Seasonal Bias ensemble average(GCM-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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       "    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-2c0481eb-476f-4678-a7e5-887407b0befe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2c0481eb-476f-4678-a7e5-887407b0befe' 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-398ee559-4d63-4f78-8407-323ea14c7b20' class='xr-section-summary-in' type='checkbox'  checked><label for='section-398ee559-4d63-4f78-8407-323ea14c7b20' 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-94d16756-9100-46d8-a818-de46b0e65da0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-94d16756-9100-46d8-a818-de46b0e65da0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-361677ed-1af3-4420-b4a9-852eefb8050b' class='xr-var-data-in' type='checkbox'><label for='data-361677ed-1af3-4420-b4a9-852eefb8050b' 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-3675b255-5d2a-4da7-ba1a-010faa47ea54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3675b255-5d2a-4da7-ba1a-010faa47ea54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa9f762a-32d6-48a9-ac4d-07cac8f9858d' class='xr-var-data-in' type='checkbox'><label for='data-aa9f762a-32d6-48a9-ac4d-07cac8f9858d' 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-306c8539-67ce-4150-906a-0f4fad73e379' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-306c8539-67ce-4150-906a-0f4fad73e379' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-114dbc9f-b19c-4b00-9391-6c5b525dc9b2' class='xr-var-data-in' type='checkbox'><label for='data-114dbc9f-b19c-4b00-9391-6c5b525dc9b2' 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-ac262945-97dc-49fe-a1d6-ea001497e50f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ac262945-97dc-49fe-a1d6-ea001497e50f' 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-c2c0718f-f43d-4e3d-ae48-ad68ff6f8593' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2c0718f-f43d-4e3d-ae48-ad68ff6f8593' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4f68f1a-bc31-42a1-98e7-29dd3d46c9ba' class='xr-var-data-in' type='checkbox'><label for='data-c4f68f1a-bc31-42a1-98e7-29dd3d46c9ba' 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-d29dcb2e-00a7-43e9-8292-b02c23b816ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d29dcb2e-00a7-43e9-8292-b02c23b816ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-211c4117-5c21-4d01-8a40-0feb1fc0baac' class='xr-var-data-in' type='checkbox'><label for='data-211c4117-5c21-4d01-8a40-0feb1fc0baac' 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-05e471b2-3151-49a1-8cb9-67f9e70c8d64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05e471b2-3151-49a1-8cb9-67f9e70c8d64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65d4b8e2-6ac2-4804-984a-3cc57e17e225' class='xr-var-data-in' type='checkbox'><label for='data-65d4b8e2-6ac2-4804-984a-3cc57e17e225' 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-301647c3-8c51-4332-ab9e-35181614b465' class='xr-section-summary-in' type='checkbox'  checked><label for='section-301647c3-8c51-4332-ab9e-35181614b465' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 132, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-01-01 1998-02-01 ... 2008-12-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 ...\n",
       "    datesec  (time) timedelta64[ns] ...\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/observation/trm/MonthlyTRMM_3B43/3B43.1998_2008.nc')\n",
    " \n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "800e4d90",
   "metadata": {},
   "outputs": [
    {
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       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 95, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-02-01 1998-03-01 ... 2005-12-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980201 19980301 19980401 ... 20051101 20051201\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8e79b4e7-4188-4f8e-944d-baf2c2ce1a88' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8e79b4e7-4188-4f8e-944d-baf2c2ce1a88' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 95</li><li><span class='xr-has-index'>lat</span>: 400</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-00ed17ed-1c6f-4a79-8fa9-2143b0e79500' class='xr-section-summary-in' type='checkbox'  checked><label for='section-00ed17ed-1c6f-4a79-8fa9-2143b0e79500' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-02-01 ... 2005-12-01</div><input id='attrs-99e2c547-56e5-489c-b1f2-992d1327acf0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-99e2c547-56e5-489c-b1f2-992d1327acf0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3b15c54-2e00-4aed-94f2-bee49164c6aa' class='xr-var-data-in' type='checkbox'><label for='data-f3b15c54-2e00-4aed-94f2-bee49164c6aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-02-01T00:00:00.000000000&#x27;, &#x27;1998-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-04-01T00:00:00.000000000&#x27;, &#x27;1998-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-10-01T00:00:00.000000000&#x27;, &#x27;1998-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-12-01T00:00:00.000000000&#x27;, &#x27;1999-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-02-01T00:00:00.000000000&#x27;, &#x27;1999-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-04-01T00:00:00.000000000&#x27;, &#x27;1999-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-10-01T00:00:00.000000000&#x27;, &#x27;1999-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-12-01T00:00:00.000000000&#x27;, &#x27;2000-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-02-01T00:00:00.000000000&#x27;, &#x27;2000-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-04-01T00:00:00.000000000&#x27;, &#x27;2000-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-10-01T00:00:00.000000000&#x27;, &#x27;2000-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-01T00:00:00.000000000&#x27;, &#x27;2001-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-02-01T00:00:00.000000000&#x27;, &#x27;2001-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-04-01T00:00:00.000000000&#x27;, &#x27;2001-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-10-01T00:00:00.000000000&#x27;, &#x27;2001-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-12-01T00:00:00.000000000&#x27;, &#x27;2002-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-02-01T00:00:00.000000000&#x27;, &#x27;2002-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-04-01T00:00:00.000000000&#x27;, &#x27;2002-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-10-01T00:00:00.000000000&#x27;, &#x27;2002-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-12-01T00:00:00.000000000&#x27;, &#x27;2003-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-02-01T00:00:00.000000000&#x27;, &#x27;2003-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-04-01T00:00:00.000000000&#x27;, &#x27;2003-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-10-01T00:00:00.000000000&#x27;, &#x27;2003-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-12-01T00:00:00.000000000&#x27;, &#x27;2004-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-02-01T00:00:00.000000000&#x27;, &#x27;2004-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-04-01T00:00:00.000000000&#x27;, &#x27;2004-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-10-01T00:00:00.000000000&#x27;, &#x27;2004-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-12-01T00:00:00.000000000&#x27;, &#x27;2005-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-02-01T00:00:00.000000000&#x27;, &#x27;2005-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-04-01T00:00:00.000000000&#x27;, &#x27;2005-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-10-01T00:00:00.000000000&#x27;, &#x27;2005-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-12-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.88 -49.62 ... 49.62 49.88</div><input id='attrs-d642bd96-f879-4c36-8204-2a359eb4451f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d642bd96-f879-4c36-8204-2a359eb4451f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c821e9d-8e82-4624-be14-18d46a945f5e' class='xr-var-data-in' type='checkbox'><label for='data-1c821e9d-8e82-4624-be14-18d46a945f5e' 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-d0e37fc8-860a-4229-b6fa-b9808a5986c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0e37fc8-860a-4229-b6fa-b9808a5986c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4841873d-7583-494c-b0b6-846260be7560' class='xr-var-data-in' type='checkbox'><label for='data-4841873d-7583-494c-b0b6-846260be7560' 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-def2298c-5050-4fa6-bd59-8169a0cfd313' class='xr-section-summary-in' type='checkbox'  checked><label for='section-def2298c-5050-4fa6-bd59-8169a0cfd313' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>19980201 19980301 ... 20051201</div><input id='attrs-a3aa81b1-832b-4226-8b18-42cb00f7d0ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3aa81b1-832b-4226-8b18-42cb00f7d0ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15cf9e05-8cb2-4885-92bb-ef90f8b26de8' class='xr-var-data-in' type='checkbox'><label for='data-15cf9e05-8cb2-4885-92bb-ef90f8b26de8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980201, 19980301, 19980401, 19980501, 19980601, 19980701, 19980801,\n",
       "       19980901, 19981001, 19981101, 19981201, 19990101, 19990201, 19990301,\n",
       "       19990401, 19990501, 19990601, 19990701, 19990801, 19990901, 19991001,\n",
       "       19991101, 19991201, 20000101, 20000201, 20000301, 20000401, 20000501,\n",
       "       20000601, 20000701, 20000801, 20000901, 20001001, 20001101, 20001201,\n",
       "       20010101, 20010201, 20010301, 20010401, 20010501, 20010601, 20010701,\n",
       "       20010801, 20010901, 20011001, 20011101, 20011201, 20020101, 20020201,\n",
       "       20020301, 20020401, 20020501, 20020601, 20020701, 20020801, 20020901,\n",
       "       20021001, 20021101, 20021201, 20030101, 20030201, 20030301, 20030401,\n",
       "       20030501, 20030601, 20030701, 20030801, 20030901, 20031001, 20031101,\n",
       "       20031201, 20040101, 20040201, 20040301, 20040401, 20040501, 20040601,\n",
       "       20040701, 20040801, 20040901, 20041001, 20041101, 20041201, 20050101,\n",
       "       20050201, 20050301, 20050401, 20050501, 20050601, 20050701, 20050801,\n",
