Annual Bias(Eraint-trmm).ipynb

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    "#writing some conda package or module\n",
    "#!pip install netCDF4\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "from netCDF4 import Dataset\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "#!pip install cartopy\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.mpl.ticker as cticker\n",
    "from cartopy.util import add_cyclic_point"
   ]
  },
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 132, lat: 400, lon: 1440)\n",
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       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4c81706c-3137-4d5c-b9cb-d13c651bf5e5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4c81706c-3137-4d5c-b9cb-d13c651bf5e5' 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-dc7698a2-3095-4ed5-93f7-b77fe3f8a264' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dc7698a2-3095-4ed5-93f7-b77fe3f8a264' 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-2df31e4d-8899-4d94-8691-425c04210845' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2df31e4d-8899-4d94-8691-425c04210845' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-326d277f-0cda-4e28-95ca-62b8cb1648cb' class='xr-var-data-in' type='checkbox'><label for='data-326d277f-0cda-4e28-95ca-62b8cb1648cb' 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-1b840cab-1477-4603-9c39-302ba405ba7c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b840cab-1477-4603-9c39-302ba405ba7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4f954ee-52eb-4cfa-b9b9-1c3c476823da' class='xr-var-data-in' type='checkbox'><label for='data-e4f954ee-52eb-4cfa-b9b9-1c3c476823da' 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-4837974e-47fc-40d7-8f4a-428352e78299' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4837974e-47fc-40d7-8f4a-428352e78299' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2452183-41ee-4ec4-96b3-79b25be4fe45' class='xr-var-data-in' type='checkbox'><label for='data-b2452183-41ee-4ec4-96b3-79b25be4fe45' 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-3b38c401-00f1-41a3-a412-72a8dc94adb0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3b38c401-00f1-41a3-a412-72a8dc94adb0' 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-cd770942-a217-4d5e-bb8a-3e6e538a3231' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd770942-a217-4d5e-bb8a-3e6e538a3231' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45d0f778-54f4-4575-9689-0a57a9d8fc06' class='xr-var-data-in' type='checkbox'><label for='data-45d0f778-54f4-4575-9689-0a57a9d8fc06' 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-7afce024-ab9f-4431-9782-92ed3324e12f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7afce024-ab9f-4431-9782-92ed3324e12f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48d6ea0b-0306-41bd-af68-6d1db768a8f2' class='xr-var-data-in' type='checkbox'><label for='data-48d6ea0b-0306-41bd-af68-6d1db768a8f2' 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-ebb072a6-8edb-4a25-b3be-71b922eabf72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebb072a6-8edb-4a25-b3be-71b922eabf72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09f43c97-03b5-4651-840b-c8e5d62cc247' class='xr-var-data-in' type='checkbox'><label for='data-09f43c97-03b5-4651-840b-c8e5d62cc247' 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-55da72d5-0f1f-4bef-9e2b-8f0978991fe9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-55da72d5-0f1f-4bef-9e2b-8f0978991fe9' 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": 5,
     "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": 6,
   "id": "800e4d90",
   "metadata": {},
   "outputs": [
    {
     "data": {
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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: 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 19980101 19980201 19980301 ... 20081101 20081201\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b08f05f4-0f8c-43db-adc2-44da48c75023' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b08f05f4-0f8c-43db-adc2-44da48c75023' 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-3ebb8051-b9d0-4e10-b94c-4714b4b47dee' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3ebb8051-b9d0-4e10-b94c-4714b4b47dee' 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-57164969-6670-481e-930b-a18f031c69bf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-57164969-6670-481e-930b-a18f031c69bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdaf86d8-7996-40b9-bec2-b2c291e2a081' class='xr-var-data-in' type='checkbox'><label for='data-cdaf86d8-7996-40b9-bec2-b2c291e2a081' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-01-01T00:00:00.000000000&#x27;, &#x27;1998-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-03-01T00:00:00.000000000&#x27;, &#x27;1998-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-05-01T00:00:00.000000000&#x27;, &#x27;1998-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-07-01T00:00:00.000000000&#x27;, &#x27;1998-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-09-01T00:00:00.000000000&#x27;, &#x27;1998-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-11-01T00:00:00.000000000&#x27;, &#x27;1998-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-01-01T00:00:00.000000000&#x27;, &#x27;1999-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-03-01T00:00:00.000000000&#x27;, &#x27;1999-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-05-01T00:00:00.000000000&#x27;, &#x27;1999-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-07-01T00:00:00.000000000&#x27;, &#x27;1999-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-09-01T00:00:00.000000000&#x27;, &#x27;1999-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-11-01T00:00:00.000000000&#x27;, &#x27;1999-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-03-01T00:00:00.000000000&#x27;, &#x27;2000-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-05-01T00:00:00.000000000&#x27;, &#x27;2000-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-07-01T00:00:00.000000000&#x27;, &#x27;2000-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-09-01T00:00:00.000000000&#x27;, &#x27;2000-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-11-01T00:00:00.000000000&#x27;, &#x27;2000-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-01-01T00:00:00.000000000&#x27;, &#x27;2001-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-03-01T00:00:00.000000000&#x27;, &#x27;2001-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-05-01T00:00:00.000000000&#x27;, &#x27;2001-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-07-01T00:00:00.000000000&#x27;, &#x27;2001-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-09-01T00:00:00.000000000&#x27;, &#x27;2001-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-11-01T00:00:00.000000000&#x27;, &#x27;2001-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-01-01T00:00:00.000000000&#x27;, &#x27;2002-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-03-01T00:00:00.000000000&#x27;, &#x27;2002-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-05-01T00:00:00.000000000&#x27;, &#x27;2002-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-07-01T00:00:00.000000000&#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-8bc816bf-2d26-42d9-8e83-97a84b33daca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8bc816bf-2d26-42d9-8e83-97a84b33daca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62b61a72-c8a1-4228-8019-33947d142dff' class='xr-var-data-in' type='checkbox'><label for='data-62b61a72-c8a1-4228-8019-33947d142dff' 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-8c4e1705-2673-43ab-87b9-a127abdece23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c4e1705-2673-43ab-87b9-a127abdece23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97d53358-9b76-450b-99f8-364d7d8fc577' class='xr-var-data-in' type='checkbox'><label for='data-97d53358-9b76-450b-99f8-364d7d8fc577' 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-925f882f-c209-475c-b19e-73b015b5ac28' class='xr-section-summary-in' type='checkbox'  checked><label for='section-925f882f-c209-475c-b19e-73b015b5ac28' 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'>19980101 19980201 ... 20081201</div><input id='attrs-a54f3c45-ca51-4590-8ab4-4f3986c16a5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a54f3c45-ca51-4590-8ab4-4f3986c16a5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f874d39-df0a-4f80-9ddd-206c4daa9909' class='xr-var-data-in' type='checkbox'><label for='data-3f874d39-df0a-4f80-9ddd-206c4daa9909' 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'>1 days 1 days ... 1 days 1 days</div><input id='attrs-c0717940-d0a0-45db-a1f6-fe5954550614' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0717940-d0a0-45db-a1f6-fe5954550614' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee38dbd0-131e-4417-9fe4-7c33ef7dfd2f' class='xr-var-data-in' type='checkbox'><label for='data-ee38dbd0-131e-4417-9fe4-7c33ef7dfd2f' 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-f4cb22d5-f8c1-4dcf-aff9-78dc3793f2af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4cb22d5-f8c1-4dcf-aff9-78dc3793f2af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1476df9-eacf-4687-b449-be5605698c9a' class='xr-var-data-in' type='checkbox'><label for='data-a1476df9-eacf-4687-b449-be5605698c9a' 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-fb26ece8-e151-4d75-8e50-8433113512ad' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fb26ece8-e151-4d75-8e50-8433113512ad' 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 19980101 19980201 19980301 ... 20081101 20081201\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1981-01-16T12:00:00.000000000','2015-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "735515f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.latitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "fd310367",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.longitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2a9644bb",
   "metadata": {},
   "outputs": [
    {
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       "  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: 132, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-01-01 1998-02-01 ... 2008-12-01\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 19980101 19980201 19980301 ... 20081101 20081201\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-74ba47b0-1894-4aae-98ed-51015bcbc814' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-74ba47b0-1894-4aae-98ed-51015bcbc814' 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>: 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-bca58a80-ce3f-4887-8e3f-7b07324ff08d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bca58a80-ce3f-4887-8e3f-7b07324ff08d' 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-c0b12fd9-db83-48c4-b489-8657c583c5ee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c0b12fd9-db83-48c4-b489-8657c583c5ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3360425e-c60b-4c18-bf23-ff889de89333' class='xr-var-data-in' type='checkbox'><label for='data-3360425e-c60b-4c18-bf23-ff889de89333' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-01-01T00:00:00.000000000&#x27;, &#x27;1998-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-03-01T00:00:00.000000000&#x27;, &#x27;1998-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-05-01T00:00:00.000000000&#x27;, &#x27;1998-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-07-01T00:00:00.000000000&#x27;, &#x27;1998-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-09-01T00:00:00.000000000&#x27;, &#x27;1998-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-11-01T00:00:00.000000000&#x27;, &#x27;1998-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-01-01T00:00:00.000000000&#x27;, &#x27;1999-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-03-01T00:00:00.000000000&#x27;, &#x27;1999-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-05-01T00:00:00.000000000&#x27;, &#x27;1999-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-07-01T00:00:00.000000000&#x27;, &#x27;1999-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-09-01T00:00:00.000000000&#x27;, &#x27;1999-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-11-01T00:00:00.000000000&#x27;, &#x27;1999-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-03-01T00:00:00.000000000&#x27;, &#x27;2000-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-05-01T00:00:00.000000000&#x27;, &#x27;2000-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-07-01T00:00:00.000000000&#x27;, &#x27;2000-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-09-01T00:00:00.000000000&#x27;, &#x27;2000-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-11-01T00:00:00.000000000&#x27;, &#x27;2000-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-01-01T00:00:00.000000000&#x27;, &#x27;2001-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-03-01T00:00:00.000000000&#x27;, &#x27;2001-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-05-01T00:00:00.000000000&#x27;, &#x27;2001-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-07-01T00:00:00.000000000&#x27;, &#x27;2001-08-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-09-01T00:00:00.000000000&#x27;, &#x27;2001-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-11-01T00:00:00.000000000&#x27;, &#x27;2001-12-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-01-01T00:00:00.000000000&#x27;, &#x27;2002-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-03-01T00:00:00.000000000&#x27;, &#x27;2002-04-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-05-01T00:00:00.000000000&#x27;, &#x27;2002-06-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-07-01T00:00:00.000000000&#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'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-d0022a23-be40-48bd-87e4-f33d610c1405' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0022a23-be40-48bd-87e4-f33d610c1405' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82ca6e22-34c8-48e5-84ad-ec7be7deab12' class='xr-var-data-in' type='checkbox'><label for='data-82ca6e22-34c8-48e5-84ad-ec7be7deab12' 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-a0a8339b-2a27-4906-a904-554db8f5e223' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0a8339b-2a27-4906-a904-554db8f5e223' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24cb7237-e664-41df-8d63-46a9aab70fce' class='xr-var-data-in' type='checkbox'><label for='data-24cb7237-e664-41df-8d63-46a9aab70fce' 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-a67acd11-68bc-4556-be3e-788f1e6abaeb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a67acd11-68bc-4556-be3e-788f1e6abaeb' 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'>19980101 19980201 ... 