Seasonal Bias(Mpi-trmm).ipynb

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    "#writing some conda package or module\n",
    "#!pip install netCDF4\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "from netCDF4 import Dataset\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "#!pip install cartopy\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.mpl.ticker as cticker\n",
    "from cartopy.util import add_cyclic_point"
   ]
  },
  {
   "cell_type": "code",
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       "Dimensions:  (time: 132, lat: 400, lon: 1440)\n",
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       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</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-64058a1c-4e85-47c3-afa3-f9c1ba1d4839' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-64058a1c-4e85-47c3-afa3-f9c1ba1d4839' 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'>time</span>: 132</li><li><span class='xr-has-index'>lat</span>: 400</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-97a2eca6-1295-49c7-8970-c5b80fe4572b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-97a2eca6-1295-49c7-8970-c5b80fe4572b' 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'>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'>1998-01-01 ... 2008-12-01</div><input id='attrs-4ad74e3f-acf4-4c98-9f7c-4f647c5d29f0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4ad74e3f-acf4-4c98-9f7c-4f647c5d29f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b9b6e01-5e72-4342-a92a-7286e2e2427a' class='xr-var-data-in' type='checkbox'><label for='data-6b9b6e01-5e72-4342-a92a-7286e2e2427a' 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;1998-01-01T00:00:00.000000000&#x27;, &#x27;1998-02-01T00:00:00.000000000&#x27;,\n",
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       "       &#x27;2002-05-01T00:00:00.000000000&#x27;, &#x27;2002-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-07-01T00:00:00.000000000&#x27;, &#x27;2002-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-09-01T00:00:00.000000000&#x27;, &#x27;2002-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-11-01T00:00:00.000000000&#x27;, &#x27;2002-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-01-01T00:00:00.000000000&#x27;, &#x27;2003-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-03-01T00:00:00.000000000&#x27;, &#x27;2003-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-05-01T00:00:00.000000000&#x27;, &#x27;2003-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-07-01T00:00:00.000000000&#x27;, &#x27;2003-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-09-01T00:00:00.000000000&#x27;, &#x27;2003-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-11-01T00:00:00.000000000&#x27;, &#x27;2003-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-01-01T00:00:00.000000000&#x27;, &#x27;2004-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-03-01T00:00:00.000000000&#x27;, &#x27;2004-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-05-01T00:00:00.000000000&#x27;, &#x27;2004-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-07-01T00:00:00.000000000&#x27;, &#x27;2004-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-09-01T00:00:00.000000000&#x27;, &#x27;2004-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-11-01T00:00:00.000000000&#x27;, &#x27;2004-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-01-01T00:00:00.000000000&#x27;, &#x27;2005-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-03-01T00:00:00.000000000&#x27;, &#x27;2005-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-05-01T00:00:00.000000000&#x27;, &#x27;2005-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-07-01T00:00:00.000000000&#x27;, &#x27;2005-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-09-01T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-01T00:00:00.000000000&#x27;, &#x27;2005-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-01-01T00:00:00.000000000&#x27;, &#x27;2006-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-03-01T00:00:00.000000000&#x27;, &#x27;2006-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-05-01T00:00:00.000000000&#x27;, &#x27;2006-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-07-01T00:00:00.000000000&#x27;, &#x27;2006-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-09-01T00:00:00.000000000&#x27;, &#x27;2006-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-11-01T00:00:00.000000000&#x27;, &#x27;2006-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-01-01T00:00:00.000000000&#x27;, &#x27;2007-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-03-01T00:00:00.000000000&#x27;, &#x27;2007-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-05-01T00:00:00.000000000&#x27;, &#x27;2007-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-07-01T00:00:00.000000000&#x27;, &#x27;2007-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-09-01T00:00:00.000000000&#x27;, &#x27;2007-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-11-01T00:00:00.000000000&#x27;, &#x27;2007-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-01-01T00:00:00.000000000&#x27;, &#x27;2008-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-03-01T00:00:00.000000000&#x27;, &#x27;2008-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-05-01T00:00:00.000000000&#x27;, &#x27;2008-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-07-01T00:00:00.000000000&#x27;, &#x27;2008-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-09-01T00:00:00.000000000&#x27;, &#x27;2008-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-11-01T00:00:00.000000000&#x27;, &#x27;2008-12-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><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'>-49.88 -49.62 ... 49.62 49.88</div><input id='attrs-78bf9b52-231e-4d5f-84bf-5f90e85e98e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78bf9b52-231e-4d5f-84bf-5f90e85e98e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0dfbd7c2-8489-4b4b-ad4c-38b1033ba85c' class='xr-var-data-in' type='checkbox'><label for='data-0dfbd7c2-8489-4b4b-ad4c-38b1033ba85c' 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>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-49.875, -49.625, -49.375, ...,  49.375,  49.625,  49.875],\n",
       "      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'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-4b514d55-e6dc-4dde-9e5c-e8108df7e905' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b514d55-e6dc-4dde-9e5c-e8108df7e905' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da40d3a1-2e4c-40a3-a1aa-957e235616a4' class='xr-var-data-in' type='checkbox'><label for='data-da40d3a1-2e4c-40a3-a1aa-957e235616a4' 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>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-97bbcc40-ade6-4208-9d85-b04c09b7691f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-97bbcc40-ade6-4208-9d85-b04c09b7691f' class='xr-section-summary' >Data variables: <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>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aed10b3b-449a-43b1-8526-57e0b1bb2eb5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aed10b3b-449a-43b1-8526-57e0b1bb2eb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f62d5ef7-5ea0-45da-bec6-79e86f8e2271' class='xr-var-data-in' type='checkbox'><label for='data-f62d5ef7-5ea0-45da-bec6-79e86f8e2271' 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>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980101, 19980201, 19980301, 19980401, 19980501, 19980601, 19980701,\n",
       "       19980801, 19980901, 19981001, 19981101, 19981201, 19990101, 19990201,\n",
       "       19990301, 19990401, 19990501, 19990601, 19990701, 19990801, 19990901,\n",
       "       19991001, 19991101, 19991201, 20000101, 20000201, 20000301, 20000401,\n",
       "       20000501, 20000601, 20000701, 20000801, 20000901, 20001001, 20001101,\n",
       "       20001201, 20010101, 20010201, 20010301, 20010401, 20010501, 20010601,\n",
       "       20010701, 20010801, 20010901, 20011001, 20011101, 20011201, 20020101,\n",
       "       20020201, 20020301, 20020401, 20020501, 20020601, 20020701, 20020801,\n",
       "       20020901, 20021001, 20021101, 20021201, 20030101, 20030201, 20030301,\n",
       "       20030401, 20030501, 20030601, 20030701, 20030801, 20030901, 20031001,\n",
       "       20031101, 20031201, 20040101, 20040201, 20040301, 20040401, 20040501,\n",
       "       20040601, 20040701, 20040801, 20040901, 20041001, 20041101, 20041201,\n",
       "       20050101, 20050201, 20050301, 20050401, 20050501, 20050601, 20050701,\n",
       "       20050801, 20050901, 20051001, 20051101, 20051201, 20060101, 20060201,\n",
       "       20060301, 20060401, 20060501, 20060601, 20060701, 20060801, 20060901,\n",
       "       20061001, 20061101, 20061201, 20070101, 20070201, 20070301, 20070401,\n",
       "       20070501, 20070601, 20070701, 20070801, 20070901, 20071001, 20071101,\n",
       "       20071201, 20080101, 20080201, 20080301, 20080401, 20080501, 20080601,\n",
       "       20080701, 20080801, 20080901, 20081001, 20081101, 20081201], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3e3921a3-b301-4c77-b10f-070a5daecef3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e3921a3-b301-4c77-b10f-070a5daecef3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af9d20d6-c295-477e-96ac-4be71a079ed7' class='xr-var-data-in' type='checkbox'><label for='data-af9d20d6-c295-477e-96ac-4be71a079ed7' 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>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000],\n",
       "      dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ae52dc75-ba04-4aef-991c-5e792c9d2668' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae52dc75-ba04-4aef-991c-5e792c9d2668' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b59b7d87-d80a-476b-8302-6f9c4ea22d36' class='xr-var-data-in' type='checkbox'><label for='data-b59b7d87-d80a-476b-8302-6f9c4ea22d36' 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>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>[76032000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b46c18a8-fdd9-4043-a1a6-c6c032ea0c14' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b46c18a8-fdd9-4043-a1a6-c6c032ea0c14' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 132, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-01-01 1998-02-01 ... 2008-12-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 ...\n",
       "    datesec  (time) timedelta64[ns] ...\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/observation/trm/MonthlyTRMM_3B43/3B43.1998_2008.nc')\n",