       "       20050901, 20051001, 20051101, 20051201], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 1 days ... 1 days 1 days</div><input id='attrs-de6ebd72-ed04-48f1-81fa-17cccbe6c900' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de6ebd72-ed04-48f1-81fa-17cccbe6c900' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b631dd4-e928-45c8-9aad-0dcb7cde18f7' class='xr-var-data-in' type='checkbox'><label for='data-9b631dd4-e928-45c8-9aad-0dcb7cde18f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cee80c76-3cbf-493f-9b4c-5c0383b15c86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cee80c76-3cbf-493f-9b4c-5c0383b15c86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-099a35c0-8900-42d7-a4d5-fb9105f0800f' class='xr-var-data-in' type='checkbox'><label for='data-099a35c0-8900-42d7-a4d5-fb9105f0800f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>[54720000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2de6d7ba-d4b3-4930-b1a6-b99acff3eb0d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2de6d7ba-d4b3-4930-b1a6-b99acff3eb0d' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 95, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-02-01 1998-03-01 ... 2005-12-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980201 19980301 19980401 ... 20051101 20051201\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1998-01-16T12:00:00.000000000','2005-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "10070b93",
   "metadata": {},
   "outputs": [
    {
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       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 32, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2005-09-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20050801 20050901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3e715152-f19e-40b6-a667-a424452ef692' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3e715152-f19e-40b6-a667-a424452ef692' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 32</li><li><span class='xr-has-index'>lat</span>: 400</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-350245a7-6afd-49e8-96f1-1525b1b8f82c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-350245a7-6afd-49e8-96f1-1525b1b8f82c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-06-01 ... 2005-09-01</div><input id='attrs-025e327b-9525-48b8-8860-3e3b44be1cb3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-025e327b-9525-48b8-8860-3e3b44be1cb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9cff210-7849-4679-bc80-542a67a6f90e' class='xr-var-data-in' type='checkbox'><label for='data-c9cff210-7849-4679-bc80-542a67a6f90e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.88 -49.62 ... 49.62 49.88</div><input id='attrs-a8d4ca98-a0fd-4002-a1c5-144a3803174a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a8d4ca98-a0fd-4002-a1c5-144a3803174a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8950fa36-82c2-4c62-b027-6e3e8bdd8a29' class='xr-var-data-in' type='checkbox'><label for='data-8950fa36-82c2-4c62-b027-6e3e8bdd8a29' 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-b63837fc-ec95-4d84-a72c-56e07c636851' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b63837fc-ec95-4d84-a72c-56e07c636851' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f647560b-ad94-48a8-9ec6-d2305851d150' class='xr-var-data-in' type='checkbox'><label for='data-f647560b-ad94-48a8-9ec6-d2305851d150' 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-61fc6b01-e68c-47a5-b5c2-482bd55fbd5f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-61fc6b01-e68c-47a5-b5c2-482bd55fbd5f' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>19980601 19980701 ... 20050901</div><input id='attrs-d1b660cb-c045-4315-9061-276b02e046cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1b660cb-c045-4315-9061-276b02e046cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eaa34bc1-70c4-45a1-ba26-e9577d449590' class='xr-var-data-in' type='checkbox'><label for='data-eaa34bc1-70c4-45a1-ba26-e9577d449590' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980601, 19980701, 19980801, 19980901, 19990601, 19990701, 19990801,\n",
       "       19990901, 20000601, 20000701, 20000801, 20000901, 20010601, 20010701,\n",
       "       20010801, 20010901, 20020601, 20020701, 20020801, 20020901, 20030601,\n",
       "       20030701, 20030801, 20030901, 20040601, 20040701, 20040801, 20040901,\n",
       "       20050601, 20050701, 20050801, 20050901], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 1 days ... 1 days 1 days</div><input id='attrs-43e61d7a-9918-4d4b-93a0-6308d793226c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43e61d7a-9918-4d4b-93a0-6308d793226c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b607c96f-b8a8-4398-bb76-03c776960bbf' class='xr-var-data-in' type='checkbox'><label for='data-b607c96f-b8a8-4398-bb76-03c776960bbf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000],\n",
       "      dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-14307cf7-0fb8-436e-a888-c905ecaded90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14307cf7-0fb8-436e-a888-c905ecaded90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-279154ec-c31d-4b7d-b1be-3bd676125058' class='xr-var-data-in' type='checkbox'><label for='data-279154ec-c31d-4b7d-b1be-3bd676125058' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>[18432000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a0576ecb-65fe-417e-9a71-e4ada0dfa132' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a0576ecb-65fe-417e-9a71-e4ada0dfa132' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 32, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2005-09-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20050801 20050901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting only JJAS months\n",
    "\n",
    "def is_jjas(month):\n",
    "    return (month >= 6) & (month <= 9)\n",
    "\n",
    "jjas_data = data.sel(time=is_jjas(data['time.month']))\n",
    "\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "735515f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.latitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fd310367",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.longitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2a9644bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "#to select the x and y coordinates\n",
    "#jjas_data = jjas_data.sel(lon=slice(0,100),lat=slice(0,50))\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "91600dec",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 32, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2005-09-01\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20050801 20050901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float64 0.4308 0.3221 0.2765 ... 0.1774 0.1441\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3f232fc4-fd54-47ec-bdd0-87cabcda4e7e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3f232fc4-fd54-47ec-bdd0-87cabcda4e7e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-95123e8c-2c2d-42bd-87d4-1953f6c61b4b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-95123e8c-2c2d-42bd-87d4-1953f6c61b4b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-06-01 ... 2005-09-01</div><input id='attrs-ed82af25-ea76-49ff-b654-1439d4365def' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ed82af25-ea76-49ff-b654-1439d4365def' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ff403ce-cf67-429b-a4f4-891c02e68607' class='xr-var-data-in' type='checkbox'><label for='data-9ff403ce-cf67-429b-a4f4-891c02e68607' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-744507cc-f9c6-4a44-a2ea-89911d043a19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-744507cc-f9c6-4a44-a2ea-89911d043a19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b36db182-fd56-4453-a4c2-6e3581163070' class='xr-var-data-in' type='checkbox'><label for='data-b36db182-fd56-4453-a4c2-6e3581163070' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-24d03a5e-3306-486a-aaab-fac7ae4a35fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24d03a5e-3306-486a-aaab-fac7ae4a35fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9c331c4-d828-4034-8659-0c3e59509169' class='xr-var-data-in' type='checkbox'><label for='data-a9c331c4-d828-4034-8659-0c3e59509169' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-43e8d8e7-7694-42b6-be4b-4e17922ad72d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-43e8d8e7-7694-42b6-be4b-4e17922ad72d' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>19980601 19980701 ... 20050901</div><input id='attrs-f24acaa6-4e97-435c-a4d9-8fece7662409' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f24acaa6-4e97-435c-a4d9-8fece7662409' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06015992-cea9-4ed4-aeeb-a2886e05311e' class='xr-var-data-in' type='checkbox'><label for='data-06015992-cea9-4ed4-aeeb-a2886e05311e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980601, 19980701, 19980801, 19980901, 19990601, 19990701, 19990801,\n",
       "       19990901, 20000601, 20000701, 20000801, 20000901, 20010601, 20010701,\n",
       "       20010801, 20010901, 20020601, 20020701, 20020801, 20020901, 20030601,\n",
       "       20030701, 20030801, 20030901, 20040601, 20040701, 20040801, 20040901,\n",
       "       20050601, 20050701, 20050801, 20050901], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 1 days ... 1 days 1 days</div><input id='attrs-c8997d65-a7b1-453e-b5c0-a554d97df0c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8997d65-a7b1-453e-b5c0-a554d97df0c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5d84680-b98b-431a-aed4-055540d4b032' class='xr-var-data-in' type='checkbox'><label for='data-e5d84680-b98b-431a-aed4-055540d4b032' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000],\n",
       "      dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4308 0.3221 ... 0.1774 0.1441</div><input id='attrs-3467d9ab-1773-4c9d-9493-5f22eef4bf04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3467d9ab-1773-4c9d-9493-5f22eef4bf04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07085cc8-fed7-4002-af17-88691871f963' class='xr-var-data-in' type='checkbox'><label for='data-07085cc8-fed7-4002-af17-88691871f963' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>array([[[0.43078125, 0.32212433, 0.27652851, ..., 0.71414649,\n",
       "         0.69097066, 0.51104361],\n",
       "        [0.34645832, 0.28588545, 0.27891186, ..., 0.67252439,\n",
       "         0.71405703, 0.53020412],\n",
       "        [0.30466321, 0.28692707, 0.34890625, ..., 0.52755976,\n",
       "         0.44530717, 0.50524467],\n",
       "        ...,\n",
       "        [0.25164425, 0.22906637, 0.22276108, ..., 0.33158243,\n",
       "         0.39273235, 0.46620294],\n",
       "        [0.21053816, 0.24256794, 0.22192635, ..., 0.33510813,\n",
       "         0.34741056, 0.41668078],\n",
       "        [0.23194218, 0.24844146, 0.20519544, ..., 0.33965585,\n",
