Seasonal Bias(Eraint-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",
   "execution_count": 2,
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       "Dimensions:  (time: 132, lat: 400, lon: 1440)\n",
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       "    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-f0f4e8a3-13aa-4f68-aba9-4c6f69f0889f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f0f4e8a3-13aa-4f68-aba9-4c6f69f0889f' 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-7c939676-533f-4539-9e22-2342148f96b0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7c939676-533f-4539-9e22-2342148f96b0' 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-37be76e2-85d9-4eda-ac0c-3d3e23e120f2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-37be76e2-85d9-4eda-ac0c-3d3e23e120f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7fae2f0-6db9-4475-97ad-284cd2785c36' class='xr-var-data-in' type='checkbox'><label for='data-e7fae2f0-6db9-4475-97ad-284cd2785c36' 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-3d6bc5d3-c3cc-4d6c-a212-afecb7e1ae66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d6bc5d3-c3cc-4d6c-a212-afecb7e1ae66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e452ad61-05d7-4817-8fa3-a6da6e78ec6c' class='xr-var-data-in' type='checkbox'><label for='data-e452ad61-05d7-4817-8fa3-a6da6e78ec6c' 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-e3f0107a-3c6d-45ef-bb88-4c5912db3c07' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3f0107a-3c6d-45ef-bb88-4c5912db3c07' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61d876b7-cdd0-457f-b632-4425c5689140' class='xr-var-data-in' type='checkbox'><label for='data-61d876b7-cdd0-457f-b632-4425c5689140' 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-75034142-6564-4ac3-816c-9bdd4567ee6f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-75034142-6564-4ac3-816c-9bdd4567ee6f' 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-a4dea3e7-04ed-4bf4-a71b-58268f083923' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4dea3e7-04ed-4bf4-a71b-58268f083923' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41413121-3479-4b04-951e-0d3db62cb403' class='xr-var-data-in' type='checkbox'><label for='data-41413121-3479-4b04-951e-0d3db62cb403' 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-7f9b4b25-202c-4dbc-8f05-2fd81fab14ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f9b4b25-202c-4dbc-8f05-2fd81fab14ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0104dfe-192d-4e49-ac59-ef629ef5a53e' class='xr-var-data-in' type='checkbox'><label for='data-d0104dfe-192d-4e49-ac59-ef629ef5a53e' 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-d4522bee-6726-41ce-a87d-c3493f8693aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4522bee-6726-41ce-a87d-c3493f8693aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81aa3e7b-3f85-4079-99c9-13a993ec4755' class='xr-var-data-in' type='checkbox'><label for='data-81aa3e7b-3f85-4079-99c9-13a993ec4755' 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-4c41aa3d-48a0-4f05-8ea2-4d06243243a6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4c41aa3d-48a0-4f05-8ea2-4d06243243a6' 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: 131, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-02-01 1998-03-01 ... 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 19980201 19980301 19980401 ... 20081101 20081201\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-159c6f70-84af-4ce0-8cab-c074ef470107' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-159c6f70-84af-4ce0-8cab-c074ef470107' 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>: 131</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-399150d7-b642-4947-890e-93f074d9113c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-399150d7-b642-4947-890e-93f074d9113c' 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 ... 2008-12-01</div><input id='attrs-d94a65f7-c695-4556-a97a-e52f42b7c387' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d94a65f7-c695-4556-a97a-e52f42b7c387' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70284d71-b728-4de4-8a1e-b4ebd61797c3' class='xr-var-data-in' type='checkbox'><label for='data-70284d71-b728-4de4-8a1e-b4ebd61797c3' 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;, &#x27;2006-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-02-01T00:00:00.000000000&#x27;, &#x27;2006-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-04-01T00:00:00.000000000&#x27;, &#x27;2006-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-01T00:00:00.000000000&#x27;, &#x27;2006-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-01T00:00:00.000000000&#x27;, &#x27;2006-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-10-01T00:00:00.000000000&#x27;, &#x27;2006-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-12-01T00:00:00.000000000&#x27;, &#x27;2007-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-02-01T00:00:00.000000000&#x27;, &#x27;2007-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-04-01T00:00:00.000000000&#x27;, &#x27;2007-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-01T00:00:00.000000000&#x27;, &#x27;2007-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-01T00:00:00.000000000&#x27;, &#x27;2007-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-10-01T00:00:00.000000000&#x27;, &#x27;2007-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-12-01T00:00:00.000000000&#x27;, &#x27;2008-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-02-01T00:00:00.000000000&#x27;, &#x27;2008-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-04-01T00:00:00.000000000&#x27;, &#x27;2008-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-01T00:00:00.000000000&#x27;, &#x27;2008-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-01T00:00:00.000000000&#x27;, &#x27;2008-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-10-01T00:00:00.000000000&#x27;, &#x27;2008-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-12-01T00:00:00.000000000&#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-a30f8cf6-0ba2-4d04-9180-832c5f3ecf46' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a30f8cf6-0ba2-4d04-9180-832c5f3ecf46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11199240-d18a-430d-ad51-58e896ae2558' class='xr-var-data-in' type='checkbox'><label for='data-11199240-d18a-430d-ad51-58e896ae2558' 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-701107dd-52c8-4a6a-a28e-0984b3ba60c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-701107dd-52c8-4a6a-a28e-0984b3ba60c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-089d1fa2-f6b5-4d27-b717-926015d2a67a' class='xr-var-data-in' type='checkbox'><label for='data-089d1fa2-f6b5-4d27-b717-926015d2a67a' 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-a585d116-2eca-413a-9617-7d02957e3d5c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a585d116-2eca-413a-9617-7d02957e3d5c' 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 ... 20081201</div><input id='attrs-12c8af57-7220-40d6-b1c9-d41caac97f59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12c8af57-7220-40d6-b1c9-d41caac97f59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e9e4ae0-1a0f-4653-a9ef-14d64cf16e30' class='xr-var-data-in' type='checkbox'><label for='data-1e9e4ae0-1a0f-4653-a9ef-14d64cf16e30' 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, 20060101, 20060201, 20060301,\n",
       "       20060401, 20060501, 20060601, 20060701, 20060801, 20060901, 20061001,\n",
       "       20061101, 20061201, 20070101, 20070201, 20070301, 20070401, 20070501,\n",
       "       20070601, 20070701, 20070801, 20070901, 20071001, 20071101, 20071201,\n",
       "       20080101, 20080201, 20080301, 20080401, 20080501, 20080601, 20080701,\n",
       "       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'>1 days 1 days ... 1 days 1 days</div><input id='attrs-b64b57c3-11b0-4ec9-961f-1980fb8ba9ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b64b57c3-11b0-4ec9-961f-1980fb8ba9ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44f1b1bb-b73c-4a52-a85d-e2501bbd2a2b' class='xr-var-data-in' type='checkbox'><label for='data-44f1b1bb-b73c-4a52-a85d-e2501bbd2a2b' 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], 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-676bdcd7-23a4-4f05-8e89-86c68fa5078e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-676bdcd7-23a4-4f05-8e89-86c68fa5078e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be5bb0b5-3294-4487-b441-1cf1a5d54265' class='xr-var-data-in' type='checkbox'><label for='data-be5bb0b5-3294-4487-b441-1cf1a5d54265' 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>[75456000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-729626eb-937b-4d80-9cd8-46405e5c0ee7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-729626eb-937b-4d80-9cd8-46405e5c0ee7' 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: 131, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-02-01 1998-03-01 ... 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 19980201 19980301 19980401 ... 20081101 20081201\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','2008-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "10070b93",
   "metadata": {},
   "outputs": [
    {
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       "  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: 44, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2008-09-01\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 ... 20080801 20080901\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-7334d451-6e0f-4372-abe0-b2970410b49e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7334d451-6e0f-4372-abe0-b2970410b49e' 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>: 44</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-17232854-28ec-442a-9158-3a3fa7865ab1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-17232854-28ec-442a-9158-3a3fa7865ab1' 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 ... 2008-09-01</div><input id='attrs-83686666-0866-4ebf-aed1-7fd4217700b8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-83686666-0866-4ebf-aed1-7fd4217700b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a360fdd2-d606-4f9d-80b1-cdb89636579b' class='xr-var-data-in' type='checkbox'><label for='data-a360fdd2-d606-4f9d-80b1-cdb89636579b' 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",
