plotsBasins.ipynb

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    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "from matplotlib.dates import DateFormatter\n",
    "import datetime\n",
    "import os\n",
    "\n",
    "\n",
    "plt.rcParams['figure.figsize'] = (10, 4)"
   ]
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   "source": [
    "file='./data/sstm_anom_GO.nc'"
   ]
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   "source": [
    "ds = xr.open_dataset(file)"
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   "source": [
    "ds = ds.sel(lat = slice( 0, 80))"
   ]
  },
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   "id": "9e8ed113-0d2c-4092-be4b-a8e046ca937f",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;basin&#x27; (lat: 180, lon: 360)&gt;\n",
       "[64800 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n",
       "    Z        float32 0.0\n",
       "  * lon      (lon) float32 0.5 1.5 2.5 3.5 4.5 ... 355.5 356.5 357.5 358.5 359.5\n",
       "Attributes:\n",
       "    long_name:  basin code\n",
       "    CLIST:      Atlantic Ocean\\nPacific Ocean \\nIndian Ocean\\nMediterranean S...\n",
       "    valid_min:  1\n",
       "    valid_max:  58\n",
       "    scale_min:  1\n",
       "    units:      ids\n",
       "    scale_max:  58</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'basin'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 180</li><li><span class='xr-has-index'>lon</span>: 360</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ed983d3f-a76b-4532-9e3d-22522afbade2' class='xr-array-in' type='checkbox' checked><label for='section-ed983d3f-a76b-4532-9e3d-22522afbade2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[64800 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-defc3708-d20f-47cd-9190-3bdc51a1bffc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-defc3708-d20f-47cd-9190-3bdc51a1bffc' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.5 -88.5 -87.5 ... 88.5 89.5</div><input id='attrs-024ed448-7d58-4e4a-bd7c-70f3c21b1aca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-024ed448-7d58-4e4a-bd7c-70f3c21b1aca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0d2ba86-78f6-43ea-a331-d5f66c626cf8' class='xr-var-data-in' type='checkbox'><label for='data-d0d2ba86-78f6-43ea-a331-d5f66c626cf8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>pointwidth :</span></dt><dd>1.0</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>gridtype :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>degree_north</dd></dl></div><div class='xr-var-data'><pre>array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5,\n",
       "       -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5,\n",
       "       -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5,\n",
       "       -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5,\n",
       "       -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5,\n",
       "       -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5,\n",
       "       -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5,\n",
       "       -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5,\n",
       "        -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,  -1.5,  -0.5,\n",
       "         0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,   9.5,\n",
       "        10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,  18.5,  19.5,\n",
       "        20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,  28.5,  29.5,\n",
       "        30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,  38.5,  39.5,\n",
       "        40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,  48.5,  49.5,\n",
       "        50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,  58.5,  59.5,\n",
       "        60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,  68.5,  69.5,\n",
       "        70.5,  71.5,  72.5,  73.5,  74.5,  75.5,  76.5,  77.5,  78.5,  79.5,\n",
       "        80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,  89.5],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-1655862d-22ff-44fa-b646-8c0886202c03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1655862d-22ff-44fa-b646-8c0886202c03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05587dc6-44de-43b5-b2a7-4e1627a64d8c' class='xr-var-data-in' type='checkbox'><label for='data-05587dc6-44de-43b5-b2a7-4e1627a64d8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>gridtype :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(0., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 ... 357.5 358.5 359.5</div><input id='attrs-5aeec5ba-724d-43f3-8146-7b7d56184d10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5aeec5ba-724d-43f3-8146-7b7d56184d10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b62506c7-38d1-4480-b1b9-d4b82b144dcc' class='xr-var-data-in' type='checkbox'><label for='data-b62506c7-38d1-4480-b1b9-d4b82b144dcc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>pointwidth :</span></dt><dd>1.0</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>gridtype :</span></dt><dd>1</dd><dt><span>units :</span></dt><dd>degree_east</dd></dl></div><div class='xr-var-data'><pre>array([  0.5,   1.5,   2.5, ..., 357.5, 358.5, 359.5], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b7086094-c0d2-4f2f-b39a-36eadd76455b' class='xr-section-summary-in' type='checkbox'  ><label for='section-b7086094-c0d2-4f2f-b39a-36eadd76455b' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2ef9ad09-e123-47da-b4fd-beb1eb2bb0f6' class='xr-index-data-in' type='checkbox'/><label for='index-2ef9ad09-e123-47da-b4fd-beb1eb2bb0f6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5,\n",
       "              -80.5,\n",
       "              ...\n",
       "               80.5,  81.5,  82.5,  83.5,  84.5,  85.5,  86.5,  87.5,  88.5,\n",
       "               89.5],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e8498101-64e3-4e8e-b6a5-f2a8d66a8f25' class='xr-index-data-in' type='checkbox'/><label for='index-e8498101-64e3-4e8e-b6a5-f2a8d66a8f25' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([  0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,   8.5,\n",
       "                9.5,\n",
       "              ...\n",
       "              350.5, 351.5, 352.5, 353.5, 354.5, 355.5, 356.5, 357.5, 358.5,\n",
       "              359.5],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=360))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e4574ead-ee99-4dec-bd6a-f4b12ef4841e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e4574ead-ee99-4dec-bd6a-f4b12ef4841e' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>basin code</dd><dt><span>CLIST :</span></dt><dd>Atlantic Ocean\n",
       "Pacific Ocean \n",
       "Indian Ocean\n",
       "Mediterranean Sea\n",
       "Baltic Sea\n",
       "Black Sea\n",
       "Red Sea\n",
       "Persian Gulf\n",
       "Hudson Bay\n",
       "Southern Ocean\n",
       "Arctic Ocean\n",
       "Sea of Japan\n",
       "Kara Sea\n",
       "Sulu Sea\n",
       "Baffin Bay\n",
       "East Mediterranean\n",
       "West Mediterranean\n",
       "Sea of Okhotsk\n",
       "Banda Sea\n",
       "Caribbean Sea\n",
       "Andaman Basin\n",
       "North Caribbean\n",
       "Gulf of Mexico\n",
       "Beaufort Sea\n",
       "South China Sea\n",
       "Barents Sea\n",
       "Celebes Sea\n",
       "Aleutian Basin\n",
       "Fiji Basin\n",
       "North American Basin\n",
       "West European Basin\n",
       "Southeast Indian Basin\n",
       "Coral Sea\n",
       "East Indian Basin\n",
       "Central Indian Basin\n",
       "Southwest Atlantic Basin\n",
       "Southeast Atlantic Basin\n",
       "Southeast Pacific Basin\n",
       "Guatemala Basin\n",
       "East Caroline Basin\n",
       "Marianas Basin\n",
       "Philippine Sea\n",
       "Arabian Sea\n",
       "Chile Basin\n",
       "Somali Basin\n",
       "Mascarene Basin\n",
       "Crozet Basin\n",
       "Guinea Basin\n",
       "Brazil Basin\n",
       "Argentine Basin\n",
       "Tasman Sea\n",
       "Atlantic Indian Basin\n",
       "Caspian Sea\n",
       "Sulu Sea II\n",
       "Venezuela Basin\n",
       "Bay of Bengal\n",
       "Java Sea\n",
       "East Indian Atlantic Basin</dd><dt><span>valid_min :</span></dt><dd>1</dd><dt><span>valid_max :</span></dt><dd>58</dd><dt><span>scale_min :</span></dt><dd>1</dd><dt><span>units :</span></dt><dd>ids</dd><dt><span>scale_max :</span></dt><dd>58</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'basin' (lat: 180, lon: 360)>\n",
       "[64800 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n",
       "    Z        float32 0.0\n",
       "  * lon      (lon) float32 0.5 1.5 2.5 3.5 4.5 ... 355.5 356.5 357.5 358.5 359.5\n",
       "Attributes:\n",
       "    long_name:  basin code\n",
       "    CLIST:      Atlantic Ocean\\nPacific Ocean \\nIndian Ocean\\nMediterranean S...\n",
       "    valid_min:  1\n",
       "    valid_max:  58\n",
       "    scale_min:  1\n",
       "    units:      ids\n",
       "    scale_max:  58"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "basin = xr.open_dataset('http://iridl.ldeo.columbia.edu/SOURCES/.NOAA/.NODC/.WOA09/.Masks/.basin/dods')\n",
    "basin = basin.rename({'X': 'lon', 'Y': 'lat'})\n",
    "basin_surf = basin.basin[0]\n",