20081201</div><input id='attrs-2d8a4b89-c2eb-4e45-a861-e77b971d79da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d8a4b89-c2eb-4e45-a861-e77b971d79da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b26d219b-a4ea-4af4-9c90-2ab7de5f53c4' class='xr-var-data-in' type='checkbox'><label for='data-b26d219b-a4ea-4af4-9c90-2ab7de5f53c4' 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'>1 days 1 days ... 1 days 1 days</div><input id='attrs-eda487d7-7388-40eb-82f7-4bdbfa04fd87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eda487d7-7388-40eb-82f7-4bdbfa04fd87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94663b86-9f95-4e1b-a6ba-2575808bf712' class='xr-var-data-in' type='checkbox'><label for='data-94663b86-9f95-4e1b-a6ba-2575808bf712' 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-dc67c495-eff7-4577-bc18-521608c36301' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc67c495-eff7-4577-bc18-521608c36301' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac66074a-4fa1-4100-be91-5c3fb9dc3733' class='xr-var-data-in' type='checkbox'><label for='data-ac66074a-4fa1-4100-be91-5c3fb9dc3733' 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>[168960 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0c8fc572-ddaa-484d-8033-5e4fa15078c6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0c8fc572-ddaa-484d-8033-5e4fa15078c6' 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: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-01-01 1998-02-01 ... 2008-12-01\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 19980101 19980201 19980301 ... 20081101 20081201\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the x and y coordinates\n",
    "data = data.sel(lon=slice(86,94),lat=slice(18,28))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "91600dec",
   "metadata": {},
   "outputs": [],
   "source": [
    "#interpolating to low resolution \n",
    "#new_lon=np.arange(86,94,0.5625)\n",
    "#new_lat=np.arange(17,28,.556914)\n",
    "#jjas_data = jjas_data.interp(longitude=new_lon,latitude=new_lat)\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "82d6b5d0",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[0.18204501, 0.17989348, 0.18278594, ..., 0.36554685, 0.35288218,\n",
       "        0.25938588],\n",
       "       [0.1795654 , 0.18404073, 0.18652156, ..., 0.33420184, 0.33969536,\n",
       "        0.26685908],\n",
       "       [0.17987522, 0.18604836, 0.19207878, ..., 0.3089237 , 0.25276253,\n",
       "        0.2552258 ],\n",
       "       ...,\n",
       "       [0.12586464, 0.1191561 , 0.11421067, ..., 0.16308498, 0.1683504 ,\n",
       "        0.18998685],\n",
       "       [0.12961452, 0.11912241, 0.10640071, ..., 0.15158786, 0.15219954,\n",
       "        0.16319409],\n",
       "       [0.11771316, 0.10536724, 0.0892969 , ..., 0.1503942 , 0.15795287,\n",
       "        0.15637131]], 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-593ae20f-415a-42e5-bd65-50b0d78d5194' class='xr-array-in' type='checkbox' checked><label for='section-593ae20f-415a-42e5-bd65-50b0d78d5194' 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>0.182 0.1799 0.1828 0.1879 0.1956 ... 0.1189 0.14 0.1504 0.158 0.1564</span></div><div class='xr-array-data'><pre>array([[0.18204501, 0.17989348, 0.18278594, ..., 0.36554685, 0.35288218,\n",
       "        0.25938588],\n",
       "       [0.1795654 , 0.18404073, 0.18652156, ..., 0.33420184, 0.33969536,\n",
       "        0.26685908],\n",
       "       [0.17987522, 0.18604836, 0.19207878, ..., 0.3089237 , 0.25276253,\n",
       "        0.2552258 ],\n",
       "       ...,\n",
       "       [0.12586464, 0.1191561 , 0.11421067, ..., 0.16308498, 0.1683504 ,\n",
       "        0.18998685],\n",
       "       [0.12961452, 0.11912241, 0.10640071, ..., 0.15158786, 0.15219954,\n",
       "        0.16319409],\n",
       "       [0.11771316, 0.10536724, 0.0892969 , ..., 0.1503942 , 0.15795287,\n",
       "        0.15637131]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-98000704-813a-469c-bf18-d1ea1722aeaa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-98000704-813a-469c-bf18-d1ea1722aeaa' 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-5b4a630a-8cea-4963-a24d-91e03080786a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b4a630a-8cea-4963-a24d-91e03080786a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a47cbc1-f80f-4e21-9086-b09ab2e42b46' class='xr-var-data-in' type='checkbox'><label for='data-1a47cbc1-f80f-4e21-9086-b09ab2e42b46' 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-9aa0a083-ede9-4c4a-a42d-b38786a5e99c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9aa0a083-ede9-4c4a-a42d-b38786a5e99c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3b8aea9-18be-458a-81a8-fba3409f6181' class='xr-var-data-in' type='checkbox'><label for='data-e3b8aea9-18be-458a-81a8-fba3409f6181' 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-b47c0010-73db-47d5-b56f-4f1e763cc4da' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b47c0010-73db-47d5-b56f-4f1e763cc4da' 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([[0.18204501, 0.17989348, 0.18278594, ..., 0.36554685, 0.35288218,\n",
       "        0.25938588],\n",
       "       [0.1795654 , 0.18404073, 0.18652156, ..., 0.33420184, 0.33969536,\n",
       "        0.26685908],\n",
       "       [0.17987522, 0.18604836, 0.19207878, ..., 0.3089237 , 0.25276253,\n",
       "        0.2552258 ],\n",
       "       ...,\n",
       "       [0.12586464, 0.1191561 , 0.11421067, ..., 0.16308498, 0.1683504 ,\n",
       "        0.18998685],\n",
       "       [0.12961452, 0.11912241, 0.10640071, ..., 0.15158786, 0.15219954,\n",
       "        0.16319409],\n",
       "       [0.11771316, 0.10536724, 0.0892969 , ..., 0.1503942 , 0.15795287,\n",
       "        0.15637131]], 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": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "data_mean = data.precip.mean('time')\n",
    " \n",
    "data_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6d00cba7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#changing unit from mm/month to mm/day\n",
    "trmm = data_mean*24\n",
    "\n",
    "\n",
    "trmm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b6d9b2b3",
   "metadata": {},
   "outputs": [
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       "  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: 467, bnds: 2, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1979-01-16T12:00:00 ... 2017-11-16\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1979-01-01 1979-02-01 ... 2017-12-01\n",
       "    crs        |S1 b&#x27;&#x27;\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jun 29 14:46:35 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-19db8dd9-6065-4418-be0b-d43b73ecc75d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-19db8dd9-6065-4418-be0b-d43b73ecc75d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 467</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c903e0c7-e2f0-4d34-b1cb-d6c38d52f15a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c903e0c7-e2f0-4d34-b1cb-d6c38d52f15a' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-16T12:00:00 ... 2017-11-16</div><input id='attrs-2a65ab8f-74d2-41ea-9c2a-bcc33f21512d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a65ab8f-74d2-41ea-9c2a-bcc33f21512d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1aa31080-bc27-4f58-9700-83664c9bbabc' class='xr-var-data-in' type='checkbox'><label for='data-1aa31080-bc27-4f58-9700-83664c9bbabc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1979-01-16T12:00:00.000000000&#x27;, &#x27;1979-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1979-03-16T12:00:00.000000000&#x27;, ..., &#x27;2017-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-10-16T12:00:00.000000000&#x27;, &#x27;2017-11-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5b72db97-55af-4af2-aac9-b47b2f9ae8b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b72db97-55af-4af2-aac9-b47b2f9ae8b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-958f1cd6-3f3f-4247-8bf0-349d0c378f86' class='xr-var-data-in' type='checkbox'><label for='data-958f1cd6-3f3f-4247-8bf0-349d0c378f86' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-23f3dd0f-9bf7-4635-b41d-a455fc9f5168' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23f3dd0f-9bf7-4635-b41d-a455fc9f5168' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2df1310f-d839-436f-9d8a-8acfc7389a02' class='xr-var-data-in' type='checkbox'><label for='data-2df1310f-d839-436f-9d8a-8acfc7389a02' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-8ff8ffd1-34e4-41d0-9faf-403cc75006de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ff8ffd1-34e4-41d0-9faf-403cc75006de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a0512a1-d8c9-479d-afff-b970101bf830' class='xr-var-data-in' type='checkbox'><label for='data-7a0512a1-d8c9-479d-afff-b970101bf830' 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-052f98a4-ef72-4ecb-a1fd-8473c82ef38f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-052f98a4-ef72-4ecb-a1fd-8473c82ef38f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c149e9f-7575-4ce6-9e39-784b178682c7' class='xr-var-data-in' type='checkbox'><label for='data-4c149e9f-7575-4ce6-9e39-784b178682c7' 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9aa56dd8-c27a-4bc0-8f85-8efabd809200' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9aa56dd8-c27a-4bc0-8f85-8efabd809200' 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>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-b970b630-c817-4e84-abf6-5ab2f0c1e563' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b970b630-c817-4e84-abf6-5ab2f0c1e563' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2afeefd-afd3-4240-80fa-159eaf945984' class='xr-var-data-in' type='checkbox'><label for='data-b2afeefd-afd3-4240-80fa-159eaf945984' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[&#x27;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-02-01T00:00:00.000000000&#x27;, &#x27;1979-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-03-01T00:00:00.000000000&#x27;, &#x27;1979-04-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2017-09-01T00:00:00.000000000&#x27;, &#x27;2017-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2017-10-01T00:00:00.000000000&#x27;, &#x27;2017-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2017-11-01T00:00:00.000000000&#x27;, &#x27;2017-12-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f59aeb4a-6dea-480c-904d-bc76ae42d432' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f59aeb4a-6dea-480c-904d-bc76ae42d432' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e26145e-6902-4e25-82b5-5cd935acab28' class='xr-var-data-in' type='checkbox'><label for='data-4e26145e-6902-4e25-82b5-5cd935acab28' 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>proj4_params :</span></dt><dd>+proj=omerc +lat_0=13.00 +alpha=89.999999 +lonc=70.00 +x_0=-12500. +y_0=-12500. +ellps=sphere +a=6371229. +b=6371229. +units=m +no_defs</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>azimuth_of_central_line :</span></dt><dd>89.999999</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>scale_factor_at_projection_origin :</span></dt><dd>1.0</dd><dt><span>false_easting :</span></dt><dd>-12500.0</dd><dt><span>false_northing :</span></dt><dd>-12500.0</dd><dt><span>grid_mapping_name :</span></dt><dd>oblique_mercator</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;&#x27;, dtype=&#x27;|S1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-57538081-9c6a-4dd8-a505-52a9be1941ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57538081-9c6a-4dd8-a505-52a9be1941ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6346a20c-c1b5-4c40-99fe-dff41715300c' class='xr-var-data-in' type='checkbox'><label for='data-6346a20c-c1b5-4c40-99fe-dff41715300c' 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[67515591 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-64cf5a59-203e-4994-a651-185c0f994ecc' class='xr-section-summary-in' type='checkbox'  ><label for='section-64cf5a59-203e-4994-a651-185c0f994ecc' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Wed Jun 29 14:46:35 2022: cdo mergetime pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_197901-198012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-201012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_201101-201711.nc eraint_197901-201711.nc\n",