       "       &#x27;2006-06-01T00:00:00.000000000&#x27;, &#x27;2006-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-01T00:00:00.000000000&#x27;, &#x27;2006-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-01T00:00:00.000000000&#x27;, &#x27;2007-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-01T00:00:00.000000000&#x27;, &#x27;2007-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-01T00:00:00.000000000&#x27;, &#x27;2008-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-01T00:00:00.000000000&#x27;, &#x27;2008-09-01T00:00:00.000000000&#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-ed80e978-c387-4050-bf2c-4c03900cd467' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed80e978-c387-4050-bf2c-4c03900cd467' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f6e7cfe-9eed-44c6-b6ce-db8aa2ecb851' class='xr-var-data-in' type='checkbox'><label for='data-5f6e7cfe-9eed-44c6-b6ce-db8aa2ecb851' 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-7ca75daa-9a31-4698-a21a-bf0781f45995' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ca75daa-9a31-4698-a21a-bf0781f45995' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8654276-622e-4833-b894-8db085899586' class='xr-var-data-in' type='checkbox'><label for='data-a8654276-622e-4833-b894-8db085899586' 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-a795aecf-9251-4b0e-83fd-5d192f61b91d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a795aecf-9251-4b0e-83fd-5d192f61b91d' 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 ... 20080901</div><input id='attrs-fc3f4734-d56e-4539-8588-932b5f47bc2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc3f4734-d56e-4539-8588-932b5f47bc2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7040ceb3-eb85-40b8-8fc3-358fae59ff2c' class='xr-var-data-in' type='checkbox'><label for='data-7040ceb3-eb85-40b8-8fc3-358fae59ff2c' 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, 20060601, 20060701, 20060801,\n",
       "       20060901, 20070601, 20070701, 20070801, 20070901, 20080601, 20080701,\n",
       "       20080801, 20080901], 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-80eb9f7c-f537-464d-ae25-6ba99a8d2327' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80eb9f7c-f537-464d-ae25-6ba99a8d2327' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f48bab6-ce69-4f87-9a49-323fc0e935b5' class='xr-var-data-in' type='checkbox'><label for='data-2f48bab6-ce69-4f87-9a49-323fc0e935b5' 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",
       "      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-078daf70-1c8f-4c26-89a7-9286c260e29f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-078daf70-1c8f-4c26-89a7-9286c260e29f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a951f693-9a14-4643-9a81-fdc320d9cfd0' class='xr-var-data-in' type='checkbox'><label for='data-a951f693-9a14-4643-9a81-fdc320d9cfd0' 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>[25344000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fe1b6cd2-d84a-4cdd-b032-c26d1cd99049' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fe1b6cd2-d84a-4cdd-b032-c26d1cd99049' 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: 44, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2008-09-01\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 ... 20080801 20080901\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": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 44, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2008-09-01\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 ... 20080801 20080901\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 ... 0.1546 0.1725\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-b1b646a6-dd9e-442e-a09a-b7ff6f067c97' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b1b646a6-dd9e-442e-a09a-b7ff6f067c97' 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>: 44</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-2ba5cc5a-42d2-43b7-b337-d0789ea1eb61' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2ba5cc5a-42d2-43b7-b337-d0789ea1eb61' 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 ... 2008-09-01</div><input id='attrs-df54d933-ee39-4248-bd0c-1dcb4675725b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-df54d933-ee39-4248-bd0c-1dcb4675725b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcbdfbe7-9815-4ecd-bcaf-0da8d6173955' class='xr-var-data-in' type='checkbox'><label for='data-fcbdfbe7-9815-4ecd-bcaf-0da8d6173955' 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",
       "       &#x27;2006-06-01T00:00:00.000000000&#x27;, &#x27;2006-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-01T00:00:00.000000000&#x27;, &#x27;2006-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-01T00:00:00.000000000&#x27;, &#x27;2007-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-01T00:00:00.000000000&#x27;, &#x27;2007-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-01T00:00:00.000000000&#x27;, &#x27;2008-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-01T00:00:00.000000000&#x27;, &#x27;2008-09-01T00:00:00.000000000&#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-b7eb2649-a260-4f93-b3c5-1371a5b145eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7eb2649-a260-4f93-b3c5-1371a5b145eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ff683e5-451c-421f-96af-cc5a4a1acb4f' class='xr-var-data-in' type='checkbox'><label for='data-7ff683e5-451c-421f-96af-cc5a4a1acb4f' 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-a38c3dfd-ac93-43ca-a3c7-57cd8d010a59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a38c3dfd-ac93-43ca-a3c7-57cd8d010a59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d647ec80-8b83-44c4-a58b-192e4d4d3b7c' class='xr-var-data-in' type='checkbox'><label for='data-d647ec80-8b83-44c4-a58b-192e4d4d3b7c' 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-3a2d7b04-dd86-4d64-a16a-90e50e7beaa6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3a2d7b04-dd86-4d64-a16a-90e50e7beaa6' 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 ... 20080901</div><input id='attrs-e6b86bf9-ede8-4238-961b-16831bef794f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6b86bf9-ede8-4238-961b-16831bef794f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-feba4adf-4aae-4961-97c4-ada62ea29e42' class='xr-var-data-in' type='checkbox'><label for='data-feba4adf-4aae-4961-97c4-ada62ea29e42' 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, 20060601, 20060701, 20060801,\n",
       "       20060901, 20070601, 20070701, 20070801, 20070901, 20080601, 20080701,\n",
       "       20080801, 20080901], 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-8dfe31b9-4407-436b-9680-1de1e6ff74c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8dfe31b9-4407-436b-9680-1de1e6ff74c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97cde56f-0135-4794-8eba-a9fc3e09c4fb' class='xr-var-data-in' type='checkbox'><label for='data-97cde56f-0135-4794-8eba-a9fc3e09c4fb' 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",
       "      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-88e018ba-b92c-4e6b-800e-8e8b5db8de4e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88e018ba-b92c-4e6b-800e-8e8b5db8de4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c406a114-4dc4-47f4-a031-a5dcb731f844' class='xr-var-data-in' type='checkbox'><label for='data-c406a114-4dc4-47f4-a031-a5dcb731f844' 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",
       "       [[0.669274, 0.585887, ..., 0.614507, 0.154847],\n",
       "        [0.662984, 0.594718, ..., 0.55713 , 0.18286 ],\n",
       "        ...,\n",
       "        [0.427335, 0.389131, ..., 0.39354 , 0.399715],\n",
       "        [0.399937, 0.253079, ..., 0.376333, 0.389909]],\n",
       "\n",
       "       [[0.522167, 0.476667, ..., 0.405844, 0.104389],\n",
       "        [0.62325 , 0.64275 , ..., 0.39959 , 0.097351],\n",
       "        ...,\n",
       "        [0.190438, 0.159591, ..., 0.16268 , 0.177877],\n",
       "        [0.246148, 0.161277, ..., 0.154624, 0.172511]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c078098a-0c1c-4b03-aa1c-80af152be931' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c078098a-0c1c-4b03-aa1c-80af152be931' 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: 44, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2008-09-01\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 ... 20080801 20080901\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": "91600dec",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --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: 44, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2008-09-01\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20080801 20080901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float64 0.4308 0.3221 0.2765 ... 0.1546 0.1725\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-50ae86b6-789f-4c41-a339-a29322a4815b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-50ae86b6-789f-4c41-a339-a29322a4815b' 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>: 44</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-e3d37e76-ecee-4f40-b822-565e0b09109e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e3d37e76-ecee-4f40-b822-565e0b09109e' 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 ... 2008-09-01</div><input id='attrs-1df626f8-73f9-492b-b01a-89cba03b3d99' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1df626f8-73f9-492b-b01a-89cba03b3d99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92b89f8f-b299-4b34-88d1-58e6b57c4ff1' class='xr-var-data-in' type='checkbox'><label for='data-92b89f8f-b299-4b34-88d1-58e6b57c4ff1' 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",