    "basin_surf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "24c9f049-4b73-4246-8b93-dcd1059b3abf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Atlantic Ocean'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "basin_names=basin_surf.attrs['CLIST'].split('\\n')\n",
    "basin_names[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "41bff270-8f6b-489d-a34a-aeb22afdc75c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f24f9fcc710>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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0NMhPypYrzzkmKGw7Q+Hr64uQkBC9tsaNGyM1NRWAfjXAgmxdDZCIiIiInIdAflAhd3OSeMK2AUXnzp1x9uxZvbZz584hICAAgP1WAyQiIiIi56GBQJ7CzRnYdMnT1KlT0alTJ8TGxuKZZ57Bb7/9htWrV2P16tUA8pc62Us1QG3CldwkK2MF7ZiETaRMaRKd5SZLK036ddRkbMDw2M35fQomeJdWSUUIyTR9A/8AYPkCd9rrlIac/w/Ha762WVE5FrMrmhxvrEChvRNC2fIlJXUoHJFNA4p27dph69atmDNnDl577TUEBgZixYoVGDZsmO4Ye6wGSERERETOQ7vkScl5zsCmAQUAPPnkk3jyySeL3a+tBhgTE2O9QRERERER/ZcGEvJg+IVAxig5xxHZPKAgIiIiIrJnQihbvqTgxVAOyaZJ2URERERE5Ng4Q/FfxpKD4jVfK07G1iZeF0zOLpyMXfhYIjLMHIm8pvQhN5nXkROwlTD0fe0xAdpYRW4yzFDStDkTtQv3ZY4k7ZJYu2o2FWXodyhH+3MRULZ8SUnehSNiQEFEREREZARzKIxjQEFEREREZIQAoBHygwPBgIKIiIiIiJTOUGgYUJChNX9y8x2MFbbTYu4EUfGsmZ+gdL293GJ5ZYWx+1XwXtjy/mivyVwK5QrnOSjJqbBW4TwiSxGQkKfgXUZc8kRERERERP99bayCJU8KznFEDCiIiIiIiIxgUrZxrENBRERERESKcYaCiIiIiMgIAQl5Qv6/wytZJuWIGFDIZCyB2pQEbCIyjSMkODvCGM3J1CRsOfusxVCSOClTUjE6Q4nXtihoV1jhF604SkE1RySnGHC85muH+LMQkKBRsLBHOMliIOf4lkRERERECmlzKORv8mVnZyMqKgoBAQFwd3dHp06dkJiYaPbvZE6coSAiIiIiMkIjlC55kn/O888/jz/++AOffvop/Pz88Nlnn6F37944ffo0atWqJbs/a+AMBRERERGREQL5sxRyN7mVsu/fv4/NmzdjyZIl6NatG4KCghATE4PAwECsWrXKMl/ODDhDQURERERkRGkK2wmhQVZWll67SqWCSqUqcnxubi7y8vLg5uam1+7u7o6DBw/Kvr61MKAwA7nVs4nIdDvPxBVJ6jXURpZRMIG5rNzzwtWzWU3bvAxVxbZFEnZJCiYOO0JSsL2Tk4ht6NzCv3DbG43StzyhHDIzb0GtVuu1z58/HzExMUWO9/DwQGhoKF5//XU0btwY3t7e+OKLL3DkyBEEBwcrHb7FMaAgIiIiIrIQtVqN1NRUvTZDsxNan376KcaMGYNatWqhfPnyaN26NYYOHYrjx49beqiKMaAgIiIiIjJC6WtjNZAgSRI8PT1NPqd+/fpISEjA3bt3kZWVBV9fXzz77LMIDAyUfX1rYVI2EREREZERQkjIU7CVprBdpUqV4Ovri1u3bmH37t0YOHCgGb+ReXGGgoiIiIjICI3CpGwlsxq7d++GEAINGzbEhQsXMGPGDDRs2BCjR4+W3Ze1MKAwQG5iEZOxicyvYIKsoWTZwgm15mBKcm5ZSUwuyFBysvbnsvh9C2MytuVpE7TtMTkb+N//95mcbRna+1qaxG1bE5AU1ZRQMkORmZmJOXPm4K+//oKXlxf+7//+D2+88QZcXFxk92UtDCiIiIiIiIyw5gzFM888g2eeeUb2ebbEgIKIiIiIyAghgDwFsw0aYYHB2CEGFERERERERgiUU/iWJ+d4/5HTBBTbMjfoXtllaI2kI6/rIyLLK8u5BIW/W1n+rgUZ+57Mqyg9QwXuiKhscpqAgoiIiIhICeWVspW/NtaRMKAgIiIiIjJCQFlwwICCiIiIiIj+W9hOyWtjmUNBREREROT0lL82ljMUZU5ZKKxCRNblLAnKpM+UIodkGnstZmdIvOZrFrczg8L3sCz83pVf2E7Ja2MZUBAREREROT3OUBjnHAu7iIiIiIjIIjhDQURERERkhBCSogRrwaRsIiIiIiISAPIULF9Sco4jcpqAYqB6JPaKb209jDJFk94AAFDO55yNR0LOwtLPnDYBl4nYRGVfwcRhbdIwE7KVU3rvwso97RBJ2/lJ2QpmKJwkoLDpPExMTAwkSdLbfHx8dPuFEIiJiYGfnx/c3d3Ro0cPnDp1yoYjJiIiIiJnk5+UrWxzBjZf2NWkSROkpaXptpMnT+r2LVmyBMuWLcPKlSuRmJgIHx8fhIWFITs724YjJiIiIiJnos2hkLsxh8JaA6hQQW9WQksIgRUrVmDu3LmIiIgAAKxfvx7e3t7YuHEjxo0bZ+2hEhEREZET0kBppWznmKEwKaDQ/kIvxwcffICaNWuWeNz58+fh5+cHlUqFDh06IDY2FvXq1UNKSgrS09PRp08f3bEqlQrdu3fHoUOHig0ocnJykJOTo/uclZUle+xERERERFoCkqKaEs5Sh8KkgOLbb7/FM888A3d3d5M63bhxI+7cuVNiQNGhQwds2LABDRo0wPXr17Fw4UJ06tQJp06dQnp6OgDA29tb7xxvb29cuXKl2D7j4uKwYMGCIu3bMjeYNHYyjSa9AZOxyS6YM5GaydhUWHjjOayW7eCMJQsXTgY2lBzMRO3SK+nPIKzc09h8e40VR0TmZvKSp3feecekGQcA+Oabb0w6Ljw8XPdzs2bNEBoaivr162P9+vXo2LEjAECS9CM7IUSRtoLmzJmD6Oho3eesrCz4+/ubNB4iIiIiosKE4JInY0y6M3v37oWXl5fJne7cuRO1atWSPZhKlSqhWbNmOH/+vC6vQjtToZWRkVFk1qIglUoFT09PvY2IiIiISCmB/OBA9uYkS55MCii6d++OChVMz9/u0qULVCqV7MHk5OTgzJkz8PX1RWBgIHx8fBAfH6/b//DhQyQkJKBTp06y+yYiIiIiUiL/tbHlZG8a279Q1SoUveVJo9HgwoULyMjIgEaj0dvXrVs3k/uZPn06+vfvjzp16iAjIwMLFy5EVlYWIiMjIUkSoqKiEBsbi+DgYAQHByM2NhYVK1bE0KFDlQybzIj5E2RrzHcgayn8rDGnwv6ZkvfgCMXUypri7nm85mu7f4mO+O+Mg/zzLDAYOyQ7oDh8+DCGDh2KK1euQBS6S5IkIS8vz+S+/vrrLwwZMgQ3btxAjRo10LFjRxw+fBgBAQEAgJkzZ+L+/fuYMGECbt26hQ4dOmDPnj3w8PCQO2wiIiIiIkXy3/KkIIdC5jm5ubmIiYnB559/jvT0dPj6+mLUqFF45ZVXUK6c/c52yA4oxo8fj7Zt2+KHH36Ar6+v0QTpkmzatMnofkmSEBMTg5iYGMXXICIiIiIqDY0A8hTMUMid1Vi8eDE++OADrF+/Hk2aNMHRo0cxevRoqNVqTJkyRfb1rUV2QHH+/Hl88803CAoKssR4iIiIiIjsioCyJU8akf+G0sJLulQqlcF8419//RUDBw5Ev379AAB169bFF198gaNHjyobuJXInjvp0KEDLly4YImxEBERERGVKZmZmVCr1XpbXJzhXKwuXbrgp59+wrlz+bmqv//+Ow4ePIi+fftac8iymTRDkZycrPt50qRJmDZtGtLT09GsWTO4uLjoHdu8eXPzjpBsRpPeoEibNhnb0L6C+4nMqbjnjYioICZjk6XkJ2XLz2EQKAe1Wo3U1FS99uLehjpr1ixkZmaiUaNGKF++PPLy8vDGG29gyJAhisZtLSYFFC1btoQkSXpJ2GPGjNH9rN0nNymbiIiIiMjeCQB5CmpK5EGCJEkm10X78ssv8dlnn2Hjxo1o0qQJTpw4gaioKPj5+SEyMlL29a3FpIAiJSXF0uMgIiIiIrJLSnMohMxzZsyYgdmzZ+M///kPAKBZs2a4cuUK4uLiHD+g0L7GFQD279+PTp06FSl0l5ubi0OHDukdS0RERETk6JQueZIbhNy7d6/I62HLly9fpO6bvZH9lqeePXsiLS0NNWvW1GvPzMxEz549ueSJiIiIiMqU/DoUCmYoZJ7Tv39/vPHGG6hTpw6aNGmCpKQkLFu2TC/VwB7JDii0uRKF3bx5E5UqVTLLoMh+lZQcq93P5Gwyl4LPXMHnSlutmBWzydq0zxwrZtsfUxKujSVux2u+1u1n8rb5Gbr3jnKfNbBOHYp3330Xr776KiZMmICMjAz4+flh3LhxmDdvnuxrW5PJAUVERASA/ATsUaNG6WWn5+XlITk5GZ06dTL/CImIiIiIbMhaS548PDywYsUKrFixQva1bMnkgEKtVgPIn6Hw8PCAu7u7bp+rqys6duyIsWPHmn+ERERERERkt0wOKNauXQshBIQQePfdd+Hh4WHJcRERERER2QXFb3lSkHfhiGTN3QghsHHjRqSnp1tqPEREREREdkUA0Pw3MVvu5gxkJWWXK1cOwcHBuHnzJoKDgy01JipB3bVLdD9fHj3TYtcp53OOFYrJZkp69kxJxmbiNhHJUTBp2JSq2+Q88nMolCRlW2Awdkh2dsmSJUswY8YM/PHHH5YYDxERERGRXclf8lRO9iYUJHI7ItmvjR0+fDju3buHFi1awNXVVS85GwD+/fdfsw2OiIiIiMjWhJD/xiZA2TmOSHZA4WivsSIiIiIiKg3lhe2cg+yAIjIy0hLjcFitX1yO46umWuVaBXMnCrcVzKUofJyl8ixYvI4swdS8neLyIwoWG2PuBBExF4LMQUDhDAWTsouXl5eHb7/9FmfOnIEkSQgJCcGAAQNQvnx5c4+PiIiIiIjsmOyA4sKFC+jbty+uXbuGhg0bQgiBc+fOwd/fHz/88APq169viXESEREREdmE0rc8CSfJoZCdej558mTUr18fV69exfHjx5GUlITU1FQEBgZi8uTJlhgjEREREZHNaJc8KdmcgewZioSEBBw+fBheXl66tmrVqmHRokXo3LmzWQdHRERERGRrSoMD4SRZ2bIDCpVKhezs7CLtd+7cgaurq1kGZS9av7hc93NxidfHV03VHWet5GxDDCVsG9onN0Fbm3htKFFW28bkbDIHY8nYxp6xgknYABOxyfIKP3NkXcUlWcdrvmYCth2I13xt6yFYhLZStlzOkpQte8nTk08+iRdeeAFHjhyBEAJCCBw+fBjjx4/HgAEDLDFGIiIiIiKbyS9sJ38TDCgMe+edd1C/fn2EhobCzc0Nbm5u6Ny5M4KCgvD2229bYoxERERERDajLWzHHArDZC95qlKlCrZt24bz58/jzz//hBACISEhCAoKssT4iIiIiIhsSjtDIfs85lAYFxwcjODgYHOOhYiIiIiIHIzsgCIvLw/r1q3DTz/9hIyMDGg0Gr39P//8s9kGZ0kFE66LUzDJ2ljitbbNlCRuJYwlXJe2L1OTtJmcTZZgSlVsU58rJmMTlX3Gkq6ZkE2WpLQOBZc8FWPKlClYt24d+vXrh6ZNm0KSnONGEREREZGTEsqK1DlLUrbsgGLTpk346quv0LdvX0uMh4iIiIjIrghIil4By4CiGK6urkzAJiIiIiKnoa2ULReXPBVj2rRpePvtt7Fy5UoudyIiIiKiMk8ISdGSJ8h8y1PdunVx5cqVIu0TJkzAe++9J//6AJKTk2WfExISggoVTA8TZAcUBw8exN69e7Fz5040adIELi4uevu3bNkit0uHYkpydsHjDO2TS25168LMmdRtLDmbyJDSPiua9Aa6546J10REZAvWmqFITExEXl6e7vMff/yBsLAwPP208pcOtGzZEpIkQZj4Dtty5crh3LlzqFevnsnXUFSHYvDgwXJPIyIiIiJySEpnKOTmUNSoUUPv86JFi1C/fn10795d9rULOnLkSJG+DRFCoGnTprL7lx1QrF271qTjfvnlF7Rt2xYqlUr2oIiIiIiIygIhBLKysvTaVCpVib8jP3z4EJ999hmio6NLlWbQvXt3BAUFoUqVKiYd361bN7i7u8u6RjkF4zJJeHg4rl27ZqnuiYiIiIisQrvkSe4mhITMzEyo1Wq9LS4ursRrfvvtt7h9+zZGjRpVqrHv3bvX5GACAHbs2AFfX19Z11BcKbskpq7TsiZTitkp6aukfApbK20OhiHlfM4xj4KsbueZ/L+AmUtBVLaxSB3ZHQEo+dVWCECtViM1NVWv3ZQVPGvWrEF4eDj8/PzkX9hEeXl5OHnyJAICAlC1alXF/VhshkKuuLg4SJKEqKgoXZsQAjExMfDz84O7uzt69OiBU6dO2W6QREREROR0tHUo5G4CgCRJ8PT01NtKCiiuXLmCH3/8Ec8//7xZv0dUVBTWrFkDID+Y6N69O1q3bg1/f3/s27dPcb92EVAkJiZi9erVaN68uV77kiVLsGzZMqxcuRKJiYnw8fFBWFgYsrOzbTRSIiIiInI2Av9LzJa7KbF27VrUrFkT/fr1M+v3+Oabb9CiRQsAwPfff4+UlBT8+eefiIqKwty5cxX3a/OA4s6dOxg2bBg++ugjvakWIQRWrFiBuXPnIiIiAk2bNsX69etx7949bNy40YYjJiIiIiJnIhTkT2g3uTQaDdauXYvIyEhZtSBMcePGDfj4+ADIz5V4+umn0aBBAzz33HM4efKk4n4tFlCYmo0+ceJE9OvXD71799ZrT0lJQXp6Ovr06aNrU6lU6N69Ow4dOlRsfzk5OcjKytLbiIiIiIhKQwj5mxI//vgjUlNTMWbMGPN+AQDe3t44ffo08vLysGvXLt3v3/fu3UP58uUV92vTpOxNmzbh+PHjSExMLLIvPT0dQP4XL8jb29tgBUGtuLg4LFiwoEh716nvobyrGwDjBeiUMFTsrrh+DSVrGzrWnpK6DTGUkF2wTVuIjBybNvlZmwxtKnMm7PNZInuj9L8LMg0Tsh1TvOZrWw+hzOjTp4/FXm40evRoPPPMM/D19YUkSQgLCwOQX6eiUaNGivuVHVDcv38fQghUrFgRQH7SyNatWxESEqI3m1BSnsPVq1cxZcoU7NmzB25ubsUeV3imQwhhdPZjzpw5iI6O1n3OysqCv7+/0bEQERERERUnf8ZBQWE7hTkUlhITE4OmTZvi6tWrePrpp3XJ4eXLl8fs2bMV9ys7oBg4cCAiIiIwfvx43L59Gx06dICLiwtu3LiBZcuW4cUXXzSpn2PHjiEjIwNt2rTRteXl5WH//v1YuXIlzp49CyB/pqLgu3AzMjKKzFoUZEqhECIiIiIi0ymslG1/VRTw1FNPFWmLjIwsVZ+yA4rjx49j+fL8JTrffPMNvL29kZSUhM2bN2PevHkmBxS9evUqkvwxevRoNGrUCLNmzUK9evXg4+OD+Ph4tGrVCkB+xcCEhAQsXrxY7rCJiIiIiBQRAsoSrO1ghuKdd94x+djJkycruobsgOLevXvw8PAAAOzZswcREREoV64cOnbsaDS3oTAPDw80bdpUr61SpUqoVq2arj0qKgqxsbEIDg5GcHAwYmNjUbFiRQwdOlTusImIiIiIFMl/baytR6GMdiJA659//sG9e/d01bNv376NihUrombNmtYLKIKCgvDtt99i8ODB2L17N6ZOzU8ezsjIgKenp6JBFGfmzJm4f/8+JkyYgFu3bqFDhw7Ys2ePLqBRytREbFOOO75qaqkTu7UJ2Oas5E0kV0nVpw3tLy4plZXUiUguJmOTXVNYU0IICbaeo0hJSdH9vHHjRrz//vtYs2YNGjZsCAA4e/Ysxo4di3Hjxim+huyAYt68eRg6dCimTp2Kxx57DKGhoQDyZyu0S5OUKlyhT5IkxMTEICYmplT9EhEREREppS1sJ/s8OwgoCnr11VfxzTff6IIJAGjYsCGWL1+Op556CsOGDVPUr+yA4qmnnkKXLl2Qlpamq7QH5OdEDB48WNEgiIiIiIjsmZIVT/a2SiotLQ2PHj0q0p6Xl4fr168r7ldRYTsfHx94eHggPj4e9+/fBwC0a9euVO+vJSIiIiIiy+nVqxfGjh2Lo0eP6mpdHD16FOPGjStSZFoO2QHFzZs30atXLzRo0AB9+/ZFWloaAOD555/HtGnTFA+EiIiIiMgeif/mUMjd7G2K4pNPPkGtWrXQvn17uLm5QaVSoUOHDvD19cXHH3+suF/ZS56mTp0KFxcXpKamonHjxrr2Z599FlOnTsXSpUsVD8ZeGUq8LljJunBVa2PJ1a1fXG5SFWxD1bftScHqxUy+LRtKqvqr3V9S8raW9hkx9fkofLyhCtmmXpvIGsIbz2G1bLJb2srV1kp2115HScXs1i8ux77Fz5l7SOZnZ8GBEjVq1MCOHTtw7tw5/PnnnxBCoHHjxmjQoHS/y8kOKPbs2YPdu3ejdu3aeu3BwcGyXhtLREREROQIykqlbK0GDRqUOogoSHZAcffuXVSsWLFI+40bN1ihmoiIiIjKHqGsDoU91K6Ijo7G66+/jkqVKiE6OtroscuWLVN0DdkBRbdu3bBhwwa8/vrrAPJf7arRaPDmm2+iZ8+eigZBRERERGSvBJTXobC1pKQk3ZudkpKSij1OkpSPVRJCXux0+vRp9OjRA23atMHPP/+MAQMG4NSpU/j333/xyy+/oH79+ooHYwlZWVlQq9XIzMw0S+E9Q/kRSgvTmXqeveZRkHMxlr9gbB253BwKpWMgsiXmUijHgnZllyn5FNrfgfYtfs6sv6+Z04gRI/DDowxUHdRd9rn3/7wM13V7cPnyZfMPzI7IfstTSEgIkpOT0a5dO4SFheHu3buIiIhAUlKS3QUTRERERETmIIT8rSwkcptC9pInIL8OxWuvvWbusRARERERkRlFRERg3bp1Js/8DBs2DMuXL0fNmjVNvoaiwnYHDhzA8OHD0alTJ1y7dg0A8Omnn+LgwYNKuiMiIiIisl+iFJuNbdu2Df/88w+ysrJK3DIzM/H999/jzp07sq4he4Zi8+bNGDFiBIYNG4bjx48jJycHAJCdnY3Y2Fjs2LFDbpdERERERHZLQOlrY80/FvljEGZ9RawhsgOKhQsX4oMPPsDIkSOxadMmXXunTp2cdhmU3GTswucZSrou2Kex/o0V1WMyN5WWJZKgTUm+JiIix1c44f7muE5FjtH+rpKVlWWVMSlmJ7MNSuzdu1f2ObVq1ZJ1vOyA4uzZs+jWrVuRdk9PT9y+fVtud0REREREds5xXxvbvbv8t1PJJTuHwtfXFxcuXCjSfvDgQdSrV88sgyIiIiIishsOnENhDbIDinHjxmHKlCk4cuQIJEnC33//jc8//xzTp0/HhAkTLDFGIiIiIiIbkxRuZZ/sgGLmzJkYNGgQevbsiTt37qBbt254/vnnMW7cOLz00kuWGCMRERERkW1ZaYbi2rVrGD58OKpVq4aKFSuiZcuWOHbsmFm+gqXIyqHIy8vDwYMHMW3aNMydOxenT5+GRqNBSEgIKleubKkxlnlKk7qLw2Rssgf/S+j+PwDKKwmzOjY5Au1zyorZRP9jSqVs0nfr1i107twZPXv2xM6dO1GzZk1cvHgRVapUsfXQjJIVUJQvXx6PP/44zpw5Ay8vL7Rt29ZS4yIiIiIisg9WyodYvHgx/P39sXbtWl1b3bp1zXqN3Nxc7Nu3DxcvXsTQoUPh4eGBv//+G56enoonCGQveWrWrBkuXbqk6GJERERERI5HAoSyTQhRpICcto5bYd999x3atm2Lp59+GjVr1kSrVq3w0Ucfme1bXLlyBc2aNcPAgQMxceJE/PPPPwCAJUuWYPr06Yr7lR1QvPHGG5g+fTq2b9+OtLS0IjeIiIiIiKgsEUL5lpmZCbVarbfFxRleHnnp0iWsWrUKwcHB2L17N8aPH4/Jkydjw4YNZvkeU6ZMQdu2bXHr1i24u7vr2gcPHoyffvpJcb+y61A88cQTAIABAwZAkv6XuS6EgCRJyMvLUzwYks/c+RdEBWnXg5uax1DwOLlryZkrQWVBaf4bcCaFC55R2VGm8yaULHkSgFqtRmpqql6zSqUyeLhGo0Hbtm0RGxsLAGjVqhVOnTqFVatWYeTIkQoGoO/gwYP45Zdf4OrqqtceEBCAa9euKe5XdkChpNoeEREREZHDEshfwiT7PAmSJMHT09Okw319fRESEqLX1rhxY2zevFn+tQ3QaDQG//H/r7/+goeHh+J+ZQcU1qi2R0RERERkLyQAkoIZCrkhSOfOnXH27Fm9tnPnziEgIED+xQ0ICwvDihUrsHr16vzxSRLu3LmD+fPno2/fvor7lR1QJCcnG2yXJAlubm6oU6dOsdM4REREREQOR+lbnmSeM3XqVHTq1AmxsbF45pln8Ntvv2H16tW6AKC0li9fjp49eyIkJAQPHjzA0KFDcf78eVSvXh1ffPGF4n5lBxQtW7bUy50ozMXFBc8++yw+/PBDuLm5KR4YEREREZEzadeuHbZu3Yo5c+bgtddeQ2BgIFasWIFhw4aZpX8/Pz+cOHECX3zxBY4fPw6NRoPnnnsOw4YN00vSlksSQsiKnbZt24ZZs2ZhxowZaN++PYQQSExMxNKlSzF//nzk5uZi9uzZePbZZ/HWW28pHpi5ZGVlQa1WIzMz0+T1a0qZkiBtrOicORKsWdSOLEVp0rShxFQmYJMzYXI2k7CdQWmTsa35+5pcI0aMwPY7N6F+4jHZ5z44fwlu3+zA5cuXzT8wOyJ7huKNN97A22+/jccff1zX1rx5c9SuXRuvvvoqfvvtN1SqVAnTpk2zi4CCiIiIiKhUrLTkyRK+++47k48dMGCAomvIDihOnjxpMDEkICAAJ0+eBJC/LCotLU3RgIiIiIiI7IqVKmVbwqBBg/Q+S1J+sb3CbQAUl3+QXdiuUaNGWLRoER4+fKhre/ToERYtWoRGjRoBAK5duwZvb29FAyIiIiIisjtC4WZjGo1Gt+3ZswctW7bEzp07cfv2bWRmZmLnzp1o3bo1du3apfgasmco3nvvPQwYMAC1a9dG8+bNIUkSkpOTkZeXh+3btwPIr/I3YcIExYMiIiIiIrIbpahDYU+ioqLwwQcfoEuXLrq2xx9/HBUrVsQLL7yAM2fOKOpXdkDRqVMnXL58GZ999hnOnTsHIQSeeuopDB06VFcQY8SIEYoG4+gKJkQrSbAuLqG6tMneRPaECdnkbLTPvLMmZzMhm8oKRXUo7GCGoqCLFy9CrVYXaVer1aVKHJcdUABA5cqVMX78eMUXJSIiIiJyGHayfKm02rVrh6ioKHz22Wfw9fUFAKSnp2PatGlo37694n5l51AAwKeffoouXbrAz88PV65cAZBfKGPbtm2KB0JERERERJbzySefICMjAwEBAQgKCkJQUBDq1KmDtLQ0rFmzRnG/sgOKVatWITo6GuHh4bh165YuG7xq1apYsWKF4oEQEREREZHlBAUFITk5Gdu3b8fkyZMxadIk/PDDDzh58iSCgoIU9yt7ydO7776Ljz76CIMGDcKiRYt07W3btsX06dMVD4SIiIiIyB5JKBs5FED+K2L79OmDPn36mK1P2QFFSkoKWrVqVaRdpVLh7t27ZhlUWWDOJGkmXJMjYxI2Ub7wxnOKJGY7e8I2kcMQUpl4yxMAJCQk4K233sKZM2cgSRIaN26MGTNmoGvXror7lL3kKTAwECdOnCjSvnPnToSEhMjqa9WqVWjevDk8PT3h6emJ0NBQ7Ny5U7dfCIGYmBj4+fnB3d0dPXr0wKlTp+QOmYiIiIiodBy0DkVBn332GXr37o2KFSti8uTJeOmll+Du7o5evXph48aNivuVPUMxY8YMTJw4EQ8ePIAQAr/99hu++OILxMXF4eOPP5bVV+3atbFo0SLdmq3169dj4MCBSEpKQpMmTbBkyRIsW7YM69atQ4MGDbBw4UKEhYXh7NmzulfUEhERERFZlB0GB0q88cYbWLJkCaZO/d/qlylTpmDZsmV4/fXXMXToUEX9yg4oRo8ejdzcXMycORP37t3D0KFDUatWLbz99tv4z3/+I6uv/v37631+4403sGrVKhw+fBghISFYsWIF5s6di4iICAD5AYe3tzc2btyIcePGGewzJycHOTk5us9ZWVkyvyERERERkT5F+RB2FoRcunSpyO/fADBgwAC8/PLLivtVVIdi7NixGDt2LG7cuAGNRoOaNWsqHoBWXl4evv76a9y9exehoaFISUlBenq6XsKISqVC9+7dcejQoWIDiri4OCxYsKDU4yHDpiQN0f38dqsvbDgSIiLH50i5E4YK1MVrvrbBSMieOM0zoHSGws4CCn9/f/z0009F3uj0008/wd/fX3G/igIKrerVq5fmdADAyZMnERoaigcPHqBy5crYunUrQkJCcOjQIQCAt7e33vHe3t662heGzJkzB9HR0brPWVlZpbpBRERERERlwbRp0zB58mScOHECnTp1giRJOHjwINatW4e3335bcb8mBRStWrWCJJmWpX78+HFZA2jYsCFOnDiB27dvY/PmzYiMjERCQoJuf+HrCiGMjkWlUkGlUskaAxERERGRUWVghuLFF1+Ej48Pli5diq+++goA0LhxY3z55ZcYOHCg4n5NCigGDRqk+/nBgwd4//33ERISgtDQUADA4cOHcerUKUyYMEH2AFxdXXXTLm3btkViYiLefvttzJo1C0B+OXBtaXAAyMjIKDJrQURERERkKZJQWIfC/EMptcGDB2Pw4MFm7dOkgGL+/Pm6n59//nlMnjwZr7/+epFjrl69WuoBCSGQk5ODwMBA+Pj4ID4+Xlf34uHDh0hISMDixYtLfR0iIiIiIpOVgToUiYmJ0Gg06NChg177kSNHUL58ebRt21ZRv7JzKL7++mscPXq0SPvw4cPRtm1bfPLJJyb39fLLLyM8PBz+/v7Izs7Gpk2bsG/fPuzatQuSJCEqKgqxsbEIDg5GcHAwYmNjUbFiRcWvtKLS0yZiT0kaokvQZnI2EZFpiitkZ6jonbUYSrYuzbmFk3TjNV+X6hpkG9o/R2N/dk6TkA2UmaTsiRMnYubMmUUCimvXrmHx4sU4cuSIon5lBxTu7u44ePAggoOD9doPHjwINzc3WX1dv34dI0aMQFpaGtRqNZo3b45du3YhLCwMADBz5kzcv38fEyZMwK1bt9ChQwfs2bOHNSiIiIiIyKoULXmys4Di9OnTaN26dZH2Vq1a4fTp04r7lR1QREVF4cUXX8SxY8fQsWNHAPk5FJ988gnmzZsnq681a9YY3S9JEmJiYhATEyN3mERERERE5lFGZihUKhWuX7+OevXq6bWnpaWhQgXlL38tJ/eE2bNnY8OGDUhKSsLkyZMxefJkJCUlYd26dZg9e7bigRARERERObOYmBhIkqS3+fj4mK3/sLAwzJkzB5mZmbq227dv4+WXX9atEFJCUSjyzDPP4JlnnlF8USIiIiIiRyHBem95atKkCX788Ufd5/LlyyvoxbClS5eiW7duCAgI0L306MSJE/D29sann36quN9SFbYj+9N+18v47YlYi1/n7VZf6FXNprJNm0hKRJax80xcsQnb5sYEaTIFK6MXYsUlTxUqVDDrrERBtWrVQnJyMj7//HP8/vvvcHd3x+jRozFkyBC4uLgo7tekgMLLywvnzp0zuTJ2nTp1cODAAQQEBCgeGBERERGRXShFQCGEQFZWll6zsULM58+fh5+fH1QqFTp06IDY2NgiOQ+lUalSJbzwwgtm6w8wMaC4ffs2du7cCbVabVKnN2/eRF5eXqkGRkRERERkD5QueYIAMjMzi/wOPX/+fIMvHerQoQM2bNiABg0a4Pr161i4cCE6deqEU6dOoVq1aorGbg0mL3mKjIy05DiIiIiIiMoctVqN1NRUvbbiZifCw8N1Pzdr1gyhoaGoX78+1q9fj+joaIuOszRMCig0Go2lx0FEREREZJ+ULnlCfhkET09PRedWqlQJzZo1w/nz55Vd3EqYlF0Gtd/1MgBYJTkbgF5yduGq2aym7diYjE1kGYYSsLU/Wys5m8hUTp2MXYAtCtvl5OTgzJkz6Nq1a+k6sjAGFEREREREdmD69Ono378/6tSpg4yMDCxcuBBZWVlmTz14+PAhMjIyiqxCqlOnjqL+GFAQERERERljpdfG/vXXXxgyZAhu3LiBGjVqoGPHjjh8+LDZ3px6/vx5jBkzBocOHdIfphCQJEnxS5UYUBARERERlcQKAcWmTZsUXMR0o0aNQoUKFbB9+3b4+vpCkpSU3iuKAUUZ89sTsbocCkszlC9RuNid9pjufZcgYcdMq4yLzK9g0S0iMp+C/12VlZwJbUE0rrunskQS1quUbUknTpzAsWPH0KhRI7P2W07JSRcvXsQrr7yCIUOGICMjAwCwa9cunDp1yqyDIyIiIiKyC0LhZkdCQkJw48YNs/crO6BISEhAs2bNcOTIEWzZsgV37twBACQnJ2P+/PlmHyARERERkU2J/81SyN3syeLFizFz5kzs27cPN2/eRFZWlt6mlOwlT7Nnz8bChQsRHR0NDw8PXXvPnj3x9ttvKx4IEREREZHdskIOhaX17t0bANCrVy+9dqsnZZ88eRIbN24s0l6jRg3cvHlT0SCIiIiIiOyWHS5fUmLv3r0W6Vd2QFGlShWkpaUhMDBQrz0pKQm1atUy28BIOW1BO2sXuDNWvC5hx0x077vELNdhcrflsbAWke0ULnBXsM2RaJOzybExub5s6d69u0X6lR1QDB06FLNmzcLXX38NSZKg0Wjwyy+/YPr06Rg5cqQlxkhEREREZDMSFOZD2MGsRnJyMpo2bYpy5cohOTnZ6LHNmzdXdA3ZAcUbb7yBUaNGoVatWhBCICQkBHl5eRg6dCheeeUVRYMgIiIiIrJbVipsZwktW7ZEeno6atasiZYtW0KSJAhRdGBWzaFwcXHB559/jtdeew1JSUnQaDRo1aoVgoODFQ2AiIiIiMjuOWhAkZKSgho1auh+tgTFhe3q16+P+vXrm3MsRERERET2pxSF7WwdUwQEBBj82ZxMCiiio6NN7nDZsmWKB0OWYe3k7OIUTqZWmqTNqtuWw2rYRLZT+GUIBSvUO9KLErRJvEzKpjLHQWcoClq/fj2qV6+Ofv36AQBmzpyJ1atXIyQkBF988YXigMOkgCIpKUnv87Fjx5CXl4eGDRsCAM6dO4fy5cujTZs2igZBRERERGSvlBapk4R9xRSxsbFYtWoVAODXX3/FypUrsWLFCmzfvh1Tp07Fli1bFPVrUkBR8J21y5Ytg4eHB9avX4+qVasCAG7duoXRo0eja9euigZBRERERGTXysAMxdWrVxEUFAQA+Pbbb/HUU0/hhRdeQOfOndGjRw/F/ZaTe8LSpUsRFxenCyYAoGrVqli4cCGWLl2qeCBERERERGQ5lStX1hWi3rNnj65ytpubG+7fv6+4X9lJ2VlZWbh+/TqaNGmi156RkYHs7GzFAyEiIiIisksO/NrYgsLCwvD888+jVatWOHfunC6X4tSpU6hbt67ifmUHFIMHD8bo0aOxdOlSdOzYEQBw+PBhzJgxAxEREYoHQuZXuGJ2+10v2zwxuyBtYrWS5GztOfaQnK1Jb4ByPudsPQzFTEnEZrI2kfUY++/NXpOzDVVTNtTGRG3HwQrZRUlWOseS3nvvPbzyyiu4evUqNm/ejGrVqgHIz48eMmSI4n5lBxQffPABpk+fjuHDh+PRo0f5nVSogOeeew5vvvmm4oEQEREREdklpTMUdqZKlSpYuXJlkfYFCxaUql/ZAUXFihXx/vvv480338TFixchhEBQUBAqVapUqoEQEREREdkjCcrf8mSP7t27h9TUVDx8+FCvvXnz5or6U1zYrlKlSoovSkRERETkMMpIDsU///yDUaNGYdeuXQb35+XlKepXdkDRs2dPSFLxK8J+/vlnRQMhcmSa9AZ6n+01p0JuLgRzJ8hU2jX9fGacU0m5Edr1+MyrIIdWBgKKqKgo3L59G4cPH0bPnj2xdetWXL9+vdRva5UdULRs2VLv86NHj3DixAn88ccfiIyMVDwQIiIiIiK7pLCwnb35+eefsW3bNrRr1w7lypVDQEAAwsLC4Onpibi4ON1bn+SSHVAsX77cYHtMTAzu3LmjaBBERERERGRZd+/eRc2aNQEAXl5e+Oeff9CgQQM0a9YMx48fV9yv7MJ2xRk+fDg++eQTc3VHRERERGQ/hMKtFOLi4iBJEqKiokrX0X81bNgQZ8+eBZC/6ujDDz/EtWvX8MEHH8DX11dxv4qTsgv79ddf4ebmZq7uiIiIiIjsgqRwyVNplkklJiZi9erVZn0JUlRUFNLS0gAA8+fPx+OPP47PP/8crq6uWLduneJ+ZQcUhYvXCSGQlpaGo0eP4tVXX1U8ELKcwgXu7IWSgnbF9WGLAneFE7EN7bNGcnbhJNiCBa+YIEvWUtxzyGfQcRkrbCY3kbrw8QX7LnwdJmmT3bJiUvadO3cwbNgwfPTRR1i4cKGyTgwYNmyY7udWrVrh8uXL+PPPP1GnTh1Ur15dcb+ylzx5enpCrVbrNi8vL/To0QM7duzA/PnzZfUVFxeHdu3awcPDAzVr1sSgQYN00zBaQgjExMTAz88P7u7u6NGjB06dOiV32EREREREyoj/zVLI2pD/u2xWVpbelpOTY/RyEydORL9+/dC7d2/LfSUh4O7ujtatW5cqmAAUzFCUZjqksISEBEycOBHt2rVDbm4u5s6diz59+uD06dO6QnlLlizBsmXLsG7dOjRo0AALFy5EWFgYzp49Cw8PD7ONhYiIiIioWApnKDIzM6FWq/Wa58+fj5iYGIOnbNq0CcePH0diYqKCC5ZszZo1WL58Oc6fPw8ACA4ORlRUFJ5//nnFfcoOKOrVq4fExERUq1ZNr/327dto3bo1Ll26ZHJfhYtqrF27FjVr1sSxY8fQrVs3CCGwYsUKzJ07V7fUav369fD29sbGjRsxbtw4ucMnIiIiIpKnFIXt1Go1UlNT9ZpVKpXBw69evYopU6Zgz549FslNfvXVV7F8+XJMmjQJoaGhAPLzoKdOnYrLly8rXl4lO6C4fPmywSp6OTk5uHbtmqJBaGVmZgLIf40VAKSkpCA9PR19+vTRHaNSqdC9e3ccOnTIYECRk5OjN42UlZVVqjERERERkXOToDwpW5IkeHp6mnT8sWPHkJGRgTZt2uja8vLysH//fqxcuRI5OTkoX768/IH816pVq/DRRx9hyJAhurYBAwagefPmmDRpkuUDiu+++0738+7du/WmbvLy8vDTTz+hbt26igYB5K/jio6ORpcuXdC0aVMAQHp6OgDA29tb71hvb29cuXLFYD9xcXFYsGCB4nGUddrEbG2iti2YIxnbWJ+WTtA2loxt6FhLJmYXTHgtmIxNZGvaZ3PnmTgmZtsZbRK00uRncydNG0vYtsb1iexJr169cPLkSb220aNHo1GjRpg1a1apggkg/3f2tm3bFmlv06YNcnNzFfdrckAxaNAgAPlRVuGK2C4uLqhbt26pSna/9NJLSE5OxsGDB4vskyRJ77MQokib1pw5cxAdHa37nJWVBX9/f8XjIiIiIiInZ4aaEqbw8PDQ/cO6VqVKlVCtWrUi7UoMHz4cq1atwrJly/TaV69erfcGKLlMDig0Gg0AIDAwEImJiaXOBi9o0qRJ+O6777B//37Url1b1+7j4wMgf6aiYLGNjIyMIrMWWiqVqth1aURERERESkhCQUSh5BwzK/gP7ZIk4eOPP8aePXvQsWNHAMDhw4dx9epVjBw5UvE1ZOdQpKSkKL5YYUIITJo0CVu3bsW+ffsQGBiotz8wMBA+Pj6Ij49Hq1atAAAPHz5EQkICFi9ebLZxEBEREREVqxRJ2aW1b9++Up2flJSk91mbn3Hx4kUAQI0aNVCjRo1SlWUwKaB455138MILL8DNzQ3vvPOO0WMnT55s8sUnTpyIjRs3Ytu2bfDw8NDlTKjVari7u+tKjcfGxiI4OBjBwcGIjY1FxYoVMXToUJOvQ0RERESkVGmSsm1t7969Fr+GJETJczGBgYE4evQoqlWrVmQWQa8zSZL12tji8iDWrl2LUaNGAcifxViwYAE+/PBD3Lp1Cx06dMB7771n8jqyrKwsqNVqZGZmmpxhX5YVrpZti+RsSyRlG2KJ5Gw5CdmFWSI5u6Sk7NImw1qiTyIyL2u/kMEcSdEFE6+1/ZWUjG0KJmybnzn+XExhz7+vjRgxAntP/wvf5r1kn5t9/RIenN6Oy5cvm39gdsSkGYqCy5zMveSpJJIkISYmptjiH0REREREluaoMxTWUE7uCa+99hru3btXpP3+/ft47bXXzDIoIiIiIiK7IUqxOQHZAcWCBQtw586dIu337t1j/QciIiIiIicj+y1PxdWA+P3333UVrslxWKvQnbXyJiylNLkTllSwaBhzG4icU+H/9h21yKWh/IfSFuEj5ayVO+EoJMElT8aYHFBUrVoVkiRBkiQ0aNBAL6jIy8vDnTt3MH78