUKX62VFghISGB5557jt/85jf03TuYCbmpfFvWxef0BZ7dVr6WO135ONqpW15iWgR5RnJeX7GBl78pZOXKlQfdxLF6pWF/GLuZzDIgp5X+Z03i4yWL+Pnfb7P6yvMA2kZUjclucq+pt53Qtt22XtnsXe78LOS6yImGKI7Zbrq8XgleIy3bSl0Bu6da66rZ+9ytdJ50AZ0OOcrrOkWFLbZ3VUXvUy/MPPnkk4wc0p9zH32XcbOnAMkseDcHppQyY1hju0iOkZxpkzgCTeSES9z4SiCO5qiRmWH2AB+8XMGlG77gtxdfxF133RUO0w4qjj76aKZPn84Hf1/EhFz/4tFsbk44hE4047PYn3voty+m3/0en5Tt5/PPPycvL88p82KaQCLIlwASQjDx1pv49Kor+XricYw5rmvbMl3oHNiH9ndMdhOrs5JYhFvk6G3FccQlkLgJVnDo2xUVttC4I5+SudeTfsyZZBx3blDtBYvQk2ujGSGEDIedzz77LG/OuYP/XjWRqmvObJeHYxxGDgemdtA/zymv6RDNAWdFj69RVGbW87VusPv1hb4Ps9vc9sGPJI8/l4ceeigo27whhEBKGZWZm0bC5ec1NTUccsgh/LL515ye16tNmBi7aDat71gyPVLzVznF0EPL2o4zlORiXeB4G0XlTeDULS+hqKaOo+Z/xs6dO23Nu4klX7/zu09sbdOb2Ml//TXKf97IzMf/zJjspnbixth1ZWR1WRIbKpPZVuqiqLCFhC0V7SI6dgseYxRHFxxOR5A899f23mMElVGoeBJI/OjblL/5CIk5fcg86cKA9pgVVN+cf6wpP1cRHAN1dXV0TdWS0rSE4wNCxtes4wc+T2bGNWd2EDp2TldgJ8HYE45urv/lF/PPOec5vp+DmbS0NMrKyhgzoBPgvfvJ6wN/fXQkH9uBcTJNpxAr1rSJHuMM4akTu7P4xZVMnjw5apOKYxFjtEcXOy2NDSR7nOOeaa3sqXV1iOToaJ/XU1CVwOqyJBb1yqaosEtb8q2dkR3PLqqEHZVeKwv7EjyhCKJA4kYn1ATg+g1f033W9JDaCJaoKZMZDUyZMoWlm/dSWqPlzumjqgKx4N2cdknJVdecGZbh5WarBnurSROtOTkJLkFSUlLgFRVBI4TgggsuYP6eH1ldrt0Cvi3r4jVqY2TooWVRMbml0Z5gZvsOBTOTauqjpnxN21C3vITU4VnKzx1kRFYjI7Ia6XP8iZSsXEFjbV1bXZw9tS56pgUuIDgks4XzB9bzp6P3M+PYJnInZrdLRHaqLo4n/sSLvizUSTftqH3jUwgJF5hMKrZ7NJUSOAb69evH+RfP5LpVu6mtO9D15ClydEGjY6yd8/LGZK+FAqNRUFitYRMO0pITqK2tDcu+Dmb+/Oc/82P11+xp2N4mcszgKSg8J8m0G1/ixddnZoSOHWLIn8jxjNp4bpc6sTuJm2uVn4eB8Uf2ZsDYI1n0yFO0NDW1fa6LHM+XjvEzXeicPri+beLOYAWFmSHiRkFjJTJjxSYr65rtNvK1nkhOQTbWm96fnSiB48Fjjz1Gpy6HcezZj7N1hyZcfEVydKGz4N2cdiIHvE/c6YRIsDKRZrCEYrfVwn6pSYnqxh8GhgwZwnsL3+G/ZW/xY/UqvisTHaI4m9Zne43q6A93T6Hg5JByo3hxIlrj61g9qVte0vYyg68aOF2OzFZ+HibO+NMN1FXt55UrZ7M0v7It92ZPbcfHn6fQMa5z/sD6DlM+WKlnYyXik7Cj0pS46dDNZEK4mO2aAtrVsLGCcRuRlIJsjExFASVwPEhLS+Nf//oXF8+8iaN/NYeH531CY2NzO5Fz1pTSDoLGLNEWyTE7uilcpCa5qKuLmlkO4prTTjuNH39eS37NGhbs/UfbjOOeD/tAD35vw8dDFTpWIjehYuVYvWFW7Bhx5VcrPw8TKRnpTJ1zN4N/OZZnpl7JM/MWsrFcW+ZN5PjjwBDz9rNwBxIvTgwHDyaKZEXcBIunIBLJnZBNSuBEDUIIbrjhBlZ9s5Zla5oYfcrDLPlyEznlNczO3ceMYY3MGNbYTugYu6xuGaUlVPma0yqaRE60JT83NLcedPVAIsngwYMprN3BrXP+wCfNbzJv62es2JvWocif8cHvre6LXfk44cinMQo4b4LGbDRH727Sz4W/IeGeNLS0KD8PgjHZTT5f/hAuF8ddfhGXvvBXNiz+gmt+fSMfLd0EaCJHf3niLVcn1DmtzOKtuKDxvR7lMRvt8SQcM4YDyOZGcGji2EBEz5M2Chk8eDALFy7kvffe45JZl3H8+CHcd+sZ6NODzc6t0erjuCsf6zyy9rW2/1/emMyMYVq9HOhYGDAQdta38TZTd6B9h5ufiqo44ogjwr7fg5nExERmzZrFeeedx80338wf33qaY7JOZXDqCIRwAe4b4fqOERTjUGtvdXPMCp9wJQkbCSZaEwizIuensgqOOHK87fuPJQKJErvaM07XkDuoPxc/O4cfF33GvZfdx6enjGPajdPp2r1bu20883F08WMcebUIbRRikfv6SMDcyCozI5+M7XgTOf4iQi39sry2bRRioYobs3k5srWF5uIdJOUNDGl/waIETgCEEEyZMoVTTjmFBx54gDGnPMzUs47i9lmn0Ltnl7bh5LrI8dZ11SZyymvaojlHsNiUcHE6whJN0aQlr9RQV9tK7969I23KQUnPnj157bXXWDxzMbfccgvL13zGcV1PRpYNd08A2aVN5OjdMqkTuzNyoqGbZr32xzhDeSCRY7e4MYouJwh26gYj68r2cezIkTZYowiELnx0oSOEYOSvTuKQY8ez9LlXufqkqznyN6cy4ZLzYeiBIeWeIscXG3KSD1RAJrDIMY588iZEzIgkMyLHrw1bKoISOZ7CRu+O8iV4mvfuxtW5G65OaZb3ZQeqi8okGRkZPPDAA+T/vI2M7uMZdcrjXH/nf9hTXNmWn3OWRyTHiN5dpb+Sp02KmLiIJlFjpKCuiiGpmdE6m/JBw6RJk/jmm294472XKOqbzz+L5rGtbmO7RGRPAeGZeGwcSm7s7gpXHZ1QRVMw2/tKPpYTRre9dNaVVTBSCZyw4hnh6dQ5g1Nvupqr3nqOlqYmnj5vJo/c9Q+qyivbhpP7Qh9ZNSa7iemDajh9cL02jLyf+aRjO4v5OdVN5om/hGNvCclNe7aQ3GuQ02b5RFUyDpLi4mIeeeQRXn7pGT57axZHHt6H0m7pvLwx2Wckx8iMYY0RqX4M0StwnlxWwI5+xzN37lxb242l6q7R5uetra0sWLCA6eddTv9OfZnU7RzGdNN+zY7NrmDooWUdIhrGh7wuhLxN7Olkt1SoERx/tnmL4BiP2XO5UdiIFWtoaW0l87JnKSkpsb3QXyz5+vxtH0Vs/8ZuK53KohJWvPwmP32ylJn/nMtJR+YyJLPFa/TGm/gpqErgtS3prPxBdqh+bAUrBQR1MeVL4OhRGl8zhNsRxQHfwqfyo5cAyPrV70PehxGzlYxVBCdIevTowWOPPcaM31/FPX/9iL1l+01FcozokZxwJyFHW2Kxzk9dx3DooYdG2gyFAZfLxTnnnMOW3evYVLue7XU/s7rc5bd2jjH5Vk8aNlUpOUYIZtQUHMjP+eHDzeTm5qoqxhHEW2JyVl53fnXbdQw7/pcsffYVVmyt9xnJ8VY7B2D6oBrGjxTkTszWZij3UpU4EGaHnhvX8ZpzY0K8+BI+VvAmbhK2VJCwpYKmTfkk5fUPeR/BogROiNx5550MGD6Jw054gCee/5zssmpT1Y919Ek8vQkdJ4kWkaPb8Y/nivj4448566yzImyRwht5eXl88NF8Ptu3kNeKXqSqeZ+p6sfGaIZn9WOjEDJTITicBDouYz0cM4JHFzdSSmYtWckVV1xhi52K0PAmdE667nKSUjvx9Lm/58UXP/U5Z5WOLnL0BOQRWY1tRQE9qx9bwUqNHWgvcloGdWkTGYFETLAix1eNHL292i1f01i6lbROhwTVth0ogRMiWVlZPPHEE3yx4hseePJjtu7QfpmarZOTU17jpHlRjx6t+qlHCTfccAO9evWKsEUKX5x++ulU1hWT4spk9f4v2qI4ng94bzknnmxan+1VGESTyLEDzxnFSypryW9o4bbbbougVQpPjEInrWsWZ/zpBqbPe4j/znma/RX7LdfL0RmQcyDCE648GbAmWpwaLl6z+Su6/OK3JHTqHNT2doickAWOEOISIcQ2IUS1EGKpEGKY+/NThRCbhBA1Qoi3hRCd3Z+7hBCvCyHKhBA3hbr/aGH48OEceVhvft5SYkq06JN06hGcaMLp6sje2l37QzVDhw51ZH92oXwdkpOTeW3h41Q0a0LeTNKwP9HiS+SYieg4OVLKV/tma+T4YsOn2+jVlIQrQnVBzHAw+7mxrk7eIYPpN6QPe7buDridr1FW20qD+571GjhW8nHCmWhsFB/GKJFRWDVXFpPYpWdYbPJFSFeZEGIoMA+4GsgF/gu8KYToCrwBzAb6AAL4i3uzk4ENQF/gRCFE3HREH3LEZH7eot2wzXRT+RM5TubhWJ0+wYn9e7K7oZZBgyKXbR8I5esHOOSQQ6hsOpBD4/nA91YLxphzo4+m0rcLNqfFF3YKH13QWBE2vo6nbnkJWyr30yc1fL/kraL8/ABjspvoNbA3zUU7Ta2vz1ulCyTj7OZOE3BYeJDFAK3gGTVqriwmKSvP6zKzhBrFCfVnxCTgcynlIillHTAHGAX8BlgtpZwvpdwHPARc4N5GoJULSHT/H13DRkJg6NChbNq6N9Jm+CWQsIlEbs7a3RWUpyYyePDgsO/bAsrX3fTp04cGWU9T64Hy654PdeOM2nLC6LaEY0/8iRx/wsdYiTgYEWIXqRO70+mPp/ocSWYUe1JK3i3YzvE3zgirjRZRfm6g14De7Nhc2PY+IylwjS5jMUBP/AmRYKI2gdo0Q6iJxm0VnQ1dXfWF65EtTSSkd/OzpfOEKnDmA7MM748CaoGRgPFn3Dqgh1vZfwyMALYCH0spvfbnCCGuEEJ8K4T4NkQbw0Zubi7l9eaL1AWK8oQ7yhIJcbOvtpELXvmap59+OtpHlTji67Ho5y6Xi7zePahv1eZS8tVN5S8HxxtWIjnROArLU1x5JiI/sWY9JbX13HjjjRGy0BTqnm4gMzuLin37295XN+32K3J8dVXZnecSaDZyq9M42DGaCrTjbK7Zx95Fj5FzyvUI14EE7UhEcUJ6gkopi/X/hRDnAs8At6Ip/u2G9RqEEM1AppSyGphqou3ngOfcbcfEL4KMjAxqarRrW8vDSY6sQRaIhLhpbZXMfOM7zpw+kwsuuCDwBhHEKV+PRT8HSE9Pp6miidXlrra6OJ7oERyd1IndYf2Bm5Ve5XjT+uw2wWJV5IQ7YuNJ3fISWP4/9zvftizbXcST32/gm/yNpKSkhMe4IFD39PZ0SutESW296fWNycgbKg/c/9tyVHyIDTNRGycm7LRKXq8Ev4LDtamUokVzyDjsJNIGHNVhebAVlIsKW0xPD9HOnkArCCFuF0I0e3m96F6eI4RYAPwNmCmlfAqoAFINbSSjial9li2MIdLT06murm57b2W4OFifpyrWuWtuAbt2NPDoo49G2hRA+boVMjIyaJIH/NsoNKxGbvTtIy1WrOA5Yac/22uampnx8QpeOHkC/fr187leuFB+bp5OaZ2ore4ocMx0VUH76IPTOTDh2keHfRqGo1d+9y4iMZku4wLqXcsEE8kJGMGRUj4APOBtmRAiHVgOfAkMdyt5gHy0PludEcAmd59u3JKent4WwbEDu6Mq/rq8ItEd9s3+Uv788rMkJ0dHpEv5unnS09Npbu0o4HVx4yly5ITR1D/8PzyjHJ5zVRmjOb4+87aOP/R9eOtKC3UWdDOibH1ZBXnpqZy54NOQ9mUXys819FwZf3VuUtI6UecjgpOR1JvqpsAjrOzo/vEVvfE1n1UwmImueI6e8qRu51q6/OJ89yS9we/H3/6tRHJCfapNB/ZIKT3rMM8HHhVCHIvWV/sA8HqI+4p6ampqSE1N7fC5makbnCBap2TQhVth98xYqlysfN1ATU0NuSKpXfdU3fISOk3Q/pe9+7RbX+zeZbpto4AxRkk81/GHUTg5JW7Msr68gsNP/VVY9mUDB4WfGxOB/Qmdhtp6UlJ9dynqkRxd6BhnHjfiRGTFqrgJNRnZ2D3lKW50O5r27iCpW9+Q9hMIK5GcUJOMRwLHe4Y6gQzgEuAVYCdQAjwY4r6inoKCAgb3avC6bMG7OW0vHX2YuFNES7ViT/Y21vPg9h+oqqqK+to3BpSvu5FSUlBQwLG5XYH2QsHbEPFA2DkBp3FCT8+/RpwSN8buqlYpmft5KY9sLWLixImO7M8B4trPh2S2+Bzl5O3zPdsK6TcwcC0Xzy6r1WVJQdfAMWFaMOkAACAASURBVINVsWJmfX9RFc/cG891m2pLKf7uOVyJnUhI72rJNicJNcn4WuBaH4u3Ax+E0n6sUVBQwJABue0+mzGsEQLMMj47d99Bk3+zq6KO321eyoz/u47nbr01arqnAqF8/QBlZWXUVzWQ0T+1w8SZdctLSGUN8vw+Xrc1K2bsysfxtT9vk3/ayab12dy/cTE/7S/mxflvMGlS+KZhCYWD3c+HZLa0i+TUFBYy8qhD2o2OCjSSSqeosMX0pJuyb5bl4eFmMSuGPLuOjF1BviI3AC0/bWD3svvIGnQSuSN/hxTRM9drdPZhxCgF6z5m/LlHW9pmxrBGKHfIoCjgy1fr+L66nL1NdfT6RQJfbCnl/EtmRk1iscI6BQUFZCb6r28hdu9q103l2WXliWcuTrgIdZ+6UBrTbR8NPTazpqSMwt1pSCQf1+xg0+ZN5ObmBmjl4ESf0dtzLiin8Fefxhc7txZyxm+Pd8CajgQjcgJ1U1mN9HiKnA4Vi3dU0tJYTX3pRpobqgCoLf6BzIGT6DZiStBiyimUwLGRzdtLGdy/Y6QmUBQn3vh6eznvuI5k6dKlFGwuYNy4cQwaNIoyIeiW6+KWW26JtImKENi8eTNZBoHjmfBrzMUxSyhCw18SsZMsL0nji/KV1I5NZvby5eTm5jJu3DhSh2p5eI+OnabEjQl0oQPhEztm2bm1iL5euqi8RXGMScfaEHHrI+H1ZOJAQidhR6VfMWFWaOiTchrf6xijNvW71lG55nPqyzbSVFtKp25DSUrToqyJqV3JGnSSqf2FGyVwbKK1tZXN20oZPCB6REy4k4y3l9cy5/Of+XBbPbNmncrTTz/NUUcdFTPdUApzFBQUtBM4OqkTu/usYyN27/LZ7eRL3PiL6niKmWDFjdnIkTHp+au9Gfyw/2cWylX88rhfMv2cc3j22Wfp2TOy8+7EA+GO6vijoa6efeVV9Ohlrbs00OzjZgil5o3l/BwvkZSELRVIKWmuLGLf569SX/ozmYMmk9tvIilZ/dsV8At2v+GI4iiBYxO7du2iS1YqnTM6dVjmK5l4xrBGcsprYjr/5ueS/fxtWQFL9iZQVVXF1KlTWf/RX+jSJby/phXhY+PGjXRJ7CjkdXGTOrF7h9+uYsWadmIikLDwlyBsN/o+/NmzYV1X/lP4I1/3LWTV1lWMGjWKl+59icmTJztu38GIE0KnoCrBVDeVnodTuLWQvgPySEhIANoXs/SVg7On1mVIMNb2ZedQbiPeoji+RIY/IeGZV9O4dysVK96lbu96pGyhc59j6Dv5flyJHZ9toeK0yIneKW0t0NrayoUXXkh2djaPPfYYoCVCXnHFFfTo0YP09HTGjBnDv//9b8dsyM/PZ/jgHm3v9Qk0dXFj7J4y21UVrcO8QatC/OSyAk58cQ0Dz7iM9957j+LiYubOnavETZyTn5/PuOxujM2u6NA9lTqxe1sNHOPQ8B+ea2knbvwR7q4m4369vT7Y3cxvv36Xb/olcOONN1JYWMiKFSuUuAkDq8uS2nVhhZPmwh0MHNqnw/QLvsSNt5o4+sPbyZm+W/pltb28LjchIBJ2VOLaVk7VJ69Q9M6dJHfuRc9jbqb/qU+QffjUgOImlOOza5oIb0TvE9QCn3zyCSNGjOCFF17g/PPP57LLLmPy5Mn06NGDJUuWMHjwYFauXMnUqVORUnL++efbbsPGjRs5xC1wjOJGFzN6HRyrNXE8RU40DP3eU1XP7/71NbLncFaufJchQ4ZE2iRFmGhtbWXjxo08edQ4v+IGtMRiK/VvIHLixhefl37DguIlPDJ3DldddRUiikaIHExEoutqW8EuBgxtnxwfaPRUQVVCuykajDgVyfGFKWHjThxuqtlL8TfzcCWl0feEe0hMM9ctZ5dwcyqSExcRHCklLS0tNDc3I6XkH//4B4WFhbzzzjuMGDGC5ORkjjvuOObOncuyZcscsSE/P5/hQ3oEXtGN3j1llSOmJUY0slPT0MyUF7/i2KlXsHTpUiVuwsiSJUs49NBDueaaa0hPT2fcuHG8//77HHHEEeTm5oZlZNru3bvJzMykc2L74mfG2bRl7z7tRk2ZrY0TSXHjrXtqRfn3fFz6Fd9v/IGrr75aiZswsu3btTx93kw+euhJHpxwJi9cPIuNS7/kisn/x4VHTuO9Z//Dj1/9wLUnXcmzd8xj6ohzmH3WDXz9yUquO/VqLh5zAe89+58O7ZrNjxmS2cLWTbsYaBA4/sRNddNurwX+PLFLEPiK2Hib2TtgW4017PnqMdJ7/4Kex8w2JW78RYyCxYlITlwInFNOOYUNGzYwcOBATjnlFFasWMFpp53WYXbq8847j6eeesoRGzb+8Gk7gWOM3gAdivyFii50vImdUERQ8jTf9TpaWiWXvv4to04+m/vvv9/dN60IJxs2bGDEiBEUF2tzIl577bUsWLCAZcuW8ac//YnKSmd/Iebn51NTmtBOjOjiRk4Y7XU4uDHxWM+9icSQcF94syW/ehtvFn7KsrVfMnjw4AhYpSjduoOcgf246ZO3AVj08FNM/eu9XPLCY7z66CvU7q9hV8FO+gzpxz++1YoqP3fX37n9+Tu5/+1HeG3OK9RUBT91zraC3Qwa2seUcPGF17oxAbqUAuFvO8/95fVK8Du1gWxpoujruaT1GEnXob/2K+JDtdsMdoucuOiicrlcvPXWW23vP/zwQ446quNMpk6ydWc5g/pFZrJAuyM6ydMmeU18fuGrrVR0G8J/nn1W/ZqNEF26dOGaa65BCMGoUaOYMGECgwYNAiAzM5Pi4mKyspy7AW3dupXeyZqgMU6p4EvcGD/zNvLJKC48c3S8CY9Qojz6UHJf4kpf3tzawrxt/+HDT95n+PDhQe9PERqdOmfwi/PPQghB3iGDSDryMLr20UaqpaSn8cP2/aRnZvCri89ACMGAQwcxIq0Tef20dVIz0qgo3Ud6Znq7ds0mG+/aXkyfAeaj8oDlfCFvYsFXN1YowsLbLOAJWyqoWvwmroRksg+/wPZ9RgNxEcHxJDs7m9LSjnkue/fu5Z133rF9f1JKikqq6NlDcwZvXU9nTSmNyHxUVvAXvQH4YkspV1xxhRr2HUG6d+/eJi5dLheZmZntlre2tnrbzDaKiopIT+jc4fNA3VBGYWKcTsEb/iI8wUZ+jPNSBWJ3fQmprvSYqT4cr6R369Lm68IlSElPa7dctrbSqWsX1pRr9yOXEKRmeK5jvRYNQGNDE7U19WR17ejrZghm5msdY6TEatTEVyViX9SV5pM5cFKHyTGdjtT4w84oTlwKnOOPP57//ve/NDS0nxfqpZde4vnnn7d9f9XV1QgBGelaXoKeZAwwZG37uiDRLnJ0vImdgtLqtmiBIjJEOnJWVFREWkJG4BUdxKkuLl10lTSW0zc1upKdD07M+Lq2jt0jrcr27iM7twsul6vDKCpPPEdP6XNQOTk6yBuB8m6Mgke3rammmKT07u3Wi/WojZG4FDiXXHIJGRkZTJs2jYKCAmpqanjrrbd48MEHufvuu23fX1FREXndM70uKxjVvU3UzBjW2PbSiaYaOI1vLPZrz7j+3Vi+fHkYLVJEG0VFRaS5MtqGiBvzbzwRu3fhevsDrwX+7BApeht2iB1jRGlQWh92JZc5Hg1T2Etpg/nHWaBk49LiCnJ6+BcM1U2725KL99S62kZQhRK9CRZv4saMHZ26DaG+7GetjQhGbZwiLnJwPElLS2PZsmXcfvvtHHfccezbt4/Ro0fzzjvvMH78eNv3V1xcTF5ue4Gz4N0chqwtoWCU9gDQRU0wI6eihc4piTQ2NgZeURG3FBcX0yOhY16KMdfG9fYH/PCc75urE9GXQFM1mCnmp5PiSqZm337bbFOEjz119gx8KNtbQU5337Ni68LGKJQ8C/yFC3+Rm6LCFq9dVW1TNHTJpCUrKeqEjV3DxuNS4ICWq/DCCy+EZV+L/n0fow4LPLusLm4a31jsM5E3mjB2UzW+sZi1hZXMGjUqghYd3Jxwwgnk5+e3vX/mmWfaLfeWd2YnxcXFfPfVGh4aMQFo7FD3BtqLG+P0BuHAKF6sJiMbBdKu+mJ6d+qByxWXAe6YYMDYUVzz7ktt7399+w3tls9erOVSjj3vzA7rrC7T6uW8uuZNv/vwl2y8/LPvGH64/+74gqoEv11j+gPaya4qqyJAFztFhS20DOpC41tbyRh+ggOWRQdxK3DCRWVlJc++upxVC28GtPwbvXqx3j1lrHljFDWxIHJ06ptaWL2zgtGjO3ZFKA4OHn/8cYamHU7nxDSGHroHcHdPGaI32pBw711S4axz403smI0cFdTsoH9qniN2KcLD6rKkoIsC7i0q56N3lvHBqr+3fWasgeNZ80Yv7Dciq5EBOa1A+xFLdhWw8xRK/tr1lWA8IKe1LUdIbNhNU/kukrMH2GJfNKIETojMmzeP0088lEH9O07FoIsbI55RkWjDW3Jxw+ufMefznzn6+Mn06dNxKLAi/tm3bx/PP/88f+z7O8ZmV3iN3ojdu7ScnPUHbu7G6I1RYIQzumNG2OgiaElJJR/v/YYvV6tcs4OVfz49nzPOP4Hs3C4BE4xBEzYbKpPZUJncJh6cwA6htK3URVFhC67N+9i36k3SBv0CV0pa4A3DiJ0VjZXACZGFCxdy96yjgfbRG09xU9ot3WsUJ9rQu890ql75hGv+s4Yfm7oyf/68CFqmiCTLly9n9OjRnNoKI69IaBM33ioWDz20jE3rs32KF+MUD/q63pbBAQHk+bnncjtYULiVT8vf4aHHH2CU6op1HG9TGozIsi/Hz0wUx1s31bKPv+XBZ/7QJm78RW/GZDfx2pZ0R4WNVYzRG285OK31tZR99DDN1eV0P+NWS20HKz6sRJ/sRAmcEMnJyWF/zYHh6J7Vij2TiqNZ3OjoNiZPm8Q9W/dTkTeSL996i/T09ABbKuKVnJwc9u/fDz5cwPX2B+0qFvvCl4Axu76/5WbEjrGbzFhYcElJJV/KhSxavJDjjz8+YDsKZ/AUPXYKHrN0zc6kprquw+e+Eos9icQoKn/719/rxf4q3p2LSEii57n3IxID5xDZQbgEjSdK4IRIz5492VNcHmkzHGHVo+/y2vyfWLdunRI3Bzk9e/Zkz5494GXqMbF7lzux+IDA8KwY7E2o2N095RkN8oZnd9W3ZV2QUlI2eiM3HXuTEjdRhjG/JRiCieLk9OhKaYB7ui5sPLulPMWFMak30hQVtlC/aQ31P39L76l/o/WQ3Eib5DhCyuAqPYYTIUT0G6mIZrZLKQdE2ohAKD9X2IDydcXBgCk/jwmBYxdCiG+llGMjbYcdxNOxQPwdTySJt3MZT8cTT8cSDcTT+YynY4HoOJ7oyYxSKBQKhUKhsAklcBQKhUKhUMQdB5vAeS7SBthIPB0LxN/xRJJ4O5fxdDzxdCzRQDydz3g6FoiC4zmocnAUCoVCoVAcHBxsERyFQqFQKBQHAUrgKBQKhUKhiDuUwFEoFAqFQhF3xLzAEUJcIoTYJoSoFkIsFUIMc38+Wwixy/35EiHEcMM2pwohNgkhaoQQbwshOrs/dwkhXhdClAkhborAsVwrhNgjhKgSQnwohOjpz95oPpYAx+P1O4v244kk8eTnbhvixteVn9tLPPl6PPl5gOOJTl+XUsbsCxgKVAOnA6nAbcAaYBywBxgIpAAPA4vd23QFyoGz3f//G3jCvexU4A4gDfgQyAjjsRwOlLltzwDeAF4NYG9UHkuA4/H6nUX78Sg/V76u/Fz5+sHq57Hq67EewZkEfC6lXCSlrAPmAKMA6X7pc20loJ1kgN8Aq6WU86WU+4CHgAvcy4R73UT3/+EcYnYc8KGUcpWUshp4DTgsgL3Reizg+3i8fmdCiG5E9/FEknjyc4gvX1d+bi/x5Ovx5OcQi74eTgXogKLsAQwwvB+PpiQTgWc4cFHUAoe413kMeNSwTYp7nQy0Lru30FTq9WE+liQg2f1/Npo6fiqAvVF5LAGOx993FrXHE8lXPPl5AN+IOV9Xfq58PQjfiDk/D3A8UevrMT2buJSyWP9fCHEu2gVwK3A8cA4wBtgEPIKmNn8BZALbDW00CCGagUypqdKpYTsAA1LKJgAhxOVoBZLqgZOBS/BhL1F6LG5bvB6Pr+9MStkshIja44kk8eTnblvixteVn9tLPPl6PPm525aY8/VY76JCCJEjhFgA/A2YKaV8Cq2/71Up5Rr3SbwVGOsOmVWg9RPq2yejKc194be+I1LK59H6JP8IzEdTwr7sjepjgY7HI4RI8vGdQQwcT6SINz+H+PJ15ef2EW++Hk9+DrHl6zEtcIQQ6cBytBDXcCnl++5FtR6rNgMtQB2Qj5YspTMC2CS1vsOIIYT4kxDiIgC3LX8HugG78G1vVB4L+D2e7nj/ziCKjyeSxJOfQ3z5uvJze4knX48nP4cY9XWn++2cfAFXoCU3eX5+LFCEFs5MRQtnfigP9B2Wu9fpCiwE7o6SY1kHDAI6oWWir/Vnb7QeS4Dj8fqdRfvxRMG57HDOYtHPA/hGzPm68nNHzmeH8xaLvh5Pfh7geKLW1yN+0kI84U8BrWhq3vjqD8wACoBK4H2gh2G7M4GtaKHCl4GUKDiWROBx90VcCSwChgSyNxqPxd/x+PvOovl4Inwu48bP/flGIJuj8XiUn9t+PuPG1+PJz/0dTzT7uppsU6FQKBQKRdwR0zk4CoVCoVAoFN5QAkehUCgUCkXcoQSOQqFQKBSKuEMJHIVCoVAoFHFHzFYyFkJ0Ac5DiTSFRj3wppSyMdKGBIMQIhWYjvJnhX9agXekNq9PTCKEmAgcGmk7FFFPvpRyWSgNxOQoKiHEsOysAfkZYyeT0Cnd9vaPHF1te5sAx+Q1295mRo0zz/Pmb/IdaXf3162OtPvDjko2U0k+Fd2llHsd2YmDCCFOdLlSFye6QvPnXkmHB14pAP1TOofcRr/00O8r/TM8a7sFR4+eNSG3kTQk9HMiB/cNuY1KVzJvvbmYF1/6I6OPnClCbjACCCFWPfnUrUcnJJjT8g0tFabbrmy0dkpK6s3/nthRk2B63aI68+sClFabt6Oqwto91FVq/jpylVusv2dh/Zq64sArGajfvxGR3I2Wqp8SpZQt1gzTiLkIzknHzJZds/pxzOjLKJsw1pF9jJtS6ki7Fw+zX4zklId+8/ZGY0KDI+3+uNV+kQcwdGcN62QZtTSX3CvGcadcFXM3f5dIJjExM6Q2uqccFrIdh2V0D7mNMd1CF7Jjs80/2Pwx9NCykNtInRj6OZETRofeRu8+nHnmMVxy8QNcd90W+bvf3R9zfg4w8/KzSUw09/ipbtptut09tdYCoAVV5oXI6rIk0+tuqEy2ZIer1LzdrYXWnvUJW8xfRwk7Ki21LRLMr99cudFS2y0p3WmuWoerU89mIUS2lLI88FbtiZlwuBBC/OKI6fKnTR9x8i9voWtWv0ibpIgyDhfZXMXhvMQGrhUjYy80qVCYYNiwfnz62eO8//4KZs2aIt3z+ygUcYUQLpKyRpKQMQSR1LUsJe80y/f0mBA4QoiUwX2Pba2q3sPkX95Mp5TQfuUq4pc8kcZsjmQZhZwjBkkhREz+wlUo/JGRkcobb95Fv/55HHf8qAYhRM9I26RQOEFCam+Sso+had83JGePtyRyol7gCCHyemQPq8/uMpBxIy8lwRVzvWqKMJMmkriekdTRzFi6t7on8FMo4gohBH/4w/nccccljBo1uHDpsrkqaqmIS1xJnUnOnURL/R4SOw81HbWMeoEDzEpPy2HYwMmoH+MKs7iE4FwGU0EDwLmRtkehcIoTTxzNzTdfwLXXPB5pUxQKxxCuRJK6Hk1rfQnAyWa2iQWBc09iQjJfrnmBlpamSNuiiBGqZRNPsJbR5AC8Gml7FAonkFLyxBP/5rnnP2Dduq19Im2PQuEUrU37ady7mITOw5FSLjSzTdQLHCll48ati0V214F88tUj1NXbM7JCEb/sljXMYQ0n0Ze3ZYGQsVgLQaEIQHV1HRdNv48tmwv5YtkPKVJK88ONFIoYoqVuN01lK0jqOpamcvMjZKNe4OisWvtPMWrYOXz61RzKKrZF2hxFlPK9LOV5fqIwsf6wv8m1qk9TEZds2rSLk076A6eddjTz5r0nYrXApULhDyklTZU/0lJdgGyqyGko+p+le3rMCByAj1c8KPZV7Riycu3LbN29MtLmKKIIKSUfye18xk52UJ3T1NS0PtI2KRRO8P6C5Uy74B6eeeYmLr30QSXiFXGJbGmgqfQLQNJavydRSmm5oFWsVjLO7JM3urKuazqJqaFXGPWk/4B629sEGNYlqGKMfklpcKZwXmtBoSPtlm92ppLxptJq8kjjM3YlSyljLllLCDFRiOQvXK6UkNrplhB6tdzcpNSQ28hJCf2+kpNiT1Aiq2vo13NCXujnhB7ZITdR0SSpqaln0aJVQRU+iwaEEMtn/P6sCcJl7vd1c6v5Yqa1zdb0XmWT+fXLLFQ93tdoLXZQXW/ejtpaa9eWqDJftFVUW7vmRI35W219o7X0kqa6QhKzjqBx77KgRXxMChwAIUQCcDcw34HmzwHeU+3GVLv1wAQp5XM2txsW3PV67sUZfw4Gp757qyg72tMKHC2lfDbShgSLu2bPNTh3PmPpvqXa9s2JUso5oTQQswIHQAjxrZTS9vkaVLuq3UgQTfZHiy3Kjo5Eky3B4uQxxOL9RbXtTNsxlYOjUCgUCoVCYQYlcBQKhUKhUMQdsS5wnMq3UO2qdiNBNNkfLbYoOzoSTbYEi5PHEIv3F9W2A23HdA6OQqFQKBQKhTdiPYKjUCgUCoVC0YGYFDhCiFOFEJuEEDVCiLeFELYUwxFCLBVC1BteL9nQ5hdCiPHu/4UQ4q9CiEohRKEQ4iob2hwshGj0sPvEINq8RAixTQhR7T4Pw0K110ebIdsrhLhWCLFHCFElhPhQCNHTrnMbCZzyZz/7s/RdCyEGCiGWCyHqhBCrhBAjbLbnMCFEgxAiz/3+FiFEqft1j2G9bkKIj9zn6SchxEQbbRgkhFjibnu9EOKESNgihJgthNjl/m6WCCGGR/K7sRsnfF04c4+1/X5oaNvx+5fZa8pim0uFx/PRxnNi6fozjZQypl5AV6AcONv9/7+BJ2xqeyeQYlNbpwLPABIY7/5sJvAD0Bs4AigFRofY5inAayHaOhSoBk4HUoHbgDWh2OunzZDsBQ4HyoBxQAbwBtpkmiGd23j0Z7u+a+AL4H4gE5gNfG+jPQnAl26fzgMmA7uAEUB/oAA4273uq8A/gC7ANKAISLbJjm+BO4F04BJgd7htcfv0HmAgkAI8DCyO1HcT7b6OA/fYYK8RC207fv+yck1ZbLfD89Euu61ef6bbjbTTB3EiLgE+Nbw/Ciiyod1OwFYb7fwL8AKw33DxfQ5cZFhnLvBQiG1eCdwToq1XAh8Y3iehFRQL2l4/bf4xFHuB/wP+aXh/BrA61HMbqZdT/mzXdw30Q7vZp7g/dwEVwHCb7JkN/NVwM34Z+LNh+U3Am2gP/Dqgj2HZj8BpNtgwBtiGOyfR/dmEcNsCjAUK0R6wKcAc4D+R+m6i3dd93A9Dvg84cT80bOP4/cvsNWWxTa/PR5vOiaXrz0rbsdhFNRJNTeusA3oIITJCbHcAkCyEWC2EKBdCvKeH94JBSnmHlPIyNLWu42n7T8CQENscCJzuDmvvEELcGoS584FZhvdHAbUh2uurzdwQ7X0euBxACJENTEf7tRLSuY0gTvmzL6x+16OADVLKBgApZSuQjw3nVghxCDADuMPwsS87DgGqpZS7vCwLlaOATcA/3aHwb4DGcNsipfwWeB/4Ga0y9/8Bt/uxw7HvxiFs9XUn7rFunLgf6jh6/7J4TVlhAN6fj3a0bfX6M00sCpxMoFJ/4764m92fh0JXYD1wEdqXWYkWOrSTdraj/fII1W4JfIYW+vw1cJUQYrqlBqQsllJuAxBCnAt8ANwair1+2mwKxV4pZZOUslEIcTlaOPRstF/VTpzbcOCUP3sliO/a83PjsqARQriAF4HrpZTGyYbCaoebHLRw+P+Avmi/HOeH2xYhxGS00vdjgM5oXWCvhdsOBwmHr4d8H3Difmho27H7VxDXlBV8PR/taNvq9WeaRIuGRAMVaP2iAAghktGOY18ojUopvwJONrR7M1AshEiVUtaF0raBdrYDaYRu923G9oUQT6GFPV+z0o4QIgft4jgKmCmlfF8IcVco9npr02OVoO2VUj4vhPgX2q+h+WihelvPbZhwxJ/9YfG79vRZ47JQuAbYLKX8xONzX9eIU3bo/Cil1H3waSHE3Wg33nDacjbwqpRyDYA7ulmJJgIicU7sJhy+bss91on7oRGH7l9Wrykr9np9PqLlVNlxTqxcf6aJxQhOPtqvf50RwKZQRYgQ4ldCiJMMHyWh3VjsmdJYw9P2Q4G1oTQohLjdfTHqJAHmp9/V2kgHlqOFeocbhEjQ9vpqM1R7hRB/EkJcBOD+zv8OdENLRrP13IYJR/zZF0F81xuBEe5fh/qvxGFoiYWhcAIwTR+R4f5sG1oI2psd24CuQohuXpaFyjY0PwTaJj51Af8Nsy21Hu+bgRbgex92OPXdOEU4fD3ke6wT90ND207ev07A2jVlxW5fz0c7nmnbsHb9mSeYJKZIvoBsNNV4LFrYbCFwtw3tXoSWpT0cLQz2CiGOTnK3u40DCXBXASvQHHocUAIMDbHNT9Eukky0LPadwMkW27sC+NzL50Hb66fNkOx1t7sOGISW+Hab2+ltObfx4s92ftfASuBmtF9TdwFLHLBLT4g8Da0/vjfaw3orcIJ7nTeBJ912zHRfrwk27Lsr2q/cy9xtzwK+QxtFEzZb3D5QhNZFlQo8AnwY6e8m2n0dm++xwVwjm4qShwAAAT5JREFUFtsOy/3LzDVloS2vz0ebzonl689025F2+iC/uDPdB1uN1l9n19Duv7i/oL3uL6+rDW0aL74EYB5aX+JO4EIb2uyH1ndZ7XaGq4No7ym0UQLNHq/+wdoboM2g7UULaT+O9iCoBBah/UKx5dzGkz/b9V2jJdWuQhs5tAzo74BdEshz/38H2oOwBPiDYZ0ewMduO9YAR9q4/6OBb4AqtByxgZGwBS1BtMDt2++79+PTt8Px3US7r2PzPdaJ+6Gh7bDdv8xcUxbb6/B8tMtuq9ef2ZeaqkGhUCgUCkXcEYs5OAqFQqFQKBR+UQJHoVAoFApF3KEEjkKhUCgUirhDCRyFQqFQKBRxhxI4CoVCoVAo4g4lcBQKhUKhUMQdSuAoFAqFQqGIO5TAUSgUCoVCEXcogaNQKBQKhSLu+H/8qbW4z1GvpQAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(0,10.1,1.)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_400_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='gist_earth_r', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(0,3.51,0.25)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(0,151,25)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(0,31,5)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_400_time_mean_landmask-273.15, \\\n", + " levels=levels, \\\n", + " cmap='Spectral_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(0,801,100)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "ax5.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='magma', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# prw\n", + "\n", + "levels = numpy.arange(0,61,5)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "ax6.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_400_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='YlGnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,1,2,3])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(280,301,5))\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,200,400,600,800])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-0.2,0.21,0.1))\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/CLIM_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# as a percent" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-01T22:07:12.349746Z", + "start_time": "2018-07-01T22:06:59.400044Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: divide by zero encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: invalid value encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "perc_diff = (raintot_diffs_time_mean_landmask/raintot_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-25,26,2.5)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "contour_plot1 = ax1.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "perc_diff = (etran_diffs_time_mean_landmask/etran_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-40,41,5)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "contour_plot2 = ax2.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "perc_diff = (lh_diffs_time_mean_landmask/lh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-15,16,2.5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "contour_plot3 = ax3.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "perc_diff = (t2_diffs_time_mean_landmask/(t2_400_time_mean_landmask-273.15))*100.\n", + "levels = numpy.arange(-3,3.1,0.25)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "contour_plot4 = ax4.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "perc_diff = (pblh_diffs_time_mean_landmask/pblh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-20,21,2.5)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "perc_diff = (prw_diffs_time_mean/prw_400_time_mean)*100.\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax5.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax6.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)#h_pad=7, w_pad=3)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-40,-20,0,20,40])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-3,-2,-1,0,1,2,3])\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "fig.savefig('png_files/FRACTIONAL_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/.ipynb_checkpoints/gp3_MYNN_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb b/.ipynb_checkpoints/gp3_MYNN_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb new file mode 100644 index 0000000..f75e529 --- /dev/null +++ b/.ipynb_checkpoints/gp3_MYNN_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb @@ -0,0 +1,1636 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T21:13:32.652555Z", + "start_time": "2018-08-16T21:13:30.501561Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import matplotlib.colors\n", + "import pandas\n", + "import matplotlib.patches\n", + "import netCDF4\n", + "import glob\n", + "import cmocean\n", + "\n", + "import mpl_toolkits\n", + "import cartopy\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T21:13:45.212241Z", + "start_time": "2018-08-16T21:13:45.204206Z" + } + }, + "outputs": [], + "source": [ + "run_info = 'FMAASO'\n", + "skip_time = 24" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 400 data" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T21:13:50.737511Z", + "start_time": "2018-08-16T21:13:50.604383Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ls: cannot access /beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYNN_scheme_10days: No such file or directory\r\n" + ] + } + ], + "source": [ + "!ls /beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYNN_scheme_10days" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:39:32.350163Z", + "start_time": "2018-08-17T04:39:32.339549Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYNN30_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:39:39.210409Z", + "start_time": "2018-08-17T04:39:33.599513Z" + } + }, + "outputs": [], + "source": [ + "cont_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:39:47.419490Z", + "start_time": "2018-08-17T04:39:39.219044Z" + } + }, + "outputs": [], + "source": [ + "rainc_400 = cont_mfds['RAINC'].values\n", + "rainnc_400 = cont_mfds['RAINNC'].values\n", + "qvapor_400 = cont_mfds['QVAPOR'].values\n", + "lh_400 = cont_mfds['LH'].values\n", + "\n", + "pblh_400 = cont_mfds['PBLH'].values\n", + "t2_400 = cont_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:39:48.529017Z", + "start_time": "2018-08-17T04:39:47.428026Z" + } + }, + "outputs": [], + "source": [ + "ecan_400 = cont_mfds['ECAN'].values*86400. # mm/day\n", + "edir_400 = cont_mfds['EDIR'].values*86400.\n", + "etran_400 = cont_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:39:49.632931Z", + "start_time": "2018-08-17T04:39:48.537480Z" + } + }, + "outputs": [], + "source": [ + "time = cont_mfds['Times'].values\n", + "xlat = cont_mfds['XLAT'].values[0,:,:]\n", + "xlong = cont_mfds['XLONG'].values[0,:,:]\n", + "landmask = cont_mfds['LANDMASK'].values[0,:,:]\n", + "landmask_midpoints = landmask[1:,1:]" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:01:33.335331Z", + "start_time": "2018-08-15T03:01:32.397070Z" + } + }, + "source": [ + "prw_400 = numpy.load('DATA_prw_400.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 1000 data" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:39:49.650535Z", + "start_time": "2018-08-17T04:39:49.641541Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_MYNN30_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout*.nc')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:39:55.071621Z", + "start_time": "2018-08-17T04:39:49.658888Z" + } + }, + "outputs": [], + "source": [ + "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:03.319243Z", + "start_time": "2018-08-17T04:39:55.080486Z" + } + }, + "outputs": [], + "source": [ + "rainc_1000 = phys_mfds['RAINC'].values\n", + "rainnc_1000 = phys_mfds['RAINNC'].values\n", + "qvapor_1000 = phys_mfds['QVAPOR'].values\n", + "lh_1000 = phys_mfds['LH'].values\n", + "\n", + "pblh_1000 = phys_mfds['PBLH'].values\n", + "t2_1000 = phys_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:04.422621Z", + "start_time": "2018-08-17T04:40:03.327868Z" + } + }, + "outputs": [], + "source": [ + "ecan_1000 = phys_mfds['ECAN'].values*86400. # mm/day\n", + "edir_1000 = phys_mfds['EDIR'].values*86400.\n", + "etran_1000 = phys_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:02:17.264099Z", + "start_time": "2018-08-15T03:03:23.232Z" + } + }, + "source": [ + "prw_1000 = numpy.load('DATA_prw_1000.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# get time stamps" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:04.446197Z", + "start_time": "2018-08-17T04:40:04.431223Z" + } + }, + "outputs": [], + "source": [ + "time_datetimes = pandas.to_datetime([i.decode('utf-8') for i in time], format = '%Y-%m-%d_%H:%M:%S')" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:04.520189Z", + "start_time": "2018-08-17T04:40:04.454495Z" + } + }, + "outputs": [], + "source": [ + "skip_time = 24\n", + "n_intervals = 8\n", + "hour_strings = ['00','03','06','09','12','15','18','21']\n", + "\n", + "times_00 = [t.hour in [23,0,1] for t in time_datetimes[skip_time:]]\n", + "times_03 = [t.hour in [2,3,4] for t in time_datetimes[skip_time:]]\n", + "times_06 = [t.hour in [5,6,7] for t in time_datetimes[skip_time:]]\n", + "times_09 = [t.hour in [8,9,10] for t in time_datetimes[skip_time:]]\n", + "times_12 = [t.hour in [11,12,13] for t in time_datetimes[skip_time:]]\n", + "times_15 = [t.hour in [14,15,16] for t in time_datetimes[skip_time:]]\n", + "times_18 = [t.hour in [17,18,19] for t in time_datetimes[skip_time:]]\n", + "times_21 = [t.hour in [20,21,22] for t in time_datetimes[skip_time:]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PRW differences" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:05:23.557774Z", + "start_time": "2018-08-15T03:05:23.354091Z" + } + }, + "source": [ + "prw_diffs = prw_1000-prw_400\n", + "prw_diffs_time_mean = numpy.mean(prw_diffs[skip_time:,:,:], axis=0)\n", + "prw_400_time_mean = numpy.mean(prw_400[skip_time:,:,:], axis=0)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PBLH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:05.264913Z", + "start_time": "2018-08-17T04:40:04.529277Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:11: RuntimeWarning: Mean of empty slice\n", + " # This is added back by InteractiveShellApp.init_path()\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:12: RuntimeWarning: Mean of empty slice\n", + " if sys.path[0] == '':\n" + ] + } + ], + "source": [ + "pblh_diffs = pblh_1000-pblh_400\n", + "pblh_diffs_time_mean = numpy.mean(pblh_diffs[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean = numpy.mean(pblh_400[skip_time:,:,:], axis=0)\n", + "\n", + "pblh_diffs_landmask = numpy.copy(pblh_diffs)\n", + "pblh_diffs_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_400_landmask = numpy.copy(pblh_400)\n", + "pblh_400_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_diffs_time_mean_landmask = numpy.nanmean(pblh_diffs_landmask[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean_landmask = numpy.nanmean(pblh_400_landmask[skip_time:,:,:], axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# LH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:05.375967Z", + "start_time": "2018-08-17T04:40:05.273217Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "lh_diffs_time_mean = numpy.mean(lh_1000[skip_time:,:,:] - lh_400[skip_time:,:,:], axis=0)\n", + "lh_diffs_time_mean_landmask = numpy.copy(lh_diffs_time_mean)\n", + "lh_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "lh_400_time_mean = numpy.mean(lh_400[skip_time:,:,:], axis=0)\n", + "lh_400_time_mean_landmask = numpy.copy(lh_400_time_mean)\n", + "lh_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# RAINTOT differences" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:06.248758Z", + "start_time": "2018-08-17T04:40:05.384872Z" + } + }, + "outputs": [], + "source": [ + "raintot_400 = rainc_400+rainnc_400\n", + "raintot_1000 = rainc_1000+rainnc_1000\n", + "\n", + "raintot_400_diff = numpy.zeros((raintot_400.shape))*numpy.nan\n", + "raintot_400_diff[:-1,:,:] = numpy.diff(raintot_400, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "raintot_1000_diff = numpy.zeros((raintot_1000.shape))*numpy.nan\n", + "raintot_1000_diff[:-1,:,:] = numpy.diff(raintot_1000, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "# monthly mean\n", + "raintot_diffs_time_mean = numpy.nanmean(raintot_1000_diff[skip_time:,:,:] - raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_diffs_time_mean_landmask = numpy.copy(raintot_diffs_time_mean)\n", + "raintot_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "raintot_400_time_mean = numpy.nanmean(raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_400_time_mean_landmask = numpy.copy(raintot_400_time_mean)\n", + "raintot_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# T2 differences" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:06.358643Z", + "start_time": "2018-08-17T04:40:06.257196Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "t2_diffs_time_mean = numpy.mean(t2_1000[skip_time:,:,:] - t2_400[skip_time:,:,:], axis=0)\n", + "t2_diffs_time_mean_landmask = numpy.copy(t2_diffs_time_mean)\n", + "t2_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "t2_400_time_mean = numpy.mean(t2_400[skip_time:,:,:], axis=0)\n", + "t2_400_time_mean_landmask = numpy.copy(t2_400_time_mean)\n", + "t2_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ECAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:06.471607Z", + "start_time": "2018-08-17T04:40:06.367213Z" + } + }, + "outputs": [], + "source": [ + "ecan_diffs_time_mean = numpy.mean(ecan_1000[skip_time:,:,:] - ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_diffs_time_mean_landmask = numpy.copy(ecan_diffs_time_mean)\n", + "ecan_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "ecan_400_time_mean = numpy.mean(ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_400_time_mean_landmask = numpy.copy(ecan_400_time_mean)\n", + "ecan_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ETRAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:06.583888Z", + "start_time": "2018-08-17T04:40:06.480043Z" + } + }, + "outputs": [], + "source": [ + "etran_diffs_time_mean = numpy.mean(etran_1000[skip_time:,:,:] - etran_400[skip_time:,:,:], axis=0)\n", + "etran_diffs_time_mean_landmask = numpy.copy(etran_diffs_time_mean)\n", + "etran_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "etran_400_time_mean = numpy.mean(etran_400[skip_time:,:,:], axis=0)\n", + "etran_400_time_mean_landmask = numpy.copy(etran_400_time_mean)\n", + "etran_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# EDIR differences" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:06.786801Z", + "start_time": "2018-08-17T04:40:06.592348Z" + } + }, + "outputs": [], + "source": [ + "edir_diffs_time_mean = numpy.mean(edir_1000[skip_time:,:,:] - edir_400[skip_time:,:,:], axis=0)\n", + "edir_diffs_time_mean_landmask = numpy.copy(edir_diffs_time_mean)\n", + "edir_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "edir_400_time_mean = numpy.mean(edir_400[skip_time:,:,:], axis=0)\n", + "edir_400_time_mean_landmask = numpy.copy(edir_400_time_mean)\n", + "edir_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:07.295170Z", + "start_time": "2018-08-17T04:40:06.795345Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.pcolormesh(raintot_diffs_time_mean_landmask,vmin=-0.01,vmax=0.01,cmap=cmocean.cm.balance_r)\n", + "mp.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:17.868796Z", + "start_time": "2018-08-17T04:40:07.305821Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-1,1.1,0.125)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#dry_lon_lo, dry_lon_hi, dry_lat_lo, dry_lat_hi = -60,-50,-10,10\n", + "#wet_lon_lo, wet_lon_hi, wet_lat_lo, wet_lat_hi = -80,-75,-10,10\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-0.5,0.51,0.1)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "# levels = numpy.arange(-.75,.76,0.125)\n", + "# ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "# ax6.gridlines(ylocs=[0], color='0.25')\n", + "# ax6.coastlines(resolution='110m')\n", + "# contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + "# levels=levels, \\\n", + "# cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "# ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "# ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "# ax6.set_yticks([-20,-10,0,10])\n", + "# ax6.tick_params(labelsize=fontsize)\n", + "# ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "# ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "# title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "# ax6.text(s='mm', x=0.05, y=0.03, \\\n", + "# ha='left', va='bottom', \\\n", + "# fontsize=fontsize, \\\n", + "# transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "# bbox_position = ax6.get_position()\n", + "# cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "# cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "# #cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "# cbar_axes.tick_params(labelsize=fontsize)\n", + "# cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('figures/MYNN30_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:17.875050Z", + "start_time": "2018-08-17T04:40:17.872277Z" + } + }, + "outputs": [], + "source": [ + "xlat_indices = (xlat>=-10) & (xlat<=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:18.271854Z", + "start_time": "2018-08-17T04:40:17.878260Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:6: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0,0.5,'mm day$^{\\\\,-1}$')" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.5,4))\n", + "ax = fig.add_subplot(111)\n", + "\n", + "lon_mean = numpy.nanmean(raintot_diffs_time_mean_landmask[xlat_indices[:,0],:]*24., axis=0)\n", + "lon_mean_smooth = pandas.Series(lon_mean).rolling(window=5, center=True).mean()\n", + "ax.plot(xlong[0,:]+360., lon_mean_smooth, c='firebrick')\n", + "ax.set_xlim(280,320)\n", + "ax.set_ylim(-1.25,1.25)\n", + "ax.axhline(0, c='0.1', ls='--')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s='MYNN30 days 2-10 precip. change', x=0, y=1.02, \\\n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.set_xlabel('longitude', fontsize=fontsize)\n", + "ax.set_ylabel('mm day$^{\\,-1}$', fontsize=fontsize)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## for cesm talk" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-15T03:08:31.076Z" + } + }, + "outputs": [], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(11,7))\n", + "fontsize = 18\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "levels = numpy.arange(-.75,.76,0.125)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['','',''])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['','',''])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['','',''])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['','',''])\n", + "\n", + "fig.tight_layout(h_pad=10)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='$\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='$\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='$\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='$\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='$\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='$\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/cesm_workshop_precip_lh_etc_maps.png', dpi=600, transparent=True, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot climatology of these variables" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-02T05:41:27.287058Z", + "start_time": "2018-07-02T05:41:19.109426Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(0,10.1,1.)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_400_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='gist_earth_r', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(0,3.51,0.25)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(0,151,25)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(0,31,5)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_400_time_mean_landmask-273.15, \\\n", + " levels=levels, \\\n", + " cmap='Spectral_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(0,801,100)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "ax5.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='magma', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# prw\n", + "\n", + "levels = numpy.arange(0,61,5)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "ax6.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_400_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='YlGnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,1,2,3])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(280,301,5))\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,200,400,600,800])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-0.2,0.21,0.1))\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/CLIM_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# as a percent" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-01T22:07:12.349746Z", + "start_time": "2018-07-01T22:06:59.400044Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: divide by zero encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: invalid value encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "perc_diff = (raintot_diffs_time_mean_landmask/raintot_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-25,26,2.5)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "contour_plot1 = ax1.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "perc_diff = (etran_diffs_time_mean_landmask/etran_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-40,41,5)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "contour_plot2 = ax2.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "perc_diff = (lh_diffs_time_mean_landmask/lh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-15,16,2.5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "contour_plot3 = ax3.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "perc_diff = (t2_diffs_time_mean_landmask/(t2_400_time_mean_landmask-273.15))*100.\n", + "levels = numpy.arange(-3,3.1,0.25)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "contour_plot4 = ax4.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "perc_diff = (pblh_diffs_time_mean_landmask/pblh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-20,21,2.5)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "perc_diff = (prw_diffs_time_mean/prw_400_time_mean)*100.\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax5.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax6.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)#h_pad=7, w_pad=3)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-40,-20,0,20,40])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-3,-2,-1,0,1,2,3])\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "fig.savefig('png_files/FRACTIONAL_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/.ipynb_checkpoints/gp3_TEMF_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb b/.ipynb_checkpoints/gp3_TEMF_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb new file mode 100644 index 0000000..5409fed --- /dev/null +++ b/.ipynb_checkpoints/gp3_TEMF_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb @@ -0,0 +1,1641 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:38:23.822274Z", + "start_time": "2018-08-16T05:38:16.821019Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import matplotlib.colors\n", + "import pandas\n", + "import matplotlib.patches\n", + "import netCDF4\n", + "import glob\n", + "import cmocean\n", + "\n", + "import mpl_toolkits\n", + "import cartopy\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:38:23.836842Z", + "start_time": "2018-08-16T05:38:23.831114Z" + } + }, + "outputs": [], + "source": [ + "run_info = 'FMAASO'\n", + "skip_time = 24" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 400 data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:38:24.109347Z", + "start_time": "2018-08-16T05:38:23.844929Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "wrfout_d01_1979-01-01_00:00:00\twrfout_d01_1979-01-07_00:00:00\r\n", + "wrfout_d01_1979-01-02_00:00:00\twrfout_d01_1979-01-08_00:00:00\r\n", + "wrfout_d01_1979-01-03_00:00:00\twrfout_d01_1979-01-09_00:00:00\r\n", + "wrfout_d01_1979-01-04_00:00:00\twrfout_d01_1979-01-10_00:00:00\r\n", + "wrfout_d01_1979-01-05_00:00:00\twrfout_d01_1979-01-11_00:00:00\r\n", + "wrfout_d01_1979-01-06_00:00:00\r\n" + ] + } + ], + "source": [ + "!ls /beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_TEMF_scheme_10days" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:38:25.239754Z", + "start_time": "2018-08-16T05:38:25.229426Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_TEMF_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:38:34.843385Z", + "start_time": "2018-08-16T05:38:26.198788Z" + } + }, + "outputs": [], + "source": [ + "cont_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:41:01.378926Z", + "start_time": "2018-08-16T05:38:34.851770Z" + } + }, + "outputs": [], + "source": [ + "rainc_400 = cont_mfds['RAINC'].values\n", + "rainnc_400 = cont_mfds['RAINNC'].values\n", + "qvapor_400 = cont_mfds['QVAPOR'].values\n", + "lh_400 = cont_mfds['LH'].values\n", + "\n", + "pblh_400 = cont_mfds['PBLH'].values\n", + "t2_400 = cont_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:41:21.109938Z", + "start_time": "2018-08-16T05:41:01.387323Z" + } + }, + "outputs": [], + "source": [ + "ecan_400 = cont_mfds['ECAN'].values*86400. # mm/day\n", + "edir_400 = cont_mfds['EDIR'].values*86400.\n", + "etran_400 = cont_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:41:55.283077Z", + "start_time": "2018-08-16T05:41:21.118937Z" + } + }, + "outputs": [], + "source": [ + "time = cont_mfds['Times'].values\n", + "xlat = cont_mfds['XLAT'].values[0,:,:]\n", + "xlong = cont_mfds['XLONG'].values[0,:,:]\n", + "landmask = cont_mfds['LANDMASK'].values[0,:,:]\n", + "landmask_midpoints = landmask[1:,1:]" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:01:33.335331Z", + "start_time": "2018-08-15T03:01:32.397070Z" + } + }, + "source": [ + "prw_400 = numpy.load('DATA_prw_400.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 1000 data" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:41:55.300273Z", + "start_time": "2018-08-16T05:41:55.291407Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_TEMF_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout*.nc')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:42:03.652653Z", + "start_time": "2018-08-16T05:41:55.308715Z" + } + }, + "outputs": [], + "source": [ + "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:06.093444Z", + "start_time": "2018-08-16T05:42:03.661414Z" + } + }, + "outputs": [], + "source": [ + "rainc_1000 = phys_mfds['RAINC'].values\n", + "rainnc_1000 = phys_mfds['RAINNC'].values\n", + "qvapor_1000 = phys_mfds['QVAPOR'].values\n", + "lh_1000 = phys_mfds['LH'].values\n", + "\n", + "pblh_1000 = phys_mfds['PBLH'].values\n", + "t2_1000 = phys_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:24.670726Z", + "start_time": "2018-08-16T05:44:06.101720Z" + } + }, + "outputs": [], + "source": [ + "ecan_1000 = phys_mfds['ECAN'].values*86400. # mm/day\n", + "edir_1000 = phys_mfds['EDIR'].values*86400.\n", + "etran_1000 = phys_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:02:17.264099Z", + "start_time": "2018-08-15T03:03:23.232Z" + } + }, + "source": [ + "prw_1000 = numpy.load('DATA_prw_1000.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# get time stamps" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:24.693715Z", + "start_time": "2018-08-16T05:44:24.679094Z" + } + }, + "outputs": [], + "source": [ + "time_datetimes = pandas.to_datetime([i.decode('utf-8') for i in time], format = '%Y-%m-%d_%H:%M:%S')" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:26.054475Z", + "start_time": "2018-08-16T05:44:24.702667Z" + } + }, + "outputs": [], + "source": [ + "skip_time = 24\n", + "n_intervals = 8\n", + "hour_strings = ['00','03','06','09','12','15','18','21']\n", + "\n", + "times_00 = [t.hour in [23,0,1] for t in time_datetimes[skip_time:]]\n", + "times_03 = [t.hour in [2,3,4] for t in time_datetimes[skip_time:]]\n", + "times_06 = [t.hour in [5,6,7] for t in time_datetimes[skip_time:]]\n", + "times_09 = [t.hour in [8,9,10] for t in time_datetimes[skip_time:]]\n", + "times_12 = [t.hour in [11,12,13] for t in time_datetimes[skip_time:]]\n", + "times_15 = [t.hour in [14,15,16] for t in time_datetimes[skip_time:]]\n", + "times_18 = [t.hour in [17,18,19] for t in time_datetimes[skip_time:]]\n", + "times_21 = [t.hour in [20,21,22] for t in time_datetimes[skip_time:]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PRW differences" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:05:23.557774Z", + "start_time": "2018-08-15T03:05:23.354091Z" + } + }, + "source": [ + "prw_diffs = prw_1000-prw_400\n", + "prw_diffs_time_mean = numpy.mean(prw_diffs[skip_time:,:,:], axis=0)\n", + "prw_400_time_mean = numpy.mean(prw_400[skip_time:,:,:], axis=0)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PBLH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:27.098076Z", + "start_time": "2018-08-16T05:44:26.063079Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:11: RuntimeWarning: Mean of empty slice\n", + " # This is added back by InteractiveShellApp.init_path()\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:12: RuntimeWarning: Mean of empty slice\n", + " if sys.path[0] == '':\n" + ] + } + ], + "source": [ + "pblh_diffs = pblh_1000-pblh_400\n", + "pblh_diffs_time_mean = numpy.mean(pblh_diffs[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean = numpy.mean(pblh_400[skip_time:,:,:], axis=0)\n", + "\n", + "pblh_diffs_landmask = numpy.copy(pblh_diffs)\n", + "pblh_diffs_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_400_landmask = numpy.copy(pblh_400)\n", + "pblh_400_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_diffs_time_mean_landmask = numpy.nanmean(pblh_diffs_landmask[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean_landmask = numpy.nanmean(pblh_400_landmask[skip_time:,:,:], axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# LH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:27.201105Z", + "start_time": "2018-08-16T05:44:27.106265Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "lh_diffs_time_mean = numpy.mean(lh_1000[skip_time:,:,:] - lh_400[skip_time:,:,:], axis=0)\n", + "lh_diffs_time_mean_landmask = numpy.copy(lh_diffs_time_mean)\n", + "lh_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "lh_400_time_mean = numpy.mean(lh_400[skip_time:,:,:], axis=0)\n", + "lh_400_time_mean_landmask = numpy.copy(lh_400_time_mean)\n", + "lh_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# RAINTOT differences" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:28.086969Z", + "start_time": "2018-08-16T05:44:27.212275Z" + } + }, + "outputs": [], + "source": [ + "raintot_400 = rainc_400+rainnc_400\n", + "raintot_1000 = rainc_1000+rainnc_1000\n", + "\n", + "raintot_400_diff = numpy.zeros((raintot_400.shape))*numpy.nan\n", + "raintot_400_diff[:-1,:,:] = numpy.diff(raintot_400, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "raintot_1000_diff = numpy.zeros((raintot_1000.shape))*numpy.nan\n", + "raintot_1000_diff[:-1,:,:] = numpy.diff(raintot_1000, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "# monthly mean\n", + "raintot_diffs_time_mean = numpy.nanmean(raintot_1000_diff[skip_time:,:,:] - raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_diffs_time_mean_landmask = numpy.copy(raintot_diffs_time_mean)\n", + "raintot_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "raintot_400_time_mean = numpy.nanmean(raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_400_time_mean_landmask = numpy.copy(raintot_400_time_mean)\n", + "raintot_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# T2 differences" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:28.192455Z", + "start_time": "2018-08-16T05:44:28.097477Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "t2_diffs_time_mean = numpy.mean(t2_1000[skip_time:,:,:] - t2_400[skip_time:,:,:], axis=0)\n", + "t2_diffs_time_mean_landmask = numpy.copy(t2_diffs_time_mean)\n", + "t2_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "t2_400_time_mean = numpy.mean(t2_400[skip_time:,:,:], axis=0)\n", + "t2_400_time_mean_landmask = numpy.copy(t2_400_time_mean)\n", + "t2_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ECAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:28.418358Z", + "start_time": "2018-08-16T05:44:28.202269Z" + } + }, + "outputs": [], + "source": [ + "ecan_diffs_time_mean = numpy.mean(ecan_1000[skip_time:,:,:] - ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_diffs_time_mean_landmask = numpy.copy(ecan_diffs_time_mean)\n", + "ecan_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "ecan_400_time_mean = numpy.mean(ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_400_time_mean_landmask = numpy.copy(ecan_400_time_mean)\n", + "ecan_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ETRAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:28.581807Z", + "start_time": "2018-08-16T05:44:28.428528Z" + } + }, + "outputs": [], + "source": [ + "etran_diffs_time_mean = numpy.mean(etran_1000[skip_time:,:,:] - etran_400[skip_time:,:,:], axis=0)\n", + "etran_diffs_time_mean_landmask = numpy.copy(etran_diffs_time_mean)\n", + "etran_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "etran_400_time_mean = numpy.mean(etran_400[skip_time:,:,:], axis=0)\n", + "etran_400_time_mean_landmask = numpy.copy(etran_400_time_mean)\n", + "etran_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# EDIR differences" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:28.691332Z", + "start_time": "2018-08-16T05:44:28.590181Z" + } + }, + "outputs": [], + "source": [ + "edir_diffs_time_mean = numpy.mean(edir_1000[skip_time:,:,:] - edir_400[skip_time:,:,:], axis=0)\n", + "edir_diffs_time_mean_landmask = numpy.copy(edir_diffs_time_mean)\n", + "edir_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "edir_400_time_mean = numpy.mean(edir_400[skip_time:,:,:], axis=0)\n", + "edir_400_time_mean_landmask = numpy.copy(edir_400_time_mean)\n", + "edir_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:29.383298Z", + "start_time": "2018-08-16T05:44:28.701464Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.pcolormesh(raintot_diffs_time_mean_landmask,vmin=-0.01,vmax=0.01,cmap=cmocean.cm.balance_r)\n", + "mp.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:35:04.629685Z", + "start_time": "2018-08-16T20:34:52.825333Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-1,1.1,0.125)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#dry_lon_lo, dry_lon_hi, dry_lat_lo, dry_lat_hi = -60,-50,-10,10\n", + "#wet_lon_lo, wet_lon_hi, wet_lat_lo, wet_lat_hi = -80,-75,-10,10\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-0.5,0.51,0.1)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "# levels = numpy.arange(-.75,.76,0.125)\n", + "# ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "# ax6.gridlines(ylocs=[0], color='0.25')\n", + "# ax6.coastlines(resolution='110m')\n", + "# contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + "# levels=levels, \\\n", + "# cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "# ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "# ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "# ax6.set_yticks([-20,-10,0,10])\n", + "# ax6.tick_params(labelsize=fontsize)\n", + "# ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "# ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "# title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "# ax6.text(s='mm', x=0.05, y=0.03, \\\n", + "# ha='left', va='bottom', \\\n", + "# fontsize=fontsize, \\\n", + "# transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "# bbox_position = ax6.get_position()\n", + "# cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "# cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "# #cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "# cbar_axes.tick_params(labelsize=fontsize)\n", + "# cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('figures/TEMF_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:27:35.195167Z", + "start_time": "2018-08-16T20:27:35.191410Z" + } + }, + "outputs": [], + "source": [ + "xlat_indices = (xlat>=-10) & (xlat<=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:32:08.805407Z", + "start_time": "2018-08-16T20:32:08.573834Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:6: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0,0.5,'mm day$^{\\\\,-1}$')" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.5,4))\n", + "ax = fig.add_subplot(111)\n", + "\n", + "lon_mean = numpy.nanmean(raintot_diffs_time_mean_landmask[xlat_indices[:,0],:]*24., axis=0)\n", + "lon_mean_smooth = pandas.Series(lon_mean).rolling(window=5, center=True).mean()\n", + "ax.plot(xlong[0,:]+360., lon_mean_smooth, c='firebrick')\n", + "ax.set_xlim(280,320)\n", + "ax.set_ylim(-1.25,1.25)\n", + "ax.axhline(0, c='0.1', ls='--')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s='TEMF days 2-10 precip. change', x=0, y=1.02, \\\n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.set_xlabel('longitude', fontsize=fontsize)\n", + "ax.set_ylabel('mm day$^{\\,-1}$', fontsize=fontsize)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## for cesm talk" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-15T03:08:31.076Z" + } + }, + "outputs": [], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(11,7))\n", + "fontsize = 18\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "levels = numpy.arange(-.75,.76,0.125)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['','',''])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['','',''])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['','',''])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['','',''])\n", + "\n", + "fig.tight_layout(h_pad=10)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='$\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='$\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='$\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='$\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='$\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='$\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/cesm_workshop_precip_lh_etc_maps.png', dpi=600, transparent=True, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot climatology of these variables" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-02T05:41:27.287058Z", + "start_time": "2018-07-02T05:41:19.109426Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(0,10.1,1.)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_400_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='gist_earth_r', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(0,3.51,0.25)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(0,151,25)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(0,31,5)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_400_time_mean_landmask-273.15, \\\n", + " levels=levels, \\\n", + " cmap='Spectral_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(0,801,100)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "ax5.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='magma', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# prw\n", + "\n", + "levels = numpy.arange(0,61,5)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "ax6.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_400_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='YlGnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,1,2,3])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(280,301,5))\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,200,400,600,800])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-0.2,0.21,0.1))\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/CLIM_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# as a percent" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-01T22:07:12.349746Z", + "start_time": "2018-07-01T22:06:59.400044Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: divide by zero encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: invalid value encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "perc_diff = (raintot_diffs_time_mean_landmask/raintot_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-25,26,2.5)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "contour_plot1 = ax1.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "perc_diff = (etran_diffs_time_mean_landmask/etran_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-40,41,5)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "contour_plot2 = ax2.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "perc_diff = (lh_diffs_time_mean_landmask/lh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-15,16,2.5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "contour_plot3 = ax3.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "perc_diff = (t2_diffs_time_mean_landmask/(t2_400_time_mean_landmask-273.15))*100.\n", + "levels = numpy.arange(-3,3.1,0.25)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "contour_plot4 = ax4.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "perc_diff = (pblh_diffs_time_mean_landmask/pblh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-20,21,2.5)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "perc_diff = (prw_diffs_time_mean/prw_400_time_mean)*100.\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax5.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax6.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)#h_pad=7, w_pad=3)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-40,-20,0,20,40])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-3,-2,-1,0,1,2,3])\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "fig.savefig('png_files/FRACTIONAL_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/.ipynb_checkpoints/gp3_UW_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb b/.ipynb_checkpoints/gp3_UW_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb new file mode 100644 index 0000000..a9ae270 --- /dev/null +++ b/.ipynb_checkpoints/gp3_UW_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR-checkpoint.ipynb @@ -0,0 +1,1662 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:39:18.430326Z", + "start_time": "2018-08-16T05:39:15.068166Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import matplotlib.colors\n", + "import pandas\n", + "import matplotlib.patches\n", + "import netCDF4\n", + "import glob\n", + "import cmocean\n", + "\n", + "import mpl_toolkits\n", + "import cartopy\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:39:18.444467Z", + "start_time": "2018-08-16T05:39:18.438918Z" + } + }, + "outputs": [], + "source": [ + "run_info = 'FMAASO'\n", + "skip_time = 24" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 400 data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:39:18.683793Z", + "start_time": "2018-08-16T05:39:18.471792Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "wrfout_d01_1979-01-01_00:00:00\twrfout_d01_1979-01-07_00:00:00\r\n", + "wrfout_d01_1979-01-02_00:00:00\twrfout_d01_1979-01-08_00:00:00\r\n", + "wrfout_d01_1979-01-03_00:00:00\twrfout_d01_1979-01-09_00:00:00\r\n", + "wrfout_d01_1979-01-04_00:00:00\twrfout_d01_1979-01-10_00:00:00\r\n", + "wrfout_d01_1979-01-05_00:00:00\twrfout_d01_1979-01-11_00:00:00\r\n", + "wrfout_d01_1979-01-06_00:00:00\r\n" + ] + } + ], + "source": [ + "!ls /beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_UW_scheme_10days" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:39:22.310288Z", + "start_time": "2018-08-16T05:39:22.298806Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_UW_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:39:31.810979Z", + "start_time": "2018-08-16T05:39:22.603501Z" + } + }, + "outputs": [], + "source": [ + "cont_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:42:13.281278Z", + "start_time": "2018-08-16T05:39:46.884215Z" + } + }, + "outputs": [], + "source": [ + "rainc_400 = cont_mfds['RAINC'].values\n", + "rainnc_400 = cont_mfds['RAINNC'].values\n", + "qvapor_400 = cont_mfds['QVAPOR'].values\n", + "lh_400 = cont_mfds['LH'].values\n", + "\n", + "pblh_400 = cont_mfds['PBLH'].values\n", + "t2_400 = cont_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:42:34.385289Z", + "start_time": "2018-08-16T05:42:13.289619Z" + } + }, + "outputs": [], + "source": [ + "ecan_400 = cont_mfds['ECAN'].values*86400. # mm/day\n", + "edir_400 = cont_mfds['EDIR'].values*86400.\n", + "etran_400 = cont_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:43:06.641586Z", + "start_time": "2018-08-16T05:42:34.393767Z" + } + }, + "outputs": [], + "source": [ + "time = cont_mfds['Times'].values\n", + "xlat = cont_mfds['XLAT'].values[0,:,:]\n", + "xlong = cont_mfds['XLONG'].values[0,:,:]\n", + "landmask = cont_mfds['LANDMASK'].values[0,:,:]\n", + "landmask_midpoints = landmask[1:,1:]" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:01:33.335331Z", + "start_time": "2018-08-15T03:01:32.397070Z" + } + }, + "source": [ + "prw_400 = numpy.load('DATA_prw_400.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 1000 data" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:43:06.661478Z", + "start_time": "2018-08-16T05:43:06.652317Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_UW_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout*.nc')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:43:16.462810Z", + "start_time": "2018-08-16T05:43:06.669529Z" + } + }, + "outputs": [], + "source": [ + "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:45:51.346723Z", + "start_time": "2018-08-16T05:43:16.471367Z" + } + }, + "outputs": [], + "source": [ + "rainc_1000 = phys_mfds['RAINC'].values\n", + "rainnc_1000 = phys_mfds['RAINNC'].values\n", + "qvapor_1000 = phys_mfds['QVAPOR'].values\n", + "lh_1000 = phys_mfds['LH'].values\n", + "\n", + "pblh_1000 = phys_mfds['PBLH'].values\n", + "t2_1000 = phys_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:09.351565Z", + "start_time": "2018-08-16T05:45:51.355037Z" + } + }, + "outputs": [], + "source": [ + "ecan_1000 = phys_mfds['ECAN'].values*86400. # mm/day\n", + "edir_1000 = phys_mfds['EDIR'].values*86400.\n", + "etran_1000 = phys_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:02:17.264099Z", + "start_time": "2018-08-15T03:03:23.232Z" + } + }, + "source": [ + "prw_1000 = numpy.load('DATA_prw_1000.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# get time stamps" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:09.374663Z", + "start_time": "2018-08-16T05:46:09.359987Z" + } + }, + "outputs": [], + "source": [ + "time_datetimes = pandas.to_datetime([i.decode('utf-8') for i in time], format = '%Y-%m-%d_%H:%M:%S')" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:09.755970Z", + "start_time": "2018-08-16T05:46:09.383018Z" + } + }, + "outputs": [], + "source": [ + "skip_time = 24\n", + "n_intervals = 8\n", + "hour_strings = ['00','03','06','09','12','15','18','21']\n", + "\n", + "times_00 = [t.hour in [23,0,1] for t in time_datetimes[skip_time:]]\n", + "times_03 = [t.hour in [2,3,4] for t in time_datetimes[skip_time:]]\n", + "times_06 = [t.hour in [5,6,7] for t in time_datetimes[skip_time:]]\n", + "times_09 = [t.hour in [8,9,10] for t in time_datetimes[skip_time:]]\n", + "times_12 = [t.hour in [11,12,13] for t in time_datetimes[skip_time:]]\n", + "times_15 = [t.hour in [14,15,16] for t in time_datetimes[skip_time:]]\n", + "times_18 = [t.hour in [17,18,19] for t in time_datetimes[skip_time:]]\n", + "times_21 = [t.hour in [20,21,22] for t in time_datetimes[skip_time:]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PRW differences" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:05:23.557774Z", + "start_time": "2018-08-15T03:05:23.354091Z" + } + }, + "source": [ + "prw_diffs = prw_1000-prw_400\n", + "prw_diffs_time_mean = numpy.mean(prw_diffs[skip_time:,:,:], axis=0)\n", + "prw_400_time_mean = numpy.mean(prw_400[skip_time:,:,:], axis=0)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PBLH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:10.611229Z", + "start_time": "2018-08-16T05:46:09.764435Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:11: RuntimeWarning: Mean of empty slice\n", + " # This is added back by InteractiveShellApp.init_path()\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:12: RuntimeWarning: Mean of empty slice\n", + " if sys.path[0] == '':\n" + ] + } + ], + "source": [ + "pblh_diffs = pblh_1000-pblh_400\n", + "pblh_diffs_time_mean = numpy.mean(pblh_diffs[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean = numpy.mean(pblh_400[skip_time:,:,:], axis=0)\n", + "\n", + "pblh_diffs_landmask = numpy.copy(pblh_diffs)\n", + "pblh_diffs_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_400_landmask = numpy.copy(pblh_400)\n", + "pblh_400_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_diffs_time_mean_landmask = numpy.nanmean(pblh_diffs_landmask[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean_landmask = numpy.nanmean(pblh_400_landmask[skip_time:,:,:], axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# LH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:10.712051Z", + "start_time": "2018-08-16T05:46:10.619380Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "lh_diffs_time_mean = numpy.mean(lh_1000[skip_time:,:,:] - lh_400[skip_time:,:,:], axis=0)\n", + "lh_diffs_time_mean_landmask = numpy.copy(lh_diffs_time_mean)\n", + "lh_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "lh_400_time_mean = numpy.mean(lh_400[skip_time:,:,:], axis=0)\n", + "lh_400_time_mean_landmask = numpy.copy(lh_400_time_mean)\n", + "lh_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# RAINTOT differences" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:11.763668Z", + "start_time": "2018-08-16T05:46:10.720631Z" + } + }, + "outputs": [], + "source": [ + "raintot_400 = rainc_400+rainnc_400\n", + "raintot_1000 = rainc_1000+rainnc_1000\n", + "\n", + "raintot_400_diff = numpy.zeros((raintot_400.shape))*numpy.nan\n", + "raintot_400_diff[:-1,:,:] = numpy.diff(raintot_400, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "raintot_1000_diff = numpy.zeros((raintot_1000.shape))*numpy.nan\n", + "raintot_1000_diff[:-1,:,:] = numpy.diff(raintot_1000, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "# monthly mean\n", + "raintot_diffs_time_mean = numpy.nanmean(raintot_1000_diff[skip_time:,:,:] - raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_diffs_time_mean_landmask = numpy.copy(raintot_diffs_time_mean)\n", + "raintot_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "raintot_400_time_mean = numpy.nanmean(raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_400_time_mean_landmask = numpy.copy(raintot_400_time_mean)\n", + "raintot_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# T2 differences" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:11.867140Z", + "start_time": "2018-08-16T05:46:11.772072Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "t2_diffs_time_mean = numpy.mean(t2_1000[skip_time:,:,:] - t2_400[skip_time:,:,:], axis=0)\n", + "t2_diffs_time_mean_landmask = numpy.copy(t2_diffs_time_mean)\n", + "t2_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "t2_400_time_mean = numpy.mean(t2_400[skip_time:,:,:], axis=0)\n", + "t2_400_time_mean_landmask = numpy.copy(t2_400_time_mean)\n", + "t2_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ECAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:15.734285Z", + "start_time": "2018-08-16T05:46:11.875541Z" + } + }, + "outputs": [], + "source": [ + "ecan_diffs_time_mean = numpy.mean(ecan_1000[skip_time:,:,:] - ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_diffs_time_mean_landmask = numpy.copy(ecan_diffs_time_mean)\n", + "ecan_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "ecan_400_time_mean = numpy.mean(ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_400_time_mean_landmask = numpy.copy(ecan_400_time_mean)\n", + "ecan_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ETRAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:16.510690Z", + "start_time": "2018-08-16T05:46:15.742796Z" + } + }, + "outputs": [], + "source": [ + "etran_diffs_time_mean = numpy.mean(etran_1000[skip_time:,:,:] - etran_400[skip_time:,:,:], axis=0)\n", + "etran_diffs_time_mean_landmask = numpy.copy(etran_diffs_time_mean)\n", + "etran_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "etran_400_time_mean = numpy.mean(etran_400[skip_time:,:,:], axis=0)\n", + "etran_400_time_mean_landmask = numpy.copy(etran_400_time_mean)\n", + "etran_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# EDIR differences" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:17.093496Z", + "start_time": "2018-08-16T05:46:16.519345Z" + } + }, + "outputs": [], + "source": [ + "edir_diffs_time_mean = numpy.mean(edir_1000[skip_time:,:,:] - edir_400[skip_time:,:,:], axis=0)\n", + "edir_diffs_time_mean_landmask = numpy.copy(edir_diffs_time_mean)\n", + "edir_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "edir_400_time_mean = numpy.mean(edir_400[skip_time:,:,:], axis=0)\n", + "edir_400_time_mean_landmask = numpy.copy(edir_400_time_mean)\n", + "edir_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:19.607468Z", + "start_time": "2018-08-16T05:46:17.102093Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.pcolormesh(raintot_diffs_time_mean_landmask,vmin=-0.01,vmax=0.01,cmap=cmocean.cm.balance_r)\n", + "mp.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:30.359942Z", + "start_time": "2018-08-16T05:46:19.615751Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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ZTlWZiVfOdQCy963n119/LbMx/dKlS/z222+0b9+eNm3a0KlTJ8aNG8eS2e+y/qs5jH3mKeKSUnniiSeYMmUKhw4donfv3tSoUYPJkyfTsmVLvv322zLp26NKkyZNCAsLA8DBwYG0tLRSq/u+E/0JIZ4EBgBjgXZSygNCiOrAJWAUsAdYClyTUk7KL98a+BT4GQiXUqYX0YbMycnBysoKPN0gyJ/lCxcR7uHGuAVLOL9lO/v37y/VPDjr16/nhRdeoFWrVlRztCP06Wc4GRPFwB49aefmxG/T25JRvw8jJy3BtaolPUeMZdjAwTRr8Zi2H6lXz9N/QH/GvvwGr732GqBxNyclJWFpaYmLyz2xJqXk4sWL3Lp1i7S0NDIyMrh79y4pKSlYWlpy+PBh/v77b6ZMmULv3r1L7T7LgqioKBo1alTmv+pDQkKIiIgoslxpJT8ra1sXQkgpJbNmzeK9997jTtxFJtXuAmhy4PxMHBt2/E7nzoZzh5SE5ORkhg0bRlxcHL6+vqRs3MuLw9vi07Y1bQc/D0BOTg7+rTsSG/cPfXp0Y2CfMFr3HIKTkzNuOYlIKfnksyV8+9Mazp49i62tLaBx+9+4cQNPT88Cn82kpCTi4uJIS0sjPT2drKwscnNzuXDhAnXq1OG///0vNjY2rFq1qtTus6x4GG29vMb0tLQ0HB0deeq19/g+2JHJgxcD8DepVH+yDVu3bjVVRbFZuXIlkyZNonXr1tzcFsGLTwRg97g/XZr542CrmQH48epdxkyehq+bC72fHU2P3v0ICGqCEAKvnOucu3iZsJ4D+WDREkaMGAFoxvTExERsbW1xcnLStpebm8vFixdJS0vTjum5ubkkJSVhZ2dHREQEJ0+eZObMmXTq1KlU79Vchg4diouLC19++SUACQkJuLu7M3/+fO131v79++nQoQPJycllGvS9ePFi1q5dy86dO4v8LjfbzqWU9/UAZgHLgDSgbf6x54HtOmUeB67nP+8BzASqAZsABzPakFJK2bp1a4m3hySkuez03ZcyLjVFfhN5VLr4esuNGzfK0iI6OlpWr15dbtq5Q8alpsi41BS5/NwxeW7LRHk7NU7GpabI+JPLZcTurRKQU17uK+NPLteWVcocTIiT/ea8L21sbGStWrWkh4eHtLKyki4uLtLFxUX+/PPP2jZXrlwpAfnYY4/JDh06yODgYAlIQNrY2EgnJyfZpUsXOXPmzFK7z7LiypUr0sbG5r7rmT17tgwODtY+ZsyYUeB8cHCwWfXk288Db+uKnR88eFAC8tI/STJz13/kWHzkWHxkKK6yQ4cOMjc3twTvpmGeeeYZOfrZcJlx7YLMjr8iI4JDZOau/2ifZ8dfkdnxV2Tbli0koH0dezNdxt5M177Ojr8iPYS1rFmzpqxdu7asVq2atLGxkdWrV5f9+vWTKSkpUkopb9++LWvXri3d3d1l27ZtZdeuXbV2rjyWLVum/M8eeB5GWy/PMb1BgwayXv8J8qsDUfJEeJgci498AW9ZFUsZERFRgnfSMCdOnJDu7u7y6I6NMifuvMyJOy9PhIfJ22vmydtr5skT4WEyJ+683LrqOwnIeSP7yZy48/Jy4i15OfGW9nlO3Hm57NVwaWdtJWvVqiXd3d1llSpVpKurq3Rzc5ObN2/Wtrl48WIJyBYtWsiOHTvKli1bam3c1dVVenp6yjZt2siFCxeW2n0Wly+++EI2a9ZM+3rlypWyWrVqMiwsTHts/vz5sm3btvfdljEbz8nJkYMHD5ajRo2St2/fNqsuc+38vgd9ec9go3Q+DJ8C83TO2eT/Y6uimRZbDSQBE82sW0opZe/evSV+dSQBvhLfWtJr5lTpNXOqXLxmtaxZs6Y8fPhwcd9zg/z4448yrHdvrUi5nap5xJ9cLvfOf0JmxO+XKTeiZbu2raSfn59s26KBTLkRLTPi9xcQN5P2bJaeM96S8/fukBePb5Dr3mstT65/RWbE75fbVr8nvevUkJ6enrJdu3bSraaL/O+/58q985+Q8SeXyyuHvpB1ferIyZMnS0B6eXnJBg0ayM8++6xE97Rr1y4ZEBAgX375ZWlvby9bt24t169fL4OCgmSNGjXk3LlzzSpjjKVLl0o3Nzfp4uIi33zzzQKD/rJly6S3t7e0s7OTbdu2lcePH5dDhw6V06dP15b5+uuv5RNPPFGseypvgSPL2NYVO4+IiJCBgYHyyJmLsv/gIfJZ6mgH/lrYyDFjxpSayPH29pan9+8sIFSUhyJwVn/7pfTxqiMtLCzkjnWrDAqcuQ4N5La27eSVNYvkxZ8Xyrj1X8k7O1fIKzPGyBFtGksHBwfZokULWauag+wTVE9emTFGXps1Ts51aCDbU136+/vL8PBwCchBgwZJDw+PEt+TausPtp1LHVsPDg6W/sOmyZEzP5PzR/fXivnu1JS1atWSp0+fLtb7ZIwlS5bIEeGDCwiVnLjzWnFze808eevSCdkk0F/6+fnJnl1DZWZMpLacrtDJvnZOxhzbK6OO/CGjj/4pk3/6WN5eM09um/WydLOzkT4+PrJNmzayjquT/KZTa3kiPEyeCA+TI/CU9ljKadOmSUD6+/tLHx8f+cMPP5TKPZaEM2fOSEtLS5mWliallHLkyJHy/fffl9WqVZPZ2dlSSimfeuopOXXq1ALX3c/nR58vvvii2D/cK1rgfAO8o3c+B6hdjPpeBP7Kf0gppfzjjz9kw4YN7/3aC6wrCW4mDybEyQlfLpQ1a9aUu3btMvqmbNmyRX7xxRdy3759Mi8vz2i5119/Xb40fZpcfu5YAa9MRvx+rYj5c9cWWbNmTZmVlSUb1veWG1Z/phU2utfov86I3y/jUlNkRvx+mRYXIU8fXCM3rP5MXty/WJ7bMlFb/+3UOPm/P/bI7j3DpLeXh7S3t5cvvPCCTE5ONs8C9Ni1a5cE5KJFi2RaWpps3bq19PLykpcuXZJnzpyRVlZWct26dUWWUX6J63LhwgXp5OQk//zzT5mcnCx79+6tHfRTU1OlnZ2dPHbsmMzKypKvv/66HDhwoFy1apVs3ry5to5+/frJ+fPnF+ueHhCBc1+2bsjOc3Jy5HPPPScdLC0lIL2xkyPwlGPxkSPxkrWwkc8++6zMysoyeL+JiYnys88+kytWrJDp6elG35fExETpVM1RZl2/bFLgPO7kJJctWyaXLVsmO4W0L+DFUcrpensMPRLOH5d/bvpFHtz+W6Fzn9jXl82oJmtiLZ2cnGRgYGCBX8LFRbX1B8/OpRFb37x5s6xbt652TP+ucxt5IjxMfuHkLztTQ7q7u8tDhw4Zvd9169bJr776Sv71118mx/RRo0bJWfMWFBA3up6cnLjzcstP38n69evLzMxMWdvDTe7bvEYrbC4n3tJ6e3QFj753587VM/JMxO9y84/fytSLx7XlFTHVD3cZZGkvHbCUDg4OcsKECWZ7LcoKd3d3uWPHDiml5gdPZGSkbNmypdyzZ4+UUkpPT0+5devWAteY8xkz9PkxxNNPPy1bt24tO3bsKDt27ChPnDhR5DUVLXDmAbN1zlnnG7BdCevW3lhGRoacMmWK/OKLL6S/v7/E0V7SopEkpLl88z/Lpa+vbwGRk5eXJ/fs2SPHjBkjsbGSODtKQFpZW8uBAwfKS5cuactmZ2fL8ePHS8eq9vI/PyzVihJFmCjPb6fGybTkWBkY2EguXbpUOjo6yr/WjNMKGaWsrkdHV+QYeuhPb+mey4jfL7d+85xsWreafOGFF4r85xti165d0tnZWTsIjBkzRr722mva866urvLrr78ussy5c+cK1f3hhx/K0aNHa18fOnRIO+jfuXNHnjp1Subm5sro6Gj51ltvyY4dO8pbt25JGxsbee3aNZmVlSWrVq0qo6KiSnRvRVHGAqfUbF3XzqWUcv369XLJkiVy6NCh0sXFRbbFWb6ItxyNtwygqhwwYECBQT0+Pl5+/vnnshpVpB/22i+NBg0ayK+//rpA3X/88YcMCAiQLZs3NShIrs0aJ8fiI+c6NJDhNu7SI99zNNLLSytoIoJD5LVZ40wKG3Mfcx0ayLH4yDF4yzY4S1ssZHR0dIn+36qtP9h2LvVsPTU1Vb7xxhty4cKF0s/PT7Zyc5GzHP3kF07+Moyask6dOvKvv/7Sls/NzZXbtm2Tzz77rPSuai8bKWM6Qg4bNkxeu3ZNW/bOnTtyxIgR0sHWWm5d9V0hcXN7zTz5hZO/PBEeJo8MeVLWsreV33//vXRycpJ/PdW90BSWvrjRFzm6Akr/tSKmFC/VYGrJGljLKVOmlJ4BlIAhQ4bIDz/8UJ4/f17WqVNHSinl1KlT5bvvvitjY2NllSpVtB4eBXM+Y4Y+P6WFuXZeVuvwzgK6SQwCgAtSyjv3W7GdnR1z587lpZde4syZM3w++xOI1OzAPPerRUSRRadOnahVqxYLFiyga9eudOzRnW9+/w3cXXGoWo0W3Toz9afv+SX6EvUCGrF7924yMjIYPHgwkcf2sG/jhwzs0YSYrAymHzvGqSyQtj6kYk8q9gCkWVTlzfdmMPeTWfRr5UTgE8/jnBmJc/72EelXt5CWcIb0q1uwvLpWuzGogsiMLnBfyrlU7A2Wq+tZnenhDfltXckDL93c3LTBWxYWFlSrVq3A+by8PLPK6BMbG4u3t7f2de3atQuc//jjj/Hx8eG5557j9OnTADg6OtKlSxc2b97Mnj17aNiwYYWtirpPyszW+/bty8svv8yqVas4fPgwKY08iOIOVRAE48Kvv/5KFQsLxo8fz5tvvomPey0WvTqNXtauZJFHdax4guoEXrjF1LHjmTBhAunp6WzatImBAwfy4dTX+HPzvSXpn/l159DA4RwaOFy7k/ml29l8ezmChs39WP/ND7jdsGDfsXjq9gii9S8rqPniW/d7m8C9PbgsEDTHiQaW9kxt2LrE9am2XuqUmZ1Xq1aNefPm8eqrr3Lu3Dn6TniN5RlxAHhjT+Mbd2jZsiW+vr4sWLCAkJAQXnlqIG6nDhP+ZDtypKSVlSNvVPXm7E+baFTHm4MHD3Lr1i169uxJ2vm/ifzybbp0CAY0K7UiJ08kcvJEfhi9jOOpmURsuUyjIV2ZM3c2Mya8zHPe7gQM7calNTuxbt+PgPkLtf31yrmufSjEWHloX8dYeRBj5VHgnPZNm7+Q+WvGA+CKNU/gwspP79VdEYSGhnLgwAG2b99Ot27dAOjatSvbtm1j//79tGzZ0mBwcUk+P+VNWQmcdcATQogn8qPvPwJ+LO1GLCwsNDsr38mC9DuQmwvurvCYP9cdqjB57mx2xlyAZg3AqgrE3+T31T8zpEt3Ph/3KiOnTISghoSNHYODgwMb9v/BDvtqHKrdmZPCh58ij7F21x9M3bSeU1n32lVEzlNhHTmx/2c+Xfg+aQlnkLY+SFsf0hLO4OgWCEBK7AlSYk8Qu28OIjO6kLAxhVJW2ZKi47BxZOVI/HzcGTFiBNevXzd1eeH6zFhlVpKVaO7u7ly9elX7Wvf5ihUriIqK4sqVK+zevZtevXppz/Xv359NmzaxadMmBgwYUOx2HxDKxdb9/PxwdXUligxyyCOHPJ6hDr1wZ9eSHzj62XJ+P3yULyN2Et3ci8ETx/LLrt85QzqxZNIHd7Yv/h53d43tfFi7Nn16dMPS0hKAQwOHc+l2Niv2xrBib4y23XoO1lSpUoXfF0xnALVwtbDmmaldSiRsjCUwNISnhQ0bsm5QQ1izbt065Ve/2ai2XuqUi51XqVKFZs2aEWeZx/XcLPyrWdPV2oW3q/rQKv4O66Z+wLhnBvHzkTPEdgrnhx2H+GnbTnpMncTi9Fga40gbqjOkbSjOzs7k7D3KytWruNt7slZo/DB6GUtWnSm0wSfAsIF92NirI5/MGANQQNgYQl/s6P8tClesuZGXg5ulNS+//HKFbMWiK3C6du0KaFbtnT59mq1btxpdsl+aq5bLijIROFLKJDRR9/8GYoAE4OOyaCs4OJj58+dTPToB9p/E/uRlQhxqgpRQ34tJy77G/moS1pl5/H3gIO3bt+ett97Cy92Dn8ZO4uDWbbSb9jp7466Cvy9k3Gb06BG0GdhTm1SwmZ8PXjb2hdpcpzaUAAAgAElEQVQ+laVJOFjVO4yPb9Zi1fUEUrGnqndYobI3Io+SlnBG69VJSzijFTyKkNH38ig4ugXi7NkUIQQ71szklx8XUt3JnqCgIGbPnk1OTk5pvqXFZtCgQaxdu5b9+/eTkpLC7Nmztefu3r1Lbm4umZmZnDhxgi+++IKcnByklPTr149du3axceNGBg0aVIF3UHLK09aXLl1KvbAOfEsMPxDLrtqSSNLob1eDH+KvcvrEcXp2foI+AwYxb948QkND+f3IAY6QSjI5dMSVZzNqMOCGPX+fMJ4Gf3iwF4vidwMaz0remb0k5S9Rvl9xY67IqZ3jQE/caE11Rg0YQpcuXTh16lSx2y1tHlVbL08779WrF++++y4fZlxl8q0LzMyN4/v06wQ1cWNH1CGGDehDl7YtiPv7D3btO0irVq344IMPsHCqyh6LG9TDgTDc+dyxAY2znbUiHjTem+OpmiX9zZxsGRO5kflrxvP88hewbt8P0Gz4CRDfcWwB74u56IocfU8PwKU1O7XPLREMpjad8mrwx5f/oVGjRixYsKBcvR8BAQFYWlpqc74B2NjY0KZNG1asWFFmOYnKg1ITOFJKXynlAZ3XG6WUdaWUVaWUI6WUWaauLylCCF577TViYmLYsGEDN27cYPr06bil59CpiiMeR85Sp2E9nGt70LRpU+113bt3p/PQwQB80qsfwaOeKVT3yetxrHn5Vd5s3t5kH1ZdT9CWj8nSCBRpe88FfSPyKAAXt31PSuwJ7XFF8BgSO0oduvWkxJ6gjocL/g18mT3rXXZv38i2Lb8ycuTICnUHNmnShE8//ZTBgwfj7+/Pk08+qT03fPhwnJyccHNz46WXXuLTTz/l/PnzLFmyBDc3N5o0aYK9vX2ZJLArKyrK1gMDA9m8eTO7du3i+vXrbN++nU5jnmFl1nV6hAbjUas2dnb29OrVS5MzCqhVqxZWCGqiyfMhEFig+eU1wT1UW/e+Y/FG202KiOCDd7fw3qwwXENCyuLWyDuzl4W77omFKghcsMYbOwZTi+xdx2ndpBnHjh0rk/bN5VGy9YqycwsLC9555x2SkpLYunUr8fHxfLXhv3x+KY5uTz3Hz+s30SgwCC+fujRq1Eh73cCBA3nc2lH72jLfwzC+drci21TETeTkiYSE+WlflzbZ+9ZTb3BnXgkP1B5zpArVsSYEFzrfsOKTyVOZMGFCsb2W90NoaCgNGzbE3d1de6xbt27k5eURHBxcbv0obe470V95oCRAKw5//vknkydPJio6mlrtWnFyw2ZiY2OpU6cOAGfOnKFjx46MWfQvDmTeYdfyrw3W02n0WH4b2E87LaVPTFYGp5ITtK+DqrsRZJPf7/wdzy9u+57Yy9E073XPNX1s06807zUAZ8+mBj0+IjO6gLhRhE/M0VV4tQgnxTYAJzK4fkfw7ODBPNE+mDlz5hTrPXoQGDt2LH5+frz1VunEchiitBL9lTUlsfPbt2+zcOFCpk+fzsQ33mLhv+bw9ttvF/AsDBo0iFO//I+OuGrFTUlYuGs2FoElH+wSrGoa3Eg078xebb26okufS9xmH8lcvn6twEBcWVBt/R4lsfVt27bxyiuvYClzadjscTas/S8pKSna5HoHDhxgwIABBF+HGtgUq+5mTprklMdTM3klPJCqi1abPc0EGuECmBRGkZMnaqe8svet1yY21CeLPH4jntc/fp+pU6ea3YdHCXPt/KEVOABZWVm8+OKLODs7M23aNDw8Crob//e//zFhwgQuNPNHVNMof3k+smAlVR2JW72xwCHFS+NlY699rhCk87lSBE5K7AluRB6lRkALnD2bal/X7zYCR7dAUmw1v+gMTU/potTn6BaoFT+nsuDUkaPMeXUiG3/bTMOGDc17cyqY7OxskpOTefzxxzl06FChYM3S5GEe9BV++ukntmzZQu/evRkyZEiBc7dv32b8+PH8/f0vtKW62XUOD/YqEI8D8N6sMLOnqCa4h2qnugwJF+XcZ37duXQ7u9B5Q2zgOr7YszvrerntP3e/qLZemJLa+q1bt3jppZfw8PDgnXfeoXr1gva8du1apk6dStuLd3Cgill1KkG/l9bs1E5PPb/8BeI7jgWMx9MookaZcqo3uDOX1uwsENvTzMlWW5f7nq/5YfQyAO00mTGq2OeyMSuR3Rciy23/ucqEKnDMZMGCBXz43XLmrVlJ7+wjRLmH0WZgT+35SbM/0k5ROZGhnY4CCPPwNVinspIK0AocxWMD96asFIGj66kxheLFUcorXqXkm8m8+cpYDh46wuLFSxg6dKhZ9VUkERERdO/enTfffJOZM2eWaVsP+6BvDklJSXjXcKcnbrhStDCo52DNpMu/c2jgcFbsjaGeg+YaZbWTMZQYG7ecRA4NHM6+Y/FGxcvwYC+T5w1xilucJR1bLIm8lYCjo2PRF1Uwqq0Xpixt/b333uOnWZ/SBfPivd5KPAmgFSBKPI5u/I0hkaMIHMCoNwY0IickzI+ILZeLFDYK6dzleJUULt69w9pNG+nZs2fRFz1CqALHTBISEvD39+f5dSv56LHHcOilMaROo8fybPt2WhETk5VRwGNzKjmBMA9f7XGlDJj24sRevhdj4+nnQ/1uI7RTVPorrPS9Ncq0lf50meL5OXnqDAMHD2PKm2/z6quvYmFhgZSSpKQk4uPjsba2pn79+pUi+r00UQd9DaNGjeLid+sJxDxRMDzYi9a/rCBx6RyzvTa6AsfUdNP9kIckgpskks2x2MvaaefMzEyuX7/OzZs38ff3x8HBoUzaf5BRbR3OnTtHq0ZBPE0ds8rPXzNeK2jc93yt9dzoYkrgKEvNTaE7BVYc4snifySwaNlSRo0apfx/SUxMJCEhAXt7e+rWrauO6cbKPeoCJysrC1dXVz7Yuo5xTRvTaMHn1Pfx4ZNe/QoIF0OrqJzIMCo2DJF+dQvvjn2Zmxl5tPLRBIGGdHycx56Zqy0Tc3SVdhrr2KZfAbSxOsrSc10Pjn7OnKsx/zBk+GucvxSDqx3YOdhxNTETH083bmdkcjc3j85dw+jRowd9+/Yt5OJ9GFEHfQ3vvvsu6z5cSDAuRZbVFTcrP9lRpOdGnwnuodRzsC6Wd6Y4SCRHSeUYt7DFAmesuEYmDlhijQW3uIsr1ox5Zwr9+/enRYsWj8SXgGrrmmksFxcXRuTWoYqJmDPFs6IbFwMUEjimYnEiJ080uNy8KIojeJLJYRuJpHOX6liRgySNuzhShSzyEMCAZ4fRs2dPevXqVSgfzcOIKnDM5JdffuGdWR/w7dZNNLXTLCrTFy26cTb6QseJjEIBwUodurE6TmRoBU6XFu54+vkQsecIlxJzmfX1F1rxEnP0XiK/Y5t+5b8R/wDwVEgtmvcagFeLcIBC7ennzLmVlsHRA39y6q9j9OnfCZ+A1kgpuXrtBnsPn+X33cfZe/g8rVo05tOFS2nWrFkJ3r3KgTroa3ASVjyBC57YGS2jG0icd2Yvn/d+v9jipjgxNfdLXv5gn0wO1lhQG80XRw55xJPFNTK5TAZ5SN7+aBZvvvlmgWXDDxuqrcPy5cv517hX6XjX+BSVEkgMGgGTvW+91ovjlXNdOz2ln8xPF6+c63wT0KfYXhmF4np1ssglmRxucZe62GOFBRLJLe5yjUyiucM/ZFILW34/+zf+/v4l6ldlwFw7Ny8K6yGmSZMmJCUkaH/dicxoYsQ98WDKc6N4T/SnjTTCpqAnR2RGs/vr9+nSwp3QsTMAiL0cTUhHTVuKMFE8NWkJZ2jeCzz9jmrrUGJ3NGUoMHUF91ZYATi6QTVHezz5BydHzQcp9dpJfDyb4uNZk6cHPIGFQ11+/nUbXbuE8vmiLxg2bFhJ3kKVSkKXAX1I/fVPs8uXRNwA9yVulNgfgMSlc7QZlY1hgcAJK5ywKnDcCgs8scMTO1rjzE1yWPT2+/z555+sXLnykfBcPqo0adKEW3l3zS6vG0sDGM1CrIsiikoqbgBCwvyoN7gzcC/A2VR9NljigSW6PRI69h+II9nkcY50mjcK5OcN6+jTp0+J+/cwUFaZjCsN9evXR+bcJf7aNUAjGk4lJxRY+q2IHMUTAwWnohRvjf6KKi8be4MCScHTz4caAS20uXEUL46Cs2dT6ncbQY2AFtqHIoAMBSYr4kaXGgEtuBF5tED+HQV710aMeGECm/67iOlvT2PatGlG+6pS+QkODsb/pae0r4cHe2mfvzcrjPdmhWkT+k1wDy2RuCnNuJuaL77Fwl2zC+THKQkCgSvW9MKdmC0RtGrVikuXLpVSL1UeNFq0aEGyjSVZaHKDzV8zXpt35pXwQBbHbdNOS7nv0aQHMSeoWJfIyRNNBhYXheK9UdoOmL+QMZEbC+THKQnWWNCEavTAjWF9B/DJJ5/cV32VnUfeg5OYmEhWdhZN6ngDeQU8MbriRFfcKOh6cU4lJxBU3a3Qdbpenj7vri4QcLzg3weAAzwVUovQsZokhIr3Rve5s+e9BIVVvcMw5dhVrtX2u0V4gWmt9KtbtHXL/HsIerwLf+xqQat2nalXrx7Dhw/HxqZ4eSRUHnzOnj3L6WVraUo16jlY0/LDcazoNJ3hwV64hoRgERhM3pm9BZZ3F4U5XpbicOl2doG8OPeTd0cfy/w9vA5fusH48eP517/+RePGjUutfpUHg6ioKLiThVV+/I11+34EtO/HK0yk3uDOWiFjStwY8tykTxhq9kqoZk62JssdT80khHt5c5SpsXqDO0MJYnr0cceGgdRi5rTp+Pj48NRTT1GlyqP3df/o3bEeN27cwNLCkk3r1zNqqMadF+bhmz8NdQ9DAcVwz3sTVN1NK4L0g38VpK0PVb19tFsvuKw5xM2MPDz9fAp4ZRzd7l2j69UxtZxcV9joBiOn6E2deXkPwomMAiIpFXtcXGD2p58y/5M5XLt2jRkzZhhtS6VysnvZj6SRS2McuXQ7m4mdpgPcCybu/T6AWeJGWT5e2tRzsC5VUWOIplTjwNYIWm1tSkJaqsGNBFUqL0lJSVgIuCrv4Is93wRoxvUxkRuJsfIgfcJQ7dSQIjB0RY2+2FGuL+50VFEiR+lDWWGPJcFU55WnnycxMZFXX321TNt7EHnkp6g8PT1xcXHBzs7O4Ioo5SEyow2KFl0PTkzWPRFkLPMxKEInjM9+3c1rz7WlfrcRhc4behhDWU6uP8Wl2wcnMrQC7FSW5typLNhyPUo7tRbeuzMrv/+CxYsXc/eu+XPYKpWDlz6dhUQaXVdy6XY2r/5mWthOcA9lgntomYgbpQ+gWW5enM05i4MNFnTEFQ9sWblyZZm0oVJx+Pn54VTLw+gKqogtl7W7hEPh3b9BI2zSJwxlfO1uHE/NvO9AYkPoe2/KggZUJRRXPvvss3Ld+uFB4ZEXOK+99hptgoPp2bev9pgiWlKx1z6UQGLdWBtF0ATZoPXgGEO3LkV4pNgG0Hz0aq0wMbXTuCnBpLvVgzKtlZZwBufMyAIbeCp/FaHjZWOvnVZLv7qF9KtbaOhZBV9fX/744w/jb5pKpePUqVNMf30KXahhcrsGxatjiLLKa1NR1MeetWvXVnQ3VEoRKSVjx46lZly60dWCStI9BX1x4ZVznfG1uxVr+bcxIVOUMNIXVmWxB1ZNrLGwsKjwfdwqgkd2mfi2bdtYu3Ytm7dsYce+vVTVyYiqeGyULRRMYWzqSve8gr5HxRCGlpwbul6/DuU6Y8kCwfQUV+w+zT5Wzp5NWb4xnmvXrrF4ccmD6B4kHuWlsykpKXz++ecsmDGLplQjwECSv/dmhbHykx0FVj+9N6vg/milGWdTFMb2vCptgZVDHv91TCEqKgoXl6JzA1UGHmVb37hxI2vXruX3FT/RK88Dy3whr4iP55e/AKDdLkH3mC73EzxcHPSXqiuY2qeqpFSbMgQbGxtmzZpVqvVWFGoeHBNER0fz+OOP89LEiXTvGUb9Bg0KnNcXJboeHf3zuscNUdT+Uvro7yauj6E+6G7hYEjgpMSewKtFuEmBk351i3al1eXYZEbP2E5MTAwWFpXfyfcoD/qjRo1i13erqIcD9bBH3Mdmm+WJIrpe/W2GWRtxlpT/kcD7P3zFc889V+p1VwSPqq2fPn2aTp060SENmls5EpuWCxT0rISE+QEU8N4o3M9y7/vhlfBAAuYvLLARZ0mTB5oinizOB7pw+vTpUq23ojDXziv/t1cJOHbsGD6N/Okz7gWj4kYRErr7Sumf03+ujzFxU1R8jqmYGycyCvSpJOhOk+k+d/Zsyo3Io/h5VsfRHubOncuNGzfuqy2ViiMnJ4f13/2Hx3CiPg4IhHY5+IPOB+9uKeBRMkfclGQ5eV3seeP5Mezfv7/Y16o8OBw+fJjayXeokWlPbFouzZxsWRy3TStqisJUrMz90szJtsBDlyWrzjC+djfta3PEzSvhgcVeTu6GNdFnzrFkyRJSUlKKdW1l5pETOMnJyQwaNAg//4bawGAFQwLGkFdEv4zutcpzQ14eXTGhIDKjtQ/dcsVBXxDpiyTdZebG6q7qHYajW6A2b878mSPY9ttKXnzxxWL1ReXBYdKkSWSSh3X+x1xZDm7uvlIPAhM7TTdL3Cirr5RNQc3FDwe8sSO0fTDnzp0rYS9VKpLo6GhGjhxJbUtNagtlB+8YK48CK5UitlzWem90hY+5IqgkmCucFKFjjuem3uDOxV6B1dzJjhccarNw4hRef/31Yl1bmSlTgSOEeFIIcUEIcVsI8bMQwlEIYSGE+FEIkSSEKNd3OiYmhkmTJlGzZg3mvT2ZMA9fbWBwUQJF95yCMn2lG8SrL5LMFSympo+MCSNz6jG0ukoX/XtVkgvWd73NgGaCswc3F9n3R50Hzc7v3r3Lf/7zH77/4mua4IgzVtRzsKb1LyuAhy9YGDSrrya4hxY7i3IVBC1xxt3Cmps3b5ZR7x4eHjRbv3z5Mm+88QZVsaRWlmaMDAnzw7p9P9InDC0Qb2MMQ1NWZUVpTIVNHry42DE6IWF+jO4TRCeb6uz89qf77kNlocwEjhCiOvATMAXwBAQwC+gGRAJeQCchRLkkoQgPD6dJkyY4urhw7K8/sanpbbSsvqDQ34pBd/m4seuVv7qrrozlxtEVJUXF7JgKQtZt2xhF9d3RLZCU2BNk5+Sy+kAqPYa+bLK+R50Hzc63bNmCr68vbwx/gW7UoDlOAEy6/DuJS+eYXCX1qBJNBtk1nfH19a3orjzQPEi2npubS69evQis14Ara7YxhNpYYcH8NeMJmL+Q7H3rTQoX/XNlEYNjKP7H3OsMTWfdDxFbLrNz80XWZyQx6oNHJ2N9WSb66wsclVKuAxBCfAJsArYClvltCzCZmLfU2L17N0s3b8C3QQPy9HYJ118JZWh6KSYrAwxkM9Yto3utUrfu0nHdDTh16zIknhREZjROOntOKeJGd+rMlOBR0KymMl1WqbNa7SDGTJyHrY0Vc+fONVpeBXjA7Pzs2bM4XEuhEwWXnx4aOJx9x+LLowuViutkspsk9mzYT61atSq6Ow86D4ytCyHYuXMnQ6iNPZrNU5s52XJpzU7qcW+llCHhoi8czBU3RSXuM4W5GZCL0x9zaeZkS66UfJMRhxNVmD790fmRU5ZTVE2Bv3VenwLcgX1AAHAF+F1KebsM+wDArl27sLC24s/byfwUeYwt16PYcj3K4PYLUNiDo+SMMVRGSZqnexyM71ulL3j0PS66r0VmNGkJZwrE6OieM/RcEWtKPboeIqUuY20rpN/OZO/f17DPSuDZNg5s27aNEydOkJiYaLD8I84DY+d5eXl8MnmqdkdthUXxu6nbI6jcdviuTFzlDi4WVrzRJox169axf/9+Ll++THa2+l4Z4IGx9fXr11M9O4821e6NYWMiN1J10WourdkJ3BMKhgSN7sNc7kd4FHWtOd6aknp0jqdmkiZzuXg3A0eq0M3Sne3bt3Py5EmSkpJKVGdlocyWiQshvgGipZQf6hzLAXyklHFmXP8ioES4Pn4/wa5nz57FuUYNcmw1Ow7bVdEEIjpZmQ5ItMzfrE0htwR6UKlD/1pL8rTH9J9rkdkgTPfR4HW6SM1AnZEUi201VwAsrOzIFZoPi6XMLNiGzCYv5w6309NIuplGbq4kI+suQghyciWBgYFYW2sSRyk7sD/oLF26tMyWzj5Idp6SkkL0pcs46+2s7d3Mn9sXr5CkChyD3CGXXCR5SCSQJ8CpenXq1q3L3bt3K9UePo+KrZ86dQqnnDxshQUZuZrvMO+mDQG4cfqC9hiAvaXm7dA9Vl4obSsY64N+OXOuKW4/sqUkJe+uxsaRWFgIsvLyaNq0KUIILC0tH7oxvSwFzjwgW0o5Pf+1NZAF2Esp7xSzrhLnTLh48SKtW7Xi2MULbE+6VuBcmIevyWt1p5CKSuinlDdURve4scR/xtrWR78eY3lxlPw3AMc2/UpUzA18vWrQvNcAoODO4ym2AZr9tGwKeoNijq7iRuRRagS04NimX5m9KYV6rrDnchVycnLo2LEjYWFh9O3bF09PTxPvTMVSlrlBHhQ7z8vLY9iwYVz7eRtBVCtwbniwV5ltrfCwUc/BGryt+PLcZXLzBAm2Ej8/P8LCwujVqxcdOnTA0tKyortplEfB1o8cOULHlm2YW60eT/SsR8SWywUS9ulPTymej4rIdWPudJgp70xZ3EczJ1tCwvx48ucd1M6z46ImVI/OnTtrx3R3d/f7bqeseBDy4JwFgnReBwAXivtBuB/++ecfmjVrxuuTx1PDKoeg6m4FHvroTymZmsbRjbXRfW0IY+JGibdRApF1l6zrljO2xFyp01DSP2VDzxuRR4mK0eSyUf6CZroq5ugqg/1VprWcPZtSI6AFXi3CCR07A0dnZ3acyWBiaBUOb/mQ2p1DWLzhFxo0DqRbt26sWLGC9PR0o+/DQ0qF2znASy+9xPaff8UPhwLHhwd7qbE3xeTilVSu5GVijyXPZrrhf+Ymez5dxpDOPfDx8eGtt956aBKmFZMKt/Vz587RsWNHWuBk0NugTE9BQUHwIIgb3eO654ojbkqL46mZRGy5jJWwIJJ0Xsp15u28GrT65xK/fjiDBl6e9OrVi9WrV3PnTrkOZaVKWfpe1wHzhBBPoJmr/Qj4sQzbK4SLiwt5eXmMe3FkgeO6S8NNeVEUweGlE5SsvNYKFBugmNmK9QnSpG8wmilZH/1+K4n/9FdkKbuS9x83BmfPpnz/zgSObfoVTz+NeFHy4yj3cc/zc0/4OHs2JeboKjzbv8X06Rl4ebpTr64XJ4UP9rnHePLxphw9d5HOFjZ8+t0yXpkwgRdGjeJf//rXQ5EF2Qwq3M4BnJ2dqYeDNuBSpWRcup2Np70tw2w8cMyyRiBwwwY3bHgcZ5KvZfP73K/4et586rdoxrfffkvTpk2LrvjhoMJtvWbNmlhYWBCA+Qu1TAUHlzTg2Bx0xYkpoXI8NbNYAqY0PTl9bFypZWlD317+2mPOkVnM6BfEtDUHmfn7bkblZvLGu+8wc+bMSjOFpVBmAkdKmSSEeB74N1AT+C/wcVm1ZwgbGxt8fX05e+4CjzVvanIzTH3vjROaVVO6x+6tuNKgu42D8tpYveZgqqyuqNEPgNZdUaXbp5ijq3jsGc0qKGnrQ0jHx4nYc0Rz4bbvAajfbYRWCCk4ezYlJfYENyKPsu6rbzgcncPsj8G1w1tkACfzyzXxqK2Z5mvenmd++YnjNhJ6duKPiAg++OADZs6cafa9V1YeBDsHCAgIYA0FY2zqOVhTt0eQ6sEpJtcy7lING4PnqmNNG6xpJZ05d+QKffv25eDBgw+0O7+0eBBs3cXFBXt7e9LS7mq+4POXe1u372d0abgpIVBccWEKY0JK95j+eV2xYo4nR/ea0qCxVVWtN0e3reNrztOQqjzlUIPkvBw+/eBjXFxcmDhxYqm1XR481HtRXbhwgYYNG7L9f+uY/fGnjJkwiXpPtAMwKHaMxcoYwlgsjCFM7V1VnHaKc50uivixc2vLvgUdAIi9HE1UzA36jxuDV4tw0hI0GTQVYVO/2wgA3h37Ms8Pbk3d0Rt55hdNgqhPevXTep1i980hwm8kM3/SeH0GderAU44edA1uR2TkOXbs2MGtW7fo2rUrjRs3rpBfAI/C/jyDBw/m2NoteGPHZTJ4kpoIhBp/U8b8TiLj5sygZcuWHDx4kKCgIEJDQ3F0LLypaXnwsNv64cOHadeuHVPsPPnvnQSCcp140snJ4EaaUH5xN8X1BBkrr3tcV/ToCyCl/FcyinHCt6TdNotmTrZE3b3D4tvXOHnpPNu3byc7O5uuXbvi7+//QI/pD7XAkVKyePFipkyZgotLdfwDGzPnJ002V2P5b0oqIsB8D46pbR6MlTWWM8cU+nlydOs6tnwoEXuO4OtVA08/H+p3G6ENSlYCiwHWffUNACM+XMRv1o9r4pfyp7OUIOR3qj+tbXNVS2t2Rpxk2Euf4eriSEjrRtiKO+zaG4mlgxvdunWjW7duNG3alJycHLKyssjKyiIgIAAPj4K5W0qLh33QB00wfXh4OKeP/E0ekj540MahKs9M7VKuO4E/aqwhjmRyqIE1bthg42TBmbR0Wga3p3v37nTq1AkHBwetndva2tKqVasy+1J42G09Ly+POXPm8N706bjYWuN915pvB4Voty4wlblYf8pI969y3pCIMIW5XpeirjcnX09x6y5NLnKbHdzAHkuCrByo41mN/fE3sHKtSbdu3ejevTsBAQFkZ2eTnZ1NVlYWTZo0oUaNGmXSH1Xg6HD27Fl69+rJq2++SduB/YDCcS9w/wJHoSgvkDkroYqq2xj6K7/Sr26hqnfBzRVFZjQbZw0ldOwMQOO1UaalFJSVVyEdH2fBvw/gYm/B6++O40bk0QJ1PfbMXE6K/D2vjszhRuRR3Iet5iFNXpEAACAASURBVPCFc6TXdOLp2h5aMRU69l127zvNpvVbOHnxJrXr1MShuhcWubf4+8QFpr0zkzfeeAMHh4KBsvfLwz7oK2RnZ/P+++/z9UfzGEAtGjrY0L65u+rBKUNSyMEOS2zy12vUc7DmsSY1WPV3NOmucCz1FrlIrITAysKCW1XA3dGBRf9dT6tWrUq9P4+Krf/99990frw14XbufPrvSdrjhgSOOfE3xqaITF1rSBAVpw5D/TBESYRXaeNfzZqUvBzcLawRQhAS5oeUkqi02+y/foN9129w7fYdHF2dsKlSheybt7hyK51psz7k1Vdfxda2dIOkVYGTT3p6OsOHD6eKpeT75V9wOlsUSMJnLI6mpOLGHIpamaXbL/0pKv2/xurRFTi6e1Epy8cVL40ibJS/xzb9SvNeAwoImdjL95aOR8Xc4FJiLvVqWhaY3rqoE9OT6z1IG5AdZAPHlg8FoO7ojYAmKHrRi13oP24Mnu3fIv3qFk4dieDLjTfZf+AvZs2axfPPP19qQcqPyqC/YcMGRo8eTecb1rR0cFDFTQWgu9ln++YF43Lq9ggiNy+Pn/8+x7wdh+nadwAfffQR3t7Gt40pLo+CrScnJzNkyBCy/viLYXbu2umpS2t2FmsLBn3viSlxoh9fY0jgFFXX/aDvadLth/6x0sTUfRjafkJ3E9ALcYm8t+kIJ85d4pNPPmHIkCGl5rk0184rTwarEnDx4kX69u1N65YtmP+v2QghCsXe6AuZihA25pzXDzAuqi7Lq2vRXbCtTFNV9db8vRF5lBuRR7WrqRTRo9B89GoA0q9uoUb+udjL0VxKzOX1d8cB+cHItgHEuPvw2DOB2jge58xInNGIqXTuCRvdvoR0fLzALudBj4fw+YBBHP3rLz6Y9jYbNmxg5cqV2NsXb2f1RxEpJa93bsWqo2cZml2du+pKqgqjQLboY/GFRI6lhQXDHg+gb1B9Pvr+d1q1asXq1asJDQ0t345WUk6dOkXfrh3p2bIxo/q3wSr/R5AhcVMU9yMUivLslCR42ZhgKgsRU9JtJ0wJOP0dzhvUrsna775kz76DTP7gIzZt2sSyZcuwtjadvLY0eajX8Y4cOZKB4U+zZNG/sLW1NSoKzN3xu7QwtdmlsbL61xjKmaOU182F4+gWqN0sVLlHR7dA6ncboY2zAc2UVP1uI/D088GrRbi2fFXvMJw9mxJ7ORpPPx9ef3cczp5N8Wz/Fh/frMXcY/s4lZxAim0AUe5hRLmHcVL4aD1FUe5hzD22jy3Xo7RtpV/dQvPRq4lyDyN23xztccura6l+/H36uZ8kKfJ3mvtVV7eHMIPNmzez8dQltrw0CB9LO60XQfXeFI/3ZoUxPNirTOqu20OTPsY1JATXkBAcbKyYPbYXi3u14anePfnxx3LPLFDpkFISHh7O5P6dGOtYtUhxY0qEmJujpqi6TGEo/445HiX9sqXtFXolPJAxkRsL1dfMyZZXwgMLHdf31CjnjQlK3VxE2fvW047r/PnLClIT4ujZsyepqakGrysLHlqBc+TIEa5evcrY8a88sGv3jYkXYwJIdzrN2CowBUc3jUdFd/8pRRSdFD7auJyU2BNc3PY9UTE32P31+9TvNgJp61OoD817DaD56NXaDMiNFnzOZx9/zMIfVhBU3Q3Lq2s5lZzA1E3r+SnyGFW9w/Bs/xankhM4rjPFpXsvp5ITcPZsSq73IKp6h+HoFshjz8ylvk9Ntu7ZTvsm7rRq3oAzZ84U+719lFiwYAFPV3ejZlV72jd3L+Q1UDGPmi++RcsPx5VpG0kREQVe1z6fzPwGjXjl2ef56KOPyMnJKdP2KzM7duzAwsKCkV3bFPIWlATli9qQcDAmdMxN0KeLsX2vDB03VtZUX4rrLQqYv5AuP14jJMyvwM7lYyI3EjB/ocGpJ+WYkgFZ95g+9QZ3xrp9P+0DoMqx3/nPqO7UvHqBkJAQLl8unretpDy0MTgHDx5k6NChHPtrTwGXmKkYm+Kubrrf6azi5s0xZ8sI5XolaZ8iZHRXVCn1xO6bUyCY+LFn5pJiG1CgD+lXNStwlLgaLxv7At6YMA9f0vbNwLP9W6SiORdU3Y0mMlrblnKdIrCayHt9O5UFp5ITCKruhm+8pq2q3mFMP3aMjxpV57v/bGDG/9k78/CoqvOPf04gYd8hASFsARREQKUuEATFBbQtLrSCaNWiqFXAqigquKOgrbutUrEqdesPLa5QCygacEMECZuQQAhLEghrEgiBnN8fM3c4c3PvnXtnJsnMcD7PM08ydznLnTP3fuc973nfx1+h18m9ueCCC2jatCknnXQSF154oZtL7Ot7gvslDBkyhCta1+GKfr5cPJvmZwPaguMVI+pzTunhgBUs0gSlGY1SGNAvLWDBsWLT/Gx2lpfz6IZf2Fa/Pr///e/p2LEjTZs2ZeTIkbRs2dJ1fYk81ufPn8/dd9/N0qlXk5SUFGQpsLMmOK1O8ioMvFpSoj2lZG6DuhLMK0/PuY03xr5qKVJeevfYD8pbR/UKXFvzlJ6dD44hasBnwTFIGTCCNX+ewLz6yTz58RJOP/10hgwZQuPGjenbty+DBw923X7tZAxcdNFFnH/xxVx9/XWAuzg3blZRRWOllV25bssL5aisCpx9NAyKdqxiCJgmqb3YW79nUBn7aEidLe8DwQIHfNag7D1FZOb+kyYDHg6IHkPcqHVllwdHjzbKViNDG+0z8mKl12vIplm/4dQxT1Ke1I558xfw4/IVlJWVMW/efP502+1MmjTJ1bVK5Js+wKJFi7jpxrGsmPkwKx78R2C7FjjhoToKQ2Qix43AgWOidMvBgywu3sXeigpWF+7jcEZ7li5dSqtWrVzVl8hjXUrJmWeeyR03XM1vWx0mZ84iMkaeF7bQAW/TPm6C8YWztDuUSHGKhOxmlZfTMVYiJWtebuBcY79Z5LgROIa4Ud8bourQkaOs6dCGr/77DQePHGXexm08+crfuPHGG22vg4oWOMA//vEPXp/9JnM++QTwtgzbSQxV90orK6Fjt5pKxSonlYFquVGPMRyDgSBrjyFOti6dQfMOfQLWFnVqzEjQmV1+rB5VrKj1mn2GDKuN8T/AqLapgb4eWPogu9YuD1iV1FVZG3NyOX/Y5RQWFLiafkzkmz5ARUUFJ7Rvzz/f/j8u6tOJ7y+/BiAQwdiwSERqjUh0zMLGwHzdvFxLo8wxk4e6Or5VZmZgGmvT/GyeataIS383iuuuu87V+Yk+1mfMmMG3ixfyf7NeCrIOGBhiJxyLTrQId7m4ipsVXnZ1uy3fborJjPlaZg7vGthmLsNK4BgYn42VleeHX7Zw06xPWLfR3dRVLCTbrHVmzJjByaecQmVlJRB65ZFBOAH+rMp2SpLpVJZTmVbta0YZzQ+tRRzKC5qKMl5qUk21TFnf54tj+L8Y+/fW74k4lEfJlnkBcQNV/X7U7OPp9RrSu96x1BGyfif21u/p2HejvFUF2/nX0m+4f8UKSrbM48BSX3weI5qymW4ZXWnUqBHZ2dm2ZR9PvP766xw9epS27U6gKLkNZ3wwm6X+FTxjJg8NPGTtHuDHIxmNUkJej5zSw5ZCxotQtDrWsNaYaZWZGfS+y7DeDDtvMAsWLHBdXyJTWVnJU089Rd+TeyKlDHpImnH78I62uHEqU/V3CSf3VDjH9m1Wn6fn3Mato3oFbXN7fZywKkO1pjl9PmZO79aBXUWF5OdH1+qc0ALnzTffZMUPyxg57EIKduxwdY5hGVGzfTuhPsDdLPP2Sih/G3P7VIuMQfMOfapYdMwYFhvV0mKswoJgi5Bar6zfydLh2dzuKuKoRSrN8E1FrczNY2NeHitz8zja8QrSTxtFhwH30Ljj8MC0WXq9hoEyxKE8hg7J1Dd+P6NGjeKmceO48JyzePdfbwLBFgPtdGyNcV1UsaM6adsJQzfiyIydqDEwi5vA9nc+YMGCBcSDpb26SUpK4r333uOD/37BxaP/SPHuPVUeoqGcj0M5CWcO7xqVh3+khLvUXMV87q2jenHrqF62/bOzehnXRL02TtfI7HdjkDHyvCoWHuPYTR98Sf/mTVm4cKGLnrknoQXOgAED+Pbbb/n1by5lxAUXsmrlyiqCJJwl4sYD3s5qo/51wk1UYjX5p1NOK7NvjWHNEYfyAkvFzWWoxxgYVhijTKNcWb8T+eVl5JeX2Yo6q+up1mdYeYyXMXU1/ZJjX4InVywNWH7M16f5obUBn6Hzzj2Hzz//3PH6HS80adKEJ554gqVLlvDy809z31Mv0XLsXYDvwdplWG8G9EvTU1Q2uFl5ZiV2whE5m+Zns3RFYeB/qCpujPeb5mezed0+GjduzKpVq6qUdzwydOhQfvrpJ047ayADR1zFug05VY7JGHmeY0wcKwuKWdjUhtDxatkxY7X6ygte+5s1LzfopWIIF/M0lSp4jP+N6NNntW0d9Xt6QvvgqMyZM4db/vQnvlv1M20bSNsVTF79a7yII9V/xjjXy3RYKN8cc+4pVbhYCaADRWuCohybMZ/jpq9uVnmp+w2L0eRPj30Rpl8ywjIgo9rm3Qeb0aNXf/bv30+dOs6B7RLdL0GluLiYSy65hDGXXcK4M7uybMrLdBnWO/Bg1SKnKkbsm6WmwHzmFVUqXn1wzKj1WC1NL87KCgigN0/uRc+ePbn99turHGfmeBrrs2bN4rGHH2Ld0v9x9LtPgvaFE/gP7B/yVj4nWfNyqzjhhoObVAxefHDs0kcYEZ8heCopHKz8cgzcLOFXrThGW7aWlPHHZevZ4WK2RUcyNjFy5Ehee+01Pnz/fUZdfXXIRJtuhY5VPimn5d/meDcqTquzVMuQVRn7aEgzkyBRBYoqdgyRYIgb83FmYaPWZV795HSc1bWwm7q6eoAvy7vheKz2Te1P446dkMCmrdtp3bp1SHFzvNGqVStmzJjBTTeOZdy1n9Nl2LEH5YB+aeTolVW2mMUNUGW5uJ0Fx63gsVpRVZyVFbDamOPkABQVFelIxxaMHTuWV199lU8+X8SI4SMsnY7NgiVcIeJ1WifauJ2uqg6fIiec/HCchI76WRkr4XaXHyYtLbrT6ceNwAG4++67GTNmDBcOPJ1mXY75nBiJN92KCq+Ek+vKqU6zFchNHapoaZJadZtRpp24AZ/4aVa/E9gIG3Pdbi0+4FtBZRxvFaXZWKll5BH7eckXnHPOOSHLPx4555xzaNUmjUfuuYtbu/tuGIYVR6+mqoohZpxQhY7hg2Nn3TGjCqcuw3rb+ttYUSklX3/9NS+88ILrc44nJk+ezO23384Zp/XFWEifMmAEGdVcb7SFjZcIx17LM8RRpFYbFafpLFXYWDkaWwlRgB+LdnPOOe7jm7khoX1wzAwZMoR77rmHa/94C1JKmnFM3JjxGuvG7C9jLsuNr4/ZR8auDWZxY1eWHapvjepQ7dRWY3WVXVsMrPx0QmGuz7DqqG0x/HaM+rKWfsegQYNc13E8IYTggw8+4O2vfiK75yDO+GB2YF80HI7DcbKNZQzBZ+eLowpCLz44RgwcA6dYOMVZWUHLww2r2wtLc2natCkdOnRw0ZPjjxEjRnDdddcx9vbJgci5dg9Q8O5nUt3lQNXVVdH2w7GKheMlErTbYw0n4nD53+qtUb+nR03gCCG+FkKcpby/SAixQQhRKoT4txCiiX97khDibSFEsRDizmjV75bbbruNg4cOs3DRYl87/VM3hvNquFg514Zr9TGLHDsRYle/Vb1GP82rqdTAgGbcCKhwRZbdfierleEQLcs2sWRJVq1ZcOJhrKelpfHQQw8x/dmXAJ/japdhvekyrHe15VtKJOxEjVuuGZjOmMlD6f/YzYHrDtarpaympcBnWdpOuR7nIbj33ntZl5vHspXuHLENcWJlNXFrmTH8b9w6I5sdmM37vJTlhCqQzCvGwrU6hbL8mFdHGbix3uTMWUTOnEUs/iyH3KMHY0/g+Af9y0Cmsq0F8A4wCegACOBR/+4LgLVAOnCuEKJxpG3wQlJSEpMnT+aZ52cCPmtGyZZ5HO14he1SaJVQlhir4HteHJbNYiZcrNpp51+jTk051WsVf8f8Xl3OHY5AchKJRhuffPYN0jtmcOKJJ9qWXx3E21i/6qqryNmyle9//KnKvkgsMHbxYeIZs+XmmoHprq1dkVwLO3ED0K1nc3LapnD99deHXX44xNs4T0lJ4a677uKpf7zle+9/sHpZMu6VcISI22XWECxUzNNNdphTKdgl+jRfl2jk9QL7qSc3+39od5hzLx5O27Zto9IWg2j44GT6yylRtv0WWC6lnAsghJgOfArcju+LUcd/jgBqfBnXqFGjeOCBB1j4fTb9zziD5qm92OuxDCtnX7vl014iKNu9V7c5+bfYbXfyrXHbLjfCy63vjdfVZwYf/m8NM1//gB+Xr6yNJKpxNdaTk5OZNGkSM57/O++/MZNWHHugDuiXBgm0qsqwSs1ekh/0fzhYCRtjmxt/HdVCZlxvL5YbgNIjR7h/3Vom3Hefpxw9USKuxjnADTfcwLRp0/hi0z7O7dIs5PFqNF51GwSvjnKDXVTfqDg0m8pQA/bBMQddq7pUAZc5vGuVslRho6a8MLa78dkxiyO7KMZO4ubD3K0s2FrIqqU/hqzPKxFbcKSUU6WUNwDFyuY+gPqzMRtI8yv7z4GewCbgcyllaaRt8Ipx4//H8z7HPSNGzIGiNZ6mqpysNepfJ7GinlsTeHH89XK+nV+O2WHYzqJlbFdf5vrmfvgpE2+/i08+nc8JJ5wQsh/RJh7H+h//+Ee+/+lnVq/7haReA4FjviBuLRTR9rdRY8pkNErhmoHpgVc4XDMwPTANlNEoJTAtFKoNRn1W/TPKM18j83s7gRiqfgNzAMBN87MpOXKEO9asZsg113DPPfe4KieaxOM4b9iwIRMmTOCtmS+Sn9zWlRXHTsR4tc44lWOedjKmczJGnudqSso8faWer/bNyAxuZeFRrUahrDXRsua4jWL8n9x8Xlj1Cwt++NFTUlm3VNcqqqZAYL5HSlkuhDgCNJVSlgBXhipACDEOGFdN7eP666/nscceY/PP39O3z7Gb0d6tPwcC41lhZamxcip2epB7CQZohd0SbDfnReM4t1NoVuLGqny766e+X/DBu9x1933M/3whp556asi6a5CIxnp1j/OGDRsyceJEpj/7ErNffi6Q68i8qsppdZWTlcfrqiyrgHmqGMhwaVWyy/Y9oF8ay6a87GhpUZ1/QyXDdBIqVu3MaJRieY7qQGzstxI3C3/azquHtjHiTzfy/PPP14aV0o6Yv6ffeuutdOvWjetvu4P09g1cnVOTwfyc8jSBvSUoXIxyDOtMtMWN1fF2lhqr+p+c8QZ/z97AVz+trDZ3g5AWHCHEfUKIIxavWQ6n7QUaKGWk4BNTe9w2TEo5U0rZX0rZ3+05XmjQoAH33Xcfjz7+TGBbk9ReNO/QJyh3kxNWzsDG9kgtJaEIR6y49QcKZ0rNap/qjxOqLicn6blz3ueue6by+f8WVau4qY2xXt3jHGD8+PF8ufQ7vli3g119Lw1Ml6gWinCdakOJEXXFlSGGnHx43EYUVpm9JJ+3pvtCvBviwU58mFc2jZk8NCD27HBrjQH79qsro9T/VfZXVDDz0DYuH39ztYqbRL2nN2/enIkTJ/Ly41OqWHFCRTe2w+05XkSJnQiwCxqoCgPztJFVclHVMmScGy3LjB3GCja7aS1z/bM+/4aXszeStXJVtfpShhQ4UsrHpZR1LV5jHU5bB6h3hZ7ABinlwUgbHE3GjRvHunXr+Drrm8C2vVt/BpxXVVlNx9ilUnDyrQnXghMruBVx4Qg549rtzMlm6qS7WLBgIX379g2nma5J1LHeuHFj7r//fp54xJfEdFffSwP73KyqCmdZuPkcs7BQnXgNceKmPWMmDw2sUFLzbeWUHuat6Qt5a/pCW98bVVipK5uM926xEzEZjVICaRjA53djiEkni5IheO77cTUjbh7LM888U62Wm0Qd5wB//vOf+fKbH1iz6ucgkQPWfjehiMSvxjjWEFg5cxZVCXBnhzoNlTJgRBWRY7zMaRKcVkt5SX4Zqn1OhPLd+Xjmf3jojU/I+nkV3bt3D6sOt1RXHJy5wCAhxCC/9/3jwNvVVFfYpKSk8OijjzL1wWlIKQPTUrvWLuf1KeMdE1Q6LWe2i2RcU342kRKO8LLrt7rd6RioKhybUcbUB6Zx16S7OeWUUzy3qYaIi7F+0003kZe7kaVZXwHBTq9mUWG2fkS6aso4V33IL11RWCV1hNomK0GV0SjFMpeT13a6cRQOlRzTro1G+ZvmZwdi27gpK/vAfna2bcaTTz4ZS9NSKnExzg0x/9S0h4O2RyvInTlVgxsMMWL8b1g7wFpEZA7vGnS8ms5Ardupfqf8UF5wEjlqv9TEmVbHGUgp+euKdTz+3PN069bNc3u8Ui0CR0pZDFwLvAnkA0XAE9VRV6SMHj2awxVH+fiT+YAv8/bW3Dw6p7fm40evDJmF24yb5eU1LXTcBBmMZl1OOAUJNPN11jesXLXGVQ6e2iJexroh5v867WHaHC4Cgi0MhoNutAgVHC+n9DAD+qVVqTNUlN/ZS/LJKT3M7CX5LF1RWMVh2U4YmdsWSnSolhhwtvBY1Wuc/9b0hQEhZyeslvxUwAM/r2PatGk0atTIsV21RbyMc/BZ5vM35bDpq48C21TH3mjhxkHYabrJEDl2CStVkWNVtlU8HTORCjs355stSk7HzHruXcratGPsWCdjYfSImsCRUnaWUn6rvP9YStlFStlYSnm9lLI8WnVFk6SkJGbMmMH9Ux+lrKyMxh2H85up7wHQoWsn1/44ZpwsNrE8NRWNGDzmlVDm8o1jnCgoLGLcLRN59tlnqV+/ZvOrhCJex/ro0aM5fPgwb78/N7CiSiUaUY4NMhqlBE0jqf+rgsBcZ3FWlm1S0FDWmTGTh1qKpmhiWJ4MnOoyxJjdcUtXFDJ7ST7vle2k24D+XHPNNdFvcATE6zhPSUlh2rRpjH/wSXJpZTs1Yycs7LA7Tl3RZF7hZBYdqmCwssy4wa78aKaPUK0zXjDaY3Xu3E/XcW/WSl544QXq1q2ZLFHHTTbxUIwePZq2qS2Y9ujUwEN406zfsDU3j99Mfc91HBnzAzxcMRPOKim3ZYYSXl7rdlodFWpZuXl/80NrKTnahuG/HsmISy9n6tSprtthx/GUYTkUy5Yt45JLLuHzr7+ldZtUWq+cCwSv8jH7sISTv8pYum2Hah0xWzYMIfTW9IVV6rVqi1qXm6zpodpmlKMeY5RrFQ/HScSY81UN6JcWOHdjaTkbKGVT5yZ8++23UUk0qMe6Dyklw4cPp8+vzuaWiXeQXlFQRVB4jYNjtz2Ur4qxgsj80FfPe2Psq0FtsMPK4dhO2LhZFu7UXnM9bjH3NWteLmXyKI/tz+PRF57mtttu89wmMzqbuEeee+45Tu7dm2GXX8m2ds0B+PUF15E1ZTwfP3ol/S65jOYd+gSO//IV3xzvkJsepHHH4YHtkQobtYxo4yV5qF1OrHDqsyvbav+6LYc5Z0gfrhw1milTpoRVr8ae/v3784c//IEH772bl159PbBdXT5+DQQe5uaHvJvgeVYPeqN8A2PlklncDOiXFpimGjMZHpk6r0qZ4VpoDD8jNw7FVsd4tXCpwRTNjtM5pYdZxC72pzZm0SefRD2L8vGOEIJXXnmFU087jYsu+Q3pnZoEknCaH9hWK47spltCBQG0shY5Jf40jr921jGR44TTMnMDc3+8Eu5ycfW6qiJn85GDPFOaz4Q774iKuPGCFjh+UlNTmfbYYzwydQpzPvkEgKN0ZvzMXvzhonOA/9Ch63K25uaxcHkhQ09Lo0PXTrw+ZTwAt725Mag8s/XCS/A8NY5OtKw4bsoKlZHcDqu4P24DAu6jIfnlZYHl5K+/8Ta3jZ/AE0/E5PR+QvDwww/TvXt3li/7gWF9B1K5ZgkQLELUFUqtMjNJ6jWQNuOgy8wZrqwkZqyi9hoiwijLWIXElJfp/9jNAFWmspauKAy0zbACLV1RWEWQmLN9O8W6MVtr7LY5YRZdQfWZnKsBSjnCruYpbM3NjVm/m3inU6dO3HP33Tz52EN0ff0t0isKSBkwgp4DRrD2jolAVSuHISB6DhhBz6ePCQm3FhZVeIRatZQzZxE9Tau8wF5g5MxZxNo7JlbZb25TNJeER+LDkzHyPN4Y+yoflhbz2Izp3H333VFrl1u0wFEoKysjtUUzmlFGdjlk7ykCGvDG4jyuHdyJlssL2V1Wye8y29HvkssAuO6C67j1mpu5drBvCuuNxcH5rMB6abg6XWQlPmrCT8dutZeTOIm0XVYpLprVA/zbFvzvf7z51r8jqkPjTIMGDSguLqZlq1YUJbeBvpcGpqqgqvWiOCuLVsr7/o/dTH//dsPCEg6qBccsEJZNeRk4JmyMNnUZ1jvIEblVZiZLf/1wFUEyoF8aY0zWJzushIzV9JTanlCovjrqOQP6pTF7ST7bOMT555+vxU01U1ZWRosWvgi5+cltSa8oAKDn088BPpGjTskcXvohKQNGkJ/sz4k0+CbgmIXFSxoHoyw7MkaeF3LZuJod3U64VEeMGzeBAdVj1baYRdH+dk0ZOXJkVNvnlupaJh6XXHHFFXz19VJyd5UFBah7t6CISZ/n8dC8Qp5fvPOYE/KAezja8Qp+1Sk5cOy1gztViaFjCAOnCMjRmJZycu414yUQYTjWpFBO1lZliUN5CCpqzAHteEUIwejRo3n/vXcC25J6DXTMjWQseTb+B5+4eODR4ZbHm1chmTFWF5lxEhDqqq/irKzA/1bpFMyixYs1xgm7FA52qMepsXeSEHqc1wBXXnklC/77GaUlvrRaAeGCT+T0fPq5Kg/yw0s/ye34jwAAIABJREFUJL2iIPD6PGc3szv8jhvXfgx4c+Y1/H7MIiAU6lJy470Zc7qGaKGKGy/lW+WzWrnvEHXr1q21sa4FjkJ6ejqjRo9m0sSJlJWVMbxtZ3q3SKV3i1TOmnwnJ1wyhBMuGULDK24hq+v1ZJdDnS3vA/D84p28+d+veP+0kaTd8oKlyKkpVCuR2/QI5nON/53i+rhth3qOlfARh/ICy/EbNW5GWVl8xAuKZ6ZMmcI///EK3yz5OrDNvETbEBROS7dbZWby3BfTgrap8Wis4tU4CR83MWqMelXR5TZon5uYNMZx5rabxYqK3XSdYckJSkfRKIU6CD3Oa4BevXpx4fnn8+A9d1JeXnXRlxEMUH0VDr6JoW9vY9YWn1Xx7axNvJ21ifzktlw764YqZThN41jtCzXtYyVmwolhEy7hZhs3ixvwBR5s2LBhrY11LXBM/OUvf6FNi5b89sIL2Zy7KZBuYMigc6Bxk8BxY8dex5mXX0zapNd58dQJAeFjHHfrNTd7FjnVJYLsoiy7aUd+eRn55aH9ibxmELfra8MG9fSNvwbIyMjgvXff4ZY//oFZr/yNwrqtSeo10FbMmMWOKi4AS0uO8XAPFVnYEAcD+qVZWkb6P3azZbsMARJuRGJzOXaYHa7V462EjdEPtS+qYMopPUxdLXBqjFdeeQVZcYgxl13Cju3bgqw4xpSVmbVZywOi5vVrT+eqzC6AT3xYxbfxsqzayfLiNdpwbWKV9BOOXYusebms3HdIC5xYokGDBrzxxhvcMu4mLhk6lOf/8lfKy8t56/LRbH/vY7774DPOHXvTsRNKDpC/YH7g7RezXmH7ex/z0uyXufWam6uUb5e/ymq/3Xa7JJ5Gmeb3dkEGjf/VpJihpqKsog07tdmtaDOW4devrwVOTXHhhRfy3bff8sH/vcfIX1/EVxuKAiLHSlCYRY2K1fFmS44Zw+9GTdvgFivLTSisLElO24wpJdXhGqrGwlGx68fsJfmBF6AFTg3SpEkT5syZw8jLLuXX5w7ktZdf4siRI7bHp1cU0DPztICoSa8oYGzHwwExZDzQnYLz2VHdOaGcCMdhOJx4OOp16dusPg0aNNACJ5YQQnDbbbex/McfWb1iBecPzOTrLxcDvgSS0y8ZwXcffMbt0x63PP+ES4awd+vPtGyYxNalM6rsDxXp2IrqWFmlJsW0a5ebhJl256r77MSOGila1u/E/uJ8kpOTqxynqR66du3Kj99/x3V/uIbRl/2ayQ8/TlmnfiT1Ghj0AkJOV5mnquBYUL+lKwoDuaLsAuV1Gdbb58D82M0BcdFlWG9H3yC3qEJGtfwY00eqE7NTGWZB9MCjw3ng0eGO+bOsrDxHkXqc1yBJSUnce++9fLN0Kd98uYAzh13ON8t+sj1+4VXtg0RN3XbHciYVDr4p4I9jhRrZ1w6zj40bjOPDORciE1d21hoIHY+nvLy81sa6DvTngo8++ojx42/ltDPO4t4HppLeyWdtmFewmYfeeZetW/KQv6ytct7IktUATHviT3QYcE+V/V6FitPS81AropyOtZu+copXE+6ScivEobyABadLt978uHwlHTp0CKssy/J18DNXFBUVcffdd7Nowf+Y/NA0fnPZFSQl+X4DpVbsDCwnh+Bl38YycoDKNUuYeO79gX1uYtYYFhI7q5GxTw1GaBCJv00k1h+rMszHmJfSqyJo0pLVnHbrVbz44ouu2+AGPdZDI6Xkvffe484/T+Sic89h3H3TSGvbDgiesjKvgqrbrjubdh3g85zdXJjRkrTFrwSmYtysrDISZ7rByufG7tzq9s+xWlGlbjMLHPVaHK2UDPzkKwoKCmjSpAnRwu041xYcF/z2t79lzZp1nNKzJ8MGD+Ge2//Mtq1bGd62M1ecew5y+1bL87679E6KJz7Pik//w9alMyjZMi/IYqFaNtQVS6EINc2lHhNK2HitT8VqZZh5SsytiBOH8thYVELFEUn79u1dnaOJLqmpqbz++uv86+13ePPVl7lg0Fl8+tFcKisrKUpuY2vNKc7KYufMGQEB9MCjw8lolGIZ3M6OUL4/RtJKu/g0bp2HDWYvyQ/KYu6EG3FjYDV1paamCFilOEzfvn09tFgTLYQQjBo1ijXrfqFV+85cPOgMnr1vAsnbVgX8cwzn41lbUgLbjuzYEFSOkeX72lk3RG3qySlppbHP6Rgz4aZcULHqm9VycKgay2dLSSnt2rWLqrjxgrbgeGTXrl389a9/ZebMmfz2iisYf8efOdKqOWdNvjPIiiN69PQJn5IDpJ8/jL/sepvN+bv4Ia+CX3VKZvzMhZbpH6o7/o3btApOTslW02RqsD67Op0Qh/J4dfFmXvrLX1n33Q8hj/eC/lXrHSkl8+bN44EHHuBg+WHunHw/Fw6/BCFEFWsOBC/bNt4b2KVcMMe4cZr+Uq035ijIRkA/u2B+amBCtV7jfLOPjflcK6wCA7r1y1m6opAnS/P45NuvOPPMM23rDgc91r1TUFDAjBkzePPNN7n2d5dy1603ktraF/lp6NvbuCqzC2M7Hhu/ajwdFbvcUnbxbeywEi9WK5SMcszHWx3rJa5NKNz6GeXMWcR/t+xgaVoXPvjgg6jUbaAtONVE69ateeKJJ1i3bh1tmjfn/AED2bP2F7Y983dEj56B4+Qva6HkAKJHT+b8aQJDbnqQzMGnA/BDXgUvjBvqOVN5KNwu3bYSUVaBBt0eCz5fHdVZ2Wvde+v3pHTDOi4446xQXdDUAEIILr74Yn744QeemPYYT894nD/f6nOuN6w5KlZLzA3GTB4aZM1RxYgqFJycmA0McQM+4WCkQTBExKb52ZZCydg/ZvLQIOfhAf3SPFl/DBGjropSLUHqCiqzsDH6WiklpQ3qcPLJJ7uuV1N9tG3blmeeeYZVq1ZRkdyQUwYPZ+Mm37359WtPryJu7DAsOhkjz6vij2IWNF6sMOA95o3VUm8rYWIntOyWt5uFUqh2Lfoxn969oxODKhy0BSdC7rrrLn5es5q/PP88bVJTaf/nW4IsOennDyP/2yWIEzowZNA59O3aiZW5ebR6boKlb46dpSQaOa6synTrb+NmZZWRdgGsHZft/IGMc1688x7OPvtsbrnllvA6Z4P+VRs5hYWF9OhxIs+9/A/Ov2i4rSXHCrtEnk65odTpL+O9Kn7MyS9VnPxizHU9MnVekPgKd/pLFV4qVgk6fygt4buOyeTlRfcHDuixHg3Gjh1L2e4inpv2AC1bNHd1Tn5yW9IWvxKIgpxeURBIB+EkAMy5pdzkmooVrPxwDAxBdV9JHcaMGcOoUaOiWre24NQQDzzwAKf07MWQM8/i5RdeYOvTfwuy5OQvmA8lB5C/rOWLWa/w7P33sdF/Y9u1drmjFSdS510DOz8fK/8Z83nm40LVY151pVqCzKvAjG3p9RqyLGsJCxYsYMSI+IkDcTyRlpbGv//9HtMenMKYK0aQt3mT63NVi4rqdKwGwFMtIpvmZ1ex5pgtO07RhNVyDFERrUjGVqhRm62mqYxl5QP6pbGxtJyv2M3NN1cNIaGJDZ588klatEun9znD+Me/3rU8RvXVMU9ZGZnL7R7+KmZLjlfLjkGoaaNI/XDCqW/R1kKys7O56KKLolq3F7QFJ0r88ssvDBg4kE8WLGBNAxg7cXxgispuhdWvOiVz3WMvBGUjB29WGi9xa6wsN2aLSzi4iYrsdEx+eRlPT3mA07v1YNKkSWG3ww79qzZ6VFRUMO7W8RwuL+f1px4MacExprJ2zpxh6YtjWE9US4dbMRLKsmJYi4wpMTsfGTV5p1H3W9MXBvnmWAkYpzLt9q0qPchnrQ5SVFQUWKEWTfRYjx6rVq1iwNlnk/P9F46WHEOQFA6+KSBuDOx8Z8yoU0VeBY5VGgi3vkDGsVarpNTzQuWbsuL+b3/mt/c/xA03VI3+HCk1ZsERQlwrhNgshCgRQiwWQpzo336REGKDEKJUCPFvIUQT//YkIcTbQohiIcSdkdYfK/To0YNevXuTm7OR3i1SmfXcC9w+7XG+nf5X0s8fFhQFGeDN/35F5/TW3HrNzayYdWWV1VV2mPNDhTrGwC4PllOcm3BWWFkFFXQT92fP1m1069YtZH21iR7rkJyczNVX/o7cnI2WvjhWGCLI8MVRp4TUoHlOAfQiIaf0MLOX5AdFTlaDEMKxKS8jVk9O6WEemTrPMl2DcZ5TW837jPquuLE/GZ3Sq0XcRAs9zn2ccsop9MjowoZNVa3shuVm1pYUZnf4HUAVcaNiCAI3wkBNG+EVNYqw+rLDSCBqNcVkbrvdezt2N0ip9Xt6RN8yIUR34CXgFqANMB94VwjRAngHmAR0AATwqP+0C4C1QDpwrhCicSRtiCVO6dWLnI0b6V0PRrVN5e5+AwDo1qkT51551bED/WKn8wPf8vzinbwx53vyl/tMoW4C/pmxW/Hk1VFYJb/cl1E9FPtoSHb5sbrMqR2slrRb1b1lcx5du7rL0lsb6LF+jB49erApNyfw3ioooIEhboxpKifrzJjJQ5nwyYO2+51WWYWDYdl5a/rCKgLIwC7NBFRNLWE+14otu/fTuXmDyBtfTehxHkyPrp3ZkFt1OtZIxKkSyvKiCgOzgPG6/NsLmcO7Bll23hj7auBlYCVyDMJN6rmpcHet39Mj/RlxHvCFlHKelPIg8BegL/BbYLmUcq6Ucg8wHTC8jARQB6jr/z+27ZQe6NGjB9s2rgt6iGfvKWL6JSO4esDZAWFz7pVX0fCKWzjz8os54ZIhzEzqya61ywPleM0K7sVHxi2hLDuh2heqLnXF1fpVqyjcsYOMjAzX7asF9Fj30759e/bt3UtpSQlFyW1cn2cVCdlsRTGOM59jbFP3hZrKcoourJZhtUw8o1FKIEqxWo/ZMtNlWG9uz/08SJhZCSUAieQv73/D6RddGrJdtYge5won9j2dDbmbg7apK6nGdjzMhRktmd3hdxQOvikoYaddBnAVc8bw6o5QbHXstbNuCBnLJ2fOokD2dRU769Cyot1U1Emp9ZhmkQqcucB45f3pQBnQB1DjYGcDaX5l/znQE9gEfC6lLLUqWAgxTgixTAixLMI21hht2rRhf4m12aN3i1TSzxoIjZvwxaxXquxv3fM0xKG8gH+MW0uOU46q6kreaW6fKoTS6zWkdz3rc6zYu2cvU/44jpdffpnGjWP6h1+1jPV4HOdJSUm0btWKvXv3WO+3sOSoTsN2qRqWrihk2ZSXPbXFSuSoaR6skoCaUaegjCk0OwfmAf3SgmLpGOeqTtBGnzIapQSJnBXs5xBHmThxooue1Rr6nq7Qpk0b9job5fg8Z7ftPjsBEG1Ljbo83RxR2KoNmcO7BoRNKJympKwiOO88eIjJ36xg9uzZ1KlTx20XqoW6kZwspQzcqYQQVwAvA5PxKf485bhyIcQRoKmUsgS40kXZM4GZ/rLj4hdBo0aNKC0ttV19NOdPEzhTScyp0rxDH8vAf25QRZHVPoPqDiIYCvW6pNdrSJPKEq4fN5bLL7uM3//+97XatlBU11iPx3EOvrFeVmr5HLPFWOodahrHafWUGtnYii7DelvuN0SJOuVk+NmYz4equauceLbrhbZ9MsSOrH+EteUHWJ23iXr1LH4BxAj6nh6McU934sKMloB9ZnI71FQQ5oB9dttVrJaUm6ejDO4Y6UsJ0rdZfU9tVB2KjWXvTlRUVnLXkhXcOvm+Wl09ZRDSgiOEuE8IccTiNcu/v7UQ4kPgOWCslPJFYC/QQCkjBZ+Ysv7JlyA0atSIkpISW7GRvacosIRcXUoO0LjjcMtVR26yi9vtCydlQnVh1d7nXn2bAwcO8OSTT9ZCi6qix7p7GjdubHvjr1yzxFV8HIMB/dKCponUaSk3fjeGKOn/2M1VprLUoIDgs9CoqRPMPDJ1Ho9Mnee43Ntg9pL8wHu1PCNisvH/YVnJO+UFjKrXlvT00NNm1Y0e5+4x7ulm1GXicMzB2HhZORybc1GpIsYrVuVYBeEzLDRmYZM1L7eKH040eG1NLo2T6zJlypSolhsuIQWOlPJxKWVdi9dYIUQjIAsoBk6SUn7kP20doNqOewIb/HO6CYvVTb93i1Sy9xQBMLxt50DeKvnLWtLPH8asWa9T9v7fbcsMJyGn+jecMtzWYzUl5mbJuEHW4sX8+Y5JMZNVWY919zRu3JiyMt9YN/vhGNNT5txVZtT8TK0yMx3j2hg4WW7sMPviWEUZNmO2yJgFz9IVhVVEklnkGGXsqCynqajLzIPWOetqGj3O3WN1TzfHvFHFjOFHY5e2wSDUSiSnZJt2gsjOhyZzeFdW7jsEEPhr/K++D6edQNC02HeFxTw4+52YWSUYaSvGADuklH/0mykN5gKDhBCD/N73jwNvR1hXzHPgwAEaNAheIZFer6HP/8afymDWcy8EnI3zF8xnVcF2DhStCTonlO+MW6uOF2dlr6jB+9wcq/41yP1lA7169Yp626oJPdYVDhw4QP369quB3CwfN3hr+kKWTXk5YCFRRYzhk+MlnYLq72MWPsZ7p9VRcEysmJeIG8JI/WslllQ/nNNeepjzxsT2FKyCHucKxj3dWBauWmxU7ESH2UfFEC4ZI8+rEuDPrrxQWcSd/Hly5izipXfXWO7r26y+6ykrp5VUmcO7BvqZR52YuqdHKnD6AIPNpk6gMXAt8CaQDxQBT0RYV8yTk5NDl05VvcYNJ9z0eg0Z1TYVcUKHwL6VuXls/N/rliIglEDxGhDQK6FyS1m1wSkissH2bdu45dY/ceDAgVqPk+ABPdb9SCl9Y11Z9eZlNZWBaiVRLSSqqFAdhgHL1VTGOXa5rNwGDjSmrq4ZmM6YyUOriBsVtb12TtNdGiaz/Mh+HnnkEQYNGuSqDTGAHucKOTk5ZLRrbbnPLHqsUB18I40mrAoaN+LGXD/4RI0hSAxHYzftCpWVfGtJGfd+s5KmTZvStq399ahpInUyvg24zWZ3HvBxJOXHGxs3bqRLl2OOwnYZuocMOocv/FNUrZ6bQLfZL9PYf6xTFm+nbdEQQSpuxI1T/XbWnTVbd3NR5iBuHDeOf65eTUqKtS9ErKHH+jGKi4tBJNGiRcug7arISa3YaXmu2RJjJMuEYKGg5qBSt6lZyw1nYrVMcw4rq/rN003qqij1uNlL8i2zj6vv1bIMPyLDcfk/h4uoPPVE3njqKQYPHmzZnlhDj/Ngfvl5OWec1idom102cQNjesopwJ56LETmh+MkcjKHdwWlHeqqKVWwWEUzdsozlTJgBGvvmEjWvFzaDWjDtQu/44777uedO+5AiNgJpB2RwNEEs35dNqOvHBl4bzzk1Ye9OJQXyEWVv2A+D733A43bpoZdp1M6hHAsPFZLv8Npi0Hx7t0s+GYlO7ZvB+C7pd8wavRopk+f7rl8TWywceNGOocI4FWU3MZS5JinhlSLhyoy1LQJYL+yystqJ7WeATb7VBFzzcB0XwBAv9AxH2OQU3qYSiRbz7qEH1f8TGFKGdmlB1jXTLDxs89o3draAqCJfXI253HV5b+pst3KamM89FXUKSq38WrcLiF3c5zT1JJ5+xtjX7UUQObUDEX7Svj+0/+yrVE9dnWrw3srf2H8pLt58EH7IJ21hRY4UWTT5q2kdj0paJvVQ3/dnyfQyL9cfOzY6xj16WdBx7vxwQk1DeQVtd5Q+a3s6jXO++G77/jfRx+zePFiNm/ezNlnnx0I4pferl215JvS1BwbN26kc5fQEUoNi05qr4EhV1WpYkZd5m1nibHDEEahMnub6zRvM5+v5qsymLUkj7WU0PLis1myZAlZE+7mrLPOot3YkbQD/ti/vxY3cU7O5jwyOjuH7zCsOfnJbR1zQRlWErO1Rp1yUp2UawqjzUY0Y/NKrJw5i/iusJhlPU7lq6++Yvu8pWRmZtKpUyfkGe3oU7cu48ePtyu+VtECJ0pUVlaSm5tLp86dHY+T9Ttx/4oVPkfjkgOsv9/ZdG2X+dssQqyEkdds4FblGuXYlaEGHNy0KY+/PvMiny/4kgkTJvDqq69y2mmnUbeuHmaJxMaNG+ncuUvE5ZhXURkY005ufGcMMaOKF7M4MfYN6JdmW6ZxjrHfKPeagel0GdabNuPuAaDNOHiyy/msPVrKV+nJDBo0nMsvv5x//vOfpKaGb4nVxB5lZWUU79lLZce+hApXl5/cls9zdnPh4JtIW/wKWfNyqzgY24kbqDpFVdMiB3zTV2o7ukrJgtc+4pXVG1kj6jH+1z0YN24cffv2rfUAfm7RT54okZ+fT/PmzWjcpInjcftoyCltTyD9rIGsv2VEUHA/L1YYO5FjLsfJ0qNmFDempOx8ftS6VOG0Yf16XnvhWRZ//Q2HDh3iyiuvZPXq1TRr1sx1XzTxxfr16zlrcNX0BqGwilJstQLJy4opldlL8gP+PHarp6x4a/rCQFusxBFAxdHHeeP71SwqTWaZKOC0M07jjYcf5txzzw2rrZrY55dffqFb504hH+bqdNXnObsZO2AEmcMXVYkobCZcAeM2Q3k4HF76IStyt/FK9m4WLVqElJJrrrmWf0+ZQqNGjaJeX3WjBU6UWL9+Pd27ZYSc3jGcd+f8aQK3X9qFZ+ZVTeTmFi+WFvUc83FmfxurcsxC6ujRo/zjby/w0jPPcuedd3L35Cn07NkzphzMNNXD+vXrufqGWzyfZzjtqoHwzP4sZp8at1YcNSO5ul39a8UjU+fZtsVY5bVsSQ5fLPmeUy8cwj333E5mZiZNQvyQ0cQ/69evp0O3no7HpFcUBASOEdH48GJfKh4r/xsjerFZ3KhRjd1i5RhsxhyTx2kKbfFnOcwvL+b7pknce++93H///XTv3j2u7+la4ESJdevWcWIP+yXPxwRCGb1bpNL8xxmuxI3bWDPmYyMJ7hfq3IIdO7j1uj+QnNKA77//vtYzxmpqjsrKStavX09Gt+6ujjccjYuzsoJiw6jTRZvmZ4e02pinsMwM6JcGplVOTlitprJKt5DNfn5kH8+98nduvPHGuL7Za7yxbt06Mrr3cDzGEDef5+zm7axNLLyqPeZRZBYhbi03dtNUhl+MGwuO+Xy7pd5zP13HP0q3c/KF5/LTq6/WepLMaBEb4QYTgPXr19O9u8+R1kmQGMko008bFZS00ip+TLhpFtxYcbxi9Km0pITrf/87hp5/EV988YUWN8cZW7dupVmzZjRp2tT1OZVrlrBpfnaQ8DBbWkJZalRRY46B0yozky7Deod0IFZZuqIwZE6sdRxgFQdYk7uRcePGaXFznLF+/Xq6uozTdWFGS67KjMwvzSl6sfG/8d68ssnqGAOn+DVZ83L576cbeLF0KxOfnMZnn32WMOIGtMCJGquzf6ZH95oPWhfJ0nCv5Tc+eoCJN1zP6f3P4JFHHomZcNyammP9+vV0znA/zouS25DUayD9H7s5sM1w+DVbbqxEibHfTU4qK96avrCKdcgstqzYxkG+Zy/fr8umS5fIHao18cfP2WtCWnAM0isKGNsxWDA7LdH2gipYVBFkLttOyDi14YiUzCzbxjV/nsCdd96ZcCJeT1FFic1bttK6y4lA+CKjOvJHWU1ZufHVMZ+3j4a8NmsmJaXl/P3vf0+4L4LGHZs2baJjp/Ae+Fb5nFTHXqdl205YOS9bTUEZ20NxFMkCdjHvi4WceOKJIY/XJCZb8/NI9zDWw/GjUQl1rtV0k9mSox5jtd/M+o6SEzsPZcaMGWG2OrbRAicKSCnZWVRIWlqaK2GSXQ7p9XtarkzyilN9Tv44at3qKiqnsr9bspRx48bFTfRhTfQpKCggrW1oHxeD1IqdQTFwVMuJVfRgFXN6BjcM6JdmKWxUzNNT5qmq3RymIXUYMmSI63o1iUV5eTllpaU0b9HC1fH5yW1JV3xmvFpuwhVGZvFijm4cKg3Djzt3M3XGLXGz7NsrWuBEgZKSEoQQnNA4iX0W+42VU07RgVWhEy3rjRcHZSvM5+ZvytHm+uOcgoICTuicEfpAE8umvFxF0BixZszB9dzmjlLLgWMBAkMJnFDs5whN9K3xuKawsJDWbVJjcho+4IdDZPmtsublkn+kLKHv6bH36cUhBQUFpJmCfFkJCyNx5ikyjzpb3rcsK9o+NE4YbTQLr/zyMrLLqx5/5hmn8/XXX9dE0zQxSkFBAW1S3VtwzBipGqyWcNs5G3uNZhwpadSjpFVDKisra7ReTexQUFBAa5eBG9MrCkivKAhK0+BGeFg5BDsd6wY1KrITRoyeEw7XTeh7uv6ZEgUKCgpIS7PPppxeL9iSIut3onHHquG/o7HE20yky8XVdjds2JCKiopoNEsTpxQUFJCa5k7gGNNThlXFyO9koKZkCIWaZNM419huxs6B2LAQGbmoVEuPOk1VF8H+4t2u2qVJTLwK+cNLPwxavm2eonISKJGIHKepMKeYN4EySUroe7oWOFHgo7n/R98+9mZ1N5m+I80l5RY39agWHXXqbFX2GiZMHFZtbdPENoWFhaxZu45uLlaWtF45Fzf2DzuRY4574+SHs2l+dmCVVjj+OkYMHUPkFFNB+6R6MTk9oakZPn3/XU4+pU/I44w8VAHxYbN0OxqE68RstdrKCEL4t88L6Nu3b1TaF4togRMhe/fu5bV//ouvv5wHVBUQToLCzt+mOiw5odpidaxa/6FDh/jpp5WceuqpUW2TJn54+umnuex3v6dlK/sEkqrVps24exyTbNpZb6zi3Djh1WdHxcraczi5gvayXthlauKb7du3895H81jwzXLbYwxhYxYdVhYV85RRuIIn2vmqDhyuIHd/CX36hBZy8YoWOBHy0ksvMWzY+XTu3DFoezTESbQcjr0KG/P7vbIBf3n6Bc46ewAdOnSIuD2a+GPPnj28+uqrzPvSJ1hSK3YGsoUbmFdMmTGsJWpMnJpqI4uNAAAgAElEQVT0r3HKMg6+CMs/lZaSVbGPb3/+qcbapYktnn76aS77/WhaucgEbyVW1CjDdjFsooHX8tSpqkopeSl7A5ePGk1TD0E74w0tcCLks88+Y8Ldd4cUIiVbfBaexh2HOya0jBZuxVGo4woOCu4aP45NGzYwd+7cqLVPE19kZWVx2mmn0b5DuqW4AV9Qv9ReAwMix7DkAIyZPNQyt5R5isprQL9wAgCaV1kZU1Vflu5jWSo8+cBznHLKKZ7L1SQGn332GdNfeDkoz5QV5kzg5iXidpaaSOPleEEVNUa7Vr7zX+779mfKO2bwwVNP1Ug7agstcCKkdevWlBzYH/K4xh2Huy7TTnDYxatRcUqU6UZAmc+d/sgjHDl0iCVLltCwYc2t8NLEFq1bt2b//v2B3FIqxrbKNUuo5JhVxmyd6TKsdxVBUp0WHPOyc7vgfwC7Kyv4rtVR/jPnPwwaNKja2qSJfVq3bk3DPXlAuyr7jKkplVApFuyOqW7snIun/7iW9kMu4LXXXkv4mGZa4ERIu3btKCy0vmnaCQpDhITK2q1ixNIx/g8ldJysRG6Tcv780wo+nPM+q1ev1uLmOKddu3bs2LEj5HFu/Wqcjo0Eo0xzVnKzsBkzeSitMjN5/tcPs+SnAn4650QmnXuuFjca31gvrCrknXCyyKiWnpoUOqolycgo/l1hMT8dTWL13/+e8OIGQEgpa7sNIRFCxH4jNbFMnpSyc203IhR6nGuigB7rmuMBV+M8LgROtBBCLJNS9q/tdkSDROoLJF5/apNEu5aJ1J9E6ksskEjXM5H6ArHRHx3oQaPRaDQaTcKhBY5Go9FoNJqE43gTODNruwFRJJH6AonXn9ok0a5lIvUnkfoSCyTS9UykvkAM9Oe48sHRaDQajUZzfHC8WXA0Go1Go9EcB2iBo9FoNBqNJuHQAkej0Wg0Gk3CEfcCRwhxrRBisxCiRAixWAhxon/7JCHEVv/2L4UQJynnXCSE2CCEKBVC/FsI0cS/PUkI8bYQolgIcWct9OU2IcQOIcR+IcQnQoh2Tu2N5b6E6I/lZxbr/alNEmmc+9uQMGNdj/PokkhjPZHGeYj+xOZYl1LG7QvoDpQAw4EGwL3AT8CZwA6gC1APmAEs8p/TAtgNXOr///+AZ/37LgKmAg2BT4DGNdiX3kCxv+2NgXeA2SHaG5N9CdEfy88s1vujx7ke63qc67F+vI7zeB3r8W7BOQ/4Qko5T0p5EPgL0BeQ/peRa6sOvosM8FtguZRyrpRyDzAdGOXfJ/zH1vX/X5NLzM4BPpFSfielLAHeAk4O0d5Y7QvY98fyMxNCtCS2+1ObJNI4h8Qa63qcR5dEGuuJNM4hHsd6TSrAalCUaUBn5f1Z+JRkXeBljn0pyoAe/mP+CjylnFPPf0xjfFN27+FTqRNruC/JQIr//1b41PGLIdobk30J0R+nzyxm+1Obr0Qa5yHGRtyNdT3O9VgPY2zE3TgP0Z+YHetxnU1cShlIESyEuALfF2AyMBi4DDgN2AA8iU9t/gpoCuQpZZQLIY4ATaVPlV5ZYx1QkFJWAAghbsQXIOkQcAFwLTbtJUb74m+LZX/sPjMp5REhRMz2pzZJpHHub0vCjHU9zqNLIo31RBrn/rbE3ViP9ykqhBCthRAfAs8BY6WUL+Kb75stpfzJfxEnA/39JrO9+OYJjfNT8CnNPTXf+qpIKf+Bb07yHmAuPiVs196Y7gtU7Y8QItnmM4M46E9tkWjjHBJrrOtxHj0Sbawn0jiH+BrrcS1whBCNgCx8Jq6TpJQf+XeVmQ49AhwFDgLr8DlLGfQENkjf3GGtIYS4XwhxNYC/LX8HWgJbsW9vTPYFHPuTivVnBjHcn9okkcY5JNZY1+M8uiTSWE+kcQ5xOtare96uOl/AOHzOTebtg4ACfObMBvjMmZ/IY3OHu/3HtAA+BR6Kkb5kA12B+vg80Vc6tTdW+xKiP5afWaz3JwauZZVrFo/jPMTYiLuxrsd5tVzPKtctHsd6Io3zEP2J2bFe6xctwgv+IlCJT82rr07A9cBGYB/wEZCmnPcbYBM+U+E/gXox0Je6wDP+L/E+YB7QLVR7Y7EvTv1x+sxiuT+1fC0TZpw7jY1QbY7F/uhxHvXrmTBjPZHGuVN/Ynms62SbGo1Go9FoEo649sHRaDQajUajsUILHI1Go9FoNAmHFjgajUaj0WgSDi1wNBqNRqPRJBxxG8lYCNECXxRELdI04Iuq+ZaUsry2GxJthBAXARm13Q5NzLBESrmythsRbYQQacDl+PISaTQHgHeklEfCLSAuV1EJIXo2b8CaE1PrUK+u/XehTRNn7dO6ZWPH/S1atwrZlsYndHTc37BFuuP++k3aOVeQ7NyGMlKczwf2HDnsuH9b6QHH/Vv373Xcn7+z2HF/UbHzfoA9u0McszdE4Mt9+2F/KewrSZNSFoWsMA4QQtTpS9MjR+ocpWedRp7O7daxqef6Wvdu7/kcgEbduns+J+mEbp7P2V+niedz8vYd8nzO6h37PZ+Ts2Wf53OK8zZ7PkcCB3OzSGrdiyN5ixNGCFwh2snFFHNu/RbUE+F3q3vvNhG3JbV/z4jOr5PRL6Lzd9dpFtH5AGt2lkZ0/rcbdkbchh0btkR0ftn2NciDe5AHtrWUvkSdnok7C05mRl3ZvAH8qmNdurSq43hsRhvn/Z3TnQVOh65tQ7andc/ejvubd+jjuL9Jai/H/bJ+J8f9+2jouB8gv9wcBDSY7D3OemBVwXbH/Udz8xz3l+U57wfYu8X5GLl9q3MBzRvB3gNw5GihOPVE5E/r4/rmL4Ro2pEG++oiGF2vHUkeb/oD0tI819nl9PBu7K0yMz2fk9RroOdzipK9P7x+3OEs3q2Qa73r430rnL8jVpRU/uj5HIDDojFHt3xFnbQ+srJoVV0p5dGwCooRLhBt5Er2cwFtOKeedxGrkpnh/IPSDRlDz4jo/JQBIyI6Pz859HMnFJ/n7A59kAN5WZsibsPeiuURnV9OIyr35VF55NBuIcRJUsr1XsuIm+kdIYTo076O3FBUyaCMujRrENfPL0110LwJnNQZNuYjenaJP9OkHyFEtzak7OtBI/rT3LO40SQ2ok4ydTqfByIJ0TTdSGgYdwghkk4XzeUGSvk1aTQjubabpIkxkpp1ok7HTGjQcl3djAs939PjQuAIIep3aiEqyw5DZobztJTmOKdBPejdDQp3Izq2lUKIuBjjBr8WabIVyRvOoRUZeJuW0hw/CCGo0+40klpkIBq23ieEiCsfLSFE4y40PFqJ5ELakBIfjyJNLSAatKRuxkVUFmVTp/0ZUgj3v/hiflQJIdq1aiQOtmwkOLVDHf1rVhOaunWgVxeolNCq2VEhhPNcZAwghBCZoqVczj4uJo3WLnyrNJqkFl2o0+FsqN9yY91uw+LCaimE6JxKyoEuNOBMWpCkfYo1IRB161On6wVQvh/RolulEKK+m/NiXuAAtzZOga6t4qGpmphBCOjUDg4fAbistpvjgpY/sI/BtKIhzr5jGo2KaNiaOm37cnTbd7XdFLdMSqUe3Yn53x2aGEIk1SGp/RnIg8UA57s5Jx5Uw8N16wh+2HKUo5Vx8QNFEwtUHIHVOdCqGcC/ars5oZBSFg+nDf9jJwV4X/mjOX6pLP6FyqJsOLQ3cg/bmuHOcirJYjdH0fd0jTvk4VKO5vyXOq17IqX8xM05MS9wpJQVG3ceFa0aCb7KOcrBCv2F0ISg9CBk50D7VOSmbULGSSyEubJAFFPR8Vv2sp6S2m6OJsaRspKj276j8sB2ZNnORlLKEEsNYwMp5aENlCY1pg7zKOIQcb0ITFMDVJbu5EjuApLanc6R/CWJ44NjsDz/qOjdLomsnCPsLqus7eZoYpXiffDLFig92Euuzom7yX0pZX4h5Y22cJCl7KZS/8LVWCCPlHM0dwHUqY/cuylJSukcCyLGkFLKb+Ue0YemfEoRu3GO1aU5fqncnUPltm/h0O4uRzZ85umeHjcCB+DLDUfEvkN0/WlrJVv2aJGjUZAS8gthxy4oPdhSSrm2tpsULlLKslzKkuqTxHyKOBjfYU40UUYe2suRnP+S1PpEju74MW4slFZ8JgvFLg73+oJiNhNXGk1TzUhZydHty6jctxlZtquJlHKz1zLiNZJxkxOaiv0pdQX1HEIVNqnvLPaaNHJ2xG7UJLQTXL3mzpGGUxq1dNyfXL+5cwV1nNtw2EWsxtJK50jXe8qdfT72HHS+8ew+4Dydsr8k9HRLaahjykJE5iwphUb1Yfuu5EhCe8caF4lUmZ20n/ZJ9Tydl9qygee6mnRo4fkcgHphBBUUzb2fczDJ1cKJIIoPVng+Z9veg57PKSr2/nA+ULzL8zlIOLx7M3U7DqJi3dy4s1DaIYRo2YH6xanJydSL4Hd32w6RBQoEaNIlRHT5ECSlOgdnDUVpkvfvrpltByLLWJNT6D1Appl9BaEj2DtRXpyHaNyWysKVdaSUYVk04lLggC9IFPAg8J9absrlwAe6DbXehkPAOVLKmbXYhmpBCNEO8K4Iau4zSbR6arKucOrJlVJ6zycR4wgh6gIPoO9lug0+SoFzI7mnx63AARBCLJNS9tdt0G2IlTbEEjV1PRKtnpqsS4/ZYGLheug2JE4b4soHR6PRaDQajcYNWuBoNBqNRqNJOOJd4MSCv4Vugw/dhtijpq5HotVTk3XpMRtMLFwP3QYfcd+GuPbB0Wg0Go1Go7Ei3i04Go1Go9FoNFWIS4EjhPhaCHGWw/6LhBAbhBClQoh/CyEiD47gsWwhxGIhxCHl9Vp111ud/fbQhqj226Ydtp9/dV+DWMVrv4UQJwshyoUQbaurLiHEtUKIzUKIEv+4ODEaZUfrM3ZZl+c+RNLeSD6XeMbuOgsfTwsh9gkhtgshbq7mdgTdW2qh/lq7f6l9r4V+V/n8o9IGKWXcvICLgJcBCZxlc0wLYDdwqf///wOejVL9rssG8oF6NVVvdfbbS/nR7LfXz7+6r0Gsvrz2G6gDLPVfx7bVNA66AyXAcKABcC/wU6RlR+szdlmX5z5E8tlE8rnE88vpOgNjgZ+B9sApwC7g1Gpog+W9pabq9zpWqrvvNdxvy88/Gm2o9cHt8UI8CrwKHMBe4FwLLFDenw4URKl+V2UD9YFNUex3yHqrs98e2hDVfnv9/Kv7GsTqy2u/gUnA0+E8SD18B24CPlbeJwOVQMsIx1hUPmOXdXnuQySfTSSfSzy/nK4z8AVwtbLvBWB6NbTB8t5SU/V7HSvV3fca7rfd5x9xG+JqikpKOVVKeQPgFAO6Dz71Z5ANpAkhQuddCI3bsjsDKUKI5UKI3UKI/0RocnZTb3X22235nYluv4Nw8flX9zWIVVz3WwjRA7gemFrNdc0FxivvTwfKAKcIvDU5zt2UE04fwqknGp9LPON0nc3XbzXQLdoNcLi31Ej9NnXVyP3Lpu812W+7zz/iNsSVwHFJU2Cf8UZKWQ4c8W+vqbJbAGuAq/E99PcBs6u53urst9vyo91vr1T3NYhVXPVb+NKbzAImSilDJPeKrC4pZaH0J8cTQlwBfAxMls55wmpynIcsJ8w+eK4nSp9L3BLiOgddP3xWhpr8Ptdk/bF0/6qxftt9/tFoQ8wJHCHEfUKIIxavWS6L2ItvHs8oLwWoC+yJtA3+ckKWLaX8Rkp5gZRyjfTljLkLOE8IEW4WNTd9irjfkbahGvod9TbGM5GOS+BWIEdK+b8aqAshRGshxIfAc8BYKeWLIaqtyXHuqpww+hBOPa4/l3jG6d7ucJ2Drh/QkDC/z2E+W6JWvwti6f5Vk/22+55F3IaYEzhSysellHUtXmNdFrEO6K287wlskFK6ThFs1wYgy03ZQoiLhRDnK5uS8Snxw27bYMJNnyLud6RtqIZ+e6W6r0GtEum4BIYAo4V/hZt/22YhxG+iXZcQopH/2GLgJCnlRy66WJPj3M14DqcPnuvBw+cSzziMqQnYX2fz9esFrIxm/SGeLVGr3wWxdP+qsX47fM8ib4MXh51YeQGbsXcyboXPE30QvimTT4GHolSvq7LxTdFsBE7CZ1J7E3irOuutzn57aENU++3186/uaxCrr3D7TXhOxm6/A+OAL6phjEXlM3ZZl+c+ROOzCedzieeX03UGbgaW4HM4PhMoArpXY1uC7i01WX9t37/Uvtdwvy0//2i0oUYuXHV+EP73fwA2Ku9/A2zCt/Tsn0Rx2bJd2RZteNT/gewE3gJaRLvemuy3hzZEtd+hPv+avgax+nI7Lk3nhPUgdVMX8CK+lRBHTK9OURhjUfmMQ9UVbh/C6VM0Ppd4fTldZ3xL51/C53+RD1xVzW0J3Fv872u6/lq7f5nuqzXW7xCff0Rt0KkaNBqNRqPRJBwx54Oj0Wg0Go1GEyla4Gg0Go1Go0k4tMDRaDQajUaTcGiBo9FoNBqNJuHQAkej0Wg0Gk3CoQWORqPRaDSahEMLHI1Go9FoNAmHFjgajUaj0WgSDi1wNBqNRqPRJBxa4Gg0Go1Go0k4tMDRaDQajUaTcGiBo9FoNBqNJuHQAkej0Wg0Gk3CoQWORqPRaDSahEMLHI1Go9FoNAmHFjgajUaj0WgSDi1wNBqNRqPRJBxa4Gg0Go1Go0k4tMDRaDQajUaTcGiBo9FoNBqNJuHQAkej0Wg0Gk3CoQWORqPRaDSahEMLHI1Go9FoNAlH3AkcIcREIcSVpm2dhRCH/P/fKIS4Osp1XiuE2CyEKBFCLBZCnBjN8v11DBZCZLs8Vgoh2ka7DdVFvLU3FrAa56b9UR3nQoghQoh10SrPQ72B7241lF3jfQpVp/4uaDQ1R1wJHCFEU+APwByHw94EbhdCNHBR3nQhRKUQ4iSHY7oDLwG3AG2A+cC7nhruAinlYillb4v660S7rmgT7TbGQ5+rk9oY5/FELI2PWGqLRqMJJq4EDnAjMFdKedT/C7ZQCFGMT3wAIKUsB74A/uhUkP/B8Afgn8AEh0PPA76QUs6TUh4E/gL0FUJcLoRYI4R4SQhRKoT4TgjxWyHEKiHETiHEJIe6xwoh8oQQZUKIb4QQfdRffv7/fxBCzAKWm841rDxbhRBp/m1DhRA/+y1M/xZCtPSXEbJ9/uNWCiGeEUIcEEL8KIToo9RXpWy7Ntr0K6i95l+4xnub8izrPg5Qx7nlNaiGcQ5QVwjxohBit38c9POXcZF/3OwTQnwihEj3b7f8LJX/vxdCPOcfb+uEEGf491l+d/37qowhpbzA+BBCvCuEeEw5b5wQ4qsQ18JqfNqW42Xsm0gSQvzN/73bJIQY4D+vyndXo9FUH/EmcK4AFgkhugFP+d9nAL1Mxy0CRoQo62p8D4gHgauEEC1sjpsLjFfenw6UAfuBnsBawLhZveiv9xxgmhCimbkw4ft1/gLwW6A5sMTfBjOn47t59lc3KlaeDlLKQiFEB+Bt4GagA3AQ+Kv/GLft6wNsBloC7wDvCiGSQpQd1Ea7fpnba9FPyz67qDuRMcZ5qGsQzXEOvu/SJn9d7+MbB53wWSwnAunASnxjxA2/Arb5z/sEmOH03XXx3VC/E/8BLlH2XezfZolD2ZbleBn7FtV1x/d9au0v4xGo+t21a6tGo4kSUsq4eOETYxX4bk73A68q+34FHFLetwdKQpT3MzDQ//+/gUku2nAFsBO4DRgC7AGEf99M4Gnl2F1AD4sy6gMn+/vTEZgOfOkvb53/mCFAgUM7JNDW//89wEvKvs7+drlqn/+4YuW4JGAf0M2ubKs22vXLor2BfqrvLcqzrTuRX6Zx7ngNojnO/dd/u/I+GTgATAHeNG0vBdrafZbK/0XKuBoCbMThuxtiDJnHRxPgEHACkOJvayeLPq1zKtuuHC9j36LOfUq/BwIbrb67+qVf+lW9r3iy4LTi2MO3A7BF2bfddOxuoJH/V1sVhBDnAVJKucS/6XngNmEzny6EaC2E+BB4DhgrpXzRv6tISin9/1fis+qo2F3fe4E8fH4UJ9scs9dmu5lOwDghxCHhc9Zch++mXd9D+7Yax0kpK/EJnlS7soUQ9W3a6KZfZtRrpJYXqu5ERR3noa5BVMc5sMP4R0pZgU/MD8QnTNTt+/CNDzPm8b5bGX+HgLqE/u46jaHA+JBSHgAW4rO4DAZ+kVLm2fTLtmyHcryOfZUCpd9H/f3WaDQ1TDwJHOMmIYBCfL/CDDqajq00/TUzAZ/jMABSyix8Fo3LzAcKIRoBWfge+idJKT9Sdkvz8S64Bt+vwS5SyiHAp2GUoVKEzzJTX0pZH2gGnInvgeK2fenGP0KIevh+nRfYlS2ltFr14rZflQSPO6sHpW2/bOpOJNRxHuoaRG2c+2ln/COESME3tZmPT5QY25vhm3rZgvvPUsXpu+v1uzEX3/TSJThMT7ko26qcSMZfOPcFjUYTZeJJ4OzE99Bugc8/4AohxNlCCGPKSqUlcFBKWWIuRAjRBZ8PylumXS8At1vUOwbYIaX8o1V5YVAXqAPU9ztQ/gmf2V94KOMovocM+K7FKCFET78Y+yu+X6peaCGEuMH/6/QBfCb1XI9lW/ZLCCFM7d0KdBRCtPFbEq61KS8a/YpHzOPc6RpEc5wDtBNC3OIXuZOAZfgE0u+EEAOEEI2Bh4DPpJR7cf9Zqjh9d/+fvTOPi6rq//j7sqmA5IKpKIriioriHhpKPWSpqdmvzbTMNlvMvSfNLbMszTZbTNss0542NZdSK8XSzNxTXFFMM1FwQVBZ7++P4Qxn7txZgAFBz/v1mlfMveeeey4dZz58V2d7yIylQCxwe/68znA2t9k8JbX/5H8LCoWiBCk3AkfX9RxgM9BK1/W/gNFY0mj3A6sMw1sCvzuY6mkgANivadpx8QKmA100TTMGDUYC3TRNy5FfWEzYReFzLCb+U8D7+c/RBPddOgDfA1s1TauR/7t4DksQ56n8dT1ZyDUlYvkyTAVuBu4GKOTcjp7rKcN6D2OJf9gE/IHlS9QODz1XucNknzv7HXhynwNsBW7E4n65A3hM1/WdWCxBn2MRX83FGtz9f2l4Pmf/dp3tIbO5TgF/ARd1Xd/r4tYO5zabpwT3n/XfQv5nSTcPzKlQKEwQgXDlAk3TxgDX6bo+0cW46VjiSt51Nk5hSXkF5ui6flXUSLkaUPvcfTRN+wA4rOv6q2VhHoVCUXYobwKnCpaU1w75f+majfHF8hdwF13XL5bm+sojSuCUPdQ+d01+jFBVLFanjrquG4OVS3UehUJR9ig3LiqAfL//B8C9Tobdj+UL+5r70FdcHah97hYdsdTs+bCYosRT8ygUijJGubLgKBQKhUKhULhDubLgKBQKhUKhULiDEjgKhUKhUCiuOpTAUSgUCoVCcdVRLkqIh4VU04/+e/ZKL0NRfjmq63rYlV6EK+rXqqH/nZxypZehKN+Ui72uUJQG5SLIWNM0/ezHXQEIiuxH2q4l1nNBkf34++RZ2j3wPikpKTgueqq4VtE0DV3Xy/zG0DRNPz7lMev7hTPXWn8eMDYWgDH70rjpppt49NFHS319irJPednrCkVpUC4sOEaCIvvZvF+ydjdt27ZV4kZxVSFEDUDSmgSCYxqxdu1aRo0adQVXpVAoFOWDcilwBMKS881Px5k8c+4VXo1CUTIkrUkAYFPSv7Rs2ZIOHTpc4RUpFApF2afcCBxhtZHdU4IjJ87QrJkqxKso/wR3iwEgJX693bmjZy/QtGmb0l6SQqFQlEvKjcARyO4pIXaqVK7EmTNnCA0NvVLLUig8wuWo3gTlphMS2Z2sXesAiwVn445kskLgTJUzV3aBCoVCUU4oN2niuWG9bF6CnFyd9IuZnD1b+llW77//PnfeeSfr1q2zHisPQduKsktQbrr1Z7/I7vhFdqf9tKFEt6lJhUY1OHfuXKmv6e+//+bOO+9k/PjxZGVlWY+rva5QKMoy5UbgXNzzrenxrUcuUKFyDaKjo0ttLdnZ2bzwwgvMmvkK0W2b0LNnTy5dusS2bdsIDQ3l559/LrW1KK4u5kyfbHo8LC6C5XsOM3jw4FJdz65du4iOjiY8PJw1a9bwxhtvkJOTw5AhQ+jZs2eprkWhUCgKQ7kROH3GLeXMWfu/Xk+fzyI0NBQ/P79SWcfGjRtp06YNG+LX8PG7r7B77wHi4uKoVKkSb7/9NiEhIYwbN47Nmzdz5MiRUlmT4uph0qdL+W7ZStK8AwGsbiqAsxUqEx4eXirrSE9PZ8SIEcTGxjJ27FhuvPFGtm3bRp8+fTh06BCLFy/m4MGDzJ8/n61bt5KZmVkq61IoFAp38ZjA0TTtV03TOkvve2iadlDTtAxN077SNK1y/nEvTdMWapqWqmnaaHfnb9/5RmL7DOHU5crWY0GR/fjxsD/dunXz1GPYcOzYMX788Ud69OhB586due2227jrrruY/EA7fpjRj4efHseOPYfp3bs3kyZNYu3atcTExNCkSROefvppOnTowOzZs0tkbYorR0nu9VWrVjH8+RdYsGABWrU61uP7T53h/PnzNG3a1OPPk5ubS3x8PK+88gqtWrWiZ8+etGzZklOnTrFlyxa8vLzo378/zzzzDFu3buW5557j8uXLvPLKK8yZM4eBAwcSExPDyZMnPb42hUKhKCrFLvSnaVoP4A7gceAGXdc3aZpWFUgEhgDxwFzgH13XR+SP7wjMAr4C7tV1Pd18dus99OzsbHx9fXl2xGNMH9gEsAQZf/jLv3x7qAYbN270aB2c5cuXM2TIEKKioqiin+LR/p1IPX+R/3RsjHfSagB+SgnnrmfnU7uKH3d2qkGf9tWJ7TsQLy+LbjzyTyq3j/iIx4ePZ/jw4YAlbuHs2bN4eXlRpUoV6/10XScpKYm0tDQuXLjAxYsXycnJ4fz583h5ebF582Z27NjBqFGj6NWrl/2CFQ7xVPGzknOy7VMAACAASURBVN7rmqbpuq7z4osvMmnSJI5OegTv/L2U8MMuHkj4i0XfL6d79+7FfRQr586dY8CAARw9epSwsDB6NK5BaM1gqlYOoHGqRbAERUfT/MHn+Offk/ynST16RTTk3iH3UbNLL7J2rUPXdV76bDFfxG8nISGBihUrApCZmUlqaiq1a9e2+bd57tw5/v33Xy5cuEB6ejqZmZnk5uZy+PBhatSowbfffkuFChX44osvPPac1wqq0J9CUYAnsqi65s8jf3D3Abbpur4EQNO0V4AVwAhAA7zzr9EAtxSWj48P7du3p4LBFTWkey0+3nCQH374wWMxAceOHeOBBx5g+esD6dyqvvV42q4lkFTgdgoLqQrA4O61eLZPPQDSd39vPV8dmNwnmIeeHcVrr72GruucPn2aSpUq4ePjw9y5c+nfvz8A//vf/7jvvvuIjIwkMDCQvLw8Nm3aBICfnx8VKlSgXbt2bNmyRQmcK0ep7PVbbrmFSZMmkZOnc+znBMLiIvD38eHZm9ozZcoUfvnlF6uILi7Dhg2jVrUglnyyAl9fX07MnkrSij8Ii4sgaY3l3mkbN1Kvbh3++fckU2rUg9M55G7bSlblAFLi1xPcLYahYcF8vfIcDRo0wNfXl/T0dNLT0/H39+emm27i008/JSgoiMuXL9OyZUsyMzMJCwsjMDDQJkgfYM6cOQwdOlQJHIVCUSyKLXB0XZ8IoGnaf6TDkcB26f1uoKamaYHAauAh4AgwVdf1DHfvVatWLapXq8KSvZU4svVHHo4ELy+NN0b344GHHuKHH36gbdu2xX0kNmzYQEx0O3txI5GTqzNq1lLq1atHfMI5Rvasi6+P7ZfOge07uaVNJFunt+PgXwk0aNGc6oH18K/gzbYjF3jo8QGMHl2b0NBQdvzxK4+39WFIF4uAupytc1+Cxn2PjmLWrFnUqlWLEydOcN111xX7+RRFo7T2enZ2NhEREfjf/zTvbx7G6AsXCYuLoHWXaBZPep+nnnqKd9991yMiZ/369az+egG+vr7WuB8oKC4Y3C2GH45n8s+/KwDIvCeWLq0sbrItE+YQFhdBSvx6ktYkMLtBUy7k5pKn61SsHcJ1Pj7k6DqfHNtHnTp1iIiI4J/9CTTyqUCPS1Xx2XseOE+rsAasruBHhw4dWLBgAb/88gs1a9Ys9rMpFIprm5KqgxMEHBVvdF3P1DQtBwjKN9Hf42oCTdMeAx6Tj40ZM4ZHHnmEQ4cOAdDsrYe5NboZcZrG+8/25NZbb+Wbb74hJibGdM41a9Zw5MgR2rZtS7t27Ry6tLZu3Uq7Ni2t74W4ObB9p/VYRpWG7DuezvHjx4lsUpdf953nppZVbcYAHNyxC4Balb249Pd+/KNaA9C2QWW2Tm/P0ZTL/LpxC3fE+FHJt2A9FX01pt9WibnfvEHNQI2UlBTuv//+Us+iUbikWHvdbJ937tyZqKgomnaMIe3CBc6lZ/DxuCfw9fHh2+cfpu9zr/HQQw/x4Ycf4uvrazdnamoqixYtIjg4mH79+lldRkZSUlI4f+4cjcMbWB4kN93GNLVxRzJh8euZ/fMeJk15AV3XefG9N/jx9fFsmTCHjTuSbebbsTvV7h7RbWoyvfeNvDqxLX8sXYlf6zq0rlPDKqAAftt+kuuzkvnz+GIqV67Mnj17+Pjjj5392hQKhcIlHmu2qWlaEpYYg02aps0EsnRdfz7/nB+QCfjrun6pCHPrYp2XLl1iwoQJNGjQgLfffpsalbL5eMo9NK5Xg3VbDvHwKz8yf/58q8jRdZ2NGzeyYMECli9eREhwEJv3HKNiBR/69O3Pq6++SlhYGAA5OTmMGTOGjz/6kHkT+nPXf1qTtmuJnWgBaNQ6ki6TtzN26mxGjBjBX9NbkLx/j1vP0yRf5Ajk+cU54z2TzuQy7efL3NDnET744AP3fnEKwPNxCSW11+V9DrB48WKOHz/O+vXrWbt2Lc+PGsYTN4RzOSubMe8s4HzFanz11VdWoX769Gm+/vprXn95Kk2D/Fm512INbN68OWPGjGHIkCHWuTds2MDQoUOpkJ3BhjkvsmXCHJu1CPES3aYm+2Na8unKdUR07kbWypU8XM9i2fx8wzHCA/yIblPT5hqBOB4WF+HwmUVD0cQMS32dXHT+8c1gk086O/cfVMU7C4mKwVEoCigpgfMw0EfX9b7551oDX+u63qSIc+tm68zNzWX27NnMefNlEr79LwCvfvoL499ZSWid2ox59jmWL1/OkcQD3H93H/zSD/F1fBLhDevz3/9rxo8b9jF38e8s/HoZHTp04L777iPj/Gk+nP0ydS//aRU32w5l0baRbexPk6jWrNyeyvhFh+nTPpiBjdOcPoPZHGIeZ8hC59i5PIavyOF46mWn1yhsKWGB47G97mifAxw6dIjevXszbWBPbu/ajsysbK7r8RABAf48/PAj+Pv7M2/uB/S4qRs3N67Flz9t4NSlXB6/NZqIbrcydNRz9OjZi+nTp7Nu3ToeeOABPpg1nR51/Hiv7zSrwBCEB1j2anSbmrSe8gj/efg5Lufk8s6dN6Ft+wewCBohYsR7MY+Z8BkwNtbGciNfBxaRI66bsG8v/9e9NU99o2pKFQYlcBSKAkqqDs4S4EZN027MzzJ5GVjo6Zt4e3vTvn179h89za7LTbh0OZuhd3Zm+6JRjHp6CLu2/MadPW9k009fE1qnNq8v/J233/2Ath1vpO/IjxnYqy3v/Lc/r4x7HH9/f3wzjvD9y7dTu9b1Tu8rREnPqOrsmNGBqXc3cDoOMBU3rjBacepep3HhYiZNavvz8MMPc+rUqULPqfA4pbLXGzVqRHBwMMs2bOXi5UzymnTi6K7NfDf/Qy6nnYHL6fy2cgkjnh3Pp+u207RTN2a9+Tbvr/yN9Rv/YM2rozizfxvVq1dn0KBBfNgnmjt634aPt7eNSJGJblOTsLgIi2tsSB9WPHYHDaoXxIANGBtLWFyE1UIT3aamjTCSSczIshE34hpZ3Ag27kimaWAgU378ndYhNVi2bJmqmqxQKApNiVhw8t/fDrwN1AC+Bobqul6kamDO/rLVdZ1Zs2Yxbdo0zp8/T8WKFencuTN3dqzKk3d3ITesF2263k6Avz/vz/2Ydu3aAdCyZUtOHj/CqZ+nApCVncPlvcsB28aeRpEhixYz11VRxonzxmvMrD7/puVxMVtnQ0oVvtyayZgxYxgzZgw+PuWurVipUZIWnPz3HtnrzvY5wJ49exg1ahSrV1vKFNStW5fY6E5M/r8Y6taoztIj6Qx8fBiTJ0/m2WefxdfXl61bt9K+fXt+fH083aMiyMvLY/PED9i88xTRbWrSftpQtkyYw+cbjtncS1hSZPeS6IkljovGoIA10FhGjJXdXYKwuAg795RMDnlUrqhRq0EA7yUl0aRLF9566y0iIhy7uxTKgqNQyHjsW1HX9TDD+2XAMk/N7whN0xgzZgxDhw7l559/Ji4ujrVr1zJkyBBW/LaXvv+XQdPGDdF8r7PJsLrlllvwO1sgPIS4AfOO5UaciRbjuG2HCj7AjYJFnsdsTqPIqR1kMbqFV7/AQ7FNGP31PBISEvj00089ljqscM6V2ustWrRg1apV/Pzzz7Ro0YKUlBTeeOMN7hv9MlpgIK+9NpOAgAD69u1rDT4OCQmhsn9FOja3VEA+8+tv+EjB9aJreXiAn43QcGTVAfuYGrnzuXBTCUuOcS6Rfi7EkJm4AfDBi0uX4cjei3x2QxSLEw8T2/UG1qz7lcjISOe/KIVCocCDFpySxNVftmbEx8czYsQITvxzjP6338Kcjxdx/Phx6tSxVIfds2cP3bt35/uZ99GpVX2HosZMdMhWF1fI4gYsAseZ4CkMTaJaczEzl3vnnqRLj3uYPn16kee6mikvf9UWZZ+np6fzxhtvMGnSJCYM7s+0T79j3LhxvPzyy9Yxd9xxB1WyzvLuqIc5+9tvNtcLoSFbcOT4GSNyfRywpJELgbNw5lqbGBxjPI4xCBlsBY5RZBnX8/Pp08xJTWb7nn0qjdwB5WWvKxSlwVX7J3+3bt34/fff+U9cD7wrVeOff/6xihuw/DU8f/58Bk9fxeHjqVa3lCtcBQVvO5Rl8zI7fzJNs76MY5xda+TA9p34V/Dm1eG9WbzoI2v6vOLaITAwkIkTJ7JgwQIOZ1Vk4cKFvPTSSzZjPv/8c7i+AZM/+sruemcZTmbnktYk0H7aUBv3lGDA2FgGdQm1EyqJGVlWy478goJgZtniY/Z+445kbq5Rg5rZeXwxbSzZ2dkO161QKBRwFVtw3GXWrFn8vPhDlr/1iM1xs9o34Dq2xpUwOZlm+8dVrSDLcwlLjhBAZscdWXuCG0fwxIcH2PZ3Fu/P+5T/+7//c7qGa43y8ldtSe7zlJQUWjdvwqf/dxMRtarbCBSzmjZmbiX5fXC3GGuhP8DmvJxNJePMQiNwdf749TksT06mYUQ4i9duJDAw0G78tUx52esKRWlwzQuc5ORkmjdvzunV420K/zmqf+OoTo2MmcgxChsZWcy4Ekhm6eqCv/5O5953DzNu0ks89dRT4sOOc+fOkZycjJ+fHw0aNPBoz67yQHn50C/JfQ7w0EMP0b6aF/2CbEPvRPCwjFzDRoiX9tOGAuAX2R2w7XQuRJKjmBqBI5HjDkLo5Oo6GwIvcMwnjx+37qJWrVqW9WRlkZyczJkzZ2jSpAmVKlUq0n3KM+VlrysUpcE1n3pTtWpVsrKyOJl6gdrBQYB74sZRHI04LosVZ+JGxh23lBF5nRWAlWOaMnDGc4wfO4ImtSuRkXGRgyl5hARp5OCLpkFsz7u49dZb6d27t03DT8XVTWhoKPsSNoPUgsQMOXvKRvzkW2yCwVoYUIgeqzvLhcgRAchFETnyNSEXK5Dpm0692iEEaT4Ee/lyMPcigZo31Sr6kZyZSWTd67n1ocfp168frVu3vuaEvUJxrXPVxuC4y4oVK2hWryqVjv9M2q4lLjOojOLGEYURK7IAchV07Cw+Z9uhLDKP7+ejfl58N6gSsTUz6VjTi1dj/fhmUCCLB/rxdm9f6p34hrmTBlOvdjC3dmnGX3/95fZaFeWXLxcuoIu/t00WkxE5BVweI7us/CK729S/Aawur6JaZ5xhjMcB0NBomF2ZwYTyH70G9XID6EVN7tPr0uPS9dyXV4d7AqtzYN6H3Ny2Aw2qX8eMGTPIy8vz+PoUCkXZ5JoXOC1atODUmXTM/rgzigl3xI0cQOyu5UZcJ+5pnMsVZqInqKJGeFUvbqjrTYCfZQ5N0wit4kW/ln681tufpQ9W4pbwHG6KuYGvvrIPQFVcXbRo1ZqUjMumcTNG5LgcY0ZV1q51VkEjMqhS4tfb1dLxFM5EkxcaVfClIf6EUNBzyxcv9iekE3TCh//TQ2h/NpAvXnqJvn37cu7cuRJZp0KhKFtc8y6qxo0bcznPl+NnMgmtbt6UUGAmbuzdU7aCpLAiR8TjmB0Xc5mNcYVZkHKAn0ZXv1N8O7wxD44cyq5du5g2bVqh51aUD7p27crew4e5gxwgv5lmXITFzWToRSXjrKifRdSsKtQ6CmPlKU7MjkBDIxg/qqb5cmbLVjp27MiPP/5Iw4YNizWvQqEo21zzQcanT5+mccN67H0tikp+3oB72VFGsSCyn4qLEC9GUWM2zh13lhFH/bBSL2TTZdI2XnlzLgMGDMDPr+j1ecoa5SXwsqSDjB977DHCfTIYWNM280iIFxFXY3Q9pcSvt8u6KilrTUkTHuDH7qqXSYlsxaxZs2jWrNmVXpJHKS97XaEoDa55C86pU6fw8tJYvi2Vuzrb96Byx2pjESHOP1OciRUjYpwji44j5ABn4zqdcWD7TppEtWbmwHBmTHqaY8eOMXHiRLfvqygfnDv0F0tPn+GufjdSwcfb5pyxm7gQNH6R3QmM6o1fbjpZu9aVqCtKxlXqeHHwOq6TeDye6DWRHDt7loCAAI/Or1AoygbXvMCpV68e1a+vg5+PJRxJWG/cDSQurGgpzjhHgkVUVnYmaIzVl41i6MD2ndzerjXNQvzp9eZsxo0bp/pbXWVE97mH+a+9jI+XZY8Za9dAQbyNX2R3axp4UG46J2ZPtalUXBLIFZRlK9KLUwrnAjPOaSw6WAFvuhPMhrwUvvjiCx577LGiL1qhUJRZrvlvsNGjR9O51gX6tm9sPWYM9BUIa0ph0789hbGKsju9qwpL49r+1KtXj19//ZXY2Ngiz6MoWyQkJPDSlEmsf+8FvA/usza6FFhFwI5kS5NM0Y4hP4i4OCLDXcyaeFoo3L3dtf608anMt99+qwSOQnGVcs3G4Pzyyy989913fP/lh/w2NYqgSj521hszAVMYV5MnkF1UclVjI2YxQe6cl48LAfXev7fx77//Mnv27GKsvOxQXuISSmKfnz9/nnfffZfP577L03feyiO332QNEpaL+5WkZcZdjA06hStsUJfQEnGL1fX3YYb3KY4ePUrVqlU9Pv+VoLzsdYWiNLgm08T//vtv7r77bqqfXM43o1q4LW6KgzGWplaQbn05w9i3ypVbTE4Zd9bzCgrEjbE683/4lsWLF6uaIVcBo0ePZsPyb3iqXTMe7m1rkRPuoLIgbmQSM7JsBE1Jxfwcv5hDG19fli9fXiLzKxSKK8s1KXB27txJ8xo5jOwVSpPa/tbj7ogbTwqfwtbKke9vvK6wVZDvvasDTaJa28XmHNi+E04epLJ+ltdff50zZ84Ual5F2SEnJ4dNv6ziiRb1uSOyEanrf7We25jviipL4kZuwlla+JzReOXJp9i8eXOp3lehUJQ815zAOXv2LP3v6EdTSdjIBfycpWV7iqK6uYzXOBI5ZjE4onWEGHNg+06n/bTeHNyIHz59iUcffbTQ61SUDYYPH87p06lcV7FgP8g1bIoiJsyqCpdnGuJP7Uxfbo6O5sCBA1d6OQqFwoOUqMDRNK2HpmkHNU3L0DTtK03TKmua5qVp2kJN01I1TRtdkvc3cuLECcaMGUO1AG/+2zfU7nxJWW6EOBIuKXfnkkWVI3eWWdVkuSO5eMkWHqPQMaNToyBG9qrLyd0/ubXWa5myts9zc3NZtGgRixfM5+HOrWgYbOk3JtoviNiboogVR6KovAofH7xolF0Z/1xvUlNTr/RyFAqFBykxgaNpWlVgETAWqIulUMyLQBywFwgFYjVNC3Q4iQe5//77adGsEVWzE/lzejtqBBWkR3uqSJ+MuzE27s4DjoOeBUax4+qZnLm1snPyeOuHf+hw20NFWfY1Q1nb56tWraJBgwbMHDuCd+68iae6tgEKCvYJt5Sn3UGiiWZ55G8uwfVVqF/feRNShUJRvihJC04fYJuu60t0XT8LvALci+ULwBtLiroGlEoa188//8xvHz/NjOG3W4OKCytuzAKFe7b1dSliZJeRO/cyE0ZFzehyJ85HxOIIGreJ5OlPDuLjrfHaa6+5XO81Tpna5wkJCXSqVpFlj/aj5oGzQIG4Kek6NmUpnsddkslkPaksWbKEkJCQK70chULhQUpS4EQC26X3u4GawEagOXAEWK3rekYJrgGA+Ph4KmiZhNWuZj1mrCnjCFfixV2B5Ko2jWzxMWvYaSauitLM07gmYwYVQNqlXFbvOkvzOv7Mf7olv/zyC3v27FEBx+aUmX2el5fHVx+9T+f6tQHbYnlgyZoqr1aWkiKJi9QJqMiGV55j+fLlbN68maNHj5KdnX2ll6ZQKIpJidXB0TRtHnBU1/Vp0rFsoL6u6yfcuP4xQFTgalecYlz79u3j+ioVqBZkCSzOvWTpJnz54kUuXtbJznV8ra83dud9bavcO73enfHyebO5jNe7e1935vGvaBE+Fy/rNscyc+BCtjc5uTpZ2TnkopGVA82bN8fPzw8vLy80sxbsZZC5c+eWWG2QsrTPz507x4njx2hWPwTN0Dok45/TpF/KJjOv7Ne9Ki0qeGkEVvLhTHY2WXl55Og6eoUKZF6+xHVVqtKgQQNycnLKVUXvktzrCkV5oyQFzkwgS9f15/Pf+wGZgL+u65cKOVeRC6AdPnyYdm2jOLnqeXzz+++k7VoCuBd/48pSUpzCf3LDTLMsLjG3mbvKUXdxV2s1IrKrjMfAvj7OY99cpH1db5Ycrkx2djaxsbHcdttt3H777WXavF+Sxc/Kyj7Py8tjwIABtEw7xkOdWtpVA94yYU6ZSwsvCwiLVnSbmtbg6705GazLPkujRjWITzpJ06ZNue222+jVqxddu3bFy6vsJp+qQn8KRQEl+S91H9BSet8cOFjYD/3i8O+//xIZGcnY4Y/YiJugyH6A+7VjChMoXNzAYrPgZDPRImdJORvnCndcbELoVPCBr3dlMf+RELZObU7P6/fy06cTadawDrfeeisLFy7k4sWLhV5DOeeK73OAJ598kr/+2EBkSo7peaO7SiY8wO+adV2JYGu5mODpzByO5F3i7OGz/NCuPTEHz3Jq4SKG3HYbYWFhjB8/nn379l3BVSsUCncoSQtOdeAg0BdLXMIC4E9d16cUYa4i/WWbmZlJlSpVOHVoEwEnbdOdt8x/wa3Cfo4ymBylbJudMx43WmXMrCjGa83W4q71yJngMpvfrH0DwLo956hTzY/GhhpCl7N14o/k8MPebBJS4NEnRzJjxowy48IqYQvOFd/nAM8++ywBZ5J4JNTScsBowRH1b8yqAhsbUl7LhAf4sTfjMklcpDEBNAqoYGPd2ZyRzgEyOKJl0LxDOz766CNatmzpYtbSQ1lwFIoCSsy5rOt6qqZpDwKfATWAr4HpJXU/MypUqEBYWBh79x8iqnUvvJNWuHWdmSBwp6WCu/MZXU/OLElFWUthxhlFk2jrIHcZF3R3EJhd0VejRxNfht3TnpPnsnjwo/8xLSiIiRMnurXO8kxZ2OcAERERLP80nuCBfe3OpeQ3zARzMaPETQGJGVn44UUTCrL6ZVHYMSCQjgTSsfX1bKqmcfvtt/PHH39w/fXXX4nlKhQKJ5SoM1nX9WW6rjfQdT1Q1/WHdF3PLMn7GTl48CD79+8nMyuL3nc/yupN+4GCGBxwLkzEl7w7qdau6t6YZUY5+tl4f1f3dWcdbRv5MXTlZdo28nM6b1Hda8LSU6uKH+8NvJ7pL73I8ePH+eyzz5g9ezZ79+6lPDR2LQpXep8DLF++HN/qtfn24Dn6PTGB0+vibc6L6sVXO552t5mJwcSMLDbvPEXXs9C8Enz22WesX7+eGTNmsHLlSjIySjxhTqFQuMFV3U1c13XefPNNxo0bR7UqQbRqWI0fZj9K2q4lfPn1n4Dr1gxmLhwjrsYUJjbGnZo6wsIiW37MgpHlawC7vlPg2HpkFEFCwIj4JVkkGvnpr7Pc9cYeqgb4ENP8OqrXCeenPw6Q6x3ALbfcQlxcHJGRkWRnZ5OZmUlmZibNmjUrsb+Cy4vZvjguqgMHDnDvvfdyaP9edB1+eXsikY3qW603ooKxstZ4hvAAP6Lb1GTwju0kXbpIi1rBRNW9nsTMXLYfOkb7Dh245ZZbiI2NJSAgwLrPK1asSNu2bUvMfVte9rpCURpc1QJHkJCQQN/bezJuUGcG396hUPE3zmJvXFUWdjSuMJWJnc1rvIczgSPH0jjrQWXWz6pJVGursBGk7VrCge07bUSTuEdGZi6Hky8RUTeAqm3uACxi8+DfKfz0xwFWbzrAgaOnqODnQwVfH3x9vNl39BQjRj/H6NGj8ff3x5OUlw/94u7zzMxMpk6dyvL/LeDX916ggp+vNfZGiZvC4yw2SQicIxcvUt3Xl8ieBf++KnbsyK879vLTlr/4bdd+snNy8c68jK+3F2fzIPT66rzx0QLatm3r8TWXl72uUJQGV73AycjI4IEHHsD7QiKLXh7I1s+m2lk+HOHKiuNOY06zgGB3A5cLI3CcIYsVRynhMvIYWRwFRfazsdwYhZKxeKIsiuTsNTMOH09l3Dsr2LTvDC+99BIDBw70WDpuefnQL67AWbFiBYMHD2bNzLE0D6tjI27g6oi1KemA6EFdQq1iUL6X8b5yejlYstSEG1BkrMmB3sKSVqVrF955cx6vr9vKrf3v4qWXXqJu3boeW3952esKRWlwVQucw4cP0/f222jbugXvPdWR7AMrrK4pQVEzqIpyXXEwi6lxleZurLEjkK097ggcwC0LkNGNJTC6s5wJnQ07jjDy/U3Ur1+fBQsWUKlSJYdj3aW8fOgXxxU7dfxY5n34MQsmD+OGlk3sXFOgBI47c7uLyKySM6yMx6Lb1KT9tKE2Qd6CC5ezePe3HXx14ARff/01MTExdmOKQnnZ6wpFaXBVC5yYmBhu6daeZ4c/iqZpZHz/qFOBYxQuRREqnhY3zqxIRnFiJngciRzjeWNRP0ciRxY34r0sfowxOkarjxlGwXN663c8+dEBTl4OZOnPfxIcHOz0eleUlw/9ou7zlStXMnLoI6x6Yzy1q1fFL7I7J2ZPtVoUriaB40mMFhoZ+biw0oBtPSFZPAqEuDFrPhrdpqbd9X+eO8sLBw7w/mefce+99xb7mcrLXlcoSoOyW5KzmGzdupWjR4/y0BMTnAb0FSf925PXOFqLOxlc4FzcFBazuYSIMbqhXPX0ciVujGPSdi2hgq8X8x5rSteoBkS3a66KqrngjTfeYML456gfewd+kd0B7MQNFGQYXatF/QTid2AUfELImImbsLgIqzgRv9v204YS3aamzUvMI+aX77FxRzLB3WJsXFcdqlTlzRYtGfX4I7z66qvk5JgXalQoFIWn/DRZKSTZ2dl4eXmRl5fHmdwQqnm7bAtU4rhybRlbMLjCNlDavnigcW55HWZjHOHIPeUoBscdUSMwc1cJq9C4btmEhXSja+d2RLbtRFxcHEFBQTRr1oybb77Z7Xtc7WRlZdmI+DTvQGtMiOxCERitFtFtapoWtW25CwAAIABJREFUADSjvBYFFOsOD/BjwNhYktYkkGh45rC4CDbuSDYVgHKa/cYdyYTFRdi4nmQ3lfW/0u9dHPeL7E7WrnU28zUKCODdJhG8+v5bvPXWW9xzzz3Ur1+foKAg7rjjDqpWreqB34BCce1xVbuo4uLiuPXW2xk4aDDVvE+4dFEZ8ZS7yVnwcGHuZ1b92FF8kCNrkDup5OBYvJjF35hlXolrjC4tgSxscsMKijDK4kiMyczK4fv1e9iy5xgZl7P44Y+jDBs+ilGjRpk+i5HyYrYv6j7/+eefGTp0KAkbfrI2hszatc40g0p8eRtdKOVRtLiL/MzivRAcGw0ixChU5OBh+Zx8HGyLAQ7qEkpYXAQLZ661EVXB3WKsAkcWR3JwclqPAfxv3juknr/A0ZMpHEzNYMOGDVSrVs2tZy0ve12hKA2uWhcVwN13380XXywC4ExuCEGR/QpVPE/OenJWxK+wbi55PrO5nVUvdiW2jCJGdnEVJhPL6HpyllruqHig2TVBkf2swiU3rBe5Yb3szhvxadKX/o+M59XhvXnnv/1Z9r95zHh1+lVbOLCwxMTEkHb+HNt2/gVYLDhmyILmWhE3gE0MDRQ8r7PUebPeXbIbauHMtQ7HCQaMjbWKqZBhk6ziBrC6qkKGTaL9tKHWeZo1acS4Qf147elBfD1tJE2CA1i2bFnhHlihUABXucCZMWMGHTu2s34R5ob1svvidqc5plzR2Hid3BFcPmfErJKxWaVkRzE34rjRiuOqcrL8fGZCxFjv5sD2ndaXGU2iWltfzjCL1ZGFjeBMbojdMaMIAmzabDRt3IAA/0rs2bPH6RquFebPn09ubi51Q2oDEJSbbo3FEVYHR4Lmahc3gDWjyQz59yLGDRgbC1jEixwvExYXQftpQ+3mCIuLsHNrCavMM8snE/39lzbn/CK7Wy04QvCEDJtEyLBJnJg9lZT49dbzt3RszU8/2fbRUygU7nHVxuAAfPLJJwwfPpw7+vVk7rxPqVbb8uXZ1qSar6P6NqI3k1F0GHtJ1QoqwQdxgtFVZeYOMxNh8nvx85df/+nSwiVbWJqAqQtKjGkvZVCZiRvAGht1JjeEGoZ7GccKvJNWcFPMDfz0009lqtHhleLuu+/mwIEDtI6J47Wpk3jwvrvsxpSmkClrcTqJGVmwI5lBXUIBi5CRRY8xRgksgkOID6OVRgQcy+JnQP5/ZbeV7JICuBzVG6J645ebTtKaBJLWJNjMk7VrndUyBBC9JoGbnuzPtNEz0HW9zDSvVSjKC1e1Badr1678+eef3HrrLfTu9R9+3ZVqteI4s0C4GzPj7Jwry5AQTsax7rjChKgRL/k6ZwJFPLOr2jfG8WYI4eKqPo6wxsjuKGGNkf9b49g8u2uN42Ru7h7N6tWrHa7vWiIoKIgZM2YQv/5Xpr3xDqNefI1zmj8hwyZZrRGlwaAuoTbBvGWJxIwsPt9wzCZW5vMNx9i4I9n6OzKz8hhjZbZMmAMUiBdhKRPIFp6U+PU2Fpn0N58l/c1nrYJn445kFs5cy5YJc2zicmRx2DDkevz9/dm9e3fxfgEKxTXIVW3BAfDy8mLy5Mk0a9aMe+/pT+L21VZrgrBAmBXNc7edglmFYnGdu7E5jlpCmN3blYXFrE+V3BncrB+VcV65m7ix1k1h0r5la4+jTu6uOrw7Ov+f+mk8sn49ubm5eHt7u1zTtUCLFi3YtGkTPXv25MuPP2DoQ4MI7hZD9JoEovPHiLgTT1tY5ArApYUjS5ExqNiI2XE5qBiwqSMkjsuWHov1Zb1V6ITkC52sXevs0smNAcnB3WJsf1c7kgkzKQYo5rn55pv55ZdfaNWqlenzKBQKc656gSO45557+OSTT/jku995YoAlaycosp+dm8UVhQkoNqZ9uyOanBUeNMNMnMkCxeyYI5FjHN8kquB346jvlIwri4+zCsbGsYIgEzcXQOr5DKpVq6bEjYHg4GBmzJjB448/zn0PD6US2HzhlpQAcTfN3IziuLSE20msQbYcORNdcoq8Wad1uYifTeo39i4tuQylyFwD5wHI0W1qWtPUjYHLIgtLzJeSkkKNGkYHrkKhcMU1I3AA/vvf/zJo0CBu69qY8PxjQuSAfQVfcG5JMca+OAoOln8WriRH1zkTULZNM10LFFeZTa6EjvGcqxYNMkYx40rcmIkYZ9eu33bYY+Xtrza6detGtWrVmDFjBv/973+tX8BJaxJKLT7GnXu4srS4ixADEw2WE+N9zO5lDECWr3XWZ8osbscMEV9j7EvVftpQmDDH6jYbREGaupg7LC4CXddZv349b731llv3UygUBVxTAic2NpbRo0dz/yOj+G3Vl9agvSCcu6vcpTBF+txN2TaOk1spuLNWIWLcTeM2XiuPM2vN4AhngsUV7rR3+HX7YWL6PFboua8FNE1j8eLFdOrUiRtuuIGYmN4E5abTfhp8Hvv8lV4egGmsjhwE7Er0GFsoCIuLo/o2xmOOzhnjcMysMHKQsRyTY7xGPmZG+2lD2dj7BdP1iGc6cvEiQUFBhIaGGi9XKBQu8JjA0TTtV2Csruub8t/3AN4BQoAVwMO6rl/QNM0LWAD0AF7WdX2Wp9bgDsOHD2fu3Ln8sv53bu4WjXfSCkvwq8kXqqM+To7iYNo28mPltmybY2ZNMs3mNI5xdk9xzihy5LnN0r9ljC4rWxx3CTcTN87cV4VxTcnjnF2Tl5fHr9sPM27mjW7N62nKw16vVasWL7zwAq+//rqNpcusK7YzMeEpK4sRWdzIbibIrzcjvZeL5sljhCiR3WPC7SOvO9HgupLnAFvh48wyY4ylEfcO35HMAGxbOKTEr2fLhDk2AslozfGL7M6Aseutx+QGqYId589z441XZp8rFOWdYmdRaZrWQ9O0OUBX6VhVYBEwFqgLaMCL+afjgL1AKBCraZp5VbISwsvLi3HjxjHz3S9sjgdF9jP98jYTIsbsJfl4z7a+poX2xGvltmxTN5icPeVul3D5vVnatzu4Y40x4qxOTmEwq1osI7KujOniM+avpXb9ZjRr1qzYaygM5W2vDxgwgMTERLZt22Y99szyyYUu8ueohkxxkQvnCSEg/9dR3RmwCAtnwdLinI3QyciyZnqZtbCQx8ls3JHM5xuO8eKUVdZjYp1FyRYT2VcnZk+1HkuJX29nBarYqT4LL11k8ODBhb6HQqHwjAWna/486dKxPsA2XdeXAGia9gqWv2xHYPkC8M6/RgNKvRztfffdx6RJk9i8dSc3VLccyw3rRRCAm1/ccpaUUeQU5lrx3jiPjNEaY8HeVSRcO476RckWH9t4HvfcQo5w1IhTzGuG2b2Mbi2rdU1icUJF3vlmC5u3bLsSdUHK1V738/Nj7NixzJ41g+6ffWg9LvokuSNu5BoynuhKbrTWCERNGPFfgfjifyb/yz8lfr2N0BC4G1sk3FiOWjTIWHtWOZlXjJHXLSwxwo0lp5qLtHJZ3JiRnpnFUz/+wVNPPUVsbOml+isUVxPFtuDouj5R1/VHgFTpcCSwXXq/G6iZ/xfsaqA5cARYret6RnHXUFh8fX0ZO3YsM99bZNMHCdyzaJhVHXZViVimMC0TnFljZEuKKzeQ0Z1lFGJmgkOe21FTTGfvna3JrFqxGeL/TW5YL75LqMCToyezdNkK6tat6/CakqI87vWHH36YDX9uY/PB41yO6m1Xt8UdEjOybKr8CitIUTAKCRFU+/mGY3ap1GARPm8b4lQGdQm1e5khLDXGLupGl5ScOh8e4MfEKT2svaOMCMuSEDVyYT53yNq1zloHx4gQQtVvbMTg7zfQuutNjBs3rlDzKxSKAkoqyDgIOCre6LqeqWlaDhCk63o6cI+rCTRNewwosSjSIUOGMG3aNHbu3kfrlgWukCCwVjp2FMhrDCY2ihxXGC04zqw5ZtlQcqCxhZ35mWDOA4fNauMYcXa9sPLI8TZy0LFRHIr4G0euKGfCxsh3y1bzzLNT+eHH1bRt29bt60qBYu31kt7n/v7+DB8+nFmzZjFvnqWYorGmizsIS45gwNhYu7iYosxjPYZ5SwURX/N27xesTS7daR4qXy9bd4w/g33Mj9FVNEj6GeyztJy1ghAWKFlYOhI4wd1iOJ9+kcH/nUHbbnG88847eHld1bVYFYoSxaXA0TRtPGBmT52v6/rDDi47B1SS5vDLv9dZdxem6/pcYG7+9R437VeqVIlx48Yx+aU3WbJojvW4pdKxrZunOJlVzjDWyQF78eRM3IhxlrXZih5HhfsEjixVjo67a+kyBho7cnuZiRszN1luWC++WfojI8e9xI+r1hAVFWU6nye4Enu9pPc5wLBhw2jcuDG7d+8munkYwd1iGABFEigb3RQ5zlxGxuPGjCiZiVN68OKUVQXBwg7iZsyysszuL8aYuaWES+lylCXrzChEZDeUEFmy9cjYekEma9c6u2abKYbifufSM7h90nt0uulW3n77bdWaQaEoJi7/PNB1/WVd131MXo4+8AH2AXKToObAQV3XLxV3wZ7k8ccfJ+HgUX77fYv12JncEAL6zKNJVGu7DCVHXbOLgiOrj5kVSG4tIQstY1sHsWazjCsjZu4lMxeTaLPgnbTCZYxOYQOPzaoUGy08iUf+ZtjYF1i1+qcSFTdw9e71ypUrM378eKZOnUqadyB+kd0tIie/27W7mAXgGucwZl3JriFnbNyRbA0qdpRRJK9DzC1+lv/rTqXmsLgI0yBngIrbl9sIEfkaeT3hAX5WF5cslrZMmGPnVgNby40oCJi0JsHaWXz4m/Np27GzEjcKhYcoKfvnEuBGTdNuzM8yeRlYWEL3KjIVKlRg6tSpjJ86y9pxvJr3Cc7khlizqooiaMz6ScmZUsbeU2bI1hlZfDhajxgnMFpYZKEjssDkec0ClgG3xY0RR4HOArnPlCx0jPcZP3UWo0aPpXXrwmd7lRLlYq8//vjjHDhwgA0bNgAFwa7FyZASX/ZC5JgJGaM7SEZc40iQiPkLm/XlaA3y+xenrLIKqujvv7SKDLmTN1iEiBAwC2eutRMzAvF7NNbjEfMZrTUyKfHr2Z4VxK97k3jttdeUuFEoPESJCBxd11OBB4HPgGPAKWB6SdyruAwYMICMy7ks++EX67Fq3ics8ThS6rhRALhqiCl+NhM7rrKmzM7JqenuuMtcCSLjWEfWF1e9ogqDO/Vw5DEbF89m6859jBw50mNr8DTlZa8LMT9t2jR0XSdr1zqCu8UQFhfhtpVFRnzJL5y5lqQ1CTZCycyiI4J9xTFn99syYQ4vTlllrfIrBIpZcHNR1i4wxsaI51k4c62dKBHWHtnqIyMsUGJsWFyEU1Ejo+s6I0eNZtq0aQQGlmolAYXiqsZjQca6rocZ3i8Dlnlq/pLC29ubV199lWeeGkpcbBcqVaoIWFxV1fKDjkUAr6vWBs7SvB2JEleByaJ2Dtg37zQTSuYF92yDpp13E3evUrGMCDQ2Vj6W11RYklMvMHjyIt6Y/SGVKlVyfUEpUl73+oABA5g1axYLv1nMXU2rWY9bv7AL2SzTmn1kUkjPLLNJDuY1S9deOHMt0SLOxaS31ecbjlnmNalSHI3zCshmwcVg7zYyEy9inUK4yM9vRA5EdtaLSh77xrqtULk6DzzwgNPxCoWicKgQfeC2226jbYfOvDjzXeuxat4nbMaYWR/MrDPuIAKJnYkbdzOyjMhZTWaWGXeDpdN2LbG+3L2vQBY7AvH7czSvHHR86XI2d4z+hAcffYb+/fu7dX+Fa7y9vZk7dy5jJr/E8dDOdtYLTxT0M8a1mH3Jyy4cOY1bnIMCa42jCsQDxlpqw3y+4ZjDNguOEC4x2Uoj164RcUBmwcIibsZ4P7EesE1xF+/l6sUyP2X78M2RFBYvXqwaxyoUHkYTsSdlGU3T9JJeZ3JyMpGtWrDsyw+Iat3C5pxw04gvZWOatrPu4AJj4G9RelYVtnWEWUYV2FuiXPWYclUE0FmHcXkOcF29eH/SKTo9+BZ33nUfH3/8sUfiETRNQ9f1Mh/YUBr7HGD06NGc/Psw7334KUG56Wzsc6+NNaI4hfxkQeKolgzYdt0G26wkY58nKGh/AAXCQW7R4KylhFEkyZYYETMjCxSBWaaTWdCzMX3ckRXH+LsY8vIcVm/fx9q1a2nZsiWeoLzsdYWiNLimmm06o2bNmkx98SWem/IaqxZ/YlNFV/w3KH9s+/zMovZJK9gy/wWnQscMM5eVo2vdidcxQ4gos+vMgpHFf82EiDjuSOQUxQXliI+W/sGTT4/glVde8dicClumTp1KkyZN2Lp1K7Ftmtp1yDZzL31u4jIyw1E9GoEsUuSsJDNhInpQAbQHQoZNImvXOus1g7qEWtdldl+z9HMzi1JiRhYLZ661Ezl+kd3BSTaXo/nEsxkrGYuaOCnx68lpFcnKP3dz7NgxFXejUJQQSuBIXLp0iSpVLDJGdpmcyQ2xBh7Lxwh9lKjJFqEDOBQ7tYJ0u1o0jqwxjjqSF9ZlJbdkgAIrjXy/e+/qYHedsTlmUbqBm+Guq+vHDfv49H+veeSeCnP8/f1JTU2latWqpHkHEjJsEjDVKnDkeBNhdWhPgdXFnW7f7riLHIkGGSE6UuLXW8VG+2lD2TJhDht3JJuKGpvUcZPYGYF4blHIzyxuxmh1cbZms3sYLUDCKrVl5wFuvvlmJW4UihJEuagk/v77b6LaRLJ70w8EV69qc+5MbojL66t5n8DbYNWRceZKcqe9g7P6NkZB4wxn45y5qcB9oeIu8rxBkf2Ium8Wn339g0fTwsuL2b609jnA4MGDCatVnZHjJgEQlJtu1x/J+OUuCtW5EjrCciK+8OV5ZNeUsbeVuM7YYNOsJo7RomQs9GfsmC7WI88h7mOW7STWbHZOTgV3FkhsFEziOoD0OhoH2rZl0aJFDq8vCuVlrysUpYGy4EjUq1ePu++5jydHT+bT917F37+SNf6mWr71xih0qnmfIOP7RwmK7Mfp0EepFtaLqMm94IWOgOOgXkfxMc5w1DpC4Kp6sTs4i8XxtLgxzpm2awn+Ff24ePGix++jsGXChAl06tSJzt3juOGGGyRLjj0i02hjn3uBguBh4UIyqzNDfr2Y6DY1bWJTgrvFOLSCJGZkWbOshJgSlhphyXHUYsKRuJExirIwg7sMCoSNHP9jJmLcDWg2Pqu4bn1qqtrnCkUJo7KoDMyaNQv/oBp073U/R44etx4XBelqHJtnl2F1YPtO0nYtocaxeVYBFDV5M2AvOuR6NuJY20Z+bsfYOOon5W7gsdk5+VpX4kZkZpkV8jOeK2xlYwD/ir7qg78UaNSoEV988QUPPPAA8+bNw5nlyC+yuzX7RwiMkGGTCO4W4/CLXmQqyYXxktYkkBK/3k4wyG6mjTuSSYlfT9audbzd+wU7keSMxIwsu/UM6hJqd0xkZ4lmmaLRp2y1EWuUG2uK8bLIkrOq5PdCTJk1F/18wzEqenmpfa5QlDDKgmPA39+fBQsW8NZbbxEddxejnh7CqNuux8+34FflnbTCatGBAlGQG9YLcuHPhAqEN63usm6OQAgMR/E3ZjgTMIURO+7i7DmMoqg4Qcc+malculRmuhxc1dx66638/vvv3HnnnSxf8i3vzniZiGZNHI4XX/rC0nM5qjdhcetNa9YIrNYUSagYLUBgGztjloYNttYbs+rG4QF+lsKF+eMGjI21sx5tzG+hIKepJ0rrFy0WrHMa3GiOOpfLz+VMjEW3qQk7kqnfqSGXDpxxOE6hUBQfZcExQdM0RowYwR+bt/Dbn3uJenAevxyv4XB8QJ95ZPZaYbXeRN/YgMT9qQT0mVdiazRagtzBkfCQBVBhrC5mBf3kexRF6GTl6KoeSCkSHh7Oli1buPOeAXTrcxejXnyNfy+bi+yQYZOI/v5L6/ug3HRChk1y+KXvDLnNg6idI0SOsKiImjRGi48QG9Ftapq6owaMjbW6tIyuJ3FOrtFjXL+py82AWY0fWUwZe10Z15eVk6v2uUJRwiiB44Tw8HBWrFjBS9NnMOSp5xj0ajxHfKJssqnMWhkkn0oDLJacqMmbPdag0xGiOrEQPc6aggoR4kx8uCtyPJkeLkg4nkGrVq08Pq/CMT4+PgwbNoy//vqLU6dO0alTJz5b9hPnNH/SvANJ8y7I9BHvxbE070DaTxvKxCk9nN5DuKvMcFQQMGlNAlsmzLGx6MiCwTif6DH14pRVNlYUYy0a2a0kzonMLHn+QV1C3WraWRT2nTqj9rlCUcIogeMCTdPo378/CfsOUL9RSzrG9ueZZ6fyz7+2H67VvE9Q49g8ahyzWG3Cm1YnvGl1zuSGWEWOLDocuaLMYnGcxeeYpZs7su446znlaGxR4miKyqnzWWTjQ506dUrtnooCateuzRdffMH8+fOZPXs2MTExLF++3C4+Jyg3HbCIm8TERPYENQdwKXJkZFeOMVvLUR0dYdERwsOZ+Ni4I9lm3i0T5lhf4rxwj4m+USJmZlCXUCZO6WEVUCJmZ1CXUKK//9LOKmTMlDITUMaf9yafITIy0tmvSKFQFBOVJl5ITp8+zcyZM/noo48Y8H+9GPvMI9Sudb1Nx+2ERp8R3rS69ZrE/amEN61uFT8ijdxRIT4z5OwpZynhch0eY2q5K4zzi59dYWbJMaZ/mxUOFIhzmy9F8NIX24nfsNntNbtDeUmdLUv7XNd1li1bxuTJk9F1nXHjxtGjRw+uy8uwjpEtO2ARPiI42Ex8CFeQWa0ZOfXcLKVbXCfGvjhllctnmDilh7Uispn1SFROFj2uROq5sUCgWIuxcJ9MYQoBAtz+xWre+2wRnTt3dvkchaG87HWFojRQAqeIJCcnM2PGDD75+CNWLf6EdpUPW8/lhvWyxuNU8z5hk1ouMrAyvn+UL7/+E7CvVuxIYMhBy2bnixpc7CyWx2x+s9YPYF8rx50igbIA+vivahzJrsfs2bPdWre7lJcP/bK4z/Py8li6dCkTJ06kQ2QLPn7ndZvzwooTFVbTrnGlnELurF0C2IocuT6N0RIixpmlp5shxIoscIR4cdWc07hWuZ+UeFaj2HEkgGRy8/JoNvMLTp065fFCf+VlrysUpYESOMVk9OjRHNy7kzlvTKVGcDVrTM7p0EcdXiMKAqbtWmJXXVjGmSWlOIX+nM1jtgZ5nFwZ2RVmVhqzY4IR8eF06tSJJ554wo2Vu095+dAvy/v85MmTNGvalC/mzqZn3M0259K8A63WGyMiK0lG1KwxEzkCWSSYWUdka4uY0xHiXkYLjVkvK4EsgtxdpzskrUkg6eJFxqemcPTo0UJd6w7lZa8rFKWBEjjF5Pz580yePJkvFnzGcyMfZ0SP6miaZg1EdlQB2ShyHOHIKlOYSskCR2nrrgoImt2nsALHDFngbM9uxf1TlrBlyxZCQlxXjS4M5eVDvyzvc4AffviBEcOepmFYPd57bTph9Qqyj8xEjl9kd16rZ9/EUiC7gcyqF5s14wR764rxvBExXh4LtqJoUJdQmzlE00+5CKCzwGVHQsd4ja7r3PnJMvo89jTPP/+86TXFobzsdYWiNFACx0Ps27ePG7tG89uq/9EwLNSmWafgTG6INR5HCByw/aI3ChBXosPMvSWuM7q3jPMXNs1c4K7AAXuR46ga8pQ1GiFtevPss88WaU3OKC8f+uVhn2dlZTHiicfIyc3hg9dfBQpicWSBIwoDOhM4AmN7BmNrBjPxYrQAOWodIbdwMAoks3YORquO6IhujOMxi9ERPwuMlqf204aSfOY8UY9O5PTp03h5eT7Ho7zsdYWiNCj2vzBN0x7UNC1J07R0TdPiNU1rmn+8h6ZpBzVNy9A07StN0yrnH/fSNG2hpmmpmqaNLu79ywrNmjWjdctmHExMsh4T1Y/FS8TfJO5PtbnW3YaWxswrUQHZLFDZLHanKOLGWeFBd2Ns5JfZHEGR/Ug860vjxo3dWtOVQu118PPzo/99AzmYWBBzFpSbTlBuOmnegdaqx9uTkknzDrTWuRE4srLIHbdFFpJcT0bGLMtKjBvUJdTmZYaZJUjU3zHiTgVlubqxsbKxvD6A4wF1qV27domIG4VCYUux/pVpmtYYeBd4AqgB/Ah8qWlaVWARMBaoC2jAi/mXxQF7gVAgVtO0q6adbtMWUTYCR0ZYc8KbVqdDRKbNMYGZ+0gWKrKQEcdF+rmchm6WJi4sLkUpECiLHHk9nuxNdeToMRo2bOix+TyN2usFNGnShAOHDtsdF+njgsTEREKGTaL9tKFWkeIoBdwMWSyI68yuXzhzLS9OWcXnG45ZRYr4WRQQdISzc6J2z5YJc/h8wzGnqekikFm85MaaUBC3s/voSerWreviyRUKhSco7p8RNwFrdV3/Qdf1S8BrQGugD7BN1/Uluq6fBV4B7s2/RgO8sbSJ0ICybZMvBI0bN+bQYUvgoFG8CHdUhRW92P5CR7yTCiofu4rDKWqhwMJYacTLiCMLkSfZsf8fTpxMITw8vETvU0zUXs+nbt26nD1/nvT0DJvCf8a08aiwmqR5B3I5qjfR339prTwsCwXZOpMSv94qBMzSumU3k+DFKavsjsnXmsXbiPfuZGE5QgipsLgIBoyNtQog+b7i2YT1Rtd1vp8/h+7duxf5vgqFwn2KK3CWAMOk9+2Ai0AksF06vhuomf8X7GqgOXAEWK3regYmaJr2mKZpWzRN21LMNZYaNWrU4GxGXqGukYWQu+naRaVJVGuX8zgTO/I8nuLv37/hrmc/47333vN4yqyHKZG9Xh73uZeXF9WrB3M0zXa/BuWmW11TUWGSWyox0TTDyhHG2jFCLDgTMkYmTunhVoaVuyLHkaVHNOB0hPwsb/xvBafOpDFy5Ei37qlQKIpHsZpt6rpu/YTRNO1OYA7wHJa/bI9K4zI1TcsBgnRdTwfucWNGKvRbAAAdHklEQVTuucDc/LnLxV++gYGBZGSY6jXAYsUJ6DOPqD5wOjfEJtC4qAG/ZhhFTElUI3aW7u0ueXk6Qz/cT+87B3Hvvfe6vuAKUlJ7vTzuc4CAgAAuXrxojb2R3VNypeOlS5fSt29fUt78wFSQOBIpxowneZyrlPDEjCwWzlzLM8snm6apF4XoNjWJltYRHuBn1/zTGCsk1+6J35HAW1/9wOYdu6hQoYJH1qRQKJzj0oKjadp4TdNyTF4f5Z8P1jRtKfAW8LCu6+8A54BK0hx+WMTU2ZJ5jLJBQEAA6enpLscZU8cdCRBjzyg57sYdihJvI+PMiuMoaNhdgiL7sfDA9VzQr2PmzJlFnseTqL3uPrKYl8VNeHg425OS2Z6UzNKlS9m0aRNLly4t1NxyC4Rnlk82bVjpCCF+EjOy2DJhjl2mVGEwEy1m9xI9suQu6SIrLLhbDBmXLjN42nt8NH4o9erVK9QaFApF0XEpcHRdf1nXdR+T18OapgUAvwGpQDNd17/Pv2wf0FKapjlwMD924aolICDAzoKTG9bL5iUwZlK5S2Hq1QhcjS9OjE1xRM5Pmw8yYsIM/PxKthmpu6i97j5me10QHh5OeHg4ffv2tbYicNZvyhirkhK/nvbThpr2ejJjUJdQm/kGdQnlrbUv2Y0rjFAS4429pBx1CHfGniPHqV03lF5jXinUdQqFongUNwbnfuBfXdeH5JvjBUuAGzVNuzE/y+RlYGEx71XmycjIoFIl6x/zdoHGApEufiY3hNywXtbYGEeWGWGJMQoVR8eNGKsPFyWeR6yvOPE3IiVcuLf2nsgiIqJo3ZivAGqvS4i9bgwuFinjgpYtLdrPL7K7aSaVUSzIKdYp8ettAo/dQcxtLLxXWOsN2AYSC6Ejp64bLTzGtYt1H8gNJKKV5+LWFAqFexRX4EQC3YwmfSAQeBD4DDgGnAKmF/NeZZ5Dhw7RsG6w9b2Ir5Hfi2O7txWUaXcWI+ModdxM7JiNM+sb5UpQCcwsO57oMH7i9HmGzv6TtLS0Ml/7RkLt9Xx0XefQoUMOs96ydq2zSxnP2rXOLqNJttzIAsKMAWNdFwyU5xZziXo4RUlTB0uWlrGujXhvtDyJc0lrEgjuFoNPyxi+O3Seaa+/Q9euXQt1X4VCUXyKG2T8NPC0g9NHgWXFmb+8cejQIcIbWnzsRnFjpGXb+lZLDjhuZCkjn3PWssERzsRSrSDdriqys/UY53LXsnPUrx0d7r+Dh4Y8wu7du8uMe8oVaq8XkJpqca9WrVrVekwONBbNKIMiuxMeHm5txCmLj8SMLJBSqYtLdJua1vmM1Y3le0S3qUmioaCfXO1YRqz38w3HGIS5+DIeE+/9IrvzxOhxbNm+k48++oibbrqp2M+oUCgKR7EEjsKWPXv2MfieWxyezw3rZRU+4U2rcya3wF3lqEO3K4oSk+MIM4uNq67lrqxA5y/m8PuBNM4GNIeDvxO/fy1333NfmQksVhSeQ4cOOS3KKKeEiyyrimDaLsFMNDjq7WRWB0fG2PXbEcZ55FYOoj1D0poEGyH0+YZjTJRaMoi1i7XWu7k5+06dYXmGjl4rHP2Tz/ly8fccPHiQGjVqOF2PQqEoGZTA8SBJSUdoGGYpD+8o/kYcr+Z9gjO5IU4tPe64glxZfsx6UBkxE0mFydQyjt2SeIHl6d2Jj4/n0KFDdOrUiYYNq6FpGlWv9yqRflOK0iMxMbFIVadlK0thcadlgiyWRMsH4RYTlYYFxjggubGmsQqx4MUpq2zaP1Ts2JHZ3/zI+r/P89tvv1GjRg06depEpfOWKs8zZ85U4kahuIIogeMh8vLyOHr0COFh7qeBVljRiy3bd7oUKcUt8ueOUJJFjjEo2Xi92ViAv1Mu8+bK4/y4X2PYsJq89957tGvXrty4oRTucejQIRo0aODW2DTvQCpuX86WCXMA+/o2rjKkjBitL7LgWDhzLQPGxlrvJfeWijaZy5HFR8QELZy51u5eYXERXM7O4U/fQAYMncoNN9zA/fffzwcffEDt2rUL9SwKhaJkUQLHQxw/fpwqQYFUrhzgcIyw1uSG9SLj+0f58us/redciRgzS4k71xWGwhQIFGO1Wo15d/UJflv5L2lpadxzzz0kLH6RKlWqeGxdirLF/v376datm/W9MaBYdBIXiGJ7sqVEvBfIbinZPWUUH8IKJDB2+JYtPY4qGRvjdGREVeLoNjWtrqqNO5Lp2Pp6tt3eg0mr1/LHH3/QunVrPv74Y26++WYUCkXZ5KoQOHl5eQwcOJBVq1Yxfvx4Ro8eTWpqKuPGjWPp0qWkp6fTtGlTxo0bx1133VUia9i3bx9NG1vM9rLbSXZViRgc+by7QbzOUsgLM4871zhDWHXy8nTm/HSC1xceZeTIkYzu04eWLVuiaY6LAyquDvbt28cjjzxija9xRvqbz9q5h6AgK8pVvIxZmrjRxWXs+7Rw5lprvRr5vsZMLCFuZJeUNcMrf0xYXARHL15kxNEDVF9TkZEjRxITE0NQUJDTdSsUiitPcdPEywRr1qyhefPmHDt2jLVr13L+/Hluvvlmjh49yrp16zh79ixvvvkmzzzzDF999VWJrGH//v00aRQGFIgaszic3LBebJn/Al9+/afLuBl3cCfd21GtnKIGJ588l8XtM/5i5bEQNm3axPPPP0+rVq2UuLkGyMvLY//+/TRq1MjpuBOzpwL2KdWOMAsqhgLLjqg9I5BdWwPGxtpYZIz3EpYc2VojRI3oOm608gjX1bdnMxn+dxKPPf8Ca9asoXfv3krcKBTlhKtC4Oi6Tm5uLjk5Oei6zqeffsqJEyf49ttvad68OX5+fsTExDB79mzWrzf/IC0usgUHHAcZg3MBI865K3KK247BbC5n82Vk5nLvW3vodudTxMfHu/yiU3iOdevWERERwVNPPUVAQACdOnXi/9u7+yApyvyA49/fDiwsrLOwOyzy4sGKyqtwq55aWojEE61KtLicKfVizjLWWRo1VzljYrQ0mjtfzlzFmJKcSkWts84TL0QkqEQvJ0cQ9VTw8AUEVlHB3YWFZXYX2Pcnf8z00tvbPTM9M7vT0/P7VHW5O9NPP89v+mH9zdNP97N27VpOP/10Jk2aNCJ3pu3bt49oNEpVVVXGZexLGFi/w/HRG6/kxmIfwbEfx41zpCjTJw9bSdCs8eUDP/9i/Ub+be0G3n7n99x0002awCtVZEKR4Cxbtozt27dTV1fHsmXLePPNN7n00kuHrE59xRVX8Nhjjw1LG3Z8tGVQgpNKdOFybvjx/UOSmGyeEpzJE4adIzxWmXQjP9ZDAa1t1qKF3PDkp9Qv/TPuv/9+IpGI7/aq3Gzfvp25c+fS3Jz4H/ktt9zCSy+9xMaNG7nrrruIx+PDWv+OHTuYc0rdkHk3TlNvvYfubRsGLbmQ7k4oeyJjT36cCZB9CQdrpCW25IIhyyo4/+tMjM775uQhyzxYc28+ropx11Mvsu6V9Z4PNFRKBVso5uCUlZWxatWqgd/XrVvHmWeeOaJt2PPlPupmTB/4PbLn5ZSjOG5yfULwafWLhhzDz+iOW8JjP97G1lraK+fz4hNP6LfZApkwYQI333wzIsKiRYs4//zzB27ZjkajNDc3+xpd8evzzz+nbkbiTsF082/g+O3aI8V5Gcu69RsY9LP9dnDnXJ3u3j6uuf8Jnl/1AnPmzBmxtiul8isUIzhONTU1tLS0DHn9wIEDrF69Ou/1GWNo2t/ClMmJZ16ke4qxn8THftnInqxkuyZULpezNn8a54YbbtDbvguotrZ2ILksKysbMh+kv79/WOtvampiyuREEuG2HIP9IX/Ou6nSsY/UZHLZyloWwW2UB46PGD33z2+kTbLsiVHzSTOZPCmmTx9WqsiFMsFZsmQJ69evp6ura9DrTz31FCtXrsx7fR0dHYgIlZXj0yY3kEiAclmF2z5Px9og84f5ZZrk7Nz6h0F1NDQfy+oBbyp/Cj1y1tTUxIm1xx9eZyU59sTG+r172wbPdZwsVmLilYBYl59g6IP83DgvRTnn5LjVY000tvZv2Nc8MEqllCpeoUxwrr32WiorK7n66qvZvXs3R44cYdWqVTz44IPce++9ea8v8Uc/lnIf6/Zwe3Ljtp6Tc2TGPl8m1ZwZr+Qmk7k2qdiPe/45i9i0aVPWx1LFr6mpiaop3xh0ecpKbqwRG2ey48bt4Xpe+ziTmVSXvZzzfTKdZGx39rxT2PzulmEfDVNKDa9QJjjjxo1j48aNVFdXc8EFFxCLxXj00UdZvXo15557bt7ra25uZnKKBCeTUR07r8tPbgmQ32OA+1wb+7GdZa0kp7zjS7q783PHlipOzc3N1NbWptzHbXQl3d1PzgnG6Z6PY2ddgsqkjHM+zvduXzqw4rilsmIs3ceOZFy/UiqYxJihCywGjYiYILfzH267kXi8nUd/erfrQ/7cEpy2bWsGEod0SUum+9n3de6fyQRmt+Pby935RoQfPvALLrvssrTHChIRwRgT+FnRQe/nzc3NzJ0zm/fe30JNTQ2QuETlHLGxz73p3rZhIOGxnmkz9dZ7Bt63npdjvW8/hnVctycbW8sx2NeaOusnNw7s7zXCs9mx4jgMvWy1JX6Y50wXb3200+OTCK5i6etKjYRQ3EVVSPF4nJXPrOLN115wTWRSjd5kO1F4uFhzbtySoa5ew3u749TX1xegZSoIHnnkEa760+XUTRhDG+7JDSSSGq8Jxs5RFq+Vw61jWAmQcz+30SB7YuNcwmGzY3mHs35yo2citK2tjfozZ7u2XylVPDTBydGKFSu45KLFiVXE92zLuFx04fKBUZxUiU669528EpRMX3fbxxjDs+93c97SS5k+ffqQ91X4tba2snLlSt7/7SvA0Duo4HiCMfPiecRIjMKUL7yQqSnupipfeCHOi7tuyZHXs3AszkTFntTYR22sBTR/uPQu/uL8k4Ys87D5v7fwYmMj//uPaz3brJQqDprg5Ojll1/m7tuuTzvPxn7XVHTh8oH/nuayr/W+fTJyNqM96crZ59x4XcLq6jU89EYne8vnsWbFCt9tUOGwadMm6uvrmThzDiTXoIr2dQxORhy3eVtJjptBz9Cp/xPGbl036P10E5Xtl728OEduYksu4LzXP6HBvsq4LbnZ2LCXv97xMff87GcsWhSs0VWllH+a4OQoFovR3jF0QqK1sGYuvBKgTGU6tyeVx9/qQmZdwuZVqxg/3nuldBVusViM9vZ2wPsBf/Y7mGZePG9QcuMsY1+os6GhgfrknBv73Buv49s55/ekYs3bsSYU2yccf9Xazq2vvMPql18dtFK6Uqp4aYKToylTptDUfADmp356rDUqk06m+6Xid3Kxlx37+/jN1xP56LWnNbkpcVOmTKGxsRFwvzwFDFyOii3xnoNjcSY8bZFKoi4Ti61LTzMvnue6srg9sfG6bGW/Tdw+Kdkqa4zhn3Ye5rbbbtPkRqkQKZq7qArdBlXUvjDGzCx0I9LRfq7yoCj6ulIjoSgSnHwRkfeMMWcVuh35EKZYIHzxFFLYPsswxROmWJQKulA+6E8ppZRSpU0THKWUUkqFTqklOE8WugF5FKZYIHzxFFLYPsswxROmWJQKtJKag6OUUkqp0lBqIzhKKaWUKgGa4CillFIqdDTBUUoppVToFH2CIyLXisgeEekQkd+JyOzk67eLyN7k6xtEZI6tzCUisktEjojICyJyQvL1MhF5TkQOishtBYjlFhFpFJE2EVknIlNStTfIsaSJx/WcBT2eQgpTP0+2ITR9Xfu5UsFU1AmOiJwKrABuAiYB64HnReQc4EfAYqAGeAf492SZicCvgNuB6YAAP04e8mJgO3ASsFRE3BfdGZ5YFgD3AcuBqUA78HCq9gY1lmTbvOJxPWfJMoGNp5DC1M+TbQtNX9d+rlRwFXWCA/wR8IYx5lVjzDHgZ8AiwCQ3a62tCHAo+fPlwBZjzBpjTCvwEHBV8j1J7jsq+fNI3mJ2AbDOGPOOMaYD+CUwP017gxoLeMfjes5EpJpgx1NIYernEK6+rv1cqYAq9gRnDXCr7fczgaPAFmAtsBPoBP4KuDO5z0Jgq63MR8Dk5Del14C5wOfAa8aYocuED5+VwA8ARKQG+HNgc5r2BjUW8I7H65y1Eex4CilM/RzC1de1nysVUEW9mrgxptn6WUS+CzwO3AEsAb4DnAHsAh4m8c3qW0AU+MJ2jC4R6QWiyW9gV45YADbGmB4AEfkBiYeBdZIYrr4Wj/YS0FiSbXGNx+ucGWN6RSSw8RRSmPp5si2h6evaz5UKrmIfwUFEYiLyEvAocL0x5jES18OfNcZsTf7BuAM4Kzk8fBiosJUvJ5HotY5864cyxqwExgF/T+JbYAfe7Q10LDA0HhEZ7XHOoAjiKZSw9XMIV1/Xfq5U8BR1giMi44FNwEFgjjFmbfKto45de4E+4BiwA1hge28usCt5nbxgROQuEbkGINmWnwPVwF682xvIWCBlPLW4nzMIcDyFFKZ+DuHq69rPlQquok5wSFzvbjTG/GXyG6xlHXCNiJwhIhXAvcD65B+QNcBiEVmcvJvhAeC5kW64iwPAHSJysoiMBf4W+BB4Bu/2BjUW8I7nj3E/ZxDseAopTP0cwtXXtZ8rFVTGmKLdgMeAfhLfXO3bDOA6YDcQJzERc7Kt3GUkJvF1AE8DYwIQyyjgEaAp2eZXgVPStTeIsaSKJ9U5C3I8Bf4sQ9PPU/WNdG0OYjzaz3XTLbibLraplFJKqdAp9ktUSimllFJDaIKjlFJKqdDRBEcppZRSoaMJjlJKKaVCp2ifZCwiE4Ar0CRNJXQCzxtjugvdkHwTkW8DJxe6HSow3jLGfFjoRigVdEV5F5WIzK6gaseJFXMYJWN8lZ066xu+65s+t9Z3mWnfqPFdZtLk8b7LjC+L+y4DIAf9/33s3PuB7zLNX33lu8yX+/v8l4kb9rYb9sT7a40xB3wfIIBEpKyysrIvEolQVVXlq2xdXZ3v+rIpAzBt2jTfZSZNmuS7zNj+Tt9levfu9F2mY+cu32UObm/0XabhqzbfZQD+r/swC4nyG3NAsjqAUiWi6EZw6uQcM5Yo01jItIr5vsvPn3GG7zKLzjvVd5kFZ8zwXWbWbP9JUXXka99lACJ7/CdTbduafJfZubU5/U4OW3b7H4RpahMaWvvo7DX7b6ofw8+3dhX1H38ROWHs2LFtACeffDIi/sKZN2+e7zrPPfdc32UAFixYkH4nh1mzZvkuE+1zPi8vve5tG3yXafmd/z+Le1r9f1Hc3JRdF63qHsMbtHCGVJmttEWMMf1ZHUipkCuayzsiIlNlnjlAA3WcTQXRQjdJBcysiRGumD2al3b1cOXc8uIbmkwSkZNHjx7dVlFRQTQa9Z3cqHArp4xlJEbAZlLRJyInFLhJSgVSUSQ4IjJmItP7uzjCTM5mFP4uS6nSUVNRxvcXlLOluY+lM0YbKbLsIBaLmVGjRjVUVVVRUVGRvoAqSYJwNhOZxXgmUd4mItldX1QqxAKf4IjIieOp7qygiqksoCz4TVYFNnaUcPXc0XT1GubVlPUnF6sMvAkTJpj29nZqamooLy8vdHNUETiF8SymmhpGf3a5nFi0o5ZKDYdiyBZuHU0F1cxAKKov46qAykS4aMYo2rsNwHcL3Z50RCTW1tbGhAkTiEQihW6OKiKTGMOZTGAThwrdFKUCpRgSnPvKiLCPbfTj/+4aVZqO9hie+6SH2dURgGcL3Z50jDEt1dXVHDp0iO7u0N3probRp3TwAXFa6fF/Z4NSIRb4BMcY033QfCEVVPE5v6cH/7eKqtJy4Gg/z37czTlTI7y+p0dMkTwLoaWlRXp7e2fE43GOHj1a6OaogOvH8BatfMkx9tNdaYz5stBtUipIAp/gWPaZj2Qyp7KHdzlGds9+UeG381Af/7Wzh5auyPznPukuumuaxpgve3p6Kjs7O4nH4xRJbqZGWBf9/A8HKEf4jKNlxpgjhW6TUkFTNAkOwGfmbemk7ZR9fMhhsnv+iwonYwyb9vbyTmMfTUdMrKen55NCtylbxpgjnZ2dkbKyMg4dOkRfn16aVccdpod1NDOb8bxrDhfNCKVSI61Yn2QcPYHa+JjRlYwu83fL+MTJMd/1VU/z/8yd6pj/R1NEq/zf/j5GsruUIR3+R7N7Du7xXebwQf8THw+2+f8femM7VFcI7zb2lRtjenwfIKCqq6tNZ2cn48aN81Wuttb/07ezKQNQXV3tu0w06v/f1OgsTmv/Qf9PGO5s9F+mfV+r7zLNB4/5LgPQ0HuMpcT4tfm66EYolRpJRZngAIhIBFiI/1Go7wAv5r9FBa1L64FOY8zHw9GYQhORacCJWRQN8vkKcj0jWVc29TQYYw4PR2OUCpOiTXCyJSLvGWPOClNdWo9yE7bzpf92lVJ+FNUcHKWUUkqpTGiCo5RSSqnQKcUE58kQ1qX1KDdhO1/6b1cplbGSm4OjlFJKqfArxREcpZRSSoVc6BMcEblERHaJyBEReUFEXB9QIyK3i8heEekQkQ0iMmc46rHtP19EukQko9t/Mzm+3zbkGoffGLKpK9fzUmq8Pi9J+BcRiYvI1yJyY57qG9IHROTvRKQlud2Xhzpy7tcZ1DEojnzHkDzmkHMzXOdFKUXiCbBh3YCJwCFgefLnXwP/6rLfOUAjUAeMAX4K/Dbf9dj2jwCbAQOcmI/j+21DrnH4jSHLmHI6L6W2pfq8gOuBbcA04HSgBajPsb4hfQC4CNgLzAVmALuB5TnUkXO/9htHvmNIdW6G47zopptuiS3sIziXA1uMMWuMMa3AQ8BVLvv1kfjjNir5e4TEH9V812P5EfB2no/vtw3Z1mPxG0M2deV6XkpNqs/rGuBhY8w+Y8yHwK+AK3Osz60PXAM8bozZboz5Avg5/vuhXT76dTrOOPIdA3ifm+E4L0opjv9jC6uFwFbb7x8Bk0Wk0hjTYb1ojHlPRNYCO5MvHQO+me96AETkNOA64FvA3+Tx+Bm3Idc4sozBd115OC8lJc3n5fy8Pwa+nW1dKfrAQuA/HfVcnW095Kdfe/KII98xpDo3b5HH86KUOi7sIzhROL70uDGmC+hNvj5ARC4i8cj0M4ATgGeAXw5DPWXAfwA/NP5W/83k+Bm1Idd6coghm7pyPS8lJc3nNejzBtrx1zfs9aTqA3mrx+14WfZrVyniyHcMqc5N3utSSiWEIsERkTtFpNe5kRihqrDtV558zbky3nLgWWPM1uS3wjuAs0Rk0CqCeajnZhLryLzuM8TDGRw/k33yUU+2MWRTV0bnpdSk6IfX4P15Dfq8gXGk6Rsp6unBuw/4rieNfPRrL159Od8xgEdfTr6X77qUUoQkwTHGPGCMGeXcgE3AAtuuc4FdxhjnMr7OJbl7SVwzH7RfHuq5ELhaRDpFpDP52h4RuSxNiDsyOH4m+6STyTGyjSGbujI6L6UmRT/c79jV/nk5P+95wB+yrGcN3n3Adz1p5KNfe7kQlziAU8hvDODdlz8YhrqUUhD6u6hqSEzkW0ziDoyXgXtd9lsMNJEYPq4AHgbW5bsel3KZ3kWV9vjZtiHXY2QaQ5Yx5XReSm1L9XkBNwJvAtUk7ujZD5yap3rtd1FdCuwicVfQbOBz4MIcjp1zv/YbR75jSHVuhvO86KZbqW8Fb8CwBwiXJf9AdQBPA2OSr38f2G3b7zoSt4PGgbXA5OGox1Em4+TA7fguMbi2Idc48hVDljHldF5KbfP6vEjctbOCxByPr4Dv5bHOQX0AuDuZlOwHfpSH4+fcr/3Gke8YvM7NcJ4X3XQr9U2XalBKKaVU6IRiDo5SSimllJ0mOEoppZQKHU1wlFJKKRU6muAopZRSKnQ0wVFKKaVU6GiCo5RSSqnQ0QRHKaWUUqGjCY5SSimlQkcTHKWUUkqFzv8DGX9meIeaiWoAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-1,1.1,0.125)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#dry_lon_lo, dry_lon_hi, dry_lat_lo, dry_lat_hi = -60,-50,-10,10\n", + "#wet_lon_lo, wet_lon_hi, wet_lat_lo, wet_lat_hi = -80,-75,-10,10\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-0.5,0.51,0.1)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "# levels = numpy.arange(-.75,.76,0.125)\n", + "# ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "# ax6.gridlines(ylocs=[0], color='0.25')\n", + "# ax6.coastlines(resolution='110m')\n", + "# contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + "# levels=levels, \\\n", + "# cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "# ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "# ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "# ax6.set_yticks([-20,-10,0,10])\n", + "# ax6.tick_params(labelsize=fontsize)\n", + "# ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "# ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "# title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "# ax6.text(s='mm', x=0.05, y=0.03, \\\n", + "# ha='left', va='bottom', \\\n", + "# fontsize=fontsize, \\\n", + "# transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "# bbox_position = ax6.get_position()\n", + "# cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "# cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "# #cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "# cbar_axes.tick_params(labelsize=fontsize)\n", + "# cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('figures/UW_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:27:36.891442Z", + "start_time": "2018-08-16T20:27:36.887696Z" + } + }, + "outputs": [], + "source": [ + "xlat_indices = (xlat>=-10) & (xlat<=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:32:01.932021Z", + "start_time": "2018-08-16T20:32:01.697916Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:6: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0,0.5,'mm day$^{\\\\,-1}$')" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.5,4))\n", + "ax = fig.add_subplot(111)\n", + "\n", + "lon_mean = numpy.nanmean(raintot_diffs_time_mean_landmask[xlat_indices[:,0],:]*24., axis=0)\n", + "lon_mean_smooth = pandas.Series(lon_mean).rolling(window=5, center=True).mean()\n", + "ax.plot(xlong[0,:]+360., lon_mean_smooth, c='firebrick')\n", + "ax.set_xlim(280,320)\n", + "ax.set_ylim(-1.25,1.25)\n", + "ax.axhline(0, c='0.1', ls='--')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s='UW days 2-10 precip. change', x=0, y=1.02, \\\n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.set_xlabel('longitude', fontsize=fontsize)\n", + "ax.set_ylabel('mm day$^{\\,-1}$', fontsize=fontsize)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## for cesm talk" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-15T03:08:31.076Z" + } + }, + "outputs": [], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(11,7))\n", + "fontsize = 18\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "levels = numpy.arange(-.75,.76,0.125)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['','',''])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['','',''])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['','',''])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['','',''])\n", + "\n", + "fig.tight_layout(h_pad=10)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='$\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='$\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='$\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='$\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='$\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='$\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/cesm_workshop_precip_lh_etc_maps.png', dpi=600, transparent=True, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot climatology of these variables" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-02T05:41:27.287058Z", + "start_time": "2018-07-02T05:41:19.109426Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(0,10.1,1.)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_400_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='gist_earth_r', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(0,3.51,0.25)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(0,151,25)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(0,31,5)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_400_time_mean_landmask-273.15, \\\n", + " levels=levels, \\\n", + " cmap='Spectral_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(0,801,100)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "ax5.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='magma', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# prw\n", + "\n", + "levels = numpy.arange(0,61,5)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "ax6.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_400_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='YlGnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,1,2,3])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(280,301,5))\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,200,400,600,800])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-0.2,0.21,0.1))\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/CLIM_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# as a percent" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-01T22:07:12.349746Z", + "start_time": "2018-07-01T22:06:59.400044Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: divide by zero encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: invalid value encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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Qn5NN8+bNeaZ/HzZt3EDfezrR2K8mM97/H907tOWzzz7Tn+nVhOsu9CeE6AU8BIwE2kqStEMI4QGcBp4GNgJzgQRJkl4wtW8NfAr8AjwqSVKZk61CCMloNGJnZ8eL457g/Q+nyNvzkvj++++Z9fVyDh49jY1N5TmkFi5cyEsvvUSPHj1wd3Pmnsce40RCPA3uisTRSZ43Tt91kCEDB1I3LIxHH3+Mu/v2pna9MHztHLlgzMX1/GG6durN8Jfe4fXX5biKzMxMkpKScHJyIigoSD1fQUEB+/fvJz09nYyMDLKzsykoKCAxMRFHR0f27dvHvn37eOutt3j44Ycr7TrvBCqr+FlV27oQQlJiuyZPnozRaGR3z3sAyC0s5PFde5n366/07dv3ei9F5fz58wwYMAAhBHXr1qXR/r2IhGxC63vT+m45Y8u9UW0iX/mC+PQsnnjiCQYOHEj37t1xdHRU44Xmrt/D9I1HiI6OxtnZmYKCAi5evMilS5do1KiRmYc1Li6Os2fPkpGRQWZmJnl5eeTn53Pw4EEaN27Mzz//jMFgYN26dZV2nXcKlWHrN+qZnpGRgaurK1PencwDcUeYNk/2eMfZZZHZtjEbN268nssowZdffsk777xD9+7dcTi8i+EPdyOj6T10CHDC3k7O3vpx1ymeGPU8TcJCGTpsKA/e24ea9ZqrfWSeOUKPu7swadpnjB49WvasZmSQlJSEm5sb/v7+atv8/Hz2799PRkaG+kwvLCwkNjYWT09PtmzZwsGDB/n000/p3bt3pV7r7U5F7bwy5nU6mPrRGnQ/YJ8kSctNg/kY+BN4ARCArekYAVRIYRkMBjp06EBNr0AyceLn2BMAdH7yVWbP/4OlS5fyyCOPVMLlQExMDC+++CJrls+hccMwJAd/MnEivEkTNiSdA2Mug0IasMhOHnrPAQ8xfsIELhjlYLTdaabof9dQvpgzk34Pj+b9999HkiSEEPj7+3PlyhU++ugjnn32WYQQfPvtt4wcOZKuXbvi6uqK0Whk9Wq50qenpyf29vZERUVx/PjxSrlGnWvihth6nz59mDx5stm3REdbW0bVrc0777xDjx49sDM9kK+X559/nkgnI+8NvAcbG0GKRz7Jh5Pwaeqv/ra1scHX04349CymtwsgZd0iEtYtImzGYlKOxuDVpC4jurZi/p/b8fT0xNbWlvz8fDw9PXF0dCQsLIyffvoJX19f0tLSaNmyJTVr1qRevXq4uLiwdOlSszEtWbJEF/E3lxti5y4uLjRp0gTJxUtOFed5ps3bRxvbmszYvJ1169ZVmidn3759fPjhh2xY+Sv1DZnAUAAu1e2IwZhK9oq5ON4/AkOM/Ax/6qmneG7kM1y28+DEpRxAzvoKCQrkhQ7NGDdmDBMmTKCoqAhbW1v1mT5z5kwGDRqEEIJp06bx6quv0q1bN1xdXUlPT2f9+vUABAQE4OLiQmBgIKdOndIFThVx3QJHkqTJAEIIbeBAM2C/5vURwFcI4QKsBZ4CzgDvSpKUVdFzeXl5IQrSmbdwAUvX/02HMc8C8OH0OTw1ZAi+vr507tzZ6rGBgYFXc1k4ODjQb9DzAJz6T/5m4WvnyJ8HDnI2MYkHngzlyzfe5q677mLHyl/ImTCRDRdjAajr5qHW7BnUcwintmTg7FEHg3MgTh51+Oe9Dhw4Wci7r4xmwoQJBAcHk5F2nrnLlnDYw4leYQ1o6uhGj7ub0aPPQGbNmkWtWrU4cOAAPXr0uOpruV4SEhJu6PluVW6Urefn5xMeHs7Zs2cZt/8gbzRsgL+TI119avH7tv0MGzaMBQsWVIrI2bp1K6vGPoCNTfGXIZ+m/mZtFu84TIa9Ky4uGaw7cpq7LGIjUo7GkHw4ieVP9KGgqIjCIgkHgy0GGxsKi4qYsfMotWvXJjAwkNTEeHqGBfJ2lxYYbGxIPpxEWIP6LMeG+vXrs3LlSr766qsbFmukU5Ib+Uz39PREKiris++XkC2cGdi4FgAx0Tk8/vjj/Pnnn7Rq1eo6r0i28z5tmlHfkElRcIQa2OxpTMUm7gjOke04m2vgf69NomXLlvz5+288MnI8MSZxo5C7Yi5NkopImvMaDhGtyTm0kyv7ThC3NY7lGfm8/MSTjB49Gj8/P3KT4vn7jacISk4DYMrv0bhgy7MvPMf06dMJDQ3lv//+w8PD47qvT8c6VRWZ6wacU15IkpQnhCgA3Eyuy0HldSCEGAGYpYy8+eabjBo1ir17vwDgng4d6TikJQluHgya8g4PP/ww3333XaW68AHSTv6EIfxpdqcls9bkVdm9aCzpF5L5LzGRhnV8+L/fl/Dl0sWIWr7MeO1VuviHAuBCDgUOdjg7OYKUwj/vDcUnKJhIYFa4F2F9niI53Ynm7Qfg6OiIyEsCMkk9t5JpE7oyd+k6GoR6kpCSw3333ceTTz7Jxx9/XKnXp3NdXJetW7PzNm3a0Lt3b1q1akV6ejofnTjJ5EYNKDydwcvuQfzfspU8mv8oCxcuxNnZuUSf8fHxfPPNN7i5uTFgwAACAwOxtbUt0S45OZnstMuEeNVUt3k1qVu8/3ASAIv+3s2ktz7AYDDwxUdv8ftLQ0g5GsP2bvKXCZ+m/vg09Tc7VssHTevxdmEhZy6mYWdrQ51axQ90ryZ1qXXkNGkrd7F/21b8/f2JjY3l22+/Lett07nxVMkz/b333mPcuHEcOSILji973k3XED8eBwqjE+jbty9Lliyx+sVVkiQWLFhAUlISzZo1o3PnztSoUcPqufft20frRnLmrSJuLtXtiKdR/iKafWAbMXn7EZLEjh07qB3ox6ote2jYNFLtw3nZFHZ9sprg9sF4RnWiKDgCp/BWODvMxb9tBK2BD4FL6Vmcu5RG6zFvYmdnp55v7ugRpN/1NCunz8UDO1JSUhg2bBgDBgwo763TuUaqSuCkAWqBAyGEvelcqaUeYYEkSXOR53kRQkgArVq1Yvv27UydOpW6desybdo0fvtyLi/MmEp461a8Nn8Oo0ePZs6cOfTs2RMbGxuKiopYuXKl2m/TiEasWfsPTk6OtGvXnhkzZtCkSRNArncwfPhwli1dzCcTevD+fHn9K/fwwXwTe4JZq/6iZ58+ADR22Yu/twPTp08n+UoBJ2yA7Cykc3KgZZidhMhL4tz6uZzcvBafoGCS4+PwCQrGvU4jQF5qwqNmDWwzT+Lo6KiO8dy2ubgFhlM3yIOPX7iHk5vXcjwmhZnLvmN0fr7arqo9KzfaU1RNuS5bt2bnNjY2zJgxg379+pGcnMzGjRt58pdfuCfflkdr1OJV92CW7tzBgw8+yF9//aXGnp05c4ZFixYxa8pHdK3jz6/HzvLSSy/h5+fHSy+9xMSJE9XMlFWrVjFixAiaBvtazVZRUtWTDyfRx82Tz158kRb9+tEwX3B88Vag2NNTmrDRYmdrS7ifl9V9Qghevr8NyYeTqBXhx9dr9/Pwffdx4MQJ6tYtv2+dG0KVPNM7d+7Mzp07mTZtGqGhoXzyySd8sXc9n3SL4gnAMTqJwYMHs2TJEtq2bYuNjQ0FBQUsX76c77//npPbNuHhYM9rSZdwsjfQ5Z4efPHFF6rdZGRkMGzYMNat+YvHFy9UvTdFwRGcuJRD+/Qj6mKfgY4GsovimTVrFjkFEgMvrsdOkx6etP0IrSf2IWn7EU7PlkWNFudIuVRJiOmnyMLDWhQcwQfD72bposPE5Ri5kmnkty+/wcbGhpkzZ1b0bdS5CiptNXEhxFnk4LIdQohngH6SJD1g2tccWCJJUvg19i1ZG6ei4F//32ReXfUrfx44SMips8x75wNsbW154403WLVqFVJRAUnn5bgYG1FEnRAf3n/rZQ4cT+SDjz5h9uyvaNeuHUOGDMHTw5Uvv5iGY94xGrUfCcBfh/cz79Bu5v/xJ4H+/mwaNR4Xcvh3/SYmv/Mxzbp3pdWwQcxa9RcA+0aNIO3kT+xZLHua9h5NJC61kGAPW1o2CcAnKJhDe+V0w2Yt5XVYmj82DcnBn4KU3Rz7/VPc6zQioFlf7FzkQOR1Uway8O9Y/jxqxKOW7L6/UQKnuk9RVfYKy1Vl66XZOcCFCxfo2bMnDxcaucenFoWSRMcNmwF47LHHcHZ2ZtmyZQwZMoSGp/cye89xLmbl8mRkOJ1C/Xjtn93UcXdl+l8b2LZtGy+++CLfDu1Bu/rBqsDR1t9RvDcA4Y+05Yk5v5F+OZ2h2a5ElOOxqQhK7I727+OLt6qi6fnV2+haO4CJa3dc8znuRCrT1m/WM/3zzz9n7ntvsax/N+K2xrEgOYGFl5JwFDZMmvwmC6ZMxT/Em8Htm3PaaMfi5atpHhbEyLpBrNkWzfLMS3z/6280adKEgQMHUq9hY96fMpVAQy6X7TzUbC3nyHZseHwyS4/J1cH/79thrLEN4eO33+LRtk15ceILZB/YRtL2I2ZiJmm77JGJ2xpHcPtgALP9zpHt1P61ZB/YRnb/V/CO2cyU9s8BkFiUx9L8C1wo0otmXg03MsjYGsuBqUKIjshztR8CP1b2SYQQ1K9fn8TYOFxiEugQGMi9d7Vj7ODH+Wf7No4dOMCEF8fQoVUd2nR9DIA1a/9h8+bNDHhsHKuWzeOHrz/mq3kz5OyQQYP48JOpuNjmg0uUep7YrHROJsgP/ISkJH6OlZeN6Na1E6Edil2nz4waQUHKbmLXv8PJzWsBOH8hTd0f6C1PJ6xesxOAuNRCEi7tpGWTAFLPbcDFqx7Hfv+UQ3sP4xcfh1tgOC5AZko0PkHBPH6PxJ+aD6GYmBj9G+7N54bYuq+vLzVr1mT9f8dpXtONvKIi/mx/N6lGI2u3bMIr2JODBw9y5swZnn9+Cw+OGMuAAQN4qk93Lmbn8O0DnZi9+zitmzTCxdefZaPup1XnTuRE/2d2Hq2wOX/sEn6NvbG1sWHR6AFmnpuKiBv3ER9arcoM5l4fryZ1SxQ3bO7rxVsb9jKjpgvvzfiCYcOGVWqWpM5Vc8Oe6fXq1eNEWibxPu7YR+bQe1cevT28OZKdyakv5/LegoU0b9GChfO/5ddv57B5/yFWrFjBmP+9wff3diQqPYsZY55hy8V0Bof5M2Ty/xGbBU7e8tTo6dlzidsax84zP5U4/wN9e9OrUI6lVOrz+LeNKCFyLFFEDwCmtsrxWjyNqWbbfYQ9aZKRGsKWBwYPYurUqbrnvBKpEg+O6fX9wOdALWAJMEqSpGuSqWV9swWYP38+b731FnFxcXh5eeHv78+9DzzAS69MwjUvhsat7iPfKB+veCNatGhBYmICh6OjcSGH08ZiMehr54gLOdRveBcAc3dsJCY9lVmr/qJ2gD/3Rjani38osVnprDl9guHNogizk0g7+ROxW34nOT5OFTYJl7KJSy0kI1eiR1M3AHacyiAjt/h6XB0FD3aQvwmcv5CGn6874R2La/uknZEzp5Lj49hyIIEfjnkCkJKcyHMvTOS9994zm+KqLHQPTqn9naUKbL08Oz9z5gxvvPEGP/0kP5g9PT1pALwYHkaQkxPRTz3LyJEj+eyzzxgxYgQ2NjYcOnSI5s2b8+OArrQO9ClTmCgiQ2mj9agowudqPTfuIz40e20peCy9Rsr5ajasTXJ6Fkf3HueDTfsplCS+WfEXrVu3rvC570SqyoNjen1DnumSJDFr1ixee+01MjMz8fDwoHbt2rRJvMiMI9tJMbjTIDSQjp278OXMzwkNleMdvb29CXVz4MfubVQxkrT9CDWnLlT7PnEphxabPldjaep8+LkaI6NMX1lOPymeGEWYJG0/YhJIaepK6Io3R+vVgWLPjraPXZ+sZumxiwQ72dGmjjvpBQXsjE1jZ8EV9knpvPjGG0yePPmGFa+tjlTUzivtK5EkSbWVG8H0eoUkSXUkSXKRJOmpa70RKsJTTz3FqVOn2LBhA+fPn2fevHksnD+fe+5uxSczvqVju5JR+D179mTgo4+abZt3aDfzDu3m/b2b+SY21mxfF/9QNo0aT3igP8+/9CLNHujFzE0bAFkQFaTsBsC9TiNVnOw4lUFcaqHax7rD6aw7nM7d9V2Z8GR7ejR1w9VRkJErsfdoInuPJpJwKdvsvGlnjpMcH0dyfBwAHSKL1f03OjHBAAAgAElEQVSDzez4+ZtPeeSRRzAajdf47ulcLTfL1uvUqcOPP/7I7t27SUlJ4dChQ9z9xBN8kJPPA0eO06BBAwwGAy1atFC9HX5+frjY29GhU4tyhYl2ykjLtYobKCloykKbvWWwtSHAw5W7/L1Z+kh3nooMp3fnTmzfvv2qzq9z7dwsOxdCMG7cOM6fP8/WrVs5f/48M2bMYElBDs3bd2PR9/Np37ETBoOBkJAQ9bj+/ftzb4sGgLlH5crLQ9W/G3g7me2ziTti5lHZ8PhkABzvl2Ohs/u/wqW6HblUt6O6zb9tBMHtg2lTx524rXHEbY1Tj9eKG+04lHPs+kROUlGyxQDcDAbchIEedl7MrtOYFZ9O46mnnqKoqOiq3zsdcyrNg1OVlPfN1hr79u3jzTffZPfOzXTr2Iotu08Cxd6I6Oho2rZty4dzZ3N3506qN+ZkQhLhgf6cTEji8KS3AHh17XIGhTTANS+GV44kMHPymwA06NefkwcPcPDz2cVBxdvmArIwWb1mJ8eSCtQxuToK7q7vCsixN4qnx8/XXW2jDUI+uXmt1fidAf8nX8uzzVM5m1LAvycLePDxsZUeqKZ7cG4s12Lnubm5fPvtt4wdO5bx48czY8YM3n//fd544w21zdChQ8k8voc5T/fD3lAym0qLVtwc+vkwB6/k0autbAeNHm1/VWMrrd/ShFR5bDybxCvr93Dg+EndjV8Kt7Otb9++nQkTJnDxwnnCGjRmzeo/SUtLo2ZNOQtw//799OrVi5ltGxPp66keFzbaJFZM3hNA9bbsPJNGmzry83fnGdnr/tyswWT3f8XqGJSsK60w0vYJmAkeZbt/2wir57ZGvlTEgvxEhr7xMu++++7VvEV3DBW189tW4AAYjUYmTpyIu7s7X3/9NWD+Yb1161Yee+wxJn09m4Ft2nPBmMuGpHNqsHDG9K8AOci4XlEi57bN5XSLl7hviFyETITWRToXQ69RY1nQ7xFcyCHt5E+kJ5wk7cxxDu09bOaRUQSKNpsqoFlxSntmSrS6iKiWxEOrmPzW1/Ro6kazlk1VgTN7iBPLt8Rx7nIhO88WsnHbHlq2bHnV71Np6ALnxnKtdg7wxx9/8Pfff3PvvffSq1cvs335+fmMGzeOwpN7+HRIcUExS9Fh+Xr9/35nzYUsnugaqm6/VpGj1MpRsKy1Ux6KKOr32Y90ahDK6z+ttpoif6dzu9t6VlYWkyZNUjMDLdPC16xZw/Dhw5nfvhFBrjUIGz2ComB5mkgRJYrQUKaYlGkkZdpq6aLDvLJ1JlvdzD3/liufK2Ind8VcddpK6Tcup9ij/uLwuwgbPYLTs+eydFHZa1m1qePOzjNp2NYSzLsQz/LdO2natOnVvk23PTc7yPiWwM7OjhkzZgCoAkdL+/btee211/jhgykM/OMPAE5dTKZ2gD9nE4sfxrFZ6YS5+xPQrC/r0lNxiWpL5tFDhDeP5MTFCwC45sVgzIzHxasesVt+lwOFfd3x83XHJ0hW9iEdHpB/m/r1CO1ChoP84HYhB3evKEReEqnnNuAR2gXJQf4QCGgGQ7uv5fyFNJN3RxY44R17cveFX8g7no53jSI63N2KGbPm3PAVp3VuPv369aNfv35W99nb2zN16lQi6oaw/2wS7bp3lXeYRIdPU/8yvSlKsLEiSpzqNSQn+j+c6jU0a+fQbZj6d9rc10uIGi2W25VzQNniZ1CbCH7Ydoi1EfVZvfsQXl7WU891bk9q1KjBrFmzSt3fq1cvxowZw8xfF7BgzEBV3CjIsTCrVc+Nf9sINT6m9US5zcBS+l54QLbZ1kHuNPB24rKdB57GVJwj2xH3yeoSwkZh2rx9BC96zuo+gGAn83TyNnXcuVxgpEmwN13bRDFr/vcMGlRumSEdK9zWAqciDBw4kEmTJrHz8nlquxZPFdUO8EfR2jM3bSCkTz9wa82fW/8g0N+fBODkwQOs/Po7ujllYsyMJ/HQKgBV3CjCxjLlW0Fy8Gd3WjIhNdy4gCxGtf4bueifTHjHnpxf+osacAzgFhhOp4GP4Ld5LQ6GOJKuFPHScyNJTEzklVdewcnJiaKiImJiYrhw4QL29vZERkZWWpl/nepDzZo16d3/EfaejaWFReaUFu300cEreXwlneU3vyYlPDdO9RpiV7sxBZ6yXDdcjiXv3wWAudBRlnzQYhm4DJQqbrSBxwCPtW/GkHZNeXvZBtpFNGD5v5tp2LAhQgguX75MbGwsly9fJiIiAh8fn4q9OTq3FQMHDmT27NkkbT9CnfuLtysp31qSth+B7UcIGz1CTe9WvT5XittNWXdS/bt1kDsnLuWoHp3Ts+ea9WkpWOJyjCXEjWUbSzwNdjyPL/f7uzLu8aEkJCQwduxYHBwcKCws5PTp0yQnJ+Ps7Ezz5s2tFvLU0QUOTk5OFBYWUiMrD1yhfi0fNSVcYc1X8jeG5zp1ITzQn61795G5Ww52DKnhRuoZuZCgW6BcEkLJglLEiFtguFVxU5CymxC31vjaFWdAGVPi5d+Z8WSmRKvb3QLDuW+8HPvD/00FwMWrHi5e9Uzn/YKFf8fStb6BLz99l/fffQc3J4EkQXa+hIuDoLBIIisfuvfsTe/evenfvz/BweZBcTq3L7Vq1eLono3QxXwaUysiFK/Lmu0JnM8t4G2nemoMjkJO9H+4de+vihuAAs8QlEd2RQOLKzJNpR2XIr6EELwzoCuBnq50atMKY2ER9Xw82Hs2iSZBPrg62nM09gK+Lk70HjKMBx98kM6dO+tZKXcInp6exMfHk1cQqRb1s4k7Ypb91KaOO60nykVbLevVAFy282BXvHXv4674NFoHyV+GbeKOlIi5sUQRM3E5RvVvJe4HMIvFsYwJalPHnem1G/Lhm//jtYkTCXCrQV5BIXmFhfgJOzILC0nOz6f7fX3p27cvDz74oNmCn3c6d/wd/9dff9GwcWOaBIWQXCAnBYQHygaieHAa9OvPvZHN1SDkQH9/EqLaAmC35W3STe0UgdNl7HQMXlEENNtN4qFVJeJqJAd/RF4SmSnR1HMJAlMugjEzXm2TeGgVAc36kpkSrU5XKdNXlrh41cMnKJgeTdNIuJTNXSF2+Hk6IdnXIDHNSNNgJ46dOk9caiG5RonzMX8z7d01TJrwAjUcBCvWbqZ9+2sPINWpHiycPo0pfdqaiQUFrTdFETd+jgZ6tQ206r0p8Azhio0LADWL5DUZFcGjTGEpWPPYVAYjurZigI8nKdm5RF9Ox+XupjTxkWudFBYVcfxSGlv2beKlJT8Sn5nDs2Of47333sPe3r5Sx6Fza/Hbb7/RrXEdkncmUrvjNpRILW1gb3D7YDUrqoji+BznyHZqlWOF9ceTOXPiktVzOR/YpgYNQ/meGUuC2werY9KKHu1rX3sHZtRphFEqIiEvj/PGPO6q4Ya9KVPyn5hLnFmzmzmrN/DKuOcIcXBi4dZNtGjR4qrGcjtyxwucyMhI4mJjcc2LQTiGAbIX59TFZLXNkmdG0u79twEI9PendoA/Y/v2psfp+bgFhquxNC7kqOniAHYuQYS2G0GGQ11yQd1vh7wcQ2i7EWqcjchLws4liNRzG0hPKHaHpieclAWSSfx4hHYBppZ6PUrGla2NwM/LniAv+WHep1ebEtlZRxKNJF6RuKdLB6bPnM3IkSOtlu3XuT1oe9/9JKbJywkpMTfa2BeF87kF9PKtYRZ3o4gidWpK014ROiCLHbvajQHwwnzJh4pQXoaVZQVkAC9nR7ycHeVzmGalbG1siPDxJMLHk1GtGpHt78X4OYu4Z9s2lixZgp+fX4XGo1P9iIyM5KP4ZAjwIGn7EcJMU0+WKDE0luLmsp0HkEPrIHd2xaep4ub80b2m39D1jaE08HbCObId/phnTinTUdbEjtaL02XRexQFR/Dyh3Dm9efL9ARpvTwC2H8pXa3Bc4+mnVEqYsOVy7S7qxVfL1rAY489VpG37Lblji8NWqdOHZAkYuPkB3Bdt5Iru25IOkdW8gX19XOduvBEDfm11juTWbxUixo/owQRq21Solk3ZaDq7SmLzJRo3ALD2TDrBT4d84jZlJW2TeKhVSTHx5kVEEy4lM35C2lmlZTdAsNxCwwnvGNPWjYJoFezmgS529C1voFXXhzNmDFjyh2TTvWlbdu2RNct/lZnLavp/LFLVsWNNRTPjRbD5Vh5uqp2Y5zqNVTFiLIgp7VpKWvix6tJXcJmLLa6vawxlSakgj1rMuf+DrTITyUqKoqjR49abadT/YmMjCQxr4DMwgL820ZQFCwHEitZU69snammjoMcQ6MVNycsVhAvDSWLyjmynVoXB2RhY03clOXdCRs9gk4bf1OnzRR2nkkrNXjZGnbChh7u3nxetyFjHn+S11+veB2q25E73oOTlJREfl423i55JBlz1YrF1gj092ffqBEsGtuETy9lM3jUk+o+F+SbQmhibRTvjILi3Wn16DhAnpLSmrwxM97koTH16VVPXabh2N+x7Fn8BV3Gmk93xW75XV36QRE3x5IKcHUUQLa6PIQlSgB0D2QxFBlkYMY3XxEWFsaoUaNwcXGxepxO9eXAgQPUPncYmlsX1z5N/VmzPYFebQPVon6WmVIKhstyIcyamjgcZRsUx+RYLgVR2nkVtB6atLmvEzZjMafHP1piH5gXIFR+awWOZYByrYgwxguB097jjB07lilTptCmTZtyx6dTvTh58iRuNhINOtYGTJ6a4AiemzVYFTIA3jGbSwQIW6NOA9nDuf7tSQCq1wcrDhdrsTVmU0+mbTvPpLGz/XM8N2swjvePKJHtZQ2t9wcoUTUZimvxBAPf2dnz+EdTCA4O5qmnnqqSave3One8wMnMzMTOYODnP/fT6Yn2nLqYzMmDBwDQypPw5pGM7dubRWObsO5wOo39DaSdOW5WxwaKPTYXjLn44qgKH2URzcYPTFADjlPPbYCUaNzDBwNgR7EoSk84SXrCSTYt/YV1h+Uon4V/x9Lq0WIvzoZZL7D3aKJZMUF1HBpPDpiviaVMVQFqKjtAXFocH789iZSUFD766KOKv4k61YLUdWvZZcxhUJMwHAy2nD9WHFeQfDhJ9t5oxI1b9/7qfuPZY2Z9Gc8ew652Y9VjoxU3hsuxGM8eI90kboIekO+RnOj/rBb8g9I9MmlzXy8RL6Rta+kRKi1wWXvMc4/0IOfPLfS9pysxCUlqoTid24OcnBzyC4v4KyaBZ9o1xXnZFKaO/YmXY9dzyc4D52VT1PgbQPXyyFNT5rQOcmd8E1kY5C6bYjUgWZn+0oqN8gKPAQY+3lQdhzJdpmR5aaekSvPeKN4dKBm/A9C4Ux1eyc5g1v9eJyMjg0mTJpU7ptuNO36KysvLC0dnV7xCI4nNSmft7n3U8PE1a/NMSAhj+/bmmZAQVWyALBTsXIJUUXLaKLhgzOXn2BPMO7Sb3WlyHE/ayZ/UFHItLl71SE84ichLUqsgx65/h9gtv3Ny81p++uo7s/MBrJzxvvr3+QtpVsWNwrGkAuJSC9lxKoOES9kc2nuYQ3sPq8s/nL+Qhk9QsLq0RKeGrrQOsWXOnDnk5+df5Tupc6vTatRonAvAztaG5MNJHLySZzYVZVnrpjQUsaMVPQWeIWZZVQpl9VMe7iM+LCF8rqb6cWliJ+90PO8O6Eb3Ns1ZsGDBNY9P59bE19cX+5oe+LnIIQNJ24+oAkAREcr6U0odHGVqSpmeauDtRPv0PbTY9DlnXn+e3BXmnh5rHhfLxTi1oiO4fbDZNBZgNk1muc2aYCkLRehYCqt2rh485xbAzJkz78ilH+54D864cePoc//9uEY1Y8LinzjxxzJArlKscOjbR4kCnvhOXk25sb+BPr3aENL1LTJMcTeKmIly91HjeKLcfYAcVci412lE4qFVavyNUvEYim+ek5vlgn7KIp3KWlUKsuCppfkb03SUjLat9rW8JpY8ZaVUUgbUlcuVc9ZwEDRs2JD169df61uqcwuyZ88epr//Pt9F3cWlI+dLeG+0YkDxmFh6Ziynm5zqNZQ9OaWcszxxo92vBCQr02IO3YZZ9d5YcrXVkbX9PdAwiHnLlvHcc8+Ve5xO9UCSJJ555hl6Fdlyl6+XWYVhkD0l8mv5mat4b7RxNw28nbjy8lCOWIgFZYVw58h2qkDSoqw4rq2106aOu5lnRxE6UCySFO9NRSgrgFmbYq4lzNEZF/si9uzZc8ctVnvHCpzffvuNn3/+mb27trBjxxZ25BWQkFT8sJTOFX9TbPzABBb/70kAhnYPIbxjT0K6vmVagTwXXztHQmq4sSHpHDHpqQwKaUBIDTez87kFhquCRvGgaFGmjcI79oTNa/HzdSdQI3QULAVMadustVFEjhbtOliKN6h///4sW7as3D51bn0uXrzIRx99xC9fz2Fyt5bUypez6g5eKV4nsTRhoIgb49ljVmNpLKsZW05jadtByRgaS7QxP3n/LighkEqL5ylL2FiKN+2K6V0b1Wb0orVcvHiRWrVqldaFTjXhhx9+YOnSpcTt3ckLtWQ70676nbtiLt6mKaaliw6rYiAs8ghtNVNUV14eanWKSREw1jKyFGGjFVTWVhVX+gHUGj1aioIj6LLoPXXRz9KwjMdRKG19K+WZfqcJnDtyiio6OpoRI0bQ2Ps8P858BmebtBKCRIvBK4r7xr/JhCfbE96xp1ncTWxWOheMucw7tFtNLVe8OVCc/u0R2oWAZn1xr9NIXbJBOz10cvNaVfxoadkkgAc7BPNgh2Duru9KY/9iTdrY32DmvSmPjFyJY0kFVjOs/Hzd1b7++fY1li9fXuF+dW5dxo8fz+lVy3ivWyvuD5enkJQ6NwpeTeqqwkP5nRP9H+l/LyP972XlBgobzx4rVdxoUfp2qtdQTTdXUsqvZSpLycoqKwXd2n51HPZ2dKsfwB+mZVp0qi/79+9n4sSJRF2OZU6vthiEjSo0nps1WBUYSlCx1tNxevZczrz+PM7LppQqbkoTPBVpp5xbid9RXitCydOYajYFpmzXZmVZQ6mQbK1SsiU9Dcn8+uuvVIe1JyuTO9KDs2fPHho1rM+zTz2IR2gXom0CePibOWap4C5RbSHmd7Pj3Os0Uj03sWnpqijSViKuKF3GTgfkNO+0M8dVwdGsZVN1+gjMVxcPBzYt/UXdF+jtTFxqhvra1VEQ7CGX7I5LLSzVsyN7auTpKqX/k5vXcnd9V3ackvvLz0jG4BFw1delc+uQlZXF9t9/55P72hHp52W+NIKjgaEjWpl5VMqbDrparE1padGKIkXslOcFslwUtDQsPTeWrxX69+7K1A/fISAggD59+pTYr1M92LFjBxEOgtaXbMi9dJHg9sGEjR5h5m3RChLL7CMoXhW8LLR9WPPKlOa1UVBEjlKbR1moE8DfNG1mTTgFO9lVOFW8xLHtg/EL9SM/9SIffvghw4cPv2OWMbnjBE5qaipDhgxh7PjnMYQ/zb9pyTw67W156QXnGojQuoQ3j6Rn1F38+rMscERekrosAshem5h0ec40pIYbLuQwvFkUG5LOqdtATh3XLqaZeW4DboHhuHjVU4OTXUCdrmrWsqnq3QFwTzhpVi8nPeEknQY+Av+YCy+Qxc3d9V01W+SpqNKETlxqIYHesmiTa+PA+aW/EOxhy7GkAlqFGDiWUeIwnWrExIkTMdqCp5ODum3Ndnll+KEjWpV22HWjCBVtRWPt2lXaqS/Fg6MEKAuL/VBSKJUmckrbrnhxtAuLKmLuoU6tSE5N5/FBD7N5xy4aN25cGW+Bzg3k7NmzjBkzhpeiGkOW/IFuTVyUu6SCqSKxtjJxaVjr33K/tYwrbbaWp2kJCX8oMb1V5jg1Sz+U29YkuGq0aM/i6d68M3UWJ0+e5Pvvvy/32NuBKp2iEkL0EkKcEkJkCSF+EUK4CiFshBA/CiFShBATqvL81njyyScJ8HRgzPjx/Bx7ggmLfyLz6CF5vLV8CW8eSe0Af7P1qIyZ8Ri8otT07q7urnTxDwWKvTexWel08Q9lUEgDfO0c8bVz5LRRsDstmQvGXLUvrbjRoogbF696eIR20awxVXycZXFAxduinaZSYmpKq3+jkJErmcXfaI91dRS4O+kVjSvKrWbnOTk5fPHFF/zy/XyevashITVd1PWlAHVtqYp6Q0rDckkGBa0XRpmO0qKIGa24uWLjolZEttxvDUWgVKRCcllt7AwGxg3oSVigL2lp1uMXdIq51Wz9wIEDDB8+nFAHRx5vEmYmbpSAYLDunYnbGldCUKh1ZDTBwNdDUXCE2Y+2kOBlOw+1CKEyZuW8ZZ27TR33MrOstMtRaIlq0oBnhw0ifuPa672sakOVeXCEEB7AT8DTwEbksPX3gNXAceBZ4BchxBxJkkqWRK0iWjR05/svN7Iw7RKzVv2lZk2BHFh84uIFlvy0jHpFidQzlQ0weEVx2ijw1VQl9rUDX3e5zo0cbCyLnHpOiXJfDv7qCuEge4GUIn6Sgz+ZOOGaF0PioVWEd+ypenYMXlFIoC7NYLmOlZYHOwSzfIt8g2bkSuw4lUHwpeIg4rKmqQD2Hk0E1uITJMf9nL+Qph5TUHRnzdVeK7eanf/22288++yzNHNzYOFDXWjg7W62eGYv3xpA8Ye+Ni4Gyi7MZy1O5mpiZywzrhQho13q4YqNCzWLMlVPjyJyLMdlKcwUD401LONwLKfifvl3B4kZedSrV/q9pnNr2XpBQQGdO3fm5K7dPOzlx7THe2FnWptJnfJpG8Hp2XPNAootM5oUkaNstyyeV5rQsMyYsjZdpWBeHbl4FXJln2dwBM6genK0oqtNHfcSgcNLj120OibLDCvlWpTA6CvZubw7YwFPjH/Z6vG3I1U5RdUP2CdJ0nIAIcTHwJ/AX4Ct6dwCuKGfpGPenMnWtGT+PLDBTNwoiFq++No5ImnK/J02CnX6SfHcxGalE+XuI8fjZBXXqlE8M5k4EZuVTEx6KiE13Ii2keNZFI+Pa14Mqec2ENpOrnuQem4DmSnRuIDqKdIusqldiFPBJyiYBzvA8i1xajp5WXVxtLg6CtXLo83oysiVkCSJvbGFULYTSEfmlrLzs2fP0t7Bnmn9OgFYFTeAWsyvopQmZLTCozyxo7RVpqq0wsYalmnqCtfjdVJQxrp6xWomfPMH/2zdccfEJVwHt4yt29jYsG/fPn6o2wQ3g0EVN1D8wb7rk9UsPXaRgY3lDDlrYsVyOupqvDbWYmXAPIjY0ZQltSu+WKTsik9jaKT8OaFWRS5lTKVlRZWHpRcnz1jAkJm/0My1Bi+99NI19VkdqcopqmbAfs3rI4AvsA1oBJwB1kqSlFWFYwBg1ariIntKZeHSGPfs0yUWzfS1c6Sumwd13TyYd2g38w7tVuNswuwkQmq4qT+njUIt+BdSw426bh5mAkiZspIc/HHxqocxM95shfBjv3+qvjZmxqtrWmWmRGvq5si412lkEjnBanBxaVhmW2k9O0pQszLlVVAEFzOL9y9ZsoRNmzYRHR19x0XhV4Bbxs4LCwuZ/b/JtPIwd18rGVN+jb1LLKxpOYWkvNZuL0u4lLUvJ/o/s5/rKfpnVjNHI8zKSxEvr92BK/l4uTrz61vP891337F69Wr27dtHRoYegGaFW8bWFy9eTF0XR1xsi597/m0jVHERtzWOpccuqt6M8oRLRWJfyqI0saOIl9ZBxfek9m9LLKeqtNNRV7tSuZa07FyOxidjZ2vD+IDaLF26lM2bN3PmzJlr7rM6IKrqA0sIMQ84J0nS+5ptRiBUkqTEChw/AlBKPbYcMaJk1ceKcvz4cU6fPg1A397dyBP2xF9JIz3lElhUd2xevwE2RXKNkFV//QtA775ydoVRksjIl/c52BpwNdhCUT55Qq4tkpGfR15BAW4Ojtibbjw7ITBKkvpbwUEARfnkZ17C1l4OAi009W1r74CNoTgzq6ggV91XmJ/L+l3yauPdOzSjMD+XnKziaan8giLyC0tcllVsbMDFwQaDnYECY4F6PEBWvsSJM/IHREiQ/OFQUASNGjXGYDBgY2ODrW3ZoupWYe7cuUiSVCVBRbeSnaemppJ07iwhzs4IwOBkR87lHK6Y/qferrKdGpzsMJgCj20cys4ALMrLveZ2yjYFZZ+wl130ksGeQovvWLaYG64oyEfKL/5SYtlnQU6e6XfJgEuDlQ+Eghwjjp4az5EEl7NyyDEWUFBYiNFYQF5BEY42NtRv1oy8vLxqtYbPnWLrhw8fJtDJHkNesb3U8CteciP53GXyJQkPR3mSwt7F3uz4/Mx8q9ustb1a7EwVlG2cTHZm70SBsCW3oHisjoZiuzdIpjpn+TkU5RTP7Bkzc8zGlZUnt8sv4zPbXgi1jb0QeHg5qWPKzS8gJS2D/LwCCiQJY1ER+Ug0bSqvSq4816sDFbXzqhQ4U4F8SZLeML22B/IAZ0mSKrZca3Ff0rWO8+DBg3Tq2hUXJ/kffXzrHDbbNmTmpg1s3buPrOQLalE/EVqXzNlfkokTF4y59G4qr7z81+H9hNlJaqyNQmj6LnK9Oql1b5TMqrpuHkS5+6jeom9iY9VtoFmY0zT1ZLmMg1tguLo+VUHKbhIPrSLtzHE14ymq31QA/pn9AGlnjnNo72H1WKUwYEWK/yk09jeo01VKoHF4x57cM1rO1nrrnjwSLmXz+wl7GgS58PeRHIxGI82bN6dPnz489NBDNGrUqNT+bzZCiKp86N8Sdp6Xl0fHmt70a9eAwU3lWBLL6SnFe6OdnqrotNLVel+sxfIofVhmTpWFsq5Vaf1rp6sqWtW4rKm5lKMxrD+TyNyjMdjZ2nDicjaOjo707t2be++9lz59+tzSgudOsPWNGzfyaI+erH+iLwHtmlptM+npBQQ72ZVYLkHB2kKV1gr0lUVpU1uWdW+0wcXa+BvArIKxTdyREuJac0AAACAASURBVEUELWNy1CUZLAS9Ne+Otbgjy76+Loqna3gQy+NTMBqNREVFqc/0WzkmraJ2XpVy7T9Am0vXCDh1tTfC9ZCYmEibNm3oPa74m4LBK4qY9FTWLPiOzN3bzcTNio+msD4tg/f3bmbeoeIpqtisdFNMTbo63VSvKFGNlVHo4h+qxui4kKNOL1ly2ihYn5ZBtE0Adi5BuAWGqz+Whf4MXlEENOtrlj5uSbOWTc0yoq5G3IBcF2fd4XR1YU6foGCzjK1mLZsyeNSTiKJ81uxOZEDDLB5slIvTpR3MnzaZu5o3JioqipkzZ3LxovUAuNuYm27nAKNGjSLbQTDkvg6lfoBrl2eoCBVZCfxaUAoDGi7Hmv0oWG6zlk2liCXL6SrlR8Gyzo+1BT5TjsaoPwC+9YPZHZPAXbUDiFv8CX998Dz1M88x/bUXCQwMZOTIkWzduvVOnK696bZ+/Phx+vTpw0vtm5qJG2221KSnS64vVtqHfGlZVArlpYNr+1H6UlK+T8+eS/aBbdjEHcHTmGombjyNqSWWZ1AyqrQ//m0jzLKqlCmrYCe7MqestEtEWF6jIpIGPt4UVzcn1p1NZO3ER4lfs5BRTX3Y/NFUIus3pH379syZM4fU1IotI3ErUpVBxsuBqUKIjshztR8CP1bh+Urg7e2NjY0Nrfvdy5ZvFgJy8C8A2SWniZXlFgCzNPFuTplEG91Yc/oEAPVr+eAb0oDdacmE2OSW8Mz4mtagUlDWplLSxbV1dMLc/dXUcShOIycvSQ1YNnhF4WHan55wUu1XEUUAbPmdvUcT1fWrrFGe8JEDlBNpiVyDR31fTOnrn34Whr+fFzXt09SxnNy8lsIiia9WHWD6u/t47eUXeGTIE8ybN6/aTGFdJzfdzgH8/f3p3igUTxdT4HgF0qfLwlLcXKsnp6w+tHVwAKsBxQradopHRxU5Fm0tg5CtCT6tuLFs2yrfyDf9OtH/3vbY2NhQP9iPkd2iGNktiiM7jvDHkR08cf9i8KzFDz/8QJs2bcq67NuJm27r/v7+2Nracl89cyGSfWAbSduPWM0wshQt2uwpKCl4lPaKuLFcX8qy3+uJ39Eu13DZzgPqdjQLPHaObKemu2jHoQYiWwQhW1v7yjIdXtvmlTYR1HF3JbJPPwD6P/kknn+fZoxfMD/sOcMXOycyftQYRj4/junTpyNE9SofUmUCR5KkFCHEE8AC5NUhlwAfVdX5rGFvb09ISAhB6cXz9heMufx54KD62iWqLZm7t9PTVMVU9cI0g96T3gLkzKjYtHQz0fMzcOpiMvVr+dDFP1TNjlLWp3KxQ82A6lgoZ0AZ7KLUaS5lyuq0MRfcWuNrJ6ecGxz8kZCnr9JO/qRmUilByXLaeHGhPyWN3L1OIwK9D5tVNr5aTw7IIudYUiw9LvwCFBeIM3hFkdOqITHIQtDXzpGQ8Bx1ja27j39HoHshr055h2de/pZJkybx6aefXvX5qxu3gp0DhIeHs+Dr86QcjeHCoUSEEJw/dslsSQZLrImVq00T16KIEG2RP+3aT5bnqMg6Vta8N9rzWPaTE/3fdVVkVsbbubZcEBALARRxdwQRd0fwmiTxw++b6N+/Pzt27CA4+Pprptzq3Aq2XrNmTWrUqMGeDacRyFMVWi+LUvHXcnqqolibnrImbizFRmkkbZcL+TkD3hQvsKnNnLJck0pJHVdwprimj7WJV8UjYyluALNsLGvvRyt/b+K2xqlLWCgYhA1P1AvkCWBDTArfzZxDrVq1ePPNN0u91luRKq1kLEnSCmBFVZ6jLE6dOsWJEydI07jYYrPS2bp3n/paKfKn3W+J7PXJIDxQNq/6tXwYFNKACyZhI9fCyWV3VobqmYl186Cru1xZODMlGoD9tg2JSU9Vp7EuGHN5efUfhAf6U7+WD8+EhJSY1jJmxkNmPHYuQRi8ooo9UKUQ7GFbagzOkv35PNyiYgF02lXLPUK7EG0UzNy0gbOJSdQO8Gdqn35g54SLVz1it8iCKyNX4oeP32VYs1qMmf4Zw4YN459//iE9PZ3u3bvTpk0b7OyuPRPgVuVm2znAH3/8gb2bI4sOnWL5/tPMatFM3efnWHyblxWbUlbcTEWxrD6siA1rC21e7xSYpfhRhJUllqnsigi6nnRzIQSPP9iZ1dFxzJ8/n4iICHbu3ElERAT/z96Zx1VVp3/8fRBkuxCELJc1ATE3NJXKjaBFU1OqsdJfNaWWZdlqZjmVbVM2aY2lU2Nl66Q11qSlhlkyriVpilsCYmwiKEEsAoLc3x/nfr+cezj3clnUcvi8XvfFvWf5nu+5HM758Dyf5/lcddVVhISEtHns3zPO9rWenp7O8ePHISGO0R+mck9IBHfZibAYwVG0RU8OHI3paJ0+4iNIDtiSFS1c8vdyvlWro01dCbLjEdGXRpo6dwhCcuW+dCKmXe/wnFZ8pGo0jUrOBfFx9L0kRQcQVuPBI08+zZgxY1i/fj0nT57kyiuvZPDgwbi6/n4NEU6byLgj0R5B2gcffMDd90zH/zyVvf7pX0tY9PZSG7dwgPuee54nBo3gk7yD0jTzs5tV7U7Wzzub9bsRIuIqPKXIWKSwBO6MTyCqYrskOKXd/4+86goZAYEmY85Ib19i3GzPUUt2Kt2jSS9X++rMG3mtuu+qWTJlJbQ7wrdKiI8Lj5+w2xvHKJWlLTd/e7e/zfm/lZFOZmERcWFm7oxPINjNg4bMpbJ8XRzv24Mn2ZJzivO9FAJNCm5doKJOobzBm6SkJK666iri4+Opr6+nrq6Ouro64uPjiYmJMZxne3E6hZcdifZc54WFhdx8883s+n4bDY2NLOrfj1/2VjTrfxPSuxu9Jg6Tn/XRDyM4Q3L0URWjMY2iOY6OZxS9sdcbx+jY9uahR2uIjn7uw559m8PFv5IQFkj/4AD2HC5mR1k5F/TqxciRI0lOTsbb21te5x4eHlxxxRWnLX17rl/rFouFN954g4fuv49unu70cPHgnzclyfUrPtpj0/DOUVTDCEbRGBEhshfJEXCGZOk1PV4DhtJotWwQ0Kas9MJkrTGnliTZ89wCmvXUEZEc/WcBo2jPt7+VMq/wMIGKGzEuXnRRFA40VGPxN5GcnMzIkSPp1asXJ0+e5OTJk9TV1TF48ODTFtl09jr//VKvDsKf//xnRowYwfDhwwFVW6MnN1qIfjcAn1mXKXVFxLibrdqa5hDERqSwRKQn2M0D14AESn1Vi/rYxiPE+JmpwgOfOnUOyX5mGZU5VF8rSVSCXxC4R+NTl8N3NSaoKUGPisJM2SgQllB++ACh8WM4krGGkoJ8rnlADSfmbV7J2tQfyC87RYR/F8K6eTWzaThaXE7h8ROymqpQ0xFZnMuomJ6AGsHKq64gjwoS4qbgy1JJsMK6eZHUaCEhyg1fK4ESx62uO8nm3atZti+Vf9QqNJ5qwNvDjYCIaHbsK+LWW2/lqaee4vzzz7f7++mEMcLCwvj222958skn+XLxYkx5tRytbbCJ3oBtBEdPXLTdjPXER9/pWLvenqWCkYeUM3DUM6clcmOPaDmCfl6tITwr7r8J8o7KthAl3gE0NFr4ubKS7Z+t4Oml73DKYsFVUejq4sLxupM0YuGNL1ZyxRVXOH2cTqhQFIV77rmHpKQkRvQfwJjQQLkuf0u+TXVRa1NULXUt1sKeLqel9fplMZpKKwHhVQU0IzdabY6AvvLK3hz034fokqwnNNrqK6FJmtQQyoDNPmQXND0XRrt14+eyGgo//y8LPk+lkgZCvLpyovYU53u5sa+mihmPPspjjz2Gr6+v4RxPN855gvPrr79i2G/By9tGaDwqpqdNNCW2samtQ1luGv5RSfg0GwSw2jf0CGwiP+K9qKQSFg8WzLIEvdja2TgGi4wEiWODmr4Sgudo67Uh1mmh73AsokVaR3KA0aNUIWTk8BQpDtY6mv+4fBHxg9SqhJKCfBIn3Mjb0zVaH2pI8AsiJ7C5ot4/Kkk1ArVGjzI3reNosfrfgWgeCODtrjDnhgsYPHGG1A7tX7mA3ikzyW/sxcsvvMCFF17I448/zowZM87JdNbpxLJly3j77bd5xi2ILopCiIcr/c9zb9bcD5rML6FlMqBvBKiFkfi3I6AlR448qdoCZ2wpnEHpvhy6AuiiMa4uCn3P86Xvec3/Xi0WCxuOHefP11zDRVdcwfz587nwwrYLt/8XcfToUe644w6uPO98Ukb1AZoa+wk4avDXUvdiexEb4U4uqqS02+jLzu0t1+PErq14YUtwBFoqIRf7a2FkHWHvfPO35BuSHO17sa27axcC3LqSje0/vhd6enKh9dmVX1PPhAuaCOex+pO8+48l9Hz3XZ5++mnuuOOOM154ck4TnL179zLumqsZPf469u9Xb76/HClSXcMDgwHVf6p4zX8BZAoIIFYjdfGLmwR20kVwkDvjE5odO8kcRXnmx1QUZhIaP0ZdGNC0nUhVVeFJQ+ZS1WBTY8C5obyJGIiUlta0E9QqquVP3a46jNNU7QRqikpoY+R5WAlIaPyYpjlZETdipIzCBIVHWNevlHNJ9vPh+R2bpKhanINAaPwY2W05bsRIsJKcylqL3aouN1M48VOWo9QVEVF1gNeeuI57bhrEnJc+Z/Xq1Xz22Wecd955hvt2ogmNjY2MNwWymxO80rcPMSbvVpeEa9GeSikBZ8iDsykrLXFqiew4IlnOnpcjt3IBff8dR9omLRRF4fKgQIZ3C+Cznw+QmJjIO++8w7hx45za/38d27dvZ/zll3Hjhd25Jii85R1agKPeOC1FafSpLn0fHe16R2Od2LUVNESlm4ELuZ7I6D97DRjKiV1b7Za1689LjQAtkSRHC21az4jsCRF3s2PoluUUnODR7t3Jqqnmgw8+YO3atXz88cd4eZ05D6BzluBYLBYmT57MtElDuG7IKVZ+1rROCQzGcqwYULU3PnU5WNzNRHr7SoKjxaF6BVxCCXbzUKM8NSq5EVod8VNbZQVwh9UVXJSA15em42MKV4mMNRpjooYGq2WD9vJI9jPLiI3WsVw/PxF1EWadoFZW+XXvJQlLSUG+TW8b4WYuKrqiNONpt9F/B+vSd5IZapZVY8F+Tak2N1M4ts5C62T0Rnhk+XgohBWXU1GYiSkgVpqOpteYSAhIxKcuhwt7wDNjG/jH+lIu7h/Nt5t3Ex7e/hvZuYz//Oc/7KuvZtXUMfi6d6VkTxG7f6trtp3+Iawv0zZCa7ymWouWiI0z9g7ORo3sjWPPEb0l6EmQUVn+0f3HDaNnAF1dXJgUGU5SYFfumHQjT7/8CtOnT2/1PP6X0NjYyC233MLsS/oxJqbpnqCP3rQEo4Z++pJxoxJxEb1xdnxnYDSeSFsZRWfsERhHhEe/n8e4aWz5zYNh00GQnJaaG5qH9G363qyValrYazQodD5PeNTyyr7NDOoWxMbcwwQGBjbb/nTgnCU433//PWVlZfjn5+A74Um5PHP3LhsNzrxBgynLXCY7B4voRKWbrd4mr7qCtIpcWWI+dkB/RsX0JKeijDnvvAtAmFl9gBQWqUJcS+RgqCqg0j0aEzW4gSQyokekBbMkExZ3Mw2l6biZwmkoTScKNX3kERBLbUBisxRVRWGmJDKCzEQOT8E/KonQ+DGSrPhZRcAVhZn4hsVRX1WAq7uZtKJcso6VMG9QApRmExo/phmxARhx6meogI13P2D16douK7pErx6td1dFYaaM3mhRWWuxVmd9SvzhA0QOT8EvbhIzly9jZMJA5g0ajBsQENObJ6ItLNtwhIQBF/L5l98wZMgQe7/q/3ksXLiQCd6B+Lo7rpDTRhoEedAShJYIRWvKuzsK+jl15PFaQ9gckTHxnbal95D52EmW/ekKps55lMOHDzN37ly8vb1b3vF/EF9//TW+vr6Mjg6zWe7IkNKZh7cR9MTD2Sote3PQ/rTnXA5I52+j+ejJjT4dZU+Xo9/vVzd/thcUMaRPk++Vfru2nq+9cvSdv1Tw6AUX8P6xIwwIi2D19u8ZMGBAm47RGpyzBMfDw4Pa2lpufHUn3R56WJbpacmNEhVNFZ64xk1hgyY9Fe3rD5p7jEjFZB0rUVNcQHRiklwWZjZzcH0qmSXFjBw9mnvHXM1NkT2pAghIVFNLbp6Y3M3UukdTS5M+R0sMqCrANSCBSjyl3sffFK5qgKyRH63QWfSgAaSNA6hEydXdLCMqIrKTuWkdQeEqsfA3hZNkjpKCaoAjGWtkqkmPqtJsKM2mwRqR+q68kpyKPJLMUcS4WVQndGufHlNALPGHD/B91lbDcvXC4ycIKciHzSvJ27ySnya/CqgRrv0r1d45JQX5jOkewflTh3H92GSCInpy1VVX4evrS69evZgwYcIfrunU6YKnpyfVjadslvU/z90wigNNJdtG4mFnohntNc48E2ipMWFHdWnWRnL0RMde9EYLsc+nN1zJE59/TPhbbzFu3DgiIyPx9fXl1ltvxWx2Lv11rsPT05PKykpyt+TTRVGIGBaBeUhfLtmST76B/kZbAm2UNrIXaXGGiLQWjubgSNxsD/oydEDtt2OQ3hLbCAJzfn0Ztw4w45KzyTAiZKTjKdq2l4hhEU65m9vbRlEUbg8KI6SrO1cmXEz0RQNISkrCZDIxYMAAxo8f3+LYrcU5XSaekpLCqr07IDSQ0Bw1jVSUfKkNyXntzSWs3rWbdWvXAuAdFMzk8WO5Mz5BelH96V9LpHBYpKN6BAYR7etPTkUZi9d8TebuXXLfeYMGU4WnLDkfFdNTdjsWOppgt6b0joDwpRIkQxATgForUQp28+CiC1UtTfbu1dRXFUhSAND/5leptIqata7oWj8rob/RRmvKctMwBcRKHU1o/Bh6DbsLaCpHz9y0jrgRI/ENi8M1boqNJkik0QQaMpfy1cLn+T6rshnJ6W12ZVCfUILCIygpUP/YhQZoyXL1P4/KWgu3XhlJUHgEjY0Wynvcx46dP3F4y0d8tTWP6Q8/yTPPPGP0a2+Gc710duvWrYwZdhmrLrsUN41ZntDhGD1o9X5UbX3g6wnE6bJ3cIZQOduksDX6IAG9d5e2iaEezkZyjHQ7JdU1fL5pP7/V11NUW0uGmzvbt28nODjYqTHP5WvdYrFw2WWXMeWqSxiSf0hqSU7s2srr9y4DbCuFtA/aCbc02Tq0pfNwR3QtdjRua2HPN8uZKIz2exPER0uAtATHS5cu2z5/rY0flrMO5/qozimLhZ3VFRyqPUFtYyMbfvuVWX+bx4MPPujUeJ1l4sDVV1/Nqv9+B5pSwpGjR5P65mIAeo5XGyTFhZn5pb8aLrsgVL3paL2oBLmJ9vVvprsR+4j9egQGSXNNbXTkkzy1lPymSLXUWtg61FujNgBuqOJgQSS08AtIADfbJn/fWbUrvVPUCIt/VJIkNwKuAQk0lKbLFFb54QNN9g5WEuVmCpdkyt+qG9JCfA4KP0DU0GnUVxVQlbmUmLhJsvpLT9Z2WwXOEf5dmvXhCevmRVB4hDQJLTx+gqPFnwJwaQ81dqWmslS4uCgM7+tO8qUTKBvbjYdrfLls/IPMnTv3D+N+ezoxcOBA3IPOx/PlVygYd3szQmOkBREP4ZZIjrNC4NNFbIzGb0sVVGu2NSIu2qiXgD3RsYAjDY49UXKQtyd3Xz0IUH9HrwWH8uWXX3LHHXc4Pf9zFYqicPXVV7Pih+1c/cG/4POX5Lr7FqsSA231khbtJSbtjeLoK5mMxjVa31IPH6PqLaOojH47o745RpEb0ZRQECLhi7Xioz3NtDj2yI6e3Ih5XKCZ290zruG2hX93muA4i3Oa4Lz88svg5QGNTf8pCHID8O+pdzFr7Sq27NgpozZCyKslMNG+/lL/0iMwiMVrvqawSH1AvDB1MmMH9JfRnKxjJWQWFjF2QH+p5xFRHoCkqVHENh6R5d1upnDE7LQl31rTTfFeK1gGmLl8GReEmvlg/I24BiRCXY4kToAsSc/rciHJU5ZLZ3KhxQGVGIlUlpspXNULWS0mBGoDEvELSMBkFUOLKI8pQBVNCx2Odp1f917EA/HAaNSU0459R9hf1NCUorIirJsX32dV2jQZBPhwfR63Xqm+97M6rvuGxREZHkSAvy+7d+/moosu4n8d77//PqdOncLPz4+Eo/vYdvllzbZJ3VbYrGRckhw74zrTD8YecXCWGLUFjoiYQFuPa++cnR1PH73RkhxtCsvZyqsBxw+xfr2lk+Cgioznz5/PLZOncurUKU5cP9uG5IB9ImJPG+LseqOxW0OaHG2rL+F2NoVlb38jouLMWNr1Wif0RtQydWEVUbRtrxQQGwmOwVZgLGD0HYu5dys4RlXFbxw+fJju3bs7PN/W4Jz+93flypVc2WcA/SobbZb3HH89o+6+1yZKAzBr7SpAjbLMGzRYLk89dJD+90/nhnf+aROVEYj29Wfm8mWSxGihFQaLKI8eDaXplGcukw36jJC3eaWhNkaPjKUTZVpKS3YEtCXiFYWZVBRmsn/lAqfGBrVvTd7mlZQfPmCzT6V7NK5WEhSZPJfI5LmyLD1yeIpNX579RQ3s2HfEptngo49P5a7nXuCu515g0t23s/Dtv7Hw7b8ByGiWtlIsadgA1q9f79Scz3XcdtttzJo1iyFDhvDqq69y6bdpQFNqavdvdRytbVB/asrHHT1g22NjAM2du08n7EVcOmKb0wlBdKD59yWWD40I4dtvv6WxsdFwjP8luLi4kJqays4ftvGnMSOpyWsuOL/4kdGs+GiPU1oRPUQ/mLMFQS6c6bxsb672iJQjrY09GPXmcQQjogPY9NmxR7AKthbQt8GFb7/9tlXHbAnndASnX79+rFu3jn/84x+88MILcvmCiWo4U3Qgnjx+LD0Cg8gsLCKnoozLPasoy02T22cWFmE5VkxhURGvb2xaPmzQQLKOlbB6124Ki4pkFdXYAf3JOlYiydDUyEhuuvsBwDaVU1WaTYVGG6PF2tQfGD1KFQ+LdfrU0c67p9FQmo6rlcjkbl2CX/deHMlYg2+YSj5io5KI8Wuqzsp2CSXGzYKJpoiQb1jTOXmUbqQBNWoj8OuGx/h+0zpJUoQlw6TuvdQxQDY8lOeGJ1FDp+Ebpmp74qcsp3dKOsufur1Zl2RBdLTnJ94LcqPt2+NmCufKq67grQ/WMGvWLP7X4eHhwezZs5k0aRLjxo1j//79/LmxEVc76Tt96kSkXxw94J2JyLTGiqEtKa3WpqaMCExbuxYb7dvaMQRp0X//jr6vUB8vAgIC2LVrFwMHDnTqOOcyEhIS2LRpE/PmzSNxzPV89tJsLqyz7fI+4ZZ+zSwbwNaaoK1EpiXzytMBe3PVnod2LiISYy9dZc/KQbx3VIqu74xsb24/HC5vlUYHYKDJl3Xr1nVotPKcJjig5m3vvffeJoJz6pQkNoLUiP419yUmkezngwVwjZsCvCyXi+qpX44UMTKh6UazLn0nB1d9jhIVDWazTUdjUElUZHwCURUb1QXWFJNI5Qg0b7xnu0xES7RprLwNQmTblL4RpEVsp+2vU+keTV55CXlAgpXA1AKmADW1tPtfDwHQO2Vms6aCAiL1VJj6A8vefI+wbp9yzQNP4B+FJIUmwEeTSnMNUF3UgwMSueaBJ/hx+SI+XJ9Hflm+TEsdXfEpiZpzOGJNSZUfPkDvlJlSpyRSZ4nDBnPbtDmcOnXqjHfH/L0iMjKSzZs3M378eH5MuZ5Lv/xCfZDqXMWNdCGtedDr0dpIjbMExZ51RHtE0VqioiV1zqSMWvqOWlMmriU5jghmyZ4ikpOTSUtL6yQ4ViiKwuOPP05sbCzXPvggWT9u5tTX78r15iF9mYCtL5UWLZEb/XojInM6yI296Iu+w7B2fvbsFrSl6Ub6H70buna91gH9xK6tbJ+/tu3npCOZNut0c7KUWvjvf//b5mMZ4ZwnOHq8MnYEqYXGNyJtE73XNzYZ5ib4BXHvmKtlCkpobLKOlXBwfSpgLT/v31TX3yMwqJm1gYjYiIe4KSBWVkDtX7mAyOEpNiRFaFuUuiJdEz1bCFGyf1QSFnczlXhS7BIqtT71VjdyLWVJLy+R6bMokGRrbeoPZOy4XTYQ1EKkz0oK8qVnVeKEG2Wqa+OKT4kf1I/+N7+KxarjqSjMxD+qCKzWFK5xU4gbkQnr325WXSXK2P2692LZm++RX3aKRx+fimtAAkpdkXpuVn+uwlILoaGhneRGBx8fH1588UVuvvlm7s/MZPtVlwOqo/jR2gb6n+d+2o59plJSRsd1hqAZzU/s62wnYnsw0t7Yg5ZgiuM6ahpYUFDA5Zdf3q75nYu44YYbWLRoEV98tZYbrpsmTSgBw/JxLfSGk45gFCXREwpnqqw6ohLLaL7OaIe07x2lwGzG37bXbnpMECt7aSloIjXOftcVloYON+c8pzU4Rpj32gpSX1lA6puL6REYJI0x16XvZPWu3cxcvoyZy5fx8uimmnwTNbL6CdQoTpI5ih6BQfS8chR4edNz/PWMTBgoxclJ5ih86nK4KbInMW4WXAMSZDNBQWBcAxKIHJ5CSUE+kcNTALWKyTUggWyXUN7Jy7OxbNBDCIWFtYLsDFxewqy1q3i7uJ7agERqAxKpdI9uFpXJq64gr7oCN1O4dAMHmpEbrYVDSUG+9JlKnHAjvmFx+IbFUX74gCQ339WYeCcvj2yXUKKGTqMsN43YxiN8kneQ9PISQuPHcFU/lVyFdfOyOZ4gecKgE6A8c5lNyhBgy39TSUxMpBPNcckllxAdHc0jjzxC0b7mN3jx8NVqQKBJByKIQFsa13UkarJ/NozUGC07k+RKfG/alxZ6cqPXPWlfLSGgTzCbN29mxIgRHTP5cwx/+ctfmP3MC+T98K2s9hEC2YhhEXY77OqRX1Pv8GENTQ9oe9oXu0QB58vBHW13SXe/ZiTLTDyAFgAAIABJREFU0ZyMxhbj66vNWqs/skdu9GanE27pJ4+r97cSxxOff2ms6fB7+v8cwXnxxRfh51/AYuH+u6fJlNIFoWaZhrog1GzT10WkRUYmDCRz9y4Ork/lrYx0on39uSDUzH2PP869Y66W20f7+hPs5kGlezSf5B2UREWMU1WaTX1VAQ2l6fhHJZF079+b+UYBzHnnXV7fmEa2Syi5VkdyLUwBsfiGxdE7ZWazdfclJpFkjiK9vESWqIuGhfqOyNkuoUQOTyF+UD9Gj7qE3ikzbcYUpEZLbuIH9SNq6DRc46bgH5VE5PAUoqesZPbeQpkCBLXpoIgsTY2MJNnPB9eABK554Al8PBQKj58gY8cernngCYLCI/jnk3P4cfki/r7sMxklEtYOAvVVBWza1HnTtwdFUfj0009Zs2YNn5WVsfu3OrWCysOV1OLqZtsbEZmAPtHtjmq0Bh0h8D3dwmYjMqOHlsyE9O4mX+BY1K09hkBQPzOZpb8RGBhISEhIG2d9bmPkyJE89NBD3PrCWxyPbn4/sOl/4wSJ0UO/vYhetCVFJUiQeOAbkZn2RnccaWL0x9CSGwFBSOzNRRCblr5Ho++npQhWuXtDh9/TO4zgKIqySVGUSzWfRymKkqUoSrWiKJ8qiuJjXe6iKMrHiqKUKorS/Ml8mjF58mQGxF0Iv6oP+/vvnsZ91q7Eop9NXJjZpgKpvqoAEzXcGZ+Ad1Awpj7x9AgMItLbl7ED+vPuqtVqs7/CIrncRA0mamQ/nAS/IOqrCqRlwpGMNRzJWCO1MiKCIz4Hu3kwbNBA4sLMzFq7illrV7Gpy4U2ZeJupnD8o5LkezWVVUOkty8JfkHEuFmI9PaVYmex/K2MdJmOy6ko462MdH4KugbvWz+h/82v4mYKtznO0eJyCo+fIG7ESK554AkSJ9xI/5vV7sNCNK0XQCeZo4iq2I5SV0RZbprs2txQmi5TVxH+XRg96hISJ9yIa9wU4qcsl8c7krFGio99w+KkBsdEDQ0Np9j8/e6zFsH5I1zr/v7+PPvss/ySEE1Rbb1NV2N9NZURnCUcHUEoxLG0P/Wv1nRabg3RcSQebq2mRk9uWhOtsUeevi8o6bzOW8ADDzxAydEifti2VVb+eA0YinlIX1WPc4ttRNqIBER4ujllIOks9FoZZzoot3b81qTZjNJpRuv05EcPI2IzoXegzUsfqTGCNsWXvyWfk42N7K+pZvjw4S2eS2vQboJjvejfBIZrlvkDy4BZQDigAM9ZV18FHAAigGRFURzJSzociqIwZ84cLj0vGKydNHMqyrgvMYm4MLNMWWmx/KnbUeqKCHbz4IWpk3lh6mSSzFEyIhKmaaWedayEtzLSZWopwS+IZD8fGjKXUlWabWOpAE3iYVNALH5xk6gNSESpK8KnLocPxt/IqJiecl45FWU2jfwsGvdxobUBiG08IglasJsHCX5BpJer8xKO4AJGZe8Wd7PN2ACD+oRKchYaP4Zsl1CyXUJl6khEmEbF9GRUTE+C3TykjsgvbhLXpf7I+9XB7F+5gA8fvpJlb77H6FGXAKr2Rtt1WSwLCo+QxxTRr4bSdJ56/jX69b+YmJiYZnM/nfijXesTJkygpKSEm//7If3Pc5f6GyE41pMcLaHQo6OjI/aO5YhYtbeZYFsE0vbSUFq0x7ldHMMIeb9VseTnQu688852jd9a/NGuc1dXV2bPns2S1//Or27N72daaCuqnBETtwd6kiOO+cPhclZ8tEeWs+tfjuBMSspRCbm+Z44R9DodZ+fWEvQRI+2Y/ziax9gJf+pwE86OiOAMRxUrV2mWjQd2WiyWLywWSxkwD5hoXacAXaz7KMAZ94q4/vrr+fXXX+G3pinr0zbv5OXJ97e+sp6y3DR+3fBYs7GMCIIe2qZ5Ar5hcUQmz2VeZQ/erw4m1/diDtUrFNfXUukeTbZLKCZqSPALokdgkCQleh2NICKuAQnUBiTSUJpO7tYlMlJiD0nmKBL81GiTGDvGzWJTpWWE8sMHZDQFmkdukv18pC2FFiL9l7FjD9/sqSCsmxd+3XvR/+ZXWT92IQ2l6Zx365M8W9mTxAk3yv1KCvLJ3LSO3f96iIylE3n5L7P4bNUWPv7447PhRfWHuta7dOnC7Nmz1bSsDvZ8qvRoiQC0JbXU1n2MSJG9sZw5RkekxYzIjUhJOUOO7K0rP1nPnSvSePLJJ7nkkkvaPc9W4g91nYPaC2rXrl3k79zcrH9LzPRpzN7yepujMe2FUZWTM9sbvfSRm5aaF+qJiZ7U6D87NC41iN5EeLo5pTcySoeJMefuP8SW8nLefvttu8duKzrMi0pRlF+AiRaL5XtFURYAjRaLZZZ1nTtqRbIPcAL1P4ErgWctFstCJ8Zuk0ePFmFhYS1vZAc//XwAn7ocdv/rIenWDU3ppNqARD7JOyg7Hgv9jk9djqz6KctNo8Lq6u3XvRfnJ8/jz6s+5ZcjRaqOx5omE0QrrSiXJLPa9fi7mqZ/iCK9faVH1pnC3CvqiB/UT567NorkUbqR/SsX0P/mV228tESpuqiAEuu0NhTlhw8QPWUlMXMf49Az8wgeo3bgrV7zNRlLJ1JSkG/jV7V+TwX/2vIrm7fvoVevXs0nagcd7c9zuq71jrjO9airqyMmJoZVq1axaphKHEUEZ1Swt2FFjxbO9o1xpj9OWyHGbu04ovS7Lfs7m56yR3DsfZf6OeiPE9TPzMEdudy/aw833HcfL7zwQquIfEde67/3e7oeCxYsID09nQ8Wzcclv6lfS2NEX1zy93Ji11YenfIBEZ5u7eqFA/ajPUal3Eb7tPbYglxM6N08wuFoLGdIlaNIltZ3yghG87GntTGa59aGcjbVl7E7J6tVHYzPtheVL5ArPlgsljpFURoAX4vFUgXc1NIAiqJMA6adpvm1CunlJST7qTcsU0CsrFbCKiKO7lLCTZE9ZXSluL6W2MYjZLuEEluXI4lQ5qZ1DJ44A9e4KaSX2zan0kaQ8qorZKPAGD8zqXt/BJCpnzMNLbmxuKv6pPLMZeRtXklJQT5xI0baVDmlLVb9RILCI4gcnkLe5pX0TpmJb1gcV82eJqNOvmHL+HXDYxQ/M5fyzKVsm+BH/5tfZffSifh172VjxPnvdfv5eMtmtv64j549ezab41lEu671032du7u7M3PmTJ577jn+rEtRpRZXMwrHrteONCotbecMoTB6wGuhHdPZcnBHY3V0Lxs9jL5LMWZLYwf1M3P8RC0PHtjPpIce4tlnnz0bUUp7+N3f0++66y5eeuklvs8p5tLovpLk1H65BI9x0/CI6At8ILdvDcnRey61lRyJnjPtJVh6aJvqtURqtH1vWpqDo3lGeLo1i9as+GiPHLcln6rN9WX8cOo39vxyiKioKIfzaCtaJDiKoswBnjVY9b7FYplqZ7dyQDpDKorS1XqsMjvbN4PFYlkCLLHu326qX1hY2GzZ22+/zb/+9S/S6stAUXjtzSUy5SREuEnmKNKKcon09qV3ykyOZKwhMjmB4vpa3spI591Vqwkzm7l3zNVE+/rLCqI74xNIK8oFcxTBAdH4BSQweKJaBp5dXysFyllhanPAvOoKIr195c8mB/IaMguL+OVIEXfGJ2Cihuzdq+U5iCiJ8J0KdvOQ0STRkdkUECub7cW4WWSDQK0WSJtq0rqTA7KTcn1VAa46bc6VT22hCk8Z4QKVkGRuWkfk8BTVusEqoBbHEAadIhKWsXSiLFHP2HElIcF+smIrKDyCVT8c5x/Lf2TbzgP06NHDqd93W3A2rvWOvs6NcPfdd/PKK6/w2MoVrE26udl6R6aQYOzz5Iz1gTPQ+jOJn1pi4izBai35MUJHlcUbRW/037HRd37gx1zu25XBbbNmMXfu3NNGbs6Ve7oeJpOJWbNmsfClF4hb+gHnWyM3XgOGgpXsaB+0bXHFdgbOVDLZgz1CITyfnE116T2z9KJeI+TX1DOhd6DT/XqMuicDrHDQe0ic26b6MtJPVbA7N6fDe99o0SLBsVgsLwAvtLSdDj+j5mwFegFZFouluTnSWcTtt9/OggULoMtJ8Pdl9a7dvDx6PHnVFcx5512q9mVw3+OPMypGjRio9gVrVG2LSyh3xifYjKctj86rrmgSInsDbp7yAR/s5kFxfS1Zx0oYFdOTnIoyaQERZyU8WcdKyAks46bInnJOwW4ebLBGk0TaB1ThrUnjNi568ST7ReIaN4Xc+lqiSrcTawrHgln2phEEQ0RfqkqzZVRmx74jDOoTSlB4BL5hcfhHJalpNmuHYaBZebogMgCDJ8bJ8m5tmXfu1qZmXL+CTf8dUKNFglAFHT7AsS7BvLR4JT/8uIfYWFu9T0fjXL3WPT09mTt3Lo899hjfnchiuktTKDi1uJpRwd4yGqEnHEYP69Pt2dRSV2F7RMSRlYK2e7FYJj539Pk40xXZiFC+nJnFjTNm8PTTT3fofPQ4V69zgBkzZvDaa6+x88d0Bg5OkCRHuGdPuKWffOBroU/BaAmPfp29dI0jkmTUcdieIaVY1wwiKmKQBhMESMxBLxQ26oDc0vmI+TjjMSWO6cxYR6ljE+VkFuS2SzriDE5XiuoL4GVFUUYAe1H/mD4+TcdqM1xdXfnrX//Kn/58M/j5SKfxl0ePZ/L4sazTWC+kFeUS7etPcvJc6kvTyeui6mIE+Yn09pXu4QLBbh7grf70qcsh16pPMbmbwc1TlpS/vjFNHjvVy5vXXlFLsLOOlfAJcEewG7Ge8F25lUTF9ORyT2ztC+qK8EHtaSOsJw6Zowh2o1laq9I9mp+CTFCjVnn5xVndw0uzJbkBZM8bv8JM/KOSqCjMtNozqP1p4g8fIH7KcorrazG5mzEFxNoYcG5c8Skhm9bxxeZ8pk08QElBPoMnzmBeZQ/eXbWagzfHkblpnc3c/Lr3khYVvmFxPHTLczz1zLzTTm7agT/EtX777bczf/58UlNTedPyC097xtqmqoK9bbYP6mdulev16YSzUZzWjKElNh1JcgRRNIrQOIqU7SgrJ8/kQ+ozzxiu/x3gD3Gde3p68vTTT/PXp59ixZdN/4x5DRjKiV1biZk+DfOQrTB/bVOjOTuO2HrYIzBiX0EwjCJCLflJ6Uu+jewYnIGWAOkjMPY0QNrz/+FweTNihB2SI5c5MTfxnViwsI1feeP9paed3MBpIjgWi6VUUZTbUBOegcC/gealHL8DXHfddVzcJ57tx4ohyJ91a9fy8ujx3BmfwJ3xCeRVV8h01esb00gNMwMKmYVpjB3QX/a40ZpoCmsEC2ZMbtBQupF6IGroNNlROLYxh6mRkVThwbq1a8HL+oA5US0jMCCqtLTFDGr6LMGvpywFF5qWKjyJrcuRgmVBrAAsAQlk1ytQD1DbrGoM1JTR4InA8kWASnB27DtCUPgBotTmoOSXnSKsW5NBZsbSicRPWU5DaTq1AYm4BiTSkLmUH5cvInHCjZQfPsClPcptzESbIl9ZquBYY+RZfviAFClv31lJ6akApk+f7uRv88zjj3KtCzL/2GOPMXKkKvIW9g1grarSRXEE7JEcI9LRHqLg6Bhazyh7aIsOqCPIkz20VD4uCM8pi4WlShdeeuklPDzOvMbOGfxRrnNQK6rmz5/Pj6n/YdQVyVJkDKq3ktrpuLm/kox+WBvZic8tpa/061vcXpMC0hIaGQnR+TdpUz7aMnetXYKzc3V0DpKoOejIbITWNE88xAnCB/bllltuaf0k24AOIzgWi+UC3ecvgS+Nt/79QFEU/va3vzF2ZBLV4SF4BwVzwzv/5N9T7wJUMqElHKDaOhQWFREXZiba11+NzmxdQtRQVT8nPKdEJEJENfwCEqQQub6qAKoKMAWozQMJCqa6pBjLsWJ6BAbJaNDQ558G4IWpk4nWcRLhzyTem9zN1FcVMAK18R91KjEqy02TNhFC46ON6gjBdHp5CZdHJQEqwSk8foJBfULpf/OrqmB66DQu7fGp3E94TuVteMbajC/R2mdnGO7FzxNkNcrM2HE7ofFjCI0fo3puAc9fEAuoflzCCkKQoCMZa1AiruGeGQ/z3nvv07Vr11b+Vk8v/qjX+vXXX8+CBQt46623mq0TPlUtPZRbiuhoyYIzgl4xljMEyhmNzJkqW28vtN/zouwcuvXqzQ033HDG5+EIf9Tr3NXVlXnz5jFr1iNcNmyIJI0iigMqydBHMURDQGHS6Ui4q+/+C821LkZpsAhPN0Nti1GUxl7aTDu+NnrUUXCYJmsHMmpOsJVf+XbRKlxczoyJwv+c2aYRLrvsMm66ZQqf/7yX8vRtHPTy5q2EgdwZn0C0rz9Zx0qkmFgLkb7Kdgkl76KHOVSjpqpi4iaRt3midMIWRpS3LJ4kiYVwy44aGs7yhx5m5vJlYDZTWFRE1rGSZukuQIqPRfTF4m6moTRdEij/qCRqAxLxKN1IWW6atH/wvvUTpqxaxX2JSeRUlJFTUWZT0p5eXiKjVAl+PQkKj2DJ8q1MmzjUJvICTT5VkcNTpOhYRFy0rll1s9fibY6Ciu1ymZin3noB1H434li//lbDrXffyKOPPi+jDZ1oPxRFYcmSJSQnJ7MrexdvxV5mE8VJLa4mxMMVNKkUvTZHpK6C+plbjH60FOFpa+pLzMEe2uIM3lqBsbPN/fTfo/gZ0rsb5/cJ5p+pO9lt8mHrJ5/8niqm/vBISUnh/fffZ96rr3P/Uy9ILQ4gSY6WVEy4pR/mIX3xGjCU2dMh7ZYn7YplxfZamIeovXe06Z2LHxkNwHZrOkwbfdHCHpHQRpSMoE0f2YvciIopp7yq2im0tpfqi/B04zdLA8tqS3jjvaUMGTKkXcdpDToJjhXz589naUgwXKgSi3dXrZZkQhCZwqImr6qRCQNlhRU0CYxHxfTkrUMHof8jvNQ3TG1QZxXRfnRvHxsRLajRlcujkvj31Lu44Z1/Ul1SDDRFWkDtlCz8rfJQuyfHzH1MVm9NjUugoTS9Kf1lCqciY408zjdFuWzZsZOxA/obnruIUmk7HD/6eFMxRVluGlEBsdSjEhvXuCkAuFrLxYVYuSFzKXfG/x9Dn3+a6pJiFj7+GFMjE5j47Hssf+p2vtlTwczbhwHWKJe1L5BA+eEDFCtB/N/sz5l+7wM88MADTv/+OuEc+vbtyz333MM999zDFyey+MKs3pgFyQE1XbV7W6HN8hA70Zb2pHjspZ9Oh+bHXmTpdBqKOqpMA5ixZiuHFQ9S136Fv3/LDUM70TosWrSI+P79ufL6/2N4T1XvoY/iCEIiyA2ofXMS//sfLv5yCdvnr1WJTjuiGhc/MpqLUQ0uRRm1HvpokhaCONgjMtplztgkaGFPA2R0jLZGiX45VcP7J4/w5LPPcNttt7VpjLaik+BY4e/vz9I3/8mUB++D+B5UpW8jp6KMZD8fgiN7wtTJNtsLwiH63wix8esb09iyYyfVJcXc+dobRA5PkQSn8PgJ2LEHduwhJNhPVihVukdDfS33jrmarISBPDFoBCZq2FBeQdW+DDJLiomcehfF9bVc7lnFd9XI5atDzWpDQFM4tVgFxXXI9BhAkm8UL2jmL6I3MW4WqkDVAlnd0j1KNwLYpNeE+3m2SygxAQlssPbwyakoY2rcJLD6TflHJfFTdYVMtUX7+lOFJyarueb3M2ZLEbGbKdwmPRUUHoFf914sXrKZRx6dwzO/X7HlHx5z5swhNjaWrVvVG73ewkFA+zl1WyGjsI2eCCKiFeuKz63R5wiRr1bYDLaRGEdEREuIWtLotBUtldK3FsW1tewsr6GgIAtPT8+Wd+hEqxEaGsqcxx/npeefZfiH/5RaHK8BQzGi0EKfI+wezh83jYuBiG17ZRTEsIR7WIR05zaCIE5m4BKDaIozEZ1LULU4+TX12OtrfUl3vxbdyLXH01ZzabdZsf9Yq3r9tBRp+u/Jcv726is8+OCDTo3XkegkOBpUVFSAm+1XonpKVTZLGeVVV+BTl4PF3Ux6daVM8QAMGzSQsQP6k1ddQWxUEiHBi+S6wuMnCOvmJSuU2LyS6LgpBLt5sHrXbn45UsQTg0ZIL6v7Hn/cJrJicTdzOUWy0ira158YNwsWzDZCZ+EDBZBXXmEgXG7qRyP0O0pdEbkZa+idMpOq0mx+XL6IwRNnqOkn92je2rFJCoRTDx0ks7CIaF9/cirqmRo3CQuQ4O7Jwscfk8fTzunSHj7SOLMST0zuZvy695INEP2jktjxaCoPP3etk7+xTrQFXbt25dixY4SEhDDs6D7+E9JHkhx7OFrbwPsbcgmxRnaEXkfbtdcZCwUtnEkT2WsEqE2Vie30REcfaWrpWI4Q0rubDckRn422g+bmm/pxvttXwJVXX9lJbk4zKioqCA9seoBLM06aUlV6dMvZBNb1HuOm0X0cmL9cAtZojl7oaw+S9Fh/alNF9lI59khK/pb8JiGxRqTcUkTJXnpKX1Gl1RFpt+kIkXFliA/XXnt27ulnRunzB8FNN92EV72F5579K4V/v43Vu3ZzzR238/rGNJmKCnbzIK+6gtRDB6l0j0apKyLBL0i6hmvNOoU55uCJMwgKjyB+UD/yy06pkRzUKqWSgnw8Sjdioob7EpO4d8zVFNfXklNRRuqhg/QIDJKEJNjNgyo8KctN445gN6ZGRpLgF8SheoVD9Uozg0yxXEBEmWYuX8astav4JO8gJmqodI+mCk+yXUKJGjoN14AEa0XVDPI2r5R9crRRqnXpO6WmZ/Wu3ZIsgdoccVRMTy73rOKblyaQu3UJPy5fRPygfpgCYmkoTcenLoeG0nTKDx+Q5Mbibsa1q2enFuE0Q1EUJk+eLMXG1x3dB9CM5IR4uKqaHA2O1jZwtLaB1OJqUourObr/eIekeVrSzegdue11B7a3jdF7e/sZwdmuxfaIjXb7kN7dcEXpvM7PAG655RZWrl5L+W+/yWVCiyMiK+K9xzi1SOTErq2S/Ljk76X2yyV4DRjKxY+MltYETj34reaW+VvypbEmOO65IyCc0IW2B5ocxMWYIsWmTbXpj683+xTjaH2q9HoisU3EsIhmlV1tQdeuXc/atd4ZwdEgJCSE6Xfeyfrn5jPvwu5U79kJQOqbi9mSMITJ48fKh7z4me0SSgw1JPv5AJCjMcbMOlZCuq8/kd3/j/i4SeRteIbK2i2EdfOSZdZHi8tJW/wgSff+neSABBujynXpO8m0+lTlVVcQ7Oeh2iSgNswLjR8DAYmylD0mMlJ6PvmGxRFjrZwK9guCGJXYZO7eheVYMZmBwaoB5pirWb1rN/clJjFz+TIWTJzEiKp03EzhUlujtZYQVV2Tx48l0tuXBD+14sujdCMNgI8pHB8g6lQB9VVw1ewVNt+xmNuP1nOOn7JcNi2sdY/G3dObEydOdOSvtRMGmDNnDgMGDGD48OFcc801cnn/89ztGnEakZ3U4mpCfquT6Ssj2POC0i432lebDtOmxfQExV4XZD3sETF9VMge2pOi0ncxdldcOq/zM4DY2FhSrr2Oux6YxdLFf8fb28tmvSA5W3wHw28wJKIvXgbjCMJz8SOjbXroyF46VjGv1gZBC200RJ/Ssfmp60NTZE2PiWMZRWy0JMjRcfWpKCNoxdDabfMdCK5bgqen51m71jsjODq8+OKLxPfti9fqb8A3AABTwhCGDRpIj8AgZi5fxszly8ipKOOTvIMEu3lI5+4qPLkpsidJ5igZdRGVSkpdEaHxY+htbnpIBIVHkDjhRuJGjORIxpqmyEbmUm6K7MmCiZNkTxst8TEFxOIbFsf+lQuk4/hNkT0pz1xG2uIH2bjiU75a+Dx5G56hoTTd7rleEKre2McO6E/qoYMsmDiJyz2rOJKxRnZJ9o9KkqXtr29Moyp9G1Xp24CmPjtRFdtxM4VTVZqNxd2senWVZlMbkMh1qT8ye28h9cOfBprsIQZPnMGmLhfyTl4e2S6hgJrOMrlDTc3vqjnqOYmIiAi++uor7r77bp599lnGFeyWxKb/ee420RyjSI4Weu1Oa+FIpGzUk6claAlLSwLoXhOHEdAnWm6nP56IyLSF3OhJjRZdFaXzOj9DWLx4MX6BwSSOSSHzUE4zt3GAIefV0rObGoVujOhrs43XgKE2LyMHbkFC9JEV7TZaGEVxtMSiaNteSW602h/xPmJYhIzwiHnFTLe1+dI37Gsp4mPvnNrrmeXl5XXWrvVOgqODm5sbr732Ggue/ysB235gend/dl4Xxefjx5F1rIQLQtVS7vvvniZ1JrUBiXxXY1I7+tL0i+wRGMRbGekU19dSX1VAVWk2o0ddwvdZlTI95RsWJx/6VaXZklh4lG5kxKmfSfbzIfXQQZ7fsYni+lo2lFeS63sx/lFJlBTkk7F0IjlLU/j+2YH8aG3QFz+oH/GD+pG5aZ3aD0cHJTAY7yBrBAdVk9MjMIhkPx/KctPI3LROkhyLu5lgNw/pnYWXN0pU00PjuxoTtQGJWNzN+EclodQVqV2RrecQF2bm9Sef4K0MNR1VYe2K7Bc3SUZ/YtwsVJVmqzYOtcWd/9meIQwZMoT09HQ2btzI4MGDGfXdh5Lk2CM7RgjxcG2WqtKShtJ9Oc2EyM7AXjrJGRjpgvToNXEYnrEX2t3O2UZ94qWFVrNjpMsxd/fvvM7PEDw8PFi6dCn3zLifpDHX8tzfXuFEoG2bCpf8vVJ7I2BEhECNmGgFutqUjzNoKUW14qM9Mg3VGnJhT1MELVdVieOJ82m2fzsaCXp5eXVGcH5vuPXWW9l3IJtqJYL+VzzGlfFhzOsTyufjx8kIxutPPkHimwv5JK/Jg0poXiK9fSVxyKuuINf3YnX58BSuHa5GbqTQGDWyUVGYaWN1kOt7Mabp9/DuKtVcU9ucTxChBe9tYcF7W6QxpahG0m4nSNfIhIHE9R/AyNGjqS4pJnP3Lhav+ZqptwVlAAAgAElEQVSJr77CTZE9aShNxy9uElfNXmFrxEkNMW4WpkZG8tXb7zHjDrVMXER2tMcqy01TPaus5/LEoBEoUdFqyf3wFHzD4qivKkCpKyJnaQpRFdspz1wmydlJixvu7o4fqJ3oOJjNZr755htmz57NhAkTKLwlmcR9G3m6Jpuna5quRT3J6X+eOyEerrxp+aWpCsvJ3jDQOqLTWghi5EhvIwhQTfbPzfYVMCIuWhiRmpYiPWKbmlOnOq/zMwhFUZg+fTo/7drNgZw8LhpxJWszj8lozfHoERyPHiH1OY4g9Dj2iI29FJWzyK+pZ8X+Yw7tHaBJxKzVDBnNw0hjI9YJ4uNsWXlbtDjV1dVn7VrvJDgOEBwczPvvv8/ab9L4zasnMTGDWP/e/TbbZO7exQMvzpNmmWlFuVKQnOznY1N99ZnHMD7zGEbu7csA1e7gq4XPy/Xlhw+Qt3klXy18nqrSbNKKcrHk5lC1L4MegaodRKS3L2lFudKHCsDHo7mAS7hx71+5gLwNz3C5ZxVPDBrBT5PHybSX5VgxB1d9TlX6NhLfXEiu78VsKK8k2yUUv7hJNseowpMqPJtZPER6++JTl0N55jL2r1yAX9wkqd0xBcTiUbqRgodGcFHJV7LBn2tAAhZ3MyUF+RzJWEPe5pUEhUcQOeRODuYcp1+/5n+QnTh9UBSFSZMmsX//fry8vOjduzdvvvkmJ0+elAJke/hPSB+bbTI+2UPJniKbqI0WjvrmnM6eNFpoo0sAB5Zvke/tkTQRfWkNidPup0dOdXXndX4WEBERwYoVK1j0jzd4cM7TTJx8F1mHDsv12qiNnuxoSYQgOQIt9pHRCHb16Sgt9DYN9iAIikhlbZ+/tlmpesSwCC5+ZLRdjY4zaSpHVV/OoBELBw8epHfv3m3av73oFBk7gcsuu4yffvqJRYsWMe2vf8MnJJDKLg3g5YElV72Jp765mJdHq2a7WcdKVA2OlQxoS8hFWiv6ooe5aug0crcu4auFz9uIjguPn6CiMBNihsn9hCdVXrVa8l0VqXYc9vFQL/Tvsyr5Pmsr1w6PkIaZYd286J0yEzdTOPVVBfgAbxfXs3pXGt5BwVTlNj2ACouKuOGdf3JBqJmxA/qrvX9QozeiQkpEbITAWhC52GA38javlG7iFnczvmFx1AYk8udVn/L5+Emsf3YYR4vLuTZ5nhznqtkrbNzFi4qPoSguhISEtOv31Ym24bzzzmPhwoXcfvvtPP7447z00ks8+eST3Jq/i/u69gDUdJReiPyfkD4246RuK6S/9aEef5NzD/GSPUUd0mvGXsTGGZ1PyZ4iuwaZzhIb7Xb6/bRjZ1VVc0N8vFNjdqLjMXr0aPbu3csrr7xC0thruWLUGB56dDbnhzUvKYfmZAdUknPf4qbPSQOGyg7IE8BQ62IkNhZwlkQIsbE2UiQ0OdrKMC2EskyQILG9dpl2fEfzaanvjRYe7hbCw8Px9vZucdvTgc4IjpPo2rUrDz/8MNnZ2fxl0i0E5pcy+LwQqGlK08SnjCLa15874xNkVVVetdp5WNgjjIrpSY/AIHIqysh2CSU0fgyJE25kx74jfLE5n++zKtlf1EDmpnUqqfHyRgkMlvqYi0q+4qW+YTRkLgXU3jKVtRb5+nB9Hh+uz2N/UQMhwX4yWiIa9QmCFWY203P89ShR0Taaml+OqFYR6eXqa0N5JcX1tTbpqEhvX9n9OOtYCRZ3M5HDUzAFxEoNTkVhJp/kHWTd2rVsKK/kqtkrpM1DXnWFTLeFxo+RKbVVix6hm1tlZ/nsWcZFF13E119/zUcffcTHH3/MhRdeyJD3nmFRvW3ayh5Eymr3b3VkfNK8c6s9XYwjctPayIlIQzkjNNYKjPUvbWm3Mykoe/PV75d7qo7+/Y07i3fizMDT05O//OUvZGUfoldcLGOvSOLuB2ex+0iFbPYn0BhhSx5Eakss8xowlMaIvrKU/IfD5VJLo0dbuiGLTsZG0EdpjLRDstmgg4orPex1TW7N/I82njyr13lnBKeVMJlMzJ49m3vuuYfXX3+dH+d+A32iwUdlqDkVZYx7fDZfvviSSnK8fWVaR0Q81OZ4ZaQV5TI1MgFYQ1g3L0aPUgnAkuVqKPRyzyoyln1OXnUFG8orGREQK1M6JQX5DJ44A7/uvfg+6x0i/LsAqtt3Za0FUKu0GkrTJbkBVfjcIzCI1ZpzGpkwkMxC9T/f+xKTSD100CbqpK3gAjWSI/r+qOdmwS9uEg2l6Xzz0gQA4kaM5DbvYm56410ALPjQO2UmlG4kOSABNGLs8sMHyNixhy37ahh10z3t+fV0ogMxbNgw1q9fz8aNG3niiSf46quv+Pe//811R/ex2zO2xf0F0cn4ZI+M5IiuxW3pKqyN8Nhr6iciOIK0eMZe2ExnYw/2ytlbmhMYN/7TrtOiodHCL1V1Zy1s3wlb+Pn5MXfuXO6//35eeeUVRl02lA2r/wN9Lub8+jKH+zZqyspFl+Skj4YS8caSVomE9eRF2DLom+3ZIxda8uWMjsg8pK9h92UjE1Jt2swZcqON8GTX15DS13lS1dHoJDhthI+PD3PmzKGyspJ5byyCHhHg4c79d6ulehNffYWSOdPASizSinJZvOZrABZMnCQjKYfMUUTFjyGRphLqaUD0lJVUAsFAWoVKjEZ4qxEP4VouhMaX9vCR8wrrpnZL3l+klu4eyVhDZPJc8srVXjk3WVNPAPc//BCcqKawqEh6YMWFmVmXvpN11nkKclZcXyujLiIqBRDjppKpQ/UKMQEJJN37d/avXEDU0Glq48DSjbgGJMjKqqrSbEwg02YChcdP4NpjfOdN/3eIxMREPv/8c2JiYvjwww+5+eabVRGyZyy7f6tzWGUlHu5ag86OhpbsaN+LCilnSE5An2inttOn0fTvnYk0Haquxmw24+Vl1HGlE2cL/v7+PPfccxw7downnnuR1/72V9AYLAurB32ERHzWEgsRKdHqWByRA0EktORA9MUR6+W2mrSXPkIk7CaM4GVNoV38yGh1G2sZurZ3j348raGn/vgt9caJ8HTj8IhLz+o9XbFYLGft4M5CURTL73WeNTU1zJ8/n+f+9hL1/iaIDAFriqV6zdcodUVUukfLSqusYyVSwwJNfXKEpUF9VQG5vhcz9PmnmTx+rPSlAmgoTcc1IEFqYnzqcmw0LJmb1gGqjuf7rEoqay0898wdRCbPldVdMW4WOc7AN9V9RfM/gFF/vh1Qic6omJ4k+AVRXF9LWlGuTW+ftKJcso6V8MSgEdKy4lC9QrCbBx6lG22cw4X3VH1VgSxbF2XzFYWZAKxdvZm/f/0bO3bsoFu3jvP8AVVEa7FYfvd5r9/zdQ6wbds2HnjgARRF4d133+W1PmNkfxx7JMdRSkffWM9eoz176R5HTf3CU8Y0W1aT/bOhyFm/zIiEZXyyx6n0lKOITkjvbjRaLEz+cScz/voC999/v9EQ7ULntd5+VFZW8uKLL7Lkn2/y8IzpPHLfdBtiI4iMM4JkbS8bZ2BPZKwnR1qSY6S9MUpTueTv5dAbS+Q+9vyz9Noeo2X5W/Ltuq2Lue9uqCQj2o/09HR8fHwMt20rnL3OOwlOB6GwsJCoXhdyKi4CPNWbfc/x17Ng4iSS/XzYUF7JzOXLKCwqYvL4sdwZn0CMm0WSAgGfuhyyXUKZtXYV9yUmkeAXZOPnJBzDBSnK3bqEyOS5VOFJQ+ZSvlr4vLSCABg96hIih6fgH5WkmnpaIToTi+7GAN5BwdKUU0tmYtwsbCivlNYRojJMOJ6L+Yt5aXsBKVYjzorCTHzD4vCzdlfO2/CMjZP48+//xOW3PMXDDz/c3l9FM3Te9DsOjY2NzJkzh2PHjuG29FsAhyTHHilwxkRToKMIDjSVhYvoTksRGy3ZEek1EY1qiYxp+98IdInx4c7swxw9evS0aM06r/WOw+HDh4nv35/vd+2hh28Xw9SPUfQGbCuutms6H+thzyFcDy3BcURu7BEbAUFw9Pue2LVVEh6xXEvSoHl0xxHBuaS7H48cPMgDby1k8uTJhtu1B85e5+0WGSuKcpuiKL8oilKlKMp/FUXpaV0+SlGULEVRqhVF+VRRFB/rchdFUT5WFKVUUZSZ7T3+7wVhYWFcOXQY1DRVl2Tu3sXEV1/h+lVfAnDvmKsluQEkuREiXhM11FcVENt4hM/HjyPZz0d6RWW7hJLtEoqJGklu6qsKyNy0TjXL1JCKQX1CGT3qEkaPuoTeKTNxjZvC28X1PL9jE39e9SnP77BtaOUdFExc/wEMGzSQaF9/borsKYXEaUW5MmK0Ln0nq3ftlimqZD8fm/kLciPTUdgaCQpyo9QVsXHFp5QU5MtXXskJYmJiOvJX0uHovNbBxcWFUaNGkZWVxZuWX4AmfyptZZV4rycnWmIjiEJLPlACRoTBGbhdYBsiF+TG6L32M2AY2RHCZTH3XhOH2T0HPeHZe6CYmJiY37WQvvM6V9G9e3d6xPXk8KFDzUTHLUHb+dgRtBoXAUfVSYLcaLsYC8FzS+QGIGb6NPnSe3GJTshF2/baEDSRbtNWhTkTkeo6uM9Zv6e3i+AoitIDWAxMBwKBr4HliqL4A8uAWUA4oADPWXe7CjgARADJiqKY2jOH3xPi4uJsqqosuTmEmc2kvrmYa/7vBhav+ZpFby8lftL13PDOP8mrrrAhJlV4yoaADaXplGeq/XIEqRG2EB6lGynLTWP/ygV8sTmf3K1L5LYhwX6ygaAoERfHWJe+U3YvzqkosxESg5qWEn1tgt08ZBQHVKHxvWOulj10AEmsxNy05Easq3SPxj8qCd+wOEl46qsKbOZ5tLic41WNREefvuZv7UXntd6EuLg4MjMzmy0XJEfvZWWP5Oi1M9qXfl99NZMjBPSJxu2C3pLY1P+y39lTaxGih46I5IieP1po56j/WRvi3nmd/4EQHRNLTrZt5aCWULjk721R1CvKurVdgmdveZ3ZW163MbN0VCllBEFu7JEvZ8TGRjCqtDKqBhMw6usTMSyCgkOZZ/1ab28E53Jgg8ViWWuxWGqA+UB/YDyw02KxfGGxWMqAecBE6z4K0AVV4KwAv+84ZSvQo0cPmwgOwMFVn9u8t+TmwIlquUzr9p1eXkJaUS6V7tHS7FKpK6KhNB0TNWpPmtJs9q9cwFcLn2fJ8q1U1lpkqscUEMvgiTOIH9SPjB17pPWDUldEkjmKC0LNXBBqlpEYaPKjGpkwkFExPYlxs2BxN0uPK22jwqmRkUBT2kq4l/vU5cg0msXdTKV7tHQoF8tMAbE2ZC5uxEgSJ9xI0r1/p3vKbBq6nn/W2X4L6LzWrQgNDaWyspLKykoZxYHmZpxGZAdsq570TfcExHp7hKYlY8/6X/Y7RWycrbAygj4a1RJOWSx8W1XO4MGD23zMM4DO61yD+D69OHQoC7CfjjKCUTRFRD8u6e4nIyRJHz0nHcrldlayoCdFAloC4pK/l/Pry5qRHEcpMyOIbshG5EakqM57+UOOzl7S1P3YQcPCz1P34uLuSWhoqMPjnm60l+B8Adyn+TwIOAHEAz9plu8Fgq3Mfh3QCzgMrLNYLNUYQFGUaYqi/Kgoyo/tnOMZQ0BAABOTrgLgxH/eZdTd99rd9uCqz7nm/24gPmUUaUW5shpJRE0EeRAQkZGKwkwyduzh+6xKAK7q54tf916YAmzLduMH9SNv80qOZKyhLDeN2MYjvDx6PHFhTeNG+/ozdkB/6ZKuLQcX5ESrDwK1dD228Yjsd6PUFUlSI7odCwhCo43qKHVFsrKrfvjTHM78iT/f81fefffd33tVyWm51v+I17miKAQEBPDrr78artebb+7+ra7VaaX2oib7Z0Pyok1B6dfb20cLfYm7PkVl1ChQ4O3Dv1BbWcuMGTOcP5Ezj857ugYBAQHUa/4h1ZIcZ4jOoTeWSKNLaCI52+evlaTDWQGytjmfFoLciJ/25qXV3wic2LWVQ28sadYJWXRI1i5zVDKvjTyVNdbz17wcli1bhovL2W21164ycYvFUizeK4ryJ+BN4DFUxp+r2a5OUZQGwNdisVQBNzkx9hJgiXXsP8R/BCaTiepq9Y/B67rJPOVzkFR6trCXig3lKmFJ8AuSxECUUYvKo4ZS1bAyJNiPa4P92LHviGyeJyCqknqnzKSqNJu8zSspP3wA/6gk8qor1D44Y66WJpfJfj5URfZUNT2lP9MAuAYkSBGyID0mamRPHUG+BHE5VK+QV11is61cbxU2V5Vm4289j9B4VQB6+LdfWfD819x51/2MHTvWuS/5LOF0Xet/xOscwNvbW17rAlpic7S2wVB83FF2DNookB6iKkqvp7EHR/YRRhApKvFTLNN+1p/n5uOlrD1azJ68fFxdf7/dOTrv6bbQ3tN/dfNvZshpBG30xlFqp2jbXti2l0u6+zHBWpmkJTsitQXG5ObErq14jLN1EDeah+jPE6PTAzmK6uiFxuYhfan9cgkXAQzpywTruenJWQMWlp0s5rlXXmbEiBF2xz9TaJFeKYoyR1GUBoPXO9b13RRFWQksBKZaLJZFQDk0/SuvKEpXVDLluGvSHxz6m/5jH6gXhylhCAdmDTHcp+f461m9azc5FWWkHjrIJ3kHOVSvSPKgxf6VCygpyCcoPIK4ESMZPeoS/Lr3koRh/8oFcls3UzimgFh6p8yk/82vykZ/AnnVFbyTl8c7eXnS7VwPvUbHNSCBbJdQDtUrNumnvOoKUg8dJL28BI/SjXJ7rdEnQO7WJbKsXakrYu/Hy/6fvfOOr6JK+/j3JLkppJAQSAGSEHqXIgiitFURZLGsrq51xbL4KtW+K4qvvq6rKGthUdZe1i7KKoqFpmBBlF4TIAlJICQhpIeU8/4xd24mN3NLkpvk3sv5fj73k9yZM6fMPDPzu6c8D0FBFh566CHTc9PWKFt3H+ODvyU4c/rnagKymVhyJlbse2d0AeQo/Z53N7Ln3Y22/Xk7cm3/G/+a1d/YoxPZN5rH9u7nkUEDiYuLa5S2rVF27j72z3RHk3md8dOhIlu0bmgcA8reE7H90JS9uHE1gdmd+pmJG13UGHttjGUZvTbr9THG1wJICyqhU4CFefPmuaxDW+Dyp4SU8jHgMbN9Qohw4HtgE9DfquQB9qKN2eoMAA5Yx3T9lvDwcEpLSyn//FVeOqZ12X32nw+4asnTfN3rRrL/2ZfJa0oazcvZn9LTNnSkx7HqFZ2IBatfnE3LKTq0xyZuoN4poP7XEtGd6NQBRHXrS1S3vpSE9CQiJFGbuFxdaVv5pHsf1v3YALZ5NpaI7tpx1vk3oM0LmhQdSU3BZipjx5NZph0THx1qW7KuBxrt0yWOScnaCjFRlav1PBmWiUN9703GpuWsW72BO+Y/QmBgoIevRPNQtu4+uq2bocer0rF3Bmicu+LuCip3MXowNsMocvRVU/bCx34IKqx3f2Kt9TUTUI5Ejs7BsjL6Dh/OrT/91NTmtArKzt3HkZ3rE4ydoYduYPEXQL1QMQoIo3BxFfzSzNdNoSWm0dCRXi+j7x5jb47ufdm4NNw+/9wfdjrs8bE/zuht+XBdBa99+4XXrBJsaV/pNUCulHKm3fZPgCeFEOeijdU+BvynhWV5PSdPniQyMpJ7d2bz/EuvcMOjN7L6sKB08w/M2fwDc9B6c+zRnewB7M/OZUqvfg38x+jEdU8iOnUARYf22PzK6JG7q0uP2BzqaU73KsESxrHqSv69fTP7s3Ntzvt61+XQKzkZrJOG06u13pkStPT6cavT97E/O5fkqTNIgQa9MXpsqnW5GRzOybVNVtaXvkei9e6IqlwiYnvb6qsPtxUd2sPBnEpf8lysbN2AbusAL8jDzBI9gMbiRmfbySoScO67xhPYCxtHvTb2Qsf43b535sinqxqIMaPI0VdTgWPfPmLW7Qzc5HySpxeh7NyA0c6BBoLCbNKxfe+JJho0gWPsxdG/Q73TPTMHe65wJG6Mq6s6Gepk1rujLzk3ztHRl4wbe3rMHAMah6gkkuKOYV71TG+pwBkKTLCOxRrpBdwAvIG21PAD4O8tLMvrSUtLo0dKNx4YeS6P9pDs/vQpHr34Th5YtZ74aRMAKN38Q8ODOoQTMWioTYDoPTna8mpsk4e7Dp1GzvZVALaemojY3rb5MBasK5isIiWzrBjCtaGo/dm5HM7RPn26xDEpOpnMtQ/Tdeg0vgu0vhDCo4i31E8qjreEMqVXP5vX5crY8Q0ETrwl1DZP54JRI2zbM8uK6RUtbeKmJKQnkdAgvMSB9CMsej+TujrZ7ssIm4CydStSStLS0hqsetNFjpm40bcZJ9w2xf9NU5wCOpskHNa7fyOfOPb7jXnoPTf2OJprY/z/6O58Yvt3YmXOUd5+8EGefPJJl3X3EpSdG0hLSyMhKcVpGvuJx8bv665d2CCtMSwCuN+Dk/vDTox3S4dhZzvsQXK2dFyvl55HIoZAnIa8zXqo7MM62LZXVGMJqeNL8unevTddujRcFdaetHSS8R2AoyUBGcB/W5K/r5GWlkbHlFSOVVcSW5BGdOoAHjgsuCWqktmPPMrzL72iLRM3Ul5GN0O8kz5d4mzxn2RIIkGG1VRdh2ILgQDYhoB0SvUeGLB5QF5XXG0TTbPHT2RSdKTNZ05l7HgoyuNg8QmSw6NsE4mDYrVhJn0oS4+EPio6juRwYfN5Y1x1pUcW14/rZZGkBXRlXeY+2xBYvCWU4zmnOP/ya7jn3vv5eM4cLBbXXjy9AWXr9eTl5RESEkJMTMOHaEJoENtOVrGoIo0VCYPapi52oR6Mk36hfrip+8XTnPrFMRuqsu/VsR+Gsu+5MUZOTxjYmYd37+XUwEGseuophg8f3rwGtjHKzhuyf+c2ho2b1GCb3otj6yEx9KIYxU36suUN4lCZTRT+efEXDrdDQ9Fj9DTsLOaUmbjR6xyQtdN2rDFQqJH0Zcvpdduttv16z45ez6yNWYy+a6qtjkEhdbxclc3f//k0s2bN8prhKVDBNj1Keno6cb87hytefpF9Kz8m+5838Ny8B+CRR3m0h+S++ecSEXsjDxwWPLfwAUAbssrOzSU7N5e+3S7iyuR+Vod52sN0TUWETTBoTvsaihzAFoIhsuqgbWio1LZdi4Glh30QVQdt8aEyrGKoZ1SM1YngBnK2ryKqW5o29BXQtUHIhggqiKzLhar6kBHJ1mjpeoR0PX0pYWSUHuOX7ds5tHotIdZVYts2/8QNf57Jfffd13oXQtGqpKen07t342jiiyrq7fLSo7tMRY59sEpoXhRvs14do+CwD7FgxKwXp/rwbqfDW8ahKL0sPVxD3o5cKmtr2XGqjLTqCmqlJOJwOT9WVnH444+JjnYdgVnhnRw8nMEl16Y22m4UEWbzYKB+CMrMj40uVsx6bYxDQXqviRn68JFR6OT3bLhySa+XcVgtNGkwdYY06cuWNxJY9sNV5Vs38dzt7zD6+0zqhnTipdIETvSL4Mf9BzlYV8F9Dz/E3LlzTevZniiB40HS0tL4b36W5vIK6DbvdfrNuIz92bm83uUMzs9eRXH2fr7al4hI6ckFU6cCsPqFpQA8t2s7t7wzShMRVup7SSq04SjraqeYlIlWIRNmGyqaFF3f26Nv6xkVY5tYfKy6koiQRNtE33hLKPHRoTZBVQ0N5vXEW0IhvH7YSljDQwBEhCSCpd7nTXx0qK2um77+nCdWrGL9+vWcOnWKCRMm2IYzRowcze23O/YPpPB+0tLSTAWOPY5Ejj2tEWFcxyhuHDn+czSsZTah2Distm9LBj9MOo81a9awbds2hg4dypgxYwgN1e6Xfw8frsSNj3PgcCY9erp2QFpoiWkw18Ueo0jRl2wbYz0Ze2ccHafjKGZUh2Fn24SMUYDpQ01mgsgsb13Q6KT960W+OZzLjhkjWbphA4GbjjHBEkfKgLMZ1X8sY4OCvNa3kxI4HqK2tpZDhw7B8D7oCqffjMvYMGsuoQUbyNn+Kl/3upG5f38cmaHNw9En50aMGktZnjbRON4SClWGCbp2zvL0XhwdvRcls6yYUsJskb314SW9R2VdbgYTE1O0NBHdOZGxjgjqfezIEG3VVlDseNKsPTtY/+pxpvSVWdBwOKyXRSIrsvn+67d5/rVv2XOolHvuuYeFCxfSp08fr+qyVLQc+/k3zrj06C4WhWliyFHEcXdxFODSEUZx4kzEmKXXvxvn2oxds54fJk8gsFcMn+Tk8tqJk1x+RiH/+7//y5gxYwgPD29KcxReTmlpKcUnixjYORR3XPHZDwMZ/dg4wl7Y1PuraeyUD2iw1Nw4L8detDjz12McooL6HprcH3bS8ck3WbI1l9Hjz2TI2n/y9v99xFv5uZSldGfBny7gscceIzU11Wee6UrgeIjMzEw6d+7MEeuS52dfWK4t937oPt6dv4BerOL89FcJj4unNOMgIqUn2bm5tiXjsx95FKhfqVRKGBFWkaNj7/hPVOUSbx0qMkYd1xzvFdt6bmx1tE481kVKzvZVpJx9q60niJCebLbOydHn0/TpEqeJJOuz+xgNo5/nbN/Fw88vZe3atcTFxXHllVfy/sp7CQtrGGhT4T/s27ePiy++2O30LRU29riadGzcbj93xn7OjiPsj6mqreXhhx9mReFJDm3ZyoQJE1j10EOMHDmy2e1QeDf79++nd89UikLMppo757nb39G8+zoROfrKKb2XxhjZWxc8zlYu2USOXegGHX2Yyb5XKPT3t1JnTWvsRcramEXix//gzNpInn76ezZs2ED37t25dtb9zJ8/n+Dg4Cafh/amff0oe4DCwkKmTp1KTEwM11xzDdXVmv+ZU6dOcfPNN7dZPfbu3Uv//vVj+HNm3cqk6EjGjRzBqOg4orr1ZcOH79tWUcmMg4wbaV191CGcKb368fjIM6kp2GztXdxoN0kAACAASURBVKlo5OzPEtHdtgxcXz0VQQW9LNImbkDrBdLnxtiHWtCJiO1tEzdG9Pk0OrrQsSekZB9vPfo3rr/yKs477zy2b9/Onj17WLRokRI3rYQ32Xq/fu556LYfonIVKNOIMwFjts9RwM7YQT1tTvrcWbllDKSZtyOX3cXF/PmXX9m1axfLli0jPz+flStXKnHTSniVnbsxFKuj996kL1vuMGimHqm7fOsmW29M1sYsU+d6zjA6DzQeaxYF3D7sgr7aSw/R8Nzt7/DhWzv4/mAhU295lmseXMIll1zC3r172bFjB/fee69PihvwA4GzZMkSzjrrLI4ePUpoaChvvvkmAC+++CK33HJLm9Vj3759jR764dMuBOD6le8T3fdP/OVQw/HU1W+8Rr8Zl/Hs00s4t3YvRfvfYfenT2nhFfa/w4mMdbZeG13U6MEzdWoKNlNTsLlBvrro6WWRtmjfxp6ctUUlvF4Wz0vHqllbVMLaohIe3fId72XuI96izaXp06X+A1rvj+4sMOPwYUaNmsTuA0fZunUrs2bNolu3bh46kwpHeIOt19XVceDAAbcFjj32MakcBduE5vvMcZSnvQM/s/3GNFJKXj2cwT07dvHEq6/x/vvvM3bsWJ9Z+eereIOdg/ZMT+rbdJ8uxmXUxtVTvW671TbB2L5nxiwMg1nvTdK4JC6/dghnpUYz+q6pjF+/opGXY2OvjF4foxhKX7acddcubBBqIa/uFEurski+Yio7duzgxhtvJD4+vslt9zZ8fohKysYhTcrKyti1axezZ882OaJ12Lt3Lym9e8O2jbZt2z9dzb+3a+Lj5czMxgeVl7Fv5cf8NTeXP1yjeSROPqe+61+f7Av1wS8jrd6GwTrUVHrE5qRPH94yxrXSV1YR0tM2zAT1QT31cAz7s3N5deXnLE1M5PZpF3Jlcj/bcJWepmdUDLuzs1h4+dX8ZcHDLFiwwGfGYv0Bb7D1zMxMOnXqREREhOvENPZi7G4Pjv0SbH2bUSAZ87IXLLpQ2fPuxkbLuBMGdnboRdnYM/T+kWy+zTvOroxMEhIS3Kq3ouV4g52D9kwff94Ut9PrQz5J45K4nPqhJH0yMNT7nrEXL0bPwY7EjRF9WEsfkjKuhNJjXJnFwdK3GZevF9ZU89yhTB7/9zJuuukmt9vrC/h8D86CBQv48ccfSUhIoLKykuuuu47nn3++zWd1/7prB5171juE6jfjMgAeGHkuX23+lTmz6oOi6fNt7ImI7W1z7Gd04gf1c3P05dnHqitJrxaaLxsrpYSRXi1Ynb7PFtdqTUWETRDpw1X2/muWrvqSjVt+BaBH18QGQ1RQvxJrf0EeD94yi4umTePOO+9U4qaN8QZbtx+KdYVx6fjQK4c0iLwNDXtNjL0uxnk2+sdZRHJnk4/tj9WHsOyXfRu/f59fwJsHM1mza7cSN22MN9g5wN5dO+ndt69bafflV7Ax6kzKL7sX0OJLXX6tFgjZOCylT/C177HJ2pjFumsXkr5suUNxYy9Y9Hz1+TM/L/6Cnxd/YeutSRqXxMS3Hmm0EsvYC1RZV8uDmQf4nwf+5nfiBvygB6dTp058+eWXtu9FRUVkZ2cTExPDpEmTyMzM5Mknn+Syyy5r1XpkZ2bRLSWFY6vWs7kozxafaXNRXoPYUwDPLXyAZ19Yzl9ffhWAcSNHEN3397Zo3bbVTVW5jebIHDPElUoOj+K9TM3PzcTEFFvQS3vsI4PrHCw+wf7s+od6t8RELhp2hs3njebYTxvaWpebwd8X/i8jomNZvHhxM8+SoiV4g60fPnyY1NTGfkEcYZyDYwxW2RTMhI2zniBHEb3dyRegqraOR/bs45sfNpKS4tyLrcLzeIOdAxzOyibZzevfr3MY+/Ir6FR9gpOY99DouDPwqgsU+8nGZuEc9KEm+8nMWRuzSBy7qcFQ1Fmp0Q0mNr+bf5QzZkxn4cKGHpf9BZ8XOPYsWbKEefPmcffdd3PLLbdw3nnnMWHCBCZPntxqPimklBTmHWdAtyQ2F+Ux/eorgHrneo3oEM7ExBRunHERX23+1TzPkEQtrhOanxrjsmyg0QRi45JwgCm9+tnEiS6IAHrX5SBJZFR0XP3w1LatWjwsq0fldbkZ3L11G4DNC/JzCx+APYf48/MveE1wzNOd9rD1o0ePkpjYvLkx0HDIyB4zYWIvQsyGpRyFS3CE0eOw2ZBXelkZsQQyevRol3kpWp/2sPOKigoqKyuIjnYc8sCeccW/QLE2JPXc7e/Y5t/Y42z4yWxYSV86njh2k8178E+HijTR8taORumN/Lz4iwbxovT/dUGUZqnm4Zkz/bY33ueHqIwcO3aM8vJyevbsydatW7n00kuJi4tj6NChHDhwoNXKLS4uJshiIT684enUBcT2T1fz7Av1fg2efXqJTXT06Kr1mugThfVJxfqcG6DBpGJ9EnAvi+S9zH2NhpOm9OrHLUNH2dL0skgmRUcyKTqSCCooCelpy/vK5H5cNOwMwuMaTiazXzn16srPtX8qT9G9e/emnRxFq9Betn706NFmDdkkDOxM3JBEBlw1zmXa5kwuPro7n+3v7XDYK5MwsHODj3GbPXvTjhNcp0S8N9Bedn7s2DG6xMW7/eLvVH2CuqTBNt8ys5f+idF3TbUFstR7YvS/ei+Ks/hT9sNYOkbBYrbd3UCdPx0qIiO/2K+f6X4lcJ5++mnmz58PwODBg3nnnXc4cuQIv/zyi9uOyZrDsWPHSOiiCY1J0ZGUrfqSY6vW2/ZnlhWzdNWX9JtxGcdWrWdiYoptKGn2+IncZI3qXVqQZguoCdhiPlWXHiGy6qBtVVRowYZGdfh86zbufPcd29BYZNVB1haVkF6t3aD2S85Bm9dzZXI/Nj2wiM9eeo2nrvqTbZ8e+FMPtgkw8bKLWb9+faN8FG1Pu9q6mwJHd/CnY4zS7QizycX2GJeB6+mNQuXo7nyn83XssRc64wd1I1tWUltb63YeitahPe08zs1VRGZhGlyhix9oLEiSxiUx+q6pjZaL5/6wk6RxSZyVGq0NNVVUN1qO7kzc6McZh7KGdIj062e63wxRZWRkYLFY6Nq1KwCPP/44V1xxBffeey9PPfUUnTp1arWyjx49SnyCVm56tbANF/WMiiG0YAPTr6sf39xsEBE6oiqXnO2rKDq0B9Aihxs9GOu+b/TvoPXw6AEu+3SJ43COFs+qR9eGLwYtunck1aVHsACRaL1EOdtXUWONSN47oju9ohNtPTsTE1PoZalfyZA9ZxowjXsWPkVAwFCPnDNF82lvW3dH4PwweQJTxrbMdUDckESbUHE058ZeCOmxrux7ivSwC8aYUo7yDhQCCQQE+NXvP5+jve08Ls79ZdJ6FPFDf50DNO590YelXK2OGn3XVIf7jL1A+lDV/FtG0Ou2+gUs+iTmXrdpK6scxcM6KzWanw4VESiEX9u5MFuS520IIaQ313PO7FkE1JUzsGQVVfd+wedbt3HRsDNsPTO6PxzQVlf16JrI4Zxc23Lsmv2v2FZPGb0LgyZobJ6G0Xpm9FVRj27R3HHrvmp6RsUwKTqSmoLN1qCZ2gqA4uz9gBZnqjh7P0WH9pB3RDP8uO71in/7lh0MHTmEvCNZ9D33AlLO1m6cExnriEmZyOTL57LwnnuZNm1aK5zF1kMIgZTS6weZvd3Os7KyOOOMM0hPT28USdzIioRBpoLE1bJsMxyJEFd5DbhqXKPgmaCFbHDk2Vhn9W+H+aAsn12nypzWzRtRtu4Z/nTt9aSkpjLvrnscptmXX0G/zmG2sAjlWzeZRgE3w8xTsR6l24ixB8foxE+PQg40EDhQH9Ec4NBf59DrtlsbLCPX6wgwLy+Nf69cxdixY53W19tw1879pgenvcjPz+f1t95jy49reezP7/Fo5UYmTr2aXhZJerVo0BOio/e2HDieR0RycqM4JxmbltvEhT0yJJHNRXmsTt/HlF79bL5uTmSsI/ObT9kORKcOAOqFjU5x9n6b6NEFzvYtO0iIj+bosSKy88tJsIob0ISNLrxKa6LYuXUbI0aMaO6pUvg4ixcvZubMmQ7FzYqEQTa/N46GiJrrvM8eZ0NZeu9NRdpeU5FjDN+gLxc31ndXdTm9HHgAV/g/GRkZrF71OZt+0xZadKo+0SB4pb5tXPFOyjdsAoOPm9F3aWEajCugoHFYBlc9OTpGUWPMS88ncexgW6+NGXoddBFkzK+4pobDJ0sZMmSIW3XxRZTAaSHPPPMMMy65mG6x8MHYm3htyXfccXMfHh95JpllxawrPkG/GZeRnas9kD+46S+ANnSkrXLSBJA+90bvZdn29nyiUwfQdeg029CSvrJKn7x8sPgEk6IjAc1vTnTqANvxQKOeIJ2I2N4UHdrDF6t/olvnDgAkxEcz/vI/2uqgU1qQRsek8dxz/3wu+N3vlE+Q05S8vDzefPNNdu2qjxB+6dFdjdLpTv30ScXgXswoaHowTWd5uWL7ezsYemXjB3tGTSVflZ/g5z2N26Y4PXjyySe5+vobiI6OMZ1fYwyoCTgUGPZxooAGIsd+OzTsmdG9HuvYT1QG88jgxnhUekDO0N9rAifXGp+qVkr+nXeEq66/wW2nnb6IEjgtZM2aNVw0exb37sy2xZnan51LUeQ7DAee2xvB7dMutK12ireEEll1kJTaI1jqulNdcITi7P1s+PB9ps99gIjY3sSkTCTlbM2pXxAVYJh3k1mWx5XJ/YhITublzEyr1+IIDpbFc9Okhyja/w4AyZMe4qXMTCDTOnSVaBvusqB5TL7z4ju1fAs0Z2y23pqCeudsQbGjuOK6+ZSU1/HBBx+0/glVeCU//fQTo0aN4sWe53JGxxDTISi998ZsOMnoOdg+AKaexgxXno/NhI0+38aeirS97Hl3oy1f+7k4myqLec1SydI3Xmt2KAqF77NmzRqeeeElm7ix770ptMTQKWkwHaCByNHFiL2vGR3778Y0xn369lwTb8SOVlbpddAFjz7/5qdDRZy1MQsWf2Gb2HyisopZH31H/DljeeKJJ9w9LT6JEjgtJC4uju/37eGLVzdAh3Bm338/twwdxePbN/NoD8nHM0YBcN+WX+jTJY7JYaWcyFjXYPho/3dfMX3uAwT1nUlGdSXrcjNYuupLbp92oTbh19pzQ3WlzbfN2qKSBsu5DxzPIz0xhd4pE4lJmUiJdRIyaHNz9OjkoPUExaRMtPXuBMWO59Et3/HVml+ty9bH2eYG3fvXR+jYqSuf/Pd1nw24pmg5cXFxFBYW2r6PXVO/8sI+oCY0Fiz23ovthYk7c3GaEqhTFzkVaXsblGkf+gE0sfPL9mxeDarg66++Zvjw4W6Xo/A/4uLiYM8GAiKHkd/z3Ab7Oh/8jvKtmzhk1ztj7GmxnxujiyD7HhlHgidpXJLDnh778hJpGH/KOA9Ix94J4MPfb2PMdVezdOlSv/dppgROC0lMTGRXYSGUaxMSX135OV9t/pX927bywLJXG6Q9cDwP4rsREdvbJnCKDu3hzKvu4Le46dz5wjNk5+YybuQI9m/byufWFVHrrMfuz87lomFnNPJ9A9pE4951OZSE9LROPs62bTdDFzelhPFe5j5bnfWhtJ5RMQQdrOKr9TvYtWuXEjenOYmJieTm5jJlrPOludtOVtHcQUyzISpXq6ic4aqXSC+vTko+GNiVh66Yq8SNgsTERDK2/ASjh5nu14eeOhhiR9mLHfuJv3r6REMaM5z5xzGGYDBiH1wTsImky68dQupjz1L5Xy1y+Btp2RxI6sDHS5b4vbgBH1pF1d51UPg0GVLKHu1dCVcoO1d4AGXritMBt+zcJwSOpxBC/CKlPLO96+EJ/Kkt4H/taU/87Vz6U3v8qS3egD+dT39qC3hHe/zXw49CoVAoFIrTFiVwFAqFQqFQ+B2nm8BZ7jqJz+BPbQH/a0974m/n0p/a409t8Qb86Xz6U1vAC9pzWs3BUSgUCoVCcXpwuvXgKBQKhUKhOA1QAkehUCgUCoXfoQSOQqFQKBQKv8PnBY4Q4gYhxGEhRKkQYr0Qop91+91CiCPW7euEEP0Nx0wRQhwQQpQJId4XQkRatwcIIf4jhCgQQtzZDm25QwiRK4QoFkJ8JoRIdFZfb26Li/aYXjNvb0974k92bq2D39i6snPP4k+27k927qI93mnrUkqf/QB9gFJgKhAG3A/8BpwF5AKpQAjwD2CN9ZgYoBC4xPr/B8A/rfumAAuBDsBnQEQbtmUwUGCtewTwDvCmi/p6ZVtctMf0mnl7e5SdK1tXdq5s/XS1c1+1dV/vwZkMrJVSfiGlrAAWA2cA0vrRY20Fop1kgBnAr1LKT6SUJ4DHgaus+4Q1bZD1/7ZcYjYe+ExK+ZOUshR4Gxjkor7e2hZw3B7TayaE6IR3t6c98Sc7B/+ydWXnnsWfbN2f7Bx80dbbUgG2gqKMB3oYvo9BU5JBwAvU3xTlQF9rmqeAJw3HhFjTRKAN2b2HplLntnFbLECw9f9YNHX8vIv6emVbXLTH2TXz2va058ef7NyFbficrSs7V7beDNvwOTt30R6vtXWfjiYupTym/y+E+APaDXAfMAG4FBgBHACeQFObo4AoIMOQR5UQogaIkpoqvbLNGmBASlkNIIS4Bc1BUiVwPnADDuqLl7bFWhfT9ji6ZlLKGiGE17anPfEnO7fWxW9sXdm5Z/EnW/cnO7fWxeds3deHqBBCdBZCfAo8A9wkpXwebbzvTSnlb9aTeB9wprXLrAhtnFA/PhhNaZ5o+9o3Rkr5b7QxyXuBT9CUsKP6enVboHF7hBAWB9cMfKA97YW/2Tn4l60rO/cc/mbr/mTn4Fu27tMCRwgRDnyP1sXVX0q50rqr3C5pDVALVAB70SZL6QwADkht7LDdEEL8TQhxLYC1LsuATsARHNfXK9sCTtsTh/k1Ay9uT3viT3YO/mXrys49iz/Zuj/ZOfiorbf2uF1rfoBb0SY32W8/FziK1p0Zhtad+ZmsHzsstKaJAT4HFnlJW3YCPYFQtJno25zV11vb4qI9ptfM29vjBeey0TnzRTt3YRs+Z+vKzlvlfDY6b75o6/5k5y7a47W23u4nrYUn/HmgDk3NGz8pwI1AGnASWAnEG477PXAIravwVSDEC9oSBCyx3sQngS+A3q7q641tcdYeZ9fMm9vTzufSb+zcmW24qrM3tkfZucfPp9/Yuj/ZubP2eLOtq2CbCoVCoVAo/A6fnoOjUCgUCoVCYYYSOAqFQqFQKPwOJXAUCoVCoVD4HUrgKBQKhUKh8Dt81pOxECIB+DNKpCk0KoEXpZRl7V0RTyKEEMAVaKsVFAqA9VLKje1dCU8jhEgBrkaLS6RQlADLpZRVzc3AJ1dRndfPIn/JrGFw10CCAxvfC50jHGueTpHBptujo8MdHtMxtrPDfeFx3Uy3h3Xq6vCY0MgE0+1BobEOj5GWGNPtlZi3B6Coptrhvvwqe79ZGscqHOuD3JMnTbfnFDp2Snn8hPm+QgfbASodlANAcZGD7SWQXwQl5SlSykzHGfgOQojgAURUBQdA30DH9tmjg8VlXtHdI53u75hibl86kUnxTvcHJ5jfBzqBcUlO9wPURTi+zwDKRKjT/UVVNU735xa7fk5mFTn3P3bwuHP9XFBgfl/pFOeXON1feuyw0/0AVRk/ImJSqc36wW+EwMUiQW6kkAmWGEKEe79Z+8Q5vifsie3v+NlqT0zfZLfShaT2cztPGetengAlTu51e3JKTrmdNq3A/d9+O484eQbbcSzHuU0bKco66HbayuPpyOJsZNmxBGkIB9EUfK4HZ0yPILn/eB1jU4NI7Gh+IyTFBDo8vlvnENPtCfERDo+J697F4b7o1F6m26O69XV4TESs+Y9xS0R3h8fIkETT7aX1XrAbcay60uG+zLJi0+0Hix0Lj/Djeabb67JzHR5TmWO+rzjX8TEiz7Ety+MOTDYyDKLCIS0rQwztg9x+wKcf/kKILl0JyYvGwvmWGLSOHHPOCDW3aSMJcc7FQ1xvc/vSiR3U0+n+sN79ne639BjodD9ATSfnL4GTAY7vUYCjZY4FPcD+fNcP+Mijzh/WlRnOPczXZTl/MdRkFTjdX1Xn+lrWBHWkNmsTgZ37y7qCfcHSGiPIV5kgYuV+yphKHP2DHD/P7DkrKtrttEmpzgW4kcQzB7iVrsOws93Osy5psOtEVgod/Jg1Y1+++w6Bw444+HFoQv4e82e9GRXh+W6nLT/l2r51qgMiqOvQhdqczUct/WZQvW9lk5/pPjO8I4QIGJAQKLNO1DG+VyARIT79/lK0BpHhMLAnHM5F9En2va5JK1eIrjIWS94wOjKUKKfiRnH6IQICCUw+B0KiEBGJp4QQztWrlyKECBoiomQOVVxEHOG+93tb0coERHYlqMckarN+IKjHpCY/031C4AghIrt2FLUAY1MDsZgMSykUAIQEw+BecLIE0a2LFEL41FNzioiT6yjgPLqQ5KR3TnF6I4QgMG4wAXGDIazTcUv/S3xK0AshOnUntDqcQCYTS5BvvIoU7YAIiSKw9xTqTqQTmDBMCuHmGCY+IHCEEKkxHURx9+gABicGql+zCtcEBkDfFLBYIDqy2hpx2KsRQojRIlruoYTpxBON63k1CkVAVHeCUiZSk/k9Qam/8wmRI4QY2JnggsFEMoyOCDWnWOECERhMYOpkkHWIjsm1Qgjn49VWvF7gANdHhEBStLoJFE1ACOjaBWprAc5v7+q4QacdlDCWToT4xG2p8BZEaEcC4wZTe2xre1fFXW6NI5hk1UOpaAJCBBAQPxRZVQIwzp1jfOFJ+kh4sOCHQ7VU1/rEDxSFN1B1CnamQ3wsUsr32rs6rpBSFkwnnm85ThbuTxxUnN5IKanN20ldwX6oKIxr7/q4yd0BCNZQQA117V0XhY8gq4qpTVtNYPxQpJSr3TnG6wWOlLJuz9FakRQTwIb0WkqrlMhRuKCkDHYfhB6JyAOZPtP194HMEQVUx23lJNspRqJsXeEYWVdLbdb3UFWMLM0NkVIeb+86uYOUsnqHLBZdCeFz8ijD+fJ+haKuJIeaQ2sJTBpLzeF1bj/TvV7g6Px4uEYM7x7AD4dqyCtRql/hgLxCOJgNZZU9fHGpuJTyeA5VISeoZj0F1CqRozBBVpdTm74aEdaZuoJ9AVJK9x2ieAnrZYEYRTRfkEcezfblpvBzavP3UHd0K1QWJjZ1qbjPCByAb/fViJOVdN11tI70/Nr2ro7Cm5ASDuVAwUkoKY+UUma0d5Wai5Ty1F5KAzoTzOcco1SqX7iKemR5PjXpXxOQMIzaIz8I6YveWq2slEdFAdWpGylkP6XtXR2FF6H1UG5CluUjy46FSimPNjUPn/RkLIQITY4RFadqIcRkEXCYxbHICzM7AAgNcbxqJSTM8WQ4S7i5h1hLqGPPsYEh5p4qAwKdTLpzsK/GiUatrHPc01VRa+4brKzasc+w0irzX1kllY4dCpZXmO+rqHQ8z6TWQTkAONpXXgExkZB1LFBK6TddfNNFvNwsiogVju2zo8X175TQKOcOtkKinHsJDo5y7l01MMK5p2TRwfl+ABncwen+ahd+UiprnV/20irXP4qKq5z7zCsqd76/wsX+qgrnHS3VZa48yEpqy04gK/J7SynTXST2GYQQET0IKwkKgGA3f3d3Cnd/pWFYrHPbMhIaG+VWuqCO7ntHlmHu5QlwKsD9dpWecv+HfmGF+/4gj7vh9VunrNT9zsMqJ45k7akuOU5ATE/qcjYHNFfE+6TAAVuMniSa3gv1J+Adz9eoXctS5UCVlNKxe2QfRgjREfgf2s5uHdGW9443lu8tdZgmpfxXO9fB41j9m9wDvNsK2bfWdVP5tl6+FcDFUsrlzc3AZwVOcxFC/CKlPNOfylLl+D/ecE7auw7tXb6qQ+vTWm1T+Z6e+frUHByFQqFQKBQKd1ACR6FQKBQKhd9xOgqcZo/neXFZqhz/xxvOSXvXob3LB1WH1qa12qbyPQ3zPe3m4CgUCoVCofB/TsceHIVCoVAoFH7OaSNwhBA3CCEOCyFKhRDrhRD9rNuFEOJpIcRJIUSOEGKWh8r7TggxxvDd4+UIIaYIIQ4IIcqEEO8LIVw7G2l6GbZ2tFIbGl2X1romvooQYpAQokoIkWDYdo8QIt/6ebgVy27T+8ZBHVrdzh2U6zW2aW8DbXX92xqT52YvIcQpIUSl4TOphXl69BpabcNYv1dakFer2Lon62jNr1XeC3b5tvjaI6X0+w/QBygFpgJhwP3Ab9Z9NwHbgW7AECAfGN6CsqYALwASGGPY7ulyYoBC4BLr/x8A//TgOWvUjlZog+l18XQ5vvwBAoFN1uuQYN32O+AIMABIAdKAS1qh7Da7b5zUoVXt3Bds094G2ur6t+XHyXPzAuBtD+fp6edYFhDigXPQarbuwTq2ynvBQb7Nvvb653TpwZkMrJVSfiGlrAAWA2cIIToB1wJPSCmzpZQ70JwVXdmCss4BgqCR33FPlzMD+FVK+YmU8gTwOHBVC/Kzx6wdnm6D6XVphXJ8mQXAj3bbrgVekFLukVpIimV49trrtOV944jWtnNHeJNt2ttAW13/tsTRczMVTcB5Mk+PXUMhRChQI6X0RDCtVrF1D9extd4LZvm25NoDp88Q1SfAbMP3kUA5UAwMRftlprML6N3cgqSUC6WUNwMFdrs8Wo5JfjuBeCFERAvytOGgHZ5ug6Pr4ulyfBIhRF/gRmCh3a62Oj9tdt84oVXt3AleYZsObMDv7g8nz81UYKoQ4ogQIlMIcZ8H8vTk+esBBAshfhVCFAohVhiHkptIa9m6x+rYWu8FB/k2+9rrnBYCR0p5TEp5GEAI8Qfgv8B9UsoaIAowBoApsW7zNJ4up0F+VnWut6e18GgbHF0XT5fjiwjNbf3LwFwpZZndr0f4NAAAIABJREFU7jY5P95437SRnXuFbTqxgdPp/pDAt8Bg4CJglhDimhbm6cnzFwPsRuvF6GHN901P1MuDtu7JOprRWvbY4mvvVwJHCPFXIUSNyedlIURnIcSnwDPATVLK562HFaGNset0AJxGBHNWjpPDmlyOCxrkJ4QIRuvia0meTSqTlrcBB9fF4+V4K45sCagG0qWUX5sc5tHz01b3TTNpDzvXy2pv27wdcxvwyfujOc9NKeX91k+RdfjjeWB6S/LEg8984GYp5flSyt1SymLgLmCyEMJJ5GT36uUpW5dS/uDBOprRKvbo6tq7g18JHCnlY1LKIPsPMAf4Hq37q7+UcqXhsL1oClFnILCtOeVIKW9ycliTy3GBfX4DgAPW+QKthUfbIIQIx/y6ePpceS1ObPYT4E/66gFr8sNCiN/j4fPTVvdNM2kPO/cW25yIiQ2gdf/73P3RnOemVVh0NmyyALberLZ6Fju5Rz4SQpxnV78awP0Q247r5RFbF0JM82AdzWiVe8LVtXcL6eHZ8N74AW5FmzBotm8WsBHoBJwF5AF9PFDmYRrO3PdoOUAs2oz7c9G6ID8HFrXCubO1oxXaYHpdWuua+PKHhquoLgQOoK1a6AccAia2Qpltft+YlNMmdu5u29vTNqlfRdUm1789PibPzW/QJlFHoa3QyQLOb2GeHruGaMM+aUB/ax3foPmrvlrF1j1ZR7Nz6uHzacy35de+vQy5LT9oXVt1aKrV+ElBW4K5FG3cMAu42kNl2t9UHi8H+L314VYKvIoHlgG6MDiPtsHFdfH4NfHlDwaBY/2+0PowzAMWtFKZbX7fOKhHq9t5E9veLrZJQ5Hb6te/PT4mz81kYLX12h8AbvNAnp5+jj1ivQ7HgbeBmBbk1Sq27sk62p9TT55Pu3xbfO1VqAaFQqFQKBR+h1/NwVEoFAqFQqEAJXAUCoVCoVD4IUrgKBQKhUKh8DuUwFEoFAqFQuF3KIGjUCgUCoXC71ACR6FQKBQKhd+hBI5CoVAoFAq/QwkchUKhUCgUfocSOAqFQqFQKPwOJXAUCoVCoVD4HUrgKBQKhUKh8DuUwFEoFAqFQuF3KIGjUCgUCoXC71ACR6FQKBQKhd/hcwJHCDFXCHGl3bYeQohK6/+3CCGu9XCZNwghDgshSoUQ64UQ/TyZv7WMCUKInW6mlUKIBE/XobXwtfp6A2Z2brffo3YuhJgohNjrqfyaUK7t3m2FvNu8Ta7KVPdCY3RbF0J8JISoEEL0ao3neBPr1C73Q0tR9tUQnxI4Qogo4HrgQyfJ3gDmCSHC3MjvcSFEnRCiv5M0fYClwG1AF+BL4N0mVdwNpJTrpZSDTcoP9HRZnsbTdfSFNrcm7WHnvoQ32Yc31cUXsbP1y4BhUsp03LRvf7PttsYb7Lc16+BTAge4BfhESllrVfjHhBAFaOIDACllFbAWmOksI+uNcz3wKjDHSdLJwFop5RdSygpgMXCGEOIyIcRuIcRSIUSZEOInIcQMIcQOIcRxIcTdTsq+SQiRIYQoF0L8IIQYavzFYP1/sxDiZeBXu2P1Xp4jQoh467bfCSG2W3uY3hdCdLLm4bJ+1nTbhBBLhBAlQogtQoihhvIa5e2ojg7a1aC+9r+M9O8O8jMt+zTAaOem56AV7BwgSAjxvBCi0GoHw6x5TLHazUkhxGdCiCTrdtNrafj/ZyHEM1Z72yuEGG3dZ3rvWvc1siFDfjb7EEK8K4R41HDcrUKIDS7OhZl9OsynKbZvR4AQ4l/W++6QEOJs63GN7l2FZuvAPuv3XUKIXu7Yd1NsWwgx3WqDxUKID4UQHazbTW3b7lhnzyx3n7Gm94JdOd8JIW6w/j/baqcW6/evhBAzrP87ukfsn7VNtl8hxCYhxHzD93lCiM9clOvwHeLi2eHsHvIMUkqf+QCbgHFAb6AIOAeIBv4LVBrSTQW+cpHXLcDbQHdrXjEO0sUDPQzfxwClwHmABO4AIoCfgEygJzAAOAV0NMkvCigHzgCC0QTTR8BEYK81zUSgDrgdsJjkIYEE6//dgWPA2dZz8TraDT/RnfoZ0s0FLMBdwG408Wuat1kdHbXLpL62dhq/m+TnsGx//xjs3Ok58LCd63ZwJ9AB+Kv1uqQAJ9CEfhTwf8D3zq6lXX73AKFWe1iLk3vXhQ3Z28eVwG+Gsj8B5pu0aa+zvB3l0xTbd3Ae7wHCrOfrG7N7V33qbd3s3Liy7ybYdg+gABiJ9ixcA/zNXdt2ZOc0/Rnb4F4wqefDwDLr/28DZcBoINBaz47O7hHjOWyB/c63s9c1wHXOysXxO8TV+XX4jvOYfbW3gTfhRggAqq0X62/AS4Z9o2gocLoBpS7y2079jfU+cLcbdfgDcNxq0BOtF09Y9y0HnjakzQf6muQRCgyyticZeBxYR+Mb6qiTehgFw73AUrub+YS79bOmKzCkCwBOor2ITPM2q6OjdpnU19ZO43eT/ByW7c8fOzt3eg48aefW859j+G4BSoAHgDfstpehPURNr6Xh/zyDXU0E0nBy77qwIXv7iAQqga5oD9wSIMWkTXud5e0on6bYvkmZJw3tHgekmd27p/vHaOtm58aVfTfBtu+j4Q+DAcD51u0ubduRndO0Z2yje8GknhOwim1gP9rUiLnACOBnV/eI8Ry2wH6TrPdDJBBjvR+inJWL43eIq2eHw3ecpz6+NEQVS/2J646mlHVy7NIWAuFCG99thBBiMiCllButm54F7hAOxgKFEJ2FEJ8CzwA3SSmft+7Kk9Yrh6ZGi+0OdXR+7wcy0MaZBzlIU+Rguz0pwK1CiEqhTdbci2acoU2o3xE9nZSyDs1Y4xzlLYQIdVBHd9plj/EcGfNzVba/YrRzV+fAo3YO5Or/SCmr0cT8ODRhYtx+Es0+7LG390KD/VUCQbi+d53ZkM0+pJQlwLfANLQXw34pZYaDdjnM20k+TbV9I0cN7a61tlvRGKOtm+HQvpto28nAQf2LlHKPlPJrtGvsrm0bMdq5u89Ys3vBnh+AnkKIVDQh8AVaD8w5aDaq485ztln2K6XMAraiCcBpaL05epuclWv2Dvkdzs+vu++4ZuNLAkc3CIHW9ZZs2Jdsl7bO7q89c9DUMQBSyu/R1Pal9gmFEOHA92gXrL+UcqVht7RP7wbXoanpVCnlRODzZuRhJA/tV0OolDIUrRvzLLSbyN362cadhRAhaAr7qKO8pZRmq17cbVcdDe3O0cOkKWX7E0Y7d3UOPGbnVhL1f4QQwWjDs1lookTf3hHojCZS3L2WRpzdu029Nz4BLrJ+VrhI6yxvs3xaYn/NeS6cjhht3Qxn9t0U2y5As2WtMCHGCm2F1nEc27Z9PRzZuceutZTyFNow12y0obuNaFMizkEbKgL375GW2O+HaPfCxcB7bpZr9g5x9uxoE3xJ4BxHe2nHoI2d/8FqqPqQlZFOQIWUstQ+E6s6Ho82xmnkOWCeSbnXALlSyplm+TWDILQx1VDrRKz/Qeu6c3STm1GLZiignYurhBADrGLsKTSl3RRihBA3W9X9g2jdpwebmLdpu4QQwq6+R4BkIUQX66+tGxzk54l2+SL2du7sHHjSzgEShRC3WR9QdwO/oL1ErhBCnC2EiAAWAauklEW4fy2NOLt3ndmQGZ8Ck4DfW/N1hrO8zfJpLfsz3gunO0ZbN8PUvpth2x8DfxRCDBFCxAJL0Hq4P8KxbRtpjp03lzXATcAmKeUJtB6hSWg/ssH1PaLbV0vs90O03ptz0ebIuVNuo3eItUx3zm+r4TMCR0pZA/wMDJFS7kCbDPkh2uz71XbJB6N195lxBxAO7BNCHNE/wN+BcUKIM+3SDwUmCCFqjB+0LsDm8CZaN10esMzajr64P6QDsBLYIoToYj0X9wGfWfNMQTO+ppCO9sDQuxX/CNDEvB2163a7+h5EG7/9Ee3Xyi9mmXmoXT6HiZ07OweetHOALWgPtSK0X8K3Sim3of1afhPthTRAr4O719Kufc7uXWc2ZJZXHrADKJdS7nFRtMO8zfJpRfuz3QvWZ8kED+Tpkxht3UESR/bdJNuWUv6GNmn+c7S5LT8Crzizbbvjm2znLeBbtDkvm6zfvwN2S20FL7i+R1ai3cdHaab9SikPo/W+fC+lLHOz3EbvEHfPb2uiTwryCYQQd6GtTFroIt3f0cYElzpLp9CW6wEvSCmVHwkvQdm5+wghXgQOSin/4Q35KJqGM1tX9u0bePM7xGd6cKy8BEwXQjictCc0vwEXoi2VVih8EWXnLhBCBAvNl8xFaL8Q2zUfRbMxtfXT3b4VnsGnBI517O5F4Conya5BU5PlbVMrhcKzKDt3i9HAIbQl5/YrsdojH0UzcGLrp7t9KzyATw1RKRQKhUKhULiDT/XgKBQKhUKhULiDEjgKhUKhUCj8DiVwFAqFQqFQ+B0+4UK8R0KUzDhW0t7VUPguGVLKHu1dCVckx3aUWYX2nt4ViibhE7beLSlZ5hzJau9qKHwXt+zcJyYZCyFk6bvTCeucQkW+Fm6m9JgttAgVnc9k5OzPyM/Px7HTU8XpihACKaXXG4YQQhb+614Kdh0kb8fRRvvjhiSwsCCQyZMnc8stt7RDDRXeji/Z+vYczaFtQrgFgI51pQQVZlJ9eDfb0zO5atFzHPjuc6oP725xeZYeAxt81/O0326Gs/LdOd4RNZ3sIwxpBBVmNkijfzdLb0zrKG+zNI7KdoajsjyNO3ULiYl3y859ogfHFZ9sPMiIESOUuFH4DXFDEhqJnNJT1axdu4EFCxa0U60UCs+xP7+Mvp3DOVpWbRM5Op9+v4XhfTRn8ZYeA5ssctwVHtWHd7tM66z8logfdwSDWRr7bcY26P+7ytteRLW0nt6Kz8zBCeucgojpTVjnhhESIuJ78uHGbO655552qplC4VliB/UENJFjZG9QIIMHD2bUqFHtUS2FolUxvkg/Xv8z98y7w/a9KT0l7qQ1pnFHPFl6DGxRHZwJJP3jiqDCzAbnyHic2f/uikL7fO33tTWeLNNnenDk4JmI8hw4kdZo36EjefTv73VeohWKJtPxgssAKNi1uNG+w/lF9OvXr62rpFC0Cn07hzf4bhyOOXw0n/69erjMoyJtL2G965/9TRUh7vTgNAczceFKcDRnKK4ibS9Ag3PgKM/m9ii11jlyRHOGzxzhMwIHoK5DVwJiehMGDebjREcEU1hYSFJSkvMMFAovR8T3AiDpkqmUH9hH7KCeFOzS5pt1LClnW2Fhe1ZPofA4CeEW2/wb0F7E0REdOLZzCxFnnQs4fvm7K24czUkxHmM/36U5PQm64LCvm6u0ztLbp3OUxll5ZuemKYLKPq2jc92UuU1tgc8InIByqxf1mN7YZtrkZ1BTW0dpRTUnTpxo8zotW7aMb775htmzZzNx4kQApJRqLpCi2chj6Yj4XlhSB9ExVQ8w/zEFuw5SXFFFUUltm9cpMzOT+fPn069fPxYtWkRwcLBWV2XrihagCxvqqhqIicqqKqpOVVNUWtakF6vZy9WsN8BRD4GUkn+89V+2/LaV+XfcxqiRIwgqzGxg52bzcRwJEHeEiSuakoczcWU/T6cluDsxuzkix5O9N+BDc3BKjuys/xLTG6zzcXbkhxLSMZGzzz67zepSXV3Nww8/zOInn2DsqGFMmzaNiooKfv31V5KSkvj222/brC4K/+LFpctsIkfvzenQpx+xg3qyck8Gf/7zn9u0Ptu3b2fixIkM7JPK119/zZIlS6ipqWHmzJlMmzatTeui8C9CKwoAGvSa1HRK5ttNm+mRnMSwiefb5r7Yz4GxfxG6k8YZlZWV3LtwEf957wPOGDyIGVdcTV1dHev25tDt7Iv4ZXvLV3J5koJdB20fMyrS9jYSR/bzcszSOMLs/NrTXOGkX3dPixvwIYEz4+63KSxq7Avn2IkKkpKSbL8qW5tNmzYxbNgwNmz4jleWP8+u3Xs4//zzCQsL49lnn6Vr167cf//9/Pzzzxw6dKhN6qTwHx588zM+Xr3W9t0oco5XQa9evdqkHqWlpcybN4/zzzuPe+fdwaTx5/Drr78yY8YM0tLSWLFiBQcOHOD1119ny5YtVFVVtUm9FP7DH6+bSWWW9oI1vtxyKyA1uRuBgYENXn72L0JnL0Z3X5YnAyJYuf5nho6dyP6MbJ58bhnbdu7iogsvICAggCXP/4uk7t24758v8fO2XWTmNHbfYDY0ZC8+HIkR4zZ7seFIfNjnYxQ79vvM8tQ/Yb37uxxGaw7uTMhuTVFjxGMCRwjxnRBijOH7FCHEASFEmRDifSFEpHV7gBDiP0KIAiHEne7mP3LcBZx7zSPkBA8HQB78EoBPfs5jwoQJnmpGA7Kysvjyyy+ZMmUKY8aMYerUqVxxxRUsvG8Bq1a8zc2z5rB1xx6mT5/Ogw8+yNq1axk/fjx9+/bljjvuYNSoUTz33HOtUjdF+9Gatr569WrmPfYc/3r9XURELPJYOgC7D2dz8uTJVplkXFtby/r163n88ccZMmQI06ZNY/DgwRQdP8auzRsJDAxkysVXMGfOHLZs2cJ9991HZWUljz/+OC+88ALXXnst48eP5+jRxg9/he/S2s/0rjHhTLp+Dkdlw8nGn/z3c8ZNnNykl5+ZADLjUEYGX379LeOnXco5F17M5RdPZ/7s/+HvTy7mtbfe4do/Xk7WkSOMP+ds/rboEbb8tpWpF5xPx6go5ix6gjNnXMs7vzb+4aqLBf3T/eJpttWQoK2MNH6HeqFiL3Lse1aM6Rz12Njna0xrlmdThY2rVVnO9jkSqG1Bix39CSGmAJcCfwHGSil/FELEAOnATGA9sBzIllLOs6YfDTwFvA9cJaUsdVGGrK6uxmKxcN9tV/DYzWcjraupln26g7c2n2LTpk0enQ/w2WefMXPmTIYPH050GNx83aUUFp7kd+PPIjZYq+5Ha/dyxU130zUxgT9efimXXTydUWeOwFKpzRfK2Pcr0//8AH+Zez9z584FtHHeEydOEBAQQHR0tK08KSWHDx+muLiYkpISysvLqamp4eTJkwQEBPDzzz+zdetWFixYwEUXXeSxdp4OeMr5WWvbuhBCSil55JFHePDBByn78iWqDh4AoLZbMsNueoC3PvjYNt/LExQVFXH11VeTkZFBjx49mNKrEz2GDKdTdBRnjxgKwKlT1fQ+7wqyc3KZfuEF/OGSGcyYdiExMdHIY+lIKXnkuZd547/fsHv3bkJDQwGoqqqioKCAxMTEBvdmUVERubm5lJSUUFpaSlVVFbW1tRw8eJAuXbrw0UcfERISwttvv+2xdp4ueMLW2+qZnp+ZTufkXjz6+BPcetvtgObs7/HFS9j002ZWfvAft+obVJjp1kvz/Y9WMP/evzHsjCFEd0ngwsuvpujECcZNnEx4RCQJ4RY+fv1FZs1ZQEpyElf+4VIunTGd4WcMtdnvgZ/X8/ub5/G3qy/i2gvOAbRnd0FxKcFBQUSFh9nKq6ur49DR45SWV5J/YD8Vp6qpqaujqKyS0OAg1v64k30FJ5k9ehBndY8DcCiCjOTtyCVuSKJb58YsT2i6wNFp6rya1hIzbeno7xxrPkaDngH8KqX8BEAI8TjwOTAPEECg9RgBuKWwgoKCOPPMMwkO79Rg+19+P5iln33EF1984bE5AVlZWVx//fX8960ljBk5pME+22RnICVJM7Jbrr2YhXfeTG2H7gDUduiOJf9nUiNKeWLu7/njvXezePFipJQcP36csLAwgoKCWL58OZddpi0Lfu+99/jTn/7E0KFDiYiIoK6ujh9//BGA4OBgQkJCGDlyJL/88osSOO1Hm9j6BRdcwIMPPkhNbf2E4sDsTB7686UsWrSINWvWEBDgmc7X2bNnkxAexIqP/g1H9tm2W1IHUX1oFwDBqYNI7t6d7JxcPn3+EduwGWhDaNU/ruT+34/lw5WrSE1NxWKxUFpaSmlpKR06dGDy5Mm89tprREVFUVlZyeDBg6mqqqJHjx5ERESwbt26BnV64YUXmDVrlhI47Ueb2HlERDg9U3s0EL8nAyJYMOd2/j38LH78eTNjRjv2+WScmOxK5OzavYc773+AL1Z8QMoZZwFwtKy6UbrOKX0BmHv7LG6/9eZG+/uMnsCieX/hfxY+zqLXP6VOSo4XFBIeGkJwUBAv338r0y6/EoClzz7HnGfeYGivZMLDQig7Wcz2rGMAdAyxEBoURHxEGHvzi2wCx1EPTd6OXIdtaw6uVl2Z4S0ro5pCiwWOlHIhgBDiPMPmocBvhu87gXghRATwFXAjcAj4XyllmbtlJSQkEBOfwqc7Jelbj7Dg2okEAv+861Kuu/FGvvjiC0aMGNHSJrFx40YmjB3WQNwElOdQ16GrzQ/PqfizWbDo/0hOTmbNd5u5b86NWMqPUNuhO4HlR+BEGvJEGlMHBbP/9Wuoqa1DdOxBLEfpEGph895jXDX7Fu68806SkpLYu/0n3rnzTP449Swq8jMor6pl9MEO/OG623jqqadISEggJyeHjh07trh9iubRVrZeXV3NwIEDKe9/Lve89CmPXHU+CZ068qfUXry++ntuv/12li5d6hGRs2HDBla//BQWSxAYRI2OJXUQKzfvIztXe8B+/8tWzr2oXuCc+nEl5Qc0YbRqzhWciu9OQLdehIeFEVV0hOqaWu5a9g7dunVj4MCB5B5OZ1TfHrzx178QbAmi/MA+/hUbwJs7sxk1ahRvvfUWa9asIT4+vsVtUzSPtrJzIQTxXboQ06kTKz78gOLiYm6YeRPBwcEs/vsjXHXDTXz56Uf079unxc7fvv/hJ6ZNOd8mbqA+RIQudCorK1n0wF9J7t6db9as47abZ1ISFNUgn451pVx541+YeNZI6qREANGlRwkNDua77Xu54dFlhC19l4QusRw6nMHnT9zD70ZqqyFztv3GmEX/5g99k1j2y166hIdRWFGFzCuzCRhjz4ynRE3BroOmvTjNETme5GRAhO3/jnVOO/yaTWstE48CMvQvUsoqIUQNEGXturzSVQZCiFuBW43b7rrrLm6++WbS0jSRMWDIMC4c2pHzx/TjhXumc+GFF/Lhhx8yfvx40zy//vprDh06xIgRIxg5cqTDIa0tW7Yw8oyGarWuQ1cCynNsQ2Pbd2ey70A6R44cYeiAnqzd+AsXTByL5cB/kCfSKM+3NZ8YgEAIC40ELIiY3owe25v9K8ZwKKeQA3u2c/ad19MxIgQR0xvyM+gQEshb80fy6Ptv0D02lPz8fK655po2X0WjcEmLbN3MzseMGcPw4cPpN/wsiotLOHGyhJfnXEnH8A6seGQulz7yIjfeeCMvvfQSFoulUZ4FBQW88847dO7cmUsuucQ2ZGRPfn4+J08U0qdHvf+o4DEzkMfSqT60SxMuB/bxzPKVPPjQIqSUPPzMi3xz0R8AKHrzyQYPz8jQEDrEdcLSvSsA1cU5hAQH8Nzc63ls0V/Z8d1aQixTGNkv1dZDVLDrIFfEd+Jg2hF+3fA1kZGR7Nq1i1deecX1mVe0Ja3yTL9nwVzm3X0/GVla4M0BgwYx+qwxTL7kKv5aUcuUGZex4p03GTF8mKnI+e+3G8itgFEjhjM4xrHbgt+2bWPEsGENttn34Py4aSNlZWXs2LyRvsPPYsVPewjurs1569s5nH5h2kR6y4ks4qsK6g8MDqYibS/nDu3Pvv88xcGcPA7nHmdkhCA8JNCWLCY8jFdvvZR/fPANXYKDyS4qZXpiApO6dNbqszvf1Sm0YSaInGHsGTKKHWerqJrrQNEdjOKmNfFYsE0hxGG0sdcfhRBPAqeklH+z7gsGqoAOUsqKZuQt9XpWVFTwwAMPkJqayrPPPkuXqCBefWIefaLLWfdLGjP//jmvv/66TeRIKdm0aRNvvfUWn61cQWJ8Zzb/tovQ0BBmzLiYf/zjH/To0QOAmpoa7rrrLl55eTkvPT6HP1z+xwb1CMjeQPkBbQl4XZ1k7F9/YMHCJ5k3bx4Z3y2nY/73HN+1FkdExPe0hZwwJaa3rYeo/MC3DQKKHjhWxV0fFHLGpCt48cUXm3oKT2s8HYCwtWzdaOcAK1as4MiRI2zYsIG1a9fyt1nXMefPV1FZVcWCR/9JYU0g77//vu2hfvz4cT744AOe/r+HGdoriRXfbQFgwIAB3HXXXcycOdOW98aNG5k1axahopafVrwGYOu9KT+wr0HAz03BVXySkcvgydOIi4lk0c1XcPKrj9nz7iZACylhfGh26NMPi82Hj2N0EWV8+FbX1vHK1v28siONrXv2KeedTcSTtt7az/SqE9pwzcmTxTz6xGI6d0/l3y/8i67JqTyyZCkJ3bqz/btvuG/+HD78z+sMP0ObEyal5PtVK3jj48/4/petdIiIYufuPYSHd+CS6Rfxf4sWkpig9QBWVVUx9+77eP/jT3j/zdcY9TtteP9oWTX78+s7mvp2DqdnUCkDR4zh3gcXcd9dC1i+Ziv7C08BcNtZSXSsK0X++mWL/dto91YuP2w7wvPF/8/eecdHUa1v/Dvp2QRSSSIt9BaKggIiIkgRbBRFsWFB5ar3XixY8F5EsWK5WH/Xem1cGwoqXEGkCYoURSOGTiAEMIRUIL3M74/NmZw9OzM7GxKl5Pl85sPulDNnlsnOs8/7vO97gNNDIriuiW/FMqlbvOl6f/w4KsyUHRmC5NSV4FiFDY9VvXHqwWkogjMJuFTX9dE123oBc3Vd71THsXWzeVZVVfHSSy/x6ivPs2XJywA89e+5PPjMe7Q6LZ6pD0xn4cKF7Nm1jWtHn0twUCBzF6+jfZtW3H/zhSz6diOvf/QNH3w0l7POOourrrqKooIs3nnqNhLbdPfw20Bt5lZJTgbh8cks+LWUu56bz2UXDebpyeeS/d0bABRme2eTRCW4+woJkmNcmwnZ0fN3GlWaobZz+kE9kYsf38ALZCxjAAAgAElEQVTebO90+UZYo4EJTr3d61b3OcDOnTu5+OKLefLOSYwefh5lZeW4Us4lwhXOpJtvweVy8cZr/2bYGV0ZcVZ3Plq2luyiMiaPOodOLRK54/n3GDnuCp588klWrlzJxIkTeXXmvVxy/kCCgoIoXDLPIBqierIgODHdEpj4xbdUBQfx8ZdfEr/mM2Pf7E1ZXj2z4lLa2ZIcLbG9kR0mzitXbAa4e00ql48czMQnGsm8P2hAglPv3+mC4AgUBkRSUVHB8889w9dLljBnwTcAvD7rEV5+YTbt27Xl9lsnMe/zBeQXFHDNleMpKi5h4aLF9Ejpxt9v/wtz583nsy8W8No7c+jQsROTrr6c6KgoXnpuFs3i440HqyA4aVlHSElqYig0b85dwJOPP8Y5F1/O+Ml3GXO7pFWQQW6cZDJBLXkQJEEQI3H8rx9vYkdFCf93+ACz42rDvqmFtSUXekWFWo4vE55jITnyXM1wLCTnZCU4ccAOYDTuWO0cYIOu6w/XcWzLL/7vvvuOc889l9SVn9AuuQXl5RVk7vyVb9f/xqZdhzjrjBTGXzKc+V8t576ZzzP/8wWsXr2al1+czZpPZ/Hr1j289sEiFq38ifHDevHeSw8RFO0mIAEmva+EggPg6jsZcBMfWbnZvd1bSo2NdtfpadHDuyCh2kAUMAiOrOLouk63B7cTHx3GuSOv5MknnyQhIcH8Q2uEgQYmOPV2r9vd5wADBw6k42kxvDTjXioqKzl85Chb0zP4dO484lslM3HcRei6zl/++SS9+g1kzJgx3HXHXxh3dg9uvug8HnxjLp+u3ojL5WLODSMZMnKoQUJkgiMgCE7XCQNwdXRL9bLikr0piwNb3VJ98y5xxnFC0REkRyhDZoSncMk847V8/td+2srbqdtp1SyGmS+/zsUXX9xYNdkBGpDg1Pt3enahuVXn60VfMWniNaxau4Gk05pTVlZGQcZWln+7mi2793FWv35MGDWEDz75jCeeeY65c97hf4uX8Mm8z1mxaAGL1/zEJx9+wIplS7nxuqt5+V/PEBgY6EFuAIPgAAbJERDqjiA+QXl7ObzU+2/EDlakofbv53fKqqq5YNX3NAsMpmdIBFdFJrDrSKXpcWZkx0rVEXBKfOpCcJy0Zfizs6gahODUvL8EeBFoBswF/qLrep2qgdl98eu6znPPPcdjjz1GYWEhYWFh9O/fn8sGd+GOiRdR7WpOzyFXE+Fy8e/X3qBPnz4AdO/enawDezn0kzsVsby8gpCiWtWkusUgU4KjS++1mA7o+Tu9wlKC4OTmlRMX61mAUBAdcKs6kYk1LN+E5BxKW0Fhdpah/gBk5pVztLSaeb/BB2sLmTp1KlOnTiUo6ITpuvGHoyEJTs37ernXfRGctLQ07r77bpYsWQJAy5YtGXxmDx6+Yiht+57L3K+Wcd09M5gxYwb33XcfwcHB/PTTT5x55pksfuZeBp/elerqao5u30bh1j0AtLtrKgDps2ube2ZvyqLrhAFs+WgNCT2SaDVmFFBLbsSX4ZaP1hgEB2pJjqzoCKID3gRHDYmJcwOUVVWxt6SEg2VlvLY/k3Zn9uOFF16gW7cTL5Pjj0RDEZya9/X6nW5FcKqrq3nu6ad45snHAQgPD6dv/7O5bPwVTL5qLLqu06ZrT7p07sTspx6nW1f3Azi+dXvatG3PstXu0Gl5eblRAFaoBIUBkR7em/m/1artKUlNjNeC7AhyA3gQHCsDsEoozIiDTJKyN/3OvpIS9m3P5euSfH4oPcyAwGj6BkbZEnqZ7PgiOVZz8zVPGb7MyFYk56QhOA0JX1/84K68umzZMoYPH86KFSu46aab6NO1FaMvGcnXq1MJDQnhg48/NW6au+++m5CSTJ685RyPcXSTbuWCyIjX4FZy9m9a40E+BGSCIyATHZnkCMhkB2qVG5XgyEjPLuOej3+nw9mX8c4779Rb6vDJhvomOA0FJ/c5wLJly0hJSSEnJ4fZs2ezZd0qqqqqeebh+xlz2/2sWrWa7t27A/D777/TuUM7Mj6ejSss1Mh48vySrf2ST+iRZISdWo0ZRXDbFA/yIxCX0s6S4IhxxH5y6EsmOxW708j8fJHHuL/MTTPGEmNX6jpLSvL4sqqA5WvX07NnT5+f0amKE+letyI4AgX5+fy4YR39zz6HVd+u5K6/3k6fM3py03XX8Prb79KlUyeef/oJ4zv9ljumkNw5hb/debftuILgJEUEk1VUYUpyZOVGoGLPZo8QlV2Wk0wm7GrbiDGEwfib/MN8UXGIlgFhjAyKQ9M0skorSQrz/gFb34rOsZCcRoJzDHD6xS/j22+/5c477+TAvr2MHTOa1958m3379tGiRQvA/Wt48ODBfPnsNfTv0cY4TiY4sg9GdC8XJuHs794wvDYqASnMzmJHundcUZCc2OgQ8gpqyY+q6ogx5NdW5ymp0PnLZ2UMHv93nnzySYefzqmFE+lL39/7/OjRo8yePZuHHnqIGX+/hUdefINp06bxxBNPGPuMHTuW6NJcnrm4P4E1JNiK4MjoM/1GADI/X2TsIwhQ1wkDDJ+OWZhK7AuepEWsF1+m6jzksWTylFpYytHQMj6ozOXX9D2NaeQWOJHudV8ER8Xypd9w3913Eh4aTJ/Te/HBJ5+SvWcHUVHuVO616zcwfuIkPpn3Jd1qCD54ZkuJ1HBwqzqFAZH8e12msU724wCmBAfM69WY3dN2UAlS1uYcUgvLKNWreK/8ACmBkZwTFENWaW3ISiU6KslpSIIDdSM5MuqL8DglOCftT/7zzjuPH374gWEjRhIU6mL//v0GuQFISUnh3Xff5YYnFpG+rzY9T4vpYGr8LcnJ4OjBdDfpkbabkQ7wVGziYkO8QlVWsCIzArLKAxAerHH3uUF8+p9/GenzjTh1EBkZyfTp05kzZw47cor44IMPePzxxz32ef/99yGpPY99uQrAQ1FRcWBrrrGAd1hJqDuyCdkK2ZuyPPYR42ZvyvIoJa/upxKl1MJS97WWhdIiOJSXLx9JRYV3kbZGnNw4f9hwlq9eQ9fuvYiMS2Dr7r0Q09zY3r/vWTw+6xkmXX8tBw/W3k/bc4oMT40gO1HVRwnK20tcjn2DSLm1QHCbbsYDXrReEEvL0Rd6tWlwQhhkJHWLp1dUKGFaIOcHxZFaeZQC3fM+l8kOeBqSwU2S7NLNszf97kGs5Pe+GniCfYNOJ802j7Wekb84aRUcp3juuedYPv8tFr5YU55BkJf8nYahWDb6Ria2I2zwIx4p4/L2wuwsD3VGQFZp8grKPVQcq5CVWXhKEJyjB9MNMpRfXM0/v65kY0YJr73zEZdffrlfn8HJjhPpV21D3ec5OTn06tKRjyePJanQrS62GjPKIyVcDTf1/8+zaIntjXo3sooDmB5jtU2GvJ+AHVk6sDXXIDn7gotYVX2E5OQEvly/icjIP6aexomCE+le91fB8QWhyDz56CNkZezihTffM00HT4oINohNZWxrFmRWepmNRXhKkBvxYJYf4kKxUFUJeV8zMiCHuFRFJXvT72RtziGnqoKn8/ZxoLqMscGJdAh0OfoM6hK2EqiLuuNPocC6dno3wymv4DjFtddeyw+bs1AfLCJUJZMXqM2cEkTo6MF0L1VFJSxmBMYXBHkpzM7yWMwQ4wrglbEhfHJ7Mn+7+Spefvll43pE76utW7eSnp7udZ2NODUQHx/PiEvGkFpc2/6heMc2wxOjIqFHElpie0oDXUSNGEdcSjsSeiR5EZPmXeKMRQ492ZGbA1tz+WVumk9SYzZGy4oInohIJiK/hAHtW3s0+CwvLyczM5PU1FRKSvwuzdKIExwiS2r8hKtYu+FHj22CwECt4bgytjWFAZEe2VNQG8YyewiLTtla75FUxrYmN74bhQGRbCsJpTAgksKASHLju1EZ29pQfFQSIP5GzAhFQo/TSOoWT/cep/F0s7b8M6Y1C6uyyQspoWfTEHpFhaLrOiV6FYeqy70UHlXRAecFBFV1p74hN+wMytvrsTQUTvnUm5iYGMrLy8nKOcxpzaLcWVMxHTz8NwIJA28Bagv+qeQHapUXsCY2Yr3414kfR34PtUqOTHoiirOZc20EU56ayrSpU+jSsilVus6mPYW0jguhuLyagMAghoy6jJEjR3LxxRd7NPxsxMmNVq1asfW3H7h6eB+vyqa/zE0zVJJR/VoY2VWhBzZRsTsNV8fOuDp29jApCz8OYJiSi3ds8yIucshJJi3itZmHRw1TCfSKcldlnlgVy6fFObRt1ZIEVxidWiWycstu4sJDiQwJ5vcjxfRqcxojrpnEmDFj6NWrV2Oa+UkOoeAkJZ3G3sx9lJaW4m6R5ZkhJZSZbSWhbM8p8NjeKT7CtC6LSnbkOi5qReSsogqIiES+g8M7dPFQc9S6TzJk4pMEtCmK54Hf0ng77yBtXBEcqSpjf2U5UVoQpXo1QWi0CQinY6CLDgHmSo9KcuxUHbMqyU7aPYjr89enY/fZHmsLh1M+RDV//nwef+g+1r19W20WUkwHite/ZhCYyMR2uDoONVQbeZvYLrB/0xqvc8ikR4UazhIERy4MKM9DVozkMJV6voLiKjLL49j1exHntS4lJiIQXdfZtO0A6zIqWL03gDU7ijm7SxzPvb+MHj16eI1zsuBEku0b8u+xY8sknr5sMIO7tDHWCdIiZ0Rd8t+pHi0bVJhlYsWltCNqxDijwrGZ+qIah8HtrzlU5laVmoUGcv3NfYxtgihZqUEACZ1j2V9Swu7iYpoGBdG7hrAXV1WxqfAwGwryWX24gKCQYG67dxpTp049qbMNT6R7vT5DVILcAHzw/rt8MfdDPv5ysWmIqnN4mUe6+PacIq+0cPmh66utgJyVJSMup1axsKt+bOaJM8vUKiivYHdxEVt35dA/tAnhAe7v9P1V5fxWXsTyokL2VpfSKzSC6yMTaR5kXSRQhT9Vko/FjOwrTKV+1mYEpzAgkoSoiD+sm/gJjZSUFLJzC7x+3Ym6NDKRsSM2AmbeGSty4wQyYYpMbOdxTvm1eo5oVyDRrgJ6RIP4FaNpGsmxgSTHBnLFGXC0LJilGYEMPvsM/v2fD7jiCs/WFI04udD9rLPJOVJsuk2En+JS2hHcNsVoomkVwhKQv+zsyI1TZG/Kos/0G8n8fJGhEAliJFQdVfFJdrlIdnn+cnUFBtIvNoZ+sTHcoevsKCrileefYfXq1bz//vuNyuVJBvnB2LlrNw7m5tvuL4hPp/gID19OxZbN0Kabz+7kMgSxUR/GataVrIzIGVdOCEPW5hySusVzRkg0p4XXGo01TaNlUCgtg0I5rSKCUr2Kn6uOcF/ubsYEJ9AxMMK2GrIvmPmErPpa+UJdyI0TwmOHU57gdOzYkdJKjcysAlqfFmOsF1lTQr1R697IBfpE+nhJToYt6TCDVRhLPlaoPHmrVxIbHWJUQ5Zr5Yj9YqNDvAiWGRErzM4iMlTj+oGx9G4Tzs1/vYFff/2Vxx57zOecG3FiYuDAgfySno5qQZe/sFwdO9c22qyBquYI1cesFs7S7Npfy8MS3L+KVWIio1dUmBEaA1i0bj8HrnmWoQ9fYnoNaohLrb0jt44QCpCmaXSKjOTZ9p15M2MLffv2ZfHixbRr51+WSyNODPTsdTp70tM5XFhIUlQUEOGh4rgfmrVhpc7hZeg/fsFhk+7aavVj8O5CnhQRbGRleaBNN6NujqzE/PrxJpK6OW+WKcJLTrw0YVogZwdF0yIglE/LD9JPL4fCGEuSU1+VkO3gJH3cKZHxt0nnyavVOkROTg7lJUdoFlNjNKtpeCmHf/Sa94CH2VeoPOq/KvIKyr0WcKs9dos4FtxFA7dkVJBXUM7Rg+nG/GRyI5/LilwJsiPOUZidRY+W4Xx1ZyvefOVZ3nnnHcrLvbPAGnHiY9u2bSRlbTHey+pMXEo72t01leC2KR6VhYPbphh9o4LbphgL1FYyTi0sZWl2kQe5ATyIC7iJzunjvds1CF+NCFWlFpYajTxFFWWwD1WJ9HMZqik6OCCA22KaM6xpEH/729/YuvXYmiY24vjEvsxMIiIjiYisDUMJpaZzeBlR1UdJighmUHI0ncPLKP7kefZ98ZXHGLLCIIey5PdJEcGm5EZOLReEycNXI5GK7E2/W6Zmi4yquqB1QDi3hLbku8oC0qqO8nNBqe+D/ERdM6vM1Juo6qMeC5iTGXm7E5zyBCc7O5uAgADmr9hUu66maWaHIVcZyowKoyZOA0FON8/NKyf7iGa6Xfbw5OaVG9WTZZIjCJF4LUMQqeT2nfjXTd3518NTmDVrVsNcVCP+VBTsSOV/qdspq3BL3ILMtLtrqqHcCEOxMEHKvaLE9vTZz5Kblu4zFHWorIrUwlK3KmNR8Ri8iZCAlQkztbDUOEbOthL/mhEd+fWk0zvh2r2Zgb1Pp6ioflOVG/HnIzc3h8qKSpYu+dpjfVJEsJG1Ix6U+sbFRpgovEMXD7VB9emYwYzcyCjZudU0a0rUq8nanGNah0ZWfFILy4xFhrzeLHuqiRbEyOB4Vlbm8WPVYa/tTtPHVdSlxk9doJKeuhiOT/kQVevWrYlLaE5IcKCh3ohWC81qfmzu37TGg0i07dTaqyu4DGEG9mUuzivYa5o1JbZDbbuHhCa15lN1TLFvXGyIB8lxozYDyyzrSw5fje57GslhBYx96SWmTZvW2N/qJMOA0Vex64WnCQoMMAgN1PaEEhWLhRdHtFYw6xkFtaZhobyYQVZlqCEgCT2SDDIim4wFhKIjzmlWU0feR4YIW9mRnKiwEO5q1ors7CP897//5dZbb7WcfyOOX5h5NADatmtHuCucEtyhJNlELNe1qdiz2Uu5Efs4ITfy/oLkCO+OGF+G3JZBEJJeUaGGSiMIkLqfKO6XFBZkSmTs0CuwCVQE8G1VDmcVNEXTNCNcJatDTsiOk4acqpnaLDzlj7/pWHHKP8Huuecezk2J4/JhpwPevagOpa3wSuM287QIyKRHkBzI8lJa5NeiynFUTWNwX94ds0KCZhDnMfPlyHOUM7U6JIbSunVrVq9ezZAhQxydpxHHPzZv3szjD09nyT3XEBgQ4NXlO332s0ZLhQNbczkd9xeaMBoLT47Zl1wzEwXGjPSkFpaSum4/o7AnR4IMiYrJKlTfjljnL0YkNOOzzz5rJDgnIKx+zeu6zr13TmH02MvoP2iwR8dwiICISKKqj3qQG1m98ZfcmM5h42Ks6mzLpEIQDUEuZNXGLDSlVjF2igTcz5eDejlJWt0Nx1aQQ1JOC/8JQuiL6BxryvgpS3CWL1/OvHnzWLLwU1I/us9IAT+UtoK2nVpTmJ3FobQV7N6+16sruGw2tlJx1Cwstf+UgDzuj2t3cmZ/7zYRMsRczDqVy8g+opHQRCc3r9xQiVTiJK5Bbew5btw45s2b10hwTgIUFhbyyiuv8P5rL/PgRefQ7ex+AGiJ7QkGXOBBbgR+mZtGc6PGjXlrh1qp2u2XkVWZZqGBXnMRZGbRuv2M6tfCa7sKtYeVU9iFw2Rlp19sLLN++IH8/HxiYmJoxPEPu4fc0iWL+d+XX7J921ZmPP+qQm48IZQGM3JjBaECqengMqyqF8t/O1mbc7jgbN/3v79qjRU0NFrpLrZUFZEUEEpqYdkxZVb5g4o9mx2ZjJ2gMCDSb5JzSnpw9u7dyxVXXEELbQ+LXppM08gwql21PU0iE9vRoscAg9wI+FuRODw+mcjEdl7KiehNFRcb4jFmXGyIl/fGrI+V8OR4hqJqxwDPkJbq1ZGhqlGF2VkMKvoP8+fPp7q62o+rbcTxiHvuuYfvF3zCA9dcwm03uMsAhPS/1NguF+ZTVRE1LGRlhhThHzsi0isqzIP02Pl3DpVVsTS7yMNnU58Qvp2CHQWcHhLCwoUL63X8RvgHu4eWus2KgGzbuoUpt91K945tmPPxp4SGWSt6Qj2IS2lH02HjjKrE8tiCxKhVjsEzo0ocIysRonqxmZqR0OM0el7Zg4Qep1lmKMnqTV1VGxVtcbFF+ixV746VmVlWlaw8cXb9qeoTdVFwTkmCk5qaSo82MTxw4zC6tE306D8VmdiO/ZvWsPKLJQaBUIkIYOvBEfBlQlYrGoN3+MnbU+Mfso9obMmo8BrbLo08QcsnoiqHf/3rX+Tl5dX53I34c1FZWcnaZYuZds0lTDi/v1HrqTTQhX5wl2ndGjPDr1VLBZXw+CIivaLCGJYQ4RFOUpUeOWQlTMpiXvKijltX9CoP5ak77mD9+vV1HqMRdYd4aKkPL2EqNSM0oiWCvG37xh8Y0L8fk6bcR5u2bY31KUlNPKoYC4R36ELTYeMMYuNLuVGJjlq9WEC0chCqhUxyzMK7ViRHEA+1e3hdkUgIRXo1y0vz2Vvq+TyRSY5KdOxq4DiBL/XGV5uGYzEYwykYosrPz2fc2DHcMu5sj/Wi/cKm1SttCYWqxogaOCoEuRHhH6t2DHWFUGhkEmYHoQZZ1coBz2t7bkIxs/49jR9++IHPPvvsmOfbiD8eU6ZMIffwUUJzDgLuL9eQ/pdS/v1HpH++yAgBCcJgRxTklgzql5xsApbJhxjPqlUDmHt11O0qoTlUVmUaAnMCoTaJefQPa8rvReUMHTCAnzZvplOnTnUatxH+w+qh5e/DLHPvXm6+/e/cec+9XpWLVYgmm05CUkkRwZZERoYIncgqjvzg9iA5eBb3c7c8Oe2YUsKdQENjCHFspJBDlBNS6v6bFARKNj37ghnJiUtpZ9qqQTVa/9Gm4wZVcDRNu0DTtB2aphVpmvaJpmlNNE0L0DTtA03TcjVNu6chz6/iwIEDTJ06lbjoCGbceoF7ZUwH9PTF7Jj3KCu/WMKWjAqPlGwr9QZqSUxJTobXIsOqnYJc70aFIC7ZRzSvFHGr/c3ITkITnYQmusc6JyblThGHuXVAOAe3rPS576mO4+0+r6qq4sMPP+SLuR8yedDpdEiMBWrIzdovyawhN0INEUTEKl1bhpmaozbglCHIjbyPOK9aN8cKh8qqPBaxToXT+cskK1QLoGtVU1q7XOTm1m8o7GREQ97rdfmlvjcjg8cenk7zFi24cvLfDd+NWMCtwAxKjialZAdQW6dGLuKnLgKi1o0Ms3VmMHuYh3foYpRgsC6DUD/eGxUtCacHTSnF/bdjpQ7JSo6T5ptOU8bry4vjDxqM4GiaFgN8CNwLtAQ04FFgOLAFaAUM0TTNv9KEdcQ111xDSpcOxFTsZtu8B0mIbWKQm50rPmRH+lHDmCsIgUwKBBmRwzmivoxcZ8YKTlUbmahkH9E4VKQZr1WYkR+n4SxRJ0eeu9zBvKJK552fdM4ccZ2j8U5VHG/3+ddff03btm15fuY/eXfaZKaM6I+rY2ejGrFIBZfJgEjVVtUSVXkxC0Flb8oy2imAW7URixm5ATyISl3QLDTQUHBk1clMgfIVNkstLKU6rIKc8HCSk+1Dzqc6jqd7vaqqiusmjGfYoHNo274D363fyL4SjbSsI2zMyGdjhrtVg9yGQSY2/lbEFaTGCbER6o2qXshwWkumvjw4AJVU8yuHiSPEUehLJjlWncatGnCaQe4mrsJpR3F//+8aMkR1KbBR1/XPATRNewr4H7AYd3OkINx/IH9It89ly5bx/dtT6No20b1CIjdC0RBhH5nYxEaHWKZXW0FujinDF8kxK+jXLEL3mJsMs3ViHLN16nXJkMmNrus8vLSaMFcEzz77rO2cG3F83eebN29mUJdWvHXfzYDbRCyqERcumWcoGGap1mZQQ0/N7XaWYEZu5Po3xwK5OadTyMqTfN3hrmqeOZrFV4u+pXlzp1d3yqLe73W7NGC7B5mmaXy7Yjkbfk0jMTGJrKIK0rLyDGIDbv+NqDRsFY5yEoLyB/KDWigW6kNd7SxuhfokN9XoLCWHhIBgLgo2TwZwEp4y6zRuhhKTthe+4CtU5S8phYYNUfUEfpbe/wYk4s4p7QrsBpbout7gpUS//fZbQgOradPtTGNdtas5WkwH8go8Qzu+vCx2ao1MbOxq5Qiooau42BAv0iIUJXU/eXEKp+rOkTKdb347TIeYSubc05fly5eTlpbWaDg2x3Fzn1dXV/PJm69wbs/aFgyujp3REtsDGO0PzCCrIiKE5ISMqO0Q1G0qmneJq7N/Rp2nPFcz87GA3XX8WHaExNBQVv7j7yxcuJD169eTkZFBRUX9PvhOEtTrvV6XB5bA14u+onVyG+LizAvU9U6OMYzBZr/61VCUDCcqjQxBzKxUCNl4rJqPZQVE1MMx6uOEBflUWsQ+vvYtoYr9lBIXEEJadRGB4ZXERUCHJkH0igr1IDdJ3eKNRYVd9ld9wImS408YU9P1hvlhqWnaG0CGruuPSesqgGRd1w84OP5WQFTg6nMsxbi2bt1KQmwksVFNoKoUAmul7NKc3ZSVu9OhgwJr1ZPAQO+QUFCw+8YPCA6lusI+ThoQ7L5hxH6V0hdmUHCwx3uBqiqdyirf/x/yPMX+lVXydizXBSnXZXadAGWVOnnFOpXVUFmtUx0QRllZGV27diUkJISAgACvDuzHK15//XV0XW+QyR5P93lBQQEH9mXSpfVp6GXu+y6waTTVweEEVJRwdM8+Kmp+FZZUeZcACA8M8FgfHuj9+yc4LIjgcPffQUVJBcHhwVSUVBjjBocFUVFa6bGfioqSCg4XlVNRj189wZrnnMV1VOjubWJ9cFgQh4tqiX54YACHKitAg0p0tPAwysvLadq0KW3btqWysvKEquh9It3rN0262WN7IJ73ZJXN7++tWzbTqmULmjZpQhUBVFTrFJTUfqeGBQfSJCSQQKpNx6modnbzBQco35c1c5THFOu0ynL08hL365BwyzHFPtVlbkJeWVJGZYnn86CixP33VFzz/V5h8ZwOVr6D5f3ENlfNd3ypXs2R6iqq0JsVaGsAACAASURBVKkO0KjSqymv1mkfEUGABgFomH2lB5n8HQeF+1Z7AkKtkxZsP58g3z/a33jrP47u84YkOM8A5bqu/6PmfQhQBrh0XS/xcyy9rvNMT0+nzxk9ObjkEYJFOwZAT19sWshPhG5EWEpWWeRO4r48N2b7ibHkkJdZ13BfSouYq1lIywyHijSvUJdVuMqqvURUQhKjX9jNkDNa8sbKPCoqKhgyZAijRo3ikksuOa7lfU3TGvJL/7i4z6urq7n66qvpHx/EbWOGGpWHo6+7F/3gLtJnP2uZ7WQF2UdjBTN1xMp7IyDmYdam4VhhlXYue3bUrDHZaN28SxxpTXTe2ZZB0/BQlm/bS+fOnRk1ahQXXXQRAwcOJCDg+K2ucSLd69mFnkKP0xDVptRfuO6qK0jf9BOaphmVh+f/5v7eSklqYnhvzOBvWEodR01fN+0k7gNqQUDZcCy3agApjdskZGWm2mSVVhrre0WFeigxqvpy8afLuOzMbry4+Ac0DQa0SuS85NM4v21z4lzeBKUuPaisQlVmpmOn2VShMYmO7vOG/GmyFXfMVqArsMPfP4Rjwe+//07Pnj35501D3OSmBtWu5mjgk9yor8HbV2MHq8aWMvGRCYWoduxP2ElAmJEFkVHXi39rURuWE8TK7PplhAUH8NriPbx1U3M6JYWy7vcM/vfGfdx/1+30HzSciRMnMmbMGFwul9/zP4Hxp9/nALfffjub1n3HrFlTATzaK5jBV+aUIDcqgbFL+TbGqukHBXikw0KtF6Z5lzijN1V9Eh2rcURqudn1yubkA1tzKU0MZM3OTC5MTGRx37PYcfQoP3z0IZNeeYWy2FiuvfZaJk6cSJcu/nkMTgI06L0u0q3tQle7du7gklEjePLh6Wia5iYW8e4Hpah3I8iNr7GcQu4eLuapQu5H5RRy/yaztPGkbvFkbc6hV5S7+rAgLb68OWbkRiU24nwRX6/njZU/8cU919A8pgnL0tJZ+P2vPLH6F85q0YyxXdow/qJzCA2uO1UwSx//o9CQCk4csAMYjTtWOwfYoOv6w3UYq06/bMvKyoiOjiZ33vWEJ9Z8uDEdqIjvS9D6mayf/65BcKyaXsoQ5MZKvTFTe8xUG3Ucq+aZVpAVHqHgeBMYe8iKjkzw7K59xaZDxOg5dEgMNUhaYXYWJRU6P2S5+GRDAT9nVnLzX/7G008/fdyEsBr4V+2ffp8D3HfffUQc2skD11zisV5kT6XPdpvFBcEQCgp4kx2rejhmhEdAJinNQgMZ1a+F0bQTvGtnyCqOfE6nqeN1gZn3x+xaozpE8V1uHiMSmqFpmsc8D1aXkRVcyjqKaNO9J2+99Rbdu3dvsDn7ixPpXlcVHCfIy8vlrJ7dyN6zg5CCfYZ5eFVGgZEWPrZ7kiMfjdxvyqxisRXMFB0Bu87iKgFSzceqouOPkuMxv7Agrz5XMsERf5PhHbrw1Q+/0K1tC9okNfOYx5HSMj5a+B3zt+xha/5h/nL+Wdx70TnH9J1uRnBkFcefWjh/uoKj63qupmnXA+8BzYC5wJMNdT4zhIaG0qZNGzZn5NOnJnmK/J0Q3xctprbnk1VGETgPS6kkxey9FXnwLrhnXjtHNkT7Ck0V+/ATZ5RrJMd4P0ztCNmQHs1w/1cqc8/O4vxWJZzfKpTS0Obc8sF7PNa0KdOnT7efxEmA4+E+B+jWrRsL317htb400EXA7to+Uwk9krxq2YgQja+KwE4zoA6VVRn7WknaRviqZj9BnoYlRBhkor7DV05q5/SKCiMiKIgLEhO81qcWlpIYEMqIyCimdo7lp5YRXHLJJaxbt46EBM/9T0b82fd6VPVRoqJDcYWHk5GZSccm5t+B23OKSIqI9lovKzFqM03xrz9ER8xJht1DWlV5rOrCyIqOmZJjBzVklbU5h6Ru8WRv+t2D5Ij+W6OtatPs3Motlw/lFmBvbiFXvvwJCW2SuW3McGOOMmFxkhVmVQiwIevjNKh7Ttf1BcCChjyHHXbs2MG2bdsoD7uAUX99jTtHd+SC4ecb22OjQxxnFqnkxlfHbyewIk2CUKjnEETM15ytyM3D35Xw8EC3ucsVYp1mfiwIK8vl+ctiGPr4TG688UaWL19OYWEhw4YNo0uXLseNqlOf+LPvc4CFCxcS1DSGj5evZd6qH/loxh2mn7WqnMgwU2jMKhP7gqyUCOVGJTpuKd6T2Ivzy4pSXUhOs9BAx8epHh3RydwXsrfl0U/T6B4dwnvvvUffvn1Zu3Yt3bt357zzziMiwr8H5YmCP/te/+nnX8jJzePw4SMMuWM6j834B9Hdz/FqqplVVGFZidjOg6MSHTPiI8b2F75CWMFtulGxZ7ORRm5GcsBNYmSfjYCaCSUgiI2s3PiCnMreOi6KlydexHVvfMGFZ5/B8p/SqKis5PywaNq3SETTNK8x7QiPSnQEyWmIisYNFqKqT9RVutd1neeff55pD9xPbNNwenZszqL/PgP5O8n+7g2jsaVdfRor1cUpwXHqbwFvf49ZCEuoOLKCYxaeslNwXCHuEJUanjKDrGCpsAqxrdpVzi0fHSU2MphBKfHExkaz9OcsqgJdjBgxguHDh9OzZ08qKiooKyujrKyMLl26NNiv4IaU7esTxxKi2r59OxMmTGDn9m3o1VUsnz2NPsNGAVC4ZJ6HB8aM4MgmW7u2C+o+AnJoSTb0yoZjs3CVqOoq5ibjvVX+eRrk8/tLjNTwlS8yJz6bj4IOsqekhB4tEzizbXO25hfx865MzjyrLyNGjGDIkCFEREQY93lYWBi9e/duMKJ/It3rdQlRRVYUMutfL/D408/RLD6O/uecyzUzXuD9de57pXdyjEeIypeh2K6tgwxV2RHjO0lZ9tebA7UmZDvzsQorvw2Ykxsr5cQsdPbp+jRu/c8C4qMiGdI7hbDoOJZ+v56Q4GCGndOX4ef2p2v7NpRXVFK8dztlFRWktGlJbNNIYwwZxxquchqiOqkJjsDmzZsZc8kopv1lLBMnTqR05Qw2rV4J1PpOrDKHBNTQjZ3fRsCu/5QZ0bEiOPIczAgO+PbgyOZjNZPKH4KnVnIW85JRXK6Tp8Vw5uldCaxJs9R1nX1l0Sz9KZNvfs1j255sQkOCCA0JIjgogK0Zudx5973cc8899W5SPpG+9I/lPi8rK2PmzJks/Oh9Vr/0T5oMusxozSBgp+A48eIIwnLAxiAskwWZOAmSY0dwRAgtoUcS7775U72Hqezgi+SYkcLMyjK6dm5G05oSEgk9koi5YAirf93G8h2/s3r9L1RUVhIaEkxIcDDZufm0bp7Ic//3Br179673aziR7vW6EBxwk4qfU3/lsmtv5L6Zsyho2cco8Hddv9YMSo429hMZVnbwl+TI6o2Z/8aX98YMavhKkAxBDMyIDtiTGRVOyI16foHDRSVkZufSNbk5AQEBBLfphq7rbN6RztLv17Fk9Tr27Dtg3OdBgYHsyMjk/snXc+ugHoSGOFO8nJKcP92Dc7ygqKiI6dOnc0b7WK6/bKhtiU0nDTHNiJDw18hEpz6aa5qRCSdQM6lk+ENufMEqxHZay9NwZWeRlfaDsS4qIYkY4MZz2nHjOU0Jjz8PwPBCpR+JZNrT79C58+s8/vjjXHvttcd1Ou7xiKVLl/L666/zzVNTiOx8OvrBXbaZVDJ5EBlGTnw4zbvEGSqOOoYdRFsHOTRlZj4W/wrfyx9JcuSQla/PQ8wtb2O2kaXVa2supwPnpbRj1LUj4dqRBLdNMY6prKzkrblfctGFoxhxwUgef/xxWrZs2dCXdVzDjIDYhYAKCgv558zHGTr8AlqcOZjl67wJhBNlxSmx8RdOFRv1AS6THDlcBe4mnSrMiIxd+Mkfr4s4vzgmDmga4Ul6NE0jpVN7Ujq15457HvDYFpS3ly07d3PfUy/y7/9+ymM3jGXsoDN9Kpf17ck5qQlOeno6Yy4cSp9OCbx8Zz80TUMrdtejkh/sVuEmQVzMatWYGZPFvmbkxkqxkQnC0YPpHhlWVllbbnLiqeLYkRqB+vTc+DJcq5lgeQV7jc/CLNzVrnUSH7/8AN//uJk7Z73IF198wZw5cwgPty4I1Qg3dF1n5vRpvPHmf5j7z1vpmtzCax+zJplWEMTC6gHvtJaOeqw47sDWXE4fn+IxL6uaOX8GybGD2TzkBqCphaWkvvkTo/plkdDD3TXaBQbJCQoKYvJV47jq4hHMmrOAPn36MHfuXAYNGvRHXsZxDyvSs23rFm64ajwXDDufSf94ioXbctmXWUjLVlH0To4x9pX9HCpZqmt7hlpC5F1jx98wlJU6oZIcFSU7t9Jy9IUe6+pCCOTzWClO6riC9ECtwmN17srY1nTs25r5885j+bermHrv/XydtofXHv8HwTUp53a9uuoLJ3WIatCgQYzs15YHJpyOpmlUtxhEwP5Vhv/GX8jkRg1fmZEbs32PBWLOcjaVHQQBMmv1oMJpmMqMdPlKc5dT8WVPT3h8skc2m0BZeSU3Pr6AjIOFfPnVUuLjzcuxO8WJJNvX5T7/6quvuPvOKSx+9Hai8g4C7gJ/IjwlF/gTyotKGpqFBnoQEjlMdfr4FK8u3GIfq/CUICZ2Cojs5bEqKCiH0xqS5Ih5mxUGBPyag/gsm3eJo+uEAbg6dvZQcWR88906rrt7Bi++8n9MmDDhmK/jRLrXswuL/CIbuq4zYfg53HjzZKbcOIFtJaFM/98W9mUWAnDpwDaM7Z5E5/AyD4Ij162Rz2en4KimZQGzWjsCViTHjEA4MdM6DW35O0Zdzy0TEtUoHNymm8e44jMXn09RURHXTZxIWXkFc19+iqZNIr3GFOM4mavTENVJGwP46aefyMjI4N5bx3nJYoKIyIsTxEZ71ssRPadkAmBGFGQCUJidZSx28OUJcgK5j5W/vausPhe7XlzyMaIrukzERAdzXwgNCWLOjNGc27sDA/r1YetW3ymIpzJmz57Ng5Ov5bQ4t/fA1bGzx3ZBEuT+Ur2iwmxDSnLauBm5EbAaQxACuz5RVmPKSo+YS0PjUFmV8ZlYXZM/BEsQNjUEp2L4wH4see8l7p16D7NmzaKysv4aLJ4I8Ccbad13qwC4/qZJHqTlUGbtfZQUEWw8nMW//vQuAmtyY7ZNnofoVi7D7AHtNFNIHs/stUoorAoQOj2fPIbVcSU7t3r4gsT7ij2bTUmRGC8iIoJPPv6Y9q1bct6EW9mzzx1JacgUcTiJQ1QVFRUEBARQXe3dc8cMVqEnAV/ZT/54ZATMjMryervaOTJRcdrawQxm1ysTG/drT1KiztUJQVS7mQvo+TtNVZyAuE48dX8n2rZKZOA5/enZqzfDhw+nadOmdOnShaFDh/o856mC8vJyAqITCW6bgmrPtqp5A95tC1QDMdQ+qFWFRd7HSdaSVfdyOyOzXWHBhoCq0sg+HH/IjXpNxTu2eYSpVPTs0pE1yxZz7aTJvPDCC1x55ZUkJyfTtGlTxo4dS0xMjOlxJwtkkmOn6FRUlFOFhq7rll6OrKIKiO9mtE8QaokwHFuljjuFUHDEuZIigr3aNtR3qrM8npkqJUNUg/YX8niy+iLOp5IXX8TdbA5hhw/wysz7eeaD/3Hm6Ovp27Mrg/v3oUmEi65RwZzTo5Pf8/aFk1bB6d+/Px06dOCdhT8Z/acA47Wqxgj4elgL1UYN1chKjhjbrq+VCpnU+II6bzN1Rl4nz0ddnIwvI6+gnN3b97J7e91SeAWOHkynJCfDfKP0/zX56lHs+/5t/nJZX/L2/Eja2q+4+Yar+de//nVM5z+Z8NBDD/HoU8+a/vpP6JFE8y5xhiIjZzWBp1IjYEZqDmzN9SI+8nF2ygd4+3UOlVUZnhV5fHlR52k2vnzeY+lSbjamOkenx1qhQiq4qKJFUAkrFy9g2YJ5xDYJZ3fqWr748F0GDBhAXl6eX/M/kWGn6AwcMoygoGD+t+BLY13v5BiatYqjZasoUpKasD2niFUZBWwrCSU3vpsX2ZDJTaf4CL8L+6lQyZKVkuLvPmb7y4u/MFN9/D0+uE03ry7oguhYqTiCZIr1mqZx999uJz3tZ6665lqyi6v5bfsuJj72f7z91bd1mpsdTmoPzhtvvMF/33+HZXNfIqD4ABXxfQks3kfpyhke++3ftMZn1pNaD8afdg1WsCIzojaPbHC2atAp9reCnSLlJNXdan5ibDPvkZWipLaEEJ9leHyysY+XmmOi7mxL38fgq/7J7wcPOaonciL5Eupyn1dUVNCyZUu+/HgOZ7WKco+V2B794C4Kl8wD1DTT2v9jtV2CqtSItG0zr4w41kyF8UUKfGVfmdXlMRtXbZhpdl4z9cUpGTKyo6LCHLWRkP034Fn/R4QOrZQcLbG98Vo/uAuAcbfdx9hrbuT66693NN8T6V63SxO3Uln+88oLbE/9iXf++yEAqzIKeH/dXnonxxjqiggjpSQ1YVBytKEm+EoZF54cuxCV7MERMCNldVFRxBz9gXw9VunrdT232RhBeXu9GoUKiOrIvmBGsn5c9j9uuvsfpL79lKNU8cY0ceDpp5/mwguGUhnegiAgsHgfVa6WuPpO9tivQ3wyO1d86CjUImc3mUE88P015trBu5WDPRlxmvotj6OmujuZoxy+Eue0+ww9iY/7OLvPUs/fiQZeJKdzu5ZEhAeTlpZ2XPUB+rPw7rvvUlVVRXyrdmiJ0egHd6Ef3IWW2J6oEeMAcHWsVQ+yN71tvG7eJY7UdfuB2iq+ajfwhB5JRnq4Ckv1B0/yVFfI51WrHNvNQ4aVgdgJZPO1aCNhF65y0oG9YneaJckREAR15Hlns3TpUscE52SBWdgqITyQ9/79IrfcdrsRpuoUH2FkTwliImrigJuIRIV7jquSHNVsnJLUxJbkHKvqczzCjFiZrYuKbY34n5FJjlNyY4WzenbjUP5h9h3KoyW1qeLHWt34pA1RAbz99tt898MGho0aw/4j7gdwYPE+KuL7UhHfl2pXc6BWNbAK2zgpyudrf1/HyBBzsPPgyOexCzeJ/WTyYled2Rmpsd/mbzf0kpwMI1yl5+90dMzQc3qxdOlSv85zsuKKK67gpptuol+/frz54TxjvSA5Zc17ENL/UoLbplC8Y5tXSnZdTbyiHo4ZrLwzIuwjYFZczy41HTzJjVOiY7ZeXed0H1/hOCewC1cJggowbEBfli5dyomgtDcUkiKCSYoIJiAggFffepvPP/uUqy4fS35N6E72xcjkxhfssqhSkpp4jOsv6qOLuROIz6YurSPAep5ZRRUei7y/Gq7yB1ZkRW/WlvPPPZtVewu8tqlhLn9wUhOcgQMHsmHDBoaNGMm5Qy8iNW074CY5gcX7AKh2Nad4xzKPDCCZAMihKbHIIRUrqF4d8K9YnxOY9arylcVlR5jE9duFzqzWOQlRgTf5kbOyZJJjmI9NQlQAw885gyVLllie51RC06ZNefrpp/n222+ZNWsW0175r6W5PjctnV/mppn6aYT6YFaTRlV1oNY3I4iOWZVjGU6MulbZVnbZWFbrVajERG4yKhuv7bqpi33k8cQyLCHCg/CJz0qEB4t3bDMW8CQ5cnhKRrvWLXC5XPz2228+r+9UwODzh7Li+7V07tKVEUMHs/LHX41tgtyItHE7OG2yKYiOWORqxnI7CJUIAH55Zuz2MxvbClHVRy3DU04Jgq9zqSTHF9FR/T9WfqLzR4zkm+/WNhb68wcBAQHMmDGDLl26cOFVf2PX+i8IC6ttShZQU/hPDZ+oPapkM7F4EIvsKTsSEx6fTElOhldbA1/tIXypN+BNOOxUHDGemvFl7edx5vMRn1tsdIjXPlZKjtk85TkJAmkVogI4f0BPbrz/JaqqqggMrB9z6YmOlJQU1q5dy4UXXsjrMeH85Wp3eCqsqhhwP1CzN2XVkgHJVyM/mNVqw+BJbNSO5ILkyOvlUE59mX/l8VTvjYBd7R2zmjZif5WcWalIakNQGWbkxqpsvgqh2Jhh6NChLF++nB49ejga60SHla9EIKdM57YHZ1Id24LHb7+Ov7zxFQHKd8C+zEIjdGVVB0f26oCb5Miqjtl7qzmp48uhMDXTyh/I8/XV5NPOd2NFbkR2WV0hF/8zg6rYiHPJn43AkPPO5dEnnnI8lhOc1AqOjCuvvJLTz+jNR4t+pMpVWxpdhKkEcvPKPVQJtW6NSmBUo6zst1EzhdR6OCrMlKP6gmzqVedgVvPGqk6QWt9GZGnJsKu3Y1XZ2R91DCA3/wixsbGN5EZBfHw8Tz/9NC/NmQcJnv/fwvdhV2FYvPZV+VhkZ8lj+DpGVTycEh8r34udamMVOnNasM8s/CZInKxYqepVQo8kn+RGrlNkF6oSyMnJoVmzZj73Oxmhqgny++GXX0uT6Fi2rzfPvtmYkc/2nCJLBUQOQ8lKjpxdZabsqATMLERk1cXcSu2pD9Q1w0qoPoIgydcirk2dt1BxwE1ynKguKrlR1+fm5tEsNsZxPSEnOOkVHBn3338/1113HYP7tKVN6+Zu9SZ/J66OQ4mLXWnUarEOsbhVEJnkCNJQkpNhqDWySuLLlGwHXxlbZqqJE5OwPD+5MJ8/3hmn6oyTnlxm2VSgZFQJb07NulXrf2ssb2+B8847j+jYOB6d9SwPPXCvsV5LbE/XCQM48PACb7OuFLISJEdVauT3sqIjVBA7340vMmOVAeXrGHkO8jo168tpPR0zUiMgm679hUxqzAzGwlSsQtd1Vq1axQsvvOD3OU8kqKTBiiAICEIydtIdvDnrYVp07kHv5GZszMinZaso9mUWsi+zkPfZy3X9RMuG6Hqdr9OaOk7JjJlypZ7Dl4oDnoqVIC1qM08VZvWC7OB0XDuo51i9Zi3nnHuu8b4+6gmdMgoOwJAhQ7jnnnu46raHPE17MR3oce5g46Ht60FvRVgs67qYwI6YyFDDSXaZU75UH5l02Z1TwKwaMXh+PjJpMSM3ZjWBzDLMRNsGeTEgG4/zd0L+TlZvSGskOBbQNI358+fzn/c/ZMWq1R7bokaM4/TxKV4P8rpmO6n1cKzgJPPIzv+iQvbkqKZj+b2sSpkV8pOh1vqR4S+pkVPD5fRwq+wpqxDVlp27adq0Ka1atfLr/Ccq5Ae7E/Nsv6GjGDr6cj5/9kHLfdKyjniFl1RlxklmlGpKPlYVxu54uzBdXZQgubqz2eIUansK8PTY2JESVSFS5/7dmh84r2dHx3NxgnojOJqmrdY0rb/0/gJN03ZomlakadonmqY1qVkfoGnaB5qm5Wqadk99nd8ppkyZwpGiEr5ZX0Mcah6krr6TiY0O8Xqgmz3gZZipK0cPpnuEtsR7f2BGoswIia8MKvU4db7iWKfqjT+tHkS4z8y/IxuwrXpSWaG6uppV63/jXInt/5E4Ee71pKQkHnnkER5/7iXPuSe2p9WYUUBt6EcuaCeTA9WLI6s54rVqAE4tLGVpdpFlU0onoSEzOCnmJ8b2RZLkQn4CdgqP/BnEpbQzFgHRJV3eB3BEbHzh2/U/nxL3udMwj4BMSC67dQrZe3ZwYHutEbtlTT0oGeqDWQ1HHSvMQju+4IuoWG3bnlNkLP4QrYo9m43FH4jrcdJ7y5/xBCorK/lh3QbOHn5xncc0wzETnJqb/lVgoLQuBvgQuBdoCWjAozWbhwNbgFbAEE3T/ph8uhoEBAQwbdo0nn3hVSNVXCwdhlxl7Jd9RPPo1i1DJQm+sqPMyI0IL4nFbB+zca1q4KihKbP+V1awqmzsq3+VVSVoX+niMrGxIzdWKeOzPk7ltFbt6dLF/zTFY8GJdq9fffXV7Nixg+9+3kxpYG0Th+C2KST0SHKklshEpr7bJvSKCmNUvxbG+PK/ZlAbYKqv7SATNydECzz9NDJy09J9lqo3K+qnJbY3FjsIX86Bg4d4/NX3ueGGG3zOtT5xPN7nanhKVlOCg0MYMP4mVn/0OoBhLhYkZ2NGPvN/yzIK/cnkQB1LfV/XOdZF3bFTiGQyoO5n5zOqC6wyscyUGzPYqTmq30esmz7zCc7q05ukxIRjnL0n6kPBGYjbyyNf/aXARl3XP9d1PR94ChCtcjUgsOYYDfjDCzxcddVV7Nq1i/UbfvIwHGvtRtoqFGamYyvIhMPfpp4q6urh8TWWPxWRBeSsKRVmXcTlfcVncvRguuG3MSM3Ik1cvJbxxcpNvPzeQj755BNHVYzrGSfUvR4SEsK9997Ls88+67FeS2xPXEo7mneJ81BERMNJGSqxMSMg8jG+KhSLDChBbJzALIXb7PWwhNpf4rLx1yr8pnZQF1Cv0Uy1keEkfCU8NnKNG3CTGbGI9wBHjhYx/o4HuOOOOxgyZIjP8esZf+h9bvVANVNArMhHn5GXsyt1A0d+38OX3+3x2r4xI59VGd41VuRxVaIjICs9/pAflXA4UXXqSq7MYPaZOjEEm5mVfVVGdpoSL4fFxP/7nI8+4bN583j/qQdsj60Ljpng6Lo+Xdf1mwH5W6En8LP0/jcgsYbZLwG6AruBJbqu19//qEMEBwe7v/hffA3AIDkV8X3p/aR3LNzKeKyGoeRUcvAkOerxUQlJlsqJON6K2NipN3aQw2X+hszkUJ2caWa1n9pFXIUo7ifIjLxY4fMVm5j8xDy+WLiYli1bWu7XUDgR7/VJkyaxdu1atmzZ4rE++rp76TphgEfhOjNPCpj7WlRYKSnDEiI86sTI+8k9r9RsJCuPjS/IJuP6qKQMnm0urJQbOXNK7eYO5h4bNYNKvD9cVMKoG6fQs+8Apk2bVud51xV/1H0uHnDqA89pm4G0rCPGEhLuou3540n97D8cysz1qIUjXsvVie0qFQuYkY1jCWeZqSzqOczGV43GdlleTlUcleTUxdBrFaJymskVlLeXD978N9MfnsnCt54nLqb+TODGOep9RDeaAobjVtf1Mk3TKoGmuq4fBa70MG3S5wAAIABJREFUNYCmabcCtzbQ/Ljpppt47LHH+HVTGme0jzJITokewahJt/Du829yqEgjoUntjxGrmi+x0SGWhCEqIYm8gr3G8TKZsap5YxcCMzuPk5o56vFWNXSssqkEyZO3ybWCnKpTdplhZiniQuH5bFkqd8z6nEVLltG7d29H5/qDcEz3ekPf5y6XiylTpvDcrCeY89Zrnts6dgYWGO991ZOR18kF/sR7GbI6YtXOQcCsz5UZrGrW2O3vBE7Gy01LN1Sc3LR0r5R4VcWRQ1MykbHy4oj1Ob9tYPTDr3LG2efy8ssvExBw3OSB1Pt3ulljRvGgVeuziIe8mYoiCvyFdhpO/uIbCe14IYcy4VBmLs1auf9vRVZVSlIT3l9Xe161f5UM0bwT/Cc2TsiRmWJkdj4r0iJ/FttzimznKHcFlzOfrIiNr1pE8rFqjy+r/dX/77c//ZIZs1/jm/f/jw5nDcK7VfCxw+dfj6ZpD2qaVmmyvGVzWAEQLo0RgptMOa6jrev667qun6nr+plOj/EH4eHhTJs2jYdmPmGQm+AdH9A0dwVau5EkNNFpFuEmN7HRnl4Uudmkk75P6vFOUrnNQmH+qi5OQmOCtMm+GTtjtazQqPvYmbGtIBMdNQtNkJu53/zCX5/+nMXfLG9QcvNn3OsNfZ8D/O1vf2PZt9+xYfMuLy/O6eO9a+MI87Gceu0rrCSyoIRaY+eNkcNeTnw9Tj0zYu5mqo8aOhNqVWphqVf3ckF4ZPOw04J9KpzUuRH7FRw+wsUP/R9nDhzMK6+80mDk5nj5TjfzacgPQSs1x+xBvi+zkKDwJjTpOoLsVW+Qn55Kfnqqsf1QZi6HMnM9yI0vyKTHH2+O2X5pWUeOyd9jdg4zL44VhEomPm/1s5dDTIKs+JqrHJKSs9/U85rhzY8/ryE3r9ClfRvb86jz86fWj8+/IF3Xn9B1PchkmWRz2FZA7oLYFdih63qJ45n9AZg8eTJbtu3kuzVrCc5Zz455j5K94H4ABo8eQdfkYA/Fwiz0Ivd5slJR5HCUFXyZhsU6q35SMiES+8nnsyrcJ65PJi3CYG1FWMT27COaY+VG+JfkUJ58zcJwrGJXZg63z5rH10tXcsYZZzg6V11xst7rTZo04cEHH+SR6f8wqhpDbUbVqH4tvArbqeEqucideG/mzVFTva1UGXkcM8hjqO0VzMiIL4isKZUsyUTOCtmbstjy0Rqv9XbGaytio3ptZPz14Wfoffa5vPjiiw3qLzve7nM1zfhYsnOadL+QqvwMqo5mA25iI+PnNemOWjkIqMqO/NB34hESITQz2GVwWZmgfUE2HMtkwFcKt4AaChNQSYVctM/O4CyfU7z+ZfM2pj/3b5bN+Ted27UBfPebksOX/nRKb6gQ1efAM5qmnYs7VvsE8EEDnavOCA0NZebMmfzjoUdZ+c1CWvQYQHh8MtWu5oQNfoQezGD/pjVebRs8Hvzb93rVoFF7P6nkxV8lRhyjkhurdg/yuUXbCRVmoSWrrDEBMy+Sr75T3tuzvOYtCI9McIR688CrK7h76gP06tXLdm5/Ik6Ie33y5MnMnj2bpT9sZNjZtSpYSP9L6TMdMj9fRPamLDdhkLwrZqEqleSoRfas9lPX+3ovaoyLc4jxzfava4aXL7VJhghTWc1b7CPgAqPvlLGuY2fTkNW6X37j2x83sW3bp3+Ged4J6v0+tzKyqg9is3YC4uEryIMo7pfYriVFvcdxeMcqXD0uB7xJjvpeVDRWiYhYl5Z1xKOdw7HA7Hh/VR15f3nOclXmTvERtaQjwv3ZOWnLoPp9BIkzIxUiIw1qr8tXIUJd17nnoSd4aMotdGx77IX8fKFBNFBd13OB64H3gEwgG3iyIc51rLj66qspKiljwVeLCRv8CFq7kUZ/qrDBj9CixwBjX1EnR4Yw3FplV9WFzKhQVRe5hoyZaiTOKf6VzcxOw2qAoeKoISnZlwTWtYLkdXJ4z+ozEcZjYT5etWoVGzbv46677nI03z8DJ8q9Lsj8jBkzvDpTV58zweeDG7zbN6h9m47V0Htgay6L1u23VIZUz49KmuzUHKsQl6ig7HTuViZjtRYOeJMbM1TsTkPXdaY+8QKPPfYYkZF/aCUBx/gj7nN/Qg/yQ15OC2/ZKoo2Q8dD+REqCzKNMFWzVnGGH0fGxox8g8RszMg3/DyCLNh1FTdTLVQCIzfqrG/YGaVl5Udur+AEarjJiWLilKQtXL6a7KMl3HLlGK9tTlUmf1BvCo6u622U9wuQHYzHKQIDA5k1axZ/++sdjFw2hwiA/J0E5O/kcIdbaNpxKG1r2i0cPZgO6e4sHzm0syWjggSpN5MdzAzKYB2SAgyTsgzZu2Kn5Mh+Iav51MIdnjpU5P4F2SxCJ/uI5kVo3H6i2vcquZGVoIQmuoeSI38+dsbog/nF3DBrKbNfeYfw8HDL/f4MnKj3+tVXX81zzz3HB598yjVXjjfWh1UVE3bdvXTlGcD9EO8lqSb+tDvwpebIkENNhknXJiXdzoxs1yQztbDUq7CfOl87mKWBi7YVajuLuuCxl9+iOsTFxIkTj2mc+safcZ8XBkRaPlCdtEYQZKdg+E1kfPM2gb0n1pCcXpwxwNNHZZZpJWrnCKJSn2nbVuqNlcHZ7jinkNUcu89PVV2ctGrIItRjnWx0NlPn9m9ax+3Tn+KdZx6GhHYNYipWcUr1orLCqFGj6HPmWTzy4oc8df+NBMipyjEdSBh4C3r+To4eTDce0H3HXg/AorfeICNfIgVH3DeQIAUq4REVfr2RRYseA7wypqISkmjbqTWF2Vns3r6Xtp1a+8yqEut3pB/1mIOZb8cOh4o0w2htdi3gzFjsax85HT48PpmSskrG3vM510++m3HjxvkcvxHOEBgYyOuvv86ll17KiPOH0KxZvMf2qBHjjPBJ801ZNKf24e7RhRxvIiGUEF99p2SyYEaYnISbRAaXPIYVsZLn5qS5p3y94r3InLK7FrP3KszSxz9avpa3P1/C2rVrGxvH1sDs4Sj3SDJ7SAtiI15ndh/M7+v+R3nmBkJb9wPcJEaEsuyQktTEqNqblOyZumxHEMQ2f+vlCAj1qHdyjBEWsyI3ZuE0eb1MkLxCVjYw3SfCnHS6SZCzay0sPMzFE2/j7stGMPScvn6TG9kg7ddxfh9xkuLFF1+kZ4/uXD52NH1buv0fkSXb3N3GXc0JABIGdiBB1PaM6YCevtj90N9bSXE5uEIwiI5MeFQVQ6gkbvJQq7CoqdNyGrlQYlR1R4VQc9QO4G07Wd8cqkdHJjUyUbNqpGnm3VFVH3WOVtiWmU+/v37GZeOvYsaMGZb7NaJu6Nu3L9dccw13PfAPr7RxLbE9wUBU2xT6qJV4Zz8L6/Yb+wp1R1VA5GJ7YP7QF4RBVmKswl9WkLdbqTBWZEmoUuo2MR85XOc0e0q+TtWrY4WbZr3Bkl92sGLFCpKS/G/geTLCzP8hEx7Z9wHmD/a0rCOMPrctca6ZLJ95A5FnXAq4vTcijKVCrBNEaVVGAZ3iI0iKUEI0EdZhHn9JjtX2jRn5xjycEiUndX3s4Iv8qMpaUN5eomJbQ0Qk23Psx/5l40ZGXziCWyeM4c67p3iMKUMlUXZlBJxCU+PxxyM0TdP/iHm+9tprfPThHJZ+/AIB+1eh5+80zK7VLQYZ3pyK+L7GMYHF+9B++w/r57/Lqs1uoiPgkvhAswjdeOinZQV4rTcjEOAZflLDTWpoSiVEcljIjODIREhkTwnIBEUoN2YERz1OHCvWmYW31LCcrOD8Y85mwlLG89RTT3nNt67QNA1d149L56aMP+o+LyoqolOnTsz77zv0PdM77V4uSie3FShf+6VhRlaVEwGrDCordcMuvOOrPo5ayE8Op9VlPzFPlZzYtWVQu60LmBEcoeAU79jG4bgkTp/8CJmZmfXquzmR7vXsQu+Ht9mDViYO/j7wP3r1BX7fsomm/W8D3F6cSwe2MdQSgd7JMZY+GbVRJ3g/jM38Lb5Ig2oWluckCI7ZnJyQGX9DXGrlZhVWfagqY1t7pJabhbbu/+stdGjXjgcmjjbWyTV0ZIjCj1YQx4XGJDq6zxsVHAklJSU0jYqjytWSgJgO7prjEskRxObQkVAiI4MI14qocrWk5KxZdD1rFv1yV5C94H6++mYXh4o0D7JziNoHfrMI3VB4ZKjZWlYQ+9kV+LPr8q2GpsxCSFbVm+U5iP2yj3j+IfvKxrK7zqW/FfDOjMttj2/EscHlcpGbm0usReVQQWpEzRyRWh7S/1La97+U9kDB+8+4U6ctlBY7w6/c38qOvMjjqAQpLqUdCWnpMNc73VoNM4nMMCdzE7AzE5vNR52bCpncACz7KY2hQ4cet6biPwLyA9POAKuSG7MwjID8cE7LOkKCS6M4PpZ4yWC8MSPfCFepGJQcbZxv/m9ZxjhCVZGzqTqHl3ldi1qcUMzfLLTmhHjIGVxmxEZWe9TjoLZYoV06urq/vM2tYtk32YyqPkpUeK3KI38GUdVH+Xrpcqb9dzxOcaylAmQ0EhwJ48aNY+bMR8nJzSWxJiwlHtUBxQc4Gu7+koqMhNkXxvPgotrCdMMTJzHiprE89NQKrk+Zyc4VH/J9apFBdIrLAekek8NAYF5B2C6UUxtW8k67FtvNWkCYVRAWZMasarMTdE0OdrS/nQFbzCswQCM42HcX3kbUHZqmMWHCBN6d+wX/+IdnbRwVVtuir7uXPh2/pOuObUZlXzX7yVcIKrWwFExIjllYSRh6RXhLEBD1WFWB8SA5fkCMIa5NEBorYmOm/AjI3htXx84U79hGYGDAKX+fy2EP2WMD3s01fcHsAZ6S1ITsQaP48b4b6H7FFILCXOzLLOTnNe57R6SLy9lV4oEOMLZ7Ettzinjy002A28OzsVWUQSiSkqOJy3F35bYLnTjtP2WWqu4LZuTGKXx9rupnKpOOij2bCW7TzSNsFJezmcrY1l7qViA6wcFBXmPJ+8r3Qn2RG2gkOB5o3bo1V155BX/5+wO898YLNHHV5NHXmI7DtSLSD2h8NMn9H/rEqGQeemQSQTkZrF2YjNYuAnLWc/isWXRsN5KoBffz49qdHiEpX+qGGXxlSUUleL6XX8sk52hNNphAYXaWFwlySmzkbDB/KxjbqVSu0CCKi60fuI2oH/zzn/+kf//+DBkyhAEDBngRmdJAF2FVxegHdxmKjtpPKaT/pQS33QXMM9Z5hIMchIYEyQHzujkqUZLbJPgy+ZoRHXkfq3YLgjw58dHIWVRW3pviHdu8DMau0JDG+1yBkzotYK7cgPkDO6FNR9r26sf+BS/Taqy73ER+eiqlhYcIi2pW8x4OtevFvsy4mrFrQ1Lbc3BkTPYHVsRCre2jwkrJUcNtAlbkx6wYoT+o2LPZ+FeQHAHVJxOUtxdXeBjFJfbZinap6Mei6Bw3jU6OFzz33HM0aRLJeSPGsDO7Jq00pgPk7yQ4Zz0dozONfR9clMG7z7/JptUr3WGs/J2Qv5OjRys5HDeEZilDiIsNISWp2lBsDhVpZOTXT4hc1J/ZvX2vZUsGs3Wijo5cgdmMdMjtJUQxw9rUdfN2DXWB3KQ0NKCy8Yv/D0CHDh2YM2cOV199Na+++qpRG0d0uzZTbgTR0RLbe7yWH96C0Bwqq2JptvcXuVn1X3GMXWVgMK81YxcqcnXsbPSPSuiRZElu1G1q53C7VHCxXiY5vuDq2JnwRoLjAX9L8AvYVQMWuOTOmZQcKST15TspP5JLTLteBrmxw6qMAt5ft9crhVzObpJ7PB0rZCVHQJxLvkZ5uxW5ETAjL/6knftSnwTZkaFWJQ4L0Dm8y3s/p1AJlD9oJDgKXC4Xc+bM4cYbb+CcwSN56q0llJfXyqUBxQeY/tn3TP/se4Jz1pPQRGfxL5XsmPeo11hau5HGaxH+Eb4cObUcPAvhCciFA81ISPYRjbSsAFZtrmRLRoUt2SjMziIysZ1HSwRBdATZsVJzrBQXu5CTaOXgD44eTCc8JJCSkuOmy8FJjZEjR7JmzRree+89Bl80js1bt3mYisHTZKwqOMKjE9L/Uku1Q26PYGdIFjDrMJ7QI8kgPyoB8uWJEeRLJS1WkPeRiZuvFHB5LmYo3rHN8N8U79hGwKGsxvvcBvKDVTzgzRYZqv9GPNzDIiKZMONl2vcZyLY3bkf//Tui23Qnpp13dXRfaoaqihQGRJIb381vlcGuhQPUFgiUr8nsms1Umt7JMbYmZTGW0/Wy8bdiz2ZKdm6lZOdWy7mrCA8NoaS8nIo9m00JkYz6DE9BI8ExhaZp3Hnnnaxbv57VG3dy+ugHWLnN/WVU7Wpeu2P+Ts7s7zYgRyUkuZWemA60aO5m+hXxfel3kzfxESgur00nl9UQuwaZctdvM5hVHhZjHT2YblQKNuv7BOakRU5RV0NlQuXxVeBQHc+qonFZZXVjPZA/EO3bt2fDhg2MHz+e80ZeygMPzaQ40v+U5agRdatXJPeu8ij4h6eyYua1MUP2pizDo5P5+SIyP19kup8YW1VnZAWmeMc2n6TIbB7yGGIuqrJTVlnVeJ9jby72pR443QcgICCAwdfezi2z/0vggR85vOIxkpNK6HTe+XQ673zDh/Pld3uY/1uWZQE+cJOT+b9lsSqjwFi2lYQanhK7vknquFZER5AZs+vrFB/x/+2deXxU1d3/3yf7BiF7WBNC2LfiRrVu4FZb6/q4tLa1rcWtWqVq1dq6VB836tJWa63i059UbbXWvVrXqpSCGyqiQEIgECAJCSGQPSHn98fMmZy5c++dyTKZhfN+veYFc9dz75y588l39RMuStBYhY01YNjuOPq2+vbFmclMTe/0iZtQxAng207ftqu7h0Rv49jk0hlBj+F03IFg0sSDIKXk2Wef5YrLf8oRXzuUm2+4jgnjx5HYVkPCtndpq3iTlroqCmYuQOSU0zv2SF93ckXS+7/mlaUPA54U8TYbbVKSI22LA+aOSvErAKingNulZ9uhUrP1oGVlzQFPiwS74+tjcYubsRYvdEsR11Fj0uOCJl38Jh9+toFx4/zv4WCIpdTZSH4fd+zYwVVXXcV7773H7bffzqmnnkpCQoJrELKOrNtI1b2/4RMts0l3WUFf40xVQ0cXN9PP8bRF0cVA3syygEaX1iwpO5xStvX4Gqd4HjdRo/a37udmSVLrpp9zmM8q9LtnXqM6MY/777/f8VwDIZbmul2aeCjY1coJFpSsZwlJKXny8Sd47ZEl5M06jGknLyItOy/AFWWHEhB6UT7FabOK/TKrFHpjSjfhZJfa7VTY0O0arceyoltprL2knDKmdIHRXrmO9PJpjsfX1+/b10vByRdS/fTvGJGRTnLpDNsUcbf0cBXro+jJnWDSxIcKIQSnn346xx9/PLfddhvzDz+WM884lWuuupwJY48kI6ecjKZK6pc/zIcrPSLmuIe2+h+j7Osc9NW3ATgI+HBlJR9s8Tee7WztK/5XrxUH3LW7i+y6qoBaOPp+0NdWAeyFjmc/5yKB1gwrO2GjBzsHa/QJBLR50DPFVJCyHiBdt7uTrp5exo4d63pcQ3gYPXo0jz/+OG+99RY///nPufPOO7n5uqs55aQTQ2oAqbqT+1X+fXqtn2tKCR19mRI31kBcO8uHwq4WjwpiDuaucsLOPaX3k3KLrwlF6OjnX1O1lcPPWOA6HsPAsCuyp//gCyH4znfP5ZSTT+LBu+/k3ZvPZd4Jp7PwzB+zYU/fc9maSm7nDlJCp2ZrMx9XN3HLN6czs73Ct94uu8ot7VuNX8dqxalt7fZrJaGOYye6FE6p9fq5QhE3gE+8KDeVLnbUMiVyNm6voygn2yduBoJ1v/64sYzACZGsrCxuu+02Fi9ezJIlSzjosIV8+6zTufpnP2WCdz4p0XKcd5/EthqPNaepkoKZfQ+zbxy+iLxHf8Wrn/QVrPbF5nTpPyQeQWAVN7q1xJpuDoEWFCUsrFlV7Q3VAfuqDuQKfR9d0DgJLruxOFmWckel+Flvvti6hzlTxkVrN+X9hoULF/LBBx/w4osvcuONN3LrXb/hF7+8gRNPPJH0Xo+rVs+u0lGZVRmTtfo0XpGj94IK1tLBSUwo4aCytayWIcAvrTtvZpkvNduKW1xOsEaZocTk6Ntaz/P5phoumTMn5GPEK07ZM9a/7vXlobil7KwU1uXkZ/KnB35L3Y5rePT+e3nwgm9yzOnfoXP2t9i5W7BzayM7tzb6igM6pXHrGVbPfl5L8fwZ5DV43DTJQLa3GJ46vzWYeCi6lVuDjdUx3eJ8rPfRLk17oK4hxZqqrcwuG++3LNSKxFZLz0DSyI2LaoDU1dVx11138X+PPsq/XnqGg8a0Uf/iNWQVlZFxyIW+7XozxviqIgO+ooHklFPvTSOv3xuYWZWR4hEv00v8J6Fd7I3uqtIDl/XqyUBARpQSF+n5JT6xY3VVKexcVG5p4rqwCeaaUq6y+/7+CZuS5vH73/8+4HiDIZbM9tE2z3t7e3n++ee58cYbmTt3Ln/605/65bICaH7tH3z51xU+UWIXc2MVIk6uIEX9mloee7fvQVeQmhiQhm49to5VwARrrxBKdpQT1vPv29dL/mmXUV9fP+SF/mJprnc21fV7v4FUDLbiJJC21dRw+1138dKzz1D2/XvY05rq60aeUzaXexYfDQRWHdY5oCSH02YVU5yZ7FcjR3dTWbG6iUIdr+7ycqqC7NSzSo/vcWqR0B+3lNpGJ718Grc++y4ANy++yG+dfk/s3FPBKh0nTjrYuKjCSVFREXfffTcAt9y+hAd/fzfFZy/ztHNoqvSLzZHAzrUeF1XBzD6Rk3/2Mk6c+Sg7177Npg1b+LK620+gWC0fToHFemsEHadj6e4qq8gAAooBWjugq2VuWMWN0/Z6HNBn7eXMnz8wM6YhPCQkJHDaaadx6KGHMm3aNN765/N844TjXPdR1h1l4VFFAbef+xufxeUrZ850zFjSxYRTTMv2dY22HcKtWVaFs4t9x8vQ+mtleNfbWWrs6uA4Ndx0w0kwVdTUUlBQsF9XMR4oodbK6c/xwPNDOnbcOM668tdU1DZR/c4yMmZ/G4CO5p3sWP0Gt//dY8kBj4hwEjkewZIJ+TNc67sogllt7GKOrKjxWN1TusixsxI5ja8/lhu7jKr08mkkl87g03VLOeekE2z3czr3QJpqOmGyqAbJDTfcQFn5VL5y8JHc+38vI6WkfvnD/Pv51/jn6xupfPtJdq5925eBtHPt2z5rDoCc9SMKD1/EIaedxzeOm+RzOal/rRlROnr2kpMbaGervYvIKlhETjkip5z0/BJf2rjTtqG0k+jv9u9vS+K1117jlFNOCbqtYfgpLi7mySef5GfX/pJvnH42m6vtzcTWVHJF8sSZHHPTt3zNOD95eq0veDiU2Bg7sTA3O41jCzM5tjDTzyrkRPLEmb7moer/TsJqoNgFPuvnkFJyyX3/jwsuuGDQ5zJ4KM5M9r36i51YOu7HVzMiZyS1z/+c5J4+EfPZC39j6ZMf+W1bs7XZ91IoAVHb2u2r7xOK0NHZ0NDqe+nUtnb7CR6VUTWzeESAuNGFjTX2xhpvo9ch6smdQHLpDL+Xst7oy+xIL5/m2/bFN9/lsy8rOP6I+QHbDSQdvL/3EIwFZ9BkZ2dz3333cdFFF3HE4YdzysJHGVNUxuSyWiaDXwYUeCwm7Q3VZJTha96JV1xkNVQzvWQLVPdNYKdO3XrTyj4LS+hF91QvKz0GBjxCJx1/K441OBj8RY/uggql8J9dkPPz/9nEFVdcwZgxY2z2MEQDJ554Ises/YIrLr2Y2+++j4d+d0+/9s+YPJVjbsLnrgLP/6efg2ucjN3/IXgzTt36YyeiujcF9rFyc1U5WXF0N5ruFrOjfvce1m1v5L3rrrNdbxgcTllHbljdR5nZOXzle9cy8egzeOe2RSROOwORlArAjtVvsBSYd5jn81XtHtT/a7Z65mKfoLC4gjKz+j0+t15SEFj/RxEsrsdO3CkxZq1GrKNq/iSXzqB78xekl0+zdWH949W3uO6SH5I7KjtgX3VcO2uNvnwgokZn0BYcIcR5QojNQogWIcQ7Qoip3uUnCCEqhBCtQoinhBAjvMsThBBPCCEahRBXDvb80cK0adOYM2cm62rayJh8DOULvs3k03/lc8FkFxYzdvZhfa4gb9VjH/r/Q0TVk1GBwHm5Ka6p4uARKLrLSQkZ2VTpe6l4HCVmQkkVV+uD1cSxiht1rk2N+5g8ebLr8SONmeuQkpLC6Wd9m4pKe0uNG7rF5NPmDl5ZtQ0IzXKiZ1Qp8aAXAtTFjFqu01ax3k/Q2Ikb3VKUMXlqgHXHLfA51KDjTTt2Uj5+NAkJ0Ws8j6Z5riwL6sd4qNxTyhJi1wBTWUOyx08mvWACsnOP3zY7Vr/BW395ltUrqtix+g2/l7LyLFu1hbW1e/0sMEm7tpDd2+JqaVKWKL2on51A0RuQ2ll69OtRx7Xb3w2rRUe/DoVabhefs2nrdiaXurub9IrHoSzvL4P6lgkhJgMPABcDBcCrwF+FEDnAk8DVwDg8PStVxbvjgC+B8cACIUTcOKKnTZ/lefB7Y2zqlz9Me0M1BTMX+FlK0vNLfGIiQOhYcBIs4O++UoJFWXxU2rm+v1uHcYVeE0dVN1YvtcytCajuTutP8b+qmkbKyoJXmo0UZq73MWXKFDZUbvRVMtbRY2+sy60ot1L9mlq/fk1W64e1cJ7O9nWNfPL0Wr/aO8FQ4kavLjz+1BN96+2sPWpMSgSFUhVZR52ravtOJo6PXitltM9zu+J5VuwERH/dV0rkpOaNhc7APlQqLseOHavfYPWKKl5YvrlffZ70Mar/9zeryq3+zUBceKHg5Laq2rSZ8cI/IWGwomW4WzUsBN6WUr4ipWwHfgPMBU4GPpZSPie2dQpwAAAgAElEQVSlbALuAM7x7iOARDzuMQFEV9rIIJg8eTKVG6v8qx3TZ6VIzy9h59q3fQHHvowqjdxRKUwvSfYTJnYiRxX601siBHMPBUvp1tPG7aoWA2zasIVNG7b4xmoVQAPhk8qdbNvVwaRJgT+CUYSZ617GjRtH0+5meprr+7WfEjmFs4tt2zS4BfxaURaTT5s7AnpZWQONdTFiZ7lR51ZWGyVGrONxEzV2fbL0Y4Mn/uaZdz7gK19b6HicKGDY5nko/aecKgIHEzp2YiFYnI5VVMwsHkFhaRmJ9Dju44TKvoK+WBzd7WIdh5MoG0hskV2bBztrlXrvVHk5lIDuntwJvhf0WXT+s2YDnb2S0oMO69fYrccF/95WoVZUVgw2Buc54F/a+wOBNmAOsFpb/jlQ5FX2rwE/BDYBv5ZS2trWhBAXADEViVdQUMD777ezL2McyTnlZBVV+zWShL7066yiajIsAic9v4Sxs4E1fZVblWhRIkcXNKowoI7KqNKXWy0pTm4i8LisdGGjttXTxq1Cyknc2GVfWWlq6eJ/bniLP/xhabRnlYRlrsfiPE9ISCAvL49dTbtJyi7sd9o4EJDOrQsZO6Gguor3p/4MhNYRXMeapu50LDe3mtM5f//G+9Tvbmbx4sX9GtMwM+zPdGudk/7g9iMcTMzUtnY7bqPEwaSSMWyr3EJgfWJ3Opp3+r2vbe2GTP9gY7tzWwN/reMNlVAsP9bzW2sP6W7B7NwJiNwJflLPyZpSu2s337/jYf685KYhbUcykJo8gxI4UkpfIQMhxBnAH4Fr8Sj+am27TiFEDzBSStkCnB3Csf8E/Ml77Jj4yzcrK4vWVntfqDX1Wr1Pzy9B5JT7xb6oYnvBxAH4i5y83BQad3WFVH/GOp7BYq1s7BS3o1dC3rNjIxcsa+Rb5/yYc845h2gmXHM9Fuc5QGZmJq2t/Rc2bRXrAzp5u7VcsEMXF04NO1VxPbcMLafAZifx4haA7NSTSm2/fMMW/vDmB3yw5gtSU1MdxxRpIvlMH6jQcRI5wSwQbq4sJSYmFueyKhVEdkGAaAmGJwC5tF/76Ogp7HZY2z64uafccAo2tntvVzNHDxTu7u7h+0v+zPlnncKJR3/Ns8wrTNwqGeviJbl0hmuxwf5URA4qcIQQvwB+bbPq/0kpzxdC5ANL8Sj986WULwghlgDp2jFSvOdy7+0e42RmZtLS4j8BdHeOW2sDa6E9J3RLjhI21mJ+KuvJKi704npWkeN2XjVuZZGxihfdIhRqQHJzfS3PrE+hqaWbJUuWuG47XJi5HjpZWVk0tvcw0WG9U6VjK1Zxoyw16l+FXaaUXbNMtRz8Y2mCVSbWt7FmS9llT/XHMtTa2cWFj/2Tx353OxMmDF2Nj4ES7fN8IELHaVs7i0gorhcldCYW5lI0IoH0oxay4Z23fOv7K3asYwhlG32cqqgf9FVDtsb36BWR3Qjm8lLiLlTXmM91BNz+l+dJS03lV5f9GPAXJ9aeUlbUOjtLTSiFBm3HFmwDKeVtwG1264QQmcByYAUwzavkAdbh8dkqpgMVXp9u3OL5q9Zrwckpp6XuYdu4GF3sqKwqFZ9j3Q7sY2vsKhTr763NNRUtdVV+IkctU1hFmPX9xCkTXIWatXeV03GyC4tZ8VojP7v1IVJSBh6/M5SYuR46mZmZ9LTssl2nLDZ2Iidj8lQKZ1c5uqHUv18501OvxmrtseKW0q1w6iflJlKs60IRNE4WoS+3NzB6dDEnnHdZ0GMMB9Eyz53cMeHCGl8SynnTMzJIkd2enlRHLfRLC3cKMrZjMDV6dHEDofWfCpZaDvb3X3eD2bnwdPGlUr6VIGmvXMdbH3/BL6+8tN9ZgrrwUenn6piDYbAxOOcCO6SUP7Isfw5YIoQ4Ao+v9jbgiUGeK+ppbW0lPd3zR05vxhivgPA21tzSw8ETeplcZvOFyin3y6QK1sRSxy5TydoKQW+/kF1Y3C/3lNX1pI5hN0aroHJyhamxbWjuYcaMmKlcbOa6RmtrK+lp6bbrnCw3omgSOAT5Aj7LDQQXNjrjTz3R0UKz9blXHPcLRezYbeMkZJyCkrdOO5oZO2LG+xiReT7Yeif9RdV7cbLwKFL3dZKSlmbbwBKODSpyPq5u8lpVMv3EgjWeRq2zCi6ruNGtNk6VlEMh1Fgfq8jxrcv03itvbI5yKa2r3sbkVE+kji5S+mt90UUO+KehD2eQ8RzgKK8vVmcScB7wGJ5Uw6eB2wd5rqinsrKSspK+Tth6+wPwNONcW9vGqYdZ0mubKn3VjqEv20mvQ6NbcVSfp1DdQUpoOMXfWIWQfn47QaMHHKtzW49rtRLp7E0eww1/2cSePXuivvaNhpnrXqSUVFZWMn7KTNL2tdGRmBFyoHEwV5EucoKhBISeYh7sXGqfxrVVfgX69HgZu1YNCnUeJXKcxA5Ab6/kn9ubueWJW7j22mtDuqYoYL+Z59YKw3Yia1PVRkaPLwX8rSR65eJQ0YWDtQGoXTsGt6Bi1ZbB2p4hVDeVU3Vlu3O6LaslleLMZHa3CG65/ymy0tMYnTcqQIRYRU4o7RiGIql9sEHGlwKXOqyuBl4czPFjjcrKSiaV9UUliLKvc9BX3+aDLX0//G1dHgEx+4ijPdvklNNW8aYvVkfH2v27D+cYGx09g8tOaKh1VuzO6WS1CQU/F1jSaA695h1+dOHlfP7na6PGPRUMM9f7aGxsRAjBmOw0Xy0cN5GjLDpdK1/wCQu3KsRfOXOmn/gIxT2kxIZqxQBAxXq/+Bm9oafdMZXIse5jF3SsixqnWJ/rXn2fjzfXsnTpUhYujOrUcB/DOc8H0sJgqAj1vJuqqpg75wBOm1XMhoZWv95OO7c2MnqesxWnYHyereXHWpTP2mzTrvigvo+y3Nj1nuoPbu65YIUD1TZT8jP57ydrOe+UE7hk0Q/5+MarEI1bfIJGuZhUbypwFjcBjTVzJ5BMYJDycFpwDBob1q3l3HPO9L3vzRhD4eGL4Cn/suxfVncz+4i+gn8KvSUCBBbmU1YTO3GjUBYXN6xFB/U0cbt9rSnu1vGAf2yPTmdaMe/V1LGpuobUkfn8d+MWzv7uj6MmsNjQfyorKykvKw0o9Ocmcpx6VCmUG8qunoydlcRqZbFacKz1boJlVFmPoyoXW4v6qXFYj9Xb28vnm2r4eGM93T37QEqeem81FRUVFBQUuFz5/o01NTna2FpVwRlnne21qlhjWsqo2dpMU5VzhpW1Ho2TcFDr7OJm1D7WoGK7xpp29Cf+J5R09N27dvHxqhU0NuzkU2D5W6/zg/N/zI2/uMrjqhrRF3ZgdU3pXcQV1mBqH5lZPpGjM6RZVIbQqdq0mbKJpf4Lc8q5+rJjWfL7PpX/jeMm+dLDVddxHWugrp3lRFl33AJ5rZ3CdSGjL7dub+dq0pfpPbCs2wF8tjOVv1WO45133qGy8t/Mnz+fsrKTEEIwamoCP//5zwOuxxA7bNy4kfIyp/wpZ3SRYq2Do6NnRtWvqSVvprsryI7kiTNBy4oK1tBTiZm2ivU+K5NT7I+yFDV98RH/98q7vFvTyvLlyykoKGD+/Pm+OLwlS5YYcdMPwmXRcep5FApVmzczu6QI0AsGjvIXIt4Mq2CZVW7iJtg2urhRrindgqOLG6f2DKFgjflR7KlYzb9eeI6PVq1g29YtTJ17EOVlpQCUjh/H+RdeBPj3qbISzHJjV4iwllSKvV3ZB1IF2QicIaK3t5eqTdWBAgd/IfGdozMomLnAJ262rVnhapnRRYtuNQkmbnTaG6pJzy/xEzpOogfs3VZZRWU019faWo6yispIzy+hum4Pdz75MS98tIvLLruMP/zhDxx44IEx44YyhEZlZSVlE/svcJzqyygxoSwlTgHGSqS4CZ3uTWt9bqrs40/3vdfbMyisrih9uXWZOn/yxJl0dHbywqtvcdVdD3LooYdy7rnn8tBDDzF69Oggd8AQjHBYdAYqbtra2mho3MW4sWNItI4lM4vTZvXNzZ1lc33Vizuad5KWHT5haxdc7BR709/GntDnEpNSkt5Szx/vvZOPV67g7B8s4pSzv0Ni8SQSk5J82wIUZSbji0rK94ibUD8/p9ikPjJ91pz+YgTOEFFTU8Oo7JGMGNH3BU1o2w7eAn4lOZ4siuzCYnaufZuCmbBtzQoqqjyTINS+TYNpiaCwWm6s78Fe+Iyd7Sm7rcf2bGkfyeKnNvHWp1+yZ88ezj77bL5YdgujRo0a9DgN0cn69ev5+oIj/Ja5BRnLuo00v/YPAF/8jbLg6AJGD/y14pTqDf4Bv+AvcvxicgiMl9EDi50ED0DmwpN56KX3eO72v7Bq1Srmzp3Lo48+yjHHHON43QZ3gqVqu1l01F/z/RUv/bHmVG7cRNnEUttqvNm9LWSno4mcMmrGe+b0zq2NFIzP86SWh4hdzyolWNz6WelWHCVy+kSCR3y4WY6s8T0Am9ev5eXHl7Lug//Q09PDN08/i3+8/V8yvJlT1pR1/Vw6KgA5GMot5jROz/JMX+ZWf4h5gbNr1y7OPfdcVq5cyTe+8Q3+/Oc/k5ycTFdXF5dccgmPPPLIsIxj3bp1TJ3iab2Q2FbjWdhUSf3yhwGPW0rRXF9Lgfe5qzKiwF+86PEtoYga5cpSVh1rnI0TylWmI12afypLkMwu47dPvstt/+9fLF68mGdvOplZs2YhhAg6VsPAiKa5ftFFF/ktU/E3TnE4dm4fOxeQXeE+J8uNW/CxstjoAke35Kjjugkntc3G3kx+ePYFjMgvZvHixRx55JGMHDnS8dyG/mEVMZt3d3Hxoh/x0QcfcMzxx/PYA/f45vlPr7qGP/7uXp8rZCDup1D3WV9RwdTJfc9Gq4ukJ3cCxZnJfpacmq3NzDvMMy+/N3+CnyvLTkxAYOq3LlhCQbfoOAUer63d67ed3Tb7enp49tH7+efjSznlhz/h8sU/Y2L5FN8z3Tp2fXzOFZX9hY+d4AnVyjQQa9Rgm21GnHvvvZf58+dTW1tLWloay5YtA+Chhx5i0aJFwzaO9evXM1n7MiS0bafiH7fw4FNV/PP1jWQVlVF4+CKyisr8XEtK3Eyc4v+F64+lRmVJ6eLG6pKys8iAf8NP2VRJW8WbjtsqMVSbdQgLf/Io/1jVwMqVK7n++uuZPXu2ETdhJhrmem9vL+vXr2fKlCl+y5WoUSJHR4kKJWhUBWIreuaUvsza+FIP/LWmbTu5r6yWHLdtFRmTp/LIf77kqHMu5AcX/oTXX3+dk046yYibMPPnB+7hsAPn8nlFFWmpaTzy1AsAPPznx/jR97/r205vyBgqoW7fnJDFZxu3UjJ5esD++nmze1uYmt7JzOIRvtTxmq3NHFCS4xcLE2p38GBZUaHUvlHxOWtr97Js1Raf+NCPrY6j1tVv28r13z+FLz5axV1/e5VTfnARPTnjqGhsY0NDq6u40c+pzqvWq33V/nrTT2sDUKd7Y10eSiyTIuYtOFIGFtBqbW1l7dq1XHbZ8FUOXbdunZ/al1Wv8sS/PQ/96ibBtjUrmDz5GDK8L2XZsS3850XF3Nili1uznXQrjZvFRscnbryFBkVOOek4ByOLnHJaU8fxrR/+ihO+eRq33HLLkDZTM7gTDXN927ZtjBw5kuxsf/O7k+VG1m30uYKcGliq5U59qZzcRk7p2VZ3FeDnsrLrKK4fW+37+MebuPfRJ1n5wYfR3uk+rlDzXLfstLa28sWX6/nJBT8eljFk97ZQuWE9C449zrdMF0e6W83zIx2847hyxVizqvTU86FCBSLXbG2mZmuzrbtMWXs+rKjhkcu/zbyvn8HXzjyfOgR13vGEUlNHF11K5B1QkhMQF6RniblZY5zuhVOLCjdi3oLzs5/9jJUrV1JcXExHRwff+973uP/++7n0UqdSDuHhyy/WMHVKX9E6q0jYtbuL+uUP+4SNsriolzVIWAkbO3Rxo6w1gJ/VJmR0kZNT7hE5NmJJ5JSzb+REzr3qfuYc8FX+93//14ibYSYa5vq6detsrTfKcmO13kBgSrUuYoJ1Ebc7lnq5baNQwkcXNckTZ9oeQ1/2zqfruO6u+3npX68bcTPMXP6Ti1j14UdMmDqb3o4WzjznOzz48KNcsshaXNkd5cIaKJsq1jOvfLzvfXNClu+lqG3t5lcvf8ntf1/jExG6mCjOTA7aQRw8QsJOTKjl6nVASU6AlUctG0hNnA831vPILy4he9p8Muafweotu32WGMBnjdGtMqFg3V8RqvVFF026Nai/xLwFJzc3l1dffdX3fvfu3Wzbto2cnBwWLFjAli1bWLJkCaeffnpYx7F58xYmlvYJg6f+8jog+PpXPLc4d1QK/3x9IztbBVcf3iccWuqqbMWNE07ixoqyzqTbLNNjbHozxvj+n9C23flYOeU8tOxlmlp7efqhh4w7KgJEw1zftGkTk0rG27qiFFZLjp6yDX2WGr32jR1qvV2tG2WRsbPGKNxcUMqSYw1QBujq7uG7tz7IX595jmnT+t/gzzA4cnNyeOnvf/W9391cz7YdOxg1ahTHf+s0ttRs445f38ip3/pmWMexudr/ma5wsj7UbG3m5MNLAXfLh16p2BqXE8yaYz2u0/u1tXt9oscae6O/r/jX4ySmpDLzzKH5IymUwOpQigi60Z+u6TEvcKzce++9XHHFFVx99dUsWrSIY489lqOOOoqFCxeGLbNHSkldfT2jiz31EhLatlPd5BEAr37Sw8VnKfO3e7EzJ5xSs6HPUqRbWlzHagkgTmjbTm/GmD5xk1OOADJ0yw4eIfTORxu54IILTNp3lBCJuV5bW+ub5wrlnnITPU6EYrUZCKHUzLG6q5RoWvP5OooKC2Om+nC887s/PMRlF1/AdTfczI++/10WHn0kx550GkcfeTijsoP/oA4kELmzs5OW1lZyc+ytInY/0k4/7sEaeuoix61DuHWdWu4UvKyws/gokdO4YTVlx5yFSBhaa7z1nHZp7G5CTt+/P4LGSlwJnLq6Otra2igrK+OTTz5h6dKlpKenM2fOHCoqKjj44IPDct6WlhaEEGRlZXoyqCwiQmU3/eDmO/wERsbkY3w9ovRtQwkw1lO1oa+2jX584XU5BSNh27uu65WVp6K6lrKy4GXzDeEnUnO9traW6ZPc3aB28Th6hWBwzqCyYq0irLdjsGZEqW2s4sZXfdhhvFZXVWV1DaXjxjhsbRhO6urraWtrp6y0lE8/X8tDv7+X9PR0Zs+cTuXGKg46YF6YzruTooKCkLpif2/+BJjf94NtrV4cCsFEitt+dvtbLUG6SFDWHYB3Grdx8NzpFEywF3JW6481G0tnMG0j1LicXHXqOvt7j+JK4Nxzzz0sXrwYgFmzZvHkk09y/PHH8+GH4Q0SrK2tpaiw0Pe+reJNLj6rjIKZC3it9RLGtl/j50qS3oDetoo3A45lDR7W3VfBWjDocT9WsaMIEDwuKeEKZd05dN40li9fzmGHHRZ0H0N4ieRcX3DYwT5LjV1gsVqm2jN0b1rrExm6YGlcWxVU1KjtrMvsXFPBrDZO/aMUza/9g4zJU/nqvFlc+ut76O3tDekHzhA+fvvAQ/z0kgsBmDl9Gn975lmOXXA0H63+1Lao6lBRV19PUVGh4/qhDgoOhWCWjCNL+qy2ejCzVRTox5l1wMFUf/4RBROCPzOswcT9qfPjFF/Un/voyUYb1a908bgRONXV1SQnJzNmjOcvrzvuuIMzzzyTa665hrvvvpvc3Nywnbuuro5i7cug2jLc+LtFrLzxQEZ9JYn5P7rFT3DoLRrcREwwUaOjW3WURScgI8r7rx6P42rlUWPOKWdEai9dXc7xQYbhIeJzvdD5we8mbvSA4ryZZYw/9cQAUeKUGaXjFHdjJ4ScsMbdqHO1VawntWgsXR3tIR3HMDjcKhdXb9lKcnISY0Z7noG33ng93/nBIq6/6VbuvPUmR/eRQtXKscPJbaWW19XvpKjQvxqx6pmkBIP6wVeWC70GTagF7hTqR9vN8qKwWodUIHNSQ0XfWLVrK/YKHzthUJw3iuyMxH65jxQqY8pJ6FiPadeTS3e/BRNwta3dfin3oRA3AqekpIRbb73V976srIyPPvpoWM798vPPMGf2LMA/UFdZaF79pIdDbCwlwbpzW1smWHtWOS1XjS/bG6pDcmVZUeuswueTDdu59JvnuY7ZEH4iNdfr6ur48ssvKZ0+x7fM6o4K1lTTSrAeUWDfS8ra9NJODNkJGKeeVvryNZtqmD213Fhvwkyw2JSSCeO5+Zd9jYrLSktZ+e/Xwz0sknZt4Y1/vsC88vG2FZPd3DTg/0Ouizan61XCQ7mZ3ISBQv+RV32a/Lpsa//PK51BT+4EstM9Y9CFzrq1a7jqjLNtU9ftCKUOD9gLMzf3UjBh51Yx2Y24ETiRorm5mYcffYzlb79CYlsNbe8/xMVnlXHc5RO58XfHcPVl/nVpfKKhoTogPdxqrVFCxUnYqG2cltv1lIJAV5ZOgPDxjrejs4uPPl3PvHnh8Xkbop97772XM888k/z8fN8yvXqxnbixZlANFKvFxQ43643a1208Kr5n1QOPMu/gQwY+WMOAUAIg3F3F3Sw7PbkT2LnuY/764mt88drTAevtrCDWH+cNDa0UZwYG+etds52wxtJYG2f67k1vp28bdS3JpTN8Iqe9cp1vfXLpDJ9lSh//3j3NbKrYwJQZ/kUwddeWU+xOMIK1l1A4HU+PZxoMRuAMkgceeIATjlvI5KIkEtq2+9xTn1bdiax6lYzJxwSIBtlU6RMWwaw4buImGKHs295Q7ZdKrhA55T73lZSSO5a+xiHz5zNu3LgBj8cQuzQ1NfHwww/z0XtvBsTduPWh0lOxFW5CxGqZccKuhk0ouKWVJ0+cyaat2/nDX/7Oq68HxscZhoehbLjplD3lllV19+Mvcu4pJ1KYH+jqtXOPWCsFK4EQ6thVAUCFXcCxcs+o/ly6ZUkXbErkjDy2r1RET+6EAMuNlJIH776Do477Olkj7Ctzh2LVsbrp3LCz/rhZhIIVCwwFI3AGycsvv8wNV3jKh8uqvholN3/vTG64+Xy/bZX1xqkVAvS5kgYibEKxBtm9t3YXVy4skVNOR2cXF97wKJ+u38pzzz3X7zEZ4oPly5czb948SiaM91vuZr2xYlct2Ird8lDFSyi0Vaz3xQKpmB11/NeXr+L7V97I9TfcxNy5c4fsnAZ39B/e/sRXDJRgaeOvvP4Gj935S9t12b0tXDx/PO8Wj2DZKo+o+Li6ya/vlC8mxnIeN+uNNR5Ht6Lo1X/Vdtbx6yJHHPB1v7rKVnHT2rKXX15+MfV1tdy39C+OY9IJluXl1ANLx1qDR8Xw2DFufLbvmFbX1X7VqiHS5Ofn09LS6uk99faTXHxWGa9nLOW0Ef8LaEG83nYIynqjRI7eJFMXIE6uqWAuK4XeeNMOq/tKF13q/xk55Vz/m2XsaoMVK1aQmdk//6chfsjPz2fv3r4HjV77JhjJE2eSQejWGcVghY2qcxNKdlX9iDzOvfJOnnnmWY466qhBndcQvbhVNlbrCkZmsre1b17biaEp+Zm+H3SVFj413eM2UsG+ynJiRYkNuyDj/mB3LWqsdudVYunOX13LyIw07nzmZVJSUwO2s4rMgYxNYa3hYxU5TqgsrVCEkxtG4AyS0aNHs6OuAVDtFbYw6dvFZKQf4y9uXLCKG1Xd2CpQ1DZ2IsfO1WW16FgDjoPx0fv/5fEXV/D5558bcbOfM3r0aHbs2GG7TrfeiKJJfu/1JpdDaYkJBSdxo/e/alxbRe6MiSx+4m2uvPJKI24igJPVJpyxOG5WnOKCPHbUNzjum93bAplZvi7iusUmGFaxYJvZpLmsrO6Y2tZuyPS4qayxRG7iRqVY/+e9d3l/+b95b+WHjBjpbFFS9745IUv7fDL9sp+cYnKcUsKD4WTRGYzIEXYN/KINIUT0D9IQzVRLKUsjPYhgmHluGALMXDfsD4Q0z2NC4AwVQogPpZQHRXocQ0E8XQvE3/VEkni7l/F0PfF0LdFAPN3PeLoWiI7rMYUeDAaDwWAwxB1G4BgMBoPBYIg79jeB86dID2AIiadrgfi7nkgSb/cynq4nnq4lGoin+xlP1wJRcD37VQyOwWAwGAyG/YP9zYJjMBgMBoNhP8AIHIPBYDAYDHGHETgGg8FgMBjijpgXOEKI84QQm4UQLUKId4QQU73LrxZC1HiX/1sIMU3b5wQhRIUQolUI8ZQQYoR3eYIQ4gkhRKMQ4soIXMulQogdQog9QoiXhBCj3cYbzdcS5HpsP7Nov55IEk/z3DuGuJnrZp4PLfE01+Npnge5nuic61LKmH0Bk4EW4EQgHbgOWA3MB3YAE4FU4E7gLe8+OcAu4FTv/58G7vOuOwH4FZABvARkDeO1zAIavWPPAp4ElgUZb1ReS5Drsf3Mov16zDw3c93MczPX99d5HqtzPdYtOAuBt6WUr0gp24HfAHMB6X2pXluJeG4ywMnAx1LK56SUTcAdwDnedcK7bZL3/8OZYnYk8JKUcpWUsgV4HJgZZLzRei3gfD22n5kQIpfovp5IEk/zHOJrrpt5PrTE01yPp3kOsTjXh1MBhkFRFgGl2vuv4lGSScAf6ftStAFTvNvcDSzR9kn1bpOFx2X3Nzwq9fJhvpZkIMX7/zw86vj+IOONymsJcj1un1nUXk8kX/E0z4PMjZib62aem7k+gLkRc/M8yPVE7VyP6W7iUso69X8hxBl4vgDXAkcBpwEHABXAXXjU5sHASKBaO0anEKIHGCk9qvTsYbsADSllN4AQYhGeAkkdwHHAeTiMlyi9Fu9YbK/H6TOTUvYIIaL2eiJJPM1z71jiZq6beT60xNNcj6d57h1LzM31WHdRIYTIF0I8D/wWOF9KeT8ef98yKeVq7028FkTy+L4AAA6/SURBVDjIazLbjcdPqPZPwaM0m4Z/9IFIKR/G45O8BngOjxJ2Gm9UXwsEXo8QItnhM4MYuJ5IEW/zHOJrrpt5PnTE21yPp3kOsTXXY1rgCCEygeV4TFzTpJQveFe1WTbtAfYB7cA6PMFSiulAhfT4DiOGEOJ6IcR3AbxjeRDIBWpwHm9UXgu4Xk8h9p8ZRPH1RJJ4mucQX3PdzPOhJZ7mejzNc4jRuR5uv104X8AFeIKbrMuPAGrxmDPT8ZgzX5J9vsNd3m1ygJeBm6LkWj4HyoA0PJHon7qNN1qvJcj12H5m0X49UXAvA+5ZLM7zIHMj5ua6medhuZ8B9y0W53o8zfMg1xO1cz3iN22QN/x+oBePmtdfJcAPgUqgGXgBKNL2+xawCY+p8P+A1Ci4liTgXu+XuBl4BSgPNt5ovBa363H7zKL5eiJ8L+NmnrvNjWBjjsbrMfN8yO9n3Mz1eJrnbtcTzXPdNNs0GAwGg8EQd8R0DI7BYDAYDAaDHUbgGAwGg8FgiDuMwDEYDAaDwRB3GIFjMBgMBoMh7ojZSsZCiFHA/2BEmsFDB/BXKWVXpAcy1AghjsWTmmkwAPxXSrkm0oMYaoQQhcApePoSGQwtwN+klPsGeoCYzKISQkxNJ3tdXlIJiaT4rcvIyLbdx255Zl66zZaQmR+4PCvbftus7IzAZSPSbLdNz0wJWJaZlRqwLDXNXnempQZquWTRabttQtfugGXCZhkAbfUBi2TrTttNu1saA5Z17m2w3bZ9T3PAstZ2+7na2toTsGxPh/1zrsVGwtS3Smr2SjY39xZKKe0HH2MIIRKysrL2AYwYMcJxu7y8vKDHKiwsdF1fUFDguj7YObKz7b93ipEjR7quB8jKynJdn9zrrl3lXvePfV/D9qBj6Kqvc13fut1+riv2bguc8zq7a1td19e0d7uul8CHPXuYw0jekDvjRgj8jxgj/00DByaNJMXlb9Zx6e5/k48c4z6HRo51n6cAmaPzXdcnFxa7rk/MG+26vjcz13V9u7D//dDZ0+X+m1/XYv+7oNje3OG6fssua11Ff5p2Ba/T19LkPtdbd251Xd+9exuysxm5p2aUlNL9i+VAzFlwJor5Mo2RjGUOOUljAtaPyghcBjBqVOCkzJtgP9nzJo4KXFZs/4AuGJ0TsCy/0H7b7LxAMZSTnxmwbMSIQCEEkJUV+HGlC/tJlNhWE7Asoc3hAd9UGbBI2iwDaG+oDljWUmf/ZWuuD/yS7dpt/yPVuCtQaNfvtX9+72wNXN7WBRub9tHRI+svnpfKg6s7Y/rhL4QYkZaWtgdg/PjxCOF8ORMmTAh6vPLyctf1kyZNcl1fWlrqun7MGPvvnaKoqMh1PUB+vvsPS9o+94eurNvour5709qgY2irWO+6vnFtlev6+t5a1/XbmwP/QND5tMv9hweguCedt2ngAJEtV7MnUUrZG3SnKOZ4USBXs4fjKGBqkv0fkoq5GYF/EOoUj3GfQ4Wz3MUHQN5Md2Npevk01/XJpTNc1/fkun9fmxPcRRpAbau7EN7Q4C4u1tbudV2fUO3eSSFpawh6Y6v7XO9O/tR1fW/mWHp3b6a3u323EGKqlHJD8JP6EzPuHSGEGCNmyJ1sZCKHkE7wvwgN+xeTchL5n6nJPF/RzdnTU2LPNOlFCFGWnJy8Jz09nZEjR7qKG8P+RwoJHI/H4lZK+j4hhLN5L4oRQiQcJEbJ9bRyEkVkkxzpIRmijIRRpSROOBzSc9cnTTqh38/0mBA4QojUHMb1dtJKKYeQhLuKN+y/5KUn8P1ZKXxct48FJclSxJg6yM/Pl0lJSRuzs7NJT3f/a9aw/yIQHEIOk8ikgJQ9QoiJkR5TfxBCZJaRsa8HyQkUkBobP0WGCCDSc0kqO57e+s9IHDe/X8/0qJ9VQojiTHI70slmDLNIiP4hGyJMWpLg29OT6eyRzMhL6PU28It6Ro0aJffu3UteXh4pKfZuSoNBp5xMjiCXPJKrThbFMWG1FEKUFJLSUkI6XyWHBBNTbAiCSE4nsex4ZPtuRO7kXiFESFaOWFALlyWTTi4lCPNFMIRIghAcU5LE3i4JcEakxxMMIUT+nj17GDVqFImJiZEejiGGKCCVAxnFcnZFeiihck0RqUwheKyJwaAQCYkkjpuPbGsAOD6UfWJB4NycQCLb+IxeBpwtZtjPaOuWPPFFN1NzEwGWRXo8wZBSNuTm5rJr1y66uuIu090QRtbTwic000R3SaTHEiJXtrOP/7CLXmLC6GSIAmR3G/s2vkZC/jSklC+Gsk/UCxwpZVejrBbpZLOJ9+kmeJaBYf9mZ1svy9Z2MX9MIq9v7hYyRmohNDQ0iJ6enpLm5mba2twzhgyGXiT/pYkttFNPV5aUckukxxQKUsr2StoSMkjkFerpMH+4GoLQ29ZAz8bXSSiex76tK+InBkexTX4uipjMZj6gnQGlxBv2Azbs2sc/NnTT0Jk484kvumLOpyml3NLd3Z3V0dFBc3MzMaLNDMNMJ738i52kIKiiLUFK6Z4XHGVIKeUq2SRmMoKXqacJ97Rnw/5Lb1MVvTX/hY5dk3oqX+nXMz1mBA5AlVwpOthTvo017CZ40S7D/oOUkuU1PazasY/aVpnf3d39RaTHNFCklK0dHR2JCQkJ7Nq1i337zF+4hj52081L1DGVTD6Qu2PGQmnHq7JeLCCPN9nJFoIXjzPsP0gp2bfjI3qbNiHbGkZKKd2LUNkQq5WMR46gsDkpIYUk4Z9tkpISWEzPaXnaSPtMlVSbQntp6fbbptkUnkpLt6/nkJIaWKgvNS1w2+QUe92ZnBQoXhNFYAVggIQemz/oehzcHp02FrHOPbab9nS0BC5rt9+2qz3wgdXpUIGzozOwVplTUdeO7sD70NguyU0XfLBjX4qUMm7+HMzNzZXt7e2kpTlXN3WrcqwIVkk42Ppg58jIsP/eKUJJeXe7RoBEaT/XfTjMQ0XvXvfiZQA9ze7W4c4m93O0B6nw2rrb3cW+K0iFWgls7e1gAfk8LbfHnIXSCSFE3ljSGnISkkhxyQLOS3EPwE8f5T6H0nPd5ylAWo77dyExSNXuhKzA4q86vWnuwdXdIdQDautxr+3Y3OH+XWlqc4/za7ArF6/R2ho8TrC9xX2ud+11LwTYs7cekVlIb91nAy5mGZMCB0AIkQjcBDwXhsOfBjxrjhtTx+0Avial/NMQHzfiCCHGAhcTns+iP4RrPsTK+aNlDIdLKX8b4TEMOUKIZOBGIn9/o+EzNmPw9KI6ajDP9JgVOABCiA+llAeZ45rjhvO40UA0XFukxxDp85sxhJ9ouDYzhvgZQ0zF4BgMBoPBYDCEghE4BoPBYDAY4o5YFzjhircwxzXHjTai4doiPYZInx/MGMJNNFybGYOHmB9DTMfgGAwGg8FgMNgR6xYcg8FgMBgMhgBiXuAIIS4VQuwQQuwRQrwkhBg9RMc9TwixWQjRIoR4RwgxdSiOqx3/PSHEVwd5jBOEEBVCiFYhxFNCiOAFUfp3/EGP0XK8sNzTcM2BSON0v4SHe4QQzUKI7UKIi4ZhLH5zYTjHEO55HsL5fdc+3Pfebg5E4vMfTsL97O3nWIb0GRjC+SI61y1jGdZrt5x7aOaAlDJmX8AsoBGYD2QBTwLLhuC4k/Hk4J8IpAPXAauHaMwnAH/EU7Prq4M4Tg6wCzjV+/+ngfuiaYzDcU/DNQci/XK7X8D5wGfAWGA20ADMC9M4bOfCcI0hnPN8INc+zPfedg4M5xiG+xXOZ+9gP/thOGfE5nqkrz1ccyDWLThHAi9JKVdJKVuAx4GZQ3DchcDbUspXpJTtwG+AuUKI3CE49uFAEp4PcDCcDHwspXxOStkE3AGcM9jBeRmqMeqE656Gaw5EGrf79V3gLinlNinlGjyi7uwwjcNpLgzXGMI5z4Nhd+3Dee9t58Awj2G4Ceeztz+E4xkYjEjOdZ1IXLvOkM2BwN4BscXDwCPgKfUNnAusGILjPgf8S3t/INAGuNdpDwEp5a8AhBDHDvJQc/D8Naf4HCgSQmR5f+gHzBCOUSdc9zRccyDSuN0v62e/FhjKz8qHy1wYrjGEbZ4Hw+Hah+3e4zwHhnMMw03Ynr39IUzPwGBEbK7rROjadYZsDsS0BUdK2S2l7BJCLMJjpj0V+OsQHLdOSrkZQAhxBvAicK2UwZrhDCsjoa+tupSyE+jxLo86wnVPwzUHIk2Q++X32QN7Gf7PfbjGEG3zfNjuvdMcGM4xDDcx8uwNF9E21yPCUM6BmBA4QohfCCF6bF5LAaSUDwMZwDXAc8LT02RQxxVC5Ashngd+C5wvpbx/qMY7ROzG459U50zBY5EL3lEwQgzmngZjoHMg0gxwDvp99niue8Cf+wDn65COIdTzRME8H67rBhy/M8M6hnAQrmfvUI0hHOcLgWib6xFjqOZATAgcKeVtUsok6wuoEkJ817tNO/AgkEuIitfluD8FluMJXp0mpXxhKMYrpTy/P8cJwjo8AbaK6UCF9z5EHUKITAZxT12Oe/1g5kCkGeActH72M4BPh3oMQebrkI6hH+eJ9Dwfrut2+84M2xjCRbievUMxhiF+TveHaJvrEWEofytiQuC4sBO4VghRJoRIA64C1kgp3fuwB+dcYIeU8kfD6fvsJ88BRwghjhBC5AC3AU9EeExuhOuehmsORBq3+/U4cJUQIlcIMd+77dPDPL7hGkO0zfPhvPdOcyAaPv9wEQvP3nARbXM9UgzZHIj1IONH8ajcFXhMeyuAM4bguHOAo4QQVp/fJCll9RAcf9BIKRuFEOcBjwEFeB5wt0d2VK6E656Gaw5EGsf7hSewejZQjcesfYWUsmKYxzcsY4jCeT6c995tDkT68w8XUf/sDRdRONcjxZDNAdOqwWAwGAwGQ9wR6y4qg8FgMBgMhgCMwDEYDAaDwRB3GIFjMBgMBoMh7jACx2AwGAwGQ9xhBI7BYDAYDIa4wwgcg8FgMBgMcYcROAaDwWAwGOIOI3AMBoPBYDDEHUbgGAwGg8FgiDv+P8JzO9ieQfNXAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "perc_diff = (raintot_diffs_time_mean_landmask/raintot_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-25,26,2.5)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "contour_plot1 = ax1.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "perc_diff = (etran_diffs_time_mean_landmask/etran_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-40,41,5)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "contour_plot2 = ax2.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "perc_diff = (lh_diffs_time_mean_landmask/lh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-15,16,2.5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "contour_plot3 = ax3.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "perc_diff = (t2_diffs_time_mean_landmask/(t2_400_time_mean_landmask-273.15))*100.\n", + "levels = numpy.arange(-3,3.1,0.25)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "contour_plot4 = ax4.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "perc_diff = (pblh_diffs_time_mean_landmask/pblh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-20,21,2.5)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "perc_diff = (prw_diffs_time_mean/prw_400_time_mean)*100.\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax5.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax6.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)#h_pad=7, w_pad=3)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-40,-20,0,20,40])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-3,-2,-1,0,1,2,3])\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "fig.savefig('png_files/FRACTIONAL_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/.ipynb_checkpoints/gp3_YSU_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR_NOT_ENSEMBLE_MEAN-checkpoint.ipynb b/.ipynb_checkpoints/gp3_YSU_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR_NOT_ENSEMBLE_MEAN-checkpoint.ipynb new file mode 100644 index 0000000..accbb5c --- /dev/null +++ b/.ipynb_checkpoints/gp3_YSU_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR_NOT_ENSEMBLE_MEAN-checkpoint.ipynb @@ -0,0 +1,1557 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:07:29.250408Z", + "start_time": "2018-08-15T03:07:26.984288Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import matplotlib.colors\n", + "import pandas\n", + "import matplotlib.patches\n", + "import netCDF4\n", + "import glob\n", + "import cmocean\n", + "\n", + "import mpl_toolkits\n", + "import cartopy\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:07:29.265297Z", + "start_time": "2018-08-15T03:07:29.259554Z" + } + }, + "outputs": [], + "source": [ + "run_info = 'FMAASO'\n", + "skip_time = 24" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 400 data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:07:29.534967Z", + "start_time": "2018-08-15T03:07:29.273562Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "wrfout_d01_1979-01-01_00:00:00\twrfout_d01_1979-01-07_00:00:00\r\n", + "wrfout_d01_1979-01-02_00:00:00\twrfout_d01_1979-01-08_00:00:00\r\n", + "wrfout_d01_1979-01-03_00:00:00\twrfout_d01_1979-01-09_00:00:00\r\n", + "wrfout_d01_1979-01-04_00:00:00\twrfout_d01_1979-01-10_00:00:00\r\n", + "wrfout_d01_1979-01-05_00:00:00\twrfout_d01_1979-01-11_00:00:00\r\n", + "wrfout_d01_1979-01-06_00:00:00\r\n" + ] + } + ], + "source": [ + "!ls /beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYJ_scheme_10days" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:07:29.565007Z", + "start_time": "2018-08-15T03:07:29.537851Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYJ_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:07:38.372992Z", + "start_time": "2018-08-15T03:07:33.206215Z" + } + }, + "outputs": [], + "source": [ + "cont_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:07:46.252631Z", + "start_time": "2018-08-15T03:07:38.381838Z" + } + }, + "outputs": [], + "source": [ + "rainc_400 = cont_mfds['RAINC'].values\n", + "rainnc_400 = cont_mfds['RAINNC'].values\n", + "qvapor_400 = cont_mfds['QVAPOR'].values\n", + "lh_400 = cont_mfds['LH'].values\n", + "\n", + "pblh_400 = cont_mfds['PBLH'].values\n", + "t2_400 = cont_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:07:47.331648Z", + "start_time": "2018-08-15T03:07:46.261367Z" + } + }, + "outputs": [], + "source": [ + "ecan_400 = cont_mfds['ECAN'].values*86400. # mm/day\n", + "edir_400 = cont_mfds['EDIR'].values*86400.\n", + "etran_400 = cont_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:07:48.482475Z", + "start_time": "2018-08-15T03:07:47.334610Z" + } + }, + "outputs": [], + "source": [ + "time = cont_mfds['Times'].values\n", + "xlat = cont_mfds['XLAT'].values[0,:,:]\n", + "xlong = cont_mfds['XLONG'].values[0,:,:]\n", + "landmask = cont_mfds['LANDMASK'].values[0,:,:]\n", + "landmask_midpoints = landmask[1:,1:]" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:01:33.335331Z", + "start_time": "2018-08-15T03:01:32.397070Z" + } + }, + "source": [ + "prw_400 = numpy.load('DATA_prw_400.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 1000 data" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:07:48.500483Z", + "start_time": "2018-08-15T03:07:48.491245Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_MYJ_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout*.nc')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:07:53.916301Z", + "start_time": "2018-08-15T03:07:48.508522Z" + } + }, + "outputs": [], + "source": [ + "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:01.732247Z", + "start_time": "2018-08-15T03:07:53.925077Z" + } + }, + "outputs": [], + "source": [ + "rainc_1000 = phys_mfds['RAINC'].values\n", + "rainnc_1000 = phys_mfds['RAINNC'].values\n", + "qvapor_1000 = phys_mfds['QVAPOR'].values\n", + "lh_1000 = phys_mfds['LH'].values\n", + "\n", + "pblh_1000 = phys_mfds['PBLH'].values\n", + "t2_1000 = phys_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:02.781817Z", + "start_time": "2018-08-15T03:08:01.740833Z" + } + }, + "outputs": [], + "source": [ + "ecan_1000 = phys_mfds['ECAN'].values*86400. # mm/day\n", + "edir_1000 = phys_mfds['EDIR'].values*86400.\n", + "etran_1000 = phys_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:02:17.264099Z", + "start_time": "2018-08-15T03:03:23.232Z" + } + }, + "source": [ + "prw_1000 = numpy.load('DATA_prw_1000.