       "       &#x27;2006-06-01T00:00:00.000000000&#x27;, &#x27;2006-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-01T00:00:00.000000000&#x27;, &#x27;2006-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-01T00:00:00.000000000&#x27;, &#x27;2007-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-01T00:00:00.000000000&#x27;, &#x27;2007-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-01T00:00:00.000000000&#x27;, &#x27;2008-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-01T00:00:00.000000000&#x27;, &#x27;2008-09-01T00:00:00.000000000&#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'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-61c2698e-a52f-4774-b7ee-e4a65cd6994e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61c2698e-a52f-4774-b7ee-e4a65cd6994e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37d12bdb-289f-4f3a-9bf0-479f791ecab0' class='xr-var-data-in' type='checkbox'><label for='data-37d12bdb-289f-4f3a-9bf0-479f791ecab0' 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])</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'>float64</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-97bf2154-a1aa-4c33-a653-5f2f6e221709' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97bf2154-a1aa-4c33-a653-5f2f6e221709' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4c12c41-7dfd-45cb-b445-88eee1828861' class='xr-var-data-in' type='checkbox'><label for='data-e4c12c41-7dfd-45cb-b445-88eee1828861' 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])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-837c8906-2b55-4f53-8491-138a3e3beec8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-837c8906-2b55-4f53-8491-138a3e3beec8' 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 ... 20080901</div><input id='attrs-7e43f58b-6010-4a4b-84e1-83f45509b25a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e43f58b-6010-4a4b-84e1-83f45509b25a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c50aa15-c028-4db1-be39-ddb46607c444' class='xr-var-data-in' type='checkbox'><label for='data-9c50aa15-c028-4db1-be39-ddb46607c444' 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, 20060601, 20060701, 20060801,\n",
       "       20060901, 20070601, 20070701, 20070801, 20070901, 20080601, 20080701,\n",
       "       20080801, 20080901], 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-f253967e-e0b6-490a-b668-ba70d57c1d64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f253967e-e0b6-490a-b668-ba70d57c1d64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-596c0e0a-0586-46f4-a704-c18d778910e0' class='xr-var-data-in' type='checkbox'><label for='data-596c0e0a-0586-46f4-a704-c18d778910e0' 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",
       "      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'>float64</div><div class='xr-var-preview xr-preview'>0.4308 0.3221 ... 0.1546 0.1725</div><input id='attrs-e2ec3a55-d504-4556-8021-2aee119f4460' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2ec3a55-d504-4556-8021-2aee119f4460' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b46f4d3-8b4c-4799-890d-14ca09c2b8b7' class='xr-var-data-in' type='checkbox'><label for='data-5b46f4d3-8b4c-4799-890d-14ca09c2b8b7' 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([[[0.43078125, 0.32212433, 0.27652851, ..., 0.71414649,\n",
       "         0.69097066, 0.51104361],\n",
       "        [0.34645832, 0.28588545, 0.27891186, ..., 0.67252439,\n",
       "         0.71405703, 0.53020412],\n",
       "        [0.30466321, 0.28692707, 0.34890625, ..., 0.52755976,\n",
       "         0.44530717, 0.50524467],\n",
       "        ...,\n",
       "        [0.25164425, 0.22906637, 0.22276108, ..., 0.33158243,\n",
       "         0.39273235, 0.46620294],\n",
       "        [0.21053816, 0.24256794, 0.22192635, ..., 0.33510813,\n",
       "         0.34741056, 0.41668078],\n",
       "        [0.23194218, 0.24844146, 0.20519544, ..., 0.33965585,\n",
       "         0.34638026, 0.3829622 ]],\n",
       "\n",
       "       [[0.37044898, 0.34102049, 0.26514283, ..., 0.80254507,\n",
       "         0.74981993, 1.0030787 ],\n",
       "        [0.40648982, 0.32844895, 0.33179593, ..., 0.71308237,\n",
       "         0.75142395, 0.94209349],\n",
       "        [0.37599996, 0.33314285, 0.31755105, ..., 0.62495816,\n",
       "         0.7886126 , 0.82755727],\n",
       "...\n",
       "        [0.3215358 , 0.29425463, 0.30826288, ..., 0.42182425,\n",
       "         0.42999765, 0.49165663],\n",
       "        [0.42733508, 0.38913107, 0.27142769, ..., 0.37139747,\n",
       "         0.39354011, 0.39971459],\n",
       "        [0.3999373 , 0.25307888, 0.18362334, ..., 0.37438467,\n",
       "         0.37633306, 0.38990939]],\n",
       "\n",
       "       [[0.52216661, 0.47666663, 0.47158337, ..., 0.37171856,\n",
       "         0.40584445, 0.10438898],\n",
       "        [0.62325001, 0.64275002, 0.5449999 , ..., 0.36562327,\n",
       "         0.39959037, 0.09735143],\n",
       "        [0.41658324, 0.53420824, 0.67958325, ..., 0.37486681,\n",
       "         0.09073243, 0.08465517],\n",
       "        ...,\n",
       "        [0.23062222, 0.19550574, 0.15468805, ..., 0.16365661,\n",
       "         0.17726745, 0.20500195],\n",
       "        [0.19043835, 0.15959059, 0.14844435, ..., 0.16518691,\n",
       "         0.16267985, 0.17787705],\n",
       "        [0.24614835, 0.16127686, 0.11297111, ..., 0.14429274,\n",
       "         0.15462402, 0.17251129]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e182d254-66b2-4aa5-b579-571cc7fb005f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e182d254-66b2-4aa5-b579-571cc7fb005f' 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: 44, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2008-09-01\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20080801 20080901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float64 0.4308 0.3221 0.2765 ... 0.1546 0.1725\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": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#interpolating to low resolution \n",
    "new_lon=np.arange(86.125,94,0.25)\n",
    "new_lat=np.arange(18.125,28,.25)\n",
    "jjas_data = jjas_data.interp(lon=new_lon,lat=new_lat)\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "82d6b5d0",
   "metadata": {},
   "outputs": [
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       ".xr-icon-database,\n",
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       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[0.41169896, 0.4162719 , 0.42498837, ..., 0.90354562, 0.86019864,\n",
       "        0.62904522],\n",
       "       [0.40099814, 0.41317001, 0.42096477, ..., 0.81703515, 0.8430232 ,\n",
       "        0.66129965],\n",
       "       [0.40974662, 0.42470233, 0.43301917, ..., 0.74895285, 0.61735615,\n",
       "        0.6201029 ],\n",
       "       ...,\n",
       "       [0.30530888, 0.2881662 , 0.27591417, ..., 0.31848547, 0.33443026,\n",
       "        0.38756255],\n",
       "       [0.31809422, 0.28972163, 0.25372516, ..., 0.299688  , 0.30656547,\n",
       "        0.32876451],\n",
       "       [0.28422865, 0.24842506, 0.2023861 , ..., 0.30493225, 0.32380772,\n",
       "        0.31599506]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 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'>'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-24170fd2-486a-49ff-bd08-2067ed1740b2' class='xr-array-in' type='checkbox' checked><label for='section-24170fd2-486a-49ff-bd08-2067ed1740b2' 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>0.4117 0.4163 0.425 0.4361 0.4474 ... 0.2448 0.282 0.3049 0.3238 0.316</span></div><div class='xr-array-data'><pre>array([[0.41169896, 0.4162719 , 0.42498837, ..., 0.90354562, 0.86019864,\n",
       "        0.62904522],\n",
       "       [0.40099814, 0.41317001, 0.42096477, ..., 0.81703515, 0.8430232 ,\n",
       "        0.66129965],\n",
       "       [0.40974662, 0.42470233, 0.43301917, ..., 0.74895285, 0.61735615,\n",
       "        0.6201029 ],\n",
       "       ...,\n",
       "       [0.30530888, 0.2881662 , 0.27591417, ..., 0.31848547, 0.33443026,\n",
       "        0.38756255],\n",
       "       [0.31809422, 0.28972163, 0.25372516, ..., 0.299688  , 0.30656547,\n",
       "        0.32876451],\n",
       "       [0.28422865, 0.24842506, 0.2023861 , ..., 0.30493225, 0.32380772,\n",
       "        0.31599506]])</pre></div></div></li><li class='xr-section-item'><input id='section-04b63da9-17ee-4a49-a0be-112b697462e3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-04b63da9-17ee-4a49-a0be-112b697462e3' 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'>float64</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-62fe03f2-2a52-4d70-ae52-10a512a89711' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62fe03f2-2a52-4d70-ae52-10a512a89711' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-096a25ec-bc7f-45f2-af1e-0791ac8cf7bc' class='xr-var-data-in' type='checkbox'><label for='data-096a25ec-bc7f-45f2-af1e-0791ac8cf7bc' 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])</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'>float64</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-99c63eb5-a6b2-4cd2-a701-9763251ebc25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99c63eb5-a6b2-4cd2-a701-9763251ebc25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad096a8d-4994-4572-9448-a44d1fb134d8' class='xr-var-data-in' type='checkbox'><label for='data-ad096a8d-4994-4572-9448-a44d1fb134d8' 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])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-32f5cfeb-b054-4358-ae1d-3addba590728' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-32f5cfeb-b054-4358-ae1d-3addba590728' 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([[0.41169896, 0.4162719 , 0.42498837, ..., 0.90354562, 0.86019864,\n",
       "        0.62904522],\n",
       "       [0.40099814, 0.41317001, 0.42096477, ..., 0.81703515, 0.8430232 ,\n",
       "        0.66129965],\n",
       "       [0.40974662, 0.42470233, 0.43301917, ..., 0.74895285, 0.61735615,\n",
       "        0.6201029 ],\n",
       "       ...,\n",
       "       [0.30530888, 0.2881662 , 0.27591417, ..., 0.31848547, 0.33443026,\n",