    " \n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "800e4d90",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --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.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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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:  (time: 95, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-02-01 1998-03-01 ... 2005-12-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980201 19980301 19980401 ... 20051101 20051201\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</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-cd8b9c33-932f-44c0-bfef-8b02357e71e5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cd8b9c33-932f-44c0-bfef-8b02357e71e5' 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'>time</span>: 95</li><li><span class='xr-has-index'>lat</span>: 400</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d427f871-cfc3-4c1f-8bd1-9ff7b82e4ac1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d427f871-cfc3-4c1f-8bd1-9ff7b82e4ac1' 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'>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'>1998-02-01 ... 2005-12-01</div><input id='attrs-2a9a12d9-51ff-42f4-bc88-645215fa1684' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2a9a12d9-51ff-42f4-bc88-645215fa1684' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c66f5d9d-a1d7-4b69-b5c6-1dba915ae624' class='xr-var-data-in' type='checkbox'><label for='data-c66f5d9d-a1d7-4b69-b5c6-1dba915ae624' 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;1998-02-01T00:00:00.000000000&#x27;, &#x27;1998-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-04-01T00:00:00.000000000&#x27;, &#x27;1998-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-10-01T00:00:00.000000000&#x27;, &#x27;1998-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-12-01T00:00:00.000000000&#x27;, &#x27;1999-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-02-01T00:00:00.000000000&#x27;, &#x27;1999-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-04-01T00:00:00.000000000&#x27;, &#x27;1999-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-10-01T00:00:00.000000000&#x27;, &#x27;1999-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-12-01T00:00:00.000000000&#x27;, &#x27;2000-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-02-01T00:00:00.000000000&#x27;, &#x27;2000-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-04-01T00:00:00.000000000&#x27;, &#x27;2000-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-10-01T00:00:00.000000000&#x27;, &#x27;2000-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-01T00:00:00.000000000&#x27;, &#x27;2001-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-02-01T00:00:00.000000000&#x27;, &#x27;2001-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-04-01T00:00:00.000000000&#x27;, &#x27;2001-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-10-01T00:00:00.000000000&#x27;, &#x27;2001-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-12-01T00:00:00.000000000&#x27;, &#x27;2002-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-02-01T00:00:00.000000000&#x27;, &#x27;2002-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-04-01T00:00:00.000000000&#x27;, &#x27;2002-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-10-01T00:00:00.000000000&#x27;, &#x27;2002-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-12-01T00:00:00.000000000&#x27;, &#x27;2003-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-02-01T00:00:00.000000000&#x27;, &#x27;2003-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-04-01T00:00:00.000000000&#x27;, &#x27;2003-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-10-01T00:00:00.000000000&#x27;, &#x27;2003-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-12-01T00:00:00.000000000&#x27;, &#x27;2004-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-02-01T00:00:00.000000000&#x27;, &#x27;2004-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-04-01T00:00:00.000000000&#x27;, &#x27;2004-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-10-01T00:00:00.000000000&#x27;, &#x27;2004-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-12-01T00:00:00.000000000&#x27;, &#x27;2005-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-02-01T00:00:00.000000000&#x27;, &#x27;2005-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-04-01T00:00:00.000000000&#x27;, &#x27;2005-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-10-01T00:00:00.000000000&#x27;, &#x27;2005-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-12-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><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'>-49.88 -49.62 ... 49.62 49.88</div><input id='attrs-80cfd02c-428f-4f83-b129-8fbeb6e87261' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80cfd02c-428f-4f83-b129-8fbeb6e87261' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1109c32d-2ef3-4370-ab62-c04f3ea482ae' class='xr-var-data-in' type='checkbox'><label for='data-1109c32d-2ef3-4370-ab62-c04f3ea482ae' 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>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-49.875, -49.625, -49.375, ...,  49.375,  49.625,  49.875],\n",
       "      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'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-5c2f8b53-d739-45f2-b68a-824cce9029a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c2f8b53-d739-45f2-b68a-824cce9029a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f7e6bde-11ae-49a6-aca7-c2eb140a3b26' class='xr-var-data-in' type='checkbox'><label for='data-7f7e6bde-11ae-49a6-aca7-c2eb140a3b26' 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>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-705d931c-278e-45be-a8cf-b4b06ac68a54' class='xr-section-summary-in' type='checkbox'  checked><label for='section-705d931c-278e-45be-a8cf-b4b06ac68a54' class='xr-section-summary' >Data variables: <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>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>19980201 19980301 ... 20051201</div><input id='attrs-13a2456d-ce24-41c3-abd7-1e6c47231896' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13a2456d-ce24-41c3-abd7-1e6c47231896' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d28abc1-a7a6-482f-b7f4-53c05ce2501a' class='xr-var-data-in' type='checkbox'><label for='data-2d28abc1-a7a6-482f-b7f4-53c05ce2501a' 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>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980201, 19980301, 19980401, 19980501, 19980601, 19980701, 19980801,\n",
       "       19980901, 19981001, 19981101, 19981201, 19990101, 19990201, 19990301,\n",
       "       19990401, 19990501, 19990601, 19990701, 19990801, 19990901, 19991001,\n",
       "       19991101, 19991201, 20000101, 20000201, 20000301, 20000401, 20000501,\n",
       "       20000601, 20000701, 20000801, 20000901, 20001001, 20001101, 20001201,\n",
       "       20010101, 20010201, 20010301, 20010401, 20010501, 20010601, 20010701,\n",
       "       20010801, 20010901, 20011001, 20011101, 20011201, 20020101, 20020201,\n",
       "       20020301, 20020401, 20020501, 20020601, 20020701, 20020801, 20020901,\n",
       "       20021001, 20021101, 20021201, 20030101, 20030201, 20030301, 20030401,\n",
       "       20030501, 20030601, 20030701, 20030801, 20030901, 20031001, 20031101,\n",
       "       20031201, 20040101, 20040201, 20040301, 20040401, 20040501, 20040601,\n",
       "       20040701, 20040801, 20040901, 20041001, 20041101, 20041201, 20050101,\n",
       "       20050201, 20050301, 20050401, 20050501, 20050601, 20050701, 20050801,\n",
       "       20050901, 20051001, 20051101, 20051201], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 1 days ... 1 days 1 days</div><input id='attrs-d3fcecfa-9cab-43b9-bfba-400f74314b0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3fcecfa-9cab-43b9-bfba-400f74314b0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04260178-df2f-49c9-b38c-f661cd70f12a' class='xr-var-data-in' type='checkbox'><label for='data-04260178-df2f-49c9-b38c-f661cd70f12a' 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>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-534eec21-713e-4505-9371-19281cf44d1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-534eec21-713e-4505-9371-19281cf44d1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09cae16d-f792-4645-966c-3d779bc7a6bf' class='xr-var-data-in' type='checkbox'><label for='data-09cae16d-f792-4645-966c-3d779bc7a6bf' 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>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>[54720000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-81f2560b-8f7f-4a48-b1ce-0b883aaefe4b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-81f2560b-8f7f-4a48-b1ce-0b883aaefe4b' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 95, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-02-01 1998-03-01 ... 2005-12-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980201 19980301 19980401 ... 20051101 20051201\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1998-01-16T12:00:00.000000000','2005-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "10070b93",
   "metadata": {},
   "outputs": [
    {
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       ".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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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:  (time: 32, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2005-09-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20050801 20050901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</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-da6b65e4-21a8-46aa-8c67-2e3fa9167bab' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-da6b65e4-21a8-46aa-8c67-2e3fa9167bab' 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'>time</span>: 32</li><li><span class='xr-has-index'>lat</span>: 400</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-566983e8-bb31-47ac-9be0-9ad16f27466c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-566983e8-bb31-47ac-9be0-9ad16f27466c' 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'>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'>1998-06-01 ... 2005-09-01</div><input id='attrs-a2292246-5585-408c-9000-3dc306d399de' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a2292246-5585-408c-9000-3dc306d399de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1fed4cb-841f-4002-ad40-4bfe7d91884c' class='xr-var-data-in' type='checkbox'><label for='data-f1fed4cb-841f-4002-ad40-4bfe7d91884c' 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;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><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'>-49.88 -49.62 ... 49.62 49.88</div><input id='attrs-75765f1d-a7b5-4a4e-aef9-8b44d5ef0d41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75765f1d-a7b5-4a4e-aef9-8b44d5ef0d41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87020dd6-57bc-47e5-b681-de06263a0e9e' class='xr-var-data-in' type='checkbox'><label for='data-87020dd6-57bc-47e5-b681-de06263a0e9e' 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>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-49.875, -49.625, -49.375, ...,  49.375,  49.625,  49.875],\n",
       "      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'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-fb6894ed-326d-4d2a-8785-a13e75e0539f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb6894ed-326d-4d2a-8785-a13e75e0539f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-beb389ed-d46a-4aa6-8b3b-e4f34a4e8a4f' class='xr-var-data-in' type='checkbox'><label for='data-beb389ed-d46a-4aa6-8b3b-e4f34a4e8a4f' 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>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-44b1a613-e23a-469c-82aa-88540c47ba14' class='xr-section-summary-in' type='checkbox'  checked><label for='section-44b1a613-e23a-469c-82aa-88540c47ba14' class='xr-section-summary' >Data variables: <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>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>19980601 19980701 ... 20050901</div><input id='attrs-6f874ef0-8753-4fbc-b466-d924335a5fb0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f874ef0-8753-4fbc-b466-d924335a5fb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46c3b448-a91a-4c55-9fe5-f9d1a1dd84c0' class='xr-var-data-in' type='checkbox'><label for='data-46c3b448-a91a-4c55-9fe5-f9d1a1dd84c0' 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>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980601, 19980701, 19980801, 19980901, 19990601, 19990701, 19990801,\n",
       "       19990901, 20000601, 20000701, 20000801, 20000901, 20010601, 20010701,\n",
       "       20010801, 20010901, 20020601, 20020701, 20020801, 20020901, 20030601,\n",
       "       20030701, 20030801, 20030901, 20040601, 20040701, 20040801, 20040901,\n",
       "       20050601, 20050701, 20050801, 20050901], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 1 days ... 1 days 1 days</div><input id='attrs-68ae0581-8128-44b0-b40e-6df7bd7734c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68ae0581-8128-44b0-b40e-6df7bd7734c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-528c962d-e5d6-4b5b-9bad-5b8194ed2b64' class='xr-var-data-in' type='checkbox'><label for='data-528c962d-e5d6-4b5b-9bad-5b8194ed2b64' 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>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000],\n",