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# get time stamps" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:02.805625Z", + "start_time": "2018-08-15T03:08:02.790625Z" + } + }, + "outputs": [], + "source": [ + "time_datetimes = pandas.to_datetime([i.decode('utf-8') for i in time], format = '%Y-%m-%d_%H:%M:%S')" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:03.089951Z", + "start_time": "2018-08-15T03:08:02.813934Z" + } + }, + "outputs": [], + "source": [ + "skip_time = 24\n", + "n_intervals = 8\n", + "hour_strings = ['00','03','06','09','12','15','18','21']\n", + "\n", + "times_00 = [t.hour in [23,0,1] for t in time_datetimes[skip_time:]]\n", + "times_03 = [t.hour in [2,3,4] for t in time_datetimes[skip_time:]]\n", + "times_06 = [t.hour in [5,6,7] for t in time_datetimes[skip_time:]]\n", + "times_09 = [t.hour in [8,9,10] for t in time_datetimes[skip_time:]]\n", + "times_12 = [t.hour in [11,12,13] for t in time_datetimes[skip_time:]]\n", + "times_15 = [t.hour in [14,15,16] for t in time_datetimes[skip_time:]]\n", + "times_18 = [t.hour in [17,18,19] for t in time_datetimes[skip_time:]]\n", + "times_21 = [t.hour in [20,21,22] for t in time_datetimes[skip_time:]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PRW differences" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:05:23.557774Z", + "start_time": "2018-08-15T03:05:23.354091Z" + } + }, + "source": [ + "prw_diffs = prw_1000-prw_400\n", + "prw_diffs_time_mean = numpy.mean(prw_diffs[skip_time:,:,:], axis=0)\n", + "prw_400_time_mean = numpy.mean(prw_400[skip_time:,:,:], axis=0)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PBLH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:03.797688Z", + "start_time": "2018-08-15T03:08:03.098908Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:11: RuntimeWarning: Mean of empty slice\n", + " # This is added back by InteractiveShellApp.init_path()\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:12: RuntimeWarning: Mean of empty slice\n", + " if sys.path[0] == '':\n" + ] + } + ], + "source": [ + "pblh_diffs = pblh_1000-pblh_400\n", + "pblh_diffs_time_mean = numpy.mean(pblh_diffs[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean = numpy.mean(pblh_400[skip_time:,:,:], axis=0)\n", + "\n", + "pblh_diffs_landmask = numpy.copy(pblh_diffs)\n", + "pblh_diffs_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_400_landmask = numpy.copy(pblh_400)\n", + "pblh_400_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_diffs_time_mean_landmask = numpy.nanmean(pblh_diffs_landmask[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean_landmask = numpy.nanmean(pblh_400_landmask[skip_time:,:,:], axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# LH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:03.893485Z", + "start_time": "2018-08-15T03:08:03.806361Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "lh_diffs_time_mean = numpy.mean(lh_1000[skip_time:,:,:] - lh_400[skip_time:,:,:], axis=0)\n", + "lh_diffs_time_mean_landmask = numpy.copy(lh_diffs_time_mean)\n", + "lh_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "lh_400_time_mean = numpy.mean(lh_400[skip_time:,:,:], axis=0)\n", + "lh_400_time_mean_landmask = numpy.copy(lh_400_time_mean)\n", + "lh_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# RAINTOT differences" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:04.671354Z", + "start_time": "2018-08-15T03:08:03.902667Z" + } + }, + "outputs": [], + "source": [ + "raintot_400 = rainc_400+rainnc_400\n", + "raintot_1000 = rainc_1000+rainnc_1000\n", + "\n", + "raintot_400_diff = numpy.zeros((raintot_400.shape))*numpy.nan\n", + "raintot_400_diff[:-1,:,:] = numpy.diff(raintot_400, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "raintot_1000_diff = numpy.zeros((raintot_1000.shape))*numpy.nan\n", + "raintot_1000_diff[:-1,:,:] = numpy.diff(raintot_1000, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "# monthly mean\n", + "raintot_diffs_time_mean = numpy.nanmean(raintot_1000_diff[skip_time:,:,:] - raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_diffs_time_mean_landmask = numpy.copy(raintot_diffs_time_mean)\n", + "raintot_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "raintot_400_time_mean = numpy.nanmean(raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_400_time_mean_landmask = numpy.copy(raintot_400_time_mean)\n", + "raintot_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# T2 differences" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:04.767818Z", + "start_time": "2018-08-15T03:08:04.680103Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "t2_diffs_time_mean = numpy.mean(t2_1000[skip_time:,:,:] - t2_400[skip_time:,:,:], axis=0)\n", + "t2_diffs_time_mean_landmask = numpy.copy(t2_diffs_time_mean)\n", + "t2_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "t2_400_time_mean = numpy.mean(t2_400[skip_time:,:,:], axis=0)\n", + "t2_400_time_mean_landmask = numpy.copy(t2_400_time_mean)\n", + "t2_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ECAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:04.993269Z", + "start_time": "2018-08-15T03:08:04.776428Z" + } + }, + "outputs": [], + "source": [ + "ecan_diffs_time_mean = numpy.mean(ecan_1000[skip_time:,:,:] - ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_diffs_time_mean_landmask = numpy.copy(ecan_diffs_time_mean)\n", + "ecan_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "ecan_400_time_mean = numpy.mean(ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_400_time_mean_landmask = numpy.copy(ecan_400_time_mean)\n", + "ecan_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ETRAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:05.113853Z", + "start_time": "2018-08-15T03:08:05.002125Z" + } + }, + "outputs": [], + "source": [ + "etran_diffs_time_mean = numpy.mean(etran_1000[skip_time:,:,:] - etran_400[skip_time:,:,:], axis=0)\n", + "etran_diffs_time_mean_landmask = numpy.copy(etran_diffs_time_mean)\n", + "etran_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "etran_400_time_mean = numpy.mean(etran_400[skip_time:,:,:], axis=0)\n", + "etran_400_time_mean_landmask = numpy.copy(etran_400_time_mean)\n", + "etran_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# EDIR differences" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:08:05.234127Z", + "start_time": "2018-08-15T03:08:05.122758Z" + } + }, + "outputs": [], + "source": [ + "edir_diffs_time_mean = numpy.mean(edir_1000[skip_time:,:,:] - edir_400[skip_time:,:,:], axis=0)\n", + "edir_diffs_time_mean_landmask = numpy.copy(edir_diffs_time_mean)\n", + "edir_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "edir_400_time_mean = numpy.mean(edir_400[skip_time:,:,:], axis=0)\n", + "edir_400_time_mean_landmask = numpy.copy(edir_400_time_mean)\n", + "edir_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:13:23.804748Z", + "start_time": "2018-08-15T03:13:23.327435Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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/AF9VuO4HTPN/ftTfPgSY5g+EPws4t47mqFINPgSDU6O5+v4WLP2ucgClwvVLcNkKCNHrKfZp0fYcQqi3FFduFvklTrLcGiKatQW3E4NWy4FfvsDl9eLzuAixxBGi15H+4etsf+VehEZD0c4NuIttDJ+xBlAiRn46OJmUWx8nb+EsHpPJdHhlHO9+MpYPX7ubf8bOwCUF2w9YyZr1sTJftxuXLR+Ny4HTaKbHObfwnEH5kRcz803SJ7/A6oeewVbq4tDgu2j16Hvc2u4sACZEJLLswYmMGDaKr89x0OKRNxh/z4sApGQvBmDS+pXAYfdIFZUjEaDRBVaChICjSQohbgFaA28A/wJ/A32A5cDdKCmlnpRSrvX3zwSSK2QaLxvnTuBOgOTk5LP37j2hROn1mszM/Yxq043rf/4RgBvPVTLG5x08iCcvC2NsIzRI3BJy50wjdugINC6HklhYq6Vg8yoKE1vTJMrsTzaswessRWsMwessJS3fTsSGhVh6no/eHIEPQZHDSVZhMW0TY/E4ivHojOy1FvJQt958POlZYi68Huw25eRrQhMc6ZvZHRJH4p7VeB12cn6ZwbWLdOWCuDqzysql0+jWawSgCGzr2c8DsGXxvYSN/JPGG/4kdvOEI+6b8NLt3PP0lPJr1QYfXJxoNElTeIpsevZTAfXd+tedQRFNsjZeNCagJYpG3w4lj+BoFFcOT4V+nqrCHUBKOVlK2VVK2TU2NrYWj1cpo+j3r3jn0xcYYNExwKLj6ZmLAHB7vGiiGyJ8HoRGi15Ao8tuQysEX2/OxKszlGc90sz/HKHRKoeWfMrLXvp8oDdiydjAu76WjF+XqYQv0Aj0Oi1N9W7sWXvR6A0Ur11MjNnE3H07iDvvcv5Ny1ROvdqUTV5XbhYp0ZFYug/gmp3NafnEuzS3rmXWnq1HtZl36zWC7H0LyN63gMUlVrYsvpcti+8FwP7JedgPbeCtey444r6Kwl1FpVrqyERzvD1HIcRIIcQeIcQOIcRAf120EOIvIUSGEOIrIYROCHGJEGJbhZIhhHjI37avQv1btVlubQR8AXBQSrnIb475EWgF7AcS/QvRA6W1mZBK4LS5bQzR3QZiN1uYsMMGQFLqJWQXFFG8djEanQFnQR4+BD6PC7fXS89/P2X/oUJcXi/m9j2IHTgM267NePKy+HlTOh6HXYk06XYS0/08Xu7fnAf6tKPMx/7QnKnseu8JTHEJaHQGjLGJhNjysBbbySrxcF6rJqzZm03OnOkU7VjPi9Z4Jne4ALdGx4f736Zh284sLrESExdXvo7P2+eWf25uXXtcM8u+XT/S/Y2vWVxiLS/V0f/N+dXWq9RThAapNQZUAuCoe45CiDhgDNARuAD4wN/0DPC9lDIZZe9yuJTyZyllaylla6AzSgLv6UAj4M+yNinlw7VZco0FvJSyGNgthOjurxoErATmAjf4625AyQSucpKxNGlKqO0g93WI47Mxykv+rLYtiek+AJfXi7GBkorOumIhpS4PKSOfwmLLxqDVopNeXNYchv7uwW3Lp1NCNPucAo3eUB51Ums0kTHtNbILinB5vbz36Gf88lU6Di9Yi+14nQ5CGyYRFaInr9iBdfVfAJhbdWL3h8/T78l72EcpY1r15pxJv1aae5mWfv6v68vr0ixdamVaqXiPXmjQvPBNjcdQCW4kAqnRBVQC4Fh7jgOBuVJKm5RyD5AjhGgFDAY+9/eZgSL8K/IIMMOfcDsZRdifELXdTbgVmCqEiAKWAZ+gmGeGCiHS/RMbdqKTU6kde//6haj2PU71NFRUTi8EyLpLup0MZAJIKV1CCK0QQuM3S5e3+ckCGgJRUsrCKnXK1IQIA24GOvmrmgCDhRCXAbnA3VLKrTWdpJqyL0jIzsrGvWtDeRCvJv2HYLNasTtdhOh1eKVk/b4cOseY0YWGIX1eXFKgcRTjM5n5e0BfekydjPR60Tdth1YjCNHrFC3e4wK9kf35Njwz32f0i18w8Y3RhA29jUitckgqf/1SRNseNNBrWJaZRwdsGBrEYIxSTt5GxsYda/p1Rt9QCxNeuYsL31JCBGfvW/CfPFfl5HOim6whkc1lcu/ATNk7512+F8irUDVZSlnuKi6E+AV4TEq50X+9R0qZ4v/8KOCQUo73X38JTAS+llI29te1ACZKKQf5r0cCKVLKZ/zXg1DMNNNRNP1XpZQ1PuihhioIEhISE/jWFoptw1JsG5YCYHe6CDMa0GoEBq2iuWj0eiXUrk5PiF6vRHYsyOUxzXmEN23NNkMs2uJ89loLWbknmx837MKt0eHOzyXBqGFGi8v5YeMSQhql0kCvoQQdpWgxd+lLuM9FWr4d09v3kG6wsK1EEhkb958J9zLKhDtAQuNB/+mzVU5nBD6NNqAC5JU5g/jL5CqDHWvPsbzNTyKQAdiFEKFV6sq4Ffi+wvVSlLNGPinlPCBOCFHjZMmqgA8C8nancShzL60tZuLOv4bBb60GFKEPileMy5ZPt5REvwukg7K4NWU2+oSbr2bbwUK6J8dRtH0tYQY93VISGRzhZktWHl+mHWLri6MYOv910j98BlNSMw463GTmF7EuMwdPzj5Kc7OICg2hzdiPaBXio1/ndv/5d1HmmaP6w6tURQpqIuCPx7H2HH8HLhZCmPy2d7OUMgOYh3IoFGCEfwz8Qr+xlHJ9hTHeAu7xt/cGdstamFuCx6Nfhd5J0Rz880fWr/iM/KxMohKTiLD4N1lL7JR5wmiNIbhsShiC/FI3+998hI8e/ZB/9+Zg0muJio7HVGKlwGigQbN2tHW76RgXjuj8CT63m5LsPYQ3bU1IsY2ExBh+27IHV/EBIjv0xLNxGQ4gZcAlp+x7UIW7SnVIIXDr6kzkzabKnqMQ4lVghZRylhBiArARxY38Vv89LwPfCyGeRXkh/OCv7wZsqDL+C8DXQojRKDb422szSVXABwExTZuTtzsNvTkCY3xjxWZeBb05nMPp9gSGiCikz4vFbMB3xa1Em40s3FPCQPtSfg1rzkWNE/BKH6VuN3lFJazdn8clHVLRGk2EJaVSsG0tPqeDyNZd6N8iCWEPR4MsT5x9qmhuXavGpFE5CgKvpm6MFn5tuqrQfaJC+yRgUpV7coH+1Yz1F/BXlbqs6vrWFNVEE8RkZ2Wf6imcFvQNtZzqKaicBkgBXq0IqAQLqgYfJMQ0bQ6AOLsf0ucrT9Fns1r9USZj/OGEy1C8X+xOF8VbV1G45i/MycNo0Hsw0dszMGu8SK8PvV5HVGkBXRvHUpKTifT6CEtMpmjzchKG3IQjJ1NJvB3fGE+JndDEJqdg9UdHNdeolCEBryZ4hHcgqBp8kFGWEMTt8RJmNFRpq6jJKn/oYUYDTW99nOhzhvDqhe15uUU/mlkiWH7DYPTmcGwOJ3smjSUkcys+ZymhDZOwOZxK7BpjKEUR8VgjEliXV4zHUYzP7cbnrj4Z+H/F6jmvln9Os3RRTTYqCgK8msBKsBBES1EpIzI2Do2mLO3e0TbeZXnxedyY2/dg831XcPcnjxBr20+3aT8DAk3uPiZP34w5pQ0aYwgTlm4lwmQkuvdgtBoNyzMO8vGaDDo0UuIKOXL24cg54QN4tWZxiZVrew2muXUt3w708e1An+oLrwKUafCqgFcJAkIM+mrrD2vxgsObroDdhnj8Y3QR0eRGNKJDv1F4nQ70EVG8vuYXnAV5hFjiuWTvAhKf3IAuJhGfx0VDcwj3h2SgcRQjfV7MTVpgbtLipK/vWCwusTJz3WJiB15G7MDLjn+DSv1AgFcfWAkWVAFfD7BZ847fSUWlPqAJsAQJQbQUlYpoRWUNvaKQL0vtB1Dq9iA1OgwRDWgeF4UrN4s8u4NF4y5nTJtzWXXr5TiNZkyJKdh2bODppz7lV+dLXJHShhkbdtMjJYGDzXpgiGiAzmSmJGsvJVmnPsZ/72n7ueOuF7jjrhdO9VRUThcEqoBXCQ7+vbQPNsfxIjZLQvQ6tBpBxjcf4PNJTCmtue+p7axq1J2eM6cTNWEWtnnTKT2wjxsvvIHXJozhyW+VA3ctP34YodGSGhuFzeHE4yhGYwwhsUvPk7/A45D28vlHDSXcN9Siuk7WU4RGBlSCBVXABylDl24nKamRkrzDb2+vaqop87gBiOjch/wSB8tu+x/fDFpK0xkvcE2Xltx6x0yel135qM9NDPhyJrdmtcXafRwAz87ZweuLNuL2eDHotGgqJBJRUTntEKDRBFaChSBaikp1KIG+DnvTVE3OXSbkfQ47FnMo3Se+jXS78TlL8fp8jHymH3+/MI7JEYkM+P4Zspf4yN81g6d7K3Fu1h1wozmQjucUes7UlGMlCVEJXgSg08mASrCgCvh6QIQlBrvT7dfmqye6yzlo83M48ONU7Lu24czL5+dN6cy++nKus2Wy9NPRXPe3EeeaN2huXYvpzRmkWbpQOOY6QhObYE5qiiEyCkNk1H+4MhWVGlAPNXj1JKuKikq9QADaIBLegRDwcoUQlwkhxlWpGyKEWFrh+hl/0tiNQoiOdTlRlRMjITFBOX1aTSjUMjONPj6J1CcnYulzIWMX7CHh9TsB2CdLOPTPXD7+7g0eKMoCYMfgYWj1JsYN747OFEaGtfCIcf8ryjZN14y9s/xz31ALCY0HqRuqKuUIIdFqAivBwnE1eH+Q+bdRYh5/WqE+HHgFf6B7IUQn4GIgFTgbeJ/KeQpVTjGVQxVUbfPHqtFq0ZjM/LBxCdfMzoC/rmP8vz9yTY/z+ezs/twRnsh5Y99n2uhrWTn/K0IaNgYEyZbIY5qAThbPRbYNqF/FxB/qydb6SzCZXwIh0OX+AXxVpe41YHyF6yHAl1JKj5RyOdC4QvYSlTMA5QUgSbjgajQ6A+/r/+blYR04a8ijAPx7z/NMaZLJsHf+Rx99HLZNy7EWlzBz3U6cBVYcuVk4crP+83mvH/EdAPe/PpPFJVY++ewV0ixd+Gl4YrWxaFStvn5SZqIJpAQLx9Xg/XGP5wghYoDWAEKIfkAIiuC/w981GSWTSRk5QCxQ6dSLEOJO4E6A5OTkE5y+St2jHI6SPi+hqe0oHXATYckZHJy3gI+3ToE86KqPxQDE9h2C1mji3OaJOISGcFMYAAe2rKNh284nPJOKQvhoXi/PF27heYCJ1nLBvbjESvY1dwEwv/ELnP/K30cdX/WmqT8IAfog8pAJhBq/q4QQISimmTFVmiTgqXLtrXq/lHJyWZ7D2NjYmj5e5aSjuFRal83Hvn0tTWOjWP1AJ74YtJ+clsNJs3Thm4gkQj6bSOEWJTWgxRxKXnEJjpxMnAWnV1iE9v97lux9C8oLoEaXrMdoRWAlWKiNF01zIAX4F9ADiUKIWcAqKieajQYOHnG3isoxKNPaxy1dXG19XWvcZbZ51S4f/AgRXOaXQKjxcqWUm6SUSVLK1sBAYL2U8gqUBLLXCiE0Qoj+wE4p5ZG541ROewZ8tJbITr3Y3fNacudMY1VGDq81G0GRdRPnPPMY/3x0O+9/J9nWIJWSA5nYnW6STRp0YRGExicRGp9UqwBnv/Zrc0Tdld/PZuIbowO6P5ADTK0OrSOyYW+e7Z9USZNPaDyo0kasSnBS3/zg62wpUsp1wGIgDXgHeKiuxlb57/A47Ew1LeDqrgN5c9D5ACTvXUXOA9cRGpkKj4zklqvvQVh8nBWh5Zoe57P9oavwOh2EWOLqbB4jR34JwKI9Ds4f9w9pli51or0vsuexbeULnP/reppb1x6R8cl818ITfobK6UmZBl8Xm6xCYaIQYq8QYpkQIqlK+0ghxB4hxA4hxEB/XbQQ4i+/K/lXQgidv36CEGK7EGKbvxiEEEYhxA/+vr8JISJrs+aABbyU8jMp5eNV6vZIKXtWuH5OSpkqpTxLSplWmwmpnFp0pjCceYdzue775nNuu+kRHmoRzadddtDza0XwtvvkGq4661zee3QYtzV9nqvOOpdDa//F5a0Y+6ZmArnFQ08wZ+9Wnu2fxNi3LwdgxauvASfHhFLmYXOBLZ0HirIoGvJkpfaExoPY9fOX7Pr5y3INX9Xyz2zqUIO/FMWJJAVFoX25rEEIEYeyR9kRuAD4wN/0DPC9lDIZKASG++tqq4DbAAAgAElEQVRbAe2llK39xQWMAnb7+y6klgqzepJVpQqClg++yfQBw0if8BIhDeOZ9uCzaPQGVhobcVnOOt7ymzaus2Vy8SfpLB6fxa3A88MeIg4DT6UvplIykQAxJTXDkZuFqVFDsoudJ30ztOpL47GT+jSVU40QYDjynF9tGQJMk1JK/x7k6xXaBgJzpZQ2wCaEyBFCtAIGA2UK8QzgLpSzRUYpZdU8l0OARyr0/Rp4rqaTDCJrk8rpSE21+DMBVYs/MxHUSIOPEUKsqlDurDJcMpAJ4Ne4tUIITdU2P1lAQyBKSllYsc5/kDRFCPGvEGJzhedUHKPs/hqjavAqlYiwWLBZ84ju0ofoKfNYe9/lmDr1AWs27/dQbPLNgSkfP8/tdzwHJNFveiOkpQtY15IGXNy4FXP3bacmWvyWKeOI7j2YA3Om0aBLL7o3iqa5dS33p0SfjGUGRPa+BUcV5urJ2DOTGrhA5kkpux6jvapbuEdK6TtKW5nLuLuaulAU7fwVQAv8KYRYWWWMal3OA0EV8CpHUBabxma10vqZD3Hu3kyD1l34escGrMUlNIkyc0nT9gA0t65lv8uFo8oYXmcpWmMIoBx8Co1PqjL2YS8bl60AgGU3Xk3vXxezbcx1vKs9B4BnYx8G4KqTs9QjeCmyLd89/B4A6589v9o+Q156nF+ePhyWST0wdWZQx26S+1HcwjcKIfT4Q7ZUaGtf4ToRyADsQohQKWVJhToX8KyUsizkyzygXYXxt1foW2NUE43KUYmwWDDFJqILNVO0exsGnZaEBuGUWnN4YWhLhocrB9W825UQRRVt5tLnxeOwHzGmzZpXrdkm6Yrb6T51OjueHkHR7gMsffk1Rvw0h68nDWTLX6PqdF19Qy2k/fg5qU8sIGv9SrLWrzzuPWUeN/98dDs7/ndtufdNRS+cvqEWnvj+TzUUwmlMHW6yzkWJz4X/v/MrtP0OXCyEMPlt72YpZQYwD7jW32eEf4yzUbR2vT+0ywCUM0UVx7/Ff11jVA1e5ZiU5W/NzsrGICQeoaVo12YSX/2KnP15pKQVcuC92XS4/w7ebZTNrTcoAq9g4wqiup4LgC4mEZetAENEFGWJR3weNznFpRj3biKsSUsAnNGJtHnmI34+ZzCzrmqAKSmmuimdVJ4u3MLTFa7LzC9bp77BgXk/kDHtPVVbP0PR1O0m62xgqBAiHdgHDBNCvAqskFLOEkJMADaiaOi3+u95GfheCPEsygvhB/8m7Z/ADsAOTJBSbhNC7AW+EULs8o9zfW0mKZRQM6eGrl27ylWrVp2y56vUjsLcg0xduYPburXknuY9aDBxCpsP+PgweiN33l3uLcZnM94nqksfdCazv0ZS0S7v87jwlpaiCTWD28n2caOJGP0WsRo3ae+MoendL9RJTBuV4EAIsfo4dvFjEpncUvYeMyGgvvPuu+CEnnW6oGrwKioq9QI14YeKSgBExsZxQ2okS3ZnkYKJh2MKeTVjEgd+nkHLiTMAxR5/y7X3UZpbdmjqsPbudTqw7dqMp8SOLjQMrUaD1hhC6r0vE6tx89Bf+3AX2kh7W/VMV6lDAgw0FkzBxlQBr1Ir4lt3IHXnPxRN+gDL2f1o8uh4DDHR/PL0ONIsXWhuXcva4d9RsncHxZnpeJ2lgMRly8et0VG0aTlXtOvB0CZtcNnyASVMgrvYxmOOf2g8/L5Tu0CVoEONB6+iUgNa3Xgv75VdWK1Y+gzmxau7c07GP2jNVzM/0oihzQDMYSYAHLlZGCwNKdm2hs8enFo+TtbsqaQMfwhzUlMKtqxG+rzYNixh/Hfb6DPlv1+XSvASTIHEAqGeLVflZBFhsdB6+P3cPqgXmv5XEZbanuvbJdEgLASQRFgsxLfugFajoXDdP3SyKOc2Rv3yKwWrlwDQf+JaGrQ9G0N0PI+O/YICr7NSjtW+oRbSf/0O697d9Hl9vppzVaVGKF40IqASLKgavEqd06pZU6BptW0RFgshjVLZYlX+9D4acpHSMLMVZmDhzGje2n7ov5moSr0jiGR3QKgavEpQoGrxKsejLsMFnykE0VJUzhRaXHkro+Z/VG3bW9sP8dqIXgCMjI6plNkpzdKFEcNGcffvu9g1/jX++fDWasdQUTka9c2LJmATjRDiMqCXlPJxIURfYArKxvTfKGEvfcCHKGEus4GrpJSZRxtPpX6T1L0f45Yu5vFefY9oe2zaUgA+OZQHFdrLwgK81tTOsi9fZc+bo5j6xZtMk9Wbg1RUKiIQaDVBJL0D4LgavD9zyTvA5ArVE4AbUQLVhwJXcowA+Coq1XFOp7bc0yiah1tFk2bpQhd9DNPnfEYXvRKi4GC/yTyQemQ0yUeuHE2D50YQNe5r+t3/JV8/9xVfP/fVfz19lTOM+miiCVSD/6Psgz9+8UEp5Sr/9RKgNZDE0QPgq6hUy3U7dwJwuf+6b6iF9h9/C3dcQ9zfd3KvpQtYmlQK6pXjsXNwVwh3Tcug4yOPUVByCiaucsYhIKg8ZALhuO8qqTAHWF/hehAoOQaBO4F/OXYA/HKEEHeWBdHPzc2tu5WoqKioHIt6eJK11m6S/kSynwAfSykXCiEe4egB8MuRUk7Gb+7p2rXrqYt0pnJaUh6p8UYrfUMt5Zp72enYNEsX5t3fmcHvreOjy6JJjAzj2mv8PxafqD5+u4oKKBq8rp7Z4Gsl4IUQNwFjgWullMv91ccKgK+iUmPKhH1FQd/cupbB/uOzL/5p5cFzPHBprSKpqtQzBMGlnQdCjQW8EEKHkl6qdxUvmbIA9b9xZAB8FZVas7hE0earJuHW62DKmkIWDT25/2ozFv+GK6k1AM2bNjmpz1I5uWhF/ZLwtdHgm6J4yywQh7+sD1A8ayoFwK+TGaqooAj5hMaDGPLS4yyZfpCRDzbmmg5NWZt5kLXAZb3POinPnb1kDV2O303lDKAsVEF9ImABL6X8rMKl6Sjdbj+h2aioHIPsfQvYs/BneDIcXctUtPk5dCjc5W89OQIeYJGnAew5wM3n9Thpz1D5b9AFkQtkIKixaFRUqtA31ML/GlpI/P6HI9rydqf5Uw8eJsKihkk4ExBC1DsTTT17n6mc6aQMuIStYx9l4w2DsO/aRPHWVRRvXcV4S5sTGnfz5JdpdfZjJDQeVKl+1LWPkvjWKBLfGkVh7sFq760uiXggqJEw/1uUePAioHLcsRQmCiH2CiGWCSGSqrSPFELsEULs8HscIoSIFkL8JYTIEEJ85d/PRAhxr79umxDibn9dEyHEPn/dNiHEQ7VZs6rBq5xxvLLqIP2nzyRh6yw29LyBwqtuqfNnjL9rAvMaxzH/j0lYnIWY4hIA2PbyPXR87Ut/r8OCQBHyStaq4sx0ABI7dQPgqsnz+aBPbHlfNc/sqaMONfiKJ/evQTm5PwJACBEHjAE6AtHAr0Ab4BngeynleCHERGC4EGIu8JC/rwdYKYT40T/up1LKZ09kkqqAVznjmPT+GKbeNorSEW1oOfsNmmxcCMCaLTs4q23LGo/XN9TC/pRLcBRlMjFmLwPW7eCPAT0Rty/FnLmFsE69/D0FqaNfotR6kBBL3HHH3b03A7avAsIr1S974Koaz1HlxCkLVVBHDOHoJ/cHAnOllDbAJoTIEUK0AgYDPf19ZqDE8NoEfCulLFDmKDYDzVAOju470UmqAl7ljKPt7Y/zQMfeXH/uFQA8sKAfTb+dC8DWz96mzS2Vf83+1LUlrhKJT8kxwjXbdx4xpqMok3nzJ9LYbAAkXd55G3tWBtEVhDtIzElNOWizE1LtzBTtUKPXY4pNxFmiHAV5bNc08s59noZ6idOaU977y/kzavkNqNQGARgDl/AxQohVFa4n+w9pllHp5L4QQiuE0PgPd5a3+ckCGgJRUsrCinVSypXASgAhRGegN3AH0B8YIoR4EEgDRkkpswJfrYJqg1c5I0nq3o/FJVYWl1h5N/0Q0Qe2Y1oxp1ZjHew3mfCYzoTodazNsQGC6E69CEtM9vdQBHeEJQbp8xEXYaaieaYqpthE3BKiQ0MITW5B/NDhZN9/Jb/0H0Lx9rXs+GFDreapcmIIlE3WQAqQJ6XsWqFMrjKc5Ogn96u2ScALuKupU+YmxP3AL8BIKWU+sBMYB7RDOWP0YW3WrAp4laBjQoyy4ZqdlV3tJuZvg9rz26D2NR534RXdTnhu1fFR7IltEKsEiKAmAv54lJ3cp5qT++VtfhKBDMAuhAitUocQYjIwFOgmpfzV3/6LlPInKaUEpgM1/4NFNdGoBAFlJ11HN44m158KMKHxINYsnw7AG1sUL5e5+3aw5fnbKdyys7xPc+talqWtB3ogtFos4WF4fT40SIRGW+EpStgkn9uF1ni0YyDKJqvQaDEgyd+0Aun1sveT1+n4zhfEz/uarB+m0+vdJwhr2gaNMYQf+ythFv7XoCUTC3bU9VejUoEyL5o64lgn938HHhNCvIBirjFLKTOEEPOAa4FPUTZk5wohzgLOBnpIKStq/d8JISZIKX8GLgOWUwtUDV4lKJj4xmi2vTaFcx6+gJdMjQC4pvlhpWdxiZUIi4UL3KP5+Jp3uGV7w/K2/bOnApC7eG659iY0GhSBLXEW5FGwbR1NbnvgqMJd+ry4vD6k39Cf8+ePmFPaYG7fg6LR75P7x0wSL7uNyM5n4czei8uag6fYxrBlP7LerdyzZuydrBl7Z11/NSp+lFg0dabBzwbc/pP7twHPCyFeFUJcIaXMRTnZvxGYBdzrv+dl4BYhxG4UE84PKMI9BdhUwSWyO/AI8KwQYhtwC4pXTo1RNXiVoKD9PWOV37CX96f5i4pZ5oWhikdNhw9ml/f7at3/eKPZB3w70IenyE78RWNwZKRh27kBfYNYSt0ewox6cpctILan4hNvbGDB2MDC0e3uEqHRoPf5yl8MMb0Hk7dsPtLjome3gRQmtyDvn7l4i4twOOzkLvwVU+PGRHU7lzipo0Ojw+bZ7V9+QKsb7z3Ks1RqixACQx250fhNJ1VP7j9RoX0SMKnKPbkom6cV+dhfquOEbYKqgFcJOspMNo93eYG5IztVahu6dDuvhVoQN3Sl1dPvEZaUitBo8XlclFpzMPhcgL5cuB+bytGuFeEO2fO+IWHwdUS270HRzg0U79qMxmhiw0sfMH7fIbRC8O5zwwlJSCFn3vfc9tObbHrqIaJ6D8aVW2NHCZUAqWMTzRmBaqJRUTkNWXTdOad6CkFJHZpozghUDV4lKClPHHKUtl0/f4k5uTnpn7yMpd+lRLboQGh8pdPmFO7cSGSLDhVqlE3Uw5/9n3yKd1yZBh93npKA0BgVg6ZtV6zL5mPbuJTx+w7x+Y+Hf42HJrcgNKU1PreLhgP6sGfSa8QOuIi8xcp+3YKhXRg053CqQpUTQznoFDzCOxBUDV6lXhLeqgvS52P02M/Z8vRocpctOKJP0ablOHKz8Xmqui9XRvq8+NwupM9H/qYV2HZuIOObD7i12dm80PlidOYIVkxeyYSXbickIYWwlNaEJrdAazThLshj+NBbiD3/ahpeci2m5Ba0feFjPMVqotmTQV3FojlTUDV4lXpJXMu22Kx5PDcgmYYXXXaEzd1ZYMUQk4hGb0Cj01dqcxfb0JsPhx/Q6PQUH8gktGESpoQUXAV5GBOa8PL7D5K/fCG6iCj6PXcV2T//yJq3f+SsR4ZRsHoJv/6Uwz/ugwzQx1OavQedOYLQlDaUZO7irI9+RHp9HNyxhQ0P3UjJATvx/ZUYNu5C5TBknym/ndwvKcgoO+hUnwhYgxdCXCaEGOf/3E0IscUfLe1hf90xo6upqJxOFORkA3D25J8pzd5bqS13yW/Yd28jumt/NDrDEfdWFO7S50P6fIRY4vCU2NGFhmG0xOPM2UdE+x4cWreT9AkvkjV7Fql3j8Hng3uenMRTMzfyj1uJThmpgezZX6BvEIshIoroTr3QmcIqPac6DmxZx2ORbXgsUj0oFQhCgEGrDagEC8fV4IWStultFGf+T/3VE4HrgS3ACn+wnQ4cJbqaisrpitYYQtxFN1aq00fHg8/Ll50GM2LH4mruUuLSgGJ3lz4f7mIbptgEnAVWRHgUh5YsxOew0/u739nx+gMYLRbyFs7i04I8IrVGCr3O8tF+ch2k4VIPRemPcvbkr9Ho9Uifl4KNK9DoDTS96xEMsYmY4htjiGiAy1ZASeauaualciwEoAki80sgBKrB/wF8BSCESACElHK9lNKN4vB/PhWiq6E4959b99NVUVGpjvkXdTp+p/pOgB40wWTGOa6AlwpzgPX+qqNFSqsUXQ3QCiGOGF8IcacQYpUQYlVubu6Jzl9FpVY0iE84/Ll15fjskS07cmjpPG7e9lc1dx7W3r1OJfyIp8SOISKK3GULsG1biyN9M9LnRWM0se3lexgz5W/ih1yPpd/FvH7bOZW0dwCvlCyzCnQhWvIWzUKjN6AzhWFu1o7oLufgseVTuHYx9owdfNO2D9lzprHoxtHk/jGTy4e3YFBvxYykJg85NoofvCagEizUZpP1aJHSjhVd7XBnJSrbZICuXbse6ZKgovIfUJaFyZ6VUSVqpPInmTryqUr9fR430utFa1QCBZcJd+nzUbhlFQZLPPbtazHEJiLdLmL6D2bUA28fft6Gpeij49A3sPDipa1JW2Rlmk1RcC7Ux/ObO4e9q01MmXITzvw8XAV5GBrE4CywoouIQmMMoWjTCuISvWTNnsXcQielL33H9KJcwrUGirwuAJ6IbMOrhVtP1td2xhNMHjKBUJtX1dEipR0rupqKymmJx15Y6bpiPJmKOPPzEP7NN5/Hjc/tpjhjJ7s/fRWNMQRHxg4iOvbG53QQ2rQNU8Yogc666mP57LsJeOw2SvfvRhfRgLDUZixzHNaFipB0Mlh48o7e2LasIn/lQvL+mInHYUejM1C8fS22DcswJjRBH6blpSXZ5HpK+KZYeUmNuSiFz7eupY/++ElI6jOibqNJnhHUWIOXUu4XQuiEEC1RhPqlKKEubRw9upqKymlJeNPWFGfuxpzUFJDIonx8xpBKrpHFmbvRGkMoOZCJy3oAY2wjQixxFG1ajjNnP668LEJT2iB9XkJT2uCxHeKiHnpW/QOr3LnMv+V5+r92G9LnxZiQgs9RzMPvdSa8bVesf/+EITqemQ9+ijEmAfuuzTgPZhLVfRBZ332I12EnokNPQlPbkfbu64xbo2j9PiReqfzamPxbNj3nD6ZAHPliUjmMQGDQBY+HTCDU1tg0GiUS2ibgIyllNtVEV6ubKaqonDw0Oj0+p6P82l1sQ2cKA6DUepDCnRtx5Wah0RvIX/47PmcpenMEBZtWYIhRfshKrw+voxhHxg605ghsG5YSmhRPG0M0AF/aD2JKbom5TVdMSc3QR8djiE3E53QgNFpMKa3ZhoPRL37BT8/9iDEuiaLNKyjasY1HJv7BoaXz0RhNeEq9DNHH89Y9F/Bwu2ha6aNI1UfyxHPXEh/jZpPLyiZX7RKA1weEAI0QAZVgIWANXkr5WYXPy6gSgP4o0dVUVE47yuzvKvUP1QavohLE2Kx5/k+SkhzFGcyZsw/p82HPysCc1BR3cREF29ax/7sP2f/NBFyHDlCwdjEhCSnoo2I4tPIPjLGJSJ+XsObtKUnfjLfEjrfEjn3nBsJadCS69yDufnJo+XMdGTvwOR24rAcAyF/6G55iGxGd+2CwNGSv2wZAiIADv/zM/jnz2bKwAIBpM9LY8drzWM5uyVWfjiGqx0AaDurJFR10NMTIPU9PITNXT3uDhfYGC+vffOS/+0LPIASi3nnRBM9KVFSOw6aJL/g/SXwed3lwsbBm7dgz7XXCEpOx7dqCPXMXGx65B6HX49i3D5c1B2dOJlqTmYKVC3HlZiO9XswtOqHRGwhr0QF72gaKt65Ber24crMozUxn2RvzeCBVMdNkfvcF7kM5GKJi8TlL2fTZEpzZe9j7yesc+Gkqd8VZmPDKXZRKePGfLOZtlXxTopx0zfE5WLdeULRzD5tffIXwtl1xHsxh3JpclrgP0slgYbYrhwubSkY9fSmgukxWi1Bj0aioBDUehx2dyYyrMJ8QSzyO3Cxc1hxiB15FwZbVFG9fy8EFP+NzS/L+XkTx/mIsDjtotNg2Lad0/25c+Yewp28hqsdATMktKc3chSMjDcu5l6HRG7Dv2oQmNIyBEx8mon0Pms+ZRljzjhgs8RyYM437X/2WiW+Mpnj7ep6etQXYwlBDPJr3v+c3t2I+Gj6yM+sn/gGAV/r4xZPDL0sgVR/J7F7DuPYsY/maiqSHKR8/T86873nwuWm4/d7JfUMtx4yqWd8QCPRBFIYgEFQBr1JvSL7mbgCKM3ZiTm6OIzeL9A+eos0zk3AV5lO4fgn7vvmCjat8tO+io9RaQmhsCB67DUu/S8hf8hv2vXvQm8OwbdmOvoGF8Hbd0UVEEdXrAkr37yKq20C0YRFojSbMTVqw7/uPCG/XA4BD//xC7l+L6aqPxed0UJym5IYN1xqY48qBA4fnuvnr9eWfyw5G9dHHEasRNE12M2V1MQCvXNMJY2w87oI8DJYYbo6Kpv0tvXnw7Z/+i6/0jEIJF1y/jBb1a7Uq9ZL8rEyu/Ej12q3vlGV0qgsTzfGCKwohRvqDMe4QQgz010ULIf4SQmQIIb4SQuhq2remqBq8Sr2hYNs6Nj52L71nKQHE8lcupOndL5C7eC7rn32Nf/draWUQNGzgZdNaHX1ubkvMgCtw7NvJ7okvI7Qawlu2xuuwE5qcSlhqO0xJzXDmZmHfuQHpcbH/uw8p2rqV6O69EUNuIv6Ca9GbI7Dt2EDisLtw5mUzLPkQH7zwA+2EnhCNjliNqfwkahmfFuTRWx/HNlnEIY/ixnn+ADMeeymzVnjI8dgB+GVWNv+41wO/c4Uxnh7XpLJq0jJuDItjVK56orUSQqCpOw3+Uo4SXFEIEYeSJLsjEA38CrQBngG+l1KOF0JMBIYLIeYG2pfDwR4DRtXgVYKa3y/owN4v3uLji5pj376WvrP/xSslr6b2JWHw9QDMu+stVu/XUSp8fGk/yK58HcnxbvQNLBSs+pPtE79BF2qi4ZBrKdywAefBg9j3pGFMaIIzZx9Fm5cTktiEsOYdKc3KJKRhPMaEJuhMYTiy9rD8xvMp2rqK7J+m8sjEP5g/M4t2Qk+RD0p9HtLdymnaJH3l8MCdLF56ayIAiNeF8ddCO38u99Csgl7Wq4WXV2/oCsCFr92IKaExQ354lyE/vKtutFZBUKcnWY8VXHEgMFdKaZNS7gFyhBCtgMHA5/4+M4ALati3xqgCXiXo0TeIQRNqZvKDn2BzlFK4ciG3fvwAQqPhwJxpfOs4iEUItroPEa8LY420sfqAjo1TF+OxFWBpH4PGGELuHz8S2bEjOrOZqB7nUrB8AVqTmfA2XQlJSKEkfTNhzVqhj4qm0SU34zyUAxotbV8ajyMjjXkv/cKUT17i3jWziAr38Js7B4BbG8TQyWChj95Uad6pQ9vR65I4Xr2hK4e8Dha6lQQhFS0In+wo4YmvVhGvC2P1S9O4//WZjLzoZm688AYAfu7ekr6hFlXY+6mBm2RMWVBEf7mzylDHCq54tICMUVLKwip1NelbY1QTjUrQsmfBbJpM/AnHt++iQTKwrSTCZCR983LC2/VQAoWtXwXAZunEKyU5Hjsjo2M4ZBd0vGuA4v2yfS3uogJWf7uLC96/nPD2PTj0z1waXnYrGp0B6z9zkV4v+gYxhCSlEtf/Ugp3bsQYHU9pzj5ch3IISWjCDfNuRh8RxYFfvqDzA1dw1/uz+LcAlti9hKNjrrOAWF0ouZ4SbgyLY+WX2/D5BCaDr9wzBqDd2RrO7TOMf8cvZpXHSbzBRITU8nGeEsYgURvGwy9dx6fP/QAcvq+qkK+PHjbVxRk6CnlSyq7HGoqjB1c8WkDGqrkfqwvSeKy+NUbV4FWCmoiSfEKbtWX/7Kn0nL0Yn8dNdK/BxPYchCM3i3W/WNELDckoboep+khyirUkxbnR6AzKISZXKcb4RvR5aCAFa/5m1cgbEXo9pVl78TjsNLrsNvRRMXjsymEl66q/cFlzcNvy0UVEow2LIPLs/nhs+Tgy0wlplEppdgZ/5HvJ9ZUSi55DuCjyuggXetoYoklq7iMyzEuY0cf0IkVwl4U+8Lm8eOxFNE72UIqXOKknUaMpNy2kuwv5P3vnHR5VsT7+z2zf7KZuCgkhCRBI6AQiCNIUFUUFsaKiFxDL1Z/l2r12vfZ2latexXJVVBQV61exIIiiIEWq9BJCIKRvstnsnj1nfn+cTaUlARTC+TzPPDk7M2dm9iy8++4777zvrXe/Tjth4olVx54Q3ydSIjW1WaUZ7C+44r4CMvqEEBFN6lrSt8UYAt7A4Bjl2DPdSKSqNqs0gy/RgyrCnsEVvwHOEEI4w/Z0t5QyD/gauDDc52/hMVrSt8UYAt6gzVLw0TQqfp+PFqjhquufRCnMJ1hRhiutKzUlu9n6yr/YqmmkWNzMUQoZaE1gs1LBUumj47mDKP75R0x2B1E9BmCPT8HsisIWl0jGhPNIGDGOqOy+WN1R+IsKiOzcg/gR44juPZjo7rnE5QxB9VehlBcR2LmNmvxNKOVFlPz4Of6ta4no1I3O2Lkg2c7CUDG71GoizTY2KxVoUjJ1ZQXt+0ZSXmOq23z9I1gKQHSPzjz8su4JNNjkYhdBZgUKUaXkJGsSdw1M4u9dIuneNbTPZ9OQv7/z/eH5AI4wpORQavB7BFcUQjwqhBgnpSwCXgBWom/A/r/wPQ8DE4UQW9DNMh+3pG9r3rNhgzdos9z+5i88WFJCx6v/yXn2JD0KJFYiSnfiTstkyfTVLFbqs4otDF/7NIWqdetQaxQiMrKxJ2dQPOcjTHYHjvadUMqLCfm8hPw+VH+VHsJg2U84UoS32JIAACAASURBVNIBsLiiEVYb0dk5eDetxuyKwhIVS2DnNmzxyRTNmY1nyDC6dVBwJVjpt8tTN/eZtiQSIlTSc9vz3bxq+rcP4S5y8o5SSao1knylkoJ56zg/LgKnx8an6wvr7PNxFie5WSEeXqibZa6IP7B23nPaB8CxcupVItU9chC1bqS9B1e8s0H7y8DLTe4pAobvZaxm920pQsq/LqlSbm6uXLx48V82v0HbZsfinyma8yGdLr+LHZ++QfuxkwDB7zeeS49/vcHquyex5utC3vHtrrunmy0OlzRTjsLkcels/zGfjFFdcXfpgSUqloQTx1H667eEfBVE9hiIUl6MFvBjstqI6z8cTVGwuhu7O5avWYLJ7tS/GKoqCBYXYE/swI6Z07B74nEkp2FyugiVF+NI7cT6F15DVSC+T7twKAPIssayTinb4z1e2z4OhxtWbbaS2w8+XBrkouHReAYN4bqHpjPEmshPiv7+Gl7vi6evPZWxM/Qvm53bvzuYx3/IEUIsOcDG537p26uX/O6zWc3qm9Cpy0HNdaRgaPAGbZb2uSfg6tAJf9FOMJnRQgpb33yCrLumUrZsPsGyCsqCjX2eh8UIdleYyMCOIyWVtJOsRKR1JuQtQykvoWLlQtxZOZjsTqSmUrNjE5HdjkPxlhL0lmGPjUcN1FCVtwGLKxp7rAdnSgbV+ZsIVVVgdroxO91Url6EZ8gpBIt3EjPwZD3UQM4Q1j50G+2G9iT/u1V8+0UJl0Ym0Ov8rkR260fpr3PxbSvkkcW7ub1PPOU7JV/tDjE+2U60RRKsVLloeDRFf3i5/7vpXBqZAEh+UmCsLQnrfty7N3pyyCxZ1qiuqX1+oyen7vpIE/7NQko0JXjgfm2IVgl4IYQAXgRORLcPXQdsAz4E4tFPYN10qBZpYNBaYpKS8VpsRPcZTPWufJb++/848+wrqNm5lcSTTqVm/ueN+r+8u4TxEYkkeEJUrFiJxR2BI7UTERnZlPz4OVV/LMGRkoFv0yoSh47GndqRqvwtRKRkoFR59UxQFitSCeqJt8MJtGuKCvAMOImSX78NC3oXkd1z8efp8WiqN6/GGhMPgKtLT7pmdCWnS2/sSR2o+H0+pQu+xxYbi1JRyV0DkwjVqMwoqaJCDbB5TSIf+HfDGhi1wcJsRbfV13rfAHwaLNzvc6oV7je/8A2Zh+rhH2FIZEvcJNsErdXgTwbaSSmzhRA9gBnARuA+4AvgCyHEiVLKHw7ROg0MWoye2EOin2E0MDAEfHPRAGfY/zMWqAL6A+dIKaUQYib60VpDwBv8JeTl5RPj0k+GBr1lWJIzKPthFic8fSPB8mJC5SVU521ipaxsdF+02U77DiEcMVYiOrQnYeTZOFI7EywpxN2tP5rfh6YEcaZ2pnzt71gi3KgBP1Ulu6hYOo/YgadgdrqxuKP1uSvKMFltRHfpRenyX3hmyhPUSJWNSjmPjl+CxR1JnN1BdN+hRKR2JvueJwBQyoqRqkr11j9QyotJHHU+ax57hvTzTib/0++JykzguDVmqk2S3Yp+vD7Z4qZrO4Xo4rBG3wIuj4vntdJiSvo/wJCVz9V57EC9aaZWy9/oySG5w8nAUWaqkRyyTdajhda6Sf6ALth3A/OA/wJlsn7HttVHaw0MDhU1JYUU/fodtqgYrFqIzS89T9nC73nw1MvRAn5WfLgJn6Y0uqdCDRDXsz1SlZjsDsp/m8uq267BZLVhjYojsnsuFrfuJWP3JKEG/AR2bad682ps8SkIq43t05+l7LfvkUoQYTbjL9yOryCPra88xq3vPczIWDPP33UR7cdfQ9KZl2J2RePP31Q3h1QUpKYirDYc7TvjyuyNxR1F57+dg3f1ChKH9Gb3st0k2SQLlN3MUQr510X9ufbcTGbtUlos3AHuFB14csowulyUxd/mfco7s9+ta8ssWbaHfb6WSdGdWzzXX8chPeh0VNBaDf5KdJPMCUA2sAhY16B9n0drwzEdrgRIS0tr5fQGBvvHqfiwxcYT8CQRKC/B6o7ij5WCHra1XPPPMyn85lvi4kKcXxHDm17dVn17n3gsDjNqIEBlYQiP1YriLSd+UH+K536C2ekiuq/u326NSUApL6JqzRIcqZ3Ie+ct0i+dBMDv76xmyP09Uf1VFK9aiOrzIjWV5LETKPtlNh1HdcYaE68fqgkLE1fnHhT/9CWqvwqTzUl0zlCCJbuQoSCqz4sS8OPMyMZjtZH3/kyW7bI08ogpX72Vx5cX7/kg9sOLj1/DqU/8wlfX9WLYlrMYN+sRMkvGc1HKCM544JpGfW/OiuPVKS9Scet4MkuWsdGTw2neLcBR5GIpJfIY22RtrQbfB30jNSSlXAWsDtfVss+jtVLKV6SUuVLK3ISEhFZOb2Cwf+wx8VQGFKrWLMbidGGyWBlxwxCy/vko9sQOxA8+nq4TRxNSBXcNTOLSyATKd0p+WgqFy4qJiNP/a/i2bifk82KLS0StqqR661qqN60h5C1Fqhrtxk5Gairpl04ionMPgiWFdBkUQUSnHkR27kH15jUUfPoRjuR01j/7LCGfl/hhZxDZcwD+7euxRsUSCoc0cCRn4GjfGZPVpm/ShhTKFn7L3dc+zVXXP4k/bwMFn85C8al4hODSyASSLC4AHl9ezGhrEunWqAM+m/d/+RqAa25/keu9BVx3/1v0efP8Oi39pznP8ckdjza6p+u1l1Nx6/i615kly9iolLNRKT8kn9efwSE+6HRU0FoBvxI9nCVCiPZAFPClEOJEIYQZmEArj9YaGBgcfQyN8LBy6j0MevxbBj1+pCZXOfZMNK0V8NPQw2OuQw9Qfy1wE/AUsAn4WUq55NAs0cCg5RQvmkOk3Ur7sZMw2x0AtBs7mao/lnDlNQ9jS0jmw8e+JSYmxLylkt01JkwmiBSwrcjKkjVmfnp1OTtW1iBVre4//ta338eenI4/fzNKeRE1u7YDULpwDsGSQh69+G7SJv4/ZCiId8MK4oaMBiBQmM8Tq0q45aXvscTEk//uVObcOZ2K33/Cv3UtwZJdhKoqsMbEo5QXU7NzK1XrlmGyOTkn3qGHMXhzJq60dpjMgmFX9GF3jYkxMY669/x/SiHbFO8Bn82Fg05rdE/cUzMatV+S3WcPm/vIB/TNVIepeVbdTV/OOHCnPxt5SGPRHBW0SsBLKRUp5RQpZZaUsreU8jsp5QYpZX8pZYaU8v5DvE4DgxYR128Iokn2nsq1y1j173d465NpqFVeBmaF+KCwhlQrzFYK+a3ExBfBQtbKAEk2idumYbFIqrfvQKv2EdnjODqMO51PbngV1efFu2IR5ggX1ph4onsPZO1jj9LLZCMirSuVqxYhVZWK3+ezaKFK/ocf8NYn05i5+Hsiu/TGZLVy7ndvkPf+TOJHnsuyf9yEFvSz473niew5AFtCCtF9hxDZPZfjnriNey8/gT82W7lzxjLcHaJxtO/ImXecQr87JzD1ngk8MKrTPp/FrNUL6TntA8bakvbaXnrLeJIsLkr6P8B/HpzEdR3i6tpuyIhjuDWpTuCPsuw7/MH5n/di5+uvM73nEWyP19TmlTaCEWzMoE0Sk5SM1Bq7xCWddDb9H70de1IH7Emp2GPsVGpBQqpgoDWBZaFiEiwRuISZdUGJ26Vhs0tCvgAhXyX2pA541yzn+FHRFP+kB/uSqsrubz5mxdPvEj8gm5H/uoDypXN56rHPKF/4nW7fzgqRfdej+DasYMeM/3Bu36FEduvHiyMm03HiRABcSQ62vfEitrhEpKKgVldRtW4ZwRL9gJI5IgIvkhs7xbFxQSWB3fnEDRlN6jlXENlzAN6t+7aFj+sxkMdO7cX6qVP32acw5MOz5D7+371vkHJCel39oLf+xzyl/pBUwwNTY2d+Une90ZPDhQvv560BO5l4/rVMPP/aZnxKfzKHNlzwUYEh4A3aLNEJiUR54utea0qQuONGIkxmovuPYOA73/Ovq4bzYaCQhUoRqpT0EpF4pAUzYLFK0k7vQ7vTRxGRkcXu2e9Tsa4Aq9uFVDUSRp6Nb+MKCn/dTHJOLI7kNKxxSVx94zOMcNq57qHp3NQljs0bLKgBP1/e9QG/vvgz/3v/eebd9z4rpRdbfAqujt2I7tWNyC6dWP7qfFwds1FKC4nI6Ia7S28ChfnY45OZMv1uet17C70v6sm8FxeT98aTqDU1FH37IZlXXrrP5/DAqE7s8vr4/J/6xukTk0/gicknAHoKuyHWRD7avJqXnrwOgDtn1Jtnxg8bw/0nZ3Bbzz0190/PPxuo95N/JSqFuz5ayZNXnsiTV554cB/e4UBK3QW1GaWtYAh4g2OGwm8+oHLDCj0J9ooFlK9ZTM2unYB+wKmPzcNafAzqB4M6qKQM7YRSXopUFIJFBQRLiuk05W9E5wyisqCGvLdeIqr3YLKvn4jUNEI+L4HC7eRY4+l6in4MpMddt9D7pEi2vz2VIqnhcmhIVWVG9W5OtUUy6eJ/sObuy4jpNwzFW8Hwl+/Fv2s7gd4nEigqoHiuHhwr5PNS+stsfBtWYk9oR+5pseTP38YPp5+KO6sPaBpvf/Y617aP2+N939z/EUaMuILet9zOG6uXctvrP3Pb6z/Tx+Zh+g8f8+t9z7Pb66Pd+ddwsrWxGef2PvFMWBbLbWICPad9gP+ufdvW5z19PpNi4qnauImqjZsO1cd2yJAce140RrAxAwODY4PwJuuxhKHBG7R5as007cdOQlOCmO0OYo87iap1y7BG6SEFTrdH005aGGaNIPWC8bQ7IRNHuxQcSSn4tmwgWFpERHpHPe9qcjrJQ7OI6taN4u8/omDWB0R260ZMv2FE9R7EyV0kwTI9X3LeW//l3q82YouNZaus5rXSYmp2bOb9n79k7P+9zBOTT6D9+VdTs3Mr7S/8O5aoWIrnfERilAuLO4rYgadQOPtzfJvW4d+eh6N9J6Sm4mzfno5jcsg4ZwhxQ85AWK3YPEkMeP4RAF56+gYmf657Kt/30TVklizjxo+ux+OOIMcazw0ZcaS8NY2sl3SBN/T+PH7dvIOLpt3AO9++X/fs4gf2Yv7UyygccAKf3PEoMy7uyn+W/sq/xnUHYKA1gVEP3QHAjZffz9mLviFhxEgSRow8/B9sizFs8AYGbRJdyAu2vPQYismCPTYeS2QcztQMAL4KVOBDsk7RqPj9F7RAgJ3f/EzZsuUES0pRAzVYYzxULJmPpigkj5tMzHEjCHnLieqehVpdTaCogNKf/4+Of7uQxJNOBaD9eZfy0tM3EJHWmRvO0eM0urr0Zt2/bsAWE0/7i66n9JevcSRnYOkxiJ8n3Yg9KZWKBV9hsjtZ98htJJ4yGlv4S6piqZ6hytm+I47kNGp2FbBt2kOUDDibUFUFqr+K02d8zGfth+O2WZi1eiHlRfp/8+TTT+X3a8dw/+pvOP6buVzWTnDycSFiI2Dd/Un0rM6neutaLO5ozELw5JRhpF58PbOnPMqLX1/N+yNCOKwW0jwxtD//Cl5e/hs3fvsKC6fvJvGK29na/0G+2ljIlnc+Zcs7n/7pn3GzOMa8aAwTjcExxXFvfEPIX4W0R9Du5HOpWN8FHn4PszBxyklubLHR2BN0+/m6rwuIV2po1z0Lc0QEapUX37YtuLP6ECyBgg//R9Lp44jo1IMFU27GGbmc6E4xWKMjERYrmdYYbAkpmO1OLh0zmbsHJ/PYpQMIFG7n3q828ulzLvx5G4g7YTS7PnmdNU88x0u7Snm392Dypz/Lba//zE1d4qhY9gv2hHbEHT9Cj1FjsRKR0Q3VX6VniirMp+ahyVjufg57QgpXOd14MdPz/k3kP5FOv5vO5vTREyj7bQ41X32Dd/0KhNlMsKSQB08aQrJJwWx3Ep2dg8UdzaKJF3NDZiwJp5yHO70Lp7/9INtefYq0STfjtpoQSKKOP5XH5q1h4s7vmPPWdazcsZvbTSAmT6DDhINORHR4MEw0BgZtlyiP7glistpQyvT4M46EFAZaExhsiuK+2ZvJm5vH1KnzqNlVQHyyiqtdBKGqSnZ89QtqsIbV35Wy+fXXeOHqf2ONjqTst3mU/TKbXWUWOl06lt9+8DFn1i6UsnIuGhiByWqjbKF+snPBbxomq5UrrnoQgILP36Ss54mUL/wOd1YfnttYxgOjOuFISCF24EgSLBEcN+010i6/A5PdQdG82Wx8dQZRvQfj/f0n3F36kDjyPFydepBx1e1UbVhO1YYVBL1lmPP+4I8pKrP/2EpU3yEEigqo3rSaysIQcX0GEywqwN2lDx53BFZ3FCF/FdUF29j12RuYrYJ+zz+H7DkEpcpLqLKUmH7HEdW1Nzd/vZoFWwowB/z8c0AaKWMn47JbuXLCY3R9cgrrSix89twC+j/46l/zIe8PKZGhYLNKaxBC2IUQHwsh8oQQs4UQ0Xvpc0+4faUQone4rpMQYmm4/pkGfR8RQmwXQqwRQpwdrhsihNgqhFgbLhc2naMhhoA3OOYwWaysvvtyfAXbMNudTLjrdNwWSSdrNC/tKmGzUkF1XgGLN1vZudpP6e9bcMRY0QI19BvfhceWFrFMKeadj/NY/ME2KteuIquHRvmyhSgSho2K5t6vNmJ22Cj6dibOtC6MsiYx/rkpqDUBcqzxvPnRf0k95wqCT1yNsFrZ/d2X/Pu+S0keexHV+ZuwxafwwMMTCVVV4E7vgjUukXannUPnSefj37oWV5ae8Nu3ZS1JJ59LsKQQS2QcERndsES4cCR1ICIlg/7Fq1BKCylfMo+4YWdx6o8/srGwBE1RcCYm6xq52Yw5LonIjlkES4pIu2AMUlWJNWmYLDYskXEIq5UKVTAuy0M37zbSH9nC23/sYnmpn/xSLwNvuZz//vEz45+bwvjnmqYqPTKQh98GfzWwRUqZBsxBP91fhxCiD3AG0Ak9n+vz4aan0XNppANZ4ZAv/dFDrndGT6z0jBDCFn79oJQyO1zeZz8YAt7AwODYIBwPvjmllYwG/he+fh9dQDdtfyccpHEh0EEI4ULPpfFFONx6bS6NDsCbUsqglLIQKAWSgDRge3MXZAh4g2OKWjMN6BEntVAQs9PNcZP6slmpqGt77OdduIDiSgtKjcQzKJeqDZsw2etjv6wKljBPreSJT9YTnZ1OwolnsEuEECYTCZYIQtUBtn+1mOqtazn32UkknXwuwmziin9dgDCbUWtqcHXMZPPbn+Jsn0zlmuWUL56LMzkDmycJW3yKbk6q8hKdMwRXVg7OtC54Bp+GPSGF8uULsCWkECgrxpnWhfgBJ+JKScMe48EeG4+mBInNGYo1JoF2oyfgDKcVzEyKI3H4WZgsVoTJjFRVbGYTUtPo9uAbxI8Yx+2bnKgBP5YIF9bYeFLOvgJr4VYqahQ0JcjXyiNM6t+ZLLWMxGg3K15byHEv/MFZG3rRbeKRmq1TtmSTNV4IsbhBubIZE6QB+eHrveXEaNgOUIie4nSPXBpSyk+klFMBhBCj0PNv7EDX8u8SQvwhhJguhNhv+FBjk9XgmKT/S59zRocsZvz4GRXLfiH+xLO4OWsxT68r5boOcWwptNInBz5dFiKi0MIHL8yjOy4GlK9sNE5RqBqAO99dzHXzN7M8WEr5VwrxJgcdxk9g1ZOvEZGRTfyQMyhfuYi0SbchlSChKi/5M19A8ZbT+W/nENlzIKGqCkx2J1ooiBbwI8wmyn+bQ8IpFxLZuQeaohCT3ZfqwnzcHbMJxCTgSklDqarEnll/YldqGsJkCicA94PJhOItQ1htqH4fVncUJquN6sJ8IpJSMdud4ftUSqqDJKR34b8puh26Yv0K/FvXUhTVntsWBNhaFGBXsYfl4yZR9PPXrLj3EVb/61XEqQOwAWsePOXP+QBbQzhccDMpllLmtnwGQg2um07WsL329d7qVAAhhAV4ALgEOE9KqQkhlqL/SvgZeBh4ELhxXwsyNHiDY45av/i3P3ud8cPGkHzuFITFRsYFeuTHxJxE5qvlRHZNp5208FlNOQVKFTbgsxUqwxuc9uxmiyPOogtIWwSMsyexTfFyUgIUfPI+7Udkovqr9BO0sfFEde6BpgRxpGQQ0akHyeMm48rKQVOChLxlmJ16GITo7BwShpyBMyMb76qFSFXDFhUDgNWl792ZrFYqNqwkUFqIWlNTt6baIGvCZMJktWGOcGNxR2G2O3AmpYY1dxMRSak0zFdrstiIUnzkz5pGxZolmMJZq/x5G9DefZR3TmuHbd5qenVS+cyczquTnuC6rP/y7cXn4Hlq/JEt3AGkpsfZb0Y5EOHN0lUNC9AFPRcG7D0nxo4G7QBx6Fp8wzgQKUCeEMIEfA50BPpKKReH26dLKX8Ka/zTgZ77W6ch4A2OWeJyTiDTGkNUdg5oKmXLFpFgiaBklZ4p6Y63F7GVAJWq/h9+dmg3MdJM3/Z6rBKzEGwLVfLA3ecD8MIGL32GOrm1u4cXdpTi3+1j3eebKV3wPWp1FeW/zcFXsA00DaW8qC7qJJqKI6kDwmwmIrUzlggXQW8ZIb8PizuaqJ4D0UJBgt5ypKah+CqoKdmNb8taQt4yhMWma+qNEIDAZLES3aUXzoRktKh4zHYHUtPw+gMN+uqKpBrwY4+Np/3YycTlnICmBKlcuwypqdjik/mxKMCPH1/M1v88ztAFr3HRHafS+asLAI6OjE4culAFUsqHpJQ9GxbgVuDicJeJ7JkT40vgQiGESQgxHNggpQwAv+8ll8bZQFBKebGUsmEkuYXhzVqAscDC/a3TMNEYGBgcE8hwNMnDyMvADCHEJvSkSBcBCCHeAv4jpVwkhJiPnu60HLggfN+twAx0Tf5/UsolQohzgIFCiLUNxh+J7qnzTvjLYBVw+f4WJOpt+38+ubm5cvHixQfuaGBwGPCWFFO5ZR2OhBR2/zCLit8XYHFH8o9nPtujb5zFyXXDEvjf/HKG2Bx8VlPOdTkxJAw7nuh+w5g84RZSrG764mLo+R1Y8/k2cv8+DKWyHFdmT+bd8x7nL/iI9Y9dT9dHplM48wXsSanY4lOwJ7SnZudWAD3va3ZOnZlF1SRmk0CpqgRAOl1YpIpS5aWmqICQtwxbXBLCasOd2nE/71aga+r1Nvqm9Tu/mUnC0NGY7U6+WZtH1pKP2Tr9Q9qd2J/kc69kwk8hBqZb6Bxj5+wOkez64k0A+tzy1EF+Es1DCLGkFXbxOnqkt5fv33FVs/r2uua+g5rrSKHVJhohxJVCiC1CiPVCiNFCiOPCDvlbhRA3H8pFGhgcLiI7ZnF2t1y0oB9zRATOtEz+fcs4vc1sq+t3z/Wn8PP8ADf94xQ69jEzyhJLdI/OVG1cT6BwO+fZkyhQqhj79GWgqfiDJtRgDa7MnpisNkY8MoG5Z42lOr+Qsu8/JOa4k4juPZiI1M4UzHyR2ZfchTUmHn/+ZsqW/0L5miX4CvIo/fWbujX4hBXh9xGq9lH667fYYuKxxsTjTu+CMyE53Es0+Vt7Xa/ICZMJLaQ0apeaRtJJZ2Oy2hAmE8cFdlCzYwuxPVNZP3MJz26TZCYIZt7zGs89sg6L083XWWP4OmvMIf08DitSgqY1r7QRWmWiEUJ0BK4DegGJwGygAv0nyRpgkRBilpRy86FaqIHBoSbKE4+3pJgki4tlj7zJiR++we7Z76H6fTw5ZRiO1AxuffBd0s2RONp3pH/3BQTLS4kb0I9+qfkknTmB0h+/wOx0ExsZ4rELBqApQTxDRjH6zHhUn5fovkMJ+SoIFhXQdeJoNr79fyQMPwsAi9PFzm9mknrxDSSccj6+DSuwJ3XA5klCU4IEinZgdulecMJsIsbppNwHkXYr9uR0KlYswJ3Vj+pd+Tg8iYBuY9a184a/zPf8lW6yWBu1S01FU4JYnG60UBCT3UHi6RcT3et4Om75A1+FhcqgymnTbiRl+j38srMvPRIiOfP4nMP06Rwe2lIgsebQWg1+DLqtqCosxC9DN/csl1IqwKfAEb6lbmAAILjr9jG8vLuER0+eRPK4KVhjPLQbMxGz081z//4HD86dTtnCufR78U3aj78Wa4yHQHEZ3t9/YtFrSyie+wU9J4/AmZqB2e7ElZVD/PGn4M7KweFJxJXaCVPYFTH97EFUbduAUqXnTtUCfsp+m4M/fzOuLr0xu6OwuHQ3Ri1Qgz2hPUpVJSarDZDEuJx1Qsoz8FRUfxWulDTMdgdaSEEN+PfQzpuDyWINz6FnqQqmZhPZuSdTf17DM1tCmIUg2+NmVPcM0ibdRh/Kjzrhfii9aI4WWrvJmgloQoiFgB14j8YO/AVA8t5uDB8YuBIgLS2tldMbGBwaojweOl15Lzz8HsuDJcw58wJG/TAbs8NBRM+B1GxYzqLJl/L0ulLO/GQyJ13Vj5iBI/HnbeL+xz+hNOSHL6Db0ErSJ99IZFYOlggXJquNyI7ZdcLYmdoJk91B/rtT63zZqwvzcaZ2BpOJuD6D8BftRFMUrO4oHJ5ELK4oagq340qp/39SlbcBTGZMVt1zJrpLL9RADWa7A5PFSk1JIc6ElAZ29obau2BPbb7eLm+y2KhRFFTMmE0aH67fybQ3gwStZjr0qeK4jGqcVgsfnnYVL5WvP6yfy+HiWNPgWyvgnej+msPRj9QuB75q0L43J3+9QcpXgFdA32Rt5fwGBgYGLeJP8KI54mitgC8Dlkgpa4ANQogdQL8G7SnAloNdnIHBn4Ewmfno9/lckXsqL+0qIfqS0xk8az5a0Q4uGXUxESbdXv1FsJAvpn7FS2mZpF/+Tx7p/T1X3/gMPyrVbJkjuf6meGzRsZgsVrSQglLlxRYVi1RVhMmMMzmDuIEnARCRlFqnNYd8XvxFOxtslAKIOru6FlLqbObutMxwe8c6zxpzOHyCFlKwON0NPGTqx9KRNNbiG3rWqBT+MIu4EePw+v0s3r6bzLhIZj4YR7d2ceExaolr3gAAIABJREFUBWd06Mo/535/KB77X0Pr48wclbTWBj8HOE0IYRZCpKBr68VCiK7h4DljgG8P1SINDA4vEocnkaff0rMhPba0iDHp2Zyfq2clqtYUHKZ6Xejvt06l5KcvsUTGcc+QFIZZI3BhonjuJ4SqfQAEyoqxx8Trm55mM86EZITZjCO1M0W/fkfJkh8RJhMOTyLutEwsTjdAndBe84AekdHhSUSp8qIGasJfGpV167C6I5Fhjw81UINUVaxufVNW7tUTpKlwr/+7uaSSdiPPo7omiMcdQbfEGLonx9OucB35s6ZRuvwX1u0q5gJnIg/PLTqop/2XIY2MTs1CSvkV8DuwGv3U1VXoXjUfozvf/1dKufNQLdLA4M8gceho3vpkGhs9+ubhY7/MB+DNj/5LjRZq1Pea218EILJrRxI8etu2D7+jfPkCqvI2ogZqqNyyFrWmJmwb302o2oclKhZrryFIVaViQ31cG6s7stHf7vdNq2sz2x3UlOwmWFFW164j6lweNUWpE0xaSAkLqn0J+YYavS7wOybEIjWVGJeTneWVpMe6UTWN6O79iT1uJFqghp1/O4tRL92IuH98Sx/tkYGUxiZrc5FS3ocew7gh+42LYGBwJFLrLgng6T+MOQ9swnXy/7iiey6PXNBnn/dNufxunrnudIIBQW5WCFf7GFY98BCpZwzB1ak7jtTO2D163BqpqdiiYnG064AJSYU7Cntc0l5MM3sSqvYR0S4VTQnWbagC+AJBghuWYXFFo/qrsCekIExmvS1/M86kDk2+EJpSr9GbG2zIpsZFIzWVdYXFVNQEeeiHSmrmKvS+6kXShZm3P3u9GU/1yGTvX3ptFyMWjYEB9QHIQE/OHeNyMHPbKvo8/QGVHfsy9Z4JTIqJp2TAYyRZXHV9H3/pRzaUWfCVSe6bvZn4nHQsUTG4u+didroI+asAXcD7zTa06ipKq2sw2Z3YY+MPKNwB7LHxVG5ZizCbEWZzeDwNWbiN6Owcfez8zdiiYgl6y/AX5uNISMHscBxg5IbIsPCT+Aq2sfPr9+hcsZXM3z7C/ch4vvlXMr/9+z1u7hVPRWr3Fox7BHEMmmiMWDQGBgbHBLUZnY4lDA3ewCBMlCe+gSZfb6vumBBLxyl3Meqz13mp/Vvccf1Inr1pDNFPzqAw5GO3CPHCjlIuceleL6kT7wTAEhVXN7bF6SbKaUcLBYnwV9QdfGoOwmTCldoJqap13jTCZMKZlAqAUl5MzY5NddpnREo6UlObnFbdG7LRoaha844rJZ3KP5YQ2LmNxFP1eFghbxkTH76MrKlFPDJ/W7PXfkQh0b1omlPaCIYGb2DQhFohX2uX1zczzUR2zGLnol1kde/Dk+3OJgo9Pse5Q1zceu3DVG/9g3n3vEflxuH0euplQlUVyFAw7BKpooUUbFGxCJOJQHkJgbLiOlfIA2G2Owj5fXXr0UMLKFRtWIFv0ypSxl2BGqhp5H5ZT1PPGepea0oQk8VGUFWxClADfnb5VawxHvw7NrGz2wimvXwvl519BaDHJvnRkwNXnNzi5/rXY2jwBgYGYRpr9Dqjf/2FdUP/xn0RG3hmUDxjZ37CA3PyEGYzsceNJOf8zixZLvDnraf8tzmse/h2vJvWIEzmukQbgL7h2kzhvieSQFkxQauDt8fcQnTOUHxb1lK1aTVqoAZhMtVtrpavWdLovqbjmO166AO1tBClykvFmiV4X7gNS2Qs6ZP+SeLSL/i/61/ms43LASjqfjUvzHi8lev+i5ESTVGaVdoKhoA3MDgADfO4AgyNCOJISSf3jWJGd21P3FMzWHX3HRTPnUXCKecy8tJMJl92O2tfmslDPxVw0YhxVOdvQg3smXWpcdyY/WNxuhq9zn/uVhIdGjtmvECgqACgbo6akt0EveXEdO/f4I4949LUrkNqKkFvGd4VC1DKSwGoXLuUq65/knM+epwxmbo3UcKa//LsKU1zSR9FND8na5vAMNEYGBgcGxihCgwMDPZGlMdTZ5OP7JjNul3FfH+1jYHPbGFUX8GVO9PIvPeNuv6vTnsAzykXMKy4gKLvP+KSURfz/s9f4kxKrfNjh6Zhe5tHyO8j5PNi9SSwvgbefuUHntRUMv/xJMJkRmoa9tj4JiELmoYrqGfXNx9gsjt4+fKnGDOmHeYIfQP4klF69rm4PoMZbU1iPQHy1aoWr/dIQQKyDW2gNgdDwBsYNJOGB6JSY6MY/foqZm6+hcs+S2jUb6Mnh5CvAotUqanyEt1vOJ/8MRlLhItQta+RgG8NFqcLd1om1V1z8DAbAMVbgTCZMTscB4hF0/CvbsqxxMTjW7eMKf/5O5Hdctk+/VlKfqqPNHJGh6511znWxnsSRxXHoAZv2OANDFpA7aary27j6oEuejz2Kn1vu535Uy+r65NZsoyx2wbw7IJ1mFO7YI2Kw+qORJhMLTx8tHdCfh+B8hI8J5xOl3ACcGtUNCZr838N6LZ/oaf9Ky9m95xv8Aw+jfVP3MK8/63h7llrePTiXP6Zq28EP3bpAACWKcUsU4r3M/KRjVS1ZpXWIISwCyE+FkLkCSFmCyGi99LnnnD7SiFE73BdJyHE0nD9Mw36fiqEWBsu88N1cUKIeeG+7woh9qukGwLewKBVSI7vkEB5hId/j87E4o7GKkx1cWySnx3PnEvOpXD6E1RtWE6gvISgt7xFJpmGm7J1s2q6APLv2k71tvUkDegAQOWGzZistgbj7z3mTO2YJouVQHkxMdk52BJScCR6OKfXYKKyexBr13jkgj5Urs/jR915hjveXtTSB3TkISUypDSrtJKrgS1SyjT0gIw3NWwUQvQBzgA6AVOA58NNT6OHfUkHsoQQJ4brY6SU2eEyNFx3D/BheI4K4NL9LcgQ8AYGLaY+QFexz09yTBShzn154YU7ySxZBkDcUzMAuO7+twiVFxOq9lGxZjHVhfn7HLUp+zLlKL4KvL//RPnSucQeN4yHxmSTMGzEfkbShX3Jkh/1TFEhBX/RTkp//ZYtRaWoXfqTevF1nGdPYvvn8/AHTfxw9n1Edk1jYKcQ/8xNZPpXb3NDRhw3ZMQxv7qk2e/hiELKw6rBA6OB/4Wv3weauhuNBt6RUoaklAuBDuHou/2BL6SUEpgJnCqEaJqtpZbTgLf2M0cjDAFvYGBwTCChJbFo4oUQixuUK5sxRRr1me0KgHb7aQcoBOKBsrBwb3hfCvoXwGIhxHIhxNhwe6yUsmI/czTC2GQ1MDgIerVPJL+0goV5u3l6ay9igRk/fsYCv73u93f50vlE9hyII6kDoSovJB3cnGa7k+j+w9k16zXc3frR8e93YXHtYe4NUxsxUhCTM5RAWRFmuxPFW4Y/bwNxQ89GW7+EHTP/y+kv34Ba7cPe/STaffsqRXkFbM+zsDykYI5oT/ebLj+4hf/VhDX4ZlIspcxt6QxAqMF10x3dhu21r/dWp6Ir328BTwCJwLxwilRlL333iSHgDQwOgneXrmd0dgcGZyTx2hI9GYca8PP8qDF1feIGnarHktHUungvrSVU7cNksbH2gRvxDB6MzZOELa4d5oSU/dylC3mzSbD7tzlEds/FZHcSN+ws2L6WB869iTM7mChf/SwWh4VB71zE0sUL8ebXcMHPHzN01qt4n7+BYmDY23MPav1/NYcqXLAQ4h7gwibVXdA173Xhv3lN2neE62uJQ9fiG56kq72vEHhUShkEtgkhFqHnwvYJISKklNX7mKMRB2WiEUKYhBC/CiFO29dOsIFB26Pej7x/ioczJs/jkzXbqayBm7PiuOSUC+u8TgBMThdmuwNL+O++xmpct2d97anXmqIC0iddg7NDFyxRschQEFlehNYoUYXc41pqGpHdc7G4olDKiwh5y9jy4gNsVMr59+ZSOk2+nM8XB7kzazgWt4vqF6az1KsyatlYLpxr4cK5R7k+KCVSCTWrHHgo+ZCUsmfDAtwKXBzuMhE9GVJDvgQuDMvN4cAGKWUA+F0IcaIQwgxMCPcbB7wrdOKBPugJlr6m/ovlb3uZoxEHa4O/Af1bC/a9E2xg0AbRhXBHq4J1eDv+KAky+dkbeHqdfsy/1uvkZGsSztTO+xmj4d+m1/WogRo0JUjlhhUIsxlbfAqOlAyiuvTG4orC4UlqEEOl4Rj1gj5QVkywrAgtFERYbBR9N5MHPlnLpZEJvP/L1zgzsjl3ZCwXjIwl6f43UDXJlY8WcfpojVEP3cHO7d+19CEdWcjD6yYJvAz0FUJsAnKAFwGEEG8JIQZIKX8H5gMbgWep97K5FXgK2AT8LKVcgr7Z6g3XzQHukFKWAQ8DE4UQW9BNOx/vb0Gt/koWQnQETgG+AMzoO8HnSCmlEGIm+u7uD60d38DgaEBxx3HbMD8nhHZyaaCQqxI9vLy7hPfmzuKiEeP4Timk/w1XMOyLnw8wUlPBXi+YazV3YTJjdkdhdrqgrIjo7v0xWW3YY/Xcr5YIV4N7BU2dMOyx8VTnbaBi+S9EdMymaMFynrn7YpTKMvJee4TovoOJ7Naddlf/i9cXb6Sbx0Vo8ePMXszRL9ypjQd/+E6ySin9wNi91F/W4HqPTHhSyg3o8rNhnQpM3stYRcDw5q7pYDT4qcA/0P8V7WsneA+EEFfW7kwXFR2lyXsNDAyOPg6/Bn/E0SoBL4SYDCyUUq4LV+1rJ3gPpJSvSClzpZS5CQkJe+tiYHDUEOV04A+pDJo0FXn/DG5V0wC4aMQ4AO4enEzf56bt5c69m2KaooUUXXMP2+7NTjeBkkKiuvamVIEKfxA14A/na/UT9JaH79zThVoN+IntMwiT3cGuz96g/yvvESjeSfLZU6jernvvmSxWopwOJudmEnHnBBb89DoLfjp6c7A24vD7wR9xtFaDHwFcKoRYi74Z8DC6K08tB9zdNTBoK4zp2ZH5P77GTSfoGZxqT7MCZFx+bZPNT2iucAeQar2eJMxmXCnpRHftDUCsScNhq7eymu3Oui+C+uQg+pdEdWE+gbISNCVIbM5QXJ26c9mg01Grq/lx/BRi+uQQP3wMsYNPw1ewjTmDT0SqktXjT6Fjelqz13ukIzXZrNJWaJWAl1JeJqXsKqXMBmYBVwBL9rITbGDQ5nFYrazeWcK142/nEm8+y2Y/VdcWqiwlJrtvg97NEe71AsZktdUFyDJZrHg3rUZqKoXffACA3WxCUxTUQE3dIR0tpNTFjtdDG6jYY+Ix2x26N0+Ei93ffc79l/Rj81fr6X3zxbiycrC6oxAmM4GiHZwxfzaDZnzNmb+s23N5RylSghZUm1XaCofyJOvedoINDNo4+lmVE7PS+PmVq1ioFHF+7kgA0q1RlP3aUj+D/WuP0V16UV2wjaRTL0DxVSBMJoTJTOHX76HW1GCy2lBr6mPY1H05WG2Y7U5Cfh9qTQ0dLr0OV+dsBjxxM7aEZLIu+jsxSclknDyWjJPOwpPeEU96xxau/QhHSjSteaWtcNCOrVLKiQ1e9t9XPwMDA4O/Gqm2HeHdHIxYNAYGraY+eYaqSX5xpjdqHfrhO/R6/N0WjtcYYTI1ikApNQ1XaicCZSWULZqj+8eHgtgSkildMheTxarHnff76twrNUVBaipmh4PtM6ay6NLRPHfxfURkZOPbsJKuF1zV4nd+VCJ1Ad+c0lY4yo+mGRj8VTTMjCQwm/Trkn73IEM+Jq59h/F9M/eSfGPPjEr1gn1P3/Xa8L5muwOpaQS9ZZjtDiLapWI/+VwC5cVYnG5i+48gVO3DX7QTW1QsJquNirXLcCZnoIWCbHz+dla/t5xyv5mT7jyNyWdy7Aj2MHqwsb96FX8uhoA3MGgxjcMASE1DmEyc1aszWSNewpGcjuof3SChtdZA0O/7QNPeNPiGoQ3UgB9bVCzFi+YQP+AkhMmM1RVN9c6t4b5ONr98P5n/eBKTxYY1JoElU87FmRJHbO4gzlv5Yt1YtYlLjikkaG1IO28OhonGwKCVeP26dl0vvCVdbnicv986lYSR59X121OLp67/gbxqGp68rPWMsSekNBpTd490Iiw24k8ax7pHr8eXt57SBV/R6e/XY4lwopSXUJW3kaq8jcemcEf3olGV5pW2giHgDQxaSZSzceCwoKrhy98MQERKeiPhXJW3MXzVUIPcu3BveF9DQV5TshthMhHZMbvu3qqtf2B2uggUFVC99Q9sniTKVmxh09T7ic4Zis2TRPK5U4g/6RyCZUWk5Bzf+jfcBpBa80pbwTDRGBi0AG/JUZrNyCBsovmrF/HnYmjwBgYtpmE433ot/POVm/nmrL/x+ZZVCJO5kd3dnZbZzHH3bdKxx+qmFe+m1dT+EnAmZ2B1RxHTcwDBkkIqVy2i85WT2fRjGVteeICCj6bph6VCChknndXyt9qGkICmNa+0FQwBb2DQIuoTWNe/1s0q/dp7qAmYOKtjT6p35e/RR2df8d+b9qunPpqk/t81qnMPQN+ANVlthKr1sASqz4tv8xpMdicD7jiHmJyB3DX9N1bfdyer77uzZW+zLSJBU0WzSlvBMNEYGLSIhq6MkholRJnPT3JMJKX3XsY7vt0AODyJe7lnf4Jj/0K+Uc9GG6wOqrb8gcnuxNG+E2anC7MrinYDT2Hzi/cyxJJIl+uva/7ba8NICaED5/JoUxgC3sCgRchGf3d7fUSX5rFgyrU8vLCwrlfzMjcdDIKgtwxLhAubpx1WdxSVqxcS2WMgFnc0gdJCLO5I+mcorHnsGcYt33CI5z860bS2o503B0PAGxi0iMaHkR6Zv4XLpl/PoA/m8s76FdTs2ETSieMO2fjAHidZdQ1eYouKQQspuFLS0ZQgjuQMfOGMT8JiI7JbfwaeexXCYmPnyqUk9+p3EOs6+qm1wR9LGALewMDg2EAaGryBgcE+aOoiqWqS7dddSK8fP0OYTHpY4EahgaHlppn92+CbetiYLFaqC/MxWWxE9xxITVEBwmQmsmM2O8u9WAmy9bWHAUju9VYL19K2kMDhDBQphLAD7wG5wB/ABVLKiiZ97kEPr14BXCKlXCGE6AR8iJ4Z70Mp5U1CiKuBGxvcGhl+vQj4CagN+P+KlPKZfa3J8KIxMGglVZtWMdaWxPhhY/bRozXaYnPu2bNP1abVVG5Ygd2ThG/zKvJnTaNs6q0UzJqGNTIWa2RsK9bS1hBoWvNKK7ka2CKlTENPlH1Tw0YhRB/gDKATMAV4Ptz0NHqe1nQgSwhxopTyv1LK7HDOjWHAFvT81xnAG7Vt+xPuYGjwBgatxux082mwkEcvzqVkyY94+g8Lt+xNQBw4LEE9B/KoaVxvtjuxRMVSvXk1NQVbcaRkULXud6J65pI8egIAsSmpzZy77SIlKIfXBj8auCV8/T66Nn9fk/Z3pJQhYKEQooMQwoUeZv0cKaUUQswETgUaJhJ4BHhCSukXQqQB25u7oNbmZDUJId4QQuQJIZYLIU4QQhwnhFgjhNgqhLi5NeMaGBwd6AI4VFXBu3M+5M53F6MpwXCIgX0J8cNn+7VFxRKV2YPk0y4isnsu1ph4ovsOod1pFyE11RDuDTjMGnwaUHsAogBot592gEJ0s0yZlFLu7T4hRAbQD/g8XJUOTArL2s+EECn7W1BrNfhxQFx4sm7ADCAIXASsARYJIWZJKTe3cnwDAwODQ4oEWhCpIF4IsbjB61eklK80Y4pQg+um0zVsr329t7qG910OvNDgC2AD8Bi6wL8SeBE4e18Laq2Abwe8GZ50jRCiF7BUSrkcQAjxKXAK8HIrxzcwOMIRmO1OAkUFPHh6Zl343r8CqalUF2xDqioRKelsevEeOl31AFLV2l7avYOkBZusxVLK3H01hjdLL2xS3QVIAdaF/+Y1ad8Rrq8lDl2L9zSoa3rfBPRN21r+T0pZGV7D2+ipUvdJa5NuvyCl/Dg8yRVADY1/euzt54mBwVFOfZgCLRQEIH7AifR57oPDINwbSyKpaWghBaWqkqC3vC58AeieNO60TFwdOmG2O0k4+XwqN60yhHsTalXj5pQDjiXlQ1LKng0LurC9ONxlIvBlk9u+BC4Mm7iHAxuklAHgdyHEiUIIM7pA/xJACNEV2CmlbOi+NVMIURtUaCywcH/rbPUma3hz4N/AIGA4cHuD5n3+GhJCXIn+04K0tLTWTm9g8KfS1EVy97zPaDfyXEBgcboPw4yNDzzpybVN4Gh88KkhtfWxvQYehvW0AeThdZNEt1jMEEJsAlaim6wRQrwF/EdKuUgIMR/YCJQDF4TvuxXdzO0B/ielXBKuHwQsoTG3AG8IIZ4EtgGT9regVgl4IUQEMB+Yh/7zwUPjnx4p6G49exC2Y70CkJube2ylVzE4yqkXuiFvGYdz43Rf7Eu4GxwYDX2j8HAhpfSja9VN6y9rcH0fjT1rkFJuQPekaXrfm8CbTepWAcc1d02t1eCvBn6SUv4j/HqHEMIS/kmxAxgDnNnKsQ0MjkAauzlqyuEUFbXsGbbgQByr2ZqayzEWqaDVAr4/MEwIcWqDuonAx4ALeERKufMg12ZgYNBCak1JUR7PAXoee7TQi6ZN0CoBL6W8ZB9NPQ9iLQYGRwkSZ2rnZvc9OFPOvg89aSEFqaqYrLZwCINjK85Ka1Bb+IvoaMc4yWpg0CwaZnCSVHUZQAKwfwEuUQM1mO3Og5x770LJZLFCnU1eX4Ohue8bybFnojFi0RgYNIN6wakLW9uvn9P8JB4Hw57CXQ3U7KPfsaWdthSJJNjM0lYwNHgDgxYhUAN+lNLa5B77F/LCfOgPP+2ZTETH2GA9MIaJxsDAwKANIgVowhDwBgYGTWh40Kly02o8+wwRDIHyYtSAH5PFhi36YMP0Ns9V0tDem4fhRWNgYLBfLO7o/baf02swd/RLICIpmj7PfYDJYjvIGVvuD2+wJ7qb5LH1HA0Bb2DQQtxpmdQL3T3t7zMXf0/eG4/T7uzLD2EYg70JecMtskVI0KQh4A0MDA6A1NR9BBiTKN4yPMPOJLJj9iGede8C3XCNbB4SiXKMOUoaAt7AoMWIBsJd93XXFAWT1YrZ7iC6Sy/o0vtPWYkh3JuPYaIxMDDYg6aRJA2OTgwBb2Bg0EL0xB9Y7ZhN+rlBLRQ8BBurB8bQ3luOZgh4AwODllIr3IFDKtwNIX7okEhUY5PVwMCgFm9JCaqmNRLgBkcvhgZvYGDQCF24NzcqpL7pqgZqKP7pSxbc/iIZA6NIPPkMnBnZJBx/Mv6inTg8SShVXsx2xyEIRmbQHCQQlMfWUSdDwBsY7JeGgr05Ql63yZvtTlJGT+C80RP26OFM0JOf2aIO9pSrQUuQyGNOgzd+dxoYHMEYHjyHFlXKZpW2wiEV8ELnJSHENiHEr0KI1EM5voHBn4m3pJjGGvtfc3LUEPKHBj0evGxWaQ1CCLsQ4mMhRJ4QYrYQYo+YFkKIe8LtK4UQvZu0zRJCZO+vrxCikxBiabj+mQOt6VBr8GOABCADeBZ4+BCPb2DwJ1P7n90IC9AWUKXWrNJKrv7/7Z1daBxVGIafN7EgBkSkhVowAUUFqQS04oXFGEGRqq1QMBi8CKhFECn+9FK8EKReCKJVMApGxdqitAiN+IMl0F4YibSxJa22tmqtJSr+QEXbRD8vziSZrLPZTLrZmbN8DwzZOXN25t3v7L5MZs73DXDczNqB3cBj6Y2SOoE7gMuAB4AXkvZrJW0H7q7VF3iO8NDuDuAqSd1zCaq3wa8B3jAzA3YCN9d5/47TQEQZjN2nStYHM2PC/p3XskDWAAPJ6+3AbRnb3zazSTMbBi6VdAHwM/AWcLBG3zbC87B3JR77bsYxZlHvm6ztwA8AZnZWUqukFrOZiEnaAGxIVs9IOpixn7KzFPilaBELJFbtrrvxlE17x7m8+bT989Hev36db13l8yWNpNb7zay/xnum/Q/4EViesf3j1Po4sMzMvgNOSHqiRt+lwG+JuU8do2suQfU2eAMmU+uTaXMHSILUDyBpxMxW1VnDohOrbohXu+tuPDFrz8LMbl/sQzDjf6EyQvXt1frM1TfP+4H6G/xJYAVwQNISIOvhkY7jOFEj6Umgp6L5CoL/fZX8/b5i+5Q/TnEx8FOVQ2T1HQfS1+uyjjGLel+DHwR6k9e9wCd13r/jOE7hmNnTZrYyvQCbmPG/PoIfphkEeiS1SOoCjpjZ2SqHyOp7BtgvqVtSK3BfxjFmUe8z+PeBOyUdA04A62v0r3VNq6zEqhvi1e66G0/M2ovgFWCbpG+AA8C9AJLeBLaY2eeS9gBHgd+Be6rtyMz2V+m7CdhGOJMfMLMv5hIka6JJ/Y7jOM4MnsnqOI7TpLjBO47jNCkNN/gYyxlIGpF0OFm25U0XLgJJ6yRtTl5fL2lM0reSHk/aSjsOFdp7JR1LxX910l415bvBWlskvZ5oGZV0YyzxrqK91PF2cmJmDV2AdcB7hBTBHkLma8N15NDbCuyuaNsJ3JV8hkGgu2idKW0ilIkYBzYnbSNAJ7AE2EdIfy7dOFTR/hRwS0W/TuAzwiSBG4ChAjWvJ0wuEHA18GVE8c7SXup4+5JvKeISTWzlDFYAp6ZWkulJudKFC+BTYCuApEsIN9NHzWyC8IO+lfKOw7T2hHbCjKw01VK+i2A5SRzNbAy4hnjiXal9GeWPt5ODIgx+VjkDoFVSme8FdACdyb+ww8Bq/p8uXJmSXBjJj3UXMJo0pdOnYUZv6cYhQzuE+L8s6ZCkF5MEusrPNE4wp4ZjZi+Z2Q4ASQ8SkvtiiXel9iOUPN5OPor4gtUsZ1Ay/gReA1YRqsV9SM504YKplt4cyzgMARsJZ8YXAQ+zgJTtxURSm6RXCTq7iCjeFdr7iCDezvwpwuCnU3AjKWdwmJCkMGFm+wgV3zpT22umCxdMZcrzlN7Sj4MkAc+b2ZiZTQLvACvJl/K9qCSXKvYApwknAdHEO0P7cUoebycfRRhU20NAAAAA0UlEQVR8bOUMNgLPAki6HLgQ+CBPunCRmNlJ4DxJVyqUG11LiHkM49AKfC1pylzWAsPkS/lebB4C9prZo2b2d2TxnqWdOOLt5KCIZ7LmLWdQNFuArZKOAn8A9xOuQc47XbgEPALsANqAZ8zslKTSj4OZTUraCAxJmiScbQ6Y2cR8U74bwHXATZLSN9r7iCPeWdrLHm8nB16qwHEcp0kp8+wVx3Ec5xxwg3ccx2lS3OAdx3GaFDd4x3GcJsUN3nEcp0lxg3ccx2lS3OAdx3GalP8ANURw8hVElq8AAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.pcolormesh(raintot_diffs_time_mean_landmask,vmin=-0.01,vmax=0.01,cmap=cmocean.cm.balance_r)\n", + "mp.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-15T14:57:49.273Z" + } + }, + "outputs": [], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-1,1.1,0.125)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#dry_lon_lo, dry_lon_hi, dry_lat_lo, dry_lat_hi = -60,-50,-10,10\n", + "#wet_lon_lo, wet_lon_hi, wet_lat_lo, wet_lat_hi = -80,-75,-10,10\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-0.5,0.51,0.1)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "# levels = numpy.arange(-.75,.76,0.125)\n", + "# ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "# ax6.gridlines(ylocs=[0], color='0.25')\n", + "# ax6.coastlines(resolution='110m')\n", + "# contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + "# levels=levels, \\\n", + "# cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "# ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "# ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "# ax6.set_yticks([-20,-10,0,10])\n", + "# ax6.tick_params(labelsize=fontsize)\n", + "# ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "# ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "# title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "# ax6.text(s='mm', x=0.05, y=0.03, \\\n", + "# ha='left', va='bottom', \\\n", + "# fontsize=fontsize, \\\n", + "# transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "# bbox_position = ax6.get_position()\n", + "# cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "# cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "# #cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "# cbar_axes.tick_params(labelsize=fontsize)\n", + "# cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('figures/MYJ_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## for cesm talk" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-15T03:08:31.076Z" + } + }, + "outputs": [], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(11,7))\n", + "fontsize = 18\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "levels = numpy.arange(-.75,.76,0.125)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['','',''])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['','',''])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['','',''])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['','',''])\n", + "\n", + "fig.tight_layout(h_pad=10)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='$\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='$\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='$\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='$\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='$\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='$\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/cesm_workshop_precip_lh_etc_maps.png', dpi=600, transparent=True, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot climatology of these variables" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-02T05:41:27.287058Z", + "start_time": "2018-07-02T05:41:19.109426Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(0,10.1,1.)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_400_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='gist_earth_r', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(0,3.51,0.25)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(0,151,25)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(0,31,5)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_400_time_mean_landmask-273.15, \\\n", + " levels=levels, \\\n", + " cmap='Spectral_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(0,801,100)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "ax5.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='magma', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# prw\n", + "\n", + "levels = numpy.arange(0,61,5)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "ax6.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_400_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='YlGnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,1,2,3])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(280,301,5))\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,200,400,600,800])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-0.2,0.21,0.1))\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/CLIM_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# as a percent" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-01T22:07:12.349746Z", + "start_time": "2018-07-01T22:06:59.400044Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: divide by zero encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: invalid value encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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Qn5NN8+bNeaZ/HzZt3EDfezrR2K8mM97/H907tOWzzz7Tn+nVhOsu9CeE6AU8BIwE2kqStEMI4QGcBp4GNgJzgQRJkl4wtW8NfAr8AjwqSVKZk61CCMloNGJnZ8eL457g/Q+nyNvzkvj++++Z9fVyDh49jY1N5TmkFi5cyEsvvUSPHj1wd3Pmnsce40RCPA3uisTRSZ43Tt91kCEDB1I3LIxHH3+Mu/v2pna9MHztHLlgzMX1/GG6durN8Jfe4fXX5biKzMxMkpKScHJyIigoSD1fQUEB+/fvJz09nYyMDLKzsykoKCAxMRFHR0f27dvHvn37eOutt3j44Ycr7TrvBCqr+FlV27oQQlJiuyZPnozRaGR3z3sAyC0s5PFde5n366/07dv3ei9F5fz58wwYMAAhBHXr1qXR/r2IhGxC63vT+m45Y8u9UW0iX/mC+PQsnnjiCQYOHEj37t1xdHRU44Xmrt/D9I1HiI6OxtnZmYKCAi5evMilS5do1KiRmYc1Li6Os2fPkpGRQWZmJnl5eeTn53Pw4EEaN27Mzz//jMFgYN26dZV2nXcKlWHrN+qZnpGRgaurK1PencwDcUeYNk/2eMfZZZHZtjEbN268nssowZdffsk777xD9+7dcTi8i+EPdyOj6T10CHDC3k7O3vpx1ymeGPU8TcJCGTpsKA/e24ea9ZqrfWSeOUKPu7swadpnjB49WvasZmSQlJSEm5sb/v7+atv8/Hz2799PRkaG+kwvLCwkNjYWT09PtmzZwsGDB/n000/p3bt3pV7r7U5F7bwy5nU6mPrRGnQ/YJ8kSctNg/kY+BN4ARCArekYAVRIYRkMBjp06EBNr0AyceLn2BMAdH7yVWbP/4OlS5fyyCOPVMLlQExMDC+++CJrls+hccMwJAd/MnEivEkTNiSdA2Mug0IasMhOHnrPAQ8xfsIELhjlYLTdaabof9dQvpgzk34Pj+b9999HkiSEEPj7+3PlyhU++ugjnn32WYQQfPvtt4wcOZKuXbvi6uqK0Whk9Wq50qenpyf29vZERUVx/PjxSrlGnWvihth6nz59mDx5stm3REdbW0bVrc0777xDjx49sDM9kK+X559/nkgnI+8NvAcbG0GKRz7Jh5Pwaeqv/ra1scHX04349CymtwsgZd0iEtYtImzGYlKOxuDVpC4jurZi/p/b8fT0xNbWlvz8fDw9PXF0dCQsLIyffvoJX19f0tLSaNmyJTVr1qRevXq4uLiwdOlSszEtWbJEF/E3lxti5y4uLjRp0gTJxUtOFed5ps3bRxvbmszYvJ1169ZVmidn3759fPjhh2xY+Sv1DZnAUAAu1e2IwZhK9oq5ON4/AkOM/Ax/6qmneG7kM1y28+DEpRxAzvoKCQrkhQ7NGDdmDBMmTKCoqAhbW1v1mT5z5kwGDRqEEIJp06bx6quv0q1bN1xdXUlPT2f9+vUABAQE4OLiQmBgIKdOndIFThVx3QJHkqTJAEIIbeBAM2C/5vURwFcI4QKsBZ4CzgDvSpKUVdFzeXl5IQrSmbdwAUvX/02HMc8C8OH0OTw1ZAi+vr507tzZ6rGBgYFXc1k4ODjQb9DzAJz6T/5m4WvnyJ8HDnI2MYkHngzlyzfe5q677mLHyl/ImTCRDRdjAajr5qHW7BnUcwintmTg7FEHg3MgTh51+Oe9Dhw4Wci7r4xmwoQJBAcHk5F2nrnLlnDYw4leYQ1o6uhGj7ub0aPPQGbNmkWtWrU4cOAAPXr0uOpruV4SEhJu6PluVW6Urefn5xMeHs7Zs2cZt/8gbzRsgL+TI119avH7tv0MGzaMBQsWVIrI2bp1K6vGPoCNTfGXIZ+m/mZtFu84TIa9Ky4uGaw7cpq7LGIjUo7GkHw4ieVP9KGgqIjCIgkHgy0GGxsKi4qYsfMotWvXJjAwkNTEeHqGBfJ2lxYYbGxIPpxEWIP6LMeG+vXrs3LlSr766qsbFmukU5Ib+Uz39PREKiris++XkC2cGdi4FgAx0Tk8/vjj/Pnnn7Rq1eo6r0i28z5tmlHfkElRcIQa2OxpTMUm7gjOke04m2vgf69NomXLlvz5+288MnI8MSZxo5C7Yi5NkopImvMaDhGtyTm0kyv7ThC3NY7lGfm8/MSTjB49Gj8/P3KT4vn7jacISk4DYMrv0bhgy7MvPMf06dMJDQ3lv//+w8PD47qvT8c6VRWZ6wacU15IkpQnhCgA3Eyuy0HldSCEGAGYpYy8+eabjBo1ir17vwDgng4d6TikJQluHgya8g4PP/ww3333XaW68AHSTv6EIfxpdqcls9bkVdm9aCzpF5L5LzGRhnV8+L/fl/Dl0sWIWr7MeO1VuviHAuBCDgUOdjg7OYKUwj/vDcUnKJhIYFa4F2F9niI53Ynm7Qfg6OiIyEsCMkk9t5JpE7oyd+k6GoR6kpCSw3333ceTTz7Jxx9/XKnXp3NdXJetW7PzNm3a0Lt3b1q1akV6ejofnTjJ5EYNKDydwcvuQfzfspU8mv8oCxcuxNnZuUSf8fHxfPPNN7i5uTFgwAACAwOxtbUt0S45OZnstMuEeNVUt3k1qVu8/3ASAIv+3s2ktz7AYDDwxUdv8ftLQ0g5GsP2bvKXCZ+m/vg09Tc7VssHTevxdmEhZy6mYWdrQ51axQ90ryZ1qXXkNGkrd7F/21b8/f2JjY3l22+/Lett07nxVMkz/b333mPcuHEcOSILji973k3XED8eBwqjE+jbty9Lliyx+sVVkiQWLFhAUlISzZo1o3PnztSoUcPqufft20frRnLmrSJuLtXtiKdR/iKafWAbMXn7EZLEjh07qB3ox6ote2jYNFLtw3nZFHZ9sprg9sF4RnWiKDgCp/BWODvMxb9tBK2BD4FL6Vmcu5RG6zFvYmdnp55v7ugRpN/1NCunz8UDO1JSUhg2bBgDBgwo763TuUaqSuCkAWqBAyGEvelcqaUeYYEkSXOR53kRQkgArVq1Yvv27UydOpW6desybdo0fvtyLi/MmEp461a8Nn8Oo0ePZs6cOfTs2RMbGxuKiopYuXKl2m/TiEasWfsPTk6OtGvXnhkzZtCkSRNArncwfPhwli1dzCcTevD+fHn9K/fwwXwTe4JZq/6iZ58+ADR22Yu/twPTp08n+UoBJ2yA7Cykc3KgZZidhMhL4tz6uZzcvBafoGCS4+PwCQrGvU4jQF5qwqNmDWwzT+Lo6KiO8dy2ubgFhlM3yIOPX7iHk5vXcjwmhZnLvmN0fr7arqo9KzfaU1RNuS5bt2bnNjY2zJgxg379+pGcnMzGjRt58pdfuCfflkdr1OJV92CW7tzBgw8+yF9//aXGnp05c4ZFixYxa8pHdK3jz6/HzvLSSy/h5+fHSy+9xMSJE9XMlFWrVjFixAiaBvtazVZRUtWTDyfRx82Tz158kRb9+tEwX3B88Vag2NNTmrDRYmdrS7ifl9V9Qghevr8NyYeTqBXhx9dr9/Pwffdx4MQJ6tYtv2+dG0KVPNM7d+7Mzp07mTZtGqGhoXzyySd8sXc9n3SL4gnAMTqJwYMHs2TJEtq2bYuNjQ0FBQUsX76c77//npPbNuHhYM9rSZdwsjfQ5Z4efPHFF6rdZGRkMGzYMNat+YvHFy9UvTdFwRGcuJRD+/Qj6mKfgY4GsovimTVrFjkFEgMvrsdOkx6etP0IrSf2IWn7EU7PlkWNFudIuVRJiOmnyMLDWhQcwQfD72bposPE5Ri5kmnkty+/wcbGhpkzZ1b0bdS5CiptNXEhxFnk4LIdQohngH6SJD1g2tccWCJJUvg19i1ZG6ei4F//32ReXfUrfx44SMips8x75wNsbW154403WLVqFVJRAUnn5bgYG1FEnRAf3n/rZQ4cT+SDjz5h9uyvaNeuHUOGDMHTw5Uvv5iGY94xGrUfCcBfh/cz79Bu5v/xJ4H+/mwaNR4Xcvh3/SYmv/Mxzbp3pdWwQcxa9RcA+0aNIO3kT+xZLHua9h5NJC61kGAPW1o2CcAnKJhDe+V0w2Yt5XVYmj82DcnBn4KU3Rz7/VPc6zQioFlf7FzkQOR1Uway8O9Y/jxqxKOW7L6/UQKnuk9RVfYKy1Vl66XZOcCFCxfo2bMnDxcaucenFoWSRMcNmwF47LHHcHZ2ZtmyZQwZMoSGp/cye89xLmbl8mRkOJ1C/Xjtn93UcXdl+l8b2LZtGy+++CLfDu1Bu/rBqsDR1t9RvDcA4Y+05Yk5v5F+OZ2h2a5ElOOxqQhK7I727+OLt6qi6fnV2+haO4CJa3dc8znuRCrT1m/WM/3zzz9n7ntvsax/N+K2xrEgOYGFl5JwFDZMmvwmC6ZMxT/Em8Htm3PaaMfi5atpHhbEyLpBrNkWzfLMS3z/6280adKEgQMHUq9hY96fMpVAQy6X7TzUbC3nyHZseHwyS4/J1cH/79thrLEN4eO33+LRtk15ceILZB/YRtL2I2ZiJmm77JGJ2xpHcPtgALP9zpHt1P61ZB/YRnb/V/CO2cyU9s8BkFiUx9L8C1wo0otmXg03MsjYGsuBqUKIjshztR8CP1b2SYQQ1K9fn8TYOFxiEugQGMi9d7Vj7ODH+Wf7No4dOMCEF8fQoVUd2nR9DIA1a/9h8+bNDHhsHKuWzeOHrz/mq3kz5OyQQYP48JOpuNjmg0uUep7YrHROJsgP/ISkJH6OlZeN6Na1E6Edil2nz4waQUHKbmLXv8PJzWsBOH8hTd0f6C1PJ6xesxOAuNRCEi7tpGWTAFLPbcDFqx7Hfv+UQ3sP4xcfh1tgOC5AZko0PkHBPH6PxJ+aD6GYmBj9G+7N54bYuq+vLzVr1mT9f8dpXtONvKIi/mx/N6lGI2u3bMIr2JODBw9y5swZnn9+Cw+OGMuAAQN4qk93Lmbn8O0DnZi9+zitmzTCxdefZaPup1XnTuRE/2d2Hq2wOX/sEn6NvbG1sWHR6AFmnpuKiBv3ER9arcoM5l4fryZ1SxQ3bO7rxVsb9jKjpgvvzfiCYcOGVWqWpM5Vc8Oe6fXq1eNEWibxPu7YR+bQe1cevT28OZKdyakv5/LegoU0b9GChfO/5ddv57B5/yFWrFjBmP+9wff3diQqPYsZY55hy8V0Bof5M2Ty/xGbBU7e8tTo6dlzidsax84zP5U4/wN9e9OrUI6lVOrz+LeNKCFyLFFEDwCmtsrxWjyNqWbbfYQ9aZKRGsKWBwYPYurUqbrnvBKpEg+O6fX9wOdALWAJMEqSpGuSqWV9swWYP38+b731FnFxcXh5eeHv78+9DzzAS69MwjUvhsat7iPfKB+veCNatGhBYmICh6OjcSGH08ZiMehr54gLOdRveBcAc3dsJCY9lVmr/qJ2gD/3Rjani38osVnprDl9guHNogizk0g7+ROxW34nOT5OFTYJl7KJSy0kI1eiR1M3AHacyiAjt/h6XB0FD3aQvwmcv5CGn6874R2La/uknZEzp5Lj49hyIIEfjnkCkJKcyHMvTOS9994zm+KqLHQPTqn9naUKbL08Oz9z5gxvvPEGP/0kP5g9PT1pALwYHkaQkxPRTz3LyJEj+eyzzxgxYgQ2NjYcOnSI5s2b8+OArrQO9ClTmCgiQ2mj9agowudqPTfuIz40e20peCy9Rsr5ajasTXJ6Fkf3HueDTfsplCS+WfEXrVu3rvC570SqyoNjen1DnumSJDFr1ixee+01MjMz8fDwoHbt2rRJvMiMI9tJMbjTIDSQjp278OXMzwkNleMdvb29CXVz4MfubVQxkrT9CDWnLlT7PnEphxabPldjaep8+LkaI6NMX1lOPymeGEWYJG0/YhJIaepK6Io3R+vVgWLPjraPXZ+sZumxiwQ72dGmjjvpBQXsjE1jZ8EV9knpvPjGG0yePPmGFa+tjlTUzivtK5EkSbWVG8H0eoUkSXUkSXKRJOmpa70RKsJTTz3FqVOn2LBhA+fPn2fevHksnD+fe+5uxSczvqVju5JR+D179mTgo4+abZt3aDfzDu3m/b2b+SY21mxfF/9QNo0aT3igP8+/9CLNHujFzE0bAFkQFaTsBsC9TiNVnOw4lUFcaqHax7rD6aw7nM7d9V2Z8GR7ejR1w9VRkJErsfdoInuPJpJwKdvsvGlnjpMcH0dyfBwAHSKL1f03OjHBAAAgAElEQVSDzez4+ZtPeeSRRzAajdf47ulcLTfL1uvUqcOPP/7I7t27SUlJ4dChQ9z9xBN8kJPPA0eO06BBAwwGAy1atFC9HX5+frjY29GhU4tyhYl2ykjLtYobKCloykKbvWWwtSHAw5W7/L1Z+kh3nooMp3fnTmzfvv2qzq9z7dwsOxdCMG7cOM6fP8/WrVs5f/48M2bMYElBDs3bd2PR9/Np37ETBoOBkJAQ9bj+/ftzb4sGgLlH5crLQ9W/G3g7me2ziTti5lHZ8PhkABzvl2Ohs/u/wqW6HblUt6O6zb9tBMHtg2lTx524rXHEbY1Tj9eKG+04lHPs+kROUlGyxQDcDAbchIEedl7MrtOYFZ9O46mnnqKoqOiq3zsdcyrNg1OVlPfN1hr79u3jzTffZPfOzXTr2Iotu08Cxd6I6Oho2rZty4dzZ3N3506qN+ZkQhLhgf6cTEji8KS3AHh17XIGhTTANS+GV44kMHPymwA06NefkwcPcPDz2cVBxdvmArIwWb1mJ8eSCtQxuToK7q7vCsixN4qnx8/XXW2jDUI+uXmt1fidAf8nX8uzzVM5m1LAvycLePDxsZUeqKZ7cG4s12Lnubm5fPvtt4wdO5bx48czY8YM3n//fd544w21zdChQ8k8voc5T/fD3lAym0qLVtwc+vkwB6/k0autbAeNHm1/VWMrrd/ShFR5bDybxCvr93Dg+EndjV8Kt7Otb9++nQkTJnDxwnnCGjRmzeo/SUtLo2ZNOQtw//799OrVi5ltGxPp66keFzbaJFZM3hNA9bbsPJNGmzry83fnGdnr/tyswWT3f8XqGJSsK60w0vYJmAkeZbt/2wir57ZGvlTEgvxEhr7xMu++++7VvEV3DBW189tW4AAYjUYmTpyIu7s7X3/9NWD+Yb1161Yee+wxJn09m4Ft2nPBmMuGpHNqsHDG9K8AOci4XlEi57bN5XSLl7hviFyETITWRToXQ69RY1nQ7xFcyCHt5E+kJ5wk7cxxDu09bOaRUQSKNpsqoFlxSntmSrS6iKiWxEOrmPzW1/Ro6kazlk1VgTN7iBPLt8Rx7nIhO88WsnHbHlq2bHnV71Np6ALnxnKtdg7wxx9/8Pfff3PvvffSq1cvs335+fmMGzeOwpN7+HRIcUExS9Fh+Xr9/35nzYUsnugaqm6/VpGj1MpRsKy1Ux6KKOr32Y90ahDK6z+ttpoif6dzu9t6VlYWkyZNUjMDLdPC16xZw/Dhw5nfvhFBrjUIGz2ComB5mkgRJYrQUKaYlGkkZdpq6aLDvLJ1JlvdzD3/liufK2Ind8VcddpK6Tcup9ij/uLwuwgbPYLTs+eydFHZa1m1qePOzjNp2NYSzLsQz/LdO2natOnVvk23PTc7yPiWwM7OjhkzZgCoAkdL+/btee211/jhgykM/OMPAE5dTKZ2gD9nE4sfxrFZ6YS5+xPQrC/r0lNxiWpL5tFDhDeP5MTFCwC45sVgzIzHxasesVt+lwOFfd3x83XHJ0hW9iEdHpB/m/r1CO1ChoP84HYhB3evKEReEqnnNuAR2gXJQf4QCGgGQ7uv5fyFNJN3RxY44R17cveFX8g7no53jSI63N2KGbPm3PAVp3VuPv369aNfv35W99nb2zN16lQi6oaw/2wS7bp3lXeYRIdPU/8yvSlKsLEiSpzqNSQn+j+c6jU0a+fQbZj6d9rc10uIGi2W25VzQNniZ1CbCH7Ydoi1EfVZvfsQXl7WU891bk9q1KjBrFmzSt3fq1cvxowZw8xfF7BgzEBV3CjIsTCrVc+Nf9sINT6m9US5zcBS+l54QLbZ1kHuNPB24rKdB57GVJwj2xH3yeoSwkZh2rx9BC96zuo+gGAn83TyNnXcuVxgpEmwN13bRDFr/vcMGlRumSEdK9zWAqciDBw4kEmTJrHz8nlquxZPFdUO8EfR2jM3bSCkTz9wa82fW/8g0N+fBODkwQOs/Po7ujllYsyMJ/HQKgBV3CjCxjLlW0Fy8Gd3WjIhNdy4gCxGtf4bueifTHjHnpxf+osacAzgFhhOp4GP4Ld5LQ6GOJKuFPHScyNJTEzklVdewcnJiaKiImJiYrhw4QL29vZERkZWWpl/nepDzZo16d3/EfaejaWFReaUFu300cEreXwlneU3vyYlPDdO9RpiV7sxBZ6yXDdcjiXv3wWAudBRlnzQYhm4DJQqbrSBxwCPtW/GkHZNeXvZBtpFNGD5v5tp2LAhQgguX75MbGwsly9fJiIiAh8fn4q9OTq3FQMHDmT27NkkbT9CnfuLtysp31qSth+B7UcIGz1CTe9WvT5XittNWXdS/bt1kDsnLuWoHp3Ts+ea9WkpWOJyjCXEjWUbSzwNdjyPL/f7uzLu8aEkJCQwduxYHBwcKCws5PTp0yQnJ+Ps7Ezz5s2tFvLU0QUOTk5OFBYWUiMrD1yhfi0fNSVcYc1X8jeG5zp1ITzQn61795G5Ww52DKnhRuoZuZCgW6BcEkLJglLEiFtguFVxU5CymxC31vjaFWdAGVPi5d+Z8WSmRKvb3QLDuW+8HPvD/00FwMWrHi5e9Uzn/YKFf8fStb6BLz99l/fffQc3J4EkQXa+hIuDoLBIIisfuvfsTe/evenfvz/BweZBcTq3L7Vq1eLono3QxXwaUysiFK/Lmu0JnM8t4G2nemoMjkJO9H+4de+vihuAAs8QlEd2RQOLKzJNpR2XIr6EELwzoCuBnq50atMKY2ER9Xw82Hs2iSZBPrg62nM09gK+Lk70HjKMBx98kM6dO+tZKXcInp6exMfHk1cQqRb1s4k7Ypb91KaOO60nykVbLevVAFy282BXvHXv4674NFoHyV+GbeKOlIi5sUQRM3E5RvVvJe4HMIvFsYwJalPHnem1G/Lhm//jtYkTCXCrQV5BIXmFhfgJOzILC0nOz6f7fX3p27cvDz74oNmCn3c6d/wd/9dff9GwcWOaBIWQXCAnBYQHygaieHAa9OvPvZHN1SDkQH9/EqLaAmC35W3STe0UgdNl7HQMXlEENNtN4qFVJeJqJAd/RF4SmSnR1HMJAlMugjEzXm2TeGgVAc36kpkSrU5XKdNXlrh41cMnKJgeTdNIuJTNXSF2+Hk6IdnXIDHNSNNgJ46dOk9caiG5RonzMX8z7d01TJrwAjUcBCvWbqZ9+2sPINWpHiycPo0pfdqaiQUFrTdFETd+jgZ6tQ206r0p8Azhio0LADWL5DUZFcGjTGEpWPPYVAYjurZigI8nKdm5RF9Ox+XupjTxkWudFBYVcfxSGlv2beKlJT8Sn5nDs2Of47333sPe3r5Sx6Fza/Hbb7/RrXEdkncmUrvjNpRILW1gb3D7YDUrqoji+BznyHZqlWOF9ceTOXPiktVzOR/YpgYNQ/meGUuC2werY9KKHu1rX3sHZtRphFEqIiEvj/PGPO6q4Ya9KVPyn5hLnFmzmzmrN/DKuOcIcXBi4dZNtGjR4qrGcjtyxwucyMhI4mJjcc2LQTiGAbIX59TFZLXNkmdG0u79twEI9PendoA/Y/v2psfp+bgFhquxNC7kqOniAHYuQYS2G0GGQ11yQd1vh7wcQ2i7EWqcjchLws4liNRzG0hPKHaHpieclAWSSfx4hHYBppZ6PUrGla2NwM/LniAv+WHep1ebEtlZRxKNJF6RuKdLB6bPnM3IkSOtlu3XuT1oe9/9JKbJywkpMTfa2BeF87kF9PKtYRZ3o4gidWpK014ROiCLHbvajQHwwnzJh4pQXoaVZQVkAC9nR7ycHeVzmGalbG1siPDxJMLHk1GtGpHt78X4OYu4Z9s2lixZgp+fX4XGo1P9iIyM5KP4ZAjwIGn7EcJMU0+WKDE0luLmsp0HkEPrIHd2xaep4ub80b2m39D1jaE08HbCObId/phnTinTUdbEjtaL02XRexQFR/Dyh3Dm9efL9ARpvTwC2H8pXa3Bc4+mnVEqYsOVy7S7qxVfL1rAY489VpG37Lblji8NWqdOHZAkYuPkB3Bdt5Iru25IOkdW8gX19XOduvBEDfm11juTWbxUixo/owQRq21Solk3ZaDq7SmLzJRo3ALD2TDrBT4d84jZlJW2TeKhVSTHx5kVEEy4lM35C2lmlZTdAsNxCwwnvGNPWjYJoFezmgS529C1voFXXhzNmDFjyh2TTvWlbdu2RNct/lZnLavp/LFLVsWNNRTPjRbD5Vh5uqp2Y5zqNVTFiLIgp7VpKWvix6tJXcJmLLa6vawxlSakgj1rMuf+DrTITyUqKoqjR49abadT/YmMjCQxr4DMwgL820ZQFCwHEitZU69snammjoMcQ6MVNycsVhAvDSWLyjmynVoXB2RhY03clOXdCRs9gk4bf1OnzRR2nkkrNXjZGnbChh7u3nxetyFjHn+S11+veB2q25E73oOTlJREfl423i55JBlz1YrF1gj092ffqBEsGtuETy9lM3jUk+o+F+SbQmhibRTvjILi3Wn16DhAnpLSmrwxM97koTH16VVPXabh2N+x7Fn8BV3Gmk93xW75XV36QRE3x5IKcHUUQLa6PIQlSgB0D2QxFBlkYMY3XxEWFsaoUaNwcXGxepxO9eXAgQPUPncYmlsX1z5N/VmzPYFebQPVon6WmVIKhstyIcyamjgcZRsUx+RYLgVR2nkVtB6atLmvEzZjMafHP1piH5gXIFR+awWOZYByrYgwxguB097jjB07lilTptCmTZtyx6dTvTh58iRuNhINOtYGTJ6a4AiemzVYFTIA3jGbSwQIW6NOA9nDuf7tSQCq1wcrDhdrsTVmU0+mbTvPpLGz/XM8N2swjvePKJHtZQ2t9wcoUTUZimvxBAPf2dnz+EdTCA4O5qmnnqqSave3One8wMnMzMTOYODnP/fT6Yn2nLqYzMmDBwDQypPw5pGM7dubRWObsO5wOo39DaSdOW5WxwaKPTYXjLn44qgKH2URzcYPTFADjlPPbYCUaNzDBwNgR7EoSk84SXrCSTYt/YV1h+Uon4V/x9Lq0WIvzoZZL7D3aKJZMUF1HBpPDpiviaVMVQFqKjtAXFocH789iZSUFD766KOKv4k61YLUdWvZZcxhUJMwHAy2nD9WHFeQfDhJ9t5oxI1b9/7qfuPZY2Z9Gc8ew652Y9VjoxU3hsuxGM8eI90kboIekO+RnOj/rBb8g9I9MmlzXy8RL6Rta+kRKi1wWXvMc4/0IOfPLfS9pysxCUlqoTid24OcnBzyC4v4KyaBZ9o1xXnZFKaO/YmXY9dzyc4D52VT1PgbQPXyyFNT5rQOcmd8E1kY5C6bYjUgWZn+0oqN8gKPAQY+3lQdhzJdpmR5aaekSvPeKN4dKBm/A9C4Ux1eyc5g1v9eJyMjg0mTJpU7ptuNO36KysvLC0dnV7xCI4nNSmft7n3U8PE1a/NMSAhj+/bmmZAQVWyALBTsXIJUUXLaKLhgzOXn2BPMO7Sb3WlyHE/ayZ/UFHItLl71SE84ichLUqsgx65/h9gtv3Ny81p++uo7s/MBrJzxvvr3+QtpVsWNwrGkAuJSC9lxKoOES9kc2nuYQ3sPq8s/nL+Qhk9QsLq0RKeGrrQOsWXOnDnk5+df5Tupc6vTatRonAvAztaG5MNJHLySZzYVZVnrpjQUsaMVPQWeIWZZVQpl9VMe7iM+LCF8rqb6cWliJ+90PO8O6Eb3Ns1ZsGDBNY9P59bE19cX+5oe+LnIIQNJ24+oAkAREcr6U0odHGVqSpmeauDtRPv0PbTY9DlnXn+e3BXmnh5rHhfLxTi1oiO4fbDZNBZgNk1muc2aYCkLRehYCqt2rh485xbAzJkz78ilH+54D864cePoc//9uEY1Y8LinzjxxzJArlKscOjbR4kCnvhOXk25sb+BPr3aENL1LTJMcTeKmIly91HjeKLcfYAcVci412lE4qFVavyNUvEYim+ek5vlgn7KIp3KWlUKsuCppfkb03SUjLat9rW8JpY8ZaVUUgbUlcuVc9ZwEDRs2JD169df61uqcwuyZ88epr//Pt9F3cWlI+dLeG+0YkDxmFh6Ziynm5zqNZQ9OaWcszxxo92vBCQr02IO3YZZ9d5YcrXVkbX9PdAwiHnLlvHcc8+Ve5xO9UCSJJ555hl6Fdlyl6+XWYVhkD0l8mv5mat4b7RxNw28nbjy8lCOWIgFZYVw58h2qkDSoqw4rq2106aOu5lnRxE6UCySFO9NRSgrgFmbYq4lzNEZF/si9uzZc8ctVnvHCpzffvuNn3/+mb27trBjxxZ25BWQkFT8sJTOFX9TbPzABBb/70kAhnYPIbxjT0K6vmVagTwXXztHQmq4sSHpHDHpqQwKaUBIDTez87kFhquCRvGgaFGmjcI79oTNa/HzdSdQI3QULAVMadustVFEjhbtOliKN6h///4sW7as3D51bn0uXrzIRx99xC9fz2Fyt5bUypez6g5eKV4nsTRhoIgb49ljVmNpLKsZW05jadtByRgaS7QxP3n/LighkEqL5ylL2FiKN+2K6V0b1Wb0orVcvHiRWrVqldaFTjXhhx9+YOnSpcTt3ckLtWQ70676nbtiLt6mKaaliw6rYiAs8ghtNVNUV14eanWKSREw1jKyFGGjFVTWVhVX+gHUGj1aioIj6LLoPXXRz9KwjMdRKG19K+WZfqcJnDtyiio6OpoRI0bQ2Ps8P858BmebtBKCRIvBK4r7xr/JhCfbE96xp1ncTWxWOheMucw7tFtNLVe8OVCc/u0R2oWAZn1xr9NIXbJBOz10cvNaVfxoadkkgAc7BPNgh2Duru9KY/9iTdrY32DmvSmPjFyJY0kFVjOs/Hzd1b7++fY1li9fXuF+dW5dxo8fz+lVy3ivWyvuD5enkJQ6NwpeTeqqwkP5nRP9H+l/LyP972XlBgobzx4rVdxoUfp2qtdQTTdXUsqvZSpLycoqKwXd2n51HPZ2dKsfwB+mZVp0qi/79+9n4sSJRF2OZU6vthiEjSo0nps1WBUYSlCx1tNxevZczrz+PM7LppQqbkoTPBVpp5xbid9RXitCydOYajYFpmzXZmVZQ6mQbK1SsiU9Dcn8+uuvVIe1JyuTO9KDs2fPHho1rM+zTz2IR2gXom0CePibOWap4C5RbSHmd7Pj3Os0Uj03sWnpqijSViKuKF3GTgfkNO+0M8dVwdGsZVN1+gjMVxcPBzYt/UXdF+jtTFxqhvra1VEQ7CGX7I5LLSzVsyN7auTpKqX/k5vXcnd9V3ackvvLz0jG4BFw1delc+uQlZXF9t9/55P72hHp52W+NIKjgaEjWpl5VMqbDrparE1padGKIkXslOcFslwUtDQsPTeWrxX69+7K1A/fISAggD59+pTYr1M92LFjBxEOgtaXbMi9dJHg9sGEjR5h5m3RChLL7CMoXhW8LLR9WPPKlOa1UVBEjlKbR1moE8DfNG1mTTgFO9lVOFW8xLHtg/EL9SM/9SIffvghw4cPv2OWMbnjBE5qaipDhgxh7PjnMYQ/zb9pyTw67W156QXnGojQuoQ3j6Rn1F38+rMscERekrosAshem5h0ec40pIYbLuQwvFkUG5LOqdtATh3XLqaZeW4DboHhuHjVU4OTXUCdrmrWsqnq3QFwTzhpVi8nPeEknQY+Av+YCy+Qxc3d9V01W+SpqNKETlxqIYHesmiTa+PA+aW/EOxhy7GkAlqFGDiWUeIwnWrExIkTMdqCp5ODum3Ndnll+KEjWpV22HWjCBVtRWPt2lXaqS/Fg6MEKAuL/VBSKJUmckrbrnhxtAuLKmLuoU6tSE5N5/FBD7N5xy4aN25cGW+Bzg3k7NmzjBkzhpeiGkOW/IFuTVyUu6SCqSKxtjJxaVjr33K/tYwrbbaWp2kJCX8oMb1V5jg1Sz+U29YkuGq0aM/i6d68M3UWJ0+e5Pvvvy/32NuBKp2iEkL0EkKcEkJkCSF+EUK4CiFshBA/CiFShBATqvL81njyyScJ8HRgzPjx/Bx7ggmLfyLz6CF5vLV8CW8eSe0Af7P1qIyZ8Ri8otT07q7urnTxDwWKvTexWel08Q9lUEgDfO0c8bVz5LRRsDstmQvGXLUvrbjRoogbF696eIR20awxVXycZXFAxduinaZSYmpKq3+jkJErmcXfaI91dRS4O+kVjSvKrWbnOTk5fPHFF/zy/XyevashITVd1PWlAHVtqYp6Q0rDckkGBa0XRpmO0qKIGa24uWLjolZEttxvDUWgVKRCcllt7AwGxg3oSVigL2lp1uMXdIq51Wz9wIEDDB8+nFAHRx5vEmYmbpSAYLDunYnbGldCUKh1ZDTBwNdDUXCE2Y+2kOBlOw+1CKEyZuW8ZZ27TR33MrOstMtRaIlq0oBnhw0ifuPa672sakOVeXCEEB7AT8DTwEbksPX3gNXAceBZ4BchxBxJkkqWRK0iWjR05/svN7Iw7RKzVv2lZk2BHFh84uIFlvy0jHpFidQzlQ0weEVx2ijw1VQl9rUDX3e5zo0cbCyLnHpOiXJfDv7qCuEge4GUIn6Sgz+ZOOGaF0PioVWEd+ypenYMXlFIoC7NYLmOlZYHOwSzfIt8g2bkSuw4lUHwpeIg4rKmqQD2Hk0E1uITJMf9nL+Qph5TUHRnzdVeK7eanf/22288++yzNHNzYOFDXWjg7W62eGYv3xpA8Ye+Ni4Gyi7MZy1O5mpiZywzrhQho13q4YqNCzWLMlVPjyJyLMdlKcwUD401LONwLKfifvl3B4kZedSrV/q9pnNr2XpBQQGdO3fm5K7dPOzlx7THe2FnWptJnfJpG8Hp2XPNAootM5oUkaNstyyeV5rQsMyYsjZdpWBeHbl4FXJln2dwBM6genK0oqtNHfcSgcNLj120OibLDCvlWpTA6CvZubw7YwFPjH/Z6vG3I1U5RdUP2CdJ0nIAIcTHwJ/AX4Ct6dwCuKGfpGPenMnWtGT+PLDBTNwoiFq++No5ImnK/J02CnX6SfHcxGalE+XuI8fjZBXXqlE8M5k4EZuVTEx6KiE13Ii2keNZFI+Pa14Mqec2ENpOrnuQem4DmSnRuIDqKdIusqldiFPBJyiYBzvA8i1xajp5WXVxtLg6CtXLo83oysiVkCSJvbGFULYTSEfmlrLzs2fP0t7Bnmn9OgFYFTeAWsyvopQmZLTCozyxo7RVpqq0wsYalmnqCtfjdVJQxrp6xWomfPMH/2zdccfEJVwHt4yt29jYsG/fPn6o2wQ3g0EVN1D8wb7rk9UsPXaRgY3lDDlrYsVyOupqvDbWYmXAPIjY0ZQltSu+WKTsik9jaKT8OaFWRS5lTKVlRZWHpRcnz1jAkJm/0My1Bi+99NI19VkdqcopqmbAfs3rI4AvsA1oBJwB1kqSlFWFYwBg1ariIntKZeHSGPfs0yUWzfS1c6Sumwd13TyYd2g38w7tVuNswuwkQmq4qT+njUIt+BdSw426bh5mAkiZspIc/HHxqocxM95shfBjv3+qvjZmxqtrWmWmRGvq5si412lkEjnBanBxaVhmW2k9O0pQszLlVVAEFzOL9y9ZsoRNmzYRHR19x0XhV4Bbxs4LCwuZ/b/JtPIwd18rGVN+jb1LLKxpOYWkvNZuL0u4lLUvJ/o/s5/rKfpnVjNHI8zKSxEvr92BK/l4uTrz61vP891337F69Wr27dtHRoYegGaFW8bWFy9eTF0XR1xsi597/m0jVHERtzWOpccuqt6M8oRLRWJfyqI0saOIl9ZBxfek9m9LLKeqtNNRV7tSuZa07FyOxidjZ2vD+IDaLF26lM2bN3PmzJlr7rM6IKrqA0sIMQ84J0nS+5ptRiBUkqTEChw/AlBKPbYcMaJk1ceKcvz4cU6fPg1A397dyBP2xF9JIz3lElhUd2xevwE2RXKNkFV//QtA775ydoVRksjIl/c52BpwNdhCUT55Qq4tkpGfR15BAW4Ojtibbjw7ITBKkvpbwUEARfnkZ17C1l4OAi009W1r74CNoTgzq6ggV91XmJ/L+l3yauPdOzSjMD+XnKziaan8giLyC0tcllVsbMDFwQaDnYECY4F6PEBWvsSJM/IHREiQ/OFQUASNGjXGYDBgY2ODrW3ZoupWYe7cuUiSVCVBRbeSnaemppJ07iwhzs4IwOBkR87lHK6Y/qferrKdGpzsMJgCj20cys4ALMrLveZ2yjYFZZ+wl130ksGeQovvWLaYG64oyEfKL/5SYtlnQU6e6XfJgEuDlQ+Eghwjjp4az5EEl7NyyDEWUFBYiNFYQF5BEY42NtRv1oy8vLxqtYbPnWLrhw8fJtDJHkNesb3U8CteciP53GXyJQkPR3mSwt7F3uz4/Mx8q9ustb1a7EwVlG2cTHZm70SBsCW3oHisjoZiuzdIpjpn+TkU5RTP7Bkzc8zGlZUnt8sv4zPbXgi1jb0QeHg5qWPKzS8gJS2D/LwCCiQJY1ER+Ug0bSqvSq4816sDFbXzqhQ4U4F8SZLeML22B/IAZ0mSKrZca3Ff0rWO8+DBg3Tq2hUXJ/kffXzrHDbbNmTmpg1s3buPrOQLalE/EVqXzNlfkokTF4y59G4qr7z81+H9hNlJaqyNQmj6LnK9Oql1b5TMqrpuHkS5+6jeom9iY9VtoFmY0zT1ZLmMg1tguLo+VUHKbhIPrSLtzHE14ymq31QA/pn9AGlnjnNo72H1WKUwYEWK/yk09jeo01VKoHF4x57cM1rO1nrrnjwSLmXz+wl7GgS58PeRHIxGI82bN6dPnz489NBDNGrUqNT+bzZCiKp86N8Sdp6Xl0fHmt70a9eAwU3lWBLL6SnFe6OdnqrotNLVel+sxfIofVhmTpWFsq5Vaf1rp6sqWtW4rKm5lKMxrD+TyNyjMdjZ2nDicjaOjo707t2be++9lz59+tzSgudOsPWNGzfyaI+erH+iLwHtmlptM+npBQQ72ZVYLkHB2kKV1gr0lUVpU1uWdW+0wcXa+BvArIKxTdyREuJac0AAACAASURBVEUELWNy1CUZLAS9Ne+Otbgjy76+Loqna3gQy+NTMBqNREVFqc/0WzkmraJ2XpVy7T9Am0vXCDh1tTfC9ZCYmEibNm3oPa74m4LBK4qY9FTWLPiOzN3bzcTNio+msD4tg/f3bmbeoeIpqtisdFNMTbo63VSvKFGNlVHo4h+qxui4kKNOL1ly2ihYn5ZBtE0Adi5BuAWGqz+Whf4MXlEENOtrlj5uSbOWTc0yoq5G3IBcF2fd4XR1YU6foGCzjK1mLZsyeNSTiKJ81uxOZEDDLB5slIvTpR3MnzaZu5o3JioqipkzZ3LxovUAuNuYm27nAKNGjSLbQTDkvg6lfoBrl2eoCBVZCfxaUAoDGi7Hmv0oWG6zlk2liCXL6SrlR8Gyzo+1BT5TjsaoPwC+9YPZHZPAXbUDiFv8CX998Dz1M88x/bUXCQwMZOTIkWzduvVOnK696bZ+/Phx+vTpw0vtm5qJG2221KSnS64vVtqHfGlZVArlpYNr+1H6UlK+T8+eS/aBbdjEHcHTmGombjyNqSWWZ1AyqrQ//m0jzLKqlCmrYCe7MqestEtEWF6jIpIGPt4UVzcn1p1NZO3ER4lfs5BRTX3Y/NFUIus3pH379syZM4fU1IotI3ErUpVBxsuBqUKIjshztR8CP1bh+Urg7e2NjY0Nrfvdy5ZvFgJy8C8A2SWniZXlFgCzNPFuTplEG91Yc/oEAPVr+eAb0oDdacmE2OSW8Mz4mtagUlDWplLSxbV1dMLc/dXUcShOIycvSQ1YNnhF4WHan55wUu1XEUUAbPmdvUcT1fWrrFGe8JEDlBNpiVyDR31fTOnrn34Whr+fFzXt09SxnNy8lsIiia9WHWD6u/t47eUXeGTIE8ybN6/aTGFdJzfdzgH8/f3p3igUTxdT4HgF0qfLwlLcXKsnp6w+tHVwAKsBxQradopHRxU5Fm0tg5CtCT6tuLFs2yrfyDf9OtH/3vbY2NhQP9iPkd2iGNktiiM7jvDHkR08cf9i8KzFDz/8QJs2bcq67NuJm27r/v7+2Nracl89cyGSfWAbSduPWM0wshQt2uwpKCl4lPaKuLFcX8qy3+uJ39Eu13DZzgPqdjQLPHaObKemu2jHoQYiWwQhW1v7yjIdXtvmlTYR1HF3JbJPPwD6P/kknn+fZoxfMD/sOcMXOycyftQYRj4/junTpyNE9SofUmUCR5KkFCHEE8AC5NUhlwAfVdX5rGFvb09ISAhB6cXz9heMufx54KD62iWqLZm7t9PTVMVU9cI0g96T3gLkzKjYtHQz0fMzcOpiMvVr+dDFP1TNjlLWp3KxQ82A6lgoZ0AZ7KLUaS5lyuq0MRfcWuNrJ6ecGxz8kZCnr9JO/qRmUilByXLaeHGhPyWN3L1OIwK9D5tVNr5aTw7IIudYUiw9LvwCFBeIM3hFkdOqITHIQtDXzpGQ8Bx1ja27j39HoHshr055h2de/pZJkybx6aefXvX5qxu3gp0DhIeHs+Dr86QcjeHCoUSEEJw/dslsSQZLrImVq00T16KIEG2RP+3aT5bnqMg6Vta8N9rzWPaTE/3fdVVkVsbbubZcEBALARRxdwQRd0fwmiTxw++b6N+/Pzt27CA4+Pprptzq3Aq2XrNmTWrUqMGeDacRyFMVWi+LUvHXcnqqolibnrImbizFRmkkbZcL+TkD3hQvsKnNnLJck0pJHVdwprimj7WJV8UjYyluALNsLGvvRyt/b+K2xqlLWCgYhA1P1AvkCWBDTArfzZxDrVq1ePPNN0u91luRKq1kLEnSCmBFVZ6jLE6dOsWJEydI07jYYrPS2bp3n/paKfKn3W+J7PXJIDxQNq/6tXwYFNKACyZhI9fCyWV3VobqmYl186Cru1xZODMlGoD9tg2JSU9Vp7EuGHN5efUfhAf6U7+WD8+EhJSY1jJmxkNmPHYuQRi8ooo9UKUQ7GFbagzOkv35PNyiYgF02lXLPUK7EG0UzNy0gbOJSdQO8Gdqn35g54SLVz1it8iCKyNX4oeP32VYs1qMmf4Zw4YN459//iE9PZ3u3bvTpk0b7OyuPRPgVuVm2znAH3/8gb2bI4sOnWL5/tPMatFM3efnWHyblxWbUlbcTEWxrD6siA1rC21e7xSYpfhRhJUllqnsigi6nnRzIQSPP9iZ1dFxzJ8/n4iICHbu3ElERAT/z96Zx1VVp3/8fRBkuxCELJc1ATE3NJXKjaBFU1OqsdJfNaWWZdlqZjmVbVM2aY2lU2Nl66Q11qSlhlkyriVpilsCYmwiKEEsAoLc3x/nfr+cezj3clnUcvi8XvfFvWf5nu+5HM758Dyf5/lcddVVhISEtHns3zPO9rWenp7O8ePHISGO0R+mck9IBHfZibAYwVG0RU8OHI3paJ0+4iNIDtiSFS1c8vdyvlWro01dCbLjEdGXRpo6dwhCcuW+dCKmXe/wnFZ8pGo0jUrOBfFx9L0kRQcQVuPBI08+zZgxY1i/fj0nT57kyiuvZPDgwbi6/n4NEU6byLgj0R5B2gcffMDd90zH/zyVvf7pX0tY9PZSG7dwgPuee54nBo3gk7yD0jTzs5tV7U7Wzzub9bsRIuIqPKXIWKSwBO6MTyCqYrskOKXd/4+86goZAYEmY85Ib19i3GzPUUt2Kt2jSS9X++rMG3mtuu+qWTJlJbQ7wrdKiI8Lj5+w2xvHKJWlLTd/e7e/zfm/lZFOZmERcWFm7oxPINjNg4bMpbJ8XRzv24Mn2ZJzivO9FAJNCm5doKJOobzBm6SkJK666iri4+Opr6+nrq6Ouro64uPjiYmJMZxne3E6hZcdifZc54WFhdx8883s+n4bDY2NLOrfj1/2VjTrfxPSuxu9Jg6Tn/XRDyM4Q3L0URWjMY2iOY6OZxS9sdcbx+jY9uahR2uIjn7uw559m8PFv5IQFkj/4AD2HC5mR1k5F/TqxciRI0lOTsbb21te5x4eHlxxxRWnLX17rl/rFouFN954g4fuv49unu70cPHgnzclyfUrPtpj0/DOUVTDCEbRGBEhshfJEXCGZOk1PV4DhtJotWwQ0Kas9MJkrTGnliTZ89wCmvXUEZEc/WcBo2jPt7+VMq/wMIGKGzEuXnRRFA40VGPxN5GcnMzIkSPp1asXJ0+e5OTJk9TV1TF48ODTFtl09jr//VKvDsKf//xnRowYwfDhwwFVW6MnN1qIfjcAn1mXKXVFxLibrdqa5hDERqSwRKQn2M0D14AESn1Vi/rYxiPE+JmpwgOfOnUOyX5mGZU5VF8rSVSCXxC4R+NTl8N3NSaoKUGPisJM2SgQllB++ACh8WM4krGGkoJ8rnlADSfmbV7J2tQfyC87RYR/F8K6eTWzaThaXE7h8ROymqpQ0xFZnMuomJ6AGsHKq64gjwoS4qbgy1JJsMK6eZHUaCEhyg1fK4ESx62uO8nm3atZti+Vf9QqNJ5qwNvDjYCIaHbsK+LWW2/lqaee4vzzz7f7++mEMcLCwvj222958skn+XLxYkx5tRytbbCJ3oBtBEdPXLTdjPXER9/pWLvenqWCkYeUM3DUM6clcmOPaDmCfl6tITwr7r8J8o7KthAl3gE0NFr4ubKS7Z+t4Oml73DKYsFVUejq4sLxupM0YuGNL1ZyxRVXOH2cTqhQFIV77rmHpKQkRvQfwJjQQLkuf0u+TXVRa1NULXUt1sKeLqel9fplMZpKKwHhVQU0IzdabY6AvvLK3hz034fokqwnNNrqK6FJmtQQyoDNPmQXND0XRrt14+eyGgo//y8LPk+lkgZCvLpyovYU53u5sa+mihmPPspjjz2Gr6+v4RxPN855gvPrr79i2G/By9tGaDwqpqdNNCW2samtQ1luGv5RSfg0GwSw2jf0CGwiP+K9qKQSFg8WzLIEvdja2TgGi4wEiWODmr4Sgudo67Uh1mmh73AsokVaR3KA0aNUIWTk8BQpDtY6mv+4fBHxg9SqhJKCfBIn3Mjb0zVaH2pI8AsiJ7C5ot4/Kkk1ArVGjzI3reNosfrfgWgeCODtrjDnhgsYPHGG1A7tX7mA3ikzyW/sxcsvvMCFF17I448/zowZM87JdNbpxLJly3j77bd5xi2ILopCiIcr/c9zb9bcD5rML6FlMqBvBKiFkfi3I6AlR448qdoCZ2wpnEHpvhy6AuiiMa4uCn3P86Xvec3/Xi0WCxuOHefP11zDRVdcwfz587nwwrYLt/8XcfToUe644w6uPO98Ukb1AZoa+wk4avDXUvdiexEb4U4uqqS02+jLzu0t1+PErq14YUtwBFoqIRf7a2FkHWHvfPO35BuSHO17sa27axcC3LqSje0/vhd6enKh9dmVX1PPhAuaCOex+pO8+48l9Hz3XZ5++mnuuOOOM154ck4TnL179zLumqsZPf469u9Xb76/HClSXcMDgwHVf6p4zX8BZAoIIFYjdfGLmwR20kVwkDvjE5odO8kcRXnmx1QUZhIaP0ZdGNC0nUhVVeFJQ+ZS1WBTY8C5obyJGIiUlta0E9QqquVP3a46jNNU7QRqikpoY+R5WAlIaPyYpjlZETdipIzCBIVHWNevlHNJ9vPh+R2bpKhanINAaPwY2W05bsRIsJKcylqL3aouN1M48VOWo9QVEVF1gNeeuI57bhrEnJc+Z/Xq1Xz22Wecd955hvt2ogmNjY2MNwWymxO80rcPMSbvVpeEa9GeSikBZ8iDsykrLXFqiew4IlnOnpcjt3IBff8dR9omLRRF4fKgQIZ3C+Cznw+QmJjIO++8w7hx45za/38d27dvZ/zll3Hjhd25Jii85R1agKPeOC1FafSpLn0fHe16R2Od2LUVNESlm4ELuZ7I6D97DRjKiV1b7Za1689LjQAtkSRHC21az4jsCRF3s2PoluUUnODR7t3Jqqnmgw8+YO3atXz88cd4eZ05D6BzluBYLBYmT57MtElDuG7IKVZ+1rROCQzGcqwYULU3PnU5WNzNRHr7SoKjxaF6BVxCCXbzUKM8NSq5EVod8VNbZQVwh9UVXJSA15em42MKV4mMNRpjooYGq2WD9vJI9jPLiI3WsVw/PxF1EWadoFZW+XXvJQlLSUG+TW8b4WYuKrqiNONpt9F/B+vSd5IZapZVY8F+Tak2N1M4ts5C62T0Rnhk+XgohBWXU1GYiSkgVpqOpteYSAhIxKcuhwt7wDNjG/jH+lIu7h/Nt5t3Ex7e/hvZuYz//Oc/7KuvZtXUMfi6d6VkTxG7f6trtp3+Iawv0zZCa7ymWouWiI0z9g7ORo3sjWPPEb0l6EmQUVn+0f3HDaNnAF1dXJgUGU5SYFfumHQjT7/8CtOnT2/1PP6X0NjYyC233MLsS/oxJqbpnqCP3rQEo4Z++pJxoxJxEb1xdnxnYDSeSFsZRWfsERhHhEe/n8e4aWz5zYNh00GQnJaaG5qH9G363qyValrYazQodD5PeNTyyr7NDOoWxMbcwwQGBjbb/nTgnCU433//PWVlZfjn5+A74Um5PHP3LhsNzrxBgynLXCY7B4voRKWbrd4mr7qCtIpcWWI+dkB/RsX0JKeijDnvvAtAmFl9gBQWqUJcS+RgqCqg0j0aEzW4gSQyokekBbMkExZ3Mw2l6biZwmkoTScKNX3kERBLbUBisxRVRWGmJDKCzEQOT8E/KonQ+DGSrPhZRcAVhZn4hsVRX1WAq7uZtKJcso6VMG9QApRmExo/phmxARhx6meogI13P2D16douK7pErx6td1dFYaaM3mhRWWuxVmd9SvzhA0QOT8EvbhIzly9jZMJA5g0ajBsQENObJ6ItLNtwhIQBF/L5l98wZMgQe7/q/3ksXLiQCd6B+Lo7rpDTRhoEedAShJYIRWvKuzsK+jl15PFaQ9gckTHxnbal95D52EmW/ekKps55lMOHDzN37ly8vb1b3vF/EF9//TW+vr6Mjg6zWe7IkNKZh7cR9MTD2Sote3PQ/rTnXA5I52+j+ejJjT4dZU+Xo9/vVzd/thcUMaRPk++Vfru2nq+9cvSdv1Tw6AUX8P6xIwwIi2D19u8ZMGBAm47RGpyzBMfDw4Pa2lpufHUn3R56WJbpacmNEhVNFZ64xk1hgyY9Fe3rD5p7jEjFZB0rUVNcQHRiklwWZjZzcH0qmSXFjBw9mnvHXM1NkT2pAghIVFNLbp6Y3M3UukdTS5M+R0sMqCrANSCBSjyl3sffFK5qgKyRH63QWfSgAaSNA6hEydXdLCMqIrKTuWkdQeEqsfA3hZNkjpKCaoAjGWtkqkmPqtJsKM2mwRqR+q68kpyKPJLMUcS4WVQndGufHlNALPGHD/B91lbDcvXC4ycIKciHzSvJ27ySnya/CqgRrv0r1d45JQX5jOkewflTh3H92GSCInpy1VVX4evrS69evZgwYcIfrunU6YKnpyfVjadslvU/z90wigNNJdtG4mFnohntNc48E2ipMWFHdWnWRnL0RMde9EYLsc+nN1zJE59/TPhbbzFu3DgiIyPx9fXl1ltvxWx2Lv11rsPT05PKykpyt+TTRVGIGBaBeUhfLtmST76B/kZbAm2UNrIXaXGGiLQWjubgSNxsD/oydEDtt2OQ3hLbCAJzfn0Ztw4w45KzyTAiZKTjKdq2l4hhEU65m9vbRlEUbg8KI6SrO1cmXEz0RQNISkrCZDIxYMAAxo8f3+LYrcU5XSaekpLCqr07IDSQ0Bw1jVSUfKkNyXntzSWs3rWbdWvXAuAdFMzk8WO5Mz5BelH96V9LpHBYpKN6BAYR7etPTkUZi9d8TebuXXLfeYMGU4WnLDkfFdNTdjsWOppgt6b0joDwpRIkQxATgForUQp28+CiC1UtTfbu1dRXFUhSAND/5leptIqata7oWj8rob/RRmvKctMwBcRKHU1o/Bh6DbsLaCpHz9y0jrgRI/ENi8M1boqNJkik0QQaMpfy1cLn+T6rshnJ6W12ZVCfUILCIygpUP/YhQZoyXL1P4/KWgu3XhlJUHgEjY0Wynvcx46dP3F4y0d8tTWP6Q8/yTPPPGP0a2+Gc710duvWrYwZdhmrLrsUN41ZntDhGD1o9X5UbX3g6wnE6bJ3cIZQOduksDX6IAG9d5e2iaEezkZyjHQ7JdU1fL5pP7/V11NUW0uGmzvbt28nODjYqTHP5WvdYrFw2WWXMeWqSxiSf0hqSU7s2srr9y4DbCuFtA/aCbc02Tq0pfNwR3QtdjRua2HPN8uZKIz2exPER0uAtATHS5cu2z5/rY0flrMO5/qozimLhZ3VFRyqPUFtYyMbfvuVWX+bx4MPPujUeJ1l4sDVV1/Nqv9+B5pSwpGjR5P65mIAeo5XGyTFhZn5pb8aLrsgVL3paL2oBLmJ9vVvprsR+4j9egQGSXNNbXTkkzy1lPymSLXUWtg61FujNgBuqOJgQSS08AtIADfbJn/fWbUrvVPUCIt/VJIkNwKuAQk0lKbLFFb54QNN9g5WEuVmCpdkyt+qG9JCfA4KP0DU0GnUVxVQlbmUmLhJsvpLT9Z2WwXOEf5dmvXhCevmRVB4hDQJLTx+gqPFnwJwaQ81dqWmslS4uCgM7+tO8qUTKBvbjYdrfLls/IPMnTv3D+N+ezoxcOBA3IPOx/PlVygYd3szQmOkBREP4ZZIjrNC4NNFbIzGb0sVVGu2NSIu2qiXgD3RsYAjDY49UXKQtyd3Xz0IUH9HrwWH8uWXX3LHHXc4Pf9zFYqicPXVV7Pih+1c/cG/4POX5Lr7FqsSA231khbtJSbtjeLoK5mMxjVa31IPH6PqLaOojH47o745RpEb0ZRQECLhi7Xioz3NtDj2yI6e3Ih5XKCZ290zruG2hX93muA4i3Oa4Lz88svg5QGNTf8pCHID8O+pdzFr7Sq27NgpozZCyKslMNG+/lL/0iMwiMVrvqawSH1AvDB1MmMH9JfRnKxjJWQWFjF2QH+p5xFRHoCkqVHENh6R5d1upnDE7LQl31rTTfFeK1gGmLl8GReEmvlg/I24BiRCXY4kToAsSc/rciHJU5ZLZ3KhxQGVGIlUlpspXNULWS0mBGoDEvELSMBkFUOLKI8pQBVNCx2Odp1f917EA/HAaNSU0459R9hf1NCUorIirJsX32dV2jQZBPhwfR63Xqm+97M6rvuGxREZHkSAvy+7d+/moosu4n8d77//PqdOncLPz4+Eo/vYdvllzbZJ3VbYrGRckhw74zrTD8YecXCWGLUFjoiYQFuPa++cnR1PH73RkhxtCsvZyqsBxw+xfr2lk+Cgioznz5/PLZOncurUKU5cP9uG5IB9ImJPG+LseqOxW0OaHG2rL+F2NoVlb38jouLMWNr1Wif0RtQydWEVUbRtrxQQGwmOwVZgLGD0HYu5dys4RlXFbxw+fJju3bs7PN/W4Jz+93flypVc2WcA/SobbZb3HH89o+6+1yZKAzBr7SpAjbLMGzRYLk89dJD+90/nhnf+aROVEYj29Wfm8mWSxGihFQaLKI8eDaXplGcukw36jJC3eaWhNkaPjKUTZVpKS3YEtCXiFYWZVBRmsn/lAqfGBrVvTd7mlZQfPmCzT6V7NK5WEhSZPJfI5LmyLD1yeIpNX579RQ3s2HfEptngo49P5a7nXuCu515g0t23s/Dtv7Hw7b8ByGiWtlIsadgA1q9f79Scz3XcdtttzJo1iyFDhvDqq69y6bdpQFNqavdvdRytbVB/asrHHT1g22NjAM2du08n7EVcOmKb0wlBdKD59yWWD40I4dtvv6WxsdFwjP8luLi4kJqays4ftvGnMSOpyWsuOL/4kdGs+GiPU1oRPUQ/mLMFQS6c6bxsb672iJQjrY09GPXmcQQjogPY9NmxR7AKthbQt8GFb7/9tlXHbAnndASnX79+rFu3jn/84x+88MILcvmCiWo4U3Qgnjx+LD0Cg8gsLCKnoozLPasoy02T22cWFmE5VkxhURGvb2xaPmzQQLKOlbB6124Ki4pkFdXYAf3JOlYiydDUyEhuuvsBwDaVU1WaTYVGG6PF2tQfGD1KFQ+LdfrU0c67p9FQmo6rlcjkbl2CX/deHMlYg2+YSj5io5KI8Wuqzsp2CSXGzYKJpoiQb1jTOXmUbqQBNWoj8OuGx/h+0zpJUoQlw6TuvdQxQDY8lOeGJ1FDp+Ebpmp74qcsp3dKOsufur1Zl2RBdLTnJ94LcqPt2+NmCufKq67grQ/WMGvWLP7X4eHhwezZs5k0aRLjxo1j//79/LmxEVc76Tt96kSkXxw94J2JyLTGiqEtKa3WpqaMCExbuxYb7dvaMQRp0X//jr6vUB8vAgIC2LVrFwMHDnTqOOcyEhIS2LRpE/PmzSNxzPV89tJsLqyz7fI+4ZZ+zSwbwNaaoK1EpiXzytMBe3PVnod2LiISYy9dZc/KQbx3VIqu74xsb24/HC5vlUYHYKDJl3Xr1nVotPKcJjig5m3vvffeJoJz6pQkNoLUiP419yUmkezngwVwjZsCvCyXi+qpX44UMTKh6UazLn0nB1d9jhIVDWazTUdjUElUZHwCURUb1QXWFJNI5Qg0b7xnu0xES7RprLwNQmTblL4RpEVsp+2vU+keTV55CXlAgpXA1AKmADW1tPtfDwHQO2Vms6aCAiL1VJj6A8vefI+wbp9yzQNP4B+FJIUmwEeTSnMNUF3UgwMSueaBJ/hx+SI+XJ9Hflm+TEsdXfEpiZpzOGJNSZUfPkDvlJlSpyRSZ4nDBnPbtDmcOnXqjHfH/L0iMjKSzZs3M378eH5MuZ5Lv/xCfZDqXMWNdCGtedDr0dpIjbMExZ51RHtE0VqioiV1zqSMWvqOWlMmriU5jghmyZ4ikpOTSUtL6yQ4ViiKwuOPP05sbCzXPvggWT9u5tTX78r15iF9mYCtL5UWLZEb/XojInM6yI296Iu+w7B2fvbsFrSl6Ub6H70buna91gH9xK6tbJ+/tu3npCOZNut0c7KUWvjvf//b5mMZ4ZwnOHq8MnYEqYXGNyJtE73XNzYZ5ib4BXHvmKtlCkpobLKOlXBwfSpgLT/v31TX3yMwqJm1gYjYiIe4KSBWVkDtX7mAyOEpNiRFaFuUuiJdEz1bCFGyf1QSFnczlXhS7BIqtT71VjdyLWVJLy+R6bMokGRrbeoPZOy4XTYQ1EKkz0oK8qVnVeKEG2Wqa+OKT4kf1I/+N7+KxarjqSjMxD+qCKzWFK5xU4gbkQnr325WXSXK2P2692LZm++RX3aKRx+fimtAAkpdkXpuVn+uwlILoaGhneRGBx8fH1588UVuvvlm7s/MZPtVlwOqo/jR2gb6n+d+2o59plJSRsd1hqAZzU/s62wnYnsw0t7Yg5ZgiuM6ahpYUFDA5Zdf3q75nYu44YYbWLRoEV98tZYbrpsmTSgBw/JxLfSGk45gFCXREwpnqqw6ohLLaL7OaIe07x2lwGzG37bXbnpMECt7aSloIjXOftcVloYON+c8pzU4Rpj32gpSX1lA6puL6REYJI0x16XvZPWu3cxcvoyZy5fx8uimmnwTNbL6CdQoTpI5ih6BQfS8chR4edNz/PWMTBgoxclJ5ih86nK4KbInMW4WXAMSZDNBQWBcAxKIHJ5CSUE+kcNTALWKyTUggWyXUN7Jy7OxbNBDCIWFtYLsDFxewqy1q3i7uJ7agERqAxKpdI9uFpXJq64gr7oCN1O4dAMHmpEbrYVDSUG+9JlKnHAjvmFx+IbFUX74gCQ339WYeCcvj2yXUKKGTqMsN43YxiN8kneQ9PISQuPHcFU/lVyFdfOyOZ4gecKgE6A8c5lNyhBgy39TSUxMpBPNcckllxAdHc0jjzxC0b7mN3jx8NVqQKBJByKIQFsa13UkarJ/NozUGC07k+RKfG/alxZ6cqPXPWlfLSGgTzCbN29mxIgRHTP5cwx/+ctfmP3MC+T98K2s9hEC2YhhEXY77OqRX1Pv8GENTQ9oe9oXu0QB58vBHW13SXe/ZiTLTDyAFgAAIABJREFU0ZyMxhbj66vNWqs/skdu9GanE27pJ4+r97cSxxOff2ms6fB7+v8cwXnxxRfh51/AYuH+u6fJlNIFoWaZhrog1GzT10WkRUYmDCRz9y4Ork/lrYx0on39uSDUzH2PP869Y66W20f7+hPs5kGlezSf5B2UREWMU1WaTX1VAQ2l6fhHJZF079+b+UYBzHnnXV7fmEa2Syi5VkdyLUwBsfiGxdE7ZWazdfclJpFkjiK9vESWqIuGhfqOyNkuoUQOTyF+UD9Gj7qE3ikzbcYUpEZLbuIH9SNq6DRc46bgH5VE5PAUoqesZPbeQpkCBLXpoIgsTY2MJNnPB9eABK554Al8PBQKj58gY8cernngCYLCI/jnk3P4cfki/r7sMxklEtYOAvVVBWza1HnTtwdFUfj0009Zs2YNn5WVsfu3OrWCysOV1OLqZtsbEZmAPtHtjmq0Bh0h8D3dwmYjMqOHlsyE9O4mX+BY1K09hkBQPzOZpb8RGBhISEhIG2d9bmPkyJE89NBD3PrCWxyPbn4/sOl/4wSJ0UO/vYhetCVFJUiQeOAbkZn2RnccaWL0x9CSGwFBSOzNRRCblr5Ho++npQhWuXtDh9/TO4zgKIqySVGUSzWfRymKkqUoSrWiKJ8qiuJjXe6iKMrHiqKUKorS/Ml8mjF58mQGxF0Iv6oP+/vvnsZ91q7Eop9NXJjZpgKpvqoAEzXcGZ+Ad1Awpj7x9AgMItLbl7ED+vPuqtVqs7/CIrncRA0mamQ/nAS/IOqrCqRlwpGMNRzJWCO1MiKCIz4Hu3kwbNBA4sLMzFq7illrV7Gpy4U2ZeJupnD8o5LkezWVVUOkty8JfkHEuFmI9PaVYmex/K2MdJmOy6ko462MdH4KugbvWz+h/82v4mYKtznO0eJyCo+fIG7ESK554AkSJ9xI/5vV7sNCNK0XQCeZo4iq2I5SV0RZbprs2txQmi5TVxH+XRg96hISJ9yIa9wU4qcsl8c7krFGio99w+KkBsdEDQ0Np9j8/e6zFsH5I1zr/v7+PPvss/ySEE1Rbb1NV2N9NZURnCUcHUEoxLG0P/Wv1nRabg3RcSQebq2mRk9uWhOtsUeevi8o6bzOW8ADDzxAydEifti2VVb+eA0YinlIX1WPc4ttRNqIBER4ujllIOks9FoZZzoot3b81qTZjNJpRuv05EcPI2IzoXegzUsfqTGCNsWXvyWfk42N7K+pZvjw4S2eS2vQboJjvejfBIZrlvkDy4BZQDigAM9ZV18FHAAigGRFURzJSzociqIwZ84cLj0vGKydNHMqyrgvMYm4MLNMWWmx/KnbUeqKCHbz4IWpk3lh6mSSzFEyIhKmaaWedayEtzLSZWopwS+IZD8fGjKXUlWabWOpAE3iYVNALH5xk6gNSESpK8KnLocPxt/IqJiecl45FWU2jfwsGvdxobUBiG08IglasJsHCX5BpJer8xKO4AJGZe8Wd7PN2ACD+oRKchYaP4Zsl1CyXUJl6khEmEbF9GRUTE+C3TykjsgvbhLXpf7I+9XB7F+5gA8fvpJlb77H6FGXAKr2Rtt1WSwLCo+QxxTRr4bSdJ56/jX69b+YmJiYZnM/nfijXesTJkygpKSEm//7If3Pc5f6GyE41pMcLaHQo6OjI/aO5YhYtbeZYFsE0vbSUFq0x7ldHMMIeb9VseTnQu688852jd9a/NGuc1dXV2bPns2S1//Or27N72daaCuqnBETtwd6kiOO+cPhclZ8tEeWs+tfjuBMSspRCbm+Z44R9DodZ+fWEvQRI+2Y/ziax9gJf+pwE86OiOAMRxUrV2mWjQd2WiyWLywWSxkwD5hoXacAXaz7KMAZ94q4/vrr+fXXX+G3pinr0zbv5OXJ97e+sp6y3DR+3fBYs7GMCIIe2qZ5Ar5hcUQmz2VeZQ/erw4m1/diDtUrFNfXUukeTbZLKCZqSPALokdgkCQleh2NICKuAQnUBiTSUJpO7tYlMlJiD0nmKBL81GiTGDvGzWJTpWWE8sMHZDQFmkdukv18pC2FFiL9l7FjD9/sqSCsmxd+3XvR/+ZXWT92IQ2l6Zx365M8W9mTxAk3yv1KCvLJ3LSO3f96iIylE3n5L7P4bNUWPv7447PhRfWHuta7dOnC7Nmz1bSsDvZ8qvRoiQC0JbXU1n2MSJG9sZw5RkekxYzIjUhJOUOO7K0rP1nPnSvSePLJJ7nkkkvaPc9W4g91nYPaC2rXrl3k79zcrH9LzPRpzN7yepujMe2FUZWTM9sbvfSRm5aaF+qJiZ7U6D87NC41iN5EeLo5pTcySoeJMefuP8SW8nLefvttu8duKzrMi0pRlF+AiRaL5XtFURYAjRaLZZZ1nTtqRbIPcAL1P4ErgWctFstCJ8Zuk0ePFmFhYS1vZAc//XwAn7ocdv/rIenWDU3ppNqARD7JOyg7Hgv9jk9djqz6KctNo8Lq6u3XvRfnJ8/jz6s+5ZcjRaqOx5omE0QrrSiXJLPa9fi7mqZ/iCK9faVH1pnC3CvqiB/UT567NorkUbqR/SsX0P/mV228tESpuqiAEuu0NhTlhw8QPWUlMXMf49Az8wgeo3bgrV7zNRlLJ1JSkG/jV7V+TwX/2vIrm7fvoVevXs0nagcd7c9zuq71jrjO9airqyMmJoZVq1axaphKHEUEZ1Swt2FFjxbO9o1xpj9OWyHGbu04ovS7Lfs7m56yR3DsfZf6OeiPE9TPzMEdudy/aw833HcfL7zwQquIfEde67/3e7oeCxYsID09nQ8Wzcclv6lfS2NEX1zy93Ji11YenfIBEZ5u7eqFA/ajPUal3Eb7tPbYglxM6N08wuFoLGdIlaNIltZ3yghG87GntTGa59aGcjbVl7E7J6tVHYzPtheVL5ArPlgsljpFURoAX4vFUgXc1NIAiqJMA6adpvm1CunlJST7qTcsU0CsrFbCKiKO7lLCTZE9ZXSluL6W2MYjZLuEEluXI4lQ5qZ1DJ44A9e4KaSX2zan0kaQ8qorZKPAGD8zqXt/BJCpnzMNLbmxuKv6pPLMZeRtXklJQT5xI0baVDmlLVb9RILCI4gcnkLe5pX0TpmJb1gcV82eJqNOvmHL+HXDYxQ/M5fyzKVsm+BH/5tfZffSifh172VjxPnvdfv5eMtmtv64j549ezab41lEu671032du7u7M3PmTJ577jn+rEtRpRZXMwrHrteONCotbecMoTB6wGuhHdPZcnBHY3V0Lxs9jL5LMWZLYwf1M3P8RC0PHtjPpIce4tlnnz0bUUp7+N3f0++66y5eeuklvs8p5tLovpLk1H65BI9x0/CI6At8ILdvDcnRey61lRyJnjPtJVh6aJvqtURqtH1vWpqDo3lGeLo1i9as+GiPHLcln6rN9WX8cOo39vxyiKioKIfzaCtaJDiKoswBnjVY9b7FYplqZ7dyQDpDKorS1XqsMjvbN4PFYlkCLLHu326qX1hY2GzZ22+/zb/+9S/S6stAUXjtzSUy5SREuEnmKNKKcon09qV3ykyOZKwhMjmB4vpa3spI591Vqwkzm7l3zNVE+/rLCqI74xNIK8oFcxTBAdH4BSQweKJaBp5dXysFyllhanPAvOoKIr195c8mB/IaMguL+OVIEXfGJ2Cihuzdq+U5iCiJ8J0KdvOQ0STRkdkUECub7cW4WWSDQK0WSJtq0rqTA7KTcn1VAa46bc6VT22hCk8Z4QKVkGRuWkfk8BTVusEqoBbHEAadIhKWsXSiLFHP2HElIcF+smIrKDyCVT8c5x/Lf2TbzgP06NHDqd93W3A2rvWOvs6NcPfdd/PKK6/w2MoVrE26udl6R6aQYOzz5Iz1gTPQ+jOJn1pi4izBai35MUJHlcUbRW/037HRd37gx1zu25XBbbNmMXfu3NNGbs6Ve7oeJpOJWbNmsfClF4hb+gHnWyM3XgOGgpXsaB+0bXHFdgbOVDLZgz1CITyfnE116T2z9KJeI+TX1DOhd6DT/XqMuicDrHDQe0ic26b6MtJPVbA7N6fDe99o0SLBsVgsLwAvtLSdDj+j5mwFegFZFouluTnSWcTtt9/OggULoMtJ8Pdl9a7dvDx6PHnVFcx5512q9mVw3+OPMypGjRio9gVrVG2LSyh3xifYjKctj86rrmgSInsDbp7yAR/s5kFxfS1Zx0oYFdOTnIoyaQERZyU8WcdKyAks46bInnJOwW4ebLBGk0TaB1ThrUnjNi568ST7ReIaN4Xc+lqiSrcTawrHgln2phEEQ0RfqkqzZVRmx74jDOoTSlB4BL5hcfhHJalpNmuHYaBZebogMgCDJ8bJ8m5tmXfu1qZmXL+CTf8dUKNFglAFHT7AsS7BvLR4JT/8uIfYWFu9T0fjXL3WPT09mTt3Lo899hjfnchiuktTKDi1uJpRwd4yGqEnHEYP69Pt2dRSV2F7RMSRlYK2e7FYJj539Pk40xXZiFC+nJnFjTNm8PTTT3fofPQ4V69zgBkzZvDaa6+x88d0Bg5OkCRHuGdPuKWffOBroU/BaAmPfp29dI0jkmTUcdieIaVY1wwiKmKQBhMESMxBLxQ26oDc0vmI+TjjMSWO6cxYR6ljE+VkFuS2SzriDE5XiuoL4GVFUUYAe1H/mD4+TcdqM1xdXfnrX//Kn/58M/j5SKfxl0ePZ/L4sazTWC+kFeUS7etPcvJc6kvTyeui6mIE+Yn09pXu4QLBbh7grf70qcsh16pPMbmbwc1TlpS/vjFNHjvVy5vXXlFLsLOOlfAJcEewG7Ge8F25lUTF9ORyT2ztC+qK8EHtaSOsJw6Zowh2o1laq9I9mp+CTFCjVnn5xVndw0uzJbkBZM8bv8JM/KOSqCjMtNozqP1p4g8fIH7KcorrazG5mzEFxNoYcG5c8Skhm9bxxeZ8pk08QElBPoMnzmBeZQ/eXbWagzfHkblpnc3c/Lr3khYVvmFxPHTLczz1zLzTTm7agT/EtX777bczf/58UlNTedPyC097xtqmqoK9bbYP6mdulev16YSzUZzWjKElNh1JcgRRNIrQOIqU7SgrJ8/kQ+ozzxiu/x3gD3Gde3p68vTTT/PXp59ixZdN/4x5DRjKiV1biZk+DfOQrTB/bVOjOTuO2HrYIzBiX0EwjCJCLflJ6Uu+jewYnIGWAOkjMPY0QNrz/+FweTNihB2SI5c5MTfxnViwsI1feeP9paed3MBpIjgWi6VUUZTbUBOegcC/gealHL8DXHfddVzcJ57tx4ohyJ91a9fy8ujx3BmfwJ3xCeRVV8h01esb00gNMwMKmYVpjB3QX/a40ZpoCmsEC2ZMbtBQupF6IGroNNlROLYxh6mRkVThwbq1a8HL+oA5US0jMCCqtLTFDGr6LMGvpywFF5qWKjyJrcuRgmVBrAAsAQlk1ytQD1DbrGoM1JTR4InA8kWASnB27DtCUPgBotTmoOSXnSKsW5NBZsbSicRPWU5DaTq1AYm4BiTSkLmUH5cvInHCjZQfPsClPcptzESbIl9ZquBYY+RZfviAFClv31lJ6akApk+f7uRv88zjj3KtCzL/2GOPMXKkKvIW9g1grarSRXEE7JEcI9LRHqLg6Bhazyh7aIsOqCPIkz20VD4uCM8pi4WlShdeeuklPDzOvMbOGfxRrnNQK6rmz5/Pj6n/YdQVyVJkDKq3ktrpuLm/kox+WBvZic8tpa/061vcXpMC0hIaGQnR+TdpUz7aMnetXYKzc3V0DpKoOejIbITWNE88xAnCB/bllltuaf0k24AOIzgWi+UC3ecvgS+Nt/79QFEU/va3vzF2ZBLV4SF4BwVzwzv/5N9T7wJUMqElHKDaOhQWFREXZiba11+NzmxdQtRQVT8nPKdEJEJENfwCEqQQub6qAKoKMAWozQMJCqa6pBjLsWJ6BAbJaNDQ558G4IWpk4nWcRLhzyTem9zN1FcVMAK18R91KjEqy02TNhFC46ON6gjBdHp5CZdHJQEqwSk8foJBfULpf/OrqmB66DQu7fGp3E94TuVteMbajC/R2mdnGO7FzxNkNcrM2HE7ofFjCI0fo3puAc9fEAuoflzCCkKQoCMZa1AiruGeGQ/z3nvv07Vr11b+Vk8v/qjX+vXXX8+CBQt46623mq0TPlUtPZRbiuhoyYIzgl4xljMEyhmNzJkqW28vtN/zouwcuvXqzQ033HDG5+EIf9Tr3NXVlXnz5jFr1iNcNmyIJI0iigMqydBHMURDQGHS6Ui4q+/+C821LkZpsAhPN0Nti1GUxl7aTDu+NnrUUXCYJmsHMmpOsJVf+XbRKlxczoyJwv+c2aYRLrvsMm66ZQqf/7yX8vRtHPTy5q2EgdwZn0C0rz9Zx0qkmFgLkb7Kdgkl76KHOVSjpqpi4iaRt3midMIWRpS3LJ4kiYVwy44aGs7yhx5m5vJlYDZTWFRE1rGSZukuQIqPRfTF4m6moTRdEij/qCRqAxLxKN1IWW6atH/wvvUTpqxaxX2JSeRUlJFTUWZT0p5eXiKjVAl+PQkKj2DJ8q1MmzjUJvICTT5VkcNTpOhYRFy0rll1s9fibY6Ciu1ymZin3noB1H434li//lbDrXffyKOPPi+jDZ1oPxRFYcmSJSQnJ7MrexdvxV5mE8VJLa4mxMMVNKkUvTZHpK6C+plbjH60FOFpa+pLzMEe2uIM3lqBsbPN/fTfo/gZ0rsb5/cJ5p+pO9lt8mHrJ5/8niqm/vBISUnh/fffZ96rr3P/Uy9ILQ4gSY6WVEy4pR/mIX3xGjCU2dMh7ZYn7YplxfZamIeovXe06Z2LHxkNwHZrOkwbfdHCHpHQRpSMoE0f2YvciIopp7yq2im0tpfqi/B04zdLA8tqS3jjvaUMGTKkXcdpDToJjhXz589naUgwXKgSi3dXrZZkQhCZwqImr6qRCQNlhRU0CYxHxfTkrUMHof8jvNQ3TG1QZxXRfnRvHxsRLajRlcujkvj31Lu44Z1/Ul1SDDRFWkDtlCz8rfJQuyfHzH1MVm9NjUugoTS9Kf1lCqciY408zjdFuWzZsZOxA/obnruIUmk7HD/6eFMxRVluGlEBsdSjEhvXuCkAuFrLxYVYuSFzKXfG/x9Dn3+a6pJiFj7+GFMjE5j47Hssf+p2vtlTwczbhwHWKJe1L5BA+eEDFCtB/N/sz5l+7wM88MADTv/+OuEc+vbtyz333MM999zDFyey+MKs3pgFyQE1XbV7W6HN8hA70Zb2pHjspZ9Oh+bHXmTpdBqKOqpMA5ixZiuHFQ9S136Fv3/LDUM70TosWrSI+P79ufL6/2N4T1XvoY/iCEIiyA2ofXMS//sfLv5yCdvnr1WJTjuiGhc/MpqLUQ0uRRm1HvpokhaCONgjMtplztgkaGFPA2R0jLZGiX45VcP7J4/w5LPPcNttt7VpjLaik+BY4e/vz9I3/8mUB++D+B5UpW8jp6KMZD8fgiN7wtTJNtsLwiH63wix8esb09iyYyfVJcXc+dobRA5PkQSn8PgJ2LEHduwhJNhPVihVukdDfS33jrmarISBPDFoBCZq2FBeQdW+DDJLiomcehfF9bVc7lnFd9XI5atDzWpDQFM4tVgFxXXI9BhAkm8UL2jmL6I3MW4WqkDVAlnd0j1KNwLYpNeE+3m2SygxAQlssPbwyakoY2rcJLD6TflHJfFTdYVMtUX7+lOFJyarueb3M2ZLEbGbKdwmPRUUHoFf914sXrKZRx6dwzO/X7HlHx5z5swhNjaWrVvVG73ewkFA+zl1WyGjsI2eCCKiFeuKz63R5wiRr1bYDLaRGEdEREuIWtLotBUtldK3FsW1tewsr6GgIAtPT8+Wd+hEqxEaGsqcxx/npeefZfiH/5RaHK8BQzGi0EKfI+wezh83jYuBiG17ZRTEsIR7WIR05zaCIE5m4BKDaIozEZ1LULU4+TX12OtrfUl3vxbdyLXH01ZzabdZsf9Yq3r9tBRp+u/Jcv726is8+OCDTo3XkegkOBpUVFSAm+1XonpKVTZLGeVVV+BTl4PF3Ux6daVM8QAMGzSQsQP6k1ddQWxUEiHBi+S6wuMnCOvmJSuU2LyS6LgpBLt5sHrXbn45UsQTg0ZIL6v7Hn/cJrJicTdzOUWy0ira158YNwsWzDZCZ+EDBZBXXmEgXG7qRyP0O0pdEbkZa+idMpOq0mx+XL6IwRNnqOkn92je2rFJCoRTDx0ks7CIaF9/cirqmRo3CQuQ4O7Jwscfk8fTzunSHj7SOLMST0zuZvy695INEP2jktjxaCoPP3etk7+xTrQFXbt25dixY4SEhDDs6D7+E9JHkhx7OFrbwPsbcgmxRnaEXkfbtdcZCwUtnEkT2WsEqE2Vie30REcfaWrpWI4Q0rubDckRn422g+bmm/pxvttXwJVXX9lJbk4zKioqCA9seoBLM06aUlV6dMvZBNb1HuOm0X0cmL9cAtZojl7oaw+S9Fh/alNF9lI59khK/pb8JiGxRqTcUkTJXnpKX1Gl1RFpt+kIkXFliA/XXnt27ulnRunzB8FNN92EV72F5579K4V/v43Vu3ZzzR238/rGNJmKCnbzIK+6gtRDB6l0j0apKyLBL0i6hmvNOoU55uCJMwgKjyB+UD/yy06pkRzUKqWSgnw8Sjdioob7EpO4d8zVFNfXklNRRuqhg/QIDJKEJNjNgyo8KctN445gN6ZGRpLgF8SheoVD9Uozg0yxXEBEmWYuX8astav4JO8gJmqodI+mCk+yXUKJGjoN14AEa0XVDPI2r5R9crRRqnXpO6WmZ/Wu3ZIsgdoccVRMTy73rOKblyaQu3UJPy5fRPygfpgCYmkoTcenLoeG0nTKDx+Q5Mbibsa1q2enFuE0Q1EUJk+eLMXG1x3dB9CM5IR4uKqaHA2O1jZwtLaB1OJqUourObr/eIekeVrSzegdue11B7a3jdF7e/sZwdmuxfaIjXb7kN7dcEXpvM7PAG655RZWrl5L+W+/yWVCiyMiK+K9xzi1SOTErq2S/Ljk76X2yyV4DRjKxY+MltYETj34reaW+VvypbEmOO65IyCc0IW2B5ocxMWYIsWmTbXpj683+xTjaH2q9HoisU3EsIhmlV1tQdeuXc/atd4ZwdEgJCSE6Xfeyfrn5jPvwu5U79kJQOqbi9mSMITJ48fKh7z4me0SSgw1JPv5AJCjMcbMOlZCuq8/kd3/j/i4SeRteIbK2i2EdfOSZdZHi8tJW/wgSff+neSABBujynXpO8m0+lTlVVcQ7Oeh2iSgNswLjR8DAYmylD0mMlJ6PvmGxRFjrZwK9guCGJXYZO7eheVYMZmBwaoB5pirWb1rN/clJjFz+TIWTJzEiKp03EzhUlujtZYQVV2Tx48l0tuXBD+14sujdCMNgI8pHB8g6lQB9VVw1ewVNt+xmNuP1nOOn7JcNi2sdY/G3dObEydOdOSvtRMGmDNnDgMGDGD48OFcc801cnn/89ztGnEakZ3U4mpCfquT6Ssj2POC0i432lebDtOmxfQExV4XZD3sETF9VMge2pOi0ncxdldcOq/zM4DY2FhSrr2Oux6YxdLFf8fb28tmvSA5W3wHw28wJKIvXgbjCMJz8SOjbXroyF46VjGv1gZBC200RJ/Ssfmp60NTZE2PiWMZRWy0JMjRcfWpKCNoxdDabfMdCK5bgqen51m71jsjODq8+OKLxPfti9fqb8A3AABTwhCGDRpIj8AgZi5fxszly8ipKOOTvIMEu3lI5+4qPLkpsidJ5igZdRGVSkpdEaHxY+htbnpIBIVHkDjhRuJGjORIxpqmyEbmUm6K7MmCiZNkTxst8TEFxOIbFsf+lQuk4/hNkT0pz1xG2uIH2bjiU75a+Dx5G56hoTTd7rleEKre2McO6E/qoYMsmDiJyz2rOJKxRnZJ9o9KkqXtr29Moyp9G1Xp24CmPjtRFdtxM4VTVZqNxd2senWVZlMbkMh1qT8ye28h9cOfBprsIQZPnMGmLhfyTl4e2S6hgJrOMrlDTc3vqjnqOYmIiAi++uor7r77bp599lnGFeyWxKb/ee420RyjSI4Weu1Oa+FIpGzUk6claAlLSwLoXhOHEdAnWm6nP56IyLSF3OhJjRZdFaXzOj9DWLx4MX6BwSSOSSHzUE4zt3GAIefV0rObGoVujOhrs43XgKE2LyMHbkFC9JEV7TZaGEVxtMSiaNteSW602h/xPmJYhIzwiHnFTLe1+dI37Gsp4mPvnNrrmeXl5XXWrvVOgqODm5sbr732Ggue/ysB235gend/dl4Xxefjx5F1rIQLQtVS7vvvniZ1JrUBiXxXY1I7+tL0i+wRGMRbGekU19dSX1VAVWk2o0ddwvdZlTI95RsWJx/6VaXZklh4lG5kxKmfSfbzIfXQQZ7fsYni+lo2lFeS63sx/lFJlBTkk7F0IjlLU/j+2YH8aG3QFz+oH/GD+pG5aZ3aD0cHJTAY7yBrBAdVk9MjMIhkPx/KctPI3LROkhyLu5lgNw/pnYWXN0pU00PjuxoTtQGJWNzN+EclodQVqV2RrecQF2bm9Sef4K0MNR1VYe2K7Bc3SUZ/YtwsVJVmqzYOtcWd/9meIQwZMoT09HQ2btzI4MGDGfXdh5Lk2CM7RgjxcG2WqtKShtJ9Oc2EyM7AXjrJGRjpgvToNXEYnrEX2t3O2UZ94qWFVrNjpMsxd/fvvM7PEDw8PFi6dCn3zLifpDHX8tzfXuFEoG2bCpf8vVJ7I2BEhECNmGgFutqUjzNoKUW14qM9Mg3VGnJhT1MELVdVieOJ82m2fzsaCXp5eXVGcH5vuPXWW9l3IJtqJYL+VzzGlfFhzOsTyufjx8kIxutPPkHimwv5JK/Jg0poXiK9fSVxyKuuINf3YnX58BSuHa5GbqTQGDWyUVGYaWN1kOt7Mabp9/DuKtVcU9ucTxChBe9tYcF7W6QxpahG0m4nSNfIhIHE9R/AyNGjqS4pJnP3Lhav+ZqptwVlAAAgAElEQVSJr77CTZE9aShNxy9uElfNXmFrxEkNMW4WpkZG8tXb7zHjDrVMXER2tMcqy01TPaus5/LEoBEoUdFqyf3wFHzD4qivKkCpKyJnaQpRFdspz1wmydlJixvu7o4fqJ3oOJjNZr755htmz57NhAkTKLwlmcR9G3m6Jpuna5quRT3J6X+eOyEerrxp+aWpCsvJ3jDQOqLTWghi5EhvIwhQTfbPzfYVMCIuWhiRmpYiPWKbmlOnOq/zMwhFUZg+fTo/7drNgZw8LhpxJWszj8lozfHoERyPHiH1OY4g9Dj2iI29FJWzyK+pZ8X+Yw7tHaBJxKzVDBnNw0hjI9YJ4uNsWXlbtDjV1dVn7VrvJDgOEBwczPvvv8/ab9L4zasnMTGDWP/e/TbbZO7exQMvzpNmmWlFuVKQnOznY1N99ZnHMD7zGEbu7csA1e7gq4XPy/Xlhw+Qt3klXy18nqrSbNKKcrHk5lC1L4MegaodRKS3L2lFudKHCsDHo7mAS7hx71+5gLwNz3C5ZxVPDBrBT5PHybSX5VgxB1d9TlX6NhLfXEiu78VsKK8k2yUUv7hJNseowpMqPJtZPER6++JTl0N55jL2r1yAX9wkqd0xBcTiUbqRgodGcFHJV7LBn2tAAhZ3MyUF+RzJWEPe5pUEhUcQOeRODuYcp1+/5n+QnTh9UBSFSZMmsX//fry8vOjduzdvvvkmJ0+elAJke/hPSB+bbTI+2UPJniKbqI0WjvrmnM6eNFpoo0sAB5Zvke/tkTQRfWkNidPup0dOdXXndX4WEBERwYoVK1j0jzd4cM7TTJx8F1mHDsv12qiNnuxoSYQgOQIt9pHRCHb16Sgt9DYN9iAIikhlbZ+/tlmpesSwCC5+ZLRdjY4zaSpHVV/OoBELBw8epHfv3m3av73oFBk7gcsuu4yffvqJRYsWMe2vf8MnJJDKLg3g5YElV72Jp765mJdHq2a7WcdKVA2OlQxoS8hFWiv6ooe5aug0crcu4auFz9uIjguPn6CiMBNihsn9hCdVXrVa8l0VqXYc9vFQL/Tvsyr5Pmsr1w6PkIaZYd286J0yEzdTOPVVBfgAbxfXs3pXGt5BwVTlNj2ACouKuOGdf3JBqJmxA/qrvX9QozeiQkpEbITAWhC52GA38javlG7iFnczvmFx1AYk8udVn/L5+Emsf3YYR4vLuTZ5nhznqtkrbNzFi4qPoSguhISEtOv31Ym24bzzzmPhwoXcfvvtPP7447z00ks8+eST3Jq/i/u69gDUdJReiPyfkD4246RuK6S/9aEef5NzD/GSPUUd0mvGXsTGGZ1PyZ4iuwaZzhIb7Xb6/bRjZ1VVc0N8vFNjdqLjMXr0aPbu3csrr7xC0thruWLUGB56dDbnhzUvKYfmZAdUknPf4qbPSQOGyg7IE8BQ62IkNhZwlkQIsbE2UiQ0OdrKMC2EskyQILG9dpl2fEfzaanvjRYe7hbCw8Px9vZucdvTgc4IjpPo2rUrDz/8MNnZ2fxl0i0E5pcy+LwQqGlK08SnjCLa15874xNkVVVetdp5WNgjjIrpSY/AIHIqysh2CSU0fgyJE25kx74jfLE5n++zKtlf1EDmpnUqqfHyRgkMlvqYi0q+4qW+YTRkLgXU3jKVtRb5+nB9Hh+uz2N/UQMhwX4yWiIa9QmCFWY203P89ShR0Taaml+OqFYR6eXqa0N5JcX1tTbpqEhvX9n9OOtYCRZ3M5HDUzAFxEoNTkVhJp/kHWTd2rVsKK/kqtkrpM1DXnWFTLeFxo+RKbVVix6hm1tlZ/nsWcZFF13E119/zUcffcTHH3/MhRdeyJD3nmFRvW3ayh5Eymr3b3VkfNK8c6s9XYwjctPayIlIQzkjNNYKjPUvbWm3Mykoe/PV75d7qo7+/Y07i3fizMDT05O//OUvZGUfoldcLGOvSOLuB2ex+0iFbPYn0BhhSx5Eakss8xowlMaIvrKU/IfD5VJLo0dbuiGLTsZG0EdpjLRDstmgg4orPex1TW7N/I82njyr13lnBKeVMJlMzJ49m3vuuYfXX3+dH+d+A32iwUdlqDkVZYx7fDZfvviSSnK8fWVaR0Q81OZ4ZaQV5TI1MgFYQ1g3L0aPUgnAkuVqKPRyzyoyln1OXnUFG8orGREQK1M6JQX5DJ44A7/uvfg+6x0i/LsAqtt3Za0FUKu0GkrTJbkBVfjcIzCI1ZpzGpkwkMxC9T/f+xKTSD100CbqpK3gAjWSI/r+qOdmwS9uEg2l6Xzz0gQA4kaM5DbvYm56410ALPjQO2UmlG4kOSABNGLs8sMHyNixhy37ahh10z3t+fV0ogMxbNgw1q9fz8aNG3niiSf46quv+Pe//811R/ex2zO2xf0F0cn4ZI+M5IiuxW3pKqyN8Nhr6iciOIK0eMZe2ExnYw/2ytlbmhMYN/7TrtOiodHCL1V1Zy1s3wlb+Pn5MXfuXO6//35eeeUVRl02lA2r/wN9Lub8+jKH+zZqyspFl+Skj4YS8caSVomE9eRF2DLom+3ZIxda8uWMjsg8pK9h92UjE1Jt2swZcqON8GTX15DS13lS1dHoJDhthI+PD3PmzKGyspJ5byyCHhHg4c79d6ulehNffYWSOdPASizSinJZvOZrABZMnCQjKYfMUUTFjyGRphLqaUD0lJVUAsFAWoVKjEZ4qxEP4VouhMaX9vCR8wrrpnZL3l+klu4eyVhDZPJc8srVXjk3WVNPAPc//BCcqKawqEh6YMWFmVmXvpN11nkKclZcXyujLiIqBRDjppKpQ/UKMQEJJN37d/avXEDU0Glq48DSjbgGJMjKqqrSbEwg02YChcdP4NpjfOdN/3eIxMREPv/8c2JiYvjwww+5+eabVRGyZyy7f6tzWGUlHu5ag86OhpbsaN+LCilnSE5An2inttOn0fTvnYk0Haquxmw24+Vl1HGlE2cL/v7+PPfccxw7downnnuR1/72V9AYLAurB32ERHzWEgsRKdHqWByRA0EktORA9MUR6+W2mrSXPkIk7CaM4GVNoV38yGh1G2sZurZ3j348raGn/vgt9caJ8HTj8IhLz+o9XbFYLGft4M5CURTL73WeNTU1zJ8/n+f+9hL1/iaIDAFriqV6zdcodUVUukfLSqusYyVSwwJNfXKEpUF9VQG5vhcz9PmnmTx+rPSlAmgoTcc1IEFqYnzqcmw0LJmb1gGqjuf7rEoqay0898wdRCbPldVdMW4WOc7AN9V9RfM/gFF/vh1Qic6omJ4k+AVRXF9LWlGuTW+ftKJcso6V8MSgEdKy4lC9QrCbBx6lG22cw4X3VH1VgSxbF2XzFYWZAKxdvZm/f/0bO3bsoFu3jvP8AVVEa7FYfvd5r9/zdQ6wbds2HnjgARRF4d133+W1PmNkfxx7JMdRSkffWM9eoz176R5HTf3CU8Y0W1aT/bOhyFm/zIiEZXyyx6n0lKOITkjvbjRaLEz+cScz/voC999/v9EQ7ULntd5+VFZW8uKLL7Lkn2/y8IzpPHLfdBtiI4iMM4JkbS8bZ2BPZKwnR1qSY6S9MUpTueTv5dAbS+Q+9vyz9Noeo2X5W/Ltuq2Lue9uqCQj2o/09HR8fHwMt20rnL3OOwlOB6GwsJCoXhdyKi4CPNWbfc/x17Ng4iSS/XzYUF7JzOXLKCwqYvL4sdwZn0CMm0WSAgGfuhyyXUKZtXYV9yUmkeAXZOPnJBzDBSnK3bqEyOS5VOFJQ+ZSvlr4vLSCABg96hIih6fgH5WkmnpaIToTi+7GAN5BwdKUU0tmYtwsbCivlNYRojJMOJ6L+Yt5aXsBKVYjzorCTHzD4vCzdlfO2/CMjZP48+//xOW3PMXDDz/c3l9FM3Te9DsOjY2NzJkzh2PHjuG29FsAhyTHHilwxkRToKMIDjSVhYvoTksRGy3ZEek1EY1qiYxp+98IdInx4c7swxw9evS0aM06r/WOw+HDh4nv35/vd+2hh28Xw9SPUfQGbCuutms6H+thzyFcDy3BcURu7BEbAUFw9Pue2LVVEh6xXEvSoHl0xxHBuaS7H48cPMgDby1k8uTJhtu1B85e5+0WGSuKcpuiKL8oilKlKMp/FUXpaV0+SlGULEVRqhVF+VRRFB/rchdFUT5WFKVUUZSZ7T3+7wVhYWFcOXQY1DRVl2Tu3sXEV1/h+lVfAnDvmKsluQEkuREiXhM11FcVENt4hM/HjyPZz0d6RWW7hJLtEoqJGklu6qsKyNy0TjXL1JCKQX1CGT3qEkaPuoTeKTNxjZvC28X1PL9jE39e9SnP77BtaOUdFExc/wEMGzSQaF9/borsKYXEaUW5MmK0Ln0nq3ftlimqZD8fm/kLciPTUdgaCQpyo9QVsXHFp5QU5MtXXskJYmJiOvJX0uHovNbBxcWFUaNGkZWVxZuWX4AmfyptZZV4rycnWmIjiEJLPlACRoTBGbhdYBsiF+TG6L32M2AY2RHCZTH3XhOH2T0HPeHZe6CYmJiY37WQvvM6V9G9e3d6xPXk8KFDzUTHLUHb+dgRtBoXAUfVSYLcaLsYC8FzS+QGIGb6NPnSe3GJTshF2/baEDSRbtNWhTkTkeo6uM9Zv6e3i+AoitIDWAxMBwKBr4HliqL4A8uAWUA4oADPWXe7CjgARADJiqKY2jOH3xPi4uJsqqosuTmEmc2kvrmYa/7vBhav+ZpFby8lftL13PDOP8mrrrAhJlV4yoaADaXplGeq/XIEqRG2EB6lGynLTWP/ygV8sTmf3K1L5LYhwX6ygaAoERfHWJe+U3YvzqkosxESg5qWEn1tgt08ZBQHVKHxvWOulj10AEmsxNy05Easq3SPxj8qCd+wOEl46qsKbOZ5tLic41WNREefvuZv7UXntd6EuLg4MjMzmy0XJEfvZWWP5Oi1M9qXfl99NZMjBPSJxu2C3pLY1P+y39lTaxGih46I5IieP1po56j/WRvi3nmd/4EQHRNLTrZt5aCWULjk721R1CvKurVdgmdveZ3ZW163MbN0VCllBEFu7JEvZ8TGRjCqtDKqBhMw6usTMSyCgkOZZ/1ab28E53Jgg8ViWWuxWGqA+UB/YDyw02KxfGGxWMqAecBE6z4K0AVV4KwAv+84ZSvQo0cPmwgOwMFVn9u8t+TmwIlquUzr9p1eXkJaUS6V7tHS7FKpK6KhNB0TNWpPmtJs9q9cwFcLn2fJ8q1U1lpkqscUEMvgiTOIH9SPjB17pPWDUldEkjmKC0LNXBBqlpEYaPKjGpkwkFExPYlxs2BxN0uPK22jwqmRkUBT2kq4l/vU5cg0msXdTKV7tHQoF8tMAbE2ZC5uxEgSJ9xI0r1/p3vKbBq6nn/W2X4L6LzWrQgNDaWyspLKykoZxYHmZpxGZAdsq570TfcExHp7hKYlY8/6X/Y7RWycrbAygj4a1RJOWSx8W1XO4MGD23zMM4DO61yD+D69OHQoC7CfjjKCUTRFRD8u6e4nIyRJHz0nHcrldlayoCdFAloC4pK/l/Pry5qRHEcpMyOIbshG5EakqM57+UOOzl7S1P3YQcPCz1P34uLuSWhoqMPjnm60l+B8Adyn+TwIOAHEAz9plu8Fgq3Mfh3QCzgMrLNYLNUYQFGUaYqi/Kgoyo/tnOMZQ0BAABOTrgLgxH/eZdTd99rd9uCqz7nm/24gPmUUaUW5shpJRE0EeRAQkZGKwkwyduzh+6xKAK7q54tf916YAmzLduMH9SNv80qOZKyhLDeN2MYjvDx6PHFhTeNG+/ozdkB/6ZKuLQcX5ESrDwK1dD228Yjsd6PUFUlSI7odCwhCo43qKHVFsrKrfvjTHM78iT/f81fefffd33tVyWm51v+I17miKAQEBPDrr78artebb+7+ra7VaaX2oib7Z0Pyok1B6dfb20cLfYm7PkVl1ChQ4O3Dv1BbWcuMGTOcP5Ezj857ugYBAQHUa/4h1ZIcZ4jOoTeWSKNLaCI52+evlaTDWQGytjmfFoLciJ/25qXV3wic2LWVQ28sadYJWXRI1i5zVDKvjTyVNdbz17wcli1bhovL2W21164ycYvFUizeK4ryJ+BN4DFUxp+r2a5OUZQGwNdisVQBNzkx9hJgiXXsP8R/BCaTiepq9Y/B67rJPOVzkFR6trCXig3lKmFJ8AuSxECUUYvKo4ZS1bAyJNiPa4P92LHviGyeJyCqknqnzKSqNJu8zSspP3wA/6gk8qor1D44Y66WJpfJfj5URfZUNT2lP9MAuAYkSBGyID0mamRPHUG+BHE5VK+QV11is61cbxU2V5Vm4289j9B4VQB6+LdfWfD819x51/2MHTvWuS/5LOF0Xet/xOscwNvbW17rAlpic7S2wVB83FF2DNookB6iKkqvp7EHR/YRRhApKvFTLNN+1p/n5uOlrD1azJ68fFxdf7/dOTrv6bbQ3tN/dfNvZshpBG30xlFqp2jbXti2l0u6+zHBWpmkJTsitQXG5ObErq14jLN1EDeah+jPE6PTAzmK6uiFxuYhfan9cgkXAQzpywTruenJWQMWlp0s5rlXXmbEiBF2xz9TaJFeKYoyR1GUBoPXO9b13RRFWQksBKZaLJZFQDk0/SuvKEpXVDLluGvSHxz6m/5jH6gXhylhCAdmDTHcp+f461m9azc5FWWkHjrIJ3kHOVSvSPKgxf6VCygpyCcoPIK4ESMZPeoS/Lr3koRh/8oFcls3UzimgFh6p8yk/82vykZ/AnnVFbyTl8c7eXnS7VwPvUbHNSCBbJdQDtUrNumnvOoKUg8dJL28BI/SjXJ7rdEnQO7WJbKsXakrYu/Hy/6fvfOOr6JK+/j3JLkppJAQSAGSEHqXIgiitFURZLGsrq51xbL4KtW+K4qvvq6rKGthUdZe1i7KKoqFpmBBlF4TIAlJICQhpIeU8/4xd24mN3NLkpvk3sv5fj73k9yZM6fMPDPzu6c8D0FBFh566CHTc9PWKFt3H+ODvyU4c/rnagKymVhyJlbse2d0AeQo/Z53N7Ln3Y22/Xk7cm3/G/+a1d/YoxPZN5rH9u7nkUEDiYuLa5S2rVF27j72z3RHk3md8dOhIlu0bmgcA8reE7H90JS9uHE1gdmd+pmJG13UGHttjGUZvTbr9THG1wJICyqhU4CFefPmuaxDW+Dyp4SU8jHgMbN9Qohw4HtgE9DfquQB9qKN2eoMAA5Yx3T9lvDwcEpLSyn//FVeOqZ12X32nw+4asnTfN3rRrL/2ZfJa0oazcvZn9LTNnSkx7HqFZ2IBatfnE3LKTq0xyZuoN4poP7XEtGd6NQBRHXrS1S3vpSE9CQiJFGbuFxdaVv5pHsf1v3YALZ5NpaI7tpx1vk3oM0LmhQdSU3BZipjx5NZph0THx1qW7KuBxrt0yWOScnaCjFRlav1PBmWiUN9703GpuWsW72BO+Y/QmBgoIevRPNQtu4+uq2bocer0rF3Bmicu+LuCip3MXowNsMocvRVU/bCx34IKqx3f2Kt9TUTUI5Ejs7BsjL6Dh/OrT/91NTmtArKzt3HkZ3rE4ydoYduYPEXQL1QMQoIo3BxFfzSzNdNoSWm0dCRXi+j7x5jb47ufdm4NNw+/9wfdjrs8bE/zuht+XBdBa99+4XXrBJsaV/pNUCulHKm3fZPgCeFEOeijdU+BvynhWV5PSdPniQyMpJ7d2bz/EuvcMOjN7L6sKB08w/M2fwDc9B6c+zRnewB7M/OZUqvfg38x+jEdU8iOnUARYf22PzK6JG7q0uP2BzqaU73KsESxrHqSv69fTP7s3Ntzvt61+XQKzkZrJOG06u13pkStPT6cavT97E/O5fkqTNIgQa9MXpsqnW5GRzOybVNVtaXvkei9e6IqlwiYnvb6qsPtxUd2sPBnEpf8lysbN2AbusAL8jDzBI9gMbiRmfbySoScO67xhPYCxtHvTb2Qsf43b535sinqxqIMaPI0VdTgWPfPmLW7Qzc5HySpxeh7NyA0c6BBoLCbNKxfe+JJho0gWPsxdG/Q73TPTMHe65wJG6Mq6s6Gepk1rujLzk3ztHRl4wbe3rMHAMah6gkkuKOYV71TG+pwBkKTLCOxRrpBdwAvIG21PAD4O8tLMvrSUtLo0dKNx4YeS6P9pDs/vQpHr34Th5YtZ74aRMAKN38Q8ODOoQTMWioTYDoPTna8mpsk4e7Dp1GzvZVALaemojY3rb5MBasK5isIiWzrBjCtaGo/dm5HM7RPn26xDEpOpnMtQ/Tdeg0vgu0vhDCo4i31E8qjreEMqVXP5vX5crY8Q0ETrwl1DZP54JRI2zbM8uK6RUtbeKmJKQnkdAgvMSB9CMsej+TujrZ7ssIm4CydStSStLS0hqsetNFjpm40bcZJ9w2xf9NU5wCOpskHNa7fyOfOPb7jXnoPTf2OJprY/z/6O58Yvt3YmXOUd5+8EGefPJJl3X3EpSdG0hLSyMhKcVpGvuJx8bv665d2CCtMSwCuN+Dk/vDTox3S4dhZzvsQXK2dFyvl55HIoZAnIa8zXqo7MM62LZXVGMJqeNL8unevTddujRcFdaetHSS8R2AoyUBGcB/W5K/r5GWlkbHlFSOVVcSW5BGdOoAHjgsuCWqktmPPMrzL72iLRM3Ul5GN0O8kz5d4mzxn2RIIkGG1VRdh2ILgQDYhoB0SvUeGLB5QF5XXG0TTbPHT2RSdKTNZ05l7HgoyuNg8QmSw6NsE4mDYrVhJn0oS4+EPio6juRwYfN5Y1x1pUcW14/rZZGkBXRlXeY+2xBYvCWU4zmnOP/ya7jn3vv5eM4cLBbXXjy9AWXr9eTl5RESEkJMTMOHaEJoENtOVrGoIo0VCYPapi52oR6Mk36hfrip+8XTnPrFMRuqsu/VsR+Gsu+5MUZOTxjYmYd37+XUwEGseuophg8f3rwGtjHKzhuyf+c2ho2b1GCb3otj6yEx9KIYxU36suUN4lCZTRT+efEXDrdDQ9Fj9DTsLOaUmbjR6xyQtdN2rDFQqJH0Zcvpdduttv16z45ez6yNWYy+a6qtjkEhdbxclc3f//k0s2bN8prhKVDBNj1Keno6cb87hytefpF9Kz8m+5838Ny8B+CRR3m0h+S++ecSEXsjDxwWPLfwAUAbssrOzSU7N5e+3S7iyuR+Vod52sN0TUWETTBoTvsaihzAFoIhsuqgbWio1LZdi4Glh30QVQdt8aEyrGKoZ1SM1YngBnK2ryKqW5o29BXQtUHIhggqiKzLhar6kBHJ1mjpeoR0PX0pYWSUHuOX7ds5tHotIdZVYts2/8QNf57Jfffd13oXQtGqpKen07t342jiiyrq7fLSo7tMRY59sEpoXhRvs14do+CwD7FgxKwXp/rwbqfDW8ahKL0sPVxD3o5cKmtr2XGqjLTqCmqlJOJwOT9WVnH444+JjnYdgVnhnRw8nMEl16Y22m4UEWbzYKB+CMrMj40uVsx6bYxDQXqviRn68JFR6OT3bLhySa+XcVgtNGkwdYY06cuWNxJY9sNV5Vs38dzt7zD6+0zqhnTipdIETvSL4Mf9BzlYV8F9Dz/E3LlzTevZniiB40HS0tL4b36W5vIK6DbvdfrNuIz92bm83uUMzs9eRXH2fr7al4hI6ckFU6cCsPqFpQA8t2s7t7wzShMRVup7SSq04SjraqeYlIlWIRNmGyqaFF3f26Nv6xkVY5tYfKy6koiQRNtE33hLKPHRoTZBVQ0N5vXEW0IhvH7YSljDQwBEhCSCpd7nTXx0qK2um77+nCdWrGL9+vWcOnWKCRMm2IYzRowcze23O/YPpPB+0tLSTAWOPY5Ejj2tEWFcxyhuHDn+czSsZTah2Distm9LBj9MOo81a9awbds2hg4dypgxYwgN1e6Xfw8frsSNj3PgcCY9erp2QFpoiWkw18Ueo0jRl2wbYz0Ze2ccHafjKGZUh2Fn24SMUYDpQ01mgsgsb13Q6KT960W+OZzLjhkjWbphA4GbjjHBEkfKgLMZ1X8sY4OCvNa3kxI4HqK2tpZDhw7B8D7oCqffjMvYMGsuoQUbyNn+Kl/3upG5f38cmaHNw9En50aMGktZnjbRON4SClWGCbp2zvL0XhwdvRcls6yYUsJskb314SW9R2VdbgYTE1O0NBHdOZGxjgjqfezIEG3VVlDseNKsPTtY/+pxpvSVWdBwOKyXRSIrsvn+67d5/rVv2XOolHvuuYeFCxfSp08fr+qyVLQc+/k3zrj06C4WhWliyFHEcXdxFODSEUZx4kzEmKXXvxvn2oxds54fJk8gsFcMn+Tk8tqJk1x+RiH/+7//y5gxYwgPD29KcxReTmlpKcUnixjYORR3XPHZDwMZ/dg4wl7Y1PuraeyUD2iw1Nw4L8detDjz12McooL6HprcH3bS8ck3WbI1l9Hjz2TI2n/y9v99xFv5uZSldGfBny7gscceIzU11Wee6UrgeIjMzEw6d+7MEeuS52dfWK4t937oPt6dv4BerOL89FcJj4unNOMgIqUn2bm5tiXjsx95FKhfqVRKGBFWkaNj7/hPVOUSbx0qMkYd1xzvFdt6bmx1tE481kVKzvZVpJx9q60niJCebLbOydHn0/TpEqeJJOuz+xgNo5/nbN/Fw88vZe3atcTFxXHllVfy/sp7CQtrGGhT4T/s27ePiy++2O30LRU29riadGzcbj93xn7OjiPsj6mqreXhhx9mReFJDm3ZyoQJE1j10EOMHDmy2e1QeDf79++nd89UikLMppo757nb39G8+zoROfrKKb2XxhjZWxc8zlYu2USOXegGHX2Yyb5XKPT3t1JnTWvsRcramEXix//gzNpInn76ezZs2ED37t25dtb9zJ8/n+Dg4Cafh/amff0oe4DCwkKmTp1KTEwM11xzDdXVmv+ZU6dOcfPNN7dZPfbu3Uv//vVj+HNm3cqk6EjGjRzBqOg4orr1ZcOH79tWUcmMg4wbaV191CGcKb368fjIM6kp2GztXdxoN0kAACAASURBVKlo5OzPEtHdtgxcXz0VQQW9LNImbkDrBdLnxtiHWtCJiO1tEzdG9Pk0OrrQsSekZB9vPfo3rr/yKs477zy2b9/Onj17WLRokRI3rYQ32Xq/fu556LYfonIVKNOIMwFjts9RwM7YQT1tTvrcWbllDKSZtyOX3cXF/PmXX9m1axfLli0jPz+flStXKnHTSniVnbsxFKuj996kL1vuMGimHqm7fOsmW29M1sYsU+d6zjA6DzQeaxYF3D7sgr7aSw/R8Nzt7/DhWzv4/mAhU295lmseXMIll1zC3r172bFjB/fee69PihvwA4GzZMkSzjrrLI4ePUpoaChvvvkmAC+++CK33HJLm9Vj3759jR764dMuBOD6le8T3fdP/OVQw/HU1W+8Rr8Zl/Hs00s4t3YvRfvfYfenT2nhFfa/w4mMdbZeG13U6MEzdWoKNlNTsLlBvrro6WWRtmjfxp6ctUUlvF4Wz0vHqllbVMLaohIe3fId72XuI96izaXp06X+A1rvj+4sMOPwYUaNmsTuA0fZunUrs2bNolu3bh46kwpHeIOt19XVceDAAbcFjj32MakcBduE5vvMcZSnvQM/s/3GNFJKXj2cwT07dvHEq6/x/vvvM3bsWJ9Z+eereIOdg/ZMT+rbdJ8uxmXUxtVTvW671TbB2L5nxiwMg1nvTdK4JC6/dghnpUYz+q6pjF+/opGXY2OvjF4foxhKX7acddcubBBqIa/uFEurski+Yio7duzgxhtvJD4+vslt9zZ8fohKysYhTcrKyti1axezZ882OaJ12Lt3Lym9e8O2jbZt2z9dzb+3a+Lj5czMxgeVl7Fv5cf8NTeXP1yjeSROPqe+61+f7Av1wS8jrd6GwTrUVHrE5qRPH94yxrXSV1YR0tM2zAT1QT31cAz7s3N5deXnLE1M5PZpF3Jlcj/bcJWepmdUDLuzs1h4+dX8ZcHDLFiwwGfGYv0Bb7D1zMxMOnXqREREhOvENPZi7G4Pjv0SbH2bUSAZ87IXLLpQ2fPuxkbLuBMGdnboRdnYM/T+kWy+zTvOroxMEhIS3Kq3ouV4g52D9kwff94Ut9PrQz5J45K4nPqhJH0yMNT7nrEXL0bPwY7EjRF9WEsfkjKuhNJjXJnFwdK3GZevF9ZU89yhTB7/9zJuuukmt9vrC/h8D86CBQv48ccfSUhIoLKykuuuu47nn3++zWd1/7prB5171juE6jfjMgAeGHkuX23+lTmz6oOi6fNt7ImI7W1z7Gd04gf1c3P05dnHqitJrxaaLxsrpYSRXi1Ynb7PFtdqTUWETRDpw1X2/muWrvqSjVt+BaBH18QGQ1RQvxJrf0EeD94yi4umTePOO+9U4qaN8QZbtx+KdYVx6fjQK4c0iLwNDXtNjL0uxnk2+sdZRHJnk4/tj9WHsOyXfRu/f59fwJsHM1mza7cSN22MN9g5wN5dO+ndt69bafflV7Ax6kzKL7sX0OJLXX6tFgjZOCylT/C177HJ2pjFumsXkr5suUNxYy9Y9Hz1+TM/L/6Cnxd/YeutSRqXxMS3Hmm0EsvYC1RZV8uDmQf4nwf+5nfiBvygB6dTp058+eWXtu9FRUVkZ2cTExPDpEmTyMzM5Mknn+Syyy5r1XpkZ2bRLSWFY6vWs7kozxafaXNRXoPYUwDPLXyAZ19Yzl9ffhWAcSNHEN3397Zo3bbVTVW5jebIHDPElUoOj+K9TM3PzcTEFFvQS3vsI4PrHCw+wf7s+od6t8RELhp2hs3njebYTxvaWpebwd8X/i8jomNZvHhxM8+SoiV4g60fPnyY1NTGfkEcYZyDYwxW2RTMhI2zniBHEb3dyRegqraOR/bs45sfNpKS4tyLrcLzeIOdAxzOyibZzevfr3MY+/Ir6FR9gpOY99DouDPwqgsU+8nGZuEc9KEm+8nMWRuzSBy7qcFQ1Fmp0Q0mNr+bf5QzZkxn4cKGHpf9BZ8XOPYsWbKEefPmcffdd3PLLbdw3nnnMWHCBCZPntxqPimklBTmHWdAtyQ2F+Ux/eorgHrneo3oEM7ExBRunHERX23+1TzPkEQtrhOanxrjsmyg0QRi45JwgCm9+tnEiS6IAHrX5SBJZFR0XP3w1LatWjwsq0fldbkZ3L11G4DNC/JzCx+APYf48/MveE1wzNOd9rD1o0ePkpjYvLkx0HDIyB4zYWIvQsyGpRyFS3CE0eOw2ZBXelkZsQQyevRol3kpWp/2sPOKigoqKyuIjnYc8sCeccW/QLE2JPXc7e/Y5t/Y42z4yWxYSV86njh2k8178E+HijTR8taORumN/Lz4iwbxovT/dUGUZqnm4Zkz/bY33ueHqIwcO3aM8vJyevbsydatW7n00kuJi4tj6NChHDhwoNXKLS4uJshiIT684enUBcT2T1fz7Av1fg2efXqJTXT06Kr1mugThfVJxfqcG6DBpGJ9EnAvi+S9zH2NhpOm9OrHLUNH2dL0skgmRUcyKTqSCCooCelpy/vK5H5cNOwMwuMaTiazXzn16srPtX8qT9G9e/emnRxFq9Betn706NFmDdkkDOxM3JBEBlw1zmXa5kwuPro7n+3v7XDYK5MwsHODj3GbPXvTjhNcp0S8N9Bedn7s2DG6xMW7/eLvVH2CuqTBNt8ys5f+idF3TbUFstR7YvS/ei+Ks/hT9sNYOkbBYrbd3UCdPx0qIiO/2K+f6X4lcJ5++mnmz58PwODBg3nnnXc4cuQIv/zyi9uOyZrDsWPHSOiiCY1J0ZGUrfqSY6vW2/ZnlhWzdNWX9JtxGcdWrWdiYoptKGn2+IncZI3qXVqQZguoCdhiPlWXHiGy6qBtVVRowYZGdfh86zbufPcd29BYZNVB1haVkF6t3aD2S85Bm9dzZXI/Nj2wiM9eeo2nrvqTbZ8e+FMPtgkw8bKLWb9+faN8FG1Pu9q6mwJHd/CnY4zS7QizycX2GJeB6+mNQuXo7nyn83XssRc64wd1I1tWUltb63YeitahPe08zs1VRGZhGlyhix9oLEiSxiUx+q6pjZaL5/6wk6RxSZyVGq0NNVVUN1qO7kzc6McZh7KGdIj062e63wxRZWRkYLFY6Nq1KwCPP/44V1xxBffeey9PPfUUnTp1arWyjx49SnyCVm56tbANF/WMiiG0YAPTr6sf39xsEBE6oiqXnO2rKDq0B9Aihxs9GOu+b/TvoPXw6AEu+3SJ43COFs+qR9eGLwYtunck1aVHsACRaL1EOdtXUWONSN47oju9ohNtPTsTE1PoZalfyZA9ZxowjXsWPkVAwFCPnDNF82lvW3dH4PwweQJTxrbMdUDckESbUHE058ZeCOmxrux7ivSwC8aYUo7yDhQCCQQE+NXvP5+jve08Ls79ZdJ6FPFDf50DNO590YelXK2OGn3XVIf7jL1A+lDV/FtG0Ou2+gUs+iTmXrdpK6scxcM6KzWanw4VESiEX9u5MFuS520IIaQ313PO7FkE1JUzsGQVVfd+wedbt3HRsDNsPTO6PxzQVlf16JrI4Zxc23Lsmv2v2FZPGb0LgyZobJ6G0Xpm9FVRj27R3HHrvmp6RsUwKTqSmoLN1qCZ2gqA4uz9gBZnqjh7P0WH9pB3RDP8uO71in/7lh0MHTmEvCNZ9D33AlLO1m6cExnriEmZyOTL57LwnnuZNm1aK5zF1kMIgZTS6weZvd3Os7KyOOOMM0hPT28USdzIioRBpoLE1bJsMxyJEFd5DbhqXKPgmaCFbHDk2Vhn9W+H+aAsn12nypzWzRtRtu4Z/nTt9aSkpjLvrnscptmXX0G/zmG2sAjlWzeZRgE3w8xTsR6l24ixB8foxE+PQg40EDhQH9Ec4NBf59DrtlsbLCPX6wgwLy+Nf69cxdixY53W19tw1879pgenvcjPz+f1t95jy49reezP7/Fo5UYmTr2aXhZJerVo0BOio/e2HDieR0RycqM4JxmbltvEhT0yJJHNRXmsTt/HlF79bL5uTmSsI/ObT9kORKcOAOqFjU5x9n6b6NEFzvYtO0iIj+bosSKy88tJsIob0ISNLrxKa6LYuXUbI0aMaO6pUvg4ixcvZubMmQ7FzYqEQTa/N46GiJrrvM8eZ0NZeu9NRdpeU5FjDN+gLxc31ndXdTm9HHgAV/g/GRkZrF71OZt+0xZadKo+0SB4pb5tXPFOyjdsAoOPm9F3aWEajCugoHFYBlc9OTpGUWPMS88ncexgW6+NGXoddBFkzK+4pobDJ0sZMmSIW3XxRZTAaSHPPPMMMy65mG6x8MHYm3htyXfccXMfHh95JpllxawrPkG/GZeRnas9kD+46S+ANnSkrXLSBJA+90bvZdn29nyiUwfQdeg029CSvrJKn7x8sPgEk6IjAc1vTnTqANvxQKOeIJ2I2N4UHdrDF6t/olvnDgAkxEcz/vI/2uqgU1qQRsek8dxz/3wu+N3vlE+Q05S8vDzefPNNdu2qjxB+6dFdjdLpTv30ScXgXswoaHowTWd5uWL7ezsYemXjB3tGTSVflZ/g5z2N26Y4PXjyySe5+vobiI6OMZ1fYwyoCTgUGPZxooAGIsd+OzTsmdG9HuvYT1QG88jgxnhUekDO0N9rAifXGp+qVkr+nXeEq66/wW2nnb6IEjgtZM2aNVw0exb37sy2xZnan51LUeQ7DAee2xvB7dMutK12ireEEll1kJTaI1jqulNdcITi7P1s+PB9ps99gIjY3sSkTCTlbM2pXxAVYJh3k1mWx5XJ/YhITublzEyr1+IIDpbFc9Okhyja/w4AyZMe4qXMTCDTOnSVaBvusqB5TL7z4ju1fAs0Z2y23pqCeudsQbGjuOK6+ZSU1/HBBx+0/glVeCU//fQTo0aN4sWe53JGxxDTISi998ZsOMnoOdg+AKaexgxXno/NhI0+38aeirS97Hl3oy1f+7k4myqLec1SydI3Xmt2KAqF77NmzRqeeeElm7ix770ptMTQKWkwHaCByNHFiL2vGR3778Y0xn369lwTb8SOVlbpddAFjz7/5qdDRZy1MQsWf2Gb2HyisopZH31H/DljeeKJJ9w9LT6JEjgtJC4uju/37eGLVzdAh3Bm338/twwdxePbN/NoD8nHM0YBcN+WX+jTJY7JYaWcyFjXYPho/3dfMX3uAwT1nUlGdSXrcjNYuupLbp92oTbh19pzQ3WlzbfN2qKSBsu5DxzPIz0xhd4pE4lJmUiJdRIyaHNz9OjkoPUExaRMtPXuBMWO59Et3/HVml+ty9bH2eYG3fvXR+jYqSuf/Pd1nw24pmg5cXFxFBYW2r6PXVO/8sI+oCY0Fiz23ovthYk7c3GaEqhTFzkVaXsblGkf+gE0sfPL9mxeDarg66++Zvjw4W6Xo/A/4uLiYM8GAiKHkd/z3Ab7Oh/8jvKtmzhk1ztj7GmxnxujiyD7HhlHgidpXJLDnh778hJpGH/KOA9Ix94J4MPfb2PMdVezdOlSv/dppgROC0lMTGRXYSGUaxMSX135OV9t/pX927bywLJXG6Q9cDwP4rsREdvbJnCKDu3hzKvu4Le46dz5wjNk5+YybuQI9m/byufWFVHrrMfuz87lomFnNPJ9A9pE4951OZSE9LROPs62bTdDFzelhPFe5j5bnfWhtJ5RMQQdrOKr9TvYtWuXEjenOYmJieTm5jJlrPOludtOVtHcQUyzISpXq6ic4aqXSC+vTko+GNiVh66Yq8SNgsTERDK2/ASjh5nu14eeOhhiR9mLHfuJv3r6REMaM5z5xzGGYDBiH1wTsImky68dQupjz1L5Xy1y+Btp2RxI6sDHS5b4vbgBH1pF1d51UPg0GVLKHu1dCVcoO1d4AGXritMBt+zcJwSOpxBC/CKlPLO96+EJ/Kkt4H/taU/87Vz6U3v8qS3egD+dT39qC3hHe/zXw49CoVAoFIrTFiVwFAqFQqFQ+B2nm8BZ7jqJz+BPbQH/a0974m/n0p/a409t8Qb86Xz6U1vAC9pzWs3BUSgUCoVCcXpwuvXgKBQKhUKhOA1QAkehUCgUCoXfoQSOQqFQKBQKv8PnBY4Q4gYhxGEhRKkQYr0Qop91+91CiCPW7euEEP0Nx0wRQhwQQpQJId4XQkRatwcIIf4jhCgQQtzZDm25QwiRK4QoFkJ8JoRIdFZfb26Li/aYXjNvb0974k92bq2D39i6snPP4k+27k927qI93mnrUkqf/QB9gFJgKhAG3A/8BpwF5AKpQAjwD2CN9ZgYoBC4xPr/B8A/rfumAAuBDsBnQEQbtmUwUGCtewTwDvCmi/p6ZVtctMf0mnl7e5SdK1tXdq5s/XS1c1+1dV/vwZkMrJVSfiGlrAAWA2cA0vrRY20Fop1kgBnAr1LKT6SUJ4DHgaus+4Q1bZD1/7ZcYjYe+ExK+ZOUshR4Gxjkor7e2hZw3B7TayaE6IR3t6c98Sc7B/+ydWXnnsWfbN2f7Bx80dbbUgG2gqKMB3oYvo9BU5JBwAvU3xTlQF9rmqeAJw3HhFjTRKAN2b2HplLntnFbLECw9f9YNHX8vIv6emVbXLTH2TXz2va058ef7NyFbficrSs7V7beDNvwOTt30R6vtXWfjiYupTym/y+E+APaDXAfMAG4FBgBHACeQFObo4AoIMOQR5UQogaIkpoqvbLNGmBASlkNIIS4Bc1BUiVwPnADDuqLl7bFWhfT9ji6ZlLKGiGE17anPfEnO7fWxW9sXdm5Z/EnW/cnO7fWxeds3deHqBBCdBZCfAo8A9wkpXwebbzvTSnlb9aTeB9wprXLrAhtnFA/PhhNaZ5o+9o3Rkr5b7QxyXuBT9CUsKP6enVboHF7hBAWB9cMfKA97YW/2Tn4l60rO/cc/mbr/mTn4Fu27tMCRwgRDnyP1sXVX0q50rqr3C5pDVALVAB70SZL6QwADkht7LDdEEL8TQhxLYC1LsuATsARHNfXK9sCTtsTh/k1Ay9uT3viT3YO/mXrys49iz/Zuj/ZOfiorbf2uF1rfoBb0SY32W8/FziK1p0Zhtad+ZmsHzsstKaJAT4HFnlJW3YCPYFQtJno25zV11vb4qI9ptfM29vjBeey0TnzRTt3YRs+Z+vKzlvlfDY6b75o6/5k5y7a47W23u4nrYUn/HmgDk3NGz8pwI1AGnASWAnEG477PXAIravwVSDEC9oSBCyx3sQngS+A3q7q641tcdYeZ9fMm9vTzufSb+zcmW24qrM3tkfZucfPp9/Yuj/ZubP2eLOtq2CbCoVCoVAo/A6fnoOjUCgUCoVCYYYSOAqFQqFQKPwOJXAUCoVCoVD4HUrgKBQKhUKh8Dt81pOxECIB+DNKpCk0KoEXpZRl7V0RTyKEEMAVaKsVFAqA9VLKje1dCU8jhEgBrkaLS6RQlADLpZRVzc3AJ1dRndfPIn/JrGFw10CCAxvfC50jHGueTpHBptujo8MdHtMxtrPDfeFx3Uy3h3Xq6vCY0MgE0+1BobEOj5GWGNPtlZi3B6Coptrhvvwqe79ZGscqHOuD3JMnTbfnFDp2Snn8hPm+QgfbASodlANAcZGD7SWQXwQl5SlSykzHGfgOQojgAURUBQdA30DH9tmjg8VlXtHdI53u75hibl86kUnxTvcHJ5jfBzqBcUlO9wPURTi+zwDKRKjT/UVVNU735xa7fk5mFTn3P3bwuHP9XFBgfl/pFOeXON1feuyw0/0AVRk/ImJSqc36wW+EwMUiQW6kkAmWGEKEe79Z+8Q5vifsie3v+NlqT0zfZLfShaT2cztPGetengAlTu51e3JKTrmdNq3A/d9+O484eQbbcSzHuU0bKco66HbayuPpyOJsZNmxBGkIB9EUfK4HZ0yPILn/eB1jU4NI7Gh+IyTFBDo8vlvnENPtCfERDo+J697F4b7o1F6m26O69XV4TESs+Y9xS0R3h8fIkETT7aX1XrAbcay60uG+zLJi0+0Hix0Lj/Djeabb67JzHR5TmWO+rzjX8TEiz7Ety+MOTDYyDKLCIS0rQwztg9x+wKcf/kKILl0JyYvGwvmWGLSOHHPOCDW3aSMJcc7FQ1xvc/vSiR3U0+n+sN79ne639BjodD9ATSfnL4GTAY7vUYCjZY4FPcD+fNcP+Mijzh/WlRnOPczXZTl/MdRkFTjdX1Xn+lrWBHWkNmsTgZ37y7qCfcHSGiPIV5kgYuV+yphKHP2DHD/P7DkrKtrttEmpzgW4kcQzB7iVrsOws93Osy5psOtEVgod/Jg1Y1+++w6Bw444+HFoQv4e82e9GRXh+W6nLT/l2r51qgMiqOvQhdqczUct/WZQvW9lk5/pPjO8I4QIGJAQKLNO1DG+VyARIT79/lK0BpHhMLAnHM5F9En2va5JK1eIrjIWS94wOjKUKKfiRnH6IQICCUw+B0KiEBGJp4QQztWrlyKECBoiomQOVVxEHOG+93tb0coERHYlqMckarN+IKjHpCY/031C4AghIrt2FLUAY1MDsZgMSykUAIQEw+BecLIE0a2LFEL41FNzioiT6yjgPLqQ5KR3TnF6I4QgMG4wAXGDIazTcUv/S3xK0AshOnUntDqcQCYTS5BvvIoU7YAIiSKw9xTqTqQTmDBMCuHmGCY+IHCEEKkxHURx9+gABicGql+zCtcEBkDfFLBYIDqy2hpx2KsRQojRIlruoYTpxBON63k1CkVAVHeCUiZSk/k9Qam/8wmRI4QY2JnggsFEMoyOCDWnWOECERhMYOpkkHWIjsm1Qgjn49VWvF7gANdHhEBStLoJFE1ACOjaBWprAc5v7+q4QacdlDCWToT4xG2p8BZEaEcC4wZTe2xre1fFXW6NI5hk1UOpaAJCBBAQPxRZVQIwzp1jfOFJ+kh4sOCHQ7VU1/rEDxSFN1B1CnamQ3wsUsr32rs6rpBSFkwnnm85ThbuTxxUnN5IKanN20ldwX6oKIxr7/q4yd0BCNZQQA117V0XhY8gq4qpTVtNYPxQpJSr3TnG6wWOlLJuz9FakRQTwIb0WkqrlMhRuKCkDHYfhB6JyAOZPtP194HMEQVUx23lJNspRqJsXeEYWVdLbdb3UFWMLM0NkVIeb+86uYOUsnqHLBZdCeFz8ijD+fJ+haKuJIeaQ2sJTBpLzeF1bj/TvV7g6Px4uEYM7x7AD4dqyCtRql/hgLxCOJgNZZU9fHGpuJTyeA5VISeoZj0F1CqRozBBVpdTm74aEdaZuoJ9AVJK9x2ieAnrZYEYRTRfkEcezfblpvBzavP3UHd0K1QWJjZ1qbjPCByAb/fViJOVdN11tI70/Nr2ro7Cm5ASDuVAwUkoKY+UUma0d5Wai5Ty1F5KAzoTzOcco1SqX7iKemR5PjXpXxOQMIzaIz8I6YveWq2slEdFAdWpGylkP6XtXR2FF6H1UG5CluUjy46FSimPNjUPn/RkLIQITY4RFadqIcRkEXCYxbHICzM7AAgNcbxqJSTM8WQ4S7i5h1hLqGPPsYEh5p4qAwKdTLpzsK/GiUatrHPc01VRa+4brKzasc+w0irzX1kllY4dCpZXmO+rqHQ8z6TWQTkAONpXXgExkZB1LFBK6TddfNNFvNwsiogVju2zo8X175TQKOcOtkKinHsJDo5y7l01MMK5p2TRwfl+ABncwen+ahd+UiprnV/20irXP4qKq5z7zCsqd76/wsX+qgrnHS3VZa48yEpqy04gK/J7SynTXST2GYQQET0IKwkKgGA3f3d3Cnd/pWFYrHPbMhIaG+VWuqCO7ntHlmHu5QlwKsD9dpWecv+HfmGF+/4gj7vh9VunrNT9zsMqJ45k7akuOU5ATE/qcjYHNFfE+6TAAVuMniSa3gv1J+Adz9eoXctS5UCVlNKxe2QfRgjREfgf2s5uHdGW9443lu8tdZgmpfxXO9fB41j9m9wDvNsK2bfWdVP5tl6+FcDFUsrlzc3AZwVOcxFC/CKlPNOfylLl+D/ecE7auw7tXb6qQ+vTWm1T+Z6e+frUHByFQqFQKBQKd1ACR6FQKBQKhd9xOgqcZo/neXFZqhz/xxvOSXvXob3LB1WH1qa12qbyPQ3zPe3m4CgUCoVCofB/TsceHIVCoVAoFH7OaSNwhBA3CCEOCyFKhRDrhRD9rNuFEOJpIcRJIUSOEGKWh8r7TggxxvDd4+UIIaYIIQ4IIcqEEO8LIVw7G2l6GbZ2tFIbGl2X1romvooQYpAQokoIkWDYdo8QIt/6ebgVy27T+8ZBHVrdzh2U6zW2aW8DbXX92xqT52YvIcQpIUSl4TOphXl69BpabcNYv1dakFer2Lon62jNr1XeC3b5tvjaI6X0+w/QBygFpgJhwP3Ab9Z9NwHbgW7AECAfGN6CsqYALwASGGPY7ulyYoBC4BLr/x8A//TgOWvUjlZog+l18XQ5vvwBAoFN1uuQYN32O+AIMABIAdKAS1qh7Da7b5zUoVXt3Bds094G2ur6t+XHyXPzAuBtD+fp6edYFhDigXPQarbuwTq2ynvBQb7Nvvb653TpwZkMrJVSfiGlrAAWA2cIIToB1wJPSCmzpZQ70JwVXdmCss4BgqCR33FPlzMD+FVK+YmU8gTwOHBVC/Kzx6wdnm6D6XVphXJ8mQXAj3bbrgVekFLukVpIimV49trrtOV944jWtnNHeJNt2ttAW13/tsTRczMVTcB5Mk+PXUMhRChQI6X0RDCtVrF1D9extd4LZvm25NoDp88Q1SfAbMP3kUA5UAwMRftlprML6N3cgqSUC6WUNwMFdrs8Wo5JfjuBeCFERAvytOGgHZ5ug6Pr4ulyfBIhRF/gRmCh3a62Oj9tdt84oVXt3AleYZsObMDv7g8nz81UYKoQ4ogQIlMIcZ8H8vTk+esBBAshfhVCFAohVhiHkptIa9m6x+rYWu8FB/k2+9rrnBYCR0p5TEp5GEAI8Qfgv8B9UsoaIAowBoApsW7zNJ4up0F+VnWut6e18GgbHF0XT5fjiwjNbf3LwFwpZZndr0f4NAAAIABJREFU7jY5P95437SRnXuFbTqxgdPp/pDAt8Bg4CJglhDimhbm6cnzFwPsRuvF6GHN901P1MuDtu7JOprRWvbY4mvvVwJHCPFXIUSNyedlIURnIcSnwDPATVLK562HFaGNset0AJxGBHNWjpPDmlyOCxrkJ4QIRuvia0meTSqTlrcBB9fF4+V4K45sCagG0qWUX5sc5tHz01b3TTNpDzvXy2pv27wdcxvwyfujOc9NKeX91k+RdfjjeWB6S/LEg8984GYp5flSyt1SymLgLmCyEMJJ5GT36uUpW5dS/uDBOprRKvbo6tq7g18JHCnlY1LKIPsPMAf4Hq37q7+UcqXhsL1oClFnILCtOeVIKW9ycliTy3GBfX4DgAPW+QKthUfbIIQIx/y6ePpceS1ObPYT4E/66gFr8sNCiN/j4fPTVvdNM2kPO/cW25yIiQ2gdf/73P3RnOemVVh0NmyyALberLZ6Fju5Rz4SQpxnV78awP0Q247r5RFbF0JM82AdzWiVe8LVtXcL6eHZ8N74AW5FmzBotm8WsBHoBJwF5AF9PFDmYRrO3PdoOUAs2oz7c9G6ID8HFrXCubO1oxXaYHpdWuua+PKHhquoLgQOoK1a6AccAia2Qpltft+YlNMmdu5u29vTNqlfRdUm1789PibPzW/QJlFHoa3QyQLOb2GeHruGaMM+aUB/ax3foPmrvlrF1j1ZR7Nz6uHzacy35de+vQy5LT9oXVt1aKrV+ElBW4K5FG3cMAu42kNl2t9UHi8H+L314VYKvIoHlgG6MDiPtsHFdfH4NfHlDwaBY/2+0PowzAMWtFKZbX7fOKhHq9t5E9veLrZJQ5Hb6te/PT4mz81kYLX12h8AbvNAnp5+jj1ivQ7HgbeBmBbk1Sq27sk62p9TT55Pu3xbfO1VqAaFQqFQKBR+h1/NwVEoFAqFQqEAJXAUCoVCoVD4IUrgKBQKhUKh8DuUwFEoFAqFQuF3KIGjUCgUCoXC71ACR6FQKBQKhd+hBI5CoVAoFAq/QwkchUKhUCgUfocSOAqFQqFQKPwOJXAUCoVCoVD4HUrgKBQKhUKh8DuUwFEoFAqFQuF3KIGjUCgUCoXC71ACR6FQKBQKhd/hcwJHCDFXCHGl3bYeQohK6/+3CCGu9XCZNwghDgshSoUQ64UQ/TyZv7WMCUKInW6mlUKIBE/XobXwtfp6A2Z2brffo3YuhJgohNjrqfyaUK7t3m2FvNu8Ta7KVPdCY3RbF0J8JISoEEL0ao3neBPr1C73Q0tR9tUQnxI4Qogo4HrgQyfJ3gDmCSHC3MjvcSFEnRCiv5M0fYClwG1AF+BL4N0mVdwNpJTrpZSDTcoP9HRZnsbTdfSFNrcm7WHnvoQ32Yc31cUXsbP1y4BhUsp03LRvf7PttsYb7Lc16+BTAge4BfhESllrVfjHhBAFaOIDACllFbAWmOksI+uNcz3wKjDHSdLJwFop5RdSygpgMXCGEOIyIcRuIcRSIUSZEOInIcQMIcQOIcRxIcTdTsq+SQiRIYQoF0L8IIQYavzFYP1/sxDiZeBXu2P1Xp4jQoh467bfCSG2W3uY3hdCdLLm4bJ+1nTbhBBLhBAlQogtQoihhvIa5e2ojg7a1aC+9r+M9O8O8jMt+zTAaOem56AV7BwgSAjxvBCi0GoHw6x5TLHazUkhxGdCiCTrdtNrafj/ZyHEM1Z72yuEGG3dZ3rvWvc1siFDfjb7EEK8K4R41HDcrUKIDS7OhZl9OsynKbZvR4AQ4l/W++6QEOJs63GN7l2FZuvAPuv3XUKIXu7Yd1NsWwgx3WqDxUKID4UQHazbTW3b7lhnzyx3n7Gm94JdOd8JIW6w/j/baqcW6/evhBAzrP87ukfsn7VNtl8hxCYhxHzD93lCiM9clOvwHeLi2eHsHvIMUkqf+QCbgHFAb6AIOAeIBv4LVBrSTQW+cpHXLcDbQHdrXjEO0sUDPQzfxwClwHmABO4AIoCfgEygJzAAOAV0NMkvCigHzgCC0QTTR8BEYK81zUSgDrgdsJjkIYEE6//dgWPA2dZz8TraDT/RnfoZ0s0FLMBdwG408Wuat1kdHbXLpL62dhq/m+TnsGx//xjs3Ok58LCd63ZwJ9AB+Kv1uqQAJ9CEfhTwf8D3zq6lXX73AKFWe1iLk3vXhQ3Z28eVwG+Gsj8B5pu0aa+zvB3l0xTbd3Ae7wHCrOfrG7N7V33qbd3s3Liy7ybYdg+gABiJ9ixcA/zNXdt2ZOc0/Rnb4F4wqefDwDLr/28DZcBoINBaz47O7hHjOWyB/c63s9c1wHXOysXxO8TV+XX4jvOYfbW3gTfhRggAqq0X62/AS4Z9o2gocLoBpS7y2079jfU+cLcbdfgDcNxq0BOtF09Y9y0HnjakzQf6muQRCgyyticZeBxYR+Mb6qiTehgFw73AUrub+YS79bOmKzCkCwBOor2ITPM2q6OjdpnU19ZO43eT/ByW7c8fOzt3eg48aefW859j+G4BSoAHgDfstpehPURNr6Xh/zyDXU0E0nBy77qwIXv7iAQqga5oD9wSIMWkTXud5e0on6bYvkmZJw3tHgekmd27p/vHaOtm58aVfTfBtu+j4Q+DAcD51u0ubduRndO0Z2yje8GknhOwim1gP9rUiLnACOBnV/eI8Ry2wH6TrPdDJBBjvR+inJWL43eIq2eHw3ecpz6+NEQVS/2J646mlHVy7NIWAuFCG99thBBiMiCllButm54F7hAOxgKFEJ2FEJ8CzwA3SSmft+7Kk9Yrh6ZGi+0OdXR+7wcy0MaZBzlIU+Rguz0pwK1CiEqhTdbci2acoU2o3xE9nZSyDs1Y4xzlLYQIdVBHd9plj/EcGfNzVba/YrRzV+fAo3YO5Or/SCmr0cT8ODRhYtx+Es0+7LG390KD/VUCQbi+d53ZkM0+pJQlwLfANLQXw34pZYaDdjnM20k+TbV9I0cN7a61tlvRGKOtm+HQvpto28nAQf2LlHKPlPJrtGvsrm0bMdq5u89Ys3vBnh+AnkKIVDQh8AVaD8w5aDaq485ztln2K6XMAraiCcBpaL05epuclWv2Dvkdzs+vu++4ZuNLAkc3CIHW9ZZs2Jdsl7bO7q89c9DUMQBSyu/R1Pal9gmFEOHA92gXrL+UcqVht7RP7wbXoanpVCnlRODzZuRhJA/tV0OolDIUrRvzLLSbyN362cadhRAhaAr7qKO8pZRmq17cbVcdDe3O0cOkKWX7E0Y7d3UOPGbnVhL1f4QQwWjDs1lookTf3hHojCZS3L2WRpzdu029Nz4BLrJ+VrhI6yxvs3xaYn/NeS6cjhht3Qxn9t0U2y5As2WtMCHGCm2F1nEc27Z9PRzZuceutZTyFNow12y0obuNaFMizkEbKgL375GW2O+HaPfCxcB7bpZr9g5x9uxoE3xJ4BxHe2nHoI2d/8FqqPqQlZFOQIWUstQ+E6s6Ho82xmnkOWCeSbnXALlSyplm+TWDILQx1VDrRKz/Qeu6c3STm1GLZiignYurhBADrGLsKTSl3RRihBA3W9X9g2jdpwebmLdpu4QQwq6+R4BkIUQX66+tGxzk54l2+SL2du7sHHjSzgEShRC3WR9QdwO/oL1ErhBCnC2EiAAWAauklEW4fy2NOLt3ndmQGZ8Ck4DfW/N1hrO8zfJpLfsz3gunO0ZbN8PUvpth2x8DfxRCDBFCxAJL0Hq4P8KxbRtpjp03lzXATcAmKeUJtB6hSWg/ssH1PaLbV0vs90O03ptz0ebIuVNuo3eItUx3zm+r4TMCR0pZA/wMDJFS7kCbDPkh2uz71XbJB6N195lxBxAO7BNCHNE/wN+BcUKIM+3SDwUmCCFqjB+0LsDm8CZaN10esMzajr64P6QDsBLYIoToYj0X9wGfWfNMQTO+ppCO9sDQuxX/CNDEvB2163a7+h5EG7/9Ee3Xyi9mmXmoXT6HiZ07OweetHOALWgPtSK0X8K3Sim3of1afhPthTRAr4O719Kufc7uXWc2ZJZXHrADKJdS7nFRtMO8zfJpRfuz3QvWZ8kED+Tpkxht3UESR/bdJNuWUv6GNmn+c7S5LT8Crzizbbvjm2znLeBbtDkvm6zfvwN2S20FL7i+R1ai3cdHaab9SikPo/W+fC+lLHOz3EbvEHfPb2uiTwryCYQQd6GtTFroIt3f0cYElzpLp9CW6wEvSCmVHwkvQdm5+wghXgQOSin/4Q35KJqGM1tX9u0bePM7xGd6cKy8BEwXQjictCc0vwEXoi2VVih8EWXnLhBCBAvNl8xFaL8Q2zUfRbMxtfXT3b4VnsGnBI517O5F4Conya5BU5PlbVMrhcKzKDt3i9HAIbQl5/YrsdojH0UzcGLrp7t9KzyATw1RKRQKhUKhULiDT/XgKBQKhUKhULiDEjgKhUKhUCj8DiVwFAqFQqFQ+B0+4UK8R0KUzDhW0t7VUPguGVLKHu1dCVckx3aUWYX2nt4ViibhE7beLSlZ5hzJau9qKHwXt+zcJyYZCyFk6bvTCeucQkW+Fm6m9JgttAgVnc9k5OzPyM/Px7HTU8XpihACKaXXG4YQQhb+614Kdh0kb8fRRvvjhiSwsCCQyZMnc8stt7RDDRXeji/Z+vYczaFtQrgFgI51pQQVZlJ9eDfb0zO5atFzHPjuc6oP725xeZYeAxt81/O0326Gs/LdOd4RNZ3sIwxpBBVmNkijfzdLb0zrKG+zNI7KdoajsjyNO3ULiYl3y859ogfHFZ9sPMiIESOUuFH4DXFDEhqJnNJT1axdu4EFCxa0U60UCs+xP7+Mvp3DOVpWbRM5Op9+v4XhfTRn8ZYeA5ssctwVHtWHd7tM66z8logfdwSDWRr7bcY26P+7ytteRLW0nt6Kz8zBCeucgojpTVjnhhESIuJ78uHGbO655552qplC4VliB/UENJFjZG9QIIMHD2bUqFHtUS2FolUxvkg/Xv8z98y7w/a9KT0l7qQ1pnFHPFl6DGxRHZwJJP3jiqDCzAbnyHic2f/uikL7fO33tTWeLNNnenDk4JmI8hw4kdZo36EjefTv73VeohWKJtPxgssAKNi1uNG+w/lF9OvXr62rpFC0Cn07hzf4bhyOOXw0n/69erjMoyJtL2G965/9TRUh7vTgNAczceFKcDRnKK4ibS9Ag3PgKM/m9ii11jlyRHOGzxzhMwIHoK5DVwJiehMGDebjREcEU1hYSFJSkvMMFAovR8T3AiDpkqmUH9hH7KCeFOzS5pt1LClnW2Fhe1ZPofA4CeEW2/wb0F7E0REdOLZzCxFnnQs4fvm7K24czUkxHmM/36U5PQm64LCvm6u0ztLbp3OUxll5ZuemKYLKPq2jc92UuU1tgc8InIByqxf1mN7YZtrkZ1BTW0dpRTUnTpxo8zotW7aMb775htmzZzNx4kQApJRqLpCi2chj6Yj4XlhSB9ExVQ8w/zEFuw5SXFFFUUltm9cpMzOT+fPn069fPxYtWkRwcLBWV2XrihagCxvqqhqIicqqKqpOVVNUWtakF6vZy9WsN8BRD4GUkn+89V+2/LaV+XfcxqiRIwgqzGxg52bzcRwJEHeEiSuakoczcWU/T6cluDsxuzkix5O9N+BDc3BKjuys/xLTG6zzcXbkhxLSMZGzzz67zepSXV3Nww8/zOInn2DsqGFMmzaNiooKfv31V5KSkvj222/brC4K/+LFpctsIkfvzenQpx+xg3qyck8Gf/7zn9u0Ptu3b2fixIkM7JPK119/zZIlS6ipqWHmzJlMmzatTeui8C9CKwoAGvSa1HRK5ttNm+mRnMSwiefb5r7Yz4GxfxG6k8YZlZWV3LtwEf957wPOGDyIGVdcTV1dHev25tDt7Iv4ZXvLV3J5koJdB20fMyrS9jYSR/bzcszSOMLs/NrTXOGkX3dPixvwIYEz4+63KSxq7Avn2IkKkpKSbL8qW5tNmzYxbNgwNmz4jleWP8+u3Xs4//zzCQsL49lnn6Vr167cf//9/Pzzzxw6dKhN6qTwHx588zM+Xr3W9t0oco5XQa9evdqkHqWlpcybN4/zzzuPe+fdwaTx5/Drr78yY8YM0tLSWLFiBQcOHOD1119ny5YtVFVVtUm9FP7DH6+bSWWW9oI1vtxyKyA1uRuBgYENXn72L0JnL0Z3X5YnAyJYuf5nho6dyP6MbJ58bhnbdu7iogsvICAggCXP/4uk7t24758v8fO2XWTmNHbfYDY0ZC8+HIkR4zZ7seFIfNjnYxQ79vvM8tQ/Yb37uxxGaw7uTMhuTVFjxGMCRwjxnRBijOH7FCHEASFEmRDifSFEpHV7gBDiP0KIAiHEne7mP3LcBZx7zSPkBA8HQB78EoBPfs5jwoQJnmpGA7Kysvjyyy+ZMmUKY8aMYerUqVxxxRUsvG8Bq1a8zc2z5rB1xx6mT5/Ogw8+yNq1axk/fjx9+/bljjvuYNSoUTz33HOtUjdF+9Gatr569WrmPfYc/3r9XURELPJYOgC7D2dz8uTJVplkXFtby/r163n88ccZMmQI06ZNY/DgwRQdP8auzRsJDAxkysVXMGfOHLZs2cJ9991HZWUljz/+OC+88ALXXnst48eP5+jRxg9/he/S2s/0rjHhTLp+Dkdlw8nGn/z3c8ZNnNykl5+ZADLjUEYGX379LeOnXco5F17M5RdPZ/7s/+HvTy7mtbfe4do/Xk7WkSOMP+ds/rboEbb8tpWpF5xPx6go5ix6gjNnXMs7vzb+4aqLBf3T/eJpttWQoK2MNH6HeqFiL3Lse1aM6Rz12Njna0xrlmdThY2rVVnO9jkSqG1Bix39CSGmAJcCfwHGSil/FELEAOnATGA9sBzIllLOs6YfDTwFvA9cJaUsdVGGrK6uxmKxcN9tV/DYzWcjraupln26g7c2n2LTpk0enQ/w2WefMXPmTIYPH050GNx83aUUFp7kd+PPIjZYq+5Ha/dyxU130zUxgT9efimXXTydUWeOwFKpzRfK2Pcr0//8AH+Zez9z584FtHHeEydOEBAQQHR0tK08KSWHDx+muLiYkpISysvLqamp4eTJkwQEBPDzzz+zdetWFixYwEUXXeSxdp4OeMr5WWvbuhBCSil55JFHePDBByn78iWqDh4AoLZbMsNueoC3PvjYNt/LExQVFXH11VeTkZFBjx49mNKrEz2GDKdTdBRnjxgKwKlT1fQ+7wqyc3KZfuEF/OGSGcyYdiExMdHIY+lIKXnkuZd547/fsHv3bkJDQwGoqqqioKCAxMTEBvdmUVERubm5lJSUUFpaSlVVFbW1tRw8eJAuXbrw0UcfERISwttvv+2xdp4ueMLW2+qZnp+ZTufkXjz6+BPcetvtgObs7/HFS9j002ZWfvAft+obVJjp1kvz/Y9WMP/evzHsjCFEd0ngwsuvpujECcZNnEx4RCQJ4RY+fv1FZs1ZQEpyElf+4VIunTGd4WcMtdnvgZ/X8/ub5/G3qy/i2gvOAbRnd0FxKcFBQUSFh9nKq6ur49DR45SWV5J/YD8Vp6qpqaujqKyS0OAg1v64k30FJ5k9ehBndY8DcCiCjOTtyCVuSKJb58YsT2i6wNFp6rya1hIzbeno7xxrPkaDngH8KqX8BEAI8TjwOTAPEECg9RgBuKWwgoKCOPPMMwkO79Rg+19+P5iln33EF1984bE5AVlZWVx//fX8960ljBk5pME+22RnICVJM7Jbrr2YhXfeTG2H7gDUduiOJf9nUiNKeWLu7/njvXezePFipJQcP36csLAwgoKCWL58OZddpi0Lfu+99/jTn/7E0KFDiYiIoK6ujh9//BGA4OBgQkJCGDlyJL/88osSOO1Hm9j6BRdcwIMPPkhNbf2E4sDsTB7686UsWrSINWvWEBDgmc7X2bNnkxAexIqP/g1H9tm2W1IHUX1oFwDBqYNI7t6d7JxcPn3+EduwGWhDaNU/ruT+34/lw5WrSE1NxWKxUFpaSmlpKR06dGDy5Mm89tprREVFUVlZyeDBg6mqqqJHjx5ERESwbt26BnV64YUXmDVrlhI47Ueb2HlERDg9U3s0EL8nAyJYMOd2/j38LH78eTNjRjv2+WScmOxK5OzavYc773+AL1Z8QMoZZwFwtKy6UbrOKX0BmHv7LG6/9eZG+/uMnsCieX/hfxY+zqLXP6VOSo4XFBIeGkJwUBAv338r0y6/EoClzz7HnGfeYGivZMLDQig7Wcz2rGMAdAyxEBoURHxEGHvzi2wCx1EPTd6OXIdtaw6uVl2Z4S0ro5pCiwWOlHIhgBDiPMPmocBvhu87gXghRATwFXAjcAj4XyllmbtlJSQkEBOfwqc7Jelbj7Dg2okEAv+861Kuu/FGvvjiC0aMGNHSJrFx40YmjB3WQNwElOdQ16GrzQ/PqfizWbDo/0hOTmbNd5u5b86NWMqPUNuhO4HlR+BEGvJEGlMHBbP/9Wuoqa1DdOxBLEfpEGph895jXDX7Fu68806SkpLYu/0n3rnzTP449Swq8jMor6pl9MEO/OG623jqqadISEggJyeHjh07trh9iubRVrZeXV3NwIEDKe9/Lve89CmPXHU+CZ068qfUXry++ntuv/12li5d6hGRs2HDBla//BQWSxAYRI2OJXUQKzfvIztXe8B+/8tWzr2oXuCc+nEl5Qc0YbRqzhWciu9OQLdehIeFEVV0hOqaWu5a9g7dunVj4MCB5B5OZ1TfHrzx178QbAmi/MA+/hUbwJs7sxk1ahRvvfUWa9asIT4+vsVtUzSPtrJzIQTxXboQ06kTKz78gOLiYm6YeRPBwcEs/vsjXHXDTXz56Uf079unxc7fvv/hJ6ZNOd8mbqA+RIQudCorK1n0wF9J7t6db9as47abZ1ISFNUgn451pVx541+YeNZI6qREANGlRwkNDua77Xu54dFlhC19l4QusRw6nMHnT9zD70ZqqyFztv3GmEX/5g99k1j2y166hIdRWFGFzCuzCRhjz4ynRE3BroOmvTjNETme5GRAhO3/jnVOO/yaTWstE48CMvQvUsoqIUQNEGXturzSVQZCiFuBW43b7rrrLm6++WbS0jSRMWDIMC4c2pHzx/TjhXumc+GFF/Lhhx8yfvx40zy//vprDh06xIgRIxg5cqTDIa0tW7Yw8oyGarWuQ1cCynNsQ2Pbd2ey70A6R44cYeiAnqzd+AsXTByL5cB/kCfSKM+3NZ8YgEAIC40ELIiY3owe25v9K8ZwKKeQA3u2c/ad19MxIgQR0xvyM+gQEshb80fy6Ptv0D02lPz8fK655po2X0WjcEmLbN3MzseMGcPw4cPpN/wsiotLOHGyhJfnXEnH8A6seGQulz7yIjfeeCMvvfQSFoulUZ4FBQW88847dO7cmUsuucQ2ZGRPfn4+J08U0qdHvf+o4DEzkMfSqT60SxMuB/bxzPKVPPjQIqSUPPzMi3xz0R8AKHrzyQYPz8jQEDrEdcLSvSsA1cU5hAQH8Nzc63ls0V/Z8d1aQixTGNkv1dZDVLDrIFfEd+Jg2hF+3fA1kZGR7Nq1i1deecX1mVe0Ja3yTL9nwVzm3X0/GVla4M0BgwYx+qwxTL7kKv5aUcuUGZex4p03GTF8mKnI+e+3G8itgFEjhjM4xrHbgt+2bWPEsGENttn34Py4aSNlZWXs2LyRvsPPYsVPewjurs1569s5nH5h2kR6y4ks4qsK6g8MDqYibS/nDu3Pvv88xcGcPA7nHmdkhCA8JNCWLCY8jFdvvZR/fPANXYKDyS4qZXpiApO6dNbqszvf1Sm0YSaInGHsGTKKHWerqJrrQNEdjOKmNfFYsE0hxGG0sdcfhRBPAqeklH+z7gsGqoAOUsqKZuQt9XpWVFTwwAMPkJqayrPPPkuXqCBefWIefaLLWfdLGjP//jmvv/66TeRIKdm0aRNvvfUWn61cQWJ8Zzb/tovQ0BBmzLiYf/zjH/To0QOAmpoa7rrrLl55eTkvPT6HP1z+xwb1CMjeQPkBbQl4XZ1k7F9/YMHCJ5k3bx4Z3y2nY/73HN+1FkdExPe0hZwwJaa3rYeo/MC3DQKKHjhWxV0fFHLGpCt48cUXm3oKT2s8HYCwtWzdaOcAK1as4MiRI2zYsIG1a9fyt1nXMefPV1FZVcWCR/9JYU0g77//vu2hfvz4cT744AOe/r+HGdoriRXfbQFgwIAB3HXXXcycOdOW98aNG5k1axahopafVrwGYOu9KT+wr0HAz03BVXySkcvgydOIi4lk0c1XcPKrj9nz7iZACylhfGh26NMPi82Hj2N0EWV8+FbX1vHK1v28siONrXv2KeedTcSTtt7az/SqE9pwzcmTxTz6xGI6d0/l3y/8i67JqTyyZCkJ3bqz/btvuG/+HD78z+sMP0ObEyal5PtVK3jj48/4/petdIiIYufuPYSHd+CS6Rfxf4sWkpig9QBWVVUx9+77eP/jT3j/zdcY9TtteP9oWTX78+s7mvp2DqdnUCkDR4zh3gcXcd9dC1i+Ziv7C08BcNtZSXSsK0X++mWL/dto91YuP2w7wvPF/8/eecdHUa1v/Dvp2QRSSSIt9BaKggIiIkgRbBRFsWFB5ar3XixY8F5EsWK5WH/Xem1cGwoqXEGkCYoURSOGTiAEMIRUIL3M74/NmZw9OzM7GxKl5Pl85sPulDNnlsnOs8/7vO97gNNDIriuiW/FMqlbvOl6f/w4KsyUHRmC5NSV4FiFDY9VvXHqwWkogjMJuFTX9dE123oBc3Vd71THsXWzeVZVVfHSSy/x6ivPs2XJywA89e+5PPjMe7Q6LZ6pD0xn4cKF7Nm1jWtHn0twUCBzF6+jfZtW3H/zhSz6diOvf/QNH3w0l7POOourrrqKooIs3nnqNhLbdPfw20Bt5lZJTgbh8cks+LWUu56bz2UXDebpyeeS/d0bABRme2eTRCW4+woJkmNcmwnZ0fN3GlWaobZz+kE9kYsf38ALZCxjAAAgAElEQVTebO90+UZYo4EJTr3d61b3OcDOnTu5+OKLefLOSYwefh5lZeW4Us4lwhXOpJtvweVy8cZr/2bYGV0ZcVZ3Plq2luyiMiaPOodOLRK54/n3GDnuCp588klWrlzJxIkTeXXmvVxy/kCCgoIoXDLPIBqierIgODHdEpj4xbdUBQfx8ZdfEr/mM2Pf7E1ZXj2z4lLa2ZIcLbG9kR0mzitXbAa4e00ql48czMQnGsm8P2hAglPv3+mC4AgUBkRSUVHB8889w9dLljBnwTcAvD7rEV5+YTbt27Xl9lsnMe/zBeQXFHDNleMpKi5h4aLF9Ejpxt9v/wtz583nsy8W8No7c+jQsROTrr6c6KgoXnpuFs3i440HqyA4aVlHSElqYig0b85dwJOPP8Y5F1/O+Ml3GXO7pFWQQW6cZDJBLXkQJEEQI3H8rx9vYkdFCf93+ACz42rDvqmFtSUXekWFWo4vE55jITnyXM1wLCTnZCU4ccAOYDTuWO0cYIOu6w/XcWzLL/7vvvuOc889l9SVn9AuuQXl5RVk7vyVb9f/xqZdhzjrjBTGXzKc+V8t576ZzzP/8wWsXr2al1+czZpPZ/Hr1j289sEiFq38ifHDevHeSw8RFO0mIAEmva+EggPg6jsZcBMfWbnZvd1bSo2NdtfpadHDuyCh2kAUMAiOrOLouk63B7cTHx3GuSOv5MknnyQhIcH8Q2uEgQYmOPV2r9vd5wADBw6k42kxvDTjXioqKzl85Chb0zP4dO484lslM3HcRei6zl/++SS9+g1kzJgx3HXHXxh3dg9uvug8HnxjLp+u3ojL5WLODSMZMnKoQUJkgiMgCE7XCQNwdXRL9bLikr0piwNb3VJ98y5xxnFC0REkRyhDZoSncMk847V8/td+2srbqdtp1SyGmS+/zsUXX9xYNdkBGpDg1Pt3enahuVXn60VfMWniNaxau4Gk05pTVlZGQcZWln+7mi2793FWv35MGDWEDz75jCeeeY65c97hf4uX8Mm8z1mxaAGL1/zEJx9+wIplS7nxuqt5+V/PEBgY6EFuAIPgAAbJERDqjiA+QXl7ObzU+2/EDlakofbv53fKqqq5YNX3NAsMpmdIBFdFJrDrSKXpcWZkx0rVEXBKfOpCcJy0Zfizs6gahODUvL8EeBFoBswF/qLrep2qgdl98eu6znPPPcdjjz1GYWEhYWFh9O/fn8sGd+GOiRdR7WpOzyFXE+Fy8e/X3qBPnz4AdO/enawDezn0kzsVsby8gpCiWtWkusUgU4KjS++1mA7o+Tu9wlKC4OTmlRMX61mAUBAdcKs6kYk1LN+E5BxKW0Fhdpah/gBk5pVztLSaeb/BB2sLmTp1KlOnTiUo6ITpuvGHoyEJTs37ernXfRGctLQ07r77bpYsWQJAy5YtGXxmDx6+Yiht+57L3K+Wcd09M5gxYwb33XcfwcHB/PTTT5x55pksfuZeBp/elerqao5u30bh1j0AtLtrKgDps2ube2ZvyqLrhAFs+WgNCT2SaDVmFFBLbsSX4ZaP1hgEB2pJjqzoCKID3gRHDYmJcwOUVVWxt6SEg2VlvLY/k3Zn9uOFF16gW7cTL5Pjj0RDEZya9/X6nW5FcKqrq3nu6ad45snHAQgPD6dv/7O5bPwVTL5qLLqu06ZrT7p07sTspx6nW1f3Azi+dXvatG3PstXu0Gl5eblRAFaoBIUBkR7em/m/1artKUlNjNeC7AhyA3gQHCsDsEoozIiDTJKyN/3OvpIS9m3P5euSfH4oPcyAwGj6BkbZEnqZ7PgiOVZz8zVPGb7MyFYk56QhOA0JX1/84K68umzZMoYPH86KFSu46aab6NO1FaMvGcnXq1MJDQnhg48/NW6au+++m5CSTJ685RyPcXSTbuWCyIjX4FZy9m9a40E+BGSCIyATHZnkCMhkB2qVG5XgyEjPLuOej3+nw9mX8c4779Rb6vDJhvomOA0FJ/c5wLJly0hJSSEnJ4fZs2ezZd0qqqqqeebh+xlz2/2sWrWa7t27A/D777/TuUM7Mj6ejSss1Mh48vySrf2ST+iRZISdWo0ZRXDbFA/yIxCX0s6S4IhxxH5y6EsmOxW708j8fJHHuL/MTTPGEmNX6jpLSvL4sqqA5WvX07NnT5+f0amKE+letyI4AgX5+fy4YR39zz6HVd+u5K6/3k6fM3py03XX8Prb79KlUyeef/oJ4zv9ljumkNw5hb/debftuILgJEUEk1VUYUpyZOVGoGLPZo8QlV2Wk0wm7GrbiDGEwfib/MN8UXGIlgFhjAyKQ9M0skorSQrz/gFb34rOsZCcRoJzDHD6xS/j22+/5c477+TAvr2MHTOa1958m3379tGiRQvA/Wt48ODBfPnsNfTv0cY4TiY4sg9GdC8XJuHs794wvDYqASnMzmJHundcUZCc2OgQ8gpqyY+q6ogx5NdW5ymp0PnLZ2UMHv93nnzySYefzqmFE+lL39/7/OjRo8yePZuHHnqIGX+/hUdefINp06bxxBNPGPuMHTuW6NJcnrm4P4E1JNiK4MjoM/1GADI/X2TsIwhQ1wkDDJ+OWZhK7AuepEWsF1+m6jzksWTylFpYytHQMj6ozOXX9D2NaeQWOJHudV8ER8Xypd9w3913Eh4aTJ/Te/HBJ5+SvWcHUVHuVO616zcwfuIkPpn3Jd1qCD54ZkuJ1HBwqzqFAZH8e12msU724wCmBAfM69WY3dN2UAlS1uYcUgvLKNWreK/8ACmBkZwTFENWaW3ISiU6KslpSIIDdSM5MuqL8DglOCftT/7zzjuPH374gWEjRhIU6mL//v0GuQFISUnh3Xff5YYnFpG+rzY9T4vpYGr8LcnJ4OjBdDfpkbabkQ7wVGziYkO8QlVWsCIzArLKAxAerHH3uUF8+p9/GenzjTh1EBkZyfTp05kzZw47cor44IMPePzxxz32ef/99yGpPY99uQrAQ1FRcWBrrrGAd1hJqDuyCdkK2ZuyPPYR42ZvyvIoJa/upxKl1MJS97WWhdIiOJSXLx9JRYV3kbZGnNw4f9hwlq9eQ9fuvYiMS2Dr7r0Q09zY3r/vWTw+6xkmXX8tBw/W3k/bc4oMT40gO1HVRwnK20tcjn2DSLm1QHCbbsYDXrReEEvL0Rd6tWlwQhhkJHWLp1dUKGFaIOcHxZFaeZQC3fM+l8kOeBqSwU2S7NLNszf97kGs5Pe+GniCfYNOJ802j7Wekb84aRUcp3juuedYPv8tFr5YU55BkJf8nYahWDb6Ria2I2zwIx4p4/L2wuwsD3VGQFZp8grKPVQcq5CVWXhKEJyjB9MNMpRfXM0/v65kY0YJr73zEZdffrlfn8HJjhPpV21D3ec5OTn06tKRjyePJanQrS62GjPKIyVcDTf1/8+zaIntjXo3sooDmB5jtU2GvJ+AHVk6sDXXIDn7gotYVX2E5OQEvly/icjIP6aexomCE+le91fB8QWhyDz56CNkZezihTffM00HT4oINohNZWxrFmRWepmNRXhKkBvxYJYf4kKxUFUJeV8zMiCHuFRFJXvT72RtziGnqoKn8/ZxoLqMscGJdAh0OfoM6hK2EqiLuuNPocC6dno3wymv4DjFtddeyw+bs1AfLCJUJZMXqM2cEkTo6MF0L1VFJSxmBMYXBHkpzM7yWMwQ4wrglbEhfHJ7Mn+7+Spefvll43pE76utW7eSnp7udZ2NODUQHx/PiEvGkFpc2/6heMc2wxOjIqFHElpie0oDXUSNGEdcSjsSeiR5EZPmXeKMRQ492ZGbA1tz+WVumk9SYzZGy4oInohIJiK/hAHtW3s0+CwvLyczM5PU1FRKSvwuzdKIExwiS2r8hKtYu+FHj22CwECt4bgytjWFAZEe2VNQG8YyewiLTtla75FUxrYmN74bhQGRbCsJpTAgksKASHLju1EZ29pQfFQSIP5GzAhFQo/TSOoWT/cep/F0s7b8M6Y1C6uyyQspoWfTEHpFhaLrOiV6FYeqy70UHlXRAecFBFV1p74hN+wMytvrsTQUTvnUm5iYGMrLy8nKOcxpzaLcWVMxHTz8NwIJA28Bagv+qeQHapUXsCY2Yr3414kfR34PtUqOTHoiirOZc20EU56ayrSpU+jSsilVus6mPYW0jguhuLyagMAghoy6jJEjR3LxxRd7NPxsxMmNVq1asfW3H7h6eB+vyqa/zE0zVJJR/VoY2VWhBzZRsTsNV8fOuDp29jApCz8OYJiSi3ds8yIucshJJi3itZmHRw1TCfSKcldlnlgVy6fFObRt1ZIEVxidWiWycstu4sJDiQwJ5vcjxfRqcxojrpnEmDFj6NWrV2Oa+UkOoeAkJZ3G3sx9lJaW4m6R5ZkhJZSZbSWhbM8p8NjeKT7CtC6LSnbkOi5qReSsogqIiES+g8M7dPFQc9S6TzJk4pMEtCmK54Hf0ng77yBtXBEcqSpjf2U5UVoQpXo1QWi0CQinY6CLDgHmSo9KcuxUHbMqyU7aPYjr89enY/fZHmsLh1M+RDV//nwef+g+1r19W20WUkwHite/ZhCYyMR2uDoONVQbeZvYLrB/0xqvc8ikR4UazhIERy4MKM9DVozkMJV6voLiKjLL49j1exHntS4lJiIQXdfZtO0A6zIqWL03gDU7ijm7SxzPvb+MHj16eI1zsuBEku0b8u+xY8sknr5sMIO7tDHWCdIiZ0Rd8t+pHi0bVJhlYsWltCNqxDijwrGZ+qIah8HtrzlU5laVmoUGcv3NfYxtgihZqUEACZ1j2V9Swu7iYpoGBdG7hrAXV1WxqfAwGwryWX24gKCQYG67dxpTp049qbMNT6R7vT5DVILcAHzw/rt8MfdDPv5ysWmIqnN4mUe6+PacIq+0cPmh66utgJyVJSMup1axsKt+bOaJM8vUKiivYHdxEVt35dA/tAnhAe7v9P1V5fxWXsTyokL2VpfSKzSC6yMTaR5kXSRQhT9Vko/FjOwrTKV+1mYEpzAgkoSoiD+sm/gJjZSUFLJzC7x+3Ym6NDKRsSM2AmbeGSty4wQyYYpMbOdxTvm1eo5oVyDRrgJ6RIP4FaNpGsmxgSTHBnLFGXC0LJilGYEMPvsM/v2fD7jiCs/WFI04udD9rLPJOVJsuk2En+JS2hHcNsVoomkVwhKQv+zsyI1TZG/Kos/0G8n8fJGhEAliJFQdVfFJdrlIdnn+cnUFBtIvNoZ+sTHcoevsKCrileefYfXq1bz//vuNyuVJBvnB2LlrNw7m5tvuL4hPp/gID19OxZbN0Kabz+7kMgSxUR/GataVrIzIGVdOCEPW5hySusVzRkg0p4XXGo01TaNlUCgtg0I5rSKCUr2Kn6uOcF/ubsYEJ9AxMMK2GrIvmPmErPpa+UJdyI0TwmOHU57gdOzYkdJKjcysAlqfFmOsF1lTQr1R697IBfpE+nhJToYt6TCDVRhLPlaoPHmrVxIbHWJUQ5Zr5Yj9YqNDvAiWGRErzM4iMlTj+oGx9G4Tzs1/vYFff/2Vxx57zOecG3FiYuDAgfySno5qQZe/sFwdO9c22qyBquYI1cesFs7S7Npfy8MS3L+KVWIio1dUmBEaA1i0bj8HrnmWoQ9fYnoNaohLrb0jt44QCpCmaXSKjOTZ9p15M2MLffv2ZfHixbRr51+WSyNODPTsdTp70tM5XFhIUlQUEOGh4rgfmrVhpc7hZeg/fsFhk+7aavVj8O5CnhQRbGRleaBNN6NujqzE/PrxJpK6OW+WKcJLTrw0YVogZwdF0yIglE/LD9JPL4fCGEuSU1+VkO3gJH3cKZHxt0nnyavVOkROTg7lJUdoFlNjNKtpeCmHf/Sa94CH2VeoPOq/KvIKyr0WcKs9dos4FtxFA7dkVJBXUM7Rg+nG/GRyI5/LilwJsiPOUZidRY+W4Xx1ZyvefOVZ3nnnHcrLvbPAGnHiY9u2bSRlbTHey+pMXEo72t01leC2KR6VhYPbphh9o4LbphgL1FYyTi0sZWl2kQe5ATyIC7iJzunjvds1CF+NCFWlFpYajTxFFWWwD1WJ9HMZqik6OCCA22KaM6xpEH/729/YuvXYmiY24vjEvsxMIiIjiYisDUMJpaZzeBlR1UdJighmUHI0ncPLKP7kefZ98ZXHGLLCIIey5PdJEcGm5EZOLReEycNXI5GK7E2/W6Zmi4yquqB1QDi3hLbku8oC0qqO8nNBqe+D/ERdM6vM1Juo6qMeC5iTGXm7E5zyBCc7O5uAgADmr9hUu66maWaHIVcZyowKoyZOA0FON8/NKyf7iGa6Xfbw5OaVG9WTZZIjCJF4LUMQqeT2nfjXTd3518NTmDVrVsNcVCP+VBTsSOV/qdspq3BL3ILMtLtrqqHcCEOxMEHKvaLE9vTZz5Kblu4zFHWorIrUwlK3KmNR8Ri8iZCAlQkztbDUOEbOthL/mhEd+fWk0zvh2r2Zgb1Pp6ioflOVG/HnIzc3h8qKSpYu+dpjfVJEsJG1Ix6U+sbFRpgovEMXD7VB9emYwYzcyCjZudU0a0rUq8nanGNah0ZWfFILy4xFhrzeLHuqiRbEyOB4Vlbm8WPVYa/tTtPHVdSlxk9doJKeuhiOT/kQVevWrYlLaE5IcKCh3ohWC81qfmzu37TGg0i07dTaqyu4DGEG9mUuzivYa5o1JbZDbbuHhCa15lN1TLFvXGyIB8lxozYDyyzrSw5fje57GslhBYx96SWmTZvW2N/qJMOA0Vex64WnCQoMMAgN1PaEEhWLhRdHtFYw6xkFtaZhobyYQVZlqCEgCT2SDDIim4wFhKIjzmlWU0feR4YIW9mRnKiwEO5q1ors7CP897//5dZbb7WcfyOOX5h5NADatmtHuCucEtyhJNlELNe1qdiz2Uu5Efs4ITfy/oLkCO+OGF+G3JZBEJJeUaGGSiMIkLqfKO6XFBZkSmTs0CuwCVQE8G1VDmcVNEXTNCNcJatDTsiOk4acqpnaLDzlj7/pWHHKP8Huuecezk2J4/JhpwPevagOpa3wSuM287QIyKRHkBzI8lJa5NeiynFUTWNwX94ds0KCZhDnMfPlyHOUM7U6JIbSunVrVq9ezZAhQxydpxHHPzZv3szjD09nyT3XEBgQ4NXlO332s0ZLhQNbczkd9xeaMBoLT47Zl1wzEwXGjPSkFpaSum4/o7AnR4IMiYrJKlTfjljnL0YkNOOzzz5rJDgnIKx+zeu6zr13TmH02MvoP2iwR8dwiICISKKqj3qQG1m98ZfcmM5h42Ks6mzLpEIQDUEuZNXGLDSlVjF2igTcz5eDejlJWt0Nx1aQQ1JOC/8JQuiL6BxryvgpS3CWL1/OvHnzWLLwU1I/us9IAT+UtoK2nVpTmJ3FobQV7N6+16sruGw2tlJx1Cwstf+UgDzuj2t3cmZ/7zYRMsRczDqVy8g+opHQRCc3r9xQiVTiJK5Bbew5btw45s2b10hwTgIUFhbyyiuv8P5rL/PgRefQ7ex+AGiJ7QkGXOBBbgR+mZtGc6PGjXlrh1qp2u2XkVWZZqGBXnMRZGbRuv2M6tfCa7sKtYeVU9iFw2Rlp19sLLN++IH8/HxiYmJoxPEPu4fc0iWL+d+XX7J921ZmPP+qQm48IZQGM3JjBaECqengMqyqF8t/O1mbc7jgbN/3v79qjRU0NFrpLrZUFZEUEEpqYdkxZVb5g4o9mx2ZjJ2gMCDSb5JzSnpw9u7dyxVXXEELbQ+LXppM08gwql21PU0iE9vRoscAg9wI+FuRODw+mcjEdl7KiehNFRcb4jFmXGyIl/fGrI+V8OR4hqJqxwDPkJbq1ZGhqlGF2VkMKvoP8+fPp7q62o+rbcTxiHvuuYfvF3zCA9dcwm03uMsAhPS/1NguF+ZTVRE1LGRlhhThHzsi0isqzIP02Pl3DpVVsTS7yMNnU58Qvp2CHQWcHhLCwoUL63X8RvgHu4eWus2KgGzbuoUpt91K945tmPPxp4SGWSt6Qj2IS2lH02HjjKrE8tiCxKhVjsEzo0ocIysRonqxmZqR0OM0el7Zg4Qep1lmKMnqTV1VGxVtcbFF+ixV746VmVlWlaw8cXb9qeoTdVFwTkmCk5qaSo82MTxw4zC6tE306D8VmdiO/ZvWsPKLJQaBUIkIYOvBEfBlQlYrGoN3+MnbU+Mfso9obMmo8BrbLo08QcsnoiqHf/3rX+Tl5dX53I34c1FZWcnaZYuZds0lTDi/v1HrqTTQhX5wl2ndGjPDr1VLBZXw+CIivaLCGJYQ4RFOUpUeOWQlTMpiXvKijltX9CoP5ak77mD9+vV1HqMRdYd4aKkPL2EqNSM0oiWCvG37xh8Y0L8fk6bcR5u2bY31KUlNPKoYC4R36ELTYeMMYuNLuVGJjlq9WEC0chCqhUxyzMK7ViRHEA+1e3hdkUgIRXo1y0vz2Vvq+TyRSY5KdOxq4DiBL/XGV5uGYzEYwykYosrPz2fc2DHcMu5sj/Wi/cKm1SttCYWqxogaOCoEuRHhH6t2DHWFUGhkEmYHoQZZ1coBz2t7bkIxs/49jR9++IHPPvvsmOfbiD8eU6ZMIffwUUJzDgLuL9eQ/pdS/v1HpH++yAgBCcJgRxTklgzql5xsApbJhxjPqlUDmHt11O0qoTlUVmUaAnMCoTaJefQPa8rvReUMHTCAnzZvplOnTnUatxH+w+qh5e/DLHPvXm6+/e/cec+9XpWLVYgmm05CUkkRwZZERoYIncgqjvzg9iA5eBb3c7c8Oe2YUsKdQENjCHFspJBDlBNS6v6bFARKNj37ghnJiUtpZ9qqQTVa/9Gm4wZVcDRNu0DTtB2aphVpmvaJpmlNNE0L0DTtA03TcjVNu6chz6/iwIEDTJ06lbjoCGbceoF7ZUwH9PTF7Jj3KCu/WMKWjAqPlGwr9QZqSUxJTobXIsOqnYJc70aFIC7ZRzSvFHGr/c3ITkITnYQmusc6JyblThGHuXVAOAe3rPS576mO4+0+r6qq4sMPP+SLuR8yedDpdEiMBWrIzdovyawhN0INEUTEKl1bhpmaozbglCHIjbyPOK9aN8cKh8qqPBaxToXT+cskK1QLoGtVU1q7XOTm1m8o7GREQ97rdfmlvjcjg8cenk7zFi24cvLfDd+NWMCtwAxKjialZAdQW6dGLuKnLgKi1o0Ms3VmMHuYh3foYpRgsC6DUD/eGxUtCacHTSnF/bdjpQ7JSo6T5ptOU8bry4vjDxqM4GiaFgN8CNwLtAQ04FFgOLAFaAUM0TTNv9KEdcQ111xDSpcOxFTsZtu8B0mIbWKQm50rPmRH+lHDmCsIgUwKBBmRwzmivoxcZ8YKTlUbmahkH9E4VKQZr1WYkR+n4SxRJ0eeu9zBvKJK552fdM4ccZ2j8U5VHG/3+ddff03btm15fuY/eXfaZKaM6I+rY2ejGrFIBZfJgEjVVtUSVXkxC0Flb8oy2imAW7URixm5ATyISl3QLDTQUHBk1clMgfIVNkstLKU6rIKc8HCSk+1Dzqc6jqd7vaqqiusmjGfYoHNo274D363fyL4SjbSsI2zMyGdjhrtVg9yGQSY2/lbEFaTGCbER6o2qXshwWkumvjw4AJVU8yuHiSPEUehLJjlWncatGnCaQe4mrsJpR3F//+8aMkR1KbBR1/XPATRNewr4H7AYd3OkINx/IH9It89ly5bx/dtT6No20b1CIjdC0RBhH5nYxEaHWKZXW0FujinDF8kxK+jXLEL3mJsMs3ViHLN16nXJkMmNrus8vLSaMFcEzz77rO2cG3F83eebN29mUJdWvHXfzYDbRCyqERcumWcoGGap1mZQQ0/N7XaWYEZu5Po3xwK5OadTyMqTfN3hrmqeOZrFV4u+pXlzp1d3yqLe73W7NGC7B5mmaXy7Yjkbfk0jMTGJrKIK0rLyDGIDbv+NqDRsFY5yEoLyB/KDWigW6kNd7SxuhfokN9XoLCWHhIBgLgo2TwZwEp4y6zRuhhKTthe+4CtU5S8phYYNUfUEfpbe/wYk4s4p7QrsBpbout7gpUS//fZbQgOradPtTGNdtas5WkwH8go8Qzu+vCx2ao1MbOxq5Qiooau42BAv0iIUJXU/eXEKp+rOkTKdb347TIeYSubc05fly5eTlpbWaDg2x3Fzn1dXV/PJm69wbs/aFgyujp3REtsDGO0PzCCrIiKE5ISMqO0Q1G0qmneJq7N/Rp2nPFcz87GA3XX8WHaExNBQVv7j7yxcuJD169eTkZFBRUX9PvhOEtTrvV6XB5bA14u+onVyG+LizAvU9U6OMYzBZr/61VCUDCcqjQxBzKxUCNl4rJqPZQVE1MMx6uOEBflUWsQ+vvYtoYr9lBIXEEJadRGB4ZXERUCHJkH0igr1IDdJ3eKNRYVd9ld9wImS408YU9P1hvlhqWnaG0CGruuPSesqgGRd1w84OP5WQFTg6nMsxbi2bt1KQmwksVFNoKoUAmul7NKc3ZSVu9OhgwJr1ZPAQO+QUFCw+8YPCA6lusI+ThoQ7L5hxH6V0hdmUHCwx3uBqiqdyirf/x/yPMX+lVXydizXBSnXZXadAGWVOnnFOpXVUFmtUx0QRllZGV27diUkJISAgACvDuzHK15//XV0XW+QyR5P93lBQQEH9mXSpfVp6GXu+y6waTTVweEEVJRwdM8+Kmp+FZZUeZcACA8M8FgfHuj9+yc4LIjgcPffQUVJBcHhwVSUVBjjBocFUVFa6bGfioqSCg4XlVNRj189wZrnnMV1VOjubWJ9cFgQh4tqiX54YACHKitAg0p0tPAwysvLadq0KW3btqWysvKEquh9It3rN0262WN7IJ73ZJXN7++tWzbTqmULmjZpQhUBVFTrFJTUfqeGBQfSJCSQQKpNx6modnbzBQco35c1c5THFOu0ynL08hL365BwyzHFPtVlbkJeWVJGZYnn86CixP33VFzz/V5h8ZwOVr6D5f3ENlfNd3ypXs2R6iqq0JsVaGsAACAASURBVKkO0KjSqymv1mkfEUGABgFomH2lB5n8HQeF+1Z7AkKtkxZsP58g3z/a33jrP47u84YkOM8A5bqu/6PmfQhQBrh0XS/xcyy9rvNMT0+nzxk9ObjkEYJFOwZAT19sWshPhG5EWEpWWeRO4r48N2b7ibHkkJdZ13BfSouYq1lIywyHijSvUJdVuMqqvURUQhKjX9jNkDNa8sbKPCoqKhgyZAijRo3ikksuOa7lfU3TGvJL/7i4z6urq7n66qvpHx/EbWOGGpWHo6+7F/3gLtJnP2uZ7WQF2UdjBTN1xMp7IyDmYdam4VhhlXYue3bUrDHZaN28SxxpTXTe2ZZB0/BQlm/bS+fOnRk1ahQXXXQRAwcOJCDg+K2ucSLd69mFnkKP0xDVptRfuO6qK0jf9BOaphmVh+f/5v7eSklqYnhvzOBvWEodR01fN+0k7gNqQUDZcCy3agApjdskZGWm2mSVVhrre0WFeigxqvpy8afLuOzMbry4+Ac0DQa0SuS85NM4v21z4lzeBKUuPaisQlVmpmOn2VShMYmO7vOG/GmyFXfMVqArsMPfP4Rjwe+//07Pnj35501D3OSmBtWu5mjgk9yor8HbV2MHq8aWMvGRCYWoduxP2ElAmJEFkVHXi39rURuWE8TK7PplhAUH8NriPbx1U3M6JYWy7vcM/vfGfdx/1+30HzSciRMnMmbMGFwul9/zP4Hxp9/nALfffjub1n3HrFlTATzaK5jBV+aUIDcqgbFL+TbGqukHBXikw0KtF6Z5lzijN1V9Eh2rcURqudn1yubkA1tzKU0MZM3OTC5MTGRx37PYcfQoP3z0IZNeeYWy2FiuvfZaJk6cSJcu/nkMTgI06L0u0q3tQle7du7gklEjePLh6Wia5iYW8e4Hpah3I8iNr7GcQu4eLuapQu5H5RRy/yaztPGkbvFkbc6hV5S7+rAgLb68OWbkRiU24nwRX6/njZU/8cU919A8pgnL0tJZ+P2vPLH6F85q0YyxXdow/qJzCA2uO1UwSx//o9CQCk4csAMYjTtWOwfYoOv6w3UYq06/bMvKyoiOjiZ33vWEJ9Z8uDEdqIjvS9D6mayf/65BcKyaXsoQ5MZKvTFTe8xUG3Ucq+aZVpAVHqHgeBMYe8iKjkzw7K59xaZDxOg5dEgMNUhaYXYWJRU6P2S5+GRDAT9nVnLzX/7G008/fdyEsBr4V+2ffp8D3HfffUQc2skD11zisV5kT6XPdpvFBcEQCgp4kx2rejhmhEdAJinNQgMZ1a+F0bQTvGtnyCqOfE6nqeN1gZn3x+xaozpE8V1uHiMSmqFpmsc8D1aXkRVcyjqKaNO9J2+99Rbdu3dvsDn7ixPpXlcVHCfIy8vlrJ7dyN6zg5CCfYZ5eFVGgZEWPrZ7kiMfjdxvyqxisRXMFB0Bu87iKgFSzceqouOPkuMxv7Agrz5XMsERf5PhHbrw1Q+/0K1tC9okNfOYx5HSMj5a+B3zt+xha/5h/nL+Wdx70TnH9J1uRnBkFcefWjh/uoKj63qupmnXA+8BzYC5wJMNdT4zhIaG0qZNGzZn5NOnJnmK/J0Q3xctprbnk1VGETgPS6kkxey9FXnwLrhnXjtHNkT7Ck0V+/ATZ5RrJMd4P0ztCNmQHs1w/1cqc8/O4vxWJZzfKpTS0Obc8sF7PNa0KdOnT7efxEmA4+E+B+jWrRsL317htb400EXA7to+Uwk9krxq2YgQja+KwE4zoA6VVRn7WknaRviqZj9BnoYlRBhkor7DV05q5/SKCiMiKIgLEhO81qcWlpIYEMqIyCimdo7lp5YRXHLJJaxbt46EBM/9T0b82fd6VPVRoqJDcYWHk5GZSccm5t+B23OKSIqI9lovKzFqM03xrz9ER8xJht1DWlV5rOrCyIqOmZJjBzVklbU5h6Ru8WRv+t2D5Ij+W6OtatPs3Motlw/lFmBvbiFXvvwJCW2SuW3McGOOMmFxkhVmVQiwIevjNKh7Ttf1BcCChjyHHXbs2MG2bdsoD7uAUX99jTtHd+SC4ecb22OjQxxnFqnkxlfHbyewIk2CUKjnEETM15ytyM3D35Xw8EC3ucsVYp1mfiwIK8vl+ctiGPr4TG688UaWL19OYWEhw4YNo0uXLseNqlOf+LPvc4CFCxcS1DSGj5evZd6qH/loxh2mn7WqnMgwU2jMKhP7gqyUCOVGJTpuKd6T2Ivzy4pSXUhOs9BAx8epHh3RydwXsrfl0U/T6B4dwnvvvUffvn1Zu3Yt3bt357zzziMiwr8H5YmCP/te/+nnX8jJzePw4SMMuWM6j834B9Hdz/FqqplVVGFZidjOg6MSHTPiI8b2F75CWMFtulGxZ7ORRm5GcsBNYmSfjYCaCSUgiI2s3PiCnMreOi6KlydexHVvfMGFZ5/B8p/SqKis5PywaNq3SETTNK8x7QiPSnQEyWmIisYNFqKqT9RVutd1neeff55pD9xPbNNwenZszqL/PgP5O8n+7g2jsaVdfRor1cUpwXHqbwFvf49ZCEuoOLKCYxaeslNwXCHuEJUanjKDrGCpsAqxrdpVzi0fHSU2MphBKfHExkaz9OcsqgJdjBgxguHDh9OzZ08qKiooKyujrKyMLl26NNiv4IaU7esTxxKi2r59OxMmTGDn9m3o1VUsnz2NPsNGAVC4ZJ6HB8aM4MgmW7u2C+o+AnJoSTb0yoZjs3CVqOoq5ibjvVX+eRrk8/tLjNTwlS8yJz6bj4IOsqekhB4tEzizbXO25hfx865MzjyrLyNGjGDIkCFEREQY93lYWBi9e/duMKJ/It3rdQlRRVYUMutfL/D408/RLD6O/uecyzUzXuD9de57pXdyjEeIypeh2K6tgwxV2RHjO0lZ9tebA7UmZDvzsQorvw2Ykxsr5cQsdPbp+jRu/c8C4qMiGdI7hbDoOJZ+v56Q4GCGndOX4ef2p2v7NpRXVFK8dztlFRWktGlJbNNIYwwZxxquchqiOqkJjsDmzZsZc8kopv1lLBMnTqR05Qw2rV4J1PpOrDKHBNTQjZ3fRsCu/5QZ0bEiOPIczAgO+PbgyOZjNZPKH4KnVnIW85JRXK6Tp8Vw5uldCaxJs9R1nX1l0Sz9KZNvfs1j255sQkOCCA0JIjgogK0Zudx5973cc8899W5SPpG+9I/lPi8rK2PmzJks/Oh9Vr/0T5oMusxozSBgp+A48eIIwnLAxiAskwWZOAmSY0dwRAgtoUcS7775U72Hqezgi+SYkcLMyjK6dm5G05oSEgk9koi5YAirf93G8h2/s3r9L1RUVhIaEkxIcDDZufm0bp7Ic//3Br179673aziR7vW6EBxwk4qfU3/lsmtv5L6Zsyho2cco8Hddv9YMSo429hMZVnbwl+TI6o2Z/8aX98YMavhKkAxBDMyIDtiTGRVOyI16foHDRSVkZufSNbk5AQEBBLfphq7rbN6RztLv17Fk9Tr27Dtg3OdBgYHsyMjk/snXc+ugHoSGOFO8nJKcP92Dc7ygqKiI6dOnc0b7WK6/bKhtiU0nDTHNiJDw18hEpz6aa5qRCSdQM6lk+ENufMEqxHZay9NwZWeRlfaDsS4qIYkY4MZz2nHjOU0Jjz8PwPBCpR+JZNrT79C58+s8/vjjXHvttcd1Ou7xiKVLl/L666/zzVNTiOx8OvrBXbaZVDJ5EBlGTnw4zbvEGSqOOoYdRFsHOTRlZj4W/wrfyx9JcuSQla/PQ8wtb2O2kaXVa2supwPnpbRj1LUj4dqRBLdNMY6prKzkrblfctGFoxhxwUgef/xxWrZs2dCXdVzDjIDYhYAKCgv558zHGTr8AlqcOZjl67wJhBNlxSmx8RdOFRv1AS6THDlcBe4mnSrMiIxd+Mkfr4s4vzgmDmga4Ul6NE0jpVN7Ujq15457HvDYFpS3ly07d3PfUy/y7/9+ymM3jGXsoDN9Kpf17ck5qQlOeno6Yy4cSp9OCbx8Zz80TUMrdtejkh/sVuEmQVzMatWYGZPFvmbkxkqxkQnC0YPpHhlWVllbbnLiqeLYkRqB+vTc+DJcq5lgeQV7jc/CLNzVrnUSH7/8AN//uJk7Z73IF198wZw5cwgPty4I1Qg3dF1n5vRpvPHmf5j7z1vpmtzCax+zJplWEMTC6gHvtJaOeqw47sDWXE4fn+IxL6uaOX8GybGD2TzkBqCphaWkvvkTo/plkdDD3TXaBQbJCQoKYvJV47jq4hHMmrOAPn36MHfuXAYNGvRHXsZxDyvSs23rFm64ajwXDDufSf94ioXbctmXWUjLVlH0To4x9pX9HCpZqmt7hlpC5F1jx98wlJU6oZIcFSU7t9Jy9IUe6+pCCOTzWClO6riC9ECtwmN17srY1nTs25r5885j+bermHrv/XydtofXHv8HwTUp53a9uuoLJ3WIatCgQYzs15YHJpyOpmlUtxhEwP5Vhv/GX8jkRg1fmZEbs32PBWLOcjaVHQQBMmv1oMJpmMqMdPlKc5dT8WVPT3h8skc2m0BZeSU3Pr6AjIOFfPnVUuLjzcuxO8WJJNvX5T7/6quvuPvOKSx+9Hai8g4C7gJ/IjwlF/gTyotKGpqFBnoQEjlMdfr4FK8u3GIfq/CUICZ2Cojs5bEqKCiH0xqS5Ih5mxUGBPyag/gsm3eJo+uEAbg6dvZQcWR88906rrt7Bi++8n9MmDDhmK/jRLrXswuL/CIbuq4zYfg53HjzZKbcOIFtJaFM/98W9mUWAnDpwDaM7Z5E5/AyD4Ij162Rz2en4KimZQGzWjsCViTHjEA4MdM6DW35O0Zdzy0TEtUoHNymm8e44jMXn09RURHXTZxIWXkFc19+iqZNIr3GFOM4mavTENVJGwP46aefyMjI4N5bx3nJYoKIyIsTxEZ71ssRPadkAmBGFGQCUJidZSx28OUJcgK5j5W/vausPhe7XlzyMaIrukzERAdzXwgNCWLOjNGc27sDA/r1YetW3ymIpzJmz57Ng5Ov5bQ4t/fA1bGzx3ZBEuT+Ur2iwmxDSnLauBm5EbAaQxACuz5RVmPKSo+YS0PjUFmV8ZlYXZM/BEsQNjUEp2L4wH4see8l7p16D7NmzaKysv4aLJ4I8Ccbad13qwC4/qZJHqTlUGbtfZQUEWw8nMW//vQuAmtyY7ZNnofoVi7D7AHtNFNIHs/stUoorAoQOj2fPIbVcSU7t3r4gsT7ij2bTUmRGC8iIoJPPv6Y9q1bct6EW9mzzx1JacgUcTiJQ1QVFRUEBARQXe3dc8cMVqEnAV/ZT/54ZATMjMryervaOTJRcdrawQxm1ysTG/drT1KiztUJQVS7mQvo+TtNVZyAuE48dX8n2rZKZOA5/enZqzfDhw+nadOmdOnShaFDh/o856mC8vJyAqITCW6bgmrPtqp5A95tC1QDMdQ+qFWFRd7HSdaSVfdyOyOzXWHBhoCq0sg+HH/IjXpNxTu2eYSpVPTs0pE1yxZz7aTJvPDCC1x55ZUkJyfTtGlTxo4dS0xMjOlxJwtkkmOn6FRUlFOFhq7rll6OrKIKiO9mtE8QaokwHFuljjuFUHDEuZIigr3aNtR3qrM8npkqJUNUg/YX8niy+iLOp5IXX8TdbA5hhw/wysz7eeaD/3Hm6Ovp27Mrg/v3oUmEi65RwZzTo5Pf8/aFk1bB6d+/Px06dOCdhT8Z/acA47Wqxgj4elgL1UYN1chKjhjbrq+VCpnU+II6bzN1Rl4nz0ddnIwvI6+gnN3b97J7e91SeAWOHkynJCfDfKP0/zX56lHs+/5t/nJZX/L2/Eja2q+4+Yar+de//nVM5z+Z8NBDD/HoU8+a/vpP6JFE8y5xhiIjZzWBp1IjYEZqDmzN9SI+8nF2ygd4+3UOlVUZnhV5fHlR52k2vnzeY+lSbjamOkenx1qhQiq4qKJFUAkrFy9g2YJ5xDYJZ3fqWr748F0GDBhAXl6eX/M/kWGn6AwcMoygoGD+t+BLY13v5BiatYqjZasoUpKasD2niFUZBWwrCSU3vpsX2ZDJTaf4CL8L+6lQyZKVkuLvPmb7y4u/MFN9/D0+uE03ry7oguhYqTiCZIr1mqZx999uJz3tZ6665lqyi6v5bfsuJj72f7z91bd1mpsdTmoPzhtvvMF/33+HZXNfIqD4ABXxfQks3kfpyhke++3ftMZn1pNaD8afdg1WsCIzojaPbHC2atAp9reCnSLlJNXdan5ibDPvkZWipLaEEJ9leHyysY+XmmOi7mxL38fgq/7J7wcPOaonciL5Eupyn1dUVNCyZUu+/HgOZ7WKco+V2B794C4Kl8wD1DTT2v9jtV2CqtSItG0zr4w41kyF8UUKfGVfmdXlMRtXbZhpdl4z9cUpGTKyo6LCHLWRkP034Fn/R4QOrZQcLbG98Vo/uAuAcbfdx9hrbuT66693NN8T6V63SxO3Uln+88oLbE/9iXf++yEAqzIKeH/dXnonxxjqiggjpSQ1YVBytKEm+EoZF54cuxCV7MERMCNldVFRxBz9gXw9VunrdT232RhBeXu9GoUKiOrIvmBGsn5c9j9uuvsfpL79lKNU8cY0ceDpp5/mwguGUhnegiAgsHgfVa6WuPpO9tivQ3wyO1d86CjUImc3mUE88P015trBu5WDPRlxmvotj6OmujuZoxy+Eue0+ww9iY/7OLvPUs/fiQZeJKdzu5ZEhAeTlpZ2XPUB+rPw7rvvUlVVRXyrdmiJ0egHd6Ef3IWW2J6oEeMAcHWsVQ+yN71tvG7eJY7UdfuB2iq+ajfwhB5JRnq4Ckv1B0/yVFfI51WrHNvNQ4aVgdgJZPO1aCNhF65y0oG9YneaJckREAR15Hlns3TpUscE52SBWdgqITyQ9/79IrfcdrsRpuoUH2FkTwliImrigJuIRIV7jquSHNVsnJLUxJbkHKvqczzCjFiZrYuKbY34n5FJjlNyY4WzenbjUP5h9h3KoyW1qeLHWt34pA1RAbz99tt898MGho0aw/4j7gdwYPE+KuL7UhHfl2pXc6BWNbAK2zgpyudrf1/HyBBzsPPgyOexCzeJ/WTyYled2Rmpsd/mbzf0kpwMI1yl5+90dMzQc3qxdOlSv85zsuKKK67gpptuol+/frz54TxjvSA5Zc17ENL/UoLbplC8Y5tXSnZdTbyiHo4ZrLwzIuwjYFZczy41HTzJjVOiY7ZeXed0H1/hOCewC1cJggowbEBfli5dyomgtDcUkiKCSYoIJiAggFffepvPP/uUqy4fS35N6E72xcjkxhfssqhSkpp4jOsv6qOLuROIz6YurSPAep5ZRRUei7y/Gq7yB1ZkRW/WlvPPPZtVewu8tqlhLn9wUhOcgQMHsmHDBoaNGMm5Qy8iNW074CY5gcX7AKh2Nad4xzKPDCCZAMihKbHIIRUrqF4d8K9YnxOY9arylcVlR5jE9duFzqzWOQlRgTf5kbOyZJJjmI9NQlQAw885gyVLllie51RC06ZNefrpp/n222+ZNWsW0175r6W5PjctnV/mppn6aYT6YFaTRlV1oNY3I4iOWZVjGU6MulbZVnbZWFbrVajERG4yKhuv7bqpi33k8cQyLCHCg/CJz0qEB4t3bDMW8CQ5cnhKRrvWLXC5XPz2228+r+9UwODzh7Li+7V07tKVEUMHs/LHX41tgtyItHE7OG2yKYiOWORqxnI7CJUIAH55Zuz2MxvbClHVRy3DU04Jgq9zqSTHF9FR/T9WfqLzR4zkm+/WNhb68wcBAQHMmDGDLl26cOFVf2PX+i8IC6ttShZQU/hPDZ+oPapkM7F4EIvsKTsSEx6fTElOhldbA1/tIXypN+BNOOxUHDGemvFl7edx5vMRn1tsdIjXPlZKjtk85TkJAmkVogI4f0BPbrz/JaqqqggMrB9z6YmOlJQU1q5dy4UXXsjrMeH85Wp3eCqsqhhwP1CzN2XVkgHJVyM/mNVqw+BJbNSO5ILkyOvlUE59mX/l8VTvjYBd7R2zmjZif5WcWalIakNQGWbkxqpsvgqh2Jhh6NChLF++nB49ejga60SHla9EIKdM57YHZ1Id24LHb7+Ov7zxFQHKd8C+zEIjdGVVB0f26oCb5Miqjtl7qzmp48uhMDXTyh/I8/XV5NPOd2NFbkR2WV0hF/8zg6rYiHPJn43AkPPO5dEnnnI8lhOc1AqOjCuvvJLTz+jNR4t+pMpVWxpdhKkEcvPKPVQJtW6NSmBUo6zst1EzhdR6OCrMlKP6gmzqVedgVvPGqk6QWt9GZGnJsKu3Y1XZ2R91DCA3/wixsbGN5EZBfHw8Tz/9NC/NmQcJnv/fwvdhV2FYvPZV+VhkZ8lj+DpGVTycEh8r34udamMVOnNasM8s/CZInKxYqepVQo8kn+RGrlNkF6oSyMnJoVmzZj73Oxmhqgny++GXX0uT6Fi2rzfPvtmYkc/2nCJLBUQOQ8lKjpxdZabsqATMLERk1cXcSu2pD9Q1w0qoPoIgydcirk2dt1BxwE1ynKguKrlR1+fm5tEsNsZxPSEnOOkVHBn3338/1113HYP7tKVN6+Zu9SZ/J66OQ4mLXWnUarEOsbhVEJnkCNJQkpNhqDWySuLLlGwHXxlbZqqJE5OwPD+5MJ8/3hmn6oyTnlxm2VSgZFQJb07NulXrf2ssb2+B8847j+jYOB6d9SwPPXCvsV5LbE/XCQM48PACb7OuFLISJEdVauT3sqIjVBA7340vMmOVAeXrGHkO8jo168tpPR0zUiMgm679hUxqzAzGwlSsQtd1Vq1axQsvvOD3OU8kqKTBiiAICEIydtIdvDnrYVp07kHv5GZszMinZaso9mUWsi+zkPfZy3X9RMuG6Hqdr9OaOk7JjJlypZ7Dl4oDnoqVIC1qM08VZvWC7OB0XDuo51i9Zi3nnHuu8b4+6gmdMgoOwJAhQ7jnnnu46raHPE17MR3oce5g46Ht60FvRVgs67qYwI6YyFDDSXaZU75UH5l02Z1TwKwaMXh+PjJpMSM3ZjWBzDLMRNsGeTEgG4/zd0L+TlZvSGskOBbQNI358+fzn/c/ZMWq1R7bokaM4/TxKV4P8rpmO6n1cKzgJPPIzv+iQvbkqKZj+b2sSpkV8pOh1vqR4S+pkVPD5fRwq+wpqxDVlp27adq0Ka1atfLr/Ccq5Ae7E/Nsv6GjGDr6cj5/9kHLfdKyjniFl1RlxklmlGpKPlYVxu54uzBdXZQgubqz2eIUansK8PTY2JESVSFS5/7dmh84r2dHx3NxgnojOJqmrdY0rb/0/gJN03ZomlakadonmqY1qVkfoGnaB5qm5Wqadk99nd8ppkyZwpGiEr5ZX0Mcah6krr6TiY0O8Xqgmz3gZZipK0cPpnuEtsR7f2BGoswIia8MKvU4db7iWKfqjT+tHkS4z8y/IxuwrXpSWaG6uppV63/jXInt/5E4Ee71pKQkHnnkER5/7iXPuSe2p9WYUUBt6EcuaCeTA9WLI6s54rVqAE4tLGVpdpFlU0onoSEzOCnmJ8b2RZLkQn4CdgqP/BnEpbQzFgHRJV3eB3BEbHzh2/U/nxL3udMwj4BMSC67dQrZe3ZwYHutEbtlTT0oGeqDWQ1HHSvMQju+4IuoWG3bnlNkLP4QrYo9m43FH4jrcdJ7y5/xBCorK/lh3QbOHn5xncc0wzETnJqb/lVgoLQuBvgQuBdoCWjAozWbhwNbgFbAEE3T/ph8uhoEBAQwbdo0nn3hVSNVXCwdhlxl7Jd9RPPo1i1DJQm+sqPMyI0IL4nFbB+zca1q4KihKbP+V1awqmzsq3+VVSVoX+niMrGxIzdWKeOzPk7ltFbt6dLF/zTFY8GJdq9fffXV7Nixg+9+3kxpYG0Th+C2KST0SHKklshEpr7bJvSKCmNUvxbG+PK/ZlAbYKqv7SATNydECzz9NDJy09J9lqo3K+qnJbY3FjsIX86Bg4d4/NX3ueGGG3zOtT5xPN7nanhKVlOCg0MYMP4mVn/0OoBhLhYkZ2NGPvN/yzIK/cnkQB1LfV/XOdZF3bFTiGQyoO5n5zOqC6wyscyUGzPYqTmq30esmz7zCc7q05ukxIRjnL0n6kPBGYjbyyNf/aXARl3XP9d1PR94ChCtcjUgsOYYDfjDCzxcddVV7Nq1i/UbfvIwHGvtRtoqFGamYyvIhMPfpp4q6urh8TWWPxWRBeSsKRVmXcTlfcVncvRguuG3MSM3Ik1cvJbxxcpNvPzeQj755BNHVYzrGSfUvR4SEsK9997Ls88+67FeS2xPXEo7mneJ81BERMNJGSqxMSMg8jG+KhSLDChBbJzALIXb7PWwhNpf4rLx1yr8pnZQF1Cv0Uy1keEkfCU8NnKNG3CTGbGI9wBHjhYx/o4HuOOOOxgyZIjP8esZf+h9bvVANVNArMhHn5GXsyt1A0d+38OX3+3x2r4xI59VGd41VuRxVaIjICs9/pAflXA4UXXqSq7MYPaZOjEEm5mVfVVGdpoSL4fFxP/7nI8+4bN583j/qQdsj60Ljpng6Lo+Xdf1mwH5W6En8LP0/jcgsYbZLwG6AruBJbqu19//qEMEBwe7v/hffA3AIDkV8X3p/aR3LNzKeKyGoeRUcvAkOerxUQlJlsqJON6K2NipN3aQw2X+hszkUJ2caWa1n9pFXIUo7ifIjLxY4fMVm5j8xDy+WLiYli1bWu7XUDgR7/VJkyaxdu1atmzZ4rE++rp76TphgEfhOjNPCpj7WlRYKSnDEiI86sTI+8k9r9RsJCuPjS/IJuP6qKQMnm0urJQbOXNK7eYO5h4bNYNKvD9cVMKoG6fQs+8Apk2bVud51xV/1H0uHnDqA89pm4G0rCPGEhLuou3540n97D8cysz1qIUjXsvVie0qFQuYkY1jCWeZqSzqOczGV43GdlleTlUcleTUxdBrFaJymskVlLeXD978N9MfnsnCt54nLqb+TODGOep9RDeaAobjVtf1Mk3TKoGmuq4fBa70MG3S5wAAIABJREFUNYCmabcCtzbQ/Ljpppt47LHH+HVTGme0jzJITokewahJt/Du829yqEgjoUntjxGrmi+x0SGWhCEqIYm8gr3G8TKZsap5YxcCMzuPk5o56vFWNXSssqkEyZO3ybWCnKpTdplhZiniQuH5bFkqd8z6nEVLltG7d29H5/qDcEz3ekPf5y6XiylTpvDcrCeY89Zrnts6dgYWGO991ZOR18kF/sR7GbI6YtXOQcCsz5UZrGrW2O3vBE7Gy01LN1Sc3LR0r5R4VcWRQ1MykbHy4oj1Ob9tYPTDr3LG2efy8ssvExBw3OSB1Pt3ulljRvGgVeuziIe8mYoiCvyFdhpO/uIbCe14IYcy4VBmLs1auf9vRVZVSlIT3l9Xe161f5UM0bwT/Cc2TsiRmWJkdj4r0iJ/FttzimznKHcFlzOfrIiNr1pE8rFqjy+r/dX/77c//ZIZs1/jm/f/jw5nDcK7VfCxw+dfj6ZpD2qaVmmyvGVzWAEQLo0RgptMOa6jrev667qun6nr+plOj/EH4eHhTJs2jYdmPmGQm+AdH9A0dwVau5EkNNFpFuEmN7HRnl4Uudmkk75P6vFOUrnNQmH+qi5OQmOCtMm+GTtjtazQqPvYmbGtIBMdNQtNkJu53/zCX5/+nMXfLG9QcvNn3OsNfZ8D/O1vf2PZt9+xYfMuLy/O6eO9a+MI87Gceu0rrCSyoIRaY+eNkcNeTnw9Tj0zYu5mqo8aOhNqVWphqVf3ckF4ZPOw04J9KpzUuRH7FRw+wsUP/R9nDhzMK6+80mDk5nj5TjfzacgPQSs1x+xBvi+zkKDwJjTpOoLsVW+Qn55Kfnqqsf1QZi6HMnM9yI0vyKTHH2+O2X5pWUeOyd9jdg4zL44VhEomPm/1s5dDTIKs+JqrHJKSs9/U85rhzY8/ryE3r9ClfRvb86jz86fWj8+/IF3Xn9B1PchkmWRz2FZA7oLYFdih63qJ45n9AZg8eTJbtu3kuzVrCc5Zz455j5K94H4ABo8eQdfkYA/Fwiz0Ivd5slJR5HCUFXyZhsU6q35SMiES+8nnsyrcJ65PJi3CYG1FWMT27COaY+VG+JfkUJ58zcJwrGJXZg63z5rH10tXcsYZZzg6V11xst7rTZo04cEHH+SR6f8wqhpDbUbVqH4tvArbqeEqucideG/mzVFTva1UGXkcM8hjqO0VzMiIL4isKZUsyUTOCtmbstjy0Rqv9XbGaytio3ptZPz14Wfoffa5vPjiiw3qLzve7nM1zfhYsnOadL+QqvwMqo5mA25iI+PnNemOWjkIqMqO/NB34hESITQz2GVwWZmgfUE2HMtkwFcKt4AaChNQSYVctM/O4CyfU7z+ZfM2pj/3b5bN+Ted27UBfPebksOX/nRKb6gQ1efAM5qmnYs7VvsE8EEDnavOCA0NZebMmfzjoUdZ+c1CWvQYQHh8MtWu5oQNfoQezGD/pjVebRs8Hvzb93rVoFF7P6nkxV8lRhyjkhurdg/yuUXbCRVmoSWrrDEBMy+Sr75T3tuzvOYtCI9McIR688CrK7h76gP06tXLdm5/Ik6Ie33y5MnMnj2bpT9sZNjZtSpYSP9L6TMdMj9fRPamLDdhkLwrZqEqleSoRfas9lPX+3ovaoyLc4jxzfava4aXL7VJhghTWc1b7CPgAqPvlLGuY2fTkNW6X37j2x83sW3bp3+Ged4J6v0+tzKyqg9is3YC4uEryIMo7pfYriVFvcdxeMcqXD0uB7xJjvpeVDRWiYhYl5Z1xKOdw7HA7Hh/VR15f3nOclXmTvERtaQjwv3ZOWnLoPp9BIkzIxUiIw1qr8tXIUJd17nnoSd4aMotdGx77IX8fKFBNFBd13OB64H3gEwgG3iyIc51rLj66qspKiljwVeLCRv8CFq7kUZ/qrDBj9CixwBjX1EnR4Yw3FplV9WFzKhQVRe5hoyZaiTOKf6VzcxOw2qAoeKoISnZlwTWtYLkdXJ4z+ozEcZjYT5etWoVGzbv46677nI03z8DJ8q9Lsj8jBkzvDpTV58zweeDG7zbN6h9m47V0Htgay6L1u23VIZUz49KmuzUHKsQl6ig7HTuViZjtRYOeJMbM1TsTkPXdaY+8QKPPfYYkZF/aCUBx/gj7nN/Qg/yQ15OC2/ZKoo2Q8dD+REqCzKNMFWzVnGGH0fGxox8g8RszMg3/DyCLNh1FTdTLVQCIzfqrG/YGaVl5Udur+AEarjJiWLilKQtXL6a7KMl3HLlGK9tTlUmf1BvCo6u622U9wuQHYzHKQIDA5k1axZ/++sdjFw2hwiA/J0E5O/kcIdbaNpxKG1r2i0cPZgO6e4sHzm0syWjggSpN5MdzAzKYB2SAgyTsgzZu2Kn5Mh+Iav51MIdnjpU5P4F2SxCJ/uI5kVo3H6i2vcquZGVoIQmuoeSI38+dsbog/nF3DBrKbNfeYfw8HDL/f4MnKj3+tVXX81zzz3HB598yjVXjjfWh1UVE3bdvXTlGcD9EO8lqSb+tDvwpebIkENNhknXJiXdzoxs1yQztbDUq7CfOl87mKWBi7YVajuLuuCxl9+iOsTFxIkTj2mc+safcZ8XBkRaPlCdtEYQZKdg+E1kfPM2gb0n1pCcXpwxwNNHZZZpJWrnCKJSn2nbVuqNlcHZ7jinkNUcu89PVV2ctGrIItRjnWx0NlPn9m9ax+3Tn+KdZx6GhHYNYipWcUr1orLCqFGj6HPmWTzy4oc8df+NBMipyjEdSBh4C3r+To4eTDce0H3HXg/AorfeICNfIgVH3DeQIAUq4REVfr2RRYseA7wypqISkmjbqTWF2Vns3r6Xtp1a+8yqEut3pB/1mIOZb8cOh4o0w2htdi3gzFjsax85HT48PpmSskrG3vM510++m3HjxvkcvxHOEBgYyOuvv86ll17KiPOH0KxZvMf2qBHjjPBJ801ZNKf24e7RhRxvIiGUEF99p2SyYEaYnISbRAaXPIYVsZLn5qS5p3y94r3InLK7FrP3KszSxz9avpa3P1/C2rVrGxvH1sDs4Sj3SDJ7SAtiI15ndh/M7+v+R3nmBkJb9wPcJEaEsuyQktTEqNqblOyZumxHEMQ2f+vlCAj1qHdyjBEWsyI3ZuE0eb1MkLxCVjYw3SfCnHS6SZCzay0sPMzFE2/j7stGMPScvn6TG9kg7ddxfh9xkuLFF1+kZ4/uXD52NH1buv0fkSXb3N3GXc0JABIGdiBB1PaM6YCevtj90N9bSXE5uEIwiI5MeFQVQ6gkbvJQq7CoqdNyGrlQYlR1R4VQc9QO4G07Wd8cqkdHJjUyUbNqpGnm3VFVH3WOVtiWmU+/v37GZeOvYsaMGZb7NaJu6Nu3L9dccw13PfAPr7RxLbE9wUBU2xT6qJV4Zz8L6/Yb+wp1R1VA5GJ7YP7QF4RBVmKswl9WkLdbqTBWZEmoUuo2MR85XOc0e0q+TtWrY4WbZr3Bkl92sGLFCpKS/G/geTLCzP8hEx7Z9wHmD/a0rCOMPrctca6ZLJ95A5FnXAq4vTcijKVCrBNEaVVGAZ3iI0iKUEI0EdZhHn9JjtX2jRn5xjycEiUndX3s4Iv8qMpaUN5eomJbQ0Qk23Psx/5l40ZGXziCWyeM4c67p3iMKUMlUXZlBJxCU+PxxyM0TdP/iHm+9tprfPThHJZ+/AIB+1eh5+80zK7VLQYZ3pyK+L7GMYHF+9B++w/r57/Lqs1uoiPgkvhAswjdeOinZQV4rTcjEOAZflLDTWpoSiVEcljIjODIREhkTwnIBEUoN2YERz1OHCvWmYW31LCcrOD8Y85mwlLG89RTT3nNt67QNA1d149L56aMP+o+LyoqolOnTsz77zv0PdM77V4uSie3FShf+6VhRlaVEwGrDCordcMuvOOrPo5ayE8Op9VlPzFPlZzYtWVQu60LmBEcoeAU79jG4bgkTp/8CJmZmfXquzmR7vXsQu+Ht9mDViYO/j7wP3r1BX7fsomm/W8D3F6cSwe2MdQSgd7JMZY+GbVRJ3g/jM38Lb5Ig2oWluckCI7ZnJyQGX9DXGrlZhVWfagqY1t7pJabhbbu/+stdGjXjgcmjjbWyTV0ZIjCj1YQx4XGJDq6zxsVHAklJSU0jYqjytWSgJgO7prjEskRxObQkVAiI4MI14qocrWk5KxZdD1rFv1yV5C94H6++mYXh4o0D7JziNoHfrMI3VB4ZKjZWlYQ+9kV+LPr8q2GpsxCSFbVm+U5iP2yj3j+IfvKxrK7zqW/FfDOjMttj2/EscHlcpGbm0usReVQQWpEzRyRWh7S/1La97+U9kDB+8+4U6ctlBY7w6/c38qOvMjjqAQpLqUdCWnpMNc73VoNM4nMMCdzE7AzE5vNR52bCpncACz7KY2hQ4cet6biPwLyA9POAKuSG7MwjID8cE7LOkKCS6M4PpZ4yWC8MSPfCFepGJQcbZxv/m9ZxjhCVZGzqTqHl3ldi1qcUMzfLLTmhHjIGVxmxEZWe9TjoLZYoV06urq/vM2tYtk32YyqPkpUeK3KI38GUdVH+Xrpcqb9dzxOcaylAmQ0EhwJ48aNY+bMR8nJzSWxJiwlHtUBxQc4Gu7+koqMhNkXxvPgotrCdMMTJzHiprE89NQKrk+Zyc4VH/J9apFBdIrLAekek8NAYF5B2C6UUxtW8k67FtvNWkCYVRAWZMasarMTdE0OdrS/nQFbzCswQCM42HcX3kbUHZqmMWHCBN6d+wX/+IdnbRwVVtuir7uXPh2/pOuObUZlXzX7yVcIKrWwFExIjllYSRh6RXhLEBD1WFWB8SA5fkCMIa5NEBorYmOm/AjI3htXx84U79hGYGDAKX+fy2EP2WMD3s01fcHsAZ6S1ITsQaP48b4b6H7FFILCXOzLLOTnNe57R6SLy9lV4oEOMLZ7Ettzinjy002A28OzsVWUQSiSkqOJy3F35bYLnTjtP2WWqu4LZuTGKXx9rupnKpOOij2bCW7TzSNsFJezmcrY1l7qViA6wcFBXmPJ+8r3Qn2RG2gkOB5o3bo1V155BX/5+wO898YLNHHV5NHXmI7DtSLSD2h8NMn9H/rEqGQeemQSQTkZrF2YjNYuAnLWc/isWXRsN5KoBffz49qdHiEpX+qGGXxlSUUleL6XX8sk52hNNphAYXaWFwlySmzkbDB/KxjbqVSu0CCKi60fuI2oH/zzn/+kf//+DBkyhAEDBngRmdJAF2FVxegHdxmKjtpPKaT/pQS33QXMM9Z5hIMchIYEyQHzujkqUZLbJPgy+ZoRHXkfq3YLgjw58dHIWVRW3pviHdu8DMau0JDG+1yBkzotYK7cgPkDO6FNR9r26sf+BS/Taqy73ER+eiqlhYcIi2pW8x4OtevFvsy4mrFrQ1Lbc3BkTPYHVsRCre2jwkrJUcNtAlbkx6wYoT+o2LPZ+FeQHAHVJxOUtxdXeBjFJfbZinap6Mei6Bw3jU6OFzz33HM0aRLJeSPGsDO7Jq00pgPk7yQ4Zz0dozONfR9clMG7z7/JptUr3WGs/J2Qv5OjRys5HDeEZilDiIsNISWp2lBsDhVpZOTXT4hc1J/ZvX2vZUsGs3Wijo5cgdmMdMjtJUQxw9rUdfN2DXWB3KQ0NKCy8Yv/D0CHDh2YM2cOV199Na+++qpRG0d0uzZTbgTR0RLbe7yWH96C0Bwqq2JptvcXuVn1X3GMXWVgMK81YxcqcnXsbPSPSuiRZElu1G1q53C7VHCxXiY5vuDq2JnwRoLjAX9L8AvYVQMWuOTOmZQcKST15TspP5JLTLteBrmxw6qMAt5ft9crhVzObpJ7PB0rZCVHQJxLvkZ5uxW5ETAjL/6knftSnwTZkaFWJQ4L0Dm8y3s/p1AJlD9oJDgKXC4Xc+bM4cYbb+CcwSN56q0llJfXyqUBxQeY/tn3TP/se4Jz1pPQRGfxL5XsmPeo11hau5HGaxH+Eb4cObUcPAvhCciFA81ISPYRjbSsAFZtrmRLRoUt2SjMziIysZ1HSwRBdATZsVJzrBQXu5CTaOXgD44eTCc8JJCSkuOmy8FJjZEjR7JmzRree+89Bl80js1bt3mYisHTZKwqOMKjE9L/Uku1Q26PYGdIFjDrMJ7QI8kgPyoB8uWJEeRLJS1WkPeRiZuvFHB5LmYo3rHN8N8U79hGwKGsxvvcBvKDVTzgzRYZqv9GPNzDIiKZMONl2vcZyLY3bkf//Tui23Qnpp13dXRfaoaqihQGRJIb381vlcGuhQPUFgiUr8nsms1Umt7JMbYmZTGW0/Wy8bdiz2ZKdm6lZOdWy7mrCA8NoaS8nIo9m00JkYz6DE9BI8ExhaZp3Hnnnaxbv57VG3dy+ugHWLnN/WVU7Wpeu2P+Ts7s7zYgRyUkuZWemA60aO5m+hXxfel3kzfxESgur00nl9UQuwaZctdvM5hVHhZjHT2YblQKNuv7BOakRU5RV0NlQuXxVeBQHc+qonFZZXVjPZA/EO3bt2fDhg2MHz+e80ZeygMPzaQ40v+U5agRdatXJPeu8ij4h6eyYua1MUP2pizDo5P5+SIyP19kup8YW1VnZAWmeMc2n6TIbB7yGGIuqrJTVlnVeJ9jby72pR443QcgICCAwdfezi2z/0vggR85vOIxkpNK6HTe+XQ673zDh/Pld3uY/1uWZQE+cJOT+b9lsSqjwFi2lYQanhK7vknquFZER5AZs+vrFB/x/+2deXxU1d3/3yf7BiF7WBNC2LfiRrVu4FZb6/q4tLa1rcWtWqVq1dq6VB836tJWa63i059UbbXWvVrXqpSCGyqiQEIgECAJCSGQPSHn98fMmZy5c++dyTKZhfN+veYFc9dz75y588l39RMuStBYhY01YNjuOPq2+vbFmclMTe/0iZtQxAng207ftqu7h0Rv49jk0hlBj+F03IFg0sSDIKXk2Wef5YrLf8oRXzuUm2+4jgnjx5HYVkPCtndpq3iTlroqCmYuQOSU0zv2SF93ckXS+7/mlaUPA54U8TYbbVKSI22LA+aOSvErAKingNulZ9uhUrP1oGVlzQFPiwS74+tjcYubsRYvdEsR11Fj0uOCJl38Jh9+toFx4/zv4WCIpdTZSH4fd+zYwVVXXcV7773H7bffzqmnnkpCQoJrELKOrNtI1b2/4RMts0l3WUFf40xVQ0cXN9PP8bRF0cVA3syygEaX1iwpO5xStvX4Gqd4HjdRo/a37udmSVLrpp9zmM8q9LtnXqM6MY/777/f8VwDIZbmul2aeCjY1coJFpSsZwlJKXny8Sd47ZEl5M06jGknLyItOy/AFWWHEhB6UT7FabOK/TKrFHpjSjfhZJfa7VTY0O0arceyoltprL2knDKmdIHRXrmO9PJpjsfX1+/b10vByRdS/fTvGJGRTnLpDNsUcbf0cBXro+jJnWDSxIcKIQSnn346xx9/PLfddhvzDz+WM884lWuuupwJY48kI6ecjKZK6pc/zIcrPSLmuIe2+h+j7Osc9NW3ATgI+HBlJR9s8Tee7WztK/5XrxUH3LW7i+y6qoBaOPp+0NdWAeyFjmc/5yKB1gwrO2GjBzsHa/QJBLR50DPFVJCyHiBdt7uTrp5exo4d63pcQ3gYPXo0jz/+OG+99RY///nPufPOO7n5uqs55aQTQ2oAqbqT+1X+fXqtn2tKCR19mRI31kBcO8uHwq4WjwpiDuaucsLOPaX3k3KLrwlF6OjnX1O1lcPPWOA6HsPAsCuyp//gCyH4znfP5ZSTT+LBu+/k3ZvPZd4Jp7PwzB+zYU/fc9maSm7nDlJCp2ZrMx9XN3HLN6czs73Ct94uu8ot7VuNX8dqxalt7fZrJaGOYye6FE6p9fq5QhE3gE+8KDeVLnbUMiVyNm6voygn2yduBoJ1v/64sYzACZGsrCxuu+02Fi9ezJIlSzjosIV8+6zTufpnP2WCdz4p0XKcd5/EthqPNaepkoKZfQ+zbxy+iLxHf8Wrn/QVrPbF5nTpPyQeQWAVN7q1xJpuDoEWFCUsrFlV7Q3VAfuqDuQKfR9d0DgJLruxOFmWckel+Flvvti6hzlTxkVrN+X9hoULF/LBBx/w4osvcuONN3LrXb/hF7+8gRNPPJH0Xo+rVs+u0lGZVRmTtfo0XpGj94IK1tLBSUwo4aCytayWIcAvrTtvZpkvNduKW1xOsEaZocTk6Ntaz/P5phoumTMn5GPEK07ZM9a/7vXlobil7KwU1uXkZ/KnB35L3Y5rePT+e3nwgm9yzOnfoXP2t9i5W7BzayM7tzb6igM6pXHrGVbPfl5L8fwZ5DV43DTJQLa3GJ46vzWYeCi6lVuDjdUx3eJ8rPfRLk17oK4hxZqqrcwuG++3LNSKxFZLz0DSyI2LaoDU1dVx11138X+PPsq/XnqGg8a0Uf/iNWQVlZFxyIW+7XozxviqIgO+ooHklFPvTSOv3xuYWZWR4hEv00v8J6Fd7I3uqtIDl/XqyUBARpQSF+n5JT6xY3VVKexcVG5p4rqwCeaaUq6y+/7+CZuS5vH73/8+4HiDIZbM9tE2z3t7e3n++ee58cYbmTt3Ln/605/65bICaH7tH3z51xU+UWIXc2MVIk6uIEX9mloee7fvQVeQmhiQhm49to5VwARrrxBKdpQT1vPv29dL/mmXUV9fP+SF/mJprnc21fV7v4FUDLbiJJC21dRw+1138dKzz1D2/XvY05rq60aeUzaXexYfDQRWHdY5oCSH02YVU5yZ7FcjR3dTWbG6iUIdr+7ycqqC7NSzSo/vcWqR0B+3lNpGJ718Grc++y4ANy++yG+dfk/s3FPBKh0nTjrYuKjCSVFREXfffTcAt9y+hAd/fzfFZy/ztHNoqvSLzZHAzrUeF1XBzD6Rk3/2Mk6c+Sg7177Npg1b+LK620+gWC0fToHFemsEHadj6e4qq8gAAooBWjugq2VuWMWN0/Z6HNBn7eXMnz8wM6YhPCQkJHDaaadx6KGHMm3aNN765/N844TjXPdR1h1l4VFFAbef+xufxeUrZ850zFjSxYRTTMv2dY22HcKtWVaFs4t9x8vQ+mtleNfbWWrs6uA4Ndx0w0kwVdTUUlBQsF9XMR4oodbK6c/xwPNDOnbcOM668tdU1DZR/c4yMmZ/G4CO5p3sWP0Gt//dY8kBj4hwEjkewZIJ+TNc67sogllt7GKOrKjxWN1TusixsxI5ja8/lhu7jKr08mkkl87g03VLOeekE2z3czr3QJpqOmGyqAbJDTfcQFn5VL5y8JHc+38vI6WkfvnD/Pv51/jn6xupfPtJdq5925eBtHPt2z5rDoCc9SMKD1/EIaedxzeOm+RzOal/rRlROnr2kpMbaGervYvIKlhETjkip5z0/BJf2rjTtqG0k+jv9u9vS+K1117jlFNOCbqtYfgpLi7mySef5GfX/pJvnH42m6vtzcTWVHJF8sSZHHPTt3zNOD95eq0veDiU2Bg7sTA3O41jCzM5tjDTzyrkRPLEmb7moer/TsJqoNgFPuvnkFJyyX3/jwsuuGDQ5zJ4KM5M9r36i51YOu7HVzMiZyS1z/+c5J4+EfPZC39j6ZMf+W1bs7XZ91IoAVHb2u2r7xOK0NHZ0NDqe+nUtnb7CR6VUTWzeESAuNGFjTX2xhpvo9ch6smdQHLpDL+Xst7oy+xIL5/m2/bFN9/lsy8rOP6I+QHbDSQdvL/3EIwFZ9BkZ2dz3333cdFFF3HE4YdzysJHGVNUxuSyWiaDXwYUeCwm7Q3VZJTha96JV1xkNVQzvWQLVPdNYKdO3XrTyj4LS+hF91QvKz0GBjxCJx1/K441OBj8RY/uggql8J9dkPPz/9nEFVdcwZgxY2z2MEQDJ554Ises/YIrLr2Y2+++j4d+d0+/9s+YPJVjbsLnrgLP/6efg2ucjN3/IXgzTt36YyeiujcF9rFyc1U5WXF0N5ruFrOjfvce1m1v5L3rrrNdbxgcTllHbljdR5nZOXzle9cy8egzeOe2RSROOwORlArAjtVvsBSYd5jn81XtHtT/a7Z65mKfoLC4gjKz+j0+t15SEFj/RxEsrsdO3CkxZq1GrKNq/iSXzqB78xekl0+zdWH949W3uO6SH5I7KjtgX3VcO2uNvnwgokZn0BYcIcR5QojNQogWIcQ7Qoip3uUnCCEqhBCtQoinhBAjvMsThBBPCCEahRBXDvb80cK0adOYM2cm62rayJh8DOULvs3k03/lc8FkFxYzdvZhfa4gb9VjH/r/Q0TVk1GBwHm5Ka6p4uARKLrLSQkZ2VTpe6l4HCVmQkkVV+uD1cSxiht1rk2N+5g8ebLr8SONmeuQkpLC6Wd9m4pKe0uNG7rF5NPmDl5ZtQ0IzXKiZ1Qp8aAXAtTFjFqu01ax3k/Q2Ikb3VKUMXlqgHXHLfA51KDjTTt2Uj5+NAkJ0Ws8j6Z5riwL6sd4qNxTyhJi1wBTWUOyx08mvWACsnOP3zY7Vr/BW395ltUrqtix+g2/l7LyLFu1hbW1e/0sMEm7tpDd2+JqaVKWKL2on51A0RuQ2ll69OtRx7Xb3w2rRUe/DoVabhefs2nrdiaXurub9IrHoSzvL4P6lgkhJgMPABcDBcCrwF+FEDnAk8DVwDg8PStVxbvjgC+B8cACIUTcOKKnTZ/lefB7Y2zqlz9Me0M1BTMX+FlK0vNLfGIiQOhYcBIs4O++UoJFWXxU2rm+v1uHcYVeE0dVN1YvtcytCajuTutP8b+qmkbKyoJXmo0UZq73MWXKFDZUbvRVMtbRY2+sy60ot1L9mlq/fk1W64e1cJ7O9nWNfPL0Wr/aO8FQ4kavLjz+1BN96+2sPWpMSgSFUhVZR52ravtOJo6PXitltM9zu+J5VuwERH/dV0rkpOaNhc7APlQqLseOHavfYPWKKl5YvrlffZ70Mar/9zeryq3+zUBceKHg5Laq2rSZ8cI/IWGwomW4WzUsBN6WUr4ipWwHfgPMBU4GPpZSPie2dQpwAAAgAElEQVSlbALuAM7x7iOARDzuMQFEV9rIIJg8eTKVG6v8qx3TZ6VIzy9h59q3fQHHvowqjdxRKUwvSfYTJnYiRxX601siBHMPBUvp1tPG7aoWA2zasIVNG7b4xmoVQAPhk8qdbNvVwaRJgT+CUYSZ617GjRtH0+5meprr+7WfEjmFs4tt2zS4BfxaURaTT5s7AnpZWQONdTFiZ7lR51ZWGyVGrONxEzV2fbL0Y4Mn/uaZdz7gK19b6HicKGDY5nko/aecKgIHEzp2YiFYnI5VVMwsHkFhaRmJ9Dju44TKvoK+WBzd7WIdh5MoG0hskV2bBztrlXrvVHk5lIDuntwJvhf0WXT+s2YDnb2S0oMO69fYrccF/95WoVZUVgw2Buc54F/a+wOBNmAOsFpb/jlQ5FX2rwE/BDYBv5ZS2trWhBAXADEViVdQUMD777ezL2McyTnlZBVV+zWShL7066yiajIsAic9v4Sxs4E1fZVblWhRIkcXNKowoI7KqNKXWy0pTm4i8LisdGGjttXTxq1Cyknc2GVfWWlq6eJ/bniLP/xhabRnlYRlrsfiPE9ISCAvL49dTbtJyi7sd9o4EJDOrQsZO6Gguor3p/4MhNYRXMeapu50LDe3mtM5f//G+9Tvbmbx4sX9GtMwM+zPdGudk/7g9iMcTMzUtnY7bqPEwaSSMWyr3EJgfWJ3Opp3+r2vbe2GTP9gY7tzWwN/reMNlVAsP9bzW2sP6W7B7NwJiNwJflLPyZpSu2s337/jYf685KYhbUcykJo8gxI4UkpfIQMhxBnAH4Fr8Sj+am27TiFEDzBSStkCnB3Csf8E/Ml77Jj4yzcrK4vWVntfqDX1Wr1Pzy9B5JT7xb6oYnvBxAH4i5y83BQad3WFVH/GOp7BYq1s7BS3o1dC3rNjIxcsa+Rb5/yYc845h2gmXHM9Fuc5QGZmJq2t/Rc2bRXrAzp5u7VcsEMXF04NO1VxPbcMLafAZifx4haA7NSTSm2/fMMW/vDmB3yw5gtSU1MdxxRpIvlMH6jQcRI5wSwQbq4sJSYmFueyKhVEdkGAaAmGJwC5tF/76Ogp7HZY2z64uafccAo2tntvVzNHDxTu7u7h+0v+zPlnncKJR3/Ns8wrTNwqGeviJbl0hmuxwf5URA4qcIQQvwB+bbPq/0kpzxdC5ANL8Sj986WULwghlgDp2jFSvOdy7+0e42RmZtLS4j8BdHeOW2sDa6E9J3RLjhI21mJ+KuvJKi704npWkeN2XjVuZZGxihfdIhRqQHJzfS3PrE+hqaWbJUuWuG47XJi5HjpZWVk0tvcw0WG9U6VjK1Zxoyw16l+FXaaUXbNMtRz8Y2mCVSbWt7FmS9llT/XHMtTa2cWFj/2Tx353OxMmDF2Nj4ES7fN8IELHaVs7i0gorhcldCYW5lI0IoH0oxay4Z23fOv7K3asYwhlG32cqqgf9FVDtsb36BWR3Qjm8lLiLlTXmM91BNz+l+dJS03lV5f9GPAXJ9aeUlbUOjtLTSiFBm3HFmwDKeVtwG1264QQmcByYAUwzavkAdbh8dkqpgMVXp9u3OL5q9Zrwckpp6XuYdu4GF3sqKwqFZ9j3Q7sY2vsKhTr763NNRUtdVV+IkctU1hFmPX9xCkTXIWatXeV03GyC4tZ8VojP7v1IVJSBh6/M5SYuR46mZmZ9LTssl2nLDZ2Iidj8lQKZ1c5uqHUv18501OvxmrtseKW0q1w6iflJlKs60IRNE4WoS+3NzB6dDEnnHdZ0GMMB9Eyz53cMeHCGl8SynnTMzJIkd2enlRHLfRLC3cKMrZjMDV6dHEDofWfCpZaDvb3X3eD2bnwdPGlUr6VIGmvXMdbH3/BL6+8tN9ZgrrwUenn6piDYbAxOOcCO6SUP7Isfw5YIoQ4Ao+v9jbgiUGeK+ppbW0lPd3zR05vxhivgPA21tzSw8ETeplcZvOFyin3y6QK1sRSxy5TydoKQW+/kF1Y3C/3lNX1pI5hN0aroHJyhamxbWjuYcaMmKlcbOa6RmtrK+lp6bbrnCw3omgSOAT5Aj7LDQQXNjrjTz3R0UKz9blXHPcLRezYbeMkZJyCkrdOO5oZO2LG+xiReT7Yeif9RdV7cbLwKFL3dZKSlmbbwBKODSpyPq5u8lpVMv3EgjWeRq2zCi6ruNGtNk6VlEMh1Fgfq8jxrcv03itvbI5yKa2r3sbkVE+kji5S+mt90UUO+KehD2eQ8RzgKK8vVmcScB7wGJ5Uw6eB2wd5rqinsrKSspK+Tth6+wPwNONcW9vGqYdZ0mubKn3VjqEv20mvQ6NbcVSfp1DdQUpoOMXfWIWQfn47QaMHHKtzW49rtRLp7E0eww1/2cSePXuivvaNhpnrXqSUVFZWMn7KTNL2tdGRmBFyoHEwV5EucoKhBISeYh7sXGqfxrVVfgX69HgZu1YNCnUeJXKcxA5Ab6/kn9ubueWJW7j22mtDuqYoYL+Z59YKw3Yia1PVRkaPLwX8rSR65eJQ0YWDtQGoXTsGt6Bi1ZbB2p4hVDeVU3Vlu3O6LaslleLMZHa3CG65/ymy0tMYnTcqQIRYRU4o7RiGIql9sEHGlwKXOqyuBl4czPFjjcrKSiaV9UUliLKvc9BX3+aDLX0//G1dHgEx+4ijPdvklNNW8aYvVkfH2v27D+cYGx09g8tOaKh1VuzO6WS1CQU/F1jSaA695h1+dOHlfP7na6PGPRUMM9f7aGxsRAjBmOw0Xy0cN5GjLDpdK1/wCQu3KsRfOXOmn/gIxT2kxIZqxQBAxXq/+Bm9oafdMZXIse5jF3SsixqnWJ/rXn2fjzfXsnTpUhYujOrUcB/DOc8H0sJgqAj1vJuqqpg75wBOm1XMhoZWv95OO7c2MnqesxWnYHyereXHWpTP2mzTrvigvo+y3Nj1nuoPbu65YIUD1TZT8jP57ydrOe+UE7hk0Q/5+MarEI1bfIJGuZhUbypwFjcBjTVzJ5BMYJDycFpwDBob1q3l3HPO9L3vzRhD4eGL4Cn/suxfVncz+4i+gn8KvSUCBBbmU1YTO3GjUBYXN6xFB/U0cbt9rSnu1vGAf2yPTmdaMe/V1LGpuobUkfn8d+MWzv7uj6MmsNjQfyorKykvKw0o9Ocmcpx6VCmUG8qunoydlcRqZbFacKz1boJlVFmPoyoXW4v6qXFYj9Xb28vnm2r4eGM93T37QEqeem81FRUVFBQUuFz5/o01NTna2FpVwRlnne21qlhjWsqo2dpMU5VzhpW1Ho2TcFDr7OJm1D7WoGK7xpp29Cf+J5R09N27dvHxqhU0NuzkU2D5W6/zg/N/zI2/uMrjqhrRF3ZgdU3pXcQV1mBqH5lZPpGjM6RZVIbQqdq0mbKJpf4Lc8q5+rJjWfL7PpX/jeMm+dLDVddxHWugrp3lRFl33AJ5rZ3CdSGjL7dub+dq0pfpPbCs2wF8tjOVv1WO45133qGy8t/Mnz+fsrKTEEIwamoCP//5zwOuxxA7bNy4kfIyp/wpZ3SRYq2Do6NnRtWvqSVvprsryI7kiTNBy4oK1tBTiZm2ivU+K5NT7I+yFDV98RH/98q7vFvTyvLlyykoKGD+/Pm+OLwlS5YYcdMPwmXRcep5FApVmzczu6QI0AsGjvIXIt4Mq2CZVW7iJtg2urhRrindgqOLG6f2DKFgjflR7KlYzb9eeI6PVq1g29YtTJ17EOVlpQCUjh/H+RdeBPj3qbISzHJjV4iwllSKvV3ZB1IF2QicIaK3t5eqTdWBAgd/IfGdozMomLnAJ262rVnhapnRRYtuNQkmbnTaG6pJzy/xEzpOogfs3VZZRWU019faWo6yispIzy+hum4Pdz75MS98tIvLLruMP/zhDxx44IEx44YyhEZlZSVlE/svcJzqyygxoSwlTgHGSqS4CZ3uTWt9bqrs40/3vdfbMyisrih9uXWZOn/yxJl0dHbywqtvcdVdD3LooYdy7rnn8tBDDzF69Oggd8AQjHBYdAYqbtra2mho3MW4sWNItI4lM4vTZvXNzZ1lc33Vizuad5KWHT5haxdc7BR709/GntDnEpNSkt5Szx/vvZOPV67g7B8s4pSzv0Ni8SQSk5J82wIUZSbji0rK94ibUD8/p9ikPjJ91pz+YgTOEFFTU8Oo7JGMGNH3BU1o2w7eAn4lOZ4siuzCYnaufZuCmbBtzQoqqjyTINS+TYNpiaCwWm6s78Fe+Iyd7Sm7rcf2bGkfyeKnNvHWp1+yZ88ezj77bL5YdgujRo0a9DgN0cn69ev5+oIj/Ja5BRnLuo00v/YPAF/8jbLg6AJGD/y14pTqDf4Bv+AvcvxicgiMl9EDi50ED0DmwpN56KX3eO72v7Bq1Srmzp3Lo48+yjHHHON43QZ3gqVqu1l01F/z/RUv/bHmVG7cRNnEUttqvNm9LWSno4mcMmrGe+b0zq2NFIzP86SWh4hdzyolWNz6WelWHCVy+kSCR3y4WY6s8T0Am9ev5eXHl7Lug//Q09PDN08/i3+8/V8yvJlT1pR1/Vw6KgA5GMot5jROz/JMX+ZWf4h5gbNr1y7OPfdcVq5cyTe+8Q3+/Oc/k5ycTFdXF5dccgmPPPLIsIxj3bp1TJ3iab2Q2FbjWdhUSf3yhwGPW0rRXF9Lgfe5qzKiwF+86PEtoYga5cpSVh1rnI0TylWmI12afypLkMwu47dPvstt/+9fLF68mGdvOplZs2YhhAg6VsPAiKa5ftFFF/ktU/E3TnE4dm4fOxeQXeE+J8uNW/CxstjoAke35Kjjugkntc3G3kx+ePYFjMgvZvHixRx55JGMHDnS8dyG/mEVMZt3d3Hxoh/x0QcfcMzxx/PYA/f45vlPr7qGP/7uXp8rZCDup1D3WV9RwdTJfc9Gq4ukJ3cCxZnJfpacmq3NzDvMMy+/N3+CnyvLTkxAYOq3LlhCQbfoOAUer63d67ed3Tb7enp49tH7+efjSznlhz/h8sU/Y2L5FN8z3Tp2fXzOFZX9hY+d4AnVyjQQa9Rgm21GnHvvvZf58+dTW1tLWloay5YtA+Chhx5i0aJFwzaO9evXM1n7MiS0bafiH7fw4FNV/PP1jWQVlVF4+CKyisr8XEtK3Eyc4v+F64+lRmVJ6eLG6pKys8iAf8NP2VRJW8WbjtsqMVSbdQgLf/Io/1jVwMqVK7n++uuZPXu2ETdhJhrmem9vL+vXr2fKlCl+y5WoUSJHR4kKJWhUBWIreuaUvsza+FIP/LWmbTu5r6yWHLdtFRmTp/LIf77kqHMu5AcX/oTXX3+dk046yYibMPPnB+7hsAPn8nlFFWmpaTzy1AsAPPznx/jR97/r205vyBgqoW7fnJDFZxu3UjJ5esD++nmze1uYmt7JzOIRvtTxmq3NHFCS4xcLE2p38GBZUaHUvlHxOWtr97Js1Raf+NCPrY6j1tVv28r13z+FLz5axV1/e5VTfnARPTnjqGhsY0NDq6u40c+pzqvWq33V/nrTT2sDUKd7Y10eSiyTIuYtOFIGFtBqbW1l7dq1XHbZ8FUOXbdunZ/al1Wv8sS/PQ/96ibBtjUrmDz5GDK8L2XZsS3850XF3Nili1uznXQrjZvFRscnbryFBkVOOek4ByOLnHJaU8fxrR/+ihO+eRq33HLLkDZTM7gTDXN927ZtjBw5kuxsf/O7k+VG1m30uYKcGliq5U59qZzcRk7p2VZ3FeDnsrLrKK4fW+37+MebuPfRJ1n5wYfR3uk+rlDzXLfstLa28sWX6/nJBT8eljFk97ZQuWE9C449zrdMF0e6W83zIx2847hyxVizqvTU86FCBSLXbG2mZmuzrbtMWXs+rKjhkcu/zbyvn8HXzjyfOgR13vGEUlNHF11K5B1QkhMQF6RniblZY5zuhVOLCjdi3oLzs5/9jJUrV1JcXExHRwff+973uP/++7n0UqdSDuHhyy/WMHVKX9E6q0jYtbuL+uUP+4SNsriolzVIWAkbO3Rxo6w1gJ/VJmR0kZNT7hE5NmJJ5JSzb+REzr3qfuYc8FX+93//14ibYSYa5vq6detsrTfKcmO13kBgSrUuYoJ1Ebc7lnq5baNQwkcXNckTZ9oeQ1/2zqfruO6u+3npX68bcTPMXP6Ti1j14UdMmDqb3o4WzjznOzz48KNcsshaXNkd5cIaKJsq1jOvfLzvfXNClu+lqG3t5lcvf8ntf1/jExG6mCjOTA7aQRw8QsJOTKjl6nVASU6AlUctG0hNnA831vPILy4he9p8Muafweotu32WGMBnjdGtMqFg3V8RqvVFF026Nai/xLwFJzc3l1dffdX3fvfu3Wzbto2cnBwWLFjAli1bWLJkCaeffnpYx7F58xYmlvYJg6f+8jog+PpXPLc4d1QK/3x9IztbBVcf3iccWuqqbMWNE07ixoqyzqTbLNNjbHozxvj+n9C23flYOeU8tOxlmlp7efqhh4w7KgJEw1zftGkTk0rG27qiFFZLjp6yDX2WGr32jR1qvV2tG2WRsbPGKNxcUMqSYw1QBujq7uG7tz7IX595jmnT+t/gzzA4cnNyeOnvf/W9391cz7YdOxg1ahTHf+s0ttRs445f38ip3/pmWMexudr/ma5wsj7UbG3m5MNLAXfLh16p2BqXE8yaYz2u0/u1tXt9oscae6O/r/jX4ySmpDLzzKH5IymUwOpQigi60Z+u6TEvcKzce++9XHHFFVx99dUsWrSIY489lqOOOoqFCxeGLbNHSkldfT2jiz31EhLatlPd5BEAr37Sw8VnKfO3e7EzJ5xSs6HPUqRbWlzHagkgTmjbTm/GmD5xk1OOADJ0yw4eIfTORxu54IILTNp3lBCJuV5bW+ub5wrlnnITPU6EYrUZCKHUzLG6q5RoWvP5OooKC2Om+nC887s/PMRlF1/AdTfczI++/10WHn0kx550GkcfeTijsoP/oA4kELmzs5OW1lZyc+ytInY/0k4/7sEaeuoix61DuHWdWu4UvKyws/gokdO4YTVlx5yFSBhaa7z1nHZp7G5CTt+/P4LGSlwJnLq6Otra2igrK+OTTz5h6dKlpKenM2fOHCoqKjj44IPDct6WlhaEEGRlZXoyqCwiQmU3/eDmO/wERsbkY3w9ovRtQwkw1lO1oa+2jX584XU5BSNh27uu65WVp6K6lrKy4GXzDeEnUnO9traW6ZPc3aB28Th6hWBwzqCyYq0irLdjsGZEqW2s4sZXfdhhvFZXVWV1DaXjxjhsbRhO6urraWtrp6y0lE8/X8tDv7+X9PR0Zs+cTuXGKg46YF6YzruTooKCkLpif2/+BJjf94NtrV4cCsFEitt+dvtbLUG6SFDWHYB3Grdx8NzpFEywF3JW6481G0tnMG0j1LicXHXqOvt7j+JK4Nxzzz0sXrwYgFmzZvHkk09y/PHH8+GH4Q0SrK2tpaiw0Pe+reJNLj6rjIKZC3it9RLGtl/j50qS3oDetoo3A45lDR7W3VfBWjDocT9WsaMIEDwuKeEKZd05dN40li9fzmGHHRZ0H0N4ieRcX3DYwT5LjV1gsVqm2jN0b1rrExm6YGlcWxVU1KjtrMvsXFPBrDZO/aMUza/9g4zJU/nqvFlc+ut76O3tDekHzhA+fvvAQ/z0kgsBmDl9Gn975lmOXXA0H63+1Lao6lBRV19PUVGh4/qhDgoOhWCWjCNL+qy2ejCzVRTox5l1wMFUf/4RBROCPzOswcT9qfPjFF/Un/voyUYb1a908bgRONXV1SQnJzNmjOcvrzvuuIMzzzyTa665hrvvvpvc3Nywnbuuro5i7cug2jLc+LtFrLzxQEZ9JYn5P7rFT3DoLRrcREwwUaOjW3WURScgI8r7rx6P42rlUWPOKWdEai9dXc7xQYbhIeJzvdD5we8mbvSA4ryZZYw/9cQAUeKUGaXjFHdjJ4ScsMbdqHO1VawntWgsXR3tIR3HMDjcKhdXb9lKcnISY0Z7noG33ng93/nBIq6/6VbuvPUmR/eRQtXKscPJbaWW19XvpKjQvxqx6pmkBIP6wVeWC70GTagF7hTqR9vN8qKwWodUIHNSQ0XfWLVrK/YKHzthUJw3iuyMxH65jxQqY8pJ6FiPadeTS3e/BRNwta3dfin3oRA3AqekpIRbb73V976srIyPPvpoWM798vPPMGf2LMA/UFdZaF79pIdDbCwlwbpzW1smWHtWOS1XjS/bG6pDcmVZUeuswueTDdu59JvnuY7ZEH4iNdfr6ur48ssvKZ0+x7fM6o4K1lTTSrAeUWDfS8ra9NJODNkJGKeeVvryNZtqmD213Fhvwkyw2JSSCeO5+Zd9jYrLSktZ+e/Xwz0sknZt4Y1/vsC88vG2FZPd3DTg/0Ouizan61XCQ7mZ3ISBQv+RV32a/Lpsa//PK51BT+4EstM9Y9CFzrq1a7jqjLNtU9ftCKUOD9gLMzf3UjBh51Yx2Y24ETiRorm5mYcffYzlb79CYlsNbe8/xMVnlXHc5RO58XfHcPVl/nVpfKKhoTogPdxqrVFCxUnYqG2cltv1lIJAV5ZOgPDxjrejs4uPPl3PvHnh8Xkbop97772XM888k/z8fN8yvXqxnbixZlANFKvFxQ43643a1208Kr5n1QOPMu/gQwY+WMOAUAIg3F3F3Sw7PbkT2LnuY/764mt88drTAevtrCDWH+cNDa0UZwYG+etds52wxtJYG2f67k1vp28bdS3JpTN8Iqe9cp1vfXLpDJ9lSh//3j3NbKrYwJQZ/kUwddeWU+xOMIK1l1A4HU+PZxoMRuAMkgceeIATjlvI5KIkEtq2+9xTn1bdiax6lYzJxwSIBtlU6RMWwaw4buImGKHs295Q7ZdKrhA55T73lZSSO5a+xiHz5zNu3LgBj8cQuzQ1NfHwww/z0XtvBsTduPWh0lOxFW5CxGqZccKuhk0ouKWVJ0+cyaat2/nDX/7Oq68HxscZhoehbLjplD3lllV19+Mvcu4pJ1KYH+jqtXOPWCsFK4EQ6thVAUCFXcCxcs+o/ly6ZUkXbErkjDy2r1RET+6EAMuNlJIH776Do477Olkj7Ctzh2LVsbrp3LCz/rhZhIIVCwwFI3AGycsvv8wNV3jKh8uqvholN3/vTG64+Xy/bZX1xqkVAvS5kgYibEKxBtm9t3YXVy4skVNOR2cXF97wKJ+u38pzzz3X7zEZ4oPly5czb948SiaM91vuZr2xYlct2Ird8lDFSyi0Vaz3xQKpmB11/NeXr+L7V97I9TfcxNy5c4fsnAZ39B/e/sRXDJRgaeOvvP4Gj935S9t12b0tXDx/PO8Wj2DZKo+o+Li6ya/vlC8mxnIeN+uNNR5Ht6Lo1X/Vdtbx6yJHHPB1v7rKVnHT2rKXX15+MfV1tdy39C+OY9IJluXl1ANLx1qDR8Xw2DFufLbvmFbX1X7VqiHS5Ofn09LS6uk99faTXHxWGa9nLOW0Ef8LaEG83nYIynqjRI7eJFMXIE6uqWAuK4XeeNMOq/tKF13q/xk55Vz/m2XsaoMVK1aQmdk//6chfsjPz2fv3r4HjV77JhjJE2eSQejWGcVghY2qcxNKdlX9iDzOvfJOnnnmWY466qhBndcQvbhVNlbrCkZmsre1b17biaEp+Zm+H3SVFj413eM2UsG+ynJiRYkNuyDj/mB3LWqsdudVYunOX13LyIw07nzmZVJSUwO2s4rMgYxNYa3hYxU5TqgsrVCEkxtG4AyS0aNHs6OuAVDtFbYw6dvFZKQf4y9uXLCKG1Xd2CpQ1DZ2IsfO1WW16FgDjoPx0fv/5fEXV/D5558bcbOfM3r0aHbs2GG7TrfeiKJJfu/1JpdDaYkJBSdxo/e/alxbRe6MiSx+4m2uvPJKI24igJPVJpyxOG5WnOKCPHbUNzjum93bAplZvi7iusUmGFaxYJvZpLmsrO6Y2tZuyPS4qayxRG7iRqVY/+e9d3l/+b95b+WHjBjpbFFS9745IUv7fDL9sp+cYnKcUsKD4WTRGYzIEXYN/KINIUT0D9IQzVRLKUsjPYhgmHluGALMXDfsD4Q0z2NC4AwVQogPpZQHRXocQ0E8XQvE3/VEkni7l/F0PfF0LdFAPN3PeLoWiI7rMYUeDAaDwWAwxB1G4BgMBoPBYIg79jeB86dID2AIiadrgfi7nkgSb/cynq4nnq4lGoin+xlP1wJRcD37VQyOwWAwGAyG/YP9zYJjMBgMBoNhP8AIHIPBYDAYDHGHETgGg8FgMBjijpgXOEKI84QQm4UQLUKId4QQU73LrxZC1HiX/1sIMU3b5wQhRIUQolUI8ZQQYoR3eYIQ4gkhRKMQ4soIXMulQogdQog9QoiXhBCj3cYbzdcS5HpsP7Nov55IEk/z3DuGuJnrZp4PLfE01+Npnge5nuic61LKmH0Bk4EW4EQgHbgOWA3MB3YAE4FU4E7gLe8+OcAu4FTv/58G7vOuOwH4FZABvARkDeO1zAIavWPPAp4ElgUZb1ReS5Drsf3Mov16zDw3c93MczPX99d5HqtzPdYtOAuBt6WUr0gp24HfAHMB6X2pXluJeG4ywMnAx1LK56SUTcAdwDnedcK7bZL3/8OZYnYk8JKUcpWUsgV4HJgZZLzRei3gfD22n5kQIpfovp5IEk/zHOJrrpt5PrTE01yPp3kOsTjXh1MBhkFRFgGl2vuv4lGSScAf6ftStAFTvNvcDSzR9kn1bpOFx2X3Nzwq9fJhvpZkIMX7/zw86vj+IOONymsJcj1un1nUXk8kX/E0z4PMjZib62aem7k+gLkRc/M8yPVE7VyP6W7iUso69X8hxBl4vgDXAkcBpwEHABXAXXjU5sHASKBaO0anEKIHGCk9qvTsYbsADSllN4AQYhGeAkkdwHHAeTiMlyi9Fu9YbK/H6TOTUvYIIaL2eiJJPM1z71jiZq6beT60xNNcj6d57h1LzM31WHdRIYTIF0I8D/wWOF9KeT8ef98yKeVq7028FkTy+L4AAA6/SURBVDjIazLbjcdPqPZPwaM0m4Z/9IFIKR/G45O8BngOjxJ2Gm9UXwsEXo8QItnhM4MYuJ5IEW/zHOJrrpt5PnTE21yPp3kOsTXXY1rgCCEygeV4TFzTpJQveFe1WTbtAfYB7cA6PMFSiulAhfT4DiOGEOJ6IcR3AbxjeRDIBWpwHm9UXgu4Xk8h9p8ZRPH1RJJ4mucQX3PdzPOhJZ7mejzNc4jRuR5uv104X8AFeIKbrMuPAGrxmDPT8ZgzX5J9vsNd3m1ygJeBm6LkWj4HyoA0PJHon7qNN1qvJcj12H5m0X49UXAvA+5ZLM7zIHMj5ua6medhuZ8B9y0W53o8zfMg1xO1cz3iN22QN/x+oBePmtdfJcAPgUqgGXgBKNL2+xawCY+p8P+A1Ci4liTgXu+XuBl4BSgPNt5ovBa363H7zKL5eiJ8L+NmnrvNjWBjjsbrMfN8yO9n3Mz1eJrnbtcTzXPdNNs0GAwGg8EQd8R0DI7BYDAYDAaDHUbgGAwGg8FgiDuMwDEYDAaDwRB3GIFjMBgMBoMh7ojZSsZCiFHA/2BEmsFDB/BXKWVXpAcy1AghjsWTmmkwAPxXSrkm0oMYaoQQhcApePoSGQwtwN+klPsGeoCYzKISQkxNJ3tdXlIJiaT4rcvIyLbdx255Zl66zZaQmR+4PCvbftus7IzAZSPSbLdNz0wJWJaZlRqwLDXNXnempQZquWTRabttQtfugGXCZhkAbfUBi2TrTttNu1saA5Z17m2w3bZ9T3PAstZ2+7na2toTsGxPh/1zrsVGwtS3Smr2SjY39xZKKe0HH2MIIRKysrL2AYwYMcJxu7y8vKDHKiwsdF1fUFDguj7YObKz7b93ipEjR7quB8jKynJdn9zrrl3lXvePfV/D9qBj6Kqvc13fut1+riv2bguc8zq7a1td19e0d7uul8CHPXuYw0jekDvjRgj8jxgj/00DByaNJMXlb9Zx6e5/k48c4z6HRo51n6cAmaPzXdcnFxa7rk/MG+26vjcz13V9u7D//dDZ0+X+m1/XYv+7oNje3OG6fssua11Ff5p2Ba/T19LkPtdbd251Xd+9exuysxm5p2aUlNL9i+VAzFlwJor5Mo2RjGUOOUljAtaPyghcBjBqVOCkzJtgP9nzJo4KXFZs/4AuGJ0TsCy/0H7b7LxAMZSTnxmwbMSIQCEEkJUV+HGlC/tJlNhWE7Asoc3hAd9UGbBI2iwDaG+oDljWUmf/ZWuuD/yS7dpt/yPVuCtQaNfvtX9+72wNXN7WBRub9tHRI+svnpfKg6s7Y/rhL4QYkZaWtgdg/PjxCOF8ORMmTAh6vPLyctf1kyZNcl1fWlrqun7MGPvvnaKoqMh1PUB+vvsPS9o+94eurNvour5709qgY2irWO+6vnFtlev6+t5a1/XbmwP/QND5tMv9hweguCedt2ngAJEtV7MnUUrZG3SnKOZ4USBXs4fjKGBqkv0fkoq5GYF/EOoUj3GfQ4Wz3MUHQN5Md2Npevk01/XJpTNc1/fkun9fmxPcRRpAbau7EN7Q4C4u1tbudV2fUO3eSSFpawh6Y6v7XO9O/tR1fW/mWHp3b6a3u323EGKqlHJD8JP6EzPuHSGEGCNmyJ1sZCKHkE7wvwgN+xeTchL5n6nJPF/RzdnTU2LPNOlFCFGWnJy8Jz09nZEjR7qKG8P+RwoJHI/H4lZK+j4hhLN5L4oRQiQcJEbJ9bRyEkVkkxzpIRmijIRRpSROOBzSc9cnTTqh38/0mBA4QojUHMb1dtJKKYeQhLuKN+y/5KUn8P1ZKXxct48FJclSxJg6yM/Pl0lJSRuzs7NJT3f/a9aw/yIQHEIOk8ikgJQ9QoiJkR5TfxBCZJaRsa8HyQkUkBobP0WGCCDSc0kqO57e+s9IHDe/X8/0qJ9VQojiTHI70slmDLNIiP4hGyJMWpLg29OT6eyRzMhL6PU28It6Ro0aJffu3UteXh4pKfZuSoNBp5xMjiCXPJKrThbFMWG1FEKUFJLSUkI6XyWHBBNTbAiCSE4nsex4ZPtuRO7kXiFESFaOWFALlyWTTi4lCPNFMIRIghAcU5LE3i4JcEakxxMMIUT+nj17GDVqFImJiZEejiGGKCCVAxnFcnZFeiihck0RqUwheKyJwaAQCYkkjpuPbGsAOD6UfWJB4NycQCLb+IxeBpwtZtjPaOuWPPFFN1NzEwGWRXo8wZBSNuTm5rJr1y66uuIu090QRtbTwic000R3SaTHEiJXtrOP/7CLXmLC6GSIAmR3G/s2vkZC/jSklC+Gsk/UCxwpZVejrBbpZLOJ9+kmeJaBYf9mZ1svy9Z2MX9MIq9v7hYyRmohNDQ0iJ6enpLm5mba2twzhgyGXiT/pYkttFNPV5aUckukxxQKUsr2StoSMkjkFerpMH+4GoLQ29ZAz8bXSSiex76tK+InBkexTX4uipjMZj6gnQGlxBv2Azbs2sc/NnTT0Jk484kvumLOpyml3NLd3Z3V0dFBc3MzMaLNDMNMJ738i52kIKiiLUFK6Z4XHGVIKeUq2SRmMoKXqacJ97Rnw/5Lb1MVvTX/hY5dk3oqX+nXMz1mBA5AlVwpOthTvo017CZ40S7D/oOUkuU1PazasY/aVpnf3d39RaTHNFCklK0dHR2JCQkJ7Nq1i337zF+4hj52081L1DGVTD6Qu2PGQmnHq7JeLCCPN9nJFoIXjzPsP0gp2bfjI3qbNiHbGkZKKd2LUNkQq5WMR46gsDkpIYUk4Z9tkpISWEzPaXnaSPtMlVSbQntp6fbbptkUnkpLt6/nkJIaWKgvNS1w2+QUe92ZnBQoXhNFYAVggIQemz/oehzcHp02FrHOPbab9nS0BC5rt9+2qz3wgdXpUIGzozOwVplTUdeO7sD70NguyU0XfLBjX4qUMm7+HMzNzZXt7e2kpTlXN3WrcqwIVkk42Ppg58jIsP/eKUJJeXe7RoBEaT/XfTjMQ0XvXvfiZQA9ze7W4c4m93O0B6nw2rrb3cW+K0iFWgls7e1gAfk8LbfHnIXSCSFE3ljSGnISkkhxyQLOS3EPwE8f5T6H0nPd5ylAWo77dyExSNXuhKzA4q86vWnuwdXdIdQDautxr+3Y3OH+XWlqc4/za7ArF6/R2ho8TrC9xX2ud+11LwTYs7cekVlIb91nAy5mGZMCB0AIkQjcBDwXhsOfBjxrjhtTx+0Avial/NMQHzfiCCHGAhcTns+iP4RrPsTK+aNlDIdLKX8b4TEMOUKIZOBGIn9/o+EzNmPw9KI6ajDP9JgVOABCiA+llAeZ45rjhvO40UA0XFukxxDp85sxhJ9ouDYzhvgZQ0zF4BgMBoPBYDCEghE4BoPBYDAY4o5YFzjhircwxzXHjTai4doiPYZInx/MGMJNNFybGYOHmB9DTMfgGAwGg8FgMNgR6xYcg8FgMBgMhgBiXuAIIS4VQuwQQuwRQrwkhBg9RMc9TwixWQjRIoR4RwgxdSiOqx3/PSHEVwd5jBOEEBVCiFYhxFNCiOAFUfp3/EGP0XK8sNzTcM2BSON0v4SHe4QQzUKI7UKIi4ZhLH5zYTjHEO55HsL5fdc+3Pfebg5E4vMfTsL97O3nWIb0GRjC+SI61y1jGdZrt5x7aOaAlDJmX8AsoBGYD2QBTwLLhuC4k/Hk4J8IpAPXAauHaMwnAH/EU7Prq4M4Tg6wCzjV+/+ngfuiaYzDcU/DNQci/XK7X8D5wGfAWGA20ADMC9M4bOfCcI0hnPN8INc+zPfedg4M5xiG+xXOZ+9gP/thOGfE5nqkrz1ccyDWLThHAi9JKVdJKVuAx4GZQ3DchcDbUspXpJTtwG+AuUKI3CE49uFAEp4PcDCcDHwspXxOStkE3AGcM9jBeRmqMeqE656Gaw5EGrf79V3gLinlNinlGjyi7uwwjcNpLgzXGMI5z4Nhd+3Dee9t58Awj2G4Ceeztz+E4xkYjEjOdZ1IXLvOkM2BwN4BscXDwCPgKfUNnAusGILjPgf8S3t/INAGuNdpDwEp5a8AhBDHDvJQc/D8Naf4HCgSQmR5f+gHzBCOUSdc9zRccyDSuN0v62e/FhjKz8qHy1wYrjGEbZ4Hw+Hah+3e4zwHhnMMw03Ynr39IUzPwGBEbK7rROjadYZsDsS0BUdK2S2l7BJCLMJjpj0V+OsQHLdOSrkZQAhxBvAicK2UwZrhDCsjoa+tupSyE+jxLo86wnVPwzUHIk2Q++X32QN7Gf7PfbjGEG3zfNjuvdMcGM4xDDcx8uwNF9E21yPCUM6BmBA4QohfCCF6bF5LAaSUDwMZwDXAc8LT02RQxxVC5Ashngd+C5wvpbx/qMY7ROzG459U50zBY5EL3lEwQgzmngZjoHMg0gxwDvp99niue8Cf+wDn65COIdTzRME8H67rBhy/M8M6hnAQrmfvUI0hHOcLgWib6xFjqOZATAgcKeVtUsok6wuoEkJ817tNO/AgkEuIitfluD8FluMJXp0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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "perc_diff = (raintot_diffs_time_mean_landmask/raintot_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-25,26,2.5)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "contour_plot1 = ax1.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "perc_diff = (etran_diffs_time_mean_landmask/etran_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-40,41,5)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "contour_plot2 = ax2.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "perc_diff = (lh_diffs_time_mean_landmask/lh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-15,16,2.5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "contour_plot3 = ax3.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "perc_diff = (t2_diffs_time_mean_landmask/(t2_400_time_mean_landmask-273.15))*100.\n", + "levels = numpy.arange(-3,3.1,0.25)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "contour_plot4 = ax4.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "perc_diff = (pblh_diffs_time_mean_landmask/pblh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-20,21,2.5)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "perc_diff = (prw_diffs_time_mean/prw_400_time_mean)*100.\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax5.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax6.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)#h_pad=7, w_pad=3)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-40,-20,0,20,40])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-3,-2,-1,0,1,2,3])\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "fig.savefig('png_files/FRACTIONAL_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, 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"nbformat_minor": 2 +} diff --git a/figure_1_land_use_topog_precip_winds.ipynb b/figure_1_land_use_topog_precip_winds.ipynb index f97819a..a2a16c8 100644 --- a/figure_1_land_use_topog_precip_winds.ipynb +++ b/figure_1_land_use_topog_precip_winds.ipynb @@ -2,11 +2,11 @@ "cells": [ { "cell_type": "code", - "execution_count": 6, + "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2018-08-02T16:57:14.811332Z", - "start_time": "2018-08-02T16:57:14.792179Z" + "end_time": "2018-08-15T23:23:39.470057Z", + "start_time": "2018-08-15T23:23:38.456811Z" } }, "outputs": [], @@ -38,8 +38,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2018-08-02T16:54:08.215010Z", - "start_time": "2018-08-02T16:54:08.211136Z" + "end_time": "2018-08-15T23:23:40.627425Z", + "start_time": "2018-08-15T23:23:40.621745Z" } }, "outputs": [], @@ -52,11 +52,25 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2018-08-02T16:54:08.729325Z", - "start_time": 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"\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: b'/Users/baird/Dropbox/_data_WRF/geo_em.d01_amazon_50km.nc'" + ] + } + ], "source": [ "geo_em_ncfile = netCDF4.Dataset('/Users/baird/Dropbox/_data_WRF/geo_em.d01_amazon_50km.nc')\n", "lu_index = geo_em_ncfile.variables['LU_INDEX'][0,:,:]\n", @@ -77,8 +91,8 @@ "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2018-08-02T16:54:35.811174Z", - "start_time": "2018-08-02T16:54:35.805337Z" + "end_time": "2018-08-15T23:23:44.081198Z", + "start_time": "2018-08-15T23:23:44.068641Z" } }, "outputs": [], @@ -110,8 +124,8 @@ "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2018-08-02T16:57:04.709323Z", - "start_time": "2018-08-02T16:57:04.696204Z" + "end_time": "2018-08-15T23:23:44.413759Z", + "start_time": "2018-08-15T23:23:44.409512Z" } }, "outputs": [], @@ -958,7 +972,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.6" + "version": "3.6.5" } }, "nbformat": 4, diff --git a/gp1_MANUSCRIPT_height_longitude_moisture_clouds_1500hour.ipynb b/gp1_MANUSCRIPT_height_longitude_moisture_clouds_1500hour.ipynb index 82da0a3..82c98af 100644 --- a/gp1_MANUSCRIPT_height_longitude_moisture_clouds_1500hour.ipynb +++ b/gp1_MANUSCRIPT_height_longitude_moisture_clouds_1500hour.ipynb @@ -9,11 +9,11 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:28:36.812388Z", - "start_time": "2018-07-02T19:28:36.796033Z" + "end_time": "2018-08-10T17:56:37.360612Z", + "start_time": "2018-08-10T17:56:34.456102Z" } }, "outputs": [], @@ -49,11 +49,11 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:28:42.255863Z", - "start_time": "2018-07-02T19:28:37.777323Z" + "end_time": "2018-08-10T17:56:44.476511Z", + "start_time": "2018-08-10T17:56:38.480404Z" } }, "outputs": [], @@ -66,11 +66,11 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:28:51.417393Z", - "start_time": "2018-07-02T19:28:42.264306Z" + "end_time": "2018-08-10T18:01:57.513127Z", + "start_time": "2018-08-10T17:56:44.485061Z" } }, "outputs": [], @@ -84,11 +84,11 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:28:51.911054Z", - "start_time": "2018-07-02T19:28:51.896414Z" + "end_time": "2018-08-10T18:01:57.539670Z", + "start_time": "2018-08-10T18:01:57.518021Z" } }, "outputs": [], @@ -106,11 +106,11 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:28:53.813384Z", - "start_time": "2018-07-02T19:28:51.919124Z" + "end_time": "2018-08-10T18:02:31.292673Z", + "start_time": "2018-08-10T18:01:57.545153Z" } }, "outputs": [], @@ -131,11 +131,11 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:28:58.714895Z", - "start_time": "2018-07-02T19:28:54.292984Z" + "end_time": "2018-08-10T18:02:42.320840Z", + "start_time": "2018-08-10T18:02:31.301357Z" } }, "outputs": [], @@ -148,11 +148,11 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:30:34.242163Z", - "start_time": "2018-07-02T19:30:03.918836Z" + "end_time": "2018-08-10T18:06:17.168060Z", + "start_time": "2018-08-10T18:02:42.329356Z" } }, "outputs": [], @@ -165,11 +165,11 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:30:35.087622Z", - "start_time": "2018-07-02T19:30:35.074297Z" + "end_time": "2018-08-10T18:06:17.201563Z", + "start_time": "2018-08-10T18:06:17.170422Z" } }, "outputs": [], @@ -194,11 +194,11 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:30:35.939908Z", - "start_time": "2018-07-02T19:30:35.923990Z" + "end_time": "2018-08-10T18:06:17.377132Z", + "start_time": "2018-08-10T18:06:17.209955Z" } }, "outputs": [], @@ -209,11 +209,11 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:30:36.072634Z", - "start_time": "2018-07-02T19:30:35.947978Z" + "end_time": "2018-08-10T18:06:17.641091Z", + "start_time": "2018-08-10T18:06:17.396509Z" } }, "outputs": [], @@ -230,11 +230,11 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:30:37.737000Z", - "start_time": "2018-07-02T19:30:37.730848Z" + "end_time": "2018-08-10T18:06:17.780659Z", + "start_time": "2018-08-10T18:06:17.643548Z" } }, "outputs": [], @@ -253,11 +253,11 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:30:39.521320Z", - "start_time": "2018-07-02T19:30:38.574693Z" + "end_time": "2018-08-10T18:06:50.482425Z", + "start_time": "2018-08-10T18:06:17.783106Z" } }, "outputs": [], @@ -267,11 +267,11 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:30:39.646042Z", - "start_time": "2018-07-02T19:30:39.530354Z" + "end_time": "2018-08-10T18:06:50.608045Z", + "start_time": "2018-08-10T18:06:50.491138Z" } }, "outputs": [], @@ -289,11 +289,11 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:31:09.614075Z", - "start_time": "2018-07-02T19:30:41.349627Z" + "end_time": "2018-08-10T18:08:39.952036Z", + "start_time": "2018-08-10T18:06:50.616718Z" } }, "outputs": [], @@ -303,26 +303,28 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:31:15.479955Z", - "start_time": "2018-07-02T19:31:09.616584Z" + "end_time": "2018-08-10T18:08:52.586077Z", + "start_time": "2018-08-10T18:08:39.960393Z" } }, "outputs": [], "source": [ "qvapor_diffs_latlon_nan = numpy.copy(qvapor_diffs)\n", - "qvapor_diffs_latlon_nan[:,:,~latlon_indices]=numpy.nan" + "qvapor_diffs_latlon_nan[:,:,~latlon_indices]=numpy.nan\n", + "qvapor_400_latlon_nan = numpy.copy(qvapor_400.values)\n", + "qvapor_400_latlon_nan[:,:,~latlon_indices]=numpy.nan" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:31:22.994257Z", - "start_time": "2018-07-02T19:31:17.312266Z" + "end_time": "2018-08-10T18:09:03.626419Z", + "start_time": "2018-08-10T18:08:52.594847Z" } }, "outputs": [ @@ -330,13 +332,16 @@ "name": "stderr", "output_type": "stream", "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", - " \"\"\"Entry point for launching an IPython kernel.\n" + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + " \n" ] } ], "source": [ - "qvapor_diffs_latmean = numpy.nanmean(qvapor_diffs_latlon_nan, axis=2)" + "qvapor_diffs_latmean = numpy.nanmean(qvapor_diffs_latlon_nan, axis=2)\n", + "qvapor_400_latmean = numpy.nanmean(qvapor_400_latlon_nan, axis=2)" ] }, { @@ -348,11 +353,11 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:34:36.888726Z", - "start_time": "2018-07-02T19:31:24.869362Z" + "end_time": "2018-08-10T18:10:59.157354Z", + "start_time": "2018-08-10T18:09:03.635117Z" } }, "outputs": [], @@ -362,11 +367,11 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:34:39.938713Z", - "start_time": "2018-07-02T19:34:36.897017Z" + "end_time": "2018-08-10T18:11:02.584970Z", + "start_time": "2018-08-10T18:10:59.165977Z" } }, "outputs": [], @@ -377,11 +382,26 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:11:12.263439Z", + "start_time": "2018-08-10T18:11:02.593644Z" + } + }, + "outputs": [], + "source": [ + "cldfra_400_latlon_nan = numpy.copy(cldfra_400.values)\n", + "cldfra_400_latlon_nan[:,:,~latlon_indices]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 20, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:34:45.454618Z", - "start_time": "2018-07-02T19:34:39.947140Z" + "end_time": "2018-08-10T18:11:18.069272Z", + "start_time": "2018-08-10T18:11:12.272012Z" } }, "outputs": [ @@ -389,7 +409,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", " \"\"\"Entry point for launching an IPython kernel.\n" ] } @@ -398,6 +418,29 @@ "cldfra_diffs_latmean = numpy.nanmean(cldfra_diffs_latlon_nan, axis=2)" ] }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:11:23.564622Z", + "start_time": "2018-08-10T18:11:18.077599Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n" + ] + } + ], + "source": [ + "cldfra_400_latmean = numpy.nanmean(cldfra_400_latlon_nan, axis=2)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -407,11 +450,11 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 22, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:34:51.006249Z", - "start_time": "2018-07-02T19:34:48.527002Z" + "end_time": "2018-08-10T18:11:26.188470Z", + "start_time": "2018-08-10T18:11:23.572923Z" } }, "outputs": [], @@ -422,11 +465,26 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 48, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:34:57.122726Z", - "start_time": "2018-07-02T19:34:51.015253Z" + "end_time": "2018-08-11T16:06:55.586444Z", + "start_time": "2018-08-11T16:06:52.627694Z" + } + }, + "outputs": [], + "source": [ + "ua_400_latlon_nan = numpy.copy(ua_400)\n", + "ua_400_latlon_nan[:,:,~latlon_indices] = numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:11:32.261746Z", + "start_time": "2018-08-10T18:11:26.197175Z" } }, "outputs": [], @@ -440,11 +498,34 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 49, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-11T16:07:19.665006Z", + "start_time": "2018-08-11T16:07:14.233511Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n" + ] + } + ], + "source": [ + "ua_400_latmean = numpy.nanmean(ua_400_latlon_nan, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:09.456528Z", - "start_time": "2018-07-02T19:34:58.492030Z" + "end_time": "2018-08-10T18:11:43.084189Z", + "start_time": "2018-08-10T18:11:32.270234Z" } }, "outputs": [ @@ -452,9 +533,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", " \"\"\"Entry point for launching an IPython kernel.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", " \n" ] } @@ -476,11 +557,11 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:13.082029Z", - "start_time": "2018-07-02T19:35:11.883368Z" + "end_time": "2018-08-10T18:11:44.326928Z", + "start_time": "2018-08-10T18:11:43.092326Z" } }, "outputs": [], @@ -490,11 +571,11 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 26, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:16.126693Z", - "start_time": "2018-07-02T19:35:13.090443Z" + "end_time": "2018-08-10T18:11:47.377826Z", + "start_time": "2018-08-10T18:11:44.335616Z" } }, "outputs": [], @@ -505,11 +586,26 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 27, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:22.925855Z", - "start_time": "2018-07-02T19:35:17.418602Z" + "end_time": "2018-08-10T18:11:50.296926Z", + "start_time": "2018-08-10T18:11:47.386462Z" + } + }, + "outputs": [], + "source": [ + "tk_400_latlon_nan = numpy.copy(tk_400)\n", + "tk_400_latlon_nan[:,:,~latlon_indices]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:11:55.717073Z", + "start_time": "2018-08-10T18:11:50.305733Z" } }, "outputs": [ @@ -517,7 +613,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", " \"\"\"Entry point for launching an IPython kernel.\n" ] } @@ -526,6 +622,29 @@ "tk_diffs_latmean = numpy.nanmean(tk_diffs_latlon_nan, axis=2)" ] }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:12:01.133731Z", + "start_time": "2018-08-10T18:11:55.725190Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n" + ] + } + ], + "source": [ + "tk_400_latmean = numpy.nanmean(tk_400_latlon_nan, axis=2)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -535,11 +654,11 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 30, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:28.464767Z", - "start_time": "2018-07-02T19:35:25.521316Z" + "end_time": "2018-08-10T18:12:04.015796Z", + "start_time": "2018-08-10T18:12:01.142044Z" } }, "outputs": [], @@ -550,11 +669,11 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 31, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:33.975364Z", - "start_time": "2018-07-02T19:35:28.473755Z" + "end_time": "2018-08-10T18:12:09.426562Z", + "start_time": "2018-08-10T18:12:04.024435Z" } }, "outputs": [ @@ -562,7 +681,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", " \"\"\"Entry point for launching an IPython kernel.\n" ] } @@ -580,11 +699,11 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 32, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:39.640698Z", - "start_time": "2018-07-02T19:35:36.695153Z" + "end_time": "2018-08-10T18:12:12.377624Z", + "start_time": "2018-08-10T18:12:09.434711Z" } }, "outputs": [], @@ -595,11 +714,11 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 33, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:45.145911Z", - "start_time": "2018-07-02T19:35:39.649089Z" + "end_time": "2018-08-10T18:12:17.787900Z", + "start_time": "2018-08-10T18:12:12.386286Z" } }, "outputs": [ @@ -607,7 +726,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", " \"\"\"Entry point for launching an IPython kernel.\n" ] } @@ -625,11 +744,11 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 34, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:48.099778Z", - "start_time": "2018-07-02T19:35:47.984100Z" + "end_time": "2018-08-10T18:12:17.912372Z", + "start_time": "2018-08-10T18:12:17.796236Z" } }, "outputs": [], @@ -640,11 +759,11 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 35, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:48.810261Z", - "start_time": "2018-07-02T19:35:48.108404Z" + "end_time": "2018-08-10T18:12:18.372591Z", + "start_time": "2018-08-10T18:12:17.921612Z" } }, "outputs": [], @@ -655,11 +774,11 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 36, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:50.945092Z", - "start_time": "2018-07-02T19:35:50.249680Z" + "end_time": "2018-08-10T18:12:19.119545Z", + "start_time": "2018-08-10T18:12:18.381087Z" } }, "outputs": [], @@ -677,11 +796,11 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 37, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:53.829960Z", - "start_time": "2018-07-02T19:35:53.824052Z" + "end_time": "2018-08-10T18:12:19.134543Z", + "start_time": "2018-08-10T18:12:19.128209Z" } }, "outputs": [], @@ -693,11 +812,11 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 38, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:54.162263Z", - "start_time": "2018-07-02T19:35:53.837764Z" + "end_time": "2018-08-10T18:12:19.424548Z", + "start_time": "2018-08-10T18:12:19.142876Z" } }, "outputs": [], @@ -708,11 +827,11 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 39, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:35:54.737544Z", - "start_time": "2018-07-02T19:35:54.171252Z" + "end_time": "2018-08-10T18:12:19.990477Z", + "start_time": "2018-08-10T18:12:19.433009Z" } }, "outputs": [ @@ -720,11 +839,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", " \"\"\"Entry point for launching an IPython kernel.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", " \n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", " This is separate from the ipykernel package so we can avoid doing imports until\n" ] } @@ -744,11 +863,11 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 40, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:39:25.680949Z", - "start_time": "2018-07-02T19:39:25.661794Z" + "end_time": "2018-08-10T18:12:20.015788Z", + "start_time": "2018-08-10T18:12:19.998655Z" } }, "outputs": [], @@ -765,17 +884,17 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 41, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:40:24.544215Z", - "start_time": "2018-07-02T19:40:24.523017Z" + "end_time": "2018-08-10T18:12:20.130721Z", + "start_time": "2018-08-10T18:12:20.024248Z" } }, "outputs": [], "source": [ - "colors1 = cmocean.cm.turbid_r(np.linspace(0., 1, 128))\n", - "colors2 = cmocean.cm.deep(np.linspace(0, 1, 128))\n", + "colors1 = cmocean.cm.turbid_r(numpy.linspace(0., 1, 128))\n", + "colors2 = cmocean.cm.deep(numpy.linspace(0, 1, 128))\n", "\n", "# combine them and build a new colormap\n", "colors = numpy.vstack((colors1, colors2))\n", @@ -791,11 +910,11 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 42, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:39:27.229909Z", - "start_time": "2018-07-02T19:39:27.222134Z" + "end_time": "2018-08-10T18:12:20.371243Z", + "start_time": "2018-08-10T18:12:20.139684Z" } }, "outputs": [], @@ -806,11 +925,11 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 51, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:39:31.794375Z", - "start_time": "2018-07-02T19:39:31.755978Z" + "end_time": "2018-08-11T16:08:05.177638Z", + "start_time": "2018-08-11T16:08:05.124243Z" } }, "outputs": [ @@ -818,24 +937,31 @@ "name": "stderr", "output_type": "stream", "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", " \"\"\"Entry point for launching an IPython kernel.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", " \n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", " This is separate from the ipykernel package so we can avoid doing imports until\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", " after removing the cwd from sys.path.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:5: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:5: RuntimeWarning: Mean of empty slice\n", " \"\"\"\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:8: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:7: RuntimeWarning: Mean of empty slice\n", + " import sys\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:8: RuntimeWarning: Mean of empty slice\n", " \n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: Mean of empty slice\n", " if __name__ == '__main__':\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:11: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:11: RuntimeWarning: Mean of empty slice\n", " # This is added back by InteractiveShellApp.init_path()\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:12: RuntimeWarning: Mean of empty slice\n", - " if sys.path[0] == '':\n" + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:12: RuntimeWarning: Mean of empty slice\n", + " if sys.path[0] == '':\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:14: RuntimeWarning: Mean of empty slice\n", + " \n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:16: RuntimeWarning: Mean of empty slice\n", + " app.launch_new_instance()\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:17: RuntimeWarning: Mean of empty slice\n" ] } ], @@ -846,10 +972,15 @@ "ua_diffs_latmean_timechunk = numpy.nanmean(ua_diffs_latmean[time_indices_1500,:,:], axis=0)\n", "wa_diffs_latmean_timechunk = numpy.nanmean(wa_diffs_latmean[time_indices_1500,:,:], axis=0)\n", "\n", + "qvapor_400_latmean_timechunk = numpy.nanmean(qvapor_400_latmean[time_indices_1500,:,:], axis=0)\n", + "tk_400_latmean_timechunk = numpy.nanmean(tk_400_latmean[time_indices_1500,:,:], axis=0)\n", + "cldfra_400_latmean_timechunk = numpy.nanmean(cldfra_400_latmean[time_indices_1500,:,:], axis=0)\n", "\n", "pblh_400_latmean_timechunk = numpy.nanmean(pblh_400_latmean[time_indices_1400,:], axis=0)\n", "pblh_1000_latmean_timechunk = numpy.nanmean(pblh_1000_latmean[time_indices_1400,:], axis=0)\n", "\n", + "ua_400_latmean_timechunk = numpy.nanmean(ua_400_latmean[time_indices_1500,:], axis=0)\n", + "\n", "geopot_400_latmean_timechunk = numpy.nanmean(geopot_400_latmean[time_indices_1500,:,:], axis=0)\n", "ptot_400_latmean_timechunk = numpy.nanmean(ptot_400_latmean[time_indices_1500,:,:], axis=0)" ] @@ -863,11 +994,11 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 44, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:41:03.074870Z", - "start_time": "2018-07-02T19:41:03.064574Z" + "end_time": "2018-08-10T18:12:20.686729Z", + "start_time": "2018-08-10T18:12:20.571810Z" } }, "outputs": [], @@ -877,11 +1008,11 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 45, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:41:09.281453Z", - "start_time": "2018-07-02T19:41:05.191931Z" + "end_time": "2018-08-10T18:12:24.759233Z", + "start_time": "2018-08-10T18:12:20.695659Z" } }, "outputs": [ @@ -1058,16 +1189,299 @@ " fontsize=fontsize)\n", "\n", "\n", - "fig.savefig('png_files/moisture_clouds_temp_1500_pblh_1400_days2-10_zcoords.png', dpi=600, bbox_inches='tight')" + "fig.savefig('figures/moisture_clouds_temp_1500_pblh_1400_days2-10_zcoords.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# calculate percent changes for manuscript" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-11T16:12:37.345394Z", + "start_time": "2018-08-11T16:12:33.697430Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:39: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:39: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: invalid value encountered in greater\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4,6))\n", + "\n", + "#axes[0].contourf(qvapor_diffs_latmean_timechunk)\n", + "#axes[1].contourf(cldfra_diffs_latmean_timechunk)\n", + "#axes[2].contourf(tk_diffs_latmean_timechunk)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "ax_list = []\n", + "contour_list = []\n", + "\n", + "\n", + "\n", + "ax = fig.add_subplot(311)#, projection=cartopy.crs.PlateCarree())\n", + "levels = numpy.arange(-10,10.1,2)\n", + "contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_latmean_timechunk/(g*1000.),\\\n", + " (qvapor_diffs_latmean_timechunk/qvapor_400_latmean_timechunk)*100.,\\\n", + " levels=levels,\\\n", + " cmap=cmap_precip,\\\n", + " extend='both')\n", + "ax.plot(xx[0,:]+360.,pblh_400_latmean_timechunk/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_latmean_timechunk/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlim(279,321)\n", + "ax.set_ylim(0,3.25)\n", + "ax.set_yticks([1,2,3])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_ylabel('km', fontsize=fontsize)\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "contour_list.append(contour_plot)\n", + "\n", + "\n", + "\n", + "\n", + "ax = fig.add_subplot(312)#, projection=cartopy.crs.PlateCarree())\n", + "levels = numpy.arange(-200,201,20)\n", + "plot_field = cldfra_diffs_latmean_timechunk/cldfra_400_latmean_timechunk*100.\n", + "plot_field[plot_field>1e10]=numpy.nan\n", + "contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_latmean_timechunk/(g*1000.),\\\n", + " plot_field,\\\n", + " levels=levels,\\\n", + " cmap=cmocean.cm.balance_r,\\\n", + " extend='both',\\\n", + " )\n", + "ax.plot(xx[0,:]+360.,pblh_400_latmean_timechunk/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_latmean_timechunk/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,3.25)\n", + "ax.set_xlim(279,321)\n", + "ax.set_yticks([1,2,3])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_ylabel('km', fontsize=fontsize)\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "contour_list.append(contour_plot)\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .3 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .2#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "ax = fig.add_subplot(313)#, projection=cartopy.crs.PlateCarree())\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_latmean_timechunk/(g*1000.),\\\n", + " tk_diffs_latmean_timechunk/tk_400_latmean_timechunk*100.,\\\n", + " levels=levels,\\\n", + " cmap='PuOr_r',\\\n", + " extend='both')\n", + "ax.plot(xx[0,:]+360.,pblh_400_latmean_timechunk/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_latmean_timechunk/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,3.25)\n", + "ax.set_xlim(279,321)\n", + "ax.set_yticks([1,2,3])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_ylabel('km', fontsize=fontsize)\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "contour_list.append(contour_plot)\n", + "\n", + "\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_latmean_timechunk[z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_latmean_timechunk[z_indices,::every_nth_lon],\\\n", + " wa_diffs_latmean_timechunk[z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width)#, headwidth=quiver_head_width,\\\n", + " #headlength=quiver_head_length)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(0.9,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower left', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "ax_list[0].text(s='(a) $\\Delta$ moisture (15:00, days 2–10)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax_list[0].transAxes)\n", + "ax_list[1].text(s='(b) $\\Delta$ cloud fraction (15:00, days 2–10)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax_list[1].transAxes)\n", + "ax_list[2].text(s='(c) $\\Delta$ temperature (15:00, days 2–10)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax_list[2].transAxes)\n", + "\n", + "axpos1 = ax_list[0].get_position()\n", + "axpos2 = ax_list[1].get_position()\n", + "axpos3 = ax_list[2].get_position()\n", + "\n", + "cbar_ax1 = fig.add_axes([axpos1.x1+0.05,axpos1.y0,0.035,axpos1.height])\n", + "cbar_ax2 = fig.add_axes([axpos2.x1+0.05,axpos2.y0,0.035,axpos2.height])\n", + "cbar_ax3 = fig.add_axes([axpos3.x1+0.05,axpos3.y0,0.035,axpos3.height])\n", + "\n", + "cbar1 = fig.colorbar(contour_list[0], cax=cbar_ax1)\n", + "cbar_ax1.tick_params(labelsize=fontsize)\n", + "#cbar1.set_ticks([-1,-.5,0,.5,1])\n", + "cbar1.set_label('%', fontsize=fontsize)\n", + "\n", + "cbar2 = fig.colorbar(contour_list[1], cax=cbar_ax2)\n", + "cbar_ax2.tick_params(labelsize=fontsize)\n", + "#cbar2.set_ticks([-20,-10,0,10,20])\n", + "cbar2.set_label('%', fontsize=fontsize)\n", + "\n", + "cbar3 = fig.colorbar(contour_list[2], cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.set_ticks([-1.5,-1,-.5,0,.5,1,1.5])\n", + "cbar3.set_label('%', fontsize=fontsize)\n", + "\n", + "\n", + "quiver_key = ax_list[2].quiverkey(quiver_plot, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[2].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=1.01, y=1.02,\\\n", + " ha='left', va='bottom',\\\n", + " transform=ax_list[2].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "\n", + "fig.savefig('figures/moisture_clouds_temp_1500_pblh_1400_days2-10_zcoords_percent_change.png', dpi=600, bbox_inches='tight')" ] }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 116, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-11T16:29:41.492728Z", + "start_time": "2018-08-11T16:29:41.004094Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = mp.figure(figsize=(4.25,3))\n", + "fontsize = 12\n", + "\n", + "ax = fig.add_subplot(111)\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "contour_plot = ax.contourf(xx+360., geopot_400_latmean_timechunk/(g*1000.),\\\n", + " ua_diffs_latmean_timechunk/ua_400_latmean_timechunk*100.,\\\n", + " levels=levels,\\\n", + " cmap='PuOr_r',\\\n", + " extend='both')\n", + "\n", + "ax.set_ylim(0,3.25)\n", + "ax.set_xlim(279,321)\n", + "ax.tick_params(labelsize=fontsize)\n", + "\n", + "#mp.colorbar()\n", + "ax.set_facecolor('0.25')\n", + "\n", + "fig.tight_layout()\n", + "\n", + "geopot_mean = numpy.nanmean(geopot_400_latmean_timechunk/(g*1000.), axis=1)\n", + "uadiffs_mean = numpy.nanmean(ua_diffs_latmean_timechunk/ua_400_latmean_timechunk*100., axis=1)\n", + "\n", + "axpos = ax.get_position()\n", + "ax = fig.add_axes([axpos.x1,axpos.y0,0.333,axpos.height])\n", + "ax.set_ylim(0.,3.25)\n", + "ax.plot(uadiffs_mean, geopot_mean, color='firebrick')\n", + "ax.set_xlim(-15,21)\n", + "ax.set_xticks([-10,0,10,20])\n", + "ax.tick_params(labelsize=fontsize, direction='in', axis='y')\n", + "ax.tick_params(labelsize=fontsize, direction='out', axis='x')\n", + "ax.axvline(0, color='0.1', lw=0.5)\n", + "ax.yaxis.tick_right()\n", + "ax.yaxis.set_ticks_position('both')\n", + "\n", + "cbar_ax = fig.add_axes([axpos.x0,axpos.y0-0.175,axpos.width,0.05])\n", + "cbar = mp.colorbar(contour_plot, cax=cbar_ax, orientation='horizontal')\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('%', fontsize=fontsize)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 69, "metadata": { "ExecuteTime": { - "end_time": "2018-07-02T19:41:54.462171Z", - "start_time": "2018-07-02T19:41:50.811061Z" + "end_time": "2018-08-10T17:10:12.084025Z", + "start_time": "2018-08-10T17:10:08.090346Z" } }, "outputs": [ @@ -1240,7 +1654,7 @@ " fontsize=fontsize)\n", "\n", "\n", - "fig.savefig('png_files/moisture_clouds_temp_1500_pblh_1400_days2-10_pcoords.png', dpi=600, bbox_inches='tight')\n", + "fig.savefig('figures/moisture_clouds_temp_1500_pblh_1400_days2-10_pcoords.png', dpi=600, bbox_inches='tight')\n", "\n" ] }, @@ -3301,7 +3715,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.6.5" }, "varInspector": { "cols": { diff --git a/gp1_NOT_USED_FIRST_DAY_SENSITIVITY_moisture_pblh_diurnal_cycle.ipynb b/gp1_NOT_USED_FIRST_DAY_SENSITIVITY_moisture_pblh_diurnal_cycle.ipynb new file mode 100644 index 0000000..fcbbf69 --- /dev/null +++ b/gp1_NOT_USED_FIRST_DAY_SENSITIVITY_moisture_pblh_diurnal_cycle.ipynb @@ -0,0 +1,4711 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import stuff" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T20:10:33.373806Z", + "start_time": "2018-06-14T20:10:33.308353Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import glob\n", + "import netCDF4\n", + "import pandas\n", + "import wrf\n", + "import string\n", + "import seaborn\n", + "import matplotlib.colors\n", + "import cmocean\n", + "\n", + "import cartopy\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# open control data" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T05:57:02.847724Z", + "start_time": "2018-06-14T05:57:02.641368Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_with_extras/'\n", + "file_list = sorted(glob.glob(root_dir+'/'+'wrfout*'))\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T05:57:07.212654Z", + "start_time": "2018-06-14T05:57:02.939773Z" + } + }, + "outputs": [], + "source": [ + "cont_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T05:58:04.167749Z", + "start_time": "2018-06-14T05:57:07.222605Z" + } + }, + "outputs": [], + "source": [ + "ptot_400 = numpy.load('DATA_ptot_400_sensitivity.npy')\n", + "tk_400 = numpy.load('DATA_tk_400_sensitivity.npy')\n", + "#ua_400 = numpy.load('DATA_ua_400.npy')\n", + "#wa_400 = numpy.load('DATA_wa_400.npy')\n", + "geopot_400 = numpy.load('DATA_geopot_400_sensitivity.npy')\n", + "mse_400 = numpy.load('DATA_mse_400_sensitivity.npy')" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T05:58:04.641225Z", + "start_time": "2018-06-14T05:58:04.627808Z" + } + }, + "outputs": [], + "source": [ + "rainc_400 = cont_mfds['RAINC']\n", + "rainnc_400 = cont_mfds['RAINNC']\n", + "qvapor_400 = cont_mfds['QVAPOR']\n", + "w_400 = cont_mfds['W']\n", + "u_400 = cont_mfds['U']\n", + "pblh_400 = cont_mfds['PBLH']\n", + "phb_400 = cont_mfds['PHB']\n", + "qcloud_400 = cont_mfds['QCLOUD']\n", + "cldfra_400 = cont_mfds['CLDFRA']\n", + "deltaysu_400 = cont_mfds['DELTA_YSU']" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:22:19.908230Z", + "start_time": "2018-06-16T01:22:19.902072Z" + } + }, + "outputs": [], + "source": [ + "qrain_400 = cont_mfds['QRAIN']" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T05:58:37.066621Z", + "start_time": "2018-06-14T05:58:05.111546Z" + } + }, + "outputs": [], + "source": [ + "time = cont_mfds['Times'].values\n", + "xlat = cont_mfds['XLAT'].values[0,:,:]\n", + "xlong = cont_mfds['XLONG'].values[0,:,:]\n", + "landmask = cont_mfds['LANDMASK'].values[0,:,:]\n", + "landmask_midpoints = landmask[1:,1:]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# open phys data" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T05:58:38.978292Z", + "start_time": "2018-06-14T05:58:38.018222Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_with_extras'\n", + "file_list = sorted(glob.glob(root_dir+'/'+'wrfout*'))\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T05:58:45.648385Z", + "start_time": "2018-06-14T05:58:38.986634Z" + } + }, + "outputs": [], + "source": [ + "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:00:42.493093Z", + "start_time": "2018-06-14T05:58:47.029912Z" + } + }, + "outputs": [], + "source": [ + "ptot_1000 = numpy.load('DATA_ptot_1000_sensitivity.npy')\n", + "#ua_1000 = numpy.load('DATA_ua_1000_sensitivity.npy')\n", + "#wa_1000 = numpy.load('DATA_wa_1000_sensitivity.npy')\n", + "tk_1000 = numpy.load('DATA_tk_1000_sensitivity.npy')\n", + "mse_1000 = numpy.load('DATA_mse_1000_sensitivity.npy')" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:00:42.515478Z", + "start_time": "2018-06-14T06:00:42.501747Z" + } + }, + "outputs": [], + "source": [ + "rainc_1000 = phys_mfds['RAINC']\n", + "rainnc_1000 = phys_mfds['RAINNC']\n", + "qvapor_1000 = phys_mfds['QVAPOR']\n", + "w_1000 = phys_mfds['W']\n", + "u_1000 = phys_mfds['U']\n", + "pblh_1000 = phys_mfds['PBLH']\n", + "phb_1000 = phys_mfds['PHB']\n", + "qcloud_1000 = phys_mfds['QCLOUD']\n", + "cldfra_1000 = phys_mfds['CLDFRA']\n", + "deltaysu_1000 = phys_mfds['DELTA_YSU']" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:22:08.388270Z", + "start_time": "2018-06-16T01:22:08.379781Z" + } + }, + "outputs": [], + "source": [ + "qrain_1000 = phys_mfds['QRAIN']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# get time data" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:00:44.184633Z", + "start_time": "2018-06-14T06:00:44.169174Z" + } + }, + "outputs": [], + "source": [ + "time_datetimes = pandas.to_datetime([i.decode('utf-8') for i in time], format = '%Y-%m-%d_%H:%M:%S')" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:00:44.373886Z", + "start_time": "2018-06-14T06:00:44.192837Z" + } + }, + "outputs": [], + "source": [ + "skip_time = 24\n", + "n_intervals = 8\n", + "hour_strings = ['06','09','12','15','18','21','00','03']\n", + "hour_strings_local = ['02', '05', '08', '11', '14', '17','20', '23']\n", + "\n", + "times_00 = [t.hour in [23,0,1] for t in time_datetimes[skip_time:]]\n", + "times_03 = [t.hour in [2,3,4] for t in time_datetimes[skip_time:]]\n", + "times_06 = [t.hour in [5,6,7] for t in time_datetimes[skip_time:]]\n", + "times_09 = [t.hour in [8,9,10] for t in time_datetimes[skip_time:]]\n", + "times_12 = [t.hour in [11,12,13] for t in time_datetimes[skip_time:]]\n", + "times_15 = [t.hour in [14,15,16] for t in time_datetimes[skip_time:]]\n", + "times_18 = [t.hour in [17,18,19] for t in time_datetimes[skip_time:]]\n", + "times_21 = [t.hour in [20,21,22] for t in time_datetimes[skip_time:]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# lat indices" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:00:46.035714Z", + "start_time": "2018-06-14T06:00:46.029599Z" + } + }, + "outputs": [], + "source": [ + "lat_hi = 10.\n", + "lat_lo = -10.\n", + "\n", + "# subset between lat_hi and lat_lo\n", + "lat_indices = (xlat<=lat_hi)&(xlat>=lat_lo)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:00:46.876824Z", + "start_time": "2018-06-14T06:00:46.871744Z" + } + }, + "outputs": [], + "source": [ + "g = 9.80665" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PBLH diffs" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:01:11.030144Z", + "start_time": "2018-06-14T06:00:47.713182Z" + } + }, + "outputs": [], + "source": [ + "pblh_diffs = pblh_1000.values-pblh_400.values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# mse" + ] + }, + { + "cell_type": "code", + "execution_count": 175, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T02:45:05.441917Z", + "start_time": "2018-06-16T02:40:31.935108Z" + } + }, + "outputs": [], + "source": [ + "mse_diffs = mse_1000-mse_400\n", + "\n", + "mse_diffs_landmask = numpy.copy(mse_diffs)\n", + "mse_diffs_landmask[:,:,landmask==1]=numpy.nan\n", + "\n", + "mse_diffs_lat_subset = mse_diffs[:,:,lat_indices[:,0],:]\n", + "\n", + "mse_400_landmask = numpy.copy(mse_400)\n", + "mse_400_landmask[:,:,landmask==1]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 176, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T02:45:31.258813Z", + "start_time": "2018-06-16T02:45:14.600027Z" + } + }, + "outputs": [], + "source": [ + "mse_400_lat_subset = mse_400[:,:,lat_indices[:,0],:]\n", + "mse_diffs_lat_mean = numpy.nanmean(mse_diffs_lat_subset, axis=2)\n", + "mse_400_lat_mean = numpy.nanmean(mse_400_lat_subset, axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# qvapor" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:04:15.715619Z", + "start_time": "2018-06-14T06:01:11.871972Z" + } + }, + "outputs": [], + "source": [ + "qvapor_diffs = qvapor_1000.values-qvapor_400.values\n", + "\n", + "qvapor_diffs_landmask = numpy.copy(qvapor_diffs)\n", + "qvapor_diffs_landmask[:,:,landmask==1]=numpy.nan\n", + "\n", + "qvapor_diffs_lat_subset = qvapor_diffs[:,:,lat_indices[:,0],:]\n", + "\n", + "qvapor_400_landmask = numpy.copy(qvapor_400)\n", + "qvapor_400_landmask[:,:,landmask==1]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:04:33.131950Z", + "start_time": "2018-06-14T06:04:15.724744Z" + } + }, + "outputs": [], + "source": [ + "qvapor_400_lat_subset = qvapor_400[:,:,lat_indices[:,0],:]\n", + "qvapor_diffs_lat_mean = numpy.nanmean(qvapor_diffs_lat_subset, axis=2)\n", + "qvapor_400_lat_mean = numpy.nanmean(qvapor_400_lat_subset, axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# qcloud" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:08:12.262490Z", + "start_time": "2018-06-14T06:04:35.084316Z" + } + }, + "outputs": [], + "source": [ + "qcloud_diffs = qcloud_1000.values-qcloud_400.values\n", + "\n", + "qcloud_diffs_landmask = numpy.copy(qcloud_diffs)\n", + "qcloud_diffs_landmask[:,:,landmask==1]=numpy.nan\n", + "\n", + "qcloud_diffs_lat_subset = qcloud_diffs[:,:,lat_indices[:,0],:]\n", + "\n", + "qcloud_400_landmask = numpy.copy(qcloud_400)\n", + "qcloud_400_landmask[:,:,landmask==1]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:08:30.693908Z", + "start_time": "2018-06-14T06:08:13.491788Z" + } + }, + "outputs": [], + "source": [ + "qcloud_400_lat_subset = qcloud_400[:,:,lat_indices[:,0],:]\n", + "qcloud_diffs_lat_mean = numpy.nanmean(qcloud_diffs_lat_subset, axis=2)\n", + "qcloud_400_lat_mean = numpy.nanmean(qcloud_400_lat_subset, axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# qrain" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:27:48.354538Z", + "start_time": "2018-06-16T01:23:08.233058Z" + } + }, + "outputs": [], + "source": [ + "qrain_diffs = qrain_1000.values-qrain_400.values\n", + "\n", + "qrain_diffs_landmask = numpy.copy(qrain_diffs)\n", + "qrain_diffs_landmask[:,:,landmask==1]=numpy.nan\n", + "\n", + "qrain_diffs_lat_subset = qrain_diffs[:,:,lat_indices[:,0],:]\n", + "\n", + "qrain_400_landmask = numpy.copy(qrain_400)\n", + "qrain_400_landmask[:,:,landmask==1]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:28:18.079350Z", + "start_time": "2018-06-16T01:27:56.820402Z" + } + }, + "outputs": [], + "source": [ + "qrain_400_lat_subset = qrain_400[:,:,lat_indices[:,0],:]\n", + "qrain_diffs_lat_mean = numpy.nanmean(qrain_diffs_lat_subset, axis=2)\n", + "qrain_400_lat_mean = numpy.nanmean(qrain_400_lat_subset, axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# cldfra" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:19:13.611597Z", + "start_time": "2018-06-14T06:08:31.797511Z" + } + }, + "outputs": [], + "source": [ + "cldfra_diffs = cldfra_1000.values-cldfra_400.values\n", + "\n", + "cldfra_diffs_landmask = numpy.copy(cldfra_diffs)\n", + "cldfra_diffs_landmask[:,:,landmask==1]=numpy.nan\n", + "\n", + "cldfra_diffs_lat_subset = cldfra_diffs[:,:,lat_indices[:,0],:]\n", + "\n", + "cldfra_400_landmask = numpy.copy(cldfra_400)\n", + "cldfra_400_landmask[:,:,landmask==1]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:20:20.509608Z", + "start_time": "2018-06-14T06:19:14.812532Z" + } + }, + "outputs": [], + "source": [ + "cldfra_400_lat_subset = cldfra_400[:,:,lat_indices[:,0],:]\n", + "cldfra_diffs_lat_mean = numpy.nanmean(cldfra_diffs_lat_subset, axis=2)\n", + "cldfra_400_lat_mean = numpy.nanmean(cldfra_400_lat_subset, axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# wa and ua diffs" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:20:59.146253Z", + "start_time": "2018-06-14T06:20:21.721897Z" + } + }, + "outputs": [], + "source": [ + "ua_diffs = ua_1000-ua_400\n", + "wa_diffs = wa_1000-wa_400" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:21:14.141409Z", + "start_time": "2018-06-14T06:20:59.154611Z" + } + }, + "outputs": [], + "source": [ + "ua_diffs_lat_subset = ua_diffs[:,:,lat_indices[:,0],:]\n", + "ua_400_lat_subset = ua_400[:,:,lat_indices[:,0],:]\n", + "\n", + "wa_diffs_lat_subset = wa_diffs[:,:,lat_indices[:,0],:]\n", + "wa_400_lat_subset = wa_400[:,:,lat_indices[:,0],:]" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:22:24.470162Z", + "start_time": "2018-06-14T06:21:15.531018Z" + } + }, + "outputs": [], + "source": [ + "ua_diffs_lat_mean = numpy.nanmean(ua_diffs_lat_subset, axis=2)\n", + "wa_diffs_lat_mean = numpy.nanmean(wa_diffs_lat_subset, axis=2)\n", + "\n", + "ua_400_lat_mean = numpy.nanmean(ua_400_lat_subset, axis=2)\n", + "wa_400_lat_mean = numpy.nanmean(wa_400_lat_subset, axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# tk" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:22:47.013642Z", + "start_time": "2018-06-14T06:22:27.305473Z" + } + }, + "outputs": [], + "source": [ + "tk_diffs = tk_1000 - tk_400" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:22:55.265428Z", + "start_time": "2018-06-14T06:22:48.462766Z" + } + }, + "outputs": [], + "source": [ + "tk_diffs_lat_subset = tk_diffs[:,:,lat_indices[:,0],:]\n", + "tk_400_lat_subset = tk_400[:,:,lat_indices[:,0],:]" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:23:25.730247Z", + "start_time": "2018-06-14T06:22:55.273810Z" + } + }, + "outputs": [], + "source": [ + "tk_diffs_lat_mean = numpy.nanmean(tk_diffs_lat_subset, axis=2)\n", + "tk_400_lat_mean = numpy.nanmean(tk_400_lat_subset, axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# geopotential" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:23:59.233736Z", + "start_time": "2018-06-14T06:23:28.881655Z" + } + }, + "outputs": [], + "source": [ + "geopot_400_landmask = numpy.copy(geopot_400)\n", + "geopot_400_landmask[:,:,landmask==1]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:11.121599Z", + "start_time": "2018-06-14T06:24:00.789029Z" + } + }, + "outputs": [], + "source": [ + "geopot_400_lat_subset = geopot_400[:,:,lat_indices[:,0],:]\n", + "geopot_400_lat_mean = numpy.nanmean(geopot_400_lat_subset, axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# pblh" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:19.846014Z", + "start_time": "2018-06-14T06:24:12.714537Z" + } + }, + "outputs": [], + "source": [ + "pblh_diffs_landmask = numpy.copy(pblh_diffs)\n", + "pblh_diffs_landmask[:,landmask==0]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:26.075221Z", + "start_time": "2018-06-14T06:24:21.449325Z" + } + }, + "outputs": [], + "source": [ + "pblh_400_landmask = numpy.copy(pblh_400)\n", + "pblh_400_landmask[:,landmask==0]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:28.572763Z", + "start_time": "2018-06-14T06:24:27.803955Z" + } + }, + "outputs": [], + "source": [ + "pblh_1000_landmask = numpy.copy(pblh_1000)\n", + "pblh_1000_landmask[:,landmask==0]=numpy.nan" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Set lontidues west of 290º equal to NaN so that Andes don't have a weird boundary layer" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:30.197366Z", + "start_time": "2018-06-14T06:24:30.191401Z" + } + }, + "outputs": [], + "source": [ + "lon_lo = 290-360\n", + "lon_hi = 320-360\n", + "lon_indices = (xlong[0,:]lon_hi)" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:33.391654Z", + "start_time": "2018-06-14T06:24:31.812024Z" + } + }, + "outputs": [], + "source": [ + "pblh_diffs_lat_subset = pblh_diffs_landmask[:,lat_indices[:,0],:]\n", + "pblh_400_lat_subset = pblh_400_landmask[:,lat_indices[:,0],:]\n", + "pblh_1000_lat_subset = pblh_1000_landmask[:,lat_indices[:,0],:]\n", + "\n", + "pblh_400_lat_subset[:,:,lon_indices]=numpy.nan\n", + "pblh_1000_lat_subset[:,:,lon_indices]=numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:33.578899Z", + "start_time": "2018-06-14T06:24:33.400048Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + " \n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", + " This is separate from the ipykernel package so we can avoid doing imports until\n" + ] + } + ], + "source": [ + "pblh_diffs_lat_mean = numpy.nanmean(pblh_diffs_lat_subset, axis=1)\n", + "pblh_400_lat_mean = numpy.nanmean(pblh_400_lat_subset, axis=1)\n", + "pblh_1000_lat_mean = numpy.nanmean(pblh_1000_lat_subset, axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3 hourly means of ua" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:36.869927Z", + "start_time": "2018-06-14T06:24:36.852443Z" + } + }, + "outputs": [], + "source": [ + "ua_400_t00mean = numpy.mean(ua_400_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "ua_400_t03mean = numpy.mean(ua_400_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "ua_400_t06mean = numpy.mean(ua_400_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "ua_400_t09mean = numpy.mean(ua_400_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "ua_400_t12mean = numpy.mean(ua_400_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "ua_400_t15mean = numpy.mean(ua_400_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "ua_400_t18mean = numpy.mean(ua_400_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "ua_400_t21mean = numpy.mean(ua_400_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "ua_400_array = numpy.array([ua_400_t06mean, ua_400_t09mean, ua_400_t12mean, ua_400_t15mean, ua_400_t18mean, ua_400_t21mean, ua_400_t00mean, ua_400_t03mean])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:36.989686Z", + "start_time": "2018-06-14T06:24:36.878352Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "ua_diffs_t00mean = numpy.mean(ua_diffs_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "ua_diffs_t03mean = numpy.mean(ua_diffs_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "ua_diffs_t06mean = numpy.mean(ua_diffs_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "ua_diffs_t09mean = numpy.mean(ua_diffs_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "ua_diffs_t12mean = numpy.mean(ua_diffs_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "ua_diffs_t15mean = numpy.mean(ua_diffs_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "ua_diffs_t18mean = numpy.mean(ua_diffs_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "ua_diffs_t21mean = numpy.mean(ua_diffs_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "ua_diffs_array = numpy.array([ua_diffs_t06mean, ua_diffs_t09mean, ua_diffs_t12mean, ua_diffs_t15mean, ua_diffs_t18mean, ua_diffs_t21mean, ua_diffs_t00mean, ua_diffs_t03mean])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3 hourly means of wa" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:40.469584Z", + "start_time": "2018-06-14T06:24:40.451789Z" + } + }, + "outputs": [], + "source": [ + "wa_400_t00mean = numpy.mean(wa_400_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "wa_400_t03mean = numpy.mean(wa_400_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "wa_400_t06mean = numpy.mean(wa_400_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "wa_400_t09mean = numpy.mean(wa_400_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "wa_400_t12mean = numpy.mean(wa_400_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "wa_400_t15mean = numpy.mean(wa_400_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "wa_400_t18mean = numpy.mean(wa_400_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "wa_400_t21mean = numpy.mean(wa_400_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "wa_400_array = numpy.array([wa_400_t06mean, wa_400_t09mean, wa_400_t12mean, wa_400_t15mean, wa_400_t18mean, wa_400_t21mean, wa_400_t00mean, wa_400_t03mean])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:40.613573Z", + "start_time": "2018-06-14T06:24:40.478015Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "wa_diffs_t00mean = numpy.mean(wa_diffs_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "wa_diffs_t03mean = numpy.mean(wa_diffs_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "wa_diffs_t06mean = numpy.mean(wa_diffs_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "wa_diffs_t09mean = numpy.mean(wa_diffs_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "wa_diffs_t12mean = numpy.mean(wa_diffs_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "wa_diffs_t15mean = numpy.mean(wa_diffs_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "wa_diffs_t18mean = numpy.mean(wa_diffs_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "wa_diffs_t21mean = numpy.mean(wa_diffs_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "wa_diffs_array = numpy.array([wa_diffs_t06mean, wa_diffs_t09mean, wa_diffs_t12mean, wa_diffs_t15mean, wa_diffs_t18mean, wa_diffs_t21mean, wa_diffs_t00mean, wa_diffs_t03mean])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3 hourly means of tk" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:44.039399Z", + "start_time": "2018-06-14T06:24:44.021860Z" + } + }, + "outputs": [], + "source": [ + "tk_400_t00mean = numpy.mean(tk_400_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "tk_400_t03mean = numpy.mean(tk_400_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "tk_400_t06mean = numpy.mean(tk_400_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "tk_400_t09mean = numpy.mean(tk_400_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "tk_400_t12mean = numpy.mean(tk_400_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "tk_400_t15mean = numpy.mean(tk_400_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "tk_400_t18mean = numpy.mean(tk_400_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "tk_400_t21mean = numpy.mean(tk_400_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "tk_400_array = numpy.array([tk_400_t06mean, tk_400_t09mean, tk_400_t12mean, tk_400_t15mean, tk_400_t18mean, tk_400_t21mean, tk_400_t00mean, tk_400_t03mean])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:44.200630Z", + "start_time": "2018-06-14T06:24:44.047829Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "tk_diffs_t00mean = numpy.mean(tk_diffs_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "tk_diffs_t03mean = numpy.mean(tk_diffs_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "tk_diffs_t06mean = numpy.mean(tk_diffs_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "tk_diffs_t09mean = numpy.mean(tk_diffs_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "tk_diffs_t12mean = numpy.mean(tk_diffs_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "tk_diffs_t15mean = numpy.mean(tk_diffs_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "tk_diffs_t18mean = numpy.mean(tk_diffs_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "tk_diffs_t21mean = numpy.mean(tk_diffs_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "tk_diffs_array = numpy.array([tk_diffs_t06mean, tk_diffs_t09mean, tk_diffs_t12mean, tk_diffs_t15mean, tk_diffs_t18mean, tk_diffs_t21mean, tk_diffs_t00mean, tk_diffs_t03mean])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3 hourly means of mse" + ] + }, + { + "cell_type": "code", + "execution_count": 177, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T02:45:40.832565Z", + "start_time": "2018-06-16T02:45:40.814120Z" + } + }, + "outputs": [], + "source": [ + "mse_400_t00mean = numpy.mean(mse_400_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "mse_400_t03mean = numpy.mean(mse_400_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "mse_400_t06mean = numpy.mean(mse_400_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "mse_400_t09mean = numpy.mean(mse_400_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "mse_400_t12mean = numpy.mean(mse_400_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "mse_400_t15mean = numpy.mean(mse_400_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "mse_400_t18mean = numpy.mean(mse_400_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "mse_400_t21mean = numpy.mean(mse_400_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "mse_400_array = numpy.array([mse_400_t06mean, mse_400_t09mean, mse_400_t12mean, mse_400_t15mean, mse_400_t18mean, mse_400_t21mean, mse_400_t00mean, mse_400_t03mean])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 178, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T02:45:50.883304Z", + "start_time": "2018-06-16T02:45:50.864108Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "mse_diffs_t00mean = numpy.mean(mse_diffs_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "mse_diffs_t03mean = numpy.mean(mse_diffs_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "mse_diffs_t06mean = numpy.mean(mse_diffs_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "mse_diffs_t09mean = numpy.mean(mse_diffs_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "mse_diffs_t12mean = numpy.mean(mse_diffs_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "mse_diffs_t15mean = numpy.mean(mse_diffs_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "mse_diffs_t18mean = numpy.mean(mse_diffs_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "mse_diffs_t21mean = numpy.mean(mse_diffs_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "mse_diffs_array = numpy.array([mse_diffs_t06mean, mse_diffs_t09mean, mse_diffs_t12mean, mse_diffs_t15mean, mse_diffs_t18mean, mse_diffs_t21mean, mse_diffs_t00mean, mse_diffs_t03mean])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3 hourly means of qvapor" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:47.816288Z", + "start_time": "2018-06-14T06:24:47.797831Z" + } + }, + "outputs": [], + "source": [ + "qvapor_400_t00mean = numpy.mean(qvapor_400_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "qvapor_400_t03mean = numpy.mean(qvapor_400_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "qvapor_400_t06mean = numpy.mean(qvapor_400_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "qvapor_400_t09mean = numpy.mean(qvapor_400_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "qvapor_400_t12mean = numpy.mean(qvapor_400_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "qvapor_400_t15mean = numpy.mean(qvapor_400_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "qvapor_400_t18mean = numpy.mean(qvapor_400_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "qvapor_400_t21mean = numpy.mean(qvapor_400_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "qvapor_400_array = numpy.array([qvapor_400_t06mean, qvapor_400_t09mean, qvapor_400_t12mean, qvapor_400_t15mean, qvapor_400_t18mean, qvapor_400_t21mean, qvapor_400_t00mean, qvapor_400_t03mean])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:47.967095Z", + "start_time": "2018-06-14T06:24:47.824733Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "qvapor_diffs_t00mean = numpy.mean(qvapor_diffs_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "qvapor_diffs_t03mean = numpy.mean(qvapor_diffs_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "qvapor_diffs_t06mean = numpy.mean(qvapor_diffs_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "qvapor_diffs_t09mean = numpy.mean(qvapor_diffs_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "qvapor_diffs_t12mean = numpy.mean(qvapor_diffs_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "qvapor_diffs_t15mean = numpy.mean(qvapor_diffs_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "qvapor_diffs_t18mean = numpy.mean(qvapor_diffs_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "qvapor_diffs_t21mean = numpy.mean(qvapor_diffs_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "qvapor_diffs_array = numpy.array([qvapor_diffs_t06mean, qvapor_diffs_t09mean, qvapor_diffs_t12mean, qvapor_diffs_t15mean, qvapor_diffs_t18mean, qvapor_diffs_t21mean, qvapor_diffs_t00mean, qvapor_diffs_t03mean])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3 hourly means of qrain" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:28:26.645384Z", + "start_time": "2018-06-16T01:28:26.580793Z" + } + }, + "outputs": [], + "source": [ + "qrain_400_t00mean = numpy.mean(qrain_400_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "qrain_400_t03mean = numpy.mean(qrain_400_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "qrain_400_t06mean = numpy.mean(qrain_400_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "qrain_400_t09mean = numpy.mean(qrain_400_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "qrain_400_t12mean = numpy.mean(qrain_400_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "qrain_400_t15mean = numpy.mean(qrain_400_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "qrain_400_t18mean = numpy.mean(qrain_400_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "qrain_400_t21mean = numpy.mean(qrain_400_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "qrain_400_array = numpy.array([qrain_400_t06mean, qrain_400_t09mean, qrain_400_t12mean, qrain_400_t15mean, qrain_400_t18mean, qrain_400_t21mean, qrain_400_t00mean, qrain_400_t03mean])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 142, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:28:35.252578Z", + "start_time": "2018-06-16T01:28:35.191414Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "qrain_diffs_t00mean = numpy.mean(qrain_diffs_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "qrain_diffs_t03mean = numpy.mean(qrain_diffs_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "qrain_diffs_t06mean = numpy.mean(qrain_diffs_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "qrain_diffs_t09mean = numpy.mean(qrain_diffs_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "qrain_diffs_t12mean = numpy.mean(qrain_diffs_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "qrain_diffs_t15mean = numpy.mean(qrain_diffs_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "qrain_diffs_t18mean = numpy.mean(qrain_diffs_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "qrain_diffs_t21mean = numpy.mean(qrain_diffs_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "qrain_diffs_array = numpy.array([qrain_diffs_t06mean, qrain_diffs_t09mean, qrain_diffs_t12mean, qrain_diffs_t15mean, qrain_diffs_t18mean, qrain_diffs_t21mean, qrain_diffs_t00mean, qrain_diffs_t03mean])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3 hourly means of qcloud" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:51.518162Z", + "start_time": "2018-06-14T06:24:51.500132Z" + } + }, + "outputs": [], + "source": [ + "qcloud_400_t00mean = numpy.mean(qcloud_400_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "qcloud_400_t03mean = numpy.mean(qcloud_400_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "qcloud_400_t06mean = numpy.mean(qcloud_400_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "qcloud_400_t09mean = numpy.mean(qcloud_400_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "qcloud_400_t12mean = numpy.mean(qcloud_400_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "qcloud_400_t15mean = numpy.mean(qcloud_400_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "qcloud_400_t18mean = numpy.mean(qcloud_400_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "qcloud_400_t21mean = numpy.mean(qcloud_400_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "qcloud_400_array = numpy.array([qcloud_400_t06mean, qcloud_400_t09mean, qcloud_400_t12mean, qcloud_400_t15mean, qcloud_400_t18mean, qcloud_400_t21mean, qcloud_400_t00mean, qcloud_400_t03mean])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:51.614058Z", + "start_time": "2018-06-14T06:24:51.526640Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "qcloud_diffs_t00mean = numpy.mean(qcloud_diffs_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "qcloud_diffs_t03mean = numpy.mean(qcloud_diffs_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "qcloud_diffs_t06mean = numpy.mean(qcloud_diffs_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "qcloud_diffs_t09mean = numpy.mean(qcloud_diffs_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "qcloud_diffs_t12mean = numpy.mean(qcloud_diffs_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "qcloud_diffs_t15mean = numpy.mean(qcloud_diffs_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "qcloud_diffs_t18mean = numpy.mean(qcloud_diffs_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "qcloud_diffs_t21mean = numpy.mean(qcloud_diffs_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "qcloud_diffs_array = numpy.array([qcloud_diffs_t06mean, qcloud_diffs_t09mean, qcloud_diffs_t12mean, qcloud_diffs_t15mean, qcloud_diffs_t18mean, qcloud_diffs_t21mean, qcloud_diffs_t00mean, qcloud_diffs_t03mean])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3 hourly cldfra means" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:55.226835Z", + "start_time": "2018-06-14T06:24:55.208300Z" + } + }, + "outputs": [], + "source": [ + "cldfra_400_t00mean = numpy.mean(cldfra_400_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "cldfra_400_t03mean = numpy.mean(cldfra_400_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "cldfra_400_t06mean = numpy.mean(cldfra_400_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "cldfra_400_t09mean = numpy.mean(cldfra_400_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "cldfra_400_t12mean = numpy.mean(cldfra_400_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "cldfra_400_t15mean = numpy.mean(cldfra_400_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "cldfra_400_t18mean = numpy.mean(cldfra_400_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "cldfra_400_t21mean = numpy.mean(cldfra_400_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "cldfra_400_array = numpy.array([cldfra_400_t06mean, cldfra_400_t09mean, cldfra_400_t12mean, cldfra_400_t15mean, cldfra_400_t18mean, cldfra_400_t21mean, cldfra_400_t00mean, cldfra_400_t03mean])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:55.330527Z", + "start_time": "2018-06-14T06:24:55.235279Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "cldfra_diffs_t00mean = numpy.mean(cldfra_diffs_lat_mean[skip_time:,:,:][times_00,:,:], axis=0)\n", + "cldfra_diffs_t03mean = numpy.mean(cldfra_diffs_lat_mean[skip_time:,:,:][times_03,:,:], axis=0)\n", + "cldfra_diffs_t06mean = numpy.mean(cldfra_diffs_lat_mean[skip_time:,:,:][times_06,:,:], axis=0)\n", + "cldfra_diffs_t09mean = numpy.mean(cldfra_diffs_lat_mean[skip_time:,:,:][times_09,:,:], axis=0)\n", + "cldfra_diffs_t12mean = numpy.mean(cldfra_diffs_lat_mean[skip_time:,:,:][times_12,:,:], axis=0)\n", + "cldfra_diffs_t15mean = numpy.mean(cldfra_diffs_lat_mean[skip_time:,:,:][times_15,:,:], axis=0)\n", + "cldfra_diffs_t18mean = numpy.mean(cldfra_diffs_lat_mean[skip_time:,:,:][times_18,:,:], axis=0)\n", + "cldfra_diffs_t21mean = numpy.mean(cldfra_diffs_lat_mean[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "cldfra_diffs_array = numpy.array([cldfra_diffs_t06mean, cldfra_diffs_t09mean, cldfra_diffs_t12mean, cldfra_diffs_t15mean, cldfra_diffs_t18mean, cldfra_diffs_t21mean, cldfra_diffs_t00mean, cldfra_diffs_t03mean])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3 hourly means of pblh" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:59.102823Z", + "start_time": "2018-06-14T06:24:59.085443Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "pblh_400_t00mean = numpy.mean(pblh_400_lat_mean[skip_time:][times_00,:], axis=0)\n", + "pblh_400_t03mean = numpy.mean(pblh_400_lat_mean[skip_time:][times_03,:], axis=0)\n", + "pblh_400_t06mean = numpy.mean(pblh_400_lat_mean[skip_time:][times_06,:], axis=0)\n", + "pblh_400_t09mean = numpy.mean(pblh_400_lat_mean[skip_time:][times_09,:], axis=0)\n", + "pblh_400_t12mean = numpy.mean(pblh_400_lat_mean[skip_time:][times_12,:], axis=0)\n", + "pblh_400_t15mean = numpy.mean(pblh_400_lat_mean[skip_time:][times_15,:], axis=0)\n", + "pblh_400_t18mean = numpy.mean(pblh_400_lat_mean[skip_time:][times_18,:], axis=0)\n", + "pblh_400_t21mean = numpy.mean(pblh_400_lat_mean[skip_time:][times_21,:], axis=0)\n", + "\n", + "pblh_1000_t00mean = numpy.mean(pblh_1000_lat_mean[skip_time:][times_00,:], axis=0)\n", + "pblh_1000_t03mean = numpy.mean(pblh_1000_lat_mean[skip_time:][times_03,:], axis=0)\n", + "pblh_1000_t06mean = numpy.mean(pblh_1000_lat_mean[skip_time:][times_06,:], axis=0)\n", + "pblh_1000_t09mean = numpy.mean(pblh_1000_lat_mean[skip_time:][times_09,:], axis=0)\n", + "pblh_1000_t12mean = numpy.mean(pblh_1000_lat_mean[skip_time:][times_12,:], axis=0)\n", + "pblh_1000_t15mean = numpy.mean(pblh_1000_lat_mean[skip_time:][times_15,:], axis=0)\n", + "pblh_1000_t18mean = numpy.mean(pblh_1000_lat_mean[skip_time:][times_18,:], axis=0)\n", + "pblh_1000_t21mean = numpy.mean(pblh_1000_lat_mean[skip_time:][times_21,:], axis=0)\n", + "\n", + "pblh_400_array = numpy.array([pblh_400_t06mean, pblh_400_t09mean, pblh_400_t12mean, pblh_400_t15mean, pblh_400_t18mean, pblh_400_t21mean, pblh_400_t00mean, pblh_400_t03mean])\n", + "pblh_1000_array = numpy.array([pblh_1000_t06mean, pblh_1000_t09mean, pblh_1000_t12mean, pblh_1000_t15mean, pblh_1000_t18mean, pblh_1000_t21mean, pblh_1000_t00mean, pblh_1000_t03mean])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:24:59.240883Z", + "start_time": "2018-06-14T06:24:59.110884Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "pblh_diffs_t00mean = numpy.mean(pblh_diffs_landmask[skip_time:,:,:][times_00,:,:], axis=0)\n", + "pblh_diffs_t03mean = numpy.mean(pblh_diffs_landmask[skip_time:,:,:][times_03,:,:], axis=0)\n", + "pblh_diffs_t06mean = numpy.mean(pblh_diffs_landmask[skip_time:,:,:][times_06,:,:], axis=0)\n", + "pblh_diffs_t09mean = numpy.mean(pblh_diffs_landmask[skip_time:,:,:][times_09,:,:], axis=0)\n", + "pblh_diffs_t12mean = numpy.mean(pblh_diffs_landmask[skip_time:,:,:][times_12,:,:], axis=0)\n", + "pblh_diffs_t15mean = numpy.mean(pblh_diffs_landmask[skip_time:,:,:][times_15,:,:], axis=0)\n", + "pblh_diffs_t18mean = numpy.mean(pblh_diffs_landmask[skip_time:,:,:][times_18,:,:], axis=0)\n", + "pblh_diffs_t21mean = numpy.mean(pblh_diffs_landmask[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "pblh_diffs_2d_array = numpy.array([pblh_diffs_t06mean, pblh_diffs_t09mean, pblh_diffs_t12mean, pblh_diffs_t15mean, pblh_diffs_t18mean, pblh_diffs_t21mean, pblh_diffs_t00mean, pblh_diffs_t03mean])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:25:03.302252Z", + "start_time": "2018-06-14T06:25:03.244106Z" + } + }, + "outputs": [], + "source": [ + "# calculate 3 hourly means for 400\n", + "pblh_400_t00mean = numpy.mean(pblh_400_landmask[skip_time:,:,:][times_00,:,:], axis=0)\n", + "pblh_400_t03mean = numpy.mean(pblh_400_landmask[skip_time:,:,:][times_03,:,:], axis=0)\n", + "pblh_400_t06mean = numpy.mean(pblh_400_landmask[skip_time:,:,:][times_06,:,:], axis=0)\n", + "pblh_400_t09mean = numpy.mean(pblh_400_landmask[skip_time:,:,:][times_09,:,:], axis=0)\n", + "pblh_400_t12mean = numpy.mean(pblh_400_landmask[skip_time:,:,:][times_12,:,:], axis=0)\n", + "pblh_400_t15mean = numpy.mean(pblh_400_landmask[skip_time:,:,:][times_15,:,:], axis=0)\n", + "pblh_400_t18mean = numpy.mean(pblh_400_landmask[skip_time:,:,:][times_18,:,:], axis=0)\n", + "pblh_400_t21mean = numpy.mean(pblh_400_landmask[skip_time:,:,:][times_21,:,:], axis=0)\n", + "\n", + "pblh_400_2d_array = numpy.array([pblh_400_t06mean, pblh_400_t09mean, pblh_400_t12mean, pblh_400_t15mean, pblh_400_t18mean, pblh_400_t21mean, pblh_400_t00mean, pblh_400_t03mean])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## create grid" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:25:05.262878Z", + "start_time": "2018-06-14T06:25:05.256574Z" + } + }, + "outputs": [], + "source": [ + "xx,zz=numpy.meshgrid(xlong[0,:],geopot_400_lat_mean[0,:,:].mean(axis=1)/10000.)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "plot qvapor and wind climatologies" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T06:25:07.225765Z", + "start_time": "2018-06-14T06:25:07.209668Z" + } + }, + "outputs": [], + "source": [ + "# make color map\n", + "minval=0. # for inferno: 0.18\n", + "maxval=0.95 # for inferno: 1.0\n", + "n=256\n", + "full_cmap = mp.get_cmap('YlGnBu')\n", + "cmap_partial = matplotlib.colors.LinearSegmentedColormap.from_list(\\\n", + " 'trunc({n},{a:.2f},{b:.2f})'.format(n=full_cmap.name, a=minval, b=maxval),\\\n", + " full_cmap(numpy.linspace(minval, maxval, n)))" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-01T02:26:47.304640Z", + "start_time": "2018-06-01T02:26:13.941617Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "#nrows=4;ncols=2\n", + "#fig,axes = mp.subplots(nrows=nrows,ncols=ncols,subplot_kw={'projection': cartopy.crs.PlateCarree()})\n", + "#fig.set_size_inches(3.25,4)\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(5,17.51,2.5)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "z_indices=[1,3,5,7,8,9,10,11,12,13,14,15,16]\n", + "every_nth_lon=15\n", + "every_nth_z=1\n", + "quiver_scale = 1.5 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 5\n", + "quiver_color = 'orangered'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,geopot_400_lat_mean[0,:,:]/(g*1000.),qvapor_400_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=cmap_partial,extend='both')\n", + " \n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7)\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_400_array[t][z_indices,::every_nth_lon],\\\n", + " wa_400_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,\\\n", + " c='darkturquoise', \\\n", + " label='PBLH cont.', \\\n", + " zorder=3, lw=2)\n", + " \n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax_list.append(ax)\n", + " ax.set_facecolor('0.25')\n", + "\n", + "fig.tight_layout()\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar_axes.text(s='g kg$^{\\,-1}$', x=0.5, y=1.00666, transform=cbar_axes.transAxes, fontsize=fontsize, ha='center', va='bottom')\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-0.8,0.81,0.2))\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0., handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figure3supp_qvapor_400_cross_sections.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## plot qvapor" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-14T20:10:54.170377Z", + "start_time": "2018-06-14T20:10:45.494868Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.6,0.61,0.1)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qvapor_diffs_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=25),\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figure3_qvapor_pblh_cross_sections.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 182, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T02:52:21.442472Z", + "start_time": "2018-06-16T02:52:13.490147Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " mse_diffs_array[t]/1000.,\\\n", + " levels=levels,\\\n", + " cmap='PuOr_r',\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('kJ kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_mse_pblh_cross_sections.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## late morning/early afternoon version" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:12:22.587363Z", + "start_time": "2018-06-16T01:12:21.376087Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "gs = matplotlib.gridspec.GridSpec(2,2,width_ratios=[1,1],height_ratios=[1,1])\n", + "\n", + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(7.5,5))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.5,0.51,0.1)#75,.751,0.125)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "ax_list = []\n", + "\n", + "cmap_choice = seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=20)\n", + "##################################################\n", + "\n", + "t=3\n", + "ax = fig.add_subplot(gs[0])#, projection=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qvapor_diffs_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=cmap_choice,\\\n", + " extend='both')\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + "if t==4:\n", + " quiver_plot_for_key = quiver_plot\n", + "ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,3.25)\n", + "ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + "ax.set_yticks([0,1,2,3])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_ylabel('km', fontsize=fontsize)\n", + "ax.text(s='(a) late morning $\\Delta$moisture', x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "\n", + "##################################################\n", + "\n", + "t=4\n", + "ax = fig.add_subplot(gs[1])#, projection=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qvapor_diffs_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=cmap_choice,\\\n", + " extend='both')\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + "if t==4:\n", + " quiver_plot_for_key = quiver_plot\n", + "ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,3.25)\n", + "ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + "ax.set_yticks([0,1,2,3])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.text(s='(b) early afternoon $\\Delta$moisture', x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "\n", + "##################################################\n", + "\n", + "##################################################\n", + "#z_indices=[1,5,7,9,11,13,15,17,19,21,23]\n", + "cmap_choice = 'PuOr_r'\n", + "levels=numpy.arange(-1,1.1,0.2)\n", + "\n", + "t=3\n", + "ax = fig.add_subplot(gs[2])\n", + "contour_plot3 = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " tk_diffs_array[t],\\\n", + " levels=levels,\\\n", + " cmap=cmap_choice,\\\n", + " extend='both')\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + "ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,3.25)\n", + "ax.set_yticks([0,1,2,3])\n", + "ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + "ax.set_ylabel('km', fontsize=fontsize)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.text(s='(c) late morning $\\Delta$T', x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "\n", + "##################################################\n", + "\n", + "t=4\n", + "ax = fig.add_subplot(gs[3])#, projection=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " tk_diffs_array[t],\\\n", + " levels=levels,\\\n", + " cmap=cmap_choice,\\\n", + " extend='both')\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + "ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,3.25)\n", + "ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + "ax.set_yticks([0,1,2,3])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.text(s='(d) early afternoon $\\Delta$T', x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "\n", + "##################################################\n", + "\n", + "\n", + "fig.tight_layout()#w_pad=0, h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[-1].get_position()\n", + "cbar_axes1 = fig.add_axes([top_pos.x1+0.03, top_pos.y0, 0.025, top_pos.height])\n", + "cbar = mp.colorbar(contour_plot1, orientation='vertical', cax=cbar_axes1)\n", + "cbar_axes1.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[-1].get_position()\n", + "cbar_axes2 = fig.add_axes([bottom_pos.x1+0.03, bottom_pos.y0, 0.025, bottom_pos.height])\n", + "cbar = mp.colorbar(contour_plot4, orientation='vertical', cax=cbar_axes2)\n", + "cbar_axes2.tick_params(labelsize=fontsize)\n", + "cbar.set_label('$\\degree$C', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "#ax_list[0].yaxis.set_label_coords(-0.1,0.5)\n", + "#ax_list[2].yaxis.set_label_coords(-0.1,0.5)\n", + "\n", + "#seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=25)\n", + "#fig.savefig('manuscript_figure3_qvapor_pblh_cross_sections.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-15T01:19:53.827135Z", + "start_time": "2018-06-15T01:19:45.133282Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.3,0.31,0.05)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,5]+[i for i in range(7,29,2)]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qvapor_diffs_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=1),\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,20)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " #ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figure3_qvapor_pblh_cross_sections_upto20km.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# qrain differences" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:40:23.816931Z", + "start_time": "2018-06-16T01:40:16.754814Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.001,0.0011,0.0002)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qrain_diffs_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=25),\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_qrain_pblh_cross_sections.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 150, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:43:11.289102Z", + "start_time": "2018-06-16T01:43:04.616859Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.001,0.0011,0.0002)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,5]+[i for i in range(7,29,2)]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qrain_diffs_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=25),\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,16)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_yticks([0,5,10,15])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_qrain_pblh_cross_sections_upto16km.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# qcloud differences" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-01T02:28:32.282260Z", + "start_time": "2018-06-01T02:27:56.307319Z" + } + }, + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.05,0.051,0.01)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qcloud_diffs_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=15),\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_qcloud_pblh_cross_sections.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# cldfra differences" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-07T17:45:33.530435Z", + "start_time": "2018-06-07T17:44:56.133019Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-7,7.1,1)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " cldfra_diffs_array[t]*100.,\\\n", + " levels=levels,\\\n", + " cmap=cmocean.cm.balance_r,\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('%', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figure4_cldfra_pblh_cross_sections.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## cldfra morning and afternoon" + ] + }, + { + "cell_type": "code", + "execution_count": 170, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T02:14:58.087596Z", + "start_time": "2018-06-16T02:14:56.428882Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "gs = matplotlib.gridspec.GridSpec(3,2,width_ratios=[1,1],height_ratios=[1,1.5,1])\n", + "\n", + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(7.5,6.5))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-7.,7.1,1)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "ax_list = []\n", + "\n", + "cmap_choice = cmocean.cm.balance_r\n", + "##################################################\n", + "\n", + "t=3\n", + "ax = fig.add_subplot(gs[0])#, projection=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " cldfra_diffs_array[t]*100.,\\\n", + " levels=levels,\\\n", + " cmap=cmap_choice,\\\n", + " extend='both')\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + "if t==4:\n", + " quiver_plot_for_key = quiver_plot\n", + "ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,4)\n", + "ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + "ax.set_yticks([0,1,2,3,4])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_ylabel('km', fontsize=fontsize)\n", + "ax.text(s='(a) late morning', x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "\n", + "##################################################\n", + "\n", + "t=4\n", + "ax = fig.add_subplot(gs[1])#, projection=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " cldfra_diffs_array[t]*100.,\\\n", + " levels=levels,\\\n", + " cmap=cmap_choice,\\\n", + " extend='both')\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + "if t==4:\n", + " quiver_plot_for_key = quiver_plot\n", + "ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,4)\n", + "ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + "ax.set_yticks([0,1,2,3,4])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.text(s='(b) early afternoon', x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "\n", + "##################################################\n", + "\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "##################################################\n", + "z_indices=[1,5,7,9,11,13,15,17,19,21,23,25,27]\n", + "\n", + "t=3\n", + "ax = fig.add_subplot(gs[2])\n", + "contour_plot1 = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " cldfra_diffs_array[t]*100.,\\\n", + " levels=levels,\\\n", + " cmap=cmap_choice,\\\n", + " extend='both')\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + "ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,16)\n", + "ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + "ax.set_ylabel('km', fontsize=fontsize)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.text(s='(c) late morning', x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "\n", + "##################################################\n", + "\n", + "t=4\n", + "ax = fig.add_subplot(gs[3])#, projection=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " cldfra_diffs_array[t]*100.,\\\n", + " levels=levels,\\\n", + " cmap=cmap_choice,\\\n", + " extend='both')\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + "ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,16)\n", + "ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + "#ax.set_yticks([0,1,2,3])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.text(s='(d) early afternoon', x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "\n", + "##################################################\n", + "\n", + "##################################################\n", + "\n", + "levels = numpy.arange(-0.001,0.0011,0.0002)\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "cmap_choice = cmocean.cm.curl_r\n", + "##################################################\n", + "\n", + "t=3\n", + "ax = fig.add_subplot(gs[4])#, projection=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qrain_diffs_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=cmap_choice,\\\n", + " extend='both')\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + "ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,4)\n", + "ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + "ax.set_yticks([0,1,2,3,4])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_ylabel('km', fontsize=fontsize)\n", + "ax.text(s='(e) late morning', x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "\n", + "##################################################\n", + "\n", + "t=4\n", + "ax = fig.add_subplot(gs[5])#, projection=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qrain_diffs_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=cmap_choice,\\\n", + " extend='both')\n", + "quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + "ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + "ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylim(0,4)\n", + "ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + "ax.set_yticks([0,1,2,3,4])\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.text(s='(f) early afternoon', x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + "ax.set_facecolor('0.25')\n", + "ax_list.append(ax)\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "fig.tight_layout(h_pad=2)#h_pad=2)#w_pad=0, h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[3].get_position()\n", + "cbar1_axes = fig.add_axes([bottom_pos.x1+0.04, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar1 = mp.colorbar(contour_plot1, orientation='vertical', cax=cbar1_axes)\n", + "cbar1_axes.tick_params(labelsize=fontsize)\n", + "cbar1.set_label('%', fontsize=fontsize)\n", + "\n", + "qrain_pos = ax_list[-1].get_position()\n", + "cbar2_axes = fig.add_axes([qrain_pos.x1+0.04, qrain_pos.y0, 0.03, qrain_pos.height])\n", + "cbar2 = mp.colorbar(contour_plot2, orientation='vertical', cax=cbar2_axes)\n", + "cbar2_axes.tick_params(labelsize=fontsize)\n", + "cbar2.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "ax_list[0].yaxis.set_label_coords(-0.1,0.5)\n", + "ax_list[2].yaxis.set_label_coords(-0.1,0.5)\n", + "ax_list[4].yaxis.set_label_coords(-0.1,0.5)\n", + "\n", + "#seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=25)\n", + "#fig.savefig('manuscript_figure3_qvapor_pblh_cross_sections.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# up to 10 km" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-01T02:45:03.361149Z", + "start_time": "2018-06-01T02:44:27.638315Z" + } + }, + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.05,0.051,0.01)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,5]+[i for i in range(7,29,2)]\n", + "quiver_scale = .2 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qcloud_diffs_array[t]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=10),\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,20)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " #ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_qcloud_pblh_cross_sections_upto10km.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# cldfra up to 20km" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-08T01:24:30.853610Z", + "start_time": "2018-06-08T01:23:50.972935Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-7,7.1,1)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,5]+[i for i in range(7,29,2)]\n", + "quiver_scale = .2 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "quiver_head_length = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " cldfra_diffs_array[t]*100.,\\\n", + " levels=levels,\\\n", + " cmap=cmocean.cm.balance_r,\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,20)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " #ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('%', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_cldfra_pblh_cross_sections_upto10km.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-31T04:01:33.183735Z", + "start_time": "2018-05-31T04:01:26.798907Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(0,51,5)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=15\n", + "every_nth_z=1\n", + "z_indices=[1,5]+[i for i in range(7,29,2)]\n", + "quiver_scale = 1.5 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 5\n", + "quiver_color = 'orangered'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " cldfra_400_array[t]*100.,\\\n", + " levels=levels,\\\n", + " cmap='Blues_r',\n", + " extend='max')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_400_array[t][z_indices,::every_nth_lon],\\\n", + " wa_400_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,20)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " #ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('%', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_cldfra_CLIMATOLOGY_pblh_cross_sections_upto10km.png', dpi=600, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# first day" + ] + }, + { + "cell_type": "code", + "execution_count": 152, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:45:05.035472Z", + "start_time": "2018-06-16T01:45:05.027444Z" + } + }, + "outputs": [], + "source": [ + "times_to_plot = [12,13,14,15,16,17,18,19]\n", + "times_to_plot_local = [8,9,10,11,12,13,14,15]" + ] + }, + { + "cell_type": "code", + "execution_count": 186, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T22:17:38.220474Z", + "start_time": "2018-06-16T22:17:31.307374Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.6,0.61,0.1)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25\n", + "quiver_shaft_width = .25\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*13\n", + "quiver_head_length = quiver_shaft_width*13\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t_idx in range(times_to_plot.__len__()):\n", + " t = times_to_plot[t_idx]\n", + " ax = fig.add_subplot(nrows,ncols,t_idx+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qvapor_diffs_lat_mean[t,:,:]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=25),\\\n", + " extend='both')\n", + "\n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_lat_mean[t,z_indices,::every_nth_lon],\\\n", + " wa_diffs_lat_mean[t,z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " \n", + " if t_idx==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_lat_mean[t,:]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_lat_mean[t,:]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " #ax.set_ylim(1013.25,700)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " #ax.set_yticks([1000,900,800,700])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t_idx in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t_idx]+') day 1, hour '+'{:02d}'.format(times_to_plot_local[t_idx]), \\\n", + " x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figure7_qvapor_pblh_cross_sections_DAY1.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 185, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T22:17:19.241506Z", + "start_time": "2018-06-16T22:17:12.282183Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25\n", + "quiver_shaft_width = .25\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*13\n", + "quiver_head_length = quiver_shaft_width*13\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t_idx in range(times_to_plot.__len__()):\n", + " t = times_to_plot[t_idx]\n", + " ax = fig.add_subplot(nrows,ncols,t_idx+1)\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " mse_diffs_lat_mean[t,:,:]/1000.,\\\n", + " levels=levels,\\\n", + " cmap='PuOr_r',\\\n", + " extend='both')\n", + "\n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_lat_mean[t,z_indices,::every_nth_lon],\\\n", + " wa_diffs_lat_mean[t,z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " \n", + " if t_idx==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_lat_mean[t,:]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_lat_mean[t,:]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t_idx in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t_idx]+') day 1, hour '+'{:02d}'.format(times_to_plot_local[t_idx]), \\\n", + " x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('kJ kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_mse_pblh_cross_sections_DAY1.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# qvapor 20km" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-07T18:23:09.740760Z", + "start_time": "2018-06-07T18:22:31.316855Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.3,0.31,0.05)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,5]+[i for i in range(7,29,3)]\n", + "quiver_scale = 0.05\n", + "quiver_shaft_width = .25\n", + "quiver_key_scale = 0.25\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*13\n", + "quiver_head_length = quiver_shaft_width*13\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t_idx in range(times_to_plot.__len__()):\n", + " t = times_to_plot[t_idx]\n", + " ax = fig.add_subplot(nrows,ncols,t_idx+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qvapor_diffs_lat_mean[t,:,:]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=25),\\\n", + " extend='both')\n", + "\n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_lat_mean[t,z_indices,::every_nth_lon],\\\n", + " wa_diffs_lat_mean[t,z_indices,::every_nth_lon]*10.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " \n", + " if t_idx==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_lat_mean[t,:]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_lat_mean[t,:]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " #ax.set_ylim(1013.25,700)\n", + " ax.set_ylim(0,20)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " #ax.set_yticks([1000,900,800,700])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('hPa', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t_idx]+') day 1, hour '+'{:02d}'.format(times_to_plot_local[t_idx]), \\\n", + " x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figure5_qvapor_pblh_cross_sections_DAY1_upto20km.