Seasonal Bias remo(Noresm-trmm).ipynb

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    "#writing some conda package or module\n",
    "#!pip install netCDF4\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "from netCDF4 import Dataset\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "#!pip install cartopy\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.mpl.ticker as cticker\n",
    "from cartopy.util import add_cyclic_point"
   ]
  },
  {
   "cell_type": "code",
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       "    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-ac687365-6369-4afe-ba8a-260de4d832f5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ac687365-6369-4afe-ba8a-260de4d832f5' 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-7d21d785-3bac-41c8-9b42-94006ba71643' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7d21d785-3bac-41c8-9b42-94006ba71643' 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-d3c1b846-b2dd-45d0-9f7e-5c633cfdde3b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d3c1b846-b2dd-45d0-9f7e-5c633cfdde3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3bca56c-bbdf-4b31-9444-563387442dd6' class='xr-var-data-in' type='checkbox'><label for='data-a3bca56c-bbdf-4b31-9444-563387442dd6' 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;2002-07-01T00:00:00.000000000&#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-e410bfc6-dfbf-474a-9ca3-88a8453cba17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e410bfc6-dfbf-474a-9ca3-88a8453cba17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44a930ec-071d-4ad6-8dd8-be1579e244db' class='xr-var-data-in' type='checkbox'><label for='data-44a930ec-071d-4ad6-8dd8-be1579e244db' 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-a970ec79-4bb5-4699-9fd5-cc39b0db205d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a970ec79-4bb5-4699-9fd5-cc39b0db205d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ecd66a5-3c58-4973-aff1-405332466f9c' class='xr-var-data-in' type='checkbox'><label for='data-9ecd66a5-3c58-4973-aff1-405332466f9c' 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-c7efbe90-bafc-47f1-9f6e-de8cffaab292' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c7efbe90-bafc-47f1-9f6e-de8cffaab292' 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-9fefd68f-5587-417e-86be-9b34b4aa1548' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fefd68f-5587-417e-86be-9b34b4aa1548' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1bd7b2d-2506-4a57-bd80-bd48bcb17019' class='xr-var-data-in' type='checkbox'><label for='data-f1bd7b2d-2506-4a57-bd80-bd48bcb17019' 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-5f54f9ba-18d8-4af3-84e5-d5af934020cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f54f9ba-18d8-4af3-84e5-d5af934020cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81fbeb4f-6379-4c31-abb7-2472e20d2b87' class='xr-var-data-in' type='checkbox'><label for='data-81fbeb4f-6379-4c31-abb7-2472e20d2b87' 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-45968d31-1c5c-4e46-99ed-fd0e341a2cd3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45968d31-1c5c-4e46-99ed-fd0e341a2cd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e900b332-0151-4c74-b23c-4eec9b4d8909' class='xr-var-data-in' type='checkbox'><label for='data-e900b332-0151-4c74-b23c-4eec9b4d8909' 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-8fc0d209-c280-4d8e-8881-06013f732f87' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8fc0d209-c280-4d8e-8881-06013f732f87' 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": [
    {
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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.Dataset&gt;\n",
       "Dimensions:  (time: 95, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-02-01 1998-03-01 ... 2005-12-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980201 19980301 19980401 ... 20051101 20051201\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-caee96e0-9677-4005-b0de-3e6858240e69' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-caee96e0-9677-4005-b0de-3e6858240e69' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 95</li><li><span class='xr-has-index'>lat</span>: 400</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-344ff9d5-07c5-4900-a079-84b1db90f075' class='xr-section-summary-in' type='checkbox'  checked><label for='section-344ff9d5-07c5-4900-a079-84b1db90f075' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-02-01 ... 2005-12-01</div><input id='attrs-bb41976d-0a0e-478f-b726-a5e6559037a1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bb41976d-0a0e-478f-b726-a5e6559037a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ef0bae1-0cc6-4add-9c9c-404def204107' class='xr-var-data-in' type='checkbox'><label for='data-0ef0bae1-0cc6-4add-9c9c-404def204107' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-02-01T00:00:00.000000000&#x27;, &#x27;1998-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-04-01T00:00:00.000000000&#x27;, &#x27;1998-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-10-01T00:00:00.000000000&#x27;, &#x27;1998-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-12-01T00:00:00.000000000&#x27;, &#x27;1999-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-02-01T00:00:00.000000000&#x27;, &#x27;1999-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-04-01T00:00:00.000000000&#x27;, &#x27;1999-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-10-01T00:00:00.000000000&#x27;, &#x27;1999-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-12-01T00:00:00.000000000&#x27;, &#x27;2000-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-02-01T00:00:00.000000000&#x27;, &#x27;2000-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-04-01T00:00:00.000000000&#x27;, &#x27;2000-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-10-01T00:00:00.000000000&#x27;, &#x27;2000-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-01T00:00:00.000000000&#x27;, &#x27;2001-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-02-01T00:00:00.000000000&#x27;, &#x27;2001-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-04-01T00:00:00.000000000&#x27;, &#x27;2001-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-10-01T00:00:00.000000000&#x27;, &#x27;2001-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-12-01T00:00:00.000000000&#x27;, &#x27;2002-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-02-01T00:00:00.000000000&#x27;, &#x27;2002-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-04-01T00:00:00.000000000&#x27;, &#x27;2002-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-10-01T00:00:00.000000000&#x27;, &#x27;2002-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-12-01T00:00:00.000000000&#x27;, &#x27;2003-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-02-01T00:00:00.000000000&#x27;, &#x27;2003-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-04-01T00:00:00.000000000&#x27;, &#x27;2003-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-10-01T00:00:00.000000000&#x27;, &#x27;2003-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-12-01T00:00:00.000000000&#x27;, &#x27;2004-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-02-01T00:00:00.000000000&#x27;, &#x27;2004-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-04-01T00:00:00.000000000&#x27;, &#x27;2004-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-10-01T00:00:00.000000000&#x27;, &#x27;2004-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-12-01T00:00:00.000000000&#x27;, &#x27;2005-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-02-01T00:00:00.000000000&#x27;, &#x27;2005-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-04-01T00:00:00.000000000&#x27;, &#x27;2005-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-10-01T00:00:00.000000000&#x27;, &#x27;2005-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-12-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.88 -49.62 ... 49.62 49.88</div><input id='attrs-008f81bf-bfd5-4a74-8f11-60785ddf654c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-008f81bf-bfd5-4a74-8f11-60785ddf654c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41047d1e-9e33-4dc4-b29d-1997f8f8a7bf' class='xr-var-data-in' type='checkbox'><label for='data-41047d1e-9e33-4dc4-b29d-1997f8f8a7bf' 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-b563ea10-1232-4258-a89e-1d8b70fd0884' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b563ea10-1232-4258-a89e-1d8b70fd0884' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f960d7ee-8242-4b04-a950-67ee411ab5a8' class='xr-var-data-in' type='checkbox'><label for='data-f960d7ee-8242-4b04-a950-67ee411ab5a8' 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-8feb276a-9619-463f-8207-772f7722ed01' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8feb276a-9619-463f-8207-772f7722ed01' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>19980201 19980301 ... 20051201</div><input id='attrs-a80f3093-ab1d-4620-9be3-e9dee65ea601' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a80f3093-ab1d-4620-9be3-e9dee65ea601' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a19ff88-3503-4109-bb4d-f4fa0431cee8' class='xr-var-data-in' type='checkbox'><label for='data-7a19ff88-3503-4109-bb4d-f4fa0431cee8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980201, 19980301, 19980401, 19980501, 19980601, 19980701, 19980801,\n",
       "       19980901, 19981001, 19981101, 19981201, 19990101, 19990201, 19990301,\n",
       "       19990401, 19990501, 19990601, 19990701, 19990801, 19990901, 19991001,\n",