eIsMkoiIiIjIppwkOFDC5IBixYoVEEJgzJgxWLBgAdRqtW6fq6sr6tati9DQUIsMkoiIiIjIZhTOUDhLEGJyQBEZGQkg/xWynTp1gouLi8UGRURERERkP4Syqtd2UCnbGmTnUHTv3l338/379/Ho0SO9/fb27mAiIiIiotJgDoVxsgOKe/fuYebMmfjqq69w8+bNIvvz8vLMMjCyDG3ydeECd+bGJGzr0SZgMimbiICSC17aA1OTrJmMTXaFS56KJfu1sTNmzMDPP/+M999/HyqVCh9//DEWLFgAPz8/bNiwwRJjJCIiIiIiOyV7huL777/Hhg0b0KNHD4wZMwZdu3ZFUFAQAgIC8Pnnn2PYsGGWGCcRERERkU1IApA0ys5zBrJnKP79918EBgYCyM+X+PfffwEAXbp0wf79+807OiIiIiIiW2OlbKNkBxT16tXD5cuXAQAhISH46quvAOTPXFSpUsWcYyMiIiIisgvaxGy5mzOQveRp9OjR+P3339G9e3fMmTMH/fr1w7vvvovc3FwsW7bMEmMkB+LoydiA5RKyDfVbzuec2fq3dHI2k76JHI+xBG2lydvGKigziZrKLAGFr4B1johCdkAxdepU3c89e/bEn3/+iaNHj6J+/fpo0aKFWQdHRERERGRrEljYzhjZS54Kq1OnDiIiIuDl5YUxY8aYY0xERERERPaDORRGlTqg0Pr333+xfv16c3VHRERERGQ3mENRPLMFFERERERE5Hxk51BQ2aCtmK3VftfLRdpKYu8J2NrxJeyYadLxtqiOrb2mIyRnsyI3kWMz9t+udl9pK2vHa75mYraDM5Z079SEUJiU7RwYUBARERERGaE0KdtZljyZHFBEREQY3X/79u3SjoWIiIiIyP4oTbCWec6qVauwatUqXc23Jk2aYN68eQgPD1dwcesxOaBQq9Ul7h85cmSpB0REREREZG+sMUNRu3ZtLFq0CEFBQQCA9evXY+DAgUhKSkKTJk3kD8BKTA4o1q5da8lxkIOw97yJ0tDmMdgil6Igc61ltpSC42I+BVHZorTYHZUd2hwY5lIUogGgURBRCAEhBLKysvSaVSoVVCpVkcP79++v9/mNN97AqlWrcPjwYbsOKPiWJyIiIiKikiisQ5GZmQm1Wq23xcWVHLDn5eVh06ZNuHv3LkJDQy3zncyESdlEREREREYorikh8tMCUlNT9ZoNzU5onTx5EqGhoXjw4AEqV66MrVu3IiQkRMHFrYcBBRERERGRhUiSBE9PT5OPb9iwIU6cOIHbt29j8+bNiIyMREJCgl0HFQwoiIiIiIiMUlqHQv45rq6uuqTstm3bIjExEW+//TY+/PBDBde3DgYUBCC/0F3hQnBKErALF5GzhyTu7n2XmFzcjopnKFmcxe6Iyq7i/ru2ZrK2NjGYxfLI5hQueTJHHQohBHJyckrfkQUxoCAiIiIiKokVJihefvllhIeHw9/fH9nZ2di0aRP27duHXbt2Kbi49TCgICIiIiIyIj8pW35EIfec69evY8SIEUhLS4NarUbz5s2xa9cuhIWFyb62NTGgICIiIiIyRiC/FoWS82RYs2aNgovYHgMKIiIiIiKjhFVmKBwVAwrSMZaMbUpSc/e+S+wiCVspW1fILsweKmYbqpprD+MiItsJbzzHov/9G6rQbKiNidqWxYrZhWgL1Sk5zwmwUjYRERERESnGGQoiIiIiopIoWb7kJDMUDCiIiIiIiIyQFNahcBYMKKiIslgErnDRPkdias6COYvLGStYx9wJIjJnLpXSNfpyz2POhTJh5Z5mHgUAxZWynSQp26Y5FPv370f//v3h5+cHSZLw7bff6u0XQiAmJgZ+fn5wd3dHjx49cOrUKdsMloiIiIickwAkjbLNGdg0oLh79y5atGiBlStXGty/ZMkSLFu2DCtXrkRiYiJ8fHwQFhaG7OxsK4+UiIiIiJyWEMo2J0misOmSp/DwcISHhxvcJ4TAihUrMHfuXERERAAA1q9fD29vb2zcuBHjxo2z5lCJiIiIyJnxtbHFstvXxqakpCA9PR19+vTRtalUKnTv3h2HDh0q9rycnBxkZWXpbURERERESuUnZQtFmzOw26Ts9PR0AIC3t7deu7e3N65cuVLseXFxcViwYIFFx0b6HLmYHVAwYfuc3mdrSthR8jHFFZOyVjI2EZEptAm8xgqjMUHasbDIHZXEbmcotCRJ0vsshCjSVtCcOXOQmZmp265evWrpIRIRERFRWaY0h8I5Jijsd4bCx8cHQP5Mha+vr649IyOjyKxFQSqVCiqVyuLjIyIiIiInIQAoeWOTkwQUdjtDERgYCB8fH8THx+vaHj58iISEBHTq1MmGIyMiIiIiZ8MciuLZdIbizp07uHDhgu5zSkoKTpw4AS8vL9SpUwdRUVGIjY1FcHAwgoODERsbi4oVK2Lo0KE2HDURERERORXda2AVnOcEJCFs90337duHnj17FmmPjIzEunXrIITAggUL8OGHH+LWrVvo0KED3nvvPTRt2tTka2RlZUGtViMzMxOenp7mHD79lyMlZZtaKdva38nQuKydGL3zTJxJ1zRWGZfJ3ETOzRyVs62FieHyWTIp255/XxsxYgQO//w36vl0kX3urTtXkJGzD5cvXzb/wOyITWcoevToAWPxjCRJiImJQUxMjPUGRURERERUkNIcCieplG23SdlERERERPZAaT6E5Bwrnuw3KZuIiIiIiOwfZyiIiIiIiEqiKO3YOaYoGFCQYo6UjK1laMymJmpb0v+qddtuLCUlVDtSsiUR2UbBv0fs/e+MeM3XTMyWyakrZvMtT0ZxyRMRERERUUmUVsuWIS4uDu3atYOHhwdq1qyJQYMG4ezZsxb6QubDgIKIiIiIyBjtW56UbDIkJCRg4sSJOHz4MOLj45Gbm4s+ffrg7t275vomFsElT0RERERExlip6vWuXbv0Pq9duxY1a9bEsWPH0K1bN4tfXykGFOT07CF/wRDt+mNLF4sruM7Z2LUK7zP1PCJyTsb+XrCX/AptLgBzKeRx2lwKhTkUAgJZWVl6zSqVCiqVqsTTMzMzAQBeXl7yr21FXPJERERERGSMEIBG2ZaZmQm1Wq23xcWVHFQLIRAdHY0uXbqgadOmVviSynGGgoiIiIjIQtRqNVJTU/XaTJmdeOmll5CcnIyDBw9aamhmw4CCiIiIiMgYAcV1KCRJgqenp6yzJk2ahO+++w779+9H7dq1FVzXuhhQEBEREREZo7gOhdzLCEyaNAlbt27Fvn37EBgYKP+aNuBUAYWxpCunSywqJUcsalcSa30nQ8nf2mt377ukyH5LJWcbSoos3FZSkra9JFYSEZWGsd8BmLBdvIL3xil+j7JCYbuJEydi48aN2LZtGzw8PJCeng4gf9mUu7u7/OtbCZOyiYiIiIiMUZqULTOgWLVqFTIzM9GjRw/4+vrqti+//NJCX8w8nGqGgoiIiIhINiEAIbNKHSD7HGGFWheWwICCiIiIiMgo6+RQOCoueSIiIiIiIsWcZoZioHokKkguth6GwyuLydj2QJuIbez+7jwTZ7bE7JKSqU29DitkE1FZVzDZmAnaxTNWPdvQfStcpXzz7TUWHJ0ZCOTnRMg+zzmmKJwmoCAiIiIiUkTxa2MZUBAREREREcCAwggGFERERERExlipsJ2jYkBBRERERGSMEIDG8q+NdVQMKP7LWMIQkTlpE68NVcw21GZO5krGJiIiMsTUxHWHTHDnkqdiMaAgIiIiIjKGS56MYh0KIiIiIiJSjDMURERERETGsA6FUQwojDBWpMXZsKCdYyopZ8KS12U+BhEVZqu/k4hKT0AoSbBmUjYREREREUEjlM1QOEc8wYCCiIiIiKhEipYvcckTEREREREprUOh5BwHxICCiIiIiMgYvjbWKAYUVCwmYltW975LZBey0yY0Gkt4Lk3SY3H9G0qyLngd7T4mXBJRWaZ9SYtDFmWjUhFCQCiYbVCUyO2AWIeCiIiIiIgU4wwFEREREZFRSpc8OceaJwYURERERETGKC5sZ/aR2CUGFERERERExgihrEidk+RQMKAgHSZh24723htL0rZF5emCSdaGEq5ZDZuITMEXNpDDEwJCwQyFknMckUMkZb///vsIDAyEm5sb2rRpgwMHDth6SERERETkNP47QyF3U7Dmaf/+/ejfvz/8/PwgSRK+/fZbs38bc7P7gOLLL79EVFQU5s6di6SkJHTt2hXh4eFITU219dCIiIiIyAnkr3gSija57t69ixYtWmDlypUW+CaWYfdLnpYtW4bnnnsOzz//PABgxYoV2L17N1atWoW4OE6hEhEREZGFCQHAOjkU4eHhCA8Pl38tG7LrgOLhw4c4duwYZs+erdfep08fHDp0yOA5OTk5yMnJ0X3OzMwEAOTikeJM+6ysLGUnOpjcRw9sPQSno322tPfe2LOWm5dT7D5DfZaG9lol9VV4TAWPN3W8RFT2lbX/j+aKR7YeQpmjfUaEHb5mtWbNmriIP3BJnFZwtkCbGm2K/DegUqmgUqnMM0A7YNcBxY0bN5CXlwdvb2+9dm9vb6Snpxs8Jy4uDgsWLCjSfhA7FI9DrVYrPpfIGLV6vtHPyvpcXuo+lPZlzmsTUdnBvxuoJP7+2wAA2dnZdvd7V1xcHCZMmKD4/I8//rjId5o/fz5iYmJKOTL7YdcBhZYkSXqfhRBF2rTmzJmD6Oho3efbt28jICAAqampdveAOrKsrCz4+/vj6tWr8PT0tPVwygzeV8vhvbUM3lfL4H21DN5XyzDHfRVCIDs7G35+fmYeXem5urqifv36is+PiYnBnDn6b0UsS7MTgJ0HFNWrV0f58uWLzEZkZGQUmbXQKm4KSa1W8y8PC/D09OR9tQDeV8vhvbUM3lfL4H21DN5XyyjtfS2r//Bb1pY3GWLXb3lydXVFmzZtEB8fr9ceHx+PTp062WhURERERESkZdczFAAQHR2NESNGoG3btggNDcXq1auRmpqK8ePH23poRERERERmdefOHVy4cEH3OSUlBSdOnICXlxfq1Kljw5EVz+4DimeffRY3b97Ea6+9hrS0NDRt2hQ7duxAQECASeerVCrMnz+/zE81WRvvq2XwvloO761l8L5aBu+rZfC+Wgbvq3kdPXoUPXv21H3W5gZHRkZi3bp1NhqVcZKwx/dzERERERGRQ7DrHAoiIiIiIrJvDCiIiIiIiEgxBhRERERERKQYAwoiIiIiIlKszAcU77//PgIDA+Hm5oY2bdrgwIEDth6Sw4iJiYEkSXqbj4+Pbr8QAjExMfDz84O7uzt69OiBU6dO2XDE9mv//v3o378//Pz8IEkSvv32W739ptzLnJwcTJo0CdWrV0elSpUwYMAA/PXXX1b8FvanpPs6atSoIs9wx44d9Y7hfdUXFxeHdu3awcPDAzVr1sSgQYNw9uxZvWP4vMpnyn3l86rMqlWr0Lx5c11RtdDQUOzcuVO3n8+rMiXdVz6vVFCZDii+/PJLREVFYe7cuUhKSkLXrl0RHh6O1NRUWw/NYTRp0gRpaWm67eTJk7p9S5YswbJly7By5UokJibCx8cHYWFhyM7OtuGI7dPdu3fRokULrFy50uB+U+5lVFQUtm7dik2bNuHgwYO4c+cOnnzySeTl5Vnra9idku4rADzxxBN6z/COHTv09vO+6ktISMDEiRNx+PBhxMfHIzc3F3369MHdu3d1x/B5lc+U+wrweVWidu3aWLRoEY4ePYqjR4/isccew8CBA3VBA59XZUq6rwCfVypAlGHt27cX48eP12tr1KiRmD17to1G5Fjmz58vWrRoYXCfRqMRPj4+YtGiRbq2Bw8eCLVaLT744AMrjdAxARBbt27VfTblXt6+fVu4uLiITZs26Y65du2aKFeunNi1a5fVxm7PCt9XIYSIjIwUAwcOLPYc3teSZWRkCAAiISFBCMHn1VwK31ch+LyaU9WqVcXHH3/M59XMtPdVCD6vpK/MzlA8fPgQx44dQ58+ffTa+/Tpg0OHDtloVI7n/Pnz8PPzQ2BgIP7zn//g0qVLAPKrNqanp+vdX5VKhe7du/P+ymTKvTx27BgePXqkd4yfnx+aNm3K+12Cffv2oWbNmmjQoAHGjh2LjIwM3T7e15JlZmYCALy8vADweTWXwvdVi89r6eTl5WHTpk24e/cuQkND+byaSeH7qsXnlbTsvlK2Ujdu3EBeXh68vb312r29vZGenm6jUTmWDh06YMOGDWjQoAGuX7+OhQsXolOnTjh16pTuHhq6v1euXLHFcB2WKfcyPT0drq6uqFq1apFj+DwXLzw8HE8//TQCAgKQkpKCV199FY899hiOHTsGlUrF+1oCIQSio6PRpUsXNG3aFACfV3MwdF8BPq+lcfLkSYSGhuLBgweoXLkytm7dipCQEN0vrnxelSnuvgJ8XklfmQ0otCRJ0vsshCjSRoaFh4frfm7WrBlCQ0NRv359rF+/Xpd4xftrPkruJe+3cc8++6zu56ZNm6Jt27YICAjADz/8gIiIiGLP433N99JLLyE5ORkHDx4sso/Pq3LF3Vc+r8o1bNgQJ06cwO3bt7F582ZERkYiISFBt5/PqzLF3deQkBA+r6SnzC55ql69OsqXL18kCs7IyCjyLxVkmkqVKqFZs2Y4f/687m1PvL+lZ8q99PHxwcOHD3Hr1q1ij6GS+fr6IiAgAOfPnwfA+2rMpEmT8N1332Hv3r2oXbu2rp3Pa+kUd18N4fNqOldXVwQFBaFt27aIi4tDixYt8Pbbb/N5LaXi7qshfF6dW5kNKFxdXdGmTRvEx8frtcfHx6NTp042GpVjy8nJwZkzZ+Dr64vAwED4+Pjo3d+HDx8iISGB91cmU+5lmzZt4OLiondMWloa/vjjD95vGW7evImrV6/C19cXAO+rIUIIvPTSS9iyZQt+/vlnBAYG6u3n86pMSffVED6vygkhkJOTw+fVzLT31RA+r07O6mngVrRp0ybh4uIi1qxZI06fPi2ioqJEpUqVxOXLl209NIcwbdo0sW/fPnHp0iVx+PBh8eSTTwoPDw/d/Vu0aJFQq9Viy5Yt4uTJk2LIkCHC19dXZGVl2Xjk9ic7O1skJSWJpKQkAUAsW7ZMJCUliStXrgghTLuX48ePF7Vr1xY//vijOH78uHjsscdEixYtRG5urq2+ls0Zu6/Z2dli2rRp4tChQyIlJUXs3btXhIaGilq1avG+GvHiiy8KtVot9u3bJ9LS0nTbvXv3dMfweZWvpPvK51W5OXPmiP3794uUlBSRnJwsXn75ZVGuXDmxZ88eIQSfV6WM3Vc+r1RYmQ4ohBDivffeEwEBAcLV1VW0bt1a7xV9ZNyzzz4rfH19hYuLi/Dz8xMRERHi1KlTuv0ajUbMnz9f+Pj4CJVKJbp16yZOnjxpwxHbr7179woARbbIyEghhGn38v79++Kll14SXl5ewt3dXTz55JMiNTXVBt/Gfhi7r/fu3RN9+vQRNWrUEC4uLqJOnToiMjKyyD3jfdVn6H4CEGvXrtUdw+dVvpLuK59X5caMGaP7/3yNGjVEr169dMGEEHxelTJ2X/m8UmGSEEJYbz6EiIiIiIjKkjKbQ0FERERERJbHgIKIiIiIiBRjQEFERERERIoxoCAiIiIiIsUYUBARERERkWIMKIiIiIiISDEGFEREREREpBgDCiIiIiIiUowBBRGVaZcvX4YkSThx4oRF+pckCd9++63i8/ft2wdJkiBJEgYNGmT02B49eiAqKkrxtcg47Z9DlSpVbD0UIiKHwoCCiCxm1KhRJf6SbGn+/v5IS0tD06ZNAfzvF/jbt2/bdFyFnT17FuvWrbP1MJxCcc9lWloaVqxYYfXxEBE5OgYURFSmlS9fHj4+PqhQoYKth2JUzZo17eJfxh89emTrIdiMj48P1Gq1rYdBRORwGFAQkc0kJCSgffv2UKlU8PX1xezZs5Gbm6vb36NHD0yePBkzZ86El5cXfHx8EBMTo9fHn3/+iS5dusDNzQ0hISH48ccf9ZYhFVzydPnyZfTs2RMAULVqVUiShFGjRgEA6tatW+Rfp1u2bKl3vfPnz6Nbt266a8XHxxf5TteuXcOzzz6LqlWrolq1ahg4cCAuX74s+97cvXsXI0eOROXKleHr64ulS5cWOebhw4eYOXMmatWqhUqVKqFDhw7Yt2+f3jEfffQR/P39UbFiRQwePBjLli3TC1xiYmLQsmVLfPLJJ6hXrx5UKhWEEMjMzMQLL7yAmjVrwtPTE4899hh+//13vb6///57tGnTBm5ubqhXrx4WLFig9+cXExODOnXqQKVSwc/PD5MnTzbpu5f0vW7evIkhQ4agdu3aqFixIpo1a4YvvvhCr49vvvkGzZo1g7u7O6pVq4bevXvj7t27iImJwfr167Ft2zbdEqfC94yIiOSx73+yI6Iy69q1a+jbty9GjRqFDRs24M8//8TYsWPh5uam90v8+vXrER0djSNHjuDXX3/FqFGj0LlzZ4SFhUGj0WDQoEGoU6cOjhw5guzsbEybNq3Ya/r7+2Pz5s34v//7P5w9exaenp5wd3c3abwajQYRERGoXr06Dh8+jKysrCL5DPfu3UPPnj3RtWtX7N+/HxUqVMDChQvxxBNPIDk5Ga6uribfnxkzZmDv3r3YunUrfHx88PLLL+PYsWNo2bKl7pjRo0fj8uXL2LRpE/z8/LB161Y88cQTOHnyJIKDg/HLL79g/PjxWLx4MQYMGIAff/wRr776apFrXbhwAV999RU2b96M8uXLAwD69esHLy8v7NixA2q1Gh9++CF69eqFc+fOwcvLC7t378bw4cPxzjvvoGvXrrh48SJeeOEFAMD8+fPxzTffYPny5di0aROaNGmC9PT0IgFJcUr6Xg8ePECbNm0wa9YseHp64ocffsCIESNQr149dOjQAWlpaRgyZAiWLFmCwYMHIzs7GwcOHIAQAtOnT8eZM2eQlZWFtWvXAgC8vLxM/nMhIiIDBBGRhURGRoqBAwca3Pfyyy+Lhg0bCo1Go2t77733ROXKlUVeXp4QQoju3buLLl266J3Xrl07MWvWLCGEEDt37hQVKlQQaWlpuv3x8fECgNi6dasQQoiUlBQBQCQlJQkhhNi7d68AIG7duqXXb0BAgFi+fLleW4sWLcT8+fOFEELs3r1blC9fXly9elW3f+fOnXrXWrNmTZHvlJOTI9zd3cXu3bsN3gdD48nOzhaurq5i06ZNurabN28Kd3d3MWXKFCGEEBcuXBCSJIlr167p9derVy8xZ84cIYQQzz77rOjXr5/e/mHDhgm1Wq37PH/+fOHi4iIyMjJ0bT/99JPw9PQUDx480Du3fv364sMPPxRCCNG1a1cRGxurt//TTz8Vvr6+Qgghli5dKho0aCAePnxo8HsXx5TvZUjfvn3FtGnThBBCHDt2TAAQly9fNnissedy7dq1eveHiIhKxhkKIrKJM2fOIDQ0FJIk6do6d+6MO3fu4K+//kKdOnUAAM2bN9c7z9fXFxkZGQDyE5n9/f3h4+Oj29++fXuLjbdOnTqoXbu2ri00NFTvmGPHjuHChQvw8PDQa3/w4AEuXrxo8rUuXryIhw8f6vXv5eWFhg0b6j4fP34cQgg0aNBA79ycnBxUq1YNQP79GTx4sN7+9u3bY/v27XptAQEBqFGjht73uHPnjq4frfv37+u+x7Fjx5CYmIg33nhDtz8vLw8PHjzAvXv38PTTT2PFihWoV68ennjiCfTt2xf9+/cvMZfFlO+Vl5eHRYsW4csvv8S1a9eQk5ODnJwcVKpUCQDQokUL9OrVC82aNcPjjz+OPn364KmnnkLVqlWNXpuIiJRhQEFENiGE0AsmtG0A9NpdXFz0jpEkCRqNptg+lCpXrpzu+loFE5QL7ys8TiB/WVSbNm3w+eefFzm24C/sJTF0rcI0Gg3Kly+PY8eO6ZYpaVWuXFnXT3H3uCDtL+IF+/b19TWYW6DNv9BoNFiwYAEiIiKKHOPm5gZ/f3+cPXsW8fHx+PHHHzFhwgS8+eabSEhIKPJnKvd7LV26FMuXL8eKFSvQrFkzVKpUCVFRUXj48CGA/ET8+Ph4HDp0CHv27MG7776LuXPn4siRIwgMDCz22kREpAwDCiKyiZCQEGzevFnvl95Dhw7Bw8MDtWrVMqmPRo0aITU1FdevX4e3tzcAIDEx0eg52jyGvLw8vfYaNWogLS1N9zkrKwspKSl6401NTcXff/8NPz8/AMCvv/6q10fr1q3x5Zdf6hKZlQoKCoKLiwsOHz6sm6m5desWzp07h+7duwMAWrVqhby8PGRkZKBr164G+2nUqBF+++03vbajR4+WeP3WrVsjPT0dFSpUQN26dYs95uzZswgKCiq2H3d3dwwYMAADBgzAxIkT0ahRI5w8eRKtW7cu9hxTvteBAwcwcOBADB8+HEB+EHL+/Hk0btxYd4wkSejcuTM6d+6MefPmISAgAFu3bkV0dDRcXV2L/PkTEZFyfMsTEVlUZmYmTpw4obelpqZiwoQJuHr1KiZNmoQ///wT27Ztw/z58xEdHY1y5Uz7qyksLAz169dHZGQkkpOT8csvv2Du3LkAis4eaAUEBECSJGzfvh3//PMP7ty5AwB47LHH8Omnn+LAgQP4448/EBkZqfcv5L1790bDhg0xcuRI/P777zhw4IDuWlrDhg1D9erVMXDgQBw4cAApKSlISEjAlClT8Ndff5l8zypXroznnnsOM2bMwE8//YQ//vgDo0aN0rsvDRo0wLBhwzBy5Ehs2bIFKSkpSExMxOLFi7Fjxw4AwKRJk7Bjxw4sW7YM58+fx4cffoidO3eWOKvTu3dvhIaGYtCgQdi9ezcuX76MQ4cO4ZVXXtEFJPPmzcOGDRsQExODU6dO4cyZM/jyyy/xyiuvAADWrVuHNWvW4I8//sClS5fw6aefwt3dHQEBAUavbcr3CgoK0s1AnDlzBuPGjUN6erqujyNHjiA2NhZHjx5FamoqtmzZgn/++UcXcNStWxfJyck4e/Ysbty44dSvyiUiMgsb5W4QkROIjIwUAIpskZGRQggh9u3bJ9q1aydcXV2Fj4+PmDVrlnj06JHu/O7du+uSkLUGDhyoO18IIc6cOSM6d+4sXF1dRaNGjcT3338vAIhdu3YJIYomZQshxGuvvSZ8fHyEJEm6vjIzM8UzzzwjPD09hb+/v1i3bp1eUrYQQpw9e1Z06dJFuLq6igYNGohdu3bpJWULIURaWpoYOXKkqF69ulCpVKJevXpi7NixIjMz0+A9Ki5JPDs7WwwfPlxUrFhReHt7iyVLlhS5Hw8fPhTz5s0TdevWFS4uLsLHx0cMHjxYJCcn645ZvXq1qFWrlnB3dxeDBg0SCxcuFD4+Prr98+fPFy1atCgyrqysLDFp0iTh5+cnXFxchL+/vxg2bJhITU3VHbNr1y7RqVMn4e7uLjw9PUX79u3F6tWrhRBCbN26VXTo0EF4enqKSpUqiY4dO4off/zR4D0orKTvdfPmTTFw4EBRuXJlUbNmTfHKK6+IkSNH6hKtT58+LR5//HFRo0YNoVKpRIMGDcS7776r6z8jI0OEhYWJypUrCwBi7969un1MyiYikk8SwoTFukREDuKXX35Bly5dcOHCBdSvX9/WwynRvn370LNnT9y6dcsqhe3Gjh2LP//8EwcOHLD4tRzRunXrEBUVZXeV1ImI7BlzKIjIoW3duhWVK1dGcHAwLly4gClTpqBz584OEUwUVLt2bfTv379IgbbSeuuttxAWFoZKlSph586dWL9+Pd5//32zXqOsqFy5MnJzc+Hm5mbroRARORQGFETk0LKzszFz5kxcvXoV1atXR+/evQ1WlbZXHTp0wPnz5wH87y1G5vTbb79hyZIlyM7ORr169fDOO+/g+eefN/t1THXgwAGEh4cXu1+b02ILJ06cAIAib5ciIiLjuOSJiIis5v79+7h27Vqx+429NYqIiOwTAwoiIiIiIlKMr40lIiIiIiLFGFAQEREREZFiDCiIiIiIiEgxBhRERERERKQYAwoiIiIiIlKMAQURERERESnGgIKIiIiIiBT7f6dzGRbqyYFIAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "basin_surf_interp = basin_surf.interp_like(ds.sst, method='nearest')\n",
    "basin_surf_interp.plot(vmax=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "621a9b57",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
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       " *\n",
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       "  --xr-background-color-row-even: #111111;\n",
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       "\n",
       ".xr-wrap {\n",
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       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
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       "\n",
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       "  margin-bottom: 4px;\n",
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       "\n",
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       ".xr-header > ul {\n",
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       "  margin-top: 0;\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-section-item input {\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-section-summary-in + label:before {\n",
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       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
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       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
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       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
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       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
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       "\n",
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       "\n",
       ".xr-section-details {\n",
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       "\n",
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       "\n",
       ".xr-array-wrap {\n",
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       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
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       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
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       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
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       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
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       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
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       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
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       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
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       "\n",
       ".xr-dim-list:before {\n",
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       "\n",
       ".xr-dim-list:after {\n",
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       "\n",
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       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
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       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
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       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
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       "\n",
       ".xr-var-dtype {\n",
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       ".xr-var-preview {\n",
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       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
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       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
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       ".xr-attrs dt {\n",
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       "  padding-right: 10px;\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
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       ".xr-var-data,\n",
       ".xr-index-data {\n",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
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       "  display: block;\n",
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       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
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       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;Z&#x27; ()&gt;\n",
       "array(0., dtype=float32)\n",
       "Coordinates:\n",
       "    Z        float32 0.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'Z'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-456439c3-f417-4463-b168-79b378fc103d' class='xr-array-in' type='checkbox' checked><label for='section-456439c3-f417-4463-b168-79b378fc103d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0</span></div><div class='xr-array-data'><pre>array(0., dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-d8cf80d1-8b7e-49f0-b13b-55a7661f10d9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d8cf80d1-8b7e-49f0-b13b-55a7661f10d9' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-1c8f4a1a-16ed-498c-8976-2a291cd7091b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c8f4a1a-16ed-498c-8976-2a291cd7091b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d20876ba-dbeb-4b95-92a9-2ce2bd526ff2' class='xr-var-data-in' type='checkbox'><label for='data-d20876ba-dbeb-4b95-92a9-2ce2bd526ff2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>gridtype :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(0., dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6d6e9ce0-c122-46f6-a2ad-82fa8183a92a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6d6e9ce0-c122-46f6-a2ad-82fa8183a92a' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-46429955-a311-41a1-9292-693270aa97ae' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-46429955-a311-41a1-9292-693270aa97ae' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'Z' ()>\n",
       "array(0., dtype=float32)\n",
       "Coordinates:\n",
       "    Z        float32 0.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "basin_surf_interp.Z.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "107eebe5-068a-48ce-8d9a-cccaa9e7f72a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f250b6b9090>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "basin_surf.plot(vmax=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d06f62b4-da02-4917-b3e5-c45b61b0c996",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sst&#x27; (time: 498, basin: 13)&gt;\n",
       "array([[ 9.67025757e-04, -5.45219421e-01,  2.34195709e-01, ...,\n",
       "         6.45397186e-01,  2.33073330e+00, -1.52114868e-01],\n",
