Seasonal Bias(Miroc5-trmm).ipynb

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    "#writing some conda package or module\n",
    "#!pip install netCDF4\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "from netCDF4 import Dataset\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "#!pip install cartopy\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.mpl.ticker as cticker\n",
    "from cartopy.util import add_cyclic_point"
   ]
  },
  {
   "cell_type": "code",
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       "Dimensions:  (time: 132, lat: 400, lon: 1440)\n",
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       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-fa6fb00c-becb-488d-9b9f-d356708e574c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fa6fb00c-becb-488d-9b9f-d356708e574c' 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-996d38e5-a3d4-4726-bf11-2e9582e20f7d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-996d38e5-a3d4-4726-bf11-2e9582e20f7d' 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-07f82dc0-5292-42aa-a5a5-15692fdd9e38' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-07f82dc0-5292-42aa-a5a5-15692fdd9e38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8859133-b1b8-4d38-afd1-29349eb6c372' class='xr-var-data-in' type='checkbox'><label for='data-b8859133-b1b8-4d38-afd1-29349eb6c372' title='Show/Hide data 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-c815587a-21e2-4e5e-8332-81274b6cd506' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c815587a-21e2-4e5e-8332-81274b6cd506' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bc64585-e6ac-44bf-a3ce-55ed1b4236cb' class='xr-var-data-in' type='checkbox'><label for='data-8bc64585-e6ac-44bf-a3ce-55ed1b4236cb' title='Show/Hide data 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-41bda906-4060-43e8-99c6-17a574ec225b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41bda906-4060-43e8-99c6-17a574ec225b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31773bf3-92bc-4983-95ba-c81b5c3f6433' class='xr-var-data-in' type='checkbox'><label for='data-31773bf3-92bc-4983-95ba-c81b5c3f6433' title='Show/Hide data 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-d7b86a43-727f-4539-87d5-1860fa15bc7d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d7b86a43-727f-4539-87d5-1860fa15bc7d' 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-7a721cb6-6b6c-448a-80e6-76e49276ccce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a721cb6-6b6c-448a-80e6-76e49276ccce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5274bb9-82b7-45c3-bd3c-c62e2d16dc84' class='xr-var-data-in' type='checkbox'><label for='data-a5274bb9-82b7-45c3-bd3c-c62e2d16dc84' title='Show/Hide data 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-2049ad63-3a37-403d-a522-a5835ba09cb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2049ad63-3a37-403d-a522-a5835ba09cb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-872bfd10-0b8d-474d-a159-3dfb8bff521d' class='xr-var-data-in' type='checkbox'><label for='data-872bfd10-0b8d-474d-a159-3dfb8bff521d' title='Show/Hide data 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-e2de6be6-c742-4469-8c38-98b2b80ebb23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2de6be6-c742-4469-8c38-98b2b80ebb23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c27052e-72cb-4204-a4ef-b6ccbe169f62' class='xr-var-data-in' type='checkbox'><label for='data-8c27052e-72cb-4204-a4ef-b6ccbe169f62' title='Show/Hide data 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-75eab52f-321e-4051-88c4-d507ffa252aa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-75eab52f-321e-4051-88c4-d507ffa252aa' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 132, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-01-01 1998-02-01 ... 2008-12-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 ...\n",
       "    datesec  (time) timedelta64[ns] ...\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/observation/trm/MonthlyTRMM_3B43/3B43.1998_2008.nc')\n",
    " \n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "800e4d90",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 131, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-02-01 1998-03-01 ... 2008-12-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980201 19980301 19980401 ... 20081101 20081201\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9ebec725-3d88-4c08-a693-89adbfe1bc04' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9ebec725-3d88-4c08-a693-89adbfe1bc04' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 131</li><li><span class='xr-has-index'>lat</span>: 400</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5d88fbd7-c8f1-489f-8893-117c5976d4ad' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5d88fbd7-c8f1-489f-8893-117c5976d4ad' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-02-01 ... 2008-12-01</div><input id='attrs-2f30c62e-c36c-4bc4-a898-1fdac20abce0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2f30c62e-c36c-4bc4-a898-1fdac20abce0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98fe1bc1-ec31-4396-b334-c59171cc3e11' class='xr-var-data-in' type='checkbox'><label for='data-98fe1bc1-ec31-4396-b334-c59171cc3e11' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-02-01T00:00:00.000000000&#x27;, &#x27;1998-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-04-01T00:00:00.000000000&#x27;, &#x27;1998-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-10-01T00:00:00.000000000&#x27;, &#x27;1998-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-12-01T00:00:00.000000000&#x27;, &#x27;1999-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-02-01T00:00:00.000000000&#x27;, &#x27;1999-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-04-01T00:00:00.000000000&#x27;, &#x27;1999-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-10-01T00:00:00.000000000&#x27;, &#x27;1999-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-12-01T00:00:00.000000000&#x27;, &#x27;2000-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-02-01T00:00:00.000000000&#x27;, &#x27;2000-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-04-01T00:00:00.000000000&#x27;, &#x27;2000-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-10-01T00:00:00.000000000&#x27;, &#x27;2000-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-01T00:00:00.000000000&#x27;, &#x27;2001-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-02-01T00:00:00.000000000&#x27;, &#x27;2001-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-04-01T00:00:00.000000000&#x27;, &#x27;2001-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-10-01T00:00:00.000000000&#x27;, &#x27;2001-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-12-01T00:00:00.000000000&#x27;, &#x27;2002-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-02-01T00:00:00.000000000&#x27;, &#x27;2002-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-04-01T00:00:00.000000000&#x27;, &#x27;2002-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-10-01T00:00:00.000000000&#x27;, &#x27;2002-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-12-01T00:00:00.000000000&#x27;, &#x27;2003-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-02-01T00:00:00.000000000&#x27;, &#x27;2003-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-04-01T00:00:00.000000000&#x27;, &#x27;2003-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-10-01T00:00:00.000000000&#x27;, &#x27;2003-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-12-01T00:00:00.000000000&#x27;, &#x27;2004-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-02-01T00:00:00.000000000&#x27;, &#x27;2004-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-04-01T00:00:00.000000000&#x27;, &#x27;2004-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-10-01T00:00:00.000000000&#x27;, &#x27;2004-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-12-01T00:00:00.000000000&#x27;, &#x27;2005-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-02-01T00:00:00.000000000&#x27;, &#x27;2005-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-04-01T00:00:00.000000000&#x27;, &#x27;2005-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-10-01T00:00:00.000000000&#x27;, &#x27;2005-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-12-01T00:00:00.000000000&#x27;, &#x27;2006-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-02-01T00:00:00.000000000&#x27;, &#x27;2006-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-04-01T00:00:00.000000000&#x27;, &#x27;2006-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-01T00:00:00.000000000&#x27;, &#x27;2006-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-01T00:00:00.000000000&#x27;, &#x27;2006-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-10-01T00:00:00.000000000&#x27;, &#x27;2006-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-12-01T00:00:00.000000000&#x27;, &#x27;2007-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-02-01T00:00:00.000000000&#x27;, &#x27;2007-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-04-01T00:00:00.000000000&#x27;, &#x27;2007-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-01T00:00:00.000000000&#x27;, &#x27;2007-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-01T00:00:00.000000000&#x27;, &#x27;2007-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-10-01T00:00:00.000000000&#x27;, &#x27;2007-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-12-01T00:00:00.000000000&#x27;, &#x27;2008-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-02-01T00:00:00.000000000&#x27;, &#x27;2008-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-04-01T00:00:00.000000000&#x27;, &#x27;2008-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-01T00:00:00.000000000&#x27;, &#x27;2008-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-01T00:00:00.000000000&#x27;, &#x27;2008-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-10-01T00:00:00.000000000&#x27;, &#x27;2008-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-12-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.88 -49.62 ... 49.62 49.88</div><input id='attrs-2aa90155-c22e-4044-bec6-eb9b8eb14a13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2aa90155-c22e-4044-bec6-eb9b8eb14a13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b386f627-268a-4069-b9b3-b13ea34b0387' class='xr-var-data-in' type='checkbox'><label for='data-b386f627-268a-4069-b9b3-b13ea34b0387' title='Show/Hide data 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-fc5df7eb-ed12-47f8-950b-8abd1fc5b83f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc5df7eb-ed12-47f8-950b-8abd1fc5b83f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ba632c2-e7a4-46b5-862e-654c334b9911' class='xr-var-data-in' type='checkbox'><label for='data-7ba632c2-e7a4-46b5-862e-654c334b9911' title='Show/Hide data 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-2dce04af-cc26-426f-9b2c-58848ad58075' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2dce04af-cc26-426f-9b2c-58848ad58075' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>19980201 19980301 ... 20081201</div><input id='attrs-000f2c3c-e50e-47f9-b063-bd49b5d21f07' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-000f2c3c-e50e-47f9-b063-bd49b5d21f07' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c7e0a98-d6fe-4b89-b8b6-17dec641ced0' class='xr-var-data-in' type='checkbox'><label for='data-0c7e0a98-d6fe-4b89-b8b6-17dec641ced0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980201, 19980301, 19980401, 19980501, 19980601, 19980701, 19980801,\n",
       "       19980901, 19981001, 19981101, 19981201, 19990101, 19990201, 19990301,\n",
       "       19990401, 19990501, 19990601, 19990701, 19990801, 19990901, 19991001,\n",
       "       19991101, 19991201, 20000101, 20000201, 20000301, 20000401, 20000501,\n",
       "       20000601, 20000701, 20000801, 20000901, 20001001, 20001101, 20001201,\n",
       "       20010101, 20010201, 20010301, 20010401, 20010501, 20010601, 20010701,\n",
       "       20010801, 20010901, 20011001, 20011101, 20011201, 20020101, 20020201,\n",
       "       20020301, 20020401, 20020501, 20020601, 20020701, 20020801, 20020901,\n",
       "       20021001, 20021101, 20021201, 20030101, 20030201, 20030301, 20030401,\n",
       "       20030501, 20030601, 20030701, 20030801, 20030901, 20031001, 20031101,\n",
       "       20031201, 20040101, 20040201, 20040301, 20040401, 20040501, 20040601,\n",
       "       20040701, 20040801, 20040901, 20041001, 20041101, 20041201, 20050101,\n",
       "       20050201, 20050301, 20050401, 20050501, 20050601, 20050701, 20050801,\n",
       "       20050901, 20051001, 20051101, 20051201, 20060101, 20060201, 20060301,\n",
       "       20060401, 20060501, 20060601, 20060701, 20060801, 20060901, 20061001,\n",
       "       20061101, 20061201, 20070101, 20070201, 20070301, 20070401, 20070501,\n",
       "       20070601, 20070701, 20070801, 20070901, 20071001, 20071101, 20071201,\n",
       "       20080101, 20080201, 20080301, 20080401, 20080501, 20080601, 20080701,\n",
       "       20080801, 20080901, 20081001, 20081101, 20081201], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 1 days ... 1 days 1 days</div><input id='attrs-0c6b80ee-42a8-4849-93cd-667325f7e256' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c6b80ee-42a8-4849-93cd-667325f7e256' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a1f015e-490d-42df-abaf-fdc50c9ebe37' class='xr-var-data-in' type='checkbox'><label for='data-9a1f015e-490d-42df-abaf-fdc50c9ebe37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-adae03b4-c2da-4297-95fd-e18ebc3fa6dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-adae03b4-c2da-4297-95fd-e18ebc3fa6dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44aa2715-5f80-4cb2-81db-0b56d0e60496' class='xr-var-data-in' type='checkbox'><label for='data-44aa2715-5f80-4cb2-81db-0b56d0e60496' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>[75456000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-96dae7dd-22fb-4268-8f6f-aba5c340b996' class='xr-section-summary-in' type='checkbox'  checked><label for='section-96dae7dd-22fb-4268-8f6f-aba5c340b996' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 131, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-02-01 1998-03-01 ... 2008-12-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980201 19980301 19980401 ... 20081101 20081201\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1998-01-16T12:00:00.000000000','2008-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "10070b93",
   "metadata": {},
   "outputs": [
    {
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       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 44, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2008-09-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20080801 20080901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c4ce65a8-6ea3-41c1-b5a8-927dea0fd006' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c4ce65a8-6ea3-41c1-b5a8-927dea0fd006' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 44</li><li><span class='xr-has-index'>lat</span>: 400</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d3fc1e8c-42bf-4ff7-a667-0708e2440d72' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d3fc1e8c-42bf-4ff7-a667-0708e2440d72' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-06-01 ... 2008-09-01</div><input id='attrs-d359cada-904d-46a6-8be1-e4e36de06e48' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d359cada-904d-46a6-8be1-e4e36de06e48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67f3a90e-2d9d-4bf4-b502-d201cdada43c' class='xr-var-data-in' type='checkbox'><label for='data-67f3a90e-2d9d-4bf4-b502-d201cdada43c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-01T00:00:00.000000000&#x27;, &#x27;2006-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-01T00:00:00.000000000&#x27;, &#x27;2006-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-01T00:00:00.000000000&#x27;, &#x27;2007-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-01T00:00:00.000000000&#x27;, &#x27;2007-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-01T00:00:00.000000000&#x27;, &#x27;2008-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-01T00:00:00.000000000&#x27;, &#x27;2008-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.88 -49.62 ... 49.62 49.88</div><input id='attrs-23dd7cd1-30a6-41db-8c76-3a2958b7553a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23dd7cd1-30a6-41db-8c76-3a2958b7553a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b66bf6f1-53f4-4569-aec2-d28f1f529f84' class='xr-var-data-in' type='checkbox'><label for='data-b66bf6f1-53f4-4569-aec2-d28f1f529f84' title='Show/Hide data 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-5de56f40-c59b-40dd-b529-1435868e643c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5de56f40-c59b-40dd-b529-1435868e643c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-431db2f0-8a1f-4e5b-84c6-8471d3eb8beb' class='xr-var-data-in' type='checkbox'><label for='data-431db2f0-8a1f-4e5b-84c6-8471d3eb8beb' title='Show/Hide data 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-8c4a1b7d-87d4-4b68-acc2-ec6afb7540eb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8c4a1b7d-87d4-4b68-acc2-ec6afb7540eb' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>19980601 19980701 ... 20080901</div><input id='attrs-543a6cab-4c93-4a85-9a05-5520b5499092' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-543a6cab-4c93-4a85-9a05-5520b5499092' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf5b8782-7cf1-4a98-a708-cbb6d20f991e' class='xr-var-data-in' type='checkbox'><label for='data-bf5b8782-7cf1-4a98-a708-cbb6d20f991e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980601, 19980701, 19980801, 19980901, 19990601, 19990701, 19990801,\n",
       "       19990901, 20000601, 20000701, 20000801, 20000901, 20010601, 20010701,\n",
       "       20010801, 20010901, 20020601, 20020701, 20020801, 20020901, 20030601,\n",
       "       20030701, 20030801, 20030901, 20040601, 20040701, 20040801, 20040901,\n",
       "       20050601, 20050701, 20050801, 20050901, 20060601, 20060701, 20060801,\n",
       "       20060901, 20070601, 20070701, 20070801, 20070901, 20080601, 20080701,\n",
       "       20080801, 20080901], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 1 days ... 1 days 1 days</div><input id='attrs-b6f6a6b8-4d29-4ed3-a984-468fb2384f90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6f6a6b8-4d29-4ed3-a984-468fb2384f90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4bed8b2d-4b08-4ae0-924a-e476637a5d7d' class='xr-var-data-in' type='checkbox'><label for='data-4bed8b2d-4b08-4ae0-924a-e476637a5d7d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000],\n",
       "      dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bffdc9f3-ed68-4210-a875-e8ae57cdf694' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bffdc9f3-ed68-4210-a875-e8ae57cdf694' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2aa72a5-d94d-4233-bcb9-bd134192075f' class='xr-var-data-in' type='checkbox'><label for='data-d2aa72a5-d94d-4233-bcb9-bd134192075f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>[25344000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0ad1071c-d6d2-4c19-afa2-176301000da8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0ad1071c-d6d2-4c19-afa2-176301000da8' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 44, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2008-09-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20080801 20080901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting only JJAS months\n",
    "\n",
    "def is_jjas(month):\n",
    "    return (month >= 6) & (month <= 9)\n",
    "\n",
    "jjas_data = data.sel(time=is_jjas(data['time.month']))\n",
    "\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "735515f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.latitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fd310367",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.longitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2a9644bb",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 44, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2008-09-01\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20080801 20080901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 0.4308 0.3221 0.2765 ... 0.1546 0.1725\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a1bffea0-1a35-4659-ae77-cb936cd7b90c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a1bffea0-1a35-4659-ae77-cb936cd7b90c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 44</li><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b7b7a7b9-18ab-49ed-8e59-edcba6d20554' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b7b7a7b9-18ab-49ed-8e59-edcba6d20554' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-06-01 ... 2008-09-01</div><input id='attrs-6929cd03-d777-4cd8-a58f-9118d3325fbb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6929cd03-d777-4cd8-a58f-9118d3325fbb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63900291-3c0b-4bb6-8a85-52162c10a105' class='xr-var-data-in' type='checkbox'><label for='data-63900291-3c0b-4bb6-8a85-52162c10a105' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-01T00:00:00.000000000&#x27;, &#x27;2006-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-01T00:00:00.000000000&#x27;, &#x27;2006-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-01T00:00:00.000000000&#x27;, &#x27;2007-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-01T00:00:00.000000000&#x27;, &#x27;2007-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-01T00:00:00.000000000&#x27;, &#x27;2008-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-01T00:00:00.000000000&#x27;, &#x27;2008-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-b5967e3e-7f52-4870-b124-19fdc9b3b1d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5967e3e-7f52-4870-b124-19fdc9b3b1d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48cd83f8-25fe-4fdb-8d35-2dda37e5bf51' class='xr-var-data-in' type='checkbox'><label for='data-48cd83f8-25fe-4fdb-8d35-2dda37e5bf51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([18.125, 18.375, 18.625, 18.875, 19.125, 19.375, 19.625, 19.875, 20.125,\n",
       "       20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125, 22.375,\n",
       "       22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375, 24.625,\n",
       "       24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625, 26.875,\n",
       "       27.125, 27.375, 27.625, 27.875], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-25b522f3-20d4-4539-8b4a-d737f891fb25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25b522f3-20d4-4539-8b4a-d737f891fb25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7cf8d82d-0357-4907-9fcc-6be92e4ffeaf' class='xr-var-data-in' type='checkbox'><label for='data-7cf8d82d-0357-4907-9fcc-6be92e4ffeaf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([86.125, 86.375, 86.625, 86.875, 87.125, 87.375, 87.625, 87.875, 88.125,\n",
       "       88.375, 88.625, 88.875, 89.125, 89.375, 89.625, 89.875, 90.125, 90.375,\n",
       "       90.625, 90.875, 91.125, 91.375, 91.625, 91.875, 92.125, 92.375, 92.625,\n",
       "       92.875, 93.125, 93.375, 93.625, 93.875], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c9764fe3-6c54-4422-8a6e-a4862f8a731f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c9764fe3-6c54-4422-8a6e-a4862f8a731f' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>19980601 19980701 ... 20080901</div><input id='attrs-942c321e-6fd9-4593-b988-fe836402ecf5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-942c321e-6fd9-4593-b988-fe836402ecf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8c92e39-d4eb-469a-aa9a-87bfd676f964' class='xr-var-data-in' type='checkbox'><label for='data-b8c92e39-d4eb-469a-aa9a-87bfd676f964' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980601, 19980701, 19980801, 19980901, 19990601, 19990701, 19990801,\n",
       "       19990901, 20000601, 20000701, 20000801, 20000901, 20010601, 20010701,\n",
       "       20010801, 20010901, 20020601, 20020701, 20020801, 20020901, 20030601,\n",
       "       20030701, 20030801, 20030901, 20040601, 20040701, 20040801, 20040901,\n",
       "       20050601, 20050701, 20050801, 20050901, 20060601, 20060701, 20060801,\n",
       "       20060901, 20070601, 20070701, 20070801, 20070901, 20080601, 20080701,\n",
       "       20080801, 20080901], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 1 days ... 1 days 1 days</div><input id='attrs-e8f13781-9848-4805-a90a-c19038e521b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8f13781-9848-4805-a90a-c19038e521b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4492c67a-95cd-4fcc-b44f-49d2ac6b83ea' class='xr-var-data-in' type='checkbox'><label for='data-4492c67a-95cd-4fcc-b44f-49d2ac6b83ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000],\n",
       "      dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ab6f05ee-4ff4-4f35-8b99-9f28055d16bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab6f05ee-4ff4-4f35-8b99-9f28055d16bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf487f70-c378-4386-b505-b2321a272a87' class='xr-var-data-in' type='checkbox'><label for='data-cf487f70-c378-4386-b505-b2321a272a87' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>array([[[0.430781, 0.322124, ..., 0.690971, 0.511044],\n",
       "        [0.346458, 0.285885, ..., 0.714057, 0.530204],\n",
       "        ...,\n",
       "        [0.210538, 0.242568, ..., 0.347411, 0.416681],\n",
       "        [0.231942, 0.248441, ..., 0.34638 , 0.382962]],\n",
       "\n",
       "       [[0.370449, 0.34102 , ..., 0.74982 , 1.003079],\n",
       "        [0.40649 , 0.328449, ..., 0.751424, 0.942093],\n",
       "        ...,\n",
       "        [0.206243, 0.196804, ..., 0.361962, 0.420819],\n",
       "        [0.202383, 0.187006, ..., 0.371911, 0.389453]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[0.669274, 0.585887, ..., 0.614507, 0.154847],\n",
       "        [0.662984, 0.594718, ..., 0.55713 , 0.18286 ],\n",
       "        ...,\n",
       "        [0.427335, 0.389131, ..., 0.39354 , 0.399715],\n",
       "        [0.399937, 0.253079, ..., 0.376333, 0.389909]],\n",
       "\n",
       "       [[0.522167, 0.476667, ..., 0.405844, 0.104389],\n",
       "        [0.62325 , 0.64275 , ..., 0.39959 , 0.097351],\n",
       "        ...,\n",
       "        [0.190438, 0.159591, ..., 0.16268 , 0.177877],\n",
       "        [0.246148, 0.161277, ..., 0.154624, 0.172511]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bd7b8a95-e430-46d0-80a2-33c852b1b6f5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bd7b8a95-e430-46d0-80a2-33c852b1b6f5' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 44, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2008-09-01\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20080801 20080901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the x and y coordinates\n",
    "jjas_data = jjas_data.sel(lon=slice(86,94),lat=slice(18,28))\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2c322ef0",
   "metadata": {},
   "outputs": [],
   "source": [
    "#interpolating to new lat and lon\n",
    "\n",
    "#new_lon = np.arange(86,94,0.2007)\n",
    "#new_lat = np.arange(18,28,0.034)\n",
    "#jjas_data = jjas_data.interp(lat=new_lat,lon=new_lon)\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "91600dec",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 44, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2008-09-01\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20080801 20080901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float64 0.4308 0.3221 0.2765 ... 0.1546 0.1725\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-db6ba53d-1e4f-4280-a8d5-b903b0bcc8b3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-db6ba53d-1e4f-4280-a8d5-b903b0bcc8b3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 44</li><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e60f07e2-28b8-4ae0-b416-eae755128260' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e60f07e2-28b8-4ae0-b416-eae755128260' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-06-01 ... 2008-09-01</div><input id='attrs-718b5723-942c-4d05-9f42-2f4950135415' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-718b5723-942c-4d05-9f42-2f4950135415' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ac8d9c4-b85c-4f02-a3fe-3378a81ed91a' class='xr-var-data-in' type='checkbox'><label for='data-8ac8d9c4-b85c-4f02-a3fe-3378a81ed91a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-01T00:00:00.000000000&#x27;, &#x27;2006-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-01T00:00:00.000000000&#x27;, &#x27;2006-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-01T00:00:00.000000000&#x27;, &#x27;2007-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-01T00:00:00.000000000&#x27;, &#x27;2007-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-01T00:00:00.000000000&#x27;, &#x27;2008-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-01T00:00:00.000000000&#x27;, &#x27;2008-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-c748c621-6be3-4b20-9846-2be32cb8fe33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c748c621-6be3-4b20-9846-2be32cb8fe33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4d8de6c-d1fc-47ce-900c-1c7fa6b231d9' class='xr-var-data-in' type='checkbox'><label for='data-c4d8de6c-d1fc-47ce-900c-1c7fa6b231d9' title='Show/Hide data 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-8be1f994-3db0-49e3-82a8-e9649a348d30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8be1f994-3db0-49e3-82a8-e9649a348d30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a0416a7-6695-4685-9899-a9a6dc139e90' class='xr-var-data-in' type='checkbox'><label for='data-7a0416a7-6695-4685-9899-a9a6dc139e90' title='Show/Hide data 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-6a28ef3e-a09f-49b2-8edc-72729571f153' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a28ef3e-a09f-49b2-8edc-72729571f153' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>19980601 19980701 ... 20080901</div><input id='attrs-9843d60d-32c9-477c-a76a-4dee75a8bc36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9843d60d-32c9-477c-a76a-4dee75a8bc36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f4d0f7d-88fe-4ff6-9549-55f31e2dcd6b' class='xr-var-data-in' type='checkbox'><label for='data-7f4d0f7d-88fe-4ff6-9549-55f31e2dcd6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980601, 19980701, 19980801, 19980901, 19990601, 19990701, 19990801,\n",
       "       19990901, 20000601, 20000701, 20000801, 20000901, 20010601, 20010701,\n",
       "       20010801, 20010901, 20020601, 20020701, 20020801, 20020901, 20030601,\n",
       "       20030701, 20030801, 20030901, 20040601, 20040701, 20040801, 20040901,\n",
       "       20050601, 20050701, 20050801, 20050901, 20060601, 20060701, 20060801,\n",
       "       20060901, 20070601, 20070701, 20070801, 20070901, 20080601, 20080701,\n",
       "       20080801, 20080901], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 1 days ... 1 days 1 days</div><input id='attrs-749345f3-a46d-4234-83fe-a7c74138f7eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-749345f3-a46d-4234-83fe-a7c74138f7eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-549bbe4f-ac02-4d14-b6e6-bfb505ddfb31' class='xr-var-data-in' type='checkbox'><label for='data-549bbe4f-ac02-4d14-b6e6-bfb505ddfb31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000],\n",
       "      dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4308 0.3221 ... 0.1546 0.1725</div><input id='attrs-3b829bd7-ad9a-49f8-9a3d-cf88b46a77c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b829bd7-ad9a-49f8-9a3d-cf88b46a77c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d2b4849-13d4-4d6a-bf2c-e58c2e8935a0' class='xr-var-data-in' type='checkbox'><label for='data-0d2b4849-13d4-4d6a-bf2c-e58c2e8935a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>array([[[0.43078125, 0.32212433, 0.27652851, ..., 0.71414649,\n",
       "         0.69097066, 0.51104361],\n",
       "        [0.34645832, 0.28588545, 0.27891186, ..., 0.67252439,\n",
       "         0.71405703, 0.53020412],\n",
       "        [0.30466321, 0.28692707, 0.34890625, ..., 0.52755976,\n",
       "         0.44530717, 0.50524467],\n",
       "        ...,\n",
       "        [0.25164425, 0.22906637, 0.22276108, ..., 0.33158243,\n",
       "         0.39273235, 0.46620294],\n",
       "        [0.21053816, 0.24256794, 0.22192635, ..., 0.33510813,\n",
       "         0.34741056, 0.41668078],\n",
       "        [0.23194218, 0.24844146, 0.20519544, ..., 0.33965585,\n",
       "         0.34638026, 0.3829622 ]],\n",
       "\n",
       "       [[0.37044898, 0.34102049, 0.26514283, ..., 0.80254507,\n",
       "         0.74981993, 1.0030787 ],\n",
       "        [0.40648982, 0.32844895, 0.33179593, ..., 0.71308237,\n",
       "         0.75142395, 0.94209349],\n",
       "        [0.37599996, 0.33314285, 0.31755105, ..., 0.62495816,\n",
       "         0.7886126 , 0.82755727],\n",
       "...\n",
       "        [0.3215358 , 0.29425463, 0.30826288, ..., 0.42182425,\n",
       "         0.42999765, 0.49165663],\n",
       "        [0.42733508, 0.38913107, 0.27142769, ..., 0.37139747,\n",
       "         0.39354011, 0.39971459],\n",
       "        [0.3999373 , 0.25307888, 0.18362334, ..., 0.37438467,\n",
       "         0.37633306, 0.38990939]],\n",
       "\n",
       "       [[0.52216661, 0.47666663, 0.47158337, ..., 0.37171856,\n",
       "         0.40584445, 0.10438898],\n",
       "        [0.62325001, 0.64275002, 0.5449999 , ..., 0.36562327,\n",
       "         0.39959037, 0.09735143],\n",
       "        [0.41658324, 0.53420824, 0.67958325, ..., 0.37486681,\n",
       "         0.09073243, 0.08465517],\n",
       "        ...,\n",
       "        [0.23062222, 0.19550574, 0.15468805, ..., 0.16365661,\n",
       "         0.17726745, 0.20500195],\n",
       "        [0.19043835, 0.15959059, 0.14844435, ..., 0.16518691,\n",
       "         0.16267985, 0.17787705],\n",
       "        [0.24614835, 0.16127686, 0.11297111, ..., 0.14429274,\n",
       "         0.15462402, 0.17251129]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-131ff14e-90c0-4548-afc3-71e1aa9005f1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-131ff14e-90c0-4548-afc3-71e1aa9005f1' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 44, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2008-09-01\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20080801 20080901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float64 0.4308 0.3221 0.2765 ... 0.1546 0.1725\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#interpolating to low resolution \n",
    "new_lon=np.arange(86.125,94,0.25)\n",
    "new_lat=np.arange(18.125,28,.25)\n",
    "jjas_data = jjas_data.interp(lon=new_lon,lat=new_lat)\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "82d6b5d0",
   "metadata": {},
   "outputs": [
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       "\n",
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       ".xr-icon-database,\n",
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       "  fill: currentColor;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[0.41169896, 0.4162719 , 0.42498837, ..., 0.90354562, 0.86019864,\n",
       "        0.62904522],\n",
       "       [0.40099814, 0.41317001, 0.42096477, ..., 0.81703515, 0.8430232 ,\n",
       "        0.66129965],\n",
       "       [0.40974662, 0.42470233, 0.43301917, ..., 0.74895285, 0.61735615,\n",
       "        0.6201029 ],\n",
       "       ...,\n",
       "       [0.30530888, 0.2881662 , 0.27591417, ..., 0.31848547, 0.33443026,\n",
       "        0.38756255],\n",
       "       [0.31809422, 0.28972163, 0.25372516, ..., 0.299688  , 0.30656547,\n",
       "        0.32876451],\n",
       "       [0.28422865, 0.24842506, 0.2023861 , ..., 0.30493225, 0.32380772,\n",
       "        0.31599506]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'precip'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dd2a639c-6dc1-4dcc-b0cd-1665594dd31f' class='xr-array-in' type='checkbox' checked><label for='section-dd2a639c-6dc1-4dcc-b0cd-1665594dd31f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.4117 0.4163 0.425 0.4361 0.4474 ... 0.2448 0.282 0.3049 0.3238 0.316</span></div><div class='xr-array-data'><pre>array([[0.41169896, 0.4162719 , 0.42498837, ..., 0.90354562, 0.86019864,\n",
       "        0.62904522],\n",
       "       [0.40099814, 0.41317001, 0.42096477, ..., 0.81703515, 0.8430232 ,\n",
       "        0.66129965],\n",
       "       [0.40974662, 0.42470233, 0.43301917, ..., 0.74895285, 0.61735615,\n",
       "        0.6201029 ],\n",
       "       ...,\n",
       "       [0.30530888, 0.2881662 , 0.27591417, ..., 0.31848547, 0.33443026,\n",
       "        0.38756255],\n",
       "       [0.31809422, 0.28972163, 0.25372516, ..., 0.299688  , 0.30656547,\n",
       "        0.32876451],\n",
       "       [0.28422865, 0.24842506, 0.2023861 , ..., 0.30493225, 0.32380772,\n",
       "        0.31599506]])</pre></div></div></li><li class='xr-section-item'><input id='section-dbfcdaff-8093-4362-a580-6c8ea83d7160' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dbfcdaff-8093-4362-a580-6c8ea83d7160' 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-b40e4ae9-b541-4019-b2a5-25e7651c8b42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b40e4ae9-b541-4019-b2a5-25e7651c8b42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-432fb715-e272-4db2-b23a-8657ce62112b' class='xr-var-data-in' type='checkbox'><label for='data-432fb715-e272-4db2-b23a-8657ce62112b' title='Show/Hide data 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-6a7d1f45-7f7d-4a35-b48c-6663c2483c22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a7d1f45-7f7d-4a35-b48c-6663c2483c22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fbd7020-b5e6-4444-aaa2-f0b9cb39aed2' class='xr-var-data-in' type='checkbox'><label for='data-0fbd7020-b5e6-4444-aaa2-f0b9cb39aed2' title='Show/Hide data 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-78232fd7-0aa9-4357-a5b6-2a3e0a20a516' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-78232fd7-0aa9-4357-a5b6-2a3e0a20a516' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'precip' (lat: 40, lon: 32)>\n",
       "array([[0.41169896, 0.4162719 , 0.42498837, ..., 0.90354562, 0.86019864,\n",
       "        0.62904522],\n",
       "       [0.40099814, 0.41317001, 0.42096477, ..., 0.81703515, 0.8430232 ,\n",
       "        0.66129965],\n",
       "       [0.40974662, 0.42470233, 0.43301917, ..., 0.74895285, 0.61735615,\n",
       "        0.6201029 ],\n",
       "       ...,\n",
       "       [0.30530888, 0.2881662 , 0.27591417, ..., 0.31848547, 0.33443026,\n",
       "        0.38756255],\n",
       "       [0.31809422, 0.28972163, 0.25372516, ..., 0.299688  , 0.30656547,\n",
       "        0.32876451],\n",
       "       [0.28422865, 0.24842506, 0.2023861 , ..., 0.30493225, 0.32380772,\n",
       "        0.31599506]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 10,
     "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": 11,
   "id": "6d00cba7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#changing unit from mm/month to mm/day\n",
    "pr_mm = jjas_mean*24\n",
    "pr_mm\n",
    "\n",
    "\n",
    "trmm = pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b6d9b2b3",
   "metadata": {},
   "outputs": [