       "      dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d00adcaa-d1e6-4f7b-98de-5769928891bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d00adcaa-d1e6-4f7b-98de-5769928891bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15e220c1-8758-4ee3-bbe5-b5953b339f63' class='xr-var-data-in' type='checkbox'><label for='data-15e220c1-8758-4ee3-bbe5-b5953b339f63' 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>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>[18432000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d7faaeb0-fa43-4398-bd81-186f08437e44' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d7faaeb0-fa43-4398-bd81-186f08437e44' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 32, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2005-09-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20050801 20050901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting only JJAS months\n",
    "\n",
    "def is_jjas(month):\n",
    "    return (month >= 6) & (month <= 9)\n",
    "\n",
    "jjas_data = data.sel(time=is_jjas(data['time.month']))\n",
    "\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "735515f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.latitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fd310367",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.longitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2a9644bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
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       "\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 32, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2005-09-01\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20050801 20050901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 0.4308 0.3221 0.2765 ... 0.1774 0.1441\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</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-7c873bcd-e46e-4337-ba14-617587bbc911' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7c873bcd-e46e-4337-ba14-617587bbc911' 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'>time</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4496d1d5-46f2-4ade-a31d-d9a6dcc6871a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4496d1d5-46f2-4ade-a31d-d9a6dcc6871a' 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'>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'>1998-06-01 ... 2005-09-01</div><input id='attrs-773ccd5e-b0ab-45c5-9352-9e494b56cd29' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-773ccd5e-b0ab-45c5-9352-9e494b56cd29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5d28834-6660-4ff1-bb5a-6ac907d72ea1' class='xr-var-data-in' type='checkbox'><label for='data-c5d28834-6660-4ff1-bb5a-6ac907d72ea1' 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;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><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'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-53c2e157-6b87-40e3-997b-75bdfa92f462' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53c2e157-6b87-40e3-997b-75bdfa92f462' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f95b5d1-f3d1-4848-8568-803431e49033' class='xr-var-data-in' type='checkbox'><label for='data-1f95b5d1-f3d1-4848-8568-803431e49033' 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>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], 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'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-42e31144-3634-46ee-b1fe-f2ad7853d751' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42e31144-3634-46ee-b1fe-f2ad7853d751' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d12bcb52-cbf8-4b89-9778-f81ef6fc8a02' class='xr-var-data-in' type='checkbox'><label for='data-d12bcb52-cbf8-4b89-9778-f81ef6fc8a02' 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>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a0816658-c9df-4794-87bf-bdfda8936b2c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a0816658-c9df-4794-87bf-bdfda8936b2c' class='xr-section-summary' >Data variables: <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>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>19980601 19980701 ... 20050901</div><input id='attrs-5a511330-1101-4676-ab07-092f3d65d819' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a511330-1101-4676-ab07-092f3d65d819' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-896a12d6-39a7-4850-8717-90498067a242' class='xr-var-data-in' type='checkbox'><label for='data-896a12d6-39a7-4850-8717-90498067a242' 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>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980601, 19980701, 19980801, 19980901, 19990601, 19990701, 19990801,\n",
       "       19990901, 20000601, 20000701, 20000801, 20000901, 20010601, 20010701,\n",
       "       20010801, 20010901, 20020601, 20020701, 20020801, 20020901, 20030601,\n",
       "       20030701, 20030801, 20030901, 20040601, 20040701, 20040801, 20040901,\n",
       "       20050601, 20050701, 20050801, 20050901], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 1 days ... 1 days 1 days</div><input id='attrs-60e40c2f-1e03-4ddb-8118-7f57ae55559f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60e40c2f-1e03-4ddb-8118-7f57ae55559f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-237f750d-1830-4133-b1d0-f9be21731aaa' class='xr-var-data-in' type='checkbox'><label for='data-237f750d-1830-4133-b1d0-f9be21731aaa' 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>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000],\n",
       "      dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9676f091-1dbd-4a25-8762-c09be18e9d2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9676f091-1dbd-4a25-8762-c09be18e9d2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6306464-3648-45b2-a2e4-3064e1edee21' class='xr-var-data-in' type='checkbox'><label for='data-f6306464-3648-45b2-a2e4-3064e1edee21' 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>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>array([[[0.430781, 0.322124, ..., 0.690971, 0.511044],\n",
       "        [0.346458, 0.285885, ..., 0.714057, 0.530204],\n",
       "        ...,\n",
       "        [0.210538, 0.242568, ..., 0.347411, 0.416681],\n",
       "        [0.231942, 0.248441, ..., 0.34638 , 0.382962]],\n",
       "\n",
       "       [[0.370449, 0.34102 , ..., 0.74982 , 1.003079],\n",
       "        [0.40649 , 0.328449, ..., 0.751424, 0.942093],\n",
       "        ...,\n",
       "        [0.206243, 0.196804, ..., 0.361962, 0.420819],\n",
       "        [0.202383, 0.187006, ..., 0.371911, 0.389453]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[0.248589, 0.281734, ..., 0.62056 , 0.201447],\n",
       "        [0.287298, 0.351694, ..., 0.594927, 0.229043],\n",
       "        ...,\n",
       "        [0.499972, 0.483239, ..., 0.337055, 0.352355],\n",
       "        [0.421131, 0.390675, ..., 0.31433 , 0.312789]],\n",
       "\n",
       "       [[0.905021, 0.772218, ..., 0.321426, 0.106503],\n",
       "        [0.790125, 0.811464, ..., 0.312985, 0.139072],\n",
       "        ...,\n",
       "        [0.144173, 0.128717, ..., 0.154787, 0.14331 ],\n",
       "        [0.084575, 0.081424, ..., 0.177377, 0.144111]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-11f451d3-b581-460c-9cd9-1ac58629b227' class='xr-section-summary-in' type='checkbox'  checked><label for='section-11f451d3-b581-460c-9cd9-1ac58629b227' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 32, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2005-09-01\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20050801 20050901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the x and y coordinates\n",
    "jjas_data = jjas_data.sel(lon=slice(86,94),lat=slice(18,28))\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "fc97a9d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#interpolating to new lat and lon\n",
    "\n",
    "#new_lon = np.arange(86,94,0.2007)\n",
    "#new_lat = np.arange(18,28,0.034)\n",
    "#jjas_data = jjas_data.interp(lat=new_lat,lon=new_lon)\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "82d6b5d0",
   "metadata": {},
   "outputs": [
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       "\n",
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       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[0.36424097, 0.37230343, 0.37556937, ..., 0.9275374 , 0.8777441 ,\n",
       "        0.7401172 ],\n",
       "       [0.3488904 , 0.3580809 , 0.37171277, ..., 0.8381174 , 0.8546289 ,\n",
       "        0.7661515 ],\n",
       "       [0.35725656, 0.38105756, 0.38026428, ..., 0.7783064 , 0.7250169 ,\n",
       "        0.7301341 ],\n",
       "       ...,\n",
       "       [0.30676398, 0.28645703, 0.2692595 , ..., 0.3147538 , 0.3260526 ,\n",
       "        0.37545067],\n",
       "       [0.31019294, 0.28211737, 0.25408417, ..., 0.2937004 , 0.295968  ,\n",
       "        0.31669715],\n",
       "       [0.27611408, 0.25033024, 0.2144223 , ..., 0.30539277, 0.3226247 ,\n",
       "        0.3085496 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88</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'>'precip'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d6ca7034-6e9b-4463-8049-cd5edd75ae17' class='xr-array-in' type='checkbox' checked><label for='section-d6ca7034-6e9b-4463-8049-cd5edd75ae17' 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>0.3642 0.3723 0.3756 0.392 0.4062 ... 0.2879 0.3054 0.3226 0.3085</span></div><div class='xr-array-data'><pre>array([[0.36424097, 0.37230343, 0.37556937, ..., 0.9275374 , 0.8777441 ,\n",
       "        0.7401172 ],\n",
       "       [0.3488904 , 0.3580809 , 0.37171277, ..., 0.8381174 , 0.8546289 ,\n",
       "        0.7661515 ],\n",
       "       [0.35725656, 0.38105756, 0.38026428, ..., 0.7783064 , 0.7250169 ,\n",
       "        0.7301341 ],\n",
       "       ...,\n",
       "       [0.30676398, 0.28645703, 0.2692595 , ..., 0.3147538 , 0.3260526 ,\n",
       "        0.37545067],\n",
       "       [0.31019294, 0.28211737, 0.25408417, ..., 0.2937004 , 0.295968  ,\n",
       "        0.31669715],\n",
       "       [0.27611408, 0.25033024, 0.2144223 , ..., 0.30539277, 0.3226247 ,\n",
       "        0.3085496 ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-b0250ca3-0ec6-4458-bdb4-464eb900f6c2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b0250ca3-0ec6-4458-bdb4-464eb900f6c2' class='xr-section-summary' >Coordinates: <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-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'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-09242727-4ced-48e7-a944-adbc01d11420' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09242727-4ced-48e7-a944-adbc01d11420' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14018264-0427-4cd9-b386-1cd3786798cf' class='xr-var-data-in' type='checkbox'><label for='data-14018264-0427-4cd9-b386-1cd3786798cf' 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>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], 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'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-38821a11-072a-4235-869f-d1f1ed15e910' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38821a11-072a-4235-869f-d1f1ed15e910' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-924b7f78-58ac-4bea-94d4-461932d5e0a5' class='xr-var-data-in' type='checkbox'><label for='data-924b7f78-58ac-4bea-94d4-461932d5e0a5' 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>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-78c09124-69d5-4eea-8988-8ec5bd7a2c03' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-78c09124-69d5-4eea-8988-8ec5bd7a2c03' 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 'precip' (lat: 40, lon: 32)>\n",
       "array([[0.36424097, 0.37230343, 0.37556937, ..., 0.9275374 , 0.8777441 ,\n",
       "        0.7401172 ],\n",
       "       [0.3488904 , 0.3580809 , 0.37171277, ..., 0.8381174 , 0.8546289 ,\n",