       "        0.38756255],\n",
       "       [0.31809422, 0.28972163, 0.25372516, ..., 0.299688  , 0.30656547,\n",
       "        0.32876451],\n",
       "       [0.28422865, 0.24842506, 0.2023861 , ..., 0.30493225, 0.32380772,\n",
       "        0.31599506]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "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",
    "pr_mm\n",
    "\n",
    "\n",
    "trmm = pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b6d9b2b3",
   "metadata": {},
   "outputs": [
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       ".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: 467, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1979-01-16T12:00:00 ... 2017-11-16\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] 1979-01-01 1979-02-01 ... 2017-12-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 11:06:26 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\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-af9a58a6-dcbf-43b7-b1c3-9b2a40f2d06d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-af9a58a6-dcbf-43b7-b1c3-9b2a40f2d06d' 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>: 467</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-2f8a5c95-9cdf-41a1-9f15-fce259a47ad5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2f8a5c95-9cdf-41a1-9f15-fce259a47ad5' 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'>1979-01-16T12:00:00 ... 2017-11-16</div><input id='attrs-1b6f6442-9951-46da-90f1-081f722c0c14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b6f6442-9951-46da-90f1-081f722c0c14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1527081a-8cb0-40b7-aad2-87e7614aba50' class='xr-var-data-in' type='checkbox'><label for='data-1527081a-8cb0-40b7-aad2-87e7614aba50' 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;1979-01-16T12:00:00.000000000&#x27;, &#x27;1979-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1979-03-16T12:00:00.000000000&#x27;, ..., &#x27;2017-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-16T12:00:00.000000000&#x27;, &#x27;2017-11-16T00:00:00.000000000&#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-5a2441cd-14d7-45f5-ac2c-8d0ed8d19288' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a2441cd-14d7-45f5-ac2c-8d0ed8d19288' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a124ed3-04f7-4bfb-83c7-f73f1d98597d' class='xr-var-data-in' type='checkbox'><label for='data-1a124ed3-04f7-4bfb-83c7-f73f1d98597d' 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-12cd8aa3-7b66-4cfb-9d94-48f902a0ceeb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12cd8aa3-7b66-4cfb-9d94-48f902a0ceeb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a63fce4-37ee-4fbd-9af5-120a4dc61d03' class='xr-var-data-in' type='checkbox'><label for='data-2a63fce4-37ee-4fbd-9af5-120a4dc61d03' 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-1589580a-14e6-4e28-b5a8-e5e019c78731' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1589580a-14e6-4e28-b5a8-e5e019c78731' 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-7bedbe44-e269-4ea2-b169-1e95386a6db1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7bedbe44-e269-4ea2-b169-1e95386a6db1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05d844dd-09ec-4a65-b5bb-134ab4442537' class='xr-var-data-in' type='checkbox'><label for='data-05d844dd-09ec-4a65-b5bb-134ab4442537' 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;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-02-01T00:00:00.000000000&#x27;, &#x27;1979-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-03-01T00:00:00.000000000&#x27;, &#x27;1979-04-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2017-09-01T00:00:00.000000000&#x27;, &#x27;2017-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2017-10-01T00:00:00.000000000&#x27;, &#x27;2017-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2017-11-01T00:00:00.000000000&#x27;, &#x27;2017-12-01T00:00:00.000000000&#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-6d030d69-3d8b-43b6-a61c-6af9ea9c37e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d030d69-3d8b-43b6-a61c-6af9ea9c37e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5226073f-00e4-4f1c-ab44-f4a01c82210b' class='xr-var-data-in' type='checkbox'><label for='data-5226073f-00e4-4f1c-ab44-f4a01c82210b' 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>[597760 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9b4443f9-e5cd-40aa-8af1-e366c46e68c9' class='xr-section-summary-in' type='checkbox'  ><label for='section-9b4443f9-e5cd-40aa-8af1-e366c46e68c9' 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>Wed Jul 20 11:06:26 2022: cdo remapnn,grid.des pr_was-22-ecmwf_197901-201711.nc pr_was-22-ecmwf_197901-201711_remap1.nc\n",
       "Wed Jul 13 17:38:34 2022: cdo mergetime pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_197901-198012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-201012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_201101-201711.nc pr_was-22-ecmwf_197901-201711.nc\n",
       "2018-02-13 16:42:58 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>International Centre for Theoretical Physics</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>EVALUATION</dd><dt><span>institute_id :</span></dt><dd>ICTP</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX India25 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>2019-09-12T15:13:03Z</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>none</dd><dt><span>contact :</span></dt><dd>esp@ictp.it</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>f1ed9934-3b9a-11e9-8719-0894ef50c218</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>EIN75</dd><dt><span>model_sst_data_source :</span></dt><dd>EIN75</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> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2016-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</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>240.0</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>evaluation</dd><dt><span>driving_experiment :</span></dt><dd>ECMWF-ERAINT, evaluation, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>ECMWF-ERAINT</dd><dt><span>driving_experiment_name :</span></dt><dd>evaluation</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: 467, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1979-01-16T12:00:00 ... 2017-11-16\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] ...\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 11:06:26 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#opening eraint data\n",
    "\n",
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/regcm driven by gcm/Era_intrim/pr_was-22-ecmwf_197901-201711_remap1.nc')\n",
    " \n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "cafd5692",
   "metadata": {},
   "outputs": [
    {
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       "  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: 131, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-01-16T12:00:00 ... 2008-11-16\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 ... 2008-12-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 11:06:26 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\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-2ed3c9c0-8f4d-4daf-899f-bf847fa94885' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2ed3c9c0-8f4d-4daf-899f-bf847fa94885' 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>: 131</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-1e550501-63e6-4eb5-94fd-4a8eba66efe5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1e550501-63e6-4eb5-94fd-4a8eba66efe5' 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 ... 2008-11-16</div><input id='attrs-7bb9c2a8-32ec-4088-ad3a-a07ff4b94159' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7bb9c2a8-32ec-4088-ad3a-a07ff4b94159' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cadb819-7729-426a-94f0-497c21797821' class='xr-var-data-in' type='checkbox'><label for='data-6cadb819-7729-426a-94f0-497c21797821' 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;, &#x27;2005-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-01-16T12:00:00.000000000&#x27;, &#x27;2006-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-03-16T12:00:00.000000000&#x27;, &#x27;2006-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-05-16T12:00:00.000000000&#x27;, &#x27;2006-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-07-16T12:00:00.000000000&#x27;, &#x27;2006-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-09-16T00:00:00.000000000&#x27;, &#x27;2006-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-11-16T00:00:00.000000000&#x27;, &#x27;2006-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-01-16T12:00:00.000000000&#x27;, &#x27;2007-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-03-16T12:00:00.000000000&#x27;, &#x27;2007-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-05-16T12:00:00.000000000&#x27;, &#x27;2007-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-07-16T12:00:00.000000000&#x27;, &#x27;2007-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-09-16T00:00:00.000000000&#x27;, &#x27;2007-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-11-16T00:00:00.000000000&#x27;, &#x27;2007-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-01-16T12:00:00.000000000&#x27;, &#x27;2008-02-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-03-16T12:00:00.000000000&#x27;, &#x27;2008-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-05-16T12:00:00.000000000&#x27;, &#x27;2008-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-07-16T12:00:00.000000000&#x27;, &#x27;2008-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-09-16T00:00:00.000000000&#x27;, &#x27;2008-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-11-16T00:00:00.000000000&#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-40efa888-0b12-4c80-9222-2a5863c78b9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40efa888-0b12-4c80-9222-2a5863c78b9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7c711bb-6723-475b-a7fe-934e6e124c38' class='xr-var-data-in' type='checkbox'><label for='data-c7c711bb-6723-475b-a7fe-934e6e124c38' 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-f582a9d0-90ab-45c5-8b25-d0fab6efe388' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f582a9d0-90ab-45c5-8b25-d0fab6efe388' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af0d831f-ec60-4676-9347-14a3e80e1d97' class='xr-var-data-in' type='checkbox'><label for='data-af0d831f-ec60-4676-9347-14a3e80e1d97' 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-5cfb37c4-fd65-4fef-a26d-0a3d2313d58a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5cfb37c4-fd65-4fef-a26d-0a3d2313d58a' 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 ... 2008-12-01</div><input id='attrs-3c71dd55-ad3b-423c-a844-f9c42b10070b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3c71dd55-ad3b-423c-a844-f9c42b10070b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a844e23b-4cec-4c03-bf13-3f7b30b98667' class='xr-var-data-in' type='checkbox'><label for='data-a844e23b-4cec-4c03-bf13-3f7b30b98667' 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",