       "         0.34638026, 0.3829622 ]],\n",
       "\n",
       "       [[0.37044898, 0.34102049, 0.26514283, ..., 0.80254507,\n",
       "         0.74981993, 1.0030787 ],\n",
       "        [0.40648982, 0.32844895, 0.33179593, ..., 0.71308237,\n",
       "         0.75142395, 0.94209349],\n",
       "        [0.37599996, 0.33314285, 0.31755105, ..., 0.62495816,\n",
       "         0.7886126 , 0.82755727],\n",
       "...\n",
       "        [0.47652695, 0.46822199, 0.42713207, ..., 0.37804446,\n",
       "         0.38281152, 0.45988405],\n",
       "        [0.49997219, 0.48323852, 0.45986396, ..., 0.34103122,\n",
       "         0.33705536, 0.35235509],\n",
       "        [0.42113104, 0.39067474, 0.29115453, ..., 0.32737136,\n",
       "         0.31432962, 0.31278938]],\n",
       "\n",
       "       [[0.90502101, 0.77221751, 0.62841004, ..., 0.30199876,\n",
       "         0.32142636, 0.10650334],\n",
       "        [0.79012549, 0.81146431, 0.71573222, ..., 0.3164157 ,\n",
       "         0.31298488, 0.1390717 ],\n",
       "        [0.78330541, 0.81744772, 0.69393301, ..., 0.26952028,\n",
       "         0.08852844, 0.13059638],\n",
       "        ...,\n",
       "        [0.13947497, 0.12282646, 0.10006622, ..., 0.19674815,\n",
       "         0.17514312, 0.16353646],\n",
       "        [0.14417261, 0.12871726, 0.0876339 , ..., 0.17797181,\n",
       "         0.15478659, 0.14331004],\n",
       "        [0.08457547, 0.08142399, 0.06058535, ..., 0.17881694,\n",
       "         0.1773766 , 0.14411069]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fbf3aa38-fcfc-4c23-946c-05b2d7930597' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fbf3aa38-fcfc-4c23-946c-05b2d7930597' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 32, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2005-09-01\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20050801 20050901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float64 0.4308 0.3221 0.2765 ... 0.1774 0.1441\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#interpolating to low resolution \n",
    "new_lon=np.arange(86.125,94,0.25)\n",
    "new_lat=np.arange(18.125,28,0.25)\n",
    "jjas_data = jjas_data.interp(lon=new_lon,lat=new_lat)\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "82d6b5d0",
   "metadata": {},
   "outputs": [
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       "\n",
       ".xr-attrs dt:hover span {\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[0.36424099, 0.37230343, 0.37556934, ..., 0.92753743, 0.87774413,\n",
       "        0.7401172 ],\n",
       "       [0.34889041, 0.35808088, 0.37171274, ..., 0.83811737, 0.85462887,\n",
       "        0.76615154],\n",
       "       [0.35725656, 0.3810575 , 0.38026427, ..., 0.77830642, 0.72501694,\n",
       "        0.73013412],\n",
       "       ...,\n",
       "       [0.30676399, 0.28645704, 0.2692595 , ..., 0.31475378, 0.32605261,\n",
       "        0.37545073],\n",
       "       [0.31019293, 0.28211734, 0.25408416, ..., 0.29370044, 0.29596804,\n",
       "        0.31669719],\n",
       "       [0.27611407, 0.25033029, 0.21442228, ..., 0.30539278, 0.32262473,\n",
       "        0.30854961]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'precip'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-21d5a5ba-0c3b-4453-85e1-91ce854f48d3' class='xr-array-in' type='checkbox' checked><label for='section-21d5a5ba-0c3b-4453-85e1-91ce854f48d3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.3642 0.3723 0.3756 0.392 0.4062 ... 0.2879 0.3054 0.3226 0.3085</span></div><div class='xr-array-data'><pre>array([[0.36424099, 0.37230343, 0.37556934, ..., 0.92753743, 0.87774413,\n",
       "        0.7401172 ],\n",
       "       [0.34889041, 0.35808088, 0.37171274, ..., 0.83811737, 0.85462887,\n",
       "        0.76615154],\n",
       "       [0.35725656, 0.3810575 , 0.38026427, ..., 0.77830642, 0.72501694,\n",
       "        0.73013412],\n",
       "       ...,\n",
       "       [0.30676399, 0.28645704, 0.2692595 , ..., 0.31475378, 0.32605261,\n",
       "        0.37545073],\n",
       "       [0.31019293, 0.28211734, 0.25408416, ..., 0.29370044, 0.29596804,\n",
       "        0.31669719],\n",
       "       [0.27611407, 0.25033029, 0.21442228, ..., 0.30539278, 0.32262473,\n",
       "        0.30854961]])</pre></div></div></li><li class='xr-section-item'><input id='section-5967c066-f02e-46f4-9ba0-c598d60b4527' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5967c066-f02e-46f4-9ba0-c598d60b4527' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-446c594d-f01a-4ab6-a2eb-24c9bd564983' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-446c594d-f01a-4ab6-a2eb-24c9bd564983' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a586ea9d-d975-463a-8743-51e7c4470dfe' class='xr-var-data-in' type='checkbox'><label for='data-a586ea9d-d975-463a-8743-51e7c4470dfe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-44dcfd7c-eb35-4c53-ae39-440f66644719' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44dcfd7c-eb35-4c53-ae39-440f66644719' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cbc5843-91d4-4ac3-a99e-13c1c63a0e95' class='xr-var-data-in' type='checkbox'><label for='data-1cbc5843-91d4-4ac3-a99e-13c1c63a0e95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-68e7e2f1-d90f-45f2-8c1e-bc30f64d88cf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-68e7e2f1-d90f-45f2-8c1e-bc30f64d88cf' 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([[0.36424099, 0.37230343, 0.37556934, ..., 0.92753743, 0.87774413,\n",
       "        0.7401172 ],\n",
       "       [0.34889041, 0.35808088, 0.37171274, ..., 0.83811737, 0.85462887,\n",
       "        0.76615154],\n",
       "       [0.35725656, 0.3810575 , 0.38026427, ..., 0.77830642, 0.72501694,\n",
       "        0.73013412],\n",
       "       ...,\n",
       "       [0.30676399, 0.28645704, 0.2692595 , ..., 0.31475378, 0.32605261,\n",
       "        0.37545073],\n",
       "       [0.31019293, 0.28211734, 0.25408416, ..., 0.29370044, 0.29596804,\n",
       "        0.31669719],\n",
       "       [0.27611407, 0.25033029, 0.21442228, ..., 0.30539278, 0.32262473,\n",
       "        0.30854961]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.precip.mean('time')\n",
    " \n",
    "jjas_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6d00cba7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#changing unit from mm/month to mm/day\n",
    "pr_mm = jjas_mean*24\n",
    "\n",
    "trmm = pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b6d9b2b3",
   "metadata": {},
   "outputs": [
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       "}\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: 1872, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) object 1850-01-16 12:00:00 ... 2005-12-16 12:00:00\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1850-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/29)\n",
       "    CDI:                    Climate Data Interface version 1.9.9rc1 (https://...\n",
       "    Conventions:            CF-1.4\n",
       "    history:                Fri Jul 22 11:03:06 2022: cdo remapnn,grid1.des g...\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    ...                     ...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6\n",
       "    CDO:                    Climate Data Operators version 1.9.9rc1 (https://...</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-356191bb-15f3-4e21-b6d9-040075ad393c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-356191bb-15f3-4e21-b6d9-040075ad393c' 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>: 1872</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-30c69837-9acc-4d79-95de-22fabfa6e0b4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-30c69837-9acc-4d79-95de-22fabfa6e0b4' 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'>object</div><div class='xr-var-preview xr-preview'>1850-01-16 12:00:00 ... 2005-12-...</div><input id='attrs-345aaf92-1d36-4114-9da9-ee0b29cdc47b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-345aaf92-1d36-4114-9da9-ee0b29cdc47b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afcd98ec-6081-4ad9-be5e-d17d0e83fab2' class='xr-var-data-in' type='checkbox'><label for='data-afcd98ec-6081-4ad9-be5e-d17d0e83fab2' 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([cftime.DatetimeNoLeap(1850, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1850, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1850, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeNoLeap(2005, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2005, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2005, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</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-25492d30-d78f-4a9f-9339-76dbe316c7bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25492d30-d78f-4a9f-9339-76dbe316c7bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c235b62f-1255-4499-82d1-34f1ae338421' class='xr-var-data-in' type='checkbox'><label for='data-c235b62f-1255-4499-82d1-34f1ae338421' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-4f83dec5-5508-492a-b8d8-685d47dda4d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f83dec5-5508-492a-b8d8-685d47dda4d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0e47578-af66-46c4-b676-698e3986a29e' class='xr-var-data-in' type='checkbox'><label for='data-e0e47578-af66-46c4-b676-698e3986a29e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-18ccc5af-f9d6-466b-8f53-c9166b430d06' class='xr-section-summary-in' type='checkbox'  checked><label for='section-18ccc5af-f9d6-466b-8f53-c9166b430d06' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b19f19fc-2f8d-4a1d-9221-4904cd90b0ea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b19f19fc-2f8d-4a1d-9221-4904cd90b0ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72c773fe-16b6-4563-9898-26abd329faa8' class='xr-var-data-in' type='checkbox'><label for='data-72c773fe-16b6-4563-9898-26abd329faa8' 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([[cftime.DatetimeNoLeap(1850, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fd13a725-0cc9-4cd8-96f5-e7f567ea9b20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd13a725-0cc9-4cd8-96f5-e7f567ea9b20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24674339-5928-4ff3-b14e-8f4d14902be5' class='xr-var-data-in' type='checkbox'><label for='data-24674339-5928-4ff3-b14e-8f4d14902be5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>original_name :</span></dt><dd>PRCP</dd><dt><span>original_units :</span></dt><dd>kg/m**2/s</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z altered by CMOR: Converted units from &#x27;kg/m**2/s&#x27; to &#x27;kg m-2 s-1&#x27;. 2011-04-23T09:11:46Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-04-23T09:11:46Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC5_historical_r0i0p0.nc areacella: areacella_fx_MIROC5_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[2396160 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9df9232a-69f6-4e9b-be03-87482be04982' class='xr-section-summary-in' type='checkbox'  ><label for='section-9df9232a-69f6-4e9b-be03-87482be04982' class='xr-section-summary' >Attributes: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>history :</span></dt><dd>Fri Jul 22 11:03:06 2022: cdo remapnn,grid1.des gcmensemble.nc gcmensemble_remap.nc\n",
