Seasonal Bias(gcm Noresm-trmm).ipynb

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    "#writing some conda package or module\n",
    "#!pip install netCDF4\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "from netCDF4 import Dataset\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "#!pip install cartopy\n",
    "import cartopy.feature as cfeature\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.mpl.ticker as cticker\n",
    "from cartopy.util import add_cyclic_point"
   ]
  },
  {
   "cell_type": "code",
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       "    title:                     TRMM: 3B43\n",
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       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-681f323f-876b-4f67-ac31-4745279b1b5b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-681f323f-876b-4f67-ac31-4745279b1b5b' 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-0cc86869-5bfe-4224-a384-ca4f6f44fdf6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0cc86869-5bfe-4224-a384-ca4f6f44fdf6' 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-2fe9aa71-2076-4b37-869c-ff485f94ea9d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2fe9aa71-2076-4b37-869c-ff485f94ea9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2354405f-1528-4af8-9e88-a879cfe1493e' class='xr-var-data-in' type='checkbox'><label for='data-2354405f-1528-4af8-9e88-a879cfe1493e' title='Show/Hide data 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-0f495f23-41a6-4238-ac45-023574b749be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f495f23-41a6-4238-ac45-023574b749be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78e5ddfe-fe5b-4b98-a6a8-ec9cb64931cb' class='xr-var-data-in' type='checkbox'><label for='data-78e5ddfe-fe5b-4b98-a6a8-ec9cb64931cb' title='Show/Hide data 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-79fa4d1a-e64a-4bec-ba32-edf2aad586a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79fa4d1a-e64a-4bec-ba32-edf2aad586a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3dcf6e83-1138-4224-9f2b-2b791c6d36c5' class='xr-var-data-in' type='checkbox'><label for='data-3dcf6e83-1138-4224-9f2b-2b791c6d36c5' title='Show/Hide data 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-f68a0812-da70-43b1-9716-472e1ab8c4c8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f68a0812-da70-43b1-9716-472e1ab8c4c8' 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-5abd4983-d9ed-41dc-a440-91660997e998' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5abd4983-d9ed-41dc-a440-91660997e998' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb7c1022-e6d5-4f30-bb56-04423b6c201a' class='xr-var-data-in' type='checkbox'><label for='data-cb7c1022-e6d5-4f30-bb56-04423b6c201a' title='Show/Hide data 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-38aa6789-a47d-4740-a66b-4f07d21c2977' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38aa6789-a47d-4740-a66b-4f07d21c2977' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a2228b1-90c5-489a-b4cc-69f6e37de534' class='xr-var-data-in' type='checkbox'><label for='data-9a2228b1-90c5-489a-b4cc-69f6e37de534' title='Show/Hide data 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-22f39442-9eae-491e-baa0-b2c9d1a7cef7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22f39442-9eae-491e-baa0-b2c9d1a7cef7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b136b1d4-1c14-4cff-a3bf-4322e23937e2' class='xr-var-data-in' type='checkbox'><label for='data-b136b1d4-1c14-4cff-a3bf-4322e23937e2' title='Show/Hide data 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-96b83f1b-095d-446e-875c-2e2136968576' class='xr-section-summary-in' type='checkbox'  checked><label for='section-96b83f1b-095d-446e-875c-2e2136968576' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 132, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-01-01 1998-02-01 ... 2008-12-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 ...\n",
       "    datesec  (time) timedelta64[ns] ...\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/observation/trm/MonthlyTRMM_3B43/3B43.1998_2008.nc')\n",
    " \n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "800e4d90",
   "metadata": {},
   "outputs": [
    {
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       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 95, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-02-01 1998-03-01 ... 2005-12-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980201 19980301 19980401 ... 20051101 20051201\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-badb599d-3aaa-4bd0-8d26-8e0415938d66' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-badb599d-3aaa-4bd0-8d26-8e0415938d66' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 95</li><li><span class='xr-has-index'>lat</span>: 400</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a387498b-6db9-4128-bafa-d5ffaecce654' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a387498b-6db9-4128-bafa-d5ffaecce654' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-02-01 ... 2005-12-01</div><input id='attrs-bbbae051-85bb-4d8f-bb7c-b84deaa20091' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bbbae051-85bb-4d8f-bb7c-b84deaa20091' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9597c173-4626-421b-9fa7-88ae659ad299' class='xr-var-data-in' type='checkbox'><label for='data-9597c173-4626-421b-9fa7-88ae659ad299' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-02-01T00:00:00.000000000&#x27;, &#x27;1998-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-04-01T00:00:00.000000000&#x27;, &#x27;1998-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-10-01T00:00:00.000000000&#x27;, &#x27;1998-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-12-01T00:00:00.000000000&#x27;, &#x27;1999-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-02-01T00:00:00.000000000&#x27;, &#x27;1999-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-04-01T00:00:00.000000000&#x27;, &#x27;1999-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-10-01T00:00:00.000000000&#x27;, &#x27;1999-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-12-01T00:00:00.000000000&#x27;, &#x27;2000-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-02-01T00:00:00.000000000&#x27;, &#x27;2000-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-04-01T00:00:00.000000000&#x27;, &#x27;2000-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-10-01T00:00:00.000000000&#x27;, &#x27;2000-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-01T00:00:00.000000000&#x27;, &#x27;2001-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-02-01T00:00:00.000000000&#x27;, &#x27;2001-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-04-01T00:00:00.000000000&#x27;, &#x27;2001-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-10-01T00:00:00.000000000&#x27;, &#x27;2001-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-12-01T00:00:00.000000000&#x27;, &#x27;2002-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-02-01T00:00:00.000000000&#x27;, &#x27;2002-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-04-01T00:00:00.000000000&#x27;, &#x27;2002-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-10-01T00:00:00.000000000&#x27;, &#x27;2002-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-12-01T00:00:00.000000000&#x27;, &#x27;2003-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-02-01T00:00:00.000000000&#x27;, &#x27;2003-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-04-01T00:00:00.000000000&#x27;, &#x27;2003-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-10-01T00:00:00.000000000&#x27;, &#x27;2003-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-12-01T00:00:00.000000000&#x27;, &#x27;2004-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-02-01T00:00:00.000000000&#x27;, &#x27;2004-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-04-01T00:00:00.000000000&#x27;, &#x27;2004-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-10-01T00:00:00.000000000&#x27;, &#x27;2004-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-12-01T00:00:00.000000000&#x27;, &#x27;2005-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-02-01T00:00:00.000000000&#x27;, &#x27;2005-03-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-04-01T00:00:00.000000000&#x27;, &#x27;2005-05-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-10-01T00:00:00.000000000&#x27;, &#x27;2005-11-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-12-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.88 -49.62 ... 49.62 49.88</div><input id='attrs-3a599be1-93f9-4619-804e-1a5758f03639' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a599be1-93f9-4619-804e-1a5758f03639' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0610656-cde9-4370-a598-134034a70924' class='xr-var-data-in' type='checkbox'><label for='data-e0610656-cde9-4370-a598-134034a70924' title='Show/Hide data 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-ea490704-ee61-4492-8893-06019e495a52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea490704-ee61-4492-8893-06019e495a52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f8739cb-314b-4779-811a-0104654cdfe4' class='xr-var-data-in' type='checkbox'><label for='data-8f8739cb-314b-4779-811a-0104654cdfe4' title='Show/Hide data 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-042f4fee-71b0-41a3-b6ff-0729ccd4e273' class='xr-section-summary-in' type='checkbox'  checked><label for='section-042f4fee-71b0-41a3-b6ff-0729ccd4e273' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>19980201 19980301 ... 20051201</div><input id='attrs-e8400bc2-2acc-4ea0-acc1-8f6c976937e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8400bc2-2acc-4ea0-acc1-8f6c976937e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a0b9930-a1fb-4b87-99f9-ebf75f674f31' class='xr-var-data-in' type='checkbox'><label for='data-3a0b9930-a1fb-4b87-99f9-ebf75f674f31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980201, 19980301, 19980401, 19980501, 19980601, 19980701, 19980801,\n",
       "       19980901, 19981001, 19981101, 19981201, 19990101, 19990201, 19990301,\n",
       "       19990401, 19990501, 19990601, 19990701, 19990801, 19990901, 19991001,\n",
       "       19991101, 19991201, 20000101, 20000201, 20000301, 20000401, 20000501,\n",
       "       20000601, 20000701, 20000801, 20000901, 20001001, 20001101, 20001201,\n",
       "       20010101, 20010201, 20010301, 20010401, 20010501, 20010601, 20010701,\n",
       "       20010801, 20010901, 20011001, 20011101, 20011201, 20020101, 20020201,\n",
       "       20020301, 20020401, 20020501, 20020601, 20020701, 20020801, 20020901,\n",
       "       20021001, 20021101, 20021201, 20030101, 20030201, 20030301, 20030401,\n",
       "       20030501, 20030601, 20030701, 20030801, 20030901, 20031001, 20031101,\n",
       "       20031201, 20040101, 20040201, 20040301, 20040401, 20040501, 20040601,\n",
       "       20040701, 20040801, 20040901, 20041001, 20041101, 20041201, 20050101,\n",
       "       20050201, 20050301, 20050401, 20050501, 20050601, 20050701, 20050801,\n",
       "       20050901, 20051001, 20051101, 20051201], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 1 days ... 1 days 1 days</div><input id='attrs-55d721a4-f3d4-499f-b2fd-b74e395d6d43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55d721a4-f3d4-499f-b2fd-b74e395d6d43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43c92b35-4d77-47f0-83d6-99c9dad35986' class='xr-var-data-in' type='checkbox'><label for='data-43c92b35-4d77-47f0-83d6-99c9dad35986' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4dee88b9-9774-4ae5-b89b-dc654769f168' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4dee88b9-9774-4ae5-b89b-dc654769f168' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc7f5316-5132-4477-b193-d1a11fddbcfe' class='xr-var-data-in' type='checkbox'><label for='data-fc7f5316-5132-4477-b193-d1a11fddbcfe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>[54720000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-67def0e9-de69-4aff-a40c-5e71e5437af4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-67def0e9-de69-4aff-a40c-5e71e5437af4' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 95, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-02-01 1998-03-01 ... 2005-12-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980201 19980301 19980401 ... 20051101 20051201\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1998-01-16T12:00:00.000000000','2005-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "10070b93",
   "metadata": {},
   "outputs": [
    {
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       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 32, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2005-09-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20050801 20050901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7746ed32-2ce9-4353-829c-cc2c0610138b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7746ed32-2ce9-4353-829c-cc2c0610138b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 32</li><li><span class='xr-has-index'>lat</span>: 400</li><li><span class='xr-has-index'>lon</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-84a86fbe-7bde-4ace-b0a3-97785673a088' class='xr-section-summary-in' type='checkbox'  checked><label for='section-84a86fbe-7bde-4ace-b0a3-97785673a088' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-06-01 ... 2005-09-01</div><input id='attrs-ac293b17-eace-4f1c-805a-553840e58491' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ac293b17-eace-4f1c-805a-553840e58491' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6cd4428-bb99-4243-8e53-252c6444fb62' class='xr-var-data-in' type='checkbox'><label for='data-a6cd4428-bb99-4243-8e53-252c6444fb62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-49.88 -49.62 ... 49.62 49.88</div><input id='attrs-58d5b2c0-738e-440f-9348-38464c27acdc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58d5b2c0-738e-440f-9348-38464c27acdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39ed33ee-a5e2-4d43-9b5d-7b63f40c2d20' class='xr-var-data-in' type='checkbox'><label for='data-39ed33ee-a5e2-4d43-9b5d-7b63f40c2d20' title='Show/Hide data 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-151da870-7dce-47d5-9297-b31c60b68e06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-151da870-7dce-47d5-9297-b31c60b68e06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4aa2648e-1874-470c-b8e8-1879f7c0d15c' class='xr-var-data-in' type='checkbox'><label for='data-4aa2648e-1874-470c-b8e8-1879f7c0d15c' title='Show/Hide data 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-26517f10-9f39-48f9-8077-02d421dccf34' class='xr-section-summary-in' type='checkbox'  checked><label for='section-26517f10-9f39-48f9-8077-02d421dccf34' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>19980601 19980701 ... 20050901</div><input id='attrs-a9c29184-b0c3-490b-bce5-fafd789a0ac5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9c29184-b0c3-490b-bce5-fafd789a0ac5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a614e41d-2c4b-431f-a20c-f17d7ed148b9' class='xr-var-data-in' type='checkbox'><label for='data-a614e41d-2c4b-431f-a20c-f17d7ed148b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980601, 19980701, 19980801, 19980901, 19990601, 19990701, 19990801,\n",
       "       19990901, 20000601, 20000701, 20000801, 20000901, 20010601, 20010701,\n",
       "       20010801, 20010901, 20020601, 20020701, 20020801, 20020901, 20030601,\n",
       "       20030701, 20030801, 20030901, 20040601, 20040701, 20040801, 20040901,\n",
       "       20050601, 20050701, 20050801, 20050901], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 1 days ... 1 days 1 days</div><input id='attrs-7edb0318-92c6-4a50-a201-292d4cd6183b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7edb0318-92c6-4a50-a201-292d4cd6183b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bf093c8-01c4-4b1e-a7c4-d7e6efd23c8f' class='xr-var-data-in' type='checkbox'><label for='data-0bf093c8-01c4-4b1e-a7c4-d7e6efd23c8f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000],\n",
       "      dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-596ace81-978d-406a-b80f-1f038a342732' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-596ace81-978d-406a-b80f-1f038a342732' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0931e03-e3b3-4467-abf5-69d92f57d16e' class='xr-var-data-in' type='checkbox'><label for='data-d0931e03-e3b3-4467-abf5-69d92f57d16e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>[18432000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-774ac69c-4df8-44fe-b0a9-2b4876b51c5b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-774ac69c-4df8-44fe-b0a9-2b4876b51c5b' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 32, lat: 400, lon: 1440)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2005-09-01\n",
       "  * lat      (lat) float32 -49.88 -49.62 -49.38 -49.12 ... 49.38 49.62 49.88\n",
       "  * lon      (lon) float32 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20050801 20050901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting only JJAS months\n",
    "\n",
    "def is_jjas(month):\n",
    "    return (month >= 6) & (month <= 9)\n",
    "\n",
    "jjas_data = data.sel(time=is_jjas(data['time.month']))\n",