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# qrain" + ] + }, + { + "cell_type": "code", + "execution_count": 154, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T01:45:53.834977Z", + "start_time": "2018-06-16T01:45:46.361620Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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tr2Hj4Kgpx3DUlGMCzrd81y6eeOwvpsMHKmdnJRLlES3vIFrkiDbum36nV+PGmbSWmg6d0cv/foHNyxd5iBEY0fyuAjHONbGD2rIe27ipqK0bIy1Kp8VUayMiV4vhSXm/GF55e/uOFTu4a+S69+jB7669LgLSxDbR3GF0FgLRx2h8L/524Bde+iuGDikJkTSRIxrfjQNtZIUGESkiLh7JyIbkVESk81XsKMCngWM/Jfce4AyMw7yqMA646vSY/drUaNwRis4hFvUxmjtwf4jUc3SW8gslsVZGMvKIUikcaPy/cCAyfJw+9ToEmOnBjwT+p5SarwwPwi9jeEu2hFirmJrQ4c0g8FRPumD9Cak+eiLYcnYXP1rendm1Z5r2RMv7i0XUlg1IwQAApKA/auuGCEvUOTFj4DyLcTw5di/WF3LA704bInKliCwQkQXlu/dYK6WfhLphClfD981XX1FVtT/k+eiGPKbwWx/37LbEn2GXpiYujaamJj6d/VGkRQkbVhkw2hBqj4gUE5+AJBuO6SUhEVLTEJGhkZWs8+HTwFFKNSmlGkXkCgyngWdgOJ1zDfeMUmq0Ump097zcEIhqHTVxaW1/geJYBOkwDtwZCcFuwU/PyCAuzv+NblYZLE2NjaxetdJ0+K7UkEXqWQPRx9w877tfo+m9OcsSCrmC0cm4uDgys7IslMZ/NpVuZH9VVURliFaiqR57Q0YcsVGKBra/VjgIOeRwyw7X1BiYXmSilHoWSAX+CLwThNdmvwllxbUybVejZ/rttwWV3ojDDqN7UuAN8ldzPuezj2cHHL++oZ4N69YFHB8MIykYamtrg4rvjVhpEN0RiD5a8bzhKLNQ5bF4yVL++8asgOPbbDYOHz/BZzh3O8Ac3HPnHTQ3Nwcsw9bNW6isqDQV1vUjriYujdbWVpqagnOiXVujR3yDQW1djxT0b3dN8vuhyvRuKqsxs8j4DhG5CEApVQc8BeQAmSGWLea556GHLUvLW6PpKfxJR43j9KmTAs4zIyOTE085td01fzufh++/N+D8Ad545RW2b/PbfVEbq9esZfGSpQHHr6mu5oP33g04vtVofQycgSPHcf65Z5sKa/WHj4O773+A+PjAjx874sgj6du3wG3ajt/e2olVK1bw3ltvBZx/U1MTf//r4wHHB3j3rVlBGXnfffsNWzaZO7Ym2j5iRKQ/CYlIUkr76wmJkJqOiIR8PV1XwswITjlwq4j0F5Fk4CZgqVIqpAttnnzsL+wu93/tgF5PYo5wlFNaSw0P331bwIc1Alx6+eUM7JntVl4zRl92VhZ5uYFPmSYmJTGsf4HvgHbC0KBGRB/r6uqY8cD9oczCNNHWaVmF8whwqPTzoGHDOOu88wKOn5CQwE233d72OxBZ+/UfENQO1fz8AnpnJMRkWy8jJqyXwkHu7xUOQoaNtczJrcacgfM88CnGQsadGLs4zvIV6Z//eLrdb3/Xvfzm6mvI6x74ydnNzc20tPh/TL9VeFK+YDp7q7G6IbUiLasbrZ49e5Cf3yfg+AkJCRw0dEhQMtw+bXpQ8V0ISB/XrF7F119+EXCmKSkp3PjHWz3eN9Mx19fXm84vGvQj0nTWMhg+YkRQBk5hcTFZLmuh3I1kueK4tnLVal58+dWA8w8GtWUD0re/23uSX4wq24iY9S+k8YmZRcbNSqkblFK9lFJZSqkTlVI+F2Ycc9xxHu+5fqm4q4zBDOMCfPv1V3w79+uobCRiSaZIfyWFOv9wvIv7pk+zLK1A9XFw71xGlfQLapQgWJ3808y/0NraGlQasUow9ThSOujvlHi049D1oUNKuPD8c8Oev4gMJCkJSUx2fz8hEdIzIQzHPnQVQuKLCqC4n3srNVz446bBl08Vs35vrCZc+UWjwdWZiIvzz1FsKEhLSyUtLdV3ODe6YFX9uPvO26gJ4ss9FjpRq3H4/9J4x986GgmdlEPHryXFu5xSOAiycpaifVNZgj6q1wNNjY0ddhAF29DrhkqjCZxNm7dQbn6WS9NJ8NZu+mpTo6nNVVs3dNg95YoxTVWqp6ksolMZOMGsb+ngMbumhpUrllsilyYwQtk4BWOs6hEv6/DnHS/bUMa+fftCKI1/RKIeRFOHHS3EQpmIyGCSUpDEJO/h4hOQjCyAQ8IiWCcnZFNUvqZ9IokZ2bK7dePk004Pk0SdH3/qgr8NVijrWjCNZ2eYXogWHU5rqWHyMeannTXRT7D6EUv6JcPHrSYtw1zYwkGQkb0YPU0VNFEzghPJBW3+rrGJlkY/3ETrQmRNeOmsa9GsIJyyhiuvWCr/aEWVbUTy+5kL3KcItW2TnqaygKgxcMwSq8pmpdxd1cDSRJ5Y1T9N5OmqbaCIlJCc6nN6qi18fAKSkQ0wPKSCdQFizsDxRKQa3mD8WvmK89HHn1Jh8lj2UBJLjYkVePMv5imsxhzhLC+r621TYyPvzHoT0O9dYx4ZPm6Vp8P9PMYpGogcPPrnEInUZeg0Bo4Dd41arHbQxUWFpKS4PzMhHDQ1NbF+/QbAfBl2loa/szyHpj3BtAVx8fEMHORfR2UVjvq4ZctWqqsPbKaI1bYtUkSivFTZRqTA5PSUg97FqG3m3FFoPNPpDJxoYtqttwQVf+iQEpKSOg5rmu1853z5NbM/+Szg/Ovq6vhp8ZKA48cKupNoT2cw7ty906WLF/P6q6/4lYZzWdhsNoYNPzQouYJ1trl2/Qb27N0blAyxSCzXyQSbjV49utOzW5bpv17dc0mIj/z5WbFOTBk4/rg/2FxaypbNm8MilwPXRvW+h2dYkm6gyj1l8pGccNxUt/fMTK1lZmZy9plnBJS3g1tua3+Krz/GRE1cGjOffI6ysm0B579z56528d3l7618GxobWfSTHim2grnfzkMp5VccKzu2Qw49lHMv+KXbNMNl5AbrbHPK5CMpKuwbcPzlS5fw2n9eCjh+U1MT9067Awh8Y8jin35qqweBlPu6NWvYuyekrtc0nYSoMnCcleD9t9+msqLC7T0zNDQ20OCH75tw4U2hY/krxRMzHrrPVDhP5XLVtdcF5UtqX0UFu/1oDF3laG5qZlf57oDz7yyjQw0NDaZGP7w9b9X+KitFCopQOrSMZg4+ZDjnX3SxqbDuPoISEhK4674H/M7XOY3SjRva+Qn0V0cqKyuoq6vzWwZN1yNkBs7SZcuDakAOPuQQUtO8GwPeGqlBg0sYOHhwwPlrwm9whcIYGFIymEOHdzwzy+yzpaWlehwFM8ubb70TVHwrqKioZOvWsoDjd4trYsKIg4KS4aQTj6cz7XztigZSsKS11HD6mWcRHx8fcPmNGjOW/IICn+E8tSfbtu9g3nfzA8pbE1uEzMAJdu1G/4EDSUhIsEia2Mf1S8q5cYg2j+D+Eq5RDn+np6ySq7Cv78Y41OzZs4fNW7YG/EwiQslgzwtsO8tIlaZz4bZeZuSRm5sTfmE0YSdkBs4lF17g8V4sNIZNTU1sLi2NtBgRobN/mYbbeerYMaPDko8n4mhhwID+TBh/eNjyDEXZbt9WpqcmOgmRbGOysrK8GuuazkNUrcEJJ74UrLqqip8WLQyTNOaJBeOwqxCrhmCwdcjfheJWsXzpUnaXl1uWXrQQi/UoEJnD/WGh0ZgycETkUhEpFZFqEflKREpCLVgkcG6Mu+XkcPqZZ4VdBmfl18ZMZHAu92h8B+HQx3B1Qv6U79TjT6BvYWEIpekcRGOddRDJ6WhN18OngSMig4AngauA7sBs4LUQy6Uxif4aCg/R0mBGQh91HdP4ItL6oeuoxh1mRnCmAF8opT5SStUBM4FDRSSkq7R0hfWNLqPQ4c+J2GF+DxHRRzOY6eSs6Ai7Qr3ftXpepEXo9ETaKNOEHjMGzjvANU6/RwG1wP6QSGQRn3/6CV9+/nnY87XSJ9WePbtpbW0NVqSAiMYpimghwh1swPoY6bK+7c7p7c4/CRWhfM7yXbtClnasEIr6H+m6qemc+DRwlFI7lVKlACJyFvA+cKtSqt154yJypYgsEJEF5bsjf8rkMccex+RjjglZ+lYppLd0Pv7gQ3ZHQVl2RmK1QY1VfQR46P7pxMXF7vHzDQ0NzHr9v0Ds1h9PdIZRsWAWPms6J2YXGeeJyLvA48CvlVJPuIZRSj2jlBqtlBrdPS/Xajl9VsRorKizP/if6bDu5P/lJZfQo0d3U/HdKXfpps2sszvLDIQ9e/cy48+PBRw/mrC6fkSyMY2kPkajnpll+7YyFv/0U8Dxk5KS+O3V1/gOiOdyeub1WaZGsbaudi/nP199iwWrSj3mGcvvR6OxGjOLjNOAb4A9wBCl1HshlyoERELxMzIy/Qpv9TbKVntD6u+zO8Ln5uRw843XuQ1jVsav537rV96u/PDdd+zfH9Wzoaaw0LgJmz52hq96ZxISEklOSW777cttSqDP7y3dluZmbDb3za6ZOnLehRcx9OCD/ZbJ8Sy7d5ezcvlyv+M7aG1t5bPPvwg4vkYTTsyM4FwIbFdKXaaUqg61QM7EegN7xJFHRjT//v37MXBAf1NhHQ26ayMbyNH6zp1DVVVw/ofi4uOoi08POP687+bz8aeBr8Wq2LePhx57KuD4IcASfTRrcFmpg5H4yHCWP697d0qGDA27DM6MOGJSUO4qPMU1O8Ld3NRMQ0NDwPmnNle3cxYayKjRAw8/QkNjI+Db5Y4zjjBvvvYay5e6Pyk/1vsMjbWYMXCGA0eJSLPLX1EoBXvk0ccpD8LJYVXVfqp9dK7BKoM+08E3J590gin5PTVyo8aMJT0jI+AyGDP6MKZMNm9ousqR3a0bV117YBQrCt5FRPSxrq6O6fc9GFQaO7Yd8Or+3abAPcRbQRS8R+BAG+QqT0HJSL/im6VX796MOOwwv+I4U5+YyeSjJpkO706v/3D9NSQlJgYswy/OOYeDhnX0L6fRuGJmkfHVSimbUire5W+Tt3hPPvWMx3tmlPLmG6+je/c8t3HMNE4rly2ndFn7k4ijpVGLNNFUDqH26pyQkBC0T7Ng4996x91BxXcmUH1cuWo1X80JfCQrJSWF6dNuD+pdvfPWLEt2BUZT/dV4xlNdSU5OdnvdLHFxcUGNgq1etZIX//NKUDJoYoOQuWo49ZQTQ5Ku2cZt7PjxHD52TMD57C4v5+UX/x1wfI2B7oyM3UORpqiwLwcPHx5RGX579TVkqAO+pPwdxXnv7bfYsH59u2udrX5Z9Tyh/GiItjL3V56SIUO56Jfnh0gaTTQRMgOnsG/foNOIlCKltdSQm5fHCSefHPa8Y73xCCVWyhJMB+CvHMF8bVpFamoqeXnmduRFC67v6MjJR1NYFNKZOL8IpU+uHiUT/BWn0+Kt7AJtEzwt9NZ0LqLqLYejAzObR3prLbm5eb4DdmH0gj5NOMnu1q3dAldfBNsGdCVCXSbR1FZEkyya0BJVBk640A1cezqzwuuzQSKDmTIfX9TH4z13dbIz11ONOXzVAa3rGme6pIHjTKgXuWpik0DrhGs8Xbfc4824cUesdFyhktNdup52YIWDWHkfmq5N1Bo4VihQpJUw2M5t1YoV1NfXWySNRtN1CIVhqZRi6eLFlqfrDW0gh4ZI9w2a8BC1Bk6oieQCZl84ZNu6ZTN7mzr67ol15QxG/lh/9kjQQvT4fzL7/qLxPTc3NbF+3dqIyqCUimj+0Uo01hdN5Im4gWP2EDh/WbjoZ35etCgQkYLK15nX33w7qPhTjz+BrOxst/fMlNvqNWtZuWp1wPnv2buXv8z4U8DxOzOx2KBaNRoQaDov/ev5tg46Egf9bdm8mR/nzw8oblpLDQmJiZxx1tkdrvvDj1983uaLKpByfPuN13n7jddNhdWjP5quTsQNHH/wp1MpKurbbkuprwY1FB1W/37FlqfpC+dGLT0tjdTU1Hb3/dlymZuTww23/NGv/F0X9X79ZXB+a7779hsqKyuDSiNSRFMHEw3rNMYfMbHDlnkryshsnc7IyCCvu39b5a0ut4zsbNMe1d2VzdFTj2Xg4JKA899dXs6KZcsCjt/a2sqnsz8KOL4ZHG2I3iCgCZaoMHBCUYnzcnPJyTW8KLszbnw1rOXlu4M+7XL0qJEdFjGHU2Hz8/tQVNj+PCJogPG7AAAgAElEQVR/OhQrPLg3mFhD5K0hS0lJId5kh+CO+d/N48vPAz/Bt7KigscemeH2nie5o8mwiRbSWmoYOHhwUGm8/c77HQ7684fsbt3o19+cb7Zg9NTbxoUhI0cFlXe3nBwOOfRQr/l6W3zc2tpKc3OzTxm8kZbu2zec6/M7y/LwjEfbfFGZxTn+rP/+l2VLwrsWShObRIWB447HZz7C7vLysOXnqpB5ebkcdfIZXsN0JkKxqLsmLo1jT/B+orWvfEccNspUg+qJw0aNZsLEiQHHz8rO5vfX3+A1TE1cWqeuGwD19fXcfe8Dlqbp76jqUUdOjOhBf1a8Y393j1lNj549GT5iRLtr/jyXzWZjwkTzvqhcSWup4Zrf/zYoX1S/POMEDj94YDuDrrPrnyYwQmbgBDv6cd1NN7cNJ7v7Unb97VzBXSt7II2KiMTcya9msboxCOWoVLBrNRISE0lMSgouDZO+qFzroKPe3vdg5NcxbVi/ni9+cO+B2QzJycncc9cdFkp0ADOdVFpLDTk55g/6045wo5e0tFTfgbzgz2GP7li1eg2z/vvfoNLQxAbB1RQvHDZyhO9AIaS5uZmm1qa2zsmTkeNooHx1+l3tCyGUDXdXK8srr7850iKQm5tLYhBfzVZQV1dHXmKrx7oVC8aCw3D1dt8KusKooDusrgPuyrBk8CCKCvuS0gXLt6sRshGcYQcfFKqkTfH1N/OYP2+e6fCx0LhaSVcaxYk06RkZkRaBrOxsCizwDxcoNXFpPD7zEaokpe2at5FVd++8s+qoFc/VFY2hQBERUlJSfAfUxDxRuwYnGGri0pgy+UiOnzjar3i+FuiFm1jdPWQli9aXRloEU0RDfQkXgT7rrdPu8svJYTQats3NzRExJnxN30UzVulGV9IxjTV0SgPHCiorKvj4ww9Nhw9FI/PurDfZtXOn5elagRU7rDSdC086YJXn9rlffcm2srKA0wqW6uoabr3j7qDT2bplC62trRZI5Jmu5DzTgW5zNK6YNnBEZK6IjAulMFZzwqlncdZJJwQUNyUlheJ+/YDAlXnd+g0BxXNwyWW/pl9eulevyN7Oi6isrKSiorJDHHfpuGPPnt38+7nnApA8OHatNqYWHV/wkRjFiYXGMlZ00rkszzrpBFM6Ob6oT4cprIK+hWRmZgYsR11dHQ0NDYBnnfY2apSensbtf7wp4Px37y7n0vPP5carf0+GqgsojQU//MDrr7rfwGGmzlZWVPCvZ5/h8ZmPcN9dd7Jz3XK/ZXjztde46pobuPTXv+H+u+9yf7qyUmA/0FCjiRQ+DRwROV5EngYC32sbZlwbL28NqqczahKTkigZOtTtPbPM+eIrv+N4ks1fI6smLo216zawes2agPPPzc3jtDPP9CibGZlcp9n8fY5vf1hIxc4dfsWJBkJpIMWqTgb6seGgX//+Qa1n+nH+97z539eAwN9PTk63DtfM1mmb2Jh8zFSmHn+8qfDuZMzOziYzM8tUfHd88flnPPqnh3nu6afYtWMn/Yr923avlOKf/3iajz/5jO/n/8A5F1zQ4fBGGmpJuOt0Es/vQ8LVY0l98nfEL/nSMHqAjaWbaGpqCvgZNBqzmBnBmYix26o6xLJYygmnntXudyTm86+8/P98hvGnw/f3zIfRo0Zy+NgxHa477xzzlVa3nBzT8rnjmSef8DvO1tU/tf2/qaYKW1zgM6mbSjeyZvWqgOPXVFfz4fvvBRw/RMSUTrqrYzOvusyvNGri0vhu07Y2PXb+v9k8J0ycxJnnnGsqP0d8q85YSWupISc3l19dfgVX/u73AaczcPBgTjj55A7XfRlsjmc4+dTTKO7fn/T0dO68976OxokP4so389iIdKb33s8/zjycEtdTlRvrSZ9xIbbl3yItzdi2rSf5k+dJeXMGKEV5+W7+fuv1PHHcISz8zVTk9UeQTSv9kmHed/Mp3bTZrziaronPbeJKqWkAIjLVWzgRuRK4EqBv34KgBXv9lZc5deokUnoUBp2Wg+82bQvpQVu+tpBaHc8T4djRNLXA+1ek45luvt3z2Slm5Jx89GTTsrkrx7i4eOLj/B8qd3QISQktDCnsFVWLz83opLM+WrF7qq6ujpdefs2U0e4O1w+OYAj0YyU+Pj7gM1Ss2LbtqJ+R3Eoen5DAMy/8m6qqKnr26gX+xK/dT8a0Exm/YwPjc4Blb9B0dzlV93wINhtSWU7WVcOw1VTSnJTOgl4nkjNoAL0Sa2g5+3qw2cjMzOD/4koZ2a0cysvhtZ9onfUYzfe+gyrp+DHmjt69e5GdFfgolqbrYNkiY6XUM0qp0Uqp0d3zctlYusmv+K4dx5GTjyanW8fh4EBx/mL01Sj4e/y+VV94ocSKjtnKUTBv8hSUjLQsn4K+fek/cGDA8ePj4zlk2MGmwnp6pmD9cQWCsz7m5nWnprqa8l27Ak4vOTmZk086weMzBrLA2Gydd5fnovWlLFpfGtaR2erqGj76+FPe/8C7LybHGjJ3RHpxrojQu08+g0uGeA/Y3AS1+w/8bmok/a9XErdjA81Fw2j+5R2o7J7EbVwC9p1xKqs7rb36U5NdyKtfV/PNc2/w3h8f5pkbn+CDX/6KrZ98wpbZH9O4qYKlZfDlGlhfDrameuLvPYe412dCi283Ev2Ki8jODtzA2b1nD0uW+r/2SBN7hGwX1exPPjUVztO0S68+fbDZbB2O4zbTQHj7WvS3QfS3EbayAXv0sb+xI8p3Ubl7XnfXAumIHKNthw0o9jtuJPA0EldfF9iCUispK9vKyhWBN+oiQn6f3n7H82bIBjuqs3DtRo8L0P016F3rpzsjZd3OfTz/wkse14+ktdR4NW6soKmpiRXLlvn0xdRh/d6OjSR99AxJs58l8ctXiF/2tdt4smcbqc/dRPbF+WRffsB3WFzZahK/e4eW+GTe+1nx/PSXeHNLAaVFU9j25RdsePMN5l1/HW8sjufpWVvZuR+GXvRLio47lrjERHbMncsnZ5zGRxf9H3MX72cBQ8m8+XEW9jyedbvAVlcF7z7FtrlzmXf9dSx9/DG/y8b1mT21xa0trZ1mDZB9Pd5aEakRkddFpMMiNU9hxOBREakUkW0i8lunOP1E5BsRqROR+SIy1H7dJiIzRWSniOwXkfdFpFf4ntg/QnaS8VVXXh6qpIPG29BuOKcgfBlDN15/TVDpmx3C9tQx19XV8dPCBUyYOCmoL+V5pWWm5vrdyevNuHEX3urpPis47sSTIi0Cg0uGtH21uyuzWGLR+lIWrt0IGEbOdwOK3U6ZOtbtOPA1Pe3OyOlRMgEwyujQ/vnccO3vGXf4GFxNVrNluGFjKaq1lQEDzDn9dEYpxbmnn8q6NWv41yuvtV13ru/OOiGV5SQs+oSEz/6Fbdk3ODssqT34SJof/MT40VhP9r2nUn3J/aTNvIS43VsBaOlxYAFyS/EhVAw/ic/+8wmlOw1Def+mzWz6fiH85c32goow7q7bGXPzH4zk9+9n0b9fY+kjM4x7027j4F9dgi0+noILLuHjE45l5ZIFJMVXsOQkw3dd5sCBDLv2Or/XCJmhR4/u9OgR+254RKQb8CpwGfAV8AxwH3C9yTCXAVOBg4Ac4AsRma+U+gl40R7+JOA39jRGAOcAxwGHADXAP4AH7WlFHSEzcIIlFI3uzKsuY9aHswOKa6bTdO1wb7ltGjMeus9UmqF43q/mfI6toZpJJ57uNm8zefpzMJs73njtVWpSMyk51LppJ39QSoWkkdT4xoyxecKpZzH7/VmAsdvRVT+9rX36cZ1h5Ixa34+pBe49bMOBYwa2rl9H49aNXHjJpe3uuxo2aS01ODTD2cgRESaMP9zr83jCMbLzzIsfc/GF5weUhlKK+/80g7//9XFGjTmwXiWtpYaaZiFhyZck5hdDT8MwSfr8RVL/bayBU4kpNI49hV37a1j9w3f0TexF2o4dpOalY9u8EtuKeWTeOgWAqm79mLMhiYrKLApnPkJ2yRAqVq9i2b++p2FvMylTp3L2zIfYPv8H1rz3EU3VVcQlJVMwbjQ9Rx9G3sEHkdqjR5t8iZmZHHL9DYy58lKUUsQnJ7fdi09J4Zi33mXVo39i69dzyc1uIP+kU+j3C/e7N7uqCwsPnAYsUkq9AyAiDwMf4GTg+AhzETBDKVUGlInIq8B5IrIHGAlMVUo1iMifgTtEZAjQDAgHbIc4YG+InzNgotbACRRfld91q6qjcXWlsqKC+d/N4xfHHRXwiICzcWO1YprpPI6acky7xtoTntJJSUlh3IQj3I7eeFtz4egUNqxfz//eeZtxp5/tQwLPvP/i80w4/iQo6uN3+SmluPjcc1i+dAljMxVPj8kmMz2Nmhueh+49TaXR0tLCtm3b/V44H40jSaHGk0NcX1NRZqeq3n3vPbJ79SEjN6/t2s59lTz90Rx+P2WC2/rhMG4Wrt3IYQOLKRx0kNvNBovWl3ocLXQ2cjzhS78d8R+6f7xfBrdzujabjYMPGc6Tz/6z7b5sW4ft4xfInvMqtpoKmi+9l5bTjV1arbn5NA49gr25Q1hbmcyWr1ZS9vXXSHMzP899HWa8TnxKCnn9CjhxYD65dWXsbU7h5bc20mBfClP+w/x28vScfCQfdcvisn7FZA/oT+HFvwbMfaDF2Z3eVlZWkuW0SDg5N5cj7j1wgKIvvdm1q5z09DRSU9077exCBtBw4Cen38uAniKSrpSq9hXGzb3lGCM6hwIrlVINAEqpVhFZBQwE3gKuABwnbu4CzC1SjACmDRylVHEI5ejAz4uXMHRICUlBeoIOlJSUFAqLituUzdsOLH86Mk/n7gRCuBz/uTK+qI+p3Rf9+vfnz088yar9/q1Bce5MTr3ksoB3vjU1NvLAI49w/hmnc+ykseSu+w8AafecQeuMjyHV96FxNbW1fDX3Wy765XkByRBKAtXJQIzt5uZmfvp5CQcdPsmveP7m424Ux0F6Th6JKalthohjBGfnvkq+27StwzSVwzBfuHZjW1gZ1I8tdqNnfFEf01OvrkaON93zZgxZMZqY/PZfSFjwIba9O4jbtrbtekPfYexYuZ5ls69h54KFKKWo3bmThopvD+QPxPfoQVq3bjTs2kX9vn3sWLGWF1ZCYQ5sq6gjuU8B4+65j7jkFLbN+ZzqLVtITk0y1tRMncLZ+D+y61wP/v6vV/jD7y4nMTHBdFznsv5h+ToGF3Rn8KDANw+Ek9SkRMYM7Od3vC+TktrthrTzjFLqGfv/M4G23Tz20ZZm+/VqE2EyAeeDyqo8XHe+dxlQjGHs7AOeB57CmLqKOqJ2BKe8fDcDBvSnOTXH1EJWs1+LruxaPY+0g47tcD0xKYkhB1nrMDQcw6uOPFwbX2/5Ohp55wbfl1Hhuj7B3bOlt9Yied2ZmOcuBXOYMW5q91eR8t5DyLa1xJeXkr13Jy1Fw2geMIJ1h5zBFWPHUvfPV5mVAZMHQ+62NbRMO53Wc25EpWSghk2CuDi3aWdmZARt3DQ0NETMUPeEv3WxtVWxa9cuIulC95iJng2HRetL3U5TLVy7kf/9+DNA27+jBvXrEHfh2o0cNqC4g/G+dfVPlu7qM01rK4nfziLh+/dIXDWPpulvQV/j+eI2ryBh2VwAVEISFcWH8/2SCpY/vwTjA709ucMOpvj4Y8k8bCy9jphIin36KK2lhoaKSvasWMnc2+5g06Kf6TZ4EGe8/xbSdxAAxWec0RbWgauJ5m+bdu0fbqIJSAywLTx66tSg3IIopWhsaiIpMTGg/MOJ3Zh5xsPtCqDNa6iIJGL06ftMhml3D0j1cN353gXAE0qp9fb07gK+8fe5wkXIDBxf6098cezUKX5vSQ2ES276M7Pfn+BzNMVTRxvrUxE1cWksWr+4w/C8txErd9NejncS6l0kHWhqJPOO44gra39is23fDhJ+/oze67chr7xGU2srLRNOY/ayHzij7w7SNi4hbsavAFhx5p/pe9qZJAbhBsAZV+PhsQem88d7H7Ik7UD5aeECNq5fz5nnHjDW/DkOITExwdgmbjK/cEwTjBnYr21kxnmaypH3+KI+POsSxxHecd+ZRetL211zHDgZViOntZX4xZ+T8uoDJKz+vu1y9fwvKV24gYrVq5HlO2mqHMCOjdvZt6eWplZjR1RCRjoFkyaSP2kifSaMIz4lhfjkZLL6FQPu33dSdhZ9Jozj7M9ms/XLr+k1dgxJWZmm37O/uC6IDiWe1jiuWr2GxUuWcv65gU+dRwmrMNbYOBgKrFWqnR8Qj2Hs007DAMcw4EHAYmA1MFREbPbpKRtQAiwBal1kaIKQVZegCZmB4zBuAjUAYtlosAJPI1S+tmCPL+oTUNm5Nu6ecHzh+lqTYBm1+7Ht3YHUVGDbvgrZsRHZUUrrQePhuCtR8Qkstw2gR+UafiiF/fVQ1wSD+iTQOwuWPv8KqhVG3H4Hh905jYrVq3nlxKkMTCxncE9oaYWvrv8DZ4yZQI5FBo7zKbgA9959Z9uoQKTq9chRoxk5anRI87DK2Pc2TeUN52kqh6F9xQlH8+O6jezcZ4y479xXyY/rNraN4jhGb5yvmcFdR+33s+/aDE4HmaY+cRWJC2Zj27cdgHpJZtHudFav3cveT/+IG49PpOTl0X3wIPqdeDzDLrs0YCM9LiGBomOPCShuKDF7DIU/DB1SwtAhJb4DRj/vAI+IyCSMobsHAVdHZd7CvAzcJCJfAYOAC4EjlFLrRGQNcKOIPAncAixTSpWJyPsYC45nAzuBOwD3C1mjgKidojKL89dyOL4arRyxCUZef3Z1+ZqeWri2Y+PuMHbSWmr8WqtgGUqR/PZfSHl5OtLU0OH23mVL+eGjFVSuXcO2OXOwxdtIL+5Pa2ozjRUVLFhfAUC3wYOYMP06Si4zFkNml5Rw2uIVbH/7vyz4bA6quZn8/gkkpndtg9qB1UcoWHmCsTfGDOzXYZrqv3/6Ddc8v5TfnjiFpz+a0y6sJxzP3qNkQjuXIX4Z9C0tB6Y8a/cT984TqN79oaEW28ZlUF+DbF2DbeMSap5ZRmVlK/s3biR/4Tzy9m2nsh6WboVFm+tpbKkHETL7FZNVMpSskhKyS0rIKikha3AJudnJXkWxgmhYtOur3Q31jtRoRCm1R0QuxdjS3R14A3hIRC4B7lJKDfQUxp7EsxjbvTdhTEtdr5RyjOZcAryEsaX8R+Bie57/EZEC4AsgDXgfuDXkDxsgMW/gWMEJp57V4YuxfNcuXn3pRa79g3/egz11EM7bXd3dd6e8z/7zBU495UR69fS848fV8PDXHcX4oj4sGnTAa7qzYQMH1tqE0sWF7Ckj4efPiduxERkzFTVgBIjQsmAO0tTAvlpoaIb9dVBRCxV1sKtqGTv2G+sN4lNTmfLKaxQcd1xbmg0VFTRW7KNnQXdq49Pb5ZeQkcHQCy9g6IUXeJWrKzaa0cxns15nyMhRFPQf0O66w2Bxnmb97r1nqdq7g3cf+T9+f+vrAKjWVsS+ONbTjiln/SwoGdlueqqhsZG/Pfk0N91wbceITY0kzn+P1FkziC8ZQ/3F97J7yVKS6/fR880/u82rsVV4bdgw9tmrVk6a4Y9yXx30HD+BEb85nf5HjqPboIHEJye77+AtqJfB1HNfbVmgLk48taFdfWTfFaXU+xhGhjMv2v+8hUEp1QL83v7nem8N4PZMBKXUw8DDgUsdPqLCwAmm0oZq9KY4N43brr+qrQFxnNcRTgU7/7yzyUhP9x3QBeeFwr4MLgeOBt/5+rYVc9m2czdgGDmuaflzerNt+3pae/ZrS8O2eSUkpZDyyr0kzn0dsR/RvnvHTnYUlrJr0c+seu4reibDxr1CWn4+KTndSOqdRVJWJj0L+1JUPJCEjAx6TZpEpkunl5SdTVJ2NhLgELe79xzou4+1szv8WaAeLtJaajjmzHPadiHNmXkvWadf3GbcuI5A9i0ZzfJv/8fmlQuoWfEpv59yLLfccB2jTzmTvgMHtTsle+Haje1GdZzfV3r5FjK2ryPu2w9InnQml55zJpUbNqI2LaPbfOOAO1tlObZNy7DVG3Fq163kmVtfpKWxidQEGFkI3VKN6dCd+6G+GeoaYfM+RavEkdGvkPTiYrIGDabnhAn0mXx0u4XADpqbm/no/feZNHky2Ra6sQk1Vhg3vu5p40fjjogYOM4NiLeFjv5U2Jq4tA5n3ASDQ0ZfQ+yuu5acFfCue+431l/4ifOR7xlBrHV5btY7DOqWwUlHjXN737GDzGHcuC4Qrq2rZ/HyddiqtnUYom97N62t7d5nwvaNhj+ZrN5IXTVJG1aQ9MnzxK9dwLqzZrD4sx/J2vAdU/J2ILQiqpVWBet3Q3kVbPjhebZXPt+WT8K5l3Hxn2aQkJ7ucV1SODA7JaixBnfrcCYU57fdA6h89yWyTr/YbXznRcFbV/9EAbBt/UoWvPUK5z75j3Z1adSgfm0nIzuo27WD7Df/St+FB1zOzHvpHeYt2AHA6CJjR54z5VWweCus2NFES4uQM3QIrU1NfL+1jJb6ehKzs6nO6cYhR4whKzeX0085kd7jDqcuyZxfpfj4eBAhIcHc9mp/scqQdW4PPbXvweiK1R8MWm87LxEdwfFVscL55ejaoLozltxNZXnjjltvtkQ2f3BeL1My4jDG9e1FTVyiz7IcX9SH1W//p13HkJmexqnHHoE01kN9DaTZ31dLM/Fr5pH8zuPEbV7B7pnfU1e9h8aqKvL+fgvxzfVtaTg2Yja0CKum38LGHVCcC6qb4aNv9Q74ei00ZvYkKS+XlIMy6ZfTjZwhJeRNnsq3u3axp6qKXunpAfv7CrZBbWlpIc7DNnLnPHwRTQ2p1V+8oRilOuukE9oO4gxkLU9GTi8Khx5YWH3D5edSVNDLq5xJr/8J24f/JGXfZgCaW2FZmTEtumnPDuKSk0nr2YMtLTW8t3gPrcqYPt3XnEzKkOHkHl3AcaecRe9xh5Occ2CURbW2ggg1NbWkB7He61T7tu1AqK+vZ+aDD3DCKacyeuzYtuv+vLempiae+sdzXHv1VUBofPD5orW1lWpbKumtrht63BMNI5CayBByAyfQRnT7jh306tkzrMfsmxkBctcxeHrG5tQckrwol68F0v7uVHJdJxMfH0+Cm7MezCi8NDWgEpJorKom7vV/kLTuHEjKROITiK+vIqmlEYDaRnipe25bvLNGQmoiJCdAU4vRMazdCat3KlL7DeCwuy+m58AiPvzrQ9BQT7df3cCJv/gFqb16dZCtJi6NKbvLycnJJVC++vobqqurmWzvIP1t7Cr27eOF557l+ptv8RjGVWbXPDpDA6uUYsf27fTq7b/DzWDwZdhUvvsSU266y1RaQwYe8K3U7uA+pchau4r4r2ezftOHDM+toaEZ1u2Cn6uy6H7aGWT0HsCEYQeRP/EI4hITqYlL49uV6xiTY/g2TO7RAxGhZsWnbvXWsfYnGOMmWJKTkznvootQyt1+LM84GzEJCQmcd05wC8fvvPs+brrrXrdtkxneev11hhw0lGHDDywod2ymiKaPCE3kCYmB00Kcz4rm6/5nn3/JSSceR25Ojse4keg4fI3iWPUl26NkQpsfpUCV1tngcSdXj5IJ7Q4wKOxdRM81i5E5r7G3NZ7PNiSzbe6PpNhauHISJDXsB/uGpn21sHYXLNwEcSkpJKSkEJ+awtz4XNJ69MBmSyG1ex49Rx1Gr2496derF93HjEFESGupYeAZp7XJ5cBdueXldQ/o2R2MPvp4t+f2mCW7Wzevxo0zzsPykZxOcyWOlqDTqK+v57N33+Si35p3ABuuHVSOKVbHEQauZV1QMtJYvbutlNY1y6n48jPS83rRumMHgz9/j/pvlpPy4wYAFqRBaf++pJ90AfljRzExPxFbfHyb0dLa2tqWri01lRQvGwDCjZm2Z9Bgc9ujvRkLPXv2cHvdLPffM42auMCMm5q4NM4+/4AvL1c5O8PHhMY6QjaC8+A907n97ul+x3NUUE8O6axc/Bkq/F075EkpH3/iKc4/9ywy+vTvED7Qr5V2ee3bSfzWDfRd/hONM96iz9afEftpG/X7oGyB8eWZdsgw5gwYQ1xzA62Ve6ira6a5II8eZ47jjPPOIynnwGnTjnU8zl+xgb4fq77IzGwvdTfqYtU6gVvvuJtpD88MOC0rWPzTT2zetMnvKQ7HM6SkpPCbKy6LyhO9Zl51GTc99bzbe31LRrPmtfcomPsyJZkdpzQGAfmp8PeMNJqOO5Vxv72cnhOOaDPEndelNTQ08NCMPzN92u2hepSAsUpPAjEQ/I1j5uPXnzT9XZS8ctVqflywkEsu+qXpPDSxScgMnBtu+aMl6Zit7FYuMDaTl5m1OEkNlRBvFLGZM2lcuf6a3xlx/ZBNKYW0NKNEkG3raVr2HbLmZ2TTchrKS9mYcTBlzd1oqqmhaP9yRqjVDLfHbWmFDbthZXk8e7MKGXz5WMoL85ly0uQOu6hCaVR2ti+yh+6f3uH4z3BzyKGHctDBHX3idZZh/ZlXXdZBJx3rb5qq6yjbXkthMuxqTKI5PglprMfW3MQeMliZN4zvbzmXQ0cOp9cRnqeFk5KS2hk3gRydYGY9lzfmfTOXwqJiCvr2bbsWrCHu+ttTnfCkl+7iWL2QOOiPOSeGDimhZPCggGXTxA4hM3BSUlxdWbTHjAJE884VdwaVawN71z338+B909t++/NlohrrqVy/gb0bNlGxu5I0aSC7pgzJ6UGzTQGKhhZh2Nx3adywgv8tj2NlxT5QiiuPFNISFXFuli/tm7+RFXbXa025kFMM1Q2wvSmduoMPZ/DVv2XqpCPYU7qQpqZmNmw+cM5OZzA2XN+Bt3oYbAProDY+PeKGhM1mw+bnmodAv+ajRSevOtI41bf45KNpGDuMOcrGpl17OfXYIwDoPng8y8v2s/zidIcAACAASURBVHF9Kc0uu6hCVden3/cQd995q7EjKgD65OeTEeSJ246pb0+EetQ0XHhbyuCvs1BNbBIV5+CYJRqUxhuOBtZh6DgbN76oiUsjrbma2u8/Y8Wdv2Z0Wg2LVsFy49R2hvaC4Ye4j9uaBHH7ocW+djApzjBuqhtgX2MCVXGZ1KX3QuXlkzJqCEf3LiYhPY2EtDSqc3uxWhJJ6N2HQ+tWtptaSkiIp2RAoftMTXLLbdO4e8ajAcd//ImnOPsXp5OfH9hBg/X19aQ0VaEyOq7lMTOq1tLSwsbSTfQe7KHwMWe4evsyDjUtdBwx8LaN1zmMt6k7T6N5Zo5XCAdPfb0fvp7DizP/QFrvHuRA22glePbs7frMl9z0Z8D9YX3Q8cPGG/dN9//YCGeK+/X3HcgLf3/8MYaPGMnEo44CzBukjnBNTU08eM90ZtzTfprOn3pdsW9fUOf4lG3dSlZWFj1TbW6NGE+jUpquR0QNHG87kuZ//hFjR49Csnq4DR/pL2JvOAwdxxZXd7Q0NbFvzUr44DlqV82jfM1y+qU00S1ZcYT9WIy8bGFXfTYNSUmkptSxeG8tqbbWNm++CtjWnMjn0psFY3tQn5CIEuHCF1+haW85yQVFpKWk4CglT6eObvTghsFo2B14buC9PeeMh+5zu/DTLNfZt6O6w8x02fqf51NTW8vYKSe2i2OWmtpafl68hIEDOnYsng7Ei8Z66U42s6OoaS01NDY2MefLrzjhuKkeO5No7Ugc9fjFmX/wGdYhvz8GWsfR3I664k1H/MHsVLyn/K669jqam5v9ytP5nSYkJHD3/Q8EdYLySy/8ixt++380pwRm5GxYv46+hYX0LAx+gXc06qrGOkwZOCJyPPAE0Af4APi1UqrKW5zm5mavw7C+GsPE7O7Ex8eRHGXrb3xha20lp3o/Q+OrefDosaRJMwmqleZWOHdEfxq3r+GrrelsWrYOm1KccSgU9IACu67XNsIPlSm8aStieY+e0NMwZ5ZgOBExwy8vvjCIJ/BsyHjCfWfwZ78b9VA0NmPHjG6XrreOy528mRkZnH2m+4W5Zo3sxoYGusX716l4IxB9BGM0ynUwx+wz2GxCUnaPqDVizNDeYIfZ77dfbzNn5r3MCdFa8HCPaLnLb9aHsxE3BwVa9bFoZrq3Ji6Na264kaSWGpLs4b21366nx6e11DDpqMnGD5ObLRxhnOttU1NTyA5M1EQPPg0cEekGvApcBnwFPIPhgOt6b/Huv/suHrn3DsBzx+WtYo4cNdqtceO6fiLaSGpo4NgVP3PlJDc3t2wx/t0KNgW1ycl8tT+BxcSxMz6VtfFZLE3KoyU78EWI0YRrI+vPUL4VRquvgxtd8dQJeTpsbvb7s0w1sDMeuJ+H7r7Vkk4kUH1cuOhnNpaWcuI5gRm/8fHxjB0/3muYQEY/IkmsyGkV7nTAUbfN1ONgddKhLw7MlL8VOun6XCtXrWbhop/5xcWXmZZdE5uIr0Of7J5IL1ZKTbX/HgV8oJTq5SnOiMNGqTnfGtsr/fk6cFUgXyMA0dhAJTY2MmXlz5wz2Dgwpq7FRguQFAc7WxJZ2pLJ97bubE/JpCXAhYaa6MK1nrqbBnL+gs1NTV6olBpNAASqj/O//tTjlJqrzM646uSsD2d7POMnmkZSNV0bx8iPmbVxQFA66YvsvsVq8h/MHUbpzJd/vpeKLaXhO+m2E2Kmhx0O/OT0exnQU0TSlVLVwWTuazFiNBowvmhMTGT2oWMxP1ahiXUc9dTMlJwFo46W6aPrSdpmDBVtxGhiAbM6GY2zABrrMGPgZAKbHD+UUg0i0my/3tagisiVwJX2n9W5qcmrrRTUB3nA7jDmF2vo8vGOJeWTnGHapUSR7yAeCUgfkzNytT5GF7qMvBNLOqmJUswYOBVA26E2IpJoj7fPOZBS6hmM9QBhR0QWhGp4sTOgy8c7MVY+Wh87AbqMvKPLR2MFZk47WgUMc/o9FFirlKoLjUgajcYLWh81Go3GBGYMnHeASSIyyb6D40HgldCKpdFoPKD1UaPRaEzg08BRSu0BLgVeBLYAu4CHQiyXv0RkKD6G0OXjnZgpH62PnQZdRt7R5aMJGp/bxDUajUaj0QSG3iYeObTHMY1Go9FoNJ0ObeBoNBqNRqPpdESNgSMil4pIqYhUi8hXIlIiIt1F5B0RqRSRchF5XETi7OH7icg3IlInIvNFZKj9epqIfCIiu0TkAvu1X4lIq4g0u/ytiuQz+4OIXC0i20Vkv4j8T0R6i8Gj9vLZJiK/dQrfpcoHPJZRqoi8YL+2w16HEuzhu1wZ+YPWSe9onfSO1kdNpIkKA0dEBgFPAlcB3YHZwGvAvRjnfvQCRgDHAA5nOi9i+OLpCbyJ4Z8H4CLgZWAw8CunbD5RSsW7/A0J5XNZhYgMA+4BzsBwsFgFzMDwRzQVOAg4HrhfREbao3WZ8gGvZXQrMASjjEYAY4Hf2aN1qTLyB62T3tE66R2tj5poICoMHGAK8IVS6iP7eR4zgUOBZgwZbYBg+ELeKyKFwEjgXqXUfgwX2MUiMsQpXGdy9HQk8D+l1Hz7cfwvAwdjKP4MpVSZUmopRoNwXhcsH/BcRscCjyiltiqldgD/BI7pomXkD1onvaN10jtaHzURJ1oMnHeAa5x+jwJqMb4Wj8Y4gn4LUAZ8gNHQrlRKNQAopVoxDkAbCPwH44tyBfBcmOQPNc8CVwCISC7G882jo1+i5Rhl0NXKBzyX0eXAJ07hRgPb6Jpl5A9aJ72jddI7Wh81EScqDByl1E6lVCmAiJwFvI8xlPkoMB/IxhjWLMIYzswEKl2SqQIylVLVSqljlFI9lFJvON0/VkTqXf5uCu2TWYNSqkkp1SgiV2D4ZzkDY7rAtRyq7Ne6VPmA5zJSSi1XSlXZ5/H/BpwJ/IkuWEb+oHXSO1onvaP1URMNRM2Qn4jkYQxXjgJ+rZR6T0QeAsYrpSqBSrtCHA/8Ayd/PHZScfHH48KnSqmYdoWslHpWRP6D8WX0DsZXtHM5OMqggi5YPtCxjESkNzAJeAFYChymlNoqIgfRRcvILFonfaN10jtaHzWRJCpGcEQkDfgG2AMMUUq9Z79V6xK0CagBVgNDRcRmj28DSoAl4ZE4vIjIHSJyEYB9PcRTQA6wlfZ+iQ4CFtPFyge8ltGZwCzgZqXUyUqprfYoXa6M/EHrpHe0TnpH66MmGogKAwdjfnW7Uuoy+4I0B+8Dd4tItogUYezomKWUWgesAW4UkRRgGrBMKVUWdsnDQzlwq4j0F5Fk4CaMr58ngZtEJEdEDscoxze6YPmA5zK6DrhBKfVf58BdtIz8Qeukd7ROekfroybiRIuBMxw4yvVMA+A+jHnY9Rhfk68qpd60x7kEOAfYi7FV9VIfeRznmr6I7A7N41jO88CnGIv0dmLsUDgLYyHfz8AmjG2V1yul1trjdKXyAc9lNBx4zuW5PrfH6Wpl5A9aJ72jddI7Wh81EUf7otJoNBqNJkRoX1SRI1pGcDQajUaj0WgsQxs4Go1Go9FoOh3awNFoNBqNRtPp0AaORqPRaDSaTkfUHPSn0Wg0Gk1nIy05iVGD+vkd74ekxBBI07XQIzgajUaj0Wg6HdrA0Wg0Go1G0+nQBo5Go9FoNJpOhzZwNBqNRqPRdDq0gaPRaDQajabToQ0cjUaj0Wg0nQ5t4Gg0Go1Go+l0hNTAEZHrROQ8L/evEJGL/EjvSxE53xrp2tK8T0RuNRn2BbNhrUREXnJ9bhG5RUR22//uCbdMmtjDkz6KSLGI1Nv//7yIDPAjTSUivSyWc66IjDMZttRsWKsQg03unltEjhGR2eGUR6PRuCdkBo6IZAKXAG96CfYicL2IpIRKDk+IyKEicidwY7jzdoeIxLm5doSIPAxc4HL9GOBaYBIwCrhQRM4Ii6CamMSkPgI8DswIvUQdEZHjReRpYGIk8nfFg06eA7wOFLpc7y0ivwP+ESbxNBqND0I5gnMF8I5SqgVARE4RkVUisl9E3hSRVKVUA/AFcJm7BERksIj8KCJ1/8/eWYdHcbQB/Dd3MaKEGBYI7m4thaItUGiLFCrUhfpX95YaNeruXuq0tEgp0BZairsUd40Q9+Qy3x93Fy6Xk909ySXZ3/PwkN0dv3ln331n5h0hxC9AuM2zcUKIXZZnm4UQwyz3VwkhrrcJ96wQ4gsHyXcDUoBjKuvVRgixXghRLISYL4QIs+TTRgjxh6V+64UQgyz3hwohdtqUp/JaCPGExSq0HHjTQV79gHgg3e7+5cB7UsodUspDwLuAVy1bOnUOe3m8QQiRKoQ4BdxsDSSl3AwkCyG6OEpECHG+EOKwECJPCPG03bNHhBAnhRD5QoglQojmQohoIUSJEKKdTbgVQghHMj8Is3f1fJV1G2exqOQJIWbY5DNKCLFVCJEjhJgnhEi23H/Cokhhf22xEs8QQhwALnKQ13Agx8H95kBv1I8nOjo6PsKXCs4k4E8wm8CBz4GpQFOgEXCXJdyfwIVO0vgQWIL5Jf8z5he+lU8wWzGigI+Blyz3fwbG2oQ7z3KvClLKr6SU1wMrVNUKxgPXAc2AVsBFQggD8CswH2gCPAP8JIRIUJDeJOB+4FYHZXzNUsZddo+6AxttrrcDbVXWQ6d+YSuPbYEXLffaAJ3twv6FA5kUQsRgtrrejrmfJ9o86wLcBpxhuZ8O3CWlzLXke54lXBxmq+Ov9ulLKR+z9PdTKus2FOgPnAXcb1GsWgLfAncAycBm4BuF6V0AnC2l/M5BGW+2lNH+/lrL/U9Vll1HR8dH+ETBsbzw+2F+8YLZuvCrlHK9lDIf88t8jeXZFmCggzSaAX2Bx6WUBVLKz4D/LM8EMApYhHkwlUCcJerPwEghRIgljbaAN+fEv5FSbpJSngL+xWwF6g9EAq9ayvoT5gF1hIL05kspV0gppYoyRFP1KzLPck9HpxoO5PFi4Ecp5XIpZTbwlF0UhzIJjAPWSyl/scjxozbPjmCeMj0KNAZKqSqT1o+O0cAKKWWGZ7WqwitSylQp5RbgEGaZvBSYK6X806JkPQH0Urhe6B0p5REvlk9HR6cG8NVhm3GYlSfrS7gFsN/6UEq5A9hhucwEIoQQ0ZaByEpzIFVKWWpz77jN31dh/go8jHlQtaa9WwhxGDgbs4XldyllkVdqZeaEzd8mzG3YEthnp6SkY1a+TtrFt1cqszWUIRuwXbcUDmRpSEenfmAvj80xy42V43bhMzFbWu2pEk9KmS6EKLNchgCvYZ763QUEY1Y2AH4BXhNCRGC25PykuSaOcSaTe23KWiaEyMHG6mSDN2RSR0cnwPDVFJVVcRKW/08BSdaHQogzxendUxV2/1tJBZKEEKE296wL+0YC5wMdpZRnUd0sPAfzF+NYHExPeYgjS0s65sHflnbAQcz1sm1nRwOsWnYCXW2uO2O2GOnoOMJeHlOpuki2RdXgSKrLY7V4QogmmBUZME855wEpUspzgdWViUmZinlK9VzLvzmaauEctzJpmV6Lx6yg+UImdXR0AgxfKTjpQDEQa7n+CZgihOhmmYN/FQizPGsEFFlM3pVIKQ9inpJ6VAgRIYS4jtPrTIIwD9ZhlvUE9wNBFlM8mJWaCzCbzOf6oH72rADChRA3CiHChXlLd3PMU2hHgRZCiATLroyrvJDfLOAWIUQzIUQH4E7gay+kq1M3sZfH2cAky4dGQ+ARu/CxmJUZe34D+lkW+EdintqyKkJBmJWdMMsC+6lAsGU6Gcwy+Tiw30/TP7OByUKIgZayPgEssEzJHQV6CyEMlnVyF/ihPDo6On7GJwqOlLIc8xqbbpbrjcDDmBfh7gZWYV4kDGZLxEonSV2KeR1LOmarze+W+4swKxWHMQ9kz2Ke859pyW8d5sF2hZTS0Y4HpwghWgohyi2LFBUhpSzGvCjTukDyYWCylLJYSrkfeB5znVcD69SUx0l+CzEv9twK/AO8KaVc6mm6OnUTB/K4FbgH85bxXZyWKytdMfdX+3RSgcswbyU/AuzBbLXBcq8Z5v7/CHALZsVhnOX5z0APzFusVSGEuFIIsdd9yCpl3Yx5E8KXmMePTpYygXmx8SHMdZ8NzFNbJh0dncBHqFvbqiJhIe4FYqSUj7kJ9xxwVEr5tpfz/x34xNFOCAVxZwIvWBYS6+jUepTKoyXsCmCalHKbF/MPwqz8dJZSqt5KLYT4RErp0J2Ejk4g06xdB3nTa++5D2jHu3fcyPG9u4X7kDrO8OU28Y8w+6dwupBZCBGMeVeF17ZWCiHCLD43umNe3Kg2fhyArtzo1DHcyiOAEKIbcMrLyk0DzNbYfzUqN2cDf3urPDo6OvUDnyk4lrnu93HtgG4qZod1hV7MehKwHnjMMnWkCinlKSnl/V4sj45OjaNQHsHsN+YBL2f/BvAc4NZ65Agp5d8WNxE6Ojo6ivHVNnEApJQu7XK+GLSklLMwL8LV0dGxwZ08WsJUc2LnhXxv8HaaOjo6Ou7wiYITFx8vU1qYd2iaqHaci0uMmKrEsb92F9eaZ3l5OQBBQUFVnrtKyza+9W9b1JRDTb3t81JaRnf5OqqDfR62YVzV2z6cs3I5CuOoPdyFd1dOZyhN1xnO0lbSHxz9No7ibdi4OUNKqcTLtVeIi4+XyS1auuw7VtTIiFKscYqLSygRRoQQRISEOP1NlciPs3Io+Q2UpO2NMM7iKOmHoH7stM/H37hreyVlUjJmKY2rRpb9LZM6/sEnCk5yi5as+HsxAAXGCFVxI0wFVeLYX7uLa83z4IH9GA1Gklu2rPLcUVrW+7bxQ4qzOXkyleTkqu5tlJRFTZlty60kD9syqk3XUR62YWzbwB3O2tHRc0ft4arOjtJxlrarMrhK1xnO0lbyGzn6bRzlGRYVd6jaTR+S3KIlf/67wm3fUdK31PQ/+zjL/l5O32GjWHnoOGe2bOo0LWfyc/L4cRo2akRYWJjLuPb31ciXq/zd5eMO+3HGHWrHTvt8/I27tlfaps5QG1+pLIP/ZVLHPyhagyOEuE0IccJykOQ8i4OvgCalVesqyo077Dt9Xl4+K1atcRJax58ofSHUFzyRx5p48VkZcrZnh4Rv3bKZ9NTUKv3BV31D73M6OrUftwqOEKIr8CTmQyabYvZ7MVNJ4jU5mLpi5SF7z/TVadQolosnT/RDaeoe/vjd/fkCUpOXr+vuiTzWViJMBUSYChh/ztl0bB5fI/nXBNZ611Zqc9l16gZKLDhnA/OklKst3oZnAV18Wyyduoyagc9R2Ho+cAaEPKpV+mwVvzNbOjrmyrv4q4/U875Y41iVQH2c0HGEEgXnQ+AGqPQRMxWzF+E6TU1an7whmFrT8FW9/TXY+ON3c7f+yMfUS3nU0dHRUYtbBUdKWSalLBVC3ABkYDaNf2sfTggxTQixTgix7lRGutcKqHaBsTPsp6WUTFNpxVsv2TdffYXUk/aHkevUZzyRx0CcMna3+FxLevYWI0/qbVue0pISZkw/7crHk40EOjo6vkexoz8p5YdAOGYnYHMsXohtn38gpewrpewbFx9Yu+1slRlfKjb2ptJ/li1VFM9+QLZy+113k9S4sebyHDt2nKNHVTuOreRUZiYffOQ1J9M6XsSX8lgXX8YFxgjS0tLZsXOXorCOCAkN5dGnnvaoHOvXrsGT43HmzpnD7l07XYbxpyJbk32lLvZTHe+iZJHxI0KIywGklEXAu5hPAI/2RYEC8StTK0WF3nTQ7BpHwp6Xn8/J/DKHX7VWXLV3o9hYplzk2ULrhfPnexT/j7+WkZWV7VEaVpy1QW3C3/Joi6/OrfMXZeXllJaWKg6vZLeW2v50/Nhx8kQDRbLoqL8OHTGcVq3bqMrTlpKSEnbt3KE5vslkYu6cOZrj6+j4EyUWnHTgQSFEayFEGHAvsNXXZzWdPH6ciooKr6W3Yd9Br6WllHPHnOeTdJUOqh07tKdTF+3rT4UQNGwYozk+QGRkpEvlyv6Z/YskqnEyoaEhmvNfvmyZR0pWTk4Oz77wkub4PqBG5LG4uJi3X3/N6+n68yu8WdMm9OjezW/5OeL88eMxGqs7oFMq01FR0QQHB7sP6ISszEzWrV6tOb4QguY2vsFclduZ3D89/VFKS0oqr5XsFrNN57tZX7F96xY1xdappyhx9PcJ0AnzQsYGlv8nuYvk6dfe30v/YuSo0TSKi1MVz5FAWZUb87Mcj8qlY0apM7FBQ4Y4vK90QO/StRsSQOGL0H6gHDWorzk/RbGrExMTw8MP3KsxtpnDR47QIjnZozRs0CSPABUVFRgM2o6fy83JoWXLFE1x6yJqLTdqHPz5ksZNmjD1qqs1xzcYDPTq07fKPft62Tv8s6/7Y0/NUJSXsza7eOrl5j80tmdJSQnZ2TkkJSVqiq9Te1CyyLhcSnmXlLKxlDJGSjlGSrnXXbz7HlPWiZ0x5bKpHik3u3ftZO/u3dXW3Phji6oj/DG4BcIA6im1fQrJEXPn/ea1tLTK46YN6/n1558055uYlMT5EyZUuae2v81bsLDWT3PpaCOQ5PrY8ROs37ippouh4wd8dpr4k8897/C+v17CDRqEExoWVnm9fs8Bv+RbX/GFe3h/DoqOjoTwFrfePM3raarBiImzenRk6vgxNVqO0NhEhBA1ln8gvWR1ao7WrVI4b/S5NV0MHT/gMwWnpklu0YLkFi2qWGzU7qCqjwNiXbAC6QQmAwcNruki6Ojo1CPqrIKj9kVtr8xkpKcz64vPvVmkgKA+Km321Oc28LYCqzU9LfF+njOXvfv2a8pPp3bhLT9GOvUbn5wm7ozaZB2Ii49n1Hm+2QWlo6OjjgJjBEOHDCYqKrLGylBTp3Tr6Ohoo85acOzp066VqvBCCOIDzGFhbcDdC8CXSm5tUqDrI5462YyNbUhQkGffZLqCEljoMqvjS+qMglNfBq6aqKezPK2DU20fpOpL33GFs62+7u4pSUst+u+ho6MMIcQoIcQeIUSBEOJ7IUSU0jDCzCtCiBwhxHEhxE02cVoJIZYLIYqEEKuFEJ0cpHuOEKLItzX0jIBWcLz14uzdJsUr6dQWAl3h0PICUxNH6wuyPr5Y/XUoqyfWm7r+u9T1+vmTtF3Kz52t7e0uhIgFvgHuA5oDAnhaRZhrgZFAZ2AUMEMI0cvy7AtgGZAE/GhJwzbdSOA9S3oBS0ArOGpw5FZd6eDtr46u9mXy1muv6odtBgi1fTD0Jq7aQu2ht4GEu7KXlJZWOWxTp3ZSh2T5AmCDlHKOlDILeB64REWYy4GZUspjUsqtmJWYi4UQLYBewFNSylzgZSBFCNHRJt0XgF98VjMvUSMKTiBYGJw5/PNm59+4fp2meNYy3HbnXR4dtpmekUFaaqrm+JmZWXzy2Zcuw9h7LQ0UvHWCtLfSDET8PZWk5LgUX7ZxVmYmBw8o34Vlf5RIaEiIx4dt7tpx+hwoLXXdvm0rC+fP86gMdQ3bdjy6a2OVZ4HwrvEEIcQ0IcQ6m3+2TrW6A7YV3gYkWawrSsLYP9sOtAV6ADuklCUAUsoKYKflGUKIIZgVoLe8UUdf4tddVL5CSSfu3SbF716MD+7fX82tuSu84c7dNv6JE6nky2ASk5I0pRUb25Dzx45xWCbbsroaqDdv3EiPXr2cPnfHti2bad22HeHh4ZrT0HGNmj6n5aVstdpkHDlEcRPvu8dXurspLzeX9LR0Ulq1dvjcF84e7dPauH4dbdu3d3gelaOy2JOQkEhkpPadZCaTicxTp0hI1PY7SClZt3o1/c44w2e7yuraFvHw0BBNyyTCQ0ORUn4AfOAkSDRwyHohpSwRQpRb7ucrCBNN1bOL8pzcr3wmhAgH3gGmAN47LNJH1JkpKnv++HMpS5f9U6NlmDB5So3m371bF6fKhfWAO1cnJgshSEiI96gMu3ft9Ch+VlZWlYP5XOHocL9Vq9ey5I+/NOefk5PD62+9qzi8fRsG4gDt6gXuUlndslVznlJKVv/0LZlpNTfl2iIlhX4DBtRY/gCXXH5FFeVGbf9ITEqiZYq6HaG2nDh+nPm/ap9ZMJlMZGSkV15rUQY//fAD9u91e7qIU+bM/pHt28x9MRDly49kYz6PDgAhRAhmo0WWwjBVngHhTu7bPnsa+EFKud1rtfAhflNw1ArCGy+/RHp6huZ0hw09m0FnnakqTx3vM/mSSz2KP3jIUBrGxqqKY6u49e7Vk8GDBqrO1xo/JiaGy66/WXX82oyjl0ZOdjZ///Ov5jQ37j/EqFvuommKY+uJFuzLWdunI/xB8+Rkrr7+Bs3xg4KCGDPufI/K0Kx5c/Lz890HdMJFY4bTt0OKR2WoI+wEutpcdwL2SCmLFIaxf9YZ2AzsAjoJIQwAlv87AFuAIcCDQohiS7hQIUSxEKK7V2vmJXym4Lwy0/FZVPY4G5T+d8+9hDdu6TKeqwHNYDAo8pmhD4p1m5CQYEJDQz1KIzzC/Veiqy/J+x+q+YWpW7Zu57ffF2uOH9OwIbffelO1+7bTOu5kKSg4RHP+9Ym6bpU4d8x5dO/ZU3P80NBQDAbtr65dO3bw6edfaY4fQMwBBgshBlt2Sz0LfK0izCzgXiFEIyHEAGAqZuvMXmA3cLcQogHwGLDNshi5r5QyTEoZhlnpKbFcb/F5bTXgMwXn6uvcfyX4yzNoTZ0groW6PrjVBRxN77li5nOeLUz1Bh06tKti0XRVdk984NQUgV4+ncChQ6dOXHPV5TVdDI+RUp4CrsK8pfsIkAY8J4S4Ugix11UYSxIfApswr9H5EbhTSrnH8uxKYDKQCYywpFHr8JmC0yguzm0YX7zMlQx0ShSejIx0vpvlWsvXB1X16ApczRAaEkKUgsWprhaOe/LbecMX1ffzl7D/wMHKa3/Kn5a614b1WLUZR+3ZvIP2DQ21ESnlXCllKyllpJTyGilliZTyCyllD8L8xAAAIABJREFUW1dhLPdNUspbpZRRUspkKeXXNnF2SykHSCkbSCnPllIecpD3QYslJ2Cps4uM7XGl1DgaKOPi4hk6YqQvi+Qyf53aif4Sc07vNilIKassGlfjmO3MswbRrFntscbqqEeXHx1vokjBEUJcJYQ4KITIF0IsE0J08HXBtOBNRUEI4ZEPmvpCfRuQ1NbXF8prbZFHe4oKCpjz+kw2b9qkKX5ywzBCQ5Sv46mNHw66POnoeA+3Co4Qoh3wNnAzkAAsBL71JNPa3Klr46Cp4x/c9Wtv9HtfyKM/OLR7FzNuupbf5s7FaDQPO2qsNzo6SkjsoH7HpE7dRYkFZzjwl5TyN8vWspeAHkKIRr4tmmds3rKNL2Z94z6gjo4NtUD5rpXyuGvTenIyTwFgMLh2cqej4y1qgTzr+BAlCs4c4Hab6z5AIZBrG8jWpfQpG0dQNUWb1q3o37ePR2k4s9Y420HjbWGa/+svnDrl3heQTuDjxb6hWh7TM055K2/NDBg5iukffMYFEyeR3LJFTRdHE6mFFfw2b25NF4MN69aybs0aKioC3pFswKIrPvUDtwqOlDJVSnkQQAgxCZgLPCilLLcL94Flj3zfuPgEnxRWDZGREXTs0F5x+JqaenKVb6cuXYmOjvFjaapSUlrK/AULOVlocuglWMf/aJHHhHj3Oxrd4enao5hGcSQ0bcYzM18kLs4z79hq8tWKo/oaDAZWr1zpUbrpaWlVzqNSy8njx7np2mu45rJLGDNsCB+9+w5SSo/KpKNTV1G6yDheCPEL8DpwnZQy4A/ZCgSmP/iA5rgRpgJat2lDcHCw5jSW/b2czRs3ug/ogAJjBIWGcNZt20VBnmOvo/5QeMrLy8nOynIfUCXeUthqQjGujfJYVlrKnI+dHanjH7Zs2sQP32qftg6PiOCJZ57VFLfAGIGUkuefforff1uguQzGoKDKXWgtUlIYc/4FCCFUpTHri8+5bNIElvy+ULUVKD0tjRmPT2fVin8xmUyq4tpiKzf2h5rq6HgLJYuMI4DlwCmgo5TyV5+XykucdHOStjdeTq7SeOr5F7yephoaN06ibbt2LsO4GlRCQkO596GHadxU+9bcpx57RHNcgJ++/469e/a4D+gEKSVFRUXuA9pgP9ieOH7M5XN/UlvlcdO///DbN1+yacOGKvf9uSi0e8+eHh8d4glCCG6/+25uuPkWzWkkJCby+bff89TzL/DBZ1/QrHlzVfErKir45P332Lp5M3fdegvXXT6VwgLl401RYSEnjh/jhiuv4I2PvtQkC2WlparC23MqM5Pi4mKP0tCpHyix4EwFTkgpr5VSaj9ARCWbNmzwqBPPX7CQ52e+4sUS+R9PFZ0O7dsR4cK5mz9e0g899rhH8Sdfehl9+/fXHH/Dxs18+sUszfFzcnL4c8kSzfF9gM/l0VG/KC8vZ+3q1ZrT/Hue+YDHZx6fTnl5uZvQdZeUVq1p0MD+HEN19OjViwkXTVZtuQGzkjV4yFAiIiK57a67efvDjxQdRWIb32Sq4KMvv2LaLbdW3nc1ltiPY2+++grHcrUrOWvXbeDQ4SOa4+vUH9wf1gTdgSGWI9ZtaePIu6EVk8lU5dRctWRnZVFeVgZhjh0lFhgjnCoAJSUlvPz6WxQVFlFSUuLyLCJX6bhDadz6vLU8WIXfEkeoHcTt27pP7550aO/aiuWKmJgYpl7pmZfyg4cOk9C6k0dp2KBJHq3rNLS8FAEqTCayMp0vVrY9k8pR3sIgaJmSQkJSouYy6HiOEILHn3mWex56iKioaNXxk1u25L1PPnX4zHY8dHUQ6u133+PRu2H0uWYHrNYUnY2vzpSuoqIi8nJzSUxK0lwGndqBkkXGt0kpDVLKILt/TgdTgKenOz5gUKnVYOiIEURGRSkKa09oaCjvvPEKM56arnoNi62weNsMqs8x1wyRkc7b3R+/yYKFi7yWlhZ5NGFkw8bN/DTn9GyW2qmFkNBQzh1znqYyCyG4/ZmZfP/rPF5+822XLzf7l5XtdUlJiao1I7q8OUYIoUm58RbBwcEeHZbpKWmpJ9m0YT2g95G6js96mZrFeL6wcHTs0J4Rw4YQJdWtv7CSlprKx59+UXntL0EIBGtPXRT6mmrXAmMEt9x4fY3kbUuf3j2ZNOHCavf99VsHh4QSHh6uaXrG+tvN/vkX9uzd5+2iVaMu9n+d07RMaaVZWdepXdT4WVT+evGsPHS82j1XA1liUhK33jytSrjaNvApLW9tq5dO/cLaPy+7ZIpH0406Oo7Qx7+6S40rOP7EkZIDjju42nldnZqnJqw0SvtDIFjmrLgrcyCV1VPqUl10zOhjsI5SlCwyrlOsPHTc5cniatGFzX94siA8EKjJstd02+3avJEByY0Vrb2IMBUErFylp6WxZdNGSktLKSsrY9jIkTW6nkVHR8c59cqCoxR7J1Tg3Prjz7J4k0B9gejUTRZ89TkvP/9clXve9IHj7OBObyt2n374AXfecjP333kH/yxdSmSkto0QVtLT0lgw91d27dxBicWBnxJKSkqUeTCu416Oa/MHj47vqbMWnG+//5GLJ09StCXVnZD4S7mxL8dHn3zOBePOI6JJhOqvWm8oMDk5Oez8bzu7duygW48e9OrT1+M06xK6klgdRwpFRUUFB3ftZMeGdTRt1oypV13tUdo1aY06eGA/AE2aNuWxp2e4HF/clVNKyYvPzuC3efMAaNa8OV9+/yMJiYkuy1BWVsbFF15A6skTtGrThqEjRnLDzbdUliVo+z80+GYGxsM7MOSkIY1BVMQ3p7xtX0rG3EB5tyFqq62jUyupkwqOlJJnn3+J3bv38tgj1Y9L0DpN5cn0lpZ1D1MmTyQqMhJheaZWyZFSKvY54mgwfurRR/hzyWIahIWxcNk/ivN1VI61q1bRpVs3l44HXbFg7q9s37qVTq1b0K5ta7p17QL6odQBi20/zUpPo6jA7JNw317tXqnt01VLYWEh2VlZNGnaVLMvnudeeoU1q1bStFkzoqPVT02Vl5ezacMG/lqymL+WLOHECfPHU/PkFnz05VdulZv0tDSeeWJ6ZTsWFhRWc/oXtHcDwVuXVV4LUznG1IMYUw8Ssm4B2R/vRUadPnxeFOQghYDwaETGUQx5mZhadTc/y8sk8plJlA69jLIug6lo3gGJG39KFRU0+OZxjMf2UDDtFYj2zMqlo6OVgFFwvDHvbn1JZ2fnkJiYQF5+HqVlZdVqaaukuPrCKjBGqFqYbM9jD97P08/PVFZ4B0Sr9ANkr6SsXrmC3xcs4PEZzyiOb8t9Dz9Cbm4OPXv11jSYW/nh2294+rFHMRqNdO3eg7sfeIDeffspiiulZPfOncyY/hh5eXkAXHfNlfTq2QO1vlBram1HTa9/qWnikhpz58xXkanHGD95slfTVtO2hw4c4I6bb+TVd96lS9dumvKLadiQc0aP0RQX4NefZjP7u+8YNnIkb7z3Pk2bN+fXn2YzbOQ5JDVu7DZ+RGQkAwcNpkOnzqxfs5qZL75A02WfIoryKLpyBgDF425DhoRT2m8MMrYJmMowHt9L8KpfICiEishY3n7tVXLWLOH+5HIS965ENoik6IqnaPDNDCrik8l98W8QgtA/vyR4x0qCd5gPGS1q0o4ndpVypM1AzhoyjCHDR9C0WbPTBayoIOiD+zAu+sx8GdcMrnlCc3u5bIt6LFM6yggYBcebxMY25NMP36VJk8YEBQXhzDG8OwHx1NGfJ8qNWhy9uDt37UbRqZMO1xQpIaZhQ+554CFatGypuVyffvgBb7z8EmBWVkace66qqa7NGzfwyH33kpjUmLy8PG6/5Ubu/N+tir/Arc7htLrHr6ioIO3kSY/O46pvOOyLffpxZsvqfnjUUFxcTHBwsCYvuBGmAtp37MisH39yayXxJRMmT2HilIur3Lvk8isUxRXZqcT+8wNXRAlkYgyGJj0JnT4SY+pBpMFIyZhpVCS0QBoMHE3oRdGqTUi5kdiuXWiQ2IrSCfdiDA1l6qQJbN28mWsa5ZNUkGtOOy+TiHduA8DUrD2UFEJYBMVjbqQioiEh6xYS9N9yGpzYwwvRsO/oUb75egOF/QecLl/WSYLenIZxvdmxpal5RwqvfJoIqh7KeeL4MeLjEzR7Oc/ISCco3OjSQ72ODtSwguNKwdi+bSvt2rUnRGMnTk52fQidO+UmLS2dWT/PZ9ott1ax4jiapnK1LsBdPr78uo+OjmbceaNVlceWBg0a0LFzZ4/KcPlVV3PxZVP5+IP36dOvHwMHDVYeuayUvoZsfvv0HUzJHdn533/07ZiiKv9Nm7dQUFjE8KFnqyu4hfz8fP5Ystjj4xoCBa0WLJPJxLYtW+jRq5em+FnpaeDh7sWtmzZx9OgRJlykzQoUTTHGGlRuwPHUTuQLl2E8/B+m5I6U9h0NoREYTu4naPdaTCndKJpqPs/NkHuKiI/urRa/vGUXCq97kZLwOE7Mm8emmS+QsW6to8xpMmQI95x/AR9GRbN/91r+6jyCjtMepeHy7wib/SIlfceyq/vlZL//ISWnTlFRVkbDDh2IH/swDe9oTfn8D5FfPkmb0CLu7ZxAYfv2AAT/O5uId/+HIe8UMiKGvPtnUd7TfKQCpgIwlSNO7Ec2b8+sj95ncGQ5g3t2pnTIpaBSYd20fj0dWzTWfSLpuCVgLTgnjh0juUVL1QqOFoXBUZzExATuuvFqs3Da4Ei58Sc1uYVW6blbBcYIKMoHg5Hg0AYEh4Rw+113u8+g1GoxK8c4730a/voOhqyT5kd9RtHp0Z9BpWfqAf2VTYU5Izo62qlyo/S3yM7KIiLaszO5ahpTeTlHjxzWrOD89vWXHF+3kutvullzGfqdcQb9OENz/IBASoI2/4EppRuyofkspLJOZxKy4ieMR3cSsnJOleBlhbmVf5uSUigeMw2EAVGYS0VMAuUp3ThoSmDXzI84PH88FZaTusMSE0no05eKslIyt22nLDcHU3ExJ5Yu5cTSpYxo3Ya211xHdOtWLL7+NgzBwXS97hNWP/k0ec9e4rDoxgYN6Hj9DfT++gj5K3/C1LYXCAHlZTT47lkMeaeo6DmM0lve4L+F/5L706N0vukWIiIh+NnLEMf2YJpwBzN2foChIBuWQfGBLRRep87SPXLUaI8Wm5eVlVFcXKRv768H+EzB8XT9ychRo90HcsHiJX8yYvhQh343HAmFrbBYt5wmdhho/juii6q8nR04V5tRNM0lJeK/lUQs+oKQFT+DMFAy4koKb36zMo1qcaU0D5JA0M5VRD09AWITEanmo5VMTdthyDxB6dkXg8GAnbUbAOO+jYTNextx7hXI9oG30+vj999j+n3/q9EybFy/jgP79lWbHlFKSGgoYy/QPsWUd+IYr//6M5GRkYqmZJy9uALRR47SMhkPbSfijWkE7V1P8cirKbz9PQBKzr2W8m5DCNq5muCNi8G666lNL8rbmftz/pHDZKxfT35ZWwxBQQQnRJG9YwcHX36GvAMHzBkIQXyfvrS88EI633QzwXYL+kuysznw4w9sfe1V8vbvY+Njj1R5fvLvvwGI6dCBpsOGE25ZE5S5bRsZ69eRd+AA2998g7RVq2jYqRPBEZuIatWK5qNGY7zzE4J2rqK46zBWPfosO2Z9A8D2t9+mx43XM1gEEZx7iqDPpwNQ3rIroqSAkpH+t4wePniQbVu3cOHESX7PW8e/+ETBMWJyqtz4Y4AqMEbwzvsfsWbdeh558D5VcW39aVj/PrNlU01bxb1l3cnNzSUqKkrRupOaWNAatGMFIf/8QNCWpQQd2QGANBhAlmNIO3S6PKZyor96gOJWfSg9a6I53tJvKLzt3cq0RGkRpB5Cxjcnd9rr7DmUT0RiPIlDhhNpScf46aMYdq4mIrEVFY1bETb3bURpEfLfnyh9ew00auK1ujnrr9Y62T53FvaeBx+qZgn0N7369K2xbf5ntGjCvbt3ERkZyQ/ffsPFUy/3KD1/9m/7jxUpJSf3bGPtuvUMGD5a0cJggOC1C4h8+SpEUR4VMYlUNG2LrKjg6KJFHJj9AxHNmhPXqzdxU2dSnl9AwZZ1HJ6zitx9X5F/+DC5e5zvPotITqbD1dfQ7sqriLBd8GtHaMOGdLz+BtpffQ0H5/zMwTlzyNu3j9aXXELB4cPseP89UiZOYtC77xEcUb0fp61ZzR+XXEL62jWkr11TeX/1/ffRsGNHyvLzKTh6B2C29jQ+axDHlixmw2tvsj8+iqsGxxMkyyi46Q3zB0t5GQSpOwzZG7Rp14427doFpLKs410CdopKDWm7VlRzGnbTtOvo20ebOd2Wo7s20tuStnV6yh8+adIzMvj+h59Y9s+/VFSY+PHbr1Sn4SuMB7eBwYCphXl9jiH9CGHzzUqKjEnAdM4V5I++CRkchiHjKGGWeIa/viXop9eJBErW/0bQzlUYTx6gdPjllHc+i/LuQ8n6ZD8RBzdQmNCW3267j2NLFgMQ0749g595klZDz8K4+AtEcQGhezZUlimzOIgjsgmGP1bQ7qKJmrYBezLg1eRaq9rA/Y88SoeOnQgJDdW8RdsR/mzTQwcPcMXkyWRlZdK6VQrjLrmySv4i8wRBO1ZQdpbFMiAlFbOeI3TXKkK3LQegZNBk0idN58CChRw4ZwRpK1cqyjs4MoKmA88kvHU7ZHk5JdnZxLRrR9KZZ9Jk2HAMKtaxGIKCaH3RZFrbrWXq+8yzBIWFOYkFif0HMH7lKg7PN/vtKc3LI3PrFg7NmUP2zp3mckZE0PzswXSf/iRxPXqQvnYtG6c/zNFl//Du/EL6P/owSU16E1VWhiH4tHITtHMVpmbtCVk+G4xGSs69VnF9dHScEXAKjpqXjKuXxqhzRnizWJX4a0D9Z/kKFi35k63btjPjycc0vSCt4Tdv2Uqj2NjKXWWqkRJyMjDsXI1x9quE7t1IyaDJFNz3JQClZ46n8IqnCWrblbKUHhxbvZ4Dr72HMBqI69WbZBFGdMsWyOQOlF/6EMafXid0qdmEXda8E0uef4fDC86nQVISjbr3IC4lmf++uIHirCxCGzXCGBpGzu7dzJt8KS3PHUnzzlPJW7eCioP/kRhRQWoubD9RDuyDJdPY9d2PnPP0/YS1ag9h6hQWe4uM0jiO4tdmvFEPaxpCiBqZDvDoWBYpCV4zj+DvnkFkpyEHTiK//+WEhIbSNLic97oFE7J1KbTtCvnZNFj4OWHz3sHUpPVpBUcIwn55HVFeRkVEDLnn3sTi33Zw+MkeyIoKAEJjG9L51tsxFReRsXEjmVu3EhYVRWz7djTu35f4bl0xNE2hWYeWGENCvNa3HP2+rpQbKw2Skuhw7XVV7pW+8hq5e/YQEtuQxCaNqpQzoV8/xs/9mZVPPM36V15n+fSnYfrTIASRLVvS5ZZb6Vu+mQZ/nf6Aq4hJpGTIpRDqeOdjff5Q0FGH4redEOIf4D4p5SpfFcaR2V8Jzly+jz7fPNDMXrBQdVkyMnP4+ItvOLu1kd5OyuqtwcaR8jJy+FBimrTgjpumMW7sGM0v0c1btjFh8mUABAcH8crM5xh7npP1TSYTVJRDsHlh95K3nsW44AOGBZ0iVJRVBquIjEXGmk3zFWVlHJ6/gNS16eR+9jrHV6zC5GB7fWSzpnS97hrajh9Po5ZdCZ55BUiYtyKL/btmA5B34AB5Bw5wyBKn2aCzOOvjTwlv0pT/3nmb9U88zqFFSzi06HS6YfHxNB40mHF33EHehtWsmvEcJasWEfrgEkTvYchbX4W4ppXrfJRQWwZQf8ikJzjqo5POG61JHgG+/PQThg7oRccO7TXFLy8v55GH7qNRo0ZMmDyF1m3aOAxnOLGPiPf+R/CmPyrvhRzaQv9r2vLUYw/yz9yf6bLva5i+zOwgTwiERWExtalqNS66/CmCw0I52WYICyZOJm//frMF5fyxtDl/LCmjziW0YYxipdqQn0F5eCNFZ3q5w1tjWEh0NPF9+gBgdFB+IQQDn5xOfLeu7PlpDifXb6Lo5AnyDx5k9f33UdotgeGNBYSFU9qkPfsiOpH/42zaejiVqaPjVsERQowCJgCDfF8c9TianlKLvaAndhgIu1YwdcwAjuxapznd1996lztu07ZrJDo6mu49e7Hm36WEh4drSqO4uJibb7uj8vqu/91WqdzY1llknaTBd88R+tdXFF77AiWjrgdgQKMgWgabdzHJ8GhkUgpFw68gf+AU9vwwm/Rrr+b40mUUnTxRJd+EHt1pcs65CIORrI3rSN+4mfxjx1n11DOseuoZQmKiGXjDDRxdMI99u44R17MXZ3/8CQCpK/4lf/tmWp03muShQygMMi+UHHDr9XQZP4YjS/8mc8cu4rt1IXHcREJsHBC26tuN1mPH8PdlF0HFbkI2/wHTuiMNRggJQzZvT4OuQyie8hAyIsZc99wMZHS8pvatKQJdJp0xydL3Jp03moVzZ6uOf8U113qkfGZmZvHX4kXk5eXx2UcfcvcDD3LNDdMqnwdvWET4+3dgPGletCsjYym76B5MrXtgtOzmPGfkcM4ZMojy7xIxrF+MOLoLpMQ08EKyz7mR/btTKXnvPUzFRZQXFFCUnk7hvt0cX/UY5QUF0Lw5ly+aT4ydGwul9Zo7fyHdunamU8cOgPrpb5PJ5BXlSAvtL5pI+4smUmCMoKK8nKO//876Jx9n49ZtbNlhwBgZRGn2RmAjcT3+87mCUxcsrTquUWLBGWQJl+/jsjhFy5eG1XoDp78a1S4Ubt6hl0sFx9mgZC3rRRPHu83D1cAWHh6OJNzhAlUli1vDwsL4dtZnrFm7noKCAq66YioAYtNfGHatpQFGjIe2E7x+IaLMfNCfwTK4Axh6DGXT9vNpc+mthHTsS3lJCVs/+pR1t/elOD29MlzDjh1pPeViktq3oskZ/YlISqoszzsvPsvwRx8iITubbZ98Tuq69eQfO87Sl94HzMrQxAU/U9bQbBGK7dSpsk3Ky8uZ+cIM7rzxGiJiGxLZrBmdpl5apY72LRPZrBnDfpzLoguG0yPkGIlR0CDEBMUFiL0bKTt0iMx+l5HUojHZHz1Ls2XvMetoG0at2KDYnqn1JevFdTi1UiZ9iZKPnLCwUBrFxdEgPIKHn3iCEeecW+V5WcczMVSYkCENKOk2jJXpDdl++yuU5ubSeEB/4rt2pqK8nEOL/0BWVND87MG0nHAzUc2acHjFGjadP5XSrCyn+TcZMoQOM1+qptyoYcpFE9yGcbaLMz8vjztuvolrbpjGqEHaFpyXlZXxwzffcNmVV2qKb8UQFESLsWNpNnIkax9+iB3vv4cpO4eg8HCajx5Dq0mTVB01o6PjCLdDupTyMQAhxEhvZapkcCwrKyM42H8r7CNMBVV2UFm3iCd30L7zpFnTJpVp26L2xZCVlU1sbEOHz9y9MFskJ9MiObnKPePynzD++XXljy+FoHTABRRd/gTlzTtScPQI+QcPknfwIKXhXVj+7jcUnHiV9E2bKDiZCkDigDPoctkUEnp0I6LfIIQQDsty3uhz6dSxAwaDgRbDhwFw8PfF/HXvgxiCgxn3w9eEREVRVi0mBAUFce1lF9GwYYzrBrJgVSAaJMQz+Nc/2PbxZyxctJjS3ccIyssiLqSEwtJMMvr3xxAURGJ4ORf3hZDUfZxc/g/RQ8+slmZWVjZvffwmdz/woKIyKCmjp3hbJpUqXt6UydHnT2Lh3NlV2sPXU4PR0dF89cNsgoOCiDQVErH9L0TGUSoGjIPgEPIzU9na5yZObN3J9le+rfQpgxAc/3cFx/+temL5zq+/ZefX31a5l3jmmTTq2o2g8HCMYWGExcfTqEk8MWcOIbyJZXefD+vpaip7+d/LCA4JYdPGDZUKjlpFNTg4mL4D+ntUxhnTH+OBRx8jOCQEY2goZ7z8Cn2efIqKsjKCIiIwuvFwPOub7+napRNte9Vyn0g6Psdri4yFENOAaeDei7ASPnj7LS6+/HLi4xM8Tqum8OSLvcAYwfq1a3j7tdc475yhldYXW1x5To4wFUBZKWL3WgxrfkN2H0JFn3MAqDhjHLJhImUhEVREx1PS5zwOzFvA9mtuJXPLFrMp3Qnx3bpyxvRHSBl1zumvq4pCp+G7dO5U7V7KqHO4+tyRyIoKt7s/WrZIdvncGeEJCfR/8D76P3gfUkqkyUTaxk3s/Ppbsr78moqyMsra9OLvviPp+dQE4nr1cliP2NiGPHbv7dUsRYGOrTw2T9bWhrYvv8LCQt569RXuf+RRt2EdMcnZui8/UpSRRpNFnxD619cYTh2rvF82+CJW5Ldk45vvUF502pFkh0un0Ov2W4lOTubY8n/JPXyE8qIikoeejTE0lCN/LePwX0spOHGSxn370HziZJqOGFnN6uBLa5eatEePHcfosePMFx4oWe07dNQcF+DZ6Q8gRBkFnFZk7H32uGLqpVOA6tZbLQSaJVLHu3hNwZFSfgB8ANCnd0/5/ttvceOtt1UJ46wjOVpgd+udd5mvNQiio8F00nmjuffdT1SnpQZvbgX+5afZPP7Qg5hMJu66dZr7CHaIfZsIfvEaRNphACr2bT6t4PQdRVGrfqSfyOToot/Zdc855B8+XBm3QUICMSktiW6VQlRycyKbNSWicWOikpuT0L0bQuEcvqu2EEIgNJwppAUhBCIoiMb9+tK4X18GPv0EAGUxSZVhfGk9ePLRRxQfeOotbOWxZ+8+csf27aSlnmTIcNe7C+37sPUFEB4eXqncBOoibNuy209HB717NzFLvkBICUBFWASlMU0oN4Sy89c/WbcuEwm0PPccmpzRj5RzzyGhR/fK+K3HnUdJaSkHDx4iyXJEQHzXLvS6/ZYq+ddnlPYLf007OVNedu3cwcZ167jk8ivq/W9W1/HZNnF3Xk+VCIM7hSHCVOAVLd6XnTw9PYN2KcVbAAAgAElEQVSEBPWLWFNateabn+Zw6cTxjs9cKcjB+NvHyMYpVAyaaG6nglyMP7yEyE7FsHIuoqyEvKhEGgyZiGnwJNK3bmP/vAXsn7eAjC1bqyQX26E9/e67mxbDh9HAprxa58ED9SUIEGL5WnQ0LeYItf3DfmB9+PEnVMX3BS1btVLslE6pou4ujLuv49HnT9K8o8pVeRyVSyYmgzGEE9HtWL7iEIeO5AF7K5836tiB4W++RpMznE+/rFy5mqys7Bo9A2nZ38vp1rULjRrF1lgZajsdOnaidZu2NV0MHT/gMwVHq1kcfKdwvHTzteYBVeHLt8Ky9ROqn0HlCNuB9cjhw9xx8420Sm7Ge2+/XnnfWd3E8X0YFn2OYes/yNbd6X3hXRw2xvDzb7/TKP8kYt2vENkQmZCMYc1vGBd+jMjPxjR4EhWDJprTOLqLoF/frkxzuaEFX/8XxoXxZRx65TpyD5220gQ1aEBU69Y07NiJblOn0GLEsGqWmQ8//oz8/HzuuqOqJa4+4W4htxL8uZbMGeHh4S5349VlR4QFqalsWJ/Jnn8NFORuAyCicRIxbdoQHBFOUp/e9Ln7Drd+YIYOUXFQrAPWrl7NwvlzefrheykNM6+pU9Pmn30xi3fe/5BPPnhHs4JTkJ9PSEgI+Md4GrAEgkzq+J6Ac/Tna6xbVK2LHMHxy2v//gP88ONCzumhze1/bGwsky6+hLbtnH/tRZgKICcD4w8vYVz4CaLCctDSgS0EtR9As9E3ACDmvUHwh/dXi1/UvCsHssI4eu8DhMXF0SgmhKS+kykoMrFj00G2L91Aa2Drzt2Aeeqp9dgxtB53Hs2HDCYoLMzliy0kJJj+/bUvsl7yx1/8vngJT05/RNNW9/z8ApavWMmwIYMJVXjoqpoXtf3vXpdf8oGKdTp59oKFVWTSESePH6dNkrIF57b888Aj7Jn9MwBRA87g3Ken0/TMAdoKrJHy8nKeffJxcnNy+HXAGZVrYZT2ueLiYqSUnD92DFnZ2VWeKe2za1et4tEH7mP02HE8dOfNGDVOEe/etdPjdTju0NfG6HgDxQqOlDLFmxk7Emx/vWCsW8hdDair1qzlyLFUKropM+vbExkVdfoUaid1Mn78EMbfP0WUlyGFgZOxnfnvSBnNksIoWruDnF2vUZyWRsyJrbRq3JvIEEloQQY5YQms2ZLF9sXbgG1OyxASHUXbCeOJaZVCs7MGktSvT7VFva7a29HCZqVs2ryFGc/NJCkpkaLiYk0KTkhICMePn0AI7X47duzcRUlJCT1t1lPY4myHm/V+bm4u8+bM4YapgXcwny9k0vZvb8mikgXGSsLM+fpzLp48iebNnZ+35Ig+d/2P0rIKetz/APG9e9eIEluQn88jTzxFUuPGNG6i/qMpLCyMa67S7hdm1Yp/+d9NN1JUWEiD8HBKSko0yWRZWRnr16zxSMH56ucFnD9+AjFOtrM7u2fl98V/0LpVCu3aOnbUqKNjJWAtOB+88zYTp0whIlabkztPuWTKRQzr3pQTezdXe+aJc0Hrl4mUktywRGLLyzlWEcfi1afIyP8PgA0Ac6qukVle5eqIOa3GSbQZfwHRLVpQnJVF/rHjFJw8SURSEkl9e9NhymRCFW6x9jY9e3Tnr8ULOHT4CHGNGmlKIyQkmGuvdn3ytL3PD/uXV1yjRpSVKV1tcxrrCz4yMpKhI3xz7EdtorCwkPffepO77n/Ap/m4+ui45y5tJ7In9OjOiG+/86RYHhPTsCF9+5vX95jXDvp3iuSMgWexdNUa/v7rL0BWUW7UWEuCg4O59IrTPnC0KIvt2rc3OxuUrsPZl8uaV++ePYiKcr/rKlAsQBEhIZqODIkM0afRPMVnCs76tWvo00+bv4QIUwHTLp9CRIRz5caZYKndjupsQDUYDBiNBpp30H5gp8jNMJ+yfXgr0mBElBRSkdKNvfkJbH39NbK2biU8BApLT2EMC6PDpRfQbvyFZO/bT+aREwijkahG0YRER5G1ew+ntv1H9r79JPToTrtJ42k/aUKlh1VQ99XtD2uZEIKUli0UlcVXJCZ65mbAYDDQtFkzReu2nLXp/F9/cbvo3tecOpVBXm4uKa1aV3um5Mym8PBwbrpdm4LhKXV5usKf1qTw8HBGjx1rvqjBqdiu3Xt4VG8tmzZsST15ksOHDtFvgH+nKXX8j08UHBNGjhw+7FbBcfWStVdulAxyNbl+osqpwjnpNPjuWUJ//whRXtV6IBBsWyHJKoCwuDiSRw6j6cCBtJ1wIWF2zvx8pYRY21Ffc+Lc8uNN4uJr/iiIvNxcsjIzHSo49jhriwYNHB9+qCUtf1JXlaO6jq9+t9DQUKKionyStk5g4TMLzvhJF1W5VtJZPd12GigEbVxC2Px3qZBw4BQcPAVIKK+A/BJJvghn+JvP0vHSKVUsMPb4Urmpz2hVarT2vzMGnqU6jrdJadWaLi2SKr/cbetha70JBIXEkVXVk3LVlnGjvmD/W/r792kYG0vDWH2bfX2gZk5dC0Dshe7YseMsWrZGdTo5Bw7y6wufsu4QfLESFmWlkNV1NPtCWnMstgvGIROYsuxPulx9hUvlpri4mF/nLaDYwcncSutQG3A1sBUYI9wOfJ64+rdP25VnaLXlqk+483XjLT7/chYZp055LT217N23nx9/moOUbhaP1BOsiokSGfX0A9f2mS57OkoJKAXHG1YeLVgHYduFwwajgcaJcQ7zdrXAuKK8nLRVq1mVlUCXtz5j8vYdjPtuFlduWstlK/9m9GcfEavAUVhYWBgHDh6isLDIbVhfUVZWVsUXUKDijak2fdB0jBoF0xZfyGmLFskYDe63NlvLtGHfQa/lnZ6RwUOPPsF//+10Gsbd4bveYPmKlRQUOD8aRSs1/XGk9OPCii6vOkqocQVHS0d11vG9+bXYpHFjRo6/ojJdpYuXY9u1Zdisb5i4YRMxw0d45Jb8jttu9shj6bHjJ8jOztEc/+HpT/LpF1+5VHJqmzXD0/5W0y8CrWgpd03+ro5kediQsysPnR19/iTV8r582TI2bdigqTwJ8fF8//Xn3HnHrZplOi01lTdeeZmiIvUfLUVFRTz06BPcde+DHDl61GEYJbJoMpkoLSlRnb87vLE+sjaNIzq1gxpXcOypqU4++vxJVU4Tt3LlvS9XCaOEFuedR1hcHF9/8Xm1Z9ZByNf1LCkt5bU33iLj1CmXeTorx/79BygpLiE9LcO8pdMN9umYTCZ+njOXa6fdwvETJ7VVAih0cfCnvd8Wb+DpWg9vlqUmcGWRsf5zdN9faFFsALZv3cKMJ6Zz8sQJzb+PEIJojYtTc3JyuP3GG/j372Vk56j76CgwRpCalk5cXCMSEhuzZu061flXVFSw6LcFXDRuLHffdiuFhdqtQGoVJC39Q1eIdLxBwCk4rnDUobX6o3HE0V0bgdODqKcWof/dc69H8T0R4NCQEF58/hnatnG/a8YRrVu34o1XX+TB++92Gc7huT9S8sIb73PPAw/TKDaWEI3+HIqKinjmicdJV74MqRrp6RkcO35CVRzbl3ZxcTF///Nvtee1CSMmVeE9XRflLWzlz5k8KpXRLt2689ufSxk+cqTXyqeGmJgYvv35F1564y2aNG7scjrLkeKe0rIF9971P36YO49JV92gOv9PP/yAe/93O3v37OaaadMUfbQ4oqysjFdffEF1PNt6bd223aFV2JES7UiB3r51C6kn3X80Kdm0olO3CVgF54fZP5OVddoluT8G1Yc//LOKxcYd3pxe8wf+ylsIwR333seP8+bTtEljIiO0/XYNGjTgmRdfIlxjfICMU6dIS0urvFbbBkIIhKH6lIQ/1lsEEsXFxXzx1dcuw/hqfZy3pp6FEIQoPPLDFwghSG7h3i+UUtQom9fdeBNzFi7i/PETmDtnDkFB2jbQBgcH88Cj0yuvtfzm/+3YpXptX5V6CqFZQXOapk6dxGfbxDPS04lP0O5krWv/QYiYRKDUe4XyAu7Oy1GC0kFh3Zo1dO7ShQTXZwB6LU8lu4rU0KFjJ3q3886ArnUhcaeOHZw+s92e6izt0NBQBp/lmZXw4IH9ivzP+JLM8iBKSkqIjo5WHKdKm4SFMWjgmS7D2/cfb66Jc4VamdTSj6SULFryJ/n5+Uya4Nhpo5YXprN+raW/uwvfuk0bnn3J/AEX5OSIEn9w8eSJHsXv0rWbR/GLiorIzckhqbG2Y3h0ag8+s+A4Wn+ihhYpKQF94qutszxXaFUSCowRlJWVemUXk9b5bJPJRG5urqL0tdbTW1/9SresWsN6e47fVd5Lfv9dcTq+Yu+e3axdtVJxePtpkgJjBK1bt/JF0WoFQgiiIiM1H1DpCmf9xv5+aWkZX376CYcOHlC0/syXSouv1tWAd+vjKM/UkyfYunmT6rR0ah8+U3A8WX/ibg2AozD++lpUk9cfizx7sZ151iAiPfC4eeDgIfbs3acpbnl5ObffdR+ffjHLaRjbxctalAFfeRHW+iXtK66/6Wafpa0EE0a6dO3GiHNHOQ2jVOGzKoeBZt53J5PpaWm8MvN5Vvzzj+ayDzxzAOMvGKcpLsCmDRt4YcZTlJSardJqtkafysxk4pTL+Oi9d8nPz6/23F4WndWxqKiITC/7EnK2+NzVtT3247o3+5d93imtWjNylLojfXRqJz6ZolK7qNEe2wFUzc4ff+Js27itqdxoDNL8EneUvtqpMSklRpu5ajVfRkFBQbz20gvk5jm24Lj7DXJycvj2qy/ZvHYVr730QuX2XrVp7dm9ixYtUwhV6fHZU984tv1PX4xYlUCQP0c4UnLuH2KWmcioKCIjozSvwXGmQCmVSSklJ08cp6SkhDzCKDc6P/bCOv5VWWzbqBFvf/o58+bMISQkxGkcZ5w4foxvvvqS2d99x5Bhw5n51CMuZcoV27duoUu37pX5egu11nBdLnXc4bOzqJTiyddgIL58Rp8/idkLFgJoOoXa1Zeo7TPrwGq952igbd0qRXX+toSEBBMfF+ewXNY62mL7e2Qc2MXaf/9GIDA4WKRrG8cVB/fvp3nDBkTExbkM54z/duykqKiYPr17aoqfk5PDN9/P4vprr9IUv77iT4uqK2zlY9ott3qUhrv0rVg/ThbOnV3Zv4UQjB47jtFjT1uA7D/k7Mcy24+jAmME8fERXH396R1Uth9BC+fOdjmWlpSUcGDffnJzcujctavmRbrl5eXs/G9HpYLjbgx29Ozb739k4vgLK3dXOiqzK2Vm6dzZtGnTmo4d2muqg079QfjC7XjP3n3k6r8XK9bIbcNZ7z376jtMvfpqWsaGu0wnwlQQMIOpI6yKgD+cEzrDdvBVqkyqPZUdzHW1raeUkuMnTtKsaZMq4by1bsneOuZokXR6RgYmk4nGSUlVnlnb3VZRc+QOXkpJUephtycYq1HS48LD1ksp+yqO4CE9e/eRf/5b3ceTLfYvR/u2KC4u5uXnn+ORJ550GMYazoqW/uMPAkEe4bRM+lIeofqHyMp/lxMWFsagnp2q3Hc3xrryj6SWrdu2061rlyp529bPfhyxJzs7h/DwcFXuJ9y1sy9lUon8OWL4wDPZtHGDdk+xOsoUHCHEKOAtoCkwH7hOSpnnLHzP3n3kI48/7nLO3x6tbrkDXcGp7zgz4bv7TW1xZLmyTcNewXHVl5T0FdsvbzUDuLM6LZw/n9Fjx1ZeezqYapHHWT/8QFZmFp27dnUYxp2C4wpHCmagKjg6jmVSrYJja6XyBKXy6Cm28nzwVAFHDh+id99+lc91Badu4naKSggRC3wDXAssAz4AngbudJmwRj8L9rgbXHXlJrBx9Ps4Oila6e/oj99bTR62dbHfdm79O8qDheL2aJVHIQyKpyU8nfbVlZvAxlH/djTlrOR3DDR5BPcKUZQooWGwfmBqfcCtBUcIcRVwhZRypOW6DzBfSunUiYAWjdWZMGkVPB0df6JmysGTr0VvyKOjL3JHPoFcLay1t/boHxo6gYS9kuPow8MW3YJTN1FiZukObLS53gYkCSEipZTV9ysC+/bs9poSoiszOrUBP77ga1QeQbea6gQ+eh/VAWUKTjRwyHohpSwRQpRb7lcOqEKIacA0y2X+0qVLd3mzoG6IBzL8mF9tQ28f1/i7fVp6EFeXx7qB3kauqU0yqROgKFFwsoFKpw1CiBBLvCzbQFLKDzCvB/A7Qoh1/tyVUtvQ28c1tax9dHmsA+ht5Bq9fXS8gZJVhzsB260XnYA9Usoi3xRJR0fHBbo86ujo6ChAiYIzBxgshBhs2cHxLOD6WGEdHR1focujjo6OjgLcKjhSylPAVcAXwBEgDXjOx+VSS42Y4msRevu4pta0jy6PdQa9jVyjt4+Ox/jEk7GOjo6Ojo6Ovk28JvHJWVQ6Ojo6Ojo6Oo4QQvyOef3gIcBqZRGAlFKe7a18dAVHR0dHR0dHx5+MAbYAI6WUJb7KRNuRsj5ACHGVEOKgECJfCLFMCNFBCJEghJgjhMgRQqQLIV4XQhgt4VsJIZYLIYqEEKuFEJ0s9yOEEIuEEGlCiEst964WQlQIIcrt/u2syTqrQQhxmxDihBAiVwgxTwjRRJh5xdI+x4UQN9mEr1ftA07bKFwI8Znl3klLHwq2hK93baQGXSZdo8uka3R51HGGlLICmOJL5QYCRMERQrQD3gZuBhKAhcC3wFOY/X40BnoCI4CplmhfYD6LJwn4EfP5PACXA7OA9sDVNtksklIG2f3r6Mt6eQshRFfgSWA85gMW84CZmM8jGgl0BkYBM4QQvSzR6k37gMs2ehDoiLmNegL9gVss0epVG6lBl0nX6DLpGl0eddwhpfzP13kEhIIDDAf+klL+ZvHn8RLQAyjHXEYD5vk5I5AphGgB9AKeklLmAi8DKUKIjjbh6tL029nAPCnlaos7/llAF8yCP1NKeUxKuRXzgHBxPWwfcN5G5wAvSimPSilPAh8DI+ppG6lBl0nX6DLpGl0edRQjhJjui3QDRcGZA9xuc90HKMT8tTgMswv6I8AxYD7mgXaH1bxlMXftBNoCX2H+ovwP+MhP5fc1HwI3AAgh4jDXbwXVzyXajrkN6lv7gPM2uh5YZBOuL3Cc+tlGatBl0jW6TLpGl0cdNYz0RaIBoeBIKVOllAcBhBCTgLmYTZmvAKuBhpjNmi0xmzOjgRy7ZPKAaCllvpRyhJQyUUr5g83zc4QQxXb/7vVtzbyDlLJMSlkqhLgB8/ks4zFPF9i3Q57lXr1qH3DeRlLK7VLKPMs8/pvAROAF6mEbqUGXSdfoMukaXR51AoGAMfkJIeIxmyv7ANdJKX8VQjwHnCmlzAFyLAIxCngfm/N4LIRjdx6PHYullLX6aHIp5YdCiK8wfxnNwfwVbdsO1jbIph62D1RvIyFEE2Aw8BmwFegtpTwqhOj8f/bOOzqqogvgv9lN3/SEEEJCEiB0pFdBmiACIoLYFQXBAiqo8KEgKlgQC3ZQ7IIVBBvYsABSpPcaIEAChIT0utmd74+3GzbJJtmaBHi/c3LOZt/MvHlv3513586de7lM75GtqDJZPapMVo0qjyo24pZ4P3XCgiOE0AHrgHSghZTyB9Oh/HJF9UAecBBoKYTQmOprgOYo284uOYQQM4QQdwCY/CEWAKHAKcrmJWoF7OQyuz9Q5T0aCSwDpkoph0opT5mqXHb3yB5UmawaVSarRpVHFTtZ6Y5G64SCg7K+elpKOdbkkGbmR+BpIUSwECIWZUfHMinlEeAQ8KgQwhd4CtgjpUyu8Z7XDOeA6UKIxkIIH+BxlNnPO8DjQohQIUQ3lPv47WV4f6Dye/QIMEVK+bVl4cv0HtmDKpNVo8pk1ajyqGIzUkr3pJuRUtb6H/A2YETZoWH5Fwt8hDKLPAk8YVGnGYovQAGwBoitov27K2k/rbav3cb74wHMB86grFOvQnG+06IMqDmm+3Pb5Xh/qrlHuVaua/XleI/svJ+qTDr2vKkyWfX9uezksV2HjjI9v9Duv3btO8ja7vvF/qfmolJRUVFRUXET7sxFJYS4BmUyEoWym3GclDLHljJCCIGyHX8cyjLzbCnlQlOdeOBzFP+7XcDdUsr9pmN3oiT4DUTZ/v+QlLLE7gusAerKEpWKioqKioqKjQghQlDiLE0FolEcdefYUcbuoJRCiGbAm8BNKBa5tsAkF13PMSHEUSt/h4QQG4QQc0zLlzajKjgqKioqKioXH8OBbVLKFVLKDGAucIsdZRwJSnkris/deillKsoyZPlzOsoHQCKK4jUEmAycAJYDs4DuKM7qNlNntomrqKioqKio2Ez5oJJ7gPpCCH95YWNApWWsHNuLYtGpEHRRKDm+mprq/FmuTlMXXc+DQGspZabp/wNCiPUozub/E0LsRtltd7etDaoKjoqKioqKipvQYkBnyLO7ngYjQogJwASLr9+XUr5v+hwIJJkPSCmLhBAlpu9zbShjd1DKKuq4ghIgBiVmlJlQLsTI8QSK7WlQVXBUVFRUVFTqICZl5v1KDpcJHimE8EJ5p2fYWKZ88ElbglJWVscVPAH8KYRYhrI0VQ+4GZgvhIgGNmDnEpXqg6OioqKionLxcYCyQSVbAoelEljRljLlj9kSlLKyOk4jpfwC6Imi3MSghAEYL6Wci2KRul1KaVdSTlXBUVFRUVFRufhYAfQWQvQ27ZZ6AfjCjjJLsD8o5VfArUKIVkKIKNOx8ud0CCHEQ1LKw1LKF6SUD0gpHwOOCSF+l1JmSin/sbdNVcFRUVFRUVG5yJBSpgNjULZ0nwRSgReFEHcJIY5UVcbUxCJgB4qPzlJgspTysOnYXcBo4DwwwNQGUsq9wAxgNUp29z+BT110SfcLIWaDsr3dlOduC4qy5RBqoD8VFRUVFRU30alje7l+zZ/VFyxHj9792bZ9h1uSUNZFhBChwE8oPj3dgI0oOcv2O9qmasFRUVFRUVFRqVWklGZrkUSx2lzvjHID6i4qFRUVFRUVlVpCCLEfRakx4wk0AY4KIfIApJStHGnbrRYcIcQjQoibqymzQggRbGN7cUKIQtf0rrRNIYRIEkJE2lhe2lrWVQgh/IUQ58t910QI8Y8QokAIkSiEGFeTfVK5+LCURyHEMtOz00kIsdyONu4WQvzi4n41Ng1ytpTtawo6VqMIIQaUv24hxGhTePk8kyy2qOl+qahcAtwPPGDxdy/QD8UPyPydQ7jNgiOECETpYNdqin6MEob5UXf1pTKEEKNRcmo0qulzW0MIoZVSGiz+90Lp3z0o8QYs+RjYjRKKuzHwuxBiq5RyR031V+XiwYo8jgRaSCkPCiGOCyGGSyl/qOE+BQGjgIlcCOZVa5SXP9N3DYAbUManIxbfh6GElr8V+Aslv88ioHeNdVhF5RLAkd1RtuJOC854YIV5wDDNgHYJIXKFEN+YHIpAcSq6wTRgVEAIMV4IcVYIkY6FJieE0Agh3hRCpAshskwz0kAhRAshRKEQQmdR9pQQor+V5vtTMWKjLYwTQqQKIc4LIR60OM9dQojDQogMIcRi07Y8hBCfCCGmW5Qr/d/0cnlSCHEW6FzuPD5AX+BcuXviA/QCZkkps6SU24FfTNejomKNUnk077AA9gohmqC8qJ+yVskkZ++a5PYISpwK87F6QohVpmNnhBDPm76/XwixzqJcgslapCvXfJipvTN2Xou5T3kmC0pP03k8hBAvCyFOCyGShRCzhBDCdOy4EKK7RZ+OCyG6m6zCZ4QQz1FOzkxEAx2B5HLfdwN2SClXmmKKfAK0tvM6VFRU3Ig7FZxRmHJWCCUK4RcopqhooAAlgRcmBeg/lGymZRBCNAVeNrXVBCWokJlrUV7+LYBYlKiHY6SUB4BjKDk1EEK0R1EU1pRv37TX/l4Hrq0DkADcBrwihPAyDZ7zULbWNUYJO/22je31B1pKKTeV61+2qX/Ty5UvAbqatgAihPAA2gMpDlyLyuVBqTxKKc25Y6KllImmrZ8xQolrUZ4xwJUosjcYk1yZmAacBcJNZR4QQrQFvge6WkxihgK/SSnLxKuXUh41Pd8v23ktCcBx03m/AGabvp+Koni0N/VnFIq5uzoiUKzZFa5fSrnZ1MePyx36DdOYJYQIQLGyrrfzOlRUVNyIWxQcoUQ+7IKSiAuUAEJLTRlIM4GngREWVXZhMTO04GZTvXWmerMtjv0HDAOyUVK6F6LMCEHJPjrU9Hko8KOUssTpC7vACybLyS8oDlERKAnA3pdS7jBlbZ0BjDTPIKvhFZMHuU1IKUuklFtA8UtCGWxzgGV2XYXKZYEVebTGbqzL4G3Ay1LKE6YAYJah0hcAU1BkIAglT0yYlPI0SvyKwaZyQ4HvnLqIsmSb+lQArATiTN+PAZ6RUp6VUh5HmXCMsrHN2VJKm/37TDJYKIQYhGIFnoLr4oGoqKi4AHdZcMJMbZuXf2KBCaalo0KUcM8BpqUWUIIJWZs9RqOEbTZjaaEIBBajBBt6FQixOLYcxcIDStp1Vw6uAKctPhtQZn+xWKzRo5i7fYAAK/XL3/dMK2WqRQjxMEqY7O1Afyml3pF2VC55ysujNRyRwWYo+WE2AI9R1o9mOTBEKFmLewA/2t/tSjkjLwTwMssfWJfBiErasJTBYillviMdkVL+hiLnNwGfixregKCicqlgWm4+auXvkBBigxBijlAiK9uMuxQc84BjHvBSgdeklD5SSh+U2V43ixmTRMk7UZ6zlHUAtvw8G1gvpWwipRwGJFocM1s3+qHkzfjdmYuxgrXoiOdQXgZmEoBMKWU2yrVZ3uvKBl2bMfkMTAT6SikfK5d/REXFkvLyaA1HZPBDlOinbaSUt5ervxzFgjMI2GiPhdIGKotOak0Gj5s+l8qgEELLBWuvQwghxgohpgJIKYullEuBNKChM+2qqFzGfIDyHh+LYpiYjDK5Wi3vU2IAACAASURBVI6yEak7dSTZ5jmUJSOzVWUZcIsQoqXJ0fBVlMyhZkJQBtLyLANGCSF6CGUr+QyLYx6AtxDCRwgxDGU93FMIIUyzu++B+cAv9pieneBblFDTrUx9fZoLJutTmByIhRAJwFXOnMg0K54CDDE5GKuoVEV5ebRGZTK4FHhMCNHQ9OyOtzjmAfgJIYKEENNQFHdvANNy1hmUgammlk6/BWYJIcKEEPHAwygh6sFCBoFbqLgr0V5OAVOEEO1MPnh3oYyn+5xsV0XlcuVBYLSU8m8p5QHTrs4bUXxrfwfuRNnRaDNuUXBM/i7/AW1N/+9GcZT9CcWaE4tyMWbaoIRlLt/ObhTT91KUDKe/WhyeAwwE0lH8BCahvPSvMB1fDrQDvrG3/6bdF6vtqSOl/BF4C8Uf5hTKjNG8M+VNIFgo8TvexnlzfQuUAfqgEKLE4s+uTKsqlwfl5bESrMogsBBYi+K/8z0XFAaAh1BmVEdQnseXgc8tji83tWv3ErEQYrUDz/MslCW0w8Am4Esp5QrTscdRlsl3o2xO2GNvnywxLU29hTKmpQMTgOGqJVVFxWFKULKIWxLKBcuzJ4qfn824LReVEOJxIEhKaXX7qUU5DYry0kNKmebC8zdAmU01sNeCY3IMXuTgDisVlTpHVfIohGgOLJZSdnHxOW8F7pJSXltt4Yp1WwODpZSvurJPKio1jZqLyjaEELcBb6BYfE+g7Iy+GcVAsBhlAvaRlNLmiY87t4l/AAwzbWGuiiEoy0iuVG50wDiUGZwjy1OjUczdKiqXClXJ43hgritPZlqmvZOK26tt5Sbga9f1SEVFpS4jpfwCZUPCCRRLjhEYL6WcC+QCt9uj3IAbIxlLKTOFEO+hrHcvrqLoeGyLVWEPy1GcISvE1rEFKaXdy1oqKnWZyuRRKNGEW0spH3fxKc+gxN1xaAejlPJp13ZHRUWlrmPy3XvByveZgN0Rj92abFNKudCGMte74byDXN2misrFjjV5lFJmcSGkgivP5VN9KRUVFRX34RYFJzw8TMY2isGAFgAtF9K7mL+r6nt7MbdjQFv6OS09E08vT4ICdE61be1crmyvNrC87+Up//tY+70cvX5b6zt7nuraqur6ncWW82zbvjNNSlnPbZ0oh1kewfl7avlMVCUL1p6dohKJh8eFISev+IK/oM7Lq9LvbO2XGXfLpyufT3N7tTmmuPP81tqu6reqTjYtx/jq3iX2XNfO7dtqVCZVaga3KDixjWJYv+ZP8rRK6hmd4UKEdvN3VX1vL+Z28rQ6dIY8MjOzGHHT7QSHhLLko4UQqD63llje9/KU/32s/V6O/la21nf2PNW1VdX1O4st5/EJCEtyWwesYJZHcP6eWj4T5Z+PqsoBTJ31PNNmzMTPT9mhvSHpQszAHrFRpd9tSzxOxyZxpd+Z2ziVVYSvnx8+PhWNQ64aS2zBlc+nuT1397kunb+q+1edbJrH+PL1rf3+9lxXmJ9PjcqkSs3g1iWq2iI4OIi33ltEaFgYOp0XjrzO0s6dI+n4MTp1qS4Z+uWD5eByKXGpXldd4+nnnse2zCUV+XbZcnYeSCQvL5cp0/5HWFi4i3unUlO4U95qU1FUqXvYtItKCDHJlKE3Wwjxk2kLtstwx0PZuGlTgkOqimtWdgZZnhK93upMUeXiorpn62IcEN0tj+7CUeVGZ8gjNDSULz77lA3r1uHpafvSlYqKyuVLtQqOEKIN8CxKcswolKSO86qqUxvryfa+qKpSbgAio6Jo3faKCt+rM33bUe+V63FEHs24cknF1eeqTh6v6tWT0NAwZj47h8DAQLvaVlEBdTy6HLHFgnMV8JOUcpOUMhdYArR2b7cucDE9lBdTX1UuWmpVHh3FUuGpTpmxhqenJ/PeeIN+V19d4VhNyZ2+uJiSkpIaOZdKRS5Ga6tK7WKLgrMIU/4ZIUQYcDuwvnwhIcQEIcQWIcSW9LRzru2lk7h6AKysPVcL4Moff6CoqMilbapc9Ngtj+fS0mu4i5XjiHJjpluPni7sie2Y+3zo4AFmTf8fRqO1nKQqdQ1VIVKpVsGRUuqllMVCiPEo2XJHAF9ZKfe+lLKzlLJzWHg9mx6ui+0BtFRsamLWGB3TiMKC2k1tk59X9jovtt/sUsMReawX7lTibIdwpXzU5jNnqZD56fzp3bcv+R7+tdan/Px8lypYdc3qrI4vKq7E5lQNUspFKAn1/gesEEJ42lr3cn1on505o/pCVXBF+/YEBQc7XH/9urWs+cv+HChmTmQWsPjTTxyuf7lRk8+5M/JYV7DcBl4T7N65k+XfOh6kPL5xY64ddp3DztIA855/rswyl1nBsFXR+PXnnzh86KDD5wcwGNwXB8oV2CpHdU05U6l72OJkPEMIcQeAKVPuApQMn5eEp58zJvPqePLpZ2pVCLt07UaPK3tV+D5Pq6v0z5KwsHAmPDjR4fPnaXUseOtNUpKTS/+vjvIxLha8+QanU5Id7sO51FSSU047XL+4WM/OXU4lnnYpl4I8bks87la5q4y27doxbMQNtSqTk6Y8WibYob3cMPommrdo6XD9lORk7rr5JtIcdCPQ6/VOT9x279xJdk5OlWWqGpcSE4+SkZHpVB9ULg9sseCcA6YLIRoLIXyAx4HdUkq3Lux/983XZJw/b1NZSwEwfzYajXy9pKoUWM5T3UDp6elpUzl34enlhacd0WDdwX0TJxHVsGHp/7Zs27Ys88DDj9AgqmEVNarm/Pl0UlNTKz1Xdej1epKTHVew3ECtyGNhYSFLPvvUprJVPe+F+fnkZWbYfX5XWcdqWybNQQ5ri/qRkbz7wYeEhzsW/NTT05Onn3veqT5s+W8Tq3753e56OkMeOkMe59LSyc3NdaoPKpcHtig4HwG/ozgynkXZxTGqukr//LnaqY516dadwKCgKiOlVoaUkrlzZvPGKy8jpXSqH7acT6VyNBp3JqyvnuYtWtKhfTuH6+t0fgy51qGcraW8s3CRU/XL4ZA8nj5zhgP79jl8Um9vb3pddVWVZcwvoPLkaXUcPXKERyc+yJSRQynIyXa4HzVJbViZ3I1Wq62w7G1rZHFXoDPkMWns7dw8eqTDbXTv1oWYmOgqz1EVx48d5deVKx0+v8rFgy1OxiVSyilSykgpZZCU8lpTxs8qcXY7ZUxsLFqt1iHhysjIJPHwYQICA0lOvvQGKRX7qG0fsGFDBrusLUfl0WgwVumcWp2cCSGIjYuvtHx19ZOOHyc0PBxdUAhh0Y2q667NqBMP+7FU3GpbNlyNLT5NkQ2i6Ni5c011SaUWcVuqhgGDnJv1OkNoaAivL1jAkUOHaNiwZh0ZVeoWjubZcUU4eXMb5kSXtUnDhlEEN3Lty8ye+9rv6qvRajVkBoZbddLdlni8xp2O6zrWcnW5qs0NSSkX7f12VjZ9fHzUKPWXCbW6fuDO2VdAQCAdOnWudMeDLcJdWFhYbRl1BnlpYM2PyxWz27o0Q67tZ/Wqfv2J71Bx5rwt8bjVz5akpZ3jw2Xf88GyFS5bdrak/HJUXVueqmv9qW3qklyp1F3couBUl/LeUWwdoF3x8J9LTeXzjz50uh0VFTN1dVB2p+Ljqhfzkk8+4bsPFvDZq3PZu3uXS9q83KjrSpyKiqtxmwWntmeL5bG3P/UiIhjvxBZpFRUV5zG/hIePHMWJw4cIjyybI86VSmP5F/62xOOlf5cSl+I1qahYo3a3uDhBXZ0Nq6ioVE7HJnEO1Ytv3Jg2Xbtzy8RHnAq0dzFRXsGyx+JSWdm6otjYO36r472KI9SaglPXLDwqKu6krgzQrnCcthdXLYXcM30mMU0TXNJWVVTV32+/+hK9Xu/2PlRGbSwr1ZVnV0XFXmpMwXFGSCqLr1EdRqOR7Gz7Ym7UJcVr/969arJNlcuCrYePWf1sSUCQ42lLqsKa0mDN0rH6t1+Z89RMjh876pZ+VIW5P0ajkbVHkpxqy3x/a9qaU5fGVpXLg4t2iao6DAYDs2fO4M+//qm0jHknlbOzIncJbkryqVpNtrl7506mTX6Yl56bU2t9UHEvNf3SOXPyBBmnrcubpRyaX741tZXZlmWg8HoRPD/vldJoyDVNSUkJX775Gi88eK9NQRstr8X82azcVKZEqqhcSrgtDk5l1MSAWlJSwsxpU/n5h++JbeBYSHJLHO3zS8/NYfYTj1b43jzYVDd4OxtLaPPGjehL9PTs1duh+l5eXiSfPMVtd41xuA8lJSVO5d7Jzs7GUFJCSGiow22U53IzuRvQurxNe++hvriYjxa9z8K332LolCfKHKupl+3ePbs5evgItwwf5FD9dh060K5DB6f68Pbr87l/0kPVysSGpJTS+9IpQQmwWFxYSMIV7fjnxxXcOnIEc16ax7DrR1ita41ticcpzEgn88gBIjp2c+o66gr2xLmqLbnXF+aRenC9A/XUdBTOcklacE4nJ/PzD98DcKoWIxlPfGQyUHuC1fqKK2jfoaPD9Zs2a8bc+a/TvmMnh+obDAZmTHuc1+bNdTiD8ZJPPmb/3r0O1TX34eyZMw7Xl1Jy/rz9uZNUyr5oX31pLm/Pf40SvZ6OLZvbbZmxZo2wl5atWnP14MqjStfEks0td9xRRrmpLKGkNXx1OpIOHmDg6FtYvHQZQ4dfb/f5pdHA6f/WsX/JItZt/M/++lLy3KynyMxwXCaSU07bFGOsMrKzs9EXFztcX+Xywa0KjjPWmh3btqLJTXOozZjYWD77+htuueNOhg8b4nAfnMU/IMDq9z1io2rE9O7n54efznHlSqvVEtPI8bD6Go2Gvv0HcNudY9BqHbMi3PvAg/ToVTEjuq38snYz855/zuH62dnZLP1uhcP1LxUMBgObN21yuP6VV13Fux9+hNBo8A8KqrKs2WLhajQaDeFelaerqAkcTXIJSrqM0Q88xGsvvkDrNm0d2k12/sAetN7eBMY2RjqQTkcIwWNPPElwSIjddc28/ubbrDRNQB1h/do1HE1MvOwssSr247Ylqry8fHQ6xzPnZmVmUmJQEqo5Epq7Q6fOdOjUuVYd2y53pzohBNcOu86pNpz1d+g7YADxTRrbVNbacxYUFMSEe+9xqg979u4j/oouTrXhLAaDAb1e73CIeqPBwPl0JWG5tReL+bvKnvneffpyJiWFV5b+4HJnYVek1biUsbR4RfXsS1TPfg4pR+b0Dr6+vk71Z96Lz3Eqy/HNE4OHDiv9XP5ZtOVZyM3J4Xx6Oo3i4hzug8rFgdssOK/Of9Op+n36DyDA39/qsfK7qmpicLPVjKxS97BMEulOKnsOt+3YWSPnr4pdu/fww+p1Dtf39PLimiHOWUMjo6LcthPKjCqjVSOExqk4Qq7Ypi6EIDQszOl2qqMyeczMzOT48WPVllO5+HGbgjNr5nSby7rzAXNmwFPXeV2LtcGxugHzYgsnb+1Zvuv2W2uhJ2Xp0L5dtT4bjoZjsKQyebPVsb4q0s+e4ej+vaXt1dSz42hwQndQ/v7Zeo3O+hddbHJYFdExMVzVt1/p/6pSfOlyUTsZVzUYSyn5cYXjvhPnUlP54L2FgPVEjCo1R00OrpfT71tbM9cesVEVzr35SPU7qf5cvpSP5z7nlmSbFyM1rXTUlSjIjqJaai4/LmoFByp/aJd/+w3PPz2LAhvjyJQfLOpFRPDAQw873T+VsjhixbnYqOnl04uFpV99ZXNZa1aTHgMHc+XgoZxPPVttfWvPVF34LWr6Wd+QlOJyxeRSk1eVSxebFBwhxBghxHEhRK4Q4h8hRHN3d8wZzqWm8srcF8nLy+XP33+zq+7lNIOvCSxfKtYG2qoGX3cMzjWFK5Z7KsPd8uiOfqcmn2LOrJnsWLe6wjFbrDcA0U2aMvjWOwirH1nhWG3I7Q/Lv2P2UzOYP+8lPv/4I5tDIVxMCkL5pcCLVR5VLk+qVXCEEAnAO8ADQD3gF8D2qVgtkHbuHAX5+QAcOXSolntjH3VhllnXUAfVC1yM8gjwy5eLMRqNvDr/LZcuMdWWspCdnc0rL7zAt19+yUfvv0e9iAiHQyE4i733wFaF8mJSxFRUrGGLBac/8JeUcpWUsgB4BWgnhHBdaFkrOPOiz/QP4ennX+D+SQ8xaUrFSMLuwpWzdr1ez8Tx43jisUf58vPPyDh/3qn2jEYjWVlZDtdfv3Yty5d+y/69e51yvrZUVswDqCsUmMtoMK4VebQHazsOz546ydXXXEN2djYip2J8KzPOOPTWhBXn+LGjvDj7WYYO6EdQsBLP56FHHyuzddlR9MXFvDZvLr+tWkmhaYJWHQe2b2XXhn/5+0BiGWuLpUy5IlL0tsTjNrejTtJU6gq2xMFZAfxq8X8nIB8ok8VSCDEBmAAQExPtqv45PGgNHX79hRgqjgXRrTHM8SXM6Ax5nC4wcO2w63jisUcJCQ0lsJrgaNXx9ZLFvPDsMzRpmkD7jh0Zd/8DNgfxO52SzNTJD5NtUpCuGTKUl+a/bteMtTIFZOvhY3RKiK9wD2w9fhlitzxGx8SUfl9bS7APzn6R7nENMWSlVoiP1aVpvM1WBUcxv3T3HzhIo5iYamN0dWwSZ1Xx/u7bbwgOCWH5yl8Ir1ePE8ePExMba1Mfykdj7hEbhZSS9LQ0Eo8cZvm335ZGYPf08iJu2E0EN7G++rjm8DGO7tvLO09Np6igAA9PL3oPvY6bJz6CRnNh3mq+BrMcVdUvS/mqSl4tldC1R5LQenjQM65h9TdARaWGqVbBkVKWevQJIUYBC4HpUsqScuXeB94H6NSxvd02aHtyilRHxrlUnn13PnPmzqs05oMrz2cNKSVbtm6ndasW4G//eXQ6Henn0pjxzLPccsedDvVBX1zM0q+/Yuvmzfy9+g8AEo8cZtiIEWVeelXx5OOPsebvvygxRT0dOfomnprznN3m+JKSEn5dvow+duTXsnzBJO7dzYJpj9CjV2+u7H0Vrdu2rbUlgdrEEXls37FTrW87KinRo/P3x9+v9vY1HE86wc23343Oz49Hpk1n6PDhZZQBa5S3KD06rWz4C3uDxaUmn2L3xvWkJB1jwZkUEo8cwcfHh8ZNmxIQEIgQgpDQUO54/Ak2nK+4QeJMSgoPjBvLyVMniWgYg8Ekl+2v7MWIsROqvB5X5fwyy2WXhhHMnzqZ86ln6dunDz169WZgFakwVFRqGpsiGQshwoEPUWaL46SUP7i1V3ZSXlHZt3Uz3y9bRoeOnRl188210qeioiJefu11bhw5giE33WF3fa1Wy5h773WqDx6enpw8cYIBgwYxcvRNfLToPW6+7XYGDr7W5jYefvQxZs99idycHDb8u47BQ4fZFSgs6cRJdh5O4tMvvuTYujWc/ONncjaOZOz4CWw7eiHDcfkXiXkGWZybw09LPid37zYy086xfetW/vztN15fsJCG0dFlyl4u1HV5tMbf33/HqU3reGT8XQCkHlxPRPOepce7NFWsC5VZ6XrERlX6O9ti3cvT6tDr9QCcTU3llRefR6fT0X/gwGr77krL4X+79pB/9izxLVozcMwYGjdtSmBgYOnx3Tt30iAqisP5ejb88leFfuj1el558y1Oa73Raj04c/IEx/bvpfvAwbbLZVY6RZnBeOh0LPnsU75ZuoxbH5pc6bWal6c2HzlGl6bxJB/Yy9E/VvL2wX0c3q0Esfx15c/06T9AUbAMVU8gz6Wl4RnqVWtZ2VUuH6pVcIQQOmAdsB5oIaV0KMVpTa3LbkhKYe9mJYncC88+zeCruqGLKJv/pSb64uPjw9dLPiUnt/YywgohmDZjZulg07O3/VnFI6OUAS84JMShtAt79uxl1e9/k3RMmT0apJEib1/CIyLgaErpoFkZsqSEkvxcuvTtz9/fL+e6ESN44ulnrKYcsPaiO3vmDJ9//BEPPPQwukoiY1fF6TwDv678mdG33Orwc+NKS6Gr5LGmObRrJyuX7KRNk0a0behltYy7lyDD4pozfNgQ2nTuzjXXXouXt7fNdV1l8R127WBAsXK0t3K9bdu1A+BwJcqcp6cnTRISaILyvEfGNCIyxs58cfu3c3D7OvS5OWzTK/50L0ycQP8Ro+gw+9kyslV+mW7zkWP0C/YkNDiY0Y89xrc/reLA9i28u2CBTRHDDQYDb72zkIOJSbz61tuEhNrvOnbs6FGST56kV58+dtdVubywxYJzO3BaSjnW3Z0xozPk8dY7C7nlphvxi7Q+qFSVc6RR0wS2/vMnXTp3pF69cHd2tVoC/P2pTZc78z1y95JcZQwdMpi+143ijV/+ZtXXXxDWsh3Db74BPz/b8pR5B4cQ03cwowf3Y+bUx+0O8a710HJV334OKTegLBV2697DobpuosblEaCgoIAFb77Bo/+zPUK5GX1xEcf270NKyRtvv8sHL052ef9sseJ4e3vzxHNzXX7umsRWObbmrN0pIZ6th4/R5Y7xgJJZPGj3etb/u55uAwbSfeBgm3KVNe/Rm45N4ugeG4VsGI+UklgbfXDy8vI4eOgw3roANq7/t9pJk3n8srzmAFFMiI9QnZlVqsUWBecKoI8Qonzq2SZSyqTKKv3+x58MvLp/pY1aU1As/x8/7m58fHyqVA4qU3IG33oHV/foSnxEsMN5V7KzszlzOgWtRkt4vXoEBbs3h05NUFtKDoCHlxdR3Z2bcTmSvyY8vB7h4fWsDpS2oNVqHU7KZz7Xe++8zX0TJznUhhUcksfklNOkZBXSqk0bh07q6+vLg484pphotR4MHzOWej6e9OvRCag80aLOkFeponIuJZlfv/6CNl2706JjJ3x8HU/me7FR3e4y8xJeVUt55REaLfPmv8GGpBS7rFkV2rFjjA0MDOTrJZ86NQ7FNoohtpFtPoSWmM957OhRDh88wKBrncutplL3scXJeBJg9+hc3UNfnfZta9bj8oJSOjhaCQdvDyuWfst777yNp6cn3/7wk8PtVIY1ZUOdkVyaDLluuMvaclQeAaedsh3NRK7Rahl86x2lKRpSD653qJ1dG9ez5qfvWfPT9wSHhfP46+8QEXXBcnAx7bRzZT/NbTnSppe3t1PKja2IrHNof3gdzb4NkHEW3143UnD7M+BE4s/y2Ko0NYiKIiAgwGXnVam7uG1Lw9UD+jltLXCFtcGeNixnPteNuIGG0TG8/Pqb1IuIcLofVXGxDMp1DVsVwtpWHGMaNXJrZGNbaBjVgOYtW9ba+avCvH3ZrPxUdp8axjcBoEnrtkx/+70yyo2Z8taLuuSAbpecS0lU7hki8s+5r0Muorrr8vrjU4LHN8dj6ato9q1HczoRkXPebuXGVdZnHx8fwuvVq76gykWPTbuoLkdCQkP58rvlpbPeujY7rLXlJkMJIjcDGWQaIKTE+4e30HcdirFBk2qrl4/FUZWDcV2itpWkS53yz4W157tFh45Me+Nd4lq0wsPj0hu6NKcO4f37R2hP7qf/0V0MzTjNmq538g9dleOnE9FuWIZ/bCuKCovo+fU8fDNOI9r2Rt9jBMW9R9t1vsri4rgS71WL8HvvYYSUFHcZghh0F4VGDfr2A9x+bhWVS2+UQIkCHKxxPNquGXtM+pfDC1CknSLghdEYw2PIffIbALSJ29F9NA358f8o7jmKgjHPYawfV3udNBjAoAcvx5ZTVGo2GGCP2KgKO3XKbyG3LFtX2LRhPcXFxXh7eRNerx6NmzZ1uC3fL2bjuWM12kP/ISzSWOT5BpHjf2GThOeWX/D4dBYAZfah/bsMTV5mqYLTo34QG05ngJWYOGZHY1dR3W/is/QlhJTkj3mBwpGP4pl1luObdxGalYuvjw4MJWA0gqf1nXUqKs5wSSo4a/76k7STxxh7t2MB8uoqy77+mmNHExl2/Qg6NrNza6gJnSGPol3rMTTpgAwMR2SexWvdMkRxIcbAMPRdhyEDKzrz+u/6HY/596E5n4IhNwP0ReDpjfTypajvbXit+xbvf5ficWADOS/+gbG+9dmhxqAn5OhWiK5f4ZjH/g2I/GxKWnS3+Xo8N3xPREYOqa0Vh3afpS/h98Vs9O0HkH/PXLz++gKPnFQMPUcg2/WFWo4NqCZztQ2zkuOO++WsNTb51CkmjLkLo9GIh4cHiz5bTGNA5GYifXTgUU18l3K5uDTpyXgc3IT09Kaw3+3oOw1mmwxgTb4niAtKiiGuDYYBdyBSkzAWF1PUezQlbfvgsWctxnoXnG517zxA9+Tj7Bs1C6gZR2yRnYbu7QfQnjyAccwzGLsoW+FL2vahMP4KTkZ24+hjj3Lki8UUZ2Xj4edH/zuvoXXuNgpHPkbRtRNqpJ8qlxcXpYJT3aC3f98+3nv7LcLDwxhwvX1m27pETk42O7dt5/TpFI4fPcriTz7GaDTy6YcfMGTwIJ6b/1b1wbIMJXDqMMSa/C+y0wl8RtmaafQPQRTmIkr0pcUzF+wpVXB8v5iN5nQihsxzeO36EwB9617kTv8aPBXHRGOjluRN+Qhum47m9fvx3LeegJnXkPvkUgzxV5TpipBGbv5xJk2TNlP830i0HZRBzaekgPafTSFwixKmXmo9iBk9m231Kyo65qULbeJ2PD+aiveedXT28eev6asoCG0IXr5IjQbPHasJeqRLaT3t6iWU3Pgo3PmCrbe/WszP4eVgvXOWHf+upV5RBxqUJHHq4Haim3dw27ls8buxScmRkrBD6/FdtweuuQvCG7Pun39Y99qTjA7MZW2eF2OmP02XJtH4fPIkPr8sIu/+Nyjue5tSPz8bUVyADK4PUuKx71+u+H4hYYfWY3jgDfTdFDksuOFRinrfhKFpJ6S/slszNykFylm2Str2oaRVZ4qKiijxuxA/xhDXtvSzyDqH586/CctKpfe8YUQ0vpLjsSNI96083oxv2gmlH+GOTZpE5lkCZg3FI2kPAMaiCxGYcx56n3X3T+DIkv+VfhfYtCnZR45w0bKa/gAAIABJREFUfPlyrmgHPivmUzRoHFyGkclV3MtFqeBUx/69iqBNmz6Tv/pdg05nX84kV5vCS0pKHPIZSElO5svFn9GgQRSRDRoQ37gJx48d5b7xY3nowfsoqUa50R7fjeeb95J9JoW+xyJp07o1V8WFc2eLnvgc24EmNwOp0VDc7ToMkY3RZKWWWV7y3PY7Hoc3A1As4aeAdmRdMZbhAaFYugfqDHkQ3hDjk0somXMLHgc3Efh4L7JfXgOxCaXlRhz9haZJSnte678jukEv/iMIo9ASmLwf6e2HIa4tHgc30eabp9hxw8tspWIOLq81X6N76z5EcSFSF0T+zTMoCFF+s8IbplDU91b8Xx2D5+5/KO50DZr41lBchGGk6+OvVIZqqSnL4V07+Oat11gw52FscS09dXA7Ec17Vrm9354t0dY4c/o0/lbiI3kUZFN/z5+0Xf0xjVJ2A1DcujuENyb51EnGt2tIAlsBMK56HPFDYekkwWP/hlIFx/f7N/D5+gUMjVqhzU5DZJzFHLM45e1HWX3GQPtOnWkY3Rxj9IWcUyX5+eRt+BeRkY2MjgGd0kedIY/z5zMYeO1wPL29adaiBUOHX8+w60eU1pVB9ch6ZwcZH8wg9t8vaX70X+af3MHi5iNJuLItG1PLxoXUHt1JnxevASnJnfsnBi6MfcKgp8nxTQRln0XmwGapK3UM9szLxPvXlXitX4HH7r8RhhIMDZthmLwAGdkYgPzTp9ny9FMcWbIED52O5uPupe1NI/Dr2IMTK1eyevRIMvIh5MwxPDeuQH/lKId/y8rkrTZDY6jUPnVKwaksro29M+Qu7drw75o1XD2gnxIG3cUz7KqCDFpy9Nhx1q3fwJvvvMeYcfdy973j0Wg0Ngtd8xYteWfRh6X/33HPWE6dOEG7JsrukfKBUCzx2LsO/2eHoynKJ1fvgfG8hr/+TqfH9McpmPkKBVIislJB42F1SQqg4JYZLH7rVXbv3s32Ai/09Tx5rVVrDEVFHF/+HfoTRzEaDATFxVKvfTtCmiWQPWcVfh/9D8/d/2CIbUNGxlmWbfybq7d8RddDywHYf/0TNP/nI/J8g6FAUqz1Ytvdb9IupiHGhgn4fjoD3+9e5eYfZ5La4lbWRSv+GF6rP8NzxXy8T+wHwHD1nZSMmU1RYAOweNHJkEhyZq9Ck55MgYc/xpNHCGmWgFYNDV9rpCQd43x6OlOefYtXJ4+ovgKV++JYYk3JqUrxeWfxl0gpKSkuZvp77wAw+I4x6FpcQWh+Gm2/ep+Gm5ej1Suxeor9gtEMuhPClBf/zbffgeemYAzeesTeDWjyMpFCUNxzJAUjH8WQ0Ln0XJqzx0HriUfSXgCMQRH84pfA6+sOsb+whPhzC/hwyZIy/cs6coQ/Ro8i6+BBfADp7YPhmiHoH5sK0UGcOHmSjMxMAKIbNKCZ0LBl1kwyDx6iKD2NgPh4Gg29jrgpC8geM4v0Z26madJ/PLjnc4rmrmTjPV/TJiqCnUmn8C7Kxf+le0uvNeCFm8h6ayvSPwT/M0do/9mjBJ1SJotDgcjgbswOH4BBr6fVstnotqwAQGq0FHccRN5D7+EXFIg0Gvlz0mT2fbYYpETr68ug5SuI7NVbGfuARkOGcMW06WxZMpeBLcFn2SuUtO6NDI4gLzkZvwYNENXkCVNRqQ63KTiOas22Kg9VMfGBCdx682hCQoIRDraVn5/P8m+/4fYxdzvcjz179/HyK6+Tl5/P/HkvsW3zZp5/+RV0AVW8aA0Gq86BoGxvbNqsGeSeRbNmKYF/fklx9+EU3jgNAJGXpZiod6zG79MnEUX57I9sz9r2N+H71XJemzyJ668bSp6UCCEU0zlQUlBAcVYWGg8PfMIvODXqOw/m6tc6k/PttxTs2MrkcfeR8fvvLBs1krzk5Ar9C27ahE6PPkKj+99Ek5uBUWiY+fRsdv25ivsTUtEKWN3lLgoHjKf+7VPJ+Oc/OJ9Mp4R4chvEYWyovEQK7phNZuJeGuz8hW0b/mNP7laWndhPf4+daE7sx+gfguHW6RgHjwMhOLthPUcnTcIjLBzZsgVewcGEd+yENBpYe98ESnJz8fD15crnnqHJmHvwOLqDkjZXAaA5eQBjTAtHfl67cMVzfTGjCwjkzYXvcXzrarQOvLhcNRM/vGsHWefPk3YmhfPn0wH4duHbdB8+kgXJXxCSfQaA9Kbd2BTdHe21Y+mbEF2mDX23YZR07keexg+RmwHSiAysGDE9b/KH5E14He3J/fgEBpAXkcD+H1dx6J+pxDeN5cvPFqH19OL499+T/PtvpG3bRuaB/RgKC/FsGE2RlzeaY4l4/PAdib+tZM09dxEQH8/YTh3IOZdOwrbtrFu5ssw5z65fz5ElS+j17gKa3X0PX17/AoF/f0Gv0/8RntCWwrw8ls99ljCZz30xp9EWZZHVsBUlPjpCzp9E6oLZkJRCcEEOgcn7yAyoz4mGV9Dy4J9MyNxERM5pnpj6FcuDQnij78107tPP5Ldnun5DHpvnvcq+Tz9H4+VF9KBruOLxx4no2q3C/ekwYyYrln5FfvFx/BK3EzKmEace+ITv759G3PUj6PH6Gw79xpe7rKlcoE5ZcCxxdjALDQ1xqv6STz5m8aefMGLUjTaF+bcmVMOHDcHDw4M5z79Ez6v60KtPHzRaZXAvP2CLnPN4fD4DzerFiBI9+sc+w/PKoeRpdXjs/gftyQN4GQvRnDiAZu0yRH62UrHtlWhN59Ws/RLPBReWYYr63kr8g6/jvWkz7W/WcvaHH/ngoSmUFBcTEBtLZK/eGAoLSfzqSwxFyixOFx2NV3AwOcePYywuxtPfn+gOHQg7eYLfP1tc2nZImzbEX90PodGQmXiU5LX/knkkkdUPPkzMD6vo/NzzBLcMITQ0lO5+xewu8mZhw2uIihtI3CcfUvTQRAweleyc0GrZNvYdTm34g8Tf/qV401riWrSipFVv9EPHkdNhCDqNsiRQkH6ev+64g6LTKRQBB9atqdCcJiiIkqwsNj85nfZr5+FhKCJn1gq8V76H1/plZM9bU2bmbUl2dja/rvyZu0dXHqzvchtQHVE2xj35NK2DdXSqbyD50I4yxzo2iSvdSVWVf87mjRtpEh9PYqHB4WXkmyc+AoAsKuDcuzPxDQyGUZM4nJ7FTyeiGHRoJftHPEFefSXkQVVWUoRABlzwbSkpLCR14wa8AoMIatYMT39/8AvA0LyrYkXWehDvH8DcTp3I2LqVXwYNJevoMYwlZc8Sd8NIei98j/c370YcPUK9H5aS88dv7FzwPgBBpr8CILhFC2KGDCWsfXt8wsJI+ftvdr08j38nTSQvJYW2V1/LJ9FX8lf0lYy/pi9NU5IpzM2hj89ZgoqySQuLY9e4dynx8efK5P9Kl6Ay4zuwddy7rPaMptjLj2UBbZm65W1GGE5wMjaBnwPjaT7zfYrLBQk8suIHNj0/F4Tg6m+WEj1oUIXb9t03X3PdDSMJ1hTT/L6J/PfOVPo2A6OnN0kzH6QwNZ/sxCPKmGRlLng86QQFBQW0bNG84kEVFQvqpIKTp9XxwcIFjBh1o90BmXSGPJJTTnPy5Cm6d+tSfYVK6Nm7Nz169XI6yueQwYO49pqB5HtYKElmheTscbzWL8dz2294HNiIKL7gnOcV0wTzXguvf5fhs+r9Mu0am3fBMHgcxk4W2ZA1Ggzh0RhiW1N81c2c8oljy6ChnNm8pUK/MvbuJWOvYjpHCHwiIpS1/1OnyDt1qrRc0fnzpKxerfQjOJiYwYOJH3kjMUOG4C8v9NdYUsLBb5ayZtoTnPxlFSd/WUVEt+60j6rPX+2G8M31NxGddg7vaQ+TmpnBD998gea+R/AsMkLaOQpLCkjatZXAJk0IadUKhCC1fgLBCRmENG9Lp6v6oo+NwsuQhw5FuZFGI6snPkz+6RR8O3QibNwEoovyKTyXyomVK8nYt5fW/5tOw1HXcf6rb9g871VOJOfQJLiYwCevVtrw9sNwcAdUouDUwVxUbqUyxaWwsJD333mbJyY/4FC7QgiCgoPJS7HugWMtFcGpg9sBSpepAoOC8PLygsKCCmUro7wi1CM2ih1bN9Lpo4kEndqLvnl3fgsOgfQsjjfqyJZ+I8uUz13zN+v2bkNoNfg3iMS3VTuadO8A5caFM+vW8u+kiWQdOgSAh05H64mTiOpvSleTlsLer77jxE8/ltbJA4RGQ0SPHkQPHESDPn0Ibt4Cb4sElLJxU6LfWkiTsyc5u/IH8s+lUZCWRklhIfG33Unj0TeVWcqJ6tcfodGw86W5bH9uDmLeS4TeeR/xN9wAQhAUFk5k02YEBEYzv0VHbnt4BqfmzkP4+FD4xP/K+EedvWIQxSbFc2e91gxvdDcTMjayr8vd3H/tELzL3YOTv/7K6rHKxoGez86yqtwANG/ViiBRBAgS7ryLr559mqT0fDKL9Oj1RTQcOIgBX32Nh4+PVfcCKSV5eflW21ZRscRtCs7mTZvo0q2iWdJWbr3jTocTJB4+fISJjzzGxx8soGvnTg610bVVE5c5pwkhKs5605IJmtStjFJjbNubknFzkTFlZyYlrXtTaDTgKQ3IsAYYOw5ENmlX4TzGAbeTM2gC+txcdsx9kd3zx4GU+EVEEDd4EGGtWhI7cAAyMpasQwc59euvGIqLaTbmboISEpBGI5kHDmAoKCCgcWM8/PwoOJdK2patBAX5ENRrABoLP5Y8LlguNB4etLztFmL6XsWGV9/m0Ccfk7ppIwDNNRoMu3ahSTyMKCpC+PqSc+wY3tMnY35Cjpn+ABoNuw5uGA3hDfANs67gSin5e8pUjv28Cs/AQKJeno9Xw2hamV5oHWc9jVGvR+Ppic6Qh/HJ/3F603+s3rSWmD7eeHoICrqNYM2OLI5NeZERV47CO6Si1a80F5UTFpqvFn/OLXfUbsiCc2lppOafJS6+sUP1fXx8uGeC41t5Tx1NpNDP4FBdsy+OORJzj3K/kz3Oxp6bfqL3/LF4FmRjiGiEvuvQMtu2jcVFGM6fx3D+PFnff8f5zz7mZLk2vAIDaNC9G94NovGNjOT8rl2cXKUsFfnHxeGp05Gxdy87573Eznkvlamr9fYmYczdNL9nLDqNHv+oKErCqrdGRXTtRnynsnnEKhufOs56msgrr2TfwoWcXPkzLT55F329EGTjMXj7+HDtpMcoBvSJh/mpT+/Sic6BsBBa3ncfbWQRfy/6EGNBIVpPbwxdFQX/oHcEj0UO5/427fH0umB9lVJy4P332fS/qRj1etpPepCOkx+iMhWkdZu2pa4DXkFBJNw5hv0LFyC0gubj7qXby68oyk0lxMfFEh8XW+19qIxTJ09y7Ggivfv0taueysWHWxQcA1pSkk8Bjis4jio3oDj3FhQUMHb8Ayz9ajEtmjertKx5hmdtgHSrB354Q3If/xzvv5ZQfOVI9G37YMzOJPGnlXgH7QLg/P4DaOo1IKxdO8JufY7QQGVQMRQVcfjLr9ny6usU5+QQktCU4KZN8PDx5dzBw5xZuxZDURFCo6HD5IfoMvVRvCxyr+RpdUR0605Et7LbsIVGo1hPLPCPjsE/OsZ0L6p30vWPiqLn62/Q8alZpO/cQcoP37H7g4/R7lOcFUt692PMV1+wbfaz7F25CsP5dDy8vfEODiY8Lpaz69crs9yffsQnNIy4dp2pd81g9CnJHFn/N5qc8/iGh7H308Wc+H01Wh8fBnz5FUkNoyvM1i2VMY1WS59X5/FFt168/7eejs/MZufbC8hLTsZDpyN95w6i+vaz/fezg7bt27ulXXvIy8snIyPPYQUHICDAcYf9Y/v3Mmr2DF5+YrzDoYickUeRm4nvV8/h8+PbABR3HUbeI4vw8/WCU1mgL6b+Rws5+OOKsvU8POgw8QG8ggLJPZVM8uatZOzeTdJvf5Qp5+HnR5vJU2g3dRpab29SN21kz5tvUnguFSklvgH+BLXrQMv77scvMrL0eqCaZTBHrlUIGl49kKgBV7Pi/gfI+PwTvOfOJun3lXjFxuNZpARB1f7yExkGA35RDclPSWbj44+y/70FZB44UNqWFyA9PGnWrhMn4lvS6MpeAHSpH8qxRe+yZ/FX5Bw7SmFaGgDtHryPXi/MtisBZ+c5zxHSqhVRAwYQ6MTzWRnln5vg4GBiY+Ncfh6VuofbLDjXj3R8y5+zZGVl0bRJY5olNCUsrPL4D85iyy4PpIS0ZDRHd+J7/ADSNwCGKzNhfbdhFHYYxLn/NnHs2Rc49MnHpb4w1vAKCkRoNBRlZJb5Pi/lNKf+WXvhCyGI6N6dq557hgZOLNOVx54XjE9YGA37D6BZn+40e/ARvlj2PcaEFhAahndICD3mvw6Tp7Hol7/olBBPqyZx9IiNIv/MGQ58sIi9ixejP5FE9F+/wl+/cgQ4Uu4cHn5+DFnyKeH9+pNkwww+tHkzmt8zlgMfLGL9EzMBqNelK30++pjAJtWnmbCV8veodZu2lZSsOeJiG1Gvce1tl83LyaFlyxb8sW4L13S4kEPKVb5LVVpxpCRg1hA8ErchNVoK7pxD4Q1T0KansG3RIs4ePIbX9u1k794BWi0eoWFoQ0PxqB9J32eepnGXC/Gc8rQ69Id2c37/ATLOZZJ/5gxaLy+a3X0PvhY56yK6daf/kgsTiJrcrmw+lxCC+k88xVkfPzy//JyCrVso2LqlzKDf6oEH6TR7DjtefIHdr71K5oEDaH180A28Bq9GsZz97z80WzYRsXUjt23dSOaODWgHDGTZfXeW2WjgHRpKv/kvkzByRIV+VIenTkeLe8e78haUwewjZ+6Lf0AA/mqyzcuCGvHBqWkHzMkPT2Tg1f1plpCAl1flVoeqBNBgMJRJ1WC3U6PBgGbjj2i/nocmaR+g+MtJDy+KewwhacdBNj7/Imm79mDUXwi0Fz9kMB6+vhj1ekJbtiAnPYv0nTs5v3sXxVmKY7HQaglJaErHKQ8T1b0bGUcSyTx8hJLCQnybtSaie3f8IiPrjONrULNmtL/t9goh+a3hFxlJx5lPUXjHWHb+vJL0H1YQmZyET/o5Irt2Rle/PjknTxLVswdt770Hv4gI7LnK9k/OIOnHH5FGAx1nzqLZPfeguQTzGrkbe1/YUx+8n8xTifgXn+bs0d1ljpXKlul5NfveWGLTZIJK5FQICkc8gveq98kf9zJ5IbHsefop9i9cgD5XOacW0IaGMeznlYS1a1eqLNWPjSrt12uvv0VcyysYMbA3wU0au0xhcVT5sVavvMwLITBcfyOGAYO5Ji8NY1ERh0+mcOroMZoOG0b3UYpC0nn2HKL69cM7JJTgli3ZnJoBQD1g+78bSFvyOZEb1xB85AAcOUAeENamNW0em0qD3lcRFqZT5UilznFJPpFCCNq0blV9wSpYu249Bw8d5o77HyrzvS2Dkcfedfi/dCuaLCUTsPQPRjZuR0HsFZzN1bLzof+R+PMv5s4S3KIF0YOvpc3o66l3xYXZ/vw33ub6+ybRMzISY0kJXlmpGEtK8A4JRmOhfAU1jodBV5ftRB1RbhxFCIGxZWuOevgRkhDPvf17ukRh84uM5MY9e9F6eZVZwqoJLueAY/4BAdRvlkDqwQvZscsrLakH11dav6TEwKpff6f3lT0RQRFWy1Q1CSnufRM5bQex95232fvWm+hzcgCI6deH+gMGcfxsGkHXXU9Yu4q+bWaERsPfq/9gSJ9u+FThI1IeW55ba+OKNcdrh/H3p+lwxek3PSkFs1271Nqj0dBwgOUYklH6SUY2IOyxaWzeOYSYP34m6thhrpo2lfa330i+p2IJ0Vzk443KpYnNCo4QYi0wVUq5sbqyWhxzJnQ1g69Tlsl++XFZ6XeVDTblTdyxsY2oV69ibIvKMLebenA9/tHtETnpFIRGw7D7SBINOfTDSo6+9zEluUokUQ9fX7rNmE7jCROV7aRW+jblkUmlg57GwwPv4IpRfd3Jl59/hq+fHyNG3ei2czib0dgRpcFTd2koGvbIZF3hrsdf5YXx/W0qa7ld3MNDi1arwdvbi2IuvJhtiTye/MfvHPzoI06sWonRtATc8Oqr6fnE40R27UKeVkeeDUucE8bdQ15enl3KjSVSSs6cTqFBVMPqC1shLy+fGdMf45k5cwk2jQW2Wn/MypLRaHTo3AAGPx3Hh9/EwMH9aBYb5XCMMRWVmqLaiFtCiGuEEAuBXvY0rDPklf5VRV2d1cbHxdK6VUurx6q7JhlUj+Tn1zB1fwjvTJzHT3eM5dA3SynJzSW8U2eufO5Z7ty+iY6PTCpVbirDGavFOwsXsW//geoLVkL/gYO4op1jDrJGo5HVv//GI49NIz09zeE+lI8RouK4TNY25gnHk4v+dKj+oKsH4GnaFWemMuXG8vvk1as5vmI5xuJivFq1ZMjvfzBy+ddEdrXPP02n8yMiwr6wFZbs2LaVObOeosTBZ3rHrl1IKTlx8lT1hU30iI0qVW5279zJDdcO5vuPF9ml6FhakqSUZJ8/X+Z4TS2FO3Keuvp+UakZbAkp2gvF0pNbXcHKqOwhc+fDZx5MLT/XhCDmnznHxsce5bsBQ4nbtRuycwhr1ZKez87irl1bGb52HR0fmYR/Q8dmcfYwfuzdtGrpeJTe+pGRNG7a1O56RqOR2TNnMPmB+/Hx9kEaZfWVrFCUn0fij1+jLyx0qD5AZkYGegsfp6qw9nzo9Xr27tld4fuqllNqAKdlsra56/FXSz+7Wy4T7ryLLi+8yE0HD3HfpnVKHBsTlf2Ors5HB9ChU2feWfShQ3npAK7s0Z0ZD93FFW1bV1vW8p4aDCV8//Ei7rzpRo4mHuHum0ZjKCmp8hqtHZNSot+5kRUfL7J6Hls5e2QvUjo2JoCySzYzM8vh+iqXD9UqOFLKp6SU9wLpzpzIXmXm3zVryM+zbe26trDm9FhSWMS+Be9SnJVFZNcuDP3yc27duJZOjz5CUHycw+dy5DqrcrB2JxqNhqeff4G33ltEUVERQmP7llEzPWKj8PbT0XTEbXg6uCQAsHzpt6z69XeH6xcXFXEyKcnm57cmZoyukkl70BcX88+fq6stV9lzOmrIYIfqOVPH/JIOadWKtpOn4B8dY1f7tig59vbbnu3T9vSjKrRaD7r0G8C9DzxIbFwc7775RpkNFLYihKD7jbcy+v5J1ZatTHHM0+r4+5+16PX2WbEs7/OZM2fJzsm2q375NlQuD1zmZCyEmABMAIiJia42g3b5F0H5/728vGxKtmbrC2XwdaPK+OJUhTOCEBgXTdeX5tHgqj40amO/9cOMwWBgz959NG+WABehz4gQgr4DBjC0b3flN8pVfBzsdZzs3My5uBg33DiaqKpyf1VDhK9g8NBhTj0TKcnJRNWAxc4SS3mMjolBSllhZ6Bd7Wk0ZYK7ge3+H/a8oKObd7C6i6o2kVKya/deTp85Q2ZmJjePHuWQolLTma0tzxcV15hRfXoxbdJ4svFhc3Kq3e2Z/eV8nRyPxt7tXNDLnj2qj69WVfqU4qIisnOyCQ93fLlR5eLAZelapZTvSyk7Syk71wsP4+nZz1cok6fVlf6V/748Xbp3x9fX16G+WC5P1QZtHnq4yt0Y1XEuLY1rho7goclT2X/goAt7dnHhil0kwSEhZV5G7rAUVMf339mmWLsSS3kMC6/H1m07+PmH78uUsZRHa3JpiYeHBz179XZpHy2XqSypLBdVbSGE4N8NG3nwoSms+3cDSSeU2Ma27o6yFXdaGMxKphACDw8PtyzBXSwkJyezZdOm2u6GWzH56R0WQuQJIb4RQlgN/FNZOaHwmhAiSwiRIoS436LO/9k77/Aoqq6B/042vRAgoZeE9tJ7E1FUECzYsRdULJ+9ovKKoljA3nsXERsiCip28UWQ3puUhBYIJaQXkuz9/pjdsNlsmZndTWN+z5MHMnPb3My5c+65557bTkQWiEiRiCwWkSrOqiIyUkT0n6kSIkJ2Hv2Tjz0SlHJq2qxotn6lFLm5+s2orvU0SU5m2ofvMmhgf5o1a2aqfoDcvDzTuyYO7N/P9I8+5IN33g5ovTzUOPutNg/YN99+R003gQH9+3LO+UfPWdKzAaC6cV3yNaLk6HkOpRSfT/+E3//8q+J9dl9G8fUO3fJ/13PTjdfRpk1r2rT2bo3z15acHPO+Izk5OTz+8kek79hpqG5fz+VpKcmTTAV1y7qDmnAAjisvoF379pw++qxqr7u6EJFGwGfAfUBrQIDHDaYbB5wKdANOA54QEadQTgPmA82AmY4yXMuNB95ylFejhEzBCQWBCoQny477jgynUJv5qLsOFjM+mcYDEx8hL9+cH2jLFs157uknadmiuan8uXl5XHDR5SxZurzSdb19GB4ezrIli7GFeV/S8DWYl5eX88u8H7n/vw9jz8kEfA+StVlB0Yu1Y8M4p589psJ6ZMTy6v5h9vYuxpUXUFxczEP338eTjz5CfHycYf8PJ/ffexcPjL/b1DJfeXk5EydN5s7rr6XAxJhwpKSEu+/7L38uWskOLwqOPzasW8cTU58hz4T/ipN+HVI5rm0L0/mrk2NYHs8BViilZiulDgNPAZcaTHcl8IxSao9Sai2aEnOJiLQF+gKPKaVygeeBVBFx3c3yNFDZXFxDhETBKTd92kzoZ5annz2m0o+zTneefOpZ3nrnfVNCUnrkCGFHCujetQsxATjIBsK6dRsYNXIERQZOXnalUePGvPj6m1w+dqxhf4O1C//k3NNGcs9tt5Kbl0dGxl6fCow3xSdz105+evNljhQFdnKwp2ivnt4zX1GtLczjz8F4zJmn+02Tse8gb77zHnsy9hquP2P3bpKSk+nesyevvv4WYQac3oM1FtlsNh647x7OP+9sEm36dvW5EhkVxQfvvMFvP/3AgP79DOXNzc1lyuRHueyC8/jgo0+rjHbSAAAgAElEQVTYuV7zcdLzbO5yO3/ObF576cUatera7XbD9ddVZUdEbhSRZS4/ek687QW4OrKtA5o5LCt607nfWw90BHoDG5VSJQBKKTuwyXEPETkJTQF6Te8zhhLdTsZKqdQQtqMKWYcO0TgpqTqrrMQpJw8jMqKqU6UeGtpKuf7aqw3V58spzgzHDxns0RnPV3h39+siQkRkpOF2DRrYn5tuv4PXXnyBf7ds5ciRIwZbr9GsTVv6nH4WtnDzTsJ///UXeXm5jDnd90Ga3hxADx/O5t0PPuL+e+8y3YZQUd0yeejQQeIa6veLM2OVGzv+eaY9d2+V602TG1GyZjeNTAS7bN+xI/c8MAGA2LJ8jwq7s63BdAR2l5sGCQlcfunFAEQZVC6cZRmNwxNXXsCuw4cJDw+nQYMEsrNzyNi7D/8bzavSJ7UN6/bvoW18NPF235MOX8dqTJz0GI889F/w8yq59p/r32TmV5/TtXs3BnXrENDfqrqcvkuLC005zpcWF6KUegd4x2DWBsAO5y9KqRIRKXNcz9eZrgHgup6a5+V6xT0RiQXeAC4GzEeUDCK1dolq7rezKczUvz3XSbAcjIcOOY6BA4zNlIJBXZ1puBIWFsZZ557Hdz/9wsvPP03PHmaGU41m7TowsEsn0/mHDhsW0Hp7o0YNTSk3Xg9+rCU43zO9ymtY/kG++uwzn2lCaXkND7dx1+23EBsb67N+1zZ4ao+rcqPnbKu6gq++b5OSwv0TH2LRX7/x0Xtvce7Zow2V7VS0wmw2eg0ZyhlnnR1QW598bFJAISwuvPRSuvfs5T+hDmqbH5oRRORBESlz/0EzXMS4pIt0XDvsVkS2j3SV7gGxXq673nsc+EoptT4YzxcMQqbgPDzF8w4Jvdx89aU0SdZ/VIJZanrHlSf8HaBXG9DTpsioqICUm1ATiDLp6+Portw8POF+0/UEi1Wr1/DDnO9M54+JieGm2273er+631Ff/V8bHahDid5njYqKYtiJQxERv3lC2X+BWl0CZfOmjUz/6MOAy6lplFJTlFLh7j/AAqCHS9KuwBallLu/wiYf6dzvdQNWA5uBriISBuD4tzOwBjgJmCAixY50USJSLCLB0UZNEDIF5/a77wm4DE+CEAoLR32wmhihLg3+odi9EWzc+9N9aebxp56pzuZ4pEf3bgwfOaqmm6GLseOfD6p1xdf73rRzcA5x1VtfKPC3xd+iMp27dOXKa66t6WaEktnAiSJyomOn1BRghsF0nwLjRaSxiAwGrkCzzmwF/gXuEZEY4GFgncMZeYBSKlopFY2m9JQ4fl8T0qf1QcgUnDg/ZywZpboFeM+eDFOOdMEcmPdk7DV9bo0RjPRtoHE93D/+tUmB8dRefzFizGzNrQnCw8MrHRLpqd2+diLVBDW9hOT+3Ha7nX2ZmTXUGv/4kmO9f0N/7/OQlJbV8j7oqcPfuOW6mcCbn2F9VAyVUoeAq9G2c+8C9gNTAURkrIhs9ZcOeBdYheajMxO4Sym1xXFvLHARkAWMcJRRKwm5D47eF0jvjpZQ4GkHx5czZ/HE1JqZeW/fto2zz7+YCy6+nKXLVoSkjlCb8fUoN9WJp/cp0OevS5awmsLf7ih/OJWcg1k5jLvxFvbsMebbFKwzw2Z8/iWDTziFBx+eTEFBYLv6qhuz76k/y2Qw0Hsocyioj8qNE6XUHKVUO6VUvFLqWpddT9OUUh11pCtXSt2qlEpQSrVRSs1wyfOvUmqwUipGKTVMKbXDQ/3pDktOjVLrnIxry0t35RWXctMN11X8bnSgLi8vZ5fLqb9GnDrbd+jA+LvvoHmzZrQwGQcHoKysLKDtnDvS01iyaFGV6/Xpwx6MwbUuLxHUlXYnN07k3rtuJ7mJ5pdn9ADdgvx8Xn/pRZYsW+4/sQcuGnM+Y847l5YtWhAdHWWqjEBRSvHjT7+wf/+BGqk/2Bi1GNancceieqh1Cg6Y3zId6GzRlSbJyTRpkqwrRoc7xcXF3HbXeJ58+jmKXU7CNmJCPmnYCcye+RmpKW2NNdzBsuUrOev8i1ixcrWp/Af27+f+u+5k2RJzIc2VUixZuoyvvv7Gaxp/M8KasPj424VTVwmGIlOd/eHJ+b97t65ERUZW3NOzQaC83M4XX33N6FOH89Zrr5KevtNUXKOIiAgm3H8Pjz/6kK5Af56Wt1546VWuue4m8vPN9eO773/ExEmTOZSV5TWNr7/zoawsZnz+ZbUse4eS+iSXFqGlVio4NYG7EuMaCND1mh7+/GsBubl5bN26jYy9+0y1p8AWZ+pAPydRUZEM6NeP7OzsKuV68itxHxibNG3KZ7Nmc+NVFxuue+4P8zj9rPO59MprmfH5V+zYucv0oLR+6WK6JXrfGqyXY31Q9Ke41cb+cZW33ZtXepRJJ96WohSKhPh42rRNAWDd+vWmjy8Bc6eBgxY64YrLLmHggH5Euh1aqpcbr7+WOd98RbvUFEP5CgoKeeW1Nznl1DN56JHHmf/Xgkr3jfztD+zfzz+Llxqq3x1fFhpnbBq9Z6RZWPgiaKeJu+N8ifUGU3JPUxORMoNlATp91KmcPupUlFJVBsRgB/TzRs8e3QPeoh0WFkZCovHAaicOHcLSZcvZtj2NmOho4uLMKygDO6QSEVE5ZoaRPly6eDFFhQUMO2U4oP+AROf7WHoog9fe/4S773+g2v52ocJbkEe9HxBP73N14O1QTtCUoHlzvB9mGm6zceYZp3HSWRewdvVq2ibFV3mfqotmzZpy682+A9H6+3u0amn8mIQDBw+ya88eiktKAChx/KsH9/ZkZx+mtMx4JGZXnn/xFW6/9WbTsXA+++Ir2vfoS49e5g80tjg2CIkFx4ZnE7CRj8MLL73KwQO1b63ZSNycQD4GSimWLV/JkSOBDSaBYMTx2/VeYmIikydN5LtZX3Dj9deSHEBE6t59+xIbZz5cQK8+fRgw+LgqefXswACISGrJnePv09na2o9Z601RURGPPflUtc+mgxmnqmfv3qbPdgNNMdi2bXuV67Vd6U1NacuzU59g/m8/8uCE8YwY4Tuqty86/aczJw4NbHfbuGvGelVu9OxWvOSiMZZyY6GLkC1RfTTt04r/m3HkvGn8f0lpHPjSRE0Q6EegpKSEm68bx/0PPsyejOBExA3U1GvGCtetaxdOPulEv/lC6WsTFRVVKfqtmT4ICzsqJkbzx5UX8NZrrxquM9hs2bqNBQs1h3Ez70JMTIwWXt8AwfSJ80V1BOtMS9/B8NPO4oOPpwe0xOWJ6grs2aBVB66/9mqiTC6RuRLI8lGjRg0DKsNVHs2Qtn07877/PqAyLOoGIVNwBg8aEKqiaxw9A+qBYvjt9z9NLbVFRUXx0htvcuVllxDvwXqhl32ZmWRnux8bog+lFIv+WcIf8/8yvdW/NhPMtvra6lpgi+Ps884PWl1mada0Ce1SUytdMxMTpC79jV3ZvHEjE+65mwmTp5pyMm6XmsJnn3zA4EEDArLM5ublGc7j7PPy8nK+nPkNOTneZbou/H1q2qemZatWDBg8qEbbYFE9hEzB6dqlc8BlOAVBj0BU12zRietODnfnx/Xr1jL61OHM/OZb0wpGdHQ04665iiZNzB1X8d3cHzhpxOls2LjJ1IBit9vZtHMvRUXFla7rLaukpITZ383l1jvuqdjWGuzYOGYHyur+CLRq3brGPzwNGjQw5b9RV3D103HKo9Px+N33P+LCs0fz/XffcvZ551NaWnnZV+971LZNG84560zTCs4HH33ClVdfT2GhuTg66ek7WLFyFcXFnn1o/L1j+/5dy33/fYjv5v5gqv76QlRUFMnJxg4ttaibhMzJ+FjA3ZIzdvzzzJtzPN179OTN9z9k4a8/Ehd3NP6N3oHUl7Lmy6HSlXPOOpPkpCQSW6XqSu+OzWbj4ssu19rtds+Ts63r7+vWb+DaG27m0KEszjhtJPsPHKg4BdlfP7jf/3Tax4wYOYrmLYL3cXZtv574RCUlJURF1Uzsk+rAWxBEb3+n2jjhAM/yCJrMpHbtxYvPPM2nH3/MgKmPAsac1X1ZbfXK5LVXX8ngQQOIidF/IrsrHTq056knJ3u97+15SkpK+O9Dj/LtnO9RSjF0yHGUl5dX2u6ud3wqLS3l+Zdf4d677zDtdG9W2Xe2L6IoG3uUPeClKov6T0gUnHJsXj8c3kJmu7N92zbatG1Lw7AjNW7SNIJzIJw352v6d77JVN5A0rgOtscPGazLmdZXGiP1OenRvRsfvfcWjzz2JBs2bsJuN78j7qxzzyMhIcFnGl/PsGD+fAoKCjjtzDOr3NPzXh05uId3p3/JbXfdra/BOtpUExgJNOkpjd1uZ23aXnp3aOW1/Jq2UnnD+Q5/NfcH7HY7UVKi2zocTJkUEbp366qnyT7fH6MyGRUVxfh77iQ6Ooqvvp7NmrXrOXv0Gbra4U5ERATjrhlb0UYzPPTI40yaOKHSmdRG3p9v58wlpWuvoJ0oblF/kVBsx+7Tr7/6/W/NPOztpfU3sHz3zSxOOmU4LRMi/KatidmiEZwDjvtHpiZOMv/6h3le7wWzH+fN+Rq73U76jp20b5da6Z4RC477Pdf8ru+WEWXC03P6moX7cwL1pjx4a1NSbPRypVS1Oam5yqM73raOQ+XnKikpYca3845a9eq4THqSg5pqs693L1hjhLOO9B07ada0iUcrkjclIxAnaF9HpDjveet317+R6zund/Lg79vj2o5QymTX9q3UB08Ym+wCXDvxTTalZVR/XIZ6hC4FR0ROA14DWgLfA9cppbx6y/Xp11+dOGwYk6c+BYT+nKnaPphaVB7E9So4Zv+u3pQ4o+W5K6buZXi670npmjThAR576umK64EOpmbk8bmXX2bnjh2cN+bCKm3Vo+A4f9djgbXksW7grlj5sqIESybd5cNoeV//MK+KguMsw13uvT3Lho2bWLJ0OdeMvaKiHZaCUz/xq+A4jlHfBowD5gPvAHuUUnd5y9OnX3/16/8WVKyRepsVeBosPb2s3gZVayC1qA14elddyQ+LJd5eWPH+BjKYmpXH3/9e6DFQn/vHwr39rhYEb0pqMJRSC4tg4VSCjBCdkGQpOPUQPT445wArlFKzAUTkKbRZo9cBFbzHKvA08/M0KFoDpUVdYcyZp/tc+ou3B/X0aVPy6EiruxJPSyM1saRqYWEU57fDXSGvrT5iFqFDj4LTC1jp8vs6oJmIxCul8p0XReRGwBmHPD8pNnpz8Jrpl2TgYDXWV9ew+sc3AfdPUmy0keTGDhOqjCWP9QOrj3wTcP9EJxiKoB6ITFrUUvQoOA2AHc5flFIlIlLmuJ7vcv0dNHN5tSMiy6rTabOuYfWPb+pY/1jyWA+w+sg3Vv9YBAM9gQSycdnQJyKRaIrR4VA1ysLCwiuWPFpYWFjoQI+Cswno4fJ7V2CLUqooNE2ysLDwgSWPFhYWFjrQo+DMBk4UkRMdOzimADNC2yzD1Igpvg5h9Y9v6lL/WPJYP7D6yDdW/1gEjF8FRyl1CLgamAbsAvYDU0PcLkM4/A0svGD1j2/qUv9Y8lg/sPrIN1b/WAQDXUc1KKXmAHNC3BYLCwsdWPJoYWFh4R/rtDILCwsLCwuLeketUXBE5GoRSReRfBGZLyKdRaSJiMwWkRwROSAiL4uIzZG+nYgsEJEiEVksIl0d1+NE5GcR2S8ilzmuXSMidhEpc/vZVJPPbAQRuU1E9opIrojMFZEWovGCo38yROQml/THVP+A1z6KFZGPHNf2Od6hCEf6Y66PjGDJpG8smfSNJY8WNU2tUHBEpBPwOnAz0ASYB3wOPIa2LbY50AcYAVzhyDYNLVR9M2Am8Jnj+pXAp8B/gGtcqvlZKRXu9tMllM8VLESkBzAZOA/t/KE84Bm0cP2nAt2A04AnRKSvI9sx0z/gs48mAF3Q+qgPMAi4xZHtmOojI1gy6RtLJn1jyaNFbaBWKDjAcOAPpdSPju2uzwG9gTK0NoYBAtiALBFpC/QFHlNK5QLPA6ki0sUlnS7/ojrCMGCuUmqxI1rtp0B3NMF/Rim1Rym1Fm1AuOQY7B/w3kcjgWeVUruVUvuA94ERx2gfGcGSSd9YMukbSx4tapzaouDMBm53+b0/UIg2WzwFLULrLmAP2rk7vYGNSqkSAKWUHS0+SEdgOtqMcgPwXjW1P9S8C9wAICJJaM+3kKph+9ej9cGx1j/gvY+uB352STcAyODY7CMjWDLpG0smfWPJo0WNUysUHKVUplIqHUBExqDtEJkAvAAsBhqimTVT0MyZDYAct2LygAZKqXyl1AilVFOl1Fcu90eKSLHbz/jQPllwUEqVKqWOiMgNaOeznIe2XODeD3mOa8dU/4D3PlJKrVdK5TnW8V8FLgCe5hjsIyNYMukbSyZ9Y8mjRW2g1pj8RCQZzVzZH7hOKfWdiEwFhiilcoAch0CcBryNS7h6B7H4Dlf/i1KqTh9RrpR6V0Smo82MZqPNol37wdkH2RyD/QNV+0hEWgAnAh8Ba4F+SqndItKNY7SP9GLJpH8smfSNJY8WNUmtsOCISBywADgEdFFKfee4VeiWtBQoADYDXUUkzJE/DOgMrKmeFlcvIjJRRK4EcPhDvAk0BnZTOWx/N2A1x1j/gM8+ugD4GrhPKTVaKbXbkeWY6yMjWDLpG0smfWPJo0VtoFYoOGjrq3uVUuMcDmlO5gCPiEhDEUlB29HxtVJqK/AvcI+IxAAPA+uUUnuqveXVwwFggoi0F5FoYDza7Od1YLyINBaRwWj9+NUx2D/gvY/uBO5WSn3hmvgY7SMjWDLpG0smfWPJo0WNU1sUnF7ASe4xDYDH0dZht6HNJj9TSs105BkLXARkoW1VvdpPHaPcyxeRg6F5nKDzAfALmpNeJtoOhTFojnyrgB1o2yrvUkptceQ5lvoHvPdRL+A9t+f6zZHnWOsjI1gy6RtLJn1jyaNFjSNKqZpug4WFhYWFRb2ka/tW6oMnbvKf0I1rJ77JprQMCUGTjhlqiwXHwsLCwsLCwiJoWAqOhYWFhYWFRb3DUnAsLCwsLCws6h2WgmNhYWFhYWFR76g1gf4sLCwsLCzqG0eKC9i1eZnxfCXuIacsjGJZcCwsLCwsLCzqHZaCY2FhYWFhYVHvsBQcCwsLCwsLi3qHpeBYWFhYWFhY1DssBcfCwsLCwsKi3mEpOBYWFhYWFhb1DkvBsbCwsLCwsKh3hFTBEZE7ReQSP2k+EJEOBspUItI88NZVKvN/InKczrTpetMGC9HY4e25ReRTEXmrOttkUfdwyqOInCwim7ykmS0iDXWWlyoixUFuo8933UP6oI8HOuqMF5Est2vjRKRERIpdfmzV2S4LC4vKhEzBEZEGwFhgpp+kLwPPhKodvhCR0xyKwQk1Ub87ngZEEbkI+BJo6yXPWYBPJdLCwoA8fghMCn2LquLvXa9u3OVRRCJF5ErgWyDWLXlH4DalVLTLT3l1tdXCwqIqobTg3ADMdgq5iFwuIjtFZK+IPCQi6QBKqdVAGxHp7qkQETnbkS9PRB53uzdRRPaJSL6I/CoirUWkgWMm1ckl3UIRGeeh+BPQojnnG3y2sxyzzDwRecKlntNEZK2I5IjIXBFp47j+qKuFxfV3EflTRJ4QkTTgQg91DQdyPDXCMdN+FvjIYPstjj0qySMQJiJviEiBiKSJyPGO63OB80UkyVMhInKDiGSKyCHgZpfrYSLyiogccrz/XztksYvDmhHnkna3iAz3ULzXd90P14nIfhHJEpFbXOoZKyJbROSwiEwXkUaO6x+JyASXdBW/Oyy0D4pIJjDArZ5o4GTggIc2tAO2mmi7hYVFiAilgjMG+B3AoWy8ApwDdEcbJFz5AzjXvQARSQSmAbcDLYCmLve6A7cBxzmuHwDuVkrlOuo905EuCegPfOdevlLqYaXU9cAhg892MjAIGArc71CsUoDPgTuBNsBq4DOd5Z0DDFNKfeGhjTc72uiJF9D6dbex5lscg1TIo4NOQDqQDMwAHgNwKEBLgNPcCxCRjmgK9RigA9DN5fYZaHLRBUgBmgBXK6U2AWnAqY4y+qApCn+5l+/nXfdFX8fzXA4857C0HIdmGb4IaA+UAa/pLG840FUptditfbmO9k3wkKcdMElEDorIOhE508RzWFhYBJGQKDgiEgYMBNY7Ll0MzFJKrVJKZQFPumVZAxxPVc4CliulvlVK5QMPudzbBZyI9nFvDhwBnLPOb4DRjv+fDixUSh0M7Kkq8YJSKlMptQbYAaQClwFzlFK/O5SsR4G+Ov0D3lBK7TLSABEZhTaoW743Fj7xII8AucCzSqki4Ae0d9iJN3m8BJiplFqglMrGoRQ5WIImr7lAM6AYz/I4Gk1OygJ5JjemKKVylFLzgAi0Cc81wDuOMecwMBG4QERER3nPOcYpI+QBH6Atr00EvhADvoUWFhbBJ1SHbSahKU9Oc3MbYKfL/X1u6bOAlh7Kae2aTyl1QERKHb9GAi8BPYHNaAPbDse9b4GXHGbxM4FZpp/EM3td/l+O1o8puJiolVKlIpKDi9XJBXfFMttI5SISD7wKnKuUUvrGbItjGHd5BNinlFKO/zvfYSdZaFZPdyrJI5Dh8v8GaP47rYCNQCOXe99wVAbPBJ4y2H5/eJPHhS7XD6BZjhI85A9IHgGUUiNdfv1WROajWa22GS3LwsIiOIRqico5WDq/vIVoJmsnnSonRwF2D+Vk4uJwKCIt0BQZgLvRZk2pSqlRQIU5WSmVCawERjl+Zpt6Cu8oD9cOoH0AnG1NRDP/70R7Nte+9qT0GKEDmtl9lWMXy0PA9SKy2Hc2i2MUd3kEz++w6z2/8uj2/8fQLKUdlFJnUfnDvgxARE4BegC/6Gy3XvzKI9qYk+2wrgZVHkWkpYiMd7scARQEUq6FhUVghErBOYBmonbO4n4HLhGRziKSDNzrlr4R2uDpzo/AQBE5y2G1eIyjA2842iASLSInAFcAES4m6G+AR4DtRpd/TPI1cJGIHO9o66PADw5T/m6gn8MRswmaz41plFKrlVIRzt0awBPAe0qpwQE+g0X9xF0e/eFNHr8GxojIEIeD+0SXe+FAlIhEO3b2nYZDHh2Wom+BF4F5Sqmgbi33wlfATSLSzdHWR4CPHfd243AgdvgHDguwrhzgIRG5WkRiROQ8tCXBeQGWa2FhEQAhUXAc6+tL0JaPUErNRXOG/R+wwXHPdQ2+B/CPh3Iy0RwHX0bzudmCZrXBca0VmoPwROAWNMXhLMf9b4DeaNtODeHYfWFoR4RjN9gdwCdoH5SujjaB5my8A20p7Wu0nSoWFtWCuzzqwJs8rkWbnMxEe5d/crn9ODASTR4vR9sAcDfQy3E/EHmcJCK/GcmjlJqDtoz7M5pCYwcedtx+BWgoWiyg14A5RtvkVlcBcD5wD5rsP4S2fBxMvz8LCwuDyNFl+CAXrJlsE5VSDzu2Z8Y7LSkOB9nHnRYHEVkI3KiUWhfE+sPRBttuSqk9JvJ/oJTytLXcwqLO4SqPftKFoSkvQ4L5gXYsL28AWhi14Dissu+a3GFlYVGjdGjZUE294STD+Sa8O5/tGdmWg2UAhHKb+Hto8WLC0WZu/4hIW8euovuBXwFEpCdwKMjKTQzarqa/TSo3w/CwjdXCog7jKo++OBNtGSmYyk0ccB3wmcnlqYvQlpwsLCwsdBOqXVQopbJF5G3gUqXUdBH5EFgBRKE5/U5xJL0TeCDI1b+CFpejSmwdPSil/sJScCzqEa7yCEz3kfQGINiWkm/QHJKrxNbRg1LK8LKWhYWFRciWqCwsLCwsLI51rCWqmiMkFpzk5CSV0rZNxe/lHD3SxUa5x+tGcJbhmr/gyBHiIiMpOHKEwpIjxESEkxBpQ4VFVMrrvF/xe3EJcdFRNEmIB+BA3tFTG5okxHMgL5+C4hIKS44QGxVJapMkbJSbbrt7W5zERUZWue685ul56wrOvwvgsd/MvA96+t/M38iZx7VNvtqlN507q1euOKiUauI/ZXBITk5SrdumerwXjHfLXxnO99leXk5CTEyV60Al2S0oLqFJYgINIm2UY6uUDmDr3v0V/4+w2ejWuoXptntqp/N9dR8rnDRJiPf6fnmTaSOYfa/0UF5WRtYhbfWxcVIytvDKn4BA6w5kbHSv21s7SrL3EREdS1h0g6C1o7pl0qJ6CImCk9K2DQv/OhoVvsBWcQwNceUFHq8bwVmGM/+iHVq8sSEpLXn994Us35LGKa2TGNQsgc4DhlbKu2hHBiu2pVf8vnxLGv07tePW4VrgVmf+/p3a8X/DBvH2X0tYviWNpVvTGNixHR/83xXElReYbrt7W5wMSWnp9Zr789YlFu3IqPQc7s8QjPfBE2b+Rs48rm3y1S696dxJio3e4T9V8Ehp24Zf/l7o8V4w3i1/ZTjf6Z+//IxJ4+/BGcnB/V13yubyLWnccPoplWQiPyeH3du3sqeghFf+OBruyQ78/t6zptvuqZ3OtgCVxgon/TqkcmrrRI/P60l+jWL2vdLDoh0ZzJ32Ifs2b+D96Z8Gve5Axkb3ur21o2CDFkYprttIb8kNt6O6ZdKiegiZD06o8ffyduzRi36tE01H2irIPsykqU/RaqinMwEt9OCqTJod7C3qD6MuvqxCuTHKrHffZE/6drKzcwhv2ZmyBL0hfczjfHedE576wmmXXkF8jqfzQi0s6he6dlGJyG2inQKeK9op2cGxCdcAzhmiP+IaNuLssdou8aVb/acPFNeZn0XN4WsWWVuoy/Jo9j3v0q8/aRs3AFAW631pItjoGSvqGhGRkfQbMLCmm2FhEXL8Kjgi0gOYDJyHdl5UHtopvXWC2qo4uC+VOa9ZWPiirsujWXoMGkJ0bCyn3nAr2ELri+ZLDn0pPJb81i78TVbqwmTGIjD0WHCGAXOVUosdJ3p/CnQPbSWFkuoAACAASURBVLPM42kAWrQjo8rg4y1ddeNpjd/J+nVrsds9HQkUGqrj+evioFLL2lyn5NEbRt+12Ph47nrmRZJat/Wf2MLCwgJ9Cs67aLExEJEktDOfqngsisiNIrJMRJYdOHgouK2sBWQezvGfKMg888KLLPhrfrXXa1GrCbo81hXn9fZda06PW74ljcVr1rNvmWdn7fpCXXkX/FFfnsMiMPwqOEqpUqXUERG5ATiIZhr/3EO6d5RSA5RSA5okJ/mtuCZfwOrwqQHYm2E4iHIlrrn/QQYPOd50/qKiIgoLC03nz8/L49efrPMCaxOhksdQsmJbuk9LJVS16PhL760MX5ah/Lw8iot9B1L2VW9YRASl+Xk+0/hr96FDxgJEu4+TOTk5lJaWGioj2JSVlflPZGFRC9B9VINS6l0gFi3q8GwRifCTJWT4245aXQqMP775Sl90eU+D4opt6UTHxBIVFWW6/rWrVrFq+XLT+SMiI2newrz/6opt6fzx668s2fSv6TLmff895eXe42Mcq1SnPNYH35JVK1ZwwegzuOjs0Sxc8L8q9/U8Y1h4BG1O9h+M2ZeS8+nHH/tVEApscR7HuD82beX6K6/gu1mzgKMKnae2h+pvdsv149i+bSsb1pk/WSfQZXelFIVF1XEgvUVdR4+T8UQRuRJAKVUEvAk0BkK6lSEYEZYLbHEeB5uBHatny+ctd95V6Xe9vhxmZq+eGDRkCMefeKLp/FFRUeQlNjE9WCq7naxN69j8t3bqhbeB29v1lcuX8darr7B+7VpT9QPsTE9n0oQHdA+q7u3Izs7h1dffMl1/sKkpefSFGWtssN5xJ/7fUcXejAzS09I4dMCzFcVbm1wnTHonTyu2pXts0x333Et4uL7oHK79umhHBu88NolNGzfw6ovP88uajZXS6lVy5v44j5cee8Rvf3mTyaX//MMdN/0fX3zq67QP3zw75QkeHH+vKUtQQX4+b3/6LfdMftV0/RbHDnosOAeACSLSXkSigfHAWqVUSB1tXn3heQ4eNB+rwV5ezoZ169j09/yKgUuPo7HFUVz7y4iS40wrYWGknnYu3U8+1WtaXx/Hnr37MHveT/Tq00d33e5ERkUxfOQoCgvMOQo3bJjINVdfWelaXHmBoQCFQXYUrxF5LC4u5slHHzGdXynF7wv/Yf6c2Tz/zvuAZ4UiVDLZu28/uvfsSc/evRl9rqkj6iopN9W5xO6Up5ap2sQsOiGR6NhYU+VExyew999NPtP5ejYJCyO1XXvuvt/88YEnjziV/z7yiG5Fz5WIiAjWbdpOaVlgVt3q3LxhUXPoUXA+AH5Bc2TMRNvFMcZfpgcfftTrPT2Dwx33jic52Xzk7Eeuu4pLzjuHw3sD84M5lnCNHOsayVXvbNs1n/PfQAKkmRkA3WneogUnjxhBfEKC6TIS4uP9pvH1Tj/20ETTdXvAlDyuWrGcb2d9bbrSlZlZTHx0suF8zvdg04I/+XLyBD596TkaN23mMa1Zq44e5VtEuPKaa7l/4sOEhelema/x5W5XOWzYtRciwtXjJxAeUXVF0l323P8PkNi0GXmHDlJebs6P5va77+GN996nYSPzgRYHDzmehARzBsfIqCiefvBmLr/yKtP1b960kc+nT7cckY8B9DgZlyml7lZKNVdKJSqlzlBKbfWX77FHHgpOC82gFNc/OInEhg3pNiz4kYiDKRjLt6TVWkuS6wfH9f/1wSfDE3r+rma2jD86ZaqZ5njErDz26def0eeYs1wEgxadOjPsynE0b5tC5z59K64bUWr0Bun0xuhzzqVPv36m8joVnZrYTenso8at2nDyNTeSFRFjqN9cJx628HDC4xM4mGFOhq+6dpwhBTEUxMXGcNklF5nO37lLVy4fOzaILbKorYTkTS3HFpTZt2lEaNKyNZ/Nmk1i0+ZA8Nb8zS7b6CXYvglGcT+DR68C5m7xMWL1qa3UtxleTcpkw+YtSW6Twm1PPoOIVHqn9L4vJYUFKLvxpQnnB97sMRHBxMxSLxyVw85DjvrUeeozX+U7FcToxk1YsGRpUNpYXdSyWFQWdYSaVcVDSGx8PG3amg8KVlJYyOqFCypd02OuNjI41FbLjRPX9jn/728ADSY1NdDWN8WmOtDTZ8ltUmjaspWp8v+Y/TXr//yVjH/+QkqrnvDtCX/bxo0SqPXG0xKSv7TuMuVpwmFU7mKSmpBtLd1bHAPUWwXHnX4dUg2lt4WHk9CoEcu3pOke2IwMYK4s3ZrmcSCrDSzdmuZRsTMbzl4vtXEWaRE8jPpmbd+TwZLZX7F30Z/Yis3HdvKHnne3ut9vT/U5rznHDSNKzt59e1n7+898Ou+XgNpVUzTtbD42mMWxRY0oOJ7Mja7Xgi1kRpUbgPDISLIjQzeTdw5InpSHmlZunKbspVuPKne+lBx3U7rrv3qoC4NqfaU6rFXB8DNL7d0fgJZDh1OW0NBjGtelrkBiw7grC2YsN+7Pa3ZpyolzomHE6dl1ubhivFm9GnZsoTAnm+8/+dhrPguL+kCts+DUBuUGPH+gjQx0wX6Omlg2cT6vr+f2NhhD5T701h/WYHpskW0wkq/zvWnUoiXdThpBi0Ge4zoZdbr1hFklzFv4CaPRm91xnWi44lR0fC1Ved2CH5sArdsD0Geo+RhZFrUbETlNRLaISIGIfCkiHreReksnGi+ISI6IZIjITS552onIAhEpEpHFItLVcT1MRJ4TkUwRyRWROSLSvHqe2DO1TsEJJsFwTHMfXELxQc48nONxcN29fRvfzvqa3btrfr3cVcnxFnnZdTAOtr+SRWCYkYVgO3Ye3pvByw/cy3FtK0fH9mfhcb5vJ15+Dcu27/B634kRHxd/VFLyy8uJ3ptOuYsPkGs5nnZ56a3Hn79Q5uGc4OzgEoE+xxOV2Ijex59Q5bY14aj7iEgj4DPgPqA1IMDjBtONA04FugGnAU+IiHP74zRgPtAMmOkoA+AiYBTQE2gB5ABTgvt0xqgVCk6wB1JnpOJDWVkUmQzw5o9gfZy9KQ5K2flxxjTefu01mjf3HDcklDsLKikoShG3fT3PvvmOrmMXfC1recLMB8qiZjDruFt+5Ag/v/Uye9K2kZ5mzlKyYmu6uXx+dmkt2pGh68MeVlpC9P5drPjgNdK2bzfdFve6jezMdCo6mYdzPMqXt+dwKl6Zh3PIzC+i86Xj2JrlWWFaviWtSpssmaxTnAOsUErNVkodBp4CLjWY7krgGaXUHqXUWjQl5hIRaQv0BR5TSuUCzwOpItIFKENTkpzbNW1AVmgeUR+1QsHRixEh65IQzZVXX09GujYQOYPYGSFQP5IjJSWG63QiEsbpl17J5ClTTW/vPbB/Pwv/9z+Kiop053Gfhcbs2UbDNX8Tv3MT055/iukT7mLTAu8nnLsva5WXlaEcUUM99ZG3Pjay1dzCHEYV5ED8WrI2r6sIuvn3X97fn0DwtPW88qRB8es631F8vZUHYCspIqz0CDRrTW5OjuGP/uINm/npzZd5/ekpbFjufZu2s/1AJT84AOzlRGZlgo+jbNxDPDifw1Uhimrg2Y/JHUuxqVlE5EYRWebyc6OObL2AlS6/rwOaiYh7xFJf6dzvrQc6Ar2BjUqpEgCllB3Y5Lg3C9jj+MkHhqMpTTVGyAJjFNjiArIwLNqRYUopASgrKuSGq69i879byNy1iw7de/pMv3xLGgz37JnvbhZeviWNRQ6/HudA4myn62Dat30Kd992C6++/a7XwFj+LBwHJIKLjzsOvPSjP7+cnOxsfvrhe4acUNUUrRd7VAxHGiYTmXOAmOhoeo88g46Dh7BiW3oV/6Yqz1NSzOdPTaZV27b0nfQYYTZbpdt6FJhtW7aglKLjf/5j+hnMYG0VP4qnv7VRkrr24tCyBTRp0pQRo0aRXioVZQcTbwqzUorpLz7DhuXL6D1kKJfedpfHdL4oTUwia8AImjVKpLCxZ6uqL5S9nAbJTdi2bDHnXnix3/SensVWUkT8tjWo8EhoncpP6WtJGDSMqAYNDe1MW7o1jf6d2lUZZ/1N6nJzc5k3dw6NGjdm5Oln6K7Plb//+otOnTvTtFnlPnSVOW8bUeqiXB4pLmTnxmXG8xUVopR6B3jHYNYGQMVarlKqRETKHNfzdaZrgLbE5CTPy3XXe+OAVDRl5zBa1PU30ZauaoRaacEJZNDr36kdxdlZ5OflER0dTebuXV7TOj/IgRwn4A0R4fw77quk3PgSTk+OhHry+aLjf/7D5KlPBRTgrCS5JYUpXcjqN5wnpn1B39PPJjwisko6jwNjXjYRsfFsWjCf96ZMpqy01GMd7iZxV159730euOcuSr3k9cfejD3cd+cd5OXlmsqfm5fHrNnfAXU/2JiR9utJa2R2HxYeTnKbFK55YCItTMbC8Ya3bdSuP0vWbmDJb79yaN9ecg97t5rrWVY16wsTGRNLm+69uOC/k2ndoaOpMspj4skacCrFzdrC+mWkrVzK9rkzdQdAtBXlk7B5ucd7zr+np7AVzvtPP/E4Mz//nJ9++MFU+/dlZDD94w8ZMXQIt95wHYWFvrf8ux/6qZTij/l/8fpb75qqvz4hIg+KSJn7D5rhIsYlXaTj2mG3IrJ9pKt0D4j1ct313nnAa0qpbUqpLGASmv9OjVErFRyAuZ985PGwTT2DanyL1nw043MeffhBhp19bsUMZUhKS0MzUb0+JJ7W8FdsSyeuQY0d8Bx0yuITaWDw/JkDZQCKgeeMYcDJIygp9r9U5v73vej/buX9Tz71aZIH7x/kPbv30LJJI3bt2Km32ZXKjI2JoVvXLnVeuQmUkuJiZr79RkBl9Bx+Gk1btqrSl64TjEAmG762UYfHxDLypjuxhYfTur1/5WLFtvSgn0PVr0Mqrbv1IDZR3/KQV0QoapEKDTR5zN+zg4yFf3oMzOnu9F8eFUtU1n7Idf/WVcXTWHv52LHExceze5d3efIlKw0aNiQ6OprBQ4Yw6fEnifVyaKi3SV1sWT7TPpnB5s3/Vhx6q1c265sMK6WmKKXC3X+ABUAPl6RdgS1KKfcBeJOPdO73ugGrgc1AVxEJA23nFNAZWAO4a6ulQI12esiWqL77ZhaXnWNeeRt18WUBHbbZvGVLLr7wfH7drX+2ZeSsG2daM6Z7f0paTR/w54/lW9J0fYjsUTF0OPsS+ndqV9FPnpYefZUVZrP5PdjP18A1YNAgTurf3bQVLDw8nC6dA1see/GZpwM6fTkYpO/YycGDh+g66OhypZE+iYqO5txrrzNdv728jJ/ef4MW8TGMSjl6Jla/Dqms2JbuUclxj69UxR/FC+4fd+emg9bdenD9g48QFeM+ATVOjfuHicDJ59CvXRvNx83HBKDSOVphYRS2ak/Ctg3oOKO1CrkJSdww5Tki9nm3jPuiSZRi8tSniY+PN3WmVVhYGK+9/ALLlq8wVT/A1n//ZcP6dZxz/gWmy6jlzAaeFZET0fxqpgAzDKb7FBgvIvOBTsAVwFCl1FYR+Re4R0ReB+4H1iml9ojIHGCiiMxDOwh4ImD+hN8gEDILTosW5vxnnERGRQWpJZ5xVyLclY7S/DxI21QlLLy/bePBPjyzLjj5OfsgkG2srkqPkY+Hv6CRtYGrr7u+pptAXGwsjRs1NDTjdSci0rxMHlyznJKcw/w4YxrKjzUOjsav0vMuuH7APe3gc7Xs9D/pFLoPHOyzvGDJr7fjTQL1Z3KSmZuPLTKK8OgYwmOqWkK8TZSKWqRCRjqL16w3Va+IUNbC/DE4DRo0COjAzri4WE4aZt6vsF2HDpw84lTT+Ws7SqlDwNVo27l3AfuBqQAiMlZEtvpLB7wLrELz0ZkJ3KWU2uK4NxbNryYLGOEoA6XUdOBj4A9HvnJgQggf1S8hU3AGHnec6by+BgA9jsf9O7Vj1YoVlJd7XpfWY33ITvsXNq2iyaLvabBxKVJWVnHPWxAtTyZib9R0tGInzo+dmY+e0ZOgAyWQ7ao1qfQ0TkqqsbqdNGmSTPv2wfc100v2ts2AFtspY+8+c4WUl5OwZRUN1y4EL7IN/k/+9uaT5q4QmFHYa9r66m2C5fosKiKKokbNSf/5O/ZnVI6xZaT9dWHy5QmbzUaDeuQ+4Aml1BylVDulVLxS6lqXXU/TlFIddaQrV0rdqpRKUEq1UUrNcMnzr1JqsFIqRik1TCnl6qj8lCN9Y6XU1UopV6fmaqfW+uAEglKKqY89ysxZ31ZcM/qBi4iNBxHK4hIpbNMJ5bZV231Lqif8fdSDErjLAMEYkIKpmLkrsp7a5yv0vju1zXJTW6mJnSipp5+PLTqGsfc8QEReGkNSWhrfJZm5m9g924g6tJf49A2Vbrm/l67hCpw/nt5ds1GNfZ0P5Yr7GKDHemN0MuBLKfEWINBWUsjhf9fz4n1Vd5N56it/UZJrO9bYcGyiS8ERkatFJF1E8kVkvoh0DnXDAiFz+xY2rFvHcy++XCXQn95BtUFKe+g5mKx+p1AW79kp0NvA4moSD0Sp0HOCt15CNdvydaZWsPDW9rqwPBUK6pI8Ot+PyPgEImLj6Nirt/nCkppit2kTjdhd/xKeG/wYYkYmHcFS9s2Gw3DF1y7MKiiFclixYrw4+briL0iihUVtxa+CIyKdgNeBm4EmwDzg80AqDfUMMn215oB26FAWW9etMVVGWHgEtErVnPl84D7IBetD722gXbQjg1UrlpN92P8uCL3UpFLgvlxozQ59Ewp5NIvRD3P5kSPY3GIhuZfh08IRFcOBE88l86QLODD0bMpjjsYtc5W76rSMusq/8wiH6lym8me98YgI2T2H0qTXAGLi4g0pKZ5OLw+VkhPs70RdjKFjERh6LDjDgT+UUj86to89B/QWkcahbZp5+o8+n34DBnDu2aPpOXhIlfuBOPk5d2S4DizOHR6hHthKS0tZ8b/5jL30Ek4ZMphLLr2Utz//KqR1OmnWKLHS77XFh+gYpEbkMVDFs7Qgn9KCPArz8/ym9SufIqiISJSHeEy+MCKf/tK6y/8/v/zEytemwpI/YH8GWoBX/djtxtL7a5NfwsJIGXUO51//f4brMbLUFyws5cTCDHq2ic8GfnL5vT/afndzkdOqgfCICCZOnkyLhCjWOeLD7d+8kLhuIyvSDOzYLmCFxNsMyXnd0zZyZ8wcPXUXZ2fx5Ruvkrl7Fw/v2UXOwQNEREej7HbK7HbiEhLo0KNnpa3XzoHGdWbsbfCZ+fnnrF+xhLPPOoMhgwdpJ4fopExHTBu9BGtXyTFCrZdHT+/gvuULQSn+9/0cRl/nOXxEXXgPog7sISL3EKBY+vdPxGKntDCfpQX52lbtPWlQkEtxl/8Q01hfmAu73c5rE+8na38mXfsPJLJlW9p27xXaB0Fztu7YQ6vHOS75sn55ivVl5G92LCwfW9Qu/Co4SqlM5/9FZAzwFjBBKVXmms5xRsaNAK3btAm4YZ7M33pM4v06pPLjr7/x1jczeOvlZ1i35+i47x7q22mNCSaeBoiioiJidMbecJ0dhdlsJDVrRtf+A2jWug1JzbWT53/56gsaN23KoOEjvRVThdIjR8jK3MffO7aye9dO0tO289knn1BeXs7MWbM56cShvPDWe1XySWkJYrdDUQTZBw9yJD+X1X/+hmxeTdHxJ9LvzHPYctj7wOUMCR9MAjnGI1js37yQpp09H+8RSszIY5s2rQ3VEegRK+4oZefQ+lUALPn9F9KOS2Jw5+MrZNEZCyfUZB7OqainX4fUira6hznwN/mwR8ZAo0YQFUO7Th2IiI2ndZTw68fvsT+pNQ269/Gr3OTlZLNj8yZ2bNnMh5s3sm7JPwAc2JvBiZdfi3jbRu3cYu9j6VzvxG3p1jT6b2tnSElxjk96Y2HVJM7jgizrz7GLrkB/IpIMvI82W7xOKfWdexrXMzP69OvvP9BFCNm5ZiXLf5rH9Bn9uWBs5eBkvqKoGsV92cad7K2bmHLvbPZtWs91Ex+l9/H+Yzf073TUshSZkMiI00+puDckpSWLdmRw+qVX+C1n0Y4MBrVuxg1jr2Jr2nYKcnNJatqcju1Tad2mLa1at6ZXnz6sXb2aW2++kVv+73oiwsuqlJOwZTWRuYcgLIynV80nr6gIcnNQSrFpwZ9kbvuXNudcHhS/B9dDAl3/Ls6ZYn5ODt9/+jEnnnkWpLRk/+aFAFUUDW/KR30Z7IzKY/9+fUImj/4UTefHM+/MC9n81UdcPf6/RIRXjYJbLdYbpdi0YD6djhvqN6m397mkiXbMREKjxEoTpNad2tFj3B18v2w1DcT7yv+qhQv44rWXKCkuJuU//yHlP1245IoriEpqwoblS/m/Rx7nABFe22ErLqDRij85ktSC4uQW0CAOwmxwYC8kN/OazyhLt6ZxA6d4VDyXbk2reHa73Y7dbjd0IHB4YRbFkQ1MHyJsYaEXv2+YiMShhX5eCHSp6X3tvnAqAPs3a1tIn37uBc646HKSI+2V4kUPSWmJ60kmwRxcmzVKrBhcwqKi2LFmJcpu5+3HJnH7lGfo2m+A7nJcMWOxsNls3HXf/ewpD6NB48aEhYVVKufKa67l8M4tpLT1bnHL7Taooj1TbxvHu/P+ICdtK7v/+onBo8+l06DjWbndxzEI+zP4ceaXJLbTogE3Li0iMS+Lbj16eM/DUSXn8N4MFs/6giWJCezcspmDe/fy+6yvWH7ueYw7ayAtmnqPMaOU4q1XX2H5P38z/u476d+vj886vWG32ysFJtu/eSG7N6+sEQtOdcqj+7KuUVytOQ1S2mOLjKJb/4Gw0fixGUHBXk766hVsXvQXDW6+jbLSUq09VPUrcZVjvYiI30lPh27dGf/iazRu2qwiHs+QlJbEdu5Z8Z4d8GHN0s6iGkHUwQxi92yDzcshIhIK86FZG+ztU3w3UikiD+/niInDQitI38yezDQaZHXlm6cmExcVyQ0PTyaute9nBzhypJSbbruLDZv+5dwLxnD+hRfRNjXVUPVHjpRSVFRIYqL/+sBaGjuW0eNkfAWwVyk1rjqVm4MHqp5DpZcTzhhNeHg4V1x6idelIb2WG/cBy4jFp0GbdvQZNZrjhg5l8IiR7Nr6b1CcCd3xtZzXq08fzujfy2PkUJvN5lO58UZiu450v/pWOg85kTCbjf6d2nkf2G02CjJ2s3H620yfcCdTbr2Bay6/lIUL/ucxufuHJrZBIl2HncLgEaNo37W7Vn9SMl26dSMxoao1xmnVcXLehReyYuUaLrrsKqZ9+pmh5yywxbFtfy633vugoXwhJiB5DMSClX3ooOm8ABIW5jX4JgRnu7QvmiUncdrNd9KtZy+ev+d2Xn7gHjavWkG/DqmV5NrM0rWnSZKnsSKhYSOSmjXn+NSqB456klFPcmWPiqGoVQeye58Ioy6CcIfFJ3MXW2Z9Sr+2rbzKo5SXE799LfHb1/k9382VSnIZr5W95rd5ZG7fwvaN63ni/8Yx/68FVeTPHZstjNNHncqB/fv54J23+WLGp4YO0lVKce/9/+WJqc/ozmNx7KLHRtgLOMlxSqkrHVwjGAYDV037px++5/SzziIpKdlwOaecNwaVubNK5Fb3JQ1fyopSCsrLNPNvANx83wMVliWj+FOmQvVBcNY7d+kqv2n8ktSMdoOPQyk7kTu3sPDL6RQVFnLrDdfzf5Meh2a+/UOi4uJI6dmHvh1S6X38CQwaPpKu/QcyrFMqBRt+8ZlXRPjt5585ecQIbrvhanr26G745LfmLVpw2913+0zjT2koLy+vsj06AKpNHl0pO3KEv3+cS4shJ5u2eEpYGHYPCo6rfLg7y1dBqSr+J0Y2DEhYGINHjOK3Wdruwx9mTKNL3/6AOauNJ4wqSAFZGCKjoO8JkLkbEhJp0707YvM+b1Xh4RzuPYyGa/6GtYtRZww3Xmdyc1p1bEfPNs357tknaNGyFd0HDSY1NQWKPJ9R5fqMGRl76dWnLw9Nfoyu3bsbqlpEOOP0UWTs3Wu83S4EWSYtail+LThKqduUUmEeTi31OZg+OtHzrFfvDPKKq68xpdw4mTRxAif39G+G9TZY52zbDN9Ng9kfkfz3XGyF/re3GiFQB2dfyo03i45ZhaiZw99gSEpL0z5LImH0HD6Ki266jZfefIu5v/xGryH+fSFcCQsLo9eQoURE6t8efNXZo3j5znH0bGl+F3Vqu/am8wI8PunhgPK7YlYely1fycxZs03XGx4ZyegrrzGUx/V969+pHb1uvJc4R4h895m++7vp/ru9vAxW/k2jlfOxFZjfMNavQyqtO3bi1sef4ubb7yAiIop9Pk7G1oNTJsyciu58TtfnNaJADuzYDho3ga59GXjyCGKbNCfM5nveqiIiye59AuRkMf+T9z0qnXqIjI7hwoef5PYpzzD8vDG6rME2m42777yN6V/NNKzcODnz9FFcdfmlpvICbN60kS9nfGo6v0XdIWRHNUx6/ImK/+s91j6YDqDR0dGISEWduzev9JrW04c/qlFjaNwUUOR37E15bILf9fXaQKBWHdfBVc/z+huMXRU5CQtj5EWXMmLkKFq1bu3xTCDXD4PeWDuezOKyYwPxj55Nw+s6kjh+KFHX98A27VFd5emhdee+utM++uSUoNVrlgH9+3LBeefUaBvCwsO9ngPlH4H2XYnMPUTSsl+JS99oaInFlfDwcHoffwK33HkXt095huZtzB8c6Y63iYurs64npcYTodylpMIjYMgo8rMO8fKEe/nijVfIcjuXykkoYl6ZeQ9cvw9RARzG3LlLVy67aqzp/BZ1h5ApOIGcFhts3D+A+zcv9PthjkxoCI2SoWs/ipsFvu3dCKHYvu6JCoWzvBz2VR7Eblj/KRfnrKaRvbhKPufAW5vjltg+m0Lkyl/AFkFZak+UCLY5bxK2d1vAZdeEc3EwqCmZDMZ70qddG1i9iLKY6C/zIwAAIABJREFUOPJTu1HUPKXSUlV1yUwgmNkKr/e5TD1/eDjDx93ExhXL+O3rL1n/56/Gy9CB68RWdmwk4rELif7mxZDUZWHhSu3RQoKMUWde52zK+fG2RUYy8ILLoEvlnTfB3nHlxH2ACtWAXTHYlBRi+2wqERNHE3n7YCIfOhuKtGW4xod3M3rH77yYOYedWR9ybu46n2Ua6ZPqil9TdudbFF08gewP08h9eSn2ky9FysuImf6orvz1dedFTT5XxqI/Nd82L23x1baIqCgYehqHBp1GYUoX7NH+z1DyhTcrilMmA5E/V8tLMGTDmyU1GG2NjounQWNtJ+K2Zf9ACDZBOJGMrURMvoCwVX8Qtm97yOqxsHBSLxWc4sJCHnvyKb/papsFol+HVI9tch/4onL2E7HwGyg06IugFLJlOTGfPU7ibX0J/+o5wjb+g+xLAxFkXzoABbENeaPHVSyMSSFGlfHGvtlcs/EL8OGHFCqFzJN5fEhKS88fw9IjFcsW5bZI1kV0ZcWrb7L2pRc52H8MKqklZV2HmF7asDDP/vRt7FnwGxuWLTGct0ImbOF+z4YDfUurrgxJaRmUsSAYZThlvbrGpjCbjWe++IYJr75F1xNOJtzomKKXvCwiJl+IZO9HhUdSdEmt2ploUU+pl5GWNixfyrTpn9GpeRz+onh4mjX179Su4sPq3KERyO4Ks+e0iL2cnJfuZsG2ZXRqGE1ss9aktutN1/99RFhhLtnvbMQeqzltRs96AexlFJ9zB0RGey4v/7BmsSnTtmXaU3tQfvmDqMRk9pfk0qRdT9idQ0lUPCUjruWikraMy17Kowd+4by0n7Hf0pNWIyeyp0X32qUclpUS9tOH2OZ9QFKDxhy64HZ+uPxq0n/6uSLJUqD7VZcz6MybAvADqZuUGzmDI8g4d0it+EGLRTj7w3c54bqTqqSrTstSoFbEkTsWcM2unYzYWgThEZQvTiK8URP29RpF/06n+C8AH0EnC3OR8lKUTdv6PXHZKyQd3sVrkd15JdZcHCd/hIWF0b5bDwZHxTNvxjd+0xuezNjthL98C3JgF/ZO/SidPBsV1xQAycvCtmsjZd2MbTiwsNBDvVRw1vzzNwBPvvoxfbp3oklSQ5/p9Ua4DeU6f8KRfNr9/h5JW/7h3RQtUvGB3bu4dvNcWkWUQw6Qsw3+nQ9AWbte2Bse3SUWuWg24f8uIfKvLzQlJzqOsIwtyI4NFF73LPGJCRQkNMY+4koIC6Ow35lE9jmB/VuX0LRTf5SLn5IzdP7ATu35YIuipOMA7tz+Na0yNzNyx3w+amFu90Mo2LNhKb2X/EDE5mUARMUksOerWaT/9DORDRvS5frrKdqXSdrXM1n/yQwkqRmDpkyt4VbXPQJRaJVSRDtsxfbyckrL9O/aca/X01Zu1wmJL/zJr3My4ywv2V7EQYmusBqJUszM/JJzY/c7HgY4AhzKgUPb2d9d35brHelpPDt5EqV24YQj6VzXSoht34Ow3CwiFn/H0OcXsgDtqIeEI3m0L83ihdL/0dJewEutz2Bfdq05dkwXtrlvYVvxCyq+EaXjP6Qov5iiwgPElOWT+F9NIcx+b8vReD7VSH2Jbm7hmXqn4AxJacmsho0AaNmkIY0bNvC5g8oswTisE+DE2CNcs28+l/3+JpF2LbRJ8+SR7ItrSkJSE/5ocxK7Nq5l8AVXMbhdc8K3LqO0/xkcOelScOwSK7DFUXTencROf5TwHeuJf7XyCcE3frWAQ617MaB/X+6/dyoRERGU2uKIdJs179+8EOKOKi9FBzPht9ksHn4GH130KndG7GZNyjBIC24k2hXb0g3PqmXjPyT8/Q1dV/5BzN40VEJjsk4by+7yRBbdrSkwQ197nXYXjCGuvIAdY85h7sWXk/bGi/ROOEj8iPMoHTQ6qM9h4ZnjU1tRMnkq9150Dm+99Tb/fn4/7XsM9Ji2NnxwIkqLuHvVO5x0aDFpYQ04ueEY9tjiUSLsjmxEfulB3j8cz7Je5zBg1GhiSvK4rFMLdkc2h/3aMu7QpTNo3qwZu1peTFlMQqXyP58+nZV//4+XWx1mVIMS2AJsWQyAEsGemAyOEI6v9LqO6M2LeDrzB8YXrWDAnsOMy/8PGbFNoFGiV+VuYMd2PuNY+cPoZG5ISkvwZIUrKcQ283kAtve4kL/OupRDGzYCENW4ETeMjCc6axcRS7+ndMh5ptvrC+eZVBbHHvVOwQF49onHGdi+NXJgPTYvQa98Bd9zzhr/Wb2Ow5vXQUJTU1vEs/5dz0KKaNmuPVvWrOKU88YQHhHB8i1phNvLePDAb9x4eDERaI59+7uexM6hl9M2KoV9aXuIiouj0YPvcWrzJCKjoigBSjzUE1deQMHQMeT0P53oOa9h270ZKcqnOLkNk9+dwbo8O6U7dzF50kQiIrRZUmxpHmnzfmbV26+zb/FKGqS0puPFo2nVrYRt4dEQEUNx1iFioiLZ+t0XtE1KJOKBW2F3Dv06pBKTtYeyqDhK4zxbx1qV55MZpu+AUW8opcjavI7S/RvouXQPmT1GsL/HCABsf3xOw18/AcAeFUvxfdPY9Pt8lj7x9P+3d97hURVfA34nu5veE9IoAZIQCL13pIMgoiBYqAL2rih+KvYuFlRUiqg/sYAiSrdQRKV3JCGhkxAgIaTXLfP9sdm4SXY3u5tGue/z7AO5O3Pv3Nl75p45c+Yc9MUltJ46mWZjxpadK3LwQLo/+zT5C18hfPvXGOLXoWvRFX2zdhQPuRNDaFOH2nal7aSq70He3dOTFj36EhRsjG1lKdVFxRxizgbItIaUkkNrVhAzfjzBwUYLSUWFyldfxJ1LHyI0w+gE28yQw00lx5nn0R6AF/z78Tq96TikM2o3d3J8Q8khFG2nXpScTqWTTxAu2mL6zv8eTVEe4fvWsu2RpWXn/2vNSv7avJEl0Xl01hRj8PQje+B43IKaAZLi625HBkVAXqrRkgrs8Q5j8gEfPj7/C/0LTvJTcQpDU2KgSdNK92hycK6Nrd0A+uIi0g/uwaNBKFjZxm6e4sNLLdG+sZ6iXxazYtYCANSenri4uVF8KZNtO7MZEA1uvy22S8Gp7+dY4criqlRwAO6cMpG9K+dZtN6kJO4jtkKOHS99fjlz+P5fV3Nw1Qp8I5tDmxCr17FlHnf19mXnpj+If8foWJmbfJwxjz+LkAZm7vuMHpn7MABf+3Xinw7jGDX2VgD0x0/ROcaY5deSZaM4K4vUjRtI274dl6I8PEND8e/Zl9BevSkaN6tc2VjfriT++D1vvvYyMdFR5CancHTFLxz55ruymRTApfij7HzxA+ADANwaR9I+MJgQoSJ94PUEhP8XWl5VlEfX+dMxuKjQz9kCnj7sjSk/Y1yZvRI/WcI7R0vYmytw0WkZmroGdbgwOvrqtHilnaDMz91goNfu7yh29WSPRzsApF6HriCfkYe+oolXCTneDaBUwTG07Ut6SiKFfg3I9mzOn4NvRZtvHPiajhxI/w/mUFih39pOv5Ml779Hz6J8fLiI6+51sHsdq99aTM/fduIZHm7xd9TpdHBtue3UCn3vmIKXt3el43a/sDLT4cwxaBJXZVFLS1nSoKeoqIixI0cQ06IFZ8+c4YdvvyI0rHSpV0oWFvxJaMYJMvwbMc5vBIasixSL/3yYslyM/m1qt//83Ezjhkkhky4uHLz9TeJWvEbAqX0037iQPc2vB6DHkGE8P+MOVEf3ULLoGeRTi8nLTMHTLLu6JbZ4RTG0yQx+O/4JHTy0dNKmIQONfelQvBwpUedmovN1MvCliwt5qWdI+esPokKDiWxXPh5USuK+SjGiZMMY/tyXCUDcpAlG2XTzY8espzi84GP6NgfNvt9xuXDKromGwWBAq9Xi5uZWLWufoihd/dS7gmPtIcvOzsbX19dph9Cjx6qOd2JrWSQv8xKeDUJxD/wvmrJ5/BdzpcY8A7g53hGNmTLhVt6fMIq3/c7gnfAVX69qTae4Dhw93ozWlxKZFDKWE0UetM0qInfTBooS4nH9/VdEURFpw65nb6AfuSdPoCsswqXU+pK8dg26goIKV3sTjY8PzcffSsSAAXg3boJ3kybcMGQII+OiKDh9ho1zPyb+6yVIvdFi5BURTvS44TTs34MLO/aT+vcu1N4NSN25E5JP0yT5NE0AmRSPYdc//LhkIapJ0wnu1AahK8Ev/RQl70wg79nlBF06Q7i/D+eyjCb6XOFKe30GHxxdzNpsV5q76ml7UYvhxBZy3tuG73uTuS5hO24hHUntNBKvQ4sZ9M8SLvmFs7BXG6RwQV9SQsSRv+nuXwLAsQZxZXmWDX3HcjLzPCWZuRx49jO0+fkEtIomcth1xNw+CpfSMOz/bNmCNjudkSOG4+bvR9MJU/n8s3kEeEKAJ4T6QvKJdNqfO2dRwTmWlMQnH87lvY/nXTUDorPLQPm5zvt+9IyMIO1sitXvbeUwKpPTlJNQVPG5tx8XlZqHH3+Cdu078MFDU3k1LIfdT93GiK820jMygjNn/qTPuV0Uazz4/sbXSdyexAXXygHlyllzpURWyKUkVRrOdxyBzt2H7p9OocXaD5je9jAA7i/8iEoWQstu5L23FS9DAWRW7hdL1qvzGl/ea9AfbV4uJ0PUBJ48Bt27Wb1fS0qe0Jbgf2grmR36gRNW6czEf8k+dRyp17Hxi/nc8OgssOSfVVyA647V0GsE2adOk/TDT7io1XR9+kleeO0tZj7/Mt3ffofckyc5emYNrcIlnp8/Sd6s74y75WzwzntzcdVouPvxWTbLKSjUu4JjjZ+WLeXGMWOcSteQevYsE6fO4NW7hxPkb5zlJCfuplFsR7v8cXpGRrB73AT8/9pIpqsPjRuElikw9prNTYOgf8451rTIxievhCK1By1PxpPStAXLo0eyoySU1su+p0+2cXZjGuZM88WM+fPIsHL+sD59CO8/AB8/T3LPpHB6819cOnSQxM8Xkfj5IqvtEi4uRN88mpgxN9FsxHAyThqdc30aRxB9ywi84oaw9dhpCvbs4vjf/+CycxuqQ/tRHYnnHMD2HRQ/NpNd9y7murnjcd37Gz6zhzHt2AGiNRGM8RhMkVAzxP9m3sn7mweLDjLazxgs8Jx0x3PWdxgCw5GB4Qig54W9sG4vACVqdzb0uQdpEAQXXmJGwrf4NSmCHDg+6G403YeVuxeDTs/RBSsoyc6lyeCB3PjTMtKTtpUr07tfv3KKSZd7p5H4+SIuFukJv/dR/EbewNjQULwaWs6JFd2iRY1FPb0c/EucpbioiA3Lf6BR30FO1c/Py+PdJx5m8E/fO9+Ilh3BoIOCEpvFqvKPG+CZx/CYTDzRcT4rnt9/+53eI24mIiIcDsP6AY9wKaARyESL9d2KCmm4YR2R/+5FpKZwRKslJTKS0F69KOk3CK9efRAaDRdb9eVE/ztpvvkLIvavBSD79L/QJKrSclxVmHxiDpf+m3fsJK2c2PQgXd3Ia94G3yN7oGHlhJ9VERTXHo23L906d8IrIJDOZm0oU1K1JXgteAy3P75Cl3AXu/cWIPV6Yu+4Dd8mjXn1pdnkq4zpVrq/9Tab+vxKs2Ad7jtW4bHkBQqnvGb1+l76fEaPGsnZ1HPl5PpKlSuF2qXWFJw3Xn6JV5+dWe5YxYfQ1oz4zrvudvrae3buJD39Im99uZ6X7x+Nu6vj3vkuKhVt+g8pt128IjYd8aSkf8pW+mx6FE1hLmnqYJZuvERx8SLcVqwhzj+IwCPGAHp5Xj54NmhAw2aRBLRsxb6gcHBzIywpnsahwfjFtEDt7Y1Bq0Wbm0tYn774x8aW67+OKi8yDx/m+NLvyDqSSN6ZM+QlnwGDAa+wULzCQvGPiqLxiO5EDxtfrqkhsb3KzaB7RUeyTaNB1yACbh6HOJtMrLcH4Uf2sf3VN0l/7x3cmkeT+/zP+Lx2C5r4rWgArauK4lL1TCtUPOpzHYbxM3H9azm6vFxONu/N9KBowlRqdI8v5K+hM9H/8Q1xRzcRoc3h2/5PktywLZ2BActm0eOCURk1CBdO9SuvZJTk5JAwZwlZh47j6uvNoHlzrVr7zNft/Zo15cat21G5u+FrZ46prt2721XOGrOffopX3qzf7McH9+8n+cxpxo8c7FR9N3d3bpw63enr/7j0ezLT0/j40/l09jROODrZUa+clVWjATSVFBzTElFVTrVe2gI8P3sYt/ULEUj0vUajGvog3X2Nge5ON+rA/3WdSYtjubh9dCePpiQTH9GUUw3Cic1K54LGnUJXN/omHsBNa9YGIcg7dYq8U6fg229xCwxENGpCyfFjpA4dTsB72zmzZwsGlYamDSynhSjMuMTJX77iyE+/0HDIUNo+9jjSYCi7t4rL4F2jm5UtY1uKkGzNqgxQFBaJe1oy/LuL7C5tLVtgKpzLdH3hosKvaTTepcEBK+J1MZWwlZ+iuXQO6aIiI6wD8UsexEWtpsvMyklrfaOiiJjxKMsXzWFwK0FqUQMaFhSg9qwcyNEkwy1jW9AytoXNNtviSHw8e3bt5O6J45w+h8KVQa0pOI/MfBKon4Bq+/ftAeDE2YukXMgkurHRh8aS9caakmUaOOzdgmpOGx8Vb6X+wLD8JABOEcIvv6WhlS5oIhqiTT1L4Plz6NzcSBk0kl+axHL3DUO4fqBxRidPp7L3+CnCbrmFLg7sLgpo3ZouL79a6bj5PdpaCqiIqQ869usLQNcbB2HwDmDnrKfIfONlisbtx/DeNrw+e5hLBUV8FXEzcm9CuXNEdenD3oBG7Dl6kruGDyBz5Uq2LpxPn5dmU9ymO3s7jkV3yxN4NAwh9f9m45Kaj6FrD95rfxeHA1pw25nfORw7gI4duiClROr15KUks+Hm0WQdPo7G14t+H76Id4QD/dSqld1la4L6Vm4AWrdtS2yrVoBxp15dW5N+XGq03Pyw/Gf8OhYT3aaLw+dweueilIwtOcZHW/6He3E2UqWmaPQjbNmfzaG+wxAuLrS6/wFyvQJw/WY5GWdOlkVAbZ1ygtYpRofjaLNTZraIw/O2CRhat6Vjyxa0LM7j/KrlHPnxZ7ISEuDSJQCyV/zIBgy4vfgaLq5uRHr7l+02KryYwYFP53P4q68ouHCx7Nzn/vyT0ytXkpUQj/TwRDX1bjBLTRFQlMWYE+todNqV1KiPy92qNYWnHEJQ3KAhXkl7Ofb6g7Rd8AvB4bblp0+jQAopr+xU3MLvejqBuF+/QK0tRtckjvx75vLHw8+BlLS/7x4CYqIrnxjo/PwLbM3I4Osvv4DtT+My63kaDRvO4KXLbN+Hk7SMi6NlXBxcwRZVBfuoNQXH09Oz0rbBuhpU777/QeKim+Kdm0TTCMtLXFW1JTM9nXPHkgiP/m+mYE8skK7RzWi5+0eG5SeRr/ZgMy1JWLcPFy9vmi7+GveWrTj03hzQatnTqiM6bx8623FPjvZddfvatBRX8Z7j7n+AE8uWcXHPblYP7E94/wG0e+IjdsYnETXrSUbqBYcaR3MmOIzQwP92WAm9jowvFpHwtjHx5JrbJhIy61lo1Y6CfRmsnfYertuMy0vaydPpOO4O0mKj+RCj1SA0Pp5NkyeSnZiIys0NXUEBHhHBxD05kaA2sWXXqWiNqm0c6eP6HExVKhUqlQr0ujq/tpc+n2dffInjOQUE6UtIXfZQpTKWnFPNOXkkHn2J7aUpWzxQeJBAbTba2B4U3fE8y++dxcWDhxAuLhj0eg5/OBc3wA3QNGxE2Euv8dOZC+QuX4ZvYT4ZTaMIyLqEb24W2iEjiB4xAgP/jQmBMW1o3KoZcf/3Apnx8RSmXeBwahrnH3+IUyt+wu3IERrOmQulE5aMf5P4+dGJFGcZfWTUnp6Edu5E4wHXsef9D0nfadw2Tm4urm+/QvcpM9CNu8PYn/mXGLFpIwjBxdyLlWS0LI5VhSCl5j45vip4OjSHu4LyWbdrNaphE+m98xs8pYYCUd7iLQx6HvxyIkvGzOFcaCzBhRlM/+5tvFw1bH3sBwxqV9zWfIb/F8/hoi2hoG0fil5YS/KGjZzbvgOP4GC6zipvzTfHRaOh97xPCO7UicTFi8k44Pz29oooCsy1zWXhg1PTW/9Cw8KYPOF29q6c51A9kzncS5/PP+vX8Pdv6xn73KsOBxJb4teJCF0OaTk++K9bj9C40mjefDzaGbeamgaq9ljfzhmCjpVffk7Lhx4gINDJHQ81iCnOhYtKRe95n7Bu+FAyDx8m8/BhTi//gcLCIoKys+kL9D2yn3P+QcS370bJ6YFoPpxDr782kVZo3NfUePj1JK9fx4XXX8YDOF16DVVgELrMS2j+9zlotegmTAXA5cBeVt32Iro8Y3AQXUEBjfr1oeHEvqi9Km9Fv9K2cF/u1ETU6h69eiNPp9IzMoLFFhQcsLx13ETi/n38u/RbaNUFPGwH7oQKEciF4LmGN3K7Vz43P/k2v44YxsWDh/CLas6IJV9i0GrZ/+l84k+eRQYFE/PsbNQBgRTnbuJA/+Fl5/vn6AnITKdrjG0LYEBcHAFxcUQAGXGxbJxwO7kJ8Zy4aQRu06YT3LwJ2199DW1uPo369aHFpBuIGz8dUZoMNerGGziy9g+aXD+Crb+s4sKrL6JesQzdjWPBzY18r0CON+1Gi5Pbidi9klMDptlsj6UQF37RsUw5+StqCWlFekb+7zHCDv3OmwE9eVjdhXvz96HJbAlAeFoS7iX53LLmRf7sMZVHdn2Ob95Fzna6AYPGjZ5NwlEv+wsXbQkXWnSm5NaZeGlcOTzvIwA6PfIgbn6+NtsohKDljLtoOeMuii9dojg7y2Z5BQV7qPNcVHW5E+WZhRstHk8ujXprqy17/tyEj7cXp/Ybl7tMO6hMdSpuzTT3x/HKz2X3oQL8161HCkHEO+/h1b2nQ2139/TEU1+Mm7vltAsVqY1+PRH/L0cPHij722QZCWrXjnHxRxi2ajVhffqQf/4Chuxs9F17sKd9d3LdPQjPymDQn+s4Pnwg6t/WIgoLcY2Kpu/CRQz5aQVDFn5KeP/+SI0G1+ZRtL/vbpqv/pVGH3yMdHFB893/cPl7MyL1LB5vvYwuL49mt4xjwtlzjE86yk2rf7ao3NQUV9PMT4X9kYOdxd7nb+yI4eReOs+ZhN0OWdq6tDAub/ilJzvVvuOuwfzaqC+bpkwm/cBB/KKaM2btLxg02eBZwNAFn9Lmi6/R3vcI6gDjhKKijHduHgm5lVO2mPsJVeyHoA4dGL1tB659+yG1WhLmf8Zfs55Bm5tP81EjufHnH2nQsXWZcgMQGNuC9jOfJKB1awLumIR723aInBz061ezZ/UKigvyOdjK6HDfeMcPqAst54i75dga/jr5CV+cXUr3AuM0IjTAj9AAP+7I2Y+n1HE+qju6LkM5PuQ+DMKFezO3MT93A8P//JheH9xCl8ZhXAiO4mxoLP65Fxj9+1tG5Sa0JQljZhsvJAQF987l4sRnSGo/lJNrN3F24wZSN2xA7elJ3JRJDv1WboGBdvvHKSjYwm4LjhDiL+BJKeX2WmxPjfPMwo3c18/27MESr7/xOsklksCQUA6eOQvYiNZphu/xRO5cMg+1Xo9BCA6370jcsBF2X9c0QAaHRzC71J/GUeXFS5/PqjXr+PDjT5l4x61MmTTBobr5Ki+yMjNZ9PJset8wmpv7V84T4+bvT8NBg4nq3YV9H86jWKr4p1Nvtvz2J3/3HEjM8QR6H/sXv5PH0HftgXbavUybcltZ/Za3jafxhDuZt3ErcVFN6dfIjz9SsvEdej26O+9B8/mnuL35MtLDA0NhIU1uGEX/L79CuLjgFhCAuEq2bFeHK00mTYrAFn0/RpJktZyl5dWOXboQ0qEbIR27k3QgwUpNI5Ysrg3SzxP711rOHtxLiUZDzzmzKMg9ZbWdpp2S5n4/LioVXQcNLStnzbJVsf2uvr5ct2AhU/v3o7NWS8OQQPoM70fv2a+h0ljeAGE6R6+mDcmZOJXUWY8jflpKcnQ0MU0jSWrZkxKvAHxTExk0uyfFfg3YPHtTWf3eARr6Hv0FjdTTXHuJRtpshkfOQC9caF6SwfSsXQCcGXIPjZpH0SoyghP/3kv0b58wvSgegMQRj2NwdUevduXHES8ydt0rFLt6cKxpD/a0HUV73wZl15O+waT5RHLg6WcoOpcBzAWg5e3jcQ+o2uJWH1xNkxgFy1Sp4AghhgE3A31qsyE1/bANH/VfFNtPt+SUU3Iax1bt4NipS1eKSwc5R0z0uU2aU+DhxXlPL3ZoVOTk5TBGp0Ottt3V9lzDfOCsSukZef0wtm7bwcD+lRMb2nOdX7dtY8DgwQR4uuPt7WO1rEqjocsTj5Kv8uKfjVvLXgiJLoK0Jk1ZsPR7NqRZj59i6b7bPjGTQ5mXUK9egSgsRNOsOf0WfV42y3XWWnW1DGjVkcn6igTrpc8vJ5OO1m3UuDHh3ftZ/N5WPKvQAD8Gbl5L+8PGUAQ6YIWvL2LXISY2rlzPPGifyVnXtGPJpDSZdi9VbKMtGkdG0uvWW9EX5TPutsH4+XqjcnW1WceEz/DrUb39Ol4ZFxlQkE9Osyj6jx7DrrsX0e33uWj+3YI6/TSq4nz0bsZnPO7Hl9BIPbtC2rPOEIymSUu6hDSly85veebSZgDSAyNJb9kPaTAgDQaShj9M/p8raF98jl/7PUDX8Q9xtnQMzPEN5cAzq9l5JImCrCx81eXbnrlpPX9MfYKSnDzcgwIoyshEqNW0v9fybtgrOWSCwpWDPUtUfTAqQnm10YDL5SE3N5dXx0lVajQcfvZ1Lsx6icBbJtGsQ2eSj1mfrXaOaVbJFF7dbMdgzBD8xqsv0rix5fguJkw+DxV9H8YMu47nX3mNhx57vNz2a1sDedmgn3YW/t1J5tF4Fi9aUKXyVvF+hRC0e+0Nshd/z8rmUWjt2I7uAAAeyklEQVSfeR5XX8etcABfLlpI8pkzTj9nJ44d4/slXztVtxapVZmsSUzPS0V/uDXpLcq+ry2ncNOycWp4Y4rc3DnTqQdHbxxN47692bR1HxmZlZebzOkU1bScbDoUMdgCTz37HLNmPo6XnUurpr7rHdOM4OdfBl8/wgoLafnHrxiKi8lq1pHc134j8/NjZC4+QbfoKHpGRtD/wHLC/v0DgC9ajmdvtzvYEdYJhKDfhb0UoOLPiO4su+EVdFmZXLj1Jn7u0Q1tTi5jGk/mush72dnRsjKqKy5m24/flcm0oaiIA3Pe4ZfRt1CSk0dAxxaM+OkzJu7dwY1/byWwZWy5+qnnzjPn/Q8xGAxO9iJs37GLhCOWYxQpKJhTpQVHSjkbQAhhM4CGEOJu4G6ARo0b2zynPdr7h+/O4Y7JUwhu0MBmudrE9OKtGNjPNLszn8ntOXqyXB4YAQwcYkwH0czKLoeKmCsP5g7PVxLa/Dzc43dTotYg9Tq69TAqTvZYqCoGUezQMob2S3/C04IFyd6X4ugxY8vybzmCqd+bh/jxV5GlDGD1hz0yaS6PVSm59lBSXMzyBZ9w+0OVY5nYgzV/OEdwJGSDedmk6DiORrXkrlHDeHFgL/Ljf7dYx1oQT1tKjiOTER8fX7w8VaTlnLC7jonAocPx692H9DsnkHnoEDlrVnL9Y48AIIPL/76qUj+lva1HkOodBkBxThYZh/czJa0xbac+CBpXOnuHwsP3U/ivMR5X0cP30+62Gew8lcyQE8fZunIpJ//6m9inn8OrmzEWVK/2bVG73gdA4eFDpD10HwXnjH0WO+lmgoa2R+PlSUBMNK4qr0pL+hHhYdx84w1OR6gHcHNzJSw01On6CtcONeZkLKVcIKXsIqXsEhTcgD9+XV/2Xb7Kq+xjLw89/kSNKjefbqlemPmekRE2lQ1rs7uK+aRM/+8U1dTqS99gMLBrxw5efOb/SEw6Wun76ig9juwwMr+Ovdfs0aEtbWc8yt3zFnPPZ/9j8i03ONxGEx5eXhaVG0cICAzE28f5c3h5eTJlxgzH65n11+IF852+vrOYy2NgcAipZ88SX/oic1QWAVzd3JxWbqxhHpfK5PhfHUwOtBXlyqBSoVfbVnKtKcymc3WKakrepQzST5+0eznZnmP20jMygj5xLWj7yKMAXPpqMVJajjNWMO0tsuYdYO3Ax8rGpaPLv+bs3xtw9Qs0KjcxzdAsnk/hnl14hkfgGR5B4Z5dRP24hIapZ3B//D6OLJhPccJhUp98FH3Of+Nnt1YtKDlzmuR7plFwLpWg9h248adldHhkWjlnaWtERTWvloLTsUN7Aqrh13P61Ek2/Par0/UVrhxqbReVtVmzvYNrdQRg7IjhTtetCnstB46as82VoIvp6Sz69BP27dmDpoLvTl1adI4fP8GFo/86fE3ze7f3dzT1q6UZcU0s2dUnAwYPqbpQLePi4mKMg1MPWJOZmrDqVEXFaOP2PMte+ny89PnlJiNSSvKSDnNs13/+3JaeS0v3mpeby5nDezkcn8CBg/9SUFhkd/vN26vX6znq6YlbSAjFSYmcXrnSciUhMDSKpUNkY0TaeTrHNEOlN+6k05cYrZEuB/aiXvUTQq1m0NJlDF72A8LNjbAdfzF2zfeg09Fs3Djc27VHl3aBC2++UnZ6Q1ERyfdMQ5+RQcPBg7nhzy1EDnEuhYe91OS4FxIaRlybNjV2PoXLl1pTcK4bWLsPvDM4MqBWJVC2ZnGdY5qh1+m4lHq23HFLA6IlS05IaCifffElTz7zLA0bOZ4vpqCggO+W/sCDjzzBJ/Ot56WyRUrKWe6YMp2t23dSWFgxL3dlTC8E83sxd9i0Vcce6lKxq4lrmSvxzZrX/5bXsPDw0kjGjuFsX9j7u1Y1YfDS56PT6XAvMVoQHJk4VCxr0OvJyrLtd2Ot3UIIRkyYzH1PzrJZzhI+FPHYzKcZdfN4xt8xiRXrt9hd15yvPl/Eh3Pn0mTyFAA2T5nEieU/WiyrLy7m1KRbcZs+AZe/NyOLChnYuh23P/08nRuGopn7DgAd/+8ZGnTpQnDnzkS8bjymKinBs0s3rvv8C0b+72uEmxvZK5aT989fAGQs+JSSUydxjYph4Dff2e0sXVvYM2E2L+Ph4UF4hOPjqsKVR53Hwalvnlm4keTE3VXu6Nj05xZOn3IiLHwpqYkJbP5qAUWlWb8dHfCFEAzr0wU3JwYPDw8PtFotf2zYRLcu9sRJLo9Op+Ptdz/ARbgwf9FitKXZku1d3tLrdCSt+5mNPy+nuNg4YzQt8dljujfvK++sdKum+JrmSvN3uhqYPPNdtq1cCNiegIwcfQu/L/iYk/t2lTtuKYgdlJ+AmKw4x3fv4KVX33CofabladMz6WJhCaaq58bT05NPPnwPL09Pbh59IyMGOhYTy0ufz9kjB/j4/fdJST7D96lnibvvfgwlJWyePIlTP68AQJuby9/33cumKZP4+/57KTp4ACElrh+8zZ05ubT/fT0e8z9CvewbXNIu4B7XhnYznyy7ju+IGyi5/xEy2nQg4t25+Ihi/Fq0IPiBhwHIfvMVCvfv4+KizwAYPP8zND4+Vu9fkScjdTR8KVig1iMZXy67pMwx+eMMHzWW9auWWyxz+HACX333Ix8vWIS3ocDm+cxfyCbnYb/QMGZ/9BluHrUXjM4aQggmT7yDjh3a09CBHE0m1Go1H75vnM1JKR1aLszNzmLzZx9w9KAx3LrbuQRmvvmJXXXNnc97RkaQnZXF7Xc+ygOPPmoxSWRV2eFLiotZs2olbdq1I6ZFrNVytigsLOR8bg5h4eEO11W2whqZPPNdm9+b+8dZyrKtVqsZ0L8fXy9djoevL+C4T1XX6GZER0UyyLcHULVF0hbOLJk2b96Mue+/w6lTp3HVOD7sBgT488e6X8AnGG9vbzSurrj6+7P/jdfZPHUKbR7eS/Kv68k8dOi/Smo1np26ULBzO5oi47KY+o9fkS7GpcqwF17BxcyVoGdkBHtHjMZzxGg0If858QZNmU72LyvIOXaMnNuNE8OYSZMJ61U5PlZVJCensOXvrdw6bgw4uWJ64OC/hIQE49swyrkT1DHuLlqSz57D38OBcbRYoq6nXI5XE3ZbcKSUTesioJhp8Fj9y89kZ9s2J1uipmYNd9w2ntffebfcy72iOb2iA7HpGIBvcAOryk1d+ZS0bdOawMCAap3DUV+oXZs2UFJchIuLCj9/f24ZOcDpa2dcvMhd99/P0OvtD5RojqubG9JgICDA/lQXFZ8frVbLptUrLsvZaG3KZMVnXVtSzF9rrPh81CDWlKFbx42lcZt2dL3xFotWG5NMVfS5MUe4uNCls/V8VxV/Y0uWxerI7sD+/Zg2dRJenh4OpxNpEBxM48aNCAwKwtXNDSEEHZ+bTbt7ZmAoKeHgnHfIPHQI35gY2jzyKN6RkYTNfonGny7CZ+SNHAoKZpu3N2DMLeV301gGjrre6vXM77NXTFMGffIJQq1G7elJzMRJdHvLcgJZW/nEAAxSkpWVZdESZglLVl8hBC6ieosPdSnPcaGC+DTH6iSkQasQ5/1QFYzUmgUn89IlvPzcnK7fKq41nk5YPxwNJmbNihMYGOD07NvcPG7PgFhxh9aVPPN/9pGH2HbTWIoKCojxdiMg94jT52oeHU3z6Gibg1FVA+qY8bc6fX0AX19fZkybUq1zJCYkOOX/UpNoS0ooLi52ekeZWuNK05bW76E2n9e0xK00je3FE6+8YTNTtkm5Md/u7cjW8rqionLj6M5GU18LIej39hsE9OhDdlISKnd3Ws64C7eAALq98SZgDHGRftMY/ti3G+Gqoa2PL35aLQ0ee9Li+a2FsAjv249bjySh8fVFU6ooOUNkk8Y8cJ/l4H/20q5ta+N/nBwn8/PyuHTxLIFNnbPqOsqqBBncyI+LvSLtV1gS0iSns7iyd1dcBtSagvPFogXMfsJyUj17iIqJqcHWVE1IbC8svUZrerunCUsxN+oyC7YlaipJpblSlx9/xKbCVhN9WZfJNZ2JBLxrx/Z6V3CSEo9wNiXFaWuYEILxA6+zGCfmasb8t74cJx3CxYWoW2+zWebgtn/oPngYo4cPw7VJc3x8/egVHenwtTydWO6+HMnMzCTl6DF61JGCI6XMiA4WZBZKAuxYpsopkggBUspzddC8q5paU3Aef+rpKvM2WeNK2BZsLSiYJay94K+E+6yKmg79X7GvLselIXvu2fz7iVPvrO0mVUm3uCiIiyqTSUdf1nX5rA4fNZbla9dXXdAGpvbasvhciTjzu8mZT9OrqXHXkPmY5WXlWXAkNY0lOajLCYcz1u5GjRtXGYy2pmkdIoi/AL2bVl02IV1ZnqoprrldVPZy4uQpLpw/b1dZR7Y720txegpffLWEixkZDtetzZmms+e+nBQVa20x3Zs9sZrszQl2reNs/ilzdHo9d0yaxlsP30f8Fsdj55i2izvy4rZEQX4+GRkXbZax9HKvb8uPSbkBxxXVqvySrmTq8l5WJsjAI+n2OQ0npEnWJUrHdzUoVOKqUHCqq1xYGoRLSkrYs2tntc7rbLsuZmQwceoMvv1+GZcuZVarDdVBSlm2Rbymqc9Bv66uXd8vNhMq9NWqX9+WRrVKxfQ7J5N96SJBjZqU+65rdLNyLyprcXLMjztrYfhi4QI+nWvMkl0fL3opJclnzpCVmVmtNtj6PavzW9vbr85E0rZ1risBKWWmhwYuFdhWcnKKJC7G5Sn7ZtcKNqlTBac2B4WaHoRbxrZgxKgbAaMCZEkJqnhN87+Li4rY8Nuv6PVVv1wq9ktwUBArfvyOqZMn0iA42Jnmc/pMMgsWfcHvfzgXLTYnJ4d77n+YT+cvsjsOTU3N9uypV10zeG227Wqa5VaH6vRDxWjkAwdcx2uvv4l/WDj3Xj+QvqmHKu2mciQIYEhsr7KPvdz/yKM8Putph+9Lp9MxceoMOnbrTafufVj4+ZcO1QfYf+AgPfoO5Obrh7FmleXdbNbiTNU0yvPtHK3t2E0VnwZxyvJUjXFVWHBMVCdFw/BRYy0OEOaKjaWYK5aEPTcrk0+eepQVP/wAuell5Rx5cbu5ujLh9vFO5VwpKirivbkf8eY77+Ht5I6HDRv/5FJmJolJR9HpdA7VTU9L48Vnn+HZ519Gq3Wsrgl7+svRF5Q9mM8Ir5TZoTPU1kuqJica5m0UQtCrb18ev2EIG+e8DECLw3+z+J4JNuuZcyLhMN8t/cHp9ngbCvD0Kv9M2NOParWaV196Hr1Oz6AB19G2TWuHr92hfTtefuE5/PwDaNe+g8UytpZNz587x66N68smK7baXRdWnGuRX+JlQFXLVAlpkrWJUskkWkPUeqC/KxVLFptnFm7kf3Nsb0sGGNq+Ne3nL+BoYiI+FRQMR5zinHXgdXd354M5bzF44AD8/Hwdrg9w802juPmmURgMBrtjVkgp+WrRIuZ9+AGFpRGcvVwKeaZNP6faAPDhx58yZdId+Pn5OexQKKXk5PHjePv4EOJk9mEpJckpKTSpY6fEK5maUnLMQzhY8+UZO2I461ctt8t62LxVawY3qvwCrouXctPIJrz+6ov8vmEjMTHOBagbNmQQbbr3xT/AsdhWiQkJ3D9jOmkXztMkMpIvvv2eZsHOTXy0Wi0vvvI6z7xmOQ5OVRxJTGJPwnFuGH0TarV9r5+KMp+elkaIh0D62J+M2dLYUdcTGCllVosGgowCSZBnZStNdpFErQIppYNRcxSsUecKjjXP/Yrs3rmT1m3b4lGHkYCr4xBpEiDT4B4aFkZoWBiinsy5QghGjbQeyMte7FVuAArU3tw8fjx6g55vvvoSN42a6wf0sKuutZfM7beOw8/vv6UIexW+fJUXBXl5fPT+u9x9/4NOKzi5ubls+WsrE+/4L56OrTZcSeZ7e2URjMssu3fugIaOJZGtLo7IZEUn4vr2HarIDSOGc0M1EwE7qtwkHD7MtAm3k5eXB0CXbt3x9/cHnLOsajQaXnv5BYshNezhbOo51qz8hSHDhqO2w7ps6dk8dOAAkU2bEuWAgnO5YNpN1deCGCnLUzXPZWvBKSosxGCH/0pdM3nmu6xfVTszPvOX/L+H41m2ch0TptxJbIT9kXjrG19fX6bdfQ+Tpt6JzElHmxZfrfM1aOCcDxKAl7c378/7tPJxB5QQX1/fcsqNM+h0Ortnq7WNJaugvZax/Px8PB24Vk3soKpJekZGOB26AiA+4Qhp+Tr6d3EsE3VtKr1V/W6tWrdm/eYtHD50iKSDexg3ZQaubm6gd07BMeHsPQ0acB1d+g+tljwMHDLE5vdVhZqQUmIwGFCpnMwVUQ1+jpf+Eb5k9W1WWZE5kiZJziakzht1FVNrPjizn34KsC0ItoSzz3XX4VWNiJlXMnq9nu07d7Fz+3bcPdwdrl9TA6qUkrw85xyHNa6uBAT4O2X+N+2yqG8fGHvv1eQvZK38qy88X5PNchg9Knbv2ceyH41JGS31a1X3qlarGTRkaK20r7pUVKRqK2BmTk4uZ06dKvvbEWtidcm4dIlvfl7Ho/ffy7Jvv3Gorp+/P7369uWBe++6LMZUW8pNTY1dts6TdOQIP3z3bY1cx1GklNnernAxv7wvTlahRGNcnkqvl4ZdpdSagvPKm9bXaGvjxVUdB2NHqWpmKqVk1/btzJ3zDiUltrdZWxJElUrF7TPuZ8kPywkOdtwMK6Vk/4GDPPfCK6x2MmBacnIK426fxFdLnBsIpJScSU52qm5tYa+jd03vRnnxtddr7FzO0qVzR8bfcrPd5a80Z1F7rEUF+fmkpdl+f9j63Xt078rYW52z5u3YuYve/YfQu/8Q/tiwyaG6hYWFPPn0c8ye9RT79uwhLCLCYcd/gAsX6t+1ozYnLSa5tTY5Mv22sa1acdvESbXWjqqwtJtKWZ6qHep0F1V9z8hrkrEjhjN2xPCyLeTmA2xOTg6rfl7B8WPHqnV+Dw8PvPT5VrepW0MIQXr6RTZu2kxoiHMWz0aNGvL0k0/QLLJJ1YXN0Gq1rF21kgm3jKH/4BFlVgN7qfiMVLQgVYer6flTqMyc+6Yx575pTJ75LsNHjS036ekZGcHZsykcOuzckmlFq5Cjy2/du3VlxPChxLaIoX27tg7V9fDwYNFnH/P4rKcpKS4m/UKaQ0s8hw4c4KG776Jnv0Es+GRepdhWjirzuaX+PNWlLsJKXI4+cSsOS7+kCrupjqRLVh+Rzq/HK1hE2BvjxBE6dOosN/5jHBDqKnFkXVpwqsIUZl5bUoK/qrIFx9b6sD0Dp6XkoObnNZ0zLy8fd3e3GvP/MO1qsdb+fJUXR5MSeenZZzmwby8Ad02byv/NesJiOyvWr/gdwHeLPuH6YUNpGOFYYM98lRc6nY7NG/6gRWxLmjRtWuma9uTHKigoYOu2HQweVDkrelXRjK2dP8jTfY+UsotdN1IDmMsj/CeT1vredDwtcasxR5vZfWw7nWqX8+7lJI/wn0w688JzViYrPuc6nY6jx47TMrYFQjg+W89XeZF24QINQkIQQpRNfszTWlR8tk+dPMFjD9zPsaQkwLjDcs2GTZV2UdmyeJh/p9Vq+WzOmzz91OMOtx9gT+Jp/v5zM5OnTSdAbdkKVdX7Yv/ePYSEhhHRsGFZO82fZ0fGFxN1LZMtQ4Qc2FzQwNuYo2rtEcmxDKmYcGqYWvd8dFa5+earL7n+hlEEBgVZLWN6sC+3wdTUHmuKiLnQOeOIaW8da9evzjWsHTddK6ZFLF8v+4Ff165l9fKl1XbQnXGn45m8zZ+5Cxcu0Lpt20rf2/uiU6lU5XZxVTz/lYgz7S8qKmLJF4uZcd/9tdCi2qcqmTTncpVJa+OctePL166nabPm/LhqDZtX/8SSb5fy5OwXjTsKnbRsaDQap5UbABeVC3l5ebioVFjayWXPs+np5YWbu5vFuuZyfTlab0y0DjEuU13nXbo8FaroNrWBXRYcIcQw4GMgAlgDTJdS5lor36FTZ/nFN98Q1zjE6ZfBxfR0AoOCbG5TNj3Al9tuDQUjVVmawL4ZlqMDla1nriplePna9VVez948VKZyJ44do3l0dNnx6s4WnZHHVb/+RmFhIcEN/vPpctSCk56WRgM7lzwvt0mHghGTBbYqubOVRb06ioMl2bc1ftuTdNV8laDi/y1du6CggJKMVBpGhJcdq2sLjhDCJ9yHnLu6ufD5LgNncwiSUl6qq+tfK1RpwRFCBADfAdOAP4EFwCvAo7bq/b5+PZH33ud0w8wHYlsoys3li6XfpqoZbH2/GB29vj0z8i2bN5VTcKqDs/KYkpLMhfPn6de//FKbIxMQRbm58nFUJut7fK0NeUxPu8DZxASHl71rEillbqsQQWK6xEMDinJTO1RpwRFCTAEmSSkHl/7dGVgjpQyzVqfimr+9VHyYrWnvprVnBYXLAXssVeZUZ7ZYXXm0xyfO1sza1oxaUWwULhdsyaQl61RdW3AAbmnrIn9NkgyMEvwSb1DWqGoBexScdwGDlPLJ0r/dgCLAR0pp0Z3eNKBaG0yVgVDhasV8YLVmNnf3CaqOguO0PJqub46pXYpMKlytVGXVyVd51YuCI4Tw9nUjN6eYQCllZl1e+1rBHidjX+C06Q8pZbEQQld6vGxAFULcDdxd+mdekKd7Yk02tAqCgYt1eL0rDaV/bFNj/ePuY90p3ozIalxCkcerA6WPbHMlyaRTlE5IFMtNLWKPgpMFlCWEEkK4ltYrp3FKKRdg9Aeoc4QQu+ta+76SUPrHNldY/yjyeBWg9JFtlP5RqAnsCfR3BDBPvtIKOCqlLKydJikoKNhAkUcFBQUFO7BHwfkZ6CuE6Fu6g+N1oH4SeSgoKCjyqKCgoGAHVSo4UsoMYArwPyAZSAPeqOV2OUq9mOKvIJT+sc0V0z+KPF41KH1kG6V/FKpNraRqUFBQUFBQUFCoT+o02aaCgoKCgoKCQl2gKDgKCgoKCgoKVx2XjYIjhJgihDglhMgTQvwphIgVQjQQQvwshMgWQqQLIeYKIVSl5ZsJIf4WQhQKIXYIIVqVHvcSQvwmhEgTQtxeemyqEMIghNBV+Bypz3t2BCHEg0KIc0KIHCHEaiFEuDDyXmn/pAoh7jUrf031D1jtI08hxJelx86XPkOa0vLXXB85giKTtlFk0jaKPCrUN5eFgiOEiAHmAfcBDYD1wPfAyxjjfoQBHYBBwITSav/DmIsnFPgRY34egInAN0ALYKrZZX6TUqorfFrW5n3VFEKINsBLwE0YEyzmAm9jzEc0GIgDhgGvCiE6lla7ZvoHbPbR00BLjH3UAegGmFJiX1N95AiKTNpGkUnbKPKocDlwWSg4wEBgk5RyXWk8jzlAe0CHsY0uGCM+qoBLQogmQEfgZSllDvAu0FQI0dKsnD1BDK8U+gGrpZQ7SqNffgO0xij4b0spz0opD2EcEG69BvsHrPfREOAdKWWKlPI88Dkw6BrtI0dQZNI2ikzaRpFHhXrnclFwfgYeMvu7M1CAcbY4AGMI+mTgLLAG40CbIKUsBpBSGjAGQIsGlmCcUcYDi+qo/bXNQuAuACFEEMb72wq0A/aZlTuMsQ+utf4B6300A/jNrFwXIJVrs48cQZFJ2ygyaRtFHhXqnctCwZFSXpBSngIQQowFVmE0Zb4H7AD8MZo1IzGaM32B7AqnyQV8pZR5UspBUsoQKeUPZt8PEUIUVfjMrN07qxmklFopZYkQ4i6M+VluwrhcULEfckuPXVP9A9b7SEp5WEqZW7qO/xEwBniLa7CPHEGRSdsoMmkbRR4VLgcuG5OfECIYo7myMzBdSrlSCPEG0FNKmQ1klwrEMGA+Zvl4SvGkQj6eCvwupbyiUyZLKRcKIZZgnBn9jHEWbd4Ppj7I4hrsH6jcR0KIcKAv8CVwCOgkpUwRQsRxjfaRvSgyWTWKTNpGkUeF+uSysOAIIbyAv4EMoKWUcmXpVwUVimqBfCARaCWEcCmt7wLEAgfrpsV1ixDiWSHERIBSf4hPgUAghfJ5ieKAA1xj/QM2+2gMsBx4Uko5UkqZUlrlmusjR1Bk0jaKTNpGkUeFy4HLQsHBuL56Tko5rdQhzcQq4AUhhL8QIhLjjo7lUspjQBLwuBDCA5gN/CulPFvnLa8b0oGnhRDNhRDuwEyMs595wEwhRKAQojvGfvzhGuwfsN5HjwCPSSmXmhe+RvvIERSZtI0ik7ZR5FGh/pFS1vsH+BgwYNyhYf6JBBZjnEUmA/9nVqcFRl+AQmALEGnj/FOtnP9ifd+7nf2jBt4HzmNcp16H0flOhXFAzS3tnzuuxf6poo/yLNzXhmuxjxzsT0UmnXveFJm03T+KPCqfOvsouagUFBQUFBQUrjoulyUqBQUFBQUFBYUaQ1FwFBQUFBQUFK46FAVHQUFBQUFB4apDUXAUFBQUFBQUrjoUBUdBQUFBQUHhqkNRcBQUFBQUFBSuOhQFR0FBQUFBQeGqQ1FwFBQUFBQUFK46/h+dCnxZYnLfpAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.001,0.0011,0.0002)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25\n", + "quiver_shaft_width = .25\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*13\n", + "quiver_head_length = quiver_shaft_width*13\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t_idx in range(times_to_plot.__len__()):\n", + " t = times_to_plot[t_idx]\n", + " ax = fig.add_subplot(nrows,ncols,t_idx+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " qrain_diffs_lat_mean[t,:,:]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=seaborn.diverging_palette(35, 220, as_cmap=True, s=99, l=35, sep=25),\\\n", + " extend='both')\n", + "\n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_lat_mean[t,z_indices,::every_nth_lon],\\\n", + " wa_diffs_lat_mean[t,z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " \n", + " if t_idx==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_lat_mean[t,:]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_lat_mean[t,:]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " #ax.set_ylim(1013.25,700)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " #ax.set_yticks([1000,900,800,700])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('hPa', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t_idx]+') day 1, hour '+'{:02d}'.format(times_to_plot_local[t_idx]), \\\n", + " x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_qrain_pblh_cross_sections_DAY1.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# qcloud" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-07T17:47:56.454149Z", + "start_time": "2018-06-07T17:47:18.668139Z" + } + }, + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-0.05,0.051,0.01)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25\n", + "quiver_shaft_width = .25\n", + "quiver_key_scale = 0.5\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*13\n", + "quiver_head_length = quiver_shaft_width*13\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t_idx in range(times_to_plot.__len__()):\n", + " t = times_to_plot[t_idx]\n", + " ax = fig.add_subplot(nrows,ncols,t_idx+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/10000.,\\\n", + " qcloud_diffs_lat_mean[t,:,:]*1000.,\\\n", + " levels=levels,\\\n", + " cmap=cmocean.cm.balance,\\\n", + " extend='both')\n", + "\n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/10000.,\\\n", + " ua_diffs_lat_mean[t,z_indices,::every_nth_lon],\\\n", + " wa_diffs_lat_mean[t,z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " \n", + " if t_idx==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_lat_mean[t,:]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_lat_mean[t,:]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " #ax.set_ylim(1013.25,700)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " #ax.set_yticks([1000,900,800,700])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('hPa', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t_idx]+') day 1, hour '+'{:02d}'.format(times_to_plot_local[t_idx]), \\\n", + " x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_qcloud_pblh_cross_sections_DAY1.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# cldfra" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-08T02:54:43.993545Z", + "start_time": "2018-06-08T02:54:07.624986Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-7,7.1,1)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25\n", + "quiver_shaft_width = .25\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*13\n", + "quiver_head_length = quiver_shaft_width*13\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t_idx in range(times_to_plot.__len__()):\n", + " t = times_to_plot[t_idx]\n", + " ax = fig.add_subplot(nrows,ncols,t_idx+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/10000.,\\\n", + " cldfra_diffs_lat_mean[t,:,:]*100.,\\\n", + " levels=levels,\\\n", + " cmap=cmocean.cm.balance_r,\\\n", + " extend='both')\n", + "\n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_lat_mean[t,z_indices,::every_nth_lon],\\\n", + " wa_diffs_lat_mean[t,z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " \n", + " if t_idx==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_lat_mean[t,:]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_lat_mean[t,:]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " #ax.set_ylim(1013.25,700)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " #ax.set_yticks([1000,900,800,700])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('hPa', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t_idx]+') day 1, hour '+'{:02d}'.format(times_to_plot_local[t_idx]), \\\n", + " x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('%', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_cldfra_pblh_cross_sections_DAY1.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-08T01:20:53.570413Z", + "start_time": "2018-06-08T01:20:16.441430Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,5]+[i for i in range(7,29,3)]\n", + "quiver_scale = .05\n", + "quiver_shaft_width = .25\n", + "quiver_key_scale = 0.5\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*13\n", + "quiver_head_length = quiver_shaft_width*13\n", + "\n", + "for t_idx in range(times_to_plot.__len__()):\n", + " t = times_to_plot[t_idx]\n", + " ax = fig.add_subplot(nrows,ncols,t_idx+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " cldfra_diffs_lat_mean[t,:,:]*100.,\\\n", + " levels=levels,\\\n", + " cmap=cmocean.cm.balance_r,\\\n", + " extend='both')\n", + "\n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_lat_mean[t,z_indices,::every_nth_lon],\\\n", + " wa_diffs_lat_mean[t,z_indices,::every_nth_lon]*10.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " \n", + " if t_idx==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_lat_mean[t,:]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_lat_mean[t,:]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " #ax.set_ylim(1013.25,700)\n", + " ax.set_ylim(0,20)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('hPa', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t_idx]+') day 1, hour '+'{:02d}'.format(times_to_plot_local[t_idx]), \\\n", + " x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('%', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_cldfra_pblh_cross_sections_DAY1_upto20km.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# cldfra on day 1" + ] + }, + { + "cell_type": "code", + "execution_count": 188, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-18T21:04:24.547138Z", + "start_time": "2018-06-18T21:04:17.255426Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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Zo5Hl04P3L+ncHIXd34BSxPZpiY6jd0TOr9E2uIt45nDEuoN7ulSIJg+kRh9HI0ZilGKW1MjuyHUnJp6NnhMFSA896HTubcd3RZb1coNOeYqSI4/j5aMPdbv045RypIej55NpJqp6k6peUvG5qWLfT1T1Zar6qKqOADcCVwJDQGXI4HZgcKHb2tQ5E/lckWOlk4htPomBvvCH6lzu1Oyqc2dsq36Tmu0Yk2svqaOl4Wi8neyqcyLL5zu2RpYFmFx7UXRhESf5YqqHYqpn7oI1yHafHVkWYHLtxZFlNZYmu+q8yPIu+RcAMmsWfO5TZAr5AkNrfm7atnkNaYjH6KZXToW0ruXVqHXMybWXRH9LdLynwe1vo7HUIt9XFzrJu+hUKbmGXHJNZPlc9xmRZcGtH8dLklm906n+pYCIvArIqeptwaYEUAD2AOcB5SRY5wAPLnR7mmpMFPKFmkYERFvHXu68yitDyhPJZqujcn+5zlpjxYaxUoh8v9eRG2PWWBUuuTUMY+WyFviQiFwL9AF/BnwFuBO4UUR+DJwOvAW4bKEb01RjokyjH9I9vT0zomrWMlqqjYbZDA8L1mMsdzSfbdj9XW3YV1LWxyg6FWb8G8ZKR1X/RUTOBO7AX/XxPeA9wAhwPnAAf8jjfaoaPVV3nTTVmGhkxwV+J1PdcfX2dtHXNxraoUFtI6OyfHUZi9BpGPURZthXUm1UzBfTRcM4gap+EPhgyK53B5+msSieiUZT7ry2bexm/5GRKYOivL0ypkUtI6OSyiGTVmE+80YMo9nUMvJbSccMw6hNSxgT9TwoyyG6Kw2KMtVvStUBs2rtLwfzWeqEveXZEI2xmFSHzK/Uyfka95XUCq5lGMbi0nRjop6JjnO5QOfqTGbL/VFtaIRRfouCpW9QVF6rsKEa63iNqES5d3p7u0L1r2zkl8tUEhYNt9UNfMNYaTTVmJBEKnT7Qke+3LGhfdrvysBZYW9QMN2ggKX5UK5lSJR/W6drzEVlCvKwlU3z8XBV34Nlvdt3dAIIN/LrMe5hpj62KuYxNJYrTY+A2Ux2bGifYUjA9E6tbDzsPzIyzcgod1zlB/JSVP7KNlUbDmZIGPMlsXmHk2Ef5Z6rN4NwtT62Khaa3FiutMSciWqqH6K9vV3sPzJSV8e0Y0P71JtSmdmMiKVOZdyMsDZbx2U0gno9c2X92baxe4ae1aJyCCTsWGWWsmFvGCudljImanUilSs3yoR5JCoJ68D6+kZnPJBboeNqhTYay4+o8R+qdXPf0YkZ+lhpSFTqpN3rhrE0afowhzf6LLHjeyLLp4ZP5Oao7ljmSiKmqtz1+Y/TNfr0jH2VhkTZFVl9fClmSQ07xOIf3++UmyM9eJ9bbo7j0fNbxLLH3HJzjDzmlpvDIY+Ae26OZ5Z1bo7kM7eHtq+nt2fu1RaqJA/cNvWzrEO1dLHakDh+8CkSfQ9M2xZmSNQaHkiNOOZ8cbqvsqSG3HK+OOXmGHzA6b5q7dwc0dtOKUd66KHo8kYoTfdMlLq2RH8gEuR4qAq/W+5w5prIJSJceO1b6Vy7gdEaLtjZ3nzUS5JvP2WeLa44dvtWp9DBmdXPiy4vwqRDHoJiah3F1LrI8q2dmyP63xyWdm6OeCJO1/N/EfG8aR6AMCOicqhjyishQu6UK0lUJMsK8xRCuLdwde9WVp10Mk8PzkxYVc+wRrbrTCedmlwTPbeHn5tjZq6geln03BwO5+6cm6PrdLe/m0N/sFxycyw1FmcCZsQsfb7s9Btwvm7PzrUbZmwreyXmPJYIpcTcM89nk3diseWNZYl4vj6WDYjZvBGhkzQDfY4yBOF5MWKJZM399eikE4stv5gsZttb+boZodT9VBeRO0XkhcF3EZGPi8iwiPSJyK8vXBPnJn9oHwN9A/T1jc451GEYy4WF0MkwQ2I+gaVq6eJcc5iqaZUJ0IZh+Mw5zCEi1wCvBS6v2Px24Gr81KZrgR+KyM9U9f4FaWUd5A/tg3lG0zOMVmSp62SjdNEmWxpG61CPZ+JyfKNjrGLbW4GPqeohVX0Y+BLwxgVo37wovxHNReWStbqHOAxj6bBgOhnmEajHS1CtP9XeidmWida7hNQwjKXLnJ6JICsZInJ1xeadQOUbz278t6IFo56HffmNqNyBhblWyx2XDYcYrUojdbKQL8w74Fm9ulg+Sjn+y76jE6HLQisx494wWpOoqzm6geGK36PBthmIyA3ADQCkVi14J1EOYlVNZadVNiTC4koYRosSSSelffoKnbCQ2q46WxlQrtKgqNbJ5RAu2zBWKlGNiSGgreJ3OzAYVlBVbwJuAvC6ejViffOir290zgh8lR1XPZ3lUszNYRgVRNbJsPu6Efd62TtRbdzPppdm3BtGaxJ1jeYeoHLh/jnAg+7NcafcCdYaxqjcPh93qhkSxhJnyerkXKusqr0SpmuG0XpE9Ux8AbhRRH4MnA68BbisYa1yZK63GxveMJYhS1InK70T1flzqg0M00nDaF2iGhOfAc4HDuC7V9+nqk80rFULSHXYbMNYJixpnSxHxayV0Mt00jBam7qHOVR1m6r+NPheVNV3q2qXqm5R1S/WXWF+lFj2WJS2An48eynlZi1TGTin+lN4+OapMvNFChMkRx+P1G6AeOYIXm4osnxqZI9Tbo7kSPS2e7kh4pOHI8snxg8gxUxk+dTI3siyUsw65RWJZY4Sy4VOP6iL5NiTTiHka9EonUyMH3C7r8aeqqto2ATLg7sfpfjsvUA0nUyO7nPKzZEaiZ4nSIpZp/wU/n11PLJ8cvQJp9wcSQed8vKjxCf7IssnJg46/d1c+jJKeaf+wAin6bk51Is7hVItJlahEossP7TuxZFlNd5OrmN7ZPliYrVT23PtW6KHIheh0N4bue5SvBONtc1dsAaFVA/q1Q6bPBf5tuhtVy9BMRU9iFIp0Y06hIAvpHrcQsgvMKV4h9N9VZwjR0N5qKOnt2eGQeGt2cLAZFtkj0SuYytI9G4s37Y5sqx6SfLpTZHlS4lVqENfmG/rBYf+pOCgU6VYG+pw3QvJNWgsHV2+Lfp1R+IUk2ujyxuhNN+YiLXhsqSjlAhd7TaDynXuYfsi4yUii7ooD4DGO5zkS/HO6MJeHHW4XZzb7pQTxXM6d9e/Wymxykl+oXExtIA5jYkyA30DM0JzO8+TcNBHcL2vBI3PL0x4JRpLRa+bRdYpL+6/GEZkcfsDqfs5YtTP0n1dWiBsTNYwmk9Z78rGw0DfgM2TMIxlxIoyJqzTMozFp9IbYTppGMuDpg9zNBPrqAxj6ZA/tK+hkTUNw1g6LGtjwjCMpYUZEIaxPFlRwxyGYRiGYTQeMyYMwzAMw3DCjAnDMAzDMJwwY8IwDMMwDCdWnDHRdnzXYjfBMIyAWPYYibGnF7sZhmE40nxjQotQykcW9/IjTnkOJtdeHFlWChOkhh+NLB/LHsMrjEWWT47sdcqhkBh/JnLdfk6V/sjyseyA09/dJS8IpYJTPhgvP4oUJiPLu+QgaAZSjH5ugFO+mWJqHfnO6CHqUyOPOV3fxPiByLJSzDoZQrHcoN+fRcQppwpuOiXFjFNeES83BHPkWJqNWOZoZFlUl7xOtiJNNyZiuWHiLg+l/DDi8FByQePtZFedE13eS7jFs2/f7JTjoRSPnltDvaRTbg6/03MJpO4mO1dyuNnFC4gWIosnJg45JWRaaJJjTzsZqfFcdEPNlWz32U6hmUsxh3DYXpJCeoODvFt/4IeUjp7bwy35nDqppFfKIg71ew5JA9E8icyR6PJGKE2PM1FMuSVYybdvaVBLmo9rPHin3BoiFFPrI4trLIUSPZdA0aHTBbekRHgJp8RApTpzT9Qi132Gk/xC42IgI0Ku87TGNabJFNPRdcLPzeFgyLjoMzgnqyq0OyQ5i7VRdEn8lz4psixAvuOU6MJesqXv2aXKipszYRiGYRhGYzFjwjAMwzAMJ8yYMAzDMAzDCTMmDMMwDMNwwhJ9GYZhGMYC0j+anbdMoeSy2qb5rDjPRCw7sNhNMAwjQIpZp1gLhmEsDVacMeESNMowjAajBbcYIIZhLAlWnDGR79gWXbhUcIr2ZxjGdDTeQTHVE1neyw1DKXpAMcMwGkPrGRPqEgnRDdEiXnEisryXH3YKy5wa2eMWPjfzXGRZKYw7hc+VwrhT2738aGRZwO3tt1RwjBa4zFlEnfSK407RSeMOkRClmCU59mRkeT9Me/T+JD7Z56ZTLl7aUsGpL6OUc7pvzJu19Gh+OO3MUaccEamRx5xyCSQ27yCxeUckWY2lnCIxihaB6Mqfaz8lejhtVbcw5OKhDrdLPDuAlOY/CalMYrIvsqwUMyTG90eWj2ePOhlS6cH7l3Q47fTgfU7htNsG749cd1kfo+ploa0XjaUj1y8OXg31kuTTDpFZtRj0CRGRGC7htBMTByPLesVJYvnByPLJiYNOxkxqZG9kWUo50kMPRpc3Qml+OO30Bly6VZfQv4nNO1i3aR0iAr09DPQNkD+0z6E188M1/K3Go+cRQIR8+8nR6461OeXmyHdsjSwLkO0+M7KsxtLkuqKHtHYK5Q1k1jzPSX6hyay5KLqwCJNro8knNu+gp/fEEMdA3wCJzTuaqpMuOuGH046uE6Xk6uh14x6SOtt9VmTZUqIryA0SjVznqZFlATKrz48u7CXJrL7AqX5jJq03zBGRcsdVfOTrU9sqOzLDMJpHWR9LQwdZNe5n4jV9NIzWZUUYE5VvQPHzr5+2b9OlL5zmXnUZBjEMY35IRw9DsnHqd09vT6g+mk4axtJmxQWtKjzydeLnXTdtW09vDwPB/729gevuku08dO/T01yuUswSyw44ZdszDOMEOnqE3O1/QfzcVxM/+5VA4KEIjP/e3i62bexm/5ER+kKGJuMThyim1hE/5TyAmkMklcZIM4dRFpRS3p83EXUelQtaQkp5NBY9k7CxvFgxxsRA3wA7L9nOlS97L2dv9FOBf+oHT9HX568SqHSxbgv2c8l2+iq2a7HAhs4M/ZOd044L0zuo6reo8j4vP4J6ichzD1LDu8l2nx2584hljkZOBS6FcbxSjmLEdNxSzKBeMnLbpTDpND6NFoMJa1Fkg8mJi9FpLyPCvAuvf/l5eBd8gNdd+zq++/QAn/+PJ0Jlt23s9o2K3q4pnezt7SI/dIRY51q8eNLX5WBfWS8rKev4ACd00kknilkSE8+Q6zo9krxXGEPxos2FUqX9+C5i+UHGNlw5/4e6KonJg+TTG8FLzLv69PBu0kMPkOs8nczq8+afTl1Lbvrkos/GgtB0YyKWHcArTpJv3xJJPjW8m1znqXU9kCs7r7//X1cB8J1vf5uzX/UqAK7euZHbgL6+0RMeiQqmOrAjJyL0abFA75r4lBECJ96kyh1Y9dhvufOSUiFYFRGNXOdpTqs5vFI2+uRX8VCXmeOTfeTbNkU2pJLjT0eefCvFjC/fffbsBVVBZp5jYrKPkpeimF4fqf704AP+hLEl2vmlhx4ks+r8aPeWKm2D9zG59uJZi1UbEjsv2c67rzqVof7nGImdwv6xCc5c386LLtrMPfcdmqaP+4+MsG1jNzs2tLNjQzv7ysY+kElnibe1c3CwQG9vV+jLQTXT9PXxZyLrhMZS5NtPqdigJMb3U0hvrM/wLeURiUXqD0TzxHIDxPKjpId3M7nmeSCCFCbwihN1xO5Q4pOHKcXSFBNrwJvfo0CSqzgpXmRkYh/F5GqyXWcGuqPEKZGiyCkyxBlyjAIeEyT4YWk75dUnq8b2Iun1SKKDGCVGSJGbx+MoPfRQ9InNpRzpkb1ukziNGTR/NUdyreNqjnPnLFPdcZUNCYBVJ21mb/+Jtd1X79zI5/tmxjDYsaGdM9cHbwzn+oo5MjjAD39wO/Gzr5zq3G57aO4OrDyM0gz36mxjy/lD0Y0B8BBKNR+4c1GKpekYuId8ehOFtk0UE6vrP44WkVKWeOYIhdRJ865fY2my3WexmRG6JUMJ4UldS4ETD/fE+AHaj/2UbNeZZLvPmrbcsJhY5bS0M7N655L2amRWnRe9fSJzGhLV9PT28O6rTmV7Vwe3HoDbHxmh/2f+Ur3e3q4poyDMwAd4daCP27vUbCv4AAAgAElEQVQ6+No3d/HgnQ9w1S+/m7NO6mRv/wS3PXRkmrE/WzuOPtUR6S25rGfeWB+S9ePHxEaeIXn0ZygehfXnk93+SjS1quYxvImjpB/9AvlED7mObf7qjIp2zDVPJLNxO+Aby7FDe0iUJjhz5G5Wl4ZpT68i1bmZtvRqusnSoVm+nTuNw8UOYlrglfF9/PzaZ0CfwpvoI0+MbLyTwcQG7omdyX9m1rMmM0R7foKP9fyUlFdERIhRopMcO9YMk1ynfP7ABm7re5S89zgv7RnkXb3P4IWoZ1Hhf92znolEO3kvwR+f+zQb2k7oVLEEh7MpxkoJbh/q4a6Bbo50nMRPNr8w/NxdVkh5STJ1PEeM+eFkTIjINcAngV7gW8A7VHV2LdYioqXIY23xySMUUuvqds1dd62/BGhv/wQ//tMbZux/ye/dxB//ygVs7+rgwm3Tl2rd/PAhtnd1sLYryfquFLCRX3rhebQlTzyE3n/l6TxzbIIPf/8J7rnv0DT5Sk9FT28PQwO7yY2MUEzV/4Zb7lB6envoPHo3XTuvQryZHV+tzrPcIWupxFDuXta86A2hsmFu4XK9AKXj+8nf+Uk2XvtbtG0JV8RyG8KOlTh8nOTh/STH95NdcyHp1WfRIXkOaTfFinnA6xlnvYyTpEiCImnNsyV/iNO8vRRHhrllbAvZ1RfiAb/R+TDtkidOiW7Jcqo3xKpYnpgotxzdwB3H1yIol60a5O0nH6QtfuIdMF+CgYwwmhf+7JF2ipS4o7ub2OAuYrlBxjdc4XsSVIlnjtDZfwe59lMY77ls3m5przDutIxuPkTRSSlm0HhHtArL7vJZPI2VD8We3h7++Fd8nXzz397D1vv/nHZgauHw/bD5HX89NdT46nN72N7lt+3GWx7m6p3+ZM2Le/3htne+6ZdZf8Pbpunkey8/lb19o3zypwdm6OS0pheyrGE/ueHHGOl+wax9SuU5rN+0li2b2jl1QzvP3n4fQ6NjxNs7KaxZBwNFetas4qKXXwRrO0jlR2nLjXJKKsdg+wbat54JhQLbCiNkHtzHHY/tI1bcx5rUATpPOo00Sml8jK/KJeSGHiRWyPHLpZ+yUw7RRYYOsqQokJAiSYo8Mhjn7/d24uGxLlXiwxeXI/QOANMDal382I94KlDNy06Dnyuvzpz6048AfRwff4DP3XtC7rJeSIY8KcazsH70KDsHjgKwLQHeZiiVfONhPAvHxkHx/REbJ/qnZEt5yCb8dxNVSCfg5LYskGW0f4yJo7B3zek1jYnUyJ7oS1tVm6qTKwXRiFHIRGQN/t36duDHwE3AIVV9Xy0Zr6tX2855PV4pSyG9sVaxWYllj/lvirO45cqKv/OS7Wzb2M099x1i6/1/Pq96vvP9H059f2D/EGf2djE+fJwf3PZ93vimN4fKTOaK7K16qD89Os7e/gn2HZ3wJ5FV7a81NFKeeFb2kEw3aqbTP5rl+GiOp0fHp7aVvS/7jvr/x4o5pFRCSgXOWB0nXpjk9E4llpskl+xgsn0dTz43wuBTT3Jm/wNMHjtOujBOupAhWZikbewInXGP2056BfmSx/o2YceRn7Et30e8lCdeKkA+R4ICcS1yMN/J7bkzoFSkTXO8vfNekpqjPSG0xU4ESMqX4JO71/HceIJ0fpKXnzLGi7aGewGGJuCzd5/4/Z6X+p1QGD96HO494H8/8yT4hZ0wkYPJHMQ8WB3YA6USfPwH/vdPbr2QYz0Xz4grkRreTWrsSSbWXkqhbdPU9lpzY6pJjj4xbYgqc9dHdqnqJeEtj05Unew69cX+uP8CzcWpNIh/9RX+/IIww342bvj4v0x5HYApo2L4gR9w9eUv5fTTTgnVDfD1o7yvfzTLscEJHr/jNjb2Pci+B3fR3dVFR3sH/kCeksxneCq2iaGMsDY/xhlDD3Fe/gkSpRwdkiNVcf9O5ODvfpqGYgEtFLjhcuiuMcLx06fhruAW2bYOfnGW8Bx/fyeMZvzv1+2EM2qElHh6AL4axAxLx+GtL4BsAXJFyBX879mSkCt53Hc4Qd9kgoJ4bFoFvas88Dy8Uo6YKHEvRrdkWRvL8K+Pd3IsvZaJRDvndI8TLxXxSiVKCGOxNA8V13Ig1UspniRWKhIvFUmWcqh4ZL0EBS/OWLKT/rZ1ACSLOVLFHO2FCRLFHIXxJ8noBIOrL6TUvpne7DEuyT9Nt04yWEjylK5hML2G/avC49N4hbH5z9MoU8qTnHh2WqyLhdJJABG5d++R8fm574DXvfwyHnnwfhd3clNxMSbeBvyKql4d/L4Y+Jaq1rQSvK5eTV34zrqOH+biyx/aV9MlWS6fP7Rvailob28XD937NBc/94911RlGpVEBcM1VL8Gr8gxUl6nm8N13U/jZt5k48BjJWIz2dBKKRb8DKhbIJbvo7zmPYiaDjo9w2rPfR/JZvEIWr5jDK+TwijlKuQy7RjfyzHAcRDire5QLVw9Om8sQlxIJKVFS5W/vTkKpRKlY5B0vUtbUeKH+2dNwZ9DJbV0Lb5jltv/sXTAUBCCdrZM7cAz+/T7/ezrhP/jLqEKm4Ls2O1Nw64PwhP9yw0VbYOfJ/r6S+v+PF+BYPsbxYjvfPryOkniUxOOqk4bxPCjgMalxntB19NFNXmIMFuJMjvUTnzxErK2HwupTeaJtKyNJ/413++QhTi0dY7VMsjuzmnipyIMbzqcQZqQWs4AHsZmWS+V9Vy8LaEwsmE5WexeAqZUVid7tofNBeqomQ5aN+0P/UNO2qYv8qz889T32jT+YoY9/+pmbOTPwyFV6LMrkRkf5p/Xd/NaVtev45sOwJ4i0fclWeGlVzLPy/TmZh5vuPLH9jZdAZxpKKpQQCiUhW/LIFj0eHmrnoeNp8plR1iczvPSUEqVEO4pHHo+sxqY+3xvsZWQiS95LsK0jSzIBg6U0w6UYmcmj5LKDjHtdDK26gHyii4IXo+jFKUiMTDztf2Ip/34WQYpZ0sO7SY3sBon5hnH6JEqJbmZQaygz8NK1DT1AYrKPsfVXRJ58KoUJ1EuBF20ekRQnnYLoVWPGhDsuwxw7gco4uo8AJ4lIp6rWjJMayxzFK2bId5xSqwgwc3VE+XdqZA+5zu3TbqRK42HbtRdMeQBcDQmAV77s56f9ru64wspU876NmzjjkS9xwabw/c8Owk8Ct2IiBi8J6+Q8IA3FJ55lJOjkdCt01xgxyRaglDsRv75U8jtADb4XSlBQv7PLx5Ik1rTjxeMUVsV5cnyUopegFEswqR6j4xMMj41T6ljHE+fv5LlMgmIsQSE1wJrJHGPZEllJkpEEWUmQlSQDqQ72/dx69OAu0pln+a+9RYbWX8rxzu0MJNYw2d5JPpZkQ6Yfb2eRo8dHyMRT5L0kRTxK8RhazNA2fB+p0ScotG1kYt0LKfacWE3yz7UueDApMO0NIu0pSpJhpOs0ShUrUfZ0ncoegjeTkP60knjuOOolKcbWzdhXjxGRHrw/mDex4BMwI+lkevA+MqsvnNUzUT7PxOYd04exVInt/tqMMeyy8dHb2zU1qfKhe58m4aiPAIlv/e8TP0L08ffe9dpZ5aVU4h0veBH7Jx8gky/SsWoNxOKBX0IoeXHWvGwnZ/ScxcMTHrflc3w3M84zmTYe2T9Av9fFmaWf0H/8OLFEgp7LT0I9DxXhWyL8tPDiE1GuY8EnAWwEWZ8lPfwI6eFH+PPBOENb3hjuZa310q0lkuNP+yHMtcDoutPDDYIqvPwI8exzeKUcihDPHKGU6A6XrTknSYnlBonl/DDaKtEfH/HsUYqpHkpeNO9CcuypuubPhVLKkR55zKJgNhgXz8RngAOq+tGKbXlgq6r2VWy7ASj7NM8EHIKqz5se/MFD4wR2TcJp5nU5HfiJqr6ikQdtAZ20ey8cuy7hNPO6bFXVaMu15sA8E3MzBEy5B0QkGRxvWvYXVb0Jf+y26YjIvQvlumpV7JqEs0yuy5LWyWVyjRuOXZdw7Lq0Fi7r1fYA51X8Pht4QlUd8tIahuGA6aRhGIuCizFxC/BiEXlxMIv8T4AvNqZZhmFEwHTSMIxFIbIxoarHgLcBnweeBY4Cf9qgdjWKRRleWeLYNQmn5a9LC+hky1/jBcKuSzh2XVqIyBMwDcMwDMOYnZUyAXPpxvg1DMMwDKMlMGPCMAzDMAwnlrwxISJvE5H9IjImIj8WkTNFZL2I3CIiwyLSLyJ/I+JHBBKR7SJyl4hMisjPROTsYHuHiHxPRI6KyJuCbb8mIiURKVR99izmOdeDiLxHRA6LyIiIfFNENonPx4Pr0iciv15RftlflxrXpF1E/inYdiS4VxJB+WV/TRqN6WM4po/hmE6uHJa0MSEipwOfAn4DWA/8B/Bl4MP4a+o3AhcCVwFvCcQ+j5+X4CTgK8CXgu1vBb4AnAH8WkU131PVeNUnYgaZ5iAi5wF/BLwGP6HTKPAx/JwMVwPnANcAHxWRcmjCZX1dZrkm7wfOwr8mFwLPB34zEFvW16TRmD6GY/oYjunkymJJGxPAlcAPVfU7wVr5vwAuAAr4bffwA9fGgOMicgrwPODDqjoC/CWwTUTOqijX9LTrC8AVwDdV9WdBmOQvAOfiK9zHVPWQqj6Mr4hvXCHXpdY1eRnw56p6UFWPAP8AXLVCrkmjMX0Mx/QxHNPJFcRSNyZuAf57xe+LgQn8N6GfB8bwl8Adwk+3fAHwmKpmAVS1hB/IZwfwL/hvS48Cn21S+xeKzwDvAhCRdfjndQ8zczPsxj/3lXBdal2TdwLfqyh3CdDHyrgmjcb0MRzTx3BMJ1cQS9qYUNXnVHU/gIi8HvgGvovs48DPgNX47rKt+G6ybmC46jCjQLeqjqnqVaq6QVX/vWL/y0QkU/W5cWHPzA1VzatqTkTehR+7/jX47ubq8x8Nti3761LrmqjqblUdDcZcPwG8DvgzVsA1aTSmj+GYPoZjOrmyWPIuIxHpwXeDXQy8Q1W/LiJ/Cvycqg4Dw8ENeQ3w91TkJghopyo3QRXf1wYnXGoWqvoZEfkXfOv/Fvw3w8rzL5/7ECvkulRfExHZBLwY+CfgYeAiVT0oIuewQq5JIzF9rI3pYzimkyuDJe2ZEJEO4C7gGHCWqn492DVRVTQPjONnPzxbxM+lHPx/JvBQc1rcHETkAyLyVoBg7PrvgLXAQabnZjgHeJAVcF1muSavA74K/E9VfbWqHgxElv01aTSmj+GYPoZjOrmyWNLGBP4Y2WFVfXswgafMN4A/FJHVIrIVf3b5V1V1H/A48Dsi0gZ8EHhEVQ81veULSz/wfhE5VUTSwI34Fv6ngBtFZK2IvAD/+v37Crkuta7Je4HfVtV/rSy8Qq5JozF9DMf0MRzTyZWEqi7ZD/BJoIQ/W7zysxX4HP4b0rPA71XInIE/fjsJ3IGfp77W8X+txvEHFvvc57guceCvgCP4Y4zfwZ+kFMPvwEaD6/LmlXJdZrkmYyHn8YOVcE0W4BqbPs7v3lux+jjHdVlROgncu/fIuM73c+7OC3Wx2z6fj+XmMAzDMIwFQiw3h2EYhmEYxtyYMWEYhmEYhhNmTBiGYRiG4YQZE4ZhGIZhOGHGhGEYhmEYTpgxYRiGYRgtjIicKyJZEdkY/P5dERkIPn/UjDYs+XDahmEYhmGEIyIx/KRqyeD3VcBv4YcsnwB+ICL3q+otC9kO80wYhmEYRuvyO8BPK36/Ffi0qj6mqgfww5j/8kI3wowJwzAMw1iCiMgNInJvxeeGqv1nAP8ffujxMjuB+yt+78aPPLqg2DCHYRiGYSwgx0dz85YpFBVVvQm4KWx/kAjtH4D3quq4yFSwzOpU7qPBtgXFPBOGYRiG0Xq8G3hSVb9ftb06xf1cadwbghkThmEYhtF6vBR4k4hkRCQTbNuPP6RxXkW5c4AHF7oxNsxhGIZhGC2Gqr6+8reIKLANuBD4hIj8G9AJvA9/XsWCsiieCRF5r4i8cZb97xKRt87jeD8SkYbOVhWRj4jI++ss+0/1lm0kIvLP1ee9GOuLjdanlk6KyLbyW4+IfE5ETpvHMbW87r2B7bxTRF5YZ9n99ZZtFOJzIOy8ReQqEfmPZrbHWHmo6n8AnwceBu4EPqGqP1roeptuTIhIN/CrwFdmKfZ54H0i0jZLmQVBRC4QkT/AX26z6ARriKu3XSYi/wd4U9X2yvXFFwNvEZHXNKWhRstSp04C/A3wsYVv0UxE5BoR+TRw+WLUX00NvXwD8G/AKVXbN4nIbwJ/36TmGSsQVRVVPRJ8/4iqrlXVDar68WbUvxieiXcBt6hqEUBErhWRPSIyIiJfEZF2Vc0CPwTeHnYAETlDRP5LRCZF5Fb8CSZUHG9vsO9BEfn5YPtPReSdFeX+REQ+H3L48/FdRYfmeV6niciuYPzqWyKSDuo5TUR+EJzfLhG5PNj+UhHZU9Geqd8i8qHA23EX8ImQui4FeoD+qu2Lsr7YaHmqdfJdIvKciBwDfqNcSFUfBLaIyLlhBxGRXxCRZ0RkVEQ+UrXvAyJyRETGROQ2ETlZRLqDqH2nV5S7R0TC9P5y/GHZsXme27WBp2BURD5aUc81IvKwiAyLyDdFZEuw/UOB0UL178AD+lEReRr4xZC6rmT6LPoyJwMXMf8+xTBahsUwJl4P3A6+CxX4f8BbgF5gLfDbQbnbgetrHOMzwG34D9Sb8R+uZT6H/3behb9s5i+C7TcDr64o96pg2zRU9V9U9Z3APfM6K3gN8A5gM7Ad+MVg6c7XgW8Bm4A/Br4mIuvrON7rgd/Fn7Fb3ca/Dtq4t2rXoqwvNlqeSp3cAfx5sO00/MlblfyQEL0UkVX4HsX/jn+vb6jYdy7wHuCFwfZ+4LdVdSSo91VBuXX4HrWvVx9fVT8Y3PPH5nluLwWeD1wG/G5gxGwFvgy8F9iCPzntS3Ue7zrgClX915A2/kbQxurt/xVs/8d5tt0wWoamGhPBw/VS/Icc+G/NX1fVXao6hv/g/M9g30PAi0KOsRm4BPhDVR1X1X8CHg32CXAN8D38TkuBdYHozcDVIpIMjrEDaOT45ZdU9QFVPQbcje/deD7+BJi/Ctr6NfyO66o6jvctVb1HVXUebViU9cVG6xKik28EvqKqd6nqEPDhKpFQvQSuBXap6q2BLv9Bxb5n8YfeDgIbgRzT9bJs5L8CuEdVB9zOahofV9XnVPUh4AC+Xr4J+Iaq3h4YNB8Cnlfn/I6/VdVnG9g+w1gWNHs1xzp8A6b8wDsFeKq8U1UfAx4Lfh4HOkSkO1D4MicDz6lqZRSQvorvb8N/s3kGv/MqH/txEXkGuALfc/BdVZ1syFn5HK74XsS/tlvx1wFXGgT9+IbOkSr5asNuKEIbFmV9sdHSVOvkyfi6U6avqvxxfC9iNdPkVLVfRPLBzyTw1/hDiHuBBP6DHeBW4K9FpAPfQ/G1yGcSTi293FfR1ryIDFPhTamgEXppGMueZg9zlI2XcqiuY8BJ5Z0i8nNyYhVHqer/Ms8BJ4lIqmJbecLT1cAvAGep6mXMdCvegv8W9GpChjgcCfMg9ON3spWcjr8WuMT06x/Wkc2XPSzC+mKjpanWyeeYPoHwlOnFUWbq5Aw5EdmEbzSAP3Q5CmxT1ZcDP5s6mOpz+ENzLw8+jU5GNKdeBkM0PfjG0ELopWEse5ptTPQDGWBN8PtrwC+JyPnBeOlfAelg31pgMnCZTqGq+/GHNf5ARDpE5B2cmBcQx+8U08HY7+8C8cCVC74BcR2+y/UbC3B+1dwDtIvIfxORdvGXcZ6MPwxzEDhFRNYHM8Pf1oD6vgD8pohsFpEz8dcXf7EBxzWWL9U6+VXg9YFhvxr4QFX5NfiGQzXfAS4NJkB34g+PlI2OOL5hkQ4mIL8FSATDkuDr5R8CTzVpCOGrwBtE5EVBWz8EfDsY1jkIXCQiXjC36bomtMcwWp6mGhOqWsCfE3F+8Pt+4PfxJyg+jp/57HNB8fOAn9Q41Jvw5x3043sjvhts/x7+A/wZ/A7jT/DHZz8W1Hcvfqd2j6qGzbquiYhsFZFCMHmrLlQ1gz9ZrTxx7PeBN6hqRlWfAv4P/jn/DLh3Pu2pUd+irC82WpcQnXwY+B/4y0T3ckK3ypzH9AyF5eM8B7wZf/nos8AT+N4Igm2b8XXgA8Bv4j+krw323wxcgL+scl6IyK+KyL65S05r64P4k7T/Gb8POTtoE/gTMQ/gn/tXgW/Ot02GsRKReub3icjbgD/CdwXuAm7Af/j/Jf4KhnHgw6r66ZoHOXGsG4FVqvrBOcr9KXBQVT81ZwPngYh8F/hc2GzsOmQ/BvxZMMnSMBaFRupjcLy6dDIoew9wg6o+ErH5YceM4xsa56jqvJdPisjnVDV0GblhLDYicu9Pnhi8eL5yv/aal7LnkQdk7pJLgzk9E8Ea8E/hrzdfj78C4sv4MSCuxh+Xvwb4qIg8r446P4u/9rvm5E8RSeDP7G7YUioRSQfnshN/0td85dcBmCFhLCYLoI9Qh04GdZ8PHGuwIdGG72m8O6IhcQVwR6PaYxhGNOoZ5rgS+KGqfidY/fAX+C7JtwIfU9VDgWv0S/jLymYlGJf8e2YPpvQW/OBLE3W0r15ej/8W98Fg+GFeqOoxVf3dBrbHMKLQUH2EunUS/LgM/ytyy8P5v8CfAnN6RcJQ1TuC5eGGYSwi9SwNvYXp46YXAxOEB0i6up5K53K/LkTnoKpfwJ+gaBitTMP1EebWyaDMjIBMrqjquxp9TMMwms+cxkQwsQoAEXk98Gng/fgrL+YMkCQiN+CP6YKXuFjae9xabBgtjo4dHgF+oqqvmLesoz4GcqaThlGBjh0eUNV6IhMbNagraJWI9OCHpr4YeIeqfl1E/pA6AiSp6k3ATQBeV6+mLmz4y41htBSZuz7yRBRDooyLPoLppGFUk7nrIwfmLmXMRj0TMDuAu/BnW5+lquW4+RYgyTCajOmjYRhLkXo8E28BDocsvfoCcKOI/Bg/quNb8JPpGIaxcJg+Goax5KjHmNgJvEREClXbT8MPdHMAP179+1T1iQa3zzCM6Zg+Goax5JhzmENV36OqnqrGqz4HVPXdqtqlqltU1cI2G8YCY/poGMZSpNm5OQzDMAzDWGaYMWEYhmEYhhNmTBiGYRiG4UTzjQlV0NLc5WrIJsb3QynX0CbNrw0R2w7+uTvVvcjyi4nLdQe3c3e+7kU3+YXG+dpG1ecSsewxvPxI5KqlmEWK846OP60NTizmfbXYtLJOuf7djRk03ZiI5QZITM47nw8AqdG9tB+/FynlI9ffdjx6pm8pTJAa3RtZPjHxDLHsQGT59ND9ToZY2+D9c5erQSw74BtyEUmNPIYUxiPLp4cejPzQkWKG1MijketOTB4kljkaWT49/MiSNijSQw873VfpoWjhLKQ4SUf/HcSy0XPnxXLH3PqDwQciy0oxS2p4d2T5xOQh4pnn5i5Yg/TgA073VdvxXZFlvdwQyfGnIssnx57Ay4/OXbAGqZG90eVLOaf+wAinrhTkjaIh0fZKOZAESMtkZjWMaWTu+sguVb1ksdsBSyACZikPEgOxEVdj8VhInVwpKcjrCqe9pPCSi90CwzAahZdY7BYYhtEA7HXAMAzDMAwnzJgwDMMwDMMJMyYMwzAMw3DCjAnDMAzDMJxoqjEhiVQzqzMMwzAMowk03TOR2Lyj2VUahmEYhrGA2DCHYRiGYRhOLIoxYd4JwzAMw1g+NN2YkOwIMtEf2aCIZY76UfMiEsv0R5ZNDz1EcvSJ6HXnBp1CSscn+6LHtFclPhEtjDn4ocS93FBk+Vim3ymnSnyyL7IspYJT2GIvN9yAv9vSzAUgiRTxycOR7ysvP0xi/Jno9RezTrk5Ypl+xOG+SkwcjCzr5YacwuN7uWGnkNL+3y36feWiU1KcJJY7Hlk+lh1AitnI8k79gRaJTx6JLm+EsggRMF3Dd0vwiYZXnCBqNPtc+ylOYX9VYrjZb+IWRlxiDnU7IlP/LArqUrdrs8VrwEEWkug6mRw/AFog33FKJHnRvJMxgHhOPYpK9C4wlhsELxG5P0EEXdQw4s43dkNasShYOoaG03RjQlOrAMgf2hdJvpheD8w9VFLr+PmOrZHqBSglV0eWBSglup3kC22boguLUGjbGFlc4+0o7ZHli6n1kWUBCm290YW9OMX0hsjipcSq6HUDhXT0677QaD7rdG0zq3cC9Q1dhulkKd4J8c7I9RdT6yLLAk46ke/c7lT3ovYHjvIaa6MYa4ssX0z1RJYFx/5AYhTSJznVb8ykqcaE5rORjYhKyh1XT+/0G3Kgb2BGmUbUZxhGberRx3I500fDWJ60XqKvgJ7eHnp7u0L3VRsV1oEZxsJSrY99faOhxoXpo2EsT1rWmAijt7drRidW7sAqCevMZnPTWudnGOHU0puyLlbS09tjBoVhLFNazphIbN4xzVjYtvHEuOP+IyMzOrFy2bAhkPnUaZ2fYcyPak8F1GdQ1NJP00GjVXl6dP6rwbLFpbkCrBYtZ0yU6e3tmmZIgG9YlA2KSiq9FdXjuDBzrDesnBkUhhFOLeMefAMfThgWZV2sZVDMZuhX7jNdNIylxaIbE43uIMqdWbkTg5kdGZwwFsLmXsxlfBiGMV13a81fqtbHyqHISoOi2oiwyZyG0Vos2iLnxOYdDY2EuWNDOzs2TF+6uG1j99QHpnd4Pb09oR4Jw1ipNFofKwnTw7L+zWVIGIax9FlS4bTn05n19Y1O8z7sOzrBvqMTU7/DhkAg/A2qco5F5ffKtyF7CzKWM2Xdq3eYAU7oxEDfwIzJlpW6WEktg2I2zDtoGEufpqcgb8TbT9TOpbIjCxvaKHeIA30DZkgYK4ZqnQzT0XqMjXoJMyhqeQqrdT1/aN/UxzCMpUPzPROlAhRrh8+ds7PKT8wrj0B5+GPHhnZKxSI9emzW8uXOK7TTUkWKk0Oi5mUAACAASURBVHXXXY2Ucv75R5UvhL/tNUW+VHCKpS+Fyeh5RXBsu6pff9S6nf9u0fN6LDSSSPk6VUWlHs66bPrg40hm/jkaygZF9+gjlPrDDYNqgz7MgJBiZhHvq5KjTrVwf6BFt/6gOOmUV8S9P3C7dsZMmm5MeBP9xEb8xECVbySzuTsrOzN58g6kMDHlWq0c6qimetz2+OP3cmTXbTOGQMpUGhJhSClDYvJwzfrmIpY9hleIntgnOXEgugJqieRE9IRMXmGMWG52Q2w24pkjfscfkeT4/siyUsqRyERPDBTLHSfmkIwqMXEQNHIGhwUncfSB0PbVmtdUuS2eeY7Y8P6p37PpYzVtR+6n/z8+yerk2KzDHrN5Ifz7Krqh6HJfxScPE8tHT34Xzw0Syw9Hlk9OPOt0X7mcu1cYJ5aNnjQxnulftL8bWiAxGT3poRFO01dzlDo3zTlOGjbDu/xdie5mfeFLfp59Z78gdN9chgT48ehznadGrt81ln62++zowuKR7T4rsngpuZoS0XOTuOYxyK46J7KsxlLkOk+LLO+aWyPXfaaT/EKz6tLrZmybayixrKOFtk3ISTumytda1RHGSRe+hHVnXcqBvumejfkMMeY7ttVdXxgu91WhfbNT3a75IbKO95XLuZcS3U65RaImhivj0na8BLmu053qN2bSVM9EPBGf1ZCo3Ffv2Oxc3onZqO74bBzWWGnEE+HvE/VMjGzEiqx4up1Yu1vCK8MwFp+6jQkRuVNEXhh8FxH5uIgMi0ifiPx6oxo0n2VhlW8w8zUoKoc6bLa40Yo0SifLE5KrjeuoSzSj6qIZ94bRusxpTIjINSLyaeDyis1vB64GzgGuAT4qIs9bmCbOTfWytChYx2W0Cgupk7MNU9RjXDRCFw3DaD3q8Uxcjj+3Yqxi21uBj6nqIVV9GPgS8MZGNGi+XoL5eCcq177vPzJiHZ/RqjRUJ8vLoiuXR8NMXZxLN6t1Merwo2EYrcecEzBV9YMAInJ1xeadwP0Vv3fjvxXNSiFfqMtYmI+XILF5+uSv/UdGptym+45OzFjRUc1A34B5JYyWYiF0cr7h42tl3q2Ur9bHuejrG61rIrRhGEuPqKs5uoHKNU2jwbYZiMgNwA0A0r6u5gGjdh7lVR+1ZpOHReKzNyZjGeKkk2FGxHx1cioiJv6QSF/faF2rO0wfDaP1iWpMDAFtFb/bgcGwgqp6E3ATgNfVqwvxxlHZiZWp9TZU7rgq34IMYxmwZHQyf2jflEEBzMs7UZY3DKO1iLo0dA9wXsXvc4AH3ZvTOGZ726kcF7aOy1gmLDmdrMzZEaaPlfMqzLg3jNYmqmfiC8CNIvJj4HTgLcBlDWtVRMpvRDBzvLa6M7OOy1hmLCmdDEsrXsvAN+PeMFqfqMbEZ4DzgQP47tX3qeoTDWtVA6nuwA7ueYLjY/5pR+q4SgXwmh441DDmYknq5FyRMQ8d6IdChmOD0XJUSDGDSgy8ROQ2OqElkEVJvryyUQWRxW6FUUHdWqCq21T1p8H3oqq+W1W7VHWLqn6x3uPEMv0kxqPniEgN764rpnvYss++vlH0+H4gmiEhhUmSY0/OW65MYnw/sWx0j0jb8fsccnOoLx+RWHaAhEM8/NTIY04Jr9qO3xtZVooZUsOPRJZPTDxDPPNcZPn04P0LkpujUTqZHox+X8Vyx2te20odq6WPZEcZPPDkjPL1kpjso20o+miOy30Vn+wjMX4gsnxi4lnH++oBp0Rhbcd3RZb1ckNOfWFyZC9ePvrS/NTIo3iFsbkLhlHKkXa4Z4xwmv6KXUyvx6Vbza46d9b9lZO/yh1Yb2/X1PfBZPTwvxpvc8qz4JpHYHLtRdGFRZzki6keiqloERHBMa8IMLn2ksiyGkuTXXXe3AVrkG93yyOQWbNo8dzqIrPG4b5IrqWYXFtzf5g+ViKd6yl1S+ThDT9XTvR8OS73VaGtN7IsQL59i5N8Zs2FTvKTay+OLFtKriaXjJ6rxzVfzVzPgVnxkmRWX+BUvzGTZeufq5wTUe7EbA27YSwtbO6SYSwPlqUxMZuxYIaEYTSX/KF9oUaDGfeGsXxY1jMJ7a3HMJYOpo+GsXxZlp4JCH/bsTcgw1gcaume6aRhLA+WrTFRjXVahrG4mA4axvJlWQ9zWOdlGEuLymBWpp+GsXxY1saEYRhLDzMiDGP5sWKGOQzDMAzDWBhWnDERy/QvdhMMwwiQYtYpEqJhGEuDFWdMeMWJ6MKlArHc8cY1xjBaHVUncdE8UspGlo/ljkMp79QGJ6KGt1/paNH53jGWFk03JrzcoFM8+uTo43Xl5qhFvmNrZFkoIcXoHZ/l5nDJzRE9j4Cfm+PRyPKJiYPEMkcjy6dG9ixIbo5GkRzdF/m+8gpjpIcejlx3Kd7pFKZdSjnE4YHukpsjMfEsSQedWNG5OUb30X3o1sj9qUtfRilHcnTRc+AtO5o+AbMU70QdlD/XsQ28ZOMaNB+8JIW2TZHFV3Rujq6znLL8TTrkj9BYmmz3WZHl8229Tpkhc+2ngMQiyy8kAqgXD77Nn1K8k4xj3hUXCumNTvIuuTlcc2u0fG6OxKrI8oX0RkbbT0ZjqUjyky7n7iXJt22OLm+E0vzVHF4CJ+fWYhkShhuu6YKd5R2ccI4ppjXe7iS/kCiORq4IiC0KW5E46GQpGd0Q8etevjrZqqy4OROGYRiGYTQWMyYMwzAMw3DCjAnDMAzDMJwwY8IwDMMw/n/23jxOkqwq9P+eiIzMrMzK2qu6u6qnN7qnZ+3ZYRgGZN9FcFTEQVAQREWFJ77Hez70CahPUPypuA1uP0VwAWfYBId1YBxmZfalp3t6m65933KNiPP+iMzqrKqsJSOqqqu77vfzyU9VRsS598bNODfO3c4xRMIYEwaDwWAwGCKx5YyJ5PiDZ7sIBoOhjF0cw5k9ebaLYTCck4jIe0WkX0SmROTLIrJDAj4hIpMi0ici79mIsmw5YyLfcuhsF8FgMJTxnNZI/hZi+cFN7RDMYFgvROQy4LeBNwLdwDTwMeAdwMuBS4BXAR8VkavWuzxbzpiI4jwolu0llutbw8IYNgTfxcmeMu57NyMioXwGiJenceB20kPfObuxPaI8UxGfx1iuP/y9q09i8jGs4kSkMoTGd4lPHY7kwdPAi4Avq+o9qjoD/BNwKfBW4GOq2quqjwKfBd683oXZeGPCLyFePrR4LD8YyRe/07N/7lMvbsMO3AheIJ3Zk2fVnXZy/Oy503ZmjiNu+LgoicnHQsvGCsOkRr5P8+l/D3UPdn44UqNrlSZDy24EkV7GqsSyvaHFq/WxHp1UO0mu9Wrchm7EL4bOP5qb9gKJqcdDy2b6/wO7OB4uc/VxsqdoPv35UB0c8Qo42V6ae28jOfFI3e2KVZrCyT5bd74VnFwvjSN30nz6czgzx+s2rCK5w1bFKk2Fl988fAp4F4CItAM3A3cBh4Dq+fzHgfpfeHWy4a7rLHcGyy/i2slQ8io2YV3/Oj37act4SGMXo/2jOD37KfUeXX0CYoGE98BZSu2K5lI6ojvtfEv4ka6o7rTdhh2oFc51LkCx8TmhZVEPUZ9Ceiduclvd4r7TGG1EqzBCMZaJ7LVvvYjlByjG0uHKJxLNVbgqHT2dAIz01Wdoe4kOZjtfGD5vorppT1Boviy07EzXi9HQHn0FL9HBZM8b8eMtdUtb3iyxwgh+rBHURfwCajesWt6PNUbS50pMDrWSiF8CfGD1z5Gb7AqdN+piF0bxnabwadTJ4eH6O1IF10dE3g28u+rwLap6C4CqlgBE5F3ALUAeeAXw80B1D2YaWPeb3fjYHPFWosTZC/tCc3r2096kcO9fo26R1n0vYbzh0gglCUFUl9DncP4a0ng8I7/6hm4hbmonkxfcFLrhjpI3RDSENoBi5kAkebchXHwMp2c/rcWjFL74cayeK2m/+icZpU4DPypnUydi6fDCIpGeKy/RweTON6J2KlwdiBU6rgYEz9xkog0v3h4qfz9CXBAsh1Lj3vDyG0jZcLhlhWs+JSKfJhiluA2YAaobrRQQcghs9WzOrtJ6EUsgMQenvQdrx+UgEmq6w3DuEb4HaFgPnJ79tDcDySakuZvYpa9HxKKjuyP0NORK+Rnmo7H02TOmJBhZOesdrHMYEfkNEXkrgKrmgL8A2oDTQPWQ2SXAw+tdni0Rocfp2U9HdwdaylNMtCM0EEu10ZEOHuTK4GpH9/xRj5G+kVC9pOqGa0N7WWeRWK4fz2ne2AA6qtEaI1Ws0mSoYWJDeCr6MTY4Tvq+/w+341LiyTOjsHN62N1Bd3dm7nhf3/TcVEhFr6ziBLHuA2hifk+11Ht0kQGxmfQylh+kYewBCk0XBZGQz8YUmPqkRu/BczIUMgcBJT57kmJ6L1hb4tVwrjMMfFBE7gL6gPcDjxIYFR8QkTuAAwRrKV6w3oU575+Y6gZktG+YZrGxtl+CVL2EKo1Xd3eGPdub2N8VvBC/8UiGvu6OuQZMitPERh6l+do3zMkubNwq+VXSrBgqpd6jZxYZhXwB2oVRfDsZaXg0PvMMvp0KH0pdFbSE5RUQP4/lFbCL4zSM3QcEIeJzrVev3wtaFfBxcn2kh79HIXOAfNNlaKxh8XXqIeqBelhuFrViiLpzx+KzJ0lOPUEpuY1886Fgi6LpKa0vvos1O4CVGwU3jyZbcTuvmNOjjrIB0dc3vUgfObQ90Mm+aSjrl3v4drwH/4QdN/1PkjuC6ZrK+eo1GNXpQqCXCw0KqzRNevi7FNN7gpfrKl6o4uYQv4D4RcQvIVoK/la+zx2r+u6XsEsTiLo4+X6Kqd3MbHvJ/LUn5edc1APfQ9Sd9zyLusS1BOrhKqAeSb/AAXuCDsnSITk6rRwdVoGMA7Z63DK1gxOlGOK7XOdMcDA2zaBfYiJrUcp9n0wyjRQmODKZ5kT6CrxL3wRi84v5/ySPQ07izEgSq2Mb01aa5I4uHh1PkrOSqCr+M99FWnpItu0m1XuYPd4Q23WC3rEsx9w0A0OPUWrooZC5cK5urdIUaiXqmzJRxcmexE1uizwFeY7zt8DFBIsuG8p/bwKOA5cDJ4EJ4H2qGmHF6urYeGNC/eAT0vK1i2N4saZVyVde7PbEMTr9u2nse5xM5w5e9rM3cWwkz4mBqbnGpdIDOjEQrPLd35Viz/Ym9mxvgqt7gqKrgj4fsey56ypyfRXjoW9k3ghHtVGhR75Dw8RDzGx7Raj5xvjsMdSKk28+NPfSE3c2KNsqDIyGsftomHgEgHzmIrLt19UV0r3p9L9jeQXUcvCtBN1xoc0RGi2PtkyOtCUkMjOkGh7jiHbwZfcAcb9IO7N8KH4HufwEM2qR8y1mfWHGtzhSTPBwPoniE/dK/ELTENelc1gCjihx9clYPo2Wz1NZmw+dbCZvWxRE+fUdM2TdAWan/gtVm11OCVeFo6U4386mOaYpfCsGKLY7jW8n8ZwWsBxUbOziGAB2cQK7NEmJHmotAqusXC80XRxyG2Mh0vzyuuMX63oOFmIXhvESnau6Nt65jYZHbsEqBLtjLnvbh2g7cBXPjhXnjTxUqNZHgJcf2g6HzqzRGL0EnLe8kaauHo4OBYvc9mwPRjlOVBkPFT2tGBQd3R2MAPLkV0hOPoaoh+XlES3h5AdITD/N9I7XzFvrY+PTxSwJcZnWBAqkJu9hsphHxUGt4COWQ9oW0jFotIVG28G2GnhWm3mWNtSKc7B0lDcU76LLKtJhP0Zr4SFabY9m2ydj+7zriTby2Phi8z92T3BNJo9jBTrhiOKUH8O7R2L8yZEkFrAr6fG7V+eWrPuGJ3s5NSGA8OKDcP222qvXjkyO8yePT9F47Ds4+Hz4xtn5F8yU/x6Dvz/VyDeGGyj5Hoeasrx7T4H2fsWqtskTUIjBTw+kyVpPkIvdyW9f7NNqZWmIFzhecrjb3cftznUUiXFSWxhnaSPB8mZJTB8hPfw9cq3XUGi6qG693PQ6uQpU1SUYjXh/jdO/VP5sGBtuTNjFMcQr4KZ6QsmLV4DY8ks4Fw5vXnjd5WS//seMPfsMDbsu45sP99E/OF/pKo1Ohf1dKV536fxpj+/efR/f/qvfofuiK3nJT7+PS7pbODyc5RuPDMxrrJZitHA1M/HWuYc4PnUYtRPlXR5LK0PlfnLVw/rqY5WmaRz8BnZpAje5nXzTJUssLFK2M8OupjQ7PI+MLaQaBmm0/4smW/mOu5t7S9tJeEVu4CTvT91PkxRokiJx8bBRLJT4Po+3HL+Rkm/huCU+tv1BLm2cWZDXKABPDsJ1gd1Cawre/gJgCd393w/uwJrJ0pSf5DWXwqVLrTvOevzE6HBQdzb83DL+x770yBiPDdmMpDp4fneOF+6cxsOiRAwPC1cFF4vxAvzps/tIDDzNrZmDlOxaK8oFL94Weig6PvMMhaaD0XY9rCPJqcPkmy8Nd3+qWG4Ob4V2ufIMK5A99G5aDv8t4hY5+c3PMpnsYWjSnjMkKgZ5LZ0EONgZ/D08nKWYnaWxfXvN6+CMYQHM6wDYvssNTcJs5ir8oe2kxk7R7o7ROPM0qUQT3/YOMDl+gsbSDG9uPMrNbSdoskvzX5LA+PY47z96FSqQL87wJxc/ybZY7Rf6VwY6+HpvMzG/xLVNE/zkwaW3J75udoTZYMMDF+2Gjhq2nudDs+ty9Wyggw1FGJ6GXAmyxeCTK0GhFNT7VBZiqoAyPA6PWdCYDHTJsoLrLAtS4rN7NjD2LIH7T4JjQ8yCeCy4PuFAMgYtYzNcORbkf10zdCbAV5jMwUQWZgrQWD723JmKUTLFtQ4kneDbvqTLy3ic3yDYZvuZp9IcHhCeadnL5w++cfGN+yUsdwbExvJyiF+sb4G3XyQ+eyLQScOaseHGRJTthUDdw/OHrt3Lnu1NeHs/zu0f+5+4R+8mNfQEu4G73WBbWa3FWd8AOLSdV+8LelzHp2e54sAeBi+6hPf+2vvZuWsPnZkErz4Iv3rjPg73TfO1Y8OL0jnYmWJvJk1bJs7A4BU88s3bGO47zrOnTnGi9ztBPzibpnj9O7nogp1kZod5Y++tJLLjNHszpP0c3oRQwqaUcPn7U0memPBRVV6xzeN1O8ewUZKxYVKxx2gQF0d8pn2H/z324nIplN9v+xbJBh/mbJ2BuTLeeOq/+P6x4P/9nfCCK5euz9f3fofZ8rZ+txGGFAouFF0oeuW/LgxOgy8WxViCUYWvPVUgIT7xGEEPy4ZkHDob4TqrnyN5KNkO3xlJ8/BkCSkVUc8jKzZjDduYbewET5nqcUnmp2ksTvONYzM4iRjxuI2KMFSI4eDRk8hzKic4mmfH7CC7FLalALzy5wwTAtcOBVbPV/e+kpK9uNX2nQy+s7SRuBKF5ktCy24E+ZbLwwuLUErvWvaShfr1wz/2YorTV3B60uPBr9zBju98gt1Av3tmm2d/1bThSN8IXBsYydWGAkDftMfUeAl7NsuJgal5xkOFapn9XSkOJEuUfv0d/EzzPWcuqnSEMwADXP3o0zxVVpHL90BLVzDzMFsA1w9eqgB+ochlz55JJ1N+P83phAslDzwFe3SEnWOBwZQrwf3PCpPawCRJJmhgXNKMSyNTfpzRnjhxdxIZO8Ef96XQbA9FsSlgM5H3KGDjOincVCfu3tFgQWNzB/80cpxiYYLJAz9CLtVOamcPpZiD+B7ilaf8vBJOKUvC89nZ6uDkZpgeGKWYSDMxOk06P0nuRRmmUq14Vow/smxKAydxfJdErp/mmcM0uSViXVcjPTaNFzVgeyVO5Pq4ddzmVNahYCWYyeWYSDQRny3R4OZI78rSUMqSyQ3yl08O4ZMkVizQkyzxnBaXnubA6EnmZsmUIF2qvZ3Sj7cy2/nC8Aa+FTeGxDogGsELm4i8CvgkgSvPrwDvVNUlPeBYmW5NXfKjwchEyDn7xOTjFBv3LTtXVr1u4W2vDuZRf/8j/8j1se/VvP5ud/Fedadn/5whAvCczgb6Dz/EUCFO444zvf/XXdrBqw8GPaPh6QJj00WOTwcWeGVv8WXf+AxXP/Dn7LOHauZ/fAQ+X3YxkojBL79kyVvjCw/DkXIy1++FG5dYpD5bgL/47pnvb74GnBjkS0EDVyh/8iU4MWFzbLaBgpMk0eDQ2QhZz2VyZpKcCp7YFBLt5DMXMCWNuFaMwuwMs/E0+a69lEYehvHDFEUoWjGKqXaKVgzfsoMtZKUi2rKL/IEfxXGLxL0CjlsgUcrRcPpJACb2XsPIxDgqFrFcP+mRu7BLQe+olOiimLmw7gYg4RbozI2wzR1hW+EUVkMXCS0RV5cELnF18RUeKnZStOM81X6QYg1jwsmeQq1EKB8VAImpJ4N54vLIRP7OjzygqteGSmwFwuhk074by+ULNzLRMP7gij5QKjr5htdfAQSjBM5XfnPJ62vp5I7rrqe7O4NfyDL9+HeYffr7FAaP47zoV7C2XVxzVHChcbG/K8WFTRb9N+znZ55/5oVfcMGVGJ5Y+BLjSb+bkea9WB1d5C2LaY0xrAmeOfwQuYGj2HaC+AXXYDVuw021IL5PYWSE9pSgCKn2JkaOPUXx9H24qrgiaLoZP5GmIAlmJcE4MWa6fqjm/ScmHyc1ei+CjyKUGnqQdCtYMbxcDiwbN94+t63XKk7Q1P9VLC9oc3wrjloOYJVHMy0UmfsfEXIth+DCl8/Ld7mFqU72NOmhb2OVnYRNXPAT9RnZfonMwNdx8v14sQxT3a+bm54V9Um6BZJujph65O0k+ViipnEPgbOxXNs1q897XjmKxGdOUGy6cO7QOuvk/b/1n0/XXdhbfulN9B157JxZxBXamBCRVuAZAj/gdxDshe1V1fctJWNlurXx1R8JfOnHzgxLVT/AYbdwdVStWYBgROLl5bnVO37v3UvKLUWtUQun/15K01OU0nsWlbdjwcrzaq76hw/xbu8OLu0OXt75Unl9IMHf/hmLLw1sZzbVyiwO17dOMFq0mfQTTOZcwCdu5XFKUxzXnUzShKC02Tk6GuMU7QQzdopxK82EnSFrJznj2EuR/segMMhUy+XkE60U7TgFO0HBDmQ9a8Hwu3okpp4iPnMML95KsfE5yxt/qiQmHiE5/TSzHTeEnsKan6ZPfPoIsfwQXqK9vF4hnF6Jl0e8/FnbtSFeft4w7Ho1XGF00m7bq40v/gAaX/6lUGun00rXVtYnVK59w+uvYH9Xim88MrCsIbEUcwaGKompJ0mN3YsfSzO147WL1gztuO76+WWKj1N6+EsUku203vBmOp95kFJDY/BJZiglU7BADyplL/UexS4M0zD+EPHsKXJNlwaL/2IpvHjr0tuOy14qk5OPg/p4TivZzhtWZbSJm6Vh7H5ihRFyrVdSaty3CpkcqZE7iRXHmer+4cWLktcCL0/j8PdQsZntekn9OumXSMw8Q2L6aWY7XoCXaF/7Mq6CjdJJ2DrGRJRpjjcAP1DV2wBE5P8S9ISWbLgASn1HEfWXXfyysOGqMNI3gj1xDK+xB2KJeddWv8grjdc/fO0Iux/8+KpvqJq5UYzBqtEMC2gGqHIjWz5/d+8L6V+QhtOzH2v6WWaGjvKo28rkaAN9O99ELp5BRRBVnJ59ZAdOQcuZZ2aehxJVEtNP0TD2A7z4PmY7b8SPt67qHsQv0th/O447CDbMJuIUmpYPqiTuLE39X8Uuu4COFceJl93mTu5806K5Sas0RePgt4gVg7US6dG78SfKjVhVQ+M5zWQ7blhVuSFwgZ2cfIxYaWJuwVfd0wXqkZx4hOTEoxSaLiLXdm2o3ncsP4haTjCsGgJRF1V/I7b/hdLJWoGyqncn1TKU5wyF3mHs8cN4bRfN09vqNUSVNRAnBqb44pcf5prBvwt1c/NGFtuhmLmA6elpDsbvx7Lm1+3d9535Pz59hPzwd+fM6/EH/pNj5W/5pkvIt16xfMa+S2L6KE4ucBsez52eGwHItV6FxpcwJsRC7Qbs4hiWX8QpDBHPnpx7DlRsJnf9xCKxWK6fzMDtwQ4OID1yF4zes+i6UmrnnAdQuzAWrJ9yg0Gopv6v4FvJKmfBwtyXsl7mmy8N1mutEmf2FKmRu7C9YOQ16z2v7p1l4peI5YeCNQ8RArQlpp4KFl6GQTXQydC5G2oRxZhY6P/7MWCbiDSWg47UxHZnEL+Ia9ceMi71Hp2bL62FXxjFmy7O7eaoXDuyYEvmI/cfD91ohaHmFErZ0HAP7GVodBTXdTmYegS7epHf6N3grJB4G/gtO5meniaTfGRRw7kc3s5GJiZcpqamuKjhFA2xxes65hED94J2JiZsZmdn2bFjB/G5xvK+mtfntqUYG8uTz+fp6UrjOA4LR7we9utzO+wmOsm3Xkly/CFEPUqpnXN1XGsIvDYWbnI7bnJorvGHJX6rKham7zktaARDwCpNg+9uxMhI3TqppQIcu4tSZn9NY6eijwsN5Wr8/Bhebr7eLry+v/cou2PfI+TAdE3i8Tjt7bV7tvN+41bIN+xidHQUx3Ho7Oys2ho+BSz/PACwHUrtu5iamqKlpaVKh1eIGdMIhQt2MDo6iud5dHd3Y1lWVf418s5AId7D2NgYvu+zY8eOZXS+LB+D3I4WRkc9SqUSu3Y0Y9v2Ij0E5o49RH3TdqVUT6CTE4+gdhK14lwf+14d+hh4ky2mLsAqTSJV8UDq1clSamddZZ9fCJdYfpBiY2P4NAyLiDLN8SngpKp+tOpYCditqn1Vx6p9ix8EDocvbt10cMbVgyHA1EltNrJeDgDfV9VXr2Wi54BOmmevNqZearOR9bJbVVe3v7lOzDTHykxQ5f9bROLl9Ob5AF+Nb/H1QkTuX695sHMVUye1OU/qZVPr5HlSx2uOqZfamHo5t4gyifsU8/1/XwwcKfsINxgMG4/RSYPBcFaIYkzcBrxQRF5YXkX+u8Bn1qZYYKYSRQAAIABJREFUBoMhBEYnDQbDWSG0MaGqo8DbgX8g2N4wBPzeGpVrrTgr0yubHFMntTnn6+Uc0Mlzvo7XCVMvtTH1cg4RyWmVwWAwGAyGpdkqCzDPQtxbg8FgMBgM5xPGmDAYDAaDwRCJTW9MiMjbReSEiMyIyB0iclBEOkXkNhGZFJFhEfljkSDwgYjsFZE7RSQnIveIyMXl42kRuV1EhkTkLeVjPyMivoi4Cz5Pnc17Xg0i8l4R6ReRKRH5sojskIBPlOulT0TeU3X9eV8vS9RJSkT+vnxsoPysOOXrz/s6WWuMPtbG6GNtjE5uHTa1MSEiB4A/A34B6AS+Bvwz8GGCPfXbgSuBlwE3l8X+gSAuwTbgc8Bny8ffCvwTcCHwM1XZ3K6qsQWfkH5aNwYRuQz4beCNBAGdpoGPEcRkeDlwCfAq4KMiclVZ7Lyul2Xq5IPARQR1ciXwXOAXy2LndZ2sNUYfa2P0sTZGJ7cWm9qYAF4KfFtVv1reK/8HwBWAS1B2i8DhvA2Micgu4Crgw6o6BfwhsEdELqq6bsPDrq8DLwK+rKr3lN0k/xNwKYHCfUxVe1X1UQJFfPMWqZel6uQVwMdV9bSqDgB/A7xsi9TJWmP0sTZGH2tjdHILsdmNiduAX676fg2QJegJvYQgBNSzQC9BQKMrgCdVtQCgqj6BI5/9wKcJektPAH+9QeVfLz4FvAtARNoJ7usuFsdmeJzg3rdCvSxVJz8H3F513bVAH1ujTtYao4+1MfpYG6OTW4hNbUyo6qCqngAQkZuALxEMkX0CuAdoIRgu200wTNYETC5IZhpoUtUZVX2Zqnap6r9VnX+FiOQXfD6wvncWDVUtqWpRRN5F4Lv+jQTDzQvvf7p87Lyvl6XqRFUfV9Xp8pzrnwI/Cvw+W6BO1hqjj7Ux+lgbo5Nbi00/ZCQiHQTDYNcA71TVL4rI7wHPV9VJYLL8QL4K+CuqYhOUSbEgNsECvq5rHHBpo1DVT4nIpwms/9sIeobV91+59wm2SL0srBMR2QG8EPh74FHgalU9LSKXsEXqZC0x+rg0Rh9rY3Rya7CpRyZEJA3cCYwCF6nqF8unsgsuLQGzBNEPLxYJYimX/x4EHtmYEm8MIvIbIvJWgPLc9V8AbcBp5sdmuAR4mC1QL8vUyY8Cnwd+XVVfp6qnyyLnfZ2sNUYfa2P0sTZGJ7cWm9qYIJgj61fVd5QX8FT4EvBbItIiIrsJVpd/XlWPAk8D/01EGoAPAY+pau+Gl3x9GQY+KCL7RCQJfIDAwv8z4AMi0iYizyOov3/bIvWyVJ38KvB+Vf2X6ou3SJ2sNUYfa2P0sTZGJ7cQm92YOAT80MJ9xMBHCObSniHoKX1WVT9Xlnkb8OPAGMEWtbevkMcrF6YvIiPrcztrxt8CXydYzDRIsGr6JoIFTw8BJwm2Vb1PVY+UZc73elmqTg4Bf73gPr5Zljnf62StMfpYG6OPtTE6uYUwsTkMBoPBYFgn5ByKzSEiTcAB4BlVnahHdrOPTBgMBoPBYFhnRORNwN3ArwP3icjNK4jMY9Pv5jAYDAaDwbDufIxgV9aIiOwEHiBwNLYqzMiEwWAwGAxbDBH5lIhcV3XoWQJPpAkCL6XP1pOeMSYMBoPBYNh6/CLwPBH587KPj7cCbwB+QOAn5sfrScxMcxgMBoPBsMVQ1RLwSRFJAe8lCMb2GxUvt/VijAmDwWAwGLYYImIDP13++odAI/D+so+PPyoHYVs1xpgwGAwGg2Hr8fdAofz/S1X1bcD/EZEuAsdhRVX9zdUmZowJg8FgMBi2Hq8FthOEd++vHFTVIQLPpbvqScwYEwaDwWAwbD3uAf5n+f97F55U1VP1JGZ2cxgMBoPBsPW4mWBAwQF+KmpiZmTCYDAYDIYthqqOA6teE7ESZmTCYDAYDAZDJM6KMSEivyoib17hmttEpGWV6e0RkfzalG4uTRGRkyKyfZXX62qvXStEpFFExhYce46I3CEiORF5RkTeuZFlMpybVOukiHy+/PxcIyK31pHGz4jI19a4XPtE5MlVXvtiEXlqLfNfZb4vW3jfIvLjInJcRGbL+njRRpfLYNhINtyYKEclextBSN7l+DvWcAimHkTkx4F/BepazbpelPcDV3+Pi8hbgS8AqQWX/x3wGMEq3R8Dfl9ErtyQghrOSWro5I8CV6rqA8AJEXnDWShTs4i8A/g3gtXmZ5WFOlg+tkNEfhH4qwXH24G/Bn4J6ADuIwhHbjCct5yNkYl3AbepqgdzVv0jIjIjIv8qIm3l674MvKmsmIsQkXeJyKCIjAK/UHXcEpE/EZFREZks97KaROQiEcmLSLrq2tMi8tIayb8UmAxxb+8UkSERGSs3MpV83iYiR0RkXEQ+LSKt5eN/LyIfrLpu7ruInBCR/yUig8C1C/JJAi8GhhfUSRK4EfhNVZ1U1QeBr5Xvx2BYijmdFJGj5WOPi8hzCF6KH6olVNa1Py/r7lHghqpznSLy1fK5ARH5nfLx94jInVXXHSiPgqQXJN9eTq8uxzlApUyz5ZGBG8r5xETk4yLSLyK9IvKbIiLlcydE5PqqMp0QkevLI54DIvJRFuhamZ3A1UDvguPPAx5S1f9Q1RzBfv5L67wPw3nE0aFs3Z+C65/tYtfF2TAmbgK+BSBBZLLPAO8hUMwcgScuysbGvQQ+wuchIvuBj5fTeg5wSdXp1xC8aC8CdgOdwNtV9SngOPDychpXEryUv7swfVX9BVX9uRD3dhVBLPifAv6gPIJwPUE0th8H9gEu8MlVpvdS4GJVvWdB+abK5fvggutd4LmqOgpBAwpcCfSFuBfD1mFOJ1V1f/nYTlV9RlUfBy4Qke4acm8HXkCgf6+mrFtl/jswSNAzfwHwCyJyOcFo2nOrOg2vA25X1dnqhFX1WPkZ/3id93IAOFHO9zPAh8vHf53gJX9luTw3AavR8S6CheqL7l9V7yuX8e8WnLqdcrslIhngZ4G76rwPg+GcYkONCRGxgOuAx8uHbgY+p6p3qeoE8FvAG6tEHqGqt1PFm8tyd5blPlx17l7g9cAUsA3IE/RyAG4laLwo//2SqrqRb+wMv1seEfgawXabLuBngFtU9aHy6tnfAH600itagT9Q1bGVLwtQVVdV74dgHQlBozYNfL6uuzBsGWroZC0epbYe/hTwcVU9papHgb+oOvcXwPsJ9KAZKALtqtoP3E9gfECgh/8e6SbmM1UuUw74D2BP+fjbgf+jqoPl2AMfIzAoVsOHVXXVa7LKepgXkVcSjHC+H/j/VytvMJyLbPTIRHs5z8oUwm7g3eXphzzwFJApD9cDjFGjR0AwilHtUKO6590EfBp4gmCUo7Xq3K0EIxcQeP9ay0YMqryIAR5Bj2Y3cLTq+DDBiEimhvzC32MiTCFE5FeAh4EHCdyklsKkY9gSLNTJWoTRwwuB75c/v8b8dQ+3Aq8VkUbg+cCX6i/2kgyoqpb/r+gg1NbDriXSqNbDoqpmwxREVW8n0PWfAP5RNniBtsGwkWy0MVFR7ErDMgR8QlWTqpok6ME8r6oXoECtiaNB5i+OrP7/w8BdqvocVX098EzVuUqv/SXAZcDXo9xMDbTGsWGCRrfCAWBCVacI7q36N1iqcVs15fndXwJerKq/Vu6hGQxLsVAnaxFGD/8GeJ+qXqaqNy+Qv5VgZOKVwN31jL6tglo6CLX18ET5/zk9LC+0rLlOa7WIyDtE5NcBVLWoqp8DRoCeKOkaDJuZjTYmhgmmHSqjBZ8HflJELi4vwPpDzrj3pHzdYI10Pg/cJCLPl2D76G9UnYsBCRFJisjrCeYuHRGRco/lC8AfAV+rZ+gyAv8GvEdELimX9bc4M+R5mvLiShE5ALwoSkblnt77gdeWF18aDCuxUCdrsZQefg74NRHpKT+/76o6FwNS5V0Z/53AUE4AlKdEBgh2a23UFNy/Ab8pIu0ishf4FeAfyufm9BD4SRbvkKqX0wTRF68or5t6G0Fb+0TEdA2GTcuGGhPl9Qn3ApeXvz9KsIjwywSjFLuBX6wSuQy4u0Y6jxIMnX4OOAz8Z9XpjwCvAEYJ5nTfS/CCPVQ+fytwBcHWz7oorwD/Zj0yqvol4E8J1i+cJugFVVbH/wnQIsHe+E8Sfbj3IoKG8LCIuFWfs7LF1rD5WaiTS1BTD4G/BL5HsN7iC5x5OQP8MsG6iaMEz+THgX+sOn9rOd26pxpF5JshnunfJJiGOUIQk+Czqnpb+dwHCKZbHyVYvP1YvWWqpjy98acE7doo8G7gDWaU0HA+I2emFzcoQ5EPAM2qWnO7WdV1FoGh8HxVHVnD/HcQ9BB21DsyUV40+amQOz0Mhk3JcjopIgeBT6vqdWuc51uAt6nqa1a8eLHspcCrVfUP17JMBsN6ICL33/yPD11Tr9xXP/QWRo8/cdZ9rKyWVY1MiMjby3uvZyTw5nZQAj4hgS+HPhF5zyrz/Gvg9eVti8vxWoKpiLU0JNLAOwl6JWGmOH6cYLjUYDhrrLE+wvI6+S7g/65NyQPK030/zeItlavlJ4B/WbsSGQyGqKxoTJTnQv+MwDFUJ4ETpH8G3kGwr/wSgnUJHxWRq1ZKr7yV868I5iaX413M3/K5FtwKvBX4/TDCqvqvqvqfK19pMKwPa62PsLROikgzcKmqrvW6hoojqlC7qVT1t1T19BqWx2AwRGTFaQ4R+Xng9ar6w+XvDlAA7gD+RlU/XT7+p8Csqi50pGQwGNYIo48Gw7nFVpnmWE0I8tuYv8DxGiBLsKCxesfA48z3gAeAiLybYAESWM41kuoIW1YcG1IOTBfAr3Ophwg0xsHzIRvB64JjQ8kLL28IhyX1/+abFZ3pnwK+r6qvXvHixUTSR1hbnVwL4jYkYjBTWHpfp8GwnuhM/4iqdp7tcpzLrGhMqOrcljARuYlgBfcHCbZXVju6mSZwGLVQ/hbgFgAr062JK6OtXcwTuNQLQ7H8NxGpBNHlDVub/J0fORLSkIisj+U01lQn14IiED/bhTBsWfJ3fuTk2S7Duc5qF2B2iMgXgD8G3qmqnyTwzthQdVkKGF/7IhoMhmqMPhoMhs3GahZgpoE7CfZLX6SqXyyfeopgn3iFSwhcOBsMhnXC6KPBYNiMrGbNxM1Av6q+Y8HxfwI+ICJ3ELimvZkgGp/BYFg/jD4aDIZNx2qMiUPAD4nIwuiazyHwmneSYIj1fap6ZI3LZzAY5mP00WAwbDpWnOZQ1feqqqWqsQWfk6r6S6qaUdULVPUzG1Fgg2ErY/TRYDBsRjY60JfBYDAYDIbzDGNMGAwGg8FgiIQxJgwGw9lH/VBi4uXAX7h8xGAwbDQbbkzEcgNBAxBavg/84soXLkSVxOQTpIe+AxrOhWV8+kiQfwis0jTpwW9jlaZCyQPEsr0QNsqrX8QuhI+ZJm4WqzgRWt7OD4f73crE8oNIWHnVoO5CYhXHsUrToeWd7KnQL8uNwJk9Ff65ApzZ8P5+nOwpmp/9fN1tgl0cp+n0rTQ/+zni2VPhMvdLwW8TFt8llh9Y+bolsIqToZ8rcbMkpp6K9FyFbcsgMOLswmhoeTs/jHiFcMKqJCYeC19+9UlMPBbpPWRYzIYbEyp2JAVQO0mYYlvuNLHCCJaXD52/m+gq518/4hdQK4ZE6UVZq9l8s4Sol0dCGlEBEV3Ei0RKQ8VCwz6u6mKXxsEP6UddYsFzGxLfThG5/tYRP5aKKJ8OLVtKbiffdDFaZxpevJVc69WoncSNt4bK2/Ly4Efzja+Efy4QQSXcM612Et9KEO25iigbsuwAWHa5TQibuwadi1BGsKJ2IpJOGxYT/u0UEi8Zzf25F28LJec7Tcx2vSh4+EI+xH68OZQcgJfoINv5wtDyAG5yW2hZ32nCd2p6V14VGmtA5zlYrA8vES3+g5eI8NxYDoXmy1a+bgl8JxM+b6Lf+3oT/beJIG/FKTRfEkq0lN7NZENPaCPbdzLRflsrFqk9i6KPiEWpcW94ecBt2BFaVu0kXsiOFYRvxwEQId9yeQR5m2LmQHh5Q0223pqJCNawwWDYZEQYrTMYDGvH1jMmDAaDwWAwrCnGmDAYDAaDwRAJY0wYDAaDwWCIhDEmDAaDwWAwRMIYEwaDwWAwGCJhjAmDwWAwGAyRMMaEwWAwGAyGSBhjog6s4kRoV9xrwiZ2ybzpieAu2rCOqB/JrXFol8xz+Z/F50J981yGJWo8FtOWrjkbbkzEp57GLoyFlk9MPh6p8UmO/yC0bKwwRHLy8dDyzuyJ0PExYrl+Mv1fDa9EqjSMhb93uzCCM3sitHxi6knEnQ0tn5x4GHGzoWTFK5Dp/0rouChWcZxEhN89Pn0kUhyD9SY5/mCEQFt5khOPhM7byfURDxnbI5bro6nvS1ilyXDy+UHSw3eEfqHHp58mPv10KFnxcjT1fgm7GL4tDH638J2bhrH7Q8uKVyjnH7Lupg6Hj3ejSnr4u0H5Q+QvXoGm3i8Qyw+Gy99Qkw13H1dKX4BaidDyheZLcXr2n0mv92hd8vmWK0PnXWw8AITvSZTSe0LLuolOsh3PD+/xT4Rc29Wh8/cSHZHcJheaLg4tC5BvPhTae6lacWa6XoqGjEHhOy0UnJZQsgDFxv2b2vNqvuXK8HUrFrr3RhgPZ6iVGnpCyQF48XZmO27At8O5eXeT2/CcltD3XmzcH/plrnYD0zteiYoTSh4g33pVaFmAXNu1oWXVTkR6bopNB0PnHbjTPoTnNIXKX604M9teHtlNvmE+G25MaEjFr1BtSNT6vqJxESU4TcRgVZGwYtH82Z/rRHkZi4Q2JCLnvRby603I8lV0zwecVFfNa1bWxwjB3+wEbkN3aPlKGqERK1J7ErUtPOucxec6UjwYEWNIrAPnnGP7ju7FD9FI35mpg0oDV++IhcFgqJ+F+litixDoYxRdNPpsMJwbnFPGRKVh6e4+Y1X29U3Pa9AqjZlphAyG9cPp2T+ndxV9XEkXYb4+RjU0DAbD5uGc383R3Z2Z+0DQU6pu0Jye/YumQgwGw9pQbdhX/w+LdRHOGBYL/9bC6K3BcO5wzhsT1SxnVBgMhvWn2rhfzsBfiZXWRq1GxmAwbBznjDFRPaxaYc/2pkUfmN9DqsistjGq/hgMhsXUoxsLjYql0lsqzXo7BbWMEKPPhvMVEXm7iJwQkRkRuUNEDkrAJ0RkUkT6ROQ9G1GWc8aYWEjFcNjflZr7VB+vbsRWYqnGxjRABsPqqGXY1zLwK4bBaqZAljq/EktNoRh9NpxPiMgB4M+AXwA6ga8B/wy8A3g5cAnwKuCjIhJtH/EqOGeNieWoNGAQNGLVoxMLeyqmgTEYonNiYGU/EyuNUKxEvYs1zeJOw3nOS4Fvq+pXVTUH/AFwBfBW4GOq2quqjwKfBd683oXZVLs5VvIZMdI3sqghOjqUZX9XiqNDy3tH7OjuqLltbTlMY2TYyqzHjqju7gx9fWc8Hy7Uy7Uw7qvLa3TYcB5zG/CfVd+vAbLAIeDBquOPE4xUrCubxphYzYvd6dk/r+GpHoFYSPU5v5in74nHaS2OMTPUR6n7hhU9SS7ZCPlueC+UBsM5QrU+LtzCuVAXV5pO3LO9qebIhT92Ep3shcSFNeVqdR42HepHc4Rn2BKsZuRuIYWSh4i8G3h31eFbVPUWAFWd8wcuIjcBfwl8EPgjoNrH/DSw9MtyjdhQLRAnQaK1iUQmHnp1dmzkMbQ4P8bDSqMSYtnEjt+Oe8/f0DD5JPb0s8tev5QhYRUnaJh4aIVSL00s1x8ECwuBnR8iNfL90DEUrNIUTsgYCBDceyzXH1remT2BuOFjqiSmngwtK16B+MwzoeVj+cFIMRSc2VPEcgOh5deb+PTRec/VUuuHaq0t0sI02WMPrJhHtXHfEZ+g+K2PU/r6R3Hv/TskOxy67HZxDMudAQK9rXckIjH1VKh8reIEmb6vhI9Loh4No/dE0on49JFIsTmi6JRVmiKWPR1a3sk+G6k9S0w+gRM2f79EevBb50RsDlW9RVWvrfrcUn1eRDpE5AvAHwPvVNVPAhNAtXvVFDC+3mXd8C62H29CnDRQ33avSiPhZS6AWLKuPCXm0PX6/8apf/kokmyi5cIrEdtZNO1RnU/NsjtN5CLE9vDibajYoWR9pxk30Rk6b99pQq14ePlYYyT3v26iC7Xr+92qKaZ2hZZVK04puSO0vBdvRSO4UffirfixdGj59UScBOx+LowFxlK9Rr7mphgrBq3VanHad2IfeAludgwKM7CCS+taejqXP1akCJLF1AWh5HynmXzz5YiWwmUsNsXMhZFcUpcauiFkewLRdMqPpSO1J16sEa/5stCjOl68FTfRHi5zsSg27sdN1HYBf64gImngTuAu4CJVnSmfegq4DDhS/n4J8PB6l2dDjYmYE6Nj106gdgNRy3tehUoDpolmxKpPgSrDrM4LfwXEQuzawXVWFdcjki/+8HEA1E5QzESbT47yMseKoREel0ixMQCN8jKOGJsjSqMJbPo4ANrQhtOzOO7LcvpYwWo5E6jrxMDUslOPFUQE+4JrsbqvgPwUOrl08LxKvkvpph8PH4ANIjxXIpTS4V/GELwQoxBJJ6LKi43a4Q0ZP+K9uw3hOweIHfm32yTcDPSr6jsWHP8n4AMicgdwoHzdC9a7MGdtsm/h1rCFc6PLzZWO9I3MW8S1Wnp2d9KzK6Q1azCch8ScxQZirW2ba712obs7g9gOkjb6aDCE5BDwQyLiVn+ArwIPASeBzwHvU9UjyyW0FqzamBCR74nI9eX/QznFcOL2Iv8PyzmlWakBC7OoBWpvUTOrvg3nGmuhk8CyRv1S14Wh2u/ESulW1j+EWQdhMGwFVPW9qmqpamzB56Sq/pKqZlT1AlX9zEaUZ8VxaxF5FfAm4Maqw9VOMdqAb4vIPar6YI0kFhFmVMFgMASsh06eTRZOoRjjwWA491jNJPiN5etmqo7NOcUAekWk4hRj2YarVPQWGRLLLa6qmUaNLaKw/DbRpVhpPtZg2KSsmU7CfB2s/L9SaPFax7u7M0uum1jtegqDwXBusqIxoaofAhCRaqcXq3aKUb1PVlLtdRsPsPhlX2ufe2XKYzUNlhkZMZzLrLVO1loWvJKeVnSysjB6oS5W62FFN41BYTCcv4Rdnt/EKp1ilPfF3gJgt+1dtGw77KhAxaCAwDiorIOot8EyoxKG84TIOlmtUwv/X4rqcxXzo9qgWLiuaaV1TkYfDYZzk7DGRCinGFoqrGljUeo9ygjhFmqGGSExGDYxkRzVVPQyiivqij7C/NFCg8Fw/hPWmDgrTjFqUd2AwcqNWPUUh+kFGc4jQunkWhv4q6Wih9VGvdFHg+HcJayfiYpTjDYReR6BU4x/W7ti1U+lUVpqPYSqku8/gmbHGekN777XYNikbAqdLPUenfMDs5q1Sfbok1izm9fVuMFgWB1hjYlPEdIphngFxF0+lsaSqEdi8nHwi/MOL+zR1GrE+vtnGLz3dkp3/SVSmll0flX4buDPXpf22LccVmkS8cL54rcLYyQnHg7tyx6IFB9C3FzouCIAdmEU/JCuhwniY4hXCCfsu9iF8NNaVmmK+Myx0L+7nR/GKq37ot/QOmkVJ0LfWyzXT3zq8KLjyxn3lWPesTtpeOIfkVKW0unFaawGZ+Y4qZG7Q8WoEK9ALNsbKt9YboDGgdtJjd4dqu7Ey5Ec/0EknYrlB6O1BxFiU4hXiNYeFMcWteOrRrUcm2P5GEtLIX6RhrH7gzbJsGas2phQ1T2qenf5fy+sUwzx81ju7MoX1hS28Z1mkMWzM5UeUYVKg1XdQ4pd/iZmt70AjWfCDamKXfaHH86fvqgXWvnP+MIP6ctfNVJQIFCEcC8cAFE3kryKhVq13aCvQhqJYMgE8gUg3G8X5XdfjrXSyVhxDML8NuoRKwxj+fl5h5cz7iv/a3aM3LH78Rs6iT/7LcL2ayy/gFoxrBAdFLWc0M+Um+zEd5rwYplQ7YFayeATwcV+1Gcqkk6oj2j4mCj4LhLSgK3Ud1g394qF+G6E9sRQi40P9OU0Q4TfsJTauez56rDFC3tFkszgtV8SPnORoPwh8eKL4x+sFrUTFJouDi2PCG6qZ+Xrlso/lsKrK5zTfNzkttCyAF6EIGdYTiRf/r7TTCHC7+42bA8tuxEUG/eFExSbfMuhJU8vq4upNvKXvBWItlai0HRRaFnEwkuGDPYkNtn26yPkLRSaI7RFRIxPwcpt6XJorAEvFj7wX+h6LxOp7qwY2Y4Iv52hJmctNsd6UGmUVnKwYxZ6GQzry2p10WAwnB+cV8bEcpjGy2A4OyzUPbODw2A4/9jwaY71Zil329XnDQbD+lPt+MoY8wbD+c2WGZkwGAwbz2q9ZxoMhnOb89KYWKqRMo2XwbDxGL0zGM5/zktjAoIGLIprYIPBsHbUCtZnMBjOH867NRMLMY2WwbA5MLpoMJy/nLcjE7WIzzyDnR8K7e3PYDCsHXZhhPTQdzfCO6jBYFhntpQxIX6R1Ni9WKXJlS82GAzrg++SHvoOzb1fIDFzBPHyK8sYNh+mU2ao4twzJiK4hC6m95Ftvx4/3hJKPpbrC+0PHghikoT0R2/nh2gYuw/88C5srWJ4I0r8IhLWDTqVew9f9vjMM+FjCaiHkz0dOraH5c4EsQTOV6K8FNTHKtUZatyKkW27jnzzpfjiLHLHXQ/xqcOhn0vLncGZPRVKVtxZUsP/RXL8oVDyQPmZDBerB8Aqjof/7VRxZo7X/9uVieUHaDp9a+iYN7HsaeIzz4TTSd8lNfJ9nNkTxqDZRGy4MWHnh3FmT4aWT0wfCa2AaifwEh2h8/bibZQiuIW23WmskGX3Eu34sSYQO1zmqsQK4aOlilcIFf+ggl2aID57IpywKpY7i2+HdOetPk72WTRsTBW/GAR4C2kMJccfjBgXZX2en1XrAAAgAElEQVRpGH8gdKOcmD5MYrr+tRAaS5Ntv56JPTdTSl0QKm+AYuYAGkuHklWsYFQkxL1bfgHREqJ+6LpTBA2rz4BdmiRsvBhQYsXx0Plb7iyWO0NT31eCqeM6EXVxsr2oFW7Znng5GsZ/gF0MYcz4RZITj4TK17A0G74A00t2EqVZjeSLPyJqJyPJR4pPITaFpoMR5IViZn9ocd/JgJMJLe82dIeWRWTZGBArYjlkO54fWtyLt5HteEFo+XzrVaFlN4Jc27WhZSPFi4HwxvGcfPj+kMZSFJsuDCXrxduY7XpxYEiENFKjxMoBKKX3hBcWi1zb1aHF3Xg7s10vxk1uCxWsrJTaTSm1O1zdWTFybdfhxxpDysejtSeGmpz3uzkMBoNh3QhpSJzr+PGW0NPFQOR68yN0bAzrw7m3ZsJgMBgMBsOmwhgTBoPBYDAYImGMCYPBYDAYDJEwxoTBYDAYDIZIbC1jQpXE1JPnt88Ag+Ecws4PkRz/AbFc/9kuisFgiMDWMiYAy83i2+H2pRsMhrVFrTiJmWOhthcaDIbNw9YyJkTItV0TuuGK5fojecA0YDzWGebhx1uY7HkjXrxt0TmnZwW/KOWRRjSs46Y1IJL3UD27Za+mnvtQNXpsWITxM7FK7PwQjQNfJ99yKLzHPr8YOOkJ4ahHvDzxmaMUmi4Nt0dbPeziBF6ivX5ZAN9F1A3vuEt9ElNPkpx6kmzrNYHDndXchyqWO4VdnKSU3hUub8AqTZEe/i7F9L7A+Vc9v0EEx0SGpVnRWFhwzcKoo7FcLw3jD6HYFJsunLt21dFJ/RJOfpBSaufqC10mPnOMhrEH8OJtzGx7SV3Os8TLkZh+msTUYQqZA+Rbrgz1fIk7G9r7JwB+4MHTLo6SHvouxcwB8s2XLdvZiuX6aBh7ALWTzHS9BEJ6sKxgFSdIjd1HvvnSuhzbxbKn8RKdZkRrE7Hx7rQLY5HmRxOTj0fyZ+/07Mfp2U+8s4vUyF0kpp7Czg+v6O7YS3YxsefmSF4oY4UR7JC+8NVO4iU6Q+cdxLYYCC0fxKcYDy1vlyZJjd6DXZokM/QtUqN3r7p3E589Ue6Bhvedmh6+Eyc/SHr0+zT1frGuZ8gujZOceDR03s7sSezC5l2nk5h8InwPWZWGsQfqFlvOkLDHniJ+8htYM32072ino7u2C3xRl9mO51NK716VYbKoDPmBoC0K0csupvdSauimmNpZtxdOy8vjZE9jubO4ye2hOwfxmeORRggaJh4l0/dlGge/ie3N0jDxEI2DX0eWiB/kzBwnM3A7TmGIePZU6NAAEMQJajn5WZp7byOePUVT/1dpHPzm6lzWq0dy6iky/V8NFyROfRpG7w0dq8dQm413p+00AeEVoNB8aSi5ucZGlbZ0AffIl9CpJ4M0Gw8w23njsr0gAMRG7YZ56a26F0REl9JEc8ddzIRzG1zBj7fgE97jnRdvZWbby0lMHybffNnqG1ER8i1XQNMlkVwvz3a8gMah71BM76bQdHFdPRov3lZzGH61uMntqBUPLb/eFBv3hXdLXZ46DEPFSNixoxFvepTi6LOMHH8G96kvIV6BxKlvkk69hZbn/ggAI8zXt4o76YoudnR3MNI3gtOzf1V6WUpdEH6UUYRsxw2hDAEv3sr0jtcSnz2OH3ZkQWwKLZeFky2Ta7uaXNvVWKVpUqN3U8gcWNbFdalxLxPJ7SQnH0WtRODOOiR+vJmJ3W/ByZ4mNXwnxcyF5JsuWt1Ih9jkWq8MdDLUcyt1twGGldn4aY6Iw2J1Z1eaxHKz2BMWGm+kqXgC9/DjWC0X4I2fpNhxJcW9r8EpK9BqGqRqo2O1DZcBSuld4acqLCdS3n68mamdPxIpjbBs9kYrasyZcJkq6hbp7mlm+F/+F5btkN62i+ambRQOXMfssR/Q9cr38CM3vYGjQ2cCzPX3Hl12FKKivxVqXbtm+hpl6kskMOLqYOG9LByxqb7v1VLqPYrvZJjZ/opVXa+xBnLtz607nyXzT+1kcteb667LKAEbETHuuNeBLbFmIjP0DaS/CKl2rNf9DrFLXguAfcVNJGyHymPV3Z1hz/YmTnRneOT+44tGH2op85zhcfow6dJxvOa9eK0H5lnMxthYfu7bsLVoGL2XhuN/R1F9xq56DZ1v/l327mieO39iYAq/lOeV1+zhYGeKg50pDnel+AYwUvUcVV6m3d2BBr/80PbA8Li6h7t+cMaoWPTSVcV66iu4ic661hAtZcREeZ5rpemeepRYboBSejeIhdOzf9697tneBMD+rjNRdCv3Xc2Jgam5axcer9BXVTdhjZGlWPXorVmPdF5w3hsTvtNMfv+baDj8L5AdxT/yLayDgRXec8GZoeuXH9rOwc4UezNpjk/PcvjQdr7xyMA8owLAHn0SqzDBjh1p/ON5WsanUDdPaeQU9vSzcPoOpLkH54W/jKSDhqqiovU2OmGmUlZKCyCuJTKao0lz2PiMSBMTVjDc2urP0KWTeNi4WJSwcX2P2LGvkk/3MLb9BWisgY7uDl46dQ97e++gxZ0gdcFB3GSGosSZijdxMr2Lx1our1mW08lZdPhpUskdDMfaKcqZUQdHXbr9cQRlUlLYO/egXgmx549MzDV8qrTrNBd4o3QPPYRl2UyQ5AG/mymCHvdOmaSTLJMkOKXNuESMVGmIRK7tGlKJIjp0mOlHv0XztT/MiQGZe/Ht2d7E/q7tvHpfJ22ZYHpobyZ4Pvv6pufS6e7O0NMk2L0P0ZWysB57kn1uCc91SaVyDHbl8F0XzT5BS0LwPQ/PdXl25jQnR/4LgIa9V+Fd/GNIpqum8VExVCrs2d4UhB2vQuWKed9PDEwR9wo0lyaJ+S6zsTSzsTQuglfIoqU8Pa0JNDdDMjdGKjtKOjdKqjBNojhNzn+Afx7KIk2dNF39et7Rdj/7Jk4gqiRLaRpHU+RKLr3Hn8a98lWcet5b2d+VIlGY5ob7/gbHzVOKNTDR3EMm8RyyzTvIp9soJZvAsuDSDr51x/cYPPIYN77sjZzOBrp1ojszV78L73vJ49WGmip27zPs9kYQfFpmv8d2q0iy3ad3PMft+V2kS1navSm+2P5FZtXhuLbweb2c2/yLmWFzj+AZlue8NiYsd4aUewprdAgv3kLu8nfSdsGZOdKKgtywwKLfm0mzN5MOekSHtgNwsDPoBdz1H+PkZtJ0t7SSbEgxJRbDRZtT/WM8deufQetedrzi7cTb568QH+kbwenei3/8PhALxQpGL8QitmMfiE2p/wSO+DxvW4xGiqSL99GoORrbC8TUozh6mju8Nk5oGtTn6sn7ubYhR8pJ0CA+yXiMhJsDlEkrze9nD4AqyYTNLYOfYp9M02PlSFvzG8NPDzbz2dFmXM/n1U3TvH/35OLKLK/9/Nlv3kox3oQF/I/9wxxIl0CA0w/Pu/xxfxv/Gr8ON54gYxd5c/YuxkmQkxjJqUEujBfJlBQP4f3X/hHpnl2obfNz3/sQ+4cfmUtndCbD0zMeyc6d5K96NU+86Oc5PDhN28QM7/h/7L15mBxXeej9e6uq9+nZR8tIshbLyJJteQUvYAzG2AYcCFsggS/kQvCX5OYmkAu5fB9LciE3ySUJ2W8SIAkhQEgwxoAdvLAZ4xXLsi0vkiVb6yzS7L13dVWd+0d1j3p6ema6q2dGI+n8nqefma6qs9Tpek+95z3vec89H6Ujc5yIV3akip0s/3+MvJKnJkK4YvL/9T7F9V3+iyLnCo/aq7nT2MkxOhhTMR4vrabdTjMS6607Sgqn92OWJsl3XtLydIsGQmu3YBoJXMPC3HQ1x6csJJXm6ccP0tvfS39/csaoG6A7GeaXLl43LYfgy+n46Anu2n8CZVtMmhaWFaItHmZVIs7ajnZM06I9EaErGcOyQlimycTEOH+y9wn61qzljW97C9G1a5gYGSW5Nk27PUlb4RkOrNpJKt7Hpm7FtS/dy5an7yCSHSeaHceqctxLmwk+2v12iq5L3nH4o/T3WOtliMpsh9avTHTxD8MJSp7HVedE+N3kwfoN1A5T6RgRx6P7kW/w5jVHOTdR39HwoW/t4if/+FWSnavZpCa5bvVzc7b737W/jqe6zqXoeax6/A5+Lpph8md/zc3bLmRLZ5yOI08Scos8dcFbuWfnJ9jWFyeaOs5V//4hjIlhooaiOBHnubEszsadrOrrY/eN/4WcGeaFoSne9vDnuHbyzrplD9oGX3vMbxMRWH+Df3wbk9zMIf7Gu5MHC2vJE+Ifjp9LJJviRLyPx9ZeMSsv8Wxi47uwExtb9kPTLB7LrkwY9hSi7MArEyKp57ETm6YdIefDMxMoFcOaehGAnqE76drybmL9axgcTDM6OEpvfy8PPTHAof4kB9a0s3VVbtpCsTmZ4PL+LvqSEQaOHeWpJ3dz1dYNvPw1N9ct78G33szhrPhKyIg/z1vp/NY/8z1KzzzM8RPfp92zSXgF2lSJpDi8dDjEPw10EnFK9EmRP09M1r+hOHxlj8mzYyYe8LqNDjf21ffCz9hg7zmE6bkYyuOaa6G9PDXuelB0oOT6//eNTfHaAV+B6C/CWI8/gDHEF3yz/NcQuDSdwXYzAByLwlQU8vbJ60MmxEJwdOI4yUG/Y+nvgM2vgM1V9wGQsyEaUlz05x9iqtxX5ndAqsd3Uo+FoIc0V0eB9As8d/t+Dv/hF2nzXKJRWPUKv1MvlCBVgHTBv5+IBdsPPEifX00MBcfL9WqPKV4bG+a1+Ctb9p4Q7nzKdwj+X1d9lIJV4z+gFF6onbaRnxBJHyC99qamnTGtwjCemVix87ThzEvYiU3BnNmUIjr5JIWuSxu6PNR/LpGXvosz+DAAYk+y9rJrGB5zp6cNRwdHGRxM8/1+/ze6YedJK8Vlazs5/PyTfOmLf8/mLZv57x/7FFs3f6xuWeNpf1VCxbrRl/RHvq5tc7HpsfOuT2Hc+1tE3AJGjQ75ry+1c2DYpZTPkzvHo+e8Wbft1z+XZevdX54+vvo6iIb95zBf8v+GTf+Z3DAywVuO+SuittjgXeLLYaHkf4oO2GW5vDCfp5jOw4nj7EnDSxG/TNM4+bEMGMs4XHj8RTj8IrEwPJgBx4Ww5ct7ewzaIhAPQfyeH7A18wPMRILrtxS4uMMFCnD8ITh+8t7WfP/LhP/0KxxWiqiheOv1M+99FcC+F2EfPPmFLzMyCqsdh8gWh0I/TOT8uhYdyBT9+8kUPQqhOCkrTsGK8ondRdos2B5Nc1lvgQ1diuvjgwCMDB1mNAv7O7fUVSZQLkoMkkPfo9BxEfnuK5p7dpUinDlQdjzWVsrFQtQyBh8xkv0qetH/4z8MVnzhBPVQXsMPTsW0v5FncLKTRNdv5+DhDMV0qe51FXr7e/nlm8+bVioAfnzPd/i7z36S9/6/v8OOG9/K/nH/RVa5pjsZnu68AB7YvYtNXR1cfNEOdn/o17j4+a9y/qr6L/5jE/D1x8t1MeAdl5/sVGwXSg64yn+pPzUAo+WX5KYe2NLrX1dRDJxyEZ6Cp46dLKN/TYzJcCdHrFVMhNrxxCKajOEZJsowMR0bcUtkC1ky40PI2osgHEchKDFQgm9REQMP8KYGkEQPdlsf8bW9iBis6oggjsMaySNT48jkOO2lDObUKG3ZYeJ2mrCTJ+NFGAl3c7xzM9GpE0RyKVTJgZKNOEX/hks24pTojkNb1O+Q00U4Xp7uNQS6E2UlItzBxJpNHHUVYx3nYYqFMTGM5TmYnkvOgFS0j7bUXl7mTXJdIsdFySxhCwYm4MGjIVLhJP9y4XuYjM5esRKd3IPhZCm0b8cLd8w6vxBGaQplRKcdMQs//cwupVSdXnL5MZL9KrbjHXjh4Ct1GpXJipz1rO2h7fhPGX/gqxjrL2fU2F7XMbvi3FzxGfjlm89javf3ue1v/wjP9ZcJX3TZlbzv03/NvpEcB07k2Loqzs1b+tj3zJMk2pKs33QuB9NZ4ORUSZub5d7t6/md8uhYKf/Fn7NPfnYfhYGyTp+M+i/knGOQbuslFelEAFEKcR0Mu4gqFAi5NlEpoSJxip19qO5VEEvg5LNkho+QbO/CTk2iigViyQ6kswfV0Y1KdkI4Qnd7DLEsJBZHYgmGHZOhoy+SjvYwlTyH0ZEskWKWcLH8Nz9JcXKSaMzC7uinGG3DDsdRYtDdHcN0bDZkBgmPDdFhZzAGDiJDRxGnRF8b9LT5CjZAnjDHrD7sokNX5vi0nAFs7IWcLXiuIhaCzjh0lbvv54ZgzG9eDIFSJE6qdwOZvg0cKykORdeR7t5KNpJkfHwMRBC3iOGkp50o24spXjfxOG9Sz1MUi4dyqzgYXsNg21oOdW6a9VyIWyQx8lOc6CrsxEa80Gy/kHlRCrM46vvLlJ/bpZRJEXl884fvanrJ08BXf4vi8QOnjUPJsisTkUt+NXgQIKWwCkP+EskGNMrQuq3svGLzye93fWrWNY84186b9py+BBP7n2Dk2YdxV+1ATJP4lpPPRa2DU2FylIP3/AvDu39IKBLjytffwtYf38uVE8/RkwQ3nMAJJ3AiSdx4O5loO8eljadfOsLQ0GGKhoETT2K3dVMQIecof+21crH6thHafjOTx8cxlEdnbxIDcM0QnmHiiklpcDfuC9+nVEih1l+OinWSTacQzyYf2oATW1v3fsUtkhy+G6voTwcoK4oXbofydIxybNJrbiaUP0ZsYjdmaQrPjGEntoCAovr3rP1tBc9K4O1484yj9XxBxMkSH/8Z4cxLiPJw4+sRsw0z3IsR7kGUwjZDSPm5zYdiFMxo3efJKgwTH3sUqzhKevUNvkNbmfbiFBHXJhVOUjQj8z6PRimFEjN4gKCa532lKRORiz/QkhOcUUo3bHVZ+/Krpufdn7j9Tq6MPDbj/FzyCL5M9vS1ETv6A4qD+yh1vQxzx5sQkWl/h+54gdD+O8m9tAsrmmDtK24G5eG5Dsp18FyHNtPj2gfupi9pEFm7iTU7X0Gop5dSrAOrq4c9Rw7zyN23c2jwKJlYAmvLFeSyefAclGvj5HN+wCe3RH7bL+C1n1PfSVt5RA7dQ2jgQUS5KCuGm/SnWb1CDsQks+aG+veaO0Zs7DGs0gQKw18FpRQoF8Erx2NQWPY4YJDvuhglFqBAgaD8/6lEq/TlRTyPqFfC9Byc2DpUuJuiFZ4hQxGniODhioWnbCKTe4hMPUdITIzEVuJOkbhTwIlvJBPtJBOKk7dieGJQMkJzPkvi2USmniU69QyIwdT6tzVkYa6HlR+asy9riGWUybNFmWhpmkNEbgL+BugH7gI+oJRKz3l9KEKkPYLYGdye7XWvmc/ZUDwbqzDixyhYgNC6rbz5Ft8x6qEnBti4+0/qXneV9cCsY48411IaOMCuo89xYPwnmKnDALjxJ8jveB/2nvumr326PGqqdJC5w3tJTfpDGldM9ha7ybzpVp6OxjnnnDX0bT5/xrxvZUQFMLxnD8M/+jp52rA33QSGObs9Xhqc/vfYkbGZ7eMWiE69RKRUxDAMCpkijgPK6EFZIdzQ3KNPZUZIr7mZ6NQzhDMvku17FSjPHz0oBXgoI4QT6cWJ9GGUUnhmAidaZ7pqhoLq/6+MSEOOpMqMY8c3YhVHMUopirG1eGbcj/XQTPROr0Q4ewjT9qdvagPxpCJNWBiUh4gRODpKdPIpCp0XLYtJNYhMJtwj2Oe8Zs76zfu7lRV8u44yUbtsulqR2PXt+7iqRpGA+vIIvkwaz99J4cGfYXs2SkzsKQd34BiFrkumr5vsiBGZSGOJ4EiIoXwbXX0diGEhpgmmxeFxm8M3XwGGicQ6kVgX5PA/YwDdjG5bj9XzDHY6B1kI5Y5Q6Lzcb6Pq8AppG9JVsS9q2sox1xNt30E09Tx2dB2F+PmAMT3VNxdOuJtSfANmKoMbSlJo34F4NsoI4ZkxDCdLNLUX1Aig/OBNRqQ80vbfP6ryv5Q/CMqEbPmYE+mqa2krWicdIc3CJIaTQkRREsiH25iIdqKMEHZic1M+ROLZGE4O8Rw/7kor49gWAtjh2URT+3yZ1CwagZUJEekC/g14P3A/8HngM8CH5kvnJTfM8JauXY5U3eFUU3GWVKUrkdDMee3K9ZvWtPPQEwOMDo5OWyTmUyTmotKhPeJcy1T3dcRlF+H0fgqxcymNDoMRPnnNgL/2fdiziUw9Qyz1PF6knfDl7wWlmMxbTB7LkRofgp8dpJD/Wd0yDSdD4sT9hArDRABz9Hk8q42wb1D1hT+6mmJ7fSUMwHBzGKU0okqUwj2UKpq7chHXRSxnXvlVZoR858V4RpS2E/djuDkK7RfghjsBodh2Lp7Vjp3YhFkc8833YpUD71TqWbFSnKw3gGr0RSpCqW0zU4mNmPYYodxR4mOPkO+6vDllwghhxzdiFsfAc7CrrBLN0tIUAMx42S0lQWWy/ep3zfheLZO9/b30X7F52gI3Y1nh9MqKq2flWZHJwbIfRLXCvevb982pNMzFVdYDeJ0eT3uXEJ18EjfSi9225eRzpTy25/6TwSN5TCdFIbkDN5xEHT7C5GH/mbS6/UGIMz48/Vx6oQ7ccFfdMh0XEhO7Cef8wUQ4exg31FE1ohVfXuZ5PpQZo5Twn8NI5gCGm6OY3ObLiBhzPtPKipPveTmFzp3g5oilnieS2ocXaiPf6Q+SCh07yHVdSjS1j0jmRUqx9eS7Lma2ZbDCzONeA/FP3GgfmTU3+jstuzaWPUps8kmKbedBW3PKsWcmKMXXYRWGKEXXoqxgVgloLYAfRlgrEktAK5aJNwNPKKXuABCRP8YfCc3bcRnZYUZ+8sCcJqralc6VDqi/P8mxp5+k8NA/kt/5q6jwyemFSmdVcaoEv6ML0mlVM512NXh952AYY5SHLrOuyWQyHMnkELeAkbPJ7X0EJZWXKhgIyrCg58q6ZXlWG/muy2FiF1ZxjELHhX6EOXXSXDlvcCGlMAsjWMUTCOWQvfkhqtV/z4zDAlHrBA/DK4Ln+5WIm8NwKtEbFUYpRXTqGayS70gWm3wKz4xOWyNkhmmV6bp7VjvZVa+et+xaIukDRFLPIyjM0hxOqXMQyhykbeR+pDyCseyJwB1QKHcEZUSCp88eRpnR1jrAxmhaJlWpyPgP/plicltdv4eKPA4Opmcp+f39SQYGUqQf/jr2pplBjyoyWa2YPP34QUoDBwLLpGEYXNI7idu1AcMwEKmshjiA67qMFYtYbhoF9HiHCbkhhktVK7UGfYdOfyztP58lZE5lQpkxCp0XIaqElR+m2H6+r0xUpV/QTK+UH4q+7LRslDJYxRNl+ZAZU2/16xAhVBzBKoz4sunkMe3J8kowE6s4RiSzH1EO4cyLGE61Eapm6KBm/lPo3Llg+RXcUBexzC6ik08jKKKp5yh0XNS4QqAUsYnHiU36K7UECBqM2yyOEp16hmzfdQGnyz1iE0+U9yE5BQHbzlAC+0yIyJ8BnlLqo+XvEaAAJJVSmarrbgVuLX/dBuxrqcbN0cts/eRsR7dJfZazXc4DHlZK1V8WFJDTQCb1s1cf3S71Wc522aiUCr750Txon4mFaQcOV74opYoi4pSPZ6qOfx7f3LrsiMjjK8XRbaWg26Q+Z0i7rGiZPEPaeNHR7VIf3S6nF63sGjpJVZggEQnjKyfBt5bUaDStoGVSo9GcElpRJvYC1dvWbQf2K6WC70ur0WhaQcukRqM5JbSiTNwBXCsi15a9yP8Q+NriVGvROCXTKysc3Sb1ORPaZaXL5JnQxkuBbpf66HY5jQisTCilxoD3AV8GjgIngD9apHotCuW5YU0Vuk3qcya0y0qXyTOhjZcC3S710e1yetFS0Cql1HeB7y5SXTQaTYtomdRoNKeCVqY5NBqNRqPRaFa+MiEi7xORQyKSEZH7RWSbiPSJyB0iMiUiIyLylyJ+KDwR2SwiPxWRvIg8KiLby8cTInKviJwQkV8sH/sVEfFExKn57D2V99wIIvKbIjIkIikRuVNE1orP58rtMigiv1Z1/RnfLnO0SVxEvlQ+Nlx+VkLl68/4NllstDzWR8tjfbRMnj2saGVCRM4D/hb4daAPuBv4OvBp/GVwa4BLgNcB7ykn+zJ+KOHVwG344YUB3gt8FXgZ8CtVxdyrlLJqPucv5X21iohcCPxP4Ofx92BIA5/FD6N8A7ADuAn4AxGp7A19RrfLPG3yMeB8/Da5BHgF8BvlZGd0myw2Wh7ro+WxPlomzy5WtDIBXA/8SCn1vfLytj8FLgYc/LpXdrUxgXEROQe4FPi0UioF/BmwSUTOr7quJT+RFcKrgTuVUo+WIxt+FbgAX+A+q5QaUErtwRfEd50l7TJXm7we+BOl1DGl1DDwj8DrzpI2WWy0PNZHy2N9tEyeRax0ZeIO4L9Vfb8cf2+/TwOvxY/qdxQYwN+D4GLgeaVUEUAp5eGvvd8KfAV/tPQc8MVlqv9S8QXggwAi0oN/Xw8BO4HdVdc9i3/vZ0O7zNUmvwrcW3XdFcAgZ0ebLDZaHuuj5bE+WibPIla0MqGUOq6UOgQgIm/H91L/GPA54FGgE99cthHfTNYOTNVkkwbalVIZpdTrlFKrlFLfqDr/ehEp1Hw+srR31hpKqZJSyhaRD+LHrv95fHNz7f2ny8fO+HaZq02UUs8qpdLlOde/Bt4G/G/OgjZZbLQ81kfLY320TJ5drHiTkYj04pvBLgc+oJT6joj8EXC1UmoKmCo/kDcB/0BVOOEyceYPJ3yfWuQNl5YLpdQXROQr+Nr/Hfgjw+r7r9z7JGdJu9S2iYisBa4FvgTsAS5TSh0TkR2cJW2ymGh5nBstj/XRMnl2sKItEyKSAH6Kv+/3+Uqp75RP5WouLQFZ/N0Pt4v4eymX/24Dnl6eGi8PIvJxEXkvQHnu+u+AbuAYM8Mp7wCe4ixol3na5G3AN4GPKqXepJQ6Vk5yxnflV8UAACAASURBVLfJYqPlsT5aHuujZfLsYkUrE/hzZENKqferqi2U8c2rvycinSKyEd+7/JtKqQPAC8DviEgM+CTwjFJqYNlrvrSMAB8TkS0iEgU+gq/h/y3wERHpFpEr8dvvG2dJu8zVJr8NfFgp9e/VF58lbbLYaHmsj5bH+miZPItY6crETuC62nXEwGfw59JexB8p/ZtS6rZyml8G3gmM4y9Re98CZdxYm7+IjC7N7Swa/wTch+/MdBzfa/rt+A5PT+JvQ30b8CGl1P5ymjO9XeZqk53AF2vu4wflNGd6myw2Wh7ro+WxPlomzyJEKXWq66DRaDQazRmJiDy++cN3Xd5suoGv/hbF4wdkKeq0FKx0y4RGo9FoNJoVjlYmNBqNRqPRtIRWJjQajUaj0bSEViY0Go1Go9G0hFYmNBqNRqPRtIRWJjQajUaj0bSEViY0Go1Go9G0hFYmNBqNRqPRtIRWJjQajUaj0bSEViY0Go1Go9G0hFYmNBqNRqPRtIRWJjQajUaj0bSEViY0Go1Go9G0xClRJkTkt0XkXQtc808icm4TeSoRWdN67Wbk+YCIXNXgtYcavXaxEJ/Dc923iHxVRP5+OeukOT2pyKSIvEZE9s5xzR0i0tlgfptEpLDIdZz3ea9z/aL3CQ2U2SYi4zXH3i8iRREpVH3M5ayXRrPULLsyISLt+HvW37bApX8JfHbpazQbEbmp/BJ+1akov5Z6HY+IvBP4D+CcOdLcAsyrsGk00JRM/jPwqaWv0WwWet6Xm1qZFJGwiLwX+DYQr7l8K/CbSqlo1cddrrpqNMvBqbBMfBC4oyJMIvJLInJERIZE5BMicghAKfUUsEFELqiXiYj8XDldWkQ+U3Pu4yIyLCIZEfm+iKwXkfby6OC8quseEpH318n+VYAFZJq8t1vKI6e0iPxBVTk3icgeEZkSkTtFZEP5+O9XWw6qv4vIj0XkD0TkIPCOOmVdD0zVq0R59PgnwJearL/m7GSGTAKGiPwfEcmKyEERuaZ8/E7grSLSUy8TEfmgiBwXkTHg16uOGyLyVyIyVpaBb5bl8fzyKD1Rde0xEbm+TvZzPu8L8AEROSEi4yLyG1Xl/LKI7BeRCRH5ioh0lY9/SUQ+VnXd9Pey9fH/F5HjwBU15USB1wAjdeqwGTgQoO4azWnDqVAm3g78EKD8Yv8r4M3ABfjCWM2PgLfUZiAiHcCXgf8GrAVWVZ27APhN4Kry8RHgw0qpVLncN5av6wEuB75Tm79S6pNKqV8Fxpq8t9cArwBeCfxuWYnZCHwd+G1gA/AU8G8N5vdm4NVKqX+vU8dfL9exHp/Db9djzVVfc5YyLZNlzgMOAb3A14BPA5SVjceAm2ozEJGt+Ars24FzgR1Vp9+ALxvnAxuBPuB9Sqm9wEHghnIel+C/lH9Sm/8Cz/t8XFq+n18C/rRsQbgK3+r5TmAL4AB/02B+1wPblVKP1tQvVa7fx+qk2Qx8SkRGReQZEXljgPvQaFY0y6pMiIgBvBx4tnzoF4DblVJPKqXGgf9Vk+Rp4BpmcwuwSyn1baVUBvhE1bmjwLX4L9I1gA1URlLfAt5U/v9m4CGl1GhrdzWDzymljiulngYOA5uAXwS+q5T6YVmh+X3g0gbncv+PUupoMxUQkRvxO0/tK6FZkDoyCZAC/kQplQf+E/85rjCXTL4LuE0p9VOl1CRlBaTMY/gymwJWAwXqy+Sb8GXFaeWeavhDpdSUUupuIIQ/wPgV4PPlfmcC+DjwNhGRBvL703Jf1Qxp4J/wp2g+Dvy7NOEPptEshFT595V9iz5XtgIOisivLUcdrOUopIoefAWmYq7cABypOj9cc/040F8nn/XV6ZRSIyJSKn8NA38BXATsw+9ADpfPfRv4i7JZ9Y3A7YHvpD5DVf+7+O27kSoTp1KqJCJTVFlTqqhV7iabKVxE2oC/Bt6ilFKN9Y2as5xamQQYVkqp8v+V57jCOL5Fr5YZMgkMVv3fju9vsQ54HuiqOvctTsrhG4E/brL+CzGXTD5UdXwE3yKSrJO+JZkEUEq9vurrt0XkfnxrzIvN5qXRVCMiNwFvZaZ/3/vxn68dQDfwIxF5VCm1eynrstzTHJVOqfKWy+GbPCucN/NyFODVyec4VY5YIrIWX2kA+DD+SGCTUupGYNocqZQ6DuwGbix/7gh0F3Oj6hwbwe9oK3XtwDcfH8G/t+rfoJ6C0Qzn4pttnxTfk/4TwK+KyKPzJ9OcxdTKJNR/jqvPLSiTNf9/Gt8KeK5S6hZmvkQfBxCR1wIXAvc1WO9GWVAm8fudybLlcFFlUkT6ReQjNYdDQLaVfDWaMvX8+94LfFYpNaCU2oM/rb7kzvjLrUyM4Js4KyOTHwLvEpFtItIL/Pea67vwO6lavge8XERuKY/GP83JDs7CF9aoiLwKeA8QqjJhfgv4PeClZqcQAvJN4J0ick25rr8P/GfZFHwMuKzsoNaH7yMRGKXUU0qpUMVjHPgD4ItKqStbvAfNmUutTC7EXDL5TeDtInJ12QH441XnLCAiIlHxVxndRFkmyxaQbwN/DtytlFrU5aRz8A3g10RkR7muvwf8S/ncMcrOlWWfrle3WNYU8AkReZ+IxETk5/Gnle5uMV/NWYCI3Coij1d9bq0+P4d/3078QXOFZ/FXFC0py6pMlOdCH8OfgkApdSe+o+ADwHPlc9XzpRcCj9TJ5zi+Q9Vf4vtI7Me3RlA+tg6/cT8O/Ab+S/qW8vlvARfjLzNrirIHeFNe2eVVKb8F/Ct+x729XCfwNcbD+NMx38T3ltdolo1amWyAuWRyD/5g4Db85/meqtOfAV6PL5O/hO8g/WH8Tg9ak8lPicgPmkmjlPou/nTgvfjKgwd8snz6r4BO8WNt/A3w3WbrVFNWFt8M/Tv48v8J/GnIxfTV0qxwRgdHm/44JQel1OeVUldUfT7fQHHtzJy2TJePLSlycmp0notE3gf8T3zz/C7gVuAF4M+AD+Cb7D6tlFrQ6a9s8utQSn2yvByrrWIhKDsPfqYykhaRh4BblVLPBLm5Ocq38Du1HUqpgQDp/0kpVW85qUazLCymPJbzm5bJBa4z8BWFqxfzZViepnwOWNusZaJscfxCwJUeGs2SIyKPJ9/1L/X8jOYle++ncMcPNeT4Jn5IhXcrpR4RkRHgGqXU/vK5DwI3KKWWdKpjQctE2dT3t/jrxvvwzXNfZ6aTx03AH4jIpQ2U+UX8eAwW/mjkERE5p7y64XeB75fLvQgYW2RFIoa/uuLBgIrEq6mzbE2jWS6WQB5hpkzOxxvxpyIWU5FI4CtA/xZwiuOd+NMWGo3GZy++BbHCDvyQBEtKI9Mc1wM/Ukp9r7xU7E/xlYBATh5lX4F/wNeifozv5f0E/lTFEPCH5Ut/G/gfzd3OgvwV8EecNGk2hVLqJ0qpLy1qjTSa5lhUeYSZMrnApR9k5pLPxeBb+HX/30ESK6X+Qyl1z8JXajRnDV8FPiIi3SJyJb7f4JIr3I0sDb2DmfOfl+Ovwqjn5HFDI4VWm1+VUp9gZpyIyvFFN1sqpT642HlqNMvMossjzJTJea6ZFUCuVcorrjQazeLxBXwfqMP4S5k/VJnyWEoWVCbKzo4AiMjb8YMhfQzf+3pBJ4+y96nvgWqELpd4b2s1bpGwCXaTUfFDJngeuAu7lywZlgGuN/+avaVGBBpwsdEsgMoMpYCHlVI3N522RXksp1tRMqkJhrC8/UHE8vuhkAlZG0pn0O4iKjM0qpTqW/jKlYlSalPV/y7wX8ufZaOhoFXlZZv/iD8K+oBS6jsi8ntArOqyODBRm7bsffp5ACPZryKXnHo/qUiANAbLH+GrFr3N4JlB4aef2R9EkajQijzCypRJzemBU/4YBOtHVyqFn37m8MJXaeajEQfMBPBT/BUQ5yulKntZnBInD43mbEbLo0ajWYk0Mth+DzBUZzlkxcnjfvwIcu/B3+BKo9EsHVoeNRrNiqMRZWIncJ2I1G6+cy6nwMlDoznL0fKo0WhWHAtOcyilflMpZSilrJrPYaXUf1VKJZVSG5RSX1uOCms0ZzNaHjUazUpkuffm0Gg0Go1Gc4ahlQmNRqPRaDQtoZUJjUaj0Wg0LXH6KROtRk06XaMueQ6h7CFQ3oKXalYYp+szt5QoReL4D2kbvo/oxJOBszGLo7QN34dZGAlYj+DyFEntJTL17CmTSXGLoAJGjvJKzbeZUli5Y8HLnM7HwyyOgWe3lk9LddAyudgsuzJhFkYIZY8ESitukbbhewM/hOH0CyRO/CjwgyROjsjUc4HSAoSyhzCLzXd64uToGLiD6OQeDDcXrHCliI3vCpYWMItjhDIHA6cPpw8QTje1e/sMYuOPB04rboHIVPD94sziqF9+wOcmOvU0oezKjYkTnXgi+Asx6HMlgp3cSih3FPFKgWVaPJtw7ggdg98hPvJgU/cRyh6ibfi+5n9XpYhO7CYx+iDKjPr1D4CVH8LKDwZKi1LEJnaTOPGTputv2JN0Hr2NaOq5httL3CJtJ35I+/A9dBy7neTAnYiTDVJzIqm9JIfvwXQygdJDa/0BnkNy+G6MFsrXzGbZgzq60T6C6rXKjJBZ/TqQYLEg7bbzcKJr/LjQQcq34hQ7dgRKC1BKbApcbqr/54ikX8AzwsEKFyHf3fQuuNO4kR7cSE/g9KXYOgw3WOcDkO++InBaZUYpdly48IVz4IZ7yIe7Az83hY6LQFauEbDQdVnwxC08V6XYBort27HbtkDA59pw87hmgmL7yygmtzXVzqXEJpzo2qZ/V3ELiHKx4+cQSe3Fjm9sttoAuOFuJOjoXIRSfJ2vDKgSSOPt54U7Sa37Oaz8MH5Q7gVQiujUM1j5IT+9GSPb92qUGQ9U9WLHDtxwF67VFig9tNYfYFik19wY+D2iqc+pjhDdPEYLVRbBC9XdrmDFo8wIhc6LTnU1AqOsGK4VW/jClYgIDXW6c6ZfuYrEKUWEXO/VLWVht52LndgSfIBgNh8UWlmx1l5mVWUHKb9CKb4hcFrPasNObm3s4rLCmO+6FKtwAjfUgWpRlp3Y2pbSt4xWJBad00+Z0Gg0mmoCKhKaJhEDJ7bmVNdCs0LRQyaNRqPRaDQtoZUJjUaj0Wg0LaGVCY1Go9FoNC2hlQmNRqPRaDQtoZUJjUaj0Wg0LaGVCY1Go9FoNC2hl4Y2QyVanI4bEAyl9DI+TVOE1vmxEEoDC0dPjbRH8dr6G5dP5YEYDeWtqcJz/DbW/aCmiuV/GjzbfxgDIk6updC/4cyLGPbknJdUOq/Z5WZJDt0dPKyyUoTTB/z6B8AsjJA48RPELQRKD7QWPtZz/L0AAhJO7yc5fHfg3y5o6F4AlArc7uC3m1kcDRxO2yilW9/PYAlppW1QHuHUPkx7InB66oSjDq3bOqcszsCzCeWO0mbvJ/Hk35LY9TlCQ4+CO0+Ia6UIDT1G4rE/xhzf11g5VVj5QeIjD5b3lwgWSnu67gG3FkApQrmj/t4gARDPJpQ52Fx4f6UIZQ/TceybJIe+11I/Hk4fCB79k9b7AyPo86qZk2VXJsK5oy2FVbYKxwPHwgflx8O3x+uenVORcAskh+8jVBhClAuqeSEyi6NE0nsx3HzTacXNE5t4AtMeDf5SUopQbiBYWsov1DnabSHEzRPKHSWUHyQ+9migPMK5gJ0u5Y6zMBw4PcojlDsGBFUmUpilqeDlLzHh3JEWNqtSGG4Oz0o0laqiLES6OogmZPp7rRLR299Lb3/vnLJpeDYRJjDSR/3vTh7c4qyApZV8etZ00jFwF9ED38Kw07TlX2yq3pHUXpJDdxNNl/eXKKWaSl9NfPwJ4uOPBUprlKaITjxJbOKJQPuaRCefIT7xePm5boxw9iBtJ36M6WSwCsOIF3xwoVqMQNlKfwCKcO5Ya4qgZhbLPs1ht53bdJqZHcnWGZVuykQpBrneV84ytdd2XqM1+SozSmrdWzDtMX90boRmpGmkDm60j3T/LY3XtQplxsisvQlx8ygzYBhbEYrt24KlxY/n79EZKK0yY9iJzZQSG/1ORLlNh7Mttm8PVLZffsTf/yEgXqidQtclgdM78XWB0y4HxfbzG7623kvdXb+tKZmszsNLrIbE6lnX9Pb3zvpeLZfVeRS5hJ413XiHH8Hov5hIZG7FRgwL68K34PW9DG/4Wcytr4W8n9+CcuzZiJunFFuHVRwhvfqGlvaryfW8gnC2b3q6pRm8UDv57pdjFUew7Amc6Ow2nI98506U0JR1wG7bQim2jnDmAMoIo5pUIKsptW0OnBZa6w8Q47TemmClctr4TNR2LqODowANvdTnGtWUBg7MUiTmRAQ30ls3v0bNpK3OzQZWJFYArXYempXDXLJYYb4Xc2jd1vnlrIr+/uT0/4OD6en0c9XH3HxNQ/lKvAtz8zXT1/d2+fcwV72njxthCl2X+gcXw/9HjECDq0paJ7YmeHhrw/I3eGtyqkKZEYodFwQrU3NGs+KViUrnU9uxVDqQ6o6sodFFTd4VKvlVyplrFNQKzTiTaTQrjWpFoCIn88kizC1D9RSF2vOb1szelK+6jN7+3hnfq+s0V1m11Cu7Xn1n9S1ngCNxs9ZVjWY+VrwyUY/5OrJaoa8ITPVoqHYkVdtB1qadi9rOLChaydCcTlTLSX9/cvqFXE8eamWodmBQm99cL/daKjJbT3ar+4f5FIl6LNbAYaWzoLKk0TTJaalMVKjtyKC+ubLe/Gvl2uq8mqG6M2tWodDKg+Z0Y77pibnkcK5rF6LaKrF1Vbyh61spq1EFRo/kNZq5Oa2VCZht2qy83OtZJOpRe77atDqXSbXROd+F0KMDzenGfC/u6pdyPSW7Ijf1pi8ADg2nZuS/kCJRW2Yl30PDza+wqK3vfJZMOD1ldSGry+l4T5qVw4pWJmr9Jao7odoOo3bqYy6rQzPzsxVqTar1zo8Oji44KtNoTkfqvYQ2rWlf8KVdTw7nk7NG8qzOq/rvYrCQfNdyql++rVpK5lOYtPVU0ywrWpmYj7kUi9rRynydzWJZGObLVysWmjOV2pd/PQfIWkW7Wbb1+daJAydaCKx1BjKflWEh59fFKFMrGZpaTgtlouJIdWg4Ne/IpsJijlZqma9j1IqD5mxhPgtCvanHoOwbWVololLHuaY45uNUvlBrl7VXqD62lM6kp9oqo1l5rHhlovblXenEqpWKZsyjczGfolKpw+jAcRAz8JTGQnEwtHBqziSacW5slsoAo5J/ZbBRfb5RamW4ts+pJ+MrUVabVR5asRhpNLWsCGWiEfNZpfNQSiF11njPp1BUznmlAs7Tt0O0A2PV+Rid62bkXTe98jCnDpHefztto3sobLkFZ/XlDSsRM+5HeYAEWqNu2FPEJp8i1315S5HnThVGKQVi4Fltp7oqzVMJ7GMEFBfPCZ52hVG73FI5JTw7x7lbNgD1fZkaebErpVDezFDxB07k5nXCrM63ul6NKhK1Mlw92q937mRlqyJWthC8KpQ7RiS9j0zfdafs+Wi0H6vuoyU3QuyF/yAf2Yzd/rKlqtr8eDYY4eDp9aaDi86yP8FmYQTDzVFKbFzQTFeLUh6Tj36Lzlf8/ILl1OvE3HwalZtADe7B3HTVnGkHB9NVQqYw00cJHd+NKAcVrm+9WHCkohSxiV0U2i9EWTMjWS4Yfjh3lLbjP8KJ9iFeKdgOEUoRm9hNvvuyIKkxi6MYpXTgSJbh7EHCmZdI9f9coI4zNv44+e4rApUtboFw5gDFjgsDpbfsMSJTz5Jd9ZpAOyVG0nvxrHZKiXMClb/URCeewL3g7dMhzpsZdSsUkeEnoaxMNLuiQnkuT//z75MfGyTS2Ufnm34XMU8+HxVfiUPDqRlyWRlRT+26C6f7fHo2nztD3ud8SZayRF+6C7djM9Gpg3jRbrLWppOn55g+qBCZepbYxG7sxEas4ii53muaDmXt37jr71mTPUybup/M6tc2/2ztu49wVLDPub7hJNPOpMojfOhe7M03N1WkNfI00f3fRFwbFT8/UChwgHDqBZzYWrxQsCnp+PjPKMXPoRTf0HziSl/YdYne+XQRWXZlwo324dK4Sa7aDDc0lKX/qrc3XWalYzuRsjD6zsO4+B1IOLHgUs/pTnXDdTg92wkfvR97KoWXO9C8M5II+e6XN113gFJsPam1byCUP4Yyo4Hy8MsPpkgAuJHe6XDiQSi2baUUP4egm2UFVSTA31slqCIB4ERW4axaFXgk00rZy4F74S/M+L6QbFZbAQwrjLPlusBlHz6RRdZfQv6FXeTHhkh/75+xLns3MPcS0mpKa68EaGzq0XOIPf9VrKmDWCNPk+27FtucreDVKhQV+Y5MPUti7BEATHuSzOrX4YUWrmNdxMRwchST21BmFMNJ44U6msqiFN9AeOQnxKYOEnYFpzPp73UyD9NtIwahE7uxN91Y94Va26dV2sTt2ELh3LdgDOzCLE1Sko1N1blCqxaNXO8rgydusS/U1GdZlQkJRepGxKuw1A6MYliY577aL2diZlnzmUYrglTY9k68spBVji3L3KmIr4RF+5a+rCVCWQlcTr/pGeCMNodKKLJsZVVkrNZ60XbBdTiZMcQMkc4plJ0D5h+xNjvNGFq3FWvkKcS1cUMdlGL9De2LMS3fSuGGOsj2XI1ZmqKYfFlwRaJMoeviltJjWGRXvZbOw1/D8goYAw9QeNk7Gk6uwknETqMivhKzUF928nw7rH5t0FprzlAaViZE5AHgo0qpR8R3Wvgz4ANAFvi0Uurvmy28kciUrVLrqFUv76AOVyvRCUtz9rCYMrnQ5l215xsNVV1PSa+dAjGsMN2vfDeDg+kZHVKtQ+VC/cJ8fg6lgQOU6CC/qjGz/izZFsGJr6e5bbGWgfJuwOHMQawTTyKbbkKFZ/8u9aZvXM/CO/oUTqx/mSqrOZNZUJkQkZuAtwKvqjr8fuAGYAfQDfxIRB5VSu1utOD5vIgX28O4EatDrUKhFQXNSmWxZbKevDUSHyLI3he1aWpls1LmXHkv5NNwNpLvvoJ89xW+DwZzW9GqralGKUUoP4hVOE6q/0144c5lrPHZR5D3ibKLS1CTpaMR75NX4Ssdmapj7wU+q5QaUErtAf4NeFczBc83yhgdHJ3xqabS+bS6FBRO/sCVv/XK02hWIIsqk3NZ6yp/55OLanms/szH4GB6+jNffeZyqJxlcdBWQwCUGcMeGZ5xrLZ9Kv+LWwBVwvAK0463Gk0rLGiZUEp9EkBEbqg6vBOoHvE8iz8qaopGphfmOl69lLPROBNzdUiV7zreg+Z0YClkstoZuRk5nM+KMFcejcp8Je8K9V6K1d+1/Po0cv9udBWFjguxiiOBV1RoNNUEdcBsB6aqvqfLx2YhIrcCtwJIvGfW+SCWgEqaSgfWqiKx0HGN5jRgUWSyWXlcaFoCZi/Tnq+MaofJ6WBxQWK6aBYk33U5ocLwwhdqNA0QVJmYBKqDJcSBiXoXKqU+D3wewOzerGDhmPELxl0odzTNjIYazVujOU1pSSYbYS7ZGaU1P6e5pikqcj5f2ZoWMCxK8fWnuhaaM4SgysRe4EJgf/n7DuCphRKpUnFeU2WjVDqaIA5gGs0ZSksyOZ9TYyNLBivqej3nynq+EY3Ivna21GhOH4IqE18FPiIi9wPnAe8BWogi0jxzdWBLig7Bqlm5tCSTizHyXwrnZW2R0GhOD4LGEv0C8CRwGLgN+JBSav/8SZaO+TzDqykNHADlLnjdXMTGH8PKHQucXtw8eKVgaZ0ckannTu4T0SzKRZzgOzCa9nhLbXdW49m+Irq0nFKZDPzSVyr4Mw1+OOelb9ulQanTsu7iFrHyQ639bq3SatvpvmzRaViZUEptUko9Uv7fVUr9V6VUUim1QSn1tUbzMYujWLmBIHX1w+GOPz79EJcGDswYDVUvOZtLuYhOPh2sbEA8m3DucKC0oewhOo98A9OebDqtVThO59HbCGcPYrj55gv3HJKD/0lsYldgAQzljhLOvBQoLUAktRdxsoHSmsVx4uUwxkEQt0Bk6tnA6c3iCPGRBwO3XWxiN8mh/0Q8O3Ad6rFYMhmd3FPehK55YmOP+m3DbHlcEKVIjDxAx8C3CadfCFR+OHOA2PjPmv5tDHuKxIkfE0k933yhSpE48RMSJ36MWQxujTGLI7QN3xN4gGHlBwPLFJ5NKHckUNL42MMkh76HWQq+PD+cfgGjFHBHWc8hMXI/oeyhQMnFzdM+8F3CmReDla+py/LvzRHuDtxxISaF9h0z1kVXpjsadQArdF0arGwg13M1QfeWKCU2kV4TwQuw46cTXc3U+p8nOrUHFWRjGsMis/Ym37oQcJqm0HFRoHQVisltgct2I93kreC/mzKjFNt3BE7vhrrI9bwicP1LsXUUOi5EtbLL4RJSaD8/8IZH+e4rMO2pGcca3tpalQjlBzDcHBJwlOuHxDaa/m1CuaNEMi8SybxIMXl+U+lDucNEMr7Rp5gMvseEF+rwN48zQoHSW8VRQvmBQHv+hHIDhPLHyvvlNJEue4RI+SUcST1Hru9VC6Soj912XvApYzEpRfv9GBkBUEaYfNdl2vl0kVn+LdPECL7drgjKitd9CBdaG78oc6+GFVjwAZzYWr/+AfBC7eR6Xxl4+3FlhHGiawKlBfzfrZUd9lr0NVFmi3tItFJ+q797fP3K3ja+hXtDTNxI9/TX6gBwtcySRSNMevXrUBiUgoZ0FjPQb2sVT6AkRL7jIpoaIChFbOIpXDOBHT+npc3vlBkJvnEf4JkxYpNP0zZ0T9Npw7mjgXbcVEaY1Jqbmep/c+CNC4HW5FEEu/1lFNu3B0xv+jv46h1DF5Vlt0wsJQ2PiDQazZLTyE6ebnQVmdXXN71jZquUEhvJ9b0qgLVIkV5zI8qKLXzpEmMVRwCan25QCqswSLb3qqbL8QJvzQAAIABJREFUdGItDEg0ZzRnhGpWbXWoDv2rQ2NrNMvPXPI45/WJjcu+SspuOzfYtJMYK0KRAMj1XImd2ITXZH3M4qivvK3QaTfN6ckZoUzA7GkMHahKozl1aJlbBsQks+q1FDp2NpUsnDuKHWCKQ6OZjzNGmQDdgWk0Kx0to4uMGP78f4OYhROE0y/gRFYvYaU0ZyNnlDJRD915aTSnhnqbcWlOIUqRHL4H081Or8jQaBaLM8oBE3SHpdGsJLQ8riBEcEOdSHEUuwlrhkbTCGecMqHRaDSa+riRHgqdF+EEXYqr0czBGa9MiFsgPvYopdhaSvGNQGsxCwx7Ei/cuVjV02jObjwneNwZTdPkuq/Qqzg0S8IZ7TMRyh6m49jtRDIHaBt5gPbB7xAKGA4b/PC1bcd/ECyxUpjF0abD34qbJ5LaS3Loey2FhG4FcfOYxfHAYX+B4FFPy1j5YT+cd5CQ1qfpHginDY22rVJEUs9j2uNY+UESJ+6n4+htLe0ZI63se6KUv2/KqaDcHwQOKR2UxVYkvJKWLQ1wCpSJUOYgRk343UYRN0989MGGX2pOpJd8506cSC/FtvOYWv8O7BbC34pb9NfEN7tJjGfTPvhd2gfvxLInGk+nFOH0i8RHHyaUHySUOxZYcK3cQOD9D5SYJIfvJpraGyg9QHTyKTqOfiPYXgbKI5LeS9uJH5EcuqvpPMzSBB3HbiM29lig9rPyQ/5eBAH3YTglL40GCZv4+54EUBQNe4LkwJ2+gr2QsqgU8bFHSYw+RMexbxGd3IOd2MjUOe8MHBUW/LDY4gZTRpLDdxNJHyCUO9pwGis/TMfR24hOPEHixE+CPRNeieTgnbQPfMcPcR8EpQhlD7ekSJnN9EV1iI0/TueRr5MYeaDpwUIod4zY2KOBNgsTt0hs/Akik880nRYA5fl9YYsDHM1Mlt2+6FmJwCFkzeI4IBhuAa+BEMDKSlDsuJBix4WLsn14qW0zJTY3n9AIk15zI/GxR1HNhC4Wodh5IU68n/jow9jJrYHvwYmtxQi6KZARJrPqetxQ8K3e3UgvuXBXwPDDCsMtoCSEG+5BSXPhnz0zgR3fRL7r4kDtp8TCjm/095UJgph4rYYDXyJcBYpgodK9cBfF9vMxnAwwf7uGsy8RzvjOmE64l8yaGxclUJW/N0cwDCdLYuxhCu3bGwotbeUGSB6/D1Eu0dResr3X4IYCTHkaITJrbiQ+9gjKaP65CGdeIjaxCyWhpvfWqCY5dDeT57w72O+gFIaTwfBsIpn9iGeTWfWahqesPCNMKbEp0BSXqJKvRHoFiu3nN5+H8jDcIoabw7Pami5fU5/l3+gruipwWie+Die+LljiZY6wV4syo2RXXRcorRvuJt3/ptYqIAZeC8pAq2F0g+wDMI2YZFa9xt/kLICZVpkR8j3B9xFwo3240b7g6cNdgdMuNa4H+Z5XBE5vJ7c2dl3buf6L33MQ5Z5yeQRfSSy0byfX00BYaaUQ5ZDv3IlpT2InNvsvw6Blm5HA/YGVH8AspXCtZAubZQmu1YbhpPFC7YHS53quxrMSuOFu/xlvQiFt5T3gWW2k1r8l+DbihkWhs7WNCzWz0Z5PmtOCVjZE0qwgDAu1QrqdXM9VjSvJIpQSG/1pzlOM4eRwQ51ke69uKR833IlpTwZTJigr6a1s9tUqVbtHa049K0OqNRqNZpk5XTetKrZv8y19Lb5M3VAXZmmCEjrmhKZ1zujVHBqNRnOmUUpsWpRRuTIjhLOH/RUxGk2LaGVCo9FozjaUR2zySaziCPGRB091bTRnAHqaQ6PRnBJC67b6q6zcIqXjx/zv6BDcy4IYlGLrMUvP4bTgDKnRVDhrLBOhdVsJrdtKzEpNd1oajebUUJFBI3eCxO6/Ipo49as7zjZy3S/HCXe3tLxUo6lw1igTFdykv0SxolxUOrXa742glRKNJji9/b10hNJ44Q7MqZemAxhVy9W8cqk8rMLxUxfF8nTHsEivuamlJeMaTYWzQpkIrdtKb38vvf29qPjseAG1HdVcnZe4RT8KZZ00Kx7lYpRSp7oWgL9fyoIhlJVqKczyYuYrbh7Dnlz8umgwN11F4g0fx974+lnBh+rJZTWR1HPERx/CcIvT55dTLs3iKIkT9weKbmra40Qn9wSPwrhIIeJbiT66mBj2JGZxrPEEno24haWrkKZplt9nosVIlOJkUWYsUMQ+8EdDAKODs8PgVs7NdV4Z1owokL39vYzS2ByvuHkSIw+Q7X0lykoEqDnExp8g33VJ0/du5YdIjD5EKbqKXO81gTzBDXsSw80F3m1QnDzhzItgmEQnn8ZwC+Q7d1LouGjWS8S0J4iPPoxVPEG+6zKUEcYNd+FEVwcqG/zwvXglwtmDhLOHKXTsoNB5ycKbvilFJLWX2MRu7OR55DsvaX4kt9I3s2pRJg0n03AkwdC6rZQGDsyQNYCeThOVn2RyZBxlxaeVgrlkUpws8fEnQJWIjf8M+7Jbm663lRvAssex4xsCbd7nmTHM0hTtA98mu+q6hgKziZMlMfow4dxhFIKd2Nh8nAelaB+4AzfcTa7nqsAbFxr2pP8sN9Af+CGsH6OU2IRrJbGKo9gBI1hW8gtnD4Ly/Iiik09heEXs+AbynZfMH9RKuSRGH8a0x0ivfWOwGDQrXSZPQ5a9Nc3iKIabp5QINk9nFU7gxPoDC1B/fxK3kIX7v0jJbCdvdFFa83JUdGZn0tvfy1CVklDpBL1Qx7SloxkMN48T6cNwc7gBlYl892WB0ikxKUVXYbh5fyQUQJnwQkm8lkYxCsFDnAKGm0eUSzhzEDfSO6MTFidPfORBQsXjAITyA5Sia0C1tlOr4aQx7UlChWEEj2hqL8oIUei8dIEXqQKxEPy9DMzSVNPKRDh3GDfUETCU+NITnXySQufFwRR0pQjlBii2b2s6aX9/EqUUIsL4t/6CqUPPkhCD7M5b6VlAvsSzyV/wXkoTExgbdgJVAwUaU/BNJ0Vk6llKscai6s6ylAz/DDGFYvQ8lJgNKWXKjJdDkGcxS8H2xjDtMSx7HMsex4mu9kNKByCcPUQ48xK53mvmjblh2uO0Df8A00kRTb9AKbIaN9pLKb6+hQBkHoaT86PaAiAoQBmRBZUDsziOWZrEsidIDt1Duv8NqGYi4ypFbPLpcnh9HfhqsTgF4bT7CBgEFfD3x2iKsimwvz/JpjXttKcP8fi9/0xx+EUA+i65mcLmLYgY09ccGvanA0bLCkS1X0UtFesEMONaqo4B5ZCzze3tMJfJtllvdze6ilyrHttiTgteEK97ZcUpdPqdfim2DpTnWzlqOl9lxUivuwWzOEood8xPE9AKVU2xfTsAhfbthHNHKSZf1phCKgZ2fANOpAcnujbQCL6V/SOWg0LXpcETizSlSNTKSPfBe4g6WQ4e8nfEveKt/4XklW+ePr91VZwDJ3LTMllR8M3NL8cFjK6TSkR/f3L672B/b13rYnU9nEgfqQ1vm/dFVCuDMwYR/W+Ay95AbnDU35mkRh7q9gUilOLrKcXWYbjZQHtDRI0pSr0X4nRtw+vZQSg0W8lfSDZD67birttKMX2UxIE7KGXayHe/otwWaobMiZOjFO+HHDjR1WRXvbrpOteizNiMwZHdtgVRbkOh591IL8XkNt9KaLX5e8s0g0jggZlmbs54O09sYjfRI1/jyO44xnVvY9uO7bz65lt4aV0/dqSdy9/6fl4cyQN+x7WtL86+cgc2WKUoVOjt751WOoDpTg6Amk5t4Og4dL6MsUl/XnQ+AV9orrd6eqbey7zR9JW6DQ6mp/Or7iAr56up3GuFrasqndfscL4HTvj+CJV2qZRTj/k6e9iKC9Ru6VWvDedS4OrhhTspNGnS9sKdeLRmGdHMpL8/yTl9CR794h2sXreeL97+Yw69uI+dl1+NafpKa3fy5Et+1+AEdz07yncGT/7Wlef2msvWVT2TPgfWtMNl6zg0nJrx/E7L6xWbZzyb80171pOJCoODaXZe4Q9wBuvI0Yx+4oqTA6G6dapDrewB09ac6nve1nfy/30jOeDqaVmsLWOmTPaizttJeP8Pie67E2XnKPVdQvK6D84oc3RwlBKA8ggtgnJfK6NNTfWIBLbGaJaOM16ZyHddTFydwJ0aYPCRu1h9yXXk27ez8xdPbrJTUSI2JxN0J8NsTia4mxEOVY10Nq1pn3VdXzLCSLrIWKrI/rFxnhsYp1QssD6usAsF7vjhv3J0z6Ocu/NarO03MtZ/1XSnNZcisNCLvfrYYI0peMa5codR3alV6j86dIzRi7by4kieQ1WKEcCbLvDzFNchVEyjENb3rgbTwnVd+jpj09f2JWeP7EfSvjPceNrmYDrLvpHcjE6tmkNV9a3XuQ4OpmfdUz31Y9aUU808+xXOi7SpAsXRIfZ6vZxA7xR4qqieImybPEAhPcnhvZM8vvc5tu68YoYiUf18Xd7fxebkyenByrNcOdeXjBAL+2nztsu+wTQH01koP8+bkwkOprM8OvAgvf0bcFafDzvXnFR+51AYKnIzFweqz++cOVVQ/YKv1KNSl1oOprPkMinibe3T5yvKVKWfqTCetmecAyjlM9x++23c9Ma3cPM2vx7VslgpY99IjgNl6+sMReWKX2H/d22O/fQOwsM/44Led9NxTtULu6yY1TLfYKF24NLfn5z+f0K5eAhKDB1X5AzhjFcmQuu3YW5ZS196N6FYgtHnHqW06VUzhKnSGVQEtDsZ5uYt/qqPA2vaedMFvdMC/sXP/R4v7XuOQiFHsVCYniYNR6JEYzFisTjH2hLE4nEyR/ehPI/w6Et8+OouLn3ldUxkSn4nx+umX7SV8rf1xTFKBTpOHCBUmGI9E1j5Kcx8CsPxPZfHLnsrxd6NdCfDOLt+SPKFB7AmBpBiHncihCsmjmFhd8V45ppbcZwSruOw/rlvEhsqMjVw8P+2d+ZRcl3lgf9979WrvXqtXtRaWpK1WbblfY2NDdjYSZjBOHEwgRxIHAgBcmBmyMETyMmQcHDGJGY8w2onGU4CmTCYwcFAwAiwbIOtWLKtzbI2W5LVUq+lrq79LffOH6+qVd2qltTdatFWv985r6v61b33vftVffd997v3fpe+TT9mXWsz71q7is5UiuHV7+WFpdejy2WWPfkPXLvxfkJOaYIcnVCUgbLH36y+lzs/+DF6liwju2sLrel2VHoZmCZDuQqv7tvDosVLaKvKa0UqASup1rnWawJDubQVShyPpbmge2JDXnNtT+6VLa/2NgEGjxwjXRnGUi7HB/eR8oqsrhyio3QU14jwTfMmOgf20fTqdr68/FlaQg5EQGnYbrfzVX0tP9TrGCWKQzBueq5Z3t1EsxWi64q3EGvtZrdezJ5dw6zq9H8fNf2rUXsg1nRxbfVBdejga9z34Y9hGAamaSKGgWkYGIa/rbqIgWkaiGGQz+X4xdObALjuhhu579N/waobLwY46WENJ9oDsUtYg69R6juMsiKkEhFfJwuj6OYI+UvfOZ63/dufQZSHtiJ4h8K40SSV5h7Kzd0UW3pwrBheKYPneniei+d5KLuC/eIzbPzq/dywejlLrr8F67fvQ2tNUxjsx79Mqv8gxeMjqFIBJQl2R9roN5sYibeDZ/OzjU+w++WdfP6vP8ddd9/D+z/6p1jWxOGbWhtW875Opnj924k0tVEZyxAa2suqq04MBTTSx9r3WGtLp/Kw+HNjFFprVrV4fPnZP2K5NwBaM0iKzWY339MX8l21nsr5/0g6bxF9FpYXnSlGqkdHLvvD2ZXhZNESRodip01rLV6FlDMkt30F7DwYJkt//yFCTekJFnVPT4pbN3SPex2mQmsNlSxmyCQajbOko5l4ZOof/5HXX+dnP93Iu979u0SHD2O/toON//Qw6fJxWvMjNNtjJLwSg9Eunut9OxHPpSXfz6/3f2fKMr+2O8a+bAhDKX59WYU3L3EbpsuUhYd2taItCyyLT63tI2I0/q5/esBk62sKQ2vWdsF/2OA/dO1q0ZGQbzA5Hnz6KRMVChNpa+ePVo+wNFzCEZNMLM1AtINn9x9mTUwzdsV/5JpPfYloMon58jOEvvghRhxBmWFixQyt+X4s5VAJxfjie/+VXHsveC5v2/hZ1hzcRMrJYWhFZsklvGKk0Urxy5aLcNMrMbPHubjvGd5x5IcN6+MpeOhnfh0A3n4JxCwwDehuglCd7fDPO6PsHTYwtOKhKz9M0Tr5+w+VjhId3UGh85YZTfwVr4Q2ouPzLcrP/NVWrfVV0y5oDpi1TmqNaY/ghdtPO5+kfoVGzdvX/+KTNC1ZxaB3suFY733wXJcDO19g57ObUPlR/uqBh1jUlqRveIyB/qO0xEIo5aGUxjI0nlJopfyHtVIopRgeGuLTf/ZJmpqa+ciHPsQ7L1rKgc1PcnTbZtJekeZihlQ5S0TZ7Ln0bsoXvoloKMTKH3+ezsPPNazToIrx8d1tRD2XsOfx0IZhIlPYpo9m2vmut5RyqonL43neqQ/S5OTpNm2sOtFVFPzOnqVYSqEiUf7n8iMsCVUalvljt4v/Fr2Rcn6MwQO7WHnxFdz+ng9y89XXYllhPM/j8W99nd4L1nD5tTcBvpGUydk8uWUzdqlILtaJDPWzdPQABopti3+NYvjE9xG3x+jMHWFJW5xcspNtBf87UfueRrkOphX2j5BFKTtGODNAjztKU3aAC7xBeu0BPvWSsHp0kOWlHPde49LRwBE05po8MHgRT7gX4BgW2UgTx5KLGtY7nNuLG+lChZsbC3uazKVOisiW6I1/fuV081VefASVP/aGieZ2zo2J+Lp3zGo1h1U4iOEWqTSvP33aauPVZh3H2fQgeC4t199NadnbgInjpJOHF27d0H1S7+ifvvq3dHT1sPbWExPE6oc86qm5XAFe/MKDLNv4AIv1QMP73D8Ej73kvw8Z8J5roOxCxYGK6x+uAjTsOArHq6MGy9thcQvkK/6D3jTAFP+15MDLx05c423r/c9s90SZtWMw55cpVhgzlQSnjJubODRhmf4Deaxuafedl0JXE6QaTL5+7lV45gCE4nE29IZ5y5KT4zSUbNDAlzf5rwK87zoaNjQAmwdjPLXLQVyXVR3wptW+4aC0X/9Mwb+/kgtPDUV5Pb6EI9FmVKUPFUnjxZbRUxnmHdYebklnaYnDD3bAoYxf/gNXf5xc5OSLR0e3EctsxU6soNB587QnhMZG/h3QlNquAZF5Z0w0915BuWX6S44B0Ir4yL9TSa3Bi0ycYFxbAVX/P0w0Jl559H+Qy5fouOMjDV3mNVf5kV27CG39e0ojRwFYfuEGll+4gaVr1hNdewPAuJevfijyJEqjdKQSvPLg57j++QemrNb/exFerTYPlyyGq3shV/Z1S6p6VHYhV4Kn6rz0Vy7zjdVQVRejlq8fTVH4xQHYO3iizNvrmrBcGbIl//dre7Bx94nPrl0BluGfVxqiLQni6WZ6GOV+4xYejV2CLo1yj/cCNxv9iFuh4jiMKYODbpRoZYxWU/Gva+/mox//M1pb21j7lXvYXg6T7XuNDcWDLDdOeCI/0PQuDq28iXjHYr7w/CdZMbp3gmwysQ4Q4but1/FY9CJ0Mc+vDb3IJ51nMKZ49D3yNGTLvp7bzSlGHahYLXRGHa6IjXBll0NXE3xrC7xeXeSyp3UV37jo3ScXplxSAxvRCPnuW6e/IkPZRMdeGZ8QDoExcTZ4w3kmzpTJ8xBU/8uMZitUskWus37Jc+5NU6avz3fDFSeWjY3s2UIomuR45ESshdONqS6J2Lx6713c4e1laSvkKlA2E+jOXuyulXhtPQwNjLBj115ePXKIktaEe9chrV2MuUKh7KHFRBsGOt5GTjWhtYcHKDwSqSiVXY+jKnk0Ct21HmvFDYSUqh4uIc/FUh6GYeJFkrihCM2LWvGsKG4kRtEpc/jZx9E9l2Iu9+d1iOdiuiUi2cOE7DFUvohpxDC1X2bcLdFeyrDCydA79iqLwhV6wkWaI5pMWThYjFMeK2FohWVCa9xvWE0DMiToM9vJWs20F/oJjY0S8hyUCEu6wgxKimLRoamcpSfl542E4LUROJaFfKIdL2ShDJOx5kX0W62MpLo5qCKMelnsUIqQO4pV6qPQcRPaiCCq4scnqX23xWGibplcOIlrWCgxKIei6Aa9a/HK/hK26Sw/q2fSmvb5ZkzMWienEaeiNmeiZiTs+MVLXJZ5FMMw2Nr1+xPS1gx8rRWjr7yAF++iuX8jUcuj+bI7cMaGGB0ew1x184R8PZPmAU1mVUqTvPNy7rkKiravk/kKVJId2K2L8aJJjg7ksG2PURuOJ9rJVfIUhw4RrhQxQnEq0RZCyoNQjFI4QbGUxXUyiHYAEISw8ggjhMKteLFWTA1pr0hLfoRuJ0N7TFN0YKwEJTPKWFMXlUiSSiROxXOwtYepo6TKWexQBFN5pMf6SJWz1Wv4D+fBeJqjiUXcs3yEt7ccbVjnbZkQDw5dRG7xRax3+vhs66YJnxcqcDQLSsHjOyAfjlEUg49cXKCnGUaL4InQHBNipj+h/CfZbn6+o0BrKc8Fac1dl0PZOWEUZUv+0ZeF550m9kRjbO+9nWyyd+LNaU1HaYhbCrtwciXCdgnLc+hL9fDkstmvHDkTAmNi9szKmBCR24EvAj3AD4B7tdZTzsgxUj06evG7EeXMKEgMQDi3Dye+9IwCldRP9jr2/HNcF3q6YbrJhsVJ5XQvI5TZQ2h4O6IcShf+Hhi+NXyqGd/FA1sZ+snX6MwOE1cKOpdwwUcexG3x89TGGJVr0/fMD7F3/gDDyVFqvhhlJkE0ojV+k6HxrBacxMmKGDn+ErHsTgxto8y4v3GPVn5AGNT4+3LrZScF1olkdxIfed5PByizahhpBdobbxyVGa/mFUT7powfcKaaDoWhPOJuhaJhoNGI9rCUS9RzCZlJRrvfTC6cxGsQLEa0QiP+Q0krotldxDNbaHJtUkoIR7oZbL+coXgH5dDU3724BZqO/hDTrcrWiKDMGIXOm2cc5yE6uoNKcuWMg42Fin24sUXjPf85brimrZOJtb8x42WvtV6iHVtCpeXi0yZfdPV14+97X/x8wzTj+qg94jJE+NhzGKURKskLqCRXo80IZs8aP3qjGZlw36eK/zI+IbBvjKuf/QaVUBhnYBvD2sG65zMcLU7sFAwfHR73rIRKx4hltmBVBrFj/tJOQWEnV/rLO7UmnN9PPLMFLYKdWIl4FTyr2Y+voh1EOYhy/feeTcyzKXfeghKTgpVAi2DYoyRGnsUq+UaBZzUDAspB8NuDZbZDt12hydOsLmaJVSOAdjVBW9xvLUyBWBjaE76t93I/HKn2+C0TetsgnfQ9eiMFOHDc4Fi8G9u0WJTvHy8zasGwJBDlkXDLCNAU842OsgOOAg/IRFKMxjs5HmkmG2kmE23FM0wiTpHBymuUPd8zqYwwyoyjrGbfqzADxC0Qze6i1H7NjPKjXEKVIV8nq7xRjYnp6vtcMmNjQkRagQPAHwCbgIeBPq31x6fKY7at0Mmb/wtt6SSS8uMenHp5YAOcEoQiJ7lk09V15TXlP1NDYirqDQyzPEhy8ElMN0eu6zac2CIwrKn3CxjZTTKUx1hzK2O7fok1uBWv4pzeRe7ZRLPbieRfw4kvpdR6ebWnXD3EmDq/somO7kBUBS/adeaxDarBo6LZHbjRRZSaLyE2tgMn3IlVGSCS24PGGF8bX4s+qsUAMf013mL4QXuq96cxJ6ShZiScIeKViYy9Qjh/ANPJUuh4EyDYyZVnVI54FWLHX8Aqvk6++zaUGUcb1ozjVYhXmVV+szyIF+mY8zkTM9XJpb/5MSS9CqnW71Q6mZ4cv0F5hIa24XZcAsbkhbw+NZ08E0NiMvl8nqGhIRzHwY2k8awWRFUQr4KhbFQoQW7RHePpGy0TPtXSYbM8jAol/M7JaX5bZnmIWOZ5QpUM+UW34YbbQEIT8ykX0a5vEI/tJpLbSyF9PU5i+SnLNuwssex2DCdHJbGCaO4VDK9Erus2VLgZLSFAsIqH0UAsuxOr3A9GjA4dI13O0mHnaXZsDKBshslaMUIYeGaYY/E0Sc8l5dqMRZpptfOkS8c5klrMgZYVHG5ahmP6359oTWv5OAmnyECiE9sMg9akSyOszB5kca4PT0zy4tLvDfF68woqyZXYid6GQw7iVYiNbCZc6iPfebM/vwZmHHjQDyXuzNxTqD3MSgYvemIY+41oTMxE3+eS2RgT7wN+T2t9a/X/K4EfaK2nDKVmtq3Qibd9Zkq3aL37c6qlgmpoLygP6VyH1JVRy7d9y2vjZcHMDIlGKKUYGhrCMAzS6fSEa9cMD7OSITG0iZDtD8K7kTTKONGL1oZFoestU16jNjYvaDSgrBb8fgagNU58KcX0dQ3zRsb2EB95zm/IACfSWX34+Q9yjVBu2TB1OGytiY5uJzb6IqI9NAZuuB3DLWCoIgJ4ZgInvqRaJlT/THwVP9bl5PMqlDijeS4T78kPsxvNvowXbqOQvuG0Hi3xSkRHdxId2w3aodxyGcqMYSeWz2wfAu0Rye3FjvfOeB8Dwz6OCqXGhzrm0JiYuU5OweS4KjAxZkHfq324L/wLRs8lGEuvQsyTDYqa8VEzRK4c+N/TqpdSikKhQDKZnKB3p+J03ka0JnZ8K4YzRqHzltMaiuIWSA78fDwyqzJjaCNMvuPmCQ8lv2yPxNDTRPJ+YDx/mDJSfW+gxQIjhDIi5BfdjlkeItX/I4zqhmXKCENthVG1vlorDGUjqGqLIAgaz4zjRrvRhuUbHHURJU/c/ISajL+z470n3/uZoD2i2ZdxYt3VibdTyy5UHiB6/CXCpSN4Rpxy6yWAgTYjMwvmpjVW6XWs0lGKbdfMPKDdORx6nENjYtr6PpfMZh3OBuDFuv93Al3ycGIlAAAHWElEQVQiktRa5xtl0E4FdeDZKSdgHuvbT23O4FYaz2PQ+3chysY5nJ1wfrgurdO3n2N9+7ku9DS9Z2mlkWEYdHU13huiZqxoU1PsiDEyEsVxHJZ0RMfXzQNs9y475TXKLZdiJ1ayLPsjkskkyeTkeAgO0Ngw0q2aXCjNyMgIkUiEdPrEg2+bewWgUeYp3PQilJvXgxhEszuw40spt1yK4eSIjr1MuHiY5pjQlJroQZtsjO7z1lFvAFXfzKwXojXajKGNSDUEd+OVKyejqge+a1nMukZ4eohyEWXDjHL7RHL7EGVX90WZ0731ZqST5s7/O+UEzJpOTqWPuCWig4dwczalAXfcO1HzDNbHVanp5HQxDINUanohzM/kOl67x7axJWdU3rXRF9DLmigUTAqFAh0dHf7yU16pHpPoMSmVlpLJZEin00QiVWNCa5RSbHWuGt8l1Yt2kF16d3XPmiKF9I0T943QGsMZIzq6jUh+P8pqorvFX6kRCoUwjFNvXLffW9Pw/LRCUNcjJm6kHaoeyFPheyz956EIiPIAbxZ6oBHPBu0xY53Uinhms2+MTOFNO8sknH3fn34u97QbmU1b3+eS2XgmHgEOaa0/W3fOAXq11kfrzn0QqO3CsxbYM/PbnTZpaBjnaCETyKQx51Iuq4FntdZ3nDblNHgD6GTw22tMIJfGnEu59GqtZ+CmOT0i0otfl+mSAW7jhK4CPKy1frha7hnp+7liNv32UWB8eryIhKvlTdi9plrxh2dxnRkjIlvmy6z5+UIgk8acJ3KZ1zp5nsj4rBPIpTHni1y01oeAQzPMfipdPSN9P1fMxuf6ClA/fftCYJ/WujRF+oCAgLkl0MmAgIXDvNL32RgTjwE3ichN1VmlnwP++ezcVkBAwAwIdDIgYOEwr/R9xsaE1noEeB/wj8DrwCBw/1m6r7PFr2R4ZZ4TyKQxb3i5vAF08g0v4zkikEtjArmcgvmm7+c0AmZAQEBAQEDA+cecrlMLCAgICAgIOP8JjImAgICAgICAWTHvjQkReZ+IHBSRvIhsEpG1ItIhIo+JSFZEhkTkIRE/jquIrBCRZ0SkJCKbReTC6vmEiDwhIoMi8u7qufeLiBIRd9LRIArN/EJEPioix0RkTES+LyKLxOfBqlyOisiH6tKf93KZQiZxEfl69Vx/9bdiVdOf9zI52wT62JhAHxsT6OTCYV4bEyKyGvgS8MdAB/Aj4F+Av8RfY9sNXAa8FXhPNds/4scp7wIeBf5P9fx7gW8Ca4D3113mCa11aNKxbi7rNVtE5GLgM8Cd+Bu85IAH8GO03wqsB24HPisil1eznddyOYVM7gPW4cvkMuAa4MPVbOe1TM42gT42JtDHxgQ6ubCY18YE8Bbg51rrf6uunf0b4FLAxb/36uYTmEBGRJYBlwN/qbUeA/4WWC4i6+rSnaUA279S3gR8X2u9uRo29ZvARfgK94DWuk9rvQNfEd+1QOQylUxuAz6vtT6ite4H/h546wKRydkm0MfGBPrYmEAnFxDz3Zh4DPiTuv+vBIr4PaE3A3n8JTF9+NuvXgrs1lpXALTWCj+wxyrgG/i9pZeBvztH9z9XPAJ8AEBE2vHr9UtOjtW+C7/uC0EuU8nkD4En6tJdBRxlYcjkbBPoY2MCfWxMoJMLiHltTGitB7TWBwFE5LeAx/FdZA8Cm4EWfHdZL76brAnITiomBzRprfNa67dqrTu11t+u+/w2ESlPOj4xtzWbHVprR2tti8gH8GPX34nvbp5c/1z13Hkvl6lkorXepbXOVcdc/xdwF/DfWQAyOdsE+tiYQB8bE+jkwmLeu4xEJI3vBrsSuFdr/T0RuR+4XmudBbLVH+TtwNeoi1VeJc6pY5X/RJ/lDZfOFVrrR0TkG/jW/2P4PcP6+tfqPsoCkctkmYjIIuAm4OvADuAKrfUREVnPApHJ2STQx6kJ9LExgU4uDOa1Z0JEEsAzwAiwTmv9vepHk/fcdYAC/u6HF4r4+9tWX9cC28/NHZ8bRORTIvJegOrY9VeANuAIE2O1rwe2sQDkcgqZ3AV8B/hTrfVvaq2PVLOc9zI52wT62JhAHxsT6OTCYl4bE/hjZMe01n+gJ+7P/jjwFyLSIv72rn8MfEdrvR/YC/xnEYkBfw7s1Fr3nfM7n1uGgPtEZKWIRIFP4Fv4XwI+ISJtInItvvy+vUDkMpVMPgb8J631t+oTLxCZnG0CfWxMoI+NCXRyIaG1nrcH8EVA4c8Wrz96gX/A7yG9DvzXujxr8MdvS8BT+Hu7T1X++6cof/hXXffTyCUEfAHoxx9j/Df8SUomfgOWq8rldxeKXE4hk3yDevx0IchkDmQc6OP0fnsLVh9PI5dAJ8/DI9ibIyAgICAgIGBWzPdhjoCAgICAgIB5TmBMBAQEBAQEBMyKwJgICAgICAgImBWBMREQEBAQEBAwKwJjIiAgICAgIGBWBMZEQEBAQEBAwKwIjImAgICAgICAWREYEwEBAQEBAQGz4v8Do06jD7Rw8W4AAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(0,51,5)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,5]+[i for i in range(7,29,3)]\n", + "quiver_scale = .05\n", + "quiver_shaft_width = .25\n", + "quiver_key_scale = 0.5\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*13\n", + "quiver_head_length = quiver_shaft_width*13\n", + "\n", + "for t_idx in range(times_to_plot.__len__()):\n", + " t = times_to_plot[t_idx]\n", + " ax = fig.add_subplot(nrows,ncols,t_idx+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " cldfra_400_lat_mean[t,:,:]*100.,\\\n", + " levels=levels,\\\n", + " cmap='Blues_r',\\\n", + " extend='max')\n", + "\n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_lat_mean[t,z_indices,::every_nth_lon],\\\n", + " wa_diffs_lat_mean[t,z_indices,::every_nth_lon]*10.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width,\\\n", + " headlength=quiver_head_length)\n", + " \n", + " if t_idx==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_lat_mean[t,:]/1000.,c='darkred', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_lat_mean[t,:]/1000.,c='orangered',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " #ax.set_ylim(1013.25,700)\n", + " ax.set_ylim(0,20)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('hPa', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t_idx]+') day 1, hour '+'{:02d}'.format(times_to_plot_local[t_idx]), \\\n", + " x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label('%', fontsize=fontsize)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figureXX_cldfra_pblh_cross_sections_CONTROL_DAY1_upto20km.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + 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+ "seaborn.choose_diverging_palette()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# temperature plot" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-07T17:50:17.577528Z", + "start_time": "2018-06-07T17:49:41.457387Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-1.,1.1,0.2)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_scale = .25 # 0.05 for 850-600, 0.1 for below 850\n", + "quiver_shaft_width = .25#.75\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*15\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t in range(8):\n", + " ax = fig.add_subplot(nrows,ncols,t+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " tk_diffs_array[t],\\\n", + " levels=levels,\\\n", + " cmap='PuOr_r',\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_array[t][z_indices,::every_nth_lon],\\\n", + " wa_diffs_array[t][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_array[t]/1000.,c='dodgerblue', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_array[t]/1000.,c='darkturquoise',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout()\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label(DEGREE_SIGN+'$\\,$C', fontsize=fontsize)\n", + "cbar.set_ticks(levels)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=1, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figure3supp_tk_pblh_cross_sections.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-07T19:25:43.577915Z", + "start_time": "2018-06-07T19:25:08.400847Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "\n", + "y_zero = numpy.zeros(xlong.shape[1])\n", + "levels = numpy.arange(-1.,1.1,0.2)\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "every_nth_lon=10\n", + "every_nth_z=1\n", + "z_indices=[1,3,5,6,7,8,9,10,11,12,13,14,15,16]\n", + "quiver_key_scale = 1\n", + "quiver_color = '0.1'\n", + "quiver_head_width = quiver_shaft_width*13\n", + "quiver_head_length = quiver_shaft_width*13\n", + "\n", + "nrows=4;ncols=2\n", + "ax_list = []\n", + "\n", + "for t_idx in range(times_to_plot.__len__()):\n", + " t = times_to_plot[t_idx]\n", + " ax = fig.add_subplot(nrows,ncols,t_idx+1)#, projection=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xx+360.,\\\n", + " geopot_400_lat_mean[0,:,:]/(g*1000.),\\\n", + " tk_diffs_lat_mean[t,:,:],\\\n", + " levels=levels,\\\n", + " cmap='PuOr_r',\\\n", + " extend='both')\n", + " \n", + " quiver_plot = ax.quiver(xx[z_indices,::every_nth_lon]+360.,\\\n", + " geopot_400_lat_mean[0,z_indices,::every_nth_lon]/(g*1000.),\\\n", + " ua_diffs_lat_mean[t,:,:][z_indices,::every_nth_lon],\\\n", + " wa_diffs_lat_mean[t,:,:][z_indices,::every_nth_lon]*100.,\\\n", + " units='xy', scale=quiver_scale, \\\n", + " color=quiver_color, zorder=3, \\\n", + " width=quiver_shaft_width, headwidth=quiver_head_width)\n", + " if t==1:\n", + " quiver_plot_for_key = quiver_plot\n", + "\n", + " ax.plot(xx[0,:]+360.,pblh_400_lat_mean[t,:]/1000.,c='dodgerblue', label='PBLH cont.', zorder=3, lw=2)\n", + " ax.plot(xx[0,:]+360.,pblh_1000_lat_mean[t,:]/1000.,c='darkturquoise',ls='--', label='PBLH phys.', zorder=3, lw=2)\n", + "\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_ylim(0,3.25)\n", + " ax.set_xlim(xlong.min()+67.+360.,xlong.max()+360.-7.)\n", + " \n", + " ax.set_yticks([0,1,2,3])\n", + " ax.set_xticks([280,300,320])\n", + " ax.set_xticklabels(xticks_format)\n", + " if t in [0,2,4,6]:\n", + " ax.set_ylabel('km', fontsize=fontsize)\n", + " \n", + " ax.text(s='('+string.ascii_lowercase[t_idx]+') day 1, hour '+'{:02d}'.format(times_to_plot_local[t_idx]), \\\n", + " x=0, y=1.02,\\\n", + " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", + " \n", + " ax.set_facecolor('0.25')\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout()\n", + "\n", + "top_pos = ax_list[1].get_position()\n", + "bottom_pos = ax_list[7].get_position()\n", + "cbar_axes = fig.add_axes([bottom_pos.x1+0.05, bottom_pos.y0, 0.03, top_pos.y1-bottom_pos.y0])\n", + "cbar = mp.colorbar(contour_plot, orientation='vertical', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_label(DEGREE_SIGN+'$\\,$C', fontsize=fontsize)\n", + "cbar.set_ticks(levels)\n", + "\n", + "handles, labels = ax_list[0].get_legend_handles_labels()\n", + "legend = ax_list[0].legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(1,1.02), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax_list[0].transAxes, \\\n", + " loc='lower right', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "quiver_key = ax_list[1].quiverkey(quiver_plot_for_key, \\\n", + " coordinates='axes', \\\n", + " X=.99, Y=1.1, labelpos='E', \\\n", + " label='', \\\n", + " U=quiver_key_scale)\n", + "quiver_key_text = ax_list[1].text(s=str(quiver_key_scale)+' m s$^{\\,-1}$',\\\n", + " x=0.9, y=1.02,\\\n", + " ha='right', va='bottom',\\\n", + " transform=ax_list[1].transAxes, \\\n", + " fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figure3supp_tk_pblh_cross_sections_DAY1.png', dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/gp1_arm_site_data.ipynb b/gp1_arm_site_data.ipynb new file mode 100644 index 0000000..4e2467e --- /dev/null +++ b/gp1_arm_site_data.ipynb @@ -0,0 +1,244 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 122, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T06:43:27.559694Z", + "start_time": "2018-08-17T06:43:27.555107Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "\n", + "import glob\n", + "import xarray\n", + "import matplotlib.pyplot as mp\n", + "import matplotlib.cm as mcm\n", + "import datetime\n", + "\n", + "import cmocean\n", + "import netCDF4" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T06:11:29.310677Z", + "start_time": "2018-08-17T06:11:29.172210Z" + } + }, + "outputs": [], + "source": [ + "file_list = numpy.array(sorted(glob.glob('/beegfs/DATA/pritchard/blangenb/ARM_DATA/*c1*.cdf')))" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T06:15:19.332405Z", + "start_time": "2018-08-17T06:15:19.211485Z" + } + }, + "outputs": [], + "source": [ + "file_datetimes_strings = [i.split('/')[-1].split('.')[2:4] for i in file_list]\n", + "\n", + "file_datetimes = numpy.array([datetime.datetime.strptime(i[0]+i[1], '%Y%m%d%H%M%S') for i in file_datetimes_strings])\n", + "file_datetimes_local = file_datetimes-datetime.timedelta(hours=4)\n", + "\n", + "fmaaso_indices = numpy.array([i.month in [2,3,4,8,9,10] for i in file_datetimes_local])\n", + "file_list_fmaaso = file_list[fmaaso_indices]\n", + "file_datetimes_local_fmaaso = file_datetimes_local[fmaaso_indices]" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T06:15:38.664382Z", + "start_time": "2018-08-17T06:15:38.651804Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 1, 2, 7, 8, 10, 11, 13, 14, 19, 20])" + ] + }, + "execution_count": 84, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "unique_hours = numpy.unique([t.hour for t in file_datetimes_local_fmaaso])\n", + "numpy.unique([t.hour for t in file_datetimes_local_fmaaso])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "group by unique hours above, take means, then plot PBL heights" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T06:25:26.564692Z", + "start_time": "2018-08-17T06:23:17.723903Z" + } + }, + "outputs": [], + "source": [ + "pbl_height_h_array_list = []\n", + "pbl_height_ll_array_list = []\n", + "pbl_height_br50_array_list = []\n", + "pbl_height_br25_array_list = []\n", + "\n", + "for h in range(unique_hours.__len__()):\n", + " specific_hour = unique_hours[h]\n", + " time_indices = numpy.array([t.hour==specific_hour for t in file_datetimes_local_fmaaso])\n", + " pblh_array_h = numpy.zeros(numpy.sum(time_indices))\n", + " pblh_array_ll = numpy.zeros(numpy.sum(time_indices))\n", + " pblh_array_br50 = numpy.zeros(numpy.sum(time_indices))\n", + " pblh_array_br25 = numpy.zeros(numpy.sum(time_indices))\n", + " \n", + " files_to_open = file_list_fmaaso[time_indices]\n", + " \n", + " for i in range(files_to_open.__len__()):\n", + " ds = xarray.open_dataset(files_to_open[i])\n", + " pblh_array_h[i] = ds['pbl_height_heffter'].values\n", + " pblh_array_ll[i] = ds['pbl_height_liu_liang'].values\n", + " pblh_array_br50[i] = ds['pbl_height_bulk_richardson_pt5'].values\n", + " pblh_array_br25[i] = ds['pbl_height_bulk_richardson_pt25'].values\n", + " ds.close()\n", + " pbl_height_h_array_list.append(pblh_array_h)\n", + " pbl_height_ll_array_list.append(pblh_array_ll)\n", + " pbl_height_br25_array_list.append(pblh_array_br25)\n", + " pbl_height_br50_array_list.append(pblh_array_br50)" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T06:41:26.048495Z", + "start_time": "2018-08-17T06:41:26.031539Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", + " This is separate from the ipykernel package so we can avoid doing imports until\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", + " after removing the cwd from sys.path.\n" + ] + } + ], + "source": [ + "pblh_h_means = numpy.array([numpy.nanmean(height_vals) for height_vals in pbl_height_h_array_list])\n", + "pblh_ll_means = numpy.array([numpy.nanmean(height_vals) for height_vals in pbl_height_ll_array_list])\n", + "pblh_br25_means = numpy.array([numpy.nanmean(height_vals) for height_vals in pbl_height_br25_array_list])\n", + "pblh_br50_means = numpy.array([numpy.nanmean(height_vals) for height_vals in pbl_height_br50_array_list])" + ] + }, + { + "cell_type": "code", + "execution_count": 153, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T06:59:11.624796Z", + "start_time": "2018-08-17T06:59:11.423370Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0,1.02,'PBLH at Brazil ARM site (2014-2016)')" + ] + }, + "execution_count": 153, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.5,4))\n", + "\n", + "ax = fig.add_subplot(111)\n", + "ax.plot(unique_hours+0.5, pblh_h_means/1000., label='h', c=mcm.magma(0.2))\n", + "ax.plot(unique_hours+0.5, pblh_ll_means/1000., label='Liu and Liang', c=mcm.magma(0.3))\n", + "ax.plot(unique_hours+0.5, pblh_br25_means/1000., label='Bulk Ri 0.25', c=mcm.magma(0.5))\n", + "ax.plot(unique_hours+0.5, pblh_br50_means/1000., label='Bulk Ri 0.5', c=mcm.magma(0.7))\n", + "\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlim(6,18)\n", + "ax.set_xticks([i for i in range(6,19,2)])\n", + "ax.set_ylim(0,3)\n", + "ax.set_yticks([i for i in numpy.arange(0,3.1,0.5)])\n", + "ax.set_xlabel('hour of day', fontsize=fontsize)\n", + "ax.set_ylabel('km', fontsize=fontsize)\n", + "\n", + "ax.text(s='PBLH at Brazil ARM site (2014-2016)', x=0, y=1.02,\\\n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/gp1_calculations_for_SENSITIVITY_RUNS-Copy2.ipynb b/gp1_calculations_for_SENSITIVITY_RUNS-Copy2.ipynb new file mode 100644 index 0000000..c2dab1b --- /dev/null +++ b/gp1_calculations_for_SENSITIVITY_RUNS-Copy2.ipynb @@ -0,0 +1,5760 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import libraries" + ] + }, + { + "cell_type": "code", + "execution_count": 403, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:41:20.032324Z", + "start_time": "2018-08-10T17:41:20.001458Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import matplotlib.colors\n", + "import scipy.stats\n", + "import itertools\n", + "import string\n", + "import matplotlib.patches\n", + "import glob\n", + "import matplotlib.gridspec\n", + "import scipy.ndimage\n", + "\n", + "import wrf\n", + "import netCDF4\n", + "import cmocean\n", + "\n", + "import pandas\n", + "\n", + "import matplotlib.ticker\n", + "import cartopy.mpl.gridliner #import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n", + "\n", + "import mpl_toolkits\n", + "import cartopy\n", + "import cartopy.io.shapereader\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 404, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:41:26.549976Z", + "start_time": "2018-08-10T17:41:26.541988Z" + } + }, + "outputs": [], + "source": [ + "run_info = 'FMAASO'\n", + "skip_time=0" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# opening mean fields" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## control data" + ] + }, + { + "cell_type": "code", + "execution_count": 405, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:41:31.001622Z", + "start_time": "2018-08-10T17:41:30.777382Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "001 001_with_extras 001_with_xkzs 001_with_xkzs_and_fxpbls\r\n" + ] + } + ], + "source": [ + "!ls /beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/" + ] + }, + { + "cell_type": "code", + "execution_count": 406, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:41:31.273643Z", + "start_time": "2018-08-10T17:41:31.183598Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_with_extras'\n", + "file_list = sorted(glob.glob(root_dir+'/'+'wrfout*'))\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 407, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:44:46.476516Z", + "start_time": "2018-08-10T17:41:31.338039Z" + } + }, + "outputs": [], + "source": [ + "ptot_400 = wrf.getvar(ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_ptot_400_sensitivity.npy', ptot_400)\n", + "\n", + "geopot_400 = wrf.getvar(ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_geopot_400_sensitivity.npy', geopot_400)\n", + "\n", + "tk_400 = wrf.getvar(ds_list, 'tk', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_tk_400_sensitivity.npy', tk_400)\n", + "\n", + "ua_400 = wrf.getvar(ds_list, 'ua', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_ua_400_sensitivity.npy', ua_400)\n", + "\n", + "va_400 = wrf.getvar(ds_list, 'va', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_va_400_sensitivity.npy', va_400)" + ] + }, + { + "cell_type": "code", + "execution_count": 408, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:44:47.528116Z", + "start_time": "2018-08-10T17:44:46.484741Z" + } + }, + "outputs": [], + "source": [ + "ptot_400 = numpy.load('DATA_ptot_400_sensitivity.npy')\n", + "geopot_400 = numpy.load('DATA_geopot_400_sensitivity.npy')\n", + "tk_400 = numpy.load('DATA_tk_400_sensitivity.npy')\n", + "ua_400 = numpy.load('DATA_ua_400_sensitivity.npy')\n", + "va_400 = numpy.load('DATA_va_400_sensitivity.npy')" + ] + }, + { + "cell_type": "code", + "execution_count": 409, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:44:48.949641Z", + "start_time": "2018-08-10T17:44:47.536291Z" + } + }, + "outputs": [], + "source": [ + "cont_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 410, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:44:50.519055Z", + "start_time": "2018-08-10T17:44:48.957919Z" + } + }, + "outputs": [], + "source": [ + "time = cont_mfds['Times'].values\n", + "xlat = cont_mfds['XLAT'].values[0,:,:]\n", + "xlong = cont_mfds['XLONG'].values[0,:,:]\n", + "landmask = cont_mfds['LANDMASK'].values[0,:,:]\n", + "landmask_midpoints = landmask[1:,1:]" + ] + }, + { + "cell_type": "code", + "execution_count": 411, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:52:44.471897Z", + "start_time": "2018-08-10T17:51:53.159322Z" + } + }, + "outputs": [], + "source": [ + "qvapor_400 = cont_mfds['QVAPOR'].values\n", + "u_400 = cont_mfds['U'].values\n", + "v_400 = cont_mfds['V'].values\n", + "w_400 = cont_mfds['W'].values\n", + "t_400 = cont_mfds['T'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 412, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:52:46.212015Z", + "start_time": "2018-08-10T17:52:44.480185Z" + } + }, + "outputs": [], + "source": [ + "pblh_400 = cont_mfds['PBLH'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 413, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:52:46.227591Z", + "start_time": "2018-08-10T17:52:46.220159Z" + } + }, + "outputs": [], + "source": [ + "rainc_400 = cont_mfds['RAINC']\n", + "rainnc_400 = cont_mfds['RAINNC']" + ] + }, + { + "cell_type": "code", + "execution_count": 414, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:55:09.950905Z", + "start_time": "2018-08-10T17:52:46.235839Z" + } + }, + "outputs": [], + "source": [ + "rqvcuten_400 = cont_mfds['RQVCUTEN'].values\n", + "rucuten_400 = cont_mfds['RUCUTEN'].values\n", + "rvcuten_400 = cont_mfds['RVCUTEN'].values\n", + "rthcuten_400 = cont_mfds['RTHCUTEN'].values\n", + "\n", + "rqvblten_400 = cont_mfds['RQVBLTEN'].values\n", + "rublten_400 = cont_mfds['RUBLTEN'].values\n", + "rvblten_400 = cont_mfds['RVBLTEN'].values\n", + "rthblten_400 = cont_mfds['RTHBLTEN'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 415, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:38.462033Z", + "start_time": "2018-08-10T17:55:09.959001Z" + } + }, + "outputs": [], + "source": [ + "xkzq3d_400 = cont_mfds['XKZQ3D'].values\n", + "xkzh3d_400 = cont_mfds['XKZH3D'].values\n", + "xkzm3d_400 = cont_mfds['XKZM3D'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 416, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:48.410388Z", + "start_time": "2018-08-10T17:56:38.470187Z" + } + }, + "outputs": [], + "source": [ + "hfxpbl2d_400 = cont_mfds['HFXPBL2D'].values\n", + "qfxpbl2d_400 = cont_mfds['QFXPBL2D'].values\n", + "ufxpbl2d_400 = cont_mfds['UFXPBL2D'].values\n", + "vfxpbl2d_400 = cont_mfds['VFXPBL2D'].values\n", + "bfxpbl2d_400 = cont_mfds['BFXPBL2D'].values\n", + "we2d_400 = cont_mfds['WE2D'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 417, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:49.957152Z", + "start_time": "2018-08-10T17:56:48.418484Z" + } + }, + "outputs": [], + "source": [ + "deltaysu_400 = cont_mfds['DELTA_YSU'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 418, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:52.276344Z", + "start_time": "2018-08-10T17:56:49.965432Z" + } + }, + "outputs": [], + "source": [ + "qfx_400 = cont_mfds['QFX'].values\n", + "hfx_400 = cont_mfds['HFX'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 419, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:54.496863Z", + "start_time": "2018-08-10T17:56:52.284638Z" + } + }, + "outputs": [], + "source": [ + "hgamq2d_400 = cont_mfds['HGAMQ2D'].values\n", + "hgamt2d_400 = cont_mfds['HGAMT2D'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 503, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:08:18.455148Z", + "start_time": "2018-08-10T18:08:09.262212Z" + } + }, + "outputs": [], + "source": [ + "ri3d_400 = cont_mfds['RI3D'].values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## phys data" + ] + }, + { + "cell_type": "code", + "execution_count": 420, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:54.541036Z", + "start_time": "2018-08-10T17:56:54.505266Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_with_extras'\n", + "file_list = sorted(glob.glob(root_dir+'/'+'wrfout*'))\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 421, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:30.424992Z", + "start_time": "2018-08-10T17:56:54.549274Z" + } + }, + "outputs": [], + "source": [ + "ptot_1000 = wrf.getvar(ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_ptot_1000_sensitivity.npy', ptot_1000)\n", + "\n", + "geopot_1000 = wrf.getvar(ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_geopot_1000_sensitivity.npy', geopot_1000)\n", + "\n", + "tk_1000 = wrf.getvar(ds_list, 'tk', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_tk_1000_sensitivity.npy', tk_1000)\n", + "\n", + "ua_1000 = wrf.getvar(ds_list, 'ua', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_ua_1000_sensitivity.npy', ua_1000)\n", + "\n", + "va_1000 = wrf.getvar(ds_list, 'va', timeidx=wrf.ALL_TIMES).values\n", + "numpy.save('DATA_va_1000_sensitivity.npy', va_1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 422, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:31.465909Z", + "start_time": "2018-08-10T17:57:30.433187Z" + } + }, + "outputs": [], + "source": [ + "ptot_1000 = numpy.load('DATA_ptot_1000_sensitivity.npy')\n", + "geopot_1000 = numpy.load('DATA_geopot_1000_sensitivity.npy')\n", + "tk_1000 = numpy.load('DATA_tk_1000_sensitivity.npy')\n", + "ua_1000 = numpy.load('DATA_ua_1000_sensitivity.npy')\n", + "va_1000 = numpy.load('DATA_va_1000_sensitivity.npy')" + ] + }, + { + "cell_type": "code", + "execution_count": 423, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:32.668736Z", + "start_time": "2018-08-10T17:57:31.474975Z" + } + }, + "outputs": [], + "source": [ + "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 424, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:42.260667Z", + "start_time": "2018-08-10T17:57:32.676901Z" + } + }, + "outputs": [], + "source": [ + "qvapor_1000 = phys_mfds['QVAPOR'].values\n", + "u_1000 = phys_mfds['U'].values\n", + "v_1000 = phys_mfds['V'].values\n", + "w_1000 = phys_mfds['W'].values\n", + "t_1000 = phys_mfds['T'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 425, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:42.386125Z", + "start_time": "2018-08-10T17:57:42.268899Z" + } + }, + "outputs": [], + "source": [ + "pblh_1000 = phys_mfds['PBLH'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 426, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:42.402413Z", + "start_time": "2018-08-10T17:57:42.394643Z" + } + }, + "outputs": [], + "source": [ + "rainc_1000 = phys_mfds['RAINC']\n", + "rainnc_1000 = phys_mfds['RAINNC']" + ] + }, + { + "cell_type": "code", + "execution_count": 427, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:59.326420Z", + "start_time": "2018-08-10T17:57:42.408462Z" + } + }, + "outputs": [], + "source": [ + "rqvcuten_1000 = phys_mfds['RQVCUTEN'].values\n", + "rucuten_1000 = phys_mfds['RUCUTEN'].values\n", + "rvcuten_1000 = phys_mfds['RVCUTEN'].values\n", + "rthcuten_1000 = phys_mfds['RTHCUTEN'].values\n", + "\n", + "rqvblten_1000 = phys_mfds['RQVBLTEN'].values\n", + "rublten_1000 = phys_mfds['RUBLTEN'].values\n", + "rvblten_1000 = phys_mfds['RVBLTEN'].values\n", + "rthblten_1000 = phys_mfds['RTHBLTEN'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 428, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:58:06.143079Z", + "start_time": "2018-08-10T17:57:59.328864Z" + } + }, + "outputs": [], + "source": [ + "xkzq3d_1000 = phys_mfds['XKZQ3D'].values\n", + "xkzh3d_1000 = phys_mfds['XKZH3D'].values\n", + "xkzm3d_1000 = phys_mfds['XKZM3D'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 429, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:58:06.706604Z", + "start_time": "2018-08-10T17:58:06.151559Z" + } + }, + "outputs": [], + "source": [ + "hfxpbl2d_1000 = phys_mfds['HFXPBL2D'].values\n", + "qfxpbl2d_1000 = phys_mfds['QFXPBL2D'].values\n", + "ufxpbl2d_1000 = phys_mfds['UFXPBL2D'].values\n", + "vfxpbl2d_1000 = phys_mfds['VFXPBL2D'].values\n", + "bfxpbl2d_1000 = phys_mfds['BFXPBL2D'].values\n", + "we2d_1000 = phys_mfds['WE2D'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 430, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:58:06.892613Z", + "start_time": "2018-08-10T17:58:06.715066Z" + } + }, + "outputs": [], + "source": [ + "deltaysu_1000 = phys_mfds['DELTA_YSU'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 431, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:58:07.040960Z", + "start_time": "2018-08-10T17:58:06.901090Z" + } + }, + "outputs": [], + "source": [ + "qfx_1000 = phys_mfds['QFX'].values\n", + "hfx_1000 = phys_mfds['HFX'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 432, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:58:07.259777Z", + "start_time": "2018-08-10T17:58:07.049417Z" + } + }, + "outputs": [], + "source": [ + "hgamq2d_1000 = phys_mfds['HGAMQ2D'].values\n", + "hgamt2d_1000 = phys_mfds['HGAMT2D'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 504, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:08:43.785659Z", + "start_time": "2018-08-10T18:08:22.432440Z" + } + }, + "outputs": [], + "source": [ + "ri3d_1000 = phys_mfds['RI3D'].values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## define dx, dy" + ] + }, + { + "cell_type": "code", + "execution_count": 433, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:01:57.574681Z", + "start_time": "2018-08-10T18:01:57.571137Z" + } + }, + "outputs": [], + "source": [ + "dx = 50000. # 50,000 m or 50 km\n", + "dy = 50000." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# constants" + ] + }, + { + "cell_type": "code", + "execution_count": 434, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:01:57.862354Z", + "start_time": "2018-08-10T18:01:57.586912Z" + } + }, + "outputs": [], + "source": [ + "L_v = 2264705.0 # J/kg\n", + "c_p = 1005.7 # J/kgK\n", + "g = 9.80665 # m/s2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## get landmask" + ] + }, + { + "cell_type": "code", + "execution_count": 435, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:01:58.046861Z", + "start_time": "2018-08-10T18:01:57.864678Z" + } + }, + "outputs": [], + "source": [ + "landmask = cont_mfds['LANDMASK'].sel(Time=0).values" + ] + }, + { + "cell_type": "code", + "execution_count": 436, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:01:58.816463Z", + "start_time": "2018-08-10T18:01:58.049236Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 436, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.contourf(landmask);mp.colorbar()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# calculate MSE" + ] + }, + { + "cell_type": "code", + "execution_count": 437, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:02.060560Z", + "start_time": "2018-08-10T18:01:58.818603Z" + } + }, + "outputs": [], + "source": [ + "mse_400 = geopot_400 + L_v*qvapor_400 + c_p*tk_400\n", + "mse_1000 = geopot_1000 + L_v*qvapor_1000 + c_p*tk_1000\n", + "\n", + "numpy.save('DATA_mse_400_sensitivity.npy', mse_400)\n", + "numpy.save('DATA_mse_1000_sensitivity.npy', mse_1000)" + ] + }, + { + "cell_type": "code", + "execution_count": 298, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-16T03:28:12.919623Z", + "start_time": "2018-06-16T03:28:01.010452Z" + } + }, + "outputs": [], + "source": [ + "mse_400 = numpy.load('DATA_mse_400_sensitivity.npy')\n", + "mse_1000 = numpy.load('DATA_mse_1000_sensitivity.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "set up time/lev numbers" + ] + }, + { + "cell_type": "code", + "execution_count": 438, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:02.074461Z", + "start_time": "2018-08-10T18:02:02.068910Z" + } + }, + "outputs": [], + "source": [ + "ntime = 25\n", + "nlev = 29" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# calculate dtheta/dt for full, cu, and pbl schemes" + ] + }, + { + "cell_type": "code", + "execution_count": 439, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:02.434660Z", + "start_time": "2018-08-10T18:02:02.082606Z" + } + }, + "outputs": [], + "source": [ + "dthetadt_400 = numpy.zeros(t_400.shape)*numpy.nan\n", + "dthetadt_1000 = numpy.zeros(t_1000.shape)*numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 440, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:03.025531Z", + "start_time": "2018-08-10T18:02:02.443116Z" + } + }, + "outputs": [], + "source": [ + "for t in range(1,ntime-1):\n", + " dthetadt_400[t,:,:,:] = (t_400[t+1,:,:,:]-t_400[t-1,:,:,:])/7200.\n", + "for t in range(1,ntime-1):\n", + " dthetadt_1000[t,:,:,:] = (t_1000[t+1,:,:,:]-t_1000[t-1,:,:,:])/7200." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# dqvapor/dt for full, cu, and pbl schemes" + ] + }, + { + "cell_type": "code", + "execution_count": 441, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:03.289319Z", + "start_time": "2018-08-10T18:02:03.033875Z" + } + }, + "outputs": [], + "source": [ + "dqdt_400 = numpy.zeros(qvapor_400.shape)*numpy.nan\n", + "dqdt_1000 = numpy.zeros(qvapor_1000.shape)*numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 442, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:03.894489Z", + "start_time": "2018-08-10T18:02:03.298014Z" + } + }, + "outputs": [], + "source": [ + "for t in range(1,ntime-1):\n", + " dqdt_400[t,:,:,:] = (qvapor_400[t+1,:,:,:]-qvapor_400[t-1,:,:,:])/7200.\n", + "for t in range(1,ntime-1):\n", + " dqdt_1000[t,:,:,:] = (qvapor_1000[t+1,:,:,:]-qvapor_1000[t-1,:,:,:])/7200." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# duadt" + ] + }, + { + "cell_type": "code", + "execution_count": 443, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:04.151725Z", + "start_time": "2018-08-10T18:02:03.902941Z" + } + }, + "outputs": [], + "source": [ + "duadt_400 = numpy.zeros(ua_400.shape)*numpy.nan\n", + "duadt_1000 = numpy.zeros(ua_1000.shape)*numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 444, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:04.814072Z", + "start_time": "2018-08-10T18:02:04.160429Z" + } + }, + "outputs": [], + "source": [ + "for t in range(1,ntime-1):\n", + " duadt_400[t,:,:,:] = (ua_400[t+1,:,:,:]-ua_400[t-1,:,:,:])/7200.\n", + "for t in range(1,ntime-1):\n", + " duadt_1000[t,:,:,:] = (ua_1000[t+1,:,:,:]-ua_1000[t-1,:,:,:])/7200." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# dvadt" + ] + }, + { + "cell_type": "code", + "execution_count": 445, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:05.065669Z", + "start_time": "2018-08-10T18:02:04.822383Z" + } + }, + "outputs": [], + "source": [ + "dvadt_400 = numpy.zeros(va_400.shape)*numpy.nan\n", + "dvadt_1000 = numpy.zeros(va_1000.shape)*numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 446, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:05.710403Z", + "start_time": "2018-08-10T18:02:05.074859Z" + } + }, + "outputs": [], + "source": [ + "for t in range(1,ntime-1):\n", + " dvadt_400[t,:,:,:] = (va_400[t+1,:,:,:]-va_400[t-1,:,:,:])/7200.\n", + "for t in range(1,ntime-1):\n", + " dvadt_1000[t,:,:,:] = (va_1000[t+1,:,:,:]-va_1000[t-1,:,:,:])/7200." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# dmse/dt" + ] + }, + { + "cell_type": "code", + "execution_count": 447, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:05.967888Z", + "start_time": "2018-08-10T18:02:05.718634Z" + } + }, + "outputs": [], + "source": [ + "dmsedt_400 = numpy.zeros((ntime,nlev,xlat.shape[0],xlat.shape[1]))*numpy.nan\n", + "dmsedt_1000 = numpy.zeros((ntime,nlev,xlat.shape[0],xlat.shape[1]))*numpy.nan" + ] + }, + { + "cell_type": "code", + "execution_count": 448, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:06.612233Z", + "start_time": "2018-08-10T18:02:05.976569Z" + } + }, + "outputs": [], + "source": [ + "for t in range(1,ntime-1):\n", + " dmsedt_400[t,:,:,:] = (mse_400[t+1,:,:,:]-mse_400[t-1,:,:,:])/7200.\n", + "for t in range(1,ntime-1):\n", + " dmsedt_1000[t,:,:,:] = (mse_1000[t+1,:,:,:]-mse_1000[t-1,:,:,:])/7200." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "calculate lat lon stuff" + ] + }, + { + "cell_type": "code", + "execution_count": 449, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:06.627700Z", + "start_time": "2018-08-10T18:02:06.620664Z" + } + }, + "outputs": [], + "source": [ + "dry_lon_lo, dry_lon_hi, dry_lat_lo, dry_lat_hi = -60,-50,-10,10\n", + "wet_lon_lo, wet_lon_hi, wet_lat_lo, wet_lat_hi = -80,-75,-10,10\n", + "\n", + "dry_lon_lo_degE = 360+dry_lon_lo\n", + "dry_lon_hi_degE = 360+dry_lon_hi\n", + "\n", + "wet_lon_lo_degE = 360+wet_lon_lo\n", + "wet_lon_hi_degE = 360+wet_lon_hi" + ] + }, + { + "cell_type": "code", + "execution_count": 450, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:06.770195Z", + "start_time": "2018-08-10T18:02:06.635881Z" + } + }, + "outputs": [], + "source": [ + "lon_lo = dry_lon_lo\n", + "lon_hi = dry_lon_hi\n", + "lat_lo = dry_lat_lo\n", + "lat_hi = dry_lat_hi\n", + "\n", + "# lon_lo = wet_lon_lo\n", + "# lon_hi = wet_lon_hi\n", + "# lat_lo = wet_lat_lo\n", + "# lat_hi = wet_lat_hi" + ] + }, + { + "cell_type": "code", + "execution_count": 451, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:06.920096Z", + "start_time": "2018-08-10T18:02:06.778438Z" + } + }, + "outputs": [], + "source": [ + "landmask_indices = numpy.copy(landmask)\n", + "landmask_indices[landmask==1]=1\n", + "landmask_indices[landmask!=1]=0\n", + "landmask_indices = numpy.array(landmask_indices, dtype=bool)" + ] + }, + { + "cell_type": "code", + "execution_count": 452, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.025468Z", + "start_time": "2018-08-10T18:02:06.928141Z" + } + }, + "outputs": [], + "source": [ + "lon_indices = (xlong>=lon_lo)&(xlong<=lon_hi)\n", + "lat_indices = (xlat>=lat_lo)&(xlat<=lat_hi)\n", + "latlon_indices = (lon_indices)&(lat_indices)&(landmask_indices)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# take latlon means" + ] + }, + { + "cell_type": "code", + "execution_count": 453, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.168968Z", + "start_time": "2018-08-10T18:02:07.033407Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + } + ], + "source": [ + "duadt_400_latlon_mean = numpy.nanmean(duadt_400[:,:,latlon_indices], axis=2)\n", + "duadt_1000_latlon_mean = numpy.nanmean(duadt_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 454, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.294186Z", + "start_time": "2018-08-10T18:02:07.176823Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + } + ], + "source": [ + "dvadt_400_latlon_mean = numpy.nanmean(dvadt_400[:,:,latlon_indices], axis=2)\n", + "dvadt_1000_latlon_mean = numpy.nanmean(dvadt_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 455, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.497695Z", + "start_time": "2018-08-10T18:02:07.302358Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + " \n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", + " after removing the cwd from sys.path.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:5: RuntimeWarning: Mean of empty slice\n", + " \"\"\"\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:7: RuntimeWarning: Mean of empty slice\n", + " import sys\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:8: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + } + ], + "source": [ + "dthetadt_400_latlon_mean = numpy.nanmean(dthetadt_400[:,:,latlon_indices], axis=2)\n", + "dthetadt_1000_latlon_mean = numpy.nanmean(dthetadt_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "dqdt_400_latlon_mean = numpy.nanmean(dqdt_400[:,:,latlon_indices], axis=2)\n", + "dqdt_1000_latlon_mean = numpy.nanmean(dqdt_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "dmsedt_400_latlon_mean = numpy.nanmean(dmsedt_400[:,:,latlon_indices], axis=2)\n", + "dmsedt_1000_latlon_mean = numpy.nanmean(dmsedt_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "pblh, deltaysu" + ] + }, + { + "cell_type": "code", + "execution_count": 456, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.561655Z", + "start_time": "2018-08-10T18:02:07.505750Z" + } + }, + "outputs": [], + "source": [ + "pblh_400_latlon_mean = numpy.nanmean(pblh_400[:,latlon_indices], axis=1)\n", + "pblh_1000_latlon_mean = numpy.nanmean(pblh_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 457, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.680590Z", + "start_time": "2018-08-10T18:02:07.570006Z" + } + }, + "outputs": [], + "source": [ + "deltaysu_400_latlon_mean = numpy.nanmean(deltaysu_400[:,latlon_indices], axis=1)\n", + "deltaysu_1000_latlon_mean = numpy.nanmean(deltaysu_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "tendencies" + ] + }, + { + "cell_type": "code", + "execution_count": 458, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.814615Z", + "start_time": "2018-08-10T18:02:07.689916Z" + } + }, + "outputs": [], + "source": [ + "rthcuten_400_latlon_mean = numpy.nanmean(rthcuten_400[:,:,latlon_indices], axis=2)\n", + "rthcuten_1000_latlon_mean = numpy.nanmean(rthcuten_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "rqvcuten_400_latlon_mean = numpy.nanmean(rqvcuten_400[:,:,latlon_indices], axis=2)\n", + "rqvcuten_1000_latlon_mean = numpy.nanmean(rqvcuten_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 459, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.929757Z", + "start_time": "2018-08-10T18:02:07.822893Z" + } + }, + "outputs": [], + "source": [ + "rthblten_400_latlon_mean = numpy.nanmean(rthblten_400[:,:,latlon_indices], axis=2)\n", + "rthblten_1000_latlon_mean = numpy.nanmean(rthblten_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "rqvblten_400_latlon_mean = numpy.nanmean(rqvblten_400[:,:,latlon_indices], axis=2)\n", + "rqvblten_1000_latlon_mean = numpy.nanmean(rqvblten_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 460, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:08.057366Z", + "start_time": "2018-08-10T18:02:07.938086Z" + } + }, + "outputs": [], + "source": [ + "rublten_400_latlon_mean = numpy.nanmean(rublten_400[:,:,latlon_indices], axis=2)\n", + "rublten_1000_latlon_mean = numpy.nanmean(rublten_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "rvblten_400_latlon_mean = numpy.nanmean(rvblten_400[:,:,latlon_indices], axis=2)\n", + "rvblten_1000_latlon_mean = numpy.nanmean(rvblten_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 461, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:08.281281Z", + "start_time": "2018-08-10T18:02:08.066001Z" + } + }, + "outputs": [], + "source": [ + "rucuten_400_latlon_mean = numpy.nanmean(rucuten_400[:,:,latlon_indices], axis=2)\n", + "rucuten_1000_latlon_mean = numpy.nanmean(rucuten_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "rvcuten_400_latlon_mean = numpy.nanmean(rvcuten_400[:,:,latlon_indices], axis=2)\n", + "rvcuten_1000_latlon_mean = numpy.nanmean(rvcuten_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "adding in xkz terms" + ] + }, + { + "cell_type": "code", + "execution_count": 462, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:08.418731Z", + "start_time": "2018-08-10T18:02:08.290566Z" + } + }, + "outputs": [], + "source": [ + "xkzq3d_400_latlon_mean = numpy.nanmean(xkzq3d_400[:,:,latlon_indices], axis=2)\n", + "xkzq3d_1000_latlon_mean = numpy.nanmean(xkzq3d_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 463, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:08.579429Z", + "start_time": "2018-08-10T18:02:08.427120Z" + } + }, + "outputs": [], + "source": [ + "xkzh3d_400_latlon_mean = numpy.nanmean(xkzh3d_400[:,:,latlon_indices], axis=2)\n", + "xkzh3d_1000_latlon_mean = numpy.nanmean(xkzh3d_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 464, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:08.738612Z", + "start_time": "2018-08-10T18:02:08.587686Z" + } + }, + "outputs": [], + "source": [ + "xkzm3d_400_latlon_mean = numpy.nanmean(xkzm3d_400[:,:,latlon_indices], axis=2)\n", + "xkzm3d_1000_latlon_mean = numpy.nanmean(xkzm3d_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "t (theta) for dtheta/dz info" + ] + }, + { + "cell_type": "code", + "execution_count": 465, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:03:46.184228Z", + "start_time": "2018-08-10T18:03:46.168533Z" + } + }, + "outputs": [], + "source": [ + "t_400_latlon_mean = numpy.nanmean(t_400[:,:,latlon_indices], axis=2)\n", + "t_1000_latlon_mean = numpy.nanmean(t_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ri3d" + ] + }, + { + "cell_type": "code", + "execution_count": 505, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:10:06.679089Z", + "start_time": "2018-08-10T18:10:06.414187Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", + " after removing the cwd from sys.path.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:5: RuntimeWarning: Mean of empty slice\n", + " \"\"\"\n" + ] + } + ], + "source": [ + "ri3d_400[ri3d_400==999] = numpy.nan\n", + "ri3d_1000[ri3d_1000==999] = numpy.nan\n", + "\n", + "ri3d_400_latlon_mean = numpy.nanmean(ri3d_400[:,:,latlon_indices], axis=2)\n", + "ri3d_1000_latlon_mean = numpy.nanmean(ri3d_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "adding in fxpbl2d terms" + ] + }, + { + "cell_type": "code", + "execution_count": 468, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:26.176618Z", + "start_time": "2018-08-10T18:04:26.166617Z" + } + }, + "outputs": [], + "source": [ + "hfxpbl2d_400_latlon_mean = numpy.nanmean(hfxpbl2d_400[:,latlon_indices], axis=1)\n", + "hfxpbl2d_1000_latlon_mean = numpy.nanmean(hfxpbl2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 469, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:27.017608Z", + "start_time": "2018-08-10T18:04:27.007535Z" + } + }, + "outputs": [], + "source": [ + "qfxpbl2d_400_latlon_mean = numpy.nanmean(qfxpbl2d_400[:,latlon_indices], axis=1)\n", + "qfxpbl2d_1000_latlon_mean = numpy.nanmean(qfxpbl2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 470, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:27.496211Z", + "start_time": "2018-08-10T18:04:27.485887Z" + } + }, + "outputs": [], + "source": [ + "ufxpbl2d_400_latlon_mean = numpy.nanmean(ufxpbl2d_400[:,latlon_indices], axis=1)\n", + "ufxpbl2d_1000_latlon_mean = numpy.nanmean(ufxpbl2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 471, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:27.646321Z", + "start_time": "2018-08-10T18:04:27.636385Z" + } + }, + "outputs": [], + "source": [ + "vfxpbl2d_400_latlon_mean = numpy.nanmean(vfxpbl2d_400[:,latlon_indices], axis=1)\n", + "vfxpbl2d_1000_latlon_mean = numpy.nanmean(vfxpbl2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 472, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:27.891448Z", + "start_time": "2018-08-10T18:04:27.790897Z" + } + }, + "outputs": [], + "source": [ + "bfxpbl2d_400_latlon_mean = numpy.nanmean(bfxpbl2d_400[:,latlon_indices], axis=1)\n", + "bfxpbl2d_1000_latlon_mean = numpy.nanmean(bfxpbl2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 473, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:28.259071Z", + "start_time": "2018-08-10T18:04:28.253500Z" + } + }, + "outputs": [], + "source": [ + "we2d_400_latlon_mean = numpy.nanmean(we2d_400[:,latlon_indices], axis=1)\n", + "we2d_1000_latlon_mean = numpy.nanmean(we2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "hgam and qfx terms" + ] + }, + { + "cell_type": "code", + "execution_count": 474, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:29.328572Z", + "start_time": "2018-08-10T18:04:29.318645Z" + } + }, + "outputs": [], + "source": [ + "hgamq2d_400_latlon_mean = numpy.nanmean(hgamq2d_400[:,latlon_indices], axis=1)\n", + "hgamq2d_1000_latlon_mean = numpy.nanmean(hgamq2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 475, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:29.855876Z", + "start_time": "2018-08-10T18:04:29.845753Z" + } + }, + "outputs": [], + "source": [ + "hgamt2d_400_latlon_mean = numpy.nanmean(hgamt2d_400[:,latlon_indices], axis=1)\n", + "hgamt2d_1000_latlon_mean = numpy.nanmean(hgamt2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 476, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:30.019339Z", + "start_time": "2018-08-10T18:04:30.009796Z" + } + }, + "outputs": [], + "source": [ + "qfx_400_latlon_mean = numpy.nanmean(qfx_400[:,latlon_indices], axis=1)\n", + "qfx_1000_latlon_mean = numpy.nanmean(qfx_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 477, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:30.183300Z", + "start_time": "2018-08-10T18:04:30.173255Z" + } + }, + "outputs": [], + "source": [ + "hfx_400_latlon_mean = numpy.nanmean(hfx_400[:,latlon_indices], axis=1)\n", + "hfx_1000_latlon_mean = numpy.nanmean(hfx_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# calculate diffs" + ] + }, + { + "cell_type": "code", + "execution_count": 478, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:32.547578Z", + "start_time": "2018-08-10T18:04:32.537212Z" + } + }, + "outputs": [], + "source": [ + "dqdt_diffs_latlon_mean = dqdt_1000_latlon_mean-dqdt_400_latlon_mean\n", + "dthetadt_diffs_latlon_mean = dthetadt_1000_latlon_mean-dthetadt_400_latlon_mean\n", + "dmsedt_diffs_latlon_mean = dmsedt_1000_latlon_mean-dmsedt_400_latlon_mean\n", + "duadt_diffs_latlon_mean = duadt_1000_latlon_mean-duadt_400_latlon_mean\n", + "\n", + "rthblten_diffs_latlon_mean = rthblten_1000_latlon_mean-rthblten_400_latlon_mean\n", + "rqvblten_diffs_latlon_mean = rqvblten_1000_latlon_mean-rqvblten_400_latlon_mean\n", + "\n", + "rthcuten_diffs_latlon_mean = rthcuten_1000_latlon_mean-rthcuten_400_latlon_mean\n", + "rqvcuten_diffs_latlon_mean = rqvcuten_1000_latlon_mean-rqvcuten_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 479, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:32.705749Z", + "start_time": "2018-08-10T18:04:32.701280Z" + } + }, + "outputs": [], + "source": [ + "rucuten_diffs_latlon_mean = rucuten_1000_latlon_mean-rucuten_400_latlon_mean\n", + "rvcuten_diffs_latlon_mean = rvcuten_1000_latlon_mean-rvcuten_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 480, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:33.193549Z", + "start_time": "2018-08-10T18:04:33.189682Z" + } + }, + "outputs": [], + "source": [ + "rublten_diffs_latlon_mean = rublten_1000_latlon_mean-rublten_400_latlon_mean\n", + "rvblten_diffs_latlon_mean = rvblten_1000_latlon_mean-rvblten_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 481, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:33.378359Z", + "start_time": "2018-08-10T18:04:33.357773Z" + } + }, + "outputs": [], + "source": [ + "xkzq3d_diffs_latlon_mean = xkzq3d_1000_latlon_mean - xkzq3d_400_latlon_mean\n", + "xkzh3d_diffs_latlon_mean = xkzh3d_1000_latlon_mean - xkzh3d_400_latlon_mean\n", + "xkzm3d_diffs_latlon_mean = xkzm3d_1000_latlon_mean - xkzm3d_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 482, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:33.534320Z", + "start_time": "2018-08-10T18:04:33.528905Z" + } + }, + "outputs": [], + "source": [ + "bfxpbl2d_diffs_latlon_mean = bfxpbl2d_1000_latlon_mean - bfxpbl2d_400_latlon_mean\n", + "hfxpbl2d_diffs_latlon_mean = hfxpbl2d_1000_latlon_mean - hfxpbl2d_400_latlon_mean\n", + "qfxpbl2d_diffs_latlon_mean = qfxpbl2d_1000_latlon_mean - qfxpbl2d_400_latlon_mean\n", + "ufxpbl2d_diffs_latlon_mean = ufxpbl2d_1000_latlon_mean - ufxpbl2d_400_latlon_mean\n", + "vfxpbl2d_diffs_latlon_mean = vfxpbl2d_1000_latlon_mean - vfxpbl2d_400_latlon_mean\n", + "we2d_diffs_latlon_mean = we2d_1000_latlon_mean - we2d_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 483, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:33.868646Z", + "start_time": "2018-08-10T18:04:33.864178Z" + } + }, + "outputs": [], + "source": [ + "hgamq2d_diffs_latlon_mean = hgamq2d_1000_latlon_mean - hgamq2d_400_latlon_mean\n", + "hgamt2d_diffs_latlon_mean = hgamt2d_1000_latlon_mean - hgamt2d_400_latlon_mean\n", + "\n", + "qfx_diffs_latlon_mean = qfx_1000_latlon_mean - qfx_400_latlon_mean\n", + "hfx_diffs_latlon_mean = hfx_1000_latlon_mean - hfx_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 499, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:06:57.916697Z", + "start_time": "2018-08-10T18:06:57.908916Z" + } + }, + "outputs": [], + "source": [ + "t_diffs_latlon_mean = t_1000_latlon_mean - t_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 506, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:10:27.088831Z", + "start_time": "2018-08-10T18:10:27.081011Z" + } + }, + "outputs": [], + "source": [ + "ri3d_diffs_latlon_mean = ri3d_1000_latlon_mean - ri3d_400_latlon_mean" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plots for fxpbl2d stuff" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "$\\overline{(w'\\theta')_h}$" + ] + }, + { + "cell_type": "code", + "execution_count": 485, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:55.216721Z", + "start_time": "2018-08-10T18:04:52.934234Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = mp.figure(figsize=(4.25,4))\n", + "\n", + "fontsize=12\n", + "\n", + "xvals = numpy.arange(ntime)\n", + "color_list = [matplotlib.cm.magma(i) for i in numpy.linspace(0.,0.8,4)]\n", + "\n", + "# bfx, hfx, qfx, ufx, vfx, we\n", + "labels = [\\\n", + "r\"$\\overline{(w \\prime \\theta_v \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime \\theta \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime q \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime u \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime v \\prime)}_h$\", \\\n", + "r\"$w_e$\", \\\n", + "]\n", + "\n", + "ax1 = fig.add_subplot(211)\n", + "ax1.plot(xvals-4, bfxpbl2d_400_latlon_mean, label=labels[0], color=color_list[0])\n", + "ax1.plot(xvals-4, hfxpbl2d_400_latlon_mean, label=labels[1], color=color_list[1])\n", + "#ax1.plot(xvals-4, qfxpbl2d_400_latlon_mean, label='qfxpbl', color=color_list[2])\n", + "ax1.plot(xvals-4, ufxpbl2d_400_latlon_mean, label=labels[3], color=color_list[2])\n", + "ax1.plot(xvals-4, vfxpbl2d_400_latlon_mean, label=labels[4], color=color_list[3])\n", + "#ax1.plot(xvals-4, we2d_400_latlon_mean, label=labels[5], color=color_list[5])\n", + "ax1.set_xlim(0,20)\n", + "ax1.set_xticks([i for i in range(0,21,4)])\n", + "ax1.set_xticklabels([])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.text(x=0,y=1.02,s='(a) control', ha='left',va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "\n", + "ax2 = fig.add_subplot(212)\n", + "ax2.plot(xvals-4, bfxpbl2d_diffs_latlon_mean, label='bfxpbl', color=color_list[0])\n", + "ax2.plot(xvals-4, hfxpbl2d_diffs_latlon_mean, label='hfxpbl', color=color_list[1])\n", + "#ax2.plot(xvals-4, qfxpbl2d_diffs_latlon_mean, label='qfxpbl', color=color_list[2])\n", + "ax2.plot(xvals-4, ufxpbl2d_diffs_latlon_mean, label='ufxpbl', color=color_list[2])\n", + "ax2.plot(xvals-4, vfxpbl2d_diffs_latlon_mean, label='vfxpbl', color=color_list[3])\n", + "#ax2.plot(xvals-4, we2d_diffs_latlon_mean, label='w$_e$', color=color_list[5])\n", + "ax2.set_xlim(0,20)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticks([i for i in range(0,21,4)])\n", + "ax2.set_xlabel('hour', fontsize=fontsize)\n", + "ax2.text(x=0,y=1.02,s='(b) change', ha='left',va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2.5)\n", + "\n", + "handles, labels = ax1.get_legend_handles_labels()\n", + "ax1.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", + " ncol=1, bbox_to_anchor=(1.03,1.0), bbox_transform=ax1.transAxes, \\\n", + " loc='upper left', borderaxespad=0, labelspacing=0.333, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0., columnspacing=0.5, \\\n", + " handletextpad=0.5, markerscale=1)\n", + "\n", + "fig.savefig('figures/entrainment_output.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 486, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:55.941097Z", + "start_time": "2018-08-10T18:04:55.225291Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = mp.figure(figsize=(4.25,5))\n", + "\n", + "fontsize=12\n", + "xvals = numpy.arange(ntime)\n", + "\n", + "ax = fig.add_subplot(411)\n", + "ax.plot(xvals-4, hgamq2d_diffs_latlon_mean*1000.)\n", + "ax.set_xlim(0,20)\n", + "ax.set_xticks([i for i in range(0,21,4)])\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s=r'$\\Delta \\,\\, \\gamma_q$', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "\n", + "ax = fig.add_subplot(412)\n", + "ax.plot(xvals-4, qfx_diffs_latlon_mean*2264.705*1000.)\n", + "ax.set_xlim(0,20)\n", + "ax.set_xticks([i for i in range(0,21,4)])\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s=r'$\\Delta \\,\\, \\overline{(w \\prime q \\prime)}_0$', x=0, y=1.02, \\\n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "\n", + "ax = fig.add_subplot(413)\n", + "ax.plot(xvals-4, hgamt2d_diffs_latlon_mean)\n", + "ax.set_xlim(0,20)\n", + "ax.set_xticks([i for i in range(0,21,4)])\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s=r'$\\Delta \\,\\, \\gamma_\\theta$', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "\n", + "ax = fig.add_subplot(414)\n", + "ax.plot(xvals-4, hfx_diffs_latlon_mean)\n", + "ax.set_xlim(0,20)\n", + "ax.set_xticks([i for i in range(0,21,4)])\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s=r'$\\Delta \\,\\, \\overline{(w \\prime \\theta \\prime)}_0$', x=0, y=1.02, \\\n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.set_ylabel('W m$^{\\,-2}$', fontsize=fontsize)\n", + "\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 487, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:59.517204Z", + "start_time": "2018-08-10T18:04:57.033578Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = mp.figure(figsize=(4.25,4))\n", + "\n", + "fontsize=12\n", + "\n", + "xvals = numpy.arange(ntime)\n", + "color_list = [matplotlib.cm.magma(i) for i in numpy.linspace(0.,0.8,6)]\n", + "\n", + "# bfx, hfx, qfx, ufx, vfx, we\n", + "labels = [\\\n", + "r\"$\\overline{(w \\prime \\theta_v \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime \\theta \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime q \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime u \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime v \\prime)}_h$\", \\\n", + "r\"$w_e$\", \\\n", + "]\n", + "\n", + "ax1 = fig.add_subplot(211)\n", + "ax1.plot(xvals-4, bfxpbl2d_400_latlon_mean, label=labels[0], color=color_list[0])\n", + "ax1.plot(xvals-4, hfxpbl2d_400_latlon_mean, label=labels[1], color=color_list[1])\n", + "ax1.plot(xvals-4, qfxpbl2d_400_latlon_mean*1000., label=labels[2], color=color_list[2])\n", + "ax1.plot(xvals-4, ufxpbl2d_400_latlon_mean, label=labels[3], color=color_list[3])\n", + "ax1.plot(xvals-4, vfxpbl2d_400_latlon_mean, label=labels[4], color=color_list[4])\n", + "ax1.plot(xvals-4, we2d_400_latlon_mean, label=labels[5], color=color_list[5])\n", + "ax1.set_xlim(0,20)\n", + "ax1.set_xticks([i for i in range(0,21,4)])\n", + "ax1.set_xticklabels([])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.text(x=0,y=1.02,s='(a) control', ha='left',va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "\n", + "ax2 = fig.add_subplot(212)\n", + "ax2.plot(xvals-4, bfxpbl2d_diffs_latlon_mean, label='bfxpbl', color=color_list[0])\n", + "ax2.plot(xvals-4, hfxpbl2d_diffs_latlon_mean, label='hfxpbl', color=color_list[1])\n", + "ax2.plot(xvals-4, qfxpbl2d_diffs_latlon_mean*1000., label='qfxpbl', color=color_list[2])\n", + "ax2.plot(xvals-4, ufxpbl2d_diffs_latlon_mean, label='ufxpbl', color=color_list[3])\n", + "ax2.plot(xvals-4, vfxpbl2d_diffs_latlon_mean, label='vfxpbl', color=color_list[4])\n", + "ax2.plot(xvals-4, we2d_diffs_latlon_mean, label='w$_e$', color=color_list[5])\n", + "ax2.set_xlim(0,20)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticks([i for i in range(0,21,4)])\n", + "ax2.set_xlabel('hour', fontsize=fontsize)\n", + "ax2.text(x=0,y=1.02,s='(b) change', ha='left',va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2.5)\n", + "\n", + "handles, labels = ax1.get_legend_handles_labels()\n", + "ax1.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", + " ncol=1, bbox_to_anchor=(1.03,1.0), bbox_transform=ax1.transAxes, \\\n", + " loc='upper left', borderaxespad=0, labelspacing=0.333, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0., columnspacing=0.5, \\\n", + " handletextpad=0.5, markerscale=1)\n", + "\n", + "fig.savefig('figures/entrainment_output.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plots" + ] + }, + { + "cell_type": "code", + "execution_count": 488, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:05:00.005327Z", + "start_time": "2018-08-10T18:04:59.977374Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_latlon_time_mean = numpy.nanmean(ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "geopot_400_latlon_time_mean = numpy.nanmean(geopot_400[:,:,latlon_indices], axis=(0,2))" + ] + }, + { + "cell_type": "code", + "execution_count": 489, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:05:00.487416Z", + "start_time": "2018-08-10T18:05:00.480752Z" + } + }, + "outputs": [], + "source": [ + "xx, pp = numpy.meshgrid(numpy.arange(ntime), ptot_400_latlon_time_mean)" + ] + }, + { + "cell_type": "code", + "execution_count": 490, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:05:01.414526Z", + "start_time": "2018-08-10T18:05:01.406159Z" + } + }, + "outputs": [], + "source": [ + "xx_geopot, gg = numpy.meshgrid(numpy.arange(ntime), geopot_400_latlon_time_mean)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "for dqdt" + ] + }, + { + "cell_type": "raw", + "metadata": {}, + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.15,0.151,0.025)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dqdt_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rqvcuten_diffs_latlon_mean.T*1000.*86400., \\\n", + " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s='(a) $\\Delta$ dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ dq/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "# cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "# cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "# cbar_ax1.tick_params(labelsize=fontsize)\n", + "# #cbar1.add_lines(contour_line1)\n", + "# cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "# ax2pos = ax2.get_position()\n", + "# cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "# cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "# cbar_ax2.tick_params(labelsize=fontsize)\n", + "# cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar3.set_ticks([-.01,0,.01])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dqdt_day1_ysu_and_tiedtke.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 491, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:05:15.282794Z", + "start_time": "2018-08-10T18:05:12.766977Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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JTTGFbuHCqmLmVxRRWejGE0G0kSQfKaZwKaoqAdWxvnm/P3DufiBAwO/H5XJxzSVL+dOadWxr28/FC+YldH75hK/SQ//SyvgFn6JORNaHbHnEnqsTpAIYG/WnqsP2yMAKzm+9R6IC6Al53GtvcyQxRS8ii4AfYvVDBdMLt2UjMENmyEe5T7TFPtGugjMbX6THXczJgnJOFpTT5y7iqv79VPkHCbhLqfFUUh4Yptw/RFlgmEL1MdgNg1hD0gqwrs6FMyxuel1F9LqL6HMVMiIFuCpqCKjiVyyRK/hVCRx8koAqKu4xmSfCFUsWMquxgfXbdzF35gzKSorj7zQ56VTV5TGe7wbGXhwR8WL9684kWP+4/YGSJPbNOvFa9I8AL2JdWb4b+D5wQ6aDMqSffBJ8KiNf4sm9e+OLMZ/vdRXyWtkCRlwFiCrV/gEuHDpOcWAUgHp/P/X+SBo/hx+hz1U4JvRedxG9riJGXOc+boWBUQrVh6u3B295BV4RXCK4RXAJ9n3rb/H0ZtwuF26Xa6xvfuy+y4Xb7cblEnbub2fDjt3cseJq6qoqKfR6YsY5xdmF1U8fZCHQpqqDUcpH2n8J1oAUsBrDm9MXXnqJJ/rLgJtUdVREvgQcz0JMhjSRL3JP9uJpPLnHk3mQISngZEE5pwrK8R46wIyDOwiIi/KFbipPH6fq9FEKfJbg+zm/la7ASFEJ7ksvHmup97oKGXAVonYXjUsDlAWGqff1Uh4Yotw/TFlgiEL1n6vIvhZbtez6yIH6z4A/fh93fXUVP/vjs7y+u43br7sqbjfRFGcl8JCIrMDqn38A+EkS+z8OfFJEXgDmY2UAuDbtUaaJeKJ3q+oogKoOiIhZejAPyPRarJCboY4TFXzXa1vHPT42awGnG2YzUF4DQOFgH9MClnhdGmDujlfHld+zVVBvAU1XVDJYVslAWRUDZVUMllXiL/COlSsc7KO4r5PGvh5K+rop7uumafEcEtVtMP5owo/Wfx+ktLiY5YsX8srmbRw4coxCr4fXd7Vx27VXUuB2JxjF1EBVT9sr3z2GNfnzF8CDInI38HlVjXeB41FgKVY/fzfwMSd3axtxTyKyIfjQ7anIPl2CD5d7uNQDLhdnaxvpL69hxsHtAPRV1uEKBCh6eQuefUdwdZ2lF+gNUbKK4G+sZXROI76/acQ/rfrclbfhEdynuqnta7eE3ttNSX8Pbv/5mbfPhMUz7rwuXxpxeyrCXzKvhT3th3l501ZWLLuIjhOn2Lx7L5ctWhA1jkhMNDdUPs0MVtUngSfDNj9m38LLzgl77Ac+Yt8cT9wWvYj83r4vgDfkMQCqekdGIjMkRDblHqlcJtIIQPKt91DBj3q87Bqaga+lidHZ08HrgZFRep/ei2toBN32CgWq5735A6VFjM5uxDenkaFZ03AXFaKBAANHT9D/8gaGTnaxpGsI6R1AgBH71j1Wg3BBEolXu17bGlX2wXOM2p2D9ZqEy97lcrFi2UWsfG41R091MnfmDDbt3MO8WTOoLCtLLK4UEgCa5IHOJJ7owzNOPsG5SVKCmTCVU3Ip+dDyico+k4JXhD07XIg/wPCiZgbfeAXSO4B3Vzue/UcpOHwC8QdYEwjpaXcJJY3TKGtppmxOM0XTrElGo3399LUdpO9gB/3tRwmMjI7tsjZCzNe4Ssfu79l6fkdNLPkH409n676htoZFrXPY1raf21dcxaFjJ3hp41buWBG7395IevISU/Sq+iMAEbkaK9XB7JB9gqI/72eOITvc1NqYdtmHSjue9DMl+GRa7yOFxexytzK8uJUi1y4KN+/Fs68D9+NncJ/qPq9//KpyuztmTiNDM+1Wu99qtZ9Y/Rp9BzoY7kxslFyo4CORSOs+VoseYlygtYnWX3/F0oUcOHKM9dt3sXzxhbyyeRsdJ04xc/q0iOWN5Cc3ifbR/z+svBBfAPxxyhqySFCiTkg6Nm7fDHfPdNc2sr98Hr6WRnC5KGg/xq7Tp+gP9MMgXDNstcLVJfgb6xidM53ROY0E6qsBkN4Bits6KDh4DM/hk1SHtNrXxIg5HXKH1AUPsUfhFHq9XHXxYlat28gFs2dyy1XLaW6oj1jWSH7yk6joG4CvqOpwJoMxTJxMtO4nEkM8EpnYFE3wvgIPBb5R9mwVev9yIYHqcgrX72Lblm2Mnj03mbGgtJjh1hZ8cxoZndUAhV7wByg4egrv6s14Dh7Ddbon6miYeDIPJ11yDzLRVnw482c1s/vAIdZt28U733QzIoLP7zcjcKYgiYr+R1h5bb6ewVgMKZLJ1n2s48Uj0VmrkQSvInTXNXGgfB6+WdOo+MFvcTFM6R/XsrbvNAQsyYrbTfm82VQtuYCy2U3WLNXeAbx7Dtut9hPISHrXo09H10wo6RJ8EBHhumUX8cs/rWLt5u0saJnFM6+s5y03XktNpdWKN635qUG8FAg7sfrh3cB8EfkXrElTY+9wVV2U0QgNSZOs8CeS7TEe0YbZJdp6H/UUcqJ1CcfqW9GyEqRvkMINu3nN348/MAxnrYuqRdNqqVoyn8oL5+IuKmSkp5eTazbSu7edZV0jCY9hT5R0yx3SL/hQqivKueTC+WzcuYeW5kYUZfXGLdx547Wc8SaQM8YwKYjXov9QVqIwZIRMCDwascZPJ9p6D4jg9xbiGRlm714PvdctoqD9OIXPbeC1fXtBLcm6iwqpuLCVqiUXUDytloDPR29bO93b9tB/+NyX2ysk3w0TiUzIHTIr+FAutbNartu6k8sXL+SlTVvY1NHJnFYj+qlCvFE3L2QrEEP+EW9yTCIzV7te28pwUSknW5fS2dSKdnRR9uRLuOmn4tHfsLa/yyooQunsJqoWX0D5vNm4CtwMHu/k2LNr6Nm1n8DwyHl1p0o8wWdC7pD+dL4FbjfXLruIP6xey9DIMDW1dWzZtIGm5ma83sK0HsvgTMzMWENSJCt3iN4901dRw5GLr6enthFUKTh4jMKt+wCs8e79/XgqyqhaPJ/KxfPxVpThGxzizJZddG9rY7izK01nNZ5Ygk93t0w4mcrZPmt6A63NTWzctZerr13BmtUvcOTwYVrmTr5UxobzMaI3xGSiud2jtd5DZ9vtH21kuKSGwle3U7htP2vPdlrPFbipuKCVqsXWhVVVpb/9CCdffI3efe2oP7GUvWB9YSTafRNN8Om8oBqNbCzKsWj51Rz67f+yr20Pt/3ZnZRXmAuxU4WsiT58cV2Dc0ll4Y7oM1ehp2Y6R1sWE3i5DW/bYQoLdlO4cTevjFjHsy6sXkDlha3nLqy+vIHuHXvx9cZODZwKqQp+onKH7K261OWpoNgDiy+6hM0b19PTfYbyigrO9vRQXl6OOGw1KkN6ybjoYyyua3AIqSx8HSSW4LvrmtjfsBj/9FprohJqdc2MWBdWay5dRNWSCyiqryHg83G27SDd29oYOJzZYaITFXwqYg+Sq2X15l2wgPYD+9i04TWKiot4/pmnueSyy5l3QXJJzwz5RTZa9NEW1zXkkGTkHm0xj3iZIwFen3ktoxfMxNXTR/Ezr7Fx+3bUH8BbU0ntssVULpqHq6CAweOnOPbMGnp2p+fCarTumlzJ3SnrpbpcLpZdfiXP/emPHG5vp35aA9s2b6J55iyKip2/GlVNGVw1P/4oqF9lIZZ8IuOij7G4riEHZFrwirB9eCae/UcRnx/PQDueA0dZv3MHBJTSWU3UXraEspZm/D4fx7bvYmjz3rRdWI0k+Kku93Bq6+ppnXcBe9v2cPW117N2zWq2bNrIFdc4dt0MQ4qYi7FTiHT2vUOY4EXYPjqHocsXEqipoPjp19iwdSu07UHcbqoWzaNm2WKK6mrw9Q+wb/UrdGzaxuigtXJbkyexFLrRSFTwmZS7U8UeiaWXXMKRjkPs3rmNBRcuZNeO7bTMnUd9Q0OuQzNkAMeIXkTuBe4FaGxqynE0k49EJJ9M33uQ3VuFkSWtDC9fSKCyDNepMxx+8ll629pxlxRRc/FCqi++kIKSYoZOdbH9d3/i+M421J+e3Hjhgs926z2f5B6K11vIxZdexrpXXmbW7BbKyivo6ek2op+kOEb0qvoI1mLkLFmaxOoNhphkUvDB9AIjC+fQPzjIqVWv0Lf/MIV11TS+8ToqL5yLq8BN775D7Fm3njOHOqLGcHS0L+FWfS5b7/kq9kjMmtPCgf172b51C2+8482UlKY+i9jgTBwjekPypLpsW6Jj30PZvbOA4aVzGfnb+ZT97FnW9p3GtfIpAsMjlLU0M+vtt1E2ewaBUR/d2/bQtWk7B08eTSnOIIkI3sj9fKIlLhMRli2/kj/94bds3byJK6+5juNHj1BRWWWkP8kwoncgmV53M5m872CtmhQo8jKydC7D91yAlhTRf+goezyjSIGbygUt1CxbTGFNFaN9/ZxYvZ4zW3fR0ZvcBdZorfpUBT8V5Z4oFZWVXLhwMTu3b2XGzFmsW/MS05tmcM2KG3IdmiGNZE304YvrTlacvDjyRAQPECj0cPZv3wyFHvoOdHDq1dcZ7eml5pJFVF20gILiIgaPd9Lx++c5u+cgBKyZq9G6Yo6Onj/SNrxsKt0zRuzJsXDxEg61H2Db5k1cuHgJ27ds5tiRIzTOmJHr0AxpwrTok8TJIo/EROXua6jBd9k0ijbsYu1gN9UvrWfgyHHE5aJm2WIqF7SAy0Xv3na6Nm5n4MiJhGOK1RefyMXVaK33ZAQ/lcUejruggGXLr2D1888RCAQor6hg04Z1TGt4C+4Co4jJgPkvJsBkkztEFrwCvtYmhpYtwN88Df/QMK9v2Yr43QRGR2l8wzWUzGjAPzJK1+ZddG3awWhPb8rxpnpxNRcZIfOFRBcWmd40g+aZs9i9cwfLr7iKda+8zK4d21l80cUZjtCQDYzoo5BPcp/IuHc413oH8E2rZuBNVxGoqWDkbB9dq9YycPQk9ddcStXCebiLCuk/fYY9z63myObtNKg3pZgzLfepKvZUuOSyyzl+7CiHDh5g7vwFlJalNrfB4ByM6G3ySeyQHrkHirxoSRGvdh7D3e1j5uAgZ/74OghUL13A9JuuIuDzc2J3G0c2b6f78JGxfY9ipSlIdqJTquPeYwneyH08yS4TWFxSMpb07Orrrqd51mwAVBWRdK/VZcgmU1r0U0XuMF7w/spShi9dwNDiFoZOdcETv6WgrIShk6eZfuOVduu9iz3PrebYtp2MDg5FjSl4YTWZfndIfty7EXx2CE161tDYyOH2dk4eP8YVV1+LyywqnrdMOdFPVbkD+OqrOXr5fMrnz4FAgLO79jN8poc573ozJU3TzrXeX99Gd0fqY98zdWHViD0+E130OzTp2fYtmykuKeXwoXZGR0e5esUNFJiLs3mJ+a85kHTKfU2gH1wCAaW6YSbTZjXRvW0PAwEf0xbMoyrYen/2RY5t28XoUPTWezTiDY2MN+bdSN1ZBJOete3ZzS233cHyK69i/bpXefG5Z7juxpsmzfKDdgr1bwFNwO+A96tqbyJlRGQusBMIXQXndlVdlZXgk8SI3iGkkgo4ktxdXg8VC1qZe9kS9r+2kWPbd4JvkJIz3VQvXUCFz8fJXXs5snnirfdMCN6IPXUm2poPJZj0bMO6tdzwhlvweLy8uuYlnn/mad5w2+2487wbR0SqgZ8C9wAvYKVf+QrwsQTLzAV+oap3ZTfyiTHlRN/lqXBE9000sUPyF1XBbrkDZa0zaV50BaWtM3EXFNDXeZq6uXOYf+M1FBQW0tfZxe5nX+T4BFvvkJrgw+VuxO5MvN5Cli2/grUvr+bpP/yeq6+7nutuvJnuM2fyXvI2dwIbVXUlgIh8FavF/rEEy7QAe7MacQpMOdHnilhih9TkXlhXDZ39HB3t47LLFlFUV8PZYyfxFBVSVl9LcVUlJ3ftpeP1rfQcmfiqTckIPlbrPV1yT7Xl6oQvfCfTPGs2NxYVs/bl1Tz3pz9w8bLlXHDhQgBOnzpFgaeAyqrqHEc5YS4CNoU83gY0iEiZqvbFK4Ml+ptF5P1Y3TffUdWvZiHuCWFEnyEmInZIRu41TFu4kLIFLXhLS9j4xP/QOnsxnuIivMXFeGcW03viFLufeYFj23fhGxpO+hxCxR7KaTgsAAAgAElEQVQq9XNCt/5mSurp6IJItP7JIv10v2Z106Zx6+1/xrq1a9i0fh2nThznsiuuZP26VxgcHGTFjTdTW1ef1mPGor7EzU2zS+KW+xXUicj6kE2P2Blyg1QA7cEHqjosIj57e18CZRR4Fvh3YCbwpIgcVtXHEz0XEXkKWGgfI/ihEutQmvp6lSFMOdFn4gMdT+oQv8V+TujW36DQgwSHMVbOmM7C295AWX0tgUCAobO9jA4Ns/yuv0RV6e44yp5nX+Rk236GehI/12hSh6DYz5d6OrphMi3zRAnGMVmEn04Ki4q47oab2L1zB9s2b+LMmS4uWbac1zeu54XnnuHa62+kYXpjrsMMp1NVl8d4vhsYWztRRLxYPjyTSBlV/UxoORH5FvBmIGHRA7cDW4BbVDX5llgSTDnRp4NUu2FiST084ZenqIhpF86j+vQZuo8ep6SmGk9JEaPDI3gKvRSVldHVfoh9e/Zzau9+RgcG48Yfqwsmk1IH54g9Gkb4kRERLly0mLr6eta+vJpXXnqRRUuWcri9nZeef44rr11B88xZuQ4zGXZh9cEHWQi0qepgImVE5J+xfiV02s95gPGtszioakBE3pFpycMUE/1EPrwTaa1PVOpBXAUF1M9rYfqiBdS2zsbldtPfdYbC0lIKCr34hkfo3H+QU3v20bm/Hf9I7MW0E+mCydful0yRj9062Xit6+qncevtb+a1V15m25bNNM5oxu1209F+MN9EvxJ4SERWYPW9PwD8JIkyNwMzReSfgNnAh7FG5ySFqu6YWPjJMSVEn8paqeEkKvVoXS+JcPl73kH5tDr8Pt/Y1HNPYSEndu3h5J59dLV3RFyKL35LHcKlHm0M+2RtsU8Ep4zUikdojJn8PxQWFnLtDTexZ9cOtr6+ieKSEi6+zOol8Y2OUuDxZOzY6UJVT4vIe4HHgHrgF8CDInI38HlVnRetjF3FPcCjwFHgGPCAqj6d7fNIlEkj+mQ/iMl2v0QWOoRLPRmhF5aXUdsyi5o5s6hsbKBj4xbq5rdSVlcDwHBfP6f27OPknn30HD0Oasm6yVMGrnP1RBY6JCr1UJIR/GSUejTyRfZB4sWa6v9ORFiwcDG1dVZXzvPPPs3ipRdz6MB+mppnsuTiSxyfH0dVnwSeDNv8mH2LVQZVPQTcls54ROTzqvrldNYZJK9En4mul0SFviYwMK5cMkIPp7Z1NgtuuYGS6ioANBBAXC7m37yC3pOnOLDmNU7u2UffqU6aPGWUAqUFpTGGM8Yf/RKLROU+lcQeiXyTfSzS9UUwritn8yZKSsvYtWMbIyPDLFt+BeJyxa/EEOQWYOqI3q3+pD5QyXa5xBrCGCr0VGQOgAgVDfXUtMyibm4LXQcP4y0pprZ1NsWV1gdpdGiIrvYOAh0n6Tt4ZCy/+5tcpVDYMFZV6EXSUFJdhMNMWJo8JPI5SJTglKiE3h8ueMs1l7FlTxWvbtmO11PA/r1tyPAAN12xDLfLNeUbCbnGkaKPxkTTBJw/Fj2NMo9AQVEhi26/hZo5MynwnsvbXjWjEf/wCAMdxzm+aSfzO7pxdXYzbhSy3WqPlr43SLxFsNON+aBa5KJVH/q+D77XI/3yDL8ulB4eGvslGXxP1ly+dKwhEfwiEBEuXjCP6XU1PLN2PaOjPvYdPkJxoZeFV1hlVu2f+GS9KULG+rocKXpPUQnTF11y3vZI2wC4676Y9d0e9vgfJhhXJIaHhzl48CBtbW34fD5KS0s5cOAAx45Zb2qXy8XMmTOZO3cuLS0tNDU14crDn7PTcx3AFGbc+z7Cez34/k7n+3qiTAcuWH41K1euZM+ePQzhpqW5keLiYhbNbwUg9qd1SvP7TFXsSNE7FZ/PN5amde3atWzatIlTp06heq717XK5aG5u5oYbbqClpYUZM2aY1K6GKUVxcTHvete7WLt2Lc888wzf+973mDVrFm984xspM6tWRUVVH4xfamJkxUCJpAN1AsPDwxQWFuL3+9m+fTttbW10d3dz9uxZBgYGUFXmzJlDb2/vOMHX1dUxf/585s6dy8yZM/F6U1tmz2DId0SEq6++mpkzZ/Kzn/2MrVu3snfvXj7wgQ/kOrQpScZFn0g60GygqgwMDODz+ejv72ffvn3s37+f3t5eBgYGGB4eJhAIUFJSwsDAQMQ6vF4vAwMDVFdX09LSQktLC7Nnz6aoqCibp2Iw5A3Nzc18+MMf5oknnuDQoUN897vfzXVIjkVEXMAGYLmqnj9RJgWy0aJPJB3oOAYHB1mzZg3Hjh3D5/MRCATw+/34/X5qa2spKiri7NmzHD9+nEAgMO5WV1dHQUEBvb29nDlzhkAggKri8/miBuh2uykqKqKkpIQZM2ZQVVVFSUkJlZWVVFRUUF5eTklJSV72rRsMuaa4uJj3ve99PPPMM6xZsybX4TgWOyXCBuCDwMPprDsbok8kHeg4zpw5w9NPR55kdvDgQdxuNyKCL2TmqIggInR3d1NUVDT2XEFBAS6Xi6qqKsrLy2ltbaWuro7S0tIxiRuBGwyZRUS49dZbWbhwIV/84hdzHY6TuQj4WxH5PFZStTFUddFEK82G6BNJBzqOadOmcd999zE6OorH48Hj8eD1evF4PJNl0QODYUrS3Nyc6xCczqcyUWk2RJ9IOlBE5F7gXvvhcF1d3bYsxJYKdUBn3FK5Jx/iNDGmj3yIc0GuA3AqqvpCJurNhugTSQeKvSjAIwAisj5OLumckw8xQn7EaWJMH/kQZ9iCIIYQRGQnkabA4/yum0TSgRoMBoMBPhRy3wVMA94LvJZKpRkXfZxUnwaDwZAw9aVF3NTquNWs0kakrhsR+SXwCvCFidablQlT0VJ9xuCR+EVyTj7ECPkRp4kxfeRDnPkQo5OoAmpSqcCRc/PDFvF1JPkQI+RHnCbG9JEPceZDjLkiQh+9C5gFfDWVeh0peoPBYJiifCjscQDoUNUDqVTqqJlCItIqIs+LSL+I7BCRG3MdUzgi8ikR6RCRPjvWC3MdUygislpErrLvi4j8p4j0iMhREQl/E+WEsBhLROS/ReSsiBwXkW+IiCPWoguNM2z7v4nIH3MRUzjhMYrIu0XkoP0//x8RqcplfEHC/uf1IrLSjvGU/T83E2Sw+ujtfvqdwGlgc6qSB4eJHvg58BzWleZ/Bx7PbTjjEZErgX8EVgC1wKvAd3IalI2I3CYiDwOhK0Xcg7VqzSKsZc/+VUQuzUV8EDXG+4ELsWK8BLgCa6HlnBElzuBzlwKfyH5U58VxXowicgnwn8BfA82AF/h0biIciynSa/llrPk107H+528A7spBeI5DRJpFZDWwD3gKOCkivxaRlDKFO0b0IrIMa7LHV1S1X1V/BLzDYd/0fqz+s2CXlxvoyl0447gOK67Q2cbvBr6mqkdUdStWcrl35iI4m0gx3go8pKodqnoc+AHWBz+XRIoT+5fGozjjYmKkGO8BHlbVV+zssH9LyPqnOSJSnD4s97iwFttw0uco13wHK/ljtarOABqwMgv8MJVKndRHfxnQBvxIRO4ADgAfTncWt1RQ1fUi8htgj71pEKtFknNU9XMAInJLyObwPEPbsVr4OSFKjB8ADoU8Xg4czWZc4USJE+AzwLNYP6svyHZcoUSJ8TJglYhsxLqA9yQ5XucjSpxfBjZyTv7PYiU6NFi9BX+jqj4AVe0Rkc8BJ1Kp1DEteqzW/Buwfq7MBP4LWCkijskBLCJvAN4KLAPKgf/GYd1LYVQAPSGPe+1tjkFVt6tqr4iUisg3gbdhdds5ChFZgvVr6Is5DiUWdcBfAu/A+iKaRYYWm06R/8Tq9qzC6rabTY676xzEYawv7FCWACmtw+gk0QNsVdXHVXVQVb8DeHBWXoy/AH6sqpvszJv3A8tFJKUxrhlkXJ4hoISwHENOQERuxmoltwLL0nHxKZ3YecJ/CNwXnrrDgXxPVfeqaheWUG/OdUAR+Avgi6rao6q7gW9iXUMyWEnN/sceoPAvIvI9rCUGv5hKpU7qujmIJXbAGjGC9UXkpA/WAFZ/YhAfVr+9k2IMZRdWa6DNfrwI2Jy7cM7HXn3sCeBDqvqzXMcThXLgUuAPdlpsN+ASkeOq6qTldA8S8hnCeZ+fIOEr+4wCmVjZPO9Q1afsi+p/jfWL7Bhwg32NbcI4qUX/R6BJRD4gIsVYfYvtnJOUE/gt8G4RWWbH+EXgjw5u5T0OfFJEauwRQ3dhpaBwEl8APu5gyWO3PD2qWqSqRVgLQzztMMmD9YX5YRG50P6V+Y+AE1/XJ4EviEiViMwG/g74VY5jcgT2ENTvY127ugMrz83/isj+VOp1TIteVc+IyBuBb2P95HwN+EsNXXk7x6jqahH5DNYw0Hqsq+Pvz21UMXkUWIr1hdkNfExVnfTFCdYF4++LyPdDtr2gqrkeeZOP/DfW0ORnsX51PIa1VrPT+Efg/8MaQjgAfEdVf5nbkBzD41ij476I1VuQFsRBHjUYDIaoiMicW95424FvfCv+1JXFF8zd4PR0zZEQkT6gVlWH01mvk7puDAaDIWvYk7na7Jn4PxeR8kTLZHDW+Y/IwJBYI3qDwTDlEJFqrC6ST2HNIhbgK0mUSeuscxHZKSI77DofEpEzwW3B20TrBgf10RsMBkMWuRPYqKorAUTkq1iTtj6WYJmxWefAEREJzjoPnaCYDBnNQ2VEbzAYpiLhs8a3AQ0iUmbPkYlZJsJzKc06z9RasUGM6A0GQ97gDYxSM3o2kaJ1Mn5t2kfC8uBXYI1GA0BVh0XEZ2/vS6CM42edh2JEbzAYJiOdcUbdjJs1LiJeLB+eSbBMXsw6D2IuxhoMhqlIcNZ4kIVAW9jkx1hlwp9z3KzzUIzoDQbDVGQlsEJEVtijax4AfpJEmXyYdT6GEb3BYJhyqOpprPQCj2FljDwJPCgid4vI3lhl7CoeBV7H6sP/Jc6cdT6G40UvIv8gIu8UkV1Rnv+giLw7g8efIyJDCZb9iIjcH2t/EdFYq8WEnO8nRGSv3S8YfE5EZJ2IfM1+PFus5eJO27ffSMjShvax5oTV/z4ReT7KsWPGlgzJvG5J1nuDiGxLYf+Mvl8M+YOqPqmqLapapqp/q6rDqvqYqs6LVcbe7lfVj6hquarOVNXwXwNxEZGnROSQWMssvmjfVovIi+k8T3C46EWkArgb6IxR7DHgY3aSsXj1fVVEApK5dV7vxErYNCFCzveXwDewMg9+NKTIu4FGzuUY/wWwASt//zxgHfAnEZm0F9ntNTWXxC8ZlYTfLwZDhrkdOAvcoqrX27cVqnp9ug/kaNFjZQlciZXcp0BEviUiXSKywU7lif0NuwprplpU7A/23VgLmnw0TtkPisgJETmNlVkvuP09InJMRDrFWiQ8tKVeDsxU1e0x9g+2RDtEpCHa+dqtBR/wEeCzIlJnx/8AVqbHPhEpAS4HvqmqA6p6RlX/FXgFa/mxpAiPTUTeICJbxFoE/edi59wXkRvtXxXfEGth510ickWs181+biL1vdl+fFZEfinWQuI3hv66i1av/dyD9i+d4/aXvCvR94vBkGlUNQC8I915bSLhdNG/HWuxcIC5WMsLNmOlNH1CrAUhsMv8eZy63o31Af8C8DdiXVw5DxGZBzxkH3su1tV0RKQFq5X9Nntb+Lfum4Cnou0PENISbVbVSEuDhZ4vqvoi1i+ELwKfBHYEs/yp6gDWJI1fichfi8gMe/s77dl6SREaG1ZO859gzdZrxvpl8fWQ4pcDR7B+SfwW+PdY5y0izROobw5W3o+7gCagBvh4aMyx6hWRG7FWA2vFWu7xbVj/I0js/WIwZBxVTSm1QaI4VvS2xC/HkhnAMVX9ui24h4AZWB9igC3ANXGq/HusdKgdwJ+w8j1H4p3AL1X1JVXt5lw3ybuAX9sLL58EPhe231uA38TYPyYRzjfIp+xjf9w+h1BuwVp78zPAIRHZI4klV4qXsvQurHNYY5/DF7BWBQpyCmtB7yEsMc8k9nlPpL53Ab9R1Q32TMWPYHVNJRNnA9bi42exln8Mfokm8n4xGLKKiHw+U3U7VvRALVZ8wdlnY2smquoolhxq7U1dQKndx30eYi1Vp6r6sr3p/wL3iYg7QvFmxi9WHVyoehYhs+QIWazXrudqYHWM/eMRfr5gBX0Cq7vpt6oaXJQ8uALXSVX9tKpeBFQDX8JqDd9oFwtfEQv7cbzVfGYD94rIkN09tQsol3Pr93aFrBMwhDWJJNZ5T6S+WcDYYguqulNVn040TlV9HisnyUex/lePY71GEOf9YjDkiAmnUIiHk0UfvKAo9t/G4BNijURpwBryBBAI+xvOR7EWNAFAVV/CusD71ghlT2BJJkjwficQOiKlOeT+tcBrdr96tP3jEX6+ofRz/vJrtxHSwlXVs6r6ONavlYvtze1Yi0SH0sr4L6xInAT+M2RFpUrgSrvFHY1Y5z2R+k4Tcq1BRK6OMFomar0icjFWQqrrsX4hKPAJe7947xeDYVLhZNGfwmrdBVthjSLydyJSiNWdsV5Vg63GGmAwJBnRGHbf+vVYLbpQvsn4THVBfgW83RZLFfBZe/uTwDtEZJF94fWzIfvcidVtE2v/IH6gLoHzjccaYLqI3C8i9SJSJiJvAm6ynwMrxep/iMhiESmwf9l8CGvJuUgEY/sV8C4RWSgipVj93p+JE0+s855Ifb/Ger2Xikgt8H+AorAyseq9HPiBiDRiSb4I6zWGGO8XgyGHRGrkpQXHit5uHa/DWgoPrGGEK7ByTLwVuDek+BKs0SaRuA8oBXaLSEfwhjXx4VoRGZcPw16E9xNYQxx3A0/Z29cB/wI8jXVR+PWQ3d4E/CHW/iH8BtggIvVxzjcmqnoWq1W/AqvL4giW5N6nqq/Zxb5qH+9PWL8KvoU1sWN1lGp/g/U6Hwfux+ovP4nVRfLhOPFEPW/7uWTr2wT8M1Za2D3AWuCHEY4Zrd7HsK53bMNaNPsU1pc7xH6/GAy54veZqtjRSwmKyCeBSlUNv/AZXu5BoENVvx2rXDqxR4XssrsM0lVnQudrSI1cvF8MqSMic+645eYDP/jG1+OWbVx8aV4uJZgpHNuit/k+8GaJMQFIRDxYLer/ylpUmSPu+RpSY5K9XwyGhHC06O0hc9/DGmoXjbuAh+1hl3lNgudrSI1J834xGBLF8S1HVX04zvP/naVQwo97kPMvDqaj3pjna0iNXL1fDIZEEJEDRJ7n4sMaifYM8EBYOuW4OLpFbzAYDFOM7wP7sFJ03IE1MvAQ8D/A54GrgO8mW6njW/QGg8EQZLTnND2bXsp1GJnkw8BiuxsXYJeIrAG2qeo/ichWrFFt70umUtOiNxgMBufgw5rgF0oN58bYe4CRZCt1ZIu+uqZGZ8yYkeswsopb/bkOIe34I2aYMEx1tm/b1qmq9fFLTkk+AzwnIr/C6rKpx8oj9X/sJH6vMFm6bmbMmMHPf/2/uQ4jKyS4on3e0eUxaWQMkVl8wdx4KTimLKr6ExF5DfgrrJb9APBBVf2dPeP8LlV9Idl6HSn6qYKRvMFgCEVE/l5Vv4m19kRw2yIReVpVbwWSljyYPvqcUDN61kjeYDBE4kMi8mUAEakWkW8C67HSgEyYrIheRO4Ta2WmsyLyWzvR1JRjMgsejOQNhjSwArhFRH4HtAEtwGWq+pFUKs246EVkCVae9L/AWimoF/hapo/rJCa74MFI3mBIB6raBbwBa9LUHuDPVXVnqvVmo4/+eqxFM14FEJHHSXDVpXxnsss9iJG8wZAaIrKT8TNiPVhLcu4XkX4AVV0Uad9EyIboH8Wa7YWdV/wuzuVLn7RMFckbDIa0kMgSoBMm46K3l/1DRD4IPIK1uMat4eVE5F7sHPONTU2ZDitjTDXBm9a8wZA6ExkymQxZG3Wjqo8CJcA/ASvtdLGhzz+iqstVdXlNTU22wkobU6EfPhwjeYMhP8jGxdjPBtf6tDOufRdrSu+ksMRUFbyRvMGQP2Sjj/4UcL+dmOco8HFgq6qezsKxM4qTBW9EbDAYgmSj6+aHWOusrgFOYI3CeXsWjjtlMZI3GCaOiNwmIm0i0i8iPxeR8mTKichcERkRkaGQ200JHvuAiOyPcNsjIq+IyFdEpDjZc8q46FXVp6ofV9Xpqlqpqrer6t5MH3eqYiRvMEwcEakGfgp8CmjGyhr5lSTLzQV+oapFIbdVCYZg8tEbomMEbzCkhTuBjaq6EkBEvgr8Dku4iZZrASbamDX56A2RMZI3GNLGRcCmkMfbgAYRKUuiXAtwu4h0iMghEbk/ieNPnXz0hsQxkjdMJUbPdNK98cVEitaJyPqQx4+o6iMJ7FcBjKVRVtVhEfHZ2/sSLKfAs8C/Y0n7SRE5rKqPJ3D8qZOP3hAfI3iDISadqro82pMi8s9ETsXyY6A4pJwXy5Nnwsp1Ryunqp8JLSci3wLeDMQVvZ2Pfh3wDkw++qmNkXx+s2r/sXGPb2qdkslcc4qqPkBIzvcgIvJ+rP73IAuBNnsOUCi7opWzv0QeUdVO+zkP0J9EbHsjxWb3209oBq0RfZ5hJO9cwgWezv3Ml0HWWAk8JCIrsPrdHwB+kmS5m4GZIvJPwGysC6z3ZDrwWBjR5wlG8LllohLP5vHNl0HqqOppEXkv8BhW//gvgAcBRORu4POqOi9WOSypP4o1QfQY8ICqPp3dMxmPEX0eYCSfO3It+GQIxmqEnxqq+iTwZITtj2GJPV65Q8BtmYwxWYzoHYwRfO7IJ8GHY4RvCMeI3qEYyeeGfBZ8OEb4hiBmwpQDMZLPPqv2H5tUkg9lsp6XIXFMi95BGMFnn6kiQdO6n9oY0aeAEXN+MlXkHolV+48Z2U9BjOgNk5qpLPVIGMlPTYzoDZMGI/XIGLkbjOgNeY2Re2SM3A2hOFL0bvXnOgSDgzFytzAyNySKI0VvMISTjNxXtQ9w0+ySDEaTOZwibyevh2xIHseKvmb0rBnVMoWZSKt9VftAxPtOlb5TpA5G7JMdx4reMPWYcPbHEKnHe94J0neC4I3YpxaOFr1p1U9+Uulvjyf4WPvkSvi5krwR+9QmK6K303l+CagDNgD3qurubBzb4EwyJfi1bTJ2/6r5mlAd2ZJ+NiU/WcU+cqaHrte25jqMvCPjoheR+cC3gb8CnsdaJf0J4NJE9jet+slHJrpoQgUfaVsupZ8uwU9WeRsyTzZa9DcDq1T1DwAi8h/Av4lIjap2ZeH4BoeQLcHHKhdL+KHHSpfwY0neiNuQLbIh+pXAUyGPL8Na8Dbhd7lp1ec32RZ86dYe+pdWxtwvUeHDxKVvJG9wChkXvaqeCN4XkbcDDwP3q6ovtJyI3AvcCzCjMfejEgzpIdVhkuHEE3yk+5Gkn6jwQ+NJVPhG8Aanka2LsXXAD7Ba8+9X1d+El1HVR4BHAC5esui8T59p1ecXuRJ8rOdTFX4iGMkbnEg2LsaWAi8Ba4ALVbUv08c05I5cdNMkSjq6dGJhJG9wKgmLXkQWA7UhmwqBH6vq9Di73gUcU9V7JhDfOCb6YTG/BLJDKkMmg90ikYQflG8k4QfFHUv40eQeXn+suKI+n4Lceza9FPP5VKm89LqM1m/IHxISvYj8K/B3wDAggAL1wEMJ7H4RcIOI+MK2z1XV9iRiNTiUdCYZiybWVe0DUYW8tk3iyhzit9YT6YOfqNgzLXWDIRaJtujvAS4HqoCPq+p7ROTTQFG8HVX1PuC+ZILyizuZ4oYckQ7BJ5qALFKZYOs/2e6WVIUO2W2tqyoi1q+ZIX+AgCp+hYAqAQWPSyjznP+Z6dn0kmnVG4DERV8OHAZOAhfb2x4G2oAvZyAug8NJVfLhCcgmMoQxlvyjPT9u/wQnMqVT6kf6R+ga8tEz4mfYH8CvUFPoZvm0MgCePtxDn89PIETkM0q9XNdYDsDv27sZCYz/YptTXshVDWWM+AN0DvloKvUmHI9hapCo6F/CEvsnAI+I3AqUYnXhGKYQ6RR8Jogk90SEnsz1n1hiV1UG/QF6hv10j/jpGfGjKFc3WKLecWaQriEfZR4XxQUuvC7B63aN7T+tuICqgBuXCG4BlwiV3nOt9UvqSlAl5HkotVvzW04PsL93mNtnVlHuNb+KDedIVPTvAT6N3XUD/BfgJskuGUP+ka7+90wLPpRoYk+XzIOMBiyh9476aamwejFfPdnPwd7hsTJFbqG26NzHbMmp7XjVjxulatn159V5cV1pzGO2VkTvLV1cU0J73wgbOvu5obF8rLvHYEhI9KraiSV6gINAc6YCMuSOTKzclCvBJyL1RLtcAqoIICLs2bKRw54aet2FDLnOdZGU7t2AFz81BWUUi5fywBBlgWG89mpp3fZLWxxSb/fGFwEiCj9ZVJVCt7C0ppiNnQN09I8ws6ww5XoNk4OYoheRRcAPgUWcyzrZlo3ADJkn00vyZUvy0QSfTN95ULpBfLjoLCjlZEE5pwrKuXLgAGWBEUY9lQy6PFT7BygbOWMJ3T+MB0vo03yxp4mM4KbPXUivq4gRl5sAQmD7HgIieOoa8dv98sH++dDH/ijbAwoBrG6cq6aVUuV1s/HUANNLTF/9RBCR24BvAU3A77AmefbGKL8a+JSqrrUfC/B14P1AP/BlVX0444HHIF6L/hHgRayA7wa+D9yQ6aAMmSFba63mohUfFHw0uYeLPBoD4mFHcSOn3aWouHCPDlN1ooOeg22MDJylGLju8qVx6wkg9Lu89LqK6LXF3usuYtjlGVdONIALxaWKq7uPAm8hbhFcdv+7y77vcbnGHrtDtruRse1H+kfY0DnA1dPK2N0zhC9gLqEli4hUAz/FGmn4ApYDv4KVdTe87G3AW4HwoU33ALdgNZBrgFUi8qqqbspg6DGJJ/rLgJtUdVREvgQcz0JMgDXJycwmTI1sL6KdS8HDOcnHk3own7kC/eXVdKlkv1gAAB5wSURBVNfNoGigl7oT7fjcHvqXN9Bweg9VnUco7+lEVCPuH6xj1FvEQFkVg2VVDJRVMVBWyVBpBeqyLoiKBigLjFDr66csMES5f5jywBCF6iNaL/pEunOay7z86XAPHf0j3NBUMfaamCGWSXEnsFFVVwKIyFexWvXniR5L8AVA+M+4dwNfU9UjwBER+SnwTsCxoner6iiAqg6IiKNXpDJYGMETc3GK7prpnJnWTHdtE6NFJaABvJv30bX1EOCj8PU/MoTVqrFaNpaOtcCNv7aS+osrGSivtOReWoXPe64v3DM0QElfN1Wnj1Hc10NJXzdFA724NDAuhgGgKMYvg4n031cXFjC/sog9PUO0VBRS6Hax7+wwK0LG4SdLcFb5FGp0XcR4IW8DGkSkLDx9i6p+DkBEbolTx3asFn7OMOKeROSz4OONpY/UDx9P8Hu2WnILlBThb6jBc+AoAH1vW4ivvgbPweOUHNhKwYGjuIZGzjumej2MzmrgyOw6apubCFSVgYjVfBv14e7swd3RwSxvNyV93ZT09VDgO7+eaARjrUmj8JfWlnC4b5j1p/qZW1HEzjODNLQfZsGcWQnHNRZfSOqQWGlEsvkl0HdWxv6vcagTkfUhjx+xEyfGowIYm7GvqsP2rP4Kzm+5x6ojNCdHr70tZ8Rt0YvI7+37AnhDHgOgqndkJDJDUmRT8rkeSRNL8Hu2CgoEaisZvbyJ0dYZ+BtrIRBg98M/xT80TMEfn8c/OIj6x7eyAQrrqilraaaspZmSxgbE7aJieITuw8cY2tnGcOcZhjq7GO3u5RqXNRTyLKGLK1gSumBp4v3j6RS+xyUsqy/l5eN9+AIBaosKWLtlO7ObplPkTfzibDL5oeKVzdGvgU5VXR7tSRH5ZyJP9vwxIYOjRMSL5ckzSRy7m/EDrEqS3D/txBN9eCKyJzg3SUowE6ZyzmQVPMS+0BoUX6jgg+xc3EzTrdcCMHj8FL0vb6B332H8Q9b4dl9f/1hZl9dD6ewmXLOmU9s6m6Jya4Zq74lTHFy3kdP7D9Jz9DgasL4UmjxlY/uuCZyrBxgTf3g8kJj40yX85lIvjSUetnUNcm1jOS8e62Pd1p1cf9nFUfcZF0eakwA6Mamgqj4APBC+XUTej9VPH2Qh0Kaqg0lUvwtYgpU5AKyLspsnGGpaiCl6Vf0RgIhcjfXtNztkn6DoH8tkgIbY3NTamPUum0wQ2m2TjOAVYUdvI8NvmcuBHbvpbTvI6bbddPuH6Nx3kJG+8TIGKKuvo7Z1NnWtc6icMR2X283o0DBdBw+xf387nQfaI+6XaWIJPkgiXTgiVqv+j4e62X92mCXzWtnato8Fc2bSUFuTjlAnMyuBh0RkBVb//APAT5Ks43HgkyLyAjAfK4PvtWmNMkkS7aP/f1hDjr4A9oBhg2MI7d7IN+lPVPDDhSXsdrcyvLgFrSjF1z9I7+4AR0f7YBSObt4+tq/b66W2ZRa1rbOpbRnfam9ft5HT+9vpOXIM1cit7tBWfDihrfhwEu2+SZfgQyn3uFlUXczWrkEurKvB5RKqyqOfRxAntr6ziaqeFpH3YjVg64FfAA8CiMjdwOdVdV6cah4FlmL19XcDH8v1/KNERd/w/7d35sFxnudh/z174SZO4lgAJACSIAiCB3jLJGWLlKxadWI7td1p5SaunFqOk/Gk7pV0OrHHbty0mXqmE42b2D3saGwnsZOoUSTLoWhKJC2RAggeIIiLOIn7IO5jscfbP74FuFzuLq69ALy/Gc5wrw8PdrG/7/me932fF/imUsqx7DM1MSVS0g932SaU4OHJOvzDmnoUxmVkS70w+eLTeLZnMN3ZQ/vFdxi+37FUXgG/rL2oAJPJtJS1t7V3MtrexcJM6N8pmODDIXeIjOB9OfmR8zy48A7X7zTwmefPYTGH7n+z1SW/iFLqdeD1APf/OQEqGEqpEr/bbuC3vf/igpWK/gcYfW3+ewRj0YSZeCzrrEXwjoRkhkurGEgvJu3HF3jfM0nSxav0jo8wP/HotclZGdgPVJK/v2Ipa58cGKLr2g1G2juZ7BsImrX7Ekjw0ZQ7hKctgtls5syRg/z9u+9xs7GFsiI7v7xVz7OnjpGcuGyHcc0mYrkWCI0YdXgzsEdE/hPG1OKlv2ylVGVEI9Ssi0WZxoPwFyW/EsGP1t5lPNvO0KGnmcg2nj/V2UNzghsWoK2rHQCz1UpuxW4KD+4no8iOx+NhtK2TtsvvM9qxfNbuS6QEv1K5Q3gED492lyrM3c6eHUXcamolLzuLwdExrt1u4NzJo489X2fzm5vlMvovRSUKTcSJZXa/KsHX1CPAbFomrYfOItOzDF+/xXh9C86pGaMGD6QX5mM/sJ+8ij1YEmzMjD6k9dJV+huaViV3WJ3gVyL31Yh9kXAJHp7cQvDUof109Q9yu/k+h8p3c7OphYrSndhzc8L2MzXxzXKzbt6NViCB0G0Qwku0Zb9SwXuA9s4xhgt3Yas4jvMntcA4Xd1vMfOgH5SizzmNLSWZndVHsB+sJCU7C9fCAoNNrfTdaWCid/XdOVYq+OXkvhaxLxJOwQcjOTGRkwf2caXuDrt3FpGWksyVutt8+qPPYDaZdDa/BdArY7cY0ZD9SgW/IGaaRhXD9l04DyYhU7MkNA5Rtzg/vXuGfvcs2WU7OXjgw+TsLsVkMjHe00fDmxcYarqP2+lcdXzhEPxa5R5psQfra7OvrITmzgfU1DfyocNVXLx+g+aOLip3lUY0Hk18oEW/BVmt7Fc642Y1JRqAhnFhsLQKS3svKfVt1LS3gXewdDzNiv1gJWf2V5CQmoJjeobuD+roq7/H7MPxFcfuy3oEH69i9yVU8zIR4eyRg/zN2+/SPzzKc08dZ6c9X2fzWwQt+k2Gf6kr2Bc5nIO0/oL3jcNX8PNioSMhn+T6m6RNjDDXnkRaQjvXR4wYTFYLnl127AcrqfQOrI7c76Dvzj1GO7oemz65GqIp+GiKHULL3Z+czAyq9pRR39pOeUkxZpMJl8uFxaI1sNmJ2ifs35x/pfiKStfrH2cl70eWczJk1raeUs5KBT8nVtoTC+ixpKMQEmeySawf5ZpnFKYgyZ5LQmUpuRV7sNjWN7DqS6QFH22pw+rEHohj+ytoe9DHlbo7HHnqLFfeeY1jJ05RUKg3jdvMRFz0IZrzrxp9mfk4/u9HMPH73h/oPVxukdWi0BdLOCsVPEBzQh6d1ixAYW3oJKGmkevjQ4jFTMb+vWyrriA1JxuXY4HBRu/Aat/6tj3wF3y45B4tsUeyf7zNauV09QEuvF/DYH8fVquNm7U15OblY9aZ/aYlGp9ssOb8mjATSOL+8l/uKiDYxtrGY8aJIFCrgsWerON1l5kx2ZivuYug6LcsYE0fI7G2kWuTI1hSkkg6VUXh4QPYkpOYHBji3ptvM9jUuqaBVV98BR8OuUdS7LHcDKS0sIDi/Fzu3b3DsZMf4tovL9N47y5VBw/HLCZNZIm46EM059dEgdVOUV3uuf+kOAWCZO9TpgQa59J4mFtMsmMYW8sD6jzG/gsJ27PIeO4p8ivLEZOJ4dZ2umtvMf6gdy2/1mMEE3w8iD0ed3cSEc5UH+Qv/+ESPd2d7CgppfleAztLykjbpq+aNyNxc60mIl8EvghQYLfHOJrNRTjXIwRqNPagqYe+kv2M5RaB1UlCTSM3uzpxe+ZJLSsmtXofWTuLcC0s0HOzngc3bjM3PhHsR6yKRcmHEny05B6PUg/GttQUKvcf4O6dW5x46jT9vT10dbRTdUhn9ZuRuBG9d/eX7wJUHVhF85BNwKKE43UMIpDc4VGjscbqF1DJiQy/f5PRmw0olwep2MHOY4dIycpkfnKK1ktX6b19F5dj5TswhSJQFu8r+GByD4fYN5LQg/HQuo3yfZV0dbbTUH+bc8/9I9LS02MdliZCxI3otxqBMuzlZsish9Vm9aHkPpmxncHicjyNFsTlprX3Is7JaUw2K4lHKig8XIU1MZGJvgHq/9/PGGppW/PUyECEyuL9Bb9esW8GqQfDbDZz5PhJ3r14ge6uTqoOHWZmZhqbzYbVuvLdqKLJqHI9seGLZnm06KPESiUbDtn7z5xZHDxdTvbLZe4TWfm07T2HuygX18wc3Zk25gdHSDQnkXHuBLl7dyMiDLW00V17c01tCUIRKov3Ffx65L6ZxR6I3Lx8dpSU0tTYQH6BnSvvXKR01x4OHw26C59mA6JFH0HWWhdfTylnNXPifcUOwTfZbmqxMf2Zc3hyMnBOzTB66Rpj9S0sFGez4zPPk1lciMuxwIMbt3lw4zbzk1OrjjsU/hm8IffHBb9WuW81sQfiUPVR+nt7uXvnFjtKSrnf0kRJWRkZmXo3qs1C1ETv35x/K7DeQdBAr11O/sGmR/ofK9TuTWDI3V2QjbVzgGuecQr6B5mtuUNrSxMFVRXs/PVPkJyRzuz4BM0XL9N35x7uhUjX39W6M3ct9idJTEriwOFq6mquU7xjJ1abjbqaD3jmuecRkeUPoIl7dEa/wQh14gh2EgjUcwYCZ/BNnSk4qstxfKEMj0lo+bO/oG96mokPaig8VMWZc7+BJSGB8Z4+Wi9dZbi1fak/zXoIXndfu9y11IPjXyIs272HzvY2Gupvs//AQW7W1tDZ3kbpruV2zdNsBOJS9GbljujAZDSJZqvltdbfARq7U5l/6gDOZ4pRCiaa22mpvUFKSS7HDp8no7AAj8vNYHMrD2pvMTkwtO54VzqoquUeeUSEoydOcuGtNxkfGycnN5fpqfCW4DSxIy5Fv0i4BBnrE0as++oHK9MooLnFhsnh5Oa2eUpL8umpvcVIexe5e8qo/uwnsSYmMDP6kJZfXKH/biPOufl1x+Mr+ED1dtByjwUZmVnsKd9La3MTH3n2o2zPzYt1SJowEdei30xEU/b+g6zwuOA9YqLBXYbj6F7Gd47T83cXGRibZ+HSVewHK9l54shS9t57uyGsq1fDWXPXgl8fga6a9x88TE93N7du1HD++RcYHRnm4cgIeyv3xyhKTTjQoo8iK21CthICyTwY43WXeVhTj8ti5V7CPhyHy1GpScwPjTLY00Pah4+yZ3/Fo+z94mX67zbhnF9f9v5k5g5Zx6uWHtdijz+sViuHjx7j/auXud/SzNTkBO33W3E4HBw4XK0HZzcoWvQxZLXiX4vcAVrqBRBaTpSS+6FDjHZ2M3VvmIxCO3s+chq3y8VQ8316b91lvKdv1b/HInZratD57XqGzMahsHgH+QV2Gu7c4qP/+FcQEZobG1hYcHD0+EnEZIp1iJpVokUfR4Qq7ywned/SjCF2qNueRPbRA3RO3GO4tZ2MDhOejBRydpWQXbKDmdGHNF+8zMAasvdApRg99XFzICJUHz/Bz994nds3ajl15mlstgQaG+pxLixw8kNnMJnNsQ5Tswo2vehjPRAbDoJJ/smsHT5IEeRwEQX791K2PQeXw8F2p4OSU8dIt+cb2XvTfXpvry57D1yG0YuVNiupqWnsrzpI/e2b/PLdS5x46jS2hATGRkd0Rr8BiUvRu8W8KQS9Fvyz+kCrV33l/p5nFjGb6XUY3SBPvfjPSd2ew/TwKGPdvaTl5WA/sI/pkYc0v/0u/Q1NuOYdIWMIPHCqxb4ZCTWNeW/lfixWK7frarnwszc4dfose/ZWICLMzs5gMVuwJSREOWLNWohL0UeacM5+idQJyb/Xu29J5j3PLANqjpzdZRRUHie9sIDB7/2AjMJC5icmsaWmkro9G7fTxVBzKz237jLRG7w1QjCxb8TFSuEc8N4KhPr7FRF2l+8lOyeH969e4Z2L/0DVwcOUV+zj6juXUMrD0888S1JychQj1qyFLSP6SH3hw93nfbzuMl1+5Zj3PDP0OY0NupKzMyk5eYry8t1YEmw45+ZZmJvjzG+9hMVmwznvYKStg+GWNkY7ugPu2hRqFSqsrQNkrLP1YMKK9RqGeGalSUpmVjbPfewFaq9fo/72TYaHBqmsOkjNtV9y6cLPefrcs6SmpUU42ujh3f70FcAOvAF8QSkVdPWY/37YIrILaAR8W7Z+TCl1KXJRh2bLiD4evvCh+sv4Sh1YEjtAWn4uyQsWZh+Ok5iWSl5FOc75eUwWM9akRDxuNwMNTQy1tDPW3fNES+DlxL7ISgUfa6n7s5yw4uGzjzdWeyVqtdo4dfos7Xn53LpRw8T4OAerj3L3zi0uXfg5Z585T0ZmZoSijR4ikgn8GHgJeBdjj4xvAr8b4LnB9sPeBfxEKfViZKNdOVtG9NHEv+wCKxO6L0kZ6eTv30v+vr2kZGcy0TeAUop0ez4igmPKRXftLYZb2pjoG8BuTSURKDAng3n9e6YGkny8CR42x2B7tFnreyYi7NpTTlZ2DteuXuZm7QfsKt9Lb3c3t+tq+fD558IcaUz4VaBOKfUagIj8EUZW/4ToCb4fdilwP5JBrhYt+nUQqI6+iL/Q/QkmeIBDv/Zxtu8pQym1VHpJt+czOTDE8Ht1TN3vwjE6DkAK8FxC8KXq65X7IvEg+fVIffG1OrNfP5lZWTz7sRe4cf0a95ubyNmeS/XR4wAopSK5qMrjZvkGeh6jyd5a538eBG763L4L5IlIqlLqsS9tiP2wS4FzIvIFjPLNd5RSf7TGeMLCphV9JPdIhWBSn13xcRfLKQnbs/AU5ZCWn0tP3R1yy3eRUeTdM1cpHIOjjNzvYqqtG+fk9KNMPUDGDoHFDuvbNzVeBlbDdcytLvtwNAy0Wm2cPH2W7d5SzruX3ubEU6dpa2mmeGcJxTtLwhPs4zyYcTvpWJgkQYJP8Rx2OQCGRKTW5+7vercrXY5tQNfiDaWUQ0Rc3vuDZ2ePo4CLwH8FioHXReSBUuqHK3x92NnQog/nF3Y1QofVSd2fxPwcsqorSS0pwpKUCIDyeMjfV47H5WKmq49tbQNYO/rInPOZChliA+xAhJI7xN8ga7TKMDq7Dw+LpRxjVs5lLv/ibZKTU+jteYDT6aRs957Hnr/e91sppSpsqfS55im1Bp7po5Siz+0AYwC1J0Ts/xH4RoCHXgWSfJ5nw/Dk2Cri/H2fm+Mi8grwcUCLPhTxIPRQpZZQmCwWMosLySrdAT3DWFOSSd+3i+Si/EeXuFOzbJ8aIGO0n/TRfsxul3HhuXt5Wa+FeBF8rOvrWzm7X8nv7fv5hHp+VqqFovNnuXLjNvcf9JJos3Hjg2tY5iY5XPG47Nf7mTc7Z6wpYna6LApLgBLRhMdFkpiYDCF5AKXUt4Bv+d/vLbf8qs9d+4BWpdTcSmP0nkS+q5Qa8d5lBWK60W1cin6xH/1aCdW9EYJJXZYdIF0pZpuVosMHyNldRro9H5PZZNQuj3t/1vQcWQNdpI8NUVycQbJykvH08vL1/R1WS7zMgY+13P3Zytn9xM2rSwvwjMV3M8v+7S/2Myo/oCh7+beX/lZsVivnTh7FnpvD1bo7mE0mrtffw+PxcKRyL2C8139wqW1dMSulXLtsKQy45imyJj3xeK9rnjGPcz3Z0WvAH4vIWYz6/LeAH63yGOeAYhH5D8BO4MsYs3hiRlyKPhTLSdwXX6FDZKQOkJCaQlbJDsRkwuVwkFVSTOGhqqWM3elwMNfdz0x3H+U945jGptjtLb0kF638bzKYrJc7AcSL5DXRwV/gP3UMhu3Yfc5pfso01AK1Xwv4nNKCHez++DnITGPsQQdqX3lYB2jbnbOpyWKetlsSMfkcd8bjAkApdXetx1ZKjYrIbwB/DmwHfgL8FwAR+XXgD5RSy2279RLwPaAP6Ae+pZS6sNaYwoGoMGwDF26OHTumamtrl39iDOno6ODevXu0trYyMTHx2GM2m43i4mJ27dpFaWkpeXl5ur2rZkvhcDh44403qK+vp6ysjMrKSg4dOoTFYkFEbiiljq3n+DusSSpRzORZHrVgaF6YJt+cwB3HpP6y+bHhMvpoMTw8TF9fH0NDQ4yOjjI+Ps7CwgJVVVVMTU3R1NTEvLfjo8lkoqCggPLycsrKyrDb7Zh04yfNFiYhIYFPfepTlJSU8Oabb9Le3s6NGzf4/Oc/H5bjP3DN56WKeTDXbENEmPe4cSgP9QtT+osXgKiIfrVLiiONx+Ohp6eHjo6OJYlPTU0xNzdHUVERMzMzjIyM4HK5nnjtlStX2LZtG9nZ2ZSWlrJ7924KCwuxWPQ5U6PxRUQ4cuQIhYWFvPrqq/T39/PKK6+E5dhKqaECSyJjHidZZht9rnnslkQmHFPxV6KIAyJup9UsKV7E5XLR3d3N2NgYTqcTp9OJy+XC7XaTkZGB1WplamqKwcHBpftdLhcej4fc3FysVivj4+MMDQ3hdrtxu93Mzc2xsLBAYmIis7OzBCpZWSwWpqenSU9PJzs7m6SkJHJycsjMzCQtLY20tDSSk5N1tq7RrIK8vDy+8pWv8KMf/Yiurq7lX7BCBtyOPXPK3brNZGHC46LP7dDZVhAiXqP3Dmz8C6XUs97bR4E3lFL5wV5jt9vVyy+/vN6fuyRzEcFisZCQkEBxcTE5OTnYbDZsNht5eXlkZmaSmpqqBa7RRBClFO+99x5nzpxZd41+kRyzTQFkmK3cX5jRtfkgROMMuOIlxYtkZmbyiU98grGxMSwWy9I/q9VKRkYGycnJeDweFhYWsFqtWK1WbDbb0v/NZrMe/NRo4gwR4fTp02E95rh4TprdnuujHqfulRyCaIh+RUuKReSLwBe9Nx3V1dVrniIVJXKAkWWfFXs2Qpw6xvCxEeLcG64DuVyuDwCd1S1DNEQ/zgqWFHv7UHzX+5zacF3aRYqNECNsjDh1jOFjI8Tp14NGEwWiUZRuAqp8bq96SbFGo9Fo1k40RP8acFZEznpn4KxlSbFGo9Fo1kjERa+UGgUWlxQ/AIbwLikOwUraicaajRAjbIw4dYzhYyPEuRFi3FTEZQsEjUaj0YQPPXFco9FoNjlxJXoRKRORd0RkRkTuichHYh2TPyLy70SkR0SmvbFWxDomX0Tkioic8v5fROTbIjIhIn0i8qVYxwdPxJgsIt8XkUkRGRCR/yEi1ljHCI/H6Xf/H4rIW7GIyR//GEXkcyLS6f3M/1ZEMmIZ3yJ+n/l2EXnNG+Ow9zNf69Z/mhUQV6IH/gr4BZCLsQ1XzHZkCYSInAS+CpwFsoHrwHdiGpQXEXleRP6Ux3ekfwl4FqgEngf+s4hUxyI+CBrj7wEVGDEeBk5g9O+OGUHiXHysGvg30Y/qiTieiFFEDgPfBv4ZUATYgH8fmwiXYgr0Xn4DY9p1PsZnfh54MQbhbRniRvQicgRjscc3lVIzSqkfAJ+NszO9G2M/yMX1B2bgYezCeYxAO9J/DvhvSqlepVQ9Rs+hfxqL4LwEivE54I+VUj1KqQHgf2N88WNJoDjxXml8j/gYTAwU40vAnyql3vc2DfyXGJMgYkmgOF0Y7jFhLHaKp+/RpiSemgAdBVqBH4jIC0AH8GWllDu2YT1CKVUrIn8HtHjvmsPISGJOkB3p/dtPNGBk+DEhSIy/CXT73D6GsWFDzAgSJ8DvY2z63AiURzsuX4LEeBS4JCJ1wA7gdeB3YhDeEkHi/AZQxyP5X8ToaquJEHGT0WNk8+eBn2PsnP5/gddEJDGmUfkgIueBTwFHgDTg+8RZecmPbYDvrihT3vviBqVUg1JqSkRSRORPgF/DKNvFFSJShXE19PUYhxKKHODTwGcxTkQ7CLwBdqz5NkbZMwOjbLe43Z4mQsST6AHqlVI/VErNKaW+g7Gpbtj6YoSBTwKvKqVuehuy/R5wTESyYhxXMB5rPwEks4rd7KOFiJzDyJLLgCNKqY4Yh/QYImIC/g/wOxtgRfefKaXuK6UeYgj1XKwDCsAnga8rpSaUUs3An2CMIWkiRDyVbjoxxA4YM0YwTkTx9MWaxagnLuLCqNvHU4y+LLafaPXergRuxy6cJ/FuSvMXwJeUUn8Z63iCkAZUAz/zdkU1AyYRGQjVbjsGdOLzHSL+vj+LzPrddgIzsQhkqxBPGf1bgF1EflNEkjBqi108klQ88PfA50TkiDfGrwNvxXGW90Pg34pIlnfG0IsYmx3HE18D/nUcSx5v5mlVSiUqpRKBfwVciDPJg3HC/LKIVHivMr8KxOP7+jrwNRHJEJGdwG8Bfx3jmDY1cSN6pdQY8FHgZWAQ4/Lu0yqOlu4qpa5gDMj9FTCAUV/8QkyDCs33gFsYJ8yfAr+rlIqnEycYA8b/S0RcPv8uxjqoDcr3gf+JMbh5D6jB2MIz3vgqxnhRG3AV+LFS6qexDWlzo1sgaDQazSYnbjJ6jUaj0UQGLXqNRqPZ5GjRazQazSZHi16j0Wg2OVr0Go1Gs8nRotdoNJpNjha9RqPRbHK06DUajWaTo0Wv0Wg0m5z/DzQrR4yTqNeNAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,4))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(211)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.15,0.151,0.025)\n", + "contour_plot1 = ax1.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " dqdt_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "ax1.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax1.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "#ax1.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000.+deltaysu_1000_latlon_mean/1000., c='firebrick')\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "#ax1.set_ylim(1013.25,700)\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "#ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(212)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "#ax2.set_ylim(1013.25,700)\n", + "ax2.set_ylim(0,3.25)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "#ax2.set_yticks([700,800,900,1000])\n", + "\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "# ax3 = fig.add_subplot(313)\n", + "# ax3.tick_params(labelsize=fontsize)\n", + "\n", + "# contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + "# rqvcuten_diffs_latlon_mean.T*1000.*86400., \\\n", + "# cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "\n", + "# ax3.set_ylim(1013.25,700)\n", + "# ax3.set_xlim(6,18)\n", + "# ax3.set_xlabel('hour', fontsize=fontsize)\n", + "# ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "# ax3.set_xticks([i for i in range(6,19,2)])\n", + "# ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s='(a) $\\Delta$ dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "# ax3.text(s='(c) $\\Delta$ dq/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.0333, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot1, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dqdt_day1_ysu_zcoords.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 492, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:05:19.412545Z", + "start_time": "2018-08-10T18:05:16.624299Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.25,0.251,0.05)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dqdt_400_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rqvblten_400_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "# ax3 = fig.add_subplot(313)\n", + "# ax3.tick_params(labelsize=fontsize)\n", + "\n", + "# contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + "# rqvcuten_400_latlon_mean.T*1000.*86400., \\\n", + "# cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "# ax3.set_ylim(1013.25,700)\n", + "# ax3.set_xlim(6,18)\n", + "# ax3.set_xlabel('hour', fontsize=fontsize)\n", + "# ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "# ax3.set_xticks([i for i in range(6,19,2)])\n", + "# ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s='(a) dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "#ax3.text(s='(c) dq/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax = fig.add_axes([ax3pos.x1+0.05, ax2pos.y0, 0.0333, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot1, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dqdt_day1_background_control_ysu.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "both" + ] + }, + { + "cell_type": "code", + "execution_count": 497, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:06:21.039156Z", + "start_time": "2018-08-10T18:06:16.717745Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,4))\n", + "\n", + "levels = numpy.arange(0,401,25)\n", + "ax1 = fig.add_subplot(221)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.25,0.251,0.05)\n", + "contour_plot1 = ax1.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " dqdt_400_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "\n", + "ax3 = fig.add_subplot(223)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot3 = ax3.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " rqvblten_400_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "\n", + "ax1.text(s='(a) dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax3.text(s='(b) dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "\n", + "levels = numpy.arange(-0.15,0.151,0.025)\n", + "ax2 = fig.add_subplot(222)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax4 = fig.add_subplot(224)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot4 = ax4.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax4.set_ylim(0,3.25)\n", + "ax4.set_xlim(6,18)\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "\n", + "ax4.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax4.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax2.text(s='(a) $\\Delta$ dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax4.text(s='(b) $\\Delta$ dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2, w_pad=8)\n", + "\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.025, ax3pos.y0, 0.0175, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.set_label('g kg$^{\\,-1}$ h$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "\n", + "ax2pos = ax2.get_position()\n", + "ax4pos = ax4.get_position()\n", + "cbar_ax4 = fig.add_axes([ax4pos.x1+0.025, ax4pos.y0, 0.0175, ax2pos.y1-ax4pos.y0])\n", + "cbar4 = fig.colorbar(contour_plot4, cax=cbar_ax4)\n", + "cbar_ax4.tick_params(labelsize=fontsize)\n", + "cbar4.set_label('g kg$^{\\,-1}$ h$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar4.set_ticks([i for i in range(0,501,100)])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_tendency_terms_background_and_percent_change_zcoords.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# for xkz terms" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "just $K_m$ and $K_h$" + ] + }, + { + "cell_type": "code", + "execution_count": 509, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:11:13.907861Z", + "start_time": "2018-08-10T18:11:13.333026Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 509, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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DirtyKZe4vVCsnh2pJD3R18XQdJjR6TAj02FGQ+bvi1a30TjWT38Qdo5DnQ98gE/M72C0D5EoEa1HtIEAICg+FB8wM3AMJUpzoJXVgWazTtX5HSUU7AMgIj4i/YXrOpireCsBj1UFk24jIgJ8AbgG07/746p6Y57tCQD/BjwPeLGz+P8AN4rIR1X137wey6u83wC8DydtAnwT8GPTITkxn6QNlSXufAa1ZCPp6YFuJsNRI2hHzhsWN9DRUEt3zzF+O2oiYj9KSw10+CE81E9o9BgnKLzCETYwGwKF+nsIAcucn2RMD/SziH4WJVsHPLNiO1ERttE7G5MXQ77jPbnVHS8lHqsKptvmauBS4BTMLPP3i8gjququl5It/4i5D/im2AJV/Z6IdALfEZGgqv6nlwN5krczwuh9zsMDwKqsmlsA5kPUPd+kDZUj7nhpZ3q/ZCPq0d4u+qdCNAX8tNUHGAuFubuzj7Aen5uxVpT2yCStddA81ss5EqCZMA1EkSgm9zGTObecKWWhwFTvMCo+1OcjKn7ntw/RKC2+wxzYdAaHWcSyYwcS9i+2dEcGCztrT11bB/XtHQnL6/2eehR5qSqYbpurgM+p6lHgqIh8D7iCucWusuUNwJ+p6pzZ4FT1ERF5A/AtIH95i8gpwDcwnzyxaoB7cmlxPlS7uOejtKH84vYq7GxvIE4PdNM3NUP3+DQ9E9MMBmcAYVO9sr0ZahRW6yTNEqaZMC1EqCWKTEBoAujvIda5bcb5rUDQF2BoSpmsbWKirokZfwAVn8ldixFwpG6tS8xzBR1bzpbU12T5k3+kse8YB9ZtJ7DrEIHgVOqNKbxsU9E36S/JeeLwUlUw5TZJ1j2LicTzYRVwKMW6JzEjOT2RKfK+CXgQk/N5I/A14CKvB7dYcReDTNLONkcdGuxhPBRmYibC8qY6Qn09/HYIpqPQxgwnyTQdhGiZDhMKmRzHloG5EbRb0iOjE0zUNhlJ1zYxWWf+jvhqoM1sFwgFCYSCSDSKLxpFdAZfNArBMBKJINGo6yfxsc/5OzimEI0ikSiTm9dx7NTT6bj7AaZeeiEHt51Lx90PkO3c7WUSbS7kXVUwwzatwIjreGPOsnzoAs4BHkqybjtwxOuBMsn7TODFqjojIh8DSt6ps1qj7vkqbSifuN3S9iLsdLIOR5XeyRDd49N0jU4wHhEafMrL22Bm6Bhnaw1NEkH7j3fRUyB21uBAP1OBBiZrm2cFHRN2tP24/ALTUzROjrJ0oJeGyVE40k/d6Cg1odTpi2yi4dgV6Zv0o3t64Y0vY+DM7fh++zTB52+hT5qQifzLCPRp8hnoi03IV5v0f2naF4DCVBVMt82cdUBj3L658E3gGyLyf1V19oPHGQT5NUymwxOZ5O1X1RkAVZ0UETvzTgastAtLtlF2MmGHBntQVUamwyyqq0FE+OPBHjqDgg+lnRBrZZqlOk1oMMJMfw+NGFlPD/Qz7a9ltGHxrJzHffVMbToN9R2XdG1wkobJUdoOHaVudIT60WHqRkfxz8xt78igDzNaLb2gc4l+ZWqaqfseo+GVFzC55zChW37O2Ezx67/1ULE3LzNWFUy3jYjsBE7FdIkGkz5+Ms82fRZYAzwiIocxkXgHsAG4FW8DH4EKnwatmqJuK+3Ckk7amYQdG/AyHYnSMzFN93iInrFJpqLCJYuVthpYPT3AUvHRToiIq2/0DDA+NMxwQxvDjUsYWLWBYOPxb8p1wQkCQ8O0HzGSrhsdoW5sFH/YJE5iUfMMsVTKXEl7lXLOke7uw8zsPkTtC08j3HmU7uFBmresY+y5fbkdr0D0RdLn3ouEl6qC6ba5DbhBRB4ANmNKfZyfT4NUNSoi/wB81TlWGzAAPKCqO7M5VsbIW0R+7vwtQK3rcawxr8jmhF6x4i4/pZZ2vlF2LMIWEfomQ9x7cAAQAqJ0aJAtEiIwEmS8v5t6zPDgCDA5OMho/SKGGpcwEGhlYuN2EMEXCdPYe4wT9uyhsa+X+tFhfJHInLRGvKQzyTlbKecS1fp/9TBrVr0G/+Xn0PL0bpZfdh4ajTK+y3RwKJNIc6J/bIJobeKo2dGxwlQVTLWNc4ibgdMwOfFh4F35dtgQkXdjSs0C3KOqn871WJnkHV9M6vscH5gjlHiQTqUxX6UdY1lrc0kEnk0uO5mwp8NRDo0G6RwY4YRa2NoITQpbmGCpTLOYGXy+4930FOifCDHUsIShpiWMbHRSIBqlZXSQpTueprm3h4aBfnyObEcGfUkjaUgv7FLIOp7IVJC+X/2OE//Pizm2ey9jXT10XHIORw7sZ2ayesRdCDJVFUyzDc6Ix3c4P4XinzBTqtUC+4Av5XqgtPJW1W8DiMgLMcPg17r2icn7luR754edLacyiI+G3TIv1JyJuQgb4OhYkL29Q3SHQBFa/VA7NUIoaG7QneQIewaY8NdxLFLPcOMShhraiLQHAGgcH2Z51z7q9h+lsf8Y/vDxHLGJsJPnpishwk557sgUfTt3Eti8mtXnn82u//0FJ73qpWy49EXsuvOegp2nFPSMTRIMJEbeY2OTZWhNQbgHM1Ldj5kfM2e85rxvxYxC+gjmm6ZlgVJOYasqo6EwDaNmIMueURicgfVMskqmWKRhECPsoC/AQKCZvsByhhrbCNUYAdRNjdPee5jWkV5qdh+mZnquNDP19Ki0KHv23ElSIZ33PsSi1StZfd5ZHH74MdZeeC7tWzYwsLuzYOe1ZM1VwGWY4PcT+RzIq7yXA59Q1Yq9rWypfHKNsCdmIuzr6uXgNIxHhJe1QWDkGKepjwDR2ZTIkK+O7ro2ups3M1lnilUFwiFah3poHe5l0XAv4QOJc15Xq7Ahff46PBVk370PcvKrL2dgz36OPfUcU4PDBT2/JTtUVTHRd954lfe3MXVMvlCIk3rFpk6qn2Svn1vaqYQN0N/dzRMT0DcjgLCEENtlChkOgoD0dzEuNfTUtXG0aQPj9a2gyuKpIZZ27qF1qJfGyREEMyzc3WkunbC99AjJRtqlFHY8g7s76X9uD6vPO4unbrmdyf7ED69Kpnc8SDCQ2E99YrxypsArF5mGxz+HyWv7gc0i8iHMQJ3ZG5WqekpRW2ipOnIVdlSVI109+IBltabq3tRMmJMkyCqCNEqEUF8P0+LjUO1iuls2MhhoBhGag6Os3fcE7f2HqQ2Zf+zxnuk5U32nEnahu+8Vq99zrr1EOn/1G1rXrGTTyy/h2R/8hA2XXsDA7k4G9+zPvHOBmYzOZN6oBHipNuhs9ybgY5i+2LESIbtEZCPwHKZqTYyXq+r9RW+8Q6bI+20laUUabPRd+XitKeKWtjvC7uvu5uA0HJ6GYFRYRpDFvmEEeLGTEokgHK5tpat5HX2BFtTnpz40ycpDO+joO0TDlLmROt4zPTsKslSyhsoTtpvwVJDOXz7Iya95GSeecSoN7W1suOxCRg93EQ6WJhNaKdIGb9UGne02A18B/gL4tbP++8DzMRMU/4+qXlmyhseRqbfJA6VqiKW68FpaNZWwzbpuHh2Dw9OCoCxjmlNlimVME+rrQYHBmma6m1bTE2gl4g8QCE+zvLuTjt6DNI0PzaZEYn1gkgm70GkQKP6owkL3xR7cs5++5/aw6oVnsvunv2TLKy9j/UsuYM/P8urw4Il8xH10PMRITeK1nhrPK6DzUm0QTH/s+1X1Lme7zwOfEpElwHpgbz6NyJeKHmFp8U65v514zWNPHOtm/zSsrwMdPsZyrWOR+FnBFNLfbYTtb6C7cQXdgVZCNfX4I2Ha+o/Q0XuIRcO9CDonJRIv7ELeYHRTimHgxRxAs/9Xv2HRmpWsOvdMjj7yJ1afdxb9O/cxtO9A0c5ZSRG3Cy/VBsGMvvyF6/GZwCQwipH3JSJyDSZ18lVV/Wxxmz2XkslbRB4C3quqv892X5s6OU4lXQevaZFQXzcTEdg7BQemIaxC7eQwKwTa+01BtwlfLd0Ny+mqaWWqtgnRKIsHulnbd4i2wS580WjaHHa8sPMtpFTKeh2lGvHoTp8M7j3ARG8/ay88p2jyLoG4M1UVTIWXaoOo6uwMzSLyOsxsYu9X1bCIKKaf9j9jBt38REQOq+pteT2jLCi6vJ0bA68FLij2uUpNLiL1MiqzkgSdDK9Rdqivm4jCY2NwJGQ6tq4gyAaZoLH/CBPio7uugyP+FsYazNwwLcO9rD/4HO39R6gJzzDeM417OEaxhF2u4kqlHqo+uGc/fTt2s+rcM9h15z2MdxduurRi0DsZZiyQWFxrejIMGaoKisg/kXyO3e+QudpgbF0H8HVM1H2Nqt4JoKofcG02LCJfBl6JqYdSEkoReV/gnCfncdaVLrNsqNbn4rVPNsB0bzcjEVhcA5GhY8xEF7ORMOtlEn9/FyP+Bp6sWUpvywlEfX4ax4dZ0/kk7X2HqQtNMd4zjbsj2HyJsCuF/b/6DYvWrmL1eWfx9K0/AqCutZnpApdCaDRlW4HypE+cuiEJtUOcVEemaoOISBNm/t6HgZPdKRXng+EmZ5YxgACQueBKASm6vFX1wwAiktMMFNUqu/mAlxrZbmlP9nZzMAh7pmAqCi+RPuoFTh/YSRgf3XWLOdS0nrH6RfiiETqOHWRZTyfN40OM90y7ijwtDGGXq0BUODjNvnseYOtrX87Kc8+gtqmRto1reeKb/01kujj/b26RVwBeqg2CqSLYrarxNZ7A3MxcLSL/iCkbch2JtaCKSsXcsBSRa4FrAVauXAlYcZcDr5MauKU9dqybvVPQGYSQCosJcbJMQn8Xg/56Djeu5GjtYiL+AI3T46zb+zgdvYcIHnW69znHWQjCrhSG9h6YTZ/sues+lm/byrqLz2PfL35d7qbNoWcsSh2Jr31oMvf3Q7pKgu6Kg5gbmxc5+XA3GzGivhlTj7sb+LSq/jLnRuVAxcjbudFwE8Dp27apFXdpyGXKsNl9e7vxCcwo7JqC5UzP5rOP1S7isdZNDAWakWiU9v7DLOveR8voABOutMhCFXYllGWd7X3ygudz9A9Psuqc5zOwax/DBw6Xu2lFJ00lwdmKg6p6PWZkeSouL07rvFEx8raUjnyErc4oyN1T4Bc4K3yMWuAy8TE12M/h+naOtj2PGV8N9aFJ1nQ+ydLeAwRmQkm79xVa2FDZ0q4kTPrkQbb++csZ3HeQyf5BNl5+MU988/tEQpXRxa9/3CST4wlXbVHBwmHlvQDIR9YxwlFl39Ee9k7BaESoI8J6mSSi0DU6xeH6dgbaTgGN0jHeT8eB55w+2WYQzTSpo+yFJuxKiLpjDO07QO+zu1j5gtPZd/evWXXeWdS1tlRdDZSFyLySd6pueAs5BZONuJNJO9RnJuDdNQnPTAotzLBdJmkdPEpX3RLurV1MqPUEameCrDr4DMt69lMbCs5G2e6a2IWKsqtJ1NXAgft+y+K1q1hx9nae+OZ/oxFb9bkaKJm8VXWd521FCjpLTaGOVU0fAvlIO6rK4a4e9k3BunpYNnGMFSrUj4wSFR8HfS0MLN4KwKKhHtZ1d9I22M1ET5AQ0FdgYVtZF5fZ3id//gpWnXsGR37/OCvO2k73408TnSlv+qRvRPCHJWF5JJi4bKExryLvYuP+EKhEkacSdox03fzA9Bo5EDS9RiajJjUyMXiEwfAkh6P1HGtdzXSgnppQkBVHdtL89C5qJ0xfka40wobKKPJkSc3QvoP0PrOLVeeeQXB4hDUvegG1LU3sv/ehcjetKGRRVfAB4BzXou+q6tUiIpgS2ddg+nd/XFVvLH7Lj2PlXeVkEnaMTAWiAB4cDDNKgLaZcdYHB4iIn4M1ixlrWWvqZA/1sGzXXlq6DuOLRhkZ9DGVYeLdTNJeaKKupHx3PPvv+w2L1q5kxdmn0/3406w4cxsDu/Yxejj5vZFqxWtVQYcNwKIkE9FcDVwKnAIsAe4XkUdU9U/xBygWVt45Us56K16FHSMmbre0p3q7OTINh6bhzHAvNaJsHhlnvKaeAa1lR/NqVHw0jg+ztvMJ6p/ZS2A6yMigDxOe+PIqALXQpF0NRKZDdN7zAFtf92cMdR5kamiYTS97Mc/+9/8WfPSlV/qHfch0YqVITbIsCzxVFRSReiCcYgaxq4CzmEm8AAAgAElEQVTPqepR4KiIfA+4grkFr4qKlXcVUQhpD/V00xmE/VPKDD6awkGOTE0xEPHT27KGsL+WQGiKE47uoXHHHhpGhhkZ9Dn1RfITNlhpVzpDnYfofWYnK88+nb13/5r1l5zPSa95GU/dcnu5m1ZIvFYVXAfUisjjzt8PAG9X1Z4kx3gWE4mXDCvvPIjlwEsRgeeTHomlRQYH+rlfOxCF9plx6qIhBnwNPN2yDolEWDJwlKW9B/DvPIyoMjLoI5TjjUcr6UQqOWXiZv99v2XR2lWsPPt0nvn+HYjkFeUWk6JWFQTagB3AO4EjwBcxRa0uc7YdcW075iwrGVbeBSC+N0shZZ7NTcj4in6hKBychuDEBCf5xvH193Jis5+JqNDf0AZAy0gfKw7soO7ZTvxh07PAdO8TT32xraS9US3iBpM+2feLBzjl9X9Gx8mbOfTQIwCsvfBcZoJBuh59omRtaRwGX5LpKqMhmCxyVUFV/R1G1LHtbgCOiUgDMOw+BtAYv3+xsfIuAsm6JuYidC/d/eKFPROFw0MjdGs9vdQRRWgJ+xiaVAbankfU56d+aoxVB56ho/cg4YPH32/JRj26pW1FnRvVJO4Yw/sPcezp51h17hn4AzUcfOhR6ha1sPKc59OweBGd9z6ERvMfXFVMClBV8BVASFXvdRYFgDAQAnYCpwJ7nHWnAE8W9AlkwMq7RGQrdC9TicXSIaEoRIeO4RN4LtrMXhYTiIZpik4xhZ+xmkammgJ0HDvA0mMHaB4bZMKZTd3LqEcr7dypRnHH2H/vQ0RCM6w4cxuL1q1m789/RXBohFUvPJO6RS3suvOeolUhLDJeqwouAT4qIq/EFKD6Z+B2VY2IyG3ADU5Xws2YCoTnl6T1DhUpb1HNvFGVEy/ubGQNMDbQSw/1HJ0WBgMtbBubYnpigqFmP76GOmZqAoTx0dzTxeID+9Ad3Ugkyiiwb9JPrGLEXEkniiaVfJb6G5IutxiqWdoxouEIB+77LUN7D7Dp5Zdw2pV/zpHfP87eu+9nw2UX8rwrXsVT3/khFPH/dfFwLzW1icFDZGaC/iTbe8FrVUFVvVVETgIexMwlcg/HC1XdDJyGyZ0PA+9S1T2UkIqUt8r8Gj3lFnVM0rE0nhdRhwZnZ2NirL+fp5rXMhhYCuLDLyFqQkGebFkHrYI/OEX9vkM0HOpifE8fM9Mz7JgVtCRE0blKJn4/K3PDfJB2PCOHjvLEt/6b9S+5gNXnncV4Ty/77v410XC4qOIuJl6qCjqPPwx8OMl2EeAdzk9ZqEh5VyupoukgmacLm7vumLO8h6AvwNGZGkSVRfueY2TxcsY2BZBwBA34iNQE8PeOUtO5D9/+LgZ6BoC5qY5SCCXZORaS0OejtN1EpkPs/fl9DO49wMbLLmTDSy/i0INmOtqOrZvRSISB3Z0FP69MdiEzo4nLbVlBK+9cSBZJQ+6SNuvMdtMD/UzV1NNNC4MdqxlvbQfAF5wmes5m8PshGGLmYBfhzi66DxwkMmXi+JhAvEw5VYqZTeZ7dD7fhZ2Mwd2djB3tZuNLL2b9Sy6gbdM6fH4/ratO5OCDv+foIyUbo7LgsfJOQrp8NMCoh6HmZl1yOc8e95jp6THWM02ouYWpQxOo30/XSy9C15yAhiPEEkhT45NMdB6ha98+Ro/2zPm6msv8gO59SjVFVbXmzxeipNMxMzHFzh/fxbLTtrL+kvNQVUaP9rD2wnOpb1tE5z0PVnxPlPnAgpR3oeRs1qcWdEzO4z3HUxgjgz4U6K1dRHT1OqZWLcN/5nJ8jfVMHu6h/oQOfIEaIqEZRg4dZajzIEOdhwiNHR87UOjJXMshcje5yDEf4VsZF4bep59j5NARNr/iJbSuOpHJgSGWn7aV+tZWdtz+04IIPDR5mGhNY8LySMT2gJp38vbS/S7TzUKzLvsIOibp+O53SgBd3MxgKIQGQwRP38DSi84GoEYVcW7Q+lobOfbUDoY6DzFyuIuJmSSjE4pMsg+GCps8FrACzodCfvhPDg3y6HdvZ+3Zz2fji17IzPQ0UxMTTIQrW65eqgqKyIeAD8Xt6gfeDPwAM6rSfcf2bar6rWK1OZ6qkLfXAS7BgV7S6S7d0HGzLDtJQ7yojeQUGFjUSM3q5fjXnoB/9XJ8DXXUjYzhb2qkpcb0p54aHGbk8FFGj3TTe+gwwdGEipQVgdd/9kqUfLVT6G9ZRUGVg48+Tn/nQU595Us54ZQtRGZm6H52FxqNMHK0O/MxSojXqoKq+kngk679zga+AfwYU+vkMVUtad9uNxUpb1H1JOxC1Pswy4737oiRKfXhpnfSjy5qhuW1yPgUw6s7aLr8XMTnQ53IWqNRItMhxvccpOfQYca6egg7Nxqr4h/UA6meh5V6eubL6z/RP8Cj3/kBG85/AevOOZMTnncSIsKzP/slx57bndMxQ5PHiPjrEpZHI3kNDvJUVdCNiNQA38ZE1xMish7Ym08j8qUi5V1TW8uSVWszb+hlmyIxNDTE/v372blzJ3L4MNPBIH6/n0gkQgPg9/s58cQT2bhxI2vXrmXVqlUEAlZiloXBoUOH+NGPfsTIyAinveplvOPzn+biiy9GRGbThGXEa1VBN28DDqrqg87j9cDpIrIPaAJuBT6gqiX7JC6JvL3OWlFJjIyM0Nvby8DAAAMDAwwNDTE1NcVpp53G+Pg4Tz75JOPjx1/n2tpaVq1axebNm1mzZg0nnHACPl/FVmOzWIrKmjVruO6667j77rv505/+xIMPPkh3dzdXXHFFNofpmp7spbFldcKK4FQfQFORqwoCIKas4nuAv3QtDgCPAh/EFKX6IfA+4FMezl8QRIs8QsrJL+1jbn7pqKqm/Ipy1lln6WOPPZZqdd7MzMxw5MgR9u/fz9DQECMjI0xMTDA5Ocnq1auZnJykr6+PUCj5VzOfz0dzczMrVqxg06ZNrFu3jiVLllRCRGGxVBy7d+/mhz/8IaFQiBe/+MVcdNFFf1TVszLtJyItgdpFo82tG6irXzK7fDo4xPjoXmZCo4tVdSTN/umqCnap6ged7WqBaaAxvjiVs/5VwAdV9Zz4da5tXg+8R1VfmOl5FYpSRN5Z55emp6d5+umn6e3tJRKJEA6HZ393dHRQW1vL2NgYPT09RCIRIpEI0WiUaDTKsmXLCAQCjI6O0tfXRzQaJRKJEAqFmJmZoaamhpkUk6r6/X6GhoZobW1l/fr1BAIB2traaG9vp7W1lebmZpqbm6mvr7eitlg8smXLFt75znfys5/9jPvvv9/zfqo6JiLLx0b2HvP5TiZQ28pMaIyxkT2EZ8ZOTCduZ/+8qgq6eDOm/on7GNcB96hqLO8dwMxlWTJKEXl/AYiq6nudx3WY3notqfJLK1as0Le+9a05nS8QCFBTU4OqMj09PZtjCwQCNDQ0sGbNGtrb2wkEAtTW1rJ06VIWL15MU1OTTXNYLEVEVdm1axdbt271FHnHEJH1NYHmzpZFmxgb2Ut4ZnyTqu7LtR0i0o4p5fpqTL77VuAPqvrRJNsK0A9c6p6fUkS+hilqdTXQDNwJfFlVb861XdlSisg7q/wSQEdHB294wxuYmJigpqZm9icQCNDU1ERdnbn7LCKz62wkbLFUNiLCySefnPV+qrq/Y/k5jAztYFHbKfQfeyRncTvH81RV0Nn8VMykC0/FHeYGTAp4P2YShm8CX8+nXdlSisj7XzAFzdPml0TkWuBa5+GpmE/ESqYDcq5KWUqqoZ22jYWjGtp5kqq2lLsR1U4pIu+deMgvOXeJbwIQkcey+VpVDqqhjVAd7bRtLBzV0M64HiKWHClFkvcO4EUi8iKn50mqWSssFovF4pGiy1tVB4BYfukw0IuTX7JYLBZLbpRkkE6qWSvS4KWjfbmphjZCdbTTtrFwVEM7q6GNFU/Rb1haLBaLpfDYjs0Wi8VShVSUvEVkg4j8WkQmRGSHiFxc7jbFIyLvFZEjIjLutDX7jqtFREQeEpFznb9FRP5VREZEpEtE3lbu9kFCGxtF5FsiMioiPSLyHyJSERW83O2MW/4pEbm7HG2KJ76NInKViBxwXvMfi8jicrYvRtxrvlRE7nDa2Oe85v5yt7HaqCh5Ywqc3wcsA/4ZuK28zZmLiJwD/APwIqAdeAT4alkb5SAil4vIjcAFrsVXA5cCpwCXA58UkeeXo32Qso3vB07GtPF04AXAdWVo3iwp2hlb93xMkaKykqyNInI68K/A/wVWAbWYYkllI8W1/DgwDJyAec1fAlxZhuZVNRUjbxE5AzPA4BOqOqGq3wb+ssI+kSOYuRZiN3r9wGD5mjOHCzDtco9avQr4nKoeVdWnMQXosyrrVmCStfEy4F9U9Yiq9mBGqb2kHI1zkaydON8IbqYybrgla+PVwI2q+junauebMb28ykmydoYx7vEBQmX9H1UNlVTP+0xMvYFvi8grMMNOr1PVSHmbdRxVfUxE7gRileWnMJFD2VHVDwOIyKWuxfF1i5/FROJlIUUb/xY45Hp8FtBFGUnRToAPAL8CngO2lLpdblK08UzgfhF5HFiD6eF1fRmaN0uKdn4ceJzjQv8VplidJQsqJvLGRN0vAX4BrMbUCrhDROrL2ioXIvIS4LXAGUAL8C0qLLUTRyvgrrw25iyrGFT1Wad6XJOIfAn4c0zKrKIQkVMx31o+WuampKMDeD2m7vQWjMCTlUQtN/+KSTkuxqTM1lLmVFk1UknyBnhaVW9T1SlV/SqmzOJJ5W6Ui9cA31HVPzkVEd8PnCUiSzLsVy6GMUV1YjRiiuhUFCJyCSaa3QCcoar7y9ykOTjF+L8BXJ+mbGil8F+quldVBzGSvKTcDUrCa4CPquqIqu4CvoS5J2PJgkpKmxzAyBqYLcXow6QmKoVJTH4uRhiTB6+kNrrZiSnytcd5fArwZPmak4gzy9L3MXMD/ne525OCFuD5wF1O9Uo/4BORHlU9oawtm8sBXP9DVN7/T4zJuMczlLgW9nygkiLvu4EVIvK3ItKAydUd5Lh4KoGfAleJyBlOGz8K3F3B0dhtwA0issTpKXMlcUXlK4CPAO+uYHHjRIgBVa1X1XrgLcAvK0zcYD4ErxORk51vg/8AVOJ1/QnwERFZLCJrgbdjphGzZEHFyFtVh4CXAm8FjmG+Wr1eK2gIqKo+hLlp9QOgB5Ovu6asjUrPzcATmA/B24F3qWolfRiCuan6NREJu35+Ve5GVSnfAv4TcwNwB/AHzNyxlcY/YO6/7AN+A3xPVW8vb5OqDzs83mKxWKqQiom8LRaLxeIdK2+LxWKpQqy8LRaLpQqx8rZYLJYqxMrbYrFYqhArb4vFYqlCrLwtFoulCrHytlgslirEyttisViqkIqXt4i8U0SuEJGdKda/RUSuKuD5Lk51Li/7eN1fRNQ1HHzGmQbsRyLS4ay/SESeKWQ7vSAi60QkWOjjlopiXRfn2O8UkSucv/N6/ZxtCvretSwsKlreItIKvBHoT7PZLcC7nEJRmY73WRGJSuXMO7lKVWtUNQCsB5pw6i+r6gOqemoxT15hsxRVDMmui+u96K7Bke/r5/m9a7HEU9HyxlRvuwNTdrVGRL4sIoMi8kdnvj5UdRq4HzMFVEqcf5A3YiZ5+PsM5004V3xE5yXCc6r57RCRd2Z6oqo6ANyJqWkdH82/UkR2OtHd7SLS6OzmE5Gvipmweb+InOc69zUiclBEJkXkdyKyzXXcP4jI1zGzmcQiwGMiMoCp8BY7xmdEZEDMxMCfdepax+YlfFrMBLI/FZHVrmM/KmZC2T6nzS9Icl1SbpfqOju/d4jIV5zn+4iIvMppR5+IvDfd6+c63ktE5CkxE0j/QJxa7MmuSxxvAe5INbNThtfvr0XkkIh0i8iHROSAs4+n967FkoxKl/frMBMSA2zETI22ClM+8vsxmTjbvDrDsa7C/KN8BPhrEWlLs23CucjyWjmC/RnwY1X9Dw/bL8NUUrwvbvk64NuYcq4rgCXAu53VmzE1nDuA7+JEfU6U+CXgVZjZSn6Led4xzsQI6iwR2QT8C+Zab8TU/EZELsbMGrQBM9XbnwMvE1PC8/vAOzEzHj2JmRszxtnAUWfdT0k9K47X7dxsxUzasNx5/GXM634h8CkRWeQsT/peEZFVznV6m7NuCvhCsuuS5Nzu92ICaV6/zcAXMa/F84CL43b18t61WBJR1Yr8wchyBiOfi4Eu17oApqTkJufxSmA8w/GeAs53/v4B8N4U26U6198CO+O225ni770Ycd+Vpj0KBF0/iimR2eA+Jma2nm+69tuKmbT3YswUZ7HKkOcDe52/6zGi8GGmwvos8GvXcXtcx/sg8DXX47Od9lyMmXXn9ZgZeJqd474fuCXu+kxgZgK/GOh1teniWJuSXOOk27mvZdx1iLUnts9NwL+6tuvHTP2V8r0C/CPwFde6dcBQsuuS6r2Yw+v3QeAm134vBg64Hmd879of+5Psp5Ij73bMP01sDsbu2ApVnQH6nG3AzDzd5EScCYiZZktV9bfOoi8C16fJ+aY7V4x0126js/05IhK/n5t1erzA/2LnvP8Ut80aoNPVnudU9ZfOwx5VjdX0jTB3ZqQPYOp434IRuZth19+rmDsBcJdznl8D78KkmI5hJnZow8w3uNfVnhnMa7TMWTToalOQ1LM1ed3OfZ17XftEgdEU26Z6/dYC14pIUMxN2Z1AixyfJ9V9XdzEvxdjeHn9VjP3+vbErU/73rVYUlHJ8o79M4vz+8TYChGpxXx1Puwsisb9jufvga/EHqjqbzCR2mtTbJ/sXL9j7vVaFr+TiyPAi5x9PE0Aq6ojwF0YmboZ4HiaABF5oauHQqpi7G/ARJXrVfVi0s/MfQzzARFjjXOe7cDjqnohRkAKvAcjwtk2OqmKDuYKKh+ipL7OXovPp3qv9GKi9ZhwFwHnqGqm3jXx78UE0rx+k8BS1+PNceszvXctlqRUsrz7MBFZLDd9ooi8XUTqgPcCj6lql7NuCTClZlLgOYjIekxONH6W9y9hIstkJJwLI+Q1IrLUidjflKbtE07E917gGjEzj3shQuJr8iPgL0XkNCeK/zdM+iIdNZh5FuudG5XXAQERSSafHwKvcz4UFmO+5oNJn3xdRE7ESLMe85r8EPgLETlPRJoxU8H9XFVTRa3Zks11TkWq98oPgb8Ska0i0oTJd3/Aw/Hi34upSPb63QdcISInielG+J649SnfuxZLOipW3qoaBh4FTnMW/RETzQ5jIuZrXZufiolyk3E9pgvXLhE5EvsBPgOcLyLJbk4lnEtVOzG5498Dj2CEnuk57MD0bsl4w9JhHDhTRGZTCKr6J8xX8Z8Bu53zfyPDcb6D+Yrfi5kW6z2YfPA7krTxaWf97cAu4BfOqluAZ4FnMDdF+4AvqeqTmG8y33GWbcV8OBSEXK5zEpK+V5zn+n7MDdJeTBolY9uTvBdTkez1+ykmTfcQZmqyRzETV8dI9961WFJS0dOgicgNwCJV/XCG7T4DHFHVr6TbzmLJFa/vxST7tQHNqnrYefxS4BOqeo7z2L53LTlR6fJejOned7YT/STbJoCJZs5X1clSts+ycPDyXkyx38WYlN0LgRBwK/CIqn7Qvnct+VCxaRMAJ4/6X8BfpdnsSuBG++a3FBOP78Vk+/0akzp7HNiD6ZHyaWe1fe9acqaiI2+LxWKxJKeiI2+LxWKxJMfK22KxWKoQK2+LxVIVOHV+LA6phiSXlfYlS3T1ypXlbkbBiCYdG1NZ+Oy9j5S4X79yXKdoKBj3eDpxm5m5y3yBuqTH8tUmX14qfLX1PPnMM/2qujTz1sfZXNukAYRNtU3sDU1k9Q8lIg9hahn93hmo9gXgGkxNno+r6o3Odusx4xfOxNRC+htVfS6bc5WSipT36pUruffOH5e7GQVj0p9pQGRl0Bip2jkYikaq165U12ri0O45j6cO7UnYJnikM2FZjPpVGxKWNayJH6FffJrWbJm9lmvXrj6Yzb5b61q0LxLizPpF7AyNs7WuRZ+bHssocBG5HDNI6wLX4quBSzHVM5cA94vII85guFuAB4BXAG/FVMs8nQrFpk2KTLWIG6qrraUg3fUoxbWKF3cy0ok71fqpQ3uSfggUg6Y1W2bFvadviLt2ZVcCZ1tdqx6dmWJrbTM14uPk2haOhoOcVtfq5SvQBZgA1V164Crgc6p61Blx+z1M+YI1wPMxkfgoJjpfJ5UzcUsCJZG3iFzvFKIfFVO8/8TMe1U/1SjDamxzMfByHYp5rZKJO1648WKePLQv6bFSCb7YAo9J+8nBKfb0DbF3cIwdA96/sYjI9s6ZSbbWtVDjlO6vEWFrbTP7ZyYRkTPS7a+qH1bVv8UUd4uxDfiT6/GzmHLB24Hn1EyQgapGMVUnN3lucIkpurydokwfwxSqX4Gprfy5Yp+33FgJVi/ZvHbFeJ3zEffkoX1JJV5KgTet2YKs3zZH2nfu6eOOnRPs7ks6EVEqPrm5tolamaupWvGxpbYJ4BYRecz1c23So8yllbmlfcecZfHL3esqklLkvC8EfqqqjwCIyG14LJNarVS7uCf99Qs2/53La1fs65VLxD15aB+NazYm3S8+Dx47fr658FikPQkJkfbuvgidx+BId1bKqenw11PnSyy73+gLwPRoj6pemmUzhwH3nKGNmEk+4pe711UkpZD3zcDXAJySplcCD5fgvGWh2sUdYyEKPJ/XLrZvvtcs0w1Kr6mS2Lp4gceOkexG5tShPTkJPBtpr+wapTTZ9pTsxFRyjDXjFMxUfruArSLiU9WoM8XiSZheJxVJ0eXt1LVGRN6CmboqiJnGaw7OV55rAVatWFHsZhWF+SLuhUihXrt8PvQKKe74bZJF4fkKvGnNFnMO52bk3sExAHYMBGelDUbcK7tG8Q8+6em4ReY24AYReQAzMcaVmMJge0VkN/APIvIV4H3AM6p6tIxtTUvJugqq6s0icivOLNwicmJM7M76mzBy5/TTTqu6TsfzUdwLJfou9GuXy3XLV9wTBw7P/t20bnVim7JMo2QSuLsHCUzNRtuxnHYs2l7ZNcoaR9qTQ88QmhpMe9wScDOmLvtBTKrkXaoau9hvxPTz/gTwB8yMVBVL0eUtIh8EDqrqrao6JSL/Cfw75kbAQPq9q4P5KO4Y813gxXrtsrluhRR37LFXgceO7zUPPtuDxIO0VwL+wSfzkvZaXzONvkRNBTWCmcEvM6q6zvV3BDMpSbKJSXYD5+TU0DJQisi7D3i/iDyMmdz23cDTqjovxA2FH7BR7g+DSpO1l/7O8cS+0qcjm+u8p2+IzUszzYKWePxKu5a5km1eOyZtoBKi7XlJKeT9DcxUWQ9j7uY+DLyuBOetWjL9wxdK7uUQSy4izvU8XgTuBZMaOP47Fcnknum1aowEE9oZexy7VrHoNxYNu6Pk4JHOpNG0m2S5bfdx44lvj5V2YXAG/OwB6oC/AfpU9X9yPV4pbliGMdH2u4t9roVCtnIvpaSzlXOmfsblGMrtJibs2M24eDYtaUnYNhXZyl3Wb5vz2rmlmkrs7mXxpPswc7cjfmYIK+38EZF3AR8C1gNfxvRkqRORc1U1flJqT1RkbRNLfhRT1vlGztkOCsl1EEkhpO8Wd/zIwFPa62fXpcItdvfxvBATfSq5y/pts38ni96T7euWcmJbpmb/in9O5ZT2ap+fliT9vCejBT9VsXkX8AJMb7tXYyYEB9MV0crbUjxylXYq+WaqyeEm1dd+L+dNFW1mSmfEizt2Q27LUiOSVMO8Y1KP7ZuKeLGnOn9+pBaym0xD1m2kXRAWAUeAFwO7VbXXmRc15xxoRco7KjKvbvZUO9mIO1OknK7nRKrcrRfR5yL4VKQSN5ByeHc2Uo8du1h4kXE6OuM6cVhpF4QfAXdh0ib/4ZSf/Q/MpNY5UZHyjmEFXl68SNtLWiOZfFMN6U5Gphtyyc6Rr8yTdYFLxobl5ncyIcaEDpmFmivZijgeL8PVrbQLwlsxA4JQ1W+LyAsxIzv/NdcDVrS8wQq8XKQSt9ccdCZhx/dNdhPfRzmZ1DMJ3X3+bHqdJKt+l6wmx6oTw7Pr4kkndJgrdTdZFm1Keu50Ml7ZNZq4LMl2yUZClmuAzYqOGRbVJI7ZG49EIPHpVCyqGhaRR4A9ItKIKT/7lKrmnB+reHmDFXgpKaW0hzrn9mto29CYsA2kHjGYDC9ReircQ7xhbq7XLb6jK1qTStKL0GPH9UK6qDn+/LH2xWTsdSh6LJpOh42082dB9zaxAi8u6VIk2eaxY3iR9pHeAACrls3MWR4Tefy+kFzm8ed0Szy+z3eym5XuG4Tu2hzxdTkiS7YnRLBHV5iqoamic8icvkhFsg+J2OjFGH7X8PNkWPlWBAu7t0mhKrdZ5pJLtJ3uJmI20k72OJ3I44+ZSuTuNmTqNpjsBmW8uCeHnqGx7dSEiDYbmcNcobvJJt3hboPNQ1cNC6O3SSbmWxQeL89CjQzM9rxucunil620D0Tnpg/WOf1504kcco/Kk+FV3JAY2XqVOaQXejxW1oXDqR7orlfyXczkw0knIS4iC6u3STrmg8BTyTO2vJgSzzbazjY1At6k3Rk1OeYNvpakMo8XefxxU0Xlboln6vOdTtwx4mVZ27DEs8whUcgxmScTPVhhx1i0tpG2ukRN1cyEIXNFXIANwKLY9GYAInINqSchLhYLr7dJOqpV4F77TRdD4oVKkeSSGkkm7WSPN/haErbPVuTuNqXqNujuWZLq5mSqXhaZZN7YdiqQeOMwlczjt1vIwi4UIlIPhN3idpidhBg4KiLfA65g7tyWBcUpE/JtETlNRC4DHgT+4CzPiaqWN1SfwHMZqVioIku5nLsQ4k4n7ZHI8f+rRf66OdvEJO4+RnxqJSZx9/njo/E5bXfumyQTt5tsS5m6t0sVlceOm65bMsQAACAASURBVLRdVtbFYB1QKyKPO38/ALyd5JMQZzudWlaIyDZM6sSPmcv3HOAnIvIaVf1jLsesenlDdQm8ac2WrCVaqMg7l3MXmg2+lgSBw3Fxp2NdkhoX8cTE3bRuNY1rNlK/agMNazbHTR6QmCqJserEMEdoZSXbMUdKL/DahiUJy2Kizobj+1iJZ8FKEXnM9fgmZ1KXGG3ADuCdmJuFX8RMtpBqEuJi8l/A51X1RhGZUtUnROT9zvKzcjngvJA3VJ/AIXMkXKobl2B6ZCRLndSv2pBVHZJkrPP5E/LZhcAddcNxcS+98OIEaceXNE0Wbc8eN4XAcxV1LFWSjlhEHjteY5uNxgGa1qygqSHxgz0yPQPsOJpuAmJV/R2uKRdF5AbMDA6DJJ+EuJg8D/h2rGnO7//ByDsn5o28oboEDqklXkxpp4u+vQq8cc3G2dRJ07rVs6mTtg2Ns6mLVctmEnLe8bhTJvG4UyaQGHUnE7c72u644M+AufMrZpL2nOMnEXg6UXsRdDrc+8eL3EbjuSEirwBCqnqvsygAhEk9CXEx+T0m136za9llxF7cHJhX8obqEziUNsLORDEj8FzJRtxt510+J0Wyd7A3K2nPOY9L4HVLtlP47w7JiRd5NUfjyb6tlJAlwEdF5JWYWbz+GbgdeIgkkxAXuS3XAv8rIn+PycP/DlgGvDbXA847eVsykyn3XYkCj+EWtzu/veS8y2bTJE8OTuUl7TnnOzEMJzYm9EIpFalEXmnRuFdJm/bnPHlMVqjqrSJyEqZnhwD3ANdjqqKkmoS4WG05ICKnA2cDa4Fe4PdJesJ4Zl7Kuxqj71KTq8BjpEqdFAJ3ysQddScTtzu/Leu38WTfEHfu6ctb2vHEovBik+4Dwi3yWH+aUkbjmQSdy43aTDSsXEdjc2LvofCUt/9vVf0w8OEkq5JOQlxoROR9KVatB84REVT1c7kcuyTyFpE3AR8DOoA/Ateq6q5intMKPH+SCTxT9O3OexeSeHHH57djaZJiiBtihaVSd8n1MnLSC7HBO/HESz2ZyPNIn2YkWzHnew9gHrG1WAcuurxFZDPwFeAvgF9jCrR8H1MSsahYgafHS9fBTBF4MYlF3anE7c5v37XrEDsGgtz9TIQj3TUpa4jkwoblsTKurv7qcR8O6c5XCLGnk3pMlHVFFGap8v3zDVV9c7GOXYrI+xLgflW9C0BEPg98SkSWqGplJOwsaUklcHfqJBleepzEE0uZJOvTHRN3svz2HTsnZkdIrnnmISJd2zm6ojUvicfKuG5Z6ndmwjkeCGxZOre0a7pIP1Mb8pF7KqlbKgsROQtzw3Q1cd5V1ZxmDimFvO8AfuF6fCZmLtSS3P1xl/+0UXgiXgfuuAWeLHVS6Lx3jFjU3bahMWN+W/84yZpYIamhZ1gzeGrOEo9F26e018/ON7lpSUvc9GXu95M3kSd9jgX8llANZDNMrG7FWupbE+f7nJ4ofGquyNwC/Az4OHPfODlTdHmr6uxbWUReB9wIvD+fMf25kmnSWTcLSfS5CDxGpug7F9zpEi/57QefOF5IarjrwdnjhKYepDYHiceLOzaTe3qSixxyr+WdDvfkDvmSamafGNnO8APFec5VTgfwQVUNFeqApbph2QF8HRN1X6OqdybZ5lpMX0hWrkw2OVNp8Sr6hSR5N+luXOZ609LdyyRe3Ony2yu7Rpned1uaAlLP0AisZDvaRVqJJxO3+zXOVuS7+yJzROtVaunknEq28ZMcF4pT2o//nW4uTrfk07W/vAUaysZ3gb/DlKItCKW4YdkE/AZ4GDhZVceTbefUJLgJYNu2bYmT1lUomSRfLXLPJ/qePUYBUifrfP454vaS385UQCo0NTgbhTe2ncpKtnOERIGnErf7urgHVLlFvnlp22zdFHd65ZT2eOF5i2KzFXQstVNsYueZmz4yxCSfabLluwveqqrghcDfi8h7McPzZ1HVU3I5YCki7yuBblW9ugTnqji8RPDVIvhUeEmdeKlv4hZ3fH57EmYH3rhLt2Zf+e94FO4WuNdUibvCY2MkOOf1TS1ws82OgeCslONTEeWStbdvEgb3VHHx53fLPL7NmWS+QEjV3ztnSiHvbcBFIhL/PXWjqh4swfkrnkq5qZpN9O0meKRzVuCx6Pt4WVaTPjnSG5gVeKyyoLuS4AZfy5yIe05hKWebl5+0BnYdglOD3E1s6PqVkCJlEk9twxIa204lsuR4/ju3/HZqYvvv6RtKiFJPaa+fFVm6PHMxhZ3P83M/t3jSR+THP7yypX7lBhraFicsD40lnqeSUdUHRKQdeAlmWPwB4J58cuCluGF5PWZIqsUD1TRPZ6a5IZNJnNmug+afvTM6xgZfi3OTMjqb4wZmc9xuZgWWhcBj0gbyFrfXOjTpovBUEiuGtPP9MEp3zFwlvhARkfMx9byfAPqBNwL/JSKvd6ofZo1neYvIKZgi4j73clW9J5cTW9JTbRKfOrQn5Yw1MYkPdU4eH3ATJ/FY1O2uwZ0s5TRHRh4EnizavnB5OKEbYC6Sy5QSSyXwk5qhs7sPXyTMCY1+iEZRVaLh1fhqapgeHqB+cgTVKBqNsuugWb95+xn4/TV0H+yk7+iR2fXRqPl9xsWXsWVZ6QpB5SrxBcq/A29T1R/HFojIXwH/CZyeywE9yVtEvgD8DRDfvUAxxV4sRaJaJB6LwtNJHMzNzGQSb9tQPzvvZHy6JB6vAi9FmiQVMzMzjIwMIyPDDA8Pc7S3jw3P20Z9YxNPPnuIli5THcKttoaOE9i0rI0jQ90cPnoIn/gQnyA+Hz7xodGomYfFwe+vobmpDp/Ph8/nY1OHSS+oKv+/vfOOjuws8/TzVkmlrCpJpRxboVtSR3WOzgF7DbbxGJaFGZZsWHaXYWCXhUM4Js0MM5z1wDAszC4wM4ANhjE0NrZpp3a7292t7rbd6qwcWjm0QinXt3/cqrKkLqVSRfX3nKNTpVs3vBXu7773C+9PRALyvrwRziIuIncD38dIPJ/GGO0WimDWcn1f7e8wRuH5xFIz7w8ClTPHbGuCy2oX8YSiYk/W7a25ZC6LCbhbtJtnZNuwfOF2mGM9fQEzm0zc8Y2NjXHNJdBZWdlYrVZaWlo4dOjtnEZEsFqtTE6MExufQEVJMXVJNkwWCyImitOSXUJt3NTmlawlr8R780xZegpl6dtg+7brXlNKcfLkCaanp9m9e8+i783fBELE43NLSLCnXbd88to1L2vPRkRSgF8CH8awQPsR8HWMEh3B5iTGUOjHZiz7AIYFm08sVbxrgUwMFwpNCIlUEXd3as5m9rDChZpLvLGQgE+D37JtpRTKnsfI6CgJcXEMDg/zp6MvMDAwwNjY29/Dnj17sVqtpKamsnXrNqxWGzabjeTkZEwuYb7S3Y8lNo6KgqXNZVhOrEaFOicXLpynsLCQ7OycZb1Pf7EUEQ8S7wJOK6WeAhCRv8bIvkMh3p/AqOf9GQzf+3wMN5/7fd3hUsX7UeBVEfkTc6a136hDAENNpIm4G+8ibgw3XKy5xBvzCTiwIuGemJigvf0qra2ttLe1MjQywtYN69mzdQvOuGSmp53k5xdgsxkCbbXaSExMBCAhIYHNm703Y+YnxVLT2IJjaIjJiXGUcuJ0KpRzGqfTSZIlGqfTidM5zfS0k8YZz52udYzn1y83mUzs2bOXpKQWjhw5wgMPPEh09PJqy/iThUQ8SMw1Gq4BMkUkcb75JoFCKVUnIhuBnRj1vLuBo8Go5/0d4E8Y5Vydvh5M439Wi4i7m1iWU8LAjTcBX65oK6UYHXUQH5+AUoonn/wV4+PjREdHk5eVyZbKCnKzMgCwWCzcd987F9nXKAMDAwwM9Lsejb/x8eu/J7PZ7Gq3NjNoNh7NZpNnmclkwmw2ER1tcS03e9q53duazSba2to4duwY+/bt58UXD3HqVHVImk/mEkARX8yAOBnDcAEApdS4a8hyMhAU8RaRzyml/s5LXe8iYEcw6nnnAtuVUqO+HEQTeCJZxL2N6V4ucwUcWFS4HQ4HV6+20dZm/MXFxfLggw8hIuzatZuEhAQyMjJJnDEUd+bFRSmFw+G4TqAHBvqZmHh7G4vFgs2WQmFhoSdTt9lSiIuL8zSn+IP+/n5+//unqK+vpaKiksuXL7Fp02bi4683MwgFvnQOj5pjvF7QR81jAAsaEGO45HiMhkXEgqF5wbwVKHc9+r2u93Iy7y+LyLdD1FOrWSKRKuJL6aRcjLniMFe4p6enMZuN4RrV1Sc5e/YtAGJjY8nLyyU3N88zUqOkpNSznZpSDI2M0H/tGp2DjlkZ9eTk27XGY2JisNlSWLOm2CPQNpuNuLi4oIz+SElJoapqK6dOVXPgwE2Ul1eEjXCHiIsY7d5uKoArwUxClVIfdT3OquvtGnrdr5Rq93XfSxXvLwAJwP8UkQmMIYICOJVSCb4eXBM4IsWIwi3iKxVuN26xdj8ODg7S1tZKW1sb7e3t3H//AyQnJ5OdnY3FYiEnJ5e0tLTrxHV4eJj29qtcvXqVjvarOEbfPt/j4uKw2WyUlpbNyKRtxMbGsRjzfSf+ev8bNmykqamJEydO8OCD7wagr6+P1NSQGgGHiqeA74jIAYz27m9hFIgKOiJyC8bIl/XAI7imy4vIp5VS/+bLPpcq3l/CGJM4k0RmD3vxGyYVMXWpwhpfBHypU+RXgrdZiv6szlyWnkJPTw8vv/wSQ0NG/3piYhKlpSW4NTo3N4/c3DzPNuPj4x6xbm+/yuCgsV1sbCzZ2TkUZKSRkJaB1WojNnaeu5sVXCyX+z3NJ/Ymk4kDBw7wu989xbFjR8nNzePo0SPce+99ZGb6sY5sBKCU6nVZMP4LkI7hfPztEIXzDxiTdPpE5FPATRgTHn8DBFS8PwHYlVJfcY2dfBT4CPATXw66FIKdNfor89EsfQq5vz5zpRQ9PT3U1l7Bbk+nrKyMxMREbDYrlZXryc3NJTk5eVZ2PTU1RWdnh0ese3t7AYiKiiYrK4vy8gqys3NISUlBRGb/HsPgjsbb+eH+PG22t5tP8vPzSUxM5MiRV7n//geIioosz/H63gH61fV1YIYGl+blopQ6CBz0c1i+sAY4KCJVwJhS6i0RicGoc+ITS/0mDwB/EJFtwC7gdWCbUuqCrwcONxY6GSIZX9rAl5t9B1us3QwPD1FXV0ddXS3Xrl3DbDZ7suLY2FjuuOMuz7pOp5Pu7i6PWHd1dXmG16WnZ1BVtZXs7BzS09P92okYKtzNJydPnmDPnn28/PKLnDlzmh07doY6tBuVExhJ7w7gKRGJB/4SOO/rDpck3q5U/3aM247LwP1KqVXvSTpX8CJZzJcr4m5BXkzElyLc/vzcZnY6Hj78Cp2dnWRlZbFhwyaKioqwWCyAkY0PDPR7xLqjo8PTuZiamkZl5Xqys3PIzMwM6VjoQGE0n9zkGn1Sx9q16zh3roaioiLS031O9jS+80GM2Z1XgW8AdwLvwGVA4wsLireIXMDonHQTDZQA9SIyAr4XEo9E/NUuGUr8JeLBzLadTift7Vepra2ltbWFhx56mNjYWHbu3E1MTAxJScasvenpaZqbm2hoaKC9/Sqjrk7GpKRkiotLyMnJISsr25Odz0ckdPR6Y259cZvNRlXVVqqrT7Jv3356enpmzQjVBA+lVCswc8TJ77i+H3FZLJZ5P7KSnd/o+CoCwRB9X0V8uftfCSMjI5w/f466ujpGRx1YLBaKi4txukwd7HY7Sik6Otqpq6ujsbGBiYkJYmJiyM3NIzs7h5ycbBITvU/JjlSRXgj3e3J//uvXb6CpqZHq6pPcf/+DJCRE1uCwhv4RerFct3wkwup5B909Xin1ii871ayMuSdgIAnEuPCVxO1wOJicnMRqteJ0TnP+/Dny8vIpKSklPz8fs9mMUoq+vl7q6upoaKhnZGSEqKgoCgoKKSkpIScn19NuHT89FhYdjMFm5vd5595dPHHwGU4eO8KBW+/g4sULZGZmYrenhzDCG47Ic48PBL6IQyRmWTNjDrSQ+0PEfY1xamqK5uYmamtruXq1jfz8Am6//Q6SkpJ53/ve72nHHhoaor6+jvr6OgYGBhARcnPz2L59B/n5BVhNrm4YNbFUq8gbghSrlV1Vmzl66gyFl89zruYstZctvOc/3OPpP4DwbOZbRUSme/xycYroH9IcgiXkvoj4SuI5ffoU58+fY3JykoSEBDZu3DRrdqPTaVTJq6+vo6urC4CMjEz27NlLRX42cZ72a63WC7G5opz65haOnX6DAzu2c+i1o1S/VcOuqs2edQI9gegGJ/Lc48OFSJlxuBSC0ayyVBFfbgxKKTo7O8jIyMRkMhETE0NhYRGlpaVkZWUjIkxOTlJXV0d9fS1tbW0opbDZbOyu2kzZmiKSXdX7NEvHZDJx2949PPGHZ6htamZd8RpO1ZyjuCCf9LSFZ18u9BvQwr5kItI9HgAReRX4vFLq9WAdc7UTjGx8PhFf7vGcTicNDfXU1NTQ19fLLbfcypo1xaxfv8HzemtrC/X19TQ3NzE1NUVifDxVlRWUFRdhTwmM482NRIo1mV1bNnP01Glu3r2TlvYOXjz6Ou+57x6fa6/4++I+l8v9Y8Q7rz/G2LDPlVRDReS5x7tsiB4E9gf6WIuxmrLvucwdJuZvfN339LTR6Xj+/DkcDgdWq419+/aTn1+AUoru7m7q6mppaGhgfHyMGIuFdcVFrF1TRHZGRlDtvG4ENleso765mddPv8HNu3aQEB/Yolmraa7ESnC5x8cBdwBZwBNArFKqy9d9BiPz3u86TlCLn99ohNtJMTk5SXR0NCaTiStXrmC1Wtm7dz95eXlMTU1SW3uFS5cu0tfXh9lspqCggOLiUnJzczGbzav2IhtqTCYTt+/bw+MHn+FyQyP33nozMHvyUyC5Ub9XEbkVeBJ4C6MJ5QiGwc37lVLP+bLPgIu3UurLACKyUN1djY+Em2h3d3dRU1NDe3s7Dz/8HqKjo7nvvndisVjo7e3l2LGj1NXVMTU1SWpqKnv37qO4uJjo6NljeWe+rxv1hA8UtuRkdldt5rXq01yub2BoxEFDSwvvvuduzKugNMBSEJFXMEp9uPmFUurDYtyG/D1G7aYR4FGl1A/9cMjHgA8rpX4nIqNKqQsu9/jHMCoNLpuw6bAUkY/jmiqam7s0fz9fWE1NJ+Ei3E6nk5aWZmpqaujq6sRisbB27TqcTidTU1M0NTVx6dIFuru7MZvNrFlTTHl5OXZ7+pJu2bWQ+59N5euob2rh1ZOn2LttC129fZypOc/2TRtCHdos6nqniZm4fiTRpGPFo4uKAasXG7IPYzRtVAKpwEsiclwpdWbuDpZJPuDOsN2z1g9jWKL5RNiIt8u+6EcAmzZt0jVhFyBcRNtNX18fL774AomJiezcuYu1a9cyMuLgjTfOUFt7hYmJCaxWKzt37qK0tIyYmBifjxUpZhPhjslk4rZ9u3ni4DPUN7dSUljAybfOsqYgjzSbLdThBRQRiQWm5vGP/ADwt0qpNqBNRH4JvJfZXpi+cAj4ooh8dcayDwHHfN1h2Ii3ZnHCRbQdDgcXLpzH6XSyY8dO7HY7d931DjIyMmhtbeHQoUN0dLRjMpkoLCykvLyCzMwsv3aM6Wx85RjNJ1s4Un2KAzu309bRyYuvvc5D99y1KiorLkARYBGR067nrwCfVEp1cL1p8TmMTHylfAL4GYY1W4yItAONwPt83aEW7wggXES7t7eX8+fPUV9fh9PppLi4GKUUw8PDdHS0c/jwy4yNjZGYmMi2bdspK1tLXNzi7jIrJZBCHimzeX1tDtxUsY665maOn3mTPVu3cOTkKbp6+8hKtwcgyrAhBaMU638HWjGMEv4Vo9JfMnBtxrpDrmUrQinVB7xTRDIwmkq6lFJNi2y2IDeMeEdqdhYuwn3uXA0nThwnKiqKtWvXUVFRyeDgIIcOPU9raysiQl5ePuXl5bNqiwSbcPi8QhWDL01KImJM3jn4NA0trbz/gXeRlBg+xauauiHKi83StFEwckH3eBH5IkYtkbn8TCl154z1Pgd0uobyzTItBuLxg2GxiCRglIXNwXDQ8dyJKqW+6Ms+gybeSqmiYB1rLlq4l8/w8DCXL18iNzeXzMws8vLyUUqRl5dPY2MDzz//LCMjI8TFxbNlSxVlZWtJDPLMx3DIssMJXz8PW3ISu11Zd2tHBxWlJTS3XSUvOyvcm08WdI9XSn0Lw7dyFiJyr4jcoZQ65FoUDUwBEximxRuAK67XKoE3/RDrbwALcMoP+wJuoMw70giFkCilaG9v58KF87S0NKOUIioqCrs9nf7+fjo7O6iuPolSipycHHbu3E1BQQEmk2lVVO+L1Iu8P9hUvo66pmaOnDxFdFQ0zx1+lb3btlK1viLUoQWCVOBrInIfhjnC3wBPKqWmReTnwOdcQwnLgPcD+/xwzF1AtlLKbz8yLd5hSKgywGef/SMdHe3ExMSwfv0G0tMzaG9v4/HHf8HExATxcbFsqSynsqwMW7KrRrau4LcqEBHX5J2nOX/lCmvy8jj+xpusyc/FlrziJt+wQin1byKyDmOongDPA592vfxjYCPQhNGE8hml1BWvO1oeL2KMWvmZH/YFaPEOO4Ip3P39fdTW1rJt23ZMJpOnZvbExISrDslZzGYzxQX5lBeviYTbaM0KsCYlsaeqildPVrN321audnXxwmvHeNedtxMdIuPi9s4oJO76Y6vxlcXjmjz4ZS/Lp4H/4vrzJ08CPxeRvwdmuScHxIxhNXAj3wp7w+l00tTUxIUL5+ns7MBsNpOfn8/g4BB1dVfo6OgAICsrm+0bKikpKMBiWX0ejxrvbCxfS11zM9VvnWVX1WZePVHNH154iQfuukPXmVkZ/xv4LHAccPpjh6tOvMNVrMOhM2xwcJA//vFpHA4HiYmJlJWtZWJigueff47p6WmSk5PZunUbxcUlHl9IS5h+nprAYIw+2c3jB5+mqbWNe265CadSWrhXzjjwE6XUtUXXXCIRLd7hKtRuQi3Y7trZDofDI8h2ux0RobOziytXLmOxWCgrK6O0tMzrdPVQvwfN8lnpeWFNSmLP1ipePVFNSWEBlWWGOcal+gbiYmIoyM3xR5g3Gv8M/EZEHgO6mGHsrpQ64csOI0a8w12o3YSD2F27NkBjY6PHLiwpKQmHw0FdXS19fX2ICPn5+ZSUlHl8ITWrh7m/QV/OnY3r1npqn5hMJsqKCnnrwkW6+/q5aed2NqxbniG1r2R1DBEVc/3vc3pymPqgROA33M7x/zBnucKos7JswlK8TUrdMGJ9pXv+8f9l6UszIFDKuIiLCGfOnOaNN4zZvcnJyaSkpNDf38/Jkyew2+3s2rWH4uJiYmNDf5HRBAdvv9HFzi8R4c4De3nu8BFeeO0YDS2t3H3Tfg6fqOaV4ycZGBpi79Yq3YG9RJRSa/y9z7AU73AnkII933pzhdztoN7Y2EhTUyMHDtxMdHQ0Y2PjJCUlMzQ0yODgIPHxCWzatJmSklJsq7zgkGbpLGU2ZkJ8PA/cdQdvXrjI62fepL2rm5t37SQ5MZE3z19kcGiYd9x8QAv4AojI95RS/1VE/okZTSUzUUp9ypd9r2rxDocmDG8sNaP2xvj4OG+99SZNTY0MDQ0BEB8fzwsvHGJ01JhHnJKSwsaNm8jLyycjI0OfXBrAt+YTk8lE1fpKCnKy+dORYzz7ymEqSkvYs7WKyakp/dtanE7XYwfziLevrBrxDlehXilKKbq6upiamiQ3N4+xMaOiX1RUNCKCUoqJiQmys3PIy8snLy8v6NPUNeGHv5sd01JSePjeuznx5lnOnDtPYkI8d+zbA0BHdw9RZjP2VO0z6oUvuWqsuJk5IsAt5t7qryxKxIp3uIv1Sk4ep9NJe1c3dU3N1DW34BgdJS42ltiYGPqvGSONEuLjWLemkMLcHHKyMoma2ekYIf0FmsjCbDazZ+sWivJyOfTaUf79uUNsriinraOTa0ND3HXTfory/GukYh44hznaSzIyNerX4wSQctfjJzHqpDyKMSW/EPgi8KyvO45Y8XaLY7iL+FJxOp2eW9DnDh+hvrll1rC9sfFx0lJsVJaVUJSXizUpSY+91YSE7Ix03nvfvRw9dYY3L1zElpxEQnw8z7z0Cgd2bGNj+ToARpove7YZbfbHDPPIw132VUQ+ApQopdyzK6+KyJ8DF4B/9GXfESvebrxluOEg6It1CDmdTnr6+2nr6KKto4OrnV2Ul5bQ2d1NV28fAHExMRTl5VKYl0tedhaWaD3TURMeWKKjuWX3TrJj4LVLjYxNTJIYbeLwiWpaq4+wwexABBzNdZ5tRhpbQhhxyJnG8Kqc6ZyzjhVUBop48fbGXMEMpJgvtXnE6XTiVIoos5mmtjaefeUIU1NTs9Y5e/ESWel2dlVtpjA3B3tKis6uNWGDO5OemUUntNZzixLeNMVzdTIGy/QEA+PjdJ95GQH6698uxt3aFX7Jh4i8CnxeKfW66/95DYhFZA2GacM2DBf4/6yUurDEQ30ZeEZEfg00AwXAQ8Bf+Rr7qhJvf4i0vzp6nE4nvf0DtHV20tx2lfaubjLsaUxOTtHd1+dZLy3FRl5WFtkZ6eRmZhIb67u/o0YTSBIK1noe3UIeV1DGaPMVDgDNwxNUdzkZMCfTX7EV+/gA9mKYrjem06QUu8R8YOnHHB24iDnq+vPaOT2xovciIncDDwL757y0kAHxv2BYpt2LYWv2S2DLUo6nlPqxiLgrC+YBbcDNSqkaX99DWIq3UyQssuXl4HQ6GZ+YIDYmhr6BAX7zx+eZnJNZd3b3kJWRzvZNG8jJyCAz3a6bQjQRiVvIZz63A2sdDl587XUuIsRYLIhycuc9/4n4/quAYaHOX3wm+AFfz34M/Rues9yrAbGI9AJVE/TfBQAACbpJREFUwB1KqXFXdcAviUi5UuriUg6olKrDizmEr4SleFssFgoK8kIdxoIYdUM6aWho4NKlS7S1tRETE4OIMDxs/B6io6Nd09BLKCgoIDs7W09F16xq7MCHKjdSXV3Nc88ZBc+eeeMSDz/8MOvWGR2Z4SDerpKwiMhcJ575DIg3AxfcjvNKKaeIXARKMdx3gk5QxNt1i/J9DP+2p4GPKKWGgnFsX1FK4XA4GBwc5Nq1a/T19TE4OEhlZSXDw8O89NJL9PT0zNrGYrFQUlJCfn4+hYWFniJQGs2NhIiwY8cOiouLefLJJ+no6ODxxx/ntttuY//+ua0UCzI6OTnstdlkcnIIIBDjBeczIJ67fOZrISHg4i0iKRhtQx/GaC/6EfB1IKSX34mJCXp6eujq6qK3t9cjzsXFxa4iTnX0918/jf348eOe58nJyRQVFVFaWkpBQQFWqzWYb0GjCWvS0tL42Mc+xiuvvMLhw4d5+eWXSU9PX84u/qqv8+SDttSNREXHexZOTTkY6D0L8PoKDIg/Ms8x5zMgnrt85mshIRiZ97uA00qppwBE5K8xsu95xdvpdDIwMMDIyAiTk5NMTU0xOTnJ9PQ0CQkJREVFMTIyQk9PD1NTU0xPT3se7XY70dHRDAwM0NXV5XltZGQEh8OBzWZjbGyMgYGB60Z7ALS2thIXF4fFYiE1NZXExERPgafU1FSSkpJITEzEarXq4k4azSKYTCZuvfVW1q1bx29/+1ueeOKJJW+rlGqwZ+5ioO8sKfYtmM0xTE+PM9BbgzWlkp7O498EvrnA9l4NiBdhPgPiS0CFiJhcTSYmjKF+by1z/34jGOI9tw2pBsgUkUSl1NzOAgA6Ojp47LHH/B6I2WwmMTGR9PR0srKycDqdpKSkkJaWRnp6OklJSZ6Lg0aj8R85OTk88sgjHD58eFnb9XQel7SMbWqg9y1sqRsZ6KshyVpKT+fxQLVHejUgVkrVishl4LMi8o/A/wBqXB2bISEYKpWMYeYJgKundsq13Kt4W61Wbr31Vnp6ejCbzURFRXke7XY7iYmJTE5OMjQ0RFRUFNHR0URFRREVFUVycjIxMTEopVBKER0djcViISZGD8HTaEJJVFQUt91227K36+06JSn2Taqn83WsKRX0dZ8OZEfSQgbEf4ExzvvrwEngzwMYx6KIuxZ0wA4g8h1gQin1Jdf/FgxLoHil1OiM9T4OfNz17waMDD2csQM9i64VeiIhTh2j/4iEONcppZKWu9FCd+s3IsHIvC9itHu7qQCuzBRuAFdHw48ARKRaKbU9CLH5TCTECJERp47Rf0RCnHM6GZeMFu7ZBKMY71PAARE54Bp58i3gF0E4rkaj0axaAi7eSqle4IMYU0tbMMw3vx3o42o0Gs1qJijDKpRSB4GDy9jkR4uvEnIiIUaIjDh1jP4jEuKMhBjDnoB3WGo0Go3G/2gDOo1Go4lAwkq8RaRYRF4WkREROS8it4Q6prmIyOdFpFVEhl2xli++VfAQkVdFZLfruYjId0XkmohcFZFHQh0fXBdjvIj8VEQGRaRDRB4TkbAotTgzzjnLvykiPttX+ZO5MYrIB0Sk0fWd/7uI2EIZn5s533m6iDzlirHb9Z3rim3LJKzEG/gV8CKQAfwNxmynsEFEdgGfBQ4AacBx4AchDcqFiNwtIj9kdn3imbWJ7wa+ISJVoYgP5o3xCxg+f5UYtZF3Ap8KQXge5onT/VoVKyig7y+8xSgiW4DvAu/DqBltwZgJGDLm+SwfxZgAk4Xxnd+OMZNRswzCRrxFZCvGBIOvK6VGlFI/A94TZlfkaQzHZ3dHrxnom3/1oOKtPrGnNrFS6ixGgbD3hiI4F95ivBP4jlKqVSnVAfxfjJM5lHit9ey6I/gx4dHh5i3GDwM/VEodc1Xt/BDGKK9Q4i3OKQztMWG4qYfTeRQxhFMRj20YxWB+JiL3Ag3Ap5RSPnu8+RulVLWI/B5wO6uOskQnjUAzT33i+WoTh4R5Yvwohi2Um+0Y7tohY4Faz/8LeAHDNHbt3O2CyTwxbsNwfjmNYbN1EPh0CMLzME+cjwKneVvQX8AoVqdZBmGTeWNk3bcDz2EYbvwEeEpEwqZ0n4jcjmGdtBVIAn5KmDXtzGG+2sRhg1LqnFJqSEQSROR7wLsxmszCChHZgHHX8rUQh7IQduDPgPdgXFwK8F4SNdR8F6PJ0YbRZFZIiJvKIpFwEm+As0qpnyulRpVSPwCiMcouhgsPAP+qlDrjmqr7BWC7iKSGOK75mK82cVghIrdhZLPFwFalVEOIQ5qFq/zn/wM+PbesQxjyf5RStUqpPgyRXH4lqMDzAPA1pdQ1pdQl4HsYfTKaZRBOzSaNGGINeFycTQTGLcNXHBjtc26mMNrBwynGmcxXmzhscLksPQ48opRaerHn4JKE4V/4R5czkhkwiUiHUiorpJHNppEZ5xDhd/64ccz5fxLDqV2zDMIp834WyBGRj4pIHEZbXRNvC0848AfgAyKy1RXj14Bnwzgbc9cmTnWNlHk/8OsQxzSXrwJ/GcbCjStDjFZKxSqlYoGPAX8KM+EG4yL4KREpd90NfhYIx8/1IPBVEbGJSCHwSeA3IY4p4ggb8VZK9QN3AZ8AOjFurf5MhdEUUKXUqxidVr8COjDa6+azUwoHfgy8gXERfJLZtYnDhU3AP4vI1Iy/F0IdVITyU+CfMDoAz2PUnP5+KAOah89i9L/UAUeAXyqlngxtSJGHnh6v0Wg0EUjYZN4ajUajWTpavDUajSYC0eKt0Wg0EYgWb41Go4lAtHhrNBpNBKLFW6PRaCIQLd6agCAit4jIxVDHodGsVrR4ayKKMCsRrNGEDC3emkBiEpEfuJyRGkRkr4hEich3RKRdRNpE5CuuOja4HGBmusI0ishuESlyuex8A+gO2bvRaMIILd6aQFKGUSzJDvwCozzp54FdGHXQ9wEPYdT0XowMjEJqOYEIVKOJNLR4awLJIIZLzijwDFAEfBCjHGinUqoR+FsMAV8KjyqlxgIRqEYTaYRTSVjN6qNjRmGxaYzfWy5QO2Odboys2hszk4sJpdTcUqIazQ2Lzrw1gcRb1bNuDHNcN+6mFQAnrt+kq2MyLZDBaTSRjBZvTbD5NfAVEUkTkTXAf+Ntk9xWDA9LgP+I4fyj0Wi8oMVbE2y+gmEwfAXDx/CXSqmnXK99Dvi4iJwFbgFqQhKhRhMB6HreGo1GE4HozFuj0WgiEC3eGo1GE4Fo8dZoNJoIRIu3RqPRRCBavDUajSYC0eKt0Wg0EYgWb41Go4lAtHhrNBpNBKLFW6PRaCKQ/w/c5uNTqpkSkAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,4))\n", + "\n", + "levels = numpy.arange(-.75,.751,0.05)\n", + "ax1 = fig.add_subplot(211)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " t_diffs_latlon_mean.T, \\\n", + " cmap=cmocean.cm.balance, \\\n", + " levels=levels, \\\n", + " extend='both')\n", + "# contour_lines1 = ax1.contour(xx_geopot-4, gg/9.81/1000., \\\n", + "# xkzh3d_400_latlon_mean.T, \\\n", + "# colors='0.1', linewidths=[0.5], \\\n", + "# levels=[1,5])\n", + "ax1.clabel(contour_lines1, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax1.set_ylim(0,3.25)\n", + "#ax.set_xlim(0,240)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([0,1,2,3])\n", + "\n", + "ax2 = fig.add_subplot(212)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-100,101,10)\n", + "contour_plot2 = ax2.