\n",
" \n",
- " Dashboard: proxy/8787/status\n",
+ " Dashboard: proxy/42875/status\n",
" | \n",
" \n",
" Workers: 0\n",
@@ -161,11 +207,11 @@
" \n",
" \n",
" Scheduler\n",
- " Scheduler-90b234ab-e030-45f6-88fd-7ba3b8437702 \n",
+ " Scheduler-a02e991b-e16b-47cf-bef1-784699ad3153 \n",
" \n",
" \n",
" \n",
- " Comm: tcp://10.12.206.48:41665\n",
+ " Comm: tcp://10.12.206.55:38184\n",
" | \n",
" \n",
" Workers: 0\n",
@@ -173,7 +219,7 @@
" | \n",
" \n",
" \n",
- " Dashboard: proxy/8787/status\n",
+ " Dashboard: proxy/42875/status\n",
" | \n",
" \n",
" Total threads: 0\n",
@@ -211,16 +257,16 @@
""
],
"text/plain": [
- ""
+ ""
]
},
- "execution_count": 4,
+ "execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "mem = 35 # GB\n",
+ "mem = 45 # GB\n",
"dask.config.set({'distributed.dashboard.link': 'proxy/{port}/status'})\n",
"cluster = PBSCluster(\n",
" memory=f'{mem} GB',\n",
@@ -232,14 +278,14 @@
" log_directory='./dask-logs',\n",
")\n",
"\n",
- "cluster.scale(feisty_config['num_workers'])\n",
+ "cluster.scale(feisty_config_in['num_workers'])\n",
"client = Client(cluster)\n",
"client"
]
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 6,
"id": "e6fb5dba-96e0-40fb-b638-b856c06c5a16",
"metadata": {},
"outputs": [
@@ -247,15 +293,19 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "CPU times: user 16.4 s, sys: 1.63 s, total: 18 s\n",
- "Wall time: 7min 5s\n"
+ "Waiting for 72 workers (requested 72 total)\n",
+ "CPU times: user 514 ms, sys: 37.7 ms, total: 552 ms\n",
+ "Wall time: 10.8 s\n"
]
}
],
"source": [
"%%time\n",
"\n",
- "client.wait_for_workers(feisty_config['num_workers'])"
+ "min_workers = feisty_config_in.get('min_workers', feisty_config_in['num_workers'])\n",
+ "worker_cnt = int(np.minimum(min_workers, feisty_config_in['num_workers']))\n",
+ "print(f\"Waiting for {worker_cnt} workers (requested {feisty_config_in['num_workers']} total)\")\n",
+ "client.wait_for_workers(worker_cnt)"
]
},
{
@@ -266,9 +316,17 @@
"## Run the model"
]
},
+ {
+ "cell_type": "raw",
+ "id": "0364a08f-d626-4553-9309-90482e8ef17b",
+ "metadata": {},
+ "source": [
+ "ds = xr.open_dataset('/glade/campaign/cgd/oce/projects/FOSI_BGC/HR/g.e22.TL319_t13.G1850ECOIAF_JRA_HR.4p2z.001/ocn/proc/tseries/day_1/g.e22.TL319_t13.G1850ECOIAF_JRA_HR.4p2z.001.pop.h.nday1.TEMP_mean_150m.19810102-19820101.nc')"
+ ]
+ },
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 7,
"id": "b4c5754b-89a9-48fb-8e9c-ea53551d2173",
"metadata": {},
"outputs": [
@@ -277,8 +335,7 @@
"output_type": "stream",
"text": [
"Configuring FEISTY for 1980...\n",
- "Running FEISTY for year 1980...\n",
- "Starting template generation at 15:05:49\n",
+ "Starting template generation at 12:44:41\n",
"Writing /glade/scratch/mlevy/feisty_output/hist/highres.1980.zarr\n",
"Calling to_zarr...\n",
"Starting with biomass\n",
@@ -287,22 +344,614 @@
"Writing /glade/scratch/mlevy/feisty_output/rest/highres.1980-12-31.zarr\n",
"Calling to_zarr...\n",
"Configuring FEISTY for 1981...\n",
- "Running FEISTY for year 1981...\n",
- "Starting template generation at 15:22:31\n"
+ "Starting template generation at 12:59:13\n",
+ "Writing /glade/scratch/mlevy/feisty_output/hist/highres.1981.zarr\n",
+ "Calling to_zarr...\n",