       "       [-2.44443893e-01, -2.58707047e-01, -6.30683899e-02, ...,\n",
       "         2.15253830e-02,  1.32734776e+00,  9.61685181e-02],\n",
       "       [ 1.47209167e-01,  7.94410706e-02,  2.36358643e-02, ...,\n",
       "         6.90647125e-01,  6.49910927e-01, -1.16449356e-01],\n",
       "       ...,\n",
       "       [ 4.12788391e-01, -1.45435333e-02,  6.84179306e-01, ...,\n",
       "         2.44339561e+00,  1.52057743e+00,  6.60516739e-01],\n",
       "       [ 1.17527390e+00,  6.70267105e-01,  3.88238907e-01, ...,\n",
       "         1.58049774e+00,  1.21736145e+00,  2.97332764e-01],\n",
       "       [ 4.15819168e-01, -9.90676880e-03,  1.01445770e+00, ...,\n",
       "         1.07869530e+00,  8.23087692e-01,  1.04199600e+00]], dtype=float32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1982-01-31 1982-02-28 ... 2023-06-30\n",
       "    month    (time) int64 ...\n",
       "    Z        float32 0.0\n",
       "  * basin    (basin) float64 1.0 2.0 3.0 4.0 5.0 6.0 ... 9.0 11.0 12.0 53.0 56.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 498</li><li><span class='xr-has-index'>basin</span>: 13</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0b2f06ac-1ff8-4586-b87f-146fdfcf13ea' class='xr-array-in' type='checkbox' checked><label for='section-0b2f06ac-1ff8-4586-b87f-146fdfcf13ea' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.000967 -0.5452 0.2342 0.2572 -1.521 ... 0.331 1.079 0.8231 1.042</span></div><div class='xr-array-data'><pre>array([[ 9.67025757e-04, -5.45219421e-01,  2.34195709e-01, ...,\n",
       "         6.45397186e-01,  2.33073330e+00, -1.52114868e-01],\n",
       "       [-2.44443893e-01, -2.58707047e-01, -6.30683899e-02, ...,\n",
       "         2.15253830e-02,  1.32734776e+00,  9.61685181e-02],\n",
       "       [ 1.47209167e-01,  7.94410706e-02,  2.36358643e-02, ...,\n",
       "         6.90647125e-01,  6.49910927e-01, -1.16449356e-01],\n",
       "       ...,\n",
       "       [ 4.12788391e-01, -1.45435333e-02,  6.84179306e-01, ...,\n",
       "         2.44339561e+00,  1.52057743e+00,  6.60516739e-01],\n",
       "       [ 1.17527390e+00,  6.70267105e-01,  3.88238907e-01, ...,\n",
       "         1.58049774e+00,  1.21736145e+00,  2.97332764e-01],\n",
       "       [ 4.15819168e-01, -9.90676880e-03,  1.01445770e+00, ...,\n",
       "         1.07869530e+00,  8.23087692e-01,  1.04199600e+00]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-0d9c6f70-ce90-4a5c-9694-855f24069a2f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0d9c6f70-ce90-4a5c-9694-855f24069a2f' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1982-01-31 ... 2023-06-30</div><input id='attrs-febe921f-530b-4b24-aa86-543a8bc4364a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-febe921f-530b-4b24-aa86-543a8bc4364a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f6052be-041b-431d-988c-a5c23c353f3f' class='xr-var-data-in' type='checkbox'><label for='data-2f6052be-041b-431d-988c-a5c23c353f3f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1982-01-31T00:00:00.000000000&#x27;, &#x27;1982-02-28T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-03-31T00:00:00.000000000&#x27;, ..., &#x27;2023-04-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;2023-05-31T00:00:00.000000000&#x27;, &#x27;2023-06-30T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>month</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-21e8450a-17b8-4743-81ed-8eca03c02363' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-21e8450a-17b8-4743-81ed-8eca03c02363' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cb90ac0-e937-42d7-9ab5-a898779d703d' class='xr-var-data-in' type='checkbox'><label for='data-9cb90ac0-e937-42d7-9ab5-a898779d703d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[498 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-bb13a543-3492-4065-a4c1-a0ed5fa70e02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb13a543-3492-4065-a4c1-a0ed5fa70e02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a96adc3-dcf9-4e97-bda1-e10fb2574b8b' class='xr-var-data-in' type='checkbox'><label for='data-4a96adc3-dcf9-4e97-bda1-e10fb2574b8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>gridtype :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(0., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>basin</span></div><div class='xr-var-dims'>(basin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0 3.0 4.0 ... 12.0 53.0 56.0</div><input id='attrs-243f6243-17ff-4643-aa9c-e9082c5e66b2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-243f6243-17ff-4643-aa9c-e9082c5e66b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7137c392-6233-41a6-ad3f-be4c25b03369' class='xr-var-data-in' type='checkbox'><label for='data-7137c392-6233-41a6-ad3f-be4c25b03369' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 11., 12., 53., 56.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-da1d03dc-573b-4aeb-a2b1-0d169e916a7f' class='xr-section-summary-in' type='checkbox'  ><label for='section-da1d03dc-573b-4aeb-a2b1-0d169e916a7f' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f5438276-446f-4299-b1a5-221eb1292b20' class='xr-index-data-in' type='checkbox'/><label for='index-f5438276-446f-4299-b1a5-221eb1292b20' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1982-01-31&#x27;, &#x27;1982-02-28&#x27;, &#x27;1982-03-31&#x27;, &#x27;1982-04-30&#x27;,\n",
       "               &#x27;1982-05-31&#x27;, &#x27;1982-06-30&#x27;, &#x27;1982-07-31&#x27;, &#x27;1982-08-31&#x27;,\n",
       "               &#x27;1982-09-30&#x27;, &#x27;1982-10-31&#x27;,\n",
       "               ...\n",
       "               &#x27;2022-09-30&#x27;, &#x27;2022-10-31&#x27;, &#x27;2022-11-30&#x27;, &#x27;2022-12-31&#x27;,\n",
       "               &#x27;2023-01-31&#x27;, &#x27;2023-02-28&#x27;, &#x27;2023-03-31&#x27;, &#x27;2023-04-30&#x27;,\n",
       "               &#x27;2023-05-31&#x27;, &#x27;2023-06-30&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=498, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>basin</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1d02cd2b-3638-4013-9298-619d79c4b133' class='xr-index-data-in' type='checkbox'/><label for='index-1d02cd2b-3638-4013-9298-619d79c4b133' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 11.0, 12.0, 53.0,\n",
       "              56.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;basin&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9c1abbb2-f251-4985-90b4-516841605ef3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9c1abbb2-f251-4985-90b4-516841605ef3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'sst' (time: 498, basin: 13)>\n",
       "array([[ 9.67025757e-04, -5.45219421e-01,  2.34195709e-01, ...,\n",
       "         6.45397186e-01,  2.33073330e+00, -1.52114868e-01],\n",
       "       [-2.44443893e-01, -2.58707047e-01, -6.30683899e-02, ...,\n",
       "         2.15253830e-02,  1.32734776e+00,  9.61685181e-02],\n",
       "       [ 1.47209167e-01,  7.94410706e-02,  2.36358643e-02, ...,\n",
       "         6.90647125e-01,  6.49910927e-01, -1.16449356e-01],\n",
       "       ...,\n",
       "       [ 4.12788391e-01, -1.45435333e-02,  6.84179306e-01, ...,\n",
       "         2.44339561e+00,  1.52057743e+00,  6.60516739e-01],\n",
       "       [ 1.17527390e+00,  6.70267105e-01,  3.88238907e-01, ...,\n",
       "         1.58049774e+00,  1.21736145e+00,  2.97332764e-01],\n",
       "       [ 4.15819168e-01, -9.90676880e-03,  1.01445770e+00, ...,\n",
       "         1.07869530e+00,  8.23087692e-01,  1.04199600e+00]], dtype=float32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1982-01-31 1982-02-28 ... 2023-06-30\n",
       "    month    (time) int64 ...\n",
       "    Z        float32 0.0\n",
       "  * basin    (basin) float64 1.0 2.0 3.0 4.0 5.0 6.0 ... 9.0 11.0 12.0 53.0 56.0"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.sst.groupby(basin_surf_interp).first()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3480a9cf-4dd3-4dbb-a06a-05c979d54cd6",
   "metadata": {},
   "outputs": [],
   "source": [
    "Ylabel  = 'Anomalia de temperatura [($^\\circ$C)]'\n",
    "Xlabel  = 'Fecha'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3d56ad22-5807-49d3-9a34-8a7b231f92f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "sst = ds.sst\n",
    "weights = np.cos(np.deg2rad(sst.lat))\n",
    "weights = weights/weights.max()\n",
    "weights.name = \"weights\"\n",
    "sst_weighted = sst.weighted(weights)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b72aeb2e-e836-4363-b1ec-a5a9ce05c6f3",
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       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sst&#x27; (time: 498, lat: 320, lon: 1440)&gt;\n",
       "array([[[-0.205454, -0.13114 , ..., -0.152756, -0.199118],\n",
       "        [-0.158909, -0.051729, ..., -0.065014, -0.154514],\n",
       "        ...,\n",
       "        [ 0.039501,  0.029795, ..., -0.012727,  0.02654 ],\n",
       "        [-0.248123, -0.280674, ..., -0.185513, -0.202551]],\n",
       "\n",
       "       [[-0.162674, -0.234509, ..., -0.026775, -0.095818],\n",
       "        [-0.024487, -0.050869, ...,  0.030609,  0.011181],\n",
       "        ...,\n",
       "        [-0.859945, -0.908322, ..., -0.765082, -0.807078],\n",
       "        [-0.846609, -0.913227, ..., -0.734634, -0.789119]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[ 1.178213,  1.185482, ...,  1.113373,  1.132818],\n",