    "\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "735515f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.latitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fd310367",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.longitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2a9644bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<defs>\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 32, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2005-09-01\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20050801 20050901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 0.4308 0.3221 0.2765 ... 0.1774 0.1441\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-505db946-4909-4c14-996b-3777507fbd5d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-505db946-4909-4c14-996b-3777507fbd5d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 32</li><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9a49248f-74c3-40e9-82b6-74989a11aeed' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9a49248f-74c3-40e9-82b6-74989a11aeed' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-06-01 ... 2005-09-01</div><input id='attrs-d6755c9d-9150-4c15-87a8-927ab1d1a21d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d6755c9d-9150-4c15-87a8-927ab1d1a21d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1365301-6231-4f3e-b9dc-bf177913b903' class='xr-var-data-in' type='checkbox'><label for='data-c1365301-6231-4f3e-b9dc-bf177913b903' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-06-01T00:00:00.000000000&#x27;, &#x27;1998-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-01T00:00:00.000000000&#x27;, &#x27;1998-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-01T00:00:00.000000000&#x27;, &#x27;1999-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-01T00:00:00.000000000&#x27;, &#x27;2000-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-01T00:00:00.000000000&#x27;, &#x27;2001-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-01T00:00:00.000000000&#x27;, &#x27;2002-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-01T00:00:00.000000000&#x27;, &#x27;2002-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-01T00:00:00.000000000&#x27;, &#x27;2003-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-01T00:00:00.000000000&#x27;, &#x27;2004-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-01T00:00:00.000000000&#x27;, &#x27;2004-09-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-01T00:00:00.000000000&#x27;, &#x27;2005-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-ffcd6789-8b69-4258-857b-58758a545883' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffcd6789-8b69-4258-857b-58758a545883' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da110843-db65-4ef8-b1ea-581c1c6b3cba' class='xr-var-data-in' type='checkbox'><label for='data-da110843-db65-4ef8-b1ea-581c1c6b3cba' title='Show/Hide data 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-97c675ce-e497-4855-b93d-71234e929405' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97c675ce-e497-4855-b93d-71234e929405' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-437b2f5d-b209-4ba9-a69f-26e07fefb497' class='xr-var-data-in' type='checkbox'><label for='data-437b2f5d-b209-4ba9-a69f-26e07fefb497' title='Show/Hide data 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-77387372-60e3-4e67-9bf6-9f5e265fe73c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-77387372-60e3-4e67-9bf6-9f5e265fe73c' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>date</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>19980601 19980701 ... 20050901</div><input id='attrs-2769f8dc-d697-4abe-8696-ac74f9eba92a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2769f8dc-d697-4abe-8696-ac74f9eba92a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0f851c4-00d3-464a-b232-e2099b5d0e06' class='xr-var-data-in' type='checkbox'><label for='data-b0f851c4-00d3-464a-b232-e2099b5d0e06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>yyyymmdd</dd><dt><span>long_name :</span></dt><dd>current date</dd></dl></div><div class='xr-var-data'><pre>array([19980601, 19980701, 19980801, 19980901, 19990601, 19990701, 19990801,\n",
       "       19990901, 20000601, 20000701, 20000801, 20000901, 20010601, 20010701,\n",
       "       20010801, 20010901, 20020601, 20020701, 20020801, 20020901, 20030601,\n",
       "       20030701, 20030801, 20030901, 20040601, 20040701, 20040801, 20040901,\n",
       "       20050601, 20050701, 20050801, 20050901], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>datesec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 1 days ... 1 days 1 days</div><input id='attrs-6248f256-c7f4-4e08-84dc-cf92e59452be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6248f256-c7f4-4e08-84dc-cf92e59452be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abada3e0-3d7e-4096-9b1b-31504c7966b3' class='xr-var-data-in' type='checkbox'><label for='data-abada3e0-3d7e-4096-9b1b-31504c7966b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd></dl></div><div class='xr-var-data'><pre>array([86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000,\n",
       "       86400000000000, 86400000000000, 86400000000000, 86400000000000],\n",
       "      dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precip</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8112561d-4008-4b75-a14b-de0c61e9c5a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8112561d-4008-4b75-a14b-de0c61e9c5a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a3d9746-2e0a-4a45-b0a0-3be56ad7e17b' class='xr-var-data-in' type='checkbox'><label for='data-7a3d9746-2e0a-4a45-b0a0-3be56ad7e17b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>avg_period :</span></dt><dd>0000-00-00 01:00:00</dd><dt><span>delta_t :</span></dt><dd>0000-00-00 03:00:00</dd><dt><span>units :</span></dt><dd>mm/h</dd><dt><span>hdf_name :</span></dt><dd>precipitation</dd></dl></div><div class='xr-var-data'><pre>array([[[0.430781, 0.322124, ..., 0.690971, 0.511044],\n",
       "        [0.346458, 0.285885, ..., 0.714057, 0.530204],\n",
       "        ...,\n",
       "        [0.210538, 0.242568, ..., 0.347411, 0.416681],\n",
       "        [0.231942, 0.248441, ..., 0.34638 , 0.382962]],\n",
       "\n",
       "       [[0.370449, 0.34102 , ..., 0.74982 , 1.003079],\n",
       "        [0.40649 , 0.328449, ..., 0.751424, 0.942093],\n",
       "        ...,\n",
       "        [0.206243, 0.196804, ..., 0.361962, 0.420819],\n",
       "        [0.202383, 0.187006, ..., 0.371911, 0.389453]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[0.248589, 0.281734, ..., 0.62056 , 0.201447],\n",
       "        [0.287298, 0.351694, ..., 0.594927, 0.229043],\n",
       "        ...,\n",
       "        [0.499972, 0.483239, ..., 0.337055, 0.352355],\n",
       "        [0.421131, 0.390675, ..., 0.31433 , 0.312789]],\n",
       "\n",
       "       [[0.905021, 0.772218, ..., 0.321426, 0.106503],\n",
       "        [0.790125, 0.811464, ..., 0.312985, 0.139072],\n",
       "        ...,\n",
       "        [0.144173, 0.128717, ..., 0.154787, 0.14331 ],\n",
       "        [0.084575, 0.081424, ..., 0.177377, 0.144111]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-149593a7-20f6-4864-bcab-4760303eb21a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-149593a7-20f6-4864-bcab-4760303eb21a' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Thu Nov  5 16:19:03 CET 2009</dd><dt><span>Conventions :</span></dt><dd>None</dd><dt><span>source_html :</span></dt><dd>\n",
       "http://disc.sci.gsfc.nasa.gov/data/datapool/TRMM/01_Data_Products/02_Gridded/06_3-hour_Gpi_Cal_3B_42/index.html\n",
       "</dd><dt><span>title :</span></dt><dd>TRMM: 3B43</dd><dt><span>history :</span></dt><dd>Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc 3B43.1999.nc 3B43.2000.nc 3B43.2001.nc 3B43.2002.nc 3B43.2003.nc 3B43.2004.nc 3B43.2005.nc 3B43.2006.nc 3B43.2007.nc 3B43.2008.nc 3B43.1998_2008.nc\n",
       "Thu Nov  5 16:26:03 2009: ncrcat 3B43.19980101.nc 3B43.19980201.nc 3B43.19980301.nc 3B43.19980401.nc 3B43.19980501.nc 3B43.19980601.nc 3B43.19980701.nc 3B43.19980801.nc 3B43.19980901.nc 3B43.19981001.nc 3B43.19981101.nc 3B43.19981201.nc 3B43.1998.nc</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 32, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1998-06-01 1998-07-01 ... 2005-09-01\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "Data variables:\n",
       "    date     (time) int32 19980601 19980701 19980801 ... 20050801 20050901\n",
       "    datesec  (time) timedelta64[ns] 1 days 1 days 1 days ... 1 days 1 days\n",
       "    precip   (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:             Thu Nov  5 16:19:03 CET 2009\n",
       "    Conventions:               None\n",
       "    source_html:               \\nhttp://disc.sci.gsfc.nasa.gov/data/datapool/...\n",
       "    title:                     TRMM: 3B43\n",
       "    history:                   Thu Nov  5 16:26:10 2009: ncrcat 3B43.1998.nc ...\n",
       "    nco_openmp_thread_number:  1"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the x and y coordinates\n",
    "jjas_data = jjas_data.sel(lon=slice(86,94),lat=slice(18,28))\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "91600dec",
   "metadata": {},
   "outputs": [],
   "source": [
    "#interpolating to low resolution \n",
    "#new_lon=np.arange(86,94,0.5625)\n",
    "#new_lat=np.arange(17,28,.556914)\n",
    "#jjas_data = jjas_data.interp(longitude=new_lon,latitude=new_lat)\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "82d6b5d0",
   "metadata": {},
   "outputs": [
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       "\n",
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       "\n",
       ".xr-attrs dt:hover span {\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "  display: inline-block;\n",
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       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precip&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[0.36424097, 0.37230343, 0.37556937, ..., 0.9275374 , 0.8777441 ,\n",
       "        0.7401172 ],\n",
       "       [0.3488904 , 0.3580809 , 0.37171277, ..., 0.8381174 , 0.8546289 ,\n",
       "        0.7661515 ],\n",
       "       [0.35725656, 0.38105756, 0.38026428, ..., 0.7783064 , 0.7250169 ,\n",
       "        0.7301341 ],\n",
       "       ...,\n",
       "       [0.30676398, 0.28645703, 0.2692595 , ..., 0.3147538 , 0.3260526 ,\n",
       "        0.37545067],\n",
       "       [0.31019294, 0.28211737, 0.25408417, ..., 0.2937004 , 0.295968  ,\n",
       "        0.31669715],\n",
       "       [0.27611408, 0.25033024, 0.2144223 , ..., 0.30539277, 0.3226247 ,\n",
       "        0.3085496 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'precip'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 40</li><li><span class='xr-has-index'>lon</span>: 32</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-831a11d1-e5c4-4d55-b27f-b4f9949d3aa7' class='xr-array-in' type='checkbox' checked><label for='section-831a11d1-e5c4-4d55-b27f-b4f9949d3aa7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.3642 0.3723 0.3756 0.392 0.4062 ... 0.2879 0.3054 0.3226 0.3085</span></div><div class='xr-array-data'><pre>array([[0.36424097, 0.37230343, 0.37556937, ..., 0.9275374 , 0.8777441 ,\n",
       "        0.7401172 ],\n",
       "       [0.3488904 , 0.3580809 , 0.37171277, ..., 0.8381174 , 0.8546289 ,\n",
       "        0.7661515 ],\n",
       "       [0.35725656, 0.38105756, 0.38026428, ..., 0.7783064 , 0.7250169 ,\n",
       "        0.7301341 ],\n",
       "       ...,\n",
       "       [0.30676398, 0.28645703, 0.2692595 , ..., 0.3147538 , 0.3260526 ,\n",
       "        0.37545067],\n",
       "       [0.31019294, 0.28211737, 0.25408417, ..., 0.2937004 , 0.295968  ,\n",
       "        0.31669715],\n",
       "       [0.27611408, 0.25033024, 0.2144223 , ..., 0.30539277, 0.3226247 ,\n",
       "        0.3085496 ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-18e07160-23bd-48ce-bd2c-e29e8de70c1f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-18e07160-23bd-48ce-bd2c-e29e8de70c1f' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>18.12 18.38 18.62 ... 27.62 27.88</div><input id='attrs-2dee72cf-2d6a-47b3-ad25-dd4c19d78231' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2dee72cf-2d6a-47b3-ad25-dd4c19d78231' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ef2be4d-3eb5-43f5-b622-a78d213140d5' class='xr-var-data-in' type='checkbox'><label for='data-0ef2be4d-3eb5-43f5-b622-a78d213140d5' title='Show/Hide data 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-f1160fea-5432-4a12-aa77-3b8884cc431c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1160fea-5432-4a12-aa77-3b8884cc431c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0094532a-800f-495b-91d5-6d3bd1254dd4' class='xr-var-data-in' type='checkbox'><label for='data-0094532a-800f-495b-91d5-6d3bd1254dd4' title='Show/Hide data 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-61d04e85-d1ba-48a1-aeff-d9dff9694975' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-61d04e85-d1ba-48a1-aeff-d9dff9694975' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'precip' (lat: 40, lon: 32)>\n",
       "array([[0.36424097, 0.37230343, 0.37556937, ..., 0.9275374 , 0.8777441 ,\n",
       "        0.7401172 ],\n",
       "       [0.3488904 , 0.3580809 , 0.37171277, ..., 0.8381174 , 0.8546289 ,\n",
       "        0.7661515 ],\n",
       "       [0.35725656, 0.38105756, 0.38026428, ..., 0.7783064 , 0.7250169 ,\n",
       "        0.7301341 ],\n",
       "       ...,\n",
       "       [0.30676398, 0.28645703, 0.2692595 , ..., 0.3147538 , 0.3260526 ,\n",
       "        0.37545067],\n",
       "       [0.31019294, 0.28211737, 0.25408417, ..., 0.2937004 , 0.295968  ,\n",
       "        0.31669715],\n",
       "       [0.27611408, 0.25033024, 0.2144223 , ..., 0.30539277, 0.3226247 ,\n",
       "        0.3085496 ]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88\n",
       "  * lon      (lon) float32 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.precip.mean('time')\n",
    " \n",
    "jjas_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6d00cba7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#changing unit from mm/month to mm/day\n",
    "pr_mm = jjas_mean*24\n",
    " \n",
    "\n",
    "\n",
    "trmm = pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b6d9b2b3",
   "metadata": {},
   "outputs": [
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       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 1872, bnds: 2, lat: 96, lon: 144)\n",
       "Coordinates:\n",
       "  * time       (time) object 1850-01-16 12:00:00 ... 2005-12-16 12:00:00\n",
       "  * lat        (lat) float64 -90.0 -88.11 -86.21 -84.32 ... 86.21 88.11 90.0\n",
       "  * lon        (lon) float64 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1850-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -89.05 -89.05 ... 89.05 89.05 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -1.25 1.25 1.25 3.75 ... 356.2 356.2 358.8\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/26)\n",
       "    institution:            Norwegian Climate Centre\n",
       "    institute_id:           NCC\n",
       "    experiment_id:          historical\n",
       "    source:                 NorESM1-M 2011  atmosphere: CAM-Oslo (CAM4-Oslo-n...\n",
       "    model_id:               NorESM1-M\n",
       "    forcing:                GHG, SA, Oz, Sl, Vl, BC, OC\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...\n",
       "    title:                  NorESM1-M model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.6.0</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-4b6ae89c-83ae-4ecf-b9d7-f69612f3127e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4b6ae89c-83ae-4ecf-b9d7-f69612f3127e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1872</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 96</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8586f9c2-0eb6-4c94-a296-b168c0fc054d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8586f9c2-0eb6-4c94-a296-b168c0fc054d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1850-01-16 12:00:00 ... 2005-12-...</div><input id='attrs-b46e819f-78bf-4365-92de-a6cb6053324f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b46e819f-78bf-4365-92de-a6cb6053324f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d071c934-cbdc-4d2b-a92f-023fcacb1bee' class='xr-var-data-in' type='checkbox'><label for='data-d071c934-cbdc-4d2b-a92f-023fcacb1bee' title='Show/Hide data 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>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(1850, 1, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1850, 2, 15, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(1850, 3, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeNoLeap(2005, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2005, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2005, 12, 16, 12, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.11 -86.21 ... 88.11 90.0</div><input id='attrs-7f4cb5e5-a841-4eb4-98a6-db6d9c7d498a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f4cb5e5-a841-4eb4-98a6-db6d9c7d498a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1321261-a320-4de6-9aa1-fc119874921b' class='xr-var-data-in' type='checkbox'><label for='data-e1321261-a320-4de6-9aa1-fc119874921b' title='Show/Hide data 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.      , -88.105263, -86.210526, -84.315789, -82.421053, -80.526316,\n",
       "       -78.631579, -76.736842, -74.842105, -72.947368, -71.052632, -69.157895,\n",
       "       -67.263158, -65.368421, -63.473684, -61.578947, -59.684211, -57.789474,\n",
       "       -55.894737, -54.      , -52.105263, -50.210526, -48.315789, -46.421053,\n",
       "       -44.526316, -42.631579, -40.736842, -38.842105, -36.947368, -35.052632,\n",
       "       -33.157895, -31.263158, -29.368421, -27.473684, -25.578947, -23.684211,\n",
       "       -21.789474, -19.894737, -18.      , -16.105263, -14.210526, -12.315789,\n",
       "       -10.421053,  -8.526316,  -6.631579,  -4.736842,  -2.842105,  -0.947368,\n",
       "         0.947368,   2.842105,   4.736842,   6.631579,   8.526316,  10.421053,\n",
       "        12.315789,  14.210526,  16.105263,  18.      ,  19.894737,  21.789474,\n",
       "        23.684211,  25.578947,  27.473684,  29.368421,  31.263158,  33.157895,\n",
       "        35.052632,  36.947368,  38.842105,  40.736842,  42.631579,  44.526316,\n",
       "        46.421053,  48.315789,  50.210526,  52.105263,  54.      ,  55.894737,\n",
       "        57.789474,  59.684211,  61.578947,  63.473684,  65.368421,  67.263158,\n",
       "        69.157895,  71.052632,  72.947368,  74.842105,  76.736842,  78.631579,\n",
       "        80.526316,  82.421053,  84.315789,  86.210526,  88.105263,  90.      ])</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'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-5d909b3b-f362-42f2-8994-b893bbd8d2bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d909b3b-f362-42f2-8994-b893bbd8d2bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f76ef2ed-33a1-4642-881c-619cc5f5138f' class='xr-var-data-in' type='checkbox'><label for='data-f76ef2ed-33a1-4642-881c-619cc5f5138f' title='Show/Hide data 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-852d687e-b7a9-41f4-b3c7-55f210490366' class='xr-section-summary-in' type='checkbox'  checked><label for='section-852d687e-b7a9-41f4-b3c7-55f210490366' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>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-d69db1c0-2d5a-4f1e-ba54-2154da7c783c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d69db1c0-2d5a-4f1e-ba54-2154da7c783c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f719746-136f-4822-a28f-722f6a2f3fdd' class='xr-var-data-in' type='checkbox'><label for='data-5f719746-136f-4822-a28f-722f6a2f3fdd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1850, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2393d53b-7076-4acd-9dec-398271e491f7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2393d53b-7076-4acd-9dec-398271e491f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2839ffdf-8265-4de9-9d76-6f360ae504e7' class='xr-var-data-in' type='checkbox'><label for='data-2839ffdf-8265-4de9-9d76-6f360ae504e7' title='Show/Hide data 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([[-90.      , -89.052632],\n",
       "       [-89.052632, -87.157895],\n",
       "       [-87.157895, -85.263158],\n",
       "       [-85.263158, -83.368421],\n",
       "       [-83.368421, -81.473684],\n",