       "Fri Jul 22 11:00:06 2022: cdo divc,3 final.nc gcmensemble.nc\n",
       "Fri Jul 22 10:53:46 2022: cdo -add gcm_miroc_remap1.nc -add gcm_mpi_remap.nc gcm_noresm_remap.nc final.nc\n",
       "Fri Jul 22 10:53:11 2022: cdo selyear,1850/2005 gcm_miroc_remap.nc gcm_miroc_remap1.nc\n",
       "Thu Jul 07 18:16:03 2022: cdo remapnn,grid1.des pr_Amon_MIROC5_historical_r1i1p1_185001-201212.nc gcm_miroc_remap.nc\n",
       "2011-04-23T09:11:46Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>source :</span></dt><dd>MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); ocean: COCO (COCO4.5, 256x224 L50); sea ice: COCO (COCO4.5); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T85L40)</dd><dt><span>institution :</span></dt><dd>AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)</dd><dt><span>institute_id :</span></dt><dd>MIROC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>MIROC5</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2; LU excludes change in lake fraction)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>150015.0</dd><dt><span>contact :</span></dt><dd>Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seita Emori (emori@nies.go.jp), Masayoshi Ishii (ism@jamstec.go.jp), Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp)</dd><dt><span>references :</span></dt><dd>Watanabe et al., 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>a906be44-c850-4f0c-b8c4-2b165051669a</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-04-23T09:11:46Z</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>MIROC5 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.6</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>"
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       "Attributes: (12/29)\n",
       "    CDI:                    Climate Data Interface version 1.9.9rc1 (https://...\n",
       "    Conventions:            CF-1.4\n",
       "    history:                Fri Jul 22 11:03:06 2022: cdo remapnn,grid1.des g...\n",
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     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "#opening gcm miroc5 data\n",
    "\n",
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/GCM/ensemble-average/gcmensemble_remap.nc')\n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e0f877d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/mkibria/miniconda3/envs/esp-sp/lib/python3.9/site-packages/xarray/coding/times.py:351: FutureWarning: Index.ravel returning ndarray is deprecated; in a future version this will return a view on self.\n",
      "  sample = dates.ravel()[0]\n",
      "/tmp/ipykernel_9756/1463838701.py:3: RuntimeWarning: Converting a CFTimeIndex with dates from a non-standard calendar, 'noleap', to a pandas.DatetimeIndex, which uses dates from the standard calendar.  This may lead to subtle errors in operations that depend on the length of time between dates.\n",
      "  datetimeindex = data.indexes['time'].to_datetimeindex()\n"
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       "Dimensions:    (time: 1872, bnds: 2, lon: 32, lat: 40)\n",
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       "Attributes: (12/29)\n",
       "    CDI:                    Climate Data Interface version 1.9.9rc1 (https://...\n",
       "    Conventions:            CF-1.4\n",
       "    history:                Fri Jul 22 11:03:06 2022: cdo remapnn,grid1.des g...\n",
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       "    institute_id:           MIROC\n",
       "    ...                     ...\n",
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       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6\n",
       "    CDO:                    Climate Data Operators version 1.9.9rc1 (https://...</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-c4d1574f-e1a4-410c-98fc-5126a0e4ab29' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c4d1574f-e1a4-410c-98fc-5126a0e4ab29' 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>: 1872</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cd6d2212-008e-41c1-bbff-a8dbed684e99' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cd6d2212-008e-41c1-bbff-a8dbed684e99' 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'>1850-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-cc7b37c5-625b-4f1e-847d-7beec23df5d4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cc7b37c5-625b-4f1e-847d-7beec23df5d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-017995ac-4962-47e6-931e-8e516ffe2cb6' class='xr-var-data-in' type='checkbox'><label for='data-017995ac-4962-47e6-931e-8e516ffe2cb6' 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;1850-01-16T12:00:00.000000000&#x27;, &#x27;1850-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1850-03-16T12:00:00.000000000&#x27;, ..., &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-16T00:00:00.000000000&#x27;, &#x27;2005-12-16T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-ab1aace6-418d-45a2-9590-2888646b9042' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab1aace6-418d-45a2-9590-2888646b9042' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d86cba81-90d6-4c6f-8f7f-e40db271765c' class='xr-var-data-in' type='checkbox'><label for='data-d86cba81-90d6-4c6f-8f7f-e40db271765c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-81c1cc27-1845-4b60-adf1-5a636873aa14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81c1cc27-1845-4b60-adf1-5a636873aa14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af6387d6-f79c-416f-b26d-5cbccd3411f8' class='xr-var-data-in' type='checkbox'><label for='data-af6387d6-f79c-416f-b26d-5cbccd3411f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0d8710e0-9767-46c6-9d34-446edf16ebc1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0d8710e0-9767-46c6-9d34-446edf16ebc1' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1850-01-01 00:00:00 ... 2006-01-...</div><input id='attrs-76759a6a-22a7-44a1-b7aa-a55e9f3dc0f9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-76759a6a-22a7-44a1-b7aa-a55e9f3dc0f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fca0f287-c86d-4b4f-b223-9f75f0278ced' class='xr-var-data-in' type='checkbox'><label for='data-fca0f287-c86d-4b4f-b223-9f75f0278ced' 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([[cftime.DatetimeNoLeap(1850, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1f234296-6e23-4c2f-9bc0-63d8d4820627' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f234296-6e23-4c2f-9bc0-63d8d4820627' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6311535c-fb4a-4f84-a37b-9493086c0487' class='xr-var-data-in' type='checkbox'><label for='data-6311535c-fb4a-4f84-a37b-9493086c0487' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>original_name :</span></dt><dd>PRCP</dd><dt><span>original_units :</span></dt><dd>kg/m**2/s</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z altered by CMOR: Converted units from &#x27;kg/m**2/s&#x27; to &#x27;kg m-2 s-1&#x27;. 2011-04-23T09:11:46Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-04-23T09:11:46Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC5_historical_r0i0p0.nc areacella: areacella_fx_MIROC5_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[2396160 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-722da94c-a1fd-4090-95c9-a55c9faf9f7a' class='xr-section-summary-in' type='checkbox'  ><label for='section-722da94c-a1fd-4090-95c9-a55c9faf9f7a' class='xr-section-summary' >Attributes: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>history :</span></dt><dd>Fri Jul 22 11:03:06 2022: cdo remapnn,grid1.des gcmensemble.nc gcmensemble_remap.nc\n",
       "Fri Jul 22 11:00:06 2022: cdo divc,3 final.nc gcmensemble.nc\n",
       "Fri Jul 22 10:53:46 2022: cdo -add gcm_miroc_remap1.nc -add gcm_mpi_remap.nc gcm_noresm_remap.nc final.nc\n",
       "Fri Jul 22 10:53:11 2022: cdo selyear,1850/2005 gcm_miroc_remap.nc gcm_miroc_remap1.nc\n",
       "Thu Jul 07 18:16:03 2022: cdo remapnn,grid1.des pr_Amon_MIROC5_historical_r1i1p1_185001-201212.nc gcm_miroc_remap.nc\n",
       "2011-04-23T09:11:46Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>source :</span></dt><dd>MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); ocean: COCO (COCO4.5, 256x224 L50); sea ice: COCO (COCO4.5); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T85L40)</dd><dt><span>institution :</span></dt><dd>AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)</dd><dt><span>institute_id :</span></dt><dd>MIROC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>MIROC5</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2; LU excludes change in lake fraction)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>150015.0</dd><dt><span>contact :</span></dt><dd>Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seita Emori (emori@nies.go.jp), Masayoshi Ishii (ism@jamstec.go.jp), Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp)</dd><dt><span>references :</span></dt><dd>Watanabe et al., 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>a906be44-c850-4f0c-b8c4-2b165051669a</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-04-23T09:11:46Z</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>MIROC5 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.6</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: 1872, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1850-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1850-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/29)\n",
       "    CDI:                    Climate Data Interface version 1.9.9rc1 (https://...\n",
       "    Conventions:            CF-1.4\n",
       "    history:                Fri Jul 22 11:03:06 2022: cdo remapnn,grid1.des g...\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    ...                     ...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6\n",
       "    CDO:                    Climate Data Operators version 1.9.9rc1 (https://..."