       "        [ 1.127716,  1.123579, ...,  1.101875,  1.10918 ],\n",
       "        ...,\n",
       "        [-1.910234, -1.969765, ..., -1.74695 , -1.839941],\n",
       "        [-1.737683, -1.806979, ..., -1.577713, -1.661144]],\n",
       "\n",
       "       [[ 0.374878,  0.420666, ...,  0.324183,  0.343634],\n",
       "        [ 0.436182,  0.447638, ...,  0.416973,  0.41258 ],\n",
       "        ...,\n",
       "        [-1.389333, -1.436272, ..., -1.295091, -1.346454],\n",
       "        [-1.178091, -1.220334, ..., -1.11    , -1.141909]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 0.125 0.375 0.625 0.875 ... 79.12 79.38 79.62 79.88\n",
       "  * lon      (lon) float32 0.125 0.375 0.625 0.875 ... 359.1 359.4 359.6 359.9\n",
       "  * time     (time) datetime64[ns] 1982-01-31 1982-02-28 ... 2023-06-30\n",
       "    month    (time) int64 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 498</li><li><span class='xr-has-index'>lat</span>: 320</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3fceadaa-6aaf-417d-aa09-161583c34cf5' class='xr-array-in' type='checkbox' checked><label for='section-3fceadaa-6aaf-417d-aa09-161583c34cf5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-0.2055 -0.1311 0.000967 0.1336 0.1776 ... -1.048 -1.08 -1.11 -1.142</span></div><div class='xr-array-data'><pre>array([[[-0.205454, -0.13114 , ..., -0.152756, -0.199118],\n",
       "        [-0.158909, -0.051729, ..., -0.065014, -0.154514],\n",
       "        ...,\n",
       "        [ 0.039501,  0.029795, ..., -0.012727,  0.02654 ],\n",
       "        [-0.248123, -0.280674, ..., -0.185513, -0.202551]],\n",
       "\n",
       "       [[-0.162674, -0.234509, ..., -0.026775, -0.095818],\n",
       "        [-0.024487, -0.050869, ...,  0.030609,  0.011181],\n",
       "        ...,\n",
       "        [-0.859945, -0.908322, ..., -0.765082, -0.807078],\n",
       "        [-0.846609, -0.913227, ..., -0.734634, -0.789119]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[ 1.178213,  1.185482, ...,  1.113373,  1.132818],\n",
       "        [ 1.127716,  1.123579, ...,  1.101875,  1.10918 ],\n",
       "        ...,\n",
       "        [-1.910234, -1.969765, ..., -1.74695 , -1.839941],\n",
       "        [-1.737683, -1.806979, ..., -1.577713, -1.661144]],\n",
       "\n",
       "       [[ 0.374878,  0.420666, ...,  0.324183,  0.343634],\n",
       "        [ 0.436182,  0.447638, ...,  0.416973,  0.41258 ],\n",
       "        ...,\n",
       "        [-1.389333, -1.436272, ..., -1.295091, -1.346454],\n",
       "        [-1.178091, -1.220334, ..., -1.11    , -1.141909]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-7661854e-e87e-4a02-a659-c83660f7c03d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7661854e-e87e-4a02-a659-c83660f7c03d' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.125 0.375 0.625 ... 79.62 79.88</div><input id='attrs-2f436c78-4100-4bd9-9ab2-e50f2e5294a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f436c78-4100-4bd9-9ab2-e50f2e5294a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6ba14fb-9f56-4dee-a5bf-5dbca5757dab' class='xr-var-data-in' type='checkbox'><label for='data-f6ba14fb-9f56-4dee-a5bf-5dbca5757dab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[-89.875  89.875]</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([ 0.125,  0.375,  0.625, ..., 79.375, 79.625, 79.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.125 0.375 0.625 ... 359.6 359.9</div><input id='attrs-2c14fa77-a22c-47ac-a50f-7e4c8bb787b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c14fa77-a22c-47ac-a50f-7e4c8bb787b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e26dc764-187b-49a1-aef6-3f24e61185e6' class='xr-var-data-in' type='checkbox'><label for='data-e26dc764-187b-49a1-aef6-3f24e61185e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>actual_range :</span></dt><dd>[1.25000e-01 3.59875e+02]</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([1.25000e-01, 3.75000e-01, 6.25000e-01, ..., 3.59375e+02, 3.59625e+02,\n",
       "       3.59875e+02], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1982-01-31 ... 2023-06-30</div><input id='attrs-e7f39a55-6716-47cf-8e76-a18e668ee1ef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e7f39a55-6716-47cf-8e76-a18e668ee1ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69e42f5e-6ca8-4cc4-8ed4-f3169652f6e6' class='xr-var-data-in' type='checkbox'><label for='data-69e42f5e-6ca8-4cc4-8ed4-f3169652f6e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1982-01-31T00:00:00.000000000&#x27;, &#x27;1982-02-28T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-03-31T00:00:00.000000000&#x27;, ..., &#x27;2023-04-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;2023-05-31T00:00:00.000000000&#x27;, &#x27;2023-06-30T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>month</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bf734adc-27f4-432e-9190-d5828100b2a6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bf734adc-27f4-432e-9190-d5828100b2a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fca43044-7f6e-4e8f-ae45-2d8d3eeed43e' class='xr-var-data-in' type='checkbox'><label for='data-fca43044-7f6e-4e8f-ae45-2d8d3eeed43e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[498 values with dtype=int64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0d6b594e-2166-4ed4-a876-c22c7e691391' class='xr-section-summary-in' type='checkbox'  ><label for='section-0d6b594e-2166-4ed4-a876-c22c7e691391' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-84ae242c-d285-49a7-8ad6-664893923560' class='xr-index-data-in' type='checkbox'/><label for='index-84ae242c-d285-49a7-8ad6-664893923560' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ 0.125,  0.375,  0.625,  0.875,  1.125,  1.375,  1.625,  1.875,\n",
       "               2.125,  2.375,\n",
       "              ...\n",
       "              77.625, 77.875, 78.125, 78.375, 78.625, 78.875, 79.125, 79.375,\n",
       "              79.625, 79.875],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=320))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-86c4df56-dc45-42bc-9d16-396cb31ead34' class='xr-index-data-in' type='checkbox'/><label for='index-86c4df56-dc45-42bc-9d16-396cb31ead34' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([  0.125,   0.375,   0.625,   0.875,   1.125,   1.375,   1.625,\n",
       "                1.875,   2.125,   2.375,\n",
       "              ...\n",
       "              357.625, 357.875, 358.125, 358.375, 358.625, 358.875, 359.125,\n",
       "              359.375, 359.625, 359.875],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7708424e-2021-4751-b94d-9a18558d7157' class='xr-index-data-in' type='checkbox'/><label for='index-7708424e-2021-4751-b94d-9a18558d7157' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1982-01-31&#x27;, &#x27;1982-02-28&#x27;, &#x27;1982-03-31&#x27;, &#x27;1982-04-30&#x27;,\n",
       "               &#x27;1982-05-31&#x27;, &#x27;1982-06-30&#x27;, &#x27;1982-07-31&#x27;, &#x27;1982-08-31&#x27;,\n",
       "               &#x27;1982-09-30&#x27;, &#x27;1982-10-31&#x27;,\n",
       "               ...\n",
       "               &#x27;2022-09-30&#x27;, &#x27;2022-10-31&#x27;, &#x27;2022-11-30&#x27;, &#x27;2022-12-31&#x27;,\n",
       "               &#x27;2023-01-31&#x27;, &#x27;2023-02-28&#x27;, &#x27;2023-03-31&#x27;, &#x27;2023-04-30&#x27;,\n",
       "               &#x27;2023-05-31&#x27;, &#x27;2023-06-30&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=498, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d1715ed2-34f4-4dbb-97fc-8107fcd9fb51' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d1715ed2-34f4-4dbb-97fc-8107fcd9fb51' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'sst' (time: 498, lat: 320, lon: 1440)>\n",
       "array([[[-0.205454, -0.13114 , ..., -0.152756, -0.199118],\n",
       "        [-0.158909, -0.051729, ..., -0.065014, -0.154514],\n",
       "        ...,\n",
       "        [ 0.039501,  0.029795, ..., -0.012727,  0.02654 ],\n",
       "        [-0.248123, -0.280674, ..., -0.185513, -0.202551]],\n",
       "\n",
       "       [[-0.162674, -0.234509, ..., -0.026775, -0.095818],\n",
       "        [-0.024487, -0.050869, ...,  0.030609,  0.011181],\n",
       "        ...,\n",
       "        [-0.859945, -0.908322, ..., -0.765082, -0.807078],\n",
       "        [-0.846609, -0.913227, ..., -0.734634, -0.789119]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[ 1.178213,  1.185482, ...,  1.113373,  1.132818],\n",
       "        [ 1.127716,  1.123579, ...,  1.101875,  1.10918 ],\n",
       "        ...,\n",
       "        [-1.910234, -1.969765, ..., -1.74695 , -1.839941],\n",
       "        [-1.737683, -1.806979, ..., -1.577713, -1.661144]],\n",
       "\n",
       "       [[ 0.374878,  0.420666, ...,  0.324183,  0.343634],\n",
       "        [ 0.436182,  0.447638, ...,  0.416973,  0.41258 ],\n",
       "        ...,\n",
       "        [-1.389333, -1.436272, ..., -1.295091, -1.346454],\n",
       "        [-1.178091, -1.220334, ..., -1.11    , -1.141909]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 0.125 0.375 0.625 0.875 ... 79.12 79.38 79.62 79.88\n",
       "  * lon      (lon) float32 0.125 0.375 0.625 0.875 ... 359.1 359.4 359.6 359.9\n",
       "  * time     (time) datetime64[ns] 1982-01-31 1982-02-28 ... 2023-06-30\n",
       "    month    (time) int64 ..."