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       "\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: 432, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) object 1970-01-16 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 1970-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:39:57 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-06591ea2-c716-4b13-b667-dc886fc075d0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-06591ea2-c716-4b13-b667-dc886fc075d0' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 432</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c43aa457-2193-4078-9889-ca3d7a86cbec' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c43aa457-2193-4078-9889-ca3d7a86cbec' 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'>1970-01-16 12:00:00 ... 2005-12-...</div><input id='attrs-bcb1cbc0-b515-4281-ab7b-f8b2fbee34eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bcb1cbc0-b515-4281-ab7b-f8b2fbee34eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8fc27d7-477c-49d1-8cca-5bd282490e59' class='xr-var-data-in' type='checkbox'><label for='data-a8fc27d7-477c-49d1-8cca-5bd282490e59' title='Show/Hide data 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(1970, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1970, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1970, 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-e0c60ac9-2144-40df-a962-c99201cc6564' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0c60ac9-2144-40df-a962-c99201cc6564' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71ce37d5-d8e6-4125-9618-847acc6ac815' class='xr-var-data-in' type='checkbox'><label for='data-71ce37d5-d8e6-4125-9618-847acc6ac815' title='Show/Hide data 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-0f90e0c6-a9c9-496a-b709-eed59f6bbb19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f90e0c6-a9c9-496a-b709-eed59f6bbb19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c80f793f-0a92-4d63-bafe-fdd8794c8dfd' class='xr-var-data-in' type='checkbox'><label for='data-c80f793f-0a92-4d63-bafe-fdd8794c8dfd' title='Show/Hide data 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-1462dbfc-151e-4bba-88a4-58cc7aea92f9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1462dbfc-151e-4bba-88a4-58cc7aea92f9' 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-ed1a1422-021a-4502-8e73-ce27bb97cea4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ed1a1422-021a-4502-8e73-ce27bb97cea4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dead7d68-86ad-479f-b96c-10dfa767345f' class='xr-var-data-in' type='checkbox'><label for='data-dead7d68-86ad-479f-b96c-10dfa767345f' title='Show/Hide data 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(1970, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1970, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1970, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 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-ae21e191-9e3e-421c-9e1e-a0b7694d1844' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae21e191-9e3e-421c-9e1e-a0b7694d1844' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2685a48-3b1e-4ac5-b9b8-b62c67cc0219' class='xr-var-data-in' type='checkbox'><label for='data-c2685a48-3b1e-4ac5-b9b8-b62c67cc0219' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[552960 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-78ad8643-6cf2-48e4-9b48-015595c47636' class='xr-section-summary-in' type='checkbox'  ><label for='section-78ad8643-6cf2-48e4-9b48-015595c47636' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Thu Jul 07 17:39:57 2022: cdo remapnn,grid.des miroc5_pr_197001-200512.nc miroc_remap.nc\n",
       "Mon Jun 27 15:34:28 2022: cdo mergetime pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc miroc5_pr_197001-200512.nc\n",
       "2018-05-11 16:23:33 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-12T16:23:22Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>635194b8-8309-11e9-827b-f04da273f023</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>MI_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MI_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 1975-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param 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:</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation 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      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 432, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) object 1970-01-16 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 ...\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:39:57 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#opening miroc5 data\n",
    "\n",
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/regcm driven by gcm/MIROC5/miroc_remap.nc')\n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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_27747/1463838701.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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    },
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       "  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: 432, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1970-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1970-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:39:57 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-161cc1cd-53de-4830-8228-d5428144367d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-161cc1cd-53de-4830-8228-d5428144367d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 432</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lon</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c109e145-8971-43f4-a7c8-d00964af8916' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c109e145-8971-43f4-a7c8-d00964af8916' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-8b7b6e2e-3bcb-4f54-b557-2c076f58d68e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8b7b6e2e-3bcb-4f54-b557-2c076f58d68e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81daad31-38f9-4c4c-a92d-03570fd22d31' class='xr-var-data-in' type='checkbox'><label for='data-81daad31-38f9-4c4c-a92d-03570fd22d31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-16T12:00:00.000000000&#x27;, &#x27;1970-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1970-03-16T12:00:00.000000000&#x27;, ..., &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-16T00:00:00.000000000&#x27;, &#x27;2005-12-16T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-70334c8c-ef25-4e52-a4b4-7a2373766095' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70334c8c-ef25-4e52-a4b4-7a2373766095' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6eb1ce8a-dacb-414d-98d0-80d1ea151aef' class='xr-var-data-in' type='checkbox'><label for='data-6eb1ce8a-dacb-414d-98d0-80d1ea151aef' title='Show/Hide data 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-5462b841-d90d-4f83-91e3-1e08f608ca4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5462b841-d90d-4f83-91e3-1e08f608ca4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57ab14f7-a433-4080-b034-1e78429891f5' class='xr-var-data-in' type='checkbox'><label for='data-57ab14f7-a433-4080-b034-1e78429891f5' title='Show/Hide data 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-3838ddeb-0956-4d5c-8dda-cf222e020ea2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3838ddeb-0956-4d5c-8dda-cf222e020ea2' 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'>1970-01-01 00:00:00 ... 2006-01-...</div><input id='attrs-88957070-a05b-44ae-86e1-a380796705c1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-88957070-a05b-44ae-86e1-a380796705c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-492e2d94-ce3c-4e68-83b6-5f90face4bd8' class='xr-var-data-in' type='checkbox'><label for='data-492e2d94-ce3c-4e68-83b6-5f90face4bd8' title='Show/Hide data 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(1970, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1970, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1970, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1970, 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-c55b060d-49c5-4ee7-97cd-da5c1cca0e99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c55b060d-49c5-4ee7-97cd-da5c1cca0e99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f56c8f05-07bc-4608-be44-dadf77c670b5' class='xr-var-data-in' type='checkbox'><label for='data-f56c8f05-07bc-4608-be44-dadf77c670b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[552960 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ef3a951c-09ad-4749-b542-cf46f15e849b' class='xr-section-summary-in' type='checkbox'  ><label for='section-ef3a951c-09ad-4749-b542-cf46f15e849b' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Thu Jul 07 17:39:57 2022: cdo remapnn,grid.des miroc5_pr_197001-200512.nc miroc_remap.nc\n",
       "Mon Jun 27 15:34:28 2022: cdo mergetime pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc miroc5_pr_197001-200512.nc\n",
       "2018-05-11 16:23:33 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-12T16:23:22Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>635194b8-8309-11e9-827b-f04da273f023</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>MI_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MI_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 1975-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment :</span></dt><dd>MIROC-MIROC5, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MIROC-MIROC5</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 432, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1970-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "  * lon        (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat        (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1970-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:39:57 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#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": 14,
   "id": "cafd5692",
   "metadata": {},
   "outputs": [
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       "  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: 300, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 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 1981-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:39:57 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a5355d4c-ae02-4637-bdf0-5d3f97ab83da' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a5355d4c-ae02-4637-bdf0-5d3f97ab83da' 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>: 300</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-1e0d6e58-8b66-4564-bb8d-6965db549589' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1e0d6e58-8b66-4564-bb8d-6965db549589' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-f8310a83-1828-4cb2-9401-b15fa416808f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f8310a83-1828-4cb2-9401-b15fa416808f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8623b1c1-41e4-4f2b-a2d9-65521d4ed030' class='xr-var-data-in' type='checkbox'><label for='data-8623b1c1-41e4-4f2b-a2d9-65521d4ed030' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-16T12:00:00.000000000&#x27;, &#x27;1981-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-03-16T12:00:00.000000000&#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-84a0c17c-3df3-4689-896a-3d5f890e008f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84a0c17c-3df3-4689-896a-3d5f890e008f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5b4ee73-2aff-42a5-b9d8-38d666881b1f' class='xr-var-data-in' type='checkbox'><label for='data-f5b4ee73-2aff-42a5-b9d8-38d666881b1f' title='Show/Hide data 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-44990d4e-a1a8-4e02-b793-2115c4f48810' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44990d4e-a1a8-4e02-b793-2115c4f48810' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed8fa490-0775-4ac9-a3df-c1d667f38ff2' class='xr-var-data-in' type='checkbox'><label for='data-ed8fa490-0775-4ac9-a3df-c1d667f38ff2' title='Show/Hide data 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-95151f59-4c15-49ca-9d19-43f77c9a11b5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-95151f59-4c15-49ca-9d19-43f77c9a11b5' 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'>1981-01-01 00:00:00 ... 2006-01-...</div><input id='attrs-b093357d-0276-42f6-be98-0628a2626eb0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b093357d-0276-42f6-be98-0628a2626eb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61c8e1c3-355a-48a7-90b6-ba624a9c843a' class='xr-var-data-in' type='checkbox'><label for='data-61c8e1c3-355a-48a7-90b6-ba624a9c843a' title='Show/Hide data 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(1981, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 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-0c264e31-4240-4272-80fa-127a3d17ab24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c264e31-4240-4272-80fa-127a3d17ab24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe4283d5-095f-4dde-827f-f943ba7b4036' class='xr-var-data-in' type='checkbox'><label for='data-fe4283d5-095f-4dde-827f-f943ba7b4036' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[384000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-07b00769-d41f-4368-9291-aeffc9c444e1' class='xr-section-summary-in' type='checkbox'  ><label for='section-07b00769-d41f-4368-9291-aeffc9c444e1' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Thu Jul 07 17:39:57 2022: cdo remapnn,grid.des miroc5_pr_197001-200512.nc miroc_remap.nc\n",
       "Mon Jun 27 15:34:28 2022: cdo mergetime pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc miroc5_pr_197001-200512.nc\n",
       "2018-05-11 16:23:33 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-12T16:23:22Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>635194b8-8309-11e9-827b-f04da273f023</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>MI_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MI_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 1975-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment :</span></dt><dd>MIROC-MIROC5, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MIROC-MIROC5</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 300, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 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 1981-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:39:57 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1981-01-16T12:00:00.000000000','2015-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c811b0f2",
   "metadata": {},
   "outputs": [
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       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 100, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 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 1981-06-01 00:00:00 ... 2005-10-01 00:00:00\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:39:57 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2b0e3eb9-7de1-46ab-8601-23bd64f8ef1a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2b0e3eb9-7de1-46ab-8601-23bd64f8ef1a' 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>: 100</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-ee2b68ac-7b27-453f-b67c-4b56850f5d9e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ee2b68ac-7b27-453f-b67c-4b56850f5d9e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-16 ... 2005-09-16</div><input id='attrs-a9286921-c34b-4558-991c-12a7becd071e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a9286921-c34b-4558-991c-12a7becd071e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0dd2574c-b17d-4699-8f90-fe2342b8907b' class='xr-var-data-in' type='checkbox'><label for='data-0dd2574c-b17d-4699-8f90-fe2342b8907b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-16T00:00:00.000000000&#x27;, &#x27;1981-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-16T12:00:00.000000000&#x27;, &#x27;1981-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-16T00:00:00.000000000&#x27;, &#x27;1982-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-16T12:00:00.000000000&#x27;, &#x27;1982-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-16T00:00:00.000000000&#x27;, &#x27;1983-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-16T12:00:00.000000000&#x27;, &#x27;1983-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-16T00:00:00.000000000&#x27;, &#x27;1984-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-16T12:00:00.000000000&#x27;, &#x27;1984-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-16T00:00:00.000000000&#x27;, &#x27;1985-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-16T12:00:00.000000000&#x27;, &#x27;1985-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-16T00:00:00.000000000&#x27;, &#x27;1986-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-16T12:00:00.000000000&#x27;, &#x27;1986-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-16T00:00:00.000000000&#x27;, &#x27;1987-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-16T12:00:00.000000000&#x27;, &#x27;1987-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-16T00:00:00.000000000&#x27;, &#x27;1988-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-16T12:00:00.000000000&#x27;, &#x27;1988-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-16T00:00:00.000000000&#x27;, &#x27;1989-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-16T12:00:00.000000000&#x27;, &#x27;1989-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-16T00:00:00.000000000&#x27;, &#x27;1990-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-16T12:00:00.000000000&#x27;, &#x27;1990-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-16T00:00:00.000000000&#x27;, &#x27;1991-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-16T12:00:00.000000000&#x27;, &#x27;1991-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-16T00:00:00.000000000&#x27;, &#x27;1992-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-16T12:00:00.000000000&#x27;, &#x27;1992-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-16T00:00:00.000000000&#x27;, &#x27;1993-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-16T12:00:00.000000000&#x27;, &#x27;1993-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-16T00:00:00.000000000&#x27;, &#x27;1994-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-16T12:00:00.000000000&#x27;, &#x27;1994-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-16T00:00:00.000000000&#x27;, &#x27;1995-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-16T12:00:00.000000000&#x27;, &#x27;1995-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-16T00:00:00.000000000&#x27;, &#x27;1996-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-16T12:00:00.000000000&#x27;, &#x27;1996-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-16T00:00:00.000000000&#x27;, &#x27;1997-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-16T12:00:00.000000000&#x27;, &#x27;1997-09-16T00:00:00.000000000&#x27;,\n",
       "       &#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-bc952196-b7ad-474a-887c-8c506546d745' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc952196-b7ad-474a-887c-8c506546d745' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0db287b-4a32-405e-a796-718ef4b398d6' class='xr-var-data-in' type='checkbox'><label for='data-d0db287b-4a32-405e-a796-718ef4b398d6' title='Show/Hide data 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-636192c6-5ee6-407f-ac49-b625f9fcdb40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-636192c6-5ee6-407f-ac49-b625f9fcdb40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba570f3d-f0e5-45e7-a115-800c73705f92' class='xr-var-data-in' type='checkbox'><label for='data-ba570f3d-f0e5-45e7-a115-800c73705f92' title='Show/Hide data 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-a1736350-51cc-460c-a429-36bf138c16de' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a1736350-51cc-460c-a429-36bf138c16de' 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'>1981-06-01 00:00:00 ... 2005-10-...</div><input id='attrs-ad574379-559e-4278-9f43-f0662fed55e4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ad574379-559e-4278-9f43-f0662fed55e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-722218f0-62fc-475a-a4e8-761e79e653f7' class='xr-var-data-in' type='checkbox'><label for='data-722218f0-62fc-475a-a4e8-761e79e653f7' title='Show/Hide data 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(1981, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1982, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1982, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1982, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1982, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1982, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1982, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1982, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1982, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1983, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1983, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1983, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1983, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1983, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1983, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1983, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1983, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1984, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1984, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1984, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1984, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1984, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1984, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1984, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1984, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1985, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1985, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1985, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1985, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1985, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1985, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1985, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1985, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1986, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1986, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1986, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1986, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1986, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1986, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1986, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1986, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1987, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1987, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1987, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1987, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1987, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1987, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1987, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1987, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1988, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1988, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1988, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1988, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1988, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1988, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1988, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1988, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1989, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1989, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1989, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1989, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1989, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1989, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1989, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1989, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1990, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1990, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1990, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1990, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1990, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1990, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1990, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1990, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1991, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1991, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1991, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1991, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1991, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1991, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1991, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1991, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1992, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1992, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1992, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1992, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1992, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1992, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1992, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1992, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1993, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1993, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1993, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1993, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1993, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1993, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1993, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1993, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1994, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1994, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1994, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1994, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1994, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1994, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1994, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1994, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1995, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1995, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1995, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1995, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1995, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1995, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1995, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1995, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1996, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1996, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1996, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1996, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1996, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1996, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1996, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1996, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1997, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1997, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1997, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1997, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1997, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1997, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1997, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1997, 10, 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(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-1898da44-0da9-443f-96d5-c919e84f2e70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1898da44-0da9-443f-96d5-c919e84f2e70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-596d9312-b636-4c0e-87b5-d092d795f610' class='xr-var-data-in' type='checkbox'><label for='data-596d9312-b636-4c0e-87b5-d092d795f610' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[128000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-68a16549-4818-421b-a358-72290ccb93e3' class='xr-section-summary-in' type='checkbox'  ><label for='section-68a16549-4818-421b-a358-72290ccb93e3' class='xr-section-summary' >Attributes: <span>(165)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.9rc1 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>history :</span></dt><dd>Thu Jul 07 17:39:57 2022: cdo remapnn,grid.des miroc5_pr_197001-200512.nc miroc_remap.nc\n",
       "Mon Jun 27 15:34:28 2022: cdo mergetime pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_197001-198012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_198101-199012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_199101-200012.nc pr_WAS-22_MIROC-MIROC5_historical_r1i1p1_ICTP-RegCM4-7_v0_mon_200101-200512.nc miroc5_pr_197001-200512.nc\n",
       "2018-05-11 16:23:33 : Created by RegCM RegCM Model program</dd><dt><span>source :</span></dt><dd>RegCM Model output file</dd><dt><span>institution :</span></dt><dd>Oak Ridge National Laboratory</dd><dt><span>project_id :</span></dt><dd>CORDEX</dd><dt><span>ipcc_scenario_code :</span></dt><dd>HISTORICAL</dd><dt><span>institute_id :</span></dt><dd>ORNL</dd><dt><span>note :</span></dt><dd>The domain is larger than WAS-22</dd><dt><span>comment :</span></dt><dd>RegCM CORDEX SAsia25 run</dd><dt><span>experiment :</span></dt><dd>WAS-22</dd><dt><span>driving_model_ensemble_member :</span></dt><dd>r1i1p1</dd><dt><span>creation_date :</span></dt><dd>2019-09-12T16:23:22Z</dd><dt><span>CORDEX_domain :</span></dt><dd>WAS-22</dd><dt><span>rcm_version_id :</span></dt><dd>v0</dd><dt><span>ICTP_version_note :</span></dt><dd>Model run at ORNL on Titan</dd><dt><span>contact :</span></dt><dd>mashfaq@ornl.gov</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>tracking_id :</span></dt><dd>635194b8-8309-11e9-827b-f04da273f023</dd><dt><span>title :</span></dt><dd>ICTP Regional Climatic model V4</dd><dt><span>references :</span></dt><dd>http://gforge.ictp.it/gf/project/regcm</dd><dt><span>model_revision :</span></dt><dd>tag-4.7.0</dd><dt><span>projection :</span></dt><dd>ROTMER</dd><dt><span>grid_size_in_meters :</span></dt><dd>25000.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>13.0</dd><dt><span>longitude_of_projection_origin :</span></dt><dd>70.0</dd><dt><span>grid_north_pole_latitude :</span></dt><dd>13.0</dd><dt><span>grid_north_pole_longitude :</span></dt><dd>70.0</dd><dt><span>grid_factor :</span></dt><dd>0.0</dd><dt><span>landsurface_model :</span></dt><dd>clm4.5</dd><dt><span>model_icbc_data_source :</span></dt><dd>MI_85</dd><dt><span>model_sst_data_source :</span></dt><dd>MI_85</dd><dt><span>boundary_nspgx :</span></dt><dd>30</dd><dt><span>boundary_nspgd :</span></dt><dd>30</dd><dt><span>boundary_high_nudge :</span></dt><dd>8.0</dd><dt><span>boundary_medium_nudge :</span></dt><dd>6.0</dd><dt><span>boundary_low_nudge :</span></dt><dd>4.0</dd><dt><span>boundary_nm :</span></dt><dd>-1.0</dd><dt><span>boundary_dm :</span></dt><dd>-1.0</dd><dt><span>model_is_restarted :</span></dt><dd>No</dd><dt><span>model_simulation_initial_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_start :</span></dt><dd> 1970-01-01 00:00:00 UTC</dd><dt><span>model_simulation_end :</span></dt><dd> 1975-01-01 00:00:00 UTC</dd><dt><span>atmosphere_time_step_in_seconds :</span></dt><dd>40.0</dd><dt><span>surface_interaction_time_step_in_seconds :</span></dt><dd>480.0</dd><dt><span>convection_time_step_in_seconds :</span></dt><dd>240.0</dd><dt><span>radiation_scheme_time_step_in_seconds :</span></dt><dd>1800.0</dd><dt><span>absorption_emission_time_step_in_seconds :</span></dt><dd>64800.0</dd><dt><span>dynamical_core :</span></dt><dd>1</dd><dt><span>asselin_filter_nu_1 :</span></dt><dd>0.0625</dd><dt><span>asselin_filter_nu_2 :</span></dt><dd>0.0625</dd><dt><span>diffusion_hgt_factor :</span></dt><dd>1</dd><dt><span>upstream_mode :</span></dt><dd>Yes</dd><dt><span>off_centering_max :</span></dt><dd>0.25</dd><dt><span>stability_enhance :</span></dt><dd>Yes</dd><dt><span>temperature_extreme_gradient :</span></dt><dd>5.0</dd><dt><span>cloud_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>vapor_extreme_gradient_fraction :</span></dt><dd>0.2</dd><dt><span>tracer_extreme_gradient_fraction :</span></dt><dd>0.5</dd><dt><span>lateral_boundary_condition_scheme :</span></dt><dd>5</dd><dt><span>semi_lagrangian_advection_scheme :</span></dt><dd>0</dd><dt><span>boundary_layer_scheme :</span></dt><dd>2</dd><dt><span>cumulus_convection_scheme_lnd :</span></dt><dd>4</dd><dt><span>cumulus_convection_scheme_ocn :</span></dt><dd>5</dd><dt><span>moisture_scheme :</span></dt><dd>1</dd><dt><span>ocean_flux_scheme :</span></dt><dd>2</dd><dt><span>zeng_ocean_roughness_formula :</span></dt><dd>1</dd><dt><span>zeng_ocean_roughness_method :</span></dt><dd>1</dd><dt><span>pressure_gradient_scheme :</span></dt><dd>0</dd><dt><span>surface_emissivity_factor_computed :</span></dt><dd>0</dd><dt><span>lake_model_activated :</span></dt><dd>0</dd><dt><span>chemical_aerosol_scheme_activated :</span></dt><dd>0</dd><dt><span>diurnal_cycle_sst_scheme :</span></dt><dd>0</dd><dt><span>ocean_precipitaion_cooling_effect :</span></dt><dd>0</dd><dt><span>ocean_albedo_from_whitecapping :</span></dt><dd>0</dd><dt><span>simple_sea_ice_scheme :</span></dt><dd>0</dd><dt><span>seasonal_desert_albedo :</span></dt><dd>0</dd><dt><span>convective_lwp_as_large_scale :</span></dt><dd>0</dd><dt><span>large_scale_cloud_fraction_scheme :</span></dt><dd>0</dd><dt><span>ocean_stratiform_clouds_scheme :</span></dt><dd>1</dd><dt><span>rrtm_radiation_scheme_activated :</span></dt><dd>0</dd><dt><span>climatic_ozone_input_dataset :</span></dt><dd>0</dd><dt><span>climatic_aerosol_input_dataset :</span></dt><dd>0</dd><dt><span>static_solar_constant_used :</span></dt><dd>0</dd><dt><span>cumulus_cloud_model :</span></dt><dd>1</dd><dt><span>sun_year_offset :</span></dt><dd>0.0</dd><dt><span>fix_solar_parameters :</span></dt><dd>0</dd><dt><span>cloud_bottom_level_with_no_clouds :</span></dt><dd>1</dd><dt><span>cloud_rh_with_fcc_one :</span></dt><dd>1.01</dd><dt><span>cloud_rh_threshold_for_land :</span></dt><dd>0.8</dd><dt><span>cloud_rh_threshold_for_ocean :</span></dt><dd>0.9</dd><dt><span>cloud_rh1_limit_temperature :</span></dt><dd>238.0</dd><dt><span>cloud_cloud_fraction_maximum :</span></dt><dd>0.75</dd><dt><span>cloud_condensation_threshold :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_fraction_max_for_convection :</span></dt><dd>1.0</dd><dt><span>cloud_cloud_liqwat_max_for_convection :</span></dt><dd>0.0003</dd><dt><span>cloud_shallow_convective_cf_param :</span></dt><dd>0.07</dd><dt><span>cloud_deep_convective_cf_param :</span></dt><dd>0.14</dd><dt><span>cloud_k2_convective_cf_param :</span></dt><dd>500.0</dd><dt><span>cloud_surface_radiation_hack :</span></dt><dd>No</dd><dt><span>cloud_arctic_cloud_correction :</span></dt><dd>Yes</dd><dt><span>subex_auto_conversion_rate_for_land :</span></dt><dd>0.00025</dd><dt><span>subex_auto_conversion_rate_for_ocean :</span></dt><dd>0.00025</dd><dt><span>subex_gultepe_factor_when_rain_for_land :</span></dt><dd>0.4</dd><dt><span>subex_gultepe_factor_when_rain_for_ocean :</span></dt><dd>0.4</dd><dt><span>subex_land_raindrop_evaporation_rate :</span></dt><dd>0.0002</dd><dt><span>subex_ocean_raindrop_evaporation_rate :</span></dt><dd>0.0001</dd><dt><span>subex_land_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>subex_ocean_raindrop_accretion_rate :</span></dt><dd>3.0</dd><dt><span>mit_lowest_convection_sigma :</span></dt><dd>0.95</dd><dt><span>mit_autoconversion_threshold_mixing_over_ocean :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_mixing_over_land :</span></dt><dd>0.00011</dd><dt><span>mit_autoconversion_threshold_temperature :</span></dt><dd>-55.0</dd><dt><span>mit_mixing_coefficient_in_entrainment :</span></dt><dd>1.5</dd><dt><span>mit_fractional_area_unsaturated_downdraft :</span></dt><dd>0.05</dd><dt><span>mit_fractional_precip_outside_cloud :</span></dt><dd>0.12</dd><dt><span>mit_pressure_velocity_of_rain :</span></dt><dd>50.0</dd><dt><span>mit_pressure_velocity_of_snow :</span></dt><dd>5.5</dd><dt><span>mit_rain_evaporation_coefficient :</span></dt><dd>1.0</dd><dt><span>mit_snow_evaporation_coefficient :</span></dt><dd>0.8</dd><dt><span>mit_momentum_transport_coefficient :</span></dt><dd>0.7</dd><dt><span>mit_downdraft_velocity_coefficient :</span></dt><dd>10.0</dd><dt><span>mit_max_parcel_neg_temp_perturbation :</span></dt><dd>0.9</dd><dt><span>mit_approach_rate_quasi_eq_coeff_a :</span></dt><dd>0.2</dd><dt><span>mit_approach_rate_quasi_eq_coeff_d :</span></dt><dd>0.1</dd><dt><span>mit_maximum_land_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>mit_maximum_ocean_precipitation_efficiency :</span></dt><dd>0.999</dd><dt><span>tiedtke_actual_scheme :</span></dt><dd>4</dd><dt><span>tiedtke_entrainment_rate_downdraft :</span></dt><dd>0.0003</dd><dt><span>tiedtke_entrainment_rate_deep_land :</span></dt><dd>0.00075</dd><dt><span>tiedtke_entrainment_rate_deep_ocean :</span></dt><dd>0.00075</dd><dt><span>tiedtke_penetrative :</span></dt><dd>Yes</dd><dt><span>tiedtke_midlevel :</span></dt><dd>Yes</dd><dt><span>tiedtke_shallow :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_downdraft :</span></dt><dd>Yes</dd><dt><span>tiedtke_prognostic_cloud :</span></dt><dd>Yes</dd><dt><span>tiedtke_cumulus_friction :</span></dt><dd>Yes</dd><dt><span>tiedtke_ke_dissipation :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_transport :</span></dt><dd>Yes</dd><dt><span>tiedtke_tracer_smooth_massflux :</span></dt><dd>No</dd><dt><span>tiedtke_shallow_wstar_closure :</span></dt><dd>No</dd><dt><span>tiedtke_detrainment_rate_deep_land :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_detrainment_rate_deep_ocean :</span></dt><dd>7.5e-05</dd><dt><span>tiedtke_shallow_entrainment :</span></dt><dd>2.0</dd><dt><span>tiedtke_cloud_cover_evap_over_land :</span></dt><dd>0.05</dd><dt><span>tiedtke_cloud_cover_evap_over_ocean :</span></dt><dd>0.05</dd><dt><span>tiedtke_coeff_evap_over_land :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_coeff_evap_over_ocean :</span></dt><dd>5.55e-05</dd><dt><span>tiedtke_critical_rh_over_land :</span></dt><dd>0.9</dd><dt><span>tiedtke_critical_rh_over_ocean :</span></dt><dd>0.9</dd><dt><span>tiedtke_cloud_water_conv_over_land :</span></dt><dd>0.03</dd><dt><span>tiedtke_cloud_water_conv_over_ocean :</span></dt><dd>0.0014</dd><dt><span>tiedtke_cape_adjustment_timescale :</span></dt><dd>2400.0</dd><dt><span>uwpbl_advection_scheme :</span></dt><dd>0</dd><dt><span>uwpbl_cloud_evap_entr_incr_efficiency :</span></dt><dd>15.0</dd><dt><span>uwpbl_eddy_LS_stable_PBL_scaling :</span></dt><dd>1.5</dd><dt><span>uwpbl_czero :</span></dt><dd>5.869</dd><dt><span>uwpbl_nuk :</span></dt><dd>5.0</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>driving_experiment :</span></dt><dd>MIROC-MIROC5, historical, r1i1p1</dd><dt><span>driving_model_id :</span></dt><dd>MIROC-MIROC5</dd><dt><span>driving_experiment_name :</span></dt><dd>historical</dd><dt><span>model_id :</span></dt><dd>ICTP-RegCM4-7</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.9rc1 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 100, bnds: 2, lon: 32, lat: 40)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 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 1981-06-01 00:00:00 ... 2005-10-01 00:00:00\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/165)\n",
       "    CDI:                                             Climate Data Interface v...\n",
       "    Conventions:                                     CF-1.7\n",
       "    history:                                         Thu Jul 07 17:39:57 2022...\n",
       "    source:                                          RegCM Model output file\n",
       "    institution:                                     Oak Ridge National Labor...\n",
       "    project_id:                                      CORDEX\n",
       "    ...                                              ...\n",
       "    experiment_id:                                   historical\n",
       "    driving_experiment:                              MIROC-MIROC5, historical...\n",
       "    driving_model_id:                                MIROC-MIROC5\n",
       "    driving_experiment_name:                         historical\n",
       "    model_id:                                        ICTP-RegCM4-7\n",
       "    CDO:                                             Climate Data Operators v..."