       "2018-02-13 16:42:58 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>International Centre for Theoretical Physics</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>EVALUATION</dd><dt><span>institute_id :</span></dt><dd>ICTP</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX India25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-12T15:13:03Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>none</dd><dt><span>contact :</span></dt><dd>esp@ictp.it</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>f1ed9934-3b9a-11e9-8719-0894ef50c218</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>EIN75</dd><dt><span>model_sst_data_source :</span></dt><dd>EIN75</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2016-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>evaluation</dd><dt><span>driving_experiment :</span></dt><dd>ECMWF-ERAINT, evaluation, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>ECMWF-ERAINT</dd><dt><span>driving_experiment_name :</span></dt><dd>evaluation</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 467, bnds: 2, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1979-01-16T12:00:00 ... 2017-11-16\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] ...\n",
       "    crs        |S1 ...\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jun 29 14:46:35 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#opening eraint data\n",
    "\n",
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/regcm driven by gcm/Era_intrim/eraint_197901-201711.nc')\n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "cafd5692",
   "metadata": {},
   "outputs": [
    {
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       "  --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: 419, bnds: 2, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 2015-11-16\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1981-01-01 1981-02-01 ... 2015-12-01\n",
       "    crs        |S1 b&#x27;&#x27;\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jun 29 14:46:35 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-df048618-2052-4ca1-982b-23e344562347' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-df048618-2052-4ca1-982b-23e344562347' 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>: 419</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 337</li><li><span class='xr-has-index'>x</span>: 429</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1cf1d25f-d341-4f18-b654-1dc21e1b3ae1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1cf1d25f-d341-4f18-b654-1dc21e1b3ae1' class='xr-section-summary' >Coordinates: <span>(5)</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'>1981-01-16T12:00:00 ... 2015-11-16</div><input id='attrs-93537b42-ab57-48f8-9397-7d6591fab2af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93537b42-ab57-48f8-9397-7d6591fab2af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2993cd9-aa0a-41c8-b66d-6e601cf84359' class='xr-var-data-in' type='checkbox'><label for='data-e2993cd9-aa0a-41c8-b66d-6e601cf84359' 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;1981-01-16T12:00:00.000000000&#x27;, &#x27;1981-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-03-16T12:00:00.000000000&#x27;, ..., &#x27;2015-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-10-16T12:00:00.000000000&#x27;, &#x27;2015-11-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b01c9081-1dbc-48c7-ac3f-0b0d628a0893' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b01c9081-1dbc-48c7-ac3f-0b0d628a0893' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2680aaba-ba07-4328-aaea-5a84abccbdee' class='xr-var-data-in' type='checkbox'><label for='data-2680aaba-ba07-4328-aaea-5a84abccbdee' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bb96e316-1871-4112-85ae-dc4b274f3a65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb96e316-1871-4112-85ae-dc4b274f3a65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44622835-0ed5-4658-bf69-6ad93eaadd4f' class='xr-var-data-in' type='checkbox'><label for='data-44622835-0ed5-4658-bf69-6ad93eaadd4f' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>[144573 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-5.35e+06 -5.325e+06 ... 5.35e+06</div><input id='attrs-b3c229ba-ceca-41ec-ae13-e3f578070538' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3c229ba-ceca-41ec-ae13-e3f578070538' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4abc951-7f48-426f-ab76-dd169ab58aea' class='xr-var-data-in' type='checkbox'><label for='data-d4abc951-7f48-426f-ab76-dd169ab58aea' 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-5350000., -5325000., -5300000., ...,  5300000.,  5325000.,  5350000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-4.2e+06 -4.175e+06 ... 4.2e+06</div><input id='attrs-4d96e53d-aedf-4940-8e59-4d3c522ded71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d96e53d-aedf-4940-8e59-4d3c522ded71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85ce7afc-57ab-4786-86bb-0e303dbe3a31' class='xr-var-data-in' type='checkbox'><label for='data-85ce7afc-57ab-4786-86bb-0e303dbe3a31' 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-4200000., -4175000., -4150000., ...,  4150000.,  4175000.,  4200000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6167a8b7-a594-438c-9d17-2dce311ec207' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6167a8b7-a594-438c-9d17-2dce311ec207' 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>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'>1981-01-01 ... 2015-12-01</div><input id='attrs-ede1ee5a-4b2f-46db-aa8a-059e3dd4c4a1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ede1ee5a-4b2f-46db-aa8a-059e3dd4c4a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-931cbcb5-b4ca-4bf5-acf6-b4f0ee221ea2' class='xr-var-data-in' type='checkbox'><label for='data-931cbcb5-b4ca-4bf5-acf6-b4f0ee221ea2' 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;1981-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-02-01T00:00:00.000000000&#x27;, &#x27;1981-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-03-01T00:00:00.000000000&#x27;, &#x27;1981-04-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2015-09-01T00:00:00.000000000&#x27;, &#x27;2015-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-10-01T00:00:00.000000000&#x27;, &#x27;2015-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-11-01T00:00:00.000000000&#x27;, &#x27;2015-12-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>b&#x27;&#x27;</div><input id='attrs-a9797fd8-ceb0-457b-91dc-bd2f316dfc82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9797fd8-ceb0-457b-91dc-bd2f316dfc82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02f0148f-9579-4fa5-a7b6-f66c76bc21d2' class='xr-var-data-in' type='checkbox'><label for='data-02f0148f-9579-4fa5-a7b6-f66c76bc21d2' 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>proj4_params :</span></dt><dd>+proj=omerc +lat_0=13.00 +alpha=89.999999 +lonc=70.00 +x_0=-12500. +y_0=-12500. +ellps=sphere +a=6371229. +b=6371229. +units=m +no_defs</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>azimuth_of_central_line :</span></dt><dd>89.999999</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>scale_factor_at_projection_origin :</span></dt><dd>1.0</dd><dt><span>false_easting :</span></dt><dd>-12500.0</dd><dt><span>false_northing :</span></dt><dd>-12500.0</dd><dt><span>grid_mapping_name :</span></dt><dd>oblique_mercator</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;&#x27;, dtype=&#x27;|S1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f816e904-714f-47a2-96b0-ed4b8656b9d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f816e904-714f-47a2-96b0-ed4b8656b9d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06eca8a6-9ba0-4b80-b425-a4eec5675c22' class='xr-var-data-in' type='checkbox'><label for='data-06eca8a6-9ba0-4b80-b425-a4eec5675c22' 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[60576087 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-128840bd-b01e-4120-8486-4d580ff9743b' class='xr-section-summary-in' type='checkbox'  ><label for='section-128840bd-b01e-4120-8486-4d580ff9743b' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Wed Jun 29 14:46:35 2022: cdo mergetime pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_197901-198012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-201012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_201101-201711.nc eraint_197901-201711.nc\n",
       "2018-02-13 16:42:58 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>International Centre for Theoretical Physics</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>EVALUATION</dd><dt><span>institute_id :</span></dt><dd>ICTP</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX India25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-12T15:13:03Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>none</dd><dt><span>contact :</span></dt><dd>esp@ictp.it</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>f1ed9934-3b9a-11e9-8719-0894ef50c218</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>EIN75</dd><dt><span>model_sst_data_source :</span></dt><dd>EIN75</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2016-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>evaluation</dd><dt><span>driving_experiment :</span></dt><dd>ECMWF-ERAINT, evaluation, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>ECMWF-ERAINT</dd><dt><span>driving_experiment_name :</span></dt><dd>evaluation</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 419, bnds: 2, y: 337, x: 429)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 2015-11-16\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 -5.35e+06 -5.325e+06 -5.3e+06 ... 5.325e+06 5.35e+06\n",
       "  * y          (y) float64 -4.2e+06 -4.175e+06 -4.15e+06 ... 4.175e+06 4.2e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1981-01-01 1981-02-01 ... 2015-12-01\n",
       "    crs        |S1 b''\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jun 29 14:46:35 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1981-01-16T12:00:00.000000000','2015-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "be94f5d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#jjas_data.x.values\n",
    "#jjas_data.y.values\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a41e4a60",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 419, bnds: 2, y: 88, x: 172)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 2015-11-16\n",
       "    lon        (y, x) float64 79.95 80.2 80.45 80.7 ... 125.0 125.3 125.5 125.8\n",
       "    lat        (y, x) float64 30.52 30.51 30.5 30.49 ... 43.36 43.31 43.27 43.23\n",
       "  * x          (x) float64 1e+06 1.025e+06 1.05e+06 ... 5.25e+06 5.275e+06\n",
       "  * y          (y) float64 2e+06 2.025e+06 2.05e+06 ... 4.15e+06 4.175e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1981-01-01 1981-02-01 ... 2015-12-01\n",
       "    crs        |S1 b&#x27;&#x27;\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jun 29 14:46:35 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c99d9b7f-9490-4a99-8d9d-ed2c079d1743' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c99d9b7f-9490-4a99-8d9d-ed2c079d1743' 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>: 419</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 88</li><li><span class='xr-has-index'>x</span>: 172</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-09cdea9a-d33f-4342-a8c6-a3d020d63e54' class='xr-section-summary-in' type='checkbox'  checked><label for='section-09cdea9a-d33f-4342-a8c6-a3d020d63e54' class='xr-section-summary' >Coordinates: <span>(5)</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'>1981-01-16T12:00:00 ... 2015-11-16</div><input id='attrs-5f61ca9b-b638-46e6-88a2-60b80901f382' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f61ca9b-b638-46e6-88a2-60b80901f382' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-396194bc-7dcb-4d3c-9ad8-8e71336598a6' class='xr-var-data-in' type='checkbox'><label for='data-396194bc-7dcb-4d3c-9ad8-8e71336598a6' 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;1981-01-16T12:00:00.000000000&#x27;, &#x27;1981-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-03-16T12:00:00.000000000&#x27;, ..., &#x27;2015-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-10-16T12:00:00.000000000&#x27;, &#x27;2015-11-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-850ab691-ae24-444e-8bb2-858841b23be2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-850ab691-ae24-444e-8bb2-858841b23be2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ecbe937-93f6-40e9-938c-6736a3045ba9' class='xr-var-data-in' type='checkbox'><label for='data-3ecbe937-93f6-40e9-938c-6736a3045ba9' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>array([[ 79.954628,  80.203041,  80.451416, ..., 120.963669, 121.198395,\n",