       "       [-81.473684, -79.578947],\n",
       "       [-79.578947, -77.684211],\n",
       "       [-77.684211, -75.789474],\n",
       "       [-75.789474, -73.894737],\n",
       "       [-73.894737, -72.      ],\n",
       "       [-72.      , -70.105263],\n",
       "       [-70.105263, -68.210526],\n",
       "       [-68.210526, -66.315789],\n",
       "       [-66.315789, -64.421053],\n",
       "       [-64.421053, -62.526316],\n",
       "       [-62.526316, -60.631579],\n",
       "       [-60.631579, -58.736842],\n",
       "       [-58.736842, -56.842105],\n",
       "       [-56.842105, -54.947368],\n",
       "       [-54.947368, -53.052632],\n",
       "       [-53.052632, -51.157895],\n",
       "       [-51.157895, -49.263158],\n",
       "       [-49.263158, -47.368421],\n",
       "       [-47.368421, -45.473684],\n",
       "       [-45.473684, -43.578947],\n",
       "       [-43.578947, -41.684211],\n",
       "       [-41.684211, -39.789474],\n",
       "       [-39.789474, -37.894737],\n",
       "       [-37.894737, -36.      ],\n",
       "       [-36.      , -34.105263],\n",
       "       [-34.105263, -32.210526],\n",
       "       [-32.210526, -30.315789],\n",
       "       [-30.315789, -28.421053],\n",
       "       [-28.421053, -26.526316],\n",
       "       [-26.526316, -24.631579],\n",
       "       [-24.631579, -22.736842],\n",
       "       [-22.736842, -20.842105],\n",
       "       [-20.842105, -18.947368],\n",
       "       [-18.947368, -17.052632],\n",
       "       [-17.052632, -15.157895],\n",
       "       [-15.157895, -13.263158],\n",
       "       [-13.263158, -11.368421],\n",
       "       [-11.368421,  -9.473684],\n",
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       "       [  3.789474,   5.684211],\n",
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       "       [  9.473684,  11.368421],\n",
       "       [ 11.368421,  13.263158],\n",
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       "       [ 17.052632,  18.947368],\n",
       "       [ 18.947368,  20.842105],\n",
       "       [ 20.842105,  22.736842],\n",
       "       [ 22.736842,  24.631579],\n",
       "       [ 24.631579,  26.526316],\n",
       "       [ 26.526316,  28.421053],\n",
       "       [ 28.421053,  30.315789],\n",
       "       [ 30.315789,  32.210526],\n",
       "       [ 32.210526,  34.105263],\n",
       "       [ 34.105263,  36.      ],\n",
       "       [ 36.      ,  37.894737],\n",
       "       [ 37.894737,  39.789474],\n",
       "       [ 39.789474,  41.684211],\n",
       "       [ 41.684211,  43.578947],\n",
       "       [ 43.578947,  45.473684],\n",
       "       [ 45.473684,  47.368421],\n",
       "       [ 47.368421,  49.263158],\n",
       "       [ 49.263158,  51.157895],\n",
       "       [ 51.157895,  53.052632],\n",
       "       [ 53.052632,  54.947368],\n",
       "       [ 54.947368,  56.842105],\n",
       "       [ 56.842105,  58.736842],\n",
       "       [ 58.736842,  60.631579],\n",
       "       [ 60.631579,  62.526316],\n",
       "       [ 62.526316,  64.421053],\n",
       "       [ 64.421053,  66.315789],\n",
       "       [ 66.315789,  68.210526],\n",
       "       [ 68.210526,  70.105263],\n",
       "       [ 70.105263,  72.      ],\n",
       "       [ 72.      ,  73.894737],\n",
       "       [ 73.894737,  75.789474],\n",
       "       [ 75.789474,  77.684211],\n",
       "       [ 77.684211,  79.578947],\n",
       "       [ 79.578947,  81.473684],\n",
       "       [ 81.473684,  83.368421],\n",
       "       [ 83.368421,  85.263158],\n",
       "       [ 85.263158,  87.157895],\n",
       "       [ 87.157895,  89.052632],\n",
       "       [ 89.052632,  90.      ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5ad8f402-f537-4d85-b206-74efe8021d5f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5ad8f402-f537-4d85-b206-74efe8021d5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc2532ce-c9c9-4835-825b-107e875f3bb4' class='xr-var-data-in' type='checkbox'><label for='data-fc2532ce-c9c9-4835-825b-107e875f3bb4' title='Show/Hide data 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([[ -1.25,   1.25],\n",
       "       [  1.25,   3.75],\n",
       "       [  3.75,   6.25],\n",
       "       ...,\n",
       "       [351.25, 353.75],\n",
       "       [353.75, 356.25],\n",
       "       [356.25, 358.75]])</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-14374572-5325-431f-812f-43486eda1198' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14374572-5325-431f-812f-43486eda1198' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2e71ba3-d56c-4ce6-8b4d-288ab3333adf' class='xr-var-data-in' type='checkbox'><label for='data-c2e71ba3-d56c-4ce6-8b4d-288ab3333adf' title='Show/Hide data 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>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>original_name :</span></dt><dd>PRECT</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-06-01T05:45:35Z altered by CMOR: Converted type from &#x27;d&#x27; to &#x27;f&#x27;.</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_NorESM1-M_historical_r0i0p0.nc areacella: areacella_fx_NorESM1-M_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[25878528 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-55e7cf18-11f5-4ece-b8fd-d789be10b5ec' class='xr-section-summary-in' type='checkbox'  ><label for='section-55e7cf18-11f5-4ece-b8fd-d789be10b5ec' class='xr-section-summary' >Attributes: <span>(26)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>Norwegian Climate Centre</dd><dt><span>institute_id :</span></dt><dd>NCC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>NorESM1-M 2011  atmosphere: CAM-Oslo (CAM4-Oslo-noresm-ver1_cmip5-r112, f19L26);  ocean: MICOM (MICOM-noresm-ver1_cmip5-r112, gx1v6L53);  sea ice: CICE (CICE4-noresm-ver1_cmip5-r112);  land: CLM (CLM4-noresm-ver1_cmip5-r112)</dd><dt><span>model_id :</span></dt><dd>NorESM1-M</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, Sl, Vl, BC, OC</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>255135.0</dd><dt><span>contact :</span></dt><dd>Please send any requests or bug reports to noresm-ncc@met.no.</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>5ccde64e-cfe8-47f6-9de8-9ea1621e7781</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-06-01T05:45:35Z</dd><dt><span>history :</span></dt><dd>2011-06-01T05:45:35Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) a5a1c518f52ae340313ba0aada03f862</dd><dt><span>title :</span></dt><dd>NorESM1-M model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.6.0</dd></dl></div></li></ul></div></div>"
      ],
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       "<xarray.Dataset>\n",
       "Dimensions:    (time: 1872, bnds: 2, lat: 96, lon: 144)\n",
       "Coordinates:\n",
       "  * time       (time) object 1850-01-16 12:00:00 ... 2005-12-16 12:00:00\n",
       "  * lat        (lat) float64 -90.0 -88.11 -86.21 -84.32 ... 86.21 88.11 90.0\n",
       "  * lon        (lon) float64 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object ...\n",
       "    lat_bnds   (lat, bnds) float64 ...\n",
       "    lon_bnds   (lon, bnds) float64 ...\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/26)\n",
       "    institution:            Norwegian Climate Centre\n",
       "    institute_id:           NCC\n",
       "    experiment_id:          historical\n",
       "    source:                 NorESM1-M 2011  atmosphere: CAM-Oslo (CAM4-Oslo-n...\n",
       "    model_id:               NorESM1-M\n",
       "    forcing:                GHG, SA, Oz, Sl, Vl, BC, OC\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...\n",
       "    title:                  NorESM1-M model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.6.0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " #opening gcm noresm data\n",
    "\n",
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/GCM/Noresm1-M/pr_Amon_NorESM1-M_historical_r1i1p1_185001-200512.nc')\n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e0f877d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/mkibria/miniconda3/envs/esp-sp/lib/python3.9/site-packages/xarray/coding/times.py:351: FutureWarning: Index.ravel returning ndarray is deprecated; in a future version this will return a view on self.\n",
      "  sample = dates.ravel()[0]\n",
      "/tmp/ipykernel_27729/1463838701.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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       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 1872, bnds: 2, lat: 96, lon: 144)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1850-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "  * lat        (lat) float64 -90.0 -88.11 -86.21 -84.32 ... 86.21 88.11 90.0\n",
       "  * lon        (lon) float64 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1850-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -89.05 -89.05 ... 89.05 89.05 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -1.25 1.25 1.25 3.75 ... 356.2 356.2 358.8\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/26)\n",
       "    institution:            Norwegian Climate Centre\n",
       "    institute_id:           NCC\n",
       "    experiment_id:          historical\n",
       "    source:                 NorESM1-M 2011  atmosphere: CAM-Oslo (CAM4-Oslo-n...\n",
       "    model_id:               NorESM1-M\n",
       "    forcing:                GHG, SA, Oz, Sl, Vl, BC, OC\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...\n",
       "    title:                  NorESM1-M model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.6.0</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-7ffb9763-e0f7-420c-bde8-4c0d51726392' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7ffb9763-e0f7-420c-bde8-4c0d51726392' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1872</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 96</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fc35126d-442b-4f72-8cf4-b158d397456b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fc35126d-442b-4f72-8cf4-b158d397456b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1850-01-16T12:00:00 ... 2005-12-...</div><input id='attrs-9302124d-19be-4eb2-b1de-62c074f0af78' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9302124d-19be-4eb2-b1de-62c074f0af78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d30ec570-dcdf-44a4-bece-c05ccd3cc403' class='xr-var-data-in' type='checkbox'><label for='data-d30ec570-dcdf-44a4-bece-c05ccd3cc403' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1850-01-16T12:00:00.000000000&#x27;, &#x27;1850-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1850-03-16T12:00:00.000000000&#x27;, ..., &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-16T00:00:00.000000000&#x27;, &#x27;2005-12-16T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.11 -86.21 ... 88.11 90.0</div><input id='attrs-e367d505-e233-4c83-bddc-6bcdd04fd80a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e367d505-e233-4c83-bddc-6bcdd04fd80a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b21326af-c7a9-4936-be1c-872b6810764c' class='xr-var-data-in' type='checkbox'><label for='data-b21326af-c7a9-4936-be1c-872b6810764c' title='Show/Hide data 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.      , -88.105263, -86.210526, -84.315789, -82.421053, -80.526316,\n",
       "       -78.631579, -76.736842, -74.842105, -72.947368, -71.052632, -69.157895,\n",
       "       -67.263158, -65.368421, -63.473684, -61.578947, -59.684211, -57.789474,\n",
       "       -55.894737, -54.      , -52.105263, -50.210526, -48.315789, -46.421053,\n",
       "       -44.526316, -42.631579, -40.736842, -38.842105, -36.947368, -35.052632,\n",
       "       -33.157895, -31.263158, -29.368421, -27.473684, -25.578947, -23.684211,\n",
       "       -21.789474, -19.894737, -18.      , -16.105263, -14.210526, -12.315789,\n",
       "       -10.421053,  -8.526316,  -6.631579,  -4.736842,  -2.842105,  -0.947368,\n",
       "         0.947368,   2.842105,   4.736842,   6.631579,   8.526316,  10.421053,\n",
       "        12.315789,  14.210526,  16.105263,  18.      ,  19.894737,  21.789474,\n",
       "        23.684211,  25.578947,  27.473684,  29.368421,  31.263158,  33.157895,\n",
       "        35.052632,  36.947368,  38.842105,  40.736842,  42.631579,  44.526316,\n",
       "        46.421053,  48.315789,  50.210526,  52.105263,  54.      ,  55.894737,\n",
       "        57.789474,  59.684211,  61.578947,  63.473684,  65.368421,  67.263158,\n",
       "        69.157895,  71.052632,  72.947368,  74.842105,  76.736842,  78.631579,\n",
       "        80.526316,  82.421053,  84.315789,  86.210526,  88.105263,  90.      ])</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'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-a83aa7d4-ba14-4c9c-ac91-8ea27359e76b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a83aa7d4-ba14-4c9c-ac91-8ea27359e76b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b9e42fc-f6c1-4d7d-b126-2700a90298f9' class='xr-var-data-in' type='checkbox'><label for='data-9b9e42fc-f6c1-4d7d-b126-2700a90298f9' title='Show/Hide data 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-97137502-2b5c-45f7-99d6-38489118837b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-97137502-2b5c-45f7-99d6-38489118837b' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1850-01-01 00:00:00 ... 2006-01-...</div><input id='attrs-085587fd-6768-4594-8ed4-5727a14b6794' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-085587fd-6768-4594-8ed4-5727a14b6794' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9169b25-fc1e-4bf8-9af8-aa449b457b89' class='xr-var-data-in' type='checkbox'><label for='data-f9169b25-fc1e-4bf8-9af8-aa449b457b89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1850, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1850, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1850, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2006, 1, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.05 -89.05 ... 89.05 90.0</div><input id='attrs-fe2019a8-0850-4646-9953-c71bb97b9149' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fe2019a8-0850-4646-9953-c71bb97b9149' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e526ec23-6cc3-4fb7-b9ef-38a410f28080' class='xr-var-data-in' type='checkbox'><label for='data-e526ec23-6cc3-4fb7-b9ef-38a410f28080' title='Show/Hide data 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([[-90.      , -89.052632],\n",
       "       [-89.052632, -87.157895],\n",
       "       [-87.157895, -85.263158],\n",
       "       [-85.263158, -83.368421],\n",
       "       [-83.368421, -81.473684],\n",
       "       [-81.473684, -79.578947],\n",
       "       [-79.578947, -77.684211],\n",
       "       [-77.684211, -75.789474],\n",
       "       [-75.789474, -73.894737],\n",
       "       [-73.894737, -72.      ],\n",
       "       [-72.      , -70.105263],\n",
       "       [-70.105263, -68.210526],\n",
       "       [-68.210526, -66.315789],\n",
       "       [-66.315789, -64.421053],\n",
       "       [-64.421053, -62.526316],\n",
       "       [-62.526316, -60.631579],\n",
       "       [-60.631579, -58.736842],\n",
       "       [-58.736842, -56.842105],\n",
       "       [-56.842105, -54.947368],\n",
       "       [-54.947368, -53.052632],\n",
       "       [-53.052632, -51.157895],\n",
       "       [-51.157895, -49.263158],\n",
       "       [-49.263158, -47.368421],\n",
       "       [-47.368421, -45.473684],\n",
       "       [-45.473684, -43.578947],\n",
       "       [-43.578947, -41.684211],\n",
       "       [-41.684211, -39.789474],\n",
       "       [-39.789474, -37.894737],\n",
       "       [-37.894737, -36.      ],\n",
       "       [-36.      , -34.105263],\n",
       "       [-34.105263, -32.210526],\n",
       "       [-32.210526, -30.315789],\n",
       "       [-30.315789, -28.421053],\n",
       "       [-28.421053, -26.526316],\n",
       "       [-26.526316, -24.631579],\n",
       "       [-24.631579, -22.736842],\n",
       "       [-22.736842, -20.842105],\n",
       "       [-20.842105, -18.947368],\n",
       "       [-18.947368, -17.052632],\n",
       "       [-17.052632, -15.157895],\n",
       "       [-15.157895, -13.263158],\n",
       "       [-13.263158, -11.368421],\n",
       "       [-11.368421,  -9.473684],\n",
       "       [ -9.473684,  -7.578947],\n",
       "       [ -7.578947,  -5.684211],\n",
       "       [ -5.684211,  -3.789474],\n",
       "       [ -3.789474,  -1.894737],\n",
       "       [ -1.894737,   0.      ],\n",
       "       [  0.      ,   1.894737],\n",
       "       [  1.894737,   3.789474],\n",
       "       [  3.789474,   5.684211],\n",
       "       [  5.684211,   7.578947],\n",
       "       [  7.578947,   9.473684],\n",
       "       [  9.473684,  11.368421],\n",
       "       [ 11.368421,  13.263158],\n",
       "       [ 13.263158,  15.157895],\n",
       "       [ 15.157895,  17.052632],\n",
       "       [ 17.052632,  18.947368],\n",
       "       [ 18.947368,  20.842105],\n",
       "       [ 20.842105,  22.736842],\n",
       "       [ 22.736842,  24.631579],\n",
       "       [ 24.631579,  26.526316],\n",
       "       [ 26.526316,  28.421053],\n",
       "       [ 28.421053,  30.315789],\n",
       "       [ 30.315789,  32.210526],\n",
       "       [ 32.210526,  34.105263],\n",
       "       [ 34.105263,  36.      ],\n",
       "       [ 36.      ,  37.894737],\n",
       "       [ 37.894737,  39.789474],\n",
       "       [ 39.789474,  41.684211],\n",
       "       [ 41.684211,  43.578947],\n",
       "       [ 43.578947,  45.473684],\n",
       "       [ 45.473684,  47.368421],\n",
       "       [ 47.368421,  49.263158],\n",
       "       [ 49.263158,  51.157895],\n",
       "       [ 51.157895,  53.052632],\n",
       "       [ 53.052632,  54.947368],\n",
       "       [ 54.947368,  56.842105],\n",
       "       [ 56.842105,  58.736842],\n",
       "       [ 58.736842,  60.631579],\n",
       "       [ 60.631579,  62.526316],\n",
       "       [ 62.526316,  64.421053],\n",
       "       [ 64.421053,  66.315789],\n",
       "       [ 66.315789,  68.210526],\n",
       "       [ 68.210526,  70.105263],\n",
       "       [ 70.105263,  72.      ],\n",
       "       [ 72.      ,  73.894737],\n",
       "       [ 73.894737,  75.789474],\n",
       "       [ 75.789474,  77.684211],\n",
       "       [ 77.684211,  79.578947],\n",
       "       [ 79.578947,  81.473684],\n",
       "       [ 81.473684,  83.368421],\n",
       "       [ 83.368421,  85.263158],\n",
       "       [ 85.263158,  87.157895],\n",
       "       [ 87.157895,  89.052632],\n",