       "       19991101, 19991201, 20000101, 20000201, 20000301, 20000401, 20000501,\n",
       "       20000601, 20000701, 20000801, 20000901, 20001001, 20001101, 20001201,\n",
       "       20010101, 20010201, 20010301, 20010401, 20010501, 20010601, 20010701,\n",
       "       20010801, 20010901, 20011001, 20011101, 20011201, 20020101, 20020201,\n",
       "       20020301, 20020401, 20020501, 20020601, 20020701, 20020801, 20020901,\n",
       "       20021001, 20021101, 20021201, 20030101, 20030201, 20030301, 20030401,\n",
       "       20030501, 20030601, 20030701, 20030801, 20030901, 20031001, 20031101,\n",
       "       20031201, 20040101, 20040201, 20040301, 20040401, 20040501, 20040601,\n",
       "       20040701, 20040801, 20040901, 20041001, 20041101, 20041201, 20050101,\n",
       "       20050201, 20050301, 20050401, 20050501, 20050601, 20050701, 20050801,\n",
       "       20050901, 20051001, 20051101, 20051201], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 1 days ... 1 days 1 days</div><input id='attrs-ce1af2ab-50d1-4e72-bad2-d47f4bb75dc6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce1af2ab-50d1-4e72-bad2-d47f4bb75dc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69c0d5dd-a9ac-4e64-97c4-cac6886c1c38' class='xr-var-data-in' type='checkbox'><label for='data-69c0d5dd-a9ac-4e64-97c4-cac6886c1c38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2f4da577-3364-40ce-8193-763b79ad8c65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f4da577-3364-40ce-8193-763b79ad8c65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09ef7c20-4351-404b-ae35-91e4997c3866' class='xr-var-data-in' type='checkbox'><label for='data-09ef7c20-4351-404b-ae35-91e4997c3866' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>[54720000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a5bb1c3a-7bbd-458c-b4a4-b1e2e0280feb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a5bb1c3a-7bbd-458c-b4a4-b1e2e0280feb' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 95, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-02-01 1998-03-01 ... 2005-12-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980201 19980301 19980401 ... 20051101 20051201\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1998-01-16T12:00:00.000000000','2005-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "10070b93",
   "metadata": {},
   "outputs": [
    {
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       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 32, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2005-09-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20050801 20050901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1c11c917-a111-45cd-89e7-2bcbd1dda298' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1c11c917-a111-45cd-89e7-2bcbd1dda298' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 32</li><li><span class='xr-has-index'>lat</span>: 400</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e9cb9943-d465-4d80-90cc-feb2986ec46b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e9cb9943-d465-4d80-90cc-feb2986ec46b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-06-01 ... 2005-09-01</div><input id='attrs-ff244c89-c7df-485f-b616-74c6310bf80c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ff244c89-c7df-485f-b616-74c6310bf80c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e588ca76-dba0-41e1-aeae-6e2506d21ca3' class='xr-var-data-in' type='checkbox'><label for='data-e588ca76-dba0-41e1-aeae-6e2506d21ca3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.88 -49.62 ... 49.62 49.88</div><input id='attrs-7dd1af1b-8b59-4d25-bb40-d010856c354d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7dd1af1b-8b59-4d25-bb40-d010856c354d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fd0f848-a893-468a-956c-da7182c44af3' class='xr-var-data-in' type='checkbox'><label for='data-3fd0f848-a893-468a-956c-da7182c44af3' 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-777caca6-0cce-426f-8b5d-5691902bf185' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-777caca6-0cce-426f-8b5d-5691902bf185' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02f3d9c7-b72b-42e2-8967-7fa3914a9b30' class='xr-var-data-in' type='checkbox'><label for='data-02f3d9c7-b72b-42e2-8967-7fa3914a9b30' 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-f9e9f112-46b2-4a3c-a268-1730ed38824e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f9e9f112-46b2-4a3c-a268-1730ed38824e' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>19980601 19980701 ... 20050901</div><input id='attrs-4ca2f21a-ebbd-4774-8f1b-5f7716f500a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ca2f21a-ebbd-4774-8f1b-5f7716f500a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bab90fd-a697-47e4-945d-1a0e286e2c63' class='xr-var-data-in' type='checkbox'><label for='data-9bab90fd-a697-47e4-945d-1a0e286e2c63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980601, 19980701, 19980801, 19980901, 19990601, 19990701, 19990801,\n",
       "       19990901, 20000601, 20000701, 20000801, 20000901, 20010601, 20010701,\n",
       "       20010801, 20010901, 20020601, 20020701, 20020801, 20020901, 20030601,\n",
       "       20030701, 20030801, 20030901, 20040601, 20040701, 20040801, 20040901,\n",
       "       20050601, 20050701, 20050801, 20050901], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 1 days ... 1 days 1 days</div><input id='attrs-db3788d9-3d79-4723-a699-dc2480d0c306' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db3788d9-3d79-4723-a699-dc2480d0c306' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-886cd02f-2f38-4409-9a89-f4371c6a6c99' class='xr-var-data-in' type='checkbox'><label for='data-886cd02f-2f38-4409-9a89-f4371c6a6c99' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000],\n",
       "      dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0a6b434b-a007-4f61-9732-bb6cb2f06c80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a6b434b-a007-4f61-9732-bb6cb2f06c80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b468bf93-8b5f-4c8b-b291-c9e019eb39b0' class='xr-var-data-in' type='checkbox'><label for='data-b468bf93-8b5f-4c8b-b291-c9e019eb39b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>[18432000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3f47f6ed-af1b-485d-80c7-4c71f0e8964b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3f47f6ed-af1b-485d-80c7-4c71f0e8964b' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 32, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2005-09-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20050801 20050901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting only JJAS months\n",
    "\n",
    "def is_jjas(month):\n",
    "    return (month >= 6) & (month <= 9)\n",
    "\n",
    "jjas_data = data.sel(time=is_jjas(data['time.month']))\n",
    "\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "735515f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.latitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fd310367",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.longitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2a9644bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<defs>\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 32, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2005-09-01\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20050801 20050901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 0.4308 0.3221 0.2765 ... 0.1774 0.1441\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a96cfc0e-b6d1-44c9-836b-d9f5311158c5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a96cfc0e-b6d1-44c9-836b-d9f5311158c5' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1e27a7de-e862-4497-8472-8d977cc72a0c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1e27a7de-e862-4497-8472-8d977cc72a0c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-06-01 ... 2005-09-01</div><input id='attrs-b0acddc6-4a25-485f-afa8-7dfb251323cc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b0acddc6-4a25-485f-afa8-7dfb251323cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b600a51-27dd-4328-be56-babd4d7c5de7' class='xr-var-data-in' type='checkbox'><label for='data-3b600a51-27dd-4328-be56-babd4d7c5de7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-25ce0ab4-1bfd-45d0-9eac-171275772ee4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25ce0ab4-1bfd-45d0-9eac-171275772ee4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-440337bf-0996-4071-8dea-8aac308df3f5' class='xr-var-data-in' type='checkbox'><label for='data-440337bf-0996-4071-8dea-8aac308df3f5' 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-87f64e7a-e870-4daf-adb1-cc1a9e1093cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87f64e7a-e870-4daf-adb1-cc1a9e1093cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83e39493-be04-47bd-a238-eebf52c77a80' class='xr-var-data-in' type='checkbox'><label for='data-83e39493-be04-47bd-a238-eebf52c77a80' 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-8792260b-ac4a-4f6b-80d6-ae7222010cb8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8792260b-ac4a-4f6b-80d6-ae7222010cb8' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>19980601 19980701 ... 20050901</div><input id='attrs-2fa24a23-52da-401c-b992-07e15a26c66a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2fa24a23-52da-401c-b992-07e15a26c66a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98e0a2f3-fd3b-463e-8ccb-80e1858a1f75' class='xr-var-data-in' type='checkbox'><label for='data-98e0a2f3-fd3b-463e-8ccb-80e1858a1f75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980601, 19980701, 19980801, 19980901, 19990601, 19990701, 19990801,\n",