       "        121.433006],\n",
       "       [ 79.96479 ,  80.213455,  80.462082, ..., 121.00753 , 121.242378,\n",
       "        121.477119],\n",
       "       [ 79.974991,  80.2239  ,  80.472778, ..., 121.051491, 121.286469,\n",
       "        121.521339],\n",
       "       ...,\n",
       "       [ 80.970657,  81.243973,  81.517212, ..., 125.177139, 125.422981,\n",
       "        125.668625],\n",
       "       [ 80.984955,  81.258614,  81.532204, ..., 125.233971, 125.479942,\n",
       "        125.725716],\n",
       "       [ 80.999321,  81.273331,  81.547264, ..., 125.291   , 125.537109,\n",
       "        125.783012]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3a164901-775b-45d5-ad9c-7e6764f23fe7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a164901-775b-45d5-ad9c-7e6764f23fe7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18ec7e5d-537a-4dca-8f7d-999117faab1c' class='xr-var-data-in' type='checkbox'><label for='data-18ec7e5d-537a-4dca-8f7d-999117faab1c' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>array([[30.522102, 30.513252, 30.504185, ..., 26.256393, 26.217047, 26.177568],\n",
       "       [30.735977, 30.727118, 30.718042, ..., 26.46681 , 26.427439, 26.387936],\n",
       "       [30.949594, 30.940725, 30.931641, ..., 26.67696 , 26.637564, 26.598036],\n",
       "       ...,\n",
       "       [47.553165, 47.543423, 47.533443, ..., 42.955154, 42.913574, 42.871872],\n",
       "       [47.737442, 47.727684, 47.717693, ..., 43.134945, 43.093338, 43.051609],\n",
       "       [47.921299, 47.911533, 47.901527, ..., 43.314304, 43.272671, 43.230911]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+06 1.025e+06 ... 5.275e+06</div><input id='attrs-d5be03da-f5a1-452f-ba39-5b0246d61ee9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5be03da-f5a1-452f-ba39-5b0246d61ee9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f41666c4-fc23-4342-9c4b-5e002ea30e6b' class='xr-var-data-in' type='checkbox'><label for='data-f41666c4-fc23-4342-9c4b-5e002ea30e6b' 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([1000000., 1025000., 1050000., 1075000., 1100000., 1125000., 1150000.,\n",
       "       1175000., 1200000., 1225000., 1250000., 1275000., 1300000., 1325000.,\n",
       "       1350000., 1375000., 1400000., 1425000., 1450000., 1475000., 1500000.,\n",
       "       1525000., 1550000., 1575000., 1600000., 1625000., 1650000., 1675000.,\n",
       "       1700000., 1725000., 1750000., 1775000., 1800000., 1825000., 1850000.,\n",
       "       1875000., 1900000., 1925000., 1950000., 1975000., 2000000., 2025000.,\n",
       "       2050000., 2075000., 2100000., 2125000., 2150000., 2175000., 2200000.,\n",
       "       2225000., 2250000., 2275000., 2300000., 2325000., 2350000., 2375000.,\n",
       "       2400000., 2425000., 2450000., 2475000., 2500000., 2525000., 2550000.,\n",
       "       2575000., 2600000., 2625000., 2650000., 2675000., 2700000., 2725000.,\n",
       "       2750000., 2775000., 2800000., 2825000., 2850000., 2875000., 2900000.,\n",
       "       2925000., 2950000., 2975000., 3000000., 3025000., 3050000., 3075000.,\n",
       "       3100000., 3125000., 3150000., 3175000., 3200000., 3225000., 3250000.,\n",
       "       3275000., 3300000., 3325000., 3350000., 3375000., 3400000., 3425000.,\n",
       "       3450000., 3475000., 3500000., 3525000., 3550000., 3575000., 3600000.,\n",
       "       3625000., 3650000., 3675000., 3700000., 3725000., 3750000., 3775000.,\n",
       "       3800000., 3825000., 3850000., 3875000., 3900000., 3925000., 3950000.,\n",
       "       3975000., 4000000., 4025000., 4050000., 4075000., 4100000., 4125000.,\n",
       "       4150000., 4175000., 4200000., 4225000., 4250000., 4275000., 4300000.,\n",
       "       4325000., 4350000., 4375000., 4400000., 4425000., 4450000., 4475000.,\n",
       "       4500000., 4525000., 4550000., 4575000., 4600000., 4625000., 4650000.,\n",
       "       4675000., 4700000., 4725000., 4750000., 4775000., 4800000., 4825000.,\n",
       "       4850000., 4875000., 4900000., 4925000., 4950000., 4975000., 5000000.,\n",
       "       5025000., 5050000., 5075000., 5100000., 5125000., 5150000., 5175000.,\n",
       "       5200000., 5225000., 5250000., 5275000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2e+06 2.025e+06 ... 4.175e+06</div><input id='attrs-4673543c-a69c-4185-ac9e-6be33165e907' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4673543c-a69c-4185-ac9e-6be33165e907' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96aea6d7-3277-4111-8fa9-ce496e21fc4c' class='xr-var-data-in' type='checkbox'><label for='data-96aea6d7-3277-4111-8fa9-ce496e21fc4c' 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([2000000., 2025000., 2050000., 2075000., 2100000., 2125000., 2150000.,\n",
       "       2175000., 2200000., 2225000., 2250000., 2275000., 2300000., 2325000.,\n",
       "       2350000., 2375000., 2400000., 2425000., 2450000., 2475000., 2500000.,\n",
       "       2525000., 2550000., 2575000., 2600000., 2625000., 2650000., 2675000.,\n",
       "       2700000., 2725000., 2750000., 2775000., 2800000., 2825000., 2850000.,\n",
       "       2875000., 2900000., 2925000., 2950000., 2975000., 3000000., 3025000.,\n",
       "       3050000., 3075000., 3100000., 3125000., 3150000., 3175000., 3200000.,\n",
       "       3225000., 3250000., 3275000., 3300000., 3325000., 3350000., 3375000.,\n",
       "       3400000., 3425000., 3450000., 3475000., 3500000., 3525000., 3550000.,\n",
       "       3575000., 3600000., 3625000., 3650000., 3675000., 3700000., 3725000.,\n",
       "       3750000., 3775000., 3800000., 3825000., 3850000., 3875000., 3900000.,\n",
       "       3925000., 3950000., 3975000., 4000000., 4025000., 4050000., 4075000.,\n",
       "       4100000., 4125000., 4150000., 4175000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6ff1767c-5ae7-412a-937a-574184271dc1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6ff1767c-5ae7-412a-937a-574184271dc1' 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>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'>1981-01-01 ... 2015-12-01</div><input id='attrs-4c482cd6-3ac8-46e3-9fd7-11698c6243ed' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4c482cd6-3ac8-46e3-9fd7-11698c6243ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3a6ce18-33ef-4fae-a05c-20db5c996666' class='xr-var-data-in' type='checkbox'><label for='data-e3a6ce18-33ef-4fae-a05c-20db5c996666' 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;1981-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-02-01T00:00:00.000000000&#x27;, &#x27;1981-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1981-03-01T00:00:00.000000000&#x27;, &#x27;1981-04-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2015-09-01T00:00:00.000000000&#x27;, &#x27;2015-10-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-10-01T00:00:00.000000000&#x27;, &#x27;2015-11-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2015-11-01T00:00:00.000000000&#x27;, &#x27;2015-12-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>b&#x27;&#x27;</div><input id='attrs-94c4216d-9fe2-44d4-9373-1f8d999ed5ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94c4216d-9fe2-44d4-9373-1f8d999ed5ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9579f6b4-dcfa-467c-a233-b091b716f4db' class='xr-var-data-in' type='checkbox'><label for='data-9579f6b4-dcfa-467c-a233-b091b716f4db' 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>proj4_params :</span></dt><dd>+proj=omerc +lat_0=13.00 +alpha=89.999999 +lonc=70.00 +x_0=-12500. +y_0=-12500. +ellps=sphere +a=6371229. +b=6371229. +units=m +no_defs</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>azimuth_of_central_line :</span></dt><dd>89.999999</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>scale_factor_at_projection_origin :</span></dt><dd>1.0</dd><dt><span>false_easting :</span></dt><dd>-12500.0</dd><dt><span>false_northing :</span></dt><dd>-12500.0</dd><dt><span>grid_mapping_name :</span></dt><dd>oblique_mercator</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;&#x27;, dtype=&#x27;|S1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bfed6dcb-ee38-47d7-9d49-6fad2f2bc010' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bfed6dcb-ee38-47d7-9d49-6fad2f2bc010' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68b01295-697f-44aa-b7ff-566f164bd54a' class='xr-var-data-in' type='checkbox'><label for='data-68b01295-697f-44aa-b7ff-566f164bd54a' 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[6341984 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c13d3813-288b-44ec-821c-15b209c55009' class='xr-section-summary-in' type='checkbox'  ><label for='section-c13d3813-288b-44ec-821c-15b209c55009' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Wed Jun 29 14:46:35 2022: cdo mergetime pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_197901-198012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-201012.nc pr_WAS-22_ECMWF-ERAINT_evaluation_r1i1p1_ICTP-RegCM4-7_v0_mon_201101-201711.nc eraint_197901-201711.nc\n",
       "2018-02-13 16:42:58 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>International Centre for Theoretical Physics</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>EVALUATION</dd><dt><span>institute_id :</span></dt><dd>ICTP</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX India25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-12T15:13:03Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>none</dd><dt><span>contact :</span></dt><dd>esp@ictp.it</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>f1ed9934-3b9a-11e9-8719-0894ef50c218</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>EIN75</dd><dt><span>model_sst_data_source :</span></dt><dd>EIN75</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1979-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 2016-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>evaluation</dd><dt><span>driving_experiment :</span></dt><dd>ECMWF-ERAINT, evaluation, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>ECMWF-ERAINT</dd><dt><span>driving_experiment_name :</span></dt><dd>evaluation</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 419, bnds: 2, y: 88, x: 172)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 2015-11-16\n",
       "    lon        (y, x) float64 ...\n",
       "    lat        (y, x) float64 ...\n",
       "  * x          (x) float64 1e+06 1.025e+06 1.05e+06 ... 5.25e+06 5.275e+06\n",
       "  * y          (y) float64 2e+06 2.025e+06 2.05e+06 ... 4.15e+06 4.175e+06\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) datetime64[ns] 1981-01-01 1981-02-01 ... 2015-12-01\n",
       "    crs        |S1 b''\n",
       "    pr         (time, y, x) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Wed Jun 29 14:46:35 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     International Centre for...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   evaluation\n",
       "    driving_experiment:                              ECMWF-ERAINT, evaluation...\n",
       "    driving_model_id:                                ECMWF-ERAINT\n",
       "    driving_experiment_name:                         evaluation\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the x and y coordinates\n",
    "data = data.sel(x=slice(1000000.,5275000.),y=slice(2000000.,4175000.))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "18269e45",
   "metadata": {},
   "outputs": [
    {
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       "        3.4282933e-05, 3.6154266e-05],\n",
       "       ...,\n",
       "       [1.7298176e-05, 1.5620559e-05, 1.3224226e-05, ..., 2.3562658e-05,\n",
       "        2.6225476e-05, 3.0178180e-05],\n",
       "       [1.8899347e-05, 1.7406970e-05, 1.4956864e-05, ..., 2.6819176e-05,\n",
       "        2.8203263e-05, 3.0858042e-05],\n",
       "       [2.0790541e-05, 2.0011399e-05, 1.8685814e-05, ..., 2.9810357e-05,\n",
       "        3.1152042e-05, 3.4056728e-05]], dtype=float32)\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 79.95 80.2 80.45 80.7 ... 125.0 125.3 125.5 125.8\n",
       "    lat      (y, x) float64 30.52 30.51 30.5 30.49 ... 43.36 43.31 43.27 43.23\n",
       "  * x        (x) float64 1e+06 1.025e+06 1.05e+06 ... 5.25e+06 5.275e+06\n",