+ "Starting with biomass\n",
+ "Writing fish_yield to disk\n",
+ "Writing production to disk\n",
+ "Writing /glade/scratch/mlevy/feisty_output/rest/highres.1981-12-31.zarr\n",
+ "Calling to_zarr...\n",
+ "Configuring FEISTY for 1982...\n",
+ "Starting template generation at 13:13:59\n",
+ "Writing /glade/scratch/mlevy/feisty_output/hist/highres.1982.zarr\n",
+ "Calling to_zarr...\n",
+ "Starting with biomass\n",
+ "Writing fish_yield to disk\n",
+ "Writing production to disk\n",
+ "Writing /glade/scratch/mlevy/feisty_output/rest/highres.1982-12-31.zarr\n",
+ "Calling to_zarr...\n",
+ "CPU times: user 3min 40s, sys: 12.8 s, total: 3min 52s\n",
+ "Wall time: 43min 46s\n"
]
+ },
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ " <xarray.DataArray 'biomass' (time: 1095, group: 9, nlat: 2400, nlon: 3600)>\n",
+ "dask.array<concatenate, shape=(1095, 9, 2400, 3600), dtype=float64, chunksize=(365, 9, 8, 1200), chunktype=numpy.ndarray>\n",
+ "Coordinates:\n",
+ " * time (time) object 1980-01-01 00:00:00 ... 1982-12-31 00:00:00\n",
+ " * group (group) object 'Sf' 'Sp' 'Sd' 'Mf' ... 'Lp' 'Ld' 'benthic_prey'\n",
+ " * nlat (nlat) int64 0 1 2 3 4 5 6 7 ... 2393 2394 2395 2396 2397 2398 2399\n",
+ " * nlon (nlon) int64 0 1 2 3 4 5 6 7 ... 3593 3594 3595 3596 3597 3598 3599 dask.array<chunksize=(365, 9, 8, 1200), meta=np.ndarray> \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | \n",
+ " Array | \n",
+ " Chunk | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " Bytes | \n",
+ " 634.40 GiB | \n",
+ " 240.60 MiB | \n",
+ " \n",
+ " \n",
+ " \n",
+ " Shape | \n",
+ " (1095, 9, 2400, 3600) | \n",
+ " (365, 9, 8, 1200) | \n",
+ " \n",
+ " \n",
+ " Dask graph | \n",
+ " 2700 chunks in 4 graph layers | \n",
+ " \n",
+ " \n",
+ " Data type | \n",
+ " float64 numpy.ndarray | \n",
+ " \n",
+ " \n",
+ " \n",
+ " | \n",
+ " \n",
+ " \n",
+ " | \n",
+ " \n",
+ " time (time) object 1980-01-01 00:00:00 ... 1982-12-... array([cftime.DatetimeNoLeap(1980, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
+ " cftime.DatetimeNoLeap(1980, 1, 2, 0, 0, 0, 0, has_year_zero=True),\n",
+ " cftime.DatetimeNoLeap(1980, 1, 3, 0, 0, 0, 0, has_year_zero=True), ...,\n",
+ " cftime.DatetimeNoLeap(1982, 12, 29, 0, 0, 0, 0, has_year_zero=True),\n",
+ " cftime.DatetimeNoLeap(1982, 12, 30, 0, 0, 0, 0, has_year_zero=True),\n",
+ " cftime.DatetimeNoLeap(1982, 12, 31, 0, 0, 0, 0, has_year_zero=True)],\n",
+ " dtype=object) group (group) object 'Sf' 'Sp' ... 'Ld' 'benthic_prey' array(['Sf', 'Sp', 'Sd', 'Mf', 'Mp', 'Md', 'Lp', 'Ld', 'benthic_prey'],\n",
+ " dtype=object) nlat (nlat) int64 0 1 2 3 4 ... 2396 2397 2398 2399 array([ 0, 1, 2, ..., 2397, 2398, 2399]) nlon (nlon) int64 0 1 2 3 4 ... 3596 3597 3598 3599 array([ 0, 1, 2, ..., 3597, 3598, 3599])
PandasIndex PandasIndex(CFTimeIndex([1980-01-01 00:00:00, 1980-01-02 00:00:00, 1980-01-03 00:00:00,\n",
+ " 1980-01-04 00:00:00, 1980-01-05 00:00:00, 1980-01-06 00:00:00,\n",
+ " 1980-01-07 00:00:00, 1980-01-08 00:00:00, 1980-01-09 00:00:00,\n",
+ " 1980-01-10 00:00:00,\n",
+ " ...\n",
+ " 1982-12-22 00:00:00, 1982-12-23 00:00:00, 1982-12-24 00:00:00,\n",
+ " 1982-12-25 00:00:00, 1982-12-26 00:00:00, 1982-12-27 00:00:00,\n",