       "       19990901, 20000601, 20000701, 20000801, 20000901, 20010601, 20010701,\n",
       "       20010801, 20010901, 20020601, 20020701, 20020801, 20020901, 20030601,\n",
       "       20030701, 20030801, 20030901, 20040601, 20040701, 20040801, 20040901,\n",
       "       20050601, 20050701, 20050801, 20050901], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 1 days ... 1 days 1 days</div><input id='attrs-632f07a1-06f5-44b8-b09c-039ac5aa26e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-632f07a1-06f5-44b8-b09c-039ac5aa26e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cff40e5-3901-4afd-b24a-90af99fd8c33' class='xr-var-data-in' type='checkbox'><label for='data-6cff40e5-3901-4afd-b24a-90af99fd8c33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000],\n",
       "      dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-390bfd38-942c-4c8d-83e3-497d0b514a74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-390bfd38-942c-4c8d-83e3-497d0b514a74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0619d8f4-668d-4588-ad6e-846b8bfadc75' class='xr-var-data-in' type='checkbox'><label for='data-0619d8f4-668d-4588-ad6e-846b8bfadc75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>array([[[0.430781, 0.322124, ..., 0.690971, 0.511044],\n",
       "        [0.346458, 0.285885, ..., 0.714057, 0.530204],\n",
       "        ...,\n",
       "        [0.210538, 0.242568, ..., 0.347411, 0.416681],\n",
       "        [0.231942, 0.248441, ..., 0.34638 , 0.382962]],\n",
       "\n",
       "       [[0.370449, 0.34102 , ..., 0.74982 , 1.003079],\n",
       "        [0.40649 , 0.328449, ..., 0.751424, 0.942093],\n",
       "        ...,\n",
       "        [0.206243, 0.196804, ..., 0.361962, 0.420819],\n",
       "        [0.202383, 0.187006, ..., 0.371911, 0.389453]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[0.248589, 0.281734, ..., 0.62056 , 0.201447],\n",
       "        [0.287298, 0.351694, ..., 0.594927, 0.229043],\n",
       "        ...,\n",
       "        [0.499972, 0.483239, ..., 0.337055, 0.352355],\n",
       "        [0.421131, 0.390675, ..., 0.31433 , 0.312789]],\n",
       "\n",
       "       [[0.905021, 0.772218, ..., 0.321426, 0.106503],\n",
       "        [0.790125, 0.811464, ..., 0.312985, 0.139072],\n",
       "        ...,\n",
       "        [0.144173, 0.128717, ..., 0.154787, 0.14331 ],\n",
       "        [0.084575, 0.081424, ..., 0.177377, 0.144111]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-75c60f15-bbd4-48c3-8a04-76a4ae5214a4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-75c60f15-bbd4-48c3-8a04-76a4ae5214a4' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 32, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2005-09-01\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20050801 20050901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the x and y coordinates\n",
    "jjas_data = jjas_data.sel(lon=slice(86,94),lat=slice(18,28))\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b6f4c992",
   "metadata": {},
   "outputs": [],
   "source": [
    "#interpolating to new lat and lon\n",
    "\n",
    "#new_lon = np.arange(86,94,0.2007)\n",
    "#new_lat = np.arange(18,28,0.034)\n",
    "#jjas_data = jjas_data.interp(lat=new_lat,lon=new_lon)\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "82d6b5d0",
   "metadata": {},
   "outputs": [
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       "\n",
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       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
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       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[0.36424097, 0.37230343, 0.37556937, ..., 0.9275374 , 0.8777441 ,\n",
       "        0.7401172 ],\n",
       "       [0.3488904 , 0.3580809 , 0.37171277, ..., 0.8381174 , 0.8546289 ,\n",
       "        0.7661515 ],\n",
       "       [0.35725656, 0.38105756, 0.38026428, ..., 0.7783064 , 0.7250169 ,\n",
       "        0.7301341 ],\n",
       "       ...,\n",
       "       [0.30676398, 0.28645703, 0.2692595 , ..., 0.3147538 , 0.3260526 ,\n",
       "        0.37545067],\n",
       "       [0.31019294, 0.28211737, 0.25408417, ..., 0.2937004 , 0.295968  ,\n",
       "        0.31669715],\n",
       "       [0.27611408, 0.25033024, 0.2144223 , ..., 0.30539277, 0.3226247 ,\n",
       "        0.3085496 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'precip'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d0f85faf-e4ab-4319-9fb0-b26236d3b235' class='xr-array-in' type='checkbox' checked><label for='section-d0f85faf-e4ab-4319-9fb0-b26236d3b235' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.3642 0.3723 0.3756 0.392 0.4062 ... 0.2879 0.3054 0.3226 0.3085</span></div><div class='xr-array-data'><pre>array([[0.36424097, 0.37230343, 0.37556937, ..., 0.9275374 , 0.8777441 ,\n",
       "        0.7401172 ],\n",
       "       [0.3488904 , 0.3580809 , 0.37171277, ..., 0.8381174 , 0.8546289 ,\n",
       "        0.7661515 ],\n",
       "       [0.35725656, 0.38105756, 0.38026428, ..., 0.7783064 , 0.7250169 ,\n",
       "        0.7301341 ],\n",
       "       ...,\n",
       "       [0.30676398, 0.28645703, 0.2692595 , ..., 0.3147538 , 0.3260526 ,\n",
       "        0.37545067],\n",
       "       [0.31019294, 0.28211737, 0.25408417, ..., 0.2937004 , 0.295968  ,\n",
       "        0.31669715],\n",
       "       [0.27611408, 0.25033024, 0.2144223 , ..., 0.30539277, 0.3226247 ,\n",
       "        0.3085496 ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-665281b3-4944-4642-a466-76e4af671725' class='xr-section-summary-in' type='checkbox'  checked><label for='section-665281b3-4944-4642-a466-76e4af671725' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-53332d84-892d-4589-aebe-4fee709386cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53332d84-892d-4589-aebe-4fee709386cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b229f60-10d2-425b-a6d0-cccc60676c2d' class='xr-var-data-in' type='checkbox'><label for='data-3b229f60-10d2-425b-a6d0-cccc60676c2d' 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-018c5369-4642-483d-bdfb-0e089a2e79ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-018c5369-4642-483d-bdfb-0e089a2e79ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bde1dcd9-f794-4ce5-be78-f902a100ed4b' class='xr-var-data-in' type='checkbox'><label for='data-bde1dcd9-f794-4ce5-be78-f902a100ed4b' 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-c2266a45-69df-4147-8140-d23b60a073e7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c2266a45-69df-4147-8140-d23b60a073e7' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'precip' (lat: 40, lon: 32)>\n",
       "array([[0.36424097, 0.37230343, 0.37556937, ..., 0.9275374 , 0.8777441 ,\n",
       "        0.7401172 ],\n",
       "       [0.3488904 , 0.3580809 , 0.37171277, ..., 0.8381174 , 0.8546289 ,\n",
       "        0.7661515 ],\n",
       "       [0.35725656, 0.38105756, 0.38026428, ..., 0.7783064 , 0.7250169 ,\n",
       "        0.7301341 ],\n",
       "       ...,\n",
       "       [0.30676398, 0.28645703, 0.2692595 , ..., 0.3147538 , 0.3260526 ,\n",
       "        0.37545067],\n",
       "       [0.31019294, 0.28211737, 0.25408417, ..., 0.2937004 , 0.295968  ,\n",
       "        0.31669715],\n",
       "       [0.27611408, 0.25033024, 0.2144223 , ..., 0.30539277, 0.3226247 ,\n",
       "        0.3085496 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.precip.mean('time')\n",
    " \n",
    "jjas_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6d00cba7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#changing unit from mm/month to mm/day\n",
    "pr_mm = jjas_mean*24\n",
    " \n",
    "\n",
    "\n",
    "trmm = pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b6d9b2b3",
   "metadata": {},
   "outputs": [
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       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
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       "  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",
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       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\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",
       "}\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",
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       "\n",
       ".xr-var-preview {\n",
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       "}\n",
       "\n",
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       ".xr-var-dims,\n",
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       "  padding-right: 10px;\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  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",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 9131, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-01T12:00:00 ... 2005-12-31T12:00:00\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1981-01-01 1981-01-02 ... 2006-01-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/36)\n",
       "    CDI:                            Climate Data Interface version 1.9.9rc1 (...\n",
       "    Conventions:                    CF-1.4\n",
       "    history:                        Fri Sep 16 21:05:39 2022: cdo remapnn,gri...\n",
       "    source:                         GERICS-REMO2015\n",