       "  * y        (y) float64 2e+06 2.025e+06 2.05e+06 ... 4.15e+06 4.175e+06</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'>y</span>: 88</li><li><span class='xr-has-index'>x</span>: 172</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-01661146-0cff-4b10-89d9-6dc3fa23150f' class='xr-array-in' type='checkbox' checked><label for='section-01661146-0cff-4b10-89d9-6dc3fa23150f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>8.771e-05 0.0001117 0.0001035 ... 2.981e-05 3.115e-05 3.406e-05</span></div><div class='xr-array-data'><pre>array([[8.7710228e-05, 1.1170728e-04, 1.0345087e-04, ..., 2.5863337e-05,\n",
       "        2.6572303e-05, 2.9189203e-05],\n",
       "       [5.2273379e-05, 3.9399369e-05, 3.0392071e-05, ..., 2.9434945e-05,\n",
       "        2.9295179e-05, 3.1212356e-05],\n",
       "       [2.8170938e-05, 2.3075920e-05, 2.2742137e-05, ..., 3.4064622e-05,\n",
       "        3.4282933e-05, 3.6154266e-05],\n",
       "       ...,\n",
       "       [1.7298176e-05, 1.5620559e-05, 1.3224226e-05, ..., 2.3562658e-05,\n",
       "        2.6225476e-05, 3.0178180e-05],\n",
       "       [1.8899347e-05, 1.7406970e-05, 1.4956864e-05, ..., 2.6819176e-05,\n",
       "        2.8203263e-05, 3.0858042e-05],\n",
       "       [2.0790541e-05, 2.0011399e-05, 1.8685814e-05, ..., 2.9810357e-05,\n",
       "        3.1152042e-05, 3.4056728e-05]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-aacafe70-2238-4bae-8e34-e8229941303e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-aacafe70-2238-4bae-8e34-e8229941303e' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>79.95 80.2 80.45 ... 125.5 125.8</div><input id='attrs-2f5b3494-ddf5-4cfc-840b-dd5c3e26f6f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f5b3494-ddf5-4cfc-840b-dd5c3e26f6f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba87887f-20c9-4ef9-b3af-f310049c28ec' class='xr-var-data-in' type='checkbox'><label for='data-ba87887f-20c9-4ef9-b3af-f310049c28ec' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>array([[ 79.954628,  80.203041,  80.451416, ..., 120.963669, 121.198395,\n",
       "        121.433006],\n",
       "       [ 79.96479 ,  80.213455,  80.462082, ..., 121.00753 , 121.242378,\n",
       "        121.477119],\n",
       "       [ 79.974991,  80.2239  ,  80.472778, ..., 121.051491, 121.286469,\n",
       "        121.521339],\n",
       "       ...,\n",
       "       [ 80.970657,  81.243973,  81.517212, ..., 125.177139, 125.422981,\n",
       "        125.668625],\n",
       "       [ 80.984955,  81.258614,  81.532204, ..., 125.233971, 125.479942,\n",
       "        125.725716],\n",
       "       [ 80.999321,  81.273331,  81.547264, ..., 125.291   , 125.537109,\n",
       "        125.783012]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>30.52 30.51 30.5 ... 43.27 43.23</div><input id='attrs-37b2e470-7464-4d2d-8211-25fe8607b875' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37b2e470-7464-4d2d-8211-25fe8607b875' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d46344d-cf3a-4655-a823-8818a239dfb8' class='xr-var-data-in' type='checkbox'><label for='data-7d46344d-cf3a-4655-a823-8818a239dfb8' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>array([[30.522102, 30.513252, 30.504185, ..., 26.256393, 26.217047, 26.177568],\n",
       "       [30.735977, 30.727118, 30.718042, ..., 26.46681 , 26.427439, 26.387936],\n",
       "       [30.949594, 30.940725, 30.931641, ..., 26.67696 , 26.637564, 26.598036],\n",
       "       ...,\n",
       "       [47.553165, 47.543423, 47.533443, ..., 42.955154, 42.913574, 42.871872],\n",
       "       [47.737442, 47.727684, 47.717693, ..., 43.134945, 43.093338, 43.051609],\n",
       "       [47.921299, 47.911533, 47.901527, ..., 43.314304, 43.272671, 43.230911]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+06 1.025e+06 ... 5.275e+06</div><input id='attrs-c98899b9-0a6d-477f-96a0-6eb03e1987fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c98899b9-0a6d-477f-96a0-6eb03e1987fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ade94f37-8772-4a84-9126-3437a6d48131' class='xr-var-data-in' type='checkbox'><label for='data-ade94f37-8772-4a84-9126-3437a6d48131' 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([1000000., 1025000., 1050000., 1075000., 1100000., 1125000., 1150000.,\n",
       "       1175000., 1200000., 1225000., 1250000., 1275000., 1300000., 1325000.,\n",
       "       1350000., 1375000., 1400000., 1425000., 1450000., 1475000., 1500000.,\n",
       "       1525000., 1550000., 1575000., 1600000., 1625000., 1650000., 1675000.,\n",
       "       1700000., 1725000., 1750000., 1775000., 1800000., 1825000., 1850000.,\n",
       "       1875000., 1900000., 1925000., 1950000., 1975000., 2000000., 2025000.,\n",
       "       2050000., 2075000., 2100000., 2125000., 2150000., 2175000., 2200000.,\n",
       "       2225000., 2250000., 2275000., 2300000., 2325000., 2350000., 2375000.,\n",
       "       2400000., 2425000., 2450000., 2475000., 2500000., 2525000., 2550000.,\n",
       "       2575000., 2600000., 2625000., 2650000., 2675000., 2700000., 2725000.,\n",
       "       2750000., 2775000., 2800000., 2825000., 2850000., 2875000., 2900000.,\n",
       "       2925000., 2950000., 2975000., 3000000., 3025000., 3050000., 3075000.,\n",
       "       3100000., 3125000., 3150000., 3175000., 3200000., 3225000., 3250000.,\n",
       "       3275000., 3300000., 3325000., 3350000., 3375000., 3400000., 3425000.,\n",
       "       3450000., 3475000., 3500000., 3525000., 3550000., 3575000., 3600000.,\n",
       "       3625000., 3650000., 3675000., 3700000., 3725000., 3750000., 3775000.,\n",
       "       3800000., 3825000., 3850000., 3875000., 3900000., 3925000., 3950000.,\n",
       "       3975000., 4000000., 4025000., 4050000., 4075000., 4100000., 4125000.,\n",
       "       4150000., 4175000., 4200000., 4225000., 4250000., 4275000., 4300000.,\n",
       "       4325000., 4350000., 4375000., 4400000., 4425000., 4450000., 4475000.,\n",
       "       4500000., 4525000., 4550000., 4575000., 4600000., 4625000., 4650000.,\n",
       "       4675000., 4700000., 4725000., 4750000., 4775000., 4800000., 4825000.,\n",
       "       4850000., 4875000., 4900000., 4925000., 4950000., 4975000., 5000000.,\n",
       "       5025000., 5050000., 5075000., 5100000., 5125000., 5150000., 5175000.,\n",
       "       5200000., 5225000., 5250000., 5275000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2e+06 2.025e+06 ... 4.175e+06</div><input id='attrs-3fffbcc2-c3bc-4a6e-a8a9-7e81fc96ea34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fffbcc2-c3bc-4a6e-a8a9-7e81fc96ea34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f73485e-8ffd-42aa-abb6-e2b86050c399' class='xr-var-data-in' type='checkbox'><label for='data-3f73485e-8ffd-42aa-abb6-e2b86050c399' 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([2000000., 2025000., 2050000., 2075000., 2100000., 2125000., 2150000.,\n",
       "       2175000., 2200000., 2225000., 2250000., 2275000., 2300000., 2325000.,\n",
       "       2350000., 2375000., 2400000., 2425000., 2450000., 2475000., 2500000.,\n",
       "       2525000., 2550000., 2575000., 2600000., 2625000., 2650000., 2675000.,\n",
       "       2700000., 2725000., 2750000., 2775000., 2800000., 2825000., 2850000.,\n",
       "       2875000., 2900000., 2925000., 2950000., 2975000., 3000000., 3025000.,\n",
       "       3050000., 3075000., 3100000., 3125000., 3150000., 3175000., 3200000.,\n",
       "       3225000., 3250000., 3275000., 3300000., 3325000., 3350000., 3375000.,\n",
       "       3400000., 3425000., 3450000., 3475000., 3500000., 3525000., 3550000.,\n",
       "       3575000., 3600000., 3625000., 3650000., 3675000., 3700000., 3725000.,\n",
       "       3750000., 3775000., 3800000., 3825000., 3850000., 3875000., 3900000.,\n",
       "       3925000., 3950000., 3975000., 4000000., 4025000., 4050000., 4075000.,\n",
       "       4100000., 4125000., 4150000., 4175000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b8571ab9-aa75-461b-8ca8-713f06de4a32' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b8571ab9-aa75-461b-8ca8-713f06de4a32' 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' (y: 88, x: 172)>\n",
       "array([[8.7710228e-05, 1.1170728e-04, 1.0345087e-04, ..., 2.5863337e-05,\n",
       "        2.6572303e-05, 2.9189203e-05],\n",
       "       [5.2273379e-05, 3.9399369e-05, 3.0392071e-05, ..., 2.9434945e-05,\n",
       "        2.9295179e-05, 3.1212356e-05],\n",
       "       [2.8170938e-05, 2.3075920e-05, 2.2742137e-05, ..., 3.4064622e-05,\n",
       "        3.4282933e-05, 3.6154266e-05],\n",
       "       ...,\n",
       "       [1.7298176e-05, 1.5620559e-05, 1.3224226e-05, ..., 2.3562658e-05,\n",
       "        2.6225476e-05, 3.0178180e-05],\n",
       "       [1.8899347e-05, 1.7406970e-05, 1.4956864e-05, ..., 2.6819176e-05,\n",
       "        2.8203263e-05, 3.0858042e-05],\n",
       "       [2.0790541e-05, 2.0011399e-05, 1.8685814e-05, ..., 2.9810357e-05,\n",
       "        3.1152042e-05, 3.4056728e-05]], dtype=float32)\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 79.95 80.2 80.45 80.7 ... 125.0 125.3 125.5 125.8\n",
       "    lat      (y, x) float64 30.52 30.51 30.5 30.49 ... 43.36 43.31 43.27 43.23\n",
       "  * x        (x) float64 1e+06 1.025e+06 1.05e+06 ... 5.25e+06 5.275e+06\n",
       "  * y        (y) float64 2e+06 2.025e+06 2.05e+06 ... 4.15e+06 4.175e+06"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "data_mean = data.pr.mean('time')\n",
    " \n",
    "data_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6f88bd72",
   "metadata": {},
   "outputs": [
    {
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       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (y: 88, x: 172)&gt;\n",
       "array([[7.57816373, 9.65150921, 8.93815497, ..., 2.23459234, 2.29584697,\n",
       "        2.52194713],\n",
       "       [4.51641994, 3.40410545, 2.62587498, ..., 2.54317923, 2.53110347,\n",
       "        2.69674753],\n",
       "       [2.43396905, 1.99375946, 1.96492063, ..., 2.94318334, 2.96204545,\n",
       "        3.12372859],\n",
       "       ...,\n",
       "       [1.49456243, 1.34961628, 1.14257311, ..., 2.03581362, 2.26588114,\n",
       "        2.60739477],\n",
       "       [1.6329036 , 1.50396221, 1.29227306, ..., 2.31717682, 2.43676195,\n",
       "        2.66613483],\n",
       "       [1.79630278, 1.72898488, 1.61445435, ..., 2.57561483, 2.6915364 ,\n",
       "        2.94250126]])\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 79.95 80.2 80.45 80.7 ... 125.0 125.3 125.5 125.8\n",
       "    lat      (y, x) float64 30.52 30.51 30.5 30.49 ... 43.36 43.31 43.27 43.23\n",
       "  * x        (x) float64 1e+06 1.025e+06 1.05e+06 ... 5.25e+06 5.275e+06\n",
       "  * y        (y) float64 2e+06 2.025e+06 2.05e+06 ... 4.15e+06 4.175e+06</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'>y</span>: 88</li><li><span class='xr-has-index'>x</span>: 172</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b8c19d9e-189d-4521-b2c2-aa9de6dc0a17' class='xr-array-in' type='checkbox' checked><label for='section-b8c19d9e-189d-4521-b2c2-aa9de6dc0a17' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.578 9.652 8.938 6.294 3.846 2.765 ... 2.137 2.334 2.576 2.692 2.943</span></div><div class='xr-array-data'><pre>array([[7.57816373, 9.65150921, 8.93815497, ..., 2.23459234, 2.29584697,\n",
       "        2.52194713],\n",
       "       [4.51641994, 3.40410545, 2.62587498, ..., 2.54317923, 2.53110347,\n",
       "        2.69674753],\n",
       "       [2.43396905, 1.99375946, 1.96492063, ..., 2.94318334, 2.96204545,\n",
       "        3.12372859],\n",
       "       ...,\n",
       "       [1.49456243, 1.34961628, 1.14257311, ..., 2.03581362, 2.26588114,\n",
       "        2.60739477],\n",
       "       [1.6329036 , 1.50396221, 1.29227306, ..., 2.31717682, 2.43676195,\n",
       "        2.66613483],\n",
       "       [1.79630278, 1.72898488, 1.61445435, ..., 2.57561483, 2.6915364 ,\n",
       "        2.94250126]])</pre></div></div></li><li class='xr-section-item'><input id='section-97f9487c-1b53-40c4-8dab-9a0b113a44bb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-97f9487c-1b53-40c4-8dab-9a0b113a44bb' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>79.95 80.2 80.45 ... 125.5 125.8</div><input id='attrs-9385a755-fa43-4291-b03d-4414650499c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9385a755-fa43-4291-b03d-4414650499c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bd0c875-fbaa-4a44-83fd-b2d8ff1b84e1' class='xr-var-data-in' type='checkbox'><label for='data-8bd0c875-fbaa-4a44-83fd-b2d8ff1b84e1' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd></dl></div><div class='xr-var-data'><pre>array([[ 79.954628,  80.203041,  80.451416, ..., 120.963669, 121.198395,\n",
       "        121.433006],\n",
       "       [ 79.96479 ,  80.213455,  80.462082, ..., 121.00753 , 121.242378,\n",
       "        121.477119],\n",
       "       [ 79.974991,  80.2239  ,  80.472778, ..., 121.051491, 121.286469,\n",
       "        121.521339],\n",
       "       ...,\n",