      ]
     },
     "execution_count": 15,
     "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": 16,
   "id": "be94f5d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#jjas_data.x.values\n",
    "#jjas_data.y.values\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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": 18,
   "id": "18269e45",
   "metadata": {},
   "outputs": [
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       "\n",
       ".xr-attrs dt:hover span {\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[2.17927827e-05, 2.13933308e-05, 2.12567156e-05, ...,\n",
       "        7.59974355e-05, 8.08874975e-05, 8.77504499e-05],\n",
       "       [2.11864317e-05, 2.08832516e-05, 2.05256001e-05, ...,\n",
       "        7.75653607e-05, 8.54473838e-05, 8.36988838e-05],\n",
       "       [2.05653923e-05, 2.03335239e-05, 1.94794156e-05, ...,\n",
       "        8.46634139e-05, 9.55786963e-05, 1.00208075e-04],\n",
       "       ...,\n",
       "       [2.16806046e-04, 2.42528797e-04, 2.79345782e-04, ...,\n",
       "        2.20444737e-04, 2.11302875e-04, 1.82475691e-04],\n",
       "       [2.20107308e-04, 2.60711648e-04, 3.16639838e-04, ...,\n",
       "        1.96795168e-04, 2.29429701e-04, 2.49268167e-04],\n",
       "       [2.11126186e-04, 3.36772064e-04, 5.30796999e-04, ...,\n",
       "        2.05720760e-04, 2.63516587e-04, 3.31312971e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'pr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ceac2101-1643-47e0-a617-783f456de69d' class='xr-array-in' type='checkbox' checked><label for='section-ceac2101-1643-47e0-a617-783f456de69d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.179e-05 2.139e-05 2.126e-05 ... 0.0002057 0.0002635 0.0003313</span></div><div class='xr-array-data'><pre>array([[2.17927827e-05, 2.13933308e-05, 2.12567156e-05, ...,\n",
       "        7.59974355e-05, 8.08874975e-05, 8.77504499e-05],\n",
       "       [2.11864317e-05, 2.08832516e-05, 2.05256001e-05, ...,\n",
       "        7.75653607e-05, 8.54473838e-05, 8.36988838e-05],\n",
       "       [2.05653923e-05, 2.03335239e-05, 1.94794156e-05, ...,\n",
       "        8.46634139e-05, 9.55786963e-05, 1.00208075e-04],\n",
       "       ...,\n",
       "       [2.16806046e-04, 2.42528797e-04, 2.79345782e-04, ...,\n",
       "        2.20444737e-04, 2.11302875e-04, 1.82475691e-04],\n",
       "       [2.20107308e-04, 2.60711648e-04, 3.16639838e-04, ...,\n",
       "        1.96795168e-04, 2.29429701e-04, 2.49268167e-04],\n",
       "       [2.11126186e-04, 3.36772064e-04, 5.30796999e-04, ...,\n",
       "        2.05720760e-04, 2.63516587e-04, 3.31312971e-04]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-be4b5076-2967-491b-bccf-868c87665e78' class='xr-section-summary-in' type='checkbox'  checked><label for='section-be4b5076-2967-491b-bccf-868c87665e78' 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-a4543d4c-ed21-4601-88bc-e9b69bdfe7c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4543d4c-ed21-4601-88bc-e9b69bdfe7c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75838bee-fd11-4213-b895-6f39448c3e0a' class='xr-var-data-in' type='checkbox'><label for='data-75838bee-fd11-4213-b895-6f39448c3e0a' title='Show/Hide data 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-f635bf39-b481-43db-bd34-66dae889a85d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f635bf39-b481-43db-bd34-66dae889a85d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a42d1e9-5844-4312-9e87-1d60d01b4e15' class='xr-var-data-in' type='checkbox'><label for='data-6a42d1e9-5844-4312-9e87-1d60d01b4e15' title='Show/Hide data 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-63bca5bb-ec54-4194-a0b3-fb43332c6bc5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-63bca5bb-ec54-4194-a0b3-fb43332c6bc5' 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([[2.17927827e-05, 2.13933308e-05, 2.12567156e-05, ...,\n",
       "        7.59974355e-05, 8.08874975e-05, 8.77504499e-05],\n",
       "       [2.11864317e-05, 2.08832516e-05, 2.05256001e-05, ...,\n",
       "        7.75653607e-05, 8.54473838e-05, 8.36988838e-05],\n",
       "       [2.05653923e-05, 2.03335239e-05, 1.94794156e-05, ...,\n",
       "        8.46634139e-05, 9.55786963e-05, 1.00208075e-04],\n",
       "       ...,\n",
       "       [2.16806046e-04, 2.42528797e-04, 2.79345782e-04, ...,\n",
       "        2.20444737e-04, 2.11302875e-04, 1.82475691e-04],\n",
       "       [2.20107308e-04, 2.60711648e-04, 3.16639838e-04, ...,\n",
       "        1.96795168e-04, 2.29429701e-04, 2.49268167e-04],\n",
       "       [2.11126186e-04, 3.36772064e-04, 5.30796999e-04, ...,\n",
       "        2.05720760e-04, 2.63516587e-04, 3.31312971e-04]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 18,
     "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": 19,
   "id": "6f88bd72",
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "\n",
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       "\n",
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       "  display: none;\n",
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       "  display: inline-block;\n",
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       "  list-style: none;\n",
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       "\n",
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       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
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       "\n",
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       "\n",
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       ".xr-attrs {\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\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",
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       "  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([[ 1.88289643,  1.84838378,  1.83658023, ...,  6.56617843,\n",
       "         6.98867978,  7.58163887],\n",
       "       [ 1.8305077 ,  1.80431294,  1.77341185, ...,  6.70164716,\n",
       "         7.38265396,  7.23158356],\n",
       "       [ 1.7768499 ,  1.75681647,  1.68302151, ...,  7.31491896,\n",
       "         8.25799936,  8.65797771],\n",
       "       ...,\n",
       "       [18.73204233, 20.95448803, 24.13547561, ..., 19.04642531,\n",
       "        18.2565684 , 15.7658997 ],\n",
       "       [19.01727137, 22.52548635, 27.35768203, ..., 17.00310255,\n",
       "        19.82272617, 21.53676962],\n",
       "       [18.24130244, 29.09710631, 45.86086068, ..., 17.77427369,\n",
       "        22.76783315, 28.62544069]])\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-ce57d352-626a-4dd4-88e3-d405ba4ff116' class='xr-array-in' type='checkbox' checked><label for='section-ce57d352-626a-4dd4-88e3-d405ba4ff116' 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>1.883 1.848 1.837 1.85 1.887 1.882 ... 26.86 20.8 17.77 22.77 28.63</span></div><div class='xr-array-data'><pre>array([[ 1.88289643,  1.84838378,  1.83658023, ...,  6.56617843,\n",
       "         6.98867978,  7.58163887],\n",
       "       [ 1.8305077 ,  1.80431294,  1.77341185, ...,  6.70164716,\n",
       "         7.38265396,  7.23158356],\n",
       "       [ 1.7768499 ,  1.75681647,  1.68302151, ...,  7.31491896,\n",
       "         8.25799936,  8.65797771],\n",
       "       ...,\n",
       "       [18.73204233, 20.95448803, 24.13547561, ..., 19.04642531,\n",
       "        18.2565684 , 15.7658997 ],\n",
       "       [19.01727137, 22.52548635, 27.35768203, ..., 17.00310255,\n",
       "        19.82272617, 21.53676962],\n",
       "       [18.24130244, 29.09710631, 45.86086068, ..., 17.77427369,\n",
       "        22.76783315, 28.62544069]])</pre></div></div></li><li class='xr-section-item'><input id='section-1dbf369c-4f46-440c-89d5-2b9bb1f278c4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1dbf369c-4f46-440c-89d5-2b9bb1f278c4' 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-881ee586-c98b-45d3-8756-14c66f3fe3be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-881ee586-c98b-45d3-8756-14c66f3fe3be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-628dc2f2-4ead-43b2-a86d-724c4abe1d88' class='xr-var-data-in' type='checkbox'><label for='data-628dc2f2-4ead-43b2-a86d-724c4abe1d88' title='Show/Hide data 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-a3b86759-4404-4f27-a405-1fbc464d37f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3b86759-4404-4f27-a405-1fbc464d37f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf3db988-dfa4-4e24-a572-25ad7b41295d' class='xr-var-data-in' type='checkbox'><label for='data-cf3db988-dfa4-4e24-a572-25ad7b41295d' title='Show/Hide data 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-828b000c-e132-47ab-82a3-238fadd4cc9e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-828b000c-e132-47ab-82a3-238fadd4cc9e' 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([[ 1.88289643,  1.84838378,  1.83658023, ...,  6.56617843,\n",
       "         6.98867978,  7.58163887],\n",
       "       [ 1.8305077 ,  1.80431294,  1.77341185, ...,  6.70164716,\n",
       "         7.38265396,  7.23158356],\n",
       "       [ 1.7768499 ,  1.75681647,  1.68302151, ...,  7.31491896,\n",
       "         8.25799936,  8.65797771],\n",
       "       ...,\n",
       "       [18.73204233, 20.95448803, 24.13547561, ..., 19.04642531,\n",
       "        18.2565684 , 15.7658997 ],\n",
       "       [19.01727137, 22.52548635, 27.35768203, ..., 17.00310255,\n",
       "        19.82272617, 21.53676962],\n",
       "       [18.24130244, 29.09710631, 45.86086068, ..., 17.77427369,\n",
       "        22.76783315, 28.62544069]])\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": [
    "miroc = jjas_mean*86400\n",
    "miroc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "6c5c5811",
   "metadata": {},
   "outputs": [
    {
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       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
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       "  margin-bottom: 5px;\n",
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       "\n",
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       "\n",
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       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
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       "\n",
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       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
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       "\n",
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       "  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",
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       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
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       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
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       "\n",
       ".xr-dim-list:before {\n",
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       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
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       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
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       "\n",
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       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
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       ".xr-var-dtype:hover,\n",
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       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
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       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
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       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
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       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
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       "  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([[ -7.99787869,  -8.14214186,  -8.3631407 , ..., -15.11891641,\n",
       "        -13.65608751,  -7.51544643],\n",
       "       [ -7.7934477 ,  -8.11176732,  -8.32974253, ..., -12.90719634,\n",
       "        -12.84990279,  -8.63960806],\n",
       "       [ -8.05706895,  -8.43603944,  -8.70943863, ..., -10.65994951,\n",
       "         -6.55854815,  -6.22449194],\n",
       "       ...,\n",
       "       [ 11.40462922,  14.03849912,  17.51353562, ...,  11.40277408,\n",
       "         10.23024225,   6.46439858],\n",
       "       [ 11.38301015,  15.57216728,  21.26827811, ...,   9.81059066,\n",
       "         12.46515477,  13.6464213 ],\n",
       "       [ 11.41981477,  23.13490485,  41.00359433, ...,  10.45589978,\n",
       "         14.99644782,  21.04155929]])\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-c2e47cfe-3d5a-4c99-9c2e-0b135b677fab' class='xr-array-in' type='checkbox' checked><label for='section-c2e47cfe-3d5a-4c99-9c2e-0b135b677fab' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-7.998 -8.142 -8.363 -8.618 -8.85 ... 20.98 14.03 10.46 15.0 21.04</span></div><div class='xr-array-data'><pre>array([[ -7.99787869,  -8.14214186,  -8.3631407 , ..., -15.11891641,\n",
       "        -13.65608751,  -7.51544643],\n",
       "       [ -7.7934477 ,  -8.11176732,  -8.32974253, ..., -12.90719634,\n",
       "        -12.84990279,  -8.63960806],\n",
       "       [ -8.05706895,  -8.43603944,  -8.70943863, ..., -10.65994951,\n",
       "         -6.55854815,  -6.22449194],\n",
       "       ...,\n",
       "       [ 11.40462922,  14.03849912,  17.51353562, ...,  11.40277408,\n",
       "         10.23024225,   6.46439858],\n",
       "       [ 11.38301015,  15.57216728,  21.26827811, ...,   9.81059066,\n",
       "         12.46515477,  13.6464213 ],\n",
       "       [ 11.41981477,  23.13490485,  41.00359433, ...,  10.45589978,\n",
       "         14.99644782,  21.04155929]])</pre></div></div></li><li class='xr-section-item'><input id='section-e63dfa25-e539-4aa7-a2b4-4f6e4f701ce0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e63dfa25-e539-4aa7-a2b4-4f6e4f701ce0' 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-1cc241f7-575d-48d9-9fee-c3c6629b1a1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1cc241f7-575d-48d9-9fee-c3c6629b1a1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83e43210-7d4a-40b9-9711-8882854c3fbc' class='xr-var-data-in' type='checkbox'><label for='data-83e43210-7d4a-40b9-9711-8882854c3fbc' title='Show/Hide data 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-1b488c93-7938-4178-89c1-cde2587afda7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b488c93-7938-4178-89c1-cde2587afda7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02e25b4f-1497-4fef-8a64-0c79ea2314d3' class='xr-var-data-in' type='checkbox'><label for='data-02e25b4f-1497-4fef-8a64-0c79ea2314d3' title='Show/Hide data 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-90ea144a-3f4b-4f75-907d-2508def11e74' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-90ea144a-3f4b-4f75-907d-2508def11e74' 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([[ -7.99787869,  -8.14214186,  -8.3631407 , ..., -15.11891641,\n",
       "        -13.65608751,  -7.51544643],\n",
       "       [ -7.7934477 ,  -8.11176732,  -8.32974253, ..., -12.90719634,\n",
       "        -12.84990279,  -8.63960806],\n",
       "       [ -8.05706895,  -8.43603944,  -8.70943863, ..., -10.65994951,\n",
       "         -6.55854815,  -6.22449194],\n",
       "       ...,\n",
       "       [ 11.40462922,  14.03849912,  17.51353562, ...,  11.40277408,\n",
       "         10.23024225,   6.46439858],\n",
       "       [ 11.38301015,  15.57216728,  21.26827811, ...,   9.81059066,\n",
       "         12.46515477,  13.6464213 ],\n",
       "       [ 11.41981477,  23.13490485,  41.00359433, ...,  10.45589978,\n",
       "         14.99644782,  21.04155929]])\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 = miroc - trmm\n",
    "bias"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "445388ed",
   "metadata": {},
   "outputs": [
    {
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       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (lat: 40, lon: 32)&gt;\n",
       "array([[-80.94383887, -81.49863331, -81.99381883, ..., -69.72031491,\n",
       "        -66.14793628, -49.78077742],\n",
       "       [-80.97967392, -81.80417166, -82.44694891, ..., -65.82334311,\n",
       "        -63.51101817, -54.43578696],\n",
       "       [-81.9314159 , -82.76423719, -83.80535996, ..., -59.30474277,\n",
       "        -44.26502291, -41.82432141],\n",
       "       ...,\n",
       "       [155.64332267, 202.9861427 , 264.47741399, ..., 149.17967529,\n",
       "        127.45859149,  69.4984444 ],\n",
       "       [149.10427905, 223.95300909, 349.26699542, ..., 136.40006162,\n",
       "        169.41941974, 172.95080955],\n",
       "       [167.40944691, 388.02621845, 844.1701843 , ..., 142.8718989 ,\n",
       "        192.97007111, 277.45105938]])\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-09e848d0-bbb9-48eb-b7d3-a658f1e01b73' class='xr-array-in' type='checkbox' checked><label for='section-09e848d0-bbb9-48eb-b7d3-a658f1e01b73' 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>-80.94 -81.5 -81.99 -82.33 -82.43 ... 357.1 207.3 142.9 193.0 277.5</span></div><div class='xr-array-data'><pre>array([[-80.94383887, -81.49863331, -81.99381883, ..., -69.72031491,\n",