       "       [ 89.052632,  90.      ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.25 1.25 1.25 ... 356.2 358.8</div><input id='attrs-488edd53-39f8-4c6c-a888-2ebb60e5650b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-488edd53-39f8-4c6c-a888-2ebb60e5650b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-746d2b52-6f30-4b59-acca-53ceefd053f9' class='xr-var-data-in' type='checkbox'><label for='data-746d2b52-6f30-4b59-acca-53ceefd053f9' title='Show/Hide data 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([[ -1.25,   1.25],\n",
       "       [  1.25,   3.75],\n",
       "       [  3.75,   6.25],\n",
       "       ...,\n",
       "       [351.25, 353.75],\n",
       "       [353.75, 356.25],\n",
       "       [356.25, 358.75]])</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-9b002321-168e-46b3-b48e-6ddbe897079d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b002321-168e-46b3-b48e-6ddbe897079d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d8feb3d-5931-48c5-bf51-b8e68151e5a1' class='xr-var-data-in' type='checkbox'><label for='data-6d8feb3d-5931-48c5-bf51-b8e68151e5a1' title='Show/Hide data 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>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>original_name :</span></dt><dd>PRECT</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-06-01T05:45:35Z altered by CMOR: Converted type from &#x27;d&#x27; to &#x27;f&#x27;.</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_NorESM1-M_historical_r0i0p0.nc areacella: areacella_fx_NorESM1-M_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[25878528 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b6c74d1b-9a7b-46cd-bc95-ede9db469c4b' class='xr-section-summary-in' type='checkbox'  ><label for='section-b6c74d1b-9a7b-46cd-bc95-ede9db469c4b' class='xr-section-summary' >Attributes: <span>(26)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>Norwegian Climate Centre</dd><dt><span>institute_id :</span></dt><dd>NCC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>NorESM1-M 2011  atmosphere: CAM-Oslo (CAM4-Oslo-noresm-ver1_cmip5-r112, f19L26);  ocean: MICOM (MICOM-noresm-ver1_cmip5-r112, gx1v6L53);  sea ice: CICE (CICE4-noresm-ver1_cmip5-r112);  land: CLM (CLM4-noresm-ver1_cmip5-r112)</dd><dt><span>model_id :</span></dt><dd>NorESM1-M</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, Sl, Vl, BC, OC</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>255135.0</dd><dt><span>contact :</span></dt><dd>Please send any requests or bug reports to noresm-ncc@met.no.</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>5ccde64e-cfe8-47f6-9de8-9ea1621e7781</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-06-01T05:45:35Z</dd><dt><span>history :</span></dt><dd>2011-06-01T05:45:35Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) a5a1c518f52ae340313ba0aada03f862</dd><dt><span>title :</span></dt><dd>NorESM1-M model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.6.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 1872, bnds: 2, lat: 96, lon: 144)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1850-01-16T12:00:00 ... 2005-12-16T12:00:00\n",
       "  * lat        (lat) float64 -90.0 -88.11 -86.21 -84.32 ... 86.21 88.11 90.0\n",
       "  * lon        (lon) float64 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1850-01-01 00:00:00 ... 2006-01-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -89.05 -89.05 ... 89.05 89.05 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -1.25 1.25 1.25 3.75 ... 356.2 356.2 358.8\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/26)\n",
       "    institution:            Norwegian Climate Centre\n",
       "    institute_id:           NCC\n",
       "    experiment_id:          historical\n",
       "    source:                 NorESM1-M 2011  atmosphere: CAM-Oslo (CAM4-Oslo-n...\n",
       "    model_id:               NorESM1-M\n",
       "    forcing:                GHG, SA, Oz, Sl, Vl, BC, OC\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...\n",
       "    title:                  NorESM1-M model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.6.0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#changing time dim to datetime64[ns] dtype\n",
    "\n",
    "datetimeindex = data.indexes['time'].to_datetimeindex()\n",
    "data['time']=datetimeindex\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "cafd5692",
   "metadata": {},
   "outputs": [
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       ".xr-attrs dt {\n",
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       "  display: inline-block;\n",
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       "\n",
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       "  grid-column: 2;\n",
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       "  word-break: break-all;\n",
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       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 95, bnds: 2, lat: 96, lon: 144)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-01-16T12:00:00 ... 2005-11-16\n",
       "  * lat        (lat) float64 -90.0 -88.11 -86.21 -84.32 ... 86.21 88.11 90.0\n",
       "  * lon        (lon) float64 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1998-01-01 00:00:00 ... 2005-12-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -89.05 -89.05 ... 89.05 89.05 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -1.25 1.25 1.25 3.75 ... 356.2 356.2 358.8\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/26)\n",
       "    institution:            Norwegian Climate Centre\n",
       "    institute_id:           NCC\n",
       "    experiment_id:          historical\n",
       "    source:                 NorESM1-M 2011  atmosphere: CAM-Oslo (CAM4-Oslo-n...\n",
       "    model_id:               NorESM1-M\n",
       "    forcing:                GHG, SA, Oz, Sl, Vl, BC, OC\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...\n",
       "    title:                  NorESM1-M model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.6.0</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-42918750-7c72-4d20-b391-a36124c5338b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-42918750-7c72-4d20-b391-a36124c5338b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 95</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 96</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-23aa1ae6-08ee-4c59-8a47-78b8436076c5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-23aa1ae6-08ee-4c59-8a47-78b8436076c5' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-01-16T12:00:00 ... 2005-11-16</div><input id='attrs-dea1c7d8-7c2a-4bf6-896e-578769de9407' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dea1c7d8-7c2a-4bf6-896e-578769de9407' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90d52969-5a71-4c5e-b2b7-a72758750320' class='xr-var-data-in' type='checkbox'><label for='data-90d52969-5a71-4c5e-b2b7-a72758750320' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-01-16T12:00:00.000000000&#x27;, &#x27;1998-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-03-16T12:00:00.000000000&#x27;, &#x27;1998-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-05-16T12:00:00.000000000&#x27;, &#x27;1998-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-07-16T12:00:00.000000000&#x27;, &#x27;1998-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-09-16T00:00:00.000000000&#x27;, &#x27;1998-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-11-16T00:00:00.000000000&#x27;, &#x27;1998-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-01-16T12:00:00.000000000&#x27;, &#x27;1999-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-03-16T12:00:00.000000000&#x27;, &#x27;1999-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-05-16T12:00:00.000000000&#x27;, &#x27;1999-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-07-16T12:00:00.000000000&#x27;, &#x27;1999-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-09-16T00:00:00.000000000&#x27;, &#x27;1999-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-11-16T00:00:00.000000000&#x27;, &#x27;1999-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-01-16T12:00:00.000000000&#x27;, &#x27;2000-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-03-16T12:00:00.000000000&#x27;, &#x27;2000-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-05-16T12:00:00.000000000&#x27;, &#x27;2000-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-07-16T12:00:00.000000000&#x27;, &#x27;2000-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-09-16T00:00:00.000000000&#x27;, &#x27;2000-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-11-16T00:00:00.000000000&#x27;, &#x27;2000-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-01-16T12:00:00.000000000&#x27;, &#x27;2001-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-03-16T12:00:00.000000000&#x27;, &#x27;2001-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-05-16T12:00:00.000000000&#x27;, &#x27;2001-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-07-16T12:00:00.000000000&#x27;, &#x27;2001-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-09-16T00:00:00.000000000&#x27;, &#x27;2001-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-11-16T00:00:00.000000000&#x27;, &#x27;2001-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-01-16T12:00:00.000000000&#x27;, &#x27;2002-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-03-16T12:00:00.000000000&#x27;, &#x27;2002-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-05-16T12:00:00.000000000&#x27;, &#x27;2002-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-07-16T12:00:00.000000000&#x27;, &#x27;2002-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-09-16T00:00:00.000000000&#x27;, &#x27;2002-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-11-16T00:00:00.000000000&#x27;, &#x27;2002-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-01-16T12:00:00.000000000&#x27;, &#x27;2003-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-03-16T12:00:00.000000000&#x27;, &#x27;2003-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-05-16T12:00:00.000000000&#x27;, &#x27;2003-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-07-16T12:00:00.000000000&#x27;, &#x27;2003-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-09-16T00:00:00.000000000&#x27;, &#x27;2003-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-11-16T00:00:00.000000000&#x27;, &#x27;2003-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-01-16T12:00:00.000000000&#x27;, &#x27;2004-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-03-16T12:00:00.000000000&#x27;, &#x27;2004-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-05-16T12:00:00.000000000&#x27;, &#x27;2004-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-07-16T12:00:00.000000000&#x27;, &#x27;2004-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-09-16T00:00:00.000000000&#x27;, &#x27;2004-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-11-16T00:00:00.000000000&#x27;, &#x27;2004-12-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-01-16T12:00:00.000000000&#x27;, &#x27;2005-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-03-16T12:00:00.000000000&#x27;, &#x27;2005-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-05-16T12:00:00.000000000&#x27;, &#x27;2005-06-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-07-16T12:00:00.000000000&#x27;, &#x27;2005-08-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-09-16T00:00:00.000000000&#x27;, &#x27;2005-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-11-16T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.11 -86.21 ... 88.11 90.0</div><input id='attrs-4560254a-3054-4aea-8e87-cee05d72da2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4560254a-3054-4aea-8e87-cee05d72da2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1e467f8-366b-4357-ac5c-893a74d437b7' class='xr-var-data-in' type='checkbox'><label for='data-a1e467f8-366b-4357-ac5c-893a74d437b7' title='Show/Hide data 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.      , -88.105263, -86.210526, -84.315789, -82.421053, -80.526316,\n",
       "       -78.631579, -76.736842, -74.842105, -72.947368, -71.052632, -69.157895,\n",
       "       -67.263158, -65.368421, -63.473684, -61.578947, -59.684211, -57.789474,\n",
       "       -55.894737, -54.      , -52.105263, -50.210526, -48.315789, -46.421053,\n",
       "       -44.526316, -42.631579, -40.736842, -38.842105, -36.947368, -35.052632,\n",
       "       -33.157895, -31.263158, -29.368421, -27.473684, -25.578947, -23.684211,\n",
       "       -21.789474, -19.894737, -18.      , -16.105263, -14.210526, -12.315789,\n",
       "       -10.421053,  -8.526316,  -6.631579,  -4.736842,  -2.842105,  -0.947368,\n",
       "         0.947368,   2.842105,   4.736842,   6.631579,   8.526316,  10.421053,\n",
       "        12.315789,  14.210526,  16.105263,  18.      ,  19.894737,  21.789474,\n",
       "        23.684211,  25.578947,  27.473684,  29.368421,  31.263158,  33.157895,\n",
       "        35.052632,  36.947368,  38.842105,  40.736842,  42.631579,  44.526316,\n",
       "        46.421053,  48.315789,  50.210526,  52.105263,  54.      ,  55.894737,\n",
       "        57.789474,  59.684211,  61.578947,  63.473684,  65.368421,  67.263158,\n",
       "        69.157895,  71.052632,  72.947368,  74.842105,  76.736842,  78.631579,\n",
       "        80.526316,  82.421053,  84.315789,  86.210526,  88.105263,  90.      ])</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'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-13119cb0-8f50-4386-9a65-6e0525280c6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13119cb0-8f50-4386-9a65-6e0525280c6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f952227-b26b-4f20-a64b-5f549e6e1bbb' class='xr-var-data-in' type='checkbox'><label for='data-9f952227-b26b-4f20-a64b-5f549e6e1bbb' title='Show/Hide data 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fffef711-1113-48eb-b870-fd6471395cc5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fffef711-1113-48eb-b870-fd6471395cc5' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1998-01-01 00:00:00 ... 2005-12-...</div><input id='attrs-7d934f91-82dd-4ca9-8e85-e00bede6c007' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7d934f91-82dd-4ca9-8e85-e00bede6c007' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01d009eb-56b9-4d78-b911-f1e4147deb36' class='xr-var-data-in' type='checkbox'><label for='data-01d009eb-56b9-4d78-b911-f1e4147deb36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1998, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 4, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 5, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 6, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 4, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 5, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 6, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 4, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 5, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 6, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 4, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 5, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 6, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 4, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 5, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 6, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 4, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 5, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 6, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 4, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 5, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 6, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 4, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 5, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 6, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 12, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.05 -89.05 ... 89.05 90.0</div><input id='attrs-681c4824-5076-4a82-90b2-307e7606cbe2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-681c4824-5076-4a82-90b2-307e7606cbe2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1035cd94-8772-4b17-a0a6-89c38e3deaf2' class='xr-var-data-in' type='checkbox'><label for='data-1035cd94-8772-4b17-a0a6-89c38e3deaf2' title='Show/Hide data 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([[-90.      , -89.052632],\n",
       "       [-89.052632, -87.157895],\n",
       "       [-87.157895, -85.263158],\n",
       "       [-85.263158, -83.368421],\n",
       "       [-83.368421, -81.473684],\n",
       "       [-81.473684, -79.578947],\n",
       "       [-79.578947, -77.684211],\n",
       "       [-77.684211, -75.789474],\n",
       "       [-75.789474, -73.894737],\n",
       "       [-73.894737, -72.      ],\n",
       "       [-72.      , -70.105263],\n",
       "       [-70.105263, -68.210526],\n",
       "       [-68.210526, -66.315789],\n",
       "       [-66.315789, -64.421053],\n",
       "       [-64.421053, -62.526316],\n",
       "       [-62.526316, -60.631579],\n",
       "       [-60.631579, -58.736842],\n",
       "       [-58.736842, -56.842105],\n",
       "       [-56.842105, -54.947368],\n",
       "       [-54.947368, -53.052632],\n",
       "       [-53.052632, -51.157895],\n",
       "       [-51.157895, -49.263158],\n",
       "       [-49.263158, -47.368421],\n",
       "       [-47.368421, -45.473684],\n",
       "       [-45.473684, -43.578947],\n",
       "       [-43.578947, -41.684211],\n",
       "       [-41.684211, -39.789474],\n",
       "       [-39.789474, -37.894737],\n",
       "       [-37.894737, -36.      ],\n",
       "       [-36.      , -34.105263],\n",
       "       [-34.105263, -32.210526],\n",
       "       [-32.210526, -30.315789],\n",
       "       [-30.315789, -28.421053],\n",
       "       [-28.421053, -26.526316],\n",
       "       [-26.526316, -24.631579],\n",
       "       [-24.631579, -22.736842],\n",
       "       [-22.736842, -20.842105],\n",
       "       [-20.842105, -18.947368],\n",
       "       [-18.947368, -17.052632],\n",
       "       [-17.052632, -15.157895],\n",
       "       [-15.157895, -13.263158],\n",
       "       [-13.263158, -11.368421],\n",
       "       [-11.368421,  -9.473684],\n",
       "       [ -9.473684,  -7.578947],\n",
       "       [ -7.578947,  -5.684211],\n",
       "       [ -5.684211,  -3.789474],\n",
       "       [ -3.789474,  -1.894737],\n",
       "       [ -1.894737,   0.      ],\n",
       "       [  0.      ,   1.894737],\n",
       "       [  1.894737,   3.789474],\n",
       "       [  3.789474,   5.684211],\n",
       "       [  5.684211,   7.578947],\n",
       "       [  7.578947,   9.473684],\n",
       "       [  9.473684,  11.368421],\n",
       "       [ 11.368421,  13.263158],\n",
       "       [ 13.263158,  15.157895],\n",
       "       [ 15.157895,  17.052632],\n",
       "       [ 17.052632,  18.947368],\n",
       "       [ 18.947368,  20.842105],\n",
       "       [ 20.842105,  22.736842],\n",
       "       [ 22.736842,  24.631579],\n",
       "       [ 24.631579,  26.526316],\n",
       "       [ 26.526316,  28.421053],\n",