       "       [ 80.970657,  81.243973,  81.517212, ..., 125.177139, 125.422981,\n",
       "        125.668625],\n",
       "       [ 80.984955,  81.258614,  81.532204, ..., 125.233971, 125.479942,\n",
       "        125.725716],\n",
       "       [ 80.999321,  81.273331,  81.547264, ..., 125.291   , 125.537109,\n",
       "        125.783012]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>30.52 30.51 30.5 ... 43.27 43.23</div><input id='attrs-275752a0-f31c-400c-ab60-57555e3e21af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-275752a0-f31c-400c-ab60-57555e3e21af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbadb9b0-8806-47a6-bdad-bc083e7daaac' class='xr-var-data-in' type='checkbox'><label for='data-dbadb9b0-8806-47a6-bdad-bc083e7daaac' 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 on Cross Points</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd></dl></div><div class='xr-var-data'><pre>array([[30.522102, 30.513252, 30.504185, ..., 26.256393, 26.217047, 26.177568],\n",
       "       [30.735977, 30.727118, 30.718042, ..., 26.46681 , 26.427439, 26.387936],\n",
       "       [30.949594, 30.940725, 30.931641, ..., 26.67696 , 26.637564, 26.598036],\n",
       "       ...,\n",
       "       [47.553165, 47.543423, 47.533443, ..., 42.955154, 42.913574, 42.871872],\n",
       "       [47.737442, 47.727684, 47.717693, ..., 43.134945, 43.093338, 43.051609],\n",
       "       [47.921299, 47.911533, 47.901527, ..., 43.314304, 43.272671, 43.230911]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+06 1.025e+06 ... 5.275e+06</div><input id='attrs-8dfa241b-be57-4717-b5a2-cc401af58357' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8dfa241b-be57-4717-b5a2-cc401af58357' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23ca50b2-705b-4218-89eb-2d71ed5216da' class='xr-var-data-in' type='checkbox'><label for='data-23ca50b2-705b-4218-89eb-2d71ed5216da' 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([1000000., 1025000., 1050000., 1075000., 1100000., 1125000., 1150000.,\n",
       "       1175000., 1200000., 1225000., 1250000., 1275000., 1300000., 1325000.,\n",
       "       1350000., 1375000., 1400000., 1425000., 1450000., 1475000., 1500000.,\n",
       "       1525000., 1550000., 1575000., 1600000., 1625000., 1650000., 1675000.,\n",
       "       1700000., 1725000., 1750000., 1775000., 1800000., 1825000., 1850000.,\n",
       "       1875000., 1900000., 1925000., 1950000., 1975000., 2000000., 2025000.,\n",
       "       2050000., 2075000., 2100000., 2125000., 2150000., 2175000., 2200000.,\n",
       "       2225000., 2250000., 2275000., 2300000., 2325000., 2350000., 2375000.,\n",
       "       2400000., 2425000., 2450000., 2475000., 2500000., 2525000., 2550000.,\n",
       "       2575000., 2600000., 2625000., 2650000., 2675000., 2700000., 2725000.,\n",
       "       2750000., 2775000., 2800000., 2825000., 2850000., 2875000., 2900000.,\n",
       "       2925000., 2950000., 2975000., 3000000., 3025000., 3050000., 3075000.,\n",
       "       3100000., 3125000., 3150000., 3175000., 3200000., 3225000., 3250000.,\n",
       "       3275000., 3300000., 3325000., 3350000., 3375000., 3400000., 3425000.,\n",
       "       3450000., 3475000., 3500000., 3525000., 3550000., 3575000., 3600000.,\n",
       "       3625000., 3650000., 3675000., 3700000., 3725000., 3750000., 3775000.,\n",
       "       3800000., 3825000., 3850000., 3875000., 3900000., 3925000., 3950000.,\n",
       "       3975000., 4000000., 4025000., 4050000., 4075000., 4100000., 4125000.,\n",
       "       4150000., 4175000., 4200000., 4225000., 4250000., 4275000., 4300000.,\n",
       "       4325000., 4350000., 4375000., 4400000., 4425000., 4450000., 4475000.,\n",
       "       4500000., 4525000., 4550000., 4575000., 4600000., 4625000., 4650000.,\n",
       "       4675000., 4700000., 4725000., 4750000., 4775000., 4800000., 4825000.,\n",
       "       4850000., 4875000., 4900000., 4925000., 4950000., 4975000., 5000000.,\n",
       "       5025000., 5050000., 5075000., 5100000., 5125000., 5150000., 5175000.,\n",
       "       5200000., 5225000., 5250000., 5275000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2e+06 2.025e+06 ... 4.175e+06</div><input id='attrs-64a86d22-778e-4272-87be-2069e2e3f588' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64a86d22-778e-4272-87be-2069e2e3f588' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b98c4de-5480-4356-a42c-678bbff3659a' class='xr-var-data-in' type='checkbox'><label for='data-9b98c4de-5480-4356-a42c-678bbff3659a' 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([2000000., 2025000., 2050000., 2075000., 2100000., 2125000., 2150000.,\n",
       "       2175000., 2200000., 2225000., 2250000., 2275000., 2300000., 2325000.,\n",
       "       2350000., 2375000., 2400000., 2425000., 2450000., 2475000., 2500000.,\n",
       "       2525000., 2550000., 2575000., 2600000., 2625000., 2650000., 2675000.,\n",
       "       2700000., 2725000., 2750000., 2775000., 2800000., 2825000., 2850000.,\n",
       "       2875000., 2900000., 2925000., 2950000., 2975000., 3000000., 3025000.,\n",
       "       3050000., 3075000., 3100000., 3125000., 3150000., 3175000., 3200000.,\n",
       "       3225000., 3250000., 3275000., 3300000., 3325000., 3350000., 3375000.,\n",
       "       3400000., 3425000., 3450000., 3475000., 3500000., 3525000., 3550000.,\n",
       "       3575000., 3600000., 3625000., 3650000., 3675000., 3700000., 3725000.,\n",
       "       3750000., 3775000., 3800000., 3825000., 3850000., 3875000., 3900000.,\n",
       "       3925000., 3950000., 3975000., 4000000., 4025000., 4050000., 4075000.,\n",
       "       4100000., 4125000., 4150000., 4175000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-de3ab405-1890-499e-bbe7-23155300ee76' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-de3ab405-1890-499e-bbe7-23155300ee76' 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' (y: 88, x: 172)>\n",
       "array([[7.57816373, 9.65150921, 8.93815497, ..., 2.23459234, 2.29584697,\n",
       "        2.52194713],\n",
       "       [4.51641994, 3.40410545, 2.62587498, ..., 2.54317923, 2.53110347,\n",
       "        2.69674753],\n",
       "       [2.43396905, 1.99375946, 1.96492063, ..., 2.94318334, 2.96204545,\n",
       "        3.12372859],\n",
       "       ...,\n",
       "       [1.49456243, 1.34961628, 1.14257311, ..., 2.03581362, 2.26588114,\n",
       "        2.60739477],\n",
       "       [1.6329036 , 1.50396221, 1.29227306, ..., 2.31717682, 2.43676195,\n",
       "        2.66613483],\n",
       "       [1.79630278, 1.72898488, 1.61445435, ..., 2.57561483, 2.6915364 ,\n",
       "        2.94250126]])\n",
       "Coordinates:\n",
       "    lon      (y, x) float64 79.95 80.2 80.45 80.7 ... 125.0 125.3 125.5 125.8\n",
       "    lat      (y, x) float64 30.52 30.51 30.5 30.49 ... 43.36 43.31 43.27 43.23\n",
       "  * x        (x) float64 1e+06 1.025e+06 1.05e+06 ... 5.25e+06 5.275e+06\n",
       "  * y        (y) float64 2e+06 2.025e+06 2.05e+06 ... 4.15e+06 4.175e+06"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eraint = data_mean*86400\n",
    "eraint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6c5c5811",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (y: 88, x: 172, lat: 40, lon: 32)&gt;\n",
       "array([[[[ 3.20908319e+00,  3.26072036e+00,  3.19130098e+00, ...,\n",
       "          -1.19496096e+00, -8.91008744e-01,  1.35290252e+00],\n",
       "         [ 3.26859437e+00,  3.16118633e+00,  3.10164606e+00, ...,\n",
       "          -4.42680726e-01, -5.74525246e-01,  1.17354547e+00],\n",
       "         [ 3.26115858e+00,  3.11300336e+00,  2.96827280e+00, ...,\n",
       "           1.63995376e-01,  1.51186334e+00,  1.45274412e+00],\n",
       "         ...,\n",
       "         [ 4.55741226e+00,  4.71841728e+00,  4.83710777e+00, ...,\n",
       "           3.66412412e+00,  3.53775417e+00,  3.01847898e+00],\n",
       "         [ 4.46741544e+00,  4.71922599e+00,  5.02454673e+00, ...,\n",
       "           3.94005500e+00,  3.92537486e+00,  3.66150557e+00],\n",
       "         [ 4.75304781e+00,  5.04934989e+00,  5.43503820e+00, ...,\n",
       "           3.96870290e+00,  3.78729474e+00,  3.82525217e+00]],\n",
       "\n",
       "        [[ 5.28242866e+00,  5.33406584e+00,  5.26464645e+00, ...,\n",
       "           8.78384512e-01,  1.18233673e+00,  3.42624800e+00],\n",
       "         [ 5.34193985e+00,  5.23453180e+00,  5.17499153e+00, ...,\n",
       "           1.63066475e+00,  1.49882023e+00,  3.24689094e+00],\n",
       "         [ 5.33450405e+00,  5.18634884e+00,  5.04161827e+00, ...,\n",
       "           2.23734085e+00,  3.58520881e+00,  3.52608959e+00],\n",
       "...\n",
       "         [-3.29215080e-01, -1.68210059e-01, -4.95195687e-02, ...,\n",
       "          -1.22250322e+00, -1.34887317e+00, -1.86814836e+00],\n",
       "         [-4.19211894e-01, -1.67401344e-01,  1.37919396e-01, ...,\n",
       "          -9.46572334e-01, -9.61252481e-01, -1.22512177e+00],\n",
       "         [-1.33579522e-01,  1.62722558e-01,  5.48410863e-01, ...,\n",
       "          -9.17924434e-01, -1.09933260e+00, -1.06137517e+00]],\n",
       "\n",
       "        [[-1.42657928e+00, -1.37494211e+00, -1.44436149e+00, ...,\n",
       "          -5.83062343e+00, -5.52667121e+00, -3.28275995e+00],\n",
       "         [-1.36706809e+00, -1.47447614e+00, -1.53401641e+00, ...,\n",
       "          -5.07834319e+00, -5.21018772e+00, -3.46211700e+00],\n",
       "         [-1.37450389e+00, -1.52265911e+00, -1.66738967e+00, ...,\n",
       "          -4.47166709e+00, -3.12379913e+00, -3.18291835e+00],\n",
       "         ...,\n",
       "         [-7.82502117e-02,  8.27548085e-02,  2.01445299e-01, ...,\n",
       "          -9.71538347e-01, -1.09790830e+00, -1.61718349e+00],\n",
       "         [-1.68247026e-01,  8.35635243e-02,  3.88884264e-01, ...,\n",
       "          -6.95607466e-01, -7.10287613e-01, -9.74156898e-01],\n",
       "         [ 1.17385346e-01,  4.13687426e-01,  7.99375731e-01, ...,\n",
       "          -6.66959566e-01, -8.48367733e-01, -8.10410303e-01]]]])\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\n",
       "  * x        (x) float64 1e+06 1.025e+06 1.05e+06 ... 5.25e+06 5.275e+06\n",
       "  * y        (y) float64 2e+06 2.025e+06 2.05e+06 ... 4.15e+06 4.175e+06</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'>y</span>: 88</li><li><span class='xr-has-index'>x</span>: 172</li><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-d36e6705-091b-4c22-bbdd-342b7802a267' class='xr-array-in' type='checkbox' checked><label for='section-d36e6705-091b-4c22-bbdd-342b7802a267' 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>3.209 3.261 3.191 3.067 2.883 ... -0.4165 -0.667 -0.8484 -0.8104</span></div><div class='xr-array-data'><pre>array([[[[ 3.20908319e+00,  3.26072036e+00,  3.19130098e+00, ...,\n",
       "          -1.19496096e+00, -8.91008744e-01,  1.35290252e+00],\n",
       "         [ 3.26859437e+00,  3.16118633e+00,  3.10164606e+00, ...,\n",
       "          -4.42680726e-01, -5.74525246e-01,  1.17354547e+00],\n",
       "         [ 3.26115858e+00,  3.11300336e+00,  2.96827280e+00, ...,\n",
       "           1.63995376e-01,  1.51186334e+00,  1.45274412e+00],\n",
       "         ...,\n",
       "         [ 4.55741226e+00,  4.71841728e+00,  4.83710777e+00, ...,\n",
       "           3.66412412e+00,  3.53775417e+00,  3.01847898e+00],\n",
       "         [ 4.46741544e+00,  4.71922599e+00,  5.02454673e+00, ...,\n",
       "           3.94005500e+00,  3.92537486e+00,  3.66150557e+00],\n",
       "         [ 4.75304781e+00,  5.04934989e+00,  5.43503820e+00, ...,\n",
       "           3.96870290e+00,  3.78729474e+00,  3.82525217e+00]],\n",
       "\n",
       "        [[ 5.28242866e+00,  5.33406584e+00,  5.26464645e+00, ...,\n",
       "           8.78384512e-01,  1.18233673e+00,  3.42624800e+00],\n",
       "         [ 5.34193985e+00,  5.23453180e+00,  5.17499153e+00, ...,\n",
       "           1.63066475e+00,  1.49882023e+00,  3.24689094e+00],\n",
       "         [ 5.33450405e+00,  5.18634884e+00,  5.04161827e+00, ...,\n",
       "           2.23734085e+00,  3.58520881e+00,  3.52608959e+00],\n",
       "...\n",
       "         [-3.29215080e-01, -1.68210059e-01, -4.95195687e-02, ...,\n",
       "          -1.22250322e+00, -1.34887317e+00, -1.86814836e+00],\n",
       "         [-4.19211894e-01, -1.67401344e-01,  1.37919396e-01, ...,\n",
       "          -9.46572334e-01, -9.61252481e-01, -1.22512177e+00],\n",
       "         [-1.33579522e-01,  1.62722558e-01,  5.48410863e-01, ...,\n",
       "          -9.17924434e-01, -1.09933260e+00, -1.06137517e+00]],\n",
       "\n",
       "        [[-1.42657928e+00, -1.37494211e+00, -1.44436149e+00, ...,\n",
       "          -5.83062343e+00, -5.52667121e+00, -3.28275995e+00],\n",
       "         [-1.36706809e+00, -1.47447614e+00, -1.53401641e+00, ...,\n",
       "          -5.07834319e+00, -5.21018772e+00, -3.46211700e+00],\n",
       "         [-1.37450389e+00, -1.52265911e+00, -1.66738967e+00, ...,\n",
       "          -4.47166709e+00, -3.12379913e+00, -3.18291835e+00],\n",