       "        -66.14793628, -49.78077742],\n",
       "       [-80.97967392, -81.80417166, -82.44694891, ..., -65.82334311,\n",
       "        -63.51101817, -54.43578696],\n",
       "       [-81.9314159 , -82.76423719, -83.80535996, ..., -59.30474277,\n",
       "        -44.26502291, -41.82432141],\n",
       "       ...,\n",
       "       [155.64332267, 202.9861427 , 264.47741399, ..., 149.17967529,\n",
       "        127.45859149,  69.4984444 ],\n",
       "       [149.10427905, 223.95300909, 349.26699542, ..., 136.40006162,\n",
       "        169.41941974, 172.95080955],\n",
       "       [167.40944691, 388.02621845, 844.1701843 , ..., 142.8718989 ,\n",
       "        192.97007111, 277.45105938]])</pre></div></div></li><li class='xr-section-item'><input id='section-95aa93a7-8bd4-4d97-b098-30470e3ccabb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-95aa93a7-8bd4-4d97-b098-30470e3ccabb' 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-4c4a10bc-8b1a-4225-92ee-3da8f35f3db9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c4a10bc-8b1a-4225-92ee-3da8f35f3db9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc638523-a134-47cd-879d-515d47005fdb' class='xr-var-data-in' type='checkbox'><label for='data-fc638523-a134-47cd-879d-515d47005fdb' title='Show/Hide data 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-9c98eaa7-f1d9-4d18-b4af-c33ab7a8d849' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c98eaa7-f1d9-4d18-b4af-c33ab7a8d849' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adc2e231-9d70-405e-a719-b9694ab3bc7f' class='xr-var-data-in' type='checkbox'><label for='data-adc2e231-9d70-405e-a719-b9694ab3bc7f' title='Show/Hide data 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-879a4a33-15d6-4607-b192-bf4f899fff83' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-879a4a33-15d6-4607-b192-bf4f899fff83' 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([[-80.94383887, -81.49863331, -81.99381883, ..., -69.72031491,\n",
       "        -66.14793628, -49.78077742],\n",
       "       [-80.97967392, -81.80417166, -82.44694891, ..., -65.82334311,\n",
       "        -63.51101817, -54.43578696],\n",
       "       [-81.9314159 , -82.76423719, -83.80535996, ..., -59.30474277,\n",
       "        -44.26502291, -41.82432141],\n",
       "       ...,\n",
       "       [155.64332267, 202.9861427 , 264.47741399, ..., 149.17967529,\n",
       "        127.45859149,  69.4984444 ],\n",
       "       [149.10427905, 223.95300909, 349.26699542, ..., 136.40006162,\n",
       "        169.41941974, 172.95080955],\n",
       "       [167.40944691, 388.02621845, 844.1701843 , ..., 142.8718989 ,\n",
       "        192.97007111, 277.45105938]])\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": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias_percentage = ((miroc - trmm)/trmm)*100\n",
    "bias_percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "08ba09cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ZnokSkfeNhaSUB4UQ61F9c28703Ap5RYhxO+oB5hnpZT7hRAPolzL/wkhZqH6T5ujnsi3oJ7QQQ33+A1YLoT4FPVbuN1QpofNqd5ABS/dBgwVQvyAcg0moIJUzkH17Tpq536USLgFd9dnwSuocVk3oP5nSCl/EEL0QF2vjUKI6Si3vTFDSTQwUUqZbtG+CiHEhajfz9+G/8siVIRyK1R0ZhvMfVYzhBAlqN/5cZTVciPKM3CrBz6nPd5A/UcfRQV92EVK+XlNKjeI8FPOlDUEPHVGeTr8m7oMzfT3F+om9RFK2E6jIvEOosz+LnbKN0eFUR82lM1AWXS32ZS7ByVYxai+u7uwCatHjcv6GuXCLELdOBcDE+yc91qUdVCCEqavqZwV4gug3M6xVuc1bOuDukHkGc77NUrcJPBUVcc6uI7DqDwEoBTVn/cClYdPfEHloQBno572C1EBHu+gHjQkhowdqIeJt1CikYsSt02o/odgm/puNVyvBJvt6dhkKLHYN5TKQyzGofoDcw1t22No/wCbYy80tKvE8J1PQQ0xKHJwrnNQYe/GPtmTmAdW6yzKOQxHt3P9nR4K4Gp9uJChxLAvyHCtDlE5G8lZKK9DpuF3cgiVdqxdFW2KBh42/EbyDMftBT4GuluUuxPlps4yXNcTwEygZw3uD84MBbB7zQ2fRw90ru5a2Rz3L1UMBajiuDTsZyi5y/C7jXX18/vaSxg+kEOEEBNR0U19UDe0g6hxIc9Lg4krhPgCZVnYY6eUsoNFfcNQ7oRUlMVxhzRkHxAqm/x+Q9GR0ibDgBBiKeqGPKzKRmtouIhQiZP3ohInv+qlNswBOkkpHSYE1tDwFIZuj63AfCnlvdWV93Wc6XO7HzVWZyrKcnkf5fv9y6IP4BngDJvXZYZ9vxgrMtxAfkA9PV2AskbucnDe51z5IBoatUFKWYByK98rPDzljRAiWNjMfCCE6ICyziqljNLQqCMuRA0af766gv6AM5ZbslQBEpbbrkZlxa9kXVmUeRwVkdZFSmkMe+8DfCil7G1YPw+4UUp5nmE9DWW5/YlyO42XUv5qUadmuWn4PYZghsUo9+4hVF/QzSjXXE8p5d4qDtfQ0HCCagNKbIXNwGrDexM7+4xcDaw1CpuBg6isG8NQY5iuRPU32DITNUj2WSHEb7I6BdbQ8C9Oo3KJTkG5+otQQTSPasKmoeEeahotOdTwvt3eTqESdbZBddaakFKeEGpyvL8M516D/YgkicrEMQ+VxWBGDdupoeFzGPqqL/d2OzQ0Aplq3ZKVDhCiCWocyUYppd3M2Ybw7CmoRKiVRrkbxvckAvukxVgKC7fkDVLKT4QQS1Dh8J2klOXOuCWFEDeiQnkhMqw3uno2lK9cD8UWCTJCgiGsrmfxqCHFpVBuZwaP4CAICw2QpEAaGg4oK4cSw+QPQkBkeOXffHDN/sshERHVF7IhOjKy+kIukl9YSFnG8T+klFUNWHcLLlluQoho1LiscpR42SsThhpz9Js9YQPTuAtnBkBORfVNTEaF1FeLlPIjVLg+IiZS0sNRGsEA5sgJ2G/IQVteAV3bqD+Kr7P/qGq7LeUVkBwFrZtW3qehESjo9fDfVvV7lxLaNoO0tBpXl9qth0vlz+zVs/pCbmDG+ZfVSUJmp8VNqIkTf0F1fg+Vdib7MzABlf3hy9o2Tkq5RAgxH5U/sbq5izSMpCZD1inIK1R/koPHoEOat1tVPVVZmBlZ0KwhhPqJFaqh4So6HSTEQqbhub/E9QQh3hS0cZ27mJbnbq0u1a3ncUrcDKlvZgH9gFFSSrsJbQ1cgxoQOa/2zQPUqP01qGgyDWcQAlo1hY2GWJ2Tp5S7w9fdkxE2Efgd0mDPIbOr8nQ+FJUo9014KKQ0UG5XDY1AICkFCsvN4nYiC9q3qvYwb1tolqJmuc3bAlftncEwlu0bVGqkcVLKlVWUbYgK4X9Puj5zsF2klOsMqYymolJSnXZHvQFPTCTERkFugQrPOXICWlUV3OoDxMeoV36hckEmxcOBDLO47TxgXT49A1KToHljCKpnfau1RUr1EKThXZJssthZeiYqHFtuviho9sp4U+Cceex9F5WP7TmgQAgxwGLfYRv35BWGOmvtkrThcVSqohTckIm83tAkWYkbwNFMSIqD2KqS7XsZIaBLa+sbb3KCcqvaQ0o4kgk5edC5lQo60aiak6fVbyG3QD0QhIdBYiw0SaHeBV/VJeUV6qEtOAhatHD8YHHKYm7WBOup7LwtaOCcqNmW95bAOSNuYw3vj1I5Qes0rBNyXgNskWpaFrchpdxh6HOb7M56A54GcWbrDZTl07M9BPu4K8/yj9+soRKxYyehvBxiopRAn8pTNwuAwmLYshd6tIOgIO+02deRUgXsHLUYtmq84eYXwokcaNMM4nz44ccdSKkEvqBI/c6CgiA0WHkMPOXiLihSv88yw4xF+zOgVxeIs5lTtaAQDlrMMtMg3mVBA+9YadUd7w2Bc3kogD9Rb6MlLSkuhQ07za69JinQMrXqY3wVS4vOKHj7DpunYG3eSL1coaxciX9RCTSI9Y+o0uooK1f9k2Xl5ut1Itv8kFMVjRIhLVVZGIFGcQlsT1diY0tQEHRqWTtxl1I9dJ0y9A2HhUCn9pBxArbZTLIepIMu7SGpARQVqQeMnfugpBQAERxMyh03EhTjXHt8TdDsYRS4GedftlZK6XB6H3fh44/wGrUmPFT1Xxn7q05kQ1pj/+xvsWyzENDYEFG81+AZP3JCuWKrst70ejh4HDKzVZ+G5bi6A0eV+Ddr5J99eHoJGZnKjVtFfw0N4lT/q0BZMQcyzOWPnYTsXPWbSYyrk2bXCVLCjnT7wgZQUaH+I7071uy7LyiCfUfUQ4UlGQ4ms67Qw0a7OTAgKIj4C8+rVth8we3oLN6w3DRxqw8kxSsBKK9QT/OlZYHTP9UoUbnaikrUDWP3IeXKjAiz7kPS65XlcvCYYwtGAodPQOYpaNO0Up+HTyMlbN8POblVl2vWUFm3xgeF1GQlYnsPK1ED9fvYvl+5tJumqOvgjw9DlmTmQL6FsDVKVO758nIl6KA+d0aW+szOUl4OB445FjFbmjaGU6fNLnUbRHg4DSZdSFjzqsd0empMmqUIuUvofLnPTcPfEUKJWbnhz11aHjjiZrTg9hn6KrJOqZdxn/Ep3F7mEyPRhkwMxhtOSSls3QcJMcqSCw5SN77SMiWg4aEQEa4E1Fdu+qfzrYUtLET1I0lA6lXgSFI8RNnJVBEWCh1bquu274i5byi3ALbtV67aJikquEdXh59XSiW4xvGaOsPvODhIrRtfGLJ5RIXbD4qp0FsHJTVrCC0am9ejIszW/6Fjar2gUJ27pFR5AuKi1fWMCDNnEskrUJ4QSytZCGjRRAnnnvTKbenWQZXZkw6HM9DpgghOiCcoIZ7gxAZEdutMUGxM5eMsqKvB1u4QOl+PltQIBCw7y8vcMkrDd2iUpPo6sm2sFikdi1qzhspq0emUAEoJx7Mh/aj5mJw89XJEcJASjOQEZeV4U+gsLYekeGjX3LXoRyHU54iPUW7K49kG4UAF7Ow+CAcz1DVrmOj+PjkplUhUGLwL2bnKoip14bdq/AwtGpkf3vKLVL9sserLIkinPoMlDRvA4eNKsCr0sNU2d3WZugbVWWdJDaBbe4iNUZ/n6DF1nGX7dEIJX8c2pF460fnPZqCuhM0WeyJVneD5/Dg3jQDBcgB3YbHqdwkUdAI6tFRP0Tm5yuIwWh+WRIQpEWqUqKIuLRFCbW8QqwTuhBPZ4cor1A342EklKG2aeicStaRU9Z0Zadaw5mH9IcEqarJZQzXM4vhJs2VSUqYiLvcfVeIWGqJ+V6EWL+NDVEWFynNaUWEWLdt3y/1617NxVEJK9RvIzFHjPMsrrMUFoGWTylGROp0KorEdR+kskeHQuR2kNjQ/4AgBXTvAqg3mck0amX4fvhAFWVtsxcsvM5RoBAAxUeppHCDXvr/fr9EZxKlRolqXUgVYVBissJBg5yyr0BBo10IFlRw5ocQyKMh889YJZQUUFFkLaNYpdSPt2b7uLDgpzVaVkdgo+65HVwkLVUEnzRsqi+VolvXnLa+wLx7uJiRYWWMhwUoESw3JtY1WkBDqe84vNFtnUtrvV01LVVaaPZIT1PuRTPWbiQw3D6UpLoXTeeYI1GBDMvKwUNUfGR8NyQ0r19k4BQb3UYIbEgytmgO+MV7NEzgjaIvXra+Dlig0casvxFhk+C50EDEWSAgBQaLmUY8RYcqCcYTxBnrspDldUmGxCmxxdjiBXq9u2I7GV1XooahY9ZGWlakba1m5Yb28ssCCa8EQzhAcrIQ+NUXdpDOyPCdoQTr1IBGkM6dXS4xz3go9laey1lgGawih6mjWsHrRT04wi5wlEWGq/9URtllGrPY1UC8Cw1qrDXUpbKCJW/3B8gZaVXCFhnMIoYIMwkLM4gbK2isuVdZEeCikGPqxbK25rFOw66ASuOR4ZQFEhivXX24B5Oar/iJnx6EKVD5RT7mbg3QqcKdxkmqTMeq2pMwcbGMUYWMgT1CQWayCdMqVaW+7cbm2Fm98DPSIUeJbXKrqjI7w7MD+qoTNAk3Y6lbYQBO3+oOloAXiAF1vkXHSet3o+gUVTZeZo9xXKQnKctAJFcG4I91cLvOUetUEYyRf0xTlQqsLhDC7aX0xoUlkuE8NxteEre6FDTRxqz/kWfRB2Gbf16g5zoTGl5TCoeM1qz8iTIljSLD5FWp4Dws1TGjpI8MR6htOWm2uogmbe9DErb5gGf3ny8mT/Y1mDZVVfCJbuSJjIlVfUXioCmc/kV21GzhIp8aQ5eYrt15IsLLw4qKVJaZN6ePXuGK1BZKogXeFDTRxqx8Ul1inBUqx02muUTN0OpWqyt4s4fExKtXZydOqH80YzYdU/WlRESpoJTxABtTXJ5yw2jRh8y6auNUHLF1iCTGBk53EH9DpHEfhafgnmrA5xBdEzYgmboFOfqF1kEOqi/0EJ7JVlnNj1J+Ghobb8Hdh8yUxs0UTt0DGOIeXkYTYqsfr2HLomEoKC0rkurezHi+noVHfcKPV5s/C5suiZiTwxa20TIW+18dZhrNzrfvaXJnHLa/ALGxGcvM1cdOov7hJ2FwRtdpk5veFFFjeJLDFrbAE/tuqxK1rG/ekJfIXbK22xknOj/2R0pxl3xJ35P/T0PA3vGCtuWO6GWMdnhA54+fwZQsusMXNeDM2Jri1F9EWqJzOV1GSoAb6ujJDdWGxmmbEFn3gztquoVEJL7kg3T1haH0VucAWN0uKSrzdgrrFOKcZqGAQV8ZLWWaYt+TQcRXOnhCjsuDXR1evRuATIKJmr35PuSp9UeTqj7jZmwIlUJHSWtyS4l073lLc0lLVRI9GKzgzR73SM6BTS/NEnxoa/o4Xg0U8LWy25/G0yFXFDI+cuTKBLW4RYWaLrbAY4htUnm8r60Tdt8vTnM43Z8UIDXEt52Bhsco2D+Y5zmIiYdcBlSTXSGkZbNkL7VuoKEwNDX+lHoiavfMGesBJYItbWBiEhKgoPykh4wQ0s4kYdPTD9mfRs5ySJC7a+dyDUsL+I9br5RWqjj6dlOhl58LhE8qSK6+AbfvVrM/aIGUNf8PLYf3eEjbb8weqyAW2uAGkJCpxAziWVVncHOFLolehV27VsBDnhMoy678r7tiCIsjJs962Zpua6DQqXEWbxseoPrft6cp6k1LNYHw8W+VUDA5S6aR8KCu7hoYV9VzUbAlUKy7wxS3ewmV2MkdZHLUJhLD9Y7hT7IwuwYgwJSR6CelHVaSnlKp/q0uryq5VW0w5DHFtBoB8B5OY5hVYzyoQHqrclSdyzBGZp/LUy0hSvHJZahnrNXwFTdQcEohWXECLW0hEBEmjz+b4tr3oCwuhuIR4EUpkN/OP7OimDbU7SYMkJZhGwamp2B3Lgj2HzeuR4crtV2rRz5VfCCu3QLe2jvvRpLQWmWgXxvaFhThXrrhUBZmkNYaiUjh+snKZrFOqr65JLacF0etVAMvpAiXUqUmenXxSIzCpRtjqq6jZEkhWXECLG4AICiKqXy/y/l0KQN6iZYS3b4suXFk0lj9qp4SuoBAOHoXMbDidq1yGoJIRx8VAy2bQKNlssdiKnZTK9ZeVo45tEKvceYdtyln2m9my6wD07mjfKso8pTLQG4lzYXqbuBjrIJwgHfRor9YLi6CgGLJPmz/zoeOqL65pikrPlV+kyhqtufQMFYQSH60saGfmPrOkrBy27bMec5d1SvXx1acB+Ro1pwpR83RyY38SNUsCxYoT0tlp7P2Q0NRGMvmGa9AXl3D8rQ+QhptuaMsWxI0ZiS48jIq8AipO51J64CClR44R1rI5McMGk7Flk3Vl5eWwbQ/sP6QEqiriY6Fja0hJshagkhJYtV4FZVgiULMz20MIaNVEjVOznL25fYvKQRxl5bBuh7mfLTVZHesKxSVwJFNNsNkkpbI4lpXDhl1qP6iUXpbWmV4P63dWHlcYFw1dWrsW3LJ5j7VQW9K8kWsD0zXqHw6ETbPSXMPdIjfj/MvWSin7uLVSOwS85QYwbOAADlToWfHa2wCU7j9A5vuf2S1bduQosryc1LNHmLYd3bgeVm+C41n2TyCEteCdyoUV66FBHKQ1hdgYOJYJ+w5auxmNWApbo0Ro0VgJoJTK6jFYmTRKVP1voII4cgvUZJmhIUp0tu41C1toSM1u/uFhVWdyCQlW59xzSK2fyLEWN50OOrWCHfuVpWfkdL4SPmddisezrYUtJlK5ZY3X6uAxJaBJ8eoaaa5KDSN1LGqBKGiW+KslF9DiFh0ZafqhthgykLwjR9kyY1a1xxWsXk9k966ENEwGIF4XyilLYUuMh5bNISnBPDdaQSHsP6wsO+OA5+zT6mWPpo2VKB6yyP8YEaYEKSQYGjaofEzzRpCTax5vlpGl+ruS4pVL0NKV2bqpddSkO5BSvZLiYd9hFfBSUKRelm7CiDDlzkw/qqxAI/uOQNvmzp3rmEU/XrOGSvALimDvYbPoGQeUhwRD59au9S9qBCY1FDZN0KrH30QuoMXNli6TJtKgbRv2/fUPxzZuJigkmIgGCYQnxBPXrCk7f5mnClZUkPnxl4R3bEdk967kLVxiqiOyb0/ixoxCWLjXjm7aANFR0LU9tGkBu/bDgcP2czFGhEPPTsplCdC+JWSfUuPxGiZZR3La9teFhkC3dqrPzZjtXy+V9WRJm2aQGFezi+SI/ELYvh/KKiApzvqzncqr3AcmhBIkS3E7nq1cqc7MC2dp4QYHK1GNilCuzZ0HrLOolJXD3kNqSh6N+okmanWGv4hcQPe5NWjTSo5+7Xmny5/ctYe/pz6F3pjdwwYRHk7DO28yBaM44uimDcqKOnxUBY7k5quxYmlNoXFKzYYiWAqdlMqC23vE3PdlxF5fXG0pKoGt+8yBIrY0TVFpuhwdu3a79bYmydCymr7Abfutrd7wUBV40zhJWaS5Bcq6y7QQ9sZJKo9mjAsZWTT8mxoGjPhSzsdAoDqhs7yGV7XtWid9bpq42ZC1YxcbvvyWrO07K+2LPWsY0Wf0q1Fbaj3kwB4lJbArHSoqlEXYOAVK7WTzdxbbG0VpGezcp/oKq/qd9OgE0aGO91tOemo6pl3VeSmLS2Dz3sriHaRT1ltMlGrff1srH9uplYpC1QhsamCtectSG5TswlyKNizLPFp9IR/BUuQcXTtN3NxATcTNyKn0A+z9cyGHV62hNL+AiP69iRk6yModWVM8InTuJuc0rNpQ2Vpr2khFgxpdhaEhkNqw+ijInNOwaJV5vWOa6rusipJSNZzAcvgBqD6/lk0gNBgOH68snAmx0LlV1XVr+DceFjZ3iFptBK0q/Ens7KGJmxto1bWzfHr291WWccVv7InpHHxS6HLzYfEqc/JlgAbxqk8xwcW+vMJi2L0fDh6xFqiIcCWMjZKV1RdRRbouvV71KxojNE1tilWuyK37rLdr4haY1GIgdl1OEuopUbOHPwpdXYlbvQoosYcrnaO2fxB3iJ3xD+kzIiclrNlkFraQEOjeEZo4YZ3Zkl+grDV7+S2LitXrdJ6qt3dXZRWWlcH2vXA4w5xyrEUjFT16NNM6IjQ7t3J6sYgwVV4jMKhlyqy6stbqUtAcndcfhc6T1HtxM1KTCKCq/jiuCp/LmVI8RV6BOdG0EDC4j8pcUhMOZTiXuFlK2LRdRYsuX6dcmEZyclV7+nVXUaCbdlsfaxmNCdCuhTbHnL/jhKAZ8ba15i1Rs4cmdNZo4maDu8JcHf2xnBE9r1pzlgEcCXE1FzZQAS57D1i7N4N00DBZWYISZSWCCg5ZulpZcrZU6GHlBmVBjh0Gv//r+Jy7D6pgFW2WcP/CBUEz4kjYPC1qviRojjC2sT6LnCZuDvDUWA5XpmP3jjVn0Qer1zsu5gzxsTB8IOzcq8bFNU5WwmY5uLywCLYZrDFLYWuWCq2bq6CWomJl3W3YBpt22D9XkE6JYGGxGk/XOKl2bXeF8nI4dEJZmRUVKpKzVRPVp6jhmBoIGnjPWvMHUbOlPoucJm7V4EmRc8V16UqSV0ucFsWCQsjIVJaWEXdkOImKgF5V3EhaNlNZXYos+tJ0Ajq1UUEmZ/aDFevMrlJbwQ0Ohj5dIS8fthpE8lQ+dO1Ud3PvbbVJ7lxySomts9lY6gtutM7s4Yyw1RdRs2VQcmq9EzhN3JzEEyLnihVXUxzdHGR5OcW79lJ66DAl+w9SfiKzUpn4MwcR2aWT29piV2hDglW/3pZdar69yAho38ocPRkRDoP7wq59cOS4EkGdTrlMkxKUOIaHKWvJKG75BqEx3kw9KXLFpdbCZsR20tf6iJv6zqrDU9ZaIIiaJfVN4DRxcxFn/yA1CUzxpMhZUpGfz8npP1CeaT8RtAgJIWboICI6d3Treau8gZ0x0LGVGRoCXdpD53aqTzA0pHKfWmSEOYF1SalyFRrn2LO8ybpT6PR6NdWPPXx5iI2zouPqtXKy3toImS2esNYCTdQs8bbA1eW11cTNQzj6Q1Ulep4WOSklJbv3cnr+31ScsknoHBREWKsWhLdvS3j7tgRF1X3EYVU3vaObNijxcpT6TAglcAUGK6qgyH4wjLusOSmVO9KY49OWsnKVizM4WE2w6o3552rYp+W243GvkFmiuSBrjjf64bxxXTVxq2OccW+62h/nDPrSUk799BvFu/aYNwpBVP/ehLVoTmjL5uhCq0ih5WUc3SStrL2YKLO47U6Hnp1V35c9amvNHTvpWNiMGJM7n8hWs6fHePCBwQ1CVFvcJWQ1mUfNFl+y1hpKc/7T48LNeV9rQV1Ycd58WNDEzUtUJ3LutuLyFi62EjYRFkb8+LFEdPTvTPqWN9Si4AhyZs5RK4cz4ESWirpMawIxVcxIXhNr7uTpytsaJymLLeuU9XYpVX7NTm7OmuIFQaupgLlDsJzB26JmKWSu7PeW6HlC4HzF+g1ocYsKDnHpQnvDF10XIqcvLaVw/WbTekT3LsSOGuYV16MnCe/YjvD2bSjeaRDx0jIV/bn3gAo+6dJeDU9whCOxsCd68dFqqh9bOqSpgJb8InX+g4a8l6fy1Hi/2kagekDQfMniqg2uCJu7bsDViZk76vG08NXGTekrQmaPgBY3V3H1i3KnGI7r3MWp/riakL5oGcfK1PxowcmJxI8f65YE0L6GEIKEi8aTv2I1hWs3UJFrIT5ZOSpf5sDekGRnItiqsCcomXZuRsZxbdGR5iwpmTlq2h+9hP1HoW0z185dVRtcpK4DOeqKuhQ1d4mZL+KsFefLgmaJJm61oKovuSbC56kxdQcWmSdbbX1Gf3r27uWwbF1FbHoKERxMzJAziB7Un5J96RSu36QsOb0e9JKgbXupGJLgep5MW/R2+vKK7Mx316wh7Dqolo+fhIYJEFuFi9SWWoiau4M5vNEX5ui/UJfuR28KWl27K6sSOH8RNSPVipsQYiJwGdAHSAEOAj8Bz0sp82zKDgCeAgYAIcA+4Dkp5QyLMsOAD4BU4DvgDillqWFfGrDfUHSklHKhTf1LgXIp5TCXPqUXcPRDcEb0qrPiXKXCIr9jxroN9Jh8BcJBeipPPZHXtWgKnY7wNq0Ib9OKshNZZH3yFbK8nIrsHCIPHid6UH9OHD5QfUWOSIwHmzSXnMiGvj3U2D2jKzM5ATJOqpydoMbEOSNuLoqaN6MSq6M2uRu9mfcxkK20qrAUOH8TNEucsdzuRwnaVOAw0BMlYMOFEAOllHoAIcQ4YDbwLXA5UAp0AkxzmQghooAfgJeADcALwF3AK3bO+xxwRg0+k0/jrOnvToFrNWo4JzarST1zDx8lZ186DdrU7ZQw7kwy7SohKUlEdO1o6ncsXL+JwvWbiB40gJgRQ8jYvNH1Shslq3F3W3eZt4WHmfvULMUp7rhZ3OLiq67XB0TN24JWW/zVSrPFm5GV/ixqRpwRt/OklJbpKxYJIbKBL4FhwEIhRAzwOfCelPJui7ILbOrqCBySUr4GIIR4BriRyuL2J3C2EOI8KeWvzn4Yf8HZDlx3uSmFztoFFxTmYKyYl6hNkmlniR05jLLjmZQdNU9smr9sJQhoPHwIQgiOblwPWdlQUgYpiVXnhjxyDLbvsd7Wqa19d2eIRT1Hj8MZvWrtFvVFlyNooqbhO1QrbjbCZmS14b2J4f1iIBl4rZrqDgJtDK7JzcCVwC475WYCScCzQojfZIDOqOqKyNVU4Pb8sYA1739qWo9r0YzYpv7xVObO+fN0kREkXXslJXv2k798FaUHDwOQv3QlJekHiejUgdAdu0zbiYlS0+yUlkNpqYp8DA1RoieB9VvNeS6Dg6BHJ2ja2P7JUxuq/JkAJ04qa69Zqgo6CXItetIXg0L8VdDAd0XNl8bDuZO6vN41DSgZanjfbngfDGQDXYUQ81AWWgbwCfCslLICQEp5QgjxGPCX4dxrgFvt1C+Bx4B5wKXADDtlAgZnXJU1uYGcPnmSOdPNM5EnN21C73vv8NtIydqKndDpCG/XmrDWaWR/P5uSPWoG77LDRyk7bHP98wrg7+WVK4mLgTYtzNP4RITBwD5KDB2R3ADapMGedLW+54B6hYfBkL7gxJAMd4iaO/tTvSlooFlp/oY3rrnL4iaEaAI8DSyQUq4xbE4FIlH9bc8Aa4FRwONAPHCP8Xgp5dtCiK+BRGCfsc/OFinl74YAkqeFEDOllE7MeglCiBtRrk5SmzV19eN5DU+kxJn99vsU5assGo1bpTFt5ndEWAxmdndUZl1TU7ETQUE0uOR88v5dRv7K1a5N7XM6D9ZaXLdGyVULm5HObdWxmSfN24pL1JQ+w89w6Kb0pUHT7hI0b/TnaIJW93j7mrskbkKIaGAOUA5MsdilQwWOPCqlfN2w7V8hRCJwmxDiKSmlKaWDlDIHcOaTTwUWA5NRVmC1SCk/Aj4C6Nqzh9+5M92VMaCspJQVv8wzrV/+yANWwgbWNyt/FzqwvqFXJ3QiOJjYUUOJ6tuTwo1bKMs4hggPJ6pvL0r27id/xX/IsnKoqCCsbStkSanZZWmJsynLhIAeHWHBMuukyrn5ygoMsf4ruipqvixmoAmaKwSCS9IXrr3T4iaECAd+AVoBQ6WUlv904+PoXzaH/QncDHQG7Ph4qkZKuUQIMR94Qggx3dXj/RV3WHFbV6ykME+N1Ehu2oTuQ4dUWd5TY+y8hbNWXVBcLDFnDrTaFpraiJgh1oG6Ukqyv5tlcmUaSTxjAGHNmzo3b15UpOq3s5ztHKyEzduipgmaRm3wpevvlLgJIUKAWUA/YJSUcrNNka2Gd1tLyehrqc2Uzo+i+uZurkUdfkltRG7l3Pmm5b6jz3K6ny3QrDkjte6vE4KEC84lZ85cSnbtVdMCDR9CWHPl+nZGlKSUHP9zKXqsxS0xPslUj7P4av9ZXQuaL91M3YE/W22+9l04M4hbB3wDjATGSSlX2in2M6qvbQxgeUccDRTbbHMJKeU6IcQslIvyKGAnY21g48hV6ehG8vf8P1j2s3kExfWXXUZBDc5b1U3P34WvJmKniwgncdJFyLIy0OkQLkY6CiFoMOlCsn/8GX2eeUaB8pPZToubL45B0wStfuOr34czltu7qFD/54ACQxYSI4ellIellFuEEF+ggj90wDpUQMn1wDNSymrmBqmWx1ECmQIsqmVdfokrN5B5s382LTdukkq3Xr3QGTKSuCtgpbobpL+JnytiJ0KqGP9WDaFNU0m69kpO/O8D07aQpESX2+cq/iZovnTDLDiq0tdFpVbt2q+P+NL3ZIsz4jbW8P6o4WXJNFS2EoCbgCPAHUBDIB24V0r5v9o2Ukq5w9DnNrm2ddUHoiwCR8698EKTsIH1TcmTsyDUZLJWX8KTE8fm/mHOKhec1ICQJg7Gx1FzUfMXMavrm6NRqGp7rCeEzt9ckr4sbODcIO40Zyoy5Id8zPCqEVLKdMz9dLb7pmAdoanhgPadOpmWj2VkOCznjRl57d10fVnwXInAdIbinbsp3mHOWxA3brTdPJ+uiponxp15QtDq8oZYGyFzpe76ZtH5uqgZ0WYFCEC6dO9mWl4w73dKSkoIqyLlljdEzhJ/EbzaCp2+tJTTv5sz0kX26EpYC+spcLwtav4uaJZEpQ7xmMDVN0Ez4i/CBpq4BSTdepmntCkqLGTLho307t+v2uPqYtp5Z/F1t2ZNhK54x27THHNhsTGMvvcOwmJjanR+f4hw9IUboaUIuUPo6quogW98n66giVsAIoSgW6+ebDLcdB+87XZ+X76U0NBQpJTs2bmT5YsWs/a/1SQ0SODyKVNo36kj4H0rrjp80cpz1trasHk7pwzLrUYNr5Gw+UOWEF+9Cfq6MDWUOT7Z7+ar32d1aOIWoEx95mmuuehiSoqL2b9nL7NnfE9UdDTvvPIqu7bvsCo7/eNPGTthPC+98xbRMeqG60tWXHX4y5AFWVFhWtaFuPbXc4eo1acIRw334M/fqSZuAUq/QQO56a47eeullwF45M67qyz/+5xfOJWdzac/zCA8IgKwfzP0F8EzUhNR8JQgxrdsYVrO2Zfu1DG1FbW6GIPmzzdADfsEwneqiVsAc+nVV/L5e++Sl2c9hDsyKoohI4bTb+BAVi1bxp+/zQVgxZKl3Db5Wt6f/iWhDnImunKz9DchNOKpLC2WE8Rm26TxqqoNrlJXg6oD4QaoYcZd36dt36a33MEiQKdKA1Ti5F/+XVh9wQDC9ge6ctU6ptxwD0eOHqNZ01Quu3QCF954B4lJSaYyH7z5P15+6mnT+rgLzufNTz4iyMUMHFXhr0JnSW2FTl+h56crrqW8uASA8Z++S2RiA6syNRU1zUILDOq6z82d36mzATspnaeslVL2cduJHaBZbn5OdT/OAf17sX3TIqSU1vklLTqvb777Lgry83n3VTWhw9zZP1NaUsLTr71Cw8aOBxi7Ql0NHvcktbXodEE6Elq3JHOr6vPM3rOPyMQGPm2laYJWt9RFUIknvlNPjimsKZq41SGWP6ra/IBr8uO0lzjZWM9xkcC9j04lPzePLz/6GIC/5v3OiiVLuGfqVK664TqCg933Uwk0oQPHYmdb7vSA/vxuEDd27GbctZNrdP76GO2oUXM89Z36oqgZ0dyStSDQbgIZMo6nH3qErz62njqvU9euPPvGq/To41lPgr8KnSvs2bCJaRdfAUBQSDBv/PMHCQ1TnDpWE7T6gbssN09+p7URtbpyS1bO+1NPaShzXH4FGo3Fad5/+WG++eVnWrdra9q+bfNmLhkzjvm//FrF0bVnUHKq6RWotOnRjXa91bi4irJy/vr6u2qP8cQ1CfTfcn3G09+pL1trltQ7y037IztHaWkpz737Le+88hrFRUUABAcH8/GMbxk6aqSXW1czfMUyXP3HAt66/R4AEhs34o1Ff9p1G7tL0LTfvP/hqvVWF9+xu0Striy3eiNu2h+8ZqQfOMT5E69l9579AHTr2pEVi6u24Hwxy4KreFIIK8rLubnPYIoL1BCNVxfMpWGL5qb9tRU17bfu/zj7H6qr79qd1poWLekGQqjQ/ui1JK1FM36e+RmdewwHYO++A9UeY3vN/VHsbAXGnWIXFBxMh3592PCPmppw5+q1NGzRvMaipv3G6xeBMrOCpwlocdNwDy2aNyUoKIiKigoKCgqrnWXAFndFiXoTd4rdoORUfkxKZoNhvXV0fI2ETRM11/DEb68234Evuh6N+LOoGdHETaNahBAkJMSRlZUNwLYdu+nZvWZjsyyHH/gzzgxnqEqwDqWnm5ZbtExz+fyasFVNXf2+/P13bI9AEDbQxE3DSZo1TTWJ27BRE7l+ymXcc+cNNG1ac1daoNwYamJ1HUw3u3ebpaW5dKwmbNYEyu9Iw71oQwE0nOKh+29DZ5gxury8nA8+ns6Zoy4iI+N4jeusr2HoBfn5nMzMBCA0NJSGjRs5fWx9vF6WHBcJlV71hfr0Wd2BJm4aTnHeuLP4eeZndO