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " ri3d_diffs_latlon_mean.T, \\\n", + " cmap=cmocean.cm.balance, \\\n", + " levels=levels, \\\n", + " extend='both')\n", + "# contour_lines2 = ax2.contour(xx_geopot-4, gg/9.81/1000., \\\n", + "# xkzm3d_400_latlon_mean.T, \\\n", + "# colors='0.1', linewidths=[0.5], \\\n", + "# levels=[1,5])\n", + "ax2.clabel(contour_lines3, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_xlabel('hour', fontsize=fontsize)\n", + "ax2.set_ylabel('km', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([0,1,2,3])\n", + "\n", + "ax1.text(s=r'(a) $\\Delta$ $\\theta$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s=r'(b) $\\Delta$ bulk Richardson number (Rig)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "\n", + "ax1.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax1.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax1 = fig.add_axes([ax1pos.x1+0.035, ax1pos.y0, 0.025, ax1pos.height])\n", + "cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "cbar_ax1.tick_params(labelsize=fontsize)\n", + "cbar1.set_label('$\\degree$C', fontsize=fontsize, labelpad=7)\n", + "cbar1.set_ticks([-.75,-.5,-.25,0,.25,.5,.75])\n", + "\n", + "cbar_ax2 = fig.add_axes([ax2pos.x1+0.035, ax2pos.y0, 0.025, ax2pos.height])\n", + "cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "cbar_ax2.tick_params(labelsize=fontsize)\n", + "cbar2.set_label('dimensionless', fontsize=fontsize, labelpad=7)\n", + "cbar2.set_ticks([i for i in range(-100,101,50)])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_theta_and_rig.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 515, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:17:18.358625Z", + "start_time": "2018-08-10T18:17:13.849157Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:37: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:45: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,4))\n", + "\n", + "levels = numpy.arange(0,401,25)\n", + "ax1 = fig.add_subplot(221)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "contour_lines1 = ax1.contour(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", + " colors='0.1', linewidths=[0.5], \\\n", + " levels=[1,5])\n", + "ax1.clabel(contour_lines1, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax1.set_ylim(0,3.25)\n", + "#ax.set_xlim(0,240)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([0,1,2,3])\n", + "\n", + "ax3 = fig.add_subplot(223)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot3 = ax3.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzm3d_400_latlon_mean.T, \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "contour_lines3 = ax3.contour(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzm3d_400_latlon_mean.T, \\\n", + " colors='0.1', linewidths=[0.5], \\\n", + " levels=[1,5])\n", + "ax3.clabel(contour_lines3, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([0,1,2,3])\n", + "ax1.text(s='(a) control K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax3.text(s='(c) control K$_{\\,m}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "\n", + "\n", + "levels = numpy.arange(0,501,20)\n", + "ax2 = fig.add_subplot(222)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " (xkzh3d_diffs_latlon_mean.T/xkzh3d_400_latlon_mean.T)*100., \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([0,1,2,3])\n", + "\n", + "ax4 = fig.add_subplot(224)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot4 = ax4.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " (xkzm3d_diffs_latlon_mean.T/xkzm3d_400_latlon_mean.T)*100., \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "ax4.set_ylim(0,3.25)\n", + "ax4.set_xlim(6,18)\n", + "ax4.set_xlabel('hour', fontsize=fontsize)\n", + "#ax4.set_ylabel('hPa', fontsize=fontsize)\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "ax4.set_yticks([0,1,2,3])\n", + "\n", + "ax2.text(s='(b) $\\Delta$ K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ K$_{\\,m}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax4.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax4.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "fig.tight_layout(h_pad=2, w_pad=8)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.025, ax3pos.y0, 0.0175, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.set_label('m$^{\\,2}$s$^{\\,-1}$', fontsize=fontsize, labelpad=7)\n", + "\n", + "ax2pos = ax2.get_position()\n", + "ax4pos = ax4.get_position()\n", + "cbar_ax4 = fig.add_axes([ax4pos.x1+0.025, ax4pos.y0, 0.0175, ax2pos.y1-ax4pos.y0])\n", + "cbar4 = fig.colorbar(contour_plot4, cax=cbar_ax4)\n", + "cbar_ax4.tick_params(labelsize=fontsize)\n", + "cbar4.set_label('% change', fontsize=fontsize, labelpad=7)\n", + "cbar4.set_ticks([i for i in range(0,501,100)])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_xkzm_xkzh_terms_background_and_percent_change_zcoords.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# figure 11 in manuscript" + ] + }, + { + "cell_type": "code", + "execution_count": 576, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-12T03:16:23.051111Z", + "start_time": "2018-08-12T03:16:19.219537Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:20: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "levels = numpy.arange(0,401,25)\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "contour_lines1 = ax1.contour(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", + " colors='0.1', linewidths=[0.5], \\\n", + " levels=[1,5])\n", + "clabel1 = ax1.clabel(contour_lines1, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([0,1,2,3])\n", + "\n", + "levels = numpy.arange(0,501,20)\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " (xkzh3d_diffs_latlon_mean.T/xkzh3d_400_latlon_mean.T)*100., \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([0,1,2,3])\n", + "ax2.set_ylabel('km', fontsize=fontsize)\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5', label='PBLH cont.')\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--', label='PBLH phys.')\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-.75,.751,0.05)\n", + "contour_plot3 = ax3.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " t_diffs_latlon_mean.T, \\\n", + " cmap=cmocean.cm.balance, \\\n", + " levels=levels, \\\n", + " extend='both')\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([0,1,2,3])\n", + "ax3.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax3.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax1.text(s=r'(a) control K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s=r'(b) $\\Delta$ K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s=r'(c) $\\Delta \\theta$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=1.5)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "cbar_ax1 = fig.add_axes([ax1pos.x1+0.04, ax1pos.y0, 0.035, ax1pos.height])\n", + "cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "cbar_ax1.tick_params(labelsize=fontsize)\n", + "cbar1.set_label('m$^{\\,2}$s$^{\\,-1}$', fontsize=fontsize, labelpad=7)\n", + "cbar1.set_ticks([i for i in range(0,401,100)])\n", + "\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax2 = fig.add_axes([ax2pos.x1+0.04, ax2pos.y0, 0.035, ax2pos.height])\n", + "cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "cbar_ax2.tick_params(labelsize=fontsize)\n", + "cbar2.set_label('% change', fontsize=fontsize, labelpad=7)\n", + "cbar2.set_ticks([i for i in range(0,501,100)])\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.04, ax3pos.y0, 0.035, ax3pos.height])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.set_label('$\\degree$C', fontsize=fontsize, labelpad=7)\n", + "cbar3.set_ticks([i for i in numpy.arange(-0.75,0.751,0.25)])\n", + "\n", + "handles, labels = ax2.get_legend_handles_labels()\n", + "legend = ax2.legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(0.05,0.9), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax2.transAxes, \\\n", + " loc='upper left', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_xkzh_terms_background_and_percent_change_AND_theta_zcoords.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 240, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:37: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:45: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,4))\n", + "\n", + "levels = numpy.arange(0,401,25)\n", + "ax1 = fig.add_subplot(221)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "contour_lines1 = ax1.contour(xx-4, pp/100., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", + " colors='0.1', linewidths=[0.5], \\\n", + " levels=[1,5])\n", + "ax1.clabel(contour_lines1, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax1.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "\n", + "ax3 = fig.add_subplot(223)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " xkzm3d_400_latlon_mean.T, \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "contour_lines3 = ax3.contour(xx-4, pp/100., \\\n", + " xkzm3d_400_latlon_mean.T, \\\n", + " colors='0.1', linewidths=[0.5], \\\n", + " levels=[1,5])\n", + "ax3.clabel(contour_lines3, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s='(a) control K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax3.text(s='(c) control K$_{\\,m}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "\n", + "\n", + "levels = numpy.arange(0,501,20)\n", + "ax2 = fig.add_subplot(222)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " (xkzh3d_diffs_latlon_mean.T/xkzh3d_400_latlon_mean.T)*100., \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "ax2.set_ylim(1013.25,700)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "ax4 = fig.add_subplot(224)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot4 = ax4.contourf(xx-4, pp/100., \\\n", + " (xkzm3d_diffs_latlon_mean.T/xkzm3d_400_latlon_mean.T)*100., \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "ax4.set_ylim(1013.25,700)\n", + "ax4.set_xlim(6,18)\n", + "ax4.set_xlabel('hour', fontsize=fontsize)\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "ax4.set_yticks([700,800,900,1000])\n", + "ax2.text(s='(b) $\\Delta$ K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ K$_{\\,m}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2, w_pad=8)\n", + "\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.025, ax3pos.y0, 0.0175, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.set_label('m$^{\\,2}$s$^{\\,-1}$', fontsize=fontsize, labelpad=7)\n", + "\n", + "\n", + "ax2pos = ax2.get_position()\n", + "ax4pos = ax4.get_position()\n", + "cbar_ax4 = fig.add_axes([ax4pos.x1+0.025, ax4pos.y0, 0.0175, ax2pos.y1-ax4pos.y0])\n", + "cbar4 = fig.colorbar(contour_plot4, cax=cbar_ax4)\n", + "cbar_ax4.tick_params(labelsize=fontsize)\n", + "cbar4.set_label('% change', fontsize=fontsize, labelpad=7)\n", + "cbar4.set_ticks([i for i in range(0,501,100)])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_xkzm_xkzh_terms_background_and_percent_change.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# draw PBLH and DELTA_YSU on these plots (must convert into height, not pressure)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "u winds" + ] + }, + { + "cell_type": "code", + "execution_count": 226, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.2,0.21,0.02)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " duadt_diffs_latlon_mean.T*3600., \\\n", + " cmap=cmocean.cm.curl, \\\n", + " levels=levels,\\\n", + " extend='both')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rublten_diffs_latlon_mean.T*3600., \\\n", + " cmap=cmocean.cm.curl, \\\n", + " levels=levels,\\\n", + " extend='both')\n", + "ax2.set_ylim(1013.25,700)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rucuten_diffs_latlon_mean.T*3600.*1e10, \\\n", + " cmap=cmocean.cm.curl, \\\n", + " levels=levels, \\\n", + " extend='both')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s='(a) $\\Delta$ du/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ du/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ du/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot1, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.set_label('m s$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.2,-.1,0,.1,.2])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_duadt_day1.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 264, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.15,0.151,0.025)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dqdt_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rqvcuten_diffs_latlon_mean.T*1000.*86400., \\\n", + " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s='(a) $\\Delta$ dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ dq/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "# cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "# cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "# cbar_ax1.tick_params(labelsize=fontsize)\n", + "# #cbar1.add_lines(contour_line1)\n", + "# cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "# ax2pos = ax2.get_position()\n", + "# cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "# cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "# cbar_ax2.tick_params(labelsize=fontsize)\n", + "# cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar3.set_ticks([-.01,0,.01])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dqdt_day1.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 212, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.15,0.151,0.025)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dqdt_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,100)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([200,400,600,800,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,100)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([200,400,600,800,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rqvcuten_diffs_latlon_mean.T*1000.*86400., \\\n", + " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(1013.25,100)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([200,400,600,800,1000])\n", + "ax1.text(s='(a) $\\Delta$ dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ dq/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "# cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "# cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "# cbar_ax1.tick_params(labelsize=fontsize)\n", + "# #cbar1.add_lines(contour_line1)\n", + "# cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "# ax2pos = ax2.get_position()\n", + "# cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "# cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "# cbar_ax2.tick_params(labelsize=fontsize)\n", + "# cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar3.set_ticks([-.01,0,.01])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dqdt_day1_full_atmosphere.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 174, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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NvwQ0Lo0yPt3cf5Dg/RG8P0WTMlr3p2TyFKmPCv0U+BeBz4nIp4G7gIuALzvtbxeRm4AnAacAx6nq/SJyL/BWEbkSeAdwh3Oz00K+5B1287FYkiaJl4qF5TKnJWmqMeIvHOXHX4fEK29/usQrbGiew+3enHSlDSbH60q78dgv7U6E3WhbPl53vi+UJ1ujau9zyxMt0bh7zViReyN0X3SOPzqvRkvcnz6yNzZ7Tz9vYt4sIu8EPoupCHYTZu73VuApmB0ztgPnqqobjZ+GmQd+CfAD4FW9Hnc/6Mf+lO0uyHHxitmPf/l5sWReX62qON9SrdUbhaPMtYMj7DBRe4+5KyW9i26apL3UKu3QSDsib51K3C4eWRf86Q/3eON7XwYxLAoPOd6SXonpL0m+vNfSLgiM52u71r7S14U8qvpx4OMBh852vvzn3ws8o9vj6hV52zgYwpfBR8m7XJLIGSdJ8crXlTo0i91/HjRLPEzWQPMUwKUU6ZGspe3HH3G7bU2PU8i7S+K2EXb+sEvp+8AgiRuSRd5BEo+KwtPgT3+412tcJ0bW1GlKjZj2kJuRlflkqZGA46mk7Sco+obOou6ciNve3OweVuA9Jm/y7rTwVBxZbXKbJLKG5ZWRYcJ220KlHSXssAU3nYg7jCzTJW2IO8s545buYQXeIwZN3O2QVSrF2x/QNEMEiFzGHrTApiU1AoHSjpzW1w1Jh5FVuqSL4u6XqE0tlL5cOpckFriIPBlY72kax8zj3ivzUQ0ZeZJ3FpsrRJGFxP3i9gvbW3MkbEVkYJQNRtp+YSdJg/hz1IEDT75IJrwPj3SzSpdkIG4bWeeTRAIXkfcCbwAWAcHUMNkIXN69oQ0+gypu6Dx10g5B4vZKu6l+SICwzXm+KBsa0m4SdtRiGw/1JOLGM/WvE4m70s0qXdKhuLtSQ8X+IsiUpBH46cDTMWVf36KqrxKRdwD2fyOAQRY3dC7vtFF4EnFHChtCUyMt0q7MRUq5Or8r8bi9uD9IBWhP4u3IO2G6pJfitoLuLUkFPg38GtiCKSoFcBVmteTFXRjXwJIHebeb3+511J1U3P6aI6GpEactTNqunKtL3ctnl3AkDulF7l1E06V0SZi404jXSjo/JBX4tzHCfhtQFpEXAisxqRQLVtx+wqJw//S/uFWQsakRSCzt2tIctcX5hsBLY/7SOobieHB7HKWxCarzu9JH495aJRnNLslS3HkSdkGUsZLVjktSgb8Ks3R9DfAWzOKbInBOl8Y1UPRb3nkStxevxDsWd9xNyATSrs7PNtobY/FIvDQx3XLcf04aEkXjIamTlraEUXcScQ+atC3hJBK4qm7FCBzgAWDfbg1okBhUcUPv0iX++dtJxB04R7tNaQNU52epLs1TqVSpVOpUKs4vlbLA3BLlsqPZ3bOUy8s/Eq64q/OzDbkHURqboLbYKv3E0bi7YYMbfWdwk9Iv7l5L267a7A2RAheRw4GPYSoC3gac6alLMtIMqrx7nefOQtxRNyKr87tSSXtxsdb4HhyJO4yPF4HaclsCufspjk9QW2q+SVqamKJemWuNxoNSJx3epEwr7qTStkLOJ3ER+NXAtzBFpk4D/hl4brcHlWf6LW6XYlHakrgr1G6I3L9DO7SKO/FS9g7EHUS5LE3idttcxntVIckv79Jkq7wzSJdkIe48Stsu5GkmTuDHAM9T1YqI/DXw2x6MyZIQ7+rEtDL3yzaJ0IMEHTWmLMUNNFIlXnEDTfntpvGOTWB26qs6LXXMrRuzMMgrba/MG1E3hEbdbkrFbSuOT1Acm2xqK01MLVcY9IrbmzLpYcRto+3hI07gRVWtAKjqnIjYpfc5xStOlzRSTyLnJNcN2/S3Rdz+edspxA203JgMfV0NiYMRuSvxbKQNUBybbJI2OAt7Moy2wYrb0ooV8hDTqdST9ukvJtWWuH3tQakSSC5uL8sSdqNx89dGp9J225ukDUbKvtklTdF2B1UCs06T+Pu0DBaxEbiI/KfzvQBjnscAqOqLujIyS1dII/Wgc1280oZmcfsLSfVL3H78KZU4aXvbY8UdliKBYHGnLDSVVNzDLu1CQVhRDv9cjhpxAj/d9/gzLC/eEc/3I0NBarm5kZkVUaL2E1a6NfEWZH0QtxdvSqUdaZtzp0Kj7U6kDe2lSVKtouyyuLW0sqv9W5qJFLiqfgJARJ6JWTL/RM9zXIFf080BWvpPWLQNKfaO7FDccasn07As4nBpQwfRdsJ52xBfpyQLafv7bAcr5nySNAf+KeA64ELcW/iWocYvbQgXd9yqyTBxBy2+cR97xe3O5S6XC1Qqy/Ox214h6ctrQ3S0DcHiDo22E077a7QnXC1ppW3xk1TgewKXqOpi7JmWnhIk2qyJujEJPnH765P4hJ5E3G607YrbfK9UKjVnPre7wCZ9VF6amI6Nts15CdMkATNNXLKoAtjL9MggCLsgzbOH2kVETgI+DDwB+BJwhqrO+s45B7gAU/fpW8DrVPU3HV88Q5IK/BOYuidXZHlxEXkjZon+WuDfnGtUnOucAewGLlbVq5zzD8DsSn8M8BPgNap6V5Zjyiu9ELWf1HO4ncdZiTto9WS5LIyPFx2ZN0flUSL3Rt3tRNsQMJPEJ+2sCkj1cpHNIEg7a0RkLSajcDpwE2bB4iXAuZ5zjgD+GngRcCfwUeD9mLpQuSFuKf1dmDx3EXiSiLwLs5incfNSVQ9v58Ii8izgXcALnT5vAP4KeAQ4EbN8fx3wDRG5RVVvx+Tbb8K8qa/H/Ccc1c71O6HbNzL7IWsvsTNKILxOSYi4XTmnibi94l6quAuNClQqVScKKzaicqiGplf8UXcm0bZP2t2qPdKNm46jKG0fLwZ+qKo3AojIZZgo/FzPOc8BvqiqtzjnXEsOS2fHReBndfHaLwE+rap3AojIBzFv0Fbg/ar6MPCwiFwHnCwiM8DTgBNVdVFErgAuEJHDVPXuLo4zkE4k68o/D6Juacs4x+0Xt79WSTfw36T0R91ZiVsL45nNxYbuzhCx0m7iSOB2z+M7gD1FZEpV3R09PoopHYKIrAdOAb7b01EmIG4Wyk1dvPYYJkXiIsABmJyU9829ExORPxW4y83Dq2pdRO4GDgZ6LvBO6LW4g0TddNy3x2TbUbdP3HEzSvyY6Dl42btbmNXNf46PFxvfl8uFpsg7sbjblDbkZ3ZIbP9DJu5CQZoWYIWwQURu9Ty+WlWv9jxeBTzoPnACwqrTvstpqwCIyOswKZYFTLYgV/RzJebXgA+IyEcxb9qbMT+xq4AdnvNmnTZ/u/dYCyJyJnAmwKZNmzIdeF6JE3XL+b6d3E0fKaPumFolScTtpVwuOSmSAt5l7/76JeXy8g+yN/8dlS5pEXeC3LY3RTII87Ab1xkycadkq6oeG3F8O9DIsYnIGMaF2/wnqupHReRTwOuAG0Vkb1fueaBvAlfVL4rI04DvAEvAjZgIfBLPm+s83obvTfcdC+r/asxvTo45+uihW3CUVtaN54VIu+nfNioEhom7nTTJ8gpJs+y9UtEmcZt/k0fdQeLuJNrOo7Ab1+uSuLU4mCs3Q7gbkwd32Qzcp6qND6uIXAA8qKqfUtV5EflH4AOYgHGmp6ONoG8CF5EDgf9Q1Uucx6cDewP7AEdg9tsEczPzx8A9wGYRKTjpkwJwKGY2ytDTrrAhmbS9x5NG3XHiNpF0+x+x5ZRK3dNW8Bxblrc/6o4Udxel3Y8l6t2MtodM3C43ApeLyPGY/Pf7gE/7znkMOF9EvouZWPEW4Keqmht5Q39TKMcAF4vICZit2s4H3gA8CXi7iNzkfH8KcJyq3i8i9wJvFZErMdMP73Budg4dnQgbWvPaps8YabsERd0p0iXNGyksNboNKx4VRXNefLnNnzKJFDe0ytsRd1SKJO81s2203R6qOiMir8bMatsIfA64VEROA96jqgdjNrLZjLlxOeH8+7I+DTmUfgr8BszmED/D/IT+jap+XUS+CTwFc5NhO3CuZxeg0zDzwC8BfkDO5mR2QqfChmhpe78P3eEdMom63Tnci4vNeetKxTx2F+OY7+Ol7m/3Rt1J8txh4vZH23kXdmMMIyzugsBY/E3MWFT1C8AXfM3XOF+oahUTdb+l44t1kX7mwOuYhTvn+NprwNnOl/859wLP6MkAe0AW0ob04m6JtqEr4l7eAcc/68Y7h967kcRypB0k81RRd4y4B03a0B1xD4K0LeHYeuADjFfckDJVElXetQ1pAwHibiVsF5woshZ3ZDnWFLL2CtX/f5E1Vt6WIKzAAwhbZZnl/O0sbko2tYXIO62463NbQxfgxIkbouUdRtzGCitW79GRtCE4TZJU1knk2U2ZD4u8h60Mcx4YCYEr2Xx46lrs2+rJMCmkmg4IreKen2kr2oZmcUM6eXunAy63tc4s8Yp7bNUezondE3cWsnT7yELkeZd3r6UsBcmkmNWwMBICzxtpou8k4jZ9Nq+eNM9tnQ6oux8NTZMszc7EShtaxQ3J5B00l9v8m0DcKaQNycTd7cUuvUyxJKVdedvoOZ9YgeeUqDRJS3vYFmYx+e2FHY8ljrYhWNwQLG+3+JR/xkCQvIPEvWL1xtY0yco9Q6cAuuRB3EG0I/Osx9mOvK24840VeI+Jir6TRtvLfTXPNCksbQsX99xMaJpkYceWUGlDOnH7WarUKZebJeCuovSLe3xqfUt+W1buGTl3G3yy9s/l9so9J8vLk6RYrLwtSbACT0kv8+BB4vZLOzTi3v1o5GyShR1bQqf/QfNsEfd7v8jdaDpI5GPlAkuVeiMCd4tPTU6OdSTusO3Gkoo7jciymuYZRlhU3m9551nchYI0fTZHHSvwNvB/wNMI3f1h8sshbEpg43EX0yRBdbcrFW1snuAS9oMzHuOHNOIOS5X4V0qGpUj88uvkhp0Wx7su8ca1SitzkyfvJrXa0JUl6itW4BnQjtCj5BBUHdBtjxO3dxpgmgU3S5V6Uwql0tjtplXkSXCrBfpTJWPT65NNBZxYH7joJiqfPejzmvOQ4sk6+rbC7i5W4F3A+0OQROb+YlPtRtudinuhoizVYKwx/LpnM+FkIu9Y3CELb7Qw3hdZ9zIK7wZp3qes5G2l3TuswLtM0ujcvwNOWmlD8kU3YeJeqpqc9lIVlmrKWEVZURaWl7sXgFqLxMOkndWKSVfegx5h55lO5N1LYRcK2WxqPCxYgfcIV9z+/SbTpEfSzNv25rWzZnGx1rgp2bG4ITbq1uK4EUwbLyeLG86DGoV36xeejbDzgxV4lyhIrfFDH7lBcJvCnt8925Gsx8qFxgwRf/4b3Kl+5hw3deIXNsQsc59YHxhlA7GybkhCcWpcKcVi+sgrq/1HB03i3UqdWHnnCyvwjHCFHbQpcONxgo0S/DchF2cfb0TYc3NLDWHvnqs1pUAAVpSlaauxpGU3vTJ3CZN2aJQ9uaF1FonvRmRQSiRM1kHUau1JfNSw8h4drMDbICgdYh77ctjQshFCkul+3jnac3O1RoS9e67aEPauRWGpBos1WKgYqa0ow3hRgRpjRRgrVRkrNos9Supx0m65ETm5fjklMrEs8PrY2oaw62PrGkJJI+sw2pV4FvP3ByEKH/a0ScJNjUcGK/AYUkXWELtr+9LOLaELaryy9rPkv+HYkDcs1VyhmeeNF81xEKfN7a95ebtf2KZtWdrj0+sC65E0Ftk4AtfSJPXy6kYqpD6+riHraqUOjS1gjUBLpc5+AK3Eg+nmTV73/c6LyC0GK3CHrEXt5q4Xd800zQxpN3c9Vi4wtrrQyFevWqHsXFCWqsKS80Nlom71Rd3FxvOTRtiBsvakROqFcepja0JTIdWFOlCjUm19beWSUK3WW9q9JBG8Tac006683V9oSVMp3vfcyrz/jJTA/akPSCFqaGtWiDeqduU7O1d3ImQasoXWQk9B6Q5vvnpysvnmoyvsNLL25q/TyNqlVtNGKsQr5iB5u+3lUrR4q9V61yQ+jFF4FpF3QWqppxJamfefkRC4UKe09Fgmueo4WUPrXGswi2aWI2bBLSviTqk2i2fUiaDNc4LE7pX6mGeWCNAk7ImV05GyDrrZGCdrgFrVm5IhMJoOk7f3eJzEk2IlHl/woh2vAAAgAElEQVSWIQz/ys84fQd9HhrPtSmWvjASAqdeo1DZETl9D0i8JN2bBoHWrcSW64nUm9pdSZvcNJ42k/rwPnZTINAs7iBZJ4mu45aqe/PXQMu866AfzHbk7T0vSuJJo3B3bKMk8bCVu97vveUYEu88FLM/qBZXUIj65R4j72q1nvjzEYaIhG5+PYr07J0QkZuB81T1+yIiwBXAGcBu4GJVvco57wDMzvPHAD8BXqOqdznHXgVcCqwCrgXe5OweHX1trVCc/01bpVbTbCPmitu0Bed5/RJ3c9YQPA3Qu3w9yZS+wM0PIPVS9XYI+uGs1uqUisEithIPxi9oCN8qz5zv23UJlqeq4gkXyhPRF3bm6AehpUm0tmA+K/VFtDCOhIjcxRV2tVan5vxb7VDglma6LnAROQl4KfBsT/PpwInA4cA64Bsicouq3g5cA9wEvAh4PXAdcJSIHAL8A/AHwP3Av2N2tP9A7CDKU8h+v9c6Ns/3BUblzxGDvf2XJVMZ97c+4/46x35e8kkvJlQ+G+PGXZ62U4H3q+rDqvpTjKRPFpH9gKdhIvKdmCh9fxE5DPgz4AZV/a6qbgH+HnhlD8ZvsVgsuaTrQaeqvhtARE70NB8J3O55fCcmIn8qcJeqLjrPrYvI3cDBznP+x/ecg7s4dIvFkjMKhWKjjIOlNxF4EKuAHZ7Hs06bvz3qmNtusVgsI0m/BL4d8P4anQS2BbRHHXPbAxGRM0XkVhG59bHHHstk0BaLxZIn+iXwu4EjPI8PB34M3ANsFpECgPPvoZjZKGHPCURVr1bVY1X12I0bN2Y8fIvFYuk//Zp4cS3wdhG5CXgScApwnKreLyL3Am8VkSuBdwB3qOrDIvIZzGyVf8JE4+8GPtyn8Vsslj4gxRKliel+DyM39CsC/yjwI+BB4HrgXFW9zzl2GvCnwOPAC4BXA6jqncAFwNeBn2FuaH6it8O2WCyW/NCzCFxV9/d8XwPOdr78590LPCOkj49i5J+K2267bZeI3JP2eT1gA7C134MIwI4rHXZc6Ti03wMYFkZl7co9qnpsvwfhR0RuteNKjh1XOvI8rn6PYViwldEtFsvAIM488KivRP2InCQi94nIbhH5rIi0JNZF5NUi8oCI7BKRm0Qkd385WIFbLJaRQkTWYlZ/nwfsi6kUcInvnCcBVwJvADYCXwY+09uRxjMqAr+63wMIwY4rHXZc6bDjCubFwA9V9UZV3QZcRmtZjucD31DV/1LVeeD/AU8VkXU9HmskI5EDV9V+f2ACseNKhx1XOuy4QvGX8rgD2FNEplTVrdl0I/AVzznHAHPAzt4MMRmjEoFbLJbRYYO7Ctv5OtN3vKksh1N7qYqnNIeqPqqqDwCIyMuALwDnJylf3UuGWuAicqCIfNO5UfEzETmh32MCEJHzROQh5+bIN51qi/0cz80i8rvO9yIifyciO0TkERE5KyfjmhSRfxWRnSLyWxH5oIiU+z0uX/vfiMiX+zEm5/pN4xKRU52bcDtE5D9EZE0exiYiG0XkRmdcjzn/l4n2c5NC0dS/j/gCtrqrsJ0vf8TfVJZDRMYw2Yim0hwiskFE/j/gg8AZqpq7hYNDLXDgs5gFP3sAf4tZAdpXROQZwFuB4zGFn28BPtKnsZwkIlcRXqv9JOC9IvK0HIzrfOAwZ1xHAb8DvDEH43KPPQ14Wy/H47l2y7hE5Cjg7zBlmPcFxjArm/s+NuBijET3wvxfvgCzGrtX+MtybAbuc3LdAIjISuDbwAxwmKp+vofjS8zQClxEjsYsZLhEVXer6ieAVyT9Td9Fapgtedz7D0XMqtN+kLhWew7G9ULgclV9SFV/C/wL5ge/3+PC+Uvgo/Tv5lzQuE4HrlLV76nqLPBazGYpeRhbFeOeAmYGSK9/Bm4EjheR450ZKe8DPu075xTgN6p6uicvnjuGVuCYmw73AZ8Qka0i8gNgyVkF2jdU9Vbg88C9wAImivy/fRrLu1X1LzBRhktQrfae1l0PGddfAF/1PD4WeCQH4wJ4J6bEww97OR6XkHEdAxRE5IcishXzF+ivczK2i4HnYaT+a+Bh4Es9HNMMpkTHNc71twCXishpInK/c9qRwHNFpOr7emKvxpmEYRb4BkyE9hVgE/Bx4EYRid65tcuIyAswW8wdDUwD/0oOUjsecll3XVXvVNVZEVkpIh8C/gQjpb4iIkdg/kK5qM9D8bMBeDnwCuAQYD+MOPPA32FSh2swabEnkjAdJoUixbHJyK8kqOoXVPUAVZ1S1deq6qKqXqOqBzvHz1HVgqqWfF8PtveSu8MwCxzgp6p6rarOq+pHgDL9r8PwEuCTqnq786fZ+cCxOZpfmqruei8RkecDdwEHAker6i/7PJ4C8DHgHG/+NEf8k6rer6qPY6T5/H4PyOElwEWqukNV7wE+hLnfYknJMM8DfwAjbMDMrsD8wur3D9ocJufnUsXkxfs9Lhf3Bo9bHTKy7nqvELM59meAs1T13/o9HodpzB6u/2U+XhQxaYvfqupefR2Z7/NPPj77LnO+xxVgdz8GMugMcwT+ZeAJIvIXIjKB2cH+QZbF1C++CJwqIkc747oI+HKOIji3Vvs6Z8bMKcDn+jwmgAuBt+RI3jgRZFlVV6jqCuB1wH/nQN5gftm9UUQOc/66eyuQl/fuC8CFIrLGySm/Abihz2MaSIZW4M4S2d8DXg88ivmz7eWqqn0e182Ym16fBX6LyQGe0c8x+Yiq1d5PjgT+2XdD6ev9HlSO+VfgH1mun/8D8rMBylsx91Z+jpmqd52qXp/kiVkVsxoWpM8+s1gslkSIyP5//Iwn/PIz57WsoWpi4uX//kNVPaZHw+orQxuBWywWy7BjBW6xWCwDyjDPQrFYLENGoViiNDHV72HkBhuBWywWy4BiBW6xWCwDihW4xWKxDCg2B26xWAaHQpFCOVm9k1HARuAWi8UyoFiBWywWy4BiBW6xWCwDysgJXET+UkROFpG7Q46/TkRO7eL19xeRhRTnny0i50f1ISIqIoEFlDyv920icr+z/597TETkf0Xk/c7jJzp7J844X58Xz36dznX29/X/GhH5Zsi1Q8fVDmnfuxT9PldE7mjzuV39vFgsUYyUwEVkFXAasDXitGuAc51KgXH9XSYidWlzU2IRWSUi/ykid4nZdDmoJvKLMdXb2uof83qvx2zMOg+82XPKqcDeLBf6/xxwG2YDjIOB/wW+KiJDfbNbVW9S1SPizwwk8efFkgFShPJk9NcIMVICx5T7vBFTf7skIh8WkcdF5DZnE1hUdRH4BmZPwVCcH9jTMDv9vDnm3NeJyKMiMoMpnenyAeBrqroZs5Hwv4hn53ARmQY2qeqdYX14IseHRGTPoNerqjVVrQJnAxeI2W17ArMX4FtUdZeITAJPBz6kqnOquk1V3wt8D/D3G0vQuETkBSLyExHZJSKfdUrWnuD8FfBBMTuU3y0iv5PgvWu3vz902naKyPVidrs/wfsXWVC/Tvulzl8mv3V+eReSfl4slm4wagJ/GWaXeoCDgF9iduy+AfiMmB1WcM7545i+TsX84F4I/LmYzVFbEJGDgcudax+E2SDB3WDiT4FPAqjqI8CtwB94nv77wFfC+nCe50aO+6rqoxGvF1X9Fiaavwh4O/Azt4ynqs5h9r+8QUT+TET2cdpPVtWHY96LFvzjEpF9MRvHnoV5z+eBK5xzno7ZF3ETpl7630L4e+cca6e//YFPYGqcPwFYB7zFO+6wfkXkBMxWeAdidlL/E8z/DyT7vFgsmTMyAnfk/HSMpMDsOH2FI67LgX0wP5wAPwGeFdPlm4CPqOpDmM12/yLkvJOB61X126q6neV0xXpgCvhvEfmRiPwIeA5m70KXP8JsgBzWR5rX63Ie8EqMuN7kO3YiZmPedwK/EpF7ReSsuGsBSWoSn4J5Dd91XsOFmBrtAI9hdpxfwAh3k9Me9brb6e+VwOdV9TZnO7uzMWmipOPcE3ghsBOzp6n7yzHJ58ViyZyREThGmAWWN+z9jXtAVSuYH/r1TtPjwEonh9yCmL0ZVVW/4zT9A3COiBQDTt8X+JXnsbuTuptXPl5Vj1LVo4Cvue1OX88Ebo7oIwr/6wUz6EcxaZ8vquq9ntckwBZVfYeqHgmsBf4a+Fsn+oTW7eBwHifZDuuJwJkisuDciLwbsyXZCuBxz0YbCyy/N1Gvu53+9gN+4Xkv7lLV/044zu8D52LSZY9idi5y/+qK/LxYMqRQhPJE9NcIMUoCd3+Ixfl3b/eAmJkZewK/dprqvn/9vBm40n2gqt/G3Bh9acC5j9IcVbvfz2Dk4j22L7DF+f444AdO7jqsjyj8r9fLblr3JTwJTzSqqjtV9VrMXxdPdZofxOxw7uVApz2OLcDfebYfWw08A/MehBH1utvpbwZPPl9EnhkwgySs30OBH6rqczARvQJvc54T93mxWLrCKAn8McwPtxs17S0ibxCRcUxa4VYnDw0mNzrv/JndhIgcgEl1XOs79CFMhObnBuBljizWABdAI+r/GvAap9/NmNzql53nvRiTPgntw0MN2BDzeuP4LrCXiJwvIhtFZEpEfh94nnMM4Drg/4nIk0Wk5PwlchZm/8UgvOO6AXiliGwWkZWYfPU7Y8YU9brb6e/fgVeIyFNEZD3w95iI3X/NoH6fjrnJvDdG3isw7zFEfF4slm4yMgJ3Itn/BZ7iNN0GHA9sx0TOZ3pOPwIz+yKIc4CVwD0i8pD7BVwKHCcix/qu+1NMpHY9cA/wFc/hNwG/IyL3Y3K156iqG83+PvBfCfoAI/rbRGRjxOuNRFV3YqLw4zFpg4cx4nqNqv7AOe0y51pfxUTxH8bsmXlzSLeNcTmv4XzndW7BpCreGDOm0NfdZn+3A/8X+BJwLyYt8rGAawb1ew3mfsIdmB3fH8P80oboz4vF0jVGak9MEXk7sFpV3x1z3qXAQ6p6ZdR5eSfp67V0xrB8XvKOiOz/0hOe/MvrL/vzyPOKv3uB3RNzSPln4A8lYmGKiJQx0e/Hezaq7hH7ei2dMWSfF8uAMVICd6aF/RNmOlkYpwBXOdMLB5qEr9fSGUPzebEMHn2LzETkXcC7fM1F4LWYRRbvcNquVNULneesAz4FPBeTh3y9MwMkMap6Vczxf03TX96Je72Wzhi2z4tlsOibwJ1l2u91H4vI0zE3lLZhbpYdj5nq9nURuV1Vb8TU89iCWXTzf4DrRWQ/VV3q9fgtFkvvkUIJGZ/u9zByQy5SKE6O9hOYlXEvx/xJepczI+MfMdO6xp1j71LV7ap6HWYmwPP7NW6LxWLpJ7kQOGYu8YNOrY4jgds9x+7EVMY7BNjlLF33H7NYLJaRo++zE5yaHW8DXuE0raJ5+fes0+Zv9x4L6vdMnLndK1euPOaQQ/wLCC0WSz+4/fbbt6rqxvgzLXH0XeDAH2JqcLiLRbYD3oIGk5i8uL/de6wFVb0auBrg6KOP1m9/+ztBp1kslh6zcuVkktILwRSKUOq85reY2vsfxkyY+BJwhqrOhpx7M3Ceqn6/4wtnTB5SKK/FbCTgcjdmZZvL4cCPMbNO1rq1mX3HLBaLJRFO6efrMCU09sXUC7ok4LyTROQq4Nm9HWFy+ipwpwLec4Cve5qvBd4oIvuIyKGY+iKfVtXdmKXZF4nIhIicgakSd0uvx22xWAaaF2MKk92oqu6st6C1Es/GZClyW+Om3ymUIzBpkZ+4Dar6ZRG5BvgpUAUuU9VvOof/ErMBwuOYSP3lqlrr6YgtFsug458ocQewp4hMeQuSuSUoROTEHo8vMX0VuFM4qCWhpaqXEPAnjVPL+vd6MDSLxTK4bBCRWz2Pr3buibmswlMCWVUXRaTqtOc22g6i3xG4xWLJOQXJ0R+57qbG0WxV1WMjjjdNiHD2AygRMiEiz1iBWywZUqtlW92zWAzaj8PSIXdj8uAum4H7VHW+T+NpGytwiyWGrKWcxbWt2DviRuByETkek/9+H2Yj64HDCtwysmQh5mo1m13USqV0E8Kixm7lHo2qzojIqzGbdGzETGO+VEROA96jqgOzutsK3DJytCPurESdtP+0Qvfivr4sRJ6r/Dcsb2rcIar6BeALvuZrnC//uft3fMEuYQVuGRmSijuprCvV+P7KpfYk6h1DuzKv1dRG40OOFbhlJAiSd9qoOomwO31OkPA7kbmV+HBjBW4ZajoRd5x8q7XofkrF9JGze82wyN0dexqRW4kPL1bglqHFL+84cXcq7LTnRwk+qcghmczbkXju8t9g5oFnUMxqWLACtwwdSaPuJOmNMAnXEjy3GJP/DuvbK/Y4kUNymdtIfPiwArcMFUmi7nYj7SBpu+cGRdNhkk8q9rQih/gUi5X4cGEFbhkKkkTdUeJuR9pxbWEpkqA+g6TeqcitxIcfK3DLwNNO1B2Vn04s7YDzSh6x+p8TlfP2XtMv83ZFPowS10IJtTnwBlbgloGl3ag7abSdVNpRx6OEDtGplyxEHiXxKHJ5A9PSghW4ZeDIWtwufmEWS8Xlazr9uU1RfUVF2nH577DnxqVMkkg6LOK2sh5crMAtA0G7NyfTTv0LI0ruUcTNBY8Sc7srMKNSI1bWw4UVuCW3ZJ3b7gZeQXcaJXcjJ22FPdxYgVtyRVi9Eq+8+y1tMOIulyRSyjYS7gYFtDDe70EkRkS+gqk3/iDgfnAFUFV9Tqf9W4Fb+k5UkSlX3HmQtotX3q6k44QstcXo49XdLW1aWtn+IN0+ioMjuyHl/2D2/D1RVaM/BG1gBW7pC3GVAYMi7naknXTOdRL84i5ILVDMQTJuOl5P9nMsS+a8diNOLa1sjK9Tkde1aP9qaANVrYvIK7ohb+izwEXkPMxO82uAW4GzgHuAK4AzgN3Axap6lXP+AZhd6Y/B/FZ7jare1YehW9ogbTnXKHEnWcoeOo6qppa4V97lUh2pLTZEHSdkqS2kPq7FFS3HvW1heGXvjs8VeRYST4MVvkFVf9atvvsmcBF5BvBW4FnAI8DFwEeAa4ETgcOBdcA3ROQWVb0dU2z9JuBFwOuB64Cjej96S1LSbJ4QlC5x5d2JsDshLOqW6m6kvtgi31hZJ42+64upIm9X7v7+tTDe8hdBr9IqaYWfCCkk+kWWV0TkPap6cVb99TMCr2GS+u4YisDjwKnA+1X1YeBhEbkOOFlEZoCn4eSSROQK4AIROUxV7+7D+C0RtCNuaI268yxuqS1EClmqc/EXCjrHWWkozDWtOgyTuhZXxP7icEWeZVrF0hYnYoLVTOibwFX1VhH5PHCv0zSPiaa/B9zuOfVOzIt+KnCXm0tyckt3Awdjdpm25IROom5vuqQWk/tup952EtLIu0nSccKuxGx6XpmD8uTyeeUJ07936XiKn9hAsVedYynSKl2JpC2Z0M8UyguAlwJHA/cB78ekT1YBOzynzjpt/nbvsaD+zwTOBNi0aVOWQ7eEkHW6xCtu7xJ1d3m693gWMk8t7upcuJQrMTIPk73bXppMJHQtTQamTaA5dy61BfOvE8X3K61iIdPJ/v1MobwE+KST20ZEzscIugp4dy2dBLYB233t3mMtqOrVwNUARx99dH/+Dh8h2tlvMipd4rZ5xV1ZqlEeK3ZF5m3LuzIXG3nr4mz8ALx9lCZhcRYZnzbtrrC9Qnc29o0TuhbGQ9Mrg5hWUSkOdA4c+M8sO+unwOcweW+XKiYv/iPgCExUDuZm5o8xs1M2i0jBSZ8UgEMxs1EsfaKb6RJX1JWl5dkM3u/9Mgcj9DQy71TcgXLuOJViBK2unJ1rNAndjfD9Qm95geYfV+RZpVUs7aGql2bZXz8F/kXgcyLyaeAu4CLgy07720XkJuBJwCnAcap6v4jcC7xVRK4E3gHc4dzstPSBNPJOS1zVv3Zxpw9mIu5ORQ3BqRZv2sSlNNn4ZSGetpY0i/eYh0bqxJF44DFPNG4lPhj08ybmzSLyTuCzwEbM9MAzgK3AUzBLT7cD56qqG42fhpkHfgnwA+BVvR63pX1xu8vOS86nrlo1KqpUlVLRRN9ukahScTkiL5VKDaGXAuZve6Ns//xu95hbp8Qdw7K055GlDKXtpezJ+IXJvOwRrStj//O9M1HGp5vbYs53iZqS6B7LYuWnpbf0dSGPqn4c+HjAobOdL//59wLP6Pa4LOGkTZlE1QppR+gQLmloLijllTW4C0ucRTjdknYYZf/tGwev2F0Ze891pxS64va0RZ0PNKYgeuXtRt+Nfweorghg5oEP2pg9OKnf24BjVbXjlU52Kb0lMe3cqEyDV+jVap2yI29X6F6CRA3BsqZO06rJjqUdFE2HCTqOsOd1EHV7544nlbc3+rbpk+7h3L+7DXgdcFWn/VmBW2Jpd1FOJ3il7Ard3x5USMqdTeEXtjnWhrST5LGzxh91e1MiCaNuP0nlbekJRwKvFZH3YNLEsFyh8PA0HVmBWyLph7yDGB83IXicrE37QvO/QfO2w8TdrrA9M0HaJkm6BGKjboiOvJvOs/LuB+eFtKe+uZRY4CLyZGC9p2kcM497r7QXtQwGnaZMzHTB9vZkdAmq+pdE2Oa8BNJOI+ywxTnl4Kg3FW1G3UERd5y8I29o5j19IqVh+KVzFeGyzj4CF5H3Am8AFnFCfczMkcvTXMwyOGQj784Imt4HzQWjvPVIGsvao6Ttpk2yJGCBTSrC5N1B1A0hEbdNneSBszzfF4A9gFdjZtalImkEfjrwdEzZ17eo6qtE5B3AQC+JsrTSacqkW+KOjbIhVtr1yhzV+V1Ul8x5pbEJShNTgWMopI2q/VMAkxIn7wzEbfPe+UJVb/K3icj1mDpQF6bpK6nAp4FfA1swRaXA/BlwHxlW1rL0jyxy3Z3KO0nVv6YoG4Kl7R6vzFOf29qQdm1pjtriPNWleUpjEywBxfEJimOTlMaMKF2h1xNE6YGSTxOFe+Xdpag7jbzD0icFqdmCVt1nDaZ8diqSCvzbGGG/DSiLyAuBlbSRdLfki7SLctLKO0kePC7ibroJCc1pEKctKtr2irs6P9sUgQOUJqYpjU1QHJ9IFJ27eCVfKE+mi8JLkz2Juv3n2sjbICInAR8GngB8CThDVWfTntPmte+i2Z0FYD/gsrR9JRX4qzBL19cAb8EsvikC56S9oCUftLOaMk3KxK1HElWLxBU3kHwZO7Qt7UqlSqVSp1IxYy6XlyiXC7B7lnK55Eh7OjY6jyUqCk+ZMokTNySX9zCgUuj4RquIrMVsBnM6ZgX41ZjV3eemOacDzvI9rgMPqeov03aUSOCquhUjcIAHgH3TXsjSf9pdAp826k6yd2W7Ff86kfbiYo1KRVmqmPGNlQuUy+JMUawZoXtkDq3ReZjM65W5+Cg8St4ZR92B50dE37mffZItLwZ+qKo3AojIZZgI+9yU57SFmwMXkT0wNzB/pao72+krUuAicjjwMczUltuAMz11SSwDQidFp7KWd2pxQ+wNyaXZmUTSdtsWnAh8RVkol4VyucZY2amZUhbGx2uR0XlxfILFXTON6DwwMvdH4UHybjPqDpxd0oG8R5Ajad405g5gTxGZUtVdKc5pCxHZl+XtIHcC60XkP4E3qupv0/QVN0H3auBbwDOB/wX+Of1wh4dB3aTVXbHYDqVSIfCrXJLAr1Kx0PTlrfhXLtUp1ucoLD5OYenxZMvadz+K7n4U5mdgbob63FaWdm5hYcdjLO6aaci7EyqVeiMq97f7qS7NU1tMeT3/zcqE8tbCeKKo258yGba0SRtsEJFbPV9n+o43bQ7j7PJVpXlzmCTntMtHMGmZtaq6D7Anpnjfx9J2FJdCOQZ4nqpWROSvgVS/HYaJQZW3i1fiWZSBDbspWfJ8otxiVh2Va41JlTRde2LafM3PUnYi8XJZPJF4gaVKnbIj5nK54Iu8i05EXqBcNi/EH3kDLZF3YzZKgJSzynXHpUuCnpMl7ue//7NRJMkYtqrqsRHHmzaHEZExjAu3pTynXY4H/lxVqwCqukNE3g08mrajOIEXVbXiXGROROzS+yEga5mHXaNYLCabFhgh77BpgFEkETk0S9s8LjSlS4CGuNNIG2JuUiZcRdloS5nr7ibeQKb/Mm+buzE5bpfNwH2qOp/ynHb5NSY49s4HPwL4TdqOrJATMOjRdxRpZZ40HZN6dklE1L24ayaRuP1EiRxoiraDbloWx4xg2xZ3BzNLoLdRdzubOPh/LgZI6DcCl4vI8Zjc9vuAT7dxTrucB/yHs6n7/ZhJIX8KvDltR7ERuJNcB7OEfszzGABVfVHaiw4SwyxvP53kyqFZ2kC0uKFV3vMzidMlaQgSOdBycxLIPtr2tLcr7qC2POa5B0XoqjojIq8GrsGUBPkccKmInAa8R1UPDjsno+t/RUSeBrwSeCImdfI8VU29PWScwE/3Pf4MyxPQxfO9pU/k4YfGH21Dc6GptFH3wo7HIhffuOmNtHhF3njsS5GY9qnk0va0JUmTRBeSihd3XB95ohvpFtVs0n6q+gXgC77ma5yvqHMyQVUfBP62034iBa6qnwAQkWdilsw/0fMcV+DXBD978Mlr9B01rl4JPSjahjbqb4fcpFycfbxlWiCAq8N2Je4+d3zarFr2RtupI+2Ic8M2VfASt7t6llG3u99lv8jrz1I/EJHfxfh0f3wOVtUD0/SVNAf+Kcy8xQsxO8db+kA7PwRZR0FJou2mtjZvUlbnZ5nfPds0n9ulXKlSdhbVpBV5aWyCsen1rSmStOkR77me40HbmLnECTvsvEGJuC2JuRbj04vo0KdJBb4ncIkzF3IkyEvEkOU42o3Ok0bbjTZ/WdcUNyn9UfeuXdXGQpyxcoFdu6rOzJF6qmjcTZWMT61fjrYDUh5phQ3R0XYSaUed00t5293oe0ZmPk0q8E9g6p5c0ekFvYjIGzFL9NcC/+Zco+Jc5wxgN3Cxql7lnMRDfYgAACAASURBVH8AZlf6Y4CfAK9R1buyHFMe6NUvjyih+3e+SRVtQ3CVwIiblAs7tiRYRVmnXC5QqShTUyXm5pZio3F/jnts1R7LS9eT3oT0HiPZ7jdBJI3A/X1alqnXtas7P/WIzHwat5TerZpVBJ4kIu/CLOZp3EVIu4ebp+9nAe8CXuj0eQPwV8AjwImY5fvrgG+IyC2qejsm334T8CLg9SwvR82UfkXf/Y76w7Yri92qDEIrBfqj7qWdWyLrlszN1WKWvyuVsrsQRyKj8fHpdc057skNDXEHlnANETaER9lJpvqlxcp7OOmGT+MicH/VrCx5CfBpVb0TQEQ+iEnsbwXer6oPAw+LyHXAySIyAzwNOFFVF0XkCuACETlMVe/u4jh7Qr/l7cWfKjFtzTcmzfHkEXfYzBJ3Sh8EL11vh9B0ycT6ZXF7C0hBW8JOK+t+i7nfNzIt2fs0bhZKy84RGTKGSZG4CHAApvaut4jMnZiI/KnAXW7eSFXrInI3cDBm1VRm5HX+ahDevSIz7TdiVok5HrHf5LypWZJE2l7MohoSLX+fmio1LcRZsXqPpnTJitUbl8Xtj7oTVP/rVNr9lrUlf3TDp/1cifk14AMi8lFgF2YVUhFfERlg1mnzt3uPteAUsDkTYNOmTZkOPGvajb57Ie/lay3E36D0ids/FTApYSI3x0zaZHKy2LQQpyVd4pG3rNwzVNxZSXtQhD3oUbhqNtv2DQt9E7iqftFZjfQdYAmzdPUAzFRfbzX8SUwBme2+du+xoP6vxlRT5Oijjx6q//FuiRuCd3yPnc/tiNudUbI4+zgLO7akknYQfpGbNhN1T6ycblqI05IuCYu6I6b7JZX2oMi6HexMlMGibwIXkQOB/1DVS5zHpwN7A/tgCru4dccPB34M3ANsFpGCkz4pAIdiZqMMLGmi76zE7c1tBx5PIG+3xGuQuOfmlqhUlF273CXr4qQ84qoXB+OK3Hzfmi4JirrD5O0XdxJpD5uwBz0KH3REpKiqNef7KWDefZyWfqZQjgEuFpETMFu1nQ+8AXgS8HYRucn5/hTgOFW9X0TuBd4qIldiph/e4dzsHHqSyjtOzsmvZ+RdWNoWKG53Rok/4p6bq7FrV5Xdc9WmqHn3XK1pBxw3kk5K0nRJSwlXn7z94h6UperedFYa8vhaRhURKQN/DzwZeJ7T/EfAVSJykar+fdo++ynwG4DnAj/DFEr/G1X9uoh8E3gKpsD5duBczy5Ap2HmgV8C/ACzV+dQEyfuToQdJgWpLVCo7DBRtyPrMHG7Kyb94t65oOxaNMWxpsbrjBXrLTvgJJF50G44TekSCI+6IVTeedw3sl1JWwaGv8Ls9PNqt0FVrxORXwCfFJEFVf3HNB32Mwdex0xmP8fXXgPOdr78z7kXeEZPBtgD4tInWco7qRwa8l7YCnMzjV1xmJtpiNtdeOMudTfirjE3V2OhYsQ9uyQsVEyfizVhvAhjRRgrLct8crJIpaKBIg8Sd2jUDZGzTFx5e6PuvEgbuituqS8GvtZBTaOoaqI9V3PKq4A/8G9erKq3iMirgH8FBkPgFjNdsRfzv+MEEZjrnpsJzXN765S4S93dOdxLNfMVh7uJQvAxI+8Vq/ew4rYME/sCvwo59mNMscBUjITABRPt5nF+d5TEtTje8Y3LqDRJy4pKN9c9v9XI2yk2tbDjsaaNg/3yXvKsllyqRtcUHyuazYS9+LcyC5L32Ko9YHJ96/6SEdJuiNs708SJOrO6V9AOvRZ3WBRu6TmPYDIINwcceyrwUNoOR0LgLnndDqobkXicuCN3gA9ImQRVCPQud4fmyHuhAks1Yay4PINzrLT8vbsgp9zIiwfLe8XqjWYJfNAqSs+UwDBp5yVNkMdoe1DTKAPMx4GPicifqeqtbqOIPBmzYXzmmxoPLXmTeZjE24nC/bJIvCOOr8SrV97uLBN/eVd/rRKAxYDfRWOet3h5D0o3990q78aNSlfeK/dsRODeqYCutIOi7DyQF3GnicLzPBdcFWqDu5DnMmA/4BYR+TUmIt8AHIgp2X152g5HVuBe+iHzWk073sLMT8vKySSrJ33L4b11S4I2VfBXCXRZqsFSVWLz3yucaHusXPCkTpbl7dbqdlMmsnJPmDASr4+tBWiRdp6E7ZIXcVvyg7N+5a3AR4DjMFVYZ4Cb2q3nZAXuw5V5t0Tu3Q7KL/FOonDv3pONx2ErJyFyN5yw2tzBJV6bo+8oxorN0Xe5LExOjjXJuyll4kTdumIDWhinPrbGRN0ZCFtLKzPPgw+itG0apXeIyFuA5zsPv6qq7+u0TyvwHhC1h18SiQfJu6lSoD9l0sY2ZnMzD/H4bx5i27ZKU147C8aLJv/t3rxcjr4LieRdL6+mXl6da9EMgrztzcy+83+BTZhCfj8HPtRph1bgPrKOvLPYgNVPkLxbUibOopsmcc/NtEh7dusjbNmyyPYdFR7ZAY/tFlatUPaeVqYn41dKupF0+PEiKyeLTE2VmJwcY8XqPRifXsf41PrQNEl9bA31sXWdv1ERZBl9D4K8h4X6YM8D/yrwNkzRvq9n0aEVuEMebmRC6+Ief/SdWN7zW5tqcrsbKfilvXUXPLxTWKgsS3ihImyZFVaUYZ9Vyt5r0+fqV06W2GOPcdY+4aDYvHatB8LuFlbelhScitnARjCryTtm5AXeTXF3Gn175R2WMmnKeTurJ70LcNw53Nse+Tnbti3x2NalQGkHsVCBn88IP5+BPaaTReVrVpfZY49JVu97GNNP2AyrNuUuHZJZvRgrb0sKVFUxUXhmjKzA8xJxh5FK3rUFI++dv0a3P8DSzAPMzTzUkPb2HRV+s015bDfsXGhv5suW2eio3C9u2Xg4rDuU6tQBuYmubdrEMmyMnMB7Ke64aYJhe1A22kJkDZgqgW6qZPsDLM48wM7f3Mfs1kfYtm2pUQlwqVJndq7O7JI0ikt1wkIFZpdgaq7O9GSBPfdYwfqNa1i172Ym996MbDgcXXcolcn9WCxuYH6hBs4sxXLJXL9UWo7i3fco6L3Ikn6uvOwHUlvIZH/OvKEK1cGdB545IyFwpf8RtyuotKJuyWs7qyR3b32QpdkZFnZsYef2HWzbVgm87li5wF4bxthrw3Lb7rkqM7N1Ht4hiSJyN32y14axRl571b6HUVh/KLLxcGrTB1GdOoDd1ZCKgqXlawTJG5pn37iLSLq5ccWw4n5usibpz0+e9nYdBUZC4L0kKqoOErX3+8ZNSTcd4sh6cecW5mYealQAdEu3bt9RaZRtHSvChimTyohj5WSJlZOw357N7e5NzbGSste6EnvuMc66vfdl1d5PYmyvzciGJ1NffTDVqQOZV9/mSCGb75RLEiptl27/0A/7fO8wabcbhXeyCrPfgdKoYQXeAf6oGqJl7Rc10Hzjceevm2ptz259pKnO9sxsnV2Lwo4F2LUo1FUwN7QNP5+BglTZZ7WyblJZt7rEWIJNE6amSqxePc6hRz2RyfX7MrZ+/0YqpOqkQpri+xR/wbryDksnhcnbRt/xZBFtJ7mZbKWcX6zAU5A0Zx0m7Iasd/yyqVjU7i0PNiJrL4uLNXbP1Xh8R7VRY3vnwnKd7SDqCg/vEBZrsFSrsn66wMpJ89/sinpqoyPqvTYjqw+AVZuoTexNbeIJLOkEOxdqy/nqYnvboHlJK29LPN1KleS1BoolGCvwAJJEhd5Iu2k2SEjOes6Tsw6SdRDj40XGx4usWzvWaHt82xJzc7VG6sSNxsdKsHHlcuS9bu1Ys6ydqNqVtRZXUHWWpWtxnLoWqdWU+YUa1Vqdas3Iu1I14wy6AdkpvaqH7o8yO02paGG872mUuNRIVjcx8xZ91+tKJUnB+RFhZAWe9k93f6Tdsu2YMxvEO/favcHo3bFm6y4zi2Pngim1unoFTI0rq1YIa1aXmZqK/i9Zt3aMdWtb28tlYd3e+zK5fl8mNzzRzL9ecwA6vYl6eTW1gDKrbrTl/SGdWFGkWs1e1mnJohZ6aN8Z1ATPg8SjGJS9Pi2dMRICdzd0aGmPqTHSaPMUiiosbVu+wTg/Q80n7Pnds2zbttQQtj9SrnvyxwsVYeeCGeGKMqx6vML6ySVWrTDbja2cNBG4l8nJIhMrp1mxeg8TWXtXN67aRG36IOoQuOejNxIN+lO5WBRqNe2puLu9oUUUnRa0yrvE/QSNVZaix+/99NXH1lErTGY8KksnjITAvUQtkPEuSTfHAwpC+TY78G/s6+atXXkvVd18dNxONcp4wF+rXmE3Cj6t3hS4HB2Cd5+B6NymtwJjUL660xWl7vPDcuHuXwBhlRihezc1ve9ROzIP3G9ygKQOUFjaHlxDx9mVyd3sozi5njEnUPCuqq2ObezzK8gOETkJ+DDwBOBLwBmqOhtx/s3Aear6/R4NsYmeCdz7QkVEgCuAM4DdwMWqepVz3gGYneePAX4CvEZV73KOvQq4FFgFXAu8SVVDJrB5qVNYfDyxpAF0cRYNqdwXtb2Yuyu7u73YUo3GTcd6iAcLjtfGisslV8fKBaamSqZW9sQ0xfGJ5Wp9pUnzFVD8qZObUGF10cPEm1bs3vOD+kwi8ig6lXzQjIyspN7Sb48kn0TObp0cfw34ubmlps07pqZKrFqzuimYKK3eRNkTTNQm9jZiH1/X9BlaXKwxv1hr9NUuWleqle7kwEVkLXAdcDpwE3A1pmbJuQHnngS8FHh2VwaTkK4LPOSFng6cCBwOrAO+ISK3qOrtwDWYN+9FwOsxb+hRInII8A/AHwD3A/+O2dH+A7FjKJiXWV73pJZj+quvIge+pPU5QP0776JwwhUAFMjmzbro2c3zpy/69nxH/RWdr7k5p5+UwfLk5AQL87ua2lZMTC33F/G82dm50OPT05Ns27aLtWunAs9zZT49PdlyLe8PftD4wkgi+RUTUyzumknUH7RKfXxqPUvbw/alTU4v8tFja/YLPeb99Znles2wn5HJSbN7Qc55MfBDVb0RQEQuw0ThLQLH+KwEJPtwdoleROBBL/RU4P2q+jDwsIhcB5wsIjPA04ATVXVRRK4ALhCRw4CTgRtU9bsAIvL3wHkkEDiEf5hlv98LfU7huPcm6ToVnQo7jMnJifiTQlgxMdVWf9PT0fnQtWunEp0Xd62g8XXC+NT6jp4fJUbLQHMkcLvn8R3AniIypapNolbVdwOIyIk9HF8L/397dx4uV1Xme/z7SwJmIBFCIjQyBBqBRMYQxaGjXAa5j23btNCoF4TLFBHSihG4CCIICLZcsWlbxCDK0AzN0KaBq3gVlSYOSCQICQkEm3ANGMgAgYST4Zz63T/WLrJPpU6dITm1a3g/z7Of5Kw91Lvr7PPWqrXXXmvQ71bZvsj2aaSpg8oq36j5wJ6kmZkX2F6X7VsCFmbretonhBDyxkmak1um9XG/McCq8g9ZHurMyhtSUTcxu71RwOtZWWV5rXXl8hBCm+hjP/Dltqf0tFLSBcClVVbdAozIbbc1KUe+MoBQ66Kojr6vknujgJGkN6myvNa6cnlVkqaVP4GXLVu2RYIOITQ/21fYHla5ALOBfXObTgQW2R6cds8toKgEvpDub9Qk4A/A08BESUMAsn/3JvVG6WmfqmzPtD3F9pTx41unm1MIYdDMAqZKmpr1SLkCuK3gmGoqKoHfCpwjaaykQ4DjgbtsPws8A8yQNAK4CJiX3ey8A/ikpEmSdsrWNfSbG0JoHrZXACeResL9CXiZ1G0ZSSdKerbA8Koqqg38emA/4HlS08jZthdl604ktUVdBjwKfArA9nxJF5ImAx1B6qN5U53jDiEUyB68fuDZ8e8D7qtSfjMpsVeWTxi0YPqgbgk8f6K2u4CzsqVyu2eAQ3o4xvWk5N8vv//971dLerq/+9XBOGB50UFUEXH1T8TVP3sXHUCraJdH6Z+udVe6KJLmRFx9F3H1TyPHVXQMraK44eZCCCFslnapgYcQWoBjPPBu2qUGPrPoAHoQcfVPxNU/EVeLa4sEbrshL5iIq38irv6JuFpfWyTwEEJoRS2dwCXtIemXktZIekrSoUXHBCDpXElLJK3O4tun4HgelvSe7P+SdLWkVZJelHRGg8Q1UtKNkl6TtFTSNZK2KjquivKvSnqgiJiy1+8Wl6QTJC3Ofpc/lLRtI8QmabykWVlcy7LfZWNNvtkkWjqBA3cCPwfeBvwj6QnQQmVPns4ApgLbA48A1xYUy1GSrqPnsdqPAi6XdFADxHU+sE8W14HAu4EzGyCu8rqDgC/UM57ca28Sl6QDgauBTwI7A1sD5zVCbKSBpF4FdiT9Lg8nPY3dq1KXWb+us+bSTlo2gUuaTHqQ4TLba2zfBBzXAJ/0XaRpF8o9gIYCKwuKpeZY7bafJE2o8fEGiOtI4CrbS2wvBW4g/eEXHRfZN4HrKe7mXLW4TgGus/2bbEqwk6nyJGFBsXWScs8Q0twSRf4NNLVW7kZ4MLAIuEnSh4HngDOzp0ALY3uOpHtJY74AdJBqIUXEUm1Q+mrjrtd10Poe4joNyE+FMwV4sQHiAvgiaYiHBcBe9YypRlwHk2a6egzYlfR4+PQGie1S4DE2JvUHSTPfhH5q2Ro4qfZ9OPATYBfgB8AsSVtyBql+k3Q4aYq5ycBo4EYaoGknpyHHXbc93/brkkZJ+hbwMVKzWKEk7Uv6hnJJwaFUGgccCxxH+lDZlepjYBfhalLT4bakZrHdqHNzWKto5QQO8KTtW2132L4W2Irix2E4GrjF9txsmqbzgSmSxhYcV1m/xl2vJ0mHkWq5ewCTbT9XcDxDgO8D0xt0zOjv2n7W9kpS0jys6IAyRwOX2F5l+2ngW6T7Lb0qlUzn+q6aSztp5SaUxaSEDaTeFaQPrKL/0N4gtfmVdZLaxYuOq6w87np5dMia467XSzY59h3AGbb/reh4MqNJc7j+OF1eDAWGSFpqe8dCI6u4/mmMa7+scpbrDcCaIgJpdq1cA38A2EnSadnY4tNJw9cuqr3boLsfOEHS5CyuS4AHGqgGV3Ws9oJjArgY+HwDJW+yGuRWtofbHg6cDvy0AZI3pA+7MyXtk327mwE0ynt3H3CxpG0l7QZ8Brin4JiaUssmcNuvAB8CPg28RPradqxtFxzXw6SbXncCS0ltgKcWGVOF64HHSR92d9N9rPYi7Q98T1Jnbnmw6KAa2I3Ad0g3CJ8ija3/L0UGlDODdG/lj6RpzG63fXexITUnFZzPQgihTyRNeN97jnjugvO+WXO7j3xsv8dsH1ynsArVsjXwEEJodZHAQwihSUUCDyGEJtXK3QhDCC2mFBM6dBM18BBCaFKRwEMIoUlFAg8hhCYVbeAhhKZRKpVYv25D0WE0jKiBhxBCk4oEHkIITartErikz0mqOsOMpNMlnTCIrz1B0tp+bH+WpPNrHUOSJfU4eFL5fCU9mBtDxJK6cj9/UNK8zTmXchySDpW0sD/HqnLsmuc0gOP1633vx3H7/b7l9h3Uay20h7ZK4JLGACeSBmmq5mbg7GyUwN6O9TVJJW3GhMSSxkj6kaQFSpMuV46J/FHSyG0DPj7Z+do+3PYw28NIA1W9+bPth2zvO9DXaVeb+b71+VoLoSdtlcBJw33Ost0l6SOSFmaznN8taaTtdcAvSPMJ9ij7ozuRNMvPZ3vZ9nRJL0laQRo2M++fgJ/ZnkiatuyG8szhkkYDu9ie39MxcrW/JZJ2qHW+vcTYrdYs6XBJT0haLenO8mQTfYkD2CFXPjb7YPpcreNWxLLJOVXbL4v5d0ozmi/Lfpfvzh2nx/d9gMfb5Hrpx/t2paQVkpZmH/xD+nqthe5KXSXWdqyvubSTdkvgxwA/lzQBuIk01vVOwFjg89k2Pwf+tpfjnED647sY+B+Stqu2kaQ9gauy1/1L0uQI5XUC/h64BcD2i8Ac4K+zTf478JNax8jV/na2/VJP59vLuVTGvDNwG3AGaTbzDuAbfY2DNHQvkkaS5jn8oe1rejpu5etXnlMv+70LeIE0Zd79ZFOs9fK+D+R4E+j5euntfTuUNIXeHqS5Tz9G+t1C3661EHrUNglcafqrd5Em6f0EcK/t32fTmp0F/C7b9Angfb0c7h+Aa20vAf4vacLdaj5Oar6YbftVus9JuD2wDfBTSY9Lehz4AGnuQoC/Ae7t5Rh9Pd/+OD57vV9nr3cxaSz1/sQxjDQJxKu2L+zluAONB2AZaab6taSEu0tWXivWgRyv1vXSl+PuABwJvEaaC7X8odqXay2EHrVNAiclzCGkCXt3Bf6rvML2Ats/zX5cCYzK2o83oTQvo23/Kiv6Z2C6pKFVNt+Z7jOp52dRL/fBn2r7QNsHAj8DhmXHei/wcC/HqCV/vv2xGzBN0trsxt9C0tRhe/Yjjr/MXv8QSdvXOq56n2S6p3iGAytzE3SsZeN7Wus9G8jxal0vvR33t8DZpKa2l0gzHpW/sdW81kL9STpK0iJJa7JmsNE9bHeSpMVZc9lDkgqZa7edEnj5j1HACrq31b5XG3sElCr+rfRZ4NvlH2zPBpaTviZXeomNNWoq/r+ClCTyZTsDLwPvBx613dnLMWrJn29/vAxcnZsm7K3AIaQbn32NYwkwFfgNG2u/VY+b1XYHEk+t/Wq9ZwM5Xq3rpbfj7g08ZvsDpBq9gS9k+/R2rYUKpZJZv76z5jJQWVPo7cC5pL9FAZdV2e4dpBzwGWA8afrGOwb8wpuhnRL4MtIf6XbAvwPHSdovqyF+k1QDg9S+2ZF9Ve5G0u6kZo5bK1Z9i1TLqnQPcEz2B78tUG5OwPYGUo37f2bHnkhqI32A1Pvk3t6OkekCxvVyvv1xD/AJSRMljSK1D3+xn3Gsyc7vXOBUSfvWOG41+WP1Z7/8OfQU60COV+t66e247yLdnP4LUvIeTvrdQI1rLRTio6QP21nZlIxfIzWfVToM+IXtH2dz2f5v4IBqN+UHW9sk8Kw2+ztgP9tzgQtIN9meIX3N/X626b6kmmM104FRwNOSlpQX4Erg/ZKmVLzmk6Ta1t3A08BPKo73D8C7JT1LanOdbvt50k2uH/fxGPcCv5c0vqfzrfW+VMpe7/wsnpdJTQNn9jUOUo2kfKynSD11runpuD2E8eY59XO//DlUjXWAx6t1vfR23JtJ9yHmkWaKX0b6wIfa11qov/2Bubmf5wE7SNqmYrtZpL/dsoOBN0j3OOqqrebElHQO8FbbF9XY5kpgie1v97RNs+jL+YbitNK1Vg+SJkw+4APPfebUTVo1ujn9sx8c0JyYkq4Hnrd9ea5sA7Bb1kus2j7HANcBX7Fd90mj26YGnvke8BFJVQfxkrQVqfb7g7pGNXhqnm8oTgtea3VR6iqxYd2GmgswTtKc3DItfwxJF2jjU8hvLqT7RiNy222dlb1SGYekcZL+A7gGOLWI5A1tlsCz7l3fpXq7FqSuYNfZfqN+UQ2ePpxvKE5LXWsNZrntKbllZn6l7StyTyG/uQCzSc1aZROBRVk795uyexyzSTe397F9LwUprGYm6UvAlyqKhwInkx6WOC8r+7bti7N9xgL/CnyQ1J746awXSJ/Zvq7Guhv7c6xmUOt8Q3Fa8VprAbOAqyRNJbV/X0F6OKvS8cCfbRf+FG1hNXDbl5e7XGXdrqaS+s6+QuqqN5V0c+B4SeUHIq4h3SB6O3A5cHf2NSeEEDaL7RXASaQbz38i5ZorASSdmHU2gHSz84NVmmF2q3fMDdGEkrXR3kR6wu1Y0lfLBVmPjO+Qume9JVv3Jduv2r6ddEf/sKLiDiHUV8mD1w8cwPZ9tne3vY3tk53GrMH2zbb3zP4/3faQKs0wz2+BU+yXhkjgpPEjnrf9n2zalWc+6SnAvYDVTo+vV64LIYS2U3jvhGzMji8Ax2VFY+j++PfrWVlleX5dteNOA6YBjBo16uC99tprC0YdQhiouXPnLrc9vvctQ28KT+DAR4CXbT+a/fwqua48wEhSu3hleX7dJrI7zzMBJk+e7Nmzf1VtsxBCnY0aNbLuTQ2tqhGaUE4mjVxXtpDuXXkmAX8g9TrZruJx1fK6EEJoO4UmcEkijS3yYK74VuBMSW/PRvg6G7jN9hrSI9aXSBoh6VTSaG+P1DvuEEIxSl1pVvpaSzspugllX1KzyBPlAtsPSLoZeBLoBL5m+5fZ6s+RJkBYSaqpH+teZpsJIYRWVWgCzwYAGlml/DKqDOPoNOvMh+oQWgghNLxGaAMPIYQwAEU3oYQQQp+VJzUOSdTAQwihSUUCDyGEJhUJPIQQmlS0gYcQmkapZDas3bwBq1pJ1MBDCKFJRQIPIYQmFQk8hBCaVLSBhxCaRqnLrO+INvCyqIGHEEKTigQeQghNKhJ4CCE0qWgDDyE0jVKX2RBt4G+KGngIITSpSOAhhNCkIoGHEEKTigQeQghNKm5ihhCahrtKbOhor4mLa4kaeAghNKlCE7ikcyUtkbRa0i8l7aPkakmrJL0o6Yzc9rtLmi2pQ9IjkiYWGX8IIRSpsAQu6RBgBjAV2B54BLgWOAU4ApgEHAVcLumgbLebgYeAHYC7gdvrHHYIITSMItvAuwDnYhgKrAROAL5u+wXgBUm3Ax+XtAI4CDjC9jpJ3wAulLSP7YUFxB9CqLOuzhLrVkcbeFlhCdz2HEn3As9kRR3AgcBvgLm5TeeTauQHAAtsr8v2L0laCOwJRAIPIbSdIptQDgf+DpgMjAZuBG4FxgCrcpu+npVVlufXVTv+NElzJM1Zvnz5lg0+hBAaQJE3MY8GbrE91/Zq4HxgSrZuRG67kcArwKsV5fl1m7A90/YU21PGjRu3ZSMPIbQkSUdJWiRpjaQ7JY3uYbvpkv4s6TVJ90v6i3rHCsUm8Dcqfu4ktYs/DuybK58E/AF4GpgoaQhA9u/ewBODH2oIoRE4G8yq1jJQkrYjdYw4F9gZEHBZle32Bb5CpHQQiQAADoZJREFUqoTuRGoJ+PqAX3gzFJnA7wdOkDRZ0gjgEuAB4AbgHEljs54qxwN32X6W1F4+I9v+ImBedrMzhBA210eBx2zPsv0K8DXgE1W2+wBwv+1HstaDW4F31jHONxV5E/NhSV8E7gTGk7oHngosB/YDnic1m5xte1G224nALaRPxUeBT9U77hBCy9qf7h0o5gE7SNomS9Rl1wPfA5C0PamS+eu6RZlT6KP0tn8A/KDKqrOypXL7Z4BDBjuuEEJbGkOqOAKQdVfuzMpX58o3AEg6HZgJrAWOrG+oSTxKH0JoGqVsLJRaCzCu3AMtW6bljyHpAkmdlQupQjsit93WWVlPHSWuJ3Wk+F/ALElbDdJp9ygSeAih1Swv90DLlpn5lbavsD2scgFm070DxURgke2O/P6SLpR0QnasDuA7wFh66NI8mCKBhxBCMguYKmlq1iPlCuC2KtstA86XtIek4cA5wJO2V9QxVqAfbeCS3kkas6TsLaR+3Dtu8ahCCKHObK+QdBJpzKXxwF3AlQCSTgS+bHtP4Puk2vmvSU0uvwaOKSLmPiVwSZcDnwHWkfpGmnSCVw1eaCGEUF+27wPuq1J+MymxY7sT+Hy2FKqvNfBTgHcB2wKft/0pSecBwwctshBCqOCYlb6bvraBjwb+RHqQ5oCs7DqqdPULIYRQH31N4LNJCXsYsJWkI4HDSE0pIYQQCtDXJpRPAeeRNaGQHr4ZCkwfpLhCCCH0ok8J3PZyUgIHWEwa6CWEEOqqVCqxYf36osNoGDWbUCRNkvTbbMjEX0h6R70CCyGEUFtvbeAzgf8E3gv8jmwAlxBCCMXrrQnlYOC/2d4g6SvA0jrEFEIIoQ96S+BDyyNv2X5DUqGjF4YQ2lvJXaxf39H7hm0ixkIJIYQm1WsNXNKPsv8L2Dr3MwC2PzwokYUQQqiptwR+SsXPd7Dx4R0RD/KEEEJhaiZw2zcBSHovcCmwW26fcgK/eTADDCGEslKpxIYN64oOo2H09abkv5Jma76YNHN8CCGEgvU1ge8AXGY7PvpCCKFB9LUXyk0Mwrgnks6UtFjSKkkzJW2t5Oqs7EVJZ+S2313SbEkdkh6RNHFLxxRCCM2iZg1c0gJSO/dQ4B2SvkR6mOfNm5e2Jw3khSW9D/gSaTbnpcA9pMlBXwSOACaR5pn7haRHbM8ltbc/BHwY+DSpWefAgbx+CKH5uNTFhg1riw6jYfTWhHJGL+s3x9HAbbbnA0i6hnSjdDnwddsvAC9Iuh34uKQVwEHAEbbXSfoGcKGkfWwvHMQ4QwihIfXWC+WhQXztrYE1uZ8F7A7sBMzNlc8n1cgPABaU2+FtlyQtBPYEIoGHENpOkU9i/oxUs54gaRzwWVJTzRhgVW6717OyyvL8uhBCaDuFjW1i+35JBwG/AtYDs0g18JGkmZ7LRgKvAK9WlOfXbULSNGAawC677LJFYw8hhEZQWA1c0h7AD22/3fbuwJPAb0jNIfvmNp0E/AF4GpgoaUi2/xBgb+CJase3PdP2FNtTxo0bN4hnEkKoF7tEZ+e6mks7KbIJ5WDgLkk7SNobOB+4HrgVOEfSWEmHAMcDd9l+ljSp8gxJI4CLgHnZzc4QQmg7RQ4Pew/wQeApoBP4qu0HJf0S2A94ntRscrbtRdk+JwK3AJcBj5Lm6gwhhLZUZBt4ifRw0PSK8i7grGyp3OcZ4JC6BBhCCA0uJmgIITSNGMyqu5jQIYQQmlQk8BBCaFKRwEMIoUlFG3gIoWmUSjGpcV7UwEMIoUlFAg8hhCYVCTyEEJpUJPAQQtOwu+jsXFtz2RySjpK0SNIaSXdKGt3L9u+UtE7Sjpv1wgMUCTyEEABJ25Fm+ToX2Jk0R8FlNbYfShq/aeu6BFhFJPAQQkg+Cjxme5btV4CvAZ+osf0M4Ld1iawHkcBDCK1GA9xvf7rPBjYP2EHSNpu8gLQXcDJpVNTCRD/wEEKz+PM63qBUKvW4wXo6ALaWNCdXPNP2zD4cfwxpFFQAsrl3O7Py1eXybC6CG4DP2V4jDfTzYvNFDTyE0BRsrxvGW8pJuqrVLAO4oTyZS7Z0S96SLpDUWbmQKrQjctttnZVVzvp1FvBH2z/dQqc2YJHAQwhNYxvGlZN0VatZDlAzsdq+wvawygWYTffZwCYCi2xXfmIcCnxS0lpJ5W4viyX9TT9PZ7NFAg8hNI2lLNgvS9KbMGZdaumYP8DDzwKmSpqa9Ui5Arhtk9exj7H9FtvDbQ/PiifYvm+ArztgkcBDCM1k/jpWY7zJig5WMZy3YnvTlX1gewVwEnAz8CfgZeBKAEknSnp24GEPjriJGUJoGra9nXamg1WMZNtu61aznG3YvAnMs1r0JjVp2zeTEnu1fQq7ixkJPITQVLZhPKtZXiWBL2MNKwt5IrIo0YQSQmgqS3h8x8p28C46KVHC9ksFhVWIuiVwSQ9Lek/2f0m6WtIqSS9KOiO33e6SZkvqkPSIpIm5dZ+StETSa5K+Iym+QYTQZmy/VKKLLjrfLFvDCkYxtsCoijHoCVDSUcDfAX+VKz4FOAKYBIwFfiHpEdtzSe1MDwEfBj5NGpvgwOzJp38G/hp4Fvh30oz2/9RbDEOGDGHkyBG9bRZCaBKjGMsaVjKGtwGp/XsFi48sOKy6q0cN/K9IHxSrc2UnAF+3/YLtJ0lJ+uOSdgUOAi61/RrwDWCCpH2ATwL32P617ZeBb1J7nIIQQotazn8dme8PvoaVkPpxt5VBT+C2L7J9GrAiV1w55sB8YE/gAGCB7XXZviVgYbaup31CCO1n9hvZA5Lr6WAYb8H25o0l24SKuok5BliV+/n1rKyyvNa6cnkIoc3YXjuUrdhAxxbpPtisiroJ+Cq5MQeAkaTxBirLa60rl1claRowDWDXXXfd/IhDCA1lG8bzOstZzTJW8ef9i46nCEXVwBfSfcyBScAfgKeBidloX+VRv/YGnqixT1W2Z5YHsxk/fvwWDj+EULSlLNh/NcvKj8/PKzqeIhSVwG8FzpE0VtIhwPHAXbafBZ4BZkgaQRprd57tF4A7SAPITJK0U7Zuk3EKQghtY94bvMJwxgz48flmV1QCvx54nDT27t3A2bYXZetOBP4eWAkcThqbANvzgQuBB4GngJ8DN9U37BBCo7Dt0byN0VlXwnakdvjgkvQ6qXmm0YyDHoZWK1bE1T8RV//sbbvmZMGhb9rlScanbU8pOohKkuZEXH0XcfVPI8dVdAytIsZCCSGEJhUJPIQQmlS7JPC+TGhahIirfyKu/om4Wlxb3MQMIYRW1C418BBCaDktncAl7SHpl5LWSHpK0qFFxwQg6dxsXPPVWXz7FBxPn8ZqLziukZJuzMaCXyrpGklbFR1XRflXJT1QREzZ63eLS9IJkhZnv8sfStq21v71ik3SeEmzsriWZb/LoUXF1sxaOoEDd5Ie+Hkb8I+kJ0ALlT15OgOYCmwPPAJcW1AsR0m6jp7Haj8KuFzSQQ0Q1/nAPllcBwLvBs5sgLjK6w4CvlDPeHKvvUlckg4EriYNw7wzsDVwXiPEBlxKGttoR9Lv8nDS09ihn1o2gUuaTHqQ4TLba2zfBBzXAJ/0XYDZ2Ad/KOmp0yL0eaz2BojrSOAq20tsLwVuIP3hFx0X2TeB6ynu5ly1uE4BrrP9G9uvAyfTw6S8BcTWSco9QwBR7N9AU2vlB3kOBhYBN0n6MPAccKbtriKDsj1H0r2kMV8AOki1kCJiuQhA0hG54mrjrufXFxXXacD/y/08BXixAeIC+CJpiIcFwF71jKlGXAeTZrp6DNiVNNP69AaJ7VLgMTYm9QeB/1Pn0FpCy9bASbXvw4GfALsAPwBmSRpeZFCSDidNMTcZGA3cSAM07eQ05Ljrtufbfl3SKEnfAj5GahYrlKR9Sd9QLik4lErjgGOB40gfKruSEmcjuJrUdLgtqVlsN+rcHNYqWjmBAzxp+1bbHbavBbYiDU9bpKOBW2zPtb2a1LY7RVKjzMjar3HX60nSYaRa7h7AZNvPFRzPEOD7wHTbHUXG0oPv2n7W9kpS0jys6IAyRwOX2F5l+2ngW6T7LaGfWrkJZTEpYQOpdwXpA6voP7Q3SG1+ZZ2kdvGi4yorj7teHh2y5rjr9ZJNjn0HcIbtfys6nsxo0hyuP06XF0OBIZKW2t6x0Mgqrn8a49ove6Pi5w3AmiICaXatXAN/ANhJ0mnZ2OLTScPXLqq926C7HzhB0uQsrkuABxqoBld1rPaCYwK4GPh8AyVvshrkVraH2x4OnA78tAGSN6QPuzMl7ZN9u5sBNMp7dx9wsaRtJe0GfAa4p+CYmlLLJnDbrwAfAj4NvET62nZs0QO/236YdNPrTmApqQ3w1CJjqlBrrPYi7Q98T1Jnbnmw6KAa2I3Ad9g4fv6jwL8UGVDODNK9lT+SZpK/3fbdxYbUnOJR+hBCaFItWwMPIYRWFwk8hBCaVCTwEEJoUpHAQwihSUUCDyGEJhUJPIQQmlQk8FAoSYdKWlh0HCE0o0jgoSU1wLDBIQy6SOChEQyRdG02c9Jzkt4naZikqyT9WdILkr6cjWdDNstMfuaZxZLeI2lCNlvP5cCyws4mhDqJBB4awTtIgy+NA24jDXt6LnAIaaz09wPHkMYE783bSIO07TQYgYbQSCKBh0bwGmm2nQ7gR8AE4CTSkKMv2V4MfJ2UxPviUttrByPQEBpJKw8nG5rH0twgY12k6/LtwLO5bZaRatfV5Csi621XDlcaQkuKGnhoBNVGVFtGmoy3rNzMAlAiu3azm5XbD2ZwITSqSOChUd0FfFnS9pJ2Bz7Lxkl5l5DmxAT4BGnWoBDaTiTw0Ki+TJq0eBFp/sTbbc/K1p0DTJP0JHAoMK+QCEMoWIwHHkIITSpq4CGE0KQigYcQQpOKBB5CCE0qEngIITSpSOAhhNCkIoGHEEKTigQeQghNKhJ4CCE0qUjgIYTQpP4/MGPYoK6PYScAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.4,0.41,0.01)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dthetadt_diffs_latlon_mean.T*3600., \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rthblten_diffs_latlon_mean.T*3600., \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rthcuten_diffs_latlon_mean.T*86400., \\\n", + " cmap='PuOr_r', levels=levels, extend='both')\n", + "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s=r'(a) $\\Delta$ d$\\theta$/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s=r'(b) $\\Delta$ d$\\theta$/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s=r'(c) $\\Delta$ d$\\theta$/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "# cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "# cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "# cbar_ax1.tick_params(labelsize=fontsize)\n", + "# #cbar1.add_lines(contour_line1)\n", + "# cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "# ax2pos = ax2.get_position()\n", + "# cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "# cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "# cbar_ax2.tick_params(labelsize=fontsize)\n", + "# cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('$\\degree$C hour$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.4,-.3,-.2,-.1,0,.1,.2,.3,.4])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dthetadt_day1.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 232, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-1,1.1,0.1)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dthetadt_400_latlon_mean.T*3600., \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rthblten_400_latlon_mean.T*3600., \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rthcuten_400_latlon_mean.T*86400., \\\n", + " cmap='PuOr_r', levels=levels, extend='both')\n", + "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s=r'(a) $\\Delta$ d$\\theta$/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s=r'(b) $\\Delta$ d$\\theta$/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s=r'(c) $\\Delta$ d$\\theta$/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "# cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "# cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "# cbar_ax1.tick_params(labelsize=fontsize)\n", + "# #cbar1.add_lines(contour_line1)\n", + "# cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "# ax2pos = ax2.get_position()\n", + "# cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "# cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "# cbar_ax2.tick_params(labelsize=fontsize)\n", + "# cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('$\\degree$C hour$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.5,-.4,-.3,-.2,-.1,0,.1,.2,.3,.4,.5])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dthetadt_background_day1.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 231, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-1,1.1,0.1)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dthetadt_1000_latlon_mean.T*3600., \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_1000_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_1000_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rthblten_1000_latlon_mean.T*3600., \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_1000_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rthcuten_1000_latlon_mean.T*861000., \\\n", + " cmap='PuOr_r', levels=levels, extend='both')\n", + "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_1000_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_1000_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s=r'(a) $\\Delta$ d$\\theta$/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s=r'(b) $\\Delta$ d$\\theta$/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s=r'(c) $\\Delta$ d$\\theta$/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "# cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "# cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "# cbar_ax1.tick_params(labelsize=fontsize)\n", + "# #cbar1.add_lines(contour_line1)\n", + "# cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "# ax2pos = ax2.get_position()\n", + "# cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "# cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "# cbar_ax2.tick_params(labelsize=fontsize)\n", + "# cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('$\\degree$C hour$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.5,-.4,-.3,-.2,-.1,0,.1,.2,.3,.4,.5])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dthetadt_background_phys_day1.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# dmsedt time series" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-19T22:02:50.947617Z", + "start_time": "2018-06-19T22:02:50.780354Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_dry_latlon = ptot_400_midpoints[:,:,dry_latlon_subset_midpoints]\n", + "\n", + "dmsedt_400_dry_latlon = dmsedt_400[:,:,dry_latlon_subset_midpoints]\n", + "dmsedt_1000_dry_latlon = dmsedt_1000[:,:,dry_latlon_subset_midpoints]\n", + "dmsedt_diff_dry_latlon = dmsedt_1000_dry_latlon-dmsedt_400_dry_latlon\n", + "\n", + "dmsedt_400_dry_latlon_areamean = numpy.nanmean(dmsedt_400_dry_latlon, axis=2)\n", + "dmsedt_diff_dry_latlon_areamean = numpy.nanmean(dmsedt_diff_dry_latlon, axis=2)\n", + "ptot_400_dry_latlon_areamean = numpy.nanmean(ptot_400_dry_latlon, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 186, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-26T00:28:20.136590Z", + "start_time": "2018-06-26T00:28:18.930926Z" + } + }, + "outputs": [], + "source": [ + "convergence_400_dry_latlon = convergence_400[:,:,dry_latlon_subset_midpoints]\n", + "convergence_1000_dry_latlon = convergence_1000[:,:,dry_latlon_subset_midpoints]\n", + "\n", + "advection_400_dry_latlon = advection_400[:,:,dry_latlon_subset_midpoints]\n", + "advection_1000_dry_latlon = advection_1000[:,:,dry_latlon_subset_midpoints]\n", + "\n", + "advection_diff_dry_latlon = advection_1000_dry_latlon-advection_400_dry_latlon\n", + "convergence_diff_dry_latlon = convergence_1000_dry_latlon-convergence_400_dry_latlon\n", + "\n", + "advection_400_dry_latlon_areamean = numpy.nanmean(advection_400_dry_latlon, axis=2)\n", + "convergence_400_dry_latlon_areamean = numpy.nanmean(convergence_400_dry_latlon, axis=2)\n", + "advection_diff_dry_latlon_areamean = numpy.nanmean(advection_diff_dry_latlon, axis=2)\n", + "convergence_diff_dry_latlon_areamean = numpy.nanmean(convergence_diff_dry_latlon, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-19T22:35:33.471860Z", + "start_time": "2018-06-19T22:35:33.432388Z" + } + }, + "outputs": [], + "source": [ + "xx_dmsedt, pp_dmsedt = numpy.meshgrid(numpy.arange(241), ptot_400_dry_latlon_areamean[0,:])" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-20T16:56:21.019765Z", + "start_time": "2018-06-20T16:56:19.460712Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 129, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(6.5,2))\n", + "\n", + "ax = fig.add_subplot(111)\n", + "ax.tick_params(labelsize=fontsize)\n", + "contour_plot = ax.pcolormesh(xx_dmsedt, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, vmin=-.05, vmax=.05)\n", + "\n", + "ax.set_ylim(1000,300)\n", + "#ax.set_xlim(0,240)\n", + "ax.set_xlim(0,84)\n", + "\n", + "ax.set_xlabel('hour', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "fig.colorbar(contour_plot)" + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-20T16:58:24.768605Z", + "start_time": "2018-06-20T16:58:23.229485Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 130, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(6.5,2))\n", + "\n", + "ax = fig.add_subplot(111)\n", + "ax.tick_params(labelsize=fontsize)\n", + "contour_plot = ax.pcolormesh(xx_dmsedt, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, vmin=-.25, vmax=.25)\n", + "\n", + "contour_line = ax.contour(xx_dmsedt, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax.set_ylim(1000,300)\n", + "ax.set_xlim(0,84)\n", + "\n", + "ax.set_xlabel('hour', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "fig.colorbar(contour_plot)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 177, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-25T23:44:38.269502Z", + "start_time": "2018-06-25T23:44:17.837898Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "# contour_plot1 = ax1.pcolormesh(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# cmap=cmocean.cm.balance_r, vmin=-.2, vmax=.2)\n", + "\n", + "levels = numpy.arange(-.15,.151,0.0125)\n", + "contour_plot1 = ax1.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1000,300)\n", + "ax1.set_xlim(0,24)\n", + "ax1.set_xticks([i for i in range(0,25,6)])\n", + "ax1.set_yticks([400,600,800,1000])\n", + "#ax1.set_xlabel('hour', fontsize=fontsize)\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "# contour_plot2 = ax2.pcolormesh(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_diff_dry_latlon_areamean.T, \\\n", + "# cmap=cmocean.cm.balance_r, vmin=-.05, vmax=.05)\n", + "\n", + "levels = numpy.arange(-0.05,0.051,0.01)\n", + "\n", + "contour_plot2 = ax2.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "contour_line2 = ax2.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1000,300)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(0,24)\n", + "#ax2.set_xlabel('hour', fontsize=fontsize)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(0,25,6)])\n", + "ax2.set_yticks([400,600,800,1000])\n", + "\n", + "ax2.add_patch(matplotlib.patches.Rectangle((12,700),8,-400, \\\n", + " fill=False, \\\n", + " edgecolor='0.1', lw=2, clip_on=False))\n", + "\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "levels = numpy.arange(-0.015,0.0151,0.0025)\n", + "contour_plot3 = ax3.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(700,300)\n", + "#ax.set_xlim(0,240)\n", + "ax3.set_xlim(12,20)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(12,21,2)])\n", + "ax3.set_yticks([300,400,500,600,700])\n", + "\n", + "ax1.text(s='(a) control dMSE/dt', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dMSE/dt', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ dMSE/dt zoom', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "cbar_ax1.tick_params(labelsize=fontsize)\n", + "cbar1.add_lines(contour_line1)\n", + "cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "cbar_ax2.tick_params(labelsize=fontsize)\n", + "cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax3pos.height])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.01,0,.01])\n", + "\n", + "conpatch = matplotlib.patches.ConnectionPatch(xyA=(12,300), \\\n", + " xyB=(12,700), \\\n", + " coordsA='data', \\\n", + " coordsB='data', \\\n", + " axesA=ax3, \\\n", + " axesB=ax2, \\\n", + " color='0.1')\n", + "ax3.add_artist(conpatch)\n", + "\n", + "conpatch = matplotlib.patches.ConnectionPatch(xyA=(20,300), \\\n", + " xyB=(20,700), \\\n", + " coordsA='data', \\\n", + " coordsB='data', \\\n", + " axesA=ax3, \\\n", + " axesB=ax2, \\\n", + " color='0.1')\n", + "\n", + "ax3.add_artist(conpatch)\n", + "\n", + "fig.savefig('manuscript_fig9_dmsedt_profile_first_1days.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#mean_dmsedt_24h = \n", + "\n", + "ptot_400_dry_latlon_areamean.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 197, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-29T18:15:23.705795Z", + "start_time": "2018-06-29T18:14:51.294321Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "# contour_plot1 = ax1.pcolormesh(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# cmap=cmocean.cm.balance_r, vmin=-.2, vmax=.2)\n", + "\n", + "levels = numpy.arange(-.15,.151,0.0125)\n", + "contour_plot1 = ax1.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1000,300)\n", + "ax1.set_xlim(0,240)\n", + "ax1.set_xticks([i for i in range(0,241,24)])\n", + "ax1.set_yticks([400,600,800,1000])\n", + "#ax1.set_xlabel('hour', fontsize=fontsize)\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "# contour_plot2 = ax2.pcolormesh(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_diff_dry_latlon_areamean.T, \\\n", + "# cmap=cmocean.cm.balance_r, vmin=-.05, vmax=.05)\n", + "\n", + "levels = numpy.arange(-0.05,0.051,0.01)\n", + "\n", + "contour_plot2 = ax2.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "contour_line2 = ax2.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1000,300)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(0,240)\n", + "#ax2.set_xlabel('hour', fontsize=fontsize)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(0,241,24)])\n", + "ax2.set_yticks([400,600,800,1000])\n", + "\n", + "# ax2.add_patch(matplotlib.patches.Rectangle((12,600),8,-300, \\\n", + "# fill=False, \\\n", + "# edgecolor='0.1', lw=2, clip_on=False))\n", + "\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "# contour_plot3 = ax3.pcolormesh(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_diff_dry_latlon_areamean.T, \\\n", + "# cmap=cmocean.cm.balance_r, vmin=-.05, vmax=.05)\n", + "\n", + "levels = numpy.arange(-0.015,0.0151,0.0025)\n", + "\n", + "contour_plot3 = ax3.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "\n", + "contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(700,300)\n", + "#ax.set_xlim(0,240)\n", + "ax3.set_xlim(0,240)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(0,241,24)])\n", + "ax3.set_yticks([300,400,500,600,700])\n", + "\n", + "\n", + "ax1.text(s='(a) control dMSE/dt', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dMSE/dt', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ dMSE/dt zoom', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "cbar_ax1 = fig.add_axes([ax1pos.x1+0.02, ax1pos.y0, 0.02, ax1pos.height])\n", + "cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "cbar_ax1.tick_params(labelsize=fontsize)\n", + "cbar1.add_lines(contour_line1)\n", + "cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax2 = fig.add_axes([ax2pos.x1+0.02, ax2pos.y0, 0.02, ax2pos.height])\n", + "cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "cbar_ax2.tick_params(labelsize=fontsize)\n", + "cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.02, ax3pos.y0, 0.02, ax3pos.height])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.01,0,.01])\n", + "\n", + "# conpatch = matplotlib.patches.ConnectionPatch(xyA=(0,300), \\\n", + "# xyB=(0,600), \\\n", + "# coordsA='data', \\\n", + "# coordsB='data', \\\n", + "# axesA=ax3, \\\n", + "# axesB=ax2, \\\n", + "# color='0.1')\n", + "# ax3.add_artist(conpatch)\n", + "\n", + "# conpatch = matplotlib.patches.ConnectionPatch(xyA=(120,300), \\\n", + "# xyB=(120,600), \\\n", + "# coordsA='data', \\\n", + "# coordsB='data', \\\n", + "# axesA=ax3, \\\n", + "# axesB=ax2, \\\n", + "# color='0.1')\n", + "\n", + "# ax3.add_artist(conpatch)\n", + "\n", + "fig.savefig('dmsedt_profile_first_10days.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 198, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-29T18:21:49.806779Z", + "start_time": "2018-06-29T18:20:54.771128Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,10))\n", + "\n", + "##################################################\n", + "ax1 = fig.add_subplot(511)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-.15,.151,0.0125)\n", + "contour_plot1 = ax1.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1000,300)\n", + "ax1.set_xlim(0,240)\n", + "ax1.set_xticks([i for i in range(0,241,24)])\n", + "ax1.set_yticks([400,600,800,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "##################################################\n", + "ax2 = fig.add_subplot(512)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.05,0.051,0.01)\n", + "contour_plot2 = ax2.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "contour_line2 = ax2.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1000,300)\n", + "ax2.set_xlim(0,240)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(0,241,24)])\n", + "ax2.set_yticks([400,600,800,1000])\n", + "\n", + "\n", + "##################################################\n", + "ax3 = fig.add_subplot(513)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.015,0.0151,0.0025)\n", + "contour_plot3 = ax3.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_diff_dry_latlon_areamean.T, \\\n", + " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(700,300)\n", + "ax3.set_xlim(0,240)\n", + "#ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(0,241,24)])\n", + "ax3.set_yticks([300,400,500,600,700])\n", + "\n", + "\n", + "##################################################\n", + "ax4 = fig.add_subplot(514)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.015,0.0151,0.0025)\n", + "contour_plot4 = ax4.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " advection_400_dry_latlon_areamean.T, \\\n", + " levels=levels, \\\n", + " cmap=cmocean.cm.balance_r, extend='both')\n", + "contour_line4 = ax4.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax4.set_ylim(1000,300)\n", + "ax4.set_xlim(0,240)\n", + "#ax4.set_xlabel('hour', fontsize=fontsize)\n", + "ax4.set_ylabel('hPa', fontsize=fontsize)\n", + "ax4.set_xticks([i for i in range(0,241,24)])\n", + "ax4.set_yticks([400,600,800,1000])\n", + "\n", + "\n", + "##################################################\n", + "ax5 = fig.add_subplot(515)\n", + "ax5.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.015,0.0151,0.0025)\n", + "contour_plot5 = ax5.contourf(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " convergence_400_dry_latlon_areamean.T, \\\n", + " levels=levels, \\\n", + " cmap=cmocean.cm.balance_r, extend='both')\n", + "contour_line5 = ax5.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + " dmsedt_400_dry_latlon_areamean.T, \\\n", + " levels=[0], linewidths=[1], colors='0.1')\n", + "ax5.set_ylim(1000,300)\n", + "ax5.set_xlim(0,240)\n", + "ax5.set_xlabel('hour', fontsize=fontsize)\n", + "ax5.set_ylabel('hPa', fontsize=fontsize)\n", + "ax5.set_xticks([i for i in range(0,241,24)])\n", + "ax5.set_yticks([400,600,800,1000])\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ax1.text(s='(a) control dMSE/dt', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dMSE/dt', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ dMSE/dt zoom', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ MSE advection', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "ax5.text(s='(e) $\\Delta$ MSE convergence', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "cbar_ax1 = fig.add_axes([ax1pos.x1+0.02, ax1pos.y0, 0.02, ax1pos.height])\n", + "cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "cbar_ax1.tick_params(labelsize=fontsize)\n", + "cbar1.add_lines(contour_line1)\n", + "cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax2 = fig.add_axes([ax2pos.x1+0.02, ax2pos.y0, 0.02, ax2pos.height])\n", + "cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "cbar_ax2.tick_params(labelsize=fontsize)\n", + "cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.02, ax3pos.y0, 0.02, ax3pos.height])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_ticks([-.01,0,.01])\n", + "\n", + "ax4pos = ax4.get_position()\n", + "cbar_ax4 = fig.add_axes([ax4pos.x1+0.02, ax4pos.y0, 0.02, ax4pos.height])\n", + "cbar4 = fig.colorbar(contour_plot4, cax=cbar_ax4)\n", + "cbar_ax4.tick_params(labelsize=fontsize)\n", + "cbar4.add_lines(contour_line4)\n", + "cbar4.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar4.set_ticks([-.01,0,.01])\n", + "\n", + "ax5pos = ax5.get_position()\n", + "cbar_ax5 = fig.add_axes([ax5pos.x1+0.02, ax5pos.y0, 0.02, ax5pos.height])\n", + "cbar5 = fig.colorbar(contour_plot5, cax=cbar_ax5)\n", + "cbar_ax5.tick_params(labelsize=fontsize)\n", + "cbar5.add_lines(contour_line5)\n", + "cbar5.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar5.set_ticks([-.01,0,.01])\n", + "\n", + "fig.savefig('dmsedt_profile_first_10days_with_advection_convergence_terms.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot climatological moisture advection/convergence" + ] + }, + { + "cell_type": "code", + "execution_count": 178, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-25T23:46:06.245740Z", + "start_time": "2018-06-25T23:45:49.151224Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(4.5,6))\n", + "\n", + "ax_list = []\n", + "\n", + "#####\n", + "ax = fig.add_subplot(221)\n", + "\n", + "ax.plot(advection_400_wet_region_day1*1000.*86400.,ptot_400_wet_region_midpoints/100., c='green', label='moist. adv.')\n", + "ax.plot(convergence_400_wet_region_day1*1000.*86400.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='moist. conv.')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-10,10)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('g kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(a)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(222)\n", + "\n", + "ax.plot(advection_400_dry_region_day1*1000.*86400.,ptot_400_wet_region_midpoints/100., c='green', label='mse\\nadvection')\n", + "ax.plot(convergence_400_dry_region_day1*1000.*86400.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='mse\\nconvergence')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-5,5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('g kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax_list.append(ax)\n", + "ax.text(s='Amazon\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(b)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "\n", + "#####\n", + "ax = fig.add_subplot(223)\n", + "\n", + "ax.plot(advection_400_wet_region*1000.*86400.,ptot_400_wet_region_midpoints/100., c='green', label='mse\\nadvection')\n", + "ax.plot(convergence_400_wet_region*1000.*86400.,ptot_400_wet_region_midpoints/100.,c='dodgerblue', label='mse\\nconvergence')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-10,10)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('g kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(c)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(224)\n", + "\n", + "ax.plot(advection_400_dry_region*1000.*86400.,ptot_400_dry_region_midpoints/100., c='green', label='mse\\nadvection')\n", + "ax.plot(convergence_400_dry_region*1000.*86400.,ptot_400_dry_region_midpoints/100.,c='dodgerblue', label='mse\\nconvergence')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-5,5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('g kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax.text(s='Amazon\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(d)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=1)\n", + "\n", + "handles, labels = ax_list[1].get_legend_handles_labels()\n", + "legend = ax_list[1].legend(handles, labels, fontsize=fontsize, bbox_to_anchor=(1.05,1), edgecolor='None', \\\n", + " facecolor='None', fancybox=False, bbox_transform=ax_list[1].transAxes, loc='upper left', \\\n", + " borderaxespad=0., borderpad=0.25, handlelength=1.0, handletextpad=0.5, \\\n", + " columnspacing=0.5, markerscale=1)\n", + "\n", + "fig.savefig('manuscript_figXX_climatological_mse_budget_TOTAL_10d_and_day1.png', dpi=600, \\\n", + " transparent=True, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot individual conv, div, dmsedt terms" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-17T04:26:02.610731Z", + "start_time": "2018-06-17T04:25:43.565001Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(4.5,6))\n", + "\n", + "ax_list = []\n", + "\n", + "#####\n", + "ax = fig.add_subplot(221)\n", + "\n", + "ax.plot(diff_wet_region_adv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moist. adv.')\n", + "ax.plot(diff_wet_region_conv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='moist. conv.')\n", + "ax.plot(diff_wet_region_dmsedt_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='0.5', label='dmse/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(a)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(222)\n", + "\n", + "ax.plot(diff_dry_region_adv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='mse\\nadvection')\n", + "ax.plot(diff_dry_region_conv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='mse\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='0.5', label='dmse/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax_list.append(ax)\n", + "ax.text(s='Amazon\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(b)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "\n", + "#####\n", + "ax = fig.add_subplot(223)\n", + "\n", + "ax.plot(diff_wet_region_adv*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='mse\\nadvection')\n", + "ax.plot(diff_wet_region_conv*86400./1000.,ptot_400_wet_region_midpoints/100.,c='dodgerblue', label='mse\\nconvergence')\n", + "ax.plot(diff_wet_region_dmsedt*86400./1000.,ptot_400_wet_region_midpoints/100.,c='0.5', label='dmse/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(c)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(224)\n", + "\n", + "ax.plot(diff_dry_region_adv*86400./1000.,ptot_400_dry_region_midpoints/100., c='green', label='mse\\nadvection')\n", + "ax.plot(diff_dry_region_conv*86400./1000.,ptot_400_dry_region_midpoints/100.,c='dodgerblue', label='mse\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt*86400./1000.,ptot_400_dry_region_midpoints/100.,c='0.5',label='dmse/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax.text(s='Amazon\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(d)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=1)\n", + "\n", + "handles, labels = ax_list[1].get_legend_handles_labels()\n", + "legend = ax_list[1].legend(handles, labels, fontsize=fontsize, bbox_to_anchor=(1.05,1), edgecolor='None', \\\n", + " facecolor='None', fancybox=False, bbox_transform=ax_list[1].transAxes, loc='upper left', \\\n", + " borderaxespad=0., borderpad=0.25, handlelength=1.0, handletextpad=0.5, \\\n", + " columnspacing=0.5, markerscale=1)\n", + "\n", + "fig.savefig('manuscript_figXX_mean_mse_budget_TOTAL_10d_and_day1.png', dpi=600, \\\n", + " transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-17T04:26:11.992475Z", + "start_time": "2018-06-17T04:26:02.634271Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(4.5,3))\n", + "\n", + "ax_list = []\n", + "\n", + "#####\n", + "ax = fig.add_subplot(121)\n", + "\n", + "ax.plot(diff_wet_region_adv*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_wet_region_conv*86400./1000.,ptot_400_wet_region_midpoints/100.,c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_wet_region_dmsedt*86400./1000.,ptot_400_wet_region_midpoints/100.,c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(a)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(122)\n", + "\n", + "ax.plot(diff_dry_region_adv*86400./1000.,ptot_400_dry_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_dry_region_conv*86400./1000.,ptot_400_dry_region_midpoints/100.,c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt*86400./1000.,ptot_400_dry_region_midpoints/100.,c='0.5',label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax.text(s='Amazon\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(b)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=1)\n", + "\n", + "handles, labels = ax_list[1].get_legend_handles_labels()\n", + "legend = ax_list[1].legend(handles, labels, fontsize=fontsize, bbox_to_anchor=(1.05,1), edgecolor='None', \\\n", + " facecolor='None', fancybox=False, bbox_transform=ax_list[1].transAxes, loc='upper left', \\\n", + " borderaxespad=0., borderpad=0.25, handlelength=1.0, handletextpad=0.5, \\\n", + " columnspacing=0.5, markerscale=1)\n", + "\n", + "fig.savefig('manuscript_figXX_mean_mse_budget_TOTAL_10d_ONLY.png', dpi=600, \\\n", + " transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Do same for vertical terms" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": { + "ExecuteTime": { + "end_time": "2018-06-17T04:28:30.712447Z", + "start_time": "2018-06-17T04:28:12.945972Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(4.5,6))\n", + "\n", + "ax_list = []\n", + "\n", + "#####\n", + "ax = fig.add_subplot(221)\n", + "\n", + "ax.plot(diff_wet_region_vert_adv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moist. adv.')\n", + "ax.plot(diff_wet_region_vert_conv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='moist. conv.')\n", + "ax.plot(diff_wet_region_dmsedt_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(a)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(222)\n", + "\n", + "ax.plot(diff_dry_region_vert_adv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_dry_region_vert_conv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax_list.append(ax)\n", + "ax.text(s='Amazon\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(b)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "\n", + "#####\n", + "ax = fig.add_subplot(223)\n", + "\n", + "ax.plot(diff_wet_region_vert_adv*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_wet_region_vert_conv*86400./1000.,ptot_400_wet_region_midpoints/100.,c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_wet_region_dmsedt*86400./1000.,ptot_400_wet_region_midpoints/100.,c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(c)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(224)\n", + "\n", + "ax.plot(diff_dry_region_vert_adv*86400./1000.,ptot_400_dry_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_dry_region_vert_conv*86400./1000.,ptot_400_dry_region_midpoints/100.,c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt*86400./1000.,ptot_400_dry_region_midpoints/100.,c='0.5',label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax.text(s='Amazon\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(d)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=1)\n", + "\n", + "handles, labels = ax_list[1].get_legend_handles_labels()\n", + "legend = ax_list[1].legend(handles, labels, fontsize=fontsize, bbox_to_anchor=(1.05,1), edgecolor='None', \\\n", + " facecolor='None', fancybox=False, bbox_transform=ax_list[1].transAxes, loc='upper left', \\\n", + " borderaxespad=0., borderpad=0.25, handlelength=1.0, handletextpad=0.5, \\\n", + " columnspacing=0.5, markerscale=1)\n", + "\n", + "axpos1 = ax_list[0].get_position()\n", + "axpos2 = ax_list[1].get_position()\n", + "\n", + "fig.text(s='vertical terms', x=0.5*(axpos1.x0+axpos2.x1), y=1.02, transform=fig.transFigure, ha='center', va='bottom', fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figXX_mean_mse_budget_VERTICAL_10d_and_day1.png', dpi=600, \\\n", + " transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# horizontal terms" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:35:56.630925Z", + "start_time": "2018-05-30T22:35:53.086002Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(4.5,6))\n", + "\n", + "ax_list = []\n", + "\n", + "#####\n", + "ax = fig.add_subplot(221)\n", + "\n", + "ax.plot(diff_wet_region_horiz_adv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moist. adv.')\n", + "ax.plot(diff_wet_region_horiz_conv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='moist. conv.')\n", + "ax.plot(diff_wet_region_dmsedt_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(a)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(222)\n", + "\n", + "ax.plot(diff_dry_region_horiz_adv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_dry_region_horiz_conv_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt_day1*86400./1000.,ptot_400_wet_region_midpoints/100., c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax_list.append(ax)\n", + "ax.text(s='Amazon\\nday 1', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(b)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "\n", + "#####\n", + "ax = fig.add_subplot(223)\n", + "\n", + "ax.plot(diff_wet_region_horiz_adv*86400./1000.,ptot_400_wet_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_wet_region_horiz_conv*86400./1000.,ptot_400_wet_region_midpoints/100.,c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_wet_region_dmsedt*86400./1000.,ptot_400_wet_region_midpoints/100.,c='0.5', label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-1.5,1)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='Andes\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(c)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "#####\n", + "ax = fig.add_subplot(224)\n", + "\n", + "ax.plot(diff_dry_region_horiz_adv*86400./1000.,ptot_400_dry_region_midpoints/100., c='green', label='moisture\\nadvection')\n", + "ax.plot(diff_dry_region_horiz_conv*86400./1000.,ptot_400_dry_region_midpoints/100.,c='dodgerblue', label='moisture\\nconvergence')\n", + "ax.plot(diff_dry_region_dmsedt*86400./1000.,ptot_400_dry_region_midpoints/100.,c='0.5',label='dq/dt')\n", + "ax.axvline(0, ls='--', c='0.1', zorder=1)\n", + "ax.set_ylim(1000,200)\n", + "#ax.set_xlim(-0.75,0.5)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_yticklabels([])\n", + "ax.text(s='Amazon\\ndays 2–10', x=0.05, y=0.95, ha='left', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='(d)', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.yaxis.grid()\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=1)\n", + "\n", + "handles, labels = ax_list[1].get_legend_handles_labels()\n", + "legend = ax_list[1].legend(handles, labels, fontsize=fontsize, bbox_to_anchor=(1.05,1), edgecolor='None', \\\n", + " facecolor='None', fancybox=False, bbox_transform=ax_list[1].transAxes, loc='upper left', \\\n", + " borderaxespad=0., borderpad=0.25, handlelength=1.0, handletextpad=0.5, \\\n", + " columnspacing=0.5, markerscale=1)\n", + "\n", + "axpos1 = ax_list[0].get_position()\n", + "axpos2 = ax_list[1].get_position()\n", + "\n", + "fig.text(s='horizontal terms', x=0.5*(axpos1.x0+axpos2.x1), y=1.02, transform=fig.transFigure, ha='center', va='bottom', fontsize=fontsize)\n", + "\n", + "fig.savefig('manuscript_figXX_mean_mse_budget_HORIZONTAL_10d_and_day1.png', dpi=600, \\\n", + " transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# lat subsets and latmeans" + ] + }, + { + "cell_type": "code", + "execution_count": 125, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:36:56.740597Z", + "start_time": "2018-05-30T22:36:56.050145Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_midpoints_lat_subset = ptot_400_midpoints[:,:,lat_indices_midpoints[:,0],:]\n", + "ptot_1000_midpoints_lat_subset = ptot_1000_midpoints[:,:,lat_indices_midpoints[:,0],:]" + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:37:05.799133Z", + "start_time": "2018-05-30T22:37:04.841477Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_lat_subset = ptot_400[:,:,lat_indices[:,0],:]\n", + "ptot_1000_lat_subset = ptot_1000[:,:,lat_indices[:,0],:]" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:37:15.025900Z", + "start_time": "2018-05-30T22:37:14.249742Z" + } + }, + "outputs": [], + "source": [ + "advection_400_lat_subset = advection_400[:,:,lat_indices_midpoints[:,0],:]\n", + "advection_1000_lat_subset = advection_1000[:,:,lat_indices_midpoints[:,0],:]\n", + "\n", + "convergence_400_lat_subset = convergence_400[:,:,lat_indices_midpoints[:,0],:]\n", + "convergence_1000_lat_subset = convergence_1000[:,:,lat_indices_midpoints[:,0],:]" + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:38:06.444073Z", + "start_time": "2018-05-30T22:37:23.641082Z" + } + }, + "outputs": [], + "source": [ + "cont_adv_latmean = numpy.nanmean(advection_400_lat_subset, axis=2)\n", + "phys_adv_latmean = numpy.nanmean(advection_1000_lat_subset, axis=2)\n", + "\n", + "cont_conv_latmean = numpy.nanmean(convergence_400_lat_subset, axis=2)\n", + "phys_conv_latmean = numpy.nanmean(convergence_1000_lat_subset, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:38:16.648532Z", + "start_time": "2018-05-30T22:38:15.116364Z" + } + }, + "outputs": [], + "source": [ + "dmsedt_400_lat_subset = dmsedt_400[:,:,lat_indices_midpoints[:,0],:]\n", + "dmsedt_1000_lat_subset = dmsedt_1000[:,:,lat_indices_midpoints[:,0],:]" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:38:48.150834Z", + "start_time": "2018-05-30T22:38:44.658106Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_latmean = numpy.nanmean(ptot_400_lat_subset, axis=2)\n", + "ptot_1000_latmean = numpy.nanmean(ptot_1000_lat_subset, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 133, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:39:00.635622Z", + "start_time": "2018-05-30T22:38:57.360855Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_midpoints_latmean = numpy.nanmean(ptot_400_midpoints_lat_subset, axis=2)\n", + "ptot_1000_midpoints_latmean = numpy.nanmean(ptot_1000_midpoints_lat_subset, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:39:14.660202Z", + "start_time": "2018-05-30T22:39:09.573412Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", + " \"\"\"Entry point for launching an IPython kernel.\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + } + ], + "source": [ + "dmsedt_400_latmean = numpy.nanmean(dmsedt_400_lat_subset, axis=2)\n", + "dmsedt_1000_latmean = numpy.nanmean(dmsedt_1000_lat_subset, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 135, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:39:25.402176Z", + "start_time": "2018-05-30T22:39:23.445710Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_midpoints_lat_subset = ptot_400_midpoints[:,:,lat_indices_midpoints[:,0],:]\n", + "ptot_400_midpoints_latmean = numpy.nanmean(ptot_400_midpoints_lat_subset, axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:39:34.377567Z", + "start_time": "2018-05-30T22:39:34.371094Z" + } + }, + "outputs": [], + "source": [ + "xx,zz=numpy.meshgrid(xlong[0,:],ptot_400[0,:,:,0].mean(axis=1))" + ] + }, + { + "cell_type": "code", + "execution_count": 137, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:39:43.406345Z", + "start_time": "2018-05-30T22:39:43.356529Z" + } + }, + "outputs": [], + "source": [ + "diff_adv_latmean = phys_adv_latmean-cont_adv_latmean\n", + "diff_conv_latmean = phys_conv_latmean-cont_conv_latmean\n", + "diff_dmsedt_latmean = dmsedt_1000_latmean-dmsedt_400_latmean" + ] + }, + { + "cell_type": "code", + "execution_count": 138, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:39:55.275169Z", + "start_time": "2018-05-30T22:39:52.420913Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", + " \n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", + " This is separate from the ipykernel package so we can avoid doing imports until\n" + ] + } + ], + "source": [ + "wa_diffs_lat_subset = wa_diffs_landmask[:,:,lat_indices[:,0],:]\n", + "wa_diffs_latmean = numpy.nanmean(wa_diffs_lat_subset, axis=2)\n", + "wa_diffs_time_latmean = numpy.nanmean(wa_diffs_latmean[24:,:,:], axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:40:04.492103Z", + "start_time": "2018-05-30T22:40:04.463861Z" + } + }, + "outputs": [], + "source": [ + "ptot_400_time_latmean = numpy.nanmean(ptot_400_latmean, axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# gridspec version of plot" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:38:27.719763Z", + "start_time": "2018-05-30T22:38:27.135202Z" + } + }, + "source": [ + "fontsize=12\n", + "\n", + "fig = mp.figure(figsize=(6.5,7))\n", + "gs = matplotlib.gridspec.GridSpec(3,2,height_ratios=[2,1,3])\n", + "\n", + "xticks_deg_E=numpy.array((280,290,300,310,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "ax_a = mp.subplot(gs[0,:])\n", + "ax_b = mp.subplot(gs[1,:])\n", + "ax_c = mp.subplot(gs[2,0])\n", + "ax_d = mp.subplot(gs[2,1])\n", + "#ax_e = mp.subplot(gs[3,0])\n", + "#ax_f = mp.subplot(gs[3,1])\n", + "\n", + "ax_list = [ax_a,ax_b,ax_c,ax_d]#,ax_e,ax_f]\n", + "\n", + "\n", + "levels = numpy.arange(-.2,.21,0.025)\n", + "contour_plot = ax_a.contourf(xx+360., ptot_400_time_latmean/100., \\\n", + " wa_diffs_time_latmean*86400./1000., \\\n", + " levels=levels, \\\n", + " cmap='RdBu', \\\n", + " extend='both')\n", + "ax_a.tick_params(labelsize=fontsize)\n", + "ax_a.set_ylim(1013.25,100)\n", + "ax_a.set_xlim(279,321)\n", + "ax_a.text(s='(a) Mean $\\Delta w$ (days 2–10)',\\\n", + " x=0, y=1.01, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax_a.transAxes)\n", + "ax_a.set_xticks(xticks_deg_E)\n", + "ax_a.set_xticklabels(xticks_format)\n", + "ax_a.set_ylabel('hPa', fontsize=fontsize)\n", + "ax_a.set_facecolor('0.1')\n", + "ax_a.fill_between(x=[wet_lon_lo_degE,wet_lon_hi_degE], y1=ax_a.get_ylim()[0], y2=ax_a.get_ylim()[1],\\\n", + " facecolor='None', edgecolor='0.1',\n", + " hatch='/', alpha=0.5)\n", + "ax_a.fill_between(x=[dry_lon_lo_degE,dry_lon_hi_degE], y1=ax_a.get_ylim()[0], y2=ax_a.get_ylim()[1],\\\n", + " facecolor='None', edgecolor='0.1',\n", + " hatch='\\\\', alpha=0.5)\n", + "ax_a.text(s='Andes\\nregion',x=wet_lon_hi_degE+0.5, y=600, ha='left',va='top',fontsize=fontsize,color='0.1')\n", + "ax_a.text(s='Amazon\\nregion',x=dry_lon_hi_degE+0.5, y=400, ha='left',va='top',fontsize=fontsize,color='0.1')\n", + "\n", + "\n", + "ax_b.plot(360+xlong[0,:],pandas.Series(raintot_diffs_latmean_day1*24).rolling(window=3, center=True).mean().values, c='coral', label='day 1')\n", + "ax_b.plot(360+xlong[0,:],pandas.Series(raintot_diffs_latmean_day2_10*24).rolling(window=3, center=True).mean().values, c='firebrick', label='days 2–10')\n", + "ax_b.axhline(0, c='0.1', ls='--')\n", + "ax_b.set_xlim(279,321)\n", + "ax_b.set_ylim(-1.6,1.1)\n", + "ax_b.set_yticks([-1,0,1])\n", + "ax_b.set_xticks(xticks_deg_E)\n", + "ax_b.set_xticklabels(xticks_format)\n", + "ax_b.tick_params(labelsize=fontsize)\n", + "ax_b.text(s='(b) $\\Delta$ precipitation',\\\n", + " x=0, y=1.01, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax_b.transAxes)\n", + "ax_b.set_ylabel('mm day$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "ax=ax_c\n", + "ax.plot(wa_diff_wet_region*86400./1000.,ptot_400_wet_region/100., c='firebrick')\n", + "ax.plot(wa_diff_wet_region_day1*86400./1000.,ptot_400_wet_region/100., c='coral')\n", + "ax.axvline(0, ls='--', c='0.1')\n", + "ax.set_ylim(1000,100)\n", + "ax.set_xlim(-.25,.15)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('km day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='(c) Andes region', x=0., y=1.01, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "#ax.text(s='Andes', x=0.97, y=0.97, ha='right', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.set_yticks(numpy.arange(1000,99,-200))\n", + "ax.set_xticks([-.1,0,.1])\n", + "\n", + "ax=ax_d\n", + "ax.plot(wa_diff_dry_region_day1*86400/1000.,ptot_400_dry_region/100., c='coral', label='$\\Delta w$ (day 1)')\n", + "ax.plot(wa_diff_dry_region*86400/1000.,ptot_400_dry_region/100., c='firebrick', label='$\\Delta w$ (days 2–10)')\n", + "ax.axvline(0, ls='--', c='0.1')\n", + "#ax.axhline(860, ls='--', c='0.1')\n", + "ax.set_ylim(1000,100)\n", + "ax.set_xlim(-.15,.25)\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_xlabel('km day$^{\\,-1}$', fontsize=fontsize)\n", + "#ax.set_ylabel('hPa', fontsize=fontsize)\n", + "ax.text(s='(d) Amazon region', x=0., y=1.01, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "#ax.text(s='Amazon', x=0.97, y=0.97, ha='right', va='top', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.set_yticks(numpy.arange(1000,99,-200))\n", + "ax.set_xticks([-.1,0,.1])\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax_pos = ax_a.get_position()\n", + "cbar_ax = fig.add_axes([ax_pos.x1+0.025, ax_pos.y0, 0.02, ax_pos.height])\n", + "cbar = fig.colorbar(contour_plot, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('km day$^{\\,-1}$', fontsize=fontsize)\n", + "cbar.set_ticks(levels[0::4])\n", + "\n", + "handles, labels = ax_b.get_legend_handles_labels()\n", + "ax_b.legend(handles, labels, fontsize=fontsize, scatterpoints=1, bbox_to_anchor=(1.025,1.), \\\n", + " bbox_transform=ax_b.transAxes, loc='upper left', borderaxespad=0, labelspacing=0.25, \\\n", + " fancybox=False, edgecolor='0', framealpha=0, borderpad=0.25, \\\n", + " handletextpad=0.5, markerscale=1, handlelength=1.25)\n", + "\n", + "ax_pos = ax_c.get_position()\n", + "ax_c_in = fig.add_axes([ax_pos.x0,ax_pos.y0+0.2*ax_pos.height,0.35*ax_pos.width,0.7*ax_pos.height])#, frameon=False)\n", + "ax_c_in.plot(wa_400_dry*86400./1000.,ptot_400_wet_region/100., c='0.25', label='10d mean')\n", + "ax_c_in.tick_params(labelsize=fontsize)\n", + "ax_c_in.tick_params(axis='x', pad=0)\n", + "ax_c_in.set_ylim(1000,100)\n", + "ax_c_in.yaxis.tick_right()\n", + "ax_c_in.axvline(0, lw=0.5, color='0.25', ls='-')\n", + "ax_c_in.set_xticks([0.,.2])\n", + "ax_c_in.set_xticklabels(['0','0.2'])\n", + "#ax_c_in.set_xlabel('mm day$^{\\,-1}$', fontsize=fontsize)\n", + "#ax_c_in.text(s='$w$ clim.', x=1., y=1.02, ha='right', va='bottom', transform=ax_c_in.transAxes, fontsize=fontsize)\n", + "\n", + "ax_pos = ax_d.get_position()\n", + "ax_d_in = fig.add_axes([ax_pos.x0+ax_pos.width*0.65,ax_pos.y0+0.2*ax_pos.height,0.35*ax_pos.width,0.7*ax_pos.height])#, frameon=False)\n", + "ax_d_in.plot(wa_400_wet*86400./1000.,ptot_400_wet_region/100., c='0.25', label='$w$ climatology')\n", + "ax_d_in.tick_params(labelsize=fontsize)\n", + "ax_d_in.tick_params(axis='x', pad=0)\n", + "ax_d_in.set_ylim(1000,100)\n", + "#ax_d_in.set_xlabel('mm day$^{\\,-1}$', fontsize=fontsize)\n", + "#ax_d_in.text(s='$w$ clim.', x=0, y=1.02, ha='left', va='bottom', transform=ax_d_in.transAxes, fontsize=fontsize, label='$w$ clim.\\n(days 2–10)')\n", + "ax_d_in.axvline(0, lw=0.5, color='0.25', ls='-')\n", + "\n", + "\n", + "h_out, l_out=ax_d.get_legend_handles_labels()\n", + "h_in, l_in = ax_d_in.get_legend_handles_labels()\n", + "ax_d.legend(h_out+h_in, l_out+l_in, fontsize=fontsize, scatterpoints=1, bbox_to_anchor=(1.05,1.), \\\n", + " bbox_transform=ax_d.transAxes, loc='upper left', borderaxespad=0, labelspacing=0.25, \\\n", + " fancybox=False, edgecolor='0', framealpha=0, borderpad=0.25, \\\n", + " handletextpad=0.5, markerscale=1, handlelength=1.25)\n", + "\n", + "fig.savefig('manuscript_fig4_winds_precip.png', dpi=600, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Plot dmsedt and moisture convergence in lat means" + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:46:33.738939Z", + "start_time": "2018-05-30T22:46:33.707410Z" + } + }, + "outputs": [], + "source": [ + "dmsedt_diff_latmean = dmsedt_1000_latmean - dmsedt_400_latmean" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:46:43.178764Z", + "start_time": "2018-05-30T22:46:43.171944Z" + } + }, + "outputs": [], + "source": [ + "xx_midpoints = 0.5*(xx[1:,1:]+xx[:-1,:-1])\n", + "\n", + "ptot_400_time_latmean_midpoints = 0.5*(ptot_400_time_latmean[1:,1:]+\\\n", + " ptot_400_time_latmean[:-1,:-1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# dmsedt and convergence terms on day 1" + ] + }, + { + "cell_type": "code", + "execution_count": 143, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:48:13.302340Z", + "start_time": "2018-05-30T22:48:08.445616Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "xlong_min = -154.76123\n", + "xlong_max = -25.238678\n", + "\n", + "levels = numpy.arange(-3,3.1,0.5)\n", + "\n", + "fig = mp.figure(figsize=(6.5,3.5))\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "ax_list = []\n", + "\n", + "hour1 = 13\n", + "hour1_string = hour1-4+1\n", + "\n", + "hour2 = 14\n", + "hour2_string = hour2-4+1\n", + "\n", + "ax = fig.add_subplot(221)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " dmsedt_diff_latmean[hour1,:,:]*86400./1000., cmap='RdBu',\\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(a) dq/dt for hour '+'{:02d}'.format(hour1_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(222)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_conv_latmean[hour1,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(b) moist. converg. for hour '+'{:02d}'.format(hour1_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(223)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " dmsedt_diff_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(c) dq/dt for hour '+'{:02d}'.format(hour2_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(224)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_conv_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(d) moist. converg. for hour '+'{:02d}'.format(hour2_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "axpos_bl = ax_list[2].get_position()\n", + "axpos_br = ax_list[3].get_position()\n", + "\n", + "cbar_ax = fig.add_axes([axpos_bl.x0, axpos_bl.y0-0.175, axpos_br.x1-axpos_bl.x0, 0.045])\n", + "cbar = fig.colorbar(contour_plot, cax=cbar_ax, orientation='horizontal')\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('kJ kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "fig.savefig('dmsedt_and_mse_convergence_hours_'+\\\n", + " '{:02d}'.format(hour1_string)+\\\n", + " 'and'+'{:02d}'.format(hour2_string)+'.png',\\\n", + " dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 144, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:48:28.906857Z", + "start_time": "2018-05-30T22:48:25.726023Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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M99jEvcuEUasPM1m1YtIya6r6YczWNP7xBzArbtSiyVpGbK7NJ6tPKo8y3mWR/paycembB9l2XhuWTUbSieVLMwzbu4QRWRqv6Gi1qnTxIkKDGPpCkTh1He80sUzDF8YFc/bonVhGuqUPBWykGmUcmS7Lpn7OcYiMBV0LVhTISCSb2KJWj5HwMLsm1kzDdGFoRQZ7RIPvN1PJfoo+a1dpUmdQXV/67vucf6JgjjhlDGTlhi2tG0Xe4J2usMJb5L5p8zfLYtM2Cno9+lxg9olRTaem7GMYzz+lBXMYCT6qmbwppq2ZvAZ30wJTJbymRDMy3kx1+w0xldJkSgnmuNX823yeaWuWtiZuoXDLkjYoqM/vuM9xi0T6Rh+FeCwEs48JG6KNeI7KszdNkeduQpgjkchw6GMFcywEc5gM86XWEcuseHctNG2Ivn0G+z+r77bMykBp9GXARKRdhmHvTa5pOy4M61mjYE4x/IUE2iwA0kRkx7wjg8e7psg0lDhVpV8UXSEq73dTmVEX1ibjXzZfRMGswbgZYajfsqq32UePq+jAHrvoQRmxjMI6fMbBHss8wzg8L0wevd/n54qCWZE+v9Q0hlGo+8Jpvcth1XLzRDMKX2Qq0rcKbp3ytc153CMnmG0XtKPeXFGVLE+yjJeZln556Vom3dt6R3XFMuv3o1jBikxNyubVOnm7b0Kdx8gJZhvUWVw8EolEyjJuFai+lJ9tp+uUF8xxy7hVqNNPWaeGWOb3bRtkbIodDfpSMI86Uykdm3zWkRLMrvc+azOMrinbqb75jpsauVfoe1nKZviyFYAqYjmKeWCUmEoFel2mel7sMq+MlGD2kS4XVa5qGH3rJ6jaz9kk0aMcPaa6MIw7o7BUaS3BFJELRGStiDwhIteLyOFi+KSIPCoi60TkLc7180XkRhHZIiJLRGRh0XtFY2mHot5Y04sZVBVxP4MXDSdtdGyVePQ5L3Zpk1ONNt77uHvS4/Z8lQVTRI4DzgdOBPYGlgAXA28CTgKOAH4J+IiIHJ387EvADcAzgSuBK8rcc9wSvyxdPb9tji3aLNtmP6T7G/dzqP/TD99fIOG65Q+Wvn8VhpVPh2GTIdqqUIyb/Rd5nrjVXXG6SKs6HuZTgLJzE+pdgEeA04CPq+p9qno3xgBPEZEDgaOBi1T1MeATwMEicniNODTCsAyxqNDUfdFlJ+HPWHT8wP8ihJ7F9ers+VBa120yDs31tGJZRzSbWgmpw0Jt5GwyFviDjFulYNyYnn9JGFW9VUS+CdyTHNoCLAJuBm53Ll2Gqd0eBSxX1Z8lv98hIiuAQ4AVWffaLpWjCcQabxV8sSyynJ0rXFYs7X93rdaVG7YMiKl7zt0RPi19QwK7csOW1EpBliCPU19mlzbZV+IUsUiIpjSgTpPsq4BfB14APAO4DPgKsBfwqHPp48kx/7h7LhT+OSJyq4jc+vDDG6pGsxXKGGQTA276VADYuGQ9V1Z/oS+W7jn3HqHmV7cZ9pa1myb+QvFL4xUL9808n0efPaI2bbLP9jjVaaJ8aKvi2JcN5ZuiTpPs64DLVfV2VX0CeDdwTHLOTf0ZwEZgk3fcPTcJVb1EVY9R1WP23ntOJwvudilMtuDv2wjWrrhu+YMTf1b00jxHH18ks37vUlcsfXpo9K3ZpG+PbdPDtB05Rj0NuyiPu1x8fbP3fTumD+UOwG2/OwK4E1gJLBSRaQDJ/wXAXTXiMDSKvsymam5NZR4/g3S1c4jrEWb1I7qilyWWVmwjA/TCJtsq6EZdALqi7xupF6FtsayaPnUE82rgNBF5gYjsAXwIuBa4FHiHiMxORu29Efiaqv4U07dyfnL9+4GlqnpfjTiMFF16k00ZjDuApixZorZq5YaJP5jsNYaaXl2xdO/h/75PTdgdMzSbbDrNmxhB2vT9ImHqpF2bYwjyytsq+aeyYKrq94H3AP8MrAcOB84G/hZTo70XM0z97ar6k+RnZwC/hRm59yrgzKr3r0vfamBNimnZZ0sTxLTjRfovQ6JmP1uRDJ13ww/1ddprXbF1f5831aQKbe6c0CSjaJNZ7yeK2NRMg9Azt5kOZcKuNfxUVb8IfDFw6g+SP//6e4Dj6tyzaeLqMoYd846cWJwgTSjT0io0EtbHF8X1y24DYL/nLh4Ip0gYvuAW/X0ZQkLXt0pWiHGwyVEnNFK3zujdrsqopssnd8T7sMgaPV+FKb003rBeZtW1Vvs+QCjkXfqsWrmB9ctu48mH1gA7hdMPw++rdMVy/bLbJn4X8jJh8khbS1OCWoRhFxZTiVHzxNIW5HCpkn/6kA5F4x26Liv+TdhT3fSZ0oI5LKrMFyxzTRp5Ga7sXMuy+J6hFc1VKzcMCF6W8LoC64tmX+lDITYOdJ2OTd4v5oF0yi6sUpc676LeigBTnKbd/SZJ6wdoQjRd0uZcQljIXO8SrGgunnSdH8b8BXMmPtvf77nPvIFrXYF130tWHKFYc1lT3mIsONvD5u+4eEE2XaTPuKb/SHqYZQqvvjaL2QLdrV1liW8Zzy5vIEVeZrbX+H+WtEUDIL+fMYT1FLMGB/liaT/neZlFRsqNq3FH6lG27Gi6rGkiX8ZBVc0ycoLZNwGs04xaxjsNXVtnA+c0UUxb4DxrlZ6i+P2VLml9kUV/33di4RRpir6VgVn0Nd9XjdeUbpKt8zLLClVe822dpt1Q2DZ+7vHQMf9cWviQPc2jKK6HmEZo6kkIv0m2KEXSuqkRfkUGd0TK0wfRcN+njU8f4pVHn5pjh93CU/beU1owi+C/0GG/4LIUXW7OkuVBFhXHNgfh7LnPvAHRtdNS5i8IL9dmxbHJKSeRyLBpcsqGX561OR2kybDLlsVNlNsjK5hdC1fWS27Te0wLKzQ1pcx9mhDGplm1ckOq8PmU9S6bFstRqjRFhktbeSVNfPow/3FcGVnB7JJRy3xuE6orFHn9j65Q5nmJRYXN0mT/oxVLd9EDMIurHzt3ZuGKg1vpSmuutudHLQ+MG1WXyrPiMdUqOOMomm3P0SzC2AtmnYzTxUtossnX9TLLiKPFFcksgdvvuYsnCaoVUP/4+mW3TRK2LMp4mf6901gwZ4/M/ts0/P7HcSuARhm/IjPV303VcmMqVSSaqDiN3CjZmCl2kja1I+1aS5pY2hV07FxJ+2dJW53H/j6NLPENNa0W6QPN67v0yZocXXQAV2gkcd71kXYZ5TSuMsq9zJKNbTYFu9QZrR+iauWni7ww9h5mF9iC2L7otl5cWv+l2/TqnrPCaM8VaXINjWL1RXPPfeYF14INeZd5YfvXlvFG88Sy7fcR2Ulfmj27Xrh7WBQds1B1cZWiLSrDXK6zyHttemGZkfMwqxIaCVaHJl5EneakLM/S33PSv7bICjxZuNeFvEd3rdemqBNe1811U715sGusLY+CMObljTYEqM5c7Tbyclc7j7SxCtuUEcw2aHoNxDqZs2yfpdv8WkYsLWWvL0Oa4Lr39L3LKgN+Is2Sl6ZtpnnfxLKL/LVyw5ZGnrsvmzq48aizCXabeSE2yaZgX9a0NUsrb6AcCrPNUZdpCwu8YuG+QLPzI0N9jztFbGezatn+yyLYZlv7XMOaBhOJWELbeWU1U9cRKRNmsyKX1nTbpPhUGXhXlK4qTFEwM7D7Q9bFF8eyYulnNHc3DysaLr6ApO1FWRe3vzGtP9G9Zv2ydM9054AinOuLjbANpYFPX/rYIuUZxnvLs9Ei6zHnhdGUcIQG4TQZfhpteqZ9HZVeq0lWRM4TkdUi8qiIXCIiu4nhk8mxdSLyFuf6+SJyo4hsEZElIrKw/iMUp6rh1RHOPLG0oy6LDlCxmdSKYBOr79RtXvXFcv6COZP+wIjnnvvMm/jb77mLJ/7ssTTsNTZ82wRrcT+7zTnT1iyd9P5Chtj1FkNt0SebbKPAsyMy+9KMOOrUScey9lLUxqrOue2Cyh6miBwPXAi8GlgPfB14F7AOOAk4ApgNXCciS1T1duBLwA3ArwLnAlcAi8ree9i1j76NvnQ9zTwBtd6lHe1aBSt2sFMsi3h5hsleqSvm+z138cCI2UEx3tkUawXSFcoFc/YYyBeuUE5bs5TZTtO629Q+DkIJw7XJNLrw7Mep9SAvL5Z5zjRPc9jbEtYtu4e5i0ydJtnXAV9V1WUAIvIZ4CJgA/BxVb0PuE9ErgBOEZGHgaOBk1T1ZyLyCeB9InK4qq6o9xjtcdBrzubeqy8NngsZah3D9XcKgfDi6SFRTBPK0GIETQ3YKSOWr1i4L9ctf3BAAAePuQK887NbEbC/TRvc43qVls133MSMRccPXJfVYpBlXGnvtkcFdu9sssriD256+un6hpceBcBXv3dnawV/V5XxNuKf5zH2zTO3Fdme2E8udQRzN+BJ57sA84FnAbc7x5dhardHActV9WcAqrpDRFYAhwCljLPuyj1FXs60NUs56DVnAztFM2/wT6jj3z/XhTGmTRvxqSKc1rvME8uia7eGfh8K2362YumnbZpY2v8zFh0fFMqmB2INud9laDY5bOpUWsr+rqvCvaygFtlxqGnsKlpVhD+vqyu0rKFrX8OoqNYRzG8DnxaRvwWeAP4I2AXYC3jUue7x5Jh/3D03CRE5BzgH4IB51ZoOq9L28PeQcBd98XbAjxXF0GCb+QvmlFqYoCquiLnx85tJ87hl7aagcIZE14ql26QaEksf19P0vc6i7ztkoO5c2h7UkluzyS7tMZSOfqH8hpcexVe/d2fq9X2kq8qULSNCi5lYmhRQd+GWrFaYIlQR3y5tr7JgqurVInI08APg58BVmNrsDMB94hnARmCTd9w9Fwr/EuASgKOOfoH654dhJG4hbT8XeVllt8+pkpn9Psw00fS3xyqLP2rVFzX73c30No3S9uE8du7MASN3p8f4v7FiufmOm5gRiJ/1Ki3337yU/V985KRzm++4id0rTBcqWyh0acxt2mSePULzi4P4LD7isEnHht0f1xeaEMA28mpPKpKNUWfQz7OB/6eqH06+vwnYHzgAOBL4SXLpEcCdwEpgoYhMS5p+pgELgLtqxL81bHOs+932ZTYx3aSJTJTWdOmKJhhv1Ard+mW3TYhmWfEMjVJNK6yKTqVZMGdyOrii63rjrljef/NS9gdmLDp+kkha7r956cR/K5pZFJ1z29dCYNxtchTJqhi3JfR+JdbdfCAzLtu2pubtqp6f+9/FH5DHs08sFbZ/j6rny1KnSXYxcJGIvByYCbwb+H3gUOAdInJD8vmNwAmq+lMRuQc4X0Q+C7wTWJoMRBgZ/Bfd1KIGltA+ly7Hzp05MAAm1JQZ8jbBF047ItX8pohw2r7LkFjmGUUatsM/bRCP68m7YrnmB2vY/8VHBj1KlzU/WMO8E+ZNOu4LqI1rU+90SCO5x9Im0wp72yzrD5CrW6Fx+876OBewDDZN/HWo09alzqKuNx8qD0KD8pqijXdXRzC/DrwM+DGwHfioqn5HRK4Hngfci2nyebuq2prtGcDlwIeBHwGnl71pFxk4raC3XqYtpJt+0UUzr/UiXbG0tUq3OTNPON0Rqe6CAb54pnmWae8iNPAGGOhDnDgGE9M9/ME3rojZ31mxhMni6GOv84/NO2HeRLh54mjv7V9XZTRtBwzFJvtCk82z/ijdpqYyWG8qTcDaxr9PU/ct2pfvdmmVCbsvLTp1+jB3AG9N/tzjTwF/kPz5v7kHOK7qPfuA21R779XVBLMJIwkNuHG/h4QzRHg5u53n/RGxvlim1RotVtRcb9A9ZsOwXmRaWEUrJ3kiackKr6kVnrpmnG3STifJOn7bj+8B2qmwNOltWgEo1Exa8Lw7WrUNEW4iLLfSuWPekUxbszRoh2kVnz54+3FpvBrYgSNla0Bd1Cb9kav+sSzmL/ilge+ThHLb1gGvL4Tv/YW8QdsPCQwM4LHG5GK9S5eQOGaRdn1bAtmXWvEoUcebWHzEYROiOSxs/NMEtmxzfxnxK1Ou+CP108SoysjXtoWtyyl6PiMpmE0tDpCGP+AnjYUXXsq9i44PGkEb84Vs7dGOJM0adOPWXtO80LRjrnfq3sP2I0JYKKsKmut9uvMlXY/UeqM2zCWrNnHc/GIVgKy4tCGWbv9XFM2QSHWlAAAgAElEQVRBRrlfsEjc06aKNf3MWeIYGlmeRhvn+kCR+FWx0ZESzC5eUtcZoWqhmreVVR0vdtJgnsSjDDW1prHmB2tYsip7yzEfK5xuM4070tUVS/vfFc3Q/YqKaqivtQ59L1DGlaa8zDzPqupiB26+KDJ6tUvSpsplLR7QBEVHpvsMo/I1UoJZlzZr+1WMKG/IeciY/MECZQafpGW6rGuqCGUR1mzZxrw9dp0kckWmf7iUFeW2GWUPqgpNP2vazhvDIO3Zim6QAJMrrn7+CHmDfWiV6KK51e16Kfqeh502IyeYw04wn4Neczar7lwChMUGKLzAgSXkHYZGt6Xdz71n1vlQnNOuh0GxzBPGJas2sWbLtsxrXNE8bv7MiTBtv2aZ+5WhrCg3PXUo0n+qVnzypoVV2eGjK/LyeRNiOeoVylrbe0UMef1gaWuY+vjb3/hzqPx+URt2aAsr97j923zHTRPeYug3ofD8ka1QTCyLYkU16zfu/cqEXaaP0+I3x1YRy7SFwyOTKVJ4po2QTSO0IlDbhXTZLce67B9My4d2cFKZ3zQRjybDLhP/Ju47ch5m0/ieX1ODQFzBsYVwlZFoWR34WVM60vrhBkampixI7oeVJ5ahATh53mVRqg7ySWPeCfMK91GWFcssg+xLU9tUpc20TxPKOt5h2rrFec9RtX/VLVeqLnHYpvfYF890ZASzq8QqOkLW/427m4krQgsvvJTlHzHTJvwCuMyqMlnNq6ERq65w+sJnR52GVtnIWjnHH3Tj0mRfot9P6g7yKUpdca3iWY7L6jDDoqtKRdGBQUXfpT/3cVjr2/pL0Q27glYk/Uatu2NkBHMU8L01K74LL7x00iIH/lJsbmGRVnDkLRIQImueZGhpOf8aKN8kWta7tH2Zk46nNP2mXe9jFyuw4cw7Yd5E/2WVFUcgf6pAXlPbsAuxPtJGBSMkiqGm2jzKiGbos0+Z6WZZXmZXoljGu7T/fW+12FSc/ObsNpuJizISfZjTdXvweNOGVic81zM96DVnBz3VvMJ59raNwQWL0+IV8gbtn09I/LIoe31bhATaF0vfm6zqXTa51GHdbY5GjTYKs7ojZK1ALj7isEliWUY8q2zDZ0mz42ELXZH7d9m/WYc6z1KWkfMwm6ylN114ZTXn2mbbtIE2eYsfhFa+sWQJpIsVP3dBcn/EaFZ/pRWvpvonm8CKoy+S7lJ4806Ylyv8RcWySrNrbKodpMu0KCKMRcqUvolEW/T9OevMga0ThmUkPMyyTKWCKW9eZBpFFzC3dC2WvsAdN3/mxJ97bJToe2FUljp2VjQtyo6QLUOVJtosmpp20XSYefdoM4xxK4tHzsMsStFaRJeFmLunpr+yjO9BpnWGp3mWIQ/K78OD8GjTLG/UbRJtWyyLrtRz3PyZmX2p/kLraceqUmZ5tDLnphp98LqH1a9cZMGRLtOmD+8ijSrvJ+9Zqr73sfMwi/T9pZ2bf1T7mza4cyGzmLTBKuXE0h4PDdiZ8BZTdvYYhliWZdS8Sxif2nbamIIqDLsC0bbNN/18w06vPlDGjpqejznSHmaRB+/byMSFF1468H35R85O3UQ1b+oI5K/ZmuaN+avr+P18fRbLKoS2+ILwziht0ad8WJdxEX+Y3DTb5Y4nfSufmiJt1OyoM9KCWZQiiwcP66VaAV3+kcHjWQsPWKxYXjxrc/Da8zbOSBU+d0k6G5ZlWGI5Kl5jViGQVqMd14IRmq0I2HQa5hqyVRdwd9MhrX/ULqNZhSIDk4qUbeOcF9tmrASzy+WmmsYscLBzlG3WwgNW3M7ctA4y8v0kIXWufe06goufW8oK5beeNXj9a9flz5PsA6O6WfRUoM0BP3lYwcsSzpDw5A0kSmsCbsqrtaIZikeWWFcpH8fNeyxCYcEUke8DF6jqD0VEgE8AZwNPAhep6ueT6+YDlwOLgbuAs1R1eXLudOBjwF7AV4A/VG2wQ6Qis7dt7KT/Mg+3udaKpy+Wr7ymeg3VxQjcZFEsKnS+QOadHxUBbYO2CpVxsck+eztpwmnfaVMjbZvwSMuK9bA32y5KnzziXMEUkV8Cfh14iXP4TcBJwBHAbOA6EVmiqrcDXwJuAH4VOBe4AlgkIocBfwWcDPwU+AbwVuDTjT1NBfpaQ/L7OrsiTwibCrcvApo2d7ZO01nbjLtNQre7dBSh6SkoRWmzIu8/U5N5vqrIpbUq9EXci3iYL0mue8I5dhrwcVW9D7hPRK4AThGRh4GjgZNU9Wci8gngfSJyOHAK8HVVvQlARD4FXEBDxllH+PrgXU41fAE9b+OuuQusn7lpXbHArwlf913MYg2vLFAZ8fOEW5i4LRLuGsIdMhI2WRa3kB2WQE1lqnigdcvOVXcuYfa2jbzhpdnhhPKDGz/3fJuV3VzBVNX3A4jISc7h5wO3O9+XYWq3RwHLVfVnyW93iMgK4JDkN9/1fnNI2n1F5BzgHIAD5x5Q5FkGsC8yL/GiWPYD29968abwAKYmqNOcnZZPrIfapUc6DJusa4+Q3S/oLgkZbbIfdFFpqfOu0+I3/6jjWrPHqoN+9gIedb4/nhzzj2eds8eDqOolwCUAixc9X4tGzH8B0fgiXdCmkRakVZusao8wuWCL3mOkbWy533RTblXB3AS4nQwzgI2B41nn7PFc7v7xiih8kd4z5DzamU1Ge4yMCk1Xzqqu9LMCcDtujgDuBFYCC0VkGkDyfwFmZF7abyKRSH2iTUYiLVPVw/wK8A4RuQE4FHgjcIKq/lRE7gHOF5HPAu8ElqrqfSLyj5iRe1/A1GzfD/xNkZtt27Ztw7p16+6tGNeizAE2tHyPvhPToJs0OFRErlXVX24wzM5ssiN7hJgfIaYBdJMGBxW6SlUL/QGrgRcln3cBPovp81gDvMG57jBgCWZH0O8BBznn3gzcjzHOjwNS9P5t/wG3DjsOw/6LaTBaaRBtcvz/Yhr0Kw0kidCUR0RuVdVjhh2PYRLTIKZBn4jvIqYB9CsNxm63kkgkEolE2iAK5k4uGXYEekBMg5gGfSK+i5gG0KM0iE2ykUgkEokUIHqYkUgkEokUIApmJBKJRCIFGCvBFJEzRWS1iDwhIjeIyAIR2UdErhKRR0XkIRH5jIjsklw/X0RuFJEtIrJERBYmx/cUkf8QkQdF5HeSY2eJyA4R2e79rRjmM/uIyFtF5H4ReUxErhaR/cXwySQN1onIW5zrp0oazBCRy5Jj65N8sGty/dilQV+INhltEsbIJoc9r6XBuTqHYnZv+BXMcl/vwSxG/TngsuTYAcBS4IzkN98HPopZP/MC4I7k+LnAmcBM4N+TY2cB1w77OXPS4EjgYeA44OmYbZwux+yReFfy/M/DTAI+eoqlwUXAD4G5wH7AzcDbxjEN+vIXbTLaZE4ajJxNjpOH+UrgOlX9N1XdAvwlZqeG7RhPehogmAnej4jIgZhtjy5S1ccwm+8eLGbbI3td1ZWQhsVLgatVdYmqPoFZ/eW5OFs/qerdmAx7yhRLg1cDf6Gqa1V1PXAp8KoxTYO+EG0y2iSMkU2Ok2BeBfyh830xsBlTi3kFpqa7BrgPuIbAtkeYtTUPAb6MWVrsx8DfdRT/JvhbzMotiMjemGe4ifDWT4cwtdLg94D/cK47BljHeKZBX4g2GW0Sxsgmx0YwVfUBVV0NICK/AXwLeDfwScyyYDOBwzFrBp5HxrZHqvqEqr5KVfdV1a85518tIlu9v3e0+2TFUdVtqvpzEXkzponndcA/UmHrp3FLA1VdpqqPJ30gfw28HvhzxjAN+kK0yWiTMF42OWqufSYiMgfj1i8GzlbVb4rIx4AXq+qjwKPJi/kl4Aukb3uUxn9qswtmt4Kq/q2IfBlTq7sKU5Mvu/VTGiOZBiKyP3Aipu/sbuAFqrpWRI5gTNOgD0SbNESbHA+bHBsPU0T2BG7EdC4frqrfTE5t9i7dBjxJ9rZHI4mIvE9ETgNI+ow+B8wG1lJ+66eRJCMNXg98HbhAVU9W1bXJT8YuDfpCtMlokzBeNjk2golp175fVd+UdCxbvgV8UERmishBwO8DX1fVnwJ226M9MFsbLVXV+zqPeXM8BLxbRJ4tIrsD78DU3D6L2fpptogch0mrr02xNHgb8Meq+k/uxWOaBn0h2mS0SRgnm/SHzY7qH2Yfvx2YEXju30HA32NquWuA9zi/Sd32KBD+WSnhbxj2sztxnA58CliP6QP4N0xHeaWtn8YsDZ4IxPs745gGffmLNhltMicNRs4m41qykUgkEokUYJyaZCORSCQSaY0omJFIJBKJFCAKZiQSiUQiBYiCGYlEIpFIAaJgRiKRSCRSgCiYkUgkEokUIApmJBKJRCIFiIIZiUQikUgBomBGIpFIJFKAKJiRSCQSiRQgCmYkEolEIgWIghmJRCKRSAFGSjBF5G0ickrG+TfbfdcKhne9iJxa8Nq/CF0rIqtF5EXJZxWR/QLX7Csid4nIqqJxS4lDMPw2EZGni8gjKefOFpHPdxmfSH9Is0cROVhEtiaf/15EntNiHM4QkWtyrvnQVMqnIvJpEXlSRF5ZI4zLROTdTcar4H0vTylnU8uhLhkZwRSRvYAzgCszLvsS8PZkD7Wm+RXg2oq/XYjZMPWQoj8QkV0q3qsS/v1EZLek8vEvmN3O3XOHiMj5wP/tMIqRHlHQHgE+A3y8rXio6pdU9eS2wh8WNe3/14DXq+p3C95L7GbNXRB6NhE5QUT+DPgd73hqOTQMRkYwgTcDV6nqUwAi8hoRWSEij4nIlSIyQ1V/BlwHvCkUgIgcJiI/EpEtIjLwAkTkF0VklYg8KiIfEJFN1psTkcOAB1R1k4i8KLnvZhH5O5I0FJGlSVBrReSZTrgHAd8FDgD+Ozl2jIgsSeJ+g4g8Nzl+lohcLSLfxGSQEGeLyIMi8oiInOfc5wwR+YmIbBSRL4vIrOT4QE3R/Z54x+8VkQeAY7z77A68HLP5q8+hmB3ih7+ha2RY+Pb4ZhF5QEQexmwIDYCq3gnMs3ncJfFEnxCRCxO7Wy4iJye28YiIfMq5Nstmrk0+Pz+x7ydE5Jbk+28DHwDOEZHPZj2QiOwqIp8RkQ0islZEzkmOTxfTwnS/iNyXlA+SnFstIueLyI+T3/1pcvwmEfljJ+y3i8jVyedXiWlxekJE/llEZifHLxPjHd6N2Vx6dzEe+qMi8sPk84dynuE7wMHANSLySjGe2d8ncVslIuc616qYiu8mYN9AcM8RkdtEZKuIXCNm82dE5Dki8p3kXdwmIi9Jjr9cRFY44U98F+PlXyYiNwJ/HbjXC4E5TC5vssqh7hn25qIlNiG9CTgh+XwwZvPZxcDTMYL0vuTcrwD/kRLGDcDHgD0xm44qcCqwF7ABeC0wE7gkObdf8rsLMLuD7wL8D3BeEsb7k+telFw38Rvvvi8HViSfnwE8CJyShHEeRkiflsTpKeB1wLRAOIqp0f8C8MvAZmA34EWYzVkXAbOAy4CvJL+5DHi3E8bEd2A18G1gdka6HwxsTTn3IeDzw84b8a/7P88eD8EUui9J7Odbbp4B/hx4byCMg5M8/eeJLXwds6Hy0cB+wCPAkQVs5tokvOuBc4FdgT8CbkmOF8qnwPswrUh7JXHYAhwIvAezifEzkzjfCbw5+c1q4EaM4Lwgsd+DgT8Gvu2E/V3gdGAu8ABwfJJW/wB8MbnmMmAtcETy/cNJWu4FvBiz4fKHCjzHanaWSV8A/im51/Mwm1W/OjmnwOXA0wNhXIYRqUXA3sCPgdMwDsIy4PzkXbw+eTf74JRzSRgT35N38Hjy3JIR9+uBU1PySrAc6vJvJDxMMc0FL8S8KDAi901VvU1VnwD+ALglOXcX5qX4YRyA8aI+qKpPquplmEwAcDJwh6p+S1U3Ae/0fv5a4JsYYdqhqher6pOYJsnHSj7OyZhM9E9JPC7G7BZ+dHL+R6p6laruSPn9/1XVR1X1WkzBsC+m0LhEVe9Q1Y0Yw3+9rQXn8JeqOvS+gcjoELDHU4ArVfXGxH4u8n4StEmHjyX2dBvwn6p6u6qux1ROn0W+zbi8DHg28DeYSmUZTk/i8piq3s7O5sEzMUL1gKquxjQx/4bzuz9T1QdV9b8wgjQXU7F9iYg8I2nteSGm1eiNmLS6KUmrD2IqyJYvq6otl0514nMzpkJRmMT+Twfeo6qbVPVu4PNe3D+alKEhrkjKlIeBH2BE61iMk/Kp5F18A1OBeFWBKF2TPLeWeY4+MRKCianhTAMeTb4fiDEmAFR1uar+Z/L1EWBPMX0sLnMxzao/d46tc8K71wlvE/BzABHZG9hLVVclYfyvc91TmNpVGQ4Cfuode4idTSKbcn5/v/P5KWB6IMyHME0Zzwj83n/nefeLRHx8exywC3baleURjPCF+Hlib2BE0K+ATiPfZiynY7yw65Lrf4Ny+OXKVar6v4H7+/fe4HzeCkxX1TXAHcCrgV/FeJuPJWGdkzRzbgVWAM+wzZ0M2uM8BtN1fcnn2RfjhbuDDf24Z9l/Wlnz357ohd4FjGFZMyqCOT35bz2mhzHNI+agyItl5+jYHd5/ywPAM0Xkac6xA5P/GzBNQDa8fTBNnWBqt//qhHGgc91u7u8K8hCmgLFhTMPUiFcX/H2odjYQJqaPcVNioDsYfM+hjB2JlMG3xwG78D6DybNpLSZFvI1cmxEzkOR44FxVfRZwNvD5QMU5C79ceZuY8Qsh+1pNPldiyo9fwzSLgqlgf1JVd1fV3THdK8ep6tbA7zdjmjrd+5bhEUz67u+Fsbrg74uUNW6YY1/WjIpgPoSpuc1Kvn8D+G0ReV7iAX4K41GBGY26xW9mSJpSfgxcKCJ7isjZ7By1+p/ACSJyYlLT+1Pnp/8H0xwL8ENgdxE5R0T2BN7L4MitpzAd11n8K3CciLxWRGZg+gLWq+pduamQzteAt4jIESIyE9PM8w/JubUkA3pE5FDgpTXuE4nAZHv8OvAbScV1JqZLwGUWRlSrkmszSWvPXwJnJBXZ6cCTmH7I7cDeBboovgG8K2lGfQXGjh7C2NcHRGRvEZmP6R/9UoF4X4nxLk/E9EWCSatTRWRhUoZ8AtNHGuK7wAUiMkNEXkbJJmZV3YZpBv6oiOwlIoswI5svLxOOx03ADBE5N4nXqRgB/Q9MWXOgiOyTVGDOrHGfXjISgqmq2zF9lM9Lvt+OEatrgHswQvb3yeVHAjenBPU7mLb2h4CTgH9PwvtfzMu9DFMDXJtcvxtwFLAkuW4rppP7DzEFwEzgbif8bwK3JR5q2rOsB34L+DNMDfD1wBvy0iALVf0WZuSZzbQ7MAOSAP4KmJmMVvsbdhpuJFKJgD3eDfwJRiBWktiVw5EYG616v6I2cxZm/MGjmHx/SiIa1wG/CHxaRA4Ske1iRq/7XAhsw9jQ54DTkjEBH8A0M/8EUxZcoapXFYj3akyf5o1JH61Nq3cDV2PKmoMwg5hCvBUz4OchjLBegxF/RORSEbk0Lw7AWzAVlvuSe34wKT8rkZSBvwb8HsYjfy/wW6q6VVX/B/OOfohJp1ur3qevyKj0v4rIO4BfUNX351z3MWCtqmYOIS9wPwX2T4w1Eok4FLXH5NqbgHNUdWnetZGdiMizgYdU9fHk+1eB76vq54Ybs6lLZQ9TzNyprd7fNhE5TUTemcz7mZiXlPxmtoj8q5hVKJbZ+TsF+TvgNSIyPe0CEdkV02zxxarPFYmMKh3bZK49JuE/D3g4imUlPgB8SkT2EJGXYvpDCy1GEGmHyoKpqh+xHddJ5/WJmBFfGzFt/Cdi5km+UUTssOnPYJohDgA+AlyZ9DcUud8mzJyirKXs3oiZb7W5yjNFIqNMlzZZ0B7BzF9+V5XnifA+YD6m6fNy4HxVXTncKE1tGmmSTWqZd2Hay38XM+z4I8m5P8HMQToTM6z4UFVdm5y7G7ggmVMYiUQaItpkJNI8mc0pJXgLcK+qfk/Mclbu+pLLMINtDgOesIbpnAuurypmWapzAGbsuefiQw49zERYt7M9uxWoU4rGZ7puB+gk7lu3mxH8u0+fNvDdZffp04LH/WvSfg/w5M+fGvi+527h5S/tvWx4TWDj5MfBj0+Ve/rP64bhnqsS9nTdzn/defdjwM2qWnZifRkatUnfHg8/5NkD5918bW0ilOftMf+4ey50vMi1bthp9wiFkRWfUPhF4pcX17z71CknstLYP+9ek/du3OuKxs8vi4rGMYsiz5eVL0LP9l933r1BVVMHa05cWyqmAZI5UX8C/HZyaC92TmgGsxzSXoHj7rlJqOolmCXqOOroF+i/X/99AGZv28gju86auM7/XoQqv6kb1uxtGwEau28WKzdsYcGcPQa+AyyYs0fwcxqhMHxuWWvmIh87d2ZuGE3ixsfGwefYuTMr3d9/Vj8MNw3LMnvbRp62z7yftCmWbdika4+LFz1fb/72vw6c920y7Zx7Pu14KLy8MPx7pt077X5p8Qk9V951afdJu6aJMi10v7R7pj131u/cOJWJX5qt5MUxi7K/LfKen7bPvHspQBPuzmuAB1X1R8n3TYCbOjMwfSj+cfdcLZoUwHHAz5y+UPrXhQS2qBikCeUwaTJOaemQlz5DzpNDt8mmGVcbTxP6JsMvmm6P7Dqr9fi494L2n79pmmgj+13MxF7LCsy8K8sRmLUGVwOzJFmZ3zsXaZmsAj4ksG3fs8mwXYF0P1e9f5vx7ohok5FesGDOHq3aU9eCW0swk5UzXgp8xzn8FeA8ETlARBYAbwe+mkzc/SbwoWSY9NmYtU6XFL3fMGsjXdx71GpbWXQtOsfOndlLb7drurbJYTBOdtI1Me3qUdfDPBLTpOMuUXUtZtmou4HvA3+tqtcnp98GHI5ZreOtwG8mS1pFEopm6C6acvpOHVGu83w990CjTbZIVj/kuDN728bgc/b52ZuOW60+zGSZp0m7YKvqhzF7ufnHH8AsURUpSWjgQNP9Ok1lri4FJW3wUpk4hNKxyKCorPCGxTjbZNV0Hdf+T5cun7HJ+9QJq8s+V8tIrCWbxrBrNmXu/8iuswqP2PPDzfveBE3UHJsUyrTabN59y/SZuPcI3Ss0OraMiA47f7ZJXwQoL41H7R1k5ceilHk3w3yPVSukw2SkBbMPtJ3hmhLLMgJUh6a9yzKi2fOm0khH9EXMm6Su7fZNnIrEJ+uZm5wWWIYomGNCHYNyfzttzdKJv6lG7BcuRp8WDon0E1tBL5LnR8kuomD2gC4zTFYm7qtINpE+fathRyYzjp7hKLFyw5bS8yOr2OYo2+KUFMwqhtm1MZdtQq2zWobP5jtuKhWWpWwfX1p80vpTixyv2/Qc+u0oG3gficI4fPzK8TDzuDt4p2w8us5LU1IwR4G8QUJ9wl+azgqn/+df41NX6PJEtwo2nlE0R4uuxxZEumOY5eLIdUakNRlMhaHjPk08b8jwZyw6PvM3obVbb1m7KXfhgDTRXDBnj9RnyXvGYQwtj4wnaWvWDrtcGfX8XSYN+z5wb+QEsyn6YAg2HsO6R9F7F1noPO8c7Fy2zl+w3V+7tsh7cX+TJ5plvUM3b9RdM9aeH/VCr290kaahe/T1PfahLBsWeYvbN8nYNMlWTay+GoDFfa5hN9PmCWKR37thuN+LiprbvJv1m7x0ckcCtz3Yqe95rGvaTI8+Ckcf49QkdZ+v6TEHbTJyHmZfPEMYniEU8aiqNG3smHfkhHjsmHdk6vNdt/zB4PFXLNw387pXLNx34Jh/fSjeRYW0jMfhT6OJjBZ+JTIyetiKcs93/ZnE2HiYVRiVmn/Is+w6ExXxLq9b/uDAX+h86LsbtiuQWWIZ8kyHMZI50i5dTF6PZNPHfD6sOE1pwRxH6o7m3DHvyIHvfnhW5Fat3MCqlRtyw7PX2Wvd76tWbgiKpnvftAFGaeey4p6VNl15mrGQj4wy45h/yzxTFMwM6swrLEJaLansbuZd4wqlL4TucV9Q0wTWF03/uWxfp9vnmdYsXAdXNPtYq56KDLtlpSlGNd59Zhg2OrKCWTcDlvl9n+fgtRE3v/8yT6SyhHL9stsm/vzv65fdlumlpnmQNh7XLX+QW9ZumpQGbtxDnuq0NUtTF2fI8zSbWBw7YuhilGukOZpKz7KDB5vOJ3XCG1nBdCnyIsuuABNqzuuzcELx/r8q4VmswIWE0Mc/Zr8/+dAannxozcC5tKbZtP7QKnH32XzHTaVWNYpi2Q1VC+a2BHKY73vY6xvHvD7IWAjmqNKUgXch5q5ohcTRPe4KqRVHK5CuUNrPVoTde4SE0/1fpP+0KFWXAoz0h7Z3rxhl4ejTvq5ZcWlzKdCmqCWYInKBiKwVkSdE5HoROVwMnxSRR0VknYi8xbl+vojcKCJbRGSJiCys/wjDJU+symTWMvMsi4RrrwmFGeobCl1XpPnEFVD3s+9F+t/d610BTGsC9sXSHTQ0CnRh5ONok12k27Cbb9sS5LQ+YH9wX1Pht0VfKiyVBVNEjgPOB04E9gaWABcDbwJOAo4Afgn4iIgcnfzsS8ANwDOBK4ErKsd8SDTtyZUVSX/VnTL9AfZe9n7+d/fYyg1bJgnXqpUbMgXRJeucjyuavgAWGY3r9mNWEf20pQDbWJu2TcbdJoctam3Tdh4LlV3jnqY+dZ+3jof5FKDsXPxgF+AR4DTg46p6n6rejTHAU0TkQOBo4CJVfQz4BHCwiBxeIw5DIW1B8dB1Rcl7kVn9k+40i7TpGX74aQuk278ssQw1saY1u+aRdm1ION3/RShSmchbN3fEmLI2mUaZArJv4lFn66y+PUsV+vjuKq/0o6q3isg3gXuSQ1uARcDNwO3OpcswtdujgOWq+rPk9ztEZAVwCLDCD19EzgHOAThg3ryq0Zwy+EvOAamLoacJrk+aWPqE+iXLsn7Zbez33MWT7utSVCxdwffTxa4sMmZCCU+AKfYAACAASURBVLRrk8O2x3EQgL7gr4pVt9Ws6spio0idJtlXAb8OvAB4BnAZ8BVgL+BR59LHk2P+cffcJFT1ElU9RlWP2XvvOVWjOYmqzR5lmz9d2hiQUyQu7rxG33v05zX6XLf8wYnm0CyxbJoiougOKnIpms5N9d/0jTZtsi17HBZly4FREuw2vMwyLWB97b5wn6FqHOusJfs64HJVvR1ARN6NMb7tgFvdmAFsBDZ5x91zvaKKwLm1rD7XuFyBzBow404fgXbF8smH1rDnPvMmvEx/Hicw4X2mjdAti79uLpg5mK6YjuAuI2Nrk00zgu92gqbWV+1kdw/PpkadOoK5GdNHYtmO6UO5AzgS+Ely/AjgTmAlsFBEpiVNP9OABcBdVW7edWY/du7MSd5YaA/Iqt6kL7LuXpHu5Hv3fv5C5va7u6i5/U2aUKZ5dEUH97RJ2uhbn+uWPziwVViW923S2RSWTRhy2gjkIRXGQ7VJS9Hn74vXNow1iIf97MO+fxWqpFvTtlhn0M/VwGki8gIR2QP4EHAtcCnwDhGZnYzaeyPwNVX9KaZv5fzk+vcDS1X1vlpPUBKbgFUS0RWrUKFcd+GA0LZVVQXYnfAfEsus0adZCwy0hb1P1kIIWXGqu/UYMMm7HEFG0ianMkU2SC/KMBZWafqeXVY0qwhwnUE/3xeR9wD/DOyDGZp+NrABeB5wL6bJ5+2qamu2ZwCXAx8GfgScXuXefWpKCXmZIbKaaYsIZN6C467XmLdTiN/cGmIYXqXbNJt2vgrXLX9w0lZi1lCa2OC5L03wXdvkKDdrlmFEK0+FGObqZUXKzabyWFPvsNZ+mKr6ReCLgVN/kPz5198DHFflXuNgmE0WrGUm7GeJ5bCaW9Owolk1Xres3TTQNO2uEGRFM/Qe8gwzb8BA1rvtUli6tMmidN0E2YcmzybpS8XE7SZyKeo0jAMjvzRe23N10grBMhnE3+/R//OvKUNo6yyXURJLS9F4VRkA5O+IkrcKUlaeKZKfxqngniqU2Yg8dG2RLp+qAphWWatDE90ZoTCyNjJoUmC7tLGRE8wuE8eKZRNeYdYUjqL7O6ZN5g99ThPSvotlUfx1aKF4+vmiWbbAiSLYb4q+n3F+j0Xydp0BinXCG2VvdOQEc9QIjax1P5et3dnBPEUn8YemaIwjvidtl9lLG9yUtiJSUca5sO0rVQv4vHfVh+bOImTFs2kvs0grS993b2qDKSOYaS897bj1KpswJt8z9IXSH9HqLyrg9svlEdoxxJ/oP+reZRZVF2O37zurcA0th5g3jcUyzgLbxbNVbQ2oSp7dd7GxdZl7NDnorM332Yd41nm+WoN+umK6bh/KfV2jcedD+oTmOvrNDqE5kqHdOPzRnKHCOG+Uqz9/0QrknvuM1xKD+z13MfMXmFVnbLq9YuG+lbf+GmdRi4TJGlBTRDSrVqizKvChMNsWy2PnzmTBnD0m7h1ae3rUaGP0+kh5mE0VaHnh+IlsM1FW4oeELXTM39cRBptNQxsmh7ymvObV0HzFLudVts2e+8xj/oI5vGLhvhNiaSsp8xfMmThnPwOTKiNF8CtNfh7ow3SSPtN0JaSP6V1lMn3W8awdjNqo1BXpU8xLdyu4TdBkE3nTQj8SHmafcJe/K0LWnMjQoB1buId+V2T+JDSzGHoZfM/Vv2edaSKh3++5zzz2e+7iAQG0Rp9m/FliWdfQR3kQQ2QnfezLTJvK0TZZaeEOhly5YctA/q+Shm146m0xkoLZ5bykrLUQQ8vlWfzjviD64mfXSl21csPENf5vXfxm1mF4jq5Q7vfcxRPP4guoOWc++8JnSYu/vca/l00j11hdA86bG9aFyMUm3n6KUIgmC+wq5VPXeWWUmlj7Mg8VRkQwt0v30XRf0LQ1S5k978iBTJ3Vp5lF2qhVd3urkGim0QehDH12Mc9iF09n0vXrl92W2r8aCtM2t1rRc2vffq03q1KTV2vP69uKgmgILRTQZCE3zMK9zXe803vMv0eR/riqZVJRQve390yL2+Y7bmL3xOEYhwUlRkIwh4U/8dYtAJp68a6n6HqbWeu89qEf0hUyV9x9Txp2NoeuWrlh4neDFYJBUfS9br/yYMXSNVJXxPxF7JvwJvOMPRSXSMRSZQBKmvj1TXTyZhRMW7MUnn1iI/catuhGwSxIlW1qsqY4ZPVDut6me22aB9cltv8QJovidcsfnDTAJq9P0f7GrSCExNjvr3RH9Ln4lZq2a93Qz4Eow6DtwqyNdO6icjMKzZ9t5+Gi6dyn5tcQIyOYTRti0Rez+Y6bAJix6PgB0Zy9bSML5swKNvf5zYBFpjn4fXtWNItucdUVbv8hDAqZFU1XLKssLeh6qf5gnZBYui0BbqXGFuBVRLPPRjvq1C0U2xbmMusKW5ocnJO1kk7d8LPCKPNO/HCatBeb/n3zpGGEBLMv+JsOZ/WRlSE0ktRfxq7uaNO6uFM5XKz43bJ206S+xZ1TcgYzv2tsfvq5XmVIWGdv25i6TqUvnq5oQnejDvto7G0yihWMNrpY2govbRCbu9tOE/cMbaKeh5+OWXnBnNu9UFzaFM2qlbYomAFCBfLmO25ixqLjS4XjNlP6Xqb1HsuKYOj6poQ0L5y0qRwweY7i7G0bYdvWiXScPe/ICdG058zv0g3CD98y7X9unfD8fWYsOn7iXYWa0bO8zbwa/CiKQpuUaWZr+p7D9jJd2liv1VKkMl4knm1UEKt6vCEbLLIvaJ4Qd1FJndKCmZfAaYUy7Bw5m1dbcreYSqPOCjyhaRdQbvSs2y+5ftnkKSuW+QvmBEXMFUDLtDVLB9JvBkY0Jw2kcoTU4hYSoWafzXfcxP03L2X/F+8UQ/vd3tMVzdAI5xCxL7JbyhRyw3g3XY38zRKesi1Yvhhl5fUmW1uqjPEYRaa0YBbFLYxdD8biZ+q0DJjXl5kmnPa475W6QufjCl/WPSYP4FmMP2rV8q5XHzbYf5iIpBVBv4Jx/82OOHoCZ88/5/fPmTSCLtSk697n/puXsuYHk5/Nvid73/1h4j1VqYFWKQSiF9oddaf3dN1XVtUjKyqafvdDHk0IZdoyfsOwgy7eZS3BFJHzgHcCs4B/At4KbAM+gdnp/UngIlX9fHL9fMzu7ouBu4CzVHV5nTh0zYAHAyx49okDNTq/n8FmyiqLgvuDflz80arhJl/z2fUYfYEN9Ula/ONWwFwv0abHgDjCgKAtWbWJ4+bPDIrc/i++iTkwyQuEyU3jviCv+cEa5p0wbyLceSfMmxQP+57c/symyQu3y0J5HG2yyY0Q6lJmjdW622C5+KvpNJ2fyuwBOiDKXsuSz4xFx4+V51lZMEXkeOBC4NXAeuDrwLuAdcBJwBHAbOA6EVmiqrcDXwJuAH4VOBe4AlhU5f5tFkBuIb3wwkv57snH7fRaHA/mOYuOn+jE9ifR+5Pp3bmIFnfivo895wtcSPDc/4MsHlgUIG2Eq2uMaaNXXbF0hcumhRWtJasGa8JrtmwzH1aFa8jzbl5qPEFImrh34t/L3m/ND9YERTgsyEdOiCbePdLyUNnCw//s06FYDtUmI/k0OcWkTD4FCuXVLHHLmmfZV1FcMGePXFEvQx0P83XAV1V1GYCIfAa4CNgAfFxV7wPuE5ErgFNE5GHgaOAkVf2ZiHwCeJ+IHK6qK+o9RnO4mWLhhZcC8MprlvDdk48DBj2piYJ4r2MmheFnzmPnzqy89VQarnfohj3oGS4OXg8EV8pxcUfgsW0rW791SaonuWTVpp3iGCB0bt4eu078fn8Ar6nb9lX695u4lyfCx82fLPZ+c3rWc7rYSpM/Kjr029DnITGWNuky/yhjh6vuXNJIeE1UZkIjWIsIo21mPXbuzMLNtX4e88XKz8s9y5+d0ka/dx3B3A3TvGMRYD7wLOB25/gyTO32KGC5qv4MQFV3iMgK4BCgd8aZNuDH9WJsn5y7PJQ7is9i52y6YuV7mnlzLP01aN3l4ex0Dh//WGg5OXc0q2t4ViisP2rFy/fi8oQyi5Do7e98Lns/17u13qdtpnU9TXcurWWgchCgz7Voh17ZZN8nofeFvHWPQxRJ16KjSsu+I1+U0+xiR2CQ37BoajnLOoL5beDTIvK3wBPAHwG7AHsBjzrXPZ4c84+75yYhIucA5wAcMG/4+zimDjJh8khPt3B1P2cbxeJCK/qE5iiG+k3txsahFXJgsH9wYnGG5LqsZlCfqmI58PtVmyaaWAfOBe7p3s+/97w9dp34HGqy9Qcd+fgFh++Vpi2Q0CNas8mQPXYtiNa7tJ+b8jKzKOr5+aLXxgpTac2LXVTmirznkBiViVcb+1c2TWXBVNWrReRo4AfAz4GrMLXZGYD71DOAjcAm77h7LhT+JcAlAEcd/QKtGs+mOHPTOv5h5rMmFeBuIeyKkFu42qkNVlTTPMK00anWm/SbdLOaUhfMmbzCjesBu/2D7qhS+71JTzKPUD+nTecy93SvnbfHrgMibJ/nOSnzM136UisuS5s2OWx7HJanWrQAD1WGQ4tlZA0QTLt/W0vrtZmmeZWptOdqSjTbGmhXZ9DPs4H/p6ofTr6/CVPmHgAcCfwkufQI4E5gJbBQRKYlTT/TgAWYkXm9w/ZfFmHnnMzJuF6KFbKqhPofQ5ly2pqlzMHU7tz7+V6l2z/oD57J8uzawnqbTdxrzZZtE6IJO/s3iy5A4c/n9PFbEWD4XmdfbbKtwqsrL7MoRQr6MgKYF14TFbu8bojQ6HWLLU+q5nt/k4SiZOWntitWdZpkFwMXicjLgZnAu4HfBw4F3iEiNySf3wicoKo/FZF7gPNF5LOYoe9Lk4EII8GZm9Zx3kTDpfGCjnXOh0Z1wuSpDVVEM9TsmrZEnNvEOtsr1H2vMjTKtE1vMo+27muFM69Z1hKabzsCTDmb7ANl+x9DQuGPqi9DV82x/lrabZJVwSpa+WojjnUE8+vAy4AfA9uBj6rqd0TkeuB5wL2YJp+3q6qt2Z6BmfP1YeBHwOk17t84oWkTPhfP2gzAa9ftyrw9dp3ox5yR+oud2AwXepF5IuobkR9Xf9I+MBEvfxpIqLnVZVhi2SS2P9PtF513QrG+cDtYIUssh+1NpjA0m2y7P9Ptv0w7vurOJaU82a7mx9ZtYsyah1okH6Z5gXnPbn9j320ojKwRuiFCc63dDRKqpFWXzfV1+jB3YCZFv9U7/hTwB8mf/5t7gHDOHzG+9axtnLfRTItwl2RzceduWtKaUUJLxA2cD6x44zarrvnBmuDAJFKmZYwL7kAfn9A0k6yJ1KM+qrOvNtmVR2CbaEdp4Xu3ibasgHdRaRultOyCuDRegKL9lxfP2sxxzAx6dz55zXtZ/aDuNTYsSF8iLksQh9nc2iRZQgk7xdL1KrOaY23BUEQ0qxRUfd2uaKpT971U8Yz8HUb89ZKbyiejXgFsmyrpHAWzJkW8NX+hcBd/v80ssvofQ/Gxo0TdY+MmllYY/cE9kN0EW3QOWmh6UFWiaLbP/KOO47Yf3xM813b6lwk/fwusndSNc16+dYW16tzMtik7jzKtslA3D0TBbAh3PVP3mPvd9TL9JtysflNLaFRrmmD7o0TtsXHCFUe/+dWmu19RKSN67rV1xHIqr7aSRp+8nya8zLbCLhNG3TRtuzJXpjJRp+JRZsBQ2fczdoJZN4MWES4X2yxr8b2+0MT5sveAyYubQ1gssyb2jwOhwTxp+GI5Y9Hx7KCY4ZYVyJ4OAuqMvogfdOPJt3mPKsJXJi59qqx0SSMbbDcQj94xe9vGib++kTY4KKv/0/csB6aCbNk2IYzjKJBVKDoa1hKbSdujibRdfMRhpa5PG1HbB7LKpEd2nTXQlz7VsJ56k324Ierowlh5mHXarOskYmhZN//cxCLjgT0hQ59D+FtmDZybAmJZxLtMa4otw1StgXdN2iLhXVBlR5q+UCd/FhXkvj0ztBOn0nvkNh6DEabqyhl2bqbPklWbuHjW5gFxKyOQLiGxHHeRdAf35I2KdakjlpFy9LFgzSLU8pT3DP71w6xM9SW9XW8465q+0FRcxsbDbGrUWZkl8UK44miF9OJZm2GVORba5DiPqSyWvlCGpouEBlwVpQlDsgsduBO9LdFTHQ6LjzgsOFq26e3BIsWou1dsX8R3LASz7vY0TXDmpnWct9Gs95PmccLgyNm0gj5vusg4i2UZT3IU6Yvhd8mwmjVd0fT7Qfu2Dm0d+pKnhhGPrrtPxkIw+0KWUFov099yCsIC6TJVxDKPIiNjI+0zXbcPOwqFyRsw1BexaYounqfJuaajlv4j34c56k1eS5K9ILPOW6ayWBZlGP2XqcsdOnmzSJ9PZDJlR8iWoc+jaftE1b0w0841XWZ3aVcj62HWTfRQM1GV+ZFlcPsyffJWDJrqYhm9y0hkeLTR9JkldHWa8f3fNimoI+9hNkndAT9VcOdRVjkfGS6+d9mWoY4zw2wlyvJg+9R61YeRuW23khTdE7PM6j5NTykcacFsYskp+7+JzViLcPGszRN9nf6qPKG/qcYoPHPZvBKFszjDGhyURVMjOfskwH2jzAbSTTMllsZryrCGlYkvnrUZkkd47bp6I0O/9aywyNQNdxxpahpJkWNN3a/vjNJ8vDR80cwaQVukeTIkwuMyKrcL2l5/t2qT78gK5jhhBa+KwKWJpX/utet2rXWfMnFpOvwy/ZdZO8NEmmG7dFNstDngJw93vmaZwjUrzv5m1/Z72u4qdXHj0oZYT0WPuXDOF5HvAxeo6g9FRIBPAGcDTwIXqernk+vmY3ZwXwzcBZylqsuTc6cDHwP2Ar4C/KFqP8aoH/Sas4cdhUKCkyWQRcJOC6NJsW4qfEto6cG8qThTgXG3yT6QJmqugFYRdlc8035fVuSKijW0J9LjTq5gisgvAb8OvMQ5/CbgJOAIYDZwnYgsUdXbgS8BNwC/CpwLXAEsEpHDgL8CTgZ+CnwDszP8pxt7mjGhqij2+Z5++GUFNLTfZRN00XTW9MT9vtpknefs+/q9w/B225z2UqYJumtCad0XgS/iYb4kue4J59hpwMdV9T7gPhG5AjhFRB4GjgZOUtWficgngPeJyOHAKcDXVfUmABH5FHABBYxzlCZKR4qRJaB2L88QZ25alx7oNcm5awaNf/lHJrcelKmN96kwSRi6TabRVOVgmM2xU5E6HmgVYQ/Z1BteelTq9W03LxclVzBV9f0AInKSc/j5wO3O92WY2u1RwHJV/Vny2x0isgI4JPnNd73fHFIr9g0RJzAPn8kebnMe787pQtWmDeXlj3uv7nY60rjbZBTL4dP2O6hT5hb5bVuiWrX3fi/gUef748kx/3jWOXs8iIicA5wDcODcA0pFLi1B3USMIhlpCtv/PWRPtFWbdO3xgHnlFrlPK3xdLyaKZKRJ5h91XCvNuFUFcxOwh/N9BrAxcDzrnD0eRFUvAS4B2G233bQJg4oiGWmTIeevVm2yDXuMIhlpkzbyV9WFC1YA7tj9I4A7gZXAQhGZBpD8X4AZmZf2m0gkUp9ok5FIy1T1ML8CvENEbgAOBd4InKCqPxWRe4DzReSzwDuBpap6n4j8I2bk3hcwNdv3A39T5Gbbtm3bsG7dunsrxrUoc4ANLd+j78Q06CYNDhWRa1X1lxsMszOb7MgeIeZHiGkA3aTBQYWuUtVCf8Bq4EXJ512Az2L6PNYAb3CuOwxYAmwBvgcc5Jx7M3A/xjg/DkjR+7f9B9w67DgM+y+mwWilQbTJ8f+LadCvNJAkQlMeEblVVY8ZdjyGSUyDmAZ9Ir6LmAbQrzQY6cXXI5FIJBLpiiiYO7lk2BHoATENYhr0ifguYhpAj9IgNslGIpFIJFKA6GFGIpFIJFKAKJiRSCQSiRRgrARTRM4UkdUi8oSI3CAiC0RkHxG5SkQeFZGHROQzIrJLcv18EblRRLaIyBIRWZgc31NE/kNEHhSR30mOnSUiO0Rku/e3YpjP7CMibxWR+0XkMRG5WkT2F8MnkzRYJyJvca6fKmkwQ0QuS46tT/LBrsn1Y5cGfSHaZLRJGCObHPa8lgbn6hyK2b3hVzDLfb0Hsxj154DLkmMHAEuBM5LffB/4KGb9zAuAO5Lj5wJnAjOBf0+OnQVcO+znzEmDI4GHgeOAp2O2cbocs0fiXcnzPw8zCfjoKZYGFwE/BOYC+wE3A28bxzToy1+0yWiTOWkwcjY5Th7mK4HrVPXfVHUL8JeYnRq2YzzpaYBgJng/IiIHYrY9ukhVH8NsvnuwmG2P7HXdbC3fHC8FrlbVJar6BGb1l+fibP2kqndjMuwpUywNXg38haquVdX1mK1LXjWmadAXok1Gm4QxsslxEsyrgD/8/+3de3AdZ3nH8e9PsmxJvkmKfI8iB+fiOBmHkNAkHRsCNGUmmaYMmSlML5NO3HQmlCnTadIG0hloaUPpdcJluIRSBkKbNgQMhNISQwGnEChNUwK50mBZ8t0WliVb8kXn6R971JzR2PJKPjqvztnfZ+aMtefs7vvsHr/77L67530rpq8GjpGdxbyO7Ey3H9gFfIXTDHtE1rfmRcCDZF2LPQN8okbxV8MDZD23IOk8sm34Dqcf+ukiirUPfgv4WsV81wC7acx9MFe4TrpOQgPVyYZJmBGxLyJ2AEi6FfgycA/wN2TdgnUA68n6DHwbUwx7FBEjEfGGiFgeEQ9XfH6jpLFJr7tmd8vyi4iTEXFC0h1kTTxvAh5iBkM/Ndo+iIgfR8Rw+R7IB4E3A++nAffBXOE66ToJjVUn6+3SfkqSusku668GtkTElyS9D7g+IoaAofIX80bgY5x52KMzeSyq22H2rIiIByQ9SHZWt5XsTH66Qz+dSV3uA0mrgM1k986eBl4VEQOSNtCg+2AucJ3MuE42Rp1smCtMSQuBx8luLq+PiC+VPzo2adaTwFGmHvaoLkm6V9KvA5TvGX0E6AIGmP7QT3Vpin3wZuAR4O6IuDkiBsqLNNw+mCtcJ10nobHqZMMkTLJ27T0RcXv5xvKELwPvltQhqRe4E3gkIn4CTAx71EY2tNGPImJXzSOvngPAPZJeIakVuIvszO3DZEM/dUm6lmxfPVywffAO4Pci4p8qZ27QfTBXuE66TkIj1cnJj83W64tsHL8S2RN4la9e4JNkZ7n9wDsrljnjsEenWf9vnmH9B1Nve0WM84C/BfaS3QP4KtmN8hkN/dRg+2DkNHF/vRH3wVx5uU66Tp5lH9RdnXRfsmZmZjk0UpOsmZnZrHHCNDMzy8EJ08zMLAcnTDMzsxycMM3MzHJwwjQzM8vBCdPMzCwHJ0wzM7McnDDNzMxycMI0MzPLwQnTzMwsBydMMzOzHJwwzczMcnDCNDMzy2Fe6gBqQdIi4EbgWnySYGbWCI4D3wAej4iTtSiwYcfDlLR6M127+hjlGOOcTysb5y+kGSWJZ/3KRUnKBVh+xbJkZXdtuDBZ2a3rNiQru7Q83XYPz0v3f61/6ESysp87MJKs7Kd2Hk5W9t7+oWRlD+54IVnZY4O7ieHdlI7uQ22dNC3pYbzvWx0RMWs7pGGuMCUJ2HgNS5/aySiraeUUwc/TyVJaAOhpbkkW36sWLUlWds+a5cnKXpUwYba/8qpkZZd6rkhW9mBLZ7Kynz84mqzs8YF0SWugfX+ysod1MF3Zw6eSlX2i1AIdvTRFwOghSkP9qL37cNPiNWhpD6Vd37swInZUs8y6TpiS5jc1Nb1mQ2nhY1200EkLS2jhJhazgObU4ZmZ2SyTBO3dNLd3w6qriBMjlI70o8VrftrUvgwtWUNp3/+8GngyIkrnUlbdJUxJna+ne7CPY3TRwupSK720cR2dyZpbzcxsbtD8RTR3XwbdlxHjJ4jh3ahz3X/G6CDN3evR0h7GX9rWFhFj0113XSRMSeuup/MnfYyyggUMc5KrWEoXLchJ0szMTkPN81HHWpo61hJRIo7uJ4Z2QlvXaFNHL01LLmC8//HlEXEgz/rmfMKUdBvwqT5G2UQXnaS7D2lmZvVJakKLVsKilTRFECN7GB94AtB+SVdGxA/Pto45nzCBTwM/XMWCJ7/JQVpoYi1t9NLO4roI38zMUosIGPsZpaGdxJEBaJpHU/ellHZ9f11EvJRnHXM+40T2u5f/hqztVVLPhbTv3M4hxijRQxu9tLGM+W6eNTOz/xelceLoXmKon9LIXtTaQdPSCygdO9AVET+b7vrmfMKcLCL6eTl5Ln4lS478mGEOcoIVLKCXNtbQyjz3T2BmVjhx6jhxZIDSkZ3E2BBNi1ZSOvjsLwDbS6OD5/RD4bpLmJUiYpiXk+e8QU5e30LTt3/AEItoppd2emmjzT8xMTNrWHH8CKWhfuLITogSWnw+cXjHRuBH46ODVeudp64TZqWIOAVs5+UEeukKFjz3GAcIoJc2YnwhzUrTbPvC6NEk5QIMHZh2y0PV7N2xJ1nZrfNfTFZ2DJ7Tz73OydC8dJ1k9B0+nqzsgX3Dycoe6htMVvbYvnQdNpw6sjtZ2aXhPcTwLmJ4N7S007S0h9LI3tURMWsHnYbtGq+SpGXATcDtwPOJw0lhPfBc6iAS8HYXi7e7WNYBHwC2RURNrkgKkTAnSPpBRFyTOo5a83YXi7e7WLzdteMnY8zMzHJwwjQzM8uhaAnz46kDSMTbXSze7mLxdtdIoe5hmpmZzVTRrjDNzMxmxAnTzMwsh8IlTElvl7RH0hFJj0palTqmWpB0m6QdkkYkfUvSpaljqiVJ2yVdlzqO2STpjZJelHRU0j9LWpw6ploqwnc8WRHrdcpjeKESpqQrgD8G3gSsBoaBv0gaVA1Iuhj4MHAnsAz4V+ChpEHVSDmJfBTYlDqW2SSpE/hH4G7gfLIer96bNKgaKcp3PFkR63XqY3ihEibwGuDRiPheRIwAnwUuTxxTLbwe+PeI+GpEjAJ/BVwpqStxXLWwOKQJbAAABOtJREFUiawLyJHUgcyyW4AnI2JreRSGPwfemjimWinKdzxZEet10mN4oZ6SldRCts0nJJ0HfAg4FBFvTxzarJK0AmiLiB3l6euAbUBHuQ/ehidpB/DWiHgidSyzQdJfA6WIuLs8vQAYAxaXDywNr9G/48mKWK9TH8MbpvP1PCLiJICkO8h+wzMG3Jg0qBqIiH0Tf0u6FfgocE+jVqqCWgL0TUxExHFJp8rvFyJhFk0R63XqY3hDNslKepekU6d5/R1ARDwAtAN/CGwtn7XUvam2W1K3pC8C9wNbIuJDqeOtlrN93wVxGGibmJA0n+yEON1QNTbrGrleTyXVMbxoTbL3An0R8WB5ugU4DiyLiENJg5tFkhYC/wV8B/jdojTRVWr05jpJW4BbIuKXy9NXAg9HxCVpI6udRv+OJytivU59DG/IK8wpHADukfQKSa3AXcDTjZwsy34N2BMRtxehUhXUVmCzpM3lJ2bvA/4hcUw2u4pYr5Mewwt1DxP4JHAZ2RlZW/nfW5NGVBsbgdeW72lVWhcRfadbwOpLRBySdBvwabKfGDwMvC9tVDbLilivkx7DC9Uka2ZmNlNFa5I1MzObESdMMzOzHJwwzczMcnDCNDMzy8EJ08zMLAcnTDMzsxycMM0agKQmSV9LHUeluRiT2blwwjSrc5IuB54GNqSOZcJcjMnsXDlhmtW/Z4GrqRitZA6YizGZnRMnTLMaknSDpOequc6IKEXEGJC72y5JayWNVTOOc43JbK4rWl+yZnVL0ruAmyre2hYR70kUDjA3YzKbLb7CNKsSSb8qaaekPZL+qDzc1FTzd0l6RtI78iwfEfdFxKaK13umGd8dkvZJOgTcWfH+Fkl9ko5J+q6kjeX3H5L0pxXz/bakb1czJrN64oRpVgWSLgY+ANwCXA7ccJb524GvAF+IiPunu/wM4rsI+EuykR3WUX4YR9IS4IPlcjuA/wDeXV7sC8DNFau5qfyeWSE5YZpVx68An4+IpyJiEPizKeadRzb81uGIuHcGy59WRGya4uO3AJ+LiMcj4jDwJ+X3TwCvJnuidSVwCjiv/Nm/AJdJWi1pPvAG4PNVjMmsrvgepll19AA7K6b3TjHvOuAgcImk88qD305n+Zk4f9L6d1f8/U7gtcD/AsMTb0bEsKSvk11Z9gEvNPA4i2Zn5StMs+o4RjZw84SLp5h3ANgMfJeXr/Sms/xM7AMuqJie+Ps3gLXAhRFxA1kzcaWtZM2yN+PmWCs4J0yz6vgG8BZJl0rqBn5/inmPRsRJ4G5gi6Qrprn8TDwC3CrpekkdwERT8DygGWgtP+zzNqBFksqffxF4HfBL5XWYFZYTplkVRMSjZA/tbAeeAb5Pdj9wqmWeAf4euH8my08zvqfJkvDngOeBfyt/9BlgCNgPfKQ8zyXA75SX2092f/NYRDxbrXjM6pEi/Ltis3MlqRNYFBH95elfBN4bEdfWYvnZJOljwEsR8f7UsZil5CtMs+q4EnhC0gWSVgJ/AGyr4fJVJ2m+pBVk9y8/kzIWs7nACdOsCiLim2TNq08CLwJ7gPtqtfws+Tngp8AnImL32WY2a3RukjUzM8vBV5hmZmY5OGGamZnl4IRpZmaWgxOmmZlZDk6YZmZmOThhmpmZ5eCEaWZmloMTppmZWQ5OmGZmZjk4YZqZmeXwf1MjY/03lXqPAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize=12\n", + "\n", + "xlong_min = -154.76123\n", + "xlong_max = -25.238678\n", + "\n", + "levels = numpy.arange(-3,3.1,0.5)\n", + "\n", + "fig = mp.figure(figsize=(6.5,3.5))\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "ax_list = []\n", + "\n", + "hour1 = 13\n", + "hour1_string = hour1-4+1\n", + "\n", + "hour2 = 14\n", + "hour2_string = hour2-4+1\n", + "\n", + "ax = fig.add_subplot(221)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " dmsedt_diff_latmean[hour1,:,:]*86400./1000., cmap='RdBu',\\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(a) dq/dt for hour '+'{:02d}'.format(hour1_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(222)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_adv_latmean[hour1,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(b) moist. converg. for hour '+'{:02d}'.format(hour1_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(223)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " dmsedt_diff_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(c) dq/dt for hour '+'{:02d}'.format(hour2_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(224)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_adv_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(d) moist. converg. for hour '+'{:02d}'.format(hour2_string), x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "axpos_bl = ax_list[2].get_position()\n", + "axpos_br = ax_list[3].get_position()\n", + "\n", + "cbar_ax = fig.add_axes([axpos_bl.x0, axpos_bl.y0-0.175, axpos_br.x1-axpos_bl.x0, 0.045])\n", + "cbar = fig.colorbar(contour_plot, cax=cbar_ax, orientation='horizontal')\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "fig.savefig('dmsedt_and_mse_advection_hours_'+\\\n", + " '{:02d}'.format(hour1_string)+\\\n", + " 'and'+'{:02d}'.format(hour2_string)+'.png',\\\n", + " dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-05-30T22:49:26.357631Z", + "start_time": "2018-05-30T22:49:26.099040Z" + } + }, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'numpy' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mxlong_max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m25.238678\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mlevels\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m10.1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0mfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m8\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3.5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mNameError\u001b[0m: name 'numpy' is not defined" + ] + } + ], + "source": [ + "fontsize=12\n", + "\n", + "xlong_min = -154.76123\n", + "xlong_max = -25.238678\n", + "\n", + "levels = numpy.arange(-10,10.1,2)\n", + "\n", + "fig = mp.figure(figsize=(8,3.5))\n", + "\n", + "xticks_deg_E=numpy.array((280,300,320))\n", + "xticks = -(360-xticks_deg_E)\n", + "xticks_format=[str(tick)+DEGREE_SIGN+'E' for tick in xticks_deg_E]\n", + "\n", + "ax_list = []\n", + "\n", + "hour1 = 13\n", + "hour1_string = hour1-4+1\n", + "\n", + "hour2 = 14\n", + "hour2_string = hour2-4+1\n", + "\n", + "ax = fig.add_subplot(231)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " dmsedt_diff_latmean[hour1,:,:]*86400./1000., cmap='RdBu',\\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(a) dq/dt', x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='hour '+'{:02d}'.format(hour1_string), x=0.95, y=0.91, \\\n", + " ha='right', va='top', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "ax = fig.add_subplot(232)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_conv_latmean[hour1,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(b) moisture convergence', x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='hour '+'{:02d}'.format(hour1_string), x=0.95, y=0.91, \\\n", + " ha='right', va='top', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "\n", + "\n", + "ax = fig.add_subplot(233)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_adv_latmean[hour1,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(c) moisture advection', x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='hour '+'{:02d}'.format(hour1_string), x=0.95, y=0.91, \\\n", + " ha='right', va='top', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "ax = fig.add_subplot(234)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " dmsedt_diff_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(d) dq/dt', x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='hour '+'{:02d}'.format(hour2_string), x=0.95, y=0.91, \\\n", + " ha='right', va='top', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "\n", + "ax = fig.add_subplot(235)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_conv_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(e) moisture convergence', x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='hour '+'{:02d}'.format(hour2_string), x=0.95, y=0.91, \\\n", + " ha='right', va='top', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "\n", + "ax = fig.add_subplot(236)\n", + "contour_plot = ax.contourf(xx_midpoints+360., \\\n", + " ptot_400_time_latmean_midpoints/100., \\\n", + " diff_adv_latmean[hour2,:,:]*86400./1000., cmap='RdBu', \\\n", + " levels=levels, extend='both')\n", + "\n", + "ax.set_ylim(1013.25,700)\n", + "ax.set_xticks([280,300,320])\n", + "ax.set_xlim(xlong_min+67.+360.,xlong_max+360.-7)\n", + "ax.set_xticklabels(xticks_format)\n", + "ax.set_facecolor('0.1')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_yticks([700,800,900,1000])\n", + "ax.text(s='(f) moisture advection', x=0, y=1.02, \\\n", + " ha='left', va='bottom', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax.text(s='hour '+'{:02d}'.format(hour2_string), x=0.95, y=0.91, \\\n", + " ha='right', va='top', \\\n", + " transform=ax.transAxes, fontsize=fontsize)\n", + "ax_list.append(ax)\n", + "\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "axpos_bl = ax_list[3].get_position()\n", + "axpos_br = ax_list[5].get_position()\n", + "\n", + "cbar_ax = fig.add_axes([axpos_bl.x0, axpos_bl.y0-0.175, axpos_br.x1-axpos_bl.x0, 0.045])\n", + "cbar = fig.colorbar(contour_plot, cax=cbar_ax, orientation='horizontal')\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$ day$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "fig.savefig('dmsedt_and_mse_convergence_and_advection_hours_'+\\\n", + " '{:02d}'.format(hour1_string)+\\\n", + " 'and'+'{:02d}'.format(hour2_string)+'.png',\\\n", + " dpi=600, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/gp1_calculations_for_SENSITIVITY_RUNS.ipynb b/gp1_calculations_for_SENSITIVITY_RUNS.ipynb index 92a6157..c2dab1b 100644 --- a/gp1_calculations_for_SENSITIVITY_RUNS.ipynb +++ b/gp1_calculations_for_SENSITIVITY_RUNS.ipynb @@ -9,11 +9,11 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 403, "metadata": { "ExecuteTime": { - "end_time": "2018-06-21T22:17:55.332117Z", - "start_time": "2018-06-21T22:17:54.879889Z" + "end_time": "2018-08-10T17:41:20.032324Z", + "start_time": "2018-08-10T17:41:20.001458Z" } }, "outputs": [], @@ -53,11 +53,11 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 404, "metadata": { "ExecuteTime": { - "end_time": "2018-06-16T03:15:33.299839Z", - "start_time": "2018-06-16T03:15:33.284549Z" + "end_time": "2018-08-10T17:41:26.549976Z", + "start_time": "2018-08-10T17:41:26.541988Z" } }, "outputs": [], @@ -82,14 +82,19 @@ }, { "cell_type": "code", - "execution_count": 3, - "metadata": {}, + "execution_count": 405, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:41:31.001622Z", + "start_time": "2018-08-10T17:41:30.777382Z" + } + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "001 001_with_xkzs 001_with_xkzs_and_fxpbls\r\n" + "001 001_with_extras 001_with_xkzs 001_with_xkzs_and_fxpbls\r\n" ] } ], @@ -99,27 +104,27 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 406, "metadata": { "ExecuteTime": { - "end_time": "2018-06-16T03:15:35.461639Z", - "start_time": "2018-06-16T03:15:33.496680Z" + "end_time": "2018-08-10T17:41:31.273643Z", + "start_time": "2018-08-10T17:41:31.183598Z" } }, "outputs": [], "source": [ - "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_with_xkzs_and_fxpbls'\n", + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_with_extras'\n", "file_list = sorted(glob.glob(root_dir+'/'+'wrfout*'))\n", "ds_list = [netCDF4.Dataset(file) for file in file_list]" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 407, "metadata": { "ExecuteTime": { - "end_time": "2018-05-29T22:57:04.205195Z", - "start_time": "2018-05-29T22:53:48.268834Z" + "end_time": "2018-08-10T17:44:46.476516Z", + "start_time": "2018-08-10T17:41:31.338039Z" } }, "outputs": [], @@ -142,8 +147,13 @@ }, { "cell_type": "code", - "execution_count": 7, - "metadata": {}, + "execution_count": 408, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:44:47.528116Z", + "start_time": "2018-08-10T17:44:46.484741Z" + } + }, "outputs": [], "source": [ "ptot_400 = numpy.load('DATA_ptot_400_sensitivity.npy')\n", @@ -153,60 +163,13 @@ "va_400 = numpy.load('DATA_va_400_sensitivity.npy')" ] }, - { - "cell_type": "raw", - "metadata": { - "ExecuteTime": { - "end_time": "2018-04-20T20:37:06.170072Z", - "start_time": "2018-04-20T20:36:46.200664Z" - } - }, - "source": [ - "ptot_400 = wrf.getvar(ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", - "wa_400 = wrf.getvar(ds_list, 'wa', timeidx=wrf.ALL_TIMES).values\n", - "ua_400 = wrf.getvar(ds_list, 'ua', timeidx=wrf.ALL_TIMES).values\n", - "va_400 = wrf.getvar(ds_list, 'va', timeidx=wrf.ALL_TIMES).values\n", - "tk_400 = wrf.getvar(ds_list, 'tk', timeidx=wrf.ALL_TIMES).values\n", - "prw_400 = wrf.getvar(ds_list, 'prw', timeidx=wrf.ALL_TIMES).values\n", - "\n", - "geopot_400 = wrf.getvar(ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", - "\n", - "numpy.save('DATA_ptot_400.npy', ptot_400)\n", - "numpy.save('DATA_wa_400.npy', wa_400)\n", - "numpy.save('DATA_ua_400.npy', ua_400)\n", - "numpy.save('DATA_va_400.npy', va_400)\n", - "numpy.save('DATA_tk_400.npy', tk_400)\n", - "numpy.save('DATA_prw_400.npy', prw_400)\n" - ] - }, - { - "cell_type": "raw", - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-16T03:18:10.623312Z", - "start_time": "2018-06-16T03:15:36.786789Z" - } - }, - "source": [ - "ptot_400 = numpy.load('DATA_ptot_400.npy')\n", - "wa_400 = numpy.load('DATA_wa_400.npy')\n", - "#ua_400 = numpy.load('DATA_ua_400.npy')\n", - "#va_400 = numpy.load('DATA_va_400.npy')\n", - "#tk_400 = numpy.load('DATA_tk_400.npy')\n", - "#prw_400 = numpy.load('DATA_prw_400.npy')\n", - "\n", - "geopot_400 = numpy.load('DATA_geopot_400.npy')\n", - "geopot_stag_400 = numpy.load('DATA_geopot_stag_400.npy')\n", - "tk_400 = numpy.load('DATA_tk_400.npy')" - ] - }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 409, "metadata": { "ExecuteTime": { - "end_time": "2018-06-16T03:18:35.180347Z", - "start_time": "2018-06-16T03:18:10.660845Z" + "end_time": "2018-08-10T17:44:48.949641Z", + "start_time": "2018-08-10T17:44:47.536291Z" } }, "outputs": [], @@ -216,11 +179,11 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 410, "metadata": { "ExecuteTime": { - "end_time": "2018-06-16T03:19:12.059617Z", - "start_time": "2018-06-16T03:18:35.213587Z" + "end_time": "2018-08-10T17:44:50.519055Z", + "start_time": "2018-08-10T17:44:48.957919Z" } }, "outputs": [], @@ -234,11 +197,11 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 411, "metadata": { "ExecuteTime": { - "end_time": "2018-06-16T03:19:12.148913Z", - "start_time": "2018-06-16T03:19:12.099425Z" + "end_time": "2018-08-10T17:52:44.471897Z", + "start_time": "2018-08-10T17:51:53.159322Z" } }, "outputs": [], @@ -252,11 +215,25 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 412, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:52:46.212015Z", + "start_time": "2018-08-10T17:52:44.480185Z" + } + }, + "outputs": [], + "source": [ + "pblh_400 = cont_mfds['PBLH'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 413, "metadata": { "ExecuteTime": { - "end_time": "2018-06-16T03:19:12.299918Z", - "start_time": "2018-06-16T03:19:12.185447Z" + "end_time": "2018-08-10T17:52:46.227591Z", + "start_time": "2018-08-10T17:52:46.220159Z" } }, "outputs": [], @@ -267,8 +244,13 @@ }, { "cell_type": "code", - "execution_count": 12, - "metadata": {}, + "execution_count": 414, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:55:09.950905Z", + "start_time": "2018-08-10T17:52:46.235839Z" + } + }, "outputs": [], "source": [ "rqvcuten_400 = cont_mfds['RQVCUTEN'].values\n", @@ -284,8 +266,13 @@ }, { "cell_type": "code", - "execution_count": 13, - "metadata": {}, + "execution_count": 415, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:38.462033Z", + "start_time": "2018-08-10T17:55:09.959001Z" + } + }, "outputs": [], "source": [ "xkzq3d_400 = cont_mfds['XKZQ3D'].values\n", @@ -295,8 +282,13 @@ }, { "cell_type": "code", - "execution_count": 14, - "metadata": {}, + "execution_count": 416, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:48.410388Z", + "start_time": "2018-08-10T17:56:38.470187Z" + } + }, "outputs": [], "source": [ "hfxpbl2d_400 = cont_mfds['HFXPBL2D'].values\n", @@ -307,6 +299,64 @@ "we2d_400 = cont_mfds['WE2D'].values" ] }, + { + "cell_type": "code", + "execution_count": 417, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:49.957152Z", + "start_time": "2018-08-10T17:56:48.418484Z" + } + }, + "outputs": [], + "source": [ + "deltaysu_400 = cont_mfds['DELTA_YSU'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 418, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:52.276344Z", + "start_time": "2018-08-10T17:56:49.965432Z" + } + }, + "outputs": [], + "source": [ + "qfx_400 = cont_mfds['QFX'].values\n", + "hfx_400 = cont_mfds['HFX'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 419, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:56:54.496863Z", + "start_time": "2018-08-10T17:56:52.284638Z" + } + }, + "outputs": [], + "source": [ + "hgamq2d_400 = cont_mfds['HGAMQ2D'].values\n", + "hgamt2d_400 = cont_mfds['HGAMT2D'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 503, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:08:18.455148Z", + "start_time": "2018-08-10T18:08:09.262212Z" + } + }, + "outputs": [], + "source": [ + "ri3d_400 = cont_mfds['RI3D'].values" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -316,24 +366,29 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 420, "metadata": { "ExecuteTime": { - "end_time": "2018-06-16T03:19:21.347077Z", - "start_time": "2018-06-16T03:19:19.704449Z" + "end_time": "2018-08-10T17:56:54.541036Z", + "start_time": "2018-08-10T17:56:54.505266Z" } }, "outputs": [], "source": [ - "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_with_xkzs_and_fxpbls'\n", + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_with_extras'\n", "file_list = sorted(glob.glob(root_dir+'/'+'wrfout*'))\n", "ds_list = [netCDF4.Dataset(file) for file in file_list]" ] }, { "cell_type": "code", - "execution_count": 25, - "metadata": {}, + "execution_count": 421, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:30.424992Z", + "start_time": "2018-08-10T17:56:54.549274Z" + } + }, "outputs": [], "source": [ "ptot_1000 = wrf.getvar(ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", @@ -354,8 +409,13 @@ }, { "cell_type": "code", - "execution_count": 26, - "metadata": {}, + "execution_count": 422, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:31.465909Z", + "start_time": "2018-08-10T17:57:30.433187Z" + } + }, "outputs": [], "source": [ "ptot_1000 = numpy.load('DATA_ptot_1000_sensitivity.npy')\n", @@ -366,97 +426,58 @@ ] }, { - "cell_type": "raw", - "metadata": { - "ExecuteTime": { - "end_time": "2018-05-29T23:00:32.501004Z", - "start_time": "2018-05-29T22:57:19.578559Z" - } - }, - "source": [ - "geopot_stag_1000 = wrf.getvar(ds_list, 'geopt_stag', timeidx=wrf.ALL_TIMES).values\n", - "numpy.save('DATA_geopot_stag_1000.npy', geopot_stag_400)\n", - "\n", - "geopot_1000 = wrf.getvar(ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", - "numpy.save('DATA_geopot_1000.npy', geopot_1000)\n", - "\n", - "ptot_1000 = wrf.getvar(ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", - "wa_1000 = wrf.getvar(ds_list, 'wa', timeidx=wrf.ALL_TIMES).values\n", - "ua_1000 = wrf.getvar(ds_list, 'ua', timeidx=wrf.ALL_TIMES).values\n", - "va_1000 = wrf.getvar(ds_list, 'va', timeidx=wrf.ALL_TIMES).values\n", - "tk_1000 = wrf.getvar(ds_list, 'tk', timeidx=wrf.ALL_TIMES).values\n", - "prw_1000 = wrf.getvar(ds_list, 'prw', timeidx=wrf.ALL_TIMES).values\n", - "geopot_1000 = wrf.getvar(ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", - "\n", - "numpy.save('DATA_ptot_1000.npy', ptot_1000)\n", - "numpy.save('DATA_wa_1000.npy', wa_1000)\n", - "numpy.save('DATA_ua_1000.npy', ua_1000)\n", - "numpy.save('DATA_va_1000.npy', va_1000)\n", - "numpy.save('DATA_tk_1000.npy', tk_1000)\n", - "numpy.save('DATA_prw_1000.npy', prw_1000)\n", - "numpy.save('DATA_geopot_1000.npy', geopot_1000)" - ] - }, - { - "cell_type": "raw", + "cell_type": "code", + "execution_count": 423, "metadata": { "ExecuteTime": { - "end_time": "2018-06-16T03:21:53.924436Z", - "start_time": "2018-06-16T03:19:21.378586Z" + "end_time": "2018-08-10T17:57:32.668736Z", + "start_time": "2018-08-10T17:57:31.474975Z" } }, + "outputs": [], "source": [ - "ptot_1000 = numpy.load('DATA_ptot_1000.npy')\n", - "wa_1000 = numpy.load('DATA_wa_1000.npy')\n", - "#ua_1000 = numpy.load('DATA_ua_1000.npy')\n", - "#va_1000 = numpy.load('DATA_va_1000.npy')\n", - "#tk_1000 = numpy.load('DATA_tk_1000.npy')\n", - "#prw_1000 = numpy.load('DATA_prw_1000.npy')\n", - "\n", - "geopot_1000 = numpy.load('DATA_geopot_1000.npy')\n", - "geopot_stag_1000 = numpy.load('DATA_geopot_stag_1000.npy')\n", - "tk_1000 = numpy.load('DATA_tk_1000.npy')" + "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 424, "metadata": { "ExecuteTime": { - "end_time": "2018-06-16T03:22:19.230326Z", - "start_time": "2018-06-16T03:21:53.942468Z" + "end_time": "2018-08-10T17:57:42.260667Z", + "start_time": "2018-08-10T17:57:32.676901Z" } }, "outputs": [], "source": [ - "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + "qvapor_1000 = phys_mfds['QVAPOR'].values\n", + "u_1000 = phys_mfds['U'].values\n", + "v_1000 = phys_mfds['V'].values\n", + "w_1000 = phys_mfds['W'].values\n", + "t_1000 = phys_mfds['T'].values" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 425, "metadata": { "ExecuteTime": { - "end_time": "2018-06-16T03:22:19.319747Z", - "start_time": "2018-06-16T03:22:19.266572Z" + "end_time": "2018-08-10T17:57:42.386125Z", + "start_time": "2018-08-10T17:57:42.268899Z" } }, "outputs": [], "source": [ - "qvapor_1000 = phys_mfds['QVAPOR'].values\n", - "u_1000 = phys_mfds['U'].values\n", - "v_1000 = phys_mfds['V'].values\n", - "w_1000 = phys_mfds['W'].values\n", - "t_1000 = phys_mfds['T'].values" + "pblh_1000 = phys_mfds['PBLH'].values" ] }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 426, "metadata": { "ExecuteTime": { - "end_time": "2018-06-16T03:22:19.411160Z", - "start_time": "2018-06-16T03:22:19.349894Z" + "end_time": "2018-08-10T17:57:42.402413Z", + "start_time": "2018-08-10T17:57:42.394643Z" } }, "outputs": [], @@ -467,8 +488,13 @@ }, { "cell_type": "code", - "execution_count": 30, - "metadata": {}, + "execution_count": 427, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:57:59.326420Z", + "start_time": "2018-08-10T17:57:42.408462Z" + } + }, "outputs": [], "source": [ "rqvcuten_1000 = phys_mfds['RQVCUTEN'].values\n", @@ -484,8 +510,13 @@ }, { "cell_type": "code", - "execution_count": 31, - "metadata": {}, + "execution_count": 428, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:58:06.143079Z", + "start_time": "2018-08-10T17:57:59.328864Z" + } + }, "outputs": [], "source": [ "xkzq3d_1000 = phys_mfds['XKZQ3D'].values\n", @@ -495,8 +526,13 @@ }, { "cell_type": "code", - "execution_count": 32, - "metadata": {}, + "execution_count": 429, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:58:06.706604Z", + "start_time": "2018-08-10T17:58:06.151559Z" + } + }, "outputs": [], "source": [ "hfxpbl2d_1000 = phys_mfds['HFXPBL2D'].values\n", @@ -507,6 +543,64 @@ "we2d_1000 = phys_mfds['WE2D'].values" ] }, + { + "cell_type": "code", + "execution_count": 430, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:58:06.892613Z", + "start_time": "2018-08-10T17:58:06.715066Z" + } + }, + "outputs": [], + "source": [ + "deltaysu_1000 = phys_mfds['DELTA_YSU'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 431, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:58:07.040960Z", + "start_time": "2018-08-10T17:58:06.901090Z" + } + }, + "outputs": [], + "source": [ + "qfx_1000 = phys_mfds['QFX'].values\n", + "hfx_1000 = phys_mfds['HFX'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 432, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T17:58:07.259777Z", + "start_time": "2018-08-10T17:58:07.049417Z" + } + }, + "outputs": [], + "source": [ + "hgamq2d_1000 = phys_mfds['HGAMQ2D'].values\n", + "hgamt2d_1000 = phys_mfds['HGAMT2D'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 504, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:08:43.785659Z", + "start_time": "2018-08-10T18:08:22.432440Z" + } + }, + "outputs": [], + "source": [ + "ri3d_1000 = phys_mfds['RI3D'].values" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -516,11 +610,11 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 433, "metadata": { "ExecuteTime": { - "end_time": "2018-06-16T03:23:13.554547Z", - "start_time": "2018-06-16T03:23:13.529452Z" + "end_time": "2018-08-10T18:01:57.574681Z", + "start_time": "2018-08-10T18:01:57.571137Z" } }, "outputs": [], @@ -538,11 +632,11 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 434, "metadata": { "ExecuteTime": { - "end_time": "2018-06-16T03:23:26.955194Z", - "start_time": "2018-06-16T03:23:26.933513Z" + "end_time": "2018-08-10T18:01:57.862354Z", + "start_time": "2018-08-10T18:01:57.586912Z" } }, "outputs": [], @@ -561,11 +655,11 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 435, "metadata": { "ExecuteTime": { - "end_time": "2018-06-16T03:24:49.211727Z", - "start_time": "2018-06-16T03:24:49.079457Z" + "end_time": "2018-08-10T18:01:58.046861Z", + "start_time": "2018-08-10T18:01:57.864678Z" } }, "outputs": [], @@ -575,16 +669,21 @@ }, { "cell_type": "code", - "execution_count": 36, - "metadata": {}, + "execution_count": 436, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:01:58.816463Z", + "start_time": "2018-08-10T18:01:58.049236Z" + } + }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 36, + "execution_count": 436, "metadata": {}, "output_type": "execute_result" }, @@ -611,13 +710,15 @@ ] }, { - "cell_type": "raw", + "cell_type": "code", + "execution_count": 437, "metadata": { "ExecuteTime": { - "end_time": "2018-05-30T21:19:37.736845Z", - "start_time": "2018-05-30T21:19:08.895863Z" + "end_time": "2018-08-10T18:02:02.060560Z", + "start_time": "2018-08-10T18:01:58.818603Z" } }, + "outputs": [], "source": [ "mse_400 = geopot_400 + L_v*qvapor_400 + c_p*tk_400\n", "mse_1000 = geopot_1000 + L_v*qvapor_1000 + c_p*tk_1000\n", @@ -628,7 +729,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 298, "metadata": { "ExecuteTime": { "end_time": "2018-06-16T03:28:12.919623Z", @@ -650,8 +751,13 @@ }, { "cell_type": "code", - "execution_count": 39, - "metadata": {}, + "execution_count": 438, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:02.074461Z", + "start_time": "2018-08-10T18:02:02.068910Z" + } + }, "outputs": [], "source": [ "ntime = 25\n", @@ -667,8 +773,13 @@ }, { "cell_type": "code", - "execution_count": 40, - "metadata": {}, + "execution_count": 439, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:02.434660Z", + "start_time": "2018-08-10T18:02:02.082606Z" + } + }, "outputs": [], "source": [ "dthetadt_400 = numpy.zeros(t_400.shape)*numpy.nan\n", @@ -677,8 +788,13 @@ }, { "cell_type": "code", - "execution_count": 41, - "metadata": {}, + "execution_count": 440, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:03.025531Z", + "start_time": "2018-08-10T18:02:02.443116Z" + } + }, "outputs": [], "source": [ "for t in range(1,ntime-1):\n", @@ -696,8 +812,13 @@ }, { "cell_type": "code", - "execution_count": 42, - "metadata": {}, + "execution_count": 441, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:03.289319Z", + "start_time": "2018-08-10T18:02:03.033875Z" + } + }, "outputs": [], "source": [ "dqdt_400 = numpy.zeros(qvapor_400.shape)*numpy.nan\n", @@ -706,8 +827,13 @@ }, { "cell_type": "code", - "execution_count": 43, - "metadata": {}, + "execution_count": 442, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:03.894489Z", + "start_time": "2018-08-10T18:02:03.298014Z" + } + }, "outputs": [], "source": [ "for t in range(1,ntime-1):\n", @@ -725,8 +851,13 @@ }, { "cell_type": "code", - "execution_count": 44, - "metadata": {}, + "execution_count": 443, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:04.151725Z", + "start_time": "2018-08-10T18:02:03.902941Z" + } + }, "outputs": [], "source": [ "duadt_400 = numpy.zeros(ua_400.shape)*numpy.nan\n", @@ -735,8 +866,13 @@ }, { "cell_type": "code", - "execution_count": 45, - "metadata": {}, + "execution_count": 444, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:04.814072Z", + "start_time": "2018-08-10T18:02:04.160429Z" + } + }, "outputs": [], "source": [ "for t in range(1,ntime-1):\n", @@ -754,8 +890,13 @@ }, { "cell_type": "code", - "execution_count": 46, - "metadata": {}, + "execution_count": 445, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:05.065669Z", + "start_time": "2018-08-10T18:02:04.822383Z" + } + }, "outputs": [], "source": [ "dvadt_400 = numpy.zeros(va_400.shape)*numpy.nan\n", @@ -764,8 +905,13 @@ }, { "cell_type": "code", - "execution_count": 47, - "metadata": {}, + "execution_count": 446, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:05.710403Z", + "start_time": "2018-08-10T18:02:05.074859Z" + } + }, "outputs": [], "source": [ "for t in range(1,ntime-1):\n", @@ -783,11 +929,11 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 447, "metadata": { "ExecuteTime": { - "end_time": "2018-06-16T03:39:39.285415Z", - "start_time": "2018-06-16T03:39:31.016560Z" + "end_time": "2018-08-10T18:02:05.967888Z", + "start_time": "2018-08-10T18:02:05.718634Z" } }, "outputs": [], @@ -798,11 +944,11 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 448, "metadata": { "ExecuteTime": { - "end_time": "2018-06-16T03:40:20.536847Z", - "start_time": "2018-06-16T03:39:55.666539Z" + "end_time": "2018-08-10T18:02:06.612233Z", + "start_time": "2018-08-10T18:02:05.976569Z" } }, "outputs": [], @@ -822,11 +968,11 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 449, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T03:56:36.549796Z", - "start_time": "2018-06-17T03:56:36.507438Z" + "end_time": "2018-08-10T18:02:06.627700Z", + "start_time": "2018-08-10T18:02:06.620664Z" } }, "outputs": [], @@ -843,11 +989,11 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 450, "metadata": { "ExecuteTime": { - "end_time": "2018-06-16T03:38:35.833220Z", - "start_time": "2018-06-16T03:38:35.808450Z" + "end_time": "2018-08-10T18:02:06.770195Z", + "start_time": "2018-08-10T18:02:06.635881Z" } }, "outputs": [], @@ -865,9 +1011,14 @@ }, { "cell_type": "code", - "execution_count": 52, - "metadata": {}, - "outputs": [], + "execution_count": 451, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:06.920096Z", + "start_time": "2018-08-10T18:02:06.778438Z" + } + }, + "outputs": [], "source": [ "landmask_indices = numpy.copy(landmask)\n", "landmask_indices[landmask==1]=1\n", @@ -877,8 +1028,13 @@ }, { "cell_type": "code", - "execution_count": 53, - "metadata": {}, + "execution_count": 452, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.025468Z", + "start_time": "2018-08-10T18:02:06.928141Z" + } + }, "outputs": [], "source": [ "lon_indices = (xlong>=lon_lo)&(xlong<=lon_hi)\n", @@ -895,8 +1051,13 @@ }, { "cell_type": "code", - "execution_count": 54, - "metadata": {}, + "execution_count": 453, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.168968Z", + "start_time": "2018-08-10T18:02:07.033407Z" + } + }, "outputs": [ { "name": "stderr", @@ -916,8 +1077,13 @@ }, { "cell_type": "code", - "execution_count": 55, - "metadata": {}, + "execution_count": 454, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.294186Z", + "start_time": "2018-08-10T18:02:07.176823Z" + } + }, "outputs": [ { "name": "stderr", @@ -937,8 +1103,13 @@ }, { "cell_type": "code", - "execution_count": 56, - "metadata": {}, + "execution_count": 455, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.497695Z", + "start_time": "2018-08-10T18:02:07.302358Z" + } + }, "outputs": [ { "name": "stderr", @@ -970,10 +1141,59 @@ "dmsedt_1000_latlon_mean = numpy.nanmean(dmsedt_1000[:,:,latlon_indices], axis=2)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "pblh, deltaysu" + ] + }, + { + "cell_type": "code", + "execution_count": 456, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.561655Z", + "start_time": "2018-08-10T18:02:07.505750Z" + } + }, + "outputs": [], + "source": [ + "pblh_400_latlon_mean = numpy.nanmean(pblh_400[:,latlon_indices], axis=1)\n", + "pblh_1000_latlon_mean = numpy.nanmean(pblh_1000[:,latlon_indices], axis=1)" + ] + }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 457, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.680590Z", + "start_time": "2018-08-10T18:02:07.570006Z" + } + }, + "outputs": [], + "source": [ + "deltaysu_400_latlon_mean = numpy.nanmean(deltaysu_400[:,latlon_indices], axis=1)\n", + "deltaysu_1000_latlon_mean = numpy.nanmean(deltaysu_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "markdown", "metadata": {}, + "source": [ + "tendencies" + ] + }, + { + "cell_type": "code", + "execution_count": 458, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.814615Z", + "start_time": "2018-08-10T18:02:07.689916Z" + } + }, "outputs": [], "source": [ "rthcuten_400_latlon_mean = numpy.nanmean(rthcuten_400[:,:,latlon_indices], axis=2)\n", @@ -985,8 +1205,13 @@ }, { "cell_type": "code", - "execution_count": 58, - "metadata": {}, + "execution_count": 459, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:07.929757Z", + "start_time": "2018-08-10T18:02:07.822893Z" + } + }, "outputs": [], "source": [ "rthblten_400_latlon_mean = numpy.nanmean(rthblten_400[:,:,latlon_indices], axis=2)\n", @@ -998,8 +1223,13 @@ }, { "cell_type": "code", - "execution_count": 59, - "metadata": {}, + "execution_count": 460, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:08.057366Z", + "start_time": "2018-08-10T18:02:07.938086Z" + } + }, "outputs": [], "source": [ "rublten_400_latlon_mean = numpy.nanmean(rublten_400[:,:,latlon_indices], axis=2)\n", @@ -1011,8 +1241,13 @@ }, { "cell_type": "code", - "execution_count": 60, - "metadata": {}, + "execution_count": 461, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:08.281281Z", + "start_time": "2018-08-10T18:02:08.066001Z" + } + }, "outputs": [], "source": [ "rucuten_400_latlon_mean = numpy.nanmean(rucuten_400[:,:,latlon_indices], axis=2)\n", @@ -1031,8 +1266,13 @@ }, { "cell_type": "code", - "execution_count": 61, - "metadata": {}, + "execution_count": 462, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:08.418731Z", + "start_time": "2018-08-10T18:02:08.290566Z" + } + }, "outputs": [], "source": [ "xkzq3d_400_latlon_mean = numpy.nanmean(xkzq3d_400[:,:,latlon_indices], axis=2)\n", @@ -1041,8 +1281,13 @@ }, { "cell_type": "code", - "execution_count": 62, - "metadata": {}, + "execution_count": 463, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:08.579429Z", + "start_time": "2018-08-10T18:02:08.427120Z" + } + }, "outputs": [], "source": [ "xkzh3d_400_latlon_mean = numpy.nanmean(xkzh3d_400[:,:,latlon_indices], axis=2)\n", @@ -1051,8 +1296,13 @@ }, { "cell_type": "code", - "execution_count": 63, - "metadata": {}, + "execution_count": 464, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:02:08.738612Z", + "start_time": "2018-08-10T18:02:08.587686Z" + } + }, "outputs": [], "source": [ "xkzm3d_400_latlon_mean = numpy.nanmean(xkzm3d_400[:,:,latlon_indices], axis=2)\n", @@ -1063,13 +1313,76 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "adding in fxpbl2d terms" + "t (theta) for dtheta/dz info" + ] + }, + { + "cell_type": "code", + "execution_count": 465, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:03:46.184228Z", + "start_time": "2018-08-10T18:03:46.168533Z" + } + }, + "outputs": [], + "source": [ + "t_400_latlon_mean = numpy.nanmean(t_400[:,:,latlon_indices], axis=2)\n", + "t_1000_latlon_mean = numpy.nanmean(t_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "ri3d" ] }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 505, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:10:06.679089Z", + "start_time": "2018-08-10T18:10:06.414187Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", + " after removing the cwd from sys.path.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:5: RuntimeWarning: Mean of empty slice\n", + " \"\"\"\n" + ] + } + ], + "source": [ + "ri3d_400[ri3d_400==999] = numpy.nan\n", + "ri3d_1000[ri3d_1000==999] = numpy.nan\n", + "\n", + "ri3d_400_latlon_mean = numpy.nanmean(ri3d_400[:,:,latlon_indices], axis=2)\n", + "ri3d_1000_latlon_mean = numpy.nanmean(ri3d_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "markdown", "metadata": {}, + "source": [ + "adding in fxpbl2d terms" + ] + }, + { + "cell_type": "code", + "execution_count": 468, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:26.176618Z", + "start_time": "2018-08-10T18:04:26.166617Z" + } + }, "outputs": [], "source": [ "hfxpbl2d_400_latlon_mean = numpy.nanmean(hfxpbl2d_400[:,latlon_indices], axis=1)\n", @@ -1078,8 +1391,13 @@ }, { "cell_type": "code", - "execution_count": 67, - "metadata": {}, + "execution_count": 469, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:27.017608Z", + "start_time": "2018-08-10T18:04:27.007535Z" + } + }, "outputs": [], "source": [ "qfxpbl2d_400_latlon_mean = numpy.nanmean(qfxpbl2d_400[:,latlon_indices], axis=1)\n", @@ -1088,8 +1406,13 @@ }, { "cell_type": "code", - "execution_count": 68, - "metadata": {}, + "execution_count": 470, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:27.496211Z", + "start_time": "2018-08-10T18:04:27.485887Z" + } + }, "outputs": [], "source": [ "ufxpbl2d_400_latlon_mean = numpy.nanmean(ufxpbl2d_400[:,latlon_indices], axis=1)\n", @@ -1098,8 +1421,13 @@ }, { "cell_type": "code", - "execution_count": 69, - "metadata": {}, + "execution_count": 471, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:27.646321Z", + "start_time": "2018-08-10T18:04:27.636385Z" + } + }, "outputs": [], "source": [ "vfxpbl2d_400_latlon_mean = numpy.nanmean(vfxpbl2d_400[:,latlon_indices], axis=1)\n", @@ -1108,8 +1436,13 @@ }, { "cell_type": "code", - "execution_count": 70, - "metadata": {}, + "execution_count": 472, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:27.891448Z", + "start_time": "2018-08-10T18:04:27.790897Z" + } + }, "outputs": [], "source": [ "bfxpbl2d_400_latlon_mean = numpy.nanmean(bfxpbl2d_400[:,latlon_indices], axis=1)\n", @@ -1118,8 +1451,13 @@ }, { "cell_type": "code", - "execution_count": 71, - "metadata": {}, + "execution_count": 473, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:28.259071Z", + "start_time": "2018-08-10T18:04:28.253500Z" + } + }, "outputs": [], "source": [ "we2d_400_latlon_mean = numpy.nanmean(we2d_400[:,latlon_indices], axis=1)\n", @@ -1130,13 +1468,85 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# calculate diffs" + "hgam and qfx terms" + ] + }, + { + "cell_type": "code", + "execution_count": 474, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:29.328572Z", + "start_time": "2018-08-10T18:04:29.318645Z" + } + }, + "outputs": [], + "source": [ + "hgamq2d_400_latlon_mean = numpy.nanmean(hgamq2d_400[:,latlon_indices], axis=1)\n", + "hgamq2d_1000_latlon_mean = numpy.nanmean(hgamq2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 475, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:29.855876Z", + "start_time": "2018-08-10T18:04:29.845753Z" + } + }, + "outputs": [], + "source": [ + "hgamt2d_400_latlon_mean = numpy.nanmean(hgamt2d_400[:,latlon_indices], axis=1)\n", + "hgamt2d_1000_latlon_mean = numpy.nanmean(hgamt2d_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 476, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:30.019339Z", + "start_time": "2018-08-10T18:04:30.009796Z" + } + }, + "outputs": [], + "source": [ + "qfx_400_latlon_mean = numpy.nanmean(qfx_400[:,latlon_indices], axis=1)\n", + "qfx_1000_latlon_mean = numpy.nanmean(qfx_1000[:,latlon_indices], axis=1)" ] }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 477, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:30.183300Z", + "start_time": "2018-08-10T18:04:30.173255Z" + } + }, + "outputs": [], + "source": [ + "hfx_400_latlon_mean = numpy.nanmean(hfx_400[:,latlon_indices], axis=1)\n", + "hfx_1000_latlon_mean = numpy.nanmean(hfx_1000[:,latlon_indices], axis=1)" + ] + }, + { + "cell_type": "markdown", "metadata": {}, + "source": [ + "# calculate diffs" + ] + }, + { + "cell_type": "code", + "execution_count": 478, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:32.547578Z", + "start_time": "2018-08-10T18:04:32.537212Z" + } + }, "outputs": [], "source": [ "dqdt_diffs_latlon_mean = dqdt_1000_latlon_mean-dqdt_400_latlon_mean\n", @@ -1153,8 +1563,13 @@ }, { "cell_type": "code", - "execution_count": 73, - "metadata": {}, + "execution_count": 479, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:32.705749Z", + "start_time": "2018-08-10T18:04:32.701280Z" + } + }, "outputs": [], "source": [ "rucuten_diffs_latlon_mean = rucuten_1000_latlon_mean-rucuten_400_latlon_mean\n", @@ -1163,8 +1578,13 @@ }, { "cell_type": "code", - "execution_count": 74, - "metadata": {}, + "execution_count": 480, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:33.193549Z", + "start_time": "2018-08-10T18:04:33.189682Z" + } + }, "outputs": [], "source": [ "rublten_diffs_latlon_mean = rublten_1000_latlon_mean-rublten_400_latlon_mean\n", @@ -1173,8 +1593,13 @@ }, { "cell_type": "code", - "execution_count": 75, - "metadata": {}, + "execution_count": 481, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:33.378359Z", + "start_time": "2018-08-10T18:04:33.357773Z" + } + }, "outputs": [], "source": [ "xkzq3d_diffs_latlon_mean = xkzq3d_1000_latlon_mean - xkzq3d_400_latlon_mean\n", @@ -1184,8 +1609,13 @@ }, { "cell_type": "code", - "execution_count": 80, - "metadata": {}, + "execution_count": 482, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:33.534320Z", + "start_time": "2018-08-10T18:04:33.528905Z" + } + }, "outputs": [], "source": [ "bfxpbl2d_diffs_latlon_mean = bfxpbl2d_1000_latlon_mean - bfxpbl2d_400_latlon_mean\n", @@ -1197,26 +1627,84 @@ ] }, { - "cell_type": "markdown", - "metadata": {}, + "cell_type": "code", + "execution_count": 483, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:33.868646Z", + "start_time": "2018-08-10T18:04:33.864178Z" + } + }, + "outputs": [], "source": [ - "# plots for fxpbl2d stuff" + "hgamq2d_diffs_latlon_mean = hgamq2d_1000_latlon_mean - hgamq2d_400_latlon_mean\n", + "hgamt2d_diffs_latlon_mean = hgamt2d_1000_latlon_mean - hgamt2d_400_latlon_mean\n", + "\n", + "qfx_diffs_latlon_mean = qfx_1000_latlon_mean - qfx_400_latlon_mean\n", + "hfx_diffs_latlon_mean = hfx_1000_latlon_mean - hfx_400_latlon_mean" ] }, { "cell_type": "code", - "execution_count": 109, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" + "execution_count": 499, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:06:57.916697Z", + "start_time": "2018-08-10T18:06:57.908916Z" + } + }, + "outputs": [], + "source": [ + "t_diffs_latlon_mean = t_1000_latlon_mean - t_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 506, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:10:27.088831Z", + "start_time": "2018-08-10T18:10:27.081011Z" + } + }, + "outputs": [], + "source": [ + "ri3d_diffs_latlon_mean = ri3d_1000_latlon_mean - ri3d_400_latlon_mean" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plots for fxpbl2d stuff" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "$\\overline{(w'\\theta')_h}$" + ] + }, + { + "cell_type": "code", + "execution_count": 485, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:55.216721Z", + "start_time": "2018-08-10T18:04:52.934234Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -1225,33 +1713,183 @@ "fontsize=12\n", "\n", "xvals = numpy.arange(ntime)\n", - "color_list = [matplotlib.cm.magma(i) for i in numpy.linspace(0.,0.8,6)]\n", + "color_list = [matplotlib.cm.magma(i) for i in numpy.linspace(0.,0.8,4)]\n", + "\n", + "# bfx, hfx, qfx, ufx, vfx, we\n", + "labels = [\\\n", + "r\"$\\overline{(w \\prime \\theta_v \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime \\theta \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime q \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime u \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime v \\prime)}_h$\", \\\n", + "r\"$w_e$\", \\\n", + "]\n", "\n", "ax1 = fig.add_subplot(211)\n", - "ax1.plot(xvals-4, bfxpbl2d_400_latlon_mean, label='bfxpbl', color=color_list[0])\n", - "ax1.plot(xvals-4, hfxpbl2d_400_latlon_mean, label='hfxpbl', color=color_list[1])\n", + "ax1.plot(xvals-4, bfxpbl2d_400_latlon_mean, label=labels[0], color=color_list[0])\n", + "ax1.plot(xvals-4, hfxpbl2d_400_latlon_mean, label=labels[1], color=color_list[1])\n", "#ax1.plot(xvals-4, qfxpbl2d_400_latlon_mean, label='qfxpbl', color=color_list[2])\n", - "ax1.plot(xvals-4, ufxpbl2d_400_latlon_mean, label='ufxpbl', color=color_list[3])\n", - "ax1.plot(xvals-4, vfxpbl2d_400_latlon_mean, label='vfxpbl', color=color_list[4])\n", - "#ax1.plot(xvals-4, we2d_400_latlon_mean, label='w$_e$', color=color_list[5])\n", + "ax1.plot(xvals-4, ufxpbl2d_400_latlon_mean, label=labels[3], color=color_list[2])\n", + "ax1.plot(xvals-4, vfxpbl2d_400_latlon_mean, label=labels[4], color=color_list[3])\n", + "#ax1.plot(xvals-4, we2d_400_latlon_mean, label=labels[5], color=color_list[5])\n", "ax1.set_xlim(0,20)\n", "ax1.set_xticks([i for i in range(0,21,4)])\n", "ax1.set_xticklabels([])\n", "ax1.tick_params(labelsize=fontsize)\n", + "ax1.text(x=0,y=1.02,s='(a) control', ha='left',va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", "\n", "ax2 = fig.add_subplot(212)\n", "ax2.plot(xvals-4, bfxpbl2d_diffs_latlon_mean, label='bfxpbl', color=color_list[0])\n", "ax2.plot(xvals-4, hfxpbl2d_diffs_latlon_mean, label='hfxpbl', color=color_list[1])\n", "#ax2.plot(xvals-4, qfxpbl2d_diffs_latlon_mean, label='qfxpbl', color=color_list[2])\n", + "ax2.plot(xvals-4, ufxpbl2d_diffs_latlon_mean, label='ufxpbl', color=color_list[2])\n", + "ax2.plot(xvals-4, vfxpbl2d_diffs_latlon_mean, label='vfxpbl', color=color_list[3])\n", + "#ax2.plot(xvals-4, we2d_diffs_latlon_mean, label='w$_e$', color=color_list[5])\n", + "ax2.set_xlim(0,20)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticks([i for i in range(0,21,4)])\n", + "ax2.set_xlabel('hour', fontsize=fontsize)\n", + "ax2.text(x=0,y=1.02,s='(b) change', ha='left',va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2.5)\n", + "\n", + "handles, labels = ax1.get_legend_handles_labels()\n", + "ax1.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", + " ncol=1, bbox_to_anchor=(1.03,1.0), bbox_transform=ax1.transAxes, \\\n", + " loc='upper left', borderaxespad=0, labelspacing=0.333, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0., columnspacing=0.5, \\\n", + " handletextpad=0.5, markerscale=1)\n", + "\n", + "fig.savefig('figures/entrainment_output.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 486, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:55.941097Z", + "start_time": "2018-08-10T18:04:55.225291Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = mp.figure(figsize=(4.25,5))\n", + "\n", + "fontsize=12\n", + "xvals = numpy.arange(ntime)\n", + "\n", + "ax = fig.add_subplot(411)\n", + "ax.plot(xvals-4, hgamq2d_diffs_latlon_mean*1000.)\n", + "ax.set_xlim(0,20)\n", + "ax.set_xticks([i for i in range(0,21,4)])\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s=r'$\\Delta \\,\\, \\gamma_q$', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "\n", + "ax = fig.add_subplot(412)\n", + "ax.plot(xvals-4, qfx_diffs_latlon_mean*2264.705*1000.)\n", + "ax.set_xlim(0,20)\n", + "ax.set_xticks([i for i in range(0,21,4)])\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s=r'$\\Delta \\,\\, \\overline{(w \\prime q \\prime)}_0$', x=0, y=1.02, \\\n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "\n", + "ax = fig.add_subplot(413)\n", + "ax.plot(xvals-4, hgamt2d_diffs_latlon_mean)\n", + "ax.set_xlim(0,20)\n", + "ax.set_xticks([i for i in range(0,21,4)])\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s=r'$\\Delta \\,\\, \\gamma_\\theta$', x=0, y=1.02, ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "\n", + "ax = fig.add_subplot(414)\n", + "ax.plot(xvals-4, hfx_diffs_latlon_mean)\n", + "ax.set_xlim(0,20)\n", + "ax.set_xticks([i for i in range(0,21,4)])\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s=r'$\\Delta \\,\\, \\overline{(w \\prime \\theta \\prime)}_0$', x=0, y=1.02, \\\n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.set_ylabel('W m$^{\\,-2}$', fontsize=fontsize)\n", + "\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 487, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:04:59.517204Z", + "start_time": "2018-08-10T18:04:57.033578Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = mp.figure(figsize=(4.25,4))\n", + "\n", + "fontsize=12\n", + "\n", + "xvals = numpy.arange(ntime)\n", + "color_list = [matplotlib.cm.magma(i) for i in numpy.linspace(0.,0.8,6)]\n", + "\n", + "# bfx, hfx, qfx, ufx, vfx, we\n", + "labels = [\\\n", + "r\"$\\overline{(w \\prime \\theta_v \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime \\theta \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime q \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime u \\prime)}_h$\", \\\n", + "r\"$\\overline{(w \\prime v \\prime)}_h$\", \\\n", + "r\"$w_e$\", \\\n", + "]\n", + "\n", + "ax1 = fig.add_subplot(211)\n", + "ax1.plot(xvals-4, bfxpbl2d_400_latlon_mean, label=labels[0], color=color_list[0])\n", + "ax1.plot(xvals-4, hfxpbl2d_400_latlon_mean, label=labels[1], color=color_list[1])\n", + "ax1.plot(xvals-4, qfxpbl2d_400_latlon_mean*1000., label=labels[2], color=color_list[2])\n", + "ax1.plot(xvals-4, ufxpbl2d_400_latlon_mean, label=labels[3], color=color_list[3])\n", + "ax1.plot(xvals-4, vfxpbl2d_400_latlon_mean, label=labels[4], color=color_list[4])\n", + "ax1.plot(xvals-4, we2d_400_latlon_mean, label=labels[5], color=color_list[5])\n", + "ax1.set_xlim(0,20)\n", + "ax1.set_xticks([i for i in range(0,21,4)])\n", + "ax1.set_xticklabels([])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.text(x=0,y=1.02,s='(a) control', ha='left',va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "\n", + "ax2 = fig.add_subplot(212)\n", + "ax2.plot(xvals-4, bfxpbl2d_diffs_latlon_mean, label='bfxpbl', color=color_list[0])\n", + "ax2.plot(xvals-4, hfxpbl2d_diffs_latlon_mean, label='hfxpbl', color=color_list[1])\n", + "ax2.plot(xvals-4, qfxpbl2d_diffs_latlon_mean*1000., label='qfxpbl', color=color_list[2])\n", "ax2.plot(xvals-4, ufxpbl2d_diffs_latlon_mean, label='ufxpbl', color=color_list[3])\n", "ax2.plot(xvals-4, vfxpbl2d_diffs_latlon_mean, label='vfxpbl', color=color_list[4])\n", - "#ax2.plot(xvals-4, we2d_diffs_latlon_mean, label='w$_e$', color=color_list[5])\n", + "ax2.plot(xvals-4, we2d_diffs_latlon_mean, label='w$_e$', color=color_list[5])\n", "ax2.set_xlim(0,20)\n", "ax2.tick_params(labelsize=fontsize)\n", "ax2.set_xticks([i for i in range(0,21,4)])\n", "ax2.set_xlabel('hour', fontsize=fontsize)\n", + "ax2.text(x=0,y=1.02,s='(b) change', ha='left',va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", "\n", - "fig.tight_layout()\n", + "fig.tight_layout(h_pad=2.5)\n", "\n", "handles, labels = ax1.get_legend_handles_labels()\n", "ax1.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", @@ -1268,7 +1906,9 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "\n" + ] }, { "cell_type": "code", @@ -1286,22 +1926,47 @@ }, { "cell_type": "code", - "execution_count": 69, - "metadata": {}, + "execution_count": 488, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:05:00.005327Z", + "start_time": "2018-08-10T18:04:59.977374Z" + } + }, "outputs": [], "source": [ - "ptot_400_latlon_time_mean = numpy.nanmean(ptot_400[:,:,latlon_indices], axis=(0,2))" + "ptot_400_latlon_time_mean = numpy.nanmean(ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "geopot_400_latlon_time_mean = numpy.nanmean(geopot_400[:,:,latlon_indices], axis=(0,2))" ] }, { "cell_type": "code", - "execution_count": 70, - "metadata": {}, + "execution_count": 489, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:05:00.487416Z", + "start_time": "2018-08-10T18:05:00.480752Z" + } + }, "outputs": [], "source": [ "xx, pp = numpy.meshgrid(numpy.arange(ntime), ptot_400_latlon_time_mean)" ] }, + { + "cell_type": "code", + "execution_count": 490, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:05:01.414526Z", + "start_time": "2018-08-10T18:05:01.406159Z" + } + }, + "outputs": [], + "source": [ + "xx_geopot, gg = numpy.meshgrid(numpy.arange(ntime), geopot_400_latlon_time_mean)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -1310,21 +1975,8 @@ ] }, { - "cell_type": "code", - "execution_count": 71, + "cell_type": "raw", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], "source": [ "fontsize = 12\n", "\n", @@ -1409,19 +2061,24 @@ "cbar3.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", "#cbar3.set_ticks([-.01,0,.01])\n", "\n", - "fig.savefig('figures/sensitivity_analysis_dqdt_day1.png', dpi=600, bbox_inches='tight', transparent=True)" + "fig.savefig('figures/sensitivity_analysis_dqdt_day1_ysu_and_tiedtke.png', dpi=600, bbox_inches='tight', transparent=True)" ] }, { "cell_type": "code", - "execution_count": 76, - "metadata": {}, + "execution_count": 491, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:05:15.282794Z", + "start_time": "2018-08-10T18:05:12.766977Z" + } + }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] }, "metadata": {}, @@ -1431,86 +2088,96 @@ "source": [ "fontsize = 12\n", "\n", - "fig = mp.figure(figsize=(4.25,6))\n", + "fig = mp.figure(figsize=(4.25,4))\n", "\n", "\n", - "ax1 = fig.add_subplot(311)\n", + "ax1 = fig.add_subplot(211)\n", "ax1.tick_params(labelsize=fontsize)\n", - "levels = numpy.arange(-0.25,0.251,0.05)\n", - "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", - " dqdt_400_latlon_mean.T*1000.*3600., \\\n", + "levels = numpy.arange(-0.15,0.151,0.025)\n", + "contour_plot1 = ax1.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " dqdt_diffs_latlon_mean.T*1000.*3600., \\\n", " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "ax1.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax1.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "#ax1.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000.+deltaysu_1000_latlon_mean/1000., c='firebrick')\n", "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", "# dmsedt_400_dry_latlon_areamean.T, \\\n", "# levels=[0], linewidths=[1], colors='0.1')\n", - "ax1.set_ylim(1013.25,700)\n", + "#ax1.set_ylim(1013.25,700)\n", + "ax1.set_ylim(0,3.25)\n", "ax1.set_xlim(6,18)\n", "ax1.set_xticks([i for i in range(6,19,2)])\n", - "ax1.set_yticks([700,800,900,1000])\n", + "#ax1.set_yticks([700,800,900,1000])\n", "ax1.set_ylabel('hPa', fontsize=fontsize)\n", "\n", "\n", "\n", - "ax2 = fig.add_subplot(312)\n", + "ax2 = fig.add_subplot(212)\n", "ax2.tick_params(labelsize=fontsize)\n", "\n", - "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", - " rqvblten_400_latlon_mean.T*1000.*3600., \\\n", + "contour_plot2 = ax2.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", "# dmsedt_400_dry_latlon_areamean.T, \\\n", "# levels=[0], linewidths=[1], colors='0.1')\n", - "ax2.set_ylim(1013.25,700)\n", + "#ax2.set_ylim(1013.25,700)\n", + "ax2.set_ylim(0,3.25)\n", "#ax.set_xlim(0,240)\n", "ax2.set_xlim(6,18)\n", "ax2.set_ylabel('hPa', fontsize=fontsize)\n", "ax2.set_xticks([i for i in range(6,19,2)])\n", - "ax2.set_yticks([700,800,900,1000])\n", + "#ax2.set_yticks([700,800,900,1000])\n", "\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", "\n", - "ax3 = fig.add_subplot(313)\n", - "ax3.tick_params(labelsize=fontsize)\n", + "# ax3 = fig.add_subplot(313)\n", + "# ax3.tick_params(labelsize=fontsize)\n", "\n", - "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", - " rqvcuten_400_latlon_mean.T*1000.*86400., \\\n", - " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", - "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", - "# dmsedt_400_dry_latlon_areamean.T, \\\n", - "# levels=[0], linewidths=[1], colors='0.1')\n", - "ax3.set_ylim(1013.25,700)\n", - "ax3.set_xlim(6,18)\n", - "ax3.set_xlabel('hour', fontsize=fontsize)\n", - "ax3.set_ylabel('hPa', fontsize=fontsize)\n", - "ax3.set_xticks([i for i in range(6,19,2)])\n", - "ax3.set_yticks([700,800,900,1000])\n", - "ax1.text(s='(a) dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", - "ax2.text(s='(b) dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", - "ax3.text(s='(c) dq/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "# contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + "# rqvcuten_diffs_latlon_mean.T*1000.*86400., \\\n", + "# cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "\n", + "# ax3.set_ylim(1013.25,700)\n", + "# ax3.set_xlim(6,18)\n", + "# ax3.set_xlabel('hour', fontsize=fontsize)\n", + "# ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "# ax3.set_xticks([i for i in range(6,19,2)])\n", + "# ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s='(a) $\\Delta$ dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "# ax3.text(s='(c) $\\Delta$ dq/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", "\n", "fig.tight_layout(h_pad=2)\n", "\n", "ax1pos = ax1.get_position()\n", - "ax3pos = ax3.get_position()\n", - "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", - "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", - "cbar_ax3.tick_params(labelsize=fontsize)\n", - "#cbar3.add_lines(contour_line3)\n", - "cbar3.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", - "#cbar3.set_ticks([-.01,0,.01])\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.0333, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot1, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", "\n", - "fig.savefig('figures/sensitivity_analysis_dqdt_day1_background_control.png', dpi=600, bbox_inches='tight', transparent=True)" + "fig.savefig('figures/sensitivity_analysis_dqdt_day1_ysu_zcoords.png', dpi=600, bbox_inches='tight', transparent=True)" ] }, { "cell_type": "code", - "execution_count": 75, - "metadata": {}, + "execution_count": 492, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:05:19.412545Z", + "start_time": "2018-08-10T18:05:16.624299Z" + } + }, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, "metadata": {}, @@ -1527,8 +2194,11 @@ "ax1.tick_params(labelsize=fontsize)\n", "levels = numpy.arange(-0.25,0.251,0.05)\n", "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", - " dqdt_1000_latlon_mean.T*1000.*3600., \\\n", + " dqdt_400_latlon_mean.T*1000.*3600., \\\n", " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", "ax1.set_ylim(1013.25,700)\n", "ax1.set_xlim(6,18)\n", "ax1.set_xticks([i for i in range(6,19,2)])\n", @@ -1541,10 +2211,10 @@ "ax2.tick_params(labelsize=fontsize)\n", "\n", "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", - " rqvblten_1000_latlon_mean.T*1000.*3600., \\\n", + " rqvblten_400_latlon_mean.T*1000.*3600., \\\n", " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", - "# dmsedt_1000_dry_latlon_areamean.T, \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", "# levels=[0], linewidths=[1], colors='0.1')\n", "ax2.set_ylim(1013.25,700)\n", "#ax.set_xlim(0,240)\n", @@ -1554,63 +2224,56 @@ "ax2.set_yticks([700,800,900,1000])\n", "\n", "\n", - "ax3 = fig.add_subplot(313)\n", - "ax3.tick_params(labelsize=fontsize)\n", + "# ax3 = fig.add_subplot(313)\n", + "# ax3.tick_params(labelsize=fontsize)\n", "\n", - "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", - " rqvcuten_1000_latlon_mean.T*1000.*861000., \\\n", - " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", - "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_1000_dry_latlon_areamean.T/100., \\\n", - "# dmsedt_1000_dry_latlon_areamean.T, \\\n", - "# levels=[0], linewidths=[1], colors='0.1')\n", - "ax3.set_ylim(1013.25,700)\n", - "ax3.set_xlim(6,18)\n", - "ax3.set_xlabel('hour', fontsize=fontsize)\n", - "ax3.set_ylabel('hPa', fontsize=fontsize)\n", - "ax3.set_xticks([i for i in range(6,19,2)])\n", - "ax3.set_yticks([700,800,900,1000])\n", + "# contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + "# rqvcuten_400_latlon_mean.T*1000.*86400., \\\n", + "# cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "# ax3.set_ylim(1013.25,700)\n", + "# ax3.set_xlim(6,18)\n", + "# ax3.set_xlabel('hour', fontsize=fontsize)\n", + "# ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "# ax3.set_xticks([i for i in range(6,19,2)])\n", + "# ax3.set_yticks([700,800,900,1000])\n", "ax1.text(s='(a) dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", "ax2.text(s='(b) dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", - "ax3.text(s='(c) dq/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "#ax3.text(s='(c) dq/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", "\n", "fig.tight_layout(h_pad=2)\n", "\n", "ax1pos = ax1.get_position()\n", - "ax3pos = ax3.get_position()\n", - "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", - "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", - "cbar_ax3.tick_params(labelsize=fontsize)\n", - "#cbar3.add_lines(contour_line3)\n", - "cbar3.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", - "#cbar3.set_ticks([-.01,0,.01])\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax = fig.add_axes([ax3pos.x1+0.05, ax2pos.y0, 0.0333, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot1, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", "\n", - "fig.savefig('figures/sensitivity_analysis_dqdt_day1_background_phys.png', dpi=600, bbox_inches='tight', transparent=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# for xkz terms" + "fig.savefig('figures/sensitivity_analysis_dqdt_day1_background_control_ysu.png', dpi=600, bbox_inches='tight', transparent=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "background" + "both" ] }, { "cell_type": "code", - "execution_count": 110, - "metadata": {}, + "execution_count": 497, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:06:21.039156Z", + "start_time": "2018-08-10T18:06:16.717745Z" + } + }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] }, "metadata": {}, @@ -1620,89 +2283,187 @@ "source": [ "fontsize = 12\n", "\n", - "fig = mp.figure(figsize=(4.25,6))\n", - "\n", + "fig = mp.figure(figsize=(8.5,4))\n", "\n", - "ax1 = fig.add_subplot(311)\n", + "levels = numpy.arange(0,401,25)\n", + "ax1 = fig.add_subplot(221)\n", "ax1.tick_params(labelsize=fontsize)\n", - "levels = numpy.arange(25, 376, 25)\n", - "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", - " xkzq3d_400_latlon_mean.T, \\\n", - " cmap='magma', \\\n", - " levels=levels, \\\n", - " extend='max')\n", - "ax1.set_ylim(1013.25,700)\n", + "levels = numpy.arange(-0.25,0.251,0.05)\n", + "contour_plot1 = ax1.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " dqdt_400_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax1.set_ylim(0,3.25)\n", "ax1.set_xlim(6,18)\n", "ax1.set_xticks([i for i in range(6,19,2)])\n", - "ax1.set_yticks([700,800,900,1000])\n", - "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", "\n", + "ax3 = fig.add_subplot(223)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot3 = ax3.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " rqvblten_400_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", "\n", + "ax1.text(s='(a) dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax3.text(s='(b) dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", "\n", - "ax2 = fig.add_subplot(312)\n", - "ax2.tick_params(labelsize=fontsize)\n", "\n", - "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", - " xkzh3d_400_latlon_mean.T, \\\n", - " cmap='magma', \\\n", - " levels=levels, \\\n", - " extend='max')\n", - "ax2.set_ylim(1013.25,700)\n", - "#ax.set_xlim(0,240)\n", + "levels = numpy.arange(-0.15,0.151,0.025)\n", + "ax2 = fig.add_subplot(222)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax2.set_ylim(0,3.25)\n", "ax2.set_xlim(6,18)\n", - "ax2.set_ylabel('hPa', fontsize=fontsize)\n", "ax2.set_xticks([i for i in range(6,19,2)])\n", - "ax2.set_yticks([700,800,900,1000])\n", "\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", "\n", - "ax3 = fig.add_subplot(313)\n", - "ax3.tick_params(labelsize=fontsize)\n", "\n", - "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", - " xkzm3d_400_latlon_mean.T, \\\n", - " cmap='magma', \\\n", - " levels=levels, \\\n", - " extend='max')\n", - "ax3.set_ylim(1013.25,700)\n", - "ax3.set_xlim(6,18)\n", - "ax3.set_xlabel('hour', fontsize=fontsize)\n", - "ax3.set_ylabel('hPa', fontsize=fontsize)\n", - "ax3.set_xticks([i for i in range(6,19,2)])\n", - "ax3.set_yticks([700,800,900,1000])\n", - "ax1.text(s='(a) xkzq', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", - "ax2.text(s='(b) xkzh', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", - "ax3.text(s='(c) xkzm', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", - "#K$_{\\,q}$\n", + "ax4 = fig.add_subplot(224)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot4 = ax4.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax4.set_ylim(0,3.25)\n", + "ax4.set_xlim(6,18)\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "\n", + "ax4.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax4.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax2.text(s='(a) $\\Delta$ dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax4.text(s='(b) $\\Delta$ dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2, w_pad=8)\n", "\n", - "fig.tight_layout(h_pad=2)\n", "\n", "ax1pos = ax1.get_position()\n", "ax3pos = ax3.get_position()\n", - "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.025, ax3pos.y0, 0.0175, ax1pos.y1-ax3pos.y0])\n", "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", "cbar_ax3.tick_params(labelsize=fontsize)\n", - "cbar3.set_label('m$^{\\,2}$ s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_label('g kg$^{\\,-1}$ h$^{\\,-1}$', fontsize=fontsize)\n", "\n", - "fig.savefig('figures/sensitivity_analysis_xkz_terms_background_control.png', dpi=600, bbox_inches='tight', transparent=True)" + "\n", + "ax2pos = ax2.get_position()\n", + "ax4pos = ax4.get_position()\n", + "cbar_ax4 = fig.add_axes([ax4pos.x1+0.025, ax4pos.y0, 0.0175, ax2pos.y1-ax4pos.y0])\n", + "cbar4 = fig.colorbar(contour_plot4, cax=cbar_ax4)\n", + "cbar_ax4.tick_params(labelsize=fontsize)\n", + "cbar4.set_label('g kg$^{\\,-1}$ h$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar4.set_ticks([i for i in range(0,501,100)])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_tendency_terms_background_and_percent_change_zcoords.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n", + "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "diffs" + "# for xkz terms" ] }, { - "cell_type": "code", - "execution_count": 104, + "cell_type": "markdown", "metadata": {}, + "source": [ + "just $K_m$ and $K_h$" + ] + }, + { + "cell_type": "code", + "execution_count": 509, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:11:13.907861Z", + "start_time": "2018-08-10T18:11:13.333026Z" + } + }, "outputs": [ { "data": { - "image/png": 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\n", "text/plain": [ - "
" + "" + ] + }, + "execution_count": 509, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", + "text/plain": [ + "
" ] }, "metadata": {}, @@ -1712,81 +2473,101 @@ "source": [ "fontsize = 12\n", "\n", - "fig = mp.figure(figsize=(4.25,6))\n", - "\n", + "fig = mp.figure(figsize=(4.25,4))\n", "\n", - "ax1 = fig.add_subplot(311)\n", + "levels = numpy.arange(-.75,.751,0.05)\n", + "ax1 = fig.add_subplot(211)\n", "ax1.tick_params(labelsize=fontsize)\n", - "levels = numpy.arange(25,376,25)\n", - "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", - " xkzq3d_1000_latlon_mean.T, \\\n", - " cmap='magma', \\\n", + "contour_plot1 = ax1.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " t_diffs_latlon_mean.T, \\\n", + " cmap=cmocean.cm.balance, \\\n", " levels=levels, \\\n", - " extend='max')\n", - "ax1.set_ylim(1013.25,700)\n", + " extend='both')\n", + "# contour_lines1 = ax1.contour(xx_geopot-4, gg/9.81/1000., \\\n", + "# xkzh3d_400_latlon_mean.T, \\\n", + "# colors='0.1', linewidths=[0.5], \\\n", + "# levels=[1,5])\n", + "ax1.clabel(contour_lines1, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax1.set_ylim(0,3.25)\n", + "#ax.set_xlim(0,240)\n", "ax1.set_xlim(6,18)\n", - "ax1.set_xticks([i for i in range(6,19,2)])\n", - "ax1.set_yticks([700,800,900,1000])\n", "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([0,1,2,3])\n", "\n", - "\n", - "\n", - "ax2 = fig.add_subplot(312)\n", + "ax2 = fig.add_subplot(212)\n", "ax2.tick_params(labelsize=fontsize)\n", - "\n", - "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", - " xkzh3d_1000_latlon_mean.T, \\\n", - " cmap='magma', \\\n", + "levels = numpy.arange(-100,101,10)\n", + "contour_plot2 = ax2.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " ri3d_diffs_latlon_mean.T, \\\n", + " cmap=cmocean.cm.balance, \\\n", " levels=levels, \\\n", - " extend='max')\n", - "ax2.set_ylim(1013.25,700)\n", - "#ax.set_xlim(0,240)\n", + " extend='both')\n", + "# contour_lines2 = ax2.contour(xx_geopot-4, gg/9.81/1000., \\\n", + "# xkzm3d_400_latlon_mean.T, \\\n", + "# colors='0.1', linewidths=[0.5], \\\n", + "# levels=[1,5])\n", + "ax2.clabel(contour_lines3, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax2.set_ylim(0,3.25)\n", "ax2.set_xlim(6,18)\n", - "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xlabel('hour', fontsize=fontsize)\n", + "ax2.set_ylabel('km', fontsize=fontsize)\n", "ax2.set_xticks([i for i in range(6,19,2)])\n", - "ax2.set_yticks([700,800,900,1000])\n", + "ax2.set_yticks([0,1,2,3])\n", "\n", + "ax1.text(s=r'(a) $\\Delta$ $\\theta$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s=r'(b) $\\Delta$ bulk Richardson number (Rig)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", "\n", - "ax3 = fig.add_subplot(313)\n", - "ax3.tick_params(labelsize=fontsize)\n", + "ax1.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax1.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", "\n", - "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", - " xkzm3d_1000_latlon_mean.T, \\\n", - " cmap='magma', \\\n", - " levels=levels, \\\n", - " extend='max')\n", - "ax3.set_ylim(1013.25,700)\n", - "ax3.set_xlim(6,18)\n", - "ax3.set_xlabel('hour', fontsize=fontsize)\n", - "ax3.set_ylabel('hPa', fontsize=fontsize)\n", - "ax3.set_xticks([i for i in range(6,19,2)])\n", - "ax3.set_yticks([700,800,900,1000])\n", - "ax1.text(s='(a) K$_{\\,q}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", - "ax2.text(s='(b) K$_{\\,h}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", - "ax3.text(s='(c) K$_{\\,m}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", "\n", "fig.tight_layout(h_pad=2)\n", "\n", "ax1pos = ax1.get_position()\n", - "ax3pos = ax3.get_position()\n", - "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", - "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", - "cbar_ax3.tick_params(labelsize=fontsize)\n", - "cbar3.set_label('m$^{\\,2}$ s$^{\\,-1}$', fontsize=fontsize)\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax1 = fig.add_axes([ax1pos.x1+0.035, ax1pos.y0, 0.025, ax1pos.height])\n", + "cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "cbar_ax1.tick_params(labelsize=fontsize)\n", + "cbar1.set_label('$\\degree$C', fontsize=fontsize, labelpad=7)\n", + "cbar1.set_ticks([-.75,-.5,-.25,0,.25,.5,.75])\n", "\n", - "fig.savefig('figures/sensitivity_analysis_xkz_terms_background_phys.png', dpi=600, bbox_inches='tight', transparent=True)" + "cbar_ax2 = fig.add_axes([ax2pos.x1+0.035, ax2pos.y0, 0.025, ax2pos.height])\n", + "cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "cbar_ax2.tick_params(labelsize=fontsize)\n", + "cbar2.set_label('dimensionless', fontsize=fontsize, labelpad=7)\n", + "cbar2.set_ticks([i for i in range(-100,101,50)])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_theta_and_rig.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n", + "\n" ] }, { "cell_type": "code", - "execution_count": 112, - "metadata": {}, + "execution_count": 515, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-10T18:17:18.358625Z", + "start_time": "2018-08-10T18:17:13.849157Z" + } + }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:37: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:45: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, { "data": { - "image/png": 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\n", + "image/png": 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W4joXecwmIhlLLsTZ4ixPWU+27dPkBy2eGo1Go9HkiHwkEEWG1n19Jw3x7D1JwOOeFsZMCLgTX2NxnRNPi9Md9bNxPFp0zVFzKCOCGi2m8e+dvWgG3KMp648lEiXNZWQ4FxJrwYRL0lhAXs5PRTs/n0qj0Wg0mgJTqCint7eHgNuN35M6Mc/v9qV9T2tUfdaweFpcrhmCG5HQeFHSiJhGpDRXEdlEWFwVcaUy2RSBGddnMV2gUPNqz2cKIp4i8iHgK0AtsA14QCl1sBD31mgWE/5AAJ/Xh9PpmFM9J0+f5sXNL+eoVZpE6L7x/CFfCUSxUU7vmR78nnHGTyeXTq9HZXxfuzMAgK3cMi2sERm1hvuUgNs9IzIa8LhnyGfk2HyRSkajyXR5p3zMa12M5F08RWQ58B3gPcALwIPAT4FL8n1vjWaxoJRCRPi/jz3G8a5u/uKLX8But6d9fSgUYt+BA7yy5TUmJydpbmrirTfflMcWa3TfeH6Q7wQiX++JGVHOiTPDTI0FGOqVuNePe+ewE/YgOOwhHB4/AHanMDUWmCmirpLpSGu0jMLMofpcECu5qUg2LzUX80D1OqS5oRARzxuB55VSzwCIyN8BfyUi1Uqp4QLcX6M575n0evnVfz/Df/ziSVatWI7JlPrNZ2pqite2bWPHG7tQSrFm1Sruee/vU1ZWVoAWa9B944KnEEPrvr7TBDxuJs/04nf7GOvxM+4x0TtunnG9m8wjnPFwjZtxheXV4QmFv88WUTCG8a2ukqhnGJ+W0WyIN3Ugus5oEbU4Z08BiB3ajyeiEH8uajpD6DpJKTcUQjyfBP5f1OvLgAlAf3TQaHLE1NQUp06fprlpCX6/n0AggM2WePL6K69uYefu3Vx+2aV8/A8/jMVS3NO9ReRTwMOAA3gR+AhQBuwHQlFFb1VKPS8iHcCjGP3NLuBepdT+wrY6JbpvXMDMx9C616PoH7TgDgqnxBgWd6tAztoB4BILhKBCmXGF5dblNeGwhxj3gMMZwptARGG2jMZ93gzmnSYiVTQ0kYga1yaWzGQJTHp+Z27I+7uNUqov8rOI3AV8D/iiUjn+36LRLGIqysv540//EZs2b+aH//pjQqHk0Y+rN17J1RuvLFDr5oaIrMWYB3kbsBf4AfB1DLH8mVLq7jiX/RjYFL7mo8DjwPqCNDhNdN+4MJnPofVxr5meIIxKgJ7QBJ7gVE7bAuA2Gx9Y3WIzJBSoCJph3IQLORcNjRFRu3P20P/UWG7+lJNFWeMRLxoK8ZOdzDE7HGUrpZr0KVRyUS3wI4xP9B9WSj0Vp8wDwAMALc3NhWiWRjNvKKUIBoPGVyiEiGCxWLCYzYjEn7uVjMg1JSUl+HxTBILnlbtcDzytlNoCICI/Ab4KdABHYguLSBvGPMmblVI+Efkm8LCIrFJKHShgu1OSad/Y1tZW2AZqZjDfQ+tuFKfw4Q5NMRSYzFlbovGF6/XIFGcAp9mGO7z0j0sshoRCwmgoMB0RzS2z+7RoCU00zB8roZFjERJl3scKKcxtOSjNOQqRXOQANgOvAKuUUp545ZRS3we+D7B+3brcTFbRaDIkIoRTfj9+vx+/P0AgcO7nKf8Ufr+fV7duxe8PTAufUpn/yZrNZswmEyazGaUUgUCAYDAYt00A773rLmprqpPW6XI6p4fazyN+APwQQERqgLsx+pMO4EYR+TDGcPs/KaX+BrgY2K+U8gEopUIicgC4ACga8cymb9ywYYPuG+eJXEpnvB2I0hlad6sAZwIefGp2P5FrIvfwBSbxiBFZdZtt9ACumGhotISCEQ3NNdFiG09Co0kmoZA46z5bIc0UCzL9+0uGnTkkihUxhYh43g2cUUrdX4B7aTSMj4/T1z9Ab18fvf199A8MEgqd6wijI4rxhNFsNmOzWrFOf1mwWmb+fMfb3059XV1BnicTHA4HgWCgKMSzDDN1JB8SA7BjBrhLRH4Udfj7YeFCKeUHEJGPYAiYF3gL8Hbgt8DfAq3Ar0TkZPj62NCEGyi2tVB037gAyJVw+sMZ0QHPWFpD6wDjHkM8cpU4lC0+FaREzAnPu1G4yHykJlu8HhV3aD8emWbGa/JPIcRzHfAmEYl9J+xUSnUX4P6a84hJr5e+/n5DKvv66R8YwO/3IyLTEllWWkpjQwONDfVcdcUV1NbWYk2RPOPz+RgZHWVkdIzR0dHwz6OMjo3i98+WuL0HDsSV1sixTIbLlVKEQiGqq6u5YFkHnR0d1FRXZzXkXlZayuSkF58v93O/8szPlVJ/kayAUuoHIvIYRmLRk8CSiJQCIyLybeB24DGgNObyMuBsjts8VxZ03xgtZFWNTfPYkvwwV+H0xyy9E1mKJ9mC8NHSCVDTqKA3RJPXBEEzSHgOZnCqIFHPEjHjNEeG2aOG25UZFMacT7PR5znsRnvORSVzT7RsRuZ8Rs/3jI5yztyFaaZ4xr6OJRdRTU1i0hZPEVkDNMHM2K9S6tfJrlNKfQr4VFat0yx6tm7bzitbtmCxWFBKYbfbaaivp7GhnssuWU9DXV3S7O3Yul7dujXuUkM2m5XKikoqKyqorKigfWnb9M/p1j9XhoaHOXa8i988/wKDQ0PTx6sqK1nW0c4Fy5ZRW1OTVEgdZWU01NWRhbMCEAwGOTsyytDQEEPDxbGij4g8DHQrpR5TSk2KyHeBvwc+LyL/rJQaDBe1AuPAQWC1iJjCw+wmYCVGdnvRkE3fGPT751X4cp1YU6xk+pyxkhlNRDgD42ME3CNJ53PGS8aJiNy0fJrK6IG8yWcksuk022bLJuBSRufiMqu4spluJDIZClAmE8pkwhQMIuEP9NHZ8xHhTEc244lmunKpE4pyT1riGZ6cfy9wLOaUApKKp0aTDRMTEzzy6GN0tC/l0x//WFbRvwiHjx7lP3/1NJesW8enPvrAnOrKJzXV1dRUV3P5ZZfOOD589izHurp4btOLDAwOTkd3K8rL6Vy2jM6Odurr6hARHA4HP3nkhzOuV0oxNjbG0PBZBoeGjK/hITye8VlRW5PJRFVlJbU1NdRUV+X7kdNlAPiiiLwC9ACfBXYDbwZaROQLwFLgE8D9SqkjInIIeEhEvgN8HtijlDo9P83PH4WQ0MUimxHSed5kohkhnnBG5nOmK50QETlD7FzjZlBmI9nHDOQ4qz06ujk9h1OZ05LNkMmMu64RT101PrsDZTIRMpmo6TtB1VAPvpJSjq3eSCgslEpMhExmWo7voab/BOPOSvZfciPKZEZFBQcaTxyg7egbQPzoZrqymUg0MxVLvZbn3Ek34vkhYE308h8aTb54detWXnrld9x3z93U1tRkXU9vXz///vOfs6Sxkc9+6pMph9uLleqqKqqrqthwycwNbUZGRzl67DibNr/MwODgjHPRUw9EhHKXi5rqamprali1cgW1NTW4nM6ilfAYHgFWYyThlIa/3wVMYSQe9QBngP+llHo2fM0HMZZb+hqwFfhAgdtccGKFaS4iuthkE5I/czqiGSF6d5t40pnp1pdwTj4bAcbNtFDCKcGQzxgiUcpsiJbNmUPpajphyF5twVdZibuhCq+rkrKzg5SPnsBvsXF84w0AWP0+TKEgokJUTQ5jnSohZLUhFhPWUAgJBjCpEBIKYbeEsLpKKLUqGge7jONKYQoFMQcDNA4cR2Kim9nIZjqCqaWyMKT7TnwEaAC0eGryhsczziOPPcaKCzr53Kf/KGspcns8PP6zJzCbzfzhhz6IwzG3fcuLlcqKCi67ZD2XXVJUy1PmnPC6lp8Nf8Xy1gTXHAIWxkKleSLTaOhilM0Ic5XO2K0UE0U5g+NjGUtnhIh8urwmCBpZ0elkRicjMnw+TZRsKrMJW4MTZTFTPTGAArre+Q58UQJn9k9RWhLCGurDCqzbv4lycwhLKCZ663RgBS49vSN+Q8LnV4x0xT03aTWmbJfajefNVjYzFUu9N3t+SPev9qvASyLyLDG7auiMTE0uePnVV/ndlte47wP3UFOdfMmgRPj9fp548pcMDA3xB+++i7ra2hy3UqNZmCSS0FzJ5tnengWZYJRr4YRzyUPxhDPgccdNIkoXu1OoJwCDFlqClrSy3dPNNneZFd61nbC0jrHqSgKV5WAyUTY8QNNLv8ZWbqFm6BTm/i5cwXHKJsew+b3YnA4IRyLrUyzsnggjpiqERAiJKfyziZAI1qCfHQ0X4/RPcrnv1PTTRAtnurKZK5HUkdG5ka54fgN4FtjGzO3pNJo5MeZ288iPH2XtmjV87jOfzqqOUCjEr3/7HHv27eP37ngny9rbc9vIOPiGZwf/S6ob8n5fjWauLObIZjRzkc54wpksyhnJWvd7xpPO50wHu1OMPdTDkc9YIlnm55gtpw57iIDLweTSZvw1VVRv2gLA1IoGvFXVlHlGsB85hcs/RplnBEezIZYdg4fPJfOUmLHUNgIQRBi3ljLhrMFtLsFrshGKiCQS9bMpzjFBSeL1KktCftp9QxwqbWTA5qdJTQCJZTNWChPJppbH+SNd8WwGNiil8rNVgmZRsmnzZrbt2Ml9H7iHqsrKrOp47fVtPP/ii9xy04287S3ZiWs6xBPNbMpE0JKq0cwPhRTO6ChnLqQzQmSZJcK7BqUikgjkc5UztqyD/uYWfFVG8mCJe5TKFgvmgJ/qHZspcRnD79NZ4xUOjAUjwOxy4TPb8FjKcFvLGC+twG0uYcJUggpPjTKpEGUEMKMwASYUFhQmFCYVmD5mvA6XUercsajrggh7pApviYNyNcU+UzWNJRaskplsZiKZFld270WZYEVmT3OIQ+kiX0D+G8CXROSvlVLxl/zXaNJkdHSUHz36GJesW8dDf5TdSluRTPXL1l/M5z/7YF6SZDIRyVzVrYVUo8kf2UpnPOEEZu0+lEo4vR7FuMc0LYJzWXrI4QwlXTMzOtPcNDqMzTvJRHMNQ2suxDU6QMPhHVQO9WCf9GBtKAGMpKRIRDMoJrxVDQxbw5Jpd+E22wlELSRfqgKUM0WTGsMVmqKytASnhLJezg0k/HWOCf8Ux4JO1lsm2BmwcdhUwTpn8iH0WSJaAJnUpE+64vlFwAF8QUSmMGL3AoSUUudn5oYmL/x20yZ279nLhz/4ASrKM59vE8lUb25qykumej5lM5P7awHVaHJHPoQzneShWOEc9xrSNh5nf/NMJTReeVu5Bb+1hJGaJnprmxirbiRkttBxYjdV/UexyzCNbzyDNeg3BLPSBpXVTJmtjJZWMlleY0imzcmEyUbEIM0qRDl+mtUELuWn0m6lXIJYo5pgceVnTv3aEPSchS7KWOa0gkkwlZVkLJsWvSh80ZDuu/bDwC9jjjmBf8htczTnK2dHRnjkx49y+WWX8eAnP5Hx9W6Ph58+8QRmsyXnmerzLZvx0AKq0eSGXEpnNsPq56TTRE/Ueu/R+5tnK6G2cgsKMFU4sIQCBEwWdq6/DWUyUeKbYMlYDzXuASonz2IKZ45bXC4UMGZ1MGSvZKishlFzqSGZSuEgQAV+WtQolTYL5RKiLCqKaXHFX983X3MmzcB6k59XByZZ5ixjVa0r7v3iRTVjZVNnqRcH6YrnR4FapdRfiEgVRpb7h4F/yVvLNOcFExMTvPjKKxw6fIQH7r8Pl9OZ9rVKKUbHxnjm188yODTEH7zn3XNa1zOaYpTNeGgB1WiyJ5F0zjXKGb3dZWrhNOMOCm4UoxLErYw5npHdgNzBzCQ0snuPr76eUzWtDFc3YfdPsv7kdmNJor79VJqCOAMTxqC1GSyNS5gSM0MWBwMWF4NWF1NiBqWoZIqVVi/1pgDlEsQyPX9y5q6zqcQyn1LX4VB0TQyye8BNx5IGPD4/U2fdtLe1zmzDIhZNEbkQ2A4sVUr1isjnMTbPAPiOUurL4XLVGNsKvwnoAj6qlNpcyLamK57XAU+LyGUYa+O9ClymlNqft5ZpFgwjo6Mc7+riWFc3vX19MxYuLy0tZd3aC3nbzTdPlw+FQpwdGWFwcIiBoUEGBocYHBpkaso/q+5yl4trrtqYUaZ6PqTSN5R5nSU1uZNF33Cflk9NUVOM2fLZCOaMMuNRi8FHRTqzJSKdEUYlOCvJ5NwwvGnGHM6IcI61LuVU4wo8zmpEhajSY2obAAAgAElEQVT2jVI/NYLF5cLidNEBgBmFiwlnNf1SSr+UclZsgGAjRL0pwBKHiQYblJiMuZ3JxDIdgct3lviVnaX8avdRtvcM4fFO4Zn0smTJEhyVM5ffi22rdRHIp4iYMTbTsIVf3wR8GsPdJoDfisgOpdSTGCPV/RhJ47cCT4hIm1Iqt9tgJSEt8VRKDYcf5GfAIeAOpfKwSaymaAmFQpzp7eNYVxfHu7sYGzuXY1ZZUUFH+1KuvvIKGurrCQQCbHl9G339/QwND7Nl6+ts2fo6YMioiFBRUU5dTS11dbV0LG2ntqaakpL01oCbi1hmI5CFulcqUV1o8unARF28rVVisKe5zqAmN+R6vc1iE86IbKYSxGipTJfI8DoYUUGLqwKzexSItxtrgOnVB8NLH7VQck421bk1No2tKI2y0ZFOW7mRTT5VX4fJN469zM6QqwpVYmfFSBctJi82FQQT4HShnOUMYKdfShmQUnzhRKBKCbDC5KPJVUK1RRCxJhTFYpDMeFTXN7Cu3cfO4ye5atUyXj1wjDdO9HJ1lHguRukM8xBGQPCq8Ot7gO9FgoMi8l3gfSLyDPBuYLlSagR4XET+DLgR+J9CNTapeIrIfmYuAmYFOoFjIjIOoJRak7/maQqNz+ej68RJjnd30X3iJH6/EYU0mUwsaWigo6OdO267jYqK2R3PxOQkjz/xcwYGBrju6qu59qqrqKmpzjoBaD4F05+jqKk1A1GMtDmZgC40+dTMPwtxYfdMiY5sRu+Rnisi0c54RJb1sTjHCDjdWDxurE43Vtc4NrcP+1gAhyeAw2PC5TXhChr9Ybx9z41hdcFWbsFUUcZgVTN9jctwl1ay5uxRnBMDdNoDXDBxPDIlMyqqaecsxrJG1piopt1kBswLTjYjROZvXtTezNHeAfad6mPV0lb2He9mRVsztZUVi2pYPRoRWQHcB1zOud3d1gFPRBXbC/wBsALwKKVOxZy7oABNnSaVEXysIK3QzCter5cnn/4vevv6cDjKWNraRmdHB2++7rq0opBjbjc/f/KXeMbHedc7bqe1uXlO7clEODMRzFzJJMBU+L62FFHKTO4ZkVTfUJ+WT03WLAbRhNnD6LHCGXCPFKwt0dHPeALK6XEi0c9IWmQ82bS6SgiJ0L3sEvrKlxA0WynzT7Jq8gyNZv/0bj1eZxUnxEmPlOGN7K8uAZabfCwJRzVNEl57M44w5lo0C7VckcVs5pqL1/I/r75Ox5IGSmw2Xt61l9+7Ne7OuecL14vIx6Nef18p9X0AETEBPwI+o5Qaj1pWsByI/qTkDh+LPR59rmAkFU+l1KZCNURTeLxeL//5q6fp6+/ntrfeQllZGV3d3ZzuOUNbsCWldA4ODfOLp54iGAxy1x3vpL6uLuu2pLVAex4lcyrLCGk616WS0wj+4b4Z8gmJo59aPjURFotoQvw5m4mEM1GEMpZ0BCs6iz0Zsds1RnA0Mx399HrULNkMmsx4axopmzTmao6XVVIfHKd18ixVwQmsThcBm4MeKeOkODkrJQiKBlOARtMETeWllJqNqGaiZ0olm8UomrPu6yin1QEdSxrYfbSLK9asBJsNpVRe1nLOF1Ykra1Mw+/ALyqlPpSgyCeBo0qpZ2OOjzAzO6wMOBvnePS5gpHbRRA1CwKv18svfvUrBgYGedftt9N98iQf+MhHWb1yBU2NjWy49JKUEvnyq6+y/+Ahfv/37qQyzrB7uiQTzlyKZrZiea7+/pRlrNX1Wd87IqeR50g3+qlZfCwm0YTECULRwhkrm4nmd8aTr3QFNV1SRT9tbh9g7Azkq66nq6qFvoomQghvdh/CQoiN3pNYnS5UqZkRajhpq+J00EYQwSlB1pgn6aiwYzdZiLyNp7tVZISFIJoz2hCVsb7xotWc6h/k9PAIt91wXUGls8j+/90A3C4i74s61gVMAmsxtjoHWAO8ET5XJSLVSqnhqHPfKURjI2jxXERMer384qlfMTg4yJ3vuJ22VmMpir7+ftauXs2P/unbadd1zcaNXLNxY1btSBXdTEc4cyGa6chkJiSqL5GQRhM7dJ9O9FNHPRcfZqt1vptQEFJloyeKbkaEM55Mmh0VaWWkxxO2dKKds+qJEVAvRhKW1elgzF7OwSVrGC1xISpEo3+MdrMPu9OBAIGyCo4HbZwI2nArM+agosUO7XZFjcWEiD2jqOZCk8xYYpdJcpaWcvnFF/HK9p0cP3WaYDDE8MgoV66/KG9tKDLhBEApdVf0axFRQDuwHviWiPwHxprrDwL3hYfjnwL+UkS+ALwfcAFbCtluLZ6LgEmvl1/88ikGh4b4vXe+g9aWlhnnm5ua6Ovv5/UdO/jdltdobGjgPXe+K6dtmItspjtsnkg2sxHMqSyl1BZHMpPdP1ZKp4b6Mop+avnUnC+ks/RRusIZcGc/zD6X5ZLiERl+NzWaUK4JSpWfgMlGwGJjTegsLWqc0nInSpXQH3LQHbTR67OiEKotikvtiqXV5VhNs6N6cxXNXEjmfOwIZHGWs3alkwPHjvPy6ztob2liz6EjtLc00VBrrPWcy4z2YpTOZCil/kdEfgzsxlhe4W+UUi+ET38GeBQYBg4A7y70KkVaPM9jJiYn+cUvn2JoeJjfu+OdCZN+QirElN/PPz/yL9TV1LBt50727t/PFx76LKV2+5zakE/hTBbVTCR72QrlzPsOzHhtqzk3LSFR/fGEFGa2MyKhmUY/tXxqFjrpDKdD+sIZjJPRHhwfw5ymJOUyg9sXgsNSwVFLBXWVfi7z91IJ3FQ2iYjgLWvmoBe6vTAZEkpMwvJyKx1OKxU2Y85msmHzlAu7z1Eui22rycjvwmwycf3ll/Hks88hCGWldl7cuo273nozJpMpJ/dagMIpUT9/DfhanDJ9wC2FbFcsBRNPEXkJ+BOl1KuFuudiJSKcw2fPcuc735Eyy9xqsbDx8g3c/8EP0N7WxomTJ7n3Y5/glhtv5OqNV2Z8/3zJZr5FM1Yo53JdtIwmakesjEaeIVpA041+avlc2CzW/jEfwhnwuEmXTGQ0U7whODwBRychCLSUwKoyKyWWVoIKTvug22+hfziIAA2lFi6rLafZVYo5TnQzn4JZbHKZLkvq61jV2cHew0e4Yv1FvLpjF/uOHGXtiuVzqnehCedCI+/iKSJvBe4Ers33vRYjSin6+vvZvXcfh48eJRgMYrVauf3Wt9HSlN5/nsaGBr765w8DRuJRW2srHUuXcvDw4YzEM9tEoUxlM9nQdSLRzEYqfYPDqQuFKamduXtGNjIaEVH/cH9c+TTO9S3KxCMR+RTwMMZqNC8CHwF6gW9ibN87DnxVKfW9cPkOjOGky4BdwL3FuNPaQu8fs108Ph/D6rFRzoiARpYgSnQsnnwG3KMJM9RjSSSEx856OTw5RavDypoKG+U2M2NTQXZ5oWtkAn9I4bDCuvpyllWVUWa15EUuF6pUxiNe5Hfj+os5fvI0XSd7aG6oZ8vO3VywtA0w/h4yGXLXwlkYChHxvDZ8H08B7rUo6Ovv59WtW+nqPoGI0NjQwLq1F3LD9ddltVj7yOgozz73PMs7l7F+3ToGh4YIqRDl5an/wxZCNjONZiaSzExEMhHegZl/xvY6Z8K6M5XRqeH+tORzsSEia4GvALdhLHb8A+DrwAvAzRhZmdXA8yKyRSm1A/gxsCl8zUeBxzEm3BcbC65/nOtORcmkM0L04u85mYcYJZpA3ChnPNHMZMh9IhDi0ISiyWWnyVXKGruDzvoQLpuFvnEfmwc99Hi8mARay0vprHLQVF+fNCM7k2efT8HMdPH2bObRJrpHqb2EjZesY9OW17li/UWsXbGcEptt+nz031sqCT3b26PlswDkXTyVUl8CEJGbU5XVxMfjGWfr9u3s3b+fUChEXW0tV115Be+87bacLCNRVlrKvgMH+NV/P8NNb76B17fvYFl7O7e/LfGivImEM1+ymWzIPBvRjBXIbEkkovHuHyuiMLPttpq6tOQzOuq5SLgeeFoptQVARH4CfBVoAb6ulDoNnBaRx4H3isgQcAlws1LKJyLfBB4WkVVKqQPz9AxxWSj9Yy62xUwlnKlkJCJhFldlRovDx0rmXAVzup6wxHimAuwbcHNsZByloMxqockFFpOJ024vm08OM+L1Y7eYubi5juUN1ZRaE7/1piub85XUU0z1RFjduYwDR4+za/8h/uAdtyIicdf2jPwNJhPQQsinRRQus0pZzr5wlibNiKJJLhKRB4AHAFrmuPPNQsfv97Nrz1627dyJ1+vF4XBw+aWX8rEP348li4jmyVOneO7Fl9i4YQMr48x9sdls/MmDn+Hxnz3B9p07Wb/uIm656cZZC8hnE93MtWxmKpnpCqZnMJRWuWQ4a01zEtGpoYGk8hmPRTLc/gPghwAiUgPcDbyCsQXcjqhyezEioBcD+5VSPgClVEhEDmBsC1dU4pkO0X1jW1tbwe6byz3Y0xlan36dxlaXFlfltICaHRUEx0exOMsJeMbOvc6BYKYSpDf6Rtk34EYEOqscrKl1UeKsYF//WQ72DTPpD1BRWsJVHU101FZgTpD0UmyyudC2nxQRrr/iMp545lm27NxNbVUlB44d585bboqbaOT3jM27fC5mikY8w1tAfR9g/bp1qT8KnEcopThy7Bhbtr7O8NmzWCwW1q29kHve917KSmM3GUiPo8eO88LmzXg8Hlqam3nHrW+juqoqYfmy0lI+/MEPxD2XaXQzl7KZiWgmksxspXJkxJxWucrK4Kz7OGtNcduUSkTjyWeEVEPuCzzB6C4R+VHU6+lt4ZRSfgAR+QhGH+EF3oIxhF6028Lliui+ccOGDXnvG+dLOLMhqzmPc5SqMZ8fh9WC2SS4nC5WmKxcuKSWQCjE/t4hjh45RDCkaKpwcnVjDUsqHLMib8UimgtNMJNRW1XFRSuXs+vAIa5cv47+oWF2HzrMxatWxi2fKvqp5TN/FI14LjZ6+/rZ8vpWuk+cBBEu6OjgbW95C7U1s4dj00EpxYFDh3jpld8xOTnJsvZ23nPnuyh3uVJfHIdiks1MopmJJDNdiUyHQd+5T9C1JaFZdVdWBme1I10RjSef8YbcF8Jwu8OsqC1JLf32KcDPz5VSf5GsnFLqByLyGEZi0ZMY8yKLdlu4hUQuZTNCNtKZTrQzHrHD8JGoZzYkioqOTHjZ3TNI99AoV7QvYUVDNReUKfrGJtjS1cPpEQ8mEZbVVrCqsYaqMnvGYpwv0TyfBDMZl69by9Hukxzp6qZ1SSNb39jDBW1tlIT802Vifxepop+a3KPFs0BMTU3x+vYd7Ni1i0AgQEN9PRuvuHxO8zSDwSB79u3nlS1bmJqaYuXy5dz9++/B4XBk3c5cCWeuZTPTaGY80YwWxlwRK6Hx7p2uiNrrnGnJZyzn+3C7iDwMdCulHlNKTYrId4G/xxhaXwscDheNbAt3EFgtIqbwMLsJWImR3a4Jkw/ZjJBqmaRZx7MUznjkeuedofFJ9vQMcmJ4DIvJxJoltTRXOjk2MMK+3iHOTnixW62s72hlVUsjpSW21JVGtzdHsrlY5DIZJt8kGy9cyW9f30lbXS09ff28/NpWbtxwLq8w4BmLK58wO/qpo575QYtnHlFKse/AQZ5/8UWUUly5YQMP3Hcv1iy3vQuFQhw+cpSt27czfPYsIsKFq1dz3z13Y5/DQu8LSTbjiWaiaGYmojlA9hs31GGedb/oSF+kfZEheTj3HBEBTUasfC6kqGeOGAC+KCKvAD3AZzF25Pgu8DkR2QQsx5j7eY1S6oiIHAIeEpHvAJ8H9oSTkDR5Zj6lM4LFUY7FUT7nupVSvLa/m9HxSda1t3BBUx3dfcM8s6+LySk/FY5SrlndybLGOizm1KMquYxoatGcSeTvq6Opkea6WvYc72J1ext7j3Vx6arlVDodM8rq39/8UTDxVEq1F+pe883Q8DDP/PpZ+gcHWbNyJR+590OzEnXSITL3c+v27QwODSPA8gs65zQkHyFXiUL5ls10RTOZZM5FKtMhUn9EQCPtiR1mHhkxz5BPMJ4vOvoZL+qp4RFgNUZCUWn4+13AceAioBtjeP1BpVQk+vlBjHU8vwZsBeJPYC4SFkP/GHmjjxXQiIyllVSUobglKx/vfsFQiGO9Axw81cvN69dgt1m57sLlBIIhDvf08dSrbxAIhWiqruTatiaaayqTL4ekRbMgRP9NiQjXrFvDz5/fzLjXyx1vunqGdEZfk86wu4565h4d8cwR/kCAl15+hZ27d1NdWcmtt7yFhvrE2cjxUEpxvLubrdu209ffDyJ0drRz8w03UF83dwHJdkehTIUz17KZiWgmk8wBfAnPZUsd5z5QDBCcJZ+Q2+jnYkQpFcCIcn42zulPhr9irzkEZL7tlibvRLLPZx2PilAWIns7+h5Tfj97Dx1m38kzTPimqHKW4Zn00nt2lIOn++gZHsEkQmdjHWuWNlEdR2Ry3WYtmtlT4XRw8fJlbD94hFVLWwGY9PkozSIApMk9WjznyKEjR/jN8y8QCAa5/uqr+OwnP5H2nE2lFCdPneK1bdvp6e0FoKOtjTddew2NDbkZQs3l9pWZRDdzLZuZimY+JDPZfSICmij6CbMFNDb6CYmjnvGy3PPJmd5eXn51S8Hup0mPoN8/Y25msUVi0lkcHpLLZ6HxTk3x02c34Q8EaKqtYcPqJkY9Hn7zxn4mp/w4SmxcsqyVFc2NlEXN39SiWRwkmsJx8fJlHDnVw8u79rK6pYFtR7q586pLqYwaRdJD7vODFs8sGB0d5Zlnf0NPby/LOzu595670172aHR0lBc2b6b75CkAWpubueqKK2huWpKTtqUSTUgum5BcODMZSp+LbMYTzWyjmQPByYTn5kqduXTG/TMR0NjoZ/SweyJi53nmCn8gwM43dvH6jh34/X4aGxq49qqNOatfkx+KWUJTkWjovRAMjY7RN3yWNR1LsdtsrF++DBGhZ3CIF3fuRoDWxnpWL22lpaEOUw426ohFC8/cSfa3YzGbuWbdGp753et4JnwoBS/vO8LN662URCWgxcpnIbLczWZw2FOv+GELKsjf29e8ocUzA0bHxvjRjx+l3OXi1re8JW1ZDAaD/Pq3z3Hw8GEqyst503XX5mzXoQhziWxCZtHNTIbS5xrZzCaimU/RTHSvTAU0WfQzNuqZT17dupUtW1/HarWyft067v/APVnNR9bMP5lI6EJaqzNXKKXoGRxi15HjnOofxGqx0FBdzfGeMxzsPsWEz4fDXsKlKy9g5dIWnFmuoZyI81E00xG0dKPg+aDRUUJ7fQ0HTp9hXXsrO46d4Dc793PjxasoLU+8rrUmv2jxzIDuEyfZsH491197TVrlQ6EQv/7tc+zau5e33Xwzt97ylpy2Z67RzXzO3ZwP4ZwvItK50JiammJszM1nPvHx+W6KJgcUKuLp94wR8IwRGB+bsXXl9Fqa87hneCIGR0Z5aeceBkfHKC2x0dmyhEnfFL94YTMArQ11XLu0ldaGurg73WTKQpLMfEf3UtWfLzGNzBe+YkUHp4bO0j/q5prVnbyy/yjP7tjHO66/ejr4o4fcC4sWzwwYnxinzFGWslwoFOI3z7/Azt27ueXGN/O2t+RuG+Z0ZBMWrnBCfOlMVzgLGe1MRHTCkfF65jPHZrvHzvWMLCo/l2hnKBTC6/MlnQJis9m45aYbs76HpvCYrdaCD6nHE83g+CgBz5jx3X1ue0qzo2L6DdzsqDC2tpwnEfUHAkz6pih3lFFaUoI/GKStoY7BkVGOnjpDmb2ES1Z0smppK86y7D88FrOwLISF0RO1MVdC6rCXcOmyNl473MWKpnpuWLeKYDCY0xFHTWZo8cyAiclJmioS7/WrlOK5TZvYtvMNbnrTm/j8g5/JyX3TlU2YW2a6Ua4wwgm5l875IDbaORfpzCSrPd78zsi6sf/6b//G9p1v8Gef+2PefP11adep0UB6ohkMR5MCHjcBjxsAi9OFxWnslGZ2lGNxVUzvAmRxlp/7OYWMzkXklFL09A9w+Hg3R0+cpLaqkotXr2LfkaOMesYZ9YzTuqSR65d3srS5KWl0M27yUxGJ3EKQyrkQeb5sBDR2qazVrU0cOTPAS/sOc83qC+hcYiRqnuwboNLlxDWHDx6azNHimQET4xM4ymZHPJVSvPDSZl7bto0br79+zsKZiWhOXxNXIjOXTSge4TSOpy+dhYh2JhtWn2ukMx0S7V405vZw30NfoKGhkXfd/nb+9qtfybhuzeIkG9EMuN34PeP43ef+f1pdxt+/1enAEt6qNyKj5rBoRmQ0NioKcx+i33PoMDv2HsAzMYHFbKbC5eTs6BjPbHqJMrudSy9czeoLOimPsxRSPLRknj+YTMLN61fzwu6DbNpziN6zY1za2camHbswiXDr1VdQp3/HBUOLZwYMj4xQESfi+ZN//w/aWlv5/IOfmVP4fr6FE7LfNx0Sb1+ZLcUQ6Ux3/mam0pmKyDB7ZAH5VEsplbuciAjf+ruvUxb+cDQ+Pj6n7VM15z+x0hkrnADB8bG4wjk1FsDrUYx7jA+SDqcHu1OwlfuwesaxhgUv4HFjcbqno6FGnaMz9kS3uCoJjI9lJJ+e8QkOd3Vz4YoLsFosjLo9mExCqd3OpNfL0MgorUsaWXNBJ0tbmjDnYO5mvtGCORurszwnw+4Oewm3XraWbUdPsKf7NAOjbq67eC0vvbGHpze/yu033kDdHDdm0aSHFs8McLvdVJTP7Bi273wDu93O9ddcPae68zWcDrmTzlQ4a02z5DMS1YuOfEZLWCT6GS1q5zLB08uuns4kz1OSTzrtSEc0YyOcsUPrsXM7Y6UzEu1MtIzSlZdczNf+9htUVVXy3Aub2HjF5dx4/fVpJ8PlGntpKK2ors0XAm8BGqSZQSrpTEc4x71meoLgQnB5TTg8IRweP3ZnYJaARhOZExo9nJ3OHuu+qSmOnjjJ4a4T9PQZ/VVP/wBDZ0cYn5zEJEJTQz3LWi+kvbUZR44z03OFFsz5wWQycfnydhory3lx72Ge3/4GG1atYPfRLn75m+e57YbraGoo3HrJixUtnnNg+OxZnn/xRR76o09lXUcukoUgt1FO49rZ0pks2hkhnnzCTOlKJKFgiGisxMUSOyyfrqBmSqp2RJPOMHq8OZwR2YyQSjqjiezTXhIW0Wsuv4wvfePvefe77uCbf/2/+M3zz/PwV7/Gv/3Lj2htbk77WTSLm0TSOX56fJZwjkoQNwEAXCELFeNmmhIKqBv7kpmJUdFRz1R4xif4yVP/RSgUwmq1YDabCQaD9PT109rUSEdLC+3NTZRELfI+X2ixLG5a66q548qL2bTvCL/bs5/lrU0MjLrp7jmjxbMAaPFMk0AgQDB4Tib8fj/f/eGPePATH896eD0Xi71D7qUzE+x1zlnzPBPJZ4REEgrxRTSWTIQwW4x2pDc8nq5kwmzRjBArnBBfOiPRzoh0RrN0xWpufNP1vP/330N9XR0Xrl7F/oMH+dkv/nNOH4405z/R0c5Y6Zw4Mzwd5ewftOAOCm4Up/DhDk3hCU4B4DbbwFQGQTOucTMur4l6AhAWUwDO9MyST5gtoEopzvQPcOh4NyLQ1FDPsfCmGxE621roaG2hdUkjVkvh38q0XBaOXA23R+MstXP7tRvZuu8gu492UVNZyZrOZYDx/m61WnN6v2gsZoXDmfr9pSSg8taG+USLZxKUUvT29XGsq4uXXv4dd73rnYAhof/nO//Eh+5+f9Zz6PIpnYmwVtfPkk9bdX1c+YwIUHTkM3p5n+joZ7RMRSQ0VYZ2RExTDcVWEoyboJQrsknwicZ4ztSRTEi+PFI84YT4w+vR0lkSdXxZeztf/fOHAWM5JZPJxMoVK+jrn9uHC03xkYsF4GeIU+NSzO4RguNG9nlwfBRf70kCTjcWl4vJM73Y3D7szgBDvcawuitoxy0lnLL4cImFCmXGpQSXWeGwB6lpVNjKrVhdJVidDuxLmqYTjSJJRiUNrTOSi9xBOLjjDQ4d72Z8chIRMVZrOHKMMrudVZ0dLGttoamhPq9zNrVULgwSbb2aLmaTiY1rV9NYU82mHbt44n+eZeP6dWzbs48rNlzGRWtWA8b/t4W2M1gxo8UTY723k6dOcbyri+PdJ/B6jQlnIkJDfT3L2tv5+B/eT0VFBaFQiH/87vd4z53voqUp8z/EXA2tp8JW0xA36hkdPYtIaLzElYiMRgvRzPpniykYcpXOkLw9frXTREdRnbX5/NRnCrcnfiQyHRIJZaLf3YwyMb/7eNHNc+fiCydASXUDoVCI376wiePd3Txw3724PR72HzjIvXe/P2U7NAuD2L3a50pEsCzOcmhomX4TD4yPwcVGmcj8T1/fSQLuUVrCEVHvmZ7wvE9jxCeRYJY0tM5YSimCxVHOpM9HV/8gFyxfzojbzcvbdtDTd65PcZaVsqytlWWtLTTU1sx57UUtlIuXyIoN8eYSty9poLr8Gp7fsZsXt27D5XDw/Eub8fl8bLhkPaDlM5csOvEMBoMcPX6cnbt209vfjwAWi4XWlhaWtbdz1ZVXxl102x8I8NsXXmDrth3c+c530LF0acb3ziZrPRmpop0RcYknoBBfQqevTZFFDYacxpOrVMKVTtJSvreKTEY6whj3ujR+Z5B4SSTj3ollM0I86QRj4nxNdTWPPPoom17azLGuLm5+8w2svXBNWu1SStHXP8Cx48c5cvwYY2PutK7TLGyihzHjLSFkcZQTGB+jpPFcnxd5E/f1nSQ4bmS/JxLM6HqCwSC9wyOc6h/gRN8bjLiND5ibd+/H7/cDUFXuonNpG8taW6iurEgqm1okFzdz3ZI1st6nxVFOuaOM26++nC17D7D3WDclNhuvvLaVSY+ba6+9FhGZ/tCnBXRunPfiOTo2xu69e5nKDuYAACAASURBVNm7/wBTU1OYTCY6Ozq4/pqraWw49wYeCoUYGBzk0OHD9Jzp5UxfHz6fD6WMaJvJZOLqK6/kCw89mPWn7pLqhrTlM1Yu4kVA40lJLP7hvoRZ0HMlkUDFm0saTbqCNl8kE8N0yeZ3no5kTh9P8G9/6fqL+dbffYN9Bw6yds1qqqtm70ccCoU409vH0ePHOXb8OOMTE9PnGurr6exo547bbqOiooIv/39/lfFzaBYesQIXO6cuIqSRN/rIskf2xrYZb96xKKXwhASz2UxAhD3Hu9ixd/+MMqV2O0tbW2htaaalqQmXM/vRB40mFQH3yKwPRpGlvMwmE1dftIYlNdW8sH0XJpOwY98BykpLWbdqxXT5s72FbvX5xXktno88+hhmk4l1ay/kQ+//A+x2e9xy//exnzDp9VJbU0PTkkZWrVzBm990PaUJys+FiDBkGv1MJCC5Ih2JnQuZzEUtBPl+3lRk8u+ZSDITUVtTk3B5r4OHDvPbTZtY0tDAso4O7nrXHfqNXhOXeNHE2GP+OHtcByw2Tp46zbHubk6cPIXX58NmszE1ZSQhWa1W2pqbaWttobW5iYrycr19oSZnxO5alMl1kQ9PHU2N1FS4+M1rOxgaczM65iYYCk3PK87X/vKLhaIUT4vNRnVL25zr+dyf/lla5R764p/O+V4Zk4Pn02gy5aqWNq668ab5boYmS+Zjr/bkNBEMBhkbG6O0tJSuri5+/u+PEwicy2Q3m800NzezYsUKOjo6qK+v16KpyYLC/t03ARdceR2//vWv2bp1K8PjEzQ1NXHLLbfkNeN9MVAQ8RSRtwLfxvi3/C/gw0opPYFMo9GkhYh8CPgKUAtsAx7AWKdnPzPXvbpVKfW8iHQAjwKXAbuAe5VSM8d4i4CF0DeGQiE8Hg/l5eVMTU2xdetWjh8/zujoKB6PB6/Xi9lsJhQKoZTCZDKxZMkSVq5cSWdnJ01NyfdE12iKFYvFwm233cbSpUt58skn6enpobu7m/vvv3++m7agybt4ikgV8DhwP7AJ+D7wNeDBfN9bo9EsfERkOfAd4D3ACxh9x0+BLwA/U0rdHeeyH2P0N7cBH8Xog9YXor3pUix9YzAYZHh4GLPZjMfj4cCBA3R3d+PxeJicnJxO+rFardM/R2MymaisrGT16tV0dnbS0tKCZR7W1dRo8sWFF15IY2Mjjz76KAMDA3z729+eU30mC9idqaP+lsk53SbniIgNo9+9EyMI8DbgXuDLSqm0W1uI3uGdwHal1JMAIvI3GJ/stXhqNJp0uBF4Xin1DICI/B3wV8AlwJHYwiLSFj53s1LKJyLfBB4WkVVKqQMFbHcqMu4bfT4fu3btYnBwkEAgMP0VDAapq6vDYrEwMjJCX18foVCIYDA4/b2xsRGz2czIyAhDQ0NMTU0xNTVFKJR4IWur1Up5eTkOh4OW/5+9946Pq7zy/99niuqMmiVLtuXeDbYxGFMChLoEQkgIm5AEEhIIJJQkJEuyZNkkLLubfDdtf9mUZSGkEdIJvYfQezG4d1vulmWr95k5vz/uHXE9mq5pkp736zUvae597nPPyOMznznPc85pbKSyshKfz0dFRQV+vx+/309RUZFZOjeMeSZMmMD111/PH//4R7ZsGeZ2xgs/AmYBXwYeBXYCs4GfAZ9JdpJcCM8lwErH8zVAvYj4VLUrxjUGg8EQ5j7gccfz44AeoA44TUSuxFpu/5mq/j+sCpTrVbUfQFVDIrIBmAMUkvBM2TceOnSIe++9N62bdXR04PV6CQQCDAwM4Ha78fl8lJeXU1lZycyZM6mpqRkSlKWlpUZQGgwOPB4Pl156Ka+99hq33HJLvs3JBx8HZqvqIbu5Q5eIfBbYRoEJzwqgKfzEjkAE7ONGeBoMBoCLReROx/PbVfV2AFUdKokgIhcDtwE3AVOAp4D/AqYCD4rILntoe8T8nVg+p5BI2TfW1tZy2WWX0dPTg8fjwev1Dj3Ky8uHoo9utxuPx2OEo8GQBVasWJFvE/LFAawl9kOOY+WkqOVyITzbgKGK7PYeAQ/Q6hwkIldjJQwA9IvImhzYliq1QEu+jYigEG0CY1eqFKpd89O9sLhMErZOBfC2CcA9qvrNWGNEpBa4EyvaeaWqPhAxpE1EfgJcAPwWh8+xKSPC5xQAafnGOXPmGN+YPIVoVyHaBMauVEnbN2YSEbkeuBlLAD4HXAXsB34AXAl0A7eq6m32+JEkXt4CPGb7WpeIfA74PPD9VGzOhfDcgLWXKcxCYHPkRlQ7unE7gIi8oarLc2BbShSiXYVoExi7UqWQ7SoAG8qBF4CXgAXhZWgR+ResyGj4Q8mL5WQ3AgtFxGUvs7uwPiRW5d76uBjfmGUK0a5CtAmMXalSIL7xaKxqH+cDa4E7gO9iJWGeDSwCaoCnReRVVV3JCBIvVfX3IrIZKyHyKeBE4F/C+++TJRfC8z7geyJyKtYepm8Dv8vBfQ0Gw9jgUmCfqkbWMDkTmCoi/wxMB64FrlDVLSKyCfiKiPwU+BqwRlX35NTqxBjfaDAYRsJpwEOq+iqAiNwN3Ao0At+1fd4eEfk9cImIHGKEiZeq+gYwItGd9eJqqnoIuBxLZe8CmoHvZPu+BoNhzLAEeK+IBJwPrGWkWcBe4K/At1X1SfuaT2GVXzoMnIXlgwoK4xsNBsMIuQNraR0RmYD1Jf0lhicursVKrhyWeIm18jInmZuJSEhEglEeAyKyT0TuEpG6RPPkpNiaqj4IPJjCJbdny5YRUoh2FaJNYOxKFWNXDFT1euD6GKfPjXHNJuCErBmVIYxvzDqFaFch2gTGrlTJu12qOgggIldh2dMHnIO1hO5MsAwnV1YwssTLr2KJ129i7SOdh7W/dCPWvtFvYO3FvzDWBFCgLTPD2ayFRiHaVYg2gbErVYxd+UdEHsfaZ9kEaPgwoKp6Wt4Mc1Co/x7GruQpRJvA2JUqI7HL5XVRVJFYfnk6XWCVjLvGcfj2yHur6h0i8lus6Od9WFnmzgTLcHJlGyNLvPw6ME1Ve+znq+xySjtV9ZsicgNWbc/4ryvJmxkMBsNY5zysBKSzw0tRBoPBkGeeU9WoW4VE5GagSVV/q6q9IvK/wP+HtbR+NLDZHroIeIeRJ162YK0kPe04toh3yylNwhK3cSmoBroiMktEnhGRbhFZJyKn59smABH5qojsFpEu274FebbneRE50f5dROSHItIuIntF5PMFYleZiPxKRDpEZL+I/EhEvPm2K+L4f4rIY4Vgk4hcJiI77H/He0WkKt92iUidiNxn23TQ/jd058OuXGDvd/poIYpO4xuTtsf4xjTtijieN99o39/4x+Q4CNxk+4cS4EZgNVaL4RtFpEZETsDa+/lnVd0ChBMvS7GWxlNJvLwO+LOIPCYit4vIfVjZ7f8qIrOA17C6ysWloIQn8Cfg78BErKLQd+fXHLD/0b4CnApMAF7Fag+VD1vOFZHbgFMch6/g3bIJ5wL/ISLLCsCum4AFtl3HACuwso7zbVf43DLgn3JpTyybROQY4IdYXSEagSKsTOy82oWVHdkGNGD9G56F5cDGLKq6Lt82xMD4xvi2GN84crvC5/LiG+17G/+YGr8AnsRKKDqAleV+MVbS0dtY24b+AtygquHoZ9qJl6r6FFYi0m+ArdgllVT11/b9j1bV/000T8EstYvIsViFYv9dVRX4tYhsERG3qgbzaFoQa79X+G/lxvoHywen2HY4uwRcRpSyCRyZ0ZYPu84BvqequwHE6kpzIVav13zahR1duANrM/a8HNoTy6YrgNtU9WXbvs9g1V7Lt10BrC+nLqy9jvl8749bjG9MCuMbR25Xvn1jLLuMf4yBqgaw+qZ/Ocrp6+xH5DUjTbxcbP/cZ/88VkSOVdXfANuTmaBghCdWFf3NWE71fKwXcG2eHSuq+oaIPIAVngboJcliq1mw5RsAInK243C0sgnO8/my67Mcucl4OVbZm3zbBdYG6aeA9eTYucaw6TisAr9vAdOwspxjZXHn0q5bgbd419k+BTycS7vyiYh8U1VvzbcdGN+YjC3GN47cLsijb4xjl/GPBYId9f0o1n7RPscpxYqCJkUhLbXXYoV9H8fqu/xL4D5730LeEJGzgIuAYwE/8CsKYJnLQWR5hILoSa2qa1W1U0TKReTHwIexlgjzilidHi7Bav1VKNQC/4j1H3oelnMtBMHzQ6zl0yqspcFwkfbxQk5FShyMb0wP4xtToEB9Ixj/WEh8FFimqmeo6nmOx/mpTFJIwhNgtareraq9qvozrBZ4+e6H+iHgLlVdabfquwlYLiK5DvXHIrI8QsH0pBaRM7G+Oc8CjlXVpMLwWbTHhbUn5vrItoQFwP+p6hZVPYzl0M7Mt0FY7/1bVLVdVTcCPyZG3UxD1jG+MXWMb0zenkL2jWD8Y6GwjXdLzaVNIS2178BypoCVkYgljPP9n6AHa+9GmADW3qZ82xVmA9HLJuQVETkX+APweVX9Y77tsfFjtQt71Hp74QZcIrJfVRvyaNcOHO99CuN9D9Z738kgVi/0pPCUF1NS50s4zr0nLwm9ySD5NsBmB8Y3poPxjclTqL4Rxqh/HKXcDzxuR+pbnCdU9U/JTlJIEc/HgMki8lk7zf96rIyszfEvyzoPAZeJyLG2XbcAjxXQt8K7iVI2Ic82AXwL+HIBOVbsb6ZeVS1R1RKsYrtPFoBj/QNwrYgssKNFXwEK4e/2IPAtEakSkenANcA9ebYplzySbwNsjG9MD+Mbk6SAfSOMQf/o8rjw+osTPtwlBfel/EysjkUfwXq94UdKpcoKJuKpqq0i8g9Y9ad+CLwO/KOdxZlPu54Xka9jlTOpA57F6hFdKNyBlWXWhLW05CybkE+WAD8XkZ87jj2rqmfly6AC5ldYZXKewoo0/Ab4ST4NsvkKVjHirVjf7n+mqn/Jr0m5Q1ULom+68Y1pY3zj2OBXGP9YEKjqGdGOi8jiaMdjIXn2XQaDYQwiIhdfsWDyXz4xL3HA5PtvN/HYzkPHqGrel0ENBoMhm4jIjFMaKrd/a/nMhGMf2NHCj9fs/qyq3pkD0xIiIj6sup8THIe9WBH8xPuqbAom4mkwGAyFiIi8D6t4ezVWYe2DwI9VtS/uhQaDwTC2+CVW9LkPK5t/G1ZC1VWpTFJIezwNBoOhoBCR72Atp3mA24C5WPucbsunXQaDwZAHzgY+AHwROKCqH8fqhPT+VCYxEU+DwWCIzeVYRdEVq5ZmI1a2+7Z8GmUwGAx5IIilG7cDC+1jTwK/T2USIzwNBoMhNkVYiQPnAytVtUNEGshALTuDwWAYZfwOa9vRBcBeEfk2UIxV8ippjPA0GAyG2NyBlUU+EbjB7u5yJ1Y9O4PBYBhPfAk4D6uO6mewOkh5gI+lMonZ42kwGAoeEblcRHaISJeIPCsi88XihyLSLiJ7ReTzjvEzReQFEekVkVdFZGG8+WOhql/HqlH3YVW9C8tn3k6KdesMBoMhjMvjwesrT/hwFxfl29QjUItHVPWQqm5T1ctU9WOqujaVeYzwNBgMBY2IzMWqYXkNVr3Ix7CKSl+Btdl9EVZm5X+IyDL7st9g1ZWsB/5CknuQRGSOY44wLar6LICqrlLVO1V1cGSvymAwGEYXIvJBEdksIgMiEnQ+UpnHLLUbDIZC50zgaVV9FEBEvg/8J3AZ8F1V3QPsEZHfA5eIyCGs9n9nq2q/iPwAuFlEFqjqhlg3sedtALpFZA7wfrtk0o8pjN7QBoPBkE9+BvwbVteylMSmEyM8DQZDoXMf8Ljj+XFYCT9LgJWO42uxIqBLgfWq2g+gqiER2QDMwerfHYvlqno6gIhcjyU4r6JwerYbDAZDPikD7hppW9yCX2oXkS+JyCUxzl0lIpfl0Ba1M1pTueZ0+0Mv8vgMEemLOPYREekRkZRqYhkMY4CLReQNx+Pq8AlVPaCqO8DqiITVI/kmoAJod8zRaR+LPO48F48OEfmUiNSp6k+AShH5BlAykheWLaL5RqdfybR/ND7LYBj3/AD4tohUjmSSgo54ikgFVnHSFTGG/AZ4UUTuGakCHwki4lbVtMPO9hzvx+oK8DFVfTgzlhkM+cNdXkpxbU3iccX7Ae5R1W/GGiMitVjZ5McBV6rqAyLyLaDUMawMaMXqy10aMUX4XDw+DnwWOBp42n5+FVYv5oIiCd8IKfhHEfl/wNeARfG2I0RcY3yWwTAOEJFerBJyglU+6YsiMuA4pqpalux8hR7xvAq4T1WDInKBiGwQkQ4R+YuIlNlLaU9jJRlEJdp19vFzRWS1nRH7kIhMtY+fLiKviciPROSgfe0KEVljT7lbROrtca+LyJ3AW/HmTISInImV/PBJVX0g7b+WwTAGEZFy4AXgELDA8X9kA5ZIDLMIeAfYCCwUEZd9vQuYD6yKdx9V7VbVH6nq0/bzoKrepqo5W1VJAadvvEpEDth7W68JD0jGPwKISCmWiP0lVkeShBifZTCMKxZgFYxfAMwEZkUcS6lqSKELz4uBv4vIDODXwKXAZKAG+LI95u/AB6NdHOs6EZmOlRX7JWAq1oeVM+v1eGCPfe4h4L9UNfwB16iqB+zfj8MSncuTmDMqInIy8ABws6rem2i8wTAOuRTYp6pXqGqX4/jdwI0iUiMiJ9jj/qyqW4BNwFdsUfUNYI2dhJQyIuK3s93nOR8jfE0jJewb5wDfs5/PxhLfTmL6RweXYQnUbwGfEJHqeIONzzIYxheq2qSqTVj1O/8FWGY/vxC4EtifynwFKzztKMXxWAkDHwMeUNU37Q+e64DX7KGrgJNjTBPruo8DD6rq31W1A7gFWObYv3kQ+J6d0foQlpCMRrOq/tQurRJ1Tqws2Vh4sRz4euBjIuKOM9ZgGK8sAd4rIgHnA3gUeBtowiqZdIOqbrav+RTwEeAwVqvLy9O5sYjcCLQALwEvOh4vjOD1jIgI33gJ8BdVfUFV27AKOjuJ5x/DfAH4maruBp7A2m4QC+OzDIbxy11Y25bC+utxYDFWbeOkKeQ9nhOwhHE7MA1Hb2RVXY/l+MD6YCkXkQpb8DmJep2IfBjY4jg+KCLtWN1JAA6rarglXh+x/05tjt+nJ5gzGoIlhp/E+hD5GvCdOOMNhnGHql4PXB/j9HX2I/KaTcAJGbj9V4Glye57zBFO39gI7HSc2xsxNp5/DC+Zq6q+aB/6H+BuEflhjH3rxmcZDCNEPB48fn/Cca6SRNvSc85JQK2qDoDlZ0Xkk8CuVCYpZOEZtk2w9nbVh0+IyEnAbFX9LRCyD4cYTtTrsCKajY7jlUAtlgNPnA0RnXhzxmJAVf9oj/888CcReVhVV9nHbsHaPzEDa+l+EpbAvaTAPggNhrHKAazlpULC6RsPYH3BDjMtYmw8/wjWns6fhp+o6gsi0gJchBVFjsT4LINh/LIZOB1rZSTMMiz9kzSFLDwPYkUbq4G/Ao+LyP9hfaP/b+Dn9rgaoDdi71eYWNfdAzwjIr/CWoq6BXhEVdtE4pbsC2KJyWj7GaLOyZFR0Zio6v0i8mfgLhE5PvyNAnhVVT8mIk1YiRSnY+2rME7cYMg+NwPPishfgCMihqoauaydK5y+8R7gOTvJcT2WvU5i+kcRmQmchrU31smPgRuILjyHMD7LYBh3XAfcbydbb8PaSvge4JOpTFKwezxVNYC1j2Cxqq7E2tD6MFbSwCvAL+yhRwMvx5gj6nWq+g7WN/27sJz4QuDaJMx6AHhTROqi3CvdOZ18EWtp3vmBFu6BuktVO7GiL4XVwNVgGLv8C9YXTT9W9M75yAsRvnE18E9YInEjRxbahzj+EWv7QjmwUUR2hx9YS+fvEZHlSZhjfJbBME5Q1VewVo1vx9JU92KVYEupnFohRzzBEoxnAc+o6s95N8rp5EysyGZUYl2nqndhicTI489gLRWFn7+CtWyEqn7YMfSIcXHm3Bs5zh67g4jC1Kp6mOEfaLGWyAwGQ/ZZDExU1Z58GxKB0zf+gne/iIMVsQwT0z+q6j9hidakMD7LYDDYqyd/HMkcBRvxtPk5cIGIRBXIIuIF3odVf85gMBgyza9IMyM+y8T1jWD8o8FgKEwKOuJp77n8P6yySL+NMuRS4LYCjEZkBFW9xfH7KfbPvwF/y5dNBsM44wzgWhH5D6AZq1MHAKoaWTMzZyThGyEP/tH4LIPBkIiCFp4AqnpbnHO/yqEpBoNh/JHqPu2cEc832ud/lSNTDAbDOMNu2zsX2GrXEE6agheeBoPBkC9U9dl822AwGAyFhIhcBPwnVgWf40TkFlW9O9nrjfA0GAxZwVNWTtGEYQUghuEqKUk4xmAwGMYK4vHg8SVRQL64OAfWpMV3gZNUtUVEGoE3sVoYJ0WhJxcZDAaDwWAwGPKEiNwhIsc7Du0CzhKRYuAcxkLnogk1NTq1sTHxQIPBkFXeWb26RVUThy0NOaG2tlZnzJiR1rXBwcHMGmMwjGPeXrVqPPnGa4HPichngJ8AlwHfA74JrAY+kspkBSk8pzY28vdHHsq3GQbDuGfC1OlN+bbB8C4zZszgjTfeGNEcrfsj27kbDIZUqZk0Zdz4RlUdBH4iImVYjScmAzfbtX1Txiy1GwwGwziiumFyvk0wGAwZQkQuF5EdItIlIs+KyHyx+KGItIvIXhH5vGP8TBF5QUR6ReRVEVmYxD3cIvJp4KPAD4BvAZ8Wkf8SkYZUbc6J8BSR60Vkn4h0iMhDIpK3dnMGg8FQKOTLN1Y3TDYC1GAY5YjIXOCnwDVAHfAY8AfgCuBsYBFwLvAfIrLMvuw3wLNAPVar3d8ncatfAafYj1+qartds/cHwA0icmuca4eRdeEpIkcD/wZ8CCs824mVEWUwGAzjlkLwjWEBakSowTAqORN4WlUfVdVe4PvAUqw9mN9V1T2quhpLXF4iItOAZcCtqtqBJRxniMiwtt4RnI8lbq8F3h8+qKrNqnoT0duZxyQXEc/TgIdU9VW7x+fdwFE5uK/BYDAUMgXlG40ANRhGHfcBX3A8Pw7oAZYAKx3H1wJzsETpelXtB1DVELDBPhePV4GvAzcBr0WeVNWdqRidC+F5B3AVgIhMwGrj9lIO7mswGAyFTEH6RiNADYbsEq7jmejhLi4BOE1E3nA8rg7Po6oHwgk+InIx8CCWOKwA2h237LSPRR53novHpVjJ6F7gE2m/cJusZ7Xb2VCIyFXA7UAfVt2nI7D/mFcDNE6Zkm2zDAbDKEREnge+qqqviMhsYD0Qcgw5T1WfFpGZwF1YEYBVwKdVdX3uLY5NOr5x2rRpObPPKT5NJrzBkDeeU9XLY50UkVrgTixfd6WqPiAi3wJKHcPKgFagLeK481xMVLUVq3RSRshZVruq3oH1Av8ZuE9EvBHnb1fV5aq6fEJNTa7MMhgMowAROVdEbsPa3B5mNvBnVS1xPJ62z6WzgT4vpOIb6+ryUzbQREENhsJDRMqBF4BDwAJVfcA+tQE42jF0EfAOsBFYKCIu+3oXMB/ry3nOyEVy0c0ichmAvfn1f4EaEod2DQaDIcwpWCs0XY5jM4EtkQNHsIE+p4xG32iSkQyGguJSYJ+qXmHvEw9zN3CjiNSIyAn2uD+r6hZgE/AVESkFvgGsUdU9uTQ6FxHPg8BNIjJLREqAG4HVqnooB/c2GAxjAFX9hqp+FuubfZiZwHkisltEdorITfbxdDfQ55pR7RuNADUY8s4S4L0iEnA+gEeBt4EmrBWfG1R1s33Np7A6DR0GzgJiLuNni1x0LvoFsBBr03yp/fPiHNzXYDCMHi4WkTsdz29X1dsTXKPAU8B/AVOBB0Uk3DM4nQ30uWZM+MZo4tPsCTUYso+qXo/VSSga19mPyGs2ASdk065E5CK5KAB82X4YDIZxgru0nKKaiQnHuazMzXtUNaXN66r6dcfTNhH5CXAB8FvS2ECfa8ayb4wVCTWC1GAwFGSvdoPBYEiEiPwLVmS0xT7kBbpxbKBX1VC+NtAbhmOiowaDwQhPg8EwWjkTmCoi/wxMx+qqcYWqbhGR8Ab6nwJfIw8b6A3JMdr3iRrhbDCkhhGeBoNhtHIFVhH2vcA+4Nuq+qR97lNYdTz/HXgd+GReLDSMeVIVzkaoGsTtxV2eeMu5q6gkB9bkHiM8DQbDqEFVZzh+3wmcG2Nc3jfQGwzRqG6YbMSnYVyTswLyBoPBYDAYRv/2AoNhJBjhaTAYDAZDjjHi0zBeMcLTYDAYDIY8YMSnYTxihKfBYDAYDHnCiE/DeMMIT4PBYDAY8ogRn4bxhBGeBoPBYDDkGSM+DeMFIzwNBoPBYCgAjPg0jAdMHU+DwWAwGHKEqeFZOAx2deTlvi6vF4+/MvG4ktIcWJN7jPA0GAxZwVXqw1szMfG44rHpXA0GJ4UiOGOJrUAcEebxJe6yYzAkixGeBoPBYDBkkVyKzmSjeE6hGeiOf02i8wCeJFpA5npuQ2FihKfBYDAYDFkg24IzlaXiyIimU/AFOtsIdrcD4C5PvAQcdf7OtrSuS3Zuj78q6fFGqBY2RngaDAaDwZBhsik6kxGcsZbOownOI6KfUa4bDUvtTmGaTBTVkD+M8DQYDAaDIYPkQ3TG26MZKcScEc5AV8fQ77Fwnk83IjpSAl0dUQVw2J5EEddUIqaG7GKEp8EwhhgcHKSvvx+/z5dvUwyGcUeuBWc8sQnRBScwFOUMdrcT6GwnGCVC6I6xXB3ofFeEJpOZnU08voqYojlSIGdzK4AhNXIiPEXkcuDfgFrgTeBqVd2Yi3sbDOMBVUVE+L9f/JLmgwe5+as3UlxcnNZcXV3dvPX226zdsCHDVhoiMb5x7FAoojPaMnMswWkd6yDQ1Rll/nePeXz+qPcKC9ZYIjUfhKOiyQpSQ+7JuvAUkbnAT4GPAM8ANwB/AJZl+94Gw3iht7eX+x9+hHsffJAlRx2Ny5V8ENKNkAAAIABJREFUb4i+vj7eXr2at1etZmBwkPKyMo5bdgyf/fTl/Ou/3ZpFq8c3Y8U3tu7fO+4Ln+dSdI5UcFrH24cEZ6Crk0DnkcLT4z9SaIZFaCwBGujqjHkuW3j8lVG3AET+fSKX5xNtKzBkn1xEPM8EnlbVRwFE5PvAf4pIjaoezsH9DYYxT19/P/v272fKpMkMBgYZDATwer0xx2/bsYO/P/scPb29FBcVsWzJEj5z2aVpR0kNaTHqfWNYcI1X8ZnvKGesJBqn4Axf51xWDwvJsOgc7OqOuLf13Osrj5jXFqD+4SIzkTiNR7SIq5NEc0aKUIgtRIfPnftorbg9SUVeXUVjs8ZxLoTnfcDjjufHAT2ASTszGDJEdVUVX/nC9Tz1zDP85vd/REOhuOPLy8r4+D9eTHl5edxxhYaIPA98VVVfEREBfgBcCXQDt6rqbfa4mcBdWP5mFfBpVV2fJ7NjMap9Y6EURM8X+Y5yxotwQux9nM4o52BXN4Od/QAMdAQAKKp4VxaEz3n9R34hHezqHiZK37WhM7ow7YwvLpMh2chqPCE6fM7U/7uNhiz/QibrwlNVD4R/F5GLgduAm1Q1kO17GwzjBUuDQUlJCf39/QQC8f971U9M3FGokBCRc4GLgFMch68AzgYWATXA0yLyqqquBH4DPAucD3wO+D1wTE6NTsBo9o1GdOZPdKYqOK1jHcMEJ1jCcqAjQF+XDl3f1zUIQIlPho4NdASOEKTha2G4KLVeQ/ewYyMhmtCNJULd5RVRE6ASLbGnsvczHbFqeJdcJRfVAndifaO/UlUfiDLmauBqgMYpU3JhlsFQkAQCAXp6e+np6aWnt4de+/dFC+YnjFD6fX76B/oJBIM5sjZnnILlr7ocxy4Dvquqe4A9IvJ74BIROYS1T/JsVe0XkR8AN4vIAlUtqIypVH3jtGnTcmtgFMaz6CzEpfVU93GGo5xhwdnd5QKE7j5rX3h5ibVa0m3/Tyv3Wc+jCVKILkqzSSZEaDRS2ftpEpRGRi6Si8qBF4CXgAWq2hVtnKreDtwOcMySJRptjMFQCAQCAR554gl27d6DiKBqvV3DUcdUCWekh+dxu92Ul5VRVlZGWWkpZWWllJWWIUkkDPnKywkGgwwOFnzQLCVU9RsAInK24/ASYKXj+VqsCOhSYL2q9tvXhkRkAzAHKBjhmY5vXL58ed5843gWnFB4S+uRgnPo9zj7OMOCExgSnd19LjqD7/quzm43fve7b7NEgtSaa3CYIM0FIxGhsUimRJRJUBoZufiacimwT1WvyMG9DIYhenp62H+gmf0HDrDvwAGaDx4kFAqlLRDDiAinnnwSF55/foYszRxlZWX09PQyMNCfb1NyQQXg/ATotI9FHneeKyRGjW8cz6IzG699pMvpYZwCKJXkIafojEZYiEYK0LD4BOjuckWIT2tsJgWoc05nZHWws3/YEn+0vaVOERrs7kiq7FNYnOa7RulYJhfCcwnwXhGJDMHMVtWmHNzfMAYZDAQ4ePAg+/YfYH/zAfbtP0B//5Fiq7S0lEn19TTUT+Q9J55A7YQJeDypveWDwSDtHR20trZxuK2V1tY2WtvaeOHlV3juxZdQVVwuF16PB7fbjcfjwWP/7vV4cHvceNz2T48HT8SY8LGG+npqJ0wY8d/FV15OQ/3EEYvrTOAu81E0oT7xuOJSgItF5E7H4dvtSF882gBn2mcZ0BrluPNcIVHwvnE8C07I/Osf7OpIW2SGiYy2Re7ndOKM/A12dTvEWgCwI5h9LvxupTMoRwjNME6xCUdGOiG60Iy29B6OtKZCeG7nfE7BGY52OgVn+DU7X3s0wWmEZf7IRXLR9cD12b6PYWzS3t7OQ48/QWvrkZrB4/FQX1dHfX09ixYs4IzTTqOsNHHpiUAgQFt7B4dbD9Pa1jYkKNvbO4aWusOERWVFRQU1VVVUV1cxfdo0jj1mKZWVlXhtERsMBgkEAtYSt/0z4PgZCP+MciycCLR67TpaDh0CoKioiLmzZ7NowQLqJ9alJCJ9vnJ++/M7kh5fQNyjqt9M8ZoNwNHAZvv5IuAdYCOwUERc9jK7C5iPld1eMBS6bxzPojMbghMskRjZKz0WySznRra7jFYMfkiI+f0RmeWW+Cz3hax9nhERzTCJhGay+ztHug80LDidS+thwekUmeHfI8VmskLT7N/MPkm/E0RkETAZOCI2r6pPZNoogwHgqWeeYdXadXziI//IxLrUBFgkTTt38Zf77qOsrIzqqipqqquprq5i7uzZVFdXUVlRgdvtTmtut9ud9rXR6O/vZ8u2bTz34oscaG4GLKE9Z9YsFi6Yz5RJk7IS0QyFQrS2tXGwpYXm5oM0t7Rk/B4Z5m7gRhF5FpiLtXT9HlXdIiKbgK+IyE+BrwFr7CSkUU1wcDDrNTPHs+CE7EU5w4IzMgM9WeL2Yo9YYo8kdgmicBTSEpfRRWZioen1F6PAoLeY7tIK+ovKCLncqLio6GzB39PGgKeIPQ3zCLlcqFiPkLiob2miqvMgPcU+ts44Zui4uqyfta17mL5nfdzopvN3p+CMFJuFIirF402qJJOruCQH1uSepISnnRX6aWBbxCkFjPA0ZJTDra384jd3sWL5cr583bUjmuvQ4cP84S/3UFVVxfWfu3pUFEgvLi7mqIULOWrhwqFjg4ODbN2+ndffeJP79u1DVfF4PMycPp2F8+cztXFKzG5FqkpXdzcHD7bQ3HKQ5oMHaT7YMmxrgsvloqqykol1tdTV1jFv7pysvs4McAewGGjCWl6/QVXD0c9PYdXx/HfgdeCTebEwS0SKo0wI0fEuOCGzf4PIKGegsy2q0BxJaZ5YS+yxiC9AQ0lFM73+YoIuNz2lFXSXVlDS302d9tLvKeb1OacNGz+reRM1hwcJeEvZP3EGLg3hUkU0hEtDhPpa8WoPXm8p4nbhVsWlg0gghCcYYEbHHjy+8pSW052CM5HYNDU5c0+yEc/LgUXOunMGQ6ZRVR7/21Ns2rKFz115BX6fL+25evv6+NM9f6Wvv5/LPnYJlRWj27l4vV4WzJvHgnnzho4FAgG2NzXxzprVPPTYY0OJU+GHM9u+vLycibW1TKyrY9mSJdTW1lJaMvq+TavqDMfvQeA6+xE5bhNwQu4syy/RBFMqYnS8i85cRDmd2eeRjDRLOl60MxKnWPP6yocSj4qiuEiPv4SAx4s3MIACG2cdT7evmr6isqExDW17qNu/jrLSIua3bad8sJeyYJ8tMC2R6fL78QNn7nsjulF+PxXA8a2bhp/zlRFEUF8FXjsyG01wJopuZkpgFkrUdDSTrPDcAtQDRngaskLLoUP84q7fcurJJ/HFaz6f9jzBYJAHHn6EHbt2ccmHL2LypEkZtLKw8Hg8zJ09m7mzZw8dc4pPw/gmGTE63gUn5C7KGbkfMxM4OxKlQqzIZ7tvAl3l1XSXVtBTWkFPqZ/K3jaO2fWWNcDrxd/XweS+Q/gGe/AN9lAa7EfsaORM6YEigMytLIUQXvbNpjrYwzFuS1wnG92MFJtGNBYGyQrPW4HnReRJItq5jYZSIIbCRVV56LHHadq5k+uu+mzaLRxVledffImXX3+dC88/j4su/ECGLR0dxFpuNxjACE0nuYxyRhZ1h+iZ1umSbLTTidvnp81dSmt5PZP3bwFgT+NCWn21FA32U97fSW33ASoGuoaWuZd1WLvtPD6/pR48RdhKkxBCj6+aDvHSi4cQYj9w/C6EJMqxYc/fPVbFAPXaz7aiamYWeahxWc0xYgnOTIlNj78qrevyxWhqJ5ys8Pwe8CTwJuFdyAbDCNl/oJlf3303Z57+Xj5w3vvSnmft+vU89OhjnHLySXzthi+ZaJ/BYIhLrqOckb3Swz+T6TseiVOwprLEDhDAxSFPOc1eP80eP4MuDy4NMbmnBY8GWdi1C0/nDopCVtLRkMB02KlAwFdJJ0V0iJcO+2cXXjTC97pQXM6fEn5uHXMDblGK7OcSGDjimiDCLpePOo9SEgyxKuTjzApwSfzo5rBzo0xEpsJobCecrPCcAixX1d5sGmMYH6gq9z30MPsPHOCL116T9l7DXXv28Oe/3suc2bO48UtfzGhmeSz6Dye326S4JnH9SoPBkHsyLTrj7eWMVdQ9WaIJ01SX1vvEg0dDeAixp6iK9aWT8GiQusFOJgY6qR3swltu7dmMjMGKz08XXjqkiA68dNo/B+RdX1tCiApXkHrpp9IVpEKCVFb4cQEipJT8ZAdPj2BwYIDNwRIW++DtLmFHqIS5FdbAeGIThgtOTwajzAXEqGsnnErE8xsi8h1VTT2mbzDY7N23j1//7vecd87ZXPSBC9Kao629nd/96c/4fOVce9VnKclykkyyYjPVa4w4NRhyRzaX1qP1Sw8Lrmj90sNE67bjFJvpLKEr0OkqptlbQbPHT4enlKN79tA42EbDYDu+YB/VwZ4j6iJaUcwqOmyR2Wn/7BYPapdTcqP4JUiDK0CF9FNTXkqFB4pdgr3uHtWekRZqXxaEJ1qFAwE39SWwfwAWlPuHVrYSRTfHqNgcYjS2E05WeN4ElAP/LCIDWO9TAUKqmt6mPMO4IhQKcc/9D9Da1sZXrr8urbJGfX19/Onee+nu7uHjH/lHqquyt3ySjtjMxD2MGDUYMk82opzAEUvryfZLT0Q0MQrxSiE5rsXFC/7Z9LmKQJWqYC9z+w5QE7DuW6xBioM9AIivghaKaZZSDkoJPeIdmqdMglRIiMYSqPQolW7wuUHEDbwb7cxFso4fOEr7WdXaz8mN1UyvLMPjixCXSYjNUVw26TQRucbxPJmubgXdTjhZ4XkzcH/EMR/wo8yaYxiL7Nq9m7v+8EcuPP88jl60KOXrg8Egjzz+BJu3beMjF32IqVOmZNzGXAjNZAjbYQSowTByCinKOdjVzWBn//A5o/QdH+zqPqJDTzQC4uJw1WSaPX7chFjcuxcPIeoHO/EH+6gLdFKswaHxHp+fbjw0SwkHPX5aQlYCkBtlYhHMLVKqPVDhBq/L2mWZjLDMhaBbVK409bXwTnMX0xoa6B0MECgqpdrZxSgJsemNeD44ghqqI0E83qT+ti6rnfBzqnp5irco6HbCyQrPzwG1qvpNEanGynK/Evhl1iwzjCoGBwfZuWs323bsYMfOJvr7B4aWQir8fm784hcoKoqygQerHmXLoUPsP3CA/c3NHGg+SKdjSSqkyhmnnsIHzj8vbfsKRVgmS//hA0Z8GkYVYz1jPp7odBIt4ccpOp09y8MF2sPnnAI0UnyGBWxf9UR2l9ezr6yWoMtDUWiQSYPv2rCwbz9gCc0gwiGKaSmq5EDIQ7da0UqfKLNKoaFIqfVCkS+2CEpGWGY78ukGTpjh5Yn1O1h7sIM9h9oIqXLxmacOq+SRSGwme26UU9DthJMVnqcCD4nIcVhFmV8Bjst1Cr4h//T09LC9qYlt23ewe+9egkG7tIXHw/SpU5k1YwannnzS0L7LwUCAlpYW1q5fz4Hmgxxobqazy9oDHS5y7na7mVhXR/3EOmbPnMl7TjwRX3l5ytnp2RaX/YeS2Lc5IXNi0UQ/Ddkg0+02C1VwZjqaFdlnPZrodO5nDItP57L5YGf/sG5AkdHOaJFOqai0Ov0A+0snsLd8Ig2DHTQOtFId7EF4dym+GzfNUkqLHdUMIriDSp0d1awvspbNoybjFIDIjIbHX8UUfxVz2npYu3MvK+bN5JWN21izrYklc2ZaY6LYPoaFZSIKup1wUsJTVQ+LyFnAn4FNwAftriGGMUprWxvbtu9g244dQ/3CRYSSkhJmTp/O4qOP4rx/OAeP58i3UH9/P/c//Aj7DxwY6mE+sa6W+okTmTt7NqecdBK+BEtIsciksExGROZq3kRidbRGP91lPrxJ2G0vJxmyRDb7uhci2Vg+TaYLUbqCLFJoOoVqp6eMPeUT2V9ex5Ke3UwMdDGLLmZ1bqJIg3ZU089hSqwldHc5XXZUs1yDzLCjmnVecCcoQRSLVF5XtssWLZ87nZ0HD9N0qI2p9XW8uWEzs6Y0UFU3+vxjlinodsJxhaeIrMdKJArjBWYD20SkG0BVU9+0Zyg4tmzbxuN/e2qozWJVZeVQ9LJ+4sSE0ceurm7++uADtLa28YHzz2PWjBkjtikTQjNbAjOTOG2MJUJHq/g05JbxJjKdOAXnSPqfxyNR60tIXYBGJhK5fH72eqvYVVRNu6cMl4ZoGOzAV1KEBz8eIAjslzL2ShktUkoQwYVSKwFml7moLwK/J/oezURiM1n781Eb019dy4qj5vPCO2s54agF7D14iNc2bOUfogjP8RbtHE3thBNFPNPvXWgYFWzasoWHHn2M6dOmcfknPk5rezvbt+9g9769TKipoaE+vthpbWvjnvvup39ggIs+cEFGWlSmKzhHKjIHM7xUn0y0L5L+QweM+DQkxXgWmU6iCc5AGm0kE+EsDJ+IlKKE9hL5gLgp0iAKbC2tx42yKNRKo3ZT5Lb6tnSVVtEULGZ30MsgLkoJMb3EjmoWgUc8KYvNQhaaR9zfTh5aMH0qG5t2s2rLNpYunE9HVzfBUAi36do2aogrPFX12VwZYsgtGzZt4uHHHmfWjBl84fOf44WXX+GsD3yQRQvmM2XSZJYfu4z6+okxr1dVbrvzF7jdbi7+4IVMqKkZkT2pis1URWamRWUm7hlLmIZfWzQBasTn+Mbt9RrBaZNIcIYTgKKRqohyzpVsNDUZQRdE2OevZ6f46MbDWaE9eIBTS7opQRERBtXHzmARO4NFtA14cKFMLoYZJcpEryApLqGPFqHpxJmxLiKcsvQo7nvuZfr6BzjnlJOGjc92tNP8HxwZySYXGcYI6zZs5JHHH2fO7Nl88dpr8Np7NIuKvCw9+mhu/3FyFbJEhM9cdumIi7cnIzjTiWRmSmgOpHDvohQTiyJtjBSisaKfRnwaxjMjEZypjIkk0RJ7NGKJvB7cbJMK9kg5g+LCJ0HmugdwuStwC5So0lZSyY4+2NNvCdRKt7K0RJlR46fYPTy6F0ts5kJo5rpIe0PjVI6ed5DVGzezcM4s3G4Xh9vamTtjelbvawRnZjDCc5ywdv16HnniSebPncMN1107LClo6pQp7Duwn9ffeouXXnmVyZMm8ZGLPhR3znRFZz7FZipCMlWizZ2KGA3b7xSgRnwaDBax9nA6k37CJLskngoj2TfqLq9EFQIKHoH+kJudAz4muwaZ5fdS63UhUkJvsIQt/bCjD7rbBa/ADL+Xmb4iqotcR+y1T1dojiaBGdUG+3Ufv+Rotjbt4rnX3sBfXs7Ovfuor61lQsPIt3s5MWIz8xjhOcZZvXYtj//tKRbMn8+XowhOJ729fdzxy19TV1fL26tXs3b9er7+T19Jq8tQNDItOPMlNAcPNw/97q2JvR0h3v3jCdLBwweGiU8YvvRuxKdhPJCu4ExGKOai+LmqsqcnwLoONzWuSpb5oV7hfIVil5eQwgEpY1vXIPt7AyhQV+zmqGovMybW4ImzdzGeyExXYBaCuIyF89+ruKiIk487hr+9+AozG6ewc+8+XnxzJRe+PzPCM5uCUzzepP59xmrFj5wJTxF5Hviqqr6Sq3uOZ95evZonnvo7Ry9cyJevvw632x13vNfr5eQTVvDZyz/FtKlTadq5i8s/93ned87ZnHj88WnbkUmxmS2h6RSSmbo2HUHqFKOR4hOiRz+N+BwbGP8YnbDozLTgTGdsqoRU2d0TYF1bPx2DIfweF3UVZbjLrdaUPYNBNncO0tQ1SF+ol1KPi4W1fmZXl+MvfvejOanuQSmIzEIWlrGI9QVhzvRprN+6nbfXb2TJgnm8tXY925t2MnP6tLTvZSKc2SfrwlNEzgUuAk7J9r3GMy2HDrNqzRo2bt5Mf38/C+bN45++cH1CwRlmUkMDt/7rzQD09vUxfdpUZkyfxqYtW1IWnpkSm5kSmiMRlukSec9EQhSs12LEZ3TsQsjOEiC/w+qe9gP7Zzdwq6relgfz0ma0+8dsFY9PZR9nNNGZylJ7tgqir2ntZ0PHABXFHk5urGJaZSkhhZ3tPWxt7eZgzwACTPGXMLu6nMaGelxxytYlIy5zISoLqee5iHDq8cfyp4cfp6Orm+qKCp598SWmTpkcd3UvGkZw5o5cRDxPse/TlYN7jRt2793Lq6+/wZ59+wCYUFPDMYuP5tSTT8Lr9aY8X2tbG397+hnmzpnNMYsXc7ClBQB/uS/pOXIhOHMpNAeSnKcoCVEZtikZAXrkdcPF5zhlFlCpqkPNrkXkSuBsrHZwNcDTIvKqqq7Mk43pMOr8Y7Y7FSVTHsnjrxoSn+7yyiGh6fFVEOjqyFl3HacIC6myo62H6hIv1aVFzPWWUVs5wNSKUvqCIdY0d7D5cDf9wRAVJUUcO7WeWXVVlHqHfwznS2QWkqhMluqKCpYtWsCba9Zx8rKl9A0MMNjVgXo8466W52gh68JTVb8BICJnZ/teY5lDhw/z2htvsnnbNgCmTJrECccvp3FyZr6llZWWsm7DBh585FHOOv29vP7WW8yZNYv3v+/cuNdlW2xmUmgmKyRTxTlvIhGaaH9oZNQzGvFqfY5FRKQECDhFp81lwHftdm97ROT3wCXAqBGeo8k/5kNwQuyanGFxFuhsGxKawe72IfGUiWX0ZIRYMKRsb+tm7cFOugeDzJ/g47jSIvzFHrSknNf2H2J7SzshVRqr/CycNIF6f9mwphyJxGamheZoFJmxOPaohWza0cS6rdv46PnnDq30hd9TyQjQ1v17TdQzRxRMcpGIXA1cDdA4ZUqerck/3d3dvLFyJWvWrScYClFTVcWK5cfxvnPOTrmHOcDAwADvrFnD8cceG/V8cXExX73hS/zhL/fw9qrVHHfMMfzDWWdRVFQUdXwiwZlNsZlvoZnMPVOJgsKRIjSZJfdxxgygSETesn9/FrgGWMKRInMtVgR0TOH0jdOmpb93LR1yKTbDJCM6nSQSoNlkW2s3q5o76BkMMqG8lBUz65hcWc7+jh7W7W9hX3s3bpcwp66KhQ0TqCg9MlEzV2JzLInMaHg8Hk5dfiyPPPM876zfSN2EGrbt2s1pxx9n1UJ1vKfiiVAjPnNDwQhPVb0duB3gmCVLNMHwMcfAwADvrF7DW++8Q//AAOVlZRy37BiuvuIzQ7U2U6Wvr4+XXn2NVWvW4PV6E+7VLCst5YpPXhbzfL7EZjJCMxMic+DQwbSuK5pQN3yuFKKgYL3GeOJznFMNrAO+BOwG/ger13AF4NzM12kfG1M4fePy5cuz7hvzITbDpCo6nUQToPFIt+SSlvpxiyAidB3uo7y4iJNmTWSiv5Tthzp4aM022nv7KfV6OKZxIvMmVlPs9SSdADRSsTnWRWYspk+ZzMypjby5Zh1LF85n3eatTG1oYNa0xiPGDXZ1GPGZZwpGeI43gsEgGzZt4vU336Kjqwuvx8PSxYv51Cc+TukIirL39Pby4suvsHb9eoqLizn5hBP44jWfx5VmO7FMLKVnQ2ymIjTTFZSpzh9NgELyIjRSfB55bniJpUJfbveU+ZKy0VVcAnCxiNzpOHy7LbhQ1ZeBc8InRORG4ABwGHDWGykDWkdu+fgj22ITYgvOaEviI2l56RSg8Uh1H+hgMMTm5sOs3biZE2dOYmp1BUunTKSvPsDm5lZe2Lqb/kCQGl85px41jZn1tUm3cRyJ2ByvQjMapxy3jN/v28/Bw61MqKrkxTdXMnVyw7DgTaIleCM+s4sRnjnkQHMzL7z8Cnv27sXlcrFw/jwuuvADVFaMzHF0d3fz3IsvsWHzZkpLSjj15JM4+4zT01qSDzPS6GY6CUKxxGYhicxk7z1SEWrNl3zUcwxktt+jqt+MdkJEzgcGVPVv9iEvEAA2AEcDm+3ji4B3sm3oWKJQoptHHM9Qn/VUSgzFE6kDgSCbmg+zbt8h+gNBGirKKfN66ZQi1u3Zy9b9zQRDytTaao6aNpmG6sqEvtcIzezgKy/j+MVH8fLKdzhh6WJefWc1b65ex4nLlkQdHy/6mU3x6XJ7knoP2F/KxxxGeGaZzq4uHnvyb+zas4eG+omcetJJTP3ghRmZ9+VXX2Pthg2UlZZy+imnpL3/00m2BGeqYhOSF5z5FJuxGDh0MKb4HBpzuHmY+Ewl6jmOqAFuEZELgL3AfwF/AZ4HbrRLLc0FLgXekzcrRxnZFJ3pCE5IXnSmI9zizR1LpKoqT776Doe7upkyoYqlMxoJhEK8s3Mve9Zuw+1yMWdSPUdNm0RleVlG7Bw2hxGaKbF4wTw2btvB2s1bmTtjOu9s2MjCOTOp9Pujjk+09G7IPDkTnqo6I1f3yjehUIg3V77Ni6+8QllZGe87+6yE7ScToaps2baNF19+hfaODnw+HyetWMHZZ5ye9jJ6mJEup2dyKT2bYrO/5XDc88W1NSnPGY9kxKchMar6WxGZDzwHCPAEcD3QASwGmoA24AZV3RxzogJmPPnHcMmjqOeyWIcy3txOUXq4q5uNu/dz/NyZeNwuls+djsftpr27l5c2bKOtu4fSIi/Hzp7G/CkNlBS9W75uvAtNp4CL9+Ujm7hdLk5bcRz3Pfl3iou8nHr8sVT4fEPvuWh/31ji0yy5ZwcT8cwg+w808+gTT9Da3s7yZcv4wuc/l3QB92j09Pby2htvsGrtOjQUYs7sWXzwgvdTXZV+r90wyYhNyKzgHGl0MxtiM92xYTItVnNBIBCgs6uL9o4OOjo6ae/oGHp0dHSgauWvhH8WAnbZoW9EOXWd/TCMIjJZ8igTuMv87G05zKot29jd3ILH7WJ2Qx2lRUXsa21n895m+gYGqfaVccqiucxqqKV4BD3PnYwGoZlORDDeNdkWpZMm1jF/1gzWbd7KRae/h2B3J6qKiBDo6hgVf/OxjBGeI2RgYIBnnn+BNevWUV+ROzC5AAAXkklEQVRfzwcveD811dVpz9e0cxcvvPwyhw4fpqSkhBOWL+e6qz47IgEbJlmxCYUjOLMtNscbd//xT3R0dlJRUUGl/ajw+5naOIXKigr8Pt8RHT+++e//kUdrDZEEBweHLZGP5ohMvOhnrugbGODRl16npb2D0uIijps/B19ZKW837WPPwRYEaKytYfG82UyunTDi7UxQOGIzX0vMuRClJy1byo5de3hx1VqOnjWDNzds5sJTT6QoRoMVs+SeO4zwTJNNW7bwt6efIRgMcsZpp3LOmWek5ZD6+/t5Y+VKVr6zilAoxLSpUzn37LOonTAhI3amIjYhtuDMpNiEzAvO0So2o+3zTJdQKMSOnTuZNWNGzDGXXvLRjNzLUDiMdiGaD/E5GAjQ0tbOpNoJFHu9VPrKmTm5gf6BQdbt2EVvfz/lJSUcO38O86c34istTTxpDPIpMkejkIq0OR0hGujqwAscv2geL7yzlkkTJtDa2cXr6zZx8pJFJuqZZ4zwTAFV5a8PPMjO3buZM2sWn/nkZWmVPurs6uKRx59g/4EDFBUVsfzYZXzuyivSrtcZSabEJpjo5kgZ6T7PZDLbVZVnX36Vf//Rz7jyU59k5vTpGYnKGEYnyQjRfCUWxSJXS+89ff2s3d7E+u07CYZCfPyc97L/cBv9g4O8vn4TAkytr2PBjGlMra+L2zs9FrkUNKNRWKaK11eR9Hsq8v2zYPpUNu3czfodO1k4YyrrduzE7XZzwlHzo4pPE/XMDUZ4pkBPTw+HWw/z5euuTev69o4O7rn/Abq7u/nwhRcyZfKkjNqXT8FpXZP7TkGFzkiTixKJzj37D3DNTd9g/uxZ/O4XP2fa1Kkjup9hbJGt6Gdke8tMia1siba25gOs3LSVzbv2EAyFaJxYS1lxMfc88yI9ff2UlRRb0c1pjfjKko9u5jpqZkRRaogI71lyFPc9+xKqyqKZ01m9dTsDg4OceszR+TZv3GKEZwp0dnVRU516MknLocPcc//9hEIhLv7ghUysy3ymcyaShSC9+pvWdSMv+F40oS7lqGes5J5MRULTTR5KJDhjLa/HKqVknRsuQjdt3U5paQn/89//DcD2piaqKiupqkxcS9Aw+nB7vXlbSo/XSz3Q3TEsozvfS5mqSjAYxOPxECwqZsvuvUyun0ggGGR3s+Vnpk2exKI5s5k+ZVLM6iDxsqGziRGZqRErWl5bVclRs6azZlsT71++mGLvbIKh0NA1+X6fjkeM8EyBjs5O/D5f0uP37d/PPfc/QElJCZdc/GGqKlPrlJEMmRKckL3e6akUgE9HfEYjmmAMi9FsZaInE91MZT9nMsXjz3jPidzxuz/yp7/ey5tvv80bb61kzqxZ1E+s49Z/vTnpexkMkcQTmkO/OwqvBzrbjqiHGR6Xa0Ha19/P1qZdbNi2nQqfj5OOXcq2nbspKvKya99+ykpKOPaoRSycM4sKX3nC+XIhTIzIjE8qy+3RWDqtga279/Lc2s2cc8Jx1FT4ERHaOruoLCnL2Da3ZBGPN6n3ldsUkDd0dXXjS0J4bm9q4oGHH6G6uopPX3opviScWypkKjsd4kc4YeSiMx0yJT4jKXTBmUq009mK8tIPX8gP/vd/+ciHPsSDf/oDb69ew7f+89v8+u7fcfmln0h4X8P4o7ph8rB9nqkKzWi9zsPHnO0oownSbIjRnXv3sXbzFnbu3U8oFMJXVkYgGOS39z2EqjJ1UgOnLp/N9MbJSbeyzAZGZGaeRE0JijwezlyygL+v2sD9z73MyYsXMXvKJB5+6TX8ZaW8/6wzKC4qAsw+z1xghGcKtLa1MnlS/H2Zv/vznxGEz13xGUpG0HM9kkzu3wxTiKIzTLbE50hIZ79mshHOSNGZbKtMgKWLFnLM4sWce/ZZlJWVcfIJK/jaDV/if267zQhPQ0LSFZwxi8D7Ko4Qpe7yyqHrh/qoR0RD01nODoVC7G0+yKSJdbhdLnbv28++5hYqfOV0dffQ1dNDaaiEYxYtYNGcWVSksFqVKYyAKRwmVlXwwROO4bm1m3j+nTXsO3SYFYvm89zK1dz/t6e54Iz3UlY6/DPbFJHPPEZ4psCOnbs4acWKmOcffORR6uvqOOv00zN2z1QFJ2RGdIIlfuKJz7BYSiRAo4mvZPd8jibSFZnD5okQnfGinQBTGur54Xe+TXFx8dCx/oEB5s6aTXd3N+XlmY24G0Y/ibLao4lOp5gMC8XIqKe7vHKYiAx2tw9FQJOJfsZDVTnU2samHU1s2bGT7t5elsyfS3tXN7v27iNkFwmfM2Mas6Y20thQn5EayMlgRGbhEdkmtbS4iHOWHcWaPc28uWELLW3tnLxkEa+s2cB9Tz7FB848HX+GVygNwzHCMwV6e3spKxvejxfg2RdeIBAIZEx0ZktwQnKiM0wi8QnJC9Aj5o0jvlLZE5ptRlJjM5HAHHavBIIThotOgJIJDezas4dnn3+BurpaTly+nIcee4xjly7Nq+h0l/ooTqK3vLs4/RqJhswRFozhD+t4Uc6h553Dl9thuAB1LsFHis9k6erp4aG/P0trewciQrHdqnLVxs34yso4at4cZk1tpKGudsRthGNhxOXoxyXCsfPnUl9Tw9Nvvs3La9azdME81mzayuur13DmSSfk28QxjxGeKRCyM+EieWPlSnY07czIsmY6ghOSF53ZxCm0RrIMn6mC6rkiVYEJiZfSkxWdYerr6mjv6ODBRx/jO9//IWecdiqXf+LjKdtlGJvEinCGl9ljic5EgjPYHT/hI5oAjRSfsaKeff39bN25C1WlsaGBrTt30dPbC1iRz9LiEhbNmc2sqY3U1lRntIqDEZhjm0B3B1PqJvDh00/h72++zVtrNzCjcTInLlsKMNRe05AdjPBMwODgIE27dvHciy+xfNmyI86pKvc++CD9/QN8agx/yIdFUqLIp5N0xFg+6oCmY2cqpLJXE6ILTogtOsMRxaKiIq67+io+fOEHKCsro7LCfHCOB0ZaCD6cLRzuHuQpr7CEoL+KQGcb7vJKgt3tQ+eHnvsrCXS24y6vGBKfbls8evzDq3eEl92dSUdD5xyiMxAI0LRnH5t27KBpzz5UFY/bTSD4FgATJ9Qws3EKM6c2Ul05sve4EZeGspJizj95BSs3buGtjVto73yaM05awWtPPcMJxx8/VGvb7PPMLEZ42vT29bGjqYmt23ewa/dugsEgAF6vl+nTpnL6qacc0Yqwv7+f2+78BSetWMGK5cdlxIZ0o53wrjBJJvIZTdwku+czHZIVrNkWgamQ7mtNRCxhGY14Ec5YS9iTGhpStskweojWq32kOMUncIQIDRPo7qCYcCR0KsHudorrp0ZNMIoUmc5l9cjIpqr+/+3df3Ac9XnH8fdzdzpk2ZJsybFlWZYlaIwhlNjGDZRADdiNp+lMp6QhbRpaT8GlgfEwlJBO25kSBuivMMPQSYakpFBCxyFNXHBrSBxa4jaJQ5OAbWQ7NYZgYcmWHf9Csq1fd9LTP/ZkH4ps3+nH7ur0ec14rLvb037utPfcs7vf3eXkIMysrGRwcJCXfvAKre0HMDPcHYD31dZwSWMDzQ0NzJg+8lCn4a9Hpo5zHeQ2fHznSI+npleRMOOqxe9nbs0stmxr4d9f+i4XXZRm47e+zW9+ZBVNjY2Ams/xNCUbz+6eHl7fuZOWXbvp7+8HYFp5Oc1NC/nAZYtZvWrlOc/r1dfXx/e2/pAfv/Yat/3BreP2RT+WpjNfMQ1ovmIaonwT2bDG3Wjfs3M5X6N5Zppxnme+bDZLx+HDtLUfoK29naPHjk3YvCRehpq1zAhHl+c3oWeOQh/aypk3DhTONpnnO2Cot7+fwyd72N/Rwf4DHXT39jJ3di3HTrxLdmCAhBkN8+q4pLGBX1q0mGkjHGksU09Rl868QNOZP93QstowZzYfW3EtW3bsouPnR7gonWbT5pdYee01XH5FcJWjoZU+NaBjMyUaz66TJ9nxegu79+whk8kwbVo5S375Stb8/icveMqj/v5+Dh0+zDtt7WxvaSGZSLDiug/zl/d9ZlzHgAxvKMbaiBbSxIzHuNDxbr5KQSHvfVG/bxzf476+Pg4c7GB/extt7Qfo7DpboJPJJPPq6lgwfz43rfg1ZtfWcv9DD4/bvCX+hm8tzN8SOpLzNZhnjmofHGRgYICyVIo39rWy5ZUf/8K0/dksH7hsMQ3z61lQX086d05FkdEYGjJSrOnTyvno1ct4bc9b7HjzZ6SSSf5r6yu4O4uaF575fIx1r4OlygraMq8TyE9Cbe3tPL/pBSpnzGDpkg+yds0fUlZWdsHnPb/pBQ52dADBrvZ5c+fSML+eO9feHtoVDgppNsJoTmViTeQWzCE7d+/me1uDaxVfdFGa+fPqaVzQwNIrr6R6Aq6mJaXjXF+Ow7eQDn/s3c5O9ra28XbrOxw8dIjqqip6envpyR0cNL2igoULFtDYMJ+G+nnnPFuIyEQbfnBbIpHgVy5fRF3tLLZse52BwUF6ensBnVx+vMSy8Uyl09Q0NI7599Q0NPLBa64t+nm333nXmOcdinF4j6T0rWhoZMXq34g6hoyDKK/VPrIgy+DgIIlEgq6uLp588km6ut7bkHb39LBo0SKamppobm5m5sziT6ckMrS8hTWny371ejZs2MAPt+2gx43m5mauuGSejngfo1AaTzNbDXyR4G/5InC7u58MY94iMvmVag2ZjK+rra2N/fv3c/ToUY4fP05nZyeZTIaKigqOHj0KBHuKGhsbWbRoERdffDG1tbX6spZJp6qqijVr1rBlyxa2bt3K9u3b2bt3LzfffHPU0c6YjDVkwhtPM5sFPAvcBvwP8ATwEHDPRM9bRCa/Uq0hcXxdmUyGt99+m3379p1pKk+fPk1/fz/19fWcOnWKEydO/MI5jROJBPPmzWPp0qU0NzdTV1enRlNKQjKZZNWqVSxYsIANGzawa9cuOjtHvnBC2OJYQwoRxhbP3wK2uftGADP7O4KuPNZvjIjERqnWkKJfl7u/pxnMZrNkMhkymQyVlZUkk0m6uro4duwY2WyWbDbLwMAA2WyWOXPmkEwmOXHiBEeOHKG7u5tTp07R29tLJpMhnU7T19c34nzT6TSDg4PU1dXR2NhIZWUlNTU1VFVVUVlZyaxZs0K7NKVIFC699FLWrVvHU089RVtbW9RxhkzK2hhG43klsD3v9i5grpnNcPdTIcxfRCa3Uq0hRb+ujo4OHnvssXELkEgkKCsro7q6mqamJmpqakin08yYMYPZs2dTVVVFeXm5tl6KANXV1dx9990899xzUUcZMilrYxiNZxXwztANd+8zs2zu/ti+MSIyJpkXN3+Htvb2C074vz95FSBznklKtYYU/bqqq6tZsWIFx48fJ5VKkUqlSCaTpFIp5s6dS0VFBf39/XR3d1NWVkYqlTrzf1VVFel0GncnkUhQXl6urZQiRUomk9xyyy1j+RXZlp07uee+P7vghHv2vgElWBvDaDzfBaYN3TCzdG6+J/InMrM7gDtyN/vMbFcI2Yo1GzgadYhh4pgJlKtYcc116Sif98KOlpblO1paCpk2A1xnZs/k3feEuz+R+7mgGjIJjao23njjjaqNhYtjrjhmAuUq1qhqo7u3m9kVz6xfX+hJOj9kZq/m3Z70tTGMxnMPwTiEIZcBb7p7T/5EuTfyCQAze9Xdl4eQrShxzBXHTKBcxYpzrtE8z90HgdeKeEoLuc//CAqqIZOQauMEi2OuOGYC5SrWaGsjgLvvLmLy14AvneOxSVkbEyHMYyNwvZldnzsC62+Ar4UwXxEpDaVaQ0r1dYlIOCZlDZnwxtPdjwFrgGeANuDnwN9O9HxFpDSUag0p1dclIuGYrDUklBPIu/smYFMRTznXLreoxTFXHDOBchVLuc5jFDVkUlBtnHBxzBXHTKBcxYpFrslYG83do84gIiIiIlNAGGM8RURERETi1Xia2cVm9t9mdtrMfmpmN0SdCcDMPmtm7WZ2KpdvccR5vm9m1+R+NjN71Mw6zeygmX06JrkqzOxpM+sys0Nm9g9mVhZ1rmH3/7WZbY5DJjO71cxac3/H581sZtS5zOx9ZrYxl+lI7m+oEz9GQLWx4DyqjaPMNez+yGpjbv6qjyUsVo0n8A3gu8Ac4O+B9dHGATO7GrgXuB6oBX4EPB5RltVm9mXgury7bwNWAZcDq4GHzWxpDHL9ObA4l2sJ8CHgrhjkGnpsKfCZMPOcK5OZLQEeBT4JNABp4MJnF57gXMCDBOeJqyP4G64EPhVmLjlDtfH8WVQbx55r6LFIamNu3qqPU0BsGk8zW0ZwotiH3P20u38V+EQM1iAGAOfsgVhJ4HhEWa7L5ci/IsGtwOfd/YC77wSeBX43Brl+HXjE3dvd/RDwJMEHM+pc5LYufIVoBoePlOk24Mvu/oq7nwT+iOAoxahzZQlqRAIwol32pyzVxoKoNo49V9S1EVQfp4RQjmov0FXAm8BXzeyjwD7gLncfiDKUu79qZv8B7M3d1UOwdhNFlr8CMLNVeXcPv1brboK1/KhzrQX2591eDhyMQS6AvwBeBv4PWBSDTFcBW8xsG9BIcITiuhjkehDYxtli+zLwYpi5BFBtLCSLauPYc0GEtfE8uVQfS0xstngSrNGvBL4DLAD+GdhoZoVeVmpCmNlK4GZgGVAJPE0MdnPlqQI6826fzN0XKXff7e4nzWy6mX0B+BjBLsJImdkVBFs9Hog4Sr7ZwMeBTxAU+0aCoha1Rwl2n84k2DW4kJB3CQqg2jhaqo1FiGltBNXHkhOnxhNgp7uvd/ced38cKGP014oeL78N/Iu7b3f3UwTjc5abWU3EuYa851qtQAUxuU6rmd1EsOZ8MbDM3fdFnCcBPAWsi+Elxf7R3d9y9+MEBe2mqAMRLPsPuHunu78BfIFgrJyET7WxeKqNheeJc20E1ceSEqdd7a0ExRQIjkgkaIyj/hB0E4zdGJIlGNsUda4he4ArCHbFQTBg/fXo4gTMbDXwdeDT7v6vUefJqQSWAt8OFi+SQMLMDrl7XYS5Wslb9onHcg/Bsp8vA5yOIsgU14pq42ioNhYurrURVB9LTpy2eG4G6s1srZlNIxjD8Q5ni0ZUXgBuNbNluVwPAJtjtFa4HrjPzGpyR5l+CvhmxJkAPgf8aYwKK7k10zJ3L3f3cuCPgf+MQWH9OnCXmS3ObS26F4jD+7YJ+JyZzTSzhcCdwL9FnGkqUm0cHdXGAsW4NoLqY8mJTePp7ieAjwB/Ahwm2Iz9cY/40kru/n2CAdffAA4RjOW4PcpMw3wF2EHwRbQBuMfdo/5CgmBg/z+ZWTbv38tRh4qpp4EvEQxO/ynwE+CLUQbKuZdgXNzPgB8Az7r7hmgjTT2qjaOm2lgankb1saTokpkiIiIiEorYbPEUERERkdKmxlNEREREQqHGU0RERERCocZTREREREKhxlNEREREQqHGU0RERERCocZTCmZmN5jZnqhziIjEiWqjSOHUeErkzCx54alERKYW1UYpRWo8pVgJM3vczE6b2T4zu9bMUmb2iJl1mNkBM7s/dz1pzKzVzK4ZevLQbTNrMrNDZvYwcCSyVyMiMj5UG0UKoMZTivV+oBWYDXwNeBD4LHA1sAT4MPA7wNoCftccIAXUT0RQEZEQqTaKFECNpxSrC3jE3XuAbwFNwBrgAXc/7O6twOcJCmwhHnT33okIKiISItVGkQKkog4gk84hd/fczwMEy9B84K28aY4QrLGPJH9lp9/du8c/oohI6FQbRQqgLZ5SLB/hviNAQ97toV1OAIPklrPcQPnaiQwnIhIR1UaRAqjxlPHwTeB+M6s1s2bgbuCZ3GPtwPLcz78HVESQT0QkCqqNIsOo8ZTxcD9wEHgT+BHwrLtvzD12H3CHme0EbgB2RZJQRCR8qo0iw9jZISkiIiIiIhNHWzxFREREJBRqPEVEREQkFGo8RURERCQUajxFREREJBRqPEVEREQkFGo8RURERCQUajxFREREJBRqPEVEREQkFGo8RURERCQU/w9CgxdsUqHfHQAAAABJRU5ErkJggg==\n", 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" ] }, "metadata": {}, @@ -1796,91 +2577,138 @@ "source": [ "fontsize = 12\n", "\n", - "fig = mp.figure(figsize=(4.25,6))\n", - "\n", + "fig = mp.figure(figsize=(8.5,4))\n", "\n", - "ax1 = fig.add_subplot(311)\n", + "levels = numpy.arange(0,401,25)\n", + "ax1 = fig.add_subplot(221)\n", "ax1.tick_params(labelsize=fontsize)\n", - "levels = numpy.arange(0,101,10)\n", - "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", - " xkzq3d_diffs_latlon_mean.T, \\\n", + "contour_plot1 = ax1.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", " cmap=cmocean.cm.amp, \\\n", " levels=levels, \\\n", " extend='max')\n", - "ax1.set_ylim(1013.25,700)\n", + "contour_lines1 = ax1.contour(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", + " colors='0.1', linewidths=[0.5], \\\n", + " levels=[1,5])\n", + "ax1.clabel(contour_lines1, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax1.set_ylim(0,3.25)\n", + "#ax.set_xlim(0,240)\n", "ax1.set_xlim(6,18)\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", "ax1.set_xticks([i for i in range(6,19,2)])\n", - "ax1.set_yticks([700,800,900,1000])\n", - "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "ax1.set_yticks([0,1,2,3])\n", + "\n", + "ax3 = fig.add_subplot(223)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot3 = ax3.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzm3d_400_latlon_mean.T, \\\n", + " cmap=cmocean.cm.amp, \\\n", + " levels=levels, \\\n", + " extend='max')\n", + "contour_lines3 = ax3.contour(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzm3d_400_latlon_mean.T, \\\n", + " colors='0.1', linewidths=[0.5], \\\n", + " levels=[1,5])\n", + "ax3.clabel(contour_lines3, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([0,1,2,3])\n", + "ax1.text(s='(a) control K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax3.text(s='(c) control K$_{\\,m}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", "\n", "\n", "\n", - "ax2 = fig.add_subplot(312)\n", + "levels = numpy.arange(0,501,20)\n", + "ax2 = fig.add_subplot(222)\n", "ax2.tick_params(labelsize=fontsize)\n", - "\n", - "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", - " xkzh3d_diffs_latlon_mean.T, \\\n", + "contour_plot2 = ax2.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " (xkzh3d_diffs_latlon_mean.T/xkzh3d_400_latlon_mean.T)*100., \\\n", " cmap=cmocean.cm.amp, \\\n", " levels=levels, \\\n", " extend='max')\n", - "ax2.set_ylim(1013.25,700)\n", - "#ax.set_xlim(0,240)\n", + "ax2.set_ylim(0,3.25)\n", "ax2.set_xlim(6,18)\n", - "ax2.set_ylabel('hPa', fontsize=fontsize)\n", "ax2.set_xticks([i for i in range(6,19,2)])\n", - "ax2.set_yticks([700,800,900,1000])\n", + "ax2.set_yticks([0,1,2,3])\n", "\n", - "\n", - "ax3 = fig.add_subplot(313)\n", - "ax3.tick_params(labelsize=fontsize)\n", - "\n", - "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", - " xkzm3d_diffs_latlon_mean.T, \\\n", + "ax4 = fig.add_subplot(224)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot4 = ax4.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " (xkzm3d_diffs_latlon_mean.T/xkzm3d_400_latlon_mean.T)*100., \\\n", " cmap=cmocean.cm.amp, \\\n", " levels=levels, \\\n", " extend='max')\n", - "ax3.set_ylim(1013.25,700)\n", - "ax3.set_xlim(6,18)\n", - "ax3.set_xlabel('hour', fontsize=fontsize)\n", - "ax3.set_ylabel('hPa', fontsize=fontsize)\n", - "ax3.set_xticks([i for i in range(6,19,2)])\n", - "ax3.set_yticks([700,800,900,1000])\n", - "ax1.text(s='(a) $\\Delta$ xkzq', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", - "ax2.text(s='(b) $\\Delta$ xkzh', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", - "ax3.text(s='(c) $\\Delta$ xkzm', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax4.set_ylim(0,3.25)\n", + "ax4.set_xlim(6,18)\n", + "ax4.set_xlabel('hour', fontsize=fontsize)\n", + "#ax4.set_ylabel('hPa', fontsize=fontsize)\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "ax4.set_yticks([0,1,2,3])\n", "\n", - "fig.tight_layout(h_pad=2)\n", + "ax2.text(s='(b) $\\Delta$ K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ K$_{\\,m}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax4.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax4.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "fig.tight_layout(h_pad=2, w_pad=8)\n", "\n", "ax1pos = ax1.get_position()\n", "ax3pos = ax3.get_position()\n", - "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.025, ax3pos.y0, 0.0175, ax1pos.y1-ax3pos.y0])\n", "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", "cbar_ax3.tick_params(labelsize=fontsize)\n", - "cbar3.set_label('m$^{\\,2}$ s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_label('m$^{\\,2}$s$^{\\,-1}$', fontsize=fontsize, labelpad=7)\n", + "\n", + "ax2pos = ax2.get_position()\n", + "ax4pos = ax4.get_position()\n", + "cbar_ax4 = fig.add_axes([ax4pos.x1+0.025, ax4pos.y0, 0.0175, ax2pos.y1-ax4pos.y0])\n", + "cbar4 = fig.colorbar(contour_plot4, cax=cbar_ax4)\n", + "cbar_ax4.tick_params(labelsize=fontsize)\n", + "cbar4.set_label('% change', fontsize=fontsize, labelpad=7)\n", + "cbar4.set_ticks([i for i in range(0,501,100)])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_xkzm_xkzh_terms_background_and_percent_change_zcoords.png', dpi=600, bbox_inches='tight', transparent=True)\n", "\n", - "fig.savefig('figures/sensitivity_analysis_xkz_terms_diffs.png', dpi=600, bbox_inches='tight', transparent=True)" + "\n" ] }, { - "cell_type": "code", - "execution_count": 118, + "cell_type": "markdown", "metadata": {}, + "source": [ + "# figure 11 in manuscript" + ] + }, + { + "cell_type": "code", + "execution_count": 576, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-12T03:16:23.051111Z", + "start_time": "2018-08-12T03:16:19.219537Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: invalid value encountered in true_divide\n", - " if __name__ == '__main__':\n", - "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:21: RuntimeWarning: invalid value encountered in true_divide\n", - "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:33: RuntimeWarning: invalid value encountered in true_divide\n" + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:20: RuntimeWarning: invalid value encountered in true_divide\n" ] }, { "data": { - "image/png": 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dZoGEIuTiwrMu9DCjubBEYdHnsXOEPZvHMkvIRb1ry4BBLvCScxljdGR+YbIdKgl9eM4wVg4L49rR0EjoXVcq/CmnXm53nF513JjZq6L3JRmwO/Bm4D2Sfon7OXI28K0gbPId4DxJ7wFeD+SAW7tqOAkXzpjZl4AvVdj19uBWfvy9wOHNXmdmeponxjckKpC92s+5WVp9npX6RodCXSpOLIhX1xLrkJExuQyNySEXghCQHetoWCQq0lAWw7YMOZsXaVgs1FFRbZbJglUU/PCc9UQaqgt1NXFuVJTTuvBYgX/EFfHdjnvHXI1L5wNX4PcV3ILk3cAxZh2Mr1VhoErTy8Wk0wI+KCINzT3Xek39y4V6prilaspeJbEO2XGVwfgsqyeHIBDtfGYJzMTvaVcT6dCbri3Si0W1URb+qlhMeM52RbqeOPeQKC/CzKIv3tnBrfyYjcBLumZUFQZKsMuJikxc4j1IIh1S7zk3OnUlWh3XiFgXH6rfAyQUxlwxA5Zxi381Jkw1SxjucH9XC3nMLLAFKnu+QMP52GHcuZ7INxPyqCXSzQhy2gtmepmBFuwo7Yr3IAo11H7ecQl1Kb9lrsteM2IN8/HsVQDFDLuylPVVIg+hZ9wK1UIe9US6XKArZWlEmauObFDYK3nT7Yh0O2Ls+4u0T8Pv0KDmfsfIpqW4POpVsVuVMI2K96CKNMQv1FBdrCsVwzRD+SLkrlQRuwbTm3MV0urqxaUbiSEDFQtZohkb9QS9nEa86VoiXU+gvQh3l4YEW9IFwNuAKVzAzXCZHZ/onGnpYJBFuRrtinWjQh161e2IdcjImHgKJdiUhSb6iDghLmfhtmpx6XrxY1gs0JVynmtVI9YjDpFuVpR9SKRzNOphn4gr4VwBvMvMjpf0bmCkY5Z5UkfcQg0s6gNSSajrLS42SjRzpBahAFfdXzUbo75IVxPocuqlzTVKKyJdLtBegNNDo4KdAx7Edas6KNh2Ga4acW0H7PKkjFbFulqbzUa96rjEOqRarnOtHOjFGRi1FwwbycKodL8TxCXSfq5jOmhUsG/BCfRZwLCkFwOjNBz181Qi6dzwRolTrFsR6vn+1e3nLIfx7IX3oVK5d7UMjFoLhc3kMnejuKTbIp1NccFMP9CoYB8PvJsgJIIrdskAp3XILk8K6LZXXZ5bHQp1tH91pa53zYr3yJhqpsNVysCo2GOjzRzmbuQu14pHNyLQXoDTRUOCbWabcIINrq5+104Z5EkHafGqi5NDcz1BAPIztZsm1RPvSjHmkHqiDPXDGuXiXE2UuxkXbkakKwm0zwRJDzUFW9J+wBdxjU5+CZwc6evhiYFeykKJy6sOC2BqC3VmTqi3BN32wOVKbyFoV4rIVxHvcuEuF+pGszWq3W83X7mbItisSFeybbgNextN82yELEMLipUGjXoe9uXAj3BNmU7ANfN+YaeN8iRHK6K86LhIZ7ZysYaFYtfpkViVhLqZhcBWcpQbFeNuedmNhDrKbW5HoMuJ81yDTj3BPgz4KzOblvQRYLwLNqWOTiwMps2zDoW6EVEutdkqMyp8I09bTbaQZ3gsz3CuyJL8FCMTJUYLJUYLQ+Qmh8jNZMmH9eQN9OZYsmwYWOxNV6r0q3S/UyKdRHpcK2LtSS/1BDtjZtMAZvak1Ebtbg/RC5kbcVCphWm7Yhylkncdks0tJ5tbTia/hezYBKWxPDwc/RIrMZfNEVQoQuXeHNEc6DhEOrRvfl93RLqd1LlSfnND5/Ni3dsMhAA3wiCKNCwW6kof/E7SjLcNtasJOy3SaRLoVs7VqFj7EEZ6qethS/qv4G8BSyL3ATCzl3fEsg4zKAId0qhQl3vC3fgZ36i3Xa2asFZcutksjmbLspMS6GbxnnV/UE+wTyy7/3Xmi2VEDxXODJpAQ/2hALBYqMP94Qe6XMCbpVI4pBr1vG2oH5duJc2uGZHuFYGOkhaxHsTPYNzUFGwzuxJA0nNxJehPjzwmFOyrOmlgHGSGh5M2oWtUy/JoVKgbFtcOfeiredu12oRW65cRnq8SjYp0Lwp0lGbFuhPhEC/U8dFoDPurwDXAh3GTzT0pIy6hLuWrC3ZUvOplk2THljXlXS96fJm3HXavqyfSzeREVxKvRgW6XXEehApCL9Tx06hgPxU438ym6h7p6SpxC3Wz062rCVyjOdu1KPe256/ZXNpdOyGOfhLmboZCvFh3hkYF+0pc35CL4ry4pFNxJe87AP8aXGM6uM5JuBHza83ssuD4PXCDMA8D7gDeaGbr4rSpV+iUUEf7MLdK3AuVUVFuJ5Ojk+KcJmGuRLfE2gt1Z6lXmr4OF6fOAHtJ+gCueGZusdHM9mvlwpKeB3wAeHFwzm8B7wE2AEfhyuFXAj+UdKuZ3Y6Ll98MvBx4Ky5Mc3Ar1+9V6lUiVqoyDPdBfaFuRrAzo8sWhVCyueVtL1QuvMbyBf/OXaeNmHOzwpx2Ma5Ho2LdTvzaC3V3qOdhn9LBax8NfM3M7gSQdDFuYXMT8HEzewh4SNI1wGskPQYcAhxlZlOSLgLOlbSPmd3dQTtjpZ0Kx1bKxjOjTkDDmPLc/dzyqvHqSq1AG+ndHMcMwDjLuhsV5qQEOS6vt1b4qZlrRN9fzYi3F+vuUS9L5OYOXnsJLuQRImAPYDVwe2T7nTiP+yBgXRhHN7NZSXcDewKpFuw4ytAbEevyKsWGiikC4c6MLmOmONFw3+ZuinMz52+lgKTTdDoc0Ynzh++3RoS7V/q69wNJVjr+P+DTkq4ACsA7caGXZUDU9csH28q3R/ctQtLJwMkAu+22W6yGN0qnhRoaW9xre+EspeI8d+4UiXS/FaQ0KtzdEu0samu6fa+T2DM3s+slHQL8BNgGXIfzsLcHtoscuj3wBLC5bHt0X6XzX47rNsiaNWu6VuATZ1OnZsS6kR4grQp3w6luLYpVK4uUSYt0vwlzPZrxuD2dIzHBlvQM4Ntmdn5w/0TgacAuwAG4eZHgFh9/A9wD7CtpKAiHDAHPwmWLJE7c3ffiaHNajZZGP8X0QW0ngyQpkR40ca7FdGGiqmj70EjnSfK3xWHAWklH4EaPvRd4G7AXcLakm4O/jwX+wsz+IOle4ExJl+LSAX8XLE4mQqdapNZL2Vu0vcUOe3FX5sWVzpdkFocX5/p40U6OJAX7W7hhCHfhuvtcaGY3SroJOBB4ABcGOSMy5eYEXB72+cAvcLMmu063hRriF+sooUBmcyu62q0v6bxnL86tUytE4kW7cyQZw57FFcqcVrZ9Bnh7cCt/zL3A4V0xsAr9JtblxN2Tud1zzp3DC3QiRN97lV6/at62F+3OMLjLrS2QtikxzdKu6NX7gogrxOJDHMlTcZhyYcK/ngnjBbsHCD8k5R+iUNgW5V93KDui/LxxefheoNNFs4vatWLanngZCMGemZ5O2oS6DI8tq5vGF1YrLtqeVKVeiwIet71epOOjnlh7LztZBkKwYWE4o5dja9VEOw1EhTgq3j7VLv00857yop0cAyPYUXpdvNMs2iHei56n3XBBvV9e7RLHe6lXwyKS9gd+hRvO8gjwSeANwe7/Ak41s7yklbi5AC8E7gfeama3dNvegRTsKGkQ71Y+kL0g2u2QdoHupjjVulY7Yt7I+6faL6VGvOy0Z4pIygBX4PoaAbwR+DvgebgOolfiGtK9C7gYJ+i7AH8NXCtpNzPb1k2bB16wQ7rxxgo/XNE2qL3eujMO0ibOveQpVrO10155n3Am8HPgucH9FwOfNbN7ACR9BviUpKXAMcBeZrYZuEbS+4EjgRu6afBACHZmeDhR7zkq0NEe1QCloDpwrnilRQGPW/Q66b2nQaB7SZRboZFF7HqULyKXihM1vexeCotI2ht4E/AcnAcN8EEW9iZag+vPvzdQMLP1kX134jqFdpWBEOxuUu5FRye+RIcIlPJbgi54D5IZXc7UxgddmCMmAW+XdkR1Ufphwh/iXhGRNBFHymaC4ZCdJN0WuX950AwOgKAP0ReA082sKAkAM/tDsH8Y1yrjbOAlNNkptJN4wY6BWl50dBBtKb+FmeLE3FSXqY0PBf2nHyQzuowpXCvTNAp4MyQp0F6c+5thxHLL1Dtsk5mtqbH/7cAfzez75TskHQxcjRPk55rZXcHCZMOdQjuJF+wWaMaLjo7gmhvDlc8zXSgyPDYKQDaXAzaQHcsFx1cX8Clck6VeEvBO4gW6OrXCIrVCXrW86/KwSI9yBPAKSa+NbLtf0jnABbjRhZ8xs7At8/3ADpJWmtnjwbb9gEu7ZO8cXrBbpHx+YijW1bzpUiE/J9TT+Sm2TZRYsmyK4dzSqteIzkzMjC5fEDMs5TfH3m0v7Xhx9sSBmb0qel+SAbsDnwL+ycwuKTu+KOk7wHmS3gO8HsgBt3bH4nm8YDdJuccShj8WDBOIiHUo1O6xTqwnNrjKy8nCNCNjC4W7lM8HHvdiQtEO/4a+8XgW4IW58/R7WmiLPBs3P/YDkW33m9mewOm4TqGP40YSHhM0qusqXrBboDwUEhINg0TFOupVTxaMRzbNv+yjhVlGKwh3NaI9p/vBy/bi7EkaM1Pw5wE1jtmIW4BMFC/YbRINhZTyW5ja+FBVoS4WhihOZtgQ+V7OFTPkJocWC3ehyPBYdW8b4hsY0A28MCdDHOl9nvTgBbsCrbRRjS4wVsKJ9RD5GQHGFs00strdc3hhHixqVTymvdKxFxkIwZ6Zno6tl3UoSC7lbr696eieBy6IZ88UtzA1/uBcaGTFAo97hsmCASVGxsSSZVmGc9szPDZKNpcjO+ZumdFlc1ki2bFlLF319Dk7wrh1t1PovCB7aq2blBfPeNGOl4EQ7LgJf2Zmo+JdmFjcn/qg+UXJqY0PLopvA4ysWr1ImKNpeyHlH5BOCLUXY08rBTP1Kh69aMeHF+wWCd+QYXwwOmQgKq7Z0WWUihMLvOOp8Qfm/q4kzuHjKtGsUHsR9rRLpcXtSmXqMP/+LJ/5GP7C9cLdHl6w26QVQcw+88D6x9Q5rxdiTzs0m9LXiGhHz1su3ODes70+Zi9puibYkn4MnGNmP5cr3r8IOAkoAmvN7LLguD1w+Y6HAXcAbzSzdcG+44GP4mr4rwbeYWalbj2HRqgkpOXeeLOP93jSSrWuk+XCDb6DYBx0XLAlvRR4JfCXkc0nAkfhyjtXAj+UdKuZ3Q5cBdwMvBx4K3ANcHDQXeufgb8B/gD8G27i+qfr2ZBkt76FpMEGz+Dh33f9wlAXrvGXuC+GQmTbccDHzewhM/stTpRfI2k34BCcxz2B88J3l7QP8DrgW2b2UzN7BPgnINoLwOPxePqajnvYZvZBAElHRTY/G7g9cv9OnMd9ELDOzKaCx85KuhvXd/bZwA/KHtP1frQejyc5hhE5VP/APqUbHnYlyvvLhr1la/WdrfYYj8fjGQiSEuzNLOwvG/aWLd9ea1/NfrSSTpZ0m6TbHn300ViM9ng8niRJSrDvZmGjlf2A3wD3APsGEyHCyRDPwmWLVHtMRczscjNbY2Zrdt5555jN93g8nu6TlGBfDZwtaaWkw4FjgW8GI3ruBc6UtB1uxtrvzOwh4OvA6yTtJ2l1sO9rCdnv8Xg8XScpwb4C+DXwAHAtcIaZ/T7YdwLwD7i+sy8C3gBgZncC5wI3AnfhFiCv7K7ZHo/Hkxyan4LTv0jK48ItaWMnYFPSRlTA29Uc3q7meJaZVe8bXAVJu++fzd33+u13rXncuRPrfmVmh7VsXYoZlNL0e+oM5UwESbd5uxrH29UcabYraRt6laRCIh6Px+NpEi/YHo/H0yMMimBfnrQBVfB2NYe3qzm8XX3GQCw6ejye3scvOg6Oh+3xeDw9T18LtqRnSLpJUlHSXZKOSNomAEnnSFovqRDYt0/C9vxY0v8J/pakT0naImmDpFNSYtf2kr4saULSuKSLJQ0nbVfZ9gsl3ZCETcH1F9gl6ThJ9wf/L78tafFoowRsk7SzpOsCux4N/l/230TqDtDXgg18A1dg8xTgH3EVlokSVHaeCTwf2BG4FfhsQra8VNJlVO9V/lLgAkmHpMCu9wL7BHYdDPw5cGoK7Ar3HQKc1U17ItdeZJekg4FP4doS7wosAd6dBtuAtbglgFUrAAAgAElEQVTeQKtw/y9fhKt2rktWRi5T+9bP9K1gSzoUVzhwvpkVzexK4NUp+CafAYz5HPgMrqozCRruVZ4Cu14MfMLM1pvZOPAF3Ac9absIPP0rSG4xrZJdJwKXmdnPzCwPvAk3HCQNtpVw2jMEiGQ/Az1FPxfOHAb8HrhS0suB+4BTzWwmSaPM7DZJ38H1TAHYivMykrClmV7lSdv1ZuBPkftrgK4OCKxiF8D7cC0T1gF7d9OmGnYdhpvk9CtgN+A/cBOa0mDbWuBXzIv4jcB/dtm0nqRvPWycd/0i4HvAnwFfAq6TNJKkUZJehBuZdiiQA75MCkI1EVLZd9zM7jSzvKRRSZcAf48LcyWKpANwv0DOS9iUcnYCjgFejfsS2Q0nlGngU7hQ4ApcmOvpdDm81av0s2AD/NbMrjazrWb2WWAY1641SY4GvmJmt5tZARebXSNpZcJ2hTTVd7ybSDoS58U+AzjUzO5L2J4h4IvAaWa2NUlbqvAvZvYHM3scJ5JHJm1QwNHAeWa2xczuAS7BrZd46tDPIZH7cQINuOwH3BdU0h+sJ3Exu5ASLq6dtF0hYd/xsHtizb7j3SIY5vx14BQz+9ek7QnI4WaQfte9vcgAQ5LGzWxVopaVvf9Jx3s/5Mmy+9NAMQlDeo1+9rBvAFZLenPQW/s0XDvX39d+WMe5HjhO0qGBXecBN6TIQ6vYqzxhmwA+DLwrRWJN4CEOm9mImY0AbwG+nwKxBvfldqqkfYJfb2cCaXnt/gP4sKQVkp4OvA34VsI29QR9K9hm9gTwEuCtwEbcz7BjLOHSTjP7MW6R6hvAOC6Gd1KSNpVRq1d5kjwb+LykUuR2Y9JGpZgvA59jvn/8L4DPJGlQhDNxayN/BG4BrjGza5M1qTfwpekej6cnkLT7QcNj9500Vrs0/Z1P3O1L0z0ej6dfkHSapIeDytnrJT0t2F6xOjQIEf5XUDV9p6RFxVPdwAu2x+MZKIJUzI/gwqSrceGZj9epDr0YeATYBbgAuFbSki6b7gXb4/EMHC8ArjezW4PU2quB/alSHSppKS6n/QNmttnMrgEeJYE0SS/YHo9n0LgCl9GDpB1xmVA/xVWHDkn6laRNuMKsB3GFRwUzWx85x53Anl21Gi/YHo+n/9hJ0m2R28nRnWY2bWbbJL0FN6T4aFwaZLXq0PLqX0ioArifC2c8Hk+fkcnA6MhsvcM2NTJ82MyukPRVnLd9HU6UP2NmfwCQ9ClcvPqLLKz+hYQqgL2H7fF4BgpJ50o6DiAoWPscsBL4XypXh94P7FDWPiKRCmAv2B6PZ9B4FHiv3ICTEeBs4LfA16hQHWpmReA7wHmStpN0Eq4twa3dNtyHRDwez6DxRWBf3ELjdsG/r8JVXj4FVx2awfUPD6tDTwe+guvbfTeuarrrrZp9paPH4+kJJO1+6MjYfW/fYXXN4056+F5f6dgvSDpd0msk3V1l/1vC+FaH7Tiimg1xHO/xePqPgRJsScuAE3CpPNW4Cjgj6KRX73wfkzSrhIfoejyewWCgBJv59J0ZICvpM5Iel/TLoCwVM5sCfoireqpKIOgn4CbZvLPGcRdKukNSRlJWbnr7KWXHrAy2ny7pQ2Ud6UzSG4JDhyR9NuhncJ+k57X8Sng8np5j0AT7Vbgp6gDPxM153BXXi/frwQQRgmP+rs65jsMJ+4eB10vaocpxFwCjwCk4Yd9CZFirpO1x8+y+bWYXm9laM8uaWRa30PEn4N+Dw/fCpRjthFvRTsvIJ4/H0wUGRrADMX4OrqQU4GEzu8jMngQ+gWvq8oxg3x1APe/1HcBng3LV/8YNiV1EkOd5Kk5cz8VNTAkz/7O44QCbzezcMnsPAD4GvN7MNgebJ3CTw7cC/wXsXu95ezye/mFgBBvYEfd8wxLTh8MdZjaNy83cMdj0ODAaxLwXEcwWNDP7SbDpn4HTJGUqHY8T9AlgnZlFk+2fGVzz8KCnQXj+EeAanDj/JHL8eGQAwww+LdPjGSgGSbBDcVPw79PCHUGbxKfiGr0AzJb9W847gUvDO2Z2C24h85VVjn8zrmJq/2A2Ych64PnAz1gY3rgI96VxYdl5fA6mxzPADJJgPwpMAmGs+WmS3ha0TjwHuM3MNgT7VgJbg9aLC5C0B64949Vluy4Bzqhw/M640MY7gA8BlwYeNEAx8O7PAU6SdICkvwVeCxyXRGK+x+NJLwPzk9rMSpL+Bzgw2PRLnHf7KVxc+9jI4QfgvN5KnIZbRLwnmJQdkgFWSVpjZrdFtn8SuMXMbpR0E25+4/twC5ahbXdJ+hKuSbpwXyr3Rc6/FvhRU0/Y4/H0HQNV6SjpbGC5mX2wznEfBdab2aW1jvN4PN1D0u5/Pjp635mrn1bzuNf+/g++0rFP+DzwCklVf1lIGgZehsuv9ng8ntQwUIIdpMf9Cy5GXI1jcWOCnuyOVR6Px9MYiQm2pA9Imiy7TQdTi98taVNw+0jkMW1PLjazy8zsqzX2f9nM/qXV5+XxeDydIjHBNrMLzGwkvOEWAO/GTXF4Z3D/MOBYSUcHD0vF5GKPx+NJglSERIKY8pXA23Ez1S4zs3Vm9gBuGsRr0zS52OPxeJIgFYKN67PxgJn9CHg2cHtkXzidODWTiz0ejycJEs/DDnp8nIWbVAyLJxSH04mbmlwcTEo+GWD77bc/bO89va57PGng13fcscnMdk7ajl4kccEGXgE8Yma/CO5vZuGE4nA6cfn26L5FmNnlBF3xDjnoIPvB974bp80ej6dFVj5tlweStqFXSUNI5E24jnUhd+MqDUPC6cT3k5LJxR6Px5MEiQq2XO31C3BDL0Ouxk0u3kXSs3D9Ob6WpsnFHo/HkwRJe9gH4MIcd4QbzOwG3Jiu3wI/Bi4xs5uC3acD++A62Z1Gg5OLM8PD7LCq9uBOj8fjSTuJxrDN7Le4OHT59vOB8yts3wi8pNXrRUX7ifENNY70eDye9JGGRcdE8OLt8Xh6jYEV7ChevD2e3mAoCyNjqn9gn5J0DDt17LBqtY93ezyeVOI97CqEot3LHndavnh6+TX0eNKEF+w6pFm40yLI9WjFzjS+3h5P0njBbpA0xLl7RaDjoNJz9SLe20wXJpI2oefxgt0C1YQzbkEZJIFuhB1WrfainXK8KHcWL9gx0o6Qe3FuDC/atYlDMIfHKvZTi/Uantbwgt0FvBjHixftxcQpol6Q04tP6/P0JP5L0AlrePMMBl6wPT3LoIq2F+nBxQu2p6cZJNHuB6EupcR+SadJeljShKTrJT1Njk9J2iJpg6RTIsfvIekWSVsl3Spp3yTs9oLt6Xn6WbR7PexRKkwsuKUBSQcAHwGOBlbjJld9HDgROArXZ/+lwAWSDgkedhVwM/BU4Frgmi6bDfhFR0+P0K+LjHEKcTOCmK2TCdKJa6aIFwDXm9mtAJKuBtYCuwIfN7OHgIckXQO8RtJjwCHAUWY2Jeki4FxJ+5jZ3d003Au2J/XEKdbTKfL04qBUbP65ZEeX9dVr0AJXAJ8HkLQjcCzwU+B1LB4AfhRwELDOzKYAzGxW0t24AeBesD2ekLjFenLjekr5zbGds1GyuRWxnKdd27O5FS2JfFoYGh5iybK6srWTpNsi9y8PZrwCYGbTAJLegpv7Ogm8GHgrMQwA7yResD2pJO4QyNbx9ZSKE0yNP9A17zIadpgpln/eHZnR5XXPU+2xnSauL5kE2GRma+odZGZXSPoq8BbgOqBADAPAO4kXbE/q6EQIZHL8T8wUtzC18UFK+fYFcCbipWZGFzpa2dzy4JiF16kkzuVfHtmxZMMVURuT+CXSDSSdCzxgZl81s62SPgd8GhcCOQD4fXBoOOT7HmBfSUNBOGQIeBaR0Ybdwgu2JzXE7VVHQyBTGx90gj3+IKVCvuFzNHbsBrJjubl7M2Uhh1DQo18UoaiXE5c3XcpvqXqNamTHlrV0/UZ+JaSMR4H3SvopsAF4F26G7OeAsyXdDOyFi23/hZn9QdK9wJmSLgXeDfwuWJzsKl6wPamgk151qTDB1PifmClOMDm+gVK+ughPF4otXXN4bP6c2dy8eGfHcnOiX0nUy73zVin/kgi3NXL+UHCrefb1MkqSCtm0wReBfXELjdsF/74KuA84EHgAFwY5w8xCb/sE4Cu4WbO/AI7vss1AwoIt6RzcJPQVwG3AKbifHxcBJwFFYK2ZXRYcvwfuRTsM93PkjWa2LgHTPTHSqYXFcq+6VMiz9eFxpvNTix63baLU1nWXLHPnHM4tnRP94bHRuS+HbK6ycFfa1gjN/EpolXpCXo24UgY7hZmVcF71uyrsfntwK3/MvcDhHTatLokJtqTDgTOB5+F+lqwFPgtczXzy+krgh5JuNbPbmU9efzluRfca4ODuW++Jg04vLJZ71U8+/DjbJkpMFgyAYiFaN9benMDRwjQAI2NO+Jcsy859MdQS8ZBSIV9VtNsR51rnBefhl8f0q8Xg5x9TOwQy4CmDHSVJD3sGsIgNGeBx4DhSnrzuaZ9uLCxObXxogVc9sWGaYmGI4mSG/EzMg1yLGXIZY7QwC0QFXGybKM2lok3npxjOLQ3sLjI8Njp3ilqhmk6QHctVjLdXWpSNxsMbCYH0YFy7J0hMsM3sNknfAe4NNm3Fecs/I+XJ657W6ebC4uTDG5guFCk+VGSyYDyyKUt+RqxXqV2HuiLLZzLkihkAcpPOex8tzDI6NstkAwLeKcq/GKpRTcCBqpk1nV489SwkyZDIi4BXAofi0mg+jguHlCept5S8Lulk4GSA3XbbLU7TPS3SCa+6kRDIY+OiOJlhwwxsUYkNs0/GYkNhZhsAY5klAOTl/s0py/KZQLiLmXnxHpmlWGBOwEfG3LdGVMA7TVS8S/n8XFgmujgaUknAYeFCaa0UyWazVPoBSd/DLWg+gIsggHMPzMxe0O75kwyJHA18JYhNI+m9OEEuEUPyelDZdDnAmjVrrNIxnu7R6YXFWiGQ8WKGPMZ6psjPbuOx0tbYbAGYCs5XkBPwfGbJAvFmFpbbQu87Kt7AAgFvhjAeX41GvxSi4g2LBbxW2mJIeUZKHPnuPchf4xIijgqjAXGSpGA/iYtbh5Rwce1fk/LkdU/jJLmwGA2B5K3Ew6UCUzYTqz1RwnNPlbbyGFtZqgz5iPedk/u4LZ/JQHGIHKrofZezcHG0nHoiHz2fWxBt1qOv5H1H94XU88YHgUCbXt0JsYZkBft64JuSvgasA84Dbgi2pzp53dMY3c6tjop1sTBEfkbkMfJWIm/bOirWlZiyGQjCJgtck1BjLQPh4uec1x1vx+PwfC4MY4s87lqZLKHH3UgGS7X9tSpC+xUzu6tT505y0fHHkt4HfAPYGZeudxKwiZQnr7dLKGT92sc5DqEubzvaSBZImEs9MiaKBchljPyMC0vkbRtLlemqaC9VZi6+nYt62BaERhC5jAtpjI4E2SUVPGyo52VXJ3q+aMgl9LCjC57Rhcny8Eg5jeSND4pA10LSh8xsbVznS7Rwxsy+BHypwq5Yk9dnpqd5YnxD4gLZrz2do7T6HCv1hQ7zeUvFCUr5zQ2JdUgoVKsnh2AmA0PbswFgprOe9lI5MR7LLCEXXYS0DJgTaXBfJqMjMwtsBRbFscMYdTUhr0clkYZ5oW5EpOvlcTdCXAuQQ9mhjmfVxMxRuBqTWBio0vSomHRLvAdBpKH551mrcX+08CIU61pVi5WqFJ1QOZHLFTNgGbcQmJlfJIyLqEjDYm86Z42L9JJl2QXPp5WFyCiVRBoqC3W5MEfvNyLMg5gV0m0GSrCjdFK8B0WkQ+o930anqlQS6jBeXS2/uhahaOcmh2BG7MpS1ouOvOsXhTwsGvKwRSGPap5vpfvt0GzIo5ZINyvIvngGiDnjf2AFO0q54LQi4IMm0iG1nndcQl3Kb2GmONGUWIeMjImnUIJNWZjRnKi2SrXHNxLycCLt9lfzfOOmUyLdqhinvc9IB/ivOE/W8LtX0v7AjpFNS3F51KviNCgNNOp9D6pIQ/xCDbXFOswEaUasQ0bG5ErGJ4dcSl0dnydcFKxIhbTndkW6kSrEVmlXpBsR5gEU4YYxs4/Geb6GBFvSBcDbgCmCqh1cZscn4jQmjZSL9yCLdEi7Yt2MUIfx6mjaXivsuMpgfHZ+ETJCrolfrWFWx0JcyKOWSNcS6KiodoJQnFsV6VYF2YdE4qdRD/tE4Dm4NqjvMrPjJb0bGOmYZSnEi3X116AVoYbasepQqKcLxaqLi82wIHNkAdWrBcPYc63zwbxI18vEgMUC3Wxr1WapJtTNiLQX33TQqGDngAeBR3BNmAAuw1Ujxpay4kkvrXrV1VptNupVxyXWsDBzpBa1UugWZm005kXXymnutFhD/CLdw7MeE0PSy4AfADsAZ+Gm3lxiZpPNnKdRwb4FJ9BnAcOSXgyMUss18dQlDbnhjdAJsQ5LyxsR6rByESpnWTRDNdGuJMQhlbI2yhcKW81n7kZxSaMivWhfTMKcHfACGkkfZb7R3WXB5gOB/YE3NnOuRgX7eFwp+ArclIYv4YptT2vmYp7eIimvurzEPNq/ulLjpGbFu1ZKXZRK2Ru1whu1xLmaMHcjdzkqxPW86HKRHnSxjYk34FpHG/AiYFecV/C/zZ6oIcE2s004wQa4P7igp4+JU6xbCX/Mi/V8TxDAlZoHwwKKLYp3pRBGlGZjzvXEuZYodyM23K5I+yyQtlmCa3b3cuB2M5uQtIoWIhQ1BVvSfriBlfsBvwROjvT18PQprYh1K151NFVvsVBn5oR6S9BtD1we9BZY2G+6gnhXEu4ly7JVFwKhM8JcT5C7IYaNhDrqifRwFTsbTeEccK7A9T56CnCGpAOALwD/3uyJ6nnYlwM/wjVlOgH4PPDCZi/iqU4aM09aCXcsOCbSoa2WZx0X+RktSreLdqarJNSNLgTWE+VagtyIGHcr+6IVL7qaSDd7zKBjZu+TdEPw982Sno3T1quaPVc9wT4M+Cszm5b0EWC8aWv7hH4vX4+KdD1RLlVpYN8I2dxysrnlZPJbyI5NUBrLky3kGR7LM5wrsiQ/BRvcOC2CknJsvthluWUWFKpUy4GOhj26JdJpEugonRJrT+OY2c2Rv++gxT7+9QQ7Y2bTwUWelNqs6+0heiF7o10qtTCF9gR5wfnKvOsoteK6y1bDyESJ0UKJ0cIQuckhcjPurVepN0clkQbnTQ+qSIf4RcT+YmAEuB6DINBQvY1pKNKl/Oau2dKst12pgdKSZcPA4iKVRjrQQfUcZbdvsdB2QqC7lddcSax7bUFxKJvtaCl/2qnrYUsKm5cIWBK5D4CZvbwjlnWYQRHokEaFOvSEu+kVNuptQ2Mhj2bT6+r1zohbpJMoPOkHse4VJO0J5MJ5tcG2/c3sznbPXU+wTyy7/3XKJgG3a0A38SLtqCXUjSwqNkOlcEglGvK2AyqFPJoR6Tg86bQL9ILrp0is+/0zKOmTwCqgGAj33wTVjJcAR7Z7/pqCbWZXBkY8F1eC/vTIY0LBbnqls9tkhof7/o0SUi/Do55QNyKu0LkPfL1Ckqg3HXeL0FrPqZcEOkorYt2JBcdB+fwBa8zsCABJp+GE+i3E1Be70Rj2V4FrgA/jJpt7UkYjqXhhTjRUF+pSvrpgR0WrnieeHVvWsHe96LFVvO35c9fuPtdMPnQl8eq2OLezEBjXAnGnGCChDpmQdALwXTP7jKRvSPogMTXKa1Swnwqc36nR7Z7WiVuoZ5oUgGriFkdopZLwhiLd7GKhe2xlYWyo53PCwhzXObsZChlAsQZ4HfBm4ADgh8H9twB/jOPkjQr2lbi+IRfFcdEQSafiSt53AP41uMZ0cJ2TgCKw1swuC47fAzc1/TBcHuMbzWxdnDb1Cp0S6mYKWrK55RU96DgXLKPednRbrWu1E9poV5jTnDbXLbEeUKEGwMyKwMWR+zO4hk+XVX1QE9QrTV+Hi1NngL0kfQBXPDO32Ghm+7VyYUnPAz4AvDg457eA9wAbcJOG9wNWAj+UdGuw4noVcDOuJv+tuDDNwa1cv1fptFC3W4FYTcTbJZtbHmvMuR1hTrMoV6MbYj3IQl0PSTlcpGJBM3Yzu7eZ89TzsE9p0q5mOBr4WpjqIuli3MLmJuDjZvYQ8JCka4DXSHoMOAQ4ysymJF0EnCtpHzO7u4N2xko7FY6NinW3mClONNwetKm4cIPi0olQRi+KcT2aFevwfdbM4qMX6+pIOhu4ENjCwsVHw/UXaZh6WSI319rfJktwIY8QAXsAq4HbI9vvxHncBwHrwji6mc1KuhvYE0i9YLdbit6sWIdClc2taKkYppHezXEMaG1WTOIW6SQFulWvt5n1gXY86+h7rp5490pv9xBJbwA+AuzEfGO7eyL7LwQOM7OXBfdX4pIvXojrWPpWM7ulwcudAxwUh2OZZKXj/wM+LekKoAC8Exd6WYb7JgrJB9vKt0f3LULSycDJALvttlushjdKHP1C6nVDa+TDm82tmBPuzGj9kEW94pL545qPVXdCoKFxkU5CoOMORySRQ92I190roi1pL+BS4B+Am4AzcDUmhwT7D8ENa7kp8rCLcRO3dgH+GrhW0m5mtq2BS24EtsZhe2KCbWbXBy/MT4BtwHU4D3t7YLvIodsDTwCby7ZH91U6/+W4jlisWbOmqwU+cTV2akasGwmFREUtFO4w/W7ufgxeM7QmKp0q6e6mSPd79eB0YaIfRPtI4Idm9l2YK3a5MPCi87h2qJcDewf7lwLHAHuZ2WbgGknvD85zQwPXOxe4WdK1wIIPqpk1NWIxMcGW9Azg22Z2fnD/ROBpuG+wA3DzIsEtPv4GuAfYV9JQEA4ZAp5Fi12v4ibu7nvttjitRVsLbjEJUquZJGkS6X4X52rUE+0e4Drge5H7h+EGDEwA7wduBNYRCHbwb8HM1kcecycuHNsI78clVuRwoxVbJsmQyGHAWklH4EaPvRd4G7AXcLakm4O/jwX+wsz+IOle4ExJl+LSAX8XLE4mRhqEutWFxm5V5HVanOeO75BID6ow16JWiCQFXvZOkm6L3L88+MUNgJltDP+W9Cpcyt17gX2A1wBrgn9DmgrHVuBA4Clm9mTDz6AKSQr2t3AB/LuAEnChmd0o6SbcE3wAFwY5IzLl5gRcHvb5uAkOx3fbaOhcL+tuinWUpEupW71+3ALthdlR6xdc+WtUzdvulGgrm100GagCm8xsTc3zSDvhpr4chqv5uB74OXCamW2VFlSSNxWOrcCXcXMdP9fg8VVJMoY9iyuUOa1s+wzw9uBW/ph7gcO7YmAVui3WnRTqchoVzlZbsKapWtCL8zzNhNhKhYmGRTutSBoFbgF+CuxjZgVJy3GLjt8NxDoDDEkaB54J7CBppZk9HpxmP9zCZSP8FXCqpAtwC5ct17H4fthNkMSUmHBRcNH20WWth0KaFL3y63TTI/cC3Vni7s7YIxwLPGxmc91IzWwLMBzel/RG4LWRtL7vAOdJeg/welw8+tYGr3dqTHZ7we4FWhXt2MSu7DydLM6JM8zhRbozNOplpyCWXY1nAy+UVCrb/kwze6DKY07HhWMfx9V9HBNEA+oSZz2LF+wU0Mjk6Vqi3W3iFHAfh06OAfWuMbNFodgKx3wZF3sO728EXtJRwxpgIAR7Znp6LpyR0m/8hqgm2kkTFd164u0FurdYUD0b/f9cwcv2dJ6BEOwo0Th0L4p3+CFJo3CDz3/uFRp5/5R/+ZaKEzVFu9cWH3uRgRPsKL0s3mn1tjtBPwt0JYFrJETWadI+GGFQGWjBjtKNBZLwgxgd1dWP3eHapRcFOk7Psta5uiHmtcS63Mv2dJeBEOwkZzpOFyYWzVKcKW6Z846zY8vIjC6f7643YB+GXhDnNP3Mr2ZLUl65j2V3l4EQ7G5S7kWXC/RMcQul/Ja5XtJTLGzO36qAd+NDE8vYrxR+uNMkyK0SV2jFh0LSjRfsGKjlRYcCDa7hf6mQj0x1cTH07JibAB6ngHeCNIptM/SDMHsGGy/YLdCMFx0dvVXK55kuFJnOz88yHs4tBcYZHhud65HQKwKeZrw4dw4fx04OL9hNUkusq3nTUaHeNlFismAUC0OMjs0yMlZiybIs0/kphgtFhsfmuy+WCvmKk19CsrkV/sMT4AV6McNjy1KRceKJDy/YLVDNsw6pJdaPjYviZIb8jKCYYVVhhtHCNCNjqnK1eaLDBcKpMUl32us2XpgHG2WzNZ2YfscLdkxEwyCT4xsqetWPbMqSnxF5jC1BG4N8McPqySFGC7OBcJdYsmyxt11Or8eT6+GFOb34X3TJ4QW7DcpDIVMbH1rgVRcfKs6FP4qTGTbMwBaVyFuJ/KwbBZfXErbMZtm1mCVXJtyju1S/dj8Ithfl/qbXitF6AS/YNajVTjXaEzr0rEOiC4tOrIdcCARzYm3bKMw4wc5llwCQx2BGMOli28CCxcnyn4HhHMZewAtzcnQijt3oukmKu/X1LAMh2NHmT+0Sis/IKjeJvVScYHTPAynlNzO18UFmilsYfea8t72izNveqzDMeHGEfNbIIXIZY3RkltGxEstWDzOcG5nLGMmO5Vj61F3mskSqZYgk7W17QR5sosUz5f1EvGjHy0AIdtxE35BhT4/s6LIFC4CVskdCEX9mIOLuXE6cR1atJjO6rKo4z11vdOG1O40XY0/4a7LRBW4v2p3DC3aLRH9qVhLOcLjA0si2chEHN6B26VP/zD2mwgei0k/PdoXai7CnXRrp3Afz77V+aG+cBrxgt8Fw2Ru0npBWEvHy/RW31zmvF2BPHDRbll7ewCya3hoNkYQMjy1LZMxeP9E1wZb0Y+AcM/u53JTLi3DTiovAWjO7LDhuD9wonsOAO4A3mtm6YN/xwEdx4+WvBt5hZuVjfhKhkmgOV3jTlvezriXGXog9SbNwcYo4M28AACAASURBVH1zxV+BlRYhK72/fRFP+wx1+gKSXirpMuAvI5tPBI7CTR5+KXCBpEOCfVcBNwNPBa4FrgnOszfwz8CrgT2BA6kz5ictDI8tW3TbbtWubLdq14r7wpvHEwdP2XOfRdtWH/zni7bt9hdHLdr2jJcdU/Hveo+rdg1Pe3TDw/7L4DqFyLbjgI+b2UPAQ5KuAV4j6THcqPmjzGxK0kXAuZL2AV4DfMvMfgog6Z+Ac4BP1zMgyfaqHk8aiEu0mxXnStf1tE7HPWwz+6CZvRl4LLL52cDtkft34rzmg4B1ZjYVPHYWN6F4zxqP8Xg8noGg44JdhWXAlsj9fLCtfHutfeF2j8fjGQiSEuzNwHaR+9sDT1TYXmtfuL0ikk6WdJuk2x599NFYjPZ4PJ4kSSqt727gAOD3wf39gN8A9wD7Shoys1lJQ8CzcNki4WMoe0xFzOxy4HKANWvWWOzPwOPxdJ1B79aXlId9NXC2pJWSDgeOBb5pZn8A7gXOlLQd8EHgd8Hi5NeB10naT9LqYN/XErLf4/F4uk5Sgn0F8GvgAVzq3hlmFnrbJwD/ADwOvAh4A4CZ3QmcC9wI3AX8ALiyu2Z7PB5PcnQtJGJmu0f+ngHeHtzKj7sXOLzKOa7AiX1T/PKXvyxIuqfZx3WBnYBNSRtRAW9Xc3i7muNZSRvQqwxKafo9ZrYmaSPKkXSbt6txvF3NkWa7krahV0kqJOLxeDyeJvGC7fF4PD3CoAj25UkbUAVvV3N4u5rD29VnDIRgBznZqcPb1RzerubwdvUfAyHYHo/HUwlJP5b0f4K/d5Z0naQtkh6VdLGkTLBvD0m3SNoq6VZJ+yZhb18LtqRnSLpJUlHSXZKOSNomAEnnSFovqRDYl2hLs7I3rSR9KnjTbpB0Skrs2l7SlyVNSBoPPkzDSdtVtv1CSTckYVNw/QV2STpO0v3B/8tvS2psxleHbasljF20p1Lb57W4FhirgINxdSDHBvsqtn3uNn0t2MA3cAU2TwH+EVdhmShBZeeZwPOBHYFbgc8mZEuzvcqTtOu9wD6BXQcDfw6cmgK7wn2HAGd1057ItRfZJelg4FPA64BdgSXAu9NgG7WFsVtUavtcwmniECAgAzwuaTdc2+e1ZjaBG76yexKOVt8KtqRDcYUD55tZ0cyuBF7d7W/yCswAxnwOfAZX1ZkENXuVm9lvcZ7Ea1Jg14uBT5jZejMbB76A+6AnbReBp38FyS2mVbLrROAyM/uZmeWBN+G8xDTYVlEYu2lUlbbPa4G/wtn6IPAQ8J/UbvvcVfq5cOYwXHOpKyW9HLgPODWoskwMM7tN0ndwPVMAtuK8jCRs+SCApGhX+kp9xyt3re+uXW8G/hS5vwbo6oDAKnYBvA/XMmEdsHc3baph12HADyX9CtgN+A8SmNBUxba1wK+YF/EbccKYNJ/C/eI9AOf9X4/7FbeZ6m2fu0rfetg47/pFwPeAPwO+BFwnaSRJoyS9CHglcCiQA75MCkI1EVLZd9zM7jSzvKRRSZcAf48LcyWKpANwv0DOS9iUcnYCjsGN1NsbJ9prE7VonlAYV+DCXE+nwfCWMsNkRpfVvAE7ha2Vg9vJDdp1NHCemW0xs3uAS3BhwVptn7tKPws2wG/N7Goz22pmnwWGSb6PwdHAV8zsdjMr4GKzayStTNiukKb6jncTSUfivNhnAIea2X0J2zMEfBE4zcy2JmlLFf7FzP5gZo/jRPLIpA0KqCaMcbHJzNZEbo2Gqp4suz+NGxI+1/YZ5v6/h22fu0o/C/b9OIEGXPYD7vkm/cEqf1OUcHHtpO0KaarveLeQ9FLgW8A5ZvY3ZrY+aZtwv5AOAb4raRIXx36xpPFkzQLK3v+k470fUk0Yk+Y/gA9LWiHp6cDbcHNka7V97ir9LNg3AKslvTl4kU/DtXP9fe2HdZzrgeMkHRrYdR5wQ4o8tIq9yhO2CeDDwLvM7F+TNiQk8BCHzWzEzEaAtwDfN7NVSduG6x9/qqR9gl9vZwJpee0qCmPCNoF7jfLAH4FbgGvM7NpgX8W2z92mbxcdzewJSS8BLsX9HPwFcIyZJTp9xsx+LOl9uJTDnXG5nSclaVMZVwAH4r7cNrOwV3mSPBv4vKTPR7bdbGbdzhTpFb6MS2e9EZeFcRXwmSQNinAm8GmcMD4JfDYijF2lrO3zBC67ptJxVds+dxMlrF8ej8fTEJJ2P3L/Pe+76PhX1DzukPd++ldmdliXzOoq/RwS8Xg8nr7CC7bH4/H0CF6wPR6Pp0fwgu3xeDw9ghdsj8fj6RG8YHs8Hk+P4AXb4/F4egQv2B6Px9Mj9G2lo8fj6T+GhofJ5pYnbUZieA/b4/F4eoSBE2xJp0uqOEFF0lskHdcFG46QdHenr+PxePqLgRJsSctwXbeqNZq5Cjgj6KJX71wfkzSb9ABdj8czOAyUYOPaX15nZjOSXiHp7mAK97WStg9mtv2QKh27QgJBPwE3xeadNY67UNIdkjKSsnKT208pO2ZlsP10SR+SVIrcTNIbAo/8LkmXyk2Av1XS/5X022Dq9DntvzQejyftDJpgvwr4gaTdgStxvZ5XAyuBdwXH/AD4uzrnOQ4n7B8GXi9phyrHXQCMAqfghH0LkUGtkrbHzbL7tpldbGZrzSxrZlngdNwMw38PDt8XN23lqcH9zwR2vgC4UNLgrsR4PAPCwGSJBGN9noMbKnsK8B0z+2Ww7+3ArsGhdwDPq3O6dwBvM7P1kv4bNyD2E+UHmdlWSacCXws2HWlms274DVncYIDNZnZuma0HAB8DXmZmm4PjNwOXmplJ+g3wEzP73+D4CZyQlw8K9Xg8fcQgedg74p7vFtxA0v8Nd5jZOjP7fnD3cWA0iHcvIpgraGb2k2DTPwOnScpUue5/AxPAOjOLjtp6ZmDT4ZJ2jJx/BLgG+ETkGgCPRIYvzAbnjDJI/y89noFkkD7k4a8JAY8xH1pA0nMj2SGzZf+W807cFBsAzOwWYBNuEnol3oybpbd/MJcwZD3wfOBnLJxmfRHuS+PCsvP4SRMez4AzSIL9KDAJ7AD8G/BqSQcG3u0/ASPBcSuBrcFE8wVI2gMXM766bNclwBkVjt8ZF9p4B/Ah4NLAgwYomtk0cA5wkqQDJP0t8FrgODObaevZejyevmNgYthmVpL0P8CBZnaTpPfjFvxGga8AXwwOPQDn9VbitOD4e4K4ckgGWCVpjZndFtn+SeAWM7tR0k242Y3vwy1YhnbdJelLwMU4738H4L7I+dcCP2rtWXs8nn5iYAQ74D9xE49vMrPPA5+vcMyROA98EWZ2FnDW/2/v/IMsK8s7//lOdyPQM8MPISGQRbFUhgkiMJPgqmxcGWULUymSJaKFoAI7KLJZRHBNAcLOmKyLhRuTBSejiUAyjCKslJqErSwrBDcJ68RRhnGGH1tAAuwoIMN0NzB0N8/+8Z7Tc/r0ufeee+/5dfs+n6qp6T7n3nOenrn9uc993vd93rw3M7MPJ76eBU5MnF6ROPfxHJdLPn7e1EAzOyxvTI7jDC7DVBKBIOjfkJT5RiVpDPg3hPnVjuM4jWKohG1mu4E/IdSJszgH2GBmL1YXleM4Tj5qK4lIugq4KnV4BPgoYTHLp6NjN5jZNdFzDgX+Avh14HHgomiWRm7MbEObczd1cy3HcapFI6OMjA/vGrHaMmwz+5yZ7R//IUxx2wk8T5g6dyqwCjhH0pnR074E/Aw4irCK8HZJ+1UfveM4TvU0oiQS1ZRvBj4BnEUoS+wwsyeALwMfkPSa6NxVZrbbzDYTpuq9u664HcdxqqQRwiYsFX/CzP4WOAHYmji3HXgj8GZg0syezDjnOI6z6Kl9Wl/U4+NTwPujQ8uZ3xNjIjqWPp48l3XdtcBagPHx8VUrVhTXBXV2erqwaznOsPGjBx541swOrzuOQaR2YQO/QeiT8YPo+91Ash/1gYS6dvp48twCzGwjUWe81atX25YtW7Ie1jfP73q6lOs6zmLl0F866om6YxhUmlAS+Siha13MTsJqw5iVwI8Js0IOiWaKpM/VxiFHHMkhRxxZZwiO4wwJtQpbYf31vwLuThzeBFws6ShJxxJ6dNxqZlPAt4FrJR0g6QJgGXB/1XFnEYvb5e04TlnUXRI5nlDmeCA+YGZ3SboF2AbMAJ83s3ui0/+B0Pfj54RM/KwmNklKSttLJo7jFEWtwjazbYQ6dPr4emB9xvGfAu+tILTCcHk7jlMUTahhDw1eNnGcZiHpPklvi74+UNJN0T6vuyR9KeovhKRjJH1f0kvRnqrH1RGvC7smkvJ2gTtOtUg6XdIG4J2Jw58hdMVcSeis+WvAxdG5W4B7CRuf3E7YFapy6q5hOxGtpO1lFMcphXcS/JfcqOQ9hK35ngSQ9KfAb0r6FnASsMbM9kq6HrhS0goz21ll0C7shuMid5ziMbOrASStSRy+EPinxPergaeBtxL2ZN0bPfdVSTsJq6xd2E5nFkMZxd90nJI4TFJypdzGaCFdW8xsO4CkccLWfr8NnAK8nS5WWZeJC9upjW7fdFzwjkbHGF3a0ZPPmtnqnq4vvRu4iTCt+GQze1LSSrpYZV0mPujoDAyL4VOF01wknQ7cAVxhZu9LNJp7CDgu6nsU9z86lsT6kapwYTsDhUvbKZFrgE+a2TeSB83sUeBh4DJJBwBXAw+a2VNVB+jCdgYOl7ZTEicAX5U0k/gTt804D/gdwirr04APt7pImXgN2xlIDjniSK9pO31jZq9PfL20zeMeJgxA1opn2M7A4pm2M2y4sJ2BxqXtDBMubMdxnAHBa9jOQOF1a2eYcWE7jaeJkp6e3FN3CM4Q4sJ2Gk1dsu4k5Jno/MxU+Ht0vPJVyqWRYyWhUxMubKeRlC3qbjPkmdTjY1HPTOye93crRpcd3NX9qqDVm0z6Z3WagwvbaRxlyjqvqLOkFUsagqBnp9L9gFqT9diR8YNyP79oRpcdPO/n6ekai+hTxaDgwnYaRV2ybpdVpkUNQcAzk3v6EnHynr2WITplw1nXHRk/qO0ngryfBvoVvtM9LmynEdQh6ryShmxRz0xkZ9jp46PLOgs8Fn8s+26y924YXbq85bXje3cq77S9fsmlH42O1frJpG5qFbakKwg7oR8MbAE+RuiMdT1wATAFrDOzDdHjjyHsmr6K0CnrI2a2o4bQnQKpUtadMtI8og7HX2B2ag8zkxPzHj+6dNmCa85G1xzJUUJo9SZQJnEWXkTZph/ZO52pTdiSTgEuIzQHfxpYB9wIbALWEPZVOxT4nqT7zWwr+/ZVOwO4iLCv2onVR+8UQdUDi61knfXRPi3qua8Tok7LOtwjHMsSd7tzZTE7taftG8XI+EGZ/y7tJJ6HYc6Cy6TODHsWsEQMI4ROWB8CrotaFz4laTNwtqTnaMi+av0Si2qYl1VXXQLpNIg4dywh6vh5aVGH4xPMTEwwPTk199yxpeOJ60RyXtYMcWcxuuygBUKeK4uk/r26rbGXVdIZdmoTtpltkfRtQp9ZgJcI2fLfA1sTD91OyLgbs69aPzRxEUjV1F0CaTVY1q5Oncyqk6Kenti7797R12PLXpOIJzwuKfN992st9SKZmZzo+OYQ19mTok1myb1M9fP53MVTZ0nkNOC3gJOBR4DrCOWQ5czfPy3eOy19PHku6/prgbUARx99dJGh90xaVM/venqosuy6s+puRB2Ov7BA1OFeU0xP7OWVPTO8PGkA7L9Uc9d7Zc8MAPst3/frlSXzfbFPZQq9F1pl/DF55A3Z2XdML7NgnGKosyRyJvDnUW0aSZ8hCHmG+funxXun7aaLfdWiTTc3AqxevdoKjbwHhj2zbmJW3U2dOs6q06KemlwS/R2uOb701bnrvzw5PU/kEGSeFPnczzCxN1PmrUhm9u0e0+6areQ9Mr583uBnepZLN+UOr2UXS53CfpFQt46ZIdS1fwQcT8i6IQw+/pjEvmpROaS2fdW6xWXdLFn3UqeORQ3w8qQxNbmEqZeXMDEbhLxsJBL4y0Hg4/sHcbcSOZBL5vE9+6UoeafpNGXRa9nFUqewvwt8U9KtwA7gWuCu6Pjlku4F3gScA7zDzB6VFO+rdgPwaWraVy0vLupyfv5+JB3TaZpeN7IG5n0dHti+c/H40lfnsnTYJ+8iBJ0s0yTLM+msfGzp+Lw6eizt5KBop1kmWTLPM+/c6Y06Bx3vk/R7wG3A4YTpehcAzwJvAZ4glEEuNbM42z6PMA97PfAD4Nyq487LMMu6jJ89lnQvck6TzvpazamG+XXgpEzH938VUtKGfZn2vMclv186//t0ll0E6Wsms/Y4y07+XPGgZzLDjr/OM3fcBV0dtS6cMbOvAV/LOPWJ6E/68Y3YV60dwyxqKP7nn57cM0/S3ci53cfxTqsVWw/MzQAJ6aYy6V4EnVXTLpJkKaQXUfcjZK9hF4svTS+IYRc1lCfrdGe8NN3WSdNZeqvsur20YZ64IzoJupWcuxlw7IVY1MkphPHPl/w5O4naBVwvQyHs2enpeTIpeirdsMu6DFEDc7JODxK2optpZMlBxk7kzrbJJ+gsORcxrS85pS993V5F3augfQ52OQyFsNOkBdOrwIdd1FBNVp2cdlcEC2rYGdl1ms7ZdiAt6FaZc5agOy2giQcIW9HumlllD8gvahdwM8gtbEm/Arw2ceg1hHnURxQeVcVkSaeTxF3W5co6TxvTfmg30NiKPAtO8mbPvaxu7Ok5Xdank6LuRtJVlUo0OtbIzSCqIpewJX0O+DiwFxChB8jhwBfKC61eWmXhLupyBxZjWWctZmkCnaTdjZyr6iXSSdSdsmmvWzeHvBn2+cCvEtqgftLMzpX0aWD/0iJrGC7qQJUlkPQc6VbkmXqWptvsOkk70XYr5yqknUfUnSQ9zFltk8gr7GXAPwM/IzRhAthAWI24roS4nAZSpKyzBhZbrTwMx1rP4sgzcFgGWbLtRcy9vOF0Q95s2iXdfPIK+/sEQX8KGJP0HmCcUBpxFjl1ZtWt+k7noZ0ke71mp3v0KuayF5+0yqazyh1pUfvejc0hr7DPJSwFPxj4JGGxywhwSUlxOQ2h7Kwa8rUzzUtSmEVJOc+9YvqRcq+14jxd9botebikm0kuYZvZswRhAzwO/HJZATnNoWhZ5xlY7LRJwPxr5mtLWlSdOH2dVnJuJ+YyBvDaXbObkkeWpH06X7NoK2xJK4E/I3TM+0dgbaKvh7NIqXq6XrusOt18qdMy7iIl3knQrcTcScpVSjBPXTot6qz4xrqMud0O9U7vdMqwNwJ/S2jKdB7wVeDXyw5qmFjss0/S9WogcyFM1sBhVmadbkGa1TY0Le2ZiYkFszdatRNttagE2s9Znn+NfHKrarpcVZIu6rlOazoJexXwr81sWtJ/AnZVEFMjGZbl7EVnRvMaN2WsWkxKa3ZqzwKJTk9OZS9GybFAJWuKXadBwl4knUfQdc1l7rXssdiFK+kNhOrBrxI6g15sZvdE05Xj8u8NZnZNXTFm0UnYI2Y2DWBmL0oaiqXsw7RtV0yZH2HT0/bSdJJ2FnkWqOSdYle3pKuaPueynsdtwLeB9wFnAZsknQf8LnAqYYOVuyVtNbM76wtzPkMh4E4Mo6BjkqIuYw++ZN263T3ayW1mYqJQQYf7FS/ppgl63j19QHEOSScDhwHrzcyAmyU9ClwIbDCzHdHjvgx8ABgYYY9I+qvoawH7Jb4HwMzOKCWyEhlmQSfJ2hSg1Ua1/ZKngVO3ZYNuFq5kzejoV9LdxFvnIhSX9QJWERb93SzpDOAx4GLgBOD2xOO2Ax+sPrzWdBL2+anvv86+xTJiQBbOjIyNuaQTVCnqbrvtjYyH3brzLiTpZi503v7ORUi6KasEu5V12eWQin4PD5O0JfH9xmhT7rnzwGmE9SUXAR8lZNEvEjYCj5kAGvXO1lbYZnYzgKR/SViC/rrEc2Jh31JmgE5xZJU/kqLutLVWL/TSZa+bzLWoudCtJFaFoKtcpFJXZl2UqJeMjOb593rWzFZ3eMw2M9sUfX2jpGsJIj8g8ZgDged7CrQk8taw/wLYDFxD2NncGSBa1amzdnLJK9hupNprbTw9GNmtnPMuKMn7nH33Gww5L7h3B1mXkV039JPt48BY/I0kAUsIm4AfD/xNdGol8OOqg2tHXmH/IqFAv7fjI53GUIaou318vwOZCxd+FCfnjs8bUDFnUXVm3VBRx9wFfFnShcAmwmDjE4RqwR9Jug1YClxKKJc0hrzCvpnQN+T6Im8u6WLCnMdDgG9E95iO7nMBMAWsM7MN0eOPIeyavgp4APhIPKLrzKdTnTpr260iZ4mMLl1e2PWSUi1DzNCbnJsm5VZUKeuGixoAM3te0nuBG4AvAj8AzjKzxyTdAmwjbCX0eTO7p75IF9JpafoOQp16BHiTpKsIi2fmBhvNbGUvN5b0duAq4D3RNe8A/iPwNLCG8HHkUOB7ku43s62Ed8B7gTMIgwWbgRN7uf9iJW+dupWo22XOVZRB8ty730HBvHJuSm25n3/LvLLutxwyCKJOYmb/h7BoJn18PbC++ojy0SnD/liJ9z4TuNXMtgNI+hJhYPNZ4Dozewp4StJm4GxJzwEnAWvMbK+k64ErJa0ws50lxlkoZa5w7Hf2R6cyR/J80Sv3us0Ci8iYyxZyUZltFRly/NrpRdyDJutBptMskXtLvPd+hJJHjIBjgCOBrYnj2wkZ91uBHXEd3cxelbQTeCPQeGGXvRQ9r6xHlx3MzMTuOeHNTr0wV76oYvl0r/IpInMuS9CLaU5zP+J2yqfOlY7/E/hDSV8BJglLQkcI8x6z5kKmjyfPNZIq+oV0GljMIhZbLO5Y2ulr5KFoWXW9eKZiSS8mObejG3E/v+tpz7IrojZhm9l3JZ0E/G/gFcLE9WMIcx+z5kLuTh1PnluApLXAWoCjjz660Ng7UVU2naSXMkirbLsqes3oq5T0sAi6FcnXWjt5u7SroTZhR92yvhUV+ZF0PvBLwFGEuZBx3+14LuRDwHGSlkTlkCXAsYTZIguIVjZtBFi9enUlKzLrEDX0t2IxnW1n0cvilzT9lFuqqkcPu5w7MT25x6VdM3WWRFYB6yS9i7D12GeAjwNvAi6XdG/09TnAO8zsUUkPA5dJuoEwHfDBaHCyNuqSNCwsX/SzvDwp7jR19m3u+Jw+RO2C7h6Xdr3UKew7CJsh/IQw5/H3zexuSfcAbyFMZN8NXJrY5eY8wjzs9YS5k+dWHXRMk0QNxfUCaSfNIpeu17EoxQVdDC7t+qizhv0qYaHMJanjs8Anoj/p5zwMnFJJgBk0TdJz50pq3JSmW8nOTOzuuwlSv6UOl3Q5+GySevB+2ANCu5WDVa+462ZQsxu8Du047XFhDxBFLvfuK46UWHvN8It6oxlESefNTOvezDb5esv6d25VHimrLKLRsYH8/y6KoRD27PR03SEURlOknSQp3rbzv4dkul2RZYJW16pC5AsGtSf3NPrffRgYCmHD/PrzoA+INFHaMcOwmrAJddsyRd7ta6vTIKRTHEMj7CTpwcNBFHivKxMHhToFPcjyScbei7w7vZ48y66XoRR2miYIvNfMqMnZdjdULYFBlnIZdPMaypK2Z9nV4MKugaLrj0XLroo3ABd0+YwtXV77oKVTLEMn7Lqz55ZT8xoklG5jySN4F3Rz6eUN2ksj9TAUwq5j1/ReuuglGaRfhibE6oIuj/g1Oyg77CxmhkLYVZFH0q2Wd6dXBc5M7VnwC9IEMTYFF3QxdBxkrGgVrZMPF3afdCvpIjrfxQyLwF3OvdNPHTst63QSkS6L+MBj+biwe6RXUberYcePibvjxc+f66SX+mgaX2uxidt/6euniMzam0AVjwu7T3rZlTydZY+MHzQvW8kSd6dyyaDicnac/LiwC6KdrNOinpnYJ+zRZQctEHhS3K2kPYi4nB2nP1zYPZC14W1MXlnPpj5ythJ3K2k3Oct2MTtOObiwE/Ta7zrOrnuR9ezUHkbGlzMz8QKjy+bv7BKXSZLSbhou5+Gi7oFHjY4N9WtuaIRd5OYD8ch7EYN9SUnHUo6vm5R0nFnXMdVvmH9BFjOtBsCLnMrnA4/FMhTCLqO9anK6VFqac7M4ohf+yFzmnSHixHPnhN1CzlnP6QcXsdML3WbZLu3iGAphl0X8oswS98zkvhd1K4HD/F1Z2tWku5G0i9jplbzZdS/ShsHsjNkkXNgFkBY3LBRslsDbkUfQLmanSWRJG8gUt9MblQlb0n3AFWb2D5IEXA9cAEwB68xsQ/S4Ywg7o68CHgA+YmY7onPnAv8ZWA5sAv69mc1U9TN0oiiBuoidIimra1/WTKVWrVfjOJz+KF3Ykk4Hfgt4Z+Lw+cAaYCVwKPA9Sfeb2VbgFuBe4AzgImAzcKKkNwN/BLwPeBT474Qd1/+w7J+hCPzF6gwCo+PL+x509E5+5VFFhv3O6D6TiWMfAq4zs6eApyRtBs6W9BxwErDGzPZKuh64UtIK4GzgDjP7OwBJ/xW4ghzCrqNbn+M0C3/9LwaWlH0DM7vazC4EnkscPgHYmvh+O/BG4K3ADjPbGz33VWBndK7VcxzHcYaC0oXdguVAclnfRHQsfbzdufi44zhOV0g6XdIjkqYk3SZpWd0x5aEuYe8GDkh8fyDwfMbxdufi45lIWitpi6QtzzzzTCFBO44z+Eg6hDA2dgXwy4CA9bUGlZO6hL0TOD7x/Urgx8BDwHGSlgBEfx9LmC3S6jmZmNlGM1ttZqsPP/zwgsN3HGeA+U3gh2Z2p5k9D3we+EDNMeWiLmFvAi6XdKikU4BzgG+a2aPAw8Blkg4ArgYejAYnvw58UNJKSUdG526tKX7HcQaX9HjYg8AvSlpaUzy5qWvhzFeAtwBPEEodl5rZI9G58wjzsNcDPwDOBTCz7ZKuBO4mlEY2AjdX0fz/PgAABgdJREFUHLfjOPUx88C2bVx6+ac7Pa6T15YT3ANANCNtJjo+2fJZDUBmVncMpSNpglBuaRqHAc/WHUQGHld3eFzdcayZ9TTIJ+lXgP07PGwN8DuJ7zea2cbENb4AvGJmV0bf7wfsBQ40s5d6iasqhmVp+kNmtrruINJI2uJx5cfj6o4mx9Xrc81se46H/SPwX9qc30moY8ccBzzSdFlDfTVsx3GcurgTOFXSqdGMkT9gQMbDXNiO4wwVZvYc8GFCG4x/Bn5G6FHUeIalJLKx80NqwePqDo+rOzyuFpjZd4Dv1B1HtwzFoKPjOM5iwEsijuM4A8KiFrakN0i6J+oX8BNJ76o7JgBJV0h6UtJkFN+KmuO5T9Lboq8l6YuSXpD0tKSPNSSuAyXdJGmPpF2SviRprO64Usd/X9JddcQU3X9eXJI+JOnx6P/yW5IObvf8qmKTdLikO6O4non+L0fqim2QWNTCBm4D/hfwC4RpPpvqDQeilZ2XAacCrwXuB26sKZbTJW2gda/y04HPSTqpAXF9BlgRxXUi8GvAxQ2IKz53EvCpKuNJ3HtBXJJOBL4IfJDQL2M/oOOKkypiA9YRFswdQfi/PI2w2tnpwKIVtqSTCQsH1pvZlJndDLy/Ae/ks4Cxb8B3BPh5TbG07VVuZtsITXLObkBc7wG+YGZPmtku4E8Jv+h1x0WU6X+F+gbTsuI6H9hgZn9vZhPARwmzIpoQ2wzBPUsIjZfq/B0YKBbzLJFVwCPAzZLOAB4DLjaz2TqDMrMtkr5N6JkC8BIhy6gjlqsBJK1JHM7qO548X1dcFwL/lPh+NVDpBoEt4gL4PULLhB3Am6uMqU1cqwg7Of0QOJowI+KShsS2Dvgh+yR+N/CXFYc2kCzaDJuQXZ8G/A/gXwBfA+6U1GlZa6lIOo2wZdrJwDLgJhpQqknQyL7jZrbdzCYkjUv6Y+C3ab+arRIkHU/4BHJtzaGkOQw4C3g/4U3kaIIom8AXCaXAgwllrtdRcXlrUFnMwgbYZmabzOwlM7sRGCO0a62TM4E/N7OtZjZJqM2ulnRozXHFdNV3vEokvZuQxb4BONnMHqs5niXAnwGXNHRZ85+Y2aNm9nOCJN9dd0ARZwLXmtkLZvYQ8MeE8RKnA4u5JPI4QdBAmP1AeIOq+xfrRULNLmaGUNeuO66YuO943D2xbd/xqog2c/468DEz+0bd8UQsI+xB+tfh5cUIsETSLjM7otbIUq9/mvHaj3kx9f00MFVHIIPGYs6w7wKOlHRh1Fv7EkJLxUfaP610vgt8SNLJUVzXAnc1KEPL7FVec0wA1wCfbJCsiTLEMTPb38z2B/4d8DcNkDWEN7eLJa2IPr1dBjTl3+47wDWSDpb0OuDjwB01xzQQLFphRztJvBe4CPgp4WPYWVbz0k4zu48wSHUbsItQw7ugzphSfAX4EeHN7Xbm9yqvkxOAr0qaSfy5u+6gGsxNwJcJA3o/IfSW/291BpTgMsLYyP8Fvg9sNrPb6w1pMPCl6Y7jOAPCos2wHcdxFhsubMdxnAHBhe04jjMguLAdx3EGBBe24zjOgODCdhzHGRBc2E6tSHqXpJ11x+E4g4AL21mUNKCNruMUjgvbaQJLJN0Y7Qz0mKS3SxqV9AVJ/0/SU5I+G/WDIdpFJbmzyuOS3ibp9dFuNJ8Dnqntp3GcknBhO03gTYRmRYcBtxLagF4BnELoFf4O4N8SemJ34hcITc2OLCNQx6kTF7bTBPYQdpN5Cfgr4PXAhwktOH9qZo8D1xGknYd1ZvZyGYE6Tp0s5vaqzuCwK9GUa5bwujwKeDTxmGcI2XMWycTjFTNLt+90nEWBZ9hOE8jqQPYMYfPYmLhsAvAq0Ws3Glx8bZnBOU5TcGE7TeWbwGclvVbSMcDvsm8T2ScJezoCfICwK47jLHpc2E5T+Sxhk91HCPv/bTazO6NzlwNrJW0D3gU8WEuEjlMx3g/bcRxnQPAM23EcZ0BwYTuO4wwILmzHcZwBwYXtOI4zILiwHcdxBgQXtuM4zoDgwnYcxxkQXNiO4zgDggvbcRxnQPj/iUMgUfCbiPsAAAAASUVORK5CYII=\n", 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\n", 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" ] }, "metadata": {}, @@ -1892,79 +2720,99 @@ "\n", "fig = mp.figure(figsize=(4.25,6))\n", "\n", - "\n", + "levels = numpy.arange(0,401,25)\n", "ax1 = fig.add_subplot(311)\n", "ax1.tick_params(labelsize=fontsize)\n", - "levels = numpy.arange(0,501.,20)\n", - "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", - " (xkzq3d_diffs_latlon_mean.T/xkzq3d_400_latlon_mean.T)*100., \\\n", + "contour_plot1 = ax1.