       "         ...,\n",
       "         [-7.82502117e-02,  8.27548085e-02,  2.01445299e-01, ...,\n",
       "          -9.71538347e-01, -1.09790830e+00, -1.61718349e+00],\n",
       "         [-1.68247026e-01,  8.35635243e-02,  3.88884264e-01, ...,\n",
       "          -6.95607466e-01, -7.10287613e-01, -9.74156898e-01],\n",
       "         [ 1.17385346e-01,  4.13687426e-01,  7.99375731e-01, ...,\n",
       "          -6.66959566e-01, -8.48367733e-01, -8.10410303e-01]]]])</pre></div></div></li><li class='xr-section-item'><input id='section-dbcb9b2b-8df5-40bd-bd8c-206d58b48adc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dbcb9b2b-8df5-40bd-bd8c-206d58b48adc' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>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-cc5bde6c-a7a6-4b7a-b556-9a566c6c69c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc5bde6c-a7a6-4b7a-b556-9a566c6c69c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd5561e3-9651-4186-936f-ac7c52e3a386' class='xr-var-data-in' type='checkbox'><label for='data-dd5561e3-9651-4186-936f-ac7c52e3a386' 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><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-23ea0d9e-db80-45f1-9eaa-c18174db4ada' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23ea0d9e-db80-45f1-9eaa-c18174db4ada' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06f30a1f-d4e8-47b0-8e85-b0b08a056bad' class='xr-var-data-in' type='checkbox'><label for='data-06f30a1f-d4e8-47b0-8e85-b0b08a056bad' 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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+06 1.025e+06 ... 5.275e+06</div><input id='attrs-a4360da0-ea31-4cda-ab3d-100c596ccb84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4360da0-ea31-4cda-ab3d-100c596ccb84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7288fb5-d931-40b2-890b-d07f8e70d535' class='xr-var-data-in' type='checkbox'><label for='data-f7288fb5-d931-40b2-890b-d07f8e70d535' 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([1000000., 1025000., 1050000., 1075000., 1100000., 1125000., 1150000.,\n",
       "       1175000., 1200000., 1225000., 1250000., 1275000., 1300000., 1325000.,\n",
       "       1350000., 1375000., 1400000., 1425000., 1450000., 1475000., 1500000.,\n",
       "       1525000., 1550000., 1575000., 1600000., 1625000., 1650000., 1675000.,\n",
       "       1700000., 1725000., 1750000., 1775000., 1800000., 1825000., 1850000.,\n",
       "       1875000., 1900000., 1925000., 1950000., 1975000., 2000000., 2025000.,\n",
       "       2050000., 2075000., 2100000., 2125000., 2150000., 2175000., 2200000.,\n",
       "       2225000., 2250000., 2275000., 2300000., 2325000., 2350000., 2375000.,\n",
       "       2400000., 2425000., 2450000., 2475000., 2500000., 2525000., 2550000.,\n",
       "       2575000., 2600000., 2625000., 2650000., 2675000., 2700000., 2725000.,\n",
       "       2750000., 2775000., 2800000., 2825000., 2850000., 2875000., 2900000.,\n",
       "       2925000., 2950000., 2975000., 3000000., 3025000., 3050000., 3075000.,\n",
       "       3100000., 3125000., 3150000., 3175000., 3200000., 3225000., 3250000.,\n",
       "       3275000., 3300000., 3325000., 3350000., 3375000., 3400000., 3425000.,\n",
       "       3450000., 3475000., 3500000., 3525000., 3550000., 3575000., 3600000.,\n",
       "       3625000., 3650000., 3675000., 3700000., 3725000., 3750000., 3775000.,\n",
       "       3800000., 3825000., 3850000., 3875000., 3900000., 3925000., 3950000.,\n",
       "       3975000., 4000000., 4025000., 4050000., 4075000., 4100000., 4125000.,\n",
       "       4150000., 4175000., 4200000., 4225000., 4250000., 4275000., 4300000.,\n",
       "       4325000., 4350000., 4375000., 4400000., 4425000., 4450000., 4475000.,\n",
       "       4500000., 4525000., 4550000., 4575000., 4600000., 4625000., 4650000.,\n",
       "       4675000., 4700000., 4725000., 4750000., 4775000., 4800000., 4825000.,\n",
       "       4850000., 4875000., 4900000., 4925000., 4950000., 4975000., 5000000.,\n",
       "       5025000., 5050000., 5075000., 5100000., 5125000., 5150000., 5175000.,\n",
       "       5200000., 5225000., 5250000., 5275000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2e+06 2.025e+06 ... 4.175e+06</div><input id='attrs-16e1d0c2-ec48-4f1a-9e68-d9e5e3b9c896' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16e1d0c2-ec48-4f1a-9e68-d9e5e3b9c896' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-874b808b-16fa-4dc5-9fec-9bb0d71d5693' class='xr-var-data-in' type='checkbox'><label for='data-874b808b-16fa-4dc5-9fec-9bb0d71d5693' 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([2000000., 2025000., 2050000., 2075000., 2100000., 2125000., 2150000.,\n",
       "       2175000., 2200000., 2225000., 2250000., 2275000., 2300000., 2325000.,\n",
       "       2350000., 2375000., 2400000., 2425000., 2450000., 2475000., 2500000.,\n",
       "       2525000., 2550000., 2575000., 2600000., 2625000., 2650000., 2675000.,\n",
       "       2700000., 2725000., 2750000., 2775000., 2800000., 2825000., 2850000.,\n",
       "       2875000., 2900000., 2925000., 2950000., 2975000., 3000000., 3025000.,\n",
       "       3050000., 3075000., 3100000., 3125000., 3150000., 3175000., 3200000.,\n",
       "       3225000., 3250000., 3275000., 3300000., 3325000., 3350000., 3375000.,\n",
       "       3400000., 3425000., 3450000., 3475000., 3500000., 3525000., 3550000.,\n",
       "       3575000., 3600000., 3625000., 3650000., 3675000., 3700000., 3725000.,\n",
       "       3750000., 3775000., 3800000., 3825000., 3850000., 3875000., 3900000.,\n",
       "       3925000., 3950000., 3975000., 4000000., 4025000., 4050000., 4075000.,\n",
       "       4100000., 4125000., 4150000., 4175000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-342ce8d6-4b09-4589-ae46-7f0886508772' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-342ce8d6-4b09-4589-ae46-7f0886508772' 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 (y: 88, x: 172, lat: 40, lon: 32)>\n",
       "array([[[[ 3.20908319e+00,  3.26072036e+00,  3.19130098e+00, ...,\n",
       "          -1.19496096e+00, -8.91008744e-01,  1.35290252e+00],\n",
       "         [ 3.26859437e+00,  3.16118633e+00,  3.10164606e+00, ...,\n",
       "          -4.42680726e-01, -5.74525246e-01,  1.17354547e+00],\n",
       "         [ 3.26115858e+00,  3.11300336e+00,  2.96827280e+00, ...,\n",
       "           1.63995376e-01,  1.51186334e+00,  1.45274412e+00],\n",
       "         ...,\n",
       "         [ 4.55741226e+00,  4.71841728e+00,  4.83710777e+00, ...,\n",
       "           3.66412412e+00,  3.53775417e+00,  3.01847898e+00],\n",
       "         [ 4.46741544e+00,  4.71922599e+00,  5.02454673e+00, ...,\n",
       "           3.94005500e+00,  3.92537486e+00,  3.66150557e+00],\n",
       "         [ 4.75304781e+00,  5.04934989e+00,  5.43503820e+00, ...,\n",
       "           3.96870290e+00,  3.78729474e+00,  3.82525217e+00]],\n",
       "\n",
       "        [[ 5.28242866e+00,  5.33406584e+00,  5.26464645e+00, ...,\n",
       "           8.78384512e-01,  1.18233673e+00,  3.42624800e+00],\n",
       "         [ 5.34193985e+00,  5.23453180e+00,  5.17499153e+00, ...,\n",
       "           1.63066475e+00,  1.49882023e+00,  3.24689094e+00],\n",
       "         [ 5.33450405e+00,  5.18634884e+00,  5.04161827e+00, ...,\n",
       "           2.23734085e+00,  3.58520881e+00,  3.52608959e+00],\n",
       "...\n",
       "         [-3.29215080e-01, -1.68210059e-01, -4.95195687e-02, ...,\n",
       "          -1.22250322e+00, -1.34887317e+00, -1.86814836e+00],\n",
       "         [-4.19211894e-01, -1.67401344e-01,  1.37919396e-01, ...,\n",
       "          -9.46572334e-01, -9.61252481e-01, -1.22512177e+00],\n",
       "         [-1.33579522e-01,  1.62722558e-01,  5.48410863e-01, ...,\n",
       "          -9.17924434e-01, -1.09933260e+00, -1.06137517e+00]],\n",
       "\n",
       "        [[-1.42657928e+00, -1.37494211e+00, -1.44436149e+00, ...,\n",
       "          -5.83062343e+00, -5.52667121e+00, -3.28275995e+00],\n",
       "         [-1.36706809e+00, -1.47447614e+00, -1.53401641e+00, ...,\n",
       "          -5.07834319e+00, -5.21018772e+00, -3.46211700e+00],\n",
       "         [-1.37450389e+00, -1.52265911e+00, -1.66738967e+00, ...,\n",
       "          -4.47166709e+00, -3.12379913e+00, -3.18291835e+00],\n",
       "         ...,\n",
       "         [-7.82502117e-02,  8.27548085e-02,  2.01445299e-01, ...,\n",
       "          -9.71538347e-01, -1.09790830e+00, -1.61718349e+00],\n",
       "         [-1.68247026e-01,  8.35635243e-02,  3.88884264e-01, ...,\n",
       "          -6.95607466e-01, -7.10287613e-01, -9.74156898e-01],\n",
       "         [ 1.17385346e-01,  4.13687426e-01,  7.99375731e-01, ...,\n",
       "          -6.66959566e-01, -8.48367733e-01, -8.10410303e-01]]]])\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\n",
       "  * x        (x) float64 1e+06 1.025e+06 1.05e+06 ... 5.25e+06 5.275e+06\n",
       "  * y        (y) float64 2e+06 2.025e+06 2.05e+06 ... 4.15e+06 4.175e+06"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias = eraint - trmm\n",
    "bias"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "445388ed",
   "metadata": {},
   "outputs": [
    {
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       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (y: 88, x: 172, lat: 40, lon: 32)&gt;\n",
       "array([[[[ 7.34498519e+01,  7.55243343e+01,  7.27467705e+01, ...,\n",
       "          -1.36206996e+01, -1.05206116e+01,  2.17324619e+01],\n",
       "         [ 7.58450347e+01,  7.15689948e+01,  6.92870280e+01, ...,\n",
       "          -5.51912867e+00, -7.04706444e+00,  1.83234257e+01],\n",
       "         [ 7.55421515e+01,  6.97176161e+01,  6.43892195e+01, ...,\n",
       "           2.21191869e+00,  2.49223290e+01,  2.37166465e+01],\n",
       "         ...,\n",
       "         [ 1.50870149e+02,  1.64994252e+02,  1.76468771e+02, ...,\n",
       "           9.36148963e+01,  8.75592960e+01,  6.61992910e+01],\n",
       "         [ 1.43612245e+02,  1.65069212e+02,  1.96761955e+02, ...,\n",
       "           1.08299540e+02,  1.07462407e+02,  9.34854516e+01],\n",
       "         [ 1.68242577e+02,  1.99672661e+02,  2.53603352e+02, ...,\n",
       "           1.09952790e+02,  9.99057139e+01,  1.01927586e+02]],\n",
       "\n",
       "        [[ 1.20904813e+02,  1.23546863e+02,  1.20009372e+02, ...,\n",
       "           1.00122196e+01,  1.39604753e+01,  5.50378190e+01],\n",
       "         [ 1.23955305e+02,  1.18509363e+02,  1.15603063e+02, ...,\n",
       "           2.03303375e+01,  1.83843666e+01,  5.06960885e+01],\n",
       "         [ 1.23569555e+02,  1.16151457e+02,  1.09365240e+02, ...,\n",
       "           3.01765585e+01,  5.91004168e+01,  5.75648659e+01],\n",
       "...\n",
       "         [-1.08984497e+01, -5.88199206e+00, -1.80658729e+00, ...,\n",
       "          -3.12337977e+01, -3.33845653e+01, -4.09709982e+01],\n",
       "         [-1.34762396e+01, -5.85536863e+00,  5.40094290e+00, ...,\n",
       "          -2.60182530e+01, -2.63155773e+01, -3.12797726e+01],\n",
       "         [-4.72828465e+00,  6.43473850e+00,  2.55893019e+01, ...,\n",
       "          -2.54310679e+01, -2.89994880e+01, -2.82813797e+01]],\n",
       "\n",
       "        [[-3.26517047e+01, -3.18462105e+01, -3.29247020e+01, ...,\n",
       "          -6.64600542e+01, -6.52563309e+01, -5.27328868e+01],\n",
       "         [-3.17216868e+01, -3.33820168e+01, -3.42680745e+01, ...,\n",
       "          -6.33143208e+01, -6.39075982e+01, -5.40565707e+01],\n",
       "         [-3.18392923e+01, -3.41008828e+01, -3.61698291e+01, ...,\n",
       "          -6.03124569e+01, -5.14943034e+01, -5.19624540e+01],\n",
       "         ...,\n",
       "         [-2.59042203e+00,  2.89378131e+00,  7.34918592e+00, ...,\n",
       "          -2.48218834e+01, -2.71731933e+01, -3.54670021e+01],\n",
       "         [-5.40857089e+00,  2.92288717e+00,  1.52287623e+01, ...,\n",
       "          -1.91200296e+01, -1.94450771e+01, -2.48721450e+01],\n",
       "         [ 4.15506297e+00,  1.63589514e+01,  3.72995290e+01, ...,\n",
       "          -1.84780940e+01, -2.23792416e+01, -2.15941753e+01]]]])\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\n",
       "  * x        (x) float64 1e+06 1.025e+06 1.05e+06 ... 5.25e+06 5.275e+06\n",
       "  * y        (y) float64 2e+06 2.025e+06 2.05e+06 ... 4.15e+06 4.175e+06</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'>y</span>: 88</li><li><span class='xr-has-index'>x</span>: 172</li><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-afd5bd3d-0d50-4d98-baa5-0575c1c27fc7' class='xr-array-in' type='checkbox' checked><label for='section-afd5bd3d-0d50-4d98-baa5-0575c1c27fc7' 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>73.45 75.52 72.75 68.0 61.42 ... 3.089 -12.4 -18.48 -22.38 -21.59</span></div><div class='xr-array-data'><pre>array([[[[ 7.34498519e+01,  7.55243343e+01,  7.27467705e+01, ...,\n",
       "          -1.36206996e+01, -1.05206116e+01,  2.17324619e+01],\n",