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a3aa36bd-5905-49fe-a346-d4a2d874ef6f",
   "metadata": {},
   "outputs": [],
   "source": [
    "GPbasin_mean_sst = ds.groupby(basin_surf_interp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "23b9716f-648e-4533-994e-ee4a6e078b27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f597025c450>]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(weights)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "39204a77-db0e-4677-9767-041c24223ec1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (basin: 13, time: 498)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1982-01-31 1982-02-28 ... 2023-06-30\n",
       "    month    (time) int64 1 2 3 4 5 6 7 8 9 10 11 ... 8 9 10 11 12 1 2 3 4 5 6\n",
       "    Z        float32 0.0\n",
       "  * basin    (basin) float64 1.0 2.0 3.0 4.0 5.0 6.0 ... 9.0 11.0 12.0 53.0 56.0\n",
       "Data variables:\n",
       "    sst      (basin, time) float32 0.000967 -0.2444 0.1472 ... 0.2973 1.042</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8fd6f9f0-3fe0-46dc-974e-a9a87a33502f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8fd6f9f0-3fe0-46dc-974e-a9a87a33502f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>basin</span>: 13</li><li><span class='xr-has-index'>time</span>: 498</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5065b3df-f751-4e94-a4a4-94acef3c644f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5065b3df-f751-4e94-a4a4-94acef3c644f' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1982-01-31 ... 2023-06-30</div><input id='attrs-3bb7c42c-4d4b-41a1-8729-78dab52fb969' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3bb7c42c-4d4b-41a1-8729-78dab52fb969' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e7f0161-7708-46ab-aa64-eebf339d96aa' class='xr-var-data-in' type='checkbox'><label for='data-2e7f0161-7708-46ab-aa64-eebf339d96aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1982-01-31T00:00:00.000000000&#x27;, &#x27;1982-02-28T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-03-31T00:00:00.000000000&#x27;, ..., &#x27;2023-04-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;2023-05-31T00:00:00.000000000&#x27;, &#x27;2023-06-30T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>month</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 ... 12 1 2 3 4 5 6</div><input id='attrs-ff5de349-7697-4bf4-901b-a99ada18fba8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ff5de349-7697-4bf4-901b-a99ada18fba8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c2891e2-c5ed-4569-99d3-46a063b48299' class='xr-var-data-in' type='checkbox'><label for='data-3c2891e2-c5ed-4569-99d3-46a063b48299' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,\n",
       "        6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10,\n",
       "       11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,\n",
       "        4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,\n",
       "        9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,\n",
       "        2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,\n",
       "        7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11,\n",
       "       12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,\n",
       "        5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9,\n",
       "       10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,\n",
       "        3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,\n",
       "        8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,\n",
       "        1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,\n",
       "        6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10,\n",
       "       11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,\n",
       "        4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,\n",
       "        9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,\n",
       "        2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,\n",
       "        7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11,\n",
       "       12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,\n",
       "        5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9,\n",
       "       10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,\n",
       "        3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,\n",
       "        8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,\n",
       "        1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,\n",
       "        6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10,\n",
       "       11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,\n",
       "        4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,\n",
       "        9, 10, 11, 12,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,\n",
       "        2,  3,  4,  5,  6])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-1dd19ee2-f806-4e78-b0d0-8cf2e2f7c02b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1dd19ee2-f806-4e78-b0d0-8cf2e2f7c02b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-875a5bb7-8093-45e0-a6ff-811cdd459eb8' class='xr-var-data-in' type='checkbox'><label for='data-875a5bb7-8093-45e0-a6ff-811cdd459eb8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>gridtype :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(0., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>basin</span></div><div class='xr-var-dims'>(basin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0 3.0 4.0 ... 12.0 53.0 56.0</div><input id='attrs-b51bd344-1176-4188-8a48-50da92c8c7d6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b51bd344-1176-4188-8a48-50da92c8c7d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56961761-d7ae-4cfb-9f92-36a644e90411' class='xr-var-data-in' type='checkbox'><label for='data-56961761-d7ae-4cfb-9f92-36a644e90411' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 11., 12., 53., 56.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e25c7d2a-fbfa-4e54-bc28-8c67cb493d80' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e25c7d2a-fbfa-4e54-bc28-8c67cb493d80' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(basin, time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.000967 -0.2444 ... 0.2973 1.042</div><input id='attrs-38ab2c84-c625-4cd0-88b9-6b5974a67ba2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-38ab2c84-c625-4cd0-88b9-6b5974a67ba2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3dcb17dc-74cc-46ad-993f-7af1f334e57b' class='xr-var-data-in' type='checkbox'><label for='data-3dcb17dc-74cc-46ad-993f-7af1f334e57b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 9.67025757e-04, -2.44443893e-01,  1.47209167e-01, ...,\n",
       "         4.12788391e-01,  1.17527390e+00,  4.15819168e-01],\n",
       "       [-5.45219421e-01, -2.58707047e-01,  7.94410706e-02, ...,\n",
       "        -1.45435333e-02,  6.70267105e-01, -9.90676880e-03],\n",
       "       [ 2.34195709e-01, -6.30683899e-02,  2.36358643e-02, ...,\n",
       "         6.84179306e-01,  3.88238907e-01,  1.01445770e+00],\n",
       "       ...,\n",
       "       [ 6.45397186e-01,  2.15253830e-02,  6.90647125e-01, ...,\n",
       "         2.44339561e+00,  1.58049774e+00,  1.07869530e+00],\n",
       "       [ 2.33073330e+00,  1.32734776e+00,  6.49910927e-01, ...,\n",
       "         1.52057743e+00,  1.21736145e+00,  8.23087692e-01],\n",
       "       [-1.52114868e-01,  9.61685181e-02, -1.16449356e-01, ...,\n",
       "         6.60516739e-01,  2.97332764e-01,  1.04199600e+00]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-88e95e8d-5524-4e7a-93e5-8f99a46fbde2' class='xr-section-summary-in' type='checkbox'  ><label for='section-88e95e8d-5524-4e7a-93e5-8f99a46fbde2' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0e192bd2-72d4-4d02-af7e-3a25ed7fce13' class='xr-index-data-in' type='checkbox'/><label for='index-0e192bd2-72d4-4d02-af7e-3a25ed7fce13' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1982-01-31&#x27;, &#x27;1982-02-28&#x27;, &#x27;1982-03-31&#x27;, &#x27;1982-04-30&#x27;,\n",
       "               &#x27;1982-05-31&#x27;, &#x27;1982-06-30&#x27;, &#x27;1982-07-31&#x27;, &#x27;1982-08-31&#x27;,\n",
       "               &#x27;1982-09-30&#x27;, &#x27;1982-10-31&#x27;,\n",
       "               ...\n",
       "               &#x27;2022-09-30&#x27;, &#x27;2022-10-31&#x27;, &#x27;2022-11-30&#x27;, &#x27;2022-12-31&#x27;,\n",
       "               &#x27;2023-01-31&#x27;, &#x27;2023-02-28&#x27;, &#x27;2023-03-31&#x27;, &#x27;2023-04-30&#x27;,\n",
       "               &#x27;2023-05-31&#x27;, &#x27;2023-06-30&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=498, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>basin</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-121e7d18-4300-4122-93ae-820354771e7c' class='xr-index-data-in' type='checkbox'/><label for='index-121e7d18-4300-4122-93ae-820354771e7c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 11.0, 12.0, 53.0,\n",
       "              56.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;basin&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-333c4ae2-9976-4a9c-aae1-e57d6233ad41' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-333c4ae2-9976-4a9c-aae1-e57d6233ad41' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (basin: 13, time: 498)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1982-01-31 1982-02-28 ... 2023-06-30\n",
       "    month    (time) int64 1 2 3 4 5 6 7 8 9 10 11 ... 8 9 10 11 12 1 2 3 4 5 6\n",
       "    Z        float32 0.0\n",
       "  * basin    (basin) float64 1.0 2.0 3.0 4.0 5.0 6.0 ... 9.0 11.0 12.0 53.0 56.0\n",
       "Data variables:\n",
       "    sst      (basin, time) float32 0.000967 -0.2444 0.1472 ... 0.2973 1.042"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "GPbasin_mean_sst.first()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "5e537803-9ca0-4535-ade1-680c70d05490",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sst&#x27; (time: 498, basin: 13)&gt;\n",
       "array([[ 0.11207746,  0.04222956, -0.08437423, ..., -0.14544202,\n",
       "         0.79716456, -0.08803698],\n",
       "       [ 0.05704502,  0.08697981,  0.09179239, ...,  0.00701637,\n",
       "         0.65872633,  0.05165701],\n",
       "       [ 0.08125335,  0.08931918, -0.06236547, ...,  0.14052585,\n",
       "         0.6233164 , -0.13482924],\n",
       "       ...,\n",
       "       [ 1.0594108 ,  0.65803313,  0.9142534 , ...,  2.1242301 ,\n",
       "         1.9704937 ,  0.89732724],\n",
       "       [ 1.081449  ,  0.63833195,  0.7919686 , ...,  2.0824442 ,\n",
       "         0.82342565,  0.8129867 ],\n",
       "       [ 0.87216836,  0.41219014,  1.2668318 , ...,  1.5011681 ,\n",
       "         0.01684929,  0.9743553 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1982-01-31 1982-02-28 ... 2023-06-30\n",
       "    month    (time) int64 ...\n",
       "    Z        float32 0.0\n",
       "  * basin    (basin) float64 1.0 2.0 3.0 4.0 5.0 6.0 ... 9.0 11.0 12.0 53.0 56.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 498</li><li><span class='xr-has-index'>basin</span>: 13</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7e171480-7714-4564-99b0-83171988a78f' class='xr-array-in' type='checkbox' checked><label for='section-7e171480-7714-4564-99b0-83171988a78f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.1121 0.04223 -0.08437 0.1993 ... -0.3429 1.501 0.01685 0.9744</span></div><div class='xr-array-data'><pre>array([[ 0.11207746,  0.04222956, -0.08437423, ..., -0.14544202,\n",
       "         0.79716456, -0.08803698],\n",
       "       [ 0.05704502,  0.08697981,  0.09179239, ...,  0.00701637,\n",
       "         0.65872633,  0.05165701],\n",
       "       [ 0.08125335,  0.08931918, -0.06236547, ...,  0.14052585,\n",
       "         0.6233164 , -0.13482924],\n",
       "       ...,\n",
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       "         1.9704937 ,  0.89732724],\n",
       "       [ 1.081449  ,  0.63833195,  0.7919686 , ...,  2.0824442 ,\n",
       "         0.82342565,  0.8129867 ],\n",
       "       [ 0.87216836,  0.41219014,  1.2668318 , ...,  1.5011681 ,\n",
       "         0.01684929,  0.9743553 ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-9c14fa83-7cf4-4127-ad3d-0254bfd611c3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9c14fa83-7cf4-4127-ad3d-0254bfd611c3' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1982-01-31 ... 2023-06-30</div><input id='attrs-0b9f442a-756b-453a-b930-4b4d3fb8fae2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b9f442a-756b-453a-b930-4b4d3fb8fae2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-068aa124-b987-40b8-bf83-63792252be98' class='xr-var-data-in' type='checkbox'><label for='data-068aa124-b987-40b8-bf83-63792252be98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1982-01-31T00:00:00.000000000&#x27;, &#x27;1982-02-28T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-03-31T00:00:00.000000000&#x27;, ..., &#x27;2023-04-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;2023-05-31T00:00:00.000000000&#x27;, &#x27;2023-06-30T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>month</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-396f6fc4-f5da-42bd-b309-9b5a71168677' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-396f6fc4-f5da-42bd-b309-9b5a71168677' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df33e7bd-3318-453b-8112-00813f548770' class='xr-var-data-in' type='checkbox'><label for='data-df33e7bd-3318-453b-8112-00813f548770' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[498 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-c877e1dc-c620-41ae-8b9e-baa4f5e64315' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c877e1dc-c620-41ae-8b9e-baa4f5e64315' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b9563bc-09b3-431b-b018-43ad02287658' class='xr-var-data-in' type='checkbox'><label for='data-6b9563bc-09b3-431b-b018-43ad02287658' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>gridtype :</span></dt><dd>0</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array(0., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>basin</span></div><div class='xr-var-dims'>(basin)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0 3.0 4.0 ... 12.0 53.0 56.0</div><input id='attrs-ed71d69a-2ea8-404e-9c07-801753b0eef1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ed71d69a-2ea8-404e-9c07-801753b0eef1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f34d2e02-65c6-468e-8e39-e74bf8ad1325' class='xr-var-data-in' type='checkbox'><label for='data-f34d2e02-65c6-468e-8e39-e74bf8ad1325' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 11., 12., 53., 56.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-36930f30-683b-4dd5-8afe-7c79b8b96514' class='xr-section-summary-in' type='checkbox'  ><label for='section-36930f30-683b-4dd5-8afe-7c79b8b96514' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-24cbf835-5796-4bcf-bba2-da67bbc2fe8c' class='xr-index-data-in' type='checkbox'/><label for='index-24cbf835-5796-4bcf-bba2-da67bbc2fe8c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1982-01-31&#x27;, &#x27;1982-02-28&#x27;, &#x27;1982-03-31&#x27;, &#x27;1982-04-30&#x27;,\n",
       "               &#x27;1982-05-31&#x27;, &#x27;1982-06-30&#x27;, &#x27;1982-07-31&#x27;, &#x27;1982-08-31&#x27;,\n",
       "               &#x27;1982-09-30&#x27;, &#x27;1982-10-31&#x27;,\n",
       "               ...\n",
       "               &#x27;2022-09-30&#x27;, &#x27;2022-10-31&#x27;, &#x27;2022-11-30&#x27;, &#x27;2022-12-31&#x27;,\n",
       "               &#x27;2023-01-31&#x27;, &#x27;2023-02-28&#x27;, &#x27;2023-03-31&#x27;, &#x27;2023-04-30&#x27;,\n",
       "               &#x27;2023-05-31&#x27;, &#x27;2023-06-30&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=498, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>basin</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e3891ff6-e873-48c2-afc6-3af41bb9ae1e' class='xr-index-data-in' type='checkbox'/><label for='index-e3891ff6-e873-48c2-afc6-3af41bb9ae1e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 11.0, 12.0, 53.0,\n",
       "              56.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;basin&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-14b07629-8bb8-417f-b0aa-80efecb4f087' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-14b07629-8bb8-417f-b0aa-80efecb4f087' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'sst' (time: 498, basin: 13)>\n",
       "array([[ 0.11207746,  0.04222956, -0.08437423, ..., -0.14544202,\n",
       "         0.79716456, -0.08803698],\n",
       "       [ 0.05704502,  0.08697981,  0.09179239, ...,  0.00701637,\n",
       "         0.65872633,  0.05165701],\n",
       "       [ 0.08125335,  0.08931918, -0.06236547, ...,  0.14052585,\n",
       "         0.6233164 , -0.13482924],\n",
       "       ...,\n",
       "       [ 1.0594108 ,  0.65803313,  0.9142534 , ...,  2.1242301 ,\n",
       "         1.9704937 ,  0.89732724],\n",
       "       [ 1.081449  ,  0.63833195,  0.7919686 , ...,  2.0824442 ,\n",
       "         0.82342565,  0.8129867 ],\n",
       "       [ 0.87216836,  0.41219014,  1.2668318 , ...,  1.5011681 ,\n",
       "         0.01684929,  0.9743553 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1982-01-31 1982-02-28 ... 2023-06-30\n",
       "    month    (time) int64 ...\n",
       "    Z        float32 0.0\n",
       "  * basin    (basin) float64 1.0 2.0 3.0 4.0 5.0 6.0 ... 9.0 11.0 12.0 53.0 56.0"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "basin_mean_sst = sst.groupby(basin_surf_interp).mean()\n",
    "basin_mean_sst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "6d520567-dac7-4789-acdc-5b251d4655fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f597bace050>]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1 , 1 , figsize = (14,8))\n",
    "ax.plot(basin_mean_sst.time,basin_mean_sst[:,0].rolling(time = 16).mean(),linewidth=3,color='b')\n",
    "#ax.plot(basin_Wmean_sst.time,basin_Wmean_sst[:,0].rolling(time = 16).mean(),linewidth=3,color='r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "e46477bc-a589-4d45-90b6-92cfef0d9225",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f596b01b510>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#basin_mean_sst[:,0].rolling(time = 12 ).mean().plot()    \n",
    "fig, ax = plt.subplots(1 , 1 , figsize = (14,8))\n",
    "\n",
    "ax.plot(basin_mean_sst.time,basin_mean_sst[:,0].rolling(time = 16).mean(),label=basin_names[0],linewidth=3,color='b')\n",
    "ax.plot(basin_mean_sst.time,basin_mean_sst[:,0],linewidth=1,color='b',alpha=0.4)\n",
    "\n",
    "ax.plot(basin_mean_sst.time,basin_mean_sst[:,1].rolling(time = 16).mean(),label=basin_names[1],linewidth=3,color='r')\n",
    "ax.plot(basin_mean_sst.time,basin_mean_sst[:,1],linewidth=1,color='r',alpha=0.4)\n",
    "\n",
    "ax.plot(basin_mean_sst.time,basin_mean_sst[:,2].rolling(time = 16).mean(),label=basin_names[2],linewidth=3,color='g')\n",
    "ax.plot(basin_mean_sst.time,basin_mean_sst[:,2],linewidth=1,color='g',alpha=0.4)\n",
    "\n",
    "ax.plot(basin_mean_sst.time,basin_mean_sst[:,9].rolling(time = 16).mean(),label=basin_names[9],linewidth=3,color='c')\n",
    "ax.plot(basin_mean_sst.time,basin_mean_sst[:,9],linewidth=1,color='c',alpha=0.4)\n",
    "\n",
    "ax.set_ylabel(Ylabel)\n",
    "ax.set_xlabel(Xlabel)\n",
    "ax.set_frame_on(False)\n",
    "ax.grid(linestyle='-', linewidth=.9)\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "da6edc81-6fe4-41d8-aef0-e38ccabd4f92",
   "metadata": {},
   "outputs": [],
   "source": [
    "basin_mean_sst = ds.sst.groupby(basin_surf_interp).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "46cdc09e-8438-4828-9f04-784e497c70be",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = basin_mean_sst.mean('time').to_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "6fa88fc5-5c75-4908-af30-b81eca942411",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "basin_names = basin_surf.attrs['CLIST'].split('\\n')\n",
    "basin_df = pd.Series(basin_names, index=np.arange(1, len(basin_names)+1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "f7e54886-bfe6-439d-8d41-9583d9284e37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='basin_name'>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = df.join(basin_df.rename('basin_name'))\n",
    "df.plot.bar(y='sst', x='basin_name')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "844ac06a-d368-469c-8ccd-bada83d3741b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ocean",
   "language": "python",
   "name": "ocean"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}