       "       ...,\n",
       "       [&#x27;2008-09-01T00:00:00.000000000&#x27;, &#x27;2008-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2008-10-01T00:00:00.000000000&#x27;, &#x27;2008-11-01T00:00:00.000000000&#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>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-e8f73e0f-3ad9-4f1a-8131-5fd8de7c093a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8f73e0f-3ad9-4f1a-8131-5fd8de7c093a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86965947-f3dc-4068-8afe-8434b7bf265a' class='xr-var-data-in' type='checkbox'><label for='data-86965947-f3dc-4068-8afe-8434b7bf265a' 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>[167680 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-09b8ac25-2b4c-4787-ace3-d316b9e3e31a' class='xr-section-summary-in' type='checkbox'  ><label for='section-09b8ac25-2b4c-4787-ace3-d316b9e3e31a' 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>Wed Jul 20 11:06:26 2022: cdo remapnn,grid.des pr_was-22-ecmwf_197901-201711.nc pr_was-22-ecmwf_197901-201711_remap1.nc\n",
       "Wed Jul 13 17:38:34 2022: cdo mergetime pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_197901-198012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-201012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_201101-201711.nc pr_was-22-ecmwf_197901-201711.nc\n",
       "2018-02-13 16:42:58 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>International Centre for Theoretical Physics</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>EVALUATION</dd><dt><span>institute_id :</span></dt><dd>ICTP</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX India25 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>2019-09-12T15:13:03Z</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>none</dd><dt><span>contact :</span></dt><dd>esp@ictp.it</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>f1ed9934-3b9a-11e9-8719-0894ef50c218</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>EIN75</dd><dt><span>model_sst_data_source :</span></dt><dd>EIN75</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> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2016-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</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>240.0</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>evaluation</dd><dt><span>driving_experiment :</span></dt><dd>ECMWF-ERAINT, evaluation, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>ECMWF-ERAINT</dd><dt><span>driving_experiment_name :</span></dt><dd>evaluation</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: 131, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-01-16T12:00:00 ... 2008-11-16\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 ... 2008-12-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 11:06:26 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\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','2008-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c811b0f2",
   "metadata": {},
   "outputs": [
    {
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       "  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: 44, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-06-16 ... 2008-09-16\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 ... 2008-10-01\n",
       "    pr         (time, lat, lon) float32 2.473e-06 1.389e-06 ... 0.0002325\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 11:06:26 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\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-a55832e2-486e-4524-b552-cbb277bb2c24' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a55832e2-486e-4524-b552-cbb277bb2c24' 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>: 44</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-689d9182-8f34-4044-b859-cbaaef385250' class='xr-section-summary-in' type='checkbox'  checked><label for='section-689d9182-8f34-4044-b859-cbaaef385250' 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 ... 2008-09-16</div><input id='attrs-05ffce9d-1d91-47e3-a609-d7ed5d6fc7a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05ffce9d-1d91-47e3-a609-d7ed5d6fc7a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02915cfe-9648-48d1-811b-04f756e7b1ac' class='xr-var-data-in' type='checkbox'><label for='data-02915cfe-9648-48d1-811b-04f756e7b1ac' 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",
       "       &#x27;2006-06-16T00:00:00.000000000&#x27;, &#x27;2006-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-16T12:00:00.000000000&#x27;, &#x27;2006-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-16T00:00:00.000000000&#x27;, &#x27;2007-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-16T12:00:00.000000000&#x27;, &#x27;2007-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-16T00:00:00.000000000&#x27;, &#x27;2008-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-16T12:00:00.000000000&#x27;, &#x27;2008-09-16T00:00:00.000000000&#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-5177d939-4ce2-4e31-861d-9c16faf0b926' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5177d939-4ce2-4e31-861d-9c16faf0b926' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cbdf502-1ee4-4bd7-9767-906ecf88f90e' class='xr-var-data-in' type='checkbox'><label for='data-5cbdf502-1ee4-4bd7-9767-906ecf88f90e' 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-ce06e8e5-ebb4-4786-b476-1ba2781e63df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce06e8e5-ebb4-4786-b476-1ba2781e63df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8fc2f4f-6c80-492b-aa5d-d280768cabea' class='xr-var-data-in' type='checkbox'><label for='data-d8fc2f4f-6c80-492b-aa5d-d280768cabea' 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-9a8f4731-19ae-4de4-9d03-043e1214df40' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9a8f4731-19ae-4de4-9d03-043e1214df40' 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 ... 2008-10-01</div><input id='attrs-09d6c15d-1c82-494e-9bee-e00421114b33' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-09d6c15d-1c82-494e-9bee-e00421114b33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcdf9a03-2231-4ec1-b2f1-86d2d5b1ae34' class='xr-var-data-in' type='checkbox'><label for='data-fcdf9a03-2231-4ec1-b2f1-86d2d5b1ae34' 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",
       "       [&#x27;2006-06-01T00:00:00.000000000&#x27;, &#x27;2006-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2006-07-01T00:00:00.000000000&#x27;, &#x27;2006-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2006-08-01T00:00:00.000000000&#x27;, &#x27;2006-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2006-09-01T00:00:00.000000000&#x27;, &#x27;2006-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2007-06-01T00:00:00.000000000&#x27;, &#x27;2007-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2007-07-01T00:00:00.000000000&#x27;, &#x27;2007-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2007-08-01T00:00:00.000000000&#x27;, &#x27;2007-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2007-09-01T00:00:00.000000000&#x27;, &#x27;2007-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2008-06-01T00:00:00.000000000&#x27;, &#x27;2008-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2008-07-01T00:00:00.000000000&#x27;, &#x27;2008-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2008-08-01T00:00:00.000000000&#x27;, &#x27;2008-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2008-09-01T00:00:00.000000000&#x27;, &#x27;2008-10-01T00:00:00.000000000&#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-0ee2ef77-62db-47da-87e5-837db8319007' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ee2ef77-62db-47da-87e5-837db8319007' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b888bba0-eaa5-405d-86bf-f281eed0db4a' class='xr-var-data-in' type='checkbox'><label for='data-b888bba0-eaa5-405d-86bf-f281eed0db4a' 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([[[2.473121e-06, 1.388676e-06, ..., 1.073103e-04, 9.670053e-05],\n",
       "        [8.034100e-07, 1.326489e-06, ..., 8.231508e-05, 1.743803e-04],\n",
       "        ...,\n",
       "        [8.697483e-05, 6.729649e-05, ..., 3.325701e-04, 3.334720e-04],\n",
       "        [9.608885e-05, 2.134043e-04, ..., 3.617247e-04, 3.816615e-04]],\n",
       "\n",
       "       [[1.033787e-04, 8.899076e-05, ..., 7.838242e-05, 9.854847e-05],\n",
       "        [9.197208e-05, 8.755548e-05, ..., 8.373552e-05, 9.715091e-05],\n",
       "        ...,\n",
       "        [5.182930e-04, 7.768504e-04, ..., 4.870555e-04, 4.920472e-04],\n",
       "        [4.026389e-04, 1.028256e-03, ..., 3.708898e-04, 5.044922e-04]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[8.397458e-05, 8.832388e-05, ..., 6.020998e-05, 6.729061e-05],\n",
       "        [7.176970e-05, 8.741666e-05, ..., 6.172793e-05, 6.099520e-05],\n",
       "        ...,\n",
       "        [3.526865e-04, 4.742570e-04, ..., 1.648045e-04, 1.427495e-04],\n",
       "        [3.191222e-04, 4.853587e-04, ..., 1.634727e-04, 2.848183e-04]],\n",