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#changing time dim to datetime64[ns] dtype\n",
    "\n",
    "datetimeindex = data.indexes['time'].to_datetimeindex()\n",
    "data['time']=datetimeindex\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "cafd5692",
   "metadata": {},
   "outputs": [
    {
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       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 95, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-01-16T12:00:00 ... 2005-11-16\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1998-01-01 00:00:00 ... 2005-12-01 00:00:00\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/29)\n",
       "    CDI:                    Climate Data Interface version 1.9.9rc1 (https://...\n",
       "    Conventions:            CF-1.4\n",
       "    history:                Fri Jul 22 11:03:06 2022: cdo remapnn,grid1.des g...\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    ...                     ...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6\n",
       "    CDO:                    Climate Data Operators version 1.9.9rc1 (https://...</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-6bae37b9-cac8-4ed4-9486-a77da880e1d1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6bae37b9-cac8-4ed4-9486-a77da880e1d1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 95</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-686ac26c-184f-43c4-ab78-1c61d945d5a1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-686ac26c-184f-43c4-ab78-1c61d945d5a1' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-01-16T12:00:00 ... 2005-11-16</div><input id='attrs-8cf36ffc-82b1-4150-a885-82177a64c61e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8cf36ffc-82b1-4150-a885-82177a64c61e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba69ed3e-5ae7-4de0-995e-281349426c49' class='xr-var-data-in' type='checkbox'><label for='data-ba69ed3e-5ae7-4de0-995e-281349426c49' 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;1998-01-16T12:00:00.000000000&#x27;, &#x27;1998-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-03-16T12:00:00.000000000&#x27;, &#x27;1998-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-05-16T12:00:00.000000000&#x27;, &#x27;1998-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-07-16T12:00:00.000000000&#x27;, &#x27;1998-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-09-16T00:00:00.000000000&#x27;, &#x27;1998-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-11-16T00:00:00.000000000&#x27;, &#x27;1998-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-01-16T12:00:00.000000000&#x27;, &#x27;1999-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-03-16T12:00:00.000000000&#x27;, &#x27;1999-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-05-16T12:00:00.000000000&#x27;, &#x27;1999-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-07-16T12:00:00.000000000&#x27;, &#x27;1999-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-09-16T00:00:00.000000000&#x27;, &#x27;1999-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-11-16T00:00:00.000000000&#x27;, &#x27;1999-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-01-16T12:00:00.000000000&#x27;, &#x27;2000-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-03-16T12:00:00.000000000&#x27;, &#x27;2000-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-05-16T12:00:00.000000000&#x27;, &#x27;2000-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-07-16T12:00:00.000000000&#x27;, &#x27;2000-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-09-16T00:00:00.000000000&#x27;, &#x27;2000-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-11-16T00:00:00.000000000&#x27;, &#x27;2000-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-01-16T12:00:00.000000000&#x27;, &#x27;2001-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-03-16T12:00:00.000000000&#x27;, &#x27;2001-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-05-16T12:00:00.000000000&#x27;, &#x27;2001-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-07-16T12:00:00.000000000&#x27;, &#x27;2001-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-09-16T00:00:00.000000000&#x27;, &#x27;2001-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-11-16T00:00:00.000000000&#x27;, &#x27;2001-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-01-16T12:00:00.000000000&#x27;, &#x27;2002-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-03-16T12:00:00.000000000&#x27;, &#x27;2002-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-05-16T12:00:00.000000000&#x27;, &#x27;2002-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-07-16T12:00:00.000000000&#x27;, &#x27;2002-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-09-16T00:00:00.000000000&#x27;, &#x27;2002-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-11-16T00:00:00.000000000&#x27;, &#x27;2002-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-01-16T12:00:00.000000000&#x27;, &#x27;2003-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-03-16T12:00:00.000000000&#x27;, &#x27;2003-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-05-16T12:00:00.000000000&#x27;, &#x27;2003-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-07-16T12:00:00.000000000&#x27;, &#x27;2003-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-09-16T00:00:00.000000000&#x27;, &#x27;2003-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-11-16T00:00:00.000000000&#x27;, &#x27;2003-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-01-16T12:00:00.000000000&#x27;, &#x27;2004-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-03-16T12:00:00.000000000&#x27;, &#x27;2004-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-05-16T12:00:00.000000000&#x27;, &#x27;2004-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-07-16T12:00:00.000000000&#x27;, &#x27;2004-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-09-16T00:00:00.000000000&#x27;, &#x27;2004-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-11-16T00:00:00.000000000&#x27;, &#x27;2004-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-01-16T12:00:00.000000000&#x27;, &#x27;2005-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-03-16T12:00:00.000000000&#x27;, &#x27;2005-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-05-16T12:00:00.000000000&#x27;, &#x27;2005-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-07-16T12:00:00.000000000&#x27;, &#x27;2005-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-09-16T00:00:00.000000000&#x27;, &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-16T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-5791aefc-fb62-427f-aaf3-b031b59ae018' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5791aefc-fb62-427f-aaf3-b031b59ae018' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eab4e359-8c62-4747-9af7-f467326e5e8c' class='xr-var-data-in' type='checkbox'><label for='data-eab4e359-8c62-4747-9af7-f467326e5e8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-2c19fc93-2a23-4cad-ba6f-2de278be3094' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c19fc93-2a23-4cad-ba6f-2de278be3094' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-875835cc-00e9-4755-823e-5829f887d978' class='xr-var-data-in' type='checkbox'><label for='data-875835cc-00e9-4755-823e-5829f887d978' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4c844206-8dc3-49e5-a6e2-0b737b29aea6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4c844206-8dc3-49e5-a6e2-0b737b29aea6' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1998-01-01 00:00:00 ... 2005-12-...</div><input id='attrs-9e7e3372-7223-4ddf-903d-febdd7be6c92' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9e7e3372-7223-4ddf-903d-febdd7be6c92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1d2817f-9eaa-4c53-a2e6-47d6c1d31574' class='xr-var-data-in' type='checkbox'><label for='data-b1d2817f-9eaa-4c53-a2e6-47d6c1d31574' 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([[cftime.DatetimeNoLeap(1998, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 4, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 5, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 6, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 4, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 5, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 6, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 4, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 5, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 6, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 4, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 5, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 6, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 4, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 5, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 6, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 4, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 5, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 6, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 4, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 5, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 6, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 4, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 5, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 6, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ab20abfa-63c2-4665-9202-c79e2cda4c00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab20abfa-63c2-4665-9202-c79e2cda4c00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f0869e5-1789-44dc-8902-724c376b831f' class='xr-var-data-in' type='checkbox'><label for='data-1f0869e5-1789-44dc-8902-724c376b831f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>original_name :</span></dt><dd>PRCP</dd><dt><span>original_units :</span></dt><dd>kg/m**2/s</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z altered by CMOR: Converted units from &#x27;kg/m**2/s&#x27; to &#x27;kg m-2 s-1&#x27;. 2011-04-23T09:11:46Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-04-23T09:11:46Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC5_historical_r0i0p0.nc areacella: areacella_fx_MIROC5_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[121600 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-351f10d7-fb98-4125-98b6-a8b4f1a47ba7' class='xr-section-summary-in' type='checkbox'  ><label for='section-351f10d7-fb98-4125-98b6-a8b4f1a47ba7' class='xr-section-summary' >Attributes: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>history :</span></dt><dd>Fri Jul 22 11:03:06 2022: cdo remapnn,grid1.des gcmensemble.nc gcmensemble_remap.nc\n",
       "Fri Jul 22 11:00:06 2022: cdo divc,3 final.nc gcmensemble.nc\n",
       "Fri Jul 22 10:53:46 2022: cdo -add gcm_miroc_remap1.nc -add gcm_mpi_remap.nc gcm_noresm_remap.nc final.nc\n",
       "Fri Jul 22 10:53:11 2022: cdo selyear,1850/2005 gcm_miroc_remap.nc gcm_miroc_remap1.nc\n",
       "Thu Jul 07 18:16:03 2022: cdo remapnn,grid1.des pr_Amon_MIROC5_historical_r1i1p1_185001-201212.nc gcm_miroc_remap.nc\n",
       "2011-04-23T09:11:46Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>source :</span></dt><dd>MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); ocean: COCO (COCO4.5, 256x224 L50); sea ice: COCO (COCO4.5); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T85L40)</dd><dt><span>institution :</span></dt><dd>AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)</dd><dt><span>institute_id :</span></dt><dd>MIROC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>MIROC5</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2; LU excludes change in lake fraction)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>150015.0</dd><dt><span>contact :</span></dt><dd>Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seita Emori (emori@nies.go.jp), Masayoshi Ishii (ism@jamstec.go.jp), Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp)</dd><dt><span>references :</span></dt><dd>Watanabe et al., 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>a906be44-c850-4f0c-b8c4-2b165051669a</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-04-23T09:11:46Z</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>MIROC5 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.6</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 95, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-01-16T12:00:00 ... 2005-11-16\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1998-01-01 00:00:00 ... 2005-12-01 00:00:00\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/29)\n",
       "    CDI:                    Climate Data Interface version 1.9.9rc1 (https://...\n",
       "    Conventions:            CF-1.4\n",
       "    history:                Fri Jul 22 11:03:06 2022: cdo remapnn,grid1.des g...\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    ...                     ...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6\n",
       "    CDO:                    Climate Data Operators version 1.9.9rc1 (https://..."