       "        0.7661515 ],\n",
       "       [0.35725656, 0.38105756, 0.38026428, ..., 0.7783064 , 0.7250169 ,\n",
       "        0.7301341 ],\n",
       "       ...,\n",
       "       [0.30676398, 0.28645703, 0.2692595 , ..., 0.3147538 , 0.3260526 ,\n",
       "        0.37545067],\n",
       "       [0.31019294, 0.28211737, 0.25408417, ..., 0.2937004 , 0.295968  ,\n",
       "        0.31669715],\n",
       "       [0.27611408, 0.25033024, 0.2144223 , ..., 0.30539277, 0.3226247 ,\n",
       "        0.3085496 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.precip.mean('time')\n",
    " \n",
    "jjas_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6d00cba7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#changing unit from mm/month to mm/day\n",
    "pr_mm = jjas_mean*24\n",
    " \n",
    "\n",
    "\n",
    "trmm = pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b6d9b2b3",
   "metadata": {},
   "outputs": [
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       ".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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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:    (time: 432, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1970-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1970-01-01 1970-02-01 ... 2006-01-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:15:56 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MPI-M-MPI-ESM-MR, histor...\n",
       "    driving_model_id:                                MPI-M-MPI-ESM-MR\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</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-d45b4e2f-dc44-47b7-8c2b-adff8df753e6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d45b4e2f-dc44-47b7-8c2b-adff8df753e6' 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'>time</span>: 432</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-66391454-f1ee-4aff-bb75-7da05e9392ed' class='xr-section-summary-in' type='checkbox'  checked><label for='section-66391454-f1ee-4aff-bb75-7da05e9392ed' 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'>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'>1970-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-66334d69-b959-442a-92ba-d0e6278a95fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66334d69-b959-442a-92ba-d0e6278a95fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f71f3036-421f-4951-a012-dc1079ef08a5' class='xr-var-data-in' type='checkbox'><label for='data-f71f3036-421f-4951-a012-dc1079ef08a5' 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>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-16T12:00:00.000000000&#x27;, &#x27;1970-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1970-03-16T12:00:00.000000000&#x27;, ..., &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-16T00:00:00.000000000&#x27;, &#x27;2005-12-16T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</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'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-76b8eba6-e48d-44d4-b5d7-fe8962b0b217' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76b8eba6-e48d-44d4-b5d7-fe8962b0b217' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8586a484-2230-4f1e-b739-052ee598e84e' class='xr-var-data-in' type='checkbox'><label for='data-8586a484-2230-4f1e-b739-052ee598e84e' 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>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><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'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-e8484fa4-556c-4674-a578-3e1e242a22f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8484fa4-556c-4674-a578-3e1e242a22f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dd2e29b-2607-46f5-bf40-26e058d306b2' class='xr-var-data-in' type='checkbox'><label for='data-4dd2e29b-2607-46f5-bf40-26e058d306b2' 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>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5bff231d-2ddf-4376-b726-ae2bc6152a95' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5bff231d-2ddf-4376-b726-ae2bc6152a95' class='xr-section-summary' >Data variables: <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-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d36ecde3-9309-4e2d-abc3-b8d267011e24' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d36ecde3-9309-4e2d-abc3-b8d267011e24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c01382c-512c-411d-9b6a-5f39e2308107' class='xr-var-data-in' type='checkbox'><label for='data-9c01382c-512c-411d-9b6a-5f39e2308107' 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;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1970-02-01T00:00:00.000000000&#x27;, &#x27;1970-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1970-03-01T00:00:00.000000000&#x27;, &#x27;1970-04-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2005-10-01T00:00:00.000000000&#x27;, &#x27;2005-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-11-01T00:00:00.000000000&#x27;, &#x27;2005-12-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-12-01T00:00:00.000000000&#x27;, &#x27;2006-01-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6ef3e42d-0e70-4ef4-8b2e-e75dc56ab233' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ef3e42d-0e70-4ef4-8b2e-e75dc56ab233' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b87c81b7-319a-4350-ac66-5ccffb457b45' class='xr-var-data-in' type='checkbox'><label for='data-b87c81b7-319a-4350-ac66-5ccffb457b45' 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>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[552960 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0f0069d6-44bd-4da1-8019-dd77b44cbf70' class='xr-section-summary-in' type='checkbox'  ><label for='section-0f0069d6-44bd-4da1-8019-dd77b44cbf70' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Thu Jul 07 17:15:56 2022: cdo remapnn,grid.des mpiesm_pr_197001-200512.nc mpi_remap.nc\n",
       "Mon Jun 27 15:35:42 2022: cdo mergetime pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc mpiesm_pr_197001-200512.nc\n",
       "2019-05-16 03:08:44 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-13T16:14:09Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>83ebbad8-8c3d-11e9-81e7-7845c4fae25e</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>MP_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MP_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2005-12-31 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>24.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>288.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment :</span></dt><dd>MPI-M-MPI-ESM-MR, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MPI-M-MPI-ESM-MR</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 432, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1970-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] ...\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:15:56 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MPI-M-MPI-ESM-MR, histor...\n",
       "    driving_model_id:                                MPI-M-MPI-ESM-MR\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#opening the mpi data\n",
    "\n",
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/regcm driven by gcm/MPI-ESM-MR/mpi_remap.nc')\n",
    " \n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "cafd5692",
   "metadata": {},
   "outputs": [
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       ".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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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:    (time: 95, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-01-16T12:00:00 ... 2005-11-16\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1998-01-01 1998-02-01 ... 2005-12-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:15:56 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MPI-M-MPI-ESM-MR, histor...\n",
       "    driving_model_id:                                MPI-M-MPI-ESM-MR\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</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-82fc1984-dd08-47ea-a708-94403628a87d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-82fc1984-dd08-47ea-a708-94403628a87d' 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'>time</span>: 95</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5f00fdaf-1adc-46f8-ba94-ed1b01fdef33' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5f00fdaf-1adc-46f8-ba94-ed1b01fdef33' 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'>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'>1998-01-16T12:00:00 ... 2005-11-16</div><input id='attrs-a78fca70-10b5-4598-8fa8-cf36adee19af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a78fca70-10b5-4598-8fa8-cf36adee19af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-763caa20-7821-4d2a-9656-183438259e92' class='xr-var-data-in' type='checkbox'><label for='data-763caa20-7821-4d2a-9656-183438259e92' 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>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-01-16T12:00:00.000000000&#x27;, &#x27;1998-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-03-16T12:00:00.000000000&#x27;, &#x27;1998-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-05-16T12:00:00.000000000&#x27;, &#x27;1998-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-07-16T12:00:00.000000000&#x27;, &#x27;1998-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-09-16T00:00:00.000000000&#x27;, &#x27;1998-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-11-16T00:00:00.000000000&#x27;, &#x27;1998-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-01-16T12:00:00.000000000&#x27;, &#x27;1999-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-03-16T12:00:00.000000000&#x27;, &#x27;1999-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-05-16T12:00:00.000000000&#x27;, &#x27;1999-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-07-16T12:00:00.000000000&#x27;, &#x27;1999-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-09-16T00:00:00.000000000&#x27;, &#x27;1999-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-11-16T00:00:00.000000000&#x27;, &#x27;1999-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-01-16T12:00:00.000000000&#x27;, &#x27;2000-02-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-03-16T12:00:00.000000000&#x27;, &#x27;2000-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-05-16T12:00:00.000000000&#x27;, &#x27;2000-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-07-16T12:00:00.000000000&#x27;, &#x27;2000-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-09-16T00:00:00.000000000&#x27;, &#x27;2000-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-11-16T00:00:00.000000000&#x27;, &#x27;2000-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-01-16T12:00:00.000000000&#x27;, &#x27;2001-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-03-16T12:00:00.000000000&#x27;, &#x27;2001-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-05-16T12:00:00.000000000&#x27;, &#x27;2001-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-07-16T12:00:00.000000000&#x27;, &#x27;2001-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-09-16T00:00:00.000000000&#x27;, &#x27;2001-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-11-16T00:00:00.000000000&#x27;, &#x27;2001-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-01-16T12:00:00.000000000&#x27;, &#x27;2002-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-03-16T12:00:00.000000000&#x27;, &#x27;2002-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-05-16T12:00:00.000000000&#x27;, &#x27;2002-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-07-16T12:00:00.000000000&#x27;, &#x27;2002-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-09-16T00:00:00.000000000&#x27;, &#x27;2002-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-11-16T00:00:00.000000000&#x27;, &#x27;2002-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-01-16T12:00:00.000000000&#x27;, &#x27;2003-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-03-16