       "    institution:                    Helmholtz-Zentrum Geesthacht, Climate Ser...\n",
       "    institute_id:                   GERICS\n",
       "    ...                             ...\n",
       "    parent_experiment:              N/A\n",
       "    modeling_realm:                 atmos\n",
       "    realization:                    1\n",
       "    cmor_version:                   2.9.1\n",
       "    tracking_id:                    hdl:21.14103/a5bf17ab-c247-4be0-a27e-06f8...\n",
       "    CDO:                            Climate Data Operators version 1.9.9rc1 (...</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-cafce2cf-0b13-4108-9e82-78ed8b970c19' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cafce2cf-0b13-4108-9e82-78ed8b970c19' 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>: 9131</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-9a3e829f-5125-421d-ac58-cd57ba9ac805' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9a3e829f-5125-421d-ac58-cd57ba9ac805' 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'>1981-01-01T12:00:00 ... 2005-12-...</div><input id='attrs-75739730-482d-45d9-bb6d-1d53d352b96e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75739730-482d-45d9-bb6d-1d53d352b96e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69573dc1-49d8-41ee-8f4e-5975fc042492' class='xr-var-data-in' type='checkbox'><label for='data-69573dc1-49d8-41ee-8f4e-5975fc042492' 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;1981-01-01T12:00:00.000000000&#x27;, &#x27;1981-01-02T12:00:00.000000000&#x27;,\n",
       "       &#x27;1981-01-03T12:00:00.000000000&#x27;, ..., &#x27;2005-12-29T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-12-30T12:00:00.000000000&#x27;, &#x27;2005-12-31T12:00:00.000000000&#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-8c614d96-0231-4017-95fe-e5e2da9b05e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c614d96-0231-4017-95fe-e5e2da9b05e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1092abe-db72-4ce0-a31b-880c1659bead' class='xr-var-data-in' type='checkbox'><label for='data-e1092abe-db72-4ce0-a31b-880c1659bead' 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-d03d8bae-c8ab-4efb-896d-f21ab7052ff8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d03d8bae-c8ab-4efb-896d-f21ab7052ff8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60d619a5-cf3c-402d-bf6e-86b240fa68c6' class='xr-var-data-in' type='checkbox'><label for='data-60d619a5-cf3c-402d-bf6e-86b240fa68c6' 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-bd2fb294-4cd7-4a7e-be85-0cfba5c51f88' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bd2fb294-4cd7-4a7e-be85-0cfba5c51f88' 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-3dc931de-b83a-4cb1-88cf-3253b8d594aa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3dc931de-b83a-4cb1-88cf-3253b8d594aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85f9d8d7-f4a5-4cdd-ac50-e53f7c21a850' class='xr-var-data-in' type='checkbox'><label for='data-85f9d8d7-f4a5-4cdd-ac50-e53f7c21a850' 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;1981-01-01T00:00:00.000000000&#x27;, &#x27;1981-01-02T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-01-02T00:00:00.000000000&#x27;, &#x27;1981-01-03T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-01-03T00:00:00.000000000&#x27;, &#x27;1981-01-04T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2005-12-29T00:00:00.000000000&#x27;, &#x27;2005-12-30T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-12-30T00:00:00.000000000&#x27;, &#x27;2005-12-31T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-12-31T00:00:00.000000000&#x27;, &#x27;2006-01-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1fd61594-f58e-4f3c-b63c-c25651d73309' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fd61594-f58e-4f3c-b63c-c25651d73309' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67c7bcdd-286c-4d3f-a52d-c0c0a2629302' class='xr-var-data-in' type='checkbox'><label for='data-67c7bcdd-286c-4d3f-a52d-c0c0a2629302' 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>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>original_name :</span></dt><dd>pr</dd><dt><span>original_units :</span></dt><dd>kg m-2 h-1</dd><dt><span>history :</span></dt><dd>2019-03-25T11:36:48Z altered by CMOR: Converted units from &#x27;kg m-2 h-1&#x27; to &#x27;kg m-2 s-1&#x27;. 2019-03-25T11:36:48Z altered by CMOR: replaced missing value flag (-9e+33) with standard missing value (1e+20).</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>associated_files :</span></dt><dd>gridspecFile: gridspec_atmos_fx_GERICS-REMO2015_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[11687680 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aec3c429-f8b5-4228-9753-3c6b52fb7fd3' class='xr-section-summary-in' type='checkbox'  ><label for='section-aec3c429-f8b5-4228-9753-3c6b52fb7fd3' class='xr-section-summary' >Attributes: <span>(36)</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-1.4</dd><dt><span>history :</span></dt><dd>Fri Sep 16 21:05:39 2022: cdo remapnn,grid1.des pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_remap_1981-2005.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_remap1_1981-2005.nc\n",
       "Tue Sep 13 21:29:25 2022: cdo remapnn,grid.des pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_1981-2005.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_remap_1981-2005.nc\n",
       "Tue Sep 13 20:46:19 2022: cdo mergetime pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_19810101-19851231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_19860101-19901231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_19910101-19951231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_19960101-20001231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_20010101-20051231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_1981-2005.nc\n",
       "There is no special history for this experiment. 2019-03-25T11:36:48Z CMOR rewrote data to comply with CF standards and CORDEX requirements.</dd><dt><span>source :</span></dt><dd>GERICS-REMO2015</dd><dt><span>institution :</span></dt><dd>Helmholtz-Zentrum Geesthacht, Climate Service Center Germany</dd><dt><span>institute_id :</span></dt><dd>GERICS</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>GERICS-REMO2015</dd><dt><span>forcing :</span></dt><dd>N/A</dd><dt><span>parent_experiment_id :</span></dt><dd>N/A</dd><dt><span>parent_experiment_rip :</span></dt><dd>N/A</dd><dt><span>branch_time :</span></dt><dd>0.0</dd><dt><span>contact :</span></dt><dd>gerics-cordex@hzg.de</dd><dt><span>comment :</span></dt><dd>CORDEX-CORE South Asia RCM REMO WAS-22. Data_policy: This data has been produced in the context of the WCRP Initiative on CORDEX-CORE (http://www.cordex.org/experiment-guidelines/cordex-core). While abiding by the highest scientific and technical standards, GERICS cannot warrant that any information provided will be entirely free from errors or omissions or that such errors or omissions can or will be rectified entirely. This applies to data from projects that continue to be developed, but are made publicly available for the purpose of feedback and testing. Some data or metadata may have been created or structured in files or formats that are not error-free. GERICS accepts no responsibility with regard to such problems incurred as a result of using this data. Additional note: for instantaneous values, the point data were taken from hourly mean output.</dd><dt><span>references :</span></dt><dd>http://www.remo-rcm.de</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>driving_experiment :</span></dt><dd>NCC-NorESM1-M, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>NCC-NorESM1-M</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>rcm_version_id :</span></dt><dd>v1</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>creation_date :</span></dt><dd>2019-03-25T11:36:48Z</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>table_id :</span></dt><dd>Table day (March 2015) 0fd7c9320dff3b351cc577fecbf99273</dd><dt><span>title :</span></dt><dd>GERICS-REMO2015 model output prepared for CORDEX historical</dd><dt><span>parent_experiment :</span></dt><dd>N/A</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.9.1</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14103/a5bf17ab-c247-4be0-a27e-06f849303cd0</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: 9131, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-01T12:00:00 ... 2005-12-31T12:00:00\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] ...\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/36)\n",
       "    CDI:                            Climate Data Interface version 1.9.9rc1 (...\n",
       "    Conventions:                    CF-1.4\n",
       "    history:                        Fri Sep 16 21:05:39 2022: cdo remapnn,gri...\n",
       "    source:                         GERICS-REMO2015\n",
       "    institution:                    Helmholtz-Zentrum Geesthacht, Climate Ser...\n",
       "    institute_id:                   GERICS\n",
       "    ...                             ...\n",
       "    parent_experiment:              N/A\n",
       "    modeling_realm:                 atmos\n",
       "    realization:                    1\n",
       "    cmor_version:                   2.9.1\n",
       "    tracking_id:                    hdl:21.14103/a5bf17ab-c247-4be0-a27e-06f8...\n",
       "    CDO:                            Climate Data Operators version 1.9.9rc1 (..."