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1998-01-16T12:00:00.000000000','2005-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c811b0f2",
   "metadata": {},
   "outputs": [
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       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 32, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-06-16 ... 2005-09-16\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1998-06-01 00:00:00 ... 2005-10-01 00:00:00\n",
       "    pr         (time, lat, lon) float32 8.296e-05 0.0001019 ... 0.0001658\n",
       "Attributes: (12/29)\n",
       "    CDI:                    Climate Data Interface version 1.9.9rc1 (https://...\n",
       "    Conventions:            CF-1.4\n",
       "    history:                Fri Jul 22 11:03:06 2022: cdo remapnn,grid1.des g...\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    ...                     ...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6\n",
       "    CDO:                    Climate Data Operators version 1.9.9rc1 (https://...</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-a3a2b0e9-9bdd-4ec6-a270-177dba08a8ff' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a3a2b0e9-9bdd-4ec6-a270-177dba08a8ff' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 32</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8ff1103c-1dac-415b-a7bc-f527a21d7d22' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8ff1103c-1dac-415b-a7bc-f527a21d7d22' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-06-16 ... 2005-09-16</div><input id='attrs-49b52b59-a8e5-47d6-984e-fef34b0fd2a4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-49b52b59-a8e5-47d6-984e-fef34b0fd2a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e131eed5-fd65-47b2-8576-83c940d5c3fb' class='xr-var-data-in' type='checkbox'><label for='data-e131eed5-fd65-47b2-8576-83c940d5c3fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T12:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T12:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T12:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T12:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T12:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T12:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T12:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T12:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-6799740e-4915-4527-95cc-759023c86f38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6799740e-4915-4527-95cc-759023c86f38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8f548c4-fe5e-4698-8b87-14d56e159dc6' class='xr-var-data-in' type='checkbox'><label for='data-c8f548c4-fe5e-4698-8b87-14d56e159dc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-e7994598-926f-4f27-b172-3189f8e61a5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7994598-926f-4f27-b172-3189f8e61a5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04f1c14a-8d40-45a3-a2b9-4598b41fc454' class='xr-var-data-in' type='checkbox'><label for='data-04f1c14a-8d40-45a3-a2b9-4598b41fc454' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4206d862-527e-4f87-8a3b-2d230c7ce726' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4206d862-527e-4f87-8a3b-2d230c7ce726' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1998-06-01 00:00:00 ... 2005-10-...</div><input id='attrs-3172f1c5-dfcd-49b8-8cfb-714136f0a05b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3172f1c5-dfcd-49b8-8cfb-714136f0a05b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-859750e6-54f5-4618-8f24-cc6114978e76' class='xr-var-data-in' type='checkbox'><label for='data-859750e6-54f5-4618-8f24-cc6114978e76' 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([[cftime.DatetimeNoLeap(1998, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pr</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f45aa442-9847-49df-a6cf-566cc8f4b13e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f45aa442-9847-49df-a6cf-566cc8f4b13e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4722f46-f882-4461-b8b0-7ba8c744344c' class='xr-var-data-in' type='checkbox'><label for='data-d4722f46-f882-4461-b8b0-7ba8c744344c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>original_name :</span></dt><dd>PRCP</dd><dt><span>original_units :</span></dt><dd>kg/m**2/s</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z altered by CMOR: Converted units from &#x27;kg/m**2/s&#x27; to &#x27;kg m-2 s-1&#x27;. 2011-04-23T09:11:46Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-04-23T09:11:46Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC5_historical_r0i0p0.nc areacella: areacella_fx_MIROC5_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[[8.296294e-05, 1.018967e-04, ..., 1.348738e-04, 1.357631e-04],\n",
       "        [9.163403e-05, 1.105678e-04, ..., 1.159868e-04, 1.168761e-04],\n",
       "        ...,\n",
       "        [3.290157e-04, 3.950166e-04, ..., 3.438387e-04, 3.100491e-04],\n",
       "        [3.290157e-04, 3.950166e-04, ..., 3.438387e-04, 3.100491e-04]],\n",
       "\n",
       "       [[2.225823e-04, 2.146030e-04, ..., 2.139445e-04, 2.111796e-04],\n",
       "        [2.143172e-04, 2.063379e-04, ..., 1.824938e-04, 1.797289e-04],\n",
       "        ...,\n",
       "        [3.127586e-04, 3.357712e-04, ..., 2.012414e-04, 1.825565e-04],\n",
       "        [3.127586e-04, 3.357712e-04, ..., 2.012414e-04, 1.825565e-04]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[7.653073e-05, 7.682089e-05, ..., 1.805117e-04, 1.915346e-04],\n",
       "        [7.976649e-05, 8.005666e-05, ..., 1.852832e-04, 1.963061e-04],\n",
       "        ...,\n",
       "        [2.599293e-04, 2.723527e-04, ..., 2.025903e-04, 1.933978e-04],\n",
       "        [2.599293e-04, 2.723527e-04, ..., 2.025903e-04, 1.933978e-04]],\n",
       "\n",
       "       [[1.367931e-04, 1.243391e-04, ..., 1.131263e-04, 1.078467e-04],\n",
       "        [1.469025e-04, 1.344486e-04, ..., 1.091085e-04, 1.038289e-04],\n",
       "        ...,\n",
       "        [1.532566e-04, 1.986685e-04, ..., 2.034647e-04, 1.657806e-04],\n",
       "        [1.532566e-04, 1.986685e-04, ..., 2.034647e-04, 1.657806e-04]]],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6b4c659e-95db-44f0-8f4b-d81b1ae91f49' class='xr-section-summary-in' type='checkbox'  ><label for='section-6b4c659e-95db-44f0-8f4b-d81b1ae91f49' class='xr-section-summary' >Attributes: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>history :</span></dt><dd>Fri Jul 22 11:03:06 2022: cdo remapnn,grid1.des gcmensemble.nc gcmensemble_remap.nc\n",
       "Fri Jul 22 11:00:06 2022: cdo divc,3 final.nc gcmensemble.nc\n",
       "Fri Jul 22 10:53:46 2022: cdo -add gcm_miroc_remap1.nc -add gcm_mpi_remap.nc gcm_noresm_remap.nc final.nc\n",
       "Fri Jul 22 10:53:11 2022: cdo selyear,1850/2005 gcm_miroc_remap.nc gcm_miroc_remap1.nc\n",
       "Thu Jul 07 18:16:03 2022: cdo remapnn,grid1.des pr_Amon_MIROC5_historical_r1i1p1_185001-201212.nc gcm_miroc_remap.nc\n",
       "2011-04-23T09:11:46Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>source :</span></dt><dd>MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); ocean: COCO (COCO4.5, 256x224 L50); sea ice: COCO (COCO4.5); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T85L40)</dd><dt><span>institution :</span></dt><dd>AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)</dd><dt><span>institute_id :</span></dt><dd>MIROC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>MIROC5</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2; LU excludes change in lake fraction)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>150015.0</dd><dt><span>contact :</span></dt><dd>Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seita Emori (emori@nies.go.jp), Masayoshi Ishii (ism@jamstec.go.jp), Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp)</dd><dt><span>references :</span></dt><dd>Watanabe et al., 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>a906be44-c850-4f0c-b8c4-2b165051669a</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-04-23T09:11:46Z</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>MIROC5 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.6</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 32, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-06-16 ... 2005-09-16\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1998-06-01 00:00:00 ... 2005-10-01 00:00:00\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/29)\n",
       "    CDI:                    Climate Data Interface version 1.9.9rc1 (https://...\n",
       "    Conventions:            CF-1.4\n",
       "    history:                Fri Jul 22 11:03:06 2022: cdo remapnn,grid1.des g...\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    ...                     ...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6\n",
       "    CDO:                    Climate Data Operators version 1.9.9rc1 (https://..."