T12:00:00.000000000&#x27;, &#x27;2003-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-05-16T12:00:00.000000000&#x27;, &#x27;2003-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-07-16T12:00:00.000000000&#x27;, &#x27;2003-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-09-16T00:00:00.000000000&#x27;, &#x27;2003-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-11-16T00:00:00.000000000&#x27;, &#x27;2003-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-01-16T12:00:00.000000000&#x27;, &#x27;2004-02-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-03-16T12:00:00.000000000&#x27;, &#x27;2004-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-05-16T12:00:00.000000000&#x27;, &#x27;2004-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-07-16T12:00:00.000000000&#x27;, &#x27;2004-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-09-16T00:00:00.000000000&#x27;, &#x27;2004-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-11-16T00:00:00.000000000&#x27;, &#x27;2004-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-01-16T12:00:00.000000000&#x27;, &#x27;2005-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-03-16T12:00:00.000000000&#x27;, &#x27;2005-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-05-16T12:00:00.000000000&#x27;, &#x27;2005-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-07-16T12:00:00.000000000&#x27;, &#x27;2005-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-09-16T00:00:00.000000000&#x27;, &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-16T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</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'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-2afb6b50-68b0-4820-bb44-f8245f442bb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2afb6b50-68b0-4820-bb44-f8245f442bb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a921b066-c431-4923-a3ed-4b328b234116' class='xr-var-data-in' type='checkbox'><label for='data-a921b066-c431-4923-a3ed-4b328b234116' 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>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><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'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-06cc3229-0027-4e65-b8f4-7cb03e6d9d0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06cc3229-0027-4e65-b8f4-7cb03e6d9d0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a37a8b26-3057-4d5a-aa48-9467367ce901' class='xr-var-data-in' type='checkbox'><label for='data-a37a8b26-3057-4d5a-aa48-9467367ce901' 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>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7b40e711-62df-4520-9220-53e97c550b8b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7b40e711-62df-4520-9220-53e97c550b8b' class='xr-section-summary' >Data variables: <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-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-01-01 ... 2005-12-01</div><input id='attrs-f422baee-6443-45e1-8287-76a863154502' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f422baee-6443-45e1-8287-76a863154502' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9429def4-2c56-4591-b948-e33bc13d236a' class='xr-var-data-in' type='checkbox'><label for='data-9429def4-2c56-4591-b948-e33bc13d236a' 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;1998-01-01T00:00:00.000000000&#x27;, &#x27;1998-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-02-01T00:00:00.000000000&#x27;, &#x27;1998-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-03-01T00:00:00.000000000&#x27;, &#x27;1998-04-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-04-01T00:00:00.000000000&#x27;, &#x27;1998-05-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-05-01T00:00:00.000000000&#x27;, &#x27;1998-06-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-07-01T00:00:00.000000000&#x27;, &#x27;1998-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-09-01T00:00:00.000000000&#x27;, &#x27;1998-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-10-01T00:00:00.000000000&#x27;, &#x27;1998-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-11-01T00:00:00.000000000&#x27;, &#x27;1998-12-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-12-01T00:00:00.000000000&#x27;, &#x27;1999-01-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-01-01T00:00:00.000000000&#x27;, &#x27;1999-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-02-01T00:00:00.000000000&#x27;, &#x27;1999-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-03-01T00:00:00.000000000&#x27;, &#x27;1999-04-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-04-01T00:00:00.000000000&#x27;, &#x27;1999-05-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-05-01T00:00:00.000000000&#x27;, &#x27;1999-06-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-07-01T00:00:00.000000000&#x27;, &#x27;1999-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-09-01T00:00:00.000000000&#x27;, &#x27;1999-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-10-01T00:00:00.000000000&#x27;, &#x27;1999-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-11-01T00:00:00.000000000&#x27;, &#x27;1999-12-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-12-01T00:00:00.000000000&#x27;, &#x27;2000-01-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-02-01T00:00:00.000000000&#x27;, &#x27;2000-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-03-01T00:00:00.000000000&#x27;, &#x27;2000-04-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-04-01T00:00:00.000000000&#x27;, &#x27;2000-05-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-05-01T00:00:00.000000000&#x27;, &#x27;2000-06-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-07-01T00:00:00.000000000&#x27;, &#x27;2000-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-09-01T00:00:00.000000000&#x27;, &#x27;2000-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-10-01T00:00:00.000000000&#x27;, &#x27;2000-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-11-01T00:00:00.000000000&#x27;, &#x27;2000-12-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-12-01T00:00:00.000000000&#x27;, &#x27;2001-01-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-01-01T00:00:00.000000000&#x27;, &#x27;2001-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-02-01T00:00:00.000000000&#x27;, &#x27;2001-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-03-01T00:00:00.000000000&#x27;, &#x27;2001-04-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-04-01T00:00:00.000000000&#x27;, &#x27;2001-05-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-05-01T00:00:00.000000000&#x27;, &#x27;2001-06-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-07-01T00:00:00.000000000&#x27;, &#x27;2001-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-09-01T00:00:00.000000000&#x27;, &#x27;2001-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-10-01T00:00:00.000000000&#x27;, &#x27;2001-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-11-01T00:00:00.000000000&#x27;, &#x27;2001-12-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-12-01T00:00:00.000000000&#x27;, &#x27;2002-01-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-01-01T00:00:00.000000000&#x27;, &#x27;2002-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-02-01T00:00:00.000000000&#x27;, &#x27;2002-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-03-01T00:00:00.000000000&#x27;, &#x27;2002-04-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-04-01T00:00:00.000000000&#x27;, &#x27;2002-05-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-05-01T00:00:00.000000000&#x27;, &#x27;2002-06-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-07-01T00:00:00.000000000&#x27;, &#x27;2002-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-09-01T00:00:00.000000000&#x27;, &#x27;2002-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-10-01T00:00:00.000000000&#x27;, &#x27;2002-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-11-01T00:00:00.000000000&#x27;, &#x27;2002-12-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-12-01T00:00:00.000000000&#x27;, &#x27;2003-01-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-01-01T00:00:00.000000000&#x27;, &#x27;2003-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-02-01T00:00:00.000000000&#x27;, &#x27;2003-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-03-01T00:00:00.000000000&#x27;, &#x27;2003-04-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-04-01T00:00:00.000000000&#x27;, &#x27;2003-05-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-05-01T00:00:00.000000000&#x27;, &#x27;2003-06-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-07-01T00:00:00.000000000&#x27;, &#x27;2003-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-09-01T00:00:00.000000000&#x27;, &#x27;2003-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-10-01T00:00:00.000000000&#x27;, &#x27;2003-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-11-01T00:00:00.000000000&#x27;, &#x27;2003-12-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-12-01T00:00:00.000000000&#x27;, &#x27;2004-01-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-01-01T00:00:00.000000000&#x27;, &#x27;2004-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-02-01T00:00:00.000000000&#x27;, &#x27;2004-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-03-01T00:00:00.000000000&#x27;, &#x27;2004-04-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-04-01T00:00:00.000000000&#x27;, &#x27;2004-05-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-05-01T00:00:00.000000000&#x27;, &#x27;2004-06-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-07-01T00:00:00.000000000&#x27;, &#x27;2004-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-09-01T00:00:00.000000000&#x27;, &#x27;2004-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-10-01T00:00:00.000000000&#x27;, &#x27;2004-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-11-01T00:00:00.000000000&#x27;, &#x27;2004-12-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-12-01T00:00:00.000000000&#x27;, &#x27;2005-01-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-01-01T00:00:00.000000000&#x27;, &#x27;2005-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-02-01T00:00:00.000000000&#x27;, &#x27;2005-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-03-01T00:00:00.000000000&#x27;, &#x27;2005-04-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-04-01T00:00:00.000000000&#x27;, &#x27;2005-05-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-05-01T00:00:00.000000000&#x27;, &#x27;2005-06-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-07-01T00:00:00.000000000&#x27;, &#x27;2005-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-09-01T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-10-01T00:00:00.000000000&#x27;, &#x27;2005-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-11-01T00:00:00.000000000&#x27;, &#x27;2005-12-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b9aa120a-7b4a-4aaa-9a1d-d0dd1199a2f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9aa120a-7b4a-4aaa-9a1d-d0dd1199a2f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0825e076-d46e-4040-be4a-0fa6dd143f3e' class='xr-var-data-in' type='checkbox'><label for='data-0825e076-d46e-4040-be4a-0fa6dd143f3e' 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>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[121600 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-11425d25-6cec-422a-832c-45db83a180f6' class='xr-section-summary-in' type='checkbox'  ><label for='section-11425d25-6cec-422a-832c-45db83a180f6' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Thu Jul 07 17:15:56 2022: cdo remapnn,grid.des mpiesm_pr_197001-200512.nc mpi_remap.nc\n",
       "Mon Jun 27 15:35:42 2022: cdo mergetime pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc mpiesm_pr_197001-200512.nc\n",