       "       [ 28.421053,  30.315789],\n",
       "       [ 30.315789,  32.210526],\n",
       "       [ 32.210526,  34.105263],\n",
       "       [ 34.105263,  36.      ],\n",
       "       [ 36.      ,  37.894737],\n",
       "       [ 37.894737,  39.789474],\n",
       "       [ 39.789474,  41.684211],\n",
       "       [ 41.684211,  43.578947],\n",
       "       [ 43.578947,  45.473684],\n",
       "       [ 45.473684,  47.368421],\n",
       "       [ 47.368421,  49.263158],\n",
       "       [ 49.263158,  51.157895],\n",
       "       [ 51.157895,  53.052632],\n",
       "       [ 53.052632,  54.947368],\n",
       "       [ 54.947368,  56.842105],\n",
       "       [ 56.842105,  58.736842],\n",
       "       [ 58.736842,  60.631579],\n",
       "       [ 60.631579,  62.526316],\n",
       "       [ 62.526316,  64.421053],\n",
       "       [ 64.421053,  66.315789],\n",
       "       [ 66.315789,  68.210526],\n",
       "       [ 68.210526,  70.105263],\n",
       "       [ 70.105263,  72.      ],\n",
       "       [ 72.      ,  73.894737],\n",
       "       [ 73.894737,  75.789474],\n",
       "       [ 75.789474,  77.684211],\n",
       "       [ 77.684211,  79.578947],\n",
       "       [ 79.578947,  81.473684],\n",
       "       [ 81.473684,  83.368421],\n",
       "       [ 83.368421,  85.263158],\n",
       "       [ 85.263158,  87.157895],\n",
       "       [ 87.157895,  89.052632],\n",
       "       [ 89.052632,  90.      ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.25 1.25 1.25 ... 356.2 358.8</div><input id='attrs-8e6c143e-3c3a-4732-8b54-5e1d9a90ce15' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8e6c143e-3c3a-4732-8b54-5e1d9a90ce15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3097671e-fd07-4bae-8f69-d36ce1448151' class='xr-var-data-in' type='checkbox'><label for='data-3097671e-fd07-4bae-8f69-d36ce1448151' title='Show/Hide data 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([[ -1.25,   1.25],\n",
       "       [  1.25,   3.75],\n",
       "       [  3.75,   6.25],\n",
       "       ...,\n",
       "       [351.25, 353.75],\n",
       "       [353.75, 356.25],\n",
       "       [356.25, 358.75]])</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-f684648d-e79f-41af-aeed-cac4ce56ea11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f684648d-e79f-41af-aeed-cac4ce56ea11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4037fe47-f04a-4019-a9a2-fe95dc02cdb2' class='xr-var-data-in' type='checkbox'><label for='data-4037fe47-f04a-4019-a9a2-fe95dc02cdb2' title='Show/Hide data 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>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>original_name :</span></dt><dd>PRECT</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-06-01T05:45:35Z altered by CMOR: Converted type from &#x27;d&#x27; to &#x27;f&#x27;.</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_NorESM1-M_historical_r0i0p0.nc areacella: areacella_fx_NorESM1-M_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[1313280 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4a4847e2-825d-4816-a47a-8fd0ce0f45fe' class='xr-section-summary-in' type='checkbox'  ><label for='section-4a4847e2-825d-4816-a47a-8fd0ce0f45fe' class='xr-section-summary' >Attributes: <span>(26)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>Norwegian Climate Centre</dd><dt><span>institute_id :</span></dt><dd>NCC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>NorESM1-M 2011  atmosphere: CAM-Oslo (CAM4-Oslo-noresm-ver1_cmip5-r112, f19L26);  ocean: MICOM (MICOM-noresm-ver1_cmip5-r112, gx1v6L53);  sea ice: CICE (CICE4-noresm-ver1_cmip5-r112);  land: CLM (CLM4-noresm-ver1_cmip5-r112)</dd><dt><span>model_id :</span></dt><dd>NorESM1-M</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, Sl, Vl, BC, OC</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>255135.0</dd><dt><span>contact :</span></dt><dd>Please send any requests or bug reports to noresm-ncc@met.no.</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>5ccde64e-cfe8-47f6-9de8-9ea1621e7781</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-06-01T05:45:35Z</dd><dt><span>history :</span></dt><dd>2011-06-01T05:45:35Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) a5a1c518f52ae340313ba0aada03f862</dd><dt><span>title :</span></dt><dd>NorESM1-M model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.6.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 95, bnds: 2, lat: 96, lon: 144)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-01-16T12:00:00 ... 2005-11-16\n",
       "  * lat        (lat) float64 -90.0 -88.11 -86.21 -84.32 ... 86.21 88.11 90.0\n",
       "  * lon        (lon) float64 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1998-01-01 00:00:00 ... 2005-12-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -89.05 -89.05 ... 89.05 89.05 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -1.25 1.25 1.25 3.75 ... 356.2 356.2 358.8\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/26)\n",
       "    institution:            Norwegian Climate Centre\n",
       "    institute_id:           NCC\n",
       "    experiment_id:          historical\n",
       "    source:                 NorESM1-M 2011  atmosphere: CAM-Oslo (CAM4-Oslo-n...\n",
       "    model_id:               NorESM1-M\n",
       "    forcing:                GHG, SA, Oz, Sl, Vl, BC, OC\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...\n",
       "    title:                  NorESM1-M model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.6.0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1998-01-16T12:00:00.000000000','2005-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c811b0f2",
   "metadata": {},
   "outputs": [
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       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 32, bnds: 2, lat: 96, lon: 144)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-06-16 ... 2005-09-16\n",
       "  * lat        (lat) float64 -90.0 -88.11 -86.21 -84.32 ... 86.21 88.11 90.0\n",
       "  * lon        (lon) float64 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1998-06-01 00:00:00 ... 2005-10-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -89.05 -89.05 ... 89.05 89.05 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -1.25 1.25 1.25 3.75 ... 356.2 356.2 358.8\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/26)\n",
       "    institution:            Norwegian Climate Centre\n",
       "    institute_id:           NCC\n",
       "    experiment_id:          historical\n",
       "    source:                 NorESM1-M 2011  atmosphere: CAM-Oslo (CAM4-Oslo-n...\n",
       "    model_id:               NorESM1-M\n",
       "    forcing:                GHG, SA, Oz, Sl, Vl, BC, OC\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...\n",
       "    title:                  NorESM1-M model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.6.0</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-2a8f0750-46fc-4b81-a718-fbbe02bab440' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2a8f0750-46fc-4b81-a718-fbbe02bab440' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 32</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 96</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0b492838-2c35-4456-9ff1-30dcce93a5fe' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0b492838-2c35-4456-9ff1-30dcce93a5fe' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-06-16 ... 2005-09-16</div><input id='attrs-bb9e1b93-d206-4de4-8e11-3b0c7310fc09' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bb9e1b93-d206-4de4-8e11-3b0c7310fc09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-866a64b0-854d-450d-a254-4306b6768ae0' class='xr-var-data-in' type='checkbox'><label for='data-866a64b0-854d-450d-a254-4306b6768ae0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T12:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T12:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T12:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T12:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T12:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T12:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T12:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T12:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -88.11 -86.21 ... 88.11 90.0</div><input id='attrs-e28b1e3b-e494-4252-bc06-b242a9a0e9bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e28b1e3b-e494-4252-bc06-b242a9a0e9bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43e59be2-c8e4-468b-9dea-9932b8ede258' class='xr-var-data-in' type='checkbox'><label for='data-43e59be2-c8e4-468b-9dea-9932b8ede258' title='Show/Hide data 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-90.      , -88.105263, -86.210526, -84.315789, -82.421053, -80.526316,\n",
       "       -78.631579, -76.736842, -74.842105, -72.947368, -71.052632, -69.157895,\n",
       "       -67.263158, -65.368421, -63.473684, -61.578947, -59.684211, -57.789474,\n",
       "       -55.894737, -54.      , -52.105263, -50.210526, -48.315789, -46.421053,\n",
       "       -44.526316, -42.631579, -40.736842, -38.842105, -36.947368, -35.052632,\n",
       "       -33.157895, -31.263158, -29.368421, -27.473684, -25.578947, -23.684211,\n",
       "       -21.789474, -19.894737, -18.      , -16.105263, -14.210526, -12.315789,\n",
       "       -10.421053,  -8.526316,  -6.631579,  -4.736842,  -2.842105,  -0.947368,\n",
       "         0.947368,   2.842105,   4.736842,   6.631579,   8.526316,  10.421053,\n",
       "        12.315789,  14.210526,  16.105263,  18.      ,  19.894737,  21.789474,\n",
       "        23.684211,  25.578947,  27.473684,  29.368421,  31.263158,  33.157895,\n",
       "        35.052632,  36.947368,  38.842105,  40.736842,  42.631579,  44.526316,\n",
       "        46.421053,  48.315789,  50.210526,  52.105263,  54.      ,  55.894737,\n",
       "        57.789474,  59.684211,  61.578947,  63.473684,  65.368421,  67.263158,\n",
       "        69.157895,  71.052632,  72.947368,  74.842105,  76.736842,  78.631579,\n",
       "        80.526316,  82.421053,  84.315789,  86.210526,  88.105263,  90.      ])</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'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-d2cc6149-b179-42ae-9069-053c73498b5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2cc6149-b179-42ae-9069-053c73498b5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa4ebf65-e4cd-4d17-b7c0-5d02bf6744b0' class='xr-var-data-in' type='checkbox'><label for='data-aa4ebf65-e4cd-4d17-b7c0-5d02bf6744b0' title='Show/Hide data 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0147882e-89e8-4a98-814c-2207b976e308' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0147882e-89e8-4a98-814c-2207b976e308' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1998-06-01 00:00:00 ... 2005-10-...</div><input id='attrs-f21945f3-e35b-48a9-9280-08ff607e4fb3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f21945f3-e35b-48a9-9280-08ff607e4fb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-405c58f4-9ba6-4378-9d48-d93e9a9505b3' class='xr-var-data-in' type='checkbox'><label for='data-405c58f4-9ba6-4378-9d48-d93e9a9505b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1998, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-90.0 -89.05 -89.05 ... 89.05 90.0</div><input id='attrs-72cc62b9-5d43-44a4-947b-29de54051392' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-72cc62b9-5d43-44a4-947b-29de54051392' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91ec4fe3-4602-4753-a7d5-72342b7056d9' class='xr-var-data-in' type='checkbox'><label for='data-91ec4fe3-4602-4753-a7d5-72342b7056d9' title='Show/Hide data 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([[-90.      , -89.052632],\n",
       "       [-89.052632, -87.157895],\n",
       "       [-87.157895, -85.263158],\n",
       "       [-85.263158, -83.368421],\n",
       "       [-83.368421, -81.473684],\n",
       "       [-81.473684, -79.578947],\n",
       "       [-79.578947, -77.684211],\n",
       "       [-77.684211, -75.789474],\n",
       "       [-75.789474, -73.894737],\n",
       "       [-73.894737, -72.      ],\n",
       "       [-72.      , -70.105263],\n",
       "       [-70.105263, -68.210526],\n",
       "       [-68.210526, -66.315789],\n",
       "       [-66.315789, -64.421053],\n",
       "       [-64.421053, -62.526316],\n",
       "       [-62.526316, -60.631579],\n",
       "       [-60.631579, -58.736842],\n",
       "       [-58.736842, -56.842105],\n",
       "       [-56.842105, -54.947368],\n",
       "       [-54.947368, -53.052632],\n",
       "       [-53.052632, -51.157895],\n",
       "       [-51.157895, -49.263158],\n",
       "       [-49.263158, -47.368421],\n",
       "       [-47.368421, -45.473684],\n",
       "       [-45.473684, -43.578947],\n",
       "       [-43.578947, -41.684211],\n",
       "       [-41.684211, -39.789474],\n",
       "       [-39.789474, -37.894737],\n",
       "       [-37.894737, -36.      ],\n",
       "       [-36.      , -34.105263],\n",
       "       [-34.105263, -32.210526],\n",
       "       [-32.210526, -30.315789],\n",
       "       [-30.315789, -28.421053],\n",
       "       [-28.421053, -26.526316],\n",
       "       [-26.526316, -24.631579],\n",
       "       [-24.631579, -22.736842],\n",
       "       [-22.736842, -20.842105],\n",
       "       [-20.842105, -18.947368],\n",
       "       [-18.947368, -17.052632],\n",
       "       [-17.052632, -15.157895],\n",
       "       [-15.157895, -13.263158],\n",
       "       [-13.263158, -11.368421],\n",
       "       [-11.368421,  -9.473684],\n",
       "       [ -9.473684,  -7.578947],\n",
       "       [ -7.578947,  -5.684211],\n",
       "       [ -5.684211,  -3.789474],\n",
       "       [ -3.789474,  -1.894737],\n",
       "       [ -1.894737,   0.      ],\n",
       "       [  0.      ,   1.894737],\n",
       "       [  1.894737,   3.789474],\n",
       "       [  3.789474,   5.684211],\n",
       "       [  5.684211,   7.578947],\n",
       "       [  7.578947,   9.473684],\n",
       "       [  9.473684,  11.368421],\n",
       "       [ 11.368421,  13.263158],\n",
       "       [ 13.263158,  15.157895],\n",
       "       [ 15.157895,  17.052632],\n",
       "       [ 17.052632,  18.947368],\n",
       "       [ 18.947368,  20.842105],\n",
       "       [ 20.842105,  22.736842],\n",
       "       [ 22.736842,  24.631579],\n",
       "       [ 24.631579,  26.526316],\n",
       "       [ 26.526316,  28.421053],\n",
       "       [ 28.421053,  30.315789],\n",
       "       [ 30.315789,  32.210526],\n",
       "       [ 32.210526,  34.105263],\n",
       "       [ 34.105263,  36.      ],\n",
       "       [ 36.      ,  37.894737],\n",
       "       [ 37.894737,  39.789474],\n",
       "       [ 39.789474,  41.684211],\n",
       "       [ 41.684211,  43.578947],\n",
       "       [ 43.578947,  45.473684],\n",
       "       [ 45.473684,  47.368421],\n",
       "       [ 47.368421,  49.263158],\n",
       "       [ 49.263158,  51.157895],\n",
       "       [ 51.157895,  53.052632],\n",
       "       [ 53.052632,  54.947368],\n",
       "       [ 54.947368,  56.842105],\n",
       "       [ 56.842105,  58.736842],\n",
       "       [ 58.736842,  60.631579],\n",
       "       [ 60.631579,  62.526316],\n",
       "       [ 62.526316,  64.421053],\n",
       "       [ 64.421053,  66.315789],\n",
       "       [ 66.315789,  68.210526],\n",
       "       [ 68.210526,  70.105263],\n",
       "       [ 70.105263,  72.      ],\n",
       "       [ 72.      ,  73.894737],\n",
       "       [ 73.894737,  75.789474],\n",
       "       [ 75.789474,  77.684211],\n",
       "       [ 77.684211,  79.578947],\n",
       "       [ 79.578947,  81.473684],\n",
       "       [ 81.473684,  83.368421],\n",
       "       [ 83.368421,  85.263158],\n",
       "       [ 85.263158,  87.157895],\n",
       "       [ 87.157895,  89.052632],\n",
       "       [ 89.052632,  90.      ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.25 1.25 1.25 ... 356.2 358.8</div><input id='attrs-76b139fe-2502-4730-ab6f-57b38f4461e1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-76b139fe-2502-4730-ab6f-57b38f4461e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43040cc5-7fae-4fff-9dba-acc717e404cc' class='xr-var-data-in' type='checkbox'><label for='data-43040cc5-7fae-4fff-9dba-acc717e404cc' title='Show/Hide data 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([[ -1.25,   1.25],\n",
       "       [  1.25,   3.75],\n",
       "       [  3.75,   6.25],\n",
       "       ...,\n",
       "       [351.25, 353.75],\n",
       "       [353.75, 356.25],\n",
       "       [356.25, 358.75]])</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-198163fb-b3ec-4799-81c2-896a5c786479' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-198163fb-b3ec-4799-81c2-896a5c786479' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38475a39-6c1b-4312-a31c-886b8a32b0b0' class='xr-var-data-in' type='checkbox'><label for='data-38475a39-6c1b-4312-a31c-886b8a32b0b0' title='Show/Hide data 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>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>original_name :</span></dt><dd>PRECT</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-06-01T05:45:35Z altered by CMOR: Converted type from &#x27;d&#x27; to &#x27;f&#x27;.</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_NorESM1-M_historical_r0i0p0.nc areacella: areacella_fx_NorESM1-M_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[442368 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-071c5c8e-fcae-4cb3-aabc-2604b103aa52' class='xr-section-summary-in' type='checkbox'  ><label for='section-071c5c8e-fcae-4cb3-aabc-2604b103aa52' class='xr-section-summary' >Attributes: <span>(26)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>Norwegian Climate Centre</dd><dt><span>institute_id :</span></dt><dd>NCC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>NorESM1-M 2011  atmosphere: CAM-Oslo (CAM4-Oslo-noresm-ver1_cmip5-r112, f19L26);  ocean: MICOM (MICOM-noresm-ver1_cmip5-r112, gx1v6L53);  sea ice: CICE (CICE4-noresm-ver1_cmip5-r112);  land: CLM (CLM4-noresm-ver1_cmip5-r112)</dd><dt><span>model_id :</span></dt><dd>NorESM1-M</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, Sl, Vl, BC, OC</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>255135.0</dd><dt><span>contact :</span></dt><dd>Please send any requests or bug reports to noresm-ncc@met.no.</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>5ccde64e-cfe8-47f6-9de8-9ea1621e7781</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-06-01T05:45:35Z</dd><dt><span>history :</span></dt><dd>2011-06-01T05:45:35Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) a5a1c518f52ae340313ba0aada03f862</dd><dt><span>title :</span></dt><dd>NorESM1-M model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.6.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 32, bnds: 2, lat: 96, lon: 144)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-06-16 ... 2005-09-16\n",