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting only JJAS months\n",
    "\n",
    "def is_jjas(month):\n",
    "    return (month >= 6) & (month <= 9)\n",
    "\n",
    "jjas_data = data.sel(time=is_jjas(data['time.month']))\n",
    "\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 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": [],
   "source": [
    "#to select the x and y coordinates\n",
    "#jjas_data = jjas_data.sel(x=slice(1000000.,5275000.),y=slice(2000000.,4175000.))\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "18269e45",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[0.00012306, 0.0001238 , 0.00012262, ..., 0.00014902, 0.00015238,\n",
       "        0.00015516],\n",
       "       [0.00012633, 0.00012707, 0.00012656, ..., 0.00016257, 0.00014179,\n",
       "        0.00014457],\n",
       "       [0.00012633, 0.00012707, 0.00012656, ..., 0.00016257, 0.00014179,\n",
       "        0.00014457],\n",
       "       ...,\n",
       "       [0.00024797, 0.00027797, 0.00028423, ..., 0.00021654, 0.00022355,\n",
       "        0.00020459],\n",
       "       [0.00024797, 0.00027797, 0.00028423, ..., 0.00021654, 0.00022355,\n",
       "        0.00020459],\n",
       "       [0.00024797, 0.00027797, 0.00028423, ..., 0.00021654, 0.00022355,\n",
       "        0.00020459]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a10197a9-add0-4e92-a284-4442d8f959a3' class='xr-array-in' type='checkbox' checked><label for='section-a10197a9-add0-4e92-a284-4442d8f959a3' 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>0.0001231 0.0001238 0.0001226 ... 0.0002165 0.0002235 0.0002046</span></div><div class='xr-array-data'><pre>array([[0.00012306, 0.0001238 , 0.00012262, ..., 0.00014902, 0.00015238,\n",
       "        0.00015516],\n",
       "       [0.00012633, 0.00012707, 0.00012656, ..., 0.00016257, 0.00014179,\n",
       "        0.00014457],\n",
       "       [0.00012633, 0.00012707, 0.00012656, ..., 0.00016257, 0.00014179,\n",
       "        0.00014457],\n",
       "       ...,\n",
       "       [0.00024797, 0.00027797, 0.00028423, ..., 0.00021654, 0.00022355,\n",
       "        0.00020459],\n",
       "       [0.00024797, 0.00027797, 0.00028423, ..., 0.00021654, 0.00022355,\n",
       "        0.00020459],\n",
       "       [0.00024797, 0.00027797, 0.00028423, ..., 0.00021654, 0.00022355,\n",
       "        0.00020459]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-f9ff09c7-b0f4-41a0-8102-5e9ffbd6bb0d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f9ff09c7-b0f4-41a0-8102-5e9ffbd6bb0d' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-5e55a5fd-7358-47dc-b9dc-893b28937135' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e55a5fd-7358-47dc-b9dc-893b28937135' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85a823cf-7147-4401-8343-acae9b476cfc' class='xr-var-data-in' type='checkbox'><label for='data-85a823cf-7147-4401-8343-acae9b476cfc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-1b029436-9977-46f5-8119-7108b9053783' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b029436-9977-46f5-8119-7108b9053783' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68a2dd76-7593-4b76-95f4-9ccdbcaa32a8' class='xr-var-data-in' type='checkbox'><label for='data-68a2dd76-7593-4b76-95f4-9ccdbcaa32a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-012511fc-c95f-40bf-a66d-eda90ea9633a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-012511fc-c95f-40bf-a66d-eda90ea9633a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (lat: 40, lon: 32)>\n",
       "array([[0.00012306, 0.0001238 , 0.00012262, ..., 0.00014902, 0.00015238,\n",
       "        0.00015516],\n",
       "       [0.00012633, 0.00012707, 0.00012656, ..., 0.00016257, 0.00014179,\n",
       "        0.00014457],\n",
       "       [0.00012633, 0.00012707, 0.00012656, ..., 0.00016257, 0.00014179,\n",
       "        0.00014457],\n",
       "       ...,\n",
       "       [0.00024797, 0.00027797, 0.00028423, ..., 0.00021654, 0.00022355,\n",
       "        0.00020459],\n",
       "       [0.00024797, 0.00027797, 0.00028423, ..., 0.00021654, 0.00022355,\n",
       "        0.00020459],\n",
       "       [0.00024797, 0.00027797, 0.00028423, ..., 0.00021654, 0.00022355,\n",
       "        0.00020459]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.pr.mean('time')\n",
    " \n",
    "jjas_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6f88bd72",
   "metadata": {},
   "outputs": [
    {
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       "  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; (lat: 40, lon: 32)&gt;\n",
       "array([[10.63218182, 10.6966001 , 10.59427466, ..., 12.87531238,\n",
       "        13.16566234, 13.40615591],\n",
       "       [10.91483971, 10.97925548, 10.93476266, ..., 14.04564399,\n",
       "        12.25049682, 12.49099164],\n",
       "       [10.91483971, 10.97925548, 10.93476266, ..., 14.04564399,\n",
       "        12.25049682, 12.49099164],\n",
       "       ...,\n",
       "       [21.42494665, 24.01629249, 24.55727225, ..., 18.70864928,\n",
       "        19.31468854, 17.67651471],\n",
       "       [21.42494665, 24.01629249, 24.55727225, ..., 18.70864928,\n",
       "        19.31468854, 17.67651471],\n",
       "       [21.42494665, 24.01629249, 24.55727225, ..., 18.70864928,\n",
       "        19.31468854, 17.67651471]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2fb41ea2-b2ec-40e4-a291-9d63f3451245' class='xr-array-in' type='checkbox' checked><label for='section-2fb41ea2-b2ec-40e4-a291-9d63f3451245' 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>10.63 10.7 10.59 10.59 10.59 11.32 ... 18.71 18.71 18.71 19.31 17.68</span></div><div class='xr-array-data'><pre>array([[10.63218182, 10.6966001 , 10.59427466, ..., 12.87531238,\n",
       "        13.16566234, 13.40615591],\n",
       "       [10.91483971, 10.97925548, 10.93476266, ..., 14.04564399,\n",
       "        12.25049682, 12.49099164],\n",
       "       [10.91483971, 10.97925548, 10.93476266, ..., 14.04564399,\n",
       "        12.25049682, 12.49099164],\n",
       "       ...,\n",
       "       [21.42494665, 24.01629249, 24.55727225, ..., 18.70864928,\n",
       "        19.31468854, 17.67651471],\n",
       "       [21.42494665, 24.01629249, 24.55727225, ..., 18.70864928,\n",
       "        19.31468854, 17.67651471],\n",
       "       [21.42494665, 24.01629249, 24.55727225, ..., 18.70864928,\n",
       "        19.31468854, 17.67651471]])</pre></div></div></li><li class='xr-section-item'><input id='section-7a439810-c3ba-4a81-b4e2-a23efe2b9141' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7a439810-c3ba-4a81-b4e2-a23efe2b9141' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-c26fa3de-2cb5-4887-b9a7-1f09b4e6f53f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c26fa3de-2cb5-4887-b9a7-1f09b4e6f53f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd0a09b7-a3bd-4414-b673-0980314ee2b8' class='xr-var-data-in' type='checkbox'><label for='data-dd0a09b7-a3bd-4414-b673-0980314ee2b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-087c68e0-9f40-4847-83a9-84297d7784c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-087c68e0-9f40-4847-83a9-84297d7784c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19fed580-4b42-478d-9fa7-81bbdf8a72ed' class='xr-var-data-in' type='checkbox'><label for='data-19fed580-4b42-478d-9fa7-81bbdf8a72ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2048a745-3bc2-4878-9d28-66b456f89c2f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2048a745-3bc2-4878-9d28-66b456f89c2f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (lat: 40, lon: 32)>\n",
       "array([[10.63218182, 10.6966001 , 10.59427466, ..., 12.87531238,\n",
       "        13.16566234, 13.40615591],\n",
       "       [10.91483971, 10.97925548, 10.93476266, ..., 14.04564399,\n",
       "        12.25049682, 12.49099164],\n",
       "       [10.91483971, 10.97925548, 10.93476266, ..., 14.04564399,\n",
       "        12.25049682, 12.49099164],\n",
       "       ...,\n",
       "       [21.42494665, 24.01629249, 24.55727225, ..., 18.70864928,\n",
       "        19.31468854, 17.67651471],\n",
       "       [21.42494665, 24.01629249, 24.55727225, ..., 18.70864928,\n",
       "        19.31468854, 17.67651471],\n",
       "       [21.42494665, 24.01629249, 24.55727225, ..., 18.70864928,\n",
       "        19.31468854, 17.67651471]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "miroc = jjas_mean*86400\n",
    "miroc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6c5c5811",
   "metadata": {},
   "outputs": [
    {
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       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (lat: 40, lon: 32)&gt;\n",
       "array([[ 1.89039795,  1.7613177 ,  1.58061057, ..., -9.38558585,\n",
       "        -7.90019679, -4.35665695],\n",
       "       [ 2.54146977,  2.38531439,  2.01365688, ..., -6.06917299,\n",
       "        -8.26059616, -5.89664525],\n",
       "       [ 2.34068222,  1.83387556,  1.80842024, ..., -4.63371018,\n",
       "        -5.14990963, -5.03222734],\n",
       "       ...,\n",
       "       [14.06261101, 17.14132353, 18.09504435, ..., 11.1545586 ,\n",
       "        11.48942591,  8.66569712],\n",
       "       [13.98031639, 17.24547634, 18.45925235, ..., 11.65983868,\n",
       "        12.2114556 , 10.07578222],\n",
       "       [14.79820887, 18.00836554, 19.41113762, ..., 11.37922262,\n",
       "        11.57169501, 10.27132408]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-bd8c065b-4208-430f-a47a-1542ea56bd1c' class='xr-array-in' type='checkbox' checked><label for='section-bd8c065b-4208-430f-a47a-1542ea56bd1c' 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>1.89 1.761 1.581 1.187 0.8444 1.765 ... 12.65 11.8 11.38 11.57 10.27</span></div><div class='xr-array-data'><pre>array([[ 1.89039795,  1.7613177 ,  1.58061057, ..., -9.38558585,\n",
       "        -7.90019679, -4.35665695],\n",
       "       [ 2.54146977,  2.38531439,  2.01365688, ..., -6.06917299,\n",
       "        -8.26059616, -5.89664525],\n",
       "       [ 2.34068222,  1.83387556,  1.80842024, ..., -4.63371018,\n",
       "        -5.14990963, -5.03222734],\n",
       "       ...,\n",
       "       [14.06261101, 17.14132353, 18.09504435, ..., 11.1545586 ,\n",