       "2019-05-16 03:08:44 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-13T16:14:09Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>83ebbad8-8c3d-11e9-81e7-7845c4fae25e</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>MP_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MP_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2005-12-31 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>24.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>288.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment :</span></dt><dd>MPI-M-MPI-ESM-MR, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MPI-M-MPI-ESM-MR</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 95, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-01-16T12:00:00 ... 2005-11-16\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1998-01-01 1998-02-01 ... 2005-12-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:15:56 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MPI-M-MPI-ESM-MR, histor...\n",
       "    driving_model_id:                                MPI-M-MPI-ESM-MR\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1998-01-16T12:00:00.000000000','2005-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c811b0f2",
   "metadata": {},
   "outputs": [
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       "  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:    (time: 32, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-06-16 ... 2005-09-16\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1998-06-01 1998-07-01 ... 2005-10-01\n",
       "    pr         (time, lat, lon) float32 1.059e-05 1.294e-05 ... 0.0002569\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:15:56 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MPI-M-MPI-ESM-MR, histor...\n",
       "    driving_model_id:                                MPI-M-MPI-ESM-MR\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</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-92f7e3a3-5d14-4d9e-af79-c59fd8121cb7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-92f7e3a3-5d14-4d9e-af79-c59fd8121cb7' 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'>time</span>: 32</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-44c0d17c-f59d-475e-b115-99e5e8721675' class='xr-section-summary-in' type='checkbox'  checked><label for='section-44c0d17c-f59d-475e-b115-99e5e8721675' 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'>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'>1998-06-16 ... 2005-09-16</div><input id='attrs-4e8be1d8-97b6-4234-b790-d99be3fa9daa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e8be1d8-97b6-4234-b790-d99be3fa9daa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0c9379a-d420-4aa1-a792-ff7c571d27aa' class='xr-var-data-in' type='checkbox'><label for='data-d0c9379a-d420-4aa1-a792-ff7c571d27aa' 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>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T12:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T12:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T12:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T12:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T12:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T12:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T12:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T12:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</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'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-86e781e7-d447-40a5-8db4-77b59879f6e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86e781e7-d447-40a5-8db4-77b59879f6e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90e459ca-b01b-4725-95b1-43a26d8be427' class='xr-var-data-in' type='checkbox'><label for='data-90e459ca-b01b-4725-95b1-43a26d8be427' 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>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><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'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-4fcee444-9dda-4e04-96d8-ecc234e3df4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fcee444-9dda-4e04-96d8-ecc234e3df4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9be035f8-83b0-4774-8d05-c3247a7749d5' class='xr-var-data-in' type='checkbox'><label for='data-9be035f8-83b0-4774-8d05-c3247a7749d5' 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>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-77e533b0-c520-42cf-ab28-e7145047c669' class='xr-section-summary-in' type='checkbox'  checked><label for='section-77e533b0-c520-42cf-ab28-e7145047c669' class='xr-section-summary' >Data variables: <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-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-06-01 ... 2005-10-01</div><input id='attrs-3b73a572-83f9-4a9a-8260-25c72c510103' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3b73a572-83f9-4a9a-8260-25c72c510103' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f759475-8aef-40bc-b32c-2372fecd50c5' class='xr-var-data-in' type='checkbox'><label for='data-5f759475-8aef-40bc-b32c-2372fecd50c5' 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;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-07-01T00:00:00.000000000&#x27;, &#x27;1998-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-09-01T00:00:00.000000000&#x27;, &#x27;1998-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-07-01T00:00:00.000000000&#x27;, &#x27;1999-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1999-09-01T00:00:00.000000000&#x27;, &#x27;1999-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-07-01T00:00:00.000000000&#x27;, &#x27;2000-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2000-09-01T00:00:00.000000000&#x27;, &#x27;2000-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-07-01T00:00:00.000000000&#x27;, &#x27;2001-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2001-09-01T00:00:00.000000000&#x27;, &#x27;2001-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-07-01T00:00:00.000000000&#x27;, &#x27;2002-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2002-09-01T00:00:00.000000000&#x27;, &#x27;2002-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-07-01T00:00:00.000000000&#x27;, &#x27;2003-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2003-09-01T00:00:00.000000000&#x27;, &#x27;2003-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-07-01T00:00:00.000000000&#x27;, &#x27;2004-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2004-09-01T00:00:00.000000000&#x27;, &#x27;2004-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-07-01T00:00:00.000000000&#x27;, &#x27;2005-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-09-01T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9d81d641-442a-455d-a9d6-0665b6d64253' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d81d641-442a-455d-a9d6-0665b6d64253' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec27c672-e2be-4f13-a9e2-e65c8dadb0e6' class='xr-var-data-in' type='checkbox'><label for='data-ec27c672-e2be-4f13-a9e2-e65c8dadb0e6' 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>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>array([[[1.059056e-05, 1.294165e-05, ..., 1.415897e-04, 1.407212e-04],\n",
       "        [1.143901e-05, 9.529569e-06, ..., 1.774776e-04, 1.720693e-04],\n",
       "        ...,\n",
       "        [1.120181e-04, 9.697624e-05, ..., 4.226917e-04, 5.122677e-04],\n",
       "        [1.350889e-04, 1.727321e-04, ..., 3.048838e-04, 3.061247e-04]],\n",
       "\n",
       "       [[1.206707e-04, 1.241799e-04, ..., 9.626032e-05, 7.747622e-05],\n",
       "        [1.186129e-04, 1.239241e-04, ..., 1.117930e-04, 8.244126e-05],\n",
       "        ...,\n",
       "        [1.877902e-04, 1.869170e-04, ..., 2.501787e-04, 3.870417e-04],\n",
       "        [2.200280e-04, 3.797189e-04, ..., 2.595771e-04, 3.590444e-04]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[3.465374e-05, 3.661286e-05, ..., 2.078011e-05, 2.284917e-05],\n",
       "        [3.685138e-05, 3.426573e-05, ..., 3.696003e-05, 3.623408e-05],\n",
       "        ...,\n",
       "        [9.033477e-05, 7.622821e-05, ..., 2.330691e-04, 2.248628e-04],\n",
       "        [1.340886e-04, 2.227426e-04, ..., 2.447352e-04, 2.710046e-04]],\n",
       "\n",
       "       [[4.711048e-05, 4.305907e-05, ..., 1.578348e-06, 1.199593e-06],\n",
       "        [4.862831e-05, 4.519294e-05, ..., 5.689883e-07, 2.293388e-06],\n",
       "        ...,\n",
       "        [8.089699e-05, 7.993151e-05, ..., 2.046378e-04, 2.200047e-04],\n",
       "        [1.097077e-04, 1.839225e-04, ..., 2.193843e-04, 2.568834e-04]]],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d4976711-bb7d-46d4-975d-1c078e199a12' class='xr-section-summary-in' type='checkbox'  ><label for='section-d4976711-bb7d-46d4-975d-1c078e199a12' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Thu Jul 07 17:15:56 2022: cdo remapnn,grid.des mpiesm_pr_197001-200512.nc mpi_remap.nc\n",
       "Mon Jun 27 15:35:42 2022: cdo mergetime pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MPI-M-MPI-ESM-MR_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc mpiesm_pr_197001-200512.nc\n",
       "2019-05-16 03:08:44 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-13T16:14:09Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>83ebbad8-8c3d-11e9-81e7-7845c4fae25e</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>MP_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MP_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2005-12-31 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>24.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>288.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment :</span></dt><dd>MPI-M-MPI-ESM-MR, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MPI-M-MPI-ESM-MR</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 32, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-06-16 ... 2005-09-16\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1998-06-01 1998-07-01 ... 2005-10-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:15:56 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MPI-M-MPI-ESM-MR, histor...\n",
       "    driving_model_id:                                MPI-M-MPI-ESM-MR\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting only JJAS months\n",
    "\n",
    "def is_jjas(month):\n",
    "    return (month >= 6) & (month <= 9)\n",
    "\n",
    "jjas_data = data.sel(time=is_jjas(data['time.month']))\n",
    "\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "be94f5d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#jjas_data.x.values\n",
    "#jjas_data.y.values\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a41e4a60",
   "metadata": {},
   "outputs": [],
   "source": [
    "#to select the x and y coordinates\n",
    "#jjas_data = jjas_data.sel(x=slice(1000000.,5275000.),y=slice(2000000.,4175000.))\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "18269e45",
   "metadata": {},
   "outputs": [
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       "  color: var(--xr-disabled-color);\n",
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       "  color: var(--xr-font-color3);\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[6.1864383e-05, 6.0977629e-05, 6.1668361e-05, ..., 7.1877141e-05,\n",
       "        4.8116359e-05, 3.9137274e-05],\n",
       "       [6.0200608e-05, 5.9324833e-05, 6.0061917e-05, ..., 7.8621895e-05,\n",
       "        5.3723310e-05, 4.6506015e-05],\n",
       "       [5.5235159e-05, 5.6216031e-05, 5.6117926e-05, ..., 9.4415154e-05,\n",
       "        6.0927956e-05, 5.7215570e-05],\n",
       "       ...,\n",
       "       [1.6133061e-04, 1.8302686e-04, 2.0125108e-04, ..., 1.7975103e-04,\n",
       "        1.8945294e-04, 1.6656371e-04],\n",
       "       [1.5975394e-04, 1.7464062e-04, 1.9617532e-04, ..., 1.7315170e-04,\n",
       "        2.2133742e-04, 2.2828119e-04],\n",
       "       [1.8367330e-04, 3.0794190e-04, 4.6059032e-04, ..., 1.6944768e-04,\n",
       "        2.3262140e-04, 2.6018670e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</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'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c330d87f-e4be-4e76-9de4-cf060cd00845' class='xr-array-in' type='checkbox' checked><label for='section-c330d87f-e4be-4e76-9de4-cf060cd00845' 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>6.186e-05 6.098e-05 6.167e-05 ... 0.0001694 0.0002326 0.0002602</span></div><div class='xr-array-data'><pre>array([[6.1864383e-05, 6.0977629e-05, 6.1668361e-05, ..., 7.1877141e-05,\n",