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", " cmap=cmocean.cm.amp, \\\n", " levels=levels, \\\n", " extend='max')\n", - "ax1.set_ylim(1013.25,700)\n", + "contour_lines1 = ax1.contour(xx_geopot-4, gg/9.81/1000., \\\n", + " xkzh3d_400_latlon_mean.T, \\\n", + " colors='0.1', linewidths=[0.5], \\\n", + " levels=[1,5])\n", + "clabel1 = ax1.clabel(contour_lines1, inline=1, inline_spacing=1, fontsize=fontsize, fmt='%1.0f')\n", + "ax1.set_ylim(0,3.25)\n", "ax1.set_xlim(6,18)\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", "ax1.set_xticks([i for i in range(6,19,2)])\n", - "ax1.set_yticks([700,800,900,1000])\n", - "ax1.set_ylabel('hPa', fontsize=fontsize)\n", - "\n", - "\n", + "ax1.set_yticks([0,1,2,3])\n", "\n", + "levels = numpy.arange(0,501,20)\n", "ax2 = fig.add_subplot(312)\n", "ax2.tick_params(labelsize=fontsize)\n", - "\n", - "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + "contour_plot2 = ax2.contourf(xx_geopot-4, gg/9.81/1000., \\\n", " (xkzh3d_diffs_latlon_mean.T/xkzh3d_400_latlon_mean.T)*100., \\\n", " cmap=cmocean.cm.amp, \\\n", " levels=levels, \\\n", " extend='max')\n", - "ax2.set_ylim(1013.25,700)\n", - "#ax.set_xlim(0,240)\n", + "ax2.set_ylim(0,3.25)\n", "ax2.set_xlim(6,18)\n", - "ax2.set_ylabel('hPa', fontsize=fontsize)\n", "ax2.set_xticks([i for i in range(6,19,2)])\n", - "ax2.set_yticks([700,800,900,1000])\n", - "\n", + "ax2.set_yticks([0,1,2,3])\n", + "ax2.set_ylabel('km', fontsize=fontsize)\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5', label='PBLH cont.')\n", + "ax2.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--', label='PBLH phys.')\n", "\n", "ax3 = fig.add_subplot(313)\n", "ax3.tick_params(labelsize=fontsize)\n", - "\n", - "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", - " (xkzm3d_diffs_latlon_mean.T/xkzm3d_400_latlon_mean.T)*100., \\\n", - " cmap=cmocean.cm.amp, \\\n", + "levels = numpy.arange(-.75,.751,0.05)\n", + "contour_plot3 = ax3.contourf(xx_geopot-4, gg/9.81/1000., \\\n", + " t_diffs_latlon_mean.T, \\\n", + " cmap=cmocean.cm.balance, \\\n", " levels=levels, \\\n", - " extend='max')\n", - "ax3.set_ylim(1013.25,700)\n", + " extend='both')\n", + "ax3.set_ylim(0,3.25)\n", "ax3.set_xlim(6,18)\n", - "ax3.set_xlabel('hour', fontsize=fontsize)\n", - "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", "ax3.set_xticks([i for i in range(6,19,2)])\n", - "ax3.set_yticks([700,800,900,1000])\n", - "ax1.text(s='(a) $\\Delta$ xkzq', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", - "ax2.text(s='(b) $\\Delta$ xkzh', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", - "ax3.text(s='(c) $\\Delta$ xkzm', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax3.set_yticks([0,1,2,3])\n", + "ax3.plot(xx_geopot[0,:]-4, pblh_400_latlon_mean/1000., c='0.5')\n", + "ax3.plot(xx_geopot[0,:]-4, pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", "\n", - "fig.tight_layout(h_pad=2)\n", + "ax1.text(s=r'(a) control K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s=r'(b) $\\Delta$ K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s=r'(c) $\\Delta \\theta$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=1.5)\n", "\n", "ax1pos = ax1.get_position()\n", + "cbar_ax1 = fig.add_axes([ax1pos.x1+0.04, ax1pos.y0, 0.035, ax1pos.height])\n", + "cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "cbar_ax1.tick_params(labelsize=fontsize)\n", + "cbar1.set_label('m$^{\\,2}$s$^{\\,-1}$', fontsize=fontsize, labelpad=7)\n", + "cbar1.set_ticks([i for i in range(0,401,100)])\n", + "\n", + "ax2pos = ax2.get_position()\n", + "cbar_ax2 = fig.add_axes([ax2pos.x1+0.04, ax2pos.y0, 0.035, ax2pos.height])\n", + "cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "cbar_ax2.tick_params(labelsize=fontsize)\n", + "cbar2.set_label('% change', fontsize=fontsize, labelpad=7)\n", + "cbar2.set_ticks([i for i in range(0,501,100)])\n", + "\n", "ax3pos = ax3.get_position()\n", - "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.04, ax3pos.y0, 0.035, ax3pos.height])\n", "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", "cbar_ax3.tick_params(labelsize=fontsize)\n", - "cbar3.set_label('m$^{\\,2}$ s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_label('$\\degree$C', fontsize=fontsize, labelpad=7)\n", + "cbar3.set_ticks([i for i in numpy.arange(-0.75,0.751,0.25)])\n", "\n", - "fig.savefig('figures/sensitivity_analysis_xkz_terms_diffs_percent.png', dpi=600, bbox_inches='tight')#, transparent=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "just $K_m$ and $K_h$" + "handles, labels = ax2.get_legend_handles_labels()\n", + "legend = ax2.legend(handles, labels, fontsize=fontsize, ncol=1, bbox_to_anchor=(0.05,0.9), \\\n", + " edgecolor='None', facecolor='None', fancybox=False, bbox_transform=ax2.transAxes, \\\n", + " loc='upper left', labelspacing=0, \\\n", + " borderaxespad=0, borderpad=0, handlelength=1.75, \\\n", + " handletextpad=0.5)\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_xkzh_terms_background_and_percent_change_AND_theta_zcoords.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n", + "\n" ] }, { "cell_type": "code", - "execution_count": 158, + "execution_count": 240, "metadata": {}, "outputs": [ { @@ -1972,12 +2820,12 @@ "output_type": "stream", "text": [ "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:37: RuntimeWarning: invalid value encountered in true_divide\n", - "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:47: RuntimeWarning: invalid value encountered in true_divide\n" + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:45: RuntimeWarning: invalid value encountered in true_divide\n" ] }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -2029,7 +2877,7 @@ "ax3.set_ylabel('hPa', fontsize=fontsize)\n", "ax3.set_xticks([i for i in range(6,19,2)])\n", "ax3.set_yticks([700,800,900,1000])\n", - "ax1.text(s='(a) control K$_{\\,h}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax1.text(s='(a) control K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", "ax3.text(s='(c) control K$_{\\,m}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", "\n", "\n", @@ -2043,9 +2891,7 @@ " levels=levels, \\\n", " extend='max')\n", "ax2.set_ylim(1013.25,700)\n", - "#ax.set_xlim(0,240)\n", "ax2.set_xlim(6,18)\n", - "ax2.set_ylabel('hPa', fontsize=fontsize)\n", "ax2.set_xticks([i for i in range(6,19,2)])\n", "ax2.set_yticks([700,800,900,1000])\n", "\n", @@ -2059,13 +2905,12 @@ "ax4.set_ylim(1013.25,700)\n", "ax4.set_xlim(6,18)\n", "ax4.set_xlabel('hour', fontsize=fontsize)\n", - "ax4.set_ylabel('hPa', fontsize=fontsize)\n", "ax4.set_xticks([i for i in range(6,19,2)])\n", "ax4.set_yticks([700,800,900,1000])\n", - "ax2.text(s='(b) $\\Delta$ K$_{\\,h}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ K$_{\\,t}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", "ax4.text(s='(d) $\\Delta$ K$_{\\,m}$', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", "\n", - "fig.tight_layout(h_pad=2, w_pad=7)\n", + "fig.tight_layout(h_pad=2, w_pad=8)\n", "\n", "\n", "ax1pos = ax1.get_position()\n", @@ -2073,7 +2918,7 @@ "cbar_ax3 = fig.add_axes([ax3pos.x1+0.025, ax3pos.y0, 0.0175, ax1pos.y1-ax3pos.y0])\n", "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", "cbar_ax3.tick_params(labelsize=fontsize)\n", - "cbar3.set_label('m$^{\\,2}$s$^{\\,-1}$', fontsize=fontsize)\n", + "cbar3.set_label('m$^{\\,2}$s$^{\\,-1}$', fontsize=fontsize, labelpad=7)\n", "\n", "\n", "ax2pos = ax2.get_position()\n", @@ -2081,7 +2926,7 @@ "cbar_ax4 = fig.add_axes([ax4pos.x1+0.025, ax4pos.y0, 0.0175, ax2pos.y1-ax4pos.y0])\n", "cbar4 = fig.colorbar(contour_plot4, cax=cbar_ax4)\n", "cbar_ax4.tick_params(labelsize=fontsize)\n", - "cbar4.set_label('% change', fontsize=fontsize)\n", + "cbar4.set_label('% change', fontsize=fontsize, labelpad=7)\n", "cbar4.set_ticks([i for i in range(0,501,100)])\n", "\n", "fig.savefig('figures/sensitivity_analysis_xkzm_xkzh_terms_background_and_percent_change.png', dpi=600, bbox_inches='tight', transparent=True)\n", @@ -2090,11 +2935,11 @@ ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], - "source": [] + "source": [ + "# draw PBLH and DELTA_YSU on these plots (must convert into height, not pressure)" + ] }, { "cell_type": "code", @@ -2207,6 +3052,109 @@ "fig.savefig('figures/sensitivity_analysis_duadt_day1.png', dpi=600, bbox_inches='tight', transparent=True)" ] }, + { + "cell_type": "code", + "execution_count": 264, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,6))\n", + "\n", + "\n", + "ax1 = fig.add_subplot(311)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "levels = numpy.arange(-0.15,0.151,0.025)\n", + "contour_plot1 = ax1.contourf(xx-4, pp/100., \\\n", + " dqdt_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line1 = ax1.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax1.set_ylim(1013.25,700)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_yticks([700,800,900,1000])\n", + "ax1.set_ylabel('hPa', fontsize=fontsize)\n", + "\n", + "\n", + "\n", + "ax2 = fig.add_subplot(312)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot2 = ax2.contourf(xx-4, pp/100., \\\n", + " rqvblten_diffs_latlon_mean.T*1000.*3600., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "# contour_line2 = ax2.contour(xx-4, pp/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax2.set_ylim(1013.25,700)\n", + "#ax.set_xlim(0,240)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('hPa', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.set_yticks([700,800,900,1000])\n", + "\n", + "\n", + "ax3 = fig.add_subplot(313)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "\n", + "contour_plot3 = ax3.contourf(xx-4, pp/100., \\\n", + " rqvcuten_diffs_latlon_mean.T*1000.*86400., \\\n", + " cmap=cmocean.cm.balance_r, levels=levels, extend='both')\n", + "# contour_line3 = ax3.contour(xx_dmsedt-4, ptot_400_dry_latlon_areamean.T/100., \\\n", + "# dmsedt_400_dry_latlon_areamean.T, \\\n", + "# levels=[0], linewidths=[1], colors='0.1')\n", + "ax3.set_ylim(1013.25,700)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_xlabel('hour', fontsize=fontsize)\n", + "ax3.set_ylabel('hPa', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.set_yticks([700,800,900,1000])\n", + "ax1.text(s='(a) $\\Delta$ dq/dt (full)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ dq/dt (YSU tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ dq/dt (Tiedtke tendencies)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "# cbar_ax1 = fig.add_axes([ax1pos.x1+0.05, ax1pos.y0, 0.03, ax1pos.height])\n", + "# cbar1 = fig.colorbar(contour_plot1, cax=cbar_ax1)\n", + "# cbar_ax1.tick_params(labelsize=fontsize)\n", + "# #cbar1.add_lines(contour_line1)\n", + "# cbar1.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar1.set_ticks([-.1,0,.1])\n", + "\n", + "# ax2pos = ax2.get_position()\n", + "# cbar_ax2 = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.03, ax2pos.height])\n", + "# cbar2 = fig.colorbar(contour_plot2, cax=cbar_ax2)\n", + "# cbar_ax2.tick_params(labelsize=fontsize)\n", + "# cbar2.set_label('J kg$^{\\,-1}$s$^{\\,-1}$', fontsize=fontsize)\n", + "# #cbar2.add_lines(contour_line2)\n", + "\n", + "ax3pos = ax3.get_position()\n", + "cbar_ax3 = fig.add_axes([ax3pos.x1+0.05, ax3pos.y0, 0.03, ax1pos.y1-ax3pos.y0])\n", + "cbar3 = fig.colorbar(contour_plot3, cax=cbar_ax3)\n", + "cbar_ax3.tick_params(labelsize=fontsize)\n", + "#cbar3.add_lines(contour_line3)\n", + "cbar3.set_label('g kg$^{\\,-1}$ hour$^{\\,-1}$', fontsize=fontsize)\n", + "#cbar3.set_ticks([-.01,0,.01])\n", + "\n", + "fig.savefig('figures/sensitivity_analysis_dqdt_day1.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, { "cell_type": "code", "execution_count": 212, diff --git a/gp1_calculations_for_different_PBL_schemes.ipynb b/gp1_calculations_for_different_PBL_schemes.ipynb new file mode 100644 index 0000000..05494c0 --- /dev/null +++ b/gp1_calculations_for_different_PBL_schemes.ipynb @@ -0,0 +1,2394 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import libraries" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:01:45.675285Z", + "start_time": "2018-08-18T01:01:45.650786Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import matplotlib.colors\n", + "import scipy.stats\n", + "import itertools\n", + "import string\n", + "import matplotlib.patches\n", + "import glob\n", + "import matplotlib.gridspec\n", + "import scipy.ndimage\n", + "\n", + "import wrf\n", + "import netCDF4\n", + "import cmocean\n", + "\n", + "import pandas\n", + "\n", + "import matplotlib.ticker\n", + "import cartopy.mpl.gridliner #import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n", + "\n", + "import mpl_toolkits\n", + "import cartopy\n", + "import cartopy.io.shapereader\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:10:15.984186Z", + "start_time": "2018-08-17T19:10:15.978551Z" + } + }, + "outputs": [], + "source": [ + "run_info = 'FMAASO'\n", + "skip_time=0" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# opening mean fields" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## control data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:10:16.192078Z", + "start_time": "2018-08-17T19:10:15.992560Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "001\t\t\t001_MYNN25_scheme\t 001_UW_scheme\r\n", + "001_ACM2_scheme\t\t001_MYNN30_scheme\t 001_UW_scheme_10days\r\n", + "001_ACM2_scheme_10days\t001_MYNN30_scheme_10days 001_with_extras\r\n", + "001_MYJ_scheme\t\t001_TEMF_scheme\t\t 001_with_xkzs\r\n", + "001_MYJ_scheme_10days\t001_TEMF_scheme_10days\t 001_with_xkzs_and_fxpbls\r\n" + ] + } + ], + "source": [ + "!ls /beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "YSU, ACM2, MYJ, and UW" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:11:15.906414Z", + "start_time": "2018-08-17T19:10:16.194981Z" + } + }, + "outputs": [], + "source": [ + "ysu_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_with_extras'\n", + "ysu_file_list = sorted(glob.glob(ysu_root_dir+'/'+'wrfout*'))\n", + "ysu_ds_list = [netCDF4.Dataset(file) for file in ysu_file_list]\n", + "\n", + "ysu_ptot_400 = numpy.load('DATA_ptot_400_sensitivity.npy')\n", + "ysu_geopot_400 = numpy.load('DATA_geopot_400_sensitivity.npy')\n", + "ysu_tk_400 = numpy.load('DATA_tk_400_sensitivity.npy')\n", + "\n", + "ysu_cont_mfds = xarray.open_mfdataset(ysu_root_dir + '/' + 'wrfout*')\n", + "\n", + "ysu_time = ysu_cont_mfds['Times'].values\n", + "ysu_xlat = ysu_cont_mfds['XLAT'].values[0,:,:]\n", + "ysu_xlong = ysu_cont_mfds['XLONG'].values[0,:,:]\n", + "ysu_landmask = ysu_cont_mfds['LANDMASK'].values[0,:,:]\n", + "\n", + "ysu_qvapor_400 = ysu_cont_mfds['QVAPOR'].values\n", + "ysu_t_400 = ysu_cont_mfds['T'].values\n", + "ysu_pblh_400 = ysu_cont_mfds['PBLH'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:11:20.791533Z", + "start_time": "2018-08-17T19:11:15.914849Z" + } + }, + "outputs": [], + "source": [ + "ysu_cldfra_400 = ysu_cont_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:41:25.746894Z", + "start_time": "2018-08-17T19:41:23.001210Z" + } + }, + "outputs": [], + "source": [ + "ysu_rainc_400 = ysu_cont_mfds['RAINC'].values\n", + "ysu_rainnc_400 = ysu_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:12:15.136514Z", + "start_time": "2018-08-17T19:11:20.800069Z" + } + }, + "outputs": [], + "source": [ + "acm2_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_ACM2_scheme'\n", + "acm2_file_list = sorted(glob.glob(acm2_root_dir+'/'+'wrfout*'))\n", + "acm2_ds_list = [netCDF4.Dataset(file) for file in acm2_file_list]\n", + "\n", + "acm2_ptot_400 = wrf.getvar(acm2_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "acm2_geopot_400 = wrf.getvar(acm2_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "acm2_tk_400 = wrf.getvar(acm2_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:12:47.388002Z", + "start_time": "2018-08-17T19:12:15.145019Z" + } + }, + "outputs": [], + "source": [ + "acm2_cont_mfds = xarray.open_mfdataset(acm2_root_dir + '/' + 'wrfout*')\n", + "acm2_qvapor_400 = acm2_cont_mfds['QVAPOR'].values\n", + "acm2_t_400 = acm2_cont_mfds['T'].values\n", + "acm2_pblh_400 = acm2_cont_mfds['PBLH'].values\n", + "acm2_cldfra_400 = acm2_cont_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:41:09.803888Z", + "start_time": "2018-08-17T19:41:08.793095Z" + } + }, + "outputs": [], + "source": [ + "acm2_rainc_400 = acm2_cont_mfds['RAINC'].values\n", + "acm2_rainnc_400 = acm2_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:13:46.005173Z", + "start_time": "2018-08-17T19:12:47.396472Z" + } + }, + "outputs": [], + "source": [ + "myj_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYJ_scheme'\n", + "myj_file_list = sorted(glob.glob(myj_root_dir+'/'+'wrfout*'))\n", + "myj_ds_list = [netCDF4.Dataset(file) for file in myj_file_list]\n", + "\n", + "myj_ptot_400 = wrf.getvar(myj_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "myj_geopot_400 = wrf.getvar(myj_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "myj_tk_400 = wrf.getvar(myj_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:14:15.535103Z", + "start_time": "2018-08-17T19:13:46.013849Z" + } + }, + "outputs": [], + "source": [ + "myj_cont_mfds = xarray.open_mfdataset(myj_root_dir + '/' + 'wrfout*')\n", + "myj_qvapor_400 = myj_cont_mfds['QVAPOR'].values\n", + "myj_t_400 = myj_cont_mfds['T'].values\n", + "myj_pblh_400 = myj_cont_mfds['PBLH'].values\n", + "myj_cldfra_400 = myj_cont_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:41:38.633748Z", + "start_time": "2018-08-17T19:41:35.107537Z" + } + }, + "outputs": [], + "source": [ + "myj_rainc_400 = myj_cont_mfds['RAINC'].values\n", + "myj_rainnc_400 = myj_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:15:10.107807Z", + "start_time": "2018-08-17T19:14:15.543598Z" + } + }, + "outputs": [], + "source": [ + "uw_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_UW_scheme'\n", + "uw_file_list = sorted(glob.glob(uw_root_dir+'/'+'wrfout*'))\n", + "uw_ds_list = [netCDF4.Dataset(file) for file in uw_file_list]\n", + "\n", + "uw_ptot_400 = wrf.getvar(uw_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "uw_geopot_400 = wrf.getvar(uw_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "uw_tk_400 = wrf.getvar(uw_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:15:36.823470Z", + "start_time": "2018-08-17T19:15:10.119894Z" + } + }, + "outputs": [], + "source": [ + "uw_cont_mfds = xarray.open_mfdataset(uw_root_dir + '/' + 'wrfout*')\n", + "uw_qvapor_400 = uw_cont_mfds['QVAPOR'].values\n", + "uw_t_400 = uw_cont_mfds['T'].values\n", + "uw_pblh_400 = uw_cont_mfds['PBLH'].values\n", + "uw_cldfra_400 = uw_cont_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:41:46.072890Z", + "start_time": "2018-08-17T19:41:43.863885Z" + } + }, + "outputs": [], + "source": [ + "uw_rainc_400 = uw_cont_mfds['RAINC'].values\n", + "uw_rainnc_400 = uw_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:16:33.491358Z", + "start_time": "2018-08-17T19:15:36.832078Z" + } + }, + "outputs": [], + "source": [ + "mynn25_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYNN25_scheme'\n", + "mynn25_file_list = sorted(glob.glob(mynn25_root_dir+'/'+'wrfout*'))\n", + "mynn25_ds_list = [netCDF4.Dataset(file) for file in mynn25_file_list]\n", + "\n", + "mynn25_ptot_400 = wrf.getvar(mynn25_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "mynn25_geopot_400 = wrf.getvar(mynn25_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "mynn25_tk_400 = wrf.getvar(mynn25_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:17:07.468872Z", + "start_time": "2018-08-17T19:16:33.499787Z" + } + }, + "outputs": [], + "source": [ + "mynn25_cont_mfds = xarray.open_mfdataset(mynn25_root_dir + '/' + 'wrfout*')\n", + "mynn25_qvapor_400 = mynn25_cont_mfds['QVAPOR'].values\n", + "mynn25_t_400 = mynn25_cont_mfds['T'].values\n", + "mynn25_pblh_400 = mynn25_cont_mfds['PBLH'].values\n", + "mynn25_cldfra_400 = mynn25_cont_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:41:56.845815Z", + "start_time": "2018-08-17T19:41:53.555411Z" + } + }, + "outputs": [], + "source": [ + "mynn25_rainc_400 = mynn25_cont_mfds['RAINC'].values\n", + "mynn25_rainnc_400 = mynn25_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:18:10.563876Z", + "start_time": "2018-08-17T19:17:07.477311Z" + } + }, + "outputs": [], + "source": [ + "mynn30_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYNN30_scheme'\n", + "mynn30_file_list = sorted(glob.glob(mynn30_root_dir+'/'+'wrfout*'))\n", + "mynn30_ds_list = [netCDF4.Dataset(file) for file in mynn30_file_list]\n", + "\n", + "mynn30_ptot_400 = wrf.getvar(mynn30_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "mynn30_geopot_400 = wrf.getvar(mynn30_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "mynn30_tk_400 = wrf.getvar(mynn30_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:18:45.695946Z", + "start_time": "2018-08-17T19:18:10.572324Z" + } + }, + "outputs": [], + "source": [ + "mynn30_cont_mfds = xarray.open_mfdataset(mynn30_root_dir + '/' + 'wrfout*')\n", + "mynn30_qvapor_400 = mynn30_cont_mfds['QVAPOR'].values\n", + "mynn30_t_400 = mynn30_cont_mfds['T'].values\n", + "mynn30_pblh_400 = mynn30_cont_mfds['PBLH'].values\n", + "mynn30_cldfra_400 = mynn30_cont_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:42:06.324141Z", + "start_time": "2018-08-17T19:42:02.532756Z" + } + }, + "outputs": [], + "source": [ + "mynn30_rainc_400 = mynn30_cont_mfds['RAINC'].values\n", + "mynn30_rainnc_400 = mynn30_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:19:52.886283Z", + "start_time": "2018-08-17T19:18:45.704686Z" + } + }, + "outputs": [], + "source": [ + "temf_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_TEMF_scheme'\n", + "temf_file_list = sorted(glob.glob(temf_root_dir+'/'+'wrfout*'))\n", + "temf_ds_list = [netCDF4.Dataset(file) for file in temf_file_list]\n", + "\n", + "temf_ptot_400 = wrf.getvar(temf_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "temf_geopot_400 = wrf.getvar(temf_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "temf_tk_400 = wrf.getvar(temf_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:20:25.632254Z", + "start_time": "2018-08-17T19:19:52.894625Z" + } + }, + "outputs": [], + "source": [ + "temf_cont_mfds = xarray.open_mfdataset(temf_root_dir + '/' + 'wrfout*')\n", + "temf_qvapor_400 = temf_cont_mfds['QVAPOR'].values\n", + "temf_t_400 = temf_cont_mfds['T'].values\n", + "temf_pblh_400 = temf_cont_mfds['PBLH'].values\n", + "temf_cldfra_400 = temf_cont_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:42:13.179566Z", + "start_time": "2018-08-17T19:42:10.587780Z" + } + }, + "outputs": [], + "source": [ + "temf_rainc_400 = temf_cont_mfds['RAINC'].values\n", + "temf_rainnc_400 = temf_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## phys data" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:21:31.674018Z", + "start_time": "2018-08-17T19:20:25.640902Z" + } + }, + "outputs": [], + "source": [ + "ysu_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_with_extras'\n", + "ysu_file_list = sorted(glob.glob(ysu_root_dir+'/'+'wrfout*'))\n", + "ysu_ds_list = [netCDF4.Dataset(file) for file in ysu_file_list]\n", + "\n", + "ysu_ptot_1000 = numpy.load('DATA_ptot_1000_sensitivity.npy')\n", + "ysu_geopot_1000 = numpy.load('DATA_geopot_1000_sensitivity.npy')\n", + "ysu_tk_1000 = numpy.load('DATA_tk_1000_sensitivity.npy')\n", + "\n", + "ysu_phys_mfds = xarray.open_mfdataset(ysu_root_dir + '/' + 'wrfout*')\n", + "ysu_qvapor_1000 = ysu_phys_mfds['QVAPOR'].values\n", + "ysu_t_1000 = ysu_phys_mfds['T'].values\n", + "ysu_pblh_1000 = ysu_phys_mfds['PBLH'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:21:36.524994Z", + "start_time": "2018-08-17T19:21:31.682784Z" + } + }, + "outputs": [], + "source": [ + "ysu_cldfra_1000 = ysu_phys_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:42:34.950754Z", + "start_time": "2018-08-17T19:42:32.356341Z" + } + }, + "outputs": [], + "source": [ + "ysu_rainc_1000 = ysu_phys_mfds['RAINC'].values\n", + "ysu_rainnc_1000 = ysu_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:22:42.180675Z", + "start_time": "2018-08-17T19:21:36.533580Z" + } + }, + "outputs": [], + "source": [ + "acm2_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_ACM2_scheme'\n", + "acm2_file_list = sorted(glob.glob(acm2_root_dir+'/'+'wrfout*'))\n", + "acm2_ds_list = [netCDF4.Dataset(file) for file in acm2_file_list]\n", + "\n", + "acm2_ptot_1000 = wrf.getvar(acm2_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "acm2_geopot_1000 = wrf.getvar(acm2_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "acm2_tk_1000 = wrf.getvar(acm2_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:23:10.856730Z", + "start_time": "2018-08-17T19:22:42.189179Z" + } + }, + "outputs": [], + "source": [ + "acm2_phys_mfds = xarray.open_mfdataset(acm2_root_dir + '/' + 'wrfout*')\n", + "acm2_qvapor_1000 = acm2_phys_mfds['QVAPOR'].values\n", + "acm2_t_1000 = acm2_phys_mfds['T'].values\n", + "acm2_pblh_1000 = acm2_phys_mfds['PBLH'].values\n", + "acm2_cldfra_1000 = acm2_phys_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:42:45.055219Z", + "start_time": "2018-08-17T19:42:42.537082Z" + } + }, + "outputs": [], + "source": [ + "acm2_rainc_1000 = acm2_phys_mfds['RAINC'].values\n", + "acm2_rainnc_1000 = acm2_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:24:10.957543Z", + "start_time": "2018-08-17T19:23:10.865149Z" + } + }, + "outputs": [], + "source": [ + "myj_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_MYJ_scheme'\n", + "myj_file_list = sorted(glob.glob(myj_root_dir+'/'+'wrfout*'))\n", + "myj_ds_list = [netCDF4.Dataset(file) for file in myj_file_list]\n", + "\n", + "myj_ptot_1000 = wrf.getvar(myj_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "myj_geopot_1000 = wrf.getvar(myj_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "myj_tk_1000 = wrf.getvar(myj_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:24:40.989267Z", + "start_time": "2018-08-17T19:24:10.966202Z" + } + }, + "outputs": [], + "source": [ + "myj_phys_mfds = xarray.open_mfdataset(myj_root_dir + '/' + 'wrfout*')\n", + "myj_qvapor_1000 = myj_phys_mfds['QVAPOR'].values\n", + "myj_t_1000 = myj_phys_mfds['T'].values\n", + "myj_pblh_1000 = myj_phys_mfds['PBLH'].values\n", + "myj_cldfra_1000 = myj_phys_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:42:53.615548Z", + "start_time": "2018-08-17T19:42:51.022196Z" + } + }, + "outputs": [], + "source": [ + "myj_rainc_1000 = myj_phys_mfds['RAINC'].values\n", + "myj_rainnc_1000 = myj_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:25:37.402088Z", + "start_time": "2018-08-17T19:24:40.997842Z" + } + }, + "outputs": [], + "source": [ + "uw_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_UW_scheme'\n", + "uw_file_list = sorted(glob.glob(uw_root_dir+'/'+'wrfout*'))\n", + "uw_ds_list = [netCDF4.Dataset(file) for file in uw_file_list]\n", + "\n", + "uw_ptot_1000 = wrf.getvar(uw_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "uw_geopot_1000 = wrf.getvar(uw_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "uw_tk_1000 = wrf.getvar(uw_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:26:04.454229Z", + "start_time": "2018-08-17T19:25:37.410683Z" + } + }, + "outputs": [], + "source": [ + "uw_phys_mfds = xarray.open_mfdataset(uw_root_dir + '/' + 'wrfout*')\n", + "uw_qvapor_1000 = uw_phys_mfds['QVAPOR'].values\n", + "uw_t_1000 = uw_phys_mfds['T'].values\n", + "uw_pblh_1000 = uw_phys_mfds['PBLH'].values\n", + "uw_cldfra_1000 = uw_phys_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:43:02.578229Z", + "start_time": "2018-08-17T19:42:59.717851Z" + } + }, + "outputs": [], + "source": [ + "uw_rainc_1000 = uw_phys_mfds['RAINC'].values\n", + "uw_rainnc_1000 = uw_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:27:11.236615Z", + "start_time": "2018-08-17T19:26:04.462715Z" + } + }, + "outputs": [], + "source": [ + "mynn25_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_MYNN25_scheme'\n", + "mynn25_file_list = sorted(glob.glob(mynn25_root_dir+'/'+'wrfout*'))\n", + "mynn25_ds_list = [netCDF4.Dataset(file) for file in mynn25_file_list]\n", + "\n", + "mynn25_ptot_1000 = wrf.getvar(mynn25_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "mynn25_geopot_1000 = wrf.getvar(mynn25_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "mynn25_tk_1000 = wrf.getvar(mynn25_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:27:44.839035Z", + "start_time": "2018-08-17T19:27:11.245067Z" + } + }, + "outputs": [], + "source": [ + "mynn25_phys_mfds = xarray.open_mfdataset(mynn25_root_dir + '/' + 'wrfout*')\n", + "mynn25_qvapor_1000 = mynn25_phys_mfds['QVAPOR'].values\n", + "mynn25_t_1000 = mynn25_phys_mfds['T'].values\n", + "mynn25_pblh_1000 = mynn25_phys_mfds['PBLH'].values\n", + "mynn25_cldfra_1000 = mynn25_phys_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:43:12.753610Z", + "start_time": "2018-08-17T19:43:09.379735Z" + } + }, + "outputs": [], + "source": [ + "mynn25_rainc_1000 = mynn25_phys_mfds['RAINC'].values\n", + "mynn25_rainnc_1000 = mynn25_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:29:16.311496Z", + "start_time": "2018-08-17T19:27:44.847468Z" + } + }, + "outputs": [], + "source": [ + "mynn30_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_MYNN30_scheme'\n", + "mynn30_file_list = sorted(glob.glob(mynn30_root_dir+'/'+'wrfout*'))\n", + "mynn30_ds_list = [netCDF4.Dataset(file) for file in mynn30_file_list]\n", + "\n", + "mynn30_ptot_1000 = wrf.getvar(mynn30_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "mynn30_geopot_1000 = wrf.getvar(mynn30_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "mynn30_tk_1000 = wrf.getvar(mynn30_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:30:07.638195Z", + "start_time": "2018-08-17T19:29:16.320168Z" + } + }, + "outputs": [], + "source": [ + "mynn30_phys_mfds = xarray.open_mfdataset(mynn30_root_dir + '/' + 'wrfout*')\n", + "mynn30_qvapor_1000 = mynn30_phys_mfds['QVAPOR'].values\n", + "mynn30_t_1000 = mynn30_phys_mfds['T'].values\n", + "mynn30_pblh_1000 = mynn30_phys_mfds['PBLH'].values\n", + "mynn30_cldfra_1000 = mynn30_phys_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:43:28.185925Z", + "start_time": "2018-08-17T19:43:25.053454Z" + } + }, + "outputs": [], + "source": [ + "mynn30_rainc_1000 = mynn30_phys_mfds['RAINC'].values\n", + "mynn30_rainnc_1000 = mynn30_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:31:36.570309Z", + "start_time": "2018-08-17T19:30:07.646876Z" + } + }, + "outputs": [], + "source": [ + "temf_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_TEMF_scheme'\n", + "temf_file_list = sorted(glob.glob(temf_root_dir+'/'+'wrfout*'))\n", + "temf_ds_list = [netCDF4.Dataset(file) for file in temf_file_list]\n", + "\n", + "temf_ptot_1000 = wrf.getvar(temf_ds_list, 'p', timeidx=wrf.ALL_TIMES).values\n", + "temf_geopot_1000 = wrf.getvar(temf_ds_list, 'geopotential', timeidx=wrf.ALL_TIMES).values\n", + "temf_tk_1000 = wrf.getvar(temf_ds_list, 'tk', timeidx=wrf.ALL_TIMES).values" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:11.942605Z", + "start_time": "2018-08-17T19:31:36.578977Z" + } + }, + "outputs": [], + "source": [ + "temf_phys_mfds = xarray.open_mfdataset(temf_root_dir + '/' + 'wrfout*')\n", + "temf_qvapor_1000 = temf_phys_mfds['QVAPOR'].values\n", + "temf_t_1000 = temf_phys_mfds['T'].values\n", + "temf_pblh_1000 = temf_phys_mfds['PBLH'].values\n", + "temf_cldfra_1000 = temf_phys_mfds['CLDFRA'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:43:35.669772Z", + "start_time": "2018-08-17T19:43:32.168747Z" + } + }, + "outputs": [], + "source": [ + "temf_rainc_1000 = temf_phys_mfds['RAINC'].values\n", + "temf_rainnc_1000 = temf_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## define dx, dy" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:11.956567Z", + "start_time": "2018-08-17T19:32:11.951287Z" + } + }, + "outputs": [], + "source": [ + "dx = 50000. # 50,000 m or 50 km\n", + "dy = 50000." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# constants" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:12.043841Z", + "start_time": "2018-08-17T19:32:11.965027Z" + } + }, + "outputs": [], + "source": [ + "L_v = 2264705.0 # J/kg\n", + "c_p = 1005.7 # J/kgK\n", + "g = 9.80665 # m/s2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## get landmask" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:12.184083Z", + "start_time": "2018-08-17T19:32:12.052633Z" + } + }, + "outputs": [], + "source": [ + "landmask = ysu_cont_mfds['LANDMASK'].sel(Time=0).values" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:12.548727Z", + "start_time": "2018-08-17T19:32:12.192542Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.contourf(landmask);mp.colorbar()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# calculate MSE" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.150045Z", + "start_time": "2018-08-17T19:32:12.557075Z" + } + }, + "outputs": [], + "source": [ + "ysu_mse_400 = ysu_geopot_400 + L_v*ysu_qvapor_400 + c_p*ysu_tk_400\n", + "ysu_mse_1000 = ysu_geopot_1000 + L_v*ysu_qvapor_1000 + c_p*ysu_tk_1000" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "set up time/lev numbers" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.163908Z", + "start_time": "2018-08-17T19:32:13.158476Z" + } + }, + "outputs": [], + "source": [ + "ntime = 25\n", + "nlev = 29" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "calculate lat lon stuff" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.228876Z", + "start_time": "2018-08-17T19:32:13.172248Z" + } + }, + "outputs": [], + "source": [ + "dry_lon_lo, dry_lon_hi, dry_lat_lo, dry_lat_hi = -60,-50,-10,10\n", + "wet_lon_lo, wet_lon_hi, wet_lat_lo, wet_lat_hi = -80,-75,-10,10\n", + "\n", + "dry_lon_lo_degE = 360+dry_lon_lo\n", + "dry_lon_hi_degE = 360+dry_lon_hi\n", + "\n", + "wet_lon_lo_degE = 360+wet_lon_lo\n", + "wet_lon_hi_degE = 360+wet_lon_hi" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.295137Z", + "start_time": "2018-08-17T19:32:13.237641Z" + } + }, + "outputs": [], + "source": [ + "lon_lo = dry_lon_lo\n", + "lon_hi = dry_lon_hi\n", + "lat_lo = dry_lat_lo\n", + "lat_hi = dry_lat_hi\n", + "\n", + "# lon_lo = wet_lon_lo\n", + "# lon_hi = wet_lon_hi\n", + "# lat_lo = wet_lat_lo\n", + "# lat_hi = wet_lat_hi" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.354450Z", + "start_time": "2018-08-17T19:32:13.303865Z" + } + }, + "outputs": [], + "source": [ + "landmask_indices = numpy.copy(landmask)\n", + "landmask_indices[landmask==1]=1\n", + "landmask_indices[landmask!=1]=0\n", + "landmask_indices = numpy.array(landmask_indices, dtype=bool)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.416069Z", + "start_time": "2018-08-17T19:32:13.362816Z" + } + }, + "outputs": [], + "source": [ + "lon_indices = (ysu_xlong>=lon_lo)&(ysu_xlong<=lon_hi)\n", + "lat_indices = (ysu_xlat>=lat_lo)&(ysu_xlat<=lat_hi)\n", + "latlon_indices = (lon_indices)&(lat_indices)&(landmask_indices)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# take latlon means" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "pblh, deltaysu" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.656637Z", + "start_time": "2018-08-17T19:32:13.418865Z" + } + }, + "outputs": [], + "source": [ + "ysu_pblh_400_latlon_mean = numpy.nanmean(ysu_pblh_400[:,latlon_indices], axis=1)\n", + "ysu_pblh_1000_latlon_mean = numpy.nanmean(ysu_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "ysu_qvapor_400_latlon_mean = numpy.nanmean(ysu_qvapor_400[:,:,latlon_indices], axis=2)\n", + "ysu_qvapor_1000_latlon_mean = numpy.nanmean(ysu_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "ysu_tk_400_latlon_mean = numpy.nanmean(ysu_tk_400[:,:,latlon_indices], axis=2)\n", + "ysu_tk_1000_latlon_mean = numpy.nanmean(ysu_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "ysu_cldfra_400_latlon_mean = numpy.nanmean(ysu_cldfra_400[:,:,latlon_indices], axis=2)\n", + "ysu_cldfra_1000_latlon_mean = numpy.nanmean(ysu_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:02.575358Z", + "start_time": "2018-08-17T19:45:02.559639Z" + } + }, + "outputs": [], + "source": [ + "ysu_raintot_400 = ysu_rainc_400 + ysu_rainnc_400\n", + "ysu_raintot_1000 = ysu_rainc_1000 + ysu_rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.723894Z", + "start_time": "2018-08-17T19:32:13.665094Z" + } + }, + "outputs": [], + "source": [ + "myj_pblh_400_latlon_mean = numpy.nanmean(myj_pblh_400[:,latlon_indices], axis=1)\n", + "myj_pblh_1000_latlon_mean = numpy.nanmean(myj_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "myj_qvapor_400_latlon_mean = numpy.nanmean(myj_qvapor_400[:,:,latlon_indices], axis=2)\n", + "myj_qvapor_1000_latlon_mean = numpy.nanmean(myj_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "myj_tk_400_latlon_mean = numpy.nanmean(myj_tk_400[:,:,latlon_indices], axis=2)\n", + "myj_tk_1000_latlon_mean = numpy.nanmean(myj_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "myj_cldfra_400_latlon_mean = numpy.nanmean(myj_cldfra_400[:,:,latlon_indices], axis=2)\n", + "myj_cldfra_1000_latlon_mean = numpy.nanmean(myj_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:10.068178Z", + "start_time": "2018-08-17T19:45:10.049592Z" + } + }, + "outputs": [], + "source": [ + "myj_raintot_400 = myj_rainc_400 + myj_rainnc_400\n", + "myj_raintot_1000 = myj_rainc_1000 + myj_rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.809174Z", + "start_time": "2018-08-17T19:32:13.732447Z" + } + }, + "outputs": [], + "source": [ + "acm2_pblh_400_latlon_mean = numpy.nanmean(acm2_pblh_400[:,latlon_indices], axis=1)\n", + "acm2_pblh_1000_latlon_mean = numpy.nanmean(acm2_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "acm2_qvapor_400_latlon_mean = numpy.nanmean(acm2_qvapor_400[:,:,latlon_indices], axis=2)\n", + "acm2_qvapor_1000_latlon_mean = numpy.nanmean(acm2_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "acm2_tk_400_latlon_mean = numpy.nanmean(acm2_tk_400[:,:,latlon_indices], axis=2)\n", + "acm2_tk_1000_latlon_mean = numpy.nanmean(acm2_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "acm2_cldfra_400_latlon_mean = numpy.nanmean(acm2_cldfra_400[:,:,latlon_indices], axis=2)\n", + "acm2_cldfra_1000_latlon_mean = numpy.nanmean(acm2_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:16.662517Z", + "start_time": "2018-08-17T19:45:16.644812Z" + } + }, + "outputs": [], + "source": [ + "acm2_raintot_400 = acm2_rainc_400 + acm2_rainnc_400\n", + "acm2_raintot_1000 = acm2_rainc_1000 + acm2_rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.892024Z", + "start_time": "2018-08-17T19:32:13.817970Z" + } + }, + "outputs": [], + "source": [ + "uw_pblh_400_latlon_mean = numpy.nanmean(uw_pblh_400[:,latlon_indices], axis=1)\n", + "uw_pblh_1000_latlon_mean = numpy.nanmean(uw_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "uw_qvapor_400_latlon_mean = numpy.nanmean(uw_qvapor_400[:,:,latlon_indices], axis=2)\n", + "uw_qvapor_1000_latlon_mean = numpy.nanmean(uw_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "uw_tk_400_latlon_mean = numpy.nanmean(uw_tk_400[:,:,latlon_indices], axis=2)\n", + "uw_tk_1000_latlon_mean = numpy.nanmean(uw_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "uw_cldfra_400_latlon_mean = numpy.nanmean(uw_cldfra_400[:,:,latlon_indices], axis=2)\n", + "uw_cldfra_1000_latlon_mean = numpy.nanmean(uw_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:23.419095Z", + "start_time": "2018-08-17T19:45:23.400626Z" + } + }, + "outputs": [], + "source": [ + "uw_raintot_400 = uw_rainc_400 + uw_rainnc_400\n", + "uw_raintot_1000 = uw_rainc_1000 + uw_rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:13.968030Z", + "start_time": "2018-08-17T19:32:13.900619Z" + } + }, + "outputs": [], + "source": [ + "mynn25_pblh_400_latlon_mean = numpy.nanmean(mynn25_pblh_400[:,latlon_indices], axis=1)\n", + "mynn25_pblh_1000_latlon_mean = numpy.nanmean(mynn25_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "mynn25_qvapor_400_latlon_mean = numpy.nanmean(mynn25_qvapor_400[:,:,latlon_indices], axis=2)\n", + "mynn25_qvapor_1000_latlon_mean = numpy.nanmean(mynn25_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "mynn25_tk_400_latlon_mean = numpy.nanmean(mynn25_tk_400[:,:,latlon_indices], axis=2)\n", + "mynn25_tk_1000_latlon_mean = numpy.nanmean(mynn25_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "mynn25_cldfra_400_latlon_mean = numpy.nanmean(mynn25_cldfra_400[:,:,latlon_indices], axis=2)\n", + "mynn25_cldfra_1000_latlon_mean = numpy.nanmean(mynn25_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:30.759565Z", + "start_time": "2018-08-17T19:45:30.742249Z" + } + }, + "outputs": [], + "source": [ + "mynn25_raintot_400 = mynn25_rainc_400 + mynn25_rainnc_400\n", + "mynn25_raintot_1000 = mynn25_rainc_1000 + mynn25_rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.043458Z", + "start_time": "2018-08-17T19:32:13.976670Z" + } + }, + "outputs": [], + "source": [ + "mynn30_pblh_400_latlon_mean = numpy.nanmean(mynn30_pblh_400[:,latlon_indices], axis=1)\n", + "mynn30_pblh_1000_latlon_mean = numpy.nanmean(mynn30_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "mynn30_qvapor_400_latlon_mean = numpy.nanmean(mynn30_qvapor_400[:,:,latlon_indices], axis=2)\n", + "mynn30_qvapor_1000_latlon_mean = numpy.nanmean(mynn30_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "mynn30_tk_400_latlon_mean = numpy.nanmean(mynn30_tk_400[:,:,latlon_indices], axis=2)\n", + "mynn30_tk_1000_latlon_mean = numpy.nanmean(mynn30_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "mynn30_cldfra_400_latlon_mean = numpy.nanmean(mynn30_cldfra_400[:,:,latlon_indices], axis=2)\n", + "mynn30_cldfra_1000_latlon_mean = numpy.nanmean(mynn30_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:39.318839Z", + "start_time": "2018-08-17T19:45:39.301336Z" + } + }, + "outputs": [], + "source": [ + "mynn30_raintot_400 = mynn30_rainc_400 + mynn30_rainnc_400\n", + "mynn30_raintot_1000 = mynn30_rainc_1000 + mynn30_rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.160572Z", + "start_time": "2018-08-17T19:32:14.051881Z" + } + }, + "outputs": [], + "source": [ + "temf_pblh_400_latlon_mean = numpy.nanmean(temf_pblh_400[:,latlon_indices], axis=1)\n", + "temf_pblh_1000_latlon_mean = numpy.nanmean(temf_pblh_1000[:,latlon_indices], axis=1)\n", + "\n", + "temf_qvapor_400_latlon_mean = numpy.nanmean(temf_qvapor_400[:,:,latlon_indices], axis=2)\n", + "temf_qvapor_1000_latlon_mean = numpy.nanmean(temf_qvapor_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "temf_tk_400_latlon_mean = numpy.nanmean(temf_tk_400[:,:,latlon_indices], axis=2)\n", + "temf_tk_1000_latlon_mean = numpy.nanmean(temf_tk_1000[:,:,latlon_indices], axis=2)\n", + "\n", + "temf_cldfra_400_latlon_mean = numpy.nanmean(temf_cldfra_400[:,:,latlon_indices], axis=2)\n", + "temf_cldfra_1000_latlon_mean = numpy.nanmean(temf_cldfra_1000[:,:,latlon_indices], axis=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:45:54.768328Z", + "start_time": "2018-08-17T19:45:54.750137Z" + } + }, + "outputs": [], + "source": [ + "temf_raintot_400 = temf_rainc_400 + temf_rainnc_400\n", + "temf_raintot_1000 = temf_rainc_1000 + temf_rainnc_1000" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "raintot time means" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:12:05.022120Z", + "start_time": "2018-08-18T01:12:04.992288Z" + } + }, + "outputs": [], + "source": [ + "ysu_raintot_400_hourly = numpy.diff(ysu_raintot_400, axis=0)\n", + "ysu_raintot_1000_hourly = numpy.diff(ysu_raintot_1000, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:12:17.845578Z", + "start_time": "2018-08-18T01:12:17.822531Z" + } + }, + "outputs": [], + "source": [ + "ysu_raintot_hourly_diffs = ysu_raintot_1000_hourly-ysu_raintot_400_hourly" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:12:36.010558Z", + "start_time": "2018-08-18T01:12:35.971496Z" + } + }, + "outputs": [], + "source": [ + "ysu_raintot_hourly_diffs_timemean = numpy.nanmean(ysu_raintot_hourly_diffs, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:14:07.775354Z", + "start_time": "2018-08-18T01:14:07.360424Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 123, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.contourf(ysu_raintot_hourly_diffs_timemean*24., cmap=cmocean.cm.balance);mp.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:51:11.490456Z", + "start_time": "2018-08-17T19:51:11.482363Z" + } + }, + "outputs": [], + "source": [ + "ysu_raintot_diffs = ysu_raintot_1000[-1,:,:]-ysu_raintot_400[-1,:,:]" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:51:52.464217Z", + "start_time": "2018-08-17T19:51:51.982637Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 108, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.pcolormesh(ysu_raintot_diffs, vmin=-.001,vmax=.001);mp.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:49:24.865741Z", + "start_time": "2018-08-17T19:49:24.835180Z" + } + }, + "outputs": [], + "source": [ + "ysu_raintot_400_time_mean = numpy.nanmean(ysu_raintot_400, axis=0)\n", + "ysu_raintot_1000_time_mean = numpy.nanmean(ysu_raintot_1000, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:49:45.603914Z", + "start_time": "2018-08-17T19:49:45.141989Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 100, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.pcolormesh((ysu_raintot_1000_time_mean-ysu_raintot_400_time_mean), vmin=-.01,vmax=.01)\n", + "mp.colorbar()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# calculate diffs" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.296274Z", + "start_time": "2018-08-17T19:32:14.169083Z" + } + }, + "outputs": [], + "source": [ + "ysu_tk_diffs_latlon_mean = ysu_tk_1000_latlon_mean - ysu_tk_400_latlon_mean\n", + "ysu_qvapor_diffs_latlon_mean = ysu_qvapor_1000_latlon_mean - ysu_qvapor_400_latlon_mean\n", + "ysu_cldfra_diffs_latlon_mean = ysu_cldfra_1000_latlon_mean - ysu_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "ysu" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.390167Z", + "start_time": "2018-08-17T19:32:14.304915Z" + } + }, + "outputs": [], + "source": [ + "myj_tk_diffs_latlon_mean = myj_tk_1000_latlon_mean - myj_tk_400_latlon_mean\n", + "myj_qvapor_diffs_latlon_mean = myj_qvapor_1000_latlon_mean - myj_qvapor_400_latlon_mean\n", + "myj_cldfra_diffs_latlon_mean = myj_cldfra_1000_latlon_mean - myj_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.489734Z", + "start_time": "2018-08-17T19:32:14.399081Z" + } + }, + "outputs": [], + "source": [ + "acm2_tk_diffs_latlon_mean = acm2_tk_1000_latlon_mean - acm2_tk_400_latlon_mean\n", + "acm2_qvapor_diffs_latlon_mean = acm2_qvapor_1000_latlon_mean - acm2_qvapor_400_latlon_mean\n", + "acm2_cldfra_diffs_latlon_mean = acm2_cldfra_1000_latlon_mean - acm2_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.589877Z", + "start_time": "2018-08-17T19:32:14.498530Z" + } + }, + "outputs": [], + "source": [ + "uw_tk_diffs_latlon_mean = uw_tk_1000_latlon_mean - uw_tk_400_latlon_mean\n", + "uw_qvapor_diffs_latlon_mean = uw_qvapor_1000_latlon_mean - uw_qvapor_400_latlon_mean\n", + "uw_cldfra_diffs_latlon_mean = uw_cldfra_1000_latlon_mean - uw_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.689750Z", + "start_time": "2018-08-17T19:32:14.595221Z" + } + }, + "outputs": [], + "source": [ + "mynn25_tk_diffs_latlon_mean = mynn25_tk_1000_latlon_mean - mynn25_tk_400_latlon_mean\n", + "mynn25_qvapor_diffs_latlon_mean = mynn25_qvapor_1000_latlon_mean - mynn25_qvapor_400_latlon_mean\n", + "mynn25_cldfra_diffs_latlon_mean = mynn25_cldfra_1000_latlon_mean - mynn25_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:14.795825Z", + "start_time": "2018-08-17T19:32:14.692617Z" + } + }, + "outputs": [], + "source": [ + "mynn30_tk_diffs_latlon_mean = mynn30_tk_1000_latlon_mean - mynn30_tk_400_latlon_mean\n", + "mynn30_qvapor_diffs_latlon_mean = mynn30_qvapor_1000_latlon_mean - mynn30_qvapor_400_latlon_mean\n", + "mynn30_cldfra_diffs_latlon_mean = mynn30_cldfra_1000_latlon_mean - mynn30_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:15.004530Z", + "start_time": "2018-08-17T19:32:14.798242Z" + } + }, + "outputs": [], + "source": [ + "temf_tk_diffs_latlon_mean = temf_tk_1000_latlon_mean - temf_tk_400_latlon_mean\n", + "temf_qvapor_diffs_latlon_mean = temf_qvapor_1000_latlon_mean - temf_qvapor_400_latlon_mean\n", + "temf_cldfra_diffs_latlon_mean = temf_cldfra_1000_latlon_mean - temf_cldfra_400_latlon_mean" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plots" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:15.198223Z", + "start_time": "2018-08-17T19:32:15.007022Z" + } + }, + "outputs": [], + "source": [ + "ysu_ptot_400_latlon_time_mean = numpy.nanmean(ysu_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "ysu_geopot_400_latlon_time_mean = numpy.nanmean(ysu_geopot_400[:,:,latlon_indices], axis=(0,2))\n", + "\n", + "myj_ptot_400_latlon_time_mean = numpy.nanmean(myj_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "myj_geopot_400_latlon_time_mean = numpy.nanmean(myj_geopot_400[:,:,latlon_indices], axis=(0,2))\n", + "\n", + "acm2_ptot_400_latlon_time_mean = numpy.nanmean(acm2_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "acm2_geopot_400_latlon_time_mean = numpy.nanmean(acm2_geopot_400[:,:,latlon_indices], axis=(0,2))\n", + "\n", + "uw_ptot_400_latlon_time_mean = numpy.nanmean(uw_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "uw_geopot_400_latlon_time_mean = numpy.nanmean(uw_geopot_400[:,:,latlon_indices], axis=(0,2))\n", + "\n", + "mynn25_ptot_400_latlon_time_mean = numpy.nanmean(mynn25_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "mynn25_geopot_400_latlon_time_mean = numpy.nanmean(mynn25_geopot_400[:,:,latlon_indices], axis=(0,2))\n", + "\n", + "mynn30_ptot_400_latlon_time_mean = numpy.nanmean(mynn30_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "mynn30_geopot_400_latlon_time_mean = numpy.nanmean(mynn30_geopot_400[:,:,latlon_indices], axis=(0,2))\n", + "\n", + "temf_ptot_400_latlon_time_mean = numpy.nanmean(temf_ptot_400[:,:,latlon_indices], axis=(0,2))\n", + "temf_geopot_400_latlon_time_mean = numpy.nanmean(temf_geopot_400[:,:,latlon_indices], axis=(0,2))" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:15.221854Z", + "start_time": "2018-08-17T19:32:15.206843Z" + } + }, + "outputs": [], + "source": [ + "ysu_xx, ysu_pp = numpy.meshgrid(numpy.arange(ntime), ysu_ptot_400_latlon_time_mean)\n", + "ysu_xx_geopot, ysu_gg = numpy.meshgrid(numpy.arange(ntime), ysu_geopot_400_latlon_time_mean)\n", + "\n", + "myj_xx, myj_pp = numpy.meshgrid(numpy.arange(ntime), myj_ptot_400_latlon_time_mean)\n", + "myj_xx_geopot, myj_gg = numpy.meshgrid(numpy.arange(ntime), myj_geopot_400_latlon_time_mean)\n", + "\n", + "acm2_xx, acm2_pp = numpy.meshgrid(numpy.arange(ntime), acm2_ptot_400_latlon_time_mean)\n", + "acm2_xx_geopot, acm2_gg = numpy.meshgrid(numpy.arange(ntime), acm2_geopot_400_latlon_time_mean)\n", + "\n", + "uw_xx, uw_pp = numpy.meshgrid(numpy.arange(ntime), uw_ptot_400_latlon_time_mean)\n", + "uw_xx_geopot, uw_gg = numpy.meshgrid(numpy.arange(ntime), uw_geopot_400_latlon_time_mean)\n", + "\n", + "mynn25_xx, mynn25_pp = numpy.meshgrid(numpy.arange(ntime), mynn25_ptot_400_latlon_time_mean)\n", + "mynn25_xx_geopot, mynn25_gg = numpy.meshgrid(numpy.arange(ntime), mynn25_geopot_400_latlon_time_mean)\n", + "\n", + "mynn30_xx, mynn30_pp = numpy.meshgrid(numpy.arange(ntime), mynn30_ptot_400_latlon_time_mean)\n", + "mynn30_xx_geopot, mynn30_gg = numpy.meshgrid(numpy.arange(ntime), mynn30_geopot_400_latlon_time_mean)\n", + "\n", + "temf_xx, temf_pp = numpy.meshgrid(numpy.arange(ntime), temf_ptot_400_latlon_time_mean)\n", + "temf_xx_geopot, temf_gg = numpy.meshgrid(numpy.arange(ntime), temf_geopot_400_latlon_time_mean)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "for qvapor" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:20.970002Z", + "start_time": "2018-08-17T19:32:15.230320Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,10))\n", + "levels = numpy.arange(-0.5,0.51,0.05)\n", + "\n", + "\n", + "ax1 = fig.add_subplot(511)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(ysu_xx_geopot-4, ysu_gg/9.81/1000., \\\n", + " ysu_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "\n", + "ax2 = fig.add_subplot(512)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(temf_xx_geopot-4, temf_gg/9.81/1000., \\\n", + " temf_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('km', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax3 = fig.add_subplot(513)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax3.contourf(acm2_xx_geopot-4, acm2_gg/9.81/1000., \\\n", + " acm2_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax4 = fig.add_subplot(514)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax4.contourf(uw_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " uw_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax4.set_ylim(0,3.25)\n", + "ax4.set_xlim(6,18)\n", + "ax4.set_ylabel('km', fontsize=fontsize)\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax5 = fig.add_subplot(515)\n", + "ax5.tick_params(labelsize=fontsize)\n", + "contour_plot5 = ax5.contourf(mynn30_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " mynn30_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax5.set_ylim(0,3.25)\n", + "ax5.set_xlim(6,18)\n", + "ax5.set_ylabel('km', fontsize=fontsize)\n", + "ax5.set_xticks([i for i in range(6,19,2)])\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax1.text(s='(a) $\\Delta$ moisture (YSU)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ moisture (TEMF)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ moisture (ACM2)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ moisture (UW)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "ax5.text(s='(e) $\\Delta$ moisture (MYNN)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax5.get_position()\n", + "cbar_ax = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.045, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot1, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "fig.savefig('figures/qvapor_diffs_PBL_schemes.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:26.552419Z", + "start_time": "2018-08-17T19:32:20.979579Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,10))\n", + "levels = numpy.arange(-1,1.1,0.1)\n", + "\n", + "\n", + "ax1 = fig.add_subplot(511)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(ysu_xx_geopot-4, ysu_gg/9.81/1000., \\\n", + " ysu_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "\n", + "ax2 = fig.add_subplot(512)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(temf_xx_geopot-4, temf_gg/9.81/1000., \\\n", + " temf_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('km', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax3 = fig.add_subplot(513)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax3.contourf(acm2_xx_geopot-4, acm2_gg/9.81/1000., \\\n", + " acm2_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax4 = fig.add_subplot(514)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax4.contourf(uw_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " uw_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax4.set_ylim(0,3.25)\n", + "ax4.set_xlim(6,18)\n", + "ax4.set_ylabel('km', fontsize=fontsize)\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax5 = fig.add_subplot(515)\n", + "ax5.tick_params(labelsize=fontsize)\n", + "contour_plot5 = ax5.contourf(mynn30_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " mynn30_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax5.set_ylim(0,3.25)\n", + "ax5.set_xlim(6,18)\n", + "ax5.set_ylabel('km', fontsize=fontsize)\n", + "ax5.set_xticks([i for i in range(6,19,2)])\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax1.text(s='(a) $\\Delta$ temperature (YSU)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ temperature (TEMF)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ temperature (ACM2)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ temperature (UW)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "ax5.text(s='(e) $\\Delta$ temperature (MYNN)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax5.get_position()\n", + "cbar_ax = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.045, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot1, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('$\\degree$C', fontsize=fontsize)\n", + "\n", + "fig.savefig('figures/tk_diffs_PBL_schemes.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:38:28.150474Z", + "start_time": "2018-08-17T19:38:20.800412Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,10))\n", + "levels = numpy.arange(-1,1.1,0.1)\n", + "\n", + "\n", + "ax1 = fig.add_subplot(6,2,1)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(ysu_xx_geopot-4, ysu_gg/9.81/1000., \\\n", + " ysu_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "\n", + "ax2 = fig.add_subplot(6,2,3)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(temf_xx_geopot-4, temf_gg/9.81/1000., \\\n", + " temf_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax3 = fig.add_subplot(6,2,5)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax3.contourf(acm2_xx_geopot-4, acm2_gg/9.81/1000., \\\n", + " acm2_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax4 = fig.add_subplot(6,2,7)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax4.contourf(uw_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " uw_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax4.set_ylim(0,3.25)\n", + "ax4.set_xlim(6,18)\n", + "\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax5 = fig.add_subplot(6,2,9)\n", + "ax5.tick_params(labelsize=fontsize)\n", + "contour_plot5 = ax5.contourf(mynn30_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " mynn30_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax5.set_ylim(0,3.25)\n", + "ax5.set_xlim(6,18)\n", + "\n", + "ax5.set_xticks([i for i in range(6,19,2)])\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax6 = fig.add_subplot(6,2,11)\n", + "ax6.tick_params(labelsize=fontsize)\n", + "contour_plot6 = ax6.contourf(myj_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " myj_tk_diffs_latlon_mean.T, \\\n", + " cmap='PuOr_r', extend='both', levels=levels)\n", + "ax6.set_ylim(0,3.25)\n", + "ax6.set_xlim(6,18)\n", + "ax6.set_xticks([i for i in range(6,19,2)])\n", + "ax6.plot(uw_xx_geopot[0,:]-4, myj_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax6.plot(uw_xx_geopot[0,:]-4, myj_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax1.text(s='(a) $\\Delta$ temperature (YSU)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ temperature (TEMF)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ temperature (ACM2)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ temperature (UW)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "ax5.text(s='(e) $\\Delta$ temperature (MYNN3)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "ax5.text(s='(f) $\\Delta$ temperature (MYJ)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "ax2.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax4.set_ylabel('km', fontsize=fontsize)\n", + "ax5.set_ylabel('km', fontsize=fontsize)\n", + "#fig.tight_layout(h_pad=2)\n", + "\n", + "#=================================================================\n", + "\n", + "levels = numpy.arange(-0.5,0.51,0.05)\n", + "\n", + "ax12 = fig.add_subplot(6,2,2)\n", + "ax12.tick_params(labelsize=fontsize)\n", + "contour_plot12 = ax12.contourf(ysu_xx_geopot-4, ysu_gg/9.81/1000., \\\n", + " ysu_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "\n", + "ax12.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax12.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "ax12.set_ylim(0,3.25)\n", + "ax12.set_xlim(6,18)\n", + "ax12.set_xticks([i for i in range(6,19,2)])\n", + "\n", + "\n", + "ax22 = fig.add_subplot(6,2,4)\n", + "ax22.tick_params(labelsize=fontsize)\n", + "contour_plot22 = ax22.contourf(temf_xx_geopot-4, temf_gg/9.81/1000., \\\n", + " temf_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax22.set_ylim(0,3.25)\n", + "ax22.set_xlim(6,18)\n", + "\n", + "ax22.set_xticks([i for i in range(6,19,2)])\n", + "ax22.plot(temf_xx_geopot[0,:]-4, temf_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax22.plot(temf_xx_geopot[0,:]-4, temf_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax32 = fig.add_subplot(6,2,6)\n", + "ax32.tick_params(labelsize=fontsize)\n", + "contour_plot32 = ax32.contourf(acm2_xx_geopot-4, acm2_gg/9.81/1000., \\\n", + " acm2_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax32.set_ylim(0,3.25)\n", + "ax32.set_xlim(6,18)\n", + "\n", + "ax32.set_xticks([i for i in range(6,19,2)])\n", + "ax32.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax32.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax42 = fig.add_subplot(6,2,8)\n", + "ax42.tick_params(labelsize=fontsize)\n", + "contour_plot42 = ax42.contourf(uw_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " uw_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax42.set_ylim(0,3.25)\n", + "ax42.set_xlim(6,18)\n", + "\n", + "ax42.set_xticks([i for i in range(6,19,2)])\n", + "ax42.plot(uw_xx_geopot[0,:]-4, uw_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax42.plot(uw_xx_geopot[0,:]-4, uw_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax52 = fig.add_subplot(6,2,10)\n", + "ax52.tick_params(labelsize=fontsize)\n", + "contour_plot52 = ax52.contourf(mynn30_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " mynn30_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax52.set_ylim(0,3.25)\n", + "ax52.set_xlim(6,18)\n", + "ax52.set_xticks([i for i in range(6,19,2)])\n", + "ax52.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax52.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax62 = fig.add_subplot(6,2,12)\n", + "ax62.tick_params(labelsize=fontsize)\n", + "contour_plot62 = ax62.contourf(myj_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " myj_qvapor_diffs_latlon_mean.T*1000., \\\n", + " cmap=cmocean.cm.balance_r, extend='both', levels=levels)\n", + "ax62.set_ylim(0,3.25)\n", + "ax62.set_xlim(6,18)\n", + "ax62.set_xticks([i for i in range(6,19,2)])\n", + "ax62.plot(uw_xx_geopot[0,:]-4, myj_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax62.plot(uw_xx_geopot[0,:]-4, myj_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax6.set_xlabel('hour', fontsize=fontsize)\n", + "ax62.set_xlabel('hour', fontsize=fontsize)\n", + "\n", + "ax12.text(s='(g) $\\Delta$ moisture (YSU)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax12.transAxes)\n", + "ax22.text(s='(h) $\\Delta$ moisture (TEMF)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax22.transAxes)\n", + "ax32.text(s='(i) $\\Delta$ moisture (ACM2)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax32.transAxes)\n", + "ax42.text(s='(j) $\\Delta$ moisture (UW)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax42.transAxes)\n", + "ax52.text(s='(k) $\\Delta$ moisture (MYNN3)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax52.transAxes)\n", + "ax52.text(s='(l) $\\Delta$ moisture (MYJ)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax62.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2, w_pad=8)\n", + "\n", + "ax1pos = ax12.get_position()\n", + "ax2pos = ax62.get_position()\n", + "cbar_ax = fig.add_axes([ax2pos.x1+0.025, ax2pos.y0, 0.025, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot52, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax6.get_position()\n", + "cbar_ax = fig.add_axes([ax2pos.x1+0.025, ax2pos.y0, 0.025, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot1, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('$\\degree$C', fontsize=fontsize)\n", + "\n", + "fig.savefig('figures/tk_AND_qvapor_diffs_PBL_schemes.png', dpi=400, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T19:32:38.948341Z", + "start_time": "2018-08-17T19:32:33.709303Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.25,10))\n", + "levels = numpy.arange(-1,1.1,0.1)\n", + "\n", + "\n", + "ax1 = fig.add_subplot(511)\n", + "ax1.tick_params(labelsize=fontsize)\n", + "contour_plot1 = ax1.contourf(ysu_xx_geopot-4, ysu_gg/9.81/1000., \\\n", + " ysu_cldfra_diffs_latlon_mean.T*100., \\\n", + " cmap=cmocean.cm.balance, extend='both', levels=levels)\n", + "\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax1.plot(ysu_xx_geopot[0,:]-4, ysu_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "ax1.set_ylim(0,3.25)\n", + "ax1.set_xlim(6,18)\n", + "ax1.set_xticks([i for i in range(6,19,2)])\n", + "ax1.set_ylabel('km', fontsize=fontsize)\n", + "\n", + "ax2 = fig.add_subplot(512)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax2.contourf(temf_xx_geopot-4, temf_gg/9.81/1000., \\\n", + " temf_cldfra_diffs_latlon_mean.T*100., \\\n", + " cmap=cmocean.cm.balance, extend='both', levels=levels)\n", + "ax2.set_ylim(0,3.25)\n", + "ax2.set_xlim(6,18)\n", + "ax2.set_ylabel('km', fontsize=fontsize)\n", + "ax2.set_xticks([i for i in range(6,19,2)])\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax2.plot(temf_xx_geopot[0,:]-4, temf_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax3 = fig.add_subplot(513)\n", + "ax3.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax3.contourf(acm2_xx_geopot-4, acm2_gg/9.81/1000., \\\n", + " acm2_cldfra_diffs_latlon_mean.T*100., \\\n", + " cmap=cmocean.cm.balance, extend='both', levels=levels)\n", + "ax3.set_ylim(0,3.25)\n", + "ax3.set_xlim(6,18)\n", + "ax3.set_ylabel('km', fontsize=fontsize)\n", + "ax3.set_xticks([i for i in range(6,19,2)])\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax3.plot(acm2_xx_geopot[0,:]-4, acm2_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "\n", + "ax4 = fig.add_subplot(514)\n", + "ax4.tick_params(labelsize=fontsize)\n", + "contour_plot2 = ax4.contourf(uw_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " uw_cldfra_diffs_latlon_mean.T*100., \\\n", + " cmap=cmocean.cm.balance, extend='both', levels=levels)\n", + "ax4.set_ylim(0,3.25)\n", + "ax4.set_xlim(6,18)\n", + "ax4.set_ylabel('km', fontsize=fontsize)\n", + "ax4.set_xticks([i for i in range(6,19,2)])\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax4.plot(uw_xx_geopot[0,:]-4, uw_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax5 = fig.add_subplot(515)\n", + "ax5.tick_params(labelsize=fontsize)\n", + "contour_plot5 = ax5.contourf(mynn30_xx_geopot-4, uw_gg/9.81/1000., \\\n", + " mynn30_cldfra_diffs_latlon_mean.T*100., \\\n", + " cmap=cmocean.cm.balance, extend='both', levels=levels)\n", + "ax5.set_ylim(0,3.25)\n", + "ax5.set_xlim(6,18)\n", + "ax5.set_ylabel('km', fontsize=fontsize)\n", + "ax5.set_xticks([i for i in range(6,19,2)])\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_400_latlon_mean/1000., c='0.5')\n", + "ax5.plot(uw_xx_geopot[0,:]-4, mynn30_pblh_1000_latlon_mean/1000., c='0.5', ls='--')\n", + "\n", + "ax1.text(s='(a) $\\Delta$ cloud fraction (YSU)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(b) $\\Delta$ cloud fraction (TEMF)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(c) $\\Delta$ cloud fraction (ACM2)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax4.text(s='(d) $\\Delta$ cloud fraction (UW)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "ax5.text(s='(e) $\\Delta$ cloud fraction (MYNN)', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "\n", + "fig.tight_layout(h_pad=2)\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax2pos = ax5.get_position()\n", + "cbar_ax = fig.add_axes([ax2pos.x1+0.05, ax2pos.y0, 0.045, ax1pos.y1-ax2pos.y0])\n", + "cbar = fig.colorbar(contour_plot1, cax=cbar_ax)\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('%', fontsize=fontsize)\n", + "\n", + "fig.savefig('figures/cldfra_diffs_PBL_schemes.png', dpi=600, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/gp1_calculations_for_different_PBL_schemes_10day_precip_panel_plot.ipynb b/gp1_calculations_for_different_PBL_schemes_10day_precip_panel_plot.ipynb new file mode 100644 index 0000000..60f054a --- /dev/null +++ b/gp1_calculations_for_different_PBL_schemes_10day_precip_panel_plot.ipynb @@ -0,0 +1,1048 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import libraries" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:16:11.347621Z", + "start_time": "2018-08-18T01:16:11.327131Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import matplotlib.colors\n", + "import scipy.stats\n", + "import itertools\n", + "import string\n", + "import matplotlib.patches\n", + "import glob\n", + "import matplotlib.gridspec\n", + "import scipy.ndimage\n", + "\n", + "import wrf\n", + "import netCDF4\n", + "import cmocean\n", + "\n", + "import pandas\n", + "\n", + "import matplotlib.ticker\n", + "import cartopy.mpl.gridliner #import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n", + "\n", + "import mpl_toolkits\n", + "import cartopy\n", + "import cartopy.io.shapereader\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:16:11.685947Z", + "start_time": "2018-08-18T01:16:11.679363Z" + } + }, + "outputs": [], + "source": [ + "run_info = 'FMAASO'\n", + "skip_time=0" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# opening mean fields" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## control data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "YSU, ACM2, MYJ, and UW" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:20:05.138935Z", + "start_time": "2018-08-18T01:19:08.698088Z" + } + }, + "outputs": [], + "source": [ + "ysu_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400/001'\n", + "ysu_file_list = sorted(glob.glob(ysu_root_dir+'/'+'wrfout*'))\n", + "ysu_ds_list = [netCDF4.Dataset(file) for file in ysu_file_list]\n", + "\n", + "# ysu_ptot_400 = numpy.load('DATA_ptot_400_sensitivity.npy')\n", + "# ysu_geopot_400 = numpy.load('DATA_geopot_400_sensitivity.npy')\n", + "# ysu_tk_400 = numpy.load('DATA_tk_400_sensitivity.npy')\n", + "\n", + "ysu_cont_mfds = xarray.open_mfdataset(ysu_root_dir + '/' + 'wrfout*')\n", + "\n", + "ysu_time = ysu_cont_mfds['Times'].values\n", + "ysu_xlat = ysu_cont_mfds['XLAT'].values[0,:,:]\n", + "ysu_xlong = ysu_cont_mfds['XLONG'].values[0,:,:]\n", + "ysu_landmask = ysu_cont_mfds['LANDMASK'].values[0,:,:]\n", + "\n", + "# ysu_qvapor_400 = ysu_cont_mfds['QVAPOR'].values\n", + "# ysu_t_400 = ysu_cont_mfds['T'].values\n", + "# ysu_pblh_400 = ysu_cont_mfds['PBLH'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:20:38.089233Z", + "start_time": "2018-08-18T01:20:05.149305Z" + } + }, + "outputs": [], + "source": [ + "ysu_rainc_400 = ysu_cont_mfds['RAINC'].values\n", + "ysu_rainnc_400 = ysu_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:17:18.249169Z", + "start_time": "2018-08-18T01:17:17.021455Z" + } + }, + "outputs": [], + "source": [ + "acm2_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_ACM2_scheme_10days'\n", + "acm2_file_list = sorted(glob.glob(acm2_root_dir+'/'+'wrfout*'))\n", + "acm2_ds_list = [netCDF4.Dataset(file) for file in acm2_file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:17:48.032949Z", + "start_time": "2018-08-18T01:17:38.754022Z" + } + }, + "outputs": [], + "source": [ + "acm2_cont_mfds = xarray.open_mfdataset(acm2_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:18:22.852859Z", + "start_time": "2018-08-18T01:17:48.043210Z" + } + }, + "outputs": [], + "source": [ + "acm2_rainc_400 = acm2_cont_mfds['RAINC'].values\n", + "acm2_rainnc_400 = acm2_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:20:38.266701Z", + "start_time": "2018-08-18T01:20:38.099382Z" + } + }, + "outputs": [], + "source": [ + "myj_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYJ_scheme_10days'\n", + "myj_file_list = sorted(glob.glob(myj_root_dir+'/'+'wrfout*'))\n", + "myj_ds_list = [netCDF4.Dataset(file) for file in myj_file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:20:47.556003Z", + "start_time": "2018-08-18T01:20:38.277004Z" + } + }, + "outputs": [], + "source": [ + "myj_cont_mfds = xarray.open_mfdataset(myj_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:21:37.886543Z", + "start_time": "2018-08-18T01:20:47.566364Z" + } + }, + "outputs": [], + "source": [ + "myj_rainc_400 = myj_cont_mfds['RAINC'].values\n", + "myj_rainnc_400 = myj_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:21:38.796270Z", + "start_time": "2018-08-18T01:21:37.896514Z" + } + }, + "outputs": [], + "source": [ + "uw_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_UW_scheme_10days'\n", + "uw_file_list = sorted(glob.glob(uw_root_dir+'/'+'wrfout*'))\n", + "uw_ds_list = [netCDF4.Dataset(file) for file in uw_file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:21:47.742959Z", + "start_time": "2018-08-18T01:21:38.806328Z" + } + }, + "outputs": [], + "source": [ + "uw_cont_mfds = xarray.open_mfdataset(uw_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:22:17.556486Z", + "start_time": "2018-08-18T01:21:47.753212Z" + } + }, + "outputs": [], + "source": [ + "uw_rainc_400 = uw_cont_mfds['RAINC'].values\n", + "uw_rainnc_400 = uw_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:22:29.529804Z", + "start_time": "2018-08-18T01:22:28.291352Z" + } + }, + "outputs": [], + "source": [ + "mynn30_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYNN30_scheme_10days'\n", + "mynn30_file_list = sorted(glob.glob(mynn30_root_dir+'/'+'wrfout*'))\n", + "mynn30_ds_list = [netCDF4.Dataset(file) for file in mynn30_file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:22:39.319068Z", + "start_time": "2018-08-18T01:22:29.540100Z" + } + }, + "outputs": [], + "source": [ + "mynn30_cont_mfds = xarray.open_mfdataset(mynn30_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:23:14.596231Z", + "start_time": "2018-08-18T01:22:39.329277Z" + } + }, + "outputs": [], + "source": [ + "mynn30_rainc_400 = mynn30_cont_mfds['RAINC'].values\n", + "mynn30_rainnc_400 = mynn30_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:23:15.342342Z", + "start_time": "2018-08-18T01:23:14.606064Z" + } + }, + "outputs": [], + "source": [ + "temf_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_TEMF_scheme_10days'\n", + "temf_file_list = sorted(glob.glob(temf_root_dir+'/'+'wrfout*'))\n", + "temf_ds_list = [netCDF4.Dataset(file) for file in temf_file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:23:24.206935Z", + "start_time": "2018-08-18T01:23:15.352416Z" + } + }, + "outputs": [], + "source": [ + "temf_cont_mfds = xarray.open_mfdataset(temf_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:23:53.908551Z", + "start_time": "2018-08-18T01:23:24.217316Z" + } + }, + "outputs": [], + "source": [ + "temf_rainc_400 = temf_cont_mfds['RAINC'].values\n", + "temf_rainnc_400 = temf_cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## phys data" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:24:55.891131Z", + "start_time": "2018-08-18T01:24:46.072448Z" + } + }, + "outputs": [], + "source": [ + "ysu_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000/001/'\n", + "ysu_file_list = sorted(glob.glob(ysu_root_dir+'/'+'wrfout*'))\n", + "ysu_ds_list = [netCDF4.Dataset(file) for file in ysu_file_list]\n", + "ysu_phys_mfds = xarray.open_mfdataset(ysu_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:25:27.091304Z", + "start_time": "2018-08-18T01:24:55.901450Z" + } + }, + "outputs": [], + "source": [ + "ysu_rainc_1000 = ysu_phys_mfds['RAINC'].values\n", + "ysu_rainnc_1000 = ysu_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:25:28.054147Z", + "start_time": "2018-08-18T01:25:27.101186Z" + } + }, + "outputs": [], + "source": [ + "acm2_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_ACM2_scheme_10days'\n", + "acm2_file_list = sorted(glob.glob(acm2_root_dir+'/'+'wrfout*'))\n", + "acm2_ds_list = [netCDF4.Dataset(file) for file in acm2_file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:25:38.212295Z", + "start_time": "2018-08-18T01:25:28.064535Z" + } + }, + "outputs": [], + "source": [ + "acm2_phys_mfds = xarray.open_mfdataset(acm2_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:26:12.714710Z", + "start_time": "2018-08-18T01:25:38.222486Z" + } + }, + "outputs": [], + "source": [ + "acm2_rainc_1000 = acm2_phys_mfds['RAINC'].values\n", + "acm2_rainnc_1000 = acm2_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:26:13.695580Z", + "start_time": "2018-08-18T01:26:12.724722Z" + } + }, + "outputs": [], + "source": [ + "myj_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_MYJ_scheme_10days'\n", + "myj_file_list = sorted(glob.glob(myj_root_dir+'/'+'wrfout*'))\n", + "myj_ds_list = [netCDF4.Dataset(file) for file in myj_file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:26:22.350601Z", + "start_time": "2018-08-18T01:26:13.705741Z" + } + }, + "outputs": [], + "source": [ + "myj_phys_mfds = xarray.open_mfdataset(myj_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:26:53.640609Z", + "start_time": "2018-08-18T01:26:22.360914Z" + } + }, + "outputs": [], + "source": [ + "myj_rainc_1000 = myj_phys_mfds['RAINC'].values\n", + "myj_rainnc_1000 = myj_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:26:54.495621Z", + "start_time": "2018-08-18T01:26:53.650694Z" + } + }, + "outputs": [], + "source": [ + "uw_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_UW_scheme_10days'\n", + "uw_file_list = sorted(glob.glob(uw_root_dir+'/'+'wrfout*'))\n", + "uw_ds_list = [netCDF4.Dataset(file) for file in uw_file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:27:03.796206Z", + "start_time": "2018-08-18T01:26:54.505797Z" + } + }, + "outputs": [], + "source": [ + "uw_phys_mfds = xarray.open_mfdataset(uw_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:27:32.422214Z", + "start_time": "2018-08-18T01:27:03.806159Z" + } + }, + "outputs": [], + "source": [ + "uw_rainc_1000 = uw_phys_mfds['RAINC'].values\n", + "uw_rainnc_1000 = uw_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:27:33.322172Z", + "start_time": "2018-08-18T01:27:32.431981Z" + } + }, + "outputs": [], + "source": [ + "mynn30_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_MYNN30_scheme_10days'\n", + "mynn30_file_list = sorted(glob.glob(mynn30_root_dir+'/'+'wrfout*'))\n", + "mynn30_ds_list = [netCDF4.Dataset(file) for file in mynn30_file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:27:43.568665Z", + "start_time": "2018-08-18T01:27:33.332325Z" + } + }, + "outputs": [], + "source": [ + "mynn30_phys_mfds = xarray.open_mfdataset(mynn30_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:28:18.911637Z", + "start_time": "2018-08-18T01:27:43.579039Z" + } + }, + "outputs": [], + "source": [ + "mynn30_rainc_1000 = mynn30_phys_mfds['RAINC'].values\n", + "mynn30_rainnc_1000 = mynn30_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:28:19.727554Z", + "start_time": "2018-08-18T01:28:18.921758Z" + } + }, + "outputs": [], + "source": [ + "temf_root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_TEMF_scheme_10days'\n", + "temf_file_list = sorted(glob.glob(temf_root_dir+'/'+'wrfout*'))\n", + "temf_ds_list = [netCDF4.Dataset(file) for file in temf_file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:28:29.540273Z", + "start_time": "2018-08-18T01:28:19.737604Z" + } + }, + "outputs": [], + "source": [ + "temf_phys_mfds = xarray.open_mfdataset(temf_root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:29:01.059834Z", + "start_time": "2018-08-18T01:28:29.550387Z" + } + }, + "outputs": [], + "source": [ + "temf_rainc_1000 = temf_phys_mfds['RAINC'].values\n", + "temf_rainnc_1000 = temf_phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## define dx, dy" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:29:01.076693Z", + "start_time": "2018-08-18T01:29:01.070045Z" + } + }, + "outputs": [], + "source": [ + "dx = 50000. # 50,000 m or 50 km\n", + "dy = 50000." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# constants" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:29:01.120407Z", + "start_time": "2018-08-18T01:29:01.086851Z" + } + }, + "outputs": [], + "source": [ + "L_v = 2264705.0 # J/kg\n", + "c_p = 1005.7 # J/kgK\n", + "g = 9.80665 # m/s2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "get lat and lon info" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:46:21.420727Z", + "start_time": "2018-08-18T01:46:20.412801Z" + } + }, + "outputs": [], + "source": [ + "xlong = ysu_cont_mfds['XLONG'].values[0,:,:]\n", + "xlat = ysu_cont_mfds['XLAT'].values[0,:,:]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "calculate precip diffs" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:35:18.335450Z", + "start_time": "2018-08-18T01:35:17.578318Z" + } + }, + "outputs": [], + "source": [ + "acm2_400_raintot = acm2_rainc_400+acm2_rainnc_400\n", + "temf_400_raintot = temf_rainc_400+temf_rainnc_400\n", + "myj_400_raintot = myj_rainc_400+myj_rainnc_400\n", + "uw_400_raintot = uw_rainc_400+uw_rainnc_400\n", + "mynn30_400_raintot = mynn30_rainc_400+mynn30_rainnc_400\n", + "ysu_400_raintot = ysu_rainc_400+ysu_rainnc_400" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:35:19.107045Z", + "start_time": "2018-08-18T01:35:18.345677Z" + } + }, + "outputs": [], + "source": [ + "acm2_1000_raintot = acm2_rainc_1000+acm2_rainnc_1000\n", + "temf_1000_raintot = temf_rainc_1000+temf_rainnc_1000\n", + "myj_1000_raintot = myj_rainc_1000+myj_rainnc_1000\n", + "uw_1000_raintot = uw_rainc_1000+uw_rainnc_1000\n", + "mynn30_1000_raintot = mynn30_rainc_1000+mynn30_rainnc_1000\n", + "ysu_1000_raintot = ysu_rainc_1000+ysu_rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:37:48.969372Z", + "start_time": "2018-08-18T01:37:48.743070Z" + } + }, + "outputs": [], + "source": [ + "ysu_rain_diffs = ysu_1000_raintot-ysu_400_raintot\n", + "ysu_rain_diffs_hourly = numpy.diff(ysu_rain_diffs, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:38:28.186105Z", + "start_time": "2018-08-18T01:38:27.960119Z" + } + }, + "outputs": [], + "source": [ + "acm2_rain_diffs = acm2_1000_raintot-acm2_400_raintot\n", + "acm2_rain_diffs_hourly = numpy.diff(acm2_rain_diffs, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:38:28.186105Z", + "start_time": "2018-08-18T01:38:27.960119Z" + } + }, + "outputs": [], + "source": [ + "uw_rain_diffs = uw_1000_raintot-uw_400_raintot\n", + "uw_rain_diffs_hourly = numpy.diff(uw_rain_diffs, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:38:28.186105Z", + "start_time": "2018-08-18T01:38:27.960119Z" + } + }, + "outputs": [], + "source": [ + "temf_rain_diffs = temf_1000_raintot-temf_400_raintot\n", + "temf_rain_diffs_hourly = numpy.diff(temf_rain_diffs, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:38:28.186105Z", + "start_time": "2018-08-18T01:38:27.960119Z" + } + }, + "outputs": [], + "source": [ + "mynn30_rain_diffs = mynn30_1000_raintot-mynn30_400_raintot\n", + "mynn30_rain_diffs_hourly = numpy.diff(mynn30_rain_diffs, axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:38:28.186105Z", + "start_time": "2018-08-18T01:38:27.960119Z" + } + }, + "outputs": [], + "source": [ + "myj_rain_diffs = myj_1000_raintot-myj_400_raintot\n", + "myj_rain_diffs_hourly = numpy.diff(myj_rain_diffs, axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## get landmask" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:53:39.543057Z", + "start_time": "2018-08-18T01:53:39.499057Z" + } + }, + "outputs": [], + "source": [ + "landmask = ysu_cont_mfds['LANDMASK'].sel(Time=0).values" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T01:53:40.650559Z", + "start_time": "2018-08-18T01:53:40.284621Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 101, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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FVbt/wXTiJP/5z1JGjhypf+dDQkI4dOgQ77//Pm+//TZbtmzB2dmZJ554gm7dut3JR5JIbjZt7LlYNVRXqxkhhK+iKBdv89oqHVWmN6uiKGzdupW+ffsyf/58nn32WQAOJh3Rx536cScjpswgKSnpjik8OTk5HDx4kNzcXIYOHcqxY8coLHLG0bMatWrVxCviLbI27wfA6dG6HP1mEmvXrqVdu3Zs27aNxdMnsfNQCsFNm7J6wUfs3Pcjuxd/hPO99/HPfQdp3+0pPvvsM9lzVlImVbX/4rWgyQWAJUuWMHbsWP75z3/y2GOPAbBtQHsajZrL4uM5BFw4wr///W9WrVp1x9Z78eJFkpKSyMrKondvtVbm1dwiFMWMs7MXnl6NMZmc2bg5hlULP2Xxt6v4/vvvCQoKIi4ujug3RpKfl0Hvvn3ZWjgQsXcmV6/8iW/2Sc4U5jJtzmzeffddudmTlElVkQ0envUUF9eauLiWHhaXnXkC4eDI5fQ/Kv3z3GqqlDIH0KVLF44dO4bf4BgWRgVa9WR1v3SG9k8+zed//5qoqKjbvs7k5GSioqJwcnLCy8uL4OBg1qQ+hdtvsVR/ojW9w5ux7P+Kf0z8BvQgYP9idv2wnZycHB68P5gOXSPp9ERnavr54ZenZuQuPp7DoAbunPzPWrqN+pBHwx8nPj7+lil0eXl5/PTTT+zZswdfX19eeOEF+QNRxagqAvtGMMqFwsJCatSowbPPPsuOn9w5+stntJm1mUXVdgIQNuXfiKJktm7dSpMmTW77Wnfs2EGfPn0IDAzEzc2NY9t3k+PfErM5FxQFJ2dPfayHd2MGTOrF3HffwkfJIiMjg7wCF1zd/HFxrYmDQ0mHSt20H/k9P4tBw97kk08+uWXPkZmZyd69e/npp59o1qyZtAZWQaqCbLAUCjb7+j9WqmUOoLDwKlcuJZGXe7FSP8/t4KYpc0KIH4CRiqLssbzvCswHAoB44FVFUTKF+l9mGdAVmK4oyocVmFsX2uPGjWP69Okc3bOdrBr36AoPQPqOeLb/doTPd/7Kzz//fFsVkL179/L000/z9qsvU/BYN4QQRIUEsD7pDKAGYXeZeBKH3dPx8G6M34AerInw4uv/7OC9v43gxYGvEvTUC3pG3poItdRKl4kn8UxaTWZIbw6M8yQ+YgBvnU9m/qIvaNCgASaTiZycHM6ePcu5c+c4e/YsHTp00C2XRnbt2sXixYvJzMwkKyuLzMxMsrOzKSgowGw2YzabKSoqwsfHh5SUFHr37s0XX3xBRkYG1apVu22fpeTGqUwC+1bJBltlrl27dpw7d478okb6mOh5E+h5OpHOM3eQdSWFqKdas2zZslvxmKWyYsUK3nnnHeZOGkdYuzak74gneuQ8qzFHfR8ucV3m5aNkZ56ghncT3Dxql3mP8CvJJOdnsDc3g02bN2MymXBwcODy5cu6XEhLS6N///60bdu2xPXfffcd8fHxulzIysoiJyeHwsJCXTYIIUhJSeGRRx6hcePG/PDDDxw7duzGPhzJbacyyYbSEEKEurkH/FDD5/5yx15M/ZGC/Mt+iqLc1ckQN5wAIYToKoRYCIQajnkDK4CRQF3Uwn5TLKc7A38A9YAwIcQ1aQktWrSgU6dOnPp0LK+vT2Hx8RzSd8ST5uLF2jphRA15GyEEy5cvv9FHuyY+++wzxo4dy8t9e/PM/XWICgnAlBBLz9OJ9DydaDVWa0cGcOm42pak8JL1/4dpLl706vMRnkmryb50GM+k1fTamEHLxHiGdH+cd4e8zpQpU5g4cSIff/wx27dvJzMzk8DAQMaMGcNbb71lFTuYk5PDnDlzyM7O5tlnn+Wtt95ixowZfPnll7Rq1Yrjx4/z4IMPMnPmTAoKCli9ejXz5s1DURTc3d1v4Scn+atyO2WDo6Mj3bp1o2dPm2LBw6YwOKsd0fMm4F6tLhs3buTAgQM39FzXyuzZs/n22295oFM30ly8MIcPIGbOMKb2aKJ3q7jvovWaitqMBYsFrkgpLPcee+p3w1E44G9yoXfXbkyePJkJEybwxRdf8N///pfCwkLq1q3LM888o3+vNVJTU5k2bRr+/v7069ePd999lzlz5rB06VK8vb05d+4cHTp04OOPP8bBwYENGzYwfPhwucGT3DLcq9X9wdXdfharLa5uflT3Ckkrf+Rfm5uRABFqmSfLcOxp4CdFUb4HEELMRN2Bv4MqvE2WawRwTabB9PR0/P398W0bzJl5X7Mg+wzzW4/FNDMagKjNMcwcPYIX3x5OzZo16dq1640+X4XYs2cPj1/4H0f2rabRqLkAHNmVoNfCaxE+oMQ1v/z+B0tWrubjjz/m05lTGTru/9hwSP1/ssvEkzhcKtl/bn3SGQbOXshDP3YnKKAQ37bh+rl901YA8Ek7fz4/fpyAgACaNm1K48aN2bhxI00eaMawd0fha6m1pbqoPeke2or4+Hg+/fRT5s2bx88//8yPP/5IXFwcHh4eODhUmaRnSeXitsuG2rVVC1ZB/hWKzPm4uNUkZf4sYoA3F7zPbzu3EhkZSUJCAvffX/6u/0bJzs7m8OHDVPO1/mEanNWOlO07oHoQm8eEEj1yHpvHhOrlVH7Z/h8O+gmefeM9du3ZS9JhpUxPQ7ZFVjRy9gCgcO8vAFwGenrVJCjMn/Hrfqd+kZklS5Ywa9YsmjZtSt26dfl6yVKeC2vJrvlfsmfBEqt5zxbmEti0MfPnz6djx44UFhYSGxvLnj17qF7dfts0ieRGEEKY1F6sjcofjJrVevlS0i1eVeXnZrpZU4DnFEXZI4T4EChSFGWk5ZwLkAt4AjmoO/MngMmKotgN8BBCDAGGWN620NZ57tw5HnnkEZo0acLe/6aQdSUZD88GeNZoCKjFhddEeLH592OMfHsYCxcuLLFbv9mkp6dT/957+X37f7hsqTx/cVeC3gQcYP5Pe4joHK2/j543ge/Gv8l7771H//79GTRoEJlp5znZ7m1S5s8C0N2xAN2CnRnUwJ0js0ewKO4UJwquUN+pOp08iosjG+vu+bTpREFwK44cP87R4ync+1BLHmzeXD9vjDUE+Pazj/kg5gtcXF0pMptp2LAhPXr0oE2bNjz55JM3+ROT3GoqkyvlZsqG0uQCwL59++jatStX85xxECau5pzFy6cZxh2+h3djMi8dwmT+g7i4OB555JFb8swa27Zto/uL0Yz8JEZvQajx+voUugU70/N0ot6OEOBYvonunTuxdetWQkJC8A95FDLy8fC8t8x7fdshz0rmvGJR4rY9O5UFy80kdNxO9EjVKpenFJGjmLmqFOHj4ISbgwlAtxSeKFCLEiuKglstRxJOpuPh7gZAs2bNeOqpp+jUqROtWrW68Q9JclupTLLBHkKIDm4eAdtqeFd8s2VxtforinLXWuhulcmlOuqmEABFUfKAQqC6oihFiqL0VRTFtzRFznLNF4qiPKooyqPG4/fccw9Hjhzh6aefJifrOC1btsTT4yrjx/SgqMhMyvxZtOj+HmNGLaLn6GkMHTq0Qi5Xs9nMmDFj6NChA0899RSff/65molaWL6LIzk5mfp165Du7qvvrBfFnQJgao8mdF6+ltfXp5S4rtC9BpcvX0YIwQMPPMA/f1VImT9LdbGgJkh0C3ZmTYQXHVeNZ2O353VhPbVHE8ZMf4mW4/oBqiKn1d5rNGouvu27c4+/HyEdutD9pSElFDlbhr36Msf2/sDO9av4fukXPPzww8TGxuLi4lLu80sk18ANyYbS5AJAy5YtOXr0KIMGPkvu1XO0bNmSOrWL+GjOIBSlCFAtWJ7ewXR88Q2eeeYZfvjhh3IXnJmZyfPPP094eDhPPvkk8fHx/PnnnxUq2nv06FGCGqpKmBY/q7EwKpCokAArRQ7Azc0NX19fsrKycHV1pVfYY1CB+F+jlV4jOTGVqJAAGrYwc3FXAqD+mLs6mPAxOVPH0VVX5Owx0NuP8e2CmbDy37z28VI2btyIs7Mz69evl25WyS3B3aPuttIKBZeGq5s/1b1C7ur+XrfKMjcHyFcUZZzlnDOQB7grinLNhZ6Mgc5GEhMTadeuHVu3buXzzz9n586d5Ob7WgULFxTk4O58ikmTJvHqq6+WmCM7O5v4+HgWLlxI9tWrvDrkdVZ8NINfjp/ExckJ4ebBwIEDGT9+fAnFJicnh1dffZV//vOfRD4cwp/dZ3Bsv4kD4zwZ1aEPJwquUDjpW9Ji15F96bBV4kOaixfz129m9YeTST19kieeeIKRI0cyOPpjPLwbs+a74brw73k6kX3TVrA04wKveNWk5bh+mC1uW788tVgqoLt3NYyWNyNGZU4b45eXQfqOeKsflrV7fmb6+2r9qyeeeKL0/0CSSkdl2n3fKtlQmlwwm80kJiby+OOPs2rVKj777DPOnz/PhUueuLh6s3FzDK+vTyE4/zfiP53GmjVr6NChQ4l50tLSWLduHfPmzSP5eDqubv5kXk6myJwHQOPGDRk2bBjR0dElXKBnzpyhf//+7N67j9qdX6Z2u2ILO1DCSqehWcw7tHmavNw0sjLPUbt2bfbv30+rdgPtXlPUZiwNW5hZVG0n+6atYEt2vm5Z06z3mpv1WtBkjYbmbVAUhXPmPNKrufDLL79Qt27da5pXcmepTLLBFouLtbC8LFZbzIW5XL70x12d1XqrlLlXgacVRYmynHsIWKUoSuPrnNuu0Lbl559/pnfv3qSlO+PuUSws8/MuYeIkb7zxBl5eXrz99tvk5+czd+5c5syZQ8uWLWkd2oG2oe35JXEjv61bRs9nnqJBrZocPZvK3389Q1ZWFmvWrKFGjRoAZGRk0L17dxo2bEi/3COc3ZEOqBYyzQ36ildNptcM1+NZAN3qBrBpcj169n2Oc0cPUauWPzn59RHCxP64GaTviNetfD1PJ3JxV4K+8zZ2vTAqc1pHDHsYFTtNcQMwhw8oochpf6e5eLF07kw8awUwZcoUu/NKKieVSWDfKtlQUbmgKAr/+te/GDhwIIVKPZwN34WHI5pyet9WIiIiaNWqFT179iQ9PZ0JEyYQGxtLREQE//7PH5hM7hTkX6KoqBA3jwAcHJwoyL9Mg3vh0UcfZd68eXqpoKNHj9KlSxcatg0n8/5nSDnopmekv9m/2ApmT6Hzy8tg8fEcPhv6PmnndqEUFdKlyxMc/M2+hyB63gR9LlNCbAllzh5GJW3m2K9KHTu1RxNd5tiGjQD8npfJ5yuX6zXzJFWDyiQbbBFCdHTzCNh6LS5WDYurtZaiKHelhe5WuVm/B9oLIdpbstemA7c8vbR58+YMGTKEHk+3tDru6FQds0NDZn39I++Om0GDBg2oUaMGU2d+gaf/k1wOe5dnevXm/0YOZ/uB/+H9RC9emP058/Ye4WCLPvwv+R527z2ET537+fLLL9m4cSOPP/44jzzyCNOHv0m9jmqSxdKMC/i2DWdz1y853H0V40z1rBQ5Dc+k1XgmrQZg+Vd/580Fy8jJb4AQJr7tkMeR2SMwhw8gKiSAqJAA3T1ii6aEaUkWgK6kHZk9giOzR+jvtd61ti5Wey5X47kH7w9hx5b/kJ6eTlZWVqljJZIKcttlgxCCyMhIOnfuzPj3rBORfozbT/LxTD6d/zXPPvscDRo0oE6dOiz9aj0uHg+xbecFnF18uHTxAL16tKVf305cOL+Hq9mncXbx4uTZaiz9ajXt27dn2bJlrF27lo4dO3Lxkgu/bTtOykE3/V6eSav10kNGNAu88bsohAM1a7XGr3a7UhW5wKGjgdKtfKXRclw/Os/cQeeZO2j81d/1OLmysGfVq+bgyDv9XuDChQvk5uZe0xokEnu4e9TZ6upW67quVV2twXdtf69b0s5LUZSLQoiXgK8BP2AVMONW3MuW8+fPk5KSQq+RL7NmjlpPytP3fjJDetO8hZnkfYVkZp3Fq/Abqvncz4uT+/Kkeyb/N2IYeUUKa9euxdHRkbFjx9KhbRtys/wQQO0GT3GhRj3+ERdP1pXL9OvXjyc9crjo5oNfaCRbsr+i8/K1dB42BQd22F2btovecEh1uZgSYqkXGskP5z10N41v23DM4QP04OhBDdyZE3eKTh7OJCeq2apBYar/jX2EAAAgAElEQVRylwFWipwt6rkEK2XQGFdjqyRqip+Rh5s9wDsT3yewQQNMDg6MHj2a4cOHy1g6yXVxp2XDgQMHMBfmYnJ0BcDk6KonTxUVFZB1tYAavg0QwgFFUSjIz+RKxiEG9O/DkiVqpufIkSMJCWmKydEDZxcvvH0fIunweVavXk1mZiY5uT64V1N/kBq2MHNsf+kxaYBFwTujK2VRIV7EgN3iwEa6BTuzuX9PDtsoY2VZ5UDNpMUio2KGTWHj3k0MfaR1iXHj1/0OZbhm+1b35ZP009Txr4XvPbWYNWsWzz//vCwwLrku9CxWr+ty4FmyWq8tlOCvxE2zzCmKEqgVBbW8/6eiKA0URammKMorlkDnW86sWbPo1KkTa2eO5dypBM6dSiDtRCzd3L/G/89N1Au5TONO9WgwbCxrvhvOqZjxhEX1JvjB5mzfvl3vl1izZk2+/Oprjq/7hFRHE5khvbm/+6NMnjGLuQsWsij2BF1m7dTvW54A9fBuzKAG1vXaBme1I31HPAujAq2OmxJirbJXjWzJzmdR3CmSE1P1JAurLFaLq9S3bThBYf4kJ6bqYxfFneLirmLlrtGoufiERuovW9JcvKjlV5OkHYkkbf8P8d8sYefOnTRp0oTVq1dXKABcIqkssmHVqlV4enpSmPc7504lcCltB+a8X+jb6wGuZp8FBI5O7nqszqWiHPIKjjL3w6ksXbpUn6dRo0YsXLiASxd+Ij/vEkII3DzuYe/+LH4/LHB1L7YspMyfpVvhAdJi17FguVlX3OxZxm0TJewROHQ0dd9Qk3pPFFyxepXHmoiSsbQxc4bpf1fEUgdwptCRZ6vX51nPe/FLz+aTTz6hdevW7Ny5s/yLJZKStHdyrnFNsXJGTI6uKIqCEOL6THtVnL9cATFHR0cmTpzIiRMnePHFF1m1ahVJSUk89NBDmM4mY14xki88dvDc3Nfxy8sgOUfhnb+NZNasWXh4eFjNZTab8a9Vi4S/R/Nmf5OudEV0jtbdpxGdo+nwwlI6L19bofVtOJTPsf0m0mLXkRa7jsFZ7ZjTqgubx4SyeYxeW5WepxP17FUtgLnluH56KZIt2fn68fIwxtBoljxNeUtz8dLj6YwKnXZM+zd9RzzVTxxkRkQLpo8ewaRxY4mKiiIv77b8DkskN4yXlxcLFizgxIkTtG/fnn379rFz505q1qxJs6Y+ZF4+iqIoFJnzURSFwtQDLPl8IUOHDsVksrauFRQU0LJ1a5xdvMu9rzHUQisArilsaS5eulzRMt7tuWI1AoeOZn/cDAZ/MhRQ498qqnxp9G0Twbcd8oieN0H3FviERlLfqTr1naozZvpLxMwZxiteNUudw1gW6UTBFao7OOL62zGaHfqTpzo8zsiRI+VmT3JNuHnUSbzWLFZb1ALCwedu0pKqFFWuN+uNYDabefDBB6lWmMO+wykk/LALRVF45bneTJ0xkxdffNFqfG5uLvXq1WP90i/wuO8BAHr1+chuHFx5fNshjzEPTtRryEFxTbyN3Z5n0dvzAfR+swAbuz3P0owLTO3RBK8JS1ifdIaepxOZOfYrOnk4W2WagXVihCkhlpljvwKwymwDrK41Jj2UNhdYJ034hEZSWFhI9OhxuNbwZuXKlbpFU1I5qMxBzjeLmyUXAC5cuEBwcDBXMgsoLMikVp1OFBZkkn7hZ3bu2EabNm2sxicnJ9OmTRviNm8hqvs7FbqHh3djPav9xcl9devc+qQzLFhuxjNptV6OaMFyMw67p9udZ+PmGEwJsUDJ77yW9V5RNIVN2/BptelAte7bm29qjyY0GjWX9B3xdhMjRkc2ZnjC/+g3dASTJ0+u8Fokt4fKKBuuN4vVFrM5l8vpv5OXm16pnu928JezzJWFyWRi69atjJ7xIc2bN+f3n/fjWFSAydmFjRs3lhjv6urKa6+9xuhZczGdTykzWaAspplPlnneqJRFdI6m18aK38cnNBJz+AC9VInGvmkrynS7lJZUUVEcHR2ZP2MKl86f5bXXXruhuSSSO03NmjXZv38/scsW4+3tzbK/v8eCT9/F28uTrVu3lhgfFBRE69atWTB3Dve+PqLkhOVQWtLCsf0mNhzKt8p6LQ2f0EgWH89hfdIZ1iedwSc0kqAwfytL3dQeTcq0sC3NuMDSjAtWcsJovbfdMAJWWfX2att9u+kcc8KasuyLGD799NNyn0MiARo7OrrfkCIHYDK5UlRUcJOWVLW468wpfn5+9OzZk4KCAl5//XXq1KnD1KlT6d+/v93xkydPZvTo0Uz6dCGjJ75f4vw080nGmeoBxTtvW7QaT4MTh/JeaIy+406LXUda1HAIH8CavAxadH8PUONsiJjBlmzV3ZKcmErLtrEMCo3kyCpVCVuacYGWqG4azWUzqIE7poRYXVGr71S9RL0pbT1aGRO9xInBQqfF1RkFdTrFCqDx3IIZU3mky5N8+eWX5X72EkllJjAwkMDAQH799Veee+45AgMD+cc//kG7du3sjl+xYgVDhgyhxek4TijW7bYCh47m2H6T/l3XrHEbDuVbWd+171/DFmbSksBh93RSdgMW92dZqNfmWL1vNGounRKfB2oSsWEZi4/nEDUhgKApA1lkSaQCSi1folnhpuJPmosXJlTrndE6p8kBzapvlDOgegLSdzsz4blIPv5oDm+99Va5zyK563FwdPHCw/v6kh+MXLr4y01YTtXjrnKzXi+KotCnTx9SruTxZ413cNg9naI2YzkwzlNXwLT6cfZcI+FXkjlRcIWpPZrw3HbrLNDAoaNZGBWIKSFW7ddoccPuj5uhFx42Fv7UatgBVu5Xrc6UhrHelO3O3J4yB8Wu1LKsdr5tw62UOe92T1L/0bYMHtCPwW8Pv+XtkSQVozK6Um42d1ouAFy9epXWrVuT8mce7tXU4rmabDgyewR9Ct7HYfd0AoeOpluwM1EhASUUufVJZ/h64kqrjWBpG8OiNmNJ6LjdKuZVw1hkHIotd5oVcE6rLoAaZqHF3Jbmkq3vVJ3B3euSnJiqbyqhOGTD6I7V0MZqCqN42IN3Ev5HPcWDDUf/R7169cr/QCW3nMooG4QQTat5Nf61Vr2Slt5r5dTR1eTmpFaq57sd3FVu1utFCMGXX37JwT27uKfOUYrajOXN/iZdkQNVibOnyEXPm6ALwD4FJS17abHrdOG+JsKL6HkT2B+nVmowBhgvzbjA+HW/W+2Ax6/7nYwpA/UfiIu7EnS3q5YsoRUIjdiwzEr4XqubVWsVpv1t/Gw+mzkVdzdXnujYnk2bNl3TvBJJVcbNzY3Vq1dTePU45pZ/w8O7MW/2N7H4eA7JiakcGOdJ9LwJeucHsE460rBV3EqLy900uZ7VdzdjykB9E7fhUD4bDuUTvq0Dg7Pa0WtjBoMauOtu2E4ezrr80DaHpSVPnCi4wvh1v+uK3ODudRncvbjTgyaPQM2K17LntXmDwvwp/CmLHq6+3OMoCKnfgD/++KNCn6lEIrl2pGXuGujfvz+5NevTvFMEUSEBRHSOLvcao4XtqO/DpY4xliDRSo4YFTdtp2y0zIG6Q1709ny9YbexzZfWyWHx8Rwr945mfbPtGKElOFzclUByYqpVIHRZ+IRGkr4jngPJf/J2zDLmLV7KgAEDyrxGcmupjLvvm01lkQsADzzwAOfSPHBy9gSKkxRsrd+2aO27bBOrNHeT8djGzTFkWNylmmKlKVSveNWkxZa4EjJJky3GJIVXvGrqSlpFSpmUha0Fz9YToHkBVsSuYP7eZDb8sJ22bdve0D0lN0ZllA3SMnfj3HUxczdC8+bNOXv2rF7kszyM/n/VxWp/nG0Xh9IEbGkFgo27fu3HQWPx8Rx7l5S4PxTHwGg7f6NCZ6REPJ3l+oeD7mVupwd4d8irHDx4kIiICJo2bYq/vz+XLl1i1apVnDt3jvPnz+Pu7k7Hjh1p3749Xl6l/9hJJFWB5s2bEx4eztiJsfr3fm2dMKLKUOQ01iedITOkt5Vl32+AWljcD4prTk4ZqMsA203dlux86NQdD5v2gVCye0N57b6uhRMFV0qsReshvSU7nyDLsX4D+lHDZTWdQtsz/YM5tG7dmqZNm1KjRg2Sk5PZsGED58+f5/z589SuXZvHH3+c1q1b4+bmZv/GEonECqnMXSMnT57k2GkTG8gncOhoq1IjRrSYl8XHc5i9/TtVqdpesr+p2pJHLbIZFOZPo1FzCZo9wm6w8pZs1SViDDhemnGBqavGA3CRYqvalux8Zm//jg0bM+gW7GwVdK1hW0BYcxtPMxfHviQnpuLb1voa7V9j30YoVv7md3mQ2O+XkbB2JccuZCCEwBmF+2r78WhoR+r4+nD+1/1Mj1vHLymnCGn6AF26dKFnz548+uijsoK8pEpy8uRJPLwb4zegB6+vT1ELBIf0ZtNk+7FixRsvdcOlxd02bGFmYVSgXncOVNes+n1LIAhrBc1Y8Pd7YHBWD/29va4utpZ9zXoWPXLetT90KWixeEb50SrAm9G+dVkwZhKTCq+So5hxESaKUOj86APUbdWRBn7eHNuzheHfLOHw6fM81roN3bp1o2fPnjRufOPB8RLJXxXpZq0gRUVFVKtWjUavfYz7PQ10a5ht4HLg0NFqHJxlZ12asgfWgdLajlvr2mAsCWCvlpQxlqVPwfs0bGFm5i+T9XmM9en88jJ0N652Xru+k4dzqe6ZNBcvq2s17Fns7FkNg8L88WnTiYuZ2Zy6cInaZ5KoFdrZakxBoZkdces5+1h31qxZw9WrV+nZsyfR0dEEBweX+tlJyqYyulJuNpVBLgAcOXKEVq1aETRsMY7unroilha7DlCtbLZdXrRwB3P4ALpMLC5dpCly65PO6MWDNcscoMsKY9FwYxKUbT1IrVZlWdhmo94uFEUhTymiAIVh3rVoNd66okBOXj5b//kPTjTpyLp16/Dx8aFXr168+eab+PvfWHHZu5nKKBukm/XGkZa5CuLg4EC9e+/lb628Cb9fDWDuMvEkDmUUEA6aPoSU6kF2zwUOHc2iats5Mru41AhA/bh8xkx/CShW4nqtT6FbsBr3tiYikogNkSzamMGiajvxCY3E84WlHKM3OBXPX9+puqp0MZD9how0W6G9NAMWGSwAGouP57Bgeabl3ft85zSp+LksCidglb2mvdfLocTl0ynxW4LC/KmnfoglXLROjiYe9K+Bx9/X8PnjfmQ0fJB//3SA0NBQYmJi6N27d6mfr0RSGahXrx6Xs6+CgwNrIrw4MmUgCycsIWL+Yd3lqilbRszhA6xad3kmrYYWPbAlKiQALFY8rwlLCGIgWDZUvm3DWWuZQ1foQiM5MntEiYK/xmQH21IidwIhBK7CRLBTdf5++SKJY79icPe6unxwd3GmVYA3Ndf9h4OXcsm8+CdfTJvF0qVLWbNmDY899tgdWbdEUhmRytw1ENG1K0l7thF+f6CqyNnJXl0T4cXi4L70PJ1IdClCMnreBKJCAtjXSW3JY7RyGTPG0nfEQ/gA3V3zZn9n0ly8dCtaZ+DbDgls/2YuAH3b/F6iy4Na2DOelqgxPCNDAtjfqXux8uhUnTHVdvKMoRRC9LwJbDiUj8PuYqvitnlT6Whx59qyNOOCfl/bH4kt2dWtfnisatsZrAgAx7amEST+x3Pe8PCjdfnb3/7G/v37mTp1aol2ShJJZcHV1ZX2bVpRr/AwaS5NaTRqLuRl6OVIAKuSJKC6TTU36qbJgZajw9UxeWoWqqb8mRJiITRSV9a8JiwhYpRqMb+4K4GOGJKZDPewtcgZ60zaxrndTmLmDGNtnTCg+HM5YgktGb/ud1j3ewnFUwhBdZMT1U1OXDx/icjISGbOnMnAgQPvyDNIJJUNWZrkGmjfvj0Hj6aQ5uJVaqudI7NHEBUSgDl8QInsVQ/vxmzcHKMX9zXWbwJVsWo0aq5V43tTQiyZIb1p2MKsu1qMJCemMqpDH/q2iQCKlakt2flW8W0a65POELFhGSt3b2T+T3t0K+D2b16hqM1YitqMpeOq8VZJFRq+bcP1MgS2leFL6zahKnT5uiWvrMw+7XmSE1MJ9qnG168/y969e4mMjCQj4/q6b0gkt4P27dtTz5xhpbAtjAq0ssZpGxdjoW8NU0KsHkNn3Oz45WXoGekLlptLXGfEuDHybRvO1B5NAFWuGDNMkxNTb6kip91Pe9lycVcCUSEBVgpuo1Fzmb39O33NoCqfnTycS5RPecS1Jq1ynJg9ezZvvPEGhYWFt+xZJJKqgrTMXQMpKSnUqVOn1PPfdsjT3R5fT1xZ4vz3r/lDQixHLP0MjUKqvlP14kQJ0N0l6TvirYqE+ll2/CnzZxE9bwJL+/cscR+t0PCiuFOWavDQaFQkWObWrALH9mfyZv8wBjVwt9xHvX7ftFQ6Mh7mTWXBcrO+Hp8G6hqKy5msqNDnZnTDloeu4Cam0rKtB3OfCWXO3mSmTp3KBx98UOF5JJLbSUpKCvfXrW33nK60GMoA2eJTyjlNsVuwPBPPpNUsWN6bqMnFiptv23C1nR/W5Yi0V0xb6yLgyYmp19S79Vqo71Rd3xxqXNyVQP046+zZ8et+ZyqqRc1kWb8WI9jt2anEtE20Kp0UASXKq/SoXo2cjEK+2b+f5cuXl+irLZHcbcgEiGugbdu2PPxHCi3cPFn09nxS5s/Cw7sxa74bTq8+H+lNsgc1cKfDC0tL1IiybYRtVOaMipyGZonTqrgbOzyYwwdYuUu1ZIc5rbqUqE+nuVyN/Vs14Wlbe86YiKH9UNii7abLC6423hsotaYdWCdm2FaZP5V5lTe3H6Vz585MnTpVJkZUgMoY5HyzqSxyoaCggJo+Pvxr+VdUa9TM6pz2XdGULChpmRvUwN2uxVobExUSUKzsWLpIaLLAOKe93tG2x9N3xJeZtVqRZAjte2mrGE7t0UR1MRvuBZSI3bM336nPvtCf1aiUGmvwaW7rBcvNbJpcj/2duvPBxTNcrlmdzp0789FHH+Ht7V3m2iWVUzbIBIgbR1rmroHsn/5ghYcDred+QtBrQwgCkoeO1mPYsufPYsPQ0dR9YwiZhh6sgUNHqwKqlHkHd69bos8iFAv9DYfyiQpRhaIWXzfeRiBrFkG1RY/1/Fuy8wnalUAjQ7xaVEgAgxqo8Tma0LVq3ZOYCiTgS3FbIO06jYrs8LX1aj866TvirbJxjRXjbTNil2ZcoH6cOq5hnsKv/9jEmMJC1q1bV+59JZLbhRCCzo+3p+8bb7M0dgX+/rWszhsVOSO2cXRQrPxp31OtpqXqljSMsWnnZU+R0zCO8QmNZGqPhBK156B487Ulu3qJDaGG9n0F9bs9FX+9yPn1sjTjAvVfepmRezfpz6HJnJhhxV12ju1XS0I57J7F6+tHE5Sdj4+DE04XMon7Zjn169fn/fdLdtmRSO4GpDJ3DXyzbxtt2ndgxPCPcOj6JW/2N5EwrLh2nId3YxZGBTL0/Qt0/verNP7q7/o5rWm1UQHSqqX7tg2HhFgGWZStsuJi7AnhV7xqMnPsV5woKLnjHjP9Jd36Zdylp++IJx10d0z6jniCwvzZYgmMXpoBrySCb1vrht7rk86oBUxnj9Crv2v9Wm2DqrWCop0SV2Drki0eV9OQ3ZrAlrhTVtYB7V8PB0dcFYXdu3dz6NAhaZ2TVBocHR157qWB7D04Ag8PjxLnbRU57ftttEDZFvsG9NIk2lhbjONtC38bFTh74+xZ4LRwCKNCZ/yO23uu9B3xDEb97icnptJolPV9oGKbvhMFV8iYMpAM0N2rMcOs63K+2d/EhkNmPLwb0y3Ymc2GxAgn4cD8+fN57733cHV1Lfd+EslfDanMVZCrV6/y3HPPUbvrEEjKInv3dGJ2lxwX0TmacIugHLxqvF4Dyi8vg43TSo8xM4cPoIOhpU/0vAn45WXoO3JTQqy+E7Z1b5RV0V1znUZsWMbDE0/SsIVZL2mS5uJllf0GWClnQIkMOSgW1FobH0iwW2cO0BVDDW2Xr1kBIjYss1IyOyWusJsYAuqPzM+9u7J69WrGjRtX6mcpkdxOTp48yRtvvMHc+Z/h4VHN6pyt5Sx9RzxRWuiCxVKmYauwdQt2tljlA0i3catq49NcvKzCL+xhnFfbvI1pG1/C/amVGdK+f1N7NCmhxNmzMDYaNZcxbUsWJ9Z4xaumfh8tIcJeyRRtMzjVch8PQ4Y9qDU9X5zclwUhvYkKCWCz4R5uDiaaNWvG5s2beeqpp8r8PCSSvyJSmasgEydOpJ6rYPbkwaWWJdEET7GSg66QpZcicLdk59MSeH19Sok2PFpPV2OVdp/QSBqNgqWW7FUou06UlmjRwsULh93vkZbUGJ9vXrG4TXP05AdNedPi5BpZdt3aj9GgBsVzpp/Gyppm7MtYFrbumpbj+unzp7l44RcaSVBYAiSm6t0uNDQls2HTx3n33XelMiepFCiKwqBBg+jTbwDNHnyoxHlj3JumVGVMGUijUXOtk53sWN6MGzkN244OJqxDGDTKs+T5hUbSchwEGSzqxi4zg7vXtYp/Kw1z+ADSLPPZw8fyndaSIPQyTOuKlTnrBKma+rOs+W64VTHz7EuH2XAon02TA9nfqXuJe/Xs2ZO1a9dKZU5yVyKVuTIoKirixx9/5KeffmLR3I/YkbCBtUlnSi1LohUIbTTqFd3dsLHb83qV9ojQSLZYFDRQd756yY5Y6ziwmGFTKOr6JQkdt7Nv2grdAmZMUqgog7vXxS8vg6I2Y/FrUZydCpBuScqA4vg2Y3V67ceo5+lEq6w4DS1exp4iZ1TetPp52ngtjk+LydPcvrbjNTRFNqTpw/z555+kpKQQGBh4TZ+DRHKzuHr1Kj/++CMbNmzg1OkzTP/w41LHajGv2qap0ai5pLl4ERViv0yPldJVSqytUYEzKnG2yl5ZWbJ+BiudlhShuVa1uYz3sXXh2sM2sUnLSh2MGqenbwIt4SKveNW0KnOkXbe2ThgknSF63gQrd2vK/FmsD55AxzB/K4UQoEePHkyePJmCggKcnJyQSO4mpDJXBmPHjmXVqlVcOXGKIV618fH2gozSG9dnhvQmoeN2XditTzpD1JY4/PIyWGwp+Dl7+3ds7Pa8XtC30ShVOGbPjC4xn2fSasLpzXdh6u55yw0W+jwwzlP/W89Itbha6jtV15MewNJ9wuZ6YxshsO8qMVoS7SmdmhvnRMEV1WoYd4pOHit0y6P6Kv0ZUn87QFRUFOvWrWP48OHX8SlIJDeGoij07t2bU6dOUa9+IDPmfIijo31Raox7s7cZKgtjTJ2GsVadX16GlUXdiPFepSl0xvOveBW7XI0yxl5vV3vrtL23UVaU9X0uDePnprVItPVcxMwZZuUq7h/cnIYPBLF9+3bCw288K1IiqUrI0iSlcPLkSZo3b87j+R6kmrOB4obW0SPnlSgIDKpl7vvX/DGHD9B7M2aG9ObN/ibdlWKl6FmOLT6eU6LHq5Fp5pM3XBvKtkyIhpo4UWwpBPTesMYsVi3pobTK8cZin5rlwZQQq+/MjRZFY0yclh2nV7C3g2bR0MZ8//nHrPjfn/zwww838In8tamM5QduNneqNMmmTZsYPnw4X327SrcA2UtgMKJ9F4Ay/1+3tcoZj9mWObENjygLe/czxqoae75q2Et8MHZwMa7TmICRviPeSq6UV+7EKHe0ntJ9CtSs1IYtzFYFzLWyLOHbOujnF0YFkjFlIMmJqfwrK51aL/RhwYIFZX4edzOVUTbI0iQ3juwAUQpmsxnH3GwiPd2sj9t0dtBcq6DGdGiuyW7BzvgN6MGb/U16xweNiM7RxAybQpeJJ/Uacpkh1j1Ii9qM1ee/HkXOtgq7mohwgX3TVljt2m0VOUBX5AC9Ursx6cHevTQ04a/9SGiKnNY1IijMX7fsDe5e16qVGWBVAV/D6LJJ3xFP68YNOLj/R+Lj48nPt06WkEhuNbm5ufj6+Vu58kpT5PzyMvTvvmZ5hopZvEqbV1OozOED9I4s2nF7lKbIaSEU6TviaTRqLhEbljFm+kv6C9TNnlFmpO+I17tVaM9nD2McXHnehEVxp/Twi1e8atqN1RvUwJ2epxPxy8sgfFsHHHZPtwp38W0bztKMC+QXubDosxj27t1LUVFRmfeVSP5KSDerHX788Ueef6Y7iqMqrLX0/M4zd8DMHWVeq/Vb7BbszJoILzZ2e56+Fjfm4O4JbHt2qj7WYfd0NrQYDZxh0+R6dJk41kpABQ4drZY6eaRkN4nydrua0qUpU1oA8pbsfIIsY3xCI6nv9JXVPLY7cdv+qfbWoQlu2x8q44+I9Q+KmuSgjbd1P2nlT7SadJobuJOHM8mJqkt2XJ8nGTv0dV7OyuXgwYMEBFg3MZdIbgWrVq1ixLvvcm/9wHLH2nOTatYwY6ybOXyA3XpzRoXLWN/ReHxQA/cS3zN737/S0GLndOuf4e9GoZEMxtJ5Yd0FXjGETQSFJdhVuo7MHlHuPW3R4vQiNizT19Swhfp5aEXYtRjeXutT8ExaR7bheuNG+VLRVQIcXenUph33Bjfit99+w8FB2iwkf32kMmeHgoIC/kxLZ8u0d8k7sIMWE5ZYZVXZYkyhT5k/S+/2MOqlYkVJixF7JXEIRaExeCat5sXJfYuVljdWsGlLHL36NNatdAujApnTqoueKNFyXD9VoQSOonaVGPpI6xLr0Sqx23Z1MPZJ1AT94O519RpRAMmJWjJEsYLl2zactXXCGDQq0kpYa9Y8o9vINhjb2GfWFs1iZ+t2igoJUGMMwwcQZFFENbZk50NiKq3DIPJvrzLggy85ceKEVOYkt4X09HTcPTz4NObzUscYk4aMaG30ugU7M8iidGkhGZrSorH4eA4bDhkVvDMlOkVEhQSUKBsEZStx2vfTLzSyuJOEoVWg7XobjZrLK4lqpxcrDwiHxFUAACAASURBVMG6C9SP62NVRBiuv13YmOkv0Wujdv+S6/ALjaRDn4/UdQ7ogR+qolf3jSFE29xvol89tmTnsyIpidzcXNzdS/a0lkj+asgti4H8/Hw+/vhjnn76aXq3a4Gbi5OahVqGImcPv7wMPTvMtkk0wKbJ9Xhxcl8APSZtacYF1X0xoAcNLRmnRvdMUJi/HieioVkBjdjezzYORjtmxFhbClSFSWt4n5yYavXjYK9osS0+oZGYwweU+qNivP/FXQlltiTybRvO4O51rdy7W7LzWRR3iou7EnBzdiInp/SkFInkZnD58mVGjhzJmDFj6Nm7T6kJD8aC38bvgD13qTFb3HaMMQHAHkZL3bVg3Fxp8iV9R7xdd6m2togNy6zCMDS00I3x637XN4Q3q+/rsf0mju036e/TXLz0DXO3YGdm/jKZzf172r2f5i52QEjZILlrkAkQQGpqKh9++CEffbaIlg834+q+g7g7mFi5eyMtur9X5rVFbcayaXI9qwBozVqmWciMhT3X1gkrkexQ1GasXoJEczWAdZ25FlviSiiVgUNH4/j+c3bXpQnf8hIWjFln2g5bswIC5fZxNCYwgPpjoe2wtT6SpfV+BWurntEFZQ/bsiyH8nJYaspjz549NGzYsNR13o1UxiDnm83tSIA4dOgQH3zwASu/+477HgvliecHUc3LB7BWqGy7ttgqW7b15oyuUmPPVVA3acf2m0oE/2uWO3v9VivqUjViTKjQsHUJG8eW19f1WoiZM0wPr9A2iDFzhrG2ThgbDuXrfa/9BvRgYVSglSvV2A7QnmzrvHwt7gc2seDr5fzxxx+yI4QNlVE2yASIG+eWulmFEF2B+UAAEA+8CmQDy4CuwHRFUT68lWuoCHFxcWzevJkmr33AgkHtGfpIa87e17dURa6ozVg8k1ZbKWRapqcx8LfRqLkl5vDwTi2RtapZ4lqO68fGbs/rx7VYkhZb4lifdIaiNtYxdQujAlkfvNaq8K8WSLzt2alqKZRRGWzs9rzdHaxv23Ddraq5L7W/t4z9qtzPTRWkquvWGPfWLTgMKP7h0jLltLmNn5HRMmdU+oxrtIfS3J0vthxnVdy/pCJXBakqsiEmJoaLFy/y2kdLeb5tM7sxbOuTzvD1xJVWmetGjIqXlsVuxKjI2RIVEqDfU1PibK1oFVXk7K3dqMiZwwew2KCUGuvgpbl4QfgAYuZQonPE9WLsNAPqxnHl7kg2HMrXE8u6BTvrtfa0+07t0YSlpXgI6jtVx/PUb8z+Ygnbtm2TipzkruGWuVmFEN6oDTlHAnUBAUwBOgN/APWAMCFEtVInuU3cc889uLu74+ZXD4DD3VeVWibEw7uxrnwZ8W0bbmlyX9y2pjgGpBjbeT28G+vttXxCI9mSnW8VnzJm+kt0mXiSDYfyadjCTPS8CUTPm8D+uBm8vj6FryeupNfGDMzhA3SX5Mi9m1iw3KyWR3HxKpExqq1Xrc6untNcJsZaUxWpaadZ5ZITU3XXZ8/TiXoGb/qOeCtrmlYexaikHZk9okTx07Jwf6w6Y3clM25AFE888USFrpFUHqqabHB0ccPTx1dXxGwVrw2H8sm+dBjPpNX6MU3p0hQvzaq24VC+lVIVFRLAoAbu+riy+jLfTLRNlr2Y1g2H8q3WacQcPqBUt+vNwFYGGDPpg8L87YatGEktzGXy396heaagcePGZY6VSP5K3ErL3NPAT4qifA8ghJiJugPfiNqFxhFViN9RP6+iKMyePZsnO7QjMiqQ9eV0eHhxcl8WLDfT0BKEuzCqnt6ep+U4wOICCArzZ02EFx1ii5MjtOs1Sxqou83okRd4xUu1kGklAbRza+uE4bB7Cim71eujvhtOxpSBMGquxTJnmc/ihtj27FQWTDyJZ9JqjtEboopj1IyFfaNHzqO+U7H1zZiVeq27bvXHYAUnCq6wKO4Ugynebe+bpmafGjPf7CltWjIElNyx23Iq8yr5hYX4VHNny7R3aT9qpqz4XrWoErIhOzubT2bPIGbuBzSw41LVrGbdgp1ZYOmuoil69mLkVEtXsWVuvZUVLMDw7xkIhqiQelbn7MW1VSRz1d5a0nfE49s2XI/Z7VnK/LZoCm2jUXOZyogyO8CUxcyxX9ktcxQ9ch6DvYrDTdITYvXYwqgJAxjTNpaZNl4DzT3b83QiT78zmzyzmXNk09rNm13ZF2U2q+Su4JbFzAkhPgSKFEUZaXnvAuQCNYBFwBPAZEVRPinl+iHAEMvbFkOGDLE37Ia5dOkSZ8+exb+gCJfqTmR5B5D651m7Y/3vrc3lXIXC9AzMrt74+4CXqzOHz+RD1llMjq44+niRl6O6613cFeqbsvTrC7MyOXPpqt25nYWJe+r6cjizuEtD4wBnMnLzi9dTrTZNajuQe+4UrvfUpTDrMoVZmeRlFuDiqa4dIDUdTLmXMLt606S2A6eSjulz5islrYrOwmT13t4YewR4qzX4XO+pS+65U1zIyCdfMRPg7YZjNU+yz6bj4umEYzVPHKvVKHWe/2fv3MOjqq7+/xmGJAgEB0KocmkCFJLSn1SMxRIQGvISk4aal4tYCIJoUCJglZaAgcTKJdxaqC9gEFAKEhAQMDV5k6IhggiIRqptaYACoUDal3AZgaAJJPP748ze2efMmcnkgkaZ7/PwkDlzzj77nOSss/Za6/tdN699YbLtKs1bB7psF2OWW5pz4co1blZVU1VdjdVqxc/PT/77/ve/j9VqdTn+dsHq1aubXF2MQENsw9dlFwBKS0u5drGMLncFy7/fm5bm2L+qISeIZy2oY1tsLfzdDQVAc8dN+bNxHHHsaXsFACG2ANdjnM+JnIvz+de2Beq+U3HToq3ZxfnaB9Q4NxcqquW2m9e+oHnrOznxRRV3trDo5iVg/6oSWwt/mjtu6s5fcfUGV6scXtuOoObNubNHV21uVy/yn7MXXY4VNtHuFyjn0txxk5P/OC73EbbG7heI7cZVTp85zw1HNTdwyJVA8+bNpV1o0aIFXbp08WqO31U0Rdvgq5lrOG6lM7cGOO1wOOYp224AIQ6Ho065hFtZ6DxkyBB6fPJ37r8jUKYMq6ITXcgGIqominOFqK+7KJ5A8vI0Oj+jvXDMmtGH+LWR0Tghhqmec/vW56V6vCe2WOaSqfz3q+cJThwmt8WF+TNo22wZmWssppnQ3VNTpWoxs0qMAFeSgxHGYm4xllk0T9QFqqv6qmoHVypvEDj6OS5cusRvfjufnLw8evfuTWFhId26dbvt+rg2xSJngcayDbfSLlRXV3P33XfznKMl32uu71IihL6zi0tl31ChCekO6t+4u2dg7anrrNykOTRq1xh30TezCLc39XPGORgjcp4IFUayhLEXq5mNUlOjMzPGUxWdCGhRvryjlbKDgxlTfoKtPbF5G2W94PHF0+R+ghgWXGGXZDEjNu7N4eLly2SPSWb7lUv8vfIaVVVVVFVVUVBQQEREBMHBwe5v1HcQTdE2+Jy5huNWplntgGyfYLFY/J3nu3wLz1knXLlyhf0f7GXawxFk/fnfUHheIwTM30yR04AIpy44cRhJXVuyIV0T8K3NiVOhyn5kLpmqY4RNHNpZOo/N0AsSXw0fSUz6GRbscy04nmBrL7eF+LWR+nPlKxbJF4u1IIuF9UyDeIJxLGNKVKu/g5CcSul0iReEu5ea+F4dS32pqP/PjHR9iVn3F9Cjxw8ACA5qx2frXybzuj+7du3i2rVrBAUFERcXR1xcHAMHDiQgIKAht8CHhqHJ24ZPPvmE1s2qiRzcmR4pS6UDV4aeGCA0JlXWKejbexn/5mPSzwA1rapEPV1CeEfyIkp0LHAwd9DWnrpOgiI2bCbr4y3UFoMACdGJOv06IxMdNLKWuxpXYZuErqUgPcXmbdT085ySSqsSQkkIh6LBQ93ObXd5JX335RLsvAdG3bu+BVkc31+gs0lisSkWg3d1CGZwzPc5kdOMf1Reo1+rINoMuJ/S0lLOnj1LWFiYtA0/+clPbuuIvg/fXtxKZ64YrTZG4IfAcYfDYZ5n/Jrx7rvvkpSURMLPY+kyqA+D922W3/WdNdpZS3Kd5OVpuh6q7ogRAqqAcKu2PUnq2pIUYPHerQCMyLezZolWGyKp+CZ6cfnvZjLCKZJ59pXVhIx/XNfrsO+s0eBkd83MGE+B0pniZJEVErR6NYEJtvb0nTWai/sLvNKKqw0nCs+bNtBWO1PUCCWf1xl/lb0KNS8LtW5OwFvZhaDIaPlCs351jRfWbKZTYAtWDAin84OP8Y8z/+aDI4f5zc5tnPminJEjRzJu3Dj69++PxXLbLeK+aTRp27B69WpSU1OZ8vhj9HhsjFPAtxK13g2czpezdtZIijBzroRocGCx1jT+JKkQhpQusgJrWkO7rvGmYsDqOJqgsKuQcH0homQaSnUCxu0GxLswWHc7a96Mz2v3qA6cKDzPvGG95Hd90YgTZaATQs4uLuXdMcM9zuv0jSuS8S6us++s0ex29n41SqWE+LWRtlZFUGQ0gws3s+WKhc8rrtC28AO6+bXEhpUrnxXz2uG/8ru587Hd/T3Gjh3LuHHj+NGPflTbbfPBhyaDW5lmDQKOAwnA39AkBz52OBy/rcdYjZ5Oefnll/n000+Z9sJsaXRrjDYyZSJW2JOySyhZsUg3RvLyNJlmESjKWaAz5PlxY4nN20jE0Bdk2tQ+9wkXMeLk5Wny5+HnCrm4v4CZvdMpy9opncP5VWfkPt2jOsji44lDO/PkX++R+1X3S2XyGCvDzxVK7To1SuAuJaFCaOS5kzUR6WFjo+92A+J1qRCxr1Ep3piiPVF4XpfKUuEpnSRU9NVi8kMZU7n293+R9vCPaN6smcsL5z+Xr5D7yefk/vUklZWVjIiP45npM+nevTvfFTTFVIpAY9mGW5VmffLJJ+nVqxcPtbiqSwmqGnEqzORGwLyjQkz6GcmGFxE4oaHmroeqWcRNRAqNJQoCwvnxJlonZEvyjlZyssgq+0mrEK31oKZcxPhci8id2tvZTE/P+HNS15YebdKWA/mMyLezKiFUJ1/krYamus/hr76gQ/MAOloDTBdx5dU3ORr6c776506a+wWyeOFsRo8eTYcOrooA31Y0RdvgS7M2HLeM5uNwOC4C44ENwBngPLDgVp2vrrj33nv55z//KT+XBdhYuamKkhWLKFmxiNghybV2fhh+rpD8dzPl51Zte3J88TSm3PdTHu0XS8rAUewur5SMsfLLx8guLuVE4XkXI5sQ3pFB22aTd7SSHZ2i6JGylO2x+nRObN5Gukd1oO+s0fRIWcrivVuZmTGeHilLZa2c0GcyQ3ZxKWtPXWf6R7vYciCfzCVTTan+tdH/oWbFbIagyGjTMYIio2Vj8EPzN+saeAu5EvUlsPbUddaeui5fqCJ6Zwb1ZfqbH7Shc/O2po4cwF1t2/DkkAEUbn+TVYszsF+5wgM/+QkPP/wwFRUVtV67Dw3Dt8U2qH9rnlmqHZmUXWIq5VEWYNMdI1Kr22NtUr7HE3PbnTOmypkICJkRb+vmjNcg5meGdgPipf2ZOLSzTKGqCzQzCSQVwnlNCO/okpaemTHeVO5EbDPuD9oi1mhnQvzasCbnLGtyztJ31midpiXAvQFt6NS8hdtofKtmzek94QmC7+pPy74pzFiaQ8+ePZk2bRrfBoF9H25f3LYdIOx2O126dOHDjGlcPrjbbduu6n6pHJ4VSJ/5V13ICW8/3UGXyjSuAkXtxsze6TKqFzplBgs/n8PsnUfYciCfPvOvElj8FsGJw3RROBHFC66wMyLfrnPsRARRGEfjyjepa0tdRG3esF7Y0l7Xtf8SrXJ2zelC0eChuuib6AVrRtgwgzCoqqyKKmAsVu8qoSE/bqzbSJxxNS9W5EKYGdARIESXDcC0YFyNWBhTuWKfyhs3SEp9ic4d72bdunXf+tRrU1x9NzZuVWTugw8+ICUlhYXdmktClCeIjg2ATjRYlGaAvvNDXQgH9dmvLqiNkCQgriOpa0tdf2Zw7c1sFP0W9088m2rK1HjeS/typWyJGNd43epno00QskZ7HpnHyk1VpvatLrj54puc/J953NXezvjx45k2bVrtBzVxNEXb4IvMNRy3rQDPZ599RuvWrWnT7yHa9RvMvw8fMI1qdYuo4tK+XNMVq1HkVzg+E2ztmTesl2xir64q48L8CYqMZsWnBxmRb6dbRBVXw0cCekHh8svHZKH09libjFSBq/r8yk1VrNxUxaqEUBdHDrSWXtaCLN08ukVU0S2iCmtBlouhW5Nz1itHLsSvDRNs7Rncyp+JQztLI64WSxvbfQnsLq+kR8pS05dTcIVdruBVR272ziOcvnGFwa38db1jRW/J7OJSRuTbid4zkP9+9TwDH1sn75mYl/o/1Dh6/n5+zFu4mIOHDvHaa695vG4fvtv47LPPCAgIICgymq8qb3Dp70Ue948L85fPkzHd6qkbhIC3Dlp9mKp12c+su4SAeB7dkR5U0e+gyGj5T4xrLcji+OJpXNxfwPHF03TnEectC7DRbkA8g1v562yDKN1wB6Odmtk7XbKCGyLCnLlkKmVZO2nWzA97RW9+97vfceDAgXqP54MPtxK3tJ1XU8bBgwdp2bIlh85eYM+xL3hl+Xie+cPrfC/kUV0dXFyYP5wzH6MswObs+lCzbd6wXszsnS7p9oNb+RPbtSUb2vbkavhIrRalazwjsksoy9opHTljPR5ojNmIoTWyKCrU2pPA4p0AZBc/yvBzhZJJJhyy0zeucGj+ZhJ2JwKlMoI3aNtskk3IEN4yX80cNeEodY/qINuDGaNvl/blsvGLU5R+9rGpRMKlfblYwUWOxaz2Dmrqg/KO2jXje/kY5c7v8o5WkhQbr3sJaY5mTa2fWOl/31pJ+A978e/jxRw5coT33nuPPXv20KlTJ2JiYvjZz35G69bfeFMCH24xDhw4wM2bN6no8RN+u2Qp+z5aTk7B+wQGuuoeQo3Qr7u6OWNtW1OAuz6t7vZVa9XctdirTc5Erau9tC8XhBiwcn/KAmw8UXqUz4qP6+YUFBnt4tCp5xM2qyo6kZPpZ3T7dY/qADvrFpmbYGvPxGv9Ac22+vkHUvpVINevX+fQoUO89957HDx4kHvuuYchQ4YQGRmJv79nnUEffLiVuG3TrAAbN27k+eefp7mfHwMGDiLn0BfYblTq9hFsViMBorpfKgWD9pI8fblMYwLEpJ+R6dh3Zw6QbKstB/J146qaUuCd1Eny8jQGbZvN7J1HyFwyVRb+r9ykRQXWtP7QYyNswTAzIykITLC11xU0e0pPGCUABFTtKZXYYIRwwlSDrsogqNFBMS/1hWB8IYk0skh5AbKYW03/iKihqoMnxowYEs/V8nLubOHHzwb9jJ/efx+l//k/9h78iL/87Qj3/+QnxMTEEBMTw3333ddkZQyaYiqlsXGr7EJVVRUZGRksWrSIsO5dsbW5k58MiqLl/VrrOHd9VFW4S6k2BJ604epyvBmJw92Y9WXKmhEzqqIT5TMqpJMEzJ5nMYZZVE7t9QyaMyc06frM14SMBQmsrgx+sSAXdqRbRBU3rtkpmjcKi8WK1dqCR8c8Qqs/5XPuRiV7rn+BpXVLBg4cyJAhQ4iJiSE8PLzJlmo0RdvgS7M2HLdtZA5g7Nix9O/fnytXrvDT6J/TwhEELV2LeGPSzxBYvFMnO9LsQAYMGqDbL7hCS5uWOCPxajovZeAoZmaMl6KjG9K30KwWmRMjhp8rlJG0Q/M30xenJtSYUhLCu5B83y89Hr8m5yzkrGdmBjrNKAEhXzLxWn+t9i6lJd2dNSlm0TqR7gyKrKlhEQ25a4x5gWl7LtW5Ey9H1eHqHtWB7tTe2ktATadMHlPjYCWEd4QKu5yfOpZwNEW04dK+XH77SAzfD25H5/ZtCXqwRv9q6pOPc/3LLznwyad8euI0jz/+OP/5z3/o1KkTFRUVVFRUUFlZSUVFBa1atSI1NZWkpCSaN7+tH7FvJaxWK2lpafziF7+gsrKSuNiHSJ4+kx49O5qm7dxpytWGutbAuXPCjPDGiTQby5trMGtBVhvURZsKlQl/SdGSU5EfNxaokTwRCzBVu9MIURKTEN6Fi9tqtx1GnCg8T9wj/s6Wah2Zct9PidmwlRNBvfHzb4PVGsD0F1KZ1GsMJSsW8XKbM6y+fJ5x48axa9culi5dys2bN2nXrp2LbejYsSPz58/n4YcfbrLOng/fTtzWkTmBJ598EoD/3XXa5bvQKTN0xAQVRTkLTKU7thzI5/jiaQRFRrPQqYekfjfwsXW16tWZnevRfrGAPt2oFgl7isoJCNV0a0GWrj/i7J1HmDesF3semSeFkUUf2eMmDp0qTSKMrJFkIerdQF+orEItWgbXbhFq1E6s0MU+RrFTISuj1gaa9bUURdaAC9tNjf6phdtm+M/5Mi7Z7fj7+eHv74e/nz9XWgdx7uxZXv7977h44QLL/+dl4uLivnbD3RRX342NW20Xbty4wYMPPsiYMWMYFBPndj9v5T/UfW8FmUE9j9m83IkYC6g9Zz3tY5RvUuEpuqc6c8KuGCP2RnFi9Xk85Ox7rZZaqHZJROaMpBN3WYi6IMSvDdM/2iXtUdHgocyyam3B8t/NZMp9P5X7OhwOvnJUU42D6il/4NXB7fD392f4s9v4zXORpEyaRN9BD/L73/+e++67r0Hzqg+aom3wReYajts6bFBVVcWLL77IBx98gG3s76ju11qX7qzul0rJigxate0pyRGqEybSB2o3BoBH+8Wy4tOD/PeoZYxb/0cGP/OUNELHF09j3Jx5Lvp0nhA6ZQYpA0fptrlLXYrUJ2CaUl1nv0D3uU9IIyjSmQIJ4R1ZGT6SbhFVLsw1wVo1RumErtRap7EW6egRWTW1fkkpSyFnlE6fCnCSGDZLtqta2ybqjUC71+rKXIXa8Fx8li8VRUNQOnYD4pmZgXTo1HMfmr+5Zj4mLFv1ZXVXh2Du6qBvBWQNsNG2bTtWr1vP3vcLmTxlCj/o3p3f//739O7d22XuPjRNlJeXM2HCBNq1a8fAIbGNPr4ZgxvqFtnzFKUzG8fYLUKNlgmCQ20Q9YFGiHGM+nSuxzrnDtjSXqcKTBd8ZvW4tUXrd5dXYvxNuVtE1oYVnx7UsWBP37giHbZ3nftUD82k2YEMljwQA9S8BywWC3c4+13P+/frtOj2OjHpZ5icMZ5B5wrpE9CGMx8eIj4+npiYGObPn0/nzp1d5uCDD3XBbctmvXTpEkMGPcju/DzeenU5byfczeFZgSQvT6O6XyrV/VIJLH4L0By4q+EjCU4cJp266n6p7OgURWzeRvrOGq3TO5o3rBfZxaWUXz7Gyk1VvDAgk57r/0jE7hx6pCwlqWtLQqfM8Hqu22NtXpESBLNU6LmJ6JXR6ROsUEDHwj1ReB5rQRa75nRhe6yN/LixkjEKSNYquNeZK8vaKX9WHd+yAJs81khi2F1eqatbE/uDZujtc5+Qjpc6XnZxqdT3Ei8jod0l2HXHF0/TRQaE1l5VdKLO6RXnVusF8+PGumXvGecCSFZtcIWdDpVfMChqMNuyc4i6vw9Dhgxh7ty5Pq2qbwH++c9/cm+f+6i4WcXyF19wiaqqrE9vnS9PTFEVjdHNob5juYvGGZmnSV1bunX81GdBPDvi2o33QDyP4pigyGgGt/KXCz2xGFUdX/Gsmi1kT9+4onteRb/XurYy3HIgn5j0M1qXHQ8Y8ucneXNghcfxgyKjtVaNBzLIO1rJwtT1WCwW7m7eglB7BZ06deLHP/4xW7e6dq3wwYe64LZMs164cIH7+9xLzM8GMvu5qVw5+Gd2dIpiQ/oWrjqjUnFh/mxI3+LSVQFg5aYqGcGr7pfKrjldsBZkyTTnik8PAnoyBGis1KvhI5k8xup1ZC50ygwmvjzFtDerWLmqTtWanLOymbUgFHiTfq0NamrX2N1B1AICsh6w/PIxXVcLoXQv5mIU+1THAD2JQkBNfwptL+Fwj5vzqMfIgpr+BaQen4g8isicWU2dmRZebTBGWs5fuMC4qdPoG9mfzMxM/Pz86jReXdEUUymNjVuRZv3LX/5C9H/9F5MmT+WRX442TY+rES71swp3zpCn9OqtIDjUxlJ1l1o129eYIvaWRCGg6j+6IzsYNSFVuLBh0adla9OSE11tRKZCzRCojPkTqaspWbFIV9oCms19YYAmEr9gXzLr7Bd07QvFz1sO5BMx9AXTObw5sII1OWeZ/tEuue3VvL289tJM5s+ewa9//etbXpLRFG2DL83acNyWadZXXnmFfvffx29/87xsB5UAMr0ImsNG+EjpjGkaUlqNxEpqqO/NDmQQO8TpdNn0/Qu9Yah6g7OvrGaLs+XN4r1bWXvqOmuUdjg8EkVCeEfsc58AtL6vWw54X0fnDTSD1d50+8JUjVTRbkA8w88VkrD1ecD1pXLcYJzVej1j/0UhTSJER0X0Lbu41KWX7dXwkZJxDOY1cypOFllZWVRFwhybNO5qPV4N6l487Q4d2rdn+2urmJQyi1/84hds27bNrdSFD98c5s6dy5NPTWLU6DFe7V9Xp0v8nbsby1M0rbHZsWBeU1ob67WuMFuYGckO8jzRiVgLsmREzqyuTpCsAGzRicSm2CVRwgwhfm3ouf6P9HCy2mf2TufkDStbZtU8f92VUpSTRVaaAX3mX2WrswOFmEO3a9r7Yfefa1i0xnOp2pZG/HJvALTpTsGQZNk96K6uP+DOO8KYNXsBp0+f5g9/+EOTZcn70HRx20XmvvrqK0JDQ3nzlZfp2b0boFc3F90VRLpQRNIGbZvNicLzROzOcYm4CSQvT+PdMcMltd2oHSdStKL1lpm2nBHqMasSQhkxapkufSnSwVfDR7LV70VpkFSducaEuhI1bgdcejWq0UMxN7Eixv6VUAAAIABJREFUFrV2wmALpi8g5UTUKJxwtFXJANAKsbOLSyVxIzhxmE6HDzQHT/SeFPdLqPUHV9S8DGLzNgKe+8GqcBcBcffivXnzJqkLlvD3E6fIzc2lY0fvGIF1RVNcfTc2Gjsyd/LkSfr27cs7f36Plq1aud2vIQ5VbZG52qJjns5v/F4dz51TVlc5kvqcW5UbMqYuzZiuSV1b1izqnI6dGEeVNxGIC/On8zNPuY3MDdm0Q2ZCqvul6my3cKgEUeJE4Xky2kdTfvmY1PcUNgS0khexn1E6SVzbxGv9vbLtgjhxbOg2mh3IoLr6JpdvXuXn/bqwadMmWrZ0X3/YEDRF2+CLzDUct11k7u9//zvNmzfnB11D5TbZdxEYfi6XPPpLMV/5wk9Zii3NJrflRcxweWAzp87lzWG9tIJbk1p36YQ5xYIDFakTdxCOX1yYP9aCLO2z4miKcZsdyKBHzlLYqaUFvGlf484x8wR1f9H2S627W2eHkJwa47du5xFQHEwVKoNVQETfygJsWNGMbFyYP3nUjKl241AZdeq9ApEO135HooNuM+Bqv1RdpBU0Eseh+ZtdnDh3Iqlmsg61veTLAmwEY2fR7JmseH09ffv25dlnn2Xs2LG3zKnzwXvs2bOHvn37enTkjKiL+G5dxvNEYHAHdzVvnr4z/t0aU70N0ZmT1+KMsgVF6lOoa3LOMnFoAT1SlsrnPiG8I2XUECqGU+MAqws74ZAJHVB3PTpC/NpodsD52Vj2IkpRRNZgnf0Cb8/qwI5ONSLtaqRf2IfYvI30VZzU2LyNjMjXbNWq8I7Erqj9HsUOSeYHIOWsmjVrTp9n51Ly3ss88MADPPvss4waNYo777yz9sF8uO1x2xEg7rvvPu6++27e3HvIxXBmF5fSbkC8bM8jauSEcyGK7ZO6ttT1SlURFBnNzIzxHldm5ZePyX6snpC8PE06K8Lh3B5rY/vW5xk351Emj6mpGQMtLSDEiecN62Xa7N4Ib/czorZjRCGz2C/Erw3dozpIwgjoC5yN0Yrs4lJ2dIqiLMCma8wdF+bPqoRQ4sL8XZpvi+8GbZsNoLs3RhhlFUQjcdBeNOKfitrIEO5qnozN1i0WC1OffJzMBXM4fvw4P/rRj3jwwQcZPnw448aNIyUlhStXGjei6kPtGDlyJJ988gknT/xTbvMmUlaXbbdCjqSx0FiOnLtx1WddEBME01RlrqvY0SmKquhEygJssr2h8bkW5SXGxWKIXxsK2nR3W+4SnDiMlIGjdM95iF8bkqcvp/MzT5kes6NTFLa012XrsR4pS+k7a7S8xryjlWQXl2qyVe9mUt0vVR6bvDxNEuwE5g3rpbNFzZr7MezZF/jNUxPIz88nJCSEIUOGMHLkSB5//HEWLFjAzZs3Tefmw+2N2y7NCpCXl8eUqc+yLfsd7rp5VWe0jCk9wCVlJ9J6RhJDq7Y92fvGBPrMv2pqQIy9X68qNXlmEIxX0fbr8KxAmWpQC5eNad93Zw6QGmmq/pERonNFcIVdV+gr4I70YIRRmkUUGguIFGbfWaPlvKwFWc52Odr9FYZc6FipXRwEIcUIY72P0I87feOKrkOGSL8KCLKEmhIyKtOrhdVqpwh3qdba0k8CZvt9+eVXfPzZ51wrL6f8+nX2f1zEP06d5r333qNDB1cpFm/QFFMpjY1bQYBYtGgRhXv2smjpH9zuU19yQkM6LLhLl3rrbHrDVDX7XrUznvb35p6otXNqyYXQmjTqSxrtgEo6E1C7PIguPMEVdrc2WCB5eRrHxj/uQhYTkXhBsqiKTnSKxtcoG7Rq21OWvagwkklG5Nt1LRuNsldi7lXRiYwYtUyOqdqzNwL7UHr8KA/eWc35zw7y9nt7uCuiPzt27Kh3+7CmaBt8adaG47ZLswLExsZyR8s7eL/gPaJjHnLRXBJQdcvUOg3JpDSkSYMTh3k0IsaUqjuHT9RpCKdREDMki0zZP7u4lF1zujBiVE9paFSs+PQgdqeunIBw0HqkLJVjZS6ZqiNLCCOrSpO4g+gFa4ZL+3KlSDHUvAz67BkoHWbNSVaNt77492SRVZdmFfVveUdL5Ofh5wp18iUX9xfQY0A8g7bNJmGrpvPULaJKvhx07DmngxkX5i+JGjptKjf6dgJ1kacwwx13tGDgT/vKzyOH/pzn0l5i/fr1TJ8+3auxfWgcTJ48mUWLFnG6pISQ0NBGG9ebvxFP0TBvOz/UNo63c/EW4jzeOHRVTnKDak+Mot1m81afW9Aic8KWZh7QSijy331dN0a3CLvsxAM1qgOTsku0todjhsusgXDk1HmOyC4hLiwKlHeCmX0FV4cXkClXlVSnzgeQTmiPAfFs3/q8No+CLC4p+4zp2wv69tLu7ZBo4n9yD4+/+haFhYU89NBDLnPx4fbFbZdmBTh9+jSl587RqUsXl+9EinVVQihJXVvS+ZmndEbqZJFVJ4nRqm1PqUsHDWew7n1jAsfGP87El6dgLchi+LlCDs8KZOHnc7i4v0AaO2E4Vm6qInZIMuWXj1HdL5XtW5+XaYOY9DPEDklmZu90mfY0E+MUY2YumSq3iZ6r3aM6sLu8khC/NkywtXeblu07a7T8B5pYp1qwvKNTlNw+It9OswMZlKxYJO/nhvQtHlPTYj9AOn0ni6yUZe0k72gl7QbEs3jvVhbv3coEW3sZGQyKjJZt1tTj1566LvXmrAVZrGn9IcPPFZIycJRMAXlTT1jbS9ZTHZM7WCwWfh4dRc6O7V7t70Pj4eOPP8a/uZU2d3pXeqDqqQmItLo3v28z/TV3MGslZobGruPzFp6u2WyxLEgDxo4uoNm37bE2Ds8KZHusTdeiz6zOOHZIsvxZCIir0khCPmpVQqi0j4KJrwqj90hZKhfrKvFBnFP8LxZ+ZsguLtUY85uqpGbn9lgbRTkLdPu1GxDPmpyzPNovlqLBQzm+eJpLiYe1IEs652UBNr436GFiBg1k56Y3TM/tw+2L2zIyt2TJErp07ozN1hbAxUFKCK/RJVu1O4dLBVmsSnDKYyQ45TGODpPp2HFhVlnAm2l6xtohUrQi3bnODmucachVATZJNJhQOJTYvI2UBdhc+rtqjmSmJudBDVFjVUIoSzKUXoaF5wmK1F5EwkQKY7riU825OTR/M1Cjnq627gJX8oTKONNtcxIYEsI7wjmN4bo9xUafolTnirWKkhWLKFeuodpJUBBpDP1LQLvXk9AM7tXwkQRTJZtrA0x+ZbVO4uTSvlxWJSTKY4Q0CQBjShmOaxshcY1GqFpZUPcXpbcpqX73RzB11ot89dVXtGjRok7n8KH+SEtL46eR/bm7+jqBFeZr3drS6vV1nupSs+bpHI1Z76ZGm9yRMoxpWbOUrKiJa9c1nti8eCKcx1QpY3jSvFNJDGYInTKDosFD6R7VgeFO9nxQZDQrnWx/LSKHrquDcCZ1jmSFXcuIhJUibA1jSmFMms65Ez8ndVW6XjjnnBDekbyIkppIv9NZPFF4niInUWJVQhfKgMV7t8qMi+pUGhfb6r0Z8EBfUjNqZ8v6cHvhtozMLVq0iF/84heMGTmMV1euoKqqpj7ObJUs6iaEkRm0bbbLatFakEVCeEfTMLw3EI6c0YE4WWTVOTPr7Bc8aiqNGLWMHZ2ipFL79lgb9rlPMHFoZxlt2l1eKVd+4n/VIFdFJ8oI28yM8Uz/aBcTr/VnZu901vxqBT3X/1EnemkG1RiJrgygdXvIjxvL4VmBrEoI1aVPVKxKCMU+9wmWPBBDUteW8p9Iea9KCGXyGKsu4hZY/BaBxW/pjO6h+ZvlNZrV3RkxM2M8E2ztPRI8vo4i9jaBrQn7QTf2799/y8/lQw22bdtGu3bt+NnIMWx7xz3hRURKqqITXbqWNGYXh7riVkXhanMeVQh7Je6RiF66q/tTyQO1ncsdumdo0iRqba9KbDhZZGXitf6yXMLUkaPGGRf2Rv15TesP2R5rq9WOBDsdQuHUiixB96gOzoWlJjE1YtQymR0oC7BhS3udoMhone0UNcYq+vy/Xpwt/Tfnz3suf/HBPSwWy0MWi+W4xWIpt1gsWy0Wi4vop8ViGW+xWEosFss1i8Wyx2KxhH0Tc/UWtyUBQuBf//oXEyZMoEWLFmzevJlTpf8HuKbGRAi/Vduesrbh+OJp8iFVo1E7OkWZdndo5UGGpLpfKodnBZIfN5buUR1qonDOOjShNC4KhUFzKEbk292mJotyFsjxZvZO52SRla1+L7Im56ysUxHnUokJRojiX7O5vzmwQmc8xXxFPZ6A6Hlq1L0TBnVHpyidBhxoJIXh5wqdEcKa/q8DH1snU8pCNsYItRn27vJKFu/dalrUDcj9xDlE2nVh6np5n8S5G4L6qPsvXrmKO4I6sGDBgtp3NqApFjk3Nm6VXQD49NNPSUxM5KGHHmLaY4/SvLk+iSH0KMVCQvwtir+9urbu8tRVwpiidDe+u5o5Mw1Es+2e5uUtzBxZQSgCXETA1Xo1T8/Y2lPXTe2q2qUhxK8Ni/duZeBj67gaPpKCQXvZ0SlK17FHtYuqjfImNe3NPGsbS7ByxXxEjTToCXZi8SvKU4wR0gnP/YbHn5rE6NGeW46ZoSnahq+TAGGxWNoCJ4AngD3AauCcw+F4TtmnB3AYeAR4H3gOGOVwOPo0eIK3CLe1Mwdw48YNpk6dyocffsiiP/wPnTppXQnEAygYSaL4VYjNilZQM3unA7Cm9YeA9qD3mX/VhT7vibkq2FHbY21yZZgfN9ZFK27esF6agjiaUTIaBnW8t5+uKdgXxnP4uUJAn1IUzk6f+Vcla1R9WYj0pdk5Xrvnry7OnEgBq/dQsMTW5Jw1VUxXe6RG7xkIIKOeokhYOLFG4wzItCygcwgFO0ww41QjqbJqk6cvl/MQHSGMrbxqewHWhvqwED/95GNW/mEpn3zySZ3P1xQNdmPjVtoFALvdzqhRo2jevDlLU6fTJrC1/N0I52rlJu3vrrGcOU/7qSnMuqAuzlxjpYmN5xcLOkm8UuagslyNjHGj0oDA9libS/s90KJgwpataf2hFCIXrRq3+r0oHcpJ2SU6e1dbWttM8NnsGDGWeh/VFmiTskvkIlxtEymgOrnunLk/vrmNf/7fBV5//XXqiqZoG75mZ2488JjD4fgv5+cIINfhcNyl7PM0MNThcPzC+dkPqADaOxyOSybDfuO47Z05AIfDwdKlS3klM5O3/pRLs2bN3FLLVccLYOBj6wDYvvV56SgIh07dXxW6VGFMy4ruBYO2zXaRA7n54pu6SJyQIDE6dGqhreioYHwJiOji7J1HWPHpQUaMWib70qpOj5APWZUQqisyru6Xqus4IXq0CmdL7bIgujkcmr/ZxUFVa++EMyiiHqJ/qrHA3Cz6KTphqBFE1fk2jicMq1m/WJUkYkzDNCSN5S4S4+5le+PGDaIH9OPEiRO0b2/OFnaHpmiwGxu32i6A9jtITk7m/JnTrFqc4RIlUzuMuHO0GiJbY7ZfY6IukiXu4C3RQ+30YrbgE9Fws/SncV5m/WGFEyWcNKEVZ+xI0yNlKWtPXWflpirdAra2+RudObOIqXGeZlClV4x1wcaFgLt7cHjHBp5+bSdnz551+b42NEXb8DU7c78Hqh0Ox3Tn5wDgKyDQ4XBcc277HnCHw+EocX7+KfAeYHM4HE1S6O+2JEAYYbFYmDZtGhs2bODg/g+JHPAgZQE2ThZdRSTSJ4+xspJUgp3OziUnSWD77hzNUDmFK2sw0OU8gvGqrsSMUabyFYtgeRonCs/r0qygrUYjnMri784cQPL05UywbWbX7hwmZc/gZJGVXXO6kPJADKDVf2Uu3Ado9H1xfuFodYtIp3vOU9jnPsH2rTUaTZecjhwoEccKc4OtNquuik5kw6hlNLt8jHI05zfzACS8m4l9f4HOkVPTxiIFu85+ge6LpzE8MprhreHitgKOK+cS6ecQv/VUP/SaLvo5bowVeFQ6koB0ThPCu5DU1c7aU9edkgFRJDgdOZHGBX0rMjVC0BgF5e5elJ6Kym91w20faoefnx/Lli0jJCSEc//5P/xDbDICB3r5IneozWmrLWXqzd9ffaN2ZvMQtW7uFhliX096dEaUBdh0aU3j2O0GxHP6xnLW2YH5m+keVaCL4KnHqE6VtSDLpURE/E5EVxdB4lLLVJK6tiRhTk3E09P9M0qXiOvxhl1s9rsXZBBwdQSNjpy79Lv98AG+DYGYbwoWi+UpQFV+Xu1wOFY7f24DnBZfOByOCovFctO5/Zpz2/8pY40AVgEzm6ojBz5nTsJisfDss8+yY8d2Igc8CNToGTU7kMFKtJ5+ZcU9mcQwtsfG0z2qhjwg+o+C5tQ0W6hFscovH2Ocsx2ViLideKamTi0vosRFf2jlpip2KdpsfYGFqeu5tC9X9hJMvu+nMpJkn/sEC4ET+86z5AGtLm2CrT3//aq+QFY4jcLRKjkAJx96jRO9qyhzilYClKzYR+iUGaxp/SGH5m+m76zRjMjXG9/A4rcIejoacjRtt76zRjMxu8S0ti4m/QyTx8xjS0pLaaB0KYTdicQqrC+RBhY1dkandnArfyb6vUiPN5bqernmx43lcN5GRuQPk7VMJ4usZIeVal0hHpln+rtX+yq6Q2MXlrt7WYptwRV2Pj/yDzp37lznqJwPjYvAwEAee+wxdrz/Ib8c71oDrTp3DXWo3KG+CwpvjqvPuI0RLTSOseVAPvlxY9ldXklfp9Pl7rkTDt2h+Zvpvt/V8TNCFSb2Ro/PmCKFuhOfzFi+RvmV+tiVS/tyKdh7loFxUXU+tinj5p0hMgvWEFSdLcBx/fxqtFo4M9iBO8QHi8Xij+YLXVZ3slgs7YHXgAjgSYfD8acGT+4WwufMKRgzZgy/+93veP/P/8vPHvq5zjGRjtDlY5SvWOSU1kinZEiyLGJNSomvqWNTxk0I70hCuHOFFxkN6Os8zKA5QDUP6/SPEln4QAynb2gpQdUBEV0PBDKXTGVHpyjKTQqGjQgsfouSA04NJSWFW7JiEcwcUEOOyC7RkTjKLx+j3YAJwHq6R3WgKjqRk4brVu/dhuKeZCr3M3TKDE46o2hCWHOVsxvFpX25BEVqTqyx1m7esF5yjOPOKB7ApXNa/V/ffblAf13UbuWmkQzyQ7JhQftd5CvkCrG6v5VsQOGseRJaVbcdLDrMwIGuEV4fvn48//zzPPDAA0RFRfG973fV1ce5i9CYOQsN+fvy5HzU14n0xpm5Fed3F9lK2J1D97lPaAxPN/MQ3RlSBo7SFnuF0CPFZC7ntP8Gt/KXzp4quG50rMQ1qnDnyNVE18yjosb7pO6rm6MHmEXwRbnKscovSfTZhvqiGHhY+fxD4LjD4fhSbLBYLK2AfcB+IFykX5sybktpEne44447yM/PZ8mSJXyw531d2xgjmh3IoCxrp6zLEquu7OJSukVUyVq46n6pOrkTtWBXUNjV87Rq25NmBzK0FOXUueQdrSQhvCPWgixdbVnE7hxpYIwq6saiYE8wroTEvMX/h+Zv1tKwsTbGzXmU6n6pUij50r5cSRqYlF3itheqJyavSIUKTSax4o7eM5CJ1/rTI2UpE4d2loLFAkYK/8X9BQxu5S976wYnDpP/Jo+xsibnrDTMk7JLWHvquuzFqsKT8GldYDZOXaIrZQE29v7lbz5nrokgNDSUHTt2MHbsWEpOnQRUXUr3qUWomzCwCncOVV2PMzoFDXUojZ+9Hc+YMvXk0AixXKgRZhbPVFmA1hdV2AWVdJVdXMqk7BImZZfQbkA83aM60D2qg8f6O09wF40zcwTVcd2N7W1dnbhm9d/xxdNkWcixyi99tqH+eBt40GKxPOhktmYAmwz7JAL/djgcT3wbHDnwReZcEBISwqpVq/j19Ok8k5HJG8XuHREhkdEtoorgCrtM+a1KCIWE58kuLtUV3AM6aRHQjFbBINihiFKWG+RG1CJ90CJJO5yrQTOVthOF5xkeWcgGEydKOFY1RI5A1p5Kk8XAoiBXpHjX2S/AzguwU6P/bx3Wiz1z5mkCoBXxki0mGL9mCE4c5nJNav9b0Y7r0jnNKdvRKYrA4rc4yUhGYGd7ylKCInNNo2ciknVxf4Gsd9NFQvflcuiZzbx744qup23e0UqSurake1QHDs3fTKxBK0ygPimWxnAGHQ4Hf/m0iAf/uK7BY/nQOOjfvz/PPfcca1dlMm/REqDmb1FE6NxFXhrKhvYWxgWDMfrrDVu1tgJ84351WbQYSwmSurZ0YQgDzvIO1+dOvb89Upay5xGtk0tCeM35hG0RdXqX9uWyw8uImNn9qe3ZN/7OxRjG+yDGTeraUgoMC6hSV+p5VaavqP3r08LCl9VV/PCHP/Q4Lx/M4XA4LjoZrRuAYGAbsMBisYwD0h0Oxw+A3sAgZy2diu4Oh+M0TRC+yJwJ4uPjaeHvT/uyf8o6MhXV/VIJnTJDOnKi4Hb4uUKSurbEPvcJ2YrLyICqik4kes9A+sy/Sp/5V9nRKYqL+wukZtWqhFCSl6fJc8SF+euK9EF7sEW9xcX9BbLdlohcrbNfIHn6ctO5q47cmtYfkh83lkHbZsu2OcLgtBsQ7xLhC/Frw4nC81LxvM/8q4zIt5N3tNLUkavul0ry8jS2x9pMo5xxYf6SSdZuQLy8T8PPFcq5l2XtZES+nR2doohJPyOjamaRLxF9E4ZUrGR3l1eSuWQqMeln2JC+hbgwf43Esi9XSrSI9mPqqtpY9Owt1JeVCm8K4eW5j3yKzWajc+fO9ZqDD7cGzzzzDPv3fcBXJ4+YOkWqYDV4/hswi+DUFhn2xrlqKIznMKZDVUfFbD61RSTVCJvqPKk1ZLF5G9nRKUo+++0GxGMtyJICvtaCLMoCbKzcVKW75wnhHZk8xioXpQLCNovryS4uNZ17dnGptC/eQusTrf+9lwXYWHvqOpOyS1zun/G+XdqXiy3tdd09qYpO1NmfoMhoKeF0tPJLoh/+Bc2a+V7f9YXD4XjH4XB0dTgcrR0OxwSHw1HhcDg2OB05HA7HFIfD0czhcDQ3/GuSjhw0ojNnsVg+cNJ3xWdThWWLxdLMYrFsslgsFy0Wy68b6/yNCYvFwsyZM3nzjfWmat8ixSr+35C+RSp5A5KhKZwh9aGclF0iI1LifwER4Ru0bTYFg/ayPdZGUteW7C7XGwoxzoh8OzN7p7N471YmDu3MicLzus4FQj7FiKvhI9kea5PzW5NzluOLp7H21HX6zL9K7JBkIoa+wJ5H5slerBNs7XVsT3X+Zl0c8t/NpGDQXqltt2tOF51DJ9LIG9K3yGsZkW+X9257rE13f4Sel7FnohGH5m/W9cvsHtWBmRnjqYpOdLnf4nv1moypHNXJrAvqmyIDuHHjJi/9TyZPPGFkSH878V2yDTabjaeeeooNuVoHFHfMT4HGStt7g9qcK3ef3Y1V1/OoMHP23NUWGscKiow2HV/tViOeSfFMq46j6Nyg4tD8zeTHjZWdehoK4/jedJdxd9/M7Etwhd10e987rOy6M+A7Yxt8aDw0OM1qsVgeAoYBA5RtbYHN6BWW56KpKA8B/gEkAVstFsurTTEn/cgjj5CWlsbpI5+bfm9svLxyU5Xsx0enKJLy4smPG8vsnULDbD3TP9rFySJN0FLVNyoqPM+qtFAA8p39BdWomEpuCPFrw8ze6Tq9uYFZPRk3Zx7DIwvZnaqxS+cN60VZgBYRM+rbTR5j5dK+XHqkLGVNzihAM6BGmZTMqXPJm5LO9hT9C0tLJ18nLsxfHhM6ZYYU7A1OHIZ97hNSnHNtcSlJXc3vc/nlY6Bo+VXNSaS789q1HomPSudNSKqcLLJCAi7SIgLi3onuFu0GxFPmMl4pCdGJBFEjVmqUODASFrxxxuojQ2HEguUrueOOO3jhhRdq3bcp47tqG5577jl++MMfMvyXibQP1raVBdicqT7vJELc/Z14I1NS21iNDW802Dw5jN6mYY3XJsolrAVZ5D+jserLAmyynZ+1IIvtsfHOxZu+P3S7AfGyzEK1pYfmb6YvkOTsG+3N9dV2f41RQHX+qvyIN1BT19nFmo0SHTSqqh1sbHaRRx5J4uGHH65lJB9uNzRGzdwA5ziq0X0Y+NThcLwNYLFYFgK5aAbbgtb/vLnz5yYpltO8eXNSUlJ4++23CZ0yQ+c8CXKAmloMLH4LIrTUYEJ4R8qAiN054GzsfPrGFexzn2DXnBrGZruu8Ryf+4TGwhQyJE5tJDVaNMHWXrb3emFAJs1W6J2z8svHWLmpioQ5iUwcqsl6zOydDtklTB7jT6ZB+iSpa0vWEkVevp2JrfxZZ7/AwtT17Pookdgh+n1LViwiYoXGPhVQWxiJ+xEX5k9SbEtggtY71umQBqEZzkv7cjk8K56IobXfe7Eyn5Rd4tTOCyWm6Ix0+LpFVElHbnd5pYwY7s45q0UxnbImoDFiL+3LJViRJBCr6OAKOzhfAO2cxt2sxqU2B8wb6Qdvo3J/fHMbuz7Yz8cff4zVat639luE76Rt+N73vseYMWPI2vBHfvXr6TrR7vx3M2tNrxtRlxo2d99749DVV96kscY01pSJn1XIThGKAybZ7PM3ExGdKJ9fbSGn2Upb2us1TFUnExYg2FkuotpT1bkTDmB9WKburtudkLDZGO4+T8ouoSxrJ3mJmgxWdbWDeVtyaRV2b73a+/nw3UeDnTmHw5EGYLFY/kvZ3Butr5nA34DvWSyW1sAuYAJwCpjjcDjKGzqHW4Xx48fz0ksvkZsRzJ/C0mRLmGBnVC3vaKVpb9Ts4lI2pG/RCBIDMhny5yc5feOK1i1h509dGFinb1xhYep6qYUkeqYGRerH7TtrNM0WmrcEU3H2ldWUOGVJMtEcMbUlWVmAjbyjdk4WWYlwSgH0SFnK2uJSkpenmfZALMvaKTtZCNahHd2aAAAgAElEQVTqyk0aE1U4scJIn31lNWeBQdtmOx3TAqm6nrw8TdYHihegYLSKe5c0IJ61xaXyXJOyh9EtoqaweeHnc0jeeUTXgqsswMbgQs1x3l3eRurTqYY7u5Nel8nMyapr3VFd2Km1jb82603WbdtBYWEhQUFBdZpHU8R32Tb85je/ISIigqVLFhNYvAwxUdE2T21NZRbdbWzHyhNpoTbnw92xdU3HeiJEeBrb+ExI0pWCEL82rLNfoG9BloxWyQVbZDSuBRQ151FZ7wJqFA8lIl+XdmzG6zITMHZ3jBncka2qq6uZ8+Y7/MfSkrw//cmlT7APPkAjtvOyWCwlwC8dDsdBi8WyBjjtcDjmKd/fAEIcDodXcWeDgnPEN6V2/fvf/55Dhw6xLPU3kq0qYPbQlwW49ksNnTKDhZ/PYfbOIzXRNef31f1SpbMnoDopgNRTAljx6UHZCqYsa6fu3Nu3Pg+ga7slIJwo4YSK1a2ZQ6o6XAK75nSRq8Wr4SN1rbNEf0F1TuWXj5H/biZFg4cSm7eREfl2OZ5Z31oBlVErInNq1KPIGelU75Hohbv3jQmy6fYEW3vdalw4k+K6zPrQNgbcOW2eXl4Ar76Rxcad77B7925CQkIaPI+m1LKnMW1DU7ELAOPGjSMsLIwJQ2PoM/+qjFQLAWtjM/evE8a/t68rcmd0cMzGNNbOGZ9B1d6pENqaVdGJBFfY5T02K5Ewm5OAN2nfujy/xme+LjIoZiSrdgqzvt31izw7OZmLfoHk5uYSGBjosn9d0ZRsg4DFYvlRi5Ahf2vTd2aDx7r0XjI3Lh1tUtf3daBWF99isaQCc0y+Wu9wOJ50c5gdLxSWPcHZemO18/hvzGI//fTTLFmyhCMjE0jq2UPXNxRqmsjL1Z8HozLB1p6zr6ymmRL5anYgg+kf7ZJSIKoEiXAehdOy9tR1igYPZVBUB4ZHRlO19XnpYIHmxFX3S3XLahFzFv9r9W6ukcXMqXMpylnApdYKE9eDw6M5Z4/Kz8LJyy4uZVBUB9aeuk7JikU0Q3P8jM6gqLMTzp4wfHFh/qwsqllzB1fYpSM3uJW/k4k6jclj5pF3dJjsIGGGS/tywRmZE5088hKHkRDu9pB6oa6aW8EVdl5Zt4E3c/J4//336dKlS+NO6Bbim7ANTcUuAKSmpvLggw8yfGA/ds3Rfm+CJVlbR5GmhsaIGKp/+7VFA80g9p3+0S7TercgpSuEcIJkV4daxvU0H2MZRn3g7rmvLRKnixAq2wHa9Ytl2otzsbewkZeTQ6tWreo9Px+++6jVmXM4HBloonp1Qa0Ky98WtG7dmtTUVP6wfhPzf7cM0BwsUUSfpLAdRZ0XBvW3uDB/glpHExQJL2yqcnG2RKErQOYSrRYkKDJaFv4Pj4ymz/yrNDuQQfIrq+l7rlBqpp0sstLMpFOFEYINOnmMlYTwji7RQyNG5NvpnrGe0zeWS5Fi0au2W0SV7BqhYnusjT5FI+W4eUcrGa5ch4Dx+PLLxwiWc+si+94m5W0kL8JOmVPr79K+XB1bF7R6GnIepzsw27maD/Fro4vKCSSEd2TlJq1LhTjn1wV3Rn35a39ke/67vP/++986GZLb3TaEh4fz8MMP80beezw6boIu4iQjRbdIV662OkzVKfMmverNOGbHeiofMGOyGmvI1Do6dT8AOkWRkJboci5hHyS5qRYnzFPqVK2bFdfqDRNd3c/bBZwxCqdrLeasKxbO650PRPFc2kvYv6okNzeXli1benUOH25f3Krk+9vAEovF8iBaTYyZwvK3Bk8//TTLli3j008+JuH+n6AylFTGY0z6GcDqdFa071u17UlCeEcmHu1PXJg/u+Z0dCEZ6Ho7RicS63ywRbqxXYWNbtc0pwZg4rX+lI1apvWN9fIahIOVeQCSchZ4dORAc0CFu7XOfoHuc5/g8KyljMgfZlonmBDekUsFWUweE6UjXCxMXc+qjxIZkaU5ZN0iqlyOb9W2J6sSQjVtOCcLdnd5Jd0XT2N7ylLKnALMh555StftQvRuVSGidu4gfjeCxNIYMHuheVMj978570hHrmPHW9PTswniO2Ubfvvb33LvvfcSFftz6ZhoCzoN4u+6PqgtNV8bPEXZ6kK6qM84xv1VJ05thWaE8bvgCk0vMigyWmY9Lu4vkI6cN1AdObP6xVvFBpaakSZOnLrNGGk8NH8z7x1+nS86hvPOO+/4HDkfvMItUR10OBwXAaGwfAY4D3xrKTgBAQHMmTOHlUsW4nA4TNXdNUdOw8kiK6FTZhA6ZQbj5jxKTPoZyrJ2snKTpiMnRIFBSzuKFKsKUTitphzNRIDrg4ihNZIXycvTTB2bhPCOzMwYT+aSqcwb1ovZO4/IejQjxLzaDYhnQ/oWub1kxSKmf7SLJQ/EyFZg7o4PrtA6aOx5ZB5V0Yks3ruVE4XnyY8bK7WjYvM20nfWaLcpLFFHJ+po1Hqli/sLCK6wExfmr7ted+KhnqDqRdX3RdDK/m9eeXkZ69evv50cue+cbejSpQsTJkxg9SsrXb4rWbFI2gVV+9AbeKMNZyQUmP1T4YkkYTZ2Y2vkqef3xBo1+05Nt/ZIWVqrI6fqzpmRnDw5s2b33tN9VSGEgo1zd9diUcxD1bQMuD+QXee/YuPGjT5Hzgev0WiROYfDEWr4/A7wTmON/01jzJgxLFmyhNPH/kFoWC/ddyJl2aptT8bN0WrHEsK1GpoRo5bR7PIxytFqw8oCnifvqF1jZ6IRBzinMT+DIqO5uK0Aq6Gg11qQRdKAeKUXJGSHPapznASJQBARzKJnRlT3SyWpa0s2GLaHTpmhrWCjEzUSwo2BLLAlaxG6jKcoC4mT51QJC33mX9WlfEGr48v/aBf2uU+QNEtrrVP1bqYkNwCsSujCQGekESDP2fkiYXcOwRV2SZ7QzqWlXbpHFbBu5xHduUREThREizoa0QZncOFYeGW1PM/VIiuE1XqbPKI+tTIAm3a9T//+/enXr1/DJvAtwHfdNrzwwguEhYXx2PgJhHTtyqqEUEaMWgaIiPgC+TKvjwA13Po2YJ5QGznAG3hTi2eWii0LsMlF2aWCLJma9BQ59CZC7g0L1902dygLsLFy01UCi3cyiWFStF1E20Dv0Kk1c+p5dviF8Otfj+Cuu+7y+tw++ODjOHsJq9XKggULSElJ4Y2t2+V2o5HIO1rJ9lgbl5zRtuDEYeAkKAiHSxAWAtHkPZJm1dTdafVyegMlVnYqxX44WmhD9IcVTlzeUadsilMXTjhMZmlVjbgwQfZOFW2+ViWEQoWd7OJSSVxY86sVLPxcq3Wfnva8/vor7EQMfYFm1PR+VZFdXMqxnLOQo7HU5g0rYCHQY9ZSaZivho+UDrEK4cgFFr9F3BjNUVbbcLmD+L0UFZ6XbXBOFJ5n0LbZrOz3ElBTP1hX1LVI3PhC+Zv9K15++WWKiorqfG4fmh6CgoKYNm0aWX98jWWpvwE0ZvmIUcsITtSIObOdC4/MyNxaHbrGICAYx6ktHeqtg+bNfp7KDmqD8Xk0q3fzpqatLvOtz74q1GvrFlHFSUYyLkyzu6IOTshNadCcuqDIaJ3AMcCBTz6lqKiIjRs31msuPty+8DlzdcDPf/5zFi1axDtv7+S/RzjlNCrsuhq5k0VWRmBnVYIWWVsF4Kz5As04GZ0d1RiI7g/tBsTLY4ZHRutC9ScKzxObt5HyhVq6NLD4LfKO1rBBCatRJc8Oc2remVxP+eVjlAXY2B4La8PSZO/CtU4DmndUMcZZO7FtfR1rQZZsWp3UtaXWxFrRbxMOq3AehXM22ClOLObfPaqDZJ8WFZ5n1+4cJmXP0LXFEdevSpkEV9i5ZHItAicKz3OiUNO2C4qMJjZPM4paiksTVD6cF6h9Pgftupq/WL0pMPd0jLvjHQ4HSxZkMHHiREJDQz1ciQ/fJvzqV7+iZ8+e/OVvP+fe/9eL4Ao7e9/QBLRPKPstTF3PzIy6R+jMdOrqc7y7bY2huehuzLo6cu7q6czumSdn1NgXW4WneYnj6uNUr0oIhYSaOjhVbzAoMtc03SrS719W3mDGnD+w4JW13HHHHS77+eCDJzSaztythMVicTSVeRYVFREfH8+7mzdQfbfWo0qkAs26RIA+HTkpu0S3X3W/VA7PqtEOyo8bC2iNpvvMvwpoEaSkri1rCoHRonVP/vUeKQSsCu9KR04RLzZDdb9UCgbtlS2xInbnyPSn0GETAsKhU2bItIGQTBHOn9k2VcJl+LlCKbkyb1gvXS3b8cXTpHMn0ylKbVG7AfGMyNcM9fZYmzS0+XFjpXMINRpU4t4IKZeVm7TWadtjbfJcu8srZbQO0EU8jUa8sdNbv89czb7Dn/P+++/fUoPdFLWkGhtNyS4AbNiwgWXLlvH2mlewt26vCWA7NecE1tkvMG9YL5e/ORWenBBv0VjRva/zvGUBNqmhKTQgzRy7urJH2w2IZ+2p6zpShXGuZlFNb7pCuEvxqjZMLZkR+nhq55qgyGhskXFMmDCBu+6JYMOGDVgst+7RbYq2wacz13DcEgLEdxkRERGMGzeOBWv+qNu+PdYmHTijIwcagSG7uNRF6FdAFEiLAn/VQGROncvAx9Yx6sZLOiMfnDhMdy4R1YpJPyMNkSrIa0Rg8VtE7xnICwMyyWgfLccQjlxS15a0attTtusyFnGrPyd1bSkdzvy4sQzaNpvtsTaSuraUcxZ9ZUfka2SHtaeuY0t7XTph4tiFqes5NH8zC1PXc2lfLnFh/sSF+ZMfN1a3sp1ga0+IXxvmDeulI0WIF2VCeEfp4KpzHdzKn6DIaJ1jDN5HS+pbHL49N48df36PP/3pT76V93cQjz32GB06dGDze3t027tHdWB3eaXsWLAm56zu71h9rkQ7q+OLp9WJMNFYaAjxwVthYm9Tou4idJ7Or85BZDMu7ct1qcMzns+buQub6uk48bkqOpGq6ERTm9I9qgOnb1xhnf2CrOdNT5lGRZv2rF279pY6cj58d+GLzNUD169fp3fv3qT96hnuHfILl4fbqHAOmmMhBH5FpEwQJjo/85Rs76UaMLPImojkCaMxKbvEIAKcodtXiJnWpisnkLw8jUHbZst+iEM27QA0goYxgnZ88TQZARMQrYwAbGmvy+32uU8A8Mu9AXJuqtMoohHHF0+TBk4VSwY4Nv5xQHPGRPpUzEHAXVGxaFYNeGzvUxu8LQZXowLnL1xgxesb+NO7BRQWFvKjH/3Iq3M1BE1x9d3YaGp2AaCkpIT777+fHa+t4s6wH8t028LU9aZdDdQo3cX9BbK2DmqizfX522wM2Q1vGZ91SaXWFlUz2k8zZ642TTtxz0WPayksrNhXd/fHnaOmRunqSuZQxxSp1xOF51lnv0CbZi34R+UXWEPu5uDBg19LG7+maBt8kbmGwxeZqwdatmzJmjVrmLngd1y7VtND/NK+XOxznyAhvKPLPzOIqFnfWaNZe+o6MelnyJw6VzLh1H0EAovfos/8q8QOSSYm/QyrEkIZfq7QdPxmBzKIHZLMpOwSds3pQuiUGbroYXW/VBfCQebUuczsnS6ZocPPFTL8XCGzdx5hnf2CjnhgS3udEfl2Vm6qchEG7pGylEnZJcSknyEm/Qw9UpayJucs1f1SJWFjVUKojObt6BRFn/lX2fPIPF0KFGqifoB8IY7It8s0tIqq6ETWnrquW32bSb9AjRxAXVCXNJR4gby6YRMXr3/Frl27vhZHzodvDqGhoaSnp5MyZz5BX2rVne0GxLv8TU+wtQdg9s4jLExdT/L05TpHDrSUbPL05aQMHFXv+XiS6KgNqvyOp2hdXclA7qQ/BOpLSlLHazcgXi483dXamdUJGp1C8b1ZqtfT/VTtflmAjbWnruscORGl3f/leeKfnkBBQcF3oh+zD98cfM5cPREVFcXgqCg2rl8nt7UbEK+LRmUXl+r+gXnac0enKPKOVuoK/UeMWkbe0Uq6RVTpHK7yy8fkfsYep8bPAieLrC7RwqvhI9nq9yJ735hguj9oaVGR8hQQRkhcn2CaGlEWYNP1YhV1b4dnBXJ4ViDDzxViLciSJAhx/XlHK+mRslTXm/bSvlzy48YyuJW/bIkmxg6KjJbGUoXxetsNiKdHylJsaa+bOnGNLRwqHLkbN26w88/vsnDhQu69995GPYcPTROTJ0/my5vV7Hp/r9zWI2WpLAswwixiZ/zencZjXdFQ4kR9nhNxTvWZNHMQjQ6dJwfKLAVtvDZhP2pLG3t7T4zdKjxBHVO9brEYHtzKn4TAO2lma8PixYv5/ve/79UcfPDBHXxs1gbgs88+Y8akJMC8HY0xWhUX5g9hkBcxw/nZKtOvJ4us4JTnEGnV8hWLtCjWnEdlurW6XypX0aJuV8NHkl1cynA0Q5OXOEzXokqkXzekbyFzqnZsN+c+qxK6YJ+rpSmLcpZKZ2tVQihFg4cCNQzUdfaaSALAo/1i2XIg3+lsAhHDtI4R4x9nofO42BRXAzn9o13kO8eO2J0DgC06UaZgQXMkyxJsMvVUFmAjeEA8fWdp31dFJ3K2uFTWwol7vnJTFYy5DtQQL6wFWeQ72/7UOHvXdakPkZZd66Y+x50MgsrU8/QyKPr4ECEhIYSFNVDQzodvDa5fv86pU6f4f+H633ls3kZiQSdVYsQEW3vTziaAdOgm2NrLMgNPaOwFirfjGlOYZQG2Ghs3ptRtqtLdNjGGLmrmgaVqNkeRXnXX1st4vIDZtXpb8+cS1Tun/SdS56++kcXwL8p99bM+NAp8kbkGoFevXhw/VeKyXThxqsyG+Fk4Gmp6NC7MXxMPNkGzAxnkHa1k3JxHCZ0yg8ljNKapqDmDmu4GNSK8oTKFCVoUrlXbnjQ7kEHJikWUrFhE7JBknvzrPTKSuD3WxprWH2ItyKLvrNHE5m0kYncO84b1ktGE7lEd6DtrNJlLprpEwtQ06Dr7BS7tyyWw+C0Ci9+S0ciY9DPSiTNie6yN4MRhTB5jJbjCzsX9BZQFaJ011p66LiNpKttNvb/dIrRU74b0LZSsWMSG9C3s6BQlpV7MHDWRjgFcmG7Gn43wRiIiuMJORUUFwcFfZxdYH75ptGzZkk6dOnHy9L/c7jNvmF54PMSvDSs+PUhG+2jefeg1j+Ovs1/g0X6xMqotUN90qnq82Xh1hTtnT12AeSvQaxZVq8+cjO3B1MheXaJ23p5bnbd6H9V+shdvNvPZBh8aDT5nrgFIT09n1fo3+FeVay9Q4dCtSgiVrM68o5U1WnBoUSbhnHiqEylZsYiVm2rIAttjbeya00U6MyJ0H1j8FieLrLJWTUTbukVUmcqTlF8+JvdTHSa1WHjPI/OYmTEeQBYSC6q9ei1lATa5nxGTx1hlOja7uJS+s0az5IEY+f2JwvOkDBzFws/n0PmZp0gZOIo1OWfJLi4lsPgtVm6q0s1PnFc4kAnhHbWInkIuAS0iueeReQRFRmMtyHKpYxG4tC9XZ3Ab8kI04nvWm1y/fr32HX34zsBqtZKens7vMldjRtDokbKUHilLyVwyFdAibdM/2kVM+hmt3/KBDFZ8epAhm3Zw88U33Z5n9s4jpAwc5Zb1Wh/B3LoI8no7JugXtg2BJ8JRbexfQYwQdgzqxsCtiyNnNj+hHyq+b9GiBV9++aVXY/rgQ23wsVkbiFGjRtGiVWumpcyUlHJP+kTCeQPNwK3cVEVg8Vts3/o8RYOHsuZXK7QODh5aciUvT5NjnCyystXvRYIio5l4rb+LQ5O8PM2t1lzy8jSpIydICcPPFUqDo7bcGvLnJ3V1bEJHTkDoQhUNHir13zKXTJUM0j2PzJPdMVIGap0gVnx6ENCYrrN3HiHEr41ML80b1os9j8yTLcuuho/k8KxAqbUnxhXzGZFv18m+GBnAgtUroKZIxZgN1fYCV9mDTz77nAWZazlw4ECDx64LmiJjrbHRlO1CVVUV99xzDxN/+QiPJgyV29VyDLMyDBF1Fs8laGSlu/+5BU/IXDLVbR2oNxIc7vapjTnqDmbpTm+lRoz7Ge2pO4FgwK2TZnZ9ntK6DYXx3gtnDjSbVRZg460tb3K+9Cyvvvpqo5zTWzRF2+BjszYcvshcA/Hyyy9z7B9HmP7cs1wvLye4QmsK785oqUK7AiqrVUTx3MHIPgWY2Ttd14XBCHeiweI8YsyE8I60GxCvW+F2i9BEd0/fuMKanLMyRWG8vg3pW4hJP8PZV1bLFFLy9OWsyTlLj5SlrNxUxckiK5f25TJxaGddxCEoMprMJVOZmTGezCVTXVJQAqLWSGX+iRX59lgbV8NHuhBMWrXtSbeIKrcRh1ut5dUioIUvMncbwmq1snnzZl5+fT0L/mclVVVVtR/kAceGbmPLgXzmDevFvGG9XCJ2ydOXu/wtexNNMtvHUySqrsxVFfVhqXozLrhnpgvymTHtKdDYouDquJ6iiMEVdtpbq3y2wYdGg8+ZayDuvvtu9uzZQ0iXzkx4dATHTpwEPPdCXJUQKtMOk8dYZZ2YiIipTFAjVBFiqKlDEav84MRhVPdLJXTKDF0Ezwx95l+lKGcBr93zVw7PCpRzVgVN48L8Wfj5HCbY2kuHTrBb1TmK9NDKTVXY0l6XhImJQzuz9tR1mh3IoNmBDKqiExl14yVZtwfI1O2OTlHs6BTFnkfmuVyzWm8jIBw7IbJ6eFagdi+dYsqiM4boiGEtyHKRKtHa7HgXlfM2laP+7u+4I8BnsG9T/PjHP+bjjz/mSMkZxk19nrKLF3VF8cbU48pNVZSsWETm1LkkL08jeXkaUPNsDXxsHTN7p/PLvQGUrFjEP4P61HlO7qRKvKlXa4gjV9tcVIjOD0ZGupENW9vYgLNfdaU81ujQedPtxRs5FXcQ+1zcX8CanLM6aac7fGlWHxoRPjZrIyAgIIA1a9awdu1aRiRNYsywBH418QmCcW90jKvUMlyNiYiYqdEmzakRDeJLTVOdojcguDJqVTQ7kEHEUKju9xK7AmySVdojZSlU2GvGS3ud2BQ7ffflkjx9Od2jtN6TQvQXYINzrsHOKFjfWaNZ54zMTU/ryIa2PSm/fMxtimTStf6UrFgkr3n409EMP1foZOhqjtyeR+aRGVnTGgy0dKwwkGUBNhLCbSSEQ3bYo/I+WwuyPPZz9daRE30W64I7/j97Zx5XVZk//vcDCirqIIjllpqJtJhfx6nUTAdJg9GJXNKS0iwpLZ2ZbETDpXJPZ+w3o4ajjo7mkuZGaZCGpKPSRo5jOaCimLu4kIgKeDm/P859Dude7saigDzv1+u+4J7znHOec+B+7uf5rLWUZa46ExQUxBdffME777xDjwHP89Zr0bz4bD8u1Qk0PsMGbWFFmr4AcRZmYb/tSGAHpltOsCz7ghGTVR7YK3FS6XLkonSXmeosw9RRgoCjLFRwXOfN1Zzlfkexep4ocI7G2meuu6tRJ+OOpQdEtu+Si+WbRw8r2aAoN5RlrpwQQhAdHc2PPx3k1JmzhPZ7ji+SdzoMgHaFFGzbpjRnw7o3OfLfD9k2pblhmTqa6s2C1RZGxGcWW90Pb1XHSH6Q7lBn7cPMyMSEwC5hNt0UzO5eKaiG+TfEf9JSw8I4vFUdun8ykaCovgRF9TWsYIARA5c99WUjo/bw7DFG5q5fg2C8k1bZ1LGTLmFLWBSzYpezuO4em7kGdO1tZNeas2wDu4TZtNvpdyqZ4a3qkNqjj8Pm1vKePLU2lLTVl8Tby5uCggKPjlXcmdSoUYPp06ez69+7+Wz7l/R5cRinUvcCRfXU5GvIlEHc29Hi0DJvHy5x5sSXAJz8cBGgJxJ5EjZgX+PN2U9HOHMfOlJsPE0aKIly5ck5RsRnGtn2jmLvygNPSpjY75NySsb8eguhZIOi3FCWuXKmcePGbPw8kR07dvD6669zV/znjJswkf8Lqgd49qE3r4L3px2mfUgbFietYuPgUCMwOistmF6pA4xOCgD94zPJnP8+XsDOedP09l6Xi1p4yfZhMulCkhMygOGt6tBhdTfYmcMbg70Ni5b9V0rHHVuMDhW7PhpmNBHfEONvrEQjQ5rgTVEx1ImbDpI0ZxcBE4bptbI29WO6f0OWHdnHyLH6eSPa+hBnnWNQVF8Axs8YyqzY5Sz8JqooKDovm+g+zVi85aTRpUK6SSNNX0bxTUNJSMxmQ8JK6xx1q5qjLzt3teIk7qxy8v6hqI1PRuZx2rRp4/bcijufBx98kL3fpbJy5Upe+XMMvZ54nOFvjaf+r35ljNGVOohve5oFxBZrwddy1DjDOnffw69z5sSXPFFH7xywLPsCy8bOY1rfJJtFmT32ljT7Wm6OLG2efEYcHecKTxrZO9vvzCooC5kvSLXA4OJJJmCbXOHuvhxZGO2vbz9OWuOC8rINOZqRfN5o2QgQCOyM/ZD7Bvd3ee8Khacoy9wtokePHuzfv5+nej7JkOcGsvSzL7jmID7CkyDj/WmHeeiNd+l3KtmIBQPdohY3eioj4jMBXSGSLbqGt6pjYwEbOW8S/2x3gO2D+zFz90h2fTSMIVMGGbXd+idmG3FtC1brVkDZLDr66uP0nLWbnrN202vyCUBXAC/t3sqO3HyWZV8gpttAQ3jJOnESaUG7tHur8bvMeJVIoStj3ILysrGERRG8/F9GUolMWPCftJTZu9YRnrDSprhw/4Ef0H/gB0ZbtMz57+utzxJW2sSqyPGO4nKcYa8EOrPq2Zc/+fboSR5++GGPrqG48xFC8OKLL3Lw4EH8GjZi4DO/54eU3TYJEvJz9MZgb1qOGlfsHInb4wwZcNfAHfz72kWb/RM3HTT+X53FebqLmXNnVfMkls6dYudJQkRpkiZk0pZZkTua6m3j1SgJrpJEXM350u6tRk/o8ISVLDl2zUbefHv9upINinJDKXO3EF9fX2JjY/nuu+/Yv38/T/grhpYAACAASURBVPQdxMYlC2yCXj1dyUqFTipgOSEDDLeLbNeVkJ7PG4O9jRZdw1vVIXXLTDa/1ohDQ18yMkBl0dHun0w0rHrmWBzpdgV9lWneZ7YUXNybZFjfjhdcIabbQKNFl7nCvbSgSeVs/g9f23SUkPcgkbF7UinrMD3HUJ6irz5uuFFk0d+Arr0ZEZ9J7uVDRrC4+V6WHLvGoxOeL/ZMjaQRJ3F88nV49hi+nb7GbUySo/McTk+nffv2To9RVE8aNGjAhx9+yKeffsrSpUsZ3P8ZPt/yGRaLxZAJkSFNWBjZkpHzJtlksZv/z+qlree+h18vptDJpKCLe5O4uDep1FnbrurPmXG2uLG3ANq/5CLN/ppyUeRqseVoTsNb1bFJMDMji5hLzJmu5Yl5XjLBCorHL9eoh5INinJDuVlvA61ateKTTz5h//79vPfeeyzuHc7IFwfz1OCX8PX1BYq7CxwJmP1phwFrPSryyUrTkwr0VWjRyt4suGUWlSMmbjrINF4Gu+xRKEocGN61t5G8YOaNwd5MHFyksEmL28ix82hRsz7D/Bsa1rdl2RcI79qbjtbs1TgA7+aMXK3H+nT/ZCKLt7zC2G+2GYqcfg/dAGtv14F2MUPzJhmJDZawKI6m5jhdmSSk5xMZGWVksQZ07W2b4GESvvLZmS2L9lY9cO5ysQ/kPnQojbFvvelkZorqziOPPMKuXbtISkpi8uTJfLR0CS9Fv0bPp8Lx8tL/o2WrPqzxr/0Ts41wCblwadz8STBlt4ZvmWnbz3XTQVrUXM7sXesczsMsfzztzuDuPPK9O5yd27ygNLfhcpWU4OiaUl7SsS9HU70Z0tbbps5fZIgHN2Y3V/NcHCm8l3ZvxRIWRf/4TCLahjIcbLLqLYWF/Hw1j4ceesjziysULlCWudtI+/bt2bhxI1u2bOG7/x3i9089ycerVpKfn1/i1WFEWx+CovrSctQ4m9ZW0sQvy3z4T1pKdJ9mAA4bfU/cdLCYKyMnZAAj4jMNK5SMYTPvl63IJD38fIju08ywuO3ItV2F2rf/Agx3bmCXMI4XXGHUrzsZitPFvUlG0oej2nH2OCpdAroCaJ8BKBU2s+tWvsyWt4zk8w4VOU+5efMmRzMyaNeuXanPobjzEULw5JNPsmfPHj744AM2fLyagc88zZfbvqCwsBAo+rxL4kZPLRZPZ8bR5+14wRVbBc8OTxMW3OGqTl1Zzml/folZCZUvmRy2MLKlYeF01DaxtJ0pXCVPZfn6G11yzNtkWaSLe5M4fv4SdzdtRv369R2eQ6EoKaoDRAXy3Xff8e677/LDvn0sWf4RHRrVd1uh3RxkK5GrVqmkbGwayoLVFkPB2RDurxfrvfq4YY2a81gvjhdcMZS76D7NjI4LuZcPGckSUtEzx+XJ65m/GGShX5mptXjLScMF26JmfbY/9U+HXz4tR41jcd09zIpdbjO+h58P4QkrjZZkUOSKlQkaoLtk/SctdVhR39wNY+S8ScUUULC1wJnrzV3avdUmy7Z1aKNiY4zrOAiQBsg4fpwhfxzLsWPHil33VlMZq7yXN3eqXNA0jc8//5zYmD9zU9Rg6crV1KpVy/gft1+cmBc38v+9sHMswVueBYo+T+Y41bUpiU6TIEqayGDGUwXOVVkTZ+d0Nl9Pz2PGLD9dFWkHXTF2Zhm0n499ZxxpjTMSw6zKXFbfP/LRRx8RHx/v8ZzLi8ooG1QHiLKj3KwVyCOPPMLWrVsZNmwY/9mRSIfnBjoNSrZ3JxSrU+frD9bVYEJ8Jl4p75OVpmeGDuocritbDz/Oislribt8iJaxi1hcd4/RH3Z8ej5ZprZf8qcUkrLVUEJ6PgtWn+DejhaiTa7UjOTzRg2ljOTzxRTFrw+sJ9fBMzia6g3dsWnjZc4aldc9muptKKcLVkNCx0ybMihmpMLZK3WAoUAuWG2hX/fi7lOppGUknyewS9E5Arr2pnVoUrGsWXm8R7XptJo88IDjbhYKhTOEEPTu3Zvf/e53PNTuYX46cICOjzxi1KVb0Nk2y9VRh5d6aetZm5Jo1Ee0tzBf2r2VXju7cW9HCwsjW5aolIgzSlKzzZVi5Oic7saVVPm0yWh1ck0oahO4IGQA26Y0d3mPS45dK9YesVg9vrAodjYNhf/uVLJBUa4oN2slYODAgXyweBl/X7KMG3l5LsfaBxC7I/pvowCMuDkp+DPnv0/01cddHhsZ0oRBncPJnvqyy+LDoLtV5RdG69BGNu5cVyU9vFJmELazG9P6PqC39Hp4MmE7u9nMQRLR1oejqd54pcwga9UmRsRnEtglzKPncG9HC5awKAK7hDl1n3oSKO7IMufsb/Hll1+qmBhFqRFC8MrLw5jw1p9I/mQlgdcvMbxVHbZNae4wy9VM7uVDdOzzNj1n7WZgwXsOE4DMmBMBSmuVM7s5Hb1KSmkVS3mcTHAoSX250iREuMpqdRQHXVhYyI4dO5RsUJQrys1aScjIyGDs2LF8/83XTHzzDzzaux9CFFmKHbkVzO+heFHM4a3qcHj2GON9YJcwnvnH+WJN6B3Fmy2MbElqjz4sy77A2pREOkzPMfbd29HChnB/EiNeMCxzw/wb2nxhmK0BrUMbMf7hyUYBY0eWBNl6S1ocWo4aZ1jezPcqW4DJMYvr7uHi3qK6WubnI4OQ7V3E0tWxeMtJI57QPFeJVIClZa51aCOX9bvMJO74ivf+33y+++47GjVq5P6AcqYyulLKm+ogFwC+/vprXn81mkKLhffGjqFlp+6A/nmXliB3+DUIpvGRtTbb1qYkAvpnZkR8ZlFCkAscJTg4Un6MupAujrXf5q6mm/12R/vt5wB6ApS9u9PRHOxDVxzdi7tiwfFpp1mw2mLE5iWk5xtxeXJBXPs/ayg4eZikpCR8fEoXs1cWKqNsUG7WsqPcrJWE1q1bs3HjRpKTk3lh8PO8F9SURx7rBDgWgma3iLN6Z1noLbCkUhfQtTcbwvR6bI4UKnMShcwqjZszGihKMIho68PwVvUMRW6Yf0M67tgCgAVs+p7KiucBXXuzAVhibbEl3ab2riL53q9BMFmrNtF/lZ78sG9CPWK6DXSYiVekNOpKq7yeLBzcrEcfFk94no1NQwGsX1qhRE6KYnyXVTZu1x25+WBV6nbk5huu32VW+T0Nx0qZoy+g1ZvimTNnToUocoo7i06dOvH9f/azZs0aXhzxGpsTthPYUE80KuxcvLCwI3IvH6Ln6o1sH9zP2HZ49hjaxMwlyJrZDe5jzzzNVHVV6NfVNmedJOTvjq7vbs7ukhzMpWAcKXvOigw7rTM5Rf/dmUXw8O7tfPnllxWiyCnuXJQyV8kIDQ0lsm8/zv5vP0H/5zpn3j7Oxb4ukwyYTkjP52jBe7xx7BpwjSFTBhkKlUTGpgEkpGcS8ew0Iic1IcB67g3huuC6tHsrMUOLkhUenfA8G02V3AO69raxBpoTCrpbFa/FE54nuuPjHCWWemnriymWQVF9jSBvvcF4MLt2rdM7OXg3t5nzzrbT4FnoaE3q6JG8hpMfhpKQbv1S+ON8mD6KfhMwFDr9Pk/Tj+LILFy9j6Le91VaHxdvOcnsGPd/D4DTFy6pmBhFueHl5UVUVBQffvghx44eNZS5eztajBJF7ogbPZUwa4s9e2QSQElcjK7GOlKKXOFpgWJ3x5vHOrq+TGSw92jIsZ7M2dOOMYaMbWstL5OeyarQ2jzwThb33Xef2+MVipKglLlKSHBwMP/9Zm+p4kyKJUZYMzq9gLgUfSWv421jbZPCRrpCV1hfQVF9jWxYc3KDZFbscsbP0C1k2UCqNalAJgtIxS4j+Tw7cvPp4efDxqahZE1eSz3rOQo7Fyl1I+dNAqy16KzkXj5Eh+k57EtYSTh6UPLCyJaMsLYvk+O3zxiqu0/tKr8v/uN8dsS+yvgZEBlpKhlwSv+hx/QlscPqVo3u04w2MXN1t25MNju6DTTu2RxTZ5RusRPshYWFHD16lFatWjn9OykUpSE4OJjjmcf4zaOPGgkRCVF9ybGzdDtj+1P/ZF3Nd5i46SATNx2kxZYii3d5Fc8tyiy3tUw5U5TcuU4dtf2yP0aWFXLkqpUuVHNGqnmfo/OW9lk4s8bNeawXNQqu8Ow7FkR+Ad7exXvvKhRlocwJEEKIoUKITCHEVSHETiFEW+v2p4QQh4UQuUKIdUKIetbtXkKI1UKIi0KIt8p6/TuRNm3acPT4z25Xf/buB/taTK5Wmfd2tBDR1kfP1FptMYSQuaabebUvY8zs23AdL7iCJSyK53b58twuX8PlKhW/NjFzeeVAO05+uIjoPs0IT1hpWABlx4Z7O1rYsO5NErfH0e9UssN510tbT5avrlQurruH1B59ipVoCNvZzWVduFmxy0nt0UfvOZu0yiYzdeez0xj7zTai+zQjsEuY8QWQ5etvxNXJseafjjh/4SL16/rh5+fndEx1QMmG8ic4OJifjx833svPyr0dLcZCyBVeKTPwn7TUeH+84AqJES+4dXeWFE/rt9nLMPkaEZ9pxLrKe3SVyGD+PDpKSPLU7evqHK62m68jXwsjW/LGYG+6fzLRWAze0CzUEirvUFH+lOm/SgjRBlgAjASCgETgYyFEA2ANMBZoBghARur2BP4HNAdChRB1yzKHO5Hg4GCOHv/Z4T5nBTPl7+b9QXl6pXiJX4Ngtk1pzrYpzVkY2dJQqmSLm4i2Ptzb0WJzDOirXnuLnCRuzmj6D/zAeN9r8gnaxMw13JNLjl0j9/Iho0Aw6NYyZ26hi3uTXApLS1gUG5uGEp6wstg+r5QZdNyxhYWRLY1ejNL6OH7GUKL7NKN1aCNmxS5n5Nh5TNx0kMAuYUZtqBHxmbSJmWvzxRCfdpo2MXMZ5t/QSIRwV5bk6PGfuS+4rcsxdzpKNtwagoODOX7ctm6hfcFwd8j+yhL7BVpJFTlPFCdnOMp0jU87bXx+7c/pTKHzRDFz1+WivDA/D3MbRYDrWiHPvTr8ll1bUX0pq5u1B5CsaVoCgBDiL8B04GngB03TNlu3zwK2An9CF97e1msL4M5PRyshLVu25GzWBQoKboKv7T57F4Kr4F/dheBv1KUKiuprk7W2Idyf/vQloq0P/U4lE9C1tyE0petmYWRzZj32qkNFDnTlKnfWyGLbW4c2gk0X2D64H6kpiSRGvMDi3HyiGUO9tHZGzTm/BsEcTfWm/ypdIRwyZRrMHsPIedNs6stFtPUhKC+bDtNz8EqZwYLOsezbMpOOfd62uW54z5H4NQjGy6osRgyexPBWdVhyLBSeDSUypAnRvGwjYKWLOaKtj427ZnirOmT5+rMk7TT9JjxvU0RYulvtFbsbeXlM/eBvvPJa8WdSzVCy4RZw3333kXX2bDF3oFToRs6b5DbDVRYTNlMaBc5ZVmtJSoG4Iz7ttPE5dKYkeqqYOVPkHC2OPZGvzo6ToSVmGQOQpxVyo+GvGDDAtqONQlEelNXeuxkYbXrfEbgGPAzsM23/EbjLutLeBtwPHAO2aZrmqJYsQohXhRDfCyG+L+Mcqxw1a9akdu3a1G/tPAHCvKJ1VHfOLIC2TWnOyHmTyFq1yVjtSqGzuO4e+p1KZlbscg7PHmOcQ1rpvJNWOVXkhvk3JD7ttE0F+ns7WgxLnmRQ53CWZV/geMGVYjXnpIUuJ2QAOSEDiAxpwuItJ+n+yUQ2hPuzb0I9oyUPFFkRvVJm0LHP2yRujzPFARZR2DkWvwbBNoHNMkGkTcxcpvV9gPk/fM3GpqHEp522KcsgFTVp6TR/ici2X+YsWPPfYvL7fyX4gYcYPdr8saiW3BLZUJ3lAoC/vz+//PKLzf+cuUuLu3qQidvjWJuSWKytX2LEC0DJkg1KWmS4JEpevbT11Etbz4rJa226wJivb09Z6uOZz21/fnv5KuWDWU7YY6/IFWoa6flXGTlyJGFhzutuKhSlpUzKnKZp5zRNywQQQvQHPgPGA/WBX0zj8oCbQH1N0wo1TRukaVqgpml/c3HuRZqm/UbTtN+UZY5Vlbp165KbW1zPdZS670mBzoT0fHIvHzKUoSxffzKSz/Pt9DXMil1eLFZMxnxc3JtkCP5h/g2Z1vcBpvV9gGH+DWkd2oiE9HxyQgbg1yCYws6xLK67h5Fj5xllS8xfGsP8GxbrWQgYgdvbpjQntUcfjhdcYeKmgyRGvGAITGdfBNJl5Ncg2HgFRfU14vDkvQblZRvnyPL1Z+ez04wvP/kFGJ92GktYFAFde3Np91YjZi4oL5tvp69hWfYFLu5NsrHQyecVn3aaxVuT+P6n/7F06VKbGoHVkVslG5RccCwXoKjdnauCwvFpp+mfmE1G7CKj7BDY1ld01q6qrMkB8vqeIONpcy8fImvVJuM4Z3FsnuCq2Lq8J3dFwwFDPsgSSObzJ0a8UEyRA8gsuEbX8F5MmDDBo7kqFCXFrZtVCBELTHGwa7mmaa8IIRoC/0Rfeb+iadqnQog5QG3TOXys17pcPtO+8/Hz8+Pq1avoXqciXBXddIRZeBZ2jiXHtD1yxxayp75MeMxcI27sqIynGay7N+ZYe6yuTUmkf2I2R1O9eWOwN/266H1OF7MHy5QoQFecZj22HNBj6TY2DWVsSBNG/boTLWrW13utxmc6jJfzSplBeE9ITVjJMmvP12XZF2D6Gh4FhltLnmx+LYyes4qOly7YBauLCg7nWhMjwufbXmPkPN3lSl62jQt3YWRLI+4vIUp3O0eGRTE8LxusFkxZssQQ1JsuMCz5POFWN2vbwmxG/mU2u3fvpl69elQHlGy4/fj5+TlV5sy0HDXOpjcx6Asec0mijYNDgXmA4y4t7kI4nGFfr81ZMV5HSEVLWvtzQgYwxNSLuSQ4KyFidgfbzzEyLAo8KJMSZFXogqwKndm92sKu/EvWzTwuFhbw0Ucf4eWlkh8Utwa3ypymaTMAhznvQgg/YDewFwjRNO2qdVcaemyM5H7gsKZp18s23eqDXIE3rlFY5mBdKcClVW7FZL3kCJwmctJSOkw+gVfKDF2AmrJZEyNe4HjBFYb5N7SuWG3bf21sGqrH58zaDegCONbPh2XZ1h6oz4YWm4t9BqojzMJQKnStQ5PY+ew0IkOakNq1txErN+u/U8j423ne+HARcSnun0VMt4Ek1W8N6GbpzBQgMs5mjOxfK618s8DaqNz2XMuyL0DEC/TZHs8zvxvC9PF/rla15ZRsuP34+vpisVgoKCigZs2axvaE9HyjH/OQKYNYsNpilP4xh0FkrdoEIQOsiUHFy2NIBc4+maqkOKvx5ux68nc5LiGqLwAbIpsXO8aZklYSC527wsiuzmXed2n3VryBS9b3rUMb0dr6e0byeRZePk/mzevc71OXgIAAj+anUJSGsi4TooAzmqa9bBLWoMfLPCGEeMKavTYDWF3Ga1Uriixz7nEkeMw9CaUiZ++6kBmchkXL5IYFvYDutL4P0Dq0EQFde7O47h7W1XyH7YP7cXFvEism27YHyr18iPCElbSoWZ+M5PMkpOcbczhecMWtUlrYOZYsX38ja9Q8j53PTiNu9FTDgiZdquMfnkzr0EYcGvoSH3fLs/nicoSjLhLhPUeSEzKAoKi+Npm2uZcPkTn/ffwnLS3Wb1ayLPsCr3bsxPkTJxkZUzx2rxqjZMMtQAiBn58f16/b6r7S2pZ7+RAJ6fk2xbjNn3v5GfekdIgzd2tpceRiNYcpmK+3IdzfKFR+KzDHwsrfPbH+2cfN2dMmZi5tYuYS2CWM1qGN+E2t2oQ//Xv23fjF4XiForwoazbrw0B3IcRNu+2tgaFY684CnwAzy3itaoWvry83btwA6rjtB+hMSZKxYG8M1t2Q9gIeB24Y0F2X/U7t4mKfZox/eDIA0aY+rKB3QxiyfJpN5lxh51gOzx5DdJ9mDCx4D6/5M/RivnNGM3LsPKNulCMSt8eRPfVl5jx2sljCxfGCK2xfbcEL29p3uZcPkTv/fZ7DF+q3Jpo8Oh1P4OsWEQ5duXGjpxJXbKuOV8oM3Upnl0zh1yBYz6iLmUs0Y2ziYVrUrE8PPx/+cvE0T/4uwum9VVOUbLhF+Pr6kp+X53S/vXvVntzLh4gbPZXCzrH0tHcJepgA4a6HqsTcH1WneAFgs1Jlzjh15iL11CpXkq4SnsYD2itxF/cmGS5q+77Ni7ecpO2fR+J/XRmdFbeesiZAjNI0zUvTtBp2r+Oapn2maVorTdPqapo2zBrorPCQkydP0qyZXqzWXUFPV0LraKo3Cen5Rr01Z5gzQjeE+zMrdrnDOBrJ7F3rWDF5LYnb40jcHsf28V1ZV/MdY7+5Gn3PWbu5+c7HTl2sLUeNY85jvQxFaZh/Q5vkiZvvfGxzvo593nb4ZTWw4D3GzxhqdSGXP+bnYa4798I7b1cr96onKNlwa7h+/TpXrlyhQTm47MxW+PLGWaKDs2xbd10gnOEq6ctTXGWzms9vLkfkKJHLnpW/HOOnn35SskFxW1DtvCohFouFzMxMrhYU0kA4XzW6q0SekJ5pvD+a6m3UXpPkWuPCcqwxNBGD9WLBUmhd3JtEhDXu7dEJz7PDlPUqY9bCe47k4255hiLWomZ93ZW5y7b+m6tYuaxVm1g8YyizYpcze9c6lhy7BkAw6Ba5+e7bFEnCdnbzqK2RI1qOGses/75DhkUvq7IjN58elhO0/uQAl7qEEdC1N9P66iVJpGL3r8n/5NN//Yv33nuvVNdUKErCsWPHaNGiRbF2UNumNKfX5Fju7WjRP+sOPgPmEIQga6LP9sF6qISjQtieuFQdWcocJTxEhpS8X6uncygPXMXJyfsZbk16MDL+w6LAVKLIbLUrLNRYuXIlX375JZMmue/MoVCUFaXMVUJOnDiBf4MG1KpViyxqeXSMo6DeiLY+JOC67lROiO5+zUw5xILOsbwx2Juwnd24N/ZxAuvuKVpJtw0leHko49PziWjqgx7brhPYJQysytzxgiscnj0Gvwbtirlwnbl+dn00jMOzx9DDz6dYEeCSmI69UmY4rDnnKYvr7oEuYWQk62VIWtSsr//cks/4LvqYNjFz6Z+Yzam/LcWnzhFEQC2mTZ3Ks88WL8SqUJQ3R44codHdjR3u2zalud4XlXyy0op/3mzer9pE5Lo32e7kOiVRouwVIZnNao87Re5WdmVwh5Sf5pg4WTzcmHdetq70muvsxcwt1q/58/3pzJ3+Hr8KaMjGjRt58MEHb/v9KKofSpmrhBw5coTm97Qot/PJ4OhCaycIV+jB05s4ygDC6FbkirFmyIF3MQXREhZF3ByMQro7n51GToHFuFbLUeOIaOvDislrjS8UvwZ61l33TyZyafdWAruE8cqB8+BE4SvsHEu9tPWG8ukqJqg0+DUI5pl/nCcnZABvfBhK3Klko7+sLEsC+hfO0dQcfjm5g0kT/kBMTIxNVqFCcSs5cuQIzVu4lw0yo9XV5z176svG7/auRlc4UrqkImRfyNgeR1Y7T2LbPHXDustEtcdZPLIsPSJ/t+9/PbxVnaLrmerOndBqMfaPo1myZAn9+vWr9vUmS0LdAM1tOJAn5O6tno1jlDJXCcnIyKB5c9uUfHtXqycCS5YkkQLdr0EwOValSCpD9dLWExTVlyBgQ3g9XSh9NIz+idlkzn/faLu1YvJa27Il2+PoNfmEYQ1YsLMbYHVx7pqKl7xeyADjvJHr3qTX5BPG9eNGTyVh1GS46twNW2i1Fiak53MU/fo5IQOcfknVS1uP+ypcRcjyI/L6XikzWJEWDFMGMTymNzCGbZ/9zNb3lnNP5600+HUX5vVsy1spPowfP76Yu0uhuJVkZGRwzz33ON2vZ2Vaf58CvSbbLuCkq3XDujcZ9etOAEzr63lMl7vWVo48BI62OVLk7GPV3Lll7c+rh2dcIzKkiVv56EyeGi5Vq7Jmj1mhy/L158ovv3DyyhUCWv4fV0+dYse/9/LYY4/Rv39/l9dXKMobpcxVQo4cOUJI07uKmf6hZIHCEW19WJBqu9J5Y7A3w1sNM9yZOSED2BDZHO+kVSRGSPficohdZHOcLGmQEzKAhZEt8U5aRVJ3CMjTY23u7WhxqpAtOXaNfuiWgH0T5tJhepEy5iqWzq9BMLsm6NWyIkOaEN+2SLiH9yw+XhZF9jRmruWocWwI9+fw7DE8hy9+DYI58t8PuXLlCnv27OHvaxLYdczCfwsv8o1fEOLARbT/fgrA22+/rRQ5xW3nyJEjPN3fc5f+G4O9WWFyueaEDGDblObMeawXoBf3NrsOHWGWQc7id92NkbLMXjlzZElzZ90z4+ha7hQy++MdKZpZ2FrnANqHtOHcuXPs2vUfdu3axc6dO8nMzKRhw4Zomm4NEkKwaJGt7FQobgdKmauEHDlyhIjHHwPKFgAcGdKEhI6ZeskNMHqfLkk7TctR44xuDt5Jqxg5dp5x3PGCK0S09SlWxiP38iHu7WjR29ZMX0N4wkrjOismf2AzduS8SUYduoT0fGgbSr8uutCtl7bMpfVMVq/PCRlgdJ2AHN4YXNRXNnXLTJYcu2Z1/bpW4EbOm0RkSBPCe4403g9vVcdItACYdvNn6k6I5je/+Q1paWk88sgjdO/enenTp/PYY49Rp477LwaF4lZz5MgRmjd3bpmzRxbgzTG6neiWdFkE2xIWRZZ1rDt3p/2i0lmJJGfncVastzxi5cyxbea2ffZzke5QZ/OyVyADuvbm5s2bfPnlpwx6ZjHnzp2ja9eudO/enSVLlvDrX/+aGjXU16ii4hFyRVGZEUJoVWGe5UW7du3468RxPBTSFnAvJJ0JwxHxmUbLKoCFkS1tYlYS0vOJaOvD8FZ1GGRtoSVpUbM+GbGLbCxnhZ1j2TalOdlTXyawSxhhO7sBxa1y5t6QsmBxTsgA3UpgipuzZ+S8SfQ7lcwz/zjvNiZOukcX191DXpHuSQAAIABJREFUT2sHCjk/qbTJcf9sd4DALmFsbBpKQnq+oSj2/OIVovs048zVG3x0sxHHjx9n7ty5dO/eHV9fX5fXr+wIIdA07Y4O2KlucqGgoIC6deuy57sfqOljW/TXVZ20+LTTxmdd/v9LN+valMRi4+2VIGfyx1MlrDx6unoi+1x1drDv2mDuq+pKif3PjweZ8Jf/R8OGDZk5cyYdOnSo8hb5yigbhBAPNuzw5I/3DYop87kOzHuDqycPVar7ux2oJUUlw2KxkJGRQf027cjyLV4wWOJJoK/MZo1o6+Mww0wqd1m+/jYttGR9t1n/ncL4UZMNhTCirW7Fm7jpIHHW0hyyt2mv1KKyCJnzi2L06lHkol0xGadK2sfd8lg89CV61m/tcL89smCwZXscflbl743B3sXuMSdkAIFd9A4W3WePoTvQdNF0jmRfI6nFAMbs2MGRI0cYN64vmzZtwsfuS1KhqCwcPXqU5s2bF1PkzJhDM8yKjZQBkSEwgr54J61yqMiVBHdtsSSlUeKMXqlWS5l9rJojl66j+zZjX/DXnLkqi/9mX73G2daPkpSUxI4dO7hy5QqzZ8/mhRdeUMkMikqNUuYqGT///DMNGzaktp1bz9FK2ZWQdFa0UyKFZEJ6PpEhEN2nmVErroefDzty88lIPs+GGH+yIv3pNfkEkZFNGDl4XrFzBeVlM3P3SDpO2UL/VR8YLlSXpRFMpG6ZyaDO4Uzr+wBJu1xOuxgj4jMZMmWQTTFS+6xd6VY5suMcMy+e4lLCMzz00EOEhYXxt7/9jUcffVQpcYpKT1paGiEhIQ73ueoKY+9+3BDuT5ZvFEvsEgzsFSQzt6Pemyc9U81I5cy+gK+7rhT2BHTtTX7BTWZ++E+2nLzC44//SFhYGK+99hoPP/wwXl5l7XqpUNx6lDJXyUhLS6NtW9296kq4OkIKQ+lWgaIVuX0vwktJqwBYGBmFd9IqAruEMSz5PMuyLxhtu5Zlw45uA8mIXYRXyvuE94Tp/g1Zln0BS1gU9f7xAUcZwJK21+ge2ojsqS8TFDWZXAdJDa7cptLFG9glDHbtdjrOERFtfWj2+qtEo/dJXZuSCIOvETlFj/hL7dGHQZ0vkFdo4XBBLm06duCz5cu5//77S3QdhaKiMcuG0iBlwvBWdWzrp3mAM9drWTFnrDpSQO3HmveZXaVQ3NKWkXzeiOuVmNtvyWMP/vQjk2cvol2nrhxOXkijRo3K5d4UituJUuYqGenp6YSEhJRYgYPiAta+mba3VYE7bBJo3kmrCOjamyXHrjE8oTetZ48BdMUqwJrNtbGpngzh1yCY1u3yiOvyPNHxmYb7NCG9L8Nj5uqujoG2iRCecCSwAyPnTeIZa8KERJYlkUkO26YUlWuRfV77nUpmpKlnrCypEmc9foamce5mHscKrvHe9GnExMSogGVFlSQ9PZ3OnTuX+nh7eeAqBq48LHHuYthKqxC6O/bi3iQWb9F7PLeePcamZ6q5JV9BQQFL/hHHxnVr+eCDDxg8eLBypSqqLOpbrZKRlpbGQw89BNgGHjsSXu4Errm5tUzT/9aUhSqRWZ1Zvv4EdgnDEhaFBViSdpqEq4+TOXoqoFvXdj47jbjRU5EdIGTsWofUWO7taDsfT4oUSxwlRuybUI8sX3+GT8gmMeIFRv36AvN/+Jpek0+Q1H0P305fYyhyso2YuYOEV8oMvu3bi1MLF/L9f/bRvn17j+aiUFRG0tLSeOmll0p9vLnQrcRVhqn9PncxaWbKyy1rvp5tX1ddZtnXlJMFyKMparN1ePaYYn2mCwsLGffnP+EtYN++fTRt2rRc5qtQVBRKmatkpKenM2DAgGJC1B53GWLmLNbIkCYk9ujDjtx8xs8Yarhi5T64ZsTOBXTtbcTSJKTnF6sDF2dV7OzxSplBZopuvZOtu0rSI9W+ELCMo5O0qFmfaX0foP/AD/C6fIiACTNZlj2PaX0f0IX31ceLtQK7nnuGbQkZHD1zirvuusvjuSgUlQ1N00hLS8PiXT6xnZ5kmJaljIizcfauUnNiliPXqjxPfNppo5ONOalrRHwmEW196Hcq2eY4s2cBbN2rAJPGvsnNgpp8vm1blc9cVyhAKXOVjh9//KlEAtvZStncFiU+7TT9JjwP09cQ0LU3/a0lSwAYLGNWThsCXgpVmaVqX0HeVfxbebTZ8msQbChy0/o+gP+kpUXnt5YdkdbEjOTzBHYpfo78vMv41Mhi69avlCKnqPJcuHCBmxYLDQICyu2ct6MXqidKoyexe7JmJmCTnS9DKoZvmVnMAmefvQr6YvUfs6aw5+cLpKSkKEVOcceglLlKxNWrV7l6NYdGpVA+7JU6Wd8NYAWQENWXWaFJ1jHZxY4d3qqOTUHNoLxsLu3eqnd5mKAX6JUC1Jl1rix4pcwwYuQiQ5rQa7LeumtgAWBqASZJSM+nBnrSA9PXwB8fN/bdvHmdml6n+OijVTzwgOetihSKysrhw4e5p0ULm5iussSdObP2l6eCZ+9qtc+wt7+eKwsd6ItLQznE1u1qPo+UYTIRAooWfXu++56FO75l9+7dBAYGlvLOFIrKh1LmKhFnz57lroaBNqnwjlp6OcIszBLS86mXtslG+cmd/z6B48MIsJ7n3o4WNoT7c2n3Vg5/ogs8+7gSmREGa+g34XksIVEkpOczct4kFqy2lFvD+5ajxrEwsiUA4T1HEgfYFwOw7xiROf99COxAqnVFbubGtXMMGzqQnj0d9PxSKKogZ86coVGj4ou8kipgl3ZvJciq7LgqZ1JWHPVZlTjqnRqfdpoFqy3c29Fi9JZ1hFkWLoxsyQj0AuXZU1+mjTUJS7YmC+ja2+RqTSKga29WjpvA9OnTadOmTTndqUJROVAFdCoRZ8+epWFAQDFBJwW2+eWKiLY+5IQMsNkmG2wfnj2GhZEt2RDuT2LEC8yKXW5dteqK3KXdWw2rHEDr0Ea0Dm1kzGNhZEuGt6rDtinNCYrqa3N+eY2SkLhdLyES3nOkTecGT+nY522e2+VrE9tXUHClTFl/CkVl49y5cwQ2bFhsuycdDySHZ49hVuxyh+5HR8fLV0lxdIw5Rk5iX4pEL0yuh5jEp502FEDz7/ZIWdYmZi7dXlxGeM+RNm36QFfqpHw78L80unRxEJehUFRxlGWuEnHu3DkaNbQ1/TsT1u4CjN8Y7E1cStH2oKi+BHTVj7k49WWygR25upvi0QnP27gmnHFp91a8gUtgrO7d4dcgmM2vNWJj09BiGauFnWMB3SVcnquKm/lXefjhh8vxjApFxXL27Fnu8a9bomPslaps9L7Ls2KXM36G/hl2l1wlFbqSWO3suzVInCly8prSOu8ImaDlqvODeax95m5Q195cu36dM+fOl6lWn0JRWVGWuUrE2bNnCbLGcZRlRZyQnm+Xxq9b65Ycu4YlLMpYpUb3acb4GUONMVKRk+MAq5tVd7nK+BOp+C2uu4eWo8YZSpkzl+vFvUlsH9yPxkfWEnYlg+mWE3zcLY+Zu0finbTKJlmjPAgNfZz09PRyPadCUZGcPXuWoIaBxZQZR9YzR7Lj0u6tLN5yEtAVOnNsrKPx9rUrSyqPPPEgmOfrbnEqLXbm82b5+jMiPtNoSbjro2Ekbo9jQ3jRfvP91fL1xb9BA44dO1aie1EoqgLKMleJOHv2LH53NS117IpMUoDTxZS57p9MJLBLGBc/KSqo2aJmfXokrzHcqN9OX8OjE543jpHCf8eWk/Tw8zHGSaXv2+lrWDwBojs+Tlaa4znlhAzAf9KbTONl47rLsoFN1i4TY+dRg3ncB8TNGY0lLMooCHw01btE5U0k33x3nBYtPqdfv34lPlahqIycPXuWTvfrcV6uFCtnitzFvUlG7+WS9mS1V4pKI5/c1cq0329uQWbfjsy831EhZGcKqJeXF7/t9Aiff/45f/jDH0p8DwpFZUYpc5WIs2fPcnfze5zu92QFC0XFQVdYy4iMnDeJiYP7gbX3qqSHn4+hvF3cm2T8LgOUZY9WwFDkzPWaWoc24tvpa9iQ0JtuqxzP2StlBvFpkxgeM5ceyS/oipwTRo6dB8wz/imD0evLRfdpRpuYuYayGpSXbVNTruWocWwI96fbi8sA8P2/NtSq5e38QgpFFePcuXMEOQnBcBXbZg6bGObfsFjBcPN5zLhS3FwpZq66SNi7b51d03xdZ5mtUskb3qqOR72qJZoGtWrVcjtOoahqKGWuEnHw4EH+75HHXI4x91+1Ryo6Wb7+JKRnM2TKICJDmjDq151sxg3zb8ijE57HEhZFtNUKtnCS3vVBXuPw7DG6Apd8ntahjWwyXaWLRg8s3sql3VvZsO5Nek0+4dCStmC1heETdOWvxZZ8w0LgCccLrjBx00HYpNed227dvt1qxTM/E+nmzT1xkvZPv+XxNRSKykxeXh4ZGRn4Nm9TYquY+bPaJqZk13WVRe9IofMk614ea3+ceXvxoubY/G4uTyJxZLUzI8su/ZR+iDffVp1gFHceSpmrJHz99dccyzzOY53dZ1rFpxV3o5rdDUF52UZhzdQefWzGydW5jDfJWrUJgBH0tT3fs9OsVdWTcIWROJG0in0TetM/cRxZqzY5jJ/LSD5fIkXOHVLp9O4SRq+d3YwA0Ou5p1TrLsUdw7T3ZxPywAPcdffdDveXNq7NfKy7bZ5Q2hZejixyjjArePaJGfauWJmRH2BN8vAGCgpuciQzk3bt2pVqngpFZUYlQFQSpk+fzkuvDKdmzZrGNnN5gJIKSke1nEpDYJewYvXnnGW8Hp49hsV19zBkyiCbMiVeKTPo9uIyTn64iGH+xcsreIps6TX/h6+Jvvo4Habn8NwuX3rO2m1YBAstBVhuXjf62yoUVZmbN2/yryWLGf6a52V7PCk9UlYcZaOW9zmdIRMeHGGWe5awKJtx//npIPc0aUKdOnXKPFeForKhLHOVgP3795OamsqkaTNtVpvmFbdtcLA/4KAIp0mgeiet4hJF5UdAV4Z25ObTevYY2sTMZWFkS+LbDjKsfBFtfYwYlKC8bC6d0o8LsCsy6p20isSIF2gd2og2MXNt7uXi3iS6k0TkuqX0H/hBkevz8iFWTF7LroSV7Og2sMQWOtnWa0R8JkcnnwAcJ0dcyz3BsGFDlcBW3BGsXbuWu+66mw4df+PxMQGmskFlsdp5ajEr63Ucnd+Rq1R2oNHl1WkbxU0qsNISNyI+k6OpOdzb0WKUPJk7aRxv/HlyqeanUFR2lDJXCXj//fd58803acZ1h/ulclWSpthBXXsX64wgM1jleBlELCuueyetYgmhrJi8jJyQAWybEqUrhaY2X6ArbDty89mx5STR6P0QZbeI1qGNyEg+z6NdVjFkyiCb2nKykHF0n2aGtU8eJ5VOZ0rexE0H9YzYLmFsHBxKQno+mSm2Y67lnqa271XGjRvn9DkpFFUFTdOYOXMmb/xpjPvBJsyKjcQsQ0oT12bGWbyu+TolwVGHCGfIbH3761nCoozrxqedJqKtDwnkE9HWB4vFwvxPkzhRoz6vvPJKieamUFQVlDJXCUhLS+PNN98s0znslb1Lu7cWi1GTmaHmxvX9B36gHx/Vl4WRUZB2mpyQAUbttyIlTc9iDejam2x0hUwi68/JjFf5c3irOiRE9SUnVc8svbejxcYFJNvt+E/yZ3F8JkdTvY2VdPbUl40adxI9EeIgLWouZ/GMoWy0thUTe6dxJTudFs3rs2nTLoKDS96JQqGobGiaxqFDh/jNo66TosBW+fp2elG5IaxJQmBbO86ZwuUo8cA81lknBnd9Vd0hrW7mazpz5Q5vVccm+cHRIlcqfdeu/ML4N6dTWOjLN998g5+fX6nmp1BUdpQyVwlo3LgxZ8+epek9d3scN2Iv/C7t3kr23qJkBVnTzUwPPx/8Jy2l1+QTADZuytz579MrNZZtU5oTOcUaQJy0qshqlnyejOQ1Nkqd+drO2BDuT1Zk0ZfH4dlFc5Qr8rjRepkRLyAzBfqvCmbIlGlETrL9Ymg99WWj9p0sYzLTvyH7+vciI6MWH3/8MfXr1/fk8SkUlR4vLy/uuusuLmRl0aRpU6fj7BUzWWIooGtvcGLRd9TdwSxPzPXdyht7l6ycg/31XHkjnO27tHsr/YCNhPL5/25Q64u5tG/fnr/+9a/UqKG+7hR3Luq/uxLQuHFjzpw5Q1Ybxx2mHa2MZS05uT9x+hqWZV8w3Kg9/HyAhuzILSoF8uiE5wlzUj4EdOWu/8BgNqx706Y3644tJ43zDEuGNjG2MXTuWnuZe722iZnLpd1b9QLFQMLVx4uNl+5YWTwYrPF8MXOZbS2vcGn3VmbFLueBjcuZ0LcvP/30k1LkFHccjRs3tlHmPHFhyrgxab1ypviYLXSeKm+Oxthb6+zDQpzF3tlbCN3VnpPHFMnA4vcjLZGRQNOLu1h0/Tpz587F21vVnVTc2ShlrhIglTlXLDl2jYT0bJu2NsNb6T8Te/RhWfYFY6w5Jo3pa4CiunLsPOHyOrmXD9Fr8gkjXs7MtL4PGMV7E9LzOZqaA2C4Rh0FI8u5Yo1pkfsenfA8F/cmEfFsKHGma/g1CCaoo4XIkOaYkzwc0a1OTaKjo5k7dy4BAQEuxyoUVRFdmTvvfqAT7Nt/OcNcw81VEWGJfbcGRwqdq/fuzu+OyJAmNglf9rXp7m5Qn7fffpvt27crRU5RLRCaplX0HNwihKj8k1QoKhfHNU1rWdGTuJUouaBQlIpKJxuEEA827PDkj/cNKmFlawccmPcGV08eEuUwrSpFlbDMaZp2y/8wQojvNU3zPP+/mqKek3vUM7o93A65AOrv6SnqOblHPSPFrUIVDVYoFAqFQqGowihlTqFQKBQKhaIKo5S5IhZV9ASqCOo5uUc9ozsL9ff0DPWc3KOekeKWoJQ5K5qmqQ+ZB6jn5B71jO4s1N/TM9Rzco96RopbhVLmFAqFQqFQKKowSplTKBQKhUKhqMIoZU6hUCgUCoWiCnNHK3NCiKFCiEwhxFUhxE4hRFvr9rFCiJPW7V8JIUJMxzwlhDgshMgVQqwTQtSzbvcSQqwWQlwUQrxVUfd0KxBCjBJCnBFCXBFCbBFCNLZud/gsXO27U5+Ti2fk8H/Muq9aPaOqhJINnqFkg3uUbFBUBu5YZU4I0QZYAIwEgoBE4GMhxGPAGOAJIBD4BvjQekwDYA0wFmgGCGCq9ZQ9gf8BzYFQIUTd23YztxAhxEPAe8AzQBMgB5jt6llUt+fk4hk5/B+zHlOtnlFVQskGz1CywT1KNigqC3esMgf0AJI1TUvQNO068BegPaBZX7L7hTdwyfr708APmqZt1jTtMjALeM66T1jH1rD+fqe0EuoGbNE07RtN064Cq4AHcf0sqttzcvaMHP6PCSECqH7PqCqhZINnKNngHiUbFJWCO1mZ2wyMNr3vCFwDfgA+BQ4BN4DXgVjrmIeBfaZjfgTusq6OtgH3A8eAbZqm5d7S2d8+FgPRAEKIQCAK2IvrZ1HdnpOzZ+Tsf+wK1e8ZVSWUbPAMJRvco2SDolJQJXqzlgZN087J34UQ/YGFwHigO9AX+DVwGJiNvpp6BKgPHDedI08IcROob111DbptN3Cb0DStAEAIEY1e0PIGuql/KE6eBdXsOTl7Rs7+xzRNuymEqFbPqCqhZINnKNngHiUbFJWFO9kyhxCioRAiHvgb8IqmafPRYxs+0jRtn/WDMx74jdX8nQ3UNh3vg67wXr79s7+9aJq2GKgDjENfVV7F+bOols/J/hkJIWo6+R+DavqMqgpKNniOkg3uUbJBUdHcscqcEMIP2A1cBEI0TfvUuuua3dCbgAW4DqQBD5n23Q8ctsY83JEIISYIIV4AsN5nHBAAnMT5s6hWz8nFM2qE4/8xqGbPqCqhZINnKNngHiUbFJWFO1aZQ49dOKNp2svWVbZkC/CCEOLXQojawLtAovWDtBl4QgjxhDXjaAaw+nZP/DaTBYwXQtwrhKgF/Bk4APwL58+iuj0nZ8+oN47/x6D6PaOqhJINnqFkg3uUbFBUCu5kZe5hoLsQ4qb5BfwMvA2sA84CIcArAJqmXUSPB1kBnADOAzMrYvK3kaXAdvSg3XPo2Vn9XT2LavicHD4jnPyPCSFaVMNnVJVQssEzlGxwj5INikqB0DSV+axQKBQKhaJiEEI82LDDkz/eNyimzOc6MO8Nrp48JMphWlWKO9kyp1AoFAqFQnHHo5Q5hUKhUCgUiiqMUuYUCoVCoVAoqjBKmVMoFAqFQqGowihlTqFQKBQKRbVBCPGUEOKwECJXCLFOCFHPxdh/CyE63c75lQalzCkUCoVCoagWWGv7rQHGAs0AAUx1MO4pIcRCoOvtnWHpUMqcQqFQKBSK6sLTwA+apm3WNO0yMAt4zsG4ruht1uyLPldKalT0BBQKhUKhUChuEw8D+0zvfwTuEkLUNXfr0DRtEoAQ4snbPL9SoZQ5hUKhUCgUFUrTX3kR0danzOf5uZZACPEq8Kpp8yJN0xZZf68PHJc7NE3Ls3aAqU8VscI5QilzCoVCoVAo7hisitsiJ7uzgdryjRDCB10XunwbpnbLUDFzCoVCoVAoqgtpwEOm9/cDhzVNu15B8ykXlDKnUCgUCoWiurAZeEII8YQ1s3UGsLqC51RmlDKnUCgUCoWiWqBp2kVgKLACOAGcB2YKIYYIIY5U6OTKgIqZUygUCoVCUW3QNO0z4DO7zSusL/uxLW/HnMqKsswpFAqFQqFQVGGUMqdQKBQKhUJRhVHKnEKhUCgUCkUVRilzCoVCoVAoFFUYpcwpFAqFQqFQVGGUMqdQKBQKhUJRhalSypwQ4o9CiEEu9kcLIV5wsf9fQoh3HWzXhBAthRBrhRBxpu2NrPveNG3rLIQoEELULcOtKBSKcsKZXLB+pm9Yf18qhGjt5Ph/CiFuWl+aEMJiej9ECPGuEKLQtE2+vrAe/5X1mLvszvu09XzvWt//y+7c8tWj3B+KQqGoVlQZZU4IUR8YAqx3MWwF8CchRG0XY1zxFdDZ9P5J4ArQ07StE/C9pmlVtiGvQnGn4KFcAPgbMNvRDk3TXtE0rYamaTWAnYDxXtM0WXdqkWmbfD1lOs1VoK/dqfujyw8zExycZ4cn96pQKBTOqDLKHBANbNY0zQIghOgjhEgTQlwRQqwXQtTRNC0PSAZeLuU1vgIeMlndngT+CjwuhKhp3dbZOk6hUFQ89nIhWghxTghxERgpB2math9oLoR48BbNYwu68oZ1HjWBCOCLW3Q9hUKhMKhKylx/YAfo7hNgORAFNAECAOkK3QFEluYCmqb9D7gAPGrdFAasAw5RZLFTypxCUXkwy4X7gDnWba2BB+zGJlNK2eAB24COQogA6/sewH7g0i26nkKhUBhUCWVOCOEFPAL8ZN30HPCppmmpVnfnG8C31n3/Bbo4OZXm4jJy306gsxCiDeCtaVoa8CXwpBCiKXA3sKfUN6NQKMoFB3JhELBe07TdmqZlA1PsDnElG9wxXAhxw+71rGl/HroVTiqL/YGNDs4z1e4c60o5H4VCoTCoEsocEIg+11+s7+8Bjsqdmqb9T9O07da3lwA/ayyNPdcAb/MGIYR8n2v9+RV6XNyTgDznl+hxc51R8XIKRWXBXi40A3427T9tN/4SuiW/NCzRNK2W3esTuzHrgf5WmfI0sNnBeSbZnWNgKeejUCgUBlVFmath/SmsPy8CRuaYNcNUZrEW2v00cxwIttt2L5BDkTvkK4qUuS+t23YDDwLhKBerQlFZsJcL59AXepJ7bIej4VgulBcJ6Ja/PkCGpmlnbuG1FAqFwqCqKHNZwA2ggfX9RmCgEKKdECIQ+ACoZd0XAFx3Yj3bCPxOCPGiEKK2EKIZ8HdgnaZphWDEzVmA3liVOWtixTfAiyhlTqGoLNjLhQ3olrHOQgh/YILd+AboCt8tQdO0a+hxeX/HsYtVoVAobglVQpnTNO0mekxcO+v7fUAssBU9OeFrYKl1+ENAipPzHAGeRU+WuAzsQ7fW/clu6FfAIU3TzIJ/O/rzUvFyCkUlwIFcOAC8he7uTKd4JulD6LKiNLzqoD7c9w7GbUC3CCplTqFQ3DaEprnKCag8CCH+DPxK07RJbsbNBE5qmrbg9sxMoVBUFJ7KBevYvcCrmqb9eOtnplAoPEUI8WD73/b6sd8fY8t8rn/8+VVOHUkX7kfeWVQJy5yVJUAfIUQNZwOstZ3CgWW3bVYKhaIicSsXAIQQ7YCLSpFTKBR3IlVGmbOWGvgHelkSZ0QBC62xKwqF4g7HQ7kA8Edg3K2fkUKhUNx+XK5mKxuapi10s/9ft2kqCoWikuBOLljHDL8dc1EoFIqKoMpY5hQKhUKhUCgUxVHKnEKhUCgUCkUVpkq4Wb1r1NYKLTcqehoKRVXiuKZpLSt6ErcSJRcUilJxx8uG6kiVUOYKLTe4u1kY28d3ZeTYeRzq8wleKTP4uFseEzcdBGBtSiJZvv4AtG7WmMaNG3PmzBnq1q1bkVNXKCoEIUSLip7DrabQcoOutQM4EtiB+y7uczhmmH9DwhNWsuTYNRLS85kX1oAhQ4Zw8ODB2zxbhaJyUB1kQ3WkSrlZe87aTYua9Qne8qyNIgcwqHM43kmriE87zfnz56lZsyZXr6oWqgrFnYwrRQ5gWfYF+idms2C1haxVm7h06RK5ublUlfqaCoVC4QlVSpkD6OHnw5HADjy3y5eb73zM/B++5uY7HzPMvyEjx86j2euvMnHiRMaOHcvdd99d0dNVKBQVwPwfvmZtSiItatanxnvPsa7mO2x+rRFjxozhww8/RIhqV1NUoVDcwVQ5ZW6Cd3Pj98z57wNwNNWb1qGNAFh6OYsvvviCIUOGVMj8FArF7cORVW5a3weITztNlq8/42cMBWDipoO8/Nb/4/z580RERNz6WhNYAAAgAElEQVTuaSoUCsUtpUrEzLkitUcf9iWsZFBn3eV6Ew0QNG3atGInplAobjlHAjvYvPdrEMwrB2DIsxCUlw1dezPMfw3Lsi9wXSvkwQcfxMuryq1hFQqFwiVVXqrtyM0nMeIF471F0/Dz86vAGSkUiooi9/IhAFZMXsuSY3ojmB25+bSoWR8LSjYoFIo7kyqtzLUcNY4efj4223yFF1lZWVy/fr2CZqVQKCqS3MuHyL18iLjRU7m0eyvjZwwluk8z7q1ZnyNHjlT09BQKhaLcqdLKXERbH4fb69evzy+//HKbZ1M6vvrqK5KTk5XyqVDcAqKvPo4lLIo2MXPxFV5cunSpoqfkEYWFhXz66aekpKRgsVgqejoKhaKSU2Vi5jRNK5aBFhnShFS7cect+fj7B1G/fv3bN7lSMm/ePGbPnk3jxo3RNI3t27fj76/Xyrt+/Tr79++nU6dOFTxLhaLyci33NHX8mgC6pX5DuD9Ljl0jbvRUwHbB9/X1LB7t/mSFzLMkFBYW8vrrr/Pvf/8bi8VC+/btWbVqFTVq6OL6/PnznD9/noceeqiCZ6pQKCoLVcYy95s+7Ytti087bWSxGuMGPM3bb79NnTp1btfUSkxeXh7vvvsub74Zg5dfdzYtms/ly5fZtm0bAJcvX6Znz5789re/5eeff67g2SoUlZe6tX8hP+8yhZ1jiWjrQ5avP5EhTSjsHEvLUePodyqZ7KkvM6hzOA1C7mPq1KkVPWWXXLp0iaFDh7L8o3jOB7/Pon99xObNmzl8+DAAhw8fplOnTvzud78jLy+vgmerUCgqC1VGmftmw0dcv6e78b7lqHEkpOez89lpLP7jfOLmjAbgxo0b1KxZs6Km6Zbt27fz4IMPMnPxdprd9yyfbn6HzNwCatSoQb9+/QDYsmULAH/605+YNm1aRU5XoajUxMXFUdvnHHfdnWaz/Y3B3kS09cESFsUrB9rx72sXuX79eqWVDZqmsXTpUu6//342bEqmvn9banz///hp3/f07t2b+++/H4BFixbRq1cv2rVrx5IlSyp41gqForJQZdysCQkJREZGkpNblyvZ6QDsTzvMiPhMjqZ6Y5kSxd3eS0n59ltGjx5dwbPVycjI4Pr16zRr1gyLxcJbb73FV199xbjfPU6XP7zLysd78NpLhzhw4ABjx46lRo0aaJpGUFAQ6enpbN68mZCQEA4cOICPjw/t2rVjzpw51K5du6JvTaGoFDz99NMUFBQwYsQIDv3qz7R/ZhygW+0BRsRnknv5EPv37+fKlSuVJvxCfqabNWvGmTNneO211/jll1/oN346m+d+zLXc07RsXpO33nqLFStWALr7tVGjRqSmpjJnzhzCwsJYtWoVPj4+PPXUU4wfP14VQ1YoqimiKrS1EUJomqZx/PhxwsPDee6550is1YWUcT3Zn3aY+LTT9DuVTMqWeOZk5JKenl5hQu3YsWNs2bKFGzdu8Je//IWcrAtowA1No/Z9z/B/J7/C2zq3q4U3OVzDwt69e7FYLKxfv545f/2QOvV86Hy9gMsTPyb/ygU61s8mPMib90eNpUaHh4iPjycoKKhC7k9RNRBCoGnaHf3NLuUCwNdff80zzzzD3//+d0avb8i5dT04vf87ADpMz6HL3dvwPn2E9evXV9h8v//+e/bu3UtOTg4zZ84kILAhJ34+gRCCuvVbUevJD2n9iD726ILZiPwDHDhwgJ9++on169ezbt0nXPWqg3eTp6mb9RM3C65RWJiPphWSU3iDgeEd+Oc//0mtWrUq7B4VlZ/KKBuEEA+2/22vH/v9MbbM5/rHn1/l1JH0SnV/t4MqY5kDaNGiBd7e3sTFxSFq/pvG1g4QI+dN4uLeJJY8MYOfd77EvHnz+MMf/nDb5yc7T/z+97/H39+fllcsLDqou3+y3n2J9z7dybAGQSzLvgBAXa8aBOYV0L59e5o0aYI4f4mXpn/A6DpnCHyij7VOVlMiQx7BO2kV7/d9mKGfpNKpUyf2799P3bp1yzxni8XCzZs3sVgsWCwWCgsLycnJYfPmzXz99dcEBgYyd+5cvL29y3wtheJW0aFDB86dO8dnn32GV8oZXvjVK0T3acbOZ6dRL209e3Yf4OL570hOTiY0NPS2zk3TNBYuXMi7777LwIEDqV27NjVrtaagMIi7mrYGNITwotDLG7BwNNUbL03j8hXdEnf//fdz4lQ+tWrfS71u0/FKmQFAjZp1AD022EezsHHTl2RlPW3E3pYVe9kA8PPPP7NlyxZ++OEHOnbsSExMTLlcS6FQlI1yi5kTQvxbCNHJ9P4pIcRhIUSuEGKdEKKedbuXEGK1EOKiEOKtkl7n7bff5ty5c2ha8XR9L+8a1K3Xgjn/n71zj8+x/v/48969k81mM0MODcOWVN8osUQMTVuWc6iYkIVvv5RDDpU5RlEhivL1LfalkL7TRLPIl1L4ppLzIYdixhyGHe5dvz+u+3Ptc1/3dd+7h2nfXK/HYw+7r8Pn+ly3Xe/r9XkfXu8ZM256cvCKFStISkoi4flxpAx7ln51K/L+zq107TGLuPbJTPhcJXVNN6Rp50T4BPNcH3trodNnqesTwK+vjeX7Kf/SErkTo2sQnpeDLbYPlV9ZxL9/2oXXuVOMHz+eGTNmMHPmTCZNmsSQIUPo2rUrMTExjB49moKCAqc5fvrpp9xzzz3Uq1ePqlWrqi8VHx8qVqxIYGAgwcHBhISE0LZtW5YvX06bNm149913zURrE9eFm2Eb/Pz8GDhwIN988w0AGcGRhIz/kPS9+eSe24fV6kfF4HpMmTLlht6bJ5g4cSJz5sxh4T+X8EOtTnyUugP/Cqpn3WKxYLE4muGgPar30NtbJWon/7BQMbgO3j6B2j49LBYrlSo3Zv36r3j99dd54403mDlzJq+++irPPvssnTp1okWLFsyfPx+jaMzUqVNp3LgxderUISwsDD8/P3x8fAgICNBsQ+XKlWncuDG//fYbTZs25f3337+RX5MJEyauA9dN5uyGeT7QUtoWCqQCI4BagAUQZWTtgV+B2kAbi8VSKveSoig8/vjjWCzFnqJ5wyYy+u5XmJ9YBx/fYBo3bszkyZOv675Ki9TUVGbMmMHE+OZ0XZvDypptsGYsYcXyF0iePV47bmgT9Z0W4RPM9E3L+fWKFxUrVqRQKVLvxV7Isb1tAjkT+2PNWMK9ky9qpDCufTJnLPXIz8nm1KlTHD9+nCtXrnDHHXfQq1cvpk6dyo8//kj79u05cOCAZrj37dvHG2+8QXx8POvXr+fnn38mOzsbm83G8OHDCQ8PZ8qUKezerbZFmzp1Kn379kVRFDNHz8Q14WbbhpCQEPr27at9jmufzPzEOtrnKjUfYv/+/Tc91Prxxx8zYerr3B4R4TAfUNuPBYY2pKjFGK1oI7xPZxRFIT/vPBaLlaIidWFW1GIM4X06U9TCOBRlsVgICmnAxEnz+OOPPzh27Bigei2feeYZUlJSmDt3LklJSfYFsWob/vOf/zB//nxGjBhBZmYme/fu5fz589hsNjp06EBUVBTz5s3jv//9L35+fkydOpV27doRFBRUdl+aCRMmSoUbEWZtaR/nkrStE7BDUZTPACwWyzRgDfB/qMbbaj/HApQqac9ms3H58mUUpYjCglxyLx4lODSaI3NeJ26OGnKNqezNcwOSCAkJYfjw4TfgFkvGt99+S9KzyVoLofS9+XSpCDkT+1Mr87TDsYLIfZGRycZtP7B8+XIGDBjA1excAAe5FVtsH9h4zOF8/4CqDBo1nu1tE7SQrRj3aMEFFEXht8IrtGzZktzcXBo0aMBPO/9LY78QNv64j2/ees9hvMrWCij+CnfffTdjxoxh//79LFq0iNdee43Q0FAzqdrEteKm24ZLly6hKAp5V7PIzzvHI+2e1Txfl3MOUpBflSFDhlChQgXi4+Ov9/5KRHa2uuiqF1lf27Z2/Ty35yRGw/zjd/LrTzZ69+7NkFFv4Hf/C9RvaqNjlC+JiTVYvWe8pqUnI7BibQCWLPuv4dhFRVXw8vIiOjoaq9VKrVq1+OnnPQQFRzJq7D+xWD5SxwltyGfPVqVzZBVSfvqJJk2a8OCDD5Kfn88LL7zArl27qFy58rV+LSZMmLjBuG4ypyjKeACLxSKrcd4N7JQ+/wxUs6+01wFJwGEgRVGUXKNxLRbLIGCQfnuPHj1YtGgRhVd/5spVf65eOYXFy5tKodEADKirhiYeGzmZ+dPHcu7cOVJSUjwmJEbixCXhxIkT5FzM5e/DP+Vyzn7Wrp9HeF4OWX59aNAyHhhORFo+AAMTatFg5EwAJr49l4ULF9K+fXuSk5P5dNI0tk1OpemGNAavPqIablSZBehJlxOZxG5sRb2maoi56YY04vJy6NkijgifYEZ8tw5rxhKmjVms3sOFAgoVby7/coCm/pXwke5rUudGACxIO87oKX1ZXxTOmJEvcfzYb3h5ebFp0yZGjBhhyh+YuGaUhW1wZRcAnn/+eTp06ECAbz452RfJu3oGb+9AAirW0o7x8Q0mP+92+vfvz6xZs+jdu7en93JNi5rvvvuO6EaNSpVzej4nhw/em8/hw4epUaMG7yxOJcz6L95JfEU7JjG6Bsx2JHSBoQ2B4v60RvDyspK+/jeiRi3joWqXWPjRMcKrf+YQ6RBjtJ+2j+TZ47nzUkUSe/amyO7J++WXXxg9ejStWrXy+J5MmDBRtiirAohg4Kj4oChKnsViKQSCFUW5BPQsaQBFUd4H3ge1ak1sr1ChAl9//TWbN28mNjaW5ORkli5dSsf2t/PvL3bTNOFlbQybrTobNmygqKiIiRMn4uXlOqp87tw5evTooVWWJiQk0LNnTx544AFuv/12l+fZbDY2b95MZK3qBDzZhUPbrVgzlnAWCG8Zz9nNawCVxIXFxFK5ZbE34KH7mvDNN9/Qvn17CgoKOGOzsSjnDHF5OSqRi66BNWMJA1rGs7bjk0zLzWd5QgYN4maSRbH8wpwd37K9bQLheTns35LBwIRaDnM8qPMMRrapqhHK0TFryN6SQdvxH9KzVTP2Tx/O2JW/0O2553j55Zc5d+4cL774olkAYeJG4bpsgyu7AHD77bfz66+/8uGHH/Lss88yZMgQli1bxpNPPMbiJd9itfoB4OtXiYKCurz55pvk5uYycOBAtxM+cOAAjz32GL///jvnz5/npZdeIiYmhtatW7v1Tl29epXvvvuO22rU1LaF5+Vov2f5hRieF+mv0Dg6iq1bt9KtWzcaVA3hvvvu1p53QMunRUrhkJEYXYPVe06qx6DaCkH8ilqM4dFoKwPqhhIUGgb8jfS9+ayIU+cjbGhgaEPmLrUB3QkKskDhPipUtBETcy9Dhgzhrbfe4oknnnD73ZkwYeLm4IZJk1gsliPAE4qifGuxWGYA+YqijLXv8wXygABFUUrdhFSWIJCRlZVFlSpV+OOPP1i0aBFvv/02ly77ElSpgRZasdkKiIzI58EHH+SNN95wGmPHjh0sW7aMN958G/8KVakYXJcrl/+gIP8CSmh9Aq/s5oEHHuCDDz7gtttuczj3t99+45FHHuG3vft5pkkEXaNqEBYTiy22j0qspg/nYOZpB/Ik4/Bvx0jo9ST/2fYDPXr0YP78+bzcIZGkkCrEpX/M/unDWZB2XDu+baDamqjZ2F7YYvuwes9J0vfm0zHKlwF1A9g/fThhMbEAZG/J0H4XsMX2AYpfKFl+IVgzlmjHZm/J4GDmaS10e7XIxu78S3yYuoSePUvk3ybKEcqT/EBZ2QZXdgFU2yD0GufPn8/ixYspVMK1MCRAYcFlAv1PkpKSwtNPP+1wflFREZmZmSxfvpwFCxcRFFwP/wrVuBRyO0VH1lOkFFLBr5CuXbsyZ84cp7zSb7/9lsTERKpWr84zgwbTo+V9jvMzIHIy0Vv39SZef+9DVq74lObNm9Pw/z7k+IfztPzbAXUDyPIL0QieTNpkGG0XRVVioSme/5U122j25J+vLHPr4ctr+DjeP6WwadMmoqOjXR5novyhPNkGAVOa5PpRVmTuGaCToiiJ9n33AJ8oitLwGsd2abRlnD9/ni5durDth8NUDK6nbS/Iv8DZrB1UqFiLzp1a8tZbb3HkyBGmTZvGqs/WUCGgOv4V1Dy1y7kniG1zL5u3HKFyjZbkntvDpQtHuXr5D3bt+oFGjdTw5J49e3jkkUew/n6Gmt7+RPgE0zbQlwXPz+GIJJnS+pNxAISM/1CbjxqCVY35rFfHkPrJSoIsVqJ9K9I/tFg/bkOuGpo9WnDB8H6TQqrQbGwvh23ZWzIAHMijMNqCAIKxQT+YeZoNufkO1ztWcIUCFE4UlJqDm/gTUZ4MdlnZBk/tAqj6j4888ghZZ/21Zx3U3q5Xi7K4P6oOD7d/hOHDh/Pf//6XcePG8f0PP1EhoDp+FapiK8jFJ+dXCqLvx3L6Kr5+IRQVFXDh3F7ujq7O5+lfUq1aNUDt8tKnTx/efGUMd7eLdyBp7pDlF6IdW1RUROfBz3Pw6DHyQloRnJulHWeUc6cncel7Vdsh96aFYo+dOObQditBez51S9yMkDx7PBv/rxt9U950IsImyjfKk20QMMnc9aOswqyfATMsFstDqDkxU4ClZXQtDZUqVVJXsQ0b8lnafm27t08QIWF3YSu8wiefrmXFitpERkZy9Nhlwqs3x2KxoihFnDn1HWNefpGoqCiOH3+DPfs/p1JIFEGV6uHtXYHGd/2NF/5vGJUrV2bOnDlczgsloFoD5o1Wi/WmjVmsakTZrztv2ESYPYkuJzJZKYU85FX5S63upNU3uxwKGTbk5tM20NcliRNYlHOGRSNma/lvwhN3MPM0YTFrDM+RjXlJRA5ULbyjBZdp7BfMP/6zgfvuu89pTBMmSoE/xTbUrVuXqKgoXnj0UVKmrNC2+1eoileeD7v2nue7ne/wzjvv0LBhQ/YfukxY1WZYLBZstjwuZu/irTmz8fb25rkhz+PnX4VKodFUqnwn/vVrcnvDxgwd8DT+/v4sWLCA12e+xd333e8xkdPDy8uLhYs/YvDqI9riEOwVrdJi0BPIIdfVe046eN28AMOkZTcoajGG1p+MY9GJXF7sP5Bq1apRp04doqKiSjmSCRMmbhTKxDNn//wY8A4QDnwCDFYU5ZoEy0qzAp8zZw6zZs0i+5w/fhXCKbLlgcWC1VpBS2CWk5mVIht5eWe5dP4gPXok8vHHH9sNuJo3t/Gbn6gYXA+r1ZfCwitcvXya5Gc7s3DRevz8wxyunTx7vFN4IjC0ISuWv+AUDhGwZiwBVCIoiNSyrWsB2D99OONW7daqVF0hKaSK9vuinDNE+ARreXMiX67Z2F4O+XpnN69h2+RUAEMSJ1CoFPFrvlqMWKAoPNq1M2+88QYREREu52Piz0d5Wn2XlW0ojV0AGDhwID///DN79l/B168SRbZ8LBYrVm+1Y4IYS9iGIls+V6+e4dL5Q0yZMoFRo9RWYZcvXyaoan1Cg+qwdmQbfDr2I6HTOC5fOMIzT7fm0m1RVK9bXyvG8hSyZ0587vDKMby2TiEwtCGbPkri7OY12nPsitDpQ6oyxHhGqDN0FB2jfKn13CBtcXkg7F6n47anTaVnizjOD5pChU3z2PfjL/iEhdK7d29effVVQkNDS3XfJm4uypNtEDA9c9eP/6l2Xp5izZo1zJkzh7VrVVJUo0YNwsLCOHDoLBUCbsPXrxKgGqXIFo9RWHiZJR8vpHv37g4Va7/88guNGzcmODQa/3ZzNSO4PW2qQ6GFjGRdhZnIcRG5KLJxHbz6iPb7irgQsvxCiGufTGBoQ8L7dGZFXAhrOz7plmy5QoSP2oNSnCeHZEUoVs6vk3PzXF1r/GNRpP56gs9PXGLgwIG8/PLLVKpUqVTzMnFzUB4N9o1Gae2CzWZj8eLFzJ8/n++//57q1atTWFhIdHQ0O/57lICKtfH2VnPfFEUh+9R3eFn92JDxOQ8++KDDWMuXL6dnz57c7RfMkjdf4PH31EVT7rl9FLUYQ72mNuYn1jEseHDlrdOTM+GBG7z6CPMT6zDjgQ5M37S8VF45PfSeOYE6Q0dp813b8UmHSIEgdEUtxpDRehPbJqcy1lqce1jUYgwPpfcjrHdHPvvsM8aNG8fgwYPx8fG55nmaKDuUR9tgkrnrxw3rAFGeEB8fT3p6OsuWLWPnzp0cO3aMOXPmMHrkIC6f2UG9MztIebwG906+iMVixdu7At26dXOSHrh48SJeVj8qBNQgaM+nFLUYQ1GLMS6JHKDlyIFqIF1h9Z6THNpu5dB2tUq069oc4tonA+oL4dB2K1l+IUS2qaoVPpQGRwsuOJCyRTln2DY5lW2TU1mQdtyhOCIsJpaBCbVoG+hL20BfjQjq4edtZfJHn/Jeq0i+eWceDzzwAKdPnzY81oSJ8gar1Ur//v3Ztm0bM2fO5Mcff+TEiROMGTOG3k88wsWcfShFNvLzclRbYPHilfHDnYgcQE5ODqFePgR7eWOL7UPuuX2GeWdZfiHXRb6sGUuYtiuFoU2aO1Wp6xGel6P9GG0He66sXXhYiBUnzx7vIGYs61wC1M/eSf3snTRM6860MYsdutgAeG2dwqNBFdj90acMKarAuy+NIj4+3uwcY8LETcRf0jPnDo8++ijr09dSiMLf537MsikLOZu1gxEvDXXqGlFUVET9+vVJmTqdttERnN28hsffO11isvB6ew5d5ZbxmoiwQJcTmaysWdwbMn1vPllLVjmNWdRiDOtSamvVpnKV6bVAH3oV4di2gb5Etqnq5KUz8s7NmzEMW2wfcib252DmaTaFXWGnVyiZmZmmgGg5Q3lcfd9o3Ei7cPXqVRo3bszBg4eBIr7f9QvLvt/D+yMH896cd5wkOM6cOUP9+vWJzrNwtEpTh33Js8c7eOBdyZGUlE+3f7oqeL4g7bjDc1q5ZXyJ1bDy9Yyu7yrtQ1Thj1u123BO82YMY+ClB9XcYHukYv3oliSPmK3ZmMIihVGf/UjtuHYsX77c9NCVM5RH22B65q4fZVUAUW6xZs0afvvtN15++WWUPd8xcvhjTJr0I35+fk7Henl5MX78eMaOfJFKXcaR9elmj67Rftpm6gwdxbTpw0kc/6FmOAfUDWD/JxnQXSVzidE1SN97xOU44Xk50DJeC4uWlDtnBGFgHT1x0Iziwgfxgji7eY3qpcO5IEJ468LzcggfOZMGI+HYoVyKPv8nXbp04euvvy7VvEyYKE/w9/dn7969HDlyhO7du7NxXTqWU6fwt1ooKipyOr5KlSokJSXxn//8B7+Ltci7pKYpCMHw/RP7AxhKEon0CiEpJEMUJcnnts18EkCTDwJVw1KgJM+fHN6VPXTuoE/TAFVo3BbbB+zzT549ni4nMsnekqEVYQEc3ZjFtMS7mfDTz7z00ku8/fbbbq9lwoSJ68ctR+YsFgsREREkJyczYcIEzp8/z1dffUWTJk0Mj09KSsLb25uZM2dis1XUhEdLwpE5rxOy/kPC83KKDWdeDhu7T9JkAwbULV4xC/X2i9HdqNfUxoq44r6HYTGxHMxMpW2gL4tKURwniFyDkTOdVuigeg7lqle5QAIyIPM0G3KNCeTCw5d5N7WIOnd35b9LOns+KRMmyimsViuRkZH8/e9/JzU1lTp16rBjxw5q1qxpePzMmTNJSUkhMzOTK0+OZFVCOOg8WxFpPRy6vgBaakU6+Q5kTuSqTercSFt8ZfmFOMgPyQsv8bzqn2t5nwzZBsgVsfrzHRd0KqlrG+iramjaj6nX1MaAukFQN96psApU3brk2seZkf6V4XdnwoQetYMrlLjI8ATL/EuflvRXwC1H5gQeeughvvrKM0Pz1FNPsXfvXma88S6hVe7FYrEw2XaMRTlnmLPjWy3XzRWEsey6NkeTGQgMbQhxSXSM8iW9j0qGhCZUYnRt7aUgQ+jOeQqZhBmFYGQvgIxi41xM6PR5e4nRNUhveoR5nRrQYpIXTaqH8NLMdz1uj2TCRHlFv3796NevX4nHWSwWXnnlFbZv306VjwZyNkTtJCGHKI8WXFBb5sUUE6whva2k781X89Tsz+XCw5fh3fdJem4Q41btZp6dzAnvvCBoWX4hZOHomdNDJleyliQAUojWVZhXnB8WA5F2772cRzc/sY6Trp2ALbYPIbF9qJyXw+21f2PPnCXUv7cZi+fMMsw9NGHCxI3BX7IAoizw2muvYbPlUZB/gaIWY7T8NVdETgh7igTos5vXaCtyUIsc5Hw6UekqVuoLD192WM3rk5I9xcHM05zdvEb7ETi7eY0WshGfXaFtoK+Dd0C8DFbEhVA1/zxfLvuY/o93ZNjTfQ27bJgw8VeFxWJh8eLFrNp7kmMbvwRwCDkCToULidE1HCpds/xCSN+bT/refJpuSCPCJ5htk1MdnkmZoMlEyt1zC2reXfKI2SSPmE32lgzD442KNCq3jMcW24ewmFiHXD1QSaCR7Io8RpZfCBUb3MU/lvyLux+K5bFOnfj3v//tdq4mTJi4dtyynrnSwtvbm359e/HJis34bp1C+6Ur1XCpJOgpIPJmhKwAwPzEPgypeZJ/7mmoFTuIcOuh7VbSyQdUYc/Bq4+oxK/3ZVpL4w5MqOUyMdkVNuTmEymRtmljFgPFrcEOZqZqxDTCZ7FDfp3Imxs9pa/WCoy8HKcuEvXrRFD5riiWvTaUvi+P5ffff2fGjBlue+GaMPFXQWhoKE3vv59vNpygd2s1TDkvJpZtk1OdiJCAuzDn6Cl92TY51TBUCvZ8N/s5laX+zwKuzluQdhzSFtM2MJW49I8B1/l2olVYYmwfkOyHgFgM6kmeOHfw6iPqArVRI37fH0D30XXo16Mrr89+lwEDBhhe04QJE9cOk8yVAvfccw9Wq5XPvzhIYnQNupxYQntpf1GLMQzprZhGrmEAACAASURBVHrfVK/bZacxwvt0RjTsWhEXwsLDl0nHUYNufmIdVkedVJOL7ccKgpVkJ1gDE2p5VOF6tOCCJhwsFzQY5d4dLbigkkWR72Ovds3ekkGIvd8sFCdPi8/CsPsAo8JqM/6td9i1axcdOnTgzjvvpFGjRly5coVZs2bxxx9/cOrUKQICAmjdujUPP/wwzZs3x9/f3+19mDBRnnHPPfdQq18/Kj94v7Ytsk2GU/WpnvCA+rx3jCq2FdPGLGb0lL6G13FXASvIlZwzFxYTq9kMgUU5Z1jUIo55M4YRLs1N5NSd3byG8Jbx2mJNvqLYLwTHoZjoCWIZ3jJes2di4berqB6LVqbx90H9yczMpHnz5jRq1Ig777yT3bt389FHH3Hq1ClOnTpF9erVefjhh3n44Ye599578fY2X1MmTJQE8ykpBQ4cOEB+fr7WUqfniNkUJXwCqAnBHaOsmgETXjcjzE+sY+/8EM+AugEMqBugGuC6xYZ1X99+JBdc0JKhxQshrmU8zezGOixmDUxOLZHQyTIkrgoajKAeV0XNmaG/ZtTl1bijYYdPLpyjsW8QRzZu5a3Mb7is2LhcZCMfhZre/gR7eeODhVwUPtj8LTNTJlEU4E+LFi3o2rUrjz/+ONWrV/dofiZMlAfYbDYOHz5M6NnfQCJzcgW5HkJnEmB11EmNOPVs0px5M4Y5HCs8b648bq62CzQb2wvsXkJAkx5KHjGbeTMAe89mOfn87OY1WIH9dq9c9pYMLS1DljYi8zSi4EEmkQPqBmjeQ4GIunVZtGwF69LXsHn5Yj7Yt589WZfIV4qo4xNABYsXnYNCOXvod2Z9mcFrRYV4BwXSvn17unbtSnx8PMHBxhqYJkzc6jDJnIcoKirivffeo3qdHnB38faM1pscGtjLyFqySvt9MJ2Zn1iHAXVzyEJNFM7CcaW7KEfts3ow87SWZyOIU9e1ORzafhGAIb3b0MXuDfNUe+5owYVSVcIKyEZbvAyEYRdSCWLVL0iil8VCdW8/oLjyt0hR8NKJModafcEHCm0KgwcPZsWKFbz88ss0btyYl156icTExNJP2ISJm4wDBw7ww+aNvDHdtZi4gFisJUaHkN70iP332oTn5TCyVQ/mzRhmGDr1BPICS3++3M5vdMwaTZYI0Cruw3WhW73mpJAraRvoq7UQ3JCbrxE6UTUvoM+tC8/LITzQi/DqXmTfXoGDB6vzoV8WCvBMaLhDXu5PI2YDkJ9fxKOPPsqSJUt49tlnadWqFa+++ir3319Mmk2YMGGSOY/h5eXFfffdx6GTOQTt+ZQsvxcANSQyfVM8c5faqNfUBhhXeQmc3bzGcCUc2aYqk6hKA7uGG6iG3wZ0ldp+gZprl5jYhwX2/LeyhiCCSZk4CQwfzDxtl0wpJpVGGlV6IifD22LhracGARDnXYnwXw7Rv2s3nh05gokTJ2K1Wl2ea8LEn4369etjK1KwNI5x2F6Sx0wrgrC30BKtukS16rUQOnFdd3l0crWqgJFsUfaWDIdn+GjBBafuMELM2AgycZUXrXLIt46v2g5QP8a8GcOYNmaxmts77nW6AHEBVTmatZdHH32U6dOnk5SU5O5rMGHiloJJ5kqB1q1b87DFwr8+P6ttO1pwgYWHL6sEbw/MtevEdYzyhZSezF2qKjM9HWVVDRrSilUyoGExsays2YYeky9q56fvVfeLcIxKFoslTK5FQFi/yi7NGItyzpCU6fgSMLqGMPDX0rXieOFF2lesQqSPP/PefIudO3eydOlSs3m3iXILq9XKw490ZOsPO+j0SHEWrZG2o1HO29qOT9JsbC+t6AAwrBZ1BaOuEpVbxrN/+nAOZp528HgJyITPlS5dWEwsk3DuGAOOizoBsVAVcNVlQkCu8jUKSY+e0tehj3T2lgwejokloUYjBo0ezw8//MCsWbPw9b01dcVMmJBhkrlSoFmzZsydO5eL0aM1ozlnx7d07TGL3HP7CAxtWEzk7BCaUkI7Dlwbz/S9+QTtWcUhupGYWANQc+/0JE4Yx9J2hNCvsksDvdyCHmIuRwsuqEKjuqTr0lynwciZrO34JHO7NOG9nbu47777+PLLL6lfv36pxzNh4mbg/vvv58BpdZGnl+gw6pcqQ5AtWWD8bMYSbX9JHj5RGau/RoORMwmzh1T1YwgiJxdN6K9VuWW8lpsrV8QL4mUoTAxOhVJ66L157nILBYq71UDYyd38Y2Bnpm7aTdu2bVmzZg2VKlUqcQwTJv7KMMlcKbBt2zZqRdRhxou1OZuxhEmdGznkyl2M7samuCBNPy59r1qlKmtKGRlArdpt9RFNtsSasYTE2D4kRjseG56Xw9mMJVRuGc/oKX1JtueWlAZGJNAdMZQV6T0Z91rz8yJ8grW8G7Hyf6UlzF2TyaRJk/jHP/5R+kFNmLgJ2LZtGx0ffMCl1IerIga99qM+oUA+3oiwCbgTANaHXeVCBhUZ2vNttNA0CtGK+eivL8/DaE76cKoru6L3yIm5bpMKOV6oqDDHpxoffPABw4cPNxzHhIlbBZYb1ai6LHEjG2pfD6rXiaTFY915bcgzDhIDgtB1OZHpVAwhEouNjLycN9fhlWPa9iG9raUKs+yfPtwhUdkVRHsvwGUItLjqVfWqyYUYAsKgizCOLHlihEmdG2ltzOYn1mHw6iNkLVnF0yk9af3JOBakHdf07URlrKzPtTe3iM6PxlExqCIff/QRDz/8sMffza2K8thM+0ajvNiFq1evUik4mH+kLqPRnY2dNOT2Tx9u+PwY5cS58sIZESdXHn5XkJ9XKPaQGeng6SHmKvQm3XkaXZ0vvIB6uPs+jDBtzGLN3lwsKuSnvAv4W6z8fHA/devWLdW8bkWUR9tgsVjuTOiU+POk12dc91i9u3Xhl59/Klf3dzNgqrqWAu+/M4v0D2az6etMQE7wrUHrT8YBjkZuQN0ArBlLHNpyrd5z0mUrHICgPZ9qsiZy9wh3CIuJZWBCLSZ1bqRVmRlB5LuExcTSbGwvkkKqkBRShQifYJJCqjCpcyMGJtQisk1VBibUclKudwUjIhfhE0yETzCTOjciZPyHDvs6RvlyMbqb9nn6puVat4u49I85/u77bOw+STPyUYFefPn1JgYOfo7Ro0dTHl7gJkwI+Pn58fLfh9C/Ty+O/fYb4Ei4FqQdNzxv2+RUhy4spYEgR0aVq64giFTbQF+n9nxGMOoKUdpzxFzl6xvt9+QexPVluxTk5U0z/1AeCghm6tSpJY5hwsRfFWaYtRSwWq1UC6/CPX+719BoyRpLZzev4ewJtPL+gfTXvFNy7psw+utSatPhlWNqmHXJKrISX3DoHqHXbJLDNuIHKFF7Tm7ULVblzXTzNzKsRqtq2bsnF1TIidJyc25x311OZDJgrJqgHTL+Q61ad35iH1pJ+YfpfTozbVeKdr1WisLSc+f49ttvadGiheH9mTBxs2GxWPCvUo177ryDu8OMPerysyUWd7JXzMjLJj/jRp4wuarc3fXkz3IxhFE7P3GcXkhY3+XBHeRwsN6WyOFTo3noIcKscp6e/viBoeE0fD6R+Cnv8frrr5vFUiZuSZhkzkOcOnWKAQMGMPWNmVQKcSRy4Xk5bM88TVhMcTNsuRH29JHxaqcHSUhYCAt3jPJlQN0AwvNyGNLbyj/3NORidDfC83I08iPCsfqm2Yb5K7F9aAZawvI4qZsDFBtOfSsesTqWiaHYLkPeJ8RIZQhR4g25dgmDyak0AwaI69gTu8ULzZqxhI5RbbT7C+/TmYvbrVxErQAeN6G4fVmETzA9n3+KlStXmmTORLmBqKpM++cHDt0KRPX60YILDmRNhDrVBY8joTJaUMlEyyj3zROUlAunr2x1VVRREowkTuTxQeTquZ+7TFTlfD5XCKkYQJs2bUhLS+Opp54q1ZxNmPgrwCRzHkBRFJKTk3n0sU7c2/Q+zdCt3nOSAXUD2D99OBty8zUPFziuaFWi5dzaS/RkFZ68AS3jSVyu6tdhly8pJoEnXTa3FgZUkD7RJDs8L4d5MY4dGjwxpHK+jzDGrkIsThpTmacdukwsyoFFI2Y79X0VyN6SQZcYqFxXHX9FXAjEqXOwZixhvXRs20BfmnTpQteuXZk+fToWN9p1JkzcDFy9epW+ffvywsjR1KxezWm/3vvlioCV1iuebVBdeqNRWiInQ08ehVSKHqWdu1wMod/epctAVq5caZI5E7ckTDLnBjk5OaSmprJjxw52/fQzqStWORA5UElHWEwsR1fNNpQAkKGXFqH3SRKj1cpYuSOEqIZNjK5BYnQIoJI0WUxUXEtOtpbDtrIXr9nYXg4VbONW7bbn1jm+WIwaZgMOOX6CUOpX2sXhmwwipe2g6tOJvq9J9m168WH5+mIO+3UvvkU5Z0i65x4URWHXrl3cc889Lr9rEybKEkePHmXVqlVkZGRwW81axD0aD/nnHY45u3mN5hlPHjHbKRVB7srgDiLUWBq486h7cm5pjvd0HHEfRhp17iCT2bCYWMJiYINUBCGQkJDA0KFDyc3NJTAw8Lrnb8LE/xLMAgg3GDRoEKtXryYwOIS3352Hr6+vS+kBocMmrz5lg6oSsxrF4US7502/+l14+LJLfSYZsjYUUKKWlWoEY4lsU1V7qRzMPO02CVuvF6VpYEkaVUar5IOZpw23A065fKqOlXMYxVVIpVVgFbp27crKlSuNb9SEiTJGfn4+CQkJ7Nixg/uiG/DqxMmGXmK9bJCQ7ZHhyd+8wPUUTIjx5XCqq5SN0ozlrnhBFGi42ufqc0n3KGSZZITFxHL12EGaN2/O2rVrPbkFEyb+UjA9cy5w4MABNm7cyKB3PqLbPY7l7rKkiMiLcUjondgfpG0l5Z9UbhkPdo+cCKkmRtdwqnrV904E1aiK/Dz9NVwlVMuSBO5yUoTn7+zmNXQBOAFncUZkm6qaARYSKXIRhB4bcvOJlOZnpEavzX3Vbqfz173zHrYGtzNhwgTD8U2YKEukpaVRqVIlpg4faidxilOBkicoTn9QW1wZpSEYQe6L7OmxrsK3+lBoSV65a2kxJp8j68YtSFusySAdLbgA9oiBK0Hh7C3F/V/DW8aTFKIWem3IzSdySwa22D40i2nJihUr6Nq1a6nnacLE/zJMMucC3t7eXCmwkTr5M96XW3SBI5GT9JfEZ+GVOpiZSrOxjtVoRqRu4eHLDKgboIUw9Z4w/bX0cGeAjcRK49I/1n53V+wgtgnja6xJ5fhCUQmca3kUAdlIZ/mFgP37k7epJNVZFDnIy5vvf9lNSkoKPXr0IDo62ukYEybKCt7e3vgoNrc5myWRHrlIaGBCLSJxJi7yZ/X34ufQkwrW4vNcQ190UZIdMYLRotFVoZXAgrTFTuLiSSFV2JCbz4a04wzEOCdw//ThNBg5U4uAyFGGZjFLaOd3iXap/+LBBx/k8ccfp2bNmm7v34SJvwpMMmeAr776ioRHO+JX+05yz+0jaM+n0LSzwzGCXAljJYohRE4IFIcxBaGTy/3FGKI4QiT8D2gZT5buOuBoTGUD6c7jJxpbA0S2cZQEkOcg4MqQi+q7SMO9jtCvqrO3ZBCR5igqLHvsjPpRyqHsSZ0baTpdYgyLxUIjvyDmp0zhzTff5IcffqBBgwYezM6EievDO++8w6hRI+nZ6TGXx8jPnTvIjevdETkZrpray3C1QNOTPX3XB6Pnv7SeOHdE0lHmZLHDPtFlJtIu5VSc1wvyglFdKBdLuwibtCDtOBvGqJ6+aN9AJjw/nLFjx5KdnY3Vqu+rYcLEXw8mmTPAlStXwOLFztQ59Mm84tBrVZYI2TY5VfNyDUA1ZHJSv2g2ry9WKNaPq6P1YxThWjCuIhMhELlYQA3L5jA/sQ5QHP612uU/xLEbcvPBXqQgCOC1NPReYF8x6ytc5ZePrCMl9rfNTEV46zbk5ju9kPT9KK3S2A1GzmR0zBqmjXE0/hW9vKno682Ply5w+vRpk8yZKHMoisLFixepe3ttpowZaXjM/unDtaIHT3C04IJWYa5PewDPq1Y9IWKuiNm1eONKOk4/V5EO4pjq4dwmMCwmloGohK5YvkWFPg9XPrdtphqqXpRzhlCrL6FWX7aeP8uVK1eoWLGiR/dhwsT/MkwyJ+HQoUO8+uqrfLVuHW+8Og5/Pz/mJzrLDYBqZOVwJRiHOSLbVNW6GwAO+nFGlacyxIpZ86K1jGdlzTYAhNg9ejLR1M9PXF8O4ZzdvAZi+zjk5OlDsaIIQyaVwqgetOvpycfLRjVk/IeG96M3zPL3IVbscvWqnL/jLjfIAuTm5rrcb8LEjcD333/PqFGj+P3Yb0waPcLwGFG9KvJFZQ+9KxFvsFdpZ4I+ZUFObxCfr1WGxF06havwql7Xzgj6Z9NofnLIVaAkT//AhFpSukrxdyCLHsuIbFMVMk9rYVtFUbBgITc31yRzJm4JlCmZs1gsjwBzgBrAGuAZIBf4GHgEmKIoyptlOQdP8Msvv/D888+zY8cOuvXsxabPlhMYEKB5sPTVpWc3r3EgaEYhS2HUZMkRcW4XMc6JkqvIZC9aYnQN5i69CEB60yOaR85V71d5Hg7XsR+fGF0D7GEPYbSz/EJI35uDKMLIkUihgFE+jHghLBTeQZx1tURPSOGJEOdbwYHI6XNkhFGP8Al2CNf+UXiVsIjaNGnSxO13aKL84X/FNqxfv55Ro0aR9ccfJPd7iidnTHYQBpaxbXIqSSFVnAhHWAxuu7IYjeMK8vMkSKKopHdlS0qyMWqv09laqFM+xxWhK6n4Qu6xbIS2gb4OHkkZxZ8d71WMZURMhWQJk1P58FwWhwouE9PqIapUKTl/14SJvwLKjMxZLJZQIBXoD2wE3gcmAunAr6iRyeUWi+U9RVEuldU8PMHOnTux2Wx8+fU3+Pr6chkItJOv9L35pO89ooVEjVaxMomTDZ8tto9TSFWGUcsdOQdOkCPROSIxGuo1tTmNJ0K3h7ZbSW96hBVxjt4sI2Oun3P2lgx7fl8vVsSpx++3V+XqWwAdlLTiXF1DvATCYmI5mKkadkHENuQGO63K3bX3Ed5FucflGVs+vxVc4ecvvzQN9v8Y/pdsw/r162nevDljBvbFy8u1kpNIyJe99bItEAsZTyDSMwRkIiMgyIu+FZ8RSur+MHqK8XZXcOeNK24b5n6MsBjna+ojBEJo2HXxlfO5zcb24p0X3yb8zihWr15t5suZuGVQlp65TsAORVE+A7BYLNNQV+BrUdOivFGjZH9613RfX18u5l6m15NztW3hfTrTMeoyh7ZbNQIloPeCucpxE4UMh7ZbWR3l2MFBDp8aVnJKxRHyHIQ3zpqxBOQxwKFQo8HImQ5GXD7OiMgJSZFFI2YjKkgjfIIdmloDTi8Z2SiDPQdPIqOgGvZIOwmUBYSFR0HAFtsHa8aSEmUXLhYVciA/l8Z+QWau3P8m/qdsw4Vft+PllQQYV6OD+izo0y6gmPjo9eVkRPgEu/Rg6dMT9F4sd/lucv5qaapRjWDUU/VaUFL1vID4nkUVr6fX3ZBj4URhLq0OnSUkxDhaYcLEXxEWRSkbe2mxWN4EihRFGWH/7AdcBSoBC4B2QIqiKG97MJZSVvPMz8/nrrvu4nR2BfwrOHt46gwdZehVMwpryqFUPYkyOn+15HUT15C7Lojerfr8NXENkT8nwsCDVx9xGkdcWx+ulatxBZETkHN+ZC+cY0/J4heNkZK9/qUnDLcspCqu02xsL82LOT+xDjl2j6CAMOTT7Krvl4oK+SXvIjW9/angZeUf32RQrVo1qlWrhr+/v9P/y60Ii8WCoijlst/ZjbINZWkXAE6ePMkd9SL44pNl1L29NuCc9hCel8P+6cOdvEbi732bB+FVObypF+IWz5i+a4IryQ+jxvauiJAnJM5dCzI9SiJc7oicUeGUOM6V585onpuOneGdH48zNKEN1UKCafbMcKpVq0bVqlXx8fHx6D7+6iiPtsFisdyZ0Cnx50mvz7jusXp368IvP/9Uru7vZqAsydwC4KiiKJOkbQVAhKIoJ12fqR07CBhk/9h00KBB7g6/Zpw+fZoLFy5wNd8XW+FVp/1+VasTEeKnffZWCim0eGv/yvBWCl1eR5wjfhfIuZrP+auKwzXkfQBV/Ly0c7QxLp0nxycIgBB/X4f56OcmPovxxPEAV/84Tt7FAi7aFIKsxX//fkE+eFcMovDSRad5eVcM0n2uVHyfl847fVb/Vcc5ee6K03hh3t5UalCXM3lFVPHz4vz+w9r1ZfxxPJt8RfVQ2lAoUBQUQEHB6uNDYWEhFosFX19foqKiXOY23Qp4//33y53BFrge23Cz7ALAkSNHwGKhWrXqDs+u/BxxMZvCSxfxr+7owRZ/97m/n+WiTdH+bo1QI7SC9rcunpO8iwUOx+ifh8JLF7XPRs+b0XFGEOe6em7lcTyBfC15PCPobUNJ4+jnpJ9f3sUCAm+rzN4TORQpBfj6+UJhPjYFCgsLsVqt+Pv73/K6lOXRNphk7vpRlmRuBpCvKMpY+2dfIA8IUBTF+Y3ufqwyW4E3a9aMZ5vfwZg/+uK1dYrTfuGZM4KRB8xVZZh8nLyyF5/1HjoB0adVHK8XKhYFGp54DsUc5WOsGUtKXSXnzuuob/XladK3SBwXidOyjIoYf23HJ92OpygKNhR25V2koW8gW3NOMXv2bOrVq0e7du2oVMn9y+WvhPK4+ha4UbahLO1CXl4eVatWpcHfF9KpaVXtGdN75ra3TWBRzhmWbXVsISWLbQNOHm1wDL0K75w7L5jRMyoXKHgawpTPNZrzgrTjht5AcF344Gpu4Do6IdsKGeN0nSD0RRmuvHoHM0+z4Pk5HJnzOgCBoQ1ZsfwFcib2Z+zKXyhEYdvVHAoKC8nOzmbBggXcf//9tGrV6pby6JdH22CSuetHWbou9qDmxgjcAewvLZErS+zbt499e/bQ5MlHqFfTxpGt6vaiFmMciJ2eAMnb9ERGNmBCSFjfckvuICFaeOnlSsCRyDlcX+TYSRp1+uvLxREyWRRhW1BJ5AAXYqH6+xVjil6MclcLPYQmnLs8IT0W5Zyx5+uhiYUuPHyZuUsvsi6lNtaMJWzIzdeMvD40DKqR8saCFchTiqgWGERMh3ZkZGTQr18/mjRpQseOHenUqRONGjXST8HEzUO5tw1paWkEV69Fp6bFuWziOZaf38g2Ve2yIsYQhEQU/BzMPK21sBKCwUcLLmgajuIY+VyjAggjYmNEcuSqe3eQq0IH2jtNuKo2lWFULa9vzSfgtMC058gCTs+z6AShEmDjOegLJZpuSOP4npPMs+9/OqUn4Xk5zEg7jsViwQcL/v7+fJBwH6/vu0Dz5s354osv+Omnn2jVqhUdO3YkMTGRWrVqOV3LhIlrgcVi+RLVvh2lOAfYAiiKorS6kddyXZ51/fgMeMhisTxkr16bAiwtw+uVCosXL6Z58+b836BnuPDd18xPrENgaEOKWoxhSG8rgaENCQxt6KDj5srbBarhssX2YeHhyw4kTO76YFSEIEgWOAr4ysfKx6zec5LVe05q+4Ux1Oe2yA2w5fPF78K74O6eBBHU94gV4++fPpy1HZ9kZKse2vVkWYUIn2DthVUaCO+bPO9tk1M5WnBB8xboNevk63hZLOzNv0SwlzcXv/6O3E3fsyHl7/z0y3kmTprLXXc3oWnTprz99tucPu0oRGripqBc24ZRo0YxbNgwXvz7UBKja2jkzRbbRyV0eTmal67ByJlOUiTuvGJGhQ5ySyp9gZFcyQm47NRgBE+97fr5hsXEOhBJT71xwpboRcWNFn3Cprgae2BCLbXNmQcdL/RzWbt+HmvXzyMxugZZfiFaEVdSSBX8/f14MeMnWmfn8tuqtTwyYgoVgu5l89ajvDRyMvfccw/t2rXjn//8J5cu/amF1Cb+GugIXADaKYrSyv7z0I0mclCGYVYAi8XyGPAOEA58AgxWFCXvGsa54eGUBQsWsGXLFib/33Psnz6ckPEf0rXHLECtZBUwKigAR8+X+Nx1bY5T5anwvs1daqNeU5vLYgqjbULWRN8TViZXMgEUhFLMRyRmi216eBqaNbpfUInktsmOTcLlThUibFQaRXwBEXaq3DKetR2fLG7G7QbzZgyjcst4WtzXGl+Lhereauik/dKVzBs2UTtOURTy885hvT2MvF+/IbjAi1lLF/PYY4/9ZcIt5TGUIuNG2IayCrMOGzaMevXq0bZjguF+V/ZA/rsHdQEiiJgIXwLasyKeHX34FYpFuvWSHK5Clq6gJ2qladklhy+NpFGMNOg8JZriunoyJ4qsRk/pq42nDyOXVJkr+rcKewwwpLeVAXUD6N85gaTRr/DQA83I8guhwyvHHKIwFSrVIzv4Nq4eWU/BmV341Yjh3wtH0qZNm7+MzEl5tA1/5TCrxWJppChK6V+CpUSZZogrivJv4N9leY1rxd/+9jfeffdd7bMwjheju/F0VMkPrTAo4ZLx6hjlSzrF4UwxZmJ0DdKbHtG2Cc+dCJG6MsyCxMlhWHGeJmas660q93UVIRbRJks7xk0/VzB+WbkjekIANCzGTkylNl+yNlxpoHolUlHlyDwL2SbbZVUeCqimvTCzt2Qweq+jxpfFYsHPvzJrl7xLh9iBXLqSRZ+h06g9ejRbt26lalXPvAEmrh3l3TZs2rSJnm1bus091RMrIyIjQpUivCq8zpVbxmuSPRp07aqMvFKekjhXcKc5Z+Shk3tNG40l4MrD5qoyVX+d4t+dtfPcEUSj64aM/5BWPWapfbVDG3Ixupt2/R5XQ7izIIuzm9dgBeo1fZCsPQ21c8P7dGZzXAiQwFs7TzDv7fUkPj2YZlG1+fLLL/H1Ne64Y8KEK9wMIge3cDuvxo0bs2fPHgoKCjVj8nRKT22/LNSrR3heDhgYmAF1AxzyyqclOwAAIABJREFUaWTCtyLO+aXgqnhBnD+gboBT3pw4dkDdAM5mLNH6ucohjZLCweEerJ6Nkr2d5tEynsg2jlIKYC+sQH2RCRKmlzspqTDClcfCE6x/5APWFwAbYV1KH1h9hMBQ1WBv+ihJ82DGtU/Gy8ubCoG3UQGo1aQRXbp0ISMjAz8/5+piE7cG7r77bmbPnm24T+g7gmfESvRFFojwCXYKmRaTImdi4tCGDwxz0GSvuavWgDLcSXy4un5JRVKC+Imij2JJlQzDvDr9Z0+KN0q6LxGFGLz6CLnn9gFo/w6oG8DIvmou74YxizVivWJrPF0pjsR4T3iCnhOKx9y7dS1dvugEGTNITk5m4cKFWCzlxulj4n8MFovlFUVRUspi7FuWzH3yySfUr18fq9WLCvfFsmTFZ3Tq1ZfP9/7ukKtVEtwVRLha8SZKYU9X+nMgCFQxmdOTP3dVs/pOEvI89NpNwlsnCiUE8dTPzejlpXr/hmu5NQ3EuPb9cpXegrTjRKK+4L65nM1DAWFO48nwtBJWxu/1ezqETQavHsWCiv/BtvwFrBlL6Nkizn6cc67cWxPG8XyPx3jzzTcZM2ZMqa9t4q+BZcuWcccddwBw+vQpfty5k/aPxKlECcfn2egZlPsiY1+4iKKetoG+bJucSly6ew+VDJnwGRU5CZTGa+eOyOnthdDKS9Ll7+kJnvhd9q7Jx5XUiUKg8ZDX+Hnua4bzMiJ0Igy8bXIqTE5lWpuqNEibWdzzefpwerbYzbKta2ma8DJ1ho5i4K4UkjKhZ4s4IiVx9HG6sXu2iGPhjGH4TRzPfS3b0blzZxISjMPvJkx4gHaASeZuJHx9ffnjjz/4LH0dX32zmc+/XE9QRAPSz9Q0PF72eLnKcfPUmIqiBXcGVSWUoi9sibJ8HsGIXGoGUpdXZ2R4Xd2j1hdRN3azsb0MwyD6rhI3EmIlroeQkAAofPVf5NrlCwSKWozBJzMVy4WzvP/qJGrXrs1XX33Fxo0bqVmzJh06dKBDhw7cf//9t7R+3a2AoKAgtmzZwsYtMUya+z6HDuyndVQduK06UPzMiL9td8+xq2rXtR2fNOwYcT0oyePmiVyJHqWVSnE3Tmm7R7gKy+qhVQzbq9wXrdpNRFoPR3mVVbs1+31ouxUk/WDRkQac+z+Dmr6hKO9QpMDrPfpz7M0JfPXVV3z77bfcdddddOjQgfbt29O4cWPTa2fiT0OZFkDcKJRVovPOnTt54oknCPDxpuUD93PkTA5nYoZo+/XFCu6KIPReM1eJwSWt6uXruOrcYATZw6afm6ck0yi5Wu5I4ekc9NuSR8zWWoPJUgkihFzruUHX5IVzhTk7viU8L4e1HZ8EcCqeOBB2r8Px9bN3ar9/d+UcClDJy5sQqw+VvHzIU4rIKSogx1aAT6Ug2rRpoxnw22+/nby8PPLy8sjPzycvLw9/f3+qV69+w+7nWlAek5xvNMpSZy4tLY1+/frRunkzrl69StO772Jw3ye1v3FRua0nZPo2Wq56GRvBqMODK3haaKB/pq+F0LnrMlFStwZPxnMFWauvNN8dFPfFFppz/2qVx7hVqnfOnV7lpM6NDGWP8pUitl3NoVpIMM2j6vHrjv0EeXmTq9jIsRWQU1RAaPVqtGvXjg4dOtCuXTsqV67sZBtCQkIIDQ316P7LCuXRNvyVCyBkWCyWbxRFeagsxr6lXQz33nsvP/74I0ePHuXBFi145/2FzD6ortyG9LZ6RORUQuKsB+dKzNNVqACKjaERWSotidLP05NzjI61ZixxWQ0LOh06A0+e6vGbzdGCCxzMPE2DkcXXH2A/vucNJHIAQ5s0d7tf1hGUiRzA8x9+SmBwCJ3vrE3OxP6MW7WbAKyEWn3AB/KvFtGlSxfWr19PSkoKWVlZ+Pn54evri5+fH35+fly4cIGuXbsyceLEP53Umbg2JCQkcOjQIbZv384TPbozZcxIp2OMJElkT5Y7r5acZyoTFaMw5LUQMBlGqR9ivtcLmdzK8LQK1RUBlCVYwmKMv0tHGRe1UEoTGgbmJ/ZhddR40vfmM27CEwBamoUruKq898HCp4/fT7L3VLZaLKz7R22GNmlOBaxUsaq5vVfOXiYmJoaVK1cydOhQLl++rNkEYR8uXLjAkCFDGDlyJBUrVnQ7FxN/SXxRVgPf0p45AJvNRmxsLHFxcTzdMVYrZxel7ODsKRO/A06VqTJKG/YQBksv9OnKu+YuKVqeo6dyBqU9zghG3soZD3TgaMEFzTsHro1mWSMppIrbVfkzP92lhWrXrp+nzV0+xqiAI8InmNFT+pI8YjaFShHHCq9yqjCPV1Im8OKLLxIQEMDNRHlcfd9olHVv1pycHP72t7+R8uLztGvVEnDvldJ3fBA4WnBBy5nT9zuWIUuQ6Bdb1yMBUhoYpWCUJmxrNGdX9+Guo4NsA13ZyZtpQ5JCqhCX/jFNE1522F4/eyfLtq5l//ThDvMR3v/k2eM19YH1vbtwtcjG0cIrnLcV8O7CBfTr1++mS56UR9twq3jmyhK3NJk7d+4cTz75JDabjQVTXsNqtWodGYxCrEYkRyZA+lVqSQa3NFVlRucJyBpU+tCsrENnBFdtxsQ4RuFao84UDl0l6gawf/pwAJfEZ2BCLcNwxs2AK0IX4RPMiO/WAer/58hWPZzmV/jqv+gY5UuXE5l2KZTiMePSP9ZW/hE+wQxNncXAqe+Qc2Q/kyZN4qmnnsLLqyx1uotRHg32jUZZkrmDBw/SpUsXWvztLl4Z/rzDPlckRdZlE9CH+IVAcNtAXyfPXmngivRdD0oiZ54cbwRPCSoUtwEU7fzcXUP+vm9Umsa8GcMctDHFIk3cx72TLxq2fQS1fdhtB5YBqp2Yn1jHZZTgYlEhhwsuU6dxI9544w3at29/Q+bvCcqjbTDJ3PXj5rxZyiF++uknmtxzN7eFBPPepFe11VFidA3DXqyuvFVCJ+5G5KJ4AiMiV1IXB/l3/Y8nkAs/ZCLnqur37OY1jFu1m3GrdjsZ2UmdGzF6Sl+1bVBCLc1jUVokhVRhUufSteSK8Almzo5vebnlPNovXem0/2jBBWY80IGhTZrTs0Wc9hKe1LkRSSFVKHz1Xy7HNpJPqVDvTrq/+CqVT59n7ty5dOvWjStXyk3HKhMukJ6eTrMHHuDRTokMHv2K0/5tk1PdhlBlj1vbQF+Hv/GjBRecFgil6eqgP7asiZxsJ+SuMq6g/16uZa7i+/NEx84Ipe06I45PCqlC5ZbxTvl3lVvGY4vtQ9OEl10SOXCUtvKe8ITbdI8gL2/u8g0if88hBg0axOjRoykqKirVvE2YkHFLeuYOHDhAs2bNmPDS/9E1vqO23ShEKcPdflfhgxsZDnHlyXNXuCDDqC2Xu1w8eRy5vyvYBZLtYsYijABoXjl5ZSt6UQKa50uer5EHzB2SQqrQdEMagJbXVhIifIJZ/8gHBO35VAujTrYdo9nYXtjsvW71idFJIVWYUiVWO77O0FHave/r20+bc0lJ1QBFisL+glwi72/C559/Tnh4uMf3ey0oj6vvG42y8Mx98cUX9OuXxOszZ9HkvvsNn42RrXoAxZ0cZOhJhwid6sNwwjsth1ZvNjwpUtBHHuR9rjxrpb0nMY7RdydvFwUlAkLPTm87BHlelHOGeTOGOd2T/KwK6SQo7tih9/QlhVRhrLW24dz1ObfXggKliN35l0jo2Z1FixaVucZlebQNt5JnzmKxfA2sAlYqinLsRo17SxZAzJo1i249e2lE7kaQLqPzr3dM/bxKM55ePDg8L8dJ+Fds9wRCIkVP6MSY4l/RbUKEMo8WXGBDbrCWMyfm1eGVY+wcG8TZzWuYvmm508vOHSLbVNXmbY2JJamEMMu8GcNoP20zXlunkIsaDrkY3Y1Fad1ZcOlBjrRPVg+01uZfnatq81jw/BwnCZOOUb4MqBtAT/sLZN6MYbR6ahErNqSxSFqJy03UQe0X29AnkKM//JeYmBjS09OpX7++R/dr4uZhypQpjBgzlib33e/2OFHQExbj/FzKhEPsazByJpMoTj0Q3id3nqxrhScV89dyLRH21HvMBMlSJYocRY5dXUtPDN0ROb2WnazjFwlOJFlAJnLZWzIMoxgL0o4zkOKKWREil1MxFuWcIXnp+w4tAesMHYW3vajieiDmW8cnmHXLPuWRkydZtWrVn17xaqJMsQR4FJhosVj2ohK7FYqi7L2eQW+5MOvZs2dZunQpPXsXV2gaufA9SfL3+JoehCeMcL2GXYSAZUFj/Y87iDw5+biOUb4aiZPJobvxBKFpG+jL2c1rGLz6CEF7PiXLL4TsLRl0XZtDyPgPPbonoaC/f/pw9k8fbm+L1Mth/7wZwxxCW+2nbXYap/2XzwBovRsFxDzmzRjmtG9+Yh0So2s4/F/aYvuQe26f5plctnUty7au1RqFy/Oo41uJOj4BcPQkDz30EN9++61H92zi5uD777/nxIkTtG1XnL+kT0k4u3kNbQN9ifAJJrJNVcPq0wYjZzoQG3Gu2K7PlStNCFHMwRPcCGLo6rkW3R6MQpJG1xU2UPx4ImECrrXs5O83KaSKU2hV5NwVV8Sqx+qjE4KUy6HxyDZViWxTVUuviPAJZl/ffqwf3ZLA0IYUtRjDiriQUodzXaFtoC/jpiaxvEczfH/4kZYtW3L06NEbMraJ8gdFURYoitIZtej6ZdT+1GkWi+VHi8UywmKxXJMEwi3nmTt16hS+vr5UDAoCrgJo6uThJeSfedKY3sjwlXUYxRWJ0nvmStukW38Nh56wOBvGAXUDHHShItLyHfLOGoycyf7pwxmYqYYzZjzQgYEJtZifWEcTUnYFEVqV9eMAFqT1cAh3dl2bQ+xGK0PebcO8E5lORK6oxRhuS+vOUVTiN8nnVXq0mIDX1ikEhjYkZ2J/JnVuROWW8QypeZm5qDImybPHM3j1EQ5tt1Kv6YMMDFFV8Yc2aU6sTzC1nhvEvoRPtGq3f7Vy9BhM6tyIJzb5UdRiDA3TutM0z4uEhARiY2Pp168f7du3N8WI/2QcPnyYWrVqOfw/yH/vApFtqtKshFCivK8kjTfRv9UTUd2bSeTcXdtViy5P5iefs21yKhty8x2ExD35HvTFJmoqR7AWCRA9b+WWaUIOaX+bqkzCsZJYLlqRK2kbjISmUmHZxY1qVKzr2hzmf7eOnIn9CYuJdSiGcgV5YSe8fkcLLhDZppGWlzfjVfjsg3k0adKE7t27069fPx544AFTjPiviTDgdiACqAL8BEQC31sslvcVRZno7mQ9bjnP3B133EHz5s35cuk/tG3yKvF6G1l7gtIUH/wZcGeQXRE5gQYjZ9JsbC8ngyx/XpRzhnGrdmu9V60ZS8jekuGyoEFUigpEtqlKs7G9aDa2l8e5dsmzxzPZdoyGad0Bu8TImPfZ2H0S61Jqs3b9PDZ9lORAwAbUDWBdSm0tV06gY5Svw0p+YEItFjw/h3pNbdq2g5mnifAJ1n7Ey0Icc7d/RVaPeoY2bdowYcIEKleuTEREBI0aNSI2NpZ9+4w7WZgoO3Tp0oXff/+d778r9pjqiZxRgrwnMGpiL+Aq5CqfWxrvflkSudIUaxhBPjd7SwaLcs7QNtDXgUyV5KmUvXLCixbZpqrmCRfi5EbzFFX2esjj6L9nT94JnhRyldRjWnhBBz7Ziy9TFxMREUHfvn0JCwujbt263HXXXXTr1o3s7OwSr2Wi/MJisUy0WCw7gMNAF1TtuYaKorRSFGUwcB8wutTj3ooFEDt37qRDh0f497qvqFChgra9tLps8rGeHn+t5+hxo4srPIUseyLDqJBCTjRetnUtWX4hDm215JwWAVkWQGDOjuKXq0jEFkLGcsVYUkgVjr/7PnOX2qjX1MaCiv8B1FBoXPtktqdNpWeLOLWi9u5XNHX4wNCGfPZsVW11LYo2mo3txcBLD5K1ZBXhfTqzIi7EydALpXmBjlG+tP6kuMNjg5EzuXfyRQCmbk52yO2bN2OY9n+Yc+ECx7/+N5fz8vl09gq+qmAhMzNT6xFaWpTHJOcbjbIogPjoo4946+13+OCjJU7eEPnv+1p0324EGXM1hifnGB3jSgzdk+uUJnXEyIMn+jULr5w+3HktpFlcy8jG6omcUYGFgD6ELLTvWj21CFArV7ucyHQomoBr6yctohYCctHZF3vyKMw9jy3/CkX5V8navp6gU7vYtm0blSpVKvW1oHzahlusACIVWAmkK4pySdr+nKIo71osFh+gmaIo/ynNuLdkXOfee+8lom5d1n+ZTqfHuzjtL634r/4cT1toXY8XsDSCntdC+jwltMJzYc1YwlndPmHYInyCGdlK7ZUomo7LeUNyr0t5hS4gQhnZWzIQswlzM5+5qKEQW2wfNUyGGl4V38nou1+hY5Qvc1uMAUClWpu0MVRvn7rSXhEXQlc60zHKl65rc4AH6RilehTnLrXBxmPUa6qed2i7lbnbbcxlAjvHBrF/+nDWdnySdfbwcM8WjoY+e0uGRgYPbbeyLmUI1owljJ6STKUfDrF06VImTiyVp93EdaJXr148//zz7P31V6IbqZ5iV6kTciP6yDYZTmLfpYUnz6knHWT029yN7U6MXH+eJy0KS7MfVK+2LLQcybWTOBlGlf0NRs7U7Iy+qMIIzrqBw3k6ZRIAXU6oDXfj0j9m//ThWlV8nAt9ymtBcdFZCD6o9xARP4hfPxzDunXr6N69+3Vfw8SfginAq0CytGD0ARoC7yqKUgCUisjBLUrmtm7dyuFDB3mgRUyJx8qGyJWRMzIc7ro26NtelQYyyboez1xpvYNyMYSQJBlQN4D9E/s7EbANuflakrhodq1qzqnEThg+V9fWN7set2o3EfYVvLjWwcxUp7CFWNWLUKaQU0nfe4R1KXXInphBUkgVXraTrnUptbXjtj2XSlJIleJ2QFJO1PzEOhrhApi7XfX8eW21V7o2VcOwsuxJ0wRYu/5DFq1q7lDlqsfqPSfJWrKKIGD1np60tr9o/ta6HXPemmWSuZuMxYsXUyW8KnUj/5+9c4/zqcwf+PsxjCIal9GyWZdxmS7bTQmJZGvH0k5SFJZV2gj7KxVyq9xyabUbothsbUwpaYrG0rDJUnZ1FYPBiCQMg0bNMHN+f3y/z5nne+ac8z3fy4y5PO/Xa15mzuU5zzm+5/P9PJ9rQsB2u/elbsfuRdbnFceYwkhbC4uX9yuUd9mqJMm/nQqWex1bKoPhWvns5midl0qREuWz0N1aM9ZVsXLKcLVeT52jXTiLXekUu/mppU+kG7XzW+MD4gWPVo8zx1vkj6+0FkSX5U+2TE2xLaAur2/3TH2JZkV/p2Yc4uKbbmTGon9qZa78sgDYBOwGLsfnZn0Y6BvJoJVSmUtNTeXi2rXJ3v4FV8a1K6aAWVPvre13VEFiFdTWzglWCrr246jNuV6UK2sBYLcvCTdha+36YI0Lis/LKdYNQnW/LEj2KWLH05eYAg8oluzQVnmOsnyIdcV6tHqcGTNXr0NXWo7qThKB7ZGk8nf7xAMMezGGzm+NDxCWMqZu98yR5Ey+n+XKF6rZASMvh5gOXVm48lWatykwrWvxeTm+VbbfUigFdAGY/0/gc5/O21pArYy3OZ14N+Bzz8p9g5vVoJMlhyPptqFMdeg2Ib8cBjerAZP6kLYz36cc4/vMdf2/3/Do7l2cPHkybHeKJnSWL19Ovbp12J+1j1atEx2Pk59P9f924cqDjOngrOxYlRr173C6wdjVgrPWuAxnPHVMiRxbna9dJq/Xa1iVJy81+9TkqmDXkDGG1oWz4z36a02q7FmfYsoYqbAPiqvPHn8CV6DlLoW7xt1H9lu+OaoJGeNXbAeH8il2WMtKWfn+4qvYmVq86Lmm3HA10BloBPzDMIyXhBCbgXlAaKntCpVSmXv22Wdp164djz/+OFes/pDFixdz4EhRUKks8imxs9ZYUZUrNyUr2IsaCl7duV5Rx1ILAavU7dgdpGKH/9mY8SLFx7RbRW+ZmkKbrkWlYdRaU+rztQpun8XNZx1TFTkI/HJQn2/O5PsBn4sle1M6MzcsC+hiEUrsYfM2BezFp8h1ax3LPL9SN7hZDY5vXMXyZY+SJGvW+Xmy43xu+9cD7D97yuzrmtClgVkC5SgwuJnveR9PX+KzQlarzZgOH3L1rxqyfv167rzzTk/z00TOe++9x0svvcTwPw2mT58+PPfccxzbUfTBlos9OyuLTOgJ12oVrqXdTqZEM57WScZ4jZmzFgUOZW7qQlou4JqszOdBAuPcvJQ7CTWbv+24+0hQ6uip8kjdJpGZuSpWL4OK/LzYYVcnVP594SVNKTybx969e2nevLmne9EEIoT4LTAXn0K1CnjAMIzToR4TJseAROAboIXw+Vr3ANdGMmilTICQ5OXl8eSTT7Jy5UpWrlzJT4VFMZOyVIZXwRNu2Q+vTevl32pwrLSoOXWr8NLZwXqtUOasWjGlYJMxcTIoWLpcpZCTAiyhS4NiMUaqAr1w5UEgcMVe0LUfMelLmD72VdN9q7pe9qw/QlLa6/7YtqKixltv7QEU1Z7qtTrHtKY5CUy3bdbnJb9IFu07w7ylBcVa/gydMyHgWvF5OQFztOuaMWbaQBZ/+B9+btSKefPmOf5fOFEWg5yjTUn2Zj1x4gQDBw7k9OnTLF++nJ8P7AEIUOSsX9RqQktJEm48bLgyyqkXrYpTbTm7zFR1cbdlagqAo7XN2udWIl2fMsvdLhZOnZeXBbQ1+UNa6a1eCjvF0a5PrPw8yGOmj33VLJ6uKnJSjrlZRq2MG/U4d3T/HQ899FDQ+7JSFmVDaSZACCHq4FOe7gc+Al4GvjMM45FQjgkXIcQDwN+AG4Bx+MqTxACnDMPo5nauG5XSMiepXr06s2fP5rLLLuPmm29m6sznuOHGovgmp5gLsHevljROSoWTkHZT6CKZr3qualWTwrZIURvJupUHTeEmlTy7KvEys00iFcA964+wZ30KbcfdZ7pj1QQFVViqXwjSjQpFQcry/3NBclHdKDe3eDBFThX6vVbn+GvQFZC1OfD4+SMmw5wJwBlTAZfzS05sZFo6rXRITODJ5Wtt92lKljp16rBixQrGjBnDjTfeyCt/eZaEJk2o27E7CV3SabIy33SlyYVFpIpcKFZiqzvVC+Fk2wPgX0Sp1/JiUXTarnaNkIs/KN6uy1eCpOgc/JYx1SrmNgen66vKmUR9p63x0NZFs1M8oq9gtK8uHcCDqVnsnXqaZdXSA8JC9p89xeKcQHkY7P/Quni//cbrWLt2bVjKnIbfA58ZhvEugBBiOj7L2yMhHhMWhmH8XQixDMgHHgAG4FPm/hnJuJVamZM8+OCDNG3alPv69iUt/d/ExsaWqEVOFUDB+qk6KZPBeqpGAy/WPXW/XC2rq2PfCtS9BpPVZSVjSlSLHkoJAKtSKJF/L0huagrsIalZPuvXqNnFYg6t9xDK6h0CV/17t56mVsbb0Kan7XnzlhYwrG8MqRmHGNysRkAsn/w8WC09N/YexIlFyzlw4ACNG9v3htSUHDExMcyaNYuGDRsyatI0lv/9JcDnsn/Q35orwW0AP17DIbwoSF5b/IVTOiXY3CI9T87JzkUpsSp06nY1nEgqelumppiZ8aG6rKWCZPdOg7Nsd4onlPtk4pVMmBpz1USqrrBv/aXKsEX7zpC2M5/lSYHjq+Euci433XA9Tz3316D3qLHlKkBtqrsNuEQIcZFSKsTLMWFjcdcujHQ80MqcyW233ca111zD2tVpdP99ckD2pnxBrS++nXIAwRU7tzIB4cTTOVmV7PA6T1XZsR4rBWa8IsDqdejKFChmdbO6T6SlTXW7SpeVVN5kFfcx0waSpJQtkeOpK1nrl5YMeh7crAaL9p0xy4XQ9wzgi5Wz61Er79F6v9Ztdv8/qRmH/JmxjwIwhNFmDTvwJ0pkvA30MePrVKSl4tb1KWbQdN2O3TlgXMCZM2eoW7eu7Xw1pcOIESOYPXs223ft5vJWLYGiMhfyc7i6W3/qdSiZHs92BFtEWpMtwrHgBZNFwayDdttlXTaVxTnHzI4MgUpeeoByp8asFY2bwtAn5tCk2quMmTbQtXSLxM4iZ4dT+EqwbTIDdQhZgL9lYI+3+HxcLbNEExBgzT1aPY7XJvpq2PWiJwuS4wLGU68Vn5dD9okcLrnkEtf7rMwIIf4E/EnZ9LJhGC/7f68NmP3SDMPIE0Kc82//MYRjQp3TT4BrXIhhGDXCGRu0MhfAiBEjeOaZZ/jt77qbLX2Ob1wFXfv5sw3tM1etv0eDUIVMOISbQOH0pWDX4sfObZK9KZ0ECMiElfhcVpeb4xytHmcqjXYrdtXtYy0Kmty1H2ltsny/JxaVIXHDTlkP9uVmdcMsT4pjUesJZhLJaxPfDDheFiAF3+crbsIrvJNxiOR1vjpVMhPvQPVf8Otf/5qaNWu6zllTslSrVo0hQ4bw2vurmf5Yy4B91lCBko6Zs47vtjgLNZ7OKXTEi1LnNbt1XW4+6/xlSNR3f/yK7QxSSoHIguIyI9f3nNOLuSST0l5nXafepiLndF2n99otdjjS9ofSQ5BG0X2OmTbQ/N3qzpVZ8gNaB/aEtuPTzz6nU6dOIc+rLFO9MD8q321VjXP4FbeXHQ7JAcxuAUKIWHy60IkQjwkVmR4/FF9JkknAIXztvMYCqyMYWytzKt27d2f+/PnM/+tfeGb4n0AItkxN4eAvu/hWV0m+IH01cF/98IUSs2ZHKKVHnM4Ldo5VgHmNF7MeZ72mLBisBg0P9gsr1RUCRVnB9TqsgqkpSDesNSnCKmid+kFKpLVEXk8KVHWedmVYnCyvdrE1dqVc7Ljru/XUbeabZ3y/Itfr0epxAfdYt2N3epkdJPxz8H95/fvdN7n55puDXktT8gwfPpx27drx9kehoMemAAAgAElEQVSbubtzeyCw2DUUfT7trLteiVZnl2CKiJOFyS52LJp18qQl3i7zXQ21UC1WqhvT7h6e+HQNdW0Uz2AL7GDPwHqc1/9H9f89oE6cw31I1kxq7Fm+fPrZ5/QZ8EdP89EUIwNfTJzkMmC3YRg/hXhMSBiGsR/MBIgEwzBkTM0hIcQfgB34ypOERaXOZrXjxx9/5JZbbqHXb7sysLdvpaQqcFJ4R1rtPVTcEjHCzUz1cp6dILM7z65Qp9xul2UmsXuWpjJocUkWKOVMvM7Vbp91/qkZh3zdHPAJVHm+LGHipMxZlT07N22ocXhQ9Bl7bN02nnr5Ne64446gY1gpixlr0aY05QLA/v37uemmm5gzeSI3XuerIiAXD2pLJ5k1HQ3clDu7RVwk1iTrdSF4vUqv15GfaWurPidkoV2v9TLtcJJZVuu8nfJk9/4Gi2+2Oy5c3OT9kdiL6XpzBz7bupUmTZqEPHZZlA1CiCt69ei27YUpz0Q8Vre+A/jymx1u2az18BXsTcYXC/c68F/DMJ4O5ZhwEUIcBnoahrFZ2XYjsNwwjEvDHbdKpBOraFx00UUsWLCAF19bSv7Zs4Bvxb26W3/AJ9zGr9jO7pkji8VmHK0eF1VXq0ooK+xoX1cqKW73pxYolefI7aqylr0pPWgjbZXpY1+1dV95vW+7+Bk3YRvMDet0nN1qXo27DMbqbv3Nny1TU9i57ge+PHySjh07epqPpuRp0qQJkydPZuai12zfhXW5+SzOOcbQJ+aYLv9g7408xolou22lC1/+ROu61vHs7sku4cGJhSsPkr0pPaT+ryolnRwm32v1R8XLd0EwhdDq9ZF/f5uVxUU1a4alyGnAMIxsYCDwGnAAOAI8K4QYIITIdDsmSlOYAHwghHhZCDFeCPEyvi4Q44Oc54p2s9pw/fXXc9lll/HOqjTuvdNnaV2ccwz8Ch34BJNMmw8Fr/Xf3JIaoqXAuVmSrKtQO5ejlzlLpEvKrD233ldfSnW/qi6rzsDq9UdsK8Or1/WabKIqpFYGN6vhT5Dw3d9R7F2ycr/6b3xejllaJJhwdrMOqpaddbn5fPlzNpf9+krq1Knjen+a0qVfv3489dRTHPpsE42u8wkAGQemZiLvWX+ElqMCz3ULaQiHUMdSrW1elCQ316aqXFjHdSoT0nYcJFisc05FddXWXmoP3GhYPYO5MYNZ5YKd60U+22XTu81Ffa5ZuzN0+EWEGIbxPvC+ZfNr/h+3Y6Jx7YVCiHVAH+BS4Dugs2EY2yIZN2qWOSHEx0KIdsrfvxVC7BZC5Aohlgkhavm3VxFCLBVCZAshHovW9aPN2LFjeWnpMgoKCqjbsTtvbl7N4pxjrMvNN3+3WpiCWWGsGaJ2qJawYMc4rQrdsFoKrNdzG89LLIfdtexYnHPMzEyTq3rpjpU/bcfdFyDQI11tO335Hd+4yh/bUjxrzBpD5xQj6XSfds/bbi71OnQloUsDEro04MYLY/ipcQPGjh0bxl2WPSqSbIiNjeWxxx5j0fL3zFiuMdMGem6sXpLW+2Co1vNIFCL1s+ukFNq9G9JKP6Xn5ebPmGkDzTpzKlJpk/O0dlcI9xmGm8wQynGhXMMpJMTJopu5L4spU6YwcuTIYudpyg+GYewxDGOaYRgPG4bxTKSKHERBmfML5gVAR2VbHSAFeAKf5ikA2TH8NnyBfo2BLkKIiyKdQ0nQuXNn6tatyxsbtpgvlRQ+vVbnMKXn5Z7jP6KBF3eNl/Ot29z+VTHrooV5LamsJXRpwIM9Li1Wjw4CExxUQe71mna/u2GnmKnuU/U+5HanoOlwsFOcCw2DlJjjdO/enXvvta9NVV6oqLJh8ODBbNy4kd179wHutd7OV3iEF8JR6Kz3Y/eu2rlb1fttOWq2+eMrwly8+4Pd3B7sEVo4kZyHdWFm58J0ur9IcPu/t87Bze19tHocdTt258fcXAYNfZjp06dz3XXXRW2emopBNNysHf3jqLVX3KonC3zVjqv6fy+TGRhCCMaOHctTTz3Fbb9Nwtc+zRfztWBCP2ZN83UrWN2tv9lSJhSCuSaDCRW3AFmn7aEkPIT6ZaOOrypEqrVLVd7qdXBuAaSiuoRkDTmr4ua7XlG/1eTERsXcF9JN4Wb1dHKt2h1X/PpF17Y7xrpNRd5foWHw3KeZxLa8ilmzIm9rUwaokLKhZs2ajBgxgsWpHzDt0WG2xyzOOQZTU2g7jmKfWUkoCQTlFbv3zfqO71l/pFidydXd+ptKnqwvJ0Nb3DJOnebgdbs6tpt8dBvX676AsSxlSqzXyz1zhgEjHuW3Pe/h/vvvdxxbU3mJ2DJnGMYEwzAGA9nKZsfqycAafGm++4A1hmHkRjqHkqJ79+6cPXuWw/v3Ep+XYwby50y+33SrLM45ZiZHBCMSwa26VINltnpV9KLp8gk2jrqCV1fy6nmq0mZ3vsR6H04KmBzbLTDbei117CGpWQzxlw2xumHdsM7PS4B0QWEhMz7ZzY+XtmblypXExjo34S4vVGTZMGzYMN5//33OxvkUjjc3Fy8RtTjnmNl7NBy8JCqEO64Xohmbq37+rXUopbU+oUsDs6Du4pxjjF+xnT3rj9B23H20HDWbpLTXXQuuq79Hq8SLG8GSWpx+gp2rEp+Xw4XHv6Pfw//Hr6+7nrlz50Zl7pqKR0klQDhWT/a3wugTbACbCs6lTpUqVXjyySeZNm0aKS88hxCClqNmF1PeFuccI8FSf84rwaw2XlbvXleQkQhnOY9gY3i1bqnzcWrILWPovGSyBrtmsP6RUvjLsYekZnF0yQoAUlv3CWiyjcXSYpcMYTdfx/+nwkKemL2Ac82u5IP336/oRYIjkg1lQS6Ar3fr4MGDmTVrFmMf9BWCnT9rBEOfmBNw3LrcfNr6C49DaAs6t4SCSChJJUfO2W7e1m3W91sWBmZFUb052SXB7p3fPXMkcRNeAezdvypO8jCcODfruJEu0q3zU7kg+yC97kymY6++vPjii1SpogtQVAT8ccKXYDGoGYaxK9wxg34yhBBjhRDnbH7+7nJaDhFWTzYM42XDMK43DON6r+eUBL179+bIkSN8tPkTc1vbcfeZ/UMlapN4N0JNXIiWoIjGKtuL4ApXuKmJD0VFhQP7NIb6JZSacciMNwmVbq1jOZ14N/H9egYoim6WAScLoNv/9blz53j6g08xWlzNypUry5Uidz5kQ1mRCwAjR44kJSWFA985l7ORFvxQE5UkJW1dcsPq7vMqQ5ziXVVFT77XsvyIfHfUOGQZV7u6W39yJt9PzuT7zed4fOMqWo6a7RoLp87d7p6CHVsauD3X06dP07v/H+h0T3+tyFUghBCPA8eATcB/lJ+NkYwb9NPhz7ioavPzgMtpGcCVyt8RV08+X1StWpWpU6cy6+XFFBYWAj6hJN0Bkv1nT4XkvrDLHnVKcvAqSJ0SHKJJuPOwc28G+4Jz6r8a6pei1zgX9ZjBzWqwZlLjgA4SdrjVpQsWx3Pu3DnGjXqcM4Xw3nvvUaNG2G35zguVXTZccsklDBs2jHlvLAd8n1e7zEyrta68EU5ykRPynZaLNhXrc1J7l45fsZ3xK7absqCga7+QZJEXZdqLC9S6GPcqT7wcn5pxyJQnp06dYsSgP9CpR0/mzZunFbmKxRPA1YZhNDAMI175KZ4JFAIl9Ql5F7hZCHGzP3ttGrC0hK5V4tx1113Exsby/poPzW12GVjTx74a0XVCERAq56vcQajzVedoVdSsbla5Wndzs6rCT0Vut7perUq0itqGzPoF4HaP8hp28XlWrMr6sgUvcDbvZ1JTU7nwwgsdz6tgVCjZ8Pjjj/Ovf/2LHbszAV+vUKnQTel5OYPi6hez4kvO13srCbb4tHtXopGwocbNSuu7qsg1qVabJtVqs3DlQVZ368/inGM0qVab+bNGuHbDsHueocinSF2ubmO6zRF8MittZz5pO/NJzTjE5Kcm0O7mTrzwwgtm8p2mwvADEPXFa4nEzBmGkS2EkNWT44G3iF715FJHCMH06dN58MEH6da1C7HVqtkeJ7OwgmW3RhqfEUomV0miXtetqLDE7r5DdSPZxarZYafIOf3tFq9oh93x8Xm+/rR27czwb1djDo8cO8ailGVs2bKFCy64wPE+KhoVTTbUrl2bJ598kulzXuTVF3wxswldGsCKY2aB7P1nTxXr6Qwl36UgHOxi3ZxCJ6IRzyfPn0JR1qrVYpfg0j4x2hnBdvF00RgrFL7d8TU7tn3Nu8vf1opcxWQc8JEQ4m0goEClYRiTwh1U92YNgaSkJH7/+99z5003ANCnfZLtcVN6Xh6V3q1OSQdyWzQSG6KFzPrs1jo2ZIVOoloKvPSjjCbBkjtUZdV6rKq0WfvHqsWQ1Xt6au7LxMXFlVgJkrLYfzHalBW5kJeXR+vWrXn99ddpXqs6gGlRUhkUVz/oQi9YQpRXwhnHSZGTWMfy8r56QV4jJn1JSGNZ5xbus7OeF8n/gd250uLv1ANW7gf4YMfPGO9OZMSIEfTv761KQqiURdlQmr1ZzzdCiM34Si99CRSq+wzDGBruuNoRHwLPPvssU6ZMIfeMr6aZXTkCwOzdGil2Zn9VaEXiUog23VrHFlPk7NygXl1LkZRjsHsObu5Y9TwnZGkSp2Pcgr4hMNB78xt/57333mPcuHGe7kdTtqlevTrPPPMMo0ePRiqXqtIm3ayLc44F/VzLz66X98RtLHUcK05j231+3cIMwinu7UYoPZvl3Kz/hiP/vMbTeZFb6ljq/4/XDP/kat9QWFhI3759PR2vKZf8GrjVMIyHDMMYqv5EMqhW5kLg2muvpXPnzix4tUhQOyl0C1ce9NzU2gteMrXs/i4tQqnDFi6qm9n6LEJxPcfn5dgqmXJfsGtE8ox/zj/L0ynv8/TTTxMXd/4tqpro0L9/f06dOkXaun+b26RsUJOltkxNiVrduHCUqGgmM0Qbpx7MTkTbxRpOcpcT6v9xMGUxPs9XzqldnSq8MHM6zz//vE54qNj8AxgY7UH1JyZEZs6cyWvL32XXnr3mNjuFbv/ZU2yZmkL2pnRzxWkV4l4DkL1S1oSzVPDcMj5VvPSOdLJKBvuSsnZmGNysRlAFNFhWbnxejukackL9Py4sNBj3z3e5umMXhgwZ4nqepnwRExPD3LlzeXr2C5w8ddrcPqXn5QHuVtnT2W2hd3zjKmLSl0TF1WrNlLc7JtgYJS1XpLJjZ+VzuraXzNNQCFZKKNTkiOxN6Uwf+yp92ic5emnUsfI+WMzwnt145LHH6Nixo+3xmgpDF2Cevwf1DiHEdvkTyaA6Zi4M5s+fzz//+U/enDubmJgYABbtO8PavncVO1a2qYHADNiFKw+y/+wpBsXVN5tKeyGagrW0Yu7s4kVCjXFxikWxXgeCuzTcxrCbn9s4aqycep/y95zJ95uB3a8fg4wz8OGHH1K9enXXsSOlLMbFRJuyJhcAhgwZQmFhIU8PexDwKWbTx75q1puTSLkgZYK0SmVvSjdlQzRib0OJrXWz/Jdm+IaXxIpQyw2VJjJOds/6I0CR3HdM4tjwPg/PmMdlST1ZuHBhiSc9lEXZUMli5joDF+MrGiznKQDDMIyXwx63rAlDO8qa0C4sLOSWW26hQ6fO3Nd/AL16P0/uiV1sXfmsY1JEMJzctRDcZRiuMhZMyDv1WFX3uylpbte1i/dzItgXilqqxG2+dtcKV5lTxzi+cRXv/LILaTvzWZDc1Cwz0K11LHd9t57/fvAez67NoPBXjfjkk0+oX794LbJoUxYFdrQpa3IB4OTJk1x55ZU8/9Q4OtzQBvB1KlCL4VpRF3zWpIlIFTr13fEa8+X2vtkph14zQJ32uy3UvGSae10MOoViBLtGsPAWt8QQO1RFdcX855n9ZipNr2tHWlpaqbTxK4uyoZIpc48DU7FksuJT5sKuNaeVuTDZuXMnN910E/98823+e1owb2kBn4+rBThnuQbDTXDbCWKvQsaLUuJW+wiKZ6l6tYK5XU+OMbhZ6MVynTLQ5NzCzah1UjKDCe+6HbuzaN+ZYs8rPi+HB+7qwZV3DeDJJ5+kbt26Xm4vYsqiwI42ZVEuALz//vv8edgwPly2hAsv9JWdsctuDQW3GmtuhFqCx06Z86o4eVHWvFr6QikLFAy3d9rLMwn1uk7nqjU1pSV24Cvv89BDDzFgwIBSK1FUFmVDJVPmfgA6G4aREc1xdcxcmLRu3ZqePXvywdJ/MLhZDT4fV4teq3PotTqH25a+E9aY41dsp0/7pGK9X8F7gV6748J1QzhZ46z7vMbEecFLjE6w/XYZteqPV4ub3XycsvqOb1xl+7xyz5zhk+P5PPbYY6WmyGnOL3fccQcNGjbkX//+yNyWlPa6Y/FgLwx9Yg6ru/V3tPo4vTdeZUY0KG1XbKREe752/wfWa6htzLaseo8jR47wwAMPVKpak5qSKRqsLXMR0Lx5c54bP5p2ba5j0b4zvDbxTXJPFPXJbZH9eUTjB6t4bqd4uK06w3XHSkuXnRszVAudk4vTWm/JrSaT2zarNcFJ0XQqM+LVFWWHGusj42beSdvLtmsTSU8PrexCpJTF1Xe0Katy4eTJk9SvX5/PP/yAupaM5XCt9lasVvxI408jOSeUrNJwLXPWsAYILZs3EgtlsPOc5mtVOKUiJ61yC//1MVUSruL555/3cAfRoyzKhkpmmbsDmANEtWiwtsxFwB133MG//r0B8CsH/XoG7M+sd63ranxQXH3mzxrB3M8+sd0/9Ik5jOrU23YVas1S8yJ4ommhk+OpGaFerYd2yPmH4rZVM8ycrJFyfuq4wVywXkuT2D13tZH4nvVH+OrncyWe7KApW1x88cXcdNNNfLiheN/sKT0vj8o1xq/YHmCp8/reRRJf6zR+NFyfwca0Hh9Kwpi1pFEwK6adXAnFIyKPtdbhq9ehKy1Hzaagaz8KuvbDaHGNlg2Vk7HAYaAW0NDyEzZamYuA0aNH88Z7q9hx6iwAC5KbUth+bMAxe8a+zPct+pBZ71rzRyp4CV0amFmQTuw/e4qhT8zxXIS4NEoJAMXclU6Kj/zdKhDd5hhpvTr1GajXdStFYlciIpRYIYksRSNbOcUIwRl/kWlN5eHpp5/mbwtf4dy5cwHbo9EZRrI45xhDn5gTtbp1oWKVNdEopeS0OFWJRrcJp+uHOpZXeWud85DULBav/5mffoq6t01T9tFFg8sajRo1YtAf/8ikieM5k5sLwJpJjWk6fDRNh4+msP1YsubOCHC9AqTXTuC2pe8QN+EVhl/XLqCkyfxZI8zfpfIHxVfiklBXxaEcryqZ0tVqZ+myYl0N2+3zMi+3beoKWx3TOnYogdSqwLUbx+me1L/3rD/CwpUHWZfrS4S48cJYLbArIbfccgvNWrRk8vMvUFBQELBPfcejgdNiz+t7Fg52SpGdt8Dt/bN7h9XY1mDz9RoS4WaNCxWncYJtP1o9zpQvQ1KzyJo7gypZ6/RCr3LyD3TR4LLHjBkzaJnQnD/c25tv9+8HYHlSHMuT4hjWN8bxvPkjJpN021Ay613L9y36MCiuPpn1ruW26RsDlDgVteCoSkkFHnt1TYZCNNy/anzdkNQs82fRvuKCUVX+3K4Xzmrfyf0ia4rdWjOWWFFFC+xKyptvvsmeQz8wYMSjnDh50txet2N35s8awZSelzMorn5AuMWgOPeyNU5hGeNXbA+QC06LG0m04mmteI0zCxY7J+VNKMlK1vG9Ws683nuklkf5d7fWsdSs0wqhZUNlpUSKBleN0uQqLdWrV2fhwoUsWLCAgX37MHrseH77u+4IIUhOjIM5E4olRljJPbGLcTGNPV3PqeWNXcCuE8GOddrvtt0LbtY6K27lRazH793qU5rTyCc50XlebskXVuS9hvJcszelmxY5Sax2s1Za4uPjWbNmDaNGjaJ7vz/yt8lPc8O1VwNF8VQtR/mObdPjSZi+EWIaU7NFV04n3k2tjLdNubF67XxyJt/PbdM3wvSNtIhkXlFY/KnvhTWW1LotlOu5dYwJVVH0gpPCZXd/VuySr7wojsmJccxLvJsLTu7VVvvKycMlMai2zEUBIQRDhw7lg1WrWPTSAoYOvp/9+/YBPuG0fNmjDJ0zwXS9hsLaMR0DVutDn5jjeKxVWYlktW0N6I30C8CaNOAWgAyQtjOfIalZrmMmJzaiW+tYmrcpoHkbnytLdc+49cT1cl+h3PPxjavMiu+D4urzYI9LAfjvT+e0MleJqVq1KrNnz+Yvf/0bQ0aPY+RTk8k+fqKY5aiw/Vhq1mkF+BZ3VTZPC1gAJt02lHs3FA+WV610W6ammL/bWaTdCOf9Dvb+BLMOWrHLZLcmJIQzPy/JC27xf17dqqFYEZu3KSCu681aNlRCDMP4yOknknG1MhdF2rVrx/ZvtnH3XT25/w99efGFv/Hzzz8DPgG1ILkpw/rG0HT4aFNwB+PKYU8XKzbqVaFT8epycFtdlmRiRTClymn/4GY1WJDclG6tY+nWOrB6ukxGcFPqvM7NbQ4yezWhSwOzRZO0oB44e7rE2/Noyj69evVi5+7dNGyWQNc+/Xl72RsUFhaa+4f1jSmWDe/Grh5v8fGZbOLzcsyEqsU5xwJqVEZzcRcMu4Qj636360tFTl2M2YVGeFHoQkm28kqkC2MrC5Kb0qah/vrVRA/9aYoy1apV47HHHuOLL77g+NEfuPv33fn4o3+b+6VSN2BSH09WuoaNf8PHZ7KLbR/VqbfjOZFY0exW03aC2ClD1c5NYTc/p8QIec6C5KYsT3KvlSetb/F5OcUSM45Wj6PlqNmmUmUXExcNIe+mJCZ0acAZo4Arrrgi4utoyj+1a9fm+eefZ82aNaSvTmPgfX3I2O4Lk5FyYeicCaZcsJMPQ+dM4I1OeQzrG8O2eU/T6OobAvq+WhW6SIgklixYGEMkhOIpcPMAqMkR0Zybl2Pi83KI//m4lg2aqKFj5kqISy+9lLfeeovVq1czfPhw0ld/wIDBf6J5gi/aJTmxEcmToFfvVq7xdOBT6L4/k83NNeqZ2/afPUWf9klm3ap6HboGKCwllRRhN3YoGaNeYmnCdflY57Fo3xmSu/YrpnBGU4DL7g/1OnQ1i4L63K2+humxoipXXXVVVK6lqRhcc801bNy4kcWLF/PnoX/innvuoWefvtSPjzflQmrGBP/CZD5JtxVVLEhObMTwFdvJ3DCZ+cAbm27mY4tsWJxzjISZIwPia+PDLOfh9J66vT/BYs3UffJYq2vV7VrhyrbSkonWeDu1mLjK/u1fcee9fUtsTprKhbbMlTBJSUls27aNdu3a8dCggYwd9bgZTwewfNmjnsaRFjprEeLxK7YzfsV2po991dVKZHVThBoHZ7XEeXXbWq/v5RqhjBdq8VD5OwTWynOKgQlF6avXoSsJXXx9kvesP8LMDcsoaNtGK3OaYlSpUoUHHniAb775hqpVq3JPcg/+MuNZjmf7rPCqctN0+Gjzd5kBL7l3Q3UaNv5NsfHHr9jOlqkpbJmaYpsBHwnhKFdWuePF0m93LadtZQ15L1KRs3o6Fu07w6ZvdmnZoIkaWpkrBS644AJGjx5NZmYmHW5sywMD+jH72SlmKZPVa+d7Gqdh49+QXjuBzHrXFithIIsL92mf5FhgOFRFzE4BCgcnN63dvNRz7MYIReGTLbvs5j4kNYt5SwsYkppl61IO5X6lRa5ux+6mNaTtuPu4duppdmz+RAtsjSP169fnr3/9K9u2bSOu1kXc/fvu/PW5WZw4cdw8xhoLaodTKaPFOccYv2K7KRtCwU7x8hI64fSOWt/zUN9nFbd3NJKM+2idJ7FbbKZmHGLuP3/iyHeHuOyyyyIaX6ORaGWuFKlduzbjxo0jMzOThIQEBvW7l6fGPcnBA9+yeu18hs6Z4DkxQlqA7LDWnIoWXhScYAqjNYvP7hpHq/tqyFnrxlm7TkSCzILt1jrWNWs2mDCXLlZVaMv/G6Mgn6pVC7j88ui0cNJUXBo1asQLL7zAl19+SY3q1bizWxIvPP8Xck6ciFqNRwi9N2woVjjrux2Opdt6rt2iz+s1w5UVdskT4Wa9252fnNiIX/xyH1dc1pILLrggrDlqNFa0MnceuPjii5k4cSKZmZlcfeUV9L2nF9u/2UZyYiMGTOoT4FZxIlhboJJq8xOsrEg4AtTunLSd+bb7rAqdly8HO2RZE3kdteq81/FkFqtKQdd+xE14BYAPn2pE06ZNdf9FjWcuvfRS5s2bx1dffUk1AT17dOPUyZOsXjs/oHyJlRbZn3u+Rp/2SZ5kg9f3zMs7H461zKoI2cmCSLEmajjJMDeL5PGNq9g9c6SZNS//truP+LwcYtKXMKptLZ38oIkqWpk7j8TFxfHMM88w6I9/5N/pPqVAZrUFo02PJ7lt6TtmDN25p94o5n4NFkcnsSsDEI77I1RFzs0VsyC5qekmldut2arhuoDlvUmFDuC1iW8yb2lBwBeEU/yOej01yHzRvjPcPvEAvXo/zzu/7MKOHTu0VU4TFr/61a9YsGAB11x9NVs+9dWSWzOpMcuXPWoblqH2fg5Gk2q1A2rSOeH0+fdaNkQqRk7WPS8Knps1b3CzGq4yJNhYkcbIyvG3TE1hz/ojZimkLVNTqNehq+lhkAtQqehlb0pn+/btWjZooopW5soAAwcO5F8frOSxPw/n4IFvic/LYeicCUHPmz9ishlDlzV3BkBAB4L9Z0+xZWpKUIXOTYBFUgLAbiw7RdHpy8HruKEcZ53P4GY16NY6ltOJdwP2bcuCuVoKuvYLOPd04t18kJHH0qVLuf7660Oel0Yj+fOf/8z0yc8wY+pkTuYUff62rnzW8RxrkpQdbmEaKsHci1ZLlpeFYLB3NZjMCTVRKhSPgd3Ybtc6vnEVbcfdZ/69cOVB2mjvx/cAACAASURBVI67jwd/vInbJx5g3tICXpv4Jr16P0/djt3J3pTOT+cKePfdd7nhhhs8zUmj8YJW5soA1157LTt27KBL50707303E+Yt4nfN63tS6KyoNaeAYu2lnAglmDgcQrXyqRayYK7dSBncrAZrJjVmzaTAlmp21j/1y0G2ZJL74/Ny+HxcLZq3KeCbN1I5cuQII0faJ6NoNF6488472bFjB3G1LuLO7km8uXSJuc9OoatZp5W5wHOy1FllBNjHnnmNcbP7VxLK+2mNlXP6seIljs8ON6XNq3dCvv9SOR4zbSAFXfuxd2sMtTLeNjt55J7YxaJ9Z4ib8AqLf67HjTfeSLdu3VzH1mhCQdeZKyNceOGFjBs3jkGDBtGla1d+ffU1JHf9Dd7yXJ3Zf/ZUQFxX3Y7dg65UnRQn6wo8lNWu0zXs9i3ad4Z5SwtIa5Pl6nIO1xrnZbt0kQAB7l71eGnxjFcUOplM0S5+FyNHTtTxcpqIqV+/Pi+++CIPP/wwnW7uSHK7azna/PJiMWOF7ccyduNQnuw4nyqbp5nbM+tdS806rWiY+aa5bfyK7Qxa35+ELg2Cxt+6EYoVyytWOWO3zUusm9sCVXXFqn/bne9WMkXKADUJ6ii+jh7Qh+TERsSkLyF7Uzq9lxYwjwMYmz/liy++0J1hNFFFW+bKGI0aNaJ7t27sz8oC7KvAu3HuqTeKbZM1p9R6U+EIXa+rVWuZAivB4la8zkUlGsHQbtdyclXLGlKL9p0JyIrd+vV2EhISSmxOmsrHlVdeybXXteGz74vKllgTIqbV70qVzdOKWe3sWoXJsiWyi4obXq3goSQ6hKv4eSmPEgpeEjHsrPTSOm/HaxPfJG1nPsOva8fQJ+YwfsV2n4L3n0n8+OOPNGzYMOR5ajRuaGWuDNKyZUv2Z/kKC6+Z1Jimw0ebP8Fq0snYOStScKuE6gKx4nS+k7LmVo5EJTmxEcP6xkTdKuc2D+s2GU83uFkNc5udQietcTIrFmDPf+FU9lGaNGkS9hw1GjtatWrFt37ZkJzYyEyIaDp8tOnSA1+C1NaVz7J2TEdaZH9O1WfudRxz6BNz2D1zpCc3ZiiZq3ZuU3VMuzIkweJqgy0Oo4Uc07pI9LL4vH3iAXJP7CJr7oyAxfXavndRcO4nzp6toq1ymqgTsTInhBgohMgSQvwohPhICNHav/23QojdQohcIcQyIUQt//YqQoilQohsIcRjkV6/ItKqVSu+3b/fFF7Lk+JYnhTHguSm3D7xgCdr3fxZI4oVFpZ4iYUJ1Qrn5Ibwej07hc6J1IxDDEnNCrCE2R1v9+UglS+1WLDMQrUWELYirXDyR67Ku7WONX8AfpnwPRfF1an0LlYtG6JPq1atTKu9pFfv5zm6ZEXAtpp1WnG0ehzv/LILu3q8RWa9a83Wf3ZIC52dYiXxmj1udXl6WcC5La6sMXzhJEBYt9khF2vqXLzIIfBVDujTPok+7ZN4duNQs7xU1twZAfGLBQU/k5TUxdPcNZpQiEiZE0K0BOYBQ4F4YDXwhhCiDpACPAFcCghgsv+024AdQGOgixDiokjmUBHxrb6zim1PzThElc3TqLJ5Gk2Hj3asOZVZ71pum76RcTGNyax3rafsNite0/RDTeeXRCO2Btzdq07z2rs1hr1bY4qdu3drjONYdu4UGVeXnNiIwc1qmKVOEsW3XHNF5a7srmVDyeBb6GWZf6dmHDID7GvWaUVh+7EUth9LfL+eDEnNYv6IyWb83L0bqruWLtkyNcV8J7yU8bDiFHvmFTtlMRKrm9dkCVkyJJRxUjMOkbYzn71bY8jelB6QVLI455ijJfSREXfRvHlzL9PXaEIi0gSIW4H1hmGkAQghngOmAr8HPjMM413/9unAKuARfMI7xn9tARgRzqHC8ctf/pKcnBPk5edzqpYvS8oqUPZujaGWx/HSayeYRUW3TE0hSQnYD4abgLbLXPOSPBEpvtXyIeV3d2QBTxno3bxNgf/cxhwFkhPjoO8h20QHN+SqPDmxSLFL/d8PbFvwN5a/vtj7DVVMtGwoAZo1a8axI0fMv5MTG8GcCbw28U1yT+yiyuZpFLYfa1rx7VbrTarVts1oTejSgIU784FDxd4rp3fYLlnB7ng7i5oXi506biRKntt7vWVqipn1f2vNFJLSXi92Dbv7l4u/PeuPYIe1kPOOWgnMnTuXDRs2hDR3jcYLkbpZ3wVGKH+3Ac4AVwHqJ3kbcIl/pb0GuAzYB6wxDCPXbmAhxJ+EEP8TQvwvwjmWO6pUqcJFF11E7eaJtvtr1mlFrYy3zdpoXnhz82rAt2oMFacyBV4UH7tEiGhY5dQCwm7jHq0eR8tRswMy9lSXqMSuAKm6Wvfi4ikoOMfx1Gd5YvhD9OjRI+R7qmCUiGyozHIBfC0BT58+HbBNjesEqJXxNqkZh8xFi5WZG5bZbpedS6JFMHeoXVycHW5ZpW7neUHWiRszbSBjpg0EihZ/bvMf3KwGw/rGMKxvjCeZuqvOlfx47gDz5s3T/Vg1JUJEljnDMH6QvwshegELgDHA1cB+5bg8IcQ5oLZhGD8CfTyM/TLwsn/sSrdCr1mzJrm5ucWESWH7sZzGJ7ABhiqrcjdkn1Op1IWL1VIXbomSkghadsK6wvZizQtWaDk+L8dUCGW267H/7aVlw3ieeeaZyCZcASgp2aDlgk8uqNi9SzIhR4ZiqPLB7vgpPYuXOpHHBlPIVPeol8xVa1kiO8ub3Tys40QTWfg7wV/G6fjGVY6ZqgCjOvXm1pqxjvtV5s0YTttR8xg65A/07t078slqNDYEVeaEEGOBSTa7XjUM4wEhRH3g7/hW3g8YhvGeEGIWcKEyRqz/WieiM+2KT82aNfnxxx85qwixtJ35VNnsy1Y93X4sw/rGkLYzP6giB75MqkgVOTdB7VQbyk4IR1uR8/JlEK1r2HG0ehz//nIHy5elsm3/QWJinGPvKhJaNpQ+Upmr//MJjl1Qx9w+YFIfXptYVEdu79YYmrcpMK33at254de1KzZuvQ5dzfAF62LHySLtRfly2x5MQXOqHRduCZJgpGYcojOBNeOkUnd84yrkW+2lFZrKHSNn0apONWbOnBndCWs0CkHdrIZhTDMMo6rNzwNCiJrARiAbSDQM4z3/aRnAlcowlwG7DcP4Kep3UEG56KKLiq3Au7WOpWadVqabNW1nvqc+rgCD4uoHdZVGQ0A6jefkqo0GoYzr9Ti3VbnVapefn8/Ty1bzdMdE6te3zyCuiGjZUPrExsYihCD/7NmA9ys5sREDJvUpFnrRvE1BMXfr3M8+KTautSVdSeNFMYy2rLDKCet7nJzYiJajZhd792U/VYns9rAuN9+1w86uHm+RUbsVBwvPsfqLHVSrVi0at6HR2BJpzFw/4HvDMO73u0gk7wI3CyFu9mevTQOWRnitSoW0zKmoAjv3xC4zANep7VfT4aMpbD+Wrqf2eOrF6LV8iJfMNombgiibUJckTnWrrPu9Yud+zdq3l4aNfsmQf30R0VwrGFo2lBA1a9bkQEGs7XsnrXGqAmeND026bahtcXEnQin663XBWJIWNjvsLIJSaZNdcey8B3aLunodupouVrtEkik9L2dXj7eosnkaZ/NPcc89d9GoUekoyZrKS6TZrFcBnf0xLyoJwEDgNXxlCd4CnDtDa4pRpUoVzp2zPlb/yrnvIebhc7MOSc1yLBScNXcGa9bOZ/jKUyxceZAxHZYECCc1ZiUSy5aXWnR2Y5S0FcDO/ev1Xq3JD1LpHNyxuxkgney3Zuz44nsuv9y5hlclRcuGEqJKlSoUFPiUNfXz7EsKgtTWh0jb6du/d2sMaRS3HmXNnUHNFn3MFl85k+83k4ScMlSteHmP1PnZyYFQZZCTLPEig6zHSheqnIf6t7rITO7aj5bKew+BiWSy9NP+s6d4c/NqjlaPYw3Qq3crBv2hLRdccEHQ+9JoIiUiy5xhGMMNw6hi42bZbxjG+4ZhNDMM4yLDMAYZhpEXrUlXBrKysmjWrJnjfl/vP1iQ3NSsL+XG/rOnKOjaLyTXhdeVc2kmM0RCKDE+dTt2NxVf9Rkc37jKjKmRlsXt27drZc6Clg0lw6lTp8jLy6NO3brmNus7KusdSpzqJzrF2kaqwIU6ptMxqqIXDct6qJbAtJ35AZ1dABauPMjClQcDtqmZsOq1Mr96ke3bt3PFFVd4vqZGEy66nVcZJC8vj0OHDlEt56jtflmWQ1q2li97NKDquIq6wrR2PlCxuiPlSrYkFLVouFbU6utOhFIXy+l4iWztJZW8o9XjWLXtNH9/+XXmz59Pp06dQrsBjSYM9uzZQ0JCAkII1/dIygaZ9e6E7BJjZ5XzSqiWebtyRU77IkluckvCOFo9znyPgxGfl8Pqbv0Zv2I7+8+eKuZaLejaLyBhAmDXmUIeffRRPv74Y2644YaQ567RhEqkblZNCZCVlUWjSxqQc1FgML2dK0IKmrbj7mPc9EB3a4vsz1nb9y7A5wpo1TrWtTBuSa667a4jFc1Q3a2pGYfMzL3U1n2Cnu/03EJBdb0kJzbi6/QP2D9vOjd16MDUjz8mMdG+JqBGE00yMzP5Zf26trFn1s/4guSmDKEnA1rHMHicz5N9fOMqbpu+0TxmXExj1s66z3NBXut1rdvdzre6VYNdwzpeKOVJvJRLsbPGy/Glyzo+L4dRnXoXU+BU1+qsG28392dvSmfNEcH8F56nb7/+bN++nUsuuSTofDWaSNHKXBkkMzOTRk3sXax2sR+Lc4756yM59wIdM20gdZvVgCgGHHsVrk7CPTmxUbEECK+xM6cT7w5qdQh2fXW/VbF0+3IyDIPRY8bw9zfepnt356xXjSbaZGZm0rTxpQHb3BQWM9s9L4c+7ZMAaAEBbb0e/PEmFoQwB6dyIcFwSpgIZ2EVrnXfeq6dbFi07wxpO3OY/tUkhq/YHrCvSbXaPNjjUup16Gpuy96Uzp71R1iXm0/MVe2Z88yz/O+Lr2jVyr7dokZTEmhlrgyyZ88eGv/qVwHbrFXQVSE0KK4+41dsp2aLPgFxMJn1rg1oKROtwpvW64ey+rViV9PKei3rvsHNapA8KQ541HY+TvN0O7YoNiawztbZs+f4ascXHD78PRcCQgje2fAO9Zq15He/+53rvWk00WbPnj20atzYVaEK1QqdNXcGQxhtxtmpn/9QMtytyQxe5YzXenPquxtsfOuxdtdTj1X3zVt6mloZK6j3UFfwK3NTel7OnvVHSOjSgJajZnO0ehw/nTnD1199Sc4Ndal9TS61p83hjQNn+P1dd2tFLgzyj3wXtFi7F86dPhmF2ZQ/tDJXBsnMzOTSxr+y3Wcn+NqOu491Y1+FzDddG2mrY5RWSYBQMmXtcJqrm7BWz7Weo/6rbpdfZKOSbmTLli28v2EDH330EZ988gkJCQm0aNECIQSG4Ws6MHPmTIQQYd+XRhMOmZmZ3H7jda7H2L1zXr4kVSXOajG3C2WIdm04O4XULoYuXPmVmnGItJ355rsuF3ALkpsGjO8rxt6TLVOHA76uOcc3ruLa+SP5z3/+wwspy9mwYQNfffUVV199NY0aNfLJha4dED/8wNNPPx32M9BowkUrc2WQzMxMku5Idj3GKtB8dY/qM87m2EFx9X3BvkGu6yXuJdh5TvujIeStgj4141CAW9SLFcFprv1+UYWX3nmf+v27c/nll9OpUyf+/Oc/s2zZMurUqWN7jkZT2mRmZtL00kuDHmd9H+p27M7cz/oRr7hbJTXrtArIfg1W+9Ep1jVc92uohBvW4RUzXi7pddpUjyPj2DEW/WcX741uxA033EDnzp2ZMmUK7dq1o0aNGsEH1GhKAa3MlUEyMzOLuVmDkdClAQ98/WtQ3KzSxZqU9npIY4UqDL0I7WDKVrCsNes17L5wvCp06vV++vln/r1pM1PnLKBdu3ZkZmbyi1/8wnUMjeZ8cObMGY4dO0bDSxpwPMix1jAIX9LQYgAa4pMNdp0gVKQVSypt4RT4DqcupddjvF5PIpW0or+LrmV33pxtP1A1czUvzZvD/fffzw8//EDNmjXDmpdGU9JoZa6MkZ+fz7fffuvoZnXio3umwNdFvRmlIjelZ1H9s2itkkMt+eF0jlPWWmrGIeYt9bUhUi0GaiaudJFIgWyX1ec0/uEvPmHlnm9JT09ny5YtXHXVVbz44oskJQVaLDSassTu3btp0aJF0N6/du9acmIjkpc96su89G+LSV/iWp7Dzlon3ztrVwn1OKvFTro31fMGN/NZtEor3EO9llVWyb8Nw+C/n37C3p07SE9PZ8eOHdx8882sXbuWq6++utTmqdGEg64zV8bYs2cPjRs3JjbWXlg6kbYzn9wTu8zerRJZP6osEok7xOnLRM1MtY5/QfZBZox9nMFPjOXYsWOMHDmSQ4cOsWnTJq3Iaco8GRkZtG7d2nF/sLqQw69rF1Biw2udNTfslDE7C97erTFkzZ1hKnXHN64yfyTy92D14dTfo1UH8/D33zPq/4bzt+dmUrVqVWbOnMmxY8f44IMPtCKnKRdoy1wZY+fOnSQmJkYUZyZb9MiCoKES7rXDyWi1c9EmJzYieVLR3+qXgzqWk0Inz0lObGQe/+nmTUwe9yTdevTgm2++oXbt2q73otGUNTIyMqJaz9CaIepEoLUtvF7KVTZPA3xK3eCkGhz/rvgxXpVLaykhu0xa6+/yPGttPMMwePed5cx9/i888sgjjB49mqpV9deipvyhP7VlDCmw3UptWLszxOBTbOa1H8vfqz3F+EyfItd23H2lOnc7xcyrUqi6WCEwuNouk066aXCItZPn/PzzzyyYPpkP/7OZha+8oi1wmnLLzp076datW1jnWt9LGX7hRaFzehe9xMn6arbl03T4aI4uWcGAvjGmBU7tEy23xSsKneyVanc9r/OwC7sw3a3Z2Tz+zFSOnjzNhx9+qC1wmnKNVubKGDt37uSmm26y3edUiqOgaz8G5+WQPCmO4df56iKpSQ9e6stFy10RzpjRvrYU9IWFhUx64hFiL6rN119/TVxc9O9RoyktMjIyeOSRR0J+X+R7P6Xn5YxfsZ35s0YEZLeH+/45nefUZWb5skeJz8uxtcrZzTfcY+xKD1n5MTeXvkP/TLc7fs+0adNCDmvRaMoaWpkrY2RkZND5N7eHfN7R6nHkTL4f8FUpd0pSiGbAsdOKPlwXrdfznFwpVivD35+bxqmf8/lw5RtUr+7cHUOjKesUFhayc+dO8kVVlz4vPuzciwBxE17htnsO8Q6QHMQSpyYtWAtpS+xq0VkVucHNapjnxqQvYfem9IDuCVZUa5xqlVP3q/uOb1xFtn9Mu+PtKCgo4OEx4+nQqTOzZs3S9SI1FQKtzJUhDMNg+44dNGnWPKzz63XoSpOVB6M2HzcFK9yOD8GuY/elMSQ1y/y9m01/WbuVeMqKVP718SY2b96sFTlNuee7776jRo2a1KpVK2C7qlDJd0d9B6VStndrjBm3Vth+LPS1V9Cs7N0aw7ytBdD3EIOb1QgIh7BmqKpxqrbvp1/ZksqXVNzsFDT1bxX1eJUtU1NYnDOHQXH1zS4NTjzzl79B7AW8+OKLWpHTVBi0MleGOHnyJAXnzoVcpFYK9MEdu3NrzRTW5eYHOSOQaLtZ7HAqSBzMUqh+WbklPKjjfv3Vl8ycv5ANGzZQv354SSAaTVli7969XPqrxlEZq3mbAnyRtqGhWr7TduZzdMkKAOYl3u0fE9J2Zpn9YJ2Usj3rjwCBCp0bi/adAYrct9bjfZa+dFhxjMU5x2iyMp8xHezHfev9Vfznsy/YvHkz1apVC/URaDRlFq3MlSEOHz5M/fgGYa8WF+07w+C010mYOZKY9CUUdO1n7gs30zScfSpeEyLsujtI1J6R8Xk5ZtKDPF5+wchzvl2XzkMPPeRaxkGjKU9I2RAqslBuautDJE+aHzScweo6bd6mgL1bY/xWuEOmC3bv1hiqKAXK926NMY9PzfBZ8aQFbvfMkX4FzkdCl6L7CKbI+RRH+b4fKkp8slCvQ1fmd+jKlqkpAP5/UwJ6qQKsXJvOlClTdPyspsKhlbkyxOHDh8O2JEmXR9rOfBZMeAXSl0TcRisa2PVbdNsfGKsTqMhJN46dCyc+L8d0Gw2b/Q13dHusZG5IozkPHD58mMZ1ajm+06qypSLfj8HNarB78v0MX7GdQXH1SUp7PahsMHuYkl/MKt68TQFHM3z1LE8r2yTHN64ylaiWHbsDI81G9V6QSl58Xg4LkpuaCqLTsfJe2nTtZ96z1R0bn5fDth07adOmjac5aDTlCa3MlSEOHz5MPYsyZye81YbRUnh3ax1rbovPy2H3pvSAVa+da/N8K3qhYFdZ3oq8r2/3ZNKyZcvSmJZGUyocPnyY+Hr1AHuZYFW2VIUme1M6AONX+DLdF+ccg279HRU6u8VU0WIxy2+Fi4HEu83j1G4tyYmN4LuieRzfuMp0hVoVOrf4OPVeVEXOLmYumEyLz8vhx9xcsk8c51chtkrUaMoDugNEGeLw4cPUi48vtt3qqpTxKlLADm5Wg7u+W8/Ci/7DpQ//iT7tk0y3htfWWiVJKC7Z5MRGLEhuyoLkpsW+oKQLSMbQOHFjh5v45BP3vpMaTXni8OHDNKhfr9h2uxpwXjLW26xb6fhe7t0aY7pNVcVu79YYji5ZQa2Mt80fdR/4ZFFM+hKAYh0eAEfLnDzOGkNnfdftFDl1W87k+x07S1xUsybNmifw+eef285BoynPaGWuDOHmZlUF9ILkpgyY1IcFyU3NlW/2pnR/RtcxoKjOnFtP1NLsi+i1LIrsr6q6TVVun3iA1ya+Sa/Vzi7ktpe1Yt26dRHPWaMpK/zwww+mZc6uQLYMQ5DsnjmS3TNHmlY5NWbt+xZ9uH3iAdu2W2k7801FTVXq9m6NCVDeTifezWm/ZU5ul4rflqkp5nVV6nXoav7sWX8k4Bi1HIlUvhbtO8O8pQX0Wm3vNpVkb0pn98yRjOrUm/ErtjN97KsBc1CVw5uuu5r09OJz02jKO9rNWoY4fPgwVzVr7CnWbXCzGgGJAD4hCQkudZzC7c4QLUK5nrVlj90Xj1McTfaJEzRs2DD8iWo0ZQyfm7Wu5+P3rD/Cutx8bq3ps27LRd6guPpM8x9jt1jq1jqW1yzbji5Z4Ut2UHo+SwUu98Qucv1/7+VujibHmdY3a6kRuznKrFbwKW/JiY2K5dl2ax3rOIbKgz0uDXpM9okcLRs0FRKtzJURCgsL+fTTT7nzFvvuD1bUWBN15ekUJ1cWCSXD1vzi6XsI6GN7nnTRbN+1m95/GBitaWo055Xjx4+zNzOTxo2C14UDGNWpN7fWjOXWmrGsy81n/9lTAfuXL3vU8dzkxEYwqQ/zlhYU25d7Yhc167QiV8liVff5FLziY0tr25apKaaiJ8snJfiP8b3zRS7Vo9XjSE6MI3kSptvWDtW6Zy0crMYLyu3bd+3mmmuucRxPoymvaGWujJCamkpsFbjhGl9/QDtFR+3NGqySunq8235w74taUnhxuUqLnF1hVMlR5fd4RWDrPouaisK0cWNIuvUW6taxf5fV9zZn8v3sP3uKxTm+TjBWRW5dbj5JSikfux6ng5vVIHlSnFms+2hG4PUK248FisqWmOe3KSA+L4ccfFa3eh2KigJLpWqhv6i5nNf4FdsZtP4ISR27m5nqxwlM4LCS7SD71KxWVb74lMh0alzfiYMHD5KYmGj7HDWa8oxW5soAhmEwbdo0/jx4kGONOS/9VYPhFLdWmiVMQp2/nYs1Jn2JKbitc99/8DuyT5zQAltTITh9+jSL33yLd/+x0PEdlbFqd323xMxYBYopctZt85YWkNYmKyArHnwKVHzH7mZJkLR+PcmdOyNgnDWT/OEgyYFzOu63oi3OOQZ+JUrG69lZCc1ju/Wn7bj7OK7MQWIXf2fdJpVHqVru3pTOwpUHzetNoQFr311Bi4sv1MWCNRUSrcyVAdauXcuZM2f47S2dbfcHU7Sc0vvdzrOe45RwIPFSGsSNSJRQNUtPfllYS63Iv+ctfo2Hhw3XAltTIXjppZfo2PYGEpo0CbBC2zF97KvFtg2Kq2/Gy0n6tE9i7mfFs71VV6iUC7537xBpw0f7rHAZb5v15HbPHFncten/t0m12r7rrjhGKNgpbipqLKCaGZvQpUFAApjK/FkjKCgsZNUb6Yyf+1RI89FoygtamSsDPPfcc4wZM4bsC+sWayLvxJ71Rxi/Yg4whybVavNgj0sDOj54xa6djl2ygXW7F8UuXAXO2tFBLRRsztXSBeJsfj5PTp3Blq+28fz8l8K6rkZTljAMg9mzZ/PqX2c5HpOaccgs4bPWxuq18P/m0q11LGv73hWwPWfy/ayZ9Ir5t3RvrsvNp62NC3NBclNSWx8ibWdPurWOZUhqFstHzfbH56WYx0kFa8y0gaZiprpEt0xNsbXQSQWybsfuAR0jVIVNKnKA2bZLKnUtR82mXodVtFXG3DI1hbbj7uNk7k9MXvclF1xwAb169XJ8lhpNeUYrc2WAkydP0qJFCyDQ4uRkWTu+cRVtx93HurGvsv/sKW6tGUu9Dl0pHrLsTLA2OhKnbgxuOGXNhqLcqcfadX5Qx80+dozxox6jQYMG/Pe//+Xiiy/2fB2Npixz4sQJmv2qsa0suH3iAWplvM3pxLsZ1jfGNkYOfO/w8s2rGdWpd8B+a4jClqkp7D97ii1TU0hK6x5wjbR+Pc33f/6IyQC0mQurP13DrBtvN8dtsjLfzCqVHSAKUPpHp3WHbv1ZrLzKg+KKyjFZY+SsRYbV+e8/e4p1ubXB72KV9wA+pXTMtIHs+u4HHn/jX/Ts2ZMZM2ZQtar+ytNUTHSduTJAw4YN+f777z0fLxWxB3tcyqC4+rQdd59n/bFdpwAAIABJREFU5UzlaPU480dFKmuqImf3tx1u5U+crudEsWQH/3nqGIZhMHv6VNq1a8c777yjFTlNhUEIQcOGDdlxsvh7l5pxiFoZb5tZpGk7i8qQqBxdssL83W6/rOm4ult/n7XL7x7dPXNkwHFqvTmVpNuGBpQE2X/2lJnkIK3rsmNN2s58Fu07Q9tx9xWbh7Te2ckxaaWzc6FKtkxNMa1+i3OO8WCPSzm0YQ1j3k5nwoQJ/OUvf9GKnKZCoz/dZQCpzCVc/mvX42LSl4Ai7GRtOTXuDbz1Q5VIq5fq1gSf4rZ3a0xAv0XrOU6EmkxhTcxQz3dS6CS7vv6CrKws3nnnHapU0WsTTcWiYcOGHDt6hF81aRKwPW1nvlkiJPfELga0Lq6oNalWm8wTuzi9NYbjF60KUIb2KNas7E3pLM45xqC4+qYVbM/6I7TtsITmbW6CNj2Jp4C0nQUM6xvL/M2B14mb8AqsaBewLXtTOvWA5K79GJKaVdRRgnxo3YVBccXj26Qc8BUVtux3iL3zWeqKLHtSsdyz/gh777+Hqwt3MmjQINtzNZqKhFbmygBeLHMypkVFpuhb3Zheeq/aFeSVlrdurWN9vV6VBtuy76v81wvWUidOSmC4sXWnTp3ikUce4a233iI21tucNJryRMOGDTl6NDD14faJB6iy2ZddWrNOK+L79SRtZz4JuYEWvP1nT9F0+GgWJDdm6HVzAvYVZZsGJhHETXiF2yceoPn/FbBu7J9YvqF7QEuteUsLirlzhqRmmV8kU3pebiZFSJep1Zonr6UqaFumptAWXwKFVC69oiZEyGvXH1uD0bfcwpdfful5HI2mPCMMwzjfcwiKEKLsT1KjKVvsNwyj6fmeREmi5YJGExZlTjYIIa64o+1V26YN6BnxWH1mvMw33x6yr/FVgSkXljnDMEr8P0YI8T/DMK4v6euUd/RzCo5+RqVDacgF0P+fXtHPKTj6GWlKCh1kpNFoNBqNRlOO0cqcRqPRaDQaTTlGK3NFvHy+J1BO0M8pOPoZVSz0/6c39HMKjn5GmhJBK3N+DMPQL5kH9HMKjn5GFQv9/+kN/ZyCo5+RpqTQypxGo9FoNBpNOUYrcxqNRqPRaDTlGK3MaTQajUaj0ZRjKrQyJ4QYKITIEkL8KIT4SAjR2r/9CSHEQf/2fwshEpVzfiuE2C2EyBVCLBNC1PJvryKEWCqEyBZCPHa+7qkkEEIMF0J8L4Q4JYRYKYRo6N9u+yzc9lXU5+TyjGw/Y/59leoZlSe0bPCGlg3B0bJBUxaosMqcEKIlMA8YCsQDq4E3hBA3AiOBm4F6wKfAi/5z6gApwBPApYAAJvuHvA3YATQGugghLiq1mylBhBBXAs8AdwKNgNPATLdnUdmek8szsv2M+c+pVM+oPKFlgze0bAiOlg2askKFVeaAW4H1hmGkGYbxE/AccDVg+H9k94sYMNue/h74zDCMdw3DOAFMB+717xP+Y6v6f68orYQ6ASsNw/jUMIwfgSXAFbg/i8r2nJyeke1nTAhRl8r3jMoTWjZ4Q8uG4GjZoCkTVGRl7l1ghPJ3G+AM8BnwHrAL+Bl4GBjrP+Yq4HPlnG3AJf7V0RrgMmAfsMYwjNwSnX3psRB4EEAIUQ/oB2zC/VlUtufk9IycPmOnqHzPqDyhZYM3tGwIjpYNmjJBuejNGg6GYfwgfxdC9AIWAGOAzkBP4DpgNzAT32rqBqA2sF8ZI08IcQ6o7V919Sm1GyglDMM4CyCEeBBfQcuf8Zn6B+LwLKhkz8npGTl9xgzDOCeEqFTPqDyhZYM3tGwIjpYNmrJCRbbMIYSoL4RIBf4GPGAYxlx8sQ3/NAzjc/+LMwa43m/+zgEuVM6Pxafwnij92ZcuhmEsBGoAo/GtKn/E+VlUyudkfUZCiGoOnzGopM+ovKBlg3e0bAiOlg2a802FVeaEEDWBjUA2kGgYxnv+XWcsh54DCoCfgAzgSmXfZcBuf8xDhUQIMU4I0R/Af5/zgbrAQZyfRaV6Ti7PqAH2nzGoZM+oPKFlgze0bAiOlg2askKFVebwxS58bxjG/f5VtmQl0F8IcZ0Q4kLgaWC1/0V6F7hZCHGzP+NoGrC0tCdeyhwFxgghmgshLgAeB74G/oHzs6hsz8npGXXH/jMGle8ZlSe0bPCGlg3B0bJBUyaoyMrcVUBnIcQ59Qf4FngSWAYcBhKBBwAMw8jGFw/yGnAAOAI8ez4mX4q8AqzFF7T7A77srF5uz6ISPifbZ4TDZ0wI0aQSPqPyhJYN3tCyIThaNmjKBMIwdOazRqPRaDSa84MQ4oo72l61bdqAnhGP1WfGy3zz7SERhWmVKyqyZU6j0Wg0Go2mwqOVOY1Go9FoNJpyjFbmNBqNRqPRaMoxWpnTaDQajUajKcdoZU6j0Wg0Gk2lRwjxWyHEbiFErhBimRCiVpDjPxZCtCut+bmhlTmNRqPRaDSVGn/NvxTgCeBSQACTHY79rRBiAdCx9GbojlbmNBqNRqPRVHZ+D3xmGMa7hmGcAKYD9zoc2xFfCzZrQejzRtXzPQGNRqPRaDSa88xVwOfK39uAS4QQF1m7eBiGMQFACPGbUpyfK1qZ02g0Go1Gc17JO/I92ZvSIx7nXO5phBB/Av6kbH7ZMIyXg5xaG9gv/zAMI8/fGaY2ZcgC54R2s2o0Go1Go6kwGIbxsmEY1ys/piInhBhr02btHD7j1oXKcbH+bSdK/w5CRytzGo1Go9FoKgWGYUwzDKOq9QfYCFypHHoZsNswjJ/Oz0xDQytzGo1Go9FoKjvvAjcLIW72Z7ZOA5ae5zl5RitzGo1Go9FoKjWGYWQDA4HXgAPAEeBZACHEACFE5nmcXlB0AoRGo9FoNJpKj2EY7wPv22x/DZ+SZ93etBSm5QltmdNoNBqNRqMpx2hlTqPRaDQajaYco5U5jUaj0Wg0mnKMVuY0Go1Go9FoyjFamdNoNBqNRqMpx2hlTqPRaDQajaYcU66UOSHE/wkh+gQ55l0hRJzDvqZCCEMIscpm3zv+fU2FEI8JITL97TzkfiGE2CKEmCmEuMV/7BDLGE8LIRb4f/+HECJHCHGJ5ZgsIUQ7/+/3CCH2CSFyhRAfCSESvT8NjUYDgXJBCLFcCPGTEKKNEGKFyzl/9L/DT1i2xwghjgghsvx/vy+E+KflmF8IIU4LIX5n2X6vEOLf0bovjUaj8Uq5UeaEELWBAcDbQQ5dDEx02X8O6CCEuFgZuwZws38fwN+An4A/K+f1BxoCk/x/5wPThBD1Xa51IfCc3Q4hRD1gETAMqA/8F1joMpZGo7FgIxfu+n/2zjw+pnP/4+8zkz0SWVGhQUpSqpTSShURVRHXXmtRitJye6uqaim11VKqpZeiRRWltig/2w1aSlHdbq/aQpQqIhGJRPbz++PMmZw5OTNJSAie9+vldTNnfc65ne98nu/zXYD6siwfBeIlSWrv4PQUoItuWzPAVfP5n0BnSZIaabZNBf4jy/L/3dbgBQKBoIS4Z8QcMAjYJMtyLoAkSZGSJP0mSdINSZLWSpLkZzluC9DJIpaMyAV2A+0029oC+yz7kGU5B0VkjZUkKUCSJHeU1h5vyLJ8w3LOWWAvMMPBmBcBHSRJetZg31PAL7Is/5+l99syoI6DawkEgoJY7YKmQvv/JEkKQZksjXdw7mGguiRJVTTbugBWz70sy2eB6cAcAEmS6gHdgH+V3CMIBALB7XEvibkuKCIMi/FdBQwBqqB40WYDWMTeYeB5B9daj+2MvItlmxVZlr9DqQQ9ERgJHJNlWe8VfB14QV02NeAvYALwiSRJ+m4bO9UxSpLkBfQHDjgYs0AgKIjVLsiy/IhlWxVZluNkWf4fUFWSpMp2zs0FYlC8eUiSJAEdAf3y7EygkiRJXVHszDRZls+V7GMIBALBrXNPiDlJkkxAI+B/lk29gXWyLB+QZTkZRTB11JzyGxDu4JJbgAhJkjwlSXIFnrNs0/MW0AN4Axiu3ynL8nlgMvBvyxiN+BjI058vy3KOLMsZkiS1Bq5b7rHcwZgFAoEGA7tgxH9xbAu0E7smKBOw89oDZFnOBIahePqqYpk4CgQCQVnhnhBzgD/KWK9bPgcDgyVJypAkKQM4DnhJkuRm2Z8E2JuNI8tyCrAfiAJaA0dkWb5ucNxllBi8LbIsn7RzuQ8BZ2ConXvlAq8CEyRJeshg/07ADWXpZoUkSZXsjVsgENigtwtGOLQFKF692pZEpS7ABqODZFneAZwCZsiynAXWZImgWxm4QCAQlCT3iphTlygly/9eAebIsuwmy7IbUB54SpblDMt+GcUb5gh1Rm7XgFtIA9Lt7bTE1w1F8dAF2jnmAEqAtjUZQpKkAWomnSzLWZYl3KuA+HEQCIqG3i4Y4dAWyLKcjRIj1wllubU4tuAhlNhZFQ8gA4FAILjD3CtiLgHFSPpaPq8HekiS9KgkSZ4oyx7vaI73BS4Xcs3NKF65aJS4mVtGluX9lmsMdHDY25b7qd65C8AbkiTVkyTJRZKkvij/fxy7nbEIBA8QertgRFFswXoU+3FDluVTxbj/30CmJEm9JEkKRvGu/16M8wUCgaBEuCfEnMX7dRioa/n8X2A0SpzbFZRl11c1pzwG/FDINZOAoyiJDVdKYJhvATfs7ZRlORFF0LlYPu8E5qE8QyIwGGhvyWwVCASFoLcLdijUFqAkI/ni2CtndP9clMSlaSihHnkoma8CgUBwR5FkWb7bYygSkiSNBMrLsuyo1IAaFH0CaCLL8tU7MjiBQHBXcGQXJEkKBb6UZblRwTMFAkFZQZKkOq2rBf4+Jjz0tq81ePsvnEhMdRR6cV9yT3jmLCwB2hmU+NDTFtguhJxA8EDgyC4MQnjKBALBA8A9I+YsJUg+RSkV4ohB5HdpEAgE9zH27IKlw0sdWZbXG54oEAgE9xGFebnKFLIsLyzCMR3uxFgEAkHZwMguWEoNRd2F4QgEAsEd557xzAkEAoFAIBAICnJPeOaqVasmnzsnuucIBMXgnCzL1e72IEoTYRcEglvivrcNDyL3hJg7d+4cnz1Ui8Wvzyd+/gyqDXsbp/fyQ2T6+wTwTtMFmA5Ow9O3Fru3jKZhw4ZcuXIFpd2iQPBgYal7dl9z7tw5mrr72Wyb/9MPxBy/yLYTWUSFutD5rz34NY1myVml1m8Dp1TmzJnD7t2778aQBYK7zoNgGx5E7gkxBzDWXBXmzwAgfv4M8H/Cuu+dJmOo0TCXhOO1SLt2kkqVKpGVlcXVq1cJDDRsyiAQCO5DzLErGdg0mg5hlQnMTGYJEXwyNdW6f9+UWpw4cQJZlsVETyAQ3DfcM2LOEaaD0zjDGEzXlPapR44cwcPDA1dX17s8MoFAcCeZPmY5g9rF4h8eSUJkb7adSMbr+Ebr/r1761OlShUh5AQCwX3FPS/mPH1rAZAKVBv2NvHzZzB58mSmT5+Ot7f33R2cQCC4o5zLTiFuzxX8wyHm+EUAUsO6AiDLMu+915ctW7bczSEKBAJBiXNPZbNWG/a2zWdP31oE9u5EalhXajTMJSrUhYeHvsn3339P+/bt79IoBQLBnWLBrOEAnPZ/wvqvzbYvGXTjGesxNRrmUqNhLrmp53F2dqZ+/fp3a7gCgUBQKtxTYi5+/gwiU+LyvXFhXTlz1GwVcgA56Sl4eHjg6+uo97ZAILgfeG76/gLbGrZ7h/j5M/ji3TUAVtvgemI9NWvWFEusAoHgvuOeEnOgLKN8Vve/DJ033jrjXtihmnV/82AJs9l89wYoEAjKBGnXTnLmaL4tSA96WtgGgUBwX3LPxcyd9n8C//CmdAirTIcwZVtgZrJ1f9+m9fn0+nVSU1Px8vK6S6MUCAR3gsiUOH54pDtYkp+M2HYiC4BqTYI4ud7+cQKBQHCvcs955gA6fnqF1u+eZ0hMPAAJrj5sO5HFJ6tyycrKws3NjevXr9/dQRaBvLw85syZw6xZszh79uzdHo5AcM8R6x1CmgMhp6V5DWeSk5MLP7AMkJaWxoQJE5g3bx7Xrl2728MRCARlnHtGzMlyboFtZ46arYIOlEDnzUs/pX79+jz00EN3cHTFJy8vj0GDBrF+/XrOnDlD06ZNOX36tHX/+fPnWbx48V0coUBQ9rnu5o0sy3b312io2I2oUBdOb1vLiy++eKeGdsvcuHGDtm3b8vvvv/Ptt98SGRlJSkqKdf/Ro0fZtGnTXRyhQCAoa9wzy6yp18/g7VPTmvwA4HV8HWfoSkyoUoLgzFEzFbPO88orr5Tp2Jj4+Hhef/11/jr2K/O+2oSziws7duwgLi6ORx55hDNnztCiRQuSk5Np2LAhDRo0uNtDFgjKJDU94jiXmIO7p+3kLa/JGF7rZaZDWGVijl+kQ1hllv3+X+bMmnmXRlo0fvzxR17u14caYY8xbvIUEq9epVN0G65du4a3tzd79+7lhRdeQJZlmjVrhp+fX+EXFQgE9z33jJirGGjmytUzyLJMOb9Q63av4+v4ZFVXTAdnYAJcmviRmppq/0J3kezsbGbPns0HH3yA5/V01s98gwrcZPfRX6hYsSKtW7cGlKLHtWrVomPHjrz77ruiLpZAYIdly5bx/PPPU65pe/p0bwNgaeWlCDmADmGVqRdWExcXlzJrG1JSUnjnnXdYu/Zrwrv1o15kW7Kysti5JYZevXoRHKx0YNq1axd9+vQhNTWV2bNnM3Xq1Ls8coFAUBa4Z8TcwYMHad++PWFhVViy5COcnZ15qOo0QOkAAZCTc5M9e/YwYcKEuzlUK//3f/9HQkICVapUAWDkyJFUqFCB6jdycHN2Z89vJ5g4bi5Vq1ZlzJgxSJLEtWvXuHTpEgcPHmTz5s3MmzcPFxcXXFxceOyxx1i3bp31egLBg84TTzxBbGws7dq1w/lxb0aPHs27ksSvx08B+clRu3btIjMzk5CQkLs5XCsrVqzAbDZTpUoVrly5whtvvEGFsMcxuTzK//alcT1hGTO+WUtYWBjz588H4MKFC6SkpHD48GHWrl1L/fr1+eCDD3BxcaF169YsX76ccuXK3eUnEwgEd4N7RsxVrFiRPXv20LFjR/r06cO331/l7/P/AeChqq2Ug+Q83NzcqF69+l0b565du1i5ciUZGRls27YN17QMsuQ8cmSZyk5uBMRdI91kJtjZm+rJf+Kal83cuXO5cOECbdq0YdeuPbiXC8Lp8RFU63cQHv83PnVzIC+H3+M206RJE2JiYsTSq0BgoW7duhw8eJCIiAhkWaZ9+SzqvTaRi78esR7z6+pPqVGjBj4+PndljLIss3TpUvbu3cuNGzfYv38/1VIzuJabjUeQP+9OnsaMOT9gMp0k7dpJajbozB/fbmfRokV89913jBw5kuN/HOO5Zs/y1qD+JN/MYvf3P5CTk0NmZiZzZrxPs2bN+OabbwgKCrorzygQCO4eJSbmJEnaB7wly/IPls/PA/OBysBW4GVZllMlSTIBXwLPA9NkWZ5d1Ht4eHjw22+/kZmZiatng3wRp47h2Skk/DCFiRMnMnPmnY2NkWWZmTNn8tFHHzF+/Hh8fX35X8AzfDmsDcMaPA3AlE618Rn/OcmTBxC35wphrdoy8tEIoqKiaNiwIafPZhIc1peKfbtZrppn+V8TZ466U0k2k5juS+vWrTlx4gT+/v6G43BUFDUnJ4fU1FRu3LhBamoqaWlpZGdnk5ubS25uLnl5iiBetGgRhw4dwt/fn927d+Pi4lLCb0zwoHAnbIO/vz8nT57k559/5qVxo5i06Vs6hFUmMDOZBFcfmg4bz6JWz7By5co7ngSRmZnJa6+9xqFDh3jzzTfx8PDgTI12bOpTl1HNulHrw2U0DqtM30nBLBg+GYBhHZ8j4+h/aNy4MdHR0Qzv25PwRk/i4uwMQAJgMpkIktNJ8PLh3clT+WzRQlq2bMmJEycMx1GYbcjMzLTahRs3bpCenk5OTo7VNkiSRFpaGsuWLeOnn36iSZMmrFixosTfl0AgKD63LeYshrkT0FSzzRdYDQwAvgUWAZOBfwHPAX8AA4G1kiR9KsvyjaLeb82aNbRo0YKKnjJga5hCnswjM+RlPlv8Ou+8884d7QLx0UcfsWbNGjYvW0TlihV5YmoqpoNLOLphvvWYmqPm0CUmnvWj5hC350X8mkbjtXUbAKfjs3D3qMj+VYNJcPWxBm2D0mPyk6NKVp6bRwUSr5yjR48e+Pn5YTabSU9P59KlS/z9999cunSJZs2asWrVKgIDAwuMccSIEXh5eeHl5UW5cuXw9PTk+vXr1kzawMBAzGYz7dq146uvvqJRo0bk5eUhEBSXO2kbXF1dmTRpEmvWrCFp/1YIirDZ7+7hwYieHZkxYwa9evXCZLpzifxDhw4lKSmJtLynmTLnsHX7qb+X0tLThcUnsgDL933eeKsI9fL0BKBloydoEd6kwHXVJWRVsL48eAhLFi7ghRdewGw2YzKZSElJsdqFhIQE+vXrx7x583Bzc7O51ssvv8wXX3xhYxs8PDz466+/+PvvvwEICQkhLi6OxYsX07dvX0aMGFFKb0wgEBSXkvDMNbVcR2t02wM/ybK8CUCSpOkoM/B/oSgws+UcCbBfV8CAuLg4evfuTey3lwrsi58/g7wmY+jSpQuvvPIKq1evvmNZrTt27GDChAk4PxxKAvBar3Q+YQxtxnqxtIkSmJ3g6gMoBnh3WhbVZ7zBqm+PERISwqN+Eu/3U37zzLEr6QzwF/g1jaZDWGW2NYznDF3xOr4OJzd/Dt8IRfppAwCSZMJkcsVkroJPQHUOHjpFw4YNmTVrFvXr16dGjRps2rSJEW+Oxqt8GHUzLkFiuvIPaDnsZVavXs1nn31GaGgo4eHhvPLKK4SFKVWZXV1d78g7FNx33FHbkJiYSN++fYF0Ov+1B/6CJCCwaTQATw97l+U/9WPy5Ml3LK5WlmW2b99OtlwdJyflNag9pWu26U/NUdBGPTgzmYHVPSAzmbT0dHZ+u4+QkBCuJefXzFRsiG2hdBVJkvhk0WdcvZpAXl4eebm5VHaVqBAQgFNQDYJMmYyeMp2mTZsyadIk6tSpQ6VKlfj0009ZvXYdL0//N++2su1bO+Dt8Tz88MN8/PHHmEwmmjdvTs+ePTl27Bje3t6l8s4EAkHxue3pqSzL42VZHggkajY/Dvys+fw7UFGSpHLATuBR4CywU5bltOLcz8fHhz/++IOcnHQyMxK5dCGWnJx0637TwWls/r9TJCcn079/f3Jycm710YpMXl4ehw4dYn9SLoGZyQRmJtMhrDKv9VKE5IJZw5nSqbb1+ARXH0ZP68fqYxcwVXuUzZs3cyj+b36O+9N6zOGpq23uERXqQo2GuQT27kSVgQOp3fFZ3D0q4e5RCTf3Cri4lsfJyR2TyQmv8o+Qmu7LihUraNu2LZ6enrz0+juU9320QAkHgH3zFmM2m/nhhx/o1q0bFy9eZMiQIVSuXJkaNWqIXpaCW+Ju2IYjR46Q++jTrD51lYjXp7Fn8pdsj3qRpP1bkSSJKTNns2rVKqZPn36bT1c0Lly4QNrlK5jN+Z6wwN6dWN/GfuyeLMuMmjSNFpGtmD9/PktWreGvv5XJq2pfElx9rMJOS8NGjXg+qi1R0e2Ibt+BJ55vT1DDcCpWqoRv+fIsnDmNzq0j+fDDD3nmmWfw9PRk7bp19J8yl6HRLQBsrv3OKwM4ffo0R48e5amnniI9PZ3w8HBatmxJjRo1SvBNCQSC26G0EiC8gXPqB1mWMyVJygG8Lcsm3Qu7gCRJg4HB+u0dO3bkwIEDLF++nPQbysQ99Xocvv51Neea+e1/2ZhMV+jcuTNfffUVHh4ehQ76+vXr/P333wQFBRWrFdiZM2fIc3LBy9efpP1bSTwQS81Rc5RZNop3DSAXrH1kcyN7s33G56ycN53atWszadIkPvtiGZH9lGuGRFTAr2m01ajq25ctOZvOF7617Fa/d3MP5OivGVQbtpAFP08k8N3PaTPxL46O9aJ7kzY2xzpJJnwvXWPBpGlk5OUSEhLCn3/+yZw5cyyeDoGgxLgt22DPLgC8+eabDBkyhBZdevJoSA2u5mbzQeJFHnZ2Z+lb81gwCwIiezNv0RL+NfQVEhMTmTFjRpGWXC9dukRaWhpBQUEFligdceTIETJdfPHQTIgWdqhGAsbeNYDklBS2/Gc3ly9fxs/Pj9bNn2XpV2sZ98Y/CxxrJOgcIUkS0X0HEm35Wpe7fgl39XksIlFLzRrV+XDiODauWES9QC8SnL1IT09n06ZNREZGFuveAoGg9CitwJFkwF39IEmSC4pwLHJfGlmWF8my/KQsy09qt5tMJj744AOOHj3Kw1X9+Pzzz6lcyZMKfgncTL9krQYvmcz88nsWlSpVok+fPqSlOZ7kHzt2jPr16xMdHY23tzcPPfQQo0ePJiYmhuzsbLvnXbhwgRUrVhBUMZCB1T3IjexN3J4rdG/ShlHNujGqWTclhgfbGBeAGk1a8sUXXwDwxx9/EJL2N6dmjuDw1NX4h0faNdRq+7LUsK4On8nTtxbr2/jgajbxzyfDWes8oYCQUylncuIRF08ec/PmoYvX+Prrr5kyZQo9evSwqT4vENwmt2Ub7NkFAC8vL1auXMmWLVu4fC2ZZcuWke7jifPT9UjOzebQlFUEZiZTsWIlvl74MfHx8QwfPrzQmNAdO3ZQt25dWrVqhbu7O+Hh4YwbN459+/Y57D5x7NgxYmJikCrlDzWvyRjr3/a8a77ly9Pq2WdYtWoVAH8mJNK4wROFv5wioL+fu06Yqp6/wMxkq92KfPYZJvXuwIeRdVnxbDATJ06kV69ejBo1SsTTCgRlhNISc8eBxzSfHwVOybJ8s6Ru8PDDD3Py5En69+/P6dOnmTlzJnXCypOU8BN5uYr4kiQTv1Xvgre3N3369EGWZZtl18zMTBYvXky+VpQRAAAgAElEQVRkZCSPPVaPa9c9SM+qzuNvLOKfA/py89gRPvjgA6pXr87hw4cLjOG7776jQYMG/LI9hteb17cayjbbviTY2Ztz2Smcy1aEkOqd087Gn47uzNqvv2bFihWsX7+en08kM27jMatXTk/M8YvWf0Z4+tai2rC3ObrlfXaNbsp3K/oD4B8eSbCzN+M2Hivy+x0X1ZnAC4nsXLeBtWvXFvk8gaAQSt02PPPMM8TFxdGvXz8uXLjAgAEDyAyuxJiEc1zeu5nAzGR8y5dn2ohh/Pbbb0yePJmcnBwbYXbt2jVmzJhBw4YN6d42mnfrP8T4TBeW/eslWlTx4erRfbzyyis0aNCA8+fPFxjDsmXLiIiI4I8rKbjX7ISnby08fWtZQy+06AVWgqsPvYcMY/q0qXz55Zf89NNPPPtUo9t+L/r72PMMJu3fal1hUP8GxY7UevtDIh6rxa6vvmDlgnn8+OOPtz0ugUBw+0iOZpbFupAkxQM9ZFn+QZIkf+AU0AElJuZL4IgsyxNv8dpyUcap9jv9au1OvH3yu0Q4uwdy/vRaTCYXKj8UwJIlS4iPj2f27NmcO5+Eh2dlXN38ycxIxMM3CzkthRa+ZsITXVmTco3E3CxOZ6Wxet3XdOnSBYCtW7fy0ksv0XbYaN7v2IxTM0fgM/5zaxaq3lAaBS4nuPqwdvUqjn63m+P7j1DFyU2J67GUMLEn2rR8sioX08FpePrWIjWsK6/1MivB3xb8mkaTtH8r08cstwrLotLfJ4ApVy9wMy+Xv3MyinWu4O4iSRKyLJeJYMfSsg1FtQugNK5v06YNlw79zJIXFC9XzVFz+HL3ASaOGU1mZgYRLSN5++23+eWXX5g07X0iWrQg9Lsj/JVt5kRWCsezUgioGkT33n3o1qMnD+WlMXfSOFbuPczGbTt46qmnAPjwww+ZO3cur9w0Ef3dTpvvsZqhrkW1CXqxteD99/jr70uEP+RNvxHv2Owr7vKqEVpbpAo2wGYiaW87wLChg/H830VWXL9822MR3DnKkm1QkSSpTutqgb+PCQ8t/OBCGLz9F04kppap57sTlIqYs3z+B/AxEAh8DQyRZTnzFq9dZKM9dOhQnJ2d+VrnhcrLzSI3N5OszCTq1qnAI488wjdbf8XVPQCA3JwMbmYc48tlSwkNDWXmzJlsWr6CLzo/iZeLE38HhTFq6XrqNm6Ci4sLBw8eJDuvKi6u5Tm65X22R71I47E9Cxi8pP1brbFvRkZb3aYuf/b3CaDNti+t5UlAaU8EShKEFvWHYUhMvHVbVKgLA6t7cGrmCOL2XCEkogKLt1wotpBTuZ6bzansNCqaXXln/of0799f1Jy7ByhLBru0bENx7AIoHrv+/fvzdOYFciN7A0qyQeKGhaz3qMOyf2/lqSrXOHTkJB6eQfy28xNGNevGfzOT+CMzle8OHsDJyYlx48bx/fHz1HllDm0fdWPl+t2c3vApLZ6ug7OzM2fPnqX2xXQmT38ZKCiCjISYPS+ZEbcr5Izupdon1V5pUQWdfvuyNetYv/Yrql1Jo/uSf/PCCy+IZKl7gLJkG1SEmLt9SkzMlSbFMdo7duygd+/e3Mx0x9UtkLzcTJBMuLr5YTI5Fzg+J+cmN9Mukp72FzNnTGPkyJHWfYMHD+bw9/tp8vIIfskO5uOoyvz68094ubkw7F8f4eSkJDhs37WAWU+15lx2CsHO3sz8bq3NjFZFm9CgEpiZTPcmbVhzcLt1m/aYmOMX+WRVLjUa5hqKOdUwd9meTMLKjaSGdaVGw1xCpg2+ZQGn5cXyfuzxvYlHUDDH/vcHyd4VmDNnDlFRUcJwl2HKosEuaYor5ubOncuMGTN4sVN7EiqFkpqUSHSwD/Wl62yp9py1YK9KpYQjpOfJnM2+wdqNG+jYsSOgCMDw8HCOJ8vU6PQ6F05XhO8nkVnjeT4dVoOvB77FxOkDrF5xo5CJoi552ju+MAJ1yQzaz/rVAf15+jHbE3N/XbrMp1+s5OYv+/n+VAIPP92YuXPniu40ZZyyaBuEmLt97jsxB3Du3DkWL17M1KlTqVq1KvXr1+fbb78lNDSUk3HpuHtUAmDovPGsmDSKpFx39q3+N7Vr17a5zqlTp6hVqxa+/vVwdQ8gr8kYdk6qypCYeOLnz7Aep3rmliZfpb9PABf+vQjAZrkTChpDoECBYCPsLbd2CKtMzPGLbDuRZTMegMiUuGKLuWBnpW6UvfP6+wTwRXIyhzOu8kxkSz766KMC70xQNiiLBrukKa5dAPj1119ZuHAhCxcupFmzZphMJn755RcC0zMZt2wZ8e4VAQgaOojR188RmOvGnj9PUrFiRZvrbNq0iU6dOlHvzc9wD6xq3b643PdAwaVKR9650hBy+nMd3cPRMUaTUsh/vqT9Wzk8dTV5sszxh2WWH79EdKcuTJ8+nUqVKhVr3II7Q1m0DULM3T73TG/W4hAcHMyUKVPo1q0bAQEBVK5cmeTkZL7//ntL7TlvMtKvMCDYjW8frUv8tv0EBwcXuE5GRgYmN39c3JS2WaaD0xgS8zZRoS4ssByT12QMS86m02H3FkImD2Dxlgu8ZRFmiV/H4h+en76vN4xG4s6IgdU9rAZXFXaqkLNHSXjl9CxNvgqAd+XmHPrxTyIiItixYwf169cv5EyBoGxQr149FixYQI8ePWjcuDHu7u5cvnyZNWvW8FrvXtRyKUdKXjbvBFThieaReJBboJMKKDF44WEhPN80BFC+o/a8cI6+58VZXnWEvesU5fqOEiG0JB7It2fafY3H9lTKMQFdX+jKgm17adasGfv27SsgggUCQelwX3rmHPHOO++wePFiEhMT2bZqOYfcHmZ6n950/EczVq9eXeD4Ro0acfpMJm4eFQAlYxSg76Tu1lg2lYUdqnG0ZTur6AFsigXH7bkCUCC2zmjmXVgiheqRAyVObtuJLOsy62u9zOzq1bnANfv7KPGBu9Oyblns5Uz4yuoFzEi/gptLAnv27LF2ixCUDcri7LukKUm7kJeXR7du3YiJiSEnJ4duXg9z9q15nPx4EG+P+BfvvGObgJCenk7VqlV50+zNM89VwT880q5o08bL3gqFeeZKShDqUTNatXZLj9ZDp/08dcxb7DufxN69e/Hz8yuV8QlujbJoG4Rn7vZ54MScyptvvsnx48cpX748P/zwAx988AGdOxcUQHv27KFbt27kEoSrW4DNvqNb3ufUzBFWQ7496kVCIhTRF7fnio1o02aULpg13KGYU+Nb7GW5aYUc2CZGdAirbI3f06Muo7b0dLERnMXltL+SDejpW4u6Lbw5tmOj3ebegrtDWTTYJU1p2AWAVq1aUbVqVS5cuMD169f5+OOPefrppwsct3jxYiZOnMjQLGcG/OfrEh+HFnuCrqSFnDYRIvFALIDN6oI9war34smyzMwNO8gMeFiUNipjlEXbIMTc7XNfLrMWhcGDB/P5558TFBTE3LlzqVChguFxERERbNmyhU6dOpFZexgux76y7ktw9VFqt208Bsyjv0+A1fD5hxc0fIPaVbGp9eaoKLA5diUYJEyAkt165qiZGg1zgfxEiARXH462bGfX69bS08UqNtnoWMz19wkgJKKCYW26RxJ/Zv5PP9Cl24fUfbYV38ybgSzLIiFCcF8wbtw4du7cSZMmTejTpw/u7u6Gxw0aNIjy5cszcuRIOiYn4+eT/11VY8mMMtxvBX1Cg7qttKk5as4tnSdJEu2efJz3vtpSwiMS3K+kXs6weoFvh8xU+0X+72dKq2hwmSc0NJQZM2bwz3/+066QU3nqqaeYPn0613e/jpyXa90+rEH+bH1Kp9qERFQg8UCs9Z9R8LDqHbMn5NSiwEZFhtX9UaEu7JxUlcXlvrcGXAMkTx5g1+PW3yfAcJnEHkuTrzr8Yg1r8DRjrsbSpW4wsqsv7uW8GDlypKgIL7jnadGiBdOmTWPw4MF2hZxKt27d6NatG/8a/551myrkliZftXq3SoKSFm9J+7dyauYIGzul9cppPXKFXQeUyatqt/yaRhPSqj1xl67iW86DRYsWlejYBQKBLQ+sZ6649O3blwULFnDi9HVc3QrGgBTF8MXtucLM79baxL1ps1i1yQ1oDLfRrDzZkmxxLjuFNQeVEgiOOjzsTssixPLDUtTZT2FLsbvTsrhw/CL+/1hLXsY19uydSZ8+fVi6dKmoRSd4YHj//fcJ8PMjMeka/n6+1u1qjKq9xIhboaQEnb0sVXvb7aHWs1QnitpnrVyxIqcOfktc/Dn6/2skly9fZty4ccKDLxCUAkLMFYMnn3ySrl2r8cHcbWzftcDGM+fIWKvxcoPaVbFuU4WbKui0Qk412EY/Aqr405p0e/1WtZzLTrERe1M61cY/PJKhb80r9Fx7tPR0YfGJLCTJjNndH6eOEzi6eTrR0dGsX78eb29vw/NU711RGpwLBGUdZ2dn6jdowP9OnqLZ043xaxpN47H52Z8lJeRKA3uTUHW7GhOsR02M2J2WRUvP/Imb/lmdnJwIfSSETcsW0/vV17l48SLz5s3Dycn4pyc3NxeTySQEn0BQTISYKwZqvTq9kFOXTu2hCiatUdQKOK2HTpv0EKgxjNqkiKT9Ww27OqhtwMB2CdgI9Uemv8/q20qGWNihGkOIJ2HlRuLpypC33+OPrz/j0dBaNG3WnDp16lCnTh0yMjKYM2cOly5dIiEhAQ8PD5o2bUqLFi1o0aIFTzzxBGZzwb6VAsG9QP369bmQmt9etiwLOCiYhWrPI+cfHsnhqflZ/vpMeK3tc+SBrBAQwIbPP2XQm6N5/PHHadSokdU2HD9+nOXLl3P58mUSExMJCAiw2oUWLVoQGhoqxJ1AUAhCzBWDmJgYft62i7PrHC9FaDNRRzXrBihCKzeyNwma44wEndYg6ksamGNXkoQyK9YnU4ASrLzEkum68KcfChV0t0tIRAXMsSuJCo3gC8u2Vx7x5sqEifRd2IwdK+axddshGlVz49QfZ/lX3/YEJ5oJadEfp3rP8uzYA+xeuJ/qS5eSkJBAhw4d6Ny5My1btsTV1bVUxy4QlBTp6ens2rWLYX173e2h3DL62D69N66wckZFibHzKleOLz+Zyy//O8bJuDOc/O8vxCxdxLUbaYx+IYqHA/3w8fTgcnIKR07Fs23ZQt5//31MJhNdunShc+fOPP3008KjLxAYIMRcEcnLy2PbN1toXy6IK7npNvu0ywza2DZ1tqv1mNmjQ1hlJYNVg734GGuG2Ubb5dVTM0fAC1OspUrWHNxudwl26FvzCHZefsv15vr7BOAz/nP8MpPpvH8rTOoOwJKz6XyyKhWv47/x7YFNmGNXsiEogpWWoqodPw2EM0kE9jaxufpuqA7gx983PDjm7cmovt354+oNxowfx4QJE4S3TlDmuXTpElcuXaJDm9YF9pWkh66w/s5FOR+wsTPa8RklayQeiGV3mlIGKdjZu4C9UD4H2JzvsN4eyTxZ73GerPe43XFWAOoCA1BKnBw7eYptsXvp17UjCZeTmPvZEl566aVCnlYgeLAQYq6ImEwmWrV5nifS4nm2ajWbfdr0fW2ywuGpqxnUzlJQ1CCJAbBZXk3CuH+rHntLIuM2HmNB+B5yI3tbl2MdUVQh198ngHeaLrApRrw7LYuG5C+tDEQVckq2b2pYV+szoTkubbpSfDVt/gxGD3sXp/d6AIrgbda3N5GXjjJ3czyLps3iyJEjrFq1Cl9fXwSCskr16tVxcXPj3IW/qFY1Py62OEKuqEkSt1OA2BqLW8hxWg+bf3gkg4hl8ZYLdo/fnZYF1qQq+4LuVsYtSRJ1QmtRJ7QWAx4P4octMYweOJgff/yROXPmiEQrgcCCEHPFoHnz5ly6FIp/TZ8i9VoMiahgFXpJ+7cSWIhQ0ws5e4ZbW5Vdj+pxg5Jr6dVw9xZMzw1lwUHYblm+benpoghXzdLxJ6tSMR2cBihtzlQGVvfg1NexRH7bzKYWTvz8GTwCLJg1HMgXqf/w8mBYuwb0/XoPjRo1YtOmTTz22GMl8iwCQUkjSRLNmzfn+JVrNmKuOBQm5PR2QeV2s1vV75waF6cvdA6FC7pz2SnsTvO2WaEo7hj0vWztUdOvHJ91asjYJcuI/PVXvv76a9EDViDgAa4zdyuEhYVx7Ngx/JoqpUBUo6Ma1yEx8QyJiWfJWWUZVl9wM8HVx1pHTiUwM9nQIKvHqNdW76UuZexOyyLY2dta/kDLueyUEhFywc7erDm4ncDMZPKajGHovPHMeqq1Neg5af9Wm7G/1stMXpMx5DUZg9fxdSS4+nB46mpOzRzBty9MKXD9vCZjmNKpNs9N389z0/cDStmUpclXmRhznBounpj/vERERATff/99gfMFgrKCahtKi0BdqSJ7dsMII3Gk1sKcPmY5Q9+ap5QushQU19o2LYPaVaG/T0CBhC91+XV3WtYtF33VJmJol3sPT11tU7szbs8VLn+fxDDfylw//F8aNWrE+fPnb+meAsH9hBBzxWDnzp08+ajSm1U/k1bF15mjBWO8ElwVT56+DZe6FGrPeOrRx7Tc6kzYHv19AqzGOtjZ26aUylrnCezq1Zlz2SnWThJqYWT1R6VDWGVe65X//DHHL9Jw9xZqjppjfW5P31rW/rY7J1Ut0CpIn1mb3HEzA0J8mDRpEklJhS0QCQR3h507d1KtZuGtiBJcfaz/boVb9cQZ2ZdxG49xLjvF+l13lMBgb1+ws+KRUwWetcPMbY5RFW+gTPDi9lxh8ZYL1vi9mi0rMq9rXZ7yzGP27NncuHHjlu8rENwPiGXWYrB75w7aRrYkLy+P5APbSDwQS25kb6tIiwp1gdCCRX9B9bClExXqkp/s4GBpRa03l7R/K6cO5C9xqALuXHYKS5MLL4tSVLTXUcWaf3ikjYHt7xNgM4NXDXzS/q2YgdzI3oDioftkVVcWDJ/MAqDasLdZ2KEaMaEXge7WZ+tuybb9qlNtFm+5QPcmbWzaiJ32fwLTwWksz6tC0s+HqBwQwKJly+jbt2+JPLNAUBJkZGRw6NAhOr7QvVjnFTf+7VaFnNESrmpPVCFXc9ScQieU/uGRxO1ZTUtPF3an2SZDqHbJSPQ5igd0dE/9su657BRrJxs1JGXE6d/pO+gVFn78MfsOHaJRo0YOn0EguF8RYq4YbNqylScbNiT0kRo846EYLrW5l5pBqi/6qwocdV/M8YvKfstSrR7tuacMYuPUmalKScXFab18qpDTUnPUHGqOgsYG8S1GZQlqNMwl/qDyt/puBlb3YMnZdGKOX2RgdQ/WHNwOKFm46g8EKDPxnAlfwfwZAEgmM/4VnuT96S8zcfxYevbsibOzc4k8t0Bwu7i5ubF582aio6N5OuZrQoKDi3ReabTngsLj7xIPxNLS04WlmtsXtfOD2umhMfkrBf7hkQVWDfTXK+rYVNSyS/rJqtrJxq9pNIGZyZjP/cqmca8yfcwC3nvvPbZsEb1gBQ8mQswVg+3bt1PnscdoE9ECZ2fl1SWATUsuRwRmJjOwuofNNq1B1MbF6UWcKrb0Yq6kUYWcNghaa4DVWnn6HyK/ptE2NfRAWVJNDetqFbgJrj5sO1HwB6zD+M9pHL6SEMtzNx7bk8U3FI9evEXQAXx6IYCKFSuya9cu2rZtW2LPLBDcLuvWreOFf0QXKuRKWsCpFKcNl+phA2UyuHjLBQZhXCeuqOLLSNBpr1FYcWKVxAOxjNt4rICIU5eDQV12fdFmSfdZD2/GHDzI+fPnqVq1apHGLBDcTwgxV0R+//13pk6dyuZli3F2dnIY8+Jo+UQ7Q9UaP72AC4moUKBdzu10atCjxrqAIhD1bXn0Y1aNulqj6pSuz2vNUcoPlSpsO4QBHd5Q3oPlXZhjV7K+TXTBa1ePJon85Ielb81jeifl+qOHvWsVdPHzZzBqRDc2btwoxJygzLB+/Xr2xv6HHV+tuGtj8LPj6bdHSEQF+u9RbMq57BTL9/jW2o+p91ZE1uoCnn39uLQTWPV8yO/zqoZaqCh2UBFyamyfXjjuS8/hH53+waZNmxg+fHixxi8Q3A8IMVcEsrOzeemll3j71cEEVwmye5y2vyoomVgNNcuskG/I9MZIFUVGoqqw6uu3iioYIb+8QIidY9XlVKM2YqAsvwJo0z8OT11N47E92RAUYfVIbo960cb7pxryxAOxNmJVXWaJesGFBZprdurUiffff58FCxbY7e8oENwpEhISGDJkKLM/nk+6b2XSKT3vW1EpSoyaIqRiCd6SZYm/vUr/PeAfXvT76O+h2qngLVm03LPauiRrxOItFwyP0QvBxAOxirArQpZs586dmTNnjhBzggcS8WvogNOnTzN9+nR+++03XN096NmpQ4FjtBXZ1YzNDmGWbgzA0ZbtrAG76uzVyGCpRi3EIph2W0ST6kHTBxzfLvmzcVvUGbpWbNoTcFrU/rOATbmU3MjebIuJV5I+UAx+4/BINgRF8MnUVADe3z/UrtdxV6/ODF21gS/eXcNDp9dQrVo1qlatyv79+2nRokXRH1ggKEH27dvHokWLOLDvO9q2b0+9J54Abk/IaT1YJdU5Qh+rpvXg+YdH0nLPamvsnBqP5uj+hRU31nr87S27aieuIQdsbY3WW5e0f6vVC6dOPFURqKelpwvPPfccffr04cqVK1SocOtZtQLBvYgQc3bIzc3lxRdf5JlnnuHlIa9Sr/4TSJJxvFqCqw9DYuKVjM3jFzHHrrQxWLvHLGdQu3yDFbfnSoEZsNagKeItyxojUlqeOaP4u91pWezecuG2YvRUYRbs7E2bzGSiQpUCw9s1Dbs7hFVmW8N45cN+x9dr/vU4mteFcafhWQ9/Oo8dwYYNG4SYE9wVkpKS6N69O6/07kHnCWN5st7jmEuoeK/RZ714KkoygdH17B2vZqlrVwQK8+6pYkvrWVez4CG/nIgRVg+es7f1GKOSJvaWjrU2SR1zSEQFDg9szfPPP8/mzZsZOHCg4b0FgvsVIebscPLkSS5evMiLLw+2NnZOwMNhgV+Azn/tsSnsq4qwxRaBpM4w9RmgRkatNGLlVOwV/gTFuC9Nvmozy15axN8q7XXOZaewPepFOo/tyfZXV1vfx+Gpq2kMrG+jlBc4+pH96/X3CbAWX56C4u08d3ADC365zNy5c0XTbcEdZ9euXTxaozqDXrS/jFgcihrrVthxhcXNGcWuWe2NwYqBEardMkpo0J6vJljYi/nVTlRberpYVyyMMuMhf3VAa7e0dTBB8eo1+vF3NmzYIMSc4IFDiDkD8vLyOH/+PGk3UguIBfv9VS9a21thaU6t1kUCbOqzaQWbUeycOvMszcxVe56+NQe306zPUgJf70TLj4Y5HMP8n37AHLvSusQa7OzN6Gn9ODx1NUuTrzKlU23i9lyxWYIFxahrvZV6sRrs7M3M79aStH8rQ9+aR4ilg8SC71wBqDbsXbxPvkrnzp3p1q0bPXv2RJKkW34XAkFRycjI4Oevl5KZbd9LX9zODHoboBczRiJMFVR675le0Dlqk6XtUOMfbrvP6Dy90DJuK2g7kQ129rbaOzU+D2yzU602xnItJYnCdiVDX9NODUvRJ5HVyc5h4vbDDBgwgN69exMZ6VicCgT3C8KtYcDWrVvp0L490R06OTwuMDOZUzNHYI5dWaDkiF4sqbNPLYm6jFDIN4KlsaxqhNrtQW0NphWrRksfqjid0ql2gX0tPV3waxpNm21fWvutqvfQnq9678ZtPGZNdDAi8UCs3aLI7cfNRqoaxhtvvMGvv/5a+IMKBCXA7Nmz+XzvEdpENDfcrxVyRfGSGcWV2Ys1U/epcWRqB5aievbUhCNt4pG9Y/TjPDy1YJyaOvFU/6nb9OJLRdspArARdmo7MO21taEqoNgO7VIuFBS+l/YnMTEwmJvrtxAVFUV2draDNyIQ3D8Iz5yOnJwcTp48SW5eHsP+NcK6Xa2Tpv4NiqFTZ7eq0Us+YNuQWh+L4qh3od5DVdqCTvWk2RC7kvVr38Acu5JE3TjWHNxOl+3JrG/joxREtuxXl2Ub7t5Cl5h4y9ZnmG6Zpatetuljllsz0xwt257LTqF7kzaAIhr9wyMZWN2DbcPethYgXjBcKVeScTWJ1NTU23wTAkHh3Lhxgz///BMf/0AG9Cy820NhGaX2RJu+ZIc9z5h2m70Yt8ISFhyNtTiCU9uRRmu3tH8bfffV/dqQDi2qvdR6+BwtBYdEVKBxeCSND8SyftX33Lx5UxQYFzwQCDFnISsri82bN/Pee+/h7e7KqnUbcHV1tbbUUltvaYWc3gAm6oQcGPdPVQWetjSINuFBS2kKOjV+TY11sRpojaHW3r97kzYsnjWcUc2WKy2AmkaTENmbd75thungNNo8NxRP31oE9s73aO5Oy6KxpayJ6o3To/8BMCJp/1Zrjbou25OpNuxt5Lw8fh+7l8zMzNt5DQKBQ1JTU1m5ciVTpkwhoGYd5i9afEvX0YsjfZxsYcur2v3q91Uv/NS/tecWVdDp0V5HHaM9Aap+h42+x9p4Ya2d0ws5fW05sF2uVXHkuVT3p2fnkIcsbIPggaFUxZwkSc8D84HKwFbgZSAN+BJ4Hpgmy/Ls0hxDUdi7dy/du3cn5OGqvDGgLw3adGDzib85Zmk7ZZRNpp01q7Ej+qxTffNp1UDpDZfWe6ePUStM4BktWxQF9bylyVetdaG02GuYrca/jdt4jCmMYPTj72I6mN+lIe3aSVKPmtk5qSrJvynPeniqkvygevD0DGpXxe5yq3IfheljlvPWoZ1AMgvaB9O27uM0fPYZmjZtWuTnFpQN7hXbsGTJEt566y0aNmpM1PAxVA2tQ8WKlayFsLVhCY5i5bR2Qo8a/G+EvYQAcOyhMrq/lqKKO222KhQMCSkKVq/dFttViqKUW9IuxWrvvTT5asWp+xoAACAASURBVIHiwipZuXmMjPmN/gMHEhAQUGC/QHA/IsmyXDoXliRfIA4YAHwLLAL+ArahtPabDawFesiyfKOQa8mlNU5QKrgvXbqUqR98CCjZqZ+sUhYRd06qWiAORp2x6j1xRobJaPmg4W6lf6A5dqU1WUA9tqjXKW65EnVJVR2z0UxYPwsu6vUXzBrOhqAIQEkGSZ48wCaRY1C7KvSwJC/sGt20QEKEij2xp525qz98/1z/O9dyb/Lfq5cpX758kd/Dg4IkSciyXCazQkrKNpS2XQCYMGEC2dnZDOveiQRXH2tfYSgo5BwtdWpjzvShF/Y8c46EnLaLgr3SJWDrXbPnybN3nrrNSMipz2EPe7ZDW4NSa2/sdZ/RHqPNXlXti9oRQiUvT2b81oOYPcqxdu1aUVjcgLJoGyRJqtPE3ev3gT4P3fa1Jl09R3xWRpl6vjtBaf6X3h74SZblTQCSJE1HmYFvR2kU4ARIQOla4yJw5coVMlJsZ9U1GuZa/15yNh1QhEqgxggaFdMtypKhSqIl61VPUa5R1ELC2ms5Wp7QxrM4uqbR2BRxpgi0XZrt6sz52xemwHeTAdgQFMGCWbZFhqd0qo3P+M+JOX6R/q8OthM7GGAd54ZtZziRlUK0Z2XaPVSDfemJCO4p7inbkHPmd5KCXAhsGl0g0UnFSMgZJQ9oM9XtCRiw/101KrBrhD7eTnt8Ubxy+iVh//BI/MONEyHUupj6v/XoPWkh2CZROHof4NiDqfLZrv2cOfcXy17pKoSc4IGiND1zs4E8WZbfsnx2BTKA8sBioBUwSZZlB1XGrNcqtRn4tWvXCAsLY37/jjzTc6Bh6ZEhlqD+qFAXBlb3sJYf2B71omHtJBXtrFMbH6dddjWanarG0EhUaWe22mP191Pv4x8eaV3mBAp499RtRmPSY1t3rvDad1qRBvDJqlxMB6cB+R66/j4BXPj3Ij5ZlYvX8XV8t6I/3Zu0sRYy1cbVqDPzq+mZ9Ik5iqfJCXfJxDsfz6FixYrWf5UqVaJcuXKFju9+pizOvlVKyjaUtmfut99+I6JpODFjX6VGmxcAxRtnjl2JX9PoAglRWvThF/bCKPQeOlVwORJtRh67wpItCjvO6Hj1PvrsVtWeOPKqGZUb0teFU9F68e3ZQjAWilpbBzA9Jo4DN6/QwK0cZ7OyGPvvjwrYBjc3N4fv4H6nLNoG4Zm7fUpTzC0GzsmyPEWzLRsIlmX5ov0zrccOBgZbPjYcPHiwo8Nvmb/++oucnBwqeDjjVK48OZLtbM5JziFHciI5I4sAV6WSS47kpGy/cZ2cG6lcTc7CyyyRmlvwXWbJubhIZpttXmblvzPt8eo27fYsOdfmPBfJbHOceqx6b/Ve6jGuXkoWV2ZqtvVvLZmp2STm5BS4rnotPf5OTrh6OeNUzguAP89fobKvO26Vqti8C/VcF8lMpSr+OJXLXwY99ncerh4ywWbN6pmXPwDJGVlknI23Pod2DC6SmQCf/B+NC9dukoOMLMvIQDmf8mRnZ1v/PfbYY7i4OJ7p388sWrSozBlslduxDXfKLoDSzs/T3Y0AP1/rthzJCVITrbZCtQPa/8YBcm5cJ+3vJOt3ubDvvPZ7ZXsdJVNbv0+9n9G99ePQn1MY6jlGx6vf88zUbMNn09pBrT1S99mzQ1qbo/+uZ6ZmW6+vxcgWZsm5mCUTJmQkF4mszFzM3l5Wu5CXl0f9+vWL9B7uV8qibRBi7vYpTTE3C8iSZXms5bMLkAl4yLJ8s5jXKrUZeK1atZg3aTx1Hw0DjIsC6+NhtIVBjWJK9LNHo6VYPUYeMyMcLUVoY+8Ki8nRBmMb3c+eV1DtMwuwPepF2mz7kiVn05Xeq7Erre9CuwSt7y6hXkNtg3bmqJkaDXOZ/tukAjGI2nONPIOqp1LrCfg54zo1XTzZEneMN998k+rVq9O2bVuaNGnywCy9lMXZt0pJ2YbStAspKSkEBQWxc+8+PDw9DeNmHXFq5ggbj5MWI4+Wo6b0jjxxhY2lKK2/iop26dWR7dBS2NKpij0vvJq1q7+f/rpG5+vPjb2RyarUc4S7+TLv+/8wefJkGjduTFRUFPXq1XtgCo+XRdsgxNztU5q/bMdRYmNUHgVOFVfIlRZ5eXmsW7eO1ORkKtZ7igTNF9lo2cTRskq+oS1YmgQKZpwaCaXdabYCz2jp0x5G4tHmeppWOVrUZZ3GYLMkNKhdFeL2XCmwVLI0+SpMta3OPqpZNwa1q4L6RtR3MQjbJabGY5Uiwoenrmb6mOXM/C6a1u+ex3RwBiYg/iCMHvYu60f5cGpmfn2/cRuPWWNtxm08VqA+nfYZ1Dg8kySRkpdDrarB+Jmd+R74YPYn5ObcxMXNj8WffkCnTp0e+KXYu0iZtg0ZGRl8+OGHPPn4YwQ7ZVszV1VyI3uTgP3sVVX0GPUQNSpBVFgcmFFsXFELBZcmRYmTg4LZ/EbX0ZcfMbqGthqAFrX1oLY8ilJ02DZW8c+cVMzA1dwsnmr4JFWd3Dj0zTYmjR1HnizjY3ZmycZ1tGnTRtSmE9xzlKaY2wTMkiTpWeB3YBqwqhTvVyxmz57NokWLeLfrcwVmZHovHNiPi9ESt+eKw6ysoqC2ACuqkAPtD4X9hIiiBA9rrwX5DbjVcanGVm+U9dmxqmgMiahACLY/Ro3H9iTEUrnedHC/3XGoxZjnj/fJr/VnUL5EGYviuQh29iZuzCIyJ3TnTOZ1yvvVZtBn81kwfDIBQG5uJpkZiQwaPILhw4fTvn17+vbtS0REBGazucC1BaVGmbYNgwYNIi4ujomvD7NuK66HqziZn7dDYeMpCY8cGIvHonrdtO9CL+wKy8rXT0CNhJwWR4IQwITE2ex06rh64WXK//m7mZfLtbxsXuzYGbcAP3r06EHfvn1p0KDBA+OxE9zblJqYk2U5UZKkfsAXQCDwNfB+ad2vuDz00EM0aNCAZ+vUJHHyAGqOmmNdPk1ycJ5W1Bl5uuxSBFGmx95MVH9PVSyF2Fnutf7vlgsFgpC1yxBaQ+uoAbd2WVnf3ULpq2i/Urttu6B8MZfXZAxRoWYSXH3wD48kwdWHLt0+JO3aSfKajOHnsdEEOy8vYPiXJl+FjVfpv+cKsd4hMH8G7p6VKeddAxdXHxYMn2w91mx2xcOzMh6elcnNzWLT5kOs/moTeXlZvDXyX7z88svUrFnT7rsWlAz3gm0ICwuj8tVTQK0CBXgDC1nWLKyorYq2tIajMiT2KCmhpqIXrEX1/t2uUNUXHNYnedm7n96bp0+G0LLUMhGs4uSGv9kFN5Pt5M3dZMbdZKaykxs3r2ey6d+LWTRvPiYkJkyfRr9+/ahYseKtP6RAUMqUagCRLMvfAN+U5j1ulfr16zNlyhT8xoy0Gi8j75t+mzZerrAaUGA/jg5s68ppRcrutCxr02lwLBL9wyPJjeyt/G3ZVnOUUltKXT7VLv0aeei0SxhG91u85QItNSLNXhau9lpGY9b/SOQ1GYPp4DSqDXubqFCzUtuv10U6GzznqZkjLPdRvJajH38XgEEfDaPh7i0MiYlnV7nveW76ftw9KlnPGzpvPICNqAMwm13w9KqKp1dVsmr3JPXyt4SHh7N7927q1q1rMAJBSVLWbcOmTZto6vy3dZu+q4Ijj31RvOnaY9Xm9Prs0bKwlGoPm++3wfMaxexCQfujLtFqbeHutCxC7ByvxyjrVZ9BrCXI2b3QZ3M3mXnY5E5VJzdS8nKYPWY8Cxcu5PDhw6IIsaDM8mBEgxsQEhJCXFwcf0keuLi4OKzebg+9gTe8T0QF6zKkPl7GXqyJWjHdaIZq5CHTjsfo70F2Yvn04zQynKpoW5oMbLxaICHB0bW0MStqgLd29v9zU1AdMmotP+vYNf9/vNbLTNyr+R7C3MjexD83FIA2276kS0w8CSs34reiP0PnRViF21fNMhnXS5GGj1iuddr/iQLjrb1vFIN/+oHatWrSvn17Dh06RIUKhS9JC+5PatasyX//+19ooHz/1O+S0fddO7kD+/Xh7HVt0WKU5GBUyBdKR+jpPX327JtN6z/ya1TafKZoE0c99kI5HB0Ltl45Nflqd1r+RLM49T9VJEmivNmZrmu+4dCLnejSpQu7du16oLPkBWWXUstmLUlKI2tt2rRpfPPNN6xb8BGXE67y4aIlTB39Fk5OTnYzxIxm40bGTm/QixP4qzf6+k4N9pYu9WPRG357nR/04yysG4UqMLXXUK+rfy6VKZ1qW8eujqtyvUb8evwUkP8+l5xNZ2B1D+t4tV5HUDpm5Eb2ttatAzjZ7yVmfreWJWfT2XYii6hQF3b1MvLt5bNg1nDrOLo3aUPOhK+In6+0JMutaGZwm0ZMmaJUzbh69Srly5e/5wKiy2LGWklTWtmsPXr0oHz58kx4dSD7Vi7m0HWZka/alkCx55nT15dTcTQB0oc+OPqO6+9V0kut9tDbOW0xYUfYE7dG3kv1He1LT+RZD3/rdvWdaQWb3qYa1fFURadqn/TxdfY6zhghyzK/Zqbw2Ver6NatG7Isc/nyZSpUqIDJZCrSNcoKZdE2iGzW2+eB9cxFRkaycOFC3ps9lx9/+Y2zf56n4eN16da+nUMDWZgHr6jxMlB4p4WiCDmw9XYZGXj18+jwgkbYaLyFBRHrl03U7Fd7xY6Lmnyx7YRy/sCm0RyeuppxG5XOEmsObgfg1IFYalqeRfW+bT+0k+4NnmbBrOF06NAbc+xKmy4URmg7ViyYNZzcyGq0ma/su/77ET48fozU1FRiY2P5888/kSSJ5s2b07p1a5577jlq1aolgqLvYzp37sxrr72Gn6sTy9bEcPPmTdq0bM5jYaHWY7SliezZC0ffb32sqfb7UdT4uTsl5IwoyviMwk30S6zabaoN0Qq5wtAup+ptjCqqjbxzhcXlGZEumXh50Bh27NjBf/7zH5KTk3F1daVVq1ZW2xAUFFTs6woEJcED65kDSExMZPDgwZiyMgj09+Pa9evMnjje5hhHxlpfLV3F3qxR3y1CP1vX11PTJx44oqiG3d4MWztmdUlU2zlCK9hmfrcWUOrMabtMqCUCtM+ifV6jZ/JrGs2pmSP49oUpfPHuGgJ7d2Jhh2okTx7AOIPs1WBnb2otX2YVc56+tRhzNbbIM2z1GueyUwr0lB0SE8+RcR0xm11xcfXD1c0PJ2cv5LxsMjOTcKlRBddL/8NkMlmN98MPP0xmZqbNv3LlytG6deu7OmMvi7PvkqY068ydOnWKfv360bJxQ74/8iMRz4QzsHcPh+fo67DZ+2/SSEio3wtHQq6oteVKA0fLuva8huqz6G2Mo160KkZJWSpaL5xqc/TeTaPVEKM436LajSw5jx+z0nF28cbFzQ9XVz9Cr5/gpM+jZGYmkZWRhId7DpUqVaJ169a0atUKX19fMjMzycrKstqGoKAgwsPDi3TP0qIs2gbhmbt9HljPHIC/vz/r16/n8OHDREdF8X+rlhc4pihGU2usQiIqFPBcqYZlSqfaNoUstaVEihvPcStB0vaO1SdphOiWiVp6ulifrY2lZAgo8Wrbo14E8sWUUaHg/O0BNgZ8Q1AE27Yns37UHGoC23p3IipUiV88amdp+lx2Cm+FVWaB5XNqWFeWbllT5HegXiPY2dsq5ACSJw9gOjB6yibrkquKZHZRkiou5ZAt12Lvjk/YuXMnK1asICEhAVdXV1xcXHB1dcXV1ZX4+HjGjh3L7NmzadGiRbHGJigb1KxZkwMHDrB8+XLWbfk/enfpWOCYWxVV9oLz7cXAqt/bkiwAfDsURVRqRWn+/9pew5HtMvLkq+9NK+QAa1059Tx9S0J9kpY1BrgYuEgmwl3Lcdq/HgCPJP4MkkTo9eOc9n8CD88gto8KJ+vpf7Bz507mzJlDenq61Sao9uHnn38mLCyMWbNmUbt27eINQiBwwAMt5gCSk5Pp3bs3U0aPJKjS7aWe62eciQdiHRbMVBIgFE+WPi4k/5zilywwwp4XUUU7Q7WXLGE0jsZjezJ9zHLDTgxGaI3/tu35sXIdwiqzsIMPrd89zxfHl/JZRAWCtziuQQWw1nkC4yhe/AvAW4d22sTeqSI7ZNpgnCy1/t5pusDaS1ZFkiQinhtm8QieZGnyVT6ZNdz6bF22J+PcSOaPmH20ahVFu3bPM3PmTGrVqlXksQnKBidOnGDkyJGs/vdH3ChfCfdbSJIyQh+cbxRKoU9mKouZrfq4XO3nwryL6t+3+lzqRFO1m3qhp0V938WdMBvxSOLPdrcNe/tn4BPrdifghP8TQC5wE7iJLAez7/tTPFa3PkNeGcjEiRNFspWgRHigl1l///13/tG2LVEtmzPujX8W69zCxJE99C1mHCUjFGeZFYq/1KoN1DYydI5i59Sl1lMzRzBu4zFrkoOj5aUpnWpbiwGDIuI+WZWL6eC0/2fv3OOqKPM//hmOgAkScrFCTRS5ZK2tsVkSacBqGGzkJV3FMlRMUmuzRBS1UkHT0m3VxcLVrNC8RRQKWcB6ScwN7fYzEEFMIxPQkwjKdX5/zHmGZ+bMzJlzAY8y79eLlzCXZ545nvnO9/le4dKDU3bqLp8CwJUtyRt+kBf4NUfyBG5XstqWupaSYhfn7oXg/GxkFVfyCRNAWwxewrrFGL5rER80nazrI/sZ5H6ZhqziSqOyJwBQlL0CD0Qlov7qeTh1uYxJkyZh2bJluP12df0xrcUeXSm2pj3drF988QUmxcbipVfmYfoT4QCESQ9i5UUsD+h2dmKk4mEBaUVOPP6NsMrRHVnKCi4atR5TMyep+SslVZhKIlMqhUIwZ3GnFiLnACBp0BKUF+mwf2kfFIVHG11PKnOe0NrShKu1Z3Cbcz1effVVvPLKKx2WZGWPskFzs1rPzZWGY0N27tyJ4cMexT9mTDVbkRNjjsKlJKTEnRKkjhdDivAqrXIvHd4r6aohihUdFLx89EDJmB5SC4/8JA4bbzR/U9DHVjm7IybIB/2DW3hFrjZoHL+/e/FuxF99BGNz9ZIvC85VIi2saUEvvp8t+mro8jIAABXr38QHS3bwiRcAML1fN4Ebx3f2fMlr+M6eD/2yqYJt5D4A7gXIMDq4dO8LndNA1NXV4ZFHHsEvv/wiOZ6GfcCyLFasWIFnnnkWq9f+i1fkpCDPlViRI98fU4lESuOKERbbtm4sc8/3DIngw0XECqg5c5JLzCKokaP5dY28FS4+ujfCXZwkFeP26rgx7cc/YdqPf4JnSAS/EMwqrkRkzkcCRU+OATUnUJS9Ag46R7i5B4DpEoC8vDw8+eSTqK2tbZc5a3QOOqUyV1hYiBdnz8K2f/8LT//NNitdz5AI/scU4rR8sUInjjWpOZIn+FFCLLzF1etpqpzdBUKQWAL9wnoKYt6kVr1nm67wK/Y4dy+kZ583mbW6RV/NK4HExbkxxhfesaPx7NIJmDVJWJW9KiMT5UVcVwjaomcKOlbGffFmBOdnC/YnzFuHmCAfAJwlsCojEwnrFqMoe4UhBpDKtEudgYR1i+HSIwAuPQLgO3s+irJXoMsbf+fn5NIjAK1DF2LPzpfhO3s+fGfPF3wPHHRO2Lf/LH4534h+/QPw3Xffqb4XjY7lvffew9YPP8RHu3YjcpCwG4h3g76ttZwBU8+kWKFTUvDocWzhVpUaQ6x8qjnfIzSKa8NnkA/0AlItcseKx5KSn1Ktv4icoWOUyb+mWoRZyo7CXNRdPoW6y6cQcWAYAKB/cAsAzsvgvniz4PgBNScEblny+4Shkfy2Lo7d8OPPLThw6AcMGzYMlZWV0NCwhE4ZM/f2229jzrTn8Kd7giweQ84SRgf+KmW4Sq0m1ZQkEO+XCkJWEtb0nHSAUXcIgLMs0IqcX1hPxBUYC0lybnx0b74KfD41HuntSp9D3LNEmfJu0GNjjC8ATsFrHboQAFALTlA+G6jDzKwKAICfmYU/zzZdwewHHpbcN/uBh+EyYIJgW+mquZK1r1b164ac2NGoWP8m6ta/ieD1QJGhXAoAThkN1EGXl4FRgVxSRc2uPPjOXiJIpnDpfjd0OmcEBw/Bvn2f4/HHH1d9LxrtT2trK95++20kLX4d97l3VTxWrsSPVAs+Emwv514l0O5Fz5AI2bqRSig9+5YqiOQ8W8Tuyo0tBy03lfpOA7ZV4paPHohFmSeRtnoOnnr3ImqDxvFudgBwKEzFmOGhiImJxdjxawFwCVzxEiEeA2pOIM7dC5GFubwiN6DmBPo6uiHPzQ8M4wA39yCcLj+LkJAQ7N27F/fee69N7kOj89DpLHNnz57Ff//7X4x/MhpVzu6CB1T8tymkBCwt8OjfpSqhm4J22SihdrVNK3I1R/JwLIXr0NDX0Y13RdIuor6ObhiSPBGeIREYkjzRKP3/bNMVwUsr3MVJYBXzC+spOGf56IEYm6vH2Fw9Ri45h5lZFYLODzFBPpg1SYf+wS3Yv7QP0l2/RkyQD8qLdCgvElrtbMFdp3cIXLvkngh9Hd2QZkhuEEPmHRPkg1GBTrxySigruIh016+N3LRdu90Bd89BeCZ2EtLT03EzxKx2FnJzc+Hm5obH/zTApCwQW+H5/sgSz3Wcu5dJRc4UdJiE1PMuJwPUxrORn9JVc82y3pkaz1aIu+cQOUW8HLa2xnmGRKCvoxtaImJRd/kUnwjVOnShIJyCXixWrH8TkTkfGY3V19ENkTkfYdOZeoE8Odt0hbfeMQwDVzdf9Pq9DuHh4cjLUx+HraEBdELLnE6nA8uyaGhoNCoALFUQ2FT5AVMZWeLMVloIAcL6UnSfRnKMlPWOHlctYqsfmY+fzPF+EHZsIMRRyuUWfTXf6N4Uce5ecF+8GVXj13LCEUBFIbBh6ELkBFfwChH3g7Z4tCN52GmIC14kU/ZEiebXPsaoQCf0fmGGZIxd3vCDaFn6Ml/XLs7dC0OSJ/L3XeXsjk3FldgT6Y6qmDREjkhAwrrF+HLSGHxpuK8xyRPREhSLT3qFISbIB7q8DCToq+F3JA97EqOAyBXYdKYeHyzZgbrLp+Dk7I6nk97By88/h5UrV+K5557D2LFj4e3tDVdXV3Tt2lUrSnwDcHJyQn19PX53dIPS0kFcnNvYciVchNHtrpR6IJtCSoGTKhRuSolSKidiyXlyx5maB90tQ5xUIaatB6sbX1qkb3ajaL+xJ0AtJDmLWM5WLtyK+Oje0C+bitwvN8O7QY8JDzyMALS5yhPmcW5Tb4PVHgDG5uqNXqpkQTt81yIkUElcvw2YgLtOc2WVeHcsA/TUN+C5557DHXfcgeeeew5PPPEEbr/9dri6usLJyUmTDRqSdDrLXO/evTF+/Hikbf3QaJ94Ja52ZSkV2Csn+KRi1ADwsWpK1jwaczJozUFsCRR/BiR2hsTVyUFqPxFXbH4dpzzXBo3jV7bk3/IiHZ+EQCvUizJP8mMQRWv56IGIj+7NWztMQYKU/cJ6Sp6TMG8dZj/wMJ+Rm+oVgU96hQksMzFBPvzvHw9rELQLy69rxCe9wvgYwLHj1+Kpdy+i+bWPUVZwEZcO70XuqMno/cIMHPwwjj9vxwEfxLj2Rvdfq3HhwgVER0fjnnvuQY8ePdCjRw/s27fP5L1p2JaIiAj06NEDX+So/+ytsT7RNSgBy55pW1m/pBaJ4nhAsXXQ1ByUlD9yDrGsES+B+Jriup3ienFEcSPWOUspK7goyNo923QF6dnnkZ59HqsfGonEYeN5qxp9XQACC3y669eS4w9OMU5u2LPzZclj3XWO6Ftdh9TUVBw5cgSPPfYY/P394erqiv79+3N9gzU0RHTK0iTnzp3DoD/dhwOZO8He1V/yGHGgs6Xp9/R2sbCWs67JCVY155rC1AuDtgaq6bsoF68itp71dXRDUuoUo96qOSWNqMrIRG3QOJxI7s4rTbq8DKxcuFXgtk1KncKfR/dWlUNcGZ62kkqVUKF7tJKyIwCwYVsLuhfvBgAc/DAOicPG8/NKWz0HEQeGoX9wC8qLdIK6dL6z52PlD0v5zyj9pfWCGLrcL9Mw+4GHjUoYNDb8AX3ND/jvf7/Co48+Knt/Sthj+QFb0x6lSfLy8jBj2lQU7PkYXbooOy7oLgcE8t1Sqi9pClMdEtR0iKC3kXkqJRERRUbqXmhLNRlLfKwtOtBILV7l4o+tcasqlTWSg3SLIQu55aMHKpafEZ/71LsX8enzPZEwb51ZngXC+uNHMTOrAiczD8C5/D1899138PHxMX2iBPYoG7TSJNbT6dysANCnTx8E+vXHVwcPI2KCsTJHFDlaUNuihY7Sqld8jCWCUg5aEMv1ZBVXaVdS+sgLgitZwK2oxcKJdFkgv59tusJ9nuB6rwKkPAkwE1wCAUBZ5kKjEB8trC1njouZKHL0S4LU/5Ka7/rjR+HdoEdVTBr3r2F72pxlcABQZ/h7bK4e8YZiz0mpU+ARGoVZveoB6JCDRpRjIboX70Zt0DhsjOkDnSv3GYkVOQCIHJEASNSicnK+Hd1c+2Br2gaLlTkNy3j00Uehv3IF/1dyCvffa7rUhNx30VRmt1wXCLXXUtu/lVa+6G1KNfLIuP6Ja+CfaDwmUQrFPaHFSMkteVlmXHtTLv7YM4TrUgNAtUIFcCERJHbtPIC0XwsMfZpNkzBvHZaPzsOX4LJaB6fUov/CFqS7fi1ZV5D2ACTMW4c9x48i4YGHKUVS1WX5eY9ccg7dizPhDUDvcy9ycnIwbdo09YNo3PJ0OjcrAGzfvh3Vly7jycdH8NtI2QHazSdOwzcV1KsUKyJVU0lOGLdH1pjUNaQURzH0/dPuY/KvX1hPWfdGfHRvxEf3xvLRA/lWZgTapb0n0h3T+3UzSkahoVv20JBEDZo4dy+jF2XSoCVwX7xZUFNvR2Eu1h8/iubXPuaTMfTLpqLK2V1gPRQTnJ+NgK3vI+LAMAxOqcX0ft34n+8OKgAAIABJREFURIj+wS3wjh2NE8nd+e+SX1hPsxM4nLt64NA3x8w6R8N6lixZgsH33YtBA+9RdbxSSIVUoVvaHWipW9AjNEqysK4UphZAtLtT7PZVOxfxtSyBnp/UHORKmJijEPuF9RTIFY/QKFW14QiLMk+ir6Ob0RgAjJLDklKn8HXw+jq6yWbV05AwEprTnoONCpffPmAw9qT9U/W8NToHndIyp9froa+9is3bd2J67N/R1dnZ6BixgK5ydoe3ivYzckqf3HlyljJaMRSfa06wsymkXDlE0VNrERT3QCRWB9qtU+XsjhZwSjNRlugMUHqbLi8DesqKRiDJFn2zzwPg+uiuOrgTlw7vxbGU7diir+Y7PHg36JE7ajLy6xpx/unlqJizDGMzAnDQUFJk2DNbkBy9QDD+hqELMT15DcZmVfCV3WO+TMPIJecAtNWUGkslcQDA2Nz52GPw9lZlZHL/xnBJFeTFdCKnO4KjVX2cAIDZ/16Jd6aNRmVlpcXuFA3zuXbtGorLK7A7ex/GRo2Cg4P8eleqNRVtrVaD2EInZc2jLV/iZ1JJWRNb7+TCPY6lbOeTs/zCesouSsl4Uu5lc5CTWXKlmqRikukx1LotF2WexHJMRczizcgqrsTYXD02Lt4MZJpWtAik3FEAAGQDue94yf6fAeC/C2SOSn1hI3M+QpWzO+IKuG4SdPiFQ2Eq9nzJdaS+uOvf+NsnJ9Ha2qr4/dToXHTKb0JCQgKOHj2Kn3/5FSMnPYdLuttMliKQauHTntDC25IinZYiJfyVENeB2qKvxtmmK7yAU/u5ejfoMb1fN+jyMnAsZbuihYCURAl3ceJfLHTpAjreMSl1Cqb36waXHgHwjh2NS4f3osrZHc8unWA0LlHW6N+9G/Q4kdwdecMP8vXwaFx6BPDbp/frhtqgcagNGgddXoZAGS1dNRdF2Stk70k85owB3RHy4F+0EgUdzDvvvINdu3Zhe3YuJr74KnR33q36XPKMkiQhGqn2U+SHINWjFZBXwuSOVSpkTOLgjqVsF5QnUmofKB5LamzaWmhO1xrxfYiLr9ccyVNcCEuVTJKDtuDnlDSiYv2b/EKN7KePSVs9B2mr5/Db+jq68V4Guhc1nehFoN3b4v9nOSYMjcTsBx42UuQIWcWV0C+binNp++DuoNMSITQEdErLHAAMGDAAmZmZyMjIQHh4ON5//3306u9vdFyVszvvLjM3NR9QpxCZ456wpDm1lGXPnCrwSvftF9YTfbOFwcjidmBiK5x4fO6Fot6aQcqHAJxVQfyiLF0118jKcPDDOJSumguPxDXYZJjP9OwVCDZY53xnz8eeSHdcOryXL/wLCP//+X9jR8PbsH9UoBO8G/R8AHnecO4lRJI38usMjcCzzwPZ4/Fl6hTEX32Et+ARSE9aMn6VszseCH0M+/fvxzPPPKP6s9GwnqFDh+LIkSN444038NBDD+Hzzz+HZ+t11ed7hEbxz7RaV6qcIkegrWJymHqmxXUr07PPSyYIiY+nnyOpbfQzYg1iuSRWDuUshp4hEYhT6AlNCHdxgvvizZiZVcE/f92LdyNt9RzJAu8kWSvJkNPUEhHLHxOZqMeQw3uRMG+d5HVJaRPSfca7gTueeBCUSFs9ByNWHjbavmFbC4Y7ct+Vof+rxf79+3H//fcrjqVhHgzDPA5gPQAfAHsBTGNZ1igVmWGYKQDeAOAFoAjADJZlSzpyrkZz6ozZrGIKCwsxduxYvDRtCp4ZN8b0CQbUCjE1QlaMlHtBqrZVR0ELbgJ97yTDk84glXopeYRGCRqWA5zyRQcQ04kTchCXLtD2whQXZaXrV9UcyUPSoCWoysiEd+xobIzxhS4vgxfYY34twLGU7RiSPJHfFhPkw8fOEfcvEej0vdOrcDrTTux2pgO7WyJi4d2g5z83ElTdvXg3r9jdOelZ/LY1Eb/99pvZtaXsMWPN1rS3XAC4+NqXXnoJ65a/hkcfGqLqHPJ9IN9pqRI6pjpBqIV2d4plg5pMW/r5EF+XWO38wnrCP3ENtfBqg2S6KoWCiJ93grkLXVOxveRzp5OmaEjmuTjjfGOMryAkgjyvdAHgTWfqkVPSKCgQTodyiJMf4qN7I2lQWwcY4hkgkGvKJXBIWeZyv0zj628ePl+DA869sX//ftnPRA57lA32kM3KMEwPAGUApgI4AOA9AL+yLPsP0XH+AE4AeBrAfwH8A8B4lmWN/9M6kE5rmaMZOnQoDh06hODBg/G3kX+FuxsnfG3lVlVTWFjKlaFk4TPXQmeJRc8cSIZWuIuT7AofACJzoowUIbp9GGCsxNEuDULA1veRXtKIdNev+cw28XX9E6OQO2oy/MJ6cn0TDW3BSO25p969iGd7tSly+XWN8DuSB//QKElLokdoFEoNwlQPyJZ6MBW/U3MkDziShyLqvi8d3oudjnmYhj/xx9XmHAXDMDhz5gz695cuoaPRvkycOBFubm6Y++Ic5O/52OKCrVJuNrl4WXORi18Tb+P+VnctqQxYAILivuQYJUVOCnPkEC0b6Rg6qbJR/HUpZS7OnYtpk1LwWocuxChDFr1nSATSs7k4XJKlTuJ4SQ1MgHPP5pRUYGOML6qc3TmXukypIwKpp0lKMJEQDs+QCCSFQFEBJfjOng9dXgb/f3pffi5WfHFE8RwNs3kSwHGWZT8FAIZhVoKzzv1DdFw4gAKWZXMMx70FIIVhGA+WZS915IRpNGXOgJ+fH6L+9jfsyPoczz8TK3scXbOJVkqsdTWIBbucS0UcS6e0X0x7KnTE3Upfi8YzhFvpE+WK7nohJQTpoGbyAtliKCOw/vhRrqwHgPjZ85EeYuzabomIxabiSkw3rK43FVdyq+qdL0OXl4ERczg3RtqcZcC6xRiTDMAQq+ef2JaoQa/CCW2uqrYio1JzFwY7exk+B/oFmwdkVuNU9C6MWJkK39lL8GnI13jqXc7tWlvzf6i/ehV9+vQRX0KjA3niiSeQlJSEw8f+h6BhI23iUlTrVjWFmhhXJWu+sKessaKXX9cIFFyEZ4i8kqaUoKFmPqasb3IWfrmxl49uU/r4zPTMMUiYtw55qwEMDzUc213gaYiP7s1bzTcVVyKnRG/IQtfxChjJSs8K5Cz3RA77JwL5Bis7WdCm42vEz56P8iIdb3F3KEwFgudz3yHD/NwjYpEWksFbc+Oje8N9cRov4+h7I++Z42W/ICio2eRnrWEWg8BZ3Ag/AbiDYRhXlmWvUts/BfAF9XcwgHoAtusnZwGaMkcxZ84cTJgwARNi/gZ3NzdZgZGefR5JIcZWO1vFjtwI6JeHUoYcUXIA4f16hkQgvKDNukVDhD3JmBOWRMlDXIGw6DAdcMzXpzP0ShQHO2+M8QXyvubnA4BvxRQT5AM06LHpTD02bGsxCORKxETEAqKYFI/QKPiFtc1bzp1MIC85QFwXKw8ouMi3HSL3IRVc7hkSgb7Z5zFikg4fFAfw97Jn58sYO34taiqP4KGHHoKjo6PR9TU6DoZhMGfOHGzcvh1vhYQbPedSz71nSARgsPRw3wNhHCmNUrKCLcoUiePQyNj5dY0YIqovKSSP/45LtQ0TZ+7TygZ9XW8TCp7aMiti5Ny37os3owXga0UC3AKwKDxaELOWtpqTFR6hUQC9OKbGo5Oi6L9jgvoYXZe0FKNdz+muX6NlaSxmZo1GbRGnFG6M8RVcA2hTTpMMSvPYrAq0Dl0ocAlvOlOPmCDung/l52NYuPqQoJuBC82tVnXxINS2sGAYZgaAGdTm91iWfc/EqW4AzpI/WJZtYBim2bD9KrX9d/I7wzBjAWwEkMSy7A3VrjVljuLhhx/G2LFjMTP5Dbz/Viq6OjvzVh6AExrcQ7fVEF9lXlKEmtg5U8KbXtXaOruVLkuiBBFi4ixVv7CeyDe0wDmbuc6oawPQZmWjSzm0vTS8BEqPOGCbrHhbwMWPAFwPV/F8PUKjBMKSc5PouLZhaAQgrCG3YVsLpicr3rIkvOCRKBBLBDtBbCkY82sBv2/4rkWY/uEabs6GuXvHjkZ9Tg2GDbvX/Ilp2Jy4uDh88skn2PjOGsyaO09x4Ua+23RxWDquk2Cte1UpDEONLFGTYUl/r5UUOjGlq+YqXl8qiUEttEwWo1QjMjLnI25RKVGyhY7lBYDp/cDHzNJuVhIzRyus9OdBd8sgn41+2VSkh0QAwyE5bzIWv4/6XrUOXQgAKC8CNhS1AJMqMb1fN/xw8QoWDBsm/yF1cgyKm6TyxjDMQgBLJXZ9COA26jgncDrSZYkxvAD8B5xVbhrLsp/ZYNpWoSlzIt566y2MHz8ea9/dhAUvzhI8fESAk84C4rg2UygpdKaEr1StJXOvoYQpV49UjIqcNYJYpM42XeGVXgJpRn8pLwMAl/UFQLLVF54Ow/TEbsgdNRmLMjkX65Z569DXkTsn3MUJwfnZiM+qQHlKLWZNqueLD9PlSdJdAY/ktgSOrOJKuPQI4BMNuhfvxqYzEzDccNlLh/dKWhOkPlfyQiRuKqJ8ihuHe4RGYdOZenywZAvqLp9Czuz5fB9H8Wdf5eyOUYH1SN/8Ex59dKbRNTU6HkdHR+zevRuhoaHI3bcXo6Ki+e8Zba2mM9/9wjirM7EEiZMelNr1ifdLQRQJubaDploA0hmp4nHFrk/aJSpX9+3S4b3QAbgEGCzwxi5YqbGVkFNYdXkZbWNTx3g36PnQCKKIlRfpeCUIEMa60mOK5VnbWG1JUN4NeoGyRd+fUr05/nfDd0WqQDqRfdP7dcPGGF9kBXJ/k3voH9yCmKA+uLj/Q5y8XI/Q0FD5D05DFpZlUwGkirczDDMNXNwc4R4ApSzLXhMd5wLgMIAjAIJELtgbRqesM6eEg4MD3nrrLWz79HP8cUWYkZxVXIlNZ+q5YHqY33fRVBKEHOYojEoWO3MDlc2NVfEIjUJS6hRBaRJikSBWNiJoa47k8en7SalTjF48XKBxI8bm6hGcny0Yk8Sl0Nlm5JxNZ+oBcAKSjissXTUXuaMmQ79sKmKCfFAbNA4uPQL44GQ64UGqthV5CZH/83AXJ8RH9zbKnpWCjEeuC3ArfPJ50dercnbH2PFr8f6ij3DpfAUeeughyTE1Oh5XV1esWLEC27ZugZosWv/ENVwsKZV5TWPKMieVFCWXmCD1t/j7SM5Xc136XKmyHUrnkiLEtIVKXNrElAdAKiZYvI3cq/gzIEoZeaaJa5TIBKk5KxET5COwxkkhV+BYjKnuMgSiSBJFbtYkHZ8Beyznc9zd3w9eXvKuew2L+BTAowzDPGrIbE0FsE3iuFgAv7EsO9VeFDlAs8xJ4uvri+joaGQeOoqoMVzweVZxpSDuarghQ4q0eTcVK2eJtcxcN6op16vafWr7LMqNE5kTBT9Drbf8ukZBmYb8h0YC4JQhOmvM35ApSqqzA8Jg4+k5HwGjJgMQujLIsaTRPXGjxgT5tFlL+LlzQrsoPBp5yRPxyaQJvLD0btCjSNRUnP48SMYZeTELY+DyjF5y5IVGIH1p84YDHskruNW5YW6063zkgWFwuHwKa1ZNw4YNP6Nbt26qPneNjiEyMhILFy7E+bJT6DMgkN8u9/x7hkQgnvp+0P1H5ZIOaKQs9qaKB5Pvq1TIgprCxKQArp/omunZ5/lC3VIlhghyxYfJNcXJFLS8kepaoeSVkJOrZE5Shb7F53qGRMjeiynobhhiV623yIJHK3JStTfJ3yTWL6u4ElUZmegOICboZRSFcy1kzkwZg+H9/jBrnhqmYVm2xlA/7gMA3gB2AVgBAAzDPAtgCcuyA8AlSgw3xNPR+LEsexY3CJspcwzDHAIwj2XZo4a/JYvvMQzjAOAjAI8DSGVZ9m1bzcGWzJ8/H2FhYQgfFY3bbrsNOSWNcCh8E1XFAcDSCXyhSrWxa+1dGqQ9EQc2i5ESYERo+1EZWv6JawTZrLS7lpQoiUzUG1bCnBJH4t02nanHGCrejlyTCwg2uCPQaNjWloHKuzQiYuFvuB5pHj7dcCxxZwTnZ+OT4kpsSOEssieSu/PFgOkK7+L50y9XqZel+AVVumouDjy9nP+7zY3yCGZN0uGd2mfx0ksv4fPPP5f5H7m5uJVkA8MwWLBgAVJTU7Hr3/8EVJQqIXGhZHEDwJAk0yiItxQrWzRy1jG6hqFc4pJUfTn6eAKxfMUbsrTFiiB5hgniRAepaxOU5CQtGyXjX61ALr6XHttUhxopl6i4h7f4eDlZSdeuJNBxeXQdOwC8JR/gYv6y0/+FrVu34ttvv5Wds4blsCz7OQAjwcuy7AfglDywLDsbwOwOnppJrHazMgzzOMMwGwGEUtt6gCvpPw9AbwAMgGWG3SMA/AygD4AwhmFcrZ1DezBw4EA88sgj+HTPLsH2usunkFPSiE96hSE4P1vRRC8WEqbcBkrHWqIIkjgWpXOV5qAG8T2Km1B7hkTgbNMV+Ceu4esy0cduOlNvVIzUu0EP/bKpGPNrgWBl7REaxZUNOFOPrOJKQUFf0uieHC8lTOViVYgVTxzsDLS1GIqP7o04dy8kpU6RzEoVK3H0MeKirvQ+PqYHnCVy3dZaeJan4vXXX7/pXay3qmwYO3YsqqurcbSorYqBqeeTfEfEha7FqGl2n1/XiPy6Rj4WL7+uUXCemsQKpWtI9WaWsraJZYvSddWUL7FEDqmVXyS20RKkziWyg3Yly1n3xPMj8krqWDH9gzlv0MysCqw+WoZFH+/D9u3btX7NGkbYwjIXahiH9h0rFd9jwGWEdzH8brctKBYsWIBx48Zh3Pi/Y1SgEzYMXci78z7I2IEPAHz6fARKV82VLSArlaoPqE9oULtfjDVWQCk3hlpBSAeA08HOE4ZGIs7dC1v01Yhz94J/YhTf0H56chQAzi2Za3ClAlzRX1ABzVWARBHPCn41S69olVbb9D7xKnlUoBPQ5j0TfBb+idICmxyj1GCdHudYynYMD+NqFcYE+QAxBjf+rNdwVV+Ccc8+hYSEBNmxbiJuSdmg0+mQmJiI9F27MfQvDygeK7Y60d8Rvt2bCcWKtrjVHMkzZMlW82MA4NvG0ZY+ugSQ3HfTVJKTUQC/zBj09eRQ8k5IXa+jEFvfzD3HW+RCJYkWcufQLtYqZ3c+c1YKstBrqfsNxd++itRlyzF8+HDJYzU6N1YrcyzLLgYAhmH+Sm2WLb4HYD+AOABnACxlWbZOalyJOjEdzoMPPoiAgAD8dPx/iHn4EWBSJTZsA1f7xxA4H3/1EaxEnqQbQUkBsnVpEblg4PZw74rdqkrxJmUFF/kq7ACwHG0rfKI4EVdmmShmjR5XTtiKSwWYI5SVApFJjTqCOOZFTmCL46DEsTTeoVEYksy9AMl9A8D4hKVYdv0i4qeMxvr16y3uNGBPtIdssAe5AADPPPMMXn/9dfzW7IC7urRKlu2QgpTvASCbGAFIu0KVLF+kbVh+XSPyDWENRFGTOo8u3C0OAzB3oWlOohTQPmWVrMXcxSoNLXPEcoPen2UoRMwhlD3T+8lfs/lqJa4WvoK1Ka/dKos8jXagvRIgZIvvGbI/JpgagK4TwzDMDVuhL1iwAC+88AIydmciJsgHHxSvRR04d6tLjwCUF+lwYNJynJryHFYdtNx6JhZwpgSemj6t1qx21QpcU/W2/MLks7ym9+vGKzQkILwlIlZQ7FMMXSpAah5ixU8caCzeL7ciJtAdP2jlT1z+hH5hkkQJcYFjMhe67EnNkTz8mPcb4nY9gZnPT8e//vWvW0KRU8Aq2WAvcsHZ2RmvvPIKUlJSsP61BQAM7d4UrPRAW3HtLfpqLB89EACM4tkI9O/iWDq6Q4pUL2OSrEDH6uXz24znRFArK8zNjBcfZ48KnRLiRaJcGRM5WUh7FMqLdFzNOANcyRHhudz16uHT9xecTE/Ev95chueff95Gd6NxK2IyZo5hmIUMwzRL/PxH4TQ9VBbfs3fCwsJw55134vtjhQCAZ5dO4MtZkPYsG7a14GzTFSPlTIwal4Va6NpOthhfKr5PSuCa646QcuHQ+CeugfvizXBfvBl+YT2hy8sQCDU5qxxxq0opY/T5YkVOPAa9T/xDYvlI8gN9TdqdTALESSxTnLsXr8jRZUdyShq5DDXqfpg5a5DmVI8nX3j+plPkOrtseP7553Hs2DF891NbX03/xDUoXTVXYCkXP0OkXIkUtNJGvk9AWywdXRpHrMT1dXTjfzgXbqPgeDKmEmqt+CRWzdKY25spIUxK/tCLWPG/NJcO7+UVPdITunvxbjgUpgq6O9ALxcEptcgqrkSYQxV+/3A+NryVqilyGiYxqcyxLJvKsmwXiZ9pCqcVA7iP+luy+N7NAMMwWLlyJV5//XVcv36de5HHjhYc41CYit8GtBkUiDVHTqFTYzGjV7BqExnE49sDUgKfJCKIExLEmXLWtEYTK2Zyx0hBPuuVC7fysUlEKCuNF+7ixGcW+ieuMUp8EOMw6FE8P/U5RD49EWvXrr2pFDlAkw3dunXDkiVL8PbmDwR152jXprnWcaJ8SSldtHIHSHdwIPUPpZRF8v0kWNuBQgpzFDR7klMEuSQpOdTIKFqhU0v1r78gZvREpKxYienTp6s+T6Pz0l5u1k8BrGYY5lFwMTFyxfduCh5++GH85S9/wY5tGZgydRpGBTohTXRM3eVTGLHyFIqyo6jMzDaBrjbTSYyUhaw9VrRKig2ZBznO0ppMgGnhKPV50Fmr9L9yY8tlntGuWPpvGvqzDXdxQn6dfFwTfTwdg0QydxERC0/q+nR83yUAry+Yj0dDH8Fbb7110ylyVnBLyYapU6fi7bffxsHCbzA85GEAbdZaJcTfKeIWlVPixIoYDVHcwl2c+Gxx4solLeVoi1969nmjGnK26AEL2JeCptRfWcptakqJMyXvTPXmziquxKhAJ+TEcn1aAc5KV45xiIlp64qzo8tXePqlb/HGP9cgLi5O8ZoaGoR2UeaUiu/drKSkpGD48OEYPe5pLnaOagdFExy9ABFULSmi0JlqNq2EJUUzbQHtCqEVSnOVOCmXhKkYFBqlFa2audC1n+RKqRC3Km0RHZI8EUjZbnS8VHYyQfxSbImI5Y+f3q8bLuVl4BKA0sqL+O+pX1Dy+ZedSZG75WRDly5dsHz5cqxcuRKPPjwEDg6cs8OUcuQX1lNQu/Bs0xVs0Qvj32glTQ66iLV4/L7ZjbwiSEP+JosPubZiapM6bI0ppchcTI0ltV8sK9QocuRfsXwgi/mcEj1GBTrxiV85JY0oxzi+QwXh45xy9Bk0ELNmzTJ9cxoaBhg1bWluNAzDsPYwz2nTpuHOO+/E+GeeQ1ZxJdLmLJM8LuJKmSAYOc7dS7KzQGfBlMVMSVCKBbslK2alc5XGkAryFic+AMalGaQqwZeumssXTwaAFTUueOKJJ/Diiy+qmru5MAwDlmVvaS3RXuQCy7IYMmQIXn31VTwa1J/fnjtqsqDlnJTynzBvHf87ndRA/qYVNblECXEpEkDYyUFK2RMfTyNuTUUa29tKwVJrMbOlQic1vtz1LVlw0sfqDBY2+nPcdKbeqIYlgbbYX29oQPj4yXj//ffx2GOPqb4vc7BH2cAwzL39HF1+CrnN2+qxcq5Woqalwa7uryPQlDkzOHfuHP785z9jR+Zn8O7ZE5EjpNPEB9SckNy+fPRAk3FUUth6pap0HcCyljYEtfdV5eyOmVkVAIA9ke6SY5hSAglqhSx9vK1eGnQtPRLzJ64lRcYnNfSqA7vgP5XN+Omnn+Do6GjxtZWwR4Fta+xFLgBAXl4eZs6cia+2fwBHR87hkThsPAAgKXWK4rkrF27lf6eVOSIvxIsFcTcIua4jJCknPrq35LlqXKtqe45aa8Gz1fOoJBvMkRuWzE0qw90zJAItEbF8Nmt5kQ7di3cLOjsAwP6lfZBVXIlDezLgerUKmZmZquZmCfYoGzRlznq03qxm0KdPH0ybNg3r/rkGS1NXSh7j0iMAI9YtxphfCwSrboArWRHH92ZUFpLWuDUBy4SjVNyIqVg6QH3RUPG15DD3xaCkhMrF+NnK2gdwMUimXtiXDu9Ffl0j6lub8cWB37B77+ftpshpdDwRERHo378/tny8EzOemQQAWHVwJxKHjcfKhVsVvx90CRvSw7ivo5tif1MARv1X5caW6kZCUJI/5mBLl6w1i1dr6sXJzcWSa9NJX6TU0qhAJ6OSJFwbP27b+VM/47vcTBw5ckT1NTU0CJplzkyuXr2K++67DysXzMM9w0di5JJzghRzmqLsFZgwNFJxPLL6tqSUiJxAslY5EY9hSqGTWr2rFchKMWhyn4m57lJT17dmnNxRk5Ff14hVB3cKxqQtc7q8DCTMW4cWlsUPDVeQnLIMCxYsMGue5mKPq29bY09yAQBKS0sxdOhQZH+wCXf36gUAfHkbcT9fOWWJ7qNqzuJIXOpDboFljpyxxOJuDZZaztoTU3JQTs4pdZkhkMLjVc7uqPz1V0x/NhZpaWl48sknrZ22IvYoGzTLnPVY3Zu1s+Hq6oqNGzdi4Ztvw0X/G/Yv7cPXnRMTHL0AOwpzFcdblHnSohIBSoJOqqClpeMrZXtK9Rqlzxen+ctdR9znkP5dXJLF1Hjm1sGzBjIvNW40lmVR0ngVT095BklJSR0xPY0Oxt/fH/PmzcPitRtw0el2ANz3eEjyRKRnn+fLFYktWPTvniERGJI8UVCmR6meG5EdYuVQ3B9YfB0N8zClsInLLZHe0VKKXEyQj6Bg+tWrV5H4jzl49dVX212R07h10ZQ5C4iMjMQjjzyCVRs2AuAKCcux6Uw91h8/Kqj7FOfuhfXHj6L5tY+x/vhRLMo8KWjtZAvEJTjUKFZSY9CYKoRsDbRCJ5e9q3b+lrpGzIW8qMXzpQW4d4Me31+vQeH1ywiOeAzvvvtup8pe7Wy88soruHTpEj5G4FtQAAAgAElEQVT7tC3mySM0CuEuTliUeZIqW2Rcc9KaIrwA+NZc4sWhNYV9bxT2YJVTi1jekPg4+kcMkaWbt+9AWMhDCAsLwz/+8Y8Oma/GrYnmZrWQ6upq3HfffXjrnfUod/aWzGx1ocqXuPQIwJ6dL8u6ZUnSRF9HNySlTjEpSNW4Ma11IapFnIKv9lqWJlzIuTDEJUzU1oVS8zmpzbwVz2l6v26YuXgZnnzySUybNq3DFDl7dKXYGnuUCwDw3XffYeTIkdi/fSt6enF13kgR6rNNVyRDK8TfL5JYI3a5SpUlopMd6MxVS8I3xIjrTFpCRyVw2Rpz6tQR6EQHGhIXR7pATO/XDSVvvoyphb9i586dePDBB205dUXsUTZoblbr0RIgLMTLywtRUVH4Ni8HcXOTkDN7PirWvyk4hq5DVxs0DjOzKtC9OBPi7uEuPQJwauhCAMDpwlTMi4hF6bKpipmv5pTzMHe/JXTkKp62OMrVoDNH0VVS6Mydl3hOawt/xKFDh7Bt2zbNItdJuP/++3H33Xfjm+Pf4W8j/wqAez6SUoFjKduxKPMklkNocaa/gyTOLr+ukctuzaxGX6qsDU1bqAMAwzkQZbhagy0t7zeTQmdpdi3pHZ0DY2scUeRigrgCwdXhsXD7v434y1/+YvV8NTQ0N6sVFBQU4LGQh+HdoMfGGF8krFuseHxVRibqLp9C69CFfJwd+Zfu1Td2/FqUFVwUuGRkx5QpgtuRsWO0wFfqvmCpu1c8FoH0cVUTI2gqO0+pVZeSVU5uXO8GPbKKK/FZwQ8ICQmBq6ur4vU1bh2uXLmC77//HgOHjRB834lbvq+jm2RoBSlrsXLh1jZFzsDZpitG8bXiVmF+YT35gsBlBRfbpV2XuZjTGqsjUCOD5GQqfb6pIuekOPDGGF/+h/R1LgqPRktELNLy/ocnnnhCW+Rp2ATNzWoFb775Jgr/m4831q4XbB87fq1kdwjf2fMxKtAJHyzZwSt1tPk9p6QRVRmZqA0ah+7Fu7Fn58tY/dBIhLs4CYqPKqFGYLaHm1W8gpezfEkV5LSnFbst6895hEYh85vv8fknu5Gbq5wIY2vs0ZVia+xVLgDApEmT0NerB/7+AhcHRX+XSlfNxaLMk6rGERcSpklbPUcyi7WML3/UU5BIIeZms5bZAjVFg22FXPkjXV4GPukVhk3vfoi//8kDq1atstk11WCPskFzs1qPZpmzglmzZqHw+He4fPI4gDbrzsEP4/BlUihaDa5ToM0CN+bXAl7RcyhMRcX6N1Gx/k2kzVmGivVvojZoHBwKU1F3+RQiRyQgKXUKtuir+YKz1iBneVLCUkuanCCjx7NkPubQnq3O5K5HfkjmYreTh1FfX9+h89C48SxevBjpH23HbZd+NfqO+yeuwfLRA7GjMBdpq+dInk+39ZIjYd46k99xpf03kyLXXla99rIcynkLyL8xQT64r7cLrl27ZrNranRuNGXOClxdXbFw4ULMXrIMV0t/FOzzCI3CisMJGFBzAh8Pa8DBD+OQ7vo1WiJiZUuZADBKjog4MAzLRw/kFTpz3IXiH2uwVqFTM6YlZUdoBUr8Y0m8j5o5m5onsY4cS9mOro6OmsDuhNxzzz148qmnMOPVJFz+4w+j/UmDliA4egFGrDyM9cePYkdhLp/1vnz0QKw6uBPLRw+UHJvOjKe7RxDoll9kUWEt1oRH2OLa7T2+KYudpYtg+oeM4REaBV1eBnru2qEt9DRshqbMWcmLL76IWbNmYcz0BOQf5ip3k4c3OD8baavnwH3xZgxOqUX81UeQVVxp1MpFCYfCVCQNWoK+jm7Yoq/GsZTtNrc4WTqeVH04MZZm3Fp7vDWB29Yov6QnZn5dI9JfWo85H/6oCexOynvvvYcHHg5B9OQ4/Fx6WrBvT6Q7XHoE8Nb7S4f3QpeXYdSxgVbcCOJYuoR56yTj44hSZ61CZw+xbh0NUb5oWWCuTMgqrsTMrAqMXHIOI5ecw9hcPTadqcemM/VoiYjFPU89oi30NGyGpsxZCcMwSEhIwJ49e5CY8iYW/Otd1Ne15at6hEbxpSrKi3TIKWnErEk6+M6eD9/Z8wWuWDnKi3R8YDOt0IkL6or/VoMpC5ZcvTpb1nKjxzN37I7KolWaF/25lxVcxNmmKzjbdAVVGZlgGJ2mzHVSunTpgjVr1mD5ipUYP+MFbN6+A83Nzfz+gx/GYf/SPgCEBbjJ7/6JaxAf3ZtX6KQUO0J69nnB3+JsVrpgsVpupDWOnsOtApH/BKe/RGiyQcNmaMqcjQgNDcWJEyfANjVizN+eQP6X+8GyLC+M+ge3oH9wC5/oUF6kQ1WGcjPl3859hd/OfYX9S/tgi76a375FX42EeeuwcuFWHEvZjtJVcwWZceYIbLXKkDVuB1sJZKJYisezttiqKaTmT2+jr5tf1yasP32+J55LeUVbfXdyYmNjcfjrI8g/dhxRk+Nw/Mef+H3ifp4tEbECJcozJALx0b0xYtsn+PLx/2DEtk+wfPRAHKqvAcApeHHuXgh3ccKxlO0oK7ho9ENzs3WBsFWYiK0R93mW+pnerxtW/rAU+5f2Qf/gFnQv3i2oP9e1a1dNmdOwGZoyZ0PuuOMOfPDBB9i+bRvS0zbglRlTcf7cL4JUdYDLXO0f3GLS3XpXH65G1f1B/pL7zzZdwRZ9NRZlnhSUIlAjsG3hqrWlgDVHYKs5rr2TH+g50MVbCXHuXjiWsh1/zkxF165d23UuGvbPPffcg7y8PCxYvAQzEpMxf/kKPpZOrBjQeIRGwT9xDWKCfPjM96RBS1D5/f9wqL4G4S5OCM7PRnB+NvLrGgWLCRprCgjbmyJ1IxG7XZU+m0uH9yI9+zx0eRkYFejEy/uckkZkFVfiQOl5TTZo2AxNmWsHHnvsMa4KfPTf8Mz4sXjv3xswqr8XX2coJsgHG2N8MWuSDrMm6RQTIohCR1bicmzRVxu5WmyBVPaprYW71CrXXC4d3ovSVXMFCpUlbmfAvPZn4ir8AKfI+YX1hF9YT3x9uBKDBg0yew4atx4Mw2DSpEk4efIk3O/shbAxE7AjKxsXnW43es7EkFqWG7a1oCojE1XO7qj8/n+YWlnC9wAVFxUm30EaS1v62aN1rD2R6i0tF2ZC/qblTZWzOzxCo/j/E6KME4V8w7YW7H//M002aNgMTZlrJ5ycnDB//nyc+O57VJ47i0ljn8LXn+6AB6WUEcXu2aUTFGPnxApdnLsX726hOdt0RVWhYSJwzI2fsRSlF4EtXhC2tMJJ3aeUC4UW3HTbpXAXJ16xTs8+j+yrlzWBrSHA3d0d69atQ84X+7E9OwcvTHsO//vmKL9fqtA2wNUn27+0D55dOgG6vAxUObtj6acHsOSp4RjzawEA8O28InM+gn/iGniGRMAzJIKPmTPnebsVlTe1SqlaeScXbkH2+SeuQc2RPOiXTUX8O7MR/85sjAp0gkNhKuqv/KLJBg2boSlz7Uzfvn2RmZmJtLQ0fPTZPjw+eSpKfjiB1tZW/piYIB+cSO6OouwVsla6u/r8FT9teB1pq+cgWdcHaXOW4e8HnbF89EAsHz2QD45WU8JE3N9RjTJkr4Kdnjt5cdkK8T2Tz4pYAMmP2CK6fPRAxEf3RriLE+paWzSBrSFJcHAwCgsL8cILL2BVyjK8NDMep/+Qj6/0CI3iY7FaImL57Us/PQCAS5gQW+LoZ91WZUpuBHSrM1tgrTyTynBVSibzDIlAfl2j4P+nualWkw0aNkPrANGBsCyL/fv3Y8mSJaivr8dz8c8j/K8jcEfTFUGT9rQ5y2THaB260KgWHWFAzQn+9zh3LwxJnqgYJ0MLRnHT7/ZS3tS0xlIb26NGsEuNpbaBtlTTc9LMHADfcolU6e/r6MaXliCV+f8yZxm+//kkAgMDVd2TrbDHKu+25laRCwDQ3NyMbdu2YenSpfD19cXkqdMx+IFgANJdU8SQjPmYIB/oDX2dxYs2EoJAukKY+7zdKGiZYWn9SFNjK2FOjK5HaJRAfpaumst/3qWr5sJ98WaMXHIOd997BcdT/o7Ga3XQ6XSy47YH9igbtA4Q1qMpczcAlmWxb98+vPbaa7hWewWvJszA4Mef5Hv0jVxyTlZhU1LmEtYtRu8XZgAAn/0qVjDE2JNAl1MupY4h+00pdLa4r9JVc40UOYJfWE/ejVVWcBFDkify+w4sy0BibSWuXLmiCex24FaTCwDQ1NSEDz/8EMuWLcNdvXrjhTkv4U/336+o0M3MqgDQ1sgdAKb368YrPuJ2X2LSs8/z7lml9l83GpKxb00yB42cIif+rE0pc3JyiyhyZN7p2ecRH90b7os3o+Kbg1i2Lg3ffvutVfdgCfYoGzRlzno0N+sNgGEYREVF4X//+x9WrH4LyavWovDI1/z+/Uv7IGHdYslzHQpT4Tt7vuS+tDnLkKzrg1SvCKw/zsXgkAbddG06KW6E+0V8TSn3r7iOnprm4bYsVSKeIwkqJz/kxSJ27x5L2Y6/ZH2EwMDADlfkNG5eHB0dMXXqVJSUlCBuyrNIiJ+K33+/wO9X09Ulp6QRm87U45NeYbLPNQlJ8AyJQLiLE1fkOvs8EoeNb5f7shbxfVgrr9Ra5MxR5GjoUlGeIRF8clR69nmsfmgkLja24r777jNjxhoaynS50RPozDAMgyeffBLffPMN9n3+GR58cAgcnbjVdUyQD7BusaTLtWL9m4oWOtLXFZ6D8fGwBizKPMmVLEjZjiHJE22muLWHO1ZsSaAhipySQmdLCyNdCJi2ytGKG+9WCY1Cft1WbJm3jt837eefMXCgdEsmDQ0lnJycEB8fj88++wz7PvsM9z7zNBiGkVRCNsb4Iqu4ki9IW5WRiTRD/+fhhucf4Kz0SalT+GeEPL+ROVGIRNtiKXfUZETmfNQxN2omXO28NjlmyfMu1brL3AQv8lkRqzyRCZcO78XKhVtxtumKbDs2APhZkw0aNkZT5uyAF154ATNmzMDYJ6PxyvwkDHssDAzD8ArdB0t2oM4gnAlyihxN69CFOPC0DusX+8C7QS9YLQLWKT50xp2lCp25sXFkdasU5G1rao7k8bW7iCWOXLPK2R1V1BzpNkstLIt169Zh9uzZ7TY3jVufpUuXYurUqfg6bz/emDcXvYJDjI6hFbmK9W/KjvXl4//BlweAE6HS+4k12z/RJlO3KR6hUfwiLr+uEX6UAmUOcj1Y1coweqEp5ZI+lrKdlwPp2eeRFLIXx1K2Y4u+mk9Sq2ttxscff4xPP/3U7PlraMihuVntgF69emHv3r14d2Ma/vnWKsycFoc/9JxwiQnywZ6dLyNh3WJVrb9ouhfvxoZtLZiZVcGnyRPsIUZOCiIsj6VsF1jgaEFOV7U39z5MZe+KM1bJteiemUSRI/W9pF4EvzRfQ2BgIJ577jmz5qehQTN48GB8++23mDnnRcT94xWsSHoFLS0tgmOIIrcxxldxrO7Fu+FQmIpNZ+oFi7GbBVtmqgPKCpypz0Usd0hmO8Aln5GkqIR56/j4ZaLkHb1WjRdffBFDhgyxZvoaGgI0Zc6OiIyMRElxMcCyOFp4RLCPCGy5eDkpiDVvY4wvL7jMjSWTK55rafNpNYjdqHJuVXPvg5xjKrmCXE9KkVMam3ar9B/6IOLj4/mkFg0NS9HpdJg2bRpKy8px6Jtj+OVshWA/3V2GyAeXHgHwnT1fUDbnP3/6EUXZK5BT0oiZWRV8BuzNoNDZ6xzpOF5Sa9IvrCfio3sjzt0LAKfckfJRFY1/oN7FCTNmzLiR09a4BdHcrHaGo6Mjwh4bjl8qKoz2kd6uaWaM51CYCu+GFTabH42lipypDFra8kYrcn5hPTHERqtzS+Jt6Fgj8iIEDCUTwFkO0kIisHLhVuw6dBj9+/e3yVw1NADAzc0N9w9+AGcrKtCvvx+/PSbIh/8+jgp0AtYtRkwQF1qR+44TInNyMTZXj7J3ZmNRZiQ2Hj8qGNdea0jSkGfML6wn8ikF1dzn2BYtA6UWl0SRkyK/rhF+4CxzzWBRd6UWPXr0UDUPDQ21aJY5OyQgIABnK84ItpGVN7HQySHliiXKU+mquTe0aKjYxSmeD/mdCEVxk3DazUkfrwapXqrmnC+nyMUE+RiN8/IbsWgCi969he2VNDSshZMNFUbbY4J8+H/J7wAwJHkixubqUZWRySc1zH7gYax+aCT0y6ZCl5fRIfO2JSQRyVRmu1xbPrWt+qSOJ5nr4jAQUtZFzoJPZNl1thVdGQfNYq9hc6xW5hiGmcIwTAXDMFcZhjnAMEygYfvjDMOUMgxTxzDMToZhuhu2OzAMs41hmBqGYV6x9vq3IlICmwhopQBnwDgxImHdYnzSKwxjcy1bfduyJ6N4BS0l+IiAlOorKYWl/VelxqGvTzJYSYwenTxCvzjF8/YIjUKd7/3wGzCg05ck0WSD7QkICODdrKaeTdIfdOUPS/Hp8z0xYWgkAGDEtk+QlDpFVckie8MzJIJPRLJFAoQ5x9MKHZFNJK7WP3ENNp2pR0tELD8vv7CeWD56IJJSpyAy5yOkrZ6Dobe5IHLMU2bPW0PDFFYpcwzD+APYACABgDeAXAAfMwzTA8B2APMA9AbAACA1NkYA+BlAHwBhDMO4WjOHWxF/f39UVJyBmoKoppIier8wA2N+LcDGGF8syjypqk5beyJW6KQUPCIM6VpYtOCWevHY4mVk6rOhe1sSNxb5u6zgIp8Y8cWJkwgIkG7L1lnQZEP7QBZ6tBKnpNBtOlMPz5AIJBhK5qwXuVi36Kv5fs72qtCJlU1S29GSmFlT29TOh5ZL4jIuYjlC5IJHaBTw95hOLxs02gdrY+bCARSwLJsDAAzDvAUgBcCTAI6zLPupYftKAHsB/AOc8NYZrs0AuLVKuNsAb29vNDY04Pr167jtttsAtLXroXu31gaNQ/fi3ahTGGuLvtpQ+4wT5osyT2JHB5UekKugrkYIi12qNOKK65bEv5HaUGKLHMEvrCdAlUKhlUmxy/ZYynZE5nyETWfqcaHiR2z951oUHjpo1nxuQTTZ0A7cfffduFxTbfI4Ii9yShoxPTIKwDrsKMzlS+ncTNC1J00tBpUgZZQsVeJIOzHx9cl40/sBlyTc1mT/vrwC7Nu3D0VFRRZdX0NDCWuVuU8BfEH9HQygHsAgACeo7T8BuMOw0t4PIA7AGQBLWZaV1EUYhpkBoFOm/DAMA1dXV/j1vguVNZziQGrNEUtc9+LdnCInqj8n5rTnYEHP1huBUi9UKYjwpl2X4v1Kf6sZnyDORBMjVuQIdL/WLfpqRAL4/LtLKH9vCd7dsF5roN1OsqEzywUAcHV1RV2d9PKN7s9KJ0XQeDfoMb1fNyRO2cpvy69rxBDYf7kicf9owPzkDbouprl9WWmZpCQT6HZjlw7vBfIycKn3fUh87Q18kf9feHl5mTVnDQ01WKXMsSz7O/mdYZixADYCSAJwP4Cz1HENDMM0A3BjWfYqgAkqxn4PwHuGsTvdCt3FxQVXr16V3W9KibvZoPtIqunRaktIb0pAKKQ9jeuzCix5RAFMC5mIi063o2zXS5g4OgaTJ09u9znbO+0lGzS54CKrzBFmZlUI+rRuOlMPQFjDkS5wHe7iZLeKXHtijiJILPAABPFyAOBNFDdw8qMlIpa3gGb1CkP2j3/gp2UvYu1ba/Dggw/abP4aGjQmlTmGYRYCWCqxayvLstMYhvEC8B9wK+9pLMt+xjDMagC3UWM4Ga512TbTvvXhV+BdnAEAzy6dYMhkbTGZBEHj0iMAuEGWOUuqqgNQXP3aEnIdsSInfrHJzW9I8kT+2FWb0uHSrMeaNfbbqNzWaLKh4yHK3EWn28EwjNEzllPSiPIiHXLQKFDo0lbPQcK8dejr6MbVQCsAX8xWTaKRFKasY3LdFixB/EyqGUvKpWquAke37CKf13JwnxfJavUL4+SBf+IaQbZ7Tkkjyr51QO3eGQDjoNWW02hXTCpzLMumApDsHcUwjAuAwwCOAAgyrKwBoBhcbAzhHgClLMtes266nQdimbvNnVPmYoJ8kFNSYZYiB3BxdXed3tEeU1QN7dqQUozEShsRnu2FeA7iNl2mIPOrOZIHj9AoXK2rQ/rGNBQX/wxnZ+d2mbM9osmGjqdLly5wdHREQ0MDunbtKlBWiIygGRXoJHCrnm26wmdqA1y/VmuzQqVa+tmyyK81VkNaoTNXmSTW97KC7civa8Ty0QONXKhEESaKHGHDthYAOjRfLkZzyzX8cfk3rRyJRrtibWmSWAC/sSw7lRLWABcv8yjDMI8astdSAWyz8lqdCqXYGDlcegQYZbfOmmRcHqM9stbUCm8iCOn2N1LQjatvJHLXJzWlLh3ei9LyCgQGBqBPnz4dPDu7RpMN7YSrqyuuXauX3Dcq0An9g9vafY35tQAThkYK3KpAW2spYpU2B1OZoUodY24U5l6ffu5JRwdakSN4hkQYKXI5JY1wKExF9+LdaNaXYfKkMejWrZt1N6ChYQJrEyAGARhuiHmh8QMwBcAH4MoS7ALQPm0IblEaGxuN6pRtjPFFVuBipM1ZJnlO3eVT6B/cgnIshENhKlx6BODLSWPabY5qFTg12azmrr7VrrbljqPdJ+Rv8VzkFDk+JiYiFt4Nenx74v8wcOBAyWM7MZpsaAdYluVkg4N0DUOu9mFbIsSxF7YjbfUcxF99BF3e+DsAcKU0Rk3mMt311UDKdgxJVvcMKj3zcvtspchJWQDVYM31xQlQStmsxL1aXqSDAzh5PP3pQbjrLk02aLQ/1iZAzAYwW2b3WQCfWzN+Z6asrAx+fn64VHddsH3DthZZc6pLjwDOrRLZDZcOh/K1pcQQ96A1tJcbRe28rGnLQytwYheT1PXFMXy066bK2R3ff/+9psyJ0GRD+1BdXY0uXbrA7fbbFY9Lm7MMaQBaQ9PgsDIVwGHAkNleumou72aNc/cSxH4qcaP6o5py6doKOgmL9iAQ6BIpcsQE+QCTKvFBcQBKv9+Av/71r4iIaN/YXw0NQOvNapfU1dVBr9ejurYeDg5tqhtda04qm7Xu8ils2NaC3ocn88G6UrR3YoEaq9mNyp5TEsZSJU/I8cTFUuXsjipw9/btb3pseGctfvz+O+Tk5LTntDU0AHCLvAEDBigeQ7f8E3eE2VGYy3eCADjLkz0rch2JUs1KNeWQSCHxMb8WwHfBYxg+fDhqamowdOjQdpuzhgZBU+bskLKyMvj06i1Q5IC2Vd+GbeMAGAtqsi39pfW8S0VMnLuXTRQpJUXNFitnuSKhthhTab+S0K5ydufLPtR/+xXe3bAe8+bNwye7d8HFxcVm89TQkOP06dPw7HmH4jEbY3wxE/NRXqRD/2Bh9ntw9AJEOLrxMXPtvbCzBdYU+jUXcY1LQBjfKxU3R8u70lVzkXbuOo5UbMYbb7yBZ599ttO39dPoGKzuzaphe06fPo27+/aV3BcT5MMnNdDdIGgq1r+J056DcSp6l2D78tEDjVrP2CPtlfSgpjes0nneDXqMCnRCc1MTNr/3Lo4ePYqFCxdqipxGh3H69Gn06XO3yeM2xvgC4GSBOClKnAxhCmsUKVu5RDsygUIuMUuNvLgW8ADyfq7Azz//jLi4OE2RU8/VBrbV6kFYlkVLJ20co1nm7JDTp0+jz93yApu20ElZ5wgOhamCDhDmrsLN7dxgK9TEppjClGVP7rOgz2ttbUVJWTmOFh1HeVEhkPUVuvUZgD+aWnHvvfciMDDQqjlqaJjL6dOnEXjfn8w6p3vxbhzMXsE/z7MfeBgAV5akPbG1zOgoGURkg1K9y6amZnx/8iSOHf8O+iuccswwDE6d/w2TJk3SFnhmwrLs2e4OXVDW+Ae6WFHC5WprM5w6aQkYTZmzQ8rKytDn7jbLnJSbISbIBznBFXzmqhLrjx/lBbi1tGcAshi6nZfacgdKSiAd/yYFy7JoConBgQMHcOC1FBw6dAgeHh4YNmwYBoRFgWEYsCwLHwDz58+34I40NKyjrKwMf30iWtWx+5f2wcys+dgY44sJEs9/fHRvW0+P50aXIrEVRFY0tbSg9s8jcODAARx8dSGOHj0KPz8/DBs2DL0D7gHLctagXv5BiIuLu5FTvmnx0DnhUksjenaxvFZnVUsjvHTml9u5FdCUOTvk9OnTGDykLWhWrkH0qEAn5KARVcXSCRGEyBEJSLFBrFxHBkFLzTWruNJQesH4ZcEnXVDn0YqdKUvfL1WX8Pah/0PF2o8wcuRITJgwARs2bECvXr0svgcNDVtz+vRp3H23cQgG/TzQz+nGGF/oJJq/Lx89EO6LN8NDQemypiF9RyCXrGDtmASiyJ0o+wUrv/gGzs57ER4ejhdffBE7d+5Ejx49bHrtzs4vzdeCPBwciy1V5liWhb6lCb82X7/N9NG3HpoyZ4eUlpaiz93CArRSCh1d8Z3Ez9UGSbteLYmVE5fguFFcOrwXiIgFwCl00/t1EwhyubmJ3bVit0lLayuKz11A3g/F+OTbk1iwYAFeeukldOmiPRYa9oder8f169fh4elptE/uGcgqrgR6hSFtNfjeolv01fAMicAnhsWRLZWvjg7HsAXifstDkieisakZ3585j73f/oAjZy7gnXfewbhx47QuDu0Iy7Il3R26oJltRRfG/HD+q2wLujnocLW5+brpo289tLeWnVFXV4eqqirc5WNsEZIS2KMCnbAhaBy6F+9G3eVTkopcwrrFFs9HbsVvDua6ZsXxbpcO74UuLwPTDcpZ6S5h7Se5scVCOr+uEcO7OQKP9cK+fftw4MAB3HXXXYiIiMC3Gz+Ar6+vRfenodERlJSUIDAw0GyFYsO2FmzAMHT3uojaoHE4kdwdABBj4rk059m/2dyqtGwAuAWe8+BQVN/fA3OzvkJhYSEGDhyIxx+PRvrLLwkdigUAABBkSURBVGtWuA7CU+eESy1NFrlaqzuxixXQlDm749SpU/D391edBdUWOyefDDG9n21ayVgjsM1R6OTKg5SumouygovUHuOuDWKIsB6SPBG6nM+x/ncHuH38MaZOnYp///vfuOuuu8y4Cw2NG0dxcTGCgoL4v+UayRtZ74MrUF6kQ23QOPQPbuGt2mqfx1tVkfMIjeLlxqFvjmH+6tV45JFHMGvWLOzcuRPu7rd+bT1742zztcAeDo4l5ipznd3FCmjKnN1BVt9iiMCUEqwbY3yBGCByhPF4vrNvbKC+tdXb6fM592iblS0/+zyQvRXhLk7wCzPu5kDOuX1oJN77cBs2fvMLli9fjhkzZmjuEo2bjuLiYl42SD1HZJtYodsY4wvvSPp428WZ2ZsiJxdHR2rHERlBjqm/dg0p/1yPLw8fQXp6OkaNGtWh89UQwrLsKTcLXK2d3cUKaHXm7A7x6tscxIqb7+z5WPnDUpSummvVnGxVZ8rSvorkB+CUM7+wngC4ellnm64gv64RZQUX+eKedJHPxoAhGDP1eRw68QOOHTuG559/XlPkNG5KSkpKFGWDuJQQrdwBnELTXjUc7QWlskbixd5PxSUYMX4yWpy64scff9QUOTvBQ+eEmpYms87p7C5WQLPM2R0lJSWIirJs5bwxxhcji7gCoSeSuyNx2HiUuXBfcM8Q22d+qcWWHSFI/BsNZ5nrKdjmGRIB5wfCMHHq83hq3NN44403jDpqaGjcTBDLnJeF7lG61M/NgqWlkGiFjnanEsvduV8r8eycl7H2nX9h4sSJNpuvhvWcbb4W0MPB8dQdKl2tLMviMudi7drOU7NrNGXOziguLsbfxj5ttF2tdWz/Ui4LNjc8GmebrmCLnmvhZS1K/Vbbu/bcpcN7cSxlO7boqwWFTvtSbYloiGv12SlTMCQkFEuXLtWscRo3Nc3NzSgvL8e1VgZVXc2zlNPPp3/iGrOv3ZHttGwFcalKxd9eqb2KKS/ORdLCZE2Rs0NYli01x9V6lW2Bq4MOdc3NDR0wPbtFU+bsiNbWVpScOoW+vv34bWoFaVZxJQAu4FmXl4Et+mrBfrWrcSWljeyXynJrb4XOL6wn+mY38sobUVDz69ywRV+NuALuuCHJE9ESEYtlKa+B8e6FtLQ0TZHTuOk5c+YMPL280bWrecYHUpvx0uG9FilypujIIuJySLlVPUMijNpyeYRGobm5GTMTFyDi8Ui89NJLHTVFDTMhrlY11rnOXCiYRlPm7Iiamho4OTrB1dUVgOUr4pULtwr+FrsglTB1zY4W3CRwmXat9nV0w5Bkw4o6ZTsATrEbkjwRHqFR2FNQgAPHinD06FE4OWkPucbNz9mzZ+FjQQFrUmSbxJFaotCZkkHtqdCpGVcuTo6OkSOKXfoXh+Dc/Xa888472iLPjjnbfG1ADwfH06aUOZLFWtl83fK2EbcIWhCRHXHhwgV4eXtbNQYRfn0d3SzuvSjOnDW31lyVs7tN3DJ0+y1aIQ13aVPQ/MJ6wi+sZ5tyB+CHrwswdepUrTaUxi3DhQsX0NvjdkFigxTk2ZPqq7wo8yRyR01WfR7ZrgZbPfOWIuV5EG+rOZKHw8eK8PLLL2uFwe0clmXLmtlWNLOtisfVGlysLMs2dtDU7BZNmbMjLly4gLs83XmBbY5wjAny4d0pJMtTKp5MDbRglpqDVNYcma+4FIk10MLYMyQC4S5OvIJKLA2eIRGSWWoPPPCAVdfW0LAnLly4ANc7fPhnTI3FijyXlw7vRXr2eQAwCr9QwpLn1x5i6+iEB1qGeAwNx+naBgwePPhGTU3DDDxVZLVWNzdoLlYD2vLEjrhw4QLcet6lqkgnfQyJlwOAUyIXKyDfWF4t1ghoa10wYhcKscqVFVwUWOtoof3b7xdx5513WnxNDQ1748KFC/D0Elrt1VjMSaFtcxZ21ipkNyqOzlRc8LXGJjQ0NcPDw6ODZqRhDRXN1/x6ODiWyblaWZaFvrUZlS0Nnd7FCmiWObviwoUL8PISZp6K66wB8sI2p6TRSGgvHz2ww0oRSM3VFniERqHmSB7vUjXFXx+PxFdffWXTOWho3Eh+//13I9kghizqvBv00OVlCBZBce5e6Ovohh2Fue06T3uDDtXo5uyEQX8ejEOHDt3gWWmogWXZ8mawaJJxtda2NmsuVgrNMmdHXLhwAR6eQoGt1ECbBDeTxvOnUrciz5NzIaS0nANgWSkCU6h18ShluprKmhXjn7iGejnlKR7bp/8AHDt2TNW4Gho3AxcuXEDI8DCTx2UVV2J6v24CN6N/Ircvsj0nKMLc57u9EC9k7y8swTfffIPw8PAbNCMNc/B0cERNSxPulLDOaYWChWjKnB1x4cIFDBz0Z5PHZRVXIqekEQCn0JWumotFmScR5+6FL4cuhENhKvzCelqsyMnF65kjmE25WiwR8sTlKpWlRv71T1yDyxWl8Pf3N3t8DQ17hXOzGlvmxH1YLXmu7CHOrb0QK5W//FqJyNHjbuSUNMygovlaf3cHx3KxMqe5WI3R3Kx2wvXr1/Hll18h6J6Bqs/hFDqOvo5u8AvriZ2OryGl5ZzVFjlrV9QduSIvK7iIRZknsSjzJBKHjcd3hYfx5z+bVoo1NG4GysvL/7+9u4+R4q7jOP7+3gP2QA4LtmUNSDl5KNJI0laJD2CwFtsUSBtNpC0BuUKUxkZjKZxXTJQr2LuYM6YoYjGoFc40xnLNWShNxcaiKbE0BFoJZ8thKdd6PB5cD+7p5x87e+4dO7vLPezO7H5eySZ3OzO7v/3e3He/M7+Z34933jnBxIkfT7reuaryq5qua7jvQB1MDhiKdiV6jUMHDzJr1qxBv7ZkhnPuWHeCrtYLPV2MVhdrHyrmAmLbtm3MmDmTKdOmpb3NXdNHUPjSdtY9+yYrF0zovbPzE/Ou9x2CYLD6362a7Peh1v+LKjb+XPwdeisXTKDx1HklbMkZFZXr+NrixYwcNeqKZf2vU92/oS6tgi4TZ+MGmw8G28ZYXGLXDx7b80da29spKysb1OtKZkW7WvvWbBoo+ErqZg2Azs5OqqurWf/jmqTrfau+iaZN1QDsfnEzhS9t54nK3/aZrit+gN3YPIQDFd/d2n/S7vh1Ev08XOLnWBz3udtZ9+yTTCou7S1mm8ZMwvZWMnny5BSvJBJ8J0+e5IXdz7Pz+ReG7DUz3a06kLtbh3I+51jO2P2nncz78nzN0RwyTV3tkz9SUHRsfFF09hPnHOd7umjuvqxqLo6KuQCoq6ujrKyMWSnGP3r7tcLeU6l33rGKVU/+ALhyKJLYALpDcRfrQJOq3xfGYIcp6e/xez/ZOwdjR2cnm9atZ+33K5WwJSfU1tayYNE9VwynkahAmrqmlrf2+p+Rz+Vr4/zEcsa51la27HiGrVu3ZrlFcrWcc02lhcV0uh6KrYDWni5GFxTR1tWVfBC6PKNvvADYvHkzq1evTrle2a3dfbd7uIqKjcv4S1tH79m4qWtq+wyamQ3JvjSGcmYIoLeQe7/lFEu+u4bi4mJWrFgx6PcQybaenh62bNnCsvIHEy5P1I35mcfuY/+GupTr5YNYDnzzaCOLln+ThQsXMnfu3Cy3SgYivqtVd7EmpmIuAAoLC3vnY/VTf+Qkd00fQc9nK/s83337A1RsXMadu36fkQLOb9qf+GXD0d3a//1iM0BANFkv/MZK5s+fT319PSUlJUP+/iKZVlBQgJlRMnLkVW0XP7VdPhZx8fa8/Dfue+g7VFVVUVtbq/lYQ6qpq/3GU90dvV2sb3RcUDXXj7pZAyASidDc3MyUMSUJk29sKJK3Xyuk4B8bs9DCq5dqXLnBjEMVO/N45pU/09ndzSOPV7N+/XrKy8sH2WqRYIlEIpxq+S+lpenNsxx/QJfvhdypM2dYu6GahoYGZs+ene3myCA4546PKSzmdE+nulh96MxcAMSKuWQSFXKxs3TZ6lJNdDOEX3EWv2yg87f2Pys49gt38+Kl0YwfP57ly5dfbfNFAi9azLUAiQ98/P7fglTIZWvg4JpfP83SpUtVyOWIcQXFvNXRpi5WHzozFwCRSITGgwdg3uevWHbd5XPRmR7uP8nvjkyj7exRAEZdO42l9xdmuqm+AwoPxkC7Zv/z7rvU1NSwf/9+dZ9ITopEIrS0tPS5m9zvrHaQCrh42Zir9dB7Z9i3bx+HDx/O6PvK8DnW1T7pGis4/kbHheJstyWIzDmX7TakZGbBb6RIsBx3zt2Y7UYMJ+UFkQHJ+dyQj0JRzGWCmf3TOXdbttsRdIpTaopRbtHfMz2KU2qKkQwXXTMnIiIiEmIq5kRERERCTMXc//0q2w0ICcUpNcUot+jvmR7FKTXFSIaFrpkTERERCTGdmRMREREJMRVzIiIiIiGW08WcmS0zsyYzu2hmL5vZdO/5R83shPf8X83sprhtvmJmjWbWZmbPmNlo7/kCM9thZqfN7JFsfabhYGbfNrNmM2s1swYzi3jPJ4xFsmW5GqckMUq4j3nL8ipGYaLckB7lhtSUGyQIcraYM7OpwM+BVcB1wG7gD2Y2G/geMAcYB7wK/MLb5lqgDngUmAAYUOW95B3Av4CJwDwz+3DGPswwMrObgR8B9wAfAy4ANclikW9xShKjhPuYt01exShMlBvSo9yQmnKDBEXOFnPAl4C9zrldzrl24CfALMB5j9hUZoXAGe/nRcAB59xO59xZ4AlgsbfMvHWLvJ9z5c6RuUCDc+5V59xFYDswk+SxyLc4+cUo4T5mZmPJvxiFiXJDepQbUlNukEDI5WJuJ/Bw3O+3Ah8AB4DngKPAJeAhoNJb51PA63HbHAZu8I6O9gAzgGPAHudc27C2PnOeAlYCmNk44AHg7ySPRb7FyS9GfvtYK/kXozBRbkiPckNqyg0SCEWpVwkn59z7sZ/N7KvAL4EK4IvAvcAtQCNQQ/Ro6tNAKXA87jUum1kXUOoddX09Yx8gQ5xznQBmtpLoGEiXiJ7qX4ZPLMizOPnFyG8fc851mVlexShMlBvSo9yQmnKDBEUun5nDzD5qZvXAz4AHnXObiF7b8LRz7nXvH6cCuM07/X0OKInbfgTRgvds5lufWc65p4CRwFqiR5UX8Y9FXsapf4zMrNhnH4M8jVFYKDekT7khNeUGybacLebMbBTwCnAauMk595y36IN+q3YB3UA7cAS4OW7ZDKDRu+YhJ5nZY2a2BMD7nJuBscAJ/GORV3FKEqPrSbyPQZ7FKEyUG9Kj3JCacoMERc4Wc0SvXWh2zpV7R9kxDcASM7vFzEqAHwK7vX+kncAcM5vj3XG0EdiR6YZnWAtQYWZlZnYNsBo4BPwG/1jkW5z8YnQ3ifcxyL8YhYlyQ3qUG1JTbpBgcM7l5APYBPQQPbqOf0wClgP/Bs4TveD5hrjtFhK9+PQisA34ULY/yzDHqQj4KfCeF49dwJRUscinOPnFKNk+lm8xCtNDuSHtOCk3DDBGyg16ZPqhuVlFREREQiyXu1lFREREcp6KOREREZEQUzEnIiIiEmIq5kRERERCTMWciIiISIipmBMREREJMRVzIiIiIiGmYk5EREQkxFTMiYiIiITY/wBdsJ91Oq12QgAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,9))\n", + "lon_offset=25.\n", + "\n", + "field_list = [ysu_rain_diffs_hourly,\\\n", + " acm2_rain_diffs_hourly,\\\n", + " uw_rain_diffs_hourly,\\\n", + " temf_rain_diffs_hourly,\\\n", + " mynn30_rain_diffs_hourly,\\\n", + " myj_rain_diffs_hourly]\n", + "\n", + "levels = numpy.arange(-0.25,0.251,0.05)\n", + "\n", + "PBL_names = ['(a) YSU ($\\div\\,5$)','(b) ACM2','(c) UW','(d) TEMF','(e) MYNN3','(f) MYJ']\n", + "ax_list = []\n", + "\n", + "for i in range(6):\n", + " \n", + " ax = fig.add_subplot(3,2,i+1, projection=cartopy.crs.PlateCarree())\n", + " \n", + " ax.gridlines(ylocs=[0], color='0.25')\n", + " ax.coastlines(resolution='110m')\n", + " \n", + " field = field_list[i]\n", + " field_mean = numpy.nanmean(field[24:,:,:], axis=0)*24.\n", + " if i==0:\n", + " field_mean = field_mean/5.\n", + " field_mean[landmask==0]=numpy.nan\n", + " \n", + " ax.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + " \n", + " contour_plot = ax.contourf(xlong, xlat, field_mean, \\\n", + " levels=levels, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', \\\n", + " transform=cartopy.crs.PlateCarree())\n", + "\n", + " ax.set_xticks([-360+280,-360+300,-360+320])\n", + " ax.set_yticks([-20,-10,0,10])\n", + " ax.tick_params(labelsize=fontsize)\n", + " ax.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + " ax.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + " \n", + " ax.text(s=PBL_names[i], x=0, y=1.02, \n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + " ax_list.append(ax)\n", + "\n", + "fig.tight_layout(h_pad=3, w_pad=-5)\n", + "\n", + "axpos_top = ax_list[1].get_position()\n", + "axpos_bot = ax_list[-1].get_position()\n", + "\n", + "cbar_ax = fig.add_axes([axpos_bot.x1-.025, axpos_bot.y0, 0.03, axpos_top.y1-axpos_bot.y0])\n", + "cbar = fig.colorbar(contour_plot, cbar_ax, orientation='vertical')\n", + "cbar_ax.tick_params(labelsize=fontsize)\n", + "cbar.set_label('mm day$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "fig.savefig('figures/precip_change_PBL_scheme_comparison.png', dpi=300, bbox_inches='tight', transparent=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/gp1_figure7_moisture_precip_hovmoller_geopot_coords.ipynb b/gp1_figure7_moisture_precip_hovmoller_geopot_coords.ipynb index 156bcff..9e92191 100644 --- a/gp1_figure7_moisture_precip_hovmoller_geopot_coords.ipynb +++ b/gp1_figure7_moisture_precip_hovmoller_geopot_coords.ipynb @@ -2,11 +2,11 @@ "cells": [ { "cell_type": "code", - "execution_count": 76, + "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T06:11:40.376632Z", - "start_time": "2018-05-10T06:11:40.314646Z" + "end_time": "2018-08-16T00:25:14.617158Z", + "start_time": "2018-08-16T00:25:12.048605Z" } }, "outputs": [], @@ -41,11 +41,11 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T01:49:52.095949Z", - "start_time": "2018-05-10T01:49:52.088178Z" + "end_time": "2018-08-16T00:25:14.631775Z", + "start_time": "2018-08-16T00:25:14.625990Z" } }, "outputs": [], @@ -56,11 +56,11 @@ }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T06:19:39.774496Z", - "start_time": "2018-05-10T06:19:39.479579Z" + "end_time": "2018-08-16T00:25:15.092987Z", + "start_time": "2018-08-16T00:25:14.639728Z" } }, "outputs": [], @@ -78,11 +78,11 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T01:49:53.447760Z", - "start_time": "2018-05-10T01:49:53.193798Z" + "end_time": "2018-08-16T00:25:16.429280Z", + "start_time": "2018-08-16T00:25:15.101405Z" } }, "outputs": [], @@ -94,11 +94,11 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T01:50:07.056535Z", - "start_time": "2018-05-10T01:49:58.154024Z" + "end_time": "2018-08-16T00:25:24.138557Z", + "start_time": "2018-08-16T00:25:16.437827Z" } }, "outputs": [], @@ -108,11 +108,11 @@ }, { "cell_type": "code", - "execution_count": 106, + "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T06:29:01.716727Z", - "start_time": "2018-05-10T06:28:59.459916Z" + "end_time": "2018-08-16T00:28:10.181571Z", + "start_time": "2018-08-16T00:25:24.147139Z" } }, "outputs": [], @@ -128,11 +128,11 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T01:50:51.819523Z", - "start_time": "2018-05-10T01:50:51.811480Z" + "end_time": "2018-08-16T00:28:10.197787Z", + "start_time": "2018-08-16T00:28:10.189899Z" } }, "outputs": [], @@ -144,11 +144,11 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T01:50:54.024122Z", - "start_time": "2018-05-10T01:50:52.186244Z" + "end_time": "2018-08-16T00:28:48.589042Z", + "start_time": "2018-08-16T00:28:10.207138Z" } }, "outputs": [], @@ -169,11 +169,11 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T01:51:43.858285Z", - "start_time": "2018-05-10T01:51:43.732471Z" + "end_time": "2018-08-16T00:28:49.759686Z", + "start_time": "2018-08-16T00:28:48.597384Z" } }, "outputs": [], @@ -185,11 +185,11 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T01:51:48.521933Z", - "start_time": "2018-05-10T01:51:44.309825Z" + "end_time": "2018-08-16T00:28:58.063693Z", + "start_time": "2018-08-16T00:28:49.768132Z" } }, "outputs": [], @@ -199,11 +199,11 @@ }, { "cell_type": "code", - "execution_count": 107, + "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T06:29:11.942157Z", - "start_time": "2018-05-10T06:29:09.692999Z" + "end_time": "2018-08-16T00:31:42.187274Z", + "start_time": "2018-08-16T00:28:58.072282Z" } }, "outputs": [], @@ -219,11 +219,11 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T02:15:29.720845Z", - "start_time": "2018-05-10T02:15:29.710421Z" + "end_time": "2018-08-16T00:31:42.195576Z", + "start_time": "2018-08-16T00:31:42.189625Z" } }, "outputs": [], @@ -242,11 +242,11 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T02:15:36.482881Z", - "start_time": "2018-05-10T02:15:31.934150Z" + "end_time": "2018-08-16T00:31:42.325157Z", + "start_time": "2018-08-16T00:31:42.209484Z" } }, "outputs": [], @@ -256,11 +256,11 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T02:15:43.564553Z", - "start_time": "2018-05-10T02:15:37.295556Z" + "end_time": "2018-08-16T00:31:42.433225Z", + "start_time": "2018-08-16T00:31:42.330316Z" } }, "outputs": [], @@ -280,11 +280,11 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T02:16:00.718956Z", - "start_time": "2018-05-10T02:15:44.390308Z" + "end_time": "2018-08-16T00:32:35.160012Z", + "start_time": "2018-08-16T00:31:42.435955Z" } }, "outputs": [], @@ -305,11 +305,11 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T02:16:01.540295Z", - "start_time": "2018-05-10T02:16:01.528785Z" + "end_time": "2018-08-16T00:32:35.191613Z", + "start_time": "2018-08-16T00:32:35.162382Z" } }, "outputs": [], @@ -320,11 +320,11 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T02:16:47.240724Z", - "start_time": "2018-05-10T02:16:02.358028Z" + "end_time": "2018-08-16T00:36:36.719190Z", + "start_time": "2018-08-16T00:32:35.194028Z" } }, "outputs": [], @@ -342,11 +342,11 @@ }, { "cell_type": "code", - "execution_count": 110, + "execution_count": 19, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T06:30:42.278459Z", - "start_time": "2018-05-10T06:30:40.658986Z" + "end_time": "2018-08-16T00:36:38.181031Z", + "start_time": "2018-08-16T00:36:36.727655Z" } }, "outputs": [], @@ -365,11 +365,11 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 20, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T02:16:53.288602Z", - "start_time": "2018-05-10T02:16:48.053901Z" + "end_time": "2018-08-16T00:36:42.870085Z", + "start_time": "2018-08-16T00:36:38.189400Z" } }, "outputs": [], @@ -385,11 +385,11 @@ }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 21, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T06:17:41.479631Z", - "start_time": "2018-05-10T06:17:41.469925Z" + "end_time": "2018-08-16T00:36:42.890538Z", + "start_time": "2018-08-16T00:36:42.878645Z" } }, "outputs": [ @@ -399,7 +399,7 @@ "(241, 45, 289)" ] }, - "execution_count": 85, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -410,11 +410,11 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 22, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T06:18:22.502130Z", - "start_time": "2018-05-10T06:18:20.117509Z" + "end_time": "2018-08-16T00:37:42.034533Z", + "start_time": "2018-08-16T00:36:42.898680Z" } }, "outputs": [ @@ -422,7 +422,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", " This is separate from the ipykernel package so we can avoid doing imports until\n" ] } @@ -442,11 +442,11 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 23, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T02:16:54.462211Z", - "start_time": "2018-05-10T02:16:54.095792Z" + "end_time": "2018-08-16T00:37:42.356542Z", + "start_time": "2018-08-16T00:37:42.042706Z" } }, "outputs": [], @@ -456,11 +456,11 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 24, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T02:16:55.279398Z", - "start_time": "2018-05-10T02:16:55.269892Z" + "end_time": "2018-08-16T00:37:42.374549Z", + "start_time": "2018-08-16T00:37:42.364884Z" } }, "outputs": [ @@ -470,7 +470,7 @@ "(241, 29, 45, 289)" ] }, - "execution_count": 55, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -481,11 +481,11 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T02:16:57.350037Z", - "start_time": "2018-05-10T02:16:56.099220Z" + "end_time": "2018-08-16T00:37:43.612923Z", + "start_time": "2018-08-16T00:37:42.382707Z" } }, "outputs": [], @@ -495,11 +495,11 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 26, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T02:16:58.191318Z", - "start_time": "2018-05-10T02:16:58.166251Z" + "end_time": "2018-08-16T00:37:43.643666Z", + "start_time": "2018-08-16T00:37:43.621265Z" } }, "outputs": [], @@ -593,11 +593,11 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 27, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T02:17:00.403721Z", - "start_time": "2018-05-10T02:16:59.004691Z" + "end_time": "2018-08-16T00:37:44.990826Z", + "start_time": "2018-08-16T00:37:43.652237Z" } }, "outputs": [], @@ -607,11 +607,11 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 28, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T02:17:01.127790Z", - "start_time": "2018-05-10T02:17:00.412066Z" + "end_time": "2018-08-16T00:37:45.635988Z", + "start_time": "2018-08-16T00:37:44.999378Z" } }, "outputs": [], @@ -622,11 +622,11 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 29, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T02:17:03.555766Z", - "start_time": "2018-05-10T02:17:01.136138Z" + "end_time": "2018-08-16T00:37:47.882927Z", + "start_time": "2018-08-16T00:37:45.644524Z" } }, "outputs": [], @@ -644,11 +644,11 @@ }, { "cell_type": "code", - "execution_count": 213, + "execution_count": 30, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T22:55:45.429288Z", - "start_time": "2018-05-10T22:55:44.003366Z" + "end_time": "2018-08-16T00:37:48.898040Z", + "start_time": "2018-08-16T00:37:47.891330Z" } }, "outputs": [], @@ -658,11 +658,11 @@ }, { "cell_type": "code", - "execution_count": 214, + "execution_count": 31, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T22:55:50.739846Z", - "start_time": "2018-05-10T22:55:49.983276Z" + "end_time": "2018-08-16T00:37:49.545922Z", + "start_time": "2018-08-16T00:37:48.906745Z" } }, "outputs": [], @@ -673,11 +673,11 @@ }, { "cell_type": "code", - "execution_count": 215, + "execution_count": 32, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T22:55:57.785379Z", - "start_time": "2018-05-10T22:55:55.293303Z" + "end_time": "2018-08-16T00:37:51.814449Z", + "start_time": "2018-08-16T00:37:49.554465Z" } }, "outputs": [], @@ -826,11 +826,11 @@ }, { "cell_type": "code", - "execution_count": 135, + "execution_count": 33, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T06:45:20.283154Z", - "start_time": "2018-05-10T06:45:20.232532Z" + "end_time": "2018-08-16T00:37:51.865517Z", + "start_time": "2018-08-16T00:37:51.822852Z" } }, "outputs": [], @@ -863,11 +863,11 @@ }, { "cell_type": "code", - "execution_count": 217, + "execution_count": 34, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T23:00:42.150407Z", - "start_time": "2018-05-10T23:00:42.113618Z" + "end_time": "2018-08-16T00:37:51.989383Z", + "start_time": "2018-08-16T00:37:51.874173Z" } }, "outputs": [], @@ -879,27 +879,27 @@ }, { "cell_type": "code", - "execution_count": 231, + "execution_count": 35, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T23:06:03.630440Z", - "start_time": "2018-05-10T23:06:03.281076Z" + "end_time": "2018-08-16T00:37:52.464078Z", + "start_time": "2018-08-16T00:37:51.997936Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 231, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -923,11 +923,11 @@ }, { "cell_type": "code", - "execution_count": 158, + "execution_count": 36, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T07:13:04.727586Z", - "start_time": "2018-05-10T07:13:04.719123Z" + "end_time": "2018-08-16T00:37:52.478475Z", + "start_time": "2018-08-16T00:37:52.472425Z" } }, "outputs": [], @@ -939,11 +939,11 @@ }, { "cell_type": "code", - "execution_count": 159, + "execution_count": 37, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T07:13:06.237603Z", - "start_time": "2018-05-10T07:13:06.187111Z" + "end_time": "2018-08-16T00:37:52.651435Z", + "start_time": "2018-08-16T00:37:52.486642Z" } }, "outputs": [], @@ -955,11 +955,11 @@ }, { "cell_type": "code", - "execution_count": 160, + "execution_count": 38, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T07:13:07.213067Z", - "start_time": "2018-05-10T07:13:07.206992Z" + "end_time": "2018-08-16T00:37:52.748819Z", + "start_time": "2018-08-16T00:37:52.660157Z" } }, "outputs": [], @@ -976,11 +976,11 @@ }, { "cell_type": "code", - "execution_count": 112, + "execution_count": 39, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T06:31:52.510221Z", - "start_time": "2018-05-10T06:31:52.503915Z" + "end_time": "2018-08-16T00:37:52.868890Z", + "start_time": "2018-08-16T00:37:52.757232Z" } }, "outputs": [], @@ -999,11 +999,11 @@ }, { "cell_type": "code", - "execution_count": 113, + "execution_count": 40, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T06:31:53.495606Z", - "start_time": "2018-05-10T06:31:53.486986Z" + "end_time": "2018-08-16T00:37:53.026946Z", + "start_time": "2018-08-16T00:37:52.877403Z" } }, "outputs": [], @@ -1025,42 +1025,80 @@ }, { "cell_type": "code", - "execution_count": 172, + "execution_count": 51, "metadata": { "ExecuteTime": { - "end_time": "2018-05-10T22:22:38.864599Z", - "start_time": "2018-05-10T22:22:30.125906Z" + "end_time": "2018-08-16T01:28:22.814649Z", + "start_time": "2018-08-16T01:28:22.804913Z" } }, "outputs": [ { "data": { - "image/png": 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\n", "text/plain": [ - "