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#opening the remo noresm data\n",
    "\n",
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/regcm driven by gcm/remo/NorESM1/pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_remap1_1981-2005.nc')\n",
    " \n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "fa087746",
   "metadata": {},
   "outputs": [],
   "source": [
    "#data.lat.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "cafd5692",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 2891, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-01-16T12:00:00 ... 2005-12-15T12:00:00\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1998-01-16 1998-01-17 ... 2005-12-16\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/36)\n",
       "    CDI:                            Climate Data Interface version 1.9.9rc1 (...\n",
       "    Conventions:                    CF-1.4\n",
       "    history:                        Fri Sep 16 21:05:39 2022: cdo remapnn,gri...\n",
       "    source:                         GERICS-REMO2015\n",
       "    institution:                    Helmholtz-Zentrum Geesthacht, Climate Ser...\n",
       "    institute_id:                   GERICS\n",
       "    ...                             ...\n",
       "    parent_experiment:              N/A\n",
       "    modeling_realm:                 atmos\n",
       "    realization:                    1\n",
       "    cmor_version:                   2.9.1\n",
       "    tracking_id:                    hdl:21.14103/a5bf17ab-c247-4be0-a27e-06f8...\n",
       "    CDO:                            Climate Data Operators version 1.9.9rc1 (...</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-2059e100-540a-41d9-ab03-4697bc3f1643' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2059e100-540a-41d9-ab03-4697bc3f1643' 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>: 2891</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-02d97a1c-7b7e-41a8-bcf9-357bb6f88809' class='xr-section-summary-in' type='checkbox'  checked><label for='section-02d97a1c-7b7e-41a8-bcf9-357bb6f88809' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-495dc465-94de-4d40-b5a6-f5bbff24bbcc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-495dc465-94de-4d40-b5a6-f5bbff24bbcc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09b7ffd5-0fb1-4a50-8182-af07655be5d1' class='xr-var-data-in' type='checkbox'><label for='data-09b7ffd5-0fb1-4a50-8182-af07655be5d1' 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;1998-01-17T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-01-18T12:00:00.000000000&#x27;, ..., &#x27;2005-12-13T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-12-14T12:00:00.000000000&#x27;, &#x27;2005-12-15T12:00:00.000000000&#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-57da83c8-f4eb-443b-8520-40c0f62824f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57da83c8-f4eb-443b-8520-40c0f62824f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c960f96c-cdee-4469-9b75-d4a519a98c0e' class='xr-var-data-in' type='checkbox'><label for='data-c960f96c-cdee-4469-9b75-d4a519a98c0e' 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-a6e352f5-bf82-4499-93dc-8e7c0ea3ab22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6e352f5-bf82-4499-93dc-8e7c0ea3ab22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9955ca92-566a-4e4f-91a3-50ebfc473109' class='xr-var-data-in' type='checkbox'><label for='data-9955ca92-566a-4e4f-91a3-50ebfc473109' 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-e92ea6eb-221c-4c28-af96-ea9d0711fb5b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e92ea6eb-221c-4c28-af96-ea9d0711fb5b' 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'>1998-01-16 ... 2005-12-16</div><input id='attrs-99f1f788-df03-4516-b7be-17884c93980a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-99f1f788-df03-4516-b7be-17884c93980a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b232867e-f132-4114-b54e-3df8d4259e3a' class='xr-var-data-in' type='checkbox'><label for='data-b232867e-f132-4114-b54e-3df8d4259e3a' 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;1998-01-16T00:00:00.000000000&#x27;, &#x27;1998-01-17T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-01-17T00:00:00.000000000&#x27;, &#x27;1998-01-18T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-01-18T00:00:00.000000000&#x27;, &#x27;1998-01-19T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2005-12-13T00:00:00.000000000&#x27;, &#x27;2005-12-14T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-12-14T00:00:00.000000000&#x27;, &#x27;2005-12-15T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-12-15T00:00:00.000000000&#x27;, &#x27;2005-12-16T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>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-1b9ba208-25ba-4565-bc27-dbab3ef935ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b9ba208-25ba-4565-bc27-dbab3ef935ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee32bd67-95bf-4a6f-83b6-effb83141ffe' class='xr-var-data-in' type='checkbox'><label for='data-ee32bd67-95bf-4a6f-83b6-effb83141ffe' 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>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>original_name :</span></dt><dd>pr</dd><dt><span>original_units :</span></dt><dd>kg m-2 h-1</dd><dt><span>history :</span></dt><dd>2019-03-25T11:36:48Z altered by CMOR: Converted units from &#x27;kg m-2 h-1&#x27; to &#x27;kg m-2 s-1&#x27;. 2019-03-25T11:36:48Z altered by CMOR: replaced missing value flag (-9e+33) with standard missing value (1e+20).</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>associated_files :</span></dt><dd>gridspecFile: gridspec_atmos_fx_GERICS-REMO2015_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[3700480 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6dd9554d-fe73-413d-b49c-3365e97ddcbf' class='xr-section-summary-in' type='checkbox'  ><label for='section-6dd9554d-fe73-413d-b49c-3365e97ddcbf' class='xr-section-summary' >Attributes: <span>(36)</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-1.4</dd><dt><span>history :</span></dt><dd>Fri Sep 16 21:05:39 2022: cdo remapnn,grid1.des pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_remap_1981-2005.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_remap1_1981-2005.nc\n",
       "Tue Sep 13 21:29:25 2022: cdo remapnn,grid.des pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_1981-2005.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_remap_1981-2005.nc\n",
       "Tue Sep 13 20:46:19 2022: cdo mergetime pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_19810101-19851231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_19860101-19901231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_19910101-19951231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_19960101-20001231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_20010101-20051231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_1981-2005.nc\n",
       "There is no special history for this experiment. 2019-03-25T11:36:48Z CMOR rewrote data to comply with CF standards and CORDEX requirements.</dd><dt><span>source :</span></dt><dd>GERICS-REMO2015</dd><dt><span>institution :</span></dt><dd>Helmholtz-Zentrum Geesthacht, Climate Service Center Germany</dd><dt><span>institute_id :</span></dt><dd>GERICS</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>GERICS-REMO2015</dd><dt><span>forcing :</span></dt><dd>N/A</dd><dt><span>parent_experiment_id :</span></dt><dd>N/A</dd><dt><span>parent_experiment_rip :</span></dt><dd>N/A</dd><dt><span>branch_time :</span></dt><dd>0.0</dd><dt><span>contact :</span></dt><dd>gerics-cordex@hzg.de</dd><dt><span>comment :</span></dt><dd>CORDEX-CORE South Asia RCM REMO WAS-22. Data_policy: This data has been produced in the context of the WCRP Initiative on CORDEX-CORE (http://www.cordex.org/experiment-guidelines/cordex-core). While abiding by the highest scientific and technical standards, GERICS cannot warrant that any information provided will be entirely free from errors or omissions or that such errors or omissions can or will be rectified entirely. This applies to data from projects that continue to be developed, but are made publicly available for the purpose of feedback and testing. Some data or metadata may have been created or structured in files or formats that are not error-free. GERICS accepts no responsibility with regard to such problems incurred as a result of using this data. Additional note: for instantaneous values, the point data were taken from hourly mean output.</dd><dt><span>references :</span></dt><dd>http://www.remo-rcm.de</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>driving_experiment :</span></dt><dd>NCC-NorESM1-M, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>NCC-NorESM1-M</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>rcm_version_id :</span></dt><dd>v1</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>creation_date :</span></dt><dd>2019-03-25T11:36:48Z</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>table_id :</span></dt><dd>Table day (March 2015) 0fd7c9320dff3b351cc577fecbf99273</dd><dt><span>title :</span></dt><dd>GERICS-REMO2015 model output prepared for CORDEX historical</dd><dt><span>parent_experiment :</span></dt><dd>N/A</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.9.1</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14103/a5bf17ab-c247-4be0-a27e-06f849303cd0</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: 2891, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-01-16T12:00:00 ... 2005-12-15T12:00:00\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1998-01-16 1998-01-17 ... 2005-12-16\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/36)\n",
       "    CDI:                            Climate Data Interface version 1.9.9rc1 (...\n",
       "    Conventions:                    CF-1.4\n",
       "    history:                        Fri Sep 16 21:05:39 2022: cdo remapnn,gri...\n",
       "    source:                         GERICS-REMO2015\n",
       "    institution:                    Helmholtz-Zentrum Geesthacht, Climate Ser...\n",
       "    institute_id:                   GERICS\n",
       "    ...                             ...\n",
       "    parent_experiment:              N/A\n",
       "    modeling_realm:                 atmos\n",
       "    realization:                    1\n",
       "    cmor_version:                   2.9.1\n",
       "    tracking_id:                    hdl:21.14103/a5bf17ab-c247-4be0-a27e-06f8...\n",
       "    CDO:                            Climate Data Operators version 1.9.9rc1 (..."