       "        4.8116359e-05, 3.9137274e-05],\n",
       "       [6.0200608e-05, 5.9324833e-05, 6.0061917e-05, ..., 7.8621895e-05,\n",
       "        5.3723310e-05, 4.6506015e-05],\n",
       "       [5.5235159e-05, 5.6216031e-05, 5.6117926e-05, ..., 9.4415154e-05,\n",
       "        6.0927956e-05, 5.7215570e-05],\n",
       "       ...,\n",
       "       [1.6133061e-04, 1.8302686e-04, 2.0125108e-04, ..., 1.7975103e-04,\n",
       "        1.8945294e-04, 1.6656371e-04],\n",
       "       [1.5975394e-04, 1.7464062e-04, 1.9617532e-04, ..., 1.7315170e-04,\n",
       "        2.2133742e-04, 2.2828119e-04],\n",
       "       [1.8367330e-04, 3.0794190e-04, 4.6059032e-04, ..., 1.6944768e-04,\n",
       "        2.3262140e-04, 2.6018670e-04]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-98370204-00d1-464f-bdb6-fcefff35b297' class='xr-section-summary-in' type='checkbox'  checked><label for='section-98370204-00d1-464f-bdb6-fcefff35b297' class='xr-section-summary' >Coordinates: <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-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'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-1b3e338c-64a7-4794-be42-304ee620adae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b3e338c-64a7-4794-be42-304ee620adae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5106c9ed-34fd-4236-a14d-cd2dee77922e' class='xr-var-data-in' type='checkbox'><label for='data-5106c9ed-34fd-4236-a14d-cd2dee77922e' 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>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><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'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-04b102e8-cb82-416a-9e2d-0ff9e5e9ca01' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04b102e8-cb82-416a-9e2d-0ff9e5e9ca01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fe65268-4c5c-4f8c-8496-c7a6781f3ca7' class='xr-var-data-in' type='checkbox'><label for='data-9fe65268-4c5c-4f8c-8496-c7a6781f3ca7' 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>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ee443cbf-3321-4395-a6f8-cadf0a7eec09' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ee443cbf-3321-4395-a6f8-cadf0a7eec09' 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 'pr' (lat: 40, lon: 32)>\n",
       "array([[6.1864383e-05, 6.0977629e-05, 6.1668361e-05, ..., 7.1877141e-05,\n",
       "        4.8116359e-05, 3.9137274e-05],\n",
       "       [6.0200608e-05, 5.9324833e-05, 6.0061917e-05, ..., 7.8621895e-05,\n",
       "        5.3723310e-05, 4.6506015e-05],\n",
       "       [5.5235159e-05, 5.6216031e-05, 5.6117926e-05, ..., 9.4415154e-05,\n",
       "        6.0927956e-05, 5.7215570e-05],\n",
       "       ...,\n",
       "       [1.6133061e-04, 1.8302686e-04, 2.0125108e-04, ..., 1.7975103e-04,\n",
       "        1.8945294e-04, 1.6656371e-04],\n",
       "       [1.5975394e-04, 1.7464062e-04, 1.9617532e-04, ..., 1.7315170e-04,\n",
       "        2.2133742e-04, 2.2828119e-04],\n",
       "       [1.8367330e-04, 3.0794190e-04, 4.6059032e-04, ..., 1.6944768e-04,\n",
       "        2.3262140e-04, 2.6018670e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.pr.mean('time')\n",
    " \n",
    "jjas_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "6f88bd72",
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "  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",
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       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[ 5.34508266,  5.26846714,  5.32814639, ...,  6.21018496,\n",
       "         4.1572534 ,  3.38146049],\n",
       "       [ 5.20133249,  5.12566559,  5.18934962, ...,  6.79293175,\n",
       "         4.64169398,  4.01811968],\n",
       "       [ 4.77231777,  4.8570651 ,  4.84858879, ...,  8.15746933,\n",
       "         5.26417539,  4.94342521],\n",
       "       ...,\n",
       "       [13.93896458, 15.81352064, 17.38809342, ..., 15.53048934,\n",
       "        16.36873414, 14.39110455],\n",
       "       [13.80274021, 15.08894954, 16.94954722, ..., 14.9603066 ,\n",
       "        19.12355348, 19.72349491],\n",
       "       [15.86937304, 26.60617987, 39.79500392, ..., 14.64027967,\n",
       "        20.0984891 , 22.48013103]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</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'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-540aedbc-df87-415e-9d6e-20bea469d242' class='xr-array-in' type='checkbox' checked><label for='section-540aedbc-df87-415e-9d6e-20bea469d242' 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>5.345 5.268 5.328 5.308 5.513 5.61 ... 21.58 16.56 14.64 20.1 22.48</span></div><div class='xr-array-data'><pre>array([[ 5.34508266,  5.26846714,  5.32814639, ...,  6.21018496,\n",
       "         4.1572534 ,  3.38146049],\n",
       "       [ 5.20133249,  5.12566559,  5.18934962, ...,  6.79293175,\n",
       "         4.64169398,  4.01811968],\n",
       "       [ 4.77231777,  4.8570651 ,  4.84858879, ...,  8.15746933,\n",
       "         5.26417539,  4.94342521],\n",
       "       ...,\n",
       "       [13.93896458, 15.81352064, 17.38809342, ..., 15.53048934,\n",
       "        16.36873414, 14.39110455],\n",
       "       [13.80274021, 15.08894954, 16.94954722, ..., 14.9603066 ,\n",
       "        19.12355348, 19.72349491],\n",
       "       [15.86937304, 26.60617987, 39.79500392, ..., 14.64027967,\n",
       "        20.0984891 , 22.48013103]])</pre></div></div></li><li class='xr-section-item'><input id='section-7e27f19b-c4fa-434a-aa1d-3d3bad3c825f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7e27f19b-c4fa-434a-aa1d-3d3bad3c825f' class='xr-section-summary' >Coordinates: <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-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'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-fa685bd3-44b2-4dc7-aba2-ccbeb8c223a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa685bd3-44b2-4dc7-aba2-ccbeb8c223a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bc257c8-f6e1-4d47-aeba-bff3476857cd' class='xr-var-data-in' type='checkbox'><label for='data-8bc257c8-f6e1-4d47-aeba-bff3476857cd' 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>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><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'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-f7ae1e81-4425-420d-9d00-2c61aeb8c0f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7ae1e81-4425-420d-9d00-2c61aeb8c0f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec96c1c7-2bd3-40c1-8d43-3eb47244d486' class='xr-var-data-in' type='checkbox'><label for='data-ec96c1c7-2bd3-40c1-8d43-3eb47244d486' 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>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-52f00f71-4dc8-481e-b6e5-4feb8ee9f288' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-52f00f71-4dc8-481e-b6e5-4feb8ee9f288' 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 'pr' (lat: 40, lon: 32)>\n",
       "array([[ 5.34508266,  5.26846714,  5.32814639, ...,  6.21018496,\n",
       "         4.1572534 ,  3.38146049],\n",
       "       [ 5.20133249,  5.12566559,  5.18934962, ...,  6.79293175,\n",
       "         4.64169398,  4.01811968],\n",
       "       [ 4.77231777,  4.8570651 ,  4.84858879, ...,  8.15746933,\n",
       "         5.26417539,  4.94342521],\n",
       "       ...,\n",
       "       [13.93896458, 15.81352064, 17.38809342, ..., 15.53048934,\n",
       "        16.36873414, 14.39110455],\n",
       "       [13.80274021, 15.08894954, 16.94954722, ..., 14.9603066 ,\n",
       "        19.12355348, 19.72349491],\n",
       "       [15.86937304, 26.60617987, 39.79500392, ..., 14.64027967,\n",
       "        20.0984891 , 22.48013103]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mpi = jjas_mean*86400\n",
    "mpi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6c5c5811",
   "metadata": {},
   "outputs": [
    {
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       "  padding-bottom: 6px;\n",
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       "  border-bottom: solid 1px var(--xr-border-color);\n",
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       "\n",
       ".xr-header > div,\n",
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       "\n",
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       "  margin-bottom: 5px;\n",
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       "\n",
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       "  grid-template-columns: 20px auto;\n",
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       "\n",
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       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
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       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
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       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
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       "\n",
       ".xr-array-data,\n",
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       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
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       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
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       "  list-style: none;\n",
       "  padding: 0 !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",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
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       "  padding-right: 5px;\n",
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       "\n",
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       "\n",
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       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
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       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
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       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
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       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
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       "\n",
       "dl.xr-attrs {\n",
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       "  margin: 0;\n",
       "  display: grid;\n",
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       "}\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",
       "  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 (lat: 40, lon: 32)&gt;\n",
       "array([[ -3.39670049,  -3.66681462,  -3.68551881, ..., -16.05071172,\n",
       "        -16.90860353, -14.38135308],\n",
       "       [ -3.17203672,  -3.46827609,  -3.73175672, ..., -13.32188683,\n",
       "        -15.86939916, -14.36951651],\n",
       "       [ -3.80183994,  -4.28831683,  -4.27775398, ..., -10.52188438,\n",
       "        -12.13623049, -12.57979485],\n",
       "       ...,\n",
       "       [  6.57662937,   8.93855212,  10.92586513, ...,   7.97639789,\n",
       "          8.54347159,   5.38028798],\n",
       "       [  6.35810959,   8.31813274,  10.85152715, ...,   7.91149708,\n",
       "         12.02032158,  12.12276306],\n",
       "       [  9.24263544,  20.59825388,  34.64886859, ...,   7.31085291,\n",
       "         12.35549575,  15.07494057]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</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'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-aa36b705-8614-4db0-aedf-c8181d03c42c' class='xr-array-in' type='checkbox' checked><label for='section-aa36b705-8614-4db0-aedf-c8181d03c42c' 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>-3.397 -3.667 -3.686 -4.099 -4.236 ... 15.52 9.649 7.311 12.36 15.07</span></div><div class='xr-array-data'><pre>array([[ -3.39670049,  -3.66681462,  -3.68551881, ..., -16.05071172,\n",