       "  * lat        (lat) float64 -90.0 -88.11 -86.21 -84.32 ... 86.21 88.11 90.0\n",
       "  * lon        (lon) float64 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1998-06-01 00:00:00 ... 2005-10-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -89.05 -89.05 ... 89.05 89.05 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -1.25 1.25 1.25 3.75 ... 356.2 356.2 358.8\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/26)\n",
       "    institution:            Norwegian Climate Centre\n",
       "    institute_id:           NCC\n",
       "    experiment_id:          historical\n",
       "    source:                 NorESM1-M 2011  atmosphere: CAM-Oslo (CAM4-Oslo-n...\n",
       "    model_id:               NorESM1-M\n",
       "    forcing:                GHG, SA, Oz, Sl, Vl, BC, OC\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...\n",
       "    title:                  NorESM1-M model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.6.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting only JJAS months\n",
    "\n",
    "def is_jjas(month):\n",
    "    return (month >= 6) & (month <= 9)\n",
    "\n",
    "jjas_data = data.sel(time=is_jjas(data['time.month']))\n",
    "\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "be94f5d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#jjas_data.x.values\n",
    "#jjas_data.y.values\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5dfad417",
   "metadata": {},
   "outputs": [
    {
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       "  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: 32, bnds: 2, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-06-16 ... 2005-09-16\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",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1998-06-01 00:00:00 ... 2005-10-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 17.18 19.07 17.43 19.32 ... 28.57 26.93 28.82\n",
       "    lon_bnds   (lon, bnds) float64 84.88 87.38 85.12 87.62 ... 94.88 92.62 95.12\n",
       "    pr         (time, lat, lon) float64 0.0001094 0.000115 ... 0.00026 0.0002537\n",
       "Attributes: (12/26)\n",
       "    institution:            Norwegian Climate Centre\n",
       "    institute_id:           NCC\n",
       "    experiment_id:          historical\n",
       "    source:                 NorESM1-M 2011  atmosphere: CAM-Oslo (CAM4-Oslo-n...\n",
       "    model_id:               NorESM1-M\n",
       "    forcing:                GHG, SA, Oz, Sl, Vl, BC, OC\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...\n",
       "    title:                  NorESM1-M model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.6.0</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-6bef48d2-46f0-4b2f-b37f-5344d9ce6630' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6bef48d2-46f0-4b2f-b37f-5344d9ce6630' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 32</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>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-99b2b0c1-e020-47c2-8f06-e50117a8061a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-99b2b0c1-e020-47c2-8f06-e50117a8061a' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-06-16 ... 2005-09-16</div><input id='attrs-28361d50-81f8-4bf8-b042-5e57ec4a6be6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-28361d50-81f8-4bf8-b042-5e57ec4a6be6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a440b18e-aa13-4ce7-ae4c-863033147783' class='xr-var-data-in' type='checkbox'><label for='data-a440b18e-aa13-4ce7-ae4c-863033147783' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T12:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T12:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T12:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T12:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T12:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T12:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T12:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T12:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>86.12 86.38 86.62 ... 93.62 93.88</div><input id='attrs-361358a0-fb32-4713-84e3-f7293c4a8b6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-361358a0-fb32-4713-84e3-f7293c4a8b6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c846b5b-5b38-4599-a1c0-f487860f3577' class='xr-var-data-in' type='checkbox'><label for='data-1c846b5b-5b38-4599-a1c0-f487860f3577' title='Show/Hide data 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_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-0b4d47d6-a33b-47f9-ad3d-6138b4e7d768' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b4d47d6-a33b-47f9-ad3d-6138b4e7d768' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c001765-b126-4fbb-a6c0-3982626285af' class='xr-var-data-in' type='checkbox'><label for='data-4c001765-b126-4fbb-a6c0-3982626285af' title='Show/Hide data 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_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-9b5cb978-52b1-46a4-908d-9bb32196ef83' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9b5cb978-52b1-46a4-908d-9bb32196ef83' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1998-06-01 00:00:00 ... 2005-10-...</div><input id='attrs-a4f21e04-8f27-4413-9819-62aafc4b1f57' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4f21e04-8f27-4413-9819-62aafc4b1f57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a214057d-bdfc-4edb-ad6f-94e2522fc451' class='xr-var-data-in' type='checkbox'><label for='data-a214057d-bdfc-4edb-ad6f-94e2522fc451' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1998, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1998, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1998, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1999, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1999, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2000, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2000, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2001, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2001, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2002, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2002, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2003, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2003, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2004, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2004, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2005, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2005, 10, 1, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(lat, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>17.18 19.07 17.43 ... 26.93 28.82</div><input id='attrs-379b5b0e-1998-4bdb-bddc-8fd172e12cc0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-379b5b0e-1998-4bdb-bddc-8fd172e12cc0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a8e0b4d-4b08-4645-9c3b-2412e9a90148' class='xr-var-data-in' type='checkbox'><label for='data-9a8e0b4d-4b08-4645-9c3b-2412e9a90148' title='Show/Hide data 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([[17.17763158, 19.07236842],\n",
       "       [17.42763158, 19.32236842],\n",
       "       [17.67763158, 19.57236842],\n",
       "       [17.92763158, 19.82236842],\n",
       "       [18.17763158, 20.07236842],\n",
       "       [18.42763158, 20.32236842],\n",
       "       [18.67763158, 20.57236842],\n",
       "       [18.92763158, 20.82236842],\n",
       "       [19.17763158, 21.07236842],\n",
       "       [19.42763158, 21.32236842],\n",
       "       [19.67763158, 21.57236842],\n",
       "       [19.92763158, 21.82236842],\n",
       "       [20.17763158, 22.07236842],\n",
       "       [20.42763158, 22.32236842],\n",
       "       [20.67763158, 22.57236842],\n",
       "       [20.92763158, 22.82236842],\n",
       "       [21.17763158, 23.07236842],\n",
       "       [21.42763158, 23.32236842],\n",
       "       [21.67763158, 23.57236842],\n",
       "       [21.92763158, 23.82236842],\n",
       "       [22.17763158, 24.07236842],\n",
       "       [22.42763158, 24.32236842],\n",
       "       [22.67763158, 24.57236842],\n",
       "       [22.92763158, 24.82236842],\n",
       "       [23.17763158, 25.07236842],\n",
       "       [23.42763158, 25.32236842],\n",
       "       [23.67763158, 25.57236842],\n",
       "       [23.92763158, 25.82236842],\n",
       "       [24.17763158, 26.07236842],\n",
       "       [24.42763158, 26.32236842],\n",
       "       [24.67763158, 26.57236842],\n",
       "       [24.92763158, 26.82236842],\n",
       "       [25.17763158, 27.07236842],\n",
       "       [25.42763158, 27.32236842],\n",
       "       [25.67763158, 27.57236842],\n",
       "       [25.92763158, 27.82236842],\n",
       "       [26.17763158, 28.07236842],\n",
       "       [26.42763158, 28.32236842],\n",
       "       [26.67763158, 28.57236842],\n",
       "       [26.92763158, 28.82236842]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(lon, bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>84.88 87.38 85.12 ... 92.62 95.12</div><input id='attrs-771a174e-58c0-42bc-87a3-feffc2787358' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-771a174e-58c0-42bc-87a3-feffc2787358' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc736675-6835-40e4-8d8a-aff4676bd3fd' class='xr-var-data-in' type='checkbox'><label for='data-dc736675-6835-40e4-8d8a-aff4676bd3fd' title='Show/Hide data 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([[84.875, 87.375],\n",
       "       [85.125, 87.625],\n",
       "       [85.375, 87.875],\n",
       "       [85.625, 88.125],\n",
       "       [85.875, 88.375],\n",
       "       [86.125, 88.625],\n",
       "       [86.375, 88.875],\n",
       "       [86.625, 89.125],\n",
       "       [86.875, 89.375],\n",
       "       [87.125, 89.625],\n",
       "       [87.375, 89.875],\n",
       "       [87.625, 90.125],\n",
       "       [87.875, 90.375],\n",
       "       [88.125, 90.625],\n",
       "       [88.375, 90.875],\n",
       "       [88.625, 91.125],\n",
       "       [88.875, 91.375],\n",
       "       [89.125, 91.625],\n",
       "       [89.375, 91.875],\n",
       "       [89.625, 92.125],\n",
       "       [89.875, 92.375],\n",
       "       [90.125, 92.625],\n",
       "       [90.375, 92.875],\n",
       "       [90.625, 93.125],\n",
       "       [90.875, 93.375],\n",
       "       [91.125, 93.625],\n",
       "       [91.375, 93.875],\n",
       "       [91.625, 94.125],\n",
       "       [91.875, 94.375],\n",
       "       [92.125, 94.625],\n",
       "       [92.375, 94.875],\n",
       "       [92.625, 95.125]])</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'>float64</div><div class='xr-var-preview xr-preview'>0.0001094 0.000115 ... 0.0002537</div><input id='attrs-452e86a5-c3d5-4d82-92fd-9847d68d6d5a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-452e86a5-c3d5-4d82-92fd-9847d68d6d5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd6d97fe-2a16-4f28-bb97-1eaf278c791d' class='xr-var-data-in' type='checkbox'><label for='data-cd6d97fe-2a16-4f28-bb97-1eaf278c791d' title='Show/Hide data 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>comment :</span></dt><dd>at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective)</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>original_name :</span></dt><dd>PRECT</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>history :</span></dt><dd>2011-06-01T05:45:35Z altered by CMOR: Converted type from &#x27;d&#x27; to &#x27;f&#x27;.</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_NorESM1-M_historical_r0i0p0.nc areacella: areacella_fx_NorESM1-M_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[[1.09449068e-04, 1.14965791e-04, 1.20482515e-04, ...,\n",
       "         1.68367004e-04, 1.68644511e-04, 1.68922018e-04],\n",
       "        [1.10762077e-04, 1.15951990e-04, 1.21141904e-04, ...,\n",
       "         1.72071522e-04, 1.72370486e-04, 1.72669450e-04],\n",
       "        [1.12075085e-04, 1.16938190e-04, 1.21801294e-04, ...,\n",
       "         1.75776040e-04, 1.76096460e-04, 1.76416881e-04],\n",
       "        ...,\n",
       "        [3.55427454e-04, 3.74785789e-04, 3.94144125e-04, ...,\n",
       "         3.49655719e-04, 3.39739804e-04, 3.29823890e-04],\n",
       "        [3.45954984e-04, 3.64506197e-04, 3.83057410e-04, ...,\n",
       "         3.45755340e-04, 3.36961800e-04, 3.28168259e-04],\n",
       "        [3.08313925e-04, 3.24801475e-04, 3.41289024e-04, ...,\n",
       "         3.19856084e-04, 3.13281953e-04, 3.06707822e-04]],\n",
       "\n",
       "       [[1.50104086e-04, 1.47519136e-04, 1.44934186e-04, ...,\n",
       "         1.24945339e-04, 1.24257842e-04, 1.23570344e-04],\n",
       "        [1.47029326e-04, 1.44062037e-04, 1.41094748e-04, ...,\n",
       "         1.17693973e-04, 1.17290387e-04, 1.16886800e-04],\n",
       "        [1.43954567e-04, 1.40604938e-04, 1.37255310e-04, ...,\n",
       "         1.10442606e-04, 1.10322931e-04, 1.10203256e-04],\n",
       "...\n",
       "        [2.69043223e-04, 2.72685242e-04, 2.76327261e-04, ...,\n",
       "         1.96206189e-04, 1.93690550e-04, 1.91174912e-04],\n",
       "        [2.67839606e-04, 2.70993474e-04, 2.74147343e-04, ...,\n",
       "         1.91606173e-04, 1.89351753e-04, 1.87097333e-04],\n",
       "        [2.46551213e-04, 2.48758132e-04, 2.50965051e-04, ...,\n",
       "         1.77588598e-04, 1.76165773e-04, 1.74742947e-04]],\n",
       "\n",
       "       [[9.95136971e-05, 9.58591888e-05, 9.22046806e-05, ...,\n",
       "         7.98599096e-05, 7.85213339e-05, 7.71827582e-05],\n",
       "        [1.03062438e-04, 9.95713000e-05, 9.60801619e-05, ...,\n",
       "         7.82825919e-05, 7.74345970e-05, 7.65866022e-05],\n",
       "        [1.06611179e-04, 1.03283411e-04, 9.99556433e-05, ...,\n",
       "         7.67052741e-05, 7.63478601e-05, 7.59904461e-05],\n",
       "        ...,\n",
       "        [2.54023582e-04, 2.67076671e-04, 2.80129760e-04, ...,\n",
       "         2.72289805e-04, 2.61498958e-04, 2.50708112e-04],\n",
       "        [2.48119164e-04, 2.60543673e-04, 2.72968181e-04, ...,\n",
       "         2.76913591e-04, 2.67486860e-04, 2.58060129e-04],\n",
       "        [2.22837218e-04, 2.33280702e-04, 2.43724187e-04, ...,\n",
       "         2.66372393e-04, 2.60049241e-04, 2.53726088e-04]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-95b8aa71-9164-400d-bb51-bf121da9f1ad' class='xr-section-summary-in' type='checkbox'  ><label for='section-95b8aa71-9164-400d-bb51-bf121da9f1ad' class='xr-section-summary' >Attributes: <span>(26)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>Norwegian Climate Centre</dd><dt><span>institute_id :</span></dt><dd>NCC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>NorESM1-M 2011  atmosphere: CAM-Oslo (CAM4-Oslo-noresm-ver1_cmip5-r112, f19L26);  ocean: MICOM (MICOM-noresm-ver1_cmip5-r112, gx1v6L53);  sea ice: CICE (CICE4-noresm-ver1_cmip5-r112);  land: CLM (CLM4-noresm-ver1_cmip5-r112)</dd><dt><span>model_id :</span></dt><dd>NorESM1-M</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, Sl, Vl, BC, OC</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>255135.0</dd><dt><span>contact :</span></dt><dd>Please send any requests or bug reports to noresm-ncc@met.no.</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>5ccde64e-cfe8-47f6-9de8-9ea1621e7781</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-06-01T05:45:35Z</dd><dt><span>history :</span></dt><dd>2011-06-01T05:45:35Z CMOR rewrote data to comply with CF standards and CMIP5 requirements.</dd><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>project_id :</span></dt><dd>CMIP5</dd><dt><span>table_id :</span></dt><dd>Table Amon (27 April 2011) a5a1c518f52ae340313ba0aada03f862</dd><dt><span>title :</span></dt><dd>NorESM1-M model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.6.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 32, bnds: 2, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1998-06-16 ... 2005-09-16\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",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1998-06-01 00:00:00 ... 2005-10-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 17.18 19.07 17.43 19.32 ... 28.57 26.93 28.82\n",
       "    lon_bnds   (lon, bnds) float64 84.88 87.38 85.12 87.62 ... 94.88 92.62 95.12\n",
       "    pr         (time, lat, lon) float64 0.0001094 0.000115 ... 0.00026 0.0002537\n",
       "Attributes: (12/26)\n",
       "    institution:            Norwegian Climate Centre\n",
       "    institute_id:           NCC\n",
       "    experiment_id:          historical\n",
       "    source:                 NorESM1-M 2011  atmosphere: CAM-Oslo (CAM4-Oslo-n...\n",
       "    model_id:               NorESM1-M\n",
       "    forcing:                GHG, SA, Oz, Sl, Vl, BC, OC\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (27 April 2011) a5a1c518f52ae340313ba0...\n",
       "    title:                  NorESM1-M model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.6.0"
      ]
     },
     "execution_count": 16,
     "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": 17,
   "id": "5d72e41a",
   "metadata": {},
   "outputs": [],
   "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": 18,
   "id": "18269e45",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
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       "}\n",
       "\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
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       ".xr-icon-file-text2 {\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([[9.47903798e-05, 9.49619808e-05, 9.51335817e-05, ...,\n",
       "        1.09061879e-04, 1.09909299e-04, 1.10756719e-04],\n",
       "       [9.48772536e-05, 9.49447216e-05, 9.50121897e-05, ...,\n",
       "        1.06769355e-04, 1.07641507e-04, 1.08513659e-04],\n",
       "       [9.49641273e-05, 9.49274625e-05, 9.48907978e-05, ...,\n",
       "        1.04476830e-04, 1.05373715e-04, 1.06270599e-04],\n",
       "       ...,\n",
       "       [3.00519668e-04, 3.09224401e-04, 3.17929135e-04, ...,\n",
       "        2.63212944e-04, 2.57763006e-04, 2.52313067e-04],\n",
       "       [2.95914358e-04, 3.04070238e-04, 3.12226119e-04, ...,\n",
       "        2.62831255e-04, 2.58001002e-04, 2.53170749e-04],\n",
       "       [2.68768520e-04, 2.75533534e-04, 2.82298547e-04, ...,\n",
       "        2.47295736e-04, 2.43882796e-04, 2.40469857e-04]])\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'>'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-9a374bb3-7cd4-426a-8a93-f3e1d12a2955' class='xr-array-in' type='checkbox' checked><label for='section-9a374bb3-7cd4-426a-8a93-f3e1d12a2955' 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>9.479e-05 9.496e-05 9.513e-05 ... 0.0002473 0.0002439 0.0002405</span></div><div class='xr-array-data'><pre>array([[9.47903798e-05, 9.49619808e-05, 9.51335817e-05, ...,\n",