       "         [ 7.58450347e+01,  7.15689948e+01,  6.92870280e+01, ...,\n",
       "          -5.51912867e+00, -7.04706444e+00,  1.83234257e+01],\n",
       "         [ 7.55421515e+01,  6.97176161e+01,  6.43892195e+01, ...,\n",
       "           2.21191869e+00,  2.49223290e+01,  2.37166465e+01],\n",
       "         ...,\n",
       "         [ 1.50870149e+02,  1.64994252e+02,  1.76468771e+02, ...,\n",
       "           9.36148963e+01,  8.75592960e+01,  6.61992910e+01],\n",
       "         [ 1.43612245e+02,  1.65069212e+02,  1.96761955e+02, ...,\n",
       "           1.08299540e+02,  1.07462407e+02,  9.34854516e+01],\n",
       "         [ 1.68242577e+02,  1.99672661e+02,  2.53603352e+02, ...,\n",
       "           1.09952790e+02,  9.99057139e+01,  1.01927586e+02]],\n",
       "\n",
       "        [[ 1.20904813e+02,  1.23546863e+02,  1.20009372e+02, ...,\n",
       "           1.00122196e+01,  1.39604753e+01,  5.50378190e+01],\n",
       "         [ 1.23955305e+02,  1.18509363e+02,  1.15603063e+02, ...,\n",
       "           2.03303375e+01,  1.83843666e+01,  5.06960885e+01],\n",
       "         [ 1.23569555e+02,  1.16151457e+02,  1.09365240e+02, ...,\n",
       "           3.01765585e+01,  5.91004168e+01,  5.75648659e+01],\n",
       "...\n",
       "         [-1.08984497e+01, -5.88199206e+00, -1.80658729e+00, ...,\n",
       "          -3.12337977e+01, -3.33845653e+01, -4.09709982e+01],\n",
       "         [-1.34762396e+01, -5.85536863e+00,  5.40094290e+00, ...,\n",
       "          -2.60182530e+01, -2.63155773e+01, -3.12797726e+01],\n",
       "         [-4.72828465e+00,  6.43473850e+00,  2.55893019e+01, ...,\n",
       "          -2.54310679e+01, -2.89994880e+01, -2.82813797e+01]],\n",
       "\n",
       "        [[-3.26517047e+01, -3.18462105e+01, -3.29247020e+01, ...,\n",
       "          -6.64600542e+01, -6.52563309e+01, -5.27328868e+01],\n",
       "         [-3.17216868e+01, -3.33820168e+01, -3.42680745e+01, ...,\n",
       "          -6.33143208e+01, -6.39075982e+01, -5.40565707e+01],\n",
       "         [-3.18392923e+01, -3.41008828e+01, -3.61698291e+01, ...,\n",
       "          -6.03124569e+01, -5.14943034e+01, -5.19624540e+01],\n",
       "         ...,\n",
       "         [-2.59042203e+00,  2.89378131e+00,  7.34918592e+00, ...,\n",
       "          -2.48218834e+01, -2.71731933e+01, -3.54670021e+01],\n",
       "         [-5.40857089e+00,  2.92288717e+00,  1.52287623e+01, ...,\n",
       "          -1.91200296e+01, -1.94450771e+01, -2.48721450e+01],\n",
       "         [ 4.15506297e+00,  1.63589514e+01,  3.72995290e+01, ...,\n",
       "          -1.84780940e+01, -2.23792416e+01, -2.15941753e+01]]]])</pre></div></div></li><li class='xr-section-item'><input id='section-ede631ff-2596-41d1-8109-5a5212919a2e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ede631ff-2596-41d1-8109-5a5212919a2e' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>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-ac4a50f6-31dd-4c3d-907d-f94d162928b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac4a50f6-31dd-4c3d-907d-f94d162928b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1bb019a-6af2-486f-9820-d0e437826d37' class='xr-var-data-in' type='checkbox'><label for='data-c1bb019a-6af2-486f-9820-d0e437826d37' 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><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-784de17a-cf43-4b77-accf-63d465f6afb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-784de17a-cf43-4b77-accf-63d465f6afb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a39a5e8-bdeb-4029-ae2b-145d94916726' class='xr-var-data-in' type='checkbox'><label for='data-2a39a5e8-bdeb-4029-ae2b-145d94916726' 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'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1e+06 1.025e+06 ... 5.275e+06</div><input id='attrs-89c878ff-771d-4cc2-8eb1-45c3f4ef2dfb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89c878ff-771d-4cc2-8eb1-45c3f4ef2dfb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8496cc6-f7c7-4c78-8b1a-7927c90377bb' class='xr-var-data-in' type='checkbox'><label for='data-c8496cc6-f7c7-4c78-8b1a-7927c90377bb' 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>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([1000000., 1025000., 1050000., 1075000., 1100000., 1125000., 1150000.,\n",
       "       1175000., 1200000., 1225000., 1250000., 1275000., 1300000., 1325000.,\n",
       "       1350000., 1375000., 1400000., 1425000., 1450000., 1475000., 1500000.,\n",
       "       1525000., 1550000., 1575000., 1600000., 1625000., 1650000., 1675000.,\n",
       "       1700000., 1725000., 1750000., 1775000., 1800000., 1825000., 1850000.,\n",
       "       1875000., 1900000., 1925000., 1950000., 1975000., 2000000., 2025000.,\n",
       "       2050000., 2075000., 2100000., 2125000., 2150000., 2175000., 2200000.,\n",
       "       2225000., 2250000., 2275000., 2300000., 2325000., 2350000., 2375000.,\n",
       "       2400000., 2425000., 2450000., 2475000., 2500000., 2525000., 2550000.,\n",
       "       2575000., 2600000., 2625000., 2650000., 2675000., 2700000., 2725000.,\n",
       "       2750000., 2775000., 2800000., 2825000., 2850000., 2875000., 2900000.,\n",
       "       2925000., 2950000., 2975000., 3000000., 3025000., 3050000., 3075000.,\n",
       "       3100000., 3125000., 3150000., 3175000., 3200000., 3225000., 3250000.,\n",
       "       3275000., 3300000., 3325000., 3350000., 3375000., 3400000., 3425000.,\n",
       "       3450000., 3475000., 3500000., 3525000., 3550000., 3575000., 3600000.,\n",
       "       3625000., 3650000., 3675000., 3700000., 3725000., 3750000., 3775000.,\n",
       "       3800000., 3825000., 3850000., 3875000., 3900000., 3925000., 3950000.,\n",
       "       3975000., 4000000., 4025000., 4050000., 4075000., 4100000., 4125000.,\n",
       "       4150000., 4175000., 4200000., 4225000., 4250000., 4275000., 4300000.,\n",
       "       4325000., 4350000., 4375000., 4400000., 4425000., 4450000., 4475000.,\n",
       "       4500000., 4525000., 4550000., 4575000., 4600000., 4625000., 4650000.,\n",
       "       4675000., 4700000., 4725000., 4750000., 4775000., 4800000., 4825000.,\n",
       "       4850000., 4875000., 4900000., 4925000., 4950000., 4975000., 5000000.,\n",
       "       5025000., 5050000., 5075000., 5100000., 5125000., 5150000., 5175000.,\n",
       "       5200000., 5225000., 5250000., 5275000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2e+06 2.025e+06 ... 4.175e+06</div><input id='attrs-38583a37-e908-4618-9d73-e3a7479438a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38583a37-e908-4618-9d73-e3a7479438a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89628898-3d7a-4840-81d1-7ac190f46c8b' class='xr-var-data-in' type='checkbox'><label for='data-89628898-3d7a-4840-81d1-7ac190f46c8b' 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>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y-coordinate in Cartesian system</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([2000000., 2025000., 2050000., 2075000., 2100000., 2125000., 2150000.,\n",
       "       2175000., 2200000., 2225000., 2250000., 2275000., 2300000., 2325000.,\n",
       "       2350000., 2375000., 2400000., 2425000., 2450000., 2475000., 2500000.,\n",
       "       2525000., 2550000., 2575000., 2600000., 2625000., 2650000., 2675000.,\n",
       "       2700000., 2725000., 2750000., 2775000., 2800000., 2825000., 2850000.,\n",
       "       2875000., 2900000., 2925000., 2950000., 2975000., 3000000., 3025000.,\n",
       "       3050000., 3075000., 3100000., 3125000., 3150000., 3175000., 3200000.,\n",
       "       3225000., 3250000., 3275000., 3300000., 3325000., 3350000., 3375000.,\n",
       "       3400000., 3425000., 3450000., 3475000., 3500000., 3525000., 3550000.,\n",
       "       3575000., 3600000., 3625000., 3650000., 3675000., 3700000., 3725000.,\n",
       "       3750000., 3775000., 3800000., 3825000., 3850000., 3875000., 3900000.,\n",
       "       3925000., 3950000., 3975000., 4000000., 4025000., 4050000., 4075000.,\n",
       "       4100000., 4125000., 4150000., 4175000.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c0911e75-57f5-4fd8-ba25-c5408da08b88' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c0911e75-57f5-4fd8-ba25-c5408da08b88' 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 (y: 88, x: 172, lat: 40, lon: 32)>\n",
       "array([[[[ 7.34498519e+01,  7.55243343e+01,  7.27467705e+01, ...,\n",
       "          -1.36206996e+01, -1.05206116e+01,  2.17324619e+01],\n",
       "         [ 7.58450347e+01,  7.15689948e+01,  6.92870280e+01, ...,\n",
       "          -5.51912867e+00, -7.04706444e+00,  1.83234257e+01],\n",
       "         [ 7.55421515e+01,  6.97176161e+01,  6.43892195e+01, ...,\n",
       "           2.21191869e+00,  2.49223290e+01,  2.37166465e+01],\n",
       "         ...,\n",
       "         [ 1.50870149e+02,  1.64994252e+02,  1.76468771e+02, ...,\n",
       "           9.36148963e+01,  8.75592960e+01,  6.61992910e+01],\n",
       "         [ 1.43612245e+02,  1.65069212e+02,  1.96761955e+02, ...,\n",
       "           1.08299540e+02,  1.07462407e+02,  9.34854516e+01],\n",
       "         [ 1.68242577e+02,  1.99672661e+02,  2.53603352e+02, ...,\n",
       "           1.09952790e+02,  9.99057139e+01,  1.01927586e+02]],\n",
       "\n",
       "        [[ 1.20904813e+02,  1.23546863e+02,  1.20009372e+02, ...,\n",
       "           1.00122196e+01,  1.39604753e+01,  5.50378190e+01],\n",
       "         [ 1.23955305e+02,  1.18509363e+02,  1.15603063e+02, ...,\n",
       "           2.03303375e+01,  1.83843666e+01,  5.06960885e+01],\n",
       "         [ 1.23569555e+02,  1.16151457e+02,  1.09365240e+02, ...,\n",
       "           3.01765585e+01,  5.91004168e+01,  5.75648659e+01],\n",
       "...\n",
       "         [-1.08984497e+01, -5.88199206e+00, -1.80658729e+00, ...,\n",
       "          -3.12337977e+01, -3.33845653e+01, -4.09709982e+01],\n",
       "         [-1.34762396e+01, -5.85536863e+00,  5.40094290e+00, ...,\n",
       "          -2.60182530e+01, -2.63155773e+01, -3.12797726e+01],\n",
       "         [-4.72828465e+00,  6.43473850e+00,  2.55893019e+01, ...,\n",
       "          -2.54310679e+01, -2.89994880e+01, -2.82813797e+01]],\n",
       "\n",
       "        [[-3.26517047e+01, -3.18462105e+01, -3.29247020e+01, ...,\n",
       "          -6.64600542e+01, -6.52563309e+01, -5.27328868e+01],\n",
       "         [-3.17216868e+01, -3.33820168e+01, -3.42680745e+01, ...,\n",
       "          -6.33143208e+01, -6.39075982e+01, -5.40565707e+01],\n",
       "         [-3.18392923e+01, -3.41008828e+01, -3.61698291e+01, ...,\n",
       "          -6.03124569e+01, -5.14943034e+01, -5.19624540e+01],\n",
       "         ...,\n",
       "         [-2.59042203e+00,  2.89378131e+00,  7.34918592e+00, ...,\n",
       "          -2.48218834e+01, -2.71731933e+01, -3.54670021e+01],\n",
       "         [-5.40857089e+00,  2.92288717e+00,  1.52287623e+01, ...,\n",
       "          -1.91200296e+01, -1.94450771e+01, -2.48721450e+01],\n",
       "         [ 4.15506297e+00,  1.63589514e+01,  3.72995290e+01, ...,\n",
       "          -1.84780940e+01, -2.23792416e+01, -2.15941753e+01]]]])\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\n",
       "  * x        (x) float64 1e+06 1.025e+06 1.05e+06 ... 5.25e+06 5.275e+06\n",
       "  * y        (y) float64 2e+06 2.025e+06 2.05e+06 ... 4.15e+06 4.175e+06"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias_percentage = ((eraint - trmm)/trmm)*100\n",
    "bias_percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "08ba09cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting annual_pr_mean\n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias['lon'], bias['lat'],bias[0,0,:,:],\n",
    "                levels=np.arange(-15,15+1,2.5),  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, orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'mm/day')\n",
    "ax.coastlines()\n",
    "ax.add_feature(cfeature.BORDERS)\n",
    "\n",
    "plt.title('Annual Bias(EraInt-TRMM)')\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Annual Bias(eraint-trmm).png\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9003db92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting bias percentage \n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias_percentage['lon'], bias_percentage['lat'],bias_percentage[0,0,:,:],\n",
    "                levels=np.arange(-15,15+1,2.5),  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, orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'mm/day')\n",
    "ax.coastlines()\n",
    "ax.add_feature(cfeature.BORDERS)\n",
    "\n",
    "\n",
    "plt.title('Annual Bias-Percentage(EraInt-CHIRPS)')\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Annual Bias_percentage(eraint-chirps).png\")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "220503a1",
   "metadata": {},
   "outputs": [],
   "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": []
  }
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