3S0bTt+PFMrr3pPnJOna5V3fXthn0q2/x5E5OT3JrDMxCpj0LmCO0aOI8mbhpOM3L4YFYs/oUXnn3EtG3xkpWcMeQ8Dh1yPsBCr9ezbPlqDhw8bNpWn6y40rJS03JoWLjTx9WX6wOaoGnUHq3PTcMlhBDcceu1HDx4hPc/+gqAQ4ePctGkG7jrjuuJjookPDycrp3bk5pa2d2WnXOKu+59nJ9+/h2A/n178vCDt3P2qKFAYPXFOaKstMy0HBoa4tQx9UHYPPm9e2rcojey6RwXCfUyV6SraOKm4TJCCF596Ql69uzKjbc8AMDWbTtNywA6nY4LJ4zlqSfuo2Vac/LzC7j97sf4cZb1APBVq9dzwcXX8d7bL3DNlRcD7r2R+6JQlpWaLbeQEPvz5lkSyMLmj4LmzDk8LXqeFLhAQRM3jRpzxaQL2LlzD6+9+WGlfXq9npmz5/LrvL+45sqLWbt+M2vXbXJY1613PEJubh533HqtW9voi2Pssk+eNC2HhVc9XjAQb2Ce+h58Jb0aeE/0NMxo4qZRK6Y9cT/Dhw1i4T9LOXQ4g+LiYo4cPca69ZsBKCkp5aNPv7E6JiQkhEYNk7nisguZN/9vNm3eDsAjj73AoDP60qtnV4+01VeEbtGCv03LXXp091o7vIG7r7svCZoz2GtvTQVPs96qRhM3jVohhGD40IEMHzrQavt/q9dz30NPm0TOyJOP3suD999qWr/15ms4Z/xVbNm6AyklP/8y32PiZok3hW7hH3+alkeOGeOwXKDduNxxnf1NzJyhNlaeJnCO0cRNwyP069uTRQtmMf+Pf1i6fDXFxcWMO2cUI4cPtiqX2CCBYUPPYIthAs+8vPw6b2tdCt3+vXtJ37sXgIjISPoPGmi3XCDdsPxN1KqaZb02s6a7iuVn1tyZrqOJm4bH0Ol0nDN2JOeMdTxFTlFRMd//+ItpvXdv77rp7ImKOwXvnz/+Mi0PHjaUsPDKQwE0YTPjLlGrSrBqU09dip0jNOvNPpq4aXiVP/76l8xMc4DFxReO82Jr7OPOWQ62bNhgWh40fFiN6/EHanOd3CFq7hI0Z8/hSaFblnm0SutNE7jKaOKm4VVCQ6zHef29cGmVlp4vUBux229wSQK0bd++2rr9EW+KWl0ImrPndrfYVSdwGtZoGUo0vMqY0cMZ0K+Xaf3XeX9VUdo3MWZXceZ18liG6bjGTZtUqsff8Zawzd26xavCZg9PtKmqa+QO93lU6pBa1+EraOKm4VV0Oh333HWDaf2rr2fyzvufk5eXTyDOEp+YaL4BBWUftBI+f6Y2qbKWZR6ttbD5Mv4ocIEgcpq4aXidc8aMNKXfAnho6nM0at6DPmeMYfWaDd5rmAdoYpGSbPee/V5sifvwdt+aP+BuK87TAgdmkXOn0NWlaGp9bhpeR6fTMf3ztxhz3hWs32C+AezYuZdhZ03k7FFDCQsLJb+gkPKyMi6YMJabbrjKiy2uOb16dmXe/IUALF3+H5MumcDqNRvYtWc/xUXFBAcHMWrEkBrPk1eX+IKo+brVZouxve7oj6uqD87dASaWolST/JPesARFILp+jPTq2VUu/ednbzdDw0lyTp3m8ade5q8Fizl8JKPKsjO+fp/zxp1VRy1zH0uX/cfocy83rSclJpB10vomJIRg5IjBXHPlxYwbO5KwsKpTdNU1gRbe7y3cFXBSXZCJt5Ms2wpbVEKbtVLKPp5okyWauGn4JLt272PipBvYu++A3f1XXHYhH733ch23qvaUl5fTq/9oh5/LlsQGCVx6yQSuvmIiXbt08HDr7OPOcX6asFXGHSLnLYEz4kjo7Flsmri5AU3c/Jvy8nLWb9jCgYNH+PjTr1m6fLVp3523X8cLzzxSxdG+y8J/lzHhoino9XoA4uNiGTliMHGxsexLP8i/i5bbPa5Xz65cfcVELp54HvFxsR5toy/ngAwkYTMSCAJnpODokirdkJq4uQFN3BSWT1X+FgVVWlrKxZffxIK/zZ8hNiaalUt/o0XzppXKGz+rr3/OPXvTWbV6PQlxsYwYPphwi9kBDhw8zNffzmL6N7M4dLiyKISHhzHhvNFcc9XFDBnUH53OPXFh/pKtPxDFzUhtRc6ZcXDejszVxM0NaOJWtV/c1wUA4H/vfMLUx180rXfu1J5PPniVbl07WpXz989pD71ezz+LlvPV1zP5de6flJSUViqT1qIZV11xEWPHjKBTh7aEhDg3+akRf5lPLZAFzZZAFzhN3NxAfRc3V6OanBGBkpIS9uw9QHr6QRo1SqF7t04EB1sH3WYcO8HBg4cJDQ0lJiaatBZNK5WxpKKigt/mLSAvv4AxZw8jKbGBad+Fl1zPH3/9q5bPH8unH75GaGioxz6fr5Kdc4offvyFr76ZycZN2+yWCQsLpWuXjvTs3pmePbvSs3sXOnZoY1fwPJ0g2lN9a1Kvp/h0LgBBISEEhYaQe/gIe+b/TV7GMZI6tKXduNGEx8e75fxGFq9bz5m9erq1zuqojcj5ssBp4uYG6rO41Xa6eHtCMP3bWdxz/5MUFRWbtiUnJzLxwnM595xR9OvTg+dfeps33/7YagB2WFgoPbp1ZsL40Vx0/jlWYe4VFRWcf/G1LPxnmansiGGDGH/eaKRez613TjWVffuNZ7l28iSPfDZ/YsOmrUz/eibf//gLOadOV1k2PDyMrl060KtHV84Y0IdxY0eSF+W5YQbuEDUpJT8tX05exjHyjmaQd1S952ccIy/jOBUlJVUeHxQaQqtRw2l11gji05ojhKhROxavW293uysiZxTjwswsSgsKiExKJColheCwUPKPZ5KxbgM5+9LRBekIiYokoWUaSR3aEZmUCHhe4KDuRU4TNzdQX8Wttjd/W6JSh3D8RBZde42goKCw1vUN6NeLnj270jAlifUbtjDn1z+cOu6Hj+9n2MDOtT6/Jf4sdMXFJfw2bwE///I769Zv4cDBw9UeEx0bw/iJF3HJVVfStUcPqxt/RUUF+3bvZuvGTWzZuImd27YhhKBBUhINEhNJTEokJjaWHVu3sXbVKjKPnyC1aVPGTjiP8y+5hP3hOg5s28Hsd94n/9Rp2nTvxjnXX0NcUlKVbSorKWXH6jX89P2PZO/ZR97RDMoKi2p9fQDCE+Jp1KMrjXp0p1GProRXE4izeN16KvILKMs4hi4ykpDURnbF8cxePZF6Pbvn/cnhVaspLy4hPC6WsNhYpF5PQWYWhVknKTqZjb68vNLxIZERVX7GxHZtaH32CFqOGIrQ6QLKitPEzQ3UR3Fzt7AZmT1vFTc98IFp/czB/dm5ex/Hj2faLd8ktRFJSQ04kXmSjIzjbmnDsc2fui14whZ/FjkjWSez2bBxK+vXb2b9xq2sW7/ZbkCKkQ6dO9OxS2d0QUHs37OH7Vu2UlRY84eX8KhISoqKkYYoUIDI2BjG33wDLbt2pqKsnMwjR8g6ctTqlXP8hEvnCYmKIigkmIrSUipKSwkOD6dhty4kdWjHgSXLyd691/6BQpDQKo3GPbvTqGc3ktq3RWdwly9au46KU6cp2ryNvCUroKICgLBWaTSYdCHCUE5WVHB63l+UHs2g3MFv3520Oms4/W67EQgcK04TNzdQ38TNU8IG8PPvq7jxfiVuE84bzbdfvUtFRQWLlqxkzi9/sHjpSnbt3kdkZATXTbmMZ5960NTPlpl1knnzFzJr9lz+XbSCCsONw5Lk5ETWrPid3Nw8Zn77IXMXrGXNBvNNamDf9sz+/KEau5icJRBEzpLMrJP8s/EA61evYc6PMzmwb5+3m+QUweHhxKQ2Iia1MdGN1XtMaiNiGjciLDbG4XFSSo5v2sK+Bf9wbMNmSquY/FaEhBAUH4cuKpKK7BwqcvPslgvv3IGYwQMQYWHkL1tF4doNLn2W0OgoIpOSCI2OUhZdZiZSL9GFhNCwaycadutCUGgoRdk5ZO3cTdb2HejLzf+R6EYNiW2aSlhcHBOvmES3IYNcOr8RXxE4TdzcQH0SN08KG8BfizZyxa1vAjBySFe+++BewFoMTmbnEBsTXWXEXmbWSf5dtIKjGcc4ceIkx09kEh8Xy43XX0mTqCNWZY9nnubgkUyklPTs0pKQkLrLFhcIImcbNCKlZPXyFfww/WvmzfmF4qLKbrGGjRvRuVt3OnfvRuduXQkNCyM7K4vsrJNkZWVyOucUTZo1pe8ZZ5CVEM3WFatYPOtn0rduo9AgDinNmzHskgtZOGMmWYePVDqHLUIniEpJIbVPT1L79iKuWVPCE+Jr/SCjr9CTs28/x9ZvJGP9Jk7u3G1lVbqLoIR44s8bQ8cmTSjJzQWE6ltLTiQyKZFgmwlpK8rKKcrOITw+lmA72WdKcvP4792POLJqjd3z9bn5Wu66754at9fbbkpN3NxAfRE3TwsbwPLVOzh/8ksADOjdjl++sh5AXRsxqIv21xR/FrmqIiJzT+eycskS8nJzKS0tpVFqKl26dyO5YUOn6rYNHJFSknvyJMUFhSQ3a4pOp6OkqIhlP//KtlWryTl2HKHTURIdSVRKstUrMrGByT3oSf5dvpKS9AOU7N1Pyd50KmyCcURYGCGNUghv24qofr3J+Xkuxdt2Oqwvsmc3RFgY0YP6ExQV6dZoyrKiYla+8S5H/qsscEKn4+onHmHk5ZfW6AHA2xacJm5uQBM39/HbX2u49u53ARh1Zje+fd/85OgOAdAEzv344hg2b41Xs418lFKiLyxCn5dHRX4BuogIQho3RFj06UopKdq0laJtOyjPzkGWlaOLiCC0cUOizxxIcHycVZ2eGCpQfDqXYxs2k3c0gwOLlpJ/zNx/3ax9W7oOGUzjli1IapJKSvNmpDSrnNjAFlcmPPWEwNWVuGmzAgQAUalDPC4OB49kmZabNzFHv7nrxm+sxxdFrrp0QhrOM65zlzoXOHsh/UIIgqIiCYqKxJETXQhBZPcuRHZ3LpDDE2PhwuNiSRuq+tjajBnF4mdeImdfOgCHdu7m0M7dVuU79u/LHW+9RkwD9zzYGB+QvJ3VpCZUG3omhJgohJglhDgghCgSQuwUQrwghIixKJMmhJAOXvE29Q0TQuwQQuQKIT4UQoQ6qGeEnbYsFUL8W7uPrFETDh42R4Y1b5oMeMai8dWJEn1RdKvDkzckV57+NdxDREI8I1+YxjnXTyHUph/PyPZVq3n7rvs5lZlld39Nqc1ktN7Cmbjq+4EKYCowBngfuAX4Swhhe/wLwBk2L1MIkhAiCvgB+Bi4AOgJ3OXgvM85/Sk0PM62XeYxVM1SkzwuQJrAabgDRwOx/ZXgsFAue+he3l6+kLvee5Pzb7uJQeefR+vu3Uxltq/8j7vPPIv373uYE4eqH/voCrUVuboUSGfckudJKS0HdCwSQmQDXwLDgIUW+/ZJKVdWUVdH4JCU8jUAIcQzwI3AKzbl/gTOFkKcJ6X81Yk21ns86ZrcvS+DlWt3AaDTCc48+zKPnMeWunC3uoq/uSgbyhy/e+J2F4EmbJZExsTQ56yR9DlrpGnbT2+/z+y33gOgoryc5b/MZfX8v7j3o3foMugMt56/Ju7Kuv4dVmu52QibEePcI01cPN9BoI3BNZkIXAnsslNuJrAOeFZ4emCTRpWczi3k2rvfMa2PPmsYqamNvNgi7+NrgqtRGW8Jm6fPW9VA7gtuv5nb3nyF9n16mbaVlZby1dPP46nAQWcEy1suzZqmexhqeN9us/0FIUS5EOK0EOIXIURXy51SyhPAY8BfQBbQCnjeTv3SUK4bcGkN26jhBp5+7Qd27lWRcaGhITz8wO11en5ftZI0gdPwNYQQDBg3hse++5Jrn33StD1jXzqPT7iE9K3bPNJXWpV4edNr4LK4CSGaAE8DC6SUxkEYJcCHwE3AcFQ/XVdguRDCam4SKeXbQArQFugvpTxp7zxSyt+BpcDTQginozqFEDcKIdYIIdZkZWW79uH8HE8IweJV5gz0b7/5HH16d3f7OfwVfxE4f4x0qw2B7I50lqETLyAu2RzVfGD7Dh4//1J+/PobuxmC3IGlyPlCAIpL4iaEiAbmAOXAFON2KWWGlPJmKeVPUsolUsqPgTNRFtijtvVIKXOklHuklNWlC5iKEsHJzrZRSvmRlLKPlLJPUlKD6g+oR+TmFTLrtxW8+t4cvvrhXzJP5lZZ/uCRLA4fNT97nH/eaE830S6+ar2B/wicJ/DFiElN2BS6oCDu//hdGrZobrX9odvv5Lwzh3v03N4WNSNOi5sQIhz4BeVKHC2lrDIMR0p5CGV59a1p46SUS4D5wBNCiMp5ajScIvtUPs//bxbdR9zHLQ99xMvv/sz9075k4LmPMHfBWrvHVFToeeiZr6ioUM8fg87oS3R0VF0222/wB4GrD9abrwibp9rhauLktM6deHXBXB779gtCQk0jrtixdSuXjj23Vkmy/QGn3H1CiBBgFtAPGCWl3Oxk/QJlvdWGR4E1wM21rKdeYBlhKKXk7U/n8caHv1FQWFyp7OncQm68731mf/EQ/Xq2tdr39Os/8PcS89f8+KN3e7Td1eGLkZOW1Pc55jR8l/Z9e/P83J944KxzTdtWr1jBkw88xMvvvu3FlnkWZwZx64BvgJHAhGpC/S2Paw4MAlbVpoFSynUoYZ0KaKaDC6zfvJ9n35hpJWxtWzVmyqQRNG6oXAdl5RU8/OzXVtFUsxdl8v4X5jnW7r3rRoYM6l93Da+H1IVwB7L15itWW12xc/VaPrj/ER4bfzEfPDCVVb//QXEVllijtBY8+s3nDBg82LTtp+9mcOyoe2ZM90WccUu+C1wMvAoUCCEGWLyaAgghXhNCvCGEuEQIMVwIcTOwBNBjPxrSVR4HEoEebqgr4DFaAbZZ9K+9bARL5jzLS49fxa/TpxIRrlwVW3Yc5OnXfuRE1mlyRTseeOhp0zHnjTuLaU/cX3eNr4JAt2582TJ1J7WZl8we9U3YfnrrPZ69fDLL5vzGge07WPbzr7xz5/3cO2wMf339HeVlZXaP69CvD9/+NocefXoDoNfrWb/a/swDgYAz4jbW8P4osMLmdb1h31ZgMCpi8i/gKWAZKhrScVptJ5FS7gCm17ae+kbXjs25ZPxA03p+QbFpss/mTZI4o0970753P/+dLkPvpk2nQeQa5sBq26Yln3zwqscmCNWoTH0ROHdRX4TN+EBQXlbGH19+bbdMXk4OX017nkfGXcjaBQsrjW3rERHLgnm/s33LVtO2QE6c78wg7jQppXDwespQ5jMpZV8pZYKUMlhK2UhKebmrwialTDfU+4mdfVMM+4a5Umd95/orRpmWf/trDcUl5qe6IQM62jvExJuvPa0FkXgBTwqcu12Tvhgx6Qt4SnSL8gtM8+YB3PPB25x/+80kpjY2bTu2P503b7mLV6+/hWPpB/jzq2948Zob6JnWmhsvv5KSYtVNERsXx6BhQyudI1DQZgUIcLp1amFaLiwqZc/+DLp0UOHBN111Ni2aJrNhy37+W7+HdZv2UVpWTnBwME88eg/DznRvyh4N5zEKnCdcsUaBc1fI9qDkVJenwDFaIrWdIcAyC78vWHHunBXAnvs2Oj6OhIYp5Bw/AYBOp+Oiu27jvJuv56+vvuWX9z+mME+J36bFy6yCSCwRQvDsG68RFx/vtvb6Gpq4BTBSSu554nOrbcZ+NoDg4CDOPasP556lplYqLinj6LFsUpJiadj27Dptq4Z9/EXkjBZcTUXOSG3EzltC5w5Bc7YfUgjBGeeew7xPvwDg7+9+oMfwMwkNC2PcDVM486LzeeGSqzh04IDd49t36kTfgQMYP3EifQYEdpCYNllpgLJ5xY8MOu9R0zg1UC7K56de4VI9vhTEofVHefb7cOfg25pOZmqJO+d9c6fY1aWY2SNjfzoPnn0eABHR0Xy0foWVezg/L49H77mP33+eg06n44yhZzJq7BhGjD6bxk1cTQfsflrFJ2ozcdeW+ixuI0edY8rkDzBhTF8+ePlmgoJqFhziCyKniZvC09+Fu0TOHQJnxFszeLsDd0eHSim5up15ips92Zl2g77KysoQQhAcXHsHnat9tVX9hupK3DS3ZACyfsMWK2Fr2jiR56deWWNhA8+6x1w5v4bnvwt3uStr6qq0h6VA+IPQuVvQjAxKTuXEsWOm9ajoKIfRzCEhjuYYd4y7Ao58YaolTdwCjCemvcJrb35oWtfpBMt+e96qr602eFvkNMzUR5ED+8LhbcHzlJhB5YjU33762bTcqWs3aoMnB/Z7W+A0cQsgysvLeevdz6y2Tb3rIrcJmyV1KXKa1VY1ltfHlwNP3C1ylrgzMKUm53MHzgyrkFLyw3TzkN8LJl3i0jnqOkuNNwVOE7ca4KuzMR87doIyi+wE7754AxPP9Ww4v2bJ+Ra2DwLu/F78QeSMuGrdedLysqU2YwM3rl3Lru07AIiMiuLcCy+osrwvpFzzlsBp4uYCljcOTz8t14TlK80Z/rt3TuPi8wZWUdq9eErkNKutdnhC7NwtcpbUteB5GncPcv/+K3N2knEXnE90TIzVfl8QM3t4Q+A0cXOSqm6yvmC9lJSU8MS0V0zrXTs0r6K05/CFa6HhGHeKnbsHg0PdC5678WTGlvy8PH6d9ZNp/dKrr/JZMbNHXQucJm5O4Kz14E1rbubseRw6rG4CCXFR3H/rhDo9vy2uWlz2rpdmtXkedzyMeELkLHEkGN4WvbpOPbZ09rcUFhQA0KF9a8b0aV2n53cHdSnGmrhVQ01vsHVtwSxavMK0fNmFQ0ht5F+zkGtC5l3c0Y9seeOqiyf0qsTF3cJXl0LmSAC+mP6Dafmaqy5BCFFXTfJLNHGrAnfccOvKmtu+Y7dp+b3P5xMeGsJDd1yg/QE0nMadD2Setuaqw1cTOtfUctmzN53/Vm8A1Pi1yy49332NMuDK/c4fuh00cbODp6wIT0ZZtmjehHXrzTNnv/7hr3Ro24TzxwZ2/jgN9+MJkQPvCZ03cLf77d9Fy03Lo0YMJjkpscZ1ufuh3RZfET5N3GzwtHvMUwL3wTsv0aljO959/wtOnc4F4KFnptOudSqd2jVz+/k0Ah93/1a9bc15irroR1q6fLVpeaiTs3V4y9XvK0OltNySNtTVD8JTX/7J7By69hzK6Vw15fzAvu35+YuHPXIujfpDXd6sfF38vBGh2OeMsaauh0ULZtGnd3er/b7YZ+3oNxOV0EbLLanhOuHFW/jw5ZuZdPPrAOzal+HlFmkEAnX5NO6seHhaBH0lzF6v15N+4JBpvU2blj4pZr6GJm4W1OUPxpM3iy4dvTPGTSOw8RV3k5HaiKCvCJcz/PL9exQVqdmzkxrEEFKw0cstcg5v/140cQtwsnPykFJqUZMabsEfB+n7ipC5+vBcXl7Blz/8yzOv/2jaNnZkL3c3K2DRxM2LuPvJxvjniYwIRacT6PUSvV7y3hfzuW3KWLedR0PD20/lvk5tvUDFJWVcffv/+Hf5VtO2BvHRPODl5Ayu4s3fSc0n+AowvBlZ5G6ioyK49rKRpvVpr/7A5LveZtGKrQRyAJFG3VJwdInW94P5Oli+assXMxZaCVvL5inM/PQBGqX4drCNL6FZbgHKtAcuZdW6XWzefhCAeQvWMW/BOnp0TuPum85jzPAeDic51NBwBX90VdaGuhD0v5eax6xeMn4grzx5jUemrqoLvGW9aXc3H8ATgypDQoKZ9sCkSn+IDVvTmXzn2wy74Alm/raC8vKKWp9bQwMCz5KzZ5HV1ecrKCw2LV92wRC/FTZvolluAczg/h3ZuPB11m3ex5//buDbn5ZQXKLme9ux5wi3PvQRL70zmzuuPYdLzx9EWKjr09JraNjii9NBOcJXxTipQaxpOftUvhdb4h68Yb1p4oZv/MBr8+VX1f74uChGDO7KiMFduffm8Xzw5R98PuMf05PhgUOZ3D/tS1774BdunTyGKycOJSoyrEbt0NCwxR0uS1/4f9Y1yRbilnky16Vjj6z93W3taNLbfwPRNHGrR6QkxfHEfZdwx3Xn8Om3f/Px13+Rc1pNoZFxPIfHX/qONz/6lRuvOptrLxtJXGykl1usESg4I3KBKmL2xKY60YiPizItnzptbbm5U7yq48ja390mcHVtvWnpt/CtP1VNvvyatj+/oIgvf/iX97/4gxNZp632xURHcN3lI7nxqrOsXCQaGhr2cafoPPzeCv5YqbKSPDq5NxNHeH/uNneIXFTqkDpLv1Xvxc2XhM2IKwLnjvYXl5Tx3ewlvPPpPA4dPWm1LyI8lKsmDuXWKWP8bo44DQ134w4Byy0oZe2OTEJDdMRHh5EQE0Z8TCjhocHkFpQyb8UBXv1mA8Zb8ydTh9O7Q3Ktz+sOaitwmri5CU3cXKOsrJxZc1fy1idz2bP/mNW+kOAg7r7pXO658TyCg4Pcdk4NDV/EU66/8go9Fz08n4PHnQsS6dMxmQ8fGoZO51sZhmojcimdp2jiVlv8VdzAeYHzRPsrKvTMW7CWNz76jS07DlrtG9C7He+/dCNNGjs/n1RBYQmAFqii4XPUVf+VXi/ZuDuLOYv3M2dJulPHNEuJ5osnRtAgNtyzjashNRU4TdzcQHXi5qvCZqQ6gfN0+6WULFy6mVfencO6zftM2+Njo3jjmSmMG9W72jpm/raC2x7+GIBunVpw383jGT28h5brUsPr1JWwSSm5+aVF/LfthN39DRtEkJNXQmmZnqjwYFKToxg/JI0JZ7YkJtJ3x7dp4uZFqhI3Xxc28J3IsooKPf/7+DdeeW8OFRV60/ZhAzvTq1troiLDiIwIIyoijGZNkujXsw0hIcEUFZfS+6z7ycrOs6pvyIBOfPjKTVqgiobXqMuIw10HT3HpY3863P/vexOIjQqlQi8JDvKfvBq+Lm71ciiAPwgbOA6drev2BwXpuPfm8Qzq15FbHvyQwxkq6OTf5Vut8t8ZiYuNZOSQbqzdtLeSsAEsWbmNyXe+w0+fPUhoaL38CWp4iboUNSMncoqq3J91upi46DCCgzRvhjvxn8cEN+EvwmbEl9rbv1dbFs6axvjRfassdzq3kJ/mruTAoUzTtoduv4BrLxthckf+t343z781y6Pt1dA4svZ3q5c3aNcszrQcEqxj6uRepDWOAaBtszhaNIrxSrtqgz8M7tYem/0ASwvO22IXHxfFJ6/fyrZdh1i7cR9Hj2dTWFRCYVEpeflFrFq7iyPHsq2OGT6oC/fcdC46nY6mqUk8/doPAHz30xKeuv9Sb3wMjQDEW+JVHSkNImnRKIYDx/IoK9fTukkcP704huzcEmIiQ/zKFelP1Ctx87Yw1AZfa3unds3o1K5Zpe1SSrbsOMiCxZvIyy+iccMELrtgiGkGgtumjOHV936msKiUnNMF5JzKJyE+uq6br+Hn+KqQOSIpPpwDx5SLvqxcjxCCxDjfjIL0JHWZoaTeiJuviUOgIoSga8cWdO3YwuH+Fs1S2L7rMABbdx5icP+OddlEDT/Gl0RNSsn/vt/En/8doklyFB3TEuiY1oA2TWNJaxxLSLB6oNPrJbsPmTMANWwQ4a0muwV/cElCPRE3Tdh8i07tmprEbc3GvZq4aTiFt4RNSslHP29je3oOo/o15dxBaQDMX3GQL+ftBCAjq5A12819zI0SI/lm2igaxIaz6+ApcgtKAUiKC/fLPjZ/JODFTRM230JKycIl5okYM0+erqK0hobCmxbbgtWH+WC2igpetP4oyfER9O/ckBVbjjs85tjJQuYtP8CVY9qzert5fFvvjsnaGM86IqB7MvVl/j8PUqBQVlbON7MWM3j8o6aZCADOH9vfi63S8HW8GeVoZNkm61R0039X1lqDWHPGnUaJkVw/3toDsfeImqpmjYW49e2Y4qlmatgQ8JabhvcpLS3nsptfZ8mq7Vbbr71sBH17tPFSqzR8HW+LmpG9h629C8s2HWPv4dP07phickvGRYVy28SutG4axyPvrQTgl8XpdG7ZgNUW7so+fi5u/tLfBpq4adQBM35eaiVsOp1gwuh+PHLnRV5slYav4iuiBioYxGiBWXLzy4tommyO8i0sLgdgaM9UmiRHcSSzAL2UPPfFWlOZ1KQomjfUIoPrioB2S2r4BqvW7zYtjx3Ziw1/v8aHr96sTYaqUQlfEjaAjJMFFJWUm9aN3WVZp4rZsDvLtL1vJ2WRRYQF88nU4bRqUjm13MQRrep1f1tdDgMATdw06oDkRPMfvU1aIxqlJHixNRq+SF31rVXo9ZzKK6GsXF99YeDftUdNy/06pfDU9f2ICrd2eLVtFsedl3Q1rTdKjOSzR4czpH0kUWGCiFDB2V2j6JtgPVeiv+FPLknQ3JIadUDDpHjTcvapyrkmNTQ8iV4vefnr9fyx6hCn80uQEkJDdLRrFq/GprVMoH3zeJLiwomKCOFkbjHHThaybkcmX8zdaarnrH7NGD8kjcHdG7F4/VFO5BTRukkcQ3o0JjTEeo7DuOgw3nr0XLYuXwqo8Z2dzhhUp5+7vqOJm4bHWb56h2m5Q5umXmyJhq9itAo8Yb39s/YI3y/YY7WttEzPln3ZbNmX7eAoaxonRXLOwOYANIgN5/yhrZw6rvPAwa411kfxN6sNnHBLCiEmCiFmCSEOCCGKhBA7hRAvCCEcjkQUQnwohJBCiK/t7BsmhNghhMg1lAu12JdmOE4KIUbYOXapEOJfFz6fhg+w76B5PFBeftUZ0jXqN564iX49f5fVuq1bsTqaJEfx+p2DiAwPcWez/AZ3fCd13d8Gzllu9wMHganAYaAn8BQwXAgxUEpp5bwWQgwErgAqhRgJIaKAH4CXgA3AC8BdwCt2zvsccIaTn0PDh+neOY3d+zIAePndnzmdW8hj904kLLR+3iw0qsbdVtyuQ6dMy3NfG0dqchTZucXsSD/F9vRstqXncCAjj9P5peQXlREfE0ZKQgRpjWM4o2sjhvdqQlhokOMTaPgkzojbeVLKTIv1RUKIbOBLYBiw0LhDCBECfIQSppvs1NUROCSlfM1Q/hngRiqL25/A2UKI86SUvzr5WTR8lMfvuZjlq3dw9FgOAB9O/5Ol/23n75lPmRIqa2jY4g6Rk1JSXFJhWk8x5HVsEBvOwG6NGNitUe0aGeD4ozvSSLV3FhthM7La8N7EZvsDQBDwmoPqDgJtDK7JROBKYJedcjOBdcCzoj7HzgYIjRsm8M1791ht27rzEHvTHacv0tAwUpsbbNbpYvRSAhAeGqRNL+MC7hI2b7gkoeYBJUMN76aRuUKI1sBjwDgpZak9TZJSnhBCPAb8ZTj3GuBWO/VLQ13zgEuBGTVsp4aP0Ll9M5o2TjTN4p3UIIa0ZslebpWGv+CKFXfgWB7zVxwk81QR29NzTNu7tG7gsfYFGv5ssRlxWdyEEE2Ap4EFUso1Frs+AH6SUv5T1fFSyrcNgSaJwD7bPjuLcr8LIZYCTwshZkopy+2V0/AP9h04bhI2gLeeu46QEC1YV8M1qrvpfvDlH0x77Q8qKirfVoaPGEiT3mN9bqC4rxEIwgYuDuIWQkQDc4ByYIrF9iuBvqjgk2qRUuZIKfc4EjYLpgJtgckutPFGIcQaIcSak9namCpfIS42klALMYuP09IQabiXb39azBMvz7ArbJERoVw0bgCgbt6BcgP3dbzlkgQXxE0IEQ78ArQCRkspDxu2RwOvoyIgi4UQ8UKIeEPdIYb1GoXFSSmXAPOBJ4QQYdWVNxzzkZSyj5SyT2IDbd4kXyExIYaLzh1gWv9n2eYqSmtouMaRjJNMff5b03r3zmncf+sERg7pyoQxffnxkwdo1cI6eEQTucoE0vVwyi9kEKdZQD9glJTS8s6UBCQDzxteljQDLgEuAH6uYRsfRfXN3VzD4zV8hD7d2/DdbJWxYf/BE9WU1tBwnsde/I7CohIA2rVK5ecvHiYq0qnnYc1VaSCQhA2cEDchhA74BhiJChZZaVPkGDDczqEzgM2oYQFbatpAKeU6IcQslIvyKKDNbumHSClZu2mvaT0kWBs3pOEeFizeyNwF5uz7rz51jdPCZsSTGVL8AU8ImzddkuCc5fYucDFKpAqEEAMs9h02uCf/tT1ICFEMHJdSVtpXAx5HCWQKsMgN9WnUIXq9nidf/p5vfzLPij6gdzsvtkgjUJBS8sTL5mDqyy4YXKvfVn204gLNYjPiTJ+b8ZM/CqyweV3voXZZIaXcAUyvi3NpuIfy8goqKvScOl3AzQ9+yIfT/zTtGzG4KxefN9CLrdMIFPbsP8ae/Wqm7KjIcJ6475Ja11mf+uIC+XNWa7lJKdNqUnFNjpNSpgN2B21LKadgEaGp4XtIKflu9hJefvdnjh7LQQiBNAygNXLuWX1476UbCdbckhpuoKi4xLQcHhZMbHSE2+oOdCvOk8LmbZckaPO5abiR72Yv4e7HPzel2bIVtimTRvDxa7cQHqbllNRwD+1aNyExQQ0rOZmTz5w/VldzhGsEqhUXiJ/JFk3cNNzG9JmLK20TQtCuVSpvP389Lz52JUFa+iMNNxIeFsLkSeYJRP78d4NHzmMUuUAQO39vv7NoKSI03IbOIuXax6/dwjkje1Ghl5qlpuFRkhPjTMvCfq+G27EnEP7gwqwLYfMFlyRo4qbhJoqKSzmeecq0HhoaTEhIMJqsaXgay2EA3bukea0dvi549cViM6KJm4ZbePHtnzh4JAuAmOgIBvXt4OUWadQHjmScZOkqlb9dCMEFY/t7uUXWWAqKN4WuroTNV6w20PrcNNxAfkExn337t2n9yfsuITYm0ost0qgvTJ+52BS4dOYZnWjcMMHLLXKMtyyn+ihsoFluGm4gKzuXklLzpA0XjhtQRWkNjdqxcu0uZs1dyfZdh/lv/W7T9ksnDPJiq5yjrjOh1DdXpCWauGnUmuZNkqzmaluxZidnDe3u5VZpBCL/LNvCpTdWngu5Y7umTBjd1wstcp7S0nIWLt3MyZw8hg/qjzyyqsryOXklLF5/lIVrj3DsZCE3X9CZ4b3N80NLKalqLue6FDZfs9pAEzcNN6DT6UhOjDWJmzZ3uoaneP2DXyptG9K/I28+e63Pzw/4xMvf8dl3CwFITIjm1+lTicjeYLfsr0vTee7ztZSUVZi2PfzeCr6ddhYN4sJ5+4dN/LHqEJ1bNuDWiV3o0TbJVK6urTVfFDbQ+tw03EBhUQlbdhw0rffq1tqLrdEIZHbtPWpaHti3PUt/eY5Znz1Is9SkKo7yPrl5hXz1ozkt7smcfK69+12Suo6qVPaftUd48uP/rIQNoLRMz+Mf/ccj761k9qL9FBaXs3r7Ca5/7h92HzoFaMJmiSZuGrVmw5b9lJWrP2LbVo1pEK9NRKrhGVq3NM/Jtnz1Tm5+8EOKiku92CLnSD90gvJya7HasecI9zzxOY17jjaJUnpGLo9/uApjcp9GDSK5+YLOhIWodHXb03NYtfW4VT0Vesn+4oaasNmgiZtGrflv/R7Tcv+ebb3YEo1A55arR1utb9lxkDnz//NSa5ynoLDE7vaZv67gwWemI6UkrsMw7ntrOQXFKjiraUoU3z5zFjdd0JlB3RvZPb66+j2FrwsbaH1uGm7AMmKtnyZuGh4ksUFMpW0HDmd6oSWuEREealru2rE5Pbq0ZLrBTfnVD/+ydechsrJzOXAkF4CwkCBevWMgCTFqXrr+nRuycM0Rh/X36trSg633TzTLTaPW7N6fYVqe+sI3HDEElmhouJtZv1nPlRwcHMQl431/CEB0VLhpOSs7j1eeuJqLx5unfVq7cS8HDplF+pWnJtO+hXnM3uj+zWgQa38C1qjIcPp0b+OBVtvHH6w20MRNww20at7QtJxfUMybH8/1Yms0PEnOqXzmL1zPd7OXsHn7gTo//2GbB6dPXr+Vls1T6rwdrpLWLIXICGW9ZRzPIeN4Dv975tpKY0LDQoP537PXMun8wVZ9aHHRYbx25yAS4qJISozlhalXmPalJMUSGlo3Tjh/ETbQ3JIabuClx6+i35iHTOvf/bSEjm2bMnpYd5o0TvRiyzTcxbpN+3jvi/nMX7ie0jLzgP2rJg7ltWmT66wdTVPNv6fLLxzCOSN71dm5a0NwcBC9urZi6X87AFizcS8TxvTj/Zdu5LILBrNq3W6aNm7AiMFdaZRittgsBa5Jbxh98eVIKckrKOaR578B4ERWLhUVeo/PuOFPwgaa5abhBtKapXDLZHNHf2lZOQ8/O52B505l8cptXmyZhqtIKbn5gQ/oMOgOHnpmOnn5RRzJOMm4K5/jlz9WWwkbwPSZizh2IqfO2nf+mH6m5e9mL2XTtvQ6O3dt6dvD7Do09lMLIRh6RmcevO18Lr/wTCths0dwcBAhIcEkxEWRnBgLQEFhsVW/t4ZCEzcNt3D9FaNIMvzZjBQVl3LNHW9rfXB+RMbxHH6at4rsU/l8PmMhrfvfSp/RD1JRoa/yuDnz/2PmbyvYm37Mo+0bMqATZxuy30gpmfr8t5UmxfVV+vUyB1uttogwrglCCM49q49p3dMRo/5mtYEmbhpuollqEgt+eJK7bhjHBWP7ExerEicXFBbzxMszvNw6DWdplBJfaZsjYXvy/kvYvvQtRk96hhvue59bH/qIgedO5ZtZlSetdSfTHpxESLAa9/Xf+t0sXLrZo+cDdXM3vmpKb4vkBpt3HKx1+P54i3Rjv/65ptoHkJrij8IGmrhpuJHURg149O6JfPjqzUx/5y7T9l//XMPseVXn0dPwDXQ6Hb989Ui15c4f24/bpozl0JEsMo6b3ZJSSp773yyP3WgBWqc1YvKk4ab1r+3MAO8u7AmapdC5InjxcVG0b50KqAeGjVv316ptA3q3M7kmM0/msnLtrlrVF2ho4qbhEQb0bsclFqHOtz78ES+/+zMlpWVebJWGMwzo3Y51f73K9VeMIthgIdlSVlbBwqWbefHt2ZX2ZZ3M5UTWaY+28aqLh5mWl/23wyNi6orF4qzYdeucZlres792LtygIB3nne1Z16S/Wm2giZuGB5n24CTaGNIlVVToefW9OQw6dyr/LNvCk6/MoMvQu7nnic/ILyjycks1bGmamsjzU6/g6MZPOLz+Y37/7jGr/XMXrGXSTa87dAnqdJ7Nnt2+dSopSXEAnMotYN7f69xWd23dj5Z1VCV47gjfn2ARYPPbgrWVUnzVBn8WNtDETcODJCbEMPvzh+jd3dzXcPBIFpfe+Brvf/EHJ7JO882sJdw/7SsvtjKwccfNLjQ0mKQGsdUXtMAyI4cnEEJYWS03PfABz77xI3p97Sw4T97Qw1LOsEowHhVhf1C2K/Tr2dYk8lknc9mwNb3WdYLnrsNxUXeTyWripuFRGibH89v0qbzw6JUOy+zY7TitkEbNWbh0M+0G3s4Z4x5h/sL1taor1IXpZCadP7hOZmK/9+bxpj6n8vIK3vpkHp/P+KdGdbnDWquOt9/7nO27DgNqsLZl9GRNCQrS0d+ingOHTtS6zkBBG8St4XGCgnRcd/lIGqXEM+Wudyrtb9K4gRdaFfh8MWMh+QXF5Bcc4+o73mLIgE5cOmEQY0f0JCY6wqW6QkLs970N7