" + "datetime.timedelta(0, 14400)" ] }, + "execution_count": 51, "metadata": {}, - "output_type": "display_data" + "output_type": "execute_result" + } + ], + "source": [ + "datetime.timedelta(hours=4)" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T01:31:38.089980Z", + "start_time": "2018-08-16T01:31:38.080092Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "11" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" } ], + "source": [ + "time_datetimes[-1].day" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-18T01:03:04.923Z" + } + }, + "outputs": [], "source": [ "fontsize=12\n", - "fig = mp.figure(figsize=(6.5,5))\n", + "fig = mp.figure(figsize=(8.5,6))\n", "\n", "#ax1=fig.add_subplot(131)\n", "\n", "levels=numpy.arange(-0.3,0.310,0.05)\n", - "levels_precip = numpy.arange(-3,3.1,0.5)\n", + "levels_precip = numpy.arange(-0.125,0.1251,0.0125)\n", "\n", "ax2=fig.add_subplot(121)\n", - "contour_plot = ax2.contourf(xlong[0,:]+360.,time_datetimes,\\\n", + "contour_plot = ax2.contourf(xlong[0,:]+360.,time_datetimes-datetime.timedelta(hours=4),\\\n", " #qvapor_diffs_lat_mean_1_3km*1000.,\\\n", " qvapor_diffs_lat_mean_850_700hPa*1000.,\\\n", " cmap='PuOr',\\\n", " levels=levels,\\\n", " extend='both')\n", - "contour_line = ax2.contour(xlong[0,:]+360.,time_datetimes,\\\n", + "contour_line = ax2.contour(xlong[0,:]+360.,time_datetimes-datetime.timedelta(hours=4),\\\n", " #qvapor_diffs_lat_mean_1_3km*1000.,\\\n", " qvapor_diffs_lat_mean_850_700hPa*1000.,\\\n", " levels=[-0.1,0.1],\\\n", @@ -1068,19 +1106,19 @@ " linestyles=['--'],\\\n", " linewidths=[0.5])\n", "\n", - "ax2.text(s='(a) $\\Delta$ moisture (900–700 hPa)', x=0, y=1.02,\\\n", + "ax2.text(s='(a) $\\Delta$ moisture (900–700 hPa layer)', x=0, y=1.02,\\\n", " fontsize=fontsize, transform=ax2.transAxes)\n", "ax2.set_xticks([280,300,320])\n", "ax2.set_xticklabels(xticks_format)\n", "ax2.set_xlim(275.,325.)\n", - "ax2.set_ylim(datetime.datetime(1979,1,1),datetime.datetime(1979,1,11))\n", - "ax2.set_yticks(time_datetimes[[t.hour==0 for t in time_datetimes]])\n", + "ax2.set_ylim(datetime.datetime(1979,1,1,4,0,0),datetime.datetime(1979,1,10))\n", + "ax2.set_yticks(time_datetimes[[t.hour==0 and t.day<11 for t in time_datetimes]])\n", "ax2.yaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d'))\n", "ax2.tick_params(labelsize=fontsize)\n", "\n", "ax3 = fig.add_subplot(122)\n", - "contour_rain = ax3.contourf(xlong[0,:]+360.,time_datetimes,\\\n", - " raintot_hourly_diffs_lat_mean*24.,\\\n", + "contour_rain = ax3.contourf(xlong[0,:]+360.,time_datetimes-datetime.timedelta(hours=4),\\\n", + " raintot_hourly_diffs_lat_mean,\\\n", " levels=levels_precip,\\\n", " cmap='BrBG', extend='both')\n", "ax3.text(s='(b) $\\Delta$ hourly precipitation', x=0, y=1.02,\\\n", @@ -1088,8 +1126,9 @@ "ax3.set_xticks([280,300,320])\n", "ax3.set_xticklabels(xticks_format)\n", "ax3.set_xlim(275.,325.)\n", - "ax3.set_ylim(datetime.datetime(1979,1,1),datetime.datetime(1979,1,11))\n", - "ax3.set_yticks(time_datetimes[[t.hour==0 for t in time_datetimes]])\n", + "ax3.set_ylim(datetime.datetime(1979,1,1,4,0,0),datetime.datetime(1979,1,10))\n", + "ax3.set_yticks(time_datetimes[[t.hour==0 and t.day<11 for t in time_datetimes]])\n", + "ax3.set_yticklabels([])\n", "ax3.yaxis.set_major_formatter(matplotlib.dates.DateFormatter('%d'))\n", "ax3.tick_params(labelsize=fontsize)\n", "\n", @@ -1099,19 +1138,20 @@ "ax2_pos = ax2.get_position()\n", "ax3_pos = ax3.get_position()\n", "\n", - "cbar1_ax = fig.add_axes([ax2_pos.x0,ax2_pos.y0-0.12,ax2_pos.width,0.03])\n", + "cbar1_ax = fig.add_axes([ax2_pos.x0,ax2_pos.y0-0.1,ax2_pos.width,0.03])\n", "cbar1 = mp.colorbar(contour_plot, cax=cbar1_ax, orientation='horizontal')\n", "cbar1_ax.tick_params(labelsize=fontsize)\n", "cbar1.set_ticks([-0.3,-0.15,0,0.15,0.3])\n", "#cbar1_ax.axvline(cbar1_ax.get_xticks()[2],lw=0.5,c='0.1',ls='--')\n", "#cbar1_ax.axvline(cbar1_ax.get_xticks()[4],lw=0.5,c='0.1',ls='--')\n", "cbar1.set_label('g kg$^{\\,-1}$', fontsize=fontsize)\n", + "cbar1.add_lines(contour_line, ls=':')\n", "\n", - "cbar2_ax = fig.add_axes([ax3_pos.x0,ax3_pos.y0-0.12,ax3_pos.width,0.03])\n", + "cbar2_ax = fig.add_axes([ax3_pos.x0,ax3_pos.y0-0.1,ax3_pos.width,0.03])\n", "cbar2 = mp.colorbar(contour_rain, cax=cbar2_ax, orientation='horizontal')\n", "cbar2_ax.tick_params(labelsize=fontsize)\n", - "cbar2.set_ticks([-3,-2,-1,0,1,2,3])\n", - "cbar2.set_label('mm day$^{\\,-1}$', fontsize=fontsize)\n", + "cbar2.set_ticks([-0.1,0,0.1])\n", + "cbar2.set_label('mm hour$^{\\,-1}$', fontsize=fontsize)\n", "\n", "ax2_orog = fig.add_axes([ax2_pos.x0,ax2_pos.y0,ax2_pos.width,ax2_pos.height*0.2])\n", "ax2_orog.axis('off')\n", @@ -1172,7 +1212,7 @@ " fontsize=fontsize,\\\n", " rotation=slope_rotation2+4)\n", "\n", - "fig.savefig('manuscript_fig7_qvapor_hovmoller_with_rain_diffs.png',dpi=600,bbox_inches='tight',transparent=True)\n" + "fig.savefig('figures/manuscript_fig7_qvapor_hovmoller_with_rain_diffs.png',dpi=600,bbox_inches='tight',transparent=True)\n" ] }, { @@ -1360,6 +1400,32 @@ "fig.savefig('manuscript_fig7alt_qvapor_hovmoller_with_rain_AND_WA_diffs.png',dpi=600,bbox_inches='tight',transparent=True)" ] }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:22:08.522063Z", + "start_time": "2018-08-16T05:22:08.349522Z" + } + }, + "outputs": [ + { + "ename": "TypeError", + "evalue": "add_lines() missing 1 required positional argument: 'CS'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mcbar1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd_lines\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m: add_lines() missing 1 required positional argument: 'CS'" + ] + } + ], + "source": [ + "cbar1.add_lines()" + ] + }, { "cell_type": "code", "execution_count": null, diff --git a/gp1_wrf_2km_MANUSCRIPT_energy_fluxes_cape_skewt.ipynb b/gp1_wrf_2km_MANUSCRIPT_energy_fluxes_cape_skewt.ipynb index df940a3..45ecbfc 100644 --- a/gp1_wrf_2km_MANUSCRIPT_energy_fluxes_cape_skewt.ipynb +++ b/gp1_wrf_2km_MANUSCRIPT_energy_fluxes_cape_skewt.ipynb @@ -791,7 +791,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.6.5" }, "varInspector": { "cols": { diff --git a/gp1_wrf_MANUSCRIPT_energy_fluxes_cape_skewt_AMAZON_REGION.ipynb b/gp1_wrf_MANUSCRIPT_energy_fluxes_cape_skewt_AMAZON_REGION.ipynb index 55fc09e..a362723 100644 --- a/gp1_wrf_MANUSCRIPT_energy_fluxes_cape_skewt_AMAZON_REGION.ipynb +++ b/gp1_wrf_MANUSCRIPT_energy_fluxes_cape_skewt_AMAZON_REGION.ipynb @@ -9,11 +9,11 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2018-06-29T23:42:47.271953Z", - "start_time": "2018-06-29T23:42:43.880994Z" + "end_time": "2018-08-16T14:22:27.703401Z", + "start_time": "2018-08-16T14:22:27.685632Z" } }, "outputs": [], @@ -55,11 +55,11 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2018-06-29T23:43:00.967867Z", - "start_time": "2018-06-29T23:43:00.958378Z" + "end_time": "2018-08-16T14:22:27.793160Z", + "start_time": "2018-08-16T14:22:27.707845Z" } }, "outputs": [], @@ -76,11 +76,11 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T05:54:53.039819Z", - "start_time": "2018-07-01T05:54:53.035730Z" + "end_time": "2018-08-16T14:22:27.892725Z", + "start_time": "2018-08-16T14:22:27.795552Z" } }, "outputs": [], @@ -105,11 +105,11 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2018-06-29T23:43:02.923012Z", - "start_time": "2018-06-29T23:43:02.627732Z" + "end_time": "2018-08-16T14:22:29.266692Z", + "start_time": "2018-08-16T14:22:27.894847Z" } }, "outputs": [], @@ -140,11 +140,11 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2018-06-29T23:43:12.911049Z", - "start_time": "2018-06-29T23:43:03.566152Z" + "end_time": "2018-08-16T14:22:37.275147Z", + "start_time": "2018-08-16T14:22:29.274769Z" } }, "outputs": [], @@ -154,11 +154,11 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2018-06-29T23:47:44.776196Z", - "start_time": "2018-06-29T23:43:12.919618Z" + "end_time": "2018-08-16T14:25:08.938071Z", + "start_time": "2018-08-16T14:22:37.283578Z" } }, "outputs": [], @@ -248,11 +248,11 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T05:54:34.168830Z", - "start_time": "2018-07-01T05:54:34.152161Z" + "end_time": "2018-08-16T14:25:09.015330Z", + "start_time": "2018-08-16T14:25:08.945990Z" } }, "outputs": [], @@ -262,11 +262,11 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2018-06-29T23:48:04.451249Z", - "start_time": "2018-06-29T23:48:02.919472Z" + "end_time": "2018-08-16T14:25:42.163145Z", + "start_time": "2018-08-16T14:25:09.023349Z" } }, "outputs": [], @@ -280,11 +280,11 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2018-06-29T23:48:05.591448Z", - "start_time": "2018-06-29T23:48:05.584363Z" + "end_time": "2018-08-16T14:25:42.178450Z", + "start_time": "2018-08-16T14:25:42.171109Z" } }, "outputs": [], @@ -297,11 +297,11 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T05:55:30.185146Z", - "start_time": "2018-07-01T05:55:30.175684Z" + "end_time": "2018-08-16T14:25:42.273319Z", + "start_time": "2018-08-16T14:25:42.186038Z" } }, "outputs": [], @@ -314,21 +314,21 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T05:55:35.824667Z", - "start_time": "2018-07-01T05:55:35.512713Z" + "end_time": "2018-08-16T14:25:42.693613Z", + "start_time": "2018-08-16T14:25:42.281848Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 37, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, @@ -356,11 +356,11 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T05:55:49.044483Z", - "start_time": "2018-07-01T05:55:48.914452Z" + "end_time": "2018-08-16T14:25:43.806436Z", + "start_time": "2018-08-16T14:25:42.701581Z" } }, "outputs": [], @@ -391,11 +391,11 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T05:57:09.013494Z", - "start_time": "2018-07-01T05:57:04.784340Z" + "end_time": "2018-08-16T14:25:51.364634Z", + "start_time": "2018-08-16T14:25:43.814768Z" } }, "outputs": [], @@ -405,11 +405,11 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T05:59:22.334295Z", - "start_time": "2018-07-01T05:57:10.555265Z" + "end_time": "2018-08-16T14:27:07.952186Z", + "start_time": "2018-08-16T14:25:51.373201Z" } }, "outputs": [], @@ -422,11 +422,11 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T05:59:46.568470Z", - "start_time": "2018-07-01T05:59:24.243254Z" + "end_time": "2018-08-16T14:27:46.798471Z", + "start_time": "2018-08-16T14:27:07.960234Z" } }, "outputs": [], @@ -576,11 +576,11 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T05:59:52.602978Z", - "start_time": "2018-07-01T05:59:52.587661Z" + "end_time": "2018-08-16T14:27:46.868893Z", + "start_time": "2018-08-16T14:27:46.806690Z" } }, "outputs": [], @@ -613,11 +613,11 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 19, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T05:59:54.646483Z", - "start_time": "2018-07-01T05:59:54.606321Z" + "end_time": "2018-08-16T14:27:47.116807Z", + "start_time": "2018-08-16T14:27:46.879144Z" } }, "outputs": [], @@ -631,11 +631,11 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 20, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:00:47.363573Z", - "start_time": "2018-07-01T06:00:47.337437Z" + "end_time": "2018-08-16T14:27:47.267947Z", + "start_time": "2018-08-16T14:27:47.125091Z" } }, "outputs": [], @@ -669,11 +669,11 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 21, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:01:03.456236Z", - "start_time": "2018-07-01T06:01:03.415043Z" + "end_time": "2018-08-16T14:27:47.483040Z", + "start_time": "2018-08-16T14:27:47.276051Z" } }, "outputs": [], @@ -687,11 +687,11 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 22, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:01:10.038630Z", - "start_time": "2018-07-01T06:01:10.015002Z" + "end_time": "2018-08-16T14:27:47.635251Z", + "start_time": "2018-08-16T14:27:47.491406Z" } }, "outputs": [], @@ -791,11 +791,11 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 23, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:05:30.375890Z", - "start_time": "2018-07-01T06:05:30.350092Z" + "end_time": "2018-08-16T14:27:48.090284Z", + "start_time": "2018-08-16T14:27:47.643261Z" } }, "outputs": [ @@ -806,7 +806,7 @@ " )" ] }, - "execution_count": 44, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -826,11 +826,11 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 24, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:05:42.649434Z", - "start_time": "2018-07-01T06:05:41.979556Z" + "end_time": "2018-08-16T14:27:48.865074Z", + "start_time": "2018-08-16T14:27:48.098231Z" } }, "outputs": [ @@ -927,11 +927,11 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:05:48.109921Z", - "start_time": "2018-07-01T06:05:48.101292Z" + "end_time": "2018-08-16T14:27:48.880765Z", + "start_time": "2018-08-16T14:27:48.873049Z" } }, "outputs": [], @@ -945,75 +945,25 @@ }, { "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'ptot_latlon_mean' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mptot_latlon_mean\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;31mNameError\u001b[0m: name 'ptot_latlon_mean' is not defined" - ] - } - ], - "source": [ - "ptot_latlon_mean.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(29,)" - ] - }, - "execution_count": 55, - "metadata": {}, - "output_type": "execute_result" + "execution_count": 34, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T14:52:11.309407Z", + "start_time": "2018-08-16T14:52:06.130110Z" } - ], - "source": [ - "tk_400_latlon_alltime.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "metadata": {}, + }, "outputs": [ { "data": { + "image/png": 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\n", "text/plain": [ - "(241, 29)" + "
" ] }, - "execution_count": 57, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], - "source": [ - "tk_400_latlon_mean.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T06:09:30.105315Z", - "start_time": "2018-06-29T06:09:25.552079Z" - } - }, - "outputs": [], "source": [ "fontsize=12\n", "hour = 19\n", @@ -1066,7 +1016,7 @@ "\n", "handles, labels = skewt_plot.ax.get_legend_handles_labels()\n", "skewt_plot.ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " bbox_to_anchor=(1.03,1.0), \\\n", + " bbox_to_anchor=(0.6,1.0), \\\n", " bbox_transform=skewt_plot.ax.transAxes, loc='upper left', \\\n", " borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", " edgecolor='0', framealpha=0, borderpad=0.25, \\\n", @@ -1106,18 +1056,19 @@ " 'CAPE$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[0]))+' J kg$^{\\,-1}$\\n'\\\n", " 'CIN$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[1]))+' J kg$^{\\,-1}$\\n'\\\n", " 'CIN$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[1]))+' J kg$^{\\,-1}$'\n", - "skewt_plot.ax.text(s=CAPE_CIN_text,x=1.02,y=0,ha='left',va='bottom',transform=skewt_plot.ax.transAxes,fontsize=fontsize)\n", + "skewt_plot.ax.text(s=CAPE_CIN_text,x=.02,y=0.02,ha='left',va='bottom',\\\n", + " transform=skewt_plot.ax.transAxes,fontsize=fontsize,linespacing=1)\n", "\n", "fig.savefig('figures/manuscript_both_cape_skewT_hour'+str(hour-4)+'_zoom_amazon_region.png', dpi=600, bbox_inches='tight', transparent=True)" ] }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 35, "metadata": { "ExecuteTime": { - "end_time": "2018-06-29T06:09:05.806762Z", - "start_time": "2018-06-29T06:08:59.252380Z" + "end_time": "2018-08-16T14:54:00.860823Z", + "start_time": "2018-08-16T14:53:54.135565Z" } }, "outputs": [ @@ -1189,43 +1140,53 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 64, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:10:25.144833Z", - "start_time": "2018-07-01T06:10:25.131940Z" + "end_time": "2018-08-16T15:01:21.791315Z", + "start_time": "2018-08-16T15:01:21.777483Z" } }, "outputs": [], "source": [ "time_datetimes = pandas.to_datetime([i.decode('utf-8') for i in time], format = '%Y-%m-%d_%H:%M:%S')\n", - "time_datetimes_andes = time_datetimes+datetime.timedelta(hours=-5)" + "time_datetimes_andes = time_datetimes+datetime.timedelta(hours=-5)\n", + "time_datetimes_amazon = time_datetimes+datetime.timedelta(hours=-4)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 65, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:16:20.912877Z", - "start_time": "2018-07-01T06:16:20.904062Z" + "end_time": "2018-08-16T15:01:23.568952Z", + "start_time": "2018-08-16T15:01:23.560176Z" } }, "outputs": [], "source": [ - "hour_indices = [t.hour in [2,3,4] and t.day in range(2,11) for t in time_datetimes_andes]" + "hour_indices = [t.hour in [15] and t.day in range(2,11) for t in time_datetimes_amazon]" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 66, "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:16:24.188851Z", - "start_time": "2018-07-01T06:16:23.614791Z" + "end_time": "2018-08-16T15:01:32.070236Z", + "start_time": "2018-08-16T15:01:31.330007Z" } }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(, )\n", + "(, )\n" + ] + } + ], "source": [ "ptot_lo = 100\n", "ptot_hi = 1013.25\n", @@ -1251,23 +1212,37 @@ ] }, { - "cell_type": "raw", + "cell_type": "code", + "execution_count": 100, "metadata": { "ExecuteTime": { - "end_time": "2018-06-29T06:08:48.681527Z", - "start_time": "2018-06-29T06:08:44.084183Z" + "end_time": "2018-08-16T15:17:31.841652Z", + "start_time": "2018-08-16T15:17:27.271746Z" } }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fontsize=12\n", "hour = 19\n", "\n", "skewt_plot = metpy.plots.SkewT()\n", "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_1000_latlon_afternoon-273.15, lw=3, label='phys. T$_{env}$', c=color_list[0])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_400_latlon_afternoon-273.15, lw=3, label='cont. T$_{env}$', ls='--', c=color_list[1])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_1000_latlon_afternoon-273.15, lw=3, label='phys. T$_d$', c=color_list[2])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_400_latlon_afternoon-273.15, lw=3, label='cont. T$_d$', ls='--', c=color_list[3])\n", + "\n", + "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_400_latlon_afternoon-273.15, lw=2, label='cont. T$_{env}$', ls='-', c=color_list[1])\n", + "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_1000_latlon_afternoon-273.15, lw=2, label='phys. T$_{env}$', ls='--', c=color_list[0])\n", + "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_400_latlon_afternoon-273.15, lw=2, label='cont. T$_d$', ls='-', c=color_list[3])\n", + "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_1000_latlon_afternoon-273.15, lw=2, label='phys. T$_d$', ls='--', c=color_list[2])\n", "\n", "pprofile_400 = metpy.calc.parcel_profile(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", " (tk_400_latlon_afternoon[0]-273.15)*metpy.units.units.degC, \\\n", @@ -1276,22 +1251,22 @@ " (tk_1000_latlon_afternoon[0]-273.15)*metpy.units.units.degC, \\\n", " (td_1000_latlon_afternoon[0]-273.15)*metpy.units.units.degC).to('degC')\n", "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_1000, label='phys. profile', c='0.1', lw=3, ls='-')\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_400, label='cont. profile', c='0.5', lw=3, ls='--')\n", + "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_400, label='cont. profile', c='0.45', lw=2, ls='-')\n", + "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_1000, label='phys. profile', c='0.1', lw=2, ls='--')\n", "\n", "\n", - "# fill in control and phys CAPE\n", - "skewt_plot.shade_cape(ptot_latlon_subset_timemean/100.,\\\n", - " tk_1000_latlon_afternoon-273.15,\\\n", - " numpy.array(pprofile_1000),\\\n", - " edgecolor='None',facecolor=matplotlib.cm.tab20c(8/20),alpha=0.666,\\\n", - " label='phys. CAPE')\n", "\n", + "# fill in control and phys CAPE\n", "skewt_plot.shade_cape(ptot_latlon_subset_timemean/100.,\\\n", " tk_400_latlon_afternoon-273.15,\\\n", " numpy.array(pprofile_400),\\\n", " edgecolor='None',facecolor=matplotlib.cm.tab20c(8/20),alpha=0.333,\\\n", " label='cont. CAPE')\n", + "skewt_plot.shade_cape(ptot_latlon_subset_timemean/100.,\\\n", + " tk_1000_latlon_afternoon-273.15,\\\n", + " numpy.array(pprofile_1000),\\\n", + " edgecolor='None',facecolor=matplotlib.cm.tab20c(8/20),alpha=0.666,\\\n", + " label='phys. CAPE')\n", "\n", "skewt_plot.ax.set_ylim(1013.25,600)\n", "skewt_plot.ax.set_xlim(10,30)\n", @@ -1310,48 +1285,47 @@ "\n", "handles, labels = skewt_plot.ax.get_legend_handles_labels()\n", "skewt_plot.ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " bbox_to_anchor=(1.03,1.0), \\\n", + " bbox_to_anchor=(0.625,0.99), \\\n", " bbox_transform=skewt_plot.ax.transAxes, loc='upper left', \\\n", - " borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", + " borderaxespad=0, labelspacing=0.2, fancybox=False, \\\n", " edgecolor='0', framealpha=0, borderpad=0.25, \\\n", - " columnspacing=0.5, handletextpad=0.5, markerscale=1)\n", + " columnspacing=0.5, handletextpad=0.5, markerscale=1, handlelength=1.5)\n", "\n", "skewt_plot.ax.text(s='skew-T diagram at 15:00 on days 2–10',\\\n", " x=0,y=1.02,\\\n", " transform=skewt_plot.ax.transAxes,\\\n", " ha='left',va='bottom', fontsize=fontsize)\n", "\n", - "skewt_plot.ax.annotate(\"\",xy=(11.6,700), \\\n", + "skewt_plot.ax.annotate(\"\",xy=(11.8,700), \\\n", " xycoords='data',\\\n", - " xytext=(13.6, 700), \\\n", + " xytext=(13.8, 700), \\\n", " textcoords='data',\\\n", - " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=10))\n", + " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=9))\n", "\n", - "skewt_plot.ax.annotate(\"\",xy=(10.9,700), \\\n", + "skewt_plot.ax.annotate(\"\",xy=(11.1,700), \\\n", " xycoords='data',\\\n", - " xytext=(8.9, 700), \\\n", + " xytext=(9.1, 700), \\\n", " textcoords='data',\\\n", - " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=10))\n", + " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=9))\n", "\n", "CAPE_CIN_text = 'CAPE$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[0]))+' J kg$^{\\,-1}$\\n'\\\n", " 'CAPE$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[0]))+' J kg$^{\\,-1}$\\n'\\\n", " 'CIN$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[1]))+' J kg$^{\\,-1}$\\n'\\\n", " 'CIN$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[1]))+' J kg$^{\\,-1}$'\n", - "skewt_plot.ax.text(s=CAPE_CIN_text,x=1.02,y=0,ha='left',va='bottom',transform=skewt_plot.ax.transAxes,fontsize=fontsize)\n", + "skewt_plot.ax.text(s=CAPE_CIN_text,x=0.02,y=0.02,ha='left',va='bottom',\\\n", + " transform=skewt_plot.ax.transAxes,fontsize=fontsize,linespacing=0.9)\n", "\n", - "fig.savefig('manuscript_both_cape_skewT_hour'+str(hour-4)+'_zoom_ALL_DAYS_amazon_region.png', dpi=600, bbox_inches='tight', transparent=True)" + "fig.savefig('figures/manuscript_both_cape_skewT_hour'+str(hour-4)+'_zoom_ALL_DAYS_amazon_region.png', dpi=600, bbox_inches='tight', transparent=True)" ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "raw", "metadata": { "ExecuteTime": { - "end_time": "2018-07-01T06:16:33.854303Z", - "start_time": "2018-07-01T06:16:29.760498Z" + "end_time": "2018-08-16T14:59:59.457105Z", + "start_time": "2018-08-16T14:59:55.013884Z" } }, - "outputs": [], "source": [ "fontsize=12\n", "\n", @@ -1386,8 +1360,8 @@ " edgecolor='None',facecolor=matplotlib.cm.tab20c(8/20),alpha=0.333,\\\n", " label='cont. CAPE')\n", "\n", - "skewt_plot.ax.set_ylim(800.,500.)\n", - "skewt_plot.ax.set_xlim(0,17)\n", + "skewt_plot.ax.set_ylim(1013.25,500.)\n", + "skewt_plot.ax.set_xlim(10,30)\n", "\n", "fig = mp.gcf()\n", "fig.set_size_inches(4.45,4.25)\n", @@ -1403,7 +1377,7 @@ "\n", "handles, labels = skewt_plot.ax.get_legend_handles_labels()\n", "skewt_plot.ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " bbox_to_anchor=(1.03,1.0), \\\n", + " bbox_to_anchor=(0.6,1.0), \\\n", " bbox_transform=skewt_plot.ax.transAxes, loc='upper left', \\\n", " borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", " edgecolor='0', framealpha=0, borderpad=0.25, \\\n", @@ -1430,9 +1404,10 @@ " 'CAPE$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[0]))+' J kg$^{\\,-1}$\\n'\\\n", " 'CIN$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[1]))+' J kg$^{\\,-1}$\\n'\\\n", " 'CIN$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[1]))+' J kg$^{\\,-1}$'\n", - "skewt_plot.ax.text(s=CAPE_CIN_text,x=1.02,y=0,ha='left',va='bottom',transform=skewt_plot.ax.transAxes,fontsize=fontsize)\n", + "skewt_plot.ax.text(s=CAPE_CIN_text,x=0.02,y=0.02,ha='left',va='bottom',\\\n", + " transform=skewt_plot.ax.transAxes,fontsize=fontsize,linespacing=1)\n", "\n", - "fig.savefig('manuscript_both_cape_skewT_hour'+str(hour)+'_zoom_ALL_DAYS_andes_region.png', dpi=600, bbox_inches='tight', transparent=True)" + "fig.savefig('manuscript_both_cape_skewT_hour'+str(hour)+'_zoom_ALL_DAYS_amazon_region.png', dpi=600, bbox_inches='tight', transparent=True)" ] }, { @@ -1482,8 +1457,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T02:09:56.378600Z", - "start_time": "2018-06-27T02:09:50.833702Z" + "end_time": "2018-08-16T14:27:50.553544Z", + "start_time": "2018-08-16T14:22:29.567Z" } }, "outputs": [], @@ -1614,8 +1589,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T02:09:56.415037Z", - "start_time": "2018-06-27T02:09:56.386936Z" + "end_time": "2018-08-16T14:27:50.554885Z", + "start_time": "2018-08-16T14:22:29.572Z" } }, "outputs": [], @@ -1632,8 +1607,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T02:10:00.416223Z", - "start_time": "2018-06-27T02:10:00.392164Z" + "end_time": "2018-08-16T14:27:50.556247Z", + "start_time": "2018-08-16T14:22:29.575Z" } }, "outputs": [], @@ -1650,8 +1625,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T02:10:02.462579Z", - "start_time": "2018-06-27T02:10:02.458023Z" + "end_time": "2018-08-16T14:27:50.568188Z", + "start_time": "2018-08-16T14:22:29.580Z" } }, "outputs": [], @@ -1664,8 +1639,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T18:47:06.591858Z", - "start_time": "2018-06-27T18:47:01.822942Z" + "end_time": "2018-08-16T14:27:50.569582Z", + "start_time": "2018-08-16T14:22:29.584Z" } }, "outputs": [], @@ -1736,8 +1711,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T18:47:14.461318Z", - "start_time": "2018-06-27T18:47:09.696742Z" + "end_time": "2018-08-16T14:27:50.570947Z", + "start_time": "2018-08-16T14:22:29.588Z" } }, "outputs": [], @@ -1813,8 +1788,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T18:53:11.109677Z", - "start_time": "2018-06-27T18:47:20.673241Z" + "end_time": "2018-08-16T14:27:50.572293Z", + "start_time": "2018-08-16T14:22:29.592Z" } }, "outputs": [], @@ -1828,8 +1803,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T18:54:22.436508Z", - "start_time": "2018-06-27T18:54:22.416940Z" + "end_time": "2018-08-16T14:27:50.573647Z", + "start_time": "2018-08-16T14:22:29.597Z" } }, "outputs": [], @@ -1842,8 +1817,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T19:07:40.729908Z", - "start_time": "2018-06-27T19:07:40.287937Z" + "end_time": "2018-08-16T14:27:50.575002Z", + "start_time": "2018-08-16T14:22:29.601Z" } }, "outputs": [], @@ -1866,8 +1841,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T18:53:18.953639Z", - "start_time": "2018-06-27T18:53:14.413810Z" + "end_time": "2018-08-16T14:27:50.576423Z", + "start_time": "2018-08-16T14:22:29.607Z" } }, "outputs": [], @@ -1975,8 +1950,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T19:28:45.799792Z", - "start_time": "2018-06-27T19:28:40.980482Z" + "end_time": "2018-08-16T14:27:50.577933Z", + "start_time": "2018-08-16T14:22:29.612Z" } }, "outputs": [], @@ -2060,8 +2035,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T19:20:34.509275Z", - "start_time": "2018-06-27T19:20:34.499228Z" + "end_time": "2018-08-16T14:27:50.579290Z", + "start_time": "2018-08-16T14:22:29.617Z" } }, "outputs": [], @@ -2095,8 +2070,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-27T00:53:16.852206Z", - "start_time": "2018-06-27T00:53:14.099018Z" + "end_time": "2018-08-16T14:27:50.580863Z", + "start_time": "2018-08-16T14:22:29.633Z" } }, "outputs": [], @@ -2187,8 +2162,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-25T06:05:03.117364Z", - "start_time": "2018-06-25T06:04:59.675547Z" + "end_time": "2018-08-16T14:27:50.593957Z", + "start_time": "2018-08-16T14:22:29.638Z" } }, "outputs": [], @@ -2334,8 +2309,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-24T02:10:17.561197Z", - "start_time": "2018-06-24T02:10:17.546577Z" + "end_time": "2018-08-16T14:27:50.595290Z", + "start_time": "2018-08-16T14:22:29.671Z" } }, "outputs": [], @@ -2348,8 +2323,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-24T02:10:19.750505Z", - "start_time": "2018-06-24T02:10:19.735549Z" + "end_time": "2018-08-16T14:27:50.596622Z", + "start_time": "2018-08-16T14:22:29.676Z" } }, "outputs": [], @@ -2381,8 +2356,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:02:32.365226Z", - "start_time": "2018-06-17T04:02:32.359084Z" + "end_time": "2018-08-16T14:27:50.598089Z", + "start_time": "2018-08-16T14:22:29.683Z" } }, "outputs": [], @@ -2399,8 +2374,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:05:31.608852Z", - "start_time": "2018-06-17T04:05:31.600230Z" + "end_time": "2018-08-16T14:27:50.599543Z", + "start_time": "2018-08-16T14:22:29.687Z" } }, "outputs": [], @@ -2463,8 +2438,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:07:57.679876Z", - "start_time": "2018-06-17T04:07:42.668321Z" + "end_time": "2018-08-16T14:27:50.600887Z", + "start_time": "2018-08-16T14:22:29.845Z" } }, "outputs": [], @@ -2478,8 +2453,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:08:07.257499Z", - "start_time": "2018-06-17T04:07:58.613026Z" + "end_time": "2018-08-16T14:27:50.602245Z", + "start_time": "2018-08-16T14:22:29.849Z" } }, "outputs": [], @@ -2500,8 +2475,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:50:44.980744Z", - "start_time": "2018-06-17T04:50:43.631144Z" + "end_time": "2018-08-16T14:27:50.603591Z", + "start_time": "2018-08-16T14:22:29.852Z" } }, "outputs": [], @@ -2514,8 +2489,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:50:52.750576Z", - "start_time": "2018-06-17T04:50:44.989419Z" + "end_time": "2018-08-16T14:27:50.604943Z", + "start_time": "2018-08-16T14:22:29.858Z" } }, "outputs": [], @@ -2535,8 +2510,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:50:57.308961Z", - "start_time": "2018-06-17T04:50:57.223712Z" + "end_time": "2018-08-16T14:27:50.606287Z", + "start_time": "2018-08-16T14:22:29.861Z" } }, "outputs": [], @@ -2554,8 +2529,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:50:59.683003Z", - "start_time": "2018-06-17T04:50:59.473753Z" + "end_time": "2018-08-16T14:27:50.618191Z", + "start_time": "2018-08-16T14:22:29.865Z" } }, "outputs": [], @@ -2577,8 +2552,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:04:32.767647Z", - "start_time": "2018-06-17T04:04:07.332756Z" + "end_time": "2018-08-16T14:27:50.619653Z", + "start_time": "2018-08-16T14:22:29.870Z" } }, "outputs": [], @@ -2591,8 +2566,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:04:33.528212Z", - "start_time": "2018-06-17T04:04:33.398230Z" + "end_time": "2018-08-16T14:27:50.620976Z", + "start_time": "2018-08-16T14:22:29.874Z" } }, "outputs": [], @@ -2612,8 +2587,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:13:19.234532Z", - "start_time": "2018-06-17T04:13:15.257165Z" + "end_time": "2018-08-16T14:27:50.622332Z", + "start_time": "2018-08-16T14:22:29.878Z" } }, "outputs": [], @@ -2631,8 +2606,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:13:21.582302Z", - "start_time": "2018-06-17T04:13:20.257743Z" + "end_time": "2018-08-16T14:27:50.623684Z", + "start_time": "2018-08-16T14:22:29.882Z" } }, "outputs": [], @@ -2654,8 +2629,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:04:53.875147Z", - "start_time": "2018-06-17T04:04:40.844402Z" + "end_time": "2018-08-16T14:27:50.625027Z", + "start_time": "2018-08-16T14:22:29.886Z" } }, "outputs": [], @@ -2668,8 +2643,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:04:54.669112Z", - "start_time": "2018-06-17T04:04:54.539566Z" + "end_time": "2018-08-16T14:27:50.626373Z", + "start_time": "2018-08-16T14:22:29.889Z" } }, "outputs": [], @@ -2689,8 +2664,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:13:19.234532Z", - "start_time": "2018-06-17T04:13:15.257165Z" + "end_time": "2018-08-16T14:27:50.627781Z", + "start_time": "2018-08-16T14:22:29.893Z" } }, "outputs": [], @@ -2708,8 +2683,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:13:21.582302Z", - "start_time": "2018-06-17T04:13:20.257743Z" + "end_time": "2018-08-16T14:27:50.629306Z", + "start_time": "2018-08-16T14:22:29.898Z" } }, "outputs": [], @@ -2731,8 +2706,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:13.048463Z", - "start_time": "2018-06-17T04:35:01.271278Z" + "end_time": "2018-08-16T14:27:50.630660Z", + "start_time": "2018-08-16T14:22:29.901Z" } }, "outputs": [], @@ -2745,8 +2720,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:17.243103Z", - "start_time": "2018-06-17T04:35:14.428058Z" + "end_time": "2018-08-16T14:27:50.642458Z", + "start_time": "2018-08-16T14:22:29.904Z" } }, "outputs": [], @@ -2766,8 +2741,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:19.784794Z", - "start_time": "2018-06-17T04:35:18.652049Z" + "end_time": "2018-08-16T14:27:50.643887Z", + "start_time": "2018-08-16T14:22:29.908Z" } }, "outputs": [], @@ -2785,8 +2760,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:21.412573Z", - "start_time": "2018-06-17T04:35:21.232332Z" + "end_time": "2018-08-16T14:27:50.645202Z", + "start_time": "2018-08-16T14:22:29.912Z" } }, "outputs": [], @@ -2808,8 +2783,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:13.048463Z", - "start_time": "2018-06-17T04:35:01.271278Z" + "end_time": "2018-08-16T14:27:50.646543Z", + "start_time": "2018-08-16T14:22:29.918Z" } }, "outputs": [], @@ -2822,8 +2797,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:17.243103Z", - "start_time": "2018-06-17T04:35:14.428058Z" + "end_time": "2018-08-16T14:27:50.647924Z", + "start_time": "2018-08-16T14:22:29.921Z" } }, "outputs": [], @@ -2843,8 +2818,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:19.784794Z", - "start_time": "2018-06-17T04:35:18.652049Z" + "end_time": "2018-08-16T14:27:50.649276Z", + "start_time": "2018-08-16T14:22:29.926Z" } }, "outputs": [], @@ -2862,8 +2837,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:21.412573Z", - "start_time": "2018-06-17T04:35:21.232332Z" + "end_time": "2018-08-16T14:27:50.650777Z", + "start_time": "2018-08-16T14:22:29.929Z" } }, "outputs": [], @@ -2885,8 +2860,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:51:11.475177Z", - "start_time": "2018-06-17T04:51:11.447771Z" + "end_time": "2018-08-16T14:27:50.652239Z", + "start_time": "2018-08-16T14:22:29.933Z" } }, "outputs": [], @@ -2919,8 +2894,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:51:14.396961Z", - "start_time": "2018-06-17T04:51:14.377935Z" + "end_time": "2018-08-16T14:27:50.653933Z", + "start_time": "2018-08-16T14:22:29.938Z" } }, "outputs": [], @@ -2950,8 +2925,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:13:25.550317Z", - "start_time": "2018-06-17T04:13:25.532569Z" + "end_time": "2018-08-16T14:27:50.655306Z", + "start_time": "2018-08-16T14:22:29.941Z" } }, "outputs": [], @@ -2984,8 +2959,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:24:07.089984Z", - "start_time": "2018-06-17T04:24:07.075151Z" + "end_time": "2018-08-16T14:27:50.656677Z", + "start_time": "2018-08-16T14:22:29.946Z" } }, "outputs": [], @@ -3015,8 +2990,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:17:28.167904Z", - "start_time": "2018-06-17T04:17:28.149999Z" + "end_time": "2018-08-16T14:27:50.668198Z", + "start_time": "2018-08-16T14:22:29.950Z" } }, "outputs": [], @@ -3049,8 +3024,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:23:53.603889Z", - "start_time": "2018-06-17T04:23:53.589110Z" + "end_time": "2018-08-16T14:27:50.669552Z", + "start_time": "2018-08-16T14:22:29.953Z" } }, "outputs": [], @@ -3080,8 +3055,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:34.295636Z", - "start_time": "2018-06-17T04:35:34.274525Z" + "end_time": "2018-08-16T14:27:50.671248Z", + "start_time": "2018-08-16T14:22:29.959Z" } }, "outputs": [], @@ -3114,8 +3089,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:36.465829Z", - "start_time": "2018-06-17T04:35:36.453249Z" + "end_time": "2018-08-16T14:27:50.672632Z", + "start_time": "2018-08-16T14:22:29.964Z" } }, "outputs": [], @@ -3145,8 +3120,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:34.295636Z", - "start_time": "2018-06-17T04:35:34.274525Z" + "end_time": "2018-08-16T14:27:50.673996Z", + "start_time": "2018-08-16T14:22:29.968Z" } }, "outputs": [], @@ -3179,8 +3154,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:35:36.465829Z", - "start_time": "2018-06-17T04:35:36.453249Z" + "end_time": "2018-08-16T14:27:50.675368Z", + "start_time": "2018-08-16T14:22:29.973Z" } }, "outputs": [], @@ -3210,8 +3185,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-17T04:15:03.622146Z", - "start_time": "2018-06-17T04:15:03.613490Z" + "end_time": "2018-08-16T14:27:50.676715Z", + "start_time": "2018-08-16T14:22:29.977Z" } }, "outputs": [], @@ -3231,8 +3206,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-21T15:18:07.619869Z", - "start_time": "2018-06-21T15:18:01.283623Z" + "end_time": "2018-08-16T14:27:50.678078Z", + "start_time": "2018-08-16T14:22:29.981Z" } }, "outputs": [], @@ -3284,8 +3259,8 @@ "execution_count": null, "metadata": { "ExecuteTime": { - "end_time": "2018-06-21T15:17:03.323651Z", - "start_time": "2018-06-21T15:16:56.787093Z" + "end_time": "2018-08-16T14:27:50.679436Z", + "start_time": "2018-08-16T14:22:29.988Z" } }, "outputs": [], diff --git a/gp1_wrf_MANUSCRIPT_figure_4_precip_time_series.ipynb b/gp1_wrf_MANUSCRIPT_figure_4_precip_time_series.ipynb new file mode 100644 index 0000000..8cc005a --- /dev/null +++ b/gp1_wrf_MANUSCRIPT_figure_4_precip_time_series.ipynb @@ -0,0 +1,1753 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import stuff" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:52:03.110841Z", + "start_time": "2018-08-16T18:51:59.786234Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import glob\n", + "import netCDF4\n", + "import pandas\n", + "import wrf\n", + "import string\n", + "import seaborn\n", + "import matplotlib.colors\n", + "import cmocean\n", + "import matplotlib.cm\n", + "\n", + "import metpy\n", + "import metpy.plots\n", + "import metpy.calc\n", + "import metpy.units\n", + "\n", + "import cartopy\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# set up wet and dry regions" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:52:03.126954Z", + "start_time": "2018-08-16T18:52:03.119838Z" + } + }, + "outputs": [], + "source": [ + "dry_lon_lo, dry_lon_hi, dry_lat_lo, dry_lat_hi = -60,-50,-10,10\n", + "wet_lon_lo, wet_lon_hi, wet_lat_lo, wet_lat_hi = -80,-75,-10,10\n", + "\n", + "dry_lon_lo_degE = 360+dry_lon_lo\n", + "dry_lon_hi_degE = 360+dry_lon_hi\n", + "\n", + "wet_lon_lo_degE = 360+wet_lon_lo\n", + "wet_lon_hi_degE = 360+wet_lon_hi" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:52:03.224642Z", + "start_time": "2018-08-16T18:52:03.135079Z" + } + }, + "outputs": [], + "source": [ + "lon_lo_ama = dry_lon_lo\n", + "lon_hi_ama = dry_lon_hi\n", + "lat_lo_ama = dry_lat_lo\n", + "lat_hi_ama = dry_lat_hi\n", + "\n", + "lon_lo_and = wet_lon_lo\n", + "lon_hi_and = wet_lon_hi\n", + "lat_lo_and = wet_lat_lo\n", + "lat_hi_and = wet_lat_hi" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# open control data" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:52:06.021408Z", + "start_time": "2018-08-16T18:52:05.214884Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400/ens_mean_wrfout_files'\n", + "file_list = sorted(glob.glob(root_dir+'/'+'wrfout*.nc'))\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:52:13.729726Z", + "start_time": "2018-08-16T18:52:06.029824Z" + } + }, + "outputs": [], + "source": [ + "cont_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*.nc')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:52:48.312739Z", + "start_time": "2018-08-16T18:52:13.738347Z" + } + }, + "outputs": [], + "source": [ + "rainc_400 = cont_mfds['RAINC'].values\n", + "rainnc_400 = cont_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:53:16.109445Z", + "start_time": "2018-08-16T18:52:48.321237Z" + } + }, + "outputs": [], + "source": [ + "time = cont_mfds['Times'].values\n", + "xlat = cont_mfds['XLAT'].values[0,:,:]\n", + "xlong = cont_mfds['XLONG'].values[0,:,:]\n", + "landmask = cont_mfds['LANDMASK'].values[0,:,:]\n", + "landmask_midpoints = landmask[1:,1:]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:53:16.171385Z", + "start_time": "2018-08-16T18:53:16.117816Z" + } + }, + "outputs": [], + "source": [ + "hgt = cont_mfds['HGT'].sel(Time=0).values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# get time info" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:53:16.238561Z", + "start_time": "2018-08-16T18:53:16.179911Z" + } + }, + "outputs": [], + "source": [ + "time_datetimes = pandas.to_datetime([i.decode('utf-8') for i in time], format = '%Y-%m-%d_%H:%M:%S')" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:53:16.314739Z", + "start_time": "2018-08-16T18:53:16.246901Z" + } + }, + "outputs": [], + "source": [ + "time_datetimes_shifted_ama = time_datetimes + datetime.timedelta(hours=-4)\n", + "time_datetimes_shifted_and = time_datetimes + datetime.timedelta(hours=-5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# get land mask info" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:53:16.427208Z", + "start_time": "2018-08-16T18:53:16.323054Z" + } + }, + "outputs": [], + "source": [ + "landmask_indices = numpy.copy(landmask)\n", + "landmask_indices[landmask==1]=1\n", + "landmask_indices[landmask!=1]=0\n", + "landmask_indices = numpy.array(landmask_indices, dtype=bool)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:53:16.552810Z", + "start_time": "2018-08-16T18:53:16.435896Z" + } + }, + "outputs": [], + "source": [ + "lon_indices_ama = (xlong>=lon_lo_ama)&(xlong<=lon_hi_ama)\n", + "lat_indices_ama = (xlat>=lat_lo_ama)&(xlat<=lat_hi_ama)\n", + "latlon_indices_ama = (lon_indices_ama)&(lat_indices_ama)&(landmask_indices)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:53:16.678082Z", + "start_time": "2018-08-16T18:53:16.561346Z" + } + }, + "outputs": [], + "source": [ + "lon_indices_and = (xlong>=lon_lo_and)&(xlong<=lon_hi_and)\n", + "lat_indices_and = (xlat>=lat_lo_and)&(xlat<=lat_hi_and)\n", + "latlon_indices_and = (lon_indices_and)&(lat_indices_and)&(landmask_indices)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:53:16.811105Z", + "start_time": "2018-08-16T18:53:16.686471Z" + } + }, + "outputs": [], + "source": [ + "latlon_indices_and_high = (lon_indices_and)&(lat_indices_and)&(landmask_indices)&(hgt>1500.)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# open phys data" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:53:24.443506Z", + "start_time": "2018-08-16T18:53:16.819424Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000/ens_mean_wrfout_files'\n", + "file_list = sorted(glob.glob(root_dir+'/'+'wrfout*.nc'))\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]\n", + "\n", + "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*.nc')" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:54:04.866346Z", + "start_time": "2018-08-16T18:53:29.750866Z" + } + }, + "outputs": [], + "source": [ + "rainc_1000 = phys_mfds['RAINC'].values\n", + "rainnc_1000 = phys_mfds['RAINNC'].values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# rain diffs for hourly" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:54:04.944331Z", + "start_time": "2018-08-16T18:54:04.876071Z" + } + }, + "outputs": [], + "source": [ + "raintot_400 = rainc_400+rainnc_400\n", + "raintot_1000 = rainc_1000+rainnc_1000" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:54:05.155855Z", + "start_time": "2018-08-16T18:54:04.952713Z" + } + }, + "outputs": [], + "source": [ + "raintot_diffs_400 = numpy.zeros((raintot_400.shape))*numpy.nan\n", + "raintot_diffs_1000 = numpy.zeros((raintot_1000.shape))*numpy.nan\n", + "\n", + "raintot_diffs_400[:-1,:,:] = numpy.diff(raintot_400, axis=0)\n", + "raintot_diffs_1000[:-1,:,:] = numpy.diff(raintot_1000, axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# raintot diffs" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:54:05.186173Z", + "start_time": "2018-08-16T18:54:05.164517Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", + " after removing the cwd from sys.path.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:5: RuntimeWarning: Mean of empty slice\n", + " \"\"\"\n" + ] + } + ], + "source": [ + "raintot_diffs_400_latlon_subset_ama = raintot_diffs_400[:,latlon_indices_ama]\n", + "raintot_diffs_1000_latlon_subset_ama = raintot_diffs_1000[:,latlon_indices_ama]\n", + "\n", + "raintot_diffs_400_latlon_mean_ama = numpy.nanmean(raintot_diffs_400_latlon_subset_ama, axis=1)\n", + "raintot_diffs_1000_latlon_mean_ama = numpy.nanmean(raintot_diffs_1000_latlon_subset_ama, axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:54:05.287361Z", + "start_time": "2018-08-16T18:54:05.194435Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", + " after removing the cwd from sys.path.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:5: RuntimeWarning: Mean of empty slice\n", + " \"\"\"\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:10: RuntimeWarning: Mean of empty slice\n", + " # Remove the CWD from sys.path while we load stuff.\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:11: RuntimeWarning: Mean of empty slice\n", + " # This is added back by InteractiveShellApp.init_path()\n" + ] + } + ], + "source": [ + "raintot_diffs_400_latlon_subset_and = raintot_diffs_400[:,latlon_indices_and]\n", + "raintot_diffs_1000_latlon_subset_and = raintot_diffs_1000[:,latlon_indices_and]\n", + "\n", + "raintot_diffs_400_latlon_mean_and = numpy.nanmean(raintot_diffs_400_latlon_subset_and, axis=1)\n", + "raintot_diffs_1000_latlon_mean_and = numpy.nanmean(raintot_diffs_1000_latlon_subset_and, axis=1)\n", + "\n", + "raintot_diffs_400_latlon_subset_and_high = raintot_diffs_400[:,latlon_indices_and_high]\n", + "raintot_diffs_1000_latlon_subset_and_high = raintot_diffs_1000[:,latlon_indices_and_high]\n", + "\n", + "raintot_diffs_400_latlon_mean_and_high = numpy.nanmean(raintot_diffs_400_latlon_subset_and_high, axis=1)\n", + "raintot_diffs_1000_latlon_mean_and_high = numpy.nanmean(raintot_diffs_1000_latlon_subset_and_high, axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# time periods:\n", + "* Amazon: 8am to 8pm (AMtoPM) - daytime\n", + "* Amazon: 8pm to 8am (PMtoAM) - overnight\n", + "\n", + "#### EDIT (2018/08/16): USE 8am to 8pm for BOTH regions\n", + "\n", + "```\n", + "IGNORE THIS:\n", + "* Andes: 10am to 6pm (AMtoPM) - daytime\n", + "* Andes: 6pm to 10am (PMtoAM) - overnight\n", + "```" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:54:05.370591Z", + "start_time": "2018-08-16T18:54:05.295601Z" + } + }, + "source": [ + "time_indices_AMtoPM_ama = [t.hour in range(8,20) for t in time_datetimes_shifted_ama]\n", + "time_indices_PMtoAM_ama = [(t.hour in range(20,24)) or (t.hour in range(0,8)) for t in time_datetimes_shifted_ama]\n", + "\n", + "time_indices_AMtoPM_and = [t.hour in range(10,18) for t in time_datetimes_shifted_and]\n", + "time_indices_PMtoAM_and = [(t.hour in range(18,24)) or (t.hour in range(0,10)) for t in time_datetimes_shifted_and]" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:13:47.745446Z", + "start_time": "2018-08-16T19:13:47.731774Z" + } + }, + "outputs": [], + "source": [ + "time_indices_AMtoPM_ama = [t.hour in range(8,20) for t in time_datetimes_shifted_ama]\n", + "time_indices_PMtoAM_ama = [(t.hour in range(20,24)) or (t.hour in range(0,8)) for t in time_datetimes_shifted_ama]\n", + "\n", + "time_indices_AMtoPM_and = [t.hour in range(8,20) for t in time_datetimes_shifted_and]\n", + "time_indices_PMtoAM_and = [(t.hour in range(20,24)) or (t.hour in range(0,8)) for t in time_datetimes_shifted_and]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "calculate difference percentages" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:11:01.908291Z", + "start_time": "2018-08-16T19:11:01.887704Z" + } + }, + "outputs": [], + "source": [ + "raintot_diffs_400_AMtoPM_ama = (12/24)*numpy.nanmean(raintot_diffs_400_latlon_subset_ama[time_indices_AMtoPM_ama])\n", + "raintot_diffs_400_PMtoAM_ama = (12/24)*numpy.nanmean(raintot_diffs_400_latlon_subset_ama[time_indices_PMtoAM_ama])\n", + "\n", + "raintot_diffs_1000_AMtoPM_ama = (12/24)*numpy.nanmean(raintot_diffs_1000_latlon_subset_ama[time_indices_AMtoPM_ama])\n", + "raintot_diffs_1000_PMtoAM_ama = (12/24)*numpy.nanmean(raintot_diffs_1000_latlon_subset_ama[time_indices_PMtoAM_ama])\n", + "\n", + "raintot_diffs_400_timemean_ama = numpy.nanmean(raintot_diffs_400_latlon_subset_ama)\n", + "raintot_diffs_1000_timemean_ama = numpy.nanmean(raintot_diffs_1000_latlon_subset_ama)" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:03:50.166163Z", + "start_time": "2018-08-16T19:03:50.150382Z" + } + }, + "source": [ + "raintot_diffs_400_AMtoPM_and = (8/24)*numpy.nanmean(raintot_diffs_400_latlon_subset_and[time_indices_AMtoPM_and])\n", + "raintot_diffs_400_PMtoAM_and = (16/24)*numpy.nanmean(raintot_diffs_400_latlon_subset_and[time_indices_PMtoAM_and])\n", + "\n", + "raintot_diffs_1000_AMtoPM_and = (8/24)*numpy.nanmean(raintot_diffs_1000_latlon_subset_and[time_indices_AMtoPM_and])\n", + "raintot_diffs_1000_PMtoAM_and = (16/24)*numpy.nanmean(raintot_diffs_1000_latlon_subset_and[time_indices_PMtoAM_and])\n", + "\n", + "raintot_diffs_400_timemean_and = numpy.nanmean(raintot_diffs_400_latlon_subset_and)\n", + "raintot_diffs_1000_timemean_and = numpy.nanmean(raintot_diffs_1000_latlon_subset_and)" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:11:02.730732Z", + "start_time": "2018-08-16T19:11:02.717323Z" + } + }, + "outputs": [], + "source": [ + "raintot_diffs_400_AMtoPM_and = (12/24)*numpy.nanmean(raintot_diffs_400_latlon_subset_and[time_indices_AMtoPM_and])\n", + "raintot_diffs_400_PMtoAM_and = (12/24)*numpy.nanmean(raintot_diffs_400_latlon_subset_and[time_indices_PMtoAM_and])\n", + "\n", + "raintot_diffs_1000_AMtoPM_and = (12/24)*numpy.nanmean(raintot_diffs_1000_latlon_subset_and[time_indices_AMtoPM_and])\n", + "raintot_diffs_1000_PMtoAM_and = (12/24)*numpy.nanmean(raintot_diffs_1000_latlon_subset_and[time_indices_PMtoAM_and])\n", + "\n", + "raintot_diffs_400_timemean_and = numpy.nanmean(raintot_diffs_400_latlon_subset_and)\n", + "raintot_diffs_1000_timemean_and = numpy.nanmean(raintot_diffs_1000_latlon_subset_and)" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:15:25.747091Z", + "start_time": "2018-08-16T19:15:25.733470Z" + } + }, + "outputs": [], + "source": [ + "raintot_diffs_400_AMtoPM_and_high = (12/24)*numpy.nanmean(raintot_diffs_400_latlon_subset_and_high[time_indices_AMtoPM_and])\n", + "raintot_diffs_400_PMtoAM_and_high = (12/24)*numpy.nanmean(raintot_diffs_400_latlon_subset_and_high[time_indices_PMtoAM_and])\n", + "\n", + "raintot_diffs_1000_AMtoPM_and_high = (12/24)*numpy.nanmean(raintot_diffs_1000_latlon_subset_and_high[time_indices_AMtoPM_and])\n", + "raintot_diffs_1000_PMtoAM_and_high = (12/24)*numpy.nanmean(raintot_diffs_1000_latlon_subset_and_high[time_indices_PMtoAM_and])\n", + "\n", + "raintot_diffs_400_timemean_and_high = numpy.nanmean(raintot_diffs_400_latlon_subset_and_high)\n", + "raintot_diffs_1000_timemean_and_high = numpy.nanmean(raintot_diffs_1000_latlon_subset_and_high)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:54:06.053098Z", + "start_time": "2018-08-16T18:54:05.945756Z" + } + }, + "outputs": [], + "source": [ + "and_total_diff = raintot_diffs_1000_timemean_and-raintot_diffs_400_timemean_and\n", + "and_AMtoPM_diff = raintot_diffs_1000_AMtoPM_and-raintot_diffs_400_AMtoPM_and\n", + "and_PMtoAM_diff = raintot_diffs_1000_PMtoAM_and-raintot_diffs_400_PMtoAM_and" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:04:22.570531Z", + "start_time": "2018-08-16T19:04:22.561723Z" + } + }, + "outputs": [], + "source": [ + "and_high_total_diff = raintot_diffs_1000_timemean_and_high-raintot_diffs_400_timemean_and_high\n", + "and_high_AMtoPM_diff = raintot_diffs_1000_AMtoPM_and_high-raintot_diffs_400_AMtoPM_and_high\n", + "and_high_PMtoAM_diff = raintot_diffs_1000_PMtoAM_and_high-raintot_diffs_400_PMtoAM_and_high" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:04:22.855607Z", + "start_time": "2018-08-16T19:04:22.851394Z" + } + }, + "outputs": [], + "source": [ + "ama_total_diff = raintot_diffs_1000_timemean_ama-raintot_diffs_400_timemean_ama\n", + "ama_AMtoPM_diff = raintot_diffs_1000_AMtoPM_ama-raintot_diffs_400_AMtoPM_ama\n", + "ama_PMtoAM_diff = (raintot_diffs_1000_PMtoAM_ama-raintot_diffs_400_PMtoAM_ama)" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:04:23.487380Z", + "start_time": "2018-08-16T19:04:23.482900Z" + } + }, + "outputs": [], + "source": [ + "orange_cmap = seaborn.color_palette('Oranges', 6)\n", + "blue_cmap = seaborn.color_palette('Blues', 6)" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:04:23.983000Z", + "start_time": "2018-08-16T19:04:23.972963Z" + } + }, + "outputs": [], + "source": [ + "class Handler(object):\n", + " def __init__(self, color1, color2):\n", + " self.color1=color1\n", + " self.color2=color2\n", + " def legend_artist(self, legend, orig_handle, fontsize, handlebox):\n", + " x0, y0 = handlebox.xdescent, handlebox.ydescent\n", + " width, height = handlebox.width, handlebox.height\n", + " patch = mp.Rectangle([x0, y0], width, height, facecolor=self.color1,\n", + " edgecolor='None', transform=handlebox.get_transform())\n", + " patch2 = mp.Rectangle([x0+width/2., y0], width/2., height, facecolor=self.color2,\n", + " edgecolor='None', transform=handlebox.get_transform())\n", + " handlebox.add_artist(patch)\n", + " handlebox.add_artist(patch2)\n", + " return patch" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:04:25.094492Z", + "start_time": "2018-08-16T19:04:24.800812Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "fig = mp.figure(figsize=(4.25,3.25))\n", + "\n", + "ax = fig.add_subplot(111)\n", + "ax.tick_params(labelsize=fontsize)\n", + "\n", + "loc1=1\n", + "loc2=2\n", + "loc3=3.25\n", + "loc4=4.25\n", + "barwidth = .75\n", + "\n", + "ax.set_xlim(loc1-.75,loc4+.75)\n", + "ax.bar(loc1,raintot_diffs_400_PMtoAM_and*24.,fc=blue_cmap[-1],width=barwidth)\n", + "ax.bar(loc1,raintot_diffs_400_AMtoPM_and*24.,bottom=raintot_diffs_400_PMtoAM_and*24.,fc=orange_cmap[-1],width=barwidth)\n", + "\n", + "ax.bar(loc2,raintot_diffs_1000_PMtoAM_and*24.,fc=blue_cmap[-3],width=barwidth)\n", + "ax.bar(loc2,raintot_diffs_1000_AMtoPM_and*24.,bottom=raintot_diffs_1000_PMtoAM_and*24.,fc=orange_cmap[-3],width=barwidth)\n", + "\n", + "ax.set_xticklabels([])\n", + "ax.set_xticks([loc1,loc2,loc3,loc4])\n", + "\n", + "ax.bar(loc3,raintot_diffs_400_PMtoAM_ama*24.,fc=blue_cmap[-1],width=barwidth)\n", + "ax.bar(loc3,raintot_diffs_400_AMtoPM_ama*24.,bottom=raintot_diffs_400_PMtoAM_ama*24.,fc=orange_cmap[-1],width=barwidth)\n", + "\n", + "ax.bar(loc4,raintot_diffs_1000_PMtoAM_ama*24.,fc=blue_cmap[-3],width=barwidth)\n", + "ax.bar(loc4,raintot_diffs_1000_AMtoPM_ama*24.,bottom=raintot_diffs_1000_PMtoAM_ama*24.,fc=orange_cmap[-3],width=barwidth)\n", + "\n", + "ax.set_yticks([0,2,4,6,8,10])\n", + "ax.set_ylabel('mm day$^{\\,-1}$', fontsize=fontsize)\n", + "\n", + "ax.text(s='cont.',x=loc1,y=-.25,fontsize=fontsize,ha='center',va='top')\n", + "ax.text(s='phys.',x=loc2,y=-.25,fontsize=fontsize,ha='center',va='top')\n", + "ax.text(s='cont.',x=loc3,y=-.25,fontsize=fontsize,ha='center',va='top')\n", + "ax.text(s='phys.',x=loc4,y=-.25,fontsize=fontsize,ha='center',va='top')\n", + "ax.text(s='Andes',x=.5*(loc1+loc2),y=-1.25,fontsize=fontsize,ha='center',va='top')\n", + "ax.text(s='Amazon',x=.5*(loc3+loc4),y=-1.25,fontsize=fontsize,ha='center',va='top')\n", + "\n", + "\n", + "# andes night\n", + "fraction = and_PMtoAM_diff/and_total_diff\n", + "y0 = 0\n", + "y1 = raintot_diffs_1000_PMtoAM_and*24\n", + "ax.text(s='{:.0f}'.format(fraction*100.)+'%',x=loc2,y=0.5*(y0+y1),ha='center',va='center',fontsize=fontsize,color='1')\n", + "# andes day\n", + "fraction = and_AMtoPM_diff/and_total_diff\n", + "y0 = raintot_diffs_1000_PMtoAM_and*24\n", + "y1 = (raintot_diffs_1000_PMtoAM_and+raintot_diffs_1000_AMtoPM_and)*24\n", + "ax.text(s='{:.0f}'.format(fraction*100.)+'%',x=loc2,y=0.5*(y0+y1),ha='center',va='center',fontsize=fontsize,color='1')\n", + "\n", + "\n", + "# amazon night\n", + "fraction = -ama_PMtoAM_diff/ama_total_diff\n", + "y0 = 0\n", + "y1 = raintot_diffs_1000_PMtoAM_ama*24\n", + "ax.text(s='{:.0f}'.format(fraction*100.)+'%',x=loc4,y=0.5*(y0+y1),ha='center',va='center',fontsize=fontsize,color='1')\n", + "# amazon day\n", + "fraction = -ama_AMtoPM_diff/ama_total_diff\n", + "y0 = raintot_diffs_1000_PMtoAM_ama*24\n", + "y1 = (raintot_diffs_1000_AMtoPM_ama+raintot_diffs_1000_PMtoAM_ama)*24\n", + "ax.text(s='{:.0f}'.format(fraction*100.)+'%',x=loc4,y=0.5*(y0+y1),ha='center',va='center',fontsize=fontsize,color='1')\n", + "\n", + "\n", + "handles = [mp.Rectangle((0,0),1,1) for i in range(2)]\n", + "colors = [[blue_cmap[-1],blue_cmap[-3]],[orange_cmap[-1],orange_cmap[-3]]]\n", + "hmap = dict(zip(handles, [Handler(color_list[0],color_list[1]) for color_list in colors] ))\n", + "\n", + "labels = ['night', 'day']\n", + "ax.legend(handles=handles, labels=labels, handler_map=hmap, fontsize=fontsize,\\\n", + " loc='upper right', bbox_to_anchor=(.95,.95), borderaxespad=0, labelspacing=0.5, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0.25, handletextpad=0.5)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# big panel plot" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:17:14.986875Z", + "start_time": "2018-08-16T19:17:10.470326Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,4))\n", + "\n", + "gs = matplotlib.gridspec.GridSpec(4,2,width_ratios=[1,2])\n", + "\n", + "\n", + "ax1 = fig.add_subplot(gs[0,1])\n", + "ax1.plot(numpy.arange(raintot_diffs_400_latlon_mean_and.size)-5, raintot_diffs_400_latlon_mean_and,\\\n", + " color='0.1',lw=1,label='cont.')\n", + "ax1.plot(numpy.arange(raintot_diffs_400_latlon_mean_and.size)-5, raintot_diffs_1000_latlon_mean_and,\\\n", + " color='firebrick',lw=1,label='phys.')\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize, rotation=-90)\n", + "ax1.yaxis.set_label_coords(1.1,0.5)\n", + "ax1.yaxis.tick_right()\n", + "ax1.set_xticks(numpy.arange(0,241,24))\n", + "ax1.set_xlim(0,240)\n", + "handles, labels = ax1.get_legend_handles_labels()\n", + "ax1.set_xticks(numpy.arange(15,241,24), minor=True)\n", + "ax1.xaxis.grid(which='minor')\n", + "ax1.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", + "#ax1.set_ylim(-.2,ax1.get_ylim()[1])\n", + "ax1.set_ylim(ax1.get_ylim()[0],1.3)\n", + "\n", + "\n", + "ax2 = fig.add_subplot(gs[1,1], sharex=ax1)\n", + "ax2.plot(numpy.arange(raintot_diffs_400_latlon_mean_and.size)-5, (raintot_diffs_1000_latlon_mean_and-raintot_diffs_400_latlon_mean_and),\\\n", + " color='0.5',lw=1,label='diff.',zorder=3)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize, rotation=-90)\n", + "ax2.yaxis.set_label_coords(1.1,0.5)\n", + "ax2.yaxis.tick_right()\n", + "ax2.set_xticks(numpy.arange(0,241,24))\n", + "#ax2.set_yticks([-.05,0,.05])\n", + "ax2.set_xlim(0,240)\n", + "ax2.axhline(0, lw=1, ls='--', c='0.1')\n", + "ax2.set_xticks(numpy.arange(18,241,24), minor=True)\n", + "ax2.xaxis.grid(which='minor')\n", + "ax2.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", + "ax2.set_ylim(-.15,.15)\n", + "\n", + "ax3 = fig.add_subplot(gs[2,1], sharex=ax1)\n", + "ax3.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, raintot_diffs_400_latlon_mean_ama,\\\n", + " color='0.1',lw=1,label='cont.')\n", + "ax3.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, raintot_diffs_1000_latlon_mean_ama,\\\n", + " color='firebrick',lw=1,label='phys.')\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize, rotation=-90)\n", + "ax3.yaxis.set_label_coords(1.1,0.5)\n", + "ax3.yaxis.tick_right()\n", + "ax3.set_xticks(numpy.arange(0,241,24))\n", + "ax3.set_xlim(0,240)\n", + "ax3.xaxis.grid(which='minor')\n", + "ax3.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", + "handles, labels = ax3.get_legend_handles_labels()\n", + "ax3.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", + " ncol=2, bbox_to_anchor=(.99,.95), bbox_transform=ax3.transAxes, \\\n", + " loc='upper right', borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0.25, columnspacing=0.5, \\\n", + " handletextpad=0.25, markerscale=1)\n", + "ax3.set_xticks(numpy.arange(15,241,24), minor=True)\n", + "\n", + "\n", + "\n", + "ax4 = fig.add_subplot(gs[3,1], sharex=ax1)\n", + "ax4.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, (raintot_diffs_1000_latlon_mean_ama-raintot_diffs_400_latlon_mean_ama),\\\n", + " color='0.5',lw=1,label='diff.')\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize, rotation=-90)\n", + "ax4.yaxis.set_label_coords(1.1,0.5)\n", + "ax4.yaxis.tick_right()\n", + "ax4.set_xticks(numpy.arange(0,241,24))\n", + "ax4.set_xlim(0,240)\n", + "handles, labels = ax4.get_legend_handles_labels()\n", + "ax4.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", + " ncol=1, bbox_to_anchor=(.99,.05), bbox_transform=ax4.transAxes, \\\n", + " loc='lower right', borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0.25, columnspacing=0.5, \\\n", + " handletextpad=0.25, markerscale=1)\n", + "ax4.set_xticks(numpy.arange(15,241,24), minor=True)\n", + "ax4.xaxis.grid(which='minor')\n", + "ax4.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", + "ax4.axhline(0, lw=1, ls='--', c='0.1')\n", + "ax4.set_ylim(ax4.get_ylim()[0],0.13)\n", + "ax4.set_xlabel('hour', fontsize=fontsize)\n", + "#ax4.set_xticklabels(ax4.get_xticks())\n", + "\n", + "################################################################################\n", + "################################################################################\n", + "ax = fig.add_subplot(gs[:,0])\n", + "ax.tick_params(labelsize=fontsize)\n", + "loc1=1\n", + "loc2=2\n", + "loc3=3.25\n", + "loc4=4.25\n", + "barwidth = .85\n", + "\n", + "ax.set_xlim(loc1-.75,loc4+.75)\n", + "ax.bar(loc1,raintot_diffs_400_PMtoAM_and*24.,fc=blue_cmap[-1],width=barwidth)\n", + "ax.bar(loc1,raintot_diffs_400_AMtoPM_and*24.,bottom=raintot_diffs_400_PMtoAM_and*24.,fc=orange_cmap[-1],width=barwidth)\n", + "ax.bar(loc2,raintot_diffs_1000_PMtoAM_and*24.,fc=blue_cmap[-3],width=barwidth)\n", + "ax.bar(loc2,raintot_diffs_1000_AMtoPM_and*24.,bottom=raintot_diffs_1000_PMtoAM_and*24.,fc=orange_cmap[-3],width=barwidth)\n", + "ax.set_xticklabels([])\n", + "ax.set_xticks([loc1,loc2,loc3,loc4])\n", + "ax.bar(loc3,raintot_diffs_400_PMtoAM_ama*24.,fc=blue_cmap[-1],width=barwidth)\n", + "ax.bar(loc3,raintot_diffs_400_AMtoPM_ama*24.,bottom=raintot_diffs_400_PMtoAM_ama*24.,fc=orange_cmap[-1],width=barwidth)\n", + "ax.bar(loc4,raintot_diffs_1000_PMtoAM_ama*24.,fc=blue_cmap[-3],width=barwidth)\n", + "ax.bar(loc4,raintot_diffs_1000_AMtoPM_ama*24.,bottom=raintot_diffs_1000_PMtoAM_ama*24.,fc=orange_cmap[-3],width=barwidth)\n", + "ax.set_yticks([0,2,4,6,8,10])\n", + "ax.set_ylabel('mm day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.set_ylim(0,10)\n", + "\n", + "ax.set_xticklabels(['cont.','phys.','cont.','phys.'])\n", + "ax.text(s='Andes',x=.5*(loc1+loc2),y=-1,fontsize=fontsize,ha='center',va='top')\n", + "ax.text(s='Amazon',x=.5*(loc3+loc4),y=-1,fontsize=fontsize,ha='center',va='top')\n", + "# andes night\n", + "fraction = and_PMtoAM_diff/and_total_diff\n", + "y0 = 0\n", + "y1 = raintot_diffs_1000_PMtoAM_and*24\n", + "ax.text(s='{:.0f}'.format(fraction*100.)+'%',x=loc2,y=0.5*(y0+y1),ha='center',va='center',fontsize=fontsize,color='0.1')\n", + "# andes day\n", + "fraction = and_AMtoPM_diff/and_total_diff\n", + "y0 = raintot_diffs_1000_PMtoAM_and*24\n", + "y1 = (raintot_diffs_1000_PMtoAM_and+raintot_diffs_1000_AMtoPM_and)*24\n", + "ax.text(s='{:.0f}'.format(fraction*100.)+'%',x=loc2,y=0.5*(y0+y1),ha='center',va='center',fontsize=fontsize,color='0.1')\n", + "# amazon night\n", + "fraction = -ama_PMtoAM_diff/ama_total_diff\n", + "y0 = 0\n", + "y1 = raintot_diffs_1000_PMtoAM_ama*24\n", + "ax.text(s='{:.0f}'.format(fraction*100.)+'%',x=loc4,y=0.5*(y0+y1),ha='center',va='center',fontsize=fontsize,color='0.1')\n", + "# amazon day\n", + "fraction = -ama_AMtoPM_diff/ama_total_diff\n", + "y0 = raintot_diffs_1000_PMtoAM_ama*24\n", + "y1 = (raintot_diffs_1000_AMtoPM_ama+raintot_diffs_1000_PMtoAM_ama)*24\n", + "ax.text(s='{:.0f}'.format(fraction*100.)+'%',x=loc4,y=0.5*(y0+y1),ha='center',va='center',fontsize=fontsize,color='0.1')\n", + "\n", + "handles = [mp.Rectangle((0,0),1,1) for i in range(2)]\n", + "colors = [[blue_cmap[-1],blue_cmap[-3]],[orange_cmap[-1],orange_cmap[-3]]]\n", + "hmap = dict(zip(handles, [Handler(color_list[0],color_list[1]) for color_list in colors] ))\n", + "labels = ['night', 'day']\n", + "ax.legend(handles=handles, labels=labels, handler_map=hmap, fontsize=fontsize,\\\n", + " loc='upper right', bbox_to_anchor=(.95,.95), borderaxespad=0, labelspacing=0.5, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0.25, handletextpad=0.5)\n", + "\n", + "mp.setp(ax1.get_xticklabels(), visible=False)\n", + "mp.setp(ax2.get_xticklabels(), visible=False)\n", + "mp.setp(ax3.get_xticklabels(), visible=False)\n", + "\n", + "fig.tight_layout()\n", + "gs.update(hspace=0.,wspace=0.05)\n", + "\n", + "ax1.text(s='Andes', x=285, y=ax1.get_ylim()[0],\\\n", + " ha='center',va='center',rotation=-90, fontsize=fontsize)\n", + "\n", + "ax3.text(s='Amazon', x=285, y=ax3.get_ylim()[0],\\\n", + " ha='center',va='center',rotation=-90, fontsize=fontsize)\n", + "\n", + "\n", + "ax.text(s='(a) Mean regional precip.', x=0, y=1.02, fontsize=fontsize, ha='left', va='bottom', transform=ax.transAxes)\n", + "ax1.text(s='(b)', x=0.055, y=0.95, ha='right', va='top', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(c)', x=0.055, y=0.95, ha='right', va='top', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(d)', x=0.055, y=0.95, ha='right', va='top', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax4.text(s='(e)', x=0.055, y=0.95, ha='right', va='top', fontsize=fontsize, transform=ax4.transAxes)\n", + "\n", + "fig.savefig('precip_change_and_percentages_daynight.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# also do for precip over mountainous areas ONLY" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:04:31.113939Z", + "start_time": "2018-08-16T19:04:31.105815Z" + } + }, + "outputs": [], + "source": [ + "mp.rcParams.update({'mathtext.default': 'regular'})" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:25:33.609541Z", + "start_time": "2018-08-16T19:25:28.973182Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,4))\n", + "\n", + "gs = matplotlib.gridspec.GridSpec(4,2,width_ratios=[1,2.5])\n", + "\n", + "\n", + "ax1 = fig.add_subplot(gs[0,1])\n", + "ax1.plot(numpy.arange(raintot_diffs_400_latlon_mean_and_high.size)-5, raintot_diffs_400_latlon_mean_and_high,\\\n", + " color='0.1',lw=1,label='cont.')\n", + "ax1.plot(numpy.arange(raintot_diffs_400_latlon_mean_and_high.size)-5, raintot_diffs_1000_latlon_mean_and_high,\\\n", + " color='firebrick',lw=1,label='phys.')\n", + "ax1.tick_params(labelsize=fontsize)\n", + "# ax1.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize, rotation=-90)\n", + "ax1.yaxis.set_label_coords(1.1,0.5)\n", + "ax1.yaxis.tick_right()\n", + "ax1.set_xticks(numpy.arange(0,241,24))\n", + "ax1.set_xlim(0,240)\n", + "handles, labels = ax1.get_legend_handles_labels()\n", + "ax1.set_xticks(numpy.arange(15,241,24), minor=True)\n", + "ax1.xaxis.grid(which='minor')\n", + "ax1.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", + "ax1.set_ylim(-.3,ax1.get_ylim()[1])\n", + "#ax1.set_ylim(-.5,ax1.get_ylim()[1])\n", + "\n", + "\n", + "ax2 = fig.add_subplot(gs[1,1], sharex=ax1)\n", + "ax2.plot(numpy.arange(raintot_diffs_400_latlon_mean_and_high.size)-5, (raintot_diffs_1000_latlon_mean_and_high-raintot_diffs_400_latlon_mean_and_high),\\\n", + " color='0.5',lw=1,label='diff.',zorder=3)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "# ax2.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize, rotation=-90)\n", + "ax2.yaxis.set_label_coords(1.1,0.5)\n", + "ax2.yaxis.tick_right()\n", + "ax2.set_xticks(numpy.arange(0,241,24))\n", + "#ax2.set_yticks([-.05,0,.05])\n", + "ax2.set_xlim(0,240)\n", + "ax2.axhline(0, lw=1, ls='--', c='0.1')\n", + "ax2.set_xticks(numpy.arange(18,241,24), minor=True)\n", + "ax2.xaxis.grid(which='minor')\n", + "ax2.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", + "ax2.set_ylim(ax2.get_ylim()[0],.23)\n", + "\n", + "ax3 = fig.add_subplot(gs[2,1], sharex=ax1)\n", + "ax3.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, raintot_diffs_400_latlon_mean_ama,\\\n", + " color='0.1',lw=1,label='cont.')\n", + "ax3.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, raintot_diffs_1000_latlon_mean_ama,\\\n", + " color='firebrick',lw=1,label='phys.')\n", + "ax3.tick_params(labelsize=fontsize)\n", + "# ax3.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize, rotation=-90)\n", + "ax3.yaxis.set_label_coords(1.1,0.5)\n", + "ax3.yaxis.tick_right()\n", + "ax3.set_xticks(numpy.arange(0,241,24))\n", + "ax3.set_xlim(0,240)\n", + "ax3.xaxis.grid(which='minor')\n", + "ax3.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", + "handles, labels = ax3.get_legend_handles_labels()\n", + "ax3.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", + " ncol=2, bbox_to_anchor=(.99,.95), bbox_transform=ax3.transAxes, \\\n", + " loc='upper right', borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0.25, columnspacing=0.5, \\\n", + " handletextpad=0.25, markerscale=1)\n", + "ax3.set_xticks(numpy.arange(15,241,24), minor=True)\n", + "\n", + "\n", + "\n", + "ax4 = fig.add_subplot(gs[3,1], sharex=ax1)\n", + "ax4.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, (raintot_diffs_1000_latlon_mean_ama-raintot_diffs_400_latlon_mean_ama),\\\n", + " color='0.5',lw=1,label='diff.')\n", + "ax4.tick_params(labelsize=fontsize)\n", + "# ax4.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize, rotation=-90)\n", + "ax4.yaxis.set_label_coords(1.1,0.5)\n", + "ax4.yaxis.tick_right()\n", + "ax4.set_xticks(numpy.arange(0,241,24))\n", + "ax4.set_xlim(0,240)\n", + "handles, labels = ax4.get_legend_handles_labels()\n", + "ax4.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", + " ncol=1, bbox_to_anchor=(.99,.05), bbox_transform=ax4.transAxes, \\\n", + " loc='lower right', borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0.25, columnspacing=0.5, \\\n", + " handletextpad=0.25, markerscale=1)\n", + "ax4.set_xticks(numpy.arange(15,241,24), minor=True)\n", + "ax4.xaxis.grid(which='minor')\n", + "ax4.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", + "ax4.axhline(0, lw=1, ls='--', c='0.1')\n", + "ax4.set_ylim(ax4.get_ylim()[0],0.13)\n", + "ax4.set_xlabel('hour', fontsize=fontsize)\n", + "#ax4.set_xticklabels(ax4.get_xticks())\n", + "\n", + "################################################################################\n", + "################################################################################\n", + "\n", + "ax = fig.add_subplot(gs[:,0])\n", + "ax.tick_params(labelsize=fontsize)\n", + "loc1=1\n", + "loc2=2\n", + "loc3=3.25\n", + "loc4=4.25\n", + "barwidth = .9\n", + "\n", + "ax.set_xlim(loc1-.75,loc4+.75)\n", + "ax.bar(loc1,raintot_diffs_400_PMtoAM_and_high*24.,fc=blue_cmap[-1],width=barwidth)\n", + "ax.bar(loc1,raintot_diffs_400_AMtoPM_and_high*24.,bottom=raintot_diffs_400_PMtoAM_and_high*24.,fc=orange_cmap[-1],width=barwidth)\n", + "ax.bar(loc2,raintot_diffs_1000_PMtoAM_and_high*24.,fc=blue_cmap[-3],width=barwidth)\n", + "ax.bar(loc2,raintot_diffs_1000_AMtoPM_and_high*24.,bottom=raintot_diffs_1000_PMtoAM_and_high*24.,fc=orange_cmap[-3],width=barwidth)\n", + "ax.set_xticklabels([])\n", + "ax.set_xticks([loc1,loc2,loc3,loc4])\n", + "ax.bar(loc3,raintot_diffs_400_PMtoAM_ama*24.,fc=blue_cmap[-1],width=barwidth)\n", + "ax.bar(loc3,raintot_diffs_400_AMtoPM_ama*24.,bottom=raintot_diffs_400_PMtoAM_ama*24.,fc=orange_cmap[-1],width=barwidth)\n", + "ax.bar(loc4,raintot_diffs_1000_PMtoAM_ama*24.,fc=blue_cmap[-3],width=barwidth)\n", + "ax.bar(loc4,raintot_diffs_1000_AMtoPM_ama*24.,bottom=raintot_diffs_1000_PMtoAM_ama*24.,fc=orange_cmap[-3],width=barwidth)\n", + "ax.set_yticks([0,5,10,15])\n", + "ax.set_ylabel('mm day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.set_ylim(0,15)\n", + "\n", + "ax.set_xticklabels(['cont.','phys.','cont.','phys.'])\n", + "ax.text(s='Andes',x=.5*(loc1+loc2),y=-1.75,fontsize=fontsize,ha='center',va='top')\n", + "ax.text(s='Amazon',x=.5*(loc3+loc4),y=-1.75,fontsize=fontsize,ha='center',va='top')\n", + "# PHYS RESPONSE\n", + "# andes night\n", + "fraction = raintot_diffs_1000_PMtoAM_and_high/(raintot_diffs_1000_AMtoPM_and_high+raintot_diffs_1000_PMtoAM_and_high)\n", + "y0 = raintot_diffs_1000_PMtoAM_and_high*24\n", + "ax.text(s='${:.0f}$'.format(fraction*100.)+'%',x=loc2,y=0.5*y0,ha='center',va='center',fontsize=fontsize,color='0.1')\n", + "# andes day\n", + "fraction = raintot_diffs_1000_AMtoPM_and_high/(raintot_diffs_1000_AMtoPM_and_high+raintot_diffs_1000_PMtoAM_and_high)\n", + "y0 = raintot_diffs_1000_PMtoAM_and_high*24\n", + "y1 = raintot_diffs_1000_AMtoPM_and_high*24\n", + "ax.text(s='${:.0f}$'.format(fraction*100.)+'%',x=loc2,y=y0+0.5*y1,ha='center',va='center',fontsize=fontsize,color='0.1')\n", + "# amazon night\n", + "fraction = raintot_diffs_1000_PMtoAM_ama/(raintot_diffs_1000_AMtoPM_ama+raintot_diffs_1000_PMtoAM_ama)\n", + "y0 = raintot_diffs_1000_PMtoAM_ama*24\n", + "ax.text(s='${:.0f}$'.format(fraction*100.)+'%',x=loc4,y=0.5*y0,ha='center',va='center',fontsize=fontsize,color='0.1')\n", + "# amazon day\n", + "fraction = raintot_diffs_1000_AMtoPM_ama/(raintot_diffs_1000_AMtoPM_ama+raintot_diffs_1000_PMtoAM_ama)\n", + "y0 = raintot_diffs_1000_PMtoAM_ama*24\n", + "y1 = raintot_diffs_1000_AMtoPM_ama*24\n", + "ax.text(s='${:.0f}$'.format(fraction*100.)+'%',x=loc4,y=y0+0.5*y1,ha='center',va='center',fontsize=fontsize,color='0.1')\n", + "\n", + "# CONTROL\n", + "# andes night\n", + "fraction = raintot_diffs_400_PMtoAM_and_high/(raintot_diffs_400_AMtoPM_and_high+raintot_diffs_400_PMtoAM_and_high)\n", + "y0 = raintot_diffs_400_PMtoAM_and_high*24\n", + "ax.text(s='${:.0f}$'.format(fraction*100.)+'%',x=loc1,y=0.5*y0,ha='center',va='center',fontsize=fontsize,color='0.8')\n", + "# andes day\n", + "fraction = raintot_diffs_400_AMtoPM_and_high/(raintot_diffs_400_AMtoPM_and_high+raintot_diffs_400_PMtoAM_and_high)\n", + "y0 = raintot_diffs_400_PMtoAM_and_high*24\n", + "y1 = raintot_diffs_400_AMtoPM_and_high*24\n", + "ax.text(s='${:.0f}$'.format(fraction*100.)+'%',x=loc1,y=y0+0.5*y1,ha='center',va='center',fontsize=fontsize,color='0.8')\n", + "# amazon night\n", + "fraction = raintot_diffs_400_PMtoAM_ama/(raintot_diffs_400_AMtoPM_ama+raintot_diffs_400_PMtoAM_ama)\n", + "y0 = raintot_diffs_400_PMtoAM_ama*24\n", + "ax.text(s='${:.0f}$'.format(fraction*100.)+'%',x=loc3,y=0.5*y0,ha='center',va='center',fontsize=fontsize,color='0.8')\n", + "# amazon day\n", + "fraction = raintot_diffs_400_AMtoPM_ama/(raintot_diffs_400_AMtoPM_ama+raintot_diffs_400_PMtoAM_ama)\n", + "y0 = raintot_diffs_400_PMtoAM_ama*24\n", + "y1 = raintot_diffs_400_AMtoPM_ama*24\n", + "ax.text(s='${:.0f}$'.format(fraction*100.)+'%',x=loc3,y=y0+0.5*y1,ha='center',va='center',fontsize=fontsize,color='0.8')\n", + "\n", + "# fraction for change\n", + "# fraction = and_high_total_diff/raintot_diffs_400_timemean_and_high\n", + "# y0 = raintot_diffs_400_PMtoAM_and_high*24\n", + "# ax.text(s='${:.0f}$'.format(fraction*100.)+'%\\ninc.',x=loc1,y=y0,ha='center',va='center',fontsize=fontsize,color='.9')\n", + "\n", + "# fraction = -ama_total_diff/raintot_diffs_400_timemean_ama\n", + "# y0 = raintot_diffs_400_PMtoAM_ama*24\n", + "# ax.text(s='${:.0f}$'.format(fraction*100.)+'%\\ndec.',x=loc3,y=y0,ha='center',va='center',fontsize=fontsize,color='.9')\n", + "\n", + "handles = [mp.Rectangle((0,0),1,1) for i in range(2)]\n", + "colors = [[blue_cmap[-1],blue_cmap[-3]],[orange_cmap[-1],orange_cmap[-3]]]\n", + "hmap = dict(zip(handles, [Handler(color_list[0],color_list[1]) for color_list in colors] ))\n", + "labels = ['night', 'day']\n", + "ax.legend(handles=handles, labels=labels, handler_map=hmap, fontsize=fontsize,\\\n", + " loc='upper right', bbox_to_anchor=(.95,.95), borderaxespad=0, labelspacing=0.5, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0.25, handletextpad=0.5)\n", + "\n", + "mp.setp(ax1.get_xticklabels(), visible=False)\n", + "mp.setp(ax2.get_xticklabels(), visible=False)\n", + "mp.setp(ax3.get_xticklabels(), visible=False)\n", + "\n", + "#================================================================================\n", + "fig.tight_layout()\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax4pos = ax4.get_position()\n", + "fig.text(s='mm hour$^{-1}$', x=ax1pos.x1+0.05, y=ax4pos.y0+(ax1pos.y1-ax4pos.y0)*0.5,\\\n", + " fontsize=fontsize, rotation=-90, transform=fig.transFigure, va='center', ha='left')\n", + "\n", + "gs.update(hspace=0.,wspace=0.05)\n", + "\n", + "ax1.text(s='Andes', x=275, y=ax1.get_ylim()[0],\\\n", + " ha='center',va='center',rotation=-90, fontsize=fontsize)\n", + "\n", + "ax3.text(s='Amazon', x=275, y=ax3.get_ylim()[0],\\\n", + " ha='center',va='center',rotation=-90, fontsize=fontsize)\n", + "\n", + "\n", + "ax.text(s='(a) Mean regional precip.', x=0, y=1.02, fontsize=fontsize, ha='left', va='bottom', transform=ax.transAxes)\n", + "ax1.text(s='(b)', x=0.055, y=0.95, ha='right', va='top', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(c)', x=0.055, y=0.95, ha='right', va='top', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(d)', x=0.055, y=0.95, ha='right', va='top', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax4.text(s='(e)', x=0.055, y=0.95, ha='right', va='top', fontsize=fontsize, transform=ax4.transAxes)\n", + "\n", + "fig.savefig('figures/precip_change_and_high_percentages_daynight_high_andes_figure_4.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:07:31.598831Z", + "start_time": "2018-08-16T19:07:27.145557Z" + } + }, + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,4))\n", + "\n", + "gs = matplotlib.gridspec.GridSpec(4,2,width_ratios=[1,2.5])\n", + "\n", + "\n", + "ax1 = fig.add_subplot(gs[0,1])\n", + "ax1.plot(numpy.arange(raintot_diffs_400_latlon_mean_and_high.size)-5, raintot_diffs_400_latlon_mean_and_high,\\\n", + " color='0.1',lw=1,label='cont.')\n", + "ax1.plot(numpy.arange(raintot_diffs_400_latlon_mean_and_high.size)-5, raintot_diffs_1000_latlon_mean_and_high,\\\n", + " color='firebrick',lw=1,label='phys.')\n", + "ax1.tick_params(labelsize=fontsize)\n", + "# ax1.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize, rotation=-90)\n", + "ax1.yaxis.set_label_coords(1.1,0.5)\n", + "ax1.yaxis.tick_right()\n", + "ax1.set_xticks(numpy.arange(0,241,24))\n", + "ax1.set_xlim(0,240)\n", + "handles, labels = ax1.get_legend_handles_labels()\n", + "ax1.set_xticks(numpy.arange(15,241,24), minor=True)\n", + "ax1.xaxis.grid(which='minor')\n", + "ax1.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", + "ax1.set_ylim(-.3,ax1.get_ylim()[1])\n", + "#ax1.set_ylim(-.5,ax1.get_ylim()[1])\n", + "\n", + "\n", + "ax2 = fig.add_subplot(gs[1,1], sharex=ax1)\n", + "ax2.plot(numpy.arange(raintot_diffs_400_latlon_mean_and_high.size)-5, (raintot_diffs_1000_latlon_mean_and_high-raintot_diffs_400_latlon_mean_and_high),\\\n", + " color='0.5',lw=1,label='diff.',zorder=3)\n", + "ax2.tick_params(labelsize=fontsize)\n", + "# ax2.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize, rotation=-90)\n", + "ax2.yaxis.set_label_coords(1.1,0.5)\n", + "ax2.yaxis.tick_right()\n", + "ax2.set_xticks(numpy.arange(0,241,24))\n", + "#ax2.set_yticks([-.05,0,.05])\n", + "ax2.set_xlim(0,240)\n", + "ax2.axhline(0, lw=1, ls='--', c='0.1')\n", + "ax2.set_xticks(numpy.arange(18,241,24), minor=True)\n", + "ax2.xaxis.grid(which='minor')\n", + "ax2.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", + "ax2.set_ylim(ax2.get_ylim()[0],.23)\n", + "\n", + "ax3 = fig.add_subplot(gs[2,1], sharex=ax1)\n", + "ax3.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, raintot_diffs_400_latlon_mean_ama,\\\n", + " color='0.1',lw=1,label='cont.')\n", + "ax3.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, raintot_diffs_1000_latlon_mean_ama,\\\n", + " color='firebrick',lw=1,label='phys.')\n", + "ax3.tick_params(labelsize=fontsize)\n", + "# ax3.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize, rotation=-90)\n", + "ax3.yaxis.set_label_coords(1.1,0.5)\n", + "ax3.yaxis.tick_right()\n", + "ax3.set_xticks(numpy.arange(0,241,24))\n", + "ax3.set_xlim(0,240)\n", + "ax3.xaxis.grid(which='minor')\n", + "ax3.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", + "handles, labels = ax3.get_legend_handles_labels()\n", + "ax3.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", + " ncol=2, bbox_to_anchor=(.99,.95), bbox_transform=ax3.transAxes, \\\n", + " loc='upper right', borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0.25, columnspacing=0.5, \\\n", + " handletextpad=0.25, markerscale=1)\n", + "ax3.set_xticks(numpy.arange(15,241,24), minor=True)\n", + "\n", + "\n", + "\n", + "ax4 = fig.add_subplot(gs[3,1], sharex=ax1)\n", + "ax4.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, (raintot_diffs_1000_latlon_mean_ama-raintot_diffs_400_latlon_mean_ama),\\\n", + " color='0.5',lw=1,label='diff.')\n", + "ax4.tick_params(labelsize=fontsize)\n", + "# ax4.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize, rotation=-90)\n", + "ax4.yaxis.set_label_coords(1.1,0.5)\n", + "ax4.yaxis.tick_right()\n", + "ax4.set_xticks(numpy.arange(0,241,24))\n", + "ax4.set_xlim(0,240)\n", + "handles, labels = ax4.get_legend_handles_labels()\n", + "ax4.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", + " ncol=1, bbox_to_anchor=(.99,.05), bbox_transform=ax4.transAxes, \\\n", + " loc='lower right', borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0.25, columnspacing=0.5, \\\n", + " handletextpad=0.25, markerscale=1)\n", + "ax4.set_xticks(numpy.arange(15,241,24), minor=True)\n", + "ax4.xaxis.grid(which='minor')\n", + "ax4.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", + "ax4.axhline(0, lw=1, ls='--', c='0.1')\n", + "ax4.set_ylim(ax4.get_ylim()[0],0.13)\n", + "ax4.set_xlabel('hour', fontsize=fontsize)\n", + "#ax4.set_xticklabels(ax4.get_xticks())\n", + "\n", + "################################################################################\n", + "################################################################################\n", + "\n", + "ax = fig.add_subplot(gs[:,0])\n", + "ax.tick_params(labelsize=fontsize)\n", + "loc1=1\n", + "loc2=2\n", + "loc3=3.25\n", + "loc4=4.25\n", + "barwidth = .9\n", + "\n", + "ax.set_xlim(loc1-.75,loc4+.75)\n", + "ax.bar(loc1,raintot_diffs_400_PMtoAM_and_high*24.,fc=blue_cmap[-1],width=barwidth)\n", + "ax.bar(loc1,raintot_diffs_400_AMtoPM_and_high*24.,bottom=raintot_diffs_400_PMtoAM_and_high*24.,fc=orange_cmap[-1],width=barwidth)\n", + "ax.bar(loc2,raintot_diffs_1000_PMtoAM_and_high*24.,fc=blue_cmap[-3],width=barwidth)\n", + "ax.bar(loc2,raintot_diffs_1000_AMtoPM_and_high*24.,bottom=raintot_diffs_1000_PMtoAM_and_high*24.,fc=orange_cmap[-3],width=barwidth)\n", + "ax.set_xticklabels([])\n", + "ax.set_xticks([loc1,loc2,loc3,loc4])\n", + "ax.bar(loc3,raintot_diffs_400_PMtoAM_ama*24.,fc=blue_cmap[-1],width=barwidth)\n", + "ax.bar(loc3,raintot_diffs_400_AMtoPM_ama*24.,bottom=raintot_diffs_400_PMtoAM_ama*24.,fc=orange_cmap[-1],width=barwidth)\n", + "ax.bar(loc4,raintot_diffs_1000_PMtoAM_ama*24.,fc=blue_cmap[-3],width=barwidth)\n", + "ax.bar(loc4,raintot_diffs_1000_AMtoPM_ama*24.,bottom=raintot_diffs_1000_PMtoAM_ama*24.,fc=orange_cmap[-3],width=barwidth)\n", + "ax.set_yticks([0,5,10,15])\n", + "ax.set_ylabel('mm day$^{\\,-1}$', fontsize=fontsize)\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.set_ylim(0,15)\n", + "\n", + "ax.set_xticklabels(['cont.','phys.','cont.','phys.'])\n", + "ax.text(s='Andes',x=.5*(loc1+loc2),y=-1.75,fontsize=fontsize,ha='center',va='top')\n", + "ax.text(s='Amazon',x=.5*(loc3+loc4),y=-1.75,fontsize=fontsize,ha='center',va='top')\n", + "# PHYS RESPONSE\n", + "# andes night\n", + "fraction = and_high_PMtoAM_diff/and_high_total_diff\n", + "y0 = raintot_diffs_1000_PMtoAM_and_high*24\n", + "ax.text(s='${:.0f}$'.format(fraction*100.)+'%',x=loc2,y=0.5*y0,ha='center',va='center',fontsize=fontsize,color='0.1')\n", + "# andes day\n", + "fraction = and_high_AMtoPM_diff/and_high_total_diff\n", + "y0 = raintot_diffs_1000_PMtoAM_and_high*24\n", + "y1 = raintot_diffs_1000_AMtoPM_and_high*24\n", + "ax.text(s='${:.0f}$'.format(fraction*100.)+'%',x=loc2,y=y0+0.5*y1,ha='center',va='center',fontsize=fontsize,color='0.1')\n", + "# amazon night\n", + "fraction = ama_PMtoAM_diff/ama_total_diff\n", + "y0 = raintot_diffs_1000_PMtoAM_ama*24\n", + "ax.text(s='${:.0f}$'.format(fraction*100.)+'%',x=loc4,y=0.5*y0,ha='center',va='center',fontsize=fontsize,color='0.1')\n", + "# amazon day\n", + "fraction = ama_AMtoPM_diff/ama_total_diff\n", + "y0 = raintot_diffs_1000_PMtoAM_ama*24\n", + "y1 = raintot_diffs_1000_AMtoPM_ama*24\n", + "ax.text(s='${:.0f}$'.format(fraction*100.)+'%',x=loc4,y=y0+0.5*y1,ha='center',va='center',fontsize=fontsize,color='0.1')\n", + "\n", + "# CONTROL\n", + "# andes night\n", + "fraction = and_high_PMtoAM_diff/and_high_total_diff\n", + "y0 = raintot_diffs_400_PMtoAM_and_high*24\n", + "ax.text(s='${:.0f}$'.format(fraction*100.)+'%',x=loc1,y=0.5*y0,ha='center',va='center',fontsize=fontsize,color='0.1')\n", + "# andes day\n", + "fraction = and_high_AMtoPM_diff/and_high_total_diff\n", + "y0 = raintot_diffs_400_PMtoAM_and_high*24\n", + "y1 = raintot_diffs_400_AMtoPM_and_high*24\n", + "ax.text(s='${:.0f}$'.format(fraction*100.)+'%',x=loc1,y=y0+0.5*y1,ha='center',va='center',fontsize=fontsize,color='0.1')\n", + "# amazon night\n", + "fraction = ama_PMtoAM_diff/ama_total_diff\n", + "y0 = raintot_diffs_400_PMtoAM_ama*24\n", + "ax.text(s='${:.0f}$'.format(fraction*100.)+'%',x=loc3,y=0.5*y0,ha='center',va='center',fontsize=fontsize,color='0.1')\n", + "# amazon day\n", + "fraction = ama_AMtoPM_diff/ama_total_diff\n", + "y0 = raintot_diffs_400_PMtoAM_ama*24\n", + "y1 = raintot_diffs_400_AMtoPM_ama*24\n", + "ax.text(s='${:.0f}$'.format(fraction*100.)+'%',x=loc3,y=y0+0.5*y1,ha='center',va='center',fontsize=fontsize,color='0.1')\n", + "\n", + "\n", + "# fraction for change\n", + "# fraction = and_high_total_diff/raintot_diffs_400_timemean_and_high\n", + "# y0 = raintot_diffs_400_PMtoAM_and_high*24\n", + "# ax.text(s='${:.0f}$'.format(fraction*100.)+'%\\ninc.',x=loc1,y=y0,ha='center',va='center',fontsize=fontsize,color='.9')\n", + "\n", + "# fraction = -ama_total_diff/raintot_diffs_400_timemean_ama\n", + "# y0 = raintot_diffs_400_PMtoAM_ama*24\n", + "# ax.text(s='${:.0f}$'.format(fraction*100.)+'%\\ndec.',x=loc3,y=y0,ha='center',va='center',fontsize=fontsize,color='.9')\n", + "\n", + "handles = [mp.Rectangle((0,0),1,1) for i in range(2)]\n", + "colors = [[blue_cmap[-1],blue_cmap[-3]],[orange_cmap[-1],orange_cmap[-3]]]\n", + "hmap = dict(zip(handles, [Handler(color_list[0],color_list[1]) for color_list in colors] ))\n", + "labels = ['night', 'day']\n", + "ax.legend(handles=handles, labels=labels, handler_map=hmap, fontsize=fontsize,\\\n", + " loc='upper right', bbox_to_anchor=(.95,.95), borderaxespad=0, labelspacing=0.5, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0.25, handletextpad=0.5)\n", + "\n", + "mp.setp(ax1.get_xticklabels(), visible=False)\n", + "mp.setp(ax2.get_xticklabels(), visible=False)\n", + "mp.setp(ax3.get_xticklabels(), visible=False)\n", + "\n", + "#================================================================================\n", + "fig.tight_layout()\n", + "\n", + "ax1pos = ax1.get_position()\n", + "ax4pos = ax4.get_position()\n", + "fig.text(s='mm hour$^{-1}$', x=ax1pos.x1+0.05, y=ax4pos.y0+(ax1pos.y1-ax4pos.y0)*0.5,\\\n", + " fontsize=fontsize, rotation=-90, transform=fig.transFigure, va='center', ha='left')\n", + "\n", + "gs.update(hspace=0.,wspace=0.05)\n", + "\n", + "ax1.text(s='Andes', x=275, y=ax1.get_ylim()[0],\\\n", + " ha='center',va='center',rotation=-90, fontsize=fontsize)\n", + "\n", + "ax3.text(s='Amazon', x=275, y=ax3.get_ylim()[0],\\\n", + " ha='center',va='center',rotation=-90, fontsize=fontsize)\n", + "\n", + "\n", + "ax.text(s='(a) Mean regional precip.', x=0, y=1.02, fontsize=fontsize, ha='left', va='bottom', transform=ax.transAxes)\n", + "ax1.text(s='(b)', x=0.055, y=0.95, ha='right', va='top', fontsize=fontsize, transform=ax1.transAxes)\n", + "ax2.text(s='(c)', x=0.055, y=0.95, ha='right', va='top', fontsize=fontsize, transform=ax2.transAxes)\n", + "ax3.text(s='(d)', x=0.055, y=0.95, ha='right', va='top', fontsize=fontsize, transform=ax3.transAxes)\n", + "ax4.text(s='(e)', x=0.055, y=0.95, ha='right', va='top', fontsize=fontsize, transform=ax4.transAxes)\n", + "\n", + "fig.savefig('precip_change_and_high_percentages_daynight_high_andes_figure_4.png', dpi=600, bbox_inches='tight', transparent=True)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:54:35.068566Z", + "start_time": "2018-08-16T18:54:34.761828Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,3))\n", + "\n", + "ax = fig.add_subplot(111)\n", + "\n", + "ax.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, raintot_diffs_400_latlon_mean_ama,\\\n", + " color='0.1',lw=2,label='cont.')\n", + "ax.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, raintot_diffs_1000_latlon_mean_ama,\\\n", + " color='firebrick',lw=2,label='phys.')\n", + "\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_xlabel('hour', fontsize=fontsize)\n", + "\n", + "ax.set_xticks(numpy.arange(0,241,24))\n", + "ax.set_yticks([0,.2,.4,.6,.8,1])\n", + "ax.set_xlim(0,240)\n", + "ax.set_ylim(0,1)\n", + "\n", + "handles, labels = ax.get_legend_handles_labels()\n", + "ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", + " ncol=1, bbox_to_anchor=(.99,.95), bbox_transform=ax.transAxes, \\\n", + " loc='upper right', borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0.25, columnspacing=0.5, \\\n", + " handletextpad=0.25, markerscale=1)\n", + "\n", + "ax.set_xticks(numpy.arange(15,241,24), minor=True)\n", + "#ax.set_xticks(numpy.arange(20,241,24), minor=True)\n", + "#ax.minorticks_off()\n", + "ax.xaxis.grid(which='minor')\n", + "\n", + "ax.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:54:35.373553Z", + "start_time": "2018-08-16T18:54:35.077083Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,3))\n", + "\n", + "ax = fig.add_subplot(111)\n", + "\n", + "ax.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, raintot_diffs_1000_latlon_mean_ama-raintot_diffs_400_latlon_mean_ama,\\\n", + " color='0.1',lw=2,label='diff.')\n", + "# ax.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, raintot_diffs_1000_latlon_mean_ama,\\\n", + "# color='firebrick',lw=2,label='phys.')\n", + "\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_xlabel('hour', fontsize=fontsize)\n", + "\n", + "ax.set_xticks(numpy.arange(0,241,24))\n", + "#ax.set_yticks([0,.2,.4,.6,.8])\n", + "ax.set_xlim(0,240)\n", + "#ax.set_ylim(0,.85)\n", + "\n", + "handles, labels = ax.get_legend_handles_labels()\n", + "ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", + " ncol=1, bbox_to_anchor=(.99,.95), bbox_transform=ax.transAxes, \\\n", + " loc='upper right', borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0.25, columnspacing=0.5, \\\n", + " handletextpad=0.25, markerscale=1)\n", + "\n", + "ax.set_xticks(numpy.arange(15,241,24), minor=True)\n", + "#ax.minorticks_off()\n", + "ax.xaxis.grid(which='minor')\n", + "\n", + "ax.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", + "ax.axhline(0, lw=1, ls='--', c='0.1')" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:54:35.675638Z", + "start_time": "2018-08-16T18:54:35.382230Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,2))\n", + "\n", + "ax = fig.add_subplot(111)\n", + "\n", + "ax.plot(numpy.arange(raintot_diffs_400_latlon_mean_and.size)-5, raintot_diffs_400_latlon_mean_and,\\\n", + " color='0.1',lw=2,label='cont.',zorder=3)\n", + "ax.plot(numpy.arange(raintot_diffs_400_latlon_mean_and.size)-5, raintot_diffs_1000_latlon_mean_and,\\\n", + " color='firebrick',lw=2,label='phys.')\n", + "\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_xlabel('hour', fontsize=fontsize)\n", + "\n", + "ax.set_xticks(numpy.arange(0,241,24))\n", + "ax.set_yticks([0,.2,.4,.6,.8,1])\n", + "ax.set_xlim(0,240)\n", + "ax.set_ylim(0.1,1.1)\n", + "\n", + "handles, labels = ax.get_legend_handles_labels()\n", + "ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", + " ncol=1, bbox_to_anchor=(.99,.95), bbox_transform=ax.transAxes, \\\n", + " loc='upper right', borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0.25, columnspacing=0.5, \\\n", + " handletextpad=0.25, markerscale=1)\n", + "\n", + "ax.set_xticks(numpy.arange(10,241,24), minor=True)\n", + "ax.xaxis.grid(which='minor')\n", + "\n", + "ax.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T18:54:35.963366Z", + "start_time": "2018-08-16T18:54:35.684089Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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mz59f5nvl5+dzxx13MHfu3Cq3UwkCX0UJnM0rWbhwod95McpT0rhxY7OyZ//+/S77/80330y/fv28XqGuXbuW5557DoCioiKfciCcTqcpYK6//npGjRplljp/9tlnVVbNUhWUFb4Bo+W/w+Hgm2++qdS5Tnk7GjZsaD52zTXX8Mgjj9CxY0fAe9JrZUQJnN3fAhXCyc/PZ9++fQghCA83JsDcf//9xMTEeNx+8ODBfPvtt1x88cWkp6dzyy231IjGnFqUBICCggKOHz+Ow+GgQ4cOgOFdCAWUKMnLy/N61alEiZq+uXbtWvLz8zl9+jQrVqxACGHOWZg9e3ZIha9qMhs3bqSgoID27dsTFxfn8lxMTAxffPEFw4cPJz8/nxdeeKHMhmq//vor3333HW+//XaV2lhcXGwuTL7mlADcfvvthIWF8Y9//IOHHnrIrwVd7c8JCQlER0fTtGlTiouLzWP20KFDbN26lezsbLPFvZWioiLGjx9vNhcD2LlzZ7mfu3HjRtasWUODBg148cUXAbjoooto0aIFx44d44cffvD5O1Q35YmShIQE+vTpQ2FhIYsWLarw53gSJQpViaNyTtypTKIrBF6U7N27l+LiYpo3b878+fMZO3as2RTQG/Hx8Xz00Ue0adOGU6dOef1bhBJalAQAlT2vyuUg9EQJ4LUsUp3EO3bsSNu2bcnLy2PdunUsX76cgoICunXrxsSJExkyZAh5eXm89tprAbG9Otm2bVvIz6JQoRtrPomVpk2b8tZbb9GiRQvy8/PLXFjVInXo0CFOnz7tcZtDhw753Sk2PT2dgoIC4uPjqVWrls+v69+/P/Pnzyc2NpZPP/2U//znPz6/1ppTAmerfpQb/6effjK3/eijj0p5YjZs2EB6ejrJycmMHTsW8E2ULF++HDASGc877zzANRQyffr0oFaDWCkrp0RRFSGcskRJmzZtAM+ekoKCAo4cOYLD4TB/R38JtChRVUatWrWib9++PPfcc169JFYiIyPNPKpAJ+ZWB1qUBAB1kmvUqJGZCV6TRIk6WSckJJgjsefNm8e3334LwIABAwAjDhoREcHHH38c0l0yv/jiCwYOHMiUKVOCbUqFKS4uNltVX3bZZWVu26VLFwA2b97sdRvrADZPA9O2bNnCpZde6vf4c3/zSaz069ePxx9/HMCvttzW8A1ASkoK4FmU7Nq1y8wDUKj9/uqrrzY9o76IEuUJ6dOnj8vjN998M40bN2bbtm0MGDDAFv1jysopUQwcOJC6deuyZcsWn76/J1QIpixPiSdRsnfvXqSUNG7c2AyF+EswRYm/KC+iSgoPZbQoCQDWk5zKBD9+/HgwTfKJgoICl6ve8jwlTZo04a677iIyMpL//e9/fPnllwBmJUdKSgr9+/evloFdgWT27NmAUS4dSuV4Ukr27dvHokWLGDx4MOvWrSMyMrJUPok7nTt3BuDnn3/2uo3q8AmeF4lPPvmE4uJiNm7c6FeOh/vMG39Rgkt5hXzBKrLhrKdEHcdKlKhw5ezZs3n//fdZsmQJgIsYb9u2LeBdlCxcuJBvv/2W7OxsNm3aRFhYWKmk40aNGvHtt98ybNgw8vLymDFjhsf3OnLkCDfffDNLly71+bv6gtPpLHURVV74Boz8uWHDhgEV95b4Er5JTU0tdRyqHinuf0t/CCVREmhbqxMtSgKA1VOi4puh4Ck5efIkgNlFc9u2bR4XFKsoadSoESNHjkRKyalTp2jWrJl5YoayXa6hwKZNm0xBdfz48VJXyXbm7rvvpmfPnowfP55t27bRpEkT3nnnHTNU4A0lSpSnZM2aNaV+P6socfeUSCnNBTsrK8uvqzm1mKvSXH/p0KEDderUYe/evT53UnYP36jPTk9P5+TJk+zYsYPIyEimTp0KwKJFi3jiiSe46667+PDDD9m1axd16tTh4osvJjk5mcjISPbv31+q8mzr1q1MnDiR++67j/fff5/i4mK6detmTt21ct555/Hyyy8DnhdhgG+++YYVK1awcOFCH/86vvHmm2/SuXNnfvzxR/MxX8I3cDaE88knn1QoUbcsUVKvXj0SEhLIy8tz6f1UXFxstma/+eab/f5MhVroA+XVVcnQ2lOiqXasJznlKQkFUaJCN8nJycTFxZGZmemxPM4qSgDGjh1rtnW+6qqrXFo8h7oomTdvHnC2iko1ldu1a5ety7yPHj3KkiVLCA8Pp1+/fkyaNIkVK1Zw9dVXl/vaCy+8EIfDwc6dO1m3bh0jRoxg3LhxLtuU5Sn59ddfXcqK/RnWpnreXHjhhT6/xkpYWJg5JM4Xb0lubi5ZWVlERkZSv359wDV8s27dOqSUdOnShc6dO3PDDTfQpEkT02syYcIEwAjBREREEBERYTZgc09CVD1gCgoKTIFzxRVXeLWtfv36NGrUiNzcXI8NGFViZ1WXsH722WeA69gBX8I3AN26dSM5OZmjR4+ydetWvz63sLCQ9PR0hBA0aNDA4zaekl2XL1/O4cOHSU5OrpSnpFGjRsTExHDy5Mkqq2r5+uuvGThwYKnGflJKU8yr/cUflICq0aJECPG1EGKfEGKFEGJ5yW2FEGJ5IA2sCVjDN8pTcvz4cdt3PlWipH79+uZIePcQjpSylChp1aoV1113HYD5r8Kf2RV24/jx43zxxRcIIXjmmWcAWLp0KX//+9/p16+fubDYEZVE2bt3b9577z0eeOABn5LowKjEadu2LcXFxUyYMMEMA1mx5pS4L75qMVNCzldRIqU0++NUVJTAWRe+L6LE2qNEienzzz8fIQTHjh0zhYQKec2cOZP169fz2Wef0aFDB9OTqPKoAK8hHPVeDofDfF1ZogTOinpP4SAlStxL9CvDwYMHzcVSeQillObv7cmrY0UIYebV+OtxSE9Px+l0lpkX4ukiR83fGjVqFA5Hxa+7hRBVvtjPmTOHbdu2MXnyZBev85EjRzh9+jT169cv13PpiSZNmhAeHk56enrIJ+CX9YtdA2QDA6SUV5Tcekspyz5qNKVQvQwaNWpErVq1aNKkCUVFRbbJpPeGVZSoE4v71c6JEyfIz8+nbt26LtURr7/+OitWrDCvUhXWtt129ix4YvHixRQUFNCvXz9uueUWoqOj2bJlC6+88goA7733nhnyshvekih9RYVw1Mk/JyfHpZLG6inZu3evy7RoJUrUoL9169b59Jn79+8nKyuLBg0aVLiCAs5WF6nutWXhnuQKhphq3rw5Ukr+9a9/AZTKw4mIiOD1118nPDyc8PBw+vfvbz7nSZTs2bOHHTt2UKdOHSZNmgQYoRD1d/ZGWZ5GFZ7KyMiosmndSsyC4bUqKCggLy+PwsJCoqKiTKFZFsrTVJ4oWbNmjcuQOeUNKquk191TsmjRIpYsWYLD4TBDR5VBhUWqIoSTl5dnCrsff/yR5cuX88477zB8+HCzbLoioRswujArL3wojTHxhFdRIqV0AjdJKfUs+krinjinFni7tY52xypKOnXqBJQWJe5eEkVUVJTHPIDY2FiaNWtGUVFRUOZKDB06tFQjsIKCAiZOnOix54SVZcuWAUbzppiYGDOJUvWjyM3NteWUZKfTaS4uFRUl6ve3YnVpW0WJ0+k0BffBgwfZtm0btWrVYvz48YSFhbFjxw6X7b1hDd34O+XVSseOHYmNjWXPnj0u4x484X6sKqZPn0737t2pW7cuzZo145JLLin12gsvvJAPP/yQhQsXuoQbPIkSJdSuvPJK7rnnHh555BGmT59ebqWIL54SoNzv6SvW3ij5+fls377d53wShfI2lHcRNn78eO69916zH5IvbeLV3+O7777jlltuYfz48RQWFjJmzJhS56SKUFFPSX5+Pj/88IOLN3zz5s3k5eWZ9++77z6mTJnC2rVrzUq+iooSq62hnuxapm9LSmnvVTNEsCa6wllRYvdx6J5EiXtipzdRUhbByit57bXX2LRpE0uWLHE5QS5dupSFCxfy4IMPsmjRIpxOJzt27CAnJ8fcpqCgwGyfrxZ2VVXUvn17s1PtP/7xD1t13gRD/GZkZJCQkGBeWfqLKgsGzLCP1SukREZsbCxw9rdVybGXXHIJ9erVIzk52efqK3V8VCZ0A4YXQ3k2rMmanrCGb6z06tWLRx99lG3btrFmzRpq167t8fWXXXZZqRCMEiW//vqruUip0M2gQYMIDw9nwoQJXHvtteV+F2/HjpTSJZekKkI41rLx7t27A0YIx5fKGyuqeqmsxbKwsNA8T6qkaF9ESbt27YiOjiYjI4Ply5cTHR3NK6+8YjafqyzexgyUx+zZs7n11ltNzxqc9dSpEu8zZ84QHR3tIvgrI0pqSrKrzwE3IcTk6jSkpiKlNE/eKlao8jPs7ilRdtevX58WLVpQu3ZtswJBYe1+6SvqwAukKNm2bZtLVYL1/1YX9SOPPEKvXr248sorufvuu8247/r16zlz5gxt27Y13cm33HIL06dP5/3332fgwIG0aNGCQ4cO+dWoKxBYvSQV9Th06NCBK6+8ktGjR5st3D2JEvcwj1qIlNdMLaq+5JUoT4kS8ZVBCYXypl27V964ExYW5vffMCkpiWbNmnHs2DG+/PJLUlNTWb9+PZGRkfTr18+v97KGK6wVOJmZmS5X4ZVJdj19+jSLFi3i008/5eTJkyQlJXHDDTcARtfZinpKylrYrf2QlGBT4aiyREm9evX48ssvefvtt5k1axbff/89d9xxR6U8a1aUKPE31K7E+MaNG83HVE5Tv379mDFjBldddRWffvopH3/8sSn6u3XrVmFbzwlPiRsDyt9E405eXh5Op5OoqChz0qM1fCOl5M9//jPTpk2z3bA6q6fE4XCYsyasB2hFPCWBTnZV0zSdTie9e/cGjE6cKiHMmgRaUFBgXmmsWLHCnHKqQjd9+/Y13zciIoLbbruNRo0a4XA4zO6dTz/9tK3aPVc2nwSMmPWCBQuYNm2a2ZLeupCoq2d1UlW/rVqI1MldeQ0++eQTl0VUsX//fp577jm2bt1a6cobK1deeSUA33//fZkJ5t7CN5XB4XDwhz/8AYA33niDSZMmIaXkpptu8upx8cZ5551HfHw8ubm5LiXO7uXOlfGUvPHGG4wfP55HHnkEMASd+l03btzoc+WNokmTJkRFRZGRkeG12691Ps769es5duyYz1N+27Zty7XXXst1111X4X423lD5MP6KEhWCUsdBQUGBKcQvvfRSrrjiCubNm0fnzp2pXbs2n376Kd99912pHDx/UN/9XBIlmgqghIY1CbR58+ZER0eTnp7OkiVL+Otf/8rMmTO5+uqrbdVUzCpK4GxegXUGjjpYKyJKPHX+rA727t3LunXrqFevHrNnz6ZFixacPHmSL774gv3795OWlkbdunVZsGABM2bM4IMPPjCra15++WWcTqcpTqyixJ3bbruNwYMHk52dzR133GGOFwgmhYWF5snw8ssvr5L3VKLEk6dELV5KlLmLkq5du9KmTRvS0tKYNWuWy/uuXbuWwYMH8+677zJixAjS09OpVauWuTBUhpYtW5KUlMSJEyfK7EzrLXxTWUaNGkVCQgLbt29n5cqVxMXF8eSTT1bovTzllbjPk6rMfCl1Rd+4cWNq1arFTTfdZIZJ9uzZY4p2Xz0lDoejXG+JtZmklJJvvvnGZ1FSnTRt2pSIiAi/qlqKi4vN7/nbb78hpWTLli3k5eXRpk0bjz1XoqKiXPo5VYSaUhbsjyipGn/YOYa6MrCKEofDYapaleAUHR1NWloao0eP9ngFGQzcRYlyzasDrqioyPQyeEr884Y1fBOIjqiqR0a7du2oW7euWa7597//3ey+2atXLyIjIxk5ciR9+vTh7rvvJjExke3btzN27Fh+/fVXYmJiyux+6nA4ePPNN+nSpQsHDhywxYyf7du3k5eXR0pKitdeD/6iRImnRNfu3bsjhGD37t0UFBSUahMfHh7OtGnTAKOcNjU1FSklc+fOZdSoUWRmZtKwYUPzuGnfvn2lyjoVQgizIqasEE5lO8h6IyoqigceeMC8P3HixAqVfoLnvBIlQtRv48lTcuDAAa677jqXNvnuFBYWmmHl7777jp07d9KtWzciIiJMT6k6Znx73x4pAAAgAElEQVQVJVB+CEd5SlSi75QpU9izZw8RERFBFSXh4eHmvuCrt+TgwYNmZdrJkyfJzs4280m8zZmqCqyeEn8nY9sJf472L6vNihqMOrm6u2ndS80WL15Mhw4dyMzMNNuzB5vyPCUbNmzg5MmTpKSk+JWgVb9+fdMFHYiJwe7TQnv27ElKSgqpqam89NJLQGkvQnR0tNkIS5UpXnHFFeWWQMbExJhtwD/77DOv7upAoWLaF110UZW9p7unJD8/n/z8fMLDw6lfvz7JyckUFRWxfft2Dh06hMPhcFlYLr30Um666Sby8/MZMGAAV111FZMnT6awsJD77ruPtWvXmknEKsGyKihPlJw+fZojR44QFRVV4cmyZXHbbbfRqVMn+vXrx6233lrh9ynLU6J+Z0+iZPHixaxfv95sAOiJnTt3kpeXZzZMtOZmqBCYCmX6Gr6B8pNdladkwIABCCE4deoUsbGxvPrqq2bydLDwN4TjPk394MGDpvepMs3cyqNu3brExcWRl5dXpb1qAo3PokRKOa06DampeArfgOuAsR49enDBBRcwevRoAN5//32f3nv37t0+lVZWFHdRkpycTN26dTl58iTp6el88803gGujKF9ReQLlVUNUBeqErYYhRkZGMnPmTMLCwkyvlKemVSNHjmT27NlMnTqVadOmmVf45dG6dWsuvvhicnJyKjW2vSrYsGEDULkEOnfcRYkSXnXq1EEIYSbCLlmyBKfTSdOmTYmMjHR5j+eee47BgwcjpWT79u3UrVuX2bNn8/zzzxMdHc3s2bOZP3++mddQFVx22WVER0fz888/m/kqVtSik5KSUiXeGXdiYmL46quveO+998zRDRVB9fqxLvBqH1e/s/uiVFBQYO4LZY1GUM956pdyzz33uOTa+OMpKa+KRXlK2rZty6RJk7jttttYtmwZo0aN8vkzqovKipL9+/ebvXmq01MCmN4sa4JtqKFzSqoZJUrcPSVWUXLLLbcAcP311xMbG8uaNWvKzLcoLCzk+eefp0+fPowfP74arDbiuu6iRAhh7vTr1q0rNQXYH9SVsMq0r05UEqASJWCUuD722GOA0bHTU96CEIIhQ4Zw5513Mnr0aL/yDNSV8AcffFAZ0yuNOjlVpyhx7+6pRInqxeFpwm9cXBxz5szhp59+4rXXXuObb75hyJAh5vORkZEMGDDA70TQsoiJiTGrXQYOHMjo0aNdRL1aTCo6ZydQKGFg7UWi9vGLLroIIQRHjx4lLy+PTz75hMzMTFauXGmWuKelpXlt8leWKImNjeWJJ54w71eHKDnvvPMYN24c06dPrxZvVUWoqChRLSBWrVpFTk4OLVu2NB+rLlSirK8NCu2IFiXVjKecEjAWQuVuGzp0KGAIl+uvvx7w7i0pKirilltuYc6cOYBRIWLtp1GVdhcVFREbG0tUVJT5uApzTJgwgdTUVOrUqeNXPoli4MCBgFEZUh32W3EP3yj++Mc/MnnyZN54440qKyFUDB06lHr16rF58+ag9aPJyMggLS2NmJgY2rVrV2Xv6y5K1MKuRIn6LDXfQy1InkhISODWW28NWN7Aq6++yu233050dDRLly41e89A6ImS9PR0M3dA7eNJSUnEx8fjdDp5+eWXeeihh7j99tvN+TUKbxOfVRKwtS+NlZEjR5rVg/5UKPma6FpVeU9VSUVFibrwUoP2qttLAmdFiT/zpcpi3rx5AStIUPglSoQQlwohlgghdgkhfrfeqsvAUMdb+CYyMpIvvviC//znPy7PqStsNerdnbVr17J69WoaNGhAUlIShYWFZSauVRR3L4li3LhxdOvWzVyI+vbta5Y6+0NCQgLdunUjLy/PrGypLtRVpLsoCQ8P5/7776+QqCqPmJgYhg8fDlBup9jKkp6e7rGFuvKSdOnSpdxOof7gnujq3kxLeUoUZYmSQNOgQQNeffVVRowYAbiGOUJFlNSqVYs6deqQn5/PyZMnKS4uNr0mTZo0MSvhFixYABjeD7UPqosKT6IkNzeXHTt2uJT/u+NwOJg/fz6vvvqqmWPiC82aNSMsLIzDhw97TOS3ekrshtof/BUl7sMuVQfo6uSiiy7C4XCwbdu2Ss/AmTdvHs888wyvvvqqS3VUdeOvp+R94CfgTuAWt5vGA94SXcHIPXA/AXbp0oXmzZtz/Phxj3FBdfU5aNAgswPkypUrq9psr6IkMjKShx56yPR0qIW3IlxzzTVA9YZwpJReRUl1o/5GqitmRfnll1944403PM4KysnJYfjw4YwYMcLMz5FSUlBQUC1JrkCpPiXunpLmzZu7DPvzFL4JNlZvg0Jd0dpdlMDZkuX09HSOHDlCcXEx8fHxREVFmaKksLCQxo0bm57Opk2bmmLMmleSkZHBa6+9xvz58ykuLqZNmzZlJpc2adKE22+/3a+8GFVFI6V0mRitsLOnJDExkaioKI4ePVpu4npeXh4HDhwgLCzMrOhTBMJTUrt2bS644AKKiooq1V5i4cKFZluEUaNGBfR38VeUNAZelFL+KKVca71VlUFCiIFCiFQhxBkhxP8JIUqNofRlG7vgLXzjDSGE6fZTiaRWduzYARhXo+qqJ5CiBAwPw9y5c/npp59KXQ34w6BBgwDje1ZXT48TJ06Qm5tL7dq1/YqBVwXdu3cnKiqKX375xaU5lD8cPHiQm2++menTp3tMmn311VfNhMe5c+cipeTee+8lJSWFv/3tb0DV5pPA2X3CW06Jw+FwCRfZUZSohVt5SqSUIeMpAde8EvecKWvPoLFjxzJt2jTCwsK48sorzVwRqyiZMWMGM2bMMFuzlzcUsKIo+zx1my3rfBNsfOmzolDluElJScTExJihn+Tk5CptyFcWlc0rOXDgAE8//TQAL774YoVyBiuDv6JkPvDH6jAEQAhRH/gQmAA0w+iN8qK/23gjNzeXtLS0gNZwq3wJfxL21EKvZkBYUZ6Sdu3a0aNHDyIjI9m2bZtLd82qoLyThBCi0p6HlJQUOnXqxKlTp+jVqxezZs2q8t/GWz5JIIiJiTFPENbcBV/Jz8/n/vvvNwWN+3usX7+euXPnEhYWRkREBEuWLGHWrFmm58npdBIXF1dmb5WKoMRdVlYWTqfTpfpGYQ3h2Cl8o3D3lGRkZHDq1Cnq1atnyxCCO1ZPibsnUImS6OhoRo0axahRo9i5cycDBw6kZcuWxMbGcvDgQTIyMoCzFzXqargyFxploZI83YcFSilNT4ld//ZKXLhX1rjjLmxVq4TqLAV2p7J5JYsXL8bpdDJkyBDuvvvuqjTNJ3wKNAshtgMSCANaCyEmAekljwEgpWxfBfYMAzZKKT8v+dxXgP8Cj/i5TSkyMjJo3749BQUFpKSkcM0111BUVMSpU6dwOp3ExMTQq1cvWrVqxapVq9i6dSvZ2dlkZWWRnZ1NgwYNeOmll/y+iiorfOONiy++mHr16pGamsrvv/9ufqbT6TR7E7Rr146YmBi6devG6tWrWb16NYMHD/bLtrII1JXL7NmzefbZZ/nmm2+YOnUqhYWFPPzww1X2/sEUJWDE8FeuXMmKFSt8Grhm5c0332TTpk3ExcVx8uRJVq1axbBhwwDjRP7ss88ipWTcuHEcPnyYTz/9lJdffhmAadOmMWTIEGJiYqq8z0N4eDh16tTh1KlTZGdnl/KUwFlREh8f77OXMJC4V7BYF5OqTnquDpTwSE9PN3PP1HlCJanedttt5vGrwmlhYWF06tSJNWvWsGXLFjp27EhqaioxMTH89NNPnDlzptpc9UpIHT161OXxU6dOUVhYSGxsrEvYz074muzqLkqGDBnC0qVLuemmm6rXQAtWUZKbm0tMTAxLliyhuLjYDJmXxeLFiwHMc02g8TX7bVy1WnGWToA1ELYNaCyEqC2lPO3HNqUoLCxECEG9evXYs2dPqRbXQJlNhcAo2V2wYIHXzHRPKFHiz8IQERFB//79+eyzz1iyZAnjxhl//r1795Kbm0tCQoJ5sunVqxerV69m5cqV5YqSnJwcYmJifDrpKte8yh+oLs4//3zmzZvHF198wfjx45k+fTpt2rTx6eDxBU/lwIGkd+/evPLKKxXylKgckddff53HHnuMgwcPmmGuZcuW8fPPPxMfH8+jjz7Kzp07zWTGrl27cvvtt1dLrw1FXFwcp06dIisry8wpsYbH1DFSlVU/VYm7pySUQjfg6ilRolD1L+nVqxcrVqzwGjZTomTt2rXm+eniiy8mOjq63OaAVWWzFeUJtGM+iULtF+XN61LeJ7V/XXfdddSrV6/KvZVl0bRpU1q3bk1qaioPPPAA3bp145VXXsHhcLBx40bi4+O9vvbgwYNs2rSJ6Ohos9lgwJFS2uYGzAEmuT1WCCT6s43l8bHAemB9w4YNZWJionl77LHH5LPPPuvyWI8ePWTXrl1lSkqK+VivXr3kxo0bZbdu3Vy2PXz4sPz6669dHlu4cKGUUro81rlzZ5mYmCgHDRrk8vj3338vFy5c6PLY119/LQ8fPuzyWMeOHWVxcbEcOHCg+VhycrKUUso///nPLtv+9NNPcsuWLS6P/fnPf5ZSStm+fXvzsYEDB0oppZwwYUK53+nee+8t9Z2GDBkipZRy9OjRLo9LKX36ThMmTJBSSpfv1LVrVzlz5kyX7RITE+WWLVu8fqeuXbuW+52eeuqpUu/57LPPlvpOo0ePrpbvVFRU5LI/+fOdkpKSZGJiohw/frzLtocOHZJ9+vQpte+NHDkyIN9JSim7dOlS6u86bdo0l/sPPPCATEtLc/lOl112mc/7nqfjqaq+09VXX+1yjL700ktVvu8F6jt16NBBJiYmyt69e5f6ndzPEVu2bJHvvfdeqe/61ltvBeQ7qfe23p81a1apbcra9zx9p0D8TomJxnrgy+/09NNP+3U8VfV3WrFihWzdunUp+//973/79Dvdd999FT5HAOtlZXRAZV5c1TfgNWCq5X4kRogoxp9tPN26desmK0NBQYG89957ZWJiohw+fLgsLi726XVqofjhhx9cHv/+++/LfF12drYpJGbPni2llPIvf/mLTExMlC+++KK5ndPpNHcIdSC5k5ubK3v27CkTExNl69atZVZWVrl2P/HEEzIxMVHOmzev1HPl2V5RnE6nvPXWW2ViYqL8+9//XiXv+cADD8jExET58ccfm49Vl/3euPvuu2ViYqJcsGCBz6/Jzs6WiYmJskWLFrK4uFj+4x//kImJiXLEiBHyxx9/lImJibJ9+/by1KlT5mtycnLkkSNHquMrlGLUqFEyMTFRLlu2TI4dO1YmJibKzz//vNzXBfpvXxaXXXaZTExMlKmpqeZvtGjRIq/b28n29evXm4tSy5YtZWJiojxx4kSZr1H2O51OOXjwYJfFZePGjdVu86pVq2RiYqK8/vrrXR5fsmSJTExMlLfffrvX1wb7b19QUGBeXGRmZnrd7r777iu1HwXL9vXr18tWrVrJ888/3zyv/vGPfyzzNcOGDSt1LPtrf2VFid2ap+0ArHPKLwBSpZS5fm5T5URERDB9+nQaNmzImjVr+Oijj3x6nUp09TeuXqdOHV5//XUApk6dytatW80kV2sSoRDCDO+88847ZGdns2DBApeGN3PmzDErNM6cOcO//vWvarO7MgghGDNmDAD/+te/qiTpNVjlwFZUafDbb7/tsazXEyp23bx5cxwOB7169QKM/hIPPfQQYLT9tuYqxcTEVHvHSIW1gZp7SXCooFzshw8fNo8tNcHa7ijbd+zYQW5uLvHx8T6HWoUQ3H///eb92rVre+1LUpWo8I17oqude5QoIiIizNEY3hrPAR6TvoNFt27d+P7771m6dCkvvPACYDSr9DYE9cSJE6xfv56oqKiAV9xYsZso+RzoLYToXVJl8zLg3qfbl22qhfr165tTfV944QVmz55tNkfzRkUSXRUDBw7kzjvvpLCwkDFjxpglXu5x+qFDh9K0aVN+//13Lr74Yp566imGDRvG5s2bWbduHW+++SZgLGIA//znPz02ZrPirelbddOvXz/i4+NJTU0t1afl1KlTvPfee34NLLSDKBk+fDgtWrQgLS2NDz/80KfXKFGiYtmtW7cmPj6e06dPc+jQIbp06cK9995bbTaXh7VXSaiLkl27drF3716io6NDRpQ0atQIIYQpclU+ia8MHjyY888/HzAmfFdlcz1vWEWJ9YIjFEQJnM2TKqv/h6ek72DSrFkzWrduTcuWLWnatCnHjx/3OPcJYN++fYCxLwUzOd1vUSKEqCOEaCWEaGO9VYUxUsrjwBhgAbAfOApME0KMFkLsLmubqvh8Xxg2bBhDhgzh1KlTvPDCC/Tu3dvcET3hb58Sd5599ll69uzJkSNHOHbsGGFhYaUm8oaHh3PfffcBxsJ93nnnkZWVxY033sj1119PTk4OQ4cO5bnnnqN58+bs27eP//73v2V+brBESUREhNngyerRmTNnDt27d+fJJ59k7NixPk3BLCoq4siRIwghAtYjwBPh4eHmzJC//vWvPrXVV4mXKutfCMG1116Lw+Hg0Ucf5fPPPw943xUrakJsTfCULF26FDA8kIFYnKuCiIgIGjZsaN73V5SEh4fz+OOPA5VrgOgPtWvXplatWuTl5bmcM+3cOM1K165dgbOt+D3hKenbDggh6Nu3L3B2yrM7Bw4cAAjYyAdv+Ntm/k9ABvAjsMpyq7LuXVLK/0gpU6SUtaWUd0kp86WUC6SUrcrapqo+vzyEELz99tv885//JCEhgSNHjpTpzqvs4h4dHc0HH3xgtp/v0KGDyywaxR133MHDDz/Mm2++yYYNGxgyZAh5eXlmB9YZM2YQFhZmekseffTRUvMwPNkdjLHhN998MwCLFi0iOzubPXv28MILL3D69GliY2ORUvrUMO7IkSM4nU7i4+NLTakNNEOHDqVz584cPXrUJ2+JdWKtYsqUKbzzzjv86U9/qlBr/6pEVX9Zq29CVZSoFv2BCGFUJVah7X6h4gsjR45k165d5rytQOAphGP3HiUK5SnZvHmz19CynY+F8kSJ6rSrPGjBwl9PyQSgs5SykZQy3nILTCDbJjgcDq6++mrzR1btqd2RUlYqfKOIjIxk+vTpfPjhh7z99tset4mOjuaJJ57gxhtvJDIyklmzZjFr1iyWLl3Kk08+adb/jxkzhttuu428vDz++Mc/ehUmwcgpUbRq1YrLLruMM2fOMGvWLObMmYOUklGjRpkeB19atytvSmKQyoGtCCEYO3Ys4FtbfU+iRAgRFJHoCWtOifvsm1BBLZAFBQVA6IkS69TqiogSCPzx7UmUhEJJMBhNAOPi4jh27JjZ/8gdO4uSyy+/HIfDwYYNG8x93oodQt3gvyg5AlRrQmkooU4E3kRJXl4eTqeTqKioSl/ZCiG44oorfG7ZHR4eznXXXVeq70J4eDivvvqq2aDMW35GsMI3iokTJwJG2EYlFd9///307t0bMLpQlpcIq0RJMEM3Vvr27UtYWBg//fSTOczOG55EiZ1QoiQjI4OcnByEELZsklYW1nbsEHqixLpf+xu+CRah7CkRQrh4S9wpKioiJycHh8Nhy2Ohbt26JCYmUlRUZAoQK6HqKXkG+EEI8WchxGTrrTqMszvqROBttHOwF3ZvWOfreJvlEExPCRiZ44MHDyYvL4+8vDz69+9P27Ztadu2LfHx8Rw5cqTcRkaqSZP74hMsVMv3oqIiry5UMLwPJ06cIDY21uVq2E4oUaLi0HXq1KnWZm3VgXVRj4iIoE2bKkmNCxjK/qioqKDnAfiKp1bzqnu03UUJ4HF2kMLqJbFrV2AlODwNRQzJnBLgaYz28nWAJm63cw7lKfEmSiqb5FqdqHkk3mYBKVESzHDBxIkTzUmkqoRRCGF6S8oL4ShPiV1ECWCW2n377bdet7F6Sex6clOiZNeuXUDlwpPBwir42rZt6zFXy84oUdKiRQu/JvYGE0+eEjsP43NHeardy5qhcpWWgSIpKQnAbBFhJVRFSUegv5TyfinlA9ZbdRhnd5KSkoiIiODgwYMeKyrsvJPWr1+fuLg4cnJyzNbIiqKiIvLy8nA4HNXadro8WrZsyVtvvcXkyZPNPh2AOR3ZV1Fil/ANnBUl3333HUVFRR63sXvoBozf5uKLLzZFk13byZdFZGSkmccQaqEbMJLeoeqnQFcn7jOHiouLzZwkVdFlZ6xVZ+6EQm6VN0+JSliPjY0Nujj0t/5tHkY57t+r3pTQIzw8nJSUFHbt2sXvv/9uNtdR2DV8o0hOTmbz5s2kpaW5zEOwhm6CfaV+3XXXlXpMiZLVq1dTUFDgtbLGbuEbMLxrKSkp7Nmzhw0bNnDJJZeU2sa9HNiORERE8Nlnn5Gbm8u+ffvMK7BQIyEhgePHj4ekKOnUqROrVq2yRSK3r7iHb7Kzs5FSUqdOnZDw9igPoaecMDsnuSqUp0f1JFFY80mCfc7311PSD/ibEOK4EGK7EOJXdasO40KBskI4SpTY0VMCZ0M47pMv7S6mmjZtSrt27Th9+rQ5tM4TdgzfgNEgDmDNmjUen1cl5qEwHC4mJoa2bdvadrprefTs2ZOYmBiuuOKKYJtSIZKTk4Ne7u4P7pOC1eJe3YM/qwpr1Zk7ylNi1/M9nPWUuIsSu1TegP+ekvFAPaAxoOSUwJg9c06iFg5PosTOOSXgmldiJZg9Snxl0KBB7Nixgy+//NIszbbidDpNT4mdwjdwtpW5pyTjo0ePsmzZMsLDw4M3pfMcYvLkyTz55JO23tdrEu5dXZUoCYXQDZy105OnRJ3v7Ry+UR7NsjwlwcZfT0kP4GOM1u5TS24vldzOSXzxlISaKAl25Y0vXHPNNQB8/fXXHlvmZ2ZmUlhYSFxcnO2u4tXf3VOy2aeffkpxcTEDBgxw6dipqR7CwsK0IAkg7l1dQ02UWD0l7gUCdmsx74lGjRoRHR3tMh4C7JPkChVvnhZ/LjdPs1JWrxI7J7pC+Z4SO4uSDh06kJSUREZGBhs2bCj1vF1DN+BdlEgpzZ4so0aNCrRZGk1AsOaVqMqbUBElMTExREVFUVBQQF5enstzdm0xb0UI4TGEo0SJHcI3unlaJVG9Sn777TceeeQRHnjgAWbOnMm2bdtsH75RiZR79uxxUf2hEL4RQpjeEk8N4OwsShITEwkPDyc9PZ3c3LOH0+bNm9m1axcNGzY08040mpqGSqo/fvy46SkJdsWHP1iHUVqx+0WowlMFjhIloRi+0c3T3Khbty4JCQnk5+fz8ccf88UXXzBt2jSuvfZa80e3607aoEEDateuTXZ2tssBFgqeEjgbwvnqq69KuVLtLErCw8NNN6n1akW1/L/xxhuDPttGo6kuVFgyIyMj5MI34D2vJBRKgsFzXolaq0IxfKObp3nglVdeYcyYMUydOpXXX3+d1q1bU1BQYE4ftasoEUJ4DOGEQk4JGP0ZGjVqxIEDB0qN47azKAHPIZydO3cCuPRk0WhqGqo3zPHjx80qllASJd4qcEKhJBhKi5LTp09z8uRJoqKibJHH5m/1TUegkZSy/Nnr5xBXXXWV2bYdjP4Y06dPN5uS2XlxT05OZtu2baSlpXHRRRcBoeMpcTgcDBo0iAULFvDll1+69JqwY+M0K6pfgLUcWwlDO/cn0WgqS033lISaKFFFGi1atLDFqAh/LZiH0TxNUwaXXXaZy307L+6eepWEQk6JwhrCsWLHxmlWlChRnpL8/HwOHjyIw+GwhQtVo6kuPImSUOlTAt49JSqnxO6ixD2nRI2KqOik6apGN0+rBjp37uxShmrX8A2c3UGVZwHsMffGV3r27ElcXBypqakuA/rsHr5R3hAlSvbv34+UkmbNmoVUMyyNxl9CPXzjrdV8KHpKiouLTU+JXQZS+itKxmMIk+HAOOABy01TQmRkJD169DDv29lTosrzVIdFCJ3wDRjtzlXoTHlLpJQhE75RIRv1r/JcaTQ1FaunRC3sNcFTEgolwWDY16xZM/Ly8lwu5kLSUyKl/MHbrboMDFWsIRw7e0pUed6xY8fMx0JJlEDpEM7JkyfJyckhNjbWticIdbVy4MABioqKtCjRnDOEek6Jt/k3oVISDNC1a1cANm7caIZvQtVTovGRnj17mv+3805alqckFMI3AFdccQVRUVH8/PPPZGVl8csvvwDGQRbs4VLeiImJISEhgaKiIg4dOmSGcZQHRaOpqVjDNzUlp0RKGTLVN3BWlKxZs4Z9+/bhcDhsk2CvRUk10blzZ+rVq0dUVJStrwKsVy1OpxMInZJgRUxMjDnGfcuWLWzduhUwpqjaGWsIR1feaM4V4uLiCAsLIysri9OnTyOECImFXOGp+iYnJ4fi4mJiYmJCoseQqrT86quvcDqdJCcnExUVFWSrDLQoqSYiIiJ4//33mTdvnq09JVFRUcTFxVFUVGQq/1AL38BZ5b9582Zzyq7dRYkK1ezcudOsftLhG01Nx+FwmN4SMBZ5O5Si+oonT0moJLkqLrzwQsLDw80LUDUk1A6Ezp4QgnTt2jUkRqIrb4nKKwlFUdKlSxcANm3aZIoSa98SO3L55ZcD8Mknn5htnlWuiUZTk3EXJaGEJ09JqJQDK2JiYmjfvr15X4sSja1Qya4qryTUckrgrChZu3YtaWlpREVF0bZt2yBbVTbXXHMNdevWZevWrRQWFpKQkGC7icYaTXVg7RwaSvkkcHZOjydPiV0T6z2hvMugRYnGZqhkV+UpCbWcEjByMerVq2devbRv3972sd2YmBiuu+46877OJ9GcK1hFSah5SpTwyMrKMvPwVJKrnUP17mhRorEt3jwloSRKhBCmtwTsH7pR3Hzzzeb/deWN5lwhlMM34eHh1KlTByml6SEJpcobhVWU2KVHCWhRosHVU+J0OkOqo6sVqyixe5KronPnzrRr1w7QSe07O/kAAA7aSURBVK6ac4dQ9pRA6bySUGmcZqVly5aMGDGCe+65x1YXoFqUaMwTxNGjR8nLy0NKSXR0NGFhYUG2zD+syj9UPCVCCJ555hk6derE0KFDg22ORhMQQjmnBEpX4IRa9Q0Y55433niDKVOmBNsUF/ydEqypgVg9JaEYulF07doVh8NBdHS07ZNcrfTv35/+/fsH2wyNJmBYwzehKErcPSUnTpxweVxTcbQo0Zg5JRkZGSEtSho2bMicOXOIjY21fZKrRnMuE+rhGyWklBg5dOgQAImJiUGzqaagRYnGpdV8KFbeWBk0aFCwTdBoNOVQU0SJ8pSoPkPNmjULmk01BZ1ToqFBgwY4HA4yMzPNgyzUklw1Gk3oUNNySg4ePAhA06ZNg2ZTTUGLEg1hYWE0aNAAKSX79u0DQtdTotFo7E9sbKzZKDCUPSWZmZkUFRWRnp6OEIImTZoE2bLQR4sSDXD2ykUNhtOiRKPRVCcpKSmEh4eH5EKuxkHs2bOHI0eOUFxcTKNGjWwz1C6U0TklGsDIK9m+fbspSnT4RqPRVCdz587l2LFjLpU4oYLqgLp7924zn0SHbqoGLUo0wNkKHO0p0Wg0gSApKSlkB1CmpKQQFhbG3r172b17N6CTXKsKHb7RAGcrcLZt2wZoT4lGo9F4IzIykpSUFKSULF++HNCekqpCixINgNlszOl0UrduXfr16xdkizQajca+qBDOihUrAO0pqSp0+EYDwA033EDz5s2pX7++6ZrUaDQajWdat27NV199ZbZR0I3TqgYtSjSAURbco0ePYJuh0Wg0IUGbNm1c7mtPSdWgwzcajUaj0fiJCt8odE5J1aBFiUaj0Wg0ftKyZUuEEIAxHTgUm8DZEVuJEiHEQCFEqhDijBDi/4QQZc6BFkKsEEJcGij7NBqNRqMBiImJ4fzzzwd06KYqsY0oEULUBz4EJgDNAAG86GXbgUKIt4HLA2ehRqPRaDRnUSEcneRaddhGlADDgI1Sys+llCeAV4CbvWx7OUaS7ulAGafRaDQajRWV7KrzSaoOO1XfdAI2We5vAxoLIWpLKV3Eh5TyWQAhxIAA2qfRaDQajckNN9zA+vXrufHGG4NtSo3BTqKkLrBX3ZFS5gshikoer5BHRAgxFhgLhGw7Y41Go9HYkw4dOvD5558H24waRcDDN0KIp4UQRe43DIEUY9kusuSxExX9LCnlbClldylldzXbRaPRaDQajT0JuCiRUr4spQx3vwErgQstm14ApEopcwNto0aj0Wg0msBjp0TXz4HeQojeJZU4LwMfBNkmjUaj0Wg0AcI2OSVSyuNCiDHAAiAe+BiYBiCEGA1MllK2quj7b9iw4bQQYmeVGBscGgIZwTaigoSy7RDa9oey7RDa9mvbg0co2x/KtgO0rcyLhZSyqgyxNUKI9VLK7sG2o6KEsv2hbDuEtv2hbDuEtv3a9uARyvaHsu1QefvtFL7RaDQajUZzDqNFiUaj0Wg0GltwLomS2cE2oJKEsv2hbDuEtv2hbDuEtv3a9uARyvaHsu1QSfvPmZwSjUaj0Wg09uZc8pRoNBqNRqOxMTVelJRMFE4VQpwRQvyfEKJOsG0qDyHEGCFEmhDitBDiByFEW7fnpwoh/hcs+3xBCNFBCJEvhEgQQsQIIeYLIY4LIU4IId4TQtQKto3uCCEmCSHy3G6FQojRQojXS+w/LoRYaMf9SAgxvmS/yRJCzC7piowQ4nbL458JIeKCbasVIcQKIcSlJf+PFULME0JkCyHShRBvCCEiSp5LEUKsFELkCiHWCiEuCK7lrra7Pe7xGBUGy4UQEwNjYdm42+9tXxFC9BBC/CSEyBFC/C6EuCd4Vpu2WvebekKIj4QQJ0vsu8myXXchxIaS/Wa7EGJo8Kwu+/wuhGghhNjutn10yfkzWwhxQAjxcOCtNm3xa20SQpwnhPiyZP39RQhxebkfIqWssTegPpAJXF/y/4+BGcG2qxybW2PM+rkGo+3+U8Amy/NdgTzgf8G2tYzvEAb8CEggAXgSWIIxx+g8YClG35mg21rO9+gBbAX+APyGUX9fD6PR31+DbZ+brZcBh4AOQANgGfAs0AU4CvQE6gD/BV4Otr0lNg8E3i7ZTy4teWwKsAZoVrLvrAYeLnluBTC1ZD+aAGy2k+2W57weo8CDQDEw0YZ/e6/7CrAdY45YOHAJkAM0t5HtszGabdbGmCKfBbQABJAGPA3UAgZgjC5pEiTbPZ7fS84rdwMbgB1ur/kL8J+S47pTyXdraxfbLc+X2u+BhcA8IA64BUgHIsv6nJruKRkGbJRSfi6lPAG8AtwcZJvKoz/wvZTyK2m02P8z0LlEcUYAc7B/ItRjGAuLogjj5BBWcj8MQyzaFiFEODAfQ5BcDsySUu6UUmYBM4Erg2mfB64HPpBS/iKlPA68AdyEcaJ7W0q5Wkp5CrgLo0GhHbgcY5GzDty8CnhNSnlASpkOzAWuFEIkYZz0pkgpszFO1MlCiHaBNroET7ZT1jEqhEgGxgGfVb955eLJ/rL2lSLOHr8OoABDmAQDT7ZfjyGgTkspV2KI8huANhgXpK9IKc9IKb8FfsEQXsHA4/kdaIlxYZFu3VgI4cD4XR6WUh6XUv6M8f2PBdZswM+1SQgRBYwAJkkpT0opPyyxu39ZH1LTRUknDBWq2AY0FkLUDpI9vvA5xtWUohvGwZ+NoUyXAhuDYJdPCCHaYJzMnrU8/DeMLr2ZwPGS/78beOv8YhywV0q5HOO7zLM81x3DK2EnIoF8y30BpGDsPw4hxEYhRAbwKrA/CPaVQkr5rJTyXox9QnEvhldNof7WnYHtUsr8ktc6gR1Ahbs8VwYvtkPZx+i7GB6eCk09r0q82F/WvjIeeBMoxPCC/kVKGYyF0Zvt3vb//cDlJfsLQoi6GEIlWMevt/P7zyXf6TW37VtiiMGbSkI3vwNdpZTBuKjzd21qA5yWUh6wPPYL5RyzNV2U1MVwdQFQckIrKnnclkgpj0gp0wCEEDdiuO0mAu2AUcDzQTOuHEpU/VwMVX/G8tQzGCfiJhhu+WzgxcBb6Bsl3+NxYDKAlHK3NMYgRAghnsU4AJ8Lpo0e+BYYJYRIFkI0BB7COJk1xLhauQnjJJGEESKxJSWenlNCiFpCiLeA4RiLo8uxXMIpbHQsCyEuxMsxKoQYCxyRUn4ZaLv8wOO+YvEaPg3EYoRPnhZCdAyWoR74FnhYGPlrvTHCNGFSyhwp5VYAIUQnYDnwg5RyTRnvVW14O79LKYu8vKQhRiitKcZvcjswUwjRJQDmulCBtalCx2xNFyUnMWJfAJQk/oVjxBRtixCioRBiEYYL/h5gFvAP4I/S3lOT/wD8JqX8xu3x6zHcp+lSyoMYM40GBtw63xkKHJVSrlMPlJwENgNDgJ5SyrXBMs4TUsrFGAvHKmAdhofwaMnT75QIq0zgdcpxnwYbIUR/jByGFsBFUso9uB3LJcRik2O5RMh6PEaFEE0x8qoeCYZtfuJpX+kM1JFSvialzJVSLgG+wgi12YUHgWQMD8grwP8o2f+FEOFCiKkYk+j/RZBD+O7ndynlTB9eNrlEYP0IfA30qVYjveDn2lShY9Y2A/mqiR0YeSWKC4BUOy/swqhKWYnhIm0npTwthKiHEU//SggBxhWwQwiRLqVMCJ61pegLDBVCWA/6NAyXnZVC4Az25S6MpGgASq4IfwAmATNlSQaXnRBCtAA+k1K+WHL/bgzPVH0gwrKpA7Dz/j8QY+EYJ6X8yPLUTuACIYRDSuksEQFtgZ+DYacH6uDlGMVIED0f2F/yXATgFEJcJKW8ycv7BYM0PO8rOWBUDln2fbsdw62AO0pyBxFCLMdIkgYj9NoK6FwicIOGp/N7OS9JK/k36Mewv2sTRuipvhDiPEu4qT1GON87VZWZa8cbRrZyJtAb4+T8X+D5YNtVjs1jMZKJytrmTmxcfWOxU1XfTMKonGiCkU+yFPhTsO3zYrPAiFV3tTz2QQjsNyMxvAuNMRbrXRjJuHdhnNjaYVQ+fU9JNYtdbiX2qSqKH4E7vWy3BvgTxtXXc8AyO9nu9rjXYxRjkQxq9Y2Xv73HfQXj4nUHRj5MDEaiZQZwvo1s/y9GmC8WGAPsxljIW2NcmccF+29dYmeZ53eMCzv36psfMMLitTGSYY8BiXazvWQbl/0e4wLjzZL95p6S3yWsrPeo0eEbaVQhjMHIIN+P4c6bFlSjyqcT0EcIUeR2ax5swyrBq8BajJDCNmALhvvPjlyIcQBZr8A7Ac+6/R67g2OeVz7BEHu/YsTNZ0opl2IsgH+3PLcOo3rIrnQC3nX7Wy8teW40hvjKxBBcY4JlZA1lHh72FWnkO1yPEXI9ilFhcYeU0hYJ0yU8ylmx9CAwXEpZiBF6igMy3Pap0f/f3h3z2BCFYQB+P1TaFQUahV4hITT7H0hQaUQlNOotNirb+wEahUblP6gpJApbWFY2UUiISNZRzNzsFhvZLPfOWZ6nupPJvffLFJN3zkzmnWjOg5zfr2e4wN7IcOxvttameFD3ILPfzxByPye5m+Raa237d3/iNfMAQBf+6ZUSAODwEEoAgC4IJQBAF4QSAKALQgkA0AWhBADoglACLExVLVfVm6nnAPoklACHXlUdnXoG4M8JJcCiHamqx1X1tareVdXlsTRtrao+VtVGVa3UWKZRVetVdWn25dn22Ii8WVUPM7x6GzjkhBJg0c5l6C05kaFXaDVDr8rFJOeTXElyNcntffzWyQzdLKfmMSiwWEIJsGhfkqy1oa37RYbK+VsZSg8/tdbWkzzKEEz2Y7W19n0egwKLdWzqAYD/zmbbKd3aznAeOp2hQXRmK8MqyF52X0z9aK19+/sjAlOwUgIs2l4toFtJzuzant3iSZKfGc9V4wOtS/McDpiOUAL04FmSlapaqqqzSe4leTLue5/kwvj5RpLjE8wHLIBQAvRgJcmHJG+TvEzytLX2fNz3IMmdqnqVZDnJ60kmBOaudm7tAgBMx0oJANAFoQQA6IJQAgB0QSgBALoglAAAXRBKAIAuCCUAQBeEEgCgC0IJANCFX0G+LNm1vGZGAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(8.5,2))\n", + "\n", + "ax = fig.add_subplot(111)\n", + "\n", + "ax.plot(numpy.arange(raintot_diffs_400_latlon_mean_and.size)-5, raintot_diffs_1000_latlon_mean_and-raintot_diffs_400_latlon_mean_and,\\\n", + " color='0.1',lw=2,label='diff.',zorder=3)\n", + "# ax.plot(numpy.arange(raintot_diffs_400_latlon_mean_and.size)-5, raintot_diffs_1000_latlon_mean_and,\\\n", + "# color='firebrick',lw=2,label='phys.')\n", + "\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize)\n", + "ax.set_xlabel('hour', fontsize=fontsize)\n", + "\n", + "ax.set_xticks(numpy.arange(0,241,24))\n", + "#ax.set_yticks([0,.2,.4,.6,.8,1])\n", + "ax.set_xlim(0,240)\n", + "#ax.set_ylim(0.1,1.1)\n", + "ax.axhline(0, lw=1, ls='--', c='0.1')\n", + "\n", + "handles, labels = ax.get_legend_handles_labels()\n", + "ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", + " ncol=1, bbox_to_anchor=(.99,.95), bbox_transform=ax.transAxes, \\\n", + " loc='upper right', borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", + " edgecolor='0', framealpha=0, borderpad=0.25, columnspacing=0.5, \\\n", + " handletextpad=0.25, markerscale=1)\n", + "\n", + "ax.set_xticks(numpy.arange(18,241,24), minor=True)\n", + "ax.xaxis.grid(which='minor')\n", + "\n", + "ax.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/gp1_wrf_MANUSCRIPT_precip_time_series.ipynb b/gp1_wrf_MANUSCRIPT_precip_time_series.ipynb deleted file mode 100644 index 1b8e823..0000000 --- a/gp1_wrf_MANUSCRIPT_precip_time_series.ipynb +++ /dev/null @@ -1,4625 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# import stuff" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-02T16:10:04.329519Z", - "start_time": "2018-07-02T16:09:57.863887Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/cmocean/tools.py:76: MatplotlibDeprecationWarning: The is_string_like function was deprecated in version 2.1.\n", - " if not mpl.cbook.is_string_like(rgbin[0]):\n" - ] - } - ], - "source": [ - "import numpy\n", - "import xarray\n", - "import matplotlib\n", - "import matplotlib.pyplot as mp\n", - "import datetime\n", - "import glob\n", - "import netCDF4\n", - "import pandas\n", - "import wrf\n", - "import string\n", - "import seaborn\n", - "import matplotlib.colors\n", - "import cmocean\n", - "import matplotlib.cm\n", - "\n", - "import metpy\n", - "import metpy.plots\n", - "import metpy.calc\n", - "import metpy.units\n", - "\n", - "import cartopy\n", - "\n", - "DEGREE_SIGN = u'\\u00B0'\n", - "mp.rcParams.update({'mathtext.default': 'regular'})\n", - "\n", - "% matplotlib inline" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# set up wet and dry regions" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-02T16:10:04.361179Z", - "start_time": "2018-07-02T16:10:04.354264Z" - } - }, - "outputs": [], - "source": [ - "dry_lon_lo, dry_lon_hi, dry_lat_lo, dry_lat_hi = -60,-50,-10,10\n", - "wet_lon_lo, wet_lon_hi, wet_lat_lo, wet_lat_hi = -80,-75,-10,10\n", - "\n", - "dry_lon_lo_degE = 360+dry_lon_lo\n", - "dry_lon_hi_degE = 360+dry_lon_hi\n", - "\n", - "wet_lon_lo_degE = 360+wet_lon_lo\n", - "wet_lon_hi_degE = 360+wet_lon_hi" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-02T16:10:04.558669Z", - "start_time": "2018-07-02T16:10:04.381183Z" - } - }, - "outputs": [], - "source": [ - "lon_lo_ama = dry_lon_lo\n", - "lon_hi_ama = dry_lon_hi\n", - "lat_lo_ama = dry_lat_lo\n", - "lat_hi_ama = dry_lat_hi\n", - "\n", - "lon_lo_and = wet_lon_lo\n", - "lon_hi_and = wet_lon_hi\n", - "lat_lo_and = wet_lat_lo\n", - "lat_hi_and = wet_lat_hi" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# open control data" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-02T16:10:04.874661Z", - "start_time": "2018-07-02T16:10:04.576817Z" - } - }, - "outputs": [], - "source": [ - "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400/ens_mean_wrfout_files'\n", - "file_list = sorted(glob.glob(root_dir+'/'+'wrfout*.nc'))\n", - "ds_list = [netCDF4.Dataset(file) for file in file_list]" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-02T16:10:09.119624Z", - "start_time": "2018-07-02T16:10:04.967995Z" - } - }, - "outputs": [], - "source": [ - "cont_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*.nc')" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-02T16:10:10.680749Z", - "start_time": "2018-07-02T16:10:09.427806Z" - } - }, - "outputs": [], - "source": [ - "rainc_400 = cont_mfds['RAINC'].values\n", - "rainnc_400 = cont_mfds['RAINNC'].values" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-02T16:10:12.328862Z", - "start_time": "2018-07-02T16:10:10.689125Z" - } - }, - "outputs": [], - "source": [ - "time = cont_mfds['Times'].values\n", - "xlat = cont_mfds['XLAT'].values[0,:,:]\n", - "xlong = cont_mfds['XLONG'].values[0,:,:]\n", - "landmask = cont_mfds['LANDMASK'].values[0,:,:]\n", - "landmask_midpoints = landmask[1:,1:]" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-02T16:10:12.982076Z", - "start_time": "2018-07-02T16:10:12.968335Z" - } - }, - "outputs": [], - "source": [ - "hgt = cont_mfds['HGT'].sel(Time=0).values" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# get time info" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-02T16:10:13.320918Z", - "start_time": "2018-07-02T16:10:13.305962Z" - } - }, - "outputs": [], - "source": [ - "time_datetimes = pandas.to_datetime([i.decode('utf-8') for i in time], format = '%Y-%m-%d_%H:%M:%S')" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-02T16:10:13.651748Z", - "start_time": "2018-07-02T16:10:13.644300Z" - } - }, - "outputs": [], - "source": [ - "time_datetimes_shifted_ama = time_datetimes + datetime.timedelta(hours=-4)\n", - "time_datetimes_shifted_and = time_datetimes + datetime.timedelta(hours=-5)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# get land mask info" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-02T16:10:13.983988Z", - "start_time": "2018-07-02T16:10:13.977066Z" - } - }, - "outputs": [], - "source": [ - "landmask_indices = numpy.copy(landmask)\n", - "landmask_indices[landmask==1]=1\n", - "landmask_indices[landmask!=1]=0\n", - "landmask_indices = numpy.array(landmask_indices, dtype=bool)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-02T16:10:14.317263Z", - "start_time": "2018-07-02T16:10:14.310174Z" - } - }, - "outputs": [], - "source": [ - "lon_indices_ama = (xlong>=lon_lo_ama)&(xlong<=lon_hi_ama)\n", - "lat_indices_ama = (xlat>=lat_lo_ama)&(xlat<=lat_hi_ama)\n", - "latlon_indices_ama = (lon_indices_ama)&(lat_indices_ama)&(landmask_indices)" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-02T16:10:14.651747Z", - "start_time": "2018-07-02T16:10:14.645098Z" - } - }, - "outputs": [], - "source": [ - "lon_indices_and = (xlong>=lon_lo_and)&(xlong<=lon_hi_and)\n", - "lat_indices_and = (xlat>=lat_lo_and)&(xlat<=lat_hi_and)\n", - "latlon_indices_and = (lon_indices_and)&(lat_indices_and)&(landmask_indices)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-02T16:10:14.983453Z", - "start_time": "2018-07-02T16:10:14.977614Z" - } - }, - "outputs": [], - "source": [ - "latlon_indices_and_high = (lon_indices_and)&(lat_indices_and)&(landmask_indices)&(hgt>1500.)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# open phys data" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-02T16:10:19.658208Z", - "start_time": "2018-07-02T16:10:15.309244Z" - } - }, - "outputs": [], - "source": [ - "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000/ens_mean_wrfout_files'\n", - "file_list = sorted(glob.glob(root_dir+'/'+'wrfout*.nc'))\n", - "ds_list = [netCDF4.Dataset(file) for file in file_list]\n", - "\n", - "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*.nc')" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-02T16:10:21.286771Z", - "start_time": "2018-07-02T16:10:20.200673Z" - } - }, - "outputs": [], - "source": [ - "rainc_1000 = phys_mfds['RAINC'].values\n", - "rainnc_1000 = phys_mfds['RAINNC'].values" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# rain diffs for hourly" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-02T16:10:21.936028Z", - "start_time": "2018-07-02T16:10:21.841582Z" - } - }, - "outputs": [], - "source": [ - "raintot_400 = rainc_400+rainnc_400\n", - "raintot_1000 = rainc_1000+rainnc_1000" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-02T16:10:22.752021Z", - "start_time": "2018-07-02T16:10:22.505084Z" - } - }, - "outputs": [], - "source": [ - "raintot_diffs_400 = numpy.zeros((raintot_400.shape))*numpy.nan\n", - "raintot_diffs_1000 = numpy.zeros((raintot_1000.shape))*numpy.nan\n", - "\n", - "raintot_diffs_400[:-1,:,:] = numpy.diff(raintot_400, axis=0)\n", - "raintot_diffs_1000[:-1,:,:] = numpy.diff(raintot_1000, axis=0)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# raintot diffs" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-02T16:10:23.352711Z", - "start_time": "2018-07-02T16:10:23.331152Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", - " after removing the cwd from sys.path.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:5: RuntimeWarning: Mean of empty slice\n", - " \"\"\"\n" - ] - } - ], - "source": [ - "raintot_diffs_400_latlon_subset_ama = raintot_diffs_400[:,latlon_indices_ama]\n", - "raintot_diffs_1000_latlon_subset_ama = raintot_diffs_1000[:,latlon_indices_ama]\n", - "\n", - "raintot_diffs_400_latlon_mean_ama = numpy.nanmean(raintot_diffs_400_latlon_subset_ama, axis=1)\n", - "raintot_diffs_1000_latlon_mean_ama = numpy.nanmean(raintot_diffs_1000_latlon_subset_ama, axis=1)" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-01T04:19:05.639353Z", - "start_time": "2018-07-01T04:19:05.617521Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", - " after removing the cwd from sys.path.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:5: RuntimeWarning: Mean of empty slice\n", - " \"\"\"\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:10: RuntimeWarning: Mean of empty slice\n", - " # Remove the CWD from sys.path while we load stuff.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:11: RuntimeWarning: Mean of empty slice\n", - " # This is added back by InteractiveShellApp.init_path()\n" - ] - } - ], - "source": [ - "raintot_diffs_400_latlon_subset_and = raintot_diffs_400[:,latlon_indices_and]\n", - "raintot_diffs_1000_latlon_subset_and = raintot_diffs_1000[:,latlon_indices_and]\n", - "\n", - "raintot_diffs_400_latlon_mean_and = numpy.nanmean(raintot_diffs_400_latlon_subset_and, axis=1)\n", - "raintot_diffs_1000_latlon_mean_and = numpy.nanmean(raintot_diffs_1000_latlon_subset_and, axis=1)\n", - "\n", - "raintot_diffs_400_latlon_subset_and_high = raintot_diffs_400[:,latlon_indices_and_high]\n", - "raintot_diffs_1000_latlon_subset_and_high = raintot_diffs_1000[:,latlon_indices_and_high]\n", - "\n", - "raintot_diffs_400_latlon_mean_and_high = numpy.nanmean(raintot_diffs_400_latlon_subset_and_high, axis=1)\n", - "raintot_diffs_1000_latlon_mean_and_high = numpy.nanmean(raintot_diffs_1000_latlon_subset_and_high, axis=1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# time periods:\n", - "* Amazon: 8am to 8pm (AMtoPM) - daytime\n", - "* Amazon: 8pm to 8am (PMtoAM) - overnight\n", - "\n", - "* Andes: 10am to 6pm (AMtoPM) - daytime\n", - "* Andes: 6pm to 10am (PMtoAM) - overnight" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-30T01:19:29.782079Z", - "start_time": "2018-06-30T01:19:29.771064Z" - } - }, - "outputs": [], - "source": [ - "time_indices_AMtoPM_ama = [t.hour in range(8,20) for t in time_datetimes_shifted_ama]\n", - "time_indices_PMtoAM_ama = [(t.hour in range(20,24)) or (t.hour in range(0,8)) for t in time_datetimes_shifted_ama]\n", - "\n", - "time_indices_AMtoPM_and = [t.hour in range(10,18) for t in time_datetimes_shifted_and]\n", - "time_indices_PMtoAM_and = [(t.hour in range(18,24)) or (t.hour in range(0,10)) for t in time_datetimes_shifted_and]" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-30T01:19:29.861799Z", - "start_time": "2018-06-30T01:19:29.790781Z" - } - }, - "outputs": [], - "source": [ - "raintot_diffs_400_AMtoPM_ama = (12/24)*numpy.nanmean(raintot_diffs_400_latlon_subset_ama[time_indices_AMtoPM_ama])\n", - "raintot_diffs_400_PMtoAM_ama = (12/24)*numpy.nanmean(raintot_diffs_400_latlon_subset_ama[time_indices_PMtoAM_ama])\n", - "\n", - "raintot_diffs_1000_AMtoPM_ama = (12/24)*numpy.nanmean(raintot_diffs_1000_latlon_subset_ama[time_indices_AMtoPM_ama])\n", - "raintot_diffs_1000_PMtoAM_ama = (12/24)*numpy.nanmean(raintot_diffs_1000_latlon_subset_ama[time_indices_PMtoAM_ama])\n", - "\n", - "raintot_diffs_400_timemean_ama = numpy.nanmean(raintot_diffs_400_latlon_subset_ama)\n", - "raintot_diffs_1000_timemean_ama = numpy.nanmean(raintot_diffs_1000_latlon_subset_ama)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-30T01:19:30.478897Z", - "start_time": "2018-06-30T01:19:30.465743Z" - } - }, - "outputs": [], - "source": [ - "raintot_diffs_400_AMtoPM_and = (8/24)*numpy.nanmean(raintot_diffs_400_latlon_subset_and[time_indices_AMtoPM_and])\n", - "raintot_diffs_400_PMtoAM_and = (16/24)*numpy.nanmean(raintot_diffs_400_latlon_subset_and[time_indices_PMtoAM_and])\n", - "\n", - "raintot_diffs_1000_AMtoPM_and = (8/24)*numpy.nanmean(raintot_diffs_1000_latlon_subset_and[time_indices_AMtoPM_and])\n", - "raintot_diffs_1000_PMtoAM_and = (16/24)*numpy.nanmean(raintot_diffs_1000_latlon_subset_and[time_indices_PMtoAM_and])\n", - "\n", - "raintot_diffs_400_timemean_and = numpy.nanmean(raintot_diffs_400_latlon_subset_and)\n", - "raintot_diffs_1000_timemean_and = numpy.nanmean(raintot_diffs_1000_latlon_subset_and)" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-01T04:19:12.337130Z", - "start_time": "2018-07-01T04:19:12.325810Z" - } - }, - "outputs": [], - "source": [ - "raintot_diffs_400_AMtoPM_and_high = (8/24)*numpy.nanmean(raintot_diffs_400_latlon_subset_and_high[time_indices_AMtoPM_and])\n", - "raintot_diffs_400_PMtoAM_and_high = (16/24)*numpy.nanmean(raintot_diffs_400_latlon_subset_and_high[time_indices_PMtoAM_and])\n", - "\n", - "raintot_diffs_1000_AMtoPM_and_high = (8/24)*numpy.nanmean(raintot_diffs_1000_latlon_subset_and_high[time_indices_AMtoPM_and])\n", - "raintot_diffs_1000_PMtoAM_and_high = (16/24)*numpy.nanmean(raintot_diffs_1000_latlon_subset_and_high[time_indices_PMtoAM_and])\n", - "\n", - "raintot_diffs_400_timemean_and_high = numpy.nanmean(raintot_diffs_400_latlon_subset_and_high)\n", - "raintot_diffs_1000_timemean_and_high = numpy.nanmean(raintot_diffs_1000_latlon_subset_and_high)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-30T01:19:30.559897Z", - "start_time": "2018-06-30T01:19:30.487567Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0.16433720432745857\n", - "0.1643372043274586\n" - ] - } - ], - "source": [ - "print(raintot_diffs_1000_AMtoPM_ama+raintot_diffs_1000_PMtoAM_ama)\n", - "print(raintot_diffs_1000_timemean_ama)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-30T01:19:31.771647Z", - "start_time": "2018-06-30T01:19:31.762279Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0.42218955033863564\n", - "0.42218955033863576\n" - ] - } - ], - "source": [ - "print(raintot_diffs_1000_AMtoPM_and+raintot_diffs_1000_PMtoAM_and)\n", - "print(raintot_diffs_1000_timemean_and)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-30T01:19:32.979963Z", - "start_time": "2018-06-30T01:19:32.973728Z" - } - }, - "outputs": [], - "source": [ - "and_total_diff = raintot_diffs_1000_timemean_and-raintot_diffs_400_timemean_and\n", - "and_AMtoPM_diff = raintot_diffs_1000_AMtoPM_and-raintot_diffs_400_AMtoPM_and\n", - "and_PMtoAM_diff = raintot_diffs_1000_PMtoAM_and-raintot_diffs_400_PMtoAM_and" - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-01T04:19:44.605631Z", - "start_time": "2018-07-01T04:19:44.597079Z" - } - }, - "outputs": [], - "source": [ - "and_high_total_diff = raintot_diffs_1000_timemean_and_high-raintot_diffs_400_timemean_and_high\n", - "and_high_AMtoPM_diff = raintot_diffs_1000_AMtoPM_and_high-raintot_diffs_400_AMtoPM_and_high\n", - "and_high_PMtoAM_diff = raintot_diffs_1000_PMtoAM_and_high-raintot_diffs_400_PMtoAM_and_high" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-30T01:19:33.144966Z", - "start_time": "2018-06-30T01:19:32.988411Z" - } - }, - "outputs": [], - "source": [ - "ama_total_diff = raintot_diffs_1000_timemean_ama-raintot_diffs_400_timemean_ama\n", - "ama_AMtoPM_diff = raintot_diffs_1000_AMtoPM_ama-raintot_diffs_400_AMtoPM_ama\n", - "ama_PMtoAM_diff = (raintot_diffs_1000_PMtoAM_ama-raintot_diffs_400_PMtoAM_ama)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-30T01:19:33.763885Z", - "start_time": "2018-06-30T01:19:33.754971Z" - } - }, - "outputs": [], - "source": [ - "orange_cmap = seaborn.color_palette('Oranges', 6)\n", - "blue_cmap = seaborn.color_palette('Blues', 6)" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-30T01:19:34.383402Z", - "start_time": "2018-06-30T01:19:34.372873Z" - } - }, - "outputs": [], - "source": [ - "class Handler(object):\n", - " def __init__(self, color1, color2):\n", - " self.color1=color1\n", - " self.color2=color2\n", - " def legend_artist(self, legend, orig_handle, fontsize, handlebox):\n", - " x0, y0 = handlebox.xdescent, handlebox.ydescent\n", - " width, height = handlebox.width, handlebox.height\n", - " patch = mp.Rectangle([x0, y0], width, height, facecolor=self.color1,\n", - " edgecolor='None', transform=handlebox.get_transform())\n", - " patch2 = mp.Rectangle([x0+width/2., y0], width/2., height, facecolor=self.color2,\n", - " edgecolor='None', transform=handlebox.get_transform())\n", - " handlebox.add_artist(patch)\n", - " handlebox.add_artist(patch2)\n", - " return patch" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-30T01:19:36.145137Z", - "start_time": "2018-06-30T01:19:35.591232Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fontsize = 12\n", - "fig = mp.figure(figsize=(4.25,3.25))\n", - "\n", - "ax = fig.add_subplot(111)\n", - "ax.tick_params(labelsize=fontsize)\n", - "\n", - "loc1=1\n", - "loc2=2\n", - "loc3=3.25\n", - "loc4=4.25\n", - "barwidth = .75\n", - "\n", - "ax.set_xlim(loc1-.75,loc4+.75)\n", - "ax.bar(loc1,raintot_diffs_400_PMtoAM_and*24.,fc=blue_cmap[-1],width=barwidth)\n", - "ax.bar(loc1,raintot_diffs_400_AMtoPM_and*24.,bottom=raintot_diffs_400_PMtoAM_and*24.,fc=orange_cmap[-1],width=barwidth)\n", - "\n", - "ax.bar(loc2,raintot_diffs_1000_PMtoAM_and*24.,fc=blue_cmap[-3],width=barwidth)\n", - "ax.bar(loc2,raintot_diffs_1000_AMtoPM_and*24.,bottom=raintot_diffs_1000_PMtoAM_and*24.,fc=orange_cmap[-3],width=barwidth)\n", - "\n", - "ax.set_xticklabels([])\n", - "ax.set_xticks([loc1,loc2,loc3,loc4])\n", - "\n", - "ax.bar(loc3,raintot_diffs_400_PMtoAM_ama*24.,fc=blue_cmap[-1],width=barwidth)\n", - "ax.bar(loc3,raintot_diffs_400_AMtoPM_ama*24.,bottom=raintot_diffs_400_PMtoAM_ama*24.,fc=orange_cmap[-1],width=barwidth)\n", - "\n", - "ax.bar(loc4,raintot_diffs_1000_PMtoAM_ama*24.,fc=blue_cmap[-3],width=barwidth)\n", - "ax.bar(loc4,raintot_diffs_1000_AMtoPM_ama*24.,bottom=raintot_diffs_1000_PMtoAM_ama*24.,fc=orange_cmap[-3],width=barwidth)\n", - "\n", - "ax.set_yticks([0,2,4,6,8,10])\n", - "ax.set_ylabel('mm day$^{\\,-1}$', fontsize=fontsize)\n", - "\n", - "ax.text(s='cont.',x=loc1,y=-.25,fontsize=fontsize,ha='center',va='top')\n", - "ax.text(s='phys.',x=loc2,y=-.25,fontsize=fontsize,ha='center',va='top')\n", - "ax.text(s='cont.',x=loc3,y=-.25,fontsize=fontsize,ha='center',va='top')\n", - "ax.text(s='phys.',x=loc4,y=-.25,fontsize=fontsize,ha='center',va='top')\n", - "ax.text(s='Andes',x=.5*(loc1+loc2),y=-1.25,fontsize=fontsize,ha='center',va='top')\n", - "ax.text(s='Amazon',x=.5*(loc3+loc4),y=-1.25,fontsize=fontsize,ha='center',va='top')\n", - "\n", - "\n", - "# andes night\n", - "fraction = and_PMtoAM_diff/and_total_diff\n", - "y0 = 0\n", - "y1 = raintot_diffs_1000_PMtoAM_and*24\n", - "ax.text(s='{:.0f}'.format(fraction*100.)+'%',x=loc2,y=0.5*(y0+y1),ha='center',va='center',fontsize=fontsize,color='1')\n", - "# andes day\n", - "fraction = and_AMtoPM_diff/and_total_diff\n", - "y0 = raintot_diffs_1000_PMtoAM_and*24\n", - "y1 = (raintot_diffs_1000_PMtoAM_and+raintot_diffs_1000_AMtoPM_and)*24\n", - "ax.text(s='{:.0f}'.format(fraction*100.)+'%',x=loc2,y=0.5*(y0+y1),ha='center',va='center',fontsize=fontsize,color='1')\n", - "\n", - "\n", - "# amazon night\n", - "fraction = -ama_PMtoAM_diff/ama_total_diff\n", - "y0 = 0\n", - "y1 = raintot_diffs_1000_PMtoAM_ama*24\n", - "ax.text(s='{:.0f}'.format(fraction*100.)+'%',x=loc4,y=0.5*(y0+y1),ha='center',va='center',fontsize=fontsize,color='1')\n", - "# amazon day\n", - "fraction = -ama_AMtoPM_diff/ama_total_diff\n", - "y0 = raintot_diffs_1000_PMtoAM_ama*24\n", - "y1 = (raintot_diffs_1000_AMtoPM_ama+raintot_diffs_1000_PMtoAM_ama)*24\n", - "ax.text(s='{:.0f}'.format(fraction*100.)+'%',x=loc4,y=0.5*(y0+y1),ha='center',va='center',fontsize=fontsize,color='1')\n", - "\n", - "\n", - "handles = [mp.Rectangle((0,0),1,1) for i in range(2)]\n", - "colors = [[blue_cmap[-1],blue_cmap[-3]],[orange_cmap[-1],orange_cmap[-3]]]\n", - "hmap = dict(zip(handles, [Handler(color_list[0],color_list[1]) for color_list in colors] ))\n", - "\n", - "labels = ['night', 'day']\n", - "ax.legend(handles=handles, labels=labels, handler_map=hmap, fontsize=fontsize,\\\n", - " loc='upper right', bbox_to_anchor=(.95,.95), borderaxespad=0, labelspacing=0.5, fancybox=False, \\\n", - " edgecolor='0', framealpha=0, borderpad=0.25, handletextpad=0.5)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# big panel plot" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-30T01:34:39.468444Z", - "start_time": "2018-06-30T01:34:34.988970Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fontsize = 12\n", - "\n", - "fig = mp.figure(figsize=(8.5,4))\n", - "\n", - "gs = matplotlib.gridspec.GridSpec(4,2,width_ratios=[1,2])\n", - "\n", - "\n", - "ax1 = fig.add_subplot(gs[0,1])\n", - "ax1.plot(numpy.arange(raintot_diffs_400_latlon_mean_and.size)-5, raintot_diffs_400_latlon_mean_and,\\\n", - " color='0.1',lw=1,label='cont.')\n", - "ax1.plot(numpy.arange(raintot_diffs_400_latlon_mean_and.size)-5, raintot_diffs_1000_latlon_mean_and,\\\n", - " color='firebrick',lw=1,label='phys.')\n", - "ax1.tick_params(labelsize=fontsize)\n", - "ax1.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize, rotation=-90)\n", - "ax1.yaxis.set_label_coords(1.1,0.5)\n", - "ax1.yaxis.tick_right()\n", - "ax1.set_xticks(numpy.arange(0,241,24))\n", - "ax1.set_xlim(0,240)\n", - "handles, labels = ax1.get_legend_handles_labels()\n", - "ax1.set_xticks(numpy.arange(15,241,24), minor=True)\n", - "ax1.xaxis.grid(which='minor')\n", - "ax1.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", - "#ax1.set_ylim(-.2,ax1.get_ylim()[1])\n", - "ax1.set_ylim(ax1.get_ylim()[0],1.3)\n", - "\n", - "\n", - "ax2 = fig.add_subplot(gs[1,1], sharex=ax1)\n", - "ax2.plot(numpy.arange(raintot_diffs_400_latlon_mean_and.size)-5, (raintot_diffs_1000_latlon_mean_and-raintot_diffs_400_latlon_mean_and),\\\n", - " color='0.5',lw=1,label='diff.',zorder=3)\n", - "ax2.tick_params(labelsize=fontsize)\n", - "ax2.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize, rotation=-90)\n", - "ax2.yaxis.set_label_coords(1.1,0.5)\n", - "ax2.yaxis.tick_right()\n", - "ax2.set_xticks(numpy.arange(0,241,24))\n", - "#ax2.set_yticks([-.05,0,.05])\n", - "ax2.set_xlim(0,240)\n", - "ax2.axhline(0, lw=1, ls='--', c='0.1')\n", - "ax2.set_xticks(numpy.arange(18,241,24), minor=True)\n", - "ax2.xaxis.grid(which='minor')\n", - "ax2.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", - "ax2.set_ylim(-.15,.15)\n", - "\n", - "ax3 = fig.add_subplot(gs[2,1], sharex=ax1)\n", - "ax3.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, raintot_diffs_400_latlon_mean_ama,\\\n", - " color='0.1',lw=1,label='cont.')\n", - "ax3.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, raintot_diffs_1000_latlon_mean_ama,\\\n", - " color='firebrick',lw=1,label='phys.')\n", - "ax3.tick_params(labelsize=fontsize)\n", - "ax3.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize, rotation=-90)\n", - "ax3.yaxis.set_label_coords(1.1,0.5)\n", - "ax3.yaxis.tick_right()\n", - "ax3.set_xticks(numpy.arange(0,241,24))\n", - "ax3.set_xlim(0,240)\n", - "ax3.xaxis.grid(which='minor')\n", - "ax3.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", - "handles, labels = ax3.get_legend_handles_labels()\n", - "ax3.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " ncol=2, bbox_to_anchor=(.99,.95), bbox_transform=ax3.transAxes, \\\n", - " loc='upper right', borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", - " edgecolor='0', framealpha=0, borderpad=0.25, columnspacing=0.5, \\\n", - " handletextpad=0.25, markerscale=1)\n", - "ax3.set_xticks(numpy.arange(15,241,24), minor=True)\n", - "\n", - "\n", - "\n", - "ax4 = fig.add_subplot(gs[3,1], sharex=ax1)\n", - "ax4.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, (raintot_diffs_1000_latlon_mean_ama-raintot_diffs_400_latlon_mean_ama),\\\n", - " color='0.5',lw=1,label='diff.')\n", - "ax4.tick_params(labelsize=fontsize)\n", - "ax4.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize, rotation=-90)\n", - "ax4.yaxis.set_label_coords(1.1,0.5)\n", - "ax4.yaxis.tick_right()\n", - "ax4.set_xticks(numpy.arange(0,241,24))\n", - "ax4.set_xlim(0,240)\n", - "handles, labels = ax4.get_legend_handles_labels()\n", - "ax4.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " ncol=1, bbox_to_anchor=(.99,.05), bbox_transform=ax4.transAxes, \\\n", - " loc='lower right', borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", - " edgecolor='0', framealpha=0, borderpad=0.25, columnspacing=0.5, \\\n", - " handletextpad=0.25, markerscale=1)\n", - "ax4.set_xticks(numpy.arange(15,241,24), minor=True)\n", - "ax4.xaxis.grid(which='minor')\n", - "ax4.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", - "ax4.axhline(0, lw=1, ls='--', c='0.1')\n", - "ax4.set_ylim(ax4.get_ylim()[0],0.13)\n", - "ax4.set_xlabel('hour', fontsize=fontsize)\n", - "#ax4.set_xticklabels(ax4.get_xticks())\n", - "\n", - "################################################################################\n", - "################################################################################\n", - "ax = fig.add_subplot(gs[:,0])\n", - "ax.tick_params(labelsize=fontsize)\n", - "loc1=1\n", - "loc2=2\n", - "loc3=3.25\n", - "loc4=4.25\n", - "barwidth = .85\n", - "\n", - "ax.set_xlim(loc1-.75,loc4+.75)\n", - "ax.bar(loc1,raintot_diffs_400_PMtoAM_and*24.,fc=blue_cmap[-1],width=barwidth)\n", - "ax.bar(loc1,raintot_diffs_400_AMtoPM_and*24.,bottom=raintot_diffs_400_PMtoAM_and*24.,fc=orange_cmap[-1],width=barwidth)\n", - "ax.bar(loc2,raintot_diffs_1000_PMtoAM_and*24.,fc=blue_cmap[-3],width=barwidth)\n", - "ax.bar(loc2,raintot_diffs_1000_AMtoPM_and*24.,bottom=raintot_diffs_1000_PMtoAM_and*24.,fc=orange_cmap[-3],width=barwidth)\n", - "ax.set_xticklabels([])\n", - "ax.set_xticks([loc1,loc2,loc3,loc4])\n", - "ax.bar(loc3,raintot_diffs_400_PMtoAM_ama*24.,fc=blue_cmap[-1],width=barwidth)\n", - "ax.bar(loc3,raintot_diffs_400_AMtoPM_ama*24.,bottom=raintot_diffs_400_PMtoAM_ama*24.,fc=orange_cmap[-1],width=barwidth)\n", - "ax.bar(loc4,raintot_diffs_1000_PMtoAM_ama*24.,fc=blue_cmap[-3],width=barwidth)\n", - "ax.bar(loc4,raintot_diffs_1000_AMtoPM_ama*24.,bottom=raintot_diffs_1000_PMtoAM_ama*24.,fc=orange_cmap[-3],width=barwidth)\n", - "ax.set_yticks([0,2,4,6,8,10])\n", - "ax.set_ylabel('mm day$^{\\,-1}$', fontsize=fontsize)\n", - "ax.spines['top'].set_visible(False)\n", - "ax.spines['right'].set_visible(False)\n", - "ax.set_ylim(0,10)\n", - "\n", - "ax.set_xticklabels(['cont.','phys.','cont.','phys.'])\n", - "ax.text(s='Andes',x=.5*(loc1+loc2),y=-1,fontsize=fontsize,ha='center',va='top')\n", - "ax.text(s='Amazon',x=.5*(loc3+loc4),y=-1,fontsize=fontsize,ha='center',va='top')\n", - "# andes night\n", - "fraction = and_PMtoAM_diff/and_total_diff\n", - "y0 = 0\n", - "y1 = raintot_diffs_1000_PMtoAM_and*24\n", - "ax.text(s='{:.0f}'.format(fraction*100.)+'%',x=loc2,y=0.5*(y0+y1),ha='center',va='center',fontsize=fontsize,color='0.1')\n", - "# andes day\n", - "fraction = and_AMtoPM_diff/and_total_diff\n", - "y0 = raintot_diffs_1000_PMtoAM_and*24\n", - "y1 = (raintot_diffs_1000_PMtoAM_and+raintot_diffs_1000_AMtoPM_and)*24\n", - "ax.text(s='{:.0f}'.format(fraction*100.)+'%',x=loc2,y=0.5*(y0+y1),ha='center',va='center',fontsize=fontsize,color='0.1')\n", - "# amazon night\n", - "fraction = -ama_PMtoAM_diff/ama_total_diff\n", - "y0 = 0\n", - "y1 = raintot_diffs_1000_PMtoAM_ama*24\n", - "ax.text(s='{:.0f}'.format(fraction*100.)+'%',x=loc4,y=0.5*(y0+y1),ha='center',va='center',fontsize=fontsize,color='0.1')\n", - "# amazon day\n", - "fraction = -ama_AMtoPM_diff/ama_total_diff\n", - "y0 = raintot_diffs_1000_PMtoAM_ama*24\n", - "y1 = (raintot_diffs_1000_AMtoPM_ama+raintot_diffs_1000_PMtoAM_ama)*24\n", - "ax.text(s='{:.0f}'.format(fraction*100.)+'%',x=loc4,y=0.5*(y0+y1),ha='center',va='center',fontsize=fontsize,color='0.1')\n", - "\n", - "handles = [mp.Rectangle((0,0),1,1) for i in range(2)]\n", - "colors = [[blue_cmap[-1],blue_cmap[-3]],[orange_cmap[-1],orange_cmap[-3]]]\n", - "hmap = dict(zip(handles, [Handler(color_list[0],color_list[1]) for color_list in colors] ))\n", - "labels = ['night', 'day']\n", - "ax.legend(handles=handles, labels=labels, handler_map=hmap, fontsize=fontsize,\\\n", - " loc='upper right', bbox_to_anchor=(.95,.95), borderaxespad=0, labelspacing=0.5, fancybox=False, \\\n", - " edgecolor='0', framealpha=0, borderpad=0.25, handletextpad=0.5)\n", - "\n", - "mp.setp(ax1.get_xticklabels(), visible=False)\n", - "mp.setp(ax2.get_xticklabels(), visible=False)\n", - "mp.setp(ax3.get_xticklabels(), visible=False)\n", - "\n", - "fig.tight_layout()\n", - "gs.update(hspace=0.,wspace=0.05)\n", - "\n", - "ax1.text(s='Andes', x=285, y=ax1.get_ylim()[0],\\\n", - " ha='center',va='center',rotation=-90, fontsize=fontsize)\n", - "\n", - "ax3.text(s='Amazon', x=285, y=ax3.get_ylim()[0],\\\n", - " ha='center',va='center',rotation=-90, fontsize=fontsize)\n", - "\n", - "\n", - "ax.text(s='(a) Mean regional precip.', x=0, y=1.02, fontsize=fontsize, ha='left', va='bottom', transform=ax.transAxes)\n", - "ax1.text(s='(b)', x=0.055, y=0.95, ha='right', va='top', fontsize=fontsize, transform=ax1.transAxes)\n", - "ax2.text(s='(c)', x=0.055, y=0.95, ha='right', va='top', fontsize=fontsize, transform=ax2.transAxes)\n", - "ax3.text(s='(d)', x=0.055, y=0.95, ha='right', va='top', fontsize=fontsize, transform=ax3.transAxes)\n", - "ax4.text(s='(e)', x=0.055, y=0.95, ha='right', va='top', fontsize=fontsize, transform=ax4.transAxes)\n", - "\n", - "fig.savefig('precip_change_and_percentages_daynight.png', dpi=600, bbox_inches='tight', transparent=True)\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# also do for precip over mountainous areas ONLY" - ] - }, - { - "cell_type": "code", - "execution_count": 84, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-01T04:43:16.971797Z", - "start_time": "2018-07-01T04:43:16.963938Z" - } - }, - "outputs": [], - "source": [ - "mp.rcParams.update({'mathtext.default': 'regular'})" - ] - }, - { - "cell_type": "code", - "execution_count": 104, - "metadata": { - "ExecuteTime": { - "end_time": "2018-07-01T05:03:18.253587Z", - "start_time": "2018-07-01T05:03:13.572595Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fontsize = 12\n", - "\n", - "fig = mp.figure(figsize=(8.5,4))\n", - "\n", - "gs = matplotlib.gridspec.GridSpec(4,2,width_ratios=[1,2])\n", - "\n", - "\n", - "ax1 = fig.add_subplot(gs[0,1])\n", - "ax1.plot(numpy.arange(raintot_diffs_400_latlon_mean_and_high.size)-5, raintot_diffs_400_latlon_mean_and_high,\\\n", - " color='0.1',lw=1,label='cont.')\n", - "ax1.plot(numpy.arange(raintot_diffs_400_latlon_mean_and_high.size)-5, raintot_diffs_1000_latlon_mean_and_high,\\\n", - " color='firebrick',lw=1,label='phys.')\n", - "ax1.tick_params(labelsize=fontsize)\n", - "ax1.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize, rotation=-90)\n", - "ax1.yaxis.set_label_coords(1.1,0.5)\n", - "ax1.yaxis.tick_right()\n", - "ax1.set_xticks(numpy.arange(0,241,24))\n", - "ax1.set_xlim(0,240)\n", - "handles, labels = ax1.get_legend_handles_labels()\n", - "ax1.set_xticks(numpy.arange(15,241,24), minor=True)\n", - "ax1.xaxis.grid(which='minor')\n", - "ax1.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", - "ax1.set_ylim(-.3,ax1.get_ylim()[1])\n", - "#ax1.set_ylim(-.5,ax1.get_ylim()[1])\n", - "\n", - "\n", - "ax2 = fig.add_subplot(gs[1,1], sharex=ax1)\n", - "ax2.plot(numpy.arange(raintot_diffs_400_latlon_mean_and_high.size)-5, (raintot_diffs_1000_latlon_mean_and_high-raintot_diffs_400_latlon_mean_and_high),\\\n", - " color='0.5',lw=1,label='diff.',zorder=3)\n", - "ax2.tick_params(labelsize=fontsize)\n", - "ax2.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize, rotation=-90)\n", - "ax2.yaxis.set_label_coords(1.1,0.5)\n", - "ax2.yaxis.tick_right()\n", - "ax2.set_xticks(numpy.arange(0,241,24))\n", - "#ax2.set_yticks([-.05,0,.05])\n", - "ax2.set_xlim(0,240)\n", - "ax2.axhline(0, lw=1, ls='--', c='0.1')\n", - "ax2.set_xticks(numpy.arange(18,241,24), minor=True)\n", - "ax2.xaxis.grid(which='minor')\n", - "ax2.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", - "ax2.set_ylim(ax2.get_ylim()[0],.23)\n", - "\n", - "ax3 = fig.add_subplot(gs[2,1], sharex=ax1)\n", - "ax3.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, raintot_diffs_400_latlon_mean_ama,\\\n", - " color='0.1',lw=1,label='cont.')\n", - "ax3.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, raintot_diffs_1000_latlon_mean_ama,\\\n", - " color='firebrick',lw=1,label='phys.')\n", - "ax3.tick_params(labelsize=fontsize)\n", - "ax3.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize, rotation=-90)\n", - "ax3.yaxis.set_label_coords(1.1,0.5)\n", - "ax3.yaxis.tick_right()\n", - "ax3.set_xticks(numpy.arange(0,241,24))\n", - "ax3.set_xlim(0,240)\n", - "ax3.xaxis.grid(which='minor')\n", - "ax3.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", - "handles, labels = ax3.get_legend_handles_labels()\n", - "ax3.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " ncol=2, bbox_to_anchor=(.99,.95), bbox_transform=ax3.transAxes, \\\n", - " loc='upper right', borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", - " edgecolor='0', framealpha=0, borderpad=0.25, columnspacing=0.5, \\\n", - " handletextpad=0.25, markerscale=1)\n", - "ax3.set_xticks(numpy.arange(15,241,24), minor=True)\n", - "\n", - "\n", - "\n", - "ax4 = fig.add_subplot(gs[3,1], sharex=ax1)\n", - "ax4.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, (raintot_diffs_1000_latlon_mean_ama-raintot_diffs_400_latlon_mean_ama),\\\n", - " color='0.5',lw=1,label='diff.')\n", - "ax4.tick_params(labelsize=fontsize)\n", - "ax4.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize, rotation=-90)\n", - "ax4.yaxis.set_label_coords(1.1,0.5)\n", - "ax4.yaxis.tick_right()\n", - "ax4.set_xticks(numpy.arange(0,241,24))\n", - "ax4.set_xlim(0,240)\n", - "handles, labels = ax4.get_legend_handles_labels()\n", - "ax4.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " ncol=1, bbox_to_anchor=(.99,.05), bbox_transform=ax4.transAxes, \\\n", - " loc='lower right', borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", - " edgecolor='0', framealpha=0, borderpad=0.25, columnspacing=0.5, \\\n", - " handletextpad=0.25, markerscale=1)\n", - "ax4.set_xticks(numpy.arange(15,241,24), minor=True)\n", - "ax4.xaxis.grid(which='minor')\n", - "ax4.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", - "ax4.axhline(0, lw=1, ls='--', c='0.1')\n", - "ax4.set_ylim(ax4.get_ylim()[0],0.13)\n", - "ax4.set_xlabel('hour', fontsize=fontsize)\n", - "#ax4.set_xticklabels(ax4.get_xticks())\n", - "\n", - "################################################################################\n", - "################################################################################\n", - "ax = fig.add_subplot(gs[:,0])\n", - "ax.tick_params(labelsize=fontsize)\n", - "loc1=1\n", - "loc2=2\n", - "loc3=3.25\n", - "loc4=4.25\n", - "barwidth = .9\n", - "\n", - "ax.set_xlim(loc1-.75,loc4+.75)\n", - "ax.bar(loc1,raintot_diffs_400_PMtoAM_and_high*24.,fc=blue_cmap[-1],width=barwidth)\n", - "ax.bar(loc1,raintot_diffs_400_AMtoPM_and_high*24.,bottom=raintot_diffs_400_PMtoAM_and_high*24.,fc=orange_cmap[-1],width=barwidth)\n", - "ax.bar(loc2,raintot_diffs_1000_PMtoAM_and_high*24.,fc=blue_cmap[-3],width=barwidth)\n", - "ax.bar(loc2,raintot_diffs_1000_AMtoPM_and_high*24.,bottom=raintot_diffs_1000_PMtoAM_and_high*24.,fc=orange_cmap[-3],width=barwidth)\n", - "ax.set_xticklabels([])\n", - "ax.set_xticks([loc1,loc2,loc3,loc4])\n", - "ax.bar(loc3,raintot_diffs_400_PMtoAM_ama*24.,fc=blue_cmap[-1],width=barwidth)\n", - "ax.bar(loc3,raintot_diffs_400_AMtoPM_ama*24.,bottom=raintot_diffs_400_PMtoAM_ama*24.,fc=orange_cmap[-1],width=barwidth)\n", - "ax.bar(loc4,raintot_diffs_1000_PMtoAM_ama*24.,fc=blue_cmap[-3],width=barwidth)\n", - "ax.bar(loc4,raintot_diffs_1000_AMtoPM_ama*24.,bottom=raintot_diffs_1000_PMtoAM_ama*24.,fc=orange_cmap[-3],width=barwidth)\n", - "ax.set_yticks([0,5,10,15])\n", - "ax.set_ylabel('mm day$^{\\,-1}$', fontsize=fontsize)\n", - "ax.spines['top'].set_visible(False)\n", - "ax.spines['right'].set_visible(False)\n", - "ax.set_ylim(0,15)\n", - "\n", - "ax.set_xticklabels(['cont.','phys.','cont.','phys.'])\n", - "ax.text(s='Andes',x=.5*(loc1+loc2),y=-1.75,fontsize=fontsize,ha='center',va='top')\n", - "ax.text(s='Amazon',x=.5*(loc3+loc4),y=-1.75,fontsize=fontsize,ha='center',va='top')\n", - "# andes night\n", - "fraction = and_high_PMtoAM_diff/and_high_total_diff\n", - "y0 = raintot_diffs_1000_PMtoAM_and_high*24\n", - "ax.text(s='${:.0f}$'.format(fraction*100.)+'%',x=loc2,y=0.5*y0,ha='center',va='center',fontsize=fontsize,color='0.1')\n", - "# andes day\n", - "fraction = and_high_AMtoPM_diff/and_high_total_diff\n", - "y0 = raintot_diffs_1000_PMtoAM_and_high*24\n", - "y1 = raintot_diffs_1000_AMtoPM_and_high*24\n", - "ax.text(s='${:.0f}$'.format(fraction*100.)+'%',x=loc2,y=y0+0.5*y1,ha='center',va='center',fontsize=fontsize,color='0.1')\n", - "# amazon night\n", - "fraction = ama_PMtoAM_diff/ama_total_diff\n", - "y0 = raintot_diffs_1000_PMtoAM_ama*24\n", - "ax.text(s='${:.0f}$'.format(fraction*100.)+'%',x=loc4,y=0.5*y0,ha='center',va='center',fontsize=fontsize,color='0.1')\n", - "# amazon day\n", - "fraction = ama_AMtoPM_diff/ama_total_diff\n", - "y0 = raintot_diffs_1000_PMtoAM_ama*24\n", - "y1 = raintot_diffs_1000_AMtoPM_ama*24\n", - "ax.text(s='${:.0f}$'.format(fraction*100.)+'%',x=loc4,y=y0+0.5*y1,ha='center',va='center',fontsize=fontsize,color='0.1')\n", - "\n", - "fraction = and_high_total_diff/raintot_diffs_400_timemean_and_high\n", - "y0 = raintot_diffs_400_PMtoAM_and_high*24\n", - "ax.text(s='${:.0f}$'.format(fraction*100.)+'%\\ninc.',x=loc1,y=y0,ha='center',va='center',fontsize=fontsize,color='.9')\n", - "\n", - "fraction = -ama_total_diff/raintot_diffs_400_timemean_ama\n", - "y0 = raintot_diffs_400_PMtoAM_ama*24\n", - "ax.text(s='${:.0f}$'.format(fraction*100.)+'%\\ndec.',x=loc3,y=y0,ha='center',va='center',fontsize=fontsize,color='.9')\n", - "\n", - "handles = [mp.Rectangle((0,0),1,1) for i in range(2)]\n", - "colors = [[blue_cmap[-1],blue_cmap[-3]],[orange_cmap[-1],orange_cmap[-3]]]\n", - "hmap = dict(zip(handles, [Handler(color_list[0],color_list[1]) for color_list in colors] ))\n", - "labels = ['night', 'day']\n", - "ax.legend(handles=handles, labels=labels, handler_map=hmap, fontsize=fontsize,\\\n", - " loc='upper right', bbox_to_anchor=(.95,.95), borderaxespad=0, labelspacing=0.5, fancybox=False, \\\n", - " edgecolor='0', framealpha=0, borderpad=0.25, handletextpad=0.5)\n", - "\n", - "mp.setp(ax1.get_xticklabels(), visible=False)\n", - "mp.setp(ax2.get_xticklabels(), visible=False)\n", - "mp.setp(ax3.get_xticklabels(), visible=False)\n", - "\n", - "fig.tight_layout()\n", - "gs.update(hspace=0.,wspace=0.05)\n", - "\n", - "ax1.text(s='Andes', x=285, y=ax1.get_ylim()[0],\\\n", - " ha='center',va='center',rotation=-90, fontsize=fontsize)\n", - "\n", - "ax3.text(s='Amazon', x=285, y=ax3.get_ylim()[0],\\\n", - " ha='center',va='center',rotation=-90, fontsize=fontsize)\n", - "\n", - "\n", - "ax.text(s='(a) Mean regional precip.', x=0, y=1.02, fontsize=fontsize, ha='left', va='bottom', transform=ax.transAxes)\n", - "ax1.text(s='(b)', x=0.055, y=0.95, ha='right', va='top', fontsize=fontsize, transform=ax1.transAxes)\n", - "ax2.text(s='(c)', x=0.055, y=0.95, ha='right', va='top', fontsize=fontsize, transform=ax2.transAxes)\n", - "ax3.text(s='(d)', x=0.055, y=0.95, ha='right', va='top', fontsize=fontsize, transform=ax3.transAxes)\n", - "ax4.text(s='(e)', x=0.055, y=0.95, ha='right', va='top', fontsize=fontsize, transform=ax4.transAxes)\n", - "\n", - "fig.savefig('precip_change_and_high_percentages_daynight_high_andes.png', dpi=600, bbox_inches='tight', transparent=True)\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 171, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T19:24:44.420923Z", - "start_time": "2018-06-29T19:24:44.121740Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fontsize = 12\n", - "\n", - "fig = mp.figure(figsize=(8.5,3))\n", - "\n", - "ax = fig.add_subplot(111)\n", - "\n", - "ax.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, raintot_diffs_400_latlon_mean_ama,\\\n", - " color='0.1',lw=2,label='cont.')\n", - "ax.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, raintot_diffs_1000_latlon_mean_ama,\\\n", - " color='firebrick',lw=2,label='phys.')\n", - "\n", - "ax.tick_params(labelsize=fontsize)\n", - "ax.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize)\n", - "ax.set_xlabel('hour', fontsize=fontsize)\n", - "\n", - "ax.set_xticks(numpy.arange(0,241,24))\n", - "ax.set_yticks([0,.2,.4,.6,.8,1])\n", - "ax.set_xlim(0,240)\n", - "ax.set_ylim(0,1)\n", - "\n", - "handles, labels = ax.get_legend_handles_labels()\n", - "ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " ncol=1, bbox_to_anchor=(.99,.95), bbox_transform=ax.transAxes, \\\n", - " loc='upper right', borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", - " edgecolor='0', framealpha=0, borderpad=0.25, columnspacing=0.5, \\\n", - " handletextpad=0.25, markerscale=1)\n", - "\n", - "ax.set_xticks(numpy.arange(15,241,24), minor=True)\n", - "#ax.set_xticks(numpy.arange(20,241,24), minor=True)\n", - "#ax.minorticks_off()\n", - "ax.xaxis.grid(which='minor')\n", - "\n", - "ax.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 148, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T19:14:57.834833Z", - "start_time": "2018-06-29T19:14:57.549560Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 148, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fontsize = 12\n", - "\n", - "fig = mp.figure(figsize=(8.5,3))\n", - "\n", - "ax = fig.add_subplot(111)\n", - "\n", - "ax.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, raintot_diffs_1000_latlon_mean_ama-raintot_diffs_400_latlon_mean_ama,\\\n", - " color='0.1',lw=2,label='diff.')\n", - "# ax.plot(numpy.arange(raintot_diffs_400_latlon_mean_ama.size)-4, raintot_diffs_1000_latlon_mean_ama,\\\n", - "# color='firebrick',lw=2,label='phys.')\n", - "\n", - "ax.tick_params(labelsize=fontsize)\n", - "ax.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize)\n", - "ax.set_xlabel('hour', fontsize=fontsize)\n", - "\n", - "ax.set_xticks(numpy.arange(0,241,24))\n", - "#ax.set_yticks([0,.2,.4,.6,.8])\n", - "ax.set_xlim(0,240)\n", - "#ax.set_ylim(0,.85)\n", - "\n", - "handles, labels = ax.get_legend_handles_labels()\n", - "ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " ncol=1, bbox_to_anchor=(.99,.95), bbox_transform=ax.transAxes, \\\n", - " loc='upper right', borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", - " edgecolor='0', framealpha=0, borderpad=0.25, columnspacing=0.5, \\\n", - " handletextpad=0.25, markerscale=1)\n", - "\n", - "ax.set_xticks(numpy.arange(15,241,24), minor=True)\n", - "#ax.minorticks_off()\n", - "ax.xaxis.grid(which='minor')\n", - "\n", - "ax.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n", - "ax.axhline(0, lw=1, ls='--', c='0.1')" - ] - }, - { - "cell_type": "code", - "execution_count": 186, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T19:28:44.126077Z", - "start_time": "2018-06-29T19:28:43.840125Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fontsize = 12\n", - "\n", - "fig = mp.figure(figsize=(8.5,2))\n", - "\n", - "ax = fig.add_subplot(111)\n", - "\n", - "ax.plot(numpy.arange(raintot_diffs_400_latlon_mean_and.size)-5, raintot_diffs_400_latlon_mean_and,\\\n", - " color='0.1',lw=2,label='cont.',zorder=3)\n", - "ax.plot(numpy.arange(raintot_diffs_400_latlon_mean_and.size)-5, raintot_diffs_1000_latlon_mean_and,\\\n", - " color='firebrick',lw=2,label='phys.')\n", - "\n", - "ax.tick_params(labelsize=fontsize)\n", - "ax.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize)\n", - "ax.set_xlabel('hour', fontsize=fontsize)\n", - "\n", - "ax.set_xticks(numpy.arange(0,241,24))\n", - "ax.set_yticks([0,.2,.4,.6,.8,1])\n", - "ax.set_xlim(0,240)\n", - "ax.set_ylim(0.1,1.1)\n", - "\n", - "handles, labels = ax.get_legend_handles_labels()\n", - "ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " ncol=1, bbox_to_anchor=(.99,.95), bbox_transform=ax.transAxes, \\\n", - " loc='upper right', borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", - " edgecolor='0', framealpha=0, borderpad=0.25, columnspacing=0.5, \\\n", - " handletextpad=0.25, markerscale=1)\n", - "\n", - "ax.set_xticks(numpy.arange(10,241,24), minor=True)\n", - "ax.xaxis.grid(which='minor')\n", - "\n", - "ax.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 184, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T19:28:21.741727Z", - "start_time": "2018-06-29T19:28:21.470440Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fontsize = 12\n", - "\n", - "fig = mp.figure(figsize=(8.5,2))\n", - "\n", - "ax = fig.add_subplot(111)\n", - "\n", - "ax.plot(numpy.arange(raintot_diffs_400_latlon_mean_and.size)-5, raintot_diffs_1000_latlon_mean_and-raintot_diffs_400_latlon_mean_and,\\\n", - " color='0.1',lw=2,label='diff.',zorder=3)\n", - "# ax.plot(numpy.arange(raintot_diffs_400_latlon_mean_and.size)-5, raintot_diffs_1000_latlon_mean_and,\\\n", - "# color='firebrick',lw=2,label='phys.')\n", - "\n", - "ax.tick_params(labelsize=fontsize)\n", - "ax.set_ylabel('mm h$^{\\,-1}$', fontsize=fontsize)\n", - "ax.set_xlabel('hour', fontsize=fontsize)\n", - "\n", - "ax.set_xticks(numpy.arange(0,241,24))\n", - "#ax.set_yticks([0,.2,.4,.6,.8,1])\n", - "ax.set_xlim(0,240)\n", - "#ax.set_ylim(0.1,1.1)\n", - "ax.axhline(0, lw=1, ls='--', c='0.1')\n", - "\n", - "handles, labels = ax.get_legend_handles_labels()\n", - "ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " ncol=1, bbox_to_anchor=(.99,.95), bbox_transform=ax.transAxes, \\\n", - " loc='upper right', borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", - " edgecolor='0', framealpha=0, borderpad=0.25, columnspacing=0.5, \\\n", - " handletextpad=0.25, markerscale=1)\n", - "\n", - "ax.set_xticks(numpy.arange(18,241,24), minor=True)\n", - "ax.xaxis.grid(which='minor')\n", - "\n", - "ax.tick_params(axis='x',which='minor',bottom=False,labelbottom=False)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# tk diffs" - ] - }, - { - "cell_type": "code", - "execution_count": 562, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T06:15:57.941316Z", - "start_time": "2018-06-29T06:14:41.695003Z" - } - }, - "outputs": [], - "source": [ - "tk_400_latlon_subset = tk_400[:,:,latlon_indices]\n", - "tk_1000_latlon_subset = tk_1000[:,:,latlon_indices]\n", - "\n", - "tk_400_latlon_mean = numpy.nanmean(tk_400_latlon_subset, axis=2)\n", - "tk_1000_latlon_mean = numpy.nanmean(tk_1000_latlon_subset, axis=2)" - ] - }, - { - "cell_type": "code", - "execution_count": 563, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T06:15:58.061304Z", - "start_time": "2018-06-29T06:15:57.949866Z" - } - }, - "outputs": [], - "source": [ - "tk_400_latlon_alltime = numpy.nanmean(tk_400_latlon_subset, axis=(0,2))\n", - "tk_1000_latlon_alltime = numpy.nanmean(tk_1000_latlon_subset, axis=(0,2))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# qvapor diffs" - ] - }, - { - "cell_type": "code", - "execution_count": 564, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T06:19:58.070992Z", - "start_time": "2018-06-29T06:16:10.604997Z" - } - }, - "outputs": [], - "source": [ - "qvapor_400_latlon_subset = qvapor_400.values[:,:,latlon_indices]\n", - "qvapor_1000_latlon_subset = qvapor_1000.values[:,:,latlon_indices]\n", - "\n", - "qvapor_400_latlon_mean = numpy.nanmean(qvapor_400_latlon_subset, axis=(2))\n", - "qvapor_1000_latlon_mean = numpy.nanmean(qvapor_1000_latlon_subset, axis=(2))\n", - "\n", - "qvapor_diffs_latlon_mean = qvapor_1000_latlon_mean-qvapor_400_latlon_mean" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# cape diffs" - ] - }, - { - "cell_type": "code", - "execution_count": 565, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T06:21:03.485345Z", - "start_time": "2018-06-29T06:20:04.309207Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", - " after removing the cwd from sys.path.\n" - ] - } - ], - "source": [ - "cape3d_cape_400_latlon_subset = cape3d_400[0,:,:,:,:][:,:,latlon_indices]\n", - "cape3d_cape_1000_latlon_subset = cape3d_1000[0,:,:,:,:][:,:,latlon_indices]\n", - "\n", - "cape3d_cape_diffs_latlon_mean = numpy.nanmean((cape3d_cape_1000_latlon_subset-cape3d_cape_400_latlon_subset), axis=2)" - ] - }, - { - "cell_type": "code", - "execution_count": 368, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-28T01:51:35.833827Z", - "start_time": "2018-06-28T01:51:35.639060Z" - } - }, - "outputs": [], - "source": [ - "cape2d_diffs = cape2d_1000-cape2d_400\n", - "\n", - "cape2d_mcape_diffs = cape2d_diffs[0,:,:,:]\n", - "cape2d_mcin_diffs = cape2d_diffs[1,:,:,:]\n", - "cape2d_lcl_diffs = cape2d_diffs[2,:,:,:]\n", - "cape2d_lfc_diffs = cape2d_diffs[3,:,:,:]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# plot skew T" - ] - }, - { - "cell_type": "code", - "execution_count": 566, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T07:05:11.078343Z", - "start_time": "2018-06-29T07:05:10.712731Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(,\n", - " )" - ] - }, - "execution_count": 566, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "metpy.calc.surface_based_cape_cin(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", - " (tk_400_latlon_afternoon[:]-273.15)*metpy.units.units.degC, \\\n", - " (td_400_latlon_afternoon[:]-273.15)*metpy.units.units.degC)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# cape calculations" - ] - }, - { - "cell_type": "code", - "execution_count": 567, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T07:05:18.051397Z", - "start_time": "2018-06-29T07:05:17.370276Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(, )\n", - "(, )\n" - ] - } - ], - "source": [ - "ptot_lo = 100\n", - "ptot_hi = 1013.25\n", - "hour = 19\n", - "\n", - "ptot_indices = (ptot_latlon_subset_timemean/100.<=ptot_hi)&(ptot_latlon_subset_timemean/100.>=ptot_lo)\n", - "\n", - "cape_400 = metpy.calc.surface_based_cape_cin(ptot_latlon_subset_timemean[ptot_indices]/100.*metpy.units.units.hPa, \\\n", - " (tk_400_latlon_mean[hour,ptot_indices]-273.15)*metpy.units.units.degC, \\\n", - " (td_400_latlon_mean[hour,ptot_indices]-273.15)*metpy.units.units.degC)\n", - "\n", - "cape_1000 = metpy.calc.surface_based_cape_cin(ptot_latlon_subset_timemean[ptot_indices]/100.*metpy.units.units.hPa, \\\n", - " (tk_1000_latlon_mean[hour,ptot_indices]-273.15)*metpy.units.units.degC, \\\n", - " (td_1000_latlon_mean[hour,ptot_indices]-273.15)*metpy.units.units.degC)\n", - "\n", - "print(cape_400)\n", - "print(cape_1000)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "3-hour afternoon mean" - ] - }, - { - "cell_type": "raw", - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-28T22:48:05.917221Z", - "start_time": "2018-06-28T22:48:05.471278Z" - } - }, - "source": [ - "ptot_lo = 300\n", - "ptot_hi = 1013.25\n", - "hour = 19\n", - "\n", - "tk_400_afternoon = numpy.nanmean(tk_400_latlon_mean[(hour-1):(hour+2),:], axis=0)\n", - "td_400_afternoon = numpy.nanmean(td_400_latlon_mean[(hour-1):(hour+2),:], axis=0)\n", - "\n", - "ptot_indices = (ptot_latlon_subset_timemean/100.<=ptot_hi)&(ptot_latlon_subset_timemean/100.>=ptot_lo)\n", - "\n", - "cape_400 = metpy.calc.surface_based_cape_cin(ptot_latlon_subset_timemean[ptot_indices]/100.*metpy.units.units.hPa, \\\n", - " (tk_400_afternoon[ptot_indices]-273.15)*metpy.units.units.degC, \\\n", - " (td_400_afternoon[ptot_indices]-273.15)*metpy.units.units.degC)\n", - "\n", - "cape_1000 = metpy.calc.surface_based_cape_cin(ptot_latlon_subset_timemean[ptot_indices]/100.*metpy.units.units.hPa, \\\n", - " (tk_1000_latlon_mean[hour,ptot_indices]-273.15)*metpy.units.units.degC, \\\n", - " (td_1000_latlon_mean[hour,ptot_indices]-273.15)*metpy.units.units.degC)\n", - "\n", - "print(cape_400)\n", - "print(cape_1000)" - ] - }, - { - "cell_type": "raw", - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-28T03:25:25.377744Z", - "start_time": "2018-06-28T03:25:23.942102Z" - } - }, - "source": [ - "ptot_lo = 300\n", - "ptot_hi = 1013.25\n", - "\n", - "ptot_indices = (ptot_latlon_subset_timemean/100.<=ptot_hi)&(ptot_latlon_subset_timemean/100.>=ptot_lo)\n", - "\n", - "cape_400 = metpy.calc.surface_based_cape_cin(ptot_latlon_subset_timemean[ptot_indices]/100.*metpy.units.units.hPa, \\\n", - " (tk_400_latlon_alltime[ptot_indices]-273.15)*metpy.units.units.degC, \\\n", - " (td_400_latlon_alltime[ptot_indices]-273.15)*metpy.units.units.degC)\n", - "\n", - "cape_1000 = metpy.calc.surface_based_cape_cin(ptot_latlon_subset_timemean[ptot_indices]/100.*metpy.units.units.hPa, \\\n", - " (tk_1000_latlon_alltime[ptot_indices]-273.15)*metpy.units.units.degC, \\\n", - " (td_1000_latlon_alltime[ptot_indices]-273.15)*metpy.units.units.degC)\n", - "\n", - "print(cape_400)\n", - "print(cape_1000)" - ] - }, - { - "cell_type": "code", - "execution_count": 568, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T07:05:24.342157Z", - "start_time": "2018-06-29T07:05:24.334604Z" - } - }, - "outputs": [], - "source": [ - "color_list = [\\\n", - "matplotlib.cm.tab20c(4/20), \\\n", - "matplotlib.cm.tab20c(5.5/20), \\\n", - "matplotlib.cm.tab20c(0/20), \\\n", - "matplotlib.cm.tab20c(1.5/20) ]" - ] - }, - { - "cell_type": "raw", - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T06:09:30.105315Z", - "start_time": "2018-06-29T06:09:25.552079Z" - } - }, - "source": [ - "fontsize=12\n", - "hour = 19\n", - "\n", - "skewt_plot = metpy.plots.SkewT()\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_1000_latlon_mean[hour,:]-273.15, lw=3, label='phys. T$_{env}$', c=color_list[0])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_400_latlon_mean[hour,:]-273.15, lw=3, label='cont. T$_{env}$', ls='--', c=color_list[1])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_1000_latlon_mean[hour,:]-273.15, lw=3, label='phys. T$_d$', c=color_list[2])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_400_latlon_mean[hour,:]-273.15, lw=3, label='cont. T$_d$', ls='--', c=color_list[3])\n", - "\n", - "pprofile_400 = metpy.calc.parcel_profile(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", - " (tk_400_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC, \\\n", - " (td_400_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC).to('degC')\n", - "pprofile_1000 = metpy.calc.parcel_profile(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", - " (tk_1000_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC, \\\n", - " (td_1000_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC).to('degC')\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_1000, label='phys. profile', c='0.1', lw=3, ls='-')\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_400, label='cont. profile', c='0.5', lw=3, ls='--')\n", - "\n", - "\n", - "# fill in control and phys CAPE\n", - "skewt_plot.shade_cape(ptot_latlon_subset_timemean/100.,\\\n", - " tk_1000_latlon_mean[hour,:]-273.15,\\\n", - " numpy.array(pprofile_1000),\\\n", - " edgecolor='None',facecolor=matplotlib.cm.tab20c(8/20),alpha=0.666,\\\n", - " label='phys. CAPE')\n", - "\n", - "skewt_plot.shade_cape(ptot_latlon_subset_timemean/100.,\\\n", - " tk_400_latlon_mean[hour,:]-273.15,\\\n", - " numpy.array(pprofile_400),\\\n", - " edgecolor='None',facecolor=matplotlib.cm.tab20c(8/20),alpha=0.333,\\\n", - " label='cont. CAPE')\n", - "\n", - "skewt_plot.ax.set_ylim(1013.25,600)\n", - "skewt_plot.ax.set_xlim(10,30)\n", - "\n", - "fig = mp.gcf()\n", - "fig.set_size_inches(4.45,4.25)\n", - "fig.tight_layout()\n", - "\n", - "skewt_plot.ax.tick_params(labelsize=fontsize)\n", - "skewt_plot.ax.set_ylabel('hPa', fontsize=fontsize)\n", - "skewt_plot.ax.set_xlabel('$\\degree$C', fontsize=fontsize)\n", - "\n", - "skewt_plot.plot_dry_adiabats(color='0.5',linewidth=1,linestyle='-')\n", - "skewt_plot.plot_moist_adiabats(color='0.5',linestyle=':')\n", - "skewt_plot.plot_mixing_lines(color='0.5',linestyle='--',lw=1)\n", - "\n", - "handles, labels = skewt_plot.ax.get_legend_handles_labels()\n", - "skewt_plot.ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " bbox_to_anchor=(1.03,1.0), \\\n", - " bbox_transform=skewt_plot.ax.transAxes, loc='upper left', \\\n", - " borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", - " edgecolor='0', framealpha=0, borderpad=0.25, \\\n", - " columnspacing=0.5, handletextpad=0.5, markerscale=1)\n", - "\n", - "skewt_plot.ax.text(s='skew-T diagram at 15:00 on day 1',\\\n", - " x=0,y=1.02,\\\n", - " transform=skewt_plot.ax.transAxes,\\\n", - " ha='left',va='bottom', fontsize=fontsize)\n", - "\n", - "skewt_plot.ax.annotate(\"\",xy=(11.6,700), \\\n", - " xycoords='data',\\\n", - " xytext=(13.6, 700), \\\n", - " textcoords='data',\\\n", - " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=10))\n", - "\n", - "skewt_plot.ax.annotate(\"\",xy=(10.9,700), \\\n", - " xycoords='data',\\\n", - " xytext=(8.9, 700), \\\n", - " textcoords='data',\\\n", - " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=10))\n", - "\n", - "CAPE_CIN_text = 'CAPE$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[0]))+' J kg$^{\\,-1}$\\n'\\\n", - " 'CAPE$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[0]))+' J kg$^{\\,-1}$\\n'\\\n", - " 'CIN$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[1]))+' J kg$^{\\,-1}$\\n'\\\n", - " 'CIN$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[1]))+' J kg$^{\\,-1}$'\n", - "skewt_plot.ax.text(s=CAPE_CIN_text,x=1.02,y=0,ha='left',va='bottom',transform=skewt_plot.ax.transAxes,fontsize=fontsize)\n", - "\n", - "fig.savefig('manuscript_both_cape_skewT_hour'+str(hour-4)+'_zoom_amazon_region.png', dpi=600, bbox_inches='tight', transparent=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 570, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T07:06:32.690533Z", - "start_time": "2018-06-29T07:06:28.233962Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fontsize=12\n", - "hour = 19\n", - "\n", - "skewt_plot = metpy.plots.SkewT()\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_1000_latlon_mean[hour,:]-273.15, lw=3, label='phys. T$_{env}$', c=color_list[0])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_400_latlon_mean[hour,:]-273.15, lw=3, label='cont. T$_{env}$', ls='--', c=color_list[1])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_1000_latlon_mean[hour,:]-273.15, lw=3, label='phys. T$_d$', c=color_list[2])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_400_latlon_mean[hour,:]-273.15, lw=3, label='cont. T$_d$', ls='--', c=color_list[3])\n", - "\n", - "pprofile_400 = metpy.calc.parcel_profile(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", - " (tk_400_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC, \\\n", - " (td_400_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC).to('degC')\n", - "pprofile_1000 = metpy.calc.parcel_profile(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", - " (tk_1000_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC, \\\n", - " (td_1000_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC).to('degC')\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_1000, label='phys. profile', c='0.1', lw=3, ls='-')\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_400, label='cont. profile', c='0.5', lw=3, ls='--')\n", - "\n", - "\n", - "# fill in control and phys CAPE\n", - "skewt_plot.shade_cape(ptot_latlon_subset_timemean/100.,\\\n", - " tk_1000_latlon_mean[hour,:]-273.15,\\\n", - " numpy.array(pprofile_1000),\\\n", - " edgecolor='None',facecolor=matplotlib.cm.tab20c(8/20),alpha=0.666,\\\n", - " label='phys. CAPE')\n", - "\n", - "skewt_plot.shade_cape(ptot_latlon_subset_timemean/100.,\\\n", - " tk_400_latlon_mean[hour,:]-273.15,\\\n", - " numpy.array(pprofile_400),\\\n", - " edgecolor='None',facecolor=matplotlib.cm.tab20c(8/20),alpha=0.333,\\\n", - " label='cont. CAPE')\n", - "\n", - "skewt_plot.ax.set_ylim(1013.25,600)\n", - "skewt_plot.ax.set_xlim(10,25)\n", - "\n", - "fig = mp.gcf()\n", - "fig.set_size_inches(4.45,4.25)\n", - "fig.tight_layout()\n", - "\n", - "skewt_plot.ax.tick_params(labelsize=fontsize)\n", - "skewt_plot.ax.set_ylabel('hPa', fontsize=fontsize)\n", - "skewt_plot.ax.set_xlabel('$\\degree$C', fontsize=fontsize)\n", - "\n", - "skewt_plot.plot_dry_adiabats(color='0.5',linewidth=1,linestyle='-')\n", - "skewt_plot.plot_moist_adiabats(color='0.5',linestyle=':')\n", - "skewt_plot.plot_mixing_lines(color='0.5',linestyle='--',lw=1)\n", - "\n", - "handles, labels = skewt_plot.ax.get_legend_handles_labels()\n", - "skewt_plot.ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " bbox_to_anchor=(1.03,1.0), \\\n", - " bbox_transform=skewt_plot.ax.transAxes, loc='upper left', \\\n", - " borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", - " edgecolor='0', framealpha=0, borderpad=0.25, \\\n", - " columnspacing=0.5, handletextpad=0.5, markerscale=1)\n", - "\n", - "skewt_plot.ax.text(s='skew-T diagram at 15:00 on day 1',\\\n", - " x=0,y=1.02,\\\n", - " transform=skewt_plot.ax.transAxes,\\\n", - " ha='left',va='bottom', fontsize=fontsize)\n", - "\n", - "skewt_plot.ax.annotate(\"\",xy=(11.6,700), \\\n", - " xycoords='data',\\\n", - " xytext=(13.6, 700), \\\n", - " textcoords='data',\\\n", - " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=10))\n", - "\n", - "skewt_plot.ax.annotate(\"\",xy=(10.9,700), \\\n", - " xycoords='data',\\\n", - " xytext=(8.9, 700), \\\n", - " textcoords='data',\\\n", - " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=10))\n", - "\n", - "CAPE_CIN_text = 'CAPE$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[0]))+' J kg$^{\\,-1}$\\n'\\\n", - " 'CAPE$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[0]))+' J kg$^{\\,-1}$\\n'\\\n", - " 'CIN$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[1]))+' J kg$^{\\,-1}$\\n'\\\n", - " 'CIN$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[1]))+' J kg$^{\\,-1}$'\n", - "skewt_plot.ax.text(s=CAPE_CIN_text,x=1.02,y=0,ha='left',va='bottom',transform=skewt_plot.ax.transAxes,fontsize=fontsize)\n", - "\n", - "fig.savefig('manuscript_both_cape_skewT_hour'+str(hour-4)+'_zoom_andes_region.png', dpi=600, bbox_inches='tight', transparent=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 521, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T00:57:53.980085Z", - "start_time": "2018-06-29T00:57:53.969531Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array([98988.7 , 98177.6 , 97081.016 , 95699.65 , 93986.85 ,\n", - " 91848.81 , 89287.35 , 85631.54 , 81077.586 , 76537.695 ,\n", - " 72010.04 , 65841.89 , 58397.23 , 51654.656 , 45552.992 ,\n", - " 40037.746 , 35059.363 , 30573.596 , 26540.547 , 22925.326 ,\n", - " 19698.107 , 16828.598 , 14325.336 , 12189.765 , 10372.6045,\n", - " 8826.341 , 7510.532 , 6390.814 , 5438.001 ], dtype=float32)" - ] - }, - "execution_count": 521, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ptot_latlon_subset_timemean" - ] - }, - { - "cell_type": "raw", - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T06:09:05.806762Z", - "start_time": "2018-06-29T06:08:59.252380Z" - } - }, - "source": [ - "fontsize=12\n", - "hour = 18\n", - "\n", - "skewt_plot = metpy.plots.SkewT()\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_1000_latlon_mean[hour,:]-273.15, lw=3, label='phys. Tenv', c='firebrick')\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_400_latlon_mean[hour,:]-273.15, lw=3, label='cont. Tenv', c='coral', ls='--')\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_1000_latlon_mean[hour,:]-273.15, lw=3, label='phys. Td', c='dodgerblue')\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_400_latlon_mean[hour,:]-273.15, lw=3, label='cont. Td', c='skyblue', ls='--')\n", - "\n", - "pprofile_400 = metpy.calc.parcel_profile(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", - " (tk_400_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC, \\\n", - " (td_400_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC).to('degC')\n", - "pprofile_1000 = metpy.calc.parcel_profile(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", - " (tk_1000_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC, \\\n", - " (td_1000_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC).to('degC')\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_1000, label='phys. profile', c='0.1', lw=3, ls='-')\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_400, label='cont. profile', c='0.5', lw=3, ls='--')\n", - "\n", - "skewt_plot.ax.set_ylim(1013.25,100)\n", - "skewt_plot.ax.set_xlim(-45,35)\n", - "\n", - "fig = mp.gcf()\n", - "fig.set_size_inches(6.5,6.5)\n", - "fig.tight_layout()\n", - "\n", - "skewt_plot.ax.tick_params(labelsize=fontsize)\n", - "skewt_plot.ax.set_ylabel('hPa', fontsize=fontsize)\n", - "skewt_plot.ax.set_xlabel('$\\degree$C', fontsize=fontsize)\n", - "\n", - "skewt_plot.plot_dry_adiabats(color='0.1',linewidth=1,linestyle='-')\n", - "skewt_plot.plot_moist_adiabats(color='0.1',linestyle=':')\n", - "skewt_plot.plot_mixing_lines(color='0.1',linestyle='--')\n", - "\n", - "handles, labels = skewt_plot.ax.get_legend_handles_labels()\n", - "skewt_plot.ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " bbox_to_anchor=(1.03,1.0), \\\n", - " bbox_transform=skewt_plot.ax.transAxes, loc='upper left', \\\n", - " borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", - " edgecolor='0', framealpha=0, borderpad=0.25, \\\n", - " columnspacing=0.5, handletextpad=0.5, markerscale=1)\n", - "\n", - "fig.savefig('both_cape_skewT_hour'+str(hour-4)+'_amazon_region.png', dpi=600, bbox_inches='tight', transparent=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 571, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T07:07:29.023759Z", - "start_time": "2018-06-29T07:07:22.459716Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fontsize=12\n", - "hour = 18\n", - "\n", - "skewt_plot = metpy.plots.SkewT()\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_1000_latlon_mean[hour,:]-273.15, lw=3, label='phys. Tenv', c='firebrick')\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_400_latlon_mean[hour,:]-273.15, lw=3, label='cont. Tenv', c='coral', ls='--')\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_1000_latlon_mean[hour,:]-273.15, lw=3, label='phys. Td', c='dodgerblue')\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_400_latlon_mean[hour,:]-273.15, lw=3, label='cont. Td', c='skyblue', ls='--')\n", - "\n", - "pprofile_400 = metpy.calc.parcel_profile(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", - " (tk_400_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC, \\\n", - " (td_400_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC).to('degC')\n", - "pprofile_1000 = metpy.calc.parcel_profile(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", - " (tk_1000_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC, \\\n", - " (td_1000_latlon_mean[hour,:][0]-273.15)*metpy.units.units.degC).to('degC')\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_1000, label='phys. profile', c='0.1', lw=3, ls='-')\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_400, label='cont. profile', c='0.5', lw=3, ls='--')\n", - "\n", - "skewt_plot.ax.set_ylim(1013.25,100)\n", - "skewt_plot.ax.set_xlim(-45,35)\n", - "\n", - "fig = mp.gcf()\n", - "fig.set_size_inches(6.5,6.5)\n", - "fig.tight_layout()\n", - "\n", - "skewt_plot.ax.tick_params(labelsize=fontsize)\n", - "skewt_plot.ax.set_ylabel('hPa', fontsize=fontsize)\n", - "skewt_plot.ax.set_xlabel('$\\degree$C', fontsize=fontsize)\n", - "\n", - "skewt_plot.plot_dry_adiabats(color='0.1',linewidth=1,linestyle='-')\n", - "skewt_plot.plot_moist_adiabats(color='0.1',linestyle=':')\n", - "skewt_plot.plot_mixing_lines(color='0.1',linestyle='--')\n", - "\n", - "handles, labels = skewt_plot.ax.get_legend_handles_labels()\n", - "skewt_plot.ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " bbox_to_anchor=(1.03,1.0), \\\n", - " bbox_transform=skewt_plot.ax.transAxes, loc='upper left', \\\n", - " borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", - " edgecolor='0', framealpha=0, borderpad=0.25, \\\n", - " columnspacing=0.5, handletextpad=0.5, markerscale=1)\n", - "\n", - "fig.savefig('both_cape_skewT_hour'+str(hour-4)+'_andes_region.png', dpi=600, bbox_inches='tight', transparent=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 10 day mean skewT diagrams" - ] - }, - { - "cell_type": "code", - "execution_count": 572, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T07:07:35.324706Z", - "start_time": "2018-06-29T07:07:35.315321Z" - } - }, - "outputs": [], - "source": [ - "time_datetimes = pandas.to_datetime([i.decode('utf-8') for i in time], format = '%Y-%m-%d_%H:%M:%S')" - ] - }, - { - "cell_type": "code", - "execution_count": 577, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T07:22:32.455530Z", - "start_time": "2018-06-29T07:22:32.446705Z" - } - }, - "outputs": [], - "source": [ - "hour_indices = [t.hour==19 and t.day in range(5,11) for t in time_datetimes]" - ] - }, - { - "cell_type": "code", - "execution_count": 578, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T07:22:39.847616Z", - "start_time": "2018-06-29T07:22:39.198127Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(, )\n", - "(, )\n" - ] - } - ], - "source": [ - "ptot_lo = 100\n", - "ptot_hi = 1013.25\n", - "\n", - "tk_400_latlon_afternoon = numpy.nanmean(tk_400_latlon_mean[hour_indices,:], axis=0)\n", - "td_400_latlon_afternoon = numpy.nanmean(td_400_latlon_mean[hour_indices,:], axis=0)\n", - "\n", - "tk_1000_latlon_afternoon = numpy.nanmean(tk_1000_latlon_mean[hour_indices,:], axis=0)\n", - "td_1000_latlon_afternoon = numpy.nanmean(td_1000_latlon_mean[hour_indices,:], axis=0)\n", - "\n", - "ptot_indices = (ptot_latlon_subset_timemean/100.<=ptot_hi)&(ptot_latlon_subset_timemean/100.>=ptot_lo)\n", - "\n", - "cape_400 = metpy.calc.surface_based_cape_cin(ptot_latlon_subset_timemean[ptot_indices]/100.*metpy.units.units.hPa, \\\n", - " (tk_400_latlon_afternoon[ptot_indices]-273.15)*metpy.units.units.degC, \\\n", - " (td_400_latlon_afternoon[ptot_indices]-273.15)*metpy.units.units.degC)\n", - "\n", - "cape_1000 = metpy.calc.surface_based_cape_cin(ptot_latlon_subset_timemean[ptot_indices]/100.*metpy.units.units.hPa, \\\n", - " (tk_1000_latlon_afternoon[ptot_indices]-273.15)*metpy.units.units.degC, \\\n", - " (td_1000_latlon_afternoon[ptot_indices]-273.15)*metpy.units.units.degC)\n", - "\n", - "print(cape_400)\n", - "print(cape_1000)" - ] - }, - { - "cell_type": "raw", - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T06:08:48.681527Z", - "start_time": "2018-06-29T06:08:44.084183Z" - } - }, - "source": [ - "fontsize=12\n", - "hour = 19\n", - "\n", - "skewt_plot = metpy.plots.SkewT()\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_1000_latlon_afternoon-273.15, lw=3, label='phys. T$_{env}$', c=color_list[0])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_400_latlon_afternoon-273.15, lw=3, label='cont. T$_{env}$', ls='--', c=color_list[1])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_1000_latlon_afternoon-273.15, lw=3, label='phys. T$_d$', c=color_list[2])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_400_latlon_afternoon-273.15, lw=3, label='cont. T$_d$', ls='--', c=color_list[3])\n", - "\n", - "pprofile_400 = metpy.calc.parcel_profile(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", - " (tk_400_latlon_afternoon[0]-273.15)*metpy.units.units.degC, \\\n", - " (td_400_latlon_afternoon[0]-273.15)*metpy.units.units.degC).to('degC')\n", - "pprofile_1000 = metpy.calc.parcel_profile(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", - " (tk_1000_latlon_afternoon[0]-273.15)*metpy.units.units.degC, \\\n", - " (td_1000_latlon_afternoon[0]-273.15)*metpy.units.units.degC).to('degC')\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_1000, label='phys. profile', c='0.1', lw=3, ls='-')\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_400, label='cont. profile', c='0.5', lw=3, ls='--')\n", - "\n", - "\n", - "# fill in control and phys CAPE\n", - "skewt_plot.shade_cape(ptot_latlon_subset_timemean/100.,\\\n", - " tk_1000_latlon_afternoon-273.15,\\\n", - " numpy.array(pprofile_1000),\\\n", - " edgecolor='None',facecolor=matplotlib.cm.tab20c(8/20),alpha=0.666,\\\n", - " label='phys. CAPE')\n", - "\n", - "skewt_plot.shade_cape(ptot_latlon_subset_timemean/100.,\\\n", - " tk_400_latlon_afternoon-273.15,\\\n", - " numpy.array(pprofile_400),\\\n", - " edgecolor='None',facecolor=matplotlib.cm.tab20c(8/20),alpha=0.333,\\\n", - " label='cont. CAPE')\n", - "\n", - "skewt_plot.ax.set_ylim(1013.25,600)\n", - "skewt_plot.ax.set_xlim(10,30)\n", - "\n", - "fig = mp.gcf()\n", - "fig.set_size_inches(4.45,4.25)\n", - "fig.tight_layout()\n", - "\n", - "skewt_plot.ax.tick_params(labelsize=fontsize)\n", - "skewt_plot.ax.set_ylabel('hPa', fontsize=fontsize)\n", - "skewt_plot.ax.set_xlabel('$\\degree$C', fontsize=fontsize)\n", - "\n", - "skewt_plot.plot_dry_adiabats(color='0.5',linewidth=1,linestyle='-')\n", - "skewt_plot.plot_moist_adiabats(color='0.5',linestyle=':')\n", - "skewt_plot.plot_mixing_lines(color='0.5',linestyle='--',lw=1)\n", - "\n", - "handles, labels = skewt_plot.ax.get_legend_handles_labels()\n", - "skewt_plot.ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " bbox_to_anchor=(1.03,1.0), \\\n", - " bbox_transform=skewt_plot.ax.transAxes, loc='upper left', \\\n", - " borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", - " edgecolor='0', framealpha=0, borderpad=0.25, \\\n", - " columnspacing=0.5, handletextpad=0.5, markerscale=1)\n", - "\n", - "skewt_plot.ax.text(s='skew-T diagram at 15:00 on days 2–10',\\\n", - " x=0,y=1.02,\\\n", - " transform=skewt_plot.ax.transAxes,\\\n", - " ha='left',va='bottom', fontsize=fontsize)\n", - "\n", - "skewt_plot.ax.annotate(\"\",xy=(11.6,700), \\\n", - " xycoords='data',\\\n", - " xytext=(13.6, 700), \\\n", - " textcoords='data',\\\n", - " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=10))\n", - "\n", - "skewt_plot.ax.annotate(\"\",xy=(10.9,700), \\\n", - " xycoords='data',\\\n", - " xytext=(8.9, 700), \\\n", - " textcoords='data',\\\n", - " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=10))\n", - "\n", - "CAPE_CIN_text = 'CAPE$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[0]))+' J kg$^{\\,-1}$\\n'\\\n", - " 'CAPE$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[0]))+' J kg$^{\\,-1}$\\n'\\\n", - " 'CIN$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[1]))+' J kg$^{\\,-1}$\\n'\\\n", - " 'CIN$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[1]))+' J kg$^{\\,-1}$'\n", - "skewt_plot.ax.text(s=CAPE_CIN_text,x=1.02,y=0,ha='left',va='bottom',transform=skewt_plot.ax.transAxes,fontsize=fontsize)\n", - "\n", - "fig.savefig('manuscript_both_cape_skewT_hour'+str(hour-4)+'_zoom_ALL_DAYS_amazon_region.png', dpi=600, bbox_inches='tight', transparent=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 579, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-29T07:22:50.777428Z", - "start_time": "2018-06-29T07:22:46.123953Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fontsize=12\n", - "hour = 19\n", - "\n", - "skewt_plot = metpy.plots.SkewT()\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_1000_latlon_afternoon-273.15, lw=3, label='phys. T$_{env}$', c=color_list[0])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., tk_400_latlon_afternoon-273.15, lw=3, label='cont. T$_{env}$', ls='--', c=color_list[1])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_1000_latlon_afternoon-273.15, lw=3, label='phys. T$_d$', c=color_list[2])\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., td_400_latlon_afternoon-273.15, lw=3, label='cont. T$_d$', ls='--', c=color_list[3])\n", - "\n", - "pprofile_400 = metpy.calc.parcel_profile(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", - " (tk_400_latlon_afternoon[0]-273.15)*metpy.units.units.degC, \\\n", - " (td_400_latlon_afternoon[0]-273.15)*metpy.units.units.degC).to('degC')\n", - "pprofile_1000 = metpy.calc.parcel_profile(ptot_latlon_subset_timemean/100.*metpy.units.units.hPa, \\\n", - " (tk_1000_latlon_afternoon[0]-273.15)*metpy.units.units.degC, \\\n", - " (td_1000_latlon_afternoon[0]-273.15)*metpy.units.units.degC).to('degC')\n", - "\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_1000, label='phys. profile', c='0.1', lw=3, ls='-')\n", - "skewt_plot.plot(ptot_latlon_subset_timemean/100., pprofile_400, label='cont. profile', c='0.5', lw=3, ls='--')\n", - "\n", - "\n", - "# fill in control and phys CAPE\n", - "skewt_plot.shade_cape(ptot_latlon_subset_timemean/100.,\\\n", - " tk_1000_latlon_afternoon-273.15,\\\n", - " numpy.array(pprofile_1000),\\\n", - " edgecolor='None',facecolor=matplotlib.cm.tab20c(8/20),alpha=0.666,\\\n", - " label='phys. CAPE')\n", - "\n", - "skewt_plot.shade_cape(ptot_latlon_subset_timemean/100.,\\\n", - " tk_400_latlon_afternoon-273.15,\\\n", - " numpy.array(pprofile_400),\\\n", - " edgecolor='None',facecolor=matplotlib.cm.tab20c(8/20),alpha=0.333,\\\n", - " label='cont. CAPE')\n", - "\n", - "skewt_plot.ax.set_ylim(1013.25,600)\n", - "skewt_plot.ax.set_xlim(10,25)\n", - "\n", - "fig = mp.gcf()\n", - "fig.set_size_inches(4.45,4.25)\n", - "fig.tight_layout()\n", - "\n", - "skewt_plot.ax.tick_params(labelsize=fontsize)\n", - "skewt_plot.ax.set_ylabel('hPa', fontsize=fontsize)\n", - "skewt_plot.ax.set_xlabel('$\\degree$C', fontsize=fontsize)\n", - "\n", - "skewt_plot.plot_dry_adiabats(color='0.5',linewidth=1,linestyle='-')\n", - "skewt_plot.plot_moist_adiabats(color='0.5',linestyle=':')\n", - "skewt_plot.plot_mixing_lines(color='0.5',linestyle='--',lw=1)\n", - "\n", - "handles, labels = skewt_plot.ax.get_legend_handles_labels()\n", - "skewt_plot.ax.legend(handles, labels, fontsize=fontsize, scatterpoints=1, \\\n", - " bbox_to_anchor=(1.03,1.0), \\\n", - " bbox_transform=skewt_plot.ax.transAxes, loc='upper left', \\\n", - " borderaxespad=0, labelspacing=0.25, fancybox=False, \\\n", - " edgecolor='0', framealpha=0, borderpad=0.25, \\\n", - " columnspacing=0.5, handletextpad=0.5, markerscale=1)\n", - "\n", - "skewt_plot.ax.text(s='skew-T diagram at 15:00 on days 2–10',\\\n", - " x=0,y=1.02,\\\n", - " transform=skewt_plot.ax.transAxes,\\\n", - " ha='left',va='bottom', fontsize=fontsize)\n", - "\n", - "skewt_plot.ax.annotate(\"\",xy=(11.6,700), \\\n", - " xycoords='data',\\\n", - " xytext=(13.6, 700), \\\n", - " textcoords='data',\\\n", - " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=10))\n", - "\n", - "skewt_plot.ax.annotate(\"\",xy=(10.9,700), \\\n", - " xycoords='data',\\\n", - " xytext=(8.9, 700), \\\n", - " textcoords='data',\\\n", - " arrowprops=dict(facecolor='0.1',ec='None',width=2,headwidth=6,headlength=10))\n", - "\n", - "CAPE_CIN_text = 'CAPE$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[0]))+' J kg$^{\\,-1}$\\n'\\\n", - " 'CAPE$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[0]))+' J kg$^{\\,-1}$\\n'\\\n", - " 'CIN$_{\\,cont}$ = '+'{:.0f}'.format(numpy.array(cape_400[1]))+' J kg$^{\\,-1}$\\n'\\\n", - " 'CIN$_{\\,phys}$ = '+'{:.0f}'.format(numpy.array(cape_1000[1]))+' J kg$^{\\,-1}$'\n", - "skewt_plot.ax.text(s=CAPE_CIN_text,x=1.02,y=0,ha='left',va='bottom',transform=skewt_plot.ax.transAxes,fontsize=fontsize)\n", - "\n", - "fig.savefig('manuscript_both_cape_skewT_hour'+str(hour-4)+'_zoom_ALL_DAYS_andes_region.png', dpi=600, bbox_inches='tight', transparent=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# plot cape variables in 4x4 plot for first day and 2-10 days" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-27T02:09:56.378600Z", - "start_time": "2018-06-27T02:09:50.833702Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = mp.figure(figsize=(5.333,5.666))\n", - "\n", - "fontsize=12\n", - "lon_offset=25.\n", - "\n", - "map_proj = cartopy.crs.PlateCarree()\n", - "\n", - "ax1 = fig.add_subplot(221, projection=map_proj)\n", - "ax2 = fig.add_subplot(222, projection=map_proj)\n", - "ax3 = fig.add_subplot(223, projection=map_proj)\n", - "ax4 = fig.add_subplot(224, projection=map_proj)\n", - "\n", - "cp1 = ax1.pcolormesh(xlong,xlat,\\\n", - " cape2d_mcape_diffs[:24,:,:].mean(axis=0),\\\n", - " cmap='PuOr_r', vmin=-150,vmax=150)\n", - "\n", - "cp2 = ax2.pcolormesh(xlong,xlat,\\\n", - " cape2d_mcin_diffs[:24,:,:].mean(axis=0),\\\n", - " cmap='PuOr', vmin=-5,vmax=5)\n", - "\n", - "cp3 = ax3.pcolormesh(xlong,xlat,\\\n", - " cape2d_lcl_diffs[:24,:,:].mean(axis=0),\\\n", - " cmap=cmocean.cm.amp, vmin=0,vmax=150)\n", - "\n", - "cp4 = ax4.pcolormesh(xlong,xlat,\\\n", - " cape2d_lfc_diffs[:24,:,:].mean(axis=0),\\\n", - " cmap=cmocean.cm.amp, vmin=0,vmax=150)\n", - "\n", - "ax1.coastlines()\n", - "ax2.coastlines()\n", - "ax3.coastlines()\n", - "ax4.coastlines()\n", - "\n", - "ax1.set_extent([273,329,-30,15], crs=map_proj)\n", - "ax2.set_extent([273,329,-30,15], crs=map_proj)\n", - "ax3.set_extent([273,329,-30,15], crs=map_proj)\n", - "ax4.set_extent([273,329,-30,15], crs=map_proj)\n", - "\n", - "ax1.set_xticks([-360+280,-360+300,-360+320])\n", - "ax1.set_yticks([-20,-10,0,10])\n", - "ax1.tick_params(labelsize=fontsize)\n", - "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", - "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", - "\n", - "ax2.set_xticks([-360+280,-360+300,-360+320])\n", - "ax2.set_yticks([-20,-10,0,10])\n", - "ax2.tick_params(labelsize=fontsize)\n", - "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", - "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", - "\n", - "ax3.set_xticks([-360+280,-360+300,-360+320])\n", - "ax3.set_yticks([-20,-10,0,10])\n", - "ax3.tick_params(labelsize=fontsize)\n", - "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", - "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", - "\n", - "ax4.set_xticks([-360+280,-360+300,-360+320])\n", - "ax4.set_yticks([-20,-10,0,10])\n", - "ax4.tick_params(labelsize=fontsize)\n", - "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", - "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", - "\n", - "title = ax1.text(s='(a) $\\Delta$ CAPE', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", - "title = ax2.text(s='(b) $\\Delta$ CIN', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", - "title = ax3.text(s='(c) $\\Delta$ LCL', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", - "title = ax4.text(s='(d) $\\Delta$ LFC', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", - "\n", - "fig.tight_layout()\n", - "\n", - "cbar_thickness=0.025\n", - "cbar_yshift=0#-0.08\n", - "\n", - "bbox_position = ax1.get_position()\n", - "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", - "cbar = mp.colorbar(cp1, orientation='horizontal', cax=cbar_axes)\n", - "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", - "cbar_axes.tick_params(labelsize=fontsize)\n", - "cbar.set_ticks([-150,0,150])\n", - "\n", - "bbox_position = ax2.get_position()\n", - "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", - "cbar = mp.colorbar(cp2, orientation='horizontal', cax=cbar_axes)\n", - "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", - "cbar_axes.tick_params(labelsize=fontsize)\n", - "cbar.set_ticks([-5,-2.5,0,2.5,5])\n", - "\n", - "bbox_position = ax3.get_position()\n", - "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", - "cbar = mp.colorbar(cp3, orientation='horizontal', cax=cbar_axes)\n", - "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", - "cbar_axes.tick_params(labelsize=fontsize)\n", - "cbar.set_ticks([0,50,100,150])\n", - "\n", - "bbox_position = ax4.get_position()\n", - "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", - "cbar = mp.colorbar(cp4, orientation='horizontal', cax=cbar_axes)\n", - "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", - "cbar_axes.tick_params(labelsize=fontsize)\n", - "cbar.set_ticks([0,50,100,150])\n", - "\n", - "ax1.text(s='J kg$^{\\,-1}$', x=0.95, y=0.95, \\\n", - " ha='right', va='top', \\\n", - " fontsize=fontsize, \\\n", - " transform=ax1.transAxes)\n", - "ax2.text(s='J kg$^{\\,-1}$', x=0.95, y=0.95, \\\n", - " ha='right', va='top', \\\n", - " fontsize=fontsize, \\\n", - " transform=ax2.transAxes)\n", - "ax3.text(s='m', x=0.95, y=0.95, \\\n", - " ha='right', va='top', \\\n", - " fontsize=fontsize, \\\n", - " transform=ax3.transAxes)\n", - "ax4.text(s='m', x=0.95, y=0.93, \\\n", - " ha='right', va='top', \\\n", - " fontsize=fontsize, \\\n", - " transform=ax4.transAxes)\n", - "\n", - "#fig.savefig('cape_cin_lcl_lfc_days2to10.png', bbox_inches='tight', dpi=600, )\n", - "fig.savefig('cape_cin_lcl_lfc_day1.png', bbox_inches='tight', dpi=600, )" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-27T02:09:56.415037Z", - "start_time": "2018-06-27T02:09:56.386936Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", - " \"\"\"Entry point for launching an IPython kernel.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", - " \n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", - " after removing the cwd from sys.path.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:5: RuntimeWarning: Mean of empty slice\n", - " \"\"\"\n" - ] - } - ], - "source": [ - "net_atm_diffs_1000_sw_latlon_subset = numpy.nanmean(net_atm_diffs_1000_sw[:,latlon_indices], axis=1)\n", - "net_atm_diffs_400_sw_latlon_subset = numpy.nanmean(net_atm_diffs_400_sw[:,latlon_indices], axis=1)\n", - "\n", - "net_atm_diffs_1000_lw_latlon_subset = numpy.nanmean(net_atm_diffs_1000_lw[:,latlon_indices], axis=1)\n", - "net_atm_diffs_400_lw_latlon_subset = numpy.nanmean(net_atm_diffs_400_lw[:,latlon_indices], axis=1)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-27T02:10:00.416223Z", - "start_time": "2018-06-27T02:10:00.392164Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", - " \"\"\"Entry point for launching an IPython kernel.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", - " \n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", - " after removing the cwd from sys.path.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:5: RuntimeWarning: Mean of empty slice\n", - " \"\"\"\n" - ] - } - ], - "source": [ - "net_atm_diffs_1000_swc_latlon_subset = numpy.nanmean(net_atm_diffs_1000_swc[:,latlon_indices], axis=1)\n", - "net_atm_diffs_400_swc_latlon_subset = numpy.nanmean(net_atm_diffs_400_swc[:,latlon_indices], axis=1)\n", - "\n", - "net_atm_diffs_1000_lwc_latlon_subset = numpy.nanmean(net_atm_diffs_1000_lwc[:,latlon_indices], axis=1)\n", - "net_atm_diffs_400_lwc_latlon_subset = numpy.nanmean(net_atm_diffs_400_lwc[:,latlon_indices], axis=1)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-27T02:10:02.462579Z", - "start_time": "2018-06-27T02:10:02.458023Z" - } - }, - "outputs": [], - "source": [ - "xvals = numpy.arange(net_atm_diffs_400_sw_latlon_subset.size)" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-27T18:47:06.591858Z", - "start_time": "2018-06-27T18:47:01.822942Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fontsize = 12\n", - "\n", - "fig,axl = mp.subplots(3,2)\n", - "fig.set_size_inches(8.5,5)\n", - "\n", - "axl[0,0].plot(xvals-4,net_atm_diffs_400_sw_latlon_subset/(60*60),c='firebrick')\n", - "axl[1,0].plot(xvals-4,net_atm_diffs_400_lw_latlon_subset/(60*60),c='firebrick')\n", - "#axl[1,0].plot(xvals-4,net_atm_diffs_1000_lw_latlon_subset/(60*60),c='coral')\n", - "\n", - "axl[2,0].plot(xvals-4,(net_atm_diffs_400_sw_latlon_subset+net_atm_diffs_400_lw_latlon_subset)/(60*60),c='firebrick')\n", - "\n", - "axl[0,1].plot(xvals-4,(net_atm_diffs_1000_sw_latlon_subset-net_atm_diffs_400_sw_latlon_subset)/(60*60),c='firebrick')\n", - "axl[1,1].plot(xvals-4,(net_atm_diffs_1000_lw_latlon_subset-net_atm_diffs_400_lw_latlon_subset)/(60*60),c='firebrick')\n", - "axl[2,1].plot(xvals-4,\\\n", - " ((net_atm_diffs_1000_sw_latlon_subset+net_atm_diffs_1000_lw_latlon_subset)-\\\n", - " (net_atm_diffs_400_sw_latlon_subset+net_atm_diffs_400_lw_latlon_subset))/(60*60),c='firebrick')\n", - "\n", - "axl[0,0].axhline(0, lw=1, c='0.1', ls='--',zorder=0)\n", - "#axl[1,0].axhline(0, lw=1, c='0.1', ls='--')\n", - "axl[2,0].axhline(0, lw=1, c='0.1', ls='--',zorder=0)\n", - "axl[0,1].axhline(0, lw=1, c='0.1', ls='--',zorder=0)\n", - "axl[1,1].axhline(0, lw=1, c='0.1', ls='--',zorder=0)\n", - "axl[2,1].axhline(0, lw=1, c='0.1', ls='--',zorder=0)\n", - "\n", - "axl[0,0].set_ylim(0,400)\n", - "axl[1,0].set_ylim(-300,-150)\n", - "axl[2,0].set_ylim(-400,200)\n", - "axl[0,1].set_ylim(-20,10)\n", - "axl[1,1].set_ylim(-10,10)\n", - "axl[2,1].set_ylim(-5,5)\n", - "\n", - "[ax.tick_params(labelsize=fontsize) for ax in axl.flatten()]\n", - "[ax.set_xlim(0,240) for ax in axl.flatten()]\n", - "[ax.set_ylabel('W m$^{\\,-2}$', fontsize=fontsize) for ax in axl.flatten()[0::2]]\n", - "[ax.set_xlabel('hour', fontsize=fontsize) for ax in axl.flatten()[-2:]]\n", - "[ax.get_yaxis().set_label_coords(-0.15,0.5) for ax in axl.flatten()]\n", - "[ax.set_xticks(numpy.arange(0,241,24)) for ax in axl.flatten()]\n", - "[ax.xaxis.grid() for ax in axl.flatten()]\n", - "# [ax.set_axisbelow(True) for ax in axl.flatten()]\n", - "\n", - "plot_labels = [\\\n", - "'net atmos. shortwave (control)',\\\n", - "'phys.– cont. net atmos. shortwave',\\\n", - "'net atmos. longwave (control)',\\\n", - "'phys.– cont. net atmos. longwave',\\\n", - "'net atmos. rad. (control)',\\\n", - "'phys.– cont. net atmos. rad.']\n", - "\n", - "[axl.flatten()[i].text(s=plot_labels[i], ha='left',\\\n", - " va='bottom',\\\n", - " x=0,y=1.03,\\\n", - " transform=axl.flatten()[i].transAxes,\\\n", - " fontsize=fontsize)\\\n", - "for i in range(axl.flatten().size)]\n", - "\n", - "fig.tight_layout(h_pad=2)\n", - "\n", - "fig.savefig('radiation_changes_with_control.png',\\\n", - " dpi=600, bbox_inches='tight', transparent=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-27T18:47:14.461318Z", - "start_time": "2018-06-27T18:47:09.696742Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fontsize = 12\n", - "\n", - "fig,axl = mp.subplots(3,2)\n", - "fig.set_size_inches(8.5,5)\n", - "\n", - "axl[0,0].plot(xvals-4,net_atm_diffs_400_sw_latlon_subset/(60*60),c='firebrick')\n", - "axl[1,0].plot(xvals-4,net_atm_diffs_400_lw_latlon_subset/(60*60),c='firebrick')\n", - "#axl[1,0].plot(xvals-4,net_atm_diffs_1000_lw_latlon_subset/(60*60),c='coral')\n", - "\n", - "axl[2,0].plot(xvals-4,(net_atm_diffs_400_sw_latlon_subset+net_atm_diffs_400_lw_latlon_subset)/(60*60),c='firebrick')\n", - "\n", - "axl[0,1].plot(xvals-4,(net_atm_diffs_1000_sw_latlon_subset-net_atm_diffs_400_sw_latlon_subset)/(60*60),c='firebrick')\n", - "axl[1,1].plot(xvals-4,(net_atm_diffs_1000_lw_latlon_subset-net_atm_diffs_400_lw_latlon_subset)/(60*60),c='firebrick')\n", - "axl[2,1].plot(xvals-4,((net_atm_diffs_1000_sw_latlon_subset+net_atm_diffs_1000_lw_latlon_subset)-(net_atm_diffs_400_sw_latlon_subset+net_atm_diffs_400_lw_latlon_subset))/(60*60),c='firebrick')\n", - "\n", - "axl[0,0].axhline(0, lw=1, c='0.1', ls='--',zorder=0)\n", - "#axl[1,0].axhline(0, lw=1, c='0.1', ls='--')\n", - "axl[2,0].axhline(0, lw=1, c='0.1', ls='--',zorder=0)\n", - "axl[0,1].axhline(0, lw=1, c='0.1', ls='--',zorder=0)\n", - "axl[1,1].axhline(0, lw=1, c='0.1', ls='--',zorder=0)\n", - "axl[2,1].axhline(0, lw=1, c='0.1', ls='--',zorder=0)\n", - "\n", - "axl[0,0].set_ylim(0,400)\n", - "axl[1,0].set_ylim(-300,-150)\n", - "axl[2,0].set_ylim(-400,200)\n", - "axl[0,1].set_ylim(-20,10)\n", - "axl[1,1].set_ylim(-10,10)\n", - "axl[2,1].set_ylim(-5,5)\n", - "\n", - "[ax.tick_params(labelsize=fontsize) for ax in axl.flatten()]\n", - "[ax.set_xlim(0,240) for ax in axl.flatten()]\n", - "[ax.set_ylabel('W m$^{\\,-2}$', fontsize=fontsize) for ax in axl.flatten()[0::2]]\n", - "[ax.set_xlabel('hour', fontsize=fontsize) for ax in axl.flatten()[-2:]]\n", - "[ax.get_yaxis().set_label_coords(-0.15,0.5) for ax in axl.flatten()]\n", - "[ax.set_xticks(numpy.arange(0,241,24)) for ax in axl.flatten()]\n", - "[ax.xaxis.grid() for ax in axl.flatten()]\n", - "# [ax.set_axisbelow(True) for ax in axl.flatten()]\n", - "\n", - "plot_labels = [\\\n", - "'net atmos. shortwave (control)',\\\n", - "'phys.– cont. net atmos. shortwave',\\\n", - "'net atmos. longwave (control)',\\\n", - "'phys.– cont. net atmos. longwave',\\\n", - "'phys.– cont. net atmos. rad.',\\\n", - "'net atmos. rad. (control)' ]\n", - "\n", - "[axl.flatten()[i].text(s=plot_labels[i], ha='left',\\\n", - " va='bottom',\\\n", - " x=0,y=1.03,\\\n", - " transform=axl.flatten()[i].transAxes,\\\n", - " fontsize=fontsize)\\\n", - "for i in range(axl.flatten().size)]\n", - "\n", - "fig.tight_layout(h_pad=2)\n", - "\n", - "fig.savefig('radiation_changes_with_control.png',\\\n", - " dpi=600, bbox_inches='tight', transparent=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# calculate cloud fraction changes" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-27T18:53:11.109677Z", - "start_time": "2018-06-27T18:47:20.673241Z" - } - }, - "outputs": [], - "source": [ - "cldfra_diffs = cldfra_1000-cldfra_400\n", - "cldfra_diffs_latlon_subset = numpy.mean(cldfra_diffs.values[:,:,latlon_indices], axis=2)" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-27T18:54:22.436508Z", - "start_time": "2018-06-27T18:54:22.416940Z" - } - }, - "outputs": [], - "source": [ - "cape2d_diffs_latlon_mean = numpy.nanmean(cape2d_diffs[:,:,latlon_indices], axis=2)" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-27T19:07:40.729908Z", - "start_time": "2018-06-27T19:07:40.287937Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", - " \"\"\"Entry point for launching an IPython kernel.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", - " \n" - ] - } - ], - "source": [ - "cape3d_400_latlon_mean = numpy.nanmean(cape3d_400[:,:,:,latlon_indices], axis=3)\n", - "cape3d_1000_latlon_mean = numpy.nanmean(cape3d_1000[:,:,:,latlon_indices], axis=3)\n", - "\n", - "cape3d_diffs_latlon_mean = cape3d_1000_latlon_mean - cape3d_400_latlon_mean" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# plot cloud changes and radiative changes" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-27T18:53:18.953639Z", - "start_time": "2018-06-27T18:53:14.413810Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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/+MWkzbvvvpvG3/yG17Zs4efRKBNFWBwIUOXzEQwGiaWkAlZUVKCUor+/Hy/gFsF9xRWc/k//xBlnnJHc7vOf/zz33HMPn1u4kCt37+YXkQjNY8dyz4QJdO7cmTyfAJWVlSilCKYMUKkQwVNdzT8DzWZs/eSTT+Yvf/kLixcv5tnHHuNOn49Ho1F+snIlq2+6id4VK5L7+/1+PB4P4XA4eSy3241XKfrdbm5KGaq/b98+Hn30Ub5l3gjcwE99Phqvu477fvYzLnG7EcDj8VDu9RLq70clErjdbhLxOB63m0QshgDfDoXoAJ4zY9UfSSnKdPPNN/Ohri42/s//8F/hMNd5PJS7XPh9PqLhMCoeRwBXmhokv4pEuPzOO7nqqqtoNDtXU//3Hj71VA50dfHraJRveb1MqKkhGo3Sn5IS6ff7cbvd9JhD3StEODh1Kv/wyitccsklvGuO5GwY9L8nwD3l5VSVlSE+H090dfGi6ZnffPPN3HLLLauVUnOHNFqTHyM9iWGhC/AD4I6U915AAf5M+6Sb4LVv3z715xNPVH+9/XbVt2+f+uvtt6tYKKSUUqp7yxb1VFOT2vv000P2S2XwxJjr77hDPTN7topHo0O2fWnBArX6ppuy2stk++DSpeqppibVsmxZxu2fmT1bbbjrroLs9u3Zo55qalI7f/vbjNu/eO65as03v1mQ3UQioZ6eNUttuPPOjNt3/PWv6qmmJnXgpZfytquUUnv/9Cf1VFOTalu1Ku323du3q6eamtSeP/2pILu7fvc79VRTk+ravDnjPtb52vX443nbblm2LOdvp5RSq2++Wb143nlZt1myZIlKxOMqHomoWH+/em7OHPXObbdl3ef5efPU2m99K+/2KqXUyq9+Vb20YEHWfZRSqnPjRvVUU5Pa/eSTaT9HT/Bqa8kacxaRmSJy+qB12Z/7Ss9m4KSU97OBbUqpgkZHVEyaRMPChRx47jn2Pvkkux57LFmIx+qc8VQVlgRSPXs2iXCYvh07hnyWmudcKLXm42W6MAUYcdZEODzkcTUX/okTcXm9WTvMrGyNQrAG2oSy1PhIjTkXwviFC5GyMg4tXZrerullu834fr6MPfdcAFrffDPjNtb3KaRQU4WVmZOjUzJm9hlkQ0QQlwuXx0OZz0f93Lm0pTwVpCPa2ZkMS+VL/RlnENy9O2e+vNX/MGbevILsa/IjoziLyA+B7wH/KCIvi4h1Fd03HA3Lwh+B+SIy38zc+D7wP8UYmvjRjxJpb2fnY48B0GNmZcTMx7tCxa7mhBMAo0LcYFI7BAvFW1NDYObMjOJsdSblurgHI2VlVEyZkrVjMh4MJtPHCsE3YcKAHNshdosUZ09VFZ7a2oyDYZIx5wLbXDFpEpXTp+cnzuaECfngnzAh5w0QDHEuq6zM2y7AmDPPpG/Xrow3wUQkQiISwV2g3fo5c4DcWSOty5dTMXUqFZMmFWRfkx/ZPOe5SqmrlFJfAf7AYVF2tvhugSil2oBrgEeAPcAh4M5ibDUsWEBZZWVyAIQlzlaZyUI950BTEy6vl+504mzDcwaoOemkjIMILHEu9CIEjKyRDMKh4nES4XDBQgeGKIVKIM5g5BpnGkZuFVAq5kYYmDEj64hCK2PHaw7IyQdxuaiYOjVnZk6sr6/g36/6+OMBY9RiWpvmOSrUbpVpN1ebe99/P2cHqqZ4solzt4hcLSLjlFI/BWpE5HageIVxCKXU00qp6UqpgFLqi0qpooZUlfl8TLjwwuT7nm3bgBTPuUBxdnk8VB5zzBCxS0SjqGjUljh7q6uTIjwYKwWt0PYCyfamy9m1vNBCQwRgeJeh5marX2AIiZQSqoVSVlFhZNSkIdnmIm4o7kAgazpf8jwX+ISS7QaYtN3XV/CTj7e2Fshcb7zYm3aZz4fL601eB5mItLYmBydpnCebOF8J1HE4vnsl0AK8V+pGDSeTL78cRKiePZve7duJdnfTtWEDULjnDOCprR1ysSS9xCLDGmAIUqaymla1OI95sRZCxdSpJEKhtBXnYkWGCMAIayQikYz54dZgjqI95wznIm7Dc/ZUVWUtzh/t6UHKygpusyXOmW5UcHgQUSFYaYqxDOJs3cCK6TNwBwJZJ5mIh8NEu7u1OJeQjOKslOpTSv1EKfWK+T6ulHpQKXXV8DWv9IyfP58PL1/OpI99jFBzMyuvuy45p10xouSprh5Si8MpcVbRKAkz/S2V5CiwiRMLtpu8wNN4jHaEzjdhAkDGeGjynJijJguhrKIi4xRUSbs2POdMImoJqBQ4rZZ3zBgS4XDWUZuxvr6CY86emhoAIpk8Z6tztIhwl6e6Oqs4WzVWtDiXjrxHCIrIv5SyISNJ+dixycI+qXUNxFX4AEpPdfWQ+s8da9YAxXmJFtZjejxNrNWqn1BIR9UQu2nErtjONTBizkDGuHPCRsy5zO/P6TkXE4rxVFWhYrGMIlqMdwuHO2ozhWJUIkG8iLCGOxAAkYyeczIMUwJxtqoIanEuHYWoz0Ula8URgHXR+VMS+YvBU1Mz4J/64Kuvsur66wGbnrO5b7q4c39zM94xY4r2QoG0YhezI3Q54qFxGzFnd2Vl2psUpIRiimiz9T+QKe4c6+srSpytfTKFTIqNDYvLZYQfMlRNTD75FPMUUV2dNeYc1p5zyRmNtTVKgnUBWZkbszMMD86Ft6aGeF9fMvyw49e/Tn5mR5xzec6Wp1qs3XSib8dztr5rtvCDuN243IVXEHBXVGTsHI2bkwNIWVnhds0+hozi3NtblBeaj+gDBYc1YKgzMMCu3bBGNnG2POcCMlc0hVHIlTGiKXSlxnqkTEQiNFxwATO//OXi7Jgx3Gh3N4lolJaU+g1ShBBZZPNw+5ubk0Xri7WbTvSTolGMF2q1N4OHaye1sKyiIqPnHC9i0IyF9T+QyWOM9fYW1emarzgXFTLJEn5I2i2m7yRHh6Alzl7tOZeMQjznZ0vWiiOA1AujGE/DwuqkiXZ3J9OnJpp1FLxFXNgW2TzR0IEDRXUGQopHnsVzLubizsdzdhURhrHaEw8G06b/WeVCi7Jres6ZPMZoHqP40trNIc5xOyKaRZzjNvLf84k5l1VWFhXy0uRH3uKslCpqoMdoYYA4F3EBWqSKs1VA/vhvfpMLX389bbW6vNtnXmCDPedYXx/R7u5kdkShlGXxcO1ka7g8HsTjyejhJux4zpbwp+m4i/f3FyVykJ+I2ukQjGayayObJ112kIWdATnu6moSoVDGWVnCra06pFFiRmPJ0JLgmDhb3ldXV1Kc/RMn2srUgMyeqPV46Rs3rji7WbI17OQ5g9GRmNFzDoeLPifWjSrd0PK4Dc/Z+u0yhTWiRWZr5AxrWLHhYjznmpqsHY1lfn9R8fdkimVPT9qO5khbmxbnEqM7BE1SH/0c8ZxNcfbW19sWZsic8pbstCsyFFPm8xnpWOnCGjayNcAcOJMl5lxMpoZlF9LH3+OhUPE3kyxZFSoeL9pzztXRGLeRYZIr5lxsiC7Zd5JB+COdnXjr64uyrcmPgj1nc76+BgYJu1Jqq1ONGgmstKRic1ktBoc1/A4VhckUfkhe2EUKnYhk7GCL9/cbGRXWZAAFUpbFc06EQkWl/kEObz8YpLxI0UiGjtKIaNK7LeJ/w+X1Ih5PycQ5HgySiEZxeTwD7QaDxXeO5niKiHR0JAt9aUpDQeIsIrcAdwBdDMzeUED+dRSPUCxxLqbTx2KA53zgAIGmJkfalkmQ7FzYFplS0+yECCB7VkUsGCyqFgjkTv8rts0uj4cyvz+tt1hspUI4PBw6pzgX2SEIhjMwOMwQCwaL9pzdKXbTEensLCpzRZM/hYY1bgVOVUqNV0qNS1lGvTDD4QuvWNEAYziyq7w8GdZwzHO2wg+DxdnsTLLTa+7OIKIxG51rVpsyjeSLdHRQXmCdYYts6X92byiZRLTYsqwWnkAgc4egncE+Kc7AYGK9vbY953TiHA+FSIRCBdeJ1hRGoeJ8ECioqP1oIinONjxnMEYZHlq6lHhf35B5B4slU/jBblgDMhdVsu05+/0ZPeeoDc8rm+dczOQAA2xXVaV9lLcEu9jYflbP2Ua2huUth9PUt47b8JyttM9IZ+eQz5KlU7U4l5RCY87/DCwVkSeAAbdUpdS/OdaqEcLyFuyK88SLL2b7Aw+ACBM+/GEnmgaYnuggQXIirJGpBKedAR2W3XS1NRKxGNHu7qI7lJKZKxk8ZztPEZkq0yVnxynyf8MdCGQe3GJjVKNVW9rK2hlst9hyBJbwRtJUK9TiPDwU6jl/B2gGqoCJg5ZRj1Oec+Pf/R0A484919FZItJ6zg5UvMtUvN7OgA4wbyZp7EZNb6zYQTmZcr7tTA5g4ampSestWsWFio6T54g5F9tmy3NOJ6Kxnp6iPWeX14unujptKVlLnHXMubQU6jmfDIxXSqUPJI5yLFG20yEIUH3cccxevJhx5rx0TmGNjEvFqbBGOg833t+f7HAq1m66jAq7nlfOtEIbNxRvXV3aGUCShX6KzO31BAJp55YEM3xU5O9nncPBIqqUItLRYcu79Y4Zk1b07d5cNflRqOf8a4wpov4mccpzBpj5la84PoVPulKZdqq7WWTycO2kYkHmmLPlmRYrHGUVFeByDekES07LZKPN3pqapPikEm5tBZer+BtKIJAxZ9iO5+zyePDU1Q0R0XgwSCISsSXO5WPGpI1l2/39NPlRqDgvBO4XkTYR2SQiG62lFI0bbiqnTDEGjdi4uEtJOk803t+Py+stqrpb0m5lZcYRgk5kgQyugWFNzlrsxS0uF+X19UO8RSc8Z2smm0QsNmB9uK0Nb11dUXFhML3Qjo4hdsH+eS4fM2bIuUg+ndgYKJLJc07a1p5zSSn0ir6+JK04Qpj2+c8z+fLLC57pYrhwV1QM9ZD6+22PQMw07ZMT2RpgDNVOFR/L8/LY8erGjs0sznY855Q61KmDWcI258vzNTRAIkG4pWVIkSq7TyjlY8YM6RBM3gBtiHP5mDG0v/32kPWRzk7cgUDRg5M0+VGQOCullpaqIUcCLrcbl40c51KTLuUtHgrZElDLbiIUQsXjAzzDRCRiK1ySWg9kgDg70NvvHTs27aM82Iu/JycJ6OwcIM52a0n4U6btGiLOoZCt2H75mDF0bd48YJ0T57jc9PYH/19EOzp0Z+AwoGtrjCLSDYd2ynOGodkPdmouQ+bBItGODlzl5fYf5Qd5i8kqbDazNWBofm+4rc2e52yKc3+6jlebnnO68IMjN8D6elAq/bnQRY9KTl7iLCJHZhD2KMNdWTmk4y5mY7iyRToRTcRiqFis6PoXcHjE2+Abit0sAsge1rAj+la7Bnc2hltbkznFxWDN75guK8aJmHO0q4tEJJJc50TMOVOaXri1lfIiqyBq8idfz7lTRJaJyB0i8iEt1iOD5Tmnzg7tRFgj3Yg760IvtiA+ZC7WFOnqst2ZVD5mDPFgcIC3b2fOPAuv5Tmb4gaGRx4PBm15zt76elxeb9rZyO0O9rFKBPTt2ZNcF2lvR8rKkgOriiHTAJdwS4v2nIeBfMX5fOD3wEzgIaBjpMRaRJaKSChl+e/hOvZI466oAKUGFJl3IqyRznNODm5xQJwHjz60+xgP6b06u/WnISXmnOI5R2zmOIMx/N7X0JAxn9zODdZK2ezasCG5LmLGhYuZQd7CKj1gzegDxkCfcHu79pyHgbx+OaXUW0qpHyulrlBKTQWmAz/CqET3NNCR1YCzNAE1SimfuVw7jMceUdKJnZ36xRbpYs4JcwYMO55z0gsdFCKwK0aQ3quzW38azCpvIgM8Z7sDUCx8DQ1DPGellO3zEZg5E1d5OV3r1yfXRTo6bNdb9jc24g4E6E7pbIx0dEAiUfTkDpr8Kei2KiJlInIu8GXgm8BngNeA75agbemO7wNiSqn0c+f8jeNOU1PCUc95kOiDc5kPqTghzlaIoWvTpgF2wZ7nLC6XMbtIyg3Fem11FhZLxeTJdG/ZMjAUEwqBUrYGzrjcbqpnzx4qzjbj+iJC9fHHDzjHIXN2ej2xa+nJt0PwGyLyDNAK3At4MQR5nFLqw0qpH5SwjakcA3hFZI2ItIvIH0SkuMl/unklAAAgAElEQVTzRiHpZgBxQujSzZTtRMw5Wdls8Ei+NNNLFYrVwfbu7bdz8JVXDLt9fYjHYzv/1jd+PMG9e5Pv7cyOncq0z32OaGcnOx55JLnOifQ/gNqTTqJrw4Zkf0S0q8tWep5F9ezZ9GzZkhxIFDbF2afFueTk6zn/f8A5GML890qp7yilliilIjn2c5o6YCNwFYZQdwG/SbehiHxZRFaJyKquDBNgjjbSFdx3Ks8ZBnrOVljDViqdz4fL5yPaMTDqZTdFDwwBnfvAAwAcWmqk31uz2NgdRFR9wgl0p3iLMRuzWKdSf8YZ1J95JvufPTyRvTXPZLl5symWimnTiPX2JivfxWxW57OoPv54Yr29yZuVFUbSMefSk684N2CMDpwOvCAiu0XkIRG5UkQc/5VE5DsiEhu8AP+glPqQUmqjUqobuAW4QESG/BcqpX6ulJqrlJpbY/Nx9EghXWzYyTzndB2Cdr1Qb23t0JizAx2CABM//GHGzZ9P2/LlgFHW027RKoCaE04gdPBgUoisanJO1FypnjWL/hSvvPe99wComjHDll3Lk7XCDk48UQHJmXyCZiaI5TnbyVzR5Ee+HYItSqnfKqW+pJQ6BrgAeBu4HNglImudbJRS6vtKKffgBXhSRC5K2dQDxIDh9uBHhMF1jDvffdeYi88hzzk1lS5uec42whpginNHB4lolLaVKwnu3euYcACMmTePnm3bCLe22p7/0cKaG69ro1EyJinONj1nMDrZol1dySJIPdu3I2VlVE6bZsuuJZbhVHF24AZoeciW3XBbG2V+vyPnQpOdQucQrADOBM42l3kYoYXN2fZzkHrgeyLyMWA/cDfwhFIqPkzHH1FSY87Bfft4/eMfB+x7t+mmwEo4UO0OzPrI7e2suv56Di5ZgruqChWPOybO9XPmANC5fr1Rv9gJ7zZFnMefdx6xvj6juNSgCVSLocIsft+/fz+e446j9733qJg2zfZvmCqiSinbtbgtfIPEOdbTY7tjVJMfeYmziNyPIcYnAW3AUuBZYLFSariEGaXUoyJyHEaGiAAvAF8fruOPNKl1jHf+xgi11552GuPPP9+WXXG5hpT3dMpz9tTW0vz884DRuZicKNWhyn9+Mxc31NxMrLeX8vH2p7P01tTgnzyZbjNvONbX54joA8mZSfr37aPaFGe7IQ1IEefWVqMzN5Fw5ByXVVZS5vcnwyV25iXUFEa+MecxwM+BU5RSE5VSn1VKPTicwmyhlLo9ZYLZzyulhjPHekRJ9Zz3/N//MeHii5n/5JOOTFE/eAZuJzoE4XDGhjsQ4ITbbkuud8pz9o0bByJJcXYi5gxGaCM1rOGUOFsDO4J796Licfp27SLggDh7amoQj4dwa+vhDBAHzrGIUD5u3OH4uwOZNpr8yMtzVkp9ttQN0eTG6n3v27GDSFsbY+fNc8z24Cmw4g4MQoHD4lw9e/aASmZOibPL46F83Dj6m5uJOiiiNSecQPOLLxoZEH19jsVYvWPG4Covp3/fPqK9vahYzJHONREx6o20tByedMChNlt2wRRnHW8eFnRVulGEy+tFPB461qwBDMFzikyes11xdpu5toHp0wfk3TolzgD+iRPpP3DAUQ+35sQTQSm6N2827DokSCKCf9Ikgvv2HQ7xOFSm1jduHKGWFkc9ZzBCJsmORgdvVJrsaHEeZbj9/uRw2urjj3fM7pCYswMjBOFw0Xd/Y2PJxNk3YQLB3btJhMOOiXNqp6CTog9Gjna4rc3RFD0wPdzUsIZD4QffuHGErLBGX5+OOQ8TWpxHGdaF4Z882VbFsSF2B01VlfScbWYRjDnrLAAaLrhgQC+/EwMkLPymOINzQudraMBTXU3P9u2OhjXAKEsa6eggaoqzU3HyIWENpzznsWOJdnSQiER0zHkYKX7iOc2IYFUZc6ITMBV3RQXhQ4fo3bGDWF8f8XAYV3m57dF2Ey68kI+sX4/b7x9QpMhJ7yt1ZhGnhE5EqGxqou/990sjzu3th8MaDrXZW19PpLPTcc85NRMkHgxSpsMaw4L2nEcZ1nDf6dc4Owm61SH4xuWX8/pllxE+dMh2Gp2F5cGlxlYdDWukiLNT8VswRsf1WuLsoF1vXR3Rzs7kQBSnbHtra1HRaLKKnmMxZ6sCYHu74zcqTWa0OI8ypnzqU9TNmeNopgYYnnO0u5todzcAe//4R9udgYMpKy9PDmpxUpxrTzkl+drJ2HCgqYnQwYPGHIhOes719ah4nNCBA4Bz3r6VDWPdwJ0KP1jV7fr377ddQU+TPzqsMco47e67B8yE4hSDy2SC/c7AdHhragiFQo5e4BVTpiRfOy3OSbsOirMlon0Ox8mtmL4l+k7dAK260P379gHOngtNZrTnPAqxGwdOx+TLLku+brjIKF/itOcMh1PrnBR+EUHchp/hpHCUSpwtTzS4eze4XI7FhpMeriXODtu1KtPpbI3hQYuzBoCqY4+l/gMfwB0IJEMmgydmdQJPdTXidtvOAhnM7MWLAfuzlaQSmDEjmUvuZMy53PREg3v24HGgxKmFNfOMFdZw6gboqa4GlyspztpzHh50WEOT5OxHHiERidC2ciVA2slI7eKtqXE03mwx40tf4pirrnKsExOMzJj5//d/7Hv6aRoWLnTMbtIT3bMnOTmrEyRjzgcOUOb325o/MBUpK8NbW5ssdarFeXjQ4qxJ4vJ6cXm9VJjlK1Xc+WJ/ntrakl3cTgqzhcvrZconP+mozdTpo5yMkVsx53gwaHv+wMF46+p0WGOY0WENzRCs4jyl4Njrr+f0H/6wZPZHA2WVlcmwjpPiXFZenhROpwXUW1fnaF1rTW60OGuGUAoP1CIwfTpjzz67ZPZHAyKS9J6dHOUJh71nJ0dgwiBvX4vzsKDFWZOWc594goUvvjjSzfibpf6MMwD7kxkMJrVEq6N2U8RZhzWGBy3OmrTUnX76gFQyjbNMvvxyADpWr3bUrpVG13DhhY7aTY1ha895eNDirNGMAOPOPReA6V/4gqN2LY952uc+56hdy3Ounj3b8TRITXp0toZGMwK4PB4+tn274wOKzn7kESLt7cmcZ6eY8qlP4a6qYvJll5VkEJRmKFqcNZoRohQiVzltmu2ZvNPhra1l2hVXOG5Xkxkd1tBoNJojEClFEZ0jDRHpAbaUwPRYoDXnVkeWbW23tHZLaXu02T1OKeVsruBRxNES1tiilJrrtFERWVUKu6W0re2W1m4pbY9Gu07bPJrQYQ2NRqM5AtHirNFoNEcgR4s4/3yU2S2lbW23tHZLaVvbPYo4KjoENRqNZrRxtHjOGo1GM6rQ4qzRaDRHIFqcNRqN5ghEi7NGo9EcgWhx1mg0miMQLc4ajUZzBHLUibOIfENErhCRzRk+v05ErhrudqVphxKRCaXex0lEZEGm86rRaArjqBJnEakGriZ7kZdHgBtFJOckbCJyl4gkROR4p9qo0Wg0cJSJM3Ad8EcgDrhF5Kci0i4iq0XkNAClVBh4Bbg2myFTvK8GfgX8U5btFojIShH5iYi0iMhmETnT/OxCEVknIr0i8riI1Jvr15u77xWRhjQ2vyQiu0QkKCJvicgpg/cxj7tRRO4XkT4RWSEil4rIu2Y7bk2xd7G5vktEnhGRKeb6O0WkTUSazRtRQf8v6exmOx/mPp8Tkd0ickBEvisiO831r4vINebrG8zv7jHfv2B+tyHnxfz8TRG5KeUYN4rIM9l+A41mxFFKHTUL8CZwDrAAUMA3gQrgO8BmwGVu9xHghRy2rgMeAyYDnUBdhu2sYy0GfMAPMcR/MnAQ+CBQCzwM/CplPwVMSGOvGggCpwJe096Tg/dJOe7XgQCwAtgNNAGzgQhQA0wDOoALTNt3AG+Y+282t5kAbAUW5TgnC4DN5utsdoecD3OfYzGeak4D6oGXgJ3mZ/8KPGC+fgzoA84Eyszj1GQ5LzcBL6W0cwnw97l+A73oZSSXEW/AsH1R4ykhal6EC4D9KZ95gB5gpvm+EejNYW8dcI75+nHg1gzbLQAOcXio/AJgO/At4P6U7Y4BOlLeZxJnH3Ci+X2mAncBrw7exzxOR8pxfw78KMVOKzALuA14ZNC56AM+a+7/KYwbWADw5TgnqeKcze6Q82G+/mfg5yn7LEwR5/OBtebrrcD9wDeAOcDKHOdlChACqoA687euzvUb6EUvI7kcTWGNMRgXbpf5/oD1gVIqCrSY2wC0A5VmjHoIInKBsZtaZq76T+DrIlKW4djtSimriEkIo472NODLIhISkRCGl1olIr48vsu3gV0Y8fETs2x3KOW4CaB70Ocusx3brRXmuegCNgI3YoRsDmJ4q3V5tM0ik93xpD8fYIjo7hQbzSmv3wKaRGQ6hsg/h+Hxngu8bG6T9rwopfYA7wAfAhZheNHd2PsNNJqScjSJsyUA1sRtE60PRMQLNAB7zFWJQX8H808YnhsASqk3MDzRTxTQnkMYnqxPKeXDeCw/SykVyrHf32N4eNOVUguAP2fZNp+qVi0Yj/cAiEgNxswYdcAapdR5GKJphYHyJZPd3Rn3MMIS41LeH2u9UEpFMEIzN2CEp5YB8zDE2QpTHEPm8/IE8FHgMuB35rpifwONpuQcTeLcguGlWd7fRBH5qoiUA7cCq5RS+83P6oF+pVTvYCOm53YehieZyn0Ynma+PAl8VkRmi0glcC+G52cRxxCzwbgx4qw+s8PresAjIpJln1zt+LSIfFBEAsD3gGcxhPEhEZmIIcw+jHNo125nln2WAFeIyHEiMpahN4MlwJeAN5VSHRhPAgsxYtnZzgsY4rwImA88ndLGbL+BRjNiHDXirJSKYcQmTzZXrca4UDsxPN4vp2x+EsZjdDq+DlQCW0Rkr7UAdwLniEhe0/0opd7FiMs+g+HBTcMQFIungNUiMm7Qrr/BCA8cAh7AELBZwNey7JOtHX/FeBL4DYb4zjbb8QiwAVgP7DQ/uw9ARGIicn6RdrPt8wxGiOh1jLDKSiCWssnLGLHiN833rwMblVL9ZD8vKKV2YjwZvaGU6jPX5foNNJoR46iq5ywitwA1Sqnbc2x3J7BXKXV/tu00ziIidUDAjBEjIh8G/l0pddbItkyjGX6OGs/Z5JfAx0Qk48S2Zu7sJRj5y5rh5VRguYhMFWOk42KMdDqN5qjjqBJnpVQn8F8Y6VyZ+DzwoFIqODyt0lgopV7FuCmuAbZhZNR8fyTbpNGMFEd8WENEXsfIIV5udu7ci9Ep1Af8m1LqwRFtoEaj0ZSAjI/3I42IXIzRUXduyuprgYuAEzAyKl4RkRVKqbUj0ESNRqMpGUdyWONcjJtHajrbVcA9Sql9Zk/7b4ErRqJxGo1GU0qOWM/ZyqgQkYtSVp8CpHrJGzA86SGIyJcx0+P8fv8ZJ5xwguNt7Ovro7Ky0nG7pbSt7ZbWbiltjza7q1evblVK5Z3WqRnESI8fz7Vg5NjOM19Hgckpn32eHAWKlFLMmjVLlYJXXnmlJHZLaVvbLa3dUtoebXYxBnaNuIaM1uVIDmukoxNIrbNcgVGcR6PRaP6mGG3ivBlj9J7FCcBfR6gtGo1GUzKO2JhzBh4DbhGRpRi1Hz6PUZ9Zo9Fo/qYYbeL8C4zaGLswQhw3KqW2jWyTNBqNxnmOeHFWSh2T8jqOUcjmayPWII1GoxkGRlvMWaPRaI4KtDhrNBrNEYgWZ41GozkC0eKs0Wg0RyBanDUajeYIRIuzRjNChFpaiIfDI90MzRGKFmeNZgRIRKMsXbSIrffd57jtWH8/sb4+x+1qhhctzhrNCNC1fj2R9nY633nHUbvxUIjnTjmF5V/4gqN2Abq3bOH9X+nZ24YLLc6atBx4/nk6HBYOy+6Wn/zEcbujjdblywFD8Jxk609/CokEHWvWOGo3Hg6zdNEiNvzHfxBub3fUtiY9Wpw1Q4h0dLDq+utZ9tlsUy0Wx6rrr2frf/6n43ZHG5Y4R9rbCbe2OmJTKcX+Z54x3oiQiEQcsQuw58knk697HL6haNKjxVkDGB7tqhtuQCUS7H78cQDcDhRgj4fDNL/0klV/e8D6o43uzZtpWbYMlUjQ+c47BGbMMNY7JHZ9O3cS3LOHmpNOAqUIHTzoiF2A9tWrQQRw3tvXpEeL8yinv7mZRCxm2867//IvHHj2WQ4uWZIUZ9/48bbtrvvnf+btr3yFthUrBniITnmLowWlFEs/+lGWX301fTt3EuvtZconPwlA98aNjhyj5bXXAJhmPvEE9+1zxC5A57p1NFx4Id76eu05DxNanFOIh0IE9+wZ6WZkJdzeTqTDmF8gdOgQL51zjiNhAm9dHQCrb7iBvp07AYh2ddmyGTp0iL1/+AMA7W+/TdemTcnPwi0ttmwPF5GODt665hp633/flp3OdeuSr/c9/TQA4847j8qmJlqWLbNlOx4O07NtG/v+/GcCxx7LmHnzAOjfv9+WXYtodzd9779P7SmnUH3ccXRv3uyIXU12tDin8N5DD/HqokXE+vtHuikZefXii3l+7lyUUrStWAFA65tv2rKpEgn6du/GW1+fjFNO+fSnidgUZ6t91utUD9FpcY729CRFz0l2PPwwrW+8wc5HH7VlZ/+f/3zY5iOP4PJ6qZo5k4aFC2lbscJW6tvOxx7j1UsuoWP1aqZ+8pP4J04EnBNn68ZSd+qp1Jx0Et2bNxPt6XHEtiYzWpxT6N68mXgw6NhjZimImD3lHWvXJkXZO2aMLZv9+/aRCIc5/pZbmL14McfdeCOV06aRCIWIh0JF2+3Ztg1cLqZdeSXta9ey5w9/wFNbCzgf1ljxxS+y5sYb6du1y1G7B5csAQzv0Q7BPXsIzJyJy+sl2tlJ9fHH4/J4aFiwgEQkQutbbxVtu2Pt4TmPJ3/iE5T5fHjHjKHfobDGwZdfxlVeTt1ppzHx4otJRCI0v/iiI7Y1mdHinELfjh3AwEfQI4lYb2/y9Y5f/Sr5OBxqbrZlt2f7dgCqZsxg5le+wqwbbsBTUwPYC230bNtG5bRpTP7EJ1DRKL3btnHCbbcBzopzuL09KVBOhqX6du+ma8MGwH4nWOjQIXwTJjDpYx/DW1/PrG98A4Cak082jmWGkoqhd/t2xp59NhcsWUL52LEAVDQ20n/ggK02q0SCvX/6EzseeYSGCy7AHQhQe9pp+Bsb2fPEE6hEwpZ9TXa0OJuoRCJ5gRQqzrG+PoJ792b8PLhnD29+7nO280P7TOGpmDKF/c8+S/++fbgDAduPr72mOFvZAwBeU5wjnZ1F2+3Zto2qWbOoP+MM5v7sZ0z59KeZ/PGP46mrI+RgWCOZPoaz4txmprs1XHghvdu3k4hGi7YVam7GN348p//gB1z89ts0LFgAgDsQQDye5BNRocTDYXrfe4+600+nctq05Hr/pEm2/y8OLlnC2ptvBqDx7/4OABGh6YtfpG3FCp0SWWKyirOIzBSR0wetO7G0TRoZQgcPEu/vB5GCB1+s+vrXefn88/nrt78NGPHP1At50w9+QNuKFRx8+WVbbQzu3g3ASd/7HmV+P3VnnMGM664j0t5uK/zQtWEDvokTk52CQDL8UKznHA+H6du1i6pjjwVgwkUXcdpdd+HyePCNHeuo59z80ktUHnMM4vFkvUnmS7i1lXgoROuKFXjHjGHSokUkIpHkk1WhqESCcEsLvoaGIZ+JCOX19clO3kLp2bIFFY9TfeLAy9I/aRLBffuGpDAWwoG//AWAOT/5CRM+9KHk+ulf+AINF13Ejkcf1d5zCckoziLyQ+B7wD+KyMsi4jM/cr4YwBGA5TWPmz+f4O7deXt2h15/PZnCtPvxx2ldvpxXP/IR1t5yS3KbfjPsoOJxe20046n1c+Zw3tNPc9ZDD+FvbDSOYeMRtnP9empPOmnAOrthjfZVqyCRoPr444d8Vj5uHOFDh4qyO5hodzdtK1Yw8eKLqZg0ybbnrBIJXl20iBfOOovWN95g7FlnUT17NkDRWQrhtjZUPJ5WnMHIlCn2qcoKSVUfd9yA9f5Jk0iEQkWLfiIa5eDLLzP5E5+g8WMfQ1yHpUJEmLRoEdGODrrWry/KviY32TznuUqpq5RSXwH+wGFRltI3a/ixQhlTP/MZwEj9yodtP/sZ/kmTuGTtWsrHj2f1DTcQOnCA/c88w4Y77iDc2prsmLEbGw7u3o2nthZPdTWB6dPxVFVRYYlzEY+wKpGgZdky+nbsMAYupOA1PediMzbef+ghvGPG0HDBBUM+89rwFAfTsmwZKhaj4YIL8E+ZYttzbl+zhkhbG7HeXqI9PUz5zGcITJ+OeDxFx52twSCZ8sa9dXVFhzWStidMGLDeP2kSUHzGRu/77xPt7mbc/PlpPx93jjHpfcsbbxRlX5ObbOLcLSJXi8g4pdRPgRoRuR3wZdlnVBJqaWHbAw8w9uyzmXDRRZT5/bStXJlzv/ju3bSvXMn0q6/GU13N7MWLibS346mrY/zChex4+GHevOqqpCj32xTnvp07B8QV4fBFGSrCc97x8MMsv/pqgCHinPScC4w5K6XYePfdHFq6lOnXXENZefmQbby1tbbS9FQiwVvXXMPLCxey+d57KauspPbUU6mYPNm259z8/PO4vF4WvvQSF7/9NuPnzzfS3mbMKN5zNp8SBguohZ2bVejgQTzV1bj9/gHrk09URWZsWE9i1s1/MOVjx1J9/PF5XSea4sgmzlcCdcBJKe9bgPdK3ajhZvfvfkesp4eT/+3fcHk81J1+Ou15FI6JvvEGLq+XKaa3PfnjH2fKJz/JsV/9Kmf98pd84L/+i77338dbX09ZRYUjWRVVM2cOWGfFiQvtuEtEIrz3y18ChmjUnXbagM/dgQBSVlaw3eYXX+S9n/+cqZ/5DDOvuy7tNp7aWqJdXUXHK0OHDtH6xhsEd++mb8cOxnzgA7g8HioaG23H31uWLWPMWWcRmD59wPD1quOPL1qcrZtyRs+5vt6W55wuXGLXc7Zu9j7TTjoCTU1H/KCt0UxGcVZK9SmlfqKUesV8H1dKPaiUumr4mjc8HHjuOerOOINAUxNg/GNH2tqy7qOUIrZ2LePmz09mNogIp91zDzO+9CUAGhYu5MMrVvDh5csZd845tsQ50tlJuKUl2cFm4Q4EELe7YBHd98wzhJqbOeu//5uL3ngjGcawEBHc1dUFxZxVPM7GO++katYsTv73f8fl9abdzltbC4lE0QMZLG9w7NlnAyRjwslOzCJzkpVSBHfvHnKOwYjphpqbi8pe6d+7FykrS6a5DcZbV0e0q6uoYfihQ4coTyPO3ro6XD5f0X0R/c3N4HJlHcJfMWWK0elosy9Fk568U+lE5F9K2ZCRonfHDro3b2bSRz6SXOeurByQU5yOrvXrUe3tTPjwh7Nu562rQ8rK8E2YYKsQjdXxExjkOYsInpqagsIPSine/9WvCBx7LOPOOw+R9N0InkCAWDCYt922FSsI7t7NsV/7Gi63O+N2SREt8lHeEufZt93GcTffzIx/+AfDblWVYbdIcQ63tBDv76di6tQhn1lPLMVkbLSuWEHtKafg8njSfu6trwcKDyGB6TmnEVARwd/QUPT/XOjAAXzjx2f9HSumTEFFo44WWNIcppA854tK1ooRJJnLunBhcp27spJYMJg1DSm5n5mvmgv/xIlEu7uLGqa775lnePOKKwComjVryOfe2tqCPLq2lSvp3riRpi98IaMwA5RVVBAvoL17//Qn3IEAEy7K/q9it7PR8gYD06cz62tfS9rzVFcDxYtzn5mqWJlGnJOx/QKzTKI9PXSuW5f08tORDE0VGNrIlqIH4KmrKzpPvf/AgYwxcouKKVOAw/n3Gmc56gehdK5fj6e6moqUjjZ3IACJRNbYZffWrUhNTcZH1cFYF1ChF3frW2+x5qabku+tugmpeGprC/K6dvzqV3jq6pj88Y9n3c5dUZG356x6e9n/7LNMWrSIMl/2PmOrs7HYTrDgvn14amuHlDS1xDlWZLgkaKYqpvOcLe+0UC/x4CuvQCLB2A9+MOM2ljiHCzwfkfZ2VCyWOUWvtrb4p5MDB9L+r6ViiXO/FueSUIg4/02m0HWtX0/NSScN8CCtiz6b19izdSuuDD3Z6bAeXQv1jt576CF848cz92c/45Tvf39AvmnSdgGec6K1leaXXmLaZz+bU0TLKivz9vQjS5YQDwZp+uIXc25riVGxOdT9+/YlsxFScdsMa/Tt3g0uV9oMBW99PeLxFCTOLW+8wTuLFxOYMYO6OXMybldu1kYp9GaVM0WvyKwYpRSh5uac4uyfNAlcLu05l4hCxPnZkrVihIiHw3Rv2TIkjaysogIgY9xZxeP0bN+Oa/LkvI+VfHQt4AIMt7XR8tprNF56KRMvvphpZmhjiO3a2rztRpcvB6Uy2krFXUBYI7psGePOOy9t2GUwdj3n/n37qEiTRZAMa9jwnP2TJqXtyBSXC9+4cXmLc6Sri7W33krlMcdwzu9/nzal0KLYsIYVhskkooU+UVmEDhwg3t+f9gaYisvjwT9xYnLkqsZZ8hZnpdSdpWzISNCzdSsqGh0yOs7ynDN5jcE9e0iEQpSV2HM+8NxzqHicyZddlnU7KzUtF0opom++Sf2ZZyYfSbNhxd5zEdy7F9Xamnf8PSmiRXh1iUiE4N69+NPcGO3GnLs3b6Yqpb7IYHwFdLDt/t//JXzoEKffc08ymycTVgdpoeLcsXYtLq837ShMMG7asd7egqerOvT66wBZ4+QWgRkzkp3VGmc5qmPO1tBTqzKYhTsQADKLc8+2bQC4suSADiYpzgV4i/uffZbAzJkZL76k7dpa4v39Oad+Cu7Zgzp4kEmLFuV1/HzF2eoctYq858LlduOpri7Kc257+23i/f2MTXMsV3k54vEUFXOOdnfTs21b1vCDr6Ehrz4DpRS7H3+c+rlzqT3llJzbl5WX4w4ECnVzCzUAACAASURBVD4fHWvWGFkgmVIWrfBRgTerQ0uX4pswIa+noKpjj6X3vfd0Ol0JOKrFufPdd/HU1AzxInN5zr1mOpUrR2/2AJt+Py6fL+kdJaLRrEX9E11dtK1cOSDFLxPJ1LQcj7DWjMxjPvCBvNqcb7ZG64oVSCCQNj84E/l6+4OxaguPNYcPpyIieKqqivKcrZKj9bnEOY9c9djbb9O3cydT8wgdWRQ6ECXW30/Xhg3UnX56xm2KCR8deP55Di1dyvgsKZapVM2cSSIcdqTglGYgBYuziFSZ1epmpS6laFyWNlwsIttEpE9EHheRqmLspOsMhBRxzhBz7tu1y+ggMmPT+eKtq0teKMuvuYbnBoVTUomtXg1KMTEPcU6mpuUQ5/Y1a8Dny1tE3RUVJCKRnKUye7ZuxXXMMWk7KzNRSJzcIh4Oc+D55xl79tlDhitbeKqrixLn9jVrwOWi9tRTM27ja2gg1tubtZM02tND6NFHqT31VBovvTTv46f+b+Ti0Ouvs8Qs0p9PFki+ncWbfvhDVl1/PVXHHsusG27Iax8r716HNpynIHEWkVuAVuBNYFnKMmzVT0SkDvgtcCswGSOL5N8LtRMPh+neunVIvBlye87palzkQ2oNBWsKp0w3gNiqVQRmzHC0g61jzRrKmpqQsrK82psM7+QIbQT37sWVZ0phqu1cA30Gs/PRRwk1N9N07bUZtylGnGP9/ex54gnq58zJOuO41UGWbbaVltdfh74+Tvj2t7MO4BhMPp6zisdZd/vtrPjCF/DW13PmL3/J+PPOy7h9vk9UYHRgvvfLXzJp0SLOffzx5PDvXFiDc7refTev7TX5k/9/j8GtwKlKqZGc4fFSYI1S6o8AInIX8Gfgxkw7qI4Ott53H1JWRiIaRVwu2lauREWjaR+Pc8Wc+3btYuxZZ1HoQ3m60pBdGzcy5swzB6wLt7YS37qViV/7Wl6PlvmU9wwdOkT35s14c3QupmJlrcT7+iBDp1a0p4doZyfeQsW5spJwjiHyqSSiUd77xS8Ye845yYpoae1WVRUcc972058Sam5mzo9/nHU7K/bfvXkzNSeckHabQ0uXQkVF1nBDOrx1dTlrd4Qfe4xdS5fSdO21HHfTTbhzPLnl+0QFRk0UFY3S9A//kDGGnQ5PdTVjzjqLrfffj7+xkamf/nTe+2qyU2hY4yAw0rOfngKsTXm/HmgQkUDqRiLyZRFZJSKrEt3dbPnxj9l8771s/c//ZMuPf0zbO+/w22iU0z7zGRobG7n33nsBmDNnDk1mrYZfP/ggAIsXL6axsZHGxkaOaWwkdOAAB+Jx1q1bl1z/qDkBqPW+sbGRa665BoBrrrmGxsZGnl26lK1r1gwYeXjTpz5FY2MjL7zwAs3NzTQ2NnLzGWeglOK3ZonKSy65JGlzjhkTvffee5Przr/kEgB2bN484Pip3+nauXNBKfabObWp36mxsZHm5mZeeOGFAeuWmzHqc888M+N3Osc8V66xY3n00UcH7J/6naxl8eLFACxdvpwdmzZl/E6NjY2sW7eO/v5+Ghsb+VhTE+GWFv5qZmTMmTMnud0l5vdfvHgxz7/2GhtXr874nazfyfrtPjRlCtsffJApn/40N//0pwO2BQZ8pxPOPx88Hg6Y9gd/p0suvph3f/97ehsbmWvecNN9p9T/G+t38tbV0X3gQNrv1NjYyLGNjURee43xl1/Ovg98gGnHHpvzf88S53/55jczfqfGxka6u7vZ+Yc/0JJIcNKiRQO/U47/vcbGRiq+8Q0qzjyTa26+ecj/nsYGSqm8F+DvgJ3AD4F/SV0KsWNnAX4BfHfQuigwKdM+s2bNUrFQSMX6+1UikVDxaFTl4pkTTlDr77hjyPquzZvVU01Nau+f/qReeeWVnHZSefdf/1U9e+qpKtTWpp5qalJPNTWp1TfeOGCbvt271Z9PPFE9e+WVedsNtbaqp5qa1Pu//nXGbd686ir18kUXqSVLluRtt/nll9VTTU2q/Z13Mm5z4MUX1VNNTeql//7vvO0qpdRfb79d/WXu3JzbWed4xXXXqRfOPjvnb/fObbep5+fNy9vusiuvVC+df76KhUI591FKqaWXXqre/Pu/T/tZz/vvq6eamtTz3/teXrZS2fbgg+qppiYV7etL+/nep59WTzU1qbbVq/O2mUgk1NPHHac23Hln1u2WPP+8emb2bPXuv/1bQW3OBbBKDZMu/C0uhXrO3wGagSpg4qBluOgEkr1BIuLFCM9kDbiWlZdT5vMhInnFAt0ZRsd1b9oEQKCAzAQLb10dsZ4e+lN6tlOnxIoFg6y87jpcXi/ln/hE3natMEy0txeVptpbPBymfdUqGhYuzCtMYjEgrJEBq2SkFBrWqKjIO+YcCwZpef11Jn7kIzl/O3cB2Rq9O3bQtmIFU6+4IusgkVSqZ8+me9OmAU8/FlY2TNmg4lT5kGuQUjJckqXDcjAiQu1JJxlx8CzEt24lEQ5nLKyvGRkKFeeTgQuUUl9RSn01dSlF4zKwmcM1pgFmA9uUUo6GW9yVlWlFqX3VKtyBANV5dNQNxsp1tmKLkxYtIrh7d7KQz6a776Zn+3bOuO8+XOPG5W23rLwcl9dLrLeX937xC/5y2mkD4rmd775LIhKhfu7cgtqb7BjN0iEY3LePsooKJBDIuE0m2/lkggC0LltGIhJhwoUX5tzWU11NIhTKa+DFvqeeApeLKZ/8ZF5tBiPVLtLensztTqXjnXdwBwK4cgx7Tke2UYIqkaDltddwn3hi3p25Fo2XXkr35s1ZZ3GJrV+Py+tlzFlnFdZoTUkpVJx/DVxTgnYUwh+B+SIy38zc+D7wP04fxB0IpPWc21etom7OnIIvEjgszl0bNwLQaHbOta1cyY5HHmHno4/SdO21WTu8sra3t5cDL7wAHPbwATpWrway5/CmtZmHOPft2EHl1KkFeeRg1O3IZdti/1/+gruqivo88rMLGcJ98OWXqTv99Kw1iwfTeNlllI8fz9b7hk6l2fHOO9SedlpBKYUW5WYb0tVf7t60iXBrK+5Bg6XyYdJHP4q43ez+3/8d8llw/352/e53RF97jYYLLsiYnqgZGQr9L1oI3C8ibSKySUQ2WkspGpcOpVQbxg3iEWAPcAhwfGh5urBGpLOTnm3bCvZALSzvqHvzZhBh3Pz5uKuq2Pmb37DhP/6DhosuYvattxbX3kCAWE9PUmi6NmxIfta+ejWV06fnXUHPIp+wRveWLVTlGMGYtr15FJcCSLS3s//Pf2byxz+esR5yKvkO4U50dNC1YUPaOQ6zUVZezjGf/zxtK1YMeDrp2baN7k2bGFPk/4Y10UPve0MnGjq0dKlx7Cx58ZkoHzOGyZddxq7HHx/Q3lh/PyuvvZZ13/kOKMUJ3/lOUe3WlI5Cxfl6DIG+HPhH4Kspy7ChlHpaKTVdKRVQSn1RKZV93HIReKqqhnhf1lTx4849tyibSXHetInyceOSF3rH2rV46+o47Z578hKgdLirqoyYszmbhjU0PR4K0frWW2mHO+e0mSPfO9LVRejAgSEzPzth2yL66quQSCQL6ue0a1amy5VOF33rLYC8QiWDsc5l+6pVgBF22Hjnnbgr/3/2zjtOrrrc/+9nd2e2903dZLPZ9AQCgVCkN8ELKIIgHVSqqMCVolKuXsSCXvRaQEBRRER/XAQFAgqSBAiEkkJCQhrpm02yvdfZ+f7+OCVnZmdmZ3bO7M5kv+/Xa167c8oz33Nmzuc85/k+3+eby5TLL4/ZHhi/t6wJE0IO5ti/eDEF8+aRNkiNjnBMu+EG/N3dVD/3nL1sy0MP0bZlC/N/+ENy7r477FyBmpEjpjxnpdQbiWpIsuEpKBgQp9v1zDPkz5wZVb2EUFhhDV97O7lTpwIw+/bbyamoIH/GjEEL5ERsrxnWsGpQN5viXLdsGf2dnYw/66yYbVp5tGFrjJjnp2D2bIhxPsBoxdm3ejWlRx9NTpQVAKMJa/g6Ouh77TXKTjghpiHnFoWHHkqa10vjihX0tbay95VXqH3jDebdcw+Z5nc8FPKnT6fdrNti0bl7N02rVzP79tsZ2lStkG8OZtq/dCnTrruOzupqtj/xBOWf+xxTLr6Y7UuXDrnNmsQR6yCUUYM10qxl/Xq8paX4u7tpXrOGuXffHXN81cI5T59VIF1EoirfORgZ+fl07dljDzjo3LWLzt27qXnlFTwFBZQNobNH0tNJd2RV+Pv6Ajx7K65dMHs2fBxbZMspznVvv03TqlVM/sIXAkamddbU4K+pYezV0XdzDBbW6K6tZfmVV6La2pgV5RDlYNIzMyk6/HC2/f73gDET9fSvfpWpX/rSkOxZ5M+YwY6nnzYmvlWK+nffZbfp7ZZ/9rPsiWOI9NhTTmHrY4+x9Oyzjam20tKYefPNcbVXk1iiEmcRyVFKRT+Z3EGAp7AQX1sbb5r1Eebdcw/AoFMwRSLN47FFf7BC5rGSkZdHX1sbvQ0NTDznHGoWLWLLww9T89JLTLn00phGfTnxmJO8duzaxdKzzuKYP/zBfqyvW7aMzDFjyIwhs8TCimf3tbWx6tZbUX199DY3c8i999rb1Joe3dgoS5FC5IL7yu9n1a23GsX6v/nNIfcdAEy79loyS0oYc8IJVFxyyZBv2E7ypk/H391N565d7Hj6abY9/jgAE88913hycEGcO3bsoPLKK6m87DJyKyvjbrMmcUTrOTeLyAfAUvP19sEu1p6gEMP6++8nd+rUkPPLxYK3uJi+1tawUwsNFU9eHl01NeD3U3T44XTt3cuuZ54hLSuLGTfdNHS7hYX0trTQtnkz/t5edv31r5Qdeyytmzaxf/FiZt5yy5CEyfKcO3fuRJnpdPtff51599xj26t94w2krIy8CDWWB7TXijmHEOemDz+k4b33OPS++9gRZ4x1/OmnDyleHYkSc8j3/iVL2PXMM4w/80zmf//7eM1RnfFQevTRHP2731GycKF9jjTJTbQdgicD/wdMBx4HmkTkbRH5gYh8WkRiK8+WAoT6AQ+1I9CJFXd2W5yteQ/BeMyec8cdTLnsMo753e9iShULxvL0rSLze197DV97OxsffJD03FymXnXV0NprinPHjh0AjD35ZDp376Zt82bAGDhT//bbZBx6aEzin5GbC2lp9LW1Uf33v1P9wgv2Ois3OZpKfyNB3owZZJeXs/7++/G1tTH1S18is6zMFa9cRBh36qlamFOIqDxnpdRyYDnwvwAiMhH4FPAZ4EWMynDRDbFKEZye8+H/8z948vIoCSpQNBSsjI3sGGpBR0OG46LLLC2l9OijBxRUGgqewkK6qqvtOsb+7m7W3nMP+19/nTnf+lZAHD2m9pribNXGnnLZZdQvX876++/n2CeeoOH99+nv6sIbY26vpKXZNZ1X33YbYAz2ScvIoP7dd8mfNSuuTrtEIiKUHXssu//2N0qPOcaV70+TusTUISgi6RiifAZwJjAPeBN4zf2mjSxOcc4aM8YVrxkOiPNg087HiscxQi9rCDHgsHYLCmhpaaF7/36yxo0jLTOTPS++SE5FBVVxdIClmwMeLM+5cN48Dr3vPtZ8+9us+NrX6GlowFNURPpQcqjz8wOKvze+/z4F8+bRuHKlK52viWTql75EX3s78++/3xWPWZO6RNsheAvwaeB4YDPwOnAPsEwpFdsEZSmC1esPuBLzs20lMqxhkmsOaHADT2Ehfa2tdO3fT9b48Yw9+WQ2//KXzPzGN4bcyQiGh5uem0tPXR2IkFlWRsVFF+Frb2f9D38Ifj+HPfAA26KseRHQ5oKCgOHVm371K9IzM1E+H5MuuGDIbR4OCufO5aiHHx7pZmiSgGg9558DLcCDwDNKqc2Ja1Jy4BRnNx+DJ51/Pt7i4ohF3YeE6WVVXnllTEXeB8NTUEB/Rwdde/aQP2MGVV/5Clljxw466Ww0WLN7e4uL7RS9qi9/mfFnnknLunWMP/NMtr0Re2q9Jz+ffnMKsDl33smmX/wC1d/PvHvuCTm5gkaTjER7FY/DCGWcAbwqImkYoYx/A/9WStUlqH0jhjOsYYUi3KBg1qwhjagbjPFnnsncu+6i8oorXLVr3aQ6tm9nzAkn4MnPZ8qll7piOyMvj566ugEdljnl5XGNWLNqW2RPmsT0G26g4pJLSEtPD3i60GiSnaiyNZRSdUqpvyilrlFKVQKnAR9gDOPeKSKrIxpIQdJzcpCMDDyFhXE9vg8XGdnZTLvmmqhLX0ZLQOzd5Ti5lb/s9szNVhEhq06Jt7BQC7Mm5Yh1DsEcETkFuAg4GyPFrgWjjOdBhYjgKShwNd6cijiHlOdEOa9ctFR9+csAQ6rwF4l5d93FyYsWUX7uua7a1WiGk2g7BB/CyNI4BGgA3gBeBu5UIzufYELxFBSQOcrF2Rl7j2dEXShyyss5+ne/c32kWmZZWcwV+DSaZCPamHMp8Biw9GAW42DGnnqqFmeHOEc7I3MsjDv1VNdtajQHA9EOQrkk0Q1JRg4x62mMZjIc4qzRaIaP2Kds0IwqssaMYdLnP8+Jzz8/0k3RaEYVumSoJiKSns4CPc29RjPsaM9Zo9FokhAtzhqNRpOEaHHWaDSaJESLs0aj0SQhWpw1Go0mCdHirNFoNEmIFmeNRqNJQrQ4azQaTRKixVmj0WiSEC3OGo1Gk4RocdZoNJokRIuzRqPRJCFanDUajSYJSWpxFpG3RORYx3sRkZ+JSIuI1IjIjSPZPo1Go0kUSVkyVETOAs4HTgha9RWMGcDnAiXAEhF5Tyl10E0wq9FoRjfJ6jmfgHHjaA9afgXwE6XUHqXUR8BfgIuHu3EajUaTaJLSc1ZK3QsgImcErZoPOL3k9RietEaj0RxUJKU4R6AAaHG8bzOXDUBErgeuN9/2iMi6BLSnDKhPgN1E2tZ2E2s3kbZTze6sBNgcNYyYOIvIXcB9IVb9USl1TZjdmoFsx/scoCnUhkqpxzBmDEdEViilFsbR3JAkym4ibWu7ibWbSNupaNdtm6OJEYs5K6V+qJTKCPEKJ8wAG4FDHO/nAmsS21KNRqMZflItrPFn4HYReQOYAVwOHD+yTdJoNBr3STVx/i1wKLATI8Rxq1JqSxT7PZag9iTKbiJta7uJtZtI29ruKEKUUiPdBo1Go9EEkax5zhqNRjOq0eKs0Wg0SYgWZ41Go0lCtDhrNBpNEqLFWaPRaJKQUSfOInKLiIQsliQi14nIFcPdphDtUCIyfrj2G2lEpFJEuke6HRpNMjGqxFlECoCrgGfDbPIkcKuIZIdZ77T1YxHxi8hsN9t4MCAi6SPdBo0m1RlV4gxcB/xdKdUvIueKyEYRaRWRZ0UkRynVAyzBqBsdFlO8rwL+ANwcYbtTROR9EfmFiNSZn3e0Y/3pIrJWRNpF5BkRKXEUaKoWkXEhbF4jIjtFpFNElovIfHO5c7+LReRjEXlIRDpE5D0R+ZyIfGS24w6HvbPM5S0i8pKITHas+5GINIjIPvNmFPb3Yh7rByLyOLAqUlvNddeJyH4RaQC+Gul8azSjEqXUqHkB72AM964EGoAjgTxgMXC3uc1/AK8OYuc6jKHkkzBGKhaH2e4UQAF3AlnA/wBLzHWTgP3AcUAR8EfgD+Y6BYwPYa8A6AQOA7ymvb851itgvONzv24e33vALqAKmAP0AoXAFIzCUaeZtn8ALHO0faO53XhgM3B2hHNyCuAHvgZ4IrUVmG6etxPMY38R6B7p34d+6VcyvUaN52x6fUdh1IC+BHhBKbVSKdWOISjvm5uuxRDMSHwDeFgpVQ28ClwbYds64KdKqW7gJcDyTC8HnlVKvaOUaga+C3x+kM/tNY/hIwzB9AGlYbZtBh4yj2+N+VnblFIbgFZgHHAp8KJSarFSqhX4HrDAEbceB3za3P4IjJtYJGqVUg8ppfoGaevFZnuWmcceqjqhRjOqGTXijCEMaRj1oCuAbdYKpdQGpdRr5ttGINeMTw9ARE4zdlFvm4t+CXw9Qpy1USlljZHv5kA9kynA9SLSbXaGbQTyRSRrkOP4DkZtkSeBeRG2q3V8rh9DYJ2kmW34xFpgimoLMFYptRS4FSNssx/jSaF4kLY1R9nWSRievEXNIHY1mlHHaBJnSxQFI6Rhx3NF5FOOLA1/0N9gbgYest4opZZhFCo/P8b21AI/U0plKaWyMMIHx5gedjiuxAjJTFVKnQIsirBtNEVT6jCEEgARKcQovL5LRA4DVimlTsLw9hVwWxQ2o2nrfowbpIXzf41Gw+gS5zoMz7UYeA74oogcKiKlwM8xYsJgTBzbZYYDAhCRqcBJGF6kk19heJmx8DfgEhGZIyK5wIMYniZAP4ZIBpMBpANZZufaTYBHRGSQ/SK14SIROU5E8jDCGi+boYajgMdFZAKGMGdhnMNoidTWvwFfMG+KRcDdMdjVaEYFo0aclVI+jLjyocqYrfsuDG9uM/Au8Htz00OA5WHMfB3IBTaJSLX1An4EHC8iUc8moYwJar+NEYeuxQgx3GSufgFYKSJjgnb7E0bYoRb4DYYnOxMjZm7vBwTvF64NazCeBP6EIbxzHG14EiM+vw7YYa7/FYCI+ETk5EHMh22reey3YaQ0bgL+5dwxSvsazUHNqCoZKiK3A4XKnEA2zDY/AqqVUg+F20aj0WgSzWgT5yKMPOajTE86eL0Hw7s+XinVOdzt02g0GotRE9YAMGOpj2Kk0oXicuARLcwajWakSUnP2ZxD8BjHoqeVUhFH9Wk0Gk0qkWpzCFpUYcSOe0a6IRqNRpMIUi6sYQ7S8Glh1mg0BzMpJ84YAxu8IrJKRBpF5PlULJOp0Wg0kUjFsEYx8DFwC1CNMXz6Txg1IGxE5HrgeoDs7Owj586d63pDOjo6yM3Ndd1uIm1ru4m1m0jbqWZ35cqV9UqpqHLuNSEY6cpL8b4wRsT1A9nhtpk5c6ZKBEuWLEmI3UTa1nYTazeRtlPNLrBCJYFGpOor5cIaInK2iJzhWOTBqHjWO0JN0mg0GtdJOXHGqH3xiIjMNivHPYBRfrJ/hNul0Wg0rpFyMWel1FMiMgt4E6PC3KsYNS80Go3moCHlxBlAGbUxwtbH0Gg0mlQnFcMaSUfX3r00rlgx0s3QaDQHEVqcXeDDb32Lty++mC2/+c1IN0Wj0RwkaHGOE39vL40ffADAJ48+iuoP3S/Zvm0b7193Hb6uruFsnkajSVG0OMdJ46pV+Ht7mXj22fja2mj5+OOQ29W/+y77Fy+mc9eukOs1Go3GiRbnOKlbtgzJyGDWf/4nAA3vvhtyu97GRgB87QNmv9JoNJoBaHGOk6bVqymYM4e8qipyp06lwQxxBNPbbExM7evoGM7maTSaFEWLcxwov5/mjz6i+PDDAcibNo3O6uqQ2/Y2NQHJJc5d+/bx4be/nZA4eMfOnfh9Ayab0Wg0UaLFOQ78NTX0d3TY4pw1bhzd+/eH3LYvCcX5o3vvZff//V/YUMxQ2ffaayw+7TR2PfOMq3Y1mtGEFuc46N+2DYCiww4DIGvsWPqam+nvGVhq2g5rJFHMue2TTwDo7+52zWZ/Tw9r7roLgNYNG1yzq9GMNrQ4x4G/upr03FxyKysByBpvlJUO5T0nW1hDKWVnjvTU1blmt+G99+zOz669e12zq9GMNrQ4Y8Re133/+/T39LB/yRI+fuCBqPbz79tHXlUVIgIYnjNAd23tgG0tce5PEnF2pvS5Kc77Fy8mPTubsaeeSseOHa7Z1WhGG1qcgS2//jXbn3iCva+8Qs2iRWx/4gmrVnRE/Hv3kjdtmv0+a9w4ALr37Qvcrq8PX1sbkDyec9Pq1fb/3S6Kc+3SpZQdfzwFs2bRuXu37hQ8iFnzne+w8ec/H+lmHLRocQYy8vMBaN20id7mZvy9vYPGhn0dHajGRvJDiXOQ59zX0nJgvySJOTd9+CHpOTkUzJnjmufc09hI5+7dlC5cSG5lJcrno2vPHldsa5KPXc88w5Zf/3qkm3HQkpJV6dzGb3aINa9ZY3fm9TY04DFFOxTtZmeg03P2FBaS5vXSExRztmKwkFyec9H8+aRnZbnmObdt3AhAwZw5pGVmAtCxYwe5U6a4Yl+TPFgd3JrEoT1noKehATC8Saszz1oWDlucq6rsZSJC1vjxAzoEnT/kZBBnX1cXrRs3UrxgAVljx7rmObdu2gRAwezZdvx9sPOoSU3at261/48mBKiJHS3OHPBs/T09dJsZBoOJiiXA2RMnBiz3lpTQY3b+WVidb9nl5UMS586aGvYvWRLzfuFoWbcO5fNRvGABmWVl9DY0hC3YFAutGzfiLS0ls6zMDhVZsXbNwYVTnJMlVHewocUZQ4gzgkIYvYOIc29DA3i9pOfkBCz3FhfbmRkWLR9/THp2NoXz5g1JnF8/8UTev/Za1zrXrM7A4sMOI3PsWFR//4A2D4XWDRsomD0bwA4J9bW2xm1Xk3w4xTlUdpImfrQ4Y3jORYceGrCsxxEnDkVPQwOSn2+n0Vl4i4sDYsxgiHPB7Nl48vNj9jKcVe66XcobbvrwQ3IqKsgsK8NTWAjEL6Kqp4fWTZsoOuQQANI8HtKzs+kb5Z6zUopeR4fwwUL79u32/26mYmoOEFGcRWS6iCwIWjYvsU0aXpTfT09jI4XzAg9rMM+5p74eKSgYsNxbXEyfI8as/H5aN2ygcN48MnJzY/aca15+2f6/w4Vyo0opmlavtoec2x5unCLav2MHyuejZOFCe1lGfv6oD2ts+t//5dWjjqL6H/8Y6aa4Sk9Dgz3oqkd7zgkhrDiLyP8A3wNuFJHXRSTLXPWr4WjYcNHb3Ax+P1njx5NZVmYvHyzm3NPYiITI5vAWF9Pf1WUPie7ctQtfezsFc+eSbopzLB0obZs2kZGXZ9javTvq/cKhmproqa21xdmt2HD/li0AFB9xhL3Mk58/qj3n0wA79QAAIABJREFU1k2b+OQ3vyEtK4sPv/WtQZ/GUom+5mbyZ8wA3M2T1xwgkue8UCl1hVLqBuB5DoiyRNgn5bBCEJmlpXbnXkZeXlQx53DiDAdGBNa98w4AJUceaYis3x9TLYvWjRsZe/LJiMfjijj7TRsF5pOCxxT+uD3nLVvInzkTb1GRvcxTUDCqxXnXX/+KpKdz1G9+g+rrY/+//z3STXKN3pYWcioqjNRR7TknhEji3CoiV4nIGKXUr4FCEbkXyIqwT8phechOcc6bNo2e+vqw+yil6GloIM2M1zoJFuf9ixeTU1FB3rRpZJidh9EO4e5taaGrpobCefPIKS93ZRaVfkucZ80C3POc/Xv3UjBnTsCyjLy8URvWUP391Lz8MmNPPZWy444jp6IiIESVyii/n76WFrxFRWSOGUN3hGtFM3QiifOlQDFwiON9HbA17B4pSJcpVlkTJtjinDtlSkSPz9fWhurrG9Rz9nV1Uf/OO4w77TRExM7siNZzbjPzhvNnzSJn8mQ6XPKccyoq7FizGzFnv8+HamoiZ9KkgOWjOazRuHIlPfX1lJ97LiLCuFNPpeG991xJWRxp+trawO/HU1REZmnpoE+ZmqERdoSgUqoD+IXjfT/wiPk6aGjfto00r5ecyZOpuOQScqdMoX3HjohZFZZXHa5DEAxxbv/kE/w9PZQefTQAGdnZAPR3dkbVNntQx6xZZE+cGLYEZ/PatRTMnUtaxuADPvt376bALHEKkJGbC8SXq9q9dy/4/QPEOaOgAN8oTaVrXrMGgNJjjwUgf+ZM/L29dNXUkDN58kg2LW6sDm9vURHekhIdc04QUafSich/JbIhI0Xb1q3kTplCWkYG+dOmUXnFFXjy8vC1t6P8/pD7WKGQwTznrpoaAPtiTDfFOdqZR9q2bCEjL4+s8eONFL2WlgGdiZ01Nbx1/vns+9e/BrXX39ODqq21c5EBJD2djLy8uDxca/aX7PLygOWj2XNuXreO7IkTySwpAQ6MJLVGlrpFX1sbjatWuWpz0M80UwO92nNOKLHkOZ+RsFaMIO3btgXUxwBHHDZMbDiSOFt5w71NTQNEyxLn/ijFuf2TT8ifMQMRwVNYiOrrG+B1W50x0QwE6N67F5Qa6OHGGRvuNIsbDbCbn4+/pyfk5APx0L59e9KLfsv69RQecoj9PhHi3LFjB/88/HDevugimtetc81uf3c3q++4I6ByoROrHIGnsBBvSQm9jY16CHcCGNWDUPy9vXTu3BlQHwOwU9fCCZb1WCfmdk7SPB48BQX0NjbSVV1NRl4eHjP8Eas4t23ZYqcrWVkQwQMarAslGrGyit9nT5gQsDwjTg+3q7oaRAbYtY7bzU7BvrY2lpxxBqtvv901mxZ7XnqJ3c89F7cd1dVFx/btAbnz3tJSPAUFropzzSuv2P/Xuji8f+tvf0v1c8+x9rvfDSm61u/fY4Y1oqniqImdWMT5oEqhA2NQh+rvH+A5D5ZeZj3WiRmvDSZ70iQ6d++mc88eciZNskcRxiLO/rY2ehsbyTPF2R7JF1QNzGpLNAJoiXNWsIjG6zlXVyPFxaR5vYF2XRrg4mSvGb5JxBRYq265hQ/vuCNuO/3m9F/OUaciQt60aQHDnuOlfvlyCmbPpuiww6h94w1XbHbs3MmWRx4ha/x4Wtevp+6ttwZsYzkI3sJCMktLjWUHUQ53shCLOB8ceUAOrAslbFgjjDfQ29xsCFGQGFnkVVbSsX07ndXVZDse9dMdHYIbfvIT3v3Sl8K2zW+GCizP2WN6zgPE2fKco+h4i+Q5x9UhuG8fYsbag+2Cu57znr//HRhYcCpenJ1a8dYw6Xv/fTLy8+3OQIucKVNcyVUHo/+gccUKSj/1KcaedBJNH34Y901Q+f2s+c53SMvI4FN/+hMQ+ibYFxTWAC3OiSBqcVZK/SiRDRkJbHEOE9YI6zk3N+MpKhpQV8Mid+pUOqur6di+nRxHJ1mGI5Wuee1amj/6KGzb/GZnYv706UCEsIb5PpoLs3vvXiQvj/SswFT1eDvueltbQz5FWGENt4of9Xd307BiBeB+PYfGlSvt/62O3KHQ39ODb/VqJpx1FulmTWuLrLIyeurr447P9jY18dbnP4+/p4dxp55q3MCViqvdADuffpqG995j3t13k1dVhbekJOTNpLelhYy8PNI8Httz1qVh3WdUx5zbt24la/x4O53MwhOF5+wNMQDFInfqVFR/P/7eXnIqKuzldrZGZyfddXX0mbOuhMJfU2NnakCEsIY1q3eUnrOYno6TeGtg+FpbkaDqfOC4obhQ8Q6MlEHV10dORUXEQUJDofGDD+z/O3buHLKdts2boauLsaecMmBdZlmZK/HZ9T/4Ae3btrHw4YcZc/zxdpgqXnHe+rvfUXL00Uy+6CLA6OC1OrWd9DU12Tderw5rJIyUFGcROUtEtohIh4g8IyLhpyyJQPu2beSZnqkTu0MwzEXU19KCJ8RjvEXe1Kn2/+PPOJDkYnms/d3ddpZFOI/DX1NjZ2qAO55z1969pIUQ53g9576WltDibKUVujRrhuXdTjjrLHzt7fiizBePhto337RDSPFMTGsJe/DTGBwQsnhuLLufe47q559n2nXXMeGss4ADYap4Zjv3dXTQuXs3Y44/3v7N5Zh9J8F07d1rOw1WWONgqhuSLMQsziKSb1arm+l8JaJxYT6/GPgLcAcwCaOj8vux2lFK0b5tG/khLiLPILHSQT3nykr7f2d6maSnk5aZSV9Tk/2oH+5CtcTZIj0ry9g3SJyjjTkr87E3nOfs7+kJ68VHtOv309fWFlKcw3n7Q6Vx5Urypk+3z4tbNR3at22jY9s2plx6KenZ2XF5zta+oQaaWIW1Qt2QoxnI4W9tZe2991J67LHMuuUWe3nW2LFIenpcnnOb2YmZP/PApZw9aRJdNTUD8v07du0i13wizMjOJiM/nxYXU/k0BjGJs4jcDtQD7wBvO17L3G9aWD4HrFJK/V0p1QT8GLhksJ2C43wN776Lr719QGcgYAyzFqEvkufsKPATjLeoiGnXXstx/+//DbQddPGHEueehgZUW9sAr95bVBQ+W2OQR+We+np8bW2kmZPQBtiNo6azr6MDlAopzmkej1FEyoWwhlKK5jVrKD78cDLNKbDcqumwzyxINO6MM8ipqIhYw0T5/RHjq507dyJFRXb/ghNbnIPa3bZ1K68deyyfPPZYxHb2/fvf+Ht6mH///aR5PPZySU8na9y4uOp9t5lVBZ0OQc7kyfh7ewOmXevv6aF73z5yHPNCTr3ySva+8kpA3F4TP7FO8HoHcJhSamMiGhMl8wFndvw6YJyI5CmlQiqUf+dO/nXkkaRnZeHr6CDN66W3sZHcqiomnH32gO0lLS3iwIzBPGeAud/5Tsjl6dnZAXWZQ4mzXVPDcaGA4YlGCmsopcJ2UrabnlFaUKaGZReM43KWTY0GS9BDiTOYkw+44Dl379tHb2MjhYccQtaYMYA7nrNSiurnnqNo/nxyysvJGjs27IAeX1cXb194Ia2bNnH2unUDOlbB8JzTzJtHMNa57Q36zuvffhuADQ88QOUVV4QUdoC+ZcsYf8YZAWEzi6wJE8KGNfb+618UH3GEfd5C0bZ5M2mZmbZHDAee+jqrq+3QSWd1tTGQyfFkMP3GG6n++99pXruWkiOPDPsZmtiINayxH4huBEXiKABshVJK9QA+c7mNiFwvIitEZEW318uShgaW1NTwr+ZmvAsXUnT55dz08cdUHXoo5eXlPPjggwAcccQRlJeXU9vaysvmgIQ777yT8vJyysvLqSwvx9/dzY76etauXWsvf+qppwDs9+Xl5Vx99dUAXH311fayHXv2BHjO37vtNsrLy3n11VfZt28f5eXl3HPppSgRfv788wB85jOfoby8nJUbN7Lc9PIefPBBysvL2WtmnKi+PtasWBHw+c5juvniiwHYaRZdch7T1TfdBMDbr70WsH80x3TqMccYB5KTw1NPPRWw7auvvork5fGv556zl915550Bx1ReXs4RZg1o65is19q1a+nq6qK8vJwvmPVJXl67lkxTZO648UbKy8v5zGc+M+CYysvL2bdvH6+++mrIY7K+u5MmT6ZtyxYqLrmEq6++mheWLmW7uQ4IOKavzJpF68aNoBTHTJ8e8pi2f/ABzR5PyGOasWABiLBr/fqANi032wTwmVmzQh7T9PJyVEsLGTNmhDym7AkT2LB8+YHv6aqrUH4/1112GStuuon/XLgw5DGVl5fT2tpK/bp17OjqYlJFhX1MlgBfd8EF9vdkPVVc9o1v2Pt/vHUrZT/7GSfec8+A354mDpRSUb+AzwI7gP8B/sv5isVOPC/gp8APHO+9gAKyw+0zc+ZMFStLzjpLvX/jjQOWd+7dq16oqlI7nn5aLVmyJGa7b3z2s+qFqirjNX26+ui//3vANm9ddJF66YwzBix//4Yb1NKzz7bf+/1+9eKMGeqVI45QL1RVqa79+8N+7trvfle9PH++Wrx48YB1TWvWqBeqqtTef/875uOpW75cvVBVpV77zW9Crl/+pS+pN847L2a7FtY53vCzn6kXpk9XfZ2dyt/fr16YNk1tePDBuO2u+8EP1EuzZ6u+9nallFIfP/CAenHWLOX3+wfs8/all9rf3b4Q57GvvV29UFWl/nn77WE/958LF6o1d99tv/f7/epfRx+tlp57rnqhqkpVv/BCyP2s76jmn/8MuX79j36kXpo9W/n7+5VSSr13/fXqg69/XdUuW6ZeqKpSK2+5JWyblixZov59yilqxc03Byz3dXerF6ZNU5t++Ut72bYnnlAvVFWp7rq6sPYsgBVqmHThYHzF6jnfBewD8oEJQa/hYiMHypgCzAG2KKVc9ejDDcywYryRYs6RsNLpJCODnEmTBoQ1fB0dNK9ZQ4ajOJGFp6goIETQ19qK6u+3PZxIMeP2Tz4hb9q0kGGPcANcosEOa5jHFUzwtF1DpfXjj42a2NnZSFoansLCAZ2jQ6Fl3ToK5syx0ym9ZWWovr6BHa+trTSuXMnkCy8EQs9K07VvHwBpZlZGKDJLSwO+87V33WWXFrU+JxTW05azs9lJ9oQJ+Ht77ZS21o0b2fvyy+z861+N/SMMflE+H1179gSENADSMzPJGjcu4Fg7q6tJz862M080iSNWcT4UOE0pdYNS6qvOVyIaF4a/AyeKyIlm5sYPgafd/pBwldqsH783TnHOnjDB6MQJ6qXf+8orKJ+P9EMOGbCvp6AgQDSslC+rhoOvrY36997j7UsuGZB50b59e8j0LuexDGUi0kFjzkVFrnQItplFoNy0q/x+o0CRowZGVphOu9qlS1E+H5MvvJC0rKyQ+b/dpjiHGi1pkTlmjG27r62NXc88Q8XFF1N51VXGsjDfgfVd5wQJqIU1YtLK2LB+p3vNAv+RRiaqhgZUfz+5jk4+i+Bc557GRjLLysL2bWjcI1ZxfgK4OgHtiBqlVIPZhieB3UAt4ProxXAzZdv1Kcw8z1ixCu7nz5hB9vjxAT3sSim2P/kk+TNmkD5zYHait6jImJ/QrPJmjXC05gPsa22l/p13aPzgg4BOLX9fH9379w8o6WmRkZcHaWnxec5h6ox4i4vxtbfj7+uj4f332fjgg9QsWsR2c3hwNPT39NBZXR3QEeYpKop7VuvO3bvxtbcHiLMVzw4egbhn0SKyxo+n5IgjIub/AiFzyS2yxo2zPWzrM0qPOYaM7GzSvN7w4rxzJ1JcbNcEH2DXkevc391Nf2dnwBD33oaGsHnhfrMdOSHEOTvoWPuam+0OZE1iiVWcTwUeEpEGEdkgIh9br0Q0LhxKqReVUlOVUnlKqS8ro1PQVcJla4SrTxEtVgpU/owZRh7p3r327BitH39My/r1VF5xReTwg3kBt2/bhmRkUDR/PmB4vlbak3PEVvf+/aBU2HoUdphgKKl0ra0gAiEyF4Lb/M6ll7Ll4Yf55Le/Zfsf/hD1Z3Tu2gV+f4Dn7y0qoi9Oz9nKzXWW9gyV7tbb0kLtG28w8ZxzkPT0sCPnrButRHiqyho/np7aWlR/v30DtT4z0ncQKQsEAgeiWANCpl17LblVVRSZN++uEG0G8JvtCA5rgOE5d+3bh7+vDxg8jVTjHrGK800YAn0BcCPwVcfroMKTnx8yz7mrpgZvaWnINKposC7I/JkzySkvR/l8tqDWLFqEpKeHTO8DRz6y6eG2b9tGTkWFfXH3NTXZj9bO2LR9Q4lQLMhbWDjAc2768EPbywtHn1lnQdJC/5SsYvPO9MGW9etjqsVgldl0irMbnnPbli2QlhYQLrE9Z4c4t6xbh+rrY5w5JDtn8uSwMWdvSQniyEEOJnviREOY6+pszznLFN14xNlbUkJaZiZdNTV28fvsiRM59dVXOeSeewBC3lDAEOe0rCw7f9xJzuTJ4PcfCJe0tOANMQOQxn1iEmel1BvhXolq4EiRkZeHv7vb9hgsumpq4qqIZl3U+TNm2GGGTnMUVs3LL1N2/PG2oAXjCYoNt2/bRl5VVUCesiX+znisdWFF8vY9hYUD8pHfu+Yatjz8cMTj6WtttesshKLsuOPIyM9n9W23HVjo9+Nrb4+6CH/79u2AUbPEItSAnFhp37aNnEmTAgoUeQoLEY8nQJztSYDNATxZY8fia2sbMBdk9759gz5RZZvhsO59++zPsG4IwX0KFn1tbcZs7xHEWUTsMJndL1JSYiy38pXNSofB+PfsIa+yMuTTmtXZbP1uraJfmsSTkrU1hoNw9TW69u6NS5ytKaLypk2zk/y7qqvZv3gxnbt3M+n888Pu6xwO7ff56Nixg7yqKtIyMowC/01NIcMa0YRigrMf+lpb6WtuDhgdFoqexka7vkIovMXFzPz610OOuot2eqP2rVvJHDvWHlYPhjhbseyh0r5jx4DsBxEhs7Q0IGZvtdO6aXrDVGLr3rdvQK3sYJyx4e7aWtK8Xvt79RQW0hvCc7YyNUKN7gy27QxrWN+LXeMkRP2LvrY2+jdtYswJJ4S0aYU6OnbtQillhDV0zHlYiEqcRSR0V/xBTKjKdEoZ9SmGGm8GOOLnP+ekF18kPSvLFvnO6mo+eeQRciZPZmKYkAYEZlV0VVej+vrs4eeeoiK69++3vclgz9lTVDSg+l6w7YBQiPUYO4iA9jQ0DDqqsOqaa1jw858z8+abAwryR1ssp3nNmoBOOxgYf48VpRQdYTJYsidMCKhT0dvUhKSn26Jkj/QLOjdd+/bZnnE4rN9O97599NTVBWQ+hEsP7LTEOYLnDEYYo8vhOVvlPNMyMowwUND53r94Mf88/HDo72fcpz8d0mbWuHGkeb107txpzKvZ3z/kTCVNbETrOTeLyNsi8gMR+fRoEOuMELN49LW20t/REZfn7MnPp3DuXMAoZpRZVkb98uU0rV5N5ZVXRpxB2+k5B8dhvcXF9rBvYIDQDnZD8Thizp27d9Pw/vuGnUEEtLe+flBxFhEmfe5zzLrlloDJB6LxnFV7O+1btw4YFux1hHKGgmpupr+zM+RQ6Ozy8kBxbmw06nebcfXMENXlOnfvpq+5OWy6ooWnsJC0rCzDw62vt0MaAN4wYY12M41uUHGeMIHu2lp6amsRj8f+DYPhRQffDDeao/ikqIiSBQtC2pS0NHIqKujYtSvuHH9NbERbW+Nk4BjgU8CVGLUsVgBLzdfbSin36jcmAaHCGpYHEy4lbSjkz5pl11awSkBGapOkp9Pb3DxgogBvURHNa9bY2wZ4ztXVIdOknGSNH2+EMtra+ODGG41hykQuom4VAcqMYUBCzqRJdJg3lmg6Ba0pn4LF2SrZOtS4s98M1+SGEOec8nL2vfoqyu9H0tKM3F5H6CZUdbm6ZUbtr7Ljj2dnmI43MGPDZvihu7Y2oEaFp7AQX1sbqr8fSU+3l3fu3EnWuHFIUPH+YLInTAC/n9ZNm/AWFwfEkDNLSgJuhq2bNtG6cSOzbr2V6oqKgM8LJreigo6dO+0b4WB1ZTTuEJXnrJRarpT6X6XUxUqpCmAq8DNgLPAi4E419SQi1Px3LeaUPYUhRu8NlRlf+xoABXPnDpi9OhhrFu6+lhbat23DW1JiP2J6HQMfPIWFtsfr9/loN2PTkbBir/XLl9vCDETsuOtraUH5fDEVSxp70kmUmfFNSyys4aqh6N+6FfF47HRBi1Ces1W+NBr8Zgw8uLgUGOEBf2+vnU3RGxRXD1WXue7tt8kaPz5klcNgcqdMoX3rVnrq6gKKEdlPRkHH0L59+6A3VzgQz25Zv35Ap7I1S7bF3ldegbQ0plx6KWmDiK01vZbtOWtxHhZiLRmaLiInANcDtwFfBN4E7klA20YU65Gw/ZNP7IulZf16MvLywo7SGgplxxzDzJtvZuY3vhHV9h4zS6F927YAIbA8yTSvl+IFCwJCFM7YdDjyTHHe/sc/DljX29hIf08Pm375y4AnCTvbIAbPuerLX+bYJ54gLTPTKI3q9/P6ySezI8ygFH9NDXmVlQNSF+1OLscTwpaHHuKfhx8eVYpd/6ZN5FRU2GlsTuwsGjO7IVicM7KzSc/NtT1nX3s7dW+9xZgTT4xq5FzB7Nm0bdliV0a0sKf1crRfKUXb5s0UhBiUNKDdpjj3NjYOeLrzlpQEevrvvEPRoYdGdWPNraigv7PTLiuqxXl4iLZD8BYReQmjlvODGMWG7gHGKKXOVEr9NIFtHBGssMaGn/yEj3/8YwB7qG+4nN6hMuuWW5hw5plRbZtZUkL79u20btwYILiWB503YwZZY8faomWVCs0fRJwtz6zh3XcHZBz0Njay8+mn2fyLX7D9ySft5bY4x1hmVERssejev5+uPXvYv3hxyG39tbUh60lkjR9PWlYWTatX88mjj9Lf3c2eRYsAqBtkJmrl9+PbsoVSs9JdMAOGQjc1DchIySwtpbe+Hn9vL9v+8Ad87e1MuWTQsuKAEcrCLGDvjPWG6uTsqqnB195u7DMIzr6QgqCnu8ySEnqbm41jN+u3lB13XFTttZ66mlYblXp1h+DwEG3M+ecYZTofBJ5RSm1OXJOSA2faVtvmzfh9Plo3bKDy8stHsFUw7vTT2fDAAwABmR2WN5NbUWHUUG5qMrwuKzYdYjouJxnZ2aTn5NDf2cnEs8/Gk59Pd20tO59+mp6GBttrcsYmA8Q5xlk4rAJAVppY0+rVA2Ktyu83xPmccwbsn+bxUHz44ewyJzTInjjR9jz3vf465Z/7XNjPbt2wATo6BhfnPXtQ/f30NjUNCBNklpbStXcvyy66iJZ16yhZuNAeRj8YBabQisdDgdk5DAdS9ZwertXJWzBzJgwyoYInP98Y2dreHmAXzLQ6v5/e5mYali9H+XyUfepTUbXX+u00mpPras95eIjWBRyHMTpwKvCqiOwSkcdF5FIRCV/BO4VJc3S+dO7aRefu3fh7euwLa6SYfMEFiMdD9qRJAReX5SnnTJ5M9qRJ+Ht76dqzh/ZPPhmQIxyOfrP2wsSzz2bmN75B1Ve+YthubLRF1DmCzRJnb4yeMxyYn86y62tvt28AFl379oHPF7IgD0DpUUfZ/zetWWPnUte+8QaNq1ax+/nnB+RB+30+PvrudyE7m7EnnxzSric/H09xMR27dhkxbaUGeM7e0lIaV6ygZd065n772xz5619Hfex5U6ciHg+Fc+cGDICxJ0t1dtyZ8f9oPGc4ENoI7hexbK+9+24+/M53yJs+nZKFC6OymTVuHBl5ecYgm4kThzw6VhMb0XYI1iml/qKUukYpVQmcBnyAMYx7p4isjmggBXHGDnvq62n92CgfEqp3fzjJLCtj/n33ceh//3dAeGXS5z9PTkUFlVdcYd9A2jZvpnnduqhvKBVf/CIARYcdZnyW1fFVV2fXoXAOSulpaEDS04f0mJtXVUXnrl122AWgcdWqgG06rJGBYcpkOsWlftkyeurqyJsxA19bG8uvuIIPb7+dj/7rvwL22f/66zStXk3WZZdFDMfkz5hB25YtdqdgsDgXL1hAem4us775TaZdd13EWUaCSfN6qfjiF6kwZ7m2yHRMluprb2fzr37Fjj//mezy8qhurmB0Cqbn5g7oF7Fs73v1VUqPOopPPflkwI0hEiJie8+lxx4b1T6a+Ilpmiozv/lojJS6TwHHYoQ7RnLaqmGh9q23AMJ6ccOJJaJOcisqOH3JEuBAx1LdsmW0b9nC5AijDp3M/+EPOfS+++wbU0Z+PunZ2ex7/XW7I9BZ4rR961ayy8uHFIPPrapC9fdT+9Zb5FZW0l1bGyDUMHgN49Jjj2Xut79N+/btdnhj8gUXsOGBB/CbGSbNQROP7n7uOcMTHERk8mfMYM8LL9D04YcAAwbBzLjxRmbceGN0BxuC+ffdN2BZem6uPYXapl/+km2PP07JUUdF3VkMMOWSSxhz3HEDvhOr47P0mGM45vHHY25v/vTpNH/4IWXWzDeahBNth+BDIrIKaMaY+fow4GXgJKXUBKXUpQlsY1JQ99ZbZOTlpUSRcU9+PtkTJ9qZF9F2/IhI4MShIpQsXEjjBx8ARvU2a94+pRSNK1ZE/WgcjNVB2b5lC7mVleROnWoPrLHo2LEDvF6ywgxbTsvIYNp11zHhP/7DXjbmxBPtAj5506cHpI/1NjdTu3Qp5eedN+gNpWDmTHxtbdQsWoS3pCTsDcJNnB2lTatWUXLUURz/178y5vjjo7Yx4ayzmHbddQOW582YwVGPPcYxMVQDdFIwezaIUBplnFoTP9G6PKXAY8B8U4wvUUo9okZ2oteEc/rSpZzyyiuAMdw2N0xxmGTEyt/1FBbaIxKHghXXzp06laL5823PuWP7dnobG4cszs7wUOHcueRNnWoXOLLo2LGDtLFjBxXSsSeeyMKHH2batdeSP2MGpUcfjaeoiLEnn0xKYfkpAAAgAElEQVRvY6OdQ92+dSvK56M0Cu8v30xdq3/nHYqPOGLYvvfM0lIjjLRhwwBvPR5EhPGnnx51KCOYKZdeyonPPUeOiwOwNJGJKqyhlIouR+ggwxq9lV1eTteePa6ODEw05eedh6+zk+k33BBx9NdgWF73mOOPJ7OsjL6mJvp7emgwvWlnp1wsOGOoVddey/YnnqBm0SL6e3psAbHEORomnHWWPcLykHvvpaehgdo33sDf24uvvR1Pfr6dt5wzaRJEGMUHB8QZoHSIN6Ch4C0poeGDD/B3dwfUmR5p0rOyBgwE0iSWmGLOo5VD7r2XD268MWwpz2Rk0nnnMem88+K2UzhvHtNvuIFJF1xA48qVgNFBWr9sGZljx8bVQXrUo4/iLSrCW1ho1LhQio4dOyiYNQvV30/n7t1kRDH4IpjMsjIyy8po+egjwKyNkZ9vl72MRpy9RUUc+etf09fSYs/vNxx4S0vxm6VIi5JInDXDjxbnKBj/6U9z1KOPRp3HejAhaWnMufNO4EBN387du6l9800mnn12XI/74884w/7fEvm2LVsomDWLrr178ff2RqxhPBh2alpjI7lTptBVXU1mWVnUqWATHbHs4cLKkMksKxt0yL3m4EbXc46S8WecEfNIuIMNa0Tirr/+FV97O+NOO8012wWzZuEtKTFqPnBgQtPBahhHwutITQNjOHb2IPVLRhprYl5rSizN6EWLsyZqciZNIj0nh5qXX0Y8nqizQKIhzetl0uc/z77XXw8YkRhtzDkUVhjKytjo3L170OJSI03xEUcAMOWyy0a4JZqRRouzJmokLY38mTNR/f0UH3ZYxOL9Q6Hi4otRPh+fPPoo+5cuJXfqVNIc1fZixesQZ9XfT9fevUkvzuWf/Sz/8dFH5A8y3F5z8KPFWRMTVnW0RIwUy58+nckXXsi2xx+nftkyxoeZnSNa0nNy7Op3jStXovr6Rnz4/WCICBk5B/1cFpoo0OKsiQmr2lm0RXNiZc7tt9seb7zibA3q6N67l+rnnyc9J4dxjk5IjSaZ0dkampgoP+88/H19Q85vHozMsjJOX7KE5nXrKDniCFi6NC57Y086iV3PPEOax8PEc87RXqkmZdDirIkJb1ER0669NqGfkZGXR5lLYZN599xD565deIqLmfOtb7liU6MZDrQ4aw5qMnJy+NRTT410MzSamNExZ41Go0lCtDhrNBpNEqLFWaPRaJIQLc4ajUaThGhx1mg0miQk5cRZRN4QkW7H6/cj3SaNRqNxm1RMpasCCpVSPSPdEI1Go0kUKeU5i0gW4NPCrNFoDnZSSpyBSsArIqtEpFFEnheR8SPdKI1Go3GbVAtrFAMfA7cA1cAvgT8BAyrkiMj1wPXm2x4RWZeA9pQB9Qmwm0jb2m5i7SbSdqrZTe4SgEmOWDMTJxMichdwX4hVf1RKXePYrgzYD+Qppboi2FuhlHJ9ls5E2U2kbW03sXYTaVvbHV0kZVhDKfVDpVRG8Av4m4g4az56AB/QOzIt1Wg0msSQlOIcgRLgERGZLSIFwAPAs0qp/hFul0aj0bhKSsWclVJPicgs4E1AgFeBr0ex62MJalKi7CbStrabWLuJtK3tjiKSMuas0Wg0o51UC2toNBrNqECLs0aj0SQhWpw1Go0mCdHirNFoNEmIFmeNRqNJQkadOIvILSJycdCyShHpNv+/TkSuGIZ2nCIiG120Zx9DiHV/E5EuEZnm0mcpERkvIicnaFi8RjPqGVXibA5cuQp4NsJmTwK3ikh2FPZ+LCJ+EZntVhsTxAXA4UqprdYCEUmP16hS6g2l1CHx2tFoNAMZVeIMXAf8XSnVb3rI+0WkAfiqtYFZjnQJ8JVIhkzxvgr4A3DzINueKyIbRaRVRJ4VkZyg9WeJyEci0iIiL4nIZHN5gHcd4n3IYwiy/Yn573oRuUZEPhCRx4FV5vprRGSniHSKyHIRmR+p3Q5PuVpELg5qz4DjMNv8voj8QkTqTHtHRzpfGo1m9InzF4DFIjId+Kn5fhowN2i7xcB5g9i6AkPEvwtcJiLFoTYSkUrgj8DlwESMIej/6Vg/BfgrRqW9ycAa4C+DHUgUxwCAUmq6+e8kYCtwJIYwLzSfJH4FfA4oAt42jydsux2e8iSMolPRHMdRwB5z+UsYw+41Gk0ERo04i0gahkisBy7GqMmxTCnVzMAKeGuB4wYx+Q3gYaVUNcYw8mvDbHcJ8IJSaqVSqh34GvC+Y/2lwItKqcVKqVbge8CCKOpUD3YM4ahVSj2klOrDKBh1FPARMB6jiFRplO0OJuRxmHbrgJ8qpboxxHlylG3VaEYto0acMUQnDWjB8Pp2OdbVBG3bCOSanuUAROQ0QCml3jYX/RL4epg4bgWwzXqjlNqglHrNsX4K8IljfZ/ZxrEhbDm/r8GOIRzNQe+/A+zEiLXPi6HdwUQ6jkZ1oE5ANylW00WjGQlGkzhbgiAYj+MVjnUVQdv6g/4GczPwkPVGKbUMo1j5+SG2bQDGWW9E5FNB2SB1GEJrrS/EKH6+y/x853fkFOzBjiEarsSYXWaqUuoUYFEM7Q4m0nFoNJoYGU3iXIfhtRUDfwO+YApOEXB30LYlQJf5OB+AiEwFTgL+HLTqV8CtIT73OeCLInKoiJQCPweyHOv/BlwkIseJSB5GOOBlM1RRDVSIyBjTK786aL9IxxANGUA6kGV2BN4EeEREBml3P4bwOgl5HAz01DUaTRSMGnFWSvkwYqaHKqU+Am7DSKnbBPwraPNDgOVhTH0dyAU2iUi19QJ+BBwvIgEzPyilVgN3YXilm4F3gd871q/B8MT/hHEDmYMhkiiltgE/Nvd5D1jh2G+wY4iGP2GEHmqB35j2ZgJfG6TdLwArgTHRHIdGo4mdUVUyVERuBwqVUvcOst2PgGql1EORttNoNJpEMdrEuQgj/e0o05MOtY0Hw8M+XinVOZzt02g0GotRE9YAMOO4j2KkiYXjcuARLcwajWYkGVHPWUTuAe4JWpwOfBlj4MOd5rKHlFLW4IgS4CngZGAHcIOZLaHRaDQHDSPqOSul7ldKZVkv4ERgI9CE0bl0IsaItstF5PPmbr/A6MAqB+4HnhUR7/C3XqPRaBJH0sScRSQDY2TejRie81al1P3mutswRrJdjZGaNcMcmYeIfATcoZT654g0XKPRaBJAMsWcbwR2KqXeBOYDqx3r1gPTMdK82i1hDlqn0WhSEBFJE5Hvicg5I92WZCIphtGadS9uA75oLirAyL+1aDOXBS93rgu2eT1wPUBWVtaRM6sqY2qTTw6cmgwzscO5DKCvtwePN3PA+ozQiSAhbWQo34BlTtvBbYjWbjjC2Y12/3D7BdsN3i4U0Xymr7eHLM+BUfGD7RPufIazG/w9h/p+Yv3seL+7UNs77Q7Wpkjfaah14X7HkdoSjuysA8e9cuXKeqXUmLAbY5Suzc6Z4JM0D329LRSXzqepYa1E2ieEjbcwnp7fNQdQPQhcA3QA9ymlHonFXrKQFOIMnItRkOcD830z4KynnIMRhw5e7lwXgFLqMeAxgJkzZqhXnn4ypgbVZRbZ/4/paR6wDKBmxzYmVlYNWG+9H8yutW3wMqft4DZEazcc4exGu3+4/YLtBm8Ximg+s3b7FuZNPHB9D7ZPuPMZyu7YqTMG3dfZ/mg/243vLngfp93B2hTpOw21LtzvOFzbI52Hw2YfOKcisjPshsb6jKzscX3pGdnkFUzF7/fRVL+GotJDVHPDukEFWkTOwiiZcIJj8VeAMzCqNJYAS0TkPXNQVUqRLGGNLwP/53i/EWOUnsVcjBKUO4BiM2MjeN2IEauwJetnaAaiz3tiEBFvZvbYvgxvPnkFUwFIS8uguOwwujpqKCyZG01n2AkYDqazzMIVwE+UUnvMUbR/wajgmHKMuDibjyEnAa87Fv8ZuElEykVkFkbNiqeVUh0YQ4e/JyLZInINkI8xtFmj0aQOF6enZ5GXPyVgYVpaBsWlh9HZtgsR+YaIrHC8rnduq5S6Vyl1LUaRLotw/VUpRzKENQ7BCFWstRYopf4pIk9i1Bn2AT9WSi01V9+CUb+hEcPDvlAp1T+sLdYclMTjJQ8WutAMwJtTMIXc4pkhV7a2bMHn6/iTUupXMdoN11+Vcoy4OJuPHjkhln8f+H6I5fuBM91sQ11mUcQ4XjQX7VC3SdXH5ljaHSoWn6jjjsbumJ5mahPy6e7h/E0O5Vyl6u/KBcL1V6UcIy7OmuiIt2MtVpvJyEgIzmACmWrnMBQZB9eDp9VftcV8P+J9UkNlxGPOmuRgOEUmWu82FYUv0W2O1364bJRUPNdh+DNwu4iUiMgxGLVy/m+QfZIS7TkHMRze2T82GjNKnTd7YkrYHW6SRSiSpR2JINqUwxTkt8ChGFOvNQO3KqW2RN4lOdHiHAZL6MBdsXPaTTaGIyY8HCTqu4uWZAoTRLphx5rDnKwopSod//djTEb8tRFrkEvosEaSkYzeWqJuKP/YWBO17Ugx30Scs+H+HpL5pq0ZGUa95zxcnoLzcxZt6OWcOe4W0vvHxhoWbegF4LzZA9fH+hgbvP0/NtakfLgEhl90Y/m8VDjHbl4v3eOPIG3a50Ku8+1/Fzr2uPZZqYj2nCNgid1I23ZLUJx2kslDT4TXmKjvLhZvPxlYtKGXRRt6XW9zqp2HVESLcxisi9vtizyRgm8xWi6awW4ww3Guk5nh+B2Mlt/aSKDF2ST4ET6R7FidHnH9UL3aweyC0VmVTF5zNERTGMj5PhlEOdpznIodcJrhQYvzQYIlSNEIdCw4b1Ru37SsR24nyXzjSGVPNBluWJrY0OIcAUvo3LxgLJs7VqenzCNhKl3Y1jl1+yaVSJydufESfHPbsTo9pc6F5gCjUpyjeZRMxA/aEo78jc+6bttJIsTUbZuJvDGlqhil0k1Qk3hGlThHG99zXiRuX+huC3NdZhH/2FgT0E430vTcjIUm61DsRMeF3ZogIVYsu4nMWEkGROQNEel2vH4/0m1yk1Gf5xyKHavTbRFtm31hVPtEc6EP5WJxQ9SGaiPex+1YPzfc9rHkaBvtTT3POdINNdrjd56/oQqo87MSfUMtneRn3ILQoym7Vyr6Bi8dWAUUKqV6XG5aUqDFOYih/KgT8SN2awjwcHqssZS4HIlH+HjORSJHSTqxBqGEykapjeM3YYl/NOcgGZ9yghGRLMB3sAozjLKwBkQWDmtdomLCsabQRXuRJGOsMlzbrTDMcJMKgjMUwlWVW7Sh1/69VYbxTuMhCX5zlYBXRFaJSKOIPC8i40e6UW4y4uIsIneISLWItIvIUhGZLQY/E5EWEakRkRsd208VkWUi0iUi74nIHDfbs2hDLx1Nm+1Xoqhc0J+QobpuXojWBR7NTcXp6Y9UrYvg2PtQ7Yb7rEQJUrx2h+vGY91Yh1GYr44wTVUx8DHGnIGVGLOf/Gm4GjYcjGhYw6y3+k3gOKAGuA94GKMma7gZdJ8E3gDOBm7AmMDxcLfatGN1esAdy/Ciw88PGe2F8Y+NNcPmkYd7NE4E8Q6YcetmYjz1dLpiKxTJKszhSNWMlSD+qJT6RagVSqnlwKet9yJyO7BfRLKVUl3D1cBEMtKecz+gOHCTSMeYGzDkDLoiUgEsAO5TSrUCDwKVIhKi1E9sJDIW5wylJMobT4TwOztGQzHU8zHcnuJg2x+sIY/hZjjPo4icLSJnOBZ5MOYbHfF4i1uMqDgrpVZgzKa9GegGbgLuIvwMuocBG6xOAKWUH2Namphn1w0Xe06Ud2uFS1KR/I3PpoQntmhDL/kbn7W/w1hSCq10v0gCk+hz4NYTj/WU5vwtuxVCizbUNQyUAI+YYdAC4AHg2YNpsueRDmucDpwPHIEx59dPMEIa4WbQDV7uXBds+3rgeoCxY8dE3aZYBDRZiqo7L0K3S5EmCrvNC84f2YbEgRueoi1yrvachMZtzzbe0reHTMjg6DD71+Wm0RphX6XUUyIyC3gTEOBV4OtDbkwSMtJhjc8Df1JKrVZKtQPfBhaa60LNoBs8s65zXQBKqceUUguVUgsLCwqH3EC3vN1gT8MtEbUyHxLhledvfDas3Xgu9KF6XSPl2To7GlMl9mx1aCd6NOpIopS6Vyk1Vik1Ril1uVIqJWfZDsdI5zl3EjhiwIcRh/6Q0DPobgLmiEiaUsovImnALGDtcDXYStIf09PM4DnyBweJEH7LZmmC7KYCw5VS6ObTVEA/RAo/9aQCI+05vwRcISJHiEg28D3gn8DjhJhBVyn1CUZ8+pvm9vcC65RSrkyZkMiLZTAPJh5P1ClIbsUWk2WI7lBxNwvEYDi8UN05qbEY6Q7Bt4DvAM8A+4DZwDUYM+h+iDGD7rMEzqB7FXARRlbH6cDVbrUnlLDlFs8csGwoF1C0w8BjwRKOUG2Ml0RPl5RbPDMh7U6UXTjwHbp1boLtpIIwVy7op232hbTNvpBz5niHNW1ztDHSYQ2UUn8A/hBiVcgZdJVSm4Fj3G6HU+icnqh1Qcb746tc0M+u5QdsOi9MN37YucUzKXXZW2ybfaHtLRq23YnpVi7oZwfGeb1qTrprYle5oJ+GjUa73bR73uyJLFqwA3C/w9Xy8N20e97siTxp3qCs35oWz9RjxMU52WibfSFpy38IOAUvPlGyQgSW8Dsfud24aKwbyFVz3O8Qc9p2S+zOmeNlEdZktJNdsWnZfWj2heboS/fsWrYXbeh1/YnCEuXzZk8EF34LzhsrGOLv5hyUob47LfyJIS5xFpF5BPbpZGJkX6TkGPd/bKwxvS/D6yi99PwDj25x/gAt4TD+d1dED4h9ouwG2nbjYkxEyp/l4SYqnTCW4kHRMKanOWFhgcoF/eZvd7Irom9htNdwNrQoJ5Yhi7OI3A98FejByDNUwBjgp+40bWQ4Z46XRZcavdCPnV/pqm1L7Nz26izc9Or+sbEmQOTcsG15dcEhHSv7xQ2sm2ksZUajwW0RDT7mxmWLKDnhHFdsw4HfrtsC6ryhxCv6h40rDPu7WpTrZXtc1lOfeDoEvwIcBZwL/FspNRG4G2OkX9IT7kd73uyJPHZ+JY+dX+nKDztYIBLh1Z0zx8s5c7wB7XWzPGaiOgcT4XlZwty4bJGrdq0c60TZdRtne0O1OZ4bV6LOhSaQeMQ5H9iNkdp2mLnsEUJ04qUK1kAAt398ll2nV+f2RZkIAT1v9sSEdSY5hSNe+84ypM7vLVlnYAmmcdki6t96zXWbibDrtK1JLPGI8zIMMc4APCLyaeA0jPBGyuH0FhuXLWLzj26l/q3XXL/AE+lxJMKu2+21znOihAOg/q3XEiZKiRDR+rdeY9ub9a5/f5bdRJCocxwLInKWiGwRkQ4ReUZE8hP4WQUicqSIJGZusRDEI85XAg1AEfCfGOlwvyHJx7dHU9C+/q3X+N0rNfzuFfcHYiRC6CB80fV4scQjER7otjfrEyJ2iRSkRJCo9m57s57FHb2uttt5MxlJRKQYo1rlHcAkjH6v7yfos84H3jU/6wMRuTwRnxPMkMVZKVWvlLpTKbVDKfVPpdQkpdQEpVTKDua36idse7OenX2t7OyLVHolNrtWGlYqeHWLNvQmvKB6/VuvsbjD/c+w7CZCPLa9WZ8Qu4k8D4nAEv0RFujPAauUUn83a2r8GLgkQZ/1/9s78zi5qirxf897tXRVd3V3upN0CAkkkZCEHQEBBReEYUZxH5cR1BEUGXXUn4OOGzqDyzjuuw6MGyqi4IoLI8oWtrBDgCQQyL73vnct7/z+uK86L5Wq7upauqrT9/v5vE93veW8+269d+q+c8/yBeCFqvom4CXAV6p0ngOYsnIWkWNE5F4R6ReRW0VkeTUaNt0EldEPeyt30+WObms94pgqlXzlDvZF9gew0v2RlVtpqmEy2hdtHf9BrfQIFxgfYFS6j28ZSo73cZVtzxNVQslNK/w40CEiTeWeVESuFpHTAqu2AS8VkSgmwf+2cs9RDKWMnK/CpOk7E7gP+N+KtqiKlPJqXsmbr/vOP1ZlxJEdkVeD7ChpplCttgZHopVWSNX4MZmOQUC5fd2UHj5gcjy4hL00mEoopwaWqwKHH5A+2M/xniZP+uASeDdwuoh8R0SOwRT/eCXwEHA+Jn1E1SlFOZ8CfFxVnwD+E1OZZEaRT0lXOsAgS7VzVGSZ6it3qQqmnP4J9kU1lOhM8MwIkvsmNffs8ybYuz4IDgLOaaxp7vAD0geLSATjnFB22lBVTanqt4DLMa7CH8bovGNV9U2qOi0u2KUEobiqmgJQ1WEROWRCwJecnDlIaVUiMCAbrdV5nbmxl71wbtkyIX9gRPedf2RekW0uFPgQ/KEKKtFqKL9K9MV4YESVlPO8sd4DnvhK3BO5fVkpRZfvO8rXx+V+l0eGKzFALYv1mNFsllXA05WoHygiLsbhAUwpvCbg//mZML+qqrvLPUcxHDKKtVQOjFrbCTvMjVfJV82sf3MP1RltlPOaHTy2khFqQdlBuUG/6Uo/4NVyJYTqmAmy7a2moqu2Eq30PTMFfgt8UUTOxtibPwdcWyHZP8JEPgOco6pvBf5DROZj0hUnVfWTFTpXQUoaOYvIn/z/BYgEPgOgqi8ru2U14FUrF8IOo0B/2FuZGzs4QqnEA17pMN98srMj8u6//awsWblkQ6qr5o/t/39kuLlibyew/1rOaYxUVG4u1fhez2mMVMVcUu2+mAxV7RKRtwHXYNJGXA/8V4XEvwxYgNFvuwLn3At8xC80XXVKUc4X53y+jv2BJ8IMDULJ5chwc8VGudWMsgN4yp+sKra9xSrHrH1xqv2QKz/4gxJUopWm1kERpVJpRVfNEfmzd3TW2tY8jqreCNxYBdFrMHnmwTg95J53axXOeRBTVs6q+mMAETkTuBI4MiAnq5yvqVQDa8GyF86FOzor9sDkKuZSRzLZh66ao2fY394Hx93Siu+HYhR/UOmX0xeF+qDSyqOakYzVpFpKH8wzMhMmMEvkQkxgnQBvrlUjyrE5/xQTofMpTN2/khCRd2NmQ+cAv8BEGKYwhvhLgCHgSlX9nr//UuAnGK+Rx4B/VtV1pV/GgWQfmErffNkbu5SHZTKFN9N8p8ulUH9U22xULYVUabm5Sr+GduEJGX7mcbrvzK3XbEj3dk1za/bjB7VU3aY8GeWEb3cAn1bVu1V1TXApVoCIPB/4BPByYBlwNPDvGNPJuZjCrucDnxGRrMveNcDt/vlvwPxAVITgCLfchyVXgVRrlFTNIICgp0Yx7S+mLeWGVwfPUeh/KO37C76ZHApU88fEUn3KUc4/pvw8Gq8GrlXVJ1S1C/g68AaM0/cXVHWHqq7FKOA3+ob4kzEj6X7M6HqJiKwssx2AeSjnnn0ec88+j7azXl7yiKOWD3elfgSm4xqm+pAX06ZqTFRVM/dFVoEWutdKSe0ZlFtJgvfWRG22VIYpmzVEZB3GruwCy0XkE5jirOMTgap6TJHiIhizxbh4YCmwkANDM5/AjKRPBNb50UCoqici64GjMH6PBQne5JMlYq+GS1k1k/FkR7iVfiC3pPrHJ5UqKXcqk5fF0jnFSdFiCZqjqmHmqjTV8NMPYkfN00cpNufLKnj+vwJfE5GrgUHgfRilf0BoJjDgr8tdH9x2AH4c/qUA8+fPq2CTSyN7U091xDHRQxx08ao0natvHlfMxT6QbWe9fFKl07n65vH2VmL0FbQRZ0fN1ZyoqqSyK6at9Rj1eAhPBNYVpXhr3F6pk6vqH3xb8l1AEuNYvhSIEwjN9D/3kBOymbMtV/ZVmDwgHL18edHufTPlVW26TCfVcpsqZQRWSPnnWzfV73Gi/qz2aLEao9tqK9CZ8pzMZMqxOZeNiCwDfqOqh6vqUmAtcA/GRHFcYNdjgEeBDcAqEXH84x1gBcZro+6pxgOTNZdMZrsslqySyvqzVkpukEoqj2C7KiU3KDNrZ62GjXUmKlA7ap4+aqqcMe5w14tIh4isAD4CXA38DLhcRNpE5HSM3+H1qroRUxbrg36c+xXA46q6oxKNqeZoIHtTV+MclR7ZlTMqn8r1Vau/Z9KorhYKtNzCt/XevyJyu4iMBpYf1LpNpVDr3Bq/Al4EPIlJ9/dZVf2biNwGHA9swZgyPqCqT/vHvBXj5/xp4H72Jygpi0rb9trOevlBFZYr8ardufrmvA9fuSO7fHIrNWrOPb4cmRPZtfPJzVVEpXzPM9EzYbL2TrXiedaTaaL+nWrfDm5cTyf5j0n2lhVHugxoyToOzFRqqpxV1cO44703Z30GUyj2oGKxqvoUcHq125a96eppQibXTW46wpXzPeSl9k2+REizmVr0Q1CZTlVBzwREpAFIz3TFDLU3a0wLKnLA53Jf6yaiUCBDuQ9iIUVcidFtIaVf6PW4VKU8kcxSycouR26hkfihEowSJFhrstD3OMOray/BJGN7SES6ReQ3IrKg1o0qhVqbNQ4pcm/ockYlmcH9HoOVHDEXK3cyO/ZED3ah9YVMMlNhIqUx0Q9Uqd9FNUwa1VZ8k7W3lB/XztU3c/RHv1ZOs0rhbSISNFtelVMNJR9zMGbS9wPbgW9gzKAzbibTKuc8lDKyrtboK6gwg4Es5U4CTqTgny0x6VM1Q9Yn6sdylP5ErnmV+DGZTiqh9Cey5+cjG9BVJfPIj1X16/k2iMjHMInX8h1zXmC/y4E9IhKrRCL+6cQq5ypSqo21+84/wvwVB6zLjTAsJvS3GLn5ZEN5I8Z6St1Za5tqMEimmoUNKkEtSpeViqp+DpNg/wBE5GUicq6q/tVfFcY4G8ycQpg+VjlT/s1VrdfUrJILKs9sqHalgkPyKeZyRuW5ijl3tF+KUiqmf6cqNzPYR/edB6XqLVtukJmSSKnYvpghtGGqllwA7AT+G7jBdzKYUVjlXEUq/VqcVcwT5Vgu5hUzn9IPnmNZCfxw9PAAACAASURBVG0L2rKz5MovpS/yyQ0yUR9P5XV7ppkwChH8MalHj6MgnU8P8uzO/DlnRnpLG+iq6k/9mIk7MLl6/kL5Cdpqwqzw1oDq3aCFfJFLfbXPyksPmBqG+RToRMmIKnWdpYwYC9nHa0Wxk5b5vqtylfV0JTaqprys10Y9mamKQVWvUNX5qjpPVS/08zPPOGbNyDnfJN9k2emmQqEbuJzX4nwK7pzGiBnd+qaHKdmb2a/0C1GtmnOVYDIXv0rIr/a1V9tjpVrUo438UGfWjJwLMdlIc1+0tap+0VOhmkmIyrEz5yqLfF4lpdqb85FV0tm/lfTxzq4rZ+Q/mSlmpii6ct4ALeUz65RzMa/9QUf9icg+hJW+gafrgcinkEtV0vnMMOW6+03mPldpmeXInQ4mUvqF2j0VM1dWGecq5Xp9kzrUmTVmjSzFjoJLtd0GfYQrfVOPK7s7OisWHBFs67N3mIpf5cgtpPDL7YtCyqccuRMp4kqO9IPnq8TkZSFy21uvE4GW4pgVI2fRotM5l81ko8VSTCS5ZodScyEXIqswylGiocRB9Q7GS36VSrDN1UgxOhHTOVrM3hPlmM9y21tJc9xMMcMcaswK5TzdFEoPWuxDGFSWQUUcVHaVfmCqnat4utKDZpVSMcqpFq/rk2XNK0WpVsoUU2x/FNu/lvKYFWaN3MRH+cj1CS0mFaLb1AJ788srNqdusa+ek5kxik2NGUo0F2xbMYVGi2lvUP5UCpeW+xqeT+Zk5oK5Z593kH21c/XNE2bjy1KN9ga3VcosUU5az3wj8kqxIZlGCwTu9WSm7223XrEj50mopt0un+xiRpiVyHA3lZn4yR7ISo2K853HbWqpiOwgE7W3GpO7lfJ6yNcX5XqsWJNF/TJrlXM+xVgJRVypV+V8NtxCFDuayfcgZh/uYA6IiWRPdK7stQcVUT7viEqNvoJ9PVWZ1VD60yE7SDEKv+g3QEvdMa3KWURWi8gZ/v8iIl8RkT4R2SkilwX2Wyoid4rIiIisEZFVgW1vEZHtItIvIt8VkZqbZiptu8xXOSQfE9n9JtqWKy/3Ia+EPTHoizyV0Vkp553smHKupdQ+LlVm7n7Vkl0qQQVf794gQX3jfy6oc+qRaVFsInI+8BrgrMDqi4FzMcVb24BbRWSNqj4MXAPcDrwMeBfwc+AkETkak5/15cBG4NeYuPmyE81O56i5mHO5TS1VjYQrhkop6GpTyUjPyc4TZLJz5oazV7LWYy39sWeAUs6nb2BinVN3TNfI+SzMD8FgYN1FwBdUdYeqrsUo4DeKyBHAycCVqtoPfBlYIiIrgX8CfqWqd6vqXuCrwJum0pCJKkCUQzGKtBrnLWSeKeZclc5/MVFCpUrJLkV+uZNgUz0+N1hkOvOMFGprvSvUCpNP30ABnTPdjSsaVZ22BdgMnOH/3wUcG9h2GXAD8Arg/pzj7gUuwBSEfU9g/Uqgc7LzHn300VoNbr311qrIraZsK7e6cqspe6bJBR7QwrrgH5eGG/XNiSP1wuYlByyva1qszU5IgXih44tZgvpGJ9A55Zyjmkst7bXNQHCIMeCvy10/0bbs+oMQkUuBSwE6Ojoq02KLxVIpfpXUDLcM7+Y54Tjiu7uOqce6sQGWhOM8nhy4yH+OsxRTpmoiitYf9UAtvTV6gVjgcxzoybN+om3Z9Qehqlep6qmqempLi52NtljqCVXVHelRJyzC06khVJUxL8OTYwMsDcdZO9YvwWfYX8YVs4h8TETSeZbvT3DaovVHPVBL5bweOC7w+RjgUWADsEpEHAD/7wrgsQmOsVgsMwxV1a2pEWkQl/XJQZ5MDvKcSCOPjfVPGjWmqp9T1VCe5ZIJDptR+qOWZo2fAZeLyO3AcuBC4AWqulFEngI+KCLfBj4MPK6qO0TkOswM6/9gfgWvAL412YmeeuqpQRHZUIVrmAtUa7anWrKt3OrKrabsmSb34IKVediSGhYRuQh44tHRvmp6TuTVOVU8X3lMp4GbAycEXeDbGLvPNuDNgf2OBtYAI5hyM0cGtr0T2IVRzl8ApIjzFpyYKPN6qiJ3JrbZyp25bZ5pcqdw/nF9438uqHPqcZnWkbOqLgn8nwHe4y+5+z0FnF5AxtXA1VVqosViOUQI6hv/c0GdU4/M2vBti8ViqWdmi3Iux/2mFnKrKdvKra7casq2cmcR4ttiLBaLxVJHzJaRs8ViscworHK2WCyWOsQqZ4vFYqlDrHK2WCyWOsQqZ4vFYqlDrHK2WCyWOmTWKWcReb+IFEywLSLv9OP8K3lO18+itdEvvfW0iFwhIpGc/VaLyI5s0qfAeg1k3cqIyLacsl7B7cGlfvMGWCyWCZlVyllEmoG3YpL6F+Ia4AMikpu2NJ+8z4uI51dpmYhvA5cA7wDmYMps/R2mkktW1pGY4gEKvDCPjEWqGsIkq3oT8CUROTZ3e85y12TXYLFY6pNZpZwxSZN+q6oZEXmpiDwmIoMi8ksRaQNQ1THgVky9sYL4yvutwA+B902w3wpM0v83q+ptqjrq5w55G3CciIT9XS8Cfukv/1RInhruwqQ/XFVoP4vFMrOZbcr5dcAtIrIIuBZTpmYRJvvdlwP73QK8ahJZF2GU+KeAN4vInAL7vRTYrqprgitV9VlVfZGqpgLyrgGuA/4xoLQPQEQcETkLk7mvbnPRWiyW8pg1ytm3454GPIHJ43qDmkKxvRgF++rA7o8Bz59E5L8C31HV7cBfMCaLfMwBdk7StlMBR1XXqOp9mFI6f5ez22YRGcX8kPwE+H+q+nTu9sBiFbfFMoOZNcoZaMdcbx9wJHBpVpFhTAQJEWnw9+0GGn0b9UGIyDkYC0PWpvsN4L0i4ubZvQuTzDyfnDf753gLpsJ4p4h0AodzsGljiao2qGpUVZeqam45nuz27HLiBH1hsVjqnNmknLO5qwXYC3wlq8iAFuB0VR319/Fy/ubyPswkHwCqeiemksRr8ux7O7BMRI4PrhSR04H/wYyE34QZKZ/kL+cDrypmUtJisRyazCblvA8YxZgZfgW8SURWiUgjxt780cC+bcCIqg7mChGRpRhvip/lbPom8IHc/VV1HfBT4DoROUNEYr5i/inwn8B5QJ+q3q6q2/3lNsyI+xVlXbHFYpmx1LKG4LSiqmkRuQ84XlVvE5GPAH8AFmAmAIOFIY8D7ikg6r1AI7AhW87dxwUWiMipqvpAzjGXAB/C2IoXA1uAr6vqt0TkWuDXec5zI8a08csiL3F7TnsAXquqvy/yeIvFUkfMqnzOInI50KKqV0yy339hPCy+PdF+FovFUi1mm3Juxbi/naaq6QL7hIH7MJXAh6ezfRaLxZKlpjZnEflEjvvXqIikROQiEflw1ntBRP4zcEybiPxJRIZE5Anf57cofLe5/8FMwBXiQuB7VjFbLPWNiLxNRDb7gWS3i8gKMXxFRPpEZGdOmoOlInKnn0JhjYjUdRBXXY2cReQ04AfARzBK9DxgGPgbcLmq/lZEfgJkMJNv/4AJgT5CVZO1abXFYpluRGQ58DDweuA2jD54A/At4P0Y3dCGeVM+T1UfFpHVwB3AfwPvAi5U1ZOmv/XFUTfKWURCmOCPy4C3A8+o6mf8bf+GCSB5G9ALLPeDPxCRtcCHVPWmmjTcYrFMOyLyLuACVX2F/zkMjGFcV7+vqj/1138TGAK+AzwJtKvqmB+U1g2coarra3ENk1FPrnSXAVtU9Q7gBMyvYpYngKMwIcuDWcWcs81iscwefouJ0s1yCuYtu5DuOBFY5+fOQVU9TPBZ3eqOunCl83/F/g3zWgLQjInkyzLgr8tdH9yWK/NSTMIhYrHYKcccc0yFWw1DQ0M0NjZWXG41ZVu51ZVbTdkzTe6DDz7YqarzCm1PyHzNUNgaOULfE5jYhCxXqepVAKq6J7tSRF4HfA9jDv0qZeqOeqEulDNwAbBXVe/3P/cCwei4ONCTZ31w2wH4X+JVACtWrNAHHsh1PS6f2267jRe/+MUVl1tN2VZudeVWU/ZMkysiWybaniHFCvclBbc/kvntqKqeOoH8ucD3MaPmS1T19yLyKcrUHfVCvZg13g5cH/i8HhMIkuUYTAa2zcCcbHrPnG0Wi2UGISKEw9GCyyTHNgJ3YiJpVwaCrQrpjg3AqmwhC//vCsw8V11Sc+UsJqzthRiPjCw/A94tIof7+ZA/AFyrqkPA74H/8MOgLwESwJpcuRaLpb4RcQiFogWXSbgQ2KWqF+ekWfgZcLnvcnu6v9/1qroReAr4oJ+z5grgcVXdUYVLqwj1YNY4DvO6Mf4Lpqo3icg1wFogDXzezzcBxk3mJ5iZ1vXAP6pqZlpbbLFYyiY7ci6RE4AXiUhuMNlzgOMxKRJ6gQ8EUuu+FaM7Pg3cj8kGWbfUXDmr6lqM7Sd3/acxnZi7fg8H5zq2WCwzDBGHSOSgR78oVPW9mDw3+XiPv+Qe8xRwekknrAE1V871yvtetz9d8jd+dUnefTIZj+07enFck3AoEjbpnF0HVCES2W81CjtpRtMuD967g/tXb+D0F5myg897/iJSaQ8vo4gjiEAmraQzHr19Q6inOK6gCiLgiOA4QtY/3XHMue+8ZTM7t3WzeKlJHf3Sv18BwMjIKINDKWINLqmUh6oyPDwCgOcpIkZWOqOk04ojkPGUcNihty/J9d+/i6ZEjHNfY3z1lz+nvSL9e/fqTcQTZtR00kkLizpmZMRM3MdiDQW3Aax9bC/rHzHelm9912Q1E2rPjp197N09SDwRJdZg7qEjFhcqrFOYkZFR/zs1nzdt6ieTMVlvTzjhsLLaODo6Mv5/JgM7dg3RtcdYE858wZKSZJY5cj7kscrZYrHUhKzN2ZIfq5wtFktNsCPnibHK2WKx1AQRIRyJ1LoZdYtVzhaLpSaII4RjVgUVwvaMxWKpCUY5h2vdjLrFKmeLxVIT7Mh5YmzPWCyWmuA4QrTJjpwLYZWzxWKpCdasMTFWOVsslppgzRoTY3vGYrHUBHGEiFXOBal5VjqLxTI7ERHCDaGCyxTkrBaRM/z/D5kCr7PmZ2v7jl7a2w7OySBiclSIl2Ik5XLXLZv4/Nu/xskvPXN8nx999y4aYhESLTEaYmGaWhqIROu76+65azOOI5xwUkdF5a65ZwuRaAg35BAKu7ghB8cRkskMm7f24Mj+fB+qoKo4juC4giNCJqN0d48cIPPXP3+YeQuaiTSECIVdYo0RolEX8eXu2NmH6wotzSZgYdv2XtJ+zoiQa87fNid/pNndqzcRiYYQR1BPcUMO0ViYZDLD1m09uO7+8Uk2L4XjCiHXwfOUTEbZt3eIG6+9l19/5SdkMikWLlzFpV96M/MXttDSHiceD+OGHFw/N0oqlWHn7j4c8XOleIp6JheL4wjhsEM6rax/bDdffucPuHrNxw5q931rthIOu0RjYWLxECHXIZU2ctUz/ep55t71/9AxLzeX/H4+dtnPed5LjmHOvEYam6JE42Fc18ENOYyNZdi0pRsRIeSa78rLqB/B5xByhXjcLSj7nrs209xqzn3sscXfb+IIkWjpNmcROR94DXBWYPXFwLmYPM5twK0iskZVHwauwdQYfBmmwOvPgbot8FrfGqaG3Pbr39DU1M7rLn9jwX2SyQz9/UmjqFwhHfbGFZHrCOmMmqRCaWXv7kF+/Pm/cN+fbyMcjrLxnm284l1nsWF9t3+ThgiFHUK+LPWU4ZE0IddBMvsTFAHj/2cySv9Akht/dh+rr7kfEYeFqxbwsovPHE8q9MTafcQaI7ghxyi7lMeefSNGruxXoJ7/N+Qrq927h7jp+ge49QerGR7u56kHt3HuG05l7oJERfr3o6/6L4aGelm+8nRe/5Fzijqmrz9JJpO/IHFn1yjbt/Ry9Uf/wAOrTa3fz93wXxVpa7X5h8MvHP//jf/+Dk47awWt86ZeNmpfp/nR271zgHec8e4Dtl3wrgvzHVI0A4NpkkmP9Y/t5iuX/oht29bS2DiHd/73paw6aXFJMkUgEilLBZ2F0WHBfM4XAV/w8zTvEJGfA28UkS7gZOBcv8Drl4GPi8jKei3wapWzxWKpCY7j0BArPXxbVa8AEJFzA6vzFXg9lzwFXkUkW+DVKmeLxWLJIiKEJzZrzBWRYPHP8QKvE1B2ceh6wSpni8VSE4owa3ROVOC1AGUXh64Xau6tISIfEpHtIjIoIreJyMpDacbVYrHkJzshWGgpkaoWeBWR/xORrb6HyB3+slpE7ii1wYWo6cjZL8D4QeD5wE7gSuA7mCKNh8SMq8ViyY8jUg2vp2yB19uB5ZgCry9Q1Y0iki3w+m3gw5RW4PUfMAr93Kz9ulrU2qyRATTQDhdTuPWQmXG1WCz5EZFyvTXycTVVLPDqTyS+odqKGWqsnFX1ARH5PaZkOcAIZhR8D2XOuIrIpcClAB0dlfX1tVgs5SMihMKF/aeLRVWXBP7PUOUCr6r6ZLkyiqGmNmcReSnGify5QAL4Eea1pOwZV1W9SlVPVdVTW1paKt94i8VSFuJApCFUcJnt1HpC8NXAT1T1YVUdBD4CZGdnD4kZV4vFkh8TgegWXGYCIvLJasmutXIezvmcxtihH6GKM64Wi6X2iAihiFtwmSGcO/kupVFr5fwH4CIRea6IxID/AG4Cvo+ZcW3zPTouBK5X1Y0Y+/QH/f2voLQZV4vFUmNEmPEj52pS6wnB1SLyUeCXwDyMi9wlQCcVnnGd2x7FOIYEzy/+ogyPOPzphkcZGRrjP3/5YebMbeRtp7yLu3/2MCvOWUb7YS0kWuM0tzSSHEsTT0TxPGWwfxRHTKIfN+SM57AIh10iUZfRkTT/d8ODrL9zC4tOnM9lX3oX+3b3snHNNu7+y+O86IITiSeiRKIhszSYv57C2FiGpHi4juCG/HM4+/NqPHzPVn733dU0zYvzgotOoWtnP0/+dT2/+UaSVS9eSvv8FpoSMdrmN9EQM8l5MmmPgb6x8aRFImYE44hpv6py581P8eAtG2hsa+C5r3wuG2/fyq2//DXbHtrNya9Zydz5LTQ2x2hoiNCYiBKNhUmlMnTuHkQcGU+GBIz3RbTBxcsod928gQf+so73fO1Snn5yO2t+8RDXf/4WVp63hPkLWmlpa2JOexOxxgixxgiZtEdX5/B4ewHUU8QRHEdwHWVgIMWN167h2ft3cMbrjuOCf3kBz6zfwc8/ezNHvegIFhw+h47D22htb6QhFkYcIeMpfX1juH7iJJPkyCM5miYccWlqjpJOe9x98wbu+tWjnP6q47jmke+STmZ4dM1m1j26hX27Wli28jCa58SIJ6KE/TZmvzvX74OMpyaRkCM4Cp6X4bY/rWPLM7v5/B8/wIplEcRLsnGHy/pHdjA6kmJ4YIxEaww35BAJu4RCgmBytmRQNMO47CyO65BMefzt9w/zmV9+jmNPORxxhCcf3MGGx7exd3cPoyNJ2ucnaJ4TI9YYQT1FUVIpk0gqJYLrmoRNriOEQoKn5rxrbn+WO37zCG+58rU878UfonvvEGtu28C6R7bRNtdM+0wl8RH+yHmGI9USXHOru6r+EPhhnk1VnXG1WCy1JTtynuH8qVqCy1LOInIs0B5YFcVM8C0oq1UWi+WQR5yZP3JW1aqlPixZOYvIZ4B/AcYwQ3vFmCa+WJmmWSyWQxkzcq71tFf9Uk7PXAycBlwA/FVVFwIfB0Yr0TCLxXJoI5jk/oWW2U45Zo0EsA3Yi4ncA/ge8DQmR4bFYrEURIQDKtHMVERkE7neBoY00AX8Fficqo7k2acg5fTMnRhlHALCInIecE6BRlosFsuBCIRCUnCZ9HCR80XkaREZEpFfikhlyvRMnf8FnsFYE14GfADYCvwG+CRwBvDdqQotZ+T8Fkxmp1bg/2E8LlzgvWXItFgsswRBSh45i8gcTEbKizEuuFdh3Gs/ULEGFs+7gWNVtdf/vF5E7sbEYPy7iKzFBND981SElqycVbUTo5wBNgOLSpVlsVhmH+KPnEvklcBDqvpbI0s+D/yR2ijnNLAYE5ORpY39PtBhIDlVoVNWziJyDPADTEj1g8ClgQARi8ViKQoRypn4y60V+DjQISJNfp6e6eSjwC0i8iuMOWMe8EbgqyKyCJNlc8pmjVLeKa4C7gDOBO7D2FssFotlihizRqEFv4ZgYLk0cPABGSr9NMJpalATUFWvxRQM2YoZQXvAO1X185jK4Beq6pQTJInq1ObvRGQEaFbVlIjEgd2qWrdFEgFWrFihjz76SMHt6bSycWMvxx+2G9l6M8Mbb2ffU/dxxLv+zFjzcXieCW9NZxTPU1QhlfJY9+SDLFl2Imk/9DUbXiwC6ZRHOpXhkXs2cfbfr6RjXoxo/+M43U+gLUsZbjmNzu4xwiEHCfxEOn747GOP3s9zn/u8/ev9EYYqJJMet/15A8tWdrDoyBba4qOEBp4iE51LV3ohe/cMEQq7hMIOItnjzPe86ZlHOXrlyYiYkFzHEcQxoboiwthYhv6+MZYtayHS8xCSGSbdcizbOiNs39zjh6WHxsOnI9EQ4ajL5mcf5aijTx6//ux5HQFPYWggyS03Psp5rzmZpYc7hB/6b6RlCamlr2FHT3Q8hFzEyA2FhHDI4eGH7zugH1RNyLIqpDMePV2j3HLjo7z8TaeyuKWH0JY/ofueRNpXsG/xJXieGn/akEM47OC6gkuKu++9n+efcdq4XE8iZDLeuPzhkTQPrN7C8c9bxKKmvbgbf03vo78jNTpI+1Gn4q56PV6sA3UbQDOIlxqXtfrxfZx1wkIQF3XC4DSgbhR1ImgozgNrdvG8k2OEn72B3bd8nbWP7mBoxGPV8kaWn/1qnPknQCQBjh+g4UbBjXD7syFeeEwzGmrCCydQN46GGsEJkyFMd88Yt/15Pa94w/HI717JlrUPkUp5LF6+jPbT3oS0r0AjLQRvOJUwq5/s5QXPXY46URD/nJpB1AMyZGILWXP3Dk5//uFEN/yQ3vt/yjNrHyceD7H8BS/DPexkJGLm4uT4/fpTRB6cqAbgKc89We9efUvB57Khqa3g8SLyRSCpqh/3P0cwMRfxqXpFlIuI/KuqfjNn3THA11X1vFLlljJydlU1BaCqw9RBCLjFYpmBqIdkRgsuk5BbK3AV8PR0K2afy0TkSjATlSLyTeAB9hcRKQmrWC0WS41QJFNytaffAl8UkbMx9ubPAddWqmVT5GzgDyJyCibvz73AKaq6rhyhpShnV0SyyT4EiAQ+A6CqLyunURaLZRagHnilBRSrapeIvA1T8HkecD1QtTwXk7Sl26/qdD1mtPwqv1xWWZSinC/O+Xwd+wNPBBuEYrFYisIrxnxREFW9Ebixcu2ZGiKyjgP1XRh4DvCsiAwBqOoxpcqfsnJW1R/7DTsTE6Z9ZEBOVjlfU2qDLBbL7EC0LLNGPXBZNYWXY3P+KSZC51OY0lIWi8UyBTykRLNGPaCqt1dTfjm5NTqAT6vq3aq6JrhMRYiIvFtENotIn4hcJSIRMXzFX7dTRC4L7L9URO4UkRERWSMiq8q4BovFUivUQ9LDBZfZTjnK+ceUmUdDRJ4PfAJ4ObAMOBr4d4xd+1xMFOL5wGdE5GT/sGswsfQdwA2Y0bvFYplpqAep4cLLLKeU8O2sEdwFlovIJ4DdBAzjUzCCvxq4VlWf8GV/HWPH7gS+4Bdu3SEiPwfeKCJdwMnAuao6JiJfBj4uIitVdf1Ur8VisdQQ9WAGj5BF5IgCm0ZVdW+58kuxOVfSCB4BhgKfBVgKLOTAuPknMCPpE4F1fqgmquqJyHrgKIxT+n5BJtTzUoCOjg5UBZGDC7wCJJMZjnlOCHnyJkY238OeDfexafMQ8V/+M23LTsaNt0N8romCCsdNFFU0wTNEWR55CI1FUQmj4YQfERYmGVnIM8/08pKXH8PC0NM42zaiW++gd8ujNLTMJ774FI5sXQKxuWgojjoN4ITN8V4GV0dpHvPdJLORZuKSblpKT+8YJ5x+JMsOSxPeezOZB39P57MPE020Mf+os+iYcxSEE2hDG+pE0XBiXM5ON8ni2FY/+gtUHHM94pKJL2LHkMfKOc8g9/+W7idvIT06SOKw5SxdcibL5ndAKALROWi4EcQxEzrpYXYqLNW7wY34bXVQMX2RThzFphGHV114GovcJ+DRm9j4l+8Ta2xgzpI/cGTHctOvDa2IG90fGQe4yQW07viFOW8oDuE46jagbpxM4xF07oVXvPk0juR+9P4b2PHwTezd3UdLS5ilL94GDa3gRowwJ4SIC24EGZtPZPOvzbkkFIjGi+A1HkF/ailnvHgp84bvxLv/erbdfyMbNg4yMurRunYzh9/7BxoaG2lsX0QoliAUieFGY4jjgncezpN/M1F+4RjSMAfCMZAQ2riA0084AvehL7H3sZtY++gOHtgMyYzDjr5htu/4OR3zf0NzIkS4oYlwYyvRRBtuJI42vBY23oEkFhKKtpo+8+V68YWMjR3J6y48iYZ13+OOO+7lqZ0ZxtJw2PYnWbz+s8xrjxCf00G4oYlQrIlIvJVQrAm8vyO08w6It5toRHHH7wt14/R5HZxxejvh+69k173X8dhju3hyF6S9FCuevZ7DOn5PW2sYgKOOD0ZYT4J6kKpFzEjF2IAZlOYmCImIyD7grar6l1KFl+KtUUkj+F+Br4nI1ZgY9PdhRuQHxM0DA/663PXBbbntvAqTB4QVK1ZY9z6Lpd7ImjVmKKoay7deRBzgXcA3gRWlyq9phKCq/sG3Jd+FSan3W8zIOQ4ELzwO9GBS8uV2SHabxWKZSaiHzmDlXAj/jf53wJfKkVNT5Swiy4DfqOqn/c8XA4cBh2Pi5rOpSI8BHsW8RqwSEcfvAAfzy/TYtDfeYrGUxwy3OedDRBqA1wCvBabkuZZLrQt4nQJcLyIdIrIC+AhwNfAz4HIRaROR04ELH/qIVAAAGPFJREFUgetVdSMmPPKDIhIDrsBUG9hRo/ZbLJZSUQ/GBgovM5MmjLfZXozeKplaJz76FfAi4ElMLtbPqurfROQ24HhgC8aU8YFAQv+3Aj/BlKS5H1Muy2KxzDTUg/SMnhAEDkwZ6leIOk9EjsW4/U5rytCKoaqeqr5XVdtVtUNVv+Gvz6jqe1Q1oaqL/WTW2WOeUtXTVTWmqi9U1S21uwKLxVIqqh6Z5HDBpVxEZLWInBH4XK3gtnwpQ+/HpgwtjqwbXdZ9LuhW19Dg4vZuhP5tjPTsYnAwzcCwR2ZsmKF9Wwg1dBNu2IUTjqBeBs1kENcFzkc33GRcwBpaceYcZdzXQk24sYXM72hkTgKcPXvQ/q2MdG9nqGs7TjhCNDkAw13owE7EjSJuxLhGRRJotMW0NdSIF27Bi7aRTivpjDLUnSSV8pg/L4Y7+Bja+SS9W5+ge9d2mkcGSCxchbpRc42RhHH/a+xAQw1oyLjUqduAOmHj/hdqRN0ooh4DIw7hkIPT9TjDu9bRt3szmbQSbWojlh5GRzqN65PjGrlZFzUA7QBCaCiOF2oyboVuHMmMkfSiNLc4zI0NIjs2kunbxtBIhnB4zLieaQYySUgOoKEMhKLG5S1LKAKxuXjhFnAbjJuXEyHlttLUPMJhc1141nx3wwNDjIxmaGhwGdv3DG40hhMy7XRCUdSNGBc3r814CkT9pPahuOmjcAvpxFG4vUpruAe6NjC0bwu9fSn6hjyGkwKkCYXGiPaliHYNEI04hMNCNJ4gFEuQOeyFpPt3EmpsB3ehuQb/O/GicwntuI2hXevo2rWLfX1KMmPuye5hYU+v4uko/QMu4fAY0UgPbe17iSba0YUZ02Yv7cuMgBtFnTCp5qNpi0C05wFzT/Sn6RlxSGegMQK9fSkyaSU+sINo1CHW4BqXzvZFkPDleRmQjBmyiQPikG5ZRTgthHsfI9X5DPv29LCrF/pHTZvX7XXoHErSGjM5Mo6aykPpeWTGKj9yFpHzMXbfs3I2BYPb2oBbRWSNqj7M/uC2l2E8LX4OnFTkKesmZajFYrGUjapHOlkVs8ZZGN2WW0vwIqoQ3FZPKUMtFoulbLJmjQmYKyIPBD5f5ccvTCJXrwAQkXNzNuUWhZ1ycFuQuksZarFYLJVAJzdrdE5Ug7AEyg5uy6FuU4ZaLBZLyah6pEZzLQ/FISIfw+ThyeXHqnpJgcNyg9jKCm6rdsrQWaWcs/k1gpOCqoLrDeOMdZMc7CI50MXgUJrhpLDg7ItN3onBnWayRDOol0a9DE4oCskQJBYijR0Qa8drXIQXaTETYelhWpujOMPboW8TDOxkrG8v6mVo6liGLH4hZMaQ5AA0tKLhJpNbI5QgE52LuhsZiS4hlfLIDKZRxVSSdiAUcmhocHH6utGhPaSGe8mkleZFq5DnnG8utnezmTAKRcxElxvHi7ahzgBeg6karSqk0x7pUQ9wcB1obYmgW3eafhg0E0XhxlZkoT/p3b/V/HWjZjLNn0hj7xjp1pVoKDGeB0TFQUKNRHSMOS0x3L6n0KE9jA10k0l7JDqWEFtyJhKOo6O9SEOryYWRzV8SjkNXhkzbcrxIm6k0LY6RD4hCa3MEd3Aj2rORkZ5d9A+kGBnJsHCBQyTRhjih/ZWsQyYXhbhRGArDnKPwQk3gNuCF4iZfR3Q+nqc0NXm4g9vR/m0Md+2gf8DcE55CJCSmSnrIIR53CYdDhGNNRJvaibbMxw1HCc1dAdEEEm01/RRJoKG4uYd6NjLctZ2e3iQ9gYFjQxgiISUacYk1uEQjRn7rEccRbz8cJxNHFpwMzYvxIm3mXou0oW4D6YxDo9ODdG9gcN8W9g4Kw0kjN+SYKujRqENzIkRDopVoUzvx9kVE2pfASAxtnedX8/Zzl/iVuCUzSkxTyL7H6N32BPs6x9jVvz+VxGgKUp6psD5lPDPpXgqq+jlM3cCpkC0KOyOC22aVcrZYLPVDFScEC5ENbrsdWI4JEnmBqm4UkWxw27eBD1MHwW1WOVsslpqgqqRS6ek85dXMoOA2q5wtFktNUIVUyquifF2S8zkDvMdfcvd9CuOjXDdY5WyxWGqCUc42m28hZo1yDibbz02676QGYKyHscEuxoYHGBnJMJCEffddx9hAF5l0GjcUQhwXcVzccIRoUzve3OeR6dyAO9wJ0QROSy9ONIHGO8jEF0EKnLFudLgLb7SXscEuhgZH6N++noR3PZmxEcR1TSRZYwcSa0caO5BUn5mIGdtMgxvHa0iYqD8JMTCYxo0LocwADO0hM9LL6EAvI6MZerc+TmzO78kkRxjp2UWoIUGksQW37Sicxvk4zUcgGSXUt85E2rkNuKEmImETJZjxXEKMwmgPyeE+RkYzqAf929cR3/hHvNQwqaE+3GiMUMyfvGtoNdGC3kLcwU1GrhNF3Ybx/vWic3HTw0iqD0Z7SY8OMDLq0b19E27oD4jrkhzqo6FlHg0t8wk1JCAUMxOCqRNxOx/Bbewwk4Ju1EQ1OlE0Op9YLITT1QMjXYz27WVgKMPAsMf2naN49/6ekCtEE+24kRjhWBPheCvhWBNIG7p9LU68HWJzcWLtJgJRXJLSSoMzijO6l1T/Tkb6OukfSNEzIgyOCV3DENmXoqUhRUcLRKMujfFhmhq7aYw/S3rlyxjech8NLfNw4nNNH8XakcRCRML+pGgXQ8MZekf2T64NJ+GJ3Q6buj0OS4zR3KAkGl1SqQdomb8db9Hz0a4NSGYMp2khoik8L2WiDiOtOMP70JFOxga6GAgUtX6mS9jSA4tbxzhsTpLmxBjNiW6ae3aRGOyCOccjXeuQ+FwzcRlOoE4UL9KKOi04Y/vQgZ2mf4c9kpkDsz7s7hd2+5OEr5/SM6lVHTnPdGaNcrZYLPWFKiStci6IVc4Wi6UmeApjY1Y5F8IqZ4vFUhOsWWNiZqVyzgahZJG0yRA32reP/oE0fUMe3UMOf/jLM2zrNfs2hKG5QZkTg9YYtLfvJXXmEN3bHybevojYnAU4bhRJJpBQHOLgJPtwUn3o0B5G+/Yx1NtD/0Aa75n1DO4zmU7DsQTx9sNpnDdsglLwq0VqBEmZhOMOGUgB6pHJdBAKOUh6wLcvdjM8nGFgKIO7tx/3yTtIDhl7cTTiEGuZy5wjk4SbO03uXG+psYNHEqAZxAlDGjy3kWQyTdgZxhvtJTnUy8iox9hYhn17egg/fS+Z5AjpsWGiiXYaWubT0DIPN5NEUyPgzUNGu9GGNsBBAHXCeNF5ZMJzCA89i4z1oSNdjA10MzScZtceZSy5jpHRDKmUR1PjVpoTIeJzOojEW4gk2iG2Eu3dbPrFt2Or24CGEwwNp2mODCOj3YwNdDE8MMTgYJruYWE4maa3b4Bo1CHROEpDzCXR6NLQ2EiksRVv4UtQP6BGQqa4LOKg4QTJYY+40+3fE3vpH0jTPSTj9uHBMQChexg2dUNzQ4Y5sQzzE2O0tUbIPCfJSO8u3FCEaDaoJprAa5iPhuKM9e1jaHCEviGPtHdw1t7hpLETgxBylOOHBuno3Up63hCD2x6hyUsj4iLhOBKw7ztjnTC01wTjjB54j6c92NQtbOqGuY0pDmtOsmBukgUjw2QaR9GhvSY4JxQ3feyE0VATmVAz4dFHyAzsNP0wnFvLtHTshODEzErlbLFYao8qJNNWORdiWpPtB5Nfl5r4WkTeIiLbRaRfRL4rIvYHxmKZgahCMlN4me1Mi2IrkPx6yomvReRo4BvAy4GNwK+B9wJfm7wNerA5QxTJjOKO7MLb+xg7Nm1l+44Rnu50SGYYN2mAySHQHod5zcLCw2LMPXwRgw2NtB91Kk40YV5d3Qi4EWMyAJyBTWjfZno3PcTAnmfZvHWYnkGPZDrJvJYRjlgUY9GSE4kffhzStmI8BwMAmsRJdqNpY9qQ9CgA6cg8mhpDuP27yOxZS+/Wx9m2c4R9/bC7O8O+zh00J0K0tUZomreY1iOOJbT4+dAwB2Lt0J3Eiy/cn58iM4pkRhnSNtIZxcn0MbjnWfbtHWRnZ4bRNIwlRwiHt9Da1kJiwTKTG2TOUUjrUjQ+z+TBWDdEpmXReP4L1EO8FJlIO5mMR3RkJ9q3mf4d69i3bRvbumEklSGxe4SQA4e3O8xrd5lzxCqaD18FTQuRxvmwOwGLz8ILJSDbZi/FcDKMquIObUF7NtK77Ql27B7lma795oe2ODxnrkc06tDWGqb5sOXE2xcRbjkMZ6QZZ8lLIN5h3PMcYxoYTbuIKO7wdrR7Az2bH2PzthGe6So8jpkTg8XtwqLD48xdvIy1jc20P+f1pn+aFqKhBJ7bgBduIdS/jr6tj7N1+wgb9k4+NmoIw4qjGulYupJHm+aQWPJGtP0Y0g0daLgFL5xgcChDi7MT9j7K8K51bN/WP6HMkAttLSEWLYwxf+UL2BZrQZeeTCbSYvpYPdAMXjiBm+pB9zxM79Yn2Lx1mG29lRvPmZFz5cwkhxrTNXLOl/x6PPG1qq7FKOA3isgRmMTXV6pqP/BlYImIrAT+CfiVqt6tqnuBrwJvmqZrsFgsFcTDjpwnRFWnbQE2A2f4/3cBxwa2XQbcALwCuD/nuHuBCzAFYd8TWL8Sk/M137kuBR4AHujo6NBqcOutt1ZFbjVlW7nVlVtN2TNNLvCATqAPjmgW/fbfRwsukx1faAHe5uuaQcwb+Ap/vQBfweRu3glcFjhmKXAnMAKsAVaVcu5KLrUs8FpK4utCxxyEql6lqqeq6qktLS0Va7TFYqkMnkIyXXgpBRFZDnwb+BdgHnATcJ2/OWhKPR/4jIic7G/LmlI7MIPEn5d4WRWjlsq5lMTXhY6xWCwzDAWSGSm4lMg5wK2q+mdVHQG+BJwoIm2UZkqtGbVUztnE11kOSnwNkJP4utAxFotlhqFVGDkDvwX+NfD5FGAY6Cd/DcGjyFNDEKNrplRMvNLU0g1tyomvReQ6jFfH/2BG0VcA35rsRE899dSgiGyowjXMBTqrILeasq3c6sqtpuyZJnfFRBt3Dur/XbF6dO4EuzRMtcCrqu7J/i8irwO+B3xEVdMiUukagtVlOg3cHDgh6GJsQwPANuDNgf2OxhjlR4A7gCMD294J7MIo5y8AUsR5S5pYqJXcmdhmK3fmtnmmyfVlfwxI51m+j/mx+R2wHXhl4Jh9wPLA53cCv8C45t6VI/8u4B+q1f5ilmkdOWsg+bWWmPhaVa/GVDSwWCyzFC1QQ1BEGoEHgbuBlaoadN+dUTUEa2lztlgslkpzIbBLVS/OUcyw35TaJiKn+/ter6obgawpNYYxl9a8huBsUc4T2qnqUG41ZVu51ZVbTdlW7uScALxIRNI5y5GYN+5HMDUEb+DgGoKvB7qBl2J8pWuK+PYVi8VisdQRs2XkbLFYLDMKq5wtFoulDjmklbOInC8iT4vIkIj8UkQSZch6m4hsFpFBEbldRFbkbP+siNxUhvxjRWRMRBaISExEfiwiXSLSIyI/9WehpyLvEyIymrOkROStfqrWLn/5yVT7RUTe7fdFn4hcJSIRf/1FgfW/EZHWIuUFU8nGReRHfkrY3SLydREJ+9sKppItRnbO+rzfl5/K9g4R+chU5Ba6dhE5TUTuE5FhEXlWRC6ZQl+0iMgvRKTXP/YNgf1OFZEH/b5YJyIXTCCz4L0rIstEZF3O/g3+/dcvJj3v+6cq199+QB/7E3F/8p/HJ0TkrIOlWsappR9fNRdgDsa4/2r//+uBr5Uoazkmico/YMLHPwo8HNh+MjAK3FSifBfj+qPAAuDfgb9gnODbgL8BnyyzP04D1mJcF5/BuAq1YCKqvjoFOc/HJI05FmgHbsPMbp8E7AXOBBLAH4HPTSLrfEyQgLLf//1KTKKrRX5f3AO839+2Gvis3y8fAh6Ziuxivi9MdFkGE7hQbJsLXjuwDpOEK4RxDx0m4Lc/idyrgGuBJkxmxz5gGSaBz2aMr28jJl9ED3BYsfeu/91fjHE7W59zzJeBG/3v9wT/vCvKfSaAnwA/AloxGSZ3A5Hp0gkzbal5A6p2YWa29a+Bz6cAu0uU9S7gxsDnMCbjYZv//wOYPNOlKucPYbJlZZXzvwE3Y35U2jAK8L1l9EUIeBJ4ISafwL8Ftp0LPDYFWV8AvhT4/BqM0v8GJjdBdv18jJ/pRLI+DfwvJhApq5DuAV4X2OcdwO+BI3xlEPXXO5hApLznyCc78N3l/b6AJZiQ3hsorJzztbngtft98y/+d3Cm3+Z5RcrdCxwX2Od3/r2xAqMwncC2O4HXTuHefa5/vj8SUM5+v/YAywLrjgfaynkmgCgmqGxR4Ji1wN+Xel8f6suhbNbIjaN/HOgQkaYSZE0Ur/9RzMj2oVIaKaaAwNsxo88s38Zk1OrGpFadh3mQSuUyYIuq3uGf50eBbadiRsLFEgHGAp8Fk27xFMARkYdEpBP4b0zkZ0FU9QpVfQfmGrO8A/PWkNu+KeU/KCAbJv6+/hfzQ5nrHzuZ3Imu/d0YJZXCvB19WVX3FSm3UF9vA87y+wAxYclHk/97LHTvPuaf74s5+z8H8yb3Bt+k8Sxwsqp2Fym30DNxNDCoqtsD67K5LSx5OJSV8wHx8v5DnaaEeHlV3aOqm2E8Xv9G4COYfNJvBP6jlAaKiUT6Pua1fSiw6eMYBXEY5vW+HzOyKvUc/wZ8EkBVN6pql4iEReQKzIP0qSmI/Csmk9cSEZkLvA/zMM8F/hF4A+ZBPAJjopgSqvqEqg6ISKOIfBN4LUbZlZ3/QESOo8D3JSKXAntU9U9TbTMFrl1MCbUfY8wPcYzp4mMicnyRcv8KvN+fgzgb85bjquqwmqxqiMgJmBQHt6vqvbkCCt27qlootdBcjGnmcP9aLgK+JSInFSOXws9EfeavqGMOZeV8QHpRf9IqRIkpRkVkroj8Dvg6cAnwHeAHGHPDSIltfA/wjKrenLP+1cDnVXW3miil/8I82KVwAbBXVe/PrvAftEcwOQXOVNU1xQpT1T9gFM5dwP2Yt5O9/ub/8ZV/N8ZMc04pDRaRczC22mXAc1V1ExOnki1GpkOB70tEDsfY+T9QSnt98l37iUBCVb+oqiOq+hfgz8B5Rcr8V4ypZSfweUxu4r1+m0Mi8lmMOeM6JqgIlHvvquqkycIwcxzDqno38H/AiyaTy8TPRFnf32zkUC6Ouh54ZeDzKuDpUhSpGE+JOwnE64tIC2bS488iAmb06IjIblVdUKToFwMXiEjwwdqMed0LkgKGKI23YyZDAfBHbbcDnwC+pb7xr1hEZBnwG1X9tP/5YswIfw7G1pjFwdgYp4SYepPXYapU/CKwqdz8BwkKfF+YCbvFwDZ/WxjwROS5qvqGAvKCbCb/tQ/71ySBfp7Kd3kU8BZV7fHl3IGxyYMxTR0FnOj/eOUl371bxLVQ4HomlDvRM4Exl8wRkbaAieQYjAnPko9aG72rtWBmmruBszGK44/Af5Qo61JMAu+J9vlnSpwQDMjITgh+AuOZcBjG3vw34PIS5AnGhnlyYN21pfaDf/zrMaPaDoxyfAoT7vp2zIO9Er9gL76XRREyN7N/Euxu4J8L7HcvcDlmBPYp4LapyC72+8IovrwTggXanPfaMYOf9Rg7dgzjcdEJLC5S7h8xJp04ZoJ7I0ZpLseMOFvLvXcxA4Rcb43bMea2Jox3zj5gYbnPBOZH9xt+X1ziX49bzjNzKC81b0BVL87UI9yEsd/+EH+mvwQ538LMROemJzwysE/Bh30K58kq5zCmgsNuYA/mNTlcgrzjMaM3N7DucYyrWPA6Nk5BpuP3R5fftvf56wVjGtjht/sLxT54OQppME8//83fVjCVbDGyc9YX/L6YunIueO0Yhf1XjH31SSZJQ5kj92iM+WgY4/1wgr/+H/17Jbef3jrVe5f8ynkBZsKvz79fzq3EM4H5Qf+L//09DJxUzvNyqC82t4bFYrHUIYfyhKDFYrHMWKxytlgsljrEKmeLxWKpQ6xytlgsljrEKmeLxWKpQ6xytlgsljrEKmfLtCMiLxaR9bVuh8VSz1jlbDlkEBG31m2wWCqFVc6WWuGIyHf8qhibROT5fjKfL4rILhHZISKfFD9Jg19xI1h5ZLOInOFnx9stIp/BhBlbLIcEVjlbasVyTKjyXEy+jysxOShOx1QWeQHwOkx+58mYj8ljsbAaDbVYaoFVzpZa0Q98UU2WwD9hUmO+DZOUKZsr+AsYBV0MV6rqaDUaarHUgkM5Zailvtmt+xO7ZDD34uGYTGVZ9mFGxfkIDiySqjpc+SZaLLXDjpwttSJfxq19mMovWbKmDzAZ0BwYn/hrr2bjLJZaY5WzpZ64HvikiLSLyFJMCaxr/G3bMfUEwVT9iNegfRbLtGGVs6We+CSmJNPTmLzNP1fV3/rbLgcuFZG1mBzEj9ekhRbLNGHzOVssFksdYkfOFovFUodY5WyxWCx1iFXOFovFUodY5WyxWCx1iFXOFovFUodY5WyxWCx1iFXOFovFUodY5WyxWCx1yP8HGqoe9Z/VVZ0AAAAASUVORK5CYII=\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fontsize = 12\n", - "\n", - "fig,axes = mp.subplots(5,1)\n", - "fig.set_size_inches(4.25,8)\n", - "\n", - "axes[0].plot(xvals-4,(net_atm_diffs_1000_sw_latlon_subset-net_atm_diffs_400_sw_latlon_subset)/(60*60),c='firebrick')\n", - "axes[1].plot(xvals-4,(net_atm_diffs_1000_lw_latlon_subset-net_atm_diffs_400_lw_latlon_subset)/(60*60),c='firebrick')\n", - "axes[2].plot(xvals-4,\\\n", - " ((net_atm_diffs_1000_sw_latlon_subset+net_atm_diffs_1000_lw_latlon_subset)-\\\n", - " (net_atm_diffs_400_sw_latlon_subset+net_atm_diffs_400_lw_latlon_subset))/(60*60),c='firebrick')\n", - "\n", - "levels = numpy.arange(-.1,.11,0.02)*100.\n", - "contour_plot = axes[3].contourf(numpy.arange(241)-4,\\\n", - " ptot_latlon_subset_timemean/100.,\\\n", - " cldfra_diffs_latlon_subset.T*100.,\\\n", - " levels=levels, extend='both',\\\n", - " cmap=cmocean.cm.balance_r)\n", - "\n", - "levels = numpy.arange(-.25,.251,0.05)\n", - "contour_plot2 = axes[4].pcolormesh(numpy.arange(241)-4,\\\n", - " ptot_latlon_subset_timemean/100.,\\\n", - " cape3d_cape_diffs_latlon_mean.T,\\\n", - " vmin=-200,vmax=200,\\\n", - " #levels=levels, extend='both',\\\n", - " cmap='PuOr')\n", - "axes[3].set_ylim(1013.25,700)\n", - "axes[4].set_ylim(1013.25,700)\n", - "\n", - "axes[0].axhline(0, lw=1, c='0.1', ls='--',zorder=0)\n", - "axes[1].axhline(0, lw=1, c='0.1', ls='--',zorder=0)\n", - "axes[2].axhline(0, lw=1, c='0.1', ls='--',zorder=0)\n", - "\n", - "axes[1].set_ylim(-10,10)\n", - "axes[2].set_ylim(-5,5)\n", - "\n", - "[ax.tick_params(labelsize=fontsize) for ax in axes.flatten()]\n", - "[ax.set_xlim(0,240) for ax in axes.flatten()]\n", - "[ax.set_ylabel('W m$^{\\,-2}$', fontsize=fontsize) for ax in axes.flatten()[0:3]]\n", - "[ax.set_xlabel('hour', fontsize=fontsize) for ax in [axes[-1]]]\n", - "[ax.get_yaxis().set_label_coords(-0.15,0.5) for ax in axes.flatten()]\n", - "[ax.xaxis.grid() for ax in axes.flatten()]\n", - "\n", - "axes[3].set_ylabel('hPa', fontsize=fontsize)\n", - "axes[3].set_yticks([700,800,900,1000])\n", - "\n", - "axes[4].set_ylabel('hPa', fontsize=fontsize)\n", - "axes[4].set_yticks([700,800,900,1000])\n", - "\n", - "[ax.set_xticks(numpy.arange(0,241,24)) for ax in axes.flatten()]\n", - "[ax.set_xticklabels([]) for ax in axes[0:4]]\n", - "# [ax.set_axisbelow(True) for ax in axes.flatten()]\n", - "\n", - "plot_labels = [\\\n", - "'(a) $\\Delta$ net atmos. shortwave',\\\n", - "'(b) $\\Delta$ net atmos. longwave',\\\n", - "'(c) $\\Delta$ net atmos. rad.',\\\n", - "'(d) $\\Delta$ cloud fraction', \\\n", - "'(e) $\\Delta$ CAPE']\n", - "\n", - "[axes.flatten()[i].text(s=plot_labels[i], ha='left',\\\n", - " va='bottom',\\\n", - " x=0,y=1.03,\\\n", - " transform=axes.flatten()[i].transAxes,\\\n", - " fontsize=fontsize)\\\n", - "for i in range(axes.flatten().size)]\n", - "\n", - "fig.tight_layout(h_pad=1.5)\n", - "\n", - "ax4pos = axes[3].get_position()\n", - "cbar_ax = fig.add_axes([ax4pos.x1+0.025,ax4pos.y0,0.025,ax4pos.height])\n", - "cbar = fig.colorbar(contour_plot, cax=cbar_ax)\n", - "cbar_ax.tick_params(labelsize=fontsize)\n", - "cbar.set_ticks([-10,-5,0,5,10])\n", - "cbar.set_label('%', fontsize=fontsize)\n", - "\n", - "ax5pos = axes[4].get_position()\n", - "cbar_ax = fig.add_axes([ax5pos.x1+0.025,ax5pos.y0,0.025,ax5pos.height])\n", - "cbar = fig.colorbar(contour_plot2, cax=cbar_ax)\n", - "cbar_ax.tick_params(labelsize=fontsize)\n", - "cbar.set_ticks([-200,-100,0,100,200])\n", - "cbar.set_label('kJ kg$^{\\,-1}$', fontsize=fontsize)\n", - "\n", - "fig.savefig('radiation_cloud_cape_changes.png',\\\n", - " dpi=600, bbox_inches='tight', transparent=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-27T00:46:57.411845Z", - "start_time": "2018-06-27T00:46:57.391487Z" - } - }, - "source": [ - "# plot cape and cin background" - ] - }, - { - "cell_type": "code", - "execution_count": 129, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-27T19:28:45.799792Z", - "start_time": "2018-06-27T19:28:40.980482Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fontsize = 12\n", - "\n", - "fig,axes = mp.subplots(2,2)\n", - "fig.set_size_inches(8.5,4)\n", - "\n", - "cp1 = axes[0,0].pcolormesh(numpy.arange(241)-4,\\\n", - " ptot_latlon_subset_timemean/100.,\\\n", - " cape3d_400_latlon_mean[0,:].T,\\\n", - " vmin=0,vmax=1500,\\\n", - " #levels=levels, extend='both',\\\n", - " cmap=cmocean.cm.amp)\n", - "axes[0,0].set_ylim(1013.25,700)\n", - "\n", - "cp2 = axes[0,1].pcolormesh(numpy.arange(241)-4,\\\n", - " ptot_latlon_subset_timemean/100.,\\\n", - " cape3d_diffs_latlon_mean[0,:].T,\\\n", - " vmin=-200,vmax=200,\\\n", - " cmap=cmocean.cm.balance)\n", - "axes[0,1].set_ylim(1013.25,700)\n", - "\n", - "\n", - "cp3 = axes[1,0].pcolormesh(numpy.arange(241)-4,\\\n", - " ptot_latlon_subset_timemean/100.,\\\n", - " cape3d_400_latlon_mean[1,:].T,\\\n", - " vmin=0,vmax=20,\\\n", - " #levels=levels, extend='both',\\\n", - " cmap=cmocean.cm.deep)\n", - "axes[1,0].set_ylim(1013.25,700)\n", - "\n", - "\n", - "\n", - "cp4 = axes[1,1].pcolormesh(numpy.arange(241)-4,\\\n", - " ptot_latlon_subset_timemean/100.,\\\n", - " cape3d_diffs_latlon_mean[1,:].T,\\\n", - " vmin=-10,vmax=10,\\\n", - " cmap=cmocean.cm.balance_r)\n", - "axes[1,1].set_ylim(1013.25,700)\n", - "\n", - "[ax.tick_params(labelsize=fontsize) for ax in axes.flatten()]\n", - "[ax.set_xlim(0,240) for ax in axes.flatten()]\n", - "[ax.set_xlabel('hour', fontsize=fontsize) for ax in [axes[1,0],axes[1,1]]]\n", - "#[ax.get_yaxis().set_label_coords(-0.15,0.5) for ax in axes.flatten()]\n", - "[ax.xaxis.grid() for ax in axes.flatten()]\n", - "[ax.set_xticks(numpy.arange(0,241,24)) for ax in axes.flatten()]\n", - "[ax.set_xticklabels([]) for ax in axes.flatten()[0:2]]\n", - "[ax.set_ylabel('hPa', fontsize=fontsize) for ax in axes.flatten()[0::2]]\n", - "[ax.set_yticks([700,800,900,1000]) for ax in axes.flatten()]\n", - "\n", - "fig.tight_layout(h_pad=3,w_pad=5)\n", - "\n", - "plot_labels = [\\\n", - "'(a) background CAPE (J kg$^{\\,-1}$)',\\\n", - "'(b) phys.– cont. CAPE (J kg$^{\\,-1}$)',\\\n", - "'(c) background CIN (J kg$^{\\,-1}$)',\\\n", - "'(d) phys.– cont. CIN (J kg$^{\\,-1}$)']\n", - "\n", - "[axes.flatten()[i].text(s=plot_labels[i], ha='left',\\\n", - " va='bottom',\\\n", - " x=0,y=1.02,\\\n", - " transform=axes.flatten()[i].transAxes,\\\n", - " fontsize=fontsize)\\\n", - "for i in range(axes.flatten().size)]\n", - "\n", - "cbar_list = [cp1,cp2,cp3,cp4]\n", - "pos_list = [ax.get_position() for ax in axes.flatten()]\n", - "cbar_ax_list = [fig.add_axes([axpos.x1+0.02,axpos.y0,0.02,axpos.height]) for axpos in pos_list]\n", - "#cbar_ax_list += [fig.add_axes([axpos.x0,axpos.y0-.1,axpos.width,0.025]) for axpos in pos_list[2:4]]\n", - "\n", - "cbar_list = [fig.colorbar(cbar_list[i], cax=cbar_ax_list[i], orientation='vertical') for i in range(4)]\n", - "[cax.tick_params(labelsize=fontsize) for cax in cbar_ax_list]\n", - "\n", - "fig.savefig('background_and_change_CAPE_CIN.png', dpi=600, bbox_inches='tight', transparent=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 107, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-27T19:20:34.509275Z", - "start_time": "2018-06-27T19:20:34.499228Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "[Bbox([[0.09852941176470588, 0.6368055555555554], [0.4879084967320261, 0.9574999999999998]]),\n", - " Bbox([[0.09852941176470588, 0.12722222222222213], [0.4879084967320261, 0.4479166666666665]])]" - ] - }, - "execution_count": 107, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pos_list[0::2]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 412, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-27T00:53:16.852206Z", - "start_time": "2018-06-27T00:53:14.099018Z" - } - }, - "outputs": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fontsize = 12\n", - "\n", - "fig,axes = mp.subplots(3,1)\n", - "fig.set_size_inches(4.25,5)\n", - "\n", - "levels = numpy.arange(-.1,.11,0.02)*100.\n", - "contour_plot = axes[0].contourf(numpy.arange(241)-4,\\\n", - " ptot_latlon_subset_timemean/100.,\\\n", - " cldfra_diffs_latlon_subset.T*100.,\\\n", - " levels=levels, extend='both',\\\n", - " cmap=cmocean.cm.balance_r)\n", - "\n", - "axes[1].plot(numpy.arange(241)-4,\\\n", - " cape2d_diffs_latlon_mean[0,:], c='firebrick')\n", - "\n", - "axes[2].plot(numpy.arange(241)-4,\\\n", - " cape2d_diffs_latlon_mean[1,:], c='firebrick')\n", - "# levels = numpy.arange(-.25,.251,0.05)\n", - "# contour_plot2 = axes[1].pcolormesh(numpy.arange(241)-4,\\\n", - "# ptot_latlon_subset_timemean/100.,\\\n", - "# cape3d_cape_diffs_latlon_mean.T,\\\n", - "# vmin=-200,vmax=200,\\\n", - "# #levels=levels, extend='both',\\\n", - "# cmap='PuOr')\n", - "axes[0].set_ylim(1013.25,700)\n", - "\n", - "axes[0].set_ylabel('W m$^{\\,-2}$', fontsize=fontsize)\n", - "axes[1].set_ylabel('J kg$^{\\,-1}$', fontsize=fontsize)\n", - "axes[2].set_ylabel('J kg$^{\\,-1}$', fontsize=fontsize)\n", - "\n", - "axes[1].axhline(0, lw='1', c='0.1', ls='--')\n", - "axes[2].axhline(0, lw='1', c='0.1', ls='--')\n", - "\n", - "[ax.tick_params(labelsize=fontsize) for ax in axes.flatten()]\n", - "[ax.set_xlim(0,240) for ax in axes.flatten()]\n", - "[ax.set_xlabel('hour', fontsize=fontsize) for ax in [axes[-1]]]\n", - "[ax.get_yaxis().set_label_coords(-0.15,0.5) for ax in axes.flatten()]\n", - "[ax.xaxis.grid() for ax in axes.flatten()]\n", - "\n", - "axes[0].set_ylabel('hPa', fontsize=fontsize)\n", - "axes[0].set_yticks([700,800,900,1000])\n", - "\n", - "# axes[1].set_ylabel('hPa', fontsize=fontsize)\n", - "# axes[1].set_yticks([700,800,900,1000])\n", - "\n", - "[ax.set_xticks(numpy.arange(0,241,24)) for ax in axes.flatten()]\n", - "[ax.set_xticklabels([]) for ax in axes[0:2]]\n", - "# [ax.set_axisbelow(True) for ax in axes.flatten()]\n", - "\n", - "plot_labels = [\\\n", - "'(a) $\\Delta$ cloud fraction', \\\n", - "'(b) $\\Delta$ CAPE', \\\n", - "'(c) $\\Delta$ CIN']\n", - "\n", - "[axes.flatten()[i].text(s=plot_labels[i], ha='left',\\\n", - " va='bottom',\\\n", - " x=0,y=1.03,\\\n", - " transform=axes.flatten()[i].transAxes,\\\n", - " fontsize=fontsize)\\\n", - "for i in range(axes.flatten().size)]\n", - "\n", - "fig.tight_layout(h_pad=2)\n", - "\n", - "ax1pos = axes[0].get_position()\n", - "cbar_ax = fig.add_axes([ax1pos.x1+0.025,ax1pos.y0,0.025,ax1pos.height])\n", - "cbar = fig.colorbar(contour_plot, cax=cbar_ax)\n", - "cbar_ax.tick_params(labelsize=fontsize)\n", - "cbar.set_ticks([-10,-5,0,5,10])\n", - "cbar.set_label('%', fontsize=fontsize)\n", - "\n", - "# ax2pos = axes[1].get_position()\n", - "# cbar_ax = fig.add_axes([ax2pos.x1+0.025,ax2pos.y0,0.025,ax2pos.height])\n", - "# cbar = fig.colorbar(contour_plot2, cax=cbar_ax)\n", - "# cbar_ax.tick_params(labelsize=fontsize)\n", - "# cbar.set_ticks([-200,-100,0,100,200])\n", - "# cbar.set_label('kJ kg$^{\\,-1}$', fontsize=fontsize)\n", - "\n", - "fig.savefig('cloud_cape_cin_timeseries_changes.png',\\\n", - " dpi=600, bbox_inches='tight', transparent=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 262, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-25T06:05:03.117364Z", - "start_time": "2018-06-25T06:04:59.675547Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fontsize = 12\n", - "\n", - "fig,axes = mp.subplots(4,1)\n", - "fig.set_size_inches(4.25,6)\n", - "\n", - "axes[0].plot(xvals-4,(net_atm_diffs_1000_sw_latlon_subset-net_atm_diffs_400_sw_latlon_subset)/(60*60),c='firebrick',label='full')\n", - "axes[1].plot(xvals-4,(net_atm_diffs_1000_lw_latlon_subset-net_atm_diffs_400_lw_latlon_subset)/(60*60),c='firebrick')\n", - "axes[2].plot(xvals-4,\\\n", - " ((net_atm_diffs_1000_sw_latlon_subset+net_atm_diffs_1000_lw_latlon_subset)-\\\n", - " (net_atm_diffs_400_sw_latlon_subset+net_atm_diffs_400_lw_latlon_subset))/(60*60),c='firebrick')\n", - "\n", - "\n", - "axes[0].plot(xvals-4,(net_atm_diffs_1000_swc_latlon_subset-net_atm_diffs_400_swc_latlon_subset)/(60*60),c='coral',label='clear sky')\n", - "axes[1].plot(xvals-4,(net_atm_diffs_1000_lwc_latlon_subset-net_atm_diffs_400_lwc_latlon_subset)/(60*60),c='coral')\n", - "axes[2].plot(xvals-4,\\\n", - " ((net_atm_diffs_1000_swc_latlon_subset+net_atm_diffs_1000_lwc_latlon_subset)-\\\n", - " (net_atm_diffs_400_swc_latlon_subset+net_atm_diffs_400_lwc_latlon_subset))/(60*60),c='coral')\n", - "\n", - "contour_plot = axes[3].contourf(numpy.arange(241)-4,\\\n", - " ptot_latlon_subset_timemean/100.,\\\n", - " cldfra_diffs_latlon_subset.T,\\\n", - " levels=levels, extend='both',\\\n", - " cmap=cmocean.cm.balance_r)\n", - "\n", - "axes[3].set_ylim(1013.25,700)\n", - "\n", - "axes[0].axhline(0, lw=1, c='0.1', ls='--',zorder=0)\n", - "axes[1].axhline(0, lw=1, c='0.1', ls='--',zorder=0)\n", - "axes[2].axhline(0, lw=1, c='0.1', ls='--',zorder=0)\n", - "\n", - "axes[1].set_ylim(-10,10)\n", - "axes[2].set_ylim(-5,5)\n", - "\n", - "[ax.tick_params(labelsize=fontsize) for ax in axes.flatten()]\n", - "[ax.set_xlim(0,240) for ax in axes.flatten()]\n", - "[ax.set_ylabel('W m$^{\\,-2}$', fontsize=fontsize) for ax in axes.flatten()[0:3]]\n", - "[ax.set_xlabel('hour', fontsize=fontsize) for ax in [axes[-1]]]\n", - "[ax.get_yaxis().set_label_coords(-0.15,0.5) for ax in axes.flatten()]\n", - "[ax.xaxis.grid() for ax in axes.flatten()]\n", - "\n", - "axes[3].set_ylabel('hPa', fontsize=fontsize)\n", - "axes[3].set_yticks([700,800,900,1000])\n", - "\n", - "[ax.set_xticks(numpy.arange(0,241,24)) for ax in axes.flatten()]\n", - "[ax.set_xticklabels([]) for ax in axes[0:3]]\n", - "# [ax.set_axisbelow(True) for ax in axes.flatten()]\n", - "\n", - "plot_labels = [\\\n", - "'phys.– cont. net atmos. shortwave',\\\n", - "'phys.– cont. net atmos. longwave',\\\n", - "'phys.– cont. net atmos. rad.',\\\n", - "'phys.– cont. cloud fraction change' ]\n", - "\n", - "[axes.flatten()[i].text(s=plot_labels[i], ha='left',\\\n", - " va='bottom',\\\n", - " x=0,y=1.03,\\\n", - " transform=axes.flatten()[i].transAxes,\\\n", - " fontsize=fontsize)\\\n", - "for i in range(axes.flatten().size)]\n", - "\n", - "fig.tight_layout(h_pad=2)\n", - "\n", - "ax4pos = axes[3].get_position()\n", - "cbar_ax = fig.add_axes([ax4pos.x1+0.025,ax4pos.y0,0.025,ax4pos.height])\n", - "cbar = fig.colorbar(contour_plot, cax=cbar_ax)\n", - "cbar_ax.tick_params(labelsize=fontsize)\n", - "cbar.set_ticks([-.1,-0.05,0,0.05,0.1])\n", - "cbar.set_label('%', fontsize=fontsize)\n", - "\n", - "handles,labels=axes[0].get_legend_handles_labels()\n", - "axes[0].legend(handles, labels, fontsize=fontsize, scatterpoints=1, ncol=1, \\\n", - " bbox_to_anchor=(1.03,1.0), bbox_transform=axes[0].transAxes, \\\n", - " loc='upper left', borderaxespad=0,\\\n", - " fancybox=False, edgecolor='0', framealpha=0, borderpad=0., \\\n", - " handletextpad=0.5)\n", - "\n", - "fig.savefig('radiation_AND_CLOUD_changes_with_control_full_and_clearsky.png',\\\n", - " dpi=600, bbox_inches='tight', transparent=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# get time data" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-24T02:10:17.561197Z", - "start_time": "2018-06-24T02:10:17.546577Z" - } - }, - "outputs": [], - "source": [ - "time_datetimes = pandas.to_datetime([i.decode('utf-8') for i in time], format = '%Y-%m-%d_%H:%M:%S')" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-24T02:10:19.750505Z", - "start_time": "2018-06-24T02:10:19.735549Z" - } - }, - "outputs": [], - "source": [ - "skip_time = 24\n", - "n_intervals = 8\n", - "hour_strings = ['06','09','12','15','18','21','00','03']\n", - "hour_strings_local = ['02', '05', '08', '11', '14', '17','20', '23']\n", - "\n", - "times_00 = [t.hour in [23,0,1] for t in time_datetimes[skip_time:]]\n", - "times_03 = [t.hour in [2,3,4] for t in time_datetimes[skip_time:]]\n", - "times_06 = [t.hour in [5,6,7] for t in time_datetimes[skip_time:]]\n", - "times_09 = [t.hour in [8,9,10] for t in time_datetimes[skip_time:]]\n", - "times_12 = [t.hour in [11,12,13] for t in time_datetimes[skip_time:]]\n", - "times_15 = [t.hour in [14,15,16] for t in time_datetimes[skip_time:]]\n", - "times_18 = [t.hour in [17,18,19] for t in time_datetimes[skip_time:]]\n", - "times_21 = [t.hour in [20,21,22] for t in time_datetimes[skip_time:]]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# lat indices" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:02:32.365226Z", - "start_time": "2018-06-17T04:02:32.359084Z" - } - }, - "outputs": [], - "source": [ - "lat_hi = 10.\n", - "lat_lo = -10.\n", - "\n", - "# subset between lat_hi and lat_lo\n", - "lat_indices = (xlat<=lat_hi)&(xlat>=lat_lo)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:05:31.608852Z", - "start_time": "2018-06-17T04:05:31.600230Z" - } - }, - "outputs": [], - "source": [ - "lon_lo = 290-360\n", - "lon_hi = 320-360\n", - "lon_indices = (xlong[0,:]lon_hi)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# cldfra" - ] - }, - { - "cell_type": "raw", - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-14T06:19:13.611597Z", - "start_time": "2018-06-14T06:08:31.797511Z" - } - }, - "source": [ - "cldfra_diffs = cldfra_1000.values-cldfra_400.values\n", - "\n", - "cldfra_diffs_landmask = numpy.copy(cldfra_diffs)\n", - "cldfra_diffs_landmask[:,:,landmask==1]=numpy.nan\n", - "\n", - "cldfra_diffs_lat_subset = cldfra_diffs[:,:,lat_indices[:,0],:]\n", - "\n", - "cldfra_400_landmask = numpy.copy(cldfra_400)\n", - "cldfra_400_landmask[:,:,landmask==1]=numpy.nan" - ] - }, - { - "cell_type": "raw", - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-14T06:20:20.509608Z", - "start_time": "2018-06-14T06:19:14.812532Z" - } - }, - "source": [ - "cldfra_400_lat_subset = cldfra_400[:,:,lat_indices[:,0],:]\n", - "cldfra_diffs_lat_mean = numpy.nanmean(cldfra_diffs_lat_subset, axis=2)\n", - "cldfra_400_lat_mean = numpy.nanmean(cldfra_400_lat_subset, axis=2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# geopotential" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:07:57.679876Z", - "start_time": "2018-06-17T04:07:42.668321Z" - } - }, - "outputs": [], - "source": [ - "geopot_400_landmask = numpy.copy(geopot_400)\n", - "geopot_400_landmask[:,:,landmask==1]=numpy.nan" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:08:07.257499Z", - "start_time": "2018-06-17T04:07:58.613026Z" - } - }, - "outputs": [], - "source": [ - "geopot_400_lat_subset = geopot_400[:,:,lat_indices[:,0],:]\n", - "geopot_400_lat_mean = numpy.nanmean(geopot_400_lat_subset, axis=2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# net_bottom" - ] - }, - { - "cell_type": "code", - "execution_count": 109, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:50:44.980744Z", - "start_time": "2018-06-17T04:50:43.631144Z" - } - }, - "outputs": [], - "source": [ - "net_bottom_diffs = net_bottom_diffs_1000-net_bottom_diffs_400" - ] - }, - { - "cell_type": "code", - "execution_count": 110, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:50:52.750576Z", - "start_time": "2018-06-17T04:50:44.989419Z" - } - }, - "outputs": [], - "source": [ - "net_bottom_diffs_landmask = numpy.copy(net_bottom_diffs)\n", - "net_bottom_diffs_landmask[:,landmask==0]=numpy.nan\n", - "\n", - "net_bottom_400_landmask = numpy.copy(net_bottom_400)\n", - "net_bottom_400_landmask[:,landmask==0]=numpy.nan\n", - "\n", - "net_bottom_1000_landmask = numpy.copy(net_bottom_1000)\n", - "net_bottom_1000_landmask[:,landmask==0]=numpy.nan" - ] - }, - { - "cell_type": "code", - "execution_count": 111, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:50:57.308961Z", - "start_time": "2018-06-17T04:50:57.223712Z" - } - }, - "outputs": [], - "source": [ - "net_bottom_diffs_lat_subset = net_bottom_diffs_landmask[:,lat_indices[:,0],:]\n", - "net_bottom_400_lat_subset = net_bottom_400_landmask[:,lat_indices[:,0],:]\n", - "net_bottom_1000_lat_subset = net_bottom_1000_landmask[:,lat_indices[:,0],:]\n", - "\n", - "net_bottom_400_lat_subset[:,:,lon_indices]=numpy.nan\n", - "net_bottom_1000_lat_subset[:,:,lon_indices]=numpy.nan" - ] - }, - { - "cell_type": "code", - "execution_count": 112, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:50:59.683003Z", - "start_time": "2018-06-17T04:50:59.473753Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", - " \"\"\"Entry point for launching an IPython kernel.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", - " \n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", - " This is separate from the ipykernel package so we can avoid doing imports until\n" - ] - } - ], - "source": [ - "net_bottom_diffs_lat_mean = numpy.nanmean(net_bottom_diffs_lat_subset, axis=1)\n", - "net_bottom_400_lat_mean = numpy.nanmean(net_bottom_400_lat_subset, axis=1)\n", - "net_bottom_1000_lat_mean = numpy.nanmean(net_bottom_1000_lat_subset, axis=1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# fira" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:04:32.767647Z", - "start_time": "2018-06-17T04:04:07.332756Z" - } - }, - "outputs": [], - "source": [ - "fira_diffs = fira_1000.values-fira_400.values" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:04:33.528212Z", - "start_time": "2018-06-17T04:04:33.398230Z" - } - }, - "outputs": [], - "source": [ - "fira_diffs_landmask = numpy.copy(fira_diffs)\n", - "fira_diffs_landmask[:,landmask==0]=numpy.nan\n", - "\n", - "fira_400_landmask = numpy.copy(fira_400)\n", - "fira_400_landmask[:,landmask==0]=numpy.nan\n", - "\n", - "fira_1000_landmask = numpy.copy(fira_1000)\n", - "fira_1000_landmask[:,landmask==0]=numpy.nan" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:13:19.234532Z", - "start_time": "2018-06-17T04:13:15.257165Z" - } - }, - "outputs": [], - "source": [ - "fira_diffs_lat_subset = fira_diffs_landmask[:,lat_indices[:,0],:]\n", - "fira_400_lat_subset = fira_400_landmask[:,lat_indices[:,0],:]\n", - "fira_1000_lat_subset = fira_1000_landmask[:,lat_indices[:,0],:]\n", - "\n", - "fira_400_lat_subset[:,:,lon_indices]=numpy.nan\n", - "fira_1000_lat_subset[:,:,lon_indices]=numpy.nan" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:13:21.582302Z", - "start_time": "2018-06-17T04:13:20.257743Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", - " \"\"\"Entry point for launching an IPython kernel.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", - " \n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", - " This is separate from the ipykernel package so we can avoid doing imports until\n" - ] - } - ], - "source": [ - "fira_diffs_lat_mean = numpy.nanmean(fira_diffs_lat_subset, axis=1)\n", - "fira_400_lat_mean = numpy.nanmean(fira_400_lat_subset, axis=1)\n", - "fira_1000_lat_mean = numpy.nanmean(fira_1000_lat_subset, axis=1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# fsa" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:04:53.875147Z", - "start_time": "2018-06-17T04:04:40.844402Z" - } - }, - "outputs": [], - "source": [ - "fsa_diffs = fsa_1000.values-fsa_400.values" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:04:54.669112Z", - "start_time": "2018-06-17T04:04:54.539566Z" - } - }, - "outputs": [], - "source": [ - "fsa_diffs_landmask = numpy.copy(fsa_diffs)\n", - "fsa_diffs_landmask[:,landmask==0]=numpy.nan\n", - "\n", - "fsa_400_landmask = numpy.copy(fsa_400)\n", - "fsa_400_landmask[:,landmask==0]=numpy.nan\n", - "\n", - "fsa_1000_landmask = numpy.copy(fsa_1000)\n", - "fsa_1000_landmask[:,landmask==0]=numpy.nan" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:13:19.234532Z", - "start_time": "2018-06-17T04:13:15.257165Z" - } - }, - "outputs": [], - "source": [ - "fsa_diffs_lat_subset = fsa_diffs_landmask[:,lat_indices[:,0],:]\n", - "fsa_400_lat_subset = fsa_400_landmask[:,lat_indices[:,0],:]\n", - "fsa_1000_lat_subset = fsa_1000_landmask[:,lat_indices[:,0],:]\n", - "\n", - "fsa_400_lat_subset[:,:,lon_indices]=numpy.nan\n", - "fsa_1000_lat_subset[:,:,lon_indices]=numpy.nan" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:13:21.582302Z", - "start_time": "2018-06-17T04:13:20.257743Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", - " \"\"\"Entry point for launching an IPython kernel.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", - " \n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", - " This is separate from the ipykernel package so we can avoid doing imports until\n" - ] - } - ], - "source": [ - "fsa_diffs_lat_mean = numpy.nanmean(fsa_diffs_lat_subset, axis=1)\n", - "fsa_400_lat_mean = numpy.nanmean(fsa_400_lat_subset, axis=1)\n", - "fsa_1000_lat_mean = numpy.nanmean(fsa_1000_lat_subset, axis=1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# glw" - ] - }, - { - "cell_type": "code", - "execution_count": 74, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:35:13.048463Z", - "start_time": "2018-06-17T04:35:01.271278Z" - } - }, - "outputs": [], - "source": [ - "glw_diffs = glw_1000.values-glw_400.values" - ] - }, - { - "cell_type": "code", - "execution_count": 75, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:35:17.243103Z", - "start_time": "2018-06-17T04:35:14.428058Z" - } - }, - "outputs": [], - "source": [ - "glw_diffs_landmask = numpy.copy(glw_diffs)\n", - "glw_diffs_landmask[:,landmask==0]=numpy.nan\n", - "\n", - "glw_400_landmask = numpy.copy(glw_400)\n", - "glw_400_landmask[:,landmask==0]=numpy.nan\n", - "\n", - "glw_1000_landmask = numpy.copy(glw_1000)\n", - "glw_1000_landmask[:,landmask==0]=numpy.nan" - ] - }, - { - "cell_type": "code", - "execution_count": 76, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:35:19.784794Z", - "start_time": "2018-06-17T04:35:18.652049Z" - } - }, - "outputs": [], - "source": [ - "glw_diffs_lat_subset = glw_diffs_landmask[:,lat_indices[:,0],:]\n", - "glw_400_lat_subset = glw_400_landmask[:,lat_indices[:,0],:]\n", - "glw_1000_lat_subset = glw_1000_landmask[:,lat_indices[:,0],:]\n", - "\n", - "glw_400_lat_subset[:,:,lon_indices]=numpy.nan\n", - "glw_1000_lat_subset[:,:,lon_indices]=numpy.nan" - ] - }, - { - "cell_type": "code", - "execution_count": 77, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:35:21.412573Z", - "start_time": "2018-06-17T04:35:21.232332Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", - " \"\"\"Entry point for launching an IPython kernel.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", - " \n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", - " This is separate from the ipykernel package so we can avoid doing imports until\n" - ] - } - ], - "source": [ - "glw_diffs_lat_mean = numpy.nanmean(glw_diffs_lat_subset, axis=1)\n", - "glw_400_lat_mean = numpy.nanmean(glw_400_lat_subset, axis=1)\n", - "glw_1000_lat_mean = numpy.nanmean(glw_1000_lat_subset, axis=1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# swdown" - ] - }, - { - "cell_type": "code", - "execution_count": 78, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:35:13.048463Z", - "start_time": "2018-06-17T04:35:01.271278Z" - } - }, - "outputs": [], - "source": [ - "swdown_diffs = swdown_1000.values-swdown_400.values" - ] - }, - { - "cell_type": "code", - "execution_count": 79, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:35:17.243103Z", - "start_time": "2018-06-17T04:35:14.428058Z" - } - }, - "outputs": [], - "source": [ - "swdown_diffs_landmask = numpy.copy(swdown_diffs)\n", - "swdown_diffs_landmask[:,landmask==0]=numpy.nan\n", - "\n", - "swdown_400_landmask = numpy.copy(swdown_400)\n", - "swdown_400_landmask[:,landmask==0]=numpy.nan\n", - "\n", - "swdown_1000_landmask = numpy.copy(swdown_1000)\n", - "swdown_1000_landmask[:,landmask==0]=numpy.nan" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:35:19.784794Z", - "start_time": "2018-06-17T04:35:18.652049Z" - } - }, - "outputs": [], - "source": [ - "swdown_diffs_lat_subset = swdown_diffs_landmask[:,lat_indices[:,0],:]\n", - "swdown_400_lat_subset = swdown_400_landmask[:,lat_indices[:,0],:]\n", - "swdown_1000_lat_subset = swdown_1000_landmask[:,lat_indices[:,0],:]\n", - "\n", - "swdown_400_lat_subset[:,:,lon_indices]=numpy.nan\n", - "swdown_1000_lat_subset[:,:,lon_indices]=numpy.nan" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:35:21.412573Z", - "start_time": "2018-06-17T04:35:21.232332Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: RuntimeWarning: Mean of empty slice\n", - " \"\"\"Entry point for launching an IPython kernel.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", - " \n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", - " This is separate from the ipykernel package so we can avoid doing imports until\n" - ] - } - ], - "source": [ - "swdown_diffs_lat_mean = numpy.nanmean(swdown_diffs_lat_subset, axis=1)\n", - "swdown_400_lat_mean = numpy.nanmean(swdown_400_lat_subset, axis=1)\n", - "swdown_1000_lat_mean = numpy.nanmean(swdown_1000_lat_subset, axis=1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 3 hourly means of net_bottom" - ] - }, - { - "cell_type": "code", - "execution_count": 113, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:51:11.475177Z", - "start_time": "2018-06-17T04:51:11.447771Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:11: RuntimeWarning: Mean of empty slice\n", - " # This is added back by InteractiveShellApp.init_path()\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:12: RuntimeWarning: Mean of empty slice\n", - " if sys.path[0] == '':\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:13: RuntimeWarning: Mean of empty slice\n", - " del sys.path[0]\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:14: RuntimeWarning: Mean of empty slice\n", - " \n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:15: RuntimeWarning: Mean of empty slice\n", - " from ipykernel import kernelapp as app\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:16: RuntimeWarning: Mean of empty slice\n", - " app.launch_new_instance()\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:17: RuntimeWarning: Mean of empty slice\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:18: RuntimeWarning: Mean of empty slice\n" - ] - } - ], - "source": [ - "# calculate 3 hourly means for 400\n", - "net_bottom_400_t00mean = numpy.mean(net_bottom_400_lat_mean[skip_time:][times_00,:], axis=0)\n", - "net_bottom_400_t03mean = numpy.mean(net_bottom_400_lat_mean[skip_time:][times_03,:], axis=0)\n", - "net_bottom_400_t06mean = numpy.mean(net_bottom_400_lat_mean[skip_time:][times_06,:], axis=0)\n", - "net_bottom_400_t09mean = numpy.mean(net_bottom_400_lat_mean[skip_time:][times_09,:], axis=0)\n", - "net_bottom_400_t12mean = numpy.mean(net_bottom_400_lat_mean[skip_time:][times_12,:], axis=0)\n", - "net_bottom_400_t15mean = numpy.mean(net_bottom_400_lat_mean[skip_time:][times_15,:], axis=0)\n", - "net_bottom_400_t18mean = numpy.mean(net_bottom_400_lat_mean[skip_time:][times_18,:], axis=0)\n", - "net_bottom_400_t21mean = numpy.mean(net_bottom_400_lat_mean[skip_time:][times_21,:], axis=0)\n", - "\n", - "net_bottom_1000_t00mean = numpy.nanmean(net_bottom_1000_lat_mean[skip_time:][times_00,:], axis=0)\n", - "net_bottom_1000_t03mean = numpy.nanmean(net_bottom_1000_lat_mean[skip_time:][times_03,:], axis=0)\n", - "net_bottom_1000_t06mean = numpy.nanmean(net_bottom_1000_lat_mean[skip_time:][times_06,:], axis=0)\n", - "net_bottom_1000_t09mean = numpy.nanmean(net_bottom_1000_lat_mean[skip_time:][times_09,:], axis=0)\n", - "net_bottom_1000_t12mean = numpy.nanmean(net_bottom_1000_lat_mean[skip_time:][times_12,:], axis=0)\n", - "net_bottom_1000_t15mean = numpy.nanmean(net_bottom_1000_lat_mean[skip_time:][times_15,:], axis=0)\n", - "net_bottom_1000_t18mean = numpy.nanmean(net_bottom_1000_lat_mean[skip_time:][times_18,:], axis=0)\n", - "net_bottom_1000_t21mean = numpy.nanmean(net_bottom_1000_lat_mean[skip_time:][times_21,:], axis=0)\n", - "\n", - "net_bottom_400_array = numpy.array([net_bottom_400_t06mean, net_bottom_400_t09mean, net_bottom_400_t12mean, net_bottom_400_t15mean, net_bottom_400_t18mean, net_bottom_400_t21mean, net_bottom_400_t00mean, net_bottom_400_t03mean])\n", - "net_bottom_1000_array = numpy.array([net_bottom_1000_t06mean, net_bottom_1000_t09mean, net_bottom_1000_t12mean, net_bottom_1000_t15mean, net_bottom_1000_t18mean, net_bottom_1000_t21mean, net_bottom_1000_t00mean, net_bottom_1000_t03mean])\n" - ] - }, - { - "cell_type": "code", - "execution_count": 114, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:51:14.396961Z", - "start_time": "2018-06-17T04:51:14.377935Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:2: RuntimeWarning: Mean of empty slice\n", - " \n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: Mean of empty slice\n", - " This is separate from the ipykernel package so we can avoid doing imports until\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: Mean of empty slice\n", - " after removing the cwd from sys.path.\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:5: RuntimeWarning: Mean of empty slice\n", - " \"\"\"\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:6: RuntimeWarning: Mean of empty slice\n", - " \n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:7: RuntimeWarning: Mean of empty slice\n", - " import sys\n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:8: RuntimeWarning: Mean of empty slice\n", - " \n", - "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: Mean of empty slice\n", - " if __name__ == '__main__':\n" - ] - } - ], - "source": [ - "# calculate 3 hourly means for 400\n", - "net_bottom_diffs_t00mean = numpy.nanmean(net_bottom_diffs_lat_mean[skip_time:,:][times_00,:], axis=0)\n", - "net_bottom_diffs_t03mean = numpy.nanmean(net_bottom_diffs_lat_mean[skip_time:,:][times_03,:], axis=0)\n", - "net_bottom_diffs_t06mean = numpy.nanmean(net_bottom_diffs_lat_mean[skip_time:,:][times_06,:], axis=0)\n", - "net_bottom_diffs_t09mean = numpy.nanmean(net_bottom_diffs_lat_mean[skip_time:,:][times_09,:], axis=0)\n", - "net_bottom_diffs_t12mean = numpy.nanmean(net_bottom_diffs_lat_mean[skip_time:,:][times_12,:], axis=0)\n", - "net_bottom_diffs_t15mean = numpy.nanmean(net_bottom_diffs_lat_mean[skip_time:,:][times_15,:], axis=0)\n", - "net_bottom_diffs_t18mean = numpy.nanmean(net_bottom_diffs_lat_mean[skip_time:,:][times_18,:], axis=0)\n", - "net_bottom_diffs_t21mean = numpy.nanmean(net_bottom_diffs_lat_mean[skip_time:,:][times_21,:], axis=0)\n", - "\n", - "net_bottom_diffs_array = numpy.array([net_bottom_diffs_t06mean, net_bottom_diffs_t09mean, net_bottom_diffs_t12mean, net_bottom_diffs_t15mean, net_bottom_diffs_t18mean, net_bottom_diffs_t21mean, net_bottom_diffs_t00mean, net_bottom_diffs_t03mean])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 3 hourly means of fira" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:13:25.550317Z", - "start_time": "2018-06-17T04:13:25.532569Z" - } - }, - "outputs": [], - "source": [ - "# calculate 3 hourly means for 400\n", - "fira_400_t00mean = numpy.mean(fira_400_lat_mean[skip_time:][times_00,:], axis=0)\n", - "fira_400_t03mean = numpy.mean(fira_400_lat_mean[skip_time:][times_03,:], axis=0)\n", - "fira_400_t06mean = numpy.mean(fira_400_lat_mean[skip_time:][times_06,:], axis=0)\n", - "fira_400_t09mean = numpy.mean(fira_400_lat_mean[skip_time:][times_09,:], axis=0)\n", - "fira_400_t12mean = numpy.mean(fira_400_lat_mean[skip_time:][times_12,:], axis=0)\n", - "fira_400_t15mean = numpy.mean(fira_400_lat_mean[skip_time:][times_15,:], axis=0)\n", - "fira_400_t18mean = numpy.mean(fira_400_lat_mean[skip_time:][times_18,:], axis=0)\n", - "fira_400_t21mean = numpy.mean(fira_400_lat_mean[skip_time:][times_21,:], axis=0)\n", - "\n", - "fira_1000_t00mean = numpy.mean(fira_1000_lat_mean[skip_time:][times_00,:], axis=0)\n", - "fira_1000_t03mean = numpy.mean(fira_1000_lat_mean[skip_time:][times_03,:], axis=0)\n", - "fira_1000_t06mean = numpy.mean(fira_1000_lat_mean[skip_time:][times_06,:], axis=0)\n", - "fira_1000_t09mean = numpy.mean(fira_1000_lat_mean[skip_time:][times_09,:], axis=0)\n", - "fira_1000_t12mean = numpy.mean(fira_1000_lat_mean[skip_time:][times_12,:], axis=0)\n", - "fira_1000_t15mean = numpy.mean(fira_1000_lat_mean[skip_time:][times_15,:], axis=0)\n", - "fira_1000_t18mean = numpy.mean(fira_1000_lat_mean[skip_time:][times_18,:], axis=0)\n", - "fira_1000_t21mean = numpy.mean(fira_1000_lat_mean[skip_time:][times_21,:], axis=0)\n", - "\n", - "fira_400_array = numpy.array([fira_400_t06mean, fira_400_t09mean, fira_400_t12mean, fira_400_t15mean, fira_400_t18mean, fira_400_t21mean, fira_400_t00mean, fira_400_t03mean])\n", - "fira_1000_array = numpy.array([fira_1000_t06mean, fira_1000_t09mean, fira_1000_t12mean, fira_1000_t15mean, fira_1000_t18mean, fira_1000_t21mean, fira_1000_t00mean, fira_1000_t03mean])\n" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:24:07.089984Z", - "start_time": "2018-06-17T04:24:07.075151Z" - } - }, - "outputs": [], - "source": [ - "# calculate 3 hourly means for 400\n", - "fira_diffs_t00mean = numpy.mean(fira_diffs_lat_mean[skip_time:,:][times_00,:], axis=0)\n", - "fira_diffs_t03mean = numpy.mean(fira_diffs_lat_mean[skip_time:,:][times_03,:], axis=0)\n", - "fira_diffs_t06mean = numpy.mean(fira_diffs_lat_mean[skip_time:,:][times_06,:], axis=0)\n", - "fira_diffs_t09mean = numpy.mean(fira_diffs_lat_mean[skip_time:,:][times_09,:], axis=0)\n", - "fira_diffs_t12mean = numpy.mean(fira_diffs_lat_mean[skip_time:,:][times_12,:], axis=0)\n", - "fira_diffs_t15mean = numpy.mean(fira_diffs_lat_mean[skip_time:,:][times_15,:], axis=0)\n", - "fira_diffs_t18mean = numpy.mean(fira_diffs_lat_mean[skip_time:,:][times_18,:], axis=0)\n", - "fira_diffs_t21mean = numpy.mean(fira_diffs_lat_mean[skip_time:,:][times_21,:], axis=0)\n", - "\n", - "fira_diffs_array = numpy.array([fira_diffs_t06mean, fira_diffs_t09mean, fira_diffs_t12mean, fira_diffs_t15mean, fira_diffs_t18mean, fira_diffs_t21mean, fira_diffs_t00mean, fira_diffs_t03mean])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 3 hourly means of fsa" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:17:28.167904Z", - "start_time": "2018-06-17T04:17:28.149999Z" - } - }, - "outputs": [], - "source": [ - "# calculate 3 hourly means for 400\n", - "fsa_400_t00mean = numpy.mean(fsa_400_lat_mean[skip_time:][times_00,:], axis=0)\n", - "fsa_400_t03mean = numpy.mean(fsa_400_lat_mean[skip_time:][times_03,:], axis=0)\n", - "fsa_400_t06mean = numpy.mean(fsa_400_lat_mean[skip_time:][times_06,:], axis=0)\n", - "fsa_400_t09mean = numpy.mean(fsa_400_lat_mean[skip_time:][times_09,:], axis=0)\n", - "fsa_400_t12mean = numpy.mean(fsa_400_lat_mean[skip_time:][times_12,:], axis=0)\n", - "fsa_400_t15mean = numpy.mean(fsa_400_lat_mean[skip_time:][times_15,:], axis=0)\n", - "fsa_400_t18mean = numpy.mean(fsa_400_lat_mean[skip_time:][times_18,:], axis=0)\n", - "fsa_400_t21mean = numpy.mean(fsa_400_lat_mean[skip_time:][times_21,:], axis=0)\n", - "\n", - "fsa_1000_t00mean = numpy.mean(fsa_1000_lat_mean[skip_time:][times_00,:], axis=0)\n", - "fsa_1000_t03mean = numpy.mean(fsa_1000_lat_mean[skip_time:][times_03,:], axis=0)\n", - "fsa_1000_t06mean = numpy.mean(fsa_1000_lat_mean[skip_time:][times_06,:], axis=0)\n", - "fsa_1000_t09mean = numpy.mean(fsa_1000_lat_mean[skip_time:][times_09,:], axis=0)\n", - "fsa_1000_t12mean = numpy.mean(fsa_1000_lat_mean[skip_time:][times_12,:], axis=0)\n", - "fsa_1000_t15mean = numpy.mean(fsa_1000_lat_mean[skip_time:][times_15,:], axis=0)\n", - "fsa_1000_t18mean = numpy.mean(fsa_1000_lat_mean[skip_time:][times_18,:], axis=0)\n", - "fsa_1000_t21mean = numpy.mean(fsa_1000_lat_mean[skip_time:][times_21,:], axis=0)\n", - "\n", - "fsa_400_array = numpy.array([fsa_400_t06mean, fsa_400_t09mean, fsa_400_t12mean, fsa_400_t15mean, fsa_400_t18mean, fsa_400_t21mean, fsa_400_t00mean, fsa_400_t03mean])\n", - "fsa_1000_array = numpy.array([fsa_1000_t06mean, fsa_1000_t09mean, fsa_1000_t12mean, fsa_1000_t15mean, fsa_1000_t18mean, fsa_1000_t21mean, fsa_1000_t00mean, fsa_1000_t03mean])" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:23:53.603889Z", - "start_time": "2018-06-17T04:23:53.589110Z" - } - }, - "outputs": [], - "source": [ - "# calculate 3 hourly means for 400\n", - "fsa_diffs_t00mean = numpy.mean(fsa_diffs_lat_mean[skip_time:,:][times_00,:], axis=0)\n", - "fsa_diffs_t03mean = numpy.mean(fsa_diffs_lat_mean[skip_time:,:][times_03,:], axis=0)\n", - "fsa_diffs_t06mean = numpy.mean(fsa_diffs_lat_mean[skip_time:,:][times_06,:], axis=0)\n", - "fsa_diffs_t09mean = numpy.mean(fsa_diffs_lat_mean[skip_time:,:][times_09,:], axis=0)\n", - "fsa_diffs_t12mean = numpy.mean(fsa_diffs_lat_mean[skip_time:,:][times_12,:], axis=0)\n", - "fsa_diffs_t15mean = numpy.mean(fsa_diffs_lat_mean[skip_time:,:][times_15,:], axis=0)\n", - "fsa_diffs_t18mean = numpy.mean(fsa_diffs_lat_mean[skip_time:,:][times_18,:], axis=0)\n", - "fsa_diffs_t21mean = numpy.mean(fsa_diffs_lat_mean[skip_time:,:][times_21,:], axis=0)\n", - "\n", - "fsa_diffs_array = numpy.array([fsa_diffs_t06mean, fsa_diffs_t09mean, fsa_diffs_t12mean, fsa_diffs_t15mean, fsa_diffs_t18mean, fsa_diffs_t21mean, fsa_diffs_t00mean, fsa_diffs_t03mean])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 3 hourly means of glw" - ] - }, - { - "cell_type": "code", - "execution_count": 82, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:35:34.295636Z", - "start_time": "2018-06-17T04:35:34.274525Z" - } - }, - "outputs": [], - "source": [ - "# calculate 3 hourly means for 400\n", - "glw_400_t00mean = numpy.mean(glw_400_lat_mean[skip_time:][times_00,:], axis=0)\n", - "glw_400_t03mean = numpy.mean(glw_400_lat_mean[skip_time:][times_03,:], axis=0)\n", - "glw_400_t06mean = numpy.mean(glw_400_lat_mean[skip_time:][times_06,:], axis=0)\n", - "glw_400_t09mean = numpy.mean(glw_400_lat_mean[skip_time:][times_09,:], axis=0)\n", - "glw_400_t12mean = numpy.mean(glw_400_lat_mean[skip_time:][times_12,:], axis=0)\n", - "glw_400_t15mean = numpy.mean(glw_400_lat_mean[skip_time:][times_15,:], axis=0)\n", - "glw_400_t18mean = numpy.mean(glw_400_lat_mean[skip_time:][times_18,:], axis=0)\n", - "glw_400_t21mean = numpy.mean(glw_400_lat_mean[skip_time:][times_21,:], axis=0)\n", - "\n", - "glw_1000_t00mean = numpy.mean(glw_1000_lat_mean[skip_time:][times_00,:], axis=0)\n", - "glw_1000_t03mean = numpy.mean(glw_1000_lat_mean[skip_time:][times_03,:], axis=0)\n", - "glw_1000_t06mean = numpy.mean(glw_1000_lat_mean[skip_time:][times_06,:], axis=0)\n", - "glw_1000_t09mean = numpy.mean(glw_1000_lat_mean[skip_time:][times_09,:], axis=0)\n", - "glw_1000_t12mean = numpy.mean(glw_1000_lat_mean[skip_time:][times_12,:], axis=0)\n", - "glw_1000_t15mean = numpy.mean(glw_1000_lat_mean[skip_time:][times_15,:], axis=0)\n", - "glw_1000_t18mean = numpy.mean(glw_1000_lat_mean[skip_time:][times_18,:], axis=0)\n", - "glw_1000_t21mean = numpy.mean(glw_1000_lat_mean[skip_time:][times_21,:], axis=0)\n", - "\n", - "glw_400_array = numpy.array([glw_400_t06mean, glw_400_t09mean, glw_400_t12mean, glw_400_t15mean, glw_400_t18mean, glw_400_t21mean, glw_400_t00mean, glw_400_t03mean])\n", - "glw_1000_array = numpy.array([glw_1000_t06mean, glw_1000_t09mean, glw_1000_t12mean, glw_1000_t15mean, glw_1000_t18mean, glw_1000_t21mean, glw_1000_t00mean, glw_1000_t03mean])\n" - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:35:36.465829Z", - "start_time": "2018-06-17T04:35:36.453249Z" - } - }, - "outputs": [], - "source": [ - "# calculate 3 hourly means for 400\n", - "glw_diffs_t00mean = numpy.mean(glw_diffs_lat_mean[skip_time:,:][times_00,:], axis=0)\n", - "glw_diffs_t03mean = numpy.mean(glw_diffs_lat_mean[skip_time:,:][times_03,:], axis=0)\n", - "glw_diffs_t06mean = numpy.mean(glw_diffs_lat_mean[skip_time:,:][times_06,:], axis=0)\n", - "glw_diffs_t09mean = numpy.mean(glw_diffs_lat_mean[skip_time:,:][times_09,:], axis=0)\n", - "glw_diffs_t12mean = numpy.mean(glw_diffs_lat_mean[skip_time:,:][times_12,:], axis=0)\n", - "glw_diffs_t15mean = numpy.mean(glw_diffs_lat_mean[skip_time:,:][times_15,:], axis=0)\n", - "glw_diffs_t18mean = numpy.mean(glw_diffs_lat_mean[skip_time:,:][times_18,:], axis=0)\n", - "glw_diffs_t21mean = numpy.mean(glw_diffs_lat_mean[skip_time:,:][times_21,:], axis=0)\n", - "\n", - "glw_diffs_array = numpy.array([glw_diffs_t06mean, glw_diffs_t09mean, glw_diffs_t12mean, glw_diffs_t15mean, glw_diffs_t18mean, glw_diffs_t21mean, glw_diffs_t00mean, glw_diffs_t03mean])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 3 hourly means of swdown" - ] - }, - { - "cell_type": "code", - "execution_count": 84, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:35:34.295636Z", - "start_time": "2018-06-17T04:35:34.274525Z" - } - }, - "outputs": [], - "source": [ - "# calculate 3 hourly means for 400\n", - "swdown_400_t00mean = numpy.mean(swdown_400_lat_mean[skip_time:][times_00,:], axis=0)\n", - "swdown_400_t03mean = numpy.mean(swdown_400_lat_mean[skip_time:][times_03,:], axis=0)\n", - "swdown_400_t06mean = numpy.mean(swdown_400_lat_mean[skip_time:][times_06,:], axis=0)\n", - "swdown_400_t09mean = numpy.mean(swdown_400_lat_mean[skip_time:][times_09,:], axis=0)\n", - "swdown_400_t12mean = numpy.mean(swdown_400_lat_mean[skip_time:][times_12,:], axis=0)\n", - "swdown_400_t15mean = numpy.mean(swdown_400_lat_mean[skip_time:][times_15,:], axis=0)\n", - "swdown_400_t18mean = numpy.mean(swdown_400_lat_mean[skip_time:][times_18,:], axis=0)\n", - "swdown_400_t21mean = numpy.mean(swdown_400_lat_mean[skip_time:][times_21,:], axis=0)\n", - "\n", - "swdown_1000_t00mean = numpy.mean(swdown_1000_lat_mean[skip_time:][times_00,:], axis=0)\n", - "swdown_1000_t03mean = numpy.mean(swdown_1000_lat_mean[skip_time:][times_03,:], axis=0)\n", - "swdown_1000_t06mean = numpy.mean(swdown_1000_lat_mean[skip_time:][times_06,:], axis=0)\n", - "swdown_1000_t09mean = numpy.mean(swdown_1000_lat_mean[skip_time:][times_09,:], axis=0)\n", - "swdown_1000_t12mean = numpy.mean(swdown_1000_lat_mean[skip_time:][times_12,:], axis=0)\n", - "swdown_1000_t15mean = numpy.mean(swdown_1000_lat_mean[skip_time:][times_15,:], axis=0)\n", - "swdown_1000_t18mean = numpy.mean(swdown_1000_lat_mean[skip_time:][times_18,:], axis=0)\n", - "swdown_1000_t21mean = numpy.mean(swdown_1000_lat_mean[skip_time:][times_21,:], axis=0)\n", - "\n", - "swdown_400_array = numpy.array([swdown_400_t06mean, swdown_400_t09mean, swdown_400_t12mean, swdown_400_t15mean, swdown_400_t18mean, swdown_400_t21mean, swdown_400_t00mean, swdown_400_t03mean])\n", - "swdown_1000_array = numpy.array([swdown_1000_t06mean, swdown_1000_t09mean, swdown_1000_t12mean, swdown_1000_t15mean, swdown_1000_t18mean, swdown_1000_t21mean, swdown_1000_t00mean, swdown_1000_t03mean])\n" - ] - }, - { - "cell_type": "code", - "execution_count": 85, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:35:36.465829Z", - "start_time": "2018-06-17T04:35:36.453249Z" - } - }, - "outputs": [], - "source": [ - "# calculate 3 hourly means for 400\n", - "swdown_diffs_t00mean = numpy.mean(swdown_diffs_lat_mean[skip_time:,:][times_00,:], axis=0)\n", - "swdown_diffs_t03mean = numpy.mean(swdown_diffs_lat_mean[skip_time:,:][times_03,:], axis=0)\n", - "swdown_diffs_t06mean = numpy.mean(swdown_diffs_lat_mean[skip_time:,:][times_06,:], axis=0)\n", - "swdown_diffs_t09mean = numpy.mean(swdown_diffs_lat_mean[skip_time:,:][times_09,:], axis=0)\n", - "swdown_diffs_t12mean = numpy.mean(swdown_diffs_lat_mean[skip_time:,:][times_12,:], axis=0)\n", - "swdown_diffs_t15mean = numpy.mean(swdown_diffs_lat_mean[skip_time:,:][times_15,:], axis=0)\n", - "swdown_diffs_t18mean = numpy.mean(swdown_diffs_lat_mean[skip_time:,:][times_18,:], axis=0)\n", - "swdown_diffs_t21mean = numpy.mean(swdown_diffs_lat_mean[skip_time:,:][times_21,:], axis=0)\n", - "\n", - "swdown_diffs_array = numpy.array([swdown_diffs_t06mean, swdown_diffs_t09mean, swdown_diffs_t12mean, swdown_diffs_t15mean, swdown_diffs_t18mean, swdown_diffs_t21mean, swdown_diffs_t00mean, swdown_diffs_t03mean])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## create grid" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-17T04:15:03.622146Z", - "start_time": "2018-06-17T04:15:03.613490Z" - } - }, - "outputs": [], - "source": [ - "xx,zz=numpy.meshgrid(xlong[0,:],geopot_400_lat_mean[0,:,:].mean(axis=1)/10000.)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# plot fira minus fsa" - ] - }, - { - "cell_type": "code", - "execution_count": 119, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-21T15:18:07.619869Z", - "start_time": "2018-06-21T15:18:01.283623Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#fig,ax_array = mp.subplots(4,2)\n", - "#fig.set_size_inches(7.5,6)\n", - "fontsize=12\n", - "\n", - "fig = mp.figure(figsize=(7.5,6))\n", - "\n", - "ax_list = []\n", - "for t in range(8):\n", - " ax=fig.add_subplot(4,2,t+1)\n", - " radiation_smoothed = pandas.Series(fira_diffs_array[t]-fsa_diffs_array[t]).rolling(window=3, center=True, min_periods=1).mean()\n", - " ax.plot(xx[0,:]+360., radiation_smoothed, c='firebrick')\n", - " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", - " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", - " ax.tick_params(labelsize=fontsize)\n", - " ax_list.append(ax)\n", - " ax.axhline(0, lw=1, c='0.1', ls='--', zorder=0)\n", - "fig.tight_layout()\n", - "\n", - "fig.savefig('net_radiation_atmosphere_3hour.png', dpi=600, bbox_inches='tight', transparent=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# plot swdown minus glw" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# plot net bottom" - ] - }, - { - "cell_type": "code", - "execution_count": 118, - "metadata": { - "ExecuteTime": { - "end_time": "2018-06-21T15:17:03.323651Z", - "start_time": "2018-06-21T15:16:56.787093Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#fig,ax_array = mp.subplots(4,2)\n", - "#fig.set_size_inches(7.5,6)\n", - "fontsize=12\n", - "\n", - "fig = mp.figure(figsize=(7.5,6))\n", - "\n", - "ax_list = []\n", - "for t in range(8):\n", - " ax=fig.add_subplot(4,2,t+1)\n", - " radiation_smoothed = pandas.Series(net_bottom_diffs_array[t]).rolling(window=3, center=True, min_periods=1).mean()\n", - " ax.plot(xx[0,:]+360., radiation_smoothed/3600., c='firebrick')\n", - " ax.text(s='('+string.ascii_lowercase[t]+') hour '+hour_strings_local[t], x=0, y=1.02,\\\n", - " transform=ax.transAxes,fontsize=fontsize,ha='left',va='bottom')\n", - " ax.tick_params(labelsize=fontsize)\n", - " ax_list.append(ax)\n", - " ax.axhline(0, lw=1, c='0.1', ls='--', zorder=0)\n", - " if t in [0,2,4,6]:\n", - " ax.set_ylabel('W m$^{\\,-2}$', fontsize=fontsize)\n", - "fig.tight_layout()\n", - "\n", - "fig.savefig('net_radiation_bottom_3hour.png', dpi=600, bbox_inches='tight', transparent=True)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.5" - }, - "varInspector": { - "cols": { - "lenName": 16, - "lenType": 16, - "lenVar": 40 - }, - "kernels_config": { - "python": { - "delete_cmd_postfix": "", - "delete_cmd_prefix": "del ", - "library": "var_list.py", - "varRefreshCmd": "print(var_dic_list())" - }, - "r": { - "delete_cmd_postfix": ") ", - "delete_cmd_prefix": "rm(", - "library": "var_list.r", - "varRefreshCmd": "cat(var_dic_list()) " - } - }, - "types_to_exclude": [ - "module", - "function", - "builtin_function_or_method", - "instance", - "_Feature" - ], - "window_display": false - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/gp2_figure_1_land_use_topog_precip_winds.ipynb b/gp2_figure_1_land_use_topog_precip_winds.ipynb index ebcdd87..88868d3 100644 --- a/gp2_figure_1_land_use_topog_precip_winds.ipynb +++ b/gp2_figure_1_land_use_topog_precip_winds.ipynb @@ -5,8 +5,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:31.049509Z", - "start_time": "2018-05-16T16:19:28.776161Z" + "end_time": "2018-08-15T23:24:16.514212Z", + "start_time": "2018-08-15T23:24:13.385668Z" } }, "outputs": [], @@ -39,8 +39,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:31.080090Z", - "start_time": "2018-05-16T16:19:31.074832Z" + "end_time": "2018-08-15T23:24:16.528720Z", + "start_time": "2018-08-15T23:24:16.523077Z" } }, "outputs": [], @@ -53,8 +53,8 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:31.712132Z", - "start_time": "2018-05-16T16:19:31.119065Z" + "end_time": "2018-08-15T23:24:17.317560Z", + "start_time": "2018-08-15T23:24:16.536878Z" } }, "outputs": [], @@ -71,8 +71,8 @@ "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:31.782374Z", - "start_time": "2018-05-16T16:19:31.770264Z" + "end_time": "2018-08-15T23:24:17.338419Z", + "start_time": "2018-08-15T23:24:17.326208Z" } }, "outputs": [ @@ -100,11 +100,11 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 92, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:32.393193Z", - "start_time": "2018-05-16T16:19:32.383215Z" + "end_time": "2018-08-16T01:13:55.037582Z", + "start_time": "2018-08-16T01:13:55.025282Z" } }, "outputs": [], @@ -127,17 +127,18 @@ "modis_type_dict['14'] = 'cropland/natural veg. mosaic'\n", "modis_type_dict['15'] = 'snow and ice'\n", "modis_type_dict['16'] = 'barren or sparsely vegetated'\n", + "#modis_type_dict['17'] = 'water'\n", "#modis_type_dict['254'] = 'unclassified'\n", "#modis_type_dict['255'] = 'fill value'" ] }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 93, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:32.797815Z", - "start_time": "2018-05-16T16:19:32.791747Z" + "end_time": "2018-08-16T01:13:55.242618Z", + "start_time": "2018-08-16T01:13:55.234013Z" } }, "outputs": [], @@ -148,8 +149,13 @@ }, { "cell_type": "code", - "execution_count": 64, - "metadata": {}, + "execution_count": 101, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T01:17:45.463245Z", + "start_time": "2018-08-16T01:17:45.445422Z" + } + }, "outputs": [], "source": [ "human_cmap = mcm.YlOrRd_r #Purples\n", @@ -211,11 +217,11 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:34.145792Z", - "start_time": "2018-05-16T16:19:33.430909Z" + "end_time": "2018-08-15T23:24:56.612339Z", + "start_time": "2018-08-15T23:24:55.805258Z" } }, "outputs": [], @@ -251,11 +257,11 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:34.657662Z", - "start_time": "2018-05-16T16:19:34.365073Z" + "end_time": "2018-08-15T23:24:57.086312Z", + "start_time": "2018-08-15T23:24:56.620947Z" } }, "outputs": [], @@ -273,11 +279,11 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:38.191170Z", - "start_time": "2018-05-16T16:19:37.334233Z" + "end_time": "2018-08-15T23:25:00.391030Z", + "start_time": "2018-08-15T23:24:57.094899Z" } }, "outputs": [], @@ -298,11 +304,11 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:38.830883Z", - "start_time": "2018-05-16T16:19:38.435398Z" + "end_time": "2018-08-15T23:25:00.983345Z", + "start_time": "2018-08-15T23:25:00.399425Z" } }, "outputs": [], @@ -331,11 +337,11 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:40.545553Z", - "start_time": "2018-05-16T16:19:39.060583Z" + "end_time": "2018-08-15T23:25:05.156929Z", + "start_time": "2018-08-15T23:25:00.991801Z" } }, "outputs": [], @@ -356,11 +362,11 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:41.246463Z", - "start_time": "2018-05-16T16:19:40.784455Z" + "end_time": "2018-08-15T23:25:05.713725Z", + "start_time": "2018-08-15T23:25:05.165521Z" } }, "outputs": [], @@ -389,11 +395,11 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:42.767813Z", - "start_time": "2018-05-16T16:19:41.480252Z" + "end_time": "2018-08-15T23:25:08.796003Z", + "start_time": "2018-08-15T23:25:05.722115Z" } }, "outputs": [], @@ -414,11 +420,11 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 15, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:44.215259Z", - "start_time": "2018-05-16T16:19:43.009472Z" + "end_time": "2018-08-15T23:25:10.944382Z", + "start_time": "2018-08-15T23:25:08.804502Z" } }, "outputs": [], @@ -434,11 +440,11 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:44.498493Z", - "start_time": "2018-05-16T16:19:44.488244Z" + "end_time": "2018-08-15T23:25:10.960550Z", + "start_time": "2018-08-15T23:25:10.947203Z" } }, "outputs": [], @@ -452,11 +458,11 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 17, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:44.782504Z", - "start_time": "2018-05-16T16:19:44.773581Z" + "end_time": "2018-08-15T23:25:11.144369Z", + "start_time": "2018-08-15T23:25:10.963318Z" } }, "outputs": [ @@ -474,11 +480,11 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 18, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:19:45.074464Z", - "start_time": "2018-05-16T16:19:45.054826Z" + "end_time": "2018-08-15T23:25:11.416598Z", + "start_time": "2018-08-15T23:25:11.146978Z" } }, "outputs": [], @@ -497,11 +503,11 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 19, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:20:23.302935Z", - "start_time": "2018-05-16T16:19:45.352796Z" + "end_time": "2018-08-15T23:27:57.196978Z", + "start_time": "2018-08-15T23:25:11.425011Z" } }, "outputs": [ @@ -579,11 +585,11 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 20, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:20:51.038720Z", - "start_time": "2018-05-16T16:20:24.109541Z" + "end_time": "2018-08-15T23:29:26.433820Z", + "start_time": "2018-08-15T23:27:57.205625Z" } }, "outputs": [ @@ -658,11 +664,11 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 21, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:20:59.707426Z", - "start_time": "2018-05-16T16:20:51.922937Z" + "end_time": "2018-08-15T23:29:37.639543Z", + "start_time": "2018-08-15T23:29:26.442296Z" } }, "outputs": [ @@ -730,11 +736,11 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 22, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:21:00.310821Z", - "start_time": "2018-05-16T16:21:00.286704Z" + "end_time": "2018-08-15T23:29:37.671598Z", + "start_time": "2018-08-15T23:29:37.648161Z" } }, "outputs": [], @@ -749,11 +755,11 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 23, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:21:00.816412Z", - "start_time": "2018-05-16T16:21:00.801099Z" + "end_time": "2018-08-15T23:29:37.813141Z", + "start_time": "2018-08-15T23:29:37.680078Z" } }, "outputs": [], @@ -775,11 +781,11 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 24, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:21:01.478673Z", - "start_time": "2018-05-16T16:21:01.305789Z" + "end_time": "2018-08-15T23:29:38.081756Z", + "start_time": "2018-08-15T23:29:37.821689Z" } }, "outputs": [], @@ -797,21 +803,21 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 25, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:21:02.396485Z", - "start_time": "2018-05-16T16:21:01.970824Z" + "end_time": "2018-08-15T23:29:38.468363Z", + "start_time": "2018-08-15T23:29:38.090432Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 36, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" }, @@ -832,11 +838,11 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 26, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T16:21:10.848982Z", - "start_time": "2018-05-16T16:21:02.887315Z" + "end_time": "2018-08-15T23:29:47.586368Z", + "start_time": "2018-08-15T23:29:38.476582Z" } }, "outputs": [ @@ -850,7 +856,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -1053,7 +1059,7 @@ "quiver_key_text = ax3.text(s=str(quiver_key_scale)+' m s$^{\\,-1}$', x=0.94, y=1.006, \\\n", " transform=ax3.transAxes, fontsize=fontsize, ha='right', va='bottom')\n", "\n", - "mp.savefig('figure1_land_use_precipitation_winds.png', dpi=300, bbox_inches='tight', transparent=True)" + "mp.savefig('figures/figure1_land_use_precipitation_winds.png', dpi=300, bbox_inches='tight', transparent=True)" ] }, { @@ -1144,11 +1150,11 @@ }, { "cell_type": "code", - "execution_count": 117, + "execution_count": 103, "metadata": { "ExecuteTime": { - "end_time": "2018-05-16T17:53:45.383169Z", - "start_time": "2018-05-16T17:53:41.639869Z" + "end_time": "2018-08-16T01:19:18.377740Z", + "start_time": "2018-08-16T01:19:13.059523Z" } }, "outputs": [ @@ -1162,9 +1168,9 @@ }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -1174,14 +1180,26 @@ "source": [ "fontsize = 12\n", "\n", - "fig = mp.figure(figsize=(8.5,6.75))\n", + "fig = mp.figure(figsize=(8.5,6.))\n", + "\n", + "# gs = matplotlib.gridspec.GridSpec(2,8,\\\n", + "# width_ratios = [1]*8, \n", + "# height_ratios = [1.333,1])\n", + "# ax1 = mp.subplot(gs[0,0:6], projection=cartopy.crs.PlateCarree())\n", + "# ax2 = mp.subplot(gs[1,0:4], projection=cartopy.crs.PlateCarree())\n", + "# ax3 = mp.subplot(gs[1,4:8], projection=cartopy.crs.PlateCarree())\n", + "\n", + "# fig = mp.figure(figsize=(8.5,5.5))\n", + "# ax1 = fig.add_subplot(221, projection=cartopy.crs.PlateCarree())\n", + "# ax2 = fig.add_subplot(223, projection=cartopy.crs.PlateCarree())\n", + "# ax3 = fig.add_subplot(224, projection=cartopy.crs.PlateCarree())\n", "\n", - "gs = matplotlib.gridspec.GridSpec(2,8,\\\n", - " width_ratios = [1]*8, \n", - " height_ratios = [1.5,1])\n", - "ax1 = mp.subplot(gs[0,0:5], projection=cartopy.crs.PlateCarree())\n", - "ax2 = mp.subplot(gs[1,0:4], projection=cartopy.crs.PlateCarree())\n", - "ax3 = mp.subplot(gs[1,4:8], projection=cartopy.crs.PlateCarree())\n", + "gs = matplotlib.gridspec.GridSpec(2,2,\\\n", + " width_ratios = [1,1], \n", + " height_ratios = [1.325,1])\n", + "ax1 = mp.subplot(gs[0,0], projection=cartopy.crs.PlateCarree())\n", + "ax2 = mp.subplot(gs[1,0], projection=cartopy.crs.PlateCarree())\n", + "ax3 = mp.subplot(gs[1,1], projection=cartopy.crs.PlateCarree())\n", "\n", "levels = numpy.arange(-20,21,5)\n", "ax1.gridlines(ylocs=[0], color='0.25')\n", @@ -1241,9 +1259,27 @@ " headaxislength=quiver_head_axis_length, \\\n", " zorder=3)\n", "\n", - "fig.tight_layout()#h_pad=-5)\n", + "ax1.set_xticks([-360+240,-360+260,-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-30,-15,0,15,30])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$240$'+DEGREE_SIGN,'$260$'+DEGREE_SIGN,'$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-30$'+DEGREE_SIGN,'$-15$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$15$'+DEGREE_SIGN,'$30$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+220,-360+240,-360+260,-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-30,-15,0,15,30])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$220$'+DEGREE_SIGN,'$240$'+DEGREE_SIGN,'$260$'+DEGREE_SIGN,'$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-30$'+DEGREE_SIGN,'$-15$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$15$'+DEGREE_SIGN,'$30$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+220,-360+240,-360+260,-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-30,-15,0,15,30])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$220$'+DEGREE_SIGN,'$240$'+DEGREE_SIGN,'$260$'+DEGREE_SIGN,'$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels([])\n", + "\n", + "fig.tight_layout(h_pad=2)\n", "\n", - "fraction = 0.964\n", + "fraction = 0.93#0.96\n", "ax_pos = ax1.get_position()\n", "cbar_ax = fig.add_axes([ax_pos.x1+0.02,ax_pos.y0+(1-fraction)/2*ax_pos.height,0.0325,ax_pos.height*fraction])\n", "cbar = fig.colorbar(land_use_map, cax=cbar_ax, drawedges=True)\n", @@ -1253,7 +1289,7 @@ "cbar.set_ticklabels(type_name)\n", "cbar.ax.tick_params(labelsize=fontsize, length=0)\n", "\n", - "cbar_orog_ax = fig.add_axes([ax_pos.x0+0.057,ax_pos.y0+0.08,0.04,ax_pos.height*0.4])\n", + "cbar_orog_ax = fig.add_axes([ax_pos.x0+0.05,ax_pos.y0+0.07,0.04,ax_pos.height*0.4])\n", "cbar_orog = fig.colorbar(contour_orog, cax=cbar_orog_ax)\n", "cbar_orog_ax.tick_params(labelsize=fontsize)#, length=0)\n", "cbar_orog.set_label('m', fontsize=fontsize)\n", @@ -1266,39 +1302,22 @@ "\n", "ax_l = ax2.get_position()\n", "ax_r = ax3.get_position()\n", - "cbar_ax = fig.add_axes([ax_l.x0,ax_l.y0-0.05,(ax_r.x1-ax_l.x0),0.03])\n", + "cbar_ax = fig.add_axes([ax_l.x0,ax_l.y0-0.1,(ax_r.x1-ax_l.x0),0.03])\n", "cbar = mp.colorbar(contour_plot1, cax=cbar_ax, orientation='horizontal')\n", "cbar.ax.tick_params(labelsize=fontsize)\n", "cbar.set_label('mm day$^{\\,-1}$', fontsize=fontsize)\n", "cbar.add_lines(contour_lines3)\n", "\n", - "quiver_key = ax2.quiverkey(quiver_plot1, X=1.0, Y=1.06, labelpos='E', label='', \\\n", - " U=quiver_key_scale, coordinates='axes')\n", - "quiver_key = ax3.quiverkey(quiver_plot4, X=1.0, Y=1.06, labelpos='E', label='', \\\n", + "# quiver_key = ax2.quiverkey(quiver_plot1, X=1.0, Y=1.06, labelpos='E', label='', \\\n", + "# U=quiver_key_scale, coordinates='axes')\n", + "quiver_key = ax3.quiverkey(quiver_plot4, X=0.94, Y=1.15, labelpos='E', label='', \\\n", " U=quiver_key_scale, coordinates='axes')\n", - "quiver_key_text = ax2.text(s=str(quiver_key_scale)+' m s$^{\\,-1}$', x=0.94, y=1.006, \\\n", - " transform=ax2.transAxes, fontsize=fontsize, ha='right', va='bottom')\n", - "quiver_key_text = ax3.text(s=str(quiver_key_scale)+' m s$^{\\,-1}$', x=0.94, y=1.006, \\\n", + "# quiver_key_text = ax2.text(s=str(quiver_key_scale)+' m s$^{\\,-1}$', x=0.94, y=1.006, \\\n", + "# transform=ax2.transAxes, fontsize=fontsize, ha='right', va='bottom')\n", + "quiver_key_text = ax3.text(s=str(quiver_key_scale)+' m s$^{\\,-1}$', x=1, y=1.02, \\\n", " transform=ax3.transAxes, fontsize=fontsize, ha='right', va='bottom')\n", "\n", - "mp.savefig('manuscript_figure1_land_use_precipitation_winds.png', dpi=300, bbox_inches='tight', transparent=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 120, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "amazon-phys-response-paper cesm2-analysis DATA_npy modis-analysis\r\n" - ] - } - ], - "source": [ - "!mv *.png figu" + "mp.savefig('figures/manuscript_figure1_land_use_precipitation_winds.png', dpi=300, bbox_inches='tight', transparent=True)" ] }, { diff --git a/gp3_ACM2_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb b/gp3_ACM2_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb new file mode 100644 index 0000000..44ff3b4 --- /dev/null +++ b/gp3_ACM2_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb @@ -0,0 +1,1614 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:53:03.632473Z", + "start_time": "2018-08-16T19:53:01.429614Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import matplotlib.colors\n", + "import pandas\n", + "import matplotlib.patches\n", + "import netCDF4\n", + "import glob\n", + "import cmocean\n", + "\n", + "import mpl_toolkits\n", + "import cartopy\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:53:03.646898Z", + "start_time": "2018-08-16T19:53:03.641280Z" + } + }, + "outputs": [], + "source": [ + "run_info = 'FMAASO'\n", + "skip_time = 24" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 400 data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:53:03.883984Z", + "start_time": "2018-08-16T19:53:03.655042Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_ACM2_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:53:14.051029Z", + "start_time": "2018-08-16T19:53:03.892660Z" + } + }, + "outputs": [], + "source": [ + "cont_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:57:02.020243Z", + "start_time": "2018-08-16T19:53:14.059540Z" + } + }, + "outputs": [], + "source": [ + "rainc_400 = cont_mfds['RAINC'].values\n", + "rainnc_400 = cont_mfds['RAINNC'].values\n", + "qvapor_400 = cont_mfds['QVAPOR'].values\n", + "lh_400 = cont_mfds['LH'].values\n", + "\n", + "pblh_400 = cont_mfds['PBLH'].values\n", + "t2_400 = cont_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:57:29.929944Z", + "start_time": "2018-08-16T19:57:02.028615Z" + } + }, + "outputs": [], + "source": [ + "ecan_400 = cont_mfds['ECAN'].values*86400. # mm/day\n", + "edir_400 = cont_mfds['EDIR'].values*86400.\n", + "etran_400 = cont_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:58:14.222541Z", + "start_time": "2018-08-16T19:57:29.938364Z" + } + }, + "outputs": [], + "source": [ + "time = cont_mfds['Times'].values\n", + "xlat = cont_mfds['XLAT'].values[0,:,:]\n", + "xlong = cont_mfds['XLONG'].values[0,:,:]\n", + "landmask = cont_mfds['LANDMASK'].values[0,:,:]\n", + "landmask_midpoints = landmask[1:,1:]" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:01:33.335331Z", + "start_time": "2018-08-15T03:01:32.397070Z" + } + }, + "source": [ + "prw_400 = numpy.load('DATA_prw_400.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 1000 data" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:58:14.244431Z", + "start_time": "2018-08-16T19:58:14.230874Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_ACM2_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout*.nc')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T19:58:24.008697Z", + "start_time": "2018-08-16T19:58:14.252444Z" + } + }, + "outputs": [], + "source": [ + "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:01:54.769000Z", + "start_time": "2018-08-16T19:58:24.017095Z" + } + }, + "outputs": [], + "source": [ + "rainc_1000 = phys_mfds['RAINC'].values\n", + "rainnc_1000 = phys_mfds['RAINNC'].values\n", + "qvapor_1000 = phys_mfds['QVAPOR'].values\n", + "lh_1000 = phys_mfds['LH'].values\n", + "\n", + "pblh_1000 = phys_mfds['PBLH'].values\n", + "t2_1000 = phys_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:02:22.538999Z", + "start_time": "2018-08-16T20:01:54.777522Z" + } + }, + "outputs": [], + "source": [ + "ecan_1000 = phys_mfds['ECAN'].values*86400. # mm/day\n", + "edir_1000 = phys_mfds['EDIR'].values*86400.\n", + "etran_1000 = phys_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:02:17.264099Z", + "start_time": "2018-08-15T03:03:23.232Z" + } + }, + "source": [ + "prw_1000 = numpy.load('DATA_prw_1000.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# get time stamps" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:02:22.563683Z", + "start_time": "2018-08-16T20:02:22.547437Z" + } + }, + "outputs": [], + "source": [ + "time_datetimes = pandas.to_datetime([i.decode('utf-8') for i in time], format = '%Y-%m-%d_%H:%M:%S')" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:02:22.672262Z", + "start_time": "2018-08-16T20:02:22.571878Z" + } + }, + "outputs": [], + "source": [ + "skip_time = 24\n", + "n_intervals = 8\n", + "hour_strings = ['00','03','06','09','12','15','18','21']\n", + "\n", + "times_00 = [t.hour in [23,0,1] for t in time_datetimes[skip_time:]]\n", + "times_03 = [t.hour in [2,3,4] for t in time_datetimes[skip_time:]]\n", + "times_06 = [t.hour in [5,6,7] for t in time_datetimes[skip_time:]]\n", + "times_09 = [t.hour in [8,9,10] for t in time_datetimes[skip_time:]]\n", + "times_12 = [t.hour in [11,12,13] for t in time_datetimes[skip_time:]]\n", + "times_15 = [t.hour in [14,15,16] for t in time_datetimes[skip_time:]]\n", + "times_18 = [t.hour in [17,18,19] for t in time_datetimes[skip_time:]]\n", + "times_21 = [t.hour in [20,21,22] for t in time_datetimes[skip_time:]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PRW differences" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:05:23.557774Z", + "start_time": "2018-08-15T03:05:23.354091Z" + } + }, + "source": [ + "prw_diffs = prw_1000-prw_400\n", + "prw_diffs_time_mean = numpy.mean(prw_diffs[skip_time:,:,:], axis=0)\n", + "prw_400_time_mean = numpy.mean(prw_400[skip_time:,:,:], axis=0)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PBLH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:02:23.258840Z", + "start_time": "2018-08-16T20:02:22.680809Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:11: RuntimeWarning: Mean of empty slice\n", + " # This is added back by InteractiveShellApp.init_path()\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:12: RuntimeWarning: Mean of empty slice\n", + " if sys.path[0] == '':\n" + ] + } + ], + "source": [ + "pblh_diffs = pblh_1000-pblh_400\n", + "pblh_diffs_time_mean = numpy.mean(pblh_diffs[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean = numpy.mean(pblh_400[skip_time:,:,:], axis=0)\n", + "\n", + "pblh_diffs_landmask = numpy.copy(pblh_diffs)\n", + "pblh_diffs_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_400_landmask = numpy.copy(pblh_400)\n", + "pblh_400_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_diffs_time_mean_landmask = numpy.nanmean(pblh_diffs_landmask[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean_landmask = numpy.nanmean(pblh_400_landmask[skip_time:,:,:], axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# LH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:02:23.335519Z", + "start_time": "2018-08-16T20:02:23.267100Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "lh_diffs_time_mean = numpy.mean(lh_1000[skip_time:,:,:] - lh_400[skip_time:,:,:], axis=0)\n", + "lh_diffs_time_mean_landmask = numpy.copy(lh_diffs_time_mean)\n", + "lh_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "lh_400_time_mean = numpy.mean(lh_400[skip_time:,:,:], axis=0)\n", + "lh_400_time_mean_landmask = numpy.copy(lh_400_time_mean)\n", + "lh_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# RAINTOT differences" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:02:24.014782Z", + "start_time": "2018-08-16T20:02:23.344197Z" + } + }, + "outputs": [], + "source": [ + "raintot_400 = rainc_400+rainnc_400\n", + "raintot_1000 = rainc_1000+rainnc_1000\n", + "\n", + "raintot_400_diff = numpy.zeros((raintot_400.shape))*numpy.nan\n", + "raintot_400_diff[:-1,:,:] = numpy.diff(raintot_400, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "raintot_1000_diff = numpy.zeros((raintot_1000.shape))*numpy.nan\n", + "raintot_1000_diff[:-1,:,:] = numpy.diff(raintot_1000, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "# monthly mean\n", + "raintot_diffs_time_mean = numpy.nanmean(raintot_1000_diff[skip_time:,:,:] - raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_diffs_time_mean_landmask = numpy.copy(raintot_diffs_time_mean)\n", + "raintot_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "raintot_400_time_mean = numpy.nanmean(raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_400_time_mean_landmask = numpy.copy(raintot_400_time_mean)\n", + "raintot_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# T2 differences" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:02:24.094302Z", + "start_time": "2018-08-16T20:02:24.023380Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "t2_diffs_time_mean = numpy.mean(t2_1000[skip_time:,:,:] - t2_400[skip_time:,:,:], axis=0)\n", + "t2_diffs_time_mean_landmask = numpy.copy(t2_diffs_time_mean)\n", + "t2_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "t2_400_time_mean = numpy.mean(t2_400[skip_time:,:,:], axis=0)\n", + "t2_400_time_mean_landmask = numpy.copy(t2_400_time_mean)\n", + "t2_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ECAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:02:24.181587Z", + "start_time": "2018-08-16T20:02:24.102878Z" + } + }, + "outputs": [], + "source": [ + "ecan_diffs_time_mean = numpy.mean(ecan_1000[skip_time:,:,:] - ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_diffs_time_mean_landmask = numpy.copy(ecan_diffs_time_mean)\n", + "ecan_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "ecan_400_time_mean = numpy.mean(ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_400_time_mean_landmask = numpy.copy(ecan_400_time_mean)\n", + "ecan_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ETRAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:02:24.292984Z", + "start_time": "2018-08-16T20:02:24.190164Z" + } + }, + "outputs": [], + "source": [ + "etran_diffs_time_mean = numpy.mean(etran_1000[skip_time:,:,:] - etran_400[skip_time:,:,:], axis=0)\n", + "etran_diffs_time_mean_landmask = numpy.copy(etran_diffs_time_mean)\n", + "etran_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "etran_400_time_mean = numpy.mean(etran_400[skip_time:,:,:], axis=0)\n", + "etran_400_time_mean_landmask = numpy.copy(etran_400_time_mean)\n", + "etran_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# EDIR differences" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:02:24.457094Z", + "start_time": "2018-08-16T20:02:24.301399Z" + } + }, + "outputs": [], + "source": [ + "edir_diffs_time_mean = numpy.mean(edir_1000[skip_time:,:,:] - edir_400[skip_time:,:,:], axis=0)\n", + "edir_diffs_time_mean_landmask = numpy.copy(edir_diffs_time_mean)\n", + "edir_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "edir_400_time_mean = numpy.mean(edir_400[skip_time:,:,:], axis=0)\n", + "edir_400_time_mean_landmask = numpy.copy(edir_400_time_mean)\n", + "edir_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:02:24.988947Z", + "start_time": "2018-08-16T20:02:24.467665Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.pcolormesh(raintot_diffs_time_mean_landmask,vmin=-0.01,vmax=0.01,cmap=cmocean.cm.balance_r)\n", + "mp.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:02:34.776746Z", + "start_time": "2018-08-16T20:02:24.997482Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-0.5,0.51,0.125)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#dry_lon_lo, dry_lon_hi, dry_lat_lo, dry_lat_hi = -60,-50,-10,10\n", + "#wet_lon_lo, wet_lon_hi, wet_lat_lo, wet_lat_hi = -80,-75,-10,10\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "# levels = numpy.arange(-.75,.76,0.125)\n", + "# ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "# ax6.gridlines(ylocs=[0], color='0.25')\n", + "# ax6.coastlines(resolution='110m')\n", + "# contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + "# levels=levels, \\\n", + "# cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "# ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "# ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "# ax6.set_yticks([-20,-10,0,10])\n", + "# ax6.tick_params(labelsize=fontsize)\n", + "# ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "# ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "# title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "# ax6.text(s='mm', x=0.05, y=0.03, \\\n", + "# ha='left', va='bottom', \\\n", + "# fontsize=fontsize, \\\n", + "# transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "# bbox_position = ax6.get_position()\n", + "# cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "# cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "# #cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "# cbar_axes.tick_params(labelsize=fontsize)\n", + "# cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('figures/ACM2_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:25:45.666756Z", + "start_time": "2018-08-16T20:25:45.658935Z" + } + }, + "outputs": [], + "source": [ + "xlat_indices = (xlat>=-10) & (xlat<=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:31:41.519023Z", + "start_time": "2018-08-16T20:31:41.283452Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:6: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0,0.5,'mm day$^{\\\\,-1}$')" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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PoPn5wS7JGBOCAhlJtgLGAYmqeqWq/l1V00RkpLt8H3BJqVVYhuISE2n/pz+RvnQpv779drDLMcaEoBPddNefZ4A/AXeIHP2UYjRwOvC6quYC80unvLLX+Kqr2Pnll6x58UUKcnJoOWwYUfHxwS7rpGhBAWkpKWyaOpW0774jukYNYhMTia1bl7jERGLr1SOxe3fqdu0a7FKNqbBES3izBxGZD/wA5AHtcHa3RwL3qeq3pV5hGejcubMuWrTo6HROejo/P/wwu2bNIq5+fZLvvJPGV11FdEIC4IRRxn//i4hQLTk5JEI089dfWThiBIc2bSKmTh0aXXYZBTk5ZO/ZQ1ZaGtlpaWTv2QNAlzffpH6vXsEt2JggEZHFqto54PUDCMmDQE2gETBRVS8WkQ7Aa6raPdBCylPRkCy0d9EiVj7zDBk//0xETAz1e/cmOiGBXd9+S87evU4jEaomJVG9TRuqt25NteRkImNjAYhKSKD22WcjEWV7jf7h7duZf8MNFOTm0v6RR2jYrx8RMTHHtcvNzOTHm28m89dfOX/SJGqfc06Z1mVMKApGSG4CrgRW4DwgrDlQBditqtUCLaSY9+oH/A0nkD8HhqlqZknbFFVcSAKoKhnLlrH9s8/Y/vnnFGRnU69HD+r37UtkbCwHVq8++jq8Zctx61dLTqbViBE0vuoqIqKjA+m2p6y0NH648UZy0tO54L33qN6mjWf77D17mD9wIDl793LB++9TvXWFuqTVmFMWjJAcBrwMdAH+gHMZUCRwQFUvC7QQP+9TC/gVuA2YB0wAtqvqPSVp449XSPrSggK0oICIKP+HbvMOHeLQpk1Hz4xnrl/Pr2+9RebatcQ1bMhpw4bR7MYbiapS5SR6fGKZ69ez6M47ObJtG+dNmkTts88+qfUOb9/O/AEDiKxShR4zZoTE4QJjyku5h6T7pglA4UdVbsEJycmqeijQQvy8xxBgsKr2cafPAT5X1QYlaePPyYZkIFSV1LlzWf/mm+xbuJDomjVpeu211L3gAuqcey5RVauWfJsFBWycNIlVzz9PVNWqnPPyy9S94IISbWPPjz/y46BBJA0ezJmPPVbiGoypqIISkuVBRP4CFKjqGHc6FsgCElT14Mm28adWrVrau3fvY+ZdeeWVDB06lCNHjjB48ODj1hkwYAA33ngj+/btY8SIEcctHzx4MFdffTXbt2/n7rvvBpxjgkd27iQ3I4M+ERF0jI0lo25dJu7dS0R0NFFVqxJdvTpR1aox6ve/5/xOnfh5wQKefOEF8g8fJj87m4KcHApycrgqP5/zL76YvIEDefHNN497/8cee4z27dvz3Xff8corrxy3/NlnnyX7gw+Y/tZb/NSqFTE1ax6z/OWXX6Zx48Z8+umnTJ48+bj1J0yYQO3atfnggw/46KOPjls+efJk4uPjmThxIjNnzjxu+bRp0wAYP34833zzzTHL4uLimDJlCgAvvvgi8+cfe3FErVq1eOuttwAYN24cixcvPmZ5w4YNefXVVwF49NFHWbny2GfXtWzZkueffx6ABx54gA1FPjzQrl07nnjiCQBGjRrFzp07j1l+zjnn8NBDDwEwfPhw0tPTj1nerVs37r33XgAGDRpEVpHb8PXp04fbb78dgOuvv56iyuJnz9eIESO45JJLWL9+PWPHHn8J81133UWPHj1Yvnw5j/n5A/rggw/SpUsXFi5cyHPPPXfc8pP52WvVqhWzZs1iwoQJxy0vi5+9/KwsslJTiYiJ4Yv5808pJE/6EiAROQJ4Jqqqls5+paM6zjHPwm1ni0ieO/9gCdoAICIjgBEAVQMYzQUiOiGB6IQEtKCA1j17clpuLutWrUIWLKAgO5vDGRmwbRuI8J9hw8iMjGRrQQGZubmICBGxsURERxNZpQqtbr6Zcx94gFMZAbcZPZq4zz/n4IYN1OzQodjDCMZUVLmZmRzZsYOcjIxSe0zLSY8kRaS5++UdOJf+PAHswDlx8zDwlaq+VipVOe/3ApCjqn9wp2OAbKCKqh452Tb+lOXudknkZGSw9z//Yf+KFUTExBBVtSoxtWuTkJxMtZYtj541L037V6wg5brrqN66NV3feYfYOnVK/T2MKW9Zqamseu45tk2fTkydOiTddBNNBwxg2QMP0G3q1HI/cZMGnKaqB3zm1QRWqWrDQAvx8z7DgP6qerU73RH4SFVPL0kbf0IlJINl95w5LPr974lv3Jjz/vEPqjRqFOySjCkRzc9n2/Tp7F++nIMbN7JvyRI0N5eWw4aRfMcdR4/956SnE1u79imFZCAX9OUDZxSZ19qdX5qmA91FpLt7FvsZYGoAbUwR9S+6iPMmTSI7LY35Awawe84cQvXYtDH+rHvjDZY98ABbPv6YnPR0Gl1+Ob2+/JK2o0cfc3I0platU38zVS3RCxgOpONcbvNH99+9wNCSbusk3usqnBtpHATeBWJxzqav92pzou2ec845alQzVqzQb3r10s9attSU66/XtAULgl2SqQQKCgo0/eefNTsjI6D19y1ZojOSk3XxPfdoQUHBCdsDi/QUcijQS4BOA24EmgC7gY9VdXmgQV3eKvvutq+C3Fy2fPQR6/72N7J27yaxe3fa3H8/Nc88M9ilVSq7Z89m3euvU+vss6nXowe1u3Qpk2PSwZaVmsrPDz1E6ty5Rz/V1vDSS5GoKPIPHiQqIYEGffogkZF+18/NzOS7/v3RggJ6zpx59KPDXsL2EqCyZCF5vPysLDZNmcK68ePJTU+nXs+e1LvoIhIvvJCqSUn43MzElLIDq1fz/YABRFWpQu6BAxTk5FClaVMunDaN2Lp1g13eKcnPziZz3TpyMzI4tHkzq198kfzDhzl91Ciy09LYPmMGOfv2HbNOwumn0+6hh6jXo8cx8w9v387KcePY+fXXdHvvPWp3Prncs5AMgIVk8XIzM9nw7rts/fhjjmzbBkCN9u1pO2YMiRdeGOTqwk/2nj2kXHstmpdH9+nTiapWjdR581g6ejQ12rXj/ClTKuyIUlWZP2AA6UuXHp1X48wz6fSXv5Bw2mkAFOTkcGD1asS9bnj/8uWseuEFDm/ZQrVWrYhr0IDYOnXIXLuWA6tWAdDm/vtJHjnS73v6YyEZAAvJE1NVDm/eTOq8efz6zjsc2baNuhdcQJv77qNWp07BLi8s5GZm8p/hw8n45Re6vf8+NTt0OLpsxxdfsHjUKJpedx0dn3uuQo7kU+fN46fbbiN55EgSe/QgplYtqrVoUeyudKH87Gw2v/cee374gew9e8jes4f4Ro1o0KcPDfr0oWpSUonqsJAMgIVkyeRnZ7N56lTWvvYauenp1D3/fFrdcQd1L7igQv7yBlt+drZzaOONN8jNyODsF1+k8VVXHdduzUsvsfbVVznjj3+k5a23BqHSU/PDTTdxaPNmes+Z4/cuVeUlmJ/drk+RS4hUdW2ghZQnC8nA5B06xOb33+fXv/+d7NRUqrZoQZPf/IYmv/kNVZo0CXZ5FcKub75h+eOPc2THDuck2ejR1Gzf3m9bLShg4R13kJaSQq8vv6Rq8+Z+24Wi9J9/5vtrr6XdQw9x2u9+F9RagnEXoNHA0zgP/vIdRqiq1gu0kPJkIXlq8rOz2TFjBlv/9S/2/vQTRETQ7sEHaTlsmI0si3Fk1y6WP/EEu77+moTkZM545BESu3U7qfXm9utHrU6d6PruuxXm+7tw5Ej2/vgjfVJSiKpWqndQLLFTDclALiYfA3RU1XqqmujzqhABaU5dZGwsTa+/ngumTqX3vHk0vOQSVo4bx7LRo8nPzg52eSFn95w5zLv8clLnzqXNmDH0+OyzkwpIgPgGDWh9772kpaSw84svyrjS0nFwwwZ2zZpF85tvDnpAloZAQnI3UOznok3lUqVJE8559VVa33MP26ZPZ/6AAaR+9519ggdnd3nNyy/zn+HDiW/UiJ6ff07y7beX+Phci8GDqXHGGSx/6ilyMz3vJx0SNk6aRER0NC2HDg12KaUikJD8AzBPRP4sIo/6vkq7OFMxSEQEp48aRec33iB7715+uvVWUq6+mm2ffUbe4cPBLi8oslJT+em221j7yis0ueYaun30EdVatAhoWxIZSYenniI7LY01f/1rKVdaulSVXd98Q72ePSv8NZ6FAgnJh4FdQALQsMjLVGINL7mE3nPm0HHcOPIOHWLpvfcy69xzWXzXXez54Ydgl1dudn79NXMvv5y9CxfS4amnOOv550/5bvA1O3QgadAgNk6eTMYvv5RSpaUvc+1asnbupN5FFwW7lFIT6IPA6qlqhR0i2Imbsqf5+exdtIgdM2ey86uvyNm3z7nOcvRoanXsGOzyStWhzZvZ8O67HNq0icNbtnBo82ZqnHEGnV588ehF06UhNzOTOX37ElevHt0/+eSE1xsGw7rx41n9wgv0/eEH4urXD3Y5QHDObv8NWKGqbwT6psFmIVm+Cq+zXPf66+Ts20eDvn1pc999JJzueUe7Upfxyy+kpqSwb+FC9q9YQdWkJOp07Urd88+nTteuAd2EODUlhSV33UVBbi7VWrWiatOm1OzYkRa33FIm1wZunzmTJXffTftHH6XFkCGlvv1TNf/GG8k7coSen30W7FKOCkZIrgDa4twJKBWfu5WrartACylPFpLBkXfwIBsmTuTXt94i79AhGvfvT51zzyW+USOqJiVRtVmzMnnffUuWsObll9nz/feA89ngGu3bc2jjRjJ++QXNzye2bl0aXXUVTa+7jhpt255wm1pQwIZ33mHlc8+RkJxMl/Hjy6z+Y95XlZ9uvZX0pUvp9dVXxDcMnaNcORkZfN2lC8l33EGb++4LdjlHBSMkewI1cC4mL7xoS3Cukzz+ARYhyEIyuHLS01n/5ptsnDyZAp/nwdTp2pUWQ4Z43gWmJPIOHeLnsWPZ8cUXxNSuTasRI2h6/fXH3GMw79Ah0ubPZ9v06eyePRvNzaVO166cNnw49Xr2PO4Z6qrKrlmzWPPSS2SuXUvDSy91jjmW0yNBwNm9n3fllVRt0YJuU6eGzGU22z/7jCX33suF06aF1EdXg3kx+YEii+xiclMiBXl5ZKWmcmTHDtKXLGHTlCkc2b6daqedRufXXyehVauAt314xw4WjhjBgTVraH3XXbS87bYTBllOejpbp01jw8SJZO3aRVRCArG1axNdsyYSEUFBTg45GRkc2b6dqi1b0vquu2h0xRXHBWl52D13LgtHjKDuBRdw7oQJQf3YX6El991HWkoKlyxYEFLHS4MRkruBnqq6OtA3DTYLydBUkJfHrlmz+O9jj1GQnc3ZL71E/QDOkqYvXcrC228nPyuLc155hXo9e5asjtxcdnz5JemLF5O7fz85GRloQQGRsbFExMZS/+KLady/f9AfpLZl2jR+fvBBmlxzDWe98ILfT+Mc2bWLze+9h+bmUrtLF2p37nxS92AsKc3P5+uuXanfsyed/vKXUt/+qTjVkAzkf9kuJjdlIiIqikaXX07Ns85i4f/9H/8ZPpzTR43itN/97qR2Z1WVTVOmsOLpp4lv2JDzp0whITm55HVER9Okf3+a9O8fSDfKTbPrrydr507WvPQScQ0a0Hb06KPLDm7cyLrXXmP7jBloQQESGcn6N990rrl85hma+Xm07alIX7bMuQ9pGF36UyiQkCy8mHwaRXa5VfWJUqnKVGpVGjWi2wcf8MvDD7P2lVfYOHkyrYYPp/lNNxU7CsrZv5/lTzzB9unTqXfRRXT6y1+IqVGjnCsvf8l33smRXbtY/8YbxDdoQNKgQez44guWjR0LqiTdfDMtb72VmLp1yVi6lNUvvcTKp5+m/sUXE1u7dqnVkTpvHkREkNi9e6ltM1QEsrv9I86Jmp+BAt9lqnpH6ZVWdmx3u+JIX7aMta+8Quq8eUTGx9OwXz+aXHst8Y0aofn5ZO/Zw9Zp09jxxRcU5OTQ+p57SB45MijHCYOlIC+PRSNHsnv2bBr268fOr76iVqdOnPPqq8ed/c5ct455V1xBs4ED6fBE6Y1pUq65BomK4sKPPiq1bZaWYByTtIvJTbnL+OUXtnz4IdtnziSvyOeXo6pVo/HVV5N0001Ub9MmSBUGV97hw/w4eDAZy5bwI5jIAAAOUUlEQVSRNHgwZzz8cLEnc5Y//jgbp0yh58yZVG/d+pTfO3vfPmadey6t776b00eNOuXtlTa7mDwAFpIVV35WFmkpKeQdPoxERhIZF0fd888v10twQlVuZiYH168/4eU3ORkZzO7dmxpt23Le5MmnfPu17TNmsOSee7jw44+pddZZp7StshCMEzcXASNF5Ckq6MXkpuKKjIujQd++wS4jJEUnJJzU9YkxNWvS+u67Wf7446TOnRvQFQS+0lJSiK5RI2yfsBlISJ78E3iMMSGp+W9/y/o332TD22+fUkiqKmnff0/dbt1C6trI0lTikFTVeWVRiDGm/ERER9PilltY9fzz7F+16qQ+iulP5tq1ZO3eTb0wPKtdqPKcAjTGHKPZwIFExsez4Z13At5G2nffAYTlpT+FLCSNqaRiatSg6fXXs33GDLJSUwPaRmpKCtWSk0PqRhulzULSmEqs5dChaF4em6ZMKfG6eUeOsG/hwrDe1QYLSWMqtapJSdTv3ZtNU6eS73NHppOxd8ECCnJywnpXGywkjan0km6+mdz0dNLmzy/RervnzCGyShXqdO1aRpWFBgtJYyq5uuedR1S1auz+5puTXkdV2T17NonduhEZG1uG1QWfhaQxlVxETAz1evRwbjpcUHDiFYDMNWvI2rmT+hdfXMbVBZ+FpDGG+n36kL1nz0k/iXH37NkA1OvVqwyrCg0WksYY51EVkZHsOsld7t2zZ1OzQwfi6lWIhxGckpANSRHpJyLrROSQiHwoIn5vJCgi80Qky+cV+JWxxlRSMTVrUrtz56MjRC/Ze/eSvmxZpdjVhhANSRGpBbwHjAGa4Ny/8slimrcEaqhqnPu6rZzKNCas1O/Th8w1azi8datnu9S5c0E1LO9C7k9IhiTQH1iiqtNVNR14FhhYtJGIxAF5qppd3gUaE24a9O4NwK5vv/Vst3vOHOLq16fGGWeUR1lBF6oh2QFY6jO9HKgvIkWfnZkExIjIEhHZJyKfiEiD8irSmHBStXlzqiUns9sjJPOzs0lLSaFer16nfB/KiiJUQ7I6sL9wwh0p5rnzfdUCVgKDcAJzPzC5fEo0Jvw07NuXvT/9xOEdO/wu3/n11+QdPEjDyy4r58qCJ6ghKSIPi0he0RfOLdzifdrFuPPSfddX1R9Vta+qrlTVA8Bo4GIRiacIERkhIotEZFFaWlrZdsyYCqrZwIGoKpv/+U+/yzdNmULV5s1J7NatnCsLnqCGpKo+o6pRRV/A90B7n6ZtgXWqesyjbEXkchHp4zMrGmfEmePnvSaoamdV7ZyYmFgGvTGm4qvSuDEN+vZl8/vvH/dZ7gOrV5O+eDHNb7qpUj1oLVR7Oh3oLiLd3TPdzwBT/bSrDYwXkTYiUh14DpimqvnlWKsxYaXl0KHkZmSw7dNPj5m/6Z//JCI2lqbXXRekyoIjJENSVfcCQ4BJwFacZ+mMAxCRW0RkvdtuCs6lQt8BvwKRwJ3BqNmYcFG7Sxeqt23Lxn/8g8IHBeZmZrJt+nQaX3klMbVqBbnC8hWSIQmgqjNUtYWqVlPVWwsv81HVSarayqfdI6paT1UTVfVm95IhY0yARIQWQ4aQuWYNexcsAGDb9OnkHz5M0qBBQa6u/AXyIDBjTJhrfNVVrHzuORbefjuRcXHkHjhAjfbtqdmhQ7BLK3cWksaY40TGxdHx6afZPXs2EhVFRHQ0Ta65JthlBYWFpDHGr4b9+tGwX79glxF0IXtM0hhjQoGFpDHGeLCQNMYYDxaSxhjjwULSGGM8WEgaY4wHC0ljjPFgIWmMMR4sJI0xxoOFpDHGeLCQNMYYDxaSxhjjwULSGGM8WEgaY4wHC0ljjPFgIWmMMR4sJI0xxoOFpDHGeLCQNMYYDxaSxhjjwULSGGM8WEgaY4wHC0ljjPFgIWmMMR4sJI0xxoOFpDHGeLCQNMYYDxaSxhjjwULSGGM8WEgaY4wHC0ljjPEQ8iEpIikicp7H8n4isk5EDonIhyKSUJ71GWPCW8iGpBt+44ELPdrUAt4DxgBNAAGeLJ8KjTGVQciGJE44RgEHPdr0B5ao6nRVTQeeBQaWR3HGmMohKtgFFEdVHwEQkT4ezToAS32mlwP1RaSaqnqFqzHGnJRQHkmejOrA/sIJVc0G8tz5xxCRESKySEQWpaWllWOJxpiKLKghKSIPi0ien9fbJ7mJDCDeZ3sxOKPj9KINVXWCqnZW1c6JiYml0wFjTNgLakiq6jOqGuXnNewkN7EaaO8z3RZYp6pHSr9aY0xlVNF3t6cD3UWku3um+xlgapBrMsaEkQoXkiJyi4isB1DVvcAQYBKwFUgFxgWxPGNMmAnZs9uFVDWpyPQknFAsnJ4BzCjnsowxlUSFG0kaY0x5spA0xhgPFpLGGOPBQtIYYzxYSBpjjAcLSWOM8WAhaYwxHiwkjTHGg4WkMcZ4sJA0xhgPFpLGGOPBQtIYYzxYSBpjjAcLSWOM8WAhaYwxHiwkjTHGg6hqsGsodyKSCawJdh1BUhfYE+wigsT6Xjm1VtWEQFcO+TuTl5E1qto52EUEg4gssr5XPpW976eyvu1uG2OMBwtJY4zxUFlDckKwCwgi63vlZH0PUKU8cWOMMSerso4kjTHmpIRlSIrIEBHZJCIHRWSeiLQWkUQRmS4i+0UkTUReFpFIt30LEfleRI6IyE8i0jbYfQhUMX2vISIfiEiGiGwQkRt82odF30XkThHZKSIHRGSmiDQUx1/d//MdInK7T/uw6Df477vPspYisqpI+7Duu4hUEZGJ7rxd7u96tNu+5H1X1bB6AcnAQeAyIB54CFgKvAFMdOc1BpYDt7jrpABPA9WBMcCyYPejlPs+AZgKVAMuBPYDLcOl70B7YC/Q1e3je8BkYBjwi/v/fSbOdYKdwqXfJ+h7DeA2YDGwusg64d73J4AFQBOgAfAjcHegfQ96R8vgG/d/wAyf6WigAHgVmARUdb95q4ArgWZusMS67SOADKBNsPtSin3PAdr7zP8UuD9c+g6MBP7hM30lsASYAwzymf8q8Gy49PsEfW8J/B343DckK0nffwSu85n/O+CzQPsejrvb04FRPtPnAIdx/rpchPNN2gpsx/kB6gisUtVsAFUtAFYDrcqx5tJSXN9zgGyf+QK0IHz6/hYwHEBE6gA3Az8AHXBG0oVW4PQtXPoNxfRdVTeo6u+AF4q0D/u+44TiLJ92nYEdBNj3sAtJVd2tqpsAROQ6YAYwFvgr8BNQE2gDNMf5S1QdZ/fTV6Y7v0Lx6PtXwN0iEi8i3YE+QCRh0ndVzVXVHBEZjrNL/RvgfY7vX2HfwqLf4Nn34oR931V1hapmikhVEXkVuBZ4jgD7HnYhCSAidUXkU+BlYJiq/g3nG/iYqu5X1TU4u179cIbb8UU2UQVIL8+aS0sxfR8FJOH8NX0WJzRTCbO+q+pbOPU/iDOqPsix/SvsW1j1G47ve+GJCj8qRd9F5GKcQ2otgbNVdSMB9j3sQlJEqgLf4xzQbaOqn7mLDhdpmgscwrnRRVsRiXDXjwBa4xzwr1A8+t4KGKyqtVS1G87NDn4kTPouIn8QkUEAqnoE5yRdbWAbzsH9Qu2AnwmTfoNn34sbHVWGvl8LfAyMUdUrVHWbu0pAfQ+7kMQ5LrFTVW9T1YM+82cAfxKRmiLSHLgD+FhV1wNrgftEJB54BFiuqtvLvfJTV1zfxwJj3UsjhgCNgG/DqO9pOP1rKSJxwGjgv8BrwGgRqS0iXXG+Px+FUb+hmL6r6l5/jStD34G7gXtV9QPfxgH3PdhnqMrgjNffcM7o5hV5NQfewRllbQUe8lnndJzjlUeA74Dmwe5HKfe9JzAfZzS9COgQTn3HuZvVi8AunGNOX+KMniNxgjLT/T+/KZz67dV3n+W9OP4SoLDuO85hlqK/A98G2nf7WKIxxngIx91tY4wpNRaSxhjjwULSGGM8WEgaY4wHC0ljjPFgIWmMMR4sJE3IEJFeIrK6DLb7qIi85n49UUTGBrCNgNYzFV9lfaSsqURU9Ylg12AqLhtJmpAjIlEi8oJ7x+nt7khQ3GWbROQ+EVkpIntE5HGf9W4SkS3uen8UkU3u/MdEZLyIPADcAjwtIg8UzvdZ/+i0iNQTkW/cO1inAPV82iWJyL9FJNO9u3XH8vnOmGCwkDShaAzO3abPAroB1+HcI7DQtTgft7sE+KMbWsnAK0B/4Ax3+TFU9XmcGy//wf3aywvATpxwfBLoC0dvivAZzg0UGgD/AD4JoI+mgrCQNKFoCM5t7Qrvj/k8TlAWelZVU1V1Cc5nspsANwD/UtVlqroP5xb9AXGD8Eacz/dnquos/ncT1y5ApKqOV9VDqvo6EGGjyfBlIWlCUXNgvc90Gj67uzg3WC2UhXNsvSmwxWf+rgDet/D3IRHn0Re+d4fZ4VNbGxHJKnzhPEOnQQDvZyoAC0kTitJwRoeFkoFNJ1jnME64+a5zIgUc+ztQGMR7AcUJv0LN3H9TgUWqGlf4As7FuaOMCUMWkiYUfQQ8KiJ1RKQFcBfOsUQvs4EbxXmEbl2cB535k4dz02Fwbsp7tohEiEgizvFMVDUP587mT4pIgohcyv+OcS4A6onIlSISKyI3AzOB/IB6akKeXQJkQtGjOI/XWIcTaq+r6nSvFVR1poi8gvPIUHBOqDT203QWMFFEtgPjgStw7li9EyfsCo10t7EL527v77nvkyUi1wBvAh/iPEjqGlXNCaCfpgKw+0masCAitYBqqrrVnb4EeFJVuwa3MlPR2e62CRcdgQUi0kxEGgAPAN8EuSYTBiwkTVhQ1bnAuzgPp1+Hs/v8TDBrMuHBdreNMcaDjSSNMcaDhaQxxniwkDTGGA8WksYY48FC0hhjPFhIGmOMh/8HHsJQRmqDE2MAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.5,4))\n", + "ax = fig.add_subplot(111)\n", + "\n", + "lon_mean = numpy.nanmean(raintot_diffs_time_mean_landmask[xlat_indices[:,0],:]*24., axis=0)\n", + "lon_mean_smooth = pandas.Series(lon_mean).rolling(window=5, center=True).mean()\n", + "ax.plot(xlong[0,:]+360., lon_mean_smooth, c='firebrick')\n", + "ax.set_xlim(280,320)\n", + "ax.set_ylim(-1.25,1.25)\n", + "ax.axhline(0, c='0.1', ls='--')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s='ACM2 days 2-10 precip. change', x=0, y=1.02, \\\n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.set_xlabel('longitude', fontsize=fontsize)\n", + "ax.set_ylabel('mm day$^{\\,-1}$', fontsize=fontsize)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## for cesm talk" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-15T03:08:31.076Z" + } + }, + "outputs": [], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(11,7))\n", + "fontsize = 18\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "levels = numpy.arange(-.75,.76,0.125)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['','',''])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['','',''])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['','',''])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['','',''])\n", + "\n", + "fig.tight_layout(h_pad=10)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='$\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='$\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='$\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='$\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='$\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='$\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/cesm_workshop_precip_lh_etc_maps.png', dpi=600, transparent=True, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot climatology of these variables" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-02T05:41:27.287058Z", + "start_time": "2018-07-02T05:41:19.109426Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(0,10.1,1.)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_400_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='gist_earth_r', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(0,3.51,0.25)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(0,151,25)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(0,31,5)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_400_time_mean_landmask-273.15, \\\n", + " levels=levels, \\\n", + " cmap='Spectral_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(0,801,100)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "ax5.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='magma', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# prw\n", + "\n", + "levels = numpy.arange(0,61,5)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "ax6.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_400_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='YlGnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,1,2,3])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(280,301,5))\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,200,400,600,800])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-0.2,0.21,0.1))\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/CLIM_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# as a percent" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-01T22:07:12.349746Z", + "start_time": "2018-07-01T22:06:59.400044Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: divide by zero encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: invalid value encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "perc_diff = (raintot_diffs_time_mean_landmask/raintot_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-25,26,2.5)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "contour_plot1 = ax1.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "perc_diff = (etran_diffs_time_mean_landmask/etran_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-40,41,5)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "contour_plot2 = ax2.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "perc_diff = (lh_diffs_time_mean_landmask/lh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-15,16,2.5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "contour_plot3 = ax3.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "perc_diff = (t2_diffs_time_mean_landmask/(t2_400_time_mean_landmask-273.15))*100.\n", + "levels = numpy.arange(-3,3.1,0.25)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "contour_plot4 = ax4.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "perc_diff = (pblh_diffs_time_mean_landmask/pblh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-20,21,2.5)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "perc_diff = (prw_diffs_time_mean/prw_400_time_mean)*100.\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax5.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax6.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)#h_pad=7, w_pad=3)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-40,-20,0,20,40])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-3,-2,-1,0,1,2,3])\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "fig.savefig('png_files/FRACTIONAL_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/gp3_MYJ_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb b/gp3_MYJ_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb new file mode 100644 index 0000000..2dce701 --- /dev/null +++ b/gp3_MYJ_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb @@ -0,0 +1,1662 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:00:24.467693Z", + "start_time": "2018-08-18T02:00:21.876771Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import matplotlib.colors\n", + "import pandas\n", + "import matplotlib.patches\n", + "import netCDF4\n", + "import glob\n", + "import cmocean\n", + "\n", + "import mpl_toolkits\n", + "import cartopy\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:00:24.485382Z", + "start_time": "2018-08-18T02:00:24.478426Z" + } + }, + "outputs": [], + "source": [ + "run_info = 'FMAASO'\n", + "skip_time = 24" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 400 data" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:00:24.737624Z", + "start_time": "2018-08-18T02:00:24.495760Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "wrfout_d01_1979-01-01_00:00:00\twrfout_d01_1979-01-07_00:00:00\r\n", + "wrfout_d01_1979-01-02_00:00:00\twrfout_d01_1979-01-08_00:00:00\r\n", + "wrfout_d01_1979-01-03_00:00:00\twrfout_d01_1979-01-09_00:00:00\r\n", + "wrfout_d01_1979-01-04_00:00:00\twrfout_d01_1979-01-10_00:00:00\r\n", + "wrfout_d01_1979-01-05_00:00:00\twrfout_d01_1979-01-11_00:00:00\r\n", + "wrfout_d01_1979-01-06_00:00:00\r\n" + ] + } + ], + "source": [ + "!ls /beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYJ_scheme_10days" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:00:24.757479Z", + "start_time": "2018-08-18T02:00:24.740890Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYJ_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:00:30.289094Z", + "start_time": "2018-08-18T02:00:24.766962Z" + } + }, + "outputs": [], + "source": [ + "cont_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:05:01.679312Z", + "start_time": "2018-08-18T02:00:30.299336Z" + } + }, + "outputs": [], + "source": [ + "rainc_400 = cont_mfds['RAINC'].values\n", + "rainnc_400 = cont_mfds['RAINNC'].values\n", + "qvapor_400 = cont_mfds['QVAPOR'].values\n", + "lh_400 = cont_mfds['LH'].values\n", + "\n", + "pblh_400 = cont_mfds['PBLH'].values\n", + "t2_400 = cont_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:05:41.819480Z", + "start_time": "2018-08-18T02:05:01.689349Z" + } + }, + "outputs": [], + "source": [ + "ecan_400 = cont_mfds['ECAN'].values*86400. # mm/day\n", + "edir_400 = cont_mfds['EDIR'].values*86400.\n", + "etran_400 = cont_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:06:05.791913Z", + "start_time": "2018-08-18T02:05:41.829341Z" + } + }, + "outputs": [], + "source": [ + "time = cont_mfds['Times'].values\n", + "xlat = cont_mfds['XLAT'].values[0,:,:]\n", + "xlong = cont_mfds['XLONG'].values[0,:,:]\n", + "landmask = cont_mfds['LANDMASK'].values[0,:,:]\n", + "landmask_midpoints = landmask[1:,1:]" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:01:33.335331Z", + "start_time": "2018-08-15T03:01:32.397070Z" + } + }, + "source": [ + "prw_400 = numpy.load('DATA_prw_400.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 1000 data" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:06:05.812342Z", + "start_time": "2018-08-18T02:06:05.801955Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_MYJ_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout*.nc')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:06:11.398172Z", + "start_time": "2018-08-18T02:06:05.822592Z" + } + }, + "outputs": [], + "source": [ + "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:10:50.928842Z", + "start_time": "2018-08-18T02:06:11.408726Z" + } + }, + "outputs": [], + "source": [ + "rainc_1000 = phys_mfds['RAINC'].values\n", + "rainnc_1000 = phys_mfds['RAINNC'].values\n", + "qvapor_1000 = phys_mfds['QVAPOR'].values\n", + "lh_1000 = phys_mfds['LH'].values\n", + "\n", + "pblh_1000 = phys_mfds['PBLH'].values\n", + "t2_1000 = phys_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:11:29.291952Z", + "start_time": "2018-08-18T02:10:50.939783Z" + } + }, + "outputs": [], + "source": [ + "ecan_1000 = phys_mfds['ECAN'].values*86400. # mm/day\n", + "edir_1000 = phys_mfds['EDIR'].values*86400.\n", + "etran_1000 = phys_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:02:17.264099Z", + "start_time": "2018-08-15T03:03:23.232Z" + } + }, + "source": [ + "prw_1000 = numpy.load('DATA_prw_1000.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# get time stamps" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:11:29.318785Z", + "start_time": "2018-08-18T02:11:29.301802Z" + } + }, + "outputs": [], + "source": [ + "time_datetimes = pandas.to_datetime([i.decode('utf-8') for i in time], format = '%Y-%m-%d_%H:%M:%S')" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:11:29.381904Z", + "start_time": "2018-08-18T02:11:29.328399Z" + } + }, + "outputs": [], + "source": [ + "skip_time = 24\n", + "n_intervals = 8\n", + "hour_strings = ['00','03','06','09','12','15','18','21']\n", + "\n", + "times_00 = [t.hour in [23,0,1] for t in time_datetimes[skip_time:]]\n", + "times_03 = [t.hour in [2,3,4] for t in time_datetimes[skip_time:]]\n", + "times_06 = [t.hour in [5,6,7] for t in time_datetimes[skip_time:]]\n", + "times_09 = [t.hour in [8,9,10] for t in time_datetimes[skip_time:]]\n", + "times_12 = [t.hour in [11,12,13] for t in time_datetimes[skip_time:]]\n", + "times_15 = [t.hour in [14,15,16] for t in time_datetimes[skip_time:]]\n", + "times_18 = [t.hour in [17,18,19] for t in time_datetimes[skip_time:]]\n", + "times_21 = [t.hour in [20,21,22] for t in time_datetimes[skip_time:]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PRW differences" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:05:23.557774Z", + "start_time": "2018-08-15T03:05:23.354091Z" + } + }, + "source": [ + "prw_diffs = prw_1000-prw_400\n", + "prw_diffs_time_mean = numpy.mean(prw_diffs[skip_time:,:,:], axis=0)\n", + "prw_400_time_mean = numpy.mean(prw_400[skip_time:,:,:], axis=0)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PBLH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:11:30.898306Z", + "start_time": "2018-08-18T02:11:29.391916Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:11: RuntimeWarning: Mean of empty slice\n", + " # This is added back by InteractiveShellApp.init_path()\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:12: RuntimeWarning: Mean of empty slice\n", + " if sys.path[0] == '':\n" + ] + } + ], + "source": [ + "pblh_diffs = pblh_1000-pblh_400\n", + "pblh_diffs_time_mean = numpy.mean(pblh_diffs[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean = numpy.mean(pblh_400[skip_time:,:,:], axis=0)\n", + "\n", + "pblh_diffs_landmask = numpy.copy(pblh_diffs)\n", + "pblh_diffs_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_400_landmask = numpy.copy(pblh_400)\n", + "pblh_400_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_diffs_time_mean_landmask = numpy.nanmean(pblh_diffs_landmask[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean_landmask = numpy.nanmean(pblh_400_landmask[skip_time:,:,:], axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# LH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:11:31.149609Z", + "start_time": "2018-08-18T02:11:30.908299Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "lh_diffs_time_mean = numpy.mean(lh_1000[skip_time:,:,:] - lh_400[skip_time:,:,:], axis=0)\n", + "lh_diffs_time_mean_landmask = numpy.copy(lh_diffs_time_mean)\n", + "lh_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "lh_400_time_mean = numpy.mean(lh_400[skip_time:,:,:], axis=0)\n", + "lh_400_time_mean_landmask = numpy.copy(lh_400_time_mean)\n", + "lh_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# RAINTOT differences" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:11:33.008078Z", + "start_time": "2018-08-18T02:11:31.160284Z" + } + }, + "outputs": [], + "source": [ + "raintot_400 = rainc_400+rainnc_400\n", + "raintot_1000 = rainc_1000+rainnc_1000\n", + "\n", + "raintot_400_diff = numpy.zeros((raintot_400.shape))*numpy.nan\n", + "raintot_400_diff[:-1,:,:] = numpy.diff(raintot_400, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "raintot_1000_diff = numpy.zeros((raintot_1000.shape))*numpy.nan\n", + "raintot_1000_diff[:-1,:,:] = numpy.diff(raintot_1000, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "# monthly mean\n", + "raintot_diffs_time_mean = numpy.nanmean(raintot_1000_diff[skip_time:,:,:] - raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_diffs_time_mean_landmask = numpy.copy(raintot_diffs_time_mean)\n", + "raintot_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "raintot_400_time_mean = numpy.nanmean(raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_400_time_mean_landmask = numpy.copy(raintot_400_time_mean)\n", + "raintot_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# T2 differences" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:11:33.258830Z", + "start_time": "2018-08-18T02:11:33.018307Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "t2_diffs_time_mean = numpy.mean(t2_1000[skip_time:,:,:] - t2_400[skip_time:,:,:], axis=0)\n", + "t2_diffs_time_mean_landmask = numpy.copy(t2_diffs_time_mean)\n", + "t2_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "t2_400_time_mean = numpy.mean(t2_400[skip_time:,:,:], axis=0)\n", + "t2_400_time_mean_landmask = numpy.copy(t2_400_time_mean)\n", + "t2_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ECAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:11:33.511221Z", + "start_time": "2018-08-18T02:11:33.269935Z" + } + }, + "outputs": [], + "source": [ + "ecan_diffs_time_mean = numpy.mean(ecan_1000[skip_time:,:,:] - ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_diffs_time_mean_landmask = numpy.copy(ecan_diffs_time_mean)\n", + "ecan_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "ecan_400_time_mean = numpy.mean(ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_400_time_mean_landmask = numpy.copy(ecan_400_time_mean)\n", + "ecan_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ETRAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:11:33.759786Z", + "start_time": "2018-08-18T02:11:33.521459Z" + } + }, + "outputs": [], + "source": [ + "etran_diffs_time_mean = numpy.mean(etran_1000[skip_time:,:,:] - etran_400[skip_time:,:,:], axis=0)\n", + "etran_diffs_time_mean_landmask = numpy.copy(etran_diffs_time_mean)\n", + "etran_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "etran_400_time_mean = numpy.mean(etran_400[skip_time:,:,:], axis=0)\n", + "etran_400_time_mean_landmask = numpy.copy(etran_400_time_mean)\n", + "etran_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# EDIR differences" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:11:34.008040Z", + "start_time": "2018-08-18T02:11:33.770781Z" + } + }, + "outputs": [], + "source": [ + "edir_diffs_time_mean = numpy.mean(edir_1000[skip_time:,:,:] - edir_400[skip_time:,:,:], axis=0)\n", + "edir_diffs_time_mean_landmask = numpy.copy(edir_diffs_time_mean)\n", + "edir_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "edir_400_time_mean = numpy.mean(edir_400[skip_time:,:,:], axis=0)\n", + "edir_400_time_mean_landmask = numpy.copy(edir_400_time_mean)\n", + "edir_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:11:34.541158Z", + "start_time": "2018-08-18T02:11:34.017974Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.pcolormesh(raintot_diffs_time_mean_landmask,vmin=-0.01,vmax=0.01,cmap=cmocean.cm.balance_r)\n", + "mp.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-18T02:11:45.441284Z", + "start_time": "2018-08-18T02:11:34.551628Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-1,1.1,0.125)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#dry_lon_lo, dry_lon_hi, dry_lat_lo, dry_lat_hi = -60,-50,-10,10\n", + "#wet_lon_lo, wet_lon_hi, wet_lat_lo, wet_lat_hi = -80,-75,-10,10\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-0.5,0.51,0.1)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "# levels = numpy.arange(-.75,.76,0.125)\n", + "# ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "# ax6.gridlines(ylocs=[0], color='0.25')\n", + "# ax6.coastlines(resolution='110m')\n", + "# contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + "# levels=levels, \\\n", + "# cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "# ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "# ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "# ax6.set_yticks([-20,-10,0,10])\n", + "# ax6.tick_params(labelsize=fontsize)\n", + "# ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "# ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "# title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "# ax6.text(s='mm', x=0.05, y=0.03, \\\n", + "# ha='left', va='bottom', \\\n", + "# fontsize=fontsize, \\\n", + "# transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "# bbox_position = ax6.get_position()\n", + "# cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "# cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "# #cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "# cbar_axes.tick_params(labelsize=fontsize)\n", + "# cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('figures/MYJ_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:28:03.640496Z", + "start_time": "2018-08-16T20:28:03.636586Z" + } + }, + "outputs": [], + "source": [ + "xlat_indices = (xlat>=-10) & (xlat<=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:31:57.579581Z", + "start_time": "2018-08-16T20:31:57.343705Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:6: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0,0.5,'mm day$^{\\\\,-1}$')" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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yhBtuuGGX6T/60Y/4+te/zvz585k0adIu03/+858zduxY3n//fX7961/vMn3SpEmMHDmSt99+m/vuu2+X6VOmTGHQoEG89tprPPzww7tMv/fee+nbty9//vOfefzxx3eZ/vDDD1NYWMif/vQnnnnmmV2mP/744+Tk5PDoo4/y0ksv7TL92WefBWDatGm8/vrrO03Lzs7miSeeAOCee+7hH//Y+eKILl268MgjwX+zO++8kzlz5uw0vXfv3kydOhWAW2+9lYULd3523cCBA7nrrrsAuP7661m2bNlO04cPH87kyZMBuPrqq1m9evVO0w877DBuvPFGAC6//HI2bdq00/QjjzySn/zkJwBceOGFVFVV7TT9xBNP5IorrgDY5f8d6P/e3v6/t6daHJJmVgl4VBt377jHFX2lAPgiZtnVZlYTji/fjTYAmNlEYCJAbm5uK5YpIqnM3CNz76uGZv3DH38IDAcmA6sIvpZ4E/CKu/+u1QozuxvY5u43h8OZQDXQ0d0rW9qmMWPGjPHZs2e3VqkiksTMbI67j4l3/hZvSbr7F+EKvwcc4O5bwkmrzOwi4BOCy4Bay6cExxzrHQgsbhB+LWkjIhK3eI5J1gIjgH/FjBsajm9N04G7zexogmONdwBPxtGmSdXr11O2dClbly+n4osvgn+XL6e6pIS6bduo276dDpmZZPfsSXaPHnQePZrep55K/pAhxHzbKGXUbdtGzdat1FRUUFNeTm34s7uTlpNDWnY2Wd26kd2jB9ZB92uW9iGekLwF+JuZPQMsJ7gT0NnAz1qzMHffYGaXAI8R3I7tGeBOM7sYuNXdBzXVpiXLL1u6lLfGj8drg2y3tDRy+valY79+FAwdSoesLDpkZFBbWUl1SQmVq1dTPHUqxffdR+7++zPkqqvoe8YZSROWNRUVVJeUULV+Pds3b6auupra6uog7Ot/jhm3ffNmqjduZFv4qt64kdqKihatyzIyyOndm9wBA8gfNIj8wYPpcthh5A0cmDTvh0hrafExyZ1mMjsAOJ/g2sS1wHPuPr+Va9trxowZ409861ssnjaNwx96iLxBg8jp04cO6dGfGdXr17P6tddY/vTTlM6bR69TTmH05MlkdevWRpUH6rZvp3T+fDbMmsXmefPYPG8elV9+2bKZO3QgLSuLjE6dyOzalcwuXcgqLCSzsJDMzp1Jz8sjPTeX9Nxc0nJzSc/Lw4Da6mpqt26lqqSEypUr2bpiBeWffUb5smXUhWdzs7p1o+u4cfQ49lh6HHMMWV277r03QaSF9vSYZFwhua8bM2aM/zovj9wBAzji0Ud3e36vrWXpH/7AonvuIT0vj9G/+hW9Tzml9QuNsW3TJtb8/e+sfvVVNsyaRe3WrQB07NePziNHUjB8ONk9e5LVrRuZnTuTlp0dbA1nZdEhM5O0+p+b+SDYXV5XR8UXX7Bh1iw2zJrF+n/8g+qSEjCjy8EH0+O44+h5/PEUDBumrUxJCIVkHA4ZPtwnV1dz8F13sd/ZZ8e9nLLiYj649lpKFyyg7xlnMPKXvySzU6dWq7N648YgGF9+mfX//CdeW0vHfv3occwxdB03jq5jx7b5VmxzvK6O0gULWDtjButmzGDzxx8D0CEri5w+fcjp04f03Fw6ZGRg6enUVlZSU1FBXXU16Xl5ZBQUkFFQQHp+PhkFBeQdcADdjzqKtKysBPdM9lUKyTiM6NPH7+rUiZNnzSIjf8++6l23fTuLH3yQxb/7HRkFBfQ57TR6nXQSXceNo0NGxm4vr3rDBta89hqrXn6ZDTNn7gjGPqedRu/x4+k0YsQ+tUVWVVJCyVtvUbZ4MVtXraJq9Wpqtm6lbvt2vKaGtOzsIDQzM6mpqGD7li1sLyujZsuWHceL0/Py6Hn88fQ6+WS6H3XUHv/OpH1RSMZhSG6uP3nZZYy5//5WW+bmefNY/OCDlLz9NrWVlWR27cqgyy+n/7e/TXojF69vXbWKdTNmsHbGDDbNnUtdTQ0AtZWVUFdHbv/+9D7tNPqMH0/B8OH7VDC2BnentqKCjR98wOq//Y3Vr73G9s2bsfR0uhx6KEUTJtB3woRG39t4bC8rY8N771E6fz5VJSVUr18fvMKfO2RkkNWjB9k9etBpxAi6HXEEhWPHKrBbWW11davvNSQkJMM77fSkwXe/3b043kLa0uCsLH/7xRf3ynHEmspK1r/7Lp898QTr332XzMJCep96Kh2Lisju3ZuyRYtYO2MGZYsWAcExxW5f+9qOP/aM/Hx6nnACBQce2O6CMUpdTQ2bPvyQdW++yZrXX6d88WLS8/LoO2ECnUaMIKdPHzrutx+5/fs3e3lSzdatbJ43j7JFiyhbvJjShQspnTcv2HI1I7OwkKxu3cjq3j34t2tXvKaGqpISqlavpnTBAuq2bcPS0ug0ciTdjjiCrkccQeGYMaR3bM0vnbUftdXVzP3xj9k0dy4nvP12qwZlm4ekmV0L3E7w4K/Yv2J39x7xFtKWBnfs6J9u2rTXj3NtnDuXJQ8+yMbZs9m+Jbj23tLTKTzsMHoedxw9jj9el83Ewd3ZNGcOnz/5JKtffpm6bdt2TEvPz6fzqFF0LCqipryc7WVluDvp4XWe5cuWseXTT3fsymcUFJA/ZAhdx42j29e+RpdDDmn2/0VtVRWb5s5l/cyZrJ85k80ffYTX1GDp6XQePZquhx9OwdCh5A8dSt7AgXEddmlPaiormf3DH1LyTnAjsaNfeIHOo0e32vITEZJrgWPc/dN4V5pow3v18oVr1rTpOreXlVG1ejXZvXqRUVDQputOZXU1NVStW0flqlVUfPYZmz/+mM0ffURVSUlwIig/H8yo3bqV2qoqOvbtS5dDD6XLIYfQafhwsnr02OMPqZqKCjbOmcOGMDRLFyzAw8MnlpFB/gEHkD906I7gLBg6lOxevfThSPDezbr8cjbMmsWQq66ieOpURt12GwO+3XoPOkhESH4M/Hv91xT3RYcdfLDP+fDDRJchKaq2upqKzz5jy6JFbPn0U8oWLWLLokVUxXwwZxQUkD90KPmDBpHRuTNpOTlkdulC4WGHkT94cLv4RlNtdTWzvv991s+cySG/+Q19J0zg1bFj6X3SSRx0Z4u+E9Iibfbd7Rg3A2+Z2bPAltgJ7j453kLakrXytYIisdKysigYNoyCYcPgjDN2jN9WWkpZcfGO0NyyaBGrXn6ZmvLyHVueABmdOtF59GhyBwwgt39/OvbrR26/fnTs1y9lLoWqq6lh7o9/zPp//pOD77qLovB96jxyJJvnJ9f3UuJJi5uANUA+oHuOibRQZqdOdB07lq5jx+4yrW7bNirXrGHj7NlsmDWL0oUL2fTBB9SUx9zxz4zsnj3J7d+f3AEDOODyy8nbf/827EHrcHc+vvlm1rz2GiN+8YudrlXuNHIkSx95hNqqKtKysxNY5VfiCclRQA9339raxYi0Vx0yM8kNtxj3++Y3gSBMtm3atOPGK1u/+IKKL76gYvlyVr70EqtfeYUxDzxAtyOOSHD1u2fdm2+y4tlnGfwf/8HAyy7baVrnUaPwmhq2fPopXQ4+OEEV7iyekHwUuAR4sHVLEZFYZkZWYSFZhYW7BEbF8uXMuvxyZl5yCaN/9Sv6nXtugqrcfUumTSOnTx+GXH31LtM6jxoFQOn8+UkTkvEcHT4O+J2ZbTCzT8xsYf2rtYsTkcbl9uvHUc88Q9cjjuCjG25g1SuvJLqkFtnw/vtsnD2bA77//UYvjcru3ZvMwkI2z5uXgOoaF8+W5JVAJ4KLyeuvYTCaebSDiLSujIICxj3yCP+44AI+vvFGOo8eTcc+fRJdVqQlDz5IZmEh+513XqPTzYzOo0YlVUjGsyU5luC+jXcQXFR+O/Cr8CUibahDZiaH3nMPXlfHBz/96Y6L5JNR6cKFrHvrLfa/9FLSc3KabNdp1CjKlyyhpjI5HjAQT0heBxzk7t0bvPaJb9uIpJrc/v0Z9Z//ycb332fxAw8kupwmLZk2jfS8PPZv5ImQsTqPHInX1rLlk0/aqLJo8YTkWiA5Il5EACg680z6TphA8dSpVK1dm+hydrGttJTVr7xCv/PPb/YbZ53qT94kyS53PCFZfzH5b8zs1thXaxcnIi035Ec/wmtrWfH884kuZRclb72F19bS+9RTm22b3bMnWd27J81F5fGEZOzF5L0bvEQkQfL235+u48ax/OmnSbZbIK6dMYPMwkK6HHRQs23NjE4jR1K6YEEbVNY8XUwukkL6nXceH/zsZ2x4772kuci8rqaGdW+9Ra8TT8TS0lo0T27//myYNQt3T/iNQOLZknyU4GJyEUkyvU89lfT8fJY//XSiS9lh09y5bC8tpcfxx7d4no5FRdRWVLB98+a9WFnL6GJykRSSlp1N0RlnsPqVV9hWWprocgBY+8YbWEYGPY46qsXz5PTtC8DWlj4FdC+K92JyEUlS/c47j8+feIKVL77Y7OU2bWHtjBl0HTeO9Ly8Fs/TsagIgK0rV+74qmKi7HZIuvtbe6MQEWkdnUaMoGDECJY/80zCQ7Li888pX7qUAd/5zm7NV78lWblyZdzrLr7//uDxxnso9e/sKdIOFZ15JlsWLKD8s88SWsfaGTMA6LkbxyMh+Mplel4elXuwu/3l9Ol8/sQTcc9fTyEpkoL6jB8PwKqXXkpoHWvffJO8wYPpuN9+uzWfmdGxqIitcW5J1lZVUfFF6zw8QSEpkoJyevemcMwYVv31rwmrwd0pXbCAwkMPjWv+nKKiuE/clC9dCnV1DLriirjmj6WQFElRfU4/nbLFiykrTsyTnrdt2MD2TZvIHzIkrvk79u1L5cqVcV0YX7Z4MRAcdthTCkmRFNV7/Hjo0IGVCdqa3BI+Wz5/8OC45s/p2zd4LPCWLc03bqCsuBjLyCB3wIC41h1LISmSorK7d6fr4Yez6q9/TcjXFOu3YAuGDo1r/vrLgOI5ebOluLjVnnmukBRJYX1OPz14vG0CbjtWtngxmYWFZHbtGtf8e3JBeVlxMQVx7uY3pJAUSWG9Tz0VS0tLyAmcsuLi4BnicX73OvaC8t1RU15O5cqV5MW5m9+QQlIkhWUVFtLtyCNZ+eKLeF1dm63X3SlbvDjukzYQPH88LTd3t3e3y5YsAUj9LUkzO8XMFptZhZk9bWb5TbR7y8yqYl7/3da1iiSz/c46i8pVq9gwa1abrbNy9Wpqysv3KCTNjI59++72lmT9sdA9WXespAxJM+sCPEXwqIgiggeN3dZE84FAJ3fPDl/fbaMyRfYJPU86ifS8PL584YU2W+eOoNrDXd6ORUW7/dXELcXFdMjO3u0L2JuSlCEJTADmuvt0d98ETAEuaNjIzLKBGnevbusCRfYV6Tk59B4/nlUvv9xmD9dqrZDM6du30RM3NZWVFE+dymd//CPr3nmH6vXrd1p3/qBBWIfWibdkDcnRwAcxw/OBnmbW8DYiA4BMM5trZhvN7AUz69VWRYrsK4rOPJPaigrW/v3vbbK+suJisnv2JLNz5z1aTseiImrKyna5VvKTKVNY9F//xfzJk3nv0kt5/eij2fD++8G69/BYaEPJGpIFwI6b4YVbijXh+FhdgIXAhQSBWQo83jYliuw7uh5+ODl9+rCijXa5y4qLW+XscmOXAa19800+f+IJBn73u5z83nv825NPktOnD3OvuYbyZcuoXreu1U7aQIJD0sxuMrOahi+CW7jlxLTLDMdtip3f3f/l7ie5+0J33wJcCxxvZrs81NfMJprZbDObXdIKt08S2ZdYhw4UnXkmJe++S9W6dXt1XV5bS9nSpa0SVB0bhGT1xo18dMMN5A8ezLBrryWrWze6jRvHYVOnsm3TJmZedhnQeidtIMEh6e53uHt6wxfwLjAypumBwGJ33+mAipmdZmYnxozKINji3NbIuh529zHuPqZ79+57oTciya3orLOgro4l06bt1fVsXbGCuqqqVgmqnPpv3axcSeWaNXx4/fVs27yZQ377W9Kysna06zR8OCNvvXXH5UJ7eiw0VrLubk8Hjjazo8Mz3XcATzbSrhCYZmbDzKwA+DXwrLvXtmGtIvuEvIEDGXDRRXz2xz/y2WOP7bX1bGmlkzYAmV3hF/GyAAAMBUlEQVS6kNaxI0seeojXjz6adTNmMPznP6fT8OG7tO13wQUUnXkm2b16kd279R7eGs/jG/Y6d99gZpcAjwHdgWeAOwHM7GLgVncf5O5PmNlQ4G2Cy4ReA65KUNkiSW/kLbdQuXo18ydPJrtnT3qfcgp1NTV4be1OW2Z7YseZ7UGD9nhZZkbn0aMpX7aMQT/4Af3OPZfc/v2bbHvwb35DbVVVqz5h0ZLt+bxtYcyYMT579uxElyGSEDWVlcy86CI2z59Pel4e2zdtwjIyGHzllQy+4go6ZGbGvWx3591zzqGmvJzjXn21Vep1d3CP+5IeM5vj7mPiXX9SbkmKyN6TnpPD2Icfpvi++8CdzMJCypcupfjee1n9yiscPGUKnUePjmvZG957j80ffsioyZNbrV4zgwQ+e1tbkiICwJo33mDeLbdQtXYtff/93xn64x/v9v0YZ152GaULFnDi22+Tlp29dwrdTXu6JZmsJ25EpI31OuEEjn31VQb98Iesef11ZpxyCh/deGOLHyZWunAhJW+/zcBLL02agGwNCkkR2SEjP58Dr72W42fMoP+3vsWX06cz46STmH3VVc0+WGvJQw+RnpfHgAsvbKNq24ZCUkR2kd29O6MmTeLEd95h0BVXUPLOO8yaOJHa6sZvk1CxfDmr/vY3+l9wARkFDb8Yt29TSIpIk7K6dePAa6/lsKlTKV+yJDjZ04gv/vd/sQ4d2D/8xksqUUiKSLN6fP3r9DvvPJY8/DCbP/54p2l127fz5fTp9Dj2WHJ6pd79ZRSSItIiw2+6iewePfjg+ut32u0uCW9V1u+ccxJY3d6jkBSRFsnIz2f07bdTvngxi++/f8f4Fc89R2ZhIT2OPTZxxe1FCkkRabGexx7Lfuecw5KHHmLzvHlUb9zImjfeoOjMM1vl8a3JSCEpIrtlxM03k9WtGx9efz1fPv88vn07+519dqLL2msUkiKyWzIKChh9++2UFRfzyd1302nECAqGDUt0WXuNQlJEdlvP446j6Kyz8JqalN6KBN3gQkTiNPLWW8nt35/9UvSsdj2FpIjEJaOggCFXX53oMvY67W6LiERQSIqIRFBIiohEUEiKiERQSIqIRFBIiohEUEiKiERQSIqIRFBIiohEUEiKiERQSIqIRFBIiohEUEiKiERQSIqIRFBIiohEUEiKiERQSIqIRFBIiohEUEiKiERI+pA0s3fM7IiI6aeY2WIzqzCzp80svy3rE5HUlrQhGYbfNOCoiDZdgKeA64AiwIDb2qZCEWkPkjYkCcIxHSiPaDMBmOvu0919EzAFuKAtihOR9iFpHynr7rcAmNmJEc1GAx/EDM8HeppZnrtHhauISIsk85ZkSxQApfUD7l4N1ITjd2JmE81stpnNLikpacMSRWRfltCQNLObzKymkdcfWriIzUBOzPIyCbaONzVs6O4Pu/sYdx/TvXv31umAiKS8hIaku9/h7umNvL7XwkV8CoyMGT4QWOzula1frYi0R/v67vZ04GgzOzo8030H8GSCaxKRFLLPhaSZXWxmSwDcfQNwCfAYsAJYB9yZwPJEJMUk7dnteu4+oMHwYwShWD/8F+AvbVyWiLQT+9yWpIhIW1JIiohEUEiKiERQSIqIRFBIiohEUEiKiERQSIqIRFBIiohEUEiKiERQSIqIRFBIiohEUEiKiERQSIqIRFBIiohEUEiKiERQSIqIRDB3T3QNbc7MyoBFia4jQboB6xNdRIKo7+3TUHfPj3fmpL8z+V6yyN3HJLqIRDCz2ep7+9Pe+74n82t3W0QkgkJSRCRCew3JhxNdQAKp7+2T+h6ndnniRkSkpdrrlqSISIukZEia2SVm9rmZlZvZW2Y21My6m9l0Mys1sxIzu9fM0sL2+5vZu2ZWaWbvmdmBie5DvJroeycz+5OZbTazZWZ2Xkz7lOi7mV1lZqvNbIuZvWRmvS3w2/B3vsrMrohpnxL9hsb7HjNtoJl90qB9SvfdzDqa2aPhuDXh33pG2H73++7uKfUCBgPlwHggB7gR+AB4EHg0HNcXmA9cHM7zDnA7UABcB3yY6H60ct8fBp4E8oCjgFJgYKr0HRgJbADGhX18Cngc+B7wcfj7HkVwneAhqdLvZvreCfguMAf4tME8qd73ycBMoAjoBfwLuCbevie8o3vhjfsB8JeY4QygDpgKPAbkhm/eJ8A3gH5hsGSF7TsAm4Fhie5LK/Z9GzAyZvyfgZ+lSt+BK4E/xgx/A5gLzAAujBk/FZiSKv1upu8Dgd8Df40NyXbS938BZ8eM/z7wYrx9T8Xd7enA1THDhwFbCT5djiN4k1YAKwn+Ax0EfOLu1QDuXgd8Cgxqw5pbS1N93wZUx4w3YH9Sp++PAJcDmFlX4DvAP4HRBFvS9RYQ9C1V+g1N9N3dl7n794G7G7RP+b4ThOJrMe3GAKuIs+8pF5LuvtbdPwcws7OBvwA3AL8F3gM6A8OA/gSfRAUEu5+xysLx+5SIvr8CXGNmOWZ2NHAikEaK9N3dt7v7NjO7nGCX+kzg/7Fr/+r7lhL9hsi+NyXl++7uC9y9zMxyzWwq8E3g18TZ95QLSQAz62ZmfwbuBb7n7vcTvIGT3L3U3RcR7HqdQrC5ndNgER2BTW1Zc2tpou9XAwMIPk2nEITmOlKs7+7+CEH9PyfYqi5n5/7V9y2l+g279r3+REUj2kXfzex4gkNqA4FD3f0z4ux7yoWkmeUC7xIc0B3m7i+Gk7Y2aLodqCC40cWBZtYhnL8DMJTggP8+JaLvg4CL3L2Lux9JcLODf5EifTezm83sQgB3ryQ4SVcIfElwcL/ecOAjUqTfENn3praO2kPfvwk8B1zn7qe7+5fhLHH1PeVCkuC4xGp3/667l8eM/wvwSzPrbGb9gR8Cz7n7EqAY+KmZ5QC3APPdfWWbV77nmur7DcAN4aURlwB9gDdSqO8lBP0baGbZwLXAPOB3wLVmVmhm4wjen2dSqN/QRN/dfUNjjdtD34FrgJ+4+59iG8fd90SfodoLZ7zuJzijW9Pg1R/4b4KtrBXAjTHzDCE4XlkJvA30T3Q/WrnvxwD/INiang2MTqW+E9zN6h5gDcExp5cJtp7TCIKyLPydfzuV+h3V95jpx7LrJUAp3XeCwywN/wbeiLfv+lqiiEiEVNzdFhFpNQpJEZEICkkRkQgKSRGRCApJEZEICkkRkQgKSUkaZnasmX26F5Z7q5n9Lvz5UTO7IY5lxDWf7Pva6yNlpR1x98mJrkH2XdqSlKRjZulmdnd4x+mV4ZaghdM+N7OfmtlCM1tvZv8ZM9+3zWx5ON8vzOzzcPwkM5tmZtcDFwO3m9n19eNj5t8xbGY9zOz18A7W7wA9YtoNMLO/m1lZeHfrg9rmnZFEUEhKMrqO4G7TBwNHAmcT3COw3jcJvm53MvCLMLQGA/cBE4AR4fSduPtdBDdevjn8OcrdwGqCcLwNOAl23BThRYIbKPQC/gi8EEcfZR+hkJRkdAnBbe3q7495F0FQ1pvi7uvcfS7Bd7KLgPOA5939Q3ffSHCL/riEQXg+wff7y9z9Nb66ietYIM3dp7l7hbs/AHTQ1mTqUkhKMuoPLIkZLiFmd5fgBqv1qgiOre8HLI8ZvyaO9db/PXQnePRF7N1hVsXUNszMqupfBM/Q6RXH+mQfoJCUZFRCsHVYbzDweTPzbCUIt9h5mlPHzn8D9UG8AXCC8KvXL/x3HTDb3bPrX8DhBHeUkRSkkJRk9Axwq5l1NbP9gR8RHEuM8n/A+RY8QrcbwYPOGlNDcNNhCG7Ke6iZdTCz7gTHM3H3GoI7m99mZvlmdipfHeOcCfQws2+YWZaZfQd4CaiNq6eS9HQJkCSjWwker7GYINQecPfpUTO4+0tmdh/BI0MhOKHSt5GmrwGPmtlKYBpwOsEdq1cThF29K8NlrCG42/tT4XqqzOws4CHgaYIHSZ3l7tvi6KfsA3Q/SUkJZtYFyHP3FeHwycBt7j4usZXJvk6725IqDgJmmlk/M+sFXA+8nuCaJAUoJCUluPubwP8QPJx+McHu8x2JrElSg3a3RUQiaEtSRCSCQlJEJIJCUkQkgkJSRCSCQlJEJIJCUkQkwv8HjthqgmXqCtkAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.5,4))\n", + "ax = fig.add_subplot(111)\n", + "\n", + "lon_mean = numpy.nanmean(raintot_diffs_time_mean_landmask[xlat_indices[:,0],:]*24., axis=0)\n", + "lon_mean_smooth = pandas.Series(lon_mean).rolling(window=5, center=True).mean()\n", + "ax.plot(xlong[0,:]+360., lon_mean_smooth, c='firebrick')\n", + "ax.set_xlim(280,320)\n", + "ax.set_ylim(-1.25,1.25)\n", + "ax.axhline(0, c='0.1', ls='--')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s='MYJ days 2-10 precip. change', x=0, y=1.02, \\\n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.set_xlabel('longitude', fontsize=fontsize)\n", + "ax.set_ylabel('mm day$^{\\,-1}$', fontsize=fontsize)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## for cesm talk" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-15T03:08:31.076Z" + } + }, + "outputs": [], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(11,7))\n", + "fontsize = 18\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "levels = numpy.arange(-.75,.76,0.125)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['','',''])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['','',''])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['','',''])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['','',''])\n", + "\n", + "fig.tight_layout(h_pad=10)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='$\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='$\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='$\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='$\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='$\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='$\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/cesm_workshop_precip_lh_etc_maps.png', dpi=600, transparent=True, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot climatology of these variables" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-02T05:41:27.287058Z", + "start_time": "2018-07-02T05:41:19.109426Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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1dK+g8EDqh/pSlHuj2m29qKiI119/nc6dO7Nx40bddss9veZSYwROU/33GgeaauQZVGdPJVPbL4h27dpVW1+ysrJ45ZVXWLr4M/p1f4R+/fqRnZ3NP//8g6+vL6tWraq2vtyrFBUV8fDDD9/ublQ6g15czpxDCQbbYm44ApC452+GDh1qarcqY+vWrXSJ6kyPng9z5MgRPvzwQ/Ly8njiiSfo0qULNWEWZk3nbrX1c/+e0IkcfbLO7OeB+1rQrFmzautLamoqgwcP5pc/V+PzYCh9+/alqKiIdevW4enpydatW6utL/camZmZ/Oc//6Fjx46MHj26UtuuMQLnx1nbyEjJ1gkbkKeJWycX4u3tjY1N9Yy2rV69mtDQUPYeXsnr/+3Fn5u38Pjjj+Po6MhXX31F8+bNmTx5MuvWrWP//v3V0qd7jWPHjhEWFsbx48dvd1cqnz3LufrnL7qPGfnyU6yntzPeZOPv718t3UhKSmLgwIEMjB7AWzOn4uvvy65du3j66ae5cOECW7ZsITU1lQ8++IA///yT9PT0aunXvcbdbOt5mz+gICutxPY3HvTBz8+vWmbFSpLEzz//TGhoKNvi0wge8CpHtuzmqaeewsrKioULF3LfffcxYcIE1q1bx5EjR6q8T/caX3zxBX369GHr1q3Ex8dz+vTpSmu70gSOEOIfIcQDep8fEUKcEUJkCSF+FkK4KNuthBDfCyGShRBjytv+y0PGs3rOcR4ImW6wfdvuS1X2dHPixAm+++47wsPDEUIghKBXv4E4dwvH+ZlmTF/wHTHJ1+nQoQNRjzbil+Xf4+Gfgl/9XKZNGsLDXTvw5ptvWp5yK5mQkBD27dtHQEDAbTl+Vdr61q1bOfTtb3w0dyFaOy/mHEpgyZ9FXD10hKysrCp5qs3NzWX58uWMGzcOT09Pgls0JrhJQ2xcrdj47zrSszMYPHAYY8eOZdWqVfz3hedBwFuz3mDthtVMeXMSbdq04fz585Xet3ud22nrVX1PHzeoN+KHCcwK8QZg2VcHOH/gAr/99htdu3at9PMBOHToEN9++y2NGjXC3rsuTnUaEf3y69j3mYztQ6P4552J1Cqyp0WLFjTs0Zu1f23C+4EmWNepxbhZU2nfuRPvv/++5Z5eiYSFhdG9e3cAnJ2dycjIqLS2bznRnxDiEeAJYBjQVpKkXUIIN+Ac8F9gC7AQuCZJ0qtK/fuBecDPQH9JkkodbBVCSPn5+dja2uIR0ZbwIe66WJzru2PYuOIUZ84nYWVVeQ6ppUuXMnr0aLp27coPP/xgUObgPA63dja0D9/Csjk7cPPVoGnZjDrt7HH20ejq5abncvbzfYz671gmTZoEyO642NhYHB0dDYKiCwoKOHDgAOnp6WRkZHDjxg0KCgqIiYnBwcGB/fv3s3//fqZNm8aTTz5ZaedZFVy8eJEmTZpU+dh1+/bt2bZtW5n1Kiv5WVXbuhBCUmO73njjDXqv2sfJk/ITblFeDhfnD+HXrxbSo0ePWz0VHXFxcfTp0wchBEFBQUgtG3JfcC1y7e0R/o1Zd8iJR5pl8NkTz3Hl0lWeGfgUjz/xHyK7dMTBwUHnYXr2jU84/eP3nD17FicnJwoKCkhMTCQpKYmQkBADD+uVK1e4ePEiGRkZZGZmkpubS15eHocOHSI0NJSffvoJGxsbNmzYUGnnWVXcjbZeXff0jIwMXFxc8HlsBGnaCF1ZwckNtNPEsGXLlls5jRJ8+umnTJ8+naioKH7an0RAj34UZqXhVL8ZwsaW8wcuEBEQx7ZZk7H3qU+t1t1wCetA284hujZ2bTrF5cUT+WDaeEaMGIEkSWRkZBAbG4tWq8XPz09XNy8vjwMHDpCRkaG7pxcWFnL58mXc3d3Ztm0bhw4dYt68eXTr1q1Sz7W8PPXUU7i7u/PZZ58BkJCQgI+PD++//z6vvfYaADt37qRjx46kpKSg0WhKa+6W+Pjjj/n111/5+++/y/TeldfOK2Ncp73Sjr5B9wT2S5K0QunMbGAN8CogAGtlHwGUS2HZ2NjQvn17TmPHxmFrUEPAQl57g0LrU/zyyy/069evEk4Hzp8/z2uvvUav18M5hjsY6htysuYCE3HU2AFQK8IPx0YPk5YKkkMyGteLZKbVJz3OA9uWvkyeMoUZM2YgSRJCCPz8/EhLS2PWrFm88MILCCH48ssvGTZsGA899BAuLi7k5+ezbt06ANzd3bGzs6N169acOHGiUs6xJjBz5kzWrl2r+xwVFcWbb755+zpUTbbevXt33njjDVAePrx8NCTGg0fX/zJ9+nS6du2Kra1tpZzQyy+/TNP7mvDGzEl8f+EqAHlAV39blpy2BiAu2xkPLw+uXLrKnM9mAZBPAQ6Ai62G3y/vo0XfJzm8ah3u7u5YW1uTl5eHu7s7Dg4OBAcH88MPP+Dj40NqaiqtWrXC1dWVBg0aoNFo+OWXXwz6tGzZsjtexFc2d5itV4udazQamjZtSrKd4cQR60ad+Wf1FDZs2FBpnpz9+/czc+ZMtIPmcdCzNrZcwMGv5OwtOxc5uWatNo/i0aGPQRv7DqZi6+aDV9doXhw5ijFjxlBUVIS1tbXunv7RRx/x1FNPIYTggw8+YMKECXTu3BkXFxfS09PZtGkTAP7+/mg0GmrXrs2ZM2dum8CJjIxkwYIFus8bN25Eq9WyYcMGncDZtWsXERERtyxuzNl4QUEBTz/9NFqtljVr1lTq0OQtuzwkSXpDkqQXAP2FRZoDB/Q+HwV8hBAa4E8gBLgA/ClJUsmEH2bw8PAgO67QYNuJD97m0vkURo0aVWmKf8eOHVjXt+OSqz0a14uEjp5aok7dyOvs/PoI9913HwmH0ijKl/P0pMd5GPzNT6+L70NjCXjhVeoPeZV2HzzE9A8foPfE+5gxazyurq40bdqUyW+MZsLbnZk8MpCXoz15aaAXwXV9GDlyJNevX6ewsJCDBw/i5uZ2U+e0efNmQkNDGTlyJM7OzrRp04aVK1cSFhaGl5cXc+fOLVcdcyxatAgfHx88PDx0TwMqixcvJiAgACcnJ9q2bcvhw4fp378/U6ZM0dVZuHAhHTt2NNhv0qRJbNu2Tfe6zeKm2mw9Ly+PRo0a0aPWUdJ/GIdTYRJePhqCu/bgsmRPdHQ0+fn5ZTdUDrZt/4dBw5/DysqKAcH1ANh7zY3EnGwAJjyUTtDx7dxIz0aj0fD3n5sBWdgAfHbyOHsTZJt8dvFCpmxdyet//cLwvzYT8t5qnEcuJta7AfXr16dBgwYENQxEE9ER/8lLyH7mLRJ7jqfRoEk0btyYxx57DIDPP//8lmKNLLZ+a1TnPd3d3R0kiYLTf5N/+HeCwgMJbtWAuv3HMGDAAPbu3VsJZwTbt28nq044dp61gZIJBoPCAwkI8WHvZ/No1aoVGcd3IBUW6Mr1g6G1LSJp8s5aAqb8QuDU36g/fTX2wxeR3nokw8ZNwN3dnZCQEKbO+5j6oz4mrvsUzrR/hZjOo7F18+HVV18lJiaG3NxcTp48edP39MogMjKSo0eP6masbdy4kTFjxrB9+3bdPWbnzp0lskrfzPVjzsYXLVpEs2bNWLx4MU5OTpV6flUVmasFLqkfJEnKFUIUAFrFdflUWQ0IIYYCBlNGpkyZwtXhw9lnon5iYiJPPvkkX3/9tVkX/s8//8zZs2cJDQ0lKirKrCLdv38/9t71dV6YlCP5hI6eita3+Hp/jitMzbDi+KndBAR5QPYxsG2pK/dvLPdS61tfty2yTixNNbXwy3OgYyMvOs7vgXOyICYunaCACOzsir8OOzsbJo99kB+Wr6dRgD8xyek89thjPP/882X858xz4sQJXnzxReLj4+nSpQujRo1i8+bN5Obm0qJFC5YtW1ZmnaFDh+Lq6mrQ7tmzZxk3bhyrV6+mWbNmDBw4UFeWnp7OSy+9xM6dOwkJCWHSpElMnz6dfv36MXv2bGbMmAHA2rVreeKJJ2763G4jt2Trpuy8TZs2dOvWjZd6vEh25g3EJ1MZOGsCmU518Jg8j13vvkr//v1ZunSpyRvC1atXWbx4MVqtlj59+lC7dm2sra1L1EtISOBGdjZ1A4qHSgcE1yPKP5bor604f+IcG0P8yP/1B14fPx4bGxvmzZuPV2tZCCXm5BOT6UZMmqNu/+dDBRpbFwAyQzMAJ/jv89Rf/CYXzl0kpSiVeoF1yczPAPIZs84W38jHuZyRwvaT+/Hz8+Py5ct8+eWXZf3fS8Vi65VOldzT3377bUaNGkXc0aMAZBy/H01IWzSNWyM9+jI9evRg2bJldOrUqUR7kiSxZMkSYmNjad68OZ06dcLZuWQGcJDv6Y51Guk8NSpB4YG6bd6aFLztbdi1axeufrXJiTmHY93GJtuzsrVTcvgU06rl48DjtHA6S9LVOK5o22BlI3ta9x1MxdrBmTrPvcWXW5Zh51Of5OQkoqOj6dOnj4kjVA8hISF4enry77//0rlzZ/766y/++OMPVq1apRua2rlzJ4MHDy6x781cP6bYtm0bZ8+e1Xm3Pvroo0rL1l5VAicV0N31hBB2yrFSytuAJEkLkcd5EUJIABEREezcuZO5c+cSFBTEBx98wL///qvbJzExkREjRrBgwQIefvhhrKysKCoqYvXq1Xz77bf8vuEvnHxdSD15CStbGx7q2In58+fTtKk8CT0nJ4chQ4bw/c8/4hrai4PTncjJeguA2A3g13UibmG29Iw4irOzM24uRXz44YdkpErEfLESB+fGBA2TT1uXr8dFXh26qcYBv7xakAc+1mGQJ0fj+9QKo6HedRJfWBylX692LV5/Sb6wE5Oz+PjznYwYMYJvv/22vP9GA2rVqsXIkSMRQtCiRQsefPBBgoKCANBqtcTHx5erjrHR/vTTT/Tt25f27dsDMHXqVF38hJ2dHXv27CEkJISrV69iY2NDcnIyPXr04LnnniMmJgZPT0/++usv5s+fX6HzKU9MQjVwS7Zuys6trKyYP38+PXv2JCEhgS1btvBZvyF0eLobDwwZgv/sOWz7+CN69erF+vXrdbFnFy5c4Ntvv+W9j/9Hkw5t2ff7OkaPHo2vry+jR49m7NixOvfv2rVrGTp0KE3DQhFCcCTlPIk58hPb7BX2nD8RC+fPcj4+DjufKEZNf48+HVvR8P4wDl2XbxsxmRpi0hzxd82me71MvBwcaahtWHxyStJClUZN5LKM/Ew0NvLDxYSHzjN7kxanNk8S0HMQkiQRt/l3/tO3HycPHdDZXkWx2HqlUyX39E6dOrF7924++OADAgICeO+997jyz7e0nzQT12d6sNVew9NPP82yZcto27YtVlZWFBQUsGLFCr755hs27D2OtbOWG+cmImzt6RbVmY8//lj3PWZkZBAdHc3va9dj2/FlrLwN+6QveOLTXcmLS+eTTz7BoagAB3/zWcNVcdO+TpKJ0lq4uNciEDl+bttVT1q1rMW+g6k41m5InWfkeMy8pGt8vWwuVlbj+eijj8r7b6x0OnXqxM6dO6lbty6FhYU0adKEqKgoNm7cSHBwMHFxcSbXv7uZ68cU3333XaWfk0pVTRM/CehP9wgBzkiSlH2rDdva2jJp0iT69+/Prl27+Prrrw3KL1++TPfu3bG2tWHatGm0adOGvgOH89vvKdi5hZAdH482uDYhwx5nzzUbmoXdz/Lly4mLi6NHjx6s/Hc/tjYjSTn4ixJrU0zshlm698ezcrnvqRDGjRuni/rOyZqr8/LszcjVvUBeXkJdWgIUkWMCc9u9PJwZMSSMP9fefI4db29v3Q+clZUVWq3RYo5FReWqY8zVq1epV6+e7rPx8MKsWbMICAggOjqaY8eOAeDi4kKXLl1Yu3YtW7ZsoVGjRrdtVtQtUmW23qVLF55++mk+//xzTpw4wcVtx7i2dQN1axXw1MShbNiwAWtrawYMGMDQoUNpdl9Lfj18hPavjOHaiVM4u9ei+2vD6fzue8z76mtCuvfg4sWLfP/99wwaNIjZC99m7Z8riMuOZcyPVoz9ooCxXxQULxPhrAEfX+wbPYCztw8bT16gZ//iWAF/TQ6DwxJ5sakT7bybG4qbcjLmRysS4zPxUoLzhRD4PdSLWqH3M/zrJTf9v7MUNzUMAAAgAElEQVTYeqVTZXbu5OTE5MmTGTBgAAcOHGDqqOFsmzmJfQdTcQ5uTn6zrrRv3x4bR2emTZuGpm4jose/xT6Hxjg3DCcv6SqaJm2o/+J89lnVo3H4/axfv54rV64QFRXFqiPJ2PX6ACtvxRsTc7X4pYewssIm/Elee2s+dh2eIaKVZwkvjTHbrnqWeX7t6ySx72BqCe+RnWdtfHqOZNGy25s3LTIykl27drFx40ZdzFNUVBQbNmxg586dZuNvbub6qW6qyoOzApgrhOiAPFY7E/i+sg8ihKBhQzM31SKJt956S/fRpWEIObH7Obh7H//88w+jxryGVdFTIN2gT58+aDQaimo15MbV44D5nBMpR/IhAjZf9WPXrOUlyvUDjHVih4sGGZj1vTTqe1XY6JcZ4+OloUDKp5arI5EPPcL7779foSfc8gRv3UyAl4+PD5cvX9Z91n+/dOlSLl68yIULF7CxseHzzz/nxx9/BKBXr16sWbOGgICAmuiyV6kWW/fx8cHV1ZU967fh2jSCa9fhhdVryU5JJWbLWhxdbHjl58W4Z1zl82mfMKh3f/r06cPjzz2LR2wabd5cwImfFtE0IgIfrZa6r3yIZ3Nvk9+3p6cz6Ynp4CN7YDo9FIh/r3fx1+QQ6m+LlxKfE+YWpIvFMYc6y8pcveiHrYjJdACKOHSu+HnLJbgpf82Zg+NnC/ls7kyio6MrNEvSYuuVTrXd0xs0aEDahTNoLx3HtpY3te7vgVvr7ty4eJRPt53Du8cQ4lMcSDy1BS7v4PieHaxatYrX35pCwLD3cfANpN/rs5DO7ye7Xgds7pdnCeoEjb/5JX2s695Hw559DISNqWSE+w6m6uoYixxTXh11SQrVk6Pi4FOf/NQEbDS16NezB3PnzqV27doV+ZfdMpGRkUydOhU7Ozt69+4NyLP2jh07xvr1682u6l4deYpulSrx4EiSlAw8BywBrgAJwKxSd7pJ2rVrx5dffkndunUBORDZVK6QoryLHN13kNDQUIYNG0azho3Jy/lZV56ZmcmNqwdK7GdMyo4CNl/149IGbYmyqAWPEnOqlckylVi7nBIvKF3YqPXi7HOZ9emjzPioO3YuFwlvGcq4ceNueyrxPn368Ouvv7Jz505SU1N55513dGUFBQUUFhaSk5PD4cOH+fTTT8nPz0eSJB5//HE2bdrEqlWrbus49K1Qnbb+zTffEFyrDjOj+vBNvz4sjx7A3oX/I6JXd/qP6Emt86eZOmASY0eOYfr06bRs2ZJVS3/gwI8/YJt0lO5jXuSFlWuoN/0nNHUbMHuTlh0Jh00eKyjED62XFq2XFn/X4of0Jaet8XJwLJe4AVnYlFZvQHA9YtIcOXRO9uScOBZPYnwm9i0e4/53l+H71CRenDYH54AQg+Ho28W9auvVaec9evTgww8/JOnrCZyZ0Y/kT0egWTeHgozrZPp2JiHbm7zVkylKvcLZQ3to2LAho0ePxtVG4toP76Bpcj/5zZ6joOd8bFv2NRQ3ZaAGH+87mKp7mcNcmbHg0f+senLU14UjV2kw8XuCXlvEz4fTqRPUmGnTplFQUGDcbJUREhKCtbU1a9asISoqCgB7e3vatGnD0qVLzQqcmkClCRxJkupLkrRL7/MqSZICJUnSSJI0SJKkKlu4ZtCgQZw5c4bNmzcTFxfHokWL8Pf3x0bjhUuDSGo1bYmNfYHBSswPP/wwzvUqHsiUkzWXXeM/wS2seJquX9eJOnGjrnqeciRfN5MqM60+ezNydaugG1MekaNykSKu2Qp69mvKOx/1YPvmn+nXr1+lzaq5GcLCwpg3bx59+/alcePGPPLII7qygQMH4urqire3NyNGjGDevHmcPn2aTz75BG9vb8LCwnByciIkJKSUI9xZ3C5bDwwM5Pvvv2fPnj0kJydz+PBhekS05dsxUxnZpj+BDetjY2NNeHi4ztvh6+uLo8aJ5uHykIgqJFTWXdYwZp0tXj4aQpr6AOiGqDp2qkfHTvXYuOMGh85ZsfeaG/6aHGbv0RCXHVvufmfkZ+o8OepfFeNlKVSEtTXp+U441W9K/VEf49GhLw9EdmXnzp3lPm5VcC/Z+u2ycyGEHHgcF8f27duJi4tj/vz5FOz4mdzVUyg8txUrnyZo3LUGw4W9e/fGpWl7042a8toooicoPFD30h9GUkVIaeiLHH1RNH+1DduueurEjakhKpXLp69j6+qJbYve2HefyowFyxg0aFC1DvFERkbSqFEjfHx8dNu6du1KUVGRyfibmsItJ/qrDtQEaBVh//79TJkyhT/+2oJLUDBpJ48QExOjS8R09uxZ2rZtS1KSqSCxsgkdPZWeEUfZm5FLZlp9gBKeG7cwW90wlbpYqP5SE4BO9MhByIZl+qgiSF8kNdU44Jlly5tz/6Z1u8dva6DazTJs2DCCgoJ4/fXXq+wYlZXor6q5GTvPycnhyy+/ZOTIkUQPf5Yln3/HjBkzmDx5sq7OwIED2R0Ti++At0hOln+TQpt64O+aTUyaI8ePyTaalJQlD00he3CiH5ZFzfFjyQaiJzEplwkPpdPOu7nuGPrCJS47ltl7NCQm5dK9xY0Sbaj07+lFTJojiUlyn04ciwcgPTEdrZd8LXl6Oit5gDK5tnsLN/74HxdOHKl2N35lYLH1Ym7G1nfu3MmYMWPYd+YKdt71yDy+g9TUVF0g64EDB3jkkUdwfmoaTgGhOkGhemVKCIyYq+Bfx2DKuCkRYjylXB/9+sYCybiNssSSepxze06St/lDpgx7yiDMwkIx5bXzu1bgAOTn5zN27Fhq1arFq6++WiLfwPbt23n22WeJTehMXvZXFW7/gTkjiawTy+arfrrp5MaoIkfjehGgxGro+pgSOaqw8ctzKCFyVLGUdjyDmR9uZuXqTbRq1arC53E7yMvLIyUlhVatWvHvv/9W6RpLd/NNX2XlypVs3LiRRx991MCrAPL/etSoUaw5d51a3UcCcuxLlL8tiTnZLD7ixfFjyfLMqfg4AIIiw5nQK5eYG44s+bNILkMWPvP6FxmIGzAUOH/HnmL2CnuSkrLw9HSWhdPR05BllNw2qAFtIhuSGJ9ZLK6U4+Pji9ZLqxM4KodmjaB2xAP8+/mcSs+ZUVVYbL0kN2vrWVlZjB8/Xjcz0Hha+B9//MGQIUOIDx+FlcaToPBAXayM6m0xNVVcjY0xVWYOXV392B5zQ2H6HiT9Onrb9Y+VeWoP8WsWsOePFZU2Zfpuorx2XmMW27wZbG1tmT9/PtOnTzeZTOnBBx9k4sSJ4Ljppto/OF2+wapDUSDH6KgvKB6qijnViphTrVi5txmbr/rpZldB8YwrdaaV/ksVM/ozsIyxqWdP08Y+PBzVgYULF97UuVQ3//77L4GBgbzwwgvVtoDk3UzPnj353//+V0LcgDx9ee7cuaQe2UH2lVMA+Dtlo7F1wcvBkYjaKbJ3RRUXyB6e0FpaovxtiX7YShePA+Dl4GjQvn4gsYuthsfrtSK0qQeenvKPj6ensy5g2YD4OHZvPqMTT4AsgrIydX3RFzcAPg/24Oq/26nbqi3JycnUBCy2Xnk4OzvzySef8MYbb5jMefPII4/w4osvUnDgZ4Pt7eskGc6IMiFEypoxpVJi6Mq/TrFQ0X9vDnNiRw8Hv2AcfINofn97fvrpp3L1y0JJqmcJ7juYvn37Mn78ePJuoQ2tbzKXNmh1okadXp6yY5zyt6DElHO/rhPJ7JpOZJ1Y3RDXXi4aCB+VvRm5Jj0/+p6c6DH3M+BSHhOmjiUmJobXX38dR0dHioqKOH/+PPHx8djZ2dGyZctKS/N/K7Rv354bN27c7m7cM7i6uvLM44+y+spJHOs2JuaGI5n5GRxPTWfdIQ/Sjxanz9Q2a0RE7RTAVknad533XlBvFbk01Jpe8FMVOnMOJbB1SyKATuQEhfiR5KUlffd+w51UUaWIJ5wVQWMkiLw87UlMysW343+wahRJwtpF1AuLYO9fa2nSpAlCCK5fv87ly5e5fv06zZo1w9vbKOnJbcJi69VL3759+eyzz0hA9bIEAp7FHhozomLfwdRyDSWVC2ORU44ZXPrYaN2p/cwksjf9Q/9BI7h27RojR47E3t6ewsJCzp07R0JCAk5OTrRo0cJkIk8LFoGDo6MjhYWF2DuOIDf7s7J30ENN6mcOY1Gjj5xTZyKblaVW0uM8DDxB5xcUz1wJGubISuTsyBEu9iUEj07oBDgwaU4Un837nJmzZuDm7ogkSdzIysevtguF2UXEJ2bSsVMXunXrRu/evXWzzyzc/Xh5eZF3Uvbg7L3mRgv3RGJuOBoEHYMcGxPlLy+JsuLSdd7/PoOQpj5819vT5IwoF1uNTtwcSTkPFAcsG5Me1ADOn9Xl2FHx9HSWh7O8tAbb1Bw5iUm5uvdCCJr9dzTXNvxMizYPIhUW4FIngJTTR3Gu24AiG0dyY89j6+rJkCf/Q69evejUqZPBgp8W7l7c3d25evUqtoX5CGszD3OK0HhyULhuk37MjjmRU1qMTYl6+qLGWNiYEDrnD1wo0U6DhzpwztaBsbM+Y8z4CQgnd6TCfCjMR7j4QF4WUnYqjz3ShR49etCrVy+DBT/vde7qGJzysHz5cv47djBpF8xPBzSFg/M4Vn+TzOzkeMPZUya8Neb2d2tng1uYLf6N95XZRujoqbrlH1RKi+cpLCgiNT6Lfy+k4NbYgwe85CfpekWCk0cTOLDnGof+vUY9Hx8+//r7Gh0pXxZ3e1xCefEMqIOmx1icg1sQ2tSDng1jimNsNsspEoIiw1k+RJ75seLSddYdcsLL056I2im6tapKm/a9I+Ew6y7L5Rt33NC1i4+v7MVR43H0Ucq8fDQ6T42+6NIfplK3qwHLnp7OFGSmkht/CSsHJ+rdF05ifCZSUSE5Mecg5gixuzZSkBLH6BeH8fbbb2NnZ3cL/8U7G4uty+uBDX3jQ+wekheLLBFjoxdcrA5LLfvqgK6ucXCyMcaBxbptSru3irmgaKmwACkjHikrCSvfUJ14k7LTKEo4TeG1gxTFHEa4+rPvj58JDw8v0fbdQnWuJl6jadmyJdnJFU/GufqbZDbmpeqGl/RxcB5XqshxcB5n4P0x1YYxKUfy0frWJ7JObAkPjv6wlrr9QHY+aO3wauFjUGcvQKCWB5t7MXjU/ZzfFk/PR7vxzuy5DBs2rEYkb7Jwc3Ru0471Vy6T7doAkL2F/k7ZePl4cF4J6p3QK5fM/Axm79Fw/FgRoU3t6dkwhs5+chbY0sTN75f3EXPDEX9NjpK8jxKBxZ6eztCsUQmRI8fhyE+eXp4lhbuxsAF5tlX60dOKJ8gbravWICsyfvdBq/uo95/nyEmK49NFM9mxowvLli3D19dETJCFu4KWLVsiZZUSn6WIEFOBxRUZniotAPlWMNcHER+HAKjdwnC7oyvWAa2xDmiNVFhA0aV/ua9tR75d/DnPPvtslfSxpnDPC5zAwEBqObgiNe9D4rayh6iiFjzKc36ubMxMZfPVYlegW5itzgNTlgcnJ2sux98v/ix7c/J1uXXktiYatKnPc37F63sY59YxFcNjCl29Vm5MavgQ82a+xaFDh0qsjmzh7qFt27a4nzrFb3rbYm7IQls3Y8mhiCWnrUlMyiUpKYuI2lY6cWOKHQmH5UU3bzgSk1kcyB+T5khSUqLuc1CIIl58NPKQk6dzsXdHQRUvifGZTOiVy8oz/rop5MZTzA2Ij9MNd6n1jIOTHTx9qfv8DE5uXELr1q1Zv369bg06C3cXLVu2xCE/laK8Gwg7eSKIsZAJCg8sNTeNMfoZiE0ORxlhdmq6CW4p7sfIaySsbbAOaodwr8fA4aM5duwYM2fOvLm27wLueYETGxvL9cwUCsohbkJHTyXC5SifnCy+katxMylH8g3WqqoIOVlzSdkxziB5YEBXOR+J1rf4GBrXizTVuOKX54CPdRjxhUf4JiPNwAOkTkcvD6rIidDa0/PN1nwzfgnBwcEMHz7c7ErrFmouBw8e5M80LdQCf9dsvBxs2Zsge1r69/QiwjuFxBxZnCTGJzP6GRfdsBQUe28y8jMNFueUxY3cjrqyuCpMCGoAFAsOdQgqtKkHXj4dTHpmAPYmuPFhRxfAhVe3ZnDCxPlovbSkgyxw4uNI1xM6+qjH9vbTIh5+niRbB0aOHMm7775LmzZtKvZPtHDHc/r0abJxwN7WfF4xk+iJBVPeGePp5iUwsW9ZOXaM65VL6JQjK7NVrTrYdZvCnP+9Qd26dRk0aBAODhX8f9wF3NXTxMtDZmYmRQWmA9EemDPS4PPEyLOs3NtMFxCsCo/zC7JvWtyoBA1zxL/xPrS+ybq8OerLv/E+XYCxPrF2Obp1r9SXKnaM65Y2DLY3I5fD+YVEDQln0ZdzDNLPW7h7OJGZTMb+9TRuWIvu9TI5dN2GmDRHBrdNJibNkZVn/OUhJtdsJvTKLSFuYrPjOJN+hr9jTxmIm9LQemlpE9mQ7i1u0CK4ODOrfpyNfjwNyFPUx7cwPQNKTUSoIz6uxDBYemK6wdRz9ThenvaENvWg3eBBnHOuS/uoR0hLSyu1/xZqHtnZ2VCQS9HlvQZxNqYICg8sXnjTTPxMeaeP69pT0J9OXt7gZFOLgOq2VxBh54xVq4GMnPIu//vf/yq8/93APe/B8fDwoLaPB1euGE7jDB09lfTitCA4OI/jm9jjutlNaoDw8fcrL9NkhIs9uJiPsdENK2kglj1ml37Qb0/dR/XsZKbVN+vlCQzzoU2QB2+PX8D06dPv6mDMe5HHWtzPmRNxePtqANkuEpNyiantqFtvKibTAX9NjsGwlIuthjPpZ9gYow6Xli5qVNQkfV6e9uy9JntuvJRlebw87XWxNsePGe4nT1F30c3O0l8LS6s3y8pA7GRlyjOz1BlaQJIy7KYiH98eG0cntA/9l/SYGJYsWcJLL71UrvOxUDPw8fHBx92FFCd33TazgcEm0BcdNytujD+bG9bSnzml648poVVaEsFSxJl1nXCEsycfffQRY8eOrdCCtXcD97zAGTVqFFeuXCmx3b/xPjLT6uPXdSIAc166xKzNrYDim21lipuUI/nsbSwLG31homIuV47+1HL9usYrmKuUNYTl5aOhSZMmbNq0yWTSOAs1k7179zJj3nxavb2U2m7F9uPlaY+/UzJ7r7mx+pejurw0MZMciG4kTxWPy5YX2QTDXBv+GtMCWx2eUoeGtm4pXnE7US8zsXE91dOy95obA4LhTPoZuS9phsOlanZkgyEqE6QfPQ3NGpWYbg6y10gEtWP58uUWgXMXIUkSgwcPJtn7AWy85OFR4yGlEhmIwaxA0F813BzmBFN5g5BLJA28GUoROVZuddFoNOzdu5f777//5tqvodxbck6P3377jf79+7Ns5Z8my7eNDmXX+E8I6JrOnJcu8clJN1KO5OPWTtaEKTsKcHAeVyl9UduJOWV6mQVV3KgZkTPT6uteKqaCkQGdYFJf5rar62T55TnQu3dvli9fXinnZuH2kpiYyOjRo+n06OMEP/MqdRrWUWJt8vF3ypbXo7qhrAd1/qxuuGfh4nNEf53L7D0aRdyURDdTytyx4zNL5NjRx9RsKYDjx5J5dWsG0V/nEv11LoPDioOV9T0yJTw4xktBGAUeG/fFrn5L9u/fT2JiIhZqPt999x29e/fmz+2HsW7aw6BMXUyzBHo5aszVKW1F8dIoT8xNhbiFKej36j39nhQ4Z8+eZejQofz0008U3rheotx4mvc3sWklFtLUr3uzODiPM9hf65ts4J1RRUx6nIecKflIvm7pB+PEgGqAsvEK5sYYCx0VdV2rWLscfJx2s2LFCgoLC2/63CzcGbzyyit8+scBbDsNo+l/euqCi70cZHuJ8E4hJtNBt9ClitZLq/OsxKQ5lnipxGQ6lBA65oSLvjgBJdBZGary8rQ3mPmkLgAK8orn+vvqLwqqw1lT/ALdWlbm8PR0RtjaQ/1wVq5cabaehZrBgQMHGDt2LKtPgF3YswgrmzLjb8ytA2UK/ZXCy0tVTSM3SRni57391vz666/UhLx3lck9OUS1d+9e0gvNL9SnL240rhfZNjqUnCw5iNhY0JQnqV9ZxzFuc29Grs6bI3tmDGdoxW6Ql3rQn3VVGqp4KS1m51hmjq6eqGuHi1MBU6ZMYdSoUTVy5WYL8sKEv2/ZhVOXkdj6N0YIQYR3Cl4O8g9/Yk4+exPc+HFloiwYFHGgVYZ1bhXjqdrqNlMCSI6zcdSLy0nW1d+4I1PnhTGYbaW3MCcos6qUvDjmxI06VKW+EjK68sr02fj7+9O9e/ebPVULt5ldu3aRUFALO7/wEiuEm1tIU6WyhEh5pnubm25e5uwpdQjKeB2rcnp1hFsAZ2NTmDlzJkOGDLljljGpau65TMYpKSm4e7hDGc35dZ1I076HFXFz8yKmvPh1nUhA13Q0rhd1XpvyZEfWTxqo9S1+6tW4XtQNO5WFKeGTcDmNIytP4+vRssY/4d6r2V1HjBjBV7/8jqbPW/g0CCaqnRPd68nDNIeu27DukBMnjsUXr+KtCAN1mQVznhjAIPBXnxLTxBW8PO2LA5n1PEDqNv3kgDFpjgb7q6uN66Prc1ambiq67rOzBm2zRiX6pi/aVPFVVFBA+q4VnPhhAQd27SA0NNTsOdcE7kVbv3jxIoGBgdgERmET0MFA4FSXuCkP+t4kU56gUkWOsZip4NpWAEXJFyg4spIBUS355ptvyr3fncgdsZq4EOIRIcQZIUSWEOJnIYSLEMJKCPG9ECJZCDGmKo9vzIkTJ3j++eexdig9aOyBOSMJ6JpeIXFzq0NVqjdGX9yoq5KX1oecrLmcX5BtNganrJlWIHt49IXQ3oxcvOu50vXRRlw7d6yUPS3AnWfn2dnZfPzxxyxa+iNu7Z+k2YMtiGrnpAsaXndZw/vfZ7B785nioR5F3Nys58Z46ErFy9OeFsFFysyoUvY3yqOjL668fDQl+qX10sqeG1XclAN9kaTG41jZ2JDfsBv2XnVITb25WIt7iTvN1g8ePMiQIUMQTl5Yt+5tcgmGO0Hc6GNumMtsnBCUawXysrDyCMQ6uAPf/nX4pvaviVSZwBFCuAE/AOOAOoAA3ga6AieAusBDQohqySjXrVs3WrcNZ9PxdAqzTRuYX9eJRC14lEsbtByc7lQhcXMrXh7VA2McVwPlGwJT6+jvay4GpzRUofOcnysNbG34fekRuj/xdIXauNe40+z8t99+o06dOkz74kcChr1H494DaBFcRHSjQhJzsll8xIuFM7fLQznnz+qGeXSZjI2GlRKTckt4Y1RMeWJU1Lgaf9dsnXdGFUH+rnJwc0TtlBIzsdQyY1SRoy90SgxDqYLHRLI/laSkLN1LDYK+unUd2txUGjQov1i6F7mTbL2goIAHH3yQ8Had2XzdE7ueMxA29iXXnTJDdYubW5luXgJV7FQw6FjKu0HBkZXMeW1AhfaryVRlDE5PYL8kSSsAhBCzgTXAeuT5pjbIF0i1jJEdPHgQv95DOPvVxybLH5gzEo3rYYN4m/JyK+LGwXkcWt9kA3Gi9U0m5Yj5AElTbaio7egPV6n45TkQa5dj8NkUhYVFTJvzD4E+dXnrrcqbCn+XckfZ+cWLF7ELa0/jwVPkeBNPe6IbZerEzepPNhZXVmNuzHhuDIaJlBwyIIsQVdyY8troY6pcFTlqzh2DtatKwctHQ2J8pm6auNr3EgHHZaBf3+H6SbI2fcG2HVvumbiEW+COsXUrKyv279+P/aPvIuxlO75TxQ1UfCZWmfE8FRU3hfnkbf0YK++GjB49ukL71mSqUuA0B/QXmzkK+AA7gEHABeAtSZJKWWSmcli7di1phTnEmxE3E77vTVNNCuM/al5ucVOa16a04Srjfdza2RjE27iF2ZIe54FbmFyesqP83iHjNkDOm6NO/4ZikWNO3ADk5BZw5nwSAW3qMWX4k4R37Y+Pjw/+/v4EBwdbFuQ05I6x88LCQuYu+AS3LoMAWRD0bBiDxrY2G2Py5Tw36lRqZ02JYSlTQcGmMCVa9MWQuhxDcZnqKM4tEdejL3LUz/rtmGq/PKQnppc6i4r4OPDSkn35OPaubjw+YwFTu0fISeJ8fGjYsCEuLi4VOuY9wB1j6z/++CO5jj7Y2RVPFilvvprbjX6gcbWRdwMp9Sq4B2B3/0B+eL0XPj4+1KlTh8DAO+P/UhVUWZCxEGIRcEmSpBl62/KBAEmSYsqx/1BgqPKx1dChQ0urXionTpyg0NGW3OSSadkdfPyo55xHulRI3IVbNzph5VNim43GvCCwdixZVpgtUZApfy9SUXyJclPHM3UMa0eBtU0BLnb5OFpbYVtUtjDJt5KPm59fSGZGHlKBRGFhEQWFReTmFhISEoKNjQ1WVlZYW5vOj3KnsXDhwioLvLyT7DwlJYUrsbE41w5EALbWRbjaF2FnZUNqXgEx125AkbJcgp099o5y3JeNTflHqm1LqZtfUGS2TH9/W+vierbWRdhaSeTr2WZ+oZXp90r7BUZ/VQrzDdMaWNtaG5RZ21oX1ynIx9rRAY3GjqzkZApzc5GKCrG2KqIoPw9bB0eaNmxAbm5ujVrD516x9SNHjpBv7w62sgi2d7LHyVH+vlOSb5Sob+9kPmC+Msi9YSjAzR1P7eON7PKl4DBu95YozEfKzQKpCIoKEaIIKS+XsLBmALr7ek2gvHZelQJnLpAnSdJk5bMdcn54J0mSTE/BMN/WTUfcHzp0iPYd2lB38DhOfDijRPkDc0YyIyibKecd2TX+k5s6hoo5z42aHFD3WQkoNhUYrK4gnrKjACh7+Es9pvExVNSZWfqJ/EpDfwjLmHfH/0WjYA8274wjPz+fFi1a0L17d5544glCQkJKbfd2UpUzS+4UO8/NzSW8WxcK6negRbkYuogAACAASURBVD85biqidgpR/rYk5mQze5OW3T/9o/PgaNvcZzLmpixKm1lVlpdFf4hLxV+Tg79TtsGaVvpeHH1vkfHMKihjlXE9VI9O+tHT8gYfX4JC/HTDXudPxOq8WcEcYM83X2NlY0Pulcs4ODjQrVs3Hn30Ubp3735HC557wda3bNnCQ4/2xa7nbETsNYPAYlPDU9XluTG1HIQxZS7YWUa7lU3umjew8muGNn4P+fn5tG7dWndPv5Nj0spr51U5RHUSecxWJQQ4U9EL4VaIiYmhTZs2RD4bwhUTytTBeRwjm1wjFkiPq2NSoJRneEhfZKjCpCzMzXpStwcNc1SEjukhqrKEjUp6nAcaV3l5h9KmjJcmbFSEo+DvnRcY80Yn/OtoOXk0gb3bv+P9ee8QGBRKdHQ0/fv3x8vLq8y27iJuu50DDB8+nKtX0gh7sjOJSbm0CC6ihXsBGlt3lpy2NhA3OGsMxE1FhoJMTf+uKGoMDpSdDVk/3scU6vCaKnTU+BpTsTk6caOHfoLD9MR00hPTsfF2JO7oETw69cPq4TdJPHeGny6e4ofxb+Pwwgv07duX6Oho2rVrd68N1952Wz9x4gTdu3fHpuWzsrhRUIVDVYqBsiiPkLqZoany5NepEPqzsKztKbqyn6zIMQhnd7bFn2TrorWMnzqDdvc1Izo6mn79+uHm5lZ5x69GqlLgrADmCiE6II/VzgS+r8LjlcDT0xMrKyvywn3l0WEjXl10jpaFHfgu+x/dMgzlFSjGqELDlOAw5bFRPTWltqlL5DfRoF/mPELGGAcaH8vMAY1hcLG+sNGfUm5KDPV+pjmJDlZkeThxJr+A5q38ad7Kn15DmhO3P4U/fvmGKZMn06dvXxYtWlRjhrBukdtu5wB+fn44BEdg6yLf6A+ds6J7PcjMz5DXctJfxkBvlpGxQDGOnymLisbGqKiiRQ02VjG1vpUqckz1TX8lcpPeHCW/j35SQFX8GIgivfI8bSCufaeRpW2EVljR4IH7SEpqDBE9KUxP4rvjm1n8+NPUr2XHd999R5s2bW7qf1ADue227ufnh7W1NUX120Bs8aiYuTWj7pS4m2qltDW2jKaY29Z7COHkgcgqBFd7rGu3wLp2C2xaPc2e2GPsmvkFw196jZdHDOHDDz+scYK+ygSOJEnJQojngCWAF7AMqNj0pFvEzs6OevXqkRWbiSRJhI6eWmKBzPjCIyWmU1dkVpTqSVEFiL740A03mREy5kSOvmAxJ15MbTdO9AfKCuUUJ/wzJW6Mc+UYixtdeW0NWqPtTTUOWFlb4d/ag9da1OaNvL68/tHvjB8/nnnz5pns+93EnWDnAI0aNSJnzXYAEuIyEEKQmJOPl4Pi/XAuHooyFXxbXqFiLIhudj8VfaED5j06+iJHd2yjtaU8PZ0NvDZaLy2o52q8CrkSZFyiHnDx7HXQNiquq0dWrh0EP4yNcxiX4w7Tu3dvdu3aRd26dc2f/F3CnWDrrq6uODs7k5KVDH61a9wPbrVgboaVifw5VrUCDMuVfYWVjU7sSHlZfPTtB3h5eTFlypSq6HGVUaVLNUiStApYVZXHKI0zZ85w6tQpZlvV58PfP6Ld4004Xo799GdI3exsKTAfY2P82bhe+T07Jb00hsIGA2HTpc9i/vp1MGBe3JjbVl4y7c4w4bkonnj5XaKjo/nrr79IT08nKiqKNm3aYGtbvuUlahK3284BVq5ciVZjS/quFcT8tY4Wkz5HDo8oiTo8VZ7hJVVEGK8ADsW5boy3G+9j0J7R/irGQqe8U8eN16jSz+ejZkAuIXoAfHwNZloZzLrSX51cqaePuoq5tRDEpZziq6++olmzZuzevZtmzZrRtWtXfH3N5+KpydxuW9+zZw9JSUlYZ10nb8tH2LR6mobd5YU1q31mEqbjbs4fuFBtnqPs7/6L47Nflq+yKnwqmChQ2Dlje/9A3njnPXr06MHGjRvJy8sjKiqKiIgIbGzu3BWf7vqlGpYsWcKLI0agdbYnudCVvOsXdWXy9HAHvolN49gvzXXby8oerE95Y2FAFiaqINHPV6OfA0d/qrc5Uo7kG7SlihrAYCFNY6+NqTibWxEz+sdQ8ctzYPf+K0yeuYHavlraNW+KxtmR/afjuHDlKpGRkXTt2pXmzZuTn59Pbm4uubm5NG/enODg4FvqiznuhfT1165d49lnn2XX/gMUFhTQfOLnvDPIn8ScfBbv9GD35jO6H+6gyHCTAqeiw01liRt9D0tZwczGfTFO9qe/BIS54/6fvTMPj6q6//B7skCWSSAkISTsIApERCQq+hMBCy61Lq27VXGtWrBuRUELbnUpIJUqdasLWrUubV0r7oiIokFACIuyL1kIEJJMyJ77+2PmTM7cuXfmzmQmmQz3fZ55mNzl3HMnhzuffNct60uA1ro+/gKQvUSLKmj0GBQNVEVR43t3o1WWQvbhiOzDyEiooHJDIUMHDuDUU09lwoQJpKametZ5UlISv/jFLyLmvo31ta5pGk8++SRTb76FBEcGyf2H0+eyWR0SYBwoLiac145YDI4eE+tP89ZvafzmWUR6LnG9hkFcAgkHNpFSX8GECRM49dRTGTZsGA0NDTQ0NFBfX09BQUHELJtW13nMCxyArVu3MnZMAbv3tHYOH37bLGaM3wS4uoUXbxztZTkJVuRknJjgE2vjT6ToLS/6Csb+jq8qzTTsO2WEKkDUhprqtmAJ1N+qqbGZqqp68tN6AJAT7yrqs7/SyfIff2LZqo1sLy6nS2ICad17kZCYwHc/rOTyyZOZNWsWPXr0CHpO/oj1h76kubmZmTNn8sJ773P+gie5crjgpZ/i+XTZQbYsdpcvUbKHwiFw9Ofo3UY+55gIHfMGnK2YBRuX76336VcVqOWEFEOAf4EDPiJHdfENyotj8856qve75jpoWC5ZWUlUb13P/rXLqdywkoR4jbiEBOITu1C7v5wEmvjXU0/yi1/8wv91Q+BQWevr1q1j5Aknk3fxDBxDjmlXgROM2IiUwDKag+XmnWYCx0/xQK25ERpqEMndvVxZfQen07N+PcUrvqV08w7qa5tIyUgHEUft9nXccfMUpk+fTnq69cK1VoiGLKqoYP/+/fzud79DOzwVFIGTd8QKoBtFzjqclQMAX3dRsC0Y9EHEweBPwECrlcZZOcDQchNsWwZJviPJksgprK7327xTH6DcIzMFGryP6dHNwRljj+GMscd4be+bfzrl+/bx8N8eZ+jQocyYMYOpU6fGpDsrkrz22mv84x//YPQjL9KnexPrDtRSXJnH3r3lIY8ZjBVGHmMmcqQAMRtHtc5IjNpBmDX0tJr2Xl7m9LLC+FhpdC4qM7KyUtlSXOMSN1tcfyxtKSuF8aMgbSADzh3hOVbel6ZpHFz5P35zxWTGjjqauXPnMnTo0IBztmmltLSUa6+9lm6jJuIY4nqWtMU9FUgsWMEs00luC7fQkdczG9ev2AmyCjKAiE8EKW7AI3J2bq5iJ70h5zwGne6aUz/3tRsPlPP3Rc/zwgtHcO+993Lttde2e+JJ56jqEyJr167lmJEjyUgupaXrpZ7tSanTKEjrSpGzzkcYSGFi5HJKSp1m+DJzT215utZvI8xAOLpt87wAjxALN1Y6jhsRqKaOpKx5DWXNa3y2980/3fM+OzOTeffdy3sLn+eDDz7gjDPOoLLStzCjjS8tLS1c8rsLmTpjBkff9ySHD80kL6WWwj0ZrSIgp5fny9rTh0nXikFPIGuMkSDRn5Od4/Dtb+XuAQUmbi53/6vVm+O8emHJXlZG/bGsuMDUmCFp4UnPTveIHc97+Vm5M66MgrJlx3UjPNYyHXndajm2zwGGTDiFy155jcpBgzn55JN5770ODd/qVHz33Xf0HTqC7509ceZNbPN4wVhjVLGiCgj53l+zTHluOF1NVkVTxNx0AWJ5xowfQu+L7yT5ont56aWXOO+88zh40LcIYySJWYGjaRpXXXUVl585husnH8eBb1urnkpBUlhdH1A0yBgbo4DijBMTvFxTnu1uS5Bq/ZHZVFLsmLmkHN22ua1LrTgrB4Qsbgqr6z2vcFDkrPOy1kiRY0UkqSJHihtV5AAMPeww3nhiPoN65XDi8cexa1donXMPJf773//y3dc/cPE/XmDYSN+/znzqwSg/ByzO5xYogawufgsAmgglKbJUweNvPv4af/rMWxE0+rkNz88kO8fBsPwcTwPPQcNyGZafw7D8HL8tHuS+8jInw/MzW48fdJgrU63GCTVOj4iUc1HJc9TRr0cLvc64hgkPPcIlV13Nk08+aem+DmVaWlq47LLLyPnVjSSMOBsh4rwEQ1vFgxQoRoIg0NhWBEy4RM6WlVuDHsNvp/JgyOvT+gIvkWNkURp9dHeS+xxOxVn3sHjnQbKGFVBeHrpFOVhiVuB8++23VFRUcOst9wLeqd8Vy5rIdyRRkNbVYyFJ77XP81KtOBknJlgKJM4Ykeh5yUrEgbKszJBixoqwUY8xOt7KGEYuKtlZHFqF4OJduV7H6IOW1XOM9lslPj6e2bP+xCXnnsOYY4/lm2++CWmcQ4X58+dz8U2XMjA3kTxHHQU9Kzz7/LmLvNxPBkJAFTWqCNHjT3jI2Ji9e2uMG3oGsBKp1/C7v8zpiSsyE1tqTI88Rr3H7KyujBzc4hE8UvScPK4fx48f4iV8pLtNFgr07Et1wKDDGJaf4zW27Kqun09L7wLO+/tT3PXww9xxxx3U1ES8jVOnZdGiRaSnp5M+crxnW6AvbSuBwFa+/I2OUbOmrFwrmHn5Oy8cYiUsgkcVOnj/LvQ1iURCInkXTyd1yGh6DzuaVatWte3aFonZGJykpCTq6upobGoiJ36EVzyNkVDxjXFRGmAaFe9TtqlBxVLcyKKB0sKjHqNmTunjbZyVA7xia/TixGyf/r2j2za/wiZQ3I2631k5wDNPGYsD/l1UZvvKmtd4go79IYTgpmuupm9eHhddcD4ZmVlMmjSJ9PR0hg0bxvnnn2/XwHCTnJxMTXUNY3s0UV7X6g51xaroTMLu+BJpw8nOcXisMGZuKsN0b5Pt/mJwAmF0XiDXk5q1FWxVZaPjiyuTGZ7vHfdTXImni7k6L/l5eRUKxLjOkGe8FHcc0cHkVsHTrQ8XPPUs//nLwzzbpw9nnXUW/fr1Iz09ncsvv5zc3FzT8Q4lkpOTqa6u5tij0hDC+pdze6ZtR4pwubb0qez6z8UsHimY6+vFjQwAF0LQ8/Sr6ZKZy7HjJjLqiEGMHz8eh8PB0Ucfzdlnn20yYujEdBbVOeecw4lHHckNV1zO+V/8kU+v/wBwZVCdXbCWx65zpSUPuj6ZvCNWUJDW1WOtkAJEpmSDK6YGfIv5qagCx2i/Png4GFRxA+YxOUYxO/4yrQIhPxO1xo6VvlZGSHGjd035o6Wlha+Wf8fKNWuoqa3lvY8+5sJLf8t9991n6fxYzyxZtmwZ5198Hg8ueoY9Ta4v17yUWt79OY/yvfWsLyrzfDl7ZQ+BV92YUFHFTqjixgpGsTzqvkACRx+k7DWWLp6ooLfLCiZr8azeHOex1mRlpTI83/V8WPLlDh+BI9PwPXPL6kpet1ovy5qK7MNV7EzCUbubdV8spaaikt07yile8R0bVq4mJ8c85kcllte6pmmMGzeOw848gabRF/sEFqsxMuEIHA5EOEVHIBFmpc9VONHPx8q9yuMDdXVfseoAWkszNT+tIJPd7NxWQeWqz5n9p2nccsstluZnp4kDTz75JK+9tJD3XnqRnUWLOPXvezz71DTwpNRpDLo+mfRe+xjfp8QwNqeqNDNg+re/isX6ejfBCh29uAG8hJg+s8rI8tMWgSNRM6naS+Do2bF7NyeffQ77DlRZ6n4byw99gLq6Ovr178vdz91Lj6GttYQK92R4vswLeldQ7EzyfFGrPZuk+FGtL6EInkDZU5JAKdxm6EWUnG8w1ptAva38FRpcvbl1rckYHHCJHGiNbZJp+CojB7d4BE7xwWSPJceM4oPJFDuT+PKBu5h63iVce+21Vm4v5tf6Qw89xL+//JD8aX/zCBx/4iBSwsAoHT1UwWNV4ESDFcrfPVoVOEZ8/UEhO1++l4a9uwMfjJ0mDsCcOXP4xQljaGxspG/+6cy+6QEuP/tVw/RvlzjJpNAtBArZ5tmnppFbwag6caA6N/4I5G5S0VttrGAWgCwFkVHxwI6kX+/edE9PZfXq1YwaNaqjp9PhLFy4kObmFk4eWEBL92bWHaii+GCy6wvV/aWanZTIyB5OwEF5mbfAkPExbbG+GKWT62vTtBWj+UmREQp6sWMUJ6MycrArUUFfdfnkcf1c8/Pj4iuuTKbY3TndjOHd0ymvk/td/2YfcyKffvqpZYETy7S0tDB37lzOveJXHJdbBuSwYtUBw8DWSFU1NquzE44AZ7NrhS1AOAz4s+pIEWbWF0zlpD57AVi6KwuAE385mtf+UcvWrVsZODB89xqzQcYA77zzDtv2lHPKxb9l246dHouDXtzoY2xknIn8YpdByBI1IFndLoOM1fdqxWErqELISnq4nENVaabPy+g8NasqlOwqNYsq1CDitrCzaBE7ixYxafxEPv3003a/fjQyefJk7ph2B5PGncmSl5ejaRp5KbUM757O8O7pZCe51uTq/QleVggVVYhYiXvRv4z265EZS/rrhiKCQom5AYOWEN1qPS+rFPSu4IyRBz1iSJ5rZT4ed9TBZM9LjxpH1bfgWD777DNaWlp8jjvUiIuL46OPPuKnwi28eM295CduMDxOFTdqCndbMatz0xZx429e0SJqIoUUN+CyyKQOOYbPPvssrNeIaYEzYsQIPv74Y66//npO++3lNNRPYMzsKV7HDL9tFhkjEuk/qYqzC9Z6tqtf/FIo6AWNRL9d/7PeetOWOBw5njqmGi8ULszcWfJzkULHTOTkxI8wfIWL8f93Ih9//HHYxuvMJCUlceedd/LDDz/w4osv8tXs/5ARLyivq8WRmNbacJNWq0pVeZWhq6gtsThqOrmRcAnVmuMvRT1U9G4qKVYC9b9Sj7PSK0ude7EzicLdGRTuzvA5NzspUbHetJKWk0NmZma7ZZ1EO8ceeyxfffUV55xzDk9cdgcDUktMj9WLj7aKEYnVzKtwEM0ixyyrDFwiU75UpOXGiCN/MTbsz/SYFjjgUoZTpkxh4cKFXDblJu7O1TXOc4uR8X1KyHckeaVVq7E4wbqY9P2lVPGhH0st5qfG0hhZYFQxox8nkAstkLXGWTmA4o2jcVYOoLC63ssdJa09euFjJHICCZlQ4292Fi3yvD/p+ONYunQpzc3NIY0Vi/Tr14+lS5eyadMmPn/FFVDvbKzGkZjmOUbffLKqvMrzAmtWCLU2jvpSLTfSWqO32hjF4/iLyTHLyvJYj9wiR6aqWxE98jhZONAIM/FiJGwMg5b9pNX7jHkwmfK6Ro/lRlrcwCWoJkyYwOLFiy2NdSgghGDGjBnMmzePZffdjNbcFPCccAqb9iSsPagiQLBiT1ptVOuNJOfoAr788suwzi/mBY7ktNNOY+y4cfy8ZRDTX/2NZ/u3dyygqjSTwup6r9Ro1UWlYjWuRUV1VcmXvkpxMOgtNXqLUDCWHCnoVDElhZPau8rs85CoIseoajG4hE1bgou9rldWRl5eXruX/o520tLSePjhh/nv8+/SLyWT8rpanI3VZCclM7JHk7HYcGcA7d1bY1idOBD+vsz9WXJCsegYjefTD0sROvr3XnNWflZFixXLjBGe6/gRNh6XmM4SVHww2W3FafRyUQHs2rUrYk0LOzMXXHABRx0xnP9LXBzUeeEqtBeuuBuzcSJR/bi9MYvFMbLkHCzfE/Z1fsgIHIDp06fzyIIn+XX3q722b3m6luKNo70K2Ulrh5EAMRMlqmtKH6djRdQY7de7o2QhQn1sj94tJi08UriYiRP9XMzccGaEo7BfKCz7vpCTTz653a7XmTj++OM5bPAQZv/pUbK6JuFITMORmMbAtJ5MPDHFU8TOyHKyvqisTa4faBUhgQSMmYtMX2DQ7Br+9qvny3sqL3Oyrmhfa9Vk98+rN8f5teYYIY8364vldU/uNHFJnjvYOC/FlTpe0LPCNPh4V2UiS5cuZezYsZbndihx99138+G8hRzR66DPl2k442/CTaSagJqJoo4QScGIG4CyNT+E/Zl+SAmcMWPG8PDDD3PVrbdx/CO/92yvq5nj5fJRv/RlteO2xs0Ea6mRdWeMBIc+sFgdX9bhqVjWxJana9n+iasuipF7ShU96jgypdxqI86OYNn3hfZD3wQhBG+88QbffPYdPyxeDYAjwYEjwcEVhzd7WhV40DWUVEWDFVdLKHE7RuLHaJu/NhGe/bKflUmhQL2Q0scKGaEXMHpUwaK3DKnXkcfmOepaXym1ZCclegWAg3dwsUwT37dlC9nZ2fTqZd7081Dm1FNP5dZbb+Xr2bMA15eqfIG5kIhUYLBVVDESLrEjXUWBLEKRRP/5g0vQqKJm6a4sLxeVjNX5+evvwv5MD5vAEUJ8JYQYo/x8mhDiZyFEjRDiDSFEmnt7nBDiVSHEPiHE7eG6vlWuuuoquiSncEv3I8mdNMOzveSTh03PUVs6hEKo50mRY+V8o1R2WUXZyA0lixrK+UkLk9wHgasdq+Q2hFb4LxSamps71ILTGdZ6RkYG999/P8//9UVS41u/4Hsl53L2kGJDN5SMxdmyvsRSZpRZFpVR7I0R+u7iaqq6kbBRxYgcW2+V8Zqf22qjzxCTc5biZ31RGeuKzP+A0Yscf8JHzln+O3Jwi1fquWqpKa+r9XFHQau4Adj1wwp7nQfg5ptvxlFzgD1rvZucBkpVDvYLPxyuqWDEjD4lO9C15X6rBQPDjdHnrU8H1yODkFsaG6jdXsRJJ50U1jm1WeC4F/1TwEnKtgzgNWAa0AcQwAPu3ZOA9UBfYIIQIvS0jdDmy1133cX8F19i+HmrvfapVpyCtK4s3pXLu4VHGgbX+kMVJVbEib/4FilKjMYxs+4cfc9Bjr7noN+gYylu/I0fCLOaOEZBxuGKvQFY+NEG8o86isGDBwc+OIx0trV+/vnns6+8gjXL1+JscuJscomA4d3TPRYIo7YCakNJPaqoUV1RqogwEiL69/qfrVhqVNGkXlOdg5zb+qIy1heVeVVu1gcs68WPlxtJlzYuBY1e2KhxN/oiibK4n3RHSXEjrTb+xE2eo47K3bvZ8NorXHfddaafSyTobOs8ISGBO++8k/hP/h2R8cOZfSX/bUvAslFmWDgLD4ZCKOJGPa/0nSc4/+wzyc7ODuu8wmHBOQlXwUD1aXg28IOmaW9rmlYBPAJc7N4ngHj3OQJo91LKv/nNb9i/fz9nlHpfumJZE+vm3c/S24aHPLYqFKyKG/Cf4WSUTWVk2dFfO++IFT4CyIqYUjGql6M21bRiuQmXuOmbfzpfbazjrQ8+4NVXX+2IXlSdaq3Hx8dz5513Mm/2fK/tvZJzOaOfqxKvFAzp2ekeYVNVXtXmAGB/cThG1h2j5pd6Aokgf8g2C2b3JQsGellbLNbGMXSNue/HqM6NilktnJqKA3x09zRmzpzJ8ccfb2keYaRTrXNw1YJatWoV+zdt9NoeyFUVacKVUm7UMyqago/bUlgxZcv/aCleyz/+8Y8wzshFmwWOpmkzNU27FlC/SY8CVHvhWiDHrew/BoYBW4GPNU1r9/a58sH/8bJmLzeVLABYVzOHdwuPZHyfEvKOWOETgGyGP0FjJiykeNC7kMyCm624rPwFRkuhohYxtIpaAwd8WzWEu9aNnn/++z88MO+vfPzpZ2Rlmf9VECk641q//PLLWV+0kbINe7y2j8gY5HJVuQWDvi6OFZETTMsFs2OtFBVcX1TWah3J6sqw/BzPKzvH4en4ffK4fp45y/2qhUrtyaXGIQ3L9+7zJGNlAiFdYEbIXlbgbpmhFPgrr2tk9f4E13Yl7Vxabw5WVPDsdbdx5XkXMnXq1IDzCDedcZ137dqV2267Dcfit332GQUfB1OBuL3EkVn/LH+WH6Nt/sRPewo9f5YbKYjW/+cVtr77Mqu+/Jy0tDTT40MlUkHG6UCl/EHTtHqgCUjXNK1F07SLNE3L1DRtvtkAQojfCSEKhRCFkZjgZZddxvr167lrgnFK85anaz11cYxqzqhiw2qcjCou1JeKKnSCTSWX5+mF0vg+JZ44IhX9HMyuo68NpBIocypc1puX3niThx77G18sWcKwYcPCMmaYaNNaj/Q679q1K7fffjtzHnoUwOOmAjguu7en/YBE77IKl8iR1hy9W0qS163WMC5ItQipIkd/rHQVDcvPcYkXZb9a90e9n/Iyp2efUZuGPEedjxUnmIrH6ngyFRzMrTrFziS2bDvIf26awrUXXcpDDz3UEVZKM6L+mX799dfz+eefU7l9i8++0Ud3b1PAcShWmFDERKC5mGVHWbXmWBnf6lhqQLFZvJMUOUYWno/nP8OGt19nxdfLw9qeQSWgwBFC3CWEaDJ4PefntANAsjJGF1zmS+N2ugZomvaMpmkFmqYVWD0nGLp06cKsWbP498dOfvHUL33219XMochZ5/WlrwoI9UvfTKzot6vv9UJBCpmq0ky2f5Lutz2Den0rAshKSwb9XPXxNfprqAX+5L9G9W/U4nyh8uK/3uAvT/ydxV99xRFHHNHm8czoiLUe6XUOcMMNN7DqhzX8tHITjgSXqEhLdGVVFfSs8KSNg7FgCVc/qaysVJ94GRUj8aBaV2SdHomaPSVTwbOzunpq36hNRdXxpDtqeH4mg4blMnJwiytwOMT6N0aNNYudSQEbakryHHUUH0wmrW43X999NTddcTn3339/xMRNrD7THQ4H06ZNY+frj5ke054WjGCDklWrUqBgYtVyE8jyY3SNjiZp49sc/OF9HeWfagAAIABJREFU1i1fRv/+/SN2nYDNNjVNewh4KMhxN+Dy2UqGAT9rmmb9z5924Morr+TRRx/l5t0n87WuAefw22bxbiHkHbGC/pOqPCnZUlCoYmdxZWu3bjU7SY/RdhnAXFhdT/HG0Z4074wRvinr/vDXkNPMNWa2T6aHW72PfEcSJV3qDGNx2mrBWf/zz/z5sfl8s3w5hx12WJvGCkSsrvXk5GTuuece5tz7KO999B+EEFQ3tgYcD893eAmHvXvTvaobp2enm8bS+EPul4G+RunaMjYGchg5uKVVtCjzkcJIIvfpLTnri8pYr5uD3iK1vqiM8qxUhudnuqw2J6a4BIY+U8otdvy5qsrLnGxZX8Leva6O7FLoeAKS3SnhHheUO3hYoh/7v3/+K9ddeCH33nuv6TXDQayuc4CpU6fyt7/9jd77vmJ3pvWU40h1HZfjhTslPBhLTzDWJzPBZDR/1SoTKGNN3V++bjXr//saP69eSe/evS3NK1Qi5aJ6GxgrhBjrjr5/CHg1QtcKmYSEBB588EEWvLmEp1/Z5bVv3bz7PQHHao2Z4o2jAV8XFQS2lJi5pqTI8RTxOzHBK21bngsuQaXWvwnVpRWoMrGK0TxUrKSTyyaZwVp0Zj4yhz/NmhVxcdMGOsVav/LKK9lTupfPPv7CI27AFXA8/Vinl6tKL0Sq1v7U+nKLHquByGbZVWAcnBuMC0haaoKtvLx3bw1Lvtzhup6uYSbg6hUl6+BIcaLrOg4ugZae7S1u5LzA2y2lorfsFDuT2PzdSg5u3cV9990X1L20I51inScnJ3Pvvffyn3nPo2nesc5mhQD1qJaXcATzBnu+P0ESbvGlv0d/sTtWrm3Uf0pF0zQKn3yUp+bNjbi4gQgJHE3T9gGTgZeAncAewLzQTAfy61//mpT0dBo2H+PTiFNPxbImKtY0+ridAIo3jvb0cZIvK5261bHG9ykhvdc++k+q8hpTBjkHKjoYTCq7PzFmJliMXG1qRlW4+XTJV2wvLeXGG2+MyPjhoLOsdSnm75/5MC0tLV6xOL2Sc7ni8GaPRUS6bryocbpeWzYFLXIkZhYf1Y1UXJnMuqJ9njRvVQTpg4FVjAr6mc1Bn8WVl1JrKbDYqPaNDHQ2o3B3hudcj2VHxuK4m2/u3t+Ft+c8yV/+8heSktqnllSwdJZ1Dq6MqriqejK2+f4xZVXk6Am3BUYdN5oyokK9v0DCRh6z7YuP6JfShcsuuyyk6wRL2ASOpmkDNE37Vvn5PU3TBmqa5tA07Sp3UFrUIYRg9uzZ3Dd3HnfpGnGCq1geuFskuN8v3pXLI5f+h0+v/4DHrhvssb4AbP8knVX3pbD9k3SKN462FP+iolpL1LYPElXkWLXUGKV6y31WkZWNVYyEjT4Ox8hqY8WSs2P3bm6660888cQTdOnSxfI824POutZ/85vfkJKSwqsv/AvAR+QU9K7w9EqS1olBw3I5/qKxkKp8iZeVevpXBUJmMqVnp5uKkPTsdNYXlfGvd8s9lhV9YHBVeZXfispSmJ08rp9nmz7+xoi8lNqAqdygWGUUkROM5Uh+rpJiZ5JHzH0x+0GO7t+fCy64wPJ47UFnXecJCQk88sgjvDfnGZobfKdollUV6Ms9mOwks5+tWIYCiZ327GYeDqT4qd+zg28en8MTTzxBXFz7NFE4pFo1mDFu3DhOPeMM3lvUzMvvXuq1Ty2W139SFf0nVXnaH4ArGHnxrlymDK3wCBFVFOnjYqxaO6SrKe+IFZ73i3fl+vTIUlsrGGEmrkIVN9Jik++IXOXivfv3c/H1N3LHjBmceuqpEbnGoYgQgmeeeYa5DzxG9R5fsTAxL9FjxZDp2BNPTGH6hCpvkaNac5b/4HFd6QWFbKPgSenO6upJ65ZCx0rFY8AjkIyQ4kMKCH+WHj1WxI0/jESOuk3fgwpa43tampvYv/Q/9Cwv4vXXX4+mjKlOzznnnMOoI4/hwHuPWz7HX6aVFfS9r0KtWhzKNcNJW8dUBaS06jQeKGfHczN47om/csIJJ7Rp/GAQej9lNCKE0CI9z4qKCvKHDuWF+X/l3p3L+PaOBZ59E58+0/PeWTmA7Z+kG7Z2mPj0mUzO7cbCkkrDmjaqUJCdutWO3XK7kSgJVHHYXyBxoOPUY/X7jao4m4k0KXiCqYXTN/90L2tOZfxATrv4Um648UbmzJkTloe+EAJN06L+26M91jnAPffcQ+EP3/H0awuoaa7xZFY5m5xsrd7D6v0JnoDYiXmJ9ErOpbS2hF/O3U/V8h/MB3YLoPQjDyfLHcir1oORFO7O8GmNIFPIPQX3utXy6bKDnv1qzymJPqOqoHeFxyW05MsdVJVX+QQZSzE10R1cDL7Bv3IML4uLn0ac+kabcp4+KebuaxTuzqB8bz1rH/sj3St389FHH4WtKre91lspLi7myJH5TP3HI2xLPc5nv1mQ7IpVB0KKmzHC3zj62jXhqGwc6BrhvK7K6KO7ez5P/Wd5cOsatj97J/fNvIuZM2e2+VpgfZ3bFhw3GRkZPPjII9w3dx7PDvEOaC3eONoTd+Loto3+k6q8CgRKPr3+Ay4/+1Um53ZjytAKxvcp8dSgUfs7qTEuRmJBH4xckNbVcCw1Td0oFsaq6LHiQlOP0d9DW9C7ql568y1u/+MfmTt3rv0XbYS46667+HHVWgq/XeHZJt1V2UnJTMxL5Ix+Ts7t34Neya5YnF7JuSyZ0Z9nnj2OQWfqXFaSGtcYZq4habko6F3BxBNTfBpe7t1b4+ortbee1ZvjPGJn794an47cKtJ1pU/z1osbaZG64tQ4L3HjL0XcSrdwn/nojlXFUbEzifK99RRv3IK2bS1r1qxp95Yjhwp5eXn8acZM3pn/os8+f/EiN/+qiQuuGhWWL/62Zi+pGLm12hoUHA4CZVBVfPse82Y/HDZxEwwB08QPJaqqquiZnUXf/NN5+d3vue4SV5R3eq99PiLAFQg8w9CSc/nZrzL91d8wsYvrFy/rxOhFgZFI0IsU1cJjdLyzcgCklQQlOIysNWbp7ep2I2tOW9xUeusNwJJvvuHVW28LeUybwHTp0oXy8nIG9O6PI8HhFYsjyU5yfSmr+xwJDs7pN5rjrivlu3OH88jbXdmy2LvBITVOKCtlb3Y65XsdFHfzXR/SgmGGbIRZvrfe055BihvPv446irsl8emyg+76OA6UMi0eN5Vq9TGyJvnDI4Iqk4HWjK28brV+LTqS4spkr9gbVUR1r9vEqIkTSU5um4vMxj9VVVWkZ2VwUp+9fovOeW9zHXfzr5pYevQoSxYdf5YQo6rJ4apRE01xOHqhIz/T5OK1nHvusx0xJVvgqFx00UXce889lJTt4ayhM3n2tQe83E3SPVWxrAmAQdcnUvKJ8ViPXPofFs+ewpShFa0iwBE4pVru17utVKTQkPV3Cqt9xwkUY6MXN1bO8YdaB6eseU1AN5VZfZyEhETbchNhhBBcddVVLHz+n9z3oOuvKilkHInm5dI9x7iFzvArf+alE/+PT5cddNW6UQKPq9b+5K5J0yo08rrV+ogbab0xisNRxUlxpUugyBTrwj0uN9Lw/EzWFfm6hfK6SYHicnOpLRFASQ/X/Quu6wQq+udP5HjPO9nH1VVetg/toGav83bgsssuY+6xf+W8P16HFC6BaBU7WZzUZy8n9cGy0AlEOASJUWPNUK8dzngbyYpVB7y2d+nSpcPWuu2iUujVqxfXXHstv58+gwNVVZw1dCbTM3O84l5KPnmYupo51NXMYcvTtQy/bZbpeN/esYAFGzIo6dJa9ddqkLFe1MjzZN+qwup6T3E/fR8rvXgxqnljllmln5+630wAGbVrMKpqrGKWSZWSnMTBgwcNzrAJJ3fddRcLn/8niz74mLRE8zRnGZ8jkV3JS2pL6ZWcy+/zXS6f48cPgZxeLteV4qqS6d76mBu1+za0tnJwFc5zdwU3sPLI5pTFlcms3ux6fKlxO5I8d5E9KYiMivlBq1XFqyeUidvKI6Is9Knyuob7urL1Q3aOg4ysNHudtwOHHXYYF/3mfF760zyO7bETCOxSkaxYdYD57ycw//0Ez3n+BIGV7Cf12GDaK5gV7gtWoOjHikSKuv7zTU5O7rC1bltwdDz88MPcfvvtnHLeBbz0+N8oOGoafy1axCu1X1HINpKUiscyWyp30gxPttWWp2u9KiJv/ySdoj4lXsJBBhdLzESEPgDZI3JozZpaXIlXn6zxfUq8jpXjSGEkCZRiLucoXVRG4ia3IclvLyorlhw9SV2TqK2NquKoMUnfvn354P0PuOCCC1i96kcu/cPFJCR4Pw6kuDFzY8l95/aHYudB1helUwWtlpyyUmQ0TlZWqqHAMLLcqC0dypXAYxUpflS3kYqa/i3fG6Vpe51jEOMjj1EtRFZaOujHknVwZIPO+Lo4Uux13i4sWLCAG2+8kb9ccgsFM+aR3qe/50tYHxhrFpsjrRKu4wLHywTCrNlnIMGib7RpFaPYnUi4t4w+v5SUlA57ptsWHB2JiYn87W9/494H/sy5V17NrNlzyBgwlt8mj2V6Zg4nzVvH8NtmeYka+W96r30Mut77oZkxItGwE3mwxfFyG1xp2fmOJCbndmNil+7kO5IMC/9JcSJFlGwDoa+ArKJ2CletRWbiBgI32oTAlhw9ybYFp9044YQT+P7771n+9QouOeVyNq74yWu/tNaAS8gYWXPkvjxHXatYyenl+tedSs6WTV4BxP7Iyko1bO1gVVhAa28niezSbQVPiwZdzI9nDrLCsRJ87K+n1urNcR5LE+BJla+u0ex13k4kJSXx/PPPc/ct0/j01smsfukpT30cf40iVaxafYK1zKj4i+GJRNBwOC03/gr9paSkdNhatwWOCZdffjlr163jQEMTY355Fit3xTF6xB95a8JcXh+bwcvXl3F2wVqf884uWMvL717K9Fd/w5jZU1g3735W3ZfCgg0ZHtFhZr0xQw3klUJHIjO7ZL0cI+EkxUzFmkafffr4G6PzVXeWPpsq3BysraVr19BjgWyCIzc3l08++YQZ0+/mxsv/wH23PEjFfteDSooaVejo6Z3qeuie278HE09Mac1cku4qgFSHp+qxv2J9ErX9gWq9Ka5MpnB3hieNG/Cy3uizldSXOoZeoICx9SbPUUdBzwpPAUQjpGAxQl5DddHJcVoa6ux13o4IIbjxxhtZ/+Nahhzcx3vXXcDu77/2Oc5MyOhTysMpNozES6BCgFYzrqwWJowkNTU1HbbWbReVH3Jycli4cCFffvklv//973n5zbe4744/Mjz/dPpyOjlFi8gf/z0LNrQ+cAur68l3JDGxS3cWK2NVlWZSqDTELFSK88n+UgCL3RWK1Zo5ekuJKnDC2SpBHUcNrlZdYOm99lHINqBVFEmrj1nDTb0Vx8xtpWkaRRs2MmJEcG4tm7YhhOCSSy7hl7/8JbNmzeKcMeczfeYfufzKS+nSpYtPJpX688bKNRzRbQS7a7by+3yAbFZvzqG8zMne7HSq1rqtQoq7ykgQyG0uV1Cmj6Vn9eY4spUYUX0grxH6AF8z8rrVmsbVSOuPd0aV97kFvev4cHVKwOuo1JVssdd5B9C3b1/eeustPvzwQ6ZOncqmD99m1NU3kd6ntQK2WtNFRQ2ela4qMLaEWHEBhbvxZrC1eMzcZGb3H8iNZ4TW3MzGjRsZPny45XPCiW3BscC4ceNYuXIlp59zLr++5ndcfcttbNy0mb75p3PW0Jn8eZDrIVpVmknxxtGewOIpQysYM3uKl9uqqjSTVfel8On1H/Bu4ZFMzu3mcz2zruASNWjZCtKNlTEi0dPiwWqXclXc+ENvzQl2jgDlFVVoLY306tUrqPNswkO3bt2YP38+ixYt4qP3P2P0kSfy8ouvkpWQ6eWeUt87G6tZsXcZziYnjgQHVxzezDUn7OOKU+O47dI0VwXknNbfpww81osc2QdLplWPHNzi1QAUvOvLLPlyh+Fr9eY4w/gaiV7wZGd1tRQ0LC1BLkHjm24u55+d1dUTAK0XaVJIZWd1hYodHHXUUQGvaxMZzjjjDNauXcvvTpvAoluuZNmce6guaW247M+So4/bMXMftcUFJMf01/jTX00co1YRRlYio2PV+wvkmjNzTclz68t30KdPH1JTA1crjwR2JeMgcTqdLFiwgEcffZQJJ4zhjik3ctjAgRT+OIfLn3alxPafVMV4d2DxwpJKACbndqPIWce7hUeybt79nvGG3zaLGeM3eSwmVaWZHhEyObebVyCvUQq5JFDAr5wHeNe28ZcaHigw2ag/lX4u/urk6C05S39Yz4vvfMG3q38yOSM07OquofH1119zzz33sHnLJu68+3YuvOR8arXWNSYtOc7Gaq/0cmejd92CR7538P5bre5c1QUlXVaqK8ooQFdftdioZxXAoGG5TDwxpTVzyS0q9DE4Rt3BTa04uo7iqsXHqNu4UZyRKtaKK5P5ZMoFfPrGKxQUFBheM1TstR48Bw4cYP78+Tz++ONkHDuWEb+9FkevPM9+M4uFWYp0oHo3wWAlM8tKI1Cr1Y6NMLPomB2r8vkL/+aEho28+eabls63itV1bgucEKmurubxxx9n7pzZvPns0xSMHEnhj3P40xbXg04KHCNRcsfj/b0KBA6/bRZnF6z1ya6S/Z6sWEKkkDA7Vg04Bld1ZnC5nMb3KfHbiFOf5aX/2aqLzEjsqCLnxbe/oKn7QB577DFL41nFfui3jSVLljDj7jvJ7pnNS689R3Vjq4tKH5tjlnH19vb9fLg6xScGx6gFA/jWmTESDeuLyjwCZ9CwXM9Y/vo/GW1ThYu6X2IkYmStHP25/shz1FG4O4M9ZTV8d+Mp7Nu3j5SU4FxbgbDXeuhUVFQwb948Zs//G6f/9Xm69R/k2RfoC96o/1K4sCJOArnEIiFwrFh39nz4HFNPHsI999zj99hgsbrO7RicEElLS+Ouu+6iurqaB+Y9xvw/P0DBUdN4Nt6VUi5Rv/ylWJl903YWTJriKRpYsaaRxb1yQZdOLgWBP5EjhUsRdX6Fhl48yYDjijXpLJ7Uap1xVg4wtNT4w59lSd0XyKqzqy6ZUzrIV2tjzsknn8w7/32PwYMH8a9X3uDCS86nptmVFaEXNGbByOf278HIHnv4cIfD5b4pc3pSwTFsjuktbrKzunqJHCmUpDVoeH6mWxR5jyLjZ1TRImvjyP2e90q9GhVpATLrLaU/zgzZpmHn6jXk5uaGXdzYtI2MjAweeOABysvL+eC5xzn+DzNIyepp6Vwjt44qCsKVlu3PFWZ2jXBkSwVjxVGPOyahnOHDz2nz9UPFtuC0kdraWubOnctf5z3KNZdewt03/4EVa+b6DQxW90nXkd5tJNs8qOjH1FtlJDKuxyjLSbXgyJo9w2+b5Uk1V11kgdxXcq4qZo1DVUuPXuDkxI/gqxXreeSlRaxYsYKsLGsVR61i/1UbHr755hum/mEKQgj+/ux8eh/W22u/mbhxNlZTXtcqDqTIWV9U5ql5A95p4dIao3dNga81Rx+rY0RBT9+4GRlArI/XUSsZ+4vPsZp6rrLqZ/hh1hU8ePsU/vCHPwR9fiDstd52qqurefjhh5m34EnyL7yC/IuuBNpumQmn68poTHXscDULDYS/WKXKlZ/hWPEW33//PWlp5hXSQ8FuttlOJCcnM3PmTNasLeLlN99iy/btPrEluQ1J5MSP8Nou08X1zTPVmBejcdTzwVvcyPMXllSapnDL6+UdsYKMExM8TUNl4LEVcaOOoxdXZo04C6vr/aaVL125nptvvjns4sYmfJxwwgl8v7yQseP+j8cfe9LvsfqaOQDldY2U1zVS0LOC7KyuXuLGCGm5kS+J/mcr+NTFUWrjqP2iQGfV0b03Sj23PIfKZNLiq0mpO8BNN90U9Pk27UNaWhoPPfQQ61f9wJpXn6Ou0iWOrdbCiQTBpHuH4o4Kd00cAOeG5dx5551hFzfB0GaBI4SYLITYJoRwCiG+FEIc4d5+mhDiZyFEjRDiDSFEmnt7nBDiVSHEPiHE7W29frTQu3dvjhw6lM3bttM3/3SObj7WU7NGFSo58SM8QqWwup7Fu3J5t/BI3i080idjSZ9erQ82NqqhU1Wa6WnloMcndub8H+k/qYr0Xvs8wspqdpU6TjA1coqcvtlVZc1r2FW6L+q7KttrHeLi4jj7l79my6YtPvuMRA24+ltlJyWTnZRIdlKipetIF5RZYUC5PVihIzESKHqhY3kspa6O13iK9UfuryndRd6A3KjuQ2WvcxcDBw4kvd9Aqnfv8GwzEjntIXz8WViCKQLoT8iYpburLrBAQki1cjXsK+nwZ3qbBI4QYgiwALgRyAYWAf8SQmQArwHTgD6AAB5wnzYJWA/0BSYIIcwb4XQyhh89ik3btgGuZpJ6q42K6srZ8nSt5wUuISLTrNUXeAsHtQ+VFCjS1eSsHMDiXbk+4kMvcqTlRi9sjESLvuCfHF9veTLDX1HD3Xv2MWjQINP9HY291ls5/PDD2fTzZsMeVlLk+AQfJ6YxMK2np0s5uNxQWVmpnpceVeTohY6aVq5HxtyoL2i13ISKP3eVnIesXCyLEuqpKd1N/pAjQ55DpLHXuTfpvftRtWuH6f5gxI1R/6hw9oKKdKVjo/FlmriR+66xorTDn+ltDTI+BfhC07QPAYQQc4EHgbOBHzRNe9u9/RHgA+AWXP8x4t3XFkB0OmJDYMiQIaz+dpnnZ7OO2WU/uiwzsiN4xokJng7l0oqzEHM3kSoU5PFquwbVEiRjarzOd4+tFxzBWHGKN46mYk0jGSPkv4le55mlmBsVL9z/YyVVdS0drvYDYK91N3l5eTira6iudoJiCDGKwdEHIbusOdJS4q4mHKC6sb5TuIpMIbcSh+N1D6p1xSSF3CsbS/azcmdCqfvzutV62jGocUNqVlZxZTJaczPbP3uPSydfHNRc2xl7nStcefLxvLlhu9c2f1acQHE67VlBOBwY1dOxgnPDd+SkJZGXlxf44AjSVoHzNvCR8vNo4CBwFLBS2b4WyHEr+4+Bq4CtwP2aphk64YUQvwN+18b5tSuZmZnUWHjO5sSPgIY14HBVNHZ9XK1IgWIkRFTRYCRkjArzGYkco/5YRtdwdNtmqZ2EFQrSunq515yVA0gUG1k1bymvvfRWtGeVRGStd8Z1LoQgMzOTiv0V9Ovf1yttHMxdVSADjltbhqguJil01Po45WVOzzFWKhNL4eKVKeXHaiODjAONW3ww2auBp+n1u9WS1w2vbC6ZPbX1rSfRWlqYOnWq3zE6GPuZrpCZmcnY7qUEbjASPPqifZEWP1aCj9V5BDsfKe4a9pey+/W/8MX/3iEurmPDfNskcDRNK5PvhRDnAU8B04GRwHbluHohRBOQrmmaE7jIwtjPAM+4x+4UfxE4HA5qasyDJiV93a0edhYtgtzvuYPWzuRq+nb/SQNYrDwoA1UVlvv1PacyRiR6iRy1NYSKXgTJY8E7jVwdV3+sbOOgtnmQ46qiytFtG1pzC6ufXc8tU6Zx5pln+r23jiZSa70zrnOA1NRUnwZ6gYSNIzGN8rpaCvdkeMWsSKuHWt1YihyzPk8S2SpBj4z1Ka9r9Igdq+4pM7Ejz5eVjGUKerEzSRFqvk06Afau/IqypR+wY/0an67t0YT9TPfG6jM9WMIZ1KviT8QEe00pdqwUEpS0NDaw6+V7mXP/TMaOHRvU9SJBQHklhLhLCNFk8HrOvT9LCPEOMB+4RtO0J4ADKIUshBBdcIkp31zNGCI1NTWk/wwZIxK9xILqrlJfFWsafV6ec3Q/q+NI1LG8jnOfu/2TdB+rkHyZxdnor6keJ8eS56tjAuwv/IIeqY1hLwIVKvZat47rwW+tQ7C+sjG0BgmbxdeAbxHAQBWHPcelBB8orKIGDVtp45DnqPMboNxQU8OWF/7MHU9Np2dPa3VVIom9zq0T6jM9WCLdvDPU6wcrivZ++jI5g/pzyy23BHVepAj4p4SmaQ8BDxntE0KkAkuBZcBQt5IH2IDLZysZBvysaVrbnjxRTmpqKk5n8MbMijWNHjGScWKCx5oj9wU61+hnOZ5nXFVABRgzkJvLSn8qVxFDV50dVyq663w5RkFaV7ZtPcC8+54iPj4+4Hjtgb3WrZOamkqN09qDX23jYIa+5o2MqfFy9bhdSfqqxHpBY5SpZWa98QpC9tPDyuxc/Xuj6sj7tmxmxOFDuP+CWy2PHUnsdW4d+UyPpPM8FHFjpfCeWTNNq9cNpZ5O3J4iXnz8r1GTJdhWW+lvgRJN067WbX8bmCOEGIvLV/sQ8GobrxX1VFZWBp3zX+Ss84iQupo5gKsujd79o6K3zKio4sjnPJ34kcer4kqPVVFTsaaRdHdPxarSTEo+ae23VfLJw2SMmAXg1Sn9zcrUDusyGwL2WleorKzEkeZyH8lsKn0sjhEyi8pjpdHVt1FFTjBio3X8VteUil4EqV3C9dWO9dYbtZu4VXeX2mpiUhwss9d5pySUZ7o/wuWaCqboYChCRT3XKseM7MYHu7dH1TO9rQLnKGCc2xerMhiYDLyEK9XwTeBhYpxNmzbRLzu4QnVqAG/upBlkjEhU4nAUF5SJqHGJIpTjphlsn+GxEmWcmEBdzRySUqcZjutr3fHN0tIjx5UiSG0mqiLdU/vyvuHZt36gpUV0eBphENhr3Y2maWzatImBgwZ4bTcSOvrMqk+LG1m9ORHwrVCsvvcX+OvTK8otNlQRYyZ0jMbRt1hQm2l6rqGIHHmtQCInJ6WK7e+/xRsvvM6cOXP8HhtF2OtcYdOmTaxPSOMY3faT+uxl6S7fZ30gy0ogq0qksNKnqi1usrrizXzx1kL69OlDdnZ2yOOEm7YGGU8FzFICtgPvtWX8zsamTZsY1L+f5eNlIT9pOQlilsZxAAAgAElEQVTGjQS+4sZsmypiVGuRFDnqPr0Vp3UerULHKFurYlmToQhLSp3mshK5x0nt6+Tlpxdzz5/u5w9/+AOJidYKv3U09lpvZc+ePXTp2oWMDOMaIGmJDo/IUdPEnY3VFO7OoLysVSwHDCI2aJapFxv+yE5K9M7acv+sFyhG4xk16IRWQaW2czCa07I599P9YBP/+9//GDVqlKX5djT2OvfmhSXf0XNE6+/upD57fd4bCZ1ARGu6uJWmnfr9dbs3seu5acx+4D5uuOGGqHFPgd1sM6xs+HE1v/3Nr4M+r/+kKs/7QK4gIwETCPWcpNRpJKVOo65mjqHI0SNFl96Coxc5RvPqmvJHht5USkPpj9RXuP66PvD9AW64bgrTp08P+j5sooPNmzczaLD/B7QqciSuflTemVISffdwPYEaWbZew/cPA31MjipywNgCpLfOeNxZBqKo2JnEjjLYuWItdVvWcMAde71l6Xds27aN7t07rsS/Tdtwluxk8GlneW2TgkYKnLYInWhAFSyBhNfAowdQX76L7KZNbF63C4CDm1Zx9x9v4+abb47oPEPBFjhhZOv2HQzq3z+oc/Rp2Kpo0FtEQhE3euQYZsJGb8XRW3BUXKLHtb3kk9btiV3P56ILkvjyy9cpeaGBcePGMXi4q4hf3JFxTJkypc33YdNxbNq0iUGDBwQ8Toqc1vTxPT7HqC4pFemeMmp6aWa9kbVq9FYbI9Rj9K6tD3c4LNXGce4/AJ8VUvj556xevZqjjjqKMWPGkJTpmvOtzz5ri5tOTnXxLtLy+np+9idizNxWnR1N06heu5T/q1/HkiVLiI+PZ/C4cZxyTH80TSPh2DOjtraTLXDCRHNzM9t37WJA3z5BnSeFjVFl4Y5CH3SsD3hWa/VkuDtR9Jo4nf1Li2lqXE6/PisZO/YOZs6cyZAhQ6LKZGnTdozib8yQIqe0toQPdzi86t3oU8CNrDT+hE1eiqumji+1hplUeleVmRAq6FlBsYGImpiXyKfFjWzaWcu+5Z/y9dMvc/7553P//fczZswYUlN9203YdF6cTidNNVWkZJrHlIzOSmWFn4ax0YKVrCv9sVpzM7W7f2LvJy/RP97JqbfdxkMPPcTAgQM7zTPdFjhhYseOHWRmZJAaRDXegqOmMXnDA+Q2JHlaFyx2W0X0MTjhsN4YYWbR0Ysbs5igsqXbGd/XyRdffMGgAT256KKLufPOO0lODr3nj010s3HjRk49c4Ll451NTk9wsVqtWKJaa/RtEoqdSRT0NC+1ohdFre9rvQKNjRp9rt6fgHwESiuOuk0dNzuhkscefp41n61m69atjBs3jv/973+MHj3a8udg07n46aef6Nm/N8JdjVeNv4kWzFpEtKWdRNmPKzjsq/dYsmQJffr04YYrL+PWW2+lS5cuYZp1+2ELnDCxYcMGhgwKLnBsZ9EijuZYyljDwhJXwQ9Ht20eN5Wawh1uZPxNoHgcs9RyraWZJucy4rf9xMSr7mP+/Pn07t07InO1iS42bNjA72+9ztKxMg5HigW1DQMYVw0OpqO3J45G30/qYDLZScH935Gp43pK1xXx2kP3Mb7geJ588kkKCgo6TXC8Tehs2LCBXoP6+hU27WW9MRInqogJR0fzlsZ6KHyZNd98wYMPPsgzzzxDTk5Om8ftSGyBEyY2btzIkIGhRcZ/2uCtqNMVK04kRY7EXzyOEan9nBT/71VOGX0Cz/x3Fbm55n2tbGKLlpYWfv75Z4Ycbr0x6tbqPYDDp/aNFXFjNVvKq56NJ6bGJULM3VWtjz8jcaNpGt+/+AJr//smz/39KS688EJLc7GJDTZu3EjOgOBCDsKNXri0VcgYWW9GH92dA9u38OV9f+SX/zeGJ9asITMzcDHXzoAtcMKEy4ITfE0XmSqux1fkTAu7m0o/nip0VHGjurG6HdvIrvf+yZ/vuJvbbrut0/hibcLDjh076NGjBw6H//RulfK6Rt8ierq2C/4ypGScjVHVYjBuzWCUHh4sW9/5J7uWfMzPa9fRq1evoM+36dxs2LCBXgW+f7Saxd3IAONg4l3MCIdFxmxc/dxq9+/l87tvYv6DD3DNNddE5LodhS1wwkTRqpWcccP1lo/fWbSIsuY1rtibBu99jm7bcFYOMBQ5ELl4HBWja2haM7W73uSGSydz++23R3wONtHHhg0bOOzw4IR8dlIixUrbKtVKEyj120pquGdcd20bVyq3r+iRgkeKHbUWjl4krVu8jK9f+hcrl6+wxc0hyqqiHzj/wpMN943O8g4oVwVPtIobI0YO7crHf7yJO35/Q8yJG7AFTtjYsXs3/YPIoJLipshZZ5g9pRc5KpESOjIOx2zc5qYfOGHwkcydOzes17XpPGzbto3+A62XQnA2Od3tGdwp2UHE16iYWW8kPnVrTIQLGNfKUc/Piq/k37Me4vOPP6N/kGUfbGKHnTtKyOrtLW71wiYSmMXZhJvRR3dn1Yt/5xcj85k5c2bErtORBOwmbhMYTdPYU76XnlnWaiDsLFpESZc6T2AxeHfh1tfGkUX2ZNdx2ZBTBgmHE3+iKaF7CVdeeWXUNMe0aX9KS0vp1at9O2IbxeGE4nIyyqQyYuXqEnJ653DccccFfQ2b2KC2tpbGugZSuoWvD1W0MPro7h7htKdoFVdffXXMhhrYFpwwUFVVRWJCguUU8bLmNSzcU4mzcgCFbPPaJ8WNxNuSI2l1W7mYEZGigHriE/fTp0/HBt3ZdCylpaUMGR58ML2Z9cWo7o2/Fglm40h3k74Fg9wmU8XVf9XzVCqKS8nKi55+OjbtT1lZGelZGV5f/GbWG308TjhicOQ4kaamtCSmn+m2BScMlJWV0dNik01pvVEp3jjaq4KxtNyoP8sXuCw6HmuOzqrjr5t4W0hKnUbawDy+/PLLiIxv0zkoKysjx6IFp6S2FHA12DRqTJmXUuvV8NKz3WCbXggZuZmsNMA0OlcvmgaMGsG679fS3NwccCyb2KSsrIz07NYikoFcU2oF484ibgB6jjgmpp/ptgUnDJSWllp2T0km53aD3AoWlpgfU5DWWulVxukYW3Qg3e0qrirNpGJZk8d1FS5LTl3NHKp3HkdcnK2JD2VKS0vJyfEvcKobnayp2OL5udjpyrjSd+P2vHdv91fQzwjVEmNWldhf3I4ZcfHxtLRo9lo/hCktLaWfBSue1To4+jo24bLytBURHxfT69wWOGHgjRdfYPRRRwU8bmfRIgCObj62NYNKh6PbNi9hI5HbCqvrfSw8Eune8uolFcb08tqdZYwcOTIsY9l0Pnbu3MmGjRs4fOjhpsfItgxtRbXG+Na3CSxuZE8qWQtHPQ/8W3HWrlxH36Gdpxy9Tfh57vVnyR81HPDvmlIbbxr1ofJXx0Z9rwqf9qRi80+MHHlnu16zPbEFThvZu3cvr/znvyx77x1Lx8u6N6q4yTtiBSBFTKu4yXd4m+WLnHWG4kdSiMuNld5rQGs15BGJVKyZ4TlG7TNlVOvGH1pcGcccc0zA42xik7lz53LZ5EvIyDB+CFc3OnE2uVsxJPl23baCvzgbdZ8qUNT3Vi02eoGkjrXhuzUUFBxpec42scX27dtZsugr/vvd66R3txZ3oyKtM8GIlfYWNgD1VQeo3r2DESNGtPu12wtb4LSR+fPnc85pp5LXy7yktax5A/hYbfSCRS9qzPYVOesMt0Or0AHc7qzWff0neXcsB7xcWhK94IlPGM05Z/e3a4IcouzZs4eXX36Zb1cuCXisIzENZ2M1jsQ0tlbvIS/FOwbHTIQU7skwFEPBCKRAncQDdRnf9dM2vnjtA77/5jvL17SJLebMmcM5l51Fevd0y+forTf+BEuw4scfesuPVUtQS3MTK56dzxWXXBxU0c7Ohi1w2sjnn3/Onddb68tj5JLyJ2gkajNOo/NyG9zvHa37PAIozeUuUGvttMbxwPZPXP+JzXpRAXTNOoxjhyazYMGCgHO1iU2WL1/OscceS69cYyGvWm+cjdWAbNHgQs1yglYhYhYY7LKqWI+fUa0wgTqJg7Gl6KsPlvDMn/7O3/+2gCOOOMLytW1ii88//5y7n7jDdH84+k+FS+QYubkCUV91gC/vv4OROT2YPXt2m+cQzdgCp4307NmTA1VVlo9XLS9m5DuSWkWLG/3PRqjH5HZxvdcLI6OiguDKkpKxO6rrKqX30Zw9digLFy7slN1kbcJDz5492b9/v6d5Zlpi6199qrgxQhUz6s8Sr4Bjd+xMIEFi5mICbzHTGsfTGugsM7LkvwU9K6jdWczTdy/gk08+YdSoUX4/C5vYpmfPnqzYsYeavN5+KxaHSqTdUYHGXz7/Yc4dM5oFCxbEfE0zW+C0kdzcXMr2lJvu31m0iFXx31NU62rJIAWGs3KAx43kL64mEDnxrf5To75WptadtBIKq+vJPx84H695FJ5fj7NyClVbiznwznKefPILW9wc4uTm5lJSYhw87E/cSKwW5tO3WTC37rQia9uYjqmkmHvEjdITq6WlhX/e8yL33HOPLW5syM3NpbJ8f0dPIyQCiZtdy78iYfcW/rronZgXNwBC07SOnkNAhBDRP0mbaGa7pmkDOnoSgbDXuU0YsNe6zaGApXXeKQROuBBCFGqaVtDR8wgHsXQvEHv305HE2mcZS/cTS/cSDcTS5xlL9wLRcT+xW+HHxsbGxsbG5pDFFjg2NjY2NjY2McehJnCe6egJhJFYuheIvfvpSGLts4yl+4mle4kGYunzjKV7gSi4n0MqBsfGxsbGxsbm0OBQs+DY2NjY2NjYHALYAsfGxsbGxsYm5rAFjo2NjY2NjU3M0ekFjhBishBimxDCKYT4UghxhHv7NCHELvf2xUKIoco5pwkhfhZC1Agh3hBCpLm3xwkhXhVC7BNC3N4B9zJVCFEihKgSQrwvhMj1N99ovpcA92P4O4v2++lIYmmdu+cQM2vdXufhJZbWeiyt8wD3E51rXdO0TvsChgBO4AwgGZgBrASOB0qAgUBX4C/A5+5zMoD9wLnu928Cj7n3nQbMBFKA9wFHO97LkcA+99wdwGvAywHmG5X3EuB+DH9n0X4/9jq317q9zu21fqiu88661ju7BecU4AtN0z7UNK0WmAuMBDT3S/baisf1IQOcDfygadrbmqZVAI8AF7v3CfexCe737ZlidjLwvqZpyzVNcwKvAPkB5hut9wLm92P4OxNC9CC676cjiaV1DrG11u11Hl5iaa3H0jqHzrjW21MBRkBR5gADlJ/H4FKSCcBTtP6nOAgc7j7mUWCOck5X9zEOXC6713Gp1Jvb+V4SgS7u95m41PETAeYblfcS4H78/c6i9n468hVL6zzA2uh0a91e5/ZaD2FtdLp1HuB+onatd+pu4pqmlcn3QojzcP0HmA6MA34NHAP8DMzGpTaPBdKB7coY9UKIJiBdc6nSi9rtBhQ0TWsEEEJch6tAUh0wCZiMyXyJ0ntxz8Xwfsx+Z5qmNQkhovZ+OpJYWufuucTMWrfXeXiJpbUeS+vcPZdOt9Y7u4sKIUSWEOIdYD5wjaZpT+Dy972sadpK94c4HShwm8wO4PITyvO74FKaFe0/e180TXsWl0/yTuBtXErYbL5RfS/gez9CiEST3xl0gvvpKGJtnUNsrXV7nYePWFvrsbTOoXOt9U4tcIQQqcBSXCauoZqmvevedVB3aBPQDNQCG3AFS0mGAT9rLt9hhyGEuFsIcRmAey5PAj2AXZjPNyrvBfzeT0+Mf2cQxffTkcTSOofYWuv2Og8vsbTWY2mdQydd65H220XyBfwOV3CTfvtYoBSXOTMZlznzfa3Vd7jffUwG8AFwb5Tcy1pgEJCEKxJ9tb/5Ruu9BLgfw99ZtN9PFHyWPp9ZZ1znAdZGp1vr9jqPyOfp87l1xrUeS+s8wP1E7Vrv8A+tjR/4E0ALLjWvvvoDVwGbgErgXSBHOe8sYCsuU+ELQNcouJcE4K/u/8SVwIfAYYHmG4334u9+/P3Oovl+OvizjJl17m9tBJpzNN6Pvc7D/nnGzFqPpXXu736iea3bzTZtbGxsbGxsYo5OHYNjY2NjY2NjY2OELXBsbGxsbGxsYg5b4NjY2NjY2NjEHLbAsbGxsbGxsYk5or6SsRBiInBcR8/DJurZAryuddKoeXfFz99j/9Fh458WYKGmaSUdPZFQEUL8Cjiqo+dhE/UUaZr2TlsGiPosKiHEoscf+vNp6WlpgQ9W2LdzZUjXO9CyI/hzEhpCutaOusaQzttcG9p5dQd7hnRebUVwnz2Ac0dTSNeq2dgc0nmN9Z7aUqmapumLgkU9QogJZ5x52ueXXH6h3+Nqm+osjVfXbPU4a/W2qhqtrfGqBmu/v/0NXQIeU1GbaG2sg10tHVdVbe3/TdUBa59dVbW142qrLHzGBw5YGkurOUDzruUkDvkl9SufE5ZOijKEEMuffnnBcfHx8WEfe1/d3rCPKdlSXR+xsdfvS4/Y2Fu21kRs7LKtZYEPCpHmjV8hEpNpLv6+q6ZpIX3JRr0FB+CMUyaQ1aNHUOfsLGoJ6VplzcH/AV3SxdqDTk+KM7TznCH+R3NWDgjpvKrSzKDPaa4PUYRtDk0YNbZ+JDVCiMGapm0JaaAOZPCQQZzz67P8HlPd6LQ0lrPJ4nGN1ZaOK6+zJoTKLYr24oPJgY9xJlkbqzLwWADley3+vymz9tk17LX2xdFQXmXhmqWWxqLGSXzGYBrWv0XikF9qTZs+jOuMVsszzzmDhITwf/3sqtkZ9jEl3S3+vkPh4K6siI29N82aeA5p7OatERs7Lj6H5l3fIrr1rxdC9NE0bXfQY0RiYjY2HcxmIUSne+jb2FhBJHWjy8jJaDXlxPUc0eJub2BjE1MIIUjoewKJA09BpPba1XXU1UE/022BYxOzCCE0IYS9xm1iDhGXQOIRZxGXMRiR1tsphDiso+dkYxMJ4roPoMtRv6Vx6+ckHna6JoSw7Jq1H/42sU6zECKjoydhYxMJEnJHkXj4rxCOXj93GfFb22ppE5OIrul0GXkFWm0FcT2PbBFCOKycZwscm0OBiR09ARubSBGXlkd87zE0bVvc0VOxsYkYIi6BhIET0JxlACdYOccWODYxj6Zpb3b0HGxsIoGmtdC45TNayovQnMXBZwPY2HQSWqpLaFi9kIRBE9E07RMr59gCxyam0TStU6bS2tgEQms8SOOaV0AIWvb/nKBp2v6OnpONTSRoLl1N40/voTlLj2hY86rlZ3qnSBO3sQmBHpqmVXT0JGxsIkFLdTGNG98hYcApNKx5xRbxNjGJ1tJE06aP0BoPolXvTtM0zVoNBze2BccmFom3xY1NrNJUspLGn95Hc5YOscWNTayi1VfRsPolRHIGLeVr44IVN9A5LDi1U6bfRZcugSufep1UFVqFxTqtMvhz4kIrKljVFFrV3oqm0K7X3Lg+pPMa64L77AEaq0JL6GioC+3eJJ3YJVX7v/cWsX2b/0raTS3WCiE2aRaPszheQ4u1tVrfbO33XtscuIptXZO1v7/qGq1VxK1vsLa26ussfiYN1o5rrLdwXL3Fop91TujiQKve7dA0LXKV5yJL7XW/vZG4uPD/fX2wKXJFzA9YrNIdCvtqg3/GWqXiQGhFV63QUBm5Jajt3+2u2P18yM/0ztCqIQ2YCrzWTpe8pB2v1d7Xi+V7O0fTtPntdK2IIISYDvyro+dhQnuvnWCJ5vmFc24twM7OWL1YIoTohqvvWqR+X5FaC5FcY/bYvpyladrjbRkg6gUOgBCiUNO0gli7Vntfz7636Caa7yGa5wbRPb9onltHEcnPJFJjd8Y5H+pj2zE4NjY2NjY2NjGHLXBsbGxsbGxsYo7OInCeidFrtff17HuLbqL5HqJ5bhDd84vmuXUUkfxMIjV2Z5zzIT12p4jBsbGxsbGxsbEJhs5iwbGxsbGxsbGxsUxUCxwhxGlCiJ+FEDVCiDfcKeORutZkIcQ2IYRTCPGlEOKISF1Ld918IUS9EKJXBK8xSAix2P05rhNCjI/UtdzXmyaE2OX+LBcLIYZG6DpfCSHGuN8LIcQ8IUSlEKJYCHFDJK4ZCdpznYeK+llHEx31/9YKQoipQogSIUSVEOJ9IURuR8+pownnWjf63QshBgshGoQQdcprQghjf6kb4/lwPGOEEH/SjVsnhGgUQlzh/h5Qt18Z5NiWnodCiIFCiKVCiFohxHIhxLAgx04RQrzoXtelQoj5QohE9777dfexKYhxTX93ocwZAE3TovIFZAD7gXPd798EHovQtYYATuAMIBmYAaxsh3uMB5YBGtArgtcpBGYBqcBkYHcEr3U8UAIMBLoCfwE+D/M1TgOecn9uY9zbrgF+BHoDI4C9wKhI/w7DcC/tts7D9VlHy6uj/t9anNuRwD73/wcHrlohL3f0vDr4MwnbWjf73QOnAq+EYa47ga66bWF/xgDHAmuAkcDXIY4R1PMQ+Ap4EEgHpgGrghz7fuBboA/QC/gGuNm971VgUohzNv3dBTNn9RXNFpyzgR80TXtbc5XdfwS4OELXOgX4QtO0DzVNqwXmAiOFED0idD3JbbgWSsQQQhwDZAEPaJpWo2naQuBCIYS18q/B04xr0coq2fG4Hmrh5CT3+Grp7suA2Zqm7dY0bQ2uL5SLwnzdSNCe6zwUjD7raKGj/t9a4WTgfU3TlmuuEvOvAPkdPKeOJpxr3fB3D4wC/FoNAiGESAKaNE2r1+0K6zNGCJEALASm4BIKoc7b8vNQCNEP12d0v6ZpVcCjwAA/VnajsScBczRN26VpWinwHPAL976BFu/DaFzDc0OYs4doFjhH4VLkkrVAjhDCEYFrvQ3cpPw8GjgIVEXgWgAIIQ4HrgJmRuoabkYDPwMLhRB7hRDfAw2apkWk7rimaYXAu8BPQB2uiqV3hfkaMzVNuxbXX8gS/XopAg4L53UjRHuu86Ax+ayjhXb/fxsEzwLXAQghMoHf4rLWHsqEc62b/e6zgTOEy0W+Q7iqgwfLAKCLEOIHIcR+IcR/hSuEINzPmBuA7ZqmLcH15X60EGKz2+0zV7p9AhHk83AksF6KN03TWoANZvdhMva1wMfKzwVAsfv9QOBp9+e2XAhxXBDjDsT4dxfUnFWiWeCkA57GUO6ba3JvDyuappVpmrYNQAhxHvAeMF3TLDb0CRIhRBwu1XuzFvl+Mlm41PVHQF/gBeBt918pYUcI8Qvg18AxQBrwIq6/XiON13oBqonAWokA7bbOY432/n8bDJqmNWqa1iCEuA6Xe+BcorcNR3sRtrVu9rsHGoHPcLkIzwRuEEL8NsjhM4B1uKwgA9xzflk/f9rwjHF/B9yOK3QAIBH4DjgBGANMAO4IZWw3ZnPVb1f3WULTtCJN06qFEKlCiMfh/9k77/AoqvWPf85usum9EBJSCL13QUFQEAuiAnpVUBG94rVX1Ov16sWuKHJt99p/Yr9iF0WRLiAivUoPSQghjYT0bDm/P2Y2TJbdzSbZTWM+z7NPsjNnzjkz+86Z77znPecwBXheFWRZwDyUrrH/AxYKISI9zRrnv12j69yaF9ssRulbBUAIYUKpr09WiRZCxKKIjiHAX6WU3/miHJXbgQNSyl98WIaW7VJKu8j4jxBiNtAD2OqDsiahxBpshtr1lUqEENFSSm93VWmpYy9AMD6yFS/TrHbe3mjm+7bBSCnfFkJ8hOLN+UYI0VFK6bvVD1s3XrV1D377YiHEa8BEGvCSJaX8DaUbxl7OLOAYSle7t9qYiUCelPIPtcw6ay4JIZ5FEUBPNzJ/V+2h43btPo8RQoxFeXndDgyWUmaru4Zpkr0hhLgDJQ7t5/rylFI+rK2/5rf7qLF1bs0enD9RlJydXsA+tb/VqwghQoDVKO6yns3QSJ4DTLVHiqvbMoQQl/igrAyUtwNAia5H+d29fh1VHJfztaDE5fiqPDuO9tIb3wg4b9Nsdt7eaIH71mOEEI8IIa4FUH/L/wLRnN6eOa/ZuqvfXgjxD1X42PEHGuQlF0JMEEKc55CHxUn9m9LG3IASZG0v8zYhhLbLpcH1dsBVXfcAvVQPkt2T1AMlINkjhBAXAF8CD0gpL7aLGyFEbyHETQ7JPT4PN79d4+vsSSRyS3yAGBTFfDaKy/AHYLaPyroZJWCtpc7VZ6Oo1GtXjNJvGoTSb70RdZJHH5R3NpCL0kUVBMxBCbb0RVkZnIzAvwVYg/IQGQ7kAd1a6jdtwDk0m51761q3lk9L37ce1G0HkA4Eoozy2drS9Wrha+I1W3f12wNLUMRkOMrooSw8GNXjkMe1KMGuPdV8PkDxAHmljQEEijAbpNn2DvCteo1SUcTIzAbm61F7iDKwZZbaPv8LWNHAvNcCM5yk6YwSNHyhmvdtwCHA5GG+Ln+7xtRZStl6BY56UpeoF6gMpT8vwEflvAbYUFS69pPaTOfp62HiZwB/oARfLgU6+/h8blAbiBKUgOMOPipHe3MYgddR+mazgGnN8dt56Tyaxc69da1by6el79t66uaHEouQq94Hi4CuLV2vlv54y9bd/fYo3SFlKIMrbm1k/k+qoiAfRdxEeauNUR/eFYBRsy0S+Fxtow8DswFDA/P1qD0EugO/o3jVV3lyvzjkXebkui9V9/1Fve6lwEqgTwPyTXH12zWmzlJKfakGHR0dHR0dnfZHa47B0dHR0dHR0dFpFLrA0dHR0dHR0Wl36AJHR0dHR0dHp92hCxwdHR0dHR2ddocucHR0dHR0dHTaHbrA0dHR0dHR0Wl36AJHR0dHR0dHp92hCxwdHR0dHR2ddocucHR0dHR0dHTaHbrA0dHR0dHR0Wl36AJHR0dHR0dHp92hCxwdHR0dHR2ddocucHR0dHR0dHTaHbrA0dHR0dHR0Wl36AJHR0dHR0dHp92hCxwdHR0dHR2ddkebEjhCiLuFEFc52aRf1McAACAASURBVJ4mhKhS/39PCNHFTR4XCSF2CyEqhBAbhRAjfFTX6UKIHzxIV1v3toIQQgohElq6Hu0VV3bukOYbIUSki33nCCH+9E3t3OPLsoUQs4UQb/gibzdlurw/W/I6txe0ti6E+FIIUSmEGCKE+NrL5awQQlztzTx9TVusc2ujzQgcIUQ4MB34op6kLwNz3OTxP+B5IAaYB3wlhAj0YlUBkFJ+IKW82EkdjN4uy5sIBa/aRWs/59ZEA+z8/4DHfF8j39Oa7KM11aW948TWpwADpZQbgQwhxKUtVrk2iC/a7kbWo9XcQy1+MRrATOAbKaUVQAgxUwhxTAhRCNxqTySl3AokCyH6OMnjTOCwlPJ9KWWllPIjwAb0Vt8OPxNCLFO9O+8JIe4QQmQLIQ4JIcY5q5QQYqIQYo/65rFVCHGuun2GEOIn9f8VQoinhBCHgCscstgBBAghytS0aUKIX4QQpUKI34UQAzT5LRFCLFDr96MQYqoQYr8QIkcIca0m3SIhxCdCiDK17BR1n1EI8awQ4qh6zF2a85BCiPuAYiBeCDFCCLFZPa+9Qogr1XQ71EOyhRAdhBAZWi+Y/bt6HrlCiKeAfHXfQCHEOrVevwghUt3/5KcljnY+TgixTb1mnwshotV0C4HJQogYF/n4CSFeE0IUCcVTOdC+QwjxgBDisBAiTwjxil3gO74xar+r9nGbEOKAaj9/06R7TAhRLIQ4AkzWbA8SQnwqhDghhCgUQrwlhPBX92UIIf4hhDgG/FMIka05LlQIUS3ce2K7CSFWq/dCphDiTnX7c0KIjzTpzhdCZKr/O7U/9d5/XwixGnjVRXmPqud4VAgxWQjRAVgK9NDcEzoNo9bWhRD71W071d/9HeBRZwcJhX+qbVi+EOJfmn1ObVuzv45HTtT1/jekjf1OCPGRen9tcmarql2OUf+fqzlH1Da1vxAiTijtdZnaXj6t7n8dGAN8LIS4UjSg7dZs7y6EsAohYjXbtgghrvDg3nxQ/ZsrhLhXc/xQoTyXTgghVgr1Oatek4VCiO+Ab53+2i2BlLJNfIC1wEj1/64oP+YoIBL4HqjSpH0e+IeTPKKAHprvKUAVkAjMBiqAEUAyUA78CIQDNwMbXNQrD7gA8APuAjaq22cAP6n/rwC2AclOjk+z1x1FcG4DbgFCgNuAg5r8bMBlQDRwGNiIYtAXAAUO6SYDASgerZ/VfbOAn1G8V32BbGCMuk8CHwKh6vc/UBogP2ASUKipswQS1P8zgBGafRnqNUxT6/EcEKiezxHgUiAUeAZY3tJ21do+DnbeCTgGnKXa+Xzg/zRp/wdMc5LHOepvdD8QDPwD+FO1r6nAbiAd6AAsBp7W2OnVmnxqv6v5faHeD5eh3DcBwLmqHfUBElS7+VM95nY1/zC1rL3AJRo7WaLasgnlfh6g7psEbHVyXrOBN9T/FwBPqMcOAcxABDAcKAAMarp/q/eAS/tT8y1Vr7Nwcn9K4BU1j78B+zXX+c+Wtpm2+tHausbGEjTfc4FEJ8ddA2xRbSoN5QVqpCe2jaa91fy+9vZ3Bg1rY6ei3F+fobkvNXnPBx5S/1+D8kyJVz95gABeAN5HaSO7AEVAPyf3n8dtt0MdtgLXqv+nqHYeRP335gqU52UflPvpTDVtHnAVJ59PB1DagRmAFeXeNbS0bdWef0tXwMMbwYDSgEWq3x8B3tHsH+ZgtNcAC+vJcwxwCHhR/T4b5W3Cvn8vcKn6f18gx0keAhik/k0E7gQyNDeBVuDc4qIeaZy8wYYDOx32ZwAD1Py2aLYvBu5S/w9VjdykptukSRejGp4J5eYfptk3G5inuUl6avYNQBE3cSiuY6nZ1xCBE6xuvwr4QZPOBFQCUS1tX63l48TOHwJed7CV45rvjwCvOcnnHK29Av4oDVtX4CfgRs2+kZwUJCtwL3D6qv8bAQuKAHsb+KfmmL9o8ktCaTyDUe6hbcAMjZ1cqDnuE9SXEjXPfzk5r9mcFDg91XyjUF50atTrI1Aa/7PUdPtQ7nWX9qfm+5mb+1MC0Zpzsmiusy5wvGDrGhvTCpxfgCucHPsTcL3m+ziUB3G9tk39AsfTNnaDJt0MYImTel4PfI1y/x1GEUKXobSnn6tp0lUbDAMGo4i6c7R1Vv/3uO12qMOjwKfq/3cCn2js2N29eakmj1eBp9Trt8oh/30o7f0MYF1L25Xjx4+2QQzKDVGifu8EZGr25zikL0IRHKcghAhGeaObAjwopXxXs/uY5n8bcELz3VV33vXAd2p9sl2kAeUNtT5SgZ6iblCjEeXNuL76aeuYpdlWpP6NVfP/VQhh3yeAL13U8UIUz1gusNODujvWAaBGSlmh/p8KXODk3DoAxxuQf3vG0c5TgZlCiL9q0vgJIQKllFUov+0QF3kdtf8jpTQLIfLV/FOB/Zp0+Wjc2g442nyBmp9VCGFBEcCdgF81abT3YkcUsRKM2hXrkJ/W3r4G7kbxrFykftxxBrBIzWMDii0jpZRCiG+BCeo5RwCrUbxZruzPsS6O1Egp7feRVT1Op2k42rozXLXjKcBB+xcp5VIAtcvRU9u242jjnraxBZptVeD0WboUeBblJXgTih2ehSJ4lqppuqN4GS0o3hZxajZAw9puLQuAtUKJi7kUeE3dXt+9qX2G5KPc547X177Pfo09ecY1K20lBsduPPZf9xiKkdtJqZsciWKcdVB/5EUoP25PB3FjP64hnAdcouY1EiXwsynkobwZBNo/KA35qgbWL1nzfyeURrlQzX+QJu8uwN8dDxZCdEPp1hgqpTwDpcvPFTZUO1Kvr6uYkDzgS03ZQShv3ns9PKfTAUc7zwNe0lyzCGC4Km7AhZ2rdLT/I4QwoTzIszjZWNnphvLGBprfUqW+hwO4vxdfBt6UUvaQUl6OeyG7CBgkhBiL8ka93VVC9SXlbWCClHIQijDS1vsb4GL1851U4pmaYn8NbRd06sfR1p3hyr4LOSlMEUJcJ5Q4QHe2bcfmUKajjXvtt5ZSZgNlKJ6PtSgvAmeh2N0yNdm7wD1Syr5SymtwfT971HY7qcOfKC8dFwEDUbxcUP+9qX2GpKK86Na5vkIJaE7n1GvcamgrAicfRSVHqd+/BC4XQpwplKGyjzikj6KuErczDqXhnyKlzPdCvfxQbpZAIURX4EGUN+yGXFeLekwksA4lwHeiECJACHENSjCptYH1GiCEuFAIEYLiWvxJSlkNfA78XShBnN1R3iL6uzmvYCFEJ+BfAEIIu8q3oniEQPFaDVX/vxrljcAZi4DRQglADkTpfvmPlNLVDX064szOrxZC9FJ/y7nAw5r0ruwcoKMQ4lb1N3sARTjnoLzRPSCESFYDZf8OfKAeU/tbCiFGobxd1scXwM1qHROA+zT7/IAgIUSIEOJ6lAbW5CwTKWUZsBx4ibpvps4wqp9gIUQcitcHTr6FrkBplG/Q5OUL+7MA4fbgTJ0G4WjrznBl318B9wghYoUQ/VBsphj3tq0tFyGEvd27sfGn4BHLgL+iCJztKN3EsVLKfep+PxQ7jhBCPIgiuOx2bOFkO+tp2+2MBSjX6Ef1OWAv1929eZsQIlwIMRyl2/lblJjU4UKIS9SXjPuAXCnlNo+vRjPTJgSOlNICrAf6qd+3o7icvwD2oARfaemLIhYc6Y9iYBVCCIvmM6aRVVuMYriZKA3pMyixAE6HqbvgKIr7MkN9M5+M0m96HOUcJ0spaxpYr3Uob7V5KILOPuJltlq/TGAl8L6UcqHjwVLK3cCbKDfkClQ3J2AfnfIdsFF9uMxCecBtR4lJcDqiREp5DLgWZXREEcobhT7HgwYXdv53FJGbh/LQvk1ziCs7ByU48myUhn8ySqA8wH9Rgns3oNw72znptn4cRQTsBO7l5FumuzovRLGVVWpdPtfsfgjFDnNQ4uQeAl4WQrh6qH2NEvv1uYv99jJLUexuCbBZPY/PUO1TSmkGfkB521yibvOF/e1AieP5A0Aoo22mNzHP0wJHW3eBK/t+jZO/+0LgAdVT4c627eVWosSifCWE2IwSG+NLlqIEEG9QxfRm6nbp3qnWez/Ky+ELKAHDoAiKuUKIKXjYdrtgAYo3qyH35m4U7+Y3wP1Syo1SylwUsfMcyj00BZjmYR1aBKEGCrV6hBCzgAgppdOhgw5p1wI3SylPu+GbQogZKIFpF7Z0XXQajqd2rnoJ9wBnSikL3KVtKwghzgTek1L28kJeDwMpUspb602s0yK4s3UhRA/gIynlsOav2emNECID5Rni6uWpzdAmPDgq7wAThRBuA6NVl2Xh6ShudNoFHtk5MAGl67G9iJswlC6lJsWxqfOFRKEM4W1qTJyOb3Fn6zNRPAU6Oo2mzQgcKWUxiiu8Prfy3SjuNh2dNkcD7Hwmyjww7YUNKN1TbzYxn0SUbt8/pJTrm1wrHZ/hytaFEBFAHyllfbFYOjpuaTNdVDo6Ojo6Ojo6ntJmPDg6Ojo6Ojo6Op7SJib6S40OkZnHK+pPqKPjnMNSyrSWrkR9pIaHyszS8pauhk7bpk3YekB8R1mTn9vS1dBpu3hk522ii0oIIatenFxn2/ZPLbX/59ZUcP2RzRQUFKCZ6VFHBwAhBFLKVm8YQghZfvu1btP8tdDC2LFjmTlzZjPVSqct0ZZsPfnfK2q/Gw/WnQS3Jv8QeT8+T6fr32jmmrV9rOmRLVp+QqLvJ/r+48qzPbLzNttF1W/qSefT8uO5DB48WBc3Ou2a0hozy5cvZ+DAgfUn1tFpw5QfWIcpLr2lq9EmMR4sPkUwNie5OQ2dl9Z3tFmBo/XgLD2ew4MPPtiCtdHR8Q5Bo1yvjrA65xh9+/Zl2DB9ahCdto+zN31jZgnGzBIqdv9KVNL5LVArHW+Qm2Ot/bQkbSIGxxGtuAHIqamkZ8+eLVQbHR3vEjQqnsrVeadsP1RSRo/+Z7RAjXR0vI/94Wf3NhgzT667aakowBTWEUOmu7U4wZoS4bsKtnGMB4tbvLsKTv7OzdF15UibETiOokZLqNGPoqIikpOTXabR0WlLOBM5EQEmioqKXByho9O2cPcANvgHY60px+AX6D6PRgogZ8fpYsm3tITQaTMCxxUWaaPSZuX4cXcLFfuG//73vyxZsoQ777yTc845BwAppR4LpNNo5MhBtf8HsRmgVugcyPSn2L/5+9YzMzO599576dGjB7Nnz8ZkUtbk021dpym4Eic2aw3SasZmLgdifFKGMwyHiynev4iq6iwiBk8iIEFZa7Yt27ndO9YaPDl2tN1WvhY7bSYGp9zq3IOzs7yYsNROnHXWWc1WF7PZzOOPP84z984idf0eJkyYQGVlJZs2bSI5OZmlS5c2W1102hfvPum4+PFJFuftY8aMGc1XGWDbtm2ce/Yweifb+OWXX5g3bx4Wi4Ubb7yRCRMmNGtddNoX0mqujbnRCpHK/F34BcdiCu/UbHWxWWso3PEZZVlrCPRP5NjXj2M4fJyaTevJfmsG5q1bTqlnW8IeeNySwcfO0MbqeBq305C4njYjcO7bv54Sy6mLaheZq0lOTq59q/Q1a9euZeDAgfz00uvMThvEgcoTjB8/nqCgIF555RUSExN5+OGHWb9+PYcOHWqWOum0H/7x9Wa+nvc5Ys3mU/aVxYfQpUuXZqlHWVkZ99xzD+PHnc0Dt17MOWf2YtOmTVx66aXs37+fr7/+mn379jF//nw2btxIdXV1s9RLp/2Qu/5VbJaqU7Zbq0/gHxKPsp6s76nI20nW0n9gqcgjbuCNVJccJiRhEEIYKN6/CL+gaIp2fU7V8QOYKwrriLK2KHhao9BxxJXwaWjQstcsSAjxqxBihOb7BUKIfUKIciHE5+piegghDEKIT4QQhUKI+z3N/5ybr+fOmkw6fvvfOtuXFx9lzJgx3jqNOmRlZfHTTz9xwQUXMGLECC666CL+8pe/ML0qiFe6DueJjC1kJscwceJEHnvsMZYvX87o0aPp3r07d9xxB8OGDePVV1/1Sd10Wg5f2vrPP//M3Z9v4j+F6Yir59Zu31VYTElJCT169PD6+VitVlauXMlzzz1Hv379mDBhAn379qXg5+/ZsfQ5/A5lc+G1L3DXXXexceNG/v73v1NVVcVzzz3HG2+8wbXXXsvo0aPJzdUnbmtP+LpNNwZGkLP6WazVpXW2l+dsICjG+3YOYC7Pp/zYVo78+jRHVj1Jzpo55G9+l9j+19HhjLs4um4elsoiAmN7Urjzc6qLDxGcMACDXzAFWz8ke8VjlGaurnseDoLHmehpjUKotXp1vEmTJ/oTQlwATAb+BpwppVynruZ7ALgRWAm8BRyRUt6jpj8DmAt8jrIse1k9ZUiz2Yy/vz8zErpye1Kv2n0L8jJYlRTC2rVrvdpPunDhQm688UYGDRpERN5ObhzemaKKGsZ2iyP7W0UXLjt+lIcObiDOP5DzoxMZF5lIn5BIDGo9jlRXcO/+37n7uae4++67AaU/9/jx4xgMBiIjT/aLSinJyMjgxIkTlJaWUlFRgcVioaSkBIPBwPr169myZQv33XcfF198sdfO83TAW5Of+drWhRBSSsmTTz7JY489xolbp2E0KLa2ZVsYk9d/yP9++r423ssbFBcXM23aNA4fPkxaWhpRW2B4jJFw/0D+cmYAQaPiqbFY6XL3uxwpKmPi4HQuP6Mblw7pQlSoEgAqpeSJL9fxwaZcdu3aRWCgsr26uprCwkI6duxY594sLi7m6NGjlJaWUlZWRnV1NVarlYMHDxIXF8eXX35JQEAAH3/8sdfO83TBG7beXG1654vf4NAPtxDT7xoiu5wcEn58z3dUFe2j45keayWPKNu6jPysLwgITsYYHk3IsIuwRFgJCeyBf67SO3AiYyX5W97DLziW0E4jCE0cirHfAIQQGDNLqCnN4ehvLxHdcxJhKaMAxf5tNWUIgx8G/6Da8qS0UR1Rhc1cicgqwBrjj7RZsVWXYThuprpwL9U1uUSecRUhtuRWF+TcmuJ2HMm65xyP7NwbQcaj1Hy0Bn0psElK+Q2AEOI54AfgHkAARvUYAXiksPz8/Bg6dCimIyeAkxP92T5JZcGWFSxatMhrMQFZWVlMnz6dufF96FcYAMbB9Ot28lJFTVVGdSUGKMY8OTaVmYnda/f3m+rH9k8tJAUEc1en3jz8wP28+OKLSCnJz88nKCgIPz8/3nrrLaZMmQLA//73P6ZOnUr//v0JDQ3FZrOxbt06AEwmEwEBAQwZMoQNGzboAqflaBZbP//883nsscewSMnBXUqQZYgf3N75TGbPns2yZcswGLzjfL3zzjsJ2HKY+d3H4l9pZENsJENjlDe6fbugG3kEjYonJSaMI0VlfPfApDrH2wOgH0zowoKS3XTu3Bl/f3/KysooKysjODiYsWPH8v777xMeHk5VVRV9+/alurqatLQ0QkNDWbFiRZ0833jjDW655RZd4LQczWLnwi8Qv5BT532K7DaBw788QFXRfoLK4wCQyZ49/EWWc09JdWUOBVlfkdTtDgKCk5DJEViTI7CmRyIBq6kYY2YJ/uVKmx7Z5UIiuoyvIzqsKRGYMiG612Tyt8yncPeXYABr5QkMRhPC4Ef8kJsJju8HwImM5RRs/QD/2DQM/kHIPdXU5B8EwOAfgjD64xcYhXnfbuiS3OpGdnni2WnNIgi8IHCklI8CCCHO02zuD2iDCHYAHYQQocBi4AbgEPCElNLjxXcSEhKIOFbFyuJclq2s5O4x3RgwzZ9X9w7ghhtuYNGiRQwePLipp8SaNWsYIAPoFxpVu80+TN0urCzSxktZO0lJSeGPonxukF0ZNO1kHJA9XV+ZyGUnorHYlHs+NsTEgS+V4Og7p17L/YkdSE5OZudvv/NCl6HcOT2Z7Z9aqLJZuMoUzNQ7b2Xu3LkkJCSQk5NDRETrUvmnE81l62azmd69e7N5ewjzDizmnvSRxAaE0MF/ODkbPuD222/n9ddf94rIWbVqFa+mnIO/QRnNMDSmmG69C+uk+XbDfo4cV551q/88wqieSXX271NF2LLLL6CkugarlAT7+xETGIDZZuPBXzeQlJRE7969yT24m+HpHfjkzisw+SllzkuWvLU+l2HDhvHRRx+xbNkyOnTo0ORz02kczWXnhuwT+BGCX6mB0ux12MyVhI5RBHRs32nkrn+VpC63Ywrs4FK4gCJ+3O0HqCo7QHBEHwKCFdsVWSU4jt+xWWsoyP4GP1MUFZmbCU8fB5x8iBsPFmNNiSAo+SKS+p+BXccZgiIw+Jmo2fQ7xzb8F2E04RcQgbkinw6THicoZYBSwP4jZC39B2GpZ1O8dyH+gYlYa0ox+Ae7rLdd9LQ2744drQhqjWLHV8PEw4HD9i9SymohhAUIV12XV9WXgRDiZuBm7bZZs2Zx0003sX//DjgAPePDOL9nB87rHs9rEyxceOGFfPHFF4wePdppnr/88guHDh1i8ODBDBkyxGWX1saNG+kd7PzHsgudvRUnyA4ykr1vH93Do9lQWsAgEp2mBf/abfbbsE9IJF/2HUtOdQVZR8t5ou9YQo3+tccEGvx4vssQ3nj7Qzr4B1JQUMA111zT7KNodOqlSbbuzM5HjBjBoEGDuOyzDyiz1pBVbuWvKZMJNhq5K20aL3/wMTdUVPDOO+/g7+9/Sp6FhYV8+umnxMbGMmnSpNouI0cKCgooysklRdMwOYobgH9/tp7HnpuHlJJHZz/Kj5POq7PffkzQqCTs7+Ny5KDaQOk3//EYzxaXsXtfDgGmixk6QJ2CX91/94WDyS5cxao1iwkLC2Pnzp2899577i6bTvPjkzY9quP55GcuwJKhzO8UEN4Jw+XnYUq/gpgPqjmy8zU6dr6JwJBUp3mWF2/HUlBKYHAqpqBEl216dXkWgSF150lzFDmVf25G2mpI6fNPDu94nOriDPxTlZdcx8kI/fA/RXQExfYk9fy5mMvzMFfkExTTE5kSf/I4Uygdht3O8b0LMQZGYqkoJCx1NCEdh9Z36Vq90IHWKXa8ttimECIDpe91nRDiBaBGSvmIus8EVAPBUsrKRuQt7fWsrKzkn//8J507d+aVV14hLsLCW+O60jUulJX78/jbT0eYP39+rciRUrJ27Vo++ugjvnr3feL8A9lZUUyAMHDZX67g+eefJy0tDQCLxcKsWbN459XX+WfaAM6LSjylLvbuJ5uUTN21kkde/zf33HMP+x4cTWSQ4sFxNylhY8moKuWJjK2cec1fePPNN72ef3vG2wsQ+srWtXYO8PXXX5Odnc2qVatYvnw555mGcl7scMzSwv9yfiZubGc+//zz2kY9Pz+fBQsW8Pi9j5Ic1IGNJbsB6NWrF7NmzeLGG2+szXvNmjXccsst2A7n8cnQqbXbnQmcT/Yc5I0Nhxl61UTkz5u5rfOZddJrl5ewz+Mjk9wP8RVHspW/mtFilavzMFtt/Kc4k7kLN7B511598s4G4k1b93Wb3nXIKwBYrZUU5SzC3xRFcd5K/CMSiLxtNn5R8Zg/+5b8LfPp2PmvBAYrtiClpLJsH6WF66ksPYDBGEBNZQ7CYCI0cgAxnS7Fz18RAtJmJj9zAaXHN9Gxy00Eh9ed8d7e9SWySpDSyuEdTxCTOJH8rC9Im/Aq5nFdATCtOExD0YoRZ91P1cWHydv8DsHx/Yjpc2WT8m+t+EroeBqD4yuB81fgUinlZeq+AcACKWV3d3m4yVs6q6fVauXVV1/lv888yraHxgPwwrI9PPrjLjpFBvHA48+xcOFCDm1eyzhTJ/yEYElRDsmBIUzv0JW1J/L4Kv8wXyxdzLBhw5g6dSq5y9bwr7SBxPo7f+u1CxyAlcW5vJS1k6vPSuLFj++i5tNlPhE3drKqyrl171pyaxrcnpzW+FjgeM3WXdk5wP79+5k4cSLnVQ1kUERPzDYLt+54mgCDP3+741aCg4N57YWX6RPWlb5hXVh3fDsnLGWMjTmD+IAYPjyykKtuuYZnn32WFStWMH36dK4MGcuNaR3w03R1aQXOvl0xdOtdyK4dkfxty1cU1cDMlMvpEBBd25XVGHEDzgUOKCInaFQ8f5n3PRMj4pmxeLWzw3Vc4EOB4/U23S5wtEhp5fjRxZRX7aXjdXOxpkdS+vocivf9iH9AHBHxoyk7vhmbpZKwmKHYrDWUl+wgICiRiA7nUla0ibLjm0lIvwFTYAeOHngbgzGI+JQrMfqHUViyB4CYCGWUllbgAJQW/kFhzo+EpY8h9Ja7AEXcuOoCcxcbZBcg7kZQVR0/SP7m90ge+1Q9V8w9p5vYaWmBEwPsAy5D6av9CPhDSjm7kXm7bPhXr17N2WefzaZZ4+gcE0KN2UpmcSW/Hixgx9ETDE2J4ooBSbz2djYvZ+/k++VL+fXXX5k3+wne6zGKfZUnWGLK5Kc/8xgX2ZEn0gbh7yK2wR5XoxUx2lXNfSluQHlzGb/1ZyL9TIy75iqeffZZ4uNdL86oo+BjgeM1W3dn5wCjRo2CXeVMS5qAVVqpslZztLqATSW7CTEGcVbUACTwwZHvueCGS5k0aRLXT5zGsIg+jIkewoLcJWyu2kNwcDAzIy/j6pQwj+u2ofBk42QPQj7ZNVVX5HgicOCkyKn9vubkzM0vbtzBa1v/pFNoMI+/+z4TJ05ss7PJNic+FDheb9OdCRxQup2OHnyPlN4PY+ycgrSasVQWUpm/E3N5HoHRXQmxdqWsaANFR3+iY5ebKC/ZSWnRRjr1vIfK0v2UFv5OxYk9hMeOIC7lKopO7KtThiuBY98WPS2d3Bwr7sSN9vjGYrPWkPHj7fgFxRAU14foXlMwmkKalKed9ix6WlTgqN8vAV4B4oAFwC1SykbNBuau4ZdSMnfuXJ566ilKSkoIDAxkxIgRTIo6zi0jlb7+3v9cQpDByPxVSxgyZAgAffv2JfvPvRx7fiIAmz6ucSlsMO7AOQAAIABJREFU7DiKmeYUN3aOVldQbrPwfUEWP1tLmDVrFrNmzcLPr82vuuEzfClw1O9esfX6BM7OnTu57777WLx4MQCdOnUiuSyayQnjOL+jjcV5+3h41088/uQTPPjgg/j7+7Nx40aGDh3KrPTp9AztjE1KJBKjMNQKFU+wCxxnQch2gkbFN0jgQF2RoxU4lRYL+4pLyS4t55G1m0gZegYvv/wyvXv39jjv0xFfCRz1u1fbdFcCR0obx4/+TNHRRWpafwJD0wntejbhqWdDZjEZ2x7FFJRAbPLlBAR1BODA5gcwBcSR3PtBJR+bBWFQ2kW758aOVuBYUyLqeFlqzlHifeoTN7X1baLIMZcfw2ap5sShZZTlbCCqx6VEpJ/XbBMd2mkLgshOxiuTmlfg+JL6Gn5QZl5dunQp48ePZ/ny5cocNtGCS/t25Mslx/A3GFhUkFX7Fnjfffdh3PoDT03oA7gXKPZuKa2g0dIc4kbbNWYns6qMpw9vo8/kCbz//vteGzrc3vC2wPEVntg5wNKlS+nTpw8FBQXMmzePVZ/9QpCfmfu6jOL2bQv5fcsf9O3bF4CjR4+S3imNub1nEWA4NSDZTn1iZ0Nh5CmeG3sXlh27J6exXhytwNFittp4e8de5mzcwZJ1v9O/f3+P8j4daUu27krg2LFaKqgqP0RQaBcqSveSl/EJASEpRMSeSUn+GkyBHYhNvqK2TT+W8TGmwA5EJZx3Sl5agRMT0aN25JVMjqgVNHaMB5Uh456IGzueipx643JOZJO/6R0Co7sS0++aFvVatmbBc9oJHEdWrlzJPffcQ87+3Uzun8ibaw+RnZ1NUpIyTHDnzp2cc845fDW1D2ekRnssYPpN9cM0dSw1ny47ZV9LUGWzcNe+37ngjpt59tlnW7QurZW21Og31M7LysqYN28ejz32GJd2GMN3x1by8MMP88wzz9SmmTx5MgUrDzO900QMLt4KHQWO1mNTH65EjiPORI8zgQOnihyAL/Zl8NDqjWw5eEgfRu6CtmTr9QkcR8pLdpOf+TnC4EdgcDKlRRvoPPB5jEZl7prKskPkHniXxG63EhCcRGHJnjqeGleCxTIyhWGTosgoMJC/uhC/NZmNOidPRI4ncTnWmnJy1jxPaKfhRHVrPXOetSbB46nAabev/GPGjOG3337jvEsvx2/QBI4cOVIrbgD69OnD/PnzuennoxwsrDttg2nq2Hrz9yRNcxBo8OOuTr35dN6r7N+/v6Wro9PMhIaG8uijj/LRRx8ROi6JTz75hKeffrpOmg8//JCulw3gq9xldbZvKjKwqch9E7ChMLJO/I0z7PPgwElhItZsrvOpev5nDJ9/j+Hz7xFHsk8RNo7Bxtq4HjtXdEujW2QYH14xEbPZ7LZOOu2PkIheJPd+kICgJAx+IXQe8GytuAEICu1MbPIUjh58j/zCTbXb7V4ay8gUZHJEk7uUnFFfntaUCI/EDYDRFEJM7ysoP/IH5ooCr9WxqbTFtbfarcABCAwM5OOPP+a1114jMfHUId8TJkzg5ptv5r6vt57ivXEmYOxpCqK9EwTWGPpN9Tulrp0CQkgODGFYrz588cUXLVQznZbkmmuu4eOPP2bq1KmnuLVDQ0N54YUXWHd8G1mVxwBqhc3gaNspeTkLKG4IlavzTvlot9vFjF3kOPP2uOKS9BT+b9d+LuqSSlmZ29UAdNohRmMQCekziEu+HKNf3Xa4sGQPNcYQ/IJTqCxYW7vdmhJBQqKRuFExWFMiTgkotqZH0iuihrTYU++FlsIUloTBFEr2itlUHNvW0tWpQ1taaPS0j0y99tprefrpp5FSetTf6S3PTX0Byq66y5wR6WdiXtfh7Kko4bZp15Gbm8vtt99ud1dTXFzMsWPHMJlMdO7cWR+NchoSGxvLpGsv5+Av2SQHue7ecSZutIHFdm+NNiZHu91VALIjYs3mWmHjbOV0V9w+oCd/69edu1b8zpguqfywdScJCQkA1NTUcOzYMYqKiujevTtBQUH15KbTXtDG2JjCelCWs9BlWm13lV38gHc8go4By/WlceXV8QuOIfGsWVQV7iN3/StE97mKsOSRtW26zVyOtfoEwmjCPzjWK3VvDG672lpBl9ZpL3CioqKoqakht7SajuGu576BuuKmsXPeOBMu2gBiT4WNs6DjHsERvN1jJA88+Ah/v/te0gJDsSHZW3GCpIBgKm1WBDD+ysu58MILmThxYp0FP3XaN8nJyfxWrUz+Nzjadkr3lKeeG3s6Z3E62u4qO46ix+7RCWKz0+1anAknP4OB188dwbN/bCc9uRMdg4PoGhnOsuyjxAUFEhkZRGZBKYM7xzP2qpuYNGkSAwYM0IV9K8PVyKamYvALwWYpRdqU9lF5CNe1S3uXUtyomFrPzbptElMjvBL2kVh2PBU5oAyTti8B4eyYwJhuJI56mNzfX6Fw28f4hyciLVXUlOXiHxyLzVyBMJgIiu1JcEJ/guP711nwsyXRnk9LiZ12G2TsKV9//TVP3XUjq+86B4NBaQDtQsYeSGzfZu+aii0q96rAaQqu6nDCUsOhqjIyq8oZHdmBCD8TUkqyqyvYUFrAryXH2FRaSP/QKN5cvZR+/fp5tV6tibYUeOnL+zEhIIZrki6md5gyfcKmIgODo211BIqjZwZOnfyvvpgcO9p8HD1AjqLHmTByVQctFpuNgyWl7C4qISrQxOikBIJGxVNWVcPyr3axLOso3+XkQJWVWx55lFmzZrXr0YZtydajut5+yvbGiBxHoVR9Yhc1pfsIS7qsdsRUzTmpJCQayV9diDGzRImJSY9kRH9Br4gaFh0IbHSAsWP8jbtYG3u5AAmJRnJzrEpah6UgnGGtLqWm9AjmigJCOw5RFvCUEnPZUSoLdlN+dDNVRfsIiu1FTN+rMYUmNPhcWgv1CSJPg4xPew9Onz59yCurxpOXO7uwqaFxo6ecdUs1VfA48+QAhPuZGBAazYDQ6NptQgiSA5V4nclxqZRbLfxUlM3owUN58+MPufLKhk8XrtN2OHPCaEo3ul8HsT5x01gch5S78/TYA4wrV+edcpx2v53uqw10jzrZIFauzsMInJeSyHkpibw08kLWfbOHB/79Ir/++isffvih7rlspTgO525IejtGUzTS6ny2d7u4sIsbgP/71R/jwUKPY0ocZ0O2Yx92bhdQrjAeLD5F5Ng9Oe4wBoQRFNATrX9GCIEpLBFTWCIRncdhrSmnNPNXjqx6ivjBMwlJGODRObU2vBXfc9oLnG7dulHtH0pWcSUpUc5XdbV7b2KLylt8WLg3CTH6cXlcGn1Dorj3uhls27aNp55q2pThOq2XUaNGcTDxIKirHzgLMNbizGviqffGGZ4IJO0w88CR0A8lRsdZ95XjMXYc01atyWdgXDQ/XHYef1+zkTPOOIOffvqJ9PT0hp+ETrPhTuw4EzZ2jAFxWM0lSKvzOQit6ZEkJBrpFVHFogOBmFYcbNCcN85wdrw7T47xYDG5nHovedK95Q6jKYTIrhcSEJXOsT9ep6bLBUR1m9Do/No6p73AKSgooKa0mLjQALfp7N6bpuJqmYeGHutNegRHML/X2Vz9/It07dqVadOmYTKZfFKWTsuxZ88eihdmQFxc7TZXsTbe8tw0hH27YuhG3kmRY583Z+Sp8TruCBoV71QQmYxGXhp9Bo+v28Kdd97J3Llz6dmzp5McdFob7gSNIzZLGcLgD+rElicDietS2y3lZXHjLL7GGc48NlpxY/cINYagmO50GjObrGWP4B8cS0jHIQjDqdegvdN+O6M9JC8vD4OAb7fnAM7jb+zfPREY9mHczoZztzZxo61DpF8AD6b045nb7ub555/3elk6Lc+Wz9eyueRPzDb3tqSNl9GKG0fvjX0eHW/MpeNtnM2jY+eugb2IPbSH0YMHUV7uvstOp+0hrZUgbZgrDtcOA0+LtdXGuwC13xvjLfGk68zdGkvaYdaOHzt20dQUz5JfUBSx/a6haPdXnMho+st5W+S0FzgpKSnEJKViMjbtUjgTNN6iseLGk/po04yN6sgz6UN49dVXsVjaT1ecjsK02TdhlTaM9axx48xj0xiB0lRh4zghoHZOHU9wJXKiAgP479gzObNjHB9//HGj66fTNLw1asoRg38EGPyJCO3s0nuTUWDAeLC40QLCXvfCkj2neJeMmSXKcg8eeGi0H18QljKS+MEzKd7/M21hQJG3Oe0Fzv3338/IaDNTBiQ5neNGuyyDMxorbJorlsdd3ZzVIS0wlJSUFH799VdfVkunmdm1axePznqEm1Mur12uwd1QcHeeGzuDo221H1cMjSmu/TjDWd7ayQCh/hgcd7jz5FzZLY0vv/yyUfnqeIeYiB51Pk1FSklF3kpMoV0JDlfyczaBn300VVNxrLddrDiNu3HiodHiOAGht2ZdDohSYs1qShq3BEVb5rQVOMuWLeOOO+7g5y8+5oVLTx0ibZo61iNx0xS2f2rxitCprx6uusxcHTdlyhS++uqrJtdLp+UpKSnhmWee4bzBY5icMJa4gCjA8xmKm+KBacwsyFph5WwJB3A+X05jGJ+SyG+//cbx48e9kp9O02mK0DGXZ1CRvxxrTRFJna+r7Z6yY/fkNGYxzYbiSuR4cpzX6yIEIYlDKT+60et5t3ZOS4GTmZnJlVdeScKh5Xw/8yzCA/1rvTfaZRgcxY27+BpXeKPbytOupoZ0SblL2/2TX/j666+x2VrP1OU6jeP+++/nf8/NZ2L8aEZHD3aaprnjY+orf9+uGKdLPWjxRldVqMmfMbERLFzoetZbnZahoULHWlNEed4yjP5RhCZejEiNre2e6hVRQ0aB8qhrDnHjjPq8Nw3Bvq6Vdn2r+ghNHEpZzoYmldsWOS0FztatW+kTKXhgbA96xIfV2RdbpAQdemPElCd4Yx4cx+9asePMS+TqGDtpgWGYCkt46aWXKCoqalL9dFoOi8XCTx9/z8QOoxke1a/OTL72+BhnE/tp0zQFxxgcd/k5Ezn14Q1PzqXpKbz6wH2sX7++yXnpeB9Pu68sVXn4BXYkMGoQ8bFnANQGF+8uMZGbY63tlmoOcWPvWtIGD/sq1sYTwRMQlY7NXE7JoeXYzM7nCGqPnHYC5/jx40yZdBm9OoS5TONtceNKxDRF3PgiqFmb3yOpA/jyyTnMnDnTq2XoNB933303ZZYKgo3OlyAB191I3vTqaIWOVlg5luG4TTuKy1dD1ad0TWFcckfOP3sUe/fu9UkZOt7Blcixmk9QkbcUoynq5DbVe5NRYGDdNtmsnhtncTOeluuNmBtnIkcIA/FDbqYs+zcKdnzS5DLaCj4VOEKIC4QQ+4QQ5UKIz4UQYUIIgxDiEyFEoRDifl+W70hOTg6zZs0iJsTEI+N7ASdjbUARNlpx4434GFdxNr4aceWsHE/L0tZzQGg0MxK6cmjxCh/VrP3Q2uzcarXy6aef8unbH3Fe7HASAk4VBw0N/G1OnAkd+9/GCh1X3VTZezvw6PABdIsMp7DQs4VCT2da2tYdRY7VfILKwnUIv1ACowYTE9EDy8gU4kYpdpKbY8W04nCLiZuGem18WcfguD5EdDkfa3WZz8pobfhM4AghooBPgQeAToAAngTGA7uBZOBcIUSor+qg5ZprrqFP1zQiDqxi+0PjiQ8LOGXxTDt2UeKNIGJnNCRfT7qYvIFjGRZp44PcA4z+63VeL6s90drs/Oeff6Zz5848e8t9zEyZwkXxo2r3aVcHd0VLi5uG0tRYnG69C/n58BEyMZKamurNqrU7WpOtS2mjLOcHSrM+x+gfQUTKNGKj+lF9XX+GTYqqnefGtOKwT4dhu6IpZdZ3nCfBy868ODZrDSUHfiYgMqVR9WqL+NKNcCmwSUr5DYAQ4jngB+AnwKiWLYBmGZy/dOlSVtwxmp4dwutsty/BAN5bH0qbV2PSu1pfqrF5eZJOi5SSJzK2YBSCF198sdH1OE1oVXa+a9cuBphDeWrI+U5XB2+tXhtnuIsP0lK5Os/tcHAtjrMcr8/N5+ala/lu6XISExMbXdfThFZk6wJzZRYRqdcRF6MEz1tGptSuL7Vum8QubpqT5i7PU6TNyrE/XscvKJaoHpe1dHWaDV92UfWHOvOr7wA6AGuBXsAhYLGU0udTia5cuRJT9QlSNSOktOtLNXZl8MZi98poP477m6MOriizWlhTkkeXoDDmdB/OsmXL2Llzpx5w7JxWY+c2m43X//kSQyOT6myvz2PTGsWNHWd1a0g3VX0enp8tx0lJiGDLI/excOFC1q9fz+HDhzGbzQ2u62lAq7D1mIgeBFKDf0AssdHKYpIyOYK4UTH0iqgBnC+D0N5xNiOyHWt1CZX5uzGFJVB+5A8q83dTU5qDtaZ9z+QtfDW7oRDibeCwlPIpzTYzkCqlzPHg+JuBm9WvQ26++WZ3yd3y559/Eh8giQo+ub6SNV5pOP0sVmRRKZVFkqBoD5YUd0NlkXItg6JF7f9NxVle7urprFxn6eurX5XNSrGlBouUWKUNi5SYkfTq1QuTyYTBYKgzKqc189ZbbyGl9EllW5OdFxcXc+TQYTqHRCOAcosy70eIn9Vpevv+1o6r+gcE1hXphlD/Ot9tZWan+7TbAY5VVFJltWKxSSx+/tRUVRIeGUXnzp2xWCz4+bWdJfvakq2fdfakRtelpvIofqYoDGoAvQw1ERLpR6DRRkm1AUuZBVFW0+j8WwUm9/endNgvapzfJ3ZslmqsNWUgrUibFaQNaTNjCu8EwgCINtOmr136pUd27kuB8wJQI6V8RP1uAqqBYCllg8apCSFkY+t58OBBhvTtSdbsCfiryzHYvTcA4a9/36h8oflmI9ZSX/dZQwKaG1r/mXvWMDQslq9rCjGbzZx77rlcdNFFXHLJJa3avS+E8GWj3yrs3GazMW3aNDpvOsbVnZS3Wrv3oy11S7nCnRdKuzCotquqMcPIg0bF88Omg7zw/R+EVsGSnHx69OjBRRddxMUXX8yoUaMwGFrv4NO2ZOtdJs1vVJdOdUUWR/e/TWq/x2sfyNXX9eeGs83sLjG1WPdUc6ANYnaMs2nMxIKZS/9BWKfhFO/7CQQExfUhuEN/QhIGYgw4Gc5R33w73pgVuiEc+OZ6j+zcl68mf6L02drpBexr6I3QFI4ePUr//v15+NzuteJGS2xROZ5q/JYQM85wF1/jqo7OjmnM+QQIA5/nHWJOl6GkB4axbmsmX//6JA/cfidnnTeW6dOnM2nSJIKDgxucdxumxe0c4LbbbuPXb5Yxc4hn/ettSdyA+3icfbtiakVOU+fGqVydhyG7jFV/HuHanukcveFythYUsXjZIm5/9y1KgsO49tprmT59+um4ErnXbV37wPZEkNRU5ZG952Viky6rFTcyWRkSPjimgt0lpnbdPaVdYdwuKjyd7M8ZBqOJkoNL6TjyQfyCoqg4tp2KY1sp3P4pgbHdCRl0PsGdh1GfkvCVAGrKuYFvPTgxwD7gMpS+2o+AP6SUsxuRV6PebKurq4mMjCT3X+cT6H/SnecYf1MfrUXcOKOpAckN4fcT+XQwBZEWWHeQRJXNwsriY/xQmMWO8mL+du/dzJkzp9W4O338Vtvidg7w4IMPsu+DDczu3b92my8n8Wsp6gs61npzGsuJmhp+OJTN1d07n2LD2wuOs6A8l09W/0ly9z68++679O3bt8lleou2ZOtdJs0/dXs9IsdqKSdj+2zSBz6PUNdUk8kRRE9L55EzSnl6fVizTujXknhjzpzy3C2YwpLwD4mrs91mrqTs6EZK89ZRU5BB+ICJRJxxZatp0zNemeSRnfvM1yqlLASuBz4AsoA84FlfleeMgIAA0tLS2H2sFGicUGnN4gaat37Dw+NOETcAgQY/LohO4pVuI/i8zzks+s87PPXUU05yaH+0BjsH6N27N9lVx5q7WLe4m2unsdQnzLwxIWC4ycTUHum1jbl2/p1+sVE8kdqLw6/N5IZ+4VxyySXk5XlnbazWTnPYen0LTBr9QjAYTFhqlPXDtCt5byr0d3VYu8Qbw99DEgaeIm4ADP5BhKeMImnoLBKvnkv5vjWUbvuxSWW1BD7tTJZSfi+l7CylDJVS3iClrPZleY7s27ePPXv2UG2xcsnba8gd3LC3u9YubhrK0A3f+byMWP9Anug8iKf/NZvs7Gw++OADXn31VXbv3o2vvIUtTUvbOcDChQsxYGDRsT3ct31hi19rbwsbLfWN/PL2rMfdehee4hnyMxr423n9GRzvxwcffMCqVauYM2cOP/74I+Xl7XdkSnPZuiuhU1WeidVSjs1aSfaeVwgxmpwcfXrh63l+AooDiO83g5LfF2A5kUfpzl84sW0R5uKcFm9n6sNnXVTepLGueykl//73v3n4wVlEB5vo2zGc72eO5MTtl7SL7qnWytqSPO7e/zsRRn+GhsUSavTn99J8jHHRnH/++YwfP57+/ftjNpuprq6murqanj17Eh/v2VwmDcWXbntv0pQuqr1793L11Vezd9tOJJIH0m8kOSih2buo6hM23izX08Bju+DxRveVlqBR8Qz6+4fszC5kYGocw7t2ZMeJKjZuOcDQESM5//zzOffccwkJCam188DAQAYPHuwzV39bsnVnXVQu06sPcCltHM9dTFHOTxj9QwkK7UrsdY8xbJKyTEN7DjDWYhd/tdfFC91V7ijN/o28DW9iMIUSHN8HGRZEVeZWhNGPwOQBBKUMwj+6E9JqAZsFaTXjH5OCMdD1kkhNwdMuqnYtcOzs2rWLy8acwYPjenDTSzd4HH+ji5vGUWm1kFVdTpegcIz2QEApyawu5/cT+fx+Ip/DVWWYDEb8hQE/IThcVcb9/3qU+++/3+tBym2p0W+KnVdXV/PEE0/w4Uvv8o+uN+Fv8GtWgeOp18ZbZXvLS9QU4bO7qJgOwUEknZcMgBw5iPKlv7NyVzaLtx/m193ZmK02AvyNmKLCySs4QUpSDHNf+4jBg52v7t4U2pKtN0TgQN34nKqKLHL3v0Ps4On4T53MDWebWXQgUI+/8RE2cyXmykJMYYkIYcCaEoGUEnNRFpWZW6jK3ILlRB4Y/RBGf4QwYC4+SsTQKYT3vxjh593uQ13gqJSXlzN9+nQMB37nw2uHETBtXO0+dwKnvYub5gxO9oTs6nJeP7KbP0OMPP3001x77bVeG47blhr9ptyPP/zwAzNmzOCu6CtJDFT61VtC4NQ3PN0X5XuzS6wxgkc7PF2OHFRnn1izuXabxWLl3c9W8sS8rzj/ost4+umn6dSpU9MqrC2rDdl6QwUOKCLHaqkg99D7+JtiiJ72AHGjYkiLtZFRYDhtBA40v8jR4snoppqiLI6vno+5KIuokdcT3PVMr3kudYGDMgfOZaMGMSgpklcuH0iQv7HOwppaWtPD3pc4mxOnNZ371rIi/htaRWpqKh999BFBQUFNzrMtNfqN7Yq9Pf0svjy6gzl9LsJi6d2sXUXuaK56+Crmx1Ox407gOONEaSXP/+d73lvwOwsWLGD06NGNrqOWtmTrjRE45r1/cvTAOwSH9yLmzOuxpcXU6Z5qzlXDW5rWKHCs6cr9bDxYXPt/zcqVFK18l4AOXYkZexvC2PTZaVp8FFVrYMaMGVw5sBNvXTW4jrhxpDU94H2Jqwn/7CuON9cK5+4YEBrNK7YOlC1fx4i4JAoKClq6Sq2eRYsWsShvDx8PuZqBEa1rwsX6BIwvhIk3xZt9BJXjxxHt/DtizeZT9gPIpE7IJMVbEx4WxNMPXckHL83giikT+eyzz7xW5/aKlJLc7A+J6DmB2JF/RRj8ah+iGQXKo6y5J5w7XXG6HER6pNP/TWPGEP/Qm1grT3DsuyexVVdgTY+sk8ZXtFuBs3HjRg4fPsx953RrNWP3WxJPxUtrEDomg5EnOw9mYGgMQzql8eeff7ZofVo78+bNY2bqGZw1qMpjj4MvRzk1ZxnacjxZV8tb4qehIscubBz/Hz+6H4s/+TsP3Hc7zz//PBbL6fGyBYoXQPupj8qCXQCEp51be7wW+wR/uvem9WEICCLmzucwJqdy9PtHsRQeBagVOr4SOy3/yu4jzGYzBoMBW+vvgfM5jREsnsboaPP2pifMIAR3dupFUkAQI/r2Z/DoUYwfP57w8HB69uzJuHHj6s/kNKGmpgZoeFfe0Jhin4+m0oocV7E5jrE7jSnH8Vh3eXkSI+QJzkZnOVvZXCtonG3rl9SJNd+Ect1d/+Hll1/mqquuIjU1lfDwcCZPnkxUVFST6tlW0AoWZx4CabNwcrFy5y+t1pQIjJweIscX1PcbOEvnKcLoR9Rf7qV0+f84NvdmTCm9COg6EBEYjCkxnYD0k5OUems26nbrwRkxYgRdu3blww2Ha7e5CipuaY+FjmumxKXxY//xnH/4BLtffpcVj7/I9AmX8NJLL7V01VoNjz32GG9l/I7FZmvwsb7wsjiKGkfPijNPS1PETUvjat4duxdHHMmuN4+kof1ZtvYNlnx8D9F+WRza/hPf/u91zjrrLIqKirxa37aAM69OcHx/hMFIec5G4OQD2N49VesNSHE/WaCOazzp4mvK8glCCMLHXk3H2QsIHjoeW3kJ5qOHKJz/BGXrfjhZhsaz4+zjcXntOcj47bff5qPn/8HiW8+u3eYsDscufNpjLE5TxZunXpzmvHYZVWX8bc9aCmoqPep+bEuBl42xc7PZTEJIBF9fNoaIwh5Ol2hoDQtventUlTPvkHZ7c8f/OFv00x5w7MyL4w5xJBuxZjNT5n7LpDse5frrr/fsuDZk62l3feNxevuD9/i+H6guOkDC8LsA5WEbN+pUgZmbY6W9zofja/HmzovjTtzYhUdCopHcHPcrmztSnbGTok+ep+M/PvAofdY95+hBxnPmzGFgUkS9sy3aRU978+Q05/kK41nfAAAgAElEQVRoA5V9XW5aYChBBiM7d+70aTlthfnz51Njg+qcpNptjh4TXyyb0FCcCQ6tN8fTOjqmc3W8q/+dle1rPPHiOOPCgZ1ZsmSJl2vT9rCmRGBJDqN434+YIlJdtulpsTbSYm0kJBrbnSenvmUsfEFD46QSEo31pnGW3pTSE1tZMZZi7y570q4Fzv/93/+xuiyC8/7zK7knqoCT3pqC6JDaj5b2InJa+jx8Xf4Z4bF6w69y5ZVXcut9dzDl9094eV9G7Xb7A7wxosHXaOvW2LK9IVB8fc6uRlR5ynl9U1iyZEmrnxK/ORDCQNyEWZQdWcfR3+ZirSkDFG9NWqyNi7pU0Suihl4RNQB6d1Uz0pggYbu4SUg0IgxGAroPpnrvJq/Wq10LnFGjRvHHH38w/vo7Gf3+TrbleOaubGlx0FS8Vf/GLk5q/3gbrXdoeHgcixcv9noZbZHw8HDmzJnDuq1/sCpgB18cXYKtlT4Q3YkSTwWLYzp3Akm7z5cizpPRa+JItseeHLswSu8QSXBwMDt27GhS/VojjYmtCEoZSOL1r2IKT+LIyicwHz8CnIzDGRxjdnpcWxc5zVX/psTXALVdU/V5cpztD+wxlKo9G5pUviPtWuAAGAwG/vWvfzFnzhwueXsNVeaG9Q3q1E9TRY0n3Vra/f2m+jE0LJZVq1Zhteq/p50+ffqwbt06CtNqWFW0kU1Fbef2bognpjV0t3mKJ5P+OeIogsaNG8eyZfWvm9ce8ETwCIORqAm3ED58Cse+fQLDftfiUp8Xp2F483olJBpdfpwR2G0wVfua5vF0pO20gE3kqquuYuBZ57BgSzY1ny4jtqhhK/62da9Oa6Y+ceTs2pdYaoiOjsZobFifb3snNjaWOXPmsPDY762iW0PbBeUNUdKUPLwZc2NfYdzZSuOOw8S1NDTYGKCgoIC4uLgGH9cecCd0wvpegCEonMqMjeTmWNldoqwsPjjGTFqsMqLQ09gRncbjrTlsrOUlGEO9GxN32ggcgIceeojZq4+RM2pAne0F0SEuZzm20x5HWLmjtZyvK2GZ17vYa9PbtzfGjBlDz6Fd2VC6skXK14oZZ8PEvVmOvYyGpHf13RFX3U7uuqOcLdlgn8HYE3Hj6L2RUrJq1SrOPvtsF0ecHrjy6kQMvZyiVe9iPVH3N+kVUaMEGjfDbLmnC00dsq3FHgxuJyHRSPWBrQR06e/mqP9v78zDq6jOP/45NxtZSIAkEPZdwAUEqVDBDVxbrYpWRKxKcf0pLlWs2rrWXaxWxLrbal1bFVSkdUFAUHABUYQgYYeQhCQkIft2fn/MnTC5ucvMvTN343ye5z7JvTNz5p2578x873ve8x7rHFQC58QTT+Smm25i6m//RsPrn5FTXsPLG5MjbVbM49nFFI7RVMu3lCqB4wMhBO+99x7FXTbzQeF2SzVnnOz68Zc3E0yUx3OkmBm8FSA0i7dojS+CHR4OB/Jv6paXsOaDTWRmZtK3b1/L7cQrxgdr+uDxpA8/nvLXH2ZbqYvVZdqs1XoUx+qonoOdQHNMBcLq+TaKnIbNP5AyeJSfta1jm8ARQnwhhBhveH+qEGKTEKJGCPG2EKKz+3OXEOJ1IUSZEOImu/Zvluuvv5796T1YvGkvADOGNfLyxmRTURxPomFag2jCeD70bqdQz5G3SFJrq2T5lrKI/aqNBV/Py8vjnnvu4bv9y1hd7uogLiIlcryJGE9b/CUM+4sImY0UmTk+Xcj46obyRyjiRkef9mF5YUnc+rm/HA0zD0pd6HQ+/3KairayY9X6tm4qoN1oKoj9RONI4YS40ZPC9b97djbQuHUdKYOOsG6gH0IWOG6nfwaYaPisK/AGMBvog1ZX+y/uxScDG4C+wIlCiIxQbbCCy+Xitttu47GClHaVjT0jOf4eytEubEJN+rW6nef+7O7eMrb34xvN3PxEPr2Gj2L48OG27icQsebrF154IaJ7E8WNuy1vG0gEeObWeKtebAVf0RjP9r3t184cn2BIndi97RUKxu6p1Ind2XdoGg//vJNLL700RAst2hElfm5W7IjEJDqfOJWqT19ri+IMyWzpkIsD/kVOJOrM+EO3x59NTucXORW5gQPipqiwhcqFL5DcfwQJmd6rgge7LzsiOBPR5rSqNnz2G2C1lHK+lHIf8BBwgXuZABLc2+gTi4SVadOmsXnzZr7eXt4u2dgziuNNyHgTNtEudiK1P2M0x452f3yjmaUVRby9dytvv/12JCZRjSlfT05OZvbs2ayu+qLDMifmofInOswO5fZX9M+u6Iyd+BI1ZqM3+tBxz9yb/XWNnPfEB1xzzTWceOKJIdtpkajz80DRnfTxv6Zh84/U7T4wNc+QzBZGZDUyfqRo96D2FAyeIiKaRE4g7Bz1FKxYCqUbsKiwhZqv/0ftms/pdtHtPtu3EtkzErLAkVLeIaW8DDDGcEcCxvFe64AebmX/MTAC2Ap8LKW0NpzJBpKSkpg9ezaP7dCcfsYwLZTpq6tKf1BHs5Dxh5WITqSTi/1Fx5ZU7OGB7Wv5aMUX9OkTfPg/WGLR12fOnElNZhmfFpf67NZxGiuiI5JTSdiBlWHhvmriVNU2cNqD7zDyxDO57bbb7DLNNLHg554PPFdKKhnHncOWN/7FhspkCqq0z8dkNx1IOO7XXsT4i47EksgJFV8jzZxK0C4qbGl71Xz9PyoXPk/ulQ+TkN7RhlBzqJx6YmcCbVJaStkghGgGMqWU1cDUQA0IIa4ArnDIPn7/+99z3333sfan4Yw6rA+gdVG9vDGZ2bkdr08zdVoiLQ50O8C8ULHLZl/79dW+5/n0XM/zfC7eV8jDO37kk1VfMWbMGDtMtouQfN1pP09LS+P666/nH/e9yUk9prRbZiYXJxLCIlZq3PjCymgpPaFYThiNWLGGytoGTn/oXUafdDZPPfUULlfUjAOx/Z5uTDDV0bstrKA/BFsnnsOe+6azcX0Rq7O6MSSzhSGZWp2sDZXJFBke2GYiH7rICed8VtEirMIx+qx61SKqPnqR3P97jKQe/dstsys5PKA3CSFuF0I0e3m96GezCiDV0EYympjaZ9YwKeVzUsqxUsqxZrexQmpqKrfddht/fvhD4EAUB8wNG/dGJCI8vvYZ7nmojP+HkqPkrYvr032FPLxjHZ9+vdJRcRMJX3fazwFmzZpFVWYJHxeVBBQsvhJ+7c51CbZqcaxh7ILyV8VYrFhDRU09pzzwH8aeei7z5s1zTNxE8z1dHz5sfJml15Au5P36PHa/9WK7KI7eVWUcNm6lOybU3Byz20dK3ATbzRVMl5FO9VcfusXNX9uJm1Da9EbAK0hK+YCUMtHLa6afzfKBww3vRwCbpJR1oRpsJ1deeSU/ba7hi1UF5JTXMGNYIwvezQl6VBWELwHZ136M3VGB8oecjDjZkeT84xvN7Gqo4aHtP7D421WMHm29KqwV4tXXO3fuzO23387Kqk/9jqjyJSSciKgE02a4IjtWRkzpo53Ae/eUZzTHn9C59uXFjDnpbJ588klH88tizc+tiJ68M6ZS+cO3rP9uC6vLktp1VZ0+uL5N5OjzVFkhVAHirzssWiI34Gz0pqiwhcZdm6hc+CK51z5BUo9+bcucGNLvVPxzPnCsEOJYd/b9A8DrDu0raFJSUrj33nu59f7326q+njWltG15sCLHaaIpF8iKLcFEd+bu2sAt997NqFH21kewkZjw9SuvvBJXXhOFDds6LPPsigpXxCSQYIlE5MaKuPGFUcSYnXtqVcEelmytYs6cOZFInjdDVPm5L7GTkJpGr3N+x67Xn203ZNw4qsr4IA2HyBE7K9tedrQXrQSKthUVtiClpGLB38k67VKScg+If6fqFTkicKSUZcAlwCvATqAEeNCJfYXKhRdeSHVjBu/++bUOURyd5GmTgqqRE2nCkRNkNsfGShv6tmv2l1GQmcSNN94YvIEOEyu+rov54iH5SCktd1VFgljPxRG7dyFWrGl7dViu599IyU2vLuW+++4jIyOslQRME81+7il0ck/+DXW7trN37dq2wn+giZzpg2raRI5nJMeM2LEjH8fM8O9IkrDF2nWnn39j/pQxkVh/AdT/9BUt+8tJ/+Wv27WhL7cb2wSOlHKAlHKl4f0HUsqBUsoMKeUMKWWDXfuyk4SEBB5++GFu/XAddXWN5JTXcNaU0nZdVTq+RI63UUrRkHAcaUIRecX767l/7/c8/vjjpKamBt4gjMSqr1944YXU1tby1u6fgI71ZjxxcpoFK4Srxo2v6E2w9W2Mosaz+8q47C/vrqS1Wz8uvvjioPbjFLHm5/qD1pWUTJ9pl/P9vLn8VO5q66aCA/k4usjRhU7jCf07dFsZIy++IjDBEM6k5WiiubyIff/+K12nzEIkhCcAEPkwQxRw+umnc9SkX3PX5c/wyL+u0xKOPbqq9Ho5niLHWCwQIiNszIzgioaIki887f/mtQZuKlvJpdfNZsqUKX62VFghISGB5557jt/85jf03TuYCbmpfFvWxef0BZ7dVr6WO135ONqpW15iWgR5RnJeX7GBl78pZOXKlQfdxLF6pWF/GLuZzDIgp5X+Z03i4yWL+Pnfb7P6yvMA2kZUjclucq+pt53Qtt22XtnsXe78LOS6yImGKI7Zbrq8XgleIy3bSl0Bu6da66rZ+9ytdJ50AZ0OOcrrOkWFLbZ3VUXvUy/MPPnkk4wc0p9zH32XcbOnAMkseDcHppQyY1hju0iOkZxpkzgCTeSES9z4SiCO5qiRmWH2AB+8XMGlG77gtxdfxF133RUO0w4qjj76aKZPn84Hf1/EhFz/4tFsbk44hE4047PYn3voty+m3/0en5Tt5/PPPycvL88p82KaQCLIlwASQjDx1pv49Kor+XricYw5rmvbMl3oHNiH9ndMdhOrs5JYhFvk6G3FccQlkLgJVnDo2xUVttC4I5+SudeTfsyZZBx3blDtBYvQk2ujGSGEDIedzz77LG/OuYP/XjWRqmvObJeHYxxGDgemdtA/zymv6RDNAWdFj69RVGbW87VusPv1hb4Ps9vc9sGPJI8/l4ceeigo27whhEBKGZWZm0bC5ec1NTUccsgh/LL515ye16tNmBi7aDat71gyPVLzVznF0EPL2o4zlORiXeB4G0XlTeDULS+hqKaOo+Z/xs6dO23Nu4klX7/zu09sbdOb2Ml//TXKf97IzMf/zJjspnbixth1ZWR1WRIbKpPZVuqiqLCFhC0V7SI6dgseYxRHFxxOR5A899f23mMElVGoeBJI/OjblL/5CIk5fcg86cKA9pgVVN+cf6wpP1cRHAN1dXV0TdWS0rSE4wNCxtes4wc+T2bGNWd2EDp2TldgJ8HYE45urv/lF/PPOec5vp+DmbS0NMrKyhgzoBPgvfvJ6wN/fXQkH9uBcTJNpxAr1rSJHuMM4akTu7P4xZVMnjw5apOKYxFjtEcXOy2NDSR7nOOeaa3sqXV1iOToaJ/XU1CVwOqyJBb1yqaosEtb8q2dkR3PLqqEHZVeKwv7EjyhCKJA4kYn1ATg+g1f033W9JDaCJaoKZMZDUyZMoWlm/dSWqPlzumjqgKx4N2cdknJVdecGZbh5WarBnurSROtOTkJLkFSUlLgFRVBI4TgggsuYP6eH1ldrt0Cvi3r4jVqY2TooWVRMbml0Z5gZvsOBTOTauqjpnxN21C3vITU4VnKzx1kRFYjI7Ia6XP8iZSsXEFjbV1bXZw9tS56pgUuIDgks4XzB9bzp6P3M+PYJnInZrdLRHaqLo4n/sSLvizUSTftqH3jUwgJF5hMKrZ7NJUSOAb69evH+RfP5LpVu6mtO9D15ClydEGjY6yd8/LGZK+FAqNRUFitYRMO0pITqK2tDcu+Dmb+/Oc/82P11+xp2N4mcszgKSg8J8m0G1/ixddnZoSOHWLIn8jxjNp4bpc6sTuJm2uVn4eB8Uf2ZsDYI1n0yFO0NDW1fa6LHM+XjvEzXeicPri+beLOYAWFmSHiRkFjJTJjxSYr65rtNvK1nkhOQTbWm96fnSiB48Fjjz1Gpy6HcezZj7N1hyZcfEVydKGz4N2cdiIHvE/c6YRIsDKRZrCEYrfVwn6pSYnqxh8GhgwZwnsL3+G/ZW/xY/UqvisTHaI4m9Zne43q6A93T6Hg5JByo3hxIlrj61g9qVte0vYyg68aOF2OzFZ+HibO+NMN1FXt55UrZ7M0v7It92ZPbcfHn6fQMa5z/sD6DlM+WKlnYyXik7Cj0pS46dDNZEK4mO2aAtrVsLGCcRuRlIJsjExFASVwPEhLS+Nf//oXF8+8iaN/NYeH531CY2NzO5Fz1pTSDoLGLNEWyTE7uilcpCa5qKuLmlkO4prTTjuNH39eS37NGhbs/UfbjOOeD/tAD35vw8dDFTpWIjehYuVYvWFW7Bhx5VcrPw8TKRnpTJ1zN4N/OZZnpl7JM/MWsrFcW+ZN5PjjwBDz9rNwBxIvTgwHDyaKZEXcBIunIBLJnZBNSuBEDUIIbrjhBlZ9s5Zla5oYfcrDLPlyEznlNczO3ceMYY3MGNbYTugYu6xuGaUlVPma0yqaRE60JT83NLcedPVAIsngwYMprN3BrXP+wCfNbzJv62es2JvWocif8cHvre6LXfk44cinMQo4b4LGbDRH727Sz4W/IeGeNLS0KD8PgjHZTT5f/hAuF8ddfhGXvvBXNiz+gmt+fSMfLd0EaCJHf3niLVcn1DmtzOKtuKDxvR7lMRvt8SQcM4YDyOZGcGji2EBEz5M2Chk8eDALFy7kvffe45JZl3H8+CHcd+sZ6NODzc6t0erjuCsf6zyy9rW2/1/emMyMYVq9HOhYGDAQdta38TZTd6B9h5ufiqo44ogjwr7fg5nExERmzZrFeeedx80338wf33qaY7JOZXDqCIRwAe4b4fqOERTjUGtvdXPMCp9wJQkbCSZaEwizIuensgqOOHK87fuPJQKJErvaM07XkDuoPxc/O4cfF33GvZfdx6enjGPajdPp2r1bu20883F08WMcebUIbRRikfv6SMDcyCozI5+M7XgTOf4iQi39sry2bRRioYobs3k5srWF5uIdJOUNDGl/waIETgCEEEyZMoVTTjmFBx54gDGnPMzUs47i9lmn0Ltnl7bh5LrI8dZ11SZyymvaojlHsNiUcHE6whJN0aQlr9RQV9tK7969I23KQUnPnj157bXXWDxzMbfccgvL13zGcV1PRpYNd08A2aVN5OjdMqkTuzNyoqGbZr32xzhDeSCRY7e4MYouJwh26gYj68r2cezIkTZYowiELnx0oSOEYOSvTuKQY8ez9LlXufqkqznyN6cy4ZLzYeiBIeWeIscXG3KSD1RAJrDIMY588iZEzIgkMyLHrw1bKoISOZ7CRu+O8iV4mvfuxtW5G65OaZb3ZQeqi8okGRkZPPDAA+T/vI2M7uMZdcrjXH/nf9hTXNmWn3OWRyTHiN5dpb+Sp02KmLiIJlFjpKCuiiGpmdE6m/JBw6RJk/jmm294472XKOqbzz+L5rGtbmO7RGRPAeGZeGwcSm7s7gpXHZ1QRVMw2/tKPpYTRre9dNaVVTBSCZyw4hnh6dQ5g1Nvupqr3nqOlqYmnj5vJo/c9Q+qyivbhpP7Qh9ZNSa7iemDajh9cL02jLyf+aRjO4v5OdVN5om/hGNvCclNe7aQ3GuQ02b5RFUyDpLi4mIeeeQRXn7pGT57axZHHt6H0m7pvLwx2Wckx8iMYY0RqX4M0StwnlxWwI5+xzN37lxb242l6q7R5uetra0sWLCA6eddTv9OfZnU7RzGdNN+zY7NrmDooWUdIhrGh7wuhLxN7Olkt1SoERx/tnmL4BiP2XO5UdiIFWtoaW0l87JnKSkpsb3QXyz5+vxtH0Vs/8ZuK53KohJWvPwmP32ylJn/nMtJR+YyJLPFa/TGm/gpqErgtS3prPxBdqh+bAUrBQR1MeVL4OhRGl8zhNsRxQHfwqfyo5cAyPrV70PehxGzlYxVBCdIevTowWOPPcaM31/FPX/9iL1l+01FcozokZxwJyFHW2Kxzk9dx3DooYdG2gyFAZfLxTnnnMOW3evYVLue7XU/s7rc5bd2jjH5Vk8aNlUpOUYIZtQUHMjP+eHDzeTm5qoqxhHEW2JyVl53fnXbdQw7/pcsffYVVmyt9xnJ8VY7B2D6oBrGjxTkTszWZij3UpU4EGaHnhvX8ZpzY0K8+BI+VvAmbhK2VJCwpYKmTfkk5fUPeR/BogROiNx5550MGD6Jw054gCee/5zssmpT1Y919Ek8vQkdJ4kWkaPb8Y/nivj4448566yzImyRwht5eXl88NF8Ptu3kNeKXqSqeZ+p6sfGaIZn9WOjEDJTITicBDouYz0cM4JHFzdSSmYtWckVV1xhi52K0PAmdE667nKSUjvx9Lm/58UXP/U5Z5WOLnL0BOQRWY1tRQE9qx9bwUqNHWgvcloGdWkTGYFETLAix1eNHL292i1f01i6lbROhwTVth0ogRMiWVlZPPHEE3yx4hseePJjtu7QfpmarZOTU17jpHlRjx6t+qlHCTfccAO9evWKsEUKX5x++ulU1hWT4spk9f4v2qI4ng94bzknnmxan+1VGESTyLEDzxnFSypryW9o4bbbbougVQpPjEInrWsWZ/zpBqbPe4j/znma/RX7LdfL0RmQcyDCE648GbAmWpwaLl6z+Su6/OK3JHTqHNT2doickAWOEOISIcQ2IUS1EGKpEGKY+/NThRCbhBA1Qoi3hRCd3Z+7hBCvCyHKhBA3hbr/aGH48OEceVhvft5SYkq06JN06hGcaMLp6sje2l37QzVDhw51ZH92oXwdkpOTeW3h41Q0a0LeTNKwP9HiS+SYieg4OVLKV/tma+T4YsOn2+jVlIQrQnVBzHAw+7mxrk7eIYPpN6QPe7buDridr1FW20qD+571GjhW8nHCmWhsFB/GKJFRWDVXFpPYpWdYbPJFSFeZEGIoMA+4GsgF/gu8KYToCrwBzAb6AAL4i3uzk4ENQF/gRCFE3HREH3LEZH7eot2wzXRT+RM5TubhWJ0+wYn9e7K7oZZBgyKXbR8I5esHOOSQQ6hsOpBD4/nA91YLxphzo4+m0rcLNqfFF3YKH13QWBE2vo6nbnkJWyr30yc1fL/kraL8/ABjspvoNbA3zUU7Ta2vz1ulCyTj7OZOE3BYeJDFAK3gGTVqriwmKSvP6zKzhBrFCfVnxCTgcynlIillHTAHGAX8BlgtpZwvpdwHPARc4N5GoJULSHT/H13DRkJg6NChbNq6N9Jm+CWQsIlEbs7a3RWUpyYyePDgsO/bAsrX3fTp04cGWU9T64Hy654PdeOM2nLC6LaEY0/8iRx/wsdYiTgYEWIXqRO70+mPp/ocSWYUe1JK3i3YzvE3zgirjRZRfm6g14De7Nhc2PY+IylwjS5jMUBP/AmRYKI2gdo0Q6iJxm0VnQ1dXfWF65EtTSSkd/OzpfOEKnDmA7MM748CaoGRgPFn3Dqgh1vZfwyMALYCH0spvfbnCCGuEEJ8K4T4NkQbw0Zubi7l9eaL1AWK8oQ7yhIJcbOvtpELXvmap59+OtpHlTji67Ho5y6Xi7zePahv1eZS8tVN5S8HxxtWIjnROArLU1x5JiI/sWY9JbX13HjjjRGy0BTqnm4gMzuLin37295XN+32K3J8dVXZnecSaDZyq9M42DGaCrTjbK7Zx95Fj5FzyvUI14EE7UhEcUJ6gkopi/X/hRDnAs8At6Ip/u2G9RqEEM1AppSyGphqou3ngOfcbcfEL4KMjAxqarRrW8vDSY6sQRaIhLhpbZXMfOM7zpw+kwsuuCDwBhHEKV+PRT8HSE9Pp6miidXlrra6OJ7oERyd1IndYf2Bm5Ve5XjT+uw2wWJV5IQ7YuNJ3fISWP4/9zvftizbXcST32/gm/yNpKSkhMe4IFD39PZ0SutESW296fWNycgbKg/c/9tyVHyIDTNRGycm7LRKXq8Ev4LDtamUokVzyDjsJNIGHNVhebAVlIsKW0xPD9HOnkArCCFuF0I0e3m96F6eI4RYAPwNmCmlfAqoAFINbSSjial9li2MIdLT06murm57b2W4OFifpyrWuWtuAbt2NPDoo49G2hRA+boVMjIyaJIH/NsoNKxGbvTtIy1WrOA5Yac/22uampnx8QpeOHkC/fr187leuFB+bp5OaZ2ore4ocMx0VUH76IPTOTDh2keHfRqGo1d+9y4iMZku4wLqXcsEE8kJGMGRUj4APOBtmRAiHVgOfAkMdyt5gHy0PludEcAmd59u3JKent4WwbEDu6Mq/rq8ItEd9s3+Uv788rMkJ0dHpEv5unnS09Npbu0o4HVx4yly5ITR1D/8PzyjHJ5zVRmjOb4+87aOP/R9eOtKC3UWdDOibH1ZBXnpqZy54NOQ9mUXys819FwZf3VuUtI6UecjgpOR1JvqpsAjrOzo/vEVvfE1n1UwmImueI6e8qRu51q6/OJ89yS9we/H3/6tRHJCfapNB/ZIKT3rMM8HHhVCHIvWV/sA8HqI+4p6ampqSE1N7fC5makbnCBap2TQhVth98xYqlysfN1ATU0NuSKpXfdU3fISOk3Q/pe9+7RbX+zeZbpto4AxRkk81/GHUTg5JW7Msr68gsNP/VVY9mUDB4WfGxOB/Qmdhtp6UlJ9dynqkRxd6BhnHjfiRGTFqrgJNRnZ2D3lKW50O5r27iCpW9+Q9hMIK5GcUJOMRwLHe4Y6gQzgEuAVYCdQAjwY4r6inoKCAgb3avC6bMG7OW0vHX2YuFNES7ViT/Y21vPg9h+oqqqK+to3BpSvu5FSUlBQwLG5XYH2QsHbEPFA2DkBp3FCT8+/RpwSN8buqlYpmft5KY9sLWLixImO7M8B4trPh2S2+Bzl5O3zPdsK6TcwcC0Xzy6r1WVJQdfAMWFaMOkAACAASURBVINVsWJmfX9RFc/cG891m2pLKf7uOVyJnUhI72rJNicJNcn4WuBaH4u3Ax+E0n6sUVBQwJABue0+mzGsEQLMMj47d99Bk3+zq6KO321eyoz/u47nbr01arqnAqF8/QBlZWXUVzWQ0T+1w8SZdctLSGUN8vw+Xrc1K2bsysfxtT9vk3/ayab12dy/cTE/7S/mxflvMGlS+KZhCYWD3c+HZLa0i+TUFBYy8qhD2o2OCjSSSqeosMX0pJuyb5bl4eFmMSuGPLuOjF1BviI3AC0/bWD3svvIGnQSuSN/hxTRM9drdPZhxCgF6z5m/LlHW9pmxrBGKHfIoCjgy1fr+L66nL1NdfT6RQJfbCnl/EtmRk1iscI6BQUFZCb6r28hdu9q103l2WXliWcuTrgIdZ+6UBrTbR8NPTazpqSMwt1pSCQf1+xg0+ZN5ObmBmjl4ESf0dtzLiin8Fefxhc7txZyxm+Pd8CajgQjcgJ1U1mN9HiKnA4Vi3dU0tJYTX3pRpobqgCoLf6BzIGT6DZiStBiyimUwLGRzdtLGdy/Y6QmUBQn3vh6eznvuI5k6dKlFGwuYNy4cQwaNIoyIeiW6+KWW26JtImKENi8eTNZBoHjmfBrzMUxSyhCw18SsZMsL0nji/KV1I5NZvby5eTm5jJu3DhSh2p5eI+OnabEjQl0oQPhEztm2bm1iL5euqi8RXGMScfaEHHrI+H1ZOJAQidhR6VfMWFWaOiTchrf6xijNvW71lG55nPqyzbSVFtKp25DSUrToqyJqV3JGnSSqf2FGyVwbKK1tZXN20oZPCB6REy4k4y3l9cy5/Of+XBbPbNmncrTTz/NUUcdFTPdUApzFBQUtBM4OqkTu/usYyN27/LZ7eRL3PiL6niKmWDFjdnIkTHp+au9Gfyw/2cWylX88rhfMv2cc3j22Wfp2TOy8+7EA+GO6vijoa6efeVV9Ohlrbs00OzjZgil5o3l/BwvkZSELRVIKWmuLGLf569SX/ozmYMmk9tvIilZ/dsV8At2v+GI4iiBYxO7du2iS1YqnTM6dVjmK5l4xrBGcsprYjr/5ueS/fxtWQFL9iZQVVXF1KlTWf/RX+jSJby/phXhY+PGjXRJ7CjkdXGTOrF7h9+uYsWadmIikLDwlyBsN/o+/NmzYV1X/lP4I1/3LWTV1lWMGjWKl+59icmTJztu38GIE0KnoCrBVDeVnodTuLWQvgPySEhIANoXs/SVg7On1mVIMNb2ZedQbiPeoji+RIY/IeGZV9O4dysVK96lbu96pGyhc59j6Dv5flyJHZ9toeK0yIneKW0t0NrayoUXXkh2djaPPfYYoCVCXnHFFfTo0YP09HTGjBnDv//9b8dsyM/PZ/jgHm3v9Qk0dXFj7J4y21UVrcO8QatC/OSyAk58cQ0Dz7iM9957j+LiYubOnavETZyTn5/PuOxujM2u6NA9lTqxe1sNHOPQ8B+ea2knbvwR7q4m4369vT7Y3cxvv36Xb/olcOONN1JYWMiKFSuUuAkDq8uS2nVhhZPmwh0MHNqnw/QLvsSNt5o4+sPbyZm+W/pltb28LjchIBJ2VOLaVk7VJ69Q9M6dJHfuRc9jbqb/qU+QffjUgOImlOOza5oIb0TvE9QCn3zyCSNGjOCFF17g/PPP57LLLmPy5Mn06NGDJUuWMHjwYFauXMnUqVORUnL++efbbsPGjRs5xC1wjOJGFzN6HRyrNXE8RU40DP3eU1XP7/71NbLncFaufJchQ4ZE2iRFmGhtbWXjxo08edQ4v+IGtMRiK/VvIHLixhefl37DguIlPDJ3DldddRUiikaIHExEoutqW8EuBgxtnxwfaPRUQVVCuykajDgVyfGFKWHjThxuqtlL8TfzcCWl0feEe0hMM9ctZ5dwcyqSExcRHCklLS0tNDc3I6XkH//4B4WFhbzzzjuMGDGC5ORkjjvuOObOncuyZcscsSE/P5/hQ3oEXtGN3j1llSOmJUY0slPT0MyUF7/i2KlXsHTpUiVuwsiSJUs49NBDueaaa0hPT2fcuHG8//77HHHEEeTm5oZlZNru3bvJzMykc2L74mfG2bRl7z7tRk2ZrY0TSXHjrXtqRfn3fFz6Fd9v/IGrr75aiZswsu3btTx93kw+euhJHpxwJi9cPIuNS7/kisn/x4VHTuO9Z//Dj1/9wLUnXcmzd8xj6ohzmH3WDXz9yUquO/VqLh5zAe89+58O7ZrNjxmS2cLWTbsYaBA4/sRNddNurwX+PLFLEPiK2Hib2TtgW4017PnqMdJ7/4Kex8w2JW78RYyCxYlITlwInFNOOYUNGzYwcOBATjnlFFasWMFpp53WYXbq8847j6eeesoRGzb+8Gk7gWOM3gAdivyFii50vImdUERQ8jTf9TpaWiWXvv4to04+m/vvv9/dN60IJxs2bGDEiBEUF2tzIl577bUsWLCAZcuW8ac//YnKSmd/Iebn51NTmtBOjOjiRk4Y7XU4uDHxWM+9icSQcF94syW/ehtvFn7KsrVfMnjw4AhYpSjduoOcgf246ZO3AVj08FNM/eu9XPLCY7z66CvU7q9hV8FO+gzpxz++1YoqP3fX37n9+Tu5/+1HeG3OK9RUBT91zraC3Qwa2seUcPGF17oxAbqUAuFvO8/95fVK8Du1gWxpoujruaT1GEnXob/2K+JDtdsMdoucuOiicrlcvPXWW23vP/zwQ446quNMpk6ydWc5g/pFZrJAuyM6ydMmeU18fuGrrVR0G8J/nn1W/ZqNEF26dOGaa65BCMGoUaOYMGECgwYNAiAzM5Pi4mKyspy7AW3dupXeyZqgMU6p4EvcGD/zNvLJKC48c3S8CY9Qojz6UHJf4kpf3tzawrxt/+HDT95n+PDhQe9PERqdOmfwi/PPQghB3iGDSDryMLr20UaqpaSn8cP2/aRnZvCri89ACMGAQwcxIq0Tef20dVIz0qgo3Ud6Znq7ds0mG+/aXkyfAeaj8oDlfCFvYsFXN1YowsLbLOAJWyqoWvwmroRksg+/wPZ9RgNxEcHxJDs7m9LSjnkue/fu5Z133rF9f1JKikqq6NlDcwZvXU9nTSmNyHxUVvAXvQH4YkspV1xxhRr2HUG6d+/eJi5dLheZmZntlre2tnrbzDaKiopIT+jc4fNA3VBGYWKcTsEb/iI8wUZ+jPNSBWJ3fQmprvSYqT4cr6R369Lm68IlSElPa7dctrbSqWsX1pRr9yOXEKRmeK5jvRYNQGNDE7U19WR17ejrZghm5msdY6TEatTEVyViX9SV5pM5cFKHyTGdjtT4w84oTlwKnOOPP57//ve/NDS0nxfqpZde4vnnn7d9f9XV1QgBGelaXoKeZAwwZG37uiDRLnJ0vImdgtLqtmiBIjJEOnJWVFREWkJG4BUdxKkuLl10lTSW0zc1upKdD07M+Lq2jt0jrcr27iM7twsul6vDKCpPPEdP6XNQOTk6yBuB8m6Mgke3rammmKT07u3Wi/WojZG4FDiXXHIJGRkZTJs2jYKCAmpqanjrrbd48MEHufvuu23fX1FREXndM70uKxjVvU3UzBjW2PbSiaYaOI1vLPZrz7j+3Vi+fHkYLVJEG0VFRaS5MtqGiBvzbzwRu3fhevsDrwX+7BApeht2iB1jRGlQWh92JZc5Hg1T2Etpg/nHWaBk49LiCnJ6+BcM1U2725KL99S62kZQhRK9CRZv4saMHZ26DaG+7GetjQhGbZwiLnJwPElLS2PZsmXcfvvtHHfccezbt4/Ro0fzzjvvMH78eNv3V1xcTF5ue4Gz4N0chqwtoWCU9gDQRU0wI6eihc4piTQ2NgZeURG3FBcX0yOhY16KMdfG9fYH/PCc75urE9GXQFM1mCnmp5PiSqZm337bbFOEjz119gx8KNtbQU5337Ni68LGKJQ8C/yFC3+Rm6LCFq9dVW1TNHTJpCUrKeqEjV3DxuNS4ICWq/DCCy+EZV+L/n0fow4LPLusLm4a31jsM5E3mjB2UzW+sZi1hZXMGjUqghYd3Jxwwgnk5+e3vX/mmWfaLfeWd2YnxcXFfPfVGh4aMQFo7FD3BtqLG+P0BuHAKF6sJiMbBdKu+mJ6d+qByxWXAe6YYMDYUVzz7ktt7399+w3tls9erOVSjj3vzA7rrC7T6uW8uuZNv/vwl2y8/LPvGH64/+74gqoEv11j+gPaya4qqyJAFztFhS20DOpC41tbyRh+ggOWRQdxK3DCRWVlJc++upxVC28GtPwbvXqx3j1lrHljFDWxIHJ06ptaWL2zgtGjO3ZFKA4OHn/8cYamHU7nxDSGHroHcHdPGaI32pBw711S4axz403smI0cFdTsoH9qniN2KcLD6rKkoIsC7i0q56N3lvHBqr+3fWasgeNZ80Yv7Dciq5EBOa1A+xFLdhWw8xRK/tr1lWA8IKe1LUdIbNhNU/kukrMH2GJfNKIETojMmzeP0088lEH9O07FoIsbI55RkWjDW3Jxw+ufMefznzn6+Mn06dNxKLAi/tm3bx/PP/88f+z7O8ZmV3iN3ojdu7ScnPUHbu7G6I1RYIQzumNG2OgiaElJJR/v/YYvV6tcs4OVfz49nzPOP4Hs3C4BE4xBEzYbKpPZUJncJh6cwA6htK3URVFhC67N+9i36k3SBv0CV0pa4A3DiJ0VjZXACZGFCxdy96yjgfbRG09xU9ot3WsUJ9rQu890ql75hGv+s4Yfm7oyf/68CFqmiCTLly9n9OjRnNoKI69IaBM33ioWDz20jE3rs32KF+MUD/q63pbBAQHk+bnncjtYULiVT8vf4aHHH2CU6op1HG9TGozIsi/Hz0wUx1s31bKPv+XBZ/7QJm78RW/GZDfx2pZ0R4WNVYzRG285OK31tZR99DDN1eV0P+NWS20HKz6sRJ/sRAmcEMnJyWF/zYHh6J7Vij2TiqNZ3OjoNiZPm8Q9W/dTkTeSL996i/T09ABbKuKVnJwc9u/fDz5cwPX2B+0qFvvCl4Axu76/5WbEjrGbzFhYcElJJV/KhSxavJDjjz8+YDsKZ/AUPXYKHrN0zc6kprquw+e+Eos9icQoKn/719/rxf4q3p2LSEii57n3IxID5xDZQbgEjSdK4IRIz5492VNcHmkzHGHVo+/y2vyfWLdunRI3Bzk9e/Zkz5494GXqMbF7lzux+IDA8KwY7E2o2N095RkN8oZnd9W3ZV2QUlI2eiM3HXuTEjdRhjG/JRiCieLk9OhKaYB7ui5sPLulPMWFMak30hQVtlC/aQ31P39L76l/o/WQ3Eib5DhCyuAqPYYTIUT0G6mIZrZLKQdE2ohAKD9X2IDydcXBgCk/jwmBYxdCiG+llGMjbYcdxNOxQPwdTySJt3MZT8cTT8cSDcTT+YynY4HoOJ7oyYxSKBQKhUKhsAklcBQKhUKhUMQdB5vAeS7SBthIPB0LxN/xRJJ4O5fxdDzxdCzRQDydz3g6FoiC4zmocnAUCoVCoVAcHBxsERyFQqFQKBQHAUrgKBQKhUKhiDuUwFEoFAqFQhF3xLzAEUJcIoTYJoSoFkIsFUIMc38+Wwixy/35EiHEcMM2pwohNgkhaoQQbwshOrs/dwkhXhdClAkhborAsVwrhNgjhKgSQnwohOjpz95oPpYAx+P1O4v244kk8eTnbhvixteVn9tLPPl6PPl5gOOJTl+XUsbsCxgKVAOnA6nAbcAaYBywBxgIpAAPA4vd23QFyoGz3f//G3jCvexU4A4gDfgQyAjjsRwOlLltzwDeAF4NYG9UHkuA4/H6nUX78Sg/V76u/Fz5+sHq57Hq67EewZkEfC6lXCSlrAPmAKMA6X7pc20loJ1kgN8Aq6WU86WU+4CHgAvcy4R73UT3/+EcYnYc8KGUcpWUshp4DTgsgL3Reizg+3i8fmdCiG5E9/FEknjyc4gvX1d+bi/x5Ovx5OcQi74eTgXogKLsAQwwvB+PpiQTgWc4cFHUAoe413kMeNSwTYp7nQy0Lru30FTq9WE+liQg2f1/Npo6fiqAvVF5LAGOx993FrXHE8lXPPl5AN+IOV9Xfq58PQjfiDk/D3A8UevrMT2buJSyWP9fCHEu2gVwK3A8cA4wBtgEPIKmNn8BZALbDW00CCGagUypqdKpYTsAA1LKJgAhxOVoBZLqgZOBS/BhL1F6LG5bvB6Pr+9MStkshIja44kk8eTnblvixteVn9tLPPl6PPm525aY8/VY76JCCJEjhFgA/A2YKaV8Cq2/71Up5Rr3SbwVGOsOmVWg9RPq2yejKc194be+I1LK59H6JP8IzEdTwr7sjepjgY7HI4RI8vGdQQwcT6SINz+H+PJ15ef2EW++Hk9+DrHl6zEtcIQQ6cBytBDXcCnl++5FtR6rNgMtQB2Qj5YspTMC2CS1vsOIIYT4kxDiIgC3LX8HugG78G1vVB4L+D2e7nj/ziCKjyeSxJOfQ3z5uvJze4knX48nP4cY9XWn++2cfAFXoCU3eX5+LFCEFs5MRQtnfigP9B2Wu9fpCiwE7o6SY1kHDAI6oWWir/Vnb7QeS4Dj8fqdRfvxRMG57HDOYtHPA/hGzPm68nNHzmeH8xaLvh5Pfh7geKLW1yN+0kI84U8BrWhq3vjqD8wACoBK4H2gh2G7M4GtaKHCl4GUKDiWROBx90VcCSwChgSyNxqPxd/x+PvOovl4Inwu48bP/flGIJuj8XiUn9t+PuPG1+PJz/0dTzT7uppsU6FQKBQKRdwR0zk4CoVCoVAoFN5QAkehUCgUCkXcoQSOQqFQKBSKuEMJHIVCoVAoFHFHzFYyFkJ0Ac5DiTSFRj3wppSyMdKGBIMQIhWYjvJnhX9agXekNq9PTCKEmAgcGmk7FFFPvpRyWSgNxOQoKiHEsOysAfkZYyeT0Cnd9vaPHF1te5sAx+Q1295mRo0zz/Pmb/IdaXf3162OtPvDjko2U0k+Fd2llHsd2YmDCCFOdLlSFye6QvPnXkmHB14pAP1TOofcRr/00O8r/TM8a7sFR4+eNSG3kTQk9HMiB/cNuY1KVzJvvbmYF1/6I6OPnClCbjACCCFWPfnUrUcnJJjT8g0tFabbrmy0dkpK6s3/nthRk2B63aI68+sClFabt6Oqwto91FVq/jpylVusv2dh/Zq64sArGajfvxGR3I2Wqp8SpZQt1gzTiLkIzknHzJZds/pxzOjLKJsw1pF9jJtS6ki7Fw+zX4zklId+8/ZGY0KDI+3+uNV+kQcwdGcN62QZtTSX3CvGcadcFXM3f5dIJjExM6Q2uqccFrIdh2V0D7mNMd1CF7Jjs80/2Pwx9NCykNtInRj6OZETRofeRu8+nHnmMVxy8QNcd90W+bvf3R9zfg4w8/KzSUw09/ipbtptut09tdYCoAVV5oXI6rIk0+tuqEy2ZIer1LzdrYXWnvUJW8xfRwk7Ki21LRLMr99cudFS2y0p3WmuWoerU89mIUS2lLI88FbtiZlwuBBC/OKI6fKnTR9x8i9voWtWv0ibpIgyDhfZXMXhvMQGrhUjYy80qVCYYNiwfnz62eO8//4KZs2aIt3z+ygUcYUQLpKyRpKQMQSR1LUsJe80y/f0mBA4QoiUwX2Pba2q3sPkX95Mp5TQfuUq4pc8kcZsjmQZhZwjBkkhREz+wlUo/JGRkcobb95Fv/55HHf8qAYhRM9I26RQOEFCam+Sso+had83JGePtyRyol7gCCHyemQPq8/uMpBxIy8lwRVzvWqKMJMmkriekdTRzFi6t7on8FMo4gohBH/4w/nccccljBo1uHDpsrkqaqmIS1xJnUnOnURL/R4SOw81HbWMeoEDzEpPy2HYwMmoH+MKs7iE4FwGU0EDwLmRtkehcIoTTxzNzTdfwLXXPB5pUxQKxxCuRJK6Hk1rfQnAyWa2iQWBc09iQjJfrnmBlpamSNuiiBGqZRNPsJbR5AC8Gml7FAonkFLyxBP/5rnnP2Dduq19Im2PQuEUrU37ady7mITOw5FSLjSzTdQLHCll48ati0V214F88tUj1NXbM7JCEb/sljXMYQ0n0Ze3ZYGQsVgLQaEIQHV1HRdNv48tmwv5YtkPKVJK88ONFIoYoqVuN01lK0jqOpamcvMjZKNe4OisWvtPMWrYOXz61RzKKrZF2hxFlPK9LOV5fqIwsf6wv8m1qk9TEZds2rSLk076A6eddjTz5r0nYrXApULhDyklTZU/0lJdgGyqyGko+p+le3rMCByAj1c8KPZV7Riycu3LbN29MtLmKKIIKSUfye18xk52UJ3T1NS0PtI2KRRO8P6C5Uy74B6eeeYmLr30QSXiFXGJbGmgqfQLQNJavydRSmm5oFWsVjLO7JM3urKuazqJqaFXGPWk/4B629sEGNYlqGKMfklpcKZwXmtBoSPtlm92ppLxptJq8kjjM3YlSyljLllLCDFRiOQvXK6UkNrplhB6tdzcpNSQ28hJCf2+kpNiT1Aiq2vo13NCXujnhB7ZITdR0SSpqaln0aJVQRU+iwaEEMtn/P6sCcJl7vd1c6v5Yqa1zdb0XmWT+fXLLFQ93tdoLXZQXW/ejtpaa9eWqDJftFVUW7vmRI35W219o7X0kqa6QhKzjqBx77KgRXxMChwAIUQCcDcw34HmzwHeU+3GVLv1wAQp5XM2txsW3PV67sUZfw4Gp757qyg72tMKHC2lfDbShgSLu2bPNTh3PmPpvqXa9s2JUso5oTQQswIHQAjxrZTS9vkaVLuq3UgQTfZHiy3Kjo5Eky3B4uQxxOL9RbXtTNsxlYOjUCgUCoVCYQYlcBQKhUKhUMQdsS5wnMq3UO2qdiNBNNkfLbYoOzoSTbYEi5PHEIv3F9W2A23HdA6OQqFQKBQKhTdiPYKjUCgUCoVC0YGYFDhCiFOFEJuEEDVCiLeFELYUwxFCLBVC1BteL9nQ5hdCiPHu/4UQ4q9CiEohRKEQ4iob2hwshGj0sPvEINq8RAixTQhR7T4Pw0K110ebIdsrhLhWCLFHCFElhPhQCNHTrnMbCZzyZz/7s/RdCyEGCiGWCyHqhBCrhBAjbLbnMCFEgxAiz/3+FiFEqft1j2G9bkKIj9zn6SchxEQbbRgkhFjibnu9EOKESNgihJgthNjl/m6WCCGGR/K7sRsnfF04c4+1/X5oaNvx+5fZa8pim0uFx/PRxnNi6fozjZQypl5AV6AcONv9/7+BJ2xqeyeQYlNbpwLPABIY7/5sJvAD0Bs4AigFRofY5inAayHaOhSoBk4HUoHbgDWh2OunzZDsBQ4HyoBxQAbwBtpkmiGd23j0Z7u+a+AL4H4gE5gNfG+jPQnAl26fzgMmA7uAEUB/oAA4273uq8A/gC7ANKAISLbJjm+BO4F04BJgd7htcfv0HmAgkAI8DCyO1HcT7b6OA/fYYK8RC207fv+yck1ZbLfD89Euu61ef6bbjbTTB3EiLgE+Nbw/Ciiyod1OwFYb7fwL8AKw33DxfQ5cZFhnLvBQiG1eCdwToq1XAh8Y3iehFRQL2l4/bf4xFHuB/wP+aXh/BrA61HMbqZdT/mzXdw30Q7vZp7g/dwEVwHCb7JkN/NVwM34Z+LNh+U3Am2gP/Dqgj2HZj8BpNtgwBtiGOyfR/dmEcNsCjAUK0R6wKcAc4D+R+m6i3dd93A9Dvg84cT80bOP4/cvsNWWxTa/PR5vOiaXrz0rbsdhFNRJNTeusA3oIITJCbHcAkCyEWC2EKBdCvKeH94JBSnmHlPIyNLWu42n7T8CQENscCJzuDmvvEELcGoS584FZhvdHAbUh2uurzdwQ7X0euBxACJENTEf7tRLSuY0gTvmzL6x+16OADVLKBgApZSuQjw3nVghxCDADuMPwsS87DgGqpZS7vCwLlaOATcA/3aHwb4DGcNsipfwWeB/4Ga0y9/8Bt/uxw7HvxiFs9XUn7rFunLgf6jh6/7J4TVlhAN6fj3a0bfX6M00sCpxMoFJ/4764m92fh0JXYD1wEdqXWYkWOrSTdraj/fII1W4JfIYW+vw1cJUQYrqlBqQsllJuAxBCnAt8ANwair1+2mwKxV4pZZOUslEIcTlaOPRstF/VTpzbcOCUP3sliO/a83PjsqARQriAF4HrpZTGyYbCaoebHLRw+P+Avmi/HOeH2xYhxGS00vdjgM5oXWCvhdsOBwmHr4d8H3Difmho27H7VxDXlBV8PR/taNvq9WeaRIuGRAMVaP2iAAghktGOY18ojUopvwJONrR7M1AshEiVUtaF0raBdrYDaYRu923G9oUQT6GFPV+z0o4QIgft4jgKmCmlfF8IcVco9npr02OVoO2VUj4vhPgX2q+h+WihelvPbZhwxJ/9YfG79vRZ47JQuAbYLKX8xONzX9eIU3bo/Cil1H3waSHE3Wg33nDacjbwqpRyDYA7ulmJJgIicU7sJhy+bss91on7oRGH7l9Wrykr9np9PqLlVNlxTqxcf6aJxQhOPtqvf50RwKZQRYgQ4ldCiJMMHyWh3VjsmdJYw9P2Q4G1oTQohLjdfTHqJAHmp9/V2kgHlqOFeocbhEjQ9vpqM1R7hRB/EkJcBOD+zv8OdENLRrP13IYJR/zZF0F81xuBEe5fh/qvxGFoiYWhcAIwTR+R4f5sG1oI2psd24CuQohuXpaFyjY0PwTaJj51Af8Nsy21Hu+bgRbgex92OPXdOEU4fD3ke6wT90ND207ev07A2jVlxW5fz0c7nmnbsHb9mSeYJKZIvoBsNNV4LFrYbCFwtw3tXoSWpT0cLQz2CiGOTnK3u40DCXBXASvQHHocUAIMDbHNT9Eukky0LPadwMkW27sC+NzL50Hb66fNkOx1t7sOGISW+Hab2+ltObfx4s92ftfASuBmtF9TdwFLHLBLT4g8Da0/vjfaw3orcIJ7nTeBJ912zHRfrwk27Lsr2q/cy9xtzwK+QxtFEzZb3D5QhNZFlQo8AnwY6e8m2n0dm++xwVwjm4qShwAAAT5JREFUFtsOy/3LzDVloS2vz0ebzonl689025F2+iC/uDPdB1uN1l9n19Duv7i/oL3uL6+rDW0aL74EYB5aX+JO4EIb2uyH1ndZ7XaGq4No7ym0UQLNHq/+wdoboM2g7UULaT+O9iCoBBah/UKx5dzGkz/b9V2jJdWuQhs5tAzo74BdEshz/38H2oOwBPiDYZ0ewMduO9YAR9q4/6OBb4AqtByxgZGwBS1BtMDt2++79+PTt8Px3US7r2PzPdaJ+6Gh7bDdv8xcUxbb6/B8tMtuq9ef2ZeaqkGhUCgUCkXcEYs5OAqFQqFQKBR+UQJHoVAoFApF3KEEjkKhUCgUirhDCRyFQqFQKBRxhxI4CoVCoVAo4g4lcBQKhUKhUMQdSuAoFAqFQqGIO5TAUSgUCoVCEXcogaNQKBQKhSLu+H/8qbW4z1GvpQAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(0,10.1,1.)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_400_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='gist_earth_r', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(0,3.51,0.25)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(0,151,25)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(0,31,5)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_400_time_mean_landmask-273.15, \\\n", + " levels=levels, \\\n", + " cmap='Spectral_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(0,801,100)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "ax5.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='magma', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# prw\n", + "\n", + "levels = numpy.arange(0,61,5)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "ax6.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_400_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='YlGnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,1,2,3])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(280,301,5))\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,200,400,600,800])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-0.2,0.21,0.1))\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/CLIM_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# as a percent" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-01T22:07:12.349746Z", + "start_time": "2018-07-01T22:06:59.400044Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: divide by zero encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: invalid value encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "perc_diff = (raintot_diffs_time_mean_landmask/raintot_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-25,26,2.5)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "contour_plot1 = ax1.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "perc_diff = (etran_diffs_time_mean_landmask/etran_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-40,41,5)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "contour_plot2 = ax2.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "perc_diff = (lh_diffs_time_mean_landmask/lh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-15,16,2.5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "contour_plot3 = ax3.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "perc_diff = (t2_diffs_time_mean_landmask/(t2_400_time_mean_landmask-273.15))*100.\n", + "levels = numpy.arange(-3,3.1,0.25)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "contour_plot4 = ax4.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "perc_diff = (pblh_diffs_time_mean_landmask/pblh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-20,21,2.5)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "perc_diff = (prw_diffs_time_mean/prw_400_time_mean)*100.\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax5.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax6.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)#h_pad=7, w_pad=3)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-40,-20,0,20,40])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-3,-2,-1,0,1,2,3])\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "fig.savefig('png_files/FRACTIONAL_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/gp3_MYNN_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb b/gp3_MYNN_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb new file mode 100644 index 0000000..f75e529 --- /dev/null +++ b/gp3_MYNN_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb @@ -0,0 +1,1636 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T21:13:32.652555Z", + "start_time": "2018-08-16T21:13:30.501561Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import matplotlib.colors\n", + "import pandas\n", + "import matplotlib.patches\n", + "import netCDF4\n", + "import glob\n", + "import cmocean\n", + "\n", + "import mpl_toolkits\n", + "import cartopy\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T21:13:45.212241Z", + "start_time": "2018-08-16T21:13:45.204206Z" + } + }, + "outputs": [], + "source": [ + "run_info = 'FMAASO'\n", + "skip_time = 24" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 400 data" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T21:13:50.737511Z", + "start_time": "2018-08-16T21:13:50.604383Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ls: cannot access /beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYNN_scheme_10days: No such file or directory\r\n" + ] + } + ], + "source": [ + "!ls /beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYNN_scheme_10days" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:39:32.350163Z", + "start_time": "2018-08-17T04:39:32.339549Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_MYNN30_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:39:39.210409Z", + "start_time": "2018-08-17T04:39:33.599513Z" + } + }, + "outputs": [], + "source": [ + "cont_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:39:47.419490Z", + "start_time": "2018-08-17T04:39:39.219044Z" + } + }, + "outputs": [], + "source": [ + "rainc_400 = cont_mfds['RAINC'].values\n", + "rainnc_400 = cont_mfds['RAINNC'].values\n", + "qvapor_400 = cont_mfds['QVAPOR'].values\n", + "lh_400 = cont_mfds['LH'].values\n", + "\n", + "pblh_400 = cont_mfds['PBLH'].values\n", + "t2_400 = cont_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:39:48.529017Z", + "start_time": "2018-08-17T04:39:47.428026Z" + } + }, + "outputs": [], + "source": [ + "ecan_400 = cont_mfds['ECAN'].values*86400. # mm/day\n", + "edir_400 = cont_mfds['EDIR'].values*86400.\n", + "etran_400 = cont_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:39:49.632931Z", + "start_time": "2018-08-17T04:39:48.537480Z" + } + }, + "outputs": [], + "source": [ + "time = cont_mfds['Times'].values\n", + "xlat = cont_mfds['XLAT'].values[0,:,:]\n", + "xlong = cont_mfds['XLONG'].values[0,:,:]\n", + "landmask = cont_mfds['LANDMASK'].values[0,:,:]\n", + "landmask_midpoints = landmask[1:,1:]" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:01:33.335331Z", + "start_time": "2018-08-15T03:01:32.397070Z" + } + }, + "source": [ + "prw_400 = numpy.load('DATA_prw_400.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 1000 data" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:39:49.650535Z", + "start_time": "2018-08-17T04:39:49.641541Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_MYNN30_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout*.nc')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:39:55.071621Z", + "start_time": "2018-08-17T04:39:49.658888Z" + } + }, + "outputs": [], + "source": [ + "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:03.319243Z", + "start_time": "2018-08-17T04:39:55.080486Z" + } + }, + "outputs": [], + "source": [ + "rainc_1000 = phys_mfds['RAINC'].values\n", + "rainnc_1000 = phys_mfds['RAINNC'].values\n", + "qvapor_1000 = phys_mfds['QVAPOR'].values\n", + "lh_1000 = phys_mfds['LH'].values\n", + "\n", + "pblh_1000 = phys_mfds['PBLH'].values\n", + "t2_1000 = phys_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:04.422621Z", + "start_time": "2018-08-17T04:40:03.327868Z" + } + }, + "outputs": [], + "source": [ + "ecan_1000 = phys_mfds['ECAN'].values*86400. # mm/day\n", + "edir_1000 = phys_mfds['EDIR'].values*86400.\n", + "etran_1000 = phys_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:02:17.264099Z", + "start_time": "2018-08-15T03:03:23.232Z" + } + }, + "source": [ + "prw_1000 = numpy.load('DATA_prw_1000.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# get time stamps" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:04.446197Z", + "start_time": "2018-08-17T04:40:04.431223Z" + } + }, + "outputs": [], + "source": [ + "time_datetimes = pandas.to_datetime([i.decode('utf-8') for i in time], format = '%Y-%m-%d_%H:%M:%S')" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:04.520189Z", + "start_time": "2018-08-17T04:40:04.454495Z" + } + }, + "outputs": [], + "source": [ + "skip_time = 24\n", + "n_intervals = 8\n", + "hour_strings = ['00','03','06','09','12','15','18','21']\n", + "\n", + "times_00 = [t.hour in [23,0,1] for t in time_datetimes[skip_time:]]\n", + "times_03 = [t.hour in [2,3,4] for t in time_datetimes[skip_time:]]\n", + "times_06 = [t.hour in [5,6,7] for t in time_datetimes[skip_time:]]\n", + "times_09 = [t.hour in [8,9,10] for t in time_datetimes[skip_time:]]\n", + "times_12 = [t.hour in [11,12,13] for t in time_datetimes[skip_time:]]\n", + "times_15 = [t.hour in [14,15,16] for t in time_datetimes[skip_time:]]\n", + "times_18 = [t.hour in [17,18,19] for t in time_datetimes[skip_time:]]\n", + "times_21 = [t.hour in [20,21,22] for t in time_datetimes[skip_time:]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PRW differences" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:05:23.557774Z", + "start_time": "2018-08-15T03:05:23.354091Z" + } + }, + "source": [ + "prw_diffs = prw_1000-prw_400\n", + "prw_diffs_time_mean = numpy.mean(prw_diffs[skip_time:,:,:], axis=0)\n", + "prw_400_time_mean = numpy.mean(prw_400[skip_time:,:,:], axis=0)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PBLH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:05.264913Z", + "start_time": "2018-08-17T04:40:04.529277Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:11: RuntimeWarning: Mean of empty slice\n", + " # This is added back by InteractiveShellApp.init_path()\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:12: RuntimeWarning: Mean of empty slice\n", + " if sys.path[0] == '':\n" + ] + } + ], + "source": [ + "pblh_diffs = pblh_1000-pblh_400\n", + "pblh_diffs_time_mean = numpy.mean(pblh_diffs[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean = numpy.mean(pblh_400[skip_time:,:,:], axis=0)\n", + "\n", + "pblh_diffs_landmask = numpy.copy(pblh_diffs)\n", + "pblh_diffs_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_400_landmask = numpy.copy(pblh_400)\n", + "pblh_400_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_diffs_time_mean_landmask = numpy.nanmean(pblh_diffs_landmask[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean_landmask = numpy.nanmean(pblh_400_landmask[skip_time:,:,:], axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# LH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:05.375967Z", + "start_time": "2018-08-17T04:40:05.273217Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "lh_diffs_time_mean = numpy.mean(lh_1000[skip_time:,:,:] - lh_400[skip_time:,:,:], axis=0)\n", + "lh_diffs_time_mean_landmask = numpy.copy(lh_diffs_time_mean)\n", + "lh_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "lh_400_time_mean = numpy.mean(lh_400[skip_time:,:,:], axis=0)\n", + "lh_400_time_mean_landmask = numpy.copy(lh_400_time_mean)\n", + "lh_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# RAINTOT differences" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:06.248758Z", + "start_time": "2018-08-17T04:40:05.384872Z" + } + }, + "outputs": [], + "source": [ + "raintot_400 = rainc_400+rainnc_400\n", + "raintot_1000 = rainc_1000+rainnc_1000\n", + "\n", + "raintot_400_diff = numpy.zeros((raintot_400.shape))*numpy.nan\n", + "raintot_400_diff[:-1,:,:] = numpy.diff(raintot_400, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "raintot_1000_diff = numpy.zeros((raintot_1000.shape))*numpy.nan\n", + "raintot_1000_diff[:-1,:,:] = numpy.diff(raintot_1000, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "# monthly mean\n", + "raintot_diffs_time_mean = numpy.nanmean(raintot_1000_diff[skip_time:,:,:] - raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_diffs_time_mean_landmask = numpy.copy(raintot_diffs_time_mean)\n", + "raintot_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "raintot_400_time_mean = numpy.nanmean(raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_400_time_mean_landmask = numpy.copy(raintot_400_time_mean)\n", + "raintot_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# T2 differences" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:06.358643Z", + "start_time": "2018-08-17T04:40:06.257196Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "t2_diffs_time_mean = numpy.mean(t2_1000[skip_time:,:,:] - t2_400[skip_time:,:,:], axis=0)\n", + "t2_diffs_time_mean_landmask = numpy.copy(t2_diffs_time_mean)\n", + "t2_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "t2_400_time_mean = numpy.mean(t2_400[skip_time:,:,:], axis=0)\n", + "t2_400_time_mean_landmask = numpy.copy(t2_400_time_mean)\n", + "t2_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ECAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:06.471607Z", + "start_time": "2018-08-17T04:40:06.367213Z" + } + }, + "outputs": [], + "source": [ + "ecan_diffs_time_mean = numpy.mean(ecan_1000[skip_time:,:,:] - ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_diffs_time_mean_landmask = numpy.copy(ecan_diffs_time_mean)\n", + "ecan_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "ecan_400_time_mean = numpy.mean(ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_400_time_mean_landmask = numpy.copy(ecan_400_time_mean)\n", + "ecan_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ETRAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:06.583888Z", + "start_time": "2018-08-17T04:40:06.480043Z" + } + }, + "outputs": [], + "source": [ + "etran_diffs_time_mean = numpy.mean(etran_1000[skip_time:,:,:] - etran_400[skip_time:,:,:], axis=0)\n", + "etran_diffs_time_mean_landmask = numpy.copy(etran_diffs_time_mean)\n", + "etran_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "etran_400_time_mean = numpy.mean(etran_400[skip_time:,:,:], axis=0)\n", + "etran_400_time_mean_landmask = numpy.copy(etran_400_time_mean)\n", + "etran_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# EDIR differences" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:06.786801Z", + "start_time": "2018-08-17T04:40:06.592348Z" + } + }, + "outputs": [], + "source": [ + "edir_diffs_time_mean = numpy.mean(edir_1000[skip_time:,:,:] - edir_400[skip_time:,:,:], axis=0)\n", + "edir_diffs_time_mean_landmask = numpy.copy(edir_diffs_time_mean)\n", + "edir_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "edir_400_time_mean = numpy.mean(edir_400[skip_time:,:,:], axis=0)\n", + "edir_400_time_mean_landmask = numpy.copy(edir_400_time_mean)\n", + "edir_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:07.295170Z", + "start_time": "2018-08-17T04:40:06.795345Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.pcolormesh(raintot_diffs_time_mean_landmask,vmin=-0.01,vmax=0.01,cmap=cmocean.cm.balance_r)\n", + "mp.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:17.868796Z", + "start_time": "2018-08-17T04:40:07.305821Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-1,1.1,0.125)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#dry_lon_lo, dry_lon_hi, dry_lat_lo, dry_lat_hi = -60,-50,-10,10\n", + "#wet_lon_lo, wet_lon_hi, wet_lat_lo, wet_lat_hi = -80,-75,-10,10\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-0.5,0.51,0.1)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "# levels = numpy.arange(-.75,.76,0.125)\n", + "# ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "# ax6.gridlines(ylocs=[0], color='0.25')\n", + "# ax6.coastlines(resolution='110m')\n", + "# contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + "# levels=levels, \\\n", + "# cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "# ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "# ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "# ax6.set_yticks([-20,-10,0,10])\n", + "# ax6.tick_params(labelsize=fontsize)\n", + "# ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "# ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "# title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "# ax6.text(s='mm', x=0.05, y=0.03, \\\n", + "# ha='left', va='bottom', \\\n", + "# fontsize=fontsize, \\\n", + "# transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "# bbox_position = ax6.get_position()\n", + "# cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "# cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "# #cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "# cbar_axes.tick_params(labelsize=fontsize)\n", + "# cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('figures/MYNN30_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:17.875050Z", + "start_time": "2018-08-17T04:40:17.872277Z" + } + }, + "outputs": [], + "source": [ + "xlat_indices = (xlat>=-10) & (xlat<=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-17T04:40:18.271854Z", + "start_time": "2018-08-17T04:40:17.878260Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:6: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0,0.5,'mm day$^{\\\\,-1}$')" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.5,4))\n", + "ax = fig.add_subplot(111)\n", + "\n", + "lon_mean = numpy.nanmean(raintot_diffs_time_mean_landmask[xlat_indices[:,0],:]*24., axis=0)\n", + "lon_mean_smooth = pandas.Series(lon_mean).rolling(window=5, center=True).mean()\n", + "ax.plot(xlong[0,:]+360., lon_mean_smooth, c='firebrick')\n", + "ax.set_xlim(280,320)\n", + "ax.set_ylim(-1.25,1.25)\n", + "ax.axhline(0, c='0.1', ls='--')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s='MYNN30 days 2-10 precip. change', x=0, y=1.02, \\\n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.set_xlabel('longitude', fontsize=fontsize)\n", + "ax.set_ylabel('mm day$^{\\,-1}$', fontsize=fontsize)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## for cesm talk" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-15T03:08:31.076Z" + } + }, + "outputs": [], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(11,7))\n", + "fontsize = 18\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "levels = numpy.arange(-.75,.76,0.125)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['','',''])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['','',''])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['','',''])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['','',''])\n", + "\n", + "fig.tight_layout(h_pad=10)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='$\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='$\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='$\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='$\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='$\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='$\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/cesm_workshop_precip_lh_etc_maps.png', dpi=600, transparent=True, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot climatology of these variables" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-02T05:41:27.287058Z", + "start_time": "2018-07-02T05:41:19.109426Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(0,10.1,1.)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_400_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='gist_earth_r', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(0,3.51,0.25)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(0,151,25)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(0,31,5)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_400_time_mean_landmask-273.15, \\\n", + " levels=levels, \\\n", + " cmap='Spectral_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(0,801,100)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "ax5.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='magma', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# prw\n", + "\n", + "levels = numpy.arange(0,61,5)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "ax6.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_400_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='YlGnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,1,2,3])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(280,301,5))\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,200,400,600,800])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-0.2,0.21,0.1))\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/CLIM_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# as a percent" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-01T22:07:12.349746Z", + "start_time": "2018-07-01T22:06:59.400044Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: divide by zero encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: invalid value encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "perc_diff = (raintot_diffs_time_mean_landmask/raintot_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-25,26,2.5)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "contour_plot1 = ax1.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "perc_diff = (etran_diffs_time_mean_landmask/etran_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-40,41,5)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "contour_plot2 = ax2.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "perc_diff = (lh_diffs_time_mean_landmask/lh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-15,16,2.5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "contour_plot3 = ax3.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "perc_diff = (t2_diffs_time_mean_landmask/(t2_400_time_mean_landmask-273.15))*100.\n", + "levels = numpy.arange(-3,3.1,0.25)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "contour_plot4 = ax4.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "perc_diff = (pblh_diffs_time_mean_landmask/pblh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-20,21,2.5)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "perc_diff = (prw_diffs_time_mean/prw_400_time_mean)*100.\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax5.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax6.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)#h_pad=7, w_pad=3)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-40,-20,0,20,40])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-3,-2,-1,0,1,2,3])\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "fig.savefig('png_files/FRACTIONAL_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/gp3_TEMF_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb b/gp3_TEMF_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb new file mode 100644 index 0000000..5409fed --- /dev/null +++ b/gp3_TEMF_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb @@ -0,0 +1,1641 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:38:23.822274Z", + "start_time": "2018-08-16T05:38:16.821019Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import matplotlib.colors\n", + "import pandas\n", + "import matplotlib.patches\n", + "import netCDF4\n", + "import glob\n", + "import cmocean\n", + "\n", + "import mpl_toolkits\n", + "import cartopy\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:38:23.836842Z", + "start_time": "2018-08-16T05:38:23.831114Z" + } + }, + "outputs": [], + "source": [ + "run_info = 'FMAASO'\n", + "skip_time = 24" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 400 data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:38:24.109347Z", + "start_time": "2018-08-16T05:38:23.844929Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "wrfout_d01_1979-01-01_00:00:00\twrfout_d01_1979-01-07_00:00:00\r\n", + "wrfout_d01_1979-01-02_00:00:00\twrfout_d01_1979-01-08_00:00:00\r\n", + "wrfout_d01_1979-01-03_00:00:00\twrfout_d01_1979-01-09_00:00:00\r\n", + "wrfout_d01_1979-01-04_00:00:00\twrfout_d01_1979-01-10_00:00:00\r\n", + "wrfout_d01_1979-01-05_00:00:00\twrfout_d01_1979-01-11_00:00:00\r\n", + "wrfout_d01_1979-01-06_00:00:00\r\n" + ] + } + ], + "source": [ + "!ls /beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_TEMF_scheme_10days" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:38:25.239754Z", + "start_time": "2018-08-16T05:38:25.229426Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_TEMF_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:38:34.843385Z", + "start_time": "2018-08-16T05:38:26.198788Z" + } + }, + "outputs": [], + "source": [ + "cont_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:41:01.378926Z", + "start_time": "2018-08-16T05:38:34.851770Z" + } + }, + "outputs": [], + "source": [ + "rainc_400 = cont_mfds['RAINC'].values\n", + "rainnc_400 = cont_mfds['RAINNC'].values\n", + "qvapor_400 = cont_mfds['QVAPOR'].values\n", + "lh_400 = cont_mfds['LH'].values\n", + "\n", + "pblh_400 = cont_mfds['PBLH'].values\n", + "t2_400 = cont_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:41:21.109938Z", + "start_time": "2018-08-16T05:41:01.387323Z" + } + }, + "outputs": [], + "source": [ + "ecan_400 = cont_mfds['ECAN'].values*86400. # mm/day\n", + "edir_400 = cont_mfds['EDIR'].values*86400.\n", + "etran_400 = cont_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:41:55.283077Z", + "start_time": "2018-08-16T05:41:21.118937Z" + } + }, + "outputs": [], + "source": [ + "time = cont_mfds['Times'].values\n", + "xlat = cont_mfds['XLAT'].values[0,:,:]\n", + "xlong = cont_mfds['XLONG'].values[0,:,:]\n", + "landmask = cont_mfds['LANDMASK'].values[0,:,:]\n", + "landmask_midpoints = landmask[1:,1:]" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:01:33.335331Z", + "start_time": "2018-08-15T03:01:32.397070Z" + } + }, + "source": [ + "prw_400 = numpy.load('DATA_prw_400.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 1000 data" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:41:55.300273Z", + "start_time": "2018-08-16T05:41:55.291407Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_TEMF_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout*.nc')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:42:03.652653Z", + "start_time": "2018-08-16T05:41:55.308715Z" + } + }, + "outputs": [], + "source": [ + "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:06.093444Z", + "start_time": "2018-08-16T05:42:03.661414Z" + } + }, + "outputs": [], + "source": [ + "rainc_1000 = phys_mfds['RAINC'].values\n", + "rainnc_1000 = phys_mfds['RAINNC'].values\n", + "qvapor_1000 = phys_mfds['QVAPOR'].values\n", + "lh_1000 = phys_mfds['LH'].values\n", + "\n", + "pblh_1000 = phys_mfds['PBLH'].values\n", + "t2_1000 = phys_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:24.670726Z", + "start_time": "2018-08-16T05:44:06.101720Z" + } + }, + "outputs": [], + "source": [ + "ecan_1000 = phys_mfds['ECAN'].values*86400. # mm/day\n", + "edir_1000 = phys_mfds['EDIR'].values*86400.\n", + "etran_1000 = phys_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:02:17.264099Z", + "start_time": "2018-08-15T03:03:23.232Z" + } + }, + "source": [ + "prw_1000 = numpy.load('DATA_prw_1000.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# get time stamps" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:24.693715Z", + "start_time": "2018-08-16T05:44:24.679094Z" + } + }, + "outputs": [], + "source": [ + "time_datetimes = pandas.to_datetime([i.decode('utf-8') for i in time], format = '%Y-%m-%d_%H:%M:%S')" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:26.054475Z", + "start_time": "2018-08-16T05:44:24.702667Z" + } + }, + "outputs": [], + "source": [ + "skip_time = 24\n", + "n_intervals = 8\n", + "hour_strings = ['00','03','06','09','12','15','18','21']\n", + "\n", + "times_00 = [t.hour in [23,0,1] for t in time_datetimes[skip_time:]]\n", + "times_03 = [t.hour in [2,3,4] for t in time_datetimes[skip_time:]]\n", + "times_06 = [t.hour in [5,6,7] for t in time_datetimes[skip_time:]]\n", + "times_09 = [t.hour in [8,9,10] for t in time_datetimes[skip_time:]]\n", + "times_12 = [t.hour in [11,12,13] for t in time_datetimes[skip_time:]]\n", + "times_15 = [t.hour in [14,15,16] for t in time_datetimes[skip_time:]]\n", + "times_18 = [t.hour in [17,18,19] for t in time_datetimes[skip_time:]]\n", + "times_21 = [t.hour in [20,21,22] for t in time_datetimes[skip_time:]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PRW differences" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:05:23.557774Z", + "start_time": "2018-08-15T03:05:23.354091Z" + } + }, + "source": [ + "prw_diffs = prw_1000-prw_400\n", + "prw_diffs_time_mean = numpy.mean(prw_diffs[skip_time:,:,:], axis=0)\n", + "prw_400_time_mean = numpy.mean(prw_400[skip_time:,:,:], axis=0)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PBLH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:27.098076Z", + "start_time": "2018-08-16T05:44:26.063079Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:11: RuntimeWarning: Mean of empty slice\n", + " # This is added back by InteractiveShellApp.init_path()\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:12: RuntimeWarning: Mean of empty slice\n", + " if sys.path[0] == '':\n" + ] + } + ], + "source": [ + "pblh_diffs = pblh_1000-pblh_400\n", + "pblh_diffs_time_mean = numpy.mean(pblh_diffs[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean = numpy.mean(pblh_400[skip_time:,:,:], axis=0)\n", + "\n", + "pblh_diffs_landmask = numpy.copy(pblh_diffs)\n", + "pblh_diffs_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_400_landmask = numpy.copy(pblh_400)\n", + "pblh_400_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_diffs_time_mean_landmask = numpy.nanmean(pblh_diffs_landmask[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean_landmask = numpy.nanmean(pblh_400_landmask[skip_time:,:,:], axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# LH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:27.201105Z", + "start_time": "2018-08-16T05:44:27.106265Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "lh_diffs_time_mean = numpy.mean(lh_1000[skip_time:,:,:] - lh_400[skip_time:,:,:], axis=0)\n", + "lh_diffs_time_mean_landmask = numpy.copy(lh_diffs_time_mean)\n", + "lh_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "lh_400_time_mean = numpy.mean(lh_400[skip_time:,:,:], axis=0)\n", + "lh_400_time_mean_landmask = numpy.copy(lh_400_time_mean)\n", + "lh_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# RAINTOT differences" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:28.086969Z", + "start_time": "2018-08-16T05:44:27.212275Z" + } + }, + "outputs": [], + "source": [ + "raintot_400 = rainc_400+rainnc_400\n", + "raintot_1000 = rainc_1000+rainnc_1000\n", + "\n", + "raintot_400_diff = numpy.zeros((raintot_400.shape))*numpy.nan\n", + "raintot_400_diff[:-1,:,:] = numpy.diff(raintot_400, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "raintot_1000_diff = numpy.zeros((raintot_1000.shape))*numpy.nan\n", + "raintot_1000_diff[:-1,:,:] = numpy.diff(raintot_1000, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "# monthly mean\n", + "raintot_diffs_time_mean = numpy.nanmean(raintot_1000_diff[skip_time:,:,:] - raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_diffs_time_mean_landmask = numpy.copy(raintot_diffs_time_mean)\n", + "raintot_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "raintot_400_time_mean = numpy.nanmean(raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_400_time_mean_landmask = numpy.copy(raintot_400_time_mean)\n", + "raintot_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# T2 differences" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:28.192455Z", + "start_time": "2018-08-16T05:44:28.097477Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "t2_diffs_time_mean = numpy.mean(t2_1000[skip_time:,:,:] - t2_400[skip_time:,:,:], axis=0)\n", + "t2_diffs_time_mean_landmask = numpy.copy(t2_diffs_time_mean)\n", + "t2_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "t2_400_time_mean = numpy.mean(t2_400[skip_time:,:,:], axis=0)\n", + "t2_400_time_mean_landmask = numpy.copy(t2_400_time_mean)\n", + "t2_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ECAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:28.418358Z", + "start_time": "2018-08-16T05:44:28.202269Z" + } + }, + "outputs": [], + "source": [ + "ecan_diffs_time_mean = numpy.mean(ecan_1000[skip_time:,:,:] - ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_diffs_time_mean_landmask = numpy.copy(ecan_diffs_time_mean)\n", + "ecan_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "ecan_400_time_mean = numpy.mean(ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_400_time_mean_landmask = numpy.copy(ecan_400_time_mean)\n", + "ecan_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ETRAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:28.581807Z", + "start_time": "2018-08-16T05:44:28.428528Z" + } + }, + "outputs": [], + "source": [ + "etran_diffs_time_mean = numpy.mean(etran_1000[skip_time:,:,:] - etran_400[skip_time:,:,:], axis=0)\n", + "etran_diffs_time_mean_landmask = numpy.copy(etran_diffs_time_mean)\n", + "etran_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "etran_400_time_mean = numpy.mean(etran_400[skip_time:,:,:], axis=0)\n", + "etran_400_time_mean_landmask = numpy.copy(etran_400_time_mean)\n", + "etran_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# EDIR differences" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:28.691332Z", + "start_time": "2018-08-16T05:44:28.590181Z" + } + }, + "outputs": [], + "source": [ + "edir_diffs_time_mean = numpy.mean(edir_1000[skip_time:,:,:] - edir_400[skip_time:,:,:], axis=0)\n", + "edir_diffs_time_mean_landmask = numpy.copy(edir_diffs_time_mean)\n", + "edir_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "edir_400_time_mean = numpy.mean(edir_400[skip_time:,:,:], axis=0)\n", + "edir_400_time_mean_landmask = numpy.copy(edir_400_time_mean)\n", + "edir_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:44:29.383298Z", + "start_time": "2018-08-16T05:44:28.701464Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.pcolormesh(raintot_diffs_time_mean_landmask,vmin=-0.01,vmax=0.01,cmap=cmocean.cm.balance_r)\n", + "mp.