       "        -16.90860353, -14.38135308],\n",
       "       [ -3.17203672,  -3.46827609,  -3.73175672, ..., -13.32188683,\n",
       "        -15.86939916, -14.36951651],\n",
       "       [ -3.80183994,  -4.28831683,  -4.27775398, ..., -10.52188438,\n",
       "        -12.13623049, -12.57979485],\n",
       "       ...,\n",
       "       [  6.57662937,   8.93855212,  10.92586513, ...,   7.97639789,\n",
       "          8.54347159,   5.38028798],\n",
       "       [  6.35810959,   8.31813274,  10.85152715, ...,   7.91149708,\n",
       "         12.02032158,  12.12276306],\n",
       "       [  9.24263544,  20.59825388,  34.64886859, ...,   7.31085291,\n",
       "         12.35549575,  15.07494057]])</pre></div></div></li><li class='xr-section-item'><input id='section-9ee26834-61a9-4de3-9e4a-287b37c97016' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9ee26834-61a9-4de3-9e4a-287b37c97016' class='xr-section-summary' >Coordinates: <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-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'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-14a83a7e-e620-4fbc-8d88-19b31914ab25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14a83a7e-e620-4fbc-8d88-19b31914ab25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c4c3f56-ec66-4ab4-a9f4-4fc4a874aa54' class='xr-var-data-in' type='checkbox'><label for='data-3c4c3f56-ec66-4ab4-a9f4-4fc4a874aa54' 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>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><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'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-30fd5587-3345-4b0e-94f1-bb04f67ecb5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30fd5587-3345-4b0e-94f1-bb04f67ecb5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07a980f7-d29e-49c2-a9ca-164c269d2f1f' class='xr-var-data-in' type='checkbox'><label for='data-07a980f7-d29e-49c2-a9ca-164c269d2f1f' 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>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0f5ec16e-2d2b-4c86-9e71-b543709b9bca' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0f5ec16e-2d2b-4c86-9e71-b543709b9bca' 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 (lat: 40, lon: 32)>\n",
       "array([[ -3.39670049,  -3.66681462,  -3.68551881, ..., -16.05071172,\n",
       "        -16.90860353, -14.38135308],\n",
       "       [ -3.17203672,  -3.46827609,  -3.73175672, ..., -13.32188683,\n",
       "        -15.86939916, -14.36951651],\n",
       "       [ -3.80183994,  -4.28831683,  -4.27775398, ..., -10.52188438,\n",
       "        -12.13623049, -12.57979485],\n",
       "       ...,\n",
       "       [  6.57662937,   8.93855212,  10.92586513, ...,   7.97639789,\n",
       "          8.54347159,   5.38028798],\n",
       "       [  6.35810959,   8.31813274,  10.85152715, ...,   7.91149708,\n",
       "         12.02032158,  12.12276306],\n",
       "       [  9.24263544,  20.59825388,  34.64886859, ...,   7.31085291,\n",
       "         12.35549575,  15.07494057]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias = mpi - trmm\n",
    "bias"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "445388ed",
   "metadata": {},
   "outputs": [
    {
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       "  --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.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-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",
       "  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",
       "  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-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-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",
       "  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 (lat: 40, lon: 32)&gt;\n",
       "array([[-38.85592254, -41.03748173, -40.88812626, ..., -72.10271874,\n",
       "        -80.26544368, -80.96326084],\n",
       "       [-37.88244185, -40.35722163, -41.83064945, ..., -66.22921692,\n",
       "        -77.36983617, -78.1477095 ],\n",
       "       [-44.34068128, -46.89051659, -46.87259821, ..., -56.32895304,\n",
       "        -69.74682414, -71.78928764],\n",
       "       ...,\n",
       "       [ 89.32803505, 130.01589866, 169.07271954, ..., 105.59043313,\n",
       "        109.17808241,  59.7092165 ],\n",
       "       [ 85.40530632, 122.85272188, 177.95164674, ..., 112.23876944,\n",
       "        169.22327379, 159.49468156],\n",
       "       [139.47489711, 342.85132546, 673.29882273, ...,  99.74658512,\n",
       "        159.57001618, 203.57262425]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</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'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-baf4d061-9680-40b6-a137-63fd3b278d29' class='xr-array-in' type='checkbox' checked><label for='section-baf4d061-9680-40b6-a137-63fd3b278d29' 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>-38.86 -41.04 -40.89 -43.57 -43.45 ... 256.2 139.6 99.75 159.6 203.6</span></div><div class='xr-array-data'><pre>array([[-38.85592254, -41.03748173, -40.88812626, ..., -72.10271874,\n",
       "        -80.26544368, -80.96326084],\n",
       "       [-37.88244185, -40.35722163, -41.83064945, ..., -66.22921692,\n",
       "        -77.36983617, -78.1477095 ],\n",
       "       [-44.34068128, -46.89051659, -46.87259821, ..., -56.32895304,\n",
       "        -69.74682414, -71.78928764],\n",
       "       ...,\n",
       "       [ 89.32803505, 130.01589866, 169.07271954, ..., 105.59043313,\n",
       "        109.17808241,  59.7092165 ],\n",
       "       [ 85.40530632, 122.85272188, 177.95164674, ..., 112.23876944,\n",
       "        169.22327379, 159.49468156],\n",
       "       [139.47489711, 342.85132546, 673.29882273, ...,  99.74658512,\n",
       "        159.57001618, 203.57262425]])</pre></div></div></li><li class='xr-section-item'><input id='section-30e6696a-0058-434d-a801-f2a6d98e8d5d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-30e6696a-0058-434d-a801-f2a6d98e8d5d' class='xr-section-summary' >Coordinates: <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-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'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-43d7603d-246b-4f9a-a776-a90ad4b11d7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43d7603d-246b-4f9a-a776-a90ad4b11d7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95930989-f038-48f8-ad2d-427ddc5a4253' class='xr-var-data-in' type='checkbox'><label for='data-95930989-f038-48f8-ad2d-427ddc5a4253' 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>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><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'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-c7a0eb37-632b-43a1-9ff5-0cc6c4137a44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7a0eb37-632b-43a1-9ff5-0cc6c4137a44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddfbd71f-50ec-4ed0-9e1c-dcf7d601d6ba' class='xr-var-data-in' type='checkbox'><label for='data-ddfbd71f-50ec-4ed0-9e1c-dcf7d601d6ba' 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>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-97ed0ed0-9e7d-48d2-8ebf-7ff3c14dbab0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-97ed0ed0-9e7d-48d2-8ebf-7ff3c14dbab0' 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 (lat: 40, lon: 32)>\n",
       "array([[-38.85592254, -41.03748173, -40.88812626, ..., -72.10271874,\n",
       "        -80.26544368, -80.96326084],\n",
       "       [-37.88244185, -40.35722163, -41.83064945, ..., -66.22921692,\n",
       "        -77.36983617, -78.1477095 ],\n",
       "       [-44.34068128, -46.89051659, -46.87259821, ..., -56.32895304,\n",
       "        -69.74682414, -71.78928764],\n",
       "       ...,\n",
       "       [ 89.32803505, 130.01589866, 169.07271954, ..., 105.59043313,\n",
       "        109.17808241,  59.7092165 ],\n",
       "       [ 85.40530632, 122.85272188, 177.95164674, ..., 112.23876944,\n",
       "        169.22327379, 159.49468156],\n",
       "       [139.47489711, 342.85132546, 673.29882273, ...,  99.74658512,\n",
       "        159.57001618, 203.57262425]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias_percentage = ((mpi - trmm)/trmm)*100\n",
    "bias_percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "08ba09cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting annual_pr_mean\n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "plt.rcParams['font.size'] = '16'\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias['lon'], bias['lat'],bias[:,:],\n",
    "                levels=np.arange(-15,15+3,3),   transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1,ticks=np.arange(-15,15+3,3), orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "\n",
    "\n",
    "plt.title('Seasonal Bias(RegCM MPI-TRMM)',fontsize=17)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias(mpi-trmm).png\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "9003db92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting bias percentage \n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias_percentage['lon'], bias_percentage['lat'],bias_percentage[:,:],\n",
    "                levels=np.arange(-150,150+25,25), transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1,ticks=np.arange(-150,150+25,25), orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'percentage')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    " \n",
    "\n",
    "plt.title('Seasonal Bias-Percentage(RegCM MPI-TRMM)',fontsize=17)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias_percentage(mpi-trmm).png\")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "220503a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Colormap CET_D1A is not recognized. Possible values are: Accent, Accent_r, Blues, Blues_r, \\nBrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens,\\nGreens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, \\nPastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy,\\nRdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, \\nSpectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn,\\nautumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, \\ncopper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat,\\ngist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r,\\ngnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, inferno, inferno_r, jet, jet_r, magma,\\nmagma_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, \\nseismic, seismic_r, spring, spring_r, summer, summer_r, tab10, tab10_r, tab20, tab20_r, tab20b, tab20b_r, tab20c, tab20c_r, \\nter'"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#cma colors\n",
    "'''Colormap CET_D1A is not recognized. Possible values are: Accent, Accent_r, Blues, Blues_r, \n",
    "BrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens,\n",
    "Greens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, \n",
    "Pastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy,\n",
    "RdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, \n",
    "Spectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn,\n",
    "autumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, \n",
    "copper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat,\n",
    "gist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r,\n",
    "gnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, inferno, inferno_r, jet, jet_r, magma,\n",
    "magma_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, \n",
    "seismic, seismic_r, spring, spring_r, summer, summer_r, tab10, tab10_r, tab20, tab20_r, tab20b, tab20b_r, tab20c, tab20c_r, \n",
    "ter'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "87f4ea28",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20e38f40",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "21be7cc5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "123d0a92",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}