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1998-01-16T12:00:00.000000000','2005-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c811b0f2",
   "metadata": {},
   "outputs": [
    {
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       "  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: 976, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-06-01T12:00:00 ... 2005-09-30T12:00:00\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1998-06-01 1998-06-02 ... 2005-10-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/36)\n",
       "    CDI:                            Climate Data Interface version 1.9.9rc1 (...\n",
       "    Conventions:                    CF-1.4\n",
       "    history:                        Fri Sep 16 21:05:39 2022: cdo remapnn,gri...\n",
       "    source:                         GERICS-REMO2015\n",
       "    institution:                    Helmholtz-Zentrum Geesthacht, Climate Ser...\n",
       "    institute_id:                   GERICS\n",
       "    ...                             ...\n",
       "    parent_experiment:              N/A\n",
       "    modeling_realm:                 atmos\n",
       "    realization:                    1\n",
       "    cmor_version:                   2.9.1\n",
       "    tracking_id:                    hdl:21.14103/a5bf17ab-c247-4be0-a27e-06f8...\n",
       "    CDO:                            Climate Data Operators version 1.9.9rc1 (...</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-6d043537-3e6f-4810-bc7c-6f95fcc2fb89' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6d043537-3e6f-4810-bc7c-6f95fcc2fb89' 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>: 976</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-58fefd2a-8523-4833-90e8-0a900627ab02' class='xr-section-summary-in' type='checkbox'  checked><label for='section-58fefd2a-8523-4833-90e8-0a900627ab02' 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'>1998-06-01T12:00:00 ... 2005-09-...</div><input id='attrs-22c76a8d-7dc0-4fb7-9e21-64d7a594495c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22c76a8d-7dc0-4fb7-9e21-64d7a594495c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcdaaefe-a557-48be-ba9c-56e235afa9f8' class='xr-var-data-in' type='checkbox'><label for='data-fcdaaefe-a557-48be-ba9c-56e235afa9f8' 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;1998-06-01T12:00:00.000000000&#x27;, &#x27;1998-06-02T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-03T12:00:00.000000000&#x27;, ..., &#x27;2005-09-28T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-09-29T12:00:00.000000000&#x27;, &#x27;2005-09-30T12:00:00.000000000&#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-eba91425-263e-4902-b44d-bc50202b629a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eba91425-263e-4902-b44d-bc50202b629a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aaa8394e-b609-4bbb-983d-9b38fa3cb65d' class='xr-var-data-in' type='checkbox'><label for='data-aaa8394e-b609-4bbb-983d-9b38fa3cb65d' 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-da1228e0-42be-4b48-a100-d47ccb39b3cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da1228e0-42be-4b48-a100-d47ccb39b3cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a655436a-76dd-43ec-8fe7-41537c12f46b' class='xr-var-data-in' type='checkbox'><label for='data-a655436a-76dd-43ec-8fe7-41537c12f46b' 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-72e95e1c-e280-4d72-8999-21d5df2f4e6c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-72e95e1c-e280-4d72-8999-21d5df2f4e6c' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-06-01 ... 2005-10-01</div><input id='attrs-9f6920e5-8292-4df7-af1f-9074e6cf3a72' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9f6920e5-8292-4df7-af1f-9074e6cf3a72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81e250dc-27b4-4833-af83-129817b83c8c' class='xr-var-data-in' type='checkbox'><label for='data-81e250dc-27b4-4833-af83-129817b83c8c' 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;1998-06-02T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-06-02T00:00:00.000000000&#x27;, &#x27;1998-06-03T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1998-06-03T00:00:00.000000000&#x27;, &#x27;1998-06-04T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2005-09-28T00:00:00.000000000&#x27;, &#x27;2005-09-29T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-09-29T00:00:00.000000000&#x27;, &#x27;2005-09-30T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2005-09-30T00:00:00.000000000&#x27;, &#x27;2005-10-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-88a0d822-4db6-40c7-bc60-b97e70372fa3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88a0d822-4db6-40c7-bc60-b97e70372fa3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53abd835-05ff-47f5-9d4d-ac9ce087d769' class='xr-var-data-in' type='checkbox'><label for='data-53abd835-05ff-47f5-9d4d-ac9ce087d769' 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>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>original_name :</span></dt><dd>pr</dd><dt><span>original_units :</span></dt><dd>kg m-2 h-1</dd><dt><span>history :</span></dt><dd>2019-03-25T11:36:48Z altered by CMOR: Converted units from &#x27;kg m-2 h-1&#x27; to &#x27;kg m-2 s-1&#x27;. 2019-03-25T11:36:48Z altered by CMOR: replaced missing value flag (-9e+33) with standard missing value (1e+20).</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>associated_files :</span></dt><dd>gridspecFile: gridspec_atmos_fx_GERICS-REMO2015_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[1249280 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-42e951ed-bb6e-4f28-822d-3d045ecd1572' class='xr-section-summary-in' type='checkbox'  ><label for='section-42e951ed-bb6e-4f28-822d-3d045ecd1572' class='xr-section-summary' >Attributes: <span>(36)</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-1.4</dd><dt><span>history :</span></dt><dd>Fri Sep 16 21:05:39 2022: cdo remapnn,grid1.des pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_remap_1981-2005.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_remap1_1981-2005.nc\n",
       "Tue Sep 13 21:29:25 2022: cdo remapnn,grid.des pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_1981-2005.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_remap_1981-2005.nc\n",
       "Tue Sep 13 20:46:19 2022: cdo mergetime pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_19810101-19851231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_19860101-19901231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_19910101-19951231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_19960101-20001231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_20010101-20051231.nc pr_WAS-22_NCC-NorESM1-M_historical_r1i1p1_GERICS-REMO2015_v1_day_1981-2005.nc\n",
       "There is no special history for this experiment. 2019-03-25T11:36:48Z CMOR rewrote data to comply with CF standards and CORDEX requirements.</dd><dt><span>source :</span></dt><dd>GERICS-REMO2015</dd><dt><span>institution :</span></dt><dd>Helmholtz-Zentrum Geesthacht, Climate Service Center Germany</dd><dt><span>institute_id :</span></dt><dd>GERICS</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>GERICS-REMO2015</dd><dt><span>forcing :</span></dt><dd>N/A</dd><dt><span>parent_experiment_id :</span></dt><dd>N/A</dd><dt><span>parent_experiment_rip :</span></dt><dd>N/A</dd><dt><span>branch_time :</span></dt><dd>0.0</dd><dt><span>contact :</span></dt><dd>gerics-cordex@hzg.de</dd><dt><span>comment :</span></dt><dd>CORDEX-CORE South Asia RCM REMO WAS-22. Data_policy: This data has been produced in the context of the WCRP Initiative on CORDEX-CORE (http://www.cordex.org/experiment-guidelines/cordex-core). While abiding by the highest scientific and technical standards, GERICS cannot warrant that any information provided will be entirely free from errors or omissions or that such errors or omissions can or will be rectified entirely. This applies to data from projects that continue to be developed, but are made publicly available for the purpose of feedback and testing. Some data or metadata may have been created or structured in files or formats that are not error-free. GERICS accepts no responsibility with regard to such problems incurred as a result of using this data. Additional note: for instantaneous values, the point data were taken from hourly mean output.</dd><dt><span>references :</span></dt><dd>http://www.remo-rcm.de</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>driving_experiment :</span></dt><dd>NCC-NorESM1-M, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>NCC-NorESM1-M</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>rcm_version_id :</span></dt><dd>v1</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>day</dd><dt><span>creation_date :</span></dt><dd>2019-03-25T11:36:48Z</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>table_id :</span></dt><dd>Table day (March 2015) 0fd7c9320dff3b351cc577fecbf99273</dd><dt><span>title :</span></dt><dd>GERICS-REMO2015 model output prepared for CORDEX historical</dd><dt><span>parent_experiment :</span></dt><dd>N/A</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.9.1</dd><dt><span>tracking_id :</span></dt><dd>hdl:21.14103/a5bf17ab-c247-4be0-a27e-06f849303cd0</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: 976, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-06-01T12:00:00 ... 2005-09-30T12:00:00\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1998-06-01 1998-06-02 ... 2005-10-01\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/36)\n",
       "    CDI:                            Climate Data Interface version 1.9.9rc1 (...\n",
       "    Conventions:                    CF-1.4\n",
       "    history:                        Fri Sep 16 21:05:39 2022: cdo remapnn,gri...\n",
       "    source:                         GERICS-REMO2015\n",
       "    institution:                    Helmholtz-Zentrum Geesthacht, Climate Ser...\n",
       "    institute_id:                   GERICS\n",
       "    ...                             ...\n",
       "    parent_experiment:              N/A\n",
       "    modeling_realm:                 atmos\n",
       "    realization:                    1\n",
       "    cmor_version:                   2.9.1\n",
       "    tracking_id:                    hdl:21.14103/a5bf17ab-c247-4be0-a27e-06f8...\n",
       "    CDO:                            Climate Data Operators version 1.9.9rc1 (..."