+ " 1982-12-28 00:00:00, 1982-12-29 00:00:00, 1982-12-30 00:00:00,\n",
+ " 1982-12-31 00:00:00],\n",
+ " dtype='object', length=1095, calendar='noleap', freq='D')) PandasIndex PandasIndex(Index(['Sf', 'Sp', 'Sd', 'Mf', 'Mp', 'Md', 'Lp', 'Ld', 'benthic_prey'], dtype='object', name='group')) PandasIndex PandasIndex(Int64Index([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9,\n",
+ " ...\n",
+ " 2390, 2391, 2392, 2393, 2394, 2395, 2396, 2397, 2398, 2399],\n",
+ " dtype='int64', name='nlat', length=2400)) PandasIndex PandasIndex(Int64Index([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9,\n",
+ " ...\n",
+ " 3590, 3591, 3592, 3593, 3594, 3595, 3596, 3597, 3598, 3599],\n",
+ " dtype='int64', name='nlon', length=3600))
"
+ ],
+ "text/plain": [
+ "\n",
+ "dask.array\n",
+ "Coordinates:\n",
+ " * time (time) object 1980-01-01 00:00:00 ... 1982-12-31 00:00:00\n",
+ " * group (group) object 'Sf' 'Sp' 'Sd' 'Mf' ... 'Lp' 'Ld' 'benthic_prey'\n",
+ " * nlat (nlat) int64 0 1 2 3 4 5 6 7 ... 2393 2394 2395 2396 2397 2398 2399\n",
+ " * nlon (nlon) int64 0 1 2 3 4 5 6 7 ... 3593 3594 3595 3596 3597 3598 3599"
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
}
],
"source": [
"%%time\n",
"\n",
- "nyears = 2\n",
+ "start_year = 1980\n",
+ "nyears = 3\n",
"ds_list = list()\n",
- "for year in range(1980, 1980 + nyears):\n",
+ "for year in range(start_year, start_year + nyears):\n",
+ " feisty_config = modify_forcing_dict(feisty_config_in, year)\n",
" print(f'Configuring FEISTY for {year}...')\n",
"\n",
" # Start and End dates\n",
" feisty_config['start_date'] = f'{year}-01-01'\n",
" feisty_config['end_date'] = f'{year}-12-31'\n",
+ " # feisty_config['end_date'] = f'{year}-01-05'\n",
"\n",
" # Initialize from restart (unless this is first year)\n",
" previous_restart = f'highres.{year-1}-12-31.zarr'\n",
@@ -319,7 +968,11 @@
" feisty_config['output']['rest_file'] = f'highres.{year}-12-31.zarr'\n",
"\n",
" # map_blocks lets us run in parallel over our dask cluster\n",
- " print(f'Running FEISTY for year {year}...')\n",
+ " # for temp_file in feisty_config['forcing']['streams']:\n",
+ " # with open(temp_file) as f:\n",
+ " # temp_dict = yaml.safe_load(f)\n",
+ " # print(temp_dict['files'])\n",
+ " # print(f'Running FEISTY for year {year}...')\n",
" ds_list.append(feisty.config_and_run_from_yaml(feisty_config))\n",
"\n",
"ds_out = xr.concat(ds_list, dim='time')\n",
@@ -331,7 +984,7 @@
"id": "8938bdd5-2f5d-4820-b859-94a737c40fec",
"metadata": {},
"source": [
- "### Plotting\n",
+ "\n",
"\n",
"Make a plot of `biomass` over time at a specified column,\n",
"then do the same for `fish_yield`"
@@ -339,7 +992,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 8,
"id": "b14d8e3b-e4c2-4882-8154-61235b6298dc",
"metadata": {},
"outputs": [
@@ -347,8 +1000,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "CPU times: user 136 ms, sys: 12.1 ms, total: 148 ms\n",
- "Wall time: 217 ms\n"
+ "CPU times: user 204 ms, sys: 22.5 ms, total: 227 ms\n",
+ "Wall time: 422 ms\n"
]
},
{
@@ -357,13 +1010,13 @@
"Text(0.5, 0.98, 'biomass at (91, 3175)')"
]
},
- "execution_count": 10,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
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