       "        1.09061879e-04, 1.09909299e-04, 1.10756719e-04],\n",
       "       [9.48772536e-05, 9.49447216e-05, 9.50121897e-05, ...,\n",
       "        1.06769355e-04, 1.07641507e-04, 1.08513659e-04],\n",
       "       [9.49641273e-05, 9.49274625e-05, 9.48907978e-05, ...,\n",
       "        1.04476830e-04, 1.05373715e-04, 1.06270599e-04],\n",
       "       ...,\n",
       "       [3.00519668e-04, 3.09224401e-04, 3.17929135e-04, ...,\n",
       "        2.63212944e-04, 2.57763006e-04, 2.52313067e-04],\n",
       "       [2.95914358e-04, 3.04070238e-04, 3.12226119e-04, ...,\n",
       "        2.62831255e-04, 2.58001002e-04, 2.53170749e-04],\n",
       "       [2.68768520e-04, 2.75533534e-04, 2.82298547e-04, ...,\n",
       "        2.47295736e-04, 2.43882796e-04, 2.40469857e-04]])</pre></div></div></li><li class='xr-section-item'><input id='section-6bd8938e-41e8-4037-9730-59752621e7cd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6bd8938e-41e8-4037-9730-59752621e7cd' 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-37360699-749f-401f-8de1-8cb8088e9820' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37360699-749f-401f-8de1-8cb8088e9820' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c262f0c8-7ec3-417c-b2c8-ef022b565ca5' class='xr-var-data-in' type='checkbox'><label for='data-c262f0c8-7ec3-417c-b2c8-ef022b565ca5' title='Show/Hide data 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_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-e306ac92-1e3d-49b9-a143-6813c34a6e33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e306ac92-1e3d-49b9-a143-6813c34a6e33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fed4e6b-1068-4b50-bee9-e76f642a7244' class='xr-var-data-in' type='checkbox'><label for='data-9fed4e6b-1068-4b50-bee9-e76f642a7244' title='Show/Hide data 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_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-3bd6bcd1-2f72-4ba4-9e84-fc44045e9a69' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3bd6bcd1-2f72-4ba4-9e84-fc44045e9a69' 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([[9.47903798e-05, 9.49619808e-05, 9.51335817e-05, ...,\n",
       "        1.09061879e-04, 1.09909299e-04, 1.10756719e-04],\n",
       "       [9.48772536e-05, 9.49447216e-05, 9.50121897e-05, ...,\n",
       "        1.06769355e-04, 1.07641507e-04, 1.08513659e-04],\n",
       "       [9.49641273e-05, 9.49274625e-05, 9.48907978e-05, ...,\n",
       "        1.04476830e-04, 1.05373715e-04, 1.06270599e-04],\n",
       "       ...,\n",
       "       [3.00519668e-04, 3.09224401e-04, 3.17929135e-04, ...,\n",
       "        2.63212944e-04, 2.57763006e-04, 2.52313067e-04],\n",
       "       [2.95914358e-04, 3.04070238e-04, 3.12226119e-04, ...,\n",
       "        2.62831255e-04, 2.58001002e-04, 2.53170749e-04],\n",
       "       [2.68768520e-04, 2.75533534e-04, 2.82298547e-04, ...,\n",
       "        2.47295736e-04, 2.43882796e-04, 2.40469857e-04]])\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": 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": {},
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       "\n",
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       "\n",
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       "  grid-column: 1;\n",
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       "\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
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       "  fill: currentColor;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[ 8.18988882,  8.20471514,  8.21954146, ...,  9.42294638,\n",
       "         9.49616345,  9.56938053],\n",
       "       [ 8.19739471,  8.20322395,  8.20905319, ...,  9.22487224,\n",
       "         9.30022619,  9.37558015],\n",
       "       [ 8.2049006 ,  8.20173276,  8.19856493, ...,  9.0267981 ,\n",
       "         9.10428893,  9.18177977],\n",
       "       ...,\n",
       "       [25.96489929, 26.71698826, 27.46907723, ..., 22.74159837,\n",
       "        22.27072368, 21.79984898],\n",
       "       [25.56700052, 26.27166859, 26.97633667, ..., 22.70862047,\n",
       "        22.29128657, 21.87395268],\n",
       "       [23.2216001 , 23.8060973 , 24.3905945 , ..., 21.36635158,\n",
       "        21.07147359, 20.77659561]])\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'>'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-27f70566-7237-41d4-8093-b07a0e91d7fa' class='xr-array-in' type='checkbox' checked><label for='section-27f70566-7237-41d4-8093-b07a0e91d7fa' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>8.19 8.205 8.22 8.234 8.249 8.264 ... 21.96 21.66 21.37 21.07 20.78</span></div><div class='xr-array-data'><pre>array([[ 8.18988882,  8.20471514,  8.21954146, ...,  9.42294638,\n",
       "         9.49616345,  9.56938053],\n",
       "       [ 8.19739471,  8.20322395,  8.20905319, ...,  9.22487224,\n",
       "         9.30022619,  9.37558015],\n",
       "       [ 8.2049006 ,  8.20173276,  8.19856493, ...,  9.0267981 ,\n",
       "         9.10428893,  9.18177977],\n",
       "       ...,\n",
       "       [25.96489929, 26.71698826, 27.46907723, ..., 22.74159837,\n",
       "        22.27072368, 21.79984898],\n",
       "       [25.56700052, 26.27166859, 26.97633667, ..., 22.70862047,\n",
       "        22.29128657, 21.87395268],\n",
       "       [23.2216001 , 23.8060973 , 24.3905945 , ..., 21.36635158,\n",
       "        21.07147359, 20.77659561]])</pre></div></div></li><li class='xr-section-item'><input id='section-d7c8eeff-7901-434e-abe3-5506d55cefe0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d7c8eeff-7901-434e-abe3-5506d55cefe0' 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-d9749289-86f5-4cb8-b2e7-713ddfa0d914' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9749289-86f5-4cb8-b2e7-713ddfa0d914' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7912963d-d6e3-4c35-9729-5f61ae4f12e9' class='xr-var-data-in' type='checkbox'><label for='data-7912963d-d6e3-4c35-9729-5f61ae4f12e9' title='Show/Hide data 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_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-b3873545-088a-4a22-b4ad-25d0c05345a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3873545-088a-4a22-b4ad-25d0c05345a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-934e67b9-f520-4ee5-aad3-f25d62e825f9' class='xr-var-data-in' type='checkbox'><label for='data-934e67b9-f520-4ee5-aad3-f25d62e825f9' title='Show/Hide data 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_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-bd78c0fe-3bf6-4657-8858-24b20af3dba5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bd78c0fe-3bf6-4657-8858-24b20af3dba5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (lat: 40, lon: 32)>\n",
       "array([[ 8.18988882,  8.20471514,  8.21954146, ...,  9.42294638,\n",
       "         9.49616345,  9.56938053],\n",
       "       [ 8.19739471,  8.20322395,  8.20905319, ...,  9.22487224,\n",
       "         9.30022619,  9.37558015],\n",
       "       [ 8.2049006 ,  8.20173276,  8.19856493, ...,  9.0267981 ,\n",
       "         9.10428893,  9.18177977],\n",
       "       ...,\n",
       "       [25.96489929, 26.71698826, 27.46907723, ..., 22.74159837,\n",
       "        22.27072368, 21.79984898],\n",
       "       [25.56700052, 26.27166859, 26.97633667, ..., 22.70862047,\n",
       "        22.29128657, 21.87395268],\n",
       "       [23.2216001 , 23.8060973 , 24.3905945 , ..., 21.36635158,\n",
       "        21.07147359, 20.77659561]])\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": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "noresm = jjas_mean*86400\n",
    "noresm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "6c5c5811",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       ".xr-var-dtype:hover,\n",
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       "\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",
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       "  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",
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       "\n",
       ".xr-attrs,\n",
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       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
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       "\n",
       "dl.xr-attrs {\n",
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       "  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([[ -0.55189432,  -0.73056662,  -0.79412374, ..., -12.83795031,\n",
       "        -11.56969348,  -8.19343304],\n",
       "       [ -0.17597451,  -0.39071774,  -0.71205315, ..., -10.88994634,\n",
       "        -11.21086695,  -9.01205603],\n",
       "       [ -0.36925712,  -0.94364916,  -0.92777784, ...,  -9.65255562,\n",
       "         -8.29611695,  -8.34144029],\n",
       "       ...,\n",
       "       [ 18.60256409,  19.84201973,  21.00684893, ...,  15.18750692,\n",
       "         14.44546113,  12.78903241],\n",
       "       [ 18.12236989,  19.50085179,  20.87831659, ...,  15.65981094,\n",
       "         15.18805467,  14.27322083],\n",
       "       [ 16.59486251,  17.79817131,  19.24445917, ...,  14.03692481,\n",
       "         13.32848024,  13.37140514]])\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'></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-fa5ff5db-0738-43ee-b26d-821b43784c12' class='xr-array-in' type='checkbox' checked><label for='section-fa5ff5db-0738-43ee-b26d-821b43784c12' 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>-0.5519 -0.7306 -0.7941 -1.173 -1.501 ... 15.9 14.75 14.04 13.33 13.37</span></div><div class='xr-array-data'><pre>array([[ -0.55189432,  -0.73056662,  -0.79412374, ..., -12.83795031,\n",
       "        -11.56969348,  -8.19343304],\n",
       "       [ -0.17597451,  -0.39071774,  -0.71205315, ..., -10.88994634,\n",
       "        -11.21086695,  -9.01205603],\n",
       "       [ -0.36925712,  -0.94364916,  -0.92777784, ...,  -9.65255562,\n",
       "         -8.29611695,  -8.34144029],\n",
       "       ...,\n",
       "       [ 18.60256409,  19.84201973,  21.00684893, ...,  15.18750692,\n",
       "         14.44546113,  12.78903241],\n",
       "       [ 18.12236989,  19.50085179,  20.87831659, ...,  15.65981094,\n",
       "         15.18805467,  14.27322083],\n",
       "       [ 16.59486251,  17.79817131,  19.24445917, ...,  14.03692481,\n",
       "         13.32848024,  13.37140514]])</pre></div></div></li><li class='xr-section-item'><input id='section-c4778607-4471-4e20-bcc5-a63afc9c2f64' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c4778607-4471-4e20-bcc5-a63afc9c2f64' 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-c70d74ee-3de8-4bf9-883d-336229d6916c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c70d74ee-3de8-4bf9-883d-336229d6916c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c92e17e3-f304-41eb-9ef1-0f1a3c8c6092' class='xr-var-data-in' type='checkbox'><label for='data-c92e17e3-f304-41eb-9ef1-0f1a3c8c6092' title='Show/Hide data 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_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-513c22bb-9a1f-4aa2-be46-7b0675d0d5a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-513c22bb-9a1f-4aa2-be46-7b0675d0d5a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d673affb-743e-434a-a37e-9bd92e1a8cab' class='xr-var-data-in' type='checkbox'><label for='data-d673affb-743e-434a-a37e-9bd92e1a8cab' title='Show/Hide data 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_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-1499fc4d-0c41-4c29-9b95-595a943edf2a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1499fc4d-0c41-4c29-9b95-595a943edf2a' 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([[ -0.55189432,  -0.73056662,  -0.79412374, ..., -12.83795031,\n",
       "        -11.56969348,  -8.19343304],\n",
       "       [ -0.17597451,  -0.39071774,  -0.71205315, ..., -10.88994634,\n",
       "        -11.21086695,  -9.01205603],\n",
       "       [ -0.36925712,  -0.94364916,  -0.92777784, ...,  -9.65255562,\n",
       "         -8.29611695,  -8.34144029],\n",
       "       ...,\n",
       "       [ 18.60256409,  19.84201973,  21.00684893, ...,  15.18750692,\n",
       "         14.44546113,  12.78903241],\n",
       "       [ 18.12236989,  19.50085179,  20.87831659, ...,  15.65981094,\n",
       "         15.18805467,  14.27322083],\n",
       "       [ 16.59486251,  17.79817131,  19.24445917, ...,  14.03692481,\n",
       "         13.32848024,  13.37140514]])\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": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias = noresm - trmm\n",
    "bias"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "445388ed",
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "\n",
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       "  float: right;\n",
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       "\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
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       "  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",
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       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
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       "  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",
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       "  height: 1.5em !important;\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (lat: 40, lon: 32)&gt;\n",
       "array([[ -6.31329233,  -8.17620123,  -8.81022009, ..., -57.67040964,\n",
       "        -54.92154208, -46.12688754],\n",
       "       [ -2.10159739,  -4.54643227,  -7.98166862, ..., -54.13892398,\n",
       "        -54.65757905, -49.01149851],\n",
       "       [ -4.30662846, -10.31831334, -10.16593248, ..., -51.67499778,\n",
       "        -47.67772088, -47.60221158],\n",
       "       ...,\n",
       "       [252.67206082, 288.61251726, 325.0712906 , ..., 201.05008008,\n",
       "        184.60033824, 141.92978296],\n",
       "       [243.42873156, 288.01328346, 342.37861357, ..., 222.16249254,\n",
       "        213.81893293, 187.78745401],\n",
       "       [250.42281019, 296.24484976, 373.95944598, ..., 191.51463353,\n",
       "        172.13601544, 180.56801102]])\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'></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-d9a896f8-01ff-4a74-aa2d-94a81954a4c7' class='xr-array-in' type='checkbox' checked><label for='section-d9a896f8-01ff-4a74-aa2d-94a81954a4c7' 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>-6.313 -8.176 -8.81 -12.47 -15.39 ... 262.4 213.5 191.5 172.1 180.6</span></div><div class='xr-array-data'><pre>array([[ -6.31329233,  -8.17620123,  -8.81022009, ..., -57.67040964,\n",
       "        -54.92154208, -46.12688754],\n",
       "       [ -2.10159739,  -4.54643227,  -7.98166862, ..., -54.13892398,\n",
       "        -54.65757905, -49.01149851],\n",
       "       [ -4.30662846, -10.31831334, -10.16593248, ..., -51.67499778,\n",
       "        -47.67772088, -47.60221158],\n",
       "       ...,\n",
       "       [252.67206082, 288.61251726, 325.0712906 , ..., 201.05008008,\n",
       "        184.60033824, 141.92978296],\n",
       "       [243.42873156, 288.01328346, 342.37861357, ..., 222.16249254,\n",
       "        213.81893293, 187.78745401],\n",
       "       [250.42281019, 296.24484976, 373.95944598, ..., 191.51463353,\n",
       "        172.13601544, 180.56801102]])</pre></div></div></li><li class='xr-section-item'><input id='section-edffd8b4-b1a8-4440-997c-b71c8a63c7a4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-edffd8b4-b1a8-4440-997c-b71c8a63c7a4' 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-5a202011-1e3e-40f0-ab88-d21ce3af4960' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a202011-1e3e-40f0-ab88-d21ce3af4960' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ea051ee-865c-49d8-a156-d134de06220b' class='xr-var-data-in' type='checkbox'><label for='data-4ea051ee-865c-49d8-a156-d134de06220b' title='Show/Hide data 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>bounds :</span></dt><dd>lon_bnds</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_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-36387f67-7e18-45a5-95e9-7cfdcfd38882' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36387f67-7e18-45a5-95e9-7cfdcfd38882' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45dc27e2-5e61-408b-80fd-7178a38c8bc9' class='xr-var-data-in' type='checkbox'><label for='data-45dc27e2-5e61-408b-80fd-7178a38c8bc9' title='Show/Hide data 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>bounds :</span></dt><dd>lat_bnds</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_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-3282c757-445b-4af7-87a1-aaae60545f6e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3282c757-445b-4af7-87a1-aaae60545f6e' 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([[ -6.31329233,  -8.17620123,  -8.81022009, ..., -57.67040964,\n",
       "        -54.92154208, -46.12688754],\n",
       "       [ -2.10159739,  -4.54643227,  -7.98166862, ..., -54.13892398,\n",
       "        -54.65757905, -49.01149851],\n",
       "       [ -4.30662846, -10.31831334, -10.16593248, ..., -51.67499778,\n",
       "        -47.67772088, -47.60221158],\n",
       "       ...,\n",
       "       [252.67206082, 288.61251726, 325.0712906 , ..., 201.05008008,\n",
       "        184.60033824, 141.92978296],\n",
       "       [243.42873156, 288.01328346, 342.37861357, ..., 222.16249254,\n",
       "        213.81893293, 187.78745401],\n",
       "       [250.42281019, 296.24484976, 373.95944598, ..., 191.51463353,\n",
       "        172.13601544, 180.56801102]])\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": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias_percentage = ((noresm - trmm)/trmm)*100\n",