      ]
     },
     "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.lon.values\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "18269e45",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[5.8943308e-05, 6.5682354e-05, 6.5372136e-05, ..., 1.7843003e-04,\n",
       "        1.9747566e-04, 2.0603150e-04],\n",
       "       [6.1018436e-05, 6.2272084e-05, 6.0878159e-05, ..., 1.6614208e-04,\n",
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       "        1.6382842e-04, 1.9452724e-04],\n",
       "       ...,\n",
       "       [9.6842115e-05, 9.6740267e-05, 1.4434580e-04, ..., 7.6633842e-05,\n",
       "        1.6815655e-04, 1.0918975e-04],\n",
       "       [1.6314503e-04, 1.5256871e-04, 1.4552902e-04, ..., 5.4893782e-05,\n",
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       "        9.3108720e-05, 1.5949782e-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-00e7f251-c251-4121-a314-ef56cc9aebbe' class='xr-array-in' type='checkbox' checked><label for='section-00e7f251-c251-4121-a314-ef56cc9aebbe' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.894e-05 6.568e-05 6.537e-05 ... 0.0001318 9.311e-05 0.0001595</span></div><div class='xr-array-data'><pre>array([[5.8943308e-05, 6.5682354e-05, 6.5372136e-05, ..., 1.7843003e-04,\n",
       "        1.9747566e-04, 2.0603150e-04],\n",
       "       [6.1018436e-05, 6.2272084e-05, 6.0878159e-05, ..., 1.6614208e-04,\n",
       "        1.8856801e-04, 1.9917349e-04],\n",
       "       [4.9882750e-05, 5.1820756e-05, 5.1529492e-05, ..., 1.4922406e-04,\n",
       "        1.6382842e-04, 1.9452724e-04],\n",
       "       ...,\n",
       "       [9.6842115e-05, 9.6740267e-05, 1.4434580e-04, ..., 7.6633842e-05,\n",
       "        1.6815655e-04, 1.0918975e-04],\n",
       "       [1.6314503e-04, 1.5256871e-04, 1.4552902e-04, ..., 5.4893782e-05,\n",
       "        1.2521140e-04, 6.9442867e-05],\n",
       "       [2.2089477e-04, 1.7342354e-04, 1.7682240e-04, ..., 1.3175135e-04,\n",
       "        9.3108720e-05, 1.5949782e-04]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-da267d28-e89b-4edf-914a-d1c0c7fd1600' class='xr-section-summary-in' type='checkbox'  checked><label for='section-da267d28-e89b-4edf-914a-d1c0c7fd1600' 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-6eea5996-8489-4dcd-975c-795ebafbd45a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6eea5996-8489-4dcd-975c-795ebafbd45a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca2904c8-f3c9-4c8a-b36d-9c4c40c6d673' class='xr-var-data-in' type='checkbox'><label for='data-ca2904c8-f3c9-4c8a-b36d-9c4c40c6d673' 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-8deb401f-4785-4df9-a296-3bbc83dc2d05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8deb401f-4785-4df9-a296-3bbc83dc2d05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35e2dc95-6575-4ce0-aea3-290462eda4b7' class='xr-var-data-in' type='checkbox'><label for='data-35e2dc95-6575-4ce0-aea3-290462eda4b7' 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-3da8d5b5-dd18-44d3-bfad-64f2412d460d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3da8d5b5-dd18-44d3-bfad-64f2412d460d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (lat: 40, lon: 32)>\n",
       "array([[5.8943308e-05, 6.5682354e-05, 6.5372136e-05, ..., 1.7843003e-04,\n",
       "        1.9747566e-04, 2.0603150e-04],\n",
       "       [6.1018436e-05, 6.2272084e-05, 6.0878159e-05, ..., 1.6614208e-04,\n",
       "        1.8856801e-04, 1.9917349e-04],\n",
       "       [4.9882750e-05, 5.1820756e-05, 5.1529492e-05, ..., 1.4922406e-04,\n",
       "        1.6382842e-04, 1.9452724e-04],\n",
       "       ...,\n",
       "       [9.6842115e-05, 9.6740267e-05, 1.4434580e-04, ..., 7.6633842e-05,\n",
       "        1.6815655e-04, 1.0918975e-04],\n",
       "       [1.6314503e-04, 1.5256871e-04, 1.4552902e-04, ..., 5.4893782e-05,\n",
       "        1.2521140e-04, 6.9442867e-05],\n",
       "       [2.2089477e-04, 1.7342354e-04, 1.7682240e-04, ..., 1.3175135e-04,\n",
       "        9.3108720e-05, 1.5949782e-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": 15,
     "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": 16,
   "id": "6f88bd72",
   "metadata": {},
   "outputs": [
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       ".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 &#x27;pr&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[ 5.09270177,  5.67495539,  5.64815258, ..., 15.41635422,\n",
       "        17.06189699, 17.80112176],\n",
       "       [ 5.27199288,  5.38030802,  5.25987296, ..., 14.35467596,\n",
       "        16.29227609, 17.20858952],\n",
       "       [ 4.30986963,  4.47731334,  4.45214814, ..., 12.89295838,\n",
       "        14.15477511, 16.80715336],\n",
       "       ...,\n",
       "       [ 8.36715878,  8.35835903, 12.47147731, ...,  6.62116392,\n",
       "        14.52872576,  9.43399442],\n",
       "       [14.09573047, 13.18193665, 12.5737072 , ...,  4.7428228 ,\n",
       "        10.8182651 ,  5.99986373],\n",
       "       [19.08530812, 14.98379395, 15.27745561, ..., 11.38331685,\n",
       "         8.04459339, 13.78061199]])\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-0feb397f-1247-4e3f-a69c-41eecf956ebd' class='xr-array-in' type='checkbox' checked><label for='section-0feb397f-1247-4e3f-a69c-41eecf956ebd' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.093 5.675 5.648 5.338 5.732 6.285 ... 16.14 11.85 11.38 8.045 13.78</span></div><div class='xr-array-data'><pre>array([[ 5.09270177,  5.67495539,  5.64815258, ..., 15.41635422,\n",
       "        17.06189699, 17.80112176],\n",
       "       [ 5.27199288,  5.38030802,  5.25987296, ..., 14.35467596,\n",
       "        16.29227609, 17.20858952],\n",
       "       [ 4.30986963,  4.47731334,  4.45214814, ..., 12.89295838,\n",
       "        14.15477511, 16.80715336],\n",
       "       ...,\n",
       "       [ 8.36715878,  8.35835903, 12.47147731, ...,  6.62116392,\n",
       "        14.52872576,  9.43399442],\n",
       "       [14.09573047, 13.18193665, 12.5737072 , ...,  4.7428228 ,\n",
       "        10.8182651 ,  5.99986373],\n",
       "       [19.08530812, 14.98379395, 15.27745561, ..., 11.38331685,\n",
       "         8.04459339, 13.78061199]])</pre></div></div></li><li class='xr-section-item'><input id='section-a37ebabe-51bf-4dba-89b7-738b7863bf31' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a37ebabe-51bf-4dba-89b7-738b7863bf31' 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-7296f961-a312-4ff2-9fca-d630f70db952' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7296f961-a312-4ff2-9fca-d630f70db952' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a242477d-4397-44ac-a971-3fff4e9ba481' class='xr-var-data-in' type='checkbox'><label for='data-a242477d-4397-44ac-a971-3fff4e9ba481' 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-b9051aef-cd7c-4840-9833-fb66d6a8fda8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9051aef-cd7c-4840-9833-fb66d6a8fda8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd175185-d160-4b61-8bc3-89b511689030' class='xr-var-data-in' type='checkbox'><label for='data-cd175185-d160-4b61-8bc3-89b511689030' 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-6868487b-3fdf-408b-b6fc-1688bae072ca' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6868487b-3fdf-408b-b6fc-1688bae072ca' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (lat: 40, lon: 32)>\n",
       "array([[ 5.09270177,  5.67495539,  5.64815258, ..., 15.41635422,\n",
       "        17.06189699, 17.80112176],\n",
       "       [ 5.27199288,  5.38030802,  5.25987296, ..., 14.35467596,\n",
       "        16.29227609, 17.20858952],\n",
       "       [ 4.30986963,  4.47731334,  4.45214814, ..., 12.89295838,\n",
       "        14.15477511, 16.80715336],\n",
       "       ...,\n",
       "       [ 8.36715878,  8.35835903, 12.47147731, ...,  6.62116392,\n",
       "        14.52872576,  9.43399442],\n",
       "       [14.09573047, 13.18193665, 12.5737072 , ...,  4.7428228 ,\n",
       "        10.8182651 ,  5.99986373],\n",
       "       [19.08530812, 14.98379395, 15.27745561, ..., 11.38331685,\n",
       "         8.04459339, 13.78061199]])\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": [
    "noresm = jjas_mean*86400\n",
    "noresm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "6c5c5811",
   "metadata": {},
   "outputs": [
    {
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       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (lat: 40, lon: 32)&gt;\n",
       "array([[-3.64908137, -3.26032637, -3.36551262, ..., -6.84454246,\n",
       "        -4.00395994,  0.03830819],\n",
       "       [-3.10137634, -3.21363367, -3.66123338, ..., -5.76014261,\n",
       "        -4.21881705, -1.17904666],\n",
       "       [-4.26428809, -4.66806859, -4.67419464, ..., -5.78639533,\n",
       "        -3.24563077, -0.71606671],\n",
       "       ...,\n",
       "       [ 1.00482357,  1.48339051,  6.00924902, ..., -0.93292753,\n",
       "         6.70346322,  0.42317784],\n",
       "       [ 6.65109985,  6.41111984,  6.47568712, ..., -2.30598673,\n",
       "         3.71503319, -1.60086812],\n",
       "       [12.45857052,  8.97586797, 10.13132028, ...,  4.05389009,\n",
       "         0.30160003,  6.37542152]])\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-bf9c41b0-62a3-4542-985c-3924f8dd3fa9' class='xr-array-in' type='checkbox' checked><label for='section-bf9c41b0-62a3-4542-985c-3924f8dd3fa9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-3.649 -3.26 -3.366 -4.069 -4.018 ... 10.08 4.935 4.054 0.3016 6.375</span></div><div class='xr-array-data'><pre>array([[-3.64908137, -3.26032637, -3.36551262, ..., -6.84454246,\n",