       "        11.48942591,  8.66569712],\n",
       "       [13.98031639, 17.24547634, 18.45925235, ..., 11.65983868,\n",
       "        12.2114556 , 10.07578222],\n",
       "       [14.79820887, 18.00836554, 19.41113762, ..., 11.37922262,\n",
       "        11.57169501, 10.27132408]])</pre></div></div></li><li class='xr-section-item'><input id='section-026cb7d3-9ffe-492c-8ac7-f12819c25927' class='xr-section-summary-in' type='checkbox'  checked><label for='section-026cb7d3-9ffe-492c-8ac7-f12819c25927' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-11fde59f-0ab1-416f-90d5-37aeb37f5c90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11fde59f-0ab1-416f-90d5-37aeb37f5c90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e65d89e-a684-4703-a490-824f1573e191' class='xr-var-data-in' type='checkbox'><label for='data-9e65d89e-a684-4703-a490-824f1573e191' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-01c1132d-46d8-4621-8eec-9ae454a3a3a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01c1132d-46d8-4621-8eec-9ae454a3a3a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e940553-81af-40fd-8d82-e1825c939d5b' class='xr-var-data-in' type='checkbox'><label for='data-4e940553-81af-40fd-8d82-e1825c939d5b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dfa51c3f-5ae6-45b6-813c-96a82340fd74' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dfa51c3f-5ae6-45b6-813c-96a82340fd74' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (lat: 40, lon: 32)>\n",
       "array([[ 1.89039795,  1.7613177 ,  1.58061057, ..., -9.38558585,\n",
       "        -7.90019679, -4.35665695],\n",
       "       [ 2.54146977,  2.38531439,  2.01365688, ..., -6.06917299,\n",
       "        -8.26059616, -5.89664525],\n",
       "       [ 2.34068222,  1.83387556,  1.80842024, ..., -4.63371018,\n",
       "        -5.14990963, -5.03222734],\n",
       "       ...,\n",
       "       [14.06261101, 17.14132353, 18.09504435, ..., 11.1545586 ,\n",
       "        11.48942591,  8.66569712],\n",
       "       [13.98031639, 17.24547634, 18.45925235, ..., 11.65983868,\n",
       "        12.2114556 , 10.07578222],\n",
       "       [14.79820887, 18.00836554, 19.41113762, ..., 11.37922262,\n",
       "        11.57169501, 10.27132408]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias = miroc - trmm\n",
    "bias"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "445388ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (lat: 40, lon: 32)&gt;\n",
       "array([[ 21.6248534 ,  19.71194218,  17.53571642, ..., -42.16175715,\n",
       "        -37.50237169, -24.52684146],\n",
       "       [ 30.35181519,  27.75576844,  22.57183054, ..., -30.17264831,\n",
       "        -40.27379802, -32.06853216],\n",
       "       [ 27.29926783,  20.05248091,  19.81538889, ..., -24.80658664,\n",
       "        -29.59649042, -28.71748248],\n",
       "       ...,\n",
       "       [191.00746949, 249.32946805, 280.01247598, ..., 147.66249291,\n",
       "        146.82479635,  96.16993161],\n",
       "       [187.79060756, 254.70306647, 302.70895537, ..., 165.41568998,\n",
       "        171.91405236, 132.56330527],\n",
       "       [223.31061462, 299.74341745, 377.19840239, ..., 155.25392581,\n",
       "        149.44730307, 138.70438437]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-cf31f336-a898-4c3c-89c3-99011620b4d4' class='xr-array-in' type='checkbox' checked><label for='section-cf31f336-a898-4c3c-89c3-99011620b4d4' 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>21.62 19.71 17.54 12.61 8.66 18.48 ... 208.8 170.7 155.3 149.4 138.7</span></div><div class='xr-array-data'><pre>array([[ 21.6248534 ,  19.71194218,  17.53571642, ..., -42.16175715,\n",
       "        -37.50237169, -24.52684146],\n",
       "       [ 30.35181519,  27.75576844,  22.57183054, ..., -30.17264831,\n",
       "        -40.27379802, -32.06853216],\n",
       "       [ 27.29926783,  20.05248091,  19.81538889, ..., -24.80658664,\n",
       "        -29.59649042, -28.71748248],\n",
       "       ...,\n",
       "       [191.00746949, 249.32946805, 280.01247598, ..., 147.66249291,\n",
       "        146.82479635,  96.16993161],\n",
       "       [187.79060756, 254.70306647, 302.70895537, ..., 165.41568998,\n",
       "        171.91405236, 132.56330527],\n",
       "       [223.31061462, 299.74341745, 377.19840239, ..., 155.25392581,\n",
       "        149.44730307, 138.70438437]])</pre></div></div></li><li class='xr-section-item'><input id='section-d4a3354d-115e-41b2-b3d5-56ff653c6884' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d4a3354d-115e-41b2-b3d5-56ff653c6884' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-8713041d-6a42-47c5-9542-e2b3ee8f0c2a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8713041d-6a42-47c5-9542-e2b3ee8f0c2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5665d6d7-69ec-432d-9cf0-b6f18868c22f' class='xr-var-data-in' type='checkbox'><label for='data-5665d6d7-69ec-432d-9cf0-b6f18868c22f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-0fefe098-cacc-4670-986e-c73f2f2489d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0fefe098-cacc-4670-986e-c73f2f2489d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdd75775-f629-43c3-9a13-c7e53956ae7e' class='xr-var-data-in' type='checkbox'><label for='data-cdd75775-f629-43c3-9a13-c7e53956ae7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d34bd72a-771e-4d15-921b-3ece50f99ec5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d34bd72a-771e-4d15-921b-3ece50f99ec5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (lat: 40, lon: 32)>\n",
       "array([[ 21.6248534 ,  19.71194218,  17.53571642, ..., -42.16175715,\n",
       "        -37.50237169, -24.52684146],\n",
       "       [ 30.35181519,  27.75576844,  22.57183054, ..., -30.17264831,\n",
       "        -40.27379802, -32.06853216],\n",
       "       [ 27.29926783,  20.05248091,  19.81538889, ..., -24.80658664,\n",
       "        -29.59649042, -28.71748248],\n",
       "       ...,\n",
       "       [191.00746949, 249.32946805, 280.01247598, ..., 147.66249291,\n",
       "        146.82479635,  96.16993161],\n",
       "       [187.79060756, 254.70306647, 302.70895537, ..., 165.41568998,\n",
       "        171.91405236, 132.56330527],\n",
       "       [223.31061462, 299.74341745, 377.19840239, ..., 155.25392581,\n",
       "        149.44730307, 138.70438437]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias_percentage = ((miroc - trmm)/trmm)*100\n",
    "bias_percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "08ba09cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting annual_pr_mean\n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "\n",
    "plt.rcParams['font.size'] = '16'\n",
    "\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias['lon'], bias['lat'],bias[:,:],\n",
    "                levels=np.arange(-15,15+3,3),  transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1, ticks=np.arange(-15,15+3,3),orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "\n",
    "\n",
    "plt.title('Seasonal Bias(GCM ensemble avg-TRMM)',fontsize=17)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias(gcm ensemble avg-trmm).png\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "9003db92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x972 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=(16,13.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias_percentage['lon'], bias_percentage['lat'],bias_percentage[:,:],\n",
    "                levels=np.arange(-150,150+25,25), transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1,ticks=np.arange(-150,150+25,25),orientation = 'horizontal',shrink=0.7, fraction = 0.04 , label = 'percentage')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "\n",
    "plt.title('Seasonal Bias-Percentage(GCM ensemble avg-TRMM)')\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias_percentage(gcm ensemble avg-trmm).png\")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "220503a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Colormap CET_D1A is not recognized. Possible values are: Accent, Accent_r, Blues, Blues_r, \\nBrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens,\\nGreens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, \\nPastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy,\\nRdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, \\nSpectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn,\\nautumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, \\ncopper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat,\\ngist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r,\\ngnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, inferno, inferno_r, jet, jet_r, magma,\\nmagma_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, \\nseismic, seismic_r, spring, spring_r, summer, summer_r, tab10, tab10_r, tab20, tab20_r, tab20b, tab20b_r, tab20c, tab20c_r, \\nter'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#cma colors\n",
    "'''Colormap CET_D1A is not recognized. Possible values are: Accent, Accent_r, Blues, Blues_r, \n",
    "BrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens,\n",
    "Greens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, \n",
    "Pastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy,\n",
    "RdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, \n",
    "Spectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn,\n",
    "autumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, \n",
    "copper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat,\n",
    "gist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r,\n",
    "gnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, inferno, inferno_r, jet, jet_r, magma,\n",
    "magma_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, \n",
    "seismic, seismic_r, spring, spring_r, summer, summer_r, tab10, tab10_r, tab20, tab20_r, tab20b, tab20b_r, tab20c, tab20c_r, \n",
    "ter'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "87f4ea28",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20e38f40",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "21be7cc5",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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