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:35:04.629685Z", + "start_time": "2018-08-16T20:34:52.825333Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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tvbDbdP86wTzarydukoxv2kV80y6Sun0lP/30U6G16cePH2f16tW0adOGli1b0qFDB5555hkmTZ3OjHkLmfXyk8RfvUTbtm0ZN24cu3btolevXlSuXJmxY8fSrFkz5s+fXyh1u1cJDQ0lKioKAFdXV27evGm7zEXkrjagGzAbEKBV1r5KwDWgb9b/PwKfGKV/A3ABVgNuVpQhaWlpAgg+VWXe0X1yISFe/rh8QYZOmigtW7aUzMxMsSUrVqyQypUrS1RUlLiENpDG418Ur4H9JGLmR/LH5Qvyx+UL0uvd1wUQp0qVpOmQAfLVL2tlzG9rRA0bIkQ0FpqFSLkqlWX69OmGfDMyMuTy5csSFxeXrbzMzEw5duyY7NmzR2JiYmTNmjWycuVKWbhwoXzzzTcyZswYadeunaxatcqm11kYnDx5UpycnAq9nPDwcKvS6cz87uxcisDWs+op77zzjgCSdOFfeRp/eRp/eQJfccVeNm3adNf3zZhr165Jt27dJDQ0VHr37i1t8ZQPQkLk95mTJPXSSUm9dFJunzsmPjWqCyC9u3eRr2ZOl4Mnz8m5a7ck9dJJSbl4Qt6e8JL4+/tLUlKSIe/ExEQ5c+ZMjmfz6tWrcuDAAdm2bZv88ssv8vPPP8tPP/0k06ZNk8WLF0vfvn1l0KBBNr3OwqIs2npRtek3b94UQB588U25vfQDg623oKJ069bNFrctG998841UrlxZevToIXVxlfkdW8r/LVgs8f/uk7QLxyTtwjF59PVpAoivf4CMGjtOVkdvleOXE2T2zlPS7sMYafbKQgkK8JOvvvrKkG9GRoZcvHhR4uPjs5WXnp4uR44ckd27d0t0dLSsXr1aVq5cKfPnz5fvvvtORo4cKe3atZPo6GibX6u1DBw4UJ555hnD50uXLgmQ7Z21fft2KVeunNy8ebNQ6/L5559LZGSkVe9ya+3cFo3+ZGAucNPoYXgM2GiUpilwMev/7sAkoAKwBnC1ogwREWnRooXgV02IaCwvbF4r847uky8P/yk1agfa9MV/+vRpqVSpkqyJ3iQvbF4rdG8rvpMmGMrUC5xmb00QQCpERkiHr/5P/rh8wZCeiMa6LSRQ7MqVk+rVq0u1atXEwcFBPD09xdPTU3744QdDmYsXLxZA7rvvPmnXrp2Eh4dLVgMjTk5O4uHhIZ06dZJJkybZ7DoLC1s1+u+9956Eh4cbtrfeeivb8WIQOIVq63o7/+OPPwSQ4//FSXLMN4aGPxIvadeunWRkZBTgbprn4YcfluGPDJbE8/9I6qWTsjU8QpJjvpHUSydlmmsdg8hp1ayJAIbP567dMggc/eaJg1SpUkVq1KghFSpUECcnJ6lUqZL06dPH0Pjfvn1batSoId7e3tKqVSvp3Lmzwc7129y5c/XfWYmnLNp6UbbpderUEbfQvtLuwxiZ5VFPnsZfnsRP3LCXrVu3FuBOmufAgQPi7e0tf25aZRAzt5d+ILN3npITV27IgcFRknbhmIz57BsBZOCLb8mJKzcMW7sPYwzbgs8/EGd7O6levbp4e3tLuXLlxMvLS6pWrSpr1641lDljxgwBpEmTJtK+fXtp1qyZwca9vLzEx8dHWrZsKZ9++qnNrjO/zJo1Sxo1amT4vHjxYqlQoYJERUUZ9k2fPl1atWp112VZsvG0tDQZMGCADBs2TG7fvm1VXkUmcOSOwZ4yehg+Aj4wOuaU9cW6oesW+x6IA8ZYmbeIiPTq1UsIrCkEBwgB1e+IiIZBUqVKFdm9e3d+77lZvv32W4nq1UsuJMQbPEX6//Xb6atXJKxFcwkMDJQ6zZrItvOnDcc6fPV/Oi9O97YSOX+WMKSv0LyB0DxEaBMmdG8rby7/Tir71BQfHx9p3bq14FBOCK4lRDQWNWyIXPnvX6kV4C9jx47V/aLw9ZU6derIJ598UqBriomJkeDgYHnuuefExcVFWrRoIStXrpSGDRtK5cqVZdq0aValscScOXOkatWq4unpKa+88kq2Rn/u3Lni5+cn5cuXl1atWsn+/ftl0KBBMnHiREOaL774Qtq2bZuvaypqgSOFbOt6O9+6dauEhITI3kP/St8BA+URahoa/uo4yYgRI2wmcvz8/OTgjuhsQkW/6QXO9/P/T/x9a4qdnZ1sWrHErMB5Gn/Z0Kq1nFz6uex++RGJffVxSYpeJDd+XSDP9O0irq6u0qRJE6lewVV6NwySk2+NkPOTn5FprnWkDZWkXr16MnjwYAHkgQcekGrVqhX4mjRbL9l2Lka2Hh4eLvZ+baXeQ6/J9OF9DWK+K1WkevXqcvDgwXzdJ0vMnDlTHh88wCBu9NuJKzcM/984fkDqN2gogYGB0qFLN/nn4nWDwJm985TM3nlK0i4ck/2DusvZfdvk1N7fZcffR+XI+auSduGYxPz0rdSs7i3+/v7SsmVLqV6jpnyzfJXcXvqB3F76gTyOj7hgL6+++qoAUq9ePfH395eFCxfa5BoLwqFDh8Te3t7gnXniiSfk7bfflgoVKkhqaqqIiDz44IMyYcKEbOfdzfNjyqxZs/L9w724Bc6XwOsmx9OAGvnI7ylgT9YmIiK///671K1b986vvZBaQngjncjp3E6qVKkiMTExFm/KunXrZNasWbJ9+/Zc3WAvvfSSvPrmmzlEjfG2LiZGqlSpIikpKRJUp458u3x5tuPzju4zeHvmHd2Xzasz7+g+eWHzWvny0F7ZsW+ffPr9t9J21nRD15YaNkTmHd0nX2/6Rdp26yrVfH3FxcVFnnzySbl+/bp1FmBCTEyMAPL555/LzZs3pUWLFuLr6yvHjx+XQ4cOiYODg6xYsSLPNKZuWBGRf/75Rzw8PGTLli1y/fp16dWrl6HRT0hIkPLly8u+ffskJSVFXnrpJenfv78sWbJEGjdubMijT58+2dyi1lBCBM5d2bo5O09LS5NHH31UXO3tBRA/ysvj+Bi6qqrjJI888oikpKSYvd4rV67IJ598IosWLZJbt25ZvC9XrlwRjwruknLxRK4CJzywpsydO1fmzp0rHSLaZPPi6L0+5yc/YzYP/Xb52H7Zsma5/LFxdY5jU1xqSyMqSBUcxcPDQ0JCQrL9Es4vmq2XPDsXC7a+du1aqVWrlqFNvx9vg8jpSGXx9vaWXbt2WbzeFStWyOzZs2XPnj25tunDhg2TGVPeziFwjLd1330ltWvXluTkZPGuVl22r12a7bheqOiFkbnt2H/XZNPOP2XhDz/JZ78dNniI9OKoD97S0N5FKqly4urqKqNHj7baa1FYeHt7G7q+/fz85PDhw9KsWTPZvHmziIj4+PjI+vXrs51jzTNm7vkxx0MPPSQtWrSQ9u3bS/v27eXAgQN5nlPcAucD4D2jY45ZBly+gHkbLiwxMVHGjRsns2bNknr16gnuLkKT+kJEY2k8/kUJCAjIJnIyMzNl8+bNMmLECMHJQRx9auoeJnt76d+/vxw/ftyQNjU1VUaNGiVu7u4yZ+FCuZ1wQW4n5PTeXEiIl5vXz0lISH2ZM2eOuLu7y6Z/j+QqiEw3vVdIX4ZxOfOO7pMOX/2fvLB5rWF7b/1KadSyhTz55JN5fvnmiImJkYoVKxoagREjRsiLL75oOO7l5SVffPFFnmmOHj2aI+93331Xhg8fbvi8a9cuQ6OflJQksbGxkpGRIadPn5bx48dL+/bt5caNG+Lk5CTnz5+XlJQUcXNzk1OnThXo2vKikAWOzWzd2M5FRFauXCkzZ86UQYMGiaenp7SiojyFnwzHT4Jxk379+mVr1C9duiSfffaZVKCcBOJieGnUqVNHvvjii2x5//777xIcHCzNGoeZFSTnJz8jT+Mv5yc/I2/UqSvVsjxHTfGQaa51DFtewsbaTf9SG4GftKSiOGMnp0+fLtD3rdl6ybZzMbH1hIQEefnll+XTTz+VwMBAqYGTPJTltYyiitSsWVP27NljSJ+RkSEbNmyQRx55RCpQTrxwEEAcUDJkyBA5f/68IW1SUpI8/vjj4uriIuuXfGVW2BwYHCUHBkdJ/JIpUt3FWRYsWCAeHh6y58GuhmN6YZObuNFvuaW7vfQDmeVRT2Z51JPX3PzFz95Jxo0bZzsDKAADBw6Ud999V44dOyY1a9YUEZEJEybIG2+8IefOnTMbf2PNM2bu+bEV1tp5Yc1kfAS43+hzMPCPiCTdbcbly5dn2rRpADz99NPMnDmT58ePg6bB7NsWA47QoUMHvKpWZeKECaxevZroHdto8/BgKoS3xu+/81xs0pirPlVZfvo4O9q25dvFi2nRogVDhgzhVlIS2/7cS+2qd2bQ9CCRBFyy1cPOzo5X3nyLdya+Tr8nHmPV+ROsOn+C9xo3zpEW4GxKIr5Od/br/49N0X2OvX7ZcOyb7TuImfcFMW7uAHQY9BCNAv2Z9X+zGdirO7ofU/mnatWqhgVJ7ezsqFChQrbjmZmZVqUx5dy5c/j5+Rk+16hRI9vx999/n82bNxMUFIS7u+6a3N3d6dSpE2vXrsXf35+6desW26iou6TQbP3++3XZPvfcc5w4cYKePXty6kgctXAhHE/m/vQT5ezseHbkSFxcXPj8g4/wpTw9Hb34PTWBSjjQEDc8/7nBhKdH8ffffxu+i8cff5wvPvofPbp0NJS3q/9Qw/+Ltp0F4OT6WF79bQ0bI9qz8suFdKQyx2+nMjTclxbLF93tJRr4/NJvjPaOxA5FYzxItE9nQt0WfJt8sUD5abZucwrNzitUqMAHH3wA6Gx9ypQpfP7GZPpRnd4envx3/j+aNWuGv78/Y8aM4ccffyTucCy9AmrwzAPt+XLZ7/Twr06jOEf+Wv4LYUuWsmbHFoKDg+nbty+V3Zw5visGL89KAKRuX2koe+HwuQBERAXi2q4/U6c58PKwEbR38MDR3p6t604w4vAqAM46VLPqeozT/XpcN7VJ1yBPfNMuMs/nQbr/+zTrazcn7hYMdvXmm48+NbzTioPIyEjWrl2Lp6cnXbp0AaBz5868/vrrhIWF0axZM7MzShfk+SlqCkvgrAA+UEq1BWKB/wHf2roQOzs73crKSSlwKwnKO0IlN7ivHnE3bjN22nvg7gKN6hCXkYHDvv18sWotW7Zs4c33/0eTieN4LqAub7z/P7b+uoG+AwYwf95cqjim5yjLg0SAbOKla1QUwR3bE3v9Mg0rVc0SLYlm62osbvSsu3iKb7bfmTFzSs8+ACzuP4SaW35Hjh0GIOb7b3nk089p7JFIUlIyATUrEtmlL1OmTKFaNeseOsCq1dYLsiK7t7c3Z86cMXw2/n/RokWcOnWKkydPUq5cOWbPns2SJUsA6Nu3L2vWrMHf359+/frlu9wSQpHYemBgIF5eXpziLD44k4HwMDW5QToxMxfijD2/7v6T1JQU3hw7kgGtB9O3b18GdOhKAC70xpuNMxYwf/58XFxceLdGDXp372LIf1f/oQZRY0q5cuWImT+NMVmLf745OYoqT43P9zVcdqhidpZmc/jYOfFzylVq2jszc9kS+vTpky/b1Gzd5hSJnZcrV45GjRoR7wg9OvuxYu0pGlGB2rjCpSRWTHiHJ5+JYm7Ua3zx4zzct2zjl13bWLVqFbPencJLbr7UtHNieHgnDmUmUl9cWXd2N/b29oYyTBf3bOThbPh/SP/e3Jo4h4iowAKJm1+PXzMsQfFQRK0ckxgC+KbdEe3XbsNV0qhq78iAp59k8uTJeHl5WX/DbEBkZCRvvvkmjo6O9O/fH4CIiAgOHjzI+vXrLQ7ZL8jzU9QUykxKIhKHLur+a+AscBl4vzDKCg8PZ/r06VQ6fRl2/I3L3yeIcK0CIlDbF7y98Lx4g/9+387GTb/Rpk0bxo8fT11fP/6Z8iEPdGvLR98sZM7BPbw66zMcHR0NIiYBlxzeGFOh4+vkQsOsdbGM9+eXRoH+urycoGLyYbY2PKc74OZOh0EPMbhaVVwfH8+12j54j3oBN7tLNGzYkPfee4+0tLQClWkrHnjgAZYtW8aOHTuIj4/nvffeMxxLT08nIyOD5ORkDhw4wKxZs0hLS0NE6NOnDzExMaxatYoHHnigGK+g4BSlrc+ZM4egqHbM5ywLOUdMDeEwN+lbvjI/XzvPwQP76dGxLb3Ug3mQAAAgAElEQVT7PcAHH3xAZGQkv+7dyV4SuE4a7fHikcTK9Lvqwl8HLE+DH+TqyOeXfgOgxfJFZB7axp7XZwN3J26M/+ZFjTRXelCV7g5eDOs3kE6dOhEbG5vvcm3NvWrrRWnnPXv25I033qDf+m18xVl+dLnGdq7hpBTrvp1I5Ouz2TPtUVIvHiL6t800b96cd955h/QKLvzf7fOUS3JkpJsPn7nXoR1e2cSNKTMubOCxeU8SNEDnyUzdvpL9CckGcXPWoZrV4sYSvmkX8d78BanbVzLcL5XDY8ewP0E3MWYTj/K84V6LZ1xqcmjed9SvX5+PP/64SL0fwcHB2NvbG+Z8A3BycqJly5YsWrSo0OYkKgpsJnBEJEBEdhp9XiUitUTETUSeEJEUW5VljFKKF198kbNnz/Lzzz9z9epVJk6cSNVbaRD7L1P6P0pg/XpENmpMWFiY4byuXbvyUL9wlly8TKsJL2FfrmDOLA8SCZXTqOTTFo97GHl1jP+PqhbAlJ59mNKzD680bpPj3KcyD7OtK6zpkdXtdesmODnyX2oKH0x5i81rZ7Nh3U888cQTxeoODA0N5aOPPmLAgAHUq1ePbt26GY4NHToUDw8PqlatyrPPPstHH33EsWPHmDlzJlWrViU0NBQXF5dCmcCusCguWw8JCWHt2rXExMRw8eJFNm7cSIcRD7M45SLdI8OpVr0G5cu70LNnTxwcHACoXr06DiiqoJvpW6GwQ/fLa7R3pCHv7fsuWSx3z+uzWbTtLG9OjsIrIsLm15V5aBuZh7bxacwdsVAOhSeOOKQ4MIDqpMbsp0VoI/bt22fz8vPDvWTrxWXndnZ2vP7668TFxbF+/XouXbrE7J9/ZF35NKImzWb1imUEBTfg8e5NqF+/vuG8/v3709RR1y24PyEZ+ywPw6gaXcyWY46Fw+fSyMOZx+Y9aTGNflJC401P1yBPFjzWlAWPNc3hvVk4fC6janRh67oT2bxGXnYOVLd3YlB5b75sXp+v3nub0aNH62OVioTIyEjq1q2Lt7e3YV+XLl3IzMwkPDy8yOpha1RR3sSCopSS/NZzy5YtjB07ljOnjnP//b2ZO/9rzp07R82aNQE4dOgQ7du3p+Pbr/Lj3j2MeWxotvgZY0+NPn7Gw0L3k0o+jThn71M3zcd4n36/OW+PB4kGsXT2zyVU9AnDzS/KUA+AULkjppKSkun7yGu0btOWqVOn5uselQSefvppAgMDGT8+/14Ba1FKISIl3p9aEDu/ffs2n376KRMnTmTMy+P59MOpvPbaa9k8Cw888ACxy3+hPV4GcVMQPo15D7uQgjd2lrqorsyZavAKGYsuU45zm+1c58TF89ka4tKCZut3KIitb9iwgZEjR2IvGdRt1JSfl/1IfHw8Hh4eAOzcuZN+/foRfhEq41TgujXycDZ0TUHO7im9oDnrUC2buDGXVp8+dftKFg6fy/6EZEYODmHruhMGL44pdSs48Ontszz77iQmTJhQ4Osoy1hr52VW4ACkpKTw1FNPUbFiRV599dUc8Sq//PILo0ePZso3C+lePwCAffMGcd/D0wyCxZLA0YuaBCwLH1NMBY7xPtM8jD1C8c7BOc4zZveePxn+zIusXb2aunXrWlWX4iY1NZXr16/TtGlTdu3alSNY05aU5UZfz3fffce6devo1asXAwcOzHbs9u3bjBo1ir8WLKcVlazOc2i4b464nPyInNHekYauLnPCRX/sk8CuHL+dmuO4OTbYXcY705nfUi4W2fpzd4tm6zkpqK3fuHGDZ599lmrVqvH6669TqVJ2e162bBkTJkyg1b9JuFoZYjp96SiOL41m5pI7632NHBxC8PRPDYLFVMjAHYFzeOwYgqd/CmAQMsbovUGmZeRGo/ZVmHHgGKv37iuy9edKE5rAsZKPP/6Y9Wt+5KflywBYPbEVkU+/hZufbm0MYwFi6kWxxmtjirG3x1gc5XVubh6h69eu8+LI59i7azczZ8xg0KBB1l5+sbF161a6du3KK6+8wqRJkwq1rLLe6FtDXFwcfpW96UFVvLBOGHx+6TdD8HGQqyNtGnvnOXJKH2NTNe1KroHLoIv1AawWNwCx3OAIt3DGnsM3LhtGKpVkNFvPSWHa+ptvvsn6KZ/QJC1ngK85ZlzYAMDhsWOYueQQIweHEDSgI45t+mTzyJjz1uj3jarRhUYezma9Mo08nA1By5a8NqbcIp2zNVL5Oy6Bb5b/RI8ePaw6715BEzhWcvnyZerVq8e5UwfNRoXrRYheTOgFTkMzHlBrBc7Ny4dwrxqSTejoMS7LGvFjfO6h2FgeffBBxo17heeffx47OztEhLi4OC5duoSjoyO1a9cuFdHvtkRr9HUMGzaMf79aSQjWiYIgV0deOPFrti6kvDAWOLl1N90NmQhbucYVUtl37oSh2zk5OZmLFy9y7do16tWrh6ura6GUX5LRbB2OHj1K8/oNeYiaVqXXe2tA54FxbKMbzWqpa8qUL4N7Wy1c8ksFV2HG7XN8PncOw4YN03+/XLlyhcuXL+Pi4kKtWrW0Nt0CRbMefQnGw8ODtLQ0Ll66nOOYsbg5m5Jo6KrydXIxG1RsGlBsDnH2x71qCAC3zqzj1pl1Oc4x91kfm2MpmBnAvU4gK375hfkLFuDu7kaTxsE0Cq2HT83q9OvdhQ6REVSrWokhQ4awcOFCrl+/nmtdNcoWNWvW5DrWjbgzFjfvvLHO6jKqpl0pVHEDYIeiLZ4EUJ4AH1/cVTl8VXlcypcntFZtujRtRUU3d6opZ9544w327t1bpAGbGsVL9erVSbQX0sn7O2/k4ZxN3OixduSU8YiowuDGbUVvqjHuyWdxsrPHWznhZedETe9qtAttQmhQXdztHBg6dCjfffcdN27cKLS6lEbueQ/O8uXLee/dd9gcvQY7u+x6z9g7YhyHYy6ouKAYx/IAOeJ89N4eU4zPMcWDRBISbnDs7y3E7t9J34deolKliogIh3YsYtvuI/z623627T5G8yYN+OjTOTRq1Mgm11MS0X7V6vBQDrTFEx/KW0xjPAz8ypypLJ6yiRdO/JqvcvITU3O3ZCLcJJ3rpOGIHTXQjU5JI5NLpHCeZE6QSCbCa/+bzCuvvJLrsOHSjmbrMG/ePD585nnap1uekkAfSKzvZtKLG9NuKT3mvDep21fmmFOnMEkhg+ukcYN0auGCA3YIwg3SOU8yp0niP5KpjjO/HvmLevXqFVndihpr7bywJvorNYSGhnLp8uU8XXzG4kYf9JuXt8aaAGS9ULKULv7cgWwCJy9hpa9jRSdo0awhLZo1RJwrAjqjaNDmURq0gafGQGLcEX5YvZfOnTry2eczGDJkSK55a5RuOvXrTcJPW6xO/84b6wyBwPnhbsWNPpDZGu+RHQoPHPDAIdt+B+zwoTw+lKcFFblGGp+/9jZbtmxh8eLFOYJTNcoOoaGh3MjMOVmrOfTixppuKdOA4+NLo++qnsaxPtZ0czlhTzXsMa6hMrL/ENxJJZOj3KJx/RB++HkFvXv3vqs6lnbueQ+OiODt7c2WmDVU8L0zAik3YWJNrE1+0hWUvIaZW+tl+jv2EEMeHs6gwUN4//1CmburWNF+1er46KOPOH78OJn/txbQdUPpxcjQcF8AanVvSJWnxmcbAZUfbNE1ZVxu5qFtxG3dmq9uMktkIOzkOklBVfnll18ICgq66zxLGpqt6yZcrFChAoOSKuOEXbZRUqZDwPPy3JhDP3LK2hFRlpi+dJRBWOnroh9KfrdcIoUNXOH1998tk0PNNQ+OlVy5coXU1BQcq/jlnTiL3IJ9LU3qZ4n8ihHjcizlb21e+rJDG4bwe8xawhqEERQUxNChQ3FyKvg8EholkyNHjnBw7jLC0K0Z8/zqtxjTYSJDw31p9u4z2IWEk3loW77ETX5jdKwh89A2w1B0u5BwqoSEgw3KsEcRjie7j19l1KhRfPjhhzRo0OCu89UoWZw6dQqH5FQcsuZ8cmzTh+A2fRjJGIIGdDQIGe/NXxiOG2M8z40xU6uE2rSex5dGE2wkrHzb9CEiKpr9dymcALxxoj/VmfTqRPz9/XnwwQcpV8DJbEsz97wH59ChQ7SNiODtqVMYNqi3oVspv3E2BfHW5CZuTLu3zHV35WcOnrzqsWryIE7cduW73en0H/Awb7311l3nW1LQftXqqKNcuUkGvfHG3mjCP+Ph4PrPeVFYcTb64GZTbBm0nEImO7nOaRK5fDPB7EKCpRXN1uGPP/6gU+s2RIgXAbgYhm/PuLCBsw7VuDV6kGFpBlNxY4xeeKyv3RzAKs+KpaHi5tIZe5L02Dqu5x9u8Rc3mPTphzz//PM2y7e40UZRWYmPjw+VPD3xKp898NBUdOQ2egmsG0Flijj75yqizE0MmFuau2XY2Jf5euF8ZsyYQXq6dX3YGqWHZz+ajCC5zmX85uSoXPMY7R3JaO/IQg8ivuxQxep1q/KLE3a0x4tqOLN48eJCKUOj+AgMDMSjejXKGVm68dIIW9ed4PjS6FzFDeiEzdQqoexPSLa626gg6Wyx3pUl6uBGJF588skn9+RIwnte4Lz44ou0DA+nz/26iZT0QsJY0OQlbgqLvASTJVGV13Byc/gE6oav16kdREBAAL///nu+ztco2cTGxjLxpXF0onKO5RoyD20z/J9bd1NhDv3WU1SjrwBq48KyZcuKrDyNwkdEePrpp6ly4ZZhtGBEVGC2NPpJ94yHhUP2LqlRNboU6vBvUyzNsWMLquCInZ1dsa/jVhzcs11UGzZsYNmyZaxdt45N27dR0/2OB8fc8GxbDQsvCgoyjP3c9qn4NhmMOPvz6cwFnD9/nhkzim4IZGFyL7vt4+Pj+eyzz/j4rcmEUYFgM5P8mVuSQR90rCe3GYltjaXlIGwtsNLI5Ef3eE6dOoWnp3Wz3pZ07mVbX7VqFcuWLePXRd/RM7OaoRtW7715bN6TOLbpk23xzelLR+XIp6iGfhtPMGhMYQw/rzBuIE5OTkyePNmm+RYX2kzGuXD69GmaNm3Ki2OepV2PPjStc2fGS5V8mr8WvwJA5eAmVPQJyzbrsMU62nBunKImARcqJh8GdEJu7z/nGXx/H86ePZtjbqDSyL3c6A8bNoyYr5YQhCtBuKDuYrHNokQvuozFTmF4kH7hMm8vnM2jjz5q87yLg3vV1g8ePEiHDh1odxMaO7hz7mYGkL1rCqzvQioq9CuXLxw+1xCTY4sRWqZcIoVjIZ4cPHjQpvkWF1oMTi7s27ePBiH1eHHMc9nETW7k1e0jzv7F1pVlrlyVfNowU/K57VOt7rZSyaepXacOHh7uTJs2jatXrxZGlTWKgLS0NFZ+9Q334UFtXFEohob75hlnUxLQe4zitm4FrBM3BbmuWrjw8mMj2LFjR77P1Sg57N69mxrXk6ic7MK5mxk08nBmxoUN2bqnSpq4AV2djL011oibRh7OOYRbXlTFkdOHjjJz5kzi4+MLVNfSyD3nwbl+/TpVqlThyWFDmf7h/3Icv3VmHfHnDhg+Xz38JwC1uzxuWICzJGM8CkyP3rNkzT795117YnnjrXep7NuE5cuXF0XVC4179VftyJEjWTDrC3rjTUUcCHJ15PnVutFxYzpMtFk5JYXPL/2Wby+Pn0s5fku7zua06xw4crjUz/56L9r66dOnCQgIIMrJC78U3Yi46UtHcan903hv/sJmc8uUFPSLd+bHy9PIw5mj6YmsTb5K28eGMG/evEKsYeFTIjw4SqluSql/lFK3lVI/KKXclVJ2SqlvlVJxSqmXCrN8U86ePcsLL7xAlSqVmTB+bM76Jp/GvWoIvk0GU9EnjIo+YYZj8ecOFJuHJj8YBx2bjtIy/l/v0dGn0R/T/61uF8uIB5tx8UzZcGkWJiXNztPT0/nmm29YMOsLQnGnYtYsv2VZ3EDBurDa31edt1qE4G3nyLVr12xfqTJGSbP1EydO8PLLL+OGPdVTdCNKRw4OySZuyhr7E5LzLW4iogIZ3rshz7WuT/T87wqxdiWLQhM4SqlKwHfAOMAHUMBkoAtwGPAFOiilimQSisGDBxMWGkplT3f27dlC1SqVs9fX5GWv99ZUDm7CuROn2bfmJ25ePpQtvfFmmld+xdDdiCdL55rbb07MmEvj3fAB5ny/m1bteha4XvcCJc3O161bR0BAAC8PfZIuVKYxHoDOuxG3dWuZFTcFZdG2s7y77SipVSoSEBBQ3NUp0ZQkW8/IyKBnz56EBNXh5NINDKQGDlmzFgdP/zSb58ac9ya/XTxlgaT0DKZsPcSwd14t7qoUGYU5teH9wJ8isgJAKTUFWAOsB+yzylZgxZKvNuC3334jeuPPVKvbCHeTodV5BQg37tnP0FVljRApSLDx3QQomzvXUn76LqzcysvMzGTEi9Nxr+jFtGnTClyve4QSZedHjhzB9Xw8Hcg+r8au/kPZvu9SUVShVHGRZLZwjeift1O9evXirk5Jp8TYulKK6OhoBlIDF3QjYBt5OHN8aTRBkGe3VFnqssqLiKhA/Pu1Z+DUBdRycGLixHvnR05hdlGFAX8ZfY4FvIHtQDBwEvhVRG4XYh0AiImJwcnJAX8/X91K27gYNjAvBm6dWce/GxYAUNEnjMrBTXDzi8pzcr7C5m67yayZjPDmzVts2rSZ+qGtWfjVbDZs2MCBAwe4cuXKXZVdRikxdp6ZmcmUsRMMK2rr+fzSb9Tq3rBI55gpLZwhCQ+7ckxt25sVK1awY8cOTpw4QWqqdq/MUGJsfeXKlVRKzcTZ6BU24vAq3D7/nuNLo+8pAZMXW9ed4ErCLbYc+If76lVlWngTNm7cyN9//01cXFxxV69QKbQgY6XUl8BpEXnXaF8a4C8iF6w4/yngqayPTZ966qnckufKkSNHqFylCh4VK2JPJhlGD4W9JINyzH6C6Bq3zLQk7BzKZ//fOK0YNYKmeRQW+jILszxJ5XRCIjevXae8nT2Z6emkJN0mPROCg4NxdNRNHJXXCuwlhTlz5hRa4GVJsvP4+HhOHz9hiLnR41e3JrfPXyFOEzhmSSKDDIRMBEG3KGdFT09q1apFenp6qVrD516x9djYWDzSMsnMvHOpfmG6xZKTz57h8nVN4BjjYq+wdy1HQkoa6SKkZ2aSkp5JBkJYWBhKKezt7ctcm16YAucDIFVEJmZ9dgRSABcRScpnXgWOuP/3339p3rw5+//9BwcHB4MHB7C45pQlL4l+8j9zQ8Jt6dUp6Jw6pss2GM/KLM7+hsn8IPf6JuDCtH3b2X/iNIv7D8GDRPbNG8S4H1OIaBnC3K9/Ji0tjfbt2xMVFcX999+Pj49PvutbVBTmyJKSYueZmZkMGTKE8z9soGHWYpp6jFcN18idIFdHDqffZl1KHI7YcdlZCAwMJCoqip49e9KuXTvs7e3zzqiYuBdsfe/evbRv1pKHqcmowQ3Yuu4EEVGBhvWlimqivtLEyMEhhvsDGFZX/9nuP5o4uLPVWbc0T8eOHQ1ture3d3FVN09KwiiqI0BDo8/BwD/5fRDuhv/++49GjRoxauxYHBx0v2qNF6hMwMVi/Iq5/fqZjQtT3OjzK0igsikJuBjyuHVmHRV9wqzuYnulcRsW9x9iyOe+h6fh7OzM3IUr+f7beSzbs5MaHSOY8fNyGoSF0aVLFxYtWsStW7fuqs6lkGK3c4Bnn32WjT/8RCCu2fZr4iZ/HL+dypWUdC6Sggv2PJJclXqHrrH5o7kM7Ngdf39/xo8fX2YmTMsnxW7rR48epX379jTBg8Ye5Q379S/v40uji6oqpQZLAdUjB4fgoOzYmhrPFy0bsKJDU5r/d5wNX8+ijq8PPXv25PvvvycpqUibMptSmB4cL+AfoA+6vtpvgN0iMqkAeRVI7aekpFCxYkXOnTpIankvi+mM41KMvSemq31bGpWkpyAriudFcc6QHJsCsdcv07BSVXydXPhr86/4+tQkKKiW4RhAnfIV2PrrBtb+8CP7/9jNk8OG8eGHH5aYWZAL+Vdtsds5wPjx44mZNocmWaOm9GgCJ/+kkskZkszO/HydVK44JBOrbuMXGsr8+fMJCwuzkFPRU9Zt/dq1awQEBDDkZiUae5Q3rCv12LwngbyDi+9l9MPFjfni5wPEJ8KcpS8Y9h1fGk1iejrR5y4R7ejO3j//ZPTYcUyaNKnEdGFZa+eF1rksInFKqceAr4EqwI/A+4VVnjmcnJwICAjgyNF/CGx8R+DkJkBym5HYdB4ZU+Fh7BnSfzb2GBUEa5aIsCZdfknAhdjrpwyfPUikQ8us9YmST+PrHAyVqgIQKqf5b997/Lroe/654cWwhx7mnXfeYdKkSTatU0mkJNg56GKjlqIJGVvgiB21TTxheirhSKU0R7q5eLF270nuv/9+/vjjjxLtzrcVJcHWPT09cXFxwSdr5NTWdSeKsvgc6L0jpUFU7U9IBpP7lZ5YDjcwO19Qr6hAxgzoyPm4SHq8Mh1PT0/GjBlTRLW1DWV6JuN//vmHunXrsvGXFbz9/ic8O3o0fTq3zru8Qu6Cyg+3zqyzai0sa3CpUJ3EG/9ZPG7puvWLj652bErDSlUJlezpbl4+xILXRwMwes4m/j2fScvwjhw+fJRNmzZx48YNOnfuTIMGDYrlF8C9MLvrgAED2LdsHX6U5wSJdKMKCqV5cAqZX7nCM1PfolmzZvzxxx80bNiQyMhI3N1zLmpaFJR1W9+9ezetW7dmcaeWTP3zMJ2S3AksV77EeHAaeTgXafmz5RTPqIACn28s0Iy7sow/R0QFEhsXz5MbdvH38WNs3LiR1NRUOnfuTL169Up0m16mBY6IMGPGDMaNG4enZyUahNRn5fJvrSuzEEROYXRhFSYJuHA2JZHY65cZUjGJeOdgPEg0LGexYvaX9H1mBD5txnNu+1QmvjqLFx9txZnyTRny7CdUruxFixAvHFJvsPdUIhnKlS5dutClSxfCwsJIS0sjJSWFlJQUgoODqVatWt6VKgBlvdEHXTD94MGDObj3LzIRelONlq5utGnsXaQrgd9rLOUC10mjMo5UxYlrpHGVFFq2jaBr16506NABV1dXg507OzvTvHnzQnsplHVbz8zMZOrUqbw5cSKezo74pTsyzKWGQeAYBxhbij3JTYCYvuTLMpYEjf6zcbrdqTf4Kuk/XLCnJs5UdijHSYcUHLyq0KVLF7p27UpwcDCpqamkpqaSkpJCaGgolStnn1DXVmgCx4gjR47Qq2cPxr/yAg8PedByOVndTnktqnk33G2XVWFhKb5IL8pubtdN83/18J+cO3GaU2d1i3AG+FYm8mndMb0XZ+DED9mZHMytKh6EeVXj1DutaNyzH2cuxLP1zzNsPunM1t27Ca5RE0dHR04f2sONZOG1Nybx8ssv4+pqvnugwNdWxht9Pampqbz99tt88b8P6Ed17LMW19QETuERTxrlscfJaLyGr0s5tiXe5BxJ/EcKguBiZ4c9inRH8HJ05MuNG2nevLnN63Ov2Ppff/1Fx6YtGFzem+fuDyNoQEfDyCAw75kwFSym+80JIksip6g9NYVBbrM5m15bKpncJoOKlEOhaOThTHj3Wixbc4TD6Ylc8hSu2Nvh5FAOSbjNpbgk4knj7anv8/zzz+PsbNuZozWBk8WtW7cYOnQo5eyFBfNmWfzllNeIpeLsprIVeQUs67ui/t2wgNpdHjfs/3fDAj7+eifN/R0I8NUpcp9AXT6Vg5vg22SwYRkLfXdabApMWLOSmHlfGPLx7dydjS2TiG86nglrVhqGoD/W3p/bKUJCuiOnEysxefJkHnvsMZsFKd8rjf7PP//M8OHD6XjVkUomc+FoFB1Brro5qvRdg0GujrRp7E2t7g3JyMzkh7+O8v6aHXQf+CD/+9//8PPzs1nZ94KtX79+nYEDB5Ly+x6GlPfmsXlPcnxpNFvXnciX6MjNg2G8Pz/nlUbRkx9hZ3yO3mumH7lmPJJt5pJDxJPG4XI3uOFTmSlTpjBw4ECbeS41gYPObd/r/vtp0qwZMz58O08VaRqwe+vMOgCbxcDkl6L29ugFTvy5A4b5cvRz/xj/NT4OdwKzb14+hJtfFLEp0GrCS8iFc3Dr5p386wZz5MGqhq4sgI+/3gmAp4sdnZp4o4Ja8+F3J6lRowaLFy/GxSX73D4Fuq4y3uiLCC91bM6SP4/QP7US6ckld56WewG9oDFeGkMvcAC8IiI4symG/y34lbWpKXz//fdERkbapOyybuuxsbHc37k9PZo1YJirCw52djm8N9ZibReWpTgVS5RGkQO5B0yb83bpBQ5kD1LWpxk5WDetyvn6/oxfvp1GjRoxd+5cHB3vfpLakjAPTrHzxBNPMGDwYD78/LMc4iavId8Abn5RhrlvigvTyfsKm/hzB7Ktoq5fnsLNL4p452DD/TCeT8f4Xp7bPpXY65eRY4fh1k18O3dnqtcxBtw6yAN/LmXiq7MAnbD5+OudeLroTPCxAS3wCfSnUf1qLJs9nHLpFwlvGqQtD2EFa9euZe2J/1j37AMMaRrA0HBfgxdBw3qK4r55RUQA4OrkwJP+/vS94UDvDp359lvrYgPvZUSEwYMHM7ZvB6Y9cT/1B3YGMHhv8kNuQsX4mL4rKjfRYjr0Or/lFTWNPJwZOTgkR51yW5g0Iiow23XuT0hm4fC5HF8azfGl0YZjxgJI79Fp1zCITeMHcS76F3r06EFCQkJhXVoOSs8c5Plk7969nDlzhqdHjUQpZXWAr6nIKc6uqeKI1TH1zJgizv5U9AkzG4Tt5uePe9UQhpBEw+Vr+e7wPt5r3JhbZ+qwe+gzZsvr1EQ3vFYf19M3uAleNcNY8M0y3nl3Gq1bNuHn1b8QElK8QrMk8/HHHzPIyY363bsS57YVQFtYswC0WL6IZoe23fWK620ae+f62Zja9i48Vb4mIx95jPP8KZEAACAASURBVFOnTjFu3DjDpKQa2dm0aRN2dnY80bmlYZ/ee2MaFAuWPTF6cuuWyo/XxlRcmYvPKeleHXP3xhhrBKSxuImICsw26aKLkyPTw5sw9a9DREREsHLlSgID8xaGd0uZFTjp6ekopcjMzDR7PL/CxfiFXpricaydJ8eaWZP1gsvNLwqxkLd+pJUvLgwJbkxsCjT0i2LhZt3MzI92a5ctz01/XuKTn34zfD775xJdfZTihTfext/Ph/bt2hLSoCFdunShQoUK1K9fn65du+ZZ33uF9PR0Ah7U/VryioggbuvWYq5R6WS0d6RN8tm+7xJtGntn66bSd08B2b4ffZqRzr7Mf+NdPvvsMwYOHIifnx8VKlRgwIABeHp62qRepZ30dN1yAiKCU3hfUrevNBzLLejXkkDJ735ru6jyqk9xo58Px5q4o9y6rUw9V3phs3XdiRzLQgDUHdiJVxV8c+wUzZs3p2nTpkRGRuLm5kajRo1o3769Ta7PmDIdg9OtWzc69+jBI088bthXEkcwGXdD2bp+dzMTsqnXKz+TCuqHmPs6ueQ4/6/Fr1A5uAkAK2Z/yePvfg7ousdA50XSl5GAC6mpqWxcv57fd+8iOTGRrb9u5IVRoxg3bpxV11HW4xKio6N5esRwDmzZwPX5Hxn2v/PGOltW755haLiv4f/t+y4VaB6hIFdHHp7QiZPrY4HsAscYY0F6cn0sZ5KS2Bx3lfi0NA5eSiA1qCbbt2/Hy8vyTOzGlGVbFxFatmzJ2Ccf4X6v7N+JPgbE3MvZdL+548Yva0veCr0g0KfNj1ejJGJuZmPTOKaRg0MsBm/rY2zMYbp0hrHgAUhKSWP17oMcOHWBxJRUfvptL5M//YwRI0ZYVXctyBj48ssvWbDoa5auXm3YVxIFTmFzt7Md52f+HuOyTIOk9flUTD7M2T+XUNEnDDe/qGzBzRV9wrIFdZuLQTpx/Dj9ukdx6eJFq6Lyy3KjD5CWlkaNmjX56tsf6Rbmz5U5UwFN4OQXfXCwMQUVOKATSnpvjjmBoxc3+rgcY+K2buXk+lg+8HCl74ODefzxx60qs6zb+tSpU9m5eRM/zpsJYPDi6F+kpi/j3LpejCeyMyY34ZJbvI3+vJI+sio3YbLVjGcnt2H0pvfD1HNjvIwGgGObPjnySN2+kt3HzvD0vNUc+de6WCotyBjdw9AgNDRbN5XpC/Pc9qmG0VL647YK7L2bfGxZD7j7bjVToWKufnqhcvPyIVTyaSomH7aYn2+TwcSfO2AQRO5VQ/BtMtiqoO7AoCBcXV2JjY0t4NWULRYsWEBGRgbVqtfgskMVqjw1nsVTNhHk6qgFG+eC6b2xpbgBDPMPmcZD6b061nQldu/Yno0bNxa4DmWJzMxMPvjgAxo1CMZUHBm/WK3tRrIkPMyJmPzGpBRE1BRWILK5gGI9xvdNf03mhsFb6srauu5EtnthutipNQHYAE1r+3D18iXOnrXtnF1lWuB8/fXX7Nu9h77do7j4X84lCoyFTUnC1iOnTMWNfqVy4y039Gtq5SW69KOt9COvTNfuqph8OJvoMR6KnlvZ5mgbGak1/FkMHjyYp596iq7tWrHkm68BeHhCJ0D30tZETk6MvTVBro7ZuqX05BYcbC16gaQXNfmhVveGnH5jDhs3bszxQr8XsbOz4/vvv2f5LzH0GDKMuGvXc3gErH2hWnppm8vHWKzoX+i5laPPO6/RV/mpZ0HFj7GXauTgEEYODiFoQEfDBndEjulIKePz88JU5OR3VXc7OzsiQ+uwadOmfJ2XZ742za2E0aZNG3bu3Enf3r3p06UrJ/f/kS0eRO81cPOLMpzjQaLNurFyy6eohn9bGg5vTvTYAktCSF+mfot3DibeORhx9jfMr2OcNi/adYjk119/tUmdSzvu7u68//77bN+2jdmfTWf88yPxHP6yIYBVEzm5k5uQseV9O7k+1iB0jP83h77bqlcTH9zc3Pj7779tVo/STKdOnfjrr79o0iqc8D4PceSf40B2z0FEVKBFUaDfr3+Z5yZU9MeN8zJ3jqkXw1yZ1mDaNZTXefkVPcaixhaYK99cGXmJHb1IbZiWYfM2vcyOotJjZ2fHxIkTqVevHn0feJjDf/9B+fLlc32JFsWaUZbytqXwKezZmU2vwVLMjXF6/b6zKVnpnFw4ufgVand53DCZoKXzjYlq15wxzzxLRkYG9vbaxHYA9evXZ+fOnfTs2ZMvv/6Wp959hu293i7uapVIjt9O5XgeS1jou5ZssWCp6aR/eWHcfdWpUyeio6MJCwvL5Yx7B3t7e6ZOnUrdunXp/cgIjmzfQBB5v0j1/D97Zx4eVXX+8c8JWwiEnQSUEMKmUBZF3FgUd6ltbdVWKEVqUVxRWxewijsVrEsRqVSxFalbxQU3/LngFnBn0bAJAUIQkyBrFrJAzu+PmTOcubn3zp3JTDIznM/zzJOZe889y50zM9+85z3v69XK47W82jmkYydWvKSK0MtY/YUiseLoGcS9ihu78Xi5xupY7BXlR3ViZkf+9eGHYV0biqS24OhcdNFFDB16PC+9vKjOuWhZLyBy3xl1XTQsSPqyk24ZsY7T7nU4y3Zu47Q7px/LanFI6Bwz8UXSM/oHlrZU2cKqikNCyMJPO3fSqVMnI24sdOzYkZkzZzLnqflw9MmMm3pG0A91fVF+PcliEVLjsDoBW/1mojVe5XCsHhDaF6ekpITMzPovlyUbEydOpMuR3Xjz3SU0H3Z+0A+4F2dgp9deUZabUOLGip1YCSVe3LbAhxI/dtfqIsROkIQrAlU9+QuXBC196RYdOwdjnV1V1VGf50lvwdG55ZZbGDduHCOHn0xOTl3rRTQsN7q/il6XU91OIkG3dkSKEjd6ygnVZlsqgiw4e0mD1H607R68eylUP5zGGYq2VEALVbaijjUp+Hxdli79nFNOOcXx/OHMKaecQsfOmdwz5Sau6ZMZbDGoh+Os9UfemnMpEckvrwa/mFHLedHEujMr59wBtrumdHTBUysln376KbNnz45qv5KFqVOncsMNN3DCkMF0pO72ZCfsRI7XH/VIBJGXGDqqTH38dpzi1qzaWxkkPiD0PfKydV4vp9fd66LTQwoaICiW0TcluzjllOjGNztsLDgAo0aNYsqUKUz401XskS3ZS1rAiiEqC4KsJ9FcKnKzzKjjduftylv7ZWcxKi1ZEwiYB774MhvfezogeEL5BtktLYXCujzldo0STaGsVW7nP1z2NSNHjgzZr8MRIQSvvPIKz32ygrx+Ixl636Eo0tH+AYfo+qk0FstWFjNu6hnknDug3runFHbiJhw2v5PH7GWbaNOmDd26dat3f5KR888/nz/+8Y9MvGEqzYedH/hR7XXR6XUEi+4/YycirD/ibs64bjj5/jhdq3yC1PZtO+vONWP6R9Su9bhTXJpQOPkr2YkbL1QvWxQkbvIXLuG91dui/p0eNYEjhPhUCHGS9vocIcQGIUS5EOJ/Qoh0//EUIcRzQoidQogbo9W+V6699lr2V1bz8ZLgtb7C5S8ExI76ga+vyImWD4+dRcgN61ZrPbdUOMtx4Yo9O2FkJ96c6nNa3rPWU1tby+fLljWaBScR5npmZiZ33XUXM/4xh5T+w4NEjt2OocbGTiQ11FKYLmaU469Tf7yiAv0Nve/KoOUoJ+vNztzcwEP1Y8HSQrZTZeZ5CG699VbWbSrg61XOjth2u4PsrBxulgqrI3OkvjzWa52eW/sVjuVIX7Zysh5F4nBs11dlrfFqsdGFDfjua01tLVtTquNP4Pgn/VxghHasPfA8cDPQDRDAvf7TZwFrgSzgNCFE6/r2IRxSUlKYOnUqTzz6aGCZprRkDe26DbLdrhyJT431B70hnJX1fsrUbLoNmxLYsg0EIgdbt26ra6PVD+tza5lwnavtdmU98dAMsrO6c9RRR9Wjx+GTaHP997//Pflbt/HlNyuiUp/VqpFfXh14JDpqWz0QSLOgH1N4ETl2AQPdsPrgKJF1ztAM8rs059JLL/VcVzRItHnevHlzbrrpJv7+5LMUNusSOG5nxdFxsngoIeHFWdaLyHGzfjgdd4s9Y33o5+xQ9TgJpHB3V0Ui7oA6wkZvf9aq9Yw862y6dOliWyZSomHBGYHPl6dMO/YrYLmU8jUp5W5gBqCyOAqgif8aATR4gIcxY8awZcsWvvjya+BQigCFl6WhhsTLUo4b4QTRC9UHO4tMuALObTxuPj97SeP1NxbzxLz5/O9///MUxTjKJNRcb9asGTfffDMzH33c1ooTiXVEFzPRtK5YRVK4dY8fnhWwTIU7Nr2s1QHYTqi4WZas4kaJl44jRjhGLLaSc+4Ayg8c4LZ1a7nuuutikqMnBAk1zwEuu+wycnNz2fj9etvYOPqPu5OVxC51gZeYLvqWczfrTDioelSQPlWPimWjjrtFJYbgpTF9p5OivtvG1fW6ZcbOmuMkbgAWfPgV728r5plnnqlXX+yot8CRUk6TUl4G7NQODwL0fxvzgEy/sn8X6AdsBt6VUpbXtw/hor74H3n0SQC6DZsC+ISOcsht7JQO9bUa6ajYM6Ulayjbutg2dYOTH5A656WvdktRThYw/Zzuv+O0zAXw1qJFXPfnKbz55lscccQRrn2KBYk41//0pz/x5YpvWb3ue1L6Dw/yA4nUHycSkeO2BDV+eBZ33Ds6IEzcyto9xg/PCoiSXq2ak3PuAMZNPcO1b07B/azoQsd6v9zqD9ffRmdfZRV/WbOaUePHM2XKlIjriZREnOdpaWlcd911PPvEY0FWHIWb0IhFKgUnK4fVr8drXeqvfr16rcfrsY5lxOieQakS3IhGjBwvy1Q68z/4kruff4f3v/omJkllY7WLqg0QcPaQUlYJIQ4AbaSUZcDFoSoQQkwCJsWof1x66aXcd999rPo2j8GDBpCe0Z89277l6dsnM/mJDwI//vEidKLRDxVQT+WJUujiItQSkm5hibRPobaQ21lx3n/lBW675a/83/+9z7HHHhtRuzGiXnM91vM8LS2N66+/nhn/mMOCubPoOGJEcALIELFgnMgvrw78wHuJE6PO24kC684i6xZta3tu6AkunfqmrCw55w6gl4edU/p5PUO4W71W7Cw1dok4593/LvMqf+D8qy/n0UcfbQwrpRNx/51+zTXX0Lt3by699i9kDTu/jtXAaaeUvhQU6ZbxUG1A8M4iJ4tGOLu53ASJ084mr/V6WZ7T6ws1LusOLoAHZs7n8bwNfLJiVczcDUJacIQQfxVCHLB5POVy2R6gpVZHc3xiarfXjkkpn5BSDpVSDvV6TTi0bNmSv/71r9z7t0d87fkFTY+sToEdSI0pbqLddtnWxUGB9NpVrqXJ1pdtxY2TU7DdeS8+Sl52h7k5Ib+28GVumjKNd99bElNx0xhzPdbzHGDy5Ml8tOwLPlz3Iz8N/nXQUlWsnHidrC1OfjtKAFjFgV4uv7w6IDZ0i8qylcU8O+ODwDKQXod+vbIQqd1Sm9/JCzgCu2EnWLz4HenLUtbIxXbiZndFJU9U/sAFk6+MqbhJ1u/0du3acf311/PwjPsobNbF1ppgXapyeqhykQS8c2rPK7laYD6rtccqPKyv1XKW9bpwxI2X8nbixq4/Tu0/9e5nzM3bSO6q72LqSxm1bOJCiC3AGCnl50KIicCvpJTn+88NBl6SUvaNsO6IMs+Gorq6mqOPPprHH3uQkSNODtphZI3L4mbdiAWqvWhYcMq2Lrb1v3HL2B1Om+HeG6+xcwqrKqjZ9iO/PPMsPv7oIwYOHOi5DZ1oZ1iO1VyP1TwHmD17Nq8seoP/vvSqr605NwV+ZCPdFu0UB8fqh6LHl1EJKHVhZWf1eHbGB7b1XvfmnUHWkGdnHMpdowse3WI07JjMQLsAd9x7KDWLEiDWrN5OFhcn64113LpVSmUGV8dVXdYxT5j1Mn1/91see+yxiMVNNOd6In6nl5WV0adPH+Y9t5D+AweRVVNE9bJFQdnGIbRvjJPPjp2FxSpAlAUkVFlV3q7dCU9dRnOLFcpJPFjHpNp1EymhLC5u7SnsAvi51adYsWkbv5r2OF/kraZ3794hy9vR2NnEXwNGCiFG+r3v/wY8F6O2IqZ58+bce++9TLtzOlLKIFFjjejrNUCfE+HuxoqWuAE42P3COrmgrP43kaCPJ9yt5F62oGe1SGP6HXdyy803RyxuGoCEmOtXXHEFBZs2siz3k8Ax5bcSaa4qpx1UbmLJ2k5+eXWQ+FA4LRvpYsGay2nB0kIWLC2sY/WxLnnpokjhtH3b6bhT0EPF5nfyAtu+dWFkLaN446VlrG3RnAceeCCelqV0EmKet27dmttuu42/T3dOURIqFUE4y0RueKlDiQR9G7i6zk7cWMs7RWXOXbyJ+RPnBY7bWbO8iBEvKAdjJSTdhJGUkj8/uIC/zXo0YnETDjEROFLKncAE4BmgECgB7o9FW/Vl7NixVNcc5I033wk6np7R3zVtgTVisRd00eIlO3c00jZE6qzspV03fx03q5DXMX2Wm8ua777jhhtu8FS+MUiUua7E/EPT76ZzdUnQD7cSOdHEKfeSElNquUnf8aQv6dgJAvCJk2UriwPiQC1VWetyI7+82jbRpW610c+7RR62OkUvW1kceGx+J49nZ3xQR3TpbH4nj//e/z53fLuO6dOn06pVq5D9bwwSZZ4DTJo0icLN+Xyx9ND7qTvmKkIJBOsxp9d2P+huu5Wsu4zsAgyqenXBoC8fhQq859Y3iI64sYoZN2Gjzj016wUqOndl4sSJ9W7fC1FzMpZS9rC8fgN4I1r1x4qUlBRmzpzJ1VddyZlnnEpaWnbQUpWoLHBMShmO+HDzMXFa4onGslikffRKNIIh2u2c2lBcyp+vupJZs2aTmhp+krlYkqhzfezYsTz00EM89/JrjLvoN2BZhhk/PMvWmhIpdssxm9/J8wkSrdywYzKDBIXd8lQ47eGyjBRNQokpdS/13Vr6vVBLaV+xh97DhjJ+/PjYdTYCEnWeN2/enOnTpzPjthsZ8l4uPW0cjnXsrDn6co/6qwfM0608ynm4etmiOs919C3VivyFS+ok1dTLu/m05C9cUqefTkTLWmOHvvzntjT20KX/ZEbpVt5c8h5NmzZMlqio+eDEklj6JijGjh1Ll4z2TL93GnBoiWrPtm/JGjKm3pm3w8rRZLkm2r4/blm/w20rUhFm3aquj7W8vILRv7iI8399AdOmTQu77jptRdkHJ1Y0xDz/+uuvOe+883j308/p1DmDTqteC4qeC9QROZFk01ZbtxVW/xarBUVZbHR/HF3oWH12rOhtqSUhpz7rfdP9ZEJht7Rlxc4PyG47+rKVxWwsr2ID5Wzukc7nn38elUSDZq77kFIyevRoBh1/Mn+7+vcAtr44OlYfFms5a0Rgq8BxwsmPRhcCf7noMYBAXBunnFp2O7GUv4/deCLd+u3V/8aL9Sp/4RLefXsD9+0r4N7ZD3PttddG1Ccdr/P8sEq26casWbMYMOBnXHTB+Rx77CBadx/NtmUzWfnWq/y0djm9z/pjkKNu4fIXWPnWq/xy2ouexI/XtAdOMWX083ouJ7fr3V5b+xZOv9zi3uhtOR2Duk7c6vz67zdwymk/5+KLx3D77be79skQPkOHDuWSSy7hzltvYc68p4POqZ1F1u3OSgR8ffvcsC08dss7ainq69vn2i5FqWvGTYV7ph1aJnZaRrM69Kqy+Za+KqGhj8uLsImU8cOzAstVVqfr/PJqlvAT+zJas+TNN0228CgjhOBf//oXxw4Zwjnn/ZJTs9OBulYRNxGgrDY6XpJmOmEnBpRYeXghQT4zikjTKUQjpo1XnMSOev3fN1bzSHkh1934l6iIm3AwAsdPRkYG9903nb9Ou4fFby4EIGvIGFa+9Sq5H38TKLdtUwEfLC9mV0UtAC+dcwp/vuQkjpn4Yp063awbTk7LVrFht0Xb7Xpr217i2tjV51Z3qEjP1i3nTvXY1TX/33O59trJ3H9/XC7vJwV33303ffr0YfnXX3Hu4OF0JNiCocSNLk5S+g/nhFeGk/PEzECepHCx7lSyLtUoK41eTrd+KAFm3X2krEHWWDq61ceadiFURm8rdj47dthZouxEXDkH+Kldc7Zt2hS3fjeJTnZ2NlNuuYUH7ruLU598qM6uJCch0O/hWZzx3A88Pfs4Jnz8L/IXLmHOC4fS+IQrcqztOuE1IJ+OEhG6701DiJtQFh7dUraofCf3zZzBLbfcEvN+WTECR6OiooIO7dsHXsvUbEZdcSfTrria/IVfAgSEzfHZzfiqoCZQdsKp2Uy//+o6y1luWbadhICXyMFusWUiWQ4LVc4tfUKoMnZ9cmr73Y+Ws2BBg+frO6xo2bIlO3fupEPHjpQ06wyDf00nfMLCKh50sVG7ZikdR4yg86QpDF2zlJ25uUEWFp1lK4vJOXdAHQuJqk9fphp2TGbAbwaw3SWl+mUVXtZyCqeAe3o/vKLvgtKXoJzIL68GzXJjtTzll1fzA5WceeaZRtzEmIqKCrq1TQ1EN84adj69/Of0ZR1dFJzx3A989t9nOOq/z3DyHy7h9zf8lmu4ytaio7AKGLut08p6pLdlJ3z0JahQW7BjIWZ0p2YvAf+sTtDWa/Z1bcNFF10U5V56w/jgaBQWFnLM4MEs//oTOnfqGDj+5m0n8VLuj57rmbNgbiDJpRP18XtR13vJmeUmfMKNcxNpn734EqkyZ44YwXML/svgwYM91x8K45dQl0svvZT2GV25ceptAGTU7KB2zdKI6rr+tNvqHFMB9ZzQY/B42cFlJ2wUX98+1zW+jCLSJSnd90aNyRoTx8nhWB+b6tc90xazkXI6jzmT559/Puz+uGHmejBr1qzhtFNP4YOvvqNVa18OUGtsHLugdUrkALTrMYDt//wl1csWMX/ivIDIsfrLhMIumq8dTv48TlagcOPQuGF3T8KNaqxfl7t4E/e3qSA3N5fu3bvXq286xgcnArKyshgzdiyTr7+Zfz/5GGlpvh/dUVfcyTHnfUu7boMAmHbF1QFLjh3XjL+S6fdfHchxBfZLQpHE0lHY+dSoJalwrCpe0jRE0ldr3/TXTv5Bi4u2UNkkhYqKxk2PcThw++23M/T4Exg28hROHj4yojpS+g8HYHbxR0zOHBV0Lr+8mmdnfBAU+E5hjQvjtKVc4SRu7KIfuzkPR+pvo9IzWMVKOAESraKrCcLM8wagf//+nHHW2dw55UamP/woLVq0CJxTDrvKunPi5U+y5777mT33Tp6ecBx/9Jf7/YgcCpt1gFOvYMJTBIkccBcuTuLAq9iBYNESjnUnWnix5NgJI0VaWlqjzXUjcCw8+OCDXHHFFZx+9q947pl59OzZg9bdRwcsMi8UlXDif75gQPsMBrQ4JAy2LZvJlUVHM7hnNtuuP5/bbv0n0+8nSORAaP+UcKwqOvUN1hduIMNQ/XUTWU6vB7TPoHlqqvnibwB69erFiy88z7g//IHJf7mZP026isz+wyO24sz6cHodS05+eXXA0fcOh3QHyvIRSRwePTqwXURir4LGLm2CvuylBJhuJXJDLY/pViorTY3AaTD+9a9/MWHCBMb95jxmz5sPRxxJlo2V5N6pF/Jc7hDAJ3bunXoh47e9RPPuR/JU/i6ey93M0xOuYMToJax6YU1QYD6n3VFO2JUJJ1FluEktwyFUtGW3cnokZ0VjCpxYRTJOWFq2bMn8+fOZNOkqRp1xHn9/8FFKqprU+VGe+tYijn7kUY44bxStzvs5R03/mI0FBbz8oS9S7PyPC3jo3rl16nezkoQSKW4OwU7B9SIVTF7Qgx1aH5HW2zG9jfnibyDOPvtsvvj8c1556UUu+sU5fLKhJGCViTZ2osBN3Kgoy6GyclvPW8WNbvmx64ObWNEjPVt3QTn54FjFDRyK1qweYAROQ5Kens7ChQu56De/5henDeffc+ewWXQKnM+qKSKrpoiJ3at5esJxnN2rA/1GDGHajJcZveVQ2qzfj8ghq6aIXhedzjVj+rNqbyWr9lZ6zjcVSviEWoJyW7ryIngiWWryKm7crmnZsqUROPGEEIJrr72Wr79ZzjcrV3Pm8BF8+tHH7CWN0V16MKB9BoN7ZtM7O3irc+9s37Fn/s8ncm6cdmUgnk64CSqdCOULE8paokcq1vtk57QcSnTVN8iftd2sFmmk1BygWbNm9a7X4I2ePXvyzZdf8MdLxjP2N79g6t1/oyL7GFL6Dw962FG7ZmnA4pPSfziziz9y9EVZsLSQZ2d8EIhEbEfOuQMYet+VIUWNXl6h0iIorELHKb2DcoZ2a1O33Fivv+Pe0UG5raw4jfUg0szzBiQlJYVbb72Vz5Yt47OP3uf8M09l0coCCpt1CXoosfP0hOOCrr/ixGwmdq+msFkXik+9gn4Pzwr44FhFjjUCsR0qmnG0LDGhlqjCWRLTr1HYJf604iT0qqqqGm2uGydjD7z++utcM/lahp5wIrfeMY0si7AZ98rzbCwo4K6xYxjQPoOpby3ihaHNefr2yXxVUBPSH8cOr07ECqeIwE5LWV4dhsMRU5Fg9RnK6TOYb75ZTrdu3epdt8I4XnqjpKSEW265hSXvv8fUu6bzy99cSEqK738gNydkXQDVrllq63Ss0AWQHgjPzs/GKli8LjnpcXuc8CKirBGYQ9VjV0bfTq8n47x56WqGXPN7HnvssZD9CAcz10MjpeTFF1/khj//hVPPOIs/T72NzC5dA+ezaooCz4+4+g36jRjC4h5fk3bhTWz+qZR383dxdq8OZNUUsfYv13tO4GmXnNIJq9+Nm5Umlv43TlgFk3IoXrW3kmvG9A+c+/5/HzD8zU8oKioiPT09au03drLNpOJXv/oV69asZWC/fpx76iim3PBnfti2LXD+D8NOBuCySF3xWQAAIABJREFUmTOZ+tYiNhYUMPTlDbzz64fokJbCbbf+E1FZEHh4zcdkXeoJJYys1hg7B2TrcbvXscLJeqTYWFJGTc0BjjzyyAbpjyGYjIwMnn76af773PM8M28uZ408ibdef43a2lpKmnV2tObseGJm4HlK/+HM+nB6nRxNCt0pV5VxciLWc1NFMyDfspXF3DNtccjIxE7ixm35zMl5Wg+emHPuAHZSHdWdggbvCCEYM2YM69etpXvXDM4deSL33j6VHcW+90s5HQPs2ZLH2tzlLOj2Ww78uAGAs3t1CJzX80J5WaoKJW5U0kq38tYybsyfOM82gGB9cbLkKKuWYmtZOV27do2quAkHY8EJk59++omHHnqIJ554gl9deCGT//JnDnRsx0lTb0R+v9ZXqHU6lJVC63QuKvocgA5pKdw47UpfHWuXc+y4B0JGQLbuctJx2olkLWsXdydSfxtr3+pbh7Wuhf+3mKdnzeab3MgcXZ0w/9WGj5SSxYsXc8cdd7C/qpobp97G2aPPQwhha82xCp9af5wcsM8tpVszrDuf7LATOHbxaeyiGrsFJvSynd1uB5UdVsGkp5mw+vA8UF7Am59/woknnujYdiSYuR4+RUVFzJw5k2eeeYYLxoxj0rU30Klz58D5Ey9/EoAvnrw8yLqjsKZMsFpyrGLAi8ix4rRLyS6IoBI01nQTkQQStMNu6c2am0tx3fiH2XXuSbzyyitRaVthLDgxolOnTtx///2sW7eOzu3aceaw4exe+z3zpkzhtIlXIPr28xVsnc5pF/+e6fdfDfgCBN526z+57dZ/8sgzn/PGvRcHJfW0omcddzpvZ4lxEzdu9dkRTiDASMpYUz6Ub1jHsGOHeO6fIXYIIfj5z3/OV199xf3T7+PhmX/jz9dcARCw5ujYCZ7Ok6bQccQIxk09w9aaY7WChGulUdfqlhEnVPvKZ+aOe0cHoiSHsuRYxYkV5VukyqryViuW6t+G8irKWzbhZz/7WcgxGmJPly5deOSRR/juu+9ITZGcPXwoWzblB85/8eTljuIGoPjUKwLPlYiwy1SuCGWBsfrmNB92vqP/i1M9Kkpzr4tOZ8JTlzFidE9PlhwlXuxEjL5LytoXu+W5/IVL2F5bzYAB3nzqYoGx4NSTm266iW/XrObBRx+lc0YGhVUVnHjJxT4Ljp+Klx/nknNOCbru+OxmTH7iA1crjlPcm3CiFkcS4diuTf1YpPXo7CWNwirf8QH+0BRXXjuFk08+mauuuiqs+kNh/qutP8XFxfTtexSz5j7JmeeMtrXkuDkj78zNrWPJsea8UlgTc6pjVgH07IwPXK0vYL+8pJ9bsLSwTjoIt+ud6lHoFiWrdUlZkXZRzRfdm1FQ4PwPTqSYuV5/Jk6cyI49+7h7xoO0a98hIGyUE7LuD/PU1kMCdvy2l4Li1OiWFKclnXD9cSLFLmlnNOuz1qmsWW+P7MO4ceMYM2ZMvdqzYiw4DcQdd9zBwH79GXXiScydPZtuzVuy/cU3EH37BR5/Xbebha1/xsIuJ/HoxzsAgtI8KJy2WruVC8efxykthJcdUzpuO6689qWwqoK83SW+RxW8/cnXvP/++5x/fuziOxgiJzMzk//970Wm33k74y48n4Itm+uU0XdVWbETCrrY0XcoKSETKkifk7hRdT0744OAqPDiVGy1zrhtIVdtWIMWQt1t7+r8+OFZSCSfsIsrr7wyZH8MjcMDDzxAt8zOnDVsKM8/8x/AJ2T+OP8bCpt1CRIlZ/fqwOQr72bylXezoNtvgUOCRLfmeNmi7YSX3VbzJ87zlAHcLQt4KNyu0R2olcVpZU0peXl5nHPOOWG3FS2MBSdKfP/99wwfPow33v+A7JwePLByGS9/+Al3jR3D6C49OPGRGRR+vhTKSvnilbf5+9nZdaw4bqImXKdk63VerTBeIiGHsia5+QfZ9SWvCp688x765vTk5ptvDjHK8DH/1UaPmpoaJl0zmeqqKp7++52edlaBzxHZzhdHt54o7HxynJavrDud9Bg0XhOC3nHv6CBfm5xzBwRFYdaxihndz0Z/7kRp7QH+mbaPkpKSwA61aGLmevT47rvvOPnkYXy6Io927TsE7Z5SFDbrwh/nf8Pa3OWBZSw7n5hYWnGUtQScd3LlLt4UEFx2O6DCTc3ghgr0d/nLS7nsnw9x2WXR8f3RaTALjhBighBiixCiTAjxsRDiKP/xc4QQG4QQ5UKI/wkh0v3HU4QQzwkhdgohkiarYt++fek3YCCb8jcCcMsxw7hr7Bj+u+wzTnxkBr2zs3lq1mxumP432n3j23XyVUENl5xzCiufuhhwtoyAvXhx87nRyzidc8KrJcZp+StUsL/FRVtYXLSFdpVreeyS3gyUBfx3yfv07t3bcx8bAzPXoVmzZvzh4t+yKX+jrS+Owip8Ok+awripZzB+eFaQqFFB8+x8W+zi2lixS9PgNY6Olfzy6sAOKxWcT0fPPaUe+rV2KJGkfHNOf2A8vbKzYiJuooWZ5z4GDhxITu8+AX+cid2rg5argEDMnC+evNy2Dl0shIqN44bXeDm5izcx54U1dR52/cpfuIT5E+cx54U1nmL3uGH1y+n38CyaDenb6N/p9fqUCSH6AHOAq4DOwDvAC0KI9sDzwM1AN0AA9/ovOwtYC2QBpwkhWtenD/HEwP79yd/oEzjKv0QFBBzcM5sB7TMY2OUIHk87h0c/3sHx2b7gR48883lA5ICzsHF7ri9ZWXGyrNhRn2jIoRCVBZRtXczoLj246/kXSLvwKt759UOkXXgVlYXb6NnTPY5EY2Lm+iH69u3LZs0JU2HdRm4VOR1HjGDofc5LMyrQn44ewM9tl1Uk9GrVnPHDs4KWsqxCxc0K5GUrfJ1lrx9L6NGuZX26HVPMPA8mp1cvNvv/abWiixwdL0H8Ignyp9drvdYpyznA4LapQdYbXfis2lvJ4LapAQtQOL45do7UKr8XwOathY3+nV7ffyNOBz6UUi6WUu4HHgQGA78ClkspX5NS7gZmAMrLSABN8OXBEkB82ynDoG/fvmza6Pviz2qRxoD2GYAvTs4txwwjb3cJ3xVt5x+3/ZUjzhvF5Cc+YPr9V/PbEV155JnPA7uq3HxwrPFwwknF4LYs5YSdv44bdueV2Hvj3ou5ZvyVXHdqZ+4a65sOM847H8oqaN+iJb169Qo5jkbEzHU/Rx55JHv37KG8rMzVigOEdEK2+uFAsJDRY+FYz4XCbvnLSs65Axx9eZQA0vtqFUDDjslkdvFHdaIZ25WtlZK/z1zAcef82usQGgMzzzWGDPyZo8DRhY2KgKzH0IG60X29bPMOF5U6AtyFjio7uG1q4PXgtqmBOD4QbHGyCph+D8+i38OzgupbtbeSOS+sCfIBql62iCXzHqH6QG2jxzSrr8B5DZisvT4OqAAGASu043lApl/Zvwv0AzYD70opy+0qFkJMEkJ8LYT4up59bDA6d+5MVVmZ5/LP72nJT2uXA/DbEV3Zk9ovIAYUkWzBdstZZVfOS1Rjt7qswQvtyorKAl7K/THwevHFx3NR2Wq+2LKRI3ZVMnfuXFq3jut//GIy1xNxnqekpNCpY0f27NkddFxP2+CGU/qCZSuLXaMPh4PaNu6WRkEJEN2Z2Mkqs2xlcZ1zaknLDX3b+E3LVrPzYA3XX399WGNpYMx3ukbnzp2prQwejtpN5YYSOk75qiIRNXbby5W1RAUcDIUSIYPbpnLNmP6errEKHbvt72qM+QuX8PmCtxl//79ZsGABTZo0CVl/LKlXNnEpZeDTLYS4EJgLTMWn+Au0clVCiANAGyllGXCxtS6bup8AnvDXnRD/EbRq1YryctvPNoVVFb4M5O0z+Id2/JFnfIEA5yyYy0HLNU5LTtYyTsfcAgU6HQuXvaTR1mWre7vKtbQDSkvqrgNfOLwLt153I7+74AJ+97vf1bsvsSRWcz0R5zn45nqFw1wHn8hRgscqfEL5q7jtnlIWHSenYzfHZN0RWHHPtMX2/dCC+y1bWRyU+Vwnv7yayZmjbPuil/9mzx7WilJWF2ymRYsWtuXjAfOdHoz+ne5F2FjP69YSK9b0C6EiGFutPXoSzupli3yWHK28LkTmT5wXsO5Y++S0s8oanXntXw4Jc5WWQWfV3koOvp3PP8oLueaOvzbq7ilFSAuOEOKvQogDNo+n/Oc7CSEWAbOAiVLKx4A9QEutjub4xNRuuzaShVatWlFWVhYQFVkt0hjb75jAUlVWC5+guGH63xB9+zGgfQa/HeHLgZKe0T+ojELfCh6JL4yXxJ5e6w83SKC1vj9fclLg+aMf7+CNDuM4QggeeOABz/XGEjPXvdO6desgMa/8b9RWcbvdVU47roYdkxlYJlKRiPWHV+zKqgB844dnMeyYTMYPz3Ld5aQ7F1uDB9otOzmh2li2spiPVvzIPd+v597+/cjKCr1sFmvMPPeO+k7XCSVyqpctCuymUiJAWUqsAfysx0LhVNYahE8P8KdQwka3KukCRl8+s9uV5Ra8UNW/rrskVaRw++23ex5TLAkpcKSUf5NSNrV5TBRCtAJygZ3A0VLK1/2XrQP0rQz9gA3+Nd2kRX3p60LAKlgAVm3y/SN00tQb6XHH5wGRYyUa2byj5SDsFAnZS4Z0Zb3pfdYfmbNgLvM/LuCBlct4963F/PkvN8dNVmUz173TunVrKip8AqekWecQpYOxCgynXFQKfQnJzuHY7VolaqzH3ERONNB3Wv1YW0XqwRSuz/supm16xcxz7+hCPpSwUSgRkr9wSVBupnAceMNdwnKKdGxduhrcNjVI6Oio7eYq7YIXQaPqUr4839YeZNY7i+Jml2B9ezEO+FFK+Se/mVLxGjBSCDHS733/N+C5erYV95SWltKype+fHF1YZLVII6tFWpB/jfx+LfL7tZx4ycWMuuJOSkvWuAqa+qRYcPOr8Rrp2M6/JtTWdVFZQGnJGvZs+5bW3UeTntGf1t1Hs5c0bjlmGB3K9tO/f/86dcQpZq5rlJaWkppadzeQU0JOHWt8mWdnfBDwvdn8Tl7Q0pJ+HMLfSTX0viuDto+r56EsMV4tNXDIb8dJNA2Zczenj4vvJVgNM8819O/0cLGKjvyFS4KEi9PzcFFLXXbWHbVryorT0pkXnxy7utR163aUxtV3en0FziDgVKupE2gNTACeAQqBEuD+erYV9+Tn55OTHabXeFkpbzY/LvDDH6mvjJ04su6AspZzssY4ta0C/4Va9mpLBWVbF1NasoaN7z1dp57tP/zAXydfTWlpaaPHSQgDM9f9SCl9c13b9Wa14riJHLut13osHN1i45a5W2EX+RiCxZB+fSjHYH37uFs0Y6dr1d+ctGZsoIx77rmHkSNHhlVPI2LmuUZ+fj6du2V7tt5Yd1FZ8z95iTXjtoXczdHYicFtU213V6nt49Y+ecmMrguhEaN7sq2sgls/W0WbNm3o0qWLy5UNS70EjpTyWillio2ps0BK+YaUMkdK2VpKeamUsipanY5XNm7cSE5OtuNuImXJefOC8yl/622eeuppACZePzmkYFDiIlRaBGsUYq+BAO0IN0FnWypoV7mWlU9dzJ5t35Ke0Z9jJr5I1pAxtKtcS2nJGrZt+4Gzh48gs2sWq1evpnnz2C4VRAsz1w+xc+dOECm0b98h6HhJs86BBwSLHGXZcdolZbXq6EtRTr44oaw5egwdIJC+wc46o/vmqL4ofxyv1p5xU88I+BLll1fzanUJpcf3ZP78+Vx+uX0guHjDzPNgVuStJbtHju25wmZdggSN/lzlolLCwhpnRt9SrVtg3MRKuFYe1caI0T0DS2UjRvcM+OZY/Wt0rJYc5bejzulLX/l7Sxnz7jKOv3QSK1asQIj4CaRdr11UhmDWr8tj7MUXeUqL8OZtJ/FT4U9AXygrZXHRFkZ36RFUJpQ1x06wOImYUL48TnW5iRzdElRYVUHbFlC4/AWOHedzGpap2WzeVcmXn23ix+3baUk1yz59njFjxzJjxgzH/hjim40bN9IjRACvkmadyajZEeR4DPbWGz3ar0qXsPmdPFsB45Z8Uz9vh9oNpXxylmk7pVT7+UsLA30cPzzLc7qHDeVVbM04khX7UihuXsGO6oOsayXY+PbbdOrUyVMdhvijYPMmzr+o7vKiVdj40jW8wfZ//jJknV58caw7rOzOW9F9f/S2nDKAq7Lq+JwX1gT5DNmxam8l/SqrWLs7lR9ateCn3k14/L0VTJ5yC3feeWfIcTU0RuBEkfxNW+jZs0ed43Yi55fTXmT2JPdMyKHwsjvKumXcLkGnW1BBOwK+RC20ulqkARWkD7ubz774mFdff4+PP/6YLVu2cPLJJweC+GV2Oyom+aYMDcfGjRvpkRN6rV5ZcjL8lhynXVTLVhbX2UVltb5YcTtnt6ykhIruJ2MX4O8O/1LWPdMWBy1l6aJIsba8krWU0eHnJ7N06VJy//EcJ510El0nXkRX4E9Dhxpxk+AUbN5Etoe5/vSE43h3RA7Vy16yFSa6RcR6Xl92sm4bD2eHlVX0KOHi5Hys0GPjOPED+znyit/wySef8MKH3zCipiXZ2dnIE7oyalhTJk+e7HhtY2IETpSora1ly5YCcnpkUxuibF4VILIZcepxiLxuXD9hfB3rTbjY+dN4TbsQ7tKV2hlmbePbzSU89sgjfPT++1x33XXMmzePIUOG0LSpmWbJxMaNG+nhYLaPhHFTz6gTv2bzO3m2aRvscPOT0WPYqESabnWo83fcO5pnZ3xAr1bNGTf1DDpPmgLACcCVmaewlf2sz2rJyJGjueCCC/jPf/5DRkaG5zEb4p+Kigp2795Fl65HQO0OwD0Wztm9OtC8u7Mg0dMYKOyEjXod6ZJUOLu1VPn8hUuY8NRlQf2Q8jpeeWs9z5YVc6BHBqf17cukSZMYPHhwowfw84r55YkShYWFtGvXjvT01uy1nLOKBSUQ7lr4JWWLX4xKwL1AP6oqggRINLEKmr2ksWH9eubOfozPPv2UyspKLr74YlavXk3btm2j2rYhfli/fj0nnRq+9dHO/6ZXq+Z1lqOU2AgnB5WyrKglJ33nlJ5x3IrKIu7GszM+4HcHDzL/y9UsKW/G1612MWTIEObffTennXZayL4ZEpPvv/+eHjk9fT/mtYeWpXSRY3UqVqJE979R5C9cQj+HwH5esRMxeqA/L9cqrP5A+QuX0AtYuekH/pW3iyVL85BtJeOvvY7bb7+dVq1ahd3fxsYInCixfv16+vSum0vJMTbMsjvZVVEbdXGTt7sE2mfQ1iZYqtXXpj6JNVsfLOXBfz7NnEf+wY033sjtU6fSr1+/uHIwM8SG9evX84fLrgr7Oqs/ix4ML8cvZnRrjFWYuEUwdsNtB5a1T/naUpZyHt5NNX+/az7Hnj2KKVNuYMSIEaSnp4fdD0NisX79enJ69QGChYyTBSerpohqgoWEvoUafNGA+z08q464sVuOslueUtYW67WhsF5jt0vq47fzufXVL/myTQq33nort912G3369Eno73QjcKLEunXrOKqv9y3PP61dHpSewWlJKRKy/P4wofCSXdyuXxU/buLCP15Bs+Yt+fLLLxs9Y6yh4aitrWX9+vX06t3HU/mMmh2Ovjfjpp4REDQq4jDU3VGlYydylIAJZYnR2fxOnqsDsRI3eezjG/Yy61+Pc/nllyf0l70hPNatW0evPn2DjlnFjZMlBw75tFgtK3rKA6/LSbqI0R2HvaKC96nn1mOvvbWOJ8u387OzT2PFvHmNniQzWsRHuMEkYP369WT1OdpzzJpjJr7Iwe4XBo7VR9zoqSFGd+kRdsJMu23n1uSZ6nmTsh1c+LtLOOPMc/jwww+NuDnM2LZtG23btiW9TZuwrnv0F3fXOab7vYybeoajsHGLb6Ne55w7wPF6q4+Ol2UpgHWU8h2lrNm0kUmTJhlxc5ixfv16empxutxi4ejnQgmPcH1kdD8dPblmqHg64LPcqFg8dpGJcxdv4v/e2sBj5du4/oHpvP3220kjbsAInKjxbV4evS1q34m8KnihqKRO5nCdwqqKwPlwMorX1+9GVBY4njt48CCXXnY1xw09gXvuuSduwnEbGo7169fTo5d3S2VJs86k9B9uu2PJGtjPTqQ4ORB7jWisW4bC4Qf28yV7+HJdHjk50XOoNiQOa79bFbDgZNUU2VppVCwc9dCXlVSsGTshYrdt22mpySkhpxUnweMWnfiAlDxcWsj4P1/HjTfemHQi3ixRRYnCrVvpntMjqktN4N+S7XcaVj42KnknBOe68ipuVNyarBZ149/I1OxAioXW3UcHXfP8U49RVl7F448/nnQfBIM3Nm/eTPfs6Pzg55dXg2ZJsfOVcfOfUegWHj2Ojp2Vxov15iCS9/mJxR9+wFFHHRWyfUNysnnbdrIimOt2QsPLDqdQW8KdxI2TsHETPMqS827VTo77xVnMnDnTte1ExQicKCClZEdJMX0y3c32SvxktUhjYLv9yBbU2XGlULmr7JJ1uqEsMDI1O6zrdPak9qNt97rXL136BZMmTUqY6MOG6FNUVERmF2cfGStOPji6Ey/Y+88ocePFWqMsPSpYoBuhIhPvopo0mjBq1KiQ7RqSk6qqKirKy2nXvj1g72MDwUtT1csW4T2DWTDhBvXTdz6Fwi3twsaD+3noqqsSZtt3uBiBEwXKysoQQtC6dehtdMpisuLZW+jUbwjdhk2pY/FRwiZLs9wolPXGKnzUDillgQnVB98uK+f4N9YdV22pYNPmLcZcf5hTVFTEET3q7hYMhXWpadgxmQxzKOvFauN2TTjOxnbs4wDp5qvxsKa4uJhOnTPCXoZ32opth9cgfnYxcbz64FixLlftOFiT1N/pxokiChQVFZHpD/LltDyliwVRWcC2TQWkD7vbVtyov7ofjhWrf45efyiRk1fl3k+nPFcnnnAcn376qWO9huSnqKiIzhneLThwKCeVnojSDqekmk5bw+2cjb2gZ/+260smLSjrmEZtbaiQnYZkpaioiE5a4MasmqKQCTetCSvdCJVM08vWb6/OysoXyK5PPZumJvV3uhE4UaCoqIjMzM4hy4nKgoB/yy+nvegqYBR5u0uCnquHXqdbe0BQ0k31161dvU79eVpaGjU1Na79NSQ3RUVFZGR6EzhqeWrHEzODUiXowfj0gHxuhBI5urgZdkxm0EOhL2Ppx60ipymCfTt3eRqjITkJV8irQHv6cpBVgChR42a5Cceqo7djbcurdac5KUn9nW4EThR4/bWXGDxogKtVRBcKe7Z9C8CAFnWXmvSlKYVV1KhjdigR5UZWizQG2AQCDPQvtV/gue7L813eGgYPHuxatyF5KS4uZs3adZ52C3Za9Zpr7qlQWLOIu1ln9OUvtWXcyRqkoyf51NlJDR1pbnYJHsa8+Orr/GzgIE9lq5ctcnUs1st5wS6ruP7aKm7snuvH7I4ri87edJL6O90sNNeTPXv28O///JdPP1pse74tFZRtPXRu43tPM3/hl9w4DboNmxKwpNRJr+B3MlYMaJ8RlsNxacka9mz7lnbdBtFW2w0VaqeVqCyA1H5BPjiisoD9ZLJixSqOPfZYz30wJBcPP/wwv/nt7+jQ0TmBpLLa7MzNpfOkKbYiR88JZZdGwetSkyLn3AHszM0NKYL0dA7W4IC603N1sxp6SefEg4bkZvv27bz12su8/9lyINiRWE/ToASLk8NvuPFuvBLubiprX1S50uoaNu0rY9Agb0IuETECp57MmTOHc889k/Y9jq5zrrCqgnaygI3vPQ3AseMe4JiJL9Kp30xWvvUq7boNgsxg8SEqCwJWk6wWaWR16REkdOwEitVio8TNT2uX+9pwKGdFpmYjU7ODLE6lJWtolXUuD97/ICedPIxu3bqFuCOGZGT37t3MmzePxR/5BEtGzY5AtnCFdceU/lwtAylx4VXE6MLFScQ41aVbdtT2cTsWLC0M+OOsKC8nt2Yvn3+7wlP/DMnHww8/zG9+N5aOlkzwTjuprDmd9GNeiSQvVThYxU+tlNz25tdcMGYsbcIM2plIGIFTT95++21uveW6oGNBVhl/vrVtmwrISe1HYVUFA4ZNoV23QezZ9i0Duo92XNrS61lctIU8fJacgfKQUNGXkFQ9+hbv9Iz+SK2svo1cFzylJWtIzzhUn/rbpHMGf7r8Wr7fsJnXXnstnFtjSCJyc3MZMmQIR3bLshU34AvqZ7XtqMzgut+NLkisqRfcHIfDtezoKGGlW3LU3/HDs1i2spiPyvfydQY8cMcsBg4cGHFbhsTm7bffZsbsuXUsN1asu5u8iBp1Tbi+NpE4HecvXGJr1SmrqeHKRZ/T6viB/P3vf/fUj0TFCJx60qlTJ4pL60Y/UEkv2wGd+g2pcz49o3/gub4UFPir+cEAfFe0nVWbfOefvWAspcvupF23QaRnHPKZCVh6WqTRTqvfDtVW4fIXAAKWHquV5857/s3+ygMsXbqUtLToBTA0JBadOnVi3759ZNTsqHNOHbMuRynhYk2YaVcmFlitNnbiRgmfN5dv44uOB3l14auMHDkyZn0yxD+dOnUibXcB0LXOOevylBWvIkehlrysYsnOB8fapi5+rIEE3Zar/vL6lwy8+Hz+/e9/J31MMyNw6knXrl0pLj7kNBnI6G2DOjew3X5WPHsLvc/6Y+CcbllR/i/WVIAfffoJcvs2Cs87nx7dBvmsM/4lJasVyGeBWRN4rfvUlJb4jitnZ/VciS5lvVmx4lteWriI1atXG3FzmNO1a1d+/PFHatcsDWz7Dgc764t1+cmJUP41dqjlKSeH5nFTz6DjiBE8+ou7WbqiiBWnHMXNp51mxI3BN9eLDwl5p6UpKyoBpltqBTsRo/v16Met6CLHTtyoPuio/qhyXxTv5IcubXn38ceTXtx+znURAAAgAElEQVQACCll6FKNjBAi/jtpiGcKpJQ9GrsToTDz3BAFzFw3HA54mucJIXCihRDiaynl0MbuRzRIprFA8o2nMUm2e5lM40mmscQDyXQ/k2ksEB/jMYEeDAaDwWAwJB1G4BgMBoPBYEg6DjeB80RjdyCKJNNYIPnG05gk271MpvEk01jigWS6n8k0FoiD8RxWPjgGg8FgMBgODw43C47BYDAYDIbDACNwDAaDwWAwJB1G4BgMBoPBYEg6El7gCCEmCCG2CCHKhBAfCyGO8h+/WQixzX/8IyHE0do15wghNgghyoUQ/xNCpPuPpwghnhNC7BRC3NgIY7lWCPGjEGKfEOJNIURXt/7G81hCjMf2PYv38TQmyTTP/X1Imrlu5nl0Saa5nkzzPMR44nOuSykT9gH0AcqA0UBL4FZgBXAi8COQA7QAZgJL/Ne0B3YBv/Y/fwn4h//cOcA0IA14E2jdgGMZAOz097018DywIER/43IsIcZj+57F+3jMPDdz3cxzM9cP13meqHM90S04pwMfSikXSyn3Aw8CgwHpf6hcW03w3WSAXwHLpZSvSSl3AzOAMf5zwl+2qf95Q24xOwV4U0r5hZSyDHgW+FmI/sbrWMB5PLbvmRCiA/E9nsYkmeY5JNdcN/M8uiTTXE+meQ6JONcbUgHGQFFmAj201yfhU5JNgbkc+lBUAH39ZR4C/q5d08JfpjW+JbsX8anU6xt4LM2A5v7nHfGp48dC9DcuxxJiPG7vWdyOpzEfyTTPQ8yNhJvrZp6buR7B3Ei4eR5iPHE71xM6m7iUMpAqWAhxIb4PwFTgVOA3wBBgA/AAPrV5PNAGKNDqqBJCHADaSJ8qvbjBBqAhpawBEEJcji9AUiVwFjABh/4Sp2Px98V2PE7vmZTygBAibsfTmCTTPPf3JWnmupnn0SWZ5noyzXN/XxJurif6EhVCiE5CiEXALGCilPIxfOt9C6SUK/w3cSow1G8y24NvnVBd3xyf0tzd8L2vi5TySXxrklOA1/ApYaf+xvVYoO54hBDNHN4zSIDxNBbJNs8huea6mefRI9nmejLNc0isuZ7QAkcI0QrIxWfiOlpK+br/VIWl6AHgILAfWIfPWUrRD9ggfWuHjYYQ4jYhxB8A/H15HOgAbMO5v3E5FnAdTwb27xnE8Xgak2Sa55Bcc93M8+iSTHM9meY5JOhcj/W6XSwfwCR8zk3W4yOBInzmzJb4zJlvykNrh7v8ZdoDbwF3xclY8oCeQCo+T/RVbv2N17GEGI/texbv44mDe1nnniXiPA8xNxJurpt5HpP7Wee+JeJcT6Z5HmI8cTvXG/2m1fOGPwbU4lPz+iMbuBTYCOwFXgcytet+CWzGZyr8D9AiDsbSFHjE/yHeCywGeofqbzyOxW08bu9ZPI+nke9l0sxzt7kRqs/xOB4zz6N+P5NmrifTPHcbTzzPdZNs02AwGAwGQ9KR0D44BoPBYDAYDHYYgWMwGAwGgyHpMALHYDAYDAZD0mEEjsFgMBgMhqQjYSMZCyHa44uCaESaAXxRNZ+VUlY1dkeijRDiHKBXY/fDEDcslVKuauxORBshRCZwAb68RAZDKfC8lPJApBUk5C4qIUS/di1Zc1RGE1o0df4sdE531z6dOrR2Pd++U8eQfWl9RHfX82nts1zPp6Z3dW+gmXsfKmjufj2w+0C16/kfyktdz2/bt8f1fOGOna7nS3a6nwfYvStEmT0hAl/u3Qf7ymFvWaaUsiRkgwmAEKLJYNocONDkIP2atArr2t7d24TdXqcBR4Z9DUCr3n3CvibliN5hX7OvSXrY1xTsrQz7mtU/7gv7mvyte8O+ZmfBlrCvkcD+TbmkdOrPgYKPk0YIXCi6yo/ZyWmp7WkhIh9WnwGd692XjKH96nV9k17H1Ov6XU3a1ut6gDU7yut1/ecbdtS7Dz9u2Fqv6yu2r0Hu340s/aGD9CXqDJuEs+CM6NVUtmsJx3dvSk7HJq5le3V2P98jy13gdOvZJWR/OvUb4Hq+XbdBrufTM/q7npep2a7n95Lmeh6gsMoaBDSYvN3ueuC7ou2u5w9uKnA9X1Hgfh5gz1b3MnL7NvcK2rWCPaVw4GCxOPYo5Ir1Cf3lL4Ro052We5siGNuiKylhfukPy8wMu82c4yL7Yu84YkTY16T0Hx72NSXNwv/x+uZHd/Fuh1wbvj7eu9L9M2JHWe03YV8DUC1ac3DrJzTJHCRrS75rKqU8GFFFccJZorNcxT7OojOntAhfxOqM6OX+D6UXep1xQr2ubz7s/HpdX9gs9O9OKN7N3xW6kAsFuZvr3Yc9NcvrdX0VrajdW0DtgcpdQoijpZTrw60jYZZ3hBBi0JFN5IaSWkb2akrblgn9+2WIBe3S4egesLEQ0S8n8UyTfoQQvTvTfG9fWjGUdmGLG0NyI5o0o0mP00GkINpkqYSGCYcQIuU40U5uoJxfkElbmjV2lwxxRkrbbJp0HwEtO6xr2uvssL/TE0LgCCFSs9uL2opqGNHLfVnKcJjTsgUM6A3FuxDdu0ghRELMccUvRKbsSLMNp9CRXoS3LGU4fBBC0KTrEFLa90KkddorhEgoHy0hROsc0g7WIjmbzjRPjJ8iQyMgWnagaa9zqC3Jo8mRJ0ghvP/HF/ezSgjRtWMrsb9DK8Gx3ZqY/2YNoWnaBPrnQK2Ejm0PCiHc1yLjACGEGCE6yOXs5edk0smDb5XBkNI+hybdTobUDhub9j43IayWQogeGTQvzaElJ9KeFONTbAiBaJpKk55nQdU+RPvetUKIVC/Xxb3AAa5p3Rx6dkyErhriBiEguytUHwD4TWN3xwMdvmIvp9KRNNx9xwwGHZHWiSZdBnPwhy8auyteuTmDFvQh7v/vMMQRIqUJKUeegNy/E+BML9ckgmq4u2kTwVdbD3KwNiH+QTHEAzUHYHU+dGwL8N/G7k4opJQ7R9OZ99hBEeHv/DEcvtTu/J7akjyo3FN/D9uG4cYqasllFwcx3+kGb8jqcg7m/x9NOvVDSvmml2viXuBIKWs27jgoOrYSfJJ/kP015gNhCEH5fsjLhyMzkJt/EDJBYiG8JovETmq6f84e1lPW2N0xxDlS1nLwhy+oLd2OrNjRSkoZYqthfCClrNxAeUprmrCYEipJ6E1ghgagtnwHBza9T0rX4zhQuDR5fHAUywsPigFdU8jNP8CuitrG7o4hXtm5F77fCuX7+8vV+Qm3uC+lLCymqtVW9rOMXdSa/3ANNsgDVRzc9D40SUXu2ZwipXSPBRFnSCnl53K3GEQb3qKEXbjH6jIcvtTuyqf2h8+hclfOgQ1vh/WdnjACB+CjDQfE3kp6rthWy9bdRuQYNKSEwmL48Sco399BSrm2sbsUKVLKik1UpKSSwjuUsD+xw5wYooys3MOB/P8jpdNRHPzxm4SxUNrxtiwWP1Hd/0N2soWE0miGGCNlLQe3f03t3i3Iip/SpZRbwq0jUSMZpx/RRuxr3lTQwiVUYXqqu9hLb+XuiN0qPbQTXIt27pGGm7fq4Hq+WWo79waauPeh2kOsxvJa90jXu6vcfT5273f/4tlV6r6csq8s9HJLeagyFSEic5aVQ6tU2P5Ts/qE9o43zhEZMi9lH0emtAjruowOLcNuK71b+7CvAWgRQVBB0S78a/aneNo4EcTO/TVhX/PDnv1hX1OyM/wf59KdP4V9DRKqd22hafeR1Kx7LeEslE4IITp0I3VnRrNmtKjH/91dutUvUCBAek6I6PIhSMlwD84aivKU8D+7Vn4orV/Gmvzi8ANkWtlbFDqCvRtVOwsQrbtQW7yqiZQyIotGQgoc8AWJAu4EXm3krlwAvGL60Oh9qAROkVI+0Yh9iAlCiK5A+Iqg4d6TZGunIduKpJ1NUsrw80nEOUKIpsAdmO8y0wcf5cBp9flOT1iBAyCE+FpKOdT0wfQhXvoQTzTU/Ui2dhqyLTNng4mH+2H6kDx9SCgfHIPBYDAYDAYvGIFjMBgMBoMh6Uh0gRMP/hamDz5MH+KPhrofydZOQ7Zl5mww8XA/TB98JHwfEtoHx2AwGAwGg8GORLfgGAwGg8FgMNQhIQWOEOJTIcRJLufPEUJsEEKUCyH+J4Sof3CEMOsWQnwshKjUHv+OdbuxHHcYfYjquB364fj+x/oexCvhjlsI8TMhRJUQokus2hJCTBBCbBFClPnnxVHRqDta77HHtsIeQ336W5/3JZFxus/Cx8NCiL1CiO1CiCtj3I+g75ZGaL/Rvr/0sTfCuOu8/1Hpg5QyYR7AOcBcQAInOZRpD+wCfu1//hLwjyi177luoBBo0VDtxnLc4dQfzXGH+/7H+h7E6yPccQNNgGX++9glRvOgD1AGjAZaArcCK+pbd7TeY49thT2G+rw39XlfEvnhdp+BicC3wJHAQOAn4NgY9MH2u6Wh2g93rsR67A08btv3Pxp9aPTJHeaNuBeYB5TiLHAmAO9rr48DiqLUvqe6gVRgcxTHHbLdWI47jD5Eddzhvv+xvgfx+gh33MDNwMOR/JCG8Rm4AnhDe90MqAU61HOOReU99thW2GOoz3tTn/clkR9u9xn4EPiDdm42MCMGfbD9bmmo9sOdK7EeewOP2+n9r3cfEmqJSko5TUp5GeAWA3oQPvWnyAMyhRCh8y6ExmvdPYDmQojlQohdQohX62ly9tJuLMfttf4eRHfcQXh4/2N9D+IVz+MWQvQFLgWmxbit14DJ2uvjgArALQJvQ85zL/VEMoZI2onG+5LIuN1n6/1bDfSOdgdcvlsapH2Hthrk+8th7A05bqf3v959SCiB45E2wF71QkpZBRzwH2+outsDa4A/4PvR3wssiHG7sRy31/qjPe5wifU9iFc8jVv40ps8BVwvpQyR3Kt+bUkpi6U/OZ4Q4kLgDWCqdM8T1pDzPGQ9EY4h7Hai9L4kLCHuc9D9w2dlaMjPc0O2H0/fXw02bqf3Pxp9iDuBI4T4qxDigM3jKY9V7MG3jqfqaw40BXbXtw/+ekLWLaX8TEp5lpRyjfTljLkJOF0IEWkWNS9jqve469uHGIw76n1MZOo7L4FrgHwp5XsN0BZCiE5CiEXALGCilPKxEM025Dz3VE8EY4ikHc/vSyLj9t3ucp+D7h+QRoSf5wh/W6LWvgfi6furIcft9Dmrdx/iTuBIKf8mpWxq85josYp1wADtdT9gg5TSc4pgpz4AuV7qFkL8XAhxpnaoGT4lXu21Dxa8jKne465vH2Iw7nCJ9T1oVOo7L4FRwFjh3+HmP7ZFCPHLaLclhGjlL7sTOFpK+bqHITbkPPcynyMZQ9jtEMb7ksi4zKnrcL7P1vvXH1gVzfZD/LZErX0PxNP3V4ON2+VzVv8+hOOwEy8PYAvOTsYd8Xmij8S3ZPIWcFeU2vVUN74lmo3A0fhMas8Az8ay3ViOO4w+RHXc4b7/sb4H8fqIdNxE5mTs9TMwCfgwBnMsKu+xx7bCHkM03ptI3pdEfrjdZ+BKYCk+h+MTgRKgTwz7EvTd0pDtN/b3lz72Bh637fsfjT40yI2L5Rvhf30JsFF7/UtgM76tZ/8hituWneq26cO9/jdkB/As0D7a7TbkuMPoQ1THHer9b+h7EK8Pr/PSck1EP6Re2gIew7cT4oDlkR2FORaV9zhUW5GOIZIxReN9SdSH233Gt3V+Dj7/i0Lg9zHuS+C7xf+6odtvtO8vy/dqg407xPtfrz6YVA0Gg8FgMBiSjrjzwTEYDAaDwWCoL0bgGAwGg8FgSDqMwDEYDAaDwZB0GIFjMBgMBoMh6TACx2AwGAwGQ9JhBI7BYDAYDIakwwgcg8FgMBgMSYcROAaDwWAwGJIOI3AMBoPBYDAkHUbgGAwGg8FgSDqMwDEYDAaDwZB0GIFjMBgMBoMh6TACx2AwGAwGQ9JhBI7BYDAYDIakwwgcg8FgMBgMSYcROAaDwWAwGJIOI3AMBoPBYDAkHUbgGAwGg8FgSDqMwDEYDAaDwZB0GIFjMBgMBoMh6TACx2AwGAwGQ9JhBI7BYDAYDIakwwgcg8FgMBgMSUfCCRwhxPVCiIstx3oIISr9zy8XQvwhym1OEEJsEUKUCSE+FkIcFc36/W2cKoTI81hWCiG6RLsPsSLR+hsP2M1zy/moznMhxCghxLpo1RdGu4HPbgzqbvAxhWrTfBYMhoYjoQSOEKINcAmw0KXYM8ANQoiWHuqbIYSoFUIc7VKmDzAHuAroDLwDvBBWxz0gpfxYSjnApv0m0W4r2kS7j4kw5ljSGPM8kYin+RFPfTEYDMEklMABLgdek1Ie9P8HWyyE2IlPfAAgpawCPgT+5FaR/4fhEuA/wHUuRU8HPpRSLpZS7gceBAYLIS4QQqwRQswRQpQLIb4QQvxKCPGdEGKHEOJml7YnCiEKhBAVQojPhBCD9P/8/M+/EkI8BSy3XKusPNuEEJn+Y2cIIb71W5j+J4To4K8jZP/85VYJIR4RQpQKIb4RQgzS2qtTt1MfHcYV1F/rf7jqtUN9tm0fBujz3PYexGCeAzQVQjwmhNjlnwfH+Os4xz9v9goh3hRCZPmP276X2vMvhRCz/PNtnRDiBP8528+u/1ydOaTVF5gfQogXhBD3addNEkJ8EuJe2M1Px3rCmfsWUoQQ//R/7jYLIYb5r6vz2TUYDLEj0QTOhcASIURv4O/+172A/pZyS4DzQ9T1B3w/EHcCvxdCtHco9xowWXt9HFAB7AP6AWsB9WX1mL/dU4DpQoi21sqE77/z2cCvgHbAUn8frByH78tzqH5Qs/J0k1IWCyG6Ac8BVwLdgP3AQ/4yXvs3CNgCdACeB14QQqSEqDuoj07jsvbXZpy2Y/bQdjKj5nmoexDNeQ6+z9Jmf1sv45sH2fgsltcDWcAqfHPEC8cDP/ivexOY6fbZ9fDZ0D8TrwLnaed+7j9mi0vdtvWEM/dtmuuD7/PUyV/HPVD3s+vUV4PBECWklAnxwCfGavB9Od0GzNPOHQ9Uaq+PBMpC1PctMNz//H/AzR76cCGwA7gWGAXsBoT/3BPAw1rZn4C+NnWkAj/zj6c7MAP4yF/fOn+ZUUCRSz8k0MX/fAowRzvXw98vT/3zl9uplUsB9gK9neq266PTuGz6Gxin/tqmPse2k/lhmeeu9yCa89x//7drr5sBpcDtwDOW4+VAF6f3Unteos2rUcBGXD67IeaQdX6kA5XAEUBzf1+zbca0zq1up3rCmfs2be7Vxj0c2Gj32TUP8zCP2D4SyYLTkUM/vt2Ardq57Zayu4BW/v/a6iCEOB2QUsql/kOPAtcKh/V0IUQnIcQiYBYwUUr5mP9UiZRS+p/X4rPq6Djd31uBAnx+FD9zKLPH4biVbGCSEKJS+Jw11+H70k4No3/bVDkpZS0+wZPhVLcQItWhj17GZUW/R3p9odpOVvR5HuoeRHWeAz+qJ1LKGnxifjg+YaIf34tvflixzvdd2vyrBJoS+rPrNocC80NKWQp8gM/icirwvZSywGFcjnW71BPu3Ncp0sZ90D9ug8HQwCSSwFFfEgIoxvdfmKK7pWyt5a+V6/A5DgMgpczFZ9H4jbWgEKIVkIvvR/9oKeXr2mlpLe+B8fj+G8yRUo4C3oqgDp0SfJaZVCllKtAWOBHfD4rX/mWpJ0KIFvj+Oy9yqltKabfrxeu4agmed3Y/lI7jcmg7mdDneah7ELV57qereiKEaI5vabMQnyhRx9viW3rZivf3UsftsxvuZ+M1fMtL5+GyPOWhbrt66jP/IvleMBgMUSaRBM4OfD/a7fH5B1wohDhZCKGWrHQ6APullGXWSoQQOfh8UJ61nJoN3GDT7jjgRynln+zqi4CmQBMg1e9AeTU+s78Io46D+H5kwHcvxggh+vnF2EP4/lMNh/ZCiMv8/53egc+kvinMum3HJYQQlv5uA7oLITr7LQkTHOqLxrgSEes8d7sH0ZznAF2FEFf5Re7NwNf4BNJvhRDDhBCtgbuAt6WUe/D+Xuq4fXbd5pAdi4DTgF/663XDrW67emI1//TPgsFgiCEJI3CklAeAL4GBUsrvgBvxbaNdD/yfpfgA4DOHqq4FWgHrhRDb1AO4HxguhLA6DQ4CThVCHNAf+EzYkbAAn4m/BHjcP46+eF/SAXgd+EYI0dl/L6bic+Is8ffr6jD7lI/vx3AncAbwO4Aw63Ya1zWW/m7C5//wOfAFvh/ROkRpXAmHzTx3uwfRnOcA3wAj8S2//AaYJKVchc8StACf+Oqn+uD1vbSMz+2z6zaH7OoqAb4DKqSUa0M07Vi3XT0xnH+Bz4L/u+TUKNRpMBhsUI5wCYEQ4iagrZRyWohy9+PzK5njVs7g2/IKzJVSJkWMlGTAzHPvCCH+BWySUs6Mh3oMBkP8kGgCpx2+La/H+//TtSvTDN9/wMOllBUN2b9ExAic+MPM89D4fYTa47M6nSCltDorN2g9BoMh/kiYJSoA/7r/v4AxLsXG4fvBPuy+9A3JgZnnnjgBX8yeefUUJdGqx2AwxBkJZcExGAwGg8Fg8EJCWXAMBoPBYDAYvGAEjsFgMBgMhqTDCByDwWAwGAxJR0KEEO/eKVUW7qxq7G4YEpcCKWWPxu5EKNJFU1nGwcbuxv+zd+ZxUdT/H38OyMoVeaMkSqKohCiIZmoqmlkeaJp5FJqaZvX1KK/KA+/KozzySH+V5pFlppXmVaImZF6oJXmAoiiKggeByjm/P5ZZZofZg/twno8HD9iZ+Xzms+vH3de+T42yTZnY6xoaxUGZCDIWBEG881VbzkecwsuvKQAuvr0M56/cuEPzQStISEjAdNFTjUcVQRAQRbHUbwxBEMQ3ZfUjg9u4EzB7JDrfDiTZOmMfsZ3Xv9hOx44dGT58eAmuVKO0Ulb2uoZGcVAmLDhKXHx7kXR6m+HxtjNV8ff318SNRrljSfcZwAwGTgjkRmoaoaGhvPfeeyW9LA0NDY1ST5kROOcjThn+Tjq9zfDYy68pm34KZdbyH0pqaRoaRcK6sFjD3zF7I4mq44SPjw8tWrQowVVpaGholA3KTJCxX8gRg3tKyZWEhzRqpBXi1Sg/TJ3eheA2hibvhJ+M5/Kd/2jYsGEJrkpDQ0Oj7FBmBA6AU9Bqo9gb0Ft2HneswO3bt0toVRoahYenk47FoXOYNX0368JiCW7jjqeTjuiUNB6312n7XENDQ8NKypTAkXDx7YWXX1O8/JpSz9eX+1k67ty5U+zrWLFiBX369GH//v2GY2UhaFuj9DJ6ewhjAicbHRt/JZSp07sgPN2Ru3fvFvuarly5Qp8+ffjwww9JS0szHNf2uoaGRmmmzAic+2e2YBuzw/BYsuQcv/QfFR+rTuvWrYttLenp6cyYMYN58+bTrFkLunbtyoMHDzhx4gTu7u78/vvvxbYWjfLFVztCjR4HzB5Jkq0zbqOmsfmn7bz++uvFup7Tp0/T4ZkWNHTKYu/evXz22WdkZGQwdOhQunbtWqxr0dDQ0MgLZUbgdBsxj9+/mG50zMW3F8mV/XB3d0en0xXLOsLDw2nWrBn79x9k6edf8O+/Z+jcuTMODg4sWbIENzc3PvjgA44cOcKlS5eKZU0a5Ydpa37iIvr+mSsSw9D5dsAlM5kkW2fiE+/g6elZLOtITk5m7NixtGrViknj3+O5PgM4ceIEQUFBREVFsXXrVi5cuMDatWs5fvw4qalanSoNDY3SRaEJHEEQ/hAEoZXscRdBEC4IgpAiCML3giA8ln3cRhCEjYIgJAqCMM7a+Z/u9gZjDrlzvaa+wXLS6W0knd7G9z/+Svv27QvraRgRGxvLrl276NKlC61ateLFF1+kb9++TB0/gm83/ciY0W/x77//0L17d6ZNm0ZoaCjt2rXDy8uL//3vf7Ro0YKlS5cWydo0So6i3Ou7d+8m8gkdTT6fgFDlCZJsnUk7vZ/YM8e5d+9ekQQZZ2ZmcuDAAT7++GOaNGlC165d8fHxYdWqVTRo0AAxLoouL7/K6NGjOX78OO+//z4PHz7k448/ZuXKlbz22mu0a9eOGzduFPraNDQ0NPJLgQv9CYLQBXgJeBN4RhTFw4IgVAaigaHAAWAVcE0UxbHZ17cEFgLfA/1FUUy2cA8xPT0dOzs7Jo4dwQe+kYZz/7fvOluiqhMeHl6odXC2b9/O0KFD8fPzo5J4k+G9nybx3n2ea9mAyi6OAKw57cqwocHUrFmLXi/1oUf3Xvj5N8fGRq8b7109Qs8BIxn59ijGjBkD6OMW7ty5g42NDZUqVTLcTxRFYmJiSEpK4r///uP+/ftkZGRw7949bGxsOHLkCCdPnuS9996jW7duhfY8HwUKq/hZUe91QRBEURSZNWsW06ZN42PH+tgIAgMnBJKcmkaHzzfz7c/b6dChQ0GfioG7d+8ycOBALl++jIeHB7rfjvIwDV756hOOHj3KX3/9xf6PR9N44LtcS7hDly5dSN19jJDQH/j+++9p1aoVQUFBvP/+++zZs4fIyEjs7e0BSE1NJTExkVq1ahn937x79y7Xr1/nv//+Izk5mdTUVDIzM7l48SLVq1dny5YtVKxYkQ0bNhTa83xU0Ar9aWjkUBh1cNpmzyN/4w4CToiiuA1AEISPgR3AWEAAbLPHCIBVCqtChQoEBARQUeGKGtqhJl+FXWDnzp2FFhMQGxvLoEGD+Pnb5Twd0AzbmB36woI1gJhLJKF3j/nUdQAgeNAQxo2bRBXbOED/LfZ2phtP1q3NvLfb02/SBBYsWIAoity6dQsHBwcqVKjAqlWr6N27NwDfffcdAwYMwNfXF2dnZ7Kysjh8+DAAOp2OihUr0rx5c44dO6YJnJKjWPb6888/z7Rp08hC5FJKOm6jphG3dCYTOwYwffp09u3bZxDRBWXUqFFUrVqV5QFPUKtjB8b8egaA3r17M/BJHQ8/+ogs4Il6y7mWcISdG7/kraptDOJm8eLFANjY2HD9+uMSr8gAACAASURBVHWefPJJ7OzsSE5OJjk5GUdHRzp27MiaNWtwcXHh4cOH+Pj4kJqaioeHB87OzkZB+gArV65k5MiRmsDR0NAoEAUWOKIoTgUQBOE52WFfIEL2+B/AVRAEZ2APMAS4BMwURTHF2nvVrFmT5NRq/Gz7DrciNvLua3rX1JzeXzNkyBB27tyJv79/AZ8RhIWF0a51c1pXuwYx1wyFBb38mhoKDDbz7sG4yR9Rp04dDv+xh8fe7Y9t7B7DHNXRu9HaPiZyfG4zHBo+D4Audh9XI//hx2NJvPvmQMaNq4W7uzvnzkayZcHrdKwSxfmIUzxMFxkQKTBg+HssXLiQmjVrEhcXx+OPP17g56eRP4prr6enp+Pt7Y3zyJHcCw/nyv5tVBo7D/8Xu7IlJZF33nmHZcuWFYrIOXjwIOuDWlGr4wvofDuwOHQOCQcOkrxoIv/sjSRgNiw7EU9kpN5q+tXWXaxIDAMgIiYegJ49e+Lj48PWrVsRRZHU1FR69uzJp59+yp1PJzB9VzhPPPEE3t7e3Ii7xtN+vqwZ3Q+dnf7tZ0itWpw4cYIWLVqwfv169u3bh6ura4Gfm4aGxqNNofWiEgQhBr0J/rAgCKvRN32bLTufDtQVRTHOyvlGACOyHzYXRZEDBw7wxhtvEBUVBcDPm76gbco3CILAvtv1GfnJDn744QfatWunOufevXu5dOkS/v7+NG/e3KRLa8KECVS6f4YPhnYCMLSFkFdTTqlUj34r47h69Sq+XrVZNKEXz7dqaHStJIikAoXy6ssAkcdPUrF2Qy7GP6BlfRced8zRm+cjTnH2Zibzf3/AtWSRVBtHXn31VebNm2fk2tKwTGGb7Qtzr6vt84yMDF5//XW+/fZbsrKyaNeuHStb12Pxx6E84WjLznoVaODfiv/7v//Dzs4u15yJiYl8++23VKtWjV69ehlcRkoSEhKo7+lJv6RKCOR+eTyddIy/EspzvfoxcPAQRFFkzdwQet50AmDghEDie7xJjx496NmzJ61ataJnz554e3sDeuHz0UcfkbxoIjZ+/kTbuWJz5W+e6TuUJFtnXDL1hrCri2cwe+9h/oy5TkxyKnXq1GHevHlallY+0FxUGho5FFUW1V3AQXogCIIOvbXI6mI1oiiuEkUxQBTFAOlY+/btOX36NO+99x5Lly5l3NQFdF98jfhKbehYJYovX3dl8ODBHDx4UD4PYWFhvPXWWwwN7suXS2bTokULHB109OvXj5iYGMO1GRkZjB07li9WrqB+nWpAbnFzIiqNE1FpONyJ5rHMRNavX0/c7Yc05m+DpUcuarz8mhoVJzwRlWa45vTFdDLjzlM3M5b4c2cMx6V73U/K5MsBzuwa/hgTmqfz++b/Y9KkSda+hBrFQ4H2uto+r1ChAuvXr+eHH35gyZIl1KhRg2dX/0KtLm5MvnKA2c5Vubd7DwMHDjSqRXPr1i2WL1+On58f+/fsZMCAATg4OODt7c1XX31ldN+wsDACAwOpUrWqqrgBiE5JIzyoP0HV7Fi7dAHHjh3DK8OW1s1yrCuenp7UrFlT//eq1Uyq1JSrfx/h6t9HaNWqFd7e3rRctZ2At2bi6FqHZ/oOBcAlM5m00/t5q2ob5szcg/BnEq2vO5Fw4TT9Wz/FoAH9iI2NVV2XhoaGhjUUlQVnGBAkimLP7HNNgc2iKHrlc25RbZ2ZmZksXbqUlYvmErllEkmnt/HZjlhmbrmMu2slxn84g+3bt3Mp+jzBzzeiQgUbfth7Gk/3qkwc3JGffvyRr/ffYNNPv9GiRQsGDBhAyr1bfD2pE7WquRj1vFLj4MUMPv8ri6CAasx85UkjC42y4rI014kofaE0//o5sURy1xdgdI107kRUGpHxImv/SeNeqlZgLS8UsQWn0Pa6qX0OEBUVZcjWG/BCey59FoLn7C9xcnJk2LA3cHR0ZNWqVXTq1IkegW3Y8MNWbty8xZsvtMartisjZy+j26uD+eijj9i/fz+DBg1i0qRJ9E06x0ez9qre09NJv0db+lZn0rWLXLxym05UY8H07gBUa9+Oh37dDddPqmTcSmVx6BzD32dcGtOjRw8iIyNJXjSRWdN357pX62auBMweybEpK5l7+xr9+rzIoFnL8voyPtJoFhwNjRyKSuBUBS4APdHHJKwHjoqiOD2fc5t84z906BDPPvssp78bT70nqpKWns7lG3c5ePwip+PtaOHfhJd7vsC2Hb8xKWQeW7f9zB9//MHnn33CrolenLmawvrjsDP8LH2CurBmxSc4xOnf8I+tnWEQGxKSMJFEjNLCI1luJIEj73puSuAEDA4xCKBfT6Qbjtd0EfGvr+NEVBo3kgREUWT+kVQc7QR6DhjCRx99RI0aNfLzkj5SFLHAKbS9bm6fA7Rt2xYbGxtC0jPIEEUar17C37u38POZaxxZ8zMT/erTbPmnvPneJJo2b0GvXr0YPXo0fVt5c/GrP/m3QhJn7DJwdHTkp/Vf4lDDnQejxxg19VRDahUh/y2JEdB3PI9OSTM7x+LQObz7fRjLZk8mbulMNs4PNTlm6vQufH3tLkt/2IV7HQ9CZs2me/fuhZolWV7RBI6GRg5FInCyH/cAlqCPt90MjBRFMV/VwMy98YuiyMKFC5k9ezb37t3D3t6eVq1a0adlZd5+pQ2ZHt1o1rYHCE58s+5LmjdvDoCPjw/XL58jeom+nIl94+48/He7YV4X314mBY686ac5q4yayJHGqOHl15RNm49yI8n0+9PdhyJpmSIRNzO5kFqJ8ePHM378eCpUKDON4YudohQ42Y8LZa9bEjhnzpzhvffeY88efTB77dq1adfYg5nD+zL/lU/x69uAUdsOEBISwsSJE7Gzs+P48eMEBATQHVfaObnwv5+nUsGnHTdXzDXMq7SmWENwG3da/7yJt6q2ser6xaFz0Pl2IMnWmeRFE80KHIAMsrhHBgGNK/FlRgZ169Zl8eLFhvgeDXU0gaOhkUOhCZyixNIbP+grr/7+++907tyZ0NBQhg4din/9KvQK9GH36SQq6nRs3Pyz4Vvge++9h3huMyEve5ic05x7CsglfsB6kSPNL1lnQG+x6d+3RS5LjikSH2SxOyadVt1eY82aNYWWOlzeKCtv+tbsc4Dff/+dp556ioSEBD777DP+PXKIzMxMFiyYT8/+wRwMP4yPjw8A169fp67bE4Q41qODXy08OnvnEheSZSYvrEgMIzyov0Xrjxqf3D3FP926Wz02ExGfucOY+9lS9v72O76+vnm+56NCWdnrGhrFQbn5RHR2dqZnz544OjrSrVs3vv/+e27ct2fail24Vq/Kpi3biYvLSWoZNmwY64885F/BD8gRM8pAXwkpuFj+I2HK4iKPw3Hx7ZUrLkcubiQ2bT6Kl19TuvrbUdNFNPyoUdXBhr5eOv7cvp7JkyerXqNR/ujUqRM1a9bEx8eHxYsX8+Irr3Hk32h+P3iIO/+lsHHjRsO1tWrVoluvnkR1qI17p0aqlpO8ihuA8CB9RXFPJx3BbdzzNHZSpaZ5Eka2CLycdo3nkirwQsf2xMfH5+l+GhoajyblxoKjxsOHDxk2bBiVK1fmww8/xM3Nzej8r7/+yrvvvst3Q11Iu3Yul+tJjlzQSHExEkoLDOSIm0yPboYmocp4HaWVRhIykhVIzUKkJqau/pfFtgvpHD59nvr166u/GI8wZeVbbX73OcCGDRv49ddf6d69O/379zeKV0lOTmbUqFFUqlSJB4u25nnu4DbuRoJkRWIYC+oE5ksYFZS/XO7w+vvjeHv8B6op8o86ZWWva2gUB+Va4FjDwoUL2f3NHL4f+1Suc3KR8+uJdIMAkdxIkgC5kSQYAoKVQcZy5FlZpgQSmBc48usl7qeLbLuQzvXkLL7euJmXX37Zimf+6FBW3vSLcp8nJCTQoEEDnrvrQFXUG9OquaokcSM/V5IC52+SSGpcgxq1nuCnn37C2dm52NdQmikre11Dozh45AVOfHw8jRs3JnqBt9G3XmXatlqcjCnkliA5mzYfNfwtFymmXFDmkESVnJNxIpvOpjF7wVLeeecd6c2Ou3fvEh8fj06n48knn3zkslHKypt+Ue5zgCFDhlD9j0MkRVuO74KcNHGlkJk6vQsxeyPzFX9TGGQh8jC4Pbt27eL06dOGOjxpaWnEx8dz+/ZtvLy8cHBwsDBT+aOs7HUNjeKg3MTg5JfKlSvr3xjv6d/0lfE3SnEjt66YsrCoiR+5uJHmkpDm96+vMwpSliOdk84rrT03kgRqOtsw2EfHJx+Oxt7OhtqP2fDEY7ZUr1aF55/xpm3zxtSuas9rr73G+vXruXv3roVXR6M84e7uzn+dn2Pq9C5WXW/KQlOtfTvCT5ZcHEwDp4osWbKE3r17U8+jLtVsdLzQqhmO9vb4169P/55dqV69Oq1bt2b69OmcPHmSsvBFTkNDo3B55C04W7duZc7k0ewZVxcbG8Fi7I3yuFzwKFPIJdTq20iYEk+mzqmhFqz8IEPk1n2R2w+yaFjFFgc7AdfHsrh1H87fzuL0zSwuJGbR/umGzF+5mSZNmpicv6xTVr7VFrUFx6t+PZbNm4vjp8ussr5IFpzWzVwJPxlfIi4pcwS3cWdt2BWSyOA26dhjgxv6thR9WrmR2rsdGxetZ39iAvZVH2fkmHGMHz++XGcblpW9rqFRHDzyAuf8+fM817EDp2bWQxAsCxzlY1N9puTH1ASIvIiffD5pDrkoUsb3qFmI1O6hROnSepghciQui53RmXyxdhOvvPKK2fFllbLypl/UAuell17CNzKS+POWS/QoA4vVyE96eUnwWuvaLAq/yAWXFOq0a8e6devKbT+3srLXNTSKg/L7VcZKGjRowMO0DO65djAcMxVDoyZG5C4ttQKAptxYyvmUKNcg9bBSm0OaJ6+xPPYVBNrVseVt/wqMHd6fKVOm5Gm8Rtmibdu2JDz3nMXrrE37LgviBmB9+FWqoaNlUiXquFalZcuWXLx4saSXpaGhUcQ88gInISGBtNSHVK+kz8ZQ9oVSi4vp37eFkQAxZ1mR5lByI0kw/CiRRJNUC0dCEjJefk3x8mtqcIuZit2Rauh09bejq7+d0TXy+7s/bsOaVxxZ+dlc1qxZQ1pa2fjg0sgb586do4541+oYnE/umi90WdawRcBjUzjuMQmMGjWKs2fPlvSSNDQ0ipBHvr7/zZs3sbGxYeM3X9O3lb6vkzy+RhIREspKxWp/y681Z6Uxh6kWEfL+V6ZEjVraOhgLMKW15+K1DCa0r8jCaf8jNjaWqVOn5mvdGqWXxMREIq/F0tLGuvoxyYsmFvGKip/olDTq4MSfvx6g/Z9PczE2Dicnp5JeloaGRhHwyFtw6tSpQ9Vq1Xm83tOqFYwhd3dvc7j49sIpaDUBg0Pw8mtqsPZIVhSlVQZygolNiSFJyEi1dZQ1diSLjjzDylw2lnRP6b7S348jMq09LF26lIyMDLPPU6Ps8eyzz5J27zZHTt00e926sFjWhcXmq0dVYSDvQl4UVMSWDlTjGR8vNmzYUKT30tDQKDkeeQvOuHHjeNa7Cs/XuMT5a8bnlIG7egFyKpcbSzrnX1+HF5DqPpwqHt1wIad6sVwYnYgyThlXzgO5rTOWhJWEKWHj4tsLL3KsOKbidepWtqFOnTr88ccfBAYGWnVPjdJPZGQkc6ZP4+DyGbhcOFti4sUSwW3cSThwsFju9WLNSmzZsoURI0YUy/00NDSKl0dW4Ozbt48ff/yRPbt2cHLd23Bxl6pwsRa5C+lW9rFMhcgBvdDoj3EXcjWUrjEJtaadStTE0LG1M4zWqkxFl/4+EZVG7969+fHHHzWBUw64d+8ey5YtY92qZUwf1pd6bjVYMmJFSS/LJOvCYqEYCgh6OukYuGAZE3wCuHPnDpUrVy7ye2poaBQvj2Sa+JUrV/D392fcgKfp2cEHt6Rwo/OLvjymOs5SunbA4BDD31IPKqk9gyR+Mj26ARjOSfOY60xuynqj1g4CclpCqKW4K2v5qKavt32K3svjuXLlSrmoGVJWUmeLIk38jTfe4PIfe6l+OZW3m9dHEIQSq0Bc2liRGEZA5yDGjh1LcHBwSS+nUCgre11Dozgo+59e+eDUqVM08ajEW/5JucSNsuKwEnmvKaXwULOuyLuUJ53eZmi8KT9vKRDZVGyQOazpdg6odyu/cQHdg+t8+umn3L59O0/31Sg9ZGRkcHjfbsa088cl1Z714Vc1cSNjQZ1A3n6+BcsWf8aRI0dKejkaGhqFzCPnorpz5w69X+rF8N6tjI5LQsOUGDAXuCtZZyQkK40pbGN2cGztDNn9cvelkixFcmEj3UMSUsfWzlDNkpICjpXPR+p0riaWlK0f+njZ8tUnE/nzzz/ZsmWL2eejUToZM2YMt24l8t8JTdSoEZ2SxrmPfyWdJJ7vGMiRExF4eXmV9LI0NDQKiSIVOIIgdAE+B9yAHcAwIAVYD3QB5oqiuLAo1yAnLi6OqVOnUrWSE9OGd4arvwPmxY1S2EjuJnnwsNJVJFlpTMXLSOLGEi6+vcCE5UZuGZLImVN/TM3FpazxYzwuZx7Pyja8UK8Cf/3zm8V1PuqUtn2emZnJ999/z9b1axnWqgl1HuhMNs581KmADS2oxAMhkcTExJJejoaGRiFSZC4qQRAqA98CE4Da6M0Us4DOwL+AOxAoCIJzUa1BzquvvspTjepTOT2as1smUaPKY7j49jIpbqQCeWpWm/MRp3Dx7WX4AWMxk3R6m5EAkn4gt7gxV3046fS2XONB3T2mFClKUSP9qFVXVhYK9K+vw/dJOw7HZ9HixSEm16dR+vb57t27efLJJ1k0ayqf9+lItwc6PDp7A5q4McUVHpDo6EjdunVLeikaGhqFSFFacIKAE6IobgMQBOFj9N9udwG22fcWgGKJcv7999859NX/eOK/P+HiLpKsHGcqm0mOFNRLxCmjQGOlKyhHqBiLKknk9O/bItcYU4HEUtp3ztzGLiplWrialUZpwZEeH7+QysrjGTzMgAULFph97hqla59HRkYS2Ppp5jauQszeSDw6exOzN1ITNyaIJ5WDJLJ32x+4ubmV9HI0NDQKkaIUOL5AhOzxP4ArEA4MAS4BM0VRTCnCNQBw4MABKtrZ4FGrCg5P5ggGcynXaqLGXDaTl+KxZH1REyz6a08ZCQu5KJFfK8+6Uq5Zfh7AL4hcQczydHClu01an7Li8uU7AufvZBFQ05Y3Axx49dPduLq6UqtWLapUqaL6GjzClJp9npWVxZo1axj9xiBivttG+Ml4g/VGQ50Y7uOALTt37iQxMZEaNWrg6uqKm5sbdnbWVXzW0NAonRRZmrggCKuBy6IozpYdSwfqiqIYZ8X4EYBUgat5QYpxnT17lhqVKvK4nf5D3NZB30k488FdHt6/z/2HOa9BeibY2YKjfe54HHtHRwAe3r+PU1X9tz1R9zhC2j3DfNL80t/S9dJ4m8dzzOBZ9y4brUdCPlZ5XnlOeY2oexwAIe0emQ/ucvu28eeq9LzsHR0Nz13+XO8/FEnPhIwsSMkQycqCLBFsdPakpqbSuHFjdDodNjY2CELZyEZdtWpVkaXOlqZ9fvfuXeLi4mjYsCEPLkSRmJJGRRuB1KzSXwqiJHlAJhmIiIhUcHQgLS0NFxcXnnzySTIyMqhQoezkYhTlXtfQKGsUpcCZD6SJojg5+7EOSAUcRVF8kMe58l0f5OLFizRv5sONvdN5EPkLYJyNpEwL96+vI2BwSI7bKRsvv6Y4Ba0m5efhhjmkWjegz5ySzilRuo7UMGdNkt/LmkJ/8vuqxdtIqNXJMZdSvj4ylT7P1ubLsPukp6cTGBjIiy++SI8ePUq1eb8oa4OUln2elZXFwIED8UmKZcLEtzk2ZSXrwmLxdNJp7qk8cpn73KlbgWpP1GTvsTM0bNiQF198kW7dutG2bdtSXRtKq4OjoZFDUQqcYUCQKIo9sx83BTaLopjnPMz8vvFfv36dBg0aMP7F6oztWhswjmlRBvyaKuInL9KndAEpUbqQJJQF/uRNMy1RUIEjFy3mgpot1cv5+p8Mzt7MZFhTO2o5CzyoYEN4TAbhlzNo3aELgwYNolevXjhmW7pKC0UscEp8nwOMHDmSQwf2s65bC2o85kjM3kgAwk/GawInj1zjAdu5iRdOPEtV7O2zOJt5nxi7h6RVrcprr73GoEGDaNSoUUkvNReawNHQyKEoBU5V4ALQE31cwnrgqCiK0/MxV77e+FNTU6lUqRKXFvtz5Z+/jYr0gbHAkWJUlLVilNlLprAkPJRj1a6XRI/8Wuk6ZbaW/Dko1ylfv1rBP7nIscZyI12fobPB9TEb6lY2/gZ7+Fwqp+KzOHwtk9j/RN4cNZ558+aVGhdWEQucEt/nABMnTsTFTmDyuNHELZ3JxvmhhnOawMkbaWQRw30a4ISAYGQFSySNqq2r88PRs3j6NePLL7/Ex8enhFecgyZwNDRyKDLnsiiKiYIgDAa+AaoDm4GPiup+alSsWBEPDw/Oxd2nqUrVYbV+TEqMgoSza+CAebGjNl4ZPGwuO0pan9H9lfVwZGuRrlOzPpnLAJMHQZvqcC7/u6ZLFnUr67eMPEBaZyvg7lyBFi1sufdQZN26T3FxcWHq1Kkm711eKA37HMDb25tft20h7fR+YvZG0rqZKx6dvY2EjoZ16LDBi5ysfrlArIoOwu/Rm5qcPRJFjx49+Ouvv6hRo0ZJLFVDQ8MMRRo9J4riL8AvRXkPc1y4cIFz585Roe479Fu9lzefqUCvgbnrusg/3C21RFCzrijHqgkNI5eXYk5ljI68MaapGBqps7lhTpnYUWZvSecqDfmDu18/a3geUqaXfB5pbuk1UWvGaeoxwOP2Aq80tGXW9GkMGTKEffv2ce/ePZ577jkaNWpUaqw6hUlJ73OA7du3Y/NfAlsu3OV7m4dsmjGGxIN/lOSSyjU2CHjzGFdjbvLNN9/QsmVLDh8+jI+PD+3bt8fJyamkl6ih8chTrpttiqLIokWL+OCD96lS6XGa1KvCzqXDVZtRSqhZPKSaMaYqAsuxxlUEOTVvlNdLwkO9QrGxwFGmfJuL67HGRab2vPITwxN1J5MNkek42cHTdSvgrBM4EW+DaF+N559/ns6dO+Pr60t6ejqpqamkpqbSqFGjIvsWXFbM9gVxUZ0/f57+/fsTdeECoiiyb9GHpK3ZqfWeKmJ+II57tlk0rV+Hlt71iTjxD//cvEPA0614/vnnCQwMxMnJybDP7e3t8ff3LzKhX1b2uoZGcVCuBY5EZGQkPXt05YPgVrzeo0Wu7Ckp/gZMCxzI6eUE6gJHniWlJlLkMTDK+yhdX7lcVCYwVZtHuU55AUL5/MrrTAm0X0+kG47JRY6aey8tU8TGNotuzSpia6M/L4oitm4NCT1zhz9iHTh/+SYVdRWoaFcBIe0uF64/4N1J0xg3blyhBymXlTf9gu7z1NRUZs6cyfbv1rN1QGe2fHZQi78pYu6QhgO22GNLcBt3AmaP5PKe3zl8+TpHHmZx8MJ1stLTqFhRh87OjpsJidSp7cbCxZ/j7+9f6OspK3tdQ6M4KL35joVESkoKU6dOpVmTxrz2v9zp33IsVSzetPmo4UeOl19TTkSlsWnzUY6tnaFqHfGvr8vVSBNyW3bkYzdtPmo4r2zXIB2zhLnihOZQnu/qry96Zs6CI53T2QoE+dvTuHkzwzlBEMi6fp72VW7xzeuVORzSkNUvJDO07k1edE0nuJENmxZPp2HDhnzzzTdkZWVZfG4axvz222+sWrWKtVPeoWIF25JeziNBZXTYo3+t14XFcmzKSpwq2tHJqw4LRw3i1P6dtD37kBanklhQ0ZFOMSKZh87RIaAlgwcP5urVqyX8DDQ0yi/l2oJz8eJFuncPokUzL5bOm4Zz/O+qtW8gR3RI50zVi1GOAYzGKcdK59UsJJKbzJQ1Rz6n3HokjVUTL+ayv6zJ9JJnaZmy8lhy7Zly5SkrN2/afDSXBSglM5PQdF/q1q3L+vXrcXBwMLtmaygr32oL4oqd+eEEVi5bybdzx9Eg8QYb54dq1ptSTBpZxNglc6ayHZs3b6Zdu3aFMm9Z2esaGsVBubbgvP766wzs8zyrl8zBwcEesOzykZCaUqoJkBtJgiHAVrLcmBor3dOUBUZNSEmNMeXILSpqz0HNIiNla0nNP+VNN+VzmGoYqoY5cWOqhpA0Tv66mfp3cLK1ZdHT57BLvshzrbxJSEhQvU4jh507d/LtD9vYMeIlnvHx0jKnygA6bPBKd6HFTejSPpBNmzaV9JI0NMod5daCc/z4cXr37k34nxHUqHjTUCTPUnVfCWUDSuVxeTyNpSBcZYCyKcwFLltyKVkbNGxqfmtQvnZKYSO/n5qlSlmHx1R6/thhATj7BDF52U5+/OMiv+zYVaCiamXlW21+LTidO3dmUJ8evPZKH5JsnVn1RAvNelOGSCSNg7pE3ps5k3HjxhWoNURZ2esaGsVB2WmykkfS09OxsbEhKyuL25luVPHoBhasEnIxo2ZZkR9TBiWbc2MpLRvWCgr5dWrVj52CVhsqK8uzr+TjlGtXs7JYyrAylZ2lDKpWm1+yXJ2IMg7qNoX0utrY2PDRqG54uP1J2zbP4NvUj86dO+Pi4kKjRo3o1KmTyTkeNdLS0hAEgbTT+3Hx7aCJmzKEp5OO4GbuTGwZyPift7J48WL69etH3bp1cXFx4aWXXqJy5colvUwNjTJJuXVRtWrVivr16/P9dxutHiMP6DV3How/pE1Ze/IrbtTcWZAjckAvOmxjdpDp0Y1Mj25G1ilLhf5cfHtZLbKk+8rnk36U5+WuL+VzkAdZq2HKqvNmn2eI3f4+b3apTUJcFP+cCOONQX359NNPrV5/eWfatGnMmr8IG++2JNk6E9zGHU8nncZTfgAAIABJREFU8wHzGqWH1j9vImDKPOYKduz6+F0eT7rKP5u+ZNtXy2ndujW3b98u6SVqaJRJyq0FB+CVV15hzZp1vBb8utVj1AvonTISMVIhPFPuK+k6tdo0ao8BWdE94zYMSiEiHZPEjrI/lSl3WI54yzkmXWcpJV1ZRFC5dvlzMiWcpNdRnm4uIb2WpqxgFXUV6PtcU/pmPz7X1Z3Atz/i3XffLZeFA/NKu3btuJuUxIlTf2NX1Q2fHdvxWDSRWdN3l/TSNCwQnZJG3NKZAHh09qZaHTecvjtFhZQ03PgPoW01fvnlFwYPHlzCK9XQKHuUa4Ezb948OnXqgiiK3M50o7pvL0PLA3NZUupundxWEbUAZDnnI04ZWioohYEkCCShohZjIxc8aiJJ6qUlFzVSxpa5tZlLlTf1GsjXYwrrzueOx8lZv3UB4A09auBkJ3LmzJlS1QeopFi7di2ZmZnUdquFc21PXDKT+WdvpNZJvIwwa/pupk7vQrX27VjSfQatm7kSnd0J/slKjvz222+awNHQyAfl1kUF8PXXX3P06J+81KsrN2/Gk+nRzShzSRIecreLUhScjzhlVI9GDWXsjlpcjuS+kTKa5JjKXpKET6ZHN5yCVhtcS8pUd6VrTXoszwJTe27KNZpDTYDJRZopTAmpmi6iWZeVhNSFXXnfZ+vb8dtvv1kc/yjwyiuvMHTYGzzVphMbN1rvktWwjuJy+Y0JnEx0Shoenb0N4vTJ6w/47bffKAvJIBoapY1ym0UlkZWVxaxZs/jqq6/4es1GOrgczlXrRa09ARh32jZV6VhuMVE7r0S63lxsjiQm5B/uUjAxkEvgqLWRUHOXKTElPuRjlfV38ooy6Nlci4y8dG7/6VgC3116kl9//dXiGspKZklBKxmfOXOGnj170rZtW1YM6sTtPw4RszdSa9eQBxaHziHhwEGT7j3J0gJwbMrKQnltJfGkZm3zdNKx0jWTbdu20aRJE4tzlZW9rqFRHJRrFxXos3FCQkJo1KgR/fv1JjpiDy7Z5zI9uuGCvvmltR24Qb3vk/QBrSZ2lK4mUzEtSuSiRo60VsnNcyIqDS+/3K4s+fOQhIZccKhlVEnzqsUY5QdlXJEX+jggeeq43JJjbZf2do0e5521B8nMzMTWVqvaC/DUU09x+PBhunbtypqIRgQB4SfjNVdVHhgTONmstUYvfHazOHROvsWNmqAZvT2EMYGTja4LbuOOR2dvLlwT2bdvn1UCR0NDI4dy7aKS069fP/z9/fj6xz+tHiO5r6xxpSiFimT9UWY1mYq3kWcgSZlRcuTCRXmvG0mCwf0lFw7yYoPSPeTrkKMsTmguldsS8uBjc/FF/fu2oKu/nUFIqV2n9lq4+PYirXYHqlSpookbBdWqVWPevHnM+/wLav1vqj6eIyUNTyedllllJdaIQaUYyQvSv4n8fku6z8h1XfjJeGL2RpKQkED16tXzfT8NjUeVcm/BkTNp0iSCg4N58Ze1eNR5AoBb7sOpTo4VR95WAbKbVGYH80rILSU5Fht5MHFu18+mzUfxV1hR1DuGnyLAd4fqh7r8nnL3Wc743JYY6ZzSGqOsqyPNZy6byVqsic2RUFp4lEip8Mq5D16sVWjl7csb7du3p2bNmkxZuJyQ2SNhyko8OnsDGKocaxad3AS3cS+Qy8mSpUyyyAB4now3XGtqXHRKGs+IIgcPHmTx4sX5XpeGxqPKI2PBAQgMDGTcuHG8+sZ7RkF7t9yHmxyTdHobAYNDDEG6alV7JfEgWWGUwb3Ka5QuIum8uYrH8lYLXn5Nc3UHl6NWWVlNtMjr6sjXaGkt1qLWFkI6LmHKwiNH7qqTrv0j4qImcEwgCAJbt25lw4YNhN2zI2D2SEPcSHRKmiZuFHg66Zg6vQsBs0caHZ86vQtTp3exeh5Lr6skbqR/C3PjPJ10BLdxJ72ZGy4uLri7u1u9Dg0NDT2FJnAEQfhDEIRWssddBEG4IAhCiiAI3wuC8Fj2cRtBEDYKgpAoCMK4wrq/tYwZM4b/7qex76DeVVXFNg7QVwVWi02RXD/yY8rAZHn2kjnrh1IcKYviyevSpPw83JBxpVZjJun0NiOrjOSSAvMdv6V7S0h1ddREV1GR33tIr0VWlsgfERd59tlnC3ll1lEW9nrNmjWZMWMGH332OTrfDkDuD9ZHneA27gS3cSc6JY1Z03cb4m+kn5i9kQWqJSR3C8rdg9K/h6kxwW3cGb09hIDZI/lH51Ri+1xDo6xTYIGT/ea+EmgrO1YZ+BaYANQGBGBW9unOwL+AOxAoCIJzQdeQF2xsbPjggw+Yv2yD0fHbmW4mLQl57eekTMm2JCBMNcFUu0YZGCwXM0qRY63QUWvkaU6EmIutUUNtrryMV7Jo51Vq1W1UoP5U+aGs7fWBAwdy7mIMR0+cNBxbHDrHkPb8qMfkeHT2zmW1iU5Jo3UzV1o3czVYXMwhWX/UGH8l1HANQMzeSAAW1AkkOiWN4DbqVpnWP29C59uBuIQ7fPTdbl5//XVrn5KGhoaMwojBaZs9T7LsWBBwQhTFbQCCIHwM7ADGov8AsM0eIwDFnqc+YMAApk2bxpHjp2jZPOfDN1PWr0oZI6MUHsqMJMidUq0mVtSOKbOulPOaGy+vuSN3TZmrspwfTK3JnEgJMNHjKr/CxsW3Fz/t/4f/O3SOI8e+L4kqxmVqr+t0OiZMmMDHiz5nyzf/R9rp/UbnWzdzpTU8smnkUkaUEun18DwZz4jjP/Jg9BgCZo80CgSW3Eqtm7niPHYeqFh6woP6M3p7CMemrDQ6LndJKTOqRm8PISImnvpVnRgQsph33nmHwMDAgj1RDY1HlAJbcERRnCqK4htAouywLxAhe/wP4Jr9DXYP0Bi4BOwRRTGloGvIK3Z2dkyYMIH5y78FctxUSiuO8gNd6bqSkI8xN17p1goYHJKrMaYkRMxZjZQZT2Dc60lZyFBe3FC+FrWeV2rHrLFgWYOyMac1yAOMf4ysyMhPfuGnX3ZQu3btQllTXiiLe33YsGGEHT1B5Nnz6Hw7oPPtQMDskQycoP/QDD8Zn6c4k0eJ6JQ0VjXvzbqwWJZ0n6EavxR+Mt7o8eLQOUyd3gVPJ51hnIRkEVocOocViWEEzB6ZK6Pq2JSVuF8/TudXBtG0bUc++OCDInyGGhrlm6IKMnYB7kkPRFFMBTIAF1EUs0RR7CeKYlVRFE2mBgiCMEIQhGOCIBwrigUOHTqUv/76i1P/nDUciz6XmCvg2JyrRt5NW47chWPqGnNI4kVezM9UA061uB81kWTueSgFh1LAKe9tSqAoY4YsXW8JubjZ8vtp3hk3nZ279tCiRcGKDxYyBdrrRb3PHR0dGTNmDLOmTSHt9H6SbJ156Ncdt1HT8OjsTetmrsTsjSwXIie4jbtBXOTH/fbJ3VOGuBwlchHSupmrwc03cEIg9hHbDbEzS7rPYNb03Ybro1PSWBcWy7qwWIOLakzgZN6q2oaEAweNBFJwG3eSMzLoMXEezZs3Z8WKFdjYPFJ5IBoahYrFSsaCIHwIzFQ5tVYUxWGy62KA/qIoHhYEYT6QJori5OxzOiAVcBRF8UGeF1nACq+mWLJkCbu3/8i2b/Um5NuZbkSfS6SV449GgcSmLBp5ES+mApOl+eRNKOWxM5aqFMuvkzBXVVnZu8palEUE5ceLArm4+eGnXbz7wRx27tqDn5+fmVHqWFvdtaT3elHt8//++48GDRqwZcsWo95d9hHbOTZlJeGylOWySEHTu0FvVQEM7qSA2SPN1roxldq9OHQOx7LT8jfODzXUIGrdzBUg12stiSmPzt5UaN6c7hM+odVzXVmyZEm+XLBaJWMNjRwsfj0QRXGuKIoVVH6GmRl2FpB3QWwMXMiPuClK3nzzTSIvXObQn/ovz5KrSvpwNdcZW4rBscY6Ic+Cko+Vz2cqKFjNhWSutxTkDnJWnssvSjFjrj+VGnLrjtLSo9ZzCiD60hVGTZjB7j2/5Uvc5IXyutcfe+wxPvzwQ+bOmIZLZk74kNyCYCrgtSxQGDFEYwInGwTNurBYxgRONvmamKt3I82htOIog5klwk/G47NjO26jpvHe2p00b9853+JGQ0PDmKKyf24DnhUE4dnsLJO5QKnrAlixYkVmzpzJhzMXGurieDasyu1MN5yCVgOmRY4kUMyJHFMf2vKxoBcKkvBQWm/M1ZAxham0dfnxvMbVyAOETWVAmSvwpwwwtrb2zYczF/LeuAk0bVr06ev5pEzsdb2Yv8jv61ZiH7Edl8xk3EZNM8oYktwzJSl2JEtKSSEXS2rC6ZO7lv/fqI0bEziZdWGxuYTR6O36elb7Is6yP/wICxYs0MSNhkYhUWjNNuVm++zHPYAlQHVgMzAyOz4hP3MXiekeIDMzEz8/P0ImvElQ105AjquqhXcqKT8bx+SoVR+Wu3xMfXDLqxDLUSscqFZRWK1DufKcEmXTUCnLS7pPwOAQo/YOyt5ZSpRBwsrnqhQ2loKKLYmcPyIuMmjWds6ePYuDg4PZa81R2Gb7otrrRbnPAdatW8eKFSvYN+dtKjYNJMnWGZfMZOKWzmTj/FCD0InZG2mwOEjBtRrqrjBzjTKtOf/J3VM8lvEfrbu9zJtvvsmQIUMKtEbNRaWhkUOhWXBEUfSQ3vCzH/8iiuKToig6i6I4JL/ipqixtbXlk08+4f2QeTx48NDonLnaOBLKhpbH1s5QDbQ1h7LoX/++LUwGFOcXyRokF1j5Cf6VjzH1t/yYtS4rJfGJ//F6yLd89tlnBRI3RUFZ3esDBw7k/v37bPot3ChlXF4AcNb03QYXTcKBg4YP5vIQhKwkr4HI8ro40tiBEwINcTZqRKekMf5KqOp5yVo1a8EiBEFg0KBBeVqPhoaGeR6pXlSmePHFF/Fv0YpZ85cxd9o4fSxOQ70Vp4q3vuO42gexUtwo//bC2CWjrIhsif59W1h1nVL45FiUjK1Npiw9+rggi7cpNh48TOelcV8zePhoevfuXdLLKTfY2tqyatUqgoKCeK5FEx7LPq7z7UDrZitzXS+v4luQir6llbxaptxGTSM4OxNKEjtSZpSyto38sbL+0NTpXXAbNQ2AH75bx9ff/sDhw4e1xrEaGoWMJnCyWbJkCb5NnqJvzxfwa/qUQeTczoQqHjkix1yNGKVL6XzEKSORYwk1q43xsRwXljnkzT+tEUhq2V2WKhoXVfbUuZibPD14MX36DiAkxHS/LY380bJlS1599VUmbdjD8sCBhuOSS2pdAbpk54Wp07uUCdG0IjGM8KD+AIbfkCNs1oXF5nJdjd4eYpSBZSob67X+/dkTcZbQ0FBq1qxZFMvX0HikKbQYnKKkqGMTJL744gu+27CG3Vu/Nhy7nelGFds4bGN2GFlx5B/w8jiWG0lCrmyo/DauVAoPeYyOJaxJG1cTQJZaNChRdiVXG2NNBWPpmtmhtlRwa8XHH39s8tq8UlbiEoprn6ekpODl5cW6desIbNbQ6NxbVduojrHUKdsUauMk0eCzYzvR0dGsap4/K11hpIdbQnIttW7mSvjJeMNvyS0l/w164SbFM6mtLbiNOwGzR3Lb1Rvv1h2JjY3F2bnwOniUlb2uoVEcaFWkZDx48IBKlVyMjlWxjeN2phuZHt1wClpt+LnlPtyQJSUV5OvftwVd/e0AfV8oqXWClLVkyephytoiCRFlVpS8NYOEMkXcnLixFnN9o8wdVwofSzE/Lr692BV2lpdfftnqtWnkHUdHRxITE3F30e+JtNP7DT/yDCp5wTxzcSbmGDghkKnTuxjN+1bVNqwLi2VSpab83q6/mdHmKQpxsyIxzOh5ui6fYhArrZu5qqZ7ywWclB6+LizW8PrJ45cCZo9E59uBvfsP0qlTp0IVNxoaGsZoAkdG79692X/oKAmJd4yOSyIH9BYduVUHYMSsOQQMDsHFtxcBg0MMbROUlhzJ2qEmClRjeBQVhCWRouwirjwvR9n0U/5bianj+Q1GNpVVBblT6KVzNg6VsLOzy/P9NKxHEAT69+/PV1v0+1fn24GEAwdJOHAQwFClF4w/vNXEiiUkN5SpxpV5tQoVdYNQpQXLc9Vqg5AKPxlvFHgt/TYXYGyYJ/uaJd1nEB7Un6Tfftb2uYZGEaMJHBl16tShX79+vD0uhPv3jeu0SSKnim0cVWzjSPl5OKumTubY2hlG12V6dMMv5Aj9+7YwsqZIVhxT7hqlmFHrLi5ZY6xxUcnnkzfxlP+WX2cpzd0SeR0nicNMj25GYsfRwZ779+/naw0a1jNlyhRWrVrFocNHSLJ1NsqkAgyVd+XMmr6bjfP1HbKnTu9ismaNKQFUGJlYxZGy7rp8iqGnlNxKFJ2SZoi9kQhu4252TVIrjIETAglu425IxXf189X2uYZGEaMJHAULFy7E0aU6Hbq9yqXLV43OSZWOIac4X8DgEFZNnUzS6W3cch/O0ciKhkKBahYRSeSYKgIoIW+oqdbJ23xGVFOjx3lFEivyQoT5wZpxktCRcHRw0N74i4H69euzYcMG+rz+JqtXr8auSXtAb2nx6Oxt1JBT6aqSoyZmwk/GG6xAwW3c2Tg/1CCMSjsjjv8I6AOD1YKg5YJHaqgpIbd8ya9fFxbLxvmhhJ+MJ/xkPNXat6PCU+20fa6hUcRoWVQKHB0dWb9+PYsXL6Z1576897+hjBk5GJ1Ol8vq4BfSjUzAv/4MNm0+in9EbTynXM1OL8/+gFfNsjoFES3zJD7OR5wyFOxTVj02135B3rvKmkJ+crdSXtYnud/kj5UByKZcVnKR4yDe48GDUtPloFzzwgsv8Oeff9KnTx+2b9vCsnlzqbR3k+F8tfbtWByaY9mRtzKY2tmbh37d8eh8EFRiYcJPxjNwQqDeMpTd36k0Zk0Ft3E3uM/cRk0jydaZp5L+JdyKsUqxZy4mKDoljanTuxCzNxKdbwdc1q/U9rmGRhGjWXBUEASBsWPH8teRYxw6+i8BHXpz4NCRXO4UibpTciw9VWzjaP3sk3y9/ga33IebLdgndxUpY3NM9ZuSu7yk86Y6jauhvE5+X3Ndwq1BLcssr4X+UtMytHogxYinpyfHjh2jT7+BtA/qy6JzcTi0bGl0jc63AzrfDrm6dCcvmsiceNtcrqrolDSiU9KMBE1RZztZQhnsKx3z2bHd4J5LsnXGPmI7oC/CV5jxPtJcAbNHEh7Un9R0bZ9raBQ1msAxg6enJzt27GDOR/MY+s77vP7WRK5cjct1XRXbOF5ac5MTUWl8GdyM8D8u4eNfl+hziTgFrTbZ1RtyRI6lqr8FqWysFEqmXEfymB9l/I8cays1u/j2yrOb65/oGzRp0sSqazUKhwoVKjBq1Cj+/vtv4gQXmo6Yzk+XksnKyiLhwMFcheqC27gbYlGWzZ7Mu9+HmezRtKT7DNXj8rmKg+iUNJzHzmNFYpjRsX+6dWdM4GRi9kYSHR1tOKfz7WBxTskFJ8dUXNLo7SG4jZpmCOQ+sne/ts81NIoYrQ6OlSQnJzN37ly+WLmcV17qyqR33+SJWsaBmHN66ssBd/W3o262qwow9LSSu4skTKVvqxXfUx5XG5OfmBtT88rnz28cjjV1ciSrWMLxTTzVdx6Jd1MKteFgWakNUhr2OcC+ffuYOHEi6Xdv0d/OieB+bXlidAhxS2cSszfSUA9GSnmW97RSc0OZq1djqVdTYRPcxt1Qx8YUklizj9huskifhKeTzmTNG8ipWhwRE89TSf9ybMpKPDp788Hhf2n70muMGDEi/09GhbKy1zU0igNN4OSRW7duMX/+fL788ksGvtyNCaPfoFbNGobzksiZ/FOEoWmnZ8OqAIbUcinzypTYsUakmBJAeSUv3cnzKnKkAohq65MLG9DH4fz213nmbIjgQNiRPN3HEmXlTb807XNRFPnll18ICQlBSLnLjBnT6fZ8J9L/PmC4Rvqwdh47D/uI7QbrhKlYG3PWmuJ0YUlxNzF7Ixn94D5LHByN7i9ZeRbUCbRKeJkqgjh1ehecx84ziD/QV0D26OxNjw17WP7Nt7Rq1aqQnpWesrLXNTSKA03g5JP4+HjmzZvH1199ye6tX9OsSWNDsGzS6W04Ba0GMNTPUVJxRzdViw5YV/k4LxWITY2zppWDOXGjDCxWQ9lFXT6fJHCk123RhoNcSq/D0qVLrXkqVlNW3vRL4z7Pysrip59+YtKkSbQJ8GPliCASDhw0fFADuVLMAYPYgRzBo7TWyGNcBk4ILPYgZLk1x9NJVyRrUFqvFofOITMzi2o93uTmzZuFXuivrOx1DY3iQBM4BWTcuHFc+PcUKz+bSfVqVQzHbWN2cMt9OD99e4KeA/yJPpdIC2/jJtOW3FbmRIsll1J+xklIAczyeZRCRhlQrCZ2lOJGTsDgEDI9uhllUA1d+jdPP/00b731lsU15oWy8qZfmvf5jRs3aNSwIWs/GEHQiLGGuBxJyFRr3w6dbwcjS4WpVgVyF5ElF09xktd2FNZcr2zjUK19O85evkbQtGVcvny5QOtVo6zsdQ2N4kALMi4g06ZNo56XD03bdGfJyrWIokjEjJasmjqZiju6MeS1nCZ6tzPdSPl5OF8GN8M2ZoehVo48DsdcyrccpYhRtnFQohQf5q63Zg1S9pWpNHC1dHNltpdc3Bw4Hs2ePXvo2bOnxXtrFD81a9bk202bmLB8PS+82JW4Sp6GczF7Izk2ZSVxS2eycX4os6bvJvxkvFXzSm0N1CjqqsVK5MUNlcHCakUK8xM3JIoiby/8stBjbzQ0NHKjWXAKibNnz/Js29Yc2v0drqdncj7iFH4hR4xq5xyNrGgIOHYKWm3UwNNal5MpC4ylWjfKQF9TjTvVWjuooax5ozyel/YOLr69eHf1aZ6o9xQTJ060epy1lJVvtWVhn6elpTH6lW5kZGaybNwwICcWJ77HmzwYPcZQA8cad09xWXCstc4sDp1jMbA4P/eWxJPTMx50+upXbt26hY1N4X+/LCt7XUOjOCjw/zBBEAYLghAjCEKyIAgHBEFomH28iyAIFwRBSBEE4XtBEB7LPm4jCMJGQRASBUEYV9D7lxYaNWpEU59GXIiOwSloNX4hOYGyUqyJFGzsFLTa0MBTwpqYG3PuJbWaOdagHCMJHlNVmOVp7WrkRdicjzjFps1HObZ2Bpf+PU6DBg2sHlsSaHsddDodL/9vEheu3jAck2JxXH/5AsgdT2PKEiPFvXh09i6UNg7msNQ3SqKwxY10b6mi8ZU7/1Hfo06RiBsNDQ1jCvS/TBCEBsAy4C2gOrAL2CQIQmXgW2ACUBsQgFnZwzoD/wLuQKAgCOWmnW7Dp/yIPmrcekAeSCtv9SAhb4ugbM9QUNQEiZpQyoswsiTEzNXY2bT5KJs2HzW6v3TvS9cSqVevntXrKG60vZ6Dl5cXUdkCR+fbgWrt2xl+PDp7U619OyMhMXp7iGoGldyiohaoXBSoWXHUWiwUFYmutahcPXefLw0NjcKnoF8jOgKhoijuFEXxAbAAaAoEASdEUdwmiuId4GOgf/YYAbBF3yZCAEq3TT4PNGjQgPN3LX+GSenjkLurthxTzTHVULqaCkMgKVHeW63gn9JdJQmeE1Fp3EgSjLqfBwwOwcuvKRVavcG126l4enpSitH2eja1a9fmzn8pJD94CBgXxavWvp1RV/IViWHofDuYdEFJwubYlJXFHnMjsS4s1iB8irLwoIjIlv1/0aFDhyK7h4aGRg4FFTjbgFGyx82B+4AvECE7/g/gmv0Ndg/QGLgE7BFFMUVtYkEQRgiCcEwQhGMFXGOxUb16de6kZKmeMyVkpBgdpUBRa+cgIe8A7uXX1GxwsVKU5CWdPL8iyVTvKeX8+qajz9N38g8sX7680FNmC5ki2etlcZ/b2NhQtXoNkp8wXYl34IRAfHZsJ8nW2ZBZpYY8nVytg3lxoxRihSW6gtu44/Fma27eTuLdd98tlDk1NDTMU6Bmm6IoGlIlBEHoA6wE3kf/zfay7LpUQRAyABdRFJOBflbMvQpYlT13mfjm6+zsTEqKql4zSV5iVkyJE1NxNGquJ0uiRWromUPeCwoqa95I8/56It1ofVniSWZ/nUj3oJfo379/7olKEUW118viPgdwcnIiJeU+aaf3G3pVKVs6SFgKNpaqI5dGCqvC8ol7d1n4w7+cOHGCihUrFsqcGhoa5rFowREE4UNBEDJUfr7MPl9NEISfgMXAMFEUPwfuAg6yOXToxdSdonkapQMnJyeSk5PNXqNW+M9STRvpR3mdKSuLqZgaeeaUWvaUNE4+Xn6dqfvJU8bNPZeaLqKhAzrAlr/TuXX9KvPnzzc5pjjR9rr1ODs7c+eU3voiFzZSEUDnsfP44IMPDM0rTSHVy5EadJZH0sliTsxFZs6cSZ06dUp6ORoajwwWLTiiKM4F5qqdEwTBCTgEhAONsr+xApxFH5sg0Ri4kB27UG7Rf6u13oJzO9ON6r69OLH5qNFxU6nelh6rBe9KrRLUhMeJqDT6921hNF5N+EiF/6Tf8nsFDA4xXKtW+8b4sbE16PVv7jJ+7jR0upKJvVCi7XXrcXJyIs2tMTrf1oZjOt8OVAND64Y33ngDkv4124tKOm7umrKOoz1Url2Ht99+u6SXoqHxSFEgFxXwKnBdFMWhiuPbgPmCIDyLPiZhLrCxgPcq9aSkpODgoP8yfzvTTTVrSk70uUSqO+aIEWu7g0tY21zTVNaUsomn2v3lokY5n5dfU5MutvMRpwziRwo09pKdd/Htxb9xq/D29ra4/lKCttdlpKSk4GBvr3rOPmK7oTbOw7HziB6RiefJ2YaWCPKUbenv8ihugtu4EzB7JBsupnI3NLSkl6Oh8chR0CBjX6C90qQPOAODgW+AWOAm8FEB71XqiYqKol7tamavkUSPVBPnlvtwIG/iRi6/lxJBAAAaQUlEQVQwzAUDKysHK4OTlfMBuTKdpLWpCR1LyLOs5EIouVYgI5ceJSkpqdTXvpGh7fVsRFEkKiqKml76IOMkW2eSbPUB4lJGVfjJeGL2RpK8aCLB3TvR6eAmpk7vYuSGKq8uKYk6nRrzY9Q9Zs2aRdu2bUt6ORoajxxaJeNCZPz48VRxEpkwerjFa+f09GPyTxEcjaxIhc3GmVBqzTbVAneV55TkNShYKbJuJAlGMTPS2vJzD4lrt1NpP+sMQ4a/zfvvv0/VqlXzND4/lJXqrmVlnyckJNCgfn1uXzxjOJZk64xLZk78mZQ5Va19O767komPjw8PRo8pNktNUVQkzgvBbdz5IjWRyHQ75n36GR07diyW+5aVva6hURwU1EWlIeN85ElefSXI4nVzevoBEDGjJZ5TrrLVCutNXls3yM9Z23xTGVysFDemxpub/979DE6lexMdcQCAsHNJvDJwcKkJLNbIO1FRUdR/0gPAYLlR4jZqGgAL6gTq07+XLC5WN1RxixsRkdukc4s0shD5oxL8fCiOCxcuUL169WJdi4aGhh5N4BQiF2OuUM/DcqGwaYtnM3PMFOpOuZorTsec9QZMixVTgcTWonRBqaWeW8rOktb2r40f30XYcODAAaKionj6aSfq1euIIAhU97Mpkn5TGsVHdHQ09et55LLaqDH+SihJts5ER0cX0+oKB0u9qzyddKSKWWQ+W4PjumocOnSI6tWr8/TTT+Pg4MAlYP78QZq40dAoQTSBU0hkZWVxMSYWTw/LaaCZHt2Y/FM3II6IGS0NMS+mLCZ5dQPlBUkYmXM9Kc8rxZT0+ErCQxb9epVd56IZNWoUy5cvp3nz5qUmS0qjcIiKiqKeR13A2DWlFDxpp/cbCvk92BtZKPeeOr2LVU08C8r4K6EsqBOoKnIyEHm8W13mHD7PM5Xq8OpLL/HFF19Qq1atIl+XhoaG9WgxOIXElStXaNUygMtnDqqeV8uqSvl5OJs2HzUK6q3pIhpSt9U6gEvCQ3lOjqW6OmqYms+SVejynSx2xD7GoatOJCUl0a9fP2bNmkWlSpXMjitOykpcQlnY5wADBw7kOY/HGTJ+isFFZR+x3SBm3EZNM9TGWdJ9BlA2AorlXb8dlizmqaR/OTZlJevCYslCpM6LtQlNteevv/6iadOmzJw5k06dOpXwqo0pK3tdQ6M4KBctbbOyshg4cCBVq1Zl4cKFACQmJjJixAhcXV1xcnLC39+fzZs3F9kazp49S8MG6s0ipeJ+8iJ/UosGyG25MdWx21KHb1PXyQv7SdcrxyWd3mbUKNNUdpaUgVW/qS/fRqTx1k57GnT+H1u3biU+Pp6lS5eWKnGjUficPXuWpwL1rUfsI7abLOYnZVSVhhYM5ghu487i0DmMvxJq6Pq9qnlvxgROxqOzN3dIZ5dNPPvTHHj33XeJi4sjLCys1IkbDQ0NY8qFwNm7dy+NGzcmNjaW0NBQ7t27R6dOnbh8+TL79+/nzp07LFq0iNGjR/P9998XyRrOnTuHV32PXMeVlYulx0mntxkJCEnkKF1F8oaVSkFiDjUxZCkV3dScyrTyFLeOvLT8OkfFAA4fPszkyZNp0qQJgqB9cSzvZGVlce7cOWo19M0VYCx1FJesN0m2zozeHmK2DYO5Xk/F1eV7XVgsx6as5K2qbXKd2+ZYl31VH/LB55+xd+9eunfvjouLS5GvSUNDo+CUC4EjiiKZmZlkZGQgiiJr1qz5//buPUiq6k7g+Pc3zQwMM/ZAzzCAg+ExKMyIIEgCCcvDNaBb2VhkQ5UxMWGzqVi6mDKbrFkrrgYrMQ82u8aKBBNMzBYVE5KdDVKQGN3aAAHUxBV88JCHjPKakRlgXjDvs39093Cn5/bj9mP69u3fp+qWM9333HN+fQ/jr8+5517OnDlDXV0dNTU1FBUVsWTJEn74wx+ya5f9FFKq7EZw7B7LEEs4yQknE+EHUoYTD7ukJZx8WEdfrO8Bto9gsGMd2QmXjbyPTkdXH7d/+acsuvUOdu7cyfTp0x3FqJK3Y8cOamtrWbNmDSUlJSxYsICtW7dyww03MG7cuGFZmXb69Gn8fj/j3/kT7T/42qAniUPwUQ2v/utTAPj72gc9TDNSoslLskmOkyeD263wmvCNv+ffNzzNy6/8mXvvvVcTeKVyjCcSnBUrVnDo0CGmTp3KihUr2LNnD7fddtuQp1OvWrWKJ598MiNtePvVF6nxNw1MPTlNbiDxe8xETh/ZXavj9GngdvuG70QcPlZfv+Hun7zN7IXLeeyxx/D5fAkfX6XHoUOHqKmpobExOCpy33338dxzz7Fr1y4eeughWlpaMlr/4cOHByW11odtWoUTm2f/7Y9Drr+xJh6xpq827TkZd3orVvIzZXltUsnRZxddw989/hnWrVvH7373O6qrqx0fQymVfZ5YRVVQUMDmzZsHft+2bRs33XTTsLbhxOnzTKsKDGudibiSJA2+mV+s0Ry750gd2fc6z+xooK30en774x/rt9ksGTNmDGvWrEFEmDNnDosWLWLatODIod/vp7GxkbKysozVf+LECa6dXDXk9cgniVunqiKFR0uOd3RzfM/JmEuyY907J95SbrvkKhE/3/MedQc3sG3bNmbOnOm4vFLKHTwxghOpvLycpqamIa+fO3eOurq6tNdnjKGhuZWJFUPn5o+/3WxbJnJKKdoDNsMip4+s+9ldjGz3mIZEhUdz+qZ87MpzpObOYe/bLdx999267DuLKisrB5LLgoKCIdeD9Pf3Z7T+hoYGJo4fPKoSXg4efpJ4+JqWyOmpaKMpiSQhdtNN8co5SW6s1/ucp5tAIDBsdx9WSmWGJxOcpUuX8vzzz9PV1TXo9Z/97Gds3Lgx7fW1t7cjIpSOHhl334DvDL767QNJybzpRbajKXZTTOHVUHbTSdaLka2vWV03d07U+uz46rcPJDn+2Ss50TluYLRAZUe2R84aGhoYM2ESRbOXDdytOBbrFNNHbhyf9PU0mb4LsnU6rJVeqqqGjlIppXKLJxOc1atXU1payp133smxY8fo6Ohg8+bNfOc732Ht2rVpr6+hoYEJ5VcBwVEPOwHfmUHJTbQl2DD4ephoj1KIFL4YOZzUWP9rdwGytb5Ywu1tfWMLH545lt27d8cto7yroaGB8aERHOvITXgF1fxv3cPDa28FoD7i5n6b9pwcGFVxcgHwcAknUZWM5MCBAxkfDVNKZZYnE5zRo0eza9cuAoEAS5YsoaKigieeeIK6ujoWLlyY9voaGxsHEhyr8PRU+AZ/1nvfOBEryYl3P5uw8GvzV3+D+au/YXudTeTUlnUFF0BR+3t0d7v/hm0qcxobG5laMbSvh4WnqaYsr2Xv/saBpCGc9ITFWjput38mRFuGXojQHTH6q5TKPZ64yNhOZWUlTz/99LDU9ftn1jLnuiurpqwrqKpnlANnBpIbu3vNRD4Wwe59JyuirHVYk53wz5ErrsJ1xLs78lsnfdw/J3OPjVCxLVu2jMOHDw/8/tRTTw163+66s3RqbGzk4MGDzLw2uIqqaPYysFxnE05uIDh6Y70Gpv7Fgzy89taBa3RiXR/z2UXXJPw4BrsLjT+76Jq4U1obmvew9/ZP2bbjY6tv5OihBgoKPPn9T6m84dkEZ7i0tLTw47qXePk/7x/yXvWM8oFpKYh+Iz2nj1ZI9uLhWPUe2fc618XYr6vXsK++nblz5yZdn8ptjz/+OKtWraKi/MpqwYqlS4bst3d/46DEobqkiL37G5n/rXuGTFvZcXK9jV2Ckkh5u5v6hR3wjeKaqbo0XKlcpwlOitavX8+tK25h8l99jr4Y+yXy2AUYmuzYrZoC+9GY8OvW16JNWSXqyL7XMcaw6f+6WbB4OZMmTUr6WCp3XbhwgY0bN7Jjx46B18LLwMMjN5GJTaSmnbuYsryWh5fXpvTATOsITayHb8ZbRm5n9f0fZuVPn+OF3S8l3T6llDtogpOi7du38/BXvzDwu3V6yjp6ExYtMYkl8iGbkceLd6zw+3arqmLVCdDVa/jR66M52DmNLevXJ9xm5S27d+9m7ty5XNf8BlQtG3g9vBQ88pqa6pIiPv3AzQMjNlOW11KxdAmdc/8Wf1871Uneo2bg2pxQghMcQbJPcJwef/b6r7Hy0Ud56LHvMkenYpXKeZrgpKiiooK29g7gSnJz/O3m0LU3QU6SGSsnozaJ7Gd935r0RO5nHUXafNxP29i57H1hMyUlJUlEobygoqKCtrY2YPBN/a7+0iMD0z3VJUUDoyYfuXH8oBvtPby8NpgM7dyFP4Hl5dF8c+0f2NC8B0KjNvff/FDSx7Jqo5dHHnmEuro6li5dmpZjKqWySxOcFE2cOJGGxnNDXo+8301YsslOIqxL1H3122NOTflnrwzub7Nf+Fqc199t5zf7z/DWW89ocpPnJk6cyNmzZ4e8bk12IkdMIn8Pj+aUfjn4EE47iSQs3//AzVHfizVlBfbTVgbDhb+ZzVcXL9bkRikPEWNMttsQl4i4v5HKzd41xkzJdiPi0X6u0iAn+rpSwyEnEpx0EZFXjTHzs92OdPBSLOC9eLLJa5+ll+LxUixKuZ3e6EEppZRSnqMJjlJKKaU8J98SnJ9kuwFp5KVYwHvxZJPXPksvxeOlWJRytby6BkcppZRS+SHfRnCUUkoplQc0wVFKKaWU52iCo5RSSinPyfkER0RWi0i9iLSLyE4RmRF6/QERORV6fYeIzLSUuVVEjopIh4j8WkSuCr1eICLPikiziHw1C7HcJyJnRaRVRLaJyMRY7XVzLHHisT1nbo8nm7zUz0Nt8Exf136ulDvldIIjItcC64F7gXHA88CvRGQB8BVgMVAOvAL8KFRmLPBL4AFgEiDAN0OHXA4cAq4BbhaR0mGMZRbwKLASuBpoA9bFaq9bYwm1LVo8tucsVMa18WSTl/p5qG2e6evaz5Vyr5xOcIC/Bv5ojPm9MeYy8H1gDmBCW/hZWz7gfOjn24HXjDFbjDEXgO8Cnwq9J6F9R4R+Hs4lZkuAbcaYV4wx7cAvgOvjtNetsUD0eGzPmYgEcHc82eSlfg7e6uvaz5VyqVxPcLYAX7L8fhNwCXgN2AocATqBfwS+HtpnNrDPUuYtYHzom9ILQA1wAnjBGNOR0dYPthH4IoCIlAOfAfbGaa9bY4Ho8UQ7Z624O55s8lI/B2/1de3nSrlUTj9N3BjTGP5ZRD4JPAU8CCwFPgHMA44C6wh+s/og4AfetRyjS0R6AX/oG9gdwxaAhTGmB0BEvkjwZmCdBIerVxOlvbg0llBbbOOJds6MMb0i4tp4sslL/TzUFs/0de3nSrlXro/gICIVIvIc8ATwBWPMkwTnwzcZY/aF/mA8CMwPDQ9fBIot5YsIJnoXhr/1QxljNgKjgX8h+C2wnejtdXUsMDQeESmMcs4gB+LJFq/1c/BWX9d+rpT75HSCIyIlwG6gGZhpjNkaeutSxK69QB9wGTgMzLK8VwMcDc2TZ42IPCQidwGE2rIBCACniN5eV8YCMeOpxP6cgYvjySYv9XPwVl/Xfq6Ue+V0gkNwvvusMeYfQt9gw7YBd4nIPBEpBtYCz4f+gGwBFovI4tBqhm8Dzw53w22cAx4UkWkiMgr4Z+BN4OdEb69bY4Ho8XwM+3MG7o4nm7zUz8FbfV37uVJuZYzJ2Q14Eugn+M3Vuk0GPg8cA1oIXog53lLu4wQv4msHngFGuiCWEcDjQEOozb8HpsdrrxtjiRVPrHPm5niy/Fl6pp/H6hvx2uzGeLSf66abezd92KZSSimlPCfXp6iUUkoppYbQBEcppZRSnqMJjlJKKaU8RxMcpZRSSnlOzt7JWETGAKvQJE0FdQK/MsZ0Z7sh6SYiHwWmZbsdyjVeMsa8me1GKOV2ObmKSkRmFFN2eELxTEbISEdlr67+gOP6JtVUOi5T9YFyx2XGjS9xXKakoMVxGQBpdv73sfPUfsdlGk+edFzmvff7nJdpMZxqM9S39FcaY845PoALiUhBaWlpn8/no6yszFHZqVOnOq4vmTIAVVVVjsuMGzfOcZlR/Z2Oy/SeOuK4TPuRo47LNB8667jM8ZOtjssA/Kn7IrPx8z/mnCR1AKXyRM6N4EyVBWYUfqqYTVXx9Y7LXz95nuMycz5yreMys+ZNdlymeobzpCjgO+O4DICv3nky1fpGg+MyR/Y1xt8pwmvHnA/CNLQKxy/00dlr3r937kg27OvK6T/+InLVqFGjWgGmTZuGiLNwamtrHde5cOFCx2UAZs2aFX+nCNXV1Y7L+Psi75cXX/cbOxyXadrp/M9i/QXnXxT3NiTXRcu6R/JHmpgnZWYfrT5jTH9SB1LK43JmekdE5GqpNec4zlQ+RDH+bDdJuUz1WB+rZhTy3NEe7qgpyr2hyRARmVZYWNhaXFyM3+93nNwobyuigBUER8CmUNwnIldluUlKuVJOJDgiMnIsk/q76GAKH2IEzqalVP4oLy7gc7OKeK2xj5snFxrJseygoqLCjBgx4nhZWRnFxcXxC6i8JAgfYizVlDCOolYRSW5+USkPc32CIyITSgh0FlPG1cyiwP1NVlk2aoRwZ00hXb2G2vKC/tDDKl1vzJgxpq2tjfLycoqKirLdHJUDplPCYgKUU/jO7TIhZ0ctlcqEXMgWvlRIMQEmI+TUl3GVRQUi3DJ5BG3dBuCT2W5PPCJS0draypgxY/D5fNlujsoh4xjJTYxhN+ez3RSlXCUXEpxHC/Bxmjfox/nqGpWfLvUYnj3Yw4yAD2BTttsTjzGmKRAIcP78ebq7PbfSXWXQ27SznxYu0ON8ZYNSHub6BMcY091s3pViyjjBn+nB+VJRlV/OXepn04FuFlzt48X6HjE5ci+EpqYm6e3tndzS0sKlS5ey3Rzlcv0YXuIC73GZ9+kuNca8l+02KeUmrk9wwk6bt2Q811LPX7hMcvd+Ud535Hwf/32kh6Yu3/XPHuzOuTlNY8x7PT09pZ2dnbS0tJAjuZkaZl308wfOUYTwDpcKjDEd2W6TUm6TMwkOwDvmZemkdfpp3uQiyd3/RXmTMYbdp3p55WwfDR2moqen52C225QsY0xHZ2enr6CggPPnz9PXp1Oz6oqL9LCNRmZQwl/MxZwZoVRquOXqnYz9V1HZMrKwlMICZ0vGx46vcFxfoMr5PXcCFc5vTeEvc778faQkN5Uh7c5Hs3ua6x2Xudjs/MLH5lbn/0M/2waBYuEvZ/uKjDE9jg/gUoFAwHR2djJ69GhH5Sornd99O5kyAIFAwHEZv9/5v6nCJE5rf7PzOwx3nnVepu30BcdlGpsvOy4DcLz3MjdTwW/MmZwboVRqOOVkggMgIj5gNs5HoT4B/Db9LcpqXVoPdBpjDmSiMdkmIlXAhCSKuvl8ubme4awrmXqOG2MuZqIxSnlJziY4yRKRV40x871Ul9aj7HjtfOm/XaWUEzl1DY5SSimlVCI0wVFKKaWU5+RjgvMTD9al9Sg7Xjtf+m9XKZWwvLsGRymllFLel48jOEoppZTyOM8nOCJyq4gcFZEOEfm1iNjeoEZEHhCRUyLSLiI7RGRmJuqx7H+9iHSJSELLfxM5vtM2pBqH0xiSqSvV85Jvon1eEvQfItIiImdE5J401TekD4jI10SkKbQ9moY6Uu7XCdQxKI50xxA65pBzk6nzopQieAdYr27AWOA8sDL082+AH9jstwA4C0wFRgLfA/433fVY9vcBewEDTEjH8Z22IdU4nMaQZEwpnZd822J9XsAXgDeAKuAGoAmYm2J9Q/oAcAtwCqgBJgPHgJUp1JFyv3YaR7pjiHVuMnFedNNNt+Dm9RGc24HXjDFbjDEXgO8Cn7LZr4/gH7cRod99BP+opruesK8AL6f5+E7bkGw9YU5jSKauVM9Lvon1ed0FrDPGnDbGvAn8Ergjxfrs+sBdwFPGmEPGmHeBDTjvh1bp6NfxRMaR7hgg+rnJxHlRSnHlH5tXzQb2WX5/CxgvIqXGmPbwi8aYV0VkK3Ak9NJl4MZ01wMgItcBnwc+CPxTGo+fcBtSjSPJGBzXlYbzklfifF6Rn/cB4KPJ1hWjD8wG/iuinjuTrYf09OuoosSR7hhinZuXSON5UUpd4fURHD9cefS4MaYL6A29PkBEbiF4y/R5wFXAz4FfZKCeAuCnwP3G2dN/Ezl+Qm1ItZ4UYkimrlTPS16J83kN+ryBNpz1DWs9sfpA2uqxO16S/dpWjDjSHUOsc5P2upRSQZ5IcETk6yLSG7kRHKEqtuxXFHot8sl4K4FNxph9oW+FDwLzRWTQUwTTUM8ags+RedFhiBcTOH4i+6SjnmRjSKauhM5LvonRD+8i+uc16PMGRhOnb8Sop4fofcBxPXGko19HE60vpzsGiNKXQ++luy6lFB5JcIwx3zbGjIjcgN3ALMuuNcBRY0zkY3wjH8ndS3DOfNB+aahnGXCniHSKSGfotXoR+XicEA8ncPxE9oknkWMkG0MydSV0XvJNjH74fsSu1s8r8vOuBV5Psp4tRO8DjuuJIx39Oppl2MQBTCe9MUD0vrw/A3UppcDzq6jKCV7It5jgCoztwFqb/RYDDQSHj4uBdcC2dNdjUy7RVVRxj59sG1I9RqIxJBlTSucl37ZYnxdwD7AHCBBc0fM+cG2a6rWuoroNOEpwVdAM4ASwLIVjp9yvncaR7hhinZtMnhfddMv3LesNyHiA8PHQH6h24BlgZOj1zwHHLPt9nuBy0BZgKzA+E/VElEk4ObA7vk0Mtm1INY50xZBkTCmdl3zbon1eBFftrCd4jcdJ4NNprHNQHwAeDiUl7wNfScPxU+7XTuNIdwzRzk0mz4tuuuX7po9qUEoppZTneOIaHKWUUkopK01wlFJKKeU5muAopZRSynM0wVFKKaWU52iCo5RSSinP0QRHKaWUUp6jCY5SSimlPEcTHKWUUkp5jiY4SimllPKc/wccukJOkyyq8AAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-1,1.1,0.125)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#dry_lon_lo, dry_lon_hi, dry_lat_lo, dry_lat_hi = -60,-50,-10,10\n", + "#wet_lon_lo, wet_lon_hi, wet_lat_lo, wet_lat_hi = -80,-75,-10,10\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-0.5,0.51,0.1)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "# levels = numpy.arange(-.75,.76,0.125)\n", + "# ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "# ax6.gridlines(ylocs=[0], color='0.25')\n", + "# ax6.coastlines(resolution='110m')\n", + "# contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + "# levels=levels, \\\n", + "# cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "# ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "# ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "# ax6.set_yticks([-20,-10,0,10])\n", + "# ax6.tick_params(labelsize=fontsize)\n", + "# ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "# ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "# title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "# ax6.text(s='mm', x=0.05, y=0.03, \\\n", + "# ha='left', va='bottom', \\\n", + "# fontsize=fontsize, \\\n", + "# transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "# bbox_position = ax6.get_position()\n", + "# cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "# cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "# #cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "# cbar_axes.tick_params(labelsize=fontsize)\n", + "# cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('figures/TEMF_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:27:35.195167Z", + "start_time": "2018-08-16T20:27:35.191410Z" + } + }, + "outputs": [], + "source": [ + "xlat_indices = (xlat>=-10) & (xlat<=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:32:08.805407Z", + "start_time": "2018-08-16T20:32:08.573834Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:6: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0,0.5,'mm day$^{\\\\,-1}$')" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.5,4))\n", + "ax = fig.add_subplot(111)\n", + "\n", + "lon_mean = numpy.nanmean(raintot_diffs_time_mean_landmask[xlat_indices[:,0],:]*24., axis=0)\n", + "lon_mean_smooth = pandas.Series(lon_mean).rolling(window=5, center=True).mean()\n", + "ax.plot(xlong[0,:]+360., lon_mean_smooth, c='firebrick')\n", + "ax.set_xlim(280,320)\n", + "ax.set_ylim(-1.25,1.25)\n", + "ax.axhline(0, c='0.1', ls='--')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s='TEMF days 2-10 precip. change', x=0, y=1.02, \\\n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.set_xlabel('longitude', fontsize=fontsize)\n", + "ax.set_ylabel('mm day$^{\\,-1}$', fontsize=fontsize)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## for cesm talk" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-15T03:08:31.076Z" + } + }, + "outputs": [], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(11,7))\n", + "fontsize = 18\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "levels = numpy.arange(-.75,.76,0.125)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['','',''])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['','',''])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['','',''])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['','',''])\n", + "\n", + "fig.tight_layout(h_pad=10)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='$\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='$\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='$\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='$\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='$\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='$\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/cesm_workshop_precip_lh_etc_maps.png', dpi=600, transparent=True, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot climatology of these variables" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-02T05:41:27.287058Z", + "start_time": "2018-07-02T05:41:19.109426Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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1dK+g8EDqh/pSlHuj2m29qKiI119/nc6dO7Nx40bddss9veZSYwROU/33GgeaauQZVGdPJVPbL4h27dpVW1+ysrJ45ZVXWLr4M/p1f4R+/fqRnZ3NP//8g6+vL6tWraq2vtyrFBUV8fDDD9/ublQ6g15czpxDCQbbYm44ApC452+GDh1qarcqY+vWrXSJ6kyPng9z5MgRPvzwQ/Ly8njiiSfo0qULNWEWZk3nbrX1c/+e0IkcfbLO7OeB+1rQrFmzautLamoqgwcP5pc/V+PzYCh9+/alqKiIdevW4enpydatW6utL/camZmZ/Oc//6Fjx46MHj26UtuuMQLnx1nbyEjJ1gkbkKeJWycX4u3tjY1N9Yy2rV69mtDQUPYeXsnr/+3Fn5u38Pjjj+Po6MhXX31F8+bNmTx5MuvWrWP//v3V0qd7jWPHjhEWFsbx48dvd1cqnz3LufrnL7qPGfnyU6yntzPeZOPv718t3UhKSmLgwIEMjB7AWzOn4uvvy65du3j66ae5cOECW7ZsITU1lQ8++IA///yT9PT0aunXvcbdbOt5mz+gICutxPY3HvTBz8+vWmbFSpLEzz//TGhoKNvi0wge8CpHtuzmqaeewsrKioULF3LfffcxYcIE1q1bx5EjR6q8T/caX3zxBX369GHr1q3Ex8dz+vTpSmu70gSOEOIfIcQDep8fEUKcEUJkCSF+FkK4KNuthBDfCyGShRBjytv+y0PGs3rOcR4ImW6wfdvuS1X2dHPixAm+++47wsPDEUIghKBXv4E4dwvH+ZlmTF/wHTHJ1+nQoQNRjzbil+Xf4+Gfgl/9XKZNGsLDXTvw5ptvWp5yK5mQkBD27dtHQEDAbTl+Vdr61q1bOfTtb3w0dyFaOy/mHEpgyZ9FXD10hKysrCp5qs3NzWX58uWMGzcOT09Pgls0JrhJQ2xcrdj47zrSszMYPHAYY8eOZdWqVfz3hedBwFuz3mDthtVMeXMSbdq04fz585Xet3ud22nrVX1PHzeoN+KHCcwK8QZg2VcHOH/gAr/99htdu3at9PMBOHToEN9++y2NGjXC3rsuTnUaEf3y69j3mYztQ6P4552J1Cqyp0WLFjTs0Zu1f23C+4EmWNepxbhZU2nfuRPvv/++5Z5eiYSFhdG9e3cAnJ2dycjIqLS2bznRnxDiEeAJYBjQVpKkXUIIN+Ac8F9gC7AQuCZJ0qtK/fuBecDPQH9JkkodbBVCSPn5+dja2uIR0ZbwIe66WJzru2PYuOIUZ84nYWVVeQ6ppUuXMnr0aLp27coPP/xgUObgPA63dja0D9/Csjk7cPPVoGnZjDrt7HH20ejq5abncvbzfYz671gmTZoEyO642NhYHB0dDYKiCwoKOHDgAOnp6WRkZHDjxg0KCgqIiYnBwcGB/fv3s3//fqZNm8aTTz5ZaedZFVy8eJEmTZpU+dh1+/bt2bZtW5n1Kiv5WVXbuhBCUmO73njjDXqv2sfJk/ITblFeDhfnD+HXrxbSo0ePWz0VHXFxcfTp0wchBEFBQUgtG3JfcC1y7e0R/o1Zd8iJR5pl8NkTz3Hl0lWeGfgUjz/xHyK7dMTBwUHnYXr2jU84/eP3nD17FicnJwoKCkhMTCQpKYmQkBADD+uVK1e4ePEiGRkZZGZmkpubS15eHocOHSI0NJSffvoJGxsbNmzYUGnnWVXcjbZeXff0jIwMXFxc8HlsBGnaCF1ZwckNtNPEsGXLlls5jRJ8+umnTJ8+naioKH7an0RAj34UZqXhVL8ZwsaW8wcuEBEQx7ZZk7H3qU+t1t1wCetA284hujZ2bTrF5cUT+WDaeEaMGIEkSWRkZBAbG4tWq8XPz09XNy8vjwMHDpCRkaG7pxcWFnL58mXc3d3Ztm0bhw4dYt68eXTr1q1Sz7W8PPXUU7i7u/PZZ58BkJCQgI+PD++//z6vvfYaADt37qRjx46kpKSg0WhKa+6W+Pjjj/n111/5+++/y/TeldfOK2Ncp73Sjr5B9wT2S5K0QunMbGAN8CogAGtlHwGUS2HZ2NjQvn17TmPHxmFrUEPAQl57g0LrU/zyyy/069evEk4Hzp8/z2uvvUav18M5hjsY6htysuYCE3HU2AFQK8IPx0YPk5YKkkMyGteLZKbVJz3OA9uWvkyeMoUZM2YgSRJCCPz8/EhLS2PWrFm88MILCCH48ssvGTZsGA899BAuLi7k5+ezbt06ANzd3bGzs6N169acOHGiUs6xJjBz5kzWrl2r+xwVFcWbb755+zpUTbbevXt33njjDVAePrx8NCTGg0fX/zJ9+nS6du2Kra1tpZzQyy+/TNP7mvDGzEl8f+EqAHlAV39blpy2BiAu2xkPLw+uXLrKnM9mAZBPAQ6Ai62G3y/vo0XfJzm8ah3u7u5YW1uTl5eHu7s7Dg4OBAcH88MPP+Dj40NqaiqtWrXC1dWVBg0aoNFo+OWXXwz6tGzZsjtexFc2d5itV4udazQamjZtSrKd4cQR60ad+Wf1FDZs2FBpnpz9+/czc+ZMtIPmcdCzNrZcwMGv5OwtOxc5uWatNo/i0aGPQRv7DqZi6+aDV9doXhw5ijFjxlBUVIS1tbXunv7RRx/x1FNPIYTggw8+YMKECXTu3BkXFxfS09PZtGkTAP7+/mg0GmrXrs2ZM2dum8CJjIxkwYIFus8bN25Eq9WyYcMGncDZtWsXERERtyxuzNl4QUEBTz/9NFqtljVr1lTq0OQtuzwkSXpDkqQXAP2FRZoDB/Q+HwV8hBAa4E8gBLgA/ClJUsmEH2bw8PAgO67QYNuJD97m0vkURo0aVWmKf8eOHVjXt+OSqz0a14uEjp5aok7dyOvs/PoI9913HwmH0ijKl/P0pMd5GPzNT6+L70NjCXjhVeoPeZV2HzzE9A8foPfE+5gxazyurq40bdqUyW+MZsLbnZk8MpCXoz15aaAXwXV9GDlyJNevX6ewsJCDBw/i5uZ2U+e0efNmQkNDGTlyJM7OzrRp04aVK1cSFhaGl5cXc+fOLVcdcyxatAgfHx88PDx0TwMqixcvJiAgACcnJ9q2bcvhw4fp378/U6ZM0dVZuHAhHTt2NNhv0qRJbNu2Tfe6zeKm2mw9Ly+PRo0a0aPWUdJ/GIdTYRJePhqCu/bgsmRPdHQ0+fn5ZTdUDrZt/4dBw5/DysqKAcH1ANh7zY3EnGwAJjyUTtDx7dxIz0aj0fD3n5sBWdgAfHbyOHsTZJt8dvFCpmxdyet//cLwvzYT8t5qnEcuJta7AfXr16dBgwYENQxEE9ER/8lLyH7mLRJ7jqfRoEk0btyYxx57DIDPP//8lmKNLLZ+a1TnPd3d3R0kiYLTf5N/+HeCwgMJbtWAuv3HMGDAAPbu3VsJZwTbt28nq044dp61gZIJBoPCAwkI8WHvZ/No1aoVGcd3IBUW6Mr1g6G1LSJp8s5aAqb8QuDU36g/fTX2wxeR3nokw8ZNwN3dnZCQEKbO+5j6oz4mrvsUzrR/hZjOo7F18+HVV18lJiaG3NxcTp48edP39MogMjKSo0eP6masbdy4kTFjxrB9+3bdPWbnzp0lskrfzPVjzsYXLVpEs2bNWLx4MU5OTpV6flUVmasFLqkfJEnKFUIUAFrFdflUWQ0IIYYCBlNGpkyZwtXhw9lnon5iYiJPPvkkX3/9tVkX/s8//8zZs2cJDQ0lKirKrCLdv38/9t71dV6YlCP5hI6eita3+Hp/jitMzbDi+KndBAR5QPYxsG2pK/dvLPdS61tfty2yTixNNbXwy3OgYyMvOs7vgXOyICYunaCACOzsir8OOzsbJo99kB+Wr6dRgD8xyek89thjPP/882X858xz4sQJXnzxReLj4+nSpQujRo1i8+bN5Obm0qJFC5YtW1ZmnaFDh+Lq6mrQ7tmzZxk3bhyrV6+mWbNmDBw4UFeWnp7OSy+9xM6dOwkJCWHSpElMnz6dfv36MXv2bGbMmAHA2rVreeKJJ2763G4jt2Trpuy8TZs2dOvWjZd6vEh25g3EJ1MZOGsCmU518Jg8j13vvkr//v1ZunSpyRvC1atXWbx4MVqtlj59+lC7dm2sra1L1EtISOBGdjZ1A4qHSgcE1yPKP5bor604f+IcG0P8yP/1B14fPx4bGxvmzZuPV2tZCCXm5BOT6UZMmqNu/+dDBRpbFwAyQzMAJ/jv89Rf/CYXzl0kpSiVeoF1yczPAPIZs84W38jHuZyRwvaT+/Hz8+Py5ct8+eWXZf3fS8Vi65VOldzT3377bUaNGkXc0aMAZBy/H01IWzSNWyM9+jI9evRg2bJldOrUqUR7kiSxZMkSYmNjad68OZ06dcLZuWQGcJDv6Y51Guk8NSpB4YG6bd6aFLztbdi1axeufrXJiTmHY93GJtuzsrVTcvgU06rl48DjtHA6S9LVOK5o22BlI3ta9x1MxdrBmTrPvcWXW5Zh51Of5OQkoqOj6dOnj4kjVA8hISF4enry77//0rlzZ/766y/++OMPVq1apRua2rlzJ4MHDy6x781cP6bYtm0bZ8+e1Xm3Pvroo0rL1l5VAicV0N31hBB2yrFSytuAJEkLkcd5EUJIABEREezcuZO5c+cSFBTEBx98wL///qvbJzExkREjRrBgwQIefvhhrKysKCoqYvXq1Xz77bf8vuEvnHxdSD15CStbGx7q2In58+fTtKk8CT0nJ4chQ4bw/c8/4hrai4PTncjJeguA2A3g13UibmG29Iw4irOzM24uRXz44YdkpErEfLESB+fGBA2TT1uXr8dFXh26qcYBv7xakAc+1mGQJ0fj+9QKo6HedRJfWBylX692LV5/Sb6wE5Oz+PjznYwYMYJvv/22vP9GA2rVqsXIkSMRQtCiRQsefPBBgoKCANBqtcTHx5erjrHR/vTTT/Tt25f27dsDMHXqVF38hJ2dHXv27CEkJISrV69iY2NDcnIyPXr04LnnniMmJgZPT0/++usv5s+fX6HzKU9MQjVwS7Zuys6trKyYP38+PXv2JCEhgS1btvBZvyF0eLobDwwZgv/sOWz7+CN69erF+vXrdbFnFy5c4Ntvv+W9j/9Hkw5t2ff7OkaPHo2vry+jR49m7NixOvfv2rVrGTp0KE3DQhFCcCTlPIk58hPb7BX2nD8RC+fPcj4+DjufKEZNf48+HVvR8P4wDl2XbxsxmRpi0hzxd82me71MvBwcaahtWHxyStJClUZN5LKM/Ew0NvLDxYSHzjN7kxanNk8S0HMQkiQRt/l3/tO3HycPHdDZXkWx2HqlUyX39E6dOrF7924++OADAgICeO+997jyz7e0nzQT12d6sNVew9NPP82yZcto27YtVlZWFBQUsGLFCr755hs27D2OtbOWG+cmImzt6RbVmY8//lj3PWZkZBAdHc3va9dj2/FlrLwN+6QveOLTXcmLS+eTTz7BoagAB3/zWcNVcdO+TpKJ0lq4uNciEDl+bttVT1q1rMW+g6k41m5InWfkeMy8pGt8vWwuVlbj+eijj8r7b6x0OnXqxM6dO6lbty6FhYU0adKEqKgoNm7cSHBwMHFxcSbXv7uZ68cU3333XaWfk0pVTRM/CehP9wgBzkiSlH2rDdva2jJp0iT69+/Prl27+Prrrw3KL1++TPfu3bG2tWHatGm0adOGvgOH89vvKdi5hZAdH482uDYhwx5nzzUbmoXdz/Lly4mLi6NHjx6s/Hc/tjYjSTn4ixJrU0zshlm698ezcrnvqRDGjRuni/rOyZqr8/LszcjVvUBeXkJdWgIUkWMCc9u9PJwZMSSMP9fefI4db29v3Q+clZUVWq3RYo5FReWqY8zVq1epV6+e7rPx8MKsWbMICAggOjqaY8eOAeDi4kKXLl1Yu3YtW7ZsoVGjRrdtVtQtUmW23qVLF55++mk+//xzTpw4wcVtx7i2dQN1axXw1MShbNiwAWtrawYMGMDQoUNpdl9Lfj18hPavjOHaiVM4u9ei+2vD6fzue8z76mtCuvfg4sWLfP/99wwaNIjZC99m7Z8riMuOZcyPVoz9ooCxXxQULxPhrAEfX+wbPYCztw8bT16gZ//iWAF/TQ6DwxJ5sakT7bybG4qbcjLmRysS4zPxUoLzhRD4PdSLWqH3M/zrJTf9v7MUNzUMAAAgAElEQVTYeqVTZXbu5OTE5MmTGTBgAAcOHGDqqOFsmzmJfQdTcQ5uTn6zrrRv3x4bR2emTZuGpm4jose/xT6Hxjg3DCcv6SqaJm2o/+J89lnVo3H4/axfv54rV64QFRXFqiPJ2PX6ACtvxRsTc7X4pYewssIm/Elee2s+dh2eIaKVZwkvjTHbrnqWeX7t6ySx72BqCe+RnWdtfHqOZNGy25s3LTIykl27drFx40ZdzFNUVBQbNmxg586dZuNvbub6qW6qyoOzApgrhOiAPFY7E/i+sg8ihKBhQzM31SKJt956S/fRpWEIObH7Obh7H//88w+jxryGVdFTIN2gT58+aDQaimo15MbV44D5nBMpR/IhAjZf9WPXrOUlyvUDjHVih4sGGZj1vTTqe1XY6JcZ4+OloUDKp5arI5EPPcL7779foSfc8gRv3UyAl4+PD5cvX9Z91n+/dOlSLl68yIULF7CxseHzzz/nxx9/BKBXr16sWbOGgICAmuiyV6kWW/fx8cHV1ZU967fh2jSCa9fhhdVryU5JJWbLWhxdbHjl58W4Z1zl82mfMKh3f/r06cPjzz2LR2wabd5cwImfFtE0IgIfrZa6r3yIZ3Nvk9+3p6cz6Ynp4CN7YDo9FIh/r3fx1+QQ6m+LlxKfE+YWpIvFMYc6y8pcveiHrYjJdACKOHSu+HnLJbgpf82Zg+NnC/ls7kyio6MrNEvSYuuVTrXd0xs0aEDahTNoLx3HtpY3te7vgVvr7ty4eJRPt53Du8cQ4lMcSDy1BS7v4PieHaxatYrX35pCwLD3cfANpN/rs5DO7ye7Xgds7pdnCeoEjb/5JX2s695Hw559DISNqWSE+w6m6uoYixxTXh11SQrVk6Pi4FOf/NQEbDS16NezB3PnzqV27doV+ZfdMpGRkUydOhU7Ozt69+4NyLP2jh07xvr1682u6l4deYpulSrx4EiSlAw8BywBrgAJwKxSd7pJ2rVrx5dffkndunUBORDZVK6QoryLHN13kNDQUIYNG0azho3Jy/lZV56ZmcmNqwdK7GdMyo4CNl/149IGbYmyqAWPEnOqlckylVi7nBIvKF3YqPXi7HOZ9emjzPioO3YuFwlvGcq4ceNueyrxPn368Ouvv7Jz505SU1N55513dGUFBQUUFhaSk5PD4cOH+fTTT8nPz0eSJB5//HE2bdrEqlWrbus49K1Qnbb+zTffEFyrDjOj+vBNvz4sjx7A3oX/I6JXd/qP6Emt86eZOmASY0eOYfr06bRs2ZJVS3/gwI8/YJt0lO5jXuSFlWuoN/0nNHUbMHuTlh0Jh00eKyjED62XFq2XFn/X4of0Jaet8XJwLJe4AVnYlFZvQHA9YtIcOXRO9uScOBZPYnwm9i0e4/53l+H71CRenDYH54AQg+Ho28W9auvVaec9evTgww8/JOnrCZyZ0Y/kT0egWTeHgozrZPp2JiHbm7zVkylKvcLZQ3to2LAho0ePxtVG4toP76Bpcj/5zZ6joOd8bFv2NRQ3ZaAGH+87mKp7mcNcmbHg0f+senLU14UjV2kw8XuCXlvEz4fTqRPUmGnTplFQUGDcbJUREhKCtbU1a9asISoqCgB7e3vatGnD0qVLzQqcmkClCRxJkupLkrRL7/MqSZICJUnSSJI0SJKkKlu4ZtCgQZw5c4bNmzcTFxfHokWL8Pf3x0bjhUuDSGo1bYmNfYHBSswPP/wwzvUqHsiUkzWXXeM/wS2seJquX9eJOnGjrnqeciRfN5MqM60+ezNydaugG1MekaNykSKu2Qp69mvKOx/1YPvmn+nXr1+lzaq5GcLCwpg3bx59+/alcePGPPLII7qygQMH4urqire3NyNGjGDevHmcPn2aTz75BG9vb8LCwnByciIkJKSUI9xZ3C5bDwwM5Pvvv2fPnj0kJydz+PBhekS05dsxUxnZpj+BDetjY2NNeHi4ztvh6+uLo8aJ5uHykIgqJFTWXdYwZp0tXj4aQpr6AOiGqDp2qkfHTvXYuOMGh85ZsfeaG/6aHGbv0RCXHVvufmfkZ+o8OepfFeNlKVSEtTXp+U441W9K/VEf49GhLw9EdmXnzp3lPm5VcC/Z+u2ycyGEHHgcF8f27duJi4tj/vz5FOz4mdzVUyg8txUrnyZo3LUGw4W9e/fGpWl7042a8toooicoPFD30h9GUkVIaeiLHH1RNH+1DduueurEjakhKpXLp69j6+qJbYve2HefyowFyxg0aFC1DvFERkbSqFEjfHx8dNu6du1KUVGRyfibmsItJ/qrDtQEaBVh//79TJkyhT/+2oJLUDBpJ48QExOjS8R09uxZ2rZtS1KSqSCxsgkdPZWeEUfZm5FLZlp9gBKeG7cwW90wlbpYqP5SE4BO9MhByIZl+qgiSF8kNdU44Jlly5tz/6Z1u8dva6DazTJs2DCCgoJ4/fXXq+wYlZXor6q5GTvPycnhyy+/ZOTIkUQPf5Yln3/HjBkzmDx5sq7OwIED2R0Ti++At0hOln+TQpt64O+aTUyaI8ePyTaalJQlD00he3CiH5ZFzfFjyQaiJzEplwkPpdPOu7nuGPrCJS47ltl7NCQm5dK9xY0Sbaj07+lFTJojiUlyn04ciwcgPTEdrZd8LXl6Oit5gDK5tnsLN/74HxdOHKl2N35lYLH1Ym7G1nfu3MmYMWPYd+YKdt71yDy+g9TUVF0g64EDB3jkkUdwfmoaTgGhOkGhemVKCIyYq+Bfx2DKuCkRYjylXB/9+sYCybiNssSSepxze06St/lDpgx7yiDMwkIx5bXzu1bgAOTn5zN27Fhq1arFq6++WiLfwPbt23n22WeJTehMXvZXFW7/gTkjiawTy+arfrrp5MaoIkfjehGgxGro+pgSOaqw8ctzKCFyVLGUdjyDmR9uZuXqTbRq1arC53E7yMvLIyUlhVatWvHvv/9W6RpLd/NNX2XlypVs3LiRRx991MCrAPL/etSoUaw5d51a3UcCcuxLlL8tiTnZLD7ixfFjyfLMqfg4AIIiw5nQK5eYG44s+bNILkMWPvP6FxmIGzAUOH/HnmL2CnuSkrLw9HSWhdPR05BllNw2qAFtIhuSGJ9ZLK6U4+Pji9ZLqxM4KodmjaB2xAP8+/mcSs+ZUVVYbL0kN2vrWVlZjB8/Xjcz0Hha+B9//MGQIUOIDx+FlcaToPBAXayM6m0xNVVcjY0xVWYOXV392B5zQ2H6HiT9Onrb9Y+VeWoP8WsWsOePFZU2Zfpuorx2XmMW27wZbG1tmT9/PtOnTzeZTOnBBx9k4sSJ4Ljppto/OF2+wapDUSDH6KgvKB6qijnViphTrVi5txmbr/rpZldB8YwrdaaV/ksVM/ozsIyxqWdP08Y+PBzVgYULF97UuVQ3//77L4GBgbzwwgvVtoDk3UzPnj353//+V0LcgDx9ee7cuaQe2UH2lVMA+Dtlo7F1wcvBkYjaKbJ3RRUXyB6e0FpaovxtiX7YShePA+Dl4GjQvn4gsYuthsfrtSK0qQeenvKPj6ensy5g2YD4OHZvPqMTT4AsgrIydX3RFzcAPg/24Oq/26nbqi3JycnUBCy2Xnk4OzvzySef8MYbb5jMefPII4/w4osvUnDgZ4Pt7eskGc6IMiFEypoxpVJi6Mq/TrFQ0X9vDnNiRw8Hv2AcfINofn97fvrpp3L1y0JJqmcJ7juYvn37Mn78ePJuoQ2tbzKXNmh1okadXp6yY5zyt6DElHO/rhPJ7JpOZJ1Y3RDXXi4aCB+VvRm5Jj0/+p6c6DH3M+BSHhOmjiUmJobXX38dR0dHioqKOH/+PPHx8djZ2dGyZctKS/N/K7Rv354bN27c7m7cM7i6uvLM44+y+spJHOs2JuaGI5n5GRxPTWfdIQ/Sjxanz9Q2a0RE7RTAVknad533XlBvFbk01Jpe8FMVOnMOJbB1SyKATuQEhfiR5KUlffd+w51UUaWIJ5wVQWMkiLw87UlMysW343+wahRJwtpF1AuLYO9fa2nSpAlCCK5fv87ly5e5fv06zZo1w9vbKOnJbcJi69VL3759+eyzz0hA9bIEAp7FHhozomLfwdRyDSWVC2ORU44ZXPrYaN2p/cwksjf9Q/9BI7h27RojR47E3t6ewsJCzp07R0JCAk5OTrRo0cJkIk8LFoGDo6MjhYWF2DuOIDf7s7J30ENN6mcOY1Gjj5xTZyKblaVW0uM8DDxB5xcUz1wJGubISuTsyBEu9iUEj07oBDgwaU4Un837nJmzZuDm7ogkSdzIysevtguF2UXEJ2bSsVMXunXrRu/evXWzzyzc/Xh5eZF3Uvbg7L3mRgv3RGJuOBoEHYMcGxPlLy+JsuLSdd7/PoOQpj5819vT5IwoF1uNTtwcSTkPFAcsG5Me1ADOn9Xl2FHx9HSWh7O8tAbb1Bw5iUm5uvdCCJr9dzTXNvxMizYPIhUW4FIngJTTR3Gu24AiG0dyY89j6+rJkCf/Q69evejUqZPBgp8W7l7c3d25evUqtoX5CGszD3OK0HhyULhuk37MjjmRU1qMTYl6+qLGWNiYEDrnD1wo0U6DhzpwztaBsbM+Y8z4CQgnd6TCfCjMR7j4QF4WUnYqjz3ShR49etCrVy+DBT/vde7qGJzysHz5cv47djBpF8xPBzSFg/M4Vn+TzOzkeMPZUya8Neb2d2tng1uYLf6N95XZRujoqbrlH1RKi+cpLCgiNT6Lfy+k4NbYgwe85CfpekWCk0cTOLDnGof+vUY9Hx8+//r7Gh0pXxZ3e1xCefEMqIOmx1icg1sQ2tSDng1jimNsNsspEoIiw1k+RJ75seLSddYdcsLL056I2im6tapKm/a9I+Ew6y7L5Rt33NC1i4+v7MVR43H0Ucq8fDQ6T42+6NIfplK3qwHLnp7OFGSmkht/CSsHJ+rdF05ifCZSUSE5Mecg5gixuzZSkBLH6BeH8fbbb2NnZ3cL/8U7G4uty+uBDX3jQ+wekheLLBFjoxdcrA5LLfvqgK6ucXCyMcaBxbptSru3irmgaKmwACkjHikrCSvfUJ14k7LTKEo4TeG1gxTFHEa4+rPvj58JDw8v0fbdQnWuJl6jadmyJdnJFU/GufqbZDbmpeqGl/RxcB5XqshxcB5n4P0x1YYxKUfy0frWJ7JObAkPjv6wlrr9QHY+aO3wauFjUGcvQKCWB5t7MXjU/ZzfFk/PR7vxzuy5DBs2rEYkb7Jwc3Ru0471Vy6T7doAkL2F/k7ZePl4cF4J6p3QK5fM/Axm79Fw/FgRoU3t6dkwhs5+chbY0sTN75f3EXPDEX9NjpK8jxKBxZ6eztCsUQmRI8fhyE+eXp4lhbuxsAF5tlX60dOKJ8gbravWICsyfvdBq/uo95/nyEmK49NFM9mxowvLli3D19dETJCFu4KWLVsiZZUSn6WIEFOBxRUZniotAPlWMNcHER+HAKjdwnC7oyvWAa2xDmiNVFhA0aV/ua9tR75d/DnPPvtslfSxpnDPC5zAwEBqObgiNe9D4rayh6iiFjzKc36ubMxMZfPVYlegW5itzgNTlgcnJ2sux98v/ix7c/J1uXXktiYatKnPc37F63sY59YxFcNjCl29Vm5MavgQ82a+xaFDh0qsjmzh7qFt27a4nzrFb3rbYm7IQls3Y8mhiCWnrUlMyiUpKYuI2lY6cWOKHQmH5UU3bzgSk1kcyB+T5khSUqLuc1CIIl58NPKQk6dzsXdHQRUvifGZTOiVy8oz/rop5MZTzA2Ij9MNd6n1jIOTHTx9qfv8DE5uXELr1q1Zv369bg06C3cXLVu2xCE/laK8Gwg7eSKIsZAJCg8sNTeNMfoZiE0ORxlhdmq6CW4p7sfIaySsbbAOaodwr8fA4aM5duwYM2fOvLm27wLueYETGxvL9cwUCsohbkJHTyXC5SifnCy+katxMylH8g3WqqoIOVlzSdkxziB5YEBXOR+J1rf4GBrXizTVuOKX54CPdRjxhUf4JiPNwAOkTkcvD6rIidDa0/PN1nwzfgnBwcEMHz7c7ErrFmouBw8e5M80LdQCf9dsvBxs2Zsge1r69/QiwjuFxBxZnCTGJzP6GRfdsBQUe28y8jMNFueUxY3cjrqyuCpMCGoAFAsOdQgqtKkHXj4dTHpmAPYmuPFhRxfAhVe3ZnDCxPlovbSkgyxw4uNI1xM6+qjH9vbTIh5+niRbB0aOHMm7775LmzZtKvZPtHDHc/r0abJxwN7WfF4xk+iJBVPeGePp5iUwsW9ZOXaM65VL6JQjK7NVrTrYdZvCnP+9Qd26dRk0aBAODhX8f9wF3NXTxMtDZmYmRQWmA9EemDPS4PPEyLOs3NtMFxCsCo/zC7JvWtyoBA1zxL/xPrS+ybq8OerLv/E+XYCxPrF2Obp1r9SXKnaM65Y2DLY3I5fD+YVEDQln0ZdzDNLPW7h7OJGZTMb+9TRuWIvu9TI5dN2GmDRHBrdNJibNkZVn/OUhJtdsJvTKLSFuYrPjOJN+hr9jTxmIm9LQemlpE9mQ7i1u0CK4ODOrfpyNfjwNyFPUx7cwPQNKTUSoIz6uxDBYemK6wdRz9ThenvaENvWg3eBBnHOuS/uoR0hLSyu1/xZqHtnZ2VCQS9HlvQZxNqYICg8sXnjTTPxMeaeP69pT0J9OXt7gZFOLgOq2VxBh54xVq4GMnPIu//vf/yq8/93APe/B8fDwoLaPB1euGE7jDB09lfTitCA4OI/jm9jjutlNaoDw8fcrL9NkhIs9uJiPsdENK2kglj1ml37Qb0/dR/XsZKbVN+vlCQzzoU2QB2+PX8D06dPv6mDMe5HHWtzPmRNxePtqANkuEpNyiantqFtvKibTAX9NjsGwlIuthjPpZ9gYow6Xli5qVNQkfV6e9uy9JntuvJRlebw87XWxNsePGe4nT1F30c3O0l8LS6s3y8pA7GRlyjOz1BlaQJIy7KYiH98eG0cntA/9l/SYGJYsWcJLL71UrvOxUDPw8fHBx92FFCd33TazgcEm0BcdNytujD+bG9bSnzml648poVVaEsFSxJl1nXCEsycfffQRY8eOrdCCtXcD97zAGTVqFFeuXCmx3b/xPjLT6uPXdSIAc166xKzNrYDim21lipuUI/nsbSwLG31homIuV47+1HL9usYrmKuUNYTl5aOhSZMmbNq0yWTSOAs1k7179zJj3nxavb2U2m7F9uPlaY+/UzJ7r7mx+pejurw0MZMciG4kTxWPy5YX2QTDXBv+GtMCWx2eUoeGtm4pXnE7US8zsXE91dOy95obA4LhTPoZuS9phsOlanZkgyEqE6QfPQ3NGpWYbg6y10gEtWP58uUWgXMXIUkSgwcPJtn7AWy85OFR4yGlEhmIwaxA0F813BzmBFN5g5BLJA28GUoROVZuddFoNOzdu5f777//5tqvodxbck6P3377jf79+7Ns5Z8my7eNDmXX+E8I6JrOnJcu8clJN1KO5OPWTtaEKTsKcHAeVyl9UduJOWV6mQVV3KgZkTPT6uteKqaCkQGdYFJf5rar62T55TnQu3dvli9fXinnZuH2kpiYyOjRo+n06OMEP/MqdRrWUWJt8vF3ypbXo7qhrAd1/qxuuGfh4nNEf53L7D0aRdyURDdTytyx4zNL5NjRx9RsKYDjx5J5dWsG0V/nEv11LoPDioOV9T0yJTw4xktBGAUeG/fFrn5L9u/fT2JiIhZqPt999x29e/fmz+2HsW7aw6BMXUyzBHo5aszVKW1F8dIoT8xNhbiFKej36j39nhQ4Z8+eZejQofz0008U3rheotx4mvc3sWklFtLUr3uzODiPM9hf65ts4J1RRUx6nIecKflIvm7pB+PEgGqAsvEK5sYYCx0VdV2rWLscfJx2s2LFCgoLC2/63CzcGbzyyit8+scBbDsNo+l/euqCi70cZHuJ8E4hJtNBt9ClitZLq/OsxKQ5lnipxGQ6lBA65oSLvjgBJdBZGary8rQ3mPmkLgAK8orn+vvqLwqqw1lT/ALdWlbm8PR0RtjaQ/1wVq5cabaehZrBgQMHGDt2LKtPgF3YswgrmzLjb8ytA2UK/ZXCy0tVTSM3SRni57391vz666/UhLx3lck9OUS1d+9e0gvNL9SnL240rhfZNjqUnCw5iNhY0JQnqV9ZxzFuc29Grs6bI3tmDGdoxW6Ql3rQn3VVGqp4KS1m51hmjq6eqGuHi1MBU6ZMYdSoUTVy5WYL8sKEv2/ZhVOXkdj6N0YIQYR3Cl4O8g9/Yk4+exPc+HFloiwYFHGgVYZ1bhXjqdrqNlMCSI6zcdSLy0nW1d+4I1PnhTGYbaW3MCcos6qUvDjmxI06VKW+EjK68sr02fj7+9O9e/ebPVULt5ldu3aRUFALO7/wEiuEm1tIU6WyhEh5pnubm25e5uwpdQjKeB2rcnp1hFsAZ2NTmDlzJkOGDLljljGpau65TMYpKSm4e7hDGc35dZ1I076HFXFz8yKmvPh1nUhA13Q0rhd1XpvyZEfWTxqo9S1+6tW4XtQNO5WFKeGTcDmNIytP4+vRssY/4d6r2V1HjBjBV7/8jqbPW/g0CCaqnRPd68nDNIeu27DukBMnjsUXr+KtCAN1mQVznhjAIPBXnxLTxBW8PO2LA5n1PEDqNv3kgDFpjgb7q6uN66Prc1ambiq67rOzBm2zRiX6pi/aVPFVVFBA+q4VnPhhAQd27SA0NNTsOdcE7kVbv3jxIoGBgdgERmET0MFA4FSXuCkP+t4kU56gUkWOsZip4NpWAEXJFyg4spIBUS355ptvyr3fncgdsZq4EOIRIcQZIUSWEOJnIYSLEMJKCPG9ECJZCDGmKo9vzIkTJ3j++eexdig9aOyBOSMJ6JpeIXFzq0NVqjdGX9yoq5KX1oecrLmcX5BtNganrJlWIHt49IXQ3oxcvOu50vXRRlw7d6yUPS3AnWfn2dnZfPzxxyxa+iNu7Z+k2YMtiGrnpAsaXndZw/vfZ7B785nioR5F3Nys58Z46ErFy9OeFsFFysyoUvY3yqOjL668fDQl+qX10sqeG1XclAN9kaTG41jZ2JDfsBv2XnVITb25WIt7iTvN1g8ePMiQIUMQTl5Yt+5tcgmGO0Hc6GNumMtsnBCUawXysrDyCMQ6uAPf/nX4pvaviVSZwBFCuAE/AOOAOoAA3ga6AieAusBDQohqySjXrVs3WrcNZ9PxdAqzTRuYX9eJRC14lEsbtByc7lQhcXMrXh7VA2McVwPlGwJT6+jvay4GpzRUofOcnysNbG34fekRuj/xdIXauNe40+z8t99+o06dOkz74kcChr1H494DaBFcRHSjQhJzsll8xIuFM7fLQznnz+qGeXSZjI2GlRKTckt4Y1RMeWJU1Lgaf9dsnXdGFUH+rnJwc0TtlBIzsdQyY1SRoy90SgxDqYLHRLI/laSkLN1LDYK+unUd2txUGjQov1i6F7mTbL2goIAHH3yQ8Had2XzdE7ueMxA29iXXnTJDdYubW5luXgJV7FQw6FjKu0HBkZXMeW1AhfaryVRlDE5PYL8kSSsAhBCzgTXAeuT5pjbIF0i1jJEdPHgQv95DOPvVxybLH5gzEo3rYYN4m/JyK+LGwXkcWt9kA3Gi9U0m5Yj5AElTbaio7egPV6n45TkQa5dj8NkUhYVFTJvzD4E+dXnrrcqbCn+XckfZ+cWLF7ELa0/jwVPkeBNPe6IbZerEzepPNhZXVmNuzHhuDIaJlBwyIIsQVdyY8troY6pcFTlqzh2DtatKwctHQ2J8pm6auNr3EgHHZaBf3+H6SbI2fcG2HVvumbiEW+COsXUrKyv279+P/aPvIuxlO75TxQ1UfCZWmfE8FRU3hfnkbf0YK++GjB49ukL71mSqUuA0B/QXmzkK+AA7gEHABeAtSZJKWWSmcli7di1phTnEmxE3E77vTVNNCuM/al5ucVOa16a04Srjfdza2RjE27iF2ZIe54FbmFyesqP83iHjNkDOm6NO/4ZikWNO3ADk5BZw5nwSAW3qMWX4k4R37Y+Pjw/+/v4EBwdbFuQ05I6x88LCQuYu+AS3LoMAWRD0bBiDxrY2G2Py5Tw36lRqZ02JYSlTQcGmMCVa9MWQuhxDcZnqKM4tEdejL3LUz/rtmGq/PKQnppc6i4r4OPDSkn35OPaubjw+YwFTu0fISeJ8fGjYsCEuLi4VOuY9wB1j6z/++CO5jj7Y2RVPFilvvprbjX6gcbWRdwMp9Sq4B2B3/0B+eL0XPj4+1KlTh8DAO+P/UhVUWZCxEGIRcEmSpBl62/KBAEmSYsqx/1BgqPKx1dChQ0urXionTpyg0NGW3OSSadkdfPyo55xHulRI3IVbNzph5VNim43GvCCwdixZVpgtUZApfy9SUXyJclPHM3UMa0eBtU0BLnb5OFpbYVtUtjDJt5KPm59fSGZGHlKBRGFhEQWFReTmFhISEoKNjQ1WVlZYW5vOj3KnsXDhwioLvLyT7DwlJYUrsbE41w5EALbWRbjaF2FnZUNqXgEx125AkbJcgp099o5y3JeNTflHqm1LqZtfUGS2TH9/W+vierbWRdhaSeTr2WZ+oZXp90r7BUZ/VQrzDdMaWNtaG5RZ21oX1ynIx9rRAY3GjqzkZApzc5GKCrG2KqIoPw9bB0eaNmxAbm5ujVrD516x9SNHjpBv7w62sgi2d7LHyVH+vlOSb5Sob+9kPmC+Msi9YSjAzR1P7eON7PKl4DBu95YozEfKzQKpCIoKEaIIKS+XsLBmALr7ek2gvHZelQJnLpAnSdJk5bMdcn54J0mSTE/BMN/WTUfcHzp0iPYd2lB38DhOfDijRPkDc0YyIyibKecd2TX+k5s6hoo5z42aHFD3WQkoNhUYrK4gnrKjACh7+Es9pvExVNSZWfqJ/EpDfwjLmHfH/0WjYA8274wjPz+fFi1a0L17d5544glCQkJKbfd2UpUzS+4UO8/NzSW8WxcK6negRbkYuogAACAASURBVD85biqidgpR/rYk5mQze5OW3T/9o/PgaNvcZzLmpixKm1lVlpdFf4hLxV+Tg79TtsGaVvpeHH1vkfHMKihjlXE9VI9O+tHT8gYfX4JC/HTDXudPxOq8WcEcYM83X2NlY0Pulcs4ODjQrVs3Hn30Ubp3735HC557wda3bNnCQ4/2xa7nbETsNYPAYlPDU9XluTG1HIQxZS7YWUa7lU3umjew8muGNn4P+fn5tG7dWndPv5Nj0spr51U5RHUSecxWJQQ4U9EL4VaIiYmhTZs2RD4bwhUTytTBeRwjm1wjFkiPq2NSoJRneEhfZKjCpCzMzXpStwcNc1SEjukhqrKEjUp6nAcaV3l5h9KmjJcmbFSEo+DvnRcY80Yn/OtoOXk0gb3bv+P9ee8QGBRKdHQ0/fv3x8vLq8y27iJuu50DDB8+nKtX0gh7sjOJSbm0CC6ihXsBGlt3lpy2NhA3OGsMxE1FhoJMTf+uKGoMDpSdDVk/3scU6vCaKnTU+BpTsTk6caOHfoLD9MR00hPTsfF2JO7oETw69cPq4TdJPHeGny6e4ofxb+Pwwgv07duX6Oho2rVrd68N1952Wz9x4gTdu3fHpuWzsrhRUIVDVYqBsiiPkLqZoany5NepEPqzsKztKbqyn6zIMQhnd7bFn2TrorWMnzqDdvc1Izo6mn79+uHm5lZ5x69GqlLgrADmCiE6II/VzgS+r8LjlcDT0xMrKyvywn3l0WEjXl10jpaFHfgu+x/dMgzlFSjGqELDlOAw5bFRPTWltqlL5DfRoF/mPELGGAcaH8vMAY1hcLG+sNGfUm5KDPV+pjmJDlZkeThxJr+A5q38ad7Kn15DmhO3P4U/fvmGKZMn06dvXxYtWlRjhrBukdtu5wB+fn44BEdg6yLf6A+ds6J7PcjMz5DXctJfxkBvlpGxQDGOnymLisbGqKiiRQ02VjG1vpUqckz1TX8lcpPeHCW/j35SQFX8GIgivfI8bSCufaeRpW2EVljR4IH7SEpqDBE9KUxP4rvjm1n8+NPUr2XHd999R5s2bW7qf1ADue227ufnh7W1NUX120Bs8aiYuTWj7pS4m2qltDW2jKaY29Z7COHkgcgqBFd7rGu3wLp2C2xaPc2e2GPsmvkFw196jZdHDOHDDz+scYK+ygSOJEnJQojngCWAF7AMqNj0pFvEzs6OevXqkRWbiSRJhI6eWmKBzPjCIyWmU1dkVpTqSVEFiL740A03mREy5kSOvmAxJ15MbTdO9AfKCuUUJ/wzJW6Mc+UYixtdeW0NWqPtTTUOWFlb4d/ag9da1OaNvL68/tHvjB8/nnnz5pns+93EnWDnAI0aNSJnzXYAEuIyEEKQmJOPl4Pi/XAuHooyFXxbXqFiLIhudj8VfaED5j06+iJHd2yjtaU8PZ0NvDZaLy2o52q8CrkSZFyiHnDx7HXQNiquq0dWrh0EP4yNcxiX4w7Tu3dvdu3aRd26dc2f/F3CnWDrrq6uODs7k5KVDH61a9wPbrVgboaVifw5VrUCDMuVfYWVjU7sSHlZfPTtB3h5eTFlypSq6HGVUaVLNUiStApYVZXHKI0zZ85w6tQpZlvV58PfP6Ld4004Xo799GdI3exsKTAfY2P82bhe+T07Jb00hsIGA2HTpc9i/vp1MGBe3JjbVl4y7c4w4bkonnj5XaKjo/nrr79IT08nKiqKNm3aYGtbvuUlahK3284BVq5ciVZjS/quFcT8tY4Wkz5HDo8oiTo8VZ7hJVVEGK8ADsW5boy3G+9j0J7R/irGQqe8U8eN16jSz+ejZkAuIXoAfHwNZloZzLrSX51cqaePuoq5tRDEpZziq6++olmzZuzevZtmzZrRtWtXfH3N5+KpydxuW9+zZw9JSUlYZ10nb8tH2LR6mobd5YU1q31mEqbjbs4fuFBtnqPs7/6L47Nflq+yKnwqmChQ2Dlje/9A3njnPXr06MHGjRvJy8sjKiqKiIgIbGzu3BWf7vqlGpYsWcKLI0agdbYnudCVvOsXdWXy9HAHvolN49gvzXXby8oerE95Y2FAFiaqINHPV6OfA0d/qrc5Uo7kG7SlihrAYCFNY6+NqTibWxEz+sdQ8ctzYPf+K0yeuYHavlraNW+KxtmR/afjuHDlKpGRkXTt2pXmzZuTn59Pbm4uubm5NG/enODg4FvqiznuhfT1165d49lnn2XX/gMUFhTQfOLnvDPIn8ScfBbv9GD35jO6H+6gyHCTAqeiw01liRt9D0tZwczGfTFO9qe/BIS54/6fvTMPj6q6//B7skCWSSAkISTsIApERCQq+hMBCy61Lq27VXGtWrBuRUELbnUpIJUqdasLWrUubV0r7oiIokFACIuyL1kIEJJMyJ77+2PmTM7cuXfmzmQmmQz3fZ55mNzl3HMnhzuffNct60uA1ro+/gKQvUSLKmj0GBQNVEVR43t3o1WWQvbhiOzDyEiooHJDIUMHDuDUU09lwoQJpKametZ5UlISv/jFLyLmvo31ta5pGk8++SRTb76FBEcGyf2H0+eyWR0SYBwoLiac145YDI4eE+tP89ZvafzmWUR6LnG9hkFcAgkHNpFSX8GECRM49dRTGTZsGA0NDTQ0NFBfX09BQUHELJtW13nMCxyArVu3MnZMAbv3tHYOH37bLGaM3wS4uoUXbxztZTkJVuRknJjgE2vjT6ToLS/6Csb+jq8qzTTsO2WEKkDUhprqtmAJ1N+qqbGZqqp68tN6AJAT7yrqs7/SyfIff2LZqo1sLy6nS2ICad17kZCYwHc/rOTyyZOZNWsWPXr0CHpO/oj1h76kubmZmTNn8sJ773P+gie5crjgpZ/i+XTZQbYsdpcvUbKHwiFw9Ofo3UY+55gIHfMGnK2YBRuX76336VcVqOWEFEOAf4EDPiJHdfENyotj8856qve75jpoWC5ZWUlUb13P/rXLqdywkoR4jbiEBOITu1C7v5wEmvjXU0/yi1/8wv91Q+BQWevr1q1j5Aknk3fxDBxDjmlXgROM2IiUwDKag+XmnWYCx0/xQK25ERpqEMndvVxZfQen07N+PcUrvqV08w7qa5tIyUgHEUft9nXccfMUpk+fTnq69cK1VoiGLKqoYP/+/fzud79DOzwVFIGTd8QKoBtFzjqclQMAX3dRsC0Y9EHEweBPwECrlcZZOcDQchNsWwZJviPJksgprK7327xTH6DcIzMFGryP6dHNwRljj+GMscd4be+bfzrl+/bx8N8eZ+jQocyYMYOpU6fGpDsrkrz22mv84x//YPQjL9KnexPrDtRSXJnH3r3lIY8ZjBVGHmMmcqQAMRtHtc5IjNpBmDX0tJr2Xl7m9LLC+FhpdC4qM7KyUtlSXOMSN1tcfyxtKSuF8aMgbSADzh3hOVbel6ZpHFz5P35zxWTGjjqauXPnMnTo0IBztmmltLSUa6+9lm6jJuIY4nqWtMU9FUgsWMEs00luC7fQkdczG9ev2AmyCjKAiE8EKW7AI3J2bq5iJ70h5zwGne6aUz/3tRsPlPP3Rc/zwgtHcO+993Lttde2e+JJ56jqEyJr167lmJEjyUgupaXrpZ7tSanTKEjrSpGzzkcYSGFi5HJKSp1m+DJzT215utZvI8xAOLpt87wAjxALN1Y6jhsRqKaOpKx5DWXNa3y2980/3fM+OzOTeffdy3sLn+eDDz7gjDPOoLLStzCjjS8tLS1c8rsLmTpjBkff9ySHD80kL6WWwj0ZrSIgp5fny9rTh0nXikFPIGuMkSDRn5Od4/Dtb+XuAQUmbi53/6vVm+O8emHJXlZG/bGsuMDUmCFp4UnPTveIHc97+Vm5M66MgrJlx3UjPNYyHXndajm2zwGGTDiFy155jcpBgzn55JN5770ODd/qVHz33Xf0HTqC7509ceZNbPN4wVhjVLGiCgj53l+zTHluOF1NVkVTxNx0AWJ5xowfQu+L7yT5ont56aWXOO+88zh40LcIYySJWYGjaRpXXXUVl585husnH8eBb1urnkpBUlhdH1A0yBgbo4DijBMTvFxTnu1uS5Bq/ZHZVFLsmLmkHN22ua1LrTgrB4Qsbgqr6z2vcFDkrPOy1kiRY0UkqSJHihtV5AAMPeww3nhiPoN65XDi8cexa1donXMPJf773//y3dc/cPE/XmDYSN+/znzqwSg/ByzO5xYogawufgsAmgglKbJUweNvPv4af/rMWxE0+rkNz88kO8fBsPwcTwPPQcNyGZafw7D8HL8tHuS+8jInw/MzW48fdJgrU63GCTVOj4iUc1HJc9TRr0cLvc64hgkPPcIlV13Nk08+aem+DmVaWlq47LLLyPnVjSSMOBsh4rwEQ1vFgxQoRoIg0NhWBEy4RM6WlVuDHsNvp/JgyOvT+gIvkWNkURp9dHeS+xxOxVn3sHjnQbKGFVBeHrpFOVhiVuB8++23VFRUcOst9wLeqd8Vy5rIdyRRkNbVYyFJ77XP81KtOBknJlgKJM4Ykeh5yUrEgbKszJBixoqwUY8xOt7KGEYuKtlZHFqF4OJduV7H6IOW1XOM9lslPj6e2bP+xCXnnsOYY4/lm2++CWmcQ4X58+dz8U2XMjA3kTxHHQU9Kzz7/LmLvNxPBkJAFTWqCNHjT3jI2Ji9e2uMG3oGsBKp1/C7v8zpiSsyE1tqTI88Rr3H7KyujBzc4hE8UvScPK4fx48f4iV8pLtNFgr07Et1wKDDGJaf4zW27Kqun09L7wLO+/tT3PXww9xxxx3U1ES8jVOnZdGiRaSnp5M+crxnW6AvbSuBwFa+/I2OUbOmrFwrmHn5Oy8cYiUsgkcVOnj/LvQ1iURCInkXTyd1yGh6DzuaVatWte3aFonZGJykpCTq6upobGoiJ36EVzyNkVDxjXFRGmAaFe9TtqlBxVLcyKKB0sKjHqNmTunjbZyVA7xia/TixGyf/r2j2za/wiZQ3I2631k5wDNPGYsD/l1UZvvKmtd4go79IYTgpmuupm9eHhddcD4ZmVlMmjSJ9PR0hg0bxvnnn2/XwHCTnJxMTXUNY3s0UV7X6g51xaroTMLu+BJpw8nOcXisMGZuKsN0b5Pt/mJwAmF0XiDXk5q1FWxVZaPjiyuTGZ7vHfdTXImni7k6L/l5eRUKxLjOkGe8FHcc0cHkVsHTrQ8XPPUs//nLwzzbpw9nnXUW/fr1Iz09ncsvv5zc3FzT8Q4lkpOTqa6u5tij0hDC+pdze6ZtR4pwubb0qez6z8UsHimY6+vFjQwAF0LQ8/Sr6ZKZy7HjJjLqiEGMHz8eh8PB0Ucfzdlnn20yYujEdBbVOeecw4lHHckNV1zO+V/8kU+v/wBwZVCdXbCWx65zpSUPuj6ZvCNWUJDW1WOtkAJEpmSDK6YGfIv5qagCx2i/Png4GFRxA+YxOUYxO/4yrQIhPxO1xo6VvlZGSHGjd035o6Wlha+Wf8fKNWuoqa3lvY8+5sJLf8t9991n6fxYzyxZtmwZ5198Hg8ueoY9Ta4v17yUWt79OY/yvfWsLyrzfDl7ZQ+BV92YUFHFTqjixgpGsTzqvkACRx+k7DWWLp6ooLfLCiZr8azeHOex1mRlpTI83/V8WPLlDh+BI9PwPXPL6kpet1ovy5qK7MNV7EzCUbubdV8spaaikt07yile8R0bVq4mJ8c85kcllte6pmmMGzeOw848gabRF/sEFqsxMuEIHA5EOEVHIBFmpc9VONHPx8q9yuMDdXVfseoAWkszNT+tIJPd7NxWQeWqz5n9p2nccsstluZnp4kDTz75JK+9tJD3XnqRnUWLOPXvezz71DTwpNRpDLo+mfRe+xjfp8QwNqeqNDNg+re/isX6ejfBCh29uAG8hJg+s8rI8tMWgSNRM6naS+Do2bF7NyeffQ77DlRZ6n4byw99gLq6Ovr178vdz91Lj6GttYQK92R4vswLeldQ7EzyfFGrPZuk+FGtL6EInkDZU5JAKdxm6EWUnG8w1ptAva38FRpcvbl1rckYHHCJHGiNbZJp+CojB7d4BE7xwWSPJceM4oPJFDuT+PKBu5h63iVce+21Vm4v5tf6Qw89xL+//JD8aX/zCBx/4iBSwsAoHT1UwWNV4ESDFcrfPVoVOEZ8/UEhO1++l4a9uwMfjJ0mDsCcOXP4xQljaGxspG/+6cy+6QEuP/tVw/RvlzjJpNAtBArZ5tmnppFbwag6caA6N/4I5G5S0VttrGAWgCwFkVHxwI6kX+/edE9PZfXq1YwaNaqjp9PhLFy4kObmFk4eWEBL92bWHaii+GCy6wvV/aWanZTIyB5OwEF5mbfAkPExbbG+GKWT62vTtBWj+UmREQp6sWMUJ6MycrArUUFfdfnkcf1c8/Pj4iuuTKbY3TndjOHd0ymvk/td/2YfcyKffvqpZYETy7S0tDB37lzOveJXHJdbBuSwYtUBw8DWSFU1NquzE44AZ7NrhS1AOAz4s+pIEWbWF0zlpD57AVi6KwuAE385mtf+UcvWrVsZODB89xqzQcYA77zzDtv2lHPKxb9l246dHouDXtzoY2xknIn8YpdByBI1IFndLoOM1fdqxWErqELISnq4nENVaabPy+g8NasqlOwqNYsq1CDitrCzaBE7ixYxafxEPv3003a/fjQyefJk7ph2B5PGncmSl5ejaRp5KbUM757O8O7pZCe51uTq/QleVggVVYhYiXvRv4z265EZS/rrhiKCQom5AYOWEN1qPS+rFPSu4IyRBz1iSJ5rZT4ed9TBZM9LjxpH1bfgWD777DNaWlp8jjvUiIuL46OPPuKnwi28eM295CduMDxOFTdqCndbMatz0xZx429e0SJqIoUUN+CyyKQOOYbPPvssrNeIaYEzYsQIPv74Y66//npO++3lNNRPYMzsKV7HDL9tFhkjEuk/qYqzC9Z6tqtf/FIo6AWNRL9d/7PeetOWOBw5njqmGi8ULszcWfJzkULHTOTkxI8wfIWL8f93Ih9//HHYxuvMJCUlceedd/LDDz/w4osv8tXs/5ARLyivq8WRmNbacJNWq0pVeZWhq6gtsThqOrmRcAnVmuMvRT1U9G4qKVYC9b9Sj7PSK0ude7EzicLdGRTuzvA5NzspUbHetJKWk0NmZma7ZZ1EO8ceeyxfffUV55xzDk9cdgcDUktMj9WLj7aKEYnVzKtwEM0ixyyrDFwiU75UpOXGiCN/MTbsz/SYFjjgUoZTpkxh4cKFXDblJu7O1TXOc4uR8X1KyHckeaVVq7E4wbqY9P2lVPGhH0st5qfG0hhZYFQxox8nkAstkLXGWTmA4o2jcVYOoLC63ssdJa09euFjJHICCZlQ4292Fi3yvD/p+ONYunQpzc3NIY0Vi/Tr14+lS5eyadMmPn/FFVDvbKzGkZjmOUbffLKqvMrzAmtWCLU2jvpSLTfSWqO32hjF4/iLyTHLyvJYj9wiR6aqWxE98jhZONAIM/FiJGwMg5b9pNX7jHkwmfK6Ro/lRlrcwCWoJkyYwOLFiy2NdSgghGDGjBnMmzePZffdjNbcFPCccAqb9iSsPagiQLBiT1ptVOuNJOfoAr788suwzi/mBY7ktNNOY+y4cfy8ZRDTX/2NZ/u3dyygqjSTwup6r9Ro1UWlYjWuRUV1VcmXvkpxMOgtNXqLUDCWHCnoVDElhZPau8rs85CoIseoajG4hE1bgou9rldWRl5eXruX/o520tLSePjhh/nv8+/SLyWT8rpanI3VZCclM7JHk7HYcGcA7d1bY1idOBD+vsz9WXJCsegYjefTD0sROvr3XnNWflZFixXLjBGe6/gRNh6XmM4SVHww2W3FafRyUQHs2rUrYk0LOzMXXHABRx0xnP9LXBzUeeEqtBeuuBuzcSJR/bi9MYvFMbLkHCzfE/Z1fsgIHIDp06fzyIIn+XX3q722b3m6luKNo70K2Ulrh5EAMRMlqmtKH6djRdQY7de7o2QhQn1sj94tJi08UriYiRP9XMzccGaEo7BfKCz7vpCTTz653a7XmTj++OM5bPAQZv/pUbK6JuFITMORmMbAtJ5MPDHFU8TOyHKyvqisTa4faBUhgQSMmYtMX2DQ7Br+9qvny3sqL3Oyrmhfa9Vk98+rN8f5teYYIY8364vldU/uNHFJnjvYOC/FlTpe0LPCNPh4V2UiS5cuZezYsZbndihx99138+G8hRzR66DPl2k442/CTaSagJqJoo4QScGIG4CyNT+E/Zl+SAmcMWPG8PDDD3PVrbdx/CO/92yvq5nj5fJRv/RlteO2xs0Ea6mRdWeMBIc+sFgdX9bhqVjWxJana9n+iasuipF7ShU96jgypdxqI86OYNn3hfZD3wQhBG+88QbffPYdPyxeDYAjwYEjwcEVhzd7WhV40DWUVEWDFVdLKHE7RuLHaJu/NhGe/bKflUmhQL2Q0scKGaEXMHpUwaK3DKnXkcfmOepaXym1ZCclegWAg3dwsUwT37dlC9nZ2fTqZd7081Dm1FNP5dZbb+Xr2bMA15eqfIG5kIhUYLBVVDESLrEjXUWBLEKRRP/5g0vQqKJm6a4sLxeVjNX5+evvwv5MD5vAEUJ8JYQYo/x8mhDiZyFEjRDiDSFEmnt7nBDiVSHEPiHE7eG6vlWuuuoquiSncEv3I8mdNMOzveSTh03PUVs6hEKo50mRY+V8o1R2WUXZyA0lixrK+UkLk9wHgasdq+Q2hFb4LxSamps71ILTGdZ6RkYG999/P8//9UVS41u/4Hsl53L2kGJDN5SMxdmyvsRSZpRZFpVR7I0R+u7iaqq6kbBRxYgcW2+V8Zqf22qjzxCTc5biZ31RGeuKzP+A0Yscf8JHzln+O3Jwi1fquWqpKa+r9XFHQau4Adj1wwp7nQfg5ptvxlFzgD1rvZucBkpVDvYLPxyuqWDEjD4lO9C15X6rBQPDjdHnrU8H1yODkFsaG6jdXsRJJ50U1jm1WeC4F/1TwEnKtgzgNWAa0AcQwAPu3ZOA9UBfYIIQIvS0jdDmy1133cX8F19i+HmrvfapVpyCtK4s3pXLu4VHGgbX+kMVJVbEib/4FilKjMYxs+4cfc9Bjr7noN+gYylu/I0fCLOaOEZBxuGKvQFY+NEG8o86isGDBwc+OIx0trV+/vnns6+8gjXL1+JscuJscomA4d3TPRYIo7YCakNJPaqoUV1RqogwEiL69/qfrVhqVNGkXlOdg5zb+qIy1heVeVVu1gcs68WPlxtJlzYuBY1e2KhxN/oiibK4n3RHSXEjrTb+xE2eo47K3bvZ8NorXHfddaafSyTobOs8ISGBO++8k/hP/h2R8cOZfSX/bUvAslFmWDgLD4ZCKOJGPa/0nSc4/+wzyc7ODuu8wmHBOQlXwUD1aXg28IOmaW9rmlYBPAJc7N4ngHj3OQJo91LKv/nNb9i/fz9nlHpfumJZE+vm3c/S24aHPLYqFKyKG/Cf4WSUTWVk2dFfO++IFT4CyIqYUjGql6M21bRiuQmXuOmbfzpfbazjrQ8+4NVXX+2IXlSdaq3Hx8dz5513Mm/2fK/tvZJzOaOfqxKvFAzp2ekeYVNVXtXmAGB/cThG1h2j5pd6Aokgf8g2C2b3JQsGellbLNbGMXSNue/HqM6NilktnJqKA3x09zRmzpzJ8ccfb2keYaRTrXNw1YJatWoV+zdt9NoeyFUVacKVUm7UMyqago/bUlgxZcv/aCleyz/+8Y8wzshFmwWOpmkzNU27FlC/SY8CVHvhWiDHrew/BoYBW4GPNU1r9/a58sH/8bJmLzeVLABYVzOHdwuPZHyfEvKOWOETgGyGP0FjJiykeNC7kMyCm624rPwFRkuhohYxtIpaAwd8WzWEu9aNnn/++z88MO+vfPzpZ2Rlmf9VECk641q//PLLWV+0kbINe7y2j8gY5HJVuQWDvi6OFZETTMsFs2OtFBVcX1TWah3J6sqw/BzPKzvH4en4ffK4fp45y/2qhUrtyaXGIQ3L9+7zJGNlAiFdYEbIXlbgbpmhFPgrr2tk9f4E13Yl7Vxabw5WVPDsdbdx5XkXMnXq1IDzCDedcZ137dqV2267Dcfit332GQUfB1OBuL3EkVn/LH+WH6Nt/sRPewo9f5YbKYjW/+cVtr77Mqu+/Jy0tDTT40MlUkHG6UCl/EHTtHqgCUjXNK1F07SLNE3L1DRtvtkAQojfCSEKhRCFkZjgZZddxvr167lrgnFK85anaz11cYxqzqhiw2qcjCou1JeKKnSCTSWX5+mF0vg+JZ44IhX9HMyuo68NpBIocypc1puX3niThx77G18sWcKwYcPCMmaYaNNaj/Q679q1K7fffjtzHnoUwOOmAjguu7en/YBE77IKl8iR1hy9W0qS163WMC5ItQipIkd/rHQVDcvPcYkXZb9a90e9n/Iyp2efUZuGPEedjxUnmIrH6ngyFRzMrTrFziS2bDvIf26awrUXXcpDDz3UEVZKM6L+mX799dfz+eefU7l9i8++0Ud3b1PAcShWmFDERKC5mGVHWbXmWBnf6lhqQLFZvJMUOUYWno/nP8OGt19nxdfLw9qeQSWgwBFC3CWEaDJ4PefntANAsjJGF1zmS+N2ugZomvaMpmkFmqYVWD0nGLp06cKsWbP498dOfvHUL33219XMochZ5/WlrwoI9UvfTKzot6vv9UJBCpmq0ky2f5Lutz2Den0rAshKSwb9XPXxNfprqAX+5L9G9W/U4nyh8uK/3uAvT/ydxV99xRFHHNHm8czoiLUe6XUOcMMNN7DqhzX8tHITjgSXqEhLdGVVFfSs8KSNg7FgCVc/qaysVJ94GRUj8aBaV2SdHomaPSVTwbOzunpq36hNRdXxpDtqeH4mg4blMnJwiytwOMT6N0aNNYudSQEbakryHHUUH0wmrW43X999NTddcTn3339/xMRNrD7THQ4H06ZNY+frj5ke054WjGCDklWrUqBgYtVyE8jyY3SNjiZp49sc/OF9HeWfagAAIABJREFU1i1fRv/+/SN2nYDNNjVNewh4KMhxN+Dy2UqGAT9rmmb9z5924Morr+TRRx/l5t0n87WuAefw22bxbiHkHbGC/pOqPCnZUlCoYmdxZWu3bjU7SY/RdhnAXFhdT/HG0Z4074wRvinr/vDXkNPMNWa2T6aHW72PfEcSJV3qDGNx2mrBWf/zz/z5sfl8s3w5hx12WJvGCkSsrvXk5GTuuece5tz7KO999B+EEFQ3tgYcD893eAmHvXvTvaobp2enm8bS+EPul4G+RunaMjYGchg5uKVVtCjzkcJIIvfpLTnri8pYr5uD3iK1vqiM8qxUhudnuqw2J6a4BIY+U8otdvy5qsrLnGxZX8Leva6O7FLoeAKS3SnhHheUO3hYoh/7v3/+K9ddeCH33nuv6TXDQayuc4CpU6fyt7/9jd77vmJ3pvWU40h1HZfjhTslPBhLTzDWJzPBZDR/1SoTKGNN3V++bjXr//saP69eSe/evS3NK1Qi5aJ6GxgrhBjrjr5/CHg1QtcKmYSEBB588EEWvLmEp1/Z5bVv3bz7PQHHao2Z4o2jAV8XFQS2lJi5pqTI8RTxOzHBK21bngsuQaXWvwnVpRWoMrGK0TxUrKSTyyaZwVp0Zj4yhz/NmhVxcdMGOsVav/LKK9lTupfPPv7CI27AFXA8/Vinl6tKL0Sq1v7U+nKLHquByGbZVWAcnBuMC0haaoKtvLx3bw1Lvtzhup6uYSbg6hUl6+BIcaLrOg4ugZae7S1u5LzA2y2lorfsFDuT2PzdSg5u3cV9990X1L20I51inScnJ3Pvvffyn3nPo2nesc5mhQD1qJaXcATzBnu+P0ESbvGlv0d/sTtWrm3Uf0pF0zQKn3yUp+bNjbi4gQgJHE3T9gGTgZeAncAewLzQTAfy61//mpT0dBo2H+PTiFNPxbImKtY0+ridAIo3jvb0cZIvK5261bHG9ykhvdc++k+q8hpTBjkHKjoYTCq7PzFmJliMXG1qRlW4+XTJV2wvLeXGG2+MyPjhoLOsdSnm75/5MC0tLV6xOL2Sc7ni8GaPRUS6bryocbpeWzYFLXIkZhYf1Y1UXJnMuqJ9njRvVQTpg4FVjAr6mc1Bn8WVl1JrKbDYqPaNDHQ2o3B3hudcj2VHxuK4m2/u3t+Ft+c8yV/+8heSktqnllSwdJZ1Dq6MqriqejK2+f4xZVXk6Am3BUYdN5oyokK9v0DCRh6z7YuP6JfShcsuuyyk6wRL2ASOpmkDNE37Vvn5PU3TBmqa5tA07Sp3UFrUIYRg9uzZ3Dd3HnfpGnGCq1geuFskuN8v3pXLI5f+h0+v/4DHrhvssb4AbP8knVX3pbD9k3SKN462FP+iolpL1LYPElXkWLXUGKV6y31WkZWNVYyEjT4Ox8hqY8WSs2P3bm6660888cQTdOnSxfI824POutZ/85vfkJKSwqsv/AvAR+QU9K7w9EqS1olBw3I5/qKxkKp8iZeVevpXBUJmMqVnp5uKkPTsdNYXlfGvd8s9lhV9YHBVeZXfispSmJ08rp9nmz7+xoi8lNqAqdygWGUUkROM5Uh+rpJiZ5JHzH0x+0GO7t+fCy64wPJ47UFnXecJCQk88sgjvDfnGZobfKdollUV6Ms9mOwks5+tWIYCiZ327GYeDqT4qd+zg28en8MTTzxBXFz7NFE4pFo1mDFu3DhOPeMM3lvUzMvvXuq1Ty2W139SFf0nVXnaH4ArGHnxrlymDK3wCBFVFOnjYqxaO6SrKe+IFZ73i3fl+vTIUlsrGGEmrkIVN9Jik++IXOXivfv3c/H1N3LHjBmceuqpEbnGoYgQgmeeeYa5DzxG9R5fsTAxL9FjxZDp2BNPTGH6hCpvkaNac5b/4HFd6QWFbKPgSenO6upJ65ZCx0rFY8AjkIyQ4kMKCH+WHj1WxI0/jESOuk3fgwpa43tampvYv/Q/9Cwv4vXXX4+mjKlOzznnnMOoI4/hwHuPWz7HX6aVFfS9r0KtWhzKNcNJW8dUBaS06jQeKGfHczN47om/csIJJ7Rp/GAQej9lNCKE0CI9z4qKCvKHDuWF+X/l3p3L+PaOBZ59E58+0/PeWTmA7Z+kG7Z2mPj0mUzO7cbCkkrDmjaqUJCdutWO3XK7kSgJVHHYXyBxoOPUY/X7jao4m4k0KXiCqYXTN/90L2tOZfxATrv4Um648UbmzJkTloe+EAJN06L+26M91jnAPffcQ+EP3/H0awuoaa7xZFY5m5xsrd7D6v0JnoDYiXmJ9ErOpbS2hF/O3U/V8h/MB3YLoPQjDyfLHcir1oORFO7O8GmNIFPIPQX3utXy6bKDnv1qzymJPqOqoHeFxyW05MsdVJVX+QQZSzE10R1cDL7Bv3IML4uLn0ac+kabcp4+KebuaxTuzqB8bz1rH/sj3St389FHH4WtKre91lspLi7myJH5TP3HI2xLPc5nv1mQ7IpVB0KKmzHC3zj62jXhqGwc6BrhvK7K6KO7ez5P/Wd5cOsatj97J/fNvIuZM2e2+VpgfZ3bFhw3GRkZPPjII9w3dx7PDvEOaC3eONoTd+Loto3+k6q8CgRKPr3+Ay4/+1Um53ZjytAKxvcp8dSgUfs7qTEuRmJBH4xckNbVcCw1Td0oFsaq6LHiQlOP0d9DW9C7ql568y1u/+MfmTt3rv0XbYS46667+HHVWgq/XeHZJt1V2UnJTMxL5Ix+Ts7t34Neya5YnF7JuSyZ0Z9nnj2OQWfqXFaSGtcYZq4habko6F3BxBNTfBpe7t1b4+ortbee1ZvjPGJn794an47cKtJ1pU/z1osbaZG64tQ4L3HjL0XcSrdwn/nojlXFUbEzifK99RRv3IK2bS1r1qxp95Yjhwp5eXn8acZM3pn/os8+f/EiN/+qiQuuGhWWL/62Zi+pGLm12hoUHA4CZVBVfPse82Y/HDZxEwwB08QPJaqqquiZnUXf/NN5+d3vue4SV5R3eq99PiLAFQg8w9CSc/nZrzL91d8wsYvrFy/rxOhFgZFI0IsU1cJjdLyzcgCklQQlOIysNWbp7ep2I2tOW9xUeusNwJJvvuHVW28LeUybwHTp0oXy8nIG9O6PI8HhFYsjyU5yfSmr+xwJDs7pN5rjrivlu3OH88jbXdmy2LvBITVOKCtlb3Y65XsdFHfzXR/SgmGGbIRZvrfe055BihvPv446irsl8emyg+76OA6UMi0eN5Vq9TGyJvnDI4Iqk4HWjK28brV+LTqS4spkr9gbVUR1r9vEqIkTSU5um4vMxj9VVVWkZ2VwUp+9fovOeW9zHXfzr5pYevQoSxYdf5YQo6rJ4apRE01xOHqhIz/T5OK1nHvusx0xJVvgqFx00UXce889lJTt4ayhM3n2tQe83E3SPVWxrAmAQdcnUvKJ8ViPXPofFs+ewpShFa0iwBE4pVru17utVKTQkPV3Cqt9xwkUY6MXN1bO8YdaB6eseU1AN5VZfZyEhETbchNhhBBcddVVLHz+n9z3oOuvKilkHInm5dI9x7iFzvArf+alE/+PT5cddNW6UQKPq9b+5K5J0yo08rrV+ogbab0xisNRxUlxpUugyBTrwj0uN9Lw/EzWFfm6hfK6SYHicnOpLRFASQ/X/Quu6wQq+udP5HjPO9nH1VVetg/toGav83bgsssuY+6xf+W8P16HFC6BaBU7WZzUZy8n9cGy0AlEOASJUWPNUK8dzngbyYpVB7y2d+nSpcPWuu2iUujVqxfXXHstv58+gwNVVZw1dCbTM3O84l5KPnmYupo51NXMYcvTtQy/bZbpeN/esYAFGzIo6dJa9ddqkLFe1MjzZN+qwup6T3E/fR8rvXgxqnljllmln5+630wAGbVrMKpqrGKWSZWSnMTBgwcNzrAJJ3fddRcLn/8niz74mLRE8zRnGZ8jkV3JS2pL6ZWcy+/zXS6f48cPgZxeLteV4qqS6d76mBu1+za0tnJwFc5zdwU3sPLI5pTFlcms3ux6fKlxO5I8d5E9KYiMivlBq1XFqyeUidvKI6Is9Knyuob7urL1Q3aOg4ysNHudtwOHHXYYF/3mfF760zyO7bETCOxSkaxYdYD57ycw//0Ez3n+BIGV7Cf12GDaK5gV7gtWoOjHikSKuv7zTU5O7rC1bltwdDz88MPcfvvtnHLeBbz0+N8oOGoafy1axCu1X1HINpKUiscyWyp30gxPttWWp2u9KiJv/ySdoj4lXsJBBhdLzESEPgDZI3JozZpaXIlXn6zxfUq8jpXjSGEkCZRiLucoXVRG4ia3IclvLyorlhw9SV2TqK2NquKoMUnfvn354P0PuOCCC1i96kcu/cPFJCR4Pw6kuDFzY8l95/aHYudB1helUwWtlpyyUmQ0TlZWqqHAMLLcqC0dypXAYxUpflS3kYqa/i3fG6Vpe51jEOMjj1EtRFZaOujHknVwZIPO+Lo4Uux13i4sWLCAG2+8kb9ccgsFM+aR3qe/50tYHxhrFpsjrRKu4wLHywTCrNlnIMGib7RpFaPYnUi4t4w+v5SUlA57ptsWHB2JiYn87W9/494H/sy5V17NrNlzyBgwlt8mj2V6Zg4nzVvH8NtmeYka+W96r30Mut77oZkxItGwE3mwxfFyG1xp2fmOJCbndmNil+7kO5IMC/9JcSJFlGwDoa+ArKJ2CletRWbiBgI32oTAlhw9ybYFp9044YQT+P7771n+9QouOeVyNq74yWu/tNaAS8gYWXPkvjxHXatYyenl+tedSs6WTV4BxP7Iyko1bO1gVVhAa28niezSbQVPiwZdzI9nDrLCsRJ87K+n1urNcR5LE+BJla+u0ex13k4kJSXx/PPPc/ct0/j01smsfukpT30cf40iVaxafYK1zKj4i+GJRNBwOC03/gr9paSkdNhatwWOCZdffjlr163jQEMTY355Fit3xTF6xB95a8JcXh+bwcvXl3F2wVqf884uWMvL717K9Fd/w5jZU1g3735W3ZfCgg0ZHtFhZr0xQw3klUJHIjO7ZL0cI+EkxUzFmkafffr4G6PzVXeWPpsq3BysraVr19BjgWyCIzc3l08++YQZ0+/mxsv/wH23PEjFfteDSooaVejo6Z3qeuie278HE09Mac1cku4qgFSHp+qxv2J9ErX9gWq9Ka5MpnB3hieNG/Cy3uizldSXOoZeoICx9SbPUUdBzwpPAUQjpGAxQl5DddHJcVoa6ux13o4IIbjxxhtZ/+Nahhzcx3vXXcDu77/2Oc5MyOhTysMpNozES6BCgFYzrqwWJowkNTU1HbbWbReVH3Jycli4cCFffvklv//973n5zbe4744/Mjz/dPpyOjlFi8gf/z0LNrQ+cAur68l3JDGxS3cWK2NVlWZSqDTELFSK88n+UgCL3RWK1Zo5ekuJKnDC2SpBHUcNrlZdYOm99lHINqBVFEmrj1nDTb0Vx8xtpWkaRRs2MmJEcG4tm7YhhOCSSy7hl7/8JbNmzeKcMeczfeYfufzKS+nSpYtPJpX688bKNRzRbQS7a7by+3yAbFZvzqG8zMne7HSq1rqtQoq7ykgQyG0uV1Cmj6Vn9eY4spUYUX0grxH6AF8z8rrVmsbVSOuPd0aV97kFvev4cHVKwOuo1JVssdd5B9C3b1/eeustPvzwQ6ZOncqmD99m1NU3kd6ntQK2WtNFRQ2ela4qMLaEWHEBhbvxZrC1eMzcZGb3H8iNZ4TW3MzGjRsZPny45XPCiW3BscC4ceNYuXIlp59zLr++5ndcfcttbNy0mb75p3PW0Jn8eZDrIVpVmknxxtGewOIpQysYM3uKl9uqqjSTVfel8On1H/Bu4ZFMzu3mcz2zruASNWjZCtKNlTEi0dPiwWqXclXc+ENvzQl2jgDlFVVoLY306tUrqPNswkO3bt2YP38+ixYt4qP3P2P0kSfy8ouvkpWQ6eWeUt87G6tZsXcZziYnjgQHVxzezDUn7OOKU+O47dI0VwXknNbfpww81osc2QdLplWPHNzi1QAUvOvLLPlyh+Fr9eY4w/gaiV7wZGd1tRQ0LC1BLkHjm24u55+d1dUTAK0XaVJIZWd1hYodHHXUUQGvaxMZzjjjDNauXcvvTpvAoluuZNmce6guaW247M+So4/bMXMftcUFJMf01/jTX00co1YRRlYio2PV+wvkmjNzTclz68t30KdPH1JTA1crjwR2JeMgcTqdLFiwgEcffZQJJ4zhjik3ctjAgRT+OIfLn3alxPafVMV4d2DxwpJKACbndqPIWce7hUeybt79nvGG3zaLGeM3eSwmVaWZHhEyObebVyCvUQq5JFDAr5wHeNe28ZcaHigw2ag/lX4u/urk6C05S39Yz4vvfMG3q38yOSM07OquofH1119zzz33sHnLJu68+3YuvOR8arXWNSYtOc7Gaq/0cmejd92CR7538P5bre5c1QUlXVaqK8ooQFdftdioZxXAoGG5TDwxpTVzyS0q9DE4Rt3BTa04uo7iqsXHqNu4UZyRKtaKK5P5ZMoFfPrGKxQUFBheM1TstR48Bw4cYP78+Tz++ONkHDuWEb+9FkevPM9+M4uFWYp0oHo3wWAlM8tKI1Cr1Y6NMLPomB2r8vkL/+aEho28+eabls63itV1bgucEKmurubxxx9n7pzZvPns0xSMHEnhj3P40xbXg04KHCNRcsfj/b0KBA6/bRZnF6z1ya6S/Z6sWEKkkDA7Vg04Bld1ZnC5nMb3KfHbiFOf5aX/2aqLzEjsqCLnxbe/oKn7QB577DFL41nFfui3jSVLljDj7jvJ7pnNS689R3Vjq4tKH5tjlnH19vb9fLg6xScGx6gFA/jWmTESDeuLyjwCZ9CwXM9Y/vo/GW1ThYu6X2IkYmStHP25/shz1FG4O4M9ZTV8d+Mp7Nu3j5SU4FxbgbDXeuhUVFQwb948Zs//G6f/9Xm69R/k2RfoC96o/1K4sCJOArnEIiFwrFh39nz4HFNPHsI999zj99hgsbrO7RicEElLS+Ouu+6iurqaB+Y9xvw/P0DBUdN4Nt6VUi5Rv/ylWJl903YWTJriKRpYsaaRxb1yQZdOLgWBP5EjhUsRdX6Fhl48yYDjijXpLJ7Uap1xVg4wtNT4w59lSd0XyKqzqy6ZUzrIV2tjzsknn8w7/32PwYMH8a9X3uDCS86nptmVFaEXNGbByOf278HIHnv4cIfD5b4pc3pSwTFsjuktbrKzunqJHCmUpDVoeH6mWxR5jyLjZ1TRImvjyP2e90q9GhVpATLrLaU/zgzZpmHn6jXk5uaGXdzYtI2MjAweeOABysvL+eC5xzn+DzNIyepp6Vwjt44qCsKVlu3PFWZ2jXBkSwVjxVGPOyahnOHDz2nz9UPFtuC0kdraWubOnctf5z3KNZdewt03/4EVa+b6DQxW90nXkd5tJNs8qOjH1FtlJDKuxyjLSbXgyJo9w2+b5Uk1V11kgdxXcq4qZo1DVUuPXuDkxI/gqxXreeSlRaxYsYKsLGsVR61i/1UbHr755hum/mEKQgj+/ux8eh/W22u/mbhxNlZTXtcqDqTIWV9U5ql5A95p4dIao3dNga81Rx+rY0RBT9+4GRlArI/XUSsZ+4vPsZp6rrLqZ/hh1hU8ePsU/vCHPwR9fiDstd52qqurefjhh5m34EnyL7yC/IuuBNpumQmn68poTHXscDULDYS/WKXKlZ/hWPEW33//PWlp5hXSQ8FuttlOJCcnM3PmTNasLeLlN99iy/btPrEluQ1J5MSP8Nou08X1zTPVmBejcdTzwVvcyPMXllSapnDL6+UdsYKMExM8TUNl4LEVcaOOoxdXZo04C6vr/aaVL125nptvvjns4sYmfJxwwgl8v7yQseP+j8cfe9LvsfqaOQDldY2U1zVS0LOC7KyuXuLGCGm5kS+J/mcr+NTFUWrjqP2iQGfV0b03Sj23PIfKZNLiq0mpO8BNN90U9Pk27UNaWhoPPfQQ61f9wJpXn6Ou0iWOrdbCiQTBpHuH4o4Kd00cAOeG5dx5551hFzfB0GaBI4SYLITYJoRwCiG+FEIc4d5+mhDiZyFEjRDiDSFEmnt7nBDiVSHEPiHE7W29frTQu3dvjhw6lM3bttM3/3SObj7WU7NGFSo58SM8QqWwup7Fu3J5t/BI3i080idjSZ9erQ82NqqhU1Wa6WnloMcndub8H+k/qYr0Xvs8wspqdpU6TjA1coqcvtlVZc1r2FW6L+q7KttrHeLi4jj7l79my6YtPvuMRA24+ltlJyWTnZRIdlKipetIF5RZYUC5PVihIzESKHqhY3kspa6O13iK9UfuryndRd6A3KjuQ2WvcxcDBw4kvd9Aqnfv8GwzEjntIXz8WViCKQLoT8iYpburLrBAQki1cjXsK+nwZ3qbBI4QYgiwALgRyAYWAf8SQmQArwHTgD6AAB5wnzYJWA/0BSYIIcwb4XQyhh89ik3btgGuZpJ6q42K6srZ8nSt5wUuISLTrNUXeAsHtQ+VFCjS1eSsHMDiXbk+4kMvcqTlRi9sjESLvuCfHF9veTLDX1HD3Xv2MWjQINP9HY291ls5/PDD2fTzZsMeVlLk+AQfJ6YxMK2np0s5uNxQWVmpnpceVeTohY6aVq5HxtyoL2i13ISKP3eVnIesXCyLEuqpKd1N/pAjQ55DpLHXuTfpvftRtWuH6f5gxI1R/6hw9oKKdKVjo/FlmriR+66xorTDn+ltDTI+BfhC07QPAYQQc4EHgbOBHzRNe9u9/RHgA+AWXP8x4t3XFkB0OmJDYMiQIaz+dpnnZ7OO2WU/uiwzsiN4xokJng7l0oqzEHM3kSoU5PFquwbVEiRjarzOd4+tFxzBWHGKN46mYk0jGSPkv4le55mlmBsVL9z/YyVVdS0drvYDYK91N3l5eTira6iudoJiCDGKwdEHIbusOdJS4q4mHKC6sb5TuIpMIbcSh+N1D6p1xSSF3CsbS/azcmdCqfvzutV62jGocUNqVlZxZTJaczPbP3uPSydfHNRc2xl7nStcefLxvLlhu9c2f1acQHE67VlBOBwY1dOxgnPDd+SkJZGXlxf44AjSVoHzNvCR8vNo4CBwFLBS2b4WyHEr+4+Bq4CtwP2aphk64YUQvwN+18b5tSuZmZnUWHjO5sSPgIY14HBVNHZ9XK1IgWIkRFTRYCRkjArzGYkco/5YRtdwdNtmqZ2EFQrSunq515yVA0gUG1k1bymvvfRWtGeVRGStd8Z1LoQgMzOTiv0V9Ovf1yttHMxdVSADjltbhqguJil01Po45WVOzzFWKhNL4eKVKeXHaiODjAONW3ww2auBp+n1u9WS1w2vbC6ZPbX1rSfRWlqYOnWq3zE6GPuZrpCZmcnY7qUEbjASPPqifZEWP1aCj9V5BDsfKe4a9pey+/W/8MX/3iEurmPDfNskcDRNK5PvhRDnAU8B04GRwHbluHohRBOQrmmaE7jIwtjPAM+4x+4UfxE4HA5qasyDJiV93a0edhYtgtzvuYPWzuRq+nb/SQNYrDwoA1UVlvv1PacyRiR6iRy1NYSKXgTJY8E7jVwdV3+sbOOgtnmQ46qiytFtG1pzC6ufXc8tU6Zx5pln+r23jiZSa70zrnOA1NRUnwZ6gYSNIzGN8rpaCvdkeMWsSKuHWt1YihyzPk8S2SpBj4z1Ka9r9Igdq+4pM7Ejz5eVjGUKerEzSRFqvk06Afau/IqypR+wY/0an67t0YT9TPfG6jM9WMIZ1KviT8QEe00pdqwUEpS0NDaw6+V7mXP/TMaOHRvU9SJBQHklhLhLCNFk8HrOvT9LCPEOMB+4RtO0J4ADKIUshBBdcIkp31zNGCI1NTWk/wwZIxK9xILqrlJfFWsafV6ec3Q/q+NI1LG8jnOfu/2TdB+rkHyZxdnor6keJ8eS56tjAuwv/IIeqY1hLwIVKvZat47rwW+tQ7C+sjG0BgmbxdeAbxHAQBWHPcelBB8orKIGDVtp45DnqPMboNxQU8OWF/7MHU9Np2dPa3VVIom9zq0T6jM9WCLdvDPU6wcrivZ++jI5g/pzyy23BHVepAj4p4SmaQ8BDxntE0KkAkuBZcBQt5IH2IDLZysZBvysaVrbnjxRTmpqKk5n8MbMijWNHjGScWKCx5oj9wU61+hnOZ5nXFVABRgzkJvLSn8qVxFDV50dVyq663w5RkFaV7ZtPcC8+54iPj4+4Hjtgb3WrZOamkqN09qDX23jYIa+5o2MqfFy9bhdSfqqxHpBY5SpZWa98QpC9tPDyuxc/Xuj6sj7tmxmxOFDuP+CWy2PHUnsdW4d+UyPpPM8FHFjpfCeWTNNq9cNpZ5O3J4iXnz8r1GTJdhWW+lvgRJN067WbX8bmCOEGIvLV/sQ8GobrxX1VFZWBp3zX+Ss84iQupo5gKsujd79o6K3zKio4sjnPJ34kcer4kqPVVFTsaaRdHdPxarSTEo+ae23VfLJw2SMmAXg1Sn9zcrUDusyGwL2WleorKzEkeZyH8lsKn0sjhEyi8pjpdHVt1FFTjBio3X8VteUil4EqV3C9dWO9dYbtZu4VXeX2mpiUhwss9d5pySUZ7o/wuWaCqboYChCRT3XKseM7MYHu7dH1TO9rQLnKGCc2xerMhiYDLyEK9XwTeBhYpxNmzbRLzu4QnVqAG/upBlkjEhU4nAUF5SJqHGJIpTjphlsn+GxEmWcmEBdzRySUqcZjutr3fHN0tIjx5UiSG0mqiLdU/vyvuHZt36gpUV0eBphENhr3Y2maWzatImBgwZ4bTcSOvrMqk+LG1m9ORHwrVCsvvcX+OvTK8otNlQRYyZ0jMbRt1hQm2l6rqGIHHmtQCInJ6WK7e+/xRsvvM6cOXP8HhtF2OtcYdOmTaxPSOMY3faT+uxl6S7fZ30gy0ogq0qksNKnqi1usrrizXzx1kL69OlDdnZ2yOOEm7YGGU8FzFICtgPvtWX8zsamTZsY1L+f5eNlIT9pOQlilsZxAAAgAElEQVTGjQS+4sZsmypiVGuRFDnqPr0Vp3UerULHKFurYlmToQhLSp3mshK5x0nt6+Tlpxdzz5/u5w9/+AOJidYKv3U09lpvZc+ePXTp2oWMDOMaIGmJDo/IUdPEnY3VFO7OoLysVSwHDCI2aJapFxv+yE5K9M7acv+sFyhG4xk16IRWQaW2czCa07I599P9YBP/+9//GDVqlKX5djT2OvfmhSXf0XNE6+/upD57fd4bCZ1ARGu6uJWmnfr9dbs3seu5acx+4D5uuOGGqHFPgd1sM6xs+HE1v/3Nr4M+r/+kKs/7QK4gIwETCPWcpNRpJKVOo65mjqHI0SNFl96Coxc5RvPqmvJHht5USkPpj9RXuP66PvD9AW64bgrTp08P+j5sooPNmzczaLD/B7QqciSuflTemVISffdwPYEaWbZew/cPA31MjipywNgCpLfOeNxZBqKo2JnEjjLYuWItdVvWcMAde71l6Xds27aN7t07rsS/Tdtwluxk8GlneW2TgkYKnLYInWhAFSyBhNfAowdQX76L7KZNbF63C4CDm1Zx9x9v4+abb47oPEPBFjhhZOv2HQzq3z+oc/Rp2Kpo0FtEQhE3euQYZsJGb8XRW3BUXKLHtb3kk9btiV3P56ILkvjyy9cpeaGBcePGMXi4q4hf3JFxTJkypc33YdNxbNq0iUGDBwQ8Toqc1vTxPT7HqC4pFemeMmp6aWa9kbVq9FYbI9Rj9K6tD3c4LNXGce4/AJ8VUvj556xevZqjjjqKMWPGkJTpmvOtzz5ri5tOTnXxLtLy+np+9idizNxWnR1N06heu5T/q1/HkiVLiI+PZ/C4cZxyTH80TSPh2DOjtraTLXDCRHNzM9t37WJA3z5BnSeFjVFl4Y5CH3SsD3hWa/VkuDtR9Jo4nf1Li2lqXE6/PisZO/YOZs6cyZAhQ6LKZGnTdozib8yQIqe0toQPdzi86t3oU8CNrDT+hE1eiqumji+1hplUeleVmRAq6FlBsYGImpiXyKfFjWzaWcu+5Z/y9dMvc/7553P//fczZswYUlN9203YdF6cTidNNVWkZJrHlIzOSmWFn4ax0YKVrCv9sVpzM7W7f2LvJy/RP97JqbfdxkMPPcTAgQM7zTPdFjhhYseOHWRmZJAaRDXegqOmMXnDA+Q2JHlaFyx2W0X0MTjhsN4YYWbR0Ysbs5igsqXbGd/XyRdffMGgAT256KKLufPOO0lODr3nj010s3HjRk49c4Ll451NTk9wsVqtWKJaa/RtEoqdSRT0NC+1ohdFre9rvQKNjRp9rt6fgHwESiuOuk0dNzuhkscefp41n61m69atjBs3jv/973+MHj3a8udg07n46aef6Nm/N8JdjVeNv4kWzFpEtKWdRNmPKzjsq/dYsmQJffr04YYrL+PWW2+lS5cuYZp1+2ELnDCxYcMGhgwKLnBsZ9EijuZYyljDwhJXwQ9Ht20eN5Wawh1uZPxNoHgcs9RyraWZJucy4rf9xMSr7mP+/Pn07t07InO1iS42bNjA72+9ztKxMg5HigW1DQMYVw0OpqO3J45G30/qYDLZScH935Gp43pK1xXx2kP3Mb7geJ588kkKCgo6TXC8Tehs2LCBXoP6+hU27WW9MRInqogJR0fzlsZ6KHyZNd98wYMPPsgzzzxDTk5Om8ftSGyBEyY2btzIkIGhRcZ/2uCtqNMVK04kRY7EXzyOEan9nBT/71VOGX0Cz/x3Fbm55n2tbGKLlpYWfv75Z4Ycbr0x6tbqPYDDp/aNFXFjNVvKq56NJ6bGJULM3VWtjz8jcaNpGt+/+AJr//smz/39KS688EJLc7GJDTZu3EjOgOBCDsKNXri0VcgYWW9GH92dA9u38OV9f+SX/zeGJ9asITMzcDHXzoAtcMKEy4ITfE0XmSqux1fkTAu7m0o/nip0VHGjurG6HdvIrvf+yZ/vuJvbbrut0/hibcLDjh076NGjBw6H//RulfK6Rt8ierq2C/4ypGScjVHVYjBuzWCUHh4sW9/5J7uWfMzPa9fRq1evoM+36dxs2LCBXgW+f7Saxd3IAONg4l3MCIdFxmxc/dxq9+/l87tvYv6DD3DNNddE5LodhS1wwkTRqpWcccP1lo/fWbSIsuY1rtibBu99jm7bcFYOMBQ5ELl4HBWja2haM7W73uSGSydz++23R3wONtHHhg0bOOzw4IR8dlIixUrbKtVKEyj120pquGdcd20bVyq3r+iRgkeKHbUWjl4krVu8jK9f+hcrl6+wxc0hyqqiHzj/wpMN943O8g4oVwVPtIobI0YO7crHf7yJO35/Q8yJG7AFTtjYsXs3/YPIoJLipshZZ5g9pRc5KpESOjIOx2zc5qYfOGHwkcydOzes17XpPGzbto3+A62XQnA2Od3tGdwp2UHE16iYWW8kPnVrTIQLGNfKUc/Piq/k37Me4vOPP6N/kGUfbGKHnTtKyOrtLW71wiYSmMXZhJvRR3dn1Yt/5xcj85k5c2bErtORBOwmbhMYTdPYU76XnlnWaiDsLFpESZc6T2AxeHfh1tfGkUX2ZNdx2ZBTBgmHE3+iKaF7CVdeeWXUNMe0aX9KS0vp1at9O2IbxeGE4nIyyqQyYuXqEnJ653DccccFfQ2b2KC2tpbGugZSuoWvD1W0MPro7h7htKdoFVdffXXMhhrYFpwwUFVVRWJCguUU8bLmNSzcU4mzcgCFbPPaJ8WNxNuSI2l1W7mYEZGigHriE/fTp0/HBt3ZdCylpaUMGR58ML2Z9cWo7o2/Fglm40h3k74Fg9wmU8XVf9XzVCqKS8nKi55+OjbtT1lZGelZGV5f/GbWG308TjhicOQ4kaamtCSmn+m2BScMlJWV0dNik01pvVEp3jjaq4KxtNyoP8sXuCw6HmuOzqrjr5t4W0hKnUbawDy+/PLLiIxv0zkoKysjx6IFp6S2FHA12DRqTJmXUuvV8NKz3WCbXggZuZmsNMA0OlcvmgaMGsG679fS3NwccCyb2KSsrIz07NYikoFcU2oF484ibgB6jjgmpp/ptgUnDJSWllp2T0km53aD3AoWlpgfU5DWWulVxukYW3Qg3e0qrirNpGJZk8d1FS5LTl3NHKp3HkdcnK2JD2VKS0vJyfEvcKobnayp2OL5udjpyrjSd+P2vHdv91fQzwjVEmNWldhf3I4ZcfHxtLRo9lo/hCktLaWfBSue1To4+jo24bLytBURHxfT69wWOGHgjRdfYPRRRwU8bmfRIgCObj62NYNKh6PbNi9hI5HbCqvrfSw8Eune8uolFcb08tqdZYwcOTIsY9l0Pnbu3MmGjRs4fOjhpsfItgxtRbXG+Na3CSxuZE8qWQtHPQ/8W3HWrlxH36Gdpxy9Tfh57vVnyR81HPDvmlIbbxr1ofJXx0Z9rwqf9qRi80+MHHlnu16zPbEFThvZu3cvr/znvyx77x1Lx8u6N6q4yTtiBSBFTKu4yXd4m+WLnHWG4kdSiMuNld5rQGs15BGJVKyZ4TlG7TNlVOvGH1pcGcccc0zA42xik7lz53LZ5EvIyDB+CFc3OnE2uVsxJPl23baCvzgbdZ8qUNT3Vi02eoGkjrXhuzUUFBxpec42scX27dtZsugr/vvd66R3txZ3oyKtM8GIlfYWNgD1VQeo3r2DESNGtPu12wtb4LSR+fPnc85pp5LXy7yktax5A/hYbfSCRS9qzPYVOesMt0Or0AHc7qzWff0neXcsB7xcWhK94IlPGM05Z/e3a4IcouzZs4eXX36Zb1cuCXisIzENZ2M1jsQ0tlbvIS/FOwbHTIQU7skwFEPBCKRAncQDdRnf9dM2vnjtA77/5jvL17SJLebMmcM5l51Fevd0y+forTf+BEuw4scfesuPVUtQS3MTK56dzxWXXBxU0c7Ohi1w2sjnn3/Onddb68tj5JLyJ2gkajNOo/NyG9zvHa37PAIozeUuUGvttMbxwPZPXP+JzXpRAXTNOoxjhyazYMGCgHO1iU2WL1/OscceS69cYyGvWm+cjdWAbNHgQs1yglYhYhYY7LKqWI+fUa0wgTqJg7Gl6KsPlvDMn/7O3/+2gCOOOMLytW1ii88//5y7n7jDdH84+k+FS+QYubkCUV91gC/vv4OROT2YPXt2m+cQzdgCp4307NmTA1VVlo9XLS9m5DuSWkWLG/3PRqjH5HZxvdcLI6OiguDKkpKxO6rrKqX30Zw9digLFy7slN1kbcJDz5492b9/v6d5Zlpi6199qrgxQhUz6s8Sr4Bjd+xMIEFi5mICbzHTGsfTGugsM7LkvwU9K6jdWczTdy/gk08+YdSoUX4/C5vYpmfPnqzYsYeavN5+KxaHSqTdUYHGXz7/Yc4dM5oFCxbEfE0zW+C0kdzcXMr2lJvu31m0iFXx31NU62rJIAWGs3KAx43kL64mEDnxrf5To75WptadtBIKq+vJPx84H695FJ5fj7NyClVbiznwznKefPILW9wc4uTm5lJSYhw87E/cSKwW5tO3WTC37rQia9uYjqmkmHvEjdITq6WlhX/e8yL33HOPLW5syM3NpbJ8f0dPIyQCiZtdy78iYfcW/rronZgXNwBC07SOnkNAhBDRP0mbaGa7pmkDOnoSgbDXuU0YsNe6zaGApXXeKQROuBBCFGqaVtDR8wgHsXQvEHv305HE2mcZS/cTS/cSDcTS5xlL9wLRcT+xW+HHxsbGxsbG5pDFFjg2NjY2NjY2McehJnCe6egJhJFYuheIvfvpSGLts4yl+4mle4kGYunzjKV7gSi4n0MqBsfGxsbGxsbm0OBQs+DY2NjY2NjYHALYAsfGxsbGxsYm5rAFjo2NjY2NjU3M0ekFjhBishBimxDCKYT4UghxhHv7NCHELvf2xUKIoco5pwkhfhZC1Agh3hBCpLm3xwkhXhVC7BNC3N4B9zJVCFEihKgSQrwvhMj1N99ovpcA92P4O4v2++lIYmmdu+cQM2vdXufhJZbWeiyt8wD3E51rXdO0TvsChgBO4AwgGZgBrASOB0qAgUBX4C/A5+5zMoD9wLnu928Cj7n3nQbMBFKA9wFHO97LkcA+99wdwGvAywHmG5X3EuB+DH9n0X4/9jq317q9zu21fqiu88661ju7BecU4AtN0z7UNK0WmAuMBDT3S/baisf1IQOcDfygadrbmqZVAI8AF7v3CfexCe737ZlidjLwvqZpyzVNcwKvAPkB5hut9wLm92P4OxNC9CC676cjiaV1DrG11u11Hl5iaa3H0jqHzrjW21MBRkBR5gADlJ/H4FKSCcBTtP6nOAgc7j7mUWCOck5X9zEOXC6713Gp1Jvb+V4SgS7u95m41PETAeYblfcS4H78/c6i9n468hVL6zzA2uh0a91e5/ZaD2FtdLp1HuB+onatd+pu4pqmlcn3QojzcP0HmA6MA34NHAP8DMzGpTaPBdKB7coY9UKIJiBdc6nSi9rtBhQ0TWsEEEJch6tAUh0wCZiMyXyJ0ntxz8Xwfsx+Z5qmNQkhovZ+OpJYWufuucTMWrfXeXiJpbUeS+vcPZdOt9Y7u4sKIUSWEOIdYD5wjaZpT+Dy972sadpK94c4HShwm8wO4PITyvO74FKaFe0/e180TXsWl0/yTuBtXErYbL5RfS/gez9CiEST3xl0gvvpKGJtnUNsrXV7nYePWFvrsbTOoXOt9U4tcIQQqcBSXCauoZqmvevedVB3aBPQDNQCG3AFS0mGAT9rLt9hhyGEuFsIcRmAey5PAj2AXZjPNyrvBfzeT0+Mf2cQxffTkcTSOofYWuv2Og8vsbTWY2mdQydd65H220XyBfwOV3CTfvtYoBSXOTMZlznzfa3Vd7jffUwG8AFwb5Tcy1pgEJCEKxJ9tb/5Ruu9BLgfw99ZtN9PFHyWPp9ZZ1znAdZGp1vr9jqPyOfp87l1xrUeS+s8wP1E7Vrv8A+tjR/4E0ALLjWvvvoDVwGbgErgXSBHOe8sYCsuU+ELQNcouJcE4K/u/8SVwIfAYYHmG4334u9+/P3Oovl+OvizjJl17m9tBJpzNN6Pvc7D/nnGzFqPpXXu736iea3bzTZtbGxsbGxsYo5OHYNjY2NjY2NjY2OELXBsbGxsbGxsYg5b4NjY2NjY2NjEHLbAsbGxsbGxsYk5or6SsRBiInBcR8/DJurZAryuddKoeXfFz99j/9Fh458WYKGmaSUdPZFQEUL8Cjiqo+dhE/UUaZr2TlsGiPosKiHEoscf+vNp6WlpgQ9W2LdzZUjXO9CyI/hzEhpCutaOusaQzttcG9p5dQd7hnRebUVwnz2Ac0dTSNeq2dgc0nmN9Z7aUqmapumLgkU9QogJZ5x52ueXXH6h3+Nqm+osjVfXbPU4a/W2qhqtrfGqBmu/v/0NXQIeU1GbaG2sg10tHVdVbe3/TdUBa59dVbW142qrLHzGBw5YGkurOUDzruUkDvkl9SufE5ZOijKEEMuffnnBcfHx8WEfe1/d3rCPKdlSXR+xsdfvS4/Y2Fu21kRs7LKtZYEPCpHmjV8hEpNpLv6+q6ZpIX3JRr0FB+CMUyaQ1aNHUOfsLGoJ6VplzcH/AV3SxdqDTk+KM7TznCH+R3NWDgjpvKrSzKDPaa4PUYRtDk0YNbZ+JDVCiMGapm0JaaAOZPCQQZzz67P8HlPd6LQ0lrPJ4nGN1ZaOK6+zJoTKLYr24oPJgY9xJlkbqzLwWADley3+vymz9tk17LX2xdFQXmXhmqWWxqLGSXzGYBrWv0XikF9qTZs+jOuMVsszzzmDhITwf/3sqtkZ9jEl3S3+vkPh4K6siI29N82aeA5p7OatERs7Lj6H5l3fIrr1rxdC9NE0bXfQY0RiYjY2HcxmIUSne+jb2FhBJHWjy8jJaDXlxPUc0eJub2BjE1MIIUjoewKJA09BpPba1XXU1UE/022BYxOzCCE0IYS9xm1iDhGXQOIRZxGXMRiR1tsphDiso+dkYxMJ4roPoMtRv6Vx6+ckHna6JoSw7Jq1H/42sU6zECKjoydhYxMJEnJHkXj4rxCOXj93GfFb22ppE5OIrul0GXkFWm0FcT2PbBFCOKycZwscm0OBiR09ARubSBGXlkd87zE0bVvc0VOxsYkYIi6BhIET0JxlACdYOccWODYxj6Zpb3b0HGxsIoGmtdC45TNayovQnMXBZwPY2HQSWqpLaFi9kIRBE9E07RMr59gCxyam0TStU6bS2tgEQms8SOOaV0AIWvb/nKBp2v6OnpONTSRoLl1N40/voTlLj2hY86rlZ3qnSBO3sQmBHpqmVXT0JGxsIkFLdTGNG98hYcApNKx5xRbxNjGJ1tJE06aP0BoPolXvTtM0zVoNBze2BccmFom3xY1NrNJUspLGn95Hc5YOscWNTayi1VfRsPolRHIGLeVr44IVN9A5LDi1U6bfRZcugSufep1UFVqFxTqtMvhz4kIrKljVFFrV3oqm0K7X3Lg+pPMa64L77AEaq0JL6GioC+3eJJ3YJVX7v/cWsX2b/0raTS3WCiE2aRaPszheQ4u1tVrfbO33XtscuIptXZO1v7/qGq1VxK1vsLa26ussfiYN1o5rrLdwXL3Fop91TujiQKve7dA0LXKV5yJL7XW/vZG4uPD/fX2wKXJFzA9YrNIdCvtqg3/GWqXiQGhFV63QUBm5Jajt3+2u2P18yM/0ztCqIQ2YCrzWTpe8pB2v1d7Xi+V7O0fTtPntdK2IIISYDvyro+dhQnuvnWCJ5vmFc24twM7OWL1YIoTohqvvWqR+X5FaC5FcY/bYvpyladrjbRkg6gUOgBCiUNO0gli7Vntfz7636Caa7yGa5wbRPb9onltHEcnPJFJjd8Y5H+pj2zE4NjY2NjY2NjGHLXBsbGxsbGxsYo7OInCeidFrtff17HuLbqL5HqJ5bhDd84vmuXUUkfxMIjV2Z5zzIT12p4jBsbGxsbGxsbEJhs5iwbGxsbGxsbGxsUxUCxwhxGlCiJ+FEDVCiDfcKeORutZkIcQ2IYRTCPGlEOKISF1Ld918IUS9EKJXBK8xSAix2P05rhNCjI/UtdzXmyaE2OX+LBcLIYZG6DpfCSHGuN8LIcQ8IUSlEKJYCHFDJK4ZCdpznYeK+llHEx31/9YKQoipQogSIUSVEOJ9IURuR8+pownnWjf63QshBgshGoQQdcprQghjf6kb4/lwPGOEEH/SjVsnhGgUQlzh/h5Qt18Z5NiWnodCiIFCiKVCiFohxHIhxLAgx04RQrzoXtelQoj5QohE9777dfexKYhxTX93ocwZAE3TovIFZAD7gXPd798EHovQtYYATuAMIBmYAaxsh3uMB5YBGtArgtcpBGYBqcBkYHcEr3U8UAIMBLoCfwE+D/M1TgOecn9uY9zbrgF+BHoDI4C9wKhI/w7DcC/tts7D9VlHy6uj/t9anNuRwD73/wcHrlohL3f0vDr4MwnbWjf73QOnAq+EYa47ga66bWF/xgDHAmuAkcDXIY4R1PMQ+Ap4EEgHpgGrghz7fuBboA/QC/gGuNm971VgUohzNv3dBTNn9RXNFpyzgR80TXtbc5XdfwS4OELXOgX4QtO0DzVNqwXmAiOFED0idD3JbbgWSsQQQhwDZAEPaJpWo2naQuBCIYS18q/B04xr0coq2fG4Hmrh5CT3+Grp7suA2Zqm7dY0bQ2uL5SLwnzdSNCe6zwUjD7raKGj/t9a4WTgfU3TlmuuEvOvAPkdPKeOJpxr3fB3D4wC/FoNAiGESAKaNE2r1+0K6zNGCJEALASm4BIKoc7b8vNQCNEP12d0v6ZpVcCjwAA/VnajsScBczRN26VpWinwHPAL976BFu/DaFzDc0OYs4doFjhH4VLkkrVAjhDCEYFrvQ3cpPw8GjgIVEXgWgAIIQ4HrgJmRuoabkYDPwMLhRB7hRDfAw2apkWk7rimaYXAu8BPQB2uiqV3hfkaMzVNuxbXX8gS/XopAg4L53UjRHuu86Ax+ayjhXb/fxsEzwLXAQghMoHf4rLWHsqEc62b/e6zgTOEy0W+Q7iqgwfLAKCLEOIHIcR+IcR/hSuEINzPmBuA7ZqmLcH15X60EGKz2+0zV7p9AhHk83AksF6KN03TWoANZvdhMva1wMfKzwVAsfv9QOBp9+e2XAhxXBDjDsT4dxfUnFWiWeCkA57GUO6ba3JvDyuappVpmrYNQAhxHvAeMF3TLDb0CRIhRBwu1XuzFvl+Mlm41PVHQF/gBeBt918pYUcI8Qvg18AxQBrwIq6/XiON13oBqonAWokA7bbOY432/n8bDJqmNWqa1iCEuA6Xe+BcorcNR3sRtrVu9rsHGoHPcLkIzwRuEEL8NsjhM4B1uKwgA9xzflk/f9rwjHF/B9yOK3QAIBH4DjgBGANMAO4IZWw3ZnPVb1f3WULTtCJN06qFEKlCiMfh/9k77/AoqvWPf85usum9EBJSCL13QUFQEAuiAnpVUBG94rVX1Ov16sWuKHJt99p/Yr9iF0WRLiAivUoPSQghjYT0bDm/P2Y2TJbdzSbZTWM+z7NPsjNnzjkz+86Z77znPecwBXheFWRZwDyUrrH/AxYKISI9zRrnv12j69yaF9ssRulbBUAIYUKpr09WiRZCxKKIjiHAX6WU3/miHJXbgQNSyl98WIaW7VJKu8j4jxBiNtAD2OqDsiahxBpshtr1lUqEENFSSm93VWmpYy9AMD6yFS/TrHbe3mjm+7bBSCnfFkJ8hOLN+UYI0VFK6bvVD1s3XrV1D377YiHEa8BEGvCSJaX8DaUbxl7OLOAYSle7t9qYiUCelPIPtcw6ay4JIZ5FEUBPNzJ/V+2h43btPo8RQoxFeXndDgyWUmaru4Zpkr0hhLgDJQ7t5/rylFI+rK2/5rf7qLF1bs0enD9RlJydXsA+tb/VqwghQoDVKO6yns3QSJ4DTLVHiqvbMoQQl/igrAyUtwNAia5H+d29fh1VHJfztaDE5fiqPDuO9tIb3wg4b9Nsdt7eaIH71mOEEI8IIa4FUH/L/wLRnN6eOa/ZuqvfXgjxD1X42PEHGuQlF0JMEEKc55CHxUn9m9LG3IASZG0v8zYhhLbLpcH1dsBVXfcAvVQPkt2T1AMlINkjhBAXAF8CD0gpL7aLGyFEbyHETQ7JPT4PN79d4+vsSSRyS3yAGBTFfDaKy/AHYLaPyroZJWCtpc7VZ6Oo1GtXjNJvGoTSb70RdZJHH5R3NpCL0kUVBMxBCbb0RVkZnIzAvwVYg/IQGQ7kAd1a6jdtwDk0m51761q3lk9L37ce1G0HkA4Eoozy2drS9Wrha+I1W3f12wNLUMRkOMrooSw8GNXjkMe1KMGuPdV8PkDxAHmljQEEijAbpNn2DvCteo1SUcTIzAbm61F7iDKwZZbaPv8LWNHAvNcCM5yk6YwSNHyhmvdtwCHA5GG+Ln+7xtRZStl6BY56UpeoF6gMpT8vwEflvAbYUFS69pPaTOfp62HiZwB/oARfLgU6+/h8blAbiBKUgOMOPipHe3MYgddR+mazgGnN8dt56Tyaxc69da1by6el79t66uaHEouQq94Hi4CuLV2vlv54y9bd/fYo3SFlKIMrbm1k/k+qoiAfRdxEeauNUR/eFYBRsy0S+Fxtow8DswFDA/P1qD0EugO/o3jVV3lyvzjkXebkui9V9/1Fve6lwEqgTwPyTXH12zWmzlJKfakGHR0dHR0dnfZHa47B0dHR0dHR0dFpFLrA0dHR0dHR0Wl36AJHR0dHR0dHp92hCxwdHR0dHR2ddocucHR0dHR0dHTaHbrA0dHR0dHR0Wl36AJHR0dHR0dHp92hCxwdHR0dHR2ddocucHR0dHR0dHTaHbrA0dHR0dHR0Wl36AJHR0dHR0dHp92hCxwdHR0dHR2ddocucHR0dHR0dHTaHbrA0dHR0dHR0Wl36AJHR0dHR0dHp92hCxwdHR0dHR2ddkebEjhCiLuFEFc52aRf1McAACAASURBVJ4mhKhS/39PCNHFTR4XCSF2CyEqhBAbhRAjfFTX6UKIHzxIV1v3toIQQgohElq6Hu0VV3bukOYbIUSki33nCCH+9E3t3OPLsoUQs4UQb/gibzdlurw/W/I6txe0ti6E+FIIUSmEGCKE+NrL5awQQlztzTx9TVusc2ujzQgcIUQ4MB34op6kLwNz3OTxP+B5IAaYB3wlhAj0YlUBkFJ+IKW82EkdjN4uy5sIBa/aRWs/59ZEA+z8/4DHfF8j39Oa7KM11aW948TWpwADpZQbgQwhxKUtVrk2iC/a7kbWo9XcQy1+MRrATOAbKaUVQAgxUwhxTAhRCNxqTySl3AokCyH6OMnjTOCwlPJ9KWWllPIjwAb0Vt8OPxNCLFO9O+8JIe4QQmQLIQ4JIcY5q5QQYqIQYo/65rFVCHGuun2GEOIn9f8VQoinhBCHgCscstgBBAghytS0aUKIX4QQpUKI34UQAzT5LRFCLFDr96MQYqoQYr8QIkcIca0m3SIhxCdCiDK17BR1n1EI8awQ4qh6zF2a85BCiPuAYiBeCDFCCLFZPa+9Qogr1XQ71EOyhRAdhBAZWi+Y/bt6HrlCiKeAfHXfQCHEOrVevwghUt3/5KcljnY+TgixTb1mnwshotV0C4HJQogYF/n4CSFeE0IUCcVTOdC+QwjxgBDisBAiTwjxil3gO74xar+r9nGbEOKAaj9/06R7TAhRLIQ4AkzWbA8SQnwqhDghhCgUQrwlhPBX92UIIf4hhDgG/FMIka05LlQIUS3ce2K7CSFWq/dCphDiTnX7c0KIjzTpzhdCZKr/O7U/9d5/XwixGnjVRXmPqud4VAgxWQjRAVgK9NDcEzoNo9bWhRD71W071d/9HeBRZwcJhX+qbVi+EOJfmn1ObVuzv45HTtT1/jekjf1OCPGRen9tcmarql2OUf+fqzlH1Da1vxAiTijtdZnaXj6t7n8dGAN8LIS4UjSg7dZs7y6EsAohYjXbtgghrvDg3nxQ/ZsrhLhXc/xQoTyXTgghVgr1Oatek4VCiO+Ab53+2i2BlLJNfIC1wEj1/64oP+YoIBL4HqjSpH0e+IeTPKKAHprvKUAVkAjMBiqAEUAyUA78CIQDNwMbXNQrD7gA8APuAjaq22cAP6n/rwC2AclOjk+z1x1FcG4DbgFCgNuAg5r8bMBlQDRwGNiIYtAXAAUO6SYDASgerZ/VfbOAn1G8V32BbGCMuk8CHwKh6vc/UBogP2ASUKipswQS1P8zgBGafRnqNUxT6/EcEKiezxHgUiAUeAZY3tJ21do+DnbeCTgGnKXa+Xzg/zRp/wdMc5LHOepvdD8QDPwD+FO1r6nAbiAd6AAsBp7W2OnVmnxqv6v5faHeD5eh3DcBwLmqHfUBElS7+VM95nY1/zC1rL3AJRo7WaLasgnlfh6g7psEbHVyXrOBN9T/FwBPqMcOAcxABDAcKAAMarp/q/eAS/tT8y1Vr7Nwcn9K4BU1j78B+zXX+c+Wtpm2+tHausbGEjTfc4FEJ8ddA2xRbSoN5QVqpCe2jaa91fy+9vZ3Bg1rY6ei3F+fobkvNXnPBx5S/1+D8kyJVz95gABeAN5HaSO7AEVAPyf3n8dtt0MdtgLXqv+nqHYeRP335gqU52UflPvpTDVtHnAVJ59PB1DagRmAFeXeNbS0bdWef0tXwMMbwYDSgEWq3x8B3tHsH+ZgtNcAC+vJcwxwCHhR/T4b5W3Cvn8vcKn6f18gx0keAhik/k0E7gQyNDeBVuDc4qIeaZy8wYYDOx32ZwAD1Py2aLYvBu5S/w9VjdykptukSRejGp4J5eYfptk3G5inuUl6avYNQBE3cSiuY6nZ1xCBE6xuvwr4QZPOBFQCUS1tX63l48TOHwJed7CV45rvjwCvOcnnHK29Av4oDVtX4CfgRs2+kZwUJCtwL3D6qv8bAQuKAHsb+KfmmL9o8ktCaTyDUe6hbcAMjZ1cqDnuE9SXEjXPfzk5r9mcFDg91XyjUF50atTrI1Aa/7PUdPtQ7nWX9qfm+5mb+1MC0Zpzsmiusy5wvGDrGhvTCpxfgCucHPsTcL3m+ziUB3G9tk39AsfTNnaDJt0MYImTel4PfI1y/x1GEUKXobSnn6tp0lUbDAMGo4i6c7R1Vv/3uO12qMOjwKfq/3cCn2js2N29eakmj1eBp9Trt8oh/30o7f0MYF1L25Xjx4+2QQzKDVGifu8EZGr25zikL0IRHKcghAhGeaObAjwopXxXs/uY5n8bcELz3VV33vXAd2p9sl2kAeUNtT5SgZ6iblCjEeXNuL76aeuYpdlWpP6NVfP/VQhh3yeAL13U8UIUz1gusNODujvWAaBGSlmh/p8KXODk3DoAxxuQf3vG0c5TgZlCiL9q0vgJIQKllFUov+0QF3kdtf8jpTQLIfLV/FOB/Zp0+Wjc2g442nyBmp9VCGFBEcCdgF81abT3YkcUsRKM2hXrkJ/W3r4G7kbxrFykftxxBrBIzWMDii0jpZRCiG+BCeo5RwCrUbxZruzPsS6O1Egp7feRVT1Op2k42rozXLXjKcBB+xcp5VIAtcvRU9u242jjnraxBZptVeD0WboUeBblJXgTih2ehSJ4lqppuqN4GS0o3hZxajZAw9puLQuAtUKJi7kUeE3dXt+9qX2G5KPc547X177Pfo09ecY1K20lBsduPPZf9xiKkdtJqZsciWKcdVB/5EUoP25PB3FjP64hnAdcouY1EiXwsynkobwZBNo/KA35qgbWL1nzfyeURrlQzX+QJu8uwN8dDxZCdEPp1hgqpTwDpcvPFTZUO1Kvr6uYkDzgS03ZQShv3ns9PKfTAUc7zwNe0lyzCGC4Km7AhZ2rdLT/I4QwoTzIszjZWNnphvLGBprfUqW+hwO4vxdfBt6UUvaQUl6OeyG7CBgkhBiL8ka93VVC9SXlbWCClHIQijDS1vsb4GL1851U4pmaYn8NbRd06sfR1p3hyr4LOSlMEUJcJ5Q4QHe2bcfmUKajjXvtt5ZSZgNlKJ6PtSgvAmeh2N0yNdm7wD1Syr5SymtwfT971HY7qcOfKC8dFwEDUbxcUP+9qX2GpKK86Na5vkIJaE7n1GvcamgrAicfRSVHqd+/BC4XQpwplKGyjzikj6KuErczDqXhnyKlzPdCvfxQbpZAIURX4EGUN+yGXFeLekwksA4lwHeiECJACHENSjCptYH1GiCEuFAIEYLiWvxJSlkNfA78XShBnN1R3iL6uzmvYCFEJ+BfAEIIu8q3oniEQPFaDVX/vxrljcAZi4DRQglADkTpfvmPlNLVDX064szOrxZC9FJ/y7nAw5r0ruwcoKMQ4lb1N3sARTjnoLzRPSCESFYDZf8OfKAeU/tbCiFGobxd1scXwM1qHROA+zT7/IAgIUSIEOJ6lAbW5CwTKWUZsBx4ibpvps4wqp9gIUQcitcHTr6FrkBplG/Q5OUL+7MA4fbgTJ0G4WjrznBl318B9wghYoUQ/VBsphj3tq0tFyGEvd27sfGn4BHLgL+iCJztKN3EsVLKfep+PxQ7jhBCPIgiuOx2bOFkO+tp2+2MBSjX6Ef1OWAv1929eZsQIlwIMRyl2/lblJjU4UKIS9SXjPuAXCnlNo+vRjPTJgSOlNICrAf6qd+3o7icvwD2oARfaemLIhYc6Y9iYBVCCIvmM6aRVVuMYriZKA3pMyixAE6HqbvgKIr7MkN9M5+M0m96HOUcJ0spaxpYr3Uob7V5KILOPuJltlq/TGAl8L6UcqHjwVLK3cCbKDfkClQ3J2AfnfIdsFF9uMxCecBtR4lJcDqiREp5DLgWZXREEcobhT7HgwYXdv53FJGbh/LQvk1ziCs7ByU48myUhn8ySqA8wH9Rgns3oNw72znptn4cRQTsBO7l5FumuzovRLGVVWpdPtfsfgjFDnNQ4uQeAl4WQrh6qH2NEvv1uYv99jJLUexuCbBZPY/PUO1TSmkGfkB521yibvOF/e1AieP5A0Aoo22mNzHP0wJHW3eBK/t+jZO/+0LgAdVT4c627eVWosSifCWE2IwSG+NLlqIEEG9QxfRm6nbp3qnWez/Ky+ELKAHDoAiKuUKIKXjYdrtgAYo3qyH35m4U7+Y3wP1Syo1SylwUsfMcyj00BZjmYR1aBKEGCrV6hBCzgAgppdOhgw5p1wI3SylPu+GbQogZKIFpF7Z0XXQajqd2rnoJ9wBnSikL3KVtKwghzgTek1L28kJeDwMpUspb602s0yK4s3UhRA/gIynlsOav2emNECID5Rni6uWpzdAmPDgq7wAThRBuA6NVl2Xh6ShudNoFHtk5MAGl67G9iJswlC6lJsWxqfOFRKEM4W1qTJyOb3Fn6zNRPAU6Oo2mzQgcKWUxiiu8Prfy3SjuNh2dNkcD7Hwmyjww7YUNKN1TbzYxn0SUbt8/pJTrm1wrHZ/hytaFEBFAHyllfbFYOjpuaTNdVDo6Ojo6Ojo6ntJmPDg6Ojo6Ojo6Op7SJib6S40OkZnHK+pPqKPjnMNSyrSWrkR9pIaHyszS8pauhk7bpk3YekB8R1mTn9vS1dBpu3hk522ii0oIIatenFxn2/ZPLbX/59ZUcP2RzRQUFKCZ6VFHBwAhBFLKVm8YQghZfvu1btP8tdDC2LFjmTlzZjPVSqct0ZZsPfnfK2q/Gw/WnQS3Jv8QeT8+T6fr32jmmrV9rOmRLVp+QqLvJ/r+48qzPbLzNttF1W/qSefT8uO5DB48WBc3Ou2a0hozy5cvZ+DAgfUn1tFpw5QfWIcpLr2lq9EmMR4sPkUwNie5OQ2dl9Z3tFmBo/XgLD2ew4MPPtiCtdHR8Q5Bo1yvjrA65xh9+/Zl2DB9ahCdto+zN31jZgnGzBIqdv9KVNL5LVArHW+Qm2Ot/bQkbSIGxxGtuAHIqamkZ8+eLVQbHR3vEjQqnsrVeadsP1RSRo/+Z7RAjXR0vI/94Wf3NhgzT667aakowBTWEUOmu7U4wZoS4bsKtnGMB4tbvLsKTv7OzdF15UibETiOokZLqNGPoqIikpOTXabR0WlLOBM5EQEmioqKXByho9O2cPcANvgHY60px+AX6D6PRgogZ8fpYsm3tITQaTMCxxUWaaPSZuX4cXcLFfuG//73vyxZsoQ777yTc845BwAppR4LpNNo5MhBtf8HsRmgVugcyPSn2L/5+9YzMzO599576dGjB7Nnz8ZkUtbk021dpym4Eic2aw3SasZmLgdifFKGMwyHiynev4iq6iwiBk8iIEFZa7Yt27ndO9YaPDl2tN1WvhY7bSYGp9zq3IOzs7yYsNROnHXWWc1WF7PZzOOPP84z984idf0eJkyYQGVlJZs2bSI5OZmlS5c2W1102hfvPum4+PFJFuftY8aMGc1XGWDbtm2ce/Yweifb+OWXX5g3bx4Wi4Ubb7yRCRMmNGtddNoX0mqujbnRCpHK/F34BcdiCu/UbHWxWWso3PEZZVlrCPRP5NjXj2M4fJyaTevJfmsG5q1bTqlnW8IeeNySwcfO0MbqeBq305C4njYjcO7bv54Sy6mLaheZq0lOTq59q/Q1a9euZeDAgfz00uvMThvEgcoTjB8/nqCgIF555RUSExN5+OGHWb9+PYcOHWqWOum0H/7x9Wa+nvc5Ys3mU/aVxYfQpUuXZqlHWVkZ99xzD+PHnc0Dt17MOWf2YtOmTVx66aXs37+fr7/+mn379jF//nw2btxIdXV1s9RLp/2Qu/5VbJaqU7Zbq0/gHxKPsp6s76nI20nW0n9gqcgjbuCNVJccJiRhEEIYKN6/CL+gaIp2fU7V8QOYKwrriLK2KHhao9BxxJXwaWjQstcsSAjxqxBihOb7BUKIfUKIciHE5+piegghDEKIT4QQhUKI+z3N/5ybr+fOmkw6fvvfOtuXFx9lzJgx3jqNOmRlZfHTTz9xwQUXMGLECC666CL+8pe/ML0qiFe6DueJjC1kJscwceJEHnvsMZYvX87o0aPp3r07d9xxB8OGDePVV1/1Sd10Wg5f2vrPP//M3Z9v4j+F6Yir59Zu31VYTElJCT169PD6+VitVlauXMlzzz1Hv379mDBhAn379qXg5+/ZsfQ5/A5lc+G1L3DXXXexceNG/v73v1NVVcVzzz3HG2+8wbXXXsvo0aPJzdUnbmtP+LpNNwZGkLP6WazVpXW2l+dsICjG+3YOYC7Pp/zYVo78+jRHVj1Jzpo55G9+l9j+19HhjLs4um4elsoiAmN7Urjzc6qLDxGcMACDXzAFWz8ke8VjlGaurnseDoLHmehpjUKotXp1vEmTJ/oTQlwATAb+BpwppVynruZ7ALgRWAm8BRyRUt6jpj8DmAt8jrIse1k9ZUiz2Yy/vz8zErpye1Kv2n0L8jJYlRTC2rVrvdpPunDhQm688UYGDRpERN5ObhzemaKKGsZ2iyP7W0UXLjt+lIcObiDOP5DzoxMZF5lIn5BIDGo9jlRXcO/+37n7uae4++67AaU/9/jx4xgMBiIjT/aLSinJyMjgxIkTlJaWUlFRgcVioaSkBIPBwPr169myZQv33XcfF198sdfO83TAW5Of+drWhRBSSsmTTz7JY489xolbp2E0KLa2ZVsYk9d/yP9++r423ssbFBcXM23aNA4fPkxaWhpRW2B4jJFw/0D+cmYAQaPiqbFY6XL3uxwpKmPi4HQuP6Mblw7pQlSoEgAqpeSJL9fxwaZcdu3aRWCgsr26uprCwkI6duxY594sLi7m6NGjlJaWUlZWRnV1NVarlYMHDxIXF8eXX35JQEAAH3/8sdfO83TBG7beXG1654vf4NAPtxDT7xoiu5wcEn58z3dUFe2j45keayWPKNu6jPysLwgITsYYHk3IsIuwRFgJCeyBf67SO3AiYyX5W97DLziW0E4jCE0cirHfAIQQGDNLqCnN4ehvLxHdcxJhKaMAxf5tNWUIgx8G/6Da8qS0UR1Rhc1cicgqwBrjj7RZsVWXYThuprpwL9U1uUSecRUhtuRWF+TcmuJ2HMm65xyP7NwbQcaj1Hy0Bn0psElK+Q2AEOI54AfgHkAARvUYAXiksPz8/Bg6dCimIyeAkxP92T5JZcGWFSxatMhrMQFZWVlMnz6dufF96FcYAMbB9Ot28lJFTVVGdSUGKMY8OTaVmYnda/f3m+rH9k8tJAUEc1en3jz8wP28+OKLSCnJz88nKCgIPz8/3nrrLaZMmQLA//73P6ZOnUr//v0JDQ3FZrOxbt06AEwmEwEBAQwZMoQNGzboAqflaBZbP//883nsscewSMnBXUqQZYgf3N75TGbPns2yZcswGLzjfL3zzjsJ2HKY+d3H4l9pZENsJENjlDe6fbugG3kEjYonJSaMI0VlfPfApDrH2wOgH0zowoKS3XTu3Bl/f3/KysooKysjODiYsWPH8v777xMeHk5VVRV9+/alurqatLQ0QkNDWbFiRZ0833jjDW655RZd4LQczWLnwi8Qv5BT532K7DaBw788QFXRfoLK4wCQyZ49/EWWc09JdWUOBVlfkdTtDgKCk5DJEViTI7CmRyIBq6kYY2YJ/uVKmx7Z5UIiuoyvIzqsKRGYMiG612Tyt8yncPeXYABr5QkMRhPC4Ef8kJsJju8HwImM5RRs/QD/2DQM/kHIPdXU5B8EwOAfgjD64xcYhXnfbuiS3OpGdnni2WnNIgi8IHCklI8CCCHO02zuD2iDCHYAHYQQocBi4AbgEPCElNLjxXcSEhKIOFbFyuJclq2s5O4x3RgwzZ9X9w7ghhtuYNGiRQwePLipp8SaNWsYIAPoFxpVu80+TN0urCzSxktZO0lJSeGPonxukF0ZNO1kHJA9XV+ZyGUnorHYlHs+NsTEgS+V4Og7p17L/YkdSE5OZudvv/NCl6HcOT2Z7Z9aqLJZuMoUzNQ7b2Xu3LkkJCSQk5NDRETrUvmnE81l62azmd69e7N5ewjzDizmnvSRxAaE0MF/ODkbPuD222/n9ddf94rIWbVqFa+mnIO/QRnNMDSmmG69C+uk+XbDfo4cV551q/88wqieSXX271NF2LLLL6CkugarlAT7+xETGIDZZuPBXzeQlJRE7969yT24m+HpHfjkzisw+SllzkuWvLU+l2HDhvHRRx+xbNkyOnTo0ORz02kczWXnhuwT+BGCX6mB0ux12MyVhI5RBHRs32nkrn+VpC63Ywrs4FK4gCJ+3O0HqCo7QHBEHwKCFdsVWSU4jt+xWWsoyP4GP1MUFZmbCU8fB5x8iBsPFmNNiSAo+SKS+p+BXccZgiIw+Jmo2fQ7xzb8F2E04RcQgbkinw6THicoZYBSwP4jZC39B2GpZ1O8dyH+gYlYa0ox+Ae7rLdd9LQ2744drQhqjWLHV8PEw4HD9i9SymohhAUIV12XV9WXgRDiZuBm7bZZs2Zx0003sX//DjgAPePDOL9nB87rHs9rEyxceOGFfPHFF4wePdppnr/88guHDh1i8ODBDBkyxGWX1saNG+kd7PzHsgudvRUnyA4ykr1vH93Do9lQWsAgEp2mBf/abfbbsE9IJF/2HUtOdQVZR8t5ou9YQo3+tccEGvx4vssQ3nj7Qzr4B1JQUMA111zT7KNodOqlSbbuzM5HjBjBoEGDuOyzDyiz1pBVbuWvKZMJNhq5K20aL3/wMTdUVPDOO+/g7+9/Sp6FhYV8+umnxMbGMmnSpNouI0cKCgooysklRdMwOYobgH9/tp7HnpuHlJJHZz/Kj5POq7PffkzQqCTs7+Ny5KDaQOk3//EYzxaXsXtfDgGmixk6QJ2CX91/94WDyS5cxao1iwkLC2Pnzp2899577i6bTvPjkzY9quP55GcuwJKhzO8UEN4Jw+XnYUq/gpgPqjmy8zU6dr6JwJBUp3mWF2/HUlBKYHAqpqBEl216dXkWgSF150lzFDmVf25G2mpI6fNPDu94nOriDPxTlZdcx8kI/fA/RXQExfYk9fy5mMvzMFfkExTTE5kSf/I4Uygdht3O8b0LMQZGYqkoJCx1NCEdh9Z36Vq90IHWKXa8ttimECIDpe91nRDiBaBGSvmIus8EVAPBUsrKRuQt7fWsrKzkn//8J507d+aVV14hLsLCW+O60jUulJX78/jbT0eYP39+rciRUrJ27Vo++ugjvnr3feL8A9lZUUyAMHDZX67g+eefJy0tDQCLxcKsWbN459XX+WfaAM6LSjylLvbuJ5uUTN21kkde/zf33HMP+x4cTWSQ4sFxNylhY8moKuWJjK2cec1fePPNN72ef3vG2wsQ+srWtXYO8PXXX5Odnc2qVatYvnw555mGcl7scMzSwv9yfiZubGc+//zz2kY9Pz+fBQsW8Pi9j5Ic1IGNJbsB6NWrF7NmzeLGG2+szXvNmjXccsst2A7n8cnQqbXbnQmcT/Yc5I0Nhxl61UTkz5u5rfOZddJrl5ewz+Mjk9wP8RVHspW/mtFilavzMFtt/Kc4k7kLN7B511598s4G4k1b93Wb3nXIKwBYrZUU5SzC3xRFcd5K/CMSiLxtNn5R8Zg/+5b8LfPp2PmvBAYrtiClpLJsH6WF66ksPYDBGEBNZQ7CYCI0cgAxnS7Fz18RAtJmJj9zAaXHN9Gxy00Eh9ed8d7e9SWySpDSyuEdTxCTOJH8rC9Im/Aq5nFdATCtOExD0YoRZ91P1cWHydv8DsHx/Yjpc2WT8m+t+EroeBqD4yuB81fgUinlZeq+AcACKWV3d3m4yVs6q6fVauXVV1/lv888yraHxgPwwrI9PPrjLjpFBvHA48+xcOFCDm1eyzhTJ/yEYElRDsmBIUzv0JW1J/L4Kv8wXyxdzLBhw5g6dSq5y9bwr7SBxPo7f+u1CxyAlcW5vJS1k6vPSuLFj++i5tNlPhE3drKqyrl171pyaxrcnpzW+FjgeM3WXdk5wP79+5k4cSLnVQ1kUERPzDYLt+54mgCDP3+741aCg4N57YWX6RPWlb5hXVh3fDsnLGWMjTmD+IAYPjyykKtuuYZnn32WFStWMH36dK4MGcuNaR3w03R1aQXOvl0xdOtdyK4dkfxty1cU1cDMlMvpEBBd25XVGHEDzgUOKCInaFQ8f5n3PRMj4pmxeLWzw3Vc4EOB4/U23S5wtEhp5fjRxZRX7aXjdXOxpkdS+vocivf9iH9AHBHxoyk7vhmbpZKwmKHYrDWUl+wgICiRiA7nUla0ibLjm0lIvwFTYAeOHngbgzGI+JQrMfqHUViyB4CYCGWUllbgAJQW/kFhzo+EpY8h9Ja7AEXcuOoCcxcbZBcg7kZQVR0/SP7m90ge+1Q9V8w9p5vYaWmBEwPsAy5D6av9CPhDSjm7kXm7bPhXr17N2WefzaZZ4+gcE0KN2UpmcSW/Hixgx9ETDE2J4ooBSbz2djYvZ+/k++VL+fXXX5k3+wne6zGKfZUnWGLK5Kc/8xgX2ZEn0gbh7yK2wR5XoxUx2lXNfSluQHlzGb/1ZyL9TIy75iqeffZZ4uNdL86oo+BjgeM1W3dn5wCjRo2CXeVMS5qAVVqpslZztLqATSW7CTEGcVbUACTwwZHvueCGS5k0aRLXT5zGsIg+jIkewoLcJWyu2kNwcDAzIy/j6pQwj+u2ofBk42QPQj7ZNVVX5HgicOCkyKn9vubkzM0vbtzBa1v/pFNoMI+/+z4TJ05ss7PJNic+FDheb9OdCRxQup2OHnyPlN4PY+ycgrSasVQWUpm/E3N5HoHRXQmxdqWsaANFR3+iY5ebKC/ZSWnRRjr1vIfK0v2UFv5OxYk9hMeOIC7lKopO7KtThiuBY98WPS2d3Bwr7sSN9vjGYrPWkPHj7fgFxRAU14foXlMwmkKalKed9ix6WlTgqN8vAV4B4oAFwC1SykbNBuau4ZdSMnfuXJ566ilKSkoIDAxkxIgRTIo6zi0jlb7+3v9cQpDByPxVSxgyZAgAffv2JfvPvRx7fiIAmz6ucSlsMO7AOQAAIABJREFU7DiKmeYUN3aOVldQbrPwfUEWP1tLmDVrFrNmzcLPr82vuuEzfClw1O9esfX6BM7OnTu57777WLx4MQCdOnUiuSyayQnjOL+jjcV5+3h41088/uQTPPjgg/j7+7Nx40aGDh3KrPTp9AztjE1KJBKjMNQKFU+wCxxnQch2gkbFN0jgQF2RoxU4lRYL+4pLyS4t55G1m0gZegYvv/wyvXv39jjv0xFfCRz1u1fbdFcCR0obx4/+TNHRRWpafwJD0wntejbhqWdDZjEZ2x7FFJRAbPLlBAR1BODA5gcwBcSR3PtBJR+bBWFQ2kW758aOVuBYUyLqeFlqzlHifeoTN7X1baLIMZcfw2ap5sShZZTlbCCqx6VEpJ/XbBMd2mkLgshOxiuTmlfg+JL6Gn5QZl5dunQp48ePZ/ny5cocNtGCS/t25Mslx/A3GFhUkFX7Fnjfffdh3PoDT03oA7gXKPZuKa2g0dIc4kbbNWYns6qMpw9vo8/kCbz//vteGzrc3vC2wPEVntg5wNKlS+nTpw8FBQXMmzePVZ/9QpCfmfu6jOL2bQv5fcsf9O3bF4CjR4+S3imNub1nEWA4NSDZTn1iZ0Nh5CmeG3sXlh27J6exXhytwNFittp4e8de5mzcwZJ1v9O/f3+P8j4daUu27krg2LFaKqgqP0RQaBcqSveSl/EJASEpRMSeSUn+GkyBHYhNvqK2TT+W8TGmwA5EJZx3Sl5agRMT0aN25JVMjqgVNHaMB5Uh456IGzueipx643JOZJO/6R0Co7sS0++aFvVatmbBc9oJHEdWrlzJPffcQ87+3Uzun8ibaw+RnZ1NUpIyTHDnzp2cc845fDW1D2ekRnssYPpN9cM0dSw1ny47ZV9LUGWzcNe+37ngjpt59tlnW7QurZW21Og31M7LysqYN28ejz32GJd2GMN3x1by8MMP88wzz9SmmTx5MgUrDzO900QMLt4KHQWO1mNTH65EjiPORI8zgQOnihyAL/Zl8NDqjWw5eEgfRu6CtmTr9QkcR8pLdpOf+TnC4EdgcDKlRRvoPPB5jEZl7prKskPkHniXxG63EhCcRGHJnjqeGleCxTIyhWGTosgoMJC/uhC/NZmNOidPRI4ncTnWmnJy1jxPaKfhRHVrPXOetSbB46nAabev/GPGjOG3337jvEsvx2/QBI4cOVIrbgD69OnD/PnzuennoxwsrDttg2nq2Hrz9yRNcxBo8OOuTr35dN6r7N+/v6Wro9PMhIaG8uijj/LRRx8ROi6JTz75hKeffrpOmg8//JCulw3gq9xldbZvKjKwqch9E7ChMLJO/I0z7PPgwElhItZsrvOpev5nDJ9/j+Hz7xFHsk8RNo7Bxtq4HjtXdEujW2QYH14xEbPZ7LZOOu2PkIheJPd+kICgJAx+IXQe8GytuAEICu1MbPIUjh58j/zCTbXb7V4ay8gUZHJEk7uUnFFfntaUCI/EDYDRFEJM7ysoP/IH5ooCr9WxqbTFtbfarcABCAwM5OOPP+a1114jMfHUId8TJkzg5ptv5r6vt57ivXEmYOxpCqK9EwTWGPpN9Tulrp0CQkgODGFYrz588cUXLVQznZbkmmuu4eOPP2bq1KmnuLVDQ0N54YUXWHd8G1mVxwBqhc3gaNspeTkLKG4IlavzTvlot9vFjF3kOPP2uOKS9BT+b9d+LuqSSlmZ29UAdNohRmMQCekziEu+HKNf3Xa4sGQPNcYQ/IJTqCxYW7vdmhJBQqKRuFExWFMiTgkotqZH0iuihrTYU++FlsIUloTBFEr2itlUHNvW0tWpQ1taaPS0j0y99tprefrpp5FSetTf6S3PTX0Byq66y5wR6WdiXtfh7Kko4bZp15Gbm8vtt99ud1dTXFzMsWPHMJlMdO7cWR+NchoSGxvLpGsv5+Av2SQHue7ecSZutIHFdm+NNiZHu91VALIjYs3mWmHjbOV0V9w+oCd/69edu1b8zpguqfywdScJCQkA1NTUcOzYMYqKiujevTtBQUH15KbTXtDG2JjCelCWs9BlWm13lV38gHc8go4By/WlceXV8QuOIfGsWVQV7iN3/StE97mKsOSRtW26zVyOtfoEwmjCPzjWK3VvDG672lpBl9ZpL3CioqKoqakht7SajuGu576BuuKmsXPeOBMu2gBiT4WNs6DjHsERvN1jJA88+Ah/v/te0gJDsSHZW3GCpIBgKm1WBDD+ysu58MILmThxYp0FP3XaN8nJyfxWrUz+Nzjadkr3lKeeG3s6Z3E62u4qO46ix+7RCWKz0+1anAknP4OB188dwbN/bCc9uRMdg4PoGhnOsuyjxAUFEhkZRGZBKYM7xzP2qpuYNGkSAwYM0IV9K8PVyKamYvALwWYpRdqU9lF5CNe1S3uXUtyomFrPzbptElMjvBL2kVh2PBU5oAyTti8B4eyYwJhuJI56mNzfX6Fw28f4hyciLVXUlOXiHxyLzVyBMJgIiu1JcEJ/guP711nwsyXRnk9LiZ12G2TsKV9//TVP3XUjq+86B4NBaQDtQsYeSGzfZu+aii0q96rAaQqu6nDCUsOhqjIyq8oZHdmBCD8TUkqyqyvYUFrAryXH2FRaSP/QKN5cvZR+/fp5tV6tibYUeOnL+zEhIIZrki6md5gyfcKmIgODo211BIqjZwZOnfyvvpgcO9p8HD1AjqLHmTByVQctFpuNgyWl7C4qISrQxOikBIJGxVNWVcPyr3axLOso3+XkQJWVWx55lFmzZrXr0YZtydajut5+yvbGiBxHoVR9Yhc1pfsIS7qsdsRUzTmpJCQayV9diDGzRImJSY9kRH9Br4gaFh0IbHSAsWP8jbtYG3u5AAmJRnJzrEpah6UgnGGtLqWm9AjmigJCOw5RFvCUEnPZUSoLdlN+dDNVRfsIiu1FTN+rMYUmNPhcWgv1CSJPg4xPew9Onz59yCurxpOXO7uwqaFxo6ecdUs1VfA48+QAhPuZGBAazYDQ6NptQgiSA5V4nclxqZRbLfxUlM3owUN58+MPufLKhk8XrtN2OHPCaEo3ul8HsT5x01gch5S78/TYA4wrV+edcpx2v53uqw10jzrZIFauzsMInJeSyHkpibw08kLWfbOHB/79Ir/++isffvih7rlspTgO525IejtGUzTS6ny2d7u4sIsbgP/71R/jwUKPY0ocZ0O2Yx92bhdQrjAeLD5F5Ng9Oe4wBoQRFNATrX9GCIEpLBFTWCIRncdhrSmnNPNXjqx6ivjBMwlJGODRObU2vBXfc9oLnG7dulHtH0pWcSUpUc5XdbV7b2KLylt8WLg3CTH6cXlcGn1Dorj3uhls27aNp55q2pThOq2XUaNGcTDxIKirHzgLMNbizGviqffGGZ4IJO0w88CR0A8lRsdZ95XjMXYc01atyWdgXDQ/XHYef1+zkTPOOIOffvqJ9PT0hp+ETrPhTuw4EzZ2jAFxWM0lSKvzOQit6ZEkJBrpFVHFogOBmFYcbNCcN85wdrw7T47xYDG5nHovedK95Q6jKYTIrhcSEJXOsT9ep6bLBUR1m9Do/No6p73AKSgooKa0mLjQALfp7N6bpuJqmYeGHutNegRHML/X2Vz9/It07dqVadOmYTKZfFKWTsuxZ88eihdmQFxc7TZXsTbe8tw0hH27YuhG3kmRY583Z+Sp8TruCBoV71QQmYxGXhp9Bo+v28Kdd97J3Llz6dmzp5McdFob7gSNIzZLGcLgD+rElicDietS2y3lZXHjLL7GGc48NlpxY/cINYagmO50GjObrGWP4B8cS0jHIQjDqdegvdN+O6M9JC8vD4OAb7fnAM7jb+zfPREY9mHczoZztzZxo61DpF8AD6b045nb7ub555/3elk6Lc+Wz9eyueRPzDb3tqSNl9GKG0fvjX0eHW/MpeNtnM2jY+eugb2IPbSH0YMHUV7uvstOp+0hrZUgbZgrDtcOA0+LtdXGuwC13xvjLfGk68zdGkvaYdaOHzt20dQUz5JfUBSx/a6haPdXnMho+st5W+S0FzgpKSnEJKViMjbtUjgTNN6iseLGk/po04yN6sgz6UN49dVXsVjaT1ecjsK02TdhlTaM9axx48xj0xiB0lRh4zghoHZOHU9wJXKiAgP479gzObNjHB9//HGj66fTNLw1asoRg38EGPyJCO3s0nuTUWDAeLC40QLCXvfCkj2neJeMmSXKcg8eeGi0H18QljKS+MEzKd7/M21hQJG3Oe0Fzv3338/IaDNTBiQ5neNGuyyDMxorbJorlsdd3ZzVIS0wlJSUFH799VdfVkunmdm1axePznqEm1Mur12uwd1QcHeeGzuDo221H1cMjSmu/TjDWd7ayQCh/hgcd7jz5FzZLY0vv/yyUfnqeIeYiB51Pk1FSklF3kpMoV0JDlfyczaBn300VVNxrLddrDiNu3HiodHiOAGht2ZdDohSYs1qShq3BEVb5rQVOMuWLeOOO+7g5y8+5oVLTx0ibZo61iNx0xS2f2rxitCprx6uusxcHTdlyhS++uqrJtdLp+UpKSnhmWee4bzBY5icMJa4gCjA8xmKm+KBacwsyFph5WwJB3A+X05jGJ+SyG+//cbx48e9kp9O02mK0DGXZ1CRvxxrTRFJna+r7Z6yY/fkNGYxzYbiSuR4cpzX6yIEIYlDKT+60et5t3ZOS4GTmZnJlVdeScKh5Xw/8yzCA/1rvTfaZRgcxY27+BpXeKPbytOupoZ0SblL2/2TX/j666+x2VrP1OU6jeP+++/nf8/NZ2L8aEZHD3aaprnjY+orf9+uGKdLPWjxRldVqMmfMbERLFzoetZbnZahoULHWlNEed4yjP5RhCZejEiNre2e6hVRQ0aB8qhrDnHjjPq8Nw3Bvq6Vdn2r+ghNHEpZzoYmldsWOS0FztatW+kTKXhgbA96xIfV2RdbpAQdemPElCd4Yx4cx+9asePMS+TqGDtpgWGYCkt46aWXKCoqalL9dFoOi8XCTx9/z8QOoxke1a/OTL72+BhnE/tp0zQFxxgcd/k5Ezn14Q1PzqXpKbz6wH2sX7++yXnpeB9Pu68sVXn4BXYkMGoQ8bFnANQGF+8uMZGbY63tlmoOcWPvWtIGD/sq1sYTwRMQlY7NXE7JoeXYzM7nCGqPnHYC5/jx40yZdBm9OoS5TONtceNKxDRF3PgiqFmb3yOpA/jyyTnMnDnTq2XoNB933303ZZYKgo3OlyAB191I3vTqaIWOVlg5luG4TTuKy1dD1ad0TWFcckfOP3sUe/fu9UkZOt7Blcixmk9QkbcUoynq5DbVe5NRYGDdNtmsnhtncTOeluuNmBtnIkcIA/FDbqYs+zcKdnzS5DLaCj4VOEKIC4QQ+4QQ5UKIz4UQYUIIgxDiEyFEoRDifl+W70hOTg6zZs0iJsTEI+N7ASdjbUARNlpx4434GFdxNr4aceWsHE/L0tZzQGg0MxK6cmjxCh/VrP3Q2uzcarXy6aef8unbH3Fe7HASAk4VBw0N/G1OnAkd+9/GCh1X3VTZezvw6PABdIsMp7DQs4VCT2da2tYdRY7VfILKwnUIv1ACowYTE9EDy8gU4kYpdpKbY8W04nCLiZuGem18WcfguD5EdDkfa3WZz8pobfhM4AghooBPgQeAToAAngTGA7uBZOBcIUSor+qg5ZprrqFP1zQiDqxi+0PjiQ8LOGXxTDt2UeKNIGJnNCRfT7qYvIFjGRZp44PcA4z+63VeL6s90drs/Oeff6Zz5848e8t9zEyZwkXxo2r3aVcHd0VLi5uG0tRYnG69C/n58BEyMZKamurNqrU7WpOtS2mjLOcHSrM+x+gfQUTKNGKj+lF9XX+GTYqqnefGtOKwT4dhu6IpZdZ3nCfBy868ODZrDSUHfiYgMqVR9WqL+NKNcCmwSUr5DYAQ4jngB+AnwKiWLYBmGZy/dOlSVtwxmp4dwutsty/BAN5bH0qbV2PSu1pfqrF5eZJOi5SSJzK2YBSCF198sdH1OE1oVXa+a9cuBphDeWrI+U5XB2+tXhtnuIsP0lK5Os/tcHAtjrMcr8/N5+ala/lu6XISExMbXdfThFZk6wJzZRYRqdcRF6MEz1tGptSuL7Vum8QubpqT5i7PU6TNyrE/XscvKJaoHpe1dHWaDV92UfWHOvOr7wA6AGuBXsAhYLGU0udTia5cuRJT9QlSNSOktOtLNXZl8MZi98poP477m6MOriizWlhTkkeXoDDmdB/OsmXL2Llzpx5w7JxWY+c2m43X//kSQyOT6myvz2PTGsWNHWd1a0g3VX0enp8tx0lJiGDLI/excOFC1q9fz+HDhzGbzQ2u62lAq7D1mIgeBFKDf0AssdHKYpIyOYK4UTH0iqgBnC+D0N5xNiOyHWt1CZX5uzGFJVB+5A8q83dTU5qDtaZ9z+QtfDW7oRDibeCwlPIpzTYzkCqlzPHg+JuBm9WvQ26++WZ3yd3y559/Eh8giQo+ub6SNV5pOP0sVmRRKZVFkqBoD5YUd0NlkXItg6JF7f9NxVle7urprFxn6eurX5XNSrGlBouUWKUNi5SYkfTq1QuTyYTBYKgzKqc189ZbbyGl9EllW5OdFxcXc+TQYTqHRCOAcosy70eIn9Vpevv+1o6r+gcE1hXphlD/Ot9tZWan+7TbAY5VVFJltWKxSSx+/tRUVRIeGUXnzp2xWCz4+bWdJfvakq2fdfakRtelpvIofqYoDGoAvQw1ERLpR6DRRkm1AUuZBVFW0+j8WwUm9/endNgvapzfJ3ZslmqsNWUgrUibFaQNaTNjCu8EwgCINtOmr136pUd27kuB8wJQI6V8RP1uAqqBYCllg8apCSFkY+t58OBBhvTtSdbsCfiryzHYvTcA4a9/36h8oflmI9ZSX/dZQwKaG1r/mXvWMDQslq9rCjGbzZx77rlcdNFFXHLJJa3avS+E8GWj3yrs3GazMW3aNDpvOsbVnZS3Wrv3oy11S7nCnRdKuzCotquqMcPIg0bF88Omg7zw/R+EVsGSnHx69OjBRRddxMUXX8yoUaMwGFrv4NO2ZOtdJs1vVJdOdUUWR/e/TWq/x2sfyNXX9eeGs83sLjG1WPdUc6ANYnaMs2nMxIKZS/9BWKfhFO/7CQQExfUhuEN/QhIGYgw4Gc5R33w73pgVuiEc+OZ6j+zcl68mf6L02drpBexr6I3QFI4ePUr//v15+NzuteJGS2xROZ5q/JYQM85wF1/jqo7OjmnM+QQIA5/nHWJOl6GkB4axbmsmX//6JA/cfidnnTeW6dOnM2nSJIKDgxucdxumxe0c4LbbbuPXb5Yxc4hn/ettSdyA+3icfbtiakVOU+fGqVydhyG7jFV/HuHanukcveFythYUsXjZIm5/9y1KgsO49tprmT59+um4ErnXbV37wPZEkNRU5ZG952Viky6rFTcyWRkSPjimgt0lpnbdPaVdYdwuKjyd7M8ZBqOJkoNL6TjyQfyCoqg4tp2KY1sp3P4pgbHdCRl0PsGdh1GfkvCVAGrKuYFvPTgxwD7gMpS+2o+AP6SUsxuRV6PebKurq4mMjCT3X+cT6H/SnecYf1MfrUXcOKOpAckN4fcT+XQwBZEWWHeQRJXNwsriY/xQmMWO8mL+du/dzJkzp9W4O338Vtvidg7w4IMPsu+DDczu3b92my8n8Wsp6gs61npzGsuJmhp+OJTN1d07n2LD2wuOs6A8l09W/0ly9z68++679O3bt8lleou2ZOtdJs0/dXs9IsdqKSdj+2zSBz6PUNdUk8kRRE9L55EzSnl6fVizTujXknhjzpzy3C2YwpLwD4mrs91mrqTs6EZK89ZRU5BB+ICJRJxxZatp0zNemeSRnfvM1yqlLASuBz4AsoA84FlfleeMgIAA0tLS2H2sFGicUGnN4gaat37Dw+NOETcAgQY/LohO4pVuI/i8zzks+s87PPXUU05yaH+0BjsH6N27N9lVx5q7WLe4m2unsdQnzLwxIWC4ycTUHum1jbl2/p1+sVE8kdqLw6/N5IZ+4VxyySXk5XlnbazWTnPYen0LTBr9QjAYTFhqlPXDtCt5byr0d3VYu8Qbw99DEgaeIm4ADP5BhKeMImnoLBKvnkv5vjWUbvuxSWW1BD7tTJZSfi+l7CylDJVS3iClrPZleY7s27ePPXv2UG2xcsnba8gd3LC3u9YubhrK0A3f+byMWP9Anug8iKf/NZvs7Gw++OADXn31VXbv3o2vvIUtTUvbOcDChQsxYGDRsT3ct31hi19rbwsbLfWN/PL2rMfdehee4hnyMxr423n9GRzvxwcffMCqVauYM2cOP/74I+Xl7XdkSnPZuiuhU1WeidVSjs1aSfaeVwgxmpwcfXrh63l+AooDiO83g5LfF2A5kUfpzl84sW0R5uKcFm9n6sNnXVTepLGueykl//73v3n4wVlEB5vo2zGc72eO5MTtl7SL7qnWytqSPO7e/zsRRn+GhsUSavTn99J8jHHRnH/++YwfP57+/ftjNpuprq6murqanj17Eh/v2VwmDcWXbntv0pQuqr1793L11Vezd9tOJJIH0m8kOSih2buo6hM23izX08Bju+DxRveVlqBR8Qz6+4fszC5kYGocw7t2ZMeJKjZuOcDQESM5//zzOffccwkJCam188DAQAYPHuwzV39bsnVnXVQu06sPcCltHM9dTFHOTxj9QwkK7UrsdY8xbJKyTEN7DjDWYhd/tdfFC91V7ijN/o28DW9iMIUSHN8HGRZEVeZWhNGPwOQBBKUMwj+6E9JqAZsFaTXjH5OCMdD1kkhNwdMuqnYtcOzs2rWLy8acwYPjenDTSzd4HH+ji5vGUWm1kFVdTpegcIz2QEApyawu5/cT+fx+Ip/DVWWYDEb8hQE/IThcVcb9/3qU+++/3+tBym2p0W+KnVdXV/PEE0/w4Uvv8o+uN+Fv8GtWgeOp18ZbZXvLS9QU4bO7qJgOwUEknZcMgBw5iPKlv7NyVzaLtx/m193ZmK02AvyNmKLCySs4QUpSDHNf+4jBg52v7t4U2pKtN0TgQN34nKqKLHL3v0Ps4On4T53MDWebWXQgUI+/8RE2cyXmykJMYYkIYcCaEoGUEnNRFpWZW6jK3ILlRB4Y/RBGf4QwYC4+SsTQKYT3vxjh593uQ13gqJSXlzN9+nQMB37nw2uHETBtXO0+dwKnvYub5gxO9oTs6nJeP7KbP0OMPP3001x77bVeG47blhr9ptyPP/zwAzNmzOCu6CtJDFT61VtC4NQ3PN0X5XuzS6wxgkc7PF2OHFRnn1izuXabxWLl3c9W8sS8rzj/ost4+umn6dSpU9MqrC2rDdl6QwUOKCLHaqkg99D7+JtiiJ72AHGjYkiLtZFRYDhtBA40v8jR4snoppqiLI6vno+5KIuokdcT3PVMr3kudYGDMgfOZaMGMSgpklcuH0iQv7HOwppaWtPD3pc4mxOnNZ371rIi/htaRWpqKh999BFBQUFNzrMtNfqN7Yq9Pf0svjy6gzl9LsJi6d2sXUXuaK56+Crmx1Ox407gOONEaSXP/+d73lvwOwsWLGD06NGNrqOWtmTrjRE45r1/cvTAOwSH9yLmzOuxpcXU6Z5qzlXDW5rWKHCs6cr9bDxYXPt/zcqVFK18l4AOXYkZexvC2PTZaVp8FFVrYMaMGVw5sBNvXTW4jrhxpDU94H2Jqwn/7CuON9cK5+4YEBrNK7YOlC1fx4i4JAoKClq6Sq2eRYsWsShvDx8PuZqBEa1rwsX6BIwvhIk3xZt9BJXjxxHt/DtizeZT9gPIpE7IJMVbEx4WxNMPXckHL83giikT+eyzz7xW5/aKlJLc7A+J6DmB2JF/RRj8ah+iGQXKo6y5J5w7XXG6HER6pNP/TWPGEP/Qm1grT3DsuyexVVdgTY+sk8ZXtFuBs3HjRg4fPsx953RrNWP3WxJPxUtrEDomg5EnOw9mYGgMQzql8eeff7ZofVo78+bNY2bqGZw1qMpjj4MvRzk1ZxnacjxZV8tb4qehIscubBz/Hz+6H4s/+TsP3Hc7zz//PBbL6fGyBYoXQPupj8qCXQCEp51be7wW+wR/uvem9WEICCLmzucwJqdy9PtHsRQeBagVOr4SOy3/yu4jzGYzBoMBW+vvgfM5jREsnsboaPP2pifMIAR3dupFUkAQI/r2Z/DoUYwfP57w8HB69uzJuHHj6s/kNKGmpgZoeFfe0Jhin4+m0oocV7E5jrE7jSnH8Vh3eXkSI+QJzkZnOVvZXCtonG3rl9SJNd+Ect1d/+Hll1/mqquuIjU1lfDwcCZPnkxUVFST6tlW0AoWZx4CabNwcrFy5y+t1pQIjJweIscX1PcbOEvnKcLoR9Rf7qV0+f84NvdmTCm9COg6EBEYjCkxnYD0k5OUems26nbrwRkxYgRdu3blww2Ha7e5CipuaY+FjmumxKXxY//xnH/4BLtffpcVj7/I9AmX8NJLL7V01VoNjz32GG9l/I7FZmvwsb7wsjiKGkfPijNPS1PETUvjat4duxdHHMmuN4+kof1ZtvYNlnx8D9F+WRza/hPf/u91zjrrLIqKirxa37aAM69OcHx/hMFIec5G4OQD2N49VesNSHE/WaCOazzp4mvK8glCCMLHXk3H2QsIHjoeW3kJ5qOHKJz/BGXrfjhZhsaz4+zjcXntOcj47bff5qPn/8HiW8+u3eYsDscufNpjLE5TxZunXpzmvHYZVWX8bc9aCmoqPep+bEuBl42xc7PZTEJIBF9fNoaIwh5Ol2hoDQtventUlTPvkHZ7c8f/OFv00x5w7MyL4w5xJBuxZjNT5n7LpDse5frrr/fsuDZk62l3feNxevuD9/i+H6guOkDC8LsA5WEbN+pUgZmbY6W9zofja/HmzovjTtzYhUdCopHcHPcrmztSnbGTok+ep+M/PvAofdY95+hBxnPmzGFgUkS9sy3aRU978+Q05/kK41nfAAAgAElEQVRoA5V9XW5aYChBBiM7d+70aTlthfnz51Njg+qcpNptjh4TXyyb0FCcCQ6tN8fTOjqmc3W8q/+dle1rPPHiOOPCgZ1ZsmSJl2vT9rCmRGBJDqN434+YIlJdtulpsTbSYm0kJBrbnSenvmUsfEFD46QSEo31pnGW3pTSE1tZMZZi7y570q4Fzv/93/+xuiyC8/7zK7knqoCT3pqC6JDaj5b2InJa+jx8Xf4Z4bF6w69y5ZVXcut9dzDl9094eV9G7Xb7A7wxosHXaOvW2LK9IVB8fc6uRlR5ynl9U1iyZEmrnxK/ORDCQNyEWZQdWcfR3+ZirSkDFG9NWqyNi7pU0Suihl4RNQB6d1Uz0pggYbu4SUg0IgxGAroPpnrvJq/Wq10LnFGjRvHHH38w/vo7Gf3+TrbleOaubGlx0FS8Vf/GLk5q/3gbrXdoeHgcixcv9noZbZHw8HDmzJnDuq1/sCpgB18cXYKtlT4Q3YkSTwWLYzp3Akm7z5cizpPRa+JItseeHLswSu8QSXBwMDt27GhS/VojjYmtCEoZSOL1r2IKT+LIyicwHz8CnIzDGRxjdnpcWxc5zVX/psTXALVdU/V5cpztD+wxlKo9G5pUviPtWuAAGAwG/vWvfzFnzhwueXsNVeaG9Q3q1E9TRY0n3Vra/f2m+jE0LJZVq1Zhteq/p50+ffqwbt06CtNqWFW0kU1Fbef2bognpjV0t3mKJ5P+OeIogsaNG8eyZfWvm9ce8ETwCIORqAm3ED58Cse+fQLDftfiUp8Xp2F483olJBpdfpwR2G0wVfua5vF0pO20gE3kqquuYuBZ57BgSzY1ny4jtqhhK/62da9Oa6Y+ceTs2pdYaoiOjsZobFifb3snNjaWOXPmsPDY762iW0PbBeUNUdKUPLwZc2NfYdzZSuOOw8S1NDTYGKCgoIC4uLgGH9cecCd0wvpegCEonMqMjeTmWNldoqwsPjjGTFqsMqLQ09gRncbjrTlsrOUlGEO9GxN32ggcgIceeojZq4+RM2pAne0F0SEuZzm20x5HWLmjtZyvK2GZ17vYa9PbtzfGjBlDz6Fd2VC6skXK14oZZ8PEvVmOvYyGpHf13RFX3U7uuqOcLdlgn8HYE3Hj6L2RUrJq1SrOPvtsF0ecHrjy6kQMvZyiVe9iPVH3N+kVUaMEGjfDbLmnC00dsq3FHgxuJyHRSPWBrQR06e/mqP9v78zDq6jOP/45NxtZSIAkEPZdwAUEqVDBDVxbrYpWRKxKcf0pLlWs2rrWXaxWxLrbal1bFVSkdUFAUHABUYQgYYeQhCQkIft2fn/MnTC5ucvMvTN343ye5z7JvTNz5p2578x873ve8x7rHFQC58QTT+Smm25i6m//RsPrn5FTXsPLG5MjbVbM49nFFI7RVMu3lCqB4wMhBO+99x7FXTbzQeF2SzVnnOz68Zc3E0yUx3OkmBm8FSA0i7dojS+CHR4OB/Jv6paXsOaDTWRmZtK3b1/L7cQrxgdr+uDxpA8/nvLXH2ZbqYvVZdqs1XoUx+qonoOdQHNMBcLq+TaKnIbNP5AyeJSfta1jm8ARQnwhhBhveH+qEGKTEKJGCPG2EKKz+3OXEOJ1IUSZEOImu/Zvluuvv5796T1YvGkvADOGNfLyxmRTURxPomFag2jCeD70bqdQz5G3SFJrq2T5lrKI/aqNBV/Py8vjnnvu4bv9y1hd7uogLiIlcryJGE9b/CUM+4sImY0UmTk+Xcj46obyRyjiRkef9mF5YUnc+rm/HA0zD0pd6HQ+/3KairayY9X6tm4qoN1oKoj9RONI4YS40ZPC9b97djbQuHUdKYOOsG6gH0IWOG6nfwaYaPisK/AGMBvog1ZX+y/uxScDG4C+wIlCiIxQbbCCy+Xitttu47GClHaVjT0jOf4eytEubEJN+rW6nef+7O7eMrb34xvN3PxEPr2Gj2L48OG27icQsebrF154IaJ7E8WNuy1vG0gEeObWeKtebAVf0RjP9r3t184cn2BIndi97RUKxu6p1Ind2XdoGg//vJNLL700RAst2hElfm5W7IjEJDqfOJWqT19ri+IMyWzpkIsD/kVOJOrM+EO3x59NTucXORW5gQPipqiwhcqFL5DcfwQJmd6rgge7LzsiOBPR5rSqNnz2G2C1lHK+lHIf8BBwgXuZABLc2+gTi4SVadOmsXnzZr7eXt4u2dgziuNNyHgTNtEudiK1P2M0x452f3yjmaUVRby9dytvv/12JCZRjSlfT05OZvbs2ayu+qLDMifmofInOswO5fZX9M+u6Iyd+BI1ZqM3+tBxz9yb/XWNnPfEB1xzzTWceOKJIdtpkajz80DRnfTxv6Zh84/U7T4wNc+QzBZGZDUyfqRo96D2FAyeIiKaRE4g7Bz1FKxYCqUbsKiwhZqv/0ftms/pdtHtPtu3EtkzErLAkVLeIaW8DDDGcEcCxvFe64AebmX/MTAC2Ap8LKW0NpzJBpKSkpg9ezaP7dCcfsYwLZTpq6tKf1BHs5Dxh5WITqSTi/1Fx5ZU7OGB7Wv5aMUX9OkTfPg/WGLR12fOnElNZhmfFpf67NZxGiuiI5JTSdiBlWHhvmriVNU2cNqD7zDyxDO57bbb7DLNNLHg554PPFdKKhnHncOWN/7FhspkCqq0z8dkNx1IOO7XXsT4i47EksgJFV8jzZxK0C4qbGl71Xz9PyoXPk/ulQ+TkN7RhlBzqJx6YmcCbVJaStkghGgGMqWU1cDUQA0IIa4ArnDIPn7/+99z3333sfan4Yw6rA+gdVG9vDGZ2bkdr08zdVoiLQ50O8C8ULHLZl/79dW+5/n0XM/zfC7eV8jDO37kk1VfMWbMGDtMtouQfN1pP09LS+P666/nH/e9yUk9prRbZiYXJxLCIlZq3PjCymgpPaFYThiNWLGGytoGTn/oXUafdDZPPfUULlfUjAOx/Z5uTDDV0bstrKA/BFsnnsOe+6azcX0Rq7O6MSSzhSGZWp2sDZXJFBke2GYiH7rICed8VtEirMIx+qx61SKqPnqR3P97jKQe/dstsys5PKA3CSFuF0I0e3m96GezCiDV0EYympjaZ9YwKeVzUsqxUsqxZrexQmpqKrfddht/fvhD4EAUB8wNG/dGJCI8vvYZ7nmojP+HkqPkrYvr032FPLxjHZ9+vdJRcRMJX3fazwFmzZpFVWYJHxeVBBQsvhJ+7c51CbZqcaxh7ILyV8VYrFhDRU09pzzwH8aeei7z5s1zTNxE8z1dHz5sfJml15Au5P36PHa/9WK7KI7eVWUcNm6lOybU3Byz20dK3ATbzRVMl5FO9VcfusXNX9uJm1Da9EbAK0hK+YCUMtHLa6afzfKBww3vRwCbpJR1oRpsJ1deeSU/ba7hi1UF5JTXMGNYIwvezQl6VBWELwHZ136M3VGB8oecjDjZkeT84xvN7Gqo4aHtP7D421WMHm29KqwV4tXXO3fuzO23387Kqk/9jqjyJSSciKgE02a4IjtWRkzpo53Ae/eUZzTHn9C59uXFjDnpbJ588klH88tizc+tiJ68M6ZS+cO3rP9uC6vLktp1VZ0+uL5N5OjzVFkhVAHirzssWiI34Gz0pqiwhcZdm6hc+CK51z5BUo9+bcucGNLvVPxzPnCsEOJYd/b9A8DrDu0raFJSUrj33nu59f7326q+njWltG15sCLHaaIpF8iKLcFEd+bu2sAt997NqFH21kewkZjw9SuvvBJXXhOFDds6LPPsigpXxCSQYIlE5MaKuPGFUcSYnXtqVcEelmytYs6cOZFInjdDVPm5L7GTkJpGr3N+x67Xn203ZNw4qsr4IA2HyBE7K9tedrQXrQSKthUVtiClpGLB38k67VKScg+If6fqFTkicKSUZcAlwCvATqAEeNCJfYXKhRdeSHVjBu/++bUOURyd5GmTgqqRE2nCkRNkNsfGShv6tmv2l1GQmcSNN94YvIEOEyu+rov54iH5SCktd1VFgljPxRG7dyFWrGl7dViu599IyU2vLuW+++4jIyOslQRME81+7il0ck/+DXW7trN37dq2wn+giZzpg2raRI5nJMeM2LEjH8fM8O9IkrDF2nWnn39j/pQxkVh/AdT/9BUt+8tJ/+Wv27WhL7cb2wSOlHKAlHKl4f0HUsqBUsoMKeUMKWWDXfuyk4SEBB5++GFu/XAddXWN5JTXcNaU0nZdVTq+RI63UUrRkHAcaUIRecX767l/7/c8/vjjpKamBt4gjMSqr1944YXU1tby1u6fgI71ZjxxcpoFK4Srxo2v6E2w9W2Mosaz+8q47C/vrqS1Wz8uvvjioPbjFLHm5/qD1pWUTJ9pl/P9vLn8VO5q66aCA/k4usjRhU7jCf07dFsZIy++IjDBEM6k5WiiubyIff/+K12nzEIkhCcAEPkwQxRw+umnc9SkX3PX5c/wyL+u0xKOPbqq9Ho5niLHWCwQIiNszIzgioaIki887f/mtQZuKlvJpdfNZsqUKX62VFghISGB5557jt/85jf03TuYCbmpfFvWxef0BZ7dVr6WO135ONqpW15iWgR5RnJeX7GBl78pZOXKlQfdxLF6pWF/GLuZzDIgp5X+Z03i4yWL+Pnfb7P6yvMA2kZUjclucq+pt53Qtt22XtnsXe78LOS6yImGKI7Zbrq8XgleIy3bSl0Bu6da66rZ+9ytdJ50AZ0OOcrrOkWFLbZ3VUXvUy/MPPnkk4wc0p9zH32XcbOnAMkseDcHppQyY1hju0iOkZxpkzgCTeSES9z4SiCO5qiRmWH2AB+8XMGlG77gtxdfxF133RUO0w4qjj76aKZPn84Hf1/EhFz/4tFsbk44hE4047PYn3voty+m3/0en5Tt5/PPPycvL88p82KaQCLIlwASQjDx1pv49Kor+XricYw5rmvbMl3oHNiH9ndMdhOrs5JYhFvk6G3FccQlkLgJVnDo2xUVttC4I5+SudeTfsyZZBx3blDtBYvQk2ujGSGEDIedzz77LG/OuYP/XjWRqmvObJeHYxxGDgemdtA/zymv6RDNAWdFj69RVGbW87VusPv1hb4Ps9vc9sGPJI8/l4ceeigo27whhEBKGZWZm0bC5ec1NTUccsgh/LL515ye16tNmBi7aDat71gyPVLzVznF0EPL2o4zlORiXeB4G0XlTeDULS+hqKaOo+Z/xs6dO23Nu4klX7/zu09sbdOb2Ml//TXKf97IzMf/zJjspnbixth1ZWR1WRIbKpPZVuqiqLCFhC0V7SI6dgseYxRHFxxOR5A899f23mMElVGoeBJI/OjblL/5CIk5fcg86cKA9pgVVN+cf6wpP1cRHAN1dXV0TdWS0rSE4wNCxtes4wc+T2bGNWd2EDp2TldgJ8HYE45urv/lF/PPOec5vp+DmbS0NMrKyhgzoBPgvfvJ6wN/fXQkH9uBcTJNpxAr1rSJHuMM4akTu7P4xZVMnjw5apOKYxFjtEcXOy2NDSR7nOOeaa3sqXV1iOToaJ/XU1CVwOqyJBb1yqaosEtb8q2dkR3PLqqEHZVeKwv7EjyhCKJA4kYn1ATg+g1f033W9JDaCJaoKZMZDUyZMoWlm/dSWqPlzumjqgKx4N2cdknJVdecGZbh5WarBnurSROtOTkJLkFSUlLgFRVBI4TgggsuYP6eH1ldrt0Cvi3r4jVqY2TooWVRMbml0Z5gZvsOBTOTauqjpnxN21C3vITU4VnKzx1kRFYjI7Ia6XP8iZSsXEFjbV1bXZw9tS56pgUuIDgks4XzB9bzp6P3M+PYJnInZrdLRHaqLo4n/sSLvizUSTftqH3jUwgJF5hMKrZ7NJUSOAb69evH+RfP5LpVu6mtO9D15ClydEGjY6yd8/LGZK+FAqNRUFitYRMO0pITqK2tDcu+Dmb+/Oc/82P11+xp2N4mcszgKSg8J8m0G1/ixddnZoSOHWLIn8jxjNp4bpc6sTuJm2uVn4eB8Uf2ZsDYI1n0yFO0NDW1fa6LHM+XjvEzXeicPri+beLOYAWFmSHiRkFjJTJjxSYr65rtNvK1nkhOQTbWm96fnSiB48Fjjz1Gpy6HcezZj7N1hyZcfEVydKGz4N2cdiIHvE/c6YRIsDKRZrCEYrfVwn6pSYnqxh8GhgwZwnsL3+G/ZW/xY/UqvisTHaI4m9Zne43q6A93T6Hg5JByo3hxIlrj61g9qVte0vYyg68aOF2OzFZ+HibO+NMN1FXt55UrZ7M0v7It92ZPbcfHn6fQMa5z/sD6DlM+WKlnYyXik7Cj0pS46dDNZEK4mO2aAtrVsLGCcRuRlIJsjExFASVwPEhLS+Nf//oXF8+8iaN/NYeH531CY2NzO5Fz1pTSDoLGLNEWyTE7uilcpCa5qKuLmlkO4prTTjuNH39eS37NGhbs/UfbjOOeD/tAD35vw8dDFTpWIjehYuVYvWFW7Bhx5VcrPw8TKRnpTJ1zN4N/OZZnpl7JM/MWsrFcW+ZN5PjjwBDz9rNwBxIvTgwHDyaKZEXcBIunIBLJnZBNSuBEDUIIbrjhBlZ9s5Zla5oYfcrDLPlyEznlNczO3ceMYY3MGNbYTugYu6xuGaUlVPma0yqaRE60JT83NLcedPVAIsngwYMprN3BrXP+wCfNbzJv62es2JvWocif8cHvre6LXfk44cinMQo4b4LGbDRH727Sz4W/IeGeNLS0KD8PgjHZTT5f/hAuF8ddfhGXvvBXNiz+gmt+fSMfLd0EaCJHf3niLVcn1DmtzOKtuKDxvR7lMRvt8SQcM4YDyOZGcGji2EBEz5M2Chk8eDALFy7kvffe45JZl3H8+CHcd+sZ6NODzc6t0erjuCsf6zyy9rW2/1/emMyMYVq9HOhYGDAQdta38TZTd6B9h5ufiqo44ogjwr7fg5nExERmzZrFeeedx80338wf33qaY7JOZXDqCIRwAe4b4fqOERTjUGtvdXPMCp9wJQkbCSZaEwizIuensgqOOHK87fuPJQKJErvaM07XkDuoPxc/O4cfF33GvZfdx6enjGPajdPp2r1bu20883F08WMcebUIbRRikfv6SMDcyCozI5+M7XgTOf4iQi39sry2bRRioYobs3k5srWF5uIdJOUNDGl/waIETgCEEEyZMoVTTjmFBx54gDGnPMzUs47i9lmn0Ltnl7bh5LrI8dZ11SZyymvaojlHsNiUcHE6whJN0aQlr9RQV9tK7969I23KQUnPnj157bXXWDxzMbfccgvL13zGcV1PRpYNd08A2aVN5OjdMqkTuzNyoqGbZr32xzhDeSCRY7e4MYouJwh26gYj68r2cezIkTZYowiELnx0oSOEYOSvTuKQY8ez9LlXufqkqznyN6cy4ZLzYeiBIeWeIscXG3KSD1RAJrDIMY588iZEzIgkMyLHrw1bKoISOZ7CRu+O8iV4mvfuxtW5G65OaZb3ZQeqi8okGRkZPPDAA+T/vI2M7uMZdcrjXH/nf9hTXNmWn3OWRyTHiN5dpb+Sp02KmLiIJlFjpKCuiiGpmdE6m/JBw6RJk/jmm294472XKOqbzz+L5rGtbmO7RGRPAeGZeGwcSm7s7gpXHZ1QRVMw2/tKPpYTRre9dNaVVTBSCZyw4hnh6dQ5g1Nvupqr3nqOlqYmnj5vJo/c9Q+qyivbhpP7Qh9ZNSa7iemDajh9cL02jLyf+aRjO4v5OdVN5om/hGNvCclNe7aQ3GuQ02b5RFUyDpLi4mIeeeQRXn7pGT57axZHHt6H0m7pvLwx2Wckx8iMYY0RqX4M0StwnlxWwI5+xzN37lxb242l6q7R5uetra0sWLCA6eddTv9OfZnU7RzGdNN+zY7NrmDooWUdIhrGh7wuhLxN7Olkt1SoERx/tnmL4BiP2XO5UdiIFWtoaW0l87JnKSkpsb3QXyz5+vxtH0Vs/8ZuK53KohJWvPwmP32ylJn/nMtJR+YyJLPFa/TGm/gpqErgtS3prPxBdqh+bAUrBQR1MeVL4OhRGl8zhNsRxQHfwqfyo5cAyPrV70PehxGzlYxVBCdIevTowWOPPcaM31/FPX/9iL1l+01FcozokZxwJyFHW2Kxzk9dx3DooYdG2gyFAZfLxTnnnMOW3evYVLue7XU/s7rc5bd2jjH5Vk8aNlUpOUYIZtQUHMjP+eHDzeTm5qoqxhHEW2JyVl53fnXbdQw7/pcsffYVVmyt9xnJ8VY7B2D6oBrGjxTkTszWZij3UpU4EGaHnhvX8ZpzY0K8+BI+VvAmbhK2VJCwpYKmTfkk5fUPeR/BogROiNx5550MGD6Jw054gCee/5zssmpT1Y919Ek8vQkdJ4kWkaPb8Y/nivj4448566yzImyRwht5eXl88NF8Ptu3kNeKXqSqeZ+p6sfGaIZn9WOjEDJTITicBDouYz0cM4JHFzdSSmYtWckVV1xhi52K0PAmdE667nKSUjvx9Lm/58UXP/U5Z5WOLnL0BOQRWY1tRQE9qx9bwUqNHWgvcloGdWkTGYFETLAix1eNHL292i1f01i6lbROhwTVth0ogRMiWVlZPPHEE3yx4hseePJjtu7QfpmarZOTU17jpHlRjx6t+qlHCTfccAO9evWKsEUKX5x++ulU1hWT4spk9f4v2qI4ng94bzknnmxan+1VGESTyLEDzxnFSypryW9o4bbbbougVQpPjEInrWsWZ/zpBqbPe4j/znma/RX7LdfL0RmQcyDCE648GbAmWpwaLl6z+Su6/OK3JHTqHNT2doickAWOEOISIcQ2IUS1EGKpEGKY+/NThRCbhBA1Qoi3hRCd3Z+7hBCvCyHKhBA3hbr/aGH48OEceVhvft5SYkq06JN06hGcaMLp6sje2l37QzVDhw51ZH92oXwdkpOTeW3h41Q0a0LeTNKwP9HiS+SYieg4OVLKV/tma+T4YsOn2+jVlIQrQnVBzHAw+7mxrk7eIYPpN6QPe7buDridr1FW20qD+571GjhW8nHCmWhsFB/GKJFRWDVXFpPYpWdYbPJFSFeZEGIoMA+4GsgF/gu8KYToCrwBzAb6AAL4i3uzk4ENQF/gRCFE3HREH3LEZH7eot2wzXRT+RM5TubhWJ0+wYn9e7K7oZZBgyKXbR8I5esHOOSQQ6hsOpBD4/nA91YLxphzo4+m0rcLNqfFF3YKH13QWBE2vo6nbnkJWyr30yc1fL/kraL8/ABjspvoNbA3zUU7Ta2vz1ulCyTj7OZOE3BYeJDFAK3gGTVqriwmKSvP6zKzhBrFCfVnxCTgcynlIillHTAHGAX8BlgtpZwvpdwHPARc4N5GoJULSHT/H13DRkJg6NChbNq6N9Jm+CWQsIlEbs7a3RWUpyYyePDgsO/bAsrX3fTp04cGWU9T64Hy654PdeOM2nLC6LaEY0/8iRx/wsdYiTgYEWIXqRO70+mPp/ocSWYUe1JK3i3YzvE3zgirjRZRfm6g14De7Nhc2PY+IylwjS5jMUBP/AmRYKI2gdo0Q6iJxm0VnQ1dXfWF65EtTSSkd/OzpfOEKnDmA7MM748CaoGRgPFn3Dqgh1vZfwyMALYCH0spvfbnCCGuEEJ8K4T4NkQbw0Zubi7l9eaL1AWK8oQ7yhIJcbOvtpELXvmap59+OtpHlTji67Ho5y6Xi7zePahv1eZS8tVN5S8HxxtWIjnROArLU1x5JiI/sWY9JbX13HjjjRGy0BTqnm4gMzuLin37295XN+32K3J8dVXZnecSaDZyq9M42DGaCrTjbK7Zx95Fj5FzyvUI14EE7UhEcUJ6gkopi/X/hRDnAs8At6Ip/u2G9RqEEM1AppSyGphqou3ngOfcbcfEL4KMjAxqarRrW8vDSY6sQRaIhLhpbZXMfOM7zpw+kwsuuCDwBhHEKV+PRT8HSE9Pp6miidXlrra6OJ7oERyd1IndYf2Bm5Ve5XjT+uw2wWJV5IQ7YuNJ3fISWP4/9zvftizbXcST32/gm/yNpKSkhMe4IFD39PZ0SutESW296fWNycgbKg/c/9tyVHyIDTNRGycm7LRKXq8Ev4LDtamUokVzyDjsJNIGHNVhebAVlIsKW0xPD9HOnkArCCFuF0I0e3m96F6eI4RYAPwNmCmlfAqoAFINbSSjial9li2MIdLT06murm57b2W4OFifpyrWuWtuAbt2NPDoo49G2hRA+boVMjIyaJIH/NsoNKxGbvTtIy1WrOA5Yac/22uampnx8QpeOHkC/fr187leuFB+bp5OaZ2ore4ocMx0VUH76IPTOTDh2keHfRqGo1d+9y4iMZku4wLqXcsEE8kJGMGRUj4APOBtmRAiHVgOfAkMdyt5gHy0PludEcAmd59u3JKent4WwbEDu6Mq/rq8ItEd9s3+Uv788rMkJ0dHpEv5unnS09Npbu0o4HVx4yly5ITR1D/8PzyjHJ5zVRmjOb4+87aOP/R9eOtKC3UWdDOibH1ZBXnpqZy54NOQ9mUXys819FwZf3VuUtI6UecjgpOR1JvqpsAjrOzo/vEVvfE1n1UwmImueI6e8qRu51q6/OJ89yS9we/H3/6tRHJCfapNB/ZIKT3rMM8HHhVCHIvWV/sA8HqI+4p6ampqSE1N7fC5makbnCBap2TQhVth98xYqlysfN1ATU0NuSKpXfdU3fISOk3Q/pe9+7RbX+zeZbpto4AxRkk81/GHUTg5JW7Msr68gsNP/VVY9mUDB4WfGxOB/Qmdhtp6UlJ9dynqkRxd6BhnHjfiRGTFqrgJNRnZ2D3lKW50O5r27iCpW9+Q9hMIK5GcUJOMRwLHe4Y6gQzgEuAVYCdQAjwY4r6inoKCAgb3avC6bMG7OW0vHX2YuFNES7ViT/Y21vPg9h+oqqqK+to3BpSvu5FSUlBQwLG5XYH2QsHbEPFA2DkBp3FCT8+/RpwSN8buqlYpmft5KY9sLWLixImO7M8B4trPh2S2+Bzl5O3zPdsK6TcwcC0Xzy6r1WVJQdfAMWFaMOkAACAASURBVINVsWJmfX9RFc/cG891m2pLKf7uOVyJnUhI72rJNicJNcn4WuBaH4u3Ax+E0n6sUVBQwJABue0+mzGsEQLMMj47d99Bk3+zq6KO321eyoz/u47nbr01arqnAqF8/QBlZWXUVzWQ0T+1w8SZdctLSGUN8vw+Xrc1K2bsysfxtT9vk3/ayab12dy/cTE/7S/mxflvMGlS+KZhCYWD3c+HZLa0i+TUFBYy8qhD2o2OCjSSSqeosMX0pJuyb5bl4eFmMSuGPLuOjF1BviI3AC0/bWD3svvIGnQSuSN/hxTRM9drdPZhxCgF6z5m/LlHW9pmxrBGKHfIoCjgy1fr+L66nL1NdfT6RQJfbCnl/EtmRk1iscI6BQUFZCb6r28hdu9q103l2WXliWcuTrgIdZ+6UBrTbR8NPTazpqSMwt1pSCQf1+xg0+ZN5ObmBmjl4ESf0dtzLiin8Fefxhc7txZyxm+Pd8CajgQjcgJ1U1mN9HiKnA4Vi3dU0tJYTX3pRpobqgCoLf6BzIGT6DZiStBiyimUwLGRzdtLGdy/Y6QmUBQn3vh6eznvuI5k6dKlFGwuYNy4cQwaNIoyIeiW6+KWW26JtImKENi8eTNZBoHjmfBrzMUxSyhCw18SsZMsL0nji/KV1I5NZvby5eTm5jJu3DhSh2p5eI+OnabEjQl0oQPhEztm2bm1iL5euqi8RXGMScfaEHHrI+H1ZOJAQidhR6VfMWFWaOiTchrf6xijNvW71lG55nPqyzbSVFtKp25DSUrToqyJqV3JGnSSqf2FGyVwbKK1tZXN20oZPCB6REy4k4y3l9cy5/Of+XBbPbNmncrTTz/NUUcdFTPdUApzFBQUtBM4OqkTu/usYyN27/LZ7eRL3PiL6niKmWDFjdnIkTHp+au9Gfyw/2cWylX88rhfMv2cc3j22Wfp2TOy8+7EA+GO6vijoa6efeVV9Ohlrbs00OzjZgil5o3l/BwvkZSELRVIKWmuLGLf569SX/ozmYMmk9tvIilZ/dsV8At2v+GI4iiBYxO7du2iS1YqnTM6dVjmK5l4xrBGcsprYjr/5ueS/fxtWQFL9iZQVVXF1KlTWf/RX+jSJby/phXhY+PGjXRJ7CjkdXGTOrF7h9+uYsWadmIikLDwlyBsN/o+/NmzYV1X/lP4I1/3LWTV1lWMGjWKl+59icmTJztu38GIE0KnoCrBVDeVnodTuLWQvgPySEhIANoXs/SVg7On1mVIMNb2ZedQbiPeoji+RIY/IeGZV9O4dysVK96lbu96pGyhc59j6Dv5flyJHZ9toeK0yIneKW0t0NrayoUXXkh2djaPPfYYoCVCXnHFFfTo0YP09HTGjBnDv//9b8dsyM/PZ/jgHm3v9Qk0dXFj7J4y21UVrcO8QatC/OSyAk58cQ0Dz7iM9957j+LiYubOnavETZyTn5/PuOxujM2u6NA9lTqxe1sNHOPQ8B+ea2knbvwR7q4m4369vT7Y3cxvv36Xb/olcOONN1JYWMiKFSuUuAkDq8uS2nVhhZPmwh0MHNqnw/QLvsSNt5o4+sPbyZm+W/pltb28LjchIBJ2VOLaVk7VJ69Q9M6dJHfuRc9jbqb/qU+QffjUgOImlOOza5oIb0TvE9QCn3zyCSNGjOCFF17g/PPP57LLLmPy5Mn06NGDJUuWMHjwYFauXMnUqVORUnL++efbbsPGjRs5xC1wjOJGFzN6HRyrNXE8RU40DP3eU1XP7/71NbLncFaufJchQ4ZE2iRFmGhtbWXjxo08edQ4v+IGtMRiK/VvIHLixhefl37DguIlPDJ3DldddRUiikaIHExEoutqW8EuBgxtnxwfaPRUQVVCuykajDgVyfGFKWHjThxuqtlL8TfzcCWl0feEe0hMM9ctZ5dwcyqSExcRHCklLS0tNDc3I6XkH//4B4WFhbzzzjuMGDGC5ORkjjvuOObOncuyZcscsSE/P5/hQ3oEXtGN3j1llSOmJUY0slPT0MyUF7/i2KlXsHTpUiVuwsiSJUs49NBDueaaa0hPT2fcuHG8//77HHHEEeTm5oZlZNru3bvJzMykc2L74mfG2bRl7z7tRk2ZrY0TSXHjrXtqRfn3fFz6Fd9v/IGrr75aiZswsu3btTx93kw+euhJHpxwJi9cPIuNS7/kisn/x4VHTuO9Z//Dj1/9wLUnXcmzd8xj6ohzmH3WDXz9yUquO/VqLh5zAe89+58O7ZrNjxmS2cLWTbsYaBA4/sRNddNurwX+PLFLEPiK2Hib2TtgW4017PnqMdJ7/4Kex8w2JW78RYyCxYlITlwInFNOOYUNGzYwcOBATjnlFFasWMFpp53WYXbq8847j6eeesoRGzb+8Gk7gWOM3gAdivyFii50vImdUERQ8jTf9TpaWiWXvv4to04+m/vvv9/dN60IJxs2bGDEiBEUF2tzIl577bUsWLCAZcuW8ac//YnKSmd/Iebn51NTmtBOjOjiRk4Y7XU4uDHxWM+9icSQcF94syW/ehtvFn7KsrVfMnjw4AhYpSjduoOcgf246ZO3AVj08FNM/eu9XPLCY7z66CvU7q9hV8FO+gzpxz++1YoqP3fX37n9+Tu5/+1HeG3OK9RUBT91zraC3Qwa2seUcPGF17oxAbqUAuFvO8/95fVK8Du1gWxpoujruaT1GEnXob/2K+JDtdsMdoucuOiicrlcvPXWW23vP/zwQ446quNMpk6ydWc5g/pFZrJAuyM6ydMmeU18fuGrrVR0G8J/nn1W/ZqNEF26dOGaa65BCMGoUaOYMGECgwYNAiAzM5Pi4mKyspy7AW3dupXeyZqgMU6p4EvcGD/zNvLJKC48c3S8CY9Qojz6UHJf4kpf3tzawrxt/+HDT95n+PDhQe9PERqdOmfwi/PPQghB3iGDSDryMLr20UaqpaSn8cP2/aRnZvCri89ACMGAQwcxIq0Tef20dVIz0qgo3Ud6Znq7ds0mG+/aXkyfAeaj8oDlfCFvYsFXN1YowsLbLOAJWyqoWvwmroRksg+/wPZ9RgNxEcHxJDs7m9LSjnkue/fu5Z133rF9f1JKikqq6NlDcwZvXU9nTSmNyHxUVvAXvQH4YkspV1xxhRr2HUG6d+/eJi5dLheZmZntlre2tnrbzDaKiopIT+jc4fNA3VBGYWKcTsEb/iI8wUZ+jPNSBWJ3fQmprvSYqT4cr6R369Lm68IlSElPa7dctrbSqWsX1pRr9yOXEKRmeK5jvRYNQGNDE7U19WR17ejrZghm5msdY6TEatTEVyViX9SV5pM5cFKHyTGdjtT4w84oTlwKnOOPP57//ve/NDS0nxfqpZde4vnnn7d9f9XV1QgBGelaXoKeZAwwZG37uiDRLnJ0vImdgtLqtmiBIjJEOnJWVFREWkJG4BUdxKkuLl10lTSW0zc1upKdD07M+Lq2jt0jrcr27iM7twsul6vDKCpPPEdP6XNQOTk6yBuB8m6Mgke3rammmKT07u3Wi/WojZG4FDiXXHIJGRkZTJs2jYKCAmpqanjrrbd48MEHufvuu23fX1FREXndM70uKxjVvU3UzBjW2PbSiaYaOI1vLPZrz7j+3Vi+fHkYLVJEG0VFRaS5MtqGiBvzbzwRu3fhevsDrwX+7BApeht2iB1jRGlQWh92JZc5Hg1T2Etpg/nHWaBk49LiCnJ6+BcM1U2725KL99S62kZQhRK9CRZv4saMHZ26DaG+7GetjQhGbZwiLnJwPElLS2PZsmXcfvvtHHfccezbt4/Ro0fzzjvvMH78eNv3V1xcTF5ue4Gz4N0chqwtoWCU9gDQRU0wI6eihc4piTQ2NgZeURG3FBcX0yOhY16KMdfG9fYH/PCc75urE9GXQFM1mCnmp5PiSqZm337bbFOEjz119gx8KNtbQU5337Ni68LGKJQ8C/yFC3+Rm6LCFq9dVW1TNHTJpCUrKeqEjV3DxuNS4ICWq/DCCy+EZV+L/n0fow4LPLusLm4a31jsM5E3mjB2UzW+sZi1hZXMGjUqghYd3Jxwwgnk5+e3vX/mmWfaLfeWd2YnxcXFfPfVGh4aMQFo7FD3BtqLG+P0BuHAKF6sJiMbBdKu+mJ6d+qByxWXAe6YYMDYUVzz7ktt7399+w3tls9erOVSjj3vzA7rrC7T6uW8uuZNv/vwl2y8/LPvGH64/+74gqoEv11j+gPaya4qqyJAFztFhS20DOpC41tbyRh+ggOWRQdxK3DCRWVlJc++upxVC28GtPwbvXqx3j1lrHljFDWxIHJ06ptaWL2zgtGjO3ZFKA4OHn/8cYamHU7nxDSGHroHcHdPGaI32pBw711S4axz403smI0cFdTsoH9qniN2KcLD6rKkoIsC7i0q56N3lvHBqr+3fWasgeNZ80Yv7Dciq5EBOa1A+xFLdhWw8xRK/tr1lWA8IKe1LUdIbNhNU/kukrMH2GJfNKIETojMmzeP0088lEH9O07FoIsbI55RkWjDW3Jxw+ufMefznzn6+Mn06dNxKLAi/tm3bx/PP/88f+z7O8ZmV3iN3ojdu7ScnPUHbu7G6I1RYIQzumNG2OgiaElJJR/v/YYvV6tcs4OVfz49nzPOP4Hs3C4BE4xBEzYbKpPZUJncJh6cwA6htK3URVFhC67N+9i36k3SBv0CV0pa4A3DiJ0VjZXACZGFCxdy96yjgfbRG09xU9ot3WsUJ9rQu890ql75hGv+s4Yfm7oyf/68CFqmiCTLly9n9OjRnNoKI69IaBM33ioWDz20jE3rs32KF+MUD/q63pbBAQHk+bnncjtYULiVT8vf4aHHH2CU6op1HG9TGozIsi/Hz0wUx1s31bKPv+XBZ/7QJm78RW/GZDfx2pZ0R4WNVYzRG285OK31tZR99DDN1eV0P+NWS20HKz6sRJ/sRAmcEMnJyWF/zYHh6J7Vij2TiqNZ3OjoNiZPm8Q9W/dTkTeSL996i/T09ABbKuKVnJwc9u/fDz5cwPX2B+0qFvvCl4Axu76/5WbEjrGbzFhYcElJJV/KhSxavJDjjz8+YDsKZ/AUPXYKHrN0zc6kprquw+e+Eos9icQoKn/719/rxf4q3p2LSEii57n3IxID5xDZQbgEjSdK4IRIz5492VNcHmkzHGHVo+/y2vyfWLdunRI3Bzk9e/Zkz5494GXqMbF7lzux+IDA8KwY7E2o2N095RkN8oZnd9W3ZV2QUlI2eiM3HXuTEjdRhjG/JRiCieLk9OhKaYB7ui5sPLulPMWFMak30hQVtlC/aQ31P39L76l/o/WQ3Eib5DhCyuAqPYYTIUT0G6mIZrZLKQdE2ohAKD9X2IDydcXBgCk/jwmBYxdCiG+llGMjbYcdxNOxQPwdTySJt3MZT8cTT8cSDcTT+YynY4HoOJ7oyYxSKBQKhUKhsAklcBQKhUKhUMQdB5vAeS7SBthIPB0LxN/xRJJ4O5fxdDzxdCzRQDydz3g6FoiC4zmocnAUCoVCoVAcHBxsERyFQqFQKBQHAUrgKBQKhUKhiDuUwFEoFAqFQhF3xLzAEUJcIoTYJoSoFkIsFUIMc38+Wwixy/35EiHEcMM2pwohNgkhaoQQbwshOrs/dwkhXhdClAkhborAsVwrhNgjhKgSQnwohOjpz95oPpYAx+P1O4v244kk8eTnbhvixteVn9tLPPl6PPl5gOOJTl+XUsbsCxgKVAOnA6nAbcAaYBywBxgIpAAPA4vd23QFyoGz3f//G3jCvexU4A4gDfgQyAjjsRwOlLltzwDeAF4NYG9UHkuA4/H6nUX78Sg/V76u/Fz5+sHq57Hq67EewZkEfC6lXCSlrAPmAKMA6X7pc20loJ1kgN8Aq6WU86WU+4CHgAvcy4R73UT3/+EcYnYc8KGUcpWUshp4DTgsgL3Reizg+3i8fmdCiG5E9/FEknjyc4gvX1d+bi/x5Ovx5OcQi74eTgXogKLsAQwwvB+PpiQTgWc4cFHUAoe413kMeNSwTYp7nQy0Lru30FTq9WE+liQg2f1/Npo6fiqAvVF5LAGOx993FrXHE8lXPPl5AN+IOV9Xfq58PQjfiDk/D3A8UevrMT2buJSyWP9fCHEu2gVwK3A8cA4wBtgEPIKmNn8BZALbDW00CCGagUypqdKpYTsAA1LKJgAhxOVoBZLqgZOBS/BhL1F6LG5bvB6Pr+9MStkshIja44kk8eTnblvixteVn9tLPPl6PPm525aY8/VY76JCCJEjhFgA/A2YKaV8Cq2/71Up5Rr3SbwVGOsOmVWg9RPq2yejKc194be+I1LK59H6JP8IzEdTwr7sjepjgY7HI4RI8vGdQQwcT6SINz+H+PJ15ef2EW++Hk9+DrHl6zEtcIQQ6cBytBDXcCnl++5FtR6rNgMtQB2Qj5YspTMC2CS1vsOIIYT4kxDiIgC3LX8HugG78G1vVB4L+D2e7nj/ziCKjyeSxJOfQ3z5uvJze4knX48nP4cY9XWn++2cfAFXoCU3eX5+LFCEFs5MRQtnfigP9B2Wu9fpCiwE7o6SY1kHDAI6oWWir/Vnb7QeS4Dj8fqdRfvxRMG57HDOYtHPA/hGzPm68nNHzmeH8xaLvh5Pfh7geKLW1yN+0kI84U8BrWhq3vjqD8wACoBK4H2gh2G7M4GtaKHCl4GUKDiWROBx90VcCSwChgSyNxqPxd/x+PvOovl4Inwu48bP/flGIJuj8XiUn9t+PuPG1+PJz/0dTzT7uppsU6FQKBQKRdwR0zk4CoVCoVAoFN5QAkehUCgUCkXcoQSOQqFQKBSKuEMJHIVCoVAoFHFHzFYyFkJ0Ac5DiTSFRj3wppSyMdKGBIMQIhWYjvJnhX9agXekNq9PTCKEmAgcGmk7FFFPvpRyWSgNxOQoKiHEsOysAfkZYyeT0Cnd9vaPHF1te5sAx+Q1295mRo0zz/Pmb/IdaXf3162OtPvDjko2U0k+Fd2llHsd2YmDCCFOdLlSFye6QvPnXkmHB14pAP1TOofcRr/00O8r/TM8a7sFR4+eNSG3kTQk9HMiB/cNuY1KVzJvvbmYF1/6I6OPnClCbjACCCFWPfnUrUcnJJjT8g0tFabbrmy0dkpK6s3/nthRk2B63aI68+sClFabt6Oqwto91FVq/jpylVusv2dh/Zq64sArGajfvxGR3I2Wqp8SpZQt1gzTiLkIzknHzJZds/pxzOjLKJsw1pF9jJtS6ki7Fw+zX4zklId+8/ZGY0KDI+3+uNV+kQcwdGcN62QZtTSX3CvGcadcFXM3f5dIJjExM6Q2uqccFrIdh2V0D7mNMd1CF7Jjs80/2Pwx9NCykNtInRj6OZETRofeRu8+nHnmMVxy8QNcd90W+bvf3R9zfg4w8/KzSUw09/ipbtptut09tdYCoAVV5oXI6rIk0+tuqEy2ZIer1LzdrYXWnvUJW8xfRwk7Ki21LRLMr99cudFS2y0p3WmuWoerU89mIUS2lLI88FbtiZlwuBBC/OKI6fKnTR9x8i9voWtWv0ibpIgyDhfZXMXhvMQGrhUjYy80qVCYYNiwfnz62eO8//4KZs2aIt3z+ygUcYUQLpKyRpKQMQSR1LUsJe80y/f0mBA4QoiUwX2Pba2q3sPkX95Mp5TQfuUq4pc8kcZsjmQZhZwjBkkhREz+wlUo/JGRkcobb95Fv/55HHf8qAYhRM9I26RQOEFCam+Sso+had83JGePtyRyol7gCCHyemQPq8/uMpBxIy8lwRVzvWqKMJMmkriekdTRzFi6t7on8FMo4gohBH/4w/nccccljBo1uHDpsrkqaqmIS1xJnUnOnURL/R4SOw81HbWMeoEDzEpPy2HYwMmoH+MKs7iE4FwGU0EDwLmRtkehcIoTTxzNzTdfwLXXPB5pUxQKxxCuRJK6Hk1rfQnAyWa2iQWBc09iQjJfrnmBlpamSNuiiBGqZRNPsJbR5AC8Gml7FAonkFLyxBP/5rnnP2Dduq19Im2PQuEUrU37ady7mITOw5FSLjSzTdQLHCll48ati0V214F88tUj1NXbM7JCEb/sljXMYQ0n0Ze3ZYGQsVgLQaEIQHV1HRdNv48tmwv5YtkPKVJK88ONFIoYoqVuN01lK0jqOpamcvMjZKNe4OisWvtPMWrYOXz61RzKKrZF2hxFlPK9LOV5fqIwsf6wv8m1qk9TEZds2rSLk076A6eddjTz5r0nYrXApULhDyklTZU/0lJdgGyqyGko+p+le3rMCByAj1c8KPZV7Riycu3LbN29MtLmKKIIKSUfye18xk52UJ3T1NS0PtI2KRRO8P6C5Uy74B6eeeYmLr30QSXiFXGJbGmgqfQLQNJavydRSmm5oFWsVjLO7JM3urKuazqJqaFXGPWk/4B629sEGNYlqGKMfklpcKZwXmtBoSPtlm92ppLxptJq8kjjM3YlSyljLllLCDFRiOQvXK6UkNrplhB6tdzcpNSQ28hJCf2+kpNiT1Aiq2vo13NCXujnhB7ZITdR0SSpqaln0aJVQRU+iwaEEMtn/P6sCcJl7vd1c6v5Yqa1zdb0XmWT+fXLLFQ93tdoLXZQXW/ejtpaa9eWqDJftFVUW7vmRI35W219o7X0kqa6QhKzjqBx77KgRXxMChwAIUQCcDcw34HmzwHeU+3GVLv1wAQp5XM2txsW3PV67sUZfw4Gp757qyg72tMKHC2lfDbShgSLu2bPNTh3PmPpvqXa9s2JUso5oTQQswIHQAjxrZTS9vkaVLuq3UgQTfZHiy3Kjo5Eky3B4uQxxOL9RbXtTNsxlYOjUCgUCoVCYQYlcBQKhUKhUMQdsS5wnMq3UO2qdiNBNNkfLbYoOzoSTbYEi5PHEIv3F9W2A23HdA6OQqFQKBQKhTdiPYKjUCgUCoVC0YGYFDhCiFOFEJuEEDVCiLeFELYUwxFCLBVC1BteL9nQ5hdCiPHu/4UQ4q9CiEohRKEQ4iob2hwshGj0sPvEINq8RAixTQhR7T4Pw0K110ebIdsrhLhWCLFHCFElhPhQCNHTrnMbCZzyZz/7s/RdCyEGCiGWCyHqhBCrhBAjbLbnMCFEgxAiz/3+FiFEqft1j2G9bkKIj9zn6SchxEQbbRgkhFjibnu9EOKESNgihJgthNjl/m6WCCGGR/K7sRsnfF04c4+1/X5oaNvx+5fZa8pim0uFx/PRxnNi6fozjZQypl5AV6AcONv9/7+BJ2xqeyeQYlNbpwLPABIY7/5sJvAD0Bs4AigFRofY5inAayHaOhSoBk4HUoHbgDWh2OunzZDsBQ4HyoBxQAbwBtpkmiGd23j0Z7u+a+AL4H4gE5gNfG+jPQnAl26fzgMmA7uAEUB/oAA4273uq8A/gC7ANKAISLbJjm+BO4F04BJgd7htcfv0HmAgkAI8DCyO1HcT7b6OA/fYYK8RC207fv+yck1ZbLfD89Euu61ef6bbjbTTB3EiLgE+Nbw/Ciiyod1OwFYb7fwL8AKw33DxfQ5cZFhnLvBQiG1eCdwToq1XAh8Y3iehFRQL2l4/bf4xFHuB/wP+aXh/BrA61HMbqZdT/mzXdw30Q7vZp7g/dwEVwHCb7JkN/NVwM34Z+LNh+U3Am2gP/Dqgj2HZj8BpNtgwBtiGOyfR/dmEcNsCjAUK0R6wKcAc4D+R+m6i3dd93A9Dvg84cT80bOP4/cvsNWWxTa/PR5vOiaXrz0rbsdhFNRJNTeusA3oIITJCbHcAkCyEWC2EKBdCvKeH94JBSnmHlPIyNLWu42n7T8CQENscCJzuDmvvEELcGoS584FZhvdHAbUh2uurzdwQ7X0euBxACJENTEf7tRLSuY0gTvmzL6x+16OADVLKBgApZSuQjw3nVghxCDADuMPwsS87DgGqpZS7vCwLlaOATcA/3aHwb4DGcNsipfwWeB/4Ga0y9/8Bt/uxw7HvxiFs9XUn7rFunLgf6jh6/7J4TVlhAN6fj3a0bfX6M00sCpxMoFJ/4764m92fh0JXYD1wEdqXWYkWOrSTdraj/fII1W4JfIYW+vw1cJUQYrqlBqQsllJuAxBCnAt8ANwair1+2mwKxV4pZZOUslEIcTlaOPRstF/VTpzbcOCUP3sliO/a83PjsqARQriAF4HrpZTGyYbCaoebHLRw+P+Avmi/HOeH2xYhxGS00vdjgM5oXWCvhdsOBwmHr4d8H3Difmho27H7VxDXlBV8PR/taNvq9WeaRIuGRAMVaP2iAAghktGOY18ojUopvwJONrR7M1AshEiVUtaF0raBdrYDaYRu923G9oUQT6GFPV+z0o4QIgft4jgKmCmlfF8IcVco9npr02OVoO2VUj4vhPgX2q+h+WihelvPbZhwxJ/9YfG79vRZ47JQuAbYLKX8xONzX9eIU3bo/Cil1H3waSHE3Wg33nDacjbwqpRyDYA7ulmJJgIicU7sJhy+bss91on7oRGH7l9Wrykr9np9PqLlVNlxTqxcf6aJxQhOPtqvf50RwKZQRYgQ4ldCiJMMHyWh3VjsmdJYw9P2Q4G1oTQohLjdfTHqJAHmp9/V2kgHlqOFeocbhEjQ9vpqM1R7hRB/EkJcBOD+zv8OdENLRrP13IYJR/zZF0F81xuBEe5fh/qvxGFoiYWhcAIwTR+R4f5sG1oI2psd24CuQohuXpaFyjY0PwTaJj51Af8Nsy21Hu+bgRbgex92OPXdOEU4fD3ke6wT90ND207ev07A2jVlxW5fz0c7nmnbsHb9mSeYJKZIvoBsNNV4LFrYbCFwtw3tXoSWpT0cLQz2CiGOTnK3u40DCXBXASvQHHocUAIMDbHNT9Eukky0LPadwMkW27sC+NzL50Hb66fNkOx1t7sOGISW+Hab2+ltObfx4s92ftfASuBmtF9TdwFLHLBLT4g8Da0/vjfaw3orcIJ7nTeBJ912zHRfrwk27Lsr2q/cy9xtzwK+QxtFEzZb3D5QhNZFlQo8AnwY6e8m2n0dm++xwVwjm4qShwAAAT5JREFUFtsOy/3LzDVloS2vz0ebzonl689025F2+iC/uDPdB1uN1l9n19Duv7i/oL3uL6+rDW0aL74EYB5aX+JO4EIb2uyH1ndZ7XaGq4No7ym0UQLNHq/+wdoboM2g7UULaT+O9iCoBBah/UKx5dzGkz/b9V2jJdWuQhs5tAzo74BdEshz/38H2oOwBPiDYZ0ewMduO9YAR9q4/6OBb4AqtByxgZGwBS1BtMDt2++79+PTt8Px3US7r2PzPdaJ+6Gh7bDdv8xcUxbb6/B8tMtuq9ef2ZeaqkGhUCgUCkXcEYs5OAqFQqFQKBR+UQJHoVAoFApF3KEEjkKhUCgUirhDCRyFQqFQKBRxhxI4CoVCoVAo4g4lcBQKhUKhUMQdSuAoFAqFQqGIO5TAUSgUCoVCEXcogaNQKBQKhSLu+H/8qbW4z1GvpQAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(0,10.1,1.)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_400_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='gist_earth_r', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(0,3.51,0.25)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(0,151,25)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(0,31,5)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_400_time_mean_landmask-273.15, \\\n", + " levels=levels, \\\n", + " cmap='Spectral_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(0,801,100)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "ax5.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='magma', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# prw\n", + "\n", + "levels = numpy.arange(0,61,5)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "ax6.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_400_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='YlGnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,1,2,3])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(280,301,5))\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,200,400,600,800])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-0.2,0.21,0.1))\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/CLIM_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# as a percent" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-01T22:07:12.349746Z", + "start_time": "2018-07-01T22:06:59.400044Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: divide by zero encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: invalid value encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "perc_diff = (raintot_diffs_time_mean_landmask/raintot_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-25,26,2.5)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "contour_plot1 = ax1.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "perc_diff = (etran_diffs_time_mean_landmask/etran_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-40,41,5)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "contour_plot2 = ax2.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "perc_diff = (lh_diffs_time_mean_landmask/lh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-15,16,2.5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "contour_plot3 = ax3.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "perc_diff = (t2_diffs_time_mean_landmask/(t2_400_time_mean_landmask-273.15))*100.\n", + "levels = numpy.arange(-3,3.1,0.25)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "contour_plot4 = ax4.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "perc_diff = (pblh_diffs_time_mean_landmask/pblh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-20,21,2.5)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "perc_diff = (prw_diffs_time_mean/prw_400_time_mean)*100.\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax5.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax6.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)#h_pad=7, w_pad=3)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-40,-20,0,20,40])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-3,-2,-1,0,1,2,3])\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "fig.savefig('png_files/FRACTIONAL_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/gp3_UW_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb b/gp3_UW_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb new file mode 100644 index 0000000..a9ae270 --- /dev/null +++ b/gp3_UW_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb @@ -0,0 +1,1662 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:39:18.430326Z", + "start_time": "2018-08-16T05:39:15.068166Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import matplotlib.colors\n", + "import pandas\n", + "import matplotlib.patches\n", + "import netCDF4\n", + "import glob\n", + "import cmocean\n", + "\n", + "import mpl_toolkits\n", + "import cartopy\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:39:18.444467Z", + "start_time": "2018-08-16T05:39:18.438918Z" + } + }, + "outputs": [], + "source": [ + "run_info = 'FMAASO'\n", + "skip_time = 24" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 400 data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:39:18.683793Z", + "start_time": "2018-08-16T05:39:18.471792Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "wrfout_d01_1979-01-01_00:00:00\twrfout_d01_1979-01-07_00:00:00\r\n", + "wrfout_d01_1979-01-02_00:00:00\twrfout_d01_1979-01-08_00:00:00\r\n", + "wrfout_d01_1979-01-03_00:00:00\twrfout_d01_1979-01-09_00:00:00\r\n", + "wrfout_d01_1979-01-04_00:00:00\twrfout_d01_1979-01-10_00:00:00\r\n", + "wrfout_d01_1979-01-05_00:00:00\twrfout_d01_1979-01-11_00:00:00\r\n", + "wrfout_d01_1979-01-06_00:00:00\r\n" + ] + } + ], + "source": [ + "!ls /beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_UW_scheme_10days" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:39:22.310288Z", + "start_time": "2018-08-16T05:39:22.298806Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400_sensitivity/001_UW_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:39:31.810979Z", + "start_time": "2018-08-16T05:39:22.603501Z" + } + }, + "outputs": [], + "source": [ + "cont_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:42:13.281278Z", + "start_time": "2018-08-16T05:39:46.884215Z" + } + }, + "outputs": [], + "source": [ + "rainc_400 = cont_mfds['RAINC'].values\n", + "rainnc_400 = cont_mfds['RAINNC'].values\n", + "qvapor_400 = cont_mfds['QVAPOR'].values\n", + "lh_400 = cont_mfds['LH'].values\n", + "\n", + "pblh_400 = cont_mfds['PBLH'].values\n", + "t2_400 = cont_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:42:34.385289Z", + "start_time": "2018-08-16T05:42:13.289619Z" + } + }, + "outputs": [], + "source": [ + "ecan_400 = cont_mfds['ECAN'].values*86400. # mm/day\n", + "edir_400 = cont_mfds['EDIR'].values*86400.\n", + "etran_400 = cont_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:43:06.641586Z", + "start_time": "2018-08-16T05:42:34.393767Z" + } + }, + "outputs": [], + "source": [ + "time = cont_mfds['Times'].values\n", + "xlat = cont_mfds['XLAT'].values[0,:,:]\n", + "xlong = cont_mfds['XLONG'].values[0,:,:]\n", + "landmask = cont_mfds['LANDMASK'].values[0,:,:]\n", + "landmask_midpoints = landmask[1:,1:]" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:01:33.335331Z", + "start_time": "2018-08-15T03:01:32.397070Z" + } + }, + "source": [ + "prw_400 = numpy.load('DATA_prw_400.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 1000 data" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:43:06.661478Z", + "start_time": "2018-08-16T05:43:06.652317Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000_sensitivity/001_UW_scheme_10days'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout*.nc')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:43:16.462810Z", + "start_time": "2018-08-16T05:43:06.669529Z" + } + }, + "outputs": [], + "source": [ + "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:45:51.346723Z", + "start_time": "2018-08-16T05:43:16.471367Z" + } + }, + "outputs": [], + "source": [ + "rainc_1000 = phys_mfds['RAINC'].values\n", + "rainnc_1000 = phys_mfds['RAINNC'].values\n", + "qvapor_1000 = phys_mfds['QVAPOR'].values\n", + "lh_1000 = phys_mfds['LH'].values\n", + "\n", + "pblh_1000 = phys_mfds['PBLH'].values\n", + "t2_1000 = phys_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:09.351565Z", + "start_time": "2018-08-16T05:45:51.355037Z" + } + }, + "outputs": [], + "source": [ + "ecan_1000 = phys_mfds['ECAN'].values*86400. # mm/day\n", + "edir_1000 = phys_mfds['EDIR'].values*86400.\n", + "etran_1000 = phys_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:02:17.264099Z", + "start_time": "2018-08-15T03:03:23.232Z" + } + }, + "source": [ + "prw_1000 = numpy.load('DATA_prw_1000.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# get time stamps" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:09.374663Z", + "start_time": "2018-08-16T05:46:09.359987Z" + } + }, + "outputs": [], + "source": [ + "time_datetimes = pandas.to_datetime([i.decode('utf-8') for i in time], format = '%Y-%m-%d_%H:%M:%S')" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:09.755970Z", + "start_time": "2018-08-16T05:46:09.383018Z" + } + }, + "outputs": [], + "source": [ + "skip_time = 24\n", + "n_intervals = 8\n", + "hour_strings = ['00','03','06','09','12','15','18','21']\n", + "\n", + "times_00 = [t.hour in [23,0,1] for t in time_datetimes[skip_time:]]\n", + "times_03 = [t.hour in [2,3,4] for t in time_datetimes[skip_time:]]\n", + "times_06 = [t.hour in [5,6,7] for t in time_datetimes[skip_time:]]\n", + "times_09 = [t.hour in [8,9,10] for t in time_datetimes[skip_time:]]\n", + "times_12 = [t.hour in [11,12,13] for t in time_datetimes[skip_time:]]\n", + "times_15 = [t.hour in [14,15,16] for t in time_datetimes[skip_time:]]\n", + "times_18 = [t.hour in [17,18,19] for t in time_datetimes[skip_time:]]\n", + "times_21 = [t.hour in [20,21,22] for t in time_datetimes[skip_time:]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PRW differences" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:05:23.557774Z", + "start_time": "2018-08-15T03:05:23.354091Z" + } + }, + "source": [ + "prw_diffs = prw_1000-prw_400\n", + "prw_diffs_time_mean = numpy.mean(prw_diffs[skip_time:,:,:], axis=0)\n", + "prw_400_time_mean = numpy.mean(prw_400[skip_time:,:,:], axis=0)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PBLH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:10.611229Z", + "start_time": "2018-08-16T05:46:09.764435Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:11: RuntimeWarning: Mean of empty slice\n", + " # This is added back by InteractiveShellApp.init_path()\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:12: RuntimeWarning: Mean of empty slice\n", + " if sys.path[0] == '':\n" + ] + } + ], + "source": [ + "pblh_diffs = pblh_1000-pblh_400\n", + "pblh_diffs_time_mean = numpy.mean(pblh_diffs[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean = numpy.mean(pblh_400[skip_time:,:,:], axis=0)\n", + "\n", + "pblh_diffs_landmask = numpy.copy(pblh_diffs)\n", + "pblh_diffs_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_400_landmask = numpy.copy(pblh_400)\n", + "pblh_400_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_diffs_time_mean_landmask = numpy.nanmean(pblh_diffs_landmask[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean_landmask = numpy.nanmean(pblh_400_landmask[skip_time:,:,:], axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# LH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:10.712051Z", + "start_time": "2018-08-16T05:46:10.619380Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "lh_diffs_time_mean = numpy.mean(lh_1000[skip_time:,:,:] - lh_400[skip_time:,:,:], axis=0)\n", + "lh_diffs_time_mean_landmask = numpy.copy(lh_diffs_time_mean)\n", + "lh_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "lh_400_time_mean = numpy.mean(lh_400[skip_time:,:,:], axis=0)\n", + "lh_400_time_mean_landmask = numpy.copy(lh_400_time_mean)\n", + "lh_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# RAINTOT differences" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:11.763668Z", + "start_time": "2018-08-16T05:46:10.720631Z" + } + }, + "outputs": [], + "source": [ + "raintot_400 = rainc_400+rainnc_400\n", + "raintot_1000 = rainc_1000+rainnc_1000\n", + "\n", + "raintot_400_diff = numpy.zeros((raintot_400.shape))*numpy.nan\n", + "raintot_400_diff[:-1,:,:] = numpy.diff(raintot_400, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "raintot_1000_diff = numpy.zeros((raintot_1000.shape))*numpy.nan\n", + "raintot_1000_diff[:-1,:,:] = numpy.diff(raintot_1000, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "# monthly mean\n", + "raintot_diffs_time_mean = numpy.nanmean(raintot_1000_diff[skip_time:,:,:] - raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_diffs_time_mean_landmask = numpy.copy(raintot_diffs_time_mean)\n", + "raintot_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "raintot_400_time_mean = numpy.nanmean(raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_400_time_mean_landmask = numpy.copy(raintot_400_time_mean)\n", + "raintot_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# T2 differences" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:11.867140Z", + "start_time": "2018-08-16T05:46:11.772072Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "t2_diffs_time_mean = numpy.mean(t2_1000[skip_time:,:,:] - t2_400[skip_time:,:,:], axis=0)\n", + "t2_diffs_time_mean_landmask = numpy.copy(t2_diffs_time_mean)\n", + "t2_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "t2_400_time_mean = numpy.mean(t2_400[skip_time:,:,:], axis=0)\n", + "t2_400_time_mean_landmask = numpy.copy(t2_400_time_mean)\n", + "t2_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ECAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:15.734285Z", + "start_time": "2018-08-16T05:46:11.875541Z" + } + }, + "outputs": [], + "source": [ + "ecan_diffs_time_mean = numpy.mean(ecan_1000[skip_time:,:,:] - ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_diffs_time_mean_landmask = numpy.copy(ecan_diffs_time_mean)\n", + "ecan_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "ecan_400_time_mean = numpy.mean(ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_400_time_mean_landmask = numpy.copy(ecan_400_time_mean)\n", + "ecan_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ETRAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:16.510690Z", + "start_time": "2018-08-16T05:46:15.742796Z" + } + }, + "outputs": [], + "source": [ + "etran_diffs_time_mean = numpy.mean(etran_1000[skip_time:,:,:] - etran_400[skip_time:,:,:], axis=0)\n", + "etran_diffs_time_mean_landmask = numpy.copy(etran_diffs_time_mean)\n", + "etran_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "etran_400_time_mean = numpy.mean(etran_400[skip_time:,:,:], axis=0)\n", + "etran_400_time_mean_landmask = numpy.copy(etran_400_time_mean)\n", + "etran_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# EDIR differences" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:17.093496Z", + "start_time": "2018-08-16T05:46:16.519345Z" + } + }, + "outputs": [], + "source": [ + "edir_diffs_time_mean = numpy.mean(edir_1000[skip_time:,:,:] - edir_400[skip_time:,:,:], axis=0)\n", + "edir_diffs_time_mean_landmask = numpy.copy(edir_diffs_time_mean)\n", + "edir_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "edir_400_time_mean = numpy.mean(edir_400[skip_time:,:,:], axis=0)\n", + "edir_400_time_mean_landmask = numpy.copy(edir_400_time_mean)\n", + "edir_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:19.607468Z", + "start_time": "2018-08-16T05:46:17.102093Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.pcolormesh(raintot_diffs_time_mean_landmask,vmin=-0.01,vmax=0.01,cmap=cmocean.cm.balance_r)\n", + "mp.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:46:30.359942Z", + "start_time": "2018-08-16T05:46:19.615751Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-1,1.1,0.125)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#dry_lon_lo, dry_lon_hi, dry_lat_lo, dry_lat_hi = -60,-50,-10,10\n", + "#wet_lon_lo, wet_lon_hi, wet_lat_lo, wet_lat_hi = -80,-75,-10,10\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-0.5,0.51,0.1)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "# levels = numpy.arange(-.75,.76,0.125)\n", + "# ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "# ax6.gridlines(ylocs=[0], color='0.25')\n", + "# ax6.coastlines(resolution='110m')\n", + "# contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + "# levels=levels, \\\n", + "# cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "# ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "# ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "# ax6.set_yticks([-20,-10,0,10])\n", + "# ax6.tick_params(labelsize=fontsize)\n", + "# ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "# ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "# title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "# ax6.text(s='mm', x=0.05, y=0.03, \\\n", + "# ha='left', va='bottom', \\\n", + "# fontsize=fontsize, \\\n", + "# transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "# bbox_position = ax6.get_position()\n", + "# cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "# cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "# #cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "# cbar_axes.tick_params(labelsize=fontsize)\n", + "# cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('figures/UW_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:27:36.891442Z", + "start_time": "2018-08-16T20:27:36.887696Z" + } + }, + "outputs": [], + "source": [ + "xlat_indices = (xlat>=-10) & (xlat<=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:32:01.932021Z", + "start_time": "2018-08-16T20:32:01.697916Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:6: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0,0.5,'mm day$^{\\\\,-1}$')" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.5,4))\n", + "ax = fig.add_subplot(111)\n", + "\n", + "lon_mean = numpy.nanmean(raintot_diffs_time_mean_landmask[xlat_indices[:,0],:]*24., axis=0)\n", + "lon_mean_smooth = pandas.Series(lon_mean).rolling(window=5, center=True).mean()\n", + "ax.plot(xlong[0,:]+360., lon_mean_smooth, c='firebrick')\n", + "ax.set_xlim(280,320)\n", + "ax.set_ylim(-1.25,1.25)\n", + "ax.axhline(0, c='0.1', ls='--')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s='UW days 2-10 precip. change', x=0, y=1.02, \\\n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.set_xlabel('longitude', fontsize=fontsize)\n", + "ax.set_ylabel('mm day$^{\\,-1}$', fontsize=fontsize)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## for cesm talk" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-15T03:08:31.076Z" + } + }, + "outputs": [], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(11,7))\n", + "fontsize = 18\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "levels = numpy.arange(-.75,.76,0.125)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['','',''])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['','',''])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['','',''])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['','',''])\n", + "\n", + "fig.tight_layout(h_pad=10)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='$\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='$\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='$\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='$\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='$\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='$\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/cesm_workshop_precip_lh_etc_maps.png', dpi=600, transparent=True, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot climatology of these variables" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-02T05:41:27.287058Z", + "start_time": "2018-07-02T05:41:19.109426Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(0,10.1,1.)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_400_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='gist_earth_r', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(0,3.51,0.25)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(0,151,25)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(0,31,5)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_400_time_mean_landmask-273.15, \\\n", + " levels=levels, \\\n", + " cmap='Spectral_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(0,801,100)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "ax5.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='magma', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# prw\n", + "\n", + "levels = numpy.arange(0,61,5)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "ax6.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_400_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='YlGnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,1,2,3])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(280,301,5))\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,200,400,600,800])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-0.2,0.21,0.1))\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/CLIM_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# as a percent" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-01T22:07:12.349746Z", + "start_time": "2018-07-01T22:06:59.400044Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: divide by zero encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: invalid value encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "perc_diff = (raintot_diffs_time_mean_landmask/raintot_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-25,26,2.5)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "contour_plot1 = ax1.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "perc_diff = (etran_diffs_time_mean_landmask/etran_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-40,41,5)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "contour_plot2 = ax2.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "perc_diff = (lh_diffs_time_mean_landmask/lh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-15,16,2.5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "contour_plot3 = ax3.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "perc_diff = (t2_diffs_time_mean_landmask/(t2_400_time_mean_landmask-273.15))*100.\n", + "levels = numpy.arange(-3,3.1,0.25)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "contour_plot4 = ax4.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "perc_diff = (pblh_diffs_time_mean_landmask/pblh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-20,21,2.5)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "perc_diff = (prw_diffs_time_mean/prw_400_time_mean)*100.\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax5.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax6.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)#h_pad=7, w_pad=3)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-40,-20,0,20,40])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-3,-2,-1,0,1,2,3])\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "fig.savefig('png_files/FRACTIONAL_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/gp3_YSU_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR_NOT_ENSEMBLE_MEAN.ipynb b/gp3_YSU_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR_NOT_ENSEMBLE_MEAN.ipynb new file mode 100644 index 0000000..7bdc7c3 --- /dev/null +++ b/gp3_YSU_scheme_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR_NOT_ENSEMBLE_MEAN.ipynb @@ -0,0 +1,1667 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:51:24.617041Z", + "start_time": "2018-08-16T05:51:22.362333Z" + } + }, + "outputs": [], + "source": [ + "import numpy\n", + "import xarray\n", + "import matplotlib\n", + "import matplotlib.pyplot as mp\n", + "import datetime\n", + "import matplotlib.colors\n", + "import pandas\n", + "import matplotlib.patches\n", + "import netCDF4\n", + "import glob\n", + "import cmocean\n", + "\n", + "import mpl_toolkits\n", + "import cartopy\n", + "\n", + "DEGREE_SIGN = u'\\u00B0'\n", + "mp.rcParams.update({'mathtext.default': 'regular'})\n", + "\n", + "% matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:51:34.637427Z", + "start_time": "2018-08-16T05:51:34.633769Z" + } + }, + "outputs": [], + "source": [ + "run_info = 'FMAASO'\n", + "skip_time = 24" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 400 data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:51:49.761307Z", + "start_time": "2018-08-16T05:51:49.627444Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "namelist.input\t\t\twrfout_d01_1979-01-06_00:00:00\r\n", + "ncdump_out.txt\t\t\twrfout_d01_1979-01-07_00:00:00\r\n", + "wrfout_d01_1979-01-01_00:00:00\twrfout_d01_1979-01-08_00:00:00\r\n", + "wrfout_d01_1979-01-02_00:00:00\twrfout_d01_1979-01-09_00:00:00\r\n", + "wrfout_d01_1979-01-03_00:00:00\twrfout_d01_1979-01-10_00:00:00\r\n", + "wrfout_d01_1979-01-04_00:00:00\twrfout_d01_1979-01-11_00:00:00\r\n", + "wrfout_d01_1979-01-05_00:00:00\twrfrst_d01_1979-01-11_00:00:00\r\n" + ] + } + ], + "source": [ + "!ls /beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400/001/" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:52:06.292088Z", + "start_time": "2018-08-16T05:52:04.771155Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/400/001'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout*')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:52:14.945039Z", + "start_time": "2018-08-16T05:52:07.036292Z" + } + }, + "outputs": [], + "source": [ + "cont_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:56:02.264859Z", + "start_time": "2018-08-16T05:52:14.953704Z" + } + }, + "outputs": [], + "source": [ + "rainc_400 = cont_mfds['RAINC'].values\n", + "rainnc_400 = cont_mfds['RAINNC'].values\n", + "qvapor_400 = cont_mfds['QVAPOR'].values\n", + "lh_400 = cont_mfds['LH'].values\n", + "\n", + "pblh_400 = cont_mfds['PBLH'].values\n", + "t2_400 = cont_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:56:36.566804Z", + "start_time": "2018-08-16T05:56:02.273722Z" + } + }, + "outputs": [], + "source": [ + "ecan_400 = cont_mfds['ECAN'].values*86400. # mm/day\n", + "edir_400 = cont_mfds['EDIR'].values*86400.\n", + "etran_400 = cont_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:57:11.923276Z", + "start_time": "2018-08-16T05:56:36.575147Z" + } + }, + "outputs": [], + "source": [ + "time = cont_mfds['Times'].values\n", + "xlat = cont_mfds['XLAT'].values[0,:,:]\n", + "xlong = cont_mfds['XLONG'].values[0,:,:]\n", + "landmask = cont_mfds['LANDMASK'].values[0,:,:]\n", + "landmask_midpoints = landmask[1:,1:]" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:01:33.335331Z", + "start_time": "2018-08-15T03:01:32.397070Z" + } + }, + "source": [ + "prw_400 = numpy.load('DATA_prw_400.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# import FMAASO 1000 data" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:57:11.944562Z", + "start_time": "2018-08-16T05:57:11.931871Z" + } + }, + "outputs": [], + "source": [ + "root_dir = '/beegfs/DATA/pritchard/blangenb/WRF_ARCHIVE/CHEYENNE/FMAASO/1000/001'\n", + "file_list = glob.glob(root_dir+'/'+'wrfout*.nc')\n", + "ds_list = [netCDF4.Dataset(file) for file in file_list]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:57:20.659904Z", + "start_time": "2018-08-16T05:57:11.952727Z" + } + }, + "outputs": [], + "source": [ + "phys_mfds = xarray.open_mfdataset(root_dir + '/' + 'wrfout*')" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:59:28.311548Z", + "start_time": "2018-08-16T05:57:20.662721Z" + } + }, + "outputs": [], + "source": [ + "rainc_1000 = phys_mfds['RAINC'].values\n", + "rainnc_1000 = phys_mfds['RAINNC'].values\n", + "qvapor_1000 = phys_mfds['QVAPOR'].values\n", + "lh_1000 = phys_mfds['LH'].values\n", + "\n", + "pblh_1000 = phys_mfds['PBLH'].values\n", + "t2_1000 = phys_mfds['T2'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:59:47.688070Z", + "start_time": "2018-08-16T05:59:28.320077Z" + } + }, + "outputs": [], + "source": [ + "ecan_1000 = phys_mfds['ECAN'].values*86400. # mm/day\n", + "edir_1000 = phys_mfds['EDIR'].values*86400.\n", + "etran_1000 = phys_mfds['ETRAN'].values*86400." + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:02:17.264099Z", + "start_time": "2018-08-15T03:03:23.232Z" + } + }, + "source": [ + "prw_1000 = numpy.load('DATA_prw_1000.npy')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# get time stamps" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:59:47.711345Z", + "start_time": "2018-08-16T05:59:47.696659Z" + } + }, + "outputs": [], + "source": [ + "time_datetimes = pandas.to_datetime([i.decode('utf-8') for i in time], format = '%Y-%m-%d_%H:%M:%S')" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:59:47.848456Z", + "start_time": "2018-08-16T05:59:47.719682Z" + } + }, + "outputs": [], + "source": [ + "skip_time = 24\n", + "n_intervals = 8\n", + "hour_strings = ['00','03','06','09','12','15','18','21']\n", + "\n", + "times_00 = [t.hour in [23,0,1] for t in time_datetimes[skip_time:]]\n", + "times_03 = [t.hour in [2,3,4] for t in time_datetimes[skip_time:]]\n", + "times_06 = [t.hour in [5,6,7] for t in time_datetimes[skip_time:]]\n", + "times_09 = [t.hour in [8,9,10] for t in time_datetimes[skip_time:]]\n", + "times_12 = [t.hour in [11,12,13] for t in time_datetimes[skip_time:]]\n", + "times_15 = [t.hour in [14,15,16] for t in time_datetimes[skip_time:]]\n", + "times_18 = [t.hour in [17,18,19] for t in time_datetimes[skip_time:]]\n", + "times_21 = [t.hour in [20,21,22] for t in time_datetimes[skip_time:]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PRW differences" + ] + }, + { + "cell_type": "raw", + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-15T03:05:23.557774Z", + "start_time": "2018-08-15T03:05:23.354091Z" + } + }, + "source": [ + "prw_diffs = prw_1000-prw_400\n", + "prw_diffs_time_mean = numpy.mean(prw_diffs[skip_time:,:,:], axis=0)\n", + "prw_400_time_mean = numpy.mean(prw_400[skip_time:,:,:], axis=0)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PBLH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:59:48.604916Z", + "start_time": "2018-08-16T05:59:47.857018Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:11: RuntimeWarning: Mean of empty slice\n", + " # This is added back by InteractiveShellApp.init_path()\n", + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:12: RuntimeWarning: Mean of empty slice\n", + " if sys.path[0] == '':\n" + ] + } + ], + "source": [ + "pblh_diffs = pblh_1000-pblh_400\n", + "pblh_diffs_time_mean = numpy.mean(pblh_diffs[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean = numpy.mean(pblh_400[skip_time:,:,:], axis=0)\n", + "\n", + "pblh_diffs_landmask = numpy.copy(pblh_diffs)\n", + "pblh_diffs_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_400_landmask = numpy.copy(pblh_400)\n", + "pblh_400_landmask[:,landmask==0] = numpy.nan\n", + "\n", + "pblh_diffs_time_mean_landmask = numpy.nanmean(pblh_diffs_landmask[skip_time:,:,:], axis=0)\n", + "pblh_400_time_mean_landmask = numpy.nanmean(pblh_400_landmask[skip_time:,:,:], axis=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# LH differences" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:59:48.707605Z", + "start_time": "2018-08-16T05:59:48.613219Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "lh_diffs_time_mean = numpy.mean(lh_1000[skip_time:,:,:] - lh_400[skip_time:,:,:], axis=0)\n", + "lh_diffs_time_mean_landmask = numpy.copy(lh_diffs_time_mean)\n", + "lh_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "lh_400_time_mean = numpy.mean(lh_400[skip_time:,:,:], axis=0)\n", + "lh_400_time_mean_landmask = numpy.copy(lh_400_time_mean)\n", + "lh_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# RAINTOT differences" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:59:49.585359Z", + "start_time": "2018-08-16T05:59:48.715981Z" + } + }, + "outputs": [], + "source": [ + "raintot_400 = rainc_400+rainnc_400\n", + "raintot_1000 = rainc_1000+rainnc_1000\n", + "\n", + "raintot_400_diff = numpy.zeros((raintot_400.shape))*numpy.nan\n", + "raintot_400_diff[:-1,:,:] = numpy.diff(raintot_400, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "raintot_1000_diff = numpy.zeros((raintot_1000.shape))*numpy.nan\n", + "raintot_1000_diff[:-1,:,:] = numpy.diff(raintot_1000, axis=0)#*(24./3) # convert to mm/day\n", + "\n", + "# monthly mean\n", + "raintot_diffs_time_mean = numpy.nanmean(raintot_1000_diff[skip_time:,:,:] - raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_diffs_time_mean_landmask = numpy.copy(raintot_diffs_time_mean)\n", + "raintot_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "raintot_400_time_mean = numpy.nanmean(raintot_400_diff[skip_time:,:,:], axis=0)\n", + "raintot_400_time_mean_landmask = numpy.copy(raintot_400_time_mean)\n", + "raintot_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# T2 differences" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:59:49.687923Z", + "start_time": "2018-08-16T05:59:49.593929Z" + } + }, + "outputs": [], + "source": [ + "# monthly mean\n", + "t2_diffs_time_mean = numpy.mean(t2_1000[skip_time:,:,:] - t2_400[skip_time:,:,:], axis=0)\n", + "t2_diffs_time_mean_landmask = numpy.copy(t2_diffs_time_mean)\n", + "t2_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "t2_400_time_mean = numpy.mean(t2_400[skip_time:,:,:], axis=0)\n", + "t2_400_time_mean_landmask = numpy.copy(t2_400_time_mean)\n", + "t2_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ECAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:59:49.886702Z", + "start_time": "2018-08-16T05:59:49.696467Z" + } + }, + "outputs": [], + "source": [ + "ecan_diffs_time_mean = numpy.mean(ecan_1000[skip_time:,:,:] - ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_diffs_time_mean_landmask = numpy.copy(ecan_diffs_time_mean)\n", + "ecan_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "ecan_400_time_mean = numpy.mean(ecan_400[skip_time:,:,:], axis=0)\n", + "ecan_400_time_mean_landmask = numpy.copy(ecan_400_time_mean)\n", + "ecan_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ETRAN differences" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:59:50.016201Z", + "start_time": "2018-08-16T05:59:49.895515Z" + } + }, + "outputs": [], + "source": [ + "etran_diffs_time_mean = numpy.mean(etran_1000[skip_time:,:,:] - etran_400[skip_time:,:,:], axis=0)\n", + "etran_diffs_time_mean_landmask = numpy.copy(etran_diffs_time_mean)\n", + "etran_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "etran_400_time_mean = numpy.mean(etran_400[skip_time:,:,:], axis=0)\n", + "etran_400_time_mean_landmask = numpy.copy(etran_400_time_mean)\n", + "etran_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# EDIR differences" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:59:50.167942Z", + "start_time": "2018-08-16T05:59:50.024912Z" + } + }, + "outputs": [], + "source": [ + "edir_diffs_time_mean = numpy.mean(edir_1000[skip_time:,:,:] - edir_400[skip_time:,:,:], axis=0)\n", + "edir_diffs_time_mean_landmask = numpy.copy(edir_diffs_time_mean)\n", + "edir_diffs_time_mean_landmask[landmask==0] = numpy.nan\n", + "\n", + "edir_400_time_mean = numpy.mean(edir_400[skip_time:,:,:], axis=0)\n", + "edir_400_time_mean_landmask = numpy.copy(edir_400_time_mean)\n", + "edir_400_time_mean_landmask[landmask==0] = numpy.nan\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T05:59:50.728197Z", + "start_time": "2018-08-16T05:59:50.176821Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mp.pcolormesh(raintot_diffs_time_mean_landmask,vmin=-0.01,vmax=0.01,cmap=cmocean.cm.balance_r)\n", + "mp.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T06:00:02.863119Z", + "start_time": "2018-08-16T05:59:50.736463Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-1,1.1,0.125)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#dry_lon_lo, dry_lon_hi, dry_lat_lo, dry_lat_hi = -60,-50,-10,10\n", + "#wet_lon_lo, wet_lon_hi, wet_lat_lo, wet_lat_hi = -80,-75,-10,10\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-0.5,0.51,0.1)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "# levels = numpy.arange(-.75,.76,0.125)\n", + "# ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "# ax6.gridlines(ylocs=[0], color='0.25')\n", + "# ax6.coastlines(resolution='110m')\n", + "# contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + "# levels=levels, \\\n", + "# cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "# ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "# ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "# ax6.set_yticks([-20,-10,0,10])\n", + "# ax6.tick_params(labelsize=fontsize)\n", + "# ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "# ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "# title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "# ax6.text(s='mm', x=0.05, y=0.03, \\\n", + "# ha='left', va='bottom', \\\n", + "# fontsize=fontsize, \\\n", + "# transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "# bbox_position = ax6.get_position()\n", + "# cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "# cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "# #cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "# cbar_axes.tick_params(labelsize=fontsize)\n", + "# cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('figures/YSU_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T06:23:37.618751Z", + "start_time": "2018-08-16T06:23:37.607007Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(179, 289)" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raintot_diffs_time_mean_landmask.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:26:56.874635Z", + "start_time": "2018-08-16T20:26:56.868679Z" + } + }, + "outputs": [], + "source": [ + "xlat_indices = (xlat>=-10) & (xlat<=10)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "ExecuteTime": { + "end_time": "2018-08-16T20:32:14.852124Z", + "start_time": "2018-08-16T20:32:14.615004Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/miniconda3/lib/python3.6/site-packages/ipykernel_launcher.py:6: RuntimeWarning: Mean of empty slice\n", + " \n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0,0.5,'mm day$^{\\\\,-1}$')" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fontsize = 12\n", + "\n", + "fig = mp.figure(figsize=(4.5,4))\n", + "ax = fig.add_subplot(111)\n", + "\n", + "lon_mean = numpy.nanmean(raintot_diffs_time_mean_landmask[xlat_indices[:,0],:]*24., axis=0)\n", + "lon_mean_smooth = pandas.Series(lon_mean).rolling(window=5, center=True).mean()\n", + "ax.plot(xlong[0,:]+360., lon_mean_smooth, c='firebrick')\n", + "ax.set_xlim(280,320)\n", + "ax.set_ylim(-1.25,1.25)\n", + "ax.axhline(0, c='0.1', ls='--')\n", + "ax.tick_params(labelsize=fontsize)\n", + "ax.text(s='YSU days 2-10 precip. change', x=0, y=1.02, \\\n", + " ha='left', va='bottom', transform=ax.transAxes, fontsize=fontsize)\n", + "ax.set_xlabel('longitude', fontsize=fontsize)\n", + "ax.set_ylabel('mm day$^{\\,-1}$', fontsize=fontsize)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## for cesm talk" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2018-08-15T03:08:31.076Z" + } + }, + "outputs": [], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(11,7))\n", + "fontsize = 18\n", + "lon_offset=25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_diffs_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap=cmocean.cm.balance_r, extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -5], width=10, height=15,\n", + "# facecolor='none',\n", + "# edgecolor='0.1',\\\n", + "# linewidth=2,\\\n", + "# transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(-20,21,5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(-1,1.1,0.2)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_diffs_time_mean_landmask, levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(-100,101,20)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_diffs_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "levels = numpy.arange(-.75,.76,0.125)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_diffs_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['','',''])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['','',''])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['','',''])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['','',''])\n", + "\n", + "fig.tight_layout(h_pad=10)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='$\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='$\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='$\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='$\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='$\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='$\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='mm day$^{-1}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label='W m$^{-2}$', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "#cbar.set_label(label=degree_sign+'C', fontsize=fontsize)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-.5,0,.5])\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/cesm_workshop_precip_lh_etc_maps.png', dpi=600, transparent=True, bbox_inches='tight')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot climatology of these variables" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-02T05:41:27.287058Z", + "start_time": "2018-07-02T05:41:19.109426Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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1dK+g8EDqh/pSlHuj2m29qKiI119/nc6dO7Nx40bddss9veZSYwROU/33GgeaauQZVGdPJVPbL4h27dpVW1+ysrJ45ZVXWLr4M/p1f4R+/fqRnZ3NP//8g6+vL6tWraq2vtyrFBUV8fDDD9/ublQ6g15czpxDCQbbYm44ApC452+GDh1qarcqY+vWrXSJ6kyPng9z5MgRPvzwQ/Ly8njiiSfo0qULNWEWZk3nbrX1c/+e0IkcfbLO7OeB+1rQrFmzautLamoqgwcP5pc/V+PzYCh9+/alqKiIdevW4enpydatW6utL/camZmZ/Oc//6Fjx46MHj26UtuuMQLnx1nbyEjJ1gkbkKeJWycX4u3tjY1N9Yy2rV69mtDQUPYeXsnr/+3Fn5u38Pjjj+Po6MhXX31F8+bNmTx5MuvWrWP//v3V0qd7jWPHjhEWFsbx48dvd1cqnz3LufrnL7qPGfnyU6yntzPeZOPv718t3UhKSmLgwIEMjB7AWzOn4uvvy65du3j66ae5cOECW7ZsITU1lQ8++IA///yT9PT0aunXvcbdbOt5mz+gICutxPY3HvTBz8+vWmbFSpLEzz//TGhoKNvi0wge8CpHtuzmqaeewsrKioULF3LfffcxYcIE1q1bx5EjR6q8T/caX3zxBX369GHr1q3Ex8dz+vTpSmu70gSOEOIfIcQDep8fEUKcEUJkCSF+FkK4KNuthBDfCyGShRBjytv+y0PGs3rOcR4ImW6wfdvuS1X2dHPixAm+++47wsPDEUIghKBXv4E4dwvH+ZlmTF/wHTHJ1+nQoQNRjzbil+Xf4+Gfgl/9XKZNGsLDXTvw5ptvWp5yK5mQkBD27dtHQEDAbTl+Vdr61q1bOfTtb3w0dyFaOy/mHEpgyZ9FXD10hKysrCp5qs3NzWX58uWMGzcOT09Pgls0JrhJQ2xcrdj47zrSszMYPHAYY8eOZdWqVfz3hedBwFuz3mDthtVMeXMSbdq04fz585Xet3ud22nrVX1PHzeoN+KHCcwK8QZg2VcHOH/gAr/99htdu3at9PMBOHToEN9++y2NGjXC3rsuTnUaEf3y69j3mYztQ6P4552J1Cqyp0WLFjTs0Zu1f23C+4EmWNepxbhZU2nfuRPvv/++5Z5eiYSFhdG9e3cAnJ2dycjIqLS2bznRnxDiEeAJYBjQVpKkXUIIN+Ac8F9gC7AQuCZJ0qtK/fuBecDPQH9JkkodbBVCSPn5+dja2uIR0ZbwIe66WJzru2PYuOIUZ84nYWVVeQ6ppUuXMnr0aLp27coPP/xgUObgPA63dja0D9/Csjk7cPPVoGnZjDrt7HH20ejq5abncvbzfYz671gmTZoEyO642NhYHB0dDYKiCwoKOHDgAOnp6WRkZHDjxg0KCgqIiYnBwcGB/fv3s3//fqZNm8aTTz5ZaedZFVy8eJEmTZpU+dh1+/bt2bZtW5n1Kiv5WVXbuhBCUmO73njjDXqv2sfJk/ITblFeDhfnD+HXrxbSo0ePWz0VHXFxcfTp0wchBEFBQUgtG3JfcC1y7e0R/o1Zd8iJR5pl8NkTz3Hl0lWeGfgUjz/xHyK7dMTBwUHnYXr2jU84/eP3nD17FicnJwoKCkhMTCQpKYmQkBADD+uVK1e4ePEiGRkZZGZmkpubS15eHocOHSI0NJSffvoJGxsbNmzYUGnnWVXcjbZeXff0jIwMXFxc8HlsBGnaCF1ZwckNtNPEsGXLlls5jRJ8+umnTJ8+naioKH7an0RAj34UZqXhVL8ZwsaW8wcuEBEQx7ZZk7H3qU+t1t1wCetA284hujZ2bTrF5cUT+WDaeEaMGIEkSWRkZBAbG4tWq8XPz09XNy8vjwMHDpCRkaG7pxcWFnL58mXc3d3Ztm0bhw4dYt68eXTr1q1Sz7W8PPXUU7i7u/PZZ58BkJCQgI+PD++//z6vvfYaADt37qRjx46kpKSg0WhKa+6W+Pjjj/n111/5+++/y/TeldfOK2Ncp73Sjr5B9wT2S5K0QunMbGAN8CogAGtlHwGUS2HZ2NjQvn17TmPHxmFrUEPAQl57g0LrU/zyyy/069evEk4Hzp8/z2uvvUav18M5hjsY6htysuYCE3HU2AFQK8IPx0YPk5YKkkMyGteLZKbVJz3OA9uWvkyeMoUZM2YgSRJCCPz8/EhLS2PWrFm88MILCCH48ssvGTZsGA899BAuLi7k5+ezbt06ANzd3bGzs6N169acOHGiUs6xJjBz5kzWrl2r+xwVFcWbb755+zpUTbbevXt33njjDVAePrx8NCTGg0fX/zJ9+nS6du2Kra1tpZzQyy+/TNP7mvDGzEl8f+EqAHlAV39blpy2BiAu2xkPLw+uXLrKnM9mAZBPAQ6Ai62G3y/vo0XfJzm8ah3u7u5YW1uTl5eHu7s7Dg4OBAcH88MPP+Dj40NqaiqtWrXC1dWVBg0aoNFo+OWXXwz6tGzZsjtexFc2d5itV4udazQamjZtSrKd4cQR60ad+Wf1FDZs2FBpnpz9+/czc+ZMtIPmcdCzNrZcwMGv5OwtOxc5uWatNo/i0aGPQRv7DqZi6+aDV9doXhw5ijFjxlBUVIS1tbXunv7RRx/x1FNPIYTggw8+YMKECXTu3BkXFxfS09PZtGkTAP7+/mg0GmrXrs2ZM2dum8CJjIxkwYIFus8bN25Eq9WyYcMGncDZtWsXERERtyxuzNl4QUEBTz/9NFqtljVr1lTq0OQtuzwkSXpDkqQXAP2FRZoDB/Q+HwV8hBAa4E8gBLgA/ClJUsmEH2bw8PAgO67QYNuJD97m0vkURo0aVWmKf8eOHVjXt+OSqz0a14uEjp5aok7dyOvs/PoI9913HwmH0ijKl/P0pMd5GPzNT6+L70NjCXjhVeoPeZV2HzzE9A8foPfE+5gxazyurq40bdqUyW+MZsLbnZk8MpCXoz15aaAXwXV9GDlyJNevX6ewsJCDBw/i5uZ2U+e0efNmQkNDGTlyJM7OzrRp04aVK1cSFhaGl5cXc+fOLVcdcyxatAgfHx88PDx0TwMqixcvJiAgACcnJ9q2bcvhw4fp378/U6ZM0dVZuHAhHTt2NNhv0qRJbNu2Tfe6zeKm2mw9Ly+PRo0a0aPWUdJ/GIdTYRJePhqCu/bgsmRPdHQ0+fn5ZTdUDrZt/4dBw5/DysqKAcH1ANh7zY3EnGwAJjyUTtDx7dxIz0aj0fD3n5sBWdgAfHbyOHsTZJt8dvFCpmxdyet//cLwvzYT8t5qnEcuJta7AfXr16dBgwYENQxEE9ER/8lLyH7mLRJ7jqfRoEk0btyYxx57DIDPP//8lmKNLLZ+a1TnPd3d3R0kiYLTf5N/+HeCwgMJbtWAuv3HMGDAAPbu3VsJZwTbt28nq044dp61gZIJBoPCAwkI8WHvZ/No1aoVGcd3IBUW6Mr1g6G1LSJp8s5aAqb8QuDU36g/fTX2wxeR3nokw8ZNwN3dnZCQEKbO+5j6oz4mrvsUzrR/hZjOo7F18+HVV18lJiaG3NxcTp48edP39MogMjKSo0eP6masbdy4kTFjxrB9+3bdPWbnzp0lskrfzPVjzsYXLVpEs2bNWLx4MU5OTpV6flUVmasFLqkfJEnKFUIUAFrFdflUWQ0IIYYCBlNGpkyZwtXhw9lnon5iYiJPPvkkX3/9tVkX/s8//8zZs2cJDQ0lKirKrCLdv38/9t71dV6YlCP5hI6eita3+Hp/jitMzbDi+KndBAR5QPYxsG2pK/dvLPdS61tfty2yTixNNbXwy3OgYyMvOs7vgXOyICYunaCACOzsir8OOzsbJo99kB+Wr6dRgD8xyek89thjPP/882X858xz4sQJXnzxReLj4+nSpQujRo1i8+bN5Obm0qJFC5YtW1ZmnaFDh+Lq6mrQ7tmzZxk3bhyrV6+mWbNmDBw4UFeWnp7OSy+9xM6dOwkJCWHSpElMnz6dfv36MXv2bGbMmAHA2rVreeKJJ2763G4jt2Trpuy8TZs2dOvWjZd6vEh25g3EJ1MZOGsCmU518Jg8j13vvkr//v1ZunSpyRvC1atXWbx4MVqtlj59+lC7dm2sra1L1EtISOBGdjZ1A4qHSgcE1yPKP5bor604f+IcG0P8yP/1B14fPx4bGxvmzZuPV2tZCCXm5BOT6UZMmqNu/+dDBRpbFwAyQzMAJ/jv89Rf/CYXzl0kpSiVeoF1yczPAPIZs84W38jHuZyRwvaT+/Hz8+Py5ct8+eWXZf3fS8Vi65VOldzT3377bUaNGkXc0aMAZBy/H01IWzSNWyM9+jI9evRg2bJldOrUqUR7kiSxZMkSYmNjad68OZ06dcLZuWQGcJDv6Y51Guk8NSpB4YG6bd6aFLztbdi1axeufrXJiTmHY93GJtuzsrVTcvgU06rl48DjtHA6S9LVOK5o22BlI3ta9x1MxdrBmTrPvcWXW5Zh51Of5OQkoqOj6dOnj4kjVA8hISF4enry77//0rlzZ/766y/++OMPVq1apRua2rlzJ4MHDy6x781cP6bYtm0bZ8+e1Xm3Pvroo0rL1l5VAicV0N31hBB2yrFSytuAJEkLkcd5EUJIABEREezcuZO5c+cSFBTEBx98wL///qvbJzExkREjRrBgwQIefvhhrKysKCoqYvXq1Xz77bf8vuEvnHxdSD15CStbGx7q2In58+fTtKk8CT0nJ4chQ4bw/c8/4hrai4PTncjJeguA2A3g13UibmG29Iw4irOzM24uRXz44YdkpErEfLESB+fGBA2TT1uXr8dFXh26qcYBv7xakAc+1mGQJ0fj+9QKo6HedRJfWBylX692LV5/Sb6wE5Oz+PjznYwYMYJvv/22vP9GA2rVqsXIkSMRQtCiRQsefPBBgoKCANBqtcTHx5erjrHR/vTTT/Tt25f27dsDMHXqVF38hJ2dHXv27CEkJISrV69iY2NDcnIyPXr04LnnniMmJgZPT0/++usv5s+fX6HzKU9MQjVwS7Zuys6trKyYP38+PXv2JCEhgS1btvBZvyF0eLobDwwZgv/sOWz7+CN69erF+vXrdbFnFy5c4Ntvv+W9j/9Hkw5t2ff7OkaPHo2vry+jR49m7NixOvfv2rVrGTp0KE3DQhFCcCTlPIk58hPb7BX2nD8RC+fPcj4+DjufKEZNf48+HVvR8P4wDl2XbxsxmRpi0hzxd82me71MvBwcaahtWHxyStJClUZN5LKM/Ew0NvLDxYSHzjN7kxanNk8S0HMQkiQRt/l3/tO3HycPHdDZXkWx2HqlUyX39E6dOrF7924++OADAgICeO+997jyz7e0nzQT12d6sNVew9NPP82yZcto27YtVlZWFBQUsGLFCr755hs27D2OtbOWG+cmImzt6RbVmY8//lj3PWZkZBAdHc3va9dj2/FlrLwN+6QveOLTXcmLS+eTTz7BoagAB3/zWcNVcdO+TpKJ0lq4uNciEDl+bttVT1q1rMW+g6k41m5InWfkeMy8pGt8vWwuVlbj+eijj8r7b6x0OnXqxM6dO6lbty6FhYU0adKEqKgoNm7cSHBwMHFxcSbXv7uZ68cU3333XaWfk0pVTRM/CehP9wgBzkiSlH2rDdva2jJp0iT69+/Prl27+Prrrw3KL1++TPfu3bG2tWHatGm0adOGvgOH89vvKdi5hZAdH482uDYhwx5nzzUbmoXdz/Lly4mLi6NHjx6s/Hc/tjYjSTn4ixJrU0zshlm698ezcrnvqRDGjRuni/rOyZqr8/LszcjVvUBeXkJdWgIUkWMCc9u9PJwZMSSMP9fefI4db29v3Q+clZUVWq3RYo5FReWqY8zVq1epV6+e7rPx8MKsWbMICAggOjqaY8eOAeDi4kKXLl1Yu3YtW7ZsoVGjRrdtVtQtUmW23qVLF55++mk+//xzTpw4wcVtx7i2dQN1axXw1MShbNiwAWtrawYMGMDQoUNpdl9Lfj18hPavjOHaiVM4u9ei+2vD6fzue8z76mtCuvfg4sWLfP/99wwaNIjZC99m7Z8riMuOZcyPVoz9ooCxXxQULxPhrAEfX+wbPYCztw8bT16gZ//iWAF/TQ6DwxJ5sakT7bybG4qbcjLmRysS4zPxUoLzhRD4PdSLWqH3M/zrJTf9v7MUNzUMAAAgAElEQVTYeqVTZXbu5OTE5MmTGTBgAAcOHGDqqOFsmzmJfQdTcQ5uTn6zrrRv3x4bR2emTZuGpm4jose/xT6Hxjg3DCcv6SqaJm2o/+J89lnVo3H4/axfv54rV64QFRXFqiPJ2PX6ACtvxRsTc7X4pYewssIm/Elee2s+dh2eIaKVZwkvjTHbrnqWeX7t6ySx72BqCe+RnWdtfHqOZNGy25s3LTIykl27drFx40ZdzFNUVBQbNmxg586dZuNvbub6qW6qyoOzApgrhOiAPFY7E/i+sg8ihKBhQzM31SKJt956S/fRpWEIObH7Obh7H//88w+jxryGVdFTIN2gT58+aDQaimo15MbV44D5nBMpR/IhAjZf9WPXrOUlyvUDjHVih4sGGZj1vTTqe1XY6JcZ4+OloUDKp5arI5EPPcL7779foSfc8gRv3UyAl4+PD5cvX9Z91n+/dOlSLl68yIULF7CxseHzzz/nxx9/BKBXr16sWbOGgICAmuiyV6kWW/fx8cHV1ZU967fh2jSCa9fhhdVryU5JJWbLWhxdbHjl58W4Z1zl82mfMKh3f/r06cPjzz2LR2wabd5cwImfFtE0IgIfrZa6r3yIZ3Nvk9+3p6cz6Ynp4CN7YDo9FIh/r3fx1+QQ6m+LlxKfE+YWpIvFMYc6y8pcveiHrYjJdACKOHSu+HnLJbgpf82Zg+NnC/ls7kyio6MrNEvSYuuVTrXd0xs0aEDahTNoLx3HtpY3te7vgVvr7ty4eJRPt53Du8cQ4lMcSDy1BS7v4PieHaxatYrX35pCwLD3cfANpN/rs5DO7ye7Xgds7pdnCeoEjb/5JX2s695Hw559DISNqWSE+w6m6uoYixxTXh11SQrVk6Pi4FOf/NQEbDS16NezB3PnzqV27doV+ZfdMpGRkUydOhU7Ozt69+4NyLP2jh07xvr1682u6l4deYpulSrx4EiSlAw8BywBrgAJwKxSd7pJ2rVrx5dffkndunUBORDZVK6QoryLHN13kNDQUIYNG0azho3Jy/lZV56ZmcmNqwdK7GdMyo4CNl/149IGbYmyqAWPEnOqlckylVi7nBIvKF3YqPXi7HOZ9emjzPioO3YuFwlvGcq4ceNueyrxPn368Ouvv7Jz505SU1N55513dGUFBQUUFhaSk5PD4cOH+fTTT8nPz0eSJB5//HE2bdrEqlWrbus49K1Qnbb+zTffEFyrDjOj+vBNvz4sjx7A3oX/I6JXd/qP6Emt86eZOmASY0eOYfr06bRs2ZJVS3/gwI8/YJt0lO5jXuSFlWuoN/0nNHUbMHuTlh0Jh00eKyjED62XFq2XFn/X4of0Jaet8XJwLJe4AVnYlFZvQHA9YtIcOXRO9uScOBZPYnwm9i0e4/53l+H71CRenDYH54AQg+Ho28W9auvVaec9evTgww8/JOnrCZyZ0Y/kT0egWTeHgozrZPp2JiHbm7zVkylKvcLZQ3to2LAho0ePxtVG4toP76Bpcj/5zZ6joOd8bFv2NRQ3ZaAGH+87mKp7mcNcmbHg0f+senLU14UjV2kw8XuCXlvEz4fTqRPUmGnTplFQUGDcbJUREhKCtbU1a9asISoqCgB7e3vatGnD0qVLzQqcmkClCRxJkupLkrRL7/MqSZICJUnSSJI0SJKkKlu4ZtCgQZw5c4bNmzcTFxfHokWL8Pf3x0bjhUuDSGo1bYmNfYHBSswPP/wwzvUqHsiUkzWXXeM/wS2seJquX9eJOnGjrnqeciRfN5MqM60+ezNydaugG1MekaNykSKu2Qp69mvKOx/1YPvmn+nXr1+lzaq5GcLCwpg3bx59+/alcePGPPLII7qygQMH4urqire3NyNGjGDevHmcPn2aTz75BG9vb8LCwnByciIkJKSUI9xZ3C5bDwwM5Pvvv2fPnj0kJydz+PBhekS05dsxUxnZpj+BDetjY2NNeHi4ztvh6+uLo8aJ5uHykIgqJFTWXdYwZp0tXj4aQpr6AOiGqDp2qkfHTvXYuOMGh85ZsfeaG/6aHGbv0RCXHVvufmfkZ+o8OepfFeNlKVSEtTXp+U441W9K/VEf49GhLw9EdmXnzp3lPm5VcC/Z+u2ycyGEHHgcF8f27duJi4tj/vz5FOz4mdzVUyg8txUrnyZo3LUGw4W9e/fGpWl7042a8toooicoPFD30h9GUkVIaeiLHH1RNH+1DduueurEjakhKpXLp69j6+qJbYve2HefyowFyxg0aFC1DvFERkbSqFEjfHx8dNu6du1KUVGRyfibmsItJ/qrDtQEaBVh//79TJkyhT/+2oJLUDBpJ48QExOjS8R09uxZ2rZtS1KSqSCxsgkdPZWeEUfZm5FLZlp9gBKeG7cwW90wlbpYqP5SE4BO9MhByIZl+qgiSF8kNdU44Jlly5tz/6Z1u8dva6DazTJs2DCCgoJ4/fXXq+wYlZXor6q5GTvPycnhyy+/ZOTIkUQPf5Yln3/HjBkzmDx5sq7OwIED2R0Ti++At0hOln+TQpt64O+aTUyaI8ePyTaalJQlD00he3CiH5ZFzfFjyQaiJzEplwkPpdPOu7nuGPrCJS47ltl7NCQm5dK9xY0Sbaj07+lFTJojiUlyn04ciwcgPTEdrZd8LXl6Oit5gDK5tnsLN/74HxdOHKl2N35lYLH1Ym7G1nfu3MmYMWPYd+YKdt71yDy+g9TUVF0g64EDB3jkkUdwfmoaTgGhOkGhemVKCIyYq+Bfx2DKuCkRYjylXB/9+sYCybiNssSSepxze06St/lDpgx7yiDMwkIx5bXzu1bgAOTn5zN27Fhq1arFq6++WiLfwPbt23n22WeJTehMXvZXFW7/gTkjiawTy+arfrrp5MaoIkfjehGgxGro+pgSOaqw8ctzKCFyVLGUdjyDmR9uZuXqTbRq1arC53E7yMvLIyUlhVatWvHvv/9W6RpLd/NNX2XlypVs3LiRRx991MCrAPL/etSoUaw5d51a3UcCcuxLlL8tiTnZLD7ixfFjyfLMqfg4AIIiw5nQK5eYG44s+bNILkMWPvP6FxmIGzAUOH/HnmL2CnuSkrLw9HSWhdPR05BllNw2qAFtIhuSGJ9ZLK6U4+Pji9ZLqxM4KodmjaB2xAP8+/mcSs+ZUVVYbL0kN2vrWVlZjB8/Xjcz0Hha+B9//MGQIUOIDx+FlcaToPBAXayM6m0xNVVcjY0xVWYOXV392B5zQ2H6HiT9Onrb9Y+VeWoP8WsWsOePFZU2Zfpuorx2XmMW27wZbG1tmT9/PtOnTzeZTOnBBx9k4sSJ4Ljppto/OF2+wapDUSDH6KgvKB6qijnViphTrVi5txmbr/rpZldB8YwrdaaV/ksVM/ozsIyxqWdP08Y+PBzVgYULF97UuVQ3//77L4GBgbzwwgvVtoDk3UzPnj353//+V0LcgDx9ee7cuaQe2UH2lVMA+Dtlo7F1wcvBkYjaKbJ3RRUXyB6e0FpaovxtiX7YShePA+Dl4GjQvn4gsYuthsfrtSK0qQeenvKPj6ensy5g2YD4OHZvPqMTT4AsgrIydX3RFzcAPg/24Oq/26nbqi3JycnUBCy2Xnk4OzvzySef8MYbb5jMefPII4/w4osvUnDgZ4Pt7eskGc6IMiFEypoxpVJi6Mq/TrFQ0X9vDnNiRw8Hv2AcfINofn97fvrpp3L1y0JJqmcJ7juYvn37Mn78ePJuoQ2tbzKXNmh1okadXp6yY5zyt6DElHO/rhPJ7JpOZJ1Y3RDXXi4aCB+VvRm5Jj0/+p6c6DH3M+BSHhOmjiUmJobXX38dR0dHioqKOH/+PPHx8djZ2dGyZctKS/N/K7Rv354bN27c7m7cM7i6uvLM44+y+spJHOs2JuaGI5n5GRxPTWfdIQ/Sjxanz9Q2a0RE7RTAVknad533XlBvFbk01Jpe8FMVOnMOJbB1SyKATuQEhfiR5KUlffd+w51UUaWIJ5wVQWMkiLw87UlMysW343+wahRJwtpF1AuLYO9fa2nSpAlCCK5fv87ly5e5fv06zZo1w9vbKOnJbcJi69VL3759+eyzz0hA9bIEAp7FHhozomLfwdRyDSWVC2ORU44ZXPrYaN2p/cwksjf9Q/9BI7h27RojR47E3t6ewsJCzp07R0JCAk5OTrRo0cJkIk8LFoGDo6MjhYWF2DuOIDf7s7J30ENN6mcOY1Gjj5xTZyKblaVW0uM8DDxB5xcUz1wJGubISuTsyBEu9iUEj07oBDgwaU4Un837nJmzZuDm7ogkSdzIysevtguF2UXEJ2bSsVMXunXrRu/evXWzzyzc/Xh5eZF3Uvbg7L3mRgv3RGJuOBoEHYMcGxPlLy+JsuLSdd7/PoOQpj5819vT5IwoF1uNTtwcSTkPFAcsG5Me1ADOn9Xl2FHx9HSWh7O8tAbb1Bw5iUm5uvdCCJr9dzTXNvxMizYPIhUW4FIngJTTR3Gu24AiG0dyY89j6+rJkCf/Q69evejUqZPBgp8W7l7c3d25evUqtoX5CGszD3OK0HhyULhuk37MjjmRU1qMTYl6+qLGWNiYEDrnD1wo0U6DhzpwztaBsbM+Y8z4CQgnd6TCfCjMR7j4QF4WUnYqjz3ShR49etCrVy+DBT/vde7qGJzysHz5cv47djBpF8xPBzSFg/M4Vn+TzOzkeMPZUya8Neb2d2tng1uYLf6N95XZRujoqbrlH1RKi+cpLCgiNT6Lfy+k4NbYgwe85CfpekWCk0cTOLDnGof+vUY9Hx8+//r7Gh0pXxZ3e1xCefEMqIOmx1icg1sQ2tSDng1jimNsNsspEoIiw1k+RJ75seLSddYdcsLL056I2im6tapKm/a9I+Ew6y7L5Rt33NC1i4+v7MVR43H0Ucq8fDQ6T42+6NIfplK3qwHLnp7OFGSmkht/CSsHJ+rdF05ifCZSUSE5Mecg5gixuzZSkBLH6BeH8fbbb2NnZ3cL/8U7G4uty+uBDX3jQ+wekheLLBFjoxdcrA5LLfvqgK6ucXCyMcaBxbptSru3irmgaKmwACkjHikrCSvfUJ14k7LTKEo4TeG1gxTFHEa4+rPvj58JDw8v0fbdQnWuJl6jadmyJdnJFU/GufqbZDbmpeqGl/RxcB5XqshxcB5n4P0x1YYxKUfy0frWJ7JObAkPjv6wlrr9QHY+aO3wauFjUGcvQKCWB5t7MXjU/ZzfFk/PR7vxzuy5DBs2rEYkb7Jwc3Ru0471Vy6T7doAkL2F/k7ZePl4cF4J6p3QK5fM/Axm79Fw/FgRoU3t6dkwhs5+chbY0sTN75f3EXPDEX9NjpK8jxKBxZ6eztCsUQmRI8fhyE+eXp4lhbuxsAF5tlX60dOKJ8gbravWICsyfvdBq/uo95/nyEmK49NFM9mxowvLli3D19dETJCFu4KWLVsiZZUSn6WIEFOBxRUZniotAPlWMNcHER+HAKjdwnC7oyvWAa2xDmiNVFhA0aV/ua9tR75d/DnPPvtslfSxpnDPC5zAwEBqObgiNe9D4rayh6iiFjzKc36ubMxMZfPVYlegW5itzgNTlgcnJ2sux98v/ix7c/J1uXXktiYatKnPc37F63sY59YxFcNjCl29Vm5MavgQ82a+xaFDh0qsjmzh7qFt27a4nzrFb3rbYm7IQls3Y8mhiCWnrUlMyiUpKYuI2lY6cWOKHQmH5UU3bzgSk1kcyB+T5khSUqLuc1CIIl58NPKQk6dzsXdHQRUvifGZTOiVy8oz/rop5MZTzA2Ij9MNd6n1jIOTHTx9qfv8DE5uXELr1q1Zv369bg06C3cXLVu2xCE/laK8Gwg7eSKIsZAJCg8sNTeNMfoZiE0ORxlhdmq6CW4p7sfIaySsbbAOaodwr8fA4aM5duwYM2fOvLm27wLueYETGxvL9cwUCsohbkJHTyXC5SifnCy+katxMylH8g3WqqoIOVlzSdkxziB5YEBXOR+J1rf4GBrXizTVuOKX54CPdRjxhUf4JiPNwAOkTkcvD6rIidDa0/PN1nwzfgnBwcEMHz7c7ErrFmouBw8e5M80LdQCf9dsvBxs2Zsge1r69/QiwjuFxBxZnCTGJzP6GRfdsBQUe28y8jMNFueUxY3cjrqyuCpMCGoAFAsOdQgqtKkHXj4dTHpmAPYmuPFhRxfAhVe3ZnDCxPlovbSkgyxw4uNI1xM6+qjH9vbTIh5+niRbB0aOHMm7775LmzZtKvZPtHDHc/r0abJxwN7WfF4xk+iJBVPeGePp5iUwsW9ZOXaM65VL6JQjK7NVrTrYdZvCnP+9Qd26dRk0aBAODhX8f9wF3NXTxMtDZmYmRQWmA9EemDPS4PPEyLOs3NtMFxCsCo/zC7JvWtyoBA1zxL/xPrS+ybq8OerLv/E+XYCxPrF2Obp1r9SXKnaM65Y2DLY3I5fD+YVEDQln0ZdzDNLPW7h7OJGZTMb+9TRuWIvu9TI5dN2GmDRHBrdNJibNkZVn/OUhJtdsJvTKLSFuYrPjOJN+hr9jTxmIm9LQemlpE9mQ7i1u0CK4ODOrfpyNfjwNyFPUx7cwPQNKTUSoIz6uxDBYemK6wdRz9ThenvaENvWg3eBBnHOuS/uoR0hLSyu1/xZqHtnZ2VCQS9HlvQZxNqYICg8sXnjTTPxMeaeP69pT0J9OXt7gZFOLgOq2VxBh54xVq4GMnPIu//vf/yq8/93APe/B8fDwoLaPB1euGE7jDB09lfTitCA4OI/jm9jjutlNaoDw8fcrL9NkhIs9uJiPsdENK2kglj1ml37Qb0/dR/XsZKbVN+vlCQzzoU2QB2+PX8D06dPv6mDMe5HHWtzPmRNxePtqANkuEpNyiantqFtvKibTAX9NjsGwlIuthjPpZ9gYow6Xli5qVNQkfV6e9uy9JntuvJRlebw87XWxNsePGe4nT1F30c3O0l8LS6s3y8pA7GRlyjOz1BlaQJIy7KYiH98eG0cntA/9l/SYGJYsWcJLL71UrvOxUDPw8fHBx92FFCd33TazgcEm0BcdNytujD+bG9bSnzml648poVVaEsFSxJl1nXCEsycfffQRY8eOrdCCtXcD97zAGTVqFFeuXCmx3b/xPjLT6uPXdSIAc166xKzNrYDim21lipuUI/nsbSwLG31homIuV47+1HL9usYrmKuUNYTl5aOhSZMmbNq0yWTSOAs1k7179zJj3nxavb2U2m7F9uPlaY+/UzJ7r7mx+pejurw0MZMciG4kTxWPy5YX2QTDXBv+GtMCWx2eUoeGtm4pXnE7US8zsXE91dOy95obA4LhTPoZuS9phsOlanZkgyEqE6QfPQ3NGpWYbg6y10gEtWP58uUWgXMXIUkSgwcPJtn7AWy85OFR4yGlEhmIwaxA0F813BzmBFN5g5BLJA28GUoROVZuddFoNOzdu5f777//5tqvodxbck6P3377jf79+7Ns5Z8my7eNDmXX+E8I6JrOnJcu8clJN1KO5OPWTtaEKTsKcHAeVyl9UduJOWV6mQVV3KgZkTPT6uteKqaCkQGdYFJf5rar62T55TnQu3dvli9fXinnZuH2kpiYyOjRo+n06OMEP/MqdRrWUWJt8vF3ypbXo7qhrAd1/qxuuGfh4nNEf53L7D0aRdyURDdTytyx4zNL5NjRx9RsKYDjx5J5dWsG0V/nEv11LoPDioOV9T0yJTw4xktBGAUeG/fFrn5L9u/fT2JiIhZqPt999x29e/fmz+2HsW7aw6BMXUyzBHo5aszVKW1F8dIoT8xNhbiFKej36j39nhQ4Z8+eZejQofz0008U3rheotx4mvc3sWklFtLUr3uzODiPM9hf65ts4J1RRUx6nIecKflIvm7pB+PEgGqAsvEK5sYYCx0VdV2rWLscfJx2s2LFCgoLC2/63CzcGbzyyit8+scBbDsNo+l/euqCi70cZHuJ8E4hJtNBt9ClitZLq/OsxKQ5lnipxGQ6lBA65oSLvjgBJdBZGary8rQ3mPmkLgAK8orn+vvqLwqqw1lT/ALdWlbm8PR0RtjaQ/1wVq5cabaehZrBgQMHGDt2LKtPgF3YswgrmzLjb8ytA2UK/ZXCy0tVTSM3SRni57391vz666/UhLx3lck9OUS1d+9e0gvNL9SnL240rhfZNjqUnCw5iNhY0JQnqV9ZxzFuc29Grs6bI3tmDGdoxW6Ql3rQn3VVGqp4KS1m51hmjq6eqGuHi1MBU6ZMYdSoUTVy5WYL8sKEv2/ZhVOXkdj6N0YIQYR3Cl4O8g9/Yk4+exPc+HFloiwYFHGgVYZ1bhXjqdrqNlMCSI6zcdSLy0nW1d+4I1PnhTGYbaW3MCcos6qUvDjmxI06VKW+EjK68sr02fj7+9O9e/ebPVULt5ldu3aRUFALO7/wEiuEm1tIU6WyhEh5pnubm25e5uwpdQjKeB2rcnp1hFsAZ2NTmDlzJkOGDLljljGpau65TMYpKSm4e7hDGc35dZ1I076HFXFz8yKmvPh1nUhA13Q0rhd1XpvyZEfWTxqo9S1+6tW4XtQNO5WFKeGTcDmNIytP4+vRssY/4d6r2V1HjBjBV7/8jqbPW/g0CCaqnRPd68nDNIeu27DukBMnjsUXr+KtCAN1mQVznhjAIPBXnxLTxBW8PO2LA5n1PEDqNv3kgDFpjgb7q6uN66Prc1ambiq67rOzBm2zRiX6pi/aVPFVVFBA+q4VnPhhAQd27SA0NNTsOdcE7kVbv3jxIoGBgdgERmET0MFA4FSXuCkP+t4kU56gUkWOsZip4NpWAEXJFyg4spIBUS355ptvyr3fncgdsZq4EOIRIcQZIUSWEOJnIYSLEMJKCPG9ECJZCDGmKo9vzIkTJ3j++eexdig9aOyBOSMJ6JpeIXFzq0NVqjdGX9yoq5KX1oecrLmcX5BtNganrJlWIHt49IXQ3oxcvOu50vXRRlw7d6yUPS3AnWfn2dnZfPzxxyxa+iNu7Z+k2YMtiGrnpAsaXndZw/vfZ7B785nioR5F3Nys58Z46ErFy9OeFsFFysyoUvY3yqOjL668fDQl+qX10sqeG1XclAN9kaTG41jZ2JDfsBv2XnVITb25WIt7iTvN1g8ePMiQIUMQTl5Yt+5tcgmGO0Hc6GNumMtsnBCUawXysrDyCMQ6uAPf/nX4pvaviVSZwBFCuAE/AOOAOoAA3ga6AieAusBDQohqySjXrVs3WrcNZ9PxdAqzTRuYX9eJRC14lEsbtByc7lQhcXMrXh7VA2McVwPlGwJT6+jvay4GpzRUofOcnysNbG34fekRuj/xdIXauNe40+z8t99+o06dOkz74kcChr1H494DaBFcRHSjQhJzsll8xIuFM7fLQznnz+qGeXSZjI2GlRKTckt4Y1RMeWJU1Lgaf9dsnXdGFUH+rnJwc0TtlBIzsdQyY1SRoy90SgxDqYLHRLI/laSkLN1LDYK+unUd2txUGjQov1i6F7mTbL2goIAHH3yQ8Had2XzdE7ueMxA29iXXnTJDdYubW5luXgJV7FQw6FjKu0HBkZXMeW1AhfaryVRlDE5PYL8kSSsAhBCzgTXAeuT5pjbIF0i1jJEdPHgQv95DOPvVxybLH5gzEo3rYYN4m/JyK+LGwXkcWt9kA3Gi9U0m5Yj5AElTbaio7egPV6n45TkQa5dj8NkUhYVFTJvzD4E+dXnrrcqbCn+XckfZ+cWLF7ELa0/jwVPkeBNPe6IbZerEzepPNhZXVmNuzHhuDIaJlBwyIIsQVdyY8troY6pcFTlqzh2DtatKwctHQ2J8pm6auNr3EgHHZaBf3+H6SbI2fcG2HVvumbiEW+COsXUrKyv279+P/aPvIuxlO75TxQ1UfCZWmfE8FRU3hfnkbf0YK++GjB49ukL71mSqUuA0B/QXmzkK+AA7gEHABeAtSZJKWWSmcli7di1phTnEmxE3E77vTVNNCuM/al5ucVOa16a04Srjfdza2RjE27iF2ZIe54FbmFyesqP83iHjNkDOm6NO/4ZikWNO3ADk5BZw5nwSAW3qMWX4k4R37Y+Pjw/+/v4EBwdbFuQ05I6x88LCQuYu+AS3LoMAWRD0bBiDxrY2G2Py5Tw36lRqZ02JYSlTQcGmMCVa9MWQuhxDcZnqKM4tEdejL3LUz/rtmGq/PKQnppc6i4r4OPDSkn35OPaubjw+YwFTu0fISeJ8fGjYsCEuLi4VOuY9wB1j6z/++CO5jj7Y2RVPFilvvprbjX6gcbWRdwMp9Sq4B2B3/0B+eL0XPj4+1KlTh8DAO+P/UhVUWZCxEGIRcEmSpBl62/KBAEmSYsqx/1BgqPKx1dChQ0urXionTpyg0NGW3OSSadkdfPyo55xHulRI3IVbNzph5VNim43GvCCwdixZVpgtUZApfy9SUXyJclPHM3UMa0eBtU0BLnb5OFpbYVtUtjDJt5KPm59fSGZGHlKBRGFhEQWFReTmFhISEoKNjQ1WVlZYW5vOj3KnsXDhwioLvLyT7DwlJYUrsbE41w5EALbWRbjaF2FnZUNqXgEx125AkbJcgp099o5y3JeNTflHqm1LqZtfUGS2TH9/W+vierbWRdhaSeTr2WZ+oZXp90r7BUZ/VQrzDdMaWNtaG5RZ21oX1ynIx9rRAY3GjqzkZApzc5GKCrG2KqIoPw9bB0eaNmxAbm5ujVrD516x9SNHjpBv7w62sgi2d7LHyVH+vlOSb5Sob+9kPmC+Msi9YSjAzR1P7eON7PKl4DBu95YozEfKzQKpCIoKEaIIKS+XsLBmALr7ek2gvHZelQJnLpAnSdJk5bMdcn54J0mSTE/BMN/WTUfcHzp0iPYd2lB38DhOfDijRPkDc0YyIyibKecd2TX+k5s6hoo5z42aHFD3WQkoNhUYrK4gnrKjACh7+Es9pvExVNSZWfqJ/EpDfwjLmHfH/0WjYA8274wjPz+fFi1a0L17d5544glCQkJKbfd2UpUzS+4UO8/NzSW8WxcK6negRbkYuogAACAASURBVD85biqidgpR/rYk5mQze5OW3T/9o/PgaNvcZzLmpixKm1lVlpdFf4hLxV+Tg79TtsGaVvpeHH1vkfHMKihjlXE9VI9O+tHT8gYfX4JC/HTDXudPxOq8WcEcYM83X2NlY0Pulcs4ODjQrVs3Hn30Ubp3735HC557wda3bNnCQ4/2xa7nbETsNYPAYlPDU9XluTG1HIQxZS7YWUa7lU3umjew8muGNn4P+fn5tG7dWndPv5Nj0spr51U5RHUSecxWJQQ4U9EL4VaIiYmhTZs2RD4bwhUTytTBeRwjm1wjFkiPq2NSoJRneEhfZKjCpCzMzXpStwcNc1SEjukhqrKEjUp6nAcaV3l5h9KmjJcmbFSEo+DvnRcY80Yn/OtoOXk0gb3bv+P9ee8QGBRKdHQ0/fv3x8vLq8y27iJuu50DDB8+nKtX0gh7sjOJSbm0CC6ihXsBGlt3lpy2NhA3OGsMxE1FhoJMTf+uKGoMDpSdDVk/3scU6vCaKnTU+BpTsTk6caOHfoLD9MR00hPTsfF2JO7oETw69cPq4TdJPHeGny6e4ofxb+Pwwgv07duX6Oho2rVrd68N1952Wz9x4gTdu3fHpuWzsrhRUIVDVYqBsiiPkLqZoany5NepEPqzsKztKbqyn6zIMQhnd7bFn2TrorWMnzqDdvc1Izo6mn79+uHm5lZ5x69GqlLgrADmCiE6II/VzgS+r8LjlcDT0xMrKyvywn3l0WEjXl10jpaFHfgu+x/dMgzlFSjGqELDlOAw5bFRPTWltqlL5DfRoF/mPELGGAcaH8vMAY1hcLG+sNGfUm5KDPV+pjmJDlZkeThxJr+A5q38ad7Kn15DmhO3P4U/fvmGKZMn06dvXxYtWlRjhrBukdtu5wB+fn44BEdg6yLf6A+ds6J7PcjMz5DXctJfxkBvlpGxQDGOnymLisbGqKiiRQ02VjG1vpUqckz1TX8lcpPeHCW/j35SQFX8GIgivfI8bSCufaeRpW2EVljR4IH7SEpqDBE9KUxP4rvjm1n8+NPUr2XHd999R5s2bW7qf1ADue227ufnh7W1NUX120Bs8aiYuTWj7pS4m2qltDW2jKaY29Z7COHkgcgqBFd7rGu3wLp2C2xaPc2e2GPsmvkFw196jZdHDOHDDz+scYK+ygSOJEnJQojngCWAF7AMqNj0pFvEzs6OevXqkRWbiSRJhI6eWmKBzPjCIyWmU1dkVpTqSVEFiL740A03mREy5kSOvmAxJ15MbTdO9AfKCuUUJ/wzJW6Mc+UYixtdeW0NWqPtTTUOWFlb4d/ag9da1OaNvL68/tHvjB8/nnnz5pns+93EnWDnAI0aNSJnzXYAEuIyEEKQmJOPl4Pi/XAuHooyFXxbXqFiLIhudj8VfaED5j06+iJHd2yjtaU8PZ0NvDZaLy2o52q8CrkSZFyiHnDx7HXQNiquq0dWrh0EP4yNcxiX4w7Tu3dvdu3aRd26dc2f/F3CnWDrrq6uODs7k5KVDH61a9wPbrVgboaVifw5VrUCDMuVfYWVjU7sSHlZfPTtB3h5eTFlypSq6HGVUaVLNUiStApYVZXHKI0zZ85w6tQpZlvV58PfP6Ld4004Xo799GdI3exsKTAfY2P82bhe+T07Jb00hsIGA2HTpc9i/vp1MGBe3JjbVl4y7c4w4bkonnj5XaKjo/nrr79IT08nKiqKNm3aYGtbvuUlahK3284BVq5ciVZjS/quFcT8tY4Wkz5HDo8oiTo8VZ7hJVVEGK8ADsW5boy3G+9j0J7R/irGQqe8U8eN16jSz+ejZkAuIXoAfHwNZloZzLrSX51cqaePuoq5tRDEpZziq6++olmzZuzevZtmzZrRtWtXfH3N5+KpydxuW9+zZw9JSUlYZ10nb8tH2LR6mobd5YU1q31mEqbjbs4fuFBtnqPs7/6L47Nflq+yKnwqmChQ2Dlje/9A3njnPXr06MHGjRvJy8sjKiqKiIgIbGzu3BWf7vqlGpYsWcKLI0agdbYnudCVvOsXdWXy9HAHvolN49gvzXXby8oerE95Y2FAFiaqINHPV6OfA0d/qrc5Uo7kG7SlihrAYCFNY6+NqTibWxEz+sdQ8ctzYPf+K0yeuYHavlraNW+KxtmR/afjuHDlKpGRkXTt2pXmzZuTn59Pbm4uubm5NG/enODg4FvqiznuhfT1165d49lnn2XX/gMUFhTQfOLnvDPIn8ScfBbv9GD35jO6H+6gyHCTAqeiw01liRt9D0tZwczGfTFO9qe/BIS54/6fvTMPj6q6//B7skCWSSAkISTsIApERCQq+hMBCy61Lq27VXGtWrBuRUELbnUpIJUqdasLWrUubV0r7oiIokFACIuyL1kIEJJMyJ77+2PmTM7cuXfmzmQmmQz3fZ55mNzl3HMnhzuffNct60uA1ro+/gKQvUSLKmj0GBQNVEVR43t3o1WWQvbhiOzDyEiooHJDIUMHDuDUU09lwoQJpKametZ5UlISv/jFLyLmvo31ta5pGk8++SRTb76FBEcGyf2H0+eyWR0SYBwoLiac145YDI4eE+tP89ZvafzmWUR6LnG9hkFcAgkHNpFSX8GECRM49dRTGTZsGA0NDTQ0NFBfX09BQUHELJtW13nMCxyArVu3MnZMAbv3tHYOH37bLGaM3wS4uoUXbxztZTkJVuRknJjgE2vjT6ToLS/6Csb+jq8qzTTsO2WEKkDUhprqtmAJ1N+qqbGZqqp68tN6AJAT7yrqs7/SyfIff2LZqo1sLy6nS2ICad17kZCYwHc/rOTyyZOZNWsWPXr0CHpO/oj1h76kubmZmTNn8sJ773P+gie5crjgpZ/i+XTZQbYsdpcvUbKHwiFw9Ofo3UY+55gIHfMGnK2YBRuX76336VcVqOWEFEOAf4EDPiJHdfENyotj8856qve75jpoWC5ZWUlUb13P/rXLqdywkoR4jbiEBOITu1C7v5wEmvjXU0/yi1/8wv91Q+BQWevr1q1j5Aknk3fxDBxDjmlXgROM2IiUwDKag+XmnWYCx0/xQK25ERpqEMndvVxZfQen07N+PcUrvqV08w7qa5tIyUgHEUft9nXccfMUpk+fTnq69cK1VoiGLKqoYP/+/fzud79DOzwVFIGTd8QKoBtFzjqclQMAX3dRsC0Y9EHEweBPwECrlcZZOcDQchNsWwZJviPJksgprK7327xTH6DcIzMFGryP6dHNwRljj+GMscd4be+bfzrl+/bx8N8eZ+jQocyYMYOpU6fGpDsrkrz22mv84x//YPQjL9KnexPrDtRSXJnH3r3lIY8ZjBVGHmMmcqQAMRtHtc5IjNpBmDX0tJr2Xl7m9LLC+FhpdC4qM7KyUtlSXOMSN1tcfyxtKSuF8aMgbSADzh3hOVbel6ZpHFz5P35zxWTGjjqauXPnMnTo0IBztmmltLSUa6+9lm6jJuIY4nqWtMU9FUgsWMEs00luC7fQkdczG9ev2AmyCjKAiE8EKW7AI3J2bq5iJ70h5zwGne6aUz/3tRsPlPP3Rc/zwgtHcO+993Lttde2e+JJ56jqEyJr167lmJEjyUgupaXrpZ7tSanTKEjrSpGzzkcYSGFi5HJKSp1m+DJzT215utZvI8xAOLpt87wAjxALN1Y6jhsRqKaOpKx5DWXNa3y2980/3fM+OzOTeffdy3sLn+eDDz7gjDPOoLLStzCjjS8tLS1c8rsLmTpjBkff9ySHD80kL6WWwj0ZrSIgp5fny9rTh0nXikFPIGuMkSDRn5Od4/Dtb+XuAQUmbi53/6vVm+O8emHJXlZG/bGsuMDUmCFp4UnPTveIHc97+Vm5M66MgrJlx3UjPNYyHXndajm2zwGGTDiFy155jcpBgzn55JN5770ODd/qVHz33Xf0HTqC7509ceZNbPN4wVhjVLGiCgj53l+zTHluOF1NVkVTxNx0AWJ5xowfQu+L7yT5ont56aWXOO+88zh40LcIYySJWYGjaRpXXXUVl585husnH8eBb1urnkpBUlhdH1A0yBgbo4DijBMTvFxTnu1uS5Bq/ZHZVFLsmLmkHN22ua1LrTgrB4Qsbgqr6z2vcFDkrPOy1kiRY0UkqSJHihtV5AAMPeww3nhiPoN65XDi8cexa1donXMPJf773//y3dc/cPE/XmDYSN+/znzqwSg/ByzO5xYogawufgsAmgglKbJUweNvPv4af/rMWxE0+rkNz88kO8fBsPwcTwPPQcNyGZafw7D8HL8tHuS+8jInw/MzW48fdJgrU63GCTVOj4iUc1HJc9TRr0cLvc64hgkPPcIlV13Nk08+aem+DmVaWlq47LLLyPnVjSSMOBsh4rwEQ1vFgxQoRoIg0NhWBEy4RM6WlVuDHsNvp/JgyOvT+gIvkWNkURp9dHeS+xxOxVn3sHjnQbKGFVBeHrpFOVhiVuB8++23VFRUcOst9wLeqd8Vy5rIdyRRkNbVYyFJ77XP81KtOBknJlgKJM4Ykeh5yUrEgbKszJBixoqwUY8xOt7KGEYuKtlZHFqF4OJduV7H6IOW1XOM9lslPj6e2bP+xCXnnsOYY4/lm2++CWmcQ4X58+dz8U2XMjA3kTxHHQU9Kzz7/LmLvNxPBkJAFTWqCNHjT3jI2Ji9e2uMG3oGsBKp1/C7v8zpiSsyE1tqTI88Rr3H7KyujBzc4hE8UvScPK4fx48f4iV8pLtNFgr07Et1wKDDGJaf4zW27Kqun09L7wLO+/tT3PXww9xxxx3U1ES8jVOnZdGiRaSnp5M+crxnW6AvbSuBwFa+/I2OUbOmrFwrmHn5Oy8cYiUsgkcVOnj/LvQ1iURCInkXTyd1yGh6DzuaVatWte3aFonZGJykpCTq6upobGoiJ36EVzyNkVDxjXFRGmAaFe9TtqlBxVLcyKKB0sKjHqNmTunjbZyVA7xia/TixGyf/r2j2za/wiZQ3I2631k5wDNPGYsD/l1UZvvKmtd4go79IYTgpmuupm9eHhddcD4ZmVlMmjSJ9PR0hg0bxvnnn2/XwHCTnJxMTXUNY3s0UV7X6g51xaroTMLu+BJpw8nOcXisMGZuKsN0b5Pt/mJwAmF0XiDXk5q1FWxVZaPjiyuTGZ7vHfdTXImni7k6L/l5eRUKxLjOkGe8FHcc0cHkVsHTrQ8XPPUs//nLwzzbpw9nnXUW/fr1Iz09ncsvv5zc3FzT8Q4lkpOTqa6u5tij0hDC+pdze6ZtR4pwubb0qez6z8UsHimY6+vFjQwAF0LQ8/Sr6ZKZy7HjJjLqiEGMHz8eh8PB0Ucfzdlnn20yYujEdBbVOeecw4lHHckNV1zO+V/8kU+v/wBwZVCdXbCWx65zpSUPuj6ZvCNWUJDW1WOtkAJEpmSDK6YGfIv5qagCx2i/Png4GFRxA+YxOUYxO/4yrQIhPxO1xo6VvlZGSHGjd035o6Wlha+Wf8fKNWuoqa3lvY8+5sJLf8t9991n6fxYzyxZtmwZ5198Hg8ueoY9Ta4v17yUWt79OY/yvfWsLyrzfDl7ZQ+BV92YUFHFTqjixgpGsTzqvkACRx+k7DWWLp6ooLfLCiZr8azeHOex1mRlpTI83/V8WPLlDh+BI9PwPXPL6kpet1ovy5qK7MNV7EzCUbubdV8spaaikt07yile8R0bVq4mJ8c85kcllte6pmmMGzeOw848gabRF/sEFqsxMuEIHA5EOEVHIBFmpc9VONHPx8q9yuMDdXVfseoAWkszNT+tIJPd7NxWQeWqz5n9p2nccsstluZnp4kDTz75JK+9tJD3XnqRnUWLOPXvezz71DTwpNRpDLo+mfRe+xjfp8QwNqeqNDNg+re/isX6ejfBCh29uAG8hJg+s8rI8tMWgSNRM6naS+Do2bF7NyeffQ77DlRZ6n4byw99gLq6Ovr178vdz91Lj6GttYQK92R4vswLeldQ7EzyfFGrPZuk+FGtL6EInkDZU5JAKdxm6EWUnG8w1ptAva38FRpcvbl1rckYHHCJHGiNbZJp+CojB7d4BE7xwWSPJceM4oPJFDuT+PKBu5h63iVce+21Vm4v5tf6Qw89xL+//JD8aX/zCBx/4iBSwsAoHT1UwWNV4ESDFcrfPVoVOEZ8/UEhO1++l4a9uwMfjJ0mDsCcOXP4xQljaGxspG/+6cy+6QEuP/tVw/RvlzjJpNAtBArZ5tmnppFbwag6caA6N/4I5G5S0VttrGAWgCwFkVHxwI6kX+/edE9PZfXq1YwaNaqjp9PhLFy4kObmFk4eWEBL92bWHaii+GCy6wvV/aWanZTIyB5OwEF5mbfAkPExbbG+GKWT62vTtBWj+UmREQp6sWMUJ6MycrArUUFfdfnkcf1c8/Pj4iuuTKbY3TndjOHd0ymvk/td/2YfcyKffvqpZYETy7S0tDB37lzOveJXHJdbBuSwYtUBw8DWSFU1NquzE44AZ7NrhS1AOAz4s+pIEWbWF0zlpD57AVi6KwuAE385mtf+UcvWrVsZODB89xqzQcYA77zzDtv2lHPKxb9l246dHouDXtzoY2xknIn8YpdByBI1IFndLoOM1fdqxWErqELISnq4nENVaabPy+g8NasqlOwqNYsq1CDitrCzaBE7ixYxafxEPv3003a/fjQyefJk7ph2B5PGncmSl5ejaRp5KbUM757O8O7pZCe51uTq/QleVggVVYhYiXvRv4z265EZS/rrhiKCQom5AYOWEN1qPS+rFPSu4IyRBz1iSJ5rZT4ed9TBZM9LjxpH1bfgWD777DNaWlp8jjvUiIuL46OPPuKnwi28eM295CduMDxOFTdqCndbMatz0xZx429e0SJqIoUUN+CyyKQOOYbPPvssrNeIaYEzYsQIPv74Y66//npO++3lNNRPYMzsKV7HDL9tFhkjEuk/qYqzC9Z6tqtf/FIo6AWNRL9d/7PeetOWOBw5njqmGi8ULszcWfJzkULHTOTkxI8wfIWL8f93Ih9//HHYxuvMJCUlceedd/LDDz/w4osv8tXs/5ARLyivq8WRmNbacJNWq0pVeZWhq6gtsThqOrmRcAnVmuMvRT1U9G4qKVYC9b9Sj7PSK0ude7EzicLdGRTuzvA5NzspUbHetJKWk0NmZma7ZZ1EO8ceeyxfffUV55xzDk9cdgcDUktMj9WLj7aKEYnVzKtwEM0ixyyrDFwiU75UpOXGiCN/MTbsz/SYFjjgUoZTpkxh4cKFXDblJu7O1TXOc4uR8X1KyHckeaVVq7E4wbqY9P2lVPGhH0st5qfG0hhZYFQxox8nkAstkLXGWTmA4o2jcVYOoLC63ssdJa09euFjJHICCZlQ4292Fi3yvD/p+ONYunQpzc3NIY0Vi/Tr14+lS5eyadMmPn/FFVDvbKzGkZjmOUbffLKqvMrzAmtWCLU2jvpSLTfSWqO32hjF4/iLyTHLyvJYj9wiR6aqWxE98jhZONAIM/FiJGwMg5b9pNX7jHkwmfK6Ro/lRlrcwCWoJkyYwOLFiy2NdSgghGDGjBnMmzePZffdjNbcFPCccAqb9iSsPagiQLBiT1ptVOuNJOfoAr788suwzi/mBY7ktNNOY+y4cfy8ZRDTX/2NZ/u3dyygqjSTwup6r9Ro1UWlYjWuRUV1VcmXvkpxMOgtNXqLUDCWHCnoVDElhZPau8rs85CoIseoajG4hE1bgou9rldWRl5eXruX/o520tLSePjhh/nv8+/SLyWT8rpanI3VZCclM7JHk7HYcGcA7d1bY1idOBD+vsz9WXJCsegYjefTD0sROvr3XnNWflZFixXLjBGe6/gRNh6XmM4SVHww2W3FafRyUQHs2rUrYk0LOzMXXHABRx0xnP9LXBzUeeEqtBeuuBuzcSJR/bi9MYvFMbLkHCzfE/Z1fsgIHIDp06fzyIIn+XX3q722b3m6luKNo70K2Ulrh5EAMRMlqmtKH6djRdQY7de7o2QhQn1sj94tJi08UriYiRP9XMzccGaEo7BfKCz7vpCTTz653a7XmTj++OM5bPAQZv/pUbK6JuFITMORmMbAtJ5MPDHFU8TOyHKyvqisTa4faBUhgQSMmYtMX2DQ7Br+9qvny3sqL3Oyrmhfa9Vk98+rN8f5teYYIY8364vldU/uNHFJnjvYOC/FlTpe0LPCNPh4V2UiS5cuZezYsZbndihx99138+G8hRzR66DPl2k442/CTaSagJqJoo4QScGIG4CyNT+E/Zl+SAmcMWPG8PDDD3PVrbdx/CO/92yvq5nj5fJRv/RlteO2xs0Ea6mRdWeMBIc+sFgdX9bhqVjWxJana9n+iasuipF7ShU96jgypdxqI86OYNn3hfZD3wQhBG+88QbffPYdPyxeDYAjwYEjwcEVhzd7WhV40DWUVEWDFVdLKHE7RuLHaJu/NhGe/bKflUmhQL2Q0scKGaEXMHpUwaK3DKnXkcfmOepaXym1ZCclegWAg3dwsUwT37dlC9nZ2fTqZd7081Dm1FNP5dZbb+Xr2bMA15eqfIG5kIhUYLBVVDESLrEjXUWBLEKRRP/5g0vQqKJm6a4sLxeVjNX5+evvwv5MD5vAEUJ8JYQYo/x8mhDiZyFEjRDiDSFEmnt7nBDiVSHEPiHE7eG6vlWuuuoquiSncEv3I8mdNMOzveSTh03PUVs6hEKo50mRY+V8o1R2WUXZyA0lixrK+UkLk9wHgasdq+Q2hFb4LxSamps71ILTGdZ6RkYG999/P8//9UVS41u/4Hsl53L2kGJDN5SMxdmyvsRSZpRZFpVR7I0R+u7iaqq6kbBRxYgcW2+V8Zqf22qjzxCTc5biZ31RGeuKzP+A0Yscf8JHzln+O3Jwi1fquWqpKa+r9XFHQau4Adj1wwp7nQfg5ptvxlFzgD1rvZucBkpVDvYLPxyuqWDEjD4lO9C15X6rBQPDjdHnrU8H1yODkFsaG6jdXsRJJ50U1jm1WeC4F/1TwEnKtgzgNWAa0AcQwAPu3ZOA9UBfYIIQIvS0jdDmy1133cX8F19i+HmrvfapVpyCtK4s3pXLu4VHGgbX+kMVJVbEib/4FilKjMYxs+4cfc9Bjr7noN+gYylu/I0fCLOaOEZBxuGKvQFY+NEG8o86isGDBwc+OIx0trV+/vnns6+8gjXL1+JscuJscomA4d3TPRYIo7YCakNJPaqoUV1RqogwEiL69/qfrVhqVNGkXlOdg5zb+qIy1heVeVVu1gcs68WPlxtJlzYuBY1e2KhxN/oiibK4n3RHSXEjrTb+xE2eo47K3bvZ8NorXHfddaafSyTobOs8ISGBO++8k/hP/h2R8cOZfSX/bUvAslFmWDgLD4ZCKOJGPa/0nSc4/+wzyc7ODuu8wmHBOQlXwUD1aXg28IOmaW9rmlYBPAJc7N4ngHj3OQJo91LKv/nNb9i/fz9nlHpfumJZE+vm3c/S24aHPLYqFKyKG/Cf4WSUTWVk2dFfO++IFT4CyIqYUjGql6M21bRiuQmXuOmbfzpfbazjrQ8+4NVXX+2IXlSdaq3Hx8dz5513Mm/2fK/tvZJzOaOfqxKvFAzp2ekeYVNVXtXmAGB/cThG1h2j5pd6Aokgf8g2C2b3JQsGellbLNbGMXSNue/HqM6NilktnJqKA3x09zRmzpzJ8ccfb2keYaRTrXNw1YJatWoV+zdt9NoeyFUVacKVUm7UMyqago/bUlgxZcv/aCleyz/+8Y8wzshFmwWOpmkzNU27FlC/SY8CVHvhWiDHrew/BoYBW4GPNU1r9/a58sH/8bJmLzeVLABYVzOHdwuPZHyfEvKOWOETgGyGP0FjJiykeNC7kMyCm624rPwFRkuhohYxtIpaAwd8WzWEu9aNnn/++z88MO+vfPzpZ2Rlmf9VECk641q//PLLWV+0kbINe7y2j8gY5HJVuQWDvi6OFZETTMsFs2OtFBVcX1TWah3J6sqw/BzPKzvH4en4ffK4fp45y/2qhUrtyaXGIQ3L9+7zJGNlAiFdYEbIXlbgbpmhFPgrr2tk9f4E13Yl7Vxabw5WVPDsdbdx5XkXMnXq1IDzCDedcZ137dqV2267Dcfit332GQUfB1OBuL3EkVn/LH+WH6Nt/sRPewo9f5YbKYjW/+cVtr77Mqu+/Jy0tDTT40MlUkHG6UCl/EHTtHqgCUjXNK1F07SLNE3L1DRtvtkAQojfCSEKhRCFkZjgZZddxvr167lrgnFK85anaz11cYxqzqhiw2qcjCou1JeKKnSCTSWX5+mF0vg+JZ44IhX9HMyuo68NpBIocypc1puX3niThx77G18sWcKwYcPCMmaYaNNaj/Q679q1K7fffjtzHnoUwOOmAjguu7en/YBE77IKl8iR1hy9W0qS163WMC5ItQipIkd/rHQVDcvPcYkXZb9a90e9n/Iyp2efUZuGPEedjxUnmIrH6ngyFRzMrTrFziS2bDvIf26awrUXXcpDDz3UEVZKM6L+mX799dfz+eefU7l9i8++0Ud3b1PAcShWmFDERKC5mGVHWbXmWBnf6lhqQLFZvJMUOUYWno/nP8OGt19nxdfLw9qeQSWgwBFC3CWEaDJ4PefntANAsjJGF1zmS+N2ugZomvaMpmkFmqYVWD0nGLp06cKsWbP498dOfvHUL33219XMochZ5/WlrwoI9UvfTKzot6vv9UJBCpmq0ky2f5Lutz2Den0rAshKSwb9XPXxNfprqAX+5L9G9W/U4nyh8uK/3uAvT/ydxV99xRFHHNHm8czoiLUe6XUOcMMNN7DqhzX8tHITjgSXqEhLdGVVFfSs8KSNg7FgCVc/qaysVJ94GRUj8aBaV2SdHomaPSVTwbOzunpq36hNRdXxpDtqeH4mg4blMnJwiytwOMT6N0aNNYudSQEbakryHHUUH0wmrW43X999NTddcTn3339/xMRNrD7THQ4H06ZNY+frj5ke054WjGCDklWrUqBgYtVyE8jyY3SNjiZp49sc/OF9HeWfagAAIABJREFU1i1fRv/+/SN2nYDNNjVNewh4KMhxN+Dy2UqGAT9rmmb9z5924Morr+TRRx/l5t0n87WuAefw22bxbiHkHbGC/pOqPCnZUlCoYmdxZWu3bjU7SY/RdhnAXFhdT/HG0Z4074wRvinr/vDXkNPMNWa2T6aHW72PfEcSJV3qDGNx2mrBWf/zz/z5sfl8s3w5hx12WJvGCkSsrvXk5GTuuece5tz7KO999B+EEFQ3tgYcD893eAmHvXvTvaobp2enm8bS+EPul4G+RunaMjYGchg5uKVVtCjzkcJIIvfpLTnri8pYr5uD3iK1vqiM8qxUhudnuqw2J6a4BIY+U8otdvy5qsrLnGxZX8Leva6O7FLoeAKS3SnhHheUO3hYoh/7v3/+K9ddeCH33nuv6TXDQayuc4CpU6fyt7/9jd77vmJ3pvWU40h1HZfjhTslPBhLTzDWJzPBZDR/1SoTKGNN3V++bjXr//saP69eSe/evS3NK1Qi5aJ6GxgrhBjrjr5/CHg1QtcKmYSEBB588EEWvLmEp1/Z5bVv3bz7PQHHao2Z4o2jAV8XFQS2lJi5pqTI8RTxOzHBK21bngsuQaXWvwnVpRWoMrGK0TxUrKSTyyaZwVp0Zj4yhz/NmhVxcdMGOsVav/LKK9lTupfPPv7CI27AFXA8/Vinl6tKL0Sq1v7U+nKLHquByGbZVWAcnBuMC0haaoKtvLx3bw1Lvtzhup6uYSbg6hUl6+BIcaLrOg4ugZae7S1u5LzA2y2lorfsFDuT2PzdSg5u3cV9990X1L20I51inScnJ3Pvvffyn3nPo2nesc5mhQD1qJaXcATzBnu+P0ESbvGlv0d/sTtWrm3Uf0pF0zQKn3yUp+bNjbi4gQgJHE3T9gGTgZeAncAewLzQTAfy61//mpT0dBo2H+PTiFNPxbImKtY0+ridAIo3jvb0cZIvK5261bHG9ykhvdc++k+q8hpTBjkHKjoYTCq7PzFmJliMXG1qRlW4+XTJV2wvLeXGG2+MyPjhoLOsdSnm75/5MC0tLV6xOL2Sc7ni8GaPRUS6bryocbpeWzYFLXIkZhYf1Y1UXJnMuqJ9njRvVQTpg4FVjAr6mc1Bn8WVl1JrKbDYqPaNDHQ2o3B3hudcj2VHxuK4m2/u3t+Ft+c8yV/+8heSktqnllSwdJZ1Dq6MqriqejK2+f4xZVXk6Am3BUYdN5oyokK9v0DCRh6z7YuP6JfShcsuuyyk6wRL2ASOpmkDNE37Vvn5PU3TBmqa5tA07Sp3UFrUIYRg9uzZ3Dd3HnfpGnGCq1geuFskuN8v3pXLI5f+h0+v/4DHrhvssb4AbP8knVX3pbD9k3SKN462FP+iolpL1LYPElXkWLXUGKV6y31WkZWNVYyEjT4Ox8hqY8WSs2P3bm6660888cQTdOnSxfI824POutZ/85vfkJKSwqsv/AvAR+QU9K7w9EqS1olBw3I5/qKxkKp8iZeVevpXBUJmMqVnp5uKkPTsdNYXlfGvd8s9lhV9YHBVeZXfispSmJ08rp9nmz7+xoi8lNqAqdygWGUUkROM5Uh+rpJiZ5JHzH0x+0GO7t+fCy64wPJ47UFnXecJCQk88sgjvDfnGZobfKdollUV6Ms9mOwks5+tWIYCiZ327GYeDqT4qd+zg28en8MTTzxBXFz7NFE4pFo1mDFu3DhOPeMM3lvUzMvvXuq1Ty2W139SFf0nVXnaH4ArGHnxrlymDK3wCBFVFOnjYqxaO6SrKe+IFZ73i3fl+vTIUlsrGGEmrkIVN9Jik++IXOXivfv3c/H1N3LHjBmceuqpEbnGoYgQgmeeeYa5DzxG9R5fsTAxL9FjxZDp2BNPTGH6hCpvkaNac5b/4HFd6QWFbKPgSenO6upJ65ZCx0rFY8AjkIyQ4kMKCH+WHj1WxI0/jESOuk3fgwpa43tampvYv/Q/9Cwv4vXXX4+mjKlOzznnnMOoI4/hwHuPWz7HX6aVFfS9r0KtWhzKNcNJW8dUBaS06jQeKGfHczN47om/csIJJ7Rp/GAQej9lNCKE0CI9z4qKCvKHDuWF+X/l3p3L+PaOBZ59E58+0/PeWTmA7Z+kG7Z2mPj0mUzO7cbCkkrDmjaqUJCdutWO3XK7kSgJVHHYXyBxoOPUY/X7jao4m4k0KXiCqYXTN/90L2tOZfxATrv4Um648UbmzJkTloe+EAJN06L+26M91jnAPffcQ+EP3/H0awuoaa7xZFY5m5xsrd7D6v0JnoDYiXmJ9ErOpbS2hF/O3U/V8h/MB3YLoPQjDyfLHcir1oORFO7O8GmNIFPIPQX3utXy6bKDnv1qzymJPqOqoHeFxyW05MsdVJVX+QQZSzE10R1cDL7Bv3IML4uLn0ac+kabcp4+KebuaxTuzqB8bz1rH/sj3St389FHH4WtKre91lspLi7myJH5TP3HI2xLPc5nv1mQ7IpVB0KKmzHC3zj62jXhqGwc6BrhvK7K6KO7ez5P/Wd5cOsatj97J/fNvIuZM2e2+VpgfZ3bFhw3GRkZPPjII9w3dx7PDvEOaC3eONoTd+Loto3+k6q8CgRKPr3+Ay4/+1Um53ZjytAKxvcp8dSgUfs7qTEuRmJBH4xckNbVcCw1Td0oFsaq6LHiQlOP0d9DW9C7ql568y1u/+MfmTt3rv0XbYS46667+HHVWgq/XeHZJt1V2UnJTMxL5Ix+Ts7t34Neya5YnF7JuSyZ0Z9nnj2OQWfqXFaSGtcYZq4habko6F3BxBNTfBpe7t1b4+ortbee1ZvjPGJn794an47cKtJ1pU/z1osbaZG64tQ4L3HjL0XcSrdwn/nojlXFUbEzifK99RRv3IK2bS1r1qxp95Yjhwp5eXn8acZM3pn/os8+f/EiN/+qiQuuGhWWL/62Zi+pGLm12hoUHA4CZVBVfPse82Y/HDZxEwwB08QPJaqqquiZnUXf/NN5+d3vue4SV5R3eq99PiLAFQg8w9CSc/nZrzL91d8wsYvrFy/rxOhFgZFI0IsU1cJjdLyzcgCklQQlOIysNWbp7ep2I2tOW9xUeusNwJJvvuHVW28LeUybwHTp0oXy8nIG9O6PI8HhFYsjyU5yfSmr+xwJDs7pN5rjrivlu3OH88jbXdmy2LvBITVOKCtlb3Y65XsdFHfzXR/SgmGGbIRZvrfe055BihvPv446irsl8emyg+76OA6UMi0eN5Vq9TGyJvnDI4Iqk4HWjK28brV+LTqS4spkr9gbVUR1r9vEqIkTSU5um4vMxj9VVVWkZ2VwUp+9fovOeW9zHXfzr5pYevQoSxYdf5YQo6rJ4apRE01xOHqhIz/T5OK1nHvusx0xJVvgqFx00UXce889lJTt4ayhM3n2tQe83E3SPVWxrAmAQdcnUvKJ8ViPXPofFs+ewpShFa0iwBE4pVru17utVKTQkPV3Cqt9xwkUY6MXN1bO8YdaB6eseU1AN5VZfZyEhETbchNhhBBcddVVLHz+n9z3oOuvKilkHInm5dI9x7iFzvArf+alE/+PT5cddNW6UQKPq9b+5K5J0yo08rrV+ogbab0xisNRxUlxpUugyBTrwj0uN9Lw/EzWFfm6hfK6SYHicnOpLRFASQ/X/Quu6wQq+udP5HjPO9nH1VVetg/toGav83bgsssuY+6xf+W8P16HFC6BaBU7WZzUZy8n9cGy0AlEOASJUWPNUK8dzngbyYpVB7y2d+nSpcPWuu2iUujVqxfXXHstv58+gwNVVZw1dCbTM3O84l5KPnmYupo51NXMYcvTtQy/bZbpeN/esYAFGzIo6dJa9ddqkLFe1MjzZN+qwup6T3E/fR8rvXgxqnljllmln5+630wAGbVrMKpqrGKWSZWSnMTBgwcNzrAJJ3fddRcLn/8niz74mLRE8zRnGZ8jkV3JS2pL6ZWcy+/zXS6f48cPgZxeLteV4qqS6d76mBu1+za0tnJwFc5zdwU3sPLI5pTFlcms3ux6fKlxO5I8d5E9KYiMivlBq1XFqyeUidvKI6Is9Knyuob7urL1Q3aOg4ysNHudtwOHHXYYF/3mfF760zyO7bETCOxSkaxYdYD57ycw//0Ez3n+BIGV7Cf12GDaK5gV7gtWoOjHikSKuv7zTU5O7rC1bltwdDz88MPcfvvtnHLeBbz0+N8oOGoafy1axCu1X1HINpKUiscyWyp30gxPttWWp2u9KiJv/ySdoj4lXsJBBhdLzESEPgDZI3JozZpaXIlXn6zxfUq8jpXjSGEkCZRiLucoXVRG4ia3IclvLyorlhw9SV2TqK2NquKoMUnfvn354P0PuOCCC1i96kcu/cPFJCR4Pw6kuDFzY8l95/aHYudB1helUwWtlpyyUmQ0TlZWqqHAMLLcqC0dypXAYxUpflS3kYqa/i3fG6Vpe51jEOMjj1EtRFZaOujHknVwZIPO+Lo4Uux13i4sWLCAG2+8kb9ccgsFM+aR3qe/50tYHxhrFpsjrRKu4wLHywTCrNlnIMGib7RpFaPYnUi4t4w+v5SUlA57ptsWHB2JiYn87W9/494H/sy5V17NrNlzyBgwlt8mj2V6Zg4nzVvH8NtmeYka+W96r30Mut77oZkxItGwE3mwxfFyG1xp2fmOJCbndmNil+7kO5IMC/9JcSJFlGwDoa+ArKJ2CletRWbiBgI32oTAlhw9ybYFp9044YQT+P7771n+9QouOeVyNq74yWu/tNaAS8gYWXPkvjxHXatYyenl+tedSs6WTV4BxP7Iyko1bO1gVVhAa28niezSbQVPiwZdzI9nDrLCsRJ87K+n1urNcR5LE+BJla+u0ex13k4kJSXx/PPPc/ct0/j01smsfukpT30cf40iVaxafYK1zKj4i+GJRNBwOC03/gr9paSkdNhatwWOCZdffjlr163jQEMTY355Fit3xTF6xB95a8JcXh+bwcvXl3F2wVqf884uWMvL717K9Fd/w5jZU1g3735W3ZfCgg0ZHtFhZr0xQw3klUJHIjO7ZL0cI+EkxUzFmkafffr4G6PzVXeWPpsq3BysraVr19BjgWyCIzc3l08++YQZ0+/mxsv/wH23PEjFfteDSooaVejo6Z3qeuie278HE09Mac1cku4qgFSHp+qxv2J9ErX9gWq9Ka5MpnB3hieNG/Cy3uizldSXOoZeoICx9SbPUUdBzwpPAUQjpGAxQl5DddHJcVoa6ux13o4IIbjxxhtZ/+Nahhzcx3vXXcDu77/2Oc5MyOhTysMpNozES6BCgFYzrqwWJowkNTU1HbbWbReVH3Jycli4cCFffvklv//973n5zbe4744/Mjz/dPpyOjlFi8gf/z0LNrQ+cAur68l3JDGxS3cWK2NVlWZSqDTELFSK88n+UgCL3RWK1Zo5ekuJKnDC2SpBHUcNrlZdYOm99lHINqBVFEmrj1nDTb0Vx8xtpWkaRRs2MmJEcG4tm7YhhOCSSy7hl7/8JbNmzeKcMeczfeYfufzKS+nSpYtPJpX688bKNRzRbQS7a7by+3yAbFZvzqG8zMne7HSq1rqtQoq7ykgQyG0uV1Cmj6Vn9eY4spUYUX0grxH6AF8z8rrVmsbVSOuPd0aV97kFvev4cHVKwOuo1JVssdd5B9C3b1/eeustPvzwQ6ZOncqmD99m1NU3kd6ntQK2WtNFRQ2ela4qMLaEWHEBhbvxZrC1eMzcZGb3H8iNZ4TW3MzGjRsZPny45XPCiW3BscC4ceNYuXIlp59zLr++5ndcfcttbNy0mb75p3PW0Jn8eZDrIVpVmknxxtGewOIpQysYM3uKl9uqqjSTVfel8On1H/Bu4ZFMzu3mcz2zruASNWjZCtKNlTEi0dPiwWqXclXc+ENvzQl2jgDlFVVoLY306tUrqPNswkO3bt2YP38+ixYt4qP3P2P0kSfy8ouvkpWQ6eWeUt87G6tZsXcZziYnjgQHVxzezDUn7OOKU+O47dI0VwXknNbfpww81osc2QdLplWPHNzi1QAUvOvLLPlyh+Fr9eY4w/gaiV7wZGd1tRQ0LC1BLkHjm24u55+d1dUTAK0XaVJIZWd1hYodHHXUUQGvaxMZzjjjDNauXcvvTpvAoluuZNmce6guaW247M+So4/bMXMftcUFJMf01/jTX00co1YRRlYio2PV+wvkmjNzTclz68t30KdPH1JTA1crjwR2JeMgcTqdLFiwgEcffZQJJ4zhjik3ctjAgRT+OIfLn3alxPafVMV4d2DxwpJKACbndqPIWce7hUeybt79nvGG3zaLGeM3eSwmVaWZHhEyObebVyCvUQq5JFDAr5wHeNe28ZcaHigw2ag/lX4u/urk6C05S39Yz4vvfMG3q38yOSM07OquofH1119zzz33sHnLJu68+3YuvOR8arXWNSYtOc7Gaq/0cmejd92CR7538P5bre5c1QUlXVaqK8ooQFdftdioZxXAoGG5TDwxpTVzyS0q9DE4Rt3BTa04uo7iqsXHqNu4UZyRKtaKK5P5ZMoFfPrGKxQUFBheM1TstR48Bw4cYP78+Tz++ONkHDuWEb+9FkevPM9+M4uFWYp0oHo3wWAlM8tKI1Cr1Y6NMLPomB2r8vkL/+aEho28+eabls63itV1bgucEKmurubxxx9n7pzZvPns0xSMHEnhj3P40xbXg04KHCNRcsfj/b0KBA6/bRZnF6z1ya6S/Z6sWEKkkDA7Vg04Bld1ZnC5nMb3KfHbiFOf5aX/2aqLzEjsqCLnxbe/oKn7QB577DFL41nFfui3jSVLljDj7jvJ7pnNS689R3Vjq4tKH5tjlnH19vb9fLg6xScGx6gFA/jWmTESDeuLyjwCZ9CwXM9Y/vo/GW1ThYu6X2IkYmStHP25/shz1FG4O4M9ZTV8d+Mp7Nu3j5SU4FxbgbDXeuhUVFQwb948Zs//G6f/9Xm69R/k2RfoC96o/1K4sCJOArnEIiFwrFh39nz4HFNPHsI999zj99hgsbrO7RicEElLS+Ouu+6iurqaB+Y9xvw/P0DBUdN4Nt6VUi5Rv/ylWJl903YWTJriKRpYsaaRxb1yQZdOLgWBP5EjhUsRdX6Fhl48yYDjijXpLJ7Uap1xVg4wtNT4w59lSd0XyKqzqy6ZUzrIV2tjzsknn8w7/32PwYMH8a9X3uDCS86nptmVFaEXNGbByOf278HIHnv4cIfD5b4pc3pSwTFsjuktbrKzunqJHCmUpDVoeH6mWxR5jyLjZ1TRImvjyP2e90q9GhVpATLrLaU/zgzZpmHn6jXk5uaGXdzYtI2MjAweeOABysvL+eC5xzn+DzNIyepp6Vwjt44qCsKVlu3PFWZ2jXBkSwVjxVGPOyahnOHDz2nz9UPFtuC0kdraWubOnctf5z3KNZdewt03/4EVa+b6DQxW90nXkd5tJNs8qOjH1FtlJDKuxyjLSbXgyJo9w2+b5Uk1V11kgdxXcq4qZo1DVUuPXuDkxI/gqxXreeSlRaxYsYKsLGsVR61i/1UbHr755hum/mEKQgj+/ux8eh/W22u/mbhxNlZTXtcqDqTIWV9U5ql5A95p4dIao3dNga81Rx+rY0RBT9+4GRlArI/XUSsZ+4vPsZp6rrLqZ/hh1hU8ePsU/vCHPwR9fiDstd52qqurefjhh5m34EnyL7yC/IuuBNpumQmn68poTHXscDULDYS/WKXKlZ/hWPEW33//PWlp5hXSQ8FuttlOJCcnM3PmTNasLeLlN99iy/btPrEluQ1J5MSP8Nou08X1zTPVmBejcdTzwVvcyPMXllSapnDL6+UdsYKMExM8TUNl4LEVcaOOoxdXZo04C6vr/aaVL125nptvvjns4sYmfJxwwgl8v7yQseP+j8cfe9LvsfqaOQDldY2U1zVS0LOC7KyuXuLGCGm5kS+J/mcr+NTFUWrjqP2iQGfV0b03Sj23PIfKZNLiq0mpO8BNN90U9Pk27UNaWhoPPfQQ61f9wJpXn6Ou0iWOrdbCiQTBpHuH4o4Kd00cAOeG5dx5551hFzfB0GaBI4SYLITYJoRwCiG+FEIc4d5+mhDiZyFEjRDiDSFEmnt7nBDiVSHEPiHE7W29frTQu3dvjhw6lM3bttM3/3SObj7WU7NGFSo58SM8QqWwup7Fu3J5t/BI3i080idjSZ9erQ82NqqhU1Wa6WnloMcndub8H+k/qYr0Xvs8wspqdpU6TjA1coqcvtlVZc1r2FW6L+q7KttrHeLi4jj7l79my6YtPvuMRA24+ltlJyWTnZRIdlKipetIF5RZYUC5PVihIzESKHqhY3kspa6O13iK9UfuryndRd6A3KjuQ2WvcxcDBw4kvd9Aqnfv8GwzEjntIXz8WViCKQLoT8iYpburLrBAQki1cjXsK+nwZ3qbBI4QYgiwALgRyAYWAf8SQmQArwHTgD6AAB5wnzYJWA/0BSYIIcwb4XQyhh89ik3btgGuZpJ6q42K6srZ8nSt5wUuISLTrNUXeAsHtQ+VFCjS1eSsHMDiXbk+4kMvcqTlRi9sjESLvuCfHF9veTLDX1HD3Xv2MWjQINP9HY291ls5/PDD2fTzZsMeVlLk+AQfJ6YxMK2np0s5uNxQWVmpnpceVeTohY6aVq5HxtyoL2i13ISKP3eVnIesXCyLEuqpKd1N/pAjQ55DpLHXuTfpvftRtWuH6f5gxI1R/6hw9oKKdKVjo/FlmriR+66xorTDn+ltDTI+BfhC07QPAYQQc4EHgbOBHzRNe9u9/RHgA+AWXP8x4t3XFkB0OmJDYMiQIaz+dpnnZ7OO2WU/uiwzsiN4xokJng7l0oqzEHM3kSoU5PFquwbVEiRjarzOd4+tFxzBWHGKN46mYk0jGSPkv4le55mlmBsVL9z/YyVVdS0drvYDYK91N3l5eTira6iudoJiCDGKwdEHIbusOdJS4q4mHKC6sb5TuIpMIbcSh+N1D6p1xSSF3CsbS/azcmdCqfvzutV62jGocUNqVlZxZTJaczPbP3uPSydfHNRc2xl7nStcefLxvLlhu9c2f1acQHE67VlBOBwY1dOxgnPDd+SkJZGXlxf44AjSVoHzNvCR8vNo4CBwFLBS2b4WyHEr+4+Bq4CtwP2aphk64YUQvwN+18b5tSuZmZnUWHjO5sSPgIY14HBVNHZ9XK1IgWIkRFTRYCRkjArzGYkco/5YRtdwdNtmqZ2EFQrSunq515yVA0gUG1k1bymvvfRWtGeVRGStd8Z1LoQgMzOTiv0V9Ovf1yttHMxdVSADjltbhqguJil01Po45WVOzzFWKhNL4eKVKeXHaiODjAONW3ww2auBp+n1u9WS1w2vbC6ZPbX1rSfRWlqYOnWq3zE6GPuZrpCZmcnY7qUEbjASPPqifZEWP1aCj9V5BDsfKe4a9pey+/W/8MX/3iEurmPDfNskcDRNK5PvhRDnAU8B04GRwHbluHohRBOQrmmaE7jIwtjPAM+4x+4UfxE4HA5qasyDJiV93a0edhYtgtzvuYPWzuRq+nb/SQNYrDwoA1UVlvv1PacyRiR6iRy1NYSKXgTJY8E7jVwdV3+sbOOgtnmQ46qiytFtG1pzC6ufXc8tU6Zx5pln+r23jiZSa70zrnOA1NRUnwZ6gYSNIzGN8rpaCvdkeMWsSKuHWt1YihyzPk8S2SpBj4z1Ka9r9Igdq+4pM7Ejz5eVjGUKerEzSRFqvk06Afau/IqypR+wY/0an67t0YT9TPfG6jM9WMIZ1KviT8QEe00pdqwUEpS0NDaw6+V7mXP/TMaOHRvU9SJBQHklhLhLCNFk8HrOvT9LCPEOMB+4RtO0J4ADKIUshBBdcIkp31zNGCI1NTWk/wwZIxK9xILqrlJfFWsafV6ec3Q/q+NI1LG8jnOfu/2TdB+rkHyZxdnor6keJ8eS56tjAuwv/IIeqY1hLwIVKvZat47rwW+tQ7C+sjG0BgmbxdeAbxHAQBWHPcelBB8orKIGDVtp45DnqPMboNxQU8OWF/7MHU9Np2dPa3VVIom9zq0T6jM9WCLdvDPU6wcrivZ++jI5g/pzyy23BHVepAj4p4SmaQ8BDxntE0KkAkuBZcBQt5IH2IDLZysZBvysaVrbnjxRTmpqKk5n8MbMijWNHjGScWKCx5oj9wU61+hnOZ5nXFVABRgzkJvLSn8qVxFDV50dVyq663w5RkFaV7ZtPcC8+54iPj4+4Hjtgb3WrZOamkqN09qDX23jYIa+5o2MqfFy9bhdSfqqxHpBY5SpZWa98QpC9tPDyuxc/Xuj6sj7tmxmxOFDuP+CWy2PHUnsdW4d+UyPpPM8FHFjpfCeWTNNq9cNpZ5O3J4iXnz8r1GTJdhWW+lvgRJN067WbX8bmCOEGIvLV/sQ8GobrxX1VFZWBp3zX+Ss84iQupo5gKsujd79o6K3zKio4sjnPJ34kcer4kqPVVFTsaaRdHdPxarSTEo+ae23VfLJw2SMmAXg1Sn9zcrUDusyGwL2WleorKzEkeZyH8lsKn0sjhEyi8pjpdHVt1FFTjBio3X8VteUil4EqV3C9dWO9dYbtZu4VXeX2mpiUhwss9d5pySUZ7o/wuWaCqboYChCRT3XKseM7MYHu7dH1TO9rQLnKGCc2xerMhiYDLyEK9XwTeBhYpxNmzbRLzu4QnVqAG/upBlkjEhU4nAUF5SJqHGJIpTjphlsn+GxEmWcmEBdzRySUqcZjutr3fHN0tIjx5UiSG0mqiLdU/vyvuHZt36gpUV0eBphENhr3Y2maWzatImBgwZ4bTcSOvrMqk+LG1m9ORHwrVCsvvcX+OvTK8otNlQRYyZ0jMbRt1hQm2l6rqGIHHmtQCInJ6WK7e+/xRsvvM6cOXP8HhtF2OtcYdOmTaxPSOMY3faT+uxl6S7fZ30gy0ogq0qksNKnqi1usrrizXzx1kL69OlDdnZ2yOOEm7YGGU8FzFICtgPvtWX8zsamTZsY1L+f5eNlIT9pOQlilsZxAAAgAElEQVTGjQS+4sZsmypiVGuRFDnqPr0Vp3UerULHKFurYlmToQhLSp3mshK5x0nt6+Tlpxdzz5/u5w9/+AOJidYKv3U09lpvZc+ePXTp2oWMDOMaIGmJDo/IUdPEnY3VFO7OoLysVSwHDCI2aJapFxv+yE5K9M7acv+sFyhG4xk16IRWQaW2czCa07I599P9YBP/+9//GDVqlKX5djT2OvfmhSXf0XNE6+/upD57fd4bCZ1ARGu6uJWmnfr9dbs3seu5acx+4D5uuOGGqHFPgd1sM6xs+HE1v/3Nr4M+r/+kKs/7QK4gIwETCPWcpNRpJKVOo65mjqHI0SNFl96Coxc5RvPqmvJHht5USkPpj9RXuP66PvD9AW64bgrTp08P+j5sooPNmzczaLD/B7QqciSuflTemVISffdwPYEaWbZew/cPA31MjipywNgCpLfOeNxZBqKo2JnEjjLYuWItdVvWcMAde71l6Xds27aN7t07rsS/Tdtwluxk8GlneW2TgkYKnLYInWhAFSyBhNfAowdQX76L7KZNbF63C4CDm1Zx9x9v4+abb47oPEPBFjhhZOv2HQzq3z+oc/Rp2Kpo0FtEQhE3euQYZsJGb8XRW3BUXKLHtb3kk9btiV3P56ILkvjyy9cpeaGBcePGMXi4q4hf3JFxTJkypc33YdNxbNq0iUGDBwQ8Toqc1vTxPT7HqC4pFemeMmp6aWa9kbVq9FYbI9Rj9K6tD3c4LNXGce4/AJ8VUvj556xevZqjjjqKMWPGkJTpmvOtzz5ri5tOTnXxLtLy+np+9idizNxWnR1N06heu5T/q1/HkiVLiI+PZ/C4cZxyTH80TSPh2DOjtraTLXDCRHNzM9t37WJA3z5BnSeFjVFl4Y5CH3SsD3hWa/VkuDtR9Jo4nf1Li2lqXE6/PisZO/YOZs6cyZAhQ6LKZGnTdozib8yQIqe0toQPdzi86t3oU8CNrDT+hE1eiqumji+1hplUeleVmRAq6FlBsYGImpiXyKfFjWzaWcu+5Z/y9dMvc/7553P//fczZswYUlN9203YdF6cTidNNVWkZJrHlIzOSmWFn4ax0YKVrCv9sVpzM7W7f2LvJy/RP97JqbfdxkMPPcTAgQM7zTPdFjhhYseOHWRmZJAaRDXegqOmMXnDA+Q2JHlaFyx2W0X0MTjhsN4YYWbR0Ysbs5igsqXbGd/XyRdffMGgAT256KKLufPOO0lODr3nj010s3HjRk49c4Ll451NTk9wsVqtWKJaa/RtEoqdSRT0NC+1ohdFre9rvQKNjRp9rt6fgHwESiuOuk0dNzuhkscefp41n61m69atjBs3jv/973+MHj3a8udg07n46aef6Nm/N8JdjVeNv4kWzFpEtKWdRNmPKzjsq/dYsmQJffr04YYrL+PWW2+lS5cuYZp1+2ELnDCxYcMGhgwKLnBsZ9EijuZYyljDwhJXwQ9Ht20eN5Wawh1uZPxNoHgcs9RyraWZJucy4rf9xMSr7mP+/Pn07t07InO1iS42bNjA72+9ztKxMg5HigW1DQMYVw0OpqO3J45G30/qYDLZScH935Gp43pK1xXx2kP3Mb7geJ588kkKCgo6TXC8Tehs2LCBXoP6+hU27WW9MRInqogJR0fzlsZ6KHyZNd98wYMPPsgzzzxDTk5Om8ftSGyBEyY2btzIkIGhRcZ/2uCtqNMVK04kRY7EXzyOEan9nBT/71VOGX0Cz/x3Fbm55n2tbGKLlpYWfv75Z4Ycbr0x6tbqPYDDp/aNFXFjNVvKq56NJ6bGJULM3VWtjz8jcaNpGt+/+AJr//smz/39KS688EJLc7GJDTZu3EjOgOBCDsKNXri0VcgYWW9GH92dA9u38OV9f+SX/zeGJ9asITMzcDHXzoAtcMKEy4ITfE0XmSqux1fkTAu7m0o/nip0VHGjurG6HdvIrvf+yZ/vuJvbbrut0/hibcLDjh076NGjBw6H//RulfK6Rt8ierq2C/4ypGScjVHVYjBuzWCUHh4sW9/5J7uWfMzPa9fRq1evoM+36dxs2LCBXgW+f7Saxd3IAONg4l3MCIdFxmxc/dxq9+/l87tvYv6DD3DNNddE5LodhS1wwkTRqpWcccP1lo/fWbSIsuY1rtibBu99jm7bcFYOMBQ5ELl4HBWja2haM7W73uSGSydz++23R3wONtHHhg0bOOzw4IR8dlIixUrbKtVKEyj120pquGdcd20bVyq3r+iRgkeKHbUWjl4krVu8jK9f+hcrl6+wxc0hyqqiHzj/wpMN943O8g4oVwVPtIobI0YO7crHf7yJO35/Q8yJG7AFTtjYsXs3/YPIoJLipshZZ5g9pRc5KpESOjIOx2zc5qYfOGHwkcydOzes17XpPGzbto3+A62XQnA2Od3tGdwp2UHE16iYWW8kPnVrTIQLGNfKUc/Piq/k37Me4vOPP6N/kGUfbGKHnTtKyOrtLW71wiYSmMXZhJvRR3dn1Yt/5xcj85k5c2bErtORBOwmbhMYTdPYU76XnlnWaiDsLFpESZc6T2AxeHfh1tfGkUX2ZNdx2ZBTBgmHE3+iKaF7CVdeeWXUNMe0aX9KS0vp1at9O2IbxeGE4nIyyqQyYuXqEnJ653DccccFfQ2b2KC2tpbGugZSuoWvD1W0MPro7h7htKdoFVdffXXMhhrYFpwwUFVVRWJCguUU8bLmNSzcU4mzcgCFbPPaJ8WNxNuSI2l1W7mYEZGigHriE/fTp0/HBt3ZdCylpaUMGR58ML2Z9cWo7o2/Fglm40h3k74Fg9wmU8XVf9XzVCqKS8nKi55+OjbtT1lZGelZGV5f/GbWG308TjhicOQ4kaamtCSmn+m2BScMlJWV0dNik01pvVEp3jjaq4KxtNyoP8sXuCw6HmuOzqrjr5t4W0hKnUbawDy+/PLLiIxv0zkoKysjx6IFp6S2FHA12DRqTJmXUuvV8NKz3WCbXggZuZmsNMA0OlcvmgaMGsG679fS3NwccCyb2KSsrIz07NYikoFcU2oF484ibgB6jjgmpp/ptgUnDJSWllp2T0km53aD3AoWlpgfU5DWWulVxukYW3Qg3e0qrirNpGJZk8d1FS5LTl3NHKp3HkdcnK2JD2VKS0vJyfEvcKobnayp2OL5udjpyrjSd+P2vHdv91fQzwjVEmNWldhf3I4ZcfHxtLRo9lo/hCktLaWfBSue1To4+jo24bLytBURHxfT69wWOGHgjRdfYPRRRwU8bmfRIgCObj62NYNKh6PbNi9hI5HbCqvrfSw8Eune8uolFcb08tqdZYwcOTIsY9l0Pnbu3MmGjRs4fOjhpsfItgxtRbXG+Na3CSxuZE8qWQtHPQ/8W3HWrlxH36Gdpxy9Tfh57vVnyR81HPDvmlIbbxr1ofJXx0Z9rwqf9qRi80+MHHlnu16zPbEFThvZu3cvr/znvyx77x1Lx8u6N6q4yTtiBSBFTKu4yXd4m+WLnHWG4kdSiMuNld5rQGs15BGJVKyZ4TlG7TNlVOvGH1pcGcccc0zA42xik7lz53LZ5EvIyDB+CFc3OnE2uVsxJPl23baCvzgbdZ8qUNT3Vi02eoGkjrXhuzUUFBxpec42scX27dtZsugr/vvd66R3txZ3oyKtM8GIlfYWNgD1VQeo3r2DESNGtPu12wtb4LSR+fPnc85pp5LXy7yktax5A/hYbfSCRS9qzPYVOesMt0Or0AHc7qzWff0neXcsB7xcWhK94IlPGM05Z/e3a4IcouzZs4eXX36Zb1cuCXisIzENZ2M1jsQ0tlbvIS/FOwbHTIQU7skwFEPBCKRAncQDdRnf9dM2vnjtA77/5jvL17SJLebMmcM5l51Fevd0y+forTf+BEuw4scfesuPVUtQS3MTK56dzxWXXBxU0c7Ohi1w2sjnn3/Onddb68tj5JLyJ2gkajNOo/NyG9zvHa37PAIozeUuUGvttMbxwPZPXP+JzXpRAXTNOoxjhyazYMGCgHO1iU2WL1/OscceS69cYyGvWm+cjdWAbNHgQs1yglYhYhYY7LKqWI+fUa0wgTqJg7Gl6KsPlvDMn/7O3/+2gCOOOMLytW1ii88//5y7n7jDdH84+k+FS+QYubkCUV91gC/vv4OROT2YPXt2m+cQzdgCp4307NmTA1VVlo9XLS9m5DuSWkWLG/3PRqjH5HZxvdcLI6OiguDKkpKxO6rrKqX30Zw9digLFy7slN1kbcJDz5492b9/v6d5Zlpi6199qrgxQhUz6s8Sr4Bjd+xMIEFi5mICbzHTGsfTGugsM7LkvwU9K6jdWczTdy/gk08+YdSoUX4/C5vYpmfPnqzYsYeavN5+KxaHSqTdUYHGXz7/Yc4dM5oFCxbEfE0zW+C0kdzcXMr2lJvu31m0iFXx31NU62rJIAWGs3KAx43kL64mEDnxrf5To75WptadtBIKq+vJPx84H695FJ5fj7NyClVbiznwznKefPILW9wc4uTm5lJSYhw87E/cSKwW5tO3WTC37rQia9uYjqmkmHvEjdITq6WlhX/e8yL33HOPLW5syM3NpbJ8f0dPIyQCiZtdy78iYfcW/rronZgXNwBC07SOnkNAhBDRP0mbaGa7pmkDOnoSgbDXuU0YsNe6zaGApXXeKQROuBBCFGqaVtDR8wgHsXQvEHv305HE2mcZS/cTS/cSDcTS5xlL9wLRcT+xW+HHxsbGxsbG5pDFFjg2NjY2NjY2McehJnCe6egJhJFYuheIvfvpSGLts4yl+4mle4kGYunzjKV7gSi4n0MqBsfGxsbGxsbm0OBQs+DY2NjY2NjYHALYAsfGxsbGxsYm5rAFjo2NjY2NjU3M0ekFjhBishBimxDCKYT4UghxhHv7NCHELvf2xUKIoco5pwkhfhZC1Agh3hBCpLm3xwkhXhVC7BNC3N4B9zJVCFEihKgSQrwvhMj1N99ovpcA92P4O4v2++lIYmmdu+cQM2vdXufhJZbWeiyt8wD3E51rXdO0TvsChgBO4AwgGZgBrASOB0qAgUBX4C/A5+5zMoD9wLnu928Cj7n3nQbMBFKA9wFHO97LkcA+99wdwGvAywHmG5X3EuB+DH9n0X4/9jq317q9zu21fqiu88661ju7BecU4AtN0z7UNK0WmAuMBDT3S/baisf1IQOcDfygadrbmqZVAI8AF7v3CfexCe737ZlidjLwvqZpyzVNcwKvAPkB5hut9wLm92P4OxNC9CC676cjiaV1DrG11u11Hl5iaa3H0jqHzrjW21MBRkBR5gADlJ/H4FKSCcBTtP6nOAgc7j7mUWCOck5X9zEOXC6713Gp1Jvb+V4SgS7u95m41PETAeYblfcS4H78/c6i9n468hVL6zzA2uh0a91e5/ZaD2FtdLp1HuB+onatd+pu4pqmlcn3QojzcP0HmA6MA34NHAP8DMzGpTaPBdKB7coY9UKIJiBdc6nSi9rtBhQ0TWsEEEJch6tAUh0wCZiMyXyJ0ntxz8Xwfsx+Z5qmNQkhovZ+OpJYWufuucTMWrfXeXiJpbUeS+vcPZdOt9Y7u4sKIUSWEOIdYD5wjaZpT+Dy972sadpK94c4HShwm8wO4PITyvO74FKaFe0/e180TXsWl0/yTuBtXErYbL5RfS/gez9CiEST3xl0gvvpKGJtnUNsrXV7nYePWFvrsbTOoXOt9U4tcIQQqcBSXCauoZqmvevedVB3aBPQDNQCG3AFS0mGAT9rLt9hhyGEuFsIcRmAey5PAj2AXZjPNyrvBfzeT0+Mf2cQxffTkcTSOofYWuv2Og8vsbTWY2mdQydd65H220XyBfwOV3CTfvtYoBSXOTMZlznzfa3Vd7jffUwG8AFwb5Tcy1pgEJCEKxJ9tb/5Ruu9BLgfw99ZtN9PFHyWPp9ZZ1znAdZGp1vr9jqPyOfp87l1xrUeS+s8wP1E7Vrv8A+tjR/4E0ALLjWvvvoDVwGbgErgXSBHOe8sYCsuU+ELQNcouJcE4K/u/8SVwIfAYYHmG4334u9+/P3Oovl+OvizjJl17m9tBJpzNN6Pvc7D/nnGzFqPpXXu736iea3bzTZtbGxsbGxsYo5OHYNjY2NjY2NjY2OELXBsbGxsbGxsYg5b4NjY2NjY2NjEHLbAsbGxsbGxsYk5or6SsRBiInBcR8/DJurZAryuddKoeXfFz99j/9Fh458WYKGmaSUdPZFQEUL8Cjiqo+dhE/UUaZr2TlsGiPosKiHEoscf+vNp6WlpgQ9W2LdzZUjXO9CyI/hzEhpCutaOusaQzttcG9p5dQd7hnRebUVwnz2Ac0dTSNeq2dgc0nmN9Z7aUqmapumLgkU9QogJZ5x52ueXXH6h3+Nqm+osjVfXbPU4a/W2qhqtrfGqBmu/v/0NXQIeU1GbaG2sg10tHVdVbe3/TdUBa59dVbW142qrLHzGBw5YGkurOUDzruUkDvkl9SufE5ZOijKEEMuffnnBcfHx8WEfe1/d3rCPKdlSXR+xsdfvS4/Y2Fu21kRs7LKtZYEPCpHmjV8hEpNpLv6+q6ZpIX3JRr0FB+CMUyaQ1aNHUOfsLGoJ6VplzcH/AV3SxdqDTk+KM7TznCH+R3NWDgjpvKrSzKDPaa4PUYRtDk0YNbZ+JDVCiMGapm0JaaAOZPCQQZzz67P8HlPd6LQ0lrPJ4nGN1ZaOK6+zJoTKLYr24oPJgY9xJlkbqzLwWADley3+vymz9tk17LX2xdFQXmXhmqWWxqLGSXzGYBrWv0XikF9qTZs+jOuMVsszzzmDhITwf/3sqtkZ9jEl3S3+vkPh4K6siI29N82aeA5p7OatERs7Lj6H5l3fIrr1rxdC9NE0bXfQY0RiYjY2HcxmIUSne+jb2FhBJHWjy8jJaDXlxPUc0eJub2BjE1MIIUjoewKJA09BpPba1XXU1UE/022BYxOzCCE0IYS9xm1iDhGXQOIRZxGXMRiR1tsphDiso+dkYxMJ4roPoMtRv6Vx6+ckHna6JoSw7Jq1H/42sU6zECKjoydhYxMJEnJHkXj4rxCOXj93GfFb22ppE5OIrul0GXkFWm0FcT2PbBFCOKycZwscm0OBiR09ARubSBGXlkd87zE0bVvc0VOxsYkYIi6BhIET0JxlACdYOccWODYxj6Zpb3b0HGxsIoGmtdC45TNayovQnMXBZwPY2HQSWqpLaFi9kIRBE9E07RMr59gCxyam0TStU6bS2tgEQms8SOOaV0AIWvb/nKBp2v6OnpONTSRoLl1N40/voTlLj2hY86rlZ3qnSBO3sQmBHpqmVXT0JGxsIkFLdTGNG98hYcApNKx5xRbxNjGJ1tJE06aP0BoPolXvTtM0zVoNBze2BccmFom3xY1NrNJUspLGn95Hc5YOscWNTayi1VfRsPolRHIGLeVr44IVN9A5LDi1U6bfRZcugSufep1UFVqFxTqtMvhz4kIrKljVFFrV3oqm0K7X3Lg+pPMa64L77AEaq0JL6GioC+3eJJ3YJVX7v/cWsX2b/0raTS3WCiE2aRaPszheQ4u1tVrfbO33XtscuIptXZO1v7/qGq1VxK1vsLa26ussfiYN1o5rrLdwXL3Fop91TujiQKve7dA0LXKV5yJL7XW/vZG4uPD/fX2wKXJFzA9YrNIdCvtqg3/GWqXiQGhFV63QUBm5Jajt3+2u2P18yM/0ztCqIQ2YCrzWTpe8pB2v1d7Xi+V7O0fTtPntdK2IIISYDvyro+dhQnuvnWCJ5vmFc24twM7OWL1YIoTohqvvWqR+X5FaC5FcY/bYvpyladrjbRkg6gUOgBCiUNO0gli7Vntfz7636Caa7yGa5wbRPb9onltHEcnPJFJjd8Y5H+pj2zE4NjY2NjY2NjGHLXBsbGxsbGxsYo7OInCeidFrtff17HuLbqL5HqJ5bhDd84vmuXUUkfxMIjV2Z5zzIT12p4jBsbGxsbGxsbEJhs5iwbGxsbGxsbGxsUxUCxwhxGlCiJ+FEDVCiDfcKeORutZkIcQ2IYRTCPGlEOKISF1Ld918IUS9EKJXBK8xSAix2P05rhNCjI/UtdzXmyaE2OX+LBcLIYZG6DpfCSHGuN8LIcQ8IUSlEKJYCHFDJK4ZCdpznYeK+llHEx31/9YKQoipQogSIUSVEOJ9IURuR8+pownnWjf63QshBgshGoQQdcprQghjf6kb4/lwPGOEEH/SjVsnhGgUQlzh/h5Qt18Z5NiWnodCiIFCiKVCiFohxHIhxLAgx04RQrzoXtelQoj5QohE9777dfexKYhxTX93ocwZAE3TovIFZAD7gXPd798EHovQtYYATuAMIBmYAaxsh3uMB5YBGtArgtcpBGYBqcBkYHcEr3U8UAIMBLoCfwE+D/M1TgOecn9uY9zbrgF+BHoDI4C9wKhI/w7DcC/tts7D9VlHy6uj/t9anNuRwD73/wcHrlohL3f0vDr4MwnbWjf73QOnAq+EYa47ga66bWF/xgDHAmuAkcDXIY4R1PMQ+Ap4EEgHpgGrghz7fuBboA/QC/gGuNm971VgUohzNv3dBTNn9RXNFpyzgR80TXtbc5XdfwS4OELXOgX4QtO0DzVNqwXmAiOFED0idD3JbbgWSsQQQhwDZAEPaJpWo2naQuBCIYS18q/B04xr0coq2fG4Hmrh5CT3+Grp7suA2Zqm7dY0bQ2uL5SLwnzdSNCe6zwUjD7raKGj/t9a4WTgfU3TlmuuEvOvAPkdPKeOJpxr3fB3D4wC/FoNAiGESAKaNE2r1+0K6zNGCJEALASm4BIKoc7b8vNQCNEP12d0v6ZpVcCjwAA/VnajsScBczRN26VpWinwHPAL976BFu/DaFzDc0OYs4doFjhH4VLkkrVAjhDCEYFrvQ3cpPw8GjgIVEXgWgAIIQ4HrgJmRuoabkYDPwMLhRB7hRDfAw2apkWk7rimaYXAu8BPQB2uiqV3hfkaMzVNuxbXX8gS/XopAg4L53UjRHuu86Ax+ayjhXb/fxsEzwLXAQghMoHf4rLWHsqEc62b/e6zgTOEy0W+Q7iqgwfLAKCLEOIHIcR+IcR/hSuEINzPmBuA7ZqmLcH15X60EGKz2+0zV7p9AhHk83AksF6KN03TWoANZvdhMva1wMfKzwVAsfv9QOBp9+e2XAhxXBDjDsT4dxfUnFWiWeCkA57GUO6ba3JvDyuappVpmrYNQAhxHvAeMF3TLDb0CRIhRBwu1XuzFvl+Mlm41PVHQF/gBeBt918pYUcI8Qvg18AxQBrwIq6/XiON13oBqonAWokA7bbOY432/n8bDJqmNWqa1iCEuA6Xe+BcorcNR3sRtrVu9rsHGoHPcLkIzwRuEEL8NsjhM4B1uKwgA9xzflk/f9rwjHF/B9yOK3QAIBH4DjgBGANMAO4IZWw3ZnPVb1f3WULTtCJN06qFEKlCiMfh/9k77/AoqvWPf85usum9EBJSCL13QUFQEAuiAnpVUBG94rVX1Ov16sWuKHJt99p/Yr9iF0WRLiAivUoPSQghjYT0bDm/P2Y2TJbdzSbZTWM+z7NPsjNnzjkz+86Z77znPecwBXheFWRZwDyUrrH/AxYKISI9zRrnv12j69yaF9ssRulbBUAIYUKpr09WiRZCxKKIjiHAX6WU3/miHJXbgQNSyl98WIaW7VJKu8j4jxBiNtAD2OqDsiahxBpshtr1lUqEENFSSm93VWmpYy9AMD6yFS/TrHbe3mjm+7bBSCnfFkJ8hOLN+UYI0VFK6bvVD1s3XrV1D377YiHEa8BEGvCSJaX8DaUbxl7OLOAYSle7t9qYiUCelPIPtcw6ay4JIZ5FEUBPNzJ/V+2h43btPo8RQoxFeXndDgyWUmaru4Zpkr0hhLgDJQ7t5/rylFI+rK2/5rf7qLF1bs0enD9RlJydXsA+tb/VqwghQoDVKO6yns3QSJ4DTLVHiqvbMoQQl/igrAyUtwNAia5H+d29fh1VHJfztaDE5fiqPDuO9tIb3wg4b9Nsdt7eaIH71mOEEI8IIa4FUH/L/wLRnN6eOa/ZuqvfXgjxD1X42PEHGuQlF0JMEEKc55CHxUn9m9LG3IASZG0v8zYhhLbLpcH1dsBVXfcAvVQPkt2T1AMlINkjhBAXAF8CD0gpL7aLGyFEbyHETQ7JPT4PN79d4+vsSSRyS3yAGBTFfDaKy/AHYLaPyroZJWCtpc7VZ6Oo1GtXjNJvGoTSb70RdZJHH5R3NpCL0kUVBMxBCbb0RVkZnIzAvwVYg/IQGQ7kAd1a6jdtwDk0m51761q3lk9L37ce1G0HkA4Eoozy2drS9Wrha+I1W3f12wNLUMRkOMrooSw8GNXjkMe1KMGuPdV8PkDxAHmljQEEijAbpNn2DvCteo1SUcTIzAbm61F7iDKwZZbaPv8LWNHAvNcCM5yk6YwSNHyhmvdtwCHA5GG+Ln+7xtRZStl6BY56UpeoF6gMpT8vwEflvAbYUFS69pPaTOfp62HiZwB/oARfLgU6+/h8blAbiBKUgOMOPipHe3MYgddR+mazgGnN8dt56Tyaxc69da1by6el79t66uaHEouQq94Hi4CuLV2vlv54y9bd/fYo3SFlKIMrbm1k/k+qoiAfRdxEeauNUR/eFYBRsy0S+Fxtow8DswFDA/P1qD0EugO/o3jVV3lyvzjkXebkui9V9/1Fve6lwEqgTwPyTXH12zWmzlJKfakGHR0dHR0dnfZHa47B0dHR0dHR0dFpFLrA0dHR0dHR0Wl36AJHR0dHR0dHp92hCxwdHR0dHR2ddocucHR0dHR0dHTaHbrA0dHR0dHR0Wl36AJHR0dHR0dHp92hCxwdHR0dHR2ddocucHR0dHR0dHTaHbrA0dHR0dHR0Wl36AJHR0dHR0dHp92hCxwdHR0dHR2ddocucHR0dHR0dHTaHbrA0dHR0dHR0Wl36AJHR0dHR0dHp92hCxwdHR0dHR2ddkebEjhCiLuFEFc52aRf1McAACAASURBVJ4mhKhS/39PCNHFTR4XCSF2CyEqhBAbhRAjfFTX6UKIHzxIV1v3toIQQgohElq6Hu0VV3bukOYbIUSki33nCCH+9E3t3OPLsoUQs4UQb/gibzdlurw/W/I6txe0ti6E+FIIUSmEGCKE+NrL5awQQlztzTx9TVusc2ujzQgcIUQ4MB34op6kLwNz3OTxP+B5IAaYB3wlhAj0YlUBkFJ+IKW82EkdjN4uy5sIBa/aRWs/59ZEA+z8/4DHfF8j39Oa7KM11aW948TWpwADpZQbgQwhxKUtVrk2iC/a7kbWo9XcQy1+MRrATOAbKaUVQAgxUwhxTAhRCNxqTySl3AokCyH6OMnjTOCwlPJ9KWWllPIjwAb0Vt8OPxNCLFO9O+8JIe4QQmQLIQ4JIcY5q5QQYqIQYo/65rFVCHGuun2GEOIn9f8VQoinhBCHgCscstgBBAghytS0aUKIX4QQpUKI34UQAzT5LRFCLFDr96MQYqoQYr8QIkcIca0m3SIhxCdCiDK17BR1n1EI8awQ4qh6zF2a85BCiPuAYiBeCDFCCLFZPa+9Qogr1XQ71EOyhRAdhBAZWi+Y/bt6HrlCiKeAfHXfQCHEOrVevwghUt3/5KcljnY+TgixTb1mnwshotV0C4HJQogYF/n4CSFeE0IUCcVTOdC+QwjxgBDisBAiTwjxil3gO74xar+r9nGbEOKAaj9/06R7TAhRLIQ4AkzWbA8SQnwqhDghhCgUQrwlhPBX92UIIf4hhDgG/FMIka05LlQIUS3ce2K7CSFWq/dCphDiTnX7c0KIjzTpzhdCZKr/O7U/9d5/XwixGnjVRXmPqud4VAgxWQjRAVgK9NDcEzoNo9bWhRD71W071d/9HeBRZwcJhX+qbVi+EOJfmn1ObVuzv45HTtT1/jekjf1OCPGRen9tcmarql2OUf+fqzlH1Da1vxAiTijtdZnaXj6t7n8dGAN8LIS4UjSg7dZs7y6EsAohYjXbtgghrvDg3nxQ/ZsrhLhXc/xQoTyXTgghVgr1Oatek4VCiO+Ab53+2i2BlLJNfIC1wEj1/64oP+YoIBL4HqjSpH0e+IeTPKKAHprvKUAVkAjMBiqAEUAyUA78CIQDNwMbXNQrD7gA8APuAjaq22cAP6n/rwC2AclOjk+z1x1FcG4DbgFCgNuAg5r8bMBlQDRwGNiIYtAXAAUO6SYDASgerZ/VfbOAn1G8V32BbGCMuk8CHwKh6vc/UBogP2ASUKipswQS1P8zgBGafRnqNUxT6/EcEKiezxHgUiAUeAZY3tJ21do+DnbeCTgGnKXa+Xzg/zRp/wdMc5LHOepvdD8QDPwD+FO1r6nAbiAd6AAsBp7W2OnVmnxqv6v5faHeD5eh3DcBwLmqHfUBElS7+VM95nY1/zC1rL3AJRo7WaLasgnlfh6g7psEbHVyXrOBN9T/FwBPqMcOAcxABDAcKAAMarp/q/eAS/tT8y1Vr7Nwcn9K4BU1j78B+zXX+c+Wtpm2+tHausbGEjTfc4FEJ8ddA2xRbSoN5QVqpCe2jaa91fy+9vZ3Bg1rY6ei3F+fobkvNXnPBx5S/1+D8kyJVz95gABeAN5HaSO7AEVAPyf3n8dtt0MdtgLXqv+nqHYeRP335gqU52UflPvpTDVtHnAVJ59PB1DagRmAFeXeNbS0bdWef0tXwMMbwYDSgEWq3x8B3tHsH+ZgtNcAC+vJcwxwCHhR/T4b5W3Cvn8vcKn6f18gx0keAhik/k0E7gQyNDeBVuDc4qIeaZy8wYYDOx32ZwAD1Py2aLYvBu5S/w9VjdykptukSRejGp4J5eYfptk3G5inuUl6avYNQBE3cSiuY6nZ1xCBE6xuvwr4QZPOBFQCUS1tX63l48TOHwJed7CV45rvjwCvOcnnHK29Av4oDVtX4CfgRs2+kZwUJCtwL3D6qv8bAQuKAHsb+KfmmL9o8ktCaTyDUe6hbcAMjZ1cqDnuE9SXEjXPfzk5r9mcFDg91XyjUF50atTrI1Aa/7PUdPtQ7nWX9qfm+5mb+1MC0Zpzsmiusy5wvGDrGhvTCpxfgCucHPsTcL3m+ziUB3G9tk39AsfTNnaDJt0MYImTel4PfI1y/x1GEUKXobSnn6tp0lUbDAMGo4i6c7R1Vv/3uO12qMOjwKfq/3cCn2js2N29eakmj1eBp9Trt8oh/30o7f0MYF1L25Xjx4+2QQzKDVGifu8EZGr25zikL0IRHKcghAhGeaObAjwopXxXs/uY5n8bcELz3VV33vXAd2p9sl2kAeUNtT5SgZ6iblCjEeXNuL76aeuYpdlWpP6NVfP/VQhh3yeAL13U8UIUz1gusNODujvWAaBGSlmh/p8KXODk3DoAxxuQf3vG0c5TgZlCiL9q0vgJIQKllFUov+0QF3kdtf8jpTQLIfLV/FOB/Zp0+Wjc2g442nyBmp9VCGFBEcCdgF81abT3YkcUsRKM2hXrkJ/W3r4G7kbxrFykftxxBrBIzWMDii0jpZRCiG+BCeo5RwCrUbxZruzPsS6O1Egp7feRVT1Op2k42rozXLXjKcBB+xcp5VIAtcvRU9u242jjnraxBZptVeD0WboUeBblJXgTih2ehSJ4lqppuqN4GS0o3hZxajZAw9puLQuAtUKJi7kUeE3dXt+9qX2G5KPc547X177Pfo09ecY1K20lBsduPPZf9xiKkdtJqZsciWKcdVB/5EUoP25PB3FjP64hnAdcouY1EiXwsynkobwZBNo/KA35qgbWL1nzfyeURrlQzX+QJu8uwN8dDxZCdEPp1hgqpTwDpcvPFTZUO1Kvr6uYkDzgS03ZQShv3ns9PKfTAUc7zwNe0lyzCGC4Km7AhZ2rdLT/I4QwoTzIszjZWNnphvLGBprfUqW+hwO4vxdfBt6UUvaQUl6OeyG7CBgkhBiL8ka93VVC9SXlbWCClHIQijDS1vsb4GL1851U4pmaYn8NbRd06sfR1p3hyr4LOSlMEUJcJ5Q4QHe2bcfmUKajjXvtt5ZSZgNlKJ6PtSgvAmeh2N0yNdm7wD1Syr5SymtwfT971HY7qcOfKC8dFwEDUbxcUP+9qX2GpKK86Na5vkIJaE7n1GvcamgrAicfRSVHqd+/BC4XQpwplKGyjzikj6KuErczDqXhnyKlzPdCvfxQbpZAIURX4EGUN+yGXFeLekwksA4lwHeiECJACHENSjCptYH1GiCEuFAIEYLiWvxJSlkNfA78XShBnN1R3iL6uzmvYCFEJ+BfAEIIu8q3oniEQPFaDVX/vxrljcAZi4DRQglADkTpfvmPlNLVDX064szOrxZC9FJ/y7nAw5r0ruwcoKMQ4lb1N3sARTjnoLzRPSCESFYDZf8OfKAeU/tbCiFGobxd1scXwM1qHROA+zT7/IAgIUSIEOJ6lAbW5CwTKWUZsBx4ibpvps4wqp9gIUQcitcHTr6FrkBplG/Q5OUL+7MA4fbgTJ0G4WjrznBl318B9wghYoUQ/VBsphj3tq0tFyGEvd27sfGn4BHLgL+iCJztKN3EsVLKfep+PxQ7jhBCPIgiuOx2bOFkO+tp2+2MBSjX6Ef1OWAv1929eZsQIlwIMRyl2/lblJjU4UKIS9SXjPuAXCnlNo+vRjPTJgSOlNICrAf6qd+3o7icvwD2oARfaemLIhYc6Y9iYBVCCIvmM6aRVVuMYriZKA3pMyixAE6HqbvgKIr7MkN9M5+M0m96HOUcJ0spaxpYr3Uob7V5KILOPuJltlq/TGAl8L6UcqHjwVLK3cCbKDfkClQ3J2AfnfIdsFF9uMxCecBtR4lJcDqiREp5DLgWZXREEcobhT7HgwYXdv53FJGbh/LQvk1ziCs7ByU48myUhn8ySqA8wH9Rgns3oNw72znptn4cRQTsBO7l5FumuzovRLGVVWpdPtfsfgjFDnNQ4uQeAl4WQrh6qH2NEvv1uYv99jJLUexuCbBZPY/PUO1TSmkGfkB521yibvOF/e1AieP5A0Aoo22mNzHP0wJHW3eBK/t+jZO/+0LgAdVT4c627eVWosSifCWE2IwSG+NLlqIEEG9QxfRm6nbp3qnWez/Ky+ELKAHDoAiKuUKIKXjYdrtgAYo3qyH35m4U7+Y3wP1Syo1SylwUsfMcyj00BZjmYR1aBKEGCrV6hBCzgAgppdOhgw5p1wI3SylPu+GbQogZKIFpF7Z0XXQajqd2rnoJ9wBnSikL3KVtKwghzgTek1L28kJeDwMpUspb602s0yK4s3UhRA/gIynlsOav2emNECID5Rni6uWpzdAmPDgq7wAThRBuA6NVl2Xh6ShudNoFHtk5MAGl67G9iJswlC6lJsWxqfOFRKEM4W1qTJyOb3Fn6zNRPAU6Oo2mzQgcKWUxiiu8Prfy3SjuNh2dNkcD7Hwmyjww7YUNKN1TbzYxn0SUbt8/pJTrm1wrHZ/hytaFEBFAHyllfbFYOjpuaTNdVDo6Ojo6Ojo6ntJmPDg6Ojo6Ojo6Op7SJib6S40OkZnHK+pPqKPjnMNSyrSWrkR9pIaHyszS8pauhk7bpk3YekB8R1mTn9vS1dBpu3hk522ii0oIIatenFxn2/ZPLbX/59ZUcP2RzRQUFKCZ6VFHBwAhBFLKVm8YQghZfvu1btP8tdDC2LFjmTlzZjPVSqct0ZZsPfnfK2q/Gw/WnQS3Jv8QeT8+T6fr32jmmrV9rOmRLVp+QqLvJ/r+48qzPbLzNttF1W/qSefT8uO5DB48WBc3Ou2a0hozy5cvZ+DAgfUn1tFpw5QfWIcpLr2lq9EmMR4sPkUwNie5OQ2dl9Z3tFmBo/XgLD2ew4MPPtiCtdHR8Q5Bo1yvjrA65xh9+/Zl2DB9ahCdto+zN31jZgnGzBIqdv9KVNL5LVArHW+Qm2Ot/bQkbSIGxxGtuAHIqamkZ8+eLVQbHR3vEjQqnsrVeadsP1RSRo/+Z7RAjXR0vI/94Wf3NhgzT667aakowBTWEUOmu7U4wZoS4bsKtnGMB4tbvLsKTv7OzdF15UibETiOokZLqNGPoqIikpOTXabR0WlLOBM5EQEmioqKXByho9O2cPcANvgHY60px+AX6D6PRgogZ8fpYsm3tITQaTMCxxUWaaPSZuX4cXcLFfuG//73vyxZsoQ777yTc845BwAppR4LpNNo5MhBtf8HsRmgVugcyPSn2L/5+9YzMzO599576dGjB7Nnz8ZkUtbk021dpym4Eic2aw3SasZmLgdifFKGMwyHiynev4iq6iwiBk8iIEFZa7Yt27ndO9YaPDl2tN1WvhY7bSYGp9zq3IOzs7yYsNROnHXWWc1WF7PZzOOPP84z984idf0eJkyYQGVlJZs2bSI5OZmlS5c2W1102hfvPum4+PFJFuftY8aMGc1XGWDbtm2ce/Yweifb+OWXX5g3bx4Wi4Ubb7yRCRMmNGtddNoX0mqujbnRCpHK/F34BcdiCu/UbHWxWWso3PEZZVlrCPRP5NjXj2M4fJyaTevJfmsG5q1bTqlnW8IeeNySwcfO0MbqeBq305C4njYjcO7bv54Sy6mLaheZq0lOTq59q/Q1a9euZeDAgfz00uvMThvEgcoTjB8/nqCgIF555RUSExN5+OGHWb9+PYcOHWqWOum0H/7x9Wa+nvc5Ys3mU/aVxYfQpUuXZqlHWVkZ99xzD+PHnc0Dt17MOWf2YtOmTVx66aXs37+fr7/+mn379jF//nw2btxIdXV1s9RLp/2Qu/5VbJaqU7Zbq0/gHxKPsp6s76nI20nW0n9gqcgjbuCNVJccJiRhEEIYKN6/CL+gaIp2fU7V8QOYKwrriLK2KHhao9BxxJXwaWjQstcsSAjxqxBihOb7BUKIfUKIciHE5+piegghDEKIT4QQhUKI+z3N/5ybr+fOmkw6fvvfOtuXFx9lzJgx3jqNOmRlZfHTTz9xwQUXMGLECC666CL+8pe/ML0qiFe6DueJjC1kJscwceJEHnvsMZYvX87o0aPp3r07d9xxB8OGDePVV1/1Sd10Wg5f2vrPP//M3Z9v4j+F6Yir59Zu31VYTElJCT169PD6+VitVlauXMlzzz1Hv379mDBhAn379qXg5+/ZsfQ5/A5lc+G1L3DXXXexceNG/v73v1NVVcVzzz3HG2+8wbXXXsvo0aPJzdUnbmtP+LpNNwZGkLP6WazVpXW2l+dsICjG+3YOYC7Pp/zYVo78+jRHVj1Jzpo55G9+l9j+19HhjLs4um4elsoiAmN7Urjzc6qLDxGcMACDXzAFWz8ke8VjlGaurnseDoLHmehpjUKotXp1vEmTJ/oTQlwATAb+BpwppVynruZ7ALgRWAm8BRyRUt6jpj8DmAt8jrIse1k9ZUiz2Yy/vz8zErpye1Kv2n0L8jJYlRTC2rVrvdpPunDhQm688UYGDRpERN5ObhzemaKKGsZ2iyP7W0UXLjt+lIcObiDOP5DzoxMZF5lIn5BIDGo9jlRXcO/+37n7uae4++67AaU/9/jx4xgMBiIjT/aLSinJyMjgxIkTlJaWUlFRgcVioaSkBIPBwPr169myZQv33XcfF198sdfO83TAW5Of+drWhRBSSsmTTz7JY489xolbp2E0KLa2ZVsYk9d/yP9++r423ssbFBcXM23aNA4fPkxaWhpRW2B4jJFw/0D+cmYAQaPiqbFY6XL3uxwpKmPi4HQuP6Mblw7pQlSoEgAqpeSJL9fxwaZcdu3aRWCgsr26uprCwkI6duxY594sLi7m6NGjlJaWUlZWRnV1NVarlYMHDxIXF8eXX35JQEAAH3/8sdfO83TBG7beXG1654vf4NAPtxDT7xoiu5wcEn58z3dUFe2j45keayWPKNu6jPysLwgITsYYHk3IsIuwRFgJCeyBf67SO3AiYyX5W97DLziW0E4jCE0cirHfAIQQGDNLqCnN4ehvLxHdcxJhKaMAxf5tNWUIgx8G/6Da8qS0UR1Rhc1cicgqwBrjj7RZsVWXYThuprpwL9U1uUSecRUhtuRWF+TcmuJ2HMm65xyP7NwbQcaj1Hy0Bn0psElK+Q2AEOI54AfgHkAARvUYAXiksPz8/Bg6dCimIyeAkxP92T5JZcGWFSxatMhrMQFZWVlMnz6dufF96FcYAMbB9Ot28lJFTVVGdSUGKMY8OTaVmYnda/f3m+rH9k8tJAUEc1en3jz8wP28+OKLSCnJz88nKCgIPz8/3nrrLaZMmQLA//73P6ZOnUr//v0JDQ3FZrOxbt06AEwmEwEBAQwZMoQNGzboAqflaBZbP//883nsscewSMnBXUqQZYgf3N75TGbPns2yZcswGLzjfL3zzjsJ2HKY+d3H4l9pZENsJENjlDe6fbugG3kEjYonJSaMI0VlfPfApDrH2wOgH0zowoKS3XTu3Bl/f3/KysooKysjODiYsWPH8v777xMeHk5VVRV9+/alurqatLQ0QkNDWbFiRZ0833jjDW655RZd4LQczWLnwi8Qv5BT532K7DaBw788QFXRfoLK4wCQyZ49/EWWc09JdWUOBVlfkdTtDgKCk5DJEViTI7CmRyIBq6kYY2YJ/uVKmx7Z5UIiuoyvIzqsKRGYMiG612Tyt8yncPeXYABr5QkMRhPC4Ef8kJsJju8HwImM5RRs/QD/2DQM/kHIPdXU5B8EwOAfgjD64xcYhXnfbuiS3OpGdnni2WnNIgi8IHCklI8CCCHO02zuD2iDCHYAHYQQocBi4AbgEPCElNLjxXcSEhKIOFbFyuJclq2s5O4x3RgwzZ9X9w7ghhtuYNGiRQwePLipp8SaNWsYIAPoFxpVu80+TN0urCzSxktZO0lJSeGPonxukF0ZNO1kHJA9XV+ZyGUnorHYlHs+NsTEgS+V4Og7p17L/YkdSE5OZudvv/NCl6HcOT2Z7Z9aqLJZuMoUzNQ7b2Xu3LkkJCSQk5NDRETrUvmnE81l62azmd69e7N5ewjzDizmnvSRxAaE0MF/ODkbPuD222/n9ddf94rIWbVqFa+mnIO/QRnNMDSmmG69C+uk+XbDfo4cV551q/88wqieSXX271NF2LLLL6CkugarlAT7+xETGIDZZuPBXzeQlJRE7969yT24m+HpHfjkzisw+SllzkuWvLU+l2HDhvHRRx+xbNkyOnTo0ORz02kczWXnhuwT+BGCX6mB0ux12MyVhI5RBHRs32nkrn+VpC63Ywrs4FK4gCJ+3O0HqCo7QHBEHwKCFdsVWSU4jt+xWWsoyP4GP1MUFZmbCU8fB5x8iBsPFmNNiSAo+SKS+p+BXccZgiIw+Jmo2fQ7xzb8F2E04RcQgbkinw6THicoZYBSwP4jZC39B2GpZ1O8dyH+gYlYa0ox+Ae7rLdd9LQ2744drQhqjWLHV8PEw4HD9i9SymohhAUIV12XV9WXgRDiZuBm7bZZs2Zx0003sX//DjgAPePDOL9nB87rHs9rEyxceOGFfPHFF4wePdppnr/88guHDh1i8ODBDBkyxGWX1saNG+kd7PzHsgudvRUnyA4ykr1vH93Do9lQWsAgEp2mBf/abfbbsE9IJF/2HUtOdQVZR8t5ou9YQo3+tccEGvx4vssQ3nj7Qzr4B1JQUMA111zT7KNodOqlSbbuzM5HjBjBoEGDuOyzDyiz1pBVbuWvKZMJNhq5K20aL3/wMTdUVPDOO+/g7+9/Sp6FhYV8+umnxMbGMmnSpNouI0cKCgooysklRdMwOYobgH9/tp7HnpuHlJJHZz/Kj5POq7PffkzQqCTs7+Ny5KDaQOk3//EYzxaXsXtfDgGmixk6QJ2CX91/94WDyS5cxao1iwkLC2Pnzp2899577i6bTvPjkzY9quP55GcuwJKhzO8UEN4Jw+XnYUq/gpgPqjmy8zU6dr6JwJBUp3mWF2/HUlBKYHAqpqBEl216dXkWgSF150lzFDmVf25G2mpI6fNPDu94nOriDPxTlZdcx8kI/fA/RXQExfYk9fy5mMvzMFfkExTTE5kSf/I4Uygdht3O8b0LMQZGYqkoJCx1NCEdh9Z36Vq90IHWKXa8ttimECIDpe91nRDiBaBGSvmIus8EVAPBUsrKRuQt7fWsrKzkn//8J507d+aVV14hLsLCW+O60jUulJX78/jbT0eYP39+rciRUrJ27Vo++ugjvnr3feL8A9lZUUyAMHDZX67g+eefJy0tDQCLxcKsWbN459XX+WfaAM6LSjylLvbuJ5uUTN21kkde/zf33HMP+x4cTWSQ4sFxNylhY8moKuWJjK2cec1fePPNN72ef3vG2wsQ+srWtXYO8PXXX5Odnc2qVatYvnw555mGcl7scMzSwv9yfiZubGc+//zz2kY9Pz+fBQsW8Pi9j5Ic1IGNJbsB6NWrF7NmzeLGG2+szXvNmjXccsst2A7n8cnQqbXbnQmcT/Yc5I0Nhxl61UTkz5u5rfOZddJrl5ewz+Mjk9wP8RVHspW/mtFilavzMFtt/Kc4k7kLN7B511598s4G4k1b93Wb3nXIKwBYrZUU5SzC3xRFcd5K/CMSiLxtNn5R8Zg/+5b8LfPp2PmvBAYrtiClpLJsH6WF66ksPYDBGEBNZQ7CYCI0cgAxnS7Fz18RAtJmJj9zAaXHN9Gxy00Eh9ed8d7e9SWySpDSyuEdTxCTOJH8rC9Im/Aq5nFdATCtOExD0YoRZ91P1cWHydv8DsHx/Yjpc2WT8m+t+EroeBqD4yuB81fgUinlZeq+AcACKWV3d3m4yVs6q6fVauXVV1/lv888yraHxgPwwrI9PPrjLjpFBvHA48+xcOFCDm1eyzhTJ/yEYElRDsmBIUzv0JW1J/L4Kv8wXyxdzLBhw5g6dSq5y9bwr7SBxPo7f+u1CxyAlcW5vJS1k6vPSuLFj++i5tNlPhE3drKqyrl171pyaxrcnpzW+FjgeM3WXdk5wP79+5k4cSLnVQ1kUERPzDYLt+54mgCDP3+741aCg4N57YWX6RPWlb5hXVh3fDsnLGWMjTmD+IAYPjyykKtuuYZnn32WFStWMH36dK4MGcuNaR3w03R1aQXOvl0xdOtdyK4dkfxty1cU1cDMlMvpEBBd25XVGHEDzgUOKCInaFQ8f5n3PRMj4pmxeLWzw3Vc4EOB4/U23S5wtEhp5fjRxZRX7aXjdXOxpkdS+vocivf9iH9AHBHxoyk7vhmbpZKwmKHYrDWUl+wgICiRiA7nUla0ibLjm0lIvwFTYAeOHngbgzGI+JQrMfqHUViyB4CYCGWUllbgAJQW/kFhzo+EpY8h9Ja7AEXcuOoCcxcbZBcg7kZQVR0/SP7m90ge+1Q9V8w9p5vYaWmBEwPsAy5D6av9CPhDSjm7kXm7bPhXr17N2WefzaZZ4+gcE0KN2UpmcSW/Hixgx9ETDE2J4ooBSbz2djYvZ+/k++VL+fXXX5k3+wne6zGKfZUnWGLK5Kc/8xgX2ZEn0gbh7yK2wR5XoxUx2lXNfSluQHlzGb/1ZyL9TIy75iqeffZZ4uNdL86oo+BjgeM1W3dn5wCjRo2CXeVMS5qAVVqpslZztLqATSW7CTEGcVbUACTwwZHvueCGS5k0aRLXT5zGsIg+jIkewoLcJWyu2kNwcDAzIy/j6pQwj+u2ofBk42QPQj7ZNVVX5HgicOCkyKn9vubkzM0vbtzBa1v/pFNoMI+/+z4TJ05ss7PJNic+FDheb9OdCRxQup2OHnyPlN4PY+ycgrSasVQWUpm/E3N5HoHRXQmxdqWsaANFR3+iY5ebKC/ZSWnRRjr1vIfK0v2UFv5OxYk9hMeOIC7lKopO7KtThiuBY98WPS2d3Bwr7sSN9vjGYrPWkPHj7fgFxRAU14foXlMwmkKalKed9ix6WlTgqN8vAV4B4oAFwC1SykbNBuau4ZdSMnfuXJ566ilKSkoIDAxkxIgRTIo6zi0jlb7+3v9cQpDByPxVSxgyZAgAffv2JfvPvRx7fiIAmz6ucSlsMO7AOQAAIABJREFU7DiKmeYUN3aOVldQbrPwfUEWP1tLmDVrFrNmzcLPr82vuuEzfClw1O9esfX6BM7OnTu57777WLx4MQCdOnUiuSyayQnjOL+jjcV5+3h41088/uQTPPjgg/j7+7Nx40aGDh3KrPTp9AztjE1KJBKjMNQKFU+wCxxnQch2gkbFN0jgQF2RoxU4lRYL+4pLyS4t55G1m0gZegYvv/wyvXv39jjv0xFfCRz1u1fbdFcCR0obx4/+TNHRRWpafwJD0wntejbhqWdDZjEZ2x7FFJRAbPLlBAR1BODA5gcwBcSR3PtBJR+bBWFQ2kW758aOVuBYUyLqeFlqzlHifeoTN7X1baLIMZcfw2ap5sShZZTlbCCqx6VEpJ/XbBMd2mkLgshOxiuTmlfg+JL6Gn5QZl5dunQp48ePZ/ny5cocNtGCS/t25Mslx/A3GFhUkFX7Fnjfffdh3PoDT03oA7gXKPZuKa2g0dIc4kbbNWYns6qMpw9vo8/kCbz//vteGzrc3vC2wPEVntg5wNKlS+nTpw8FBQXMmzePVZ/9QpCfmfu6jOL2bQv5fcsf9O3bF4CjR4+S3imNub1nEWA4NSDZTn1iZ0Nh5CmeG3sXlh27J6exXhytwNFittp4e8de5mzcwZJ1v9O/f3+P8j4daUu27krg2LFaKqgqP0RQaBcqSveSl/EJASEpRMSeSUn+GkyBHYhNvqK2TT+W8TGmwA5EJZx3Sl5agRMT0aN25JVMjqgVNHaMB5Uh456IGzueipx643JOZJO/6R0Co7sS0++aFvVatmbBc9oJHEdWrlzJPffcQ87+3Uzun8ibaw+RnZ1NUpIyTHDnzp2cc845fDW1D2ekRnssYPpN9cM0dSw1ny47ZV9LUGWzcNe+37ngjpt59tlnW7QurZW21Og31M7LysqYN28ejz32GJd2GMN3x1by8MMP88wzz9SmmTx5MgUrDzO900QMLt4KHQWO1mNTH65EjiPORI8zgQOnihyAL/Zl8NDqjWw5eEgfRu6CtmTr9QkcR8pLdpOf+TnC4EdgcDKlRRvoPPB5jEZl7prKskPkHniXxG63EhCcRGHJnjqeGleCxTIyhWGTosgoMJC/uhC/NZmNOidPRI4ncTnWmnJy1jxPaKfhRHVrPXOetSbB46nAabev/GPGjOG3337jvEsvx2/QBI4cOVIrbgD69OnD/PnzuennoxwsrDttg2nq2Hrz9yRNcxBo8OOuTr35dN6r7N+/v6Wro9PMhIaG8uijj/LRRx8ROi6JTz75hKeffrpOmg8//JCulw3gq9xldbZvKjKwqch9E7ChMLJO/I0z7PPgwElhItZsrvOpev5nDJ9/j+Hz7xFHsk8RNo7Bxtq4HjtXdEujW2QYH14xEbPZ7LZOOu2PkIheJPd+kICgJAx+IXQe8GytuAEICu1MbPIUjh58j/zCTbXb7V4ay8gUZHJEk7uUnFFfntaUCI/EDYDRFEJM7ysoP/IH5ooCr9WxqbTFtbfarcABCAwM5OOPP+a1114jMfHUId8TJkzg5ptv5r6vt57ivXEmYOxpCqK9EwTWGPpN9Tulrp0CQkgODGFYrz588cUXLVQznZbkmmuu4eOPP2bq1KmnuLVDQ0N54YUXWHd8G1mVxwBqhc3gaNspeTkLKG4IlavzTvlot9vFjF3kOPP2uOKS9BT+b9d+LuqSSlmZ29UAdNohRmMQCekziEu+HKNf3Xa4sGQPNcYQ/IJTqCxYW7vdmhJBQqKRuFExWFMiTgkotqZH0iuihrTYU++FlsIUloTBFEr2itlUHNvW0tWpQ1taaPS0j0y99tprefrpp5FSetTf6S3PTX0Byq66y5wR6WdiXtfh7Kko4bZp15Gbm8vtt99ud1dTXFzMsWPHMJlMdO7cWR+NchoSGxvLpGsv5+Av2SQHue7ecSZutIHFdm+NNiZHu91VALIjYs3mWmHjbOV0V9w+oCd/69edu1b8zpguqfywdScJCQkA1NTUcOzYMYqKiujevTtBQUH15KbTXtDG2JjCelCWs9BlWm13lV38gHc8go4By/WlceXV8QuOIfGsWVQV7iN3/StE97mKsOSRtW26zVyOtfoEwmjCPzjWK3VvDG672lpBl9ZpL3CioqKoqakht7SajuGu576BuuKmsXPeOBMu2gBiT4WNs6DjHsERvN1jJA88+Ah/v/te0gJDsSHZW3GCpIBgKm1WBDD+ysu58MILmThxYp0FP3XaN8nJyfxWrUz+Nzjadkr3lKeeG3s6Z3E62u4qO46ix+7RCWKz0+1anAknP4OB188dwbN/bCc9uRMdg4PoGhnOsuyjxAUFEhkZRGZBKYM7xzP2qpuYNGkSAwYM0IV9K8PVyKamYvALwWYpRdqU9lF5CNe1S3uXUtyomFrPzbptElMjvBL2kVh2PBU5oAyTti8B4eyYwJhuJI56mNzfX6Fw28f4hyciLVXUlOXiHxyLzVyBMJgIiu1JcEJ/guP711nwsyXRnk9LiZ12G2TsKV9//TVP3XUjq+86B4NBaQDtQsYeSGzfZu+aii0q96rAaQqu6nDCUsOhqjIyq8oZHdmBCD8TUkqyqyvYUFrAryXH2FRaSP/QKN5cvZR+/fp5tV6tibYUeOnL+zEhIIZrki6md5gyfcKmIgODo211BIqjZwZOnfyvvpgcO9p8HD1AjqLHmTByVQctFpuNgyWl7C4qISrQxOikBIJGxVNWVcPyr3axLOso3+XkQJWVWx55lFmzZrXr0YZtydajut5+yvbGiBxHoVR9Yhc1pfsIS7qsdsRUzTmpJCQayV9diDGzRImJSY9kRH9Br4gaFh0IbHSAsWP8jbtYG3u5AAmJRnJzrEpah6UgnGGtLqWm9AjmigJCOw5RFvCUEnPZUSoLdlN+dDNVRfsIiu1FTN+rMYUmNPhcWgv1CSJPg4xPew9Onz59yCurxpOXO7uwqaFxo6ecdUs1VfA48+QAhPuZGBAazYDQ6NptQgiSA5V4nclxqZRbLfxUlM3owUN58+MPufLKhk8XrtN2OHPCaEo3ul8HsT5x01gch5S78/TYA4wrV+edcpx2v53uqw10jzrZIFauzsMInJeSyHkpibw08kLWfbOHB/79Ir/++isffvih7rlspTgO525IejtGUzTS6ny2d7u4sIsbgP/71R/jwUKPY0ocZ0O2Yx92bhdQrjAeLD5F5Ng9Oe4wBoQRFNATrX9GCIEpLBFTWCIRncdhrSmnNPNXjqx6ivjBMwlJGODRObU2vBXfc9oLnG7dulHtH0pWcSUpUc5XdbV7b2KLylt8WLg3CTH6cXlcGn1Dorj3uhls27aNp55q2pThOq2XUaNGcTDxIKirHzgLMNbizGviqffGGZ4IJO0w88CR0A8lRsdZ95XjMXYc01atyWdgXDQ/XHYef1+zkTPOOIOffvqJ9PT0hp+ETrPhTuw4EzZ2jAFxWM0lSKvzOQit6ZEkJBrpFVHFogOBmFYcbNCcN85wdrw7T47xYDG5nHovedK95Q6jKYTIrhcSEJXOsT9ep6bLBUR1m9Do/No6p73AKSgooKa0mLjQALfp7N6bpuJqmYeGHutNegRHML/X2Vz9/It07dqVadOmYTKZfFKWTsuxZ88eihdmQFxc7TZXsTbe8tw0hH27YuhG3kmRY583Z+Sp8TruCBoV71QQmYxGXhp9Bo+v28Kdd97J3Llz6dmzp5McdFob7gSNIzZLGcLgD+rElicDietS2y3lZXHjLL7GGc48NlpxY/cINYagmO50GjObrGWP4B8cS0jHIQjDqdegvdN+O6M9JC8vD4OAb7fnAM7jb+zfPREY9mHczoZztzZxo61DpF8AD6b045nb7ub555/3elk6Lc+Wz9eyueRPzDb3tqSNl9GKG0fvjX0eHW/MpeNtnM2jY+eugb2IPbSH0YMHUV7uvstOp+0hrZUgbZgrDtcOA0+LtdXGuwC13xvjLfGk68zdGkvaYdaOHzt20dQUz5JfUBSx/a6haPdXnMho+st5W+S0FzgpKSnEJKViMjbtUjgTNN6iseLGk/po04yN6sgz6UN49dVXsVjaT1ecjsK02TdhlTaM9axx48xj0xiB0lRh4zghoHZOHU9wJXKiAgP479gzObNjHB9//HGj66fTNLw1asoRg38EGPyJCO3s0nuTUWDAeLC40QLCXvfCkj2neJeMmSXKcg8eeGi0H18QljKS+MEzKd7/M21hQJG3Oe0Fzv3338/IaDNTBiQ5neNGuyyDMxorbJorlsdd3ZzVIS0wlJSUFH799VdfVkunmdm1axePznqEm1Mur12uwd1QcHeeGzuDo221H1cMjSmu/TjDWd7ayQCh/hgcd7jz5FzZLY0vv/yyUfnqeIeYiB51Pk1FSklF3kpMoV0JDlfyczaBn300VVNxrLddrDiNu3HiodHiOAGht2ZdDohSYs1qShq3BEVb5rQVOMuWLeOOO+7g5y8+5oVLTx0ibZo61iNx0xS2f2rxitCprx6uusxcHTdlyhS++uqrJtdLp+UpKSnhmWee4bzBY5icMJa4gCjA8xmKm+KBacwsyFph5WwJB3A+X05jGJ+SyG+//cbx48e9kp9O02mK0DGXZ1CRvxxrTRFJna+r7Z6yY/fkNGYxzYbiSuR4cpzX6yIEIYlDKT+60et5t3ZOS4GTmZnJlVdeScKh5Xw/8yzCA/1rvTfaZRgcxY27+BpXeKPbytOupoZ0SblL2/2TX/j666+x2VrP1OU6jeP+++/nf8/NZ2L8aEZHD3aaprnjY+orf9+uGKdLPWjxRldVqMmfMbERLFzoetZbnZahoULHWlNEed4yjP5RhCZejEiNre2e6hVRQ0aB8qhrDnHjjPq8Nw3Bvq6Vdn2r+ghNHEpZzoYmldsWOS0FztatW+kTKXhgbA96xIfV2RdbpAQdemPElCd4Yx4cx+9asePMS+TqGDtpgWGYCkt46aWXKCoqalL9dFoOi8XCTx9/z8QOoxke1a/OTL72+BhnE/tp0zQFxxgcd/k5Ezn14Q1PzqXpKbz6wH2sX7++yXnpeB9Pu68sVXn4BXYkMGoQ8bFnANQGF+8uMZGbY63tlmoOcWPvWtIGD/sq1sYTwRMQlY7NXE7JoeXYzM7nCGqPnHYC5/jx40yZdBm9OoS5TONtceNKxDRF3PgiqFmb3yOpA/jyyTnMnDnTq2XoNB933303ZZYKgo3OlyAB191I3vTqaIWOVlg5luG4TTuKy1dD1ad0TWFcckfOP3sUe/fu9UkZOt7Blcixmk9QkbcUoynq5DbVe5NRYGDdNtmsnhtncTOeluuNmBtnIkcIA/FDbqYs+zcKdnzS5DLaCj4VOEKIC4QQ+4QQ5UKIz4UQYUIIgxDiEyFEoRDifl+W70hOTg6zZs0iJsTEI+N7ASdjbUARNlpx4434GFdxNr4aceWsHE/L0tZzQGg0MxK6cmjxCh/VrP3Q2uzcarXy6aef8unbH3Fe7HASAk4VBw0N/G1OnAkd+9/GCh1X3VTZezvw6PABdIsMp7DQs4VCT2da2tYdRY7VfILKwnUIv1ACowYTE9EDy8gU4kYpdpKbY8W04nCLiZuGem18WcfguD5EdDkfa3WZz8pobfhM4AghooBPgQeAToAAngTGA7uBZOBcIUSor+qg5ZprrqFP1zQiDqxi+0PjiQ8LOGXxTDt2UeKNIGJnNCRfT7qYvIFjGRZp44PcA4z+63VeL6s90drs/Oeff6Zz5848e8t9zEyZwkXxo2r3aVcHd0VLi5uG0tRYnG69C/n58BEyMZKamurNqrU7WpOtS2mjLOcHSrM+x+gfQUTKNGKj+lF9XX+GTYqqnefGtOKwT4dhu6IpZdZ3nCfBy868ODZrDSUHfiYgMqVR9WqL+NKNcCmwSUr5DYAQ4jngB+AnwKiWLYBmGZy/dOlSVtwxmp4dwutsty/BAN5bH0qbV2PSu1pfqrF5eZJOi5SSJzK2YBSCF198sdH1OE1oVXa+a9cuBphDeWrI+U5XB2+tXhtnuIsP0lK5Os/tcHAtjrMcr8/N5+ala/lu6XISExMbXdfThFZk6wJzZRYRqdcRF6MEz1tGptSuL7Vum8QubpqT5i7PU6TNyrE/XscvKJaoHpe1dHWaDV92UfWHOvOr7wA6AGuBXsAhYLGU0udTia5cuRJT9QlSNSOktOtLNXZl8MZi98poP477m6MOriizWlhTkkeXoDDmdB/OsmXL2Llzpx5w7JxWY+c2m43X//kSQyOT6myvz2PTGsWNHWd1a0g3VX0enp8tx0lJiGDLI/excOFC1q9fz+HDhzGbzQ2u62lAq7D1mIgeBFKDf0AssdHKYpIyOYK4UTH0iqgBnC+D0N5xNiOyHWt1CZX5uzGFJVB+5A8q83dTU5qDtaZ9z+QtfDW7oRDibeCwlPIpzTYzkCqlzPHg+JuBm9WvQ26++WZ3yd3y559/Eh8giQo+ub6SNV5pOP0sVmRRKZVFkqBoD5YUd0NlkXItg6JF7f9NxVle7urprFxn6eurX5XNSrGlBouUWKUNi5SYkfTq1QuTyYTBYKgzKqc189ZbbyGl9EllW5OdFxcXc+TQYTqHRCOAcosy70eIn9Vpevv+1o6r+gcE1hXphlD/Ot9tZWan+7TbAY5VVFJltWKxSSx+/tRUVRIeGUXnzp2xWCz4+bWdJfvakq2fdfakRtelpvIofqYoDGoAvQw1ERLpR6DRRkm1AUuZBVFW0+j8WwUm9/endNgvapzfJ3ZslmqsNWUgrUibFaQNaTNjCu8EwgCINtOmr136pUd27kuB8wJQI6V8RP1uAqqBYCllg8apCSFkY+t58OBBhvTtSdbsCfiryzHYvTcA4a9/36h8oflmI9ZSX/dZQwKaG1r/mXvWMDQslq9rCjGbzZx77rlcdNFFXHLJJa3avS+E8GWj3yrs3GazMW3aNDpvOsbVnZS3Wrv3oy11S7nCnRdKuzCotquqMcPIg0bF88Omg7zw/R+EVsGSnHx69OjBRRddxMUXX8yoUaMwGFrv4NO2ZOtdJs1vVJdOdUUWR/e/TWq/x2sfyNXX9eeGs83sLjG1WPdUc6ANYnaMs2nMxIKZS/9BWKfhFO/7CQQExfUhuEN/QhIGYgw4Gc5R33w73pgVuiEc+OZ6j+zcl68mf6L02drpBexr6I3QFI4ePUr//v15+NzuteJGS2xROZ5q/JYQM85wF1/jqo7OjmnM+QQIA5/nHWJOl6GkB4axbmsmX//6JA/cfidnnTeW6dOnM2nSJIKDgxucdxumxe0c4LbbbuPXb5Yxc4hn/ettSdyA+3icfbtiakVOU+fGqVydhyG7jFV/HuHanukcveFythYUsXjZIm5/9y1KgsO49tprmT59+um4ErnXbV37wPZEkNRU5ZG952Viky6rFTcyWRkSPjimgt0lpnbdPaVdYdwuKjyd7M8ZBqOJkoNL6TjyQfyCoqg4tp2KY1sp3P4pgbHdCRl0PsGdh1GfkvCVAGrKuYFvPTgxwD7gMpS+2o+AP6SUsxuRV6PebKurq4mMjCT3X+cT6H/SnecYf1MfrUXcOKOpAckN4fcT+XQwBZEWWHeQRJXNwsriY/xQmMWO8mL+du/dzJkzp9W4O338Vtvidg7w4IMPsu+DDczu3b92my8n8Wsp6gs61npzGsuJmhp+OJTN1d07n2LD2wuOs6A8l09W/0ly9z68++679O3bt8lleou2ZOtdJs0/dXs9IsdqKSdj+2zSBz6PUNdUk8kRRE9L55EzSnl6fVizTujXknhjzpzy3C2YwpLwD4mrs91mrqTs6EZK89ZRU5BB+ICJRJxxZatp0zNemeSRnfvM1yqlLASuBz4AsoA84FlfleeMgIAA0tLS2H2sFGicUGnN4gaat37Dw+NOETcAgQY/LohO4pVuI/i8zzks+s87PPXUU05yaH+0BjsH6N27N9lVx5q7WLe4m2unsdQnzLwxIWC4ycTUHum1jbl2/p1+sVE8kdqLw6/N5IZ+4VxyySXk5XlnbazWTnPYen0LTBr9QjAYTFhqlPXDtCt5byr0d3VYu8Qbw99DEgaeIm4ADP5BhKeMImnoLBKvnkv5vjWUbvuxSWW1BD7tTJZSfi+l7CylDJVS3iClrPZleY7s27ePPXv2UG2xcsnba8gd3LC3u9YubhrK0A3f+byMWP9Anug8iKf/NZvs7Gw++OADXn31VXbv3o2vvIUtTUvbOcDChQsxYGDRsT3ct31hi19rbwsbLfWN/PL2rMfdehee4hnyMxr423n9GRzvxwcffMCqVauYM2cOP/74I+Xl7XdkSnPZuiuhU1WeidVSjs1aSfaeVwgxmpwcfXrh63l+AooDiO83g5LfF2A5kUfpzl84sW0R5uKcFm9n6sNnXVTepLGueykl//73v3n4wVlEB5vo2zGc72eO5MTtl7SL7qnWytqSPO7e/zsRRn+GhsUSavTn99J8jHHRnH/++YwfP57+/ftjNpuprq6murqanj17Eh/v2VwmDcWXbntv0pQuqr1793L11Vezd9tOJJIH0m8kOSih2buo6hM23izX08Bju+DxRveVlqBR8Qz6+4fszC5kYGocw7t2ZMeJKjZuOcDQESM5//zzOffccwkJCam188DAQAYPHuwzV39bsnVnXVQu06sPcCltHM9dTFHOTxj9QwkK7UrsdY8xbJKyTEN7DjDWYhd/tdfFC91V7ijN/o28DW9iMIUSHN8HGRZEVeZWhNGPwOQBBKUMwj+6E9JqAZsFaTXjH5OCMdD1kkhNwdMuqnYtcOzs2rWLy8acwYPjenDTSzd4HH+ji5vGUWm1kFVdTpegcIz2QEApyawu5/cT+fx+Ip/DVWWYDEb8hQE/IThcVcb9/3qU+++/3+tBym2p0W+KnVdXV/PEE0/w4Uvv8o+uN+Fv8GtWgeOp18ZbZXvLS9QU4bO7qJgOwUEknZcMgBw5iPKlv7NyVzaLtx/m193ZmK02AvyNmKLCySs4QUpSDHNf+4jBg52v7t4U2pKtN0TgQN34nKqKLHL3v0Ps4On4T53MDWebWXQgUI+/8RE2cyXmykJMYYkIYcCaEoGUEnNRFpWZW6jK3ILlRB4Y/RBGf4QwYC4+SsTQKYT3vxjh593uQ13gqJSXlzN9+nQMB37nw2uHETBtXO0+dwKnvYub5gxO9oTs6nJeP7KbP0OMPP3001x77bVeG47blhr9ptyPP/zwAzNmzOCu6CtJDFT61VtC4NQ3PN0X5XuzS6wxgkc7PF2OHFRnn1izuXabxWLl3c9W8sS8rzj/ost4+umn6dSpU9MqrC2rDdl6QwUOKCLHaqkg99D7+JtiiJ72AHGjYkiLtZFRYDhtBA40v8jR4snoppqiLI6vno+5KIuokdcT3PVMr3kudYGDMgfOZaMGMSgpklcuH0iQv7HOwppaWtPD3pc4mxOnNZ371rIi/htaRWpqKh999BFBQUFNzrMtNfqN7Yq9Pf0svjy6gzl9LsJi6d2sXUXuaK56+Crmx1Ox407gOONEaSXP/+d73lvwOwsWLGD06NGNrqOWtmTrjRE45r1/cvTAOwSH9yLmzOuxpcXU6Z5qzlXDW5rWKHCs6cr9bDxYXPt/zcqVFK18l4AOXYkZexvC2PTZaVp8FFVrYMaMGVw5sBNvXTW4jrhxpDU94H2Jqwn/7CuON9cK5+4YEBrNK7YOlC1fx4i4JAoKClq6Sq2eRYsWsShvDx8PuZqBEa1rwsX6BIwvhIk3xZt9BJXjxxHt/DtizeZT9gPIpE7IJMVbEx4WxNMPXckHL83giikT+eyzz7xW5/aKlJLc7A+J6DmB2JF/RRj8ah+iGQXKo6y5J5w7XXG6HER6pNP/TWPGEP/Qm1grT3DsuyexVVdgTY+sk8ZXtFuBs3HjRg4fPsx953RrNWP3WxJPxUtrEDomg5EnOw9mYGgMQzql8eeff7ZofVo78+bNY2bqGZw1qMpjj4MvRzk1ZxnacjxZV8tb4qehIscubBz/Hz+6H4s/+TsP3Hc7zz//PBbL6fGyBYoXQPupj8qCXQCEp51be7wW+wR/uvem9WEICCLmzucwJqdy9PtHsRQeBagVOr4SOy3/yu4jzGYzBoMBW+vvgfM5jREsnsboaPP2pifMIAR3dupFUkAQI/r2Z/DoUYwfP57w8HB69uzJuHHj6s/kNKGmpgZoeFfe0Jhin4+m0oocV7E5jrE7jSnH8Vh3eXkSI+QJzkZnOVvZXCtonG3rl9SJNd+Ect1d/+Hll1/mqquuIjU1lfDwcCZPnkxUVFST6tlW0AoWZx4CabNwcrFy5y+t1pQIjJweIscX1PcbOEvnKcLoR9Rf7qV0+f84NvdmTCm9COg6EBEYjCkxnYD0k5OUems26nbrwRkxYgRdu3blww2Ha7e5CipuaY+FjmumxKXxY//xnH/4BLtffpcVj7/I9AmX8NJLL7V01VoNjz32GG9l/I7FZmvwsb7wsjiKGkfPijNPS1PETUvjat4duxdHHMmuN4+kof1ZtvYNlnx8D9F+WRza/hPf/u91zjrrLIqKirxa37aAM69OcHx/hMFIec5G4OQD2N49VesNSHE/WaCOazzp4mvK8glCCMLHXk3H2QsIHjoeW3kJ5qOHKJz/BGXrfjhZhsaz4+zjcXntOcj47bff5qPn/8HiW8+u3eYsDscufNpjLE5TxZunXpzmvHYZVWX8bc9aCmoqPep+bEuBl42xc7PZTEJIBF9fNoaIwh5Ol2hoDQtventUlTPvkHZ7c8f/OFv00x5w7MyL4w5xJBuxZjNT5n7LpDse5frrr/fsuDZk62l3feNxevuD9/i+H6guOkDC8LsA5WEbN+pUgZmbY6W9zofja/HmzovjTtzYhUdCopHcHPcrmztSnbGTok+ep+M/PvAofdY95+hBxnPmzGFgUkS9sy3aRU978+Q05/kK41nfAAAgAElEQVRoA5V9XW5aYChBBiM7d+70aTlthfnz51Njg+qcpNptjh4TXyyb0FCcCQ6tN8fTOjqmc3W8q/+dle1rPPHiOOPCgZ1ZsmSJl2vT9rCmRGBJDqN434+YIlJdtulpsTbSYm0kJBrbnSenvmUsfEFD46QSEo31pnGW3pTSE1tZMZZi7y570q4Fzv/93/+xuiyC8/7zK7knqoCT3pqC6JDaj5b2InJa+jx8Xf4Z4bF6w69y5ZVXcut9dzDl9094eV9G7Xb7A7wxosHXaOvW2LK9IVB8fc6uRlR5ynl9U1iyZEmrnxK/ORDCQNyEWZQdWcfR3+ZirSkDFG9NWqyNi7pU0Suihl4RNQB6d1Uz0pggYbu4SUg0IgxGAroPpnrvJq/Wq10LnFGjRvHHH38w/vo7Gf3+TrbleOaubGlx0FS8Vf/GLk5q/3gbrXdoeHgcixcv9noZbZHw8HDmzJnDuq1/sCpgB18cXYKtlT4Q3YkSTwWLYzp3Akm7z5cizpPRa+JItseeHLswSu8QSXBwMDt27GhS/VojjYmtCEoZSOL1r2IKT+LIyicwHz8CnIzDGRxjdnpcWxc5zVX/psTXALVdU/V5cpztD+wxlKo9G5pUviPtWuAAGAwG/vWvfzFnzhwueXsNVeaG9Q3q1E9TRY0n3Vra/f2m+jE0LJZVq1Zhteq/p50+ffqwbt06CtNqWFW0kU1Fbef2bognpjV0t3mKJ5P+OeIogsaNG8eyZfWvm9ce8ETwCIORqAm3ED58Cse+fQLDftfiUp8Xp2F483olJBpdfpwR2G0wVfua5vF0pO20gE3kqquuYuBZ57BgSzY1ny4jtqhhK/62da9Oa6Y+ceTs2pdYaoiOjsZobFifb3snNjaWOXPmsPDY762iW0PbBeUNUdKUPLwZc2NfYdzZSuOOw8S1NDTYGKCgoIC4uLgGH9cecCd0wvpegCEonMqMjeTmWNldoqwsPjjGTFqsMqLQ09gRncbjrTlsrOUlGEO9GxN32ggcgIceeojZq4+RM2pAne0F0SEuZzm20x5HWLmjtZyvK2GZ17vYa9PbtzfGjBlDz6Fd2VC6skXK14oZZ8PEvVmOvYyGpHf13RFX3U7uuqOcLdlgn8HYE3Hj6L2RUrJq1SrOPvtsF0ecHrjy6kQMvZyiVe9iPVH3N+kVUaMEGjfDbLmnC00dsq3FHgxuJyHRSPWBrQR06e/mqP9v78zDq6jOP/45NxtZSIAkEPZdwAUEqVDBDVxbrYpWRKxKcf0pLlWs2rrWXaxWxLrbal1bFVSkdUFAUHABUYQgYYeQhCQkIft2fn/MnTC5ucvMvTN343ye5z7JvTNz5p2578x873ve8x7rHFQC58QTT+Smm25i6m//RsPrn5FTXsPLG5MjbVbM49nFFI7RVMu3lCqB4wMhBO+99x7FXTbzQeF2SzVnnOz68Zc3E0yUx3OkmBm8FSA0i7dojS+CHR4OB/Jv6paXsOaDTWRmZtK3b1/L7cQrxgdr+uDxpA8/nvLXH2ZbqYvVZdqs1XoUx+qonoOdQHNMBcLq+TaKnIbNP5AyeJSfta1jm8ARQnwhhBhveH+qEGKTEKJGCPG2EKKz+3OXEOJ1IUSZEOImu/Zvluuvv5796T1YvGkvADOGNfLyxmRTURxPomFag2jCeD70bqdQz5G3SFJrq2T5lrKI/aqNBV/Py8vjnnvu4bv9y1hd7uogLiIlcryJGE9b/CUM+4sImY0UmTk+Xcj46obyRyjiRkef9mF5YUnc+rm/HA0zD0pd6HQ+/3KairayY9X6tm4qoN1oKoj9RONI4YS40ZPC9b97djbQuHUdKYOOsG6gH0IWOG6nfwaYaPisK/AGMBvog1ZX+y/uxScDG4C+wIlCiIxQbbCCy+Xitttu47GClHaVjT0jOf4eytEubEJN+rW6nef+7O7eMrb34xvN3PxEPr2Gj2L48OG27icQsebrF154IaJ7E8WNuy1vG0gEeObWeKtebAVf0RjP9r3t184cn2BIndi97RUKxu6p1Ind2XdoGg//vJNLL700RAst2hElfm5W7IjEJDqfOJWqT19ri+IMyWzpkIsD/kVOJOrM+EO3x59NTucXORW5gQPipqiwhcqFL5DcfwQJmd6rgge7LzsiOBPR5rSqNnz2G2C1lHK+lHIf8BBwgXuZABLc2+gTi4SVadOmsXnzZr7eXt4u2dgziuNNyHgTNtEudiK1P2M0x452f3yjmaUVRby9dytvv/12JCZRjSlfT05OZvbs2ayu+qLDMifmofInOswO5fZX9M+u6Iyd+BI1ZqM3+tBxz9yb/XWNnPfEB1xzzTWceOKJIdtpkajz80DRnfTxv6Zh84/U7T4wNc+QzBZGZDUyfqRo96D2FAyeIiKaRE4g7Bz1FKxYCqUbsKiwhZqv/0ftms/pdtHtPtu3EtkzErLAkVLeIaW8DDDGcEcCxvFe64AebmX/MTAC2Ap8LKW0NpzJBpKSkpg9ezaP7dCcfsYwLZTpq6tKf1BHs5Dxh5WITqSTi/1Fx5ZU7OGB7Wv5aMUX9OkTfPg/WGLR12fOnElNZhmfFpf67NZxGiuiI5JTSdiBlWHhvmriVNU2cNqD7zDyxDO57bbb7DLNNLHg554PPFdKKhnHncOWN/7FhspkCqq0z8dkNx1IOO7XXsT4i47EksgJFV8jzZxK0C4qbGl71Xz9PyoXPk/ulQ+TkN7RhlBzqJx6YmcCbVJaStkghGgGMqWU1cDUQA0IIa4ArnDIPn7/+99z3333sfan4Yw6rA+gdVG9vDGZ2bkdr08zdVoiLQ50O8C8ULHLZl/79dW+5/n0XM/zfC7eV8jDO37kk1VfMWbMGDtMtouQfN1pP09LS+P666/nH/e9yUk9prRbZiYXJxLCIlZq3PjCymgpPaFYThiNWLGGytoGTn/oXUafdDZPPfUULlfUjAOx/Z5uTDDV0bstrKA/BFsnnsOe+6azcX0Rq7O6MSSzhSGZWp2sDZXJFBke2GYiH7rICed8VtEirMIx+qx61SKqPnqR3P97jKQe/dstsys5PKA3CSFuF0I0e3m96GezCiDV0EYympjaZ9YwKeVzUsqxUsqxZrexQmpqKrfddht/fvhD4EAUB8wNG/dGJCI8vvYZ7nmojP+HkqPkrYvr032FPLxjHZ9+vdJRcRMJX3fazwFmzZpFVWYJHxeVBBQsvhJ+7c51CbZqcaxh7ILyV8VYrFhDRU09pzzwH8aeei7z5s1zTNxE8z1dHz5sfJml15Au5P36PHa/9WK7KI7eVWUcNm6lOybU3Byz20dK3ATbzRVMl5FO9VcfusXNX9uJm1Da9EbAK0hK+YCUMtHLa6afzfKBww3vRwCbpJR1oRpsJ1deeSU/ba7hi1UF5JTXMGNYIwvezQl6VBWELwHZ136M3VGB8oecjDjZkeT84xvN7Gqo4aHtP7D421WMHm29KqwV4tXXO3fuzO23387Kqk/9jqjyJSSciKgE02a4IjtWRkzpo53Ae/eUZzTHn9C59uXFjDnpbJ588klH88tizc+tiJ68M6ZS+cO3rP9uC6vLktp1VZ0+uL5N5OjzVFkhVAHirzssWiI34Gz0pqiwhcZdm6hc+CK51z5BUo9+bcucGNLvVPxzPnCsEOJYd/b9A8DrDu0raFJSUrj33nu59f7326q+njWltG15sCLHaaIpF8iKLcFEd+bu2sAt997NqFH21kewkZjw9SuvvBJXXhOFDds6LPPsigpXxCSQYIlE5MaKuPGFUcSYnXtqVcEelmytYs6cOZFInjdDVPm5L7GTkJpGr3N+x67Xn203ZNw4qsr4IA2HyBE7K9tedrQXrQSKthUVtiClpGLB38k67VKScg+If6fqFTkicKSUZcAlwCvATqAEeNCJfYXKhRdeSHVjBu/++bUOURyd5GmTgqqRE2nCkRNkNsfGShv6tmv2l1GQmcSNN94YvIEOEyu+rov54iH5SCktd1VFgljPxRG7dyFWrGl7dViu599IyU2vLuW+++4jIyOslQRME81+7il0ck/+DXW7trN37dq2wn+giZzpg2raRI5nJMeM2LEjH8fM8O9IkrDF2nWnn39j/pQxkVh/AdT/9BUt+8tJ/+Wv27WhL7cb2wSOlHKAlHKl4f0HUsqBUsoMKeUMKWWDXfuyk4SEBB5++GFu/XAddXWN5JTXcNaU0nZdVTq+RI63UUrRkHAcaUIRecX767l/7/c8/vjjpKamBt4gjMSqr1944YXU1tby1u6fgI71ZjxxcpoFK4Srxo2v6E2w9W2Mosaz+8q47C/vrqS1Wz8uvvjioPbjFLHm5/qD1pWUTJ9pl/P9vLn8VO5q66aCA/k4usjRhU7jCf07dFsZIy++IjDBEM6k5WiiubyIff/+K12nzEIkhCcAEPkwQxRw+umnc9SkX3PX5c/wyL+u0xKOPbqq9Ho5niLHWCwQIiNszIzgioaIki887f/mtQZuKlvJpdfNZsqUKX62VFghISGB5557jt/85jf03TuYCbmpfFvWxef0BZ7dVr6WO135ONqpW15iWgR5RnJeX7GBl78pZOXKlQfdxLF6pWF/GLuZzDIgp5X+Z03i4yWL+Pnfb7P6yvMA2kZUjclucq+pt53Qtt22XtnsXe78LOS6yImGKI7Zbrq8XgleIy3bSl0Bu6da66rZ+9ytdJ50AZ0OOcrrOkWFLbZ3VUXvUy/MPPnkk4wc0p9zH32XcbOnAMkseDcHppQyY1hju0iOkZxpkzgCTeSES9z4SiCO5qiRmWH2AB+8XMGlG77gtxdfxF133RUO0w4qjj76aKZPn84Hf1/EhFz/4tFsbk44hE4047PYn3voty+m3/0en5Tt5/PPPycvL88p82KaQCLIlwASQjDx1pv49Kor+XricYw5rmvbMl3oHNiH9ndMdhOrs5JYhFvk6G3FccQlkLgJVnDo2xUVttC4I5+SudeTfsyZZBx3blDtBYvQk2ujGSGEDIedzz77LG/OuYP/XjWRqmvObJeHYxxGDgemdtA/zymv6RDNAWdFj69RVGbW87VusPv1hb4Ps9vc9sGPJI8/l4ceeigo27whhEBKGZWZm0bC5ec1NTUccsgh/LL515ye16tNmBi7aDat71gyPVLzVznF0EPL2o4zlORiXeB4G0XlTeDULS+hqKaOo+Z/xs6dO23Nu4klX7/zu09sbdOb2Ml//TXKf97IzMf/zJjspnbixth1ZWR1WRIbKpPZVuqiqLCFhC0V7SI6dgseYxRHFxxOR5A899f23mMElVGoeBJI/OjblL/5CIk5fcg86cKA9pgVVN+cf6wpP1cRHAN1dXV0TdWS0rSE4wNCxtes4wc+T2bGNWd2EDp2TldgJ8HYE45urv/lF/PPOec5vp+DmbS0NMrKyhgzoBPgvfvJ6wN/fXQkH9uBcTJNpxAr1rSJHuMM4akTu7P4xZVMnjw5apOKYxFjtEcXOy2NDSR7nOOeaa3sqXV1iOToaJ/XU1CVwOqyJBb1yqaosEtb8q2dkR3PLqqEHZVeKwv7EjyhCKJA4kYn1ATg+g1f033W9JDaCJaoKZMZDUyZMoWlm/dSWqPlzumjqgKx4N2cdknJVdecGZbh5WarBnurSROtOTkJLkFSUlLgFRVBI4TgggsuYP6eH1ldrt0Cvi3r4jVqY2TooWVRMbml0Z5gZvsOBTOTauqjpnxN21C3vITU4VnKzx1kRFYjI7Ia6XP8iZSsXEFjbV1bXZw9tS56pgUuIDgks4XzB9bzp6P3M+PYJnInZrdLRHaqLo4n/sSLvizUSTftqH3jUwgJF5hMKrZ7NJUSOAb69evH+RfP5LpVu6mtO9D15ClydEGjY6yd8/LGZK+FAqNRUFitYRMO0pITqK2tDcu+Dmb+/Oc/82P11+xp2N4mcszgKSg8J8m0G1/ixddnZoSOHWLIn8jxjNp4bpc6sTuJm2uVn4eB8Uf2ZsDYI1n0yFO0NDW1fa6LHM+XjvEzXeicPri+beLOYAWFmSHiRkFjJTJjxSYr65rtNvK1nkhOQTbWm96fnSiB48Fjjz1Gpy6HcezZj7N1hyZcfEVydKGz4N2cdiIHvE/c6YRIsDKRZrCEYrfVwn6pSYnqxh8GhgwZwnsL3+G/ZW/xY/UqvisTHaI4m9Zne43q6A93T6Hg5JByo3hxIlrj61g9qVte0vYyg68aOF2OzFZ+HibO+NMN1FXt55UrZ7M0v7It92ZPbcfHn6fQMa5z/sD6DlM+WKlnYyXik7Cj0pS46dDNZEK4mO2aAtrVsLGCcRuRlIJsjExFASVwPEhLS+Nf//oXF8+8iaN/NYeH531CY2NzO5Fz1pTSDoLGLNEWyTE7uilcpCa5qKuLmlkO4prTTjuNH39eS37NGhbs/UfbjOOeD/tAD35vw8dDFTpWIjehYuVYvWFW7Bhx5VcrPw8TKRnpTJ1zN4N/OZZnpl7JM/MWsrFcW+ZN5PjjwBDz9rNwBxIvTgwHDyaKZEXcBIunIBLJnZBNSuBEDUIIbrjhBlZ9s5Zla5oYfcrDLPlyEznlNczO3ceMYY3MGNbYTugYu6xuGaUlVPma0yqaRE60JT83NLcedPVAIsngwYMprN3BrXP+wCfNbzJv62es2JvWocif8cHvre6LXfk44cinMQo4b4LGbDRH727Sz4W/IeGeNLS0KD8PgjHZTT5f/hAuF8ddfhGXvvBXNiz+gmt+fSMfLd0EaCJHf3niLVcn1DmtzOKtuKDxvR7lMRvt8SQcM4YDyOZGcGji2EBEz5M2Chk8eDALFy7kvffe45JZl3H8+CHcd+sZ6NODzc6t0erjuCsf6zyy9rW2/1/emMyMYVq9HOhYGDAQdta38TZTd6B9h5ufiqo44ogjwr7fg5nExERmzZrFeeedx80338wf33qaY7JOZXDqCIRwAe4b4fqOERTjUGtvdXPMCp9wJQkbCSZaEwizIuensgqOOHK87fuPJQKJErvaM07XkDuoPxc/O4cfF33GvZfdx6enjGPajdPp2r1bu20883F08WMcebUIbRRikfv6SMDcyCozI5+M7XgTOf4iQi39sry2bRRioYobs3k5srWF5uIdJOUNDGl/waIETgCEEEyZMoVTTjmFBx54gDGnPMzUs47i9lmn0Ltnl7bh5LrI8dZ11SZyymvaojlHsNiUcHE6whJN0aQlr9RQV9tK7969I23KQUnPnj157bXXWDxzMbfccgvL13zGcV1PRpYNd08A2aVN5OjdMqkTuzNyoqGbZr32xzhDeSCRY7e4MYouJwh26gYj68r2cezIkTZYowiELnx0oSOEYOSvTuKQY8ez9LlXufqkqznyN6cy4ZLzYeiBIeWeIscXG3KSD1RAJrDIMY588iZEzIgkMyLHrw1bKoISOZ7CRu+O8iV4mvfuxtW5G65OaZb3ZQeqi8okGRkZPPDAA+T/vI2M7uMZdcrjXH/nf9hTXNmWn3OWRyTHiN5dpb+Sp02KmLiIJlFjpKCuiiGpmdE6m/JBw6RJk/jmm294472XKOqbzz+L5rGtbmO7RGRPAeGZeGwcSm7s7gpXHZ1QRVMw2/tKPpYTRre9dNaVVTBSCZyw4hnh6dQ5g1Nvupqr3nqOlqYmnj5vJo/c9Q+qyivbhpP7Qh9ZNSa7iemDajh9cL02jLyf+aRjO4v5OdVN5om/hGNvCclNe7aQ3GuQ02b5RFUyDpLi4mIeeeQRXn7pGT57axZHHt6H0m7pvLwx2Wckx8iMYY0RqX4M0StwnlxWwI5+xzN37lxb242l6q7R5uetra0sWLCA6eddTv9OfZnU7RzGdNN+zY7NrmDooWUdIhrGh7wuhLxN7Olkt1SoERx/tnmL4BiP2XO5UdiIFWtoaW0l87JnKSkpsb3QXyz5+vxtH0Vs/8ZuK53KohJWvPwmP32ylJn/nMtJR+YyJLPFa/TGm/gpqErgtS3prPxBdqh+bAUrBQR1MeVL4OhRGl8zhNsRxQHfwqfyo5cAyPrV70PehxGzlYxVBCdIevTowWOPPcaM31/FPX/9iL1l+01FcozokZxwJyFHW2Kxzk9dx3DooYdG2gyFAZfLxTnnnMOW3evYVLue7XU/s7rc5bd2jjH5Vk8aNlUpOUYIZtQUHMjP+eHDzeTm5qoqxhHEW2JyVl53fnXbdQw7/pcsffYVVmyt9xnJ8VY7B2D6oBrGjxTkTszWZij3UpU4EGaHnhvX8ZpzY0K8+BI+VvAmbhK2VJCwpYKmTfkk5fUPeR/BogROiNx5550MGD6Jw054gCee/5zssmpT1Y919Ek8vQkdJ4kWkaPb8Y/nivj4448566yzImyRwht5eXl88NF8Ptu3kNeKXqSqeZ+p6sfGaIZn9WOjEDJTITicBDouYz0cM4JHFzdSSmYtWckVV1xhi52K0PAmdE667nKSUjvx9Lm/58UXP/U5Z5WOLnL0BOQRWY1tRQE9qx9bwUqNHWgvcloGdWkTGYFETLAix1eNHL292i1f01i6lbROhwTVth0ogRMiWVlZPPHEE3yx4hseePJjtu7QfpmarZOTU17jpHlRjx6t+qlHCTfccAO9evWKsEUKX5x++ulU1hWT4spk9f4v2qI4ng94bzknnmxan+1VGESTyLEDzxnFSypryW9o4bbbbougVQpPjEInrWsWZ/zpBqbPe4j/znma/RX7LdfL0RmQcyDCE648GbAmWpwaLl6z+Su6/OK3JHTqHNT2doickAWOEOISIcQ2IUS1EGKpEGKY+/NThRCbhBA1Qoi3hRCd3Z+7hBCvCyHKhBA3hbr/aGH48OEceVhvft5SYkq06JN06hGcaMLp6sje2l37QzVDhw51ZH92oXwdkpOTeW3h41Q0a0LeTNKwP9HiS+SYieg4OVLKV/tma+T4YsOn2+jVlIQrQnVBzHAw+7mxrk7eIYPpN6QPe7buDridr1FW20qD+571GjhW8nHCmWhsFB/GKJFRWDVXFpPYpWdYbPJFSFeZEGIoMA+4GsgF/gu8KYToCrwBzAb6AAL4i3uzk4ENQF/gRCFE3HREH3LEZH7eot2wzXRT+RM5TubhWJ0+wYn9e7K7oZZBgyKXbR8I5esHOOSQQ6hsOpBD4/nA91YLxphzo4+m0rcLNqfFF3YKH13QWBE2vo6nbnkJWyr30yc1fL/kraL8/ABjspvoNbA3zUU7Ta2vz1ulCyTj7OZOE3BYeJDFAK3gGTVqriwmKSvP6zKzhBrFCfVnxCTgcynlIillHTAHGAX8BlgtpZwvpdwHPARc4N5GoJULSHT/H13DRkJg6NChbNq6N9Jm+CWQsIlEbs7a3RWUpyYyePDgsO/bAsrX3fTp04cGWU9T64Hy654PdeOM2nLC6LaEY0/8iRx/wsdYiTgYEWIXqRO70+mPp/ocSWYUe1JK3i3YzvE3zgirjRZRfm6g14De7Nhc2PY+IylwjS5jMUBP/AmRYKI2gdo0Q6iJxm0VnQ1dXfWF65EtTSSkd/OzpfOEKnDmA7MM748CaoGRgPFn3Dqgh1vZfwyMALYCH0spvfbnCCGuEEJ8K4T4NkQbw0Zubi7l9eaL1AWK8oQ7yhIJcbOvtpELXvmap59+OtpHlTji67Ho5y6Xi7zePahv1eZS8tVN5S8HxxtWIjnROArLU1x5JiI/sWY9JbX13HjjjRGy0BTqnm4gMzuLin37295XN+32K3J8dVXZnecSaDZyq9M42DGaCrTjbK7Zx95Fj5FzyvUI14EE7UhEcUJ6gkopi/X/hRDnAs8At6Ip/u2G9RqEEM1AppSyGphqou3ngOfcbcfEL4KMjAxqarRrW8vDSY6sQRaIhLhpbZXMfOM7zpw+kwsuuCDwBhHEKV+PRT8HSE9Pp6miidXlrra6OJ7oERyd1IndYf2Bm5Ve5XjT+uw2wWJV5IQ7YuNJ3fISWP4/9zvftizbXcST32/gm/yNpKSkhMe4IFD39PZ0SutESW296fWNycgbKg/c/9tyVHyIDTNRGycm7LRKXq8Ev4LDtamUokVzyDjsJNIGHNVhebAVlIsKW0xPD9HOnkArCCFuF0I0e3m96F6eI4RYAPwNmCmlfAqoAFINbSSjial9li2MIdLT06murm57b2W4OFifpyrWuWtuAbt2NPDoo49G2hRA+boVMjIyaJIH/NsoNKxGbvTtIy1WrOA5Yac/22uampnx8QpeOHkC/fr187leuFB+bp5OaZ2ore4ocMx0VUH76IPTOTDh2keHfRqGo1d+9y4iMZku4wLqXcsEE8kJGMGRUj4APOBtmRAiHVgOfAkMdyt5gHy0PludEcAmd59u3JKent4WwbEDu6Mq/rq8ItEd9s3+Uv788rMkJ0dHpEv5unnS09Npbu0o4HVx4yly5ITR1D/8PzyjHJ5zVRmjOb4+87aOP/R9eOtKC3UWdDOibH1ZBXnpqZy54NOQ9mUXys819FwZf3VuUtI6UecjgpOR1JvqpsAjrOzo/vEVvfE1n1UwmImueI6e8qRu51q6/OJ89yS9we/H3/6tRHJCfapNB/ZIKT3rMM8HHhVCHIvWV/sA8HqI+4p6ampqSE1N7fC5makbnCBap2TQhVth98xYqlysfN1ATU0NuSKpXfdU3fISOk3Q/pe9+7RbX+zeZbpto4AxRkk81/GHUTg5JW7Msr68gsNP/VVY9mUDB4WfGxOB/Qmdhtp6UlJ9dynqkRxd6BhnHjfiRGTFqrgJNRnZ2D3lKW50O5r27iCpW9+Q9hMIK5GcUJOMRwLHe4Y6gQzgEuAVYCdQAjwY4r6inoKCAgb3avC6bMG7OW0vHX2YuFNES7ViT/Y21vPg9h+oqqqK+to3BpSvu5FSUlBQwLG5XYH2QsHbEPFA2DkBp3FCT8+/RpwSN8buqlYpmft5KY9sLWLixImO7M8B4trPh2S2+Bzl5O3zPdsK6TcwcC0Xzy6r1WVJQdfAMWFaMOkAACAASURBVINVsWJmfX9RFc/cG891m2pLKf7uOVyJnUhI72rJNicJNcn4WuBaH4u3Ax+E0n6sUVBQwJABue0+mzGsEQLMMj47d99Bk3+zq6KO321eyoz/u47nbr01arqnAqF8/QBlZWXUVzWQ0T+1w8SZdctLSGUN8vw+Xrc1K2bsysfxtT9vk3/ayab12dy/cTE/7S/mxflvMGlS+KZhCYWD3c+HZLa0i+TUFBYy8qhD2o2OCjSSSqeosMX0pJuyb5bl4eFmMSuGPLuOjF1BviI3AC0/bWD3svvIGnQSuSN/hxTRM9drdPZhxCgF6z5m/LlHW9pmxrBGKHfIoCjgy1fr+L66nL1NdfT6RQJfbCnl/EtmRk1iscI6BQUFZCb6r28hdu9q103l2WXliWcuTrgIdZ+6UBrTbR8NPTazpqSMwt1pSCQf1+xg0+ZN5ObmBmjl4ESf0dtzLiin8Fefxhc7txZyxm+Pd8CajgQjcgJ1U1mN9HiKnA4Vi3dU0tJYTX3pRpobqgCoLf6BzIGT6DZiStBiyimUwLGRzdtLGdy/Y6QmUBQn3vh6eznvuI5k6dKlFGwuYNy4cQwaNIoyIeiW6+KWW26JtImKENi8eTNZBoHjmfBrzMUxSyhCw18SsZMsL0nji/KV1I5NZvby5eTm5jJu3DhSh2p5eI+OnabEjQl0oQPhEztm2bm1iL5euqi8RXGMScfaEHHrI+H1ZOJAQidhR6VfMWFWaOiTchrf6xijNvW71lG55nPqyzbSVFtKp25DSUrToqyJqV3JGnSSqf2FGyVwbKK1tZXN20oZPCB6REy4k4y3l9cy5/Of+XBbPbNmncrTTz/NUUcdFTPdUApzFBQUtBM4OqkTu/usYyN27/LZ7eRL3PiL6niKmWDFjdnIkTHp+au9Gfyw/2cWylX88rhfMv2cc3j22Wfp2TOy8+7EA+GO6vijoa6efeVV9Ohlrbs00OzjZgil5o3l/BwvkZSELRVIKWmuLGLf569SX/ozmYMmk9tvIilZ/dsV8At2v+GI4iiBYxO7du2iS1YqnTM6dVjmK5l4xrBGcsprYjr/5ueS/fxtWQFL9iZQVVXF1KlTWf/RX+jSJby/phXhY+PGjXRJ7CjkdXGTOrF7h9+uYsWadmIikLDwlyBsN/o+/NmzYV1X/lP4I1/3LWTV1lWMGjWKl+59icmTJztu38GIE0KnoCrBVDeVnodTuLWQvgPySEhIANoXs/SVg7On1mVIMNb2ZedQbiPeoji+RIY/IeGZV9O4dysVK96lbu96pGyhc59j6Dv5flyJHZ9toeK0yIneKW0t0NrayoUXXkh2djaPPfYYoCVCXnHFFfTo0YP09HTGjBnDv//9b8dsyM/PZ/jgHm3v9Qk0dXFj7J4y21UVrcO8QatC/OSyAk58cQ0Dz7iM9957j+LiYubOnavETZyTn5/PuOxujM2u6NA9lTqxe1sNHOPQ8B+ea2knbvwR7q4m4369vT7Y3cxvv36Xb/olcOONN1JYWMiKFSuUuAkDq8uS2nVhhZPmwh0MHNqnw/QLvsSNt5o4+sPbyZm+W/pltb28LjchIBJ2VOLaVk7VJ69Q9M6dJHfuRc9jbqb/qU+QffjUgOImlOOza5oIb0TvE9QCn3zyCSNGjOCFF17g/PPP57LLLmPy5Mn06NGDJUuWMHjwYFauXMnUqVORUnL++efbbsPGjRs5xC1wjOJGFzN6HRyrNXE8RU40DP3eU1XP7/71NbLncFaufJchQ4ZE2iRFmGhtbWXjxo08edQ4v+IGtMRiK/VvIHLixhefl37DguIlPDJ3DldddRUiikaIHExEoutqW8EuBgxtnxwfaPRUQVVCuykajDgVyfGFKWHjThxuqtlL8TfzcCWl0feEe0hMM9ctZ5dwcyqSExcRHCklLS0tNDc3I6XkH//4B4WFhbzzzjuMGDGC5ORkjjvuOObOncuyZcscsSE/P5/hQ3oEXtGN3j1llSOmJUY0slPT0MyUF7/i2KlXsHTpUiVuwsiSJUs49NBDueaaa0hPT2fcuHG8//77HHHEEeTm5oZlZNru3bvJzMykc2L74mfG2bRl7z7tRk2ZrY0TSXHjrXtqRfn3fFz6Fd9v/IGrr75aiZswsu3btTx93kw+euhJHpxwJi9cPIuNS7/kisn/x4VHTuO9Z//Dj1/9wLUnXcmzd8xj6ohzmH3WDXz9yUquO/VqLh5zAe89+58O7ZrNjxmS2cLWTbsYaBA4/sRNddNurwX+PLFLEPiK2Hib2TtgW4017PnqMdJ7/4Kex8w2JW78RYyCxYlITlwInFNOOYUNGzYwcOBATjnlFFasWMFpp53WYXbq8847j6eeesoRGzb+8Gk7gWOM3gAdivyFii50vImdUERQ8jTf9TpaWiWXvv4to04+m/vvv9/dN60IJxs2bGDEiBEUF2tzIl577bUsWLCAZcuW8ac//YnKSmd/Iebn51NTmtBOjOjiRk4Y7XU4uDHxWM+9icSQcF94syW/ehtvFn7KsrVfMnjw4AhYpSjduoOcgf246ZO3AVj08FNM/eu9XPLCY7z66CvU7q9hV8FO+gzpxz++1YoqP3fX37n9+Tu5/+1HeG3OK9RUBT91zraC3Qwa2seUcPGF17oxAbqUAuFvO8/95fVK8Du1gWxpoujruaT1GEnXob/2K+JDtdsMdoucuOiicrlcvPXWW23vP/zwQ446quNMpk6ydWc5g/pFZrJAuyM6ydMmeU18fuGrrVR0G8J/nn1W/ZqNEF26dOGaa65BCMGoUaOYMGECgwYNAiAzM5Pi4mKyspy7AW3dupXeyZqgMU6p4EvcGD/zNvLJKC48c3S8CY9Qojz6UHJf4kpf3tzawrxt/+HDT95n+PDhQe9PERqdOmfwi/PPQghB3iGDSDryMLr20UaqpaSn8cP2/aRnZvCri89ACMGAQwcxIq0Tef20dVIz0qgo3Ud6Znq7ds0mG+/aXkyfAeaj8oDlfCFvYsFXN1YowsLbLOAJWyqoWvwmroRksg+/wPZ9RgNxEcHxJDs7m9LSjnkue/fu5Z133rF9f1JKikqq6NlDcwZvXU9nTSmNyHxUVvAXvQH4YkspV1xxhRr2HUG6d+/eJi5dLheZmZntlre2tnrbzDaKiopIT+jc4fNA3VBGYWKcTsEb/iI8wUZ+jPNSBWJ3fQmprvSYqT4cr6R369Lm68IlSElPa7dctrbSqWsX1pRr9yOXEKRmeK5jvRYNQGNDE7U19WR17ejrZghm5msdY6TEatTEVyViX9SV5pM5cFKHyTGdjtT4w84oTlwKnOOPP57//ve/NDS0nxfqpZde4vnnn7d9f9XV1QgBGelaXoKeZAwwZG37uiDRLnJ0vImdgtLqtmiBIjJEOnJWVFREWkJG4BUdxKkuLl10lTSW0zc1upKdD07M+Lq2jt0jrcr27iM7twsul6vDKCpPPEdP6XNQOTk6yBuB8m6Mgke3rammmKT07u3Wi/WojZG4FDiXXHIJGRkZTJs2jYKCAmpqanjrrbd48MEHufvuu23fX1FREXndM70uKxjVvU3UzBjW2PbSiaYaOI1vLPZrz7j+3Vi+fHkYLVJEG0VFRaS5MtqGiBvzbzwRu3fhevsDrwX+7BApeht2iB1jRGlQWh92JZc5Hg1T2Etpg/nHWaBk49LiCnJ6+BcM1U2725KL99S62kZQhRK9CRZv4saMHZ26DaG+7GetjQhGbZwiLnJwPElLS2PZsmXcfvvtHHfccezbt4/Ro0fzzjvvMH78eNv3V1xcTF5ue4Gz4N0chqwtoWCU9gDQRU0wI6eihc4piTQ2NgZeURG3FBcX0yOhY16KMdfG9fYH/PCc75urE9GXQFM1mCnmp5PiSqZm337bbFOEjz119gx8KNtbQU5337Ni68LGKJQ8C/yFC3+Rm6LCFq9dVW1TNHTJpCUrKeqEjV3DxuNS4ICWq/DCCy+EZV+L/n0fow4LPLusLm4a31jsM5E3mjB2UzW+sZi1hZXMGjUqghYd3Jxwwgnk5+e3vX/mmWfaLfeWd2YnxcXFfPfVGh4aMQFo7FD3BtqLG+P0BuHAKF6sJiMbBdKu+mJ6d+qByxWXAe6YYMDYUVzz7ktt7399+w3tls9erOVSjj3vzA7rrC7T6uW8uuZNv/vwl2y8/LPvGH64/+74gqoEv11j+gPaya4qqyJAFztFhS20DOpC41tbyRh+ggOWRQdxK3DCRWVlJc++upxVC28GtPwbvXqx3j1lrHljFDWxIHJ06ptaWL2zgtGjO3ZFKA4OHn/8cYamHU7nxDSGHroHcHdPGaI32pBw711S4axz403smI0cFdTsoH9qniN2KcLD6rKkoIsC7i0q56N3lvHBqr+3fWasgeNZ80Yv7Dciq5EBOa1A+xFLdhWw8xRK/tr1lWA8IKe1LUdIbNhNU/kukrMH2GJfNKIETojMmzeP0088lEH9O07FoIsbI55RkWjDW3Jxw+ufMefznzn6+Mn06dNxKLAi/tm3bx/PP/88f+z7O8ZmV3iN3ojdu7ScnPUHbu7G6I1RYIQzumNG2OgiaElJJR/v/YYvV6tcs4OVfz49nzPOP4Hs3C4BE4xBEzYbKpPZUJncJh6cwA6htK3URVFhC67N+9i36k3SBv0CV0pa4A3DiJ0VjZXACZGFCxdy96yjgfbRG09xU9ot3WsUJ9rQu890ql75hGv+s4Yfm7oyf/68CFqmiCTLly9n9OjRnNoKI69IaBM33ioWDz20jE3rs32KF+MUD/q63pbBAQHk+bnncjtYULiVT8vf4aHHH2CU6op1HG9TGozIsi/Hz0wUx1s31bKPv+XBZ/7QJm78RW/GZDfx2pZ0R4WNVYzRG285OK31tZR99DDN1eV0P+NWS20HKz6sRJ/sRAmcEMnJyWF/zYHh6J7Vij2TiqNZ3OjoNiZPm8Q9W/dTkTeSL996i/T09ABbKuKVnJwc9u/fDz5cwPX2B+0qFvvCl4Axu76/5WbEjrGbzFhYcElJJV/KhSxavJDjjz8+YDsKZ/AUPXYKHrN0zc6kprquw+e+Eos9icQoKn/719/rxf4q3p2LSEii57n3IxID5xDZQbgEjSdK4IRIz5492VNcHmkzHGHVo+/y2vyfWLdunRI3Bzk9e/Zkz5494GXqMbF7lzux+IDA8KwY7E2o2N095RkN8oZnd9W3ZV2QUlI2eiM3HXuTEjdRhjG/JRiCieLk9OhKaYB7ui5sPLulPMWFMak30hQVtlC/aQ31P39L76l/o/WQ3Eib5DhCyuAqPYYTIUT0G6mIZrZLKQdE2ohAKD9X2IDydcXBgCk/jwmBYxdCiG+llGMjbYcdxNOxQPwdTySJt3MZT8cTT8cSDcTT+YynY4HoOJ7oyYxSKBQKhUKhsAklcBQKhUKhUMQdB5vAeS7SBthIPB0LxN/xRJJ4O5fxdDzxdCzRQDydz3g6FoiC4zmocnAUCoVCoVAcHBxsERyFQqFQKBQHAUrgKBQKhUKhiDuUwFEoFAqFQhF3xLzAEUJcIoTYJoSoFkIsFUIMc38+Wwixy/35EiHEcMM2pwohNgkhaoQQbwshOrs/dwkhXhdClAkhborAsVwrhNgjhKgSQnwohOjpz95oPpYAx+P1O4v244kk8eTnbhvixteVn9tLPPl6PPl5gOOJTl+XUsbsCxgKVAOnA6nAbcAaYBywBxgIpAAPA4vd23QFyoGz3f//G3jCvexU4A4gDfgQyAjjsRwOlLltzwDeAF4NYG9UHkuA4/H6nUX78Sg/V76u/Fz5+sHq57Hq67EewZkEfC6lXCSlrAPmAKMA6X7pc20loJ1kgN8Aq6WU86WU+4CHgAvcy4R73UT3/+EcYnYc8KGUcpWUshp4DTgsgL3Reizg+3i8fmdCiG5E9/FEknjyc4gvX1d+bi/x5Ovx5OcQi74eTgXogKLsAQwwvB+PpiQTgWc4cFHUAoe413kMeNSwTYp7nQy0Lru30FTq9WE+liQg2f1/Npo6fiqAvVF5LAGOx993FrXHE8lXPPl5AN+IOV9Xfq58PQjfiDk/D3A8UevrMT2buJSyWP9fCHEu2gVwK3A8cA4wBtgEPIKmNn8BZALbDW00CCGagUypqdKpYTsAA1LKJgAhxOVoBZLqgZOBS/BhL1F6LG5bvB6Pr+9MStkshIja44kk8eTnblvixteVn9tLPPl6PPm525aY8/VY76JCCJEjhFgA/A2YKaV8Cq2/71Up5Rr3SbwVGOsOmVWg9RPq2yejKc194be+I1LK59H6JP8IzEdTwr7sjepjgY7HI4RI8vGdQQwcT6SINz+H+PJ15ef2EW++Hk9+DrHl6zEtcIQQ6cBytBDXcCnl++5FtR6rNgMtQB2Qj5YspTMC2CS1vsOIIYT4kxDiIgC3LX8HugG78G1vVB4L+D2e7nj/ziCKjyeSxJOfQ3z5uvJze4knX48nP4cY9XWn++2cfAFXoCU3eX5+LFCEFs5MRQtnfigP9B2Wu9fpCiwE7o6SY1kHDAI6oWWir/Vnb7QeS4Dj8fqdRfvxRMG57HDOYtHPA/hGzPm68nNHzmeH8xaLvh5Pfh7geKLW1yN+0kI84U8BrWhq3vjqD8wACoBK4H2gh2G7M4GtaKHCl4GUKDiWROBx90VcCSwChgSyNxqPxd/x+PvOovl4Inwu48bP/flGIJuj8XiUn9t+PuPG1+PJz/0dTzT7uppsU6FQKBQKRdwR0zk4CoVCoVAoFN5QAkehUCgUCkXcoQSOQqFQKBSKuEMJHIVCoVAoFHFHzFYyFkJ0Ac5DiTSFRj3wppSyMdKGBIMQIhWYjvJnhX9agXekNq9PTCKEmAgcGmk7FFFPvpRyWSgNxOQoKiHEsOysAfkZYyeT0Cnd9vaPHF1te5sAx+Q1295mRo0zz/Pmb/IdaXf3162OtPvDjko2U0k+Fd2llHsd2YmDCCFOdLlSFye6QvPnXkmHB14pAP1TOofcRr/00O8r/TM8a7sFR4+eNSG3kTQk9HMiB/cNuY1KVzJvvbmYF1/6I6OPnClCbjACCCFWPfnUrUcnJJjT8g0tFabbrmy0dkpK6s3/nthRk2B63aI68+sClFabt6Oqwto91FVq/jpylVusv2dh/Zq64sArGajfvxGR3I2Wqp8SpZQt1gzTiLkIzknHzJZds/pxzOjLKJsw1pF9jJtS6ki7Fw+zX4zklId+8/ZGY0KDI+3+uNV+kQcwdGcN62QZtTSX3CvGcadcFXM3f5dIJjExM6Q2uqccFrIdh2V0D7mNMd1CF7Jjs80/2Pwx9NCykNtInRj6OZETRofeRu8+nHnmMVxy8QNcd90W+bvf3R9zfg4w8/KzSUw09/ipbtptut09tdYCoAVV5oXI6rIk0+tuqEy2ZIer1LzdrYXWnvUJW8xfRwk7Ki21LRLMr99cudFS2y0p3WmuWoerU89mIUS2lLI88FbtiZlwuBBC/OKI6fKnTR9x8i9voWtWv0ibpIgyDhfZXMXhvMQGrhUjYy80qVCYYNiwfnz62eO8//4KZs2aIt3z+ygUcYUQLpKyRpKQMQSR1LUsJe80y/f0mBA4QoiUwX2Pba2q3sPkX95Mp5TQfuUq4pc8kcZsjmQZhZwjBkkhREz+wlUo/JGRkcobb95Fv/55HHf8qAYhRM9I26RQOEFCam+Sso+had83JGePtyRyol7gCCHyemQPq8/uMpBxIy8lwRVzvWqKMJMmkriekdTRzFi6t7on8FMo4gohBH/4w/nccccljBo1uHDpsrkqaqmIS1xJnUnOnURL/R4SOw81HbWMeoEDzEpPy2HYwMmoH+MKs7iE4FwGU0EDwLmRtkehcIoTTxzNzTdfwLXXPB5pUxQKxxCuRJK6Hk1rfQnAyWa2iQWBc09iQjJfrnmBlpamSNuiiBGqZRNPsJbR5AC8Gml7FAonkFLyxBP/5rnnP2Dduq19Im2PQuEUrU37ady7mITOw5FSLjSzTdQLHCll48ati0V214F88tUj1NXbM7JCEb/sljXMYQ0n0Ze3ZYGQsVgLQaEIQHV1HRdNv48tmwv5YtkPKVJK88ONFIoYoqVuN01lK0jqOpamcvMjZKNe4OisWvtPMWrYOXz61RzKKrZF2hxFlPK9LOV5fqIwsf6wv8m1qk9TEZds2rSLk076A6eddjTz5r0nYrXApULhDyklTZU/0lJdgGyqyGko+p+le3rMCByAj1c8KPZV7Riycu3LbN29MtLmKKIIKSUfye18xk52UJ3T1NS0PtI2KRRO8P6C5Uy74B6eeeYmLr30QSXiFXGJbGmgqfQLQNJavydRSmm5oFWsVjLO7JM3urKuazqJqaFXGPWk/4B629sEGNYlqGKMfklpcKZwXmtBoSPtlm92ppLxptJq8kjjM3YlSyljLllLCDFRiOQvXK6UkNrplhB6tdzcpNSQ28hJCf2+kpNiT1Aiq2vo13NCXujnhB7ZITdR0SSpqaln0aJVQRU+iwaEEMtn/P6sCcJl7vd1c6v5Yqa1zdb0XmWT+fXLLFQ93tdoLXZQXW/ejtpaa9eWqDJftFVUW7vmRI35W219o7X0kqa6QhKzjqBx77KgRXxMChwAIUQCcDcw34HmzwHeU+3GVLv1wAQp5XM2txsW3PV67sUZfw4Gp757qyg72tMKHC2lfDbShgSLu2bPNTh3PmPpvqXa9s2JUso5oTQQswIHQAjxrZTS9vkaVLuq3UgQTfZHiy3Kjo5Eky3B4uQxxOL9RbXtTNsxlYOjUCgUCoVCYQYlcBQKhUKhUMQdsS5wnMq3UO2qdiNBNNkfLbYoOzoSTbYEi5PHEIv3F9W2A23HdA6OQqFQKBQKhTdiPYKjUCgUCoVC0YGYFDhCiFOFEJuEEDVCiLeFELYUwxFCLBVC1BteL9nQ5hdCiPHu/4UQ4q9CiEohRKEQ4iob2hwshGj0sPvEINq8RAixTQhR7T4Pw0K110ebIdsrhLhWCLFHCFElhPhQCNHTrnMbCZzyZz/7s/RdCyEGCiGWCyHqhBCrhBAjbLbnMCFEgxAiz/3+FiFEqft1j2G9bkKIj9zn6SchxEQbbRgkhFjibnu9EOKESNgihJgthNjl/m6WCCGGR/K7sRsnfF04c4+1/X5oaNvx+5fZa8pim0uFx/PRxnNi6fozjZQypl5AV6AcONv9/7+BJ2xqeyeQYlNbpwLPABIY7/5sJvAD0Bs4AigFRofY5inAayHaOhSoBk4HUoHbgDWh2OunzZDsBQ4HyoBxQAbwBtpkmiGd23j0Z7u+a+AL4H4gE5gNfG+jPQnAl26fzgMmA7uAEUB/oAA4273uq8A/gC7ANKAISLbJjm+BO4F04BJgd7htcfv0HmAgkAI8DCyO1HcT7b6OA/fYYK8RC207fv+yck1ZbLfD89Euu61ef6bbjbTTB3EiLgE+Nbw/Ciiyod1OwFYb7fwL8AKw33DxfQ5cZFhnLvBQiG1eCdwToq1XAh8Y3iehFRQL2l4/bf4xFHuB/wP+aXh/BrA61HMbqZdT/mzXdw30Q7vZp7g/dwEVwHCb7JkN/NVwM34Z+LNh+U3Am2gP/Dqgj2HZj8BpNtgwBtiGOyfR/dmEcNsCjAUK0R6wKcAc4D+R+m6i3dd93A9Dvg84cT80bOP4/cvsNWWxTa/PR5vOiaXrz0rbsdhFNRJNTeusA3oIITJCbHcAkCyEWC2EKBdCvKeH94JBSnmHlPIyNLWu42n7T8CQENscCJzuDmvvEELcGoS584FZhvdHAbUh2uurzdwQ7X0euBxACJENTEf7tRLSuY0gTvmzL6x+16OADVLKBgApZSuQjw3nVghxCDADuMPwsS87DgGqpZS7vCwLlaOATcA/3aHwb4DGcNsipfwWeB/4Ga0y9/8Bt/uxw7HvxiFs9XUn7rFunLgf6jh6/7J4TVlhAN6fj3a0bfX6M00sCpxMoFJ/4764m92fh0JXYD1wEdqXWYkWOrSTdraj/fII1W4JfIYW+vw1cJUQYrqlBqQsllJuAxBCnAt8ANwair1+2mwKxV4pZZOUslEIcTlaOPRstF/VTpzbcOCUP3sliO/a83PjsqARQriAF4HrpZTGyYbCaoebHLRw+P+Avmi/HOeH2xYhxGS00vdjgM5oXWCvhdsOBwmHr4d8H3Difmho27H7VxDXlBV8PR/taNvq9WeaRIuGRAMVaP2iAAghktGOY18ojUopvwJONrR7M1AshEiVUtaF0raBdrYDaYRu923G9oUQT6GFPV+z0o4QIgft4jgKmCmlfF8IcVco9npr02OVoO2VUj4vhPgX2q+h+WihelvPbZhwxJ/9YfG79vRZ47JQuAbYLKX8xONzX9eIU3bo/Cil1H3waSHE3Wg33nDacjbwqpRyDYA7ulmJJgIicU7sJhy+bss91on7oRGH7l9Wrykr9np9PqLlVNlxTqxcf6aJxQhOPtqvf50RwKZQRYgQ4ldCiJMMHyWh3VjsmdJYw9P2Q4G1oTQohLjdfTHqJAHmp9/V2kgHlqOFeocbhEjQ9vpqM1R7hRB/EkJcBOD+zv8OdENLRrP13IYJR/zZF0F81xuBEe5fh/qvxGFoiYWhcAIwTR+R4f5sG1oI2psd24CuQohuXpaFyjY0PwTaJj51Af8Nsy21Hu+bgRbgex92OPXdOEU4fD3ke6wT90ND207ev07A2jVlxW5fz0c7nmnbsHb9mSeYJKZIvoBsNNV4LFrYbCFwtw3tXoSWpT0cLQz2CiGOTnK3u40DCXBXASvQHHocUAIMDbHNT9Eukky0LPadwMkW27sC+NzL50Hb66fNkOx1t7sOGISW+Hab2+ltObfx4s92ftfASuBmtF9TdwFLHLBLT4g8Da0/vjfaw3orcIJ7nTeBJ912zHRfrwk27Lsr2q/cy9xtzwK+QxtFEzZb3D5QhNZFlQo8AnwY6e8m2n0dm++xwVwjm4qShwAAAT5JREFUFtsOy/3LzDVloS2vz0ebzonl689025F2+iC/uDPdB1uN1l9n19Duv7i/oL3uL6+rDW0aL74EYB5aX+JO4EIb2uyH1ndZ7XaGq4No7ym0UQLNHq/+wdoboM2g7UULaT+O9iCoBBah/UKx5dzGkz/b9V2jJdWuQhs5tAzo74BdEshz/38H2oOwBPiDYZ0ewMduO9YAR9q4/6OBb4AqtByxgZGwBS1BtMDt2++79+PTt8Px3US7r2PzPdaJ+6Gh7bDdv8xcUxbb6/B8tMtuq9ef2ZeaqkGhUCgUCkXcEYs5OAqFQqFQKBR+UQJHoVAoFApF3KEEjkKhUCgUirhDCRyFQqFQKBRxhxI4CoVCoVAo4g4lcBQKhUKhUMQdSuAoFAqFQqGIO5TAUSgUCoVCEXcogaNQKBQKhSLu+H/8qbW4z1GvpQAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "levels = numpy.arange(0,10.1,1.)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "ax1.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot1 = ax1.contourf(xlong, xlat, raintot_400_time_mean_landmask*24., \\\n", + " levels=levels, \\\n", + " cmap='gist_earth_r', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "levels = numpy.arange(0,3.51,0.25)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "ax2.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot2 = ax2.contourf(xlong, xlat, etran_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "levels = numpy.arange(0,151,25)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "ax3.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot3 = ax3.contourf(xlong, xlat, lh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='GnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "levels = numpy.arange(0,31,5)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "ax4.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot4 = ax4.contourf(xlong, xlat, t2_400_time_mean_landmask-273.15, \\\n", + " levels=levels, \\\n", + " cmap='Spectral_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "levels = numpy.arange(0,801,100)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "ax5.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot5 = ax5.contourf(xlong, xlat, pblh_400_time_mean_landmask, \\\n", + " levels=levels, \\\n", + " cmap='magma', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# prw\n", + "\n", + "levels = numpy.arange(0,61,5)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "ax6.set_extent([xlong.min(), xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "contour_plot6 = ax6.contourf(xlong, xlat, prw_400_time_mean, \\\n", + " levels=levels, \\\n", + " cmap='YlGnBu', extend='max', transform=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='mm day$^{\\,-1}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='W m$^{\\,-2}$', x=0.95, y=0.95, \\\n", + " ha='right', va='top', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s=DEGREE_SIGN+'C', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='m', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='mm', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks([numpy.arange(-1,1.1,0.5)])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,1,2,3])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(280,301,5))\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([0,200,400,600,800])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-0.2,0.21,0.1))\n", + "\n", + "#fig.savefig(run_info+'_figure2.pdf', transparent=True, bbox_inches='tight')\n", + "fig.savefig('png_files/CLIM_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# as a percent" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2018-07-01T22:07:12.349746Z", + "start_time": "2018-07-01T22:06:59.400044Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: divide by zero encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: RuntimeWarning: invalid value encountered in true_divide\n", + " if __name__ == '__main__':\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:31: RuntimeWarning: invalid value encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: divide by zero encountered in true_divide\n", + "/export/home/blangenb/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:40: RuntimeWarning: invalid value encountered in true_divide\n" + ] + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# MONTHLY MEAN PLOTS\n", + "\n", + "fig = mp.figure(figsize=(8,6))\n", + "fontsize = 12\n", + "lon_offset = 25.\n", + "\n", + "# RAINTOT\n", + "\n", + "perc_diff = (raintot_diffs_time_mean_landmask/raintot_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-25,26,2.5)\n", + "ax1 = fig.add_subplot(231, projection=cartopy.crs.PlateCarree())\n", + "ax1.gridlines(ylocs=[0], color='0.25')\n", + "ax1.coastlines(resolution='110m')\n", + "contour_plot1 = ax1.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='BrBG', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-80, -10], width=5, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "ax1.add_patch(matplotlib.patches.Rectangle(xy=[-60, -10], width=10, height=20,\n", + " facecolor='none',\n", + " edgecolor='0.1',\\\n", + " linewidth=2,\\\n", + " transform=cartopy.crs.PlateCarree(), zorder=2) )\n", + "\n", + "# DELTA TRANSPIRATION\n", + "\n", + "perc_diff = (etran_diffs_time_mean_landmask/etran_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-40,41,5)\n", + "ax2 = fig.add_subplot(232, projection=cartopy.crs.PlateCarree())\n", + "ax2.gridlines(ylocs=[0], color='0.25')\n", + "ax2.coastlines(resolution='110m')\n", + "contour_plot2 = ax2.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# LH\n", + "\n", + "perc_diff = (lh_diffs_time_mean_landmask/lh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-15,16,2.5)\n", + "ax3 = fig.add_subplot(233, projection=cartopy.crs.PlateCarree())\n", + "ax3.gridlines(ylocs=[0], color='0.25')\n", + "ax3.coastlines(resolution='110m')\n", + "contour_plot3 = ax3.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# T2\n", + "\n", + "perc_diff = (t2_diffs_time_mean_landmask/(t2_400_time_mean_landmask-273.15))*100.\n", + "levels = numpy.arange(-3,3.1,0.25)\n", + "ax4 = fig.add_subplot(234, projection=cartopy.crs.PlateCarree())\n", + "ax4.gridlines(ylocs=[0], color='0.25')\n", + "ax4.coastlines(resolution='110m')\n", + "contour_plot4 = ax4.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='PuOr_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PBLH\n", + "\n", + "perc_diff = (pblh_diffs_time_mean_landmask/pblh_400_time_mean_landmask)*100.\n", + "levels = numpy.arange(-20,21,2.5)\n", + "ax5 = fig.add_subplot(235, projection=cartopy.crs.PlateCarree())\n", + "ax5.gridlines(ylocs=[0], color='0.25')\n", + "ax5.coastlines(resolution='110m')\n", + "contour_plot5 = ax5.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdGy_r', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "# PRW\n", + "\n", + "perc_diff = (prw_diffs_time_mean/prw_400_time_mean)*100.\n", + "levels = numpy.arange(-2,2.1,0.25)\n", + "ax6 = fig.add_subplot(236, projection=cartopy.crs.PlateCarree())\n", + "ax6.gridlines(ylocs=[0], color='0.25')\n", + "ax6.coastlines(resolution='110m')\n", + "contour_plot6 = ax6.contourf(xlong, xlat, perc_diff, \\\n", + " levels=levels, \\\n", + " cmap='RdBu', extend='both', transform=cartopy.crs.PlateCarree())\n", + "\n", + "#ax1.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax2.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax3.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax4.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax5.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "#ax6.set_extent([xlong.min()+lon_offset, xlong.max(), xlat.min(), xlat.max()], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax2.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax3.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax4.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax5.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "ax6.set_extent([273,329,-30,15], crs=cartopy.crs.PlateCarree())\n", + "\n", + "ax1.set_xticks([-360+280,-360+300,-360+320])\n", + "ax1.set_yticks([-20,-10,0,10])\n", + "ax1.tick_params(labelsize=fontsize)\n", + "ax1.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax1.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax2.set_xticks([-360+280,-360+300,-360+320])\n", + "ax2.set_yticks([-20,-10,0,10])\n", + "ax2.tick_params(labelsize=fontsize)\n", + "ax2.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax2.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax3.set_xticks([-360+280,-360+300,-360+320])\n", + "ax3.set_yticks([-20,-10,0,10])\n", + "ax3.tick_params(labelsize=fontsize)\n", + "ax3.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax3.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax4.set_xticks([-360+280,-360+300,-360+320])\n", + "ax4.set_yticks([-20,-10,0,10])\n", + "ax4.tick_params(labelsize=fontsize)\n", + "ax4.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax4.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax5.set_xticks([-360+280,-360+300,-360+320])\n", + "ax5.set_yticks([-20,-10,0,10])\n", + "ax5.tick_params(labelsize=fontsize)\n", + "ax5.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax5.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "ax6.set_xticks([-360+280,-360+300,-360+320])\n", + "ax6.set_yticks([-20,-10,0,10])\n", + "ax6.tick_params(labelsize=fontsize)\n", + "ax6.set_xticklabels(['$280$'+DEGREE_SIGN,'$300$'+DEGREE_SIGN,'$320$'+DEGREE_SIGN])\n", + "ax6.set_yticklabels(['$-20$'+DEGREE_SIGN,'$-10$'+DEGREE_SIGN,'$0$'+DEGREE_SIGN,'$10$'+DEGREE_SIGN])\n", + "\n", + "fig.tight_layout(h_pad=0.5,w_pad=0.5)#h_pad=7, w_pad=3)\n", + "fig.canvas.draw_idle()\n", + "\n", + "title = ax1.text(s='(a) $\\Delta$ precipitation', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax1.transAxes)\n", + "title = ax2.text(s='(b) $\\Delta$ transpiration', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax2.transAxes)\n", + "title = ax3.text(s='(c) $\\Delta$ latent cooling', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax3.transAxes)\n", + "title = ax4.text(s='(d) $\\Delta$ 2m air temperature', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax4.transAxes)\n", + "title = ax5.text(s='(e) $\\Delta$ boundary layer ht.', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax5.transAxes)\n", + "title = ax6.text(s='(f) $\\Delta$ column water vapor', x=0, y=1.02, ha='left', va='bottom', fontsize=fontsize, transform=ax6.transAxes)\n", + "\n", + "ax1.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax1.transAxes)\n", + "ax2.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax2.transAxes)\n", + "ax3.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax3.transAxes)\n", + "ax4.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax4.transAxes)\n", + "ax5.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax5.transAxes)\n", + "ax6.text(s='%', x=0.05, y=0.03, \\\n", + " ha='left', va='bottom', \\\n", + " fontsize=fontsize, \\\n", + " transform=ax6.transAxes)\n", + "\n", + "\n", + "cbar_thickness=0.025\n", + "cbar_yshift=-0.08\n", + "\n", + "bbox_position = ax1.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot1, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax2.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot2, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-40,-20,0,20,40])\n", + "\n", + "bbox_position = ax3.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot3, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "#cbar.set_ticks(numpy.arange(-20,21,10))\n", + "\n", + "bbox_position = ax4.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot4, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-3,-2,-1,0,1,2,3])\n", + "\n", + "bbox_position = ax5.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot5, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-20,-10,0,10,20])\n", + "\n", + "bbox_position = ax6.get_position()\n", + "cbar_axes = fig.add_axes([bbox_position.x0, bbox_position.y0+cbar_yshift, bbox_position.width, cbar_thickness])\n", + "cbar = mp.colorbar(contour_plot6, orientation='horizontal', cax=cbar_axes)\n", + "cbar_axes.tick_params(labelsize=fontsize)\n", + "cbar.set_ticks([-2,-1,0,1,2])\n", + "\n", + "fig.savefig('png_files/FRACTIONAL_figure2.X_'+run_info+'.png', dpi=600, transparent=True, bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, 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"nbformat_minor": 2 +} diff --git a/gp3_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb b/gp3_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb index 729612d..d27d341 100644 --- a/gp3_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb +++ b/gp3_figure_2_and_5_FMAASO_processing_LH_QFX_RAIN_T2_ETRAN_ECAN_EDIR.ipynb @@ -1496,7 +1496,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.6.5" }, "varInspector": { "cols": {