       "\n",
       "       [[6.559212e-05, 6.635597e-05, ..., 1.360898e-04, 1.061438e-04],\n",
       "        [5.851080e-05, 6.194964e-05, ..., 1.018207e-04, 9.950839e-05],\n",
       "        ...,\n",
       "        [7.873495e-05, 4.916698e-05, ..., 1.089737e-04, 1.216676e-04],\n",
       "        [5.923492e-05, 1.012989e-04, ..., 1.799697e-04, 2.325332e-04]]],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-979e2df2-9a07-4af8-9083-9e01ba935f35' class='xr-section-summary-in' type='checkbox'  ><label for='section-979e2df2-9a07-4af8-9083-9e01ba935f35' 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>Wed Jul 20 11:06:26 2022: cdo remapnn,grid.des pr_was-22-ecmwf_197901-201711.nc pr_was-22-ecmwf_197901-201711_remap1.nc\n",
       "Wed Jul 13 17:38:34 2022: cdo mergetime pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_197901-198012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-201012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_201101-201711.nc pr_was-22-ecmwf_197901-201711.nc\n",
       "2018-02-13 16:42:58 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>International Centre for Theoretical Physics</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>EVALUATION</dd><dt><span>institute_id :</span></dt><dd>ICTP</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX India25 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>2019-09-12T15:13:03Z</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>none</dd><dt><span>contact :</span></dt><dd>esp@ictp.it</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>f1ed9934-3b9a-11e9-8719-0894ef50c218</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>EIN75</dd><dt><span>model_sst_data_source :</span></dt><dd>EIN75</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> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2016-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</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>240.0</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>evaluation</dd><dt><span>driving_experiment :</span></dt><dd>ECMWF-ERAINT, evaluation, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>ECMWF-ERAINT</dd><dt><span>driving_experiment_name :</span></dt><dd>evaluation</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: 44, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-06-16 ... 2008-09-16\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 ... 2008-10-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 11:06:26 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\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": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 44, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-06-16 ... 2008-09-16\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 ... 2008-10-01\n",
       "    pr         (time, lat, lon) float32 2.473e-06 1.389e-06 ... 0.0002325\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 11:06:26 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\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-4a9c15a6-ee83-4096-b96b-f7e3971e0d98' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4a9c15a6-ee83-4096-b96b-f7e3971e0d98' 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>: 44</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-27a1980a-4b4d-418d-9505-f168bc2489af' class='xr-section-summary-in' type='checkbox'  checked><label for='section-27a1980a-4b4d-418d-9505-f168bc2489af' 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 ... 2008-09-16</div><input id='attrs-cee9be93-eb23-4703-bf7b-aac96692dafd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cee9be93-eb23-4703-bf7b-aac96692dafd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c4568d2-becb-4818-8a64-051a2a7399ec' class='xr-var-data-in' type='checkbox'><label for='data-3c4568d2-becb-4818-8a64-051a2a7399ec' 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",
       "       &#x27;2006-06-16T00:00:00.000000000&#x27;, &#x27;2006-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-16T12:00:00.000000000&#x27;, &#x27;2006-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-16T00:00:00.000000000&#x27;, &#x27;2007-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-16T12:00:00.000000000&#x27;, &#x27;2007-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-16T00:00:00.000000000&#x27;, &#x27;2008-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-16T12:00:00.000000000&#x27;, &#x27;2008-09-16T00:00:00.000000000&#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-7866f442-c881-4d67-866c-22453c12dc6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7866f442-c881-4d67-866c-22453c12dc6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61e14a95-566d-4679-9673-26cbc6b8b81d' class='xr-var-data-in' type='checkbox'><label for='data-61e14a95-566d-4679-9673-26cbc6b8b81d' 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-f0c637c8-8e62-4acd-bf89-fd3b0d84990b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0c637c8-8e62-4acd-bf89-fd3b0d84990b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13e6effa-13af-4e31-9c51-ffd842de0715' class='xr-var-data-in' type='checkbox'><label for='data-13e6effa-13af-4e31-9c51-ffd842de0715' 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-275fcb67-97f0-4bf7-a534-9d3347cb311c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-275fcb67-97f0-4bf7-a534-9d3347cb311c' 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 ... 2008-10-01</div><input id='attrs-418bed27-7c5c-4e41-8c58-ad6abfc14f41' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-418bed27-7c5c-4e41-8c58-ad6abfc14f41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e855fd00-a86f-4c2c-a3c1-c1da21f9ecf4' class='xr-var-data-in' type='checkbox'><label for='data-e855fd00-a86f-4c2c-a3c1-c1da21f9ecf4' 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",
       "       [&#x27;2006-06-01T00:00:00.000000000&#x27;, &#x27;2006-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2006-07-01T00:00:00.000000000&#x27;, &#x27;2006-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2006-08-01T00:00:00.000000000&#x27;, &#x27;2006-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2006-09-01T00:00:00.000000000&#x27;, &#x27;2006-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2007-06-01T00:00:00.000000000&#x27;, &#x27;2007-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2007-07-01T00:00:00.000000000&#x27;, &#x27;2007-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2007-08-01T00:00:00.000000000&#x27;, &#x27;2007-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2007-09-01T00:00:00.000000000&#x27;, &#x27;2007-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2008-06-01T00:00:00.000000000&#x27;, &#x27;2008-07-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2008-07-01T00:00:00.000000000&#x27;, &#x27;2008-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2008-08-01T00:00:00.000000000&#x27;, &#x27;2008-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2008-09-01T00:00:00.000000000&#x27;, &#x27;2008-10-01T00:00:00.000000000&#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'>2.473e-06 1.389e-06 ... 0.0002325</div><input id='attrs-632e1042-09a3-4bef-a60f-d1e44363045e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-632e1042-09a3-4bef-a60f-d1e44363045e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04ae9d0c-9b95-4760-b331-43f5e0d52c08' class='xr-var-data-in' type='checkbox'><label for='data-04ae9d0c-9b95-4760-b331-43f5e0d52c08' 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([[[2.473121e-06, 1.388676e-06, ..., 1.073103e-04, 9.670053e-05],\n",
       "        [8.034100e-07, 1.326489e-06, ..., 8.231508e-05, 1.743803e-04],\n",
       "        ...,\n",
       "        [8.697483e-05, 6.729649e-05, ..., 3.325701e-04, 3.334720e-04],\n",
       "        [9.608885e-05, 2.134043e-04, ..., 3.617247e-04, 3.816615e-04]],\n",
       "\n",
       "       [[1.033787e-04, 8.899076e-05, ..., 7.838242e-05, 9.854847e-05],\n",
       "        [9.197208e-05, 8.755548e-05, ..., 8.373552e-05, 9.715091e-05],\n",
       "        ...,\n",
       "        [5.182930e-04, 7.768504e-04, ..., 4.870555e-04, 4.920472e-04],\n",
       "        [4.026389e-04, 1.028256e-03, ..., 3.708898e-04, 5.044922e-04]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[8.397458e-05, 8.832388e-05, ..., 6.020998e-05, 6.729061e-05],\n",
       "        [7.176970e-05, 8.741666e-05, ..., 6.172793e-05, 6.099520e-05],\n",
       "        ...,\n",
       "        [3.526865e-04, 4.742570e-04, ..., 1.648045e-04, 1.427495e-04],\n",
       "        [3.191222e-04, 4.853587e-04, ..., 1.634727e-04, 2.848183e-04]],\n",
       "\n",
       "       [[6.559212e-05, 6.635597e-05, ..., 1.360898e-04, 1.061438e-04],\n",
       "        [5.851080e-05, 6.194964e-05, ..., 1.018207e-04, 9.950839e-05],\n",
       "        ...,\n",
       "        [7.873495e-05, 4.916698e-05, ..., 1.089737e-04, 1.216676e-04],\n",
       "        [5.923492e-05, 1.012989e-04, ..., 1.799697e-04, 2.325332e-04]]],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2e41d056-2eca-4247-a73a-989fe5c6a5ad' class='xr-section-summary-in' type='checkbox'  ><label for='section-2e41d056-2eca-4247-a73a-989fe5c6a5ad' 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>Wed Jul 20 11:06:26 2022: cdo remapnn,grid.des pr_was-22-ecmwf_197901-201711.nc pr_was-22-ecmwf_197901-201711_remap1.nc\n",
       "Wed Jul 13 17:38:34 2022: cdo mergetime pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_197901-198012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-201012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_201101-201711.nc pr_was-22-ecmwf_197901-201711.nc\n",
       "2018-02-13 16:42:58 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>International Centre for Theoretical Physics</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>EVALUATION</dd><dt><span>institute_id :</span></dt><dd>ICTP</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX India25 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>2019-09-12T15:13:03Z</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>none</dd><dt><span>contact :</span></dt><dd>esp@ictp.it</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>f1ed9934-3b9a-11e9-8719-0894ef50c218</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>EIN75</dd><dt><span>model_sst_data_source :</span></dt><dd>EIN75</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> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2016-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</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>240.0</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>evaluation</dd><dt><span>driving_experiment :</span></dt><dd>ECMWF-ERAINT, evaluation, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>ECMWF-ERAINT</dd><dt><span>driving_experiment_name :</span></dt><dd>evaluation</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: 44, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-06-16 ... 2008-09-16\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 ... 2008-10-01\n",
       "    pr         (time, lat, lon) float32 2.473e-06 1.389e-06 ... 0.0002325\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jul 20 11:06:26 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 15,
     "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": 16,
   "id": "18269e45",
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "\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([[8.3943880e-05, 8.7744149e-05, 9.3225484e-05, ..., 1.2796697e-04,\n",
       "        1.4068840e-04, 1.6216662e-04],\n",
       "       [7.4797783e-05, 8.0296508e-05, 8.4241387e-05, ..., 1.2623997e-04,\n",
       "        1.4023525e-04, 1.6249734e-04],\n",
       "       [7.0649810e-05, 7.5079741e-05, 7.8567093e-05, ..., 1.2485862e-04,\n",
       "        1.5104176e-04, 1.7642413e-04],\n",
       "       ...,\n",
       "       [2.2228371e-04, 2.7125908e-04, 3.3712029e-04, ..., 2.3873971e-04,\n",
       "        2.4720319e-04, 1.8301174e-04],\n",
       "       [2.1937159e-04, 2.5065133e-04, 3.6994263e-04, ..., 1.8755627e-04,\n",
       "        2.7520474e-04, 2.6628363e-04],\n",
       "       [1.8636184e-04, 3.5878306e-04, 9.0119900e-04, ..., 1.6715979e-04,\n",
       "        2.6666772e-04, 3.3737600e-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-b678f1a7-a51f-4354-8f1a-890b67fe735f' class='xr-array-in' type='checkbox' checked><label for='section-b678f1a7-a51f-4354-8f1a-890b67fe735f' 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>8.394e-05 8.774e-05 9.323e-05 ... 0.0001672 0.0002667 0.0003374</span></div><div class='xr-array-data'><pre>array([[8.3943880e-05, 8.7744149e-05, 9.3225484e-05, ..., 1.2796697e-04,\n",
       "        1.4068840e-04, 1.6216662e-04],\n",
       "       [7.4797783e-05, 8.0296508e-05, 8.4241387e-05, ..., 1.2623997e-04,\n",
       "        1.4023525e-04, 1.6249734e-04],\n",
       "       [7.0649810e-05, 7.5079741e-05, 7.8567093e-05, ..., 1.2485862e-04,\n",
       "        1.5104176e-04, 1.7642413e-04],\n",
       "       ...,\n",
       "       [2.2228371e-04, 2.7125908e-04, 3.3712029e-04, ..., 2.3873971e-04,\n",
       "        2.4720319e-04, 1.8301174e-04],\n",
       "       [2.1937159e-04, 2.5065133e-04, 3.6994263e-04, ..., 1.8755627e-04,\n",
       "        2.7520474e-04, 2.6628363e-04],\n",
       "       [1.8636184e-04, 3.5878306e-04, 9.0119900e-04, ..., 1.6715979e-04,\n",
       "        2.6666772e-04, 3.3737600e-04]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-8fca480c-a973-48be-9625-c182a1a4bad3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8fca480c-a973-48be-9625-c182a1a4bad3' 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-e2361667-5d82-4931-b084-d25dbf1bc03e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2361667-5d82-4931-b084-d25dbf1bc03e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e66f2f10-ce0c-4d16-be99-104e6ec73dde' class='xr-var-data-in' type='checkbox'><label for='data-e66f2f10-ce0c-4d16-be99-104e6ec73dde' 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-5f7426cf-7580-478e-9f4c-c22d55ad6c09' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f7426cf-7580-478e-9f4c-c22d55ad6c09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8699835f-a27e-41c0-ae66-5f7864950ef3' class='xr-var-data-in' type='checkbox'><label for='data-8699835f-a27e-41c0-ae66-5f7864950ef3' 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-02fa8318-9ad0-432d-a83a-9e97385235bb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-02fa8318-9ad0-432d-a83a-9e97385235bb' 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([[8.3943880e-05, 8.7744149e-05, 9.3225484e-05, ..., 1.2796697e-04,\n",
       "        1.4068840e-04, 1.6216662e-04],\n",
       "       [7.4797783e-05, 8.0296508e-05, 8.4241387e-05, ..., 1.2623997e-04,\n",
       "        1.4023525e-04, 1.6249734e-04],\n",
       "       [7.0649810e-05, 7.5079741e-05, 7.8567093e-05, ..., 1.2485862e-04,\n",
       "        1.5104176e-04, 1.7642413e-04],\n",
       "       ...,\n",
       "       [2.2228371e-04, 2.7125908e-04, 3.3712029e-04, ..., 2.3873971e-04,\n",
       "        2.4720319e-04, 1.8301174e-04],\n",
       "       [2.1937159e-04, 2.5065133e-04, 3.6994263e-04, ..., 1.8755627e-04,\n",
       "        2.7520474e-04, 2.6628363e-04],\n",
       "       [1.8636184e-04, 3.5878306e-04, 9.0119900e-04, ..., 1.6715979e-04,\n",
       "        2.6666772e-04, 3.3737600e-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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       "\n",
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       "\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
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       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\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-width: 0;\n",
       "  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([[ 7.25275122,  7.58109447,  8.05468184, ..., 11.05634593,\n",
       "        12.15547747, 14.01119563],\n",
       "       [ 6.46252844,  6.93761827,  7.27845579, ..., 10.90713381,\n",
       "        12.1163256 , 14.03976995],\n",
       "       [ 6.10414362,  6.4868896 ,  6.78819681, ..., 10.78778473,\n",
       "        13.05000843, 15.24304496],\n",
       "       ...,\n",
       "       [19.20531224, 23.43678446, 29.12719315, ..., 20.62711101,\n",
       "        21.35835579, 15.81221432],\n",
       "       [18.95370553, 21.65627461, 31.96304329, ..., 16.20486206,\n",
       "        23.77768988, 23.00690599],\n",
       "       [16.10166281, 30.9988562 , 77.86359396, ..., 14.44260548,\n",
       "        23.04009078, 29.14928617]])\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-d8e72dad-f1a5-4655-b375-169770fe7490' class='xr-array-in' type='checkbox' checked><label for='section-d8e72dad-f1a5-4655-b375-169770fe7490' 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>7.253 7.581 8.055 8.267 8.448 8.74 ... 28.19 18.5 14.44 23.04 29.15</span></div><div class='xr-array-data'><pre>array([[ 7.25275122,  7.58109447,  8.05468184, ..., 11.05634593,\n",
       "        12.15547747, 14.01119563],\n",
       "       [ 6.46252844,  6.93761827,  7.27845579, ..., 10.90713381,\n",
       "        12.1163256 , 14.03976995],\n",
       "       [ 6.10414362,  6.4868896 ,  6.78819681, ..., 10.78778473,\n",
       "        13.05000843, 15.24304496],\n",
       "       ...,\n",
       "       [19.20531224, 23.43678446, 29.12719315, ..., 20.62711101,\n",
       "        21.35835579, 15.81221432],\n",
       "       [18.95370553, 21.65627461, 31.96304329, ..., 16.20486206,\n",
       "        23.77768988, 23.00690599],\n",
       "       [16.10166281, 30.9988562 , 77.86359396, ..., 14.44260548,\n",
       "        23.04009078, 29.14928617]])</pre></div></div></li><li class='xr-section-item'><input id='section-f86a2794-54c4-440d-9727-92deff03c984' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f86a2794-54c4-440d-9727-92deff03c984' 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-c27f6f4d-f94e-4b8e-b624-137784884050' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c27f6f4d-f94e-4b8e-b624-137784884050' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f630bcae-d33b-4797-84c0-7360fbae8ff6' class='xr-var-data-in' type='checkbox'><label for='data-f630bcae-d33b-4797-84c0-7360fbae8ff6' 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-b22c0f17-b9d5-469f-8496-607ffbfc5e30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b22c0f17-b9d5-469f-8496-607ffbfc5e30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02307e5e-7a9a-4762-a229-a65fe331f723' class='xr-var-data-in' type='checkbox'><label for='data-02307e5e-7a9a-4762-a229-a65fe331f723' 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-626b7907-73f6-4284-aba9-ae2efe75525f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-626b7907-73f6-4284-aba9-ae2efe75525f' 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([[ 7.25275122,  7.58109447,  8.05468184, ..., 11.05634593,\n",
       "        12.15547747, 14.01119563],\n",
       "       [ 6.46252844,  6.93761827,  7.27845579, ..., 10.90713381,\n",
       "        12.1163256 , 14.03976995],\n",
       "       [ 6.10414362,  6.4868896 ,  6.78819681, ..., 10.78778473,\n",
       "        13.05000843, 15.24304496],\n",
       "       ...,\n",
       "       [19.20531224, 23.43678446, 29.12719315, ..., 20.62711101,\n",
       "        21.35835579, 15.81221432],\n",
       "       [18.95370553, 21.65627461, 31.96304329, ..., 16.20486206,\n",
       "        23.77768988, 23.00690599],\n",
       "       [16.10166281, 30.9988562 , 77.86359396, ..., 14.44260548,\n",
       "        23.04009078, 29.14928617]])\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": [
    "eraint = jjas_mean*86400\n",
    "eraint"
   ]
  },
  {
   "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",
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       "  display: inline;\n",
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       "\n",
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       "\n",
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       "  display: none;\n",
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       "  margin-bottom: 5px;\n",
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       "\n",
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       "\n",
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       "  display: grid;\n",
       "  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",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
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       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
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       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
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       "\n",
       ".xr-dim-list:before {\n",
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       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
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       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
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       "\n",
       ".xr-has-index {\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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       ".xr-var-dtype:hover,\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",
       "}\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([[ -2.62802389,  -2.40943117,  -2.14503909, ..., -10.6287489 ,\n",
       "         -8.48928983,  -1.08588967],\n",
       "       [ -3.16142696,  -2.97846198,  -2.82469859, ...,  -8.7017097 ,\n",
       "         -8.11623115,  -1.83142167],\n",
       "       [ -3.72977523,  -3.70596631,  -3.60426334, ...,  -7.18708374,\n",
       "         -1.76653909,   0.36057532],\n",
       "       ...,\n",
       "       [ 11.87789914,  16.52079555,  22.50525317, ...,  12.98345978,\n",
       "         13.33202964,   6.51071321],\n",
       "       [ 11.31944431,  14.70295554,  25.87363937, ...,   9.01235017,\n",
       "         16.42011848,  15.11655766],\n",
       "       [  9.28017515,  25.03665474,  73.0063276 , ...,   7.12423157,\n",
       "         15.26870544,  21.56540477]])\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-e4ac88e6-805a-476f-8bdf-7d92cc7abf31' class='xr-array-in' type='checkbox' checked><label for='section-e4ac88e6-805a-476f-8bdf-7d92cc7abf31' 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>-2.628 -2.409 -2.145 -2.201 -2.289 ... 22.31 11.73 7.124 15.27 21.57</span></div><div class='xr-array-data'><pre>array([[ -2.62802389,  -2.40943117,  -2.14503909, ..., -10.6287489 ,\n",
       "         -8.48928983,  -1.08588967],\n",
       "       [ -3.16142696,  -2.97846198,  -2.82469859, ...,  -8.7017097 ,\n",
       "         -8.11623115,  -1.83142167],\n",
       "       [ -3.72977523,  -3.70596631,  -3.60426334, ...,  -7.18708374,\n",
       "         -1.76653909,   0.36057532],\n",
       "       ...,\n",
       "       [ 11.87789914,  16.52079555,  22.50525317, ...,  12.98345978,\n",
       "         13.33202964,   6.51071321],\n",
       "       [ 11.31944431,  14.70295554,  25.87363937, ...,   9.01235017,\n",
       "         16.42011848,  15.11655766],\n",
       "       [  9.28017515,  25.03665474,  73.0063276 , ...,   7.12423157,\n",
       "         15.26870544,  21.56540477]])</pre></div></div></li><li class='xr-section-item'><input id='section-225a403b-3f03-4c96-be62-0f80b44c74c6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-225a403b-3f03-4c96-be62-0f80b44c74c6' 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-fea496a8-c9e0-4923-91e3-9a8c82aa2e75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fea496a8-c9e0-4923-91e3-9a8c82aa2e75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85865c96-b552-4ba9-a5c1-932d8c7a818e' class='xr-var-data-in' type='checkbox'><label for='data-85865c96-b552-4ba9-a5c1-932d8c7a818e' 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-a8490946-9937-4de8-815e-e80245172394' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a8490946-9937-4de8-815e-e80245172394' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebc74cad-0312-4ec8-8d83-6025cabf3bb6' class='xr-var-data-in' type='checkbox'><label for='data-ebc74cad-0312-4ec8-8d83-6025cabf3bb6' 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-c60bb52f-1dcc-46be-af99-a30f5d2c66f4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c60bb52f-1dcc-46be-af99-a30f5d2c66f4' 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([[ -2.62802389,  -2.40943117,  -2.14503909, ..., -10.6287489 ,\n",
       "         -8.48928983,  -1.08588967],\n",
       "       [ -3.16142696,  -2.97846198,  -2.82469859, ...,  -8.7017097 ,\n",
       "         -8.11623115,  -1.83142167],\n",
       "       [ -3.72977523,  -3.70596631,  -3.60426334, ...,  -7.18708374,\n",
       "         -1.76653909,   0.36057532],\n",
       "       ...,\n",
       "       [ 11.87789914,  16.52079555,  22.50525317, ...,  12.98345978,\n",
       "         13.33202964,   6.51071321],\n",
       "       [ 11.31944431,  14.70295554,  25.87363937, ...,   9.01235017,\n",
       "         16.42011848,  15.11655766],\n",
       "       [  9.28017515,  25.03665474,  73.0063276 , ...,   7.12423157,\n",
       "         15.26870544,  21.56540477]])\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 = eraint - 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([[ -26.59734549,  -24.11716121,  -21.03037038, ...,  -49.01407617,\n",
       "         -41.12078235,   -7.19271073],\n",
       "       [ -32.84955954,  -30.03668693,  -27.95858087, ...,  -44.37645542,\n",
       "         -40.11470844,  -11.5392827 ],\n",
       "       [ -37.92765925,  -36.35846851,  -34.68152184, ...,  -39.9840686 ,\n",
       "         -11.92274442,    2.4228191 ],\n",
       "       ...,\n",
       "       [ 162.1022176 ,  238.87828285,  339.85891181, ...,  169.85939571,\n",
       "         166.10376158,   69.99637075],\n",
       "       [ 148.27164002,  211.4523352 ,  424.89609347, ...,  125.30184584,\n",
       "         223.17307701,  191.582894  ],\n",
       "       [ 136.04327392,  419.92299195, 1503.03323495, ...,   97.34719287,\n",
       "         196.47340564,  284.35841263]])\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-4d73db5e-763f-445c-a59d-021217eca5e6' class='xr-array-in' type='checkbox' checked><label for='section-4d73db5e-763f-445c-a59d-021217eca5e6' 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>-26.6 -24.12 -21.03 -21.02 -21.32 ... 379.7 173.4 97.35 196.5 284.4</span></div><div class='xr-array-data'><pre>array([[ -26.59734549,  -24.11716121,  -21.03037038, ...,  -49.01407617,\n",
       "         -41.12078235,   -7.19271073],\n",
       "       [ -32.84955954,  -30.03668693,  -27.95858087, ...,  -44.37645542,\n",
       "         -40.11470844,  -11.5392827 ],\n",
       "       [ -37.92765925,  -36.35846851,  -34.68152184, ...,  -39.9840686 ,\n",
       "         -11.92274442,    2.4228191 ],\n",
       "       ...,\n",
       "       [ 162.1022176 ,  238.87828285,  339.85891181, ...,  169.85939571,\n",
       "         166.10376158,   69.99637075],\n",
       "       [ 148.27164002,  211.4523352 ,  424.89609347, ...,  125.30184584,\n",
       "         223.17307701,  191.582894  ],\n",
       "       [ 136.04327392,  419.92299195, 1503.03323495, ...,   97.34719287,\n",
       "         196.47340564,  284.35841263]])</pre></div></div></li><li class='xr-section-item'><input id='section-31a9ac78-3ec2-4323-8ec1-e6331625cd75' class='xr-section-summary-in' type='checkbox'  checked><label for='section-31a9ac78-3ec2-4323-8ec1-e6331625cd75' 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-e1fae61f-c13d-4692-b559-326048cc3092' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1fae61f-c13d-4692-b559-326048cc3092' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5211d566-ea35-431f-9eb3-1453504ae8e4' class='xr-var-data-in' type='checkbox'><label for='data-5211d566-ea35-431f-9eb3-1453504ae8e4' 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-8c85922c-d70d-4410-baba-3cd53a5abd92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c85922c-d70d-4410-baba-3cd53a5abd92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c7cecf6-aad5-491d-948e-c7f186257447' class='xr-var-data-in' type='checkbox'><label for='data-6c7cecf6-aad5-491d-948e-c7f186257447' 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-90d60053-7267-4728-b7e8-ef49217d677b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-90d60053-7267-4728-b7e8-ef49217d677b' 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([[ -26.59734549,  -24.11716121,  -21.03037038, ...,  -49.01407617,\n",
       "         -41.12078235,   -7.19271073],\n",
       "       [ -32.84955954,  -30.03668693,  -27.95858087, ...,  -44.37645542,\n",
       "         -40.11470844,  -11.5392827 ],\n",
       "       [ -37.92765925,  -36.35846851,  -34.68152184, ...,  -39.9840686 ,\n",
       "         -11.92274442,    2.4228191 ],\n",
       "       ...,\n",
       "       [ 162.1022176 ,  238.87828285,  339.85891181, ...,  169.85939571,\n",
       "         166.10376158,   69.99637075],\n",
       "       [ 148.27164002,  211.4523352 ,  424.89609347, ...,  125.30184584,\n",
       "         223.17307701,  191.582894  ],\n",
       "       [ 136.04327392,  419.92299195, 1503.03323495, ...,   97.34719287,\n",
       "         196.47340564,  284.35841263]])\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 = ((eraint - trmm)/trmm)*100\n",
    "bias_percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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",
    "\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",
    "plt.rcParams['font.size'] = '16'\n",
    "\n",
    "plt.title('Seasonal Bias(RegCM EraInt-TRMM)',fontsize=17)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias(eraint-trmm).png\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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",
    "#levels=(-150,-100,-75,-50,-25,-10,-5,0,5,10,25,50,75,100,150)\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",
    "plt.title('Seasonal Bias-Percentage(RegCM EraInt-TRMM)',fontsize=17)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias_percentage(eraint-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",
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