tcBKUEiaRAfw+RJwxnSv6M7ml8tyYmx/Dp9Krc+9BHrNu8DYMbPS7nu8pFO11EXrjcpJV99/SNPPv2qadvUh++mVffzKDi6pNb1WyZKsM3gUhP83R1pRBM3jTrjnJG9eOTOC/ln2RaryK6xI3p6sVWBS0S4tdtrycptLFm5DZ1O0KpFQzq1a0bHtk3p1L4pndo1o1lqIjqdfWfOgsWbKm1785kpXH7hmR5pu7O0atGQGR/eS7uBtwOwbechSkvLnerP8vRNPDPrJN98N5svvvqe3XvMkZE9unfmrtuvs2pDbUSumUXWlh17aucFCRRhA03cNOoQIQT33HQevbu3ZuJ1rwAQEx3BBecMqOZIjZrw6D0Tmff3WkpKrbOK6PWSPfuPsWf/MX75Y7Vpe3RUOB3bNqVjOyV2ndo1pVO7pgQHB/HM6z9Wqr9Lh+Ye/wzOEB8XRVqzFNIPnaCsvIKV63Zx5oBODst7+gZeWlrKY0+9zMeffkOpTXRwh/atmTnjY0JCQuy2qSYiZ5n5ZPa8VQwd0JlJFwx2uZ5AEjbQxE3DC3z5vblf5JLxA4mKrH3HukZlmjdJYv3fr/HKu3P4fMbCasvnFxSzesMeVm9wLnuGo2EC3mDUmd345JsFAMxbsNahuHn6Bl5WVsZFk25g4T/LrLbHxkRz7eTLmPrQHURFOe6PrInIde+cRv9ebVm1bjd6veT+aV8yuH9Hqzyc9REtoESjTjmeeYrfLYIbrrl0eBWlNWpLUoNYXnr8Kpb9+jyjh/VwWC7UQZ9aVQQH+Y64jRvV27Q8Z/5/5OVbDy+pi4ARgKlPvGQlbL16duX9d15kz/blPPf0Q1UKmyWutFcIwWdv3k6LZsmAyu26Yu1Ol9odaFYbaOKmUcd8PXOxKTx9QO92dGjTxMstqh+0bdWY6e/exU+fPUi3Ti0q7S8tc33IQFZ2rjua5hb692pLk0YqMOlkTj6DzpvKd7OV9VNXN+5Zs+fy3gdfmNbvv+dmFv/9E1dfMdFpUbPF2SwoyYmxdO1g/l5nz1tFqY07uqpzBCKauGnUGWVl5Xw9c5FpfbJmtdU5g/t35M/vn+CdF24gtZHzY450OkH/Xm25+LwzTNsWLd/qiSbWiODgIB64bYJp/diJU9zzxOd1lrQ759Rp7nvoadP6hPNG89Tj9yGE+wazVyd0/Xqa+94WLN7E+1/Od6q+uqIux7iBJm4adcj/Pp7LkWPZACQ1iGHcWb2rOULDE+h0Oi4ZP5Dlv73ArVPGOHWMXi9ZtW43m7ebByG/8dFvdBt+D+dc8SzZp/I91VynueyCIYSHmQM19HpJYVFpnZz7yWmvkpmphDQ1tSEfvPOiW4XNFnvCdN3lIznzDHNfo3HuOGeODUQ0cdOoEzZvP8DrH/5qWr/9unMICw2p4ggNTxMZEcZT91/KBWP7O33Mjj1HrFJrHTtxijUb9nLhlJc90USXEEJYDWU4e2h32rZq7PHzbtq8nU+/+M60/tpLTxIbG+Px84K1NRcSEszEcWbLukFctN2y9QVN3DTqhKdf/9HU19avZ1tuuupsL7dIw8jTD02iedNkp8vr9bLSrM+xMa4NCvcUzZskmZa72ulb9ASfWQjbmLOHc964s+rkvLZEpQ4hONac6q6opNS0vT6JmhFN3DQ8zrETOVb9M28+M6XSzVHDezRMjuffn57mrWevY8qkESTERVV7zKN3XWS13jqtoaea5xK3XTvWtOzskIbaUFRUzA8zzR6Ju++83qPuyOoY0N/s6v97yRaKw7t4rS3eRrvDaHic3DxzWHZSgxjatPS8q0jDNaKjwpl0wWBeevwqNix8ndenTWbE4C6kNUux6scyUlpWwevTJpvW5/61jqLiuunfqoqeXVqalvcfOG5a3rFzD+dMuIrufUYxetxlLPx3mb3DXebPBYs4nZsHQKuWzRk8sF81R3iWdm1bERuj3JFlZWUcPFh/87Zq4qbhcRqlxJsG/GZl5/HkKzPYZ3HjqajQs2LNTr6fs4yVa3dpc755mYjwUK6cOJQZH97Hf/Nf4sDaD9m1/B1uuHKUqcyr788xZaMHNe2Mp+dwc4YWzZJNfYKHM7IpLinjxJ4FTJx0A4sWr2DP3nSWLl/N+Asn8/5HtZ+NIisr27Tcv18vr1ptAIuWrCQ3TwX3REZG0LZNy2qOCFy0DCUaHic2JpLLzh/MdMMwgPe/+IP3v/iDtq0aM2JQV1at22U1VUdMdARnDe3OuFG9GTG4q5bBxMsIIYiPi2LaA5NYuHQLe9OPUV5eYcoIYqRRSrx3GmhBWGgITRsncvBIFlJKDhw6weYdB9mffsiqnJSS+x96msOHM3h22oM1FqUWLZqalr1tJUkpefrZ103rky6eQHR09S7mQEUTN4064fF7L2brzkOm7O0Au/dlsHtfRqWyeflF/DR3JT/NXUl4WAijh/cgtVEDYqMjuWTCQJqlJlU6RsPzlJaVszfdPHv0vxb9qL27t/aZ6NeWLRpy8EgWAPsOHmftxr2mfUMG9SMvv4ANG1Xb33z7Y9q0bsGUaybV6FyWltGadRs5fiKLhine+X3+t3o9q1ar7D+hoSE8eN+tXmmHr6C5JTXqhPi4KOZ89TBvPD2F0cN6VJrMMihIx8ghXStF7RWXlDFn/mre/+IPXnpnNmMve5b8guK6bLqGgdO5hQ733XPjuXXYkqpp1dwc3LLvwHFO5RaY1q++8mJ++OYDq/K33209y7grNG/WhF49uwJQUlLKB25wddaUJcv+My1fMnE8zZqleq0tvoAmbhp1RlhoCFdcdCbT372LHcve5pv37ubWKWO4/dqx/Pn9k3z3wb2snv8SC2dN475bxtOxbeXUXCeyTnPgcKYXWq/hyO3YrVMLzhravW4bUwWtWliLm6XLUQJNmjTmTsOUM0beeOvjGp1LCME9d95gWv917l81qscd5BoCWwDatE7zWjt8BU3cNLxCRHgoZw3tzlP3X8oT911C145q+hQhBF06NOeh2y9g0c/PWkXkASTERdE6rZEXWqwhhKBju6aVtvfo0tLrgRSWWIrb/gPHrRI8FxYo6/O5aQ/Rr28P0/YPP55e4/ONPmuYafD4jp17rESmLiktMwdi2U6pUx/RxE3DZ1m4dDOPPPe11bYXH7vKbmi6Rt2QlFA584avBfxYWW4Hj9PG4mFo/cYtgEpB9vOPn5u2Hzp8lMOHj9bofFFRkXTp3B5QQR1r12+uUT21JSrSnJzZMoqzvqKJm4ZPsmDxRq6+/S3TRJuxMRF89fadXHCO86miNNxPvJ0B3pERviVuzZskmZIEHD2WQ7vW5r6nVf+tMy3HxcUwbOhA0/p3P8yp8Tn79THPJv/f6vVVlPQcnTu1My1v2Wo/r2R9QhM3DZ/jj382MPnOdygtU8LWtHEif37/JGNG9KzmSA1PUFGh59k3fmT81S/w659rKu1v62OD8kNCgq1mCT+Zk0eQwTW5Y+deck6Zx+NdMekC0/Ivv/1Z43P262f+bc759Q+klDWuq6Z06dzBtLxlm2vzuQUimrhp+BSrN+zh2rvNwta8aTI/f/mwlatJo+6oqNBz+9SPeeuTeaxcu8tuGUsh8QWiUocw4XyzaP2+eB9du5hv/KvXbDAtnzN2JMHBakTUuvWba+yaHDt6OOHhyoLduGmbV6y31q1amNqQkXGcrJO+45qs6+luQBM3DR9CSsnjL35HmSHBclqzFH7+/CGrZLganqOiQs+XP/zDpTe+xvmTX+Si616m99n3M+u3lQ6PiQgP9XqAj2VmfGOC4PHnmhNz/7lgkWlcG8DWbWaRjo+L5cwhZlf3b/OsB6Y7S1xsDO3atjKtz/397xrVUxuCgoLo1NHsmtxaz623asVNCDFRCDFLCHFACFEkhNgphHhBCBFjUaa3EGK+EOKIEKJYCHFMCDFPCHGGnfqGCSF2CCFyhRAfCiFCLfalCSGk4TXCzrFLhRD/1uLzavgw6zbvMw3yDgsN5oeP76NpaqKXW1V/+Gj6Xzww7Sv+WbaF5at3smTldo4ey6nymNRGDeo0CbatkDnKdt+xQ1uuuepiu/vibKajGT/OLIS/1CCUf+26TXTsNpRNm7ebtkVHeScziDGwBWDLVk3cquN+oAKYCowB3gduAf4SQhiPjwf2APcBo4E7DNsWCSFMmUSFEFHAD8DHwAVAT+AuB+d9zrWPouHvHD5qnjV5+OCupDVL8WJr6h8z5iyttkxCXBQzP3nAtJ5+6AQZx6sWQHfh6rQtr7/8FL17dau03XZw8zljzM/RixavcNmd9+wL/+PIUXPmlsaNG3LN1Ze4VIe7sOp3q+dBJc6I23lSykuklN9IKRdJKd8E7gT6A8MApJR/Sylvl1LOMJT5ESVyErjKoq6OwCEp5WtSyr+BZ4Az7ZzzT2CAEOK8Gn8yDb+joNCceSQ+tv7mxPMWoSFBdrcH6XR0aKMG1OecLuCKW98whddXVOitJqH1FDWZjyw8PIxff/qS++6+ie7dOiGEoGePLpw52DritkmTxqSmmvt0x5x7hdMBIRs3b+PPBYtM65GREcz/9RuvpeDSLDcz1YqblNJeOojVhvfKKSTMFAAlgGWK94NAG4NrMhG4ErDXSz0TWAc8K3xpdKiGR8k5bU6TFB0V7sWW1E/6dG9jd3tQsI4de8xJgUtKy9ljkWPyy+//4fs57plCxh61mWgzLi6Gp598gOWLfuHUie0sWTibsLDKQxeuudLswty+Yzcns6u3Rtdv2MKFl1xvWu/VsyvHDm7wanaQjh3MfW579uz3Wjt8gZo6y4ca3rdbbhRC6IQQIUKI5sA7hs2fGPdLKU8AjwF/AVlAK+B5O/VLQ7luwKU1bKOGn2GZiLe1Fh1Z59hLoaXTCUoNYw2r4oFpX7LRYmYHd+HOGaSDg4MdZlJ59GHr3pGjR49brUspKS8vR6/Xs237Lj78eDpjzruCY8dOqHZGRfLZR6+bhhx4i/Awc85WSd0PR7CHNyIloQbiJoRoAjwNLJBS2g56+QEoBQ4AFwHnSCm3WRaQUr4NpABtgf5SypPYQUr5O7AUeFoI4fTsBUKIG4UQa4QQa05meycNjobr6PV6lv9n7iMYO7KXF1tTPxk2sDMNk81ztEVGhKHXqxtk86bJ/PXDk+xf/QFD+nesdGxxSRlT7nqHrOxct7SlqmCRmnBcJJhe9hBCcOaQAab1cROuYsoN97Jk2So+/fw7GrfoQWLjLqS17U/fgedw74PTyM9Xnob4uFhmff+xT8ydVqHXm5aDdN4VWm/jkrgJIaKBOUA5MMVOkQeBfihh2wL8JoToY1tISpkjpdwjpdTb7rNhKkoEJzvbRinlR1LKPlLKPokNKqcK0vBNSssqTEMAQM3pplG36HQ6nrrf7CgpLCoxLV818Ux27j3KZTe/zqGjdp9HOZxxkpvu/4Byi++xJrhL1BwJmiORu/euG02WXXbOKX6Y+Qtjzr2CO+99nLy8AsrLyyu5K1NTG7Jg/vcMGeQbmXMqKszX3ttWpLdxWtyEEOHALyhX4mgp5WHbMlLKfVLK1VLKn4CxwAng2Zo2Tkq5BJgPPCGE8K0cPxpuJTwsxGo8200PfEBFRXXPPhru5sJxAzjzjE6Vtj/35ixuf+RjVq7dRfqhEw6PX7JqO8++ObPG56+tsFVnodkra+SskWfyxSdvkpRY9bEJ8XGMGzuSZ6c9xJrl8+nYoW2t2uxOjJY2QHl5uVcypfgKTombECIEmIWyys6RUlabGVRKWQpsAuz3UjvPo0BT4OZa1qPh4zx854Wm5QWLN/HBV394sTX1EyEEr0+bQoP4aJeO693NPID5vc/ns3n7QZfPXVNhc0XQqjoeYOKF49izfTm//PSFVZmgoCBmzfiYVUvnsn/XSn749kPuufMG4uJ8yzuU2CCe2Bj13Z3OzePAwUo2SL3BmUHcOuAbYCQwQUrpOF2B9XGRQB9gb3Vlq0JKuQ4lrFMBLT48gJl47hncfu1Y0/pr7/9Cbp7jCTI1PEPzJkk8ePsFVts6t2/GqDO7ce1lI+wK37bdh60svl//XF2pTFW4Kmy1FTRLMo4c4YsPPmTmPxs4LhIICQlh5PDB3H+Pep5u1bI5P3zzAWNGD6dL5/Y+PZ1MUFAQfS2m8nn3gy+91xgv44zl9i5wMfAqUCCEGGDxagpgyDTyghDiIiHEUCHE1cC/QGNq4Za04HEgEejhhro0fJhH7ryQtq1UIt78gmKmz1xUzREa7qa0tJygIOuowq07D3Hp+EHcfu05TH/nThITrAWuuLiMUWeaoy237Tzk1LlcDRxxl6AZ0ev1XHPhRJ5+eCrXXDiRVUuXmc4x7Yn7OZq+nk1r/2bM6OFuO6enuWTieNPyex98wVljJ/HjrN+84qL0VqQkgDNRiMZH6UcNL0umAU8Bq4DrgRtR1tURw7brnHFhVoeUcocQYjouBJZo+CchIcHcOnkM9zyh5tr64Ms/ufriYVqASR1x6GgW509+iUNHsirtu+H+903Lvbq25LILhnA6r5BTpws4a2h3undOM+1fuGwLe/Zn0KaKGQNqYq25m/R9+9iz0zzUds+uXfQfPMh8vvgE4mTdZGBxF1dMuoA5v8xn3vyFACxfuYblK9ewa/feSkMeAhlnBnGnSSmFg9dThjKfSSkHSikTpZThUsrWUsrLXRU2KWW6od5P7OybYtg3zJU6NfyPi849g+TEWACOZ56iy9C7ufvxzziRdbqaIzVqQ3FJGZfe8JpdYbNl3eb9fD9nGeNG9ubTN25j0vmD6di2KYP6qvRP5eUVPPfmLIfH+4KwASz6yzrBcaTFhJ+W5/amBeIqQgg+ev8VJl4wzipi8vmX3rZKGh3oaLMCaPgc4WEhPHbPRNN6UXEp3/60hPMnv0hJaVkVR2rUhl//XG2VecQejRuab/KZJ3N5+d2f+eSbBabI1qcfmmTaP+/vdQ7zThYcXeJS2xp6yHr65J13rNYHDBnssKw/CVxCfBxffvY/dm5ZQquW5imJLCdrDXQ0cdPwSS67YAgvPX4VjVLiTdv27D/GwqW19nJrOMD22rZp2YjWaY1Ia5bCJeMHsu+/99m48HV++Ph+0+zb6zbvY+rz3/DkyzMA6NqxBWf0UfkNpZSs3rDH4fkKji4xvZyhocyxetWGkuJivv/qazKOmOdv69K9O42bNKl0Hstz+ZPAATRulMLFF5lT9FomeA50nM78oaFR10yZNILJlw7n/MkvsWKNSgKbnZPv5VYFJnn5Rfy1aKPVtn9+epqwUHNk4I49R7hj6id202x99PVfDOrfgbEjetG3R2vT97Xsvx2MH9232vPbCpwzbsuqBK4qEcrKzOTyc8db9bUB3HnzlXbrtDcI3FOWpCdo2sTc73n4SIYXW1K3aJabhk8jhMAyHaCxL07DPVRU6LnvqS/oOPhOcvOK7JYpKyvnu9lLGHfFc1Xmj3z3s/kADBlgHhLw46/LazScw1WrzhZ71pfxNfXmGyoJG8AZ/Z1P+eZPFlxqqnkyWc1y09DwEU6dLmD9ZnN2887tm3mxNYFFRYWex1/6juk/2h9ucezEKaKjwrnsptfZ4ERS5C4d1HczpH9H2rZqzO59GeQXFPPnoo1MPLfSvMVOYylwNRno/fmXM5g5ex6hISE0apTMgr8rC2aP7p1pmda80vaqRMxfLDhLyy093fXB9f6KJm4aPoter+feJ7+gqLgUgLatGpPaqIGXWxUYFBaVcMkNr/Hf+t0Oyzz92g+UlZU7JWxXTjyTFx69ElA5Ks8Z2Yv/7ZsLwEvvzGb0sB5uGc5RlSVnT/gOHz7K7Xc/Vm29GzZuZe++Aw6nq1mWeZRByamVtvuDwLVtk0ZoaAilpWXsTz/E4cNHadq08mcJNDS3pIbP8uUP//LbX+aJJx66/QKHU5ZouMaiFVurFDaAX/9cw/x/NpjWdTrztbcVqk3bDlh9N1dfMsw0J9+BQ5k89+ZMq0HER9b+bnq5C6MbM/fQIj57/0X6nzGCCRdc5vTxd933RJUDnZdlHrW73dddlGFhYfTuaZ6R/KbbH+b06cCfMUWz3DR8lm9mLTYtXzVxqFOBCRrO0bdHG1IbJXD0mPNWhzEpb8vmKSyc9TQVFRV0HHwnZeUVbNp2gCMZJ2nSOBGAZqlJPHn/JTww7SsAPvtuIVnZeXz06s1krLfOGVqVwDXpPdbhvm9/WsznM/6htLSMkJBgGqckcNbQ7oSHh3LH1EpDZSsx9MwzOHz4KHv3HQDg30XLee3ND01pt+yJlr9acHfefh0rVq0F1OccOupCfpn1Bc2bVzXfdO3wtuiLQM4a3aNLS/nXD096uxkaNWTo+Y+xfbeaAfr7j+5j+KAuXm5RYJGVncsr787ht7/WkHnS+XnY7rz+HB67R81cffENr7LIMMnstAcmccvk0aZyhUUljLr4KfbsNwcxvHz7GZzVr/b9phV6PWfe8guFRaWV9jVLTbQ7LU9IcBBPPXApQ0ZNZMWqtVx26flER0UycOh4duw0p8AdNXII102+jL7jLkan09m12OwJHHhuPJ47eOHlt3n2hf+Z1vv26c7f83/w2NQ4jsStVXziWillpanQ3I3mltTwWXp0MU/+OGf+f15sSWCS1CCWlx6/is3/vsGMD+7l0gmDePC283nivksqlQ0ONt8Ah57R2bQ8/myzNf3ptwus5nKLjAhj9ucPm8a9ATz4zgq++n0nm/fanxMOoLxCz97Dpyksdjxgf0f6KbvCBjicb27dgte44cqz6NDoNLffMoXEBgmEhYWxfNEvDBxgvtcu+HsJl111K3dff6NDN6U/uigfefAOvvjkTYKDlcNu9ZqNLFriVB58v0QTNw2f5aqLh5mWf/79P0pLy73XmABGp9MxYkhX3n7+eu6/dQIXnmOeeFMnBI0bJphEKyI8lH69zPOXXXTuANMsAQePZDHz1xVWdZcfXM79F1nPUP3Gdxu5etrffPdn5T6/rfuyOefeuUyc+gdDb5nD4RP2xzW+9cMmlz7jJSNbU35wud19YWFhzJn1OZdePN5q+28/zebRF553WKc/CtzFF53LVVdcZFoP5Iwlmrhp+Cy9u7WiedNkQLm4tu6sP2HM3qRhcjyhIerpXi8lN151lmnfGX3aWw3sjowI44Yrzftfemc2xSXK4jL2pbVqEkv3tomVzvPjwsqzYf2yZD+ZOWq8XXmFnue/WGu3jdERzk07Ex4axCUjW3P3pO5WbbKNuoyMjOCzj15n45oFjL/YnPrth9f+x/ZVq5m7dQtzt26pVL8/ClznTmZL+tixTC+2xLNoASUaPosQgh6d0zh4WP0Bf/trLT27tqrmKI3aEhSk48wzOrFgsbKOLNNytW9Tua/ppqvP5tNvF5CVnceRY9m8+9nvTOpnLT6v3jGQT3/dzun8Un5foR5S9h/N5ccfF9K5aZipXLvoEqvjVmw5zsqFi4mNsO4XmtCxnNzscNbsL7b7GSaOaM1lZ7WlWcNoQoLtP8MXHF1SafhAm9ZpvPzu2xw+cIB1/61GX1HBu3c/wLCXnyGigX3BchRk4qukJJsfNE5kVp8k21/RLDcNn2bMiJ6m5Y+m/+lS4ENNMM4vVtNZoQOFSeebEwjv3mdO2RQfW3m+4OiocKvJTV//YA5rtp+wKpMUH8FDV/Xi+VsG0Dst3LT9/YXZlFWY+7U6poZx5cA4q2Nnr6kctp4UE8w9YxL5+uZU3ryiITcNjyc+0nw727j1EMUHN7N79Qq2rVhmeoF1dKa9cXOhoaG8/fmnxDRQYypPZ51k+atvoS8vt2u9gX0Lzlett5SUJNPyiROauGloeIULz+lP144qc0RJaTmzfltRzRE1w56gWQpdda9Ao0sHc7aOwkKzNeUoEfJVE4fSMU3dzMvK9Tzw9nJOnra2qowCc82QOKLC1Ji4nAI9r8w9SVaeuT91VBdrAf1zSwEbD9q30IQQJMcGc2aHKIZ1tDiumuGQjoYfGAWpcZMm3PbGSwidukVmbtvBpq+/B/B7gWuYkmxaPn4icN2Smrhp+DQ6nY4pk0aY1m2T+9YWd4lToIhcRYWehUs2c9+TX5i25eabc04uWLyJmx/4gJM51tbUsQ1/8OqdA0mKV1bZqfxSXv56vWm/0WoCSIwO5vzeMab1rUdKePKnTE4XqqCVkCBBu0ahVvX/vbWgynZLKVm2y5zDcmj7yvOy2bbjyNrfOXQ0i/wj5vGUlqH8nQcOYOLdt5vWd/z8G4dWOI7adeSa9DWBi44yX5vCIvsPDYGAJm4aPs/AvuYO8J177Xfgu4qnxMifBa6srJwJ17zIpJtfZ9nqHQ7L/TRvFUMmPMavf6w2bWvSeyypSVE8c6M50vLv1YcpLauwVwVjukUzrke0af1UoZ57vjnOU7MzuXP6MXYdsw7z3360xDSIfNX2yq60Q9nlZOYZIjpDBUMciBsogZNS8vaPm+h79oPMnreKKy+/ggMHDwNmgRuUnMq5N11Hj+FDTceufecjekVGW9U3KDm12j43X5rwtKjYLGgR4eFVlPRvNHHT8HmWrNpuWtbXMulAoFhYnuD3heurTMllmfks62Qu1937Hrc89CGFRWa35YAuDWmSrNyDFXrJoeP2Q/l1QnD5GXFcNzTetK2kXLL7WCkn8ysLYmGpZM3+YrvCduxUOW/+YR7b1q1ZOMFBVfslZ/ywkM9+3YFeSm5+8ENm/76KiRdfRX6+tYU4pGFTbn7lOZKbqkwexQUFvHX7PRQXFjolarb4gsAVWXxfERFhVZT0bzRx0/Bpfv59lSmFE0B4qHMh4LZoolY9v1hYYkYG9m1vyikpJYSFBpOSZA74mPXbSq66/S2rwc5pjc0ux31Hqw4AGtEpikv6xRJkcyfSCejaLIxmDcwB3R8szGZrRgWl5ZLf/jvBoh0FfLgwh0d+PMHx00oQhYCzulQOerFl7obKortt1yGuu/Y69Hq9lXvy7DYdufOd1wkJVa7Sw7v2MO/516rMQ1kV3rbiysrMg+MDOUOVJm4aPs3iFdus1g9nnOTn31c5fbw3RM1fRXS5jSvy+JbP+PmLh1nw41O0aanmBCspLad75xZW0ZRLVm7j7yXmQdWtm5jFb/H66t3IE3rH8N41jXnmomQem5DEK5NS+PyGVB4+N4nHJiTTIEoNAygph793lvPB0lK+W1vGR/+cYvHOQkrL1Q06JAjuHt2AjqlVWyPpWaVsPaKsFyHg+vEdTft++2sN0x5/ALDuf7ti2CiefvUV0/rs73/gl5mzqv1sVeEtkWvVsoUpyfWu3fs5fNg9rn5fQxM3DZ/m9uvOMUVLGnnq1e+rfeLULDXXKCgsISvbOkiktExFMHbp0Jy3n7/etP3vJZt59O6JXH6h+fp+ZTEn3Nn9zbkj//zvEBt2VR9uHh2uo1VKKB1Tw0hNCDG5FaPDddx5dgLh1YzIDQsWPHF+En1aVj+tzrp0c59Tv1YRDG+Sy2Vnm7OuvPreHGZ8/jpgLXCXXn0lE6+43LT+8rSnKSmufUBGXQtcXFwMQ89U8+vp9Xo+/+qHOj1/XaGJm4ZP06pFQxb8+BR/zHjctO3osRwOHLYfwhxooqbX63n2jR+5+/HP2LBlf/UH1JDN2w9YrXds28QqE0nvbq1NOSL1eslPc1dy09Vnm/Zv2LLflMG/U8sEOrVUN+zSMj1Tnl3Imv32Z/l2huycPK4ZEMqANB0hDnL8lpRLjuTYD16xJSzY3B8XGaqWx7YsoH/nhqbtdzz6CSv//gawFrjHX3iOxCQ1Tizj8BG+/Ohjlz6LI+raipty9aWm5b//qdls576OJm4aPo8Qgp5dWzFicFfTtj8M84z56ngzd7Tl4JEsGnW9jrc+mce3Py3hnic+d0PLnMPSUjMy6kzznGBPvjKDnXuOmNaPnThlGmAvhODpG/qRGBeOzuD+enN+NnM35NW4jycsWKDTCRwEXwI4HAtnS/NEs2hvO1KCXkqCdIJr++lo1lBFQhYWlXLNHW9xfPefgFngYmJjueOhB0zHv/vq6+RkZ1d5vmWZRx2m6bKlrkSudy/zf+ngIfe7JX0hcEYTNw2/wSpbyTeLCE0e4MXWeJbd+zI4c8KjVttaNEt2ULr29O3RhoF92xMZEconr99Kt05plcpkZVsHh3zw5Z9W66vWmSMtWzeN49NHh9O6aSwAEvh2RS6fLjrlUsSrMTpSSsn2Y/oqy3Zq4lzkX9tGoSaL7XhuBVsOqf636HAddwyPJMrgAz2ccZJ5f683ZTExCtxlk68hrXVrAPJyc3nvtTecOq+zAgeeF4fmzZoQHq6u1/HjmWSdrFqg/RFN3DT8gqjUIUy56QGSklRKpEOHjzLn1z+rOcq71NR627rzEBOueaHSlC6vPTXZDa2yT1CQjtmfP8Sele85nBQ255R1mPzGbelW629/MtdqvUWjGD54aCg92prTPf2zvZAfVjmXQs0y7F9KyCl0LIqx4RCqL3S435LwEB1DO5jHwc1ak0u5IQVYk4QQq/637bsOWx3bUOYQEhLCA088Zto2/eNPOJRu7dY1Yitorgqcp0QuKCiIjh3Mn3Prtp0eOY830cTNj9i68xCX3PAqYy97hvue+oLjmae93SSPYc/dGBkZwXWTLzOVWbY8MOZ423/wBPMXrqewqISM4zlMuun1SsEdTz84icSEGAc1uAchhNW8bbbYnr+iwtqSWr9lP3kF1oLcIDacDx8eyqB25kCPX9fnm6IVnW8bdGls/3aV1kDHRT1CCalmbJslZ3WJxjDCgT3Hy5i12iy4kcXHTcsb120AVA5KSwtuzPjz6NVPPQSUlpby6rPPOTzXng2beOX6W3j60qv49oVXWHLskNPtBM9ZcV06dzAtb922yyPn8CbarAB+xEvvzOZfw6zHazftY+mq7fw9cxrRUYGbZcCW2FjzDdYTfQV1TW5eIUPPf4zikjLatmpMTFQExzNPWZVp0SyZKycOtV9BHXLBOf1493P7ORkBQkODaTPwXI5vtLaoQ0OCuHl4AodOlnHwpIrAPJlXDjh2I9oO1hZCMLxdMGmJenYc16OXEB0GHRoG0ShWZ3Vc/45JttVVomFcMBP7xZqsyF/W51NWIenfOpL9mWaB1gmVpssYLGOcSaARp3h52v2MGqsCM36dOYvrbruFbj17VjrX9GdeYN8mlY9y97oNdB0yCN1g9RDh7CDw4yLB7bN8d+7UzrS8ZavjjDT+ima5+RHJDWKt1vcfPMFvf67xUms8R1XuvC+++t603LNHZ4flfIXqXJN79h8zzX+2e18G6zbvs9ofEhzEx6/e4hMPMN06pdG3RxuH+3VCOAwY0ekE+cUWA72TQ+2WA2th00vJ+kPlzN5Yytwt5UhgbKdgzu0SwrC2IVbCZu/4qjivZzRdLKbb+X1TAU/NzuTX9eYB3j3aKaG0N5PAGQN6M/5cc8TojC/MyQZAuSBLi4tNwmYkLinRqoyzuNuCC3TLTRM3P+Lum84lItz6prBqfWD9KKsSg+LiEnbvUeHwQgjuuPW6umqWx2jcsOob1hP3XUKPLi2rLFOXvPH0FHQ6+7eN4pIy1m7aZ3dfTkEF2QUq1DEsWNAkobLTSK+XFJdZuzrTT+pZsreCQzmSfSf1zN1SzrdryjiWW3VwiTPohODWkQmVkjQbEQKaCLOL0p7A3X7LFNO2f/78s5K4715vnei7YYvmNGvfzmqbKwLnTiwnLd22fRd6fe2vqS+hiZsf0Sw1iTuvH2e1Letk5bmuApXQ0BBiYlRqJSklp077R59jVYLduGECHdo0sbtvzPAeVrNg+wLtWqfSt3d3h/v37M+wu33vCbOrLy05hCCddf9YTkEF9884zg2fZrDxsDne/2RBZUvwZIFk5voyTuQ5vhk7a73FRQbxxPlJ3DOmAZ1SQ2meGEyP5mEM7xjJ/WMTadogpNJMAkYKji6hf7+eNEiIB+B4xjH27FSBGUbB+ul/71qdr+/oUabsIJa4MlTAXaQkJ5rmdissLGJ/emDNdK+Jm58xengPq/VN2w8E3BOXI3Q6HX169zCtr/pvvePCdUz6gUN8/Ok3pszytlQ1Dq9Ny8aVtjVp1ID/PXud3Ruht0lJcBx00t6BUO+zELfWKZUtpW+Wn+b46Qr0EhbvKed0kRK1ojLrciGGO1aQgB3H9KYoR3s4K3BCCPq0jODRCcm8cElDHhiXxPXDEujRwuwKdiRwJSdW0MdC7PfsVJ6UHhGxzPv0S3attf6N9h1zNvbw1kzeltbblq2BFTGpiZuf0bl9M6IizX+6jOM5/Lfe/gSS/oYzofP9+5o77JevqJzo1xv8Pn8hnXsM5+77n+T8iddWOVDZVuTyC4pZudb6phIUpOODV24mIT7a9nCf4ESWY4s59OSmStu2rVhGepZZpVqlWCe/Li2XrN5nzmAigT2ZynorLjNfy5Htg7m8rxLGMj1sOFLB6gNVZyVxVuCcwZHApVm4NU/s2sysb7+ja9MWfPfiq1bHR8bE0LJLJ9O6cVYBbwkbQJfOZnELtOEAmrj5GUIIOrS1fjqeNXell1pT9wwe1M+0POPHOWQcO1En5y0uLrErWjmnTjPxshutyjljbRlF7qMft1YK+3/4jgvo36utgyO9i5SSfQeOO9xv+9mNgmBMbgwQF2Ft+e3PLKXcxvlwPE+VLzZP0E14MMRFCPo0Nx+/+mBFtf1vnha41oak0gDTnnudB269vdJxALe+8RKDU5p4XdAs0Sw3DZ+iTVojq/VNW9O90xAvMHTIANNA7ry8Ah594kWPn/OlV9+lcYsedO4xnPQD1mOU3nrnU6v1CeNHO13vkSMZ/O+dT6y2NUyO55ZrxtS8sS6yfPUOHn3hGz799m/yC6pPX7V20z5Tmi0jjsbGWQqBJbbPCP/tOlWpTJHBYrMUxbAQJZy9mwcRH2EW0d0nqnfLe1LgbP+PtjRr0YKPvv2aWydeWmU5b+Apy83dwxZqgiZufkibljbitv0A+w/WjQXjbXQ6HXqLwcOz5zged+UOysvLefGVdygtLePAwcM88/ybpn0LFi7h5dfesyp/3903OV33U8++TlGRtaDceMNkEtKG10m+TL1ez+W3vMnHXy/gkee+5vp736v2mM9nLDQtR0WGERYabPo+hIBIQ+oqW2HTWVh0ErNgrdqeRbFNvxpgGpBtOU7cOEY7LFgwpLVZUA/mONfn7CmBi8rb7rDcxzO+5Z/1axh1zli3ndudQSUd2rUxRb/u3XeAggLnsrz4A5q4+SG2AQgVFXquv/ddcvPUD9M2u4evJRW2hyvt62WR9LWsrLyKkrXnyNFjlJaa774//TyPkhKVXePFl9+xKtuwYTLJFmOYqmJ/+kG+nTG70vZrrrqk0jZPfZ8VFXrTtDYAC5duNo25s0dWdi5zfjdnhXnvvkG8dFt/U67IFo1iiAgLtmuxWXorjZabUWyOnq4sTg0MlpmlkWdZR+M4860rt8j1XJXuwPg5UxIiiAiznw/jhkmX293uK0REhNO2jRpqIqVk+w7HM7H7G1qGEj9kYJ/2hAQHUVZu7kzfvP0g19zzBd9Of5f0bbt4/X8fEhUZycsvPGZKkBqVOsQ0PsefueryiSz4W30OKSUzf5rLxAvHVXNUzbB1Q5aWlpGdc5rGjVLIzDpptS8lufrMGEYKCipPARMVFUnDFOfrqK3AlZeXU15uHZBhG6Jvybc/LTGJYa+urejWNonrn//HtL9jinToirQVN6PIHM/Vs8uOW/FQTgUQjN5CtyybZjn1TblejZHTVdF2S5zNYuIMxs+b9v/2zjs8qmrrw++a9EoaAULvRXrvHQUFFXtvn92rXrvX3rtevXbELnYUQUWxgfSO9N4TCJAQQkJ69vfHmUyfZCaZySTDfp9nnuScs8/Ze085v7PXXnutJnFs2u3aFLd/5Tz69e1ZJyLlu6LrKR3ZsnUHYJgm+1ay1KM+oUdu9QTbJ/ZmXSZw841XO5VZuHg5Ldv1p/+Q0/ny6x94/6MveP+jL5yuU9855+wJjBsz3LJ947/uY/Wa9ZWcUX327E132hcZGcHfC5awfcduu/2DB/bx+LpdT+nIqWPtQ2rl55/gl1//cnOG79mwyT4AQOcOzQgLc/28m52Tx7ufWMNqnT0ohRWbD7Fys5FXL8QEp3WNcVuXrexs2mv1ttx22LVJMcdsrbU1S9oKZIhJiDY7KSog17tQlT4dwQH0b161abQuzEO5wtapZF0QOZVocasHuBKkRx+6w84t3h33/ucpnn3hddLTrYtra1PgMg8f4/6nPuWGu9/hnY9/dQq2Wx1MJhMfvf8qHdq3AaCgoJALL72R7KM5Nb62I0eO2KcCiYqKpLCwiAsucZ5b+/et13l17Ruuvcxp3+13P+KzeY9t23c5jTxt+WftRrvtjIPZFBQWO5Vbt2kvk696zuJI0jAxilP7N+e9Gdbzh3WIpmG8e0NQbr7V3GlrRMw54fr7EGKCsnJlWe8GEB9pVbfiUoXt8k5bxxNP8aXAjT0lhm7NnWNltm6RSvuGVlGriwLXtUtwLgfQ4lbHcSdEERERfPvVe3ZpK9zx1LOv0aHrMEaOO5fX3phKzrHcWhO4Z177lg+++JPvZy/lkRe+5IdfnCP5V6ctCQ3i+frzd2lgDqScnnHQyXPRF8TF2o9GUpKT+PSzbzl+3D79y1fT3qZFC9cLmN0xYvggi8m4goyMTH79bW612mrLz7P/oGe/cXTvM9btqDY+zn4d3bHcE/z0+0rL9oYt+7johlcYc96jbNpmHcE+fE1fNu7KZtlGw4nJJHBWH/cZCxxFpGLOTSllcfl3JDFKyM5XFrNkfKR9Bu3V+8ssywRiIyAppnqL3X0lcCYR7hyfzFCb7AcpDSL54eP7CQsLtZsOaKSO1imRO8XWY3LDlmonlK1raHGrw1R1009KTGDW9x8zfOgAj663fMU/PPDwc3TtOYpXXptCVOMhfvfGs71Zgn1Cy5rSvl1rXn35Ccv2tC+/8/kPMyGhgd32wczDZBw46FTO1kzqKVFRkXbBayvYuavyMEhFRUXs25dBSYl754/zzSPLsrIyPvt8ussy408dRbu2rezrNq9hm7toA+MveoI/F6yzO37uqDakJUfz36+si7WHdogm1cWobemmIxbxsJtzM/89mKvIdx4oAtC2oYl9Nl6QKbHWW9WxAsUKm8XbA1qFEurhfJsrfCVw4aFCjxbWAAu9OqZQts+6BtVxvruuCFyL5k0tYe2yso9yMPOwT67rqn+1KZxa3OoonopOk8ap/PTDp/ww/UPuvuNGLr/0PE4fP5oWzd2PIo7mHOPhx17g5f++41Vd3jJ12u/kHrd3nPB1dPtzzp5gGb1lZGSyd5/zHFlNSEiwz8RQUlJCVrbzj/b5l6p2o3dFl87OI++9Lub5wJiTu+vex0lqfAqdug/nqmv/7bLcylX2UUIOZrpeJhIZGUHvXt3t9rVoajhaPPTs5xQVG0Mjk0kY178Zj1zTl8zsAs574FfWbbc605zV237UZitqlrYXW29qFS796S68JFsnCalxQptkE8v3WgWsVZL1VrVkVykVUbcaxgqdG9X8NuYrgYuJsLZlz8E8/lqZzrcffWi5qdvmhYO6IXAmk4kunazBnG1Nk+Xl5ezdm85f8xbxxVczyDnmWaJZd9RmODntLVkH8VZsTCYTY0cPY+xo+/MyDx3hlzl/Me3z71joIlTV1A+/4O47b0JEfO5JWVBYzOvvO69Bm3y6Mco8dOQYmYdzaNmsIe7dECrnSFY2b7z1IcdyrRE+MjMP07JFs2pe0ZmEBvFO+5YtX8OF55/JV9/MtOx75bUpXPd/l9KkcapX1+/SuYPTvmUr1jjtU0oxcfIVLFtuPbZoyUqncgAvv/qu3Xa3rp1dlnv19al8/e1Mu32njuzJgcyjbN1pBPI1mYQ/pz/Ool9/4oF3ljpdo1liKI0TrLcRVyKRmVvOIbP50SRY0tQcyXN+ik+JNXFaCxOz1pdSZDY7xkVAR7OAbT5YxhYb78oR7UM99pKsCl94UbZrFI5gjE637s3hztcMb8oNu7J59PG7LOUq8sKBVeC88ab0VX63kpISprw/jaXLrTEwT5ywPpA+/tQrfPHVDE7p0oE5v/9NclIi//vvk5x9Zu0FGqgueuRWx/DlKKpRagpXXnY+v/w4jX/d7OxduT/9gJ0Jwpd1/7lgnVPSzTuun0hMdCSX3PRfuo74N2POe4weY+6xuCF7y933PcmLr7xtty/RHKHdVziaJcF433r36kZoqPWmXlJS4tb8VxmdOjrnR9uwcQt5efZzekuWrrITNoBxkyaRKYlkSiKLth1m+IRLiUlsxw+zfrUr5/jQA4YTjmN0l5uvHk9SQixvffSLZd/gvh35afp3LoUNoKhUoZRyOVoDKClTzNlsXUvXMslEpDnSSLGLJYoiij+2lJGeYxW+cZ3DOJynmLm2xO5abVJMpDXw7S2spiO4mAgTndOcA0NP/3Mn6Stnu0ybU0EgRnE33HIf9/7nKbt9yUmGyCqlmDL1M9IzDvLnXEOks7KPcumV/+LaG++u1iiuNoO8a3GrQ/jLPGgymbj7jhtd5uFyzMDrizaUl5fzwhv2C5TPOX0AE8b0ZuTkh/n9b6vZLD//BBs3VS8nXVaWvSfjJRedbVmQ6isczZIVfP7l93Ts0NZu34qV/7gsWxmJLsSzvLzcyfT50KPP221fdu01PPS0cVN6/823Gdd/ECuXOAvQyBGD6dO7u9N+V/N6t197Bus27WXqtN8t+0JKcnnxszVu23/4eBmzlh1m1d5SjuQ537gW7Szj6AlDqMJMMKyd9YEg2kUatdJysVseMKh1CCWlRoqb3dnW/QlRwoh2/jE81VTgJvRwDngdHmb97TkKXCDNlDN/tM+aPmxIf/r36wkY38N88yiutLSMRo2sVokvvppB/8GnM3+h64ceV2RnZfHcI4/VuM2eosWtDuHPBdYR4eEuYwCu+WeDz9uwbecBO+86gEvOHc5lt7zm5Go+auQQJp4+1us6ysvLWe3Q9lEjhnjf2CpwZZYEw43e0W06J8d3+eWKiqzvk1KKJctW2bXpiZdeJCIykvdef4OnH3zI5TUiIsJ5943nXM5z7HMxN7n/QDb3PP6xZbmGCMxbXXmeMZPAV6tKWLCzjO//KbFzGNibXc4/6dZ5s2HtQu1iQvZsFmK3MDslRgh3+IpuOFDGrPX2Q7xOjUxc1CeMuEj/zd/UROB6tYy0y/ANcEEf+21bgXOkNgXONjffheefyexZ0wgLM7I2mEwmu9/mN1+8y8UXnm3ZTs84yKTJV9mZ591xLCeHyaPHMfWNN6ss6yu0uNUxKp7kfC10Dz7yvF0YqQqmffEdeel/+7TO4hLnNCQzfl7qlCrl2kvH8v3XUy0/Jm/YvWcfRx3WtTVtWnkA2+oQFhbGoAGeLc7u0eOUKsvMm7+YHn3HEpPYjm69R9tlFLClsNC6Kvkls+NPBZdfdh6N1FG+fP1Fnn34UZfnTz5rPBvWzKVZM9fR5790cUMac96jrFpnzaTtiWObbQSRghLDYWB9Rhn/m1vEjLXW71vrZBOnNLG/3aTEmjinRxh9WoQwrlMo5/UKo0OjEEJtiuXahN40CUzuEcapncMID609xwRvERFuOzXJbt/uw27cQgPMuZOtkX327cuwexD6vxvu4khWtsU5La1xKlPfeYlpH79hMV2WlJRwzfV3OgUAd+TNl15h3549fuiBe6oUNxE5T0Smi8geESkQkS0i8qyIxNmUGSMin4nIDnOZHSLytog4za6LyEgR2SwiuSLyroiE2xxrJSLK/Brt4twFIjK3Bv2tV/hKcF59fSoffPylZfv8cydZ/t+2fRfH85xDQVVQHTNlSpLzmqfPpv/ttO/J+y6m+HD10vW4MrG2atm8Wteqii+nvc3/XnnSpfNHBSLCxRecXeW1/vvae5bIJjt37eXw4SyX5YqKjBQ7jz35Mo89+bLdsfy8E7z2xlQeeNh+ziw1NYW9O5ZzPGsrn330hlvnlunf/8Q302dV2VZviYuA5XtK+XOr/UgrKszIxeZqBJmWYGJIm1A6Nw4hPFRIiBLO7BZGisO6tUZxwsV9wmieWD+ex2MiTNw8xuogsjHdyxAqHuCLcF5nTjrN8ltatGSFXbCHuX8vZuGi5ezdl84Vl51HkyaNADj7zPEsmvcDnTtZ54sfePg57nvwaZdzagfS0/lkyns1bqu3ePJNuRsoAx4AxgNvAzcBv4lIxfk3AsnAU+YyzwJnAktExGKAFpEY4GvgPWAy0Au43U29T3vbmWDFdjTn6uWOwsIi7rr3cTvHgZGDT2HpUqugjBnWjfi46Err91bgGqcm0KxJ1QGEh531IBu2uI+gURktWzSjcaOGdvuqO3dXFSnJSUyaeKpTLElbrrriAnr17FrltdyNLu/69w2MGD7Isp2ecZDp3//s5DADsH7jZidh69ypHYvmzSQ5KdFJ+G2/K/Nmf8QNN99jORYdFc4bz1xLZKTxjBliEto1c22KrYqGsSYW77IftZsExnUKJTrc85FWs0QTl/QL57rB4VzaN4zL+4dxQe8wkmPrh7BV0DnNaorclllMUXHliVUDQWrDZIbZrJOdO996bygrtT6kPPLAHXbnNWuWxm+zv2LIoH6WfW+89SF33P2YZbtCfOf/OZfiYmPk2rVH7cWt9OTbMkkpdYFSappSap5S6lXgNmAAMNJc5mal1ASl1IfmMlOBi4HWgG2Y887APqXUy0qpP4AnAVerX+cAA0VkkotjGgcqblx56X/zxiuPc/mll3LpJZfQrddQ3nnvU0u5Hqe0Ijsnj737DQ/J6KgInnvocrfXra5zSf6JIo47BAZuEO8soNt3HeTyW16rdDGyO0SERx66027ftTfe7ZfkpeXl5QwbdbbbURbA44/c7dG1Xnz2Ye658yYiIuy9KS49oz29OlkfCKZ9+gEzv//C8XQSG8SwdYv9QvjRQ7sx+7O7iS/fUuXDz5OvfGM373mioJj7n/6MQvO+snJFxhHvw381SxB2Ztk/tafECuf2DKNVsut8b1URFS4kx5pIjDbV6vooX5EUG0LjBkbfS8pg/c7sKs4IDEMHWwWqIprNgYOHKLSZ93X1u0pMaMDM7z7irEnWHIZTP/ycjz/9mgMHMnn5qafJzspi3RrrMoN4Fw5U/qJKcVNKuVquXrFoqqmnZczsBdqZTZPJwGWAq8ftb4FVwFNSH7/VbvB3yKvPvv2b+578lO9+XsqM2cvIOGidmD7ztH60bNaQtRsNu7eI8M4LN9CyWUN3l7PDm7bf99SnHMu1v0EmJcTy8+fOjg/7D2Qx9+/FHl/blktsJrcBcnJyndLQ+IKDBw+x38Zc48iokUMscxBVER0dxWMP38WuLUstsTEBFi7fzPmTBlu2/5y/jvIy+0mvLh2a85/bzyUn17pMQET4+PVbiY5yjmvoSMbBbJav2e603zFJ6YlCFz76ZmIjXN8yDhyztrVZgnDz8HAu6Rtul5rmZKRLU+vnsmKzZw9e3q53qym9elgtDstXrOaMs6+gXefBdstRHK0kFURGRvDph//jvHMmWvY9/vR/OePsK3jzpVd45qGHmfb+h5Zji+Y5T0/4i+p+8yrCmbvP0ueijFLqEPAQ8BtwBGgDPOPiXGUu1x2oe+lrvcQ2/5Y/BW5/hrOHV0pyPM8/fDmjhnRl5q/WhdyP3n0B40e7D7xc3Xbu3HOQb2YuctqfmtKArOzjLs6A48fzXO4vLi7mhZfe4ubb/sOXX//gdDwsLMwpfNT073/y+Vqaxo1TK11i4GqtWlU0aBDHaaeOtGzvTT9M+zZNaNncuIkUFpXw/Wx7N+uNW/dx7xOf2O0bM6wbEeGeOeS8/PZMpxQ33jK4XSTtGzn78FfocFgIjOsUVqNwWMFEpyZWcbON6lKX6GljTl+1ej1z59n/fi++8GzS0tw7a4WEhPD2689aHvAyMw9b1q7O/Mb7tZ++wmtxE5GmwBPA70qpFW7KxAGvYgjbDNtjSqnXgVSgPTBAKeXyE1dKzQYWAE+IiMcLWkTkehFZISIr3N1Ma5PajMDfvq29Z9ynb9zOstnPc9m5w3neZt3ZpecO46YrT3M8vUo86cuKf3a63H/OGQN5+HlnM1t4WChDBvd3ec7jT/2Xx59+hY8//Yb/u+Eu5s13HuG1bdPKbvtozjG7CAuekFEez52P/49TJ/8fH8yYZ1kYXYHJZOLOSjJst25VPUeW1cutN5GWzQznj9PH9PbqGpWVr1g0nL5yNqt/m87n31X91HzJIPfzbXGRJuZsOMFFA+N4bHIKIQ53jxATXDcykbG9PLMG1HV8EZIrIdpqki0uqb0FzN7QpHGqxVnE9sGwW9fOPHj/bbz5WtXuD9HRUYwa6bwUJ8YceDw6prpxiKqPV+Jmdg75ASgFnENeGGVCgS8wzJEXKaWcbBxKqaNKqe1Kqao+7QcwRPAqT9uolJqilOqrlOqb7MJrr7aoLFuyPwSvvLycad9ab14jB5/C2OHd2bh1H7N+W8HBQzmAMYJ6+j+XVjqH4Un7ysrK+ezbeXz742K7NDauAqP27taG+Ngodu9zNss89Z9LXCboVErxgUMuuq+/dfbwa9XSOdRWuIcjmQoRm/75l7z76v9YOHced914M0ezs+2OA1x0/pk0d+NW36oa4b7yM+ZzwPyZACQlxJC+cjbn94ukeSPnRcCu6NE+maHN8+xEzPZly/JNhykrr9y3PzxUOL1HLM2TrM+STRJCSYkNIcQExwuNz/nJH7J4/qcsLhvcgNgIITbSxNhTYnjhokYM6WDMrQ7onGJ5aQyOHi+y/D6a9png0TkLD2ew8HDlaw19weWXnGO32P/l5x9hyfxZPHDfbUREVG3yBlw6VL309lv07t+PiedMBqBnX89zHtYUb0ZEkcBMDFPiCKXUfhdlTMDHwFjgDKXUWscy3qCUmi8ivwCPiMinVZ5QB/DnSK2yhZ+/L9/PwuVGtBEROKt/Amecfz+rtthPh3bv0tKj+Rl3VMSg/OL7+dz56EcAvPjmDH77+lHi46KJjnQ2Wa1at5Ob7ptity80NIQpL93IxHF9XdZTXl5OSan9c9FHn3zNheefyfChA9m7N529+9JZvNQ+vmKnju0JD3cR+sKMqzmKv//4w/J/cVERs6Z/xxXXXWt/TgRcf+1lPPzYC07nKzxYEGZDhZNHr26t2bHbyDDw0FMf8OWTp5IYF8GU+0fy4rTV/L36AA1iw3ny+v4czing0fesZuXzR7fl3xd1p6ikjDVbj9CtXRKR4e5/zjszql5g3rNFBIu3F7Av2/q+h4cIB3Kc5+AKihUtksN49xrXgm+LrcD5OkloXSc+2jp+2L7/GNN+3cpl4ztWcob3+CbOpFgCbk88fSw3Xn+F11cYMWwgAI0aNSQz8zBNmqYxfOwYho8dw7GjRzn97LMYPGI4HVIa1bCtnuHRyE1EwoDpQH/gdKXUOjdF38GYI7vI7A3pCx4EmmEsN6izVDZSc1feGyoTNqUUH8yyTn9eeloH/l6d4SRsAFu2Vx4139N2rV6/y/L/rr2HePMDo31lHs53nTqyh1thA8OOP3iQ8/EJky4jsVFnOvcYwWkTL2HtOvtp31EjBzudUzECczf5npRiv2zh9RdeIu+4s0k73+R6ycSxXGPOcMHCZfQZeBrXXH+n3SJsu2vYeC/ec/PZREcZQrwzPZdflxohsRonR/PybUNYOGUys/97BoO6NWbVZutnefGp7Xngqj4cPlrIsBu+5/rn5vLMR6uojMwsq6nW3XRYRKjw5u/Wm2RspIk9We49Wdfu837t1sk0oss8VsrzP9qL+edzfJfyyZfY/taqm1mjV8+uPPPk/fw15xseePIJ3vr0Y8LCwggLCyMlNZXhY0bbxWP1N1XWZB6NTQPGYIzGXK66FZGXgWuBK5VSM3zVQKXUKhGZjmGizAB8F+PIB9TGnFplwgawZH0mm3YbN6WIsBBOG9CcK55w/WyxLyOL/RlZNEureh0aWEc6tk+GudKB736yd3bIyjFu8H8vts/u7I6E+Kpt8PfeeTN//LnAab+rSCsVVGQn98aL7NxLLuazqR9YtrMOH+b7r77m8mv/z67cqmXOmRUAcnOPU1RUxLU33s2+/Rls3rKDxIQGvPyC6+ghFbRukcoV49vzzvdGGLGXPlvD4G6NSYo30gKFh1nna3JPWPvcu6Mxp3XO/dbvxbK1+9i42P37smGr1STszjo5f6tVAGMjTUSHC3mFrssCtEn1PrLMyULOiTKemXWEo/n2D3sHjpyo1nq3hYczGNKw6lFydRnQrxcmk4ny8nLWrd9Mbu5x4uO9n9a5/V+GxePaW2/xdRO9xpOR25vA+cBLQL6IDLR5NQMQkfuAO4EPgW0OZdq6v7THPIyxSLynD67lE7wdqbm7RlVUJWwAH/xoHb2cPaI1c1dlVBo6adM2J4uyy/a4E4j3Pvic/BP2d70mqYkczyvgu5/dB1JNTLDOJdmaRt0tRB86pD+PPniny2PuKIlN9do9un1HZzPRahshKy8v57XnXmDOjz9Z9vUdNNDyf27ucT757Fv27bfOjbzz3qdkHnLIaebQz/SVszlzWCvL9rH8YmbM24UjGxcv5HCm9VpHdm1h3px5diKVmev+hplfVM6eI66Fz5Uls3NaOM9fmMqhSq55/8Rk+raOcnv8ZOfLxcc4ctz1+zflhw1M+XQO2eYHQl88INd0SUB8fJzFI1gpxR43OQXrE56IW8XM54PAYofXtQ5lrnFR5uGaNlIptRmoE3NuvhA1X/LPtiOs2GSYrEJDhCtO78jKza6WHVopLnG/jskdtj+ev+fbD97Dw0K59NxhfPfzEk4UVGKqKrPeYBsmexYF4967b2bub99y5eXnexSDcvVy16MrdxQWFHD1ec6rTSoiKgA8fOfdvPacNSp/9969aNykiWW7IDSW516xj/8IUF5mvbm5ErafFu7hggfto7Kn79rNxsUL7V5gdeYAKC1TTPnTfo7FVZqVCtbsKXQ7Kzi8Y7RdLMf2jcO5c0Llo/obRiXQrXnNk87WB9NkdeYIS8sUS3a499j9YNZmHnruC25/8H2nY7a/s9pwJLGlkc1atkOH6//caJVmSaVUKw/KjPRFY5RSuwGXMwJKqatx46EZrHg2arOmrBk/sAU529awO73ySAjvTPmG08f0tvOY9Eaw4+LsvflSkuOIiY7k02/m2e0PCzVRUmq9KR8/YRWMytbYOdKvb0/69e3JLTdezRXX3MrmLe7zv/3282zufth1lHxXPHH/Ayxf7LzEoFnLFgD8/ceffPHRx5b9/QcPZvJFF/LA7f+27Ms9doyDGfaLvNu1bUVjc2zH/Iz5FBeXsm3XAZo0SqRgx3zemr6e936wN+GGmmBYR+d5vRPF5ey1mft6ebbz53tGT9cmpOy8Mr5b4T7v1pm945jQI47lOwtolhRGjxYRmET4e7Pz2sOIUOGFi1JJidM5jisj50QZFbHDI8OEwhLXjxb7D3i37s3fpsn8fGvghajImj+8BBr9LfUS2wy6/sQTYft50R7+tklJMqxZARBmSQbpjqUbMvn4nfe46iZrRPqq+mU75zZ82EDm/G4VsoyDR7nwhpct0U8q6N0ygqXmJ9ioiBAKioxffOf2Tenc3nv3+VO6dOC32V/Re8BpbkNhbdu0mX2799C8Vcsqr7dt82a+/PgTl8cmnHUmAD98/Y1l39gJ47n3sUc4c+QYi0v3oGFDuWD8UN599X925+/es5+HHn2Bvp2i2X8gm1femWnJijC2XzN+X241DcdGCD1bRjK6Swyp8c4/yYLi8ioj9BflH2fpJntBSkiI47VfszlWYDxgmMR+vq1VShjJsUZ9k3rZi2NJmXOFd4xP0sLmAQ2iQyzZuN0JG8C/r5/o9lggsI3C427ZS33i5I6NU008DVzsyXVcUZWw7UzP5aon/+BBm+zIA9tF0SzJMNuN7hJD29TKRe7lz9ewbaF92hN3mYEd3YyvuOw8IiPsTYQr1tiPpiLDhI5NrKayxDjrHFufts7OJJ6+j0mJCTx4322Vlln2y/c0UkdJLc9m99I/2LbgV7v1dwUnTvDA7Xdw2kDX+d+69epJj97G4uiCAqt5aezpp/PRf1+k0LyvdavmfPbeiwwc0JvJZ423u0ZpaSmvvv4el93yGvc/9alduh9bYevaLIL/XtaYm8Yk0dEmmoUtybGhXDQwnqhKgg/vyS6n3NxHpRS5ZZE8PfOInbD1bGH/NH5uP/cOAyM7RTO0QxShJmOJwAsXpfrEFHkyEBYiJMdVHk9z4ri+nDXeOXiB7W/NcZTmz1FbcXExh8xzxCaTiSZNXGeUqE/oxzAf4Hhj9mRkVx1hKygq5avft/P2d+vtoh2kxIVw1TBrQNLTe8RSXg47DhnmqKhwoaDY/gkyM7uA937YyO2RYeyjLQcyjzJ2eHdwGMG5Wj9TmLmUwqLKgx0Xlijmb7GaORLiIiwBebOOFZK+crbTQlZPR8X9+1du0vzw46+YdPo4HnrsBb797kcAXnzuYW6+4UoAPv1+utOIrWuPHqz/x8ikPe50o12N1FF6dmzJL+Yyh3dssFt68MqLj1li7r32ypOsWLnWzqmkKpolhXLruCSiw6t+xpzUK45xXWP4e/MJ0o+W8vuGfLvjM9eVEhsBzRNMHCtUZByzmoDjIk3cemoSaQmhlP51lGMF5UzuE0fvVu4dQuKiQrhpTBI3jfG4O0HL0k1HvJ4fTIg2uXUoiY0O444bJnI0J4/cvALSSv4ioeWoGrWxpuvcMg5kWh4AGzduWKsu+/6i/vegDlKV2FVH2PILSrjiiT/YmW6dPwkNMTGkfSQXDIgnLtL6pKgU/GZz85vcJ451+4tY57Au6fM522idFs+j730NQHJiLN99eB+dcS8y+RnzufdJ16Y8R3YdtgpgnMnqXbl1bw5AtQWuU4e2hISEUFbm+uaxcdNWOnW3TzYx7YvvLOLmGMuyT+/utG/XyiJuHdISLDeLtCbWBaeHDmdRVGR9D6OirCOZ5KREvvj0LSaceSnHj9sLT4/2yQzu1pgThaXMW51Bk+RoujUsYkj7aEJDPI/BGBlm4tRuxnxnu0bhfL7oGLk2jiZ5RbAp0971vFVKmJ058b6Jdd+Jo76jlHK58L2C0tJyxpz3mGW7dYtUliz8jdhY98tj/DlqA+weypo1bVJJSc9opI76JKhzTdBmyVrAEzNmVabIWQt22wlbxxYJfP7EWK4flWgXvw5gfXoRWXnGjT8u0rghtkpx9jQsLinny9+sUeKzjuZx0Q2vkJdf4LKd+RnzOVFQxOw/Kl8w7ArbOISNkq1OE479zjmWzxuvPM4nU14gd5+9g0oFERERtGvrPpCxK7Zs3WERtQYN7D0133j1aXJyrO9tYoL1uO08RGJiAwYNtIYPmmfOZnA05xjzFy5lz979vPTI5cTH2Y+IrpjQkevPPoV/X9SD75+fwL+GhTKiU4xXwubIsI7RvHpZI/4zKZlezUKIdOFIOqZLDI9ObqjnyWqZI3ll5Be5n2srdFjntmvvIf5Z69n6UH+xf7/1e+4LcasL6G99HaAqYVu49gCvfWWNZNa/Sypv3D2MsNAQNrpYsjZvs9UcOKRDFGEhQuuGrl3FB5ySalkADnAg8ygffPEnt117ht0oqkLs3vvsN4qKvVtKEGrCLlllmzR7cbEdwd3xyIf89LsRUutwVi43Xun6+euU9ils2eqcvsUdBQWFfDfjZ668/AIG2whUTEw0nTq2tZuTM5lz8GYeOsJHn35t2d+jWxdEhE8++xaA+XN/59WQbB554UtLfE2TSQgNsX/YCLNZjF3h2u8LIsJMdG0WSf7xUAa3CSHjmCI+LprwUGO+s0mCXmQdCNytKayMLl3cZ3mvipqH3rJ/iGsWBM4koEduAacyYTt+opinP1rJv16ab3naaxATzqP/14+wUOOG2WWQvVNEXmE5K3ZanSBGdDJMHUkx1o/adsAQkpfpVO9fC9Zb/nccbTq6+1fQNNH9c9LIztHk2TzJRhU6B1BOXzmb4uJSi7ABvP+F+whuA/tUfTMwiXDfrZMt2x99+CH5GfNJDd9DcqJh3svPP8GGpd8TG2E1my5bsYYNS6dzxsRzLZPsjVMTGNcvjhisi1tXrdvJ8298bxc4urxc2a0j7NQygSHdjHQhvhQ2R0JMwnmDUzm1WywjO8doYfMx3qx3233Ye3HLzHS/NtXfJkkIzpGbFrcA4k7YcvOLeXfGBibe9TPf/mn1QmyUFMUHD40mraF72/yi7SeoWFrWpmEYLZKNm5ytQ4mtOSwu0kQzB2FauHwzr7wz08lp5GhOHnvTjR95ZHgI4WHWr8+dE5K5c3wSFw+M576JyZzf3zo6U0pIz7Zeq2limMsb/SfvTrXb3pd+hBI3C87PGNuHEMecKw6UK0Xf7m0JNT8ILFu9jR27D5KXX0jucesDQGpKA4b062TZfvGVt+k//j42bTOEzGQSXnn8KiIjwujaqQXhYcb7daKg2O46jnRrm8TLtw3BZBK/Clt9JViDKNsuuPeEof07ERERzuEjzstbakPYANIzfC9uvhhR1gQtbtXAVUqR6lzDkaxjhbz21VpOv+NH3vluA7n5Vo+3Eb3S+OTRsbRpWnlkj3mbrCbJEZ2sc1u2P7iiUkPoBOjQOJy+bZy95p57/Xv+8/Sn7Nl/mJm/LmfbzgNsXWxtc0JsBAlRVpEsLlX0aR1Fp7QIZq46zjfLrHNYTRJC7SbYK0Z5jjf8b/60X05QXq7IyHT9A2mYHM/YYd1dHrMt07dnO8ML1MyXMxbw8dd/UWJO2tmmZSMSGsRw3qTBdOvcwuka4WGh/O/paxk7vIflmg/8+1yX9Y0cfAo/vDiBx6/rx3M3D+TDh40HkdoQtvoQ7aO+46kYd2vuXdaNZmkpdO01mlbtB7Bps3eBlX0lILYZOCIqyapRn9Bzbl5iK0qeCpyjR6DjeWXl5Xzy8xamzNjoNNncLDWGW8/vzrj+zSrNwQZw8FgpR/Ot5w9qb4jbwq0n+ODvHKfyA9pF0SA6hL6tI5mx0jkK/rTp85k23TBJRkWE8vkTYy3HMrNP0DIlDDDq+2dvIS2Sw/hmWS6bMortrtM0KdQymkyMMREdYX2m2rh4IScS2nPfm4vJznUO3bX6r58J7ZLqMv/Vsw9exqbt6ezd72zSiYoM541nryMmOsJuDmztxj1s22l9Sr3wLMOsGxkRxldT7uKsK5+zHG+cmsCHr/2LPt3tw6PeeMWp/PzTXyzbaG9eTYkspEWjOFo0sq4f08J28tGnVSQjOkXbzX1XxpczrMHBz7ngWjatnVfrnoYJ8daH5mO5gU/y7Au0uHlBdUdrlZ2XfjiPh99dxuqt9k+FbZrGc83Ezpw2sDmhVZjfKli7r9CyaLdzWjgxESay8kp596+jlDlYSiJChcuHGGvjWqWEERMhlXp4FRSVUlJaTq+OKazecgQFZOZan/bmbznBxJ6xOOrv6C7RxEVa2x8e6izQz72/kOxc1/MUGUcMt3pX76EAU+4ewOT7fqGgyN58ec+l3ekQuY/dS3fzx99rLPtbJ5WyeHmOZfv1qbMY0aaYRknGg8C7d/Xn+7k7iYwIYcKgliSWbCV95Vanup+9eSAPvbOUxeuNOcuBXRtx58U97MpoU2Tw4cmaNxHh1G4xHoubLdVNN+MOT9eO2noQHzvmPlybtwRySYAWNw+oqQnyRGEJq7ceYc3WI2TnGtl4oyNDyS8s5dcl++xuzB1aJHD9WV0Y1acpJneJt9ywzyb+YO9WxhqsUJPgKsVa+8bhliUEIkL/NlH8tcn9j7FxUjRtmzbg1HaK1VuMfbaCmX60lN1HSkiOsY6SUuNDuHJoAiVlyhL6KfNYGTsyi2nbKJzCknI++DuHHYfcT8DPWrCbRklRdGyZaBflpIJGSdFMHtHaKU/WJz9vYdLQVhzIOmH3/rZvnmA3Os47UcKO/bkWcUuMi+CaSZ3dtqeCpPhI3rxnOKu2HCHrWCGj+jQlLNR+RKo5eWkYF0qIyf43EmqCDx8ewytf/OP0MGtLWVmZR3dmT02SngicbXobPXI7SaiOsBUVl7F2exbLNmayYtNh1u/MotRFrD5bQkzCdWd34f8mdfZ4pFZBl0FD2Lh4IWITc3r68uNsTC8mLSGU8FCxzLNVsC+rhPJyZRHQhlWshWqdFsfmpYto3dDqhefYp20Hi+3CDg1oG0VoiBAaIgxoG8Xi7YbzxXcrcrnnjBR+XJ3Hwq3uHTIAVm4+zMrNhwkNES4b34EbJ3clItyoY8n6TLKOFTKoW2OLuJlMQnm54tDRArbvO0bLJnFEhodYBO0/b9lnNOjeLpl+XaoXakhE6NOpodN+LWzBjSejt5gIE53TIli/3zC1n9I0ghtHJ9K1bTL3X9GbCx+a4/bc0tJSn9yZbb2cqxK4Bg1sxO2YFregx1NhKy9XrNuRxfJNh1i+8RBrth2xC49VFS0bx/HUDf3p2tazBKLu6Nsmkj82Gma8whLF6j2FrLaPZUyEWeiOFZTzzbJcJvaKIzpcWL2nkqyUQE72UTKOJvDFYtsIKUKxWTRDTZAaH8rHP1s9vmzn/yb3jWPJ9gIUsGZvETsOFbMt035urjJKyxQf/bSFeasP8Mj/9WVfZh6PTFkGQLtm1tBjCbHhTBjUgmsmdbYk/bxsfAemztzkdM3TBjbnwSv72I24aooWNk0FfVtHWsQNICnWeCjr0CKBkb3TmLvKdai2iAjvHFI8pTKBS/CTWTKQaHFzgyfClnEkn5l/7+KH+bs5mFW5fb198wb065xKyyZxhJiEE4WllJUrurROpFeHhj65wXZrFsH4bjH8si7f5XERGNguknmbjdHSzNV5zFmfzyWDGlQpNJsyirnnS3sHih7NI1i+yxDFTmkRrNtvL5C2c21NE8MY0C6KJebR24yVx4mNdN/n6HDhnH5x7M8uZeehYvZmGabFXRm5XP3kn3Zlt++3BiVuFKs4vc0JDm5YyUHzvhFpitDRify5MZ/SMkXz5DBGdIqmY5Ny9q31Lv+bRgOejd76tIrio/nGd3PzgSK7TAtj+zV3KW6jR7kO5u0r3Amc3Zxbrm/FLVDzblrcXFCZsBWXlDF3VQYL/znArIW73aYiadUkjn6dU+nXJZU+nRpaRhH+RES4fGgC47rFknG0hJIyw4txc0YR4aHCOX3j6ZQWzuLthZYRV2GJculJCdAyJYxjJ8rIOeE8Cu3XOtIufUqDKBMnHBxS2je2fwIdbCNuWw4UcfHABpZtR04UK75YnMt5/eK5ZlgD/tpcwOeLjjmZVx0Z2sE5H5pJhGEdo13mStPUDsG6pq0ykmJDSI4NISuvjLJyyLIJpNyhRQOX5zz20F0eXbuq+bbKsmy4Ejg953YSkL5yNpnZJyguKadZagwiQmFxKVv25PDLkr3MXrSXY/nFdGubZCdsCbHhDO+VRv8ujejXuSGpSbV3I3U0hTVuEErjBsZHO6Ct8xq2iT1j+W5F5V/gtqlh3HpqEn9uyGfmamug4a7NIjitWww5J8p5f16OZf/CbfYiFRdpol9re0FfZCNkjRuEMqRDNFNtrmFLRZLHr5bmkpVXxtXDE+jRPIKvl+WyeFuBXWbp+CgTDeNCGNc1lqEd3Ee61/iek1G0KvBk9NYwLsQS5/XQcatj0/ETzk5UoaGhtGzpfZ5DX6DNkkGIUoo/F6zj8+/ms33rDgqKStl9wLjxJ8RFkBAbzt6DeZZcWRVs2n2UBjHhnNImibNHtGZErzTCw0JcVVHnmNw3jh4tIpm/5YRT6pQK/jMphahwE+f0i6dJQiiHcsto1yicHi0iEBGenOE+XBDAJYPinbw9D9ksHdhxqIQbPjzgeBpgpAtpEB1iidH3+4Z8xnWNoVlSGLeMTeKigWVk5ZXSpEEocVH14z33J5UJTE3XwJ3M4uULbE3ztlGC1u90zqb+4H23kZKcVCvtckQ7lAQRFaL24ps/sGrdTpdlco4XkXPceWFxWkoMZw5vxZlDW9EkxX0orNqgOg4MJhHaNQonv6jcpbi1bxxOlDnHWFiIMLyTcx93VxEctl0j5ygH5/eP55XZWZSYrTPFNibGuEjheKGxHRVm4tLBDXhmpvXGuuNQsSUZa7LZ3KOpGi1O/qWy0Vt5uX3qG9tn33Xb7UNtXXT2UO656ya/tNETbEduOXrkVj9RSvHXgvW8+NYMVq51LWqOiBgejV3bJDFxaCv6dU71eg1aXaRL0wg6NglnywHDmcQkRhbviwdVHuILjDVsFU4ejkzsGUtaonPg3u7NI/nPpBSmLTrG3ixjTjAyTBjVOZpeLSN5Zpbxgz9wrNRO2MAQWY0zWrzqLrPX5rH/qPEbMQk0TwojN7+Y+JhwdmXYC8jIwadUGYHIlzjOu/lrEXcgOanEbeeeTO589EMWLd9itz88zMQ5I9swfmALwsNCaNYwhtjoMPYcPE5BURmtmsQRFVH33qqaup2HhQgPn5VC+tFSCooVjRuEeGzmG9Qumr1Zzj+CZy9ItQRrdkXHJhE8cW4qSinyCsuJCjcRGiKUlikaRJksEVZsiQgVujf3v0OOpn6QkVNOWkLdCYvrbvS2crfVe7hcwR3TMlHTZhAaYqLUIWTQvU9+wiXX3ElISGAsElFRkYSGhlJaWkpRUTGFhUVERvpuSUIgPCbr3h3bD5SXlzN12u88/ep0CgqtLu/hYaFMHtGKayZ2cukA0qpJ1SOY+o6IWMx93jCxVyyxkSZ+W59HYYmia7MIRneJqVTYHOu1FdLQEOG+iSn8sOo4a/cVEhEqNEkIJT4qhLGnxFS6bOBk5WQctWXklNv9rUsi50jjBqEWqwhgcYJyFDaA3OMFPPTYCzz75H+AysWgJp6S7hAREhrEcSTLuPax3OM+FbdAEPTiln+iiKtvf525izZY9oWEmLjygpFcMCDaEnapvhHoxcImEUZ3iWF0F9/NObZMCeO2UwMzoa6pn9SVUZyr0VvPFpFexZf8dc5ci7jVhJxj+SQ08P53mZiYYBG3rKxsGqXW74Dcgf9W+JHy8nIuv+VVO2Hr3KEZv375MLdOSKm3wqbRnMyjNk/3B5rerSJp39jeserckW0Y2LWRU9leXVvz6EN3Vruu0tJSnnr2Vdau20TnYbdx9lXPMX/JRq+uYStm6RkHKylZPwhqcdu19xALlm22bP/rmgn89tWjJBc4h2KqTwR61KbR1DZVCVhGTnnARc7xgSM0RPjPxGQuGRTPiE7RXDcygRsmd2GJOZMEQEpyPDuXvc2vXz3CWZNOq1a9Sin+ffejPPvCG5x93tWUlZWzaPkWLrzhFZa4yGhRgaP5skN7a2qnNf9scCxe7whqs2RevnVC96F/n8dt151R4wj/Go2m7lJXzJQVRISZOKOndQ1ZUgN7x6jRQ7oSG+O9s9Tqf9bzwYdfktIwie9nzGbb9l0AZB6yCmxpaRmPPP8Fc75+1KNr9u3TnQ8+/hKAlavWet2mukbd+Rb4kf/cdg7n9jZpYdMEBSebSdLbEVkgR3FVfTYhJhOnDWxu2V60fAsbt+7zqo4jWdlMOvtKPvj4S5YvX8O27bssJsWLLzyb3795zFJ2zYbd5BxzHajBkT69rfkIFy9daWQnqMcEvbjde8vZXNA3eAao2iSpOZmoiUgF2kzpjitP70SIeZ3s/gNZnPd/L3LoyLEqzrLy8qvvcjTHKH/goBHM/IH7b+P2f13Li/efQfcuLenUrqml/PrNez26budO7WjUyEjhdORINnP/Xuxxm+oiQS1ujRo24OIBzpEyNJr6ysk2aqspgRC4qj6jzq0SefiavkSYQ5YcyT7OM69N9+jaDcuy+Pa7Hy3bI4cP4ruv3+eM8WN45sn7CQ83HuT79rDOn91wzzs8+9p0Zs1ZwYKlm/jlz9W8P+13/pi/lh9m/crx40bs2JCQEM475wzLeV99M9OzDnuIp8lVfYUod2Htg4AurZPU50+MC3QzfIIesWng5BI3XwtTbc7FuQvJ1WWQNaXN/H8OcNvLVqeOeb9Pp28fq2nQ1Tq3NStWcM5Yw/EkKTGBXVuXEBpqtUxVOIms27SXUy98nDIXa+oqFpH369WO5au306xpE5Yu/ImEBvGsWr2OYaMnAxAbG8OuLUuIjvZdMPJMSaRNQvJKpVRfn13UDUE9cgsGNi5eqIVNA5xcwuYPanMU58lnNaxHE8aP6mnZvvv+Jygvd9/G0tJSnn34Mcv26RPG2AkbYAmp1a1zC6a+cjMpyc6BKNq2agzA2o2GuXJ/+gHefe9TAHr17Er7dq0ByMvLZ/avfzqdX1/Q4lYHqRA0LWqakxV/CVFdm4d7/N6LCQ8zBGr5in/4/KsZbsu+/vyLLF9szIOZTCauu+aSSq99xtg+rJzzIh/971auunAU40f1pE/3Nkw6tR+XX3oubVq3tJR9460PycvLR0S44LxJlv2+Nk3WJtosWUfQQqapipNp5FYbIuRvM6Ur06StWRKgaZ8JPPPadF6dYsyjpaamsGbZbxQmtLArl7E/nRE9elFWZqTUeOTBO7jv7lvc1l1ZCK6K0V1paSk9+o5j9x7DW/ODKa9w4flnsmPnbrr3GQtAWFgYGbtX+dQ0GZPYTpslgx09QtNonKmt0VVdGcXddu0ZNGlkzK8dOnSEKVM/dSoz97ffLMLWvXcv7r7jxmrVZZsJIDQ0lIsuOMuyvfqf9QC0bdOK2FgjfFdJSQlbtu6oVl2BRotbLaMFTaOpO9QFgYuNieS+f51t2f5lzlynMkcOWZMDDx01kiOh3sd9tBW2Cnp072L5f80aQ9zefOcj8vKsa+MClUC1pgTPAjCNRqOpBoGKatK0zwTL/yMGnWL5f8euPU5lo2OsgZCPZjln8XYkJm2YnWnSlbAB9O3d3fL/gkXLGXXq+Sxbvtqy7/xzJ9G8eVqV9dVF9MitFtGjNY2mcgI1kgp0bMr4OGsQ94p1Z7Z07NLZ8v/mDUbcR0/zo7kTNoC0tMYM7N8bMHK62QrboAF9+N8rT3hUR11Ei1stoYVNo6n7+FLgvHEAylFtLP83bpTqdLxN+/aW//fudh7ZuSImbVilwlbBc08/QJfOHbji0vMs+668/HxmfPsB8fFxlZxZt9FmyVpAC5tGUzV1Yf4LAmOm3L1nv+X/Ji2sLvoLD2cwpGEaBSesc2AxNibKTEmsceSPfn17smT+LBYvWUmj1IaMGzecXj261uiadQEtbn5GC5tGU/+o7Uzfe/ZYgyc3a9nS7tjCwxnkbLSm6WrVtg2+JiQkhKFD+jN0SH+fXztQaLOkRqMJOHVl1OZIbbUrK9s6+mrowiy5bs0ay/+du9mPqjydezvZ0OLmR/SoTaOp/9SGwDVoYA2TtXHdeqfjm/ZZI/uHhYb5vT3BgBY3P6GFTaMJHvwtcMOHDrT8P3fOb7z/5tt2xzv07W35f9oHH7J5w0a743r05owWNz+ghU2j8Zy6apKsTbp17cR550y0bD/94EO8MHWKZXvg6eNpkJIMwNHsbC6YcDpbN22u9XbWJ7S4aTQajQdUR4S9WQ7wzhvP0XeQdQT33v0Ps2HxUgAiY6K55dUXiY2LBSAv9zj/feZZr9vjKfkZ8yuNT1kf0OKm0dQT3OUIq+8EIjpIdfBFO22tOukrZ9sdi4qKZMbnb9KhcycAykpLefuu+8nLOcaQhmlcO/Espn71paX8r7N+5I/ZvwC+TwTq6Rq5ukz9+FZpNJqgpr4InC9wJXAVo6TEhAb89O1Ukhs2BODY4SOs+OhzS/n+gwfRf/Bgy/b1l1zGU7ffYgmqrLFS5TdKRM4TkekiskdECkRki4g8KyJxNmXiROQlEZkrIrkiokRkpJvrjRSRzeZy74pIuM2xVuZzlYiMdnHuAhGZW62eajRBQLCO3qDuCVxagsnu5UsqE7i0tMa8+sLDluOfvjfVMr/WSB3lrZcfJi2tEQBKKT74+Etefs06P6cx8OQTuxsoAx4AxgNvAzcBv4lIxfnJwDVAKfCbuwuJSAzwNfAeMBnoBdzupvjTHrTtpKHLoCGWl0YTrARK4ByFrDbaUZnATT5rgiXmY3FxMZdNmsTWBYYJsnOn9iycO9OSMRvg8Sdf1qM3Bzz5BCcppS5QSk1TSs1TSr0K3AYMAEaay+xRSiUppcZiiJ87OgP7lFIvK6X+AJ4EhrsoNwcYKCKTXBw76XAUNC1wJzfBPHoD/wtcIITMHe4ETkR4/dWnLElCjxzJZuLZV/L2lE9QSpHaMJlTx42wu1Zm5mE0Vqr8VJVSrt6x5ea/Tc1lPE3nvRdoZzZNJgOXAVtdlPsWWAU8JSLi4bWDEndCpkdxmmDG14JTF4TMHe4ErkvnDsz45gMaNjSWAJSWlnL3fU9w7wOGUWvv3nS76+zbn1FLLa4fVPeTrnhk2FRpKQeUUoeAhzBMl0eANsAzroqay3UHLqxmG08KtMidnAT76A18I3B1VdAccSdwQwb3Y8Gf39PHJu/aW+98xOIlK8k/ccLuGvv2H6idxtYTvP7URaQp8ATwu1JqhbfnK6VeB1KB9sAApVSWm3KzgQXAEyLicYBnEbleRFaIyIqc40XeNq9O4Y1oaZHTBCPVFab6Imq2uBO4RNMO5vz0BaNHWX/fP/78O4UF9vc3PXKzx6tPX0RigR8wHEeurm6lSqmjSqntSqmqVkU+gCGCV3lx7SlKqb5Kqb4JcRHVbWLAqa5QaYE7eTgZRm/gucDVZdOjp7hbB1eWvYwbr73csj3370VERNrf32wzC2i8EDcRiQRmYpgST1NK7a/ilBqjlJoP/AI8IiL1V6m8pKYCpUdxJw9a4OrnKK0y3Alc77ZlmExGP/9Zu5HoqEi783765Q/y8vLRGHj0jRCRMGA60B84XSm1zq+tsudBoBlwYy3WGTB8KUpa5DTBhKOABZuo2eJK4OLjounVtRVgrG/7Z6198OSMjEweefzFWmtjXafKuSzzWrZpwBjgDKXUEr+3ygal1CoRmY5hoswAjnl6bnhMA7+1qz5RIXA6oHNwMqBzSqUxDL0Z3XkTCzEQBKuYuWLj4oWW3276ytk07TOBcSN6sHLtTgD2pzs7kEx5fxr/vvU6WrRoaskU4OvQXPUFTxw13gTOx1hUnS8iA22O7a8wT4rIBCAG6GY+NkJEUoB8s3NITXgYWI/hiDLPmxOb9pngFMOtruLvUVaXQUO0wAUpvjJPenKdui6AwYSjwJ3RFT5IacChI66f8ZVSfPn1D9x7982WfZmSeFIKnCePQRPMfx8EFju8rrUp9zbwDfCIefsx83Zli7o9Qim1Gfi0uuc37TOh6kIBprbMh9pMqakpAzqnVPrS+BbbB9LYqDD+dU7HSst//tX3OC49PhnzvXmyiLuVUkrcvB7zoFwrTxujlNptPmeqi2NXm4+N9PR6gcJbAdGCowkmtMj5no2LF1pE7ozBLenWNtlt2W3bd7Fy1Vqn/SebwHm8fkzjHXXNBFiX2qI5OahqLvBkoabvge2DQoWZ8r7Le3H547/jLjbU519+zyt9etSo3vpO0M/Opq+cHbA5N09GZLUxatPCptHUXxzFcePihZzSJomzhrd2cwZ8M/1HiouL/d20Ok1Qi1txvseOlQHB38Jma8rQaDT1F1cCd+v53YiNCnNZPvtoDr/+5pXvXdAR1OJWF6gs8LE/0aKm0QQ3SfGRXHd2F7fHP//y+1psTd1Di1stUNsOI1rYNHUF7VjiO1yN3s4b1Ya4aNejt9m//EFW9sm3BKACLW61hK3A+VPstLBpNMGLo8DtXr2Mc0e1cVm2pLSM7z5/qzaaVScJam/J7NzCQDfBDi1qGo2mpizddMRuRNw7KYdpoSZKSp3j0C9bvZ3rarNxdYigHrkdySl0+YEHG1rYNJqTl+TYUK4d4TrU4PI128nPmO/1NTMlsd6viwtqcSsrV3zw4yben7WJvIKSQDfHL2hh09R19Lyb73E0Tw7tEM2NoxNp2TiOfp1TLfu37TzAdz8tIS/9b6+u//cff/LSk0+xePuReity4himJZgQEUvnrj+7Czed0zWQzfE5Wtg09QW9mNs/uHpw6DJoCPe9uZg5S6353Xp1bc3Lj1/FgNGXVnnNw0ey6HDKMMs6uQeffoprbr6RxuT4pM0xie1WKqX6+uRilRDUIzdbEutx4lJH9Po1jUYDrh8aNi5eyI2TTyHWxoty9fpdjD73Ubr1HMIn076t9Jr5MWl2C8CffvAhpn3wYb0bwZ004nbOSNceRfUNLWoajaYqCvas4/PHxzFxSEtCQ6y3+Z17MrnpX/ezeMlKt+dGRUdz6hmn2+17+sGHOZyZWa8ELujFLTI8hAXvTiY8LCTQTakxWtg09RVfzrtl5AS/k5g3uDP5Ht/5D0/eMICvnz6Vwd0a2x37v+v/xZ69+91e84U33yAqOtqyXVRYyFMPPgzUH2eToBa3+Ogw/nrrLGLchKipL2gzpEZjT0ZOuRY5G9wJ3MbFC2mdFs+b9wzn22dOIyLcWP21Z99hxpw6mc1btrs8Lz6hAfc/8ZjdvlnfTmf+n39Ztuu6wAW1uDVNjSUyvH4v5dOiptG4RwuclcoEDqBtswY8f8tAwsOMe+KBzKOMP+MCDh3OspS1FazL/u8aho8ZbXet6y66hEMHD/q66X4hqMWtvqOFTRMMLN10xK/eklrgrFQlcCN6pfH6XUOIjjIc7A5n5XL3nbdbytlm7BYRXnjzdbvrFBcXc/8N15Fanl2t7N61OdrT4qbRaPyCv0VN45qqBK5/l0Y8f3N/y/5Zv67g6G6rubGROmp5dWsUwZefvW13nbnzFvHLr3/hDYGYp9PiptFofIoWtcBTlcAN7dGExsmGw0hxSSlbdmS4jWQy6Yxx9O7VzW7fi6+87bKsI4F0PtHiVkfRJklNfSNQopaWELy3sZo4zlQlcF1aW0Vn3uINAG4FrnWr5nbba9ZuoKyszGXZCkELtMNJ8H4rNBpNraBHav7HHwLXu0NDy/ZLb81gztw1gGuBS0uzX0pQVFTM7j37yMo+Snr6AUpK6l54Qy1uGo2mWmhR8y+OglbdUZy7z6lzdCbNU2MBOFFQzBW3/o8Pv/wTcBa4pg7iBnDhpTfRom0/OnQdRrsuQ/huxs9et82faHGrg2iTpKauo0XNv1QmYr4axUWGmbhtdDRpKTEAlJcr7nvyU554+WvKy8vtBM6VuG3avM3y/5Ej2Vxz/V1s37G7Wm3zB1rcNBqNV2hh8y+eiJevBC4tMYyHzoizm39744PZ3HjvuxQWlVgErn/fnohIpdcuKSlh2o/eZR/wJ1rcNBqNx2hhqzv4SuAaRIdw15hIhvdKs+ybMXsZ51/7IjnH8snPmE+zZmkMHzawymvv3rGzWm3yB1rc6hjaJKmpi+j5tdrBW8GqyTycLZFhJq7rDxeMaWsts2obN977rsVEeenF57i8VlRUpOX/zCqilxQVFnrd1uqixU2j0VSKFrXaoSaRVnwhcCaTcGb7Au64qLtl358L1jHl098AGNE90q58r55deeC+W5k5/SPLvkMHKhe3w5mHvG5nddHiptFo3KKFrf7gC4ETEfomZnHl6R0t+15+ZyYFhcWcKCiy7EtKTGDBXzN48P7b7dbAHcrMrLS+goITXrexumhxq0Nok6SmrqDNkLWLr+JjVsdM6epzHt3sOM1SDS/KY7knmDVnBVt3HrAc79Demh+zYcNki7NJ1uHDFBYUuK0rMTnZq7bVBC1uGo3GDi1qtYs/Aj/XVOBCQ4Shbaw5MKd+8D279lpNiq2bWnO9hYaG0qJ5U8v20w89TGlpqct6EpOSvGpXTdDiptFoLNR1YQu2DAD+7E9NBW54x2gqkniv2XaEdcuXWo4pZb/Q++orL7T8P+39D7nszMnk5hxzqsNkqj3J0eJWR9AmSU11qTAh1lSY6rqwuSPYBM+X1ETgGkSH0KeV1Ynkr5Xplv+zjx63O+/ft17L2WeeZtletmgRo/v043/Pv8jsH2ZawnNlHjhAbaHFLcDoLNsaX6LnyjS+ZHSXGMv/GUfyLf9n5eQB1tFbWFgYn374Oo88eIelTHZWFq8++xy3XHk1V517PiUlJexaPq+WWq7FLaBoUdP4i5NN4PTozT+c0iyChnEhTvsPH7R6RVYI3MpVa/nzrwUur7P47/mEZu3yOFWOL9DiFiC0sGn8jTejuGAQQy1wrqmJadIkYjd6qyAnr5j0lbMByD9RxJ233cyoU89nwaLlLq/571uv45df/2TNPxu8aktNCK21mjQWtLBpapOlm44woHNKoJtRYzyNuRjM+d0CwbiuMcxZn8fRfOv7n5tfTFl5OdM//ohnp21gb7r9w1HbNi3p1bMbE04bxfjTRrF//wFGnXperbZbi1sto4VN40u8HZkFg8hpvKcmoh8VbuKWsUk89YP1uxZqgp8W7uWxqctQylp25OBTePHRK2nZzJor7tiBxVx0yeOcOOF+/Zs/0I84tYgWNk2gcWWqDAaTpC3aPFlzHL8TndMiuGhgvGW7f9sonnjfKmzxMeG8/sy1fDXlLjthKy8v55b7p9itkast9MitltDCpqlLBIup0h3aPFlzHL8jE3vGEhthoqhUsetwMWXmZ4j2zRvw1j3DSUnIdUqL88o7s5gz75/abLYF/enXAlrYNHWRYF82oEdw9tT0/RARRnWJYXz3WDakW+NMXto3jJSEKACLkwnAxq37ePGtH2pUZ03Q4uZntLBpNDVHC1VgcPfwk1do/TzmrM9n1d/WaCXpK2eTvnI2zzz7Hspst+zVIYXYqDD/NtYBLW5+RAubxp8E86jLV2hRtMcXmQMABre3xpZctK2Ah749zM+z/rLs25F+jN+W77NsX3VGJ/IKSryuuyZocfMTWtg0mrqBFjjfc83wBIZ2iLJsH8gp5dHph/nq920opZj6wyaLs8nwnk3o1yW11tuoxc0PaGHTaOoWWuBqhqusATeNSeLG0YlEhBpOJKXl8Nwnq7nhsVn8smSvpezYNqX8MKP2wm5VoMXNx2hh02jqJlrgDKr7PrgyTw7rGM1T5zWkRbJ1Pm35rkLL/92bR9A0KZSXZmdVq86aoMVNo9EEPWkJJr00wE+kJYbx6OQUmiXaryyLiRBO6xZjcSqpbfQ6N41GE7TUdUFLSzDV+ojSH+9JZJiJ+yel8M2yXDKOlhIfJazfX8yLP2fTu2Uk8ZEmjp6o3X5qcdNo6ikDOqdUy2PSk8Xbdc0T01sRqOuiFowkxoRw/ahEAF76OYuiUmPEtmpPISap7Ez/UOU3QETOE5HpIrJHRApEZIuIPCsicQ7lEkVkqogcEZF8EfldRLq5uN5IEdksIrki8q6IhNscayUiyvwa7eLcBSIyt5p91WhOagZ0TvE4KklFWdtXoPFEsOqj+bE221tbdR3NL7PbLg+AZdKTkdvdwF7gAWA/0At4DBglIoOVUuVixFyZCbQGbgWOAv8B/hKRnkqp/QAiEgN8DTwPrAGeBW4HXnRR79PAoGr3LEB0GTREO5Voao2qRm++FCVX16oLI7z6JmaBojbfp35toth9pHbXtTniibhNUkodttmeJyLZwMfASOBP4ExgKDBaKfUXgIgsBnYB9wK3mc/tDOxTSr1sLvMkcD3O4jYHOFVEJimlZlWnYxrNyUptjrK8qcsXQmhrngwmUQvE3Js/ObNXLHPW5XGswL5PcZEmjhfWTj+rFDcHYaugIiNdU/PfM4GMCmEzn3dMRGYBZ2EVt71AOxEZCawDLgO2urj+t0AK8JSI/KgC5W6j0dQj6oLpsDIc21ddsQsmUbPFnwJX2++ZyWTEoZyx8rjd/tBabEZ1qxph/rvJ/PcUYL2LchuAFiISC6CUOgQ8BPwGHAHaAM+4OE+Zy3UHLqxmGzWak4K6MiemCW68/Y5N7BlLgyh7ialNj0mvvSVFpCnwBPC7UmqFeXcSsNtF8Wzz30QgD0Ap9bqIfAYkAzuVUi57q5SaLSILgCdE5FulVKmH7bsew9QJkN3riq93eXJeEJCC8cBwsqD7G9ycTP2tH32dm+6rK0X66kKV4ZW4mUdgPwClwNW2hzBGW06nuLqOUuoohtNJVTwA/A1cBUz1pI1KqSnAFHN7Vyil+npyXn3nZOor6P4GOydTf0+mvoLR39qox2OzpIhEYnhEtgFOq/CANJONMXpzJNH81xMhc0IpNR/4BXhERCKqcw2NRqPRnHx4JG4iEgZMB/oDpyul1jkU2YAx7+ZIF2CvUiqvBm18EGgG3FiDa2g0Go3mJMKTRdwmYBowBjhLKbXERbGZQFMRGWFzXjwwyXys2iilVmEI6wNAjJenT6lJ3fWMk6mvoPsb7JxM/T2Z+gq11F+pysteRN7GGDU9DfzocHi/Umq/WQAXAM2Be7Au4u4O9FBK7cMDRKQVxtq465RSU232d8LwxgwB5imlRnpyPY1Go9GcnHhilpxg/vsgsNjhdS2A2eNxIoaL/1vA90AZMMpTYasMpdRm4NOaXkej0Wg0JwdVjtw0Go1Go6lv1Nml/iIyRETmiMghc5DlVSJyjc3xj2yCLDu+Njtcy9Ngza5ePQPdV3OZU0TkOxHJMAem3iAid4lIqEO5Ot1XL/rbU0R+EZE8c5mZItLOxbXqQ39HmYN+F4hItoh8KiKNXJRLFN8GH6/1PnvSVxGJE5GXRGSuuQ9KjKhFrq5XZ/tqboMn/R0jIp+JyA5zuR0i8raIpAZpf/uYf7vpIlIoIgdF5GcRcYoV7Nf+KqXq3Atjrq4A+AsjfNc44F2MtXQ3mcu0BQY6vC4yl3nB5loxwCHgLgynmGXAPTbHW5nPecbF9QYC0XWgr2nAYYxg0xcAozHmQMuB5+tLX73ob3vgOIbp+yzgXGAtkAGk1rP+DgNKMOarTwcuB/ZgzCFH2JQTYD5GcPKLgfHAPIzFvc3qQ5+96GsrjOVDv2M4iylgpIvr1dm+etnfb4DZGGuDR2BM56QDO4HYIOzvGOANjPvxCOB8YBFQDPSvrf769YddgzfxGfMbEeuwfwmwuJLzHja/GafY7OsLrLTZngTMcvEGXltX+4oRcUUBHRzKfAkcqC999aK/U4EcIMHmeDOgEPsHl/rQ39+B7UCozb5+5nbdbLPvLPO+UTb7GmCIwP/qQ5+96KvY/D8W9+JWZ/vqZX8bujh3uLncNcHWXzfnxgFFwOu11d+6apYMx3hCKHDYn0PlptQrMN6sDTb7LMGaRSQZ98GaA4Unfa0YqudWUgbqfl/Bs/4OxBC6nIqDyggasB6YbHNOfejvQOA3ZRM+Tim1HMjCvi8ug48DFcHHK6jLffaor8p85/KAutxX8Ly/ngSfhyDprxvyMcTNNg+OX/tbV8XtI/Pf/4lImogkiMh1GEPX/7o6QUSGAO0wUvFYUJ4HazaJSKjDK8Q33amUj8x/K+vrNxhtf0NEWotIvIhMxjALvFxxoXrQV/Csv2UYoztHioC2YkTLqS/9rawvXW22fR18PBB99rSvHlHH+wo162/FmuCK4PNB118RMYlImIi0wDBTgk0YRb/3NxDDWw+HwP0w5h+U+VUM/F8l5d81l0lxczwRQ/xMDvtb2dTh+MqrK301t32DTZly4JH61ldP+ouR0HY/EGazLw5jdKeAJvWlvxjzCEsd9rU0f35FNvu2Al+6OP9ac3ub1/U+e9pXh+NuzZJ1ua/V7a/Nd3kzsBEbE1+w9RcjdVlF+zKBobX5+XqdFaA2EJH2GBPNGzAWkBdgmGbeEZFCpdQ0h/IRGI4WPyqlXEbXVlUHa34KIyi0LWWuCvoST/oqIg2B7zCG9udhmAFGAw+JSJFS6nnba9bVvoLHn+1rGJPQ74jIIxgBvl8GYs2XscskUZf7i9GXz0TkKeB/GDFYp2D0wbYfvg4+Hog+e9pXr6ijfYVq9FcM7+YvMMyRQ5SLbCdB1N97gecxgnvcAvwoImOVNZsM4Mf++lvtq/mE8A2wA5snd/P+aRjDV0eFvwDjxnBWNepqRWAnaavsK0am8lwg0aHM01QyWq1rffXmswVuBo5hfVL7HXgfwwQS5mFdAe+vuR1PYoh4xYj7C4ywdDttyiwFfnVx7r3m82I9rCvQ3+cq++pQvsqRW13tq7f9Nf+Wp2E4Ro0J9v46nBeOYZ34pbb6W1fn3LoB/yilShz2L8PIA+e4PuRKjBvjz7XQNl/jSV+7AduV8YTjWCYMY0hfX/Dos1VKvWX+vyvQQik1FmNJxFIX59ZplFIPY+Ts6o5hUr0YY7nDApti/gw+Xmt42Negwcv+voORfPkipdQftddK31Hdz1cpVYyxnKfW7lV1VdwOAj1tF/SZGYDx1FORBBXzAsJTgc/r203PjCd9PYjhVZToogwYa2bqCx5/tkqpIqXUBqXUPjEWM48F3q69pvoOpVS+UmqdUipTRMYDnTBudhX4Lfh4beNBX4MKT/orIi9jzJ9erZSaEYBm+ozqfL4iEo3h+r+jNtoI1cjEXUu8gWG+miUib2EMg8/EWNz6X/NTQAWXYvTjY6ereEcbERnoYv9WpVS2i/2+osq+isg7GP2cIyIvYsy5jQTuBr5X3sfvDFRfwbP+NgNuwlj4WQT0wcgK8Z1S6otq1Bmw/opIL4z4rKvMu4ZiBBd/QSm1yKboTIxF65+JiG3wcQFeqEbVtd5nL/qKiEzAWMRbEYFlhIikAPlKqdleVh2Qz9fT/orIfcCdwAfANoe2HlZKeXvDr+v9fRfjIXUFhkWtJfAvoAmGh7e3VK+/gbLdemBvnQDMxYjMcRwjOsfNQIhDuX+AdTWopxXuPXIUcF5d6CvGGpOfgQMYjiUbMNxoo+pTXz3pL9AIY47tCIa4bcSIYuDkWVbX+4thalyA4elZgHFjuNpN2SSMG2A2cAL4AyOrRr3os5d93e2mfbvrQ1+96a/5u+6ujR8FYX+vwXgwzcKwxuwAPge61eZ3WQdO1mg0Gk3QUVfn3DQajUajqTZa3DQajUYTdGhx02g0Gk3QocVNo9FoNEGHFjeNRqPRBB1a3DQajUYTdGhx02g0Gk3QocVNo9FoNEGHFjeNRqPRBB1a3DQajUYTdGhx02g0Gk3QocVNo9FoNEGHFjeNRqPRBB1a3DQajUYTdGhx02g0Gk3QocVNo9FoNEGHFjeNRqPRBB1a3DQajUYTdGhx02g0Gk3QocVNo9FoNEGHFjeNRqPRBB1a3DQajUYTdGhx02g0Gk3QocVNo9FoNEGHFjeNRqPRBB1a3DQajUYTdGhx02g0Gk3QocVNo9FoNEGHFjeNRqPRBB1a3DQajUYTdGhx02g0Gk3QocVNo9FoNEGHFjeNRqPRBB1a3DQajUYTdGhx02g0Gk3QocVNo9FoNEGHFjeNRqPRBB1a3DQajUYTdGhx02g0Gk3QocVNo9FoNEGHFjeNRqPRBB1a3DQajUYTdGhx02g0Gk3QocVNo9FoNEGHFjeNRqPRBB1a3DQajUYTdGhx02g0Gk3QocVNo9FoNEGHFjeNRqPRBB1a3DQajUYTdGhx02g0Gk3QocVNo9FoNEGHFjeNRqPRBB1a3DQajUYTdGhx02g0Gk3QERroBtR3RESAkUBqgJui0Wg01WW1UmproBvhS7S41YDRHUJVw1ghOhyaJQRmENw8NSYg9QI0atkqIPXGN+0YkHrD41sHpF6APIkKSL2783IDUi/A5syDAal3Z3pGQOoFOH4wAHUrYH8G0iQFDmY1Vkpl1n4jfI8Wt2ogIm2aJciO0nLo2TSEBlFCWoDEbUDnuIDUC9BlUKeA1Nu0z4SA1BuTNiwg9QJkSmJA6l14OHA3etmwPiD1Hl61OiD1AhxfuyYwFSdGQ9YxOH7ioLRsAnsPxiql8gPTGN+gxc0LRCS5XUPTkaRooU2yidQ4PWWp0WiCABFISYCkeDiYBdGRedK+BWzfF6qUKgt086qDFjcPEJHIbk1MBQ0iISlK6JFmwphq02g0miDCZIK0hpCaBPszITaqVE5pCxt3mpRSKtDN8wYtbpUgIqZ+LULKGkQCAqM7hBJi0qKm0WiCnNAQaJUGRcWw5wAkxJaLSB+l1KpAN81TtF3NDcPbhaqkaCnLKVAMbxdKx9QQLWwajebkIiIcOrQ0hC4hbqWkJikRaRnoZnmCHrk5ICJdG8fLulAT9G8ZQmyEFjSNRnOSExsNXdvC0VwoKNotzRpB+qEkpdTRQDfNHVrczIhI01ZJsr9hrNClkYmkGD2o1Wg0GjsS4yEhDg5lQ3RktrRpCrsyIpVSRYFumiNa3Mw0iZf9BSUwtI02P2o0Go1bRKBRMsTHwtpt0K55IVDnbpp6eGLmQK6Kbhgr/Lm1lL1Hy6lnjkEajUZTO5SWwe4DsGU3tG8O2/fVSR3RIzczSqkCjGhaKdn56vD2w+V0baLXsmk0Gg0A5QoOHjHWwaU1hLyCMLVhZ2mgm+UOLW4OKKWOYIhcux1HyrdtO1xOt7QQ4iPr3Khbo9Fo/I9SRvSSfZmQ3ABOFMapbXvzAt2sqtDi5gal1HZARncIVav2lREXCV0ahxAVpkVOo9GcJOTmw+4MiI6E/II0lXfiQKCb5Cla3Krgz62lIiLSvmFI+cKdpTSJN9Ex1URoiBY5jUYTpBQUGaKmFOTmn6KO5W0MdJO8RYubB5jDzoiIhLVKovivbaW0TQmhVbJg0mG4NBpNsFBSCnsPQl4BHM8fpZSaG+gmVRctbl6glCrBELn4EyXq2F9by+nc2ESTeC1wGo2mHlNWDhmH4chRaNYIDhwJUUqVB7pZNUG0y3v1EZFmrZJkX14RNAqQwKUmRAakXoDERo0DUm9MSvOA1BsaE5j+AhQQEZB6DxYGLuvJ3uzABL84mHUkIPUCnMjKCkzFh7OMYMm76+aC7Oqgxc0HiEgr4Frg+wBUPzlA9Qay7pOt3kDWrft8ctQ9VCn1WgDq9Rta3HyEiKxQSvU9WeoNZN0nW72BrFv3+eSoO5B99hd6hbJGo9Fogg4tbhqNRqMJOrS4+Y4pJ1m9gaz7ZKs3kHXrPp8cdQeyz35Bz7lpNBqNJujQIzeNRqPRBB1a3DQajUYTdGhxqyEicqeIzBKRAyKiROQxN+Xmmo87vv7tr3pFpImIPCsiK0TkmIgcFpE/RGR4deqsoj0pIvKBuY4CEVkqIqf5uh43dTc1131QRIpEZJeIPOvH+uJE5GsR2S4i+SKSY+7vZT6up7mIfGv+7HJF5DsRaeHLOlzUeZqI/GnzXu4397WLP+t1aMPpIvK3iOSZ+71CREb7uc5RIrLA/N3NFpFPRaSRj+toJiKvi8hiETlh/t22cigzRkQ+E5Ed5rbsEJG3RSS1Fupu5eYepUQkoSb1BwItbjXnOiAVmOFB2bXAIIfXl36stw9wIfADcB5wFVAIzBWRidWs1wkRiQD+BMYD9wLnAPuAH0VkpK/qcVN3K2AZ0AG4DTgVeAzwZ56pcPP1nwXOBC4BNgOfisgdvqhARKIx3tNOwJXA5UB74C8RifFFHW5IAlYC/8J4L/8DnAIsEZGWfqwXABG5AeP7uhJjQfP5wDdAtB/rHAbMAXKAc4HbgeHAH+bvtq9oB1wAHAXmuylzI5AMPIXxe6r4ji0RkVg/113Bszjfp47XoO7AoJTSrxq8AJP5byiggMfclJsLLKjNeoEEINRhXyiwBfjbh225zNyGkTb7BEPMl/n5/f8FQ9zC6sB3YTGwzkfXuh0oA9rZ7GuNIap31nK/Opo/37v8XE8roAD4dy3373dgu+1vBehn7vPNPqzHZPP/tebrt3Io09DFecPNZa/xc92tzPuvrc33318vPXKrISpAwUU9qVcplaOUKnXYVwqsAZr6sDkDMW5K82zqURhPw/1ExJd1WRCRtsBpwOvKCGodaLIAX7XjTGCJMvIKAqCU2gUsBM7yUR2eUhHw0N/v8TVAOfCOn+txZCDwm+1vRSm1HKPfk31ViYe/2cMudi83/6327yhQ96lAosWtdullnj8pEZG1IvJ/td0AEQnHMDNs8uFly4ASs6DZUhGAtasP67JliPlvgYj8Zp4jOioin4hIsp/qtCAGoSKSLCLXYwjtqz66/CnAehf7NwB+n/8SkRARCReR9sC7wEGqb0L3lKEY5t2LzHNNpeZ5zVv8XG8ZUOxifxH+++56wwjzX1/+ZivjWfN7f0xEZopIt1qq16folDe1x9/ANGArhrnwCmCqiDRRSj1Vi+14DGgGXOrDa24B4kWks1LK9gc4yPw3yYd12ZJm/vsB8CnGXEE7898uItLfz0+stwCvm/8vAW5XSn3io2snYcyPOJINJPqojspYijFnC4bJbrRS6pCf60wzv14EHgB2YMy5vSEiocp/gX23YIzeLJjnF5vg/9FqpYhIHMYD0yY8m9evCUUYDzJzgMMY870PAIvMv6XaElffEGi7aF16AWMxbM5Vvea6OLfSOTc39X2PYc6bWBv1Yjg+lAOP+/J9wBDrQxhzX92AFIwfRam53IX+eP/NdShgpsN1LjTvn+DPzx1oCPTFmPh/C2MEcIOPvovFwLMu9j8NlNbCb6EzMAC4GMO5Yz8OczR+qHOr+X0+x2H/bIyRo/ip3kvN9T6F4aTVCeNhtBQo8FOdLue9HMqEAj9iOHN0r826bco2B3KBz/z9nfP1S4/c7FmE8aOuihM+qu8L4Gwgz9/1isgk4CPgfaXUo1UU9+p9UErliMi5wMcYTiRgPHU/BjwJHPCwmd6+/xVzQb85HJ9j/tsL48bo63oBy/xIxRzJL2YPx5dE5ANV8znAo7ge8SbiekTnU5T1KX2piMwGdgP3Y3jz+YssDI9QV5/neIyRVIavK1VKTRORTsDdwIMYN/6vgJ8JkFlSREwYv6exwBlKqbVVnOIXlFL7RGQBhoNNvUKLmw1KqRMYNv/aoiLDaaFSym/1isgYDHfq74EbqipfnfdBKTXf7ODRDgjBeAq/B2NkusrDa3hb74aKU90c98gk6cPPfQWG234jjJFOTdiAMe/mSBdgYw2v7RXmh5ftGJ+tP9mAg3nQTMXvxG8mZqXUwyLyHNAGOKSUyhSRTcACf9VZBe9gWCDOU0r9EaA2VCC4/43VWbRDSWC5BOPmv85fFYjIIIx1Q38Alyk/zkEpg21moY7GWIv3qVIqz09VLsEwV4132F+xvZzaZQTGKNwXc1MzgYEi0qZih3lN3xDzsVrDvJi5E8Zo3J98b/7ruPj/NGC/UuqgPytXSuUrpdaZhW08Rp9r23MTEXkZw3R4tVJqRm3X79CWFhjfuaWBbEd10CO3GiIifTHWh1Q8KHQRkfPM//+slDphXiR6P/AdhnmnAcYT/pnA/UqpfD/V2wn4CTiCMUnfR0Qs11BKLfG23kra8yzG3MwRjCf8ezAm4//jqzocUUqVisj9wEci8g7G+9sOY15qLsYiaJ9jXmg8EGN91H6MRbcXYCyUv18p5crzzlvew1hI/YOIPITx5PwkxuL4d31wfZeIyPcYI+21GHMtHYA7MOafXvZXvWZ+Bv4C3hWRFGAnxnt6KnC1vyoVkV7ABKwWhqEY398XlFKLfFxXxW+0wllngogcBg4rpeaJyH3AnRhOUttExHYke1gpVe0HDA/qfhnjfrIYw9zeEeP3Ww48U916A0agJ/3q+wtjHsudA0Irc5l2GHM/6RgeSXkY8zwX+7neqyopo3z8PnyAcaMvNv99HUiqpc/gcgy3+SKM+b3XgVg/1jcY40Z8wFxnOobQneHjeloA0zFE5jiGt1wrP7+X92E8pORgzDFuwRBTv9ZrU3888CaQaf4urQUu8XOdp2CYH3OwmtGv9lNdVTlJza2kzEd+rvsaDGvHUYyHmYPA50DH2vjsff3SKW80Go1GE3ToOTeNRqPRBB1a3DQajUYTdGhx02g0Gk3QocVNo9FoNEGHFjeNRqPRBB1a3DQajUYTdGhx02jqCSKyWUQerOR4KxFRInJVLTZLo6mTaHHTaOoB5mgzHfF/2hONJijQ4qbR1A8mA9uVUhuqLKnRaLS4aTSeICKPmU1+nUTkVxHJF5G9InK1+fjlZrNhnoj8Zc6QUHHubhH5zFxmi4gUiMh8EWkvIjEi8q6IZIlIpoi8LCKuYr6ejc2oTUSiReQt83l5IjITIwmtY7v7ici3IrLfXO8WEXlGRKJsyrxhrjvM4dxYETlujhuq0dQrtLhpNN7xDUYw6rMxYjB+ICLPADdhBMe+GsN8+LnDecOBmzFiN14JtMWIGzkNI27kRcAUjKC519ueKCJNMPJpzbDZ/S5G5PhXgHMwYkA61glGfMo1GHnYxgOvYcQQ/NCmzFsYSTonO5x7KRCDEcRZo6lfBDq4pX7pV314YSReVcAVNvsSMQLMZgHxNvtvM5dtad7eDWQDDVyUmepQzyrgL4d9N2EEEjaZtztiZP2+36Hc2+ZrXuWmD4KRCeQyjEjvyTbH5gJ/uGjLL4F+7/VLv6rz0iM3jcY7LJm9lVJHMXK3LVFK5dqUqUh82txm32Kl1DEXZX51uP5mR2tARQAAAe1JREFUh/PAGCXOVNZcfAMwrC5fO5T70rGxIhIvIs+LyA6MDAYlwKcYQtfepuhbwCgRaW8+rx9GJnO/pdfRaPyJFjeNxjuOOmwXu9kHEFnFee72W84TkXhgJPYmySbmv5kO5zpug2F+vBH4HzAOw7x5i4v2fY+R4qQiU/uNQAYwy8U1NZo6jxY3jaZucwaG4P1us++A+W8jh7J22yISCZwFvKiUek0pNU8ptQIjZ5kdSqkSYCpwlYikYswBvq+UKvVNNzSa2kWLm0ZTtzkbY96ryGbfUow5swscyl7ksB0BhGCYIm25yk1d72Jkif/GfK52JNHUW1y5HGs0mjqAiIRjeDjebLtfKbVFRD4HnhARE0b25HHA6Q7ljonIEuAuETkAHMHwlGzqqj6lVLqIzMLwmpyllNrn6z5pNLWFHrlpNHWXMUAUxtIDR24A3gfuxpgv6wRc4qLcxRhLFt4EPsKYV7u9kjq/Mf/VjiSaeo0opQLdBo1G4wIReQdoq5QaV4t1TgOGAG1svDM1mnqHNktqNHUUpdSNtVWXiAwEegIXAndqYdPUd/TITaPRICIKyMNYO3eD9pLU1He0uGk0Go0m6NAOJRqNRqMJOrS4aTQajSbo0OKm0Wg0mqBDi5tGo9Fogg4tbhqNRqMJOv4fGgT0kR2VqkQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting annual_pr_mean\n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "plt.rcParams['font.size'] = '16'\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias['lon'], bias['lat'],bias[:,:],\n",
    "                levels=np.arange(-15,15+3,3),  transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1,ticks=np.arange(-15,15+3,3), orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "\n",
    "\n",
    "plt.title('Seasonal Bias(RegCM MIROC5-TRMM)',fontsize=17)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias(miroc-trmm).png\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9003db92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting bias percentage \n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias_percentage['lon'], bias_percentage['lat'],bias_percentage[:,:],\n",
    "                levels=np.arange(-150,150+25,25), transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1, ticks=np.arange(-150,150+25,25),orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'percentage')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "\n",
    "plt.title('Seasonal Bias-Percentage(RegCM MIROC5-TRMM)',fontsize=17)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias_percentage(miroc5-trmm).png\")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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": 24,
     "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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