       "        -4.00395994,  0.03830819],\n",
       "       [-3.10137634, -3.21363367, -3.66123338, ..., -5.76014261,\n",
       "        -4.21881705, -1.17904666],\n",
       "       [-4.26428809, -4.66806859, -4.67419464, ..., -5.78639533,\n",
       "        -3.24563077, -0.71606671],\n",
       "       ...,\n",
       "       [ 1.00482357,  1.48339051,  6.00924902, ..., -0.93292753,\n",
       "         6.70346322,  0.42317784],\n",
       "       [ 6.65109985,  6.41111984,  6.47568712, ..., -2.30598673,\n",
       "         3.71503319, -1.60086812],\n",
       "       [12.45857052,  8.97586797, 10.13132028, ...,  4.05389009,\n",
       "         0.30160003,  6.37542152]])</pre></div></div></li><li class='xr-section-item'><input id='section-52ed828b-dadc-4b8a-a8bf-232531b6cad7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-52ed828b-dadc-4b8a-a8bf-232531b6cad7' 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-3be4f147-3778-4f2b-826b-722dd747b0d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3be4f147-3778-4f2b-826b-722dd747b0d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0136fdec-9675-432b-bf02-4866865c7f2d' class='xr-var-data-in' type='checkbox'><label for='data-0136fdec-9675-432b-bf02-4866865c7f2d' 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-bc5745ca-6bdf-4a0b-8078-8b0694f4a122' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc5745ca-6bdf-4a0b-8078-8b0694f4a122' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebe72778-fedd-4bae-a364-ec5ac5421c56' class='xr-var-data-in' type='checkbox'><label for='data-ebe72778-fedd-4bae-a364-ec5ac5421c56' 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-5b83479a-161f-44fa-8684-2d629b805591' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5b83479a-161f-44fa-8684-2d629b805591' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (lat: 40, lon: 32)>\n",
       "array([[-3.64908137, -3.26032637, -3.36551262, ..., -6.84454246,\n",
       "        -4.00395994,  0.03830819],\n",
       "       [-3.10137634, -3.21363367, -3.66123338, ..., -5.76014261,\n",
       "        -4.21881705, -1.17904666],\n",
       "       [-4.26428809, -4.66806859, -4.67419464, ..., -5.78639533,\n",
       "        -3.24563077, -0.71606671],\n",
       "       ...,\n",
       "       [ 1.00482357,  1.48339051,  6.00924902, ..., -0.93292753,\n",
       "         6.70346322,  0.42317784],\n",
       "       [ 6.65109985,  6.41111984,  6.47568712, ..., -2.30598673,\n",
       "         3.71503319, -1.60086812],\n",
       "       [12.45857052,  8.97586797, 10.13132028, ...,  4.05389009,\n",
       "         0.30160003,  6.37542152]])\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": [
    "bias = noresm - trmm\n",
    "bias"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "445388ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  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([[-41.74298668, -36.48823232, -37.3378925 , ..., -30.74693064,\n",
       "        -19.00686951,   0.21566512],\n",
       "       [-37.03857142, -37.39417583, -41.04012707, ..., -28.63631402,\n",
       "        -20.56846516,  -6.41217094],\n",
       "       [-49.73419232, -51.04290481, -51.21651412, ..., -30.97749216,\n",
       "        -18.65261529,  -4.08638769],\n",
       "       ...,\n",
       "       [ 13.64816383,  21.57668794,  92.99035471, ..., -12.34996344,\n",
       "         85.6643873 ,   4.69633181],\n",
       "       [ 89.340898  ,  94.68753965, 106.1932732 , ..., -32.71455588,\n",
       "         52.30060402, -21.06202602],\n",
       "       [188.00458514, 149.40044177, 196.87240283, ...,  55.30978365,\n",
       "          3.89513482,  86.09395729]])\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-08ead45a-6a60-4196-8aab-a71d57e8611b' class='xr-array-in' type='checkbox' checked><label for='section-08ead45a-6a60-4196-8aab-a71d57e8611b' 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>-41.74 -36.49 -37.34 -43.26 -41.21 ... 166.4 71.41 55.31 3.895 86.09</span></div><div class='xr-array-data'><pre>array([[-41.74298668, -36.48823232, -37.3378925 , ..., -30.74693064,\n",
       "        -19.00686951,   0.21566512],\n",
       "       [-37.03857142, -37.39417583, -41.04012707, ..., -28.63631402,\n",
       "        -20.56846516,  -6.41217094],\n",
       "       [-49.73419232, -51.04290481, -51.21651412, ..., -30.97749216,\n",
       "        -18.65261529,  -4.08638769],\n",
       "       ...,\n",
       "       [ 13.64816383,  21.57668794,  92.99035471, ..., -12.34996344,\n",
       "         85.6643873 ,   4.69633181],\n",
       "       [ 89.340898  ,  94.68753965, 106.1932732 , ..., -32.71455588,\n",
       "         52.30060402, -21.06202602],\n",
       "       [188.00458514, 149.40044177, 196.87240283, ...,  55.30978365,\n",
       "          3.89513482,  86.09395729]])</pre></div></div></li><li class='xr-section-item'><input id='section-cb5a9906-8c93-4448-8db7-a6e0d8c3eb01' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cb5a9906-8c93-4448-8db7-a6e0d8c3eb01' 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-34893cac-1ed8-473d-bc26-492898db3fcc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34893cac-1ed8-473d-bc26-492898db3fcc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b56afe6-99e7-4b73-a025-e5a1b7c8ee72' class='xr-var-data-in' type='checkbox'><label for='data-1b56afe6-99e7-4b73-a025-e5a1b7c8ee72' 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-54a6b122-a3e9-4c97-8a2d-ecf417c93116' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54a6b122-a3e9-4c97-8a2d-ecf417c93116' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c0c489b-b5fd-47a1-8cf2-1f5babc59951' class='xr-var-data-in' type='checkbox'><label for='data-9c0c489b-b5fd-47a1-8cf2-1f5babc59951' 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-56eb9594-8e49-4e82-b72f-1a17e7598dd9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-56eb9594-8e49-4e82-b72f-1a17e7598dd9' 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([[-41.74298668, -36.48823232, -37.3378925 , ..., -30.74693064,\n",
       "        -19.00686951,   0.21566512],\n",
       "       [-37.03857142, -37.39417583, -41.04012707, ..., -28.63631402,\n",
       "        -20.56846516,  -6.41217094],\n",
       "       [-49.73419232, -51.04290481, -51.21651412, ..., -30.97749216,\n",
       "        -18.65261529,  -4.08638769],\n",
       "       ...,\n",
       "       [ 13.64816383,  21.57668794,  92.99035471, ..., -12.34996344,\n",
       "         85.6643873 ,   4.69633181],\n",
       "       [ 89.340898  ,  94.68753965, 106.1932732 , ..., -32.71455588,\n",
       "         52.30060402, -21.06202602],\n",
       "       [188.00458514, 149.40044177, 196.87240283, ...,  55.30978365,\n",
       "          3.89513482,  86.09395729]])\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_percentage = ((noresm - trmm)/trmm)*100\n",
    "bias_percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "08ba09cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting annual_pr_mean\n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "plt.rcParams['font.size'] = '16'\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias['lon'], bias['lat'],bias[:,:],\n",
    "                 levels=np.arange(-15,15+3,3), transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1,ticks=np.arange(-15,15+3,3), orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "\n",
    "\n",
    "plt.title('Seasonal Bias(RegCM NORESM-TRMM)' )\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias remo(noresm-trmm).png\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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",
    "plt.rcParams['font.size'] = '14'\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias_percentage['lon'], bias_percentage['lat'],bias_percentage[:,:],\n",
    "                 levels=np.arange(-150,150+25,25), transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1,ticks=np.arange(-150,150+25,25),orientation = 'horizontal',shrink=0.7, fraction = 0.05 , label = 'percentage')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "\n",
    "plt.title('Seasonal Bias-Percentage(RegCM NORESM-TRMM)',fontsize=17)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias_percentage remo(noresm-trmm).png\")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#cma colors\n",
    "'''Colormap CET_D1A is not recognized. Possible values are: Accent, Accent_r, Blues, Blues_r, \n",
    "BrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens,\n",
    "Greens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, \n",
    "Pastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy,\n",
    "RdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, \n",
    "Spectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn,\n",
    "autumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, \n",
    "copper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat,\n",
    "gist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r,\n",
    "gnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, inferno, inferno_r, jet, jet_r, magma,\n",
    "magma_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, \n",
    "seismic, seismic_r, spring, spring_r, summer, summer_r, tab10, tab10_r, tab20, tab20_r, tab20b, tab20b_r, tab20c, tab20c_r, \n",
    "ter'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "87f4ea28",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20e38f40",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "21be7cc5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f5489f24",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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