    "bias_percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "08ba09cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1ft6V70Gg9Cgr8y1KL2acEOJDY4NQ+dxOwFJsm5Qr6qBHmUd2Ea75Pt5BGSd8Etvm569QxsfGCCGmi0phxozm/D+N5z4la5gyUYGUcjeKabkjyvSMOiGEuFIIYa9nfSfKmPd+Y0/OXl1c/RnXlueM79McyPsWSr0n1kWUjd/DecYyHBXH3ii9+Zr+s25FHXNTvshPjQOo/6KMq8SiOCl0RnkCMg2qSin/FkK8YUw7YBwPS0dxaOiG8kUPAs4YxzH+Qgmhs04IsQLFcWIyiit85fBOD6E0GktRxqD0xnr0BeZLKfca67BUCPE5yjjFTuNAcihKoxAH3CqlPEvd+QTlCX6zEOJ3lAbhfJTGuVN1J9aC84zjIKD8DlugfB4RKN6YG2s4/3MUs/HvQogZKL3sMSi97O1YO9Q0BTYaHQS2ojyVNzNerxzlgaWCbShhm+zN+XoI5bOeChw0fle7jeU0RhmjTQH2YzZxIqUsNzof/IHSyF4qhPgHSEOZjtAHRajzqWGul/GzqenzqRNSygIhxMsopi1Qxtksj5cJIS5ACb91LzBZCDEPxQGnLcrvJBR4XUo5ndrxAsqY0dNCiF8qOfskCyGm2TmvREpZMX9wIMrYbSpKY5uG8rDR3/gqBf5XU0Vc+RnXFinlAiHEBpQHo4FSSltzMCvynkZ5uKjP9ezGmbRDxX/FmSby+lOTOyXKJMxZwFGUHsE+FNt8pEWeb7Dvpru3UnkjUQYr81DmoVjOr0qxOG+0jbqsBpbXVOfavFA8Gx9FGTxORfnxFwL/ofzBm9k5bxKKs0Wm8ZxjKOMGd2ARhgZljtVHKD2NYpTG83rMbrjTLPKORzF97UdprHNQGuP7qTSvCKX3eIfxeLHx81wGTLBR12nYcUW2dQylR3+/8XsqAY6gxB8MMuZdXqmM5dR/KkCu8fu9GRB2zrmhUvoEFDNxAUpv43uUXpVVfVA8QaehNHanjN/XURTX51426vis8XptqrmPIcbv6jDK+GSJsczfgauBQDvnaYEpKA83p1BMZbkoY41PUXXqiclNvYbPNYV6TAWodCwY5b8gqRR+yyJPEIpIrESZP1mGIiQ/A0PsnDMSC9dzO3l+M+a5stJnUN0rxyJvc5Tx2L9RQosVofw/DqA4Z3SycU2XfMY2Pusq/z+LPKnYmOdmcbximtECR75DG+cvp4apAA7+b22F39pDpTmS3vASxsrZRQixDqXhnm388fZCaSj2AoOllAZjNIjKoWFSjD/0N6SUjxjLCkdpKF9DaeRfAX6TUr5hPJ5iPA6wTkppZWMWQqxG8cgZWW2lVVTqgXE89RDwjpTySU/XR0XFWxHKChBrUBy7ajPtwOU4Im6JspKJSwhxHcoYwhgp5VI75z0NPI/yVPGfMa0v8KmUso9xfxIwVUo5ybifgiJuC1GiWV8gpZxrUaYqbipuQQjxCor5sKW0EVtURUUFhLJUThMUz2pbYeM8Ro1jbpWFzUiFLbqpjWMVXIcy8fI/i7RjQFuhrGG0E2Uuxn4b585EcX99UQjxl6xJgVVUnM+rKKbGFOrneaqi4pcYpyKtQ4lC41XCBnX3lhxhfN9j66AQYgjK4LJVwE6prNP0FMqk2wwUl21b3kjSmK879fCcUlGpK1KZZ/ScrFukCRUVv0dKWWT8j3iF401lajRLVjlBiKYoTgzbpZTn2MnzKUp8t2Rpw+VWCBELxAOHLRXfwix5q5TyCyHEKhR37c5SSp0jZkkhxFQUTzYIC+6DpoHNdtAZoMTCAzgwAIJtLgrtfZSUgc5G1KcALQQHVR/QSaXhEuAjv++aKC2DYuN0WCEgKkJ5dwOBodVN+3Mu5SdP/yOlnODq69RqKoBQliifjRKy6UY7eYJR3Hn/siVsYAp15cj8lydQvLFuQPF0qhEp5WcYV+wVkWGSnh1qOMMPOXEGjqQr2zo9dGsLYbaiSXkZR9KVuldGp4fEcGhTZVqZii+TkFRznoaE3gALVkB5OUgJvbpAjN0pj/UmuXtPl5VdHenPv55Qc67647C4GScLz0ExJY6QUqbZyXohiuu1I2sIVYuUcpVQAt4+I4T4vsYTVBSSEyEjB/KLlD/JsVPQMcXTtaqZ6nqYJzOgeSMI8pOndG9FFRzPodVAo3hIM0a8Op3hdHHzlKB5AofEzRiFYBbKJMixUsrqwqxcjzKeNq/+1QOUSAmbsB8OSKUyQkDrZrDd6KuTmQOl5d5vngytFBCjYwocPG42VeYWQHEplOsgPh6aN1HMlTWR4czA/D6MKlzeT1KCWdzOZECHaiPJOURDEjRLahQ3Y5y3H1FmoU+U1cyOF0I0QnHh/0g6KTq0lHKLEGIWiokyHWXCq0pNRIZBVDjkFSruOSfOQOvqnFurwV2NYlwCnMmF3Dzo3hGaNYETZyHfuPjBvqPmvCczYPd+aN0COrUFrdZ2mVBz/f1J/Bz9rqR023iOSi2wtEzoa+eA2FBFzB6O9Nw+RFku5CWgUAgx0OJYWiXz5BRjmfU2SVbiaZQFDZMwr1emUhNNExVxA0g/CwnRyiB1ZbzliV6jgSF9rBvepo1h7yHb+Q0SDh5VzDeD+0BoHccVa3P/nhRCZ3xPJ8/AoaOQlaM8EESEQeMkaNuy+gcElfpRroOcXAgMhOhI+w8WORaLecTaNkmqIuYYjojbucb3J40vS57DOpjn9Sgrt26pf9XMSCn3GsfcbnBmuX5PXLS59wZwIA1GDfL+cSvLP377VoqIpR5XGoi4aIiPhTOZ5oYgvxDWbIKRAyHAxeFSveVBoLZICbv2K8JWgUEH2XnK63g69OwCCbH2y/AC6tuwS4OBkn0HKT99BqHRIIKD0EZEENyqJZow2x6D6Tu21eua5OXDms2KNyRAdCSJV15KYCProE667Bwyl6+nwl84pkcPwrp3qd+1GzC1ngrgS4jYaMnIgfYz+JM5Cmw3vEXFsGytIgwAbVOga3u3VstpWPbopITUNNixV9kG6NhGedWGsnLIzIaCQmicCJE2era+Rlk5nM2CsjKlNyylIl6ZOTWfm9IMurQjuU9Ny+n5HrqcXLJ/+5Pyk6erHBMhwcRdcTHBLZvXuXwpJaWHUilLPYouMxtNVAQR/XpTvO8g+UusDU4iIICocaMISmmBPjcPfVY2+Sv/xVBYZDqedPdUtD74exzeu1e1x2dMvsrhVdXrQ8NeFcCWGPiC4NWm9xAWCj06wSajD9CxE9ClnW+Ot1jWWQhoZWyIthtjCRxMVcxr1fXe9AbYdwiOnwSdziz6ALsPKuLfobUyt87XMBjg8HHFjKvT2c0W0qEdURPGIISgZO8B8pauRJYZexWpaWgycyiOiCG0g60l7XwTaTDYFTYAWVJK9u9zSbrrVjSBtbdslJ/JIHfBYspSrRfLLtq41fb1dDpy5y2yXZhWS8zFk3xG2GoSM0/RsMXNFt4ieM40fzVtrAhAuU55qi8u9Y15b46Q0kwxtRUUgU5PyOETRA4fQkB8LEKrNZuU9HrIylUa/kw7UyylhANH4MQp5YGgkVum4zgHKWH9NmX80R5CEDFkIJEjhyCMwQ3C+/cmpGM7cuYtpHS/MrZpyC8g+5c/KGzejIgh/Qlu1wbhiw9DFhTv2mMlbGF9e6IJCcFQXELR5m2Act9Fm7YSMajKUn52MRSXkL9iDYUbt5gtCNUQ2q0z5emn0GVm2TwuQkKIu/Jiglt4/5xObxW1ClRxcwRnOxy4e9xGCKUHl5uv7Jf6kbgJQdTQQeQtWAJAye59lOzepxzTatEEBSGRyIrIDzbOJybSuHCKcQyvqBjWboGkeKUnFxSoRH0pKVV6RGFhiiNGRBheEwEnI9tK2LTRUQS3aqksSaLXo42LJbRzRwKTqgq2NiqSuCsupmT3PnIXLDaZxsqOp5E1I42AxAQiBvcntGsnhBudTqTBQMmBQ5SfOKn0SgMC0EZFogkNBYMBadArPXEhCEiIJ7BRIsJGr12Wl5O/co1pP2L4YKJGDjXtByYlkjtf6UXlr1hDQFIS5adOU7r/EPq8PERwMMEpzQlu1RJtXByGoiL0efmUp6VTtH0nsszCMVwIwnp1RwQHU7h2Q5W6RE8YCxpBwdqNFO/cjdTpCIiNQRsbQ0B8HGHdu6CNsrXWrXfg7YJmiSpuzsZbHQ4s54NVDGz7KJWdCqReT+nhVFPPw4Rej6G42GYZEcMHE96vN5qgQERgIFJKirbuIG/xCmSJUQjPZCovewQFQnIjZcpCfIxbTL32HCqyfptNhXyHdulIzOSJtRIiIQShXToS3LoleUtWUrRtpyIogO5sBjmz55G/bBXhA/sR1qsbmmBbi3TXHWkwIMvKkWVlGIqKKNl3kMIt2zHkFzheiFZLaNdORI0cijZa8TQsP3WG3PmL0GflKPcZHExE/z5Wp4X16kbBv+vR5+Yhy8rJ+vHXKkXrzpylcEP1fnJBKS2InjCGwKREpJSU7NmHPsdi5pIQoNWgCQoiauRQK4H1dnxJ1Cpo2A4lDYmt/8HRE8p2l3bQrpXLL5ncvWf9Pc1wzENO6vUU7fiP0gOHKTt+AkNRURUzUUB8HEEtmhHWuwdBTZvYLEdfWEjeouUU7/jP5nG7NG2smDKd4IlaW49AfV4+p9/9xHS/ibffZLOHVtsyC9ZtpGjLduueiRFNWCiayAi0ERFoIyOU7cgINBHhYJCKSJWWIkvLjNtldtNkaRmy3CnTYhW0WoKaNsFQXILurLWZNvr88YT37lHllOJde8j+fW6VdEcISIwncsRQQjq1tzLfFu87QPYvf5j2Q7t1Jvai8+t0DU/gKkFzl0OJKm4NhdQ02LZb2W6SBAN6OnyqL86rkVKCToehrAyk0hiLWpgQdVnZFKzdQOnBI4igQLSRkWgiIxCBAeizcig/fRZDYaHVOQFJCSROvaFW16kPUkqlVzVnPuXpSlSLoJbNSbj+Kqddw1BcQuGmrRSu36w8MLgZTXgYod06owkLQ5aVoc/LR5aWgkaL0GpAq0WWl1N+8jT67Bz7BQlB1JjhhA/qb3f8sPi/vRSs3YAsLSMgMYGQDm0Jat4UXXYuZUeOUnrsOIaiIjQhoWijI9FGRRHctjXBrVvaLbM09RilR46iCQkmvF9vm2ZTb8PVvTTVW1LFucRGm7crxt7s4ItiVhkhBAQGoq2D5xtAQFwsMRPH2z0upaTsWBpFm7dRvEvx1tSdyUCXmU1gYrxD15A6HbKs3O78KkN5ObqzmRgKCzEUFqEvLMJQWIShqAhDQSHlZ85iKLAW2No4QziCJjSEyGGDiBjYl6LtuyjcuAVdRpZDzhO1RQQFIoKD0QQFoY2JJqxnV0I6tnfYvFp65Ch5S1ZSnn7S4gY0hHRsR+SwQQQ2qn7IILRLR0K7dKySHhAXS0iblNrcionglBYEp7So07nuxhdNj9WhiltDwXLMzcJN3B+EzBMIIQhu2RxtdJRJ3AAK121Al5WD1BsIiI0mtFsXgtukVHmyL967n5w//kbqdMpYV9vWBCTEo8/Pp+zYCcqOpVF+8pRp3KtGNBqix48hpH0t5/k5iAgMJLxvL8L79kIaDIrY5hdgyC9AX1CgbBcUoC8oRGi0iOAgNEFBiOAgRFAQmuAgRHCwsl2RXilPfT0yg1u1JPGWayk/m4E+Jw8RHERg4yQ0QQ7EH23A+JuoVaCKW0PBYkxDGx5OI1XUnEJhpXlMRVvNMcXL005QvHM32phoQrt3IbBRkmJKk5LsX/805SvetcdKIGuDCAkmuGULIgb3J6h5HWOH1pIRfc0OGSu32J7H5UkCExMITPShaRwewl9FrQJV3PwYy15Z0bad5Bi3A+K8O8SSLyECa/4L6XNyKVj5b53KD4iPQxsdhSY8DE1YGJrwMLQR4WjCwtBGRxKQmFCnMT5nNWz2yvFG0VNR8HdRq0AVNz+hJvNi0c7dpu2geoQYUrEmcuhADMXFFG//D6nXE9S0CaHduxAQE03JgcMU7dhlf44dIIKCiBjcn9KjRmeF0FACGycR1LI5Qc2bog0Ls3uuNzdStuqmCp5n8ebfiytQxc1Hqc1YmS5H8fYClEmmajBWpyECAog59xxizj2nyrHg1ilEjRlOyd4DlB5LQ5+bB0iQUH7yNIGNk4g+fzwB0VFUnrbrjw2R2svzDP74W3IEVdy8GGc5exSsMpvEgluneHUEBGfjrD92XRtgERBAaNdOjL/uaqfUwx+p/B2pYld/GqqgWeL34uZsb0B3TUp2FuWnTls5OYQPrF2096Kd/1F6+Chh3bsQ3Kqls6vnVFz5h1YbC/ehmjTrhvobtcavxS0w1Pb8ofrgS67zUkpyFy4z7Qe3bV2r+Tr5q9aSv2wVAMU7/iPhpmvsRvbwBOqfueHgD9+1swXaHz4TV+LX4gZKOCVNSIhbA756CyX7D5qX4BCCqHNGOXxuWVo6+ctXmxOkpOz4CY+Lm/qHVvFVHPntVieA6m+/dvi1uOkysjj91oeI0BASrr+KwKTEmk/yE6TBQN6i5ab98H69HI+cISW5C5dWiULh1Ph/DqL+oVUaEurv3Xn4tbhVNMayuITCzdtserT5K2VHj6PPUtYtEyHBRA4f4vC5urOZlKelV0mXej2g/gFVVFS8H78WN0v09hao9FOKd+81bYd162I3fqEtSvbut5lesPJf4hGk5hfSfFB/tGpYIxUVFS+l4YibByKaewppMFCyxyxQIZ072M1rqxe24PtfTNs9b5jCrhkz0ZWUAnB05RqOrlzD9u9+ZviTDxPbOsV5FVdRUVFxEn4tbtr4OPTG5dx1p89iKCtrEEFUy1KPYyhSFunUREYQ1KKZw6bEvBPp5BgnfGsCAmgzbjRx7dqw7p0PKcowL9xZnJnFsmdfYtADd9OkV3fn34SKiopKPfBrcdMEBSKSEtGdOQtSUrL3QIOIzqHLNItQ8949GNSnt0PnSSnZ+uV3pn2DTkdZYRFJXTox6bP3yD6cSvrmbez9Yw66klLK8gtY9dLrDLj3TloOG+z0+1Cxz8QuXR3O+/d/u1xYExUV78SvxQ2UiBy6M2cBKDlwyCfFzVBejqGwCG10VLXLglT0zlLzC1k3fzEApXnVr91mSfahI5zcst0qbe7Ue0jo0I6YlBZEt2xB4x5dadKrO6tfe4fizCwMOj1r33qfw4uX02r0CILCwwhvlEh082Z1uFOVytRGxOpThiqAKv6G34tbUHJjKpZzLDuWhjQY3LZScm3RZWRSfuoMAQlxBDRKAp2O3EXLKdqyHQwGApMbEz/lcjShIYB9r8XC02dM25FNGjt8/ZzUo1UTpSRj734yLJxMIho3os240RxdsZp84wrQp7fv5PR2cySU5kMGMuiBu9A0wPmFdcUZQuasa6tip+Lr+L24hXRqjyYsTFm9OL+A4p27CevhvEZE6vVIvb7eY3mFm7eR+/dC035AYjyGklIM+QWmtPL0U5x64z3GvvocCR3b266PlJzcusO0H9umlcN1CHVwKZyCU6fZ9fNMelx3FfknT3N48bIqc+KOr1lHQod2dLjgPIevbwt9uY6jK9dwdvceIps0pv35EwgICalXmZ7GkyLmKLbqqApew8DVv88ZLi3djN+Lm9BqCe/f2xRtI3/FGkI6tEMTElyn8nTZORRt30XZkaOUnzpjmkuniQgnsFESYX17EtK+rV3zoZSS0oOHKd69D1laSkj7toR270LBvxusr3M20+b5AOve/ZiJH75lswd6dOW/ZOzZp9y7RpDUtbPD99aoe1cimyaTf0KZ4xYYFsa4t14mP/0kuUePkZN6jBMbNqMrUZZw2T3zTyZ+PJ1OF19A6vKVZB86Qn76SVNvbvt3P1GUkUlSty406dUdTUDtfm4luXmseukNMvcfNKUd/3cDA+65jZgU745zWYEvCJmjqL07/8Kffpu2ELLSE7c/EZTcWCbeej2GklJOv/cJ0ujO3qh7V3rfej1B4WEUZ+VQeDaDM7t2k3XwMI26daHrVZdWMafpSkrY/v0MDi5YbJrMbI/A5MZEjhhKcNtWViKnLywk969/KNl30Cq/0GqtyhQaDdJgABSPxd63Xk9wZCRrXp9uyjP4oXtoMXSQVTml+QXMu+tBSnPzAGg/6Vx633ydg5+WQsHps+yb/ReFZzPoOHkSSV06Wl8jL5+FDz9lMn32uulaq96ZvrycBfc+Sn76Savzkrp2ZtQLT1U7ZmiJQa9n2TMvcfY/2ytUd73qUrpecYlp39//qN6OKnTejTf9P65t122zlLKvq6/TIMRteO9eHF31L2vfet+h8zpccB69brrWtC8NBla9/Bbpm7ZUySs0AqHRYNBVFbz4Du1oO34MMSktOLFhMwfmLazRwaPNuDF0m3I5JzdvxaDT0ahHdyIaKWHDNn3yJQcXLDZeV0PbCWPpcvlFhMTEUJqXz/LnXiH70BEAQuPjOO+DN10SPPrQwiVs/OgLAGJatWTCO69aHc8/eYo1r02vMoZ3yc9fExjqmEnx0KJlbPzwM2VHCOLbtyXr4GGrh4BBk85jwHnj6TJoICHh9hf1VHEvqtB5Bm8SsOpQxc0JxLVtLce/9bJpf9eMmeyaMavG8zSBgYx740ViUloAkLpiNeve+dB0PLFzR9qdN46krp0Ijo5GGiQFp05z6J/FHFywCH1ZzTEYW44YitBoSF2+yjReFdWsKaNeeIrQ2Bib55Tk5LLwoSet5ptpg4JoPmQA2YeOkHsszZQ+9PEHaTbAub8faTBg0BvQl5Ux+8bbTfc5YfqrVcyE53bsxIw33mH+l9+a0kZefgk3vzTNoWs9e8nVHN6hOKhccMetXPbAPRzff4BvnnmB/Zutg8tGJ8Tz8Fef0rKT/cnqKp5BFTrn4CvC5QiquDmByuIGkL55G4cXLePU9p1oAwMIjYslJDaG6ObN2DdnnimfJkBLs4H9aTVmBBs/+oKisxkAtDtvHL1vvcGuea04K4vdM2dzaOFSDDpdleNhCfH0+99U08Tn/PSTZOzdT1BEBI179UAbWP24VHFWFmvf+ZAzO3fbziAE/e68hTbnjK62nNqSfTiVVa+8RWlePs0H9yfVuBQOwNVPPMy5N1Y1f5aVlnJzV+vf8GPffUGXQQNqvN49Q8eQbTR9XvPko4y7fgpCCMpKS/nkwcfZ+M8iq/xte3bn2d9+rMutqbgRVezM+JNg1QZV3JyALXGrjsz9B1nyxDSbJkaAoIhwzv/0PYIcMIEVns3k6IpVnNm1h9zjaUQ1S6bNOaNpOqBfjQJWE1JKTm7eyubPvqHQOIcPFFPlwPvupGUtgiQ7Qn76STa//i6nbE0VAM6fehNXPHy/zWOnjx7nobHWHpPn3nw9Vz/2ULXXnH7nvWxetNS0n9S8GUMuuoBzrrmKiJho9m3czNIZv7F2rvmBZNx1Uxh8wUTa9Ojm6K2peBh/EbuGKlR1QRU3J1BbcQPI2Lufbd/+ZPI4tKTnDVPoOPl8Z1Wv3pTk5LLn9znoy8oIjYul2cB+RLdoXq8yLf+khXl5zP7wUxZ+/xP68qq90Apufvk5Rl52sd3jsz/6jFnvfmhykgF4/o8ZtOpqf0L9meNpvHLdLWSknbBKD42I4NFvPqNNj27kZmZy9+DRVuUKIXjgsw/oOXJ4tfep4t24UvRUIfIsqrg5gbqIWwU5qUc5tHApaes3UVZQSMfJ59P1iou9dgJ4bXDkz31o+07e/d99JtNgBYMmnUerrp0JjYhAV64jMi6G/hPG1egFeXjHLp695CrT/r0fTafvOWOqPSfr1Gl+fXM6mxcvo6Sw0JQ+4LzxTHniEaITE5j7yRfMfMfaUajHiGE89MVHNd6jiu9hKXqqSPkmqrg5gfqImz9R20Yg7cBBnrtsCiWF5pUU2vfpxZQnHqF199qVlXnyFH9//hUrZv5JWXGxKT0+uQkRMTH0Gj2CwRdMpEmrFLtllJeWsWbOX3z5xLNW6b3HjmLM1Vfwxk23W6X3HDmcBz//EBUVFe/DXeLm95O4Gyp1fao1GAx8dP8jJmGLiInm+mlPMeC88Q7PUavgVOpRpl16NYXGeXeWZKafJDP9JEd372HuJ19w+5uvMHDiBIry85k1/UP+nfs3Wq2WVl27cPG9dzLi0otY8PX3nDhgniO4ZfEyGre09tJs0jqFS+67qw53rqKi4k+o4uZHOMNMk37oMMf3HQBAGxDAEz98RfMOtkN91cSa2X/ZFLbK6HU6vnvuZXqMGMYbN93OwW3m8GHblq9k9/qN3PP+W9z04rO8cMW1VufO+/Ibq/3b33iFlC6d6lRfFRUV/8H3B5BUmNilq9PGH/KM698BtOnRrc7CBtBn7Ogqk6uDQkPpf+447nrvTf43/Q1Ten52Ni9NudFK2CooKy7mndvvIf3gIT5ct6Laa3722NOUl5bVuc4qKir+gdpz81FcNZhuOQarK695Mnp1pHTpxMt//c4f73+MQa+n95hR9Bg5jGCLqCkZaSf45c3pABzdbQ61NfSiCxh33dW8d9cDZJxIR6/T8eWT0/ju+VdsXisoNJSy4mJOHDjIipl/MHbKFfWqe20ozM1l7qdfsm3ZSkqLi2nbswfXPPUI0QkJbquDioqKNaq4+RCu9A47c+w4m5csY+G35onQwU4I3ZXYrClTX3vR7vExU65kyc+/kmEM1gwQEBjI5Q/eS2yjJJ755XveuPl2k6m0vLTU6vywyEjueOtV0g4c5Jc33gFg3V/z3Cpub95yp1WPM+NEOsFhodzy8nNuq4OKSmWGJCa7pNw1Z9NrzuQFqOLmZbjLvbm8tIytS5ezf8tWdq9dbxIPS0ZdcanL6xEaEc7j33/Jz6++xb6Nm0lo2oTJd91ObKMkAGIbJfHkT98w+6PP2DB/IZnpJwkMDqZ196506t+XMVdfQUxSIsltWpnEzd5kc1eQkX7Spil1x8rVbqtD5UbMVxqfhoarxMbdOHIf3vAbbLDiViEinoiQ4On5OTlnM3j1+lutPA8tCQoN5eJ77mTg+ee6pT5JzZtx74fv2D0eHhXF1Y89xFWPPkhuRiYR0dEEBAVa5Ulomow2MAB9uY7cjExKCotcHkxZV1bOyll/2jymtxF6zZlU18DUphH1hkbIW/EXMfIE3vDZNShxsyUqnhYadyKlZNuylXz/wiucrRT5IzAoiC6DB9J77Cj6jB1NVHych2ppHyEEMYm2x7E0Wi2JTZuaem2njx13aSBlvU7HG7fcwe61620ez8vM4t3/3U9EbDTjrr26Xo45FbiiwfBUI+RpUfWGxlfFtfi9uDUk8aqOkqIiPn7gUbYsWW5K02i1jL9+Ch3796PzwP5O7enYajyc3aBVvkbXTp1M4rbph1+45P13CQ6u26K0NfHDl1/ZFbYKNi1Ulida88dcnprxHa272Q83Zg9/bYRruq/6/Fb89TNTqR1+LW4xLljLzFf59c13rYQtLDKSW155nn7jx9apvLo0ILU1l9X2GpOvvILF8xcA8Oevv7FyyVIuuvIKrrjuGtp2cG4vbvG8+VXSrr31ZrIzs/jr9z+s0svLylj1+Te0fu+NKufYQm2c1c9Apf74dfit1t26yOf/+MXT1fA4JUVF/G/gSFP4q6EXXcBVjz7okOnRlxoZg8HAHddcxyIbwjNw6FCeePF5uvbs4ZRrffrue7z2rLU35HW33sK0N15j946d7Nq+gzOnTvL2S8rUheCQEDYe2EtEZKRTrq+i4qu0jol3S/gtdRJ3A2DL4mUmYWvatg1TX3vRrrANSUy2evkSGo2G977+kgeffpImzZpaHVu3ejWXjpvAhjX/OuVazVq0qJKW1KQxAJ27d+Pya6dw18MP0dY41lZaUsLLTz3jlGurqKjUjCpuDYA1s+eatrsNG1wlRqSvipktgoOD+d+DD7By+1a+nvkrEy6YRECAYn0vKyvjsXvuwxnWiv92VHX/P3LwUJW0Ox8wr3M349vv2LSu+nE6FRUV51CjuAkhLhVCzBJCHBVCFAsh9gkhXhFCVLGvCCEGCiEWCCFyhBCFQoidQogrK+UZKYTYK4TIE0J8KoQIsjiWIoSQxleVpaSFEKuFEMvreK8NFp3FWmw7VqzGYDD4laDZQqvVMmLsGD767hv+WrWCEOP4a+qhQzxx7/0cPXKkXuX3HTiwStofM34hP886luaFl19GnwH9TfvbNm2u13VVPEMjmV2vl4r7ccSh5CHgGPAEkAb0AqYBo4QQg6WUBgAhxETgD+An4GqgDOgMhFQUJIQIB34FXgO2Aa8A9wK2RtpfAgbV4Z5UKjHi0otMnn3ph48QczIDGjXzcK3cR/tOHbng0kv49fsfAPjlu+/59fsfuP3+e3no6adqvdoBwOjx43jihed5+WmzqTGpcSPCIyKs8gkhaNqiBZvXbwAgItL6uIr78YTYeFLgTotYj13bkzgibpOklGct9lcIIbKAb4GRwFJjL+5r4CMp5X0WeRdXKqsTcFxK+RaAEOIFYCpVxW0hME4IMUlKOReVetExJt5qP7QBepE++tyz7Nm1i51btwHKnL+P356OEIIHn3oSIQR6vZ71q9eQlZnJ8NGjiYqJtlvevD9n8+aLL1mlPfzM02hsLGYbFR1l2p4/ew6XXTMFrVbrnBtTATwrHt5OfT4bXxbGOnlLCiE6AbuB66SU3wshbgK+BFpIKY9Xc14ScAC4ENgJfASkSSkfNB5PAY6gCN7tKOLbUxorKYRYDeiklCMdqafqLQlH/1rIU/c/aNrv0Lkz89asrFNvxdfR6/WsWLyET6e/x8a1a03pvfv347zJk1n4199s+FdxOGnfqSMffPMVuTm5ZGdmkp2VRWxcHMNGj8JgMNC/fUcKC5TVwcMjwnn53elMuuRim9ddu3IVUy6YbNq/5a7/cdGVV9CqTWuTuVTFjCpU3k99RM9d3pJ1FbfbgY+BflLKTUKIr1AE61oUk2Mn4CTwBfCilFJvce7dwNsowrUJmCClzDQeS0ERt1uBE8A84Cop5QzjcVXcHGRIYjIZZ88yuk8/CvLyAWjesiWf/fwjHTo37PXOysrKuG3KtaxYVNmwUDOdu3Xjlrvu5IHb7gCgSdNkvv/zd1q3a1ftea8+M43P3nvfKq1Rk8bMmPcXLVu1qnU9fBFVtBoGNQmf104FEEI0BZ4HFkspNxmTk4EwlPG2b4CxKGbLp4E3Lc+XUr4PJAHtgAEVwlYZKeV8YDXwvBDC4cnmQoipQohNQohNeVkN789k6STy3muvm4Stdbu2/LVqeYMXNoCgoCA++eE7brvvHpMnpaPs3rnTJGwAoyeMr1HYAB6Z9gxDR420Sjt98hS3T7kOvV5v8xxfRHWqUPGW77tW/2whRAQwG9ABN1oc0qA4jjwppXzbmLZcCBEP/E8IMU1KmVuRWUqZDThy908AK4EbUHqBNSKl/Az4DJSemyPn+AOVvR5LS0uZ/etM0/6TL71IZFRU5dMaLMHBwTw67VmuveUWZv30M7u2bSMqJobrpt7CyiVL+fy9DygpLqasrIxR48dRmF9gMllaEhcXb6P0qmg0Gl585y3G9OlvJWb7du+mqLDQZ74bb2i0nEVh+iq3Xi88eZhbr+dpLH8rnhi7q02PKASYA7QGRkgp0ywOV/S+FlU6bSHK2FkXoNazZ6WUq4QQC4BnhBDf1/b8hoItd/5/V6w0uaU3b9mSkefULcyWv5PcrCl3P/KQVVq3nj3534MPWKVJKbnp8iurmDKHjakyY8UuLVJSiImLI/PsWat0TwmbPwlVZdwtXI5QXZ38XfgqfmvuFDmHxE0IEQjMAvoDY6WUOytl+c/4XrmnVOG1YKhzDeFJlLG52+tRhl9S3Ry1v2b9btqecMGkBulA4kyEEEz//FMeuv1/LFmwgLDwcB548gn6DhzgcBlSSrAxxr1p3fpaleMI/ixc4J3iVR/s3Y+/iZ47f5c1ipsQQgP8CIwBJkop19nI9ifwAjABsFwgbTxQUimtVkgptwghZqGYKNOB3BpO8Xtqmni9ZME//PHLr6b9cy+c5OoqNQiiY2L4fMaPlBQXow0IIDAwsOaTLBBC8NnPP3DndTdw+uQpU/qh/QfqJW7+LmTgf2LmKLW5b38TwvriSM/tQ+AylEnVhUIIy9AMaVLKNCnlLiHENyjOHxpgC4pTyS3AC1LKgnrW82kUgUwCVtSzLJ/GkYgi8/7407TdpGky3Xv3dmGNGh71cd/v1a8fMxf+w7Bu5gDO7TrWbcUCfxa1hipm9cHRz6yhiKAj4laxHPOTxpclz6FEKwG4DcV9/26gEZAKPCClfLe+lZRS7jWOud1Q37J8jbqExwq3iIJx/sUX25xYrOI5XnzC/Ddq074dPfrU7uHDX0XNk4J2YnPVlSTqQtM+7lm9vj7U9Dn7i/jVKG5SyhRHCpJSlgFPGV91QkqZinmcrvKxG7H20PQ7nBXnsUPnzqbtUydPOqVMFeeweN58/pn7l2n/pXfedjhaib+JmrvEzFnC5Yxr+ar4+aLg+fVipd6MKwMWd+3R3bS9eN58SktLXbYitYrjFBYU8Owjj5r2L7tmCv2HDK7xPH8RNVeLmTtFrK5Y1tEXhK6Cyt+dL4idKm4uwpPR9i3H2IqLiti1bbtVZHoVz7Do73mcTDsBQFx8PI89P81uXn8QNFXMqqei/r4kchVYfrfeKnSquNUDb10uRghB99692LFlKwCP/O8u5v+7mqCgIKSUHNy3j39XrGTzho3ExsVy9Y03qpFL3MDe3btN25ddO4XYuKoLxvqyqLnDzOjrgmYLX+3NVVDxvXubyKniZgdvFS5HeeKF57n+kssoLSnhyMFD/DHjF8IjIvjgjTfZv2evVd7vP/+Scy+8gNc+eI+IyCrL9Kk4Cct19YKCFDOxKmY144+CZg+1N+c8GqS4+bpwOUL/IYO57d57eO+11wF4/J77qs0/f/YccrKy+PLXGWqkehfRuVtX0/ahHZu9Wti8wRW/IYlaZXxZ5ED5/Xha4Oq0KoCv0LpbF7lktef/pJ7i5IkTjB84mIJ862mGYeHhDBs9iv6DB7N+zRoW/vW36dio8eP4+PtvCQoKqlyc11FbcXB3fLvK9duz9wB9BymNVePGSRzaU+uIdE7DG8TLHt4garvXrrF7rPOgIW6sSVV8SfBsCVx4bFvvXfLGV+jWq6ecs3ypp6vhUTav38B9t0zlVHo6yc2aMfmKy7lu6i3EJySY8nwy/V1en/a8aX/iRZOZ/sVnJGvy3FpXW+Ljjt5NXUWvtnXT6/U0admLwsIiAA78t5rk5MZ1urajeLOIWeIOQatOsOqLJwXP28WussC5S9wapFmyIdFnQH9W7dyGlNJufMln770O8jN4/a2PAPj7jz8RpQVMf/M5mjRp5La6espM567rarVaevXowup/NwKwZdtOp4mbr4hYZVwlaq4UMkeu506xq/wZepvYecpEqYpbA6ExOVXDWlvwzJP3k59fwMeffQfAX/MWs2LVWp5+4n5uu+WaWq97pmKb3r27m8Rt9tyFnH/eOfUqzxdFzdmC5m4hcwRV7KzxhMCpZkk/pza9EoPBwMOPvcAnn1uvLtS9Wyfee/sF+vXt6eTaNTw2btrGyHMuBSAwMJA925fXqXfsS6LWEMTMUTw9XgeeFbvw5GHqmJszaKjiVl8z24pVa7n/oWns23/IlBYQEMB3X73LhZPG17d6DZ6xE65g7frNADx0/+0898xDNZxhxldEzRXmRl8Wtcp4g8iBZ4QuqcuNqrjVl4Ymbs4cOyorK+PdD77ktTc/pLi4BFAE7refP2Xc2BFOu05DZPbcf7j6uv8B0KxpE/buXFnjenveLmqudAjxJ1GrjLeIXAXuEDtV3JxAQxE3VzpEpB49zuRLb+LAwSOAYqJcu3Kuy67XENDpdDRr3Yf8/EIAdmxeTJvWKTbzeqOouctV359FzRYNRejcJW6ql4CP4i4Pv5SWzflz5ld06TkKgEOHj7rluv5MQEAAQwf3Z/4/ywBYs3ZTFXHzBlHz1HyzhiZqFVTct7eInK+HBVPFzcfwhLt8yxbN0Gq16PV6CguL1FUGnECkRZgzS+uJp0TN2ydO15f1ezKcVtaATgk1Z6oH3iZy4JtCp4qbj+DJUE1CCGJjo8nIyAJg994D9OrRtYazVKoj9egx03brVi0A9wqbN4hZBa4QNWeKWXVlu1LovFHkwHdCg6lLNPsA3hCDsHkzczzOkWMv5cFHniMtLd2DNfJtjqQeN223atncrdf2Z2FbvyfDpcJm73quvObutWu80lTrTb8jW6ji5uV4g7ABPPrQ/9BolJ+LTqfjk8+/Z/jYSzh58rSHa+Z7FBQUcvZsJgBBQYE0adJIjbBfT9wtatXVwVX18EaR8+bfkypuXoy3CBvApInn8OfMr+jW1bzu2+nTZ7nptgfJzsn1YM18j6ysHNN2YkI8Wq3WLdf1toaovg21O3pNdcWVdfM2kfO231UFqrh5Kd4kbBWMGTWUtSvn8MqLj5vSVq5ax6Bhkzh+3HETpcFgYM2/Gzl6LM0V1fR6ysrLTdshIcFuWbHamxqg+jbO3ipo9nC1yHmD0HnT76sCVdy8EG8UtgqEENx9503cMfU6U9rxtHQuufJWfpzxB7Pn/sM/i1aQnn7K5vlZ2Tlcf/O9jJt4FZ17jGT0uMtYuHiFu6rvFZSVlZm2A0R5NTnrjzc1Os5oiH1J1Crj7+Ny3vRbA1XcvA5vFrYKhBC8+dozfPbxG6a0/3bvY+odD3P1df/j4stvpkO34Vx/070cSVW8AgsKCrnhlvtp3rovv/9p/hOs37iViy67mW9/+M3t9+EpLHtugYGuc1j2psbG0w2vt+Dvzife9JtTpwJ4Eb4gbJZMufIi9u07yFvTP61yzGAwMPOPv5k7bxHXX3MZm7fuZPOWHXbLuvPux8nLy+fuO29yZZW9goopFQDBwYFOL9+bGhhnNrS+3GurzPo9GX47jeDE5vleMU1AFTcvwdeErYLnnnmIUSOHsHTZao6nnaSkpIQT6afYsnUnAKWlZXz25Y9W5wQGBtK4USJTrrqYeQuWsGPnHgAef+oVhgzqR+9e3dx+H+5k0ZKVpu0enVs6tWxvETZXuPj7GxX35GqR87Z5cu5CFTcvwFeFDRQT5agRgxk1YrBV+oaNW3nw0edNIlfBs08+wCMP3Wnav/P26znvgmvZ9d9epJT8OWeB34vbAmPYLYBxI3s6rVxV2HwTV4uct04GdzWquHkYXxa26ujfrxcrFs9iwT/LWP3vRkpKSph43ljGjBpqlS8+LpaRIwax67+9AOTnF3iium7j4KFUDh5KBSAsNIjB/To6pVxvEDZfizTibbjDVOkugfMG06Qqbh7EX4WtAo1Gw3nnjuG8c8fYzVNcXMIvv80x7ffp08MdVfMYc3770rQ9fFAXQpww5uZpYXOVA0NDErYK1F6c81DFzUP4u7A5yj+LlpuidQBcdvFED9bG9WzfnWraHjGoi+cq4iR80QsyPcdQ53OTY9zjYO4OkfN3gVOnAngAVdjMBAVa91yWLF3toZq4nsL0VRxONYcr69AmuZrcjuHJZWl8JYp/Bek5hnoJm2UZzijLEXx52oCnLQqquLmRRjJbFbZKTBg/ioH9e5v2585b5MHauI6KKCSnz+aY0pIbx3moNnXHHfOonN2gu1KI3CF27pgb54+o4uYiKoTM8qVSFY1Gw/333mra/+6HmXzw8dfk5xfgj6vEx8VGmLZzcgs9WBMVV+CO3pwr8EeBU8WtntgSMVXIasd5E8YwbuwI0/6jT7xE4xY96TtoAhs3bfNcxZxIePIwAJIbmXtrh47aDlFWG9ztkebv4zT1xV1jcr6CJ02TqkNJLVBFyzVoNBq+//o9JkyawtZtu0zpe/cdYuQ5lzJu7AiCg4MoKCxCV17ORReey223XuvBGtedHl1S+Gf5NgDWbtzHpecPYvOOwxw8cpKS0nICtBpGDelK0ybxnq1oNXQeNMSlT/oDOiU41QyXHKPx2R6VO/E3JxNV3OygCpl7iYgIZ+4f3/L0tNdZtHglaSdOmo5VDqy8as0GkpMbM2niOe6uZr0Z0r8jfKhs/zBrJfOXbiEz23punxCCkYO7MOWS4Ywf1ZPgIOeH6KovrhY4FWtcOf/NX1H70EZUs6LniY2J5oPpL7Fv1yq2blhIm9b2Q1PN/ds3HU/69WxLqxZJpv3KwgYgpWTZml3c8sBH9Bj1AE+98hP/7TteJV8Fnpos609P+SoK/vTA0mDFTRUz76Z9u9ZsWf8PyxfN5Nsv32Xo4H5Wx+PjYz1Us/oREKDl9WeuQ6MRprToqDAunNCPay8bwbCBna3yZ+UU8NkPixh18TOMu/w5vp6xlNy8IndX2y6+InDuGAtTx9ts46lxN+GPHmkVdOvVU85ZvtQqTRUy36KsrIzLrr6NxUvMC3pGRUawbvVftGzRzIM1qz2Wi5IePnqKjdsOERMVzojB1pFKjp3IYMafq5nxx2rSTmZWKSckOJCJ5/RhysXDGdyvAxqN0qh6cvDeF0JvuXrczZXi5m6zpLMfWiytC0ldbtwspezr1AvYoEGNuanC5nt8/Nl3VsLWpXMHvvjkTZ8Ttsq0btmY1i0b2zzWomkCj/xvMg/dcQEr1+3h599XMW/JZkrLdACUlJYz6691zPprHS2aJXLV5KGMG9mTSJ2BwAC192APX3UsUcfb6kaDEDdV1JxHaWkpBw8dJTX1GI0bJ9Gje2cCAqx/RidPneHYsTSCgoKIjIwgpWWzKnks0ev1/DVvMfkFhUwYN5KEeLO7/IqV60zbF08+ly8/fYugoCDn35gXotFoGDm4CyMHdyE7p4Df/17HT3+sYueeY6Y8x9LO8toHf/DaB38QHBRAu2ZRdEqJpXOrWDq1iqN1cpRbBM9dDiZSSoqMC5kHaECrgawiya50PTnFkiZRGno00xIWJKovyMn4m0nSHzwn/VrcAtGrwuZEvv9pFvc/9CzFxSWmtMTEeC69+HzOP28s/fv25OXX3mf6+59bTcAODg6iZ/cuXHjBeC6ZfB7NmpnDTun1eiZfdhNLl60x5R09cggXTBqPNBj4Z9FyU95RI4Y0GGGrTGxMBDdPGcvNU8ayc89Rfvp9FbP+WkdOnnkieGmZjl2Hs9h12GIx1EAt7VtE07lVHD3bJzCiVzKhwa752ztL4KSU5BUbiImJ5N89OeQUS7KLJLnFkpxiia6azldajp4taXq6NNbQJVlLQrhACPcKnSUVYpxfKinVQUQwRIcIArSCvGJJapaBswUGNAKCAgSJEYImURoiQzxXZ1fgiVUC/HrMrXevbnL1sj89XQ2/4PSZDLr1Hk1hYf2dGQb2702vXt1olJTA1m27mD33H4fOm/P7N1WWzPE1LMfd6ktJaTkLlm5h7sJNbP8vlWMnah6jiggNZMKgFkwe3orOrWKtGn69wUDqyXz2puawJzWbg2m5CAGxkcHKKyqYiNBADhzPZduBDDJzSmgcH8bY/s04b3BLmsSHse9oDm9+tYqCEgNtGwUxsWcE0WHaautUrpfsTS9l4+ESjpwt42SujuIy57RLYUHQIlZDyzgNzWM1hAWJGk2TJeWS7GJJcADEhtoXRyklBzMMpOdKNAJCAwWhQSAl5JdI8kslBaVgsHErQVoo09uvQ6NIQddkLTeMSkLjQXF2Zu+tQtzcNeamipuKQ/w26y9uuOU+0/7woQPYd+Awp0+ftZm/aXJjEhLiOHM2k5MnT9vMU1vyM/ebnCd8FWeKW2Uys/PZsfso2/9LZd2adew+ks2pTPsPI+2aR9O+RQxajSD1ZD77j+VQUl2LWwNhIQGUlOoxWLQpYUGCC3tH0iopCL1BkpGv52yejowCPWfz9WTk68gurN04WHAAaAXoDMorUAvNYzU0iRLsP2PgdL79Ni0pQtAiTkN4EMSHC5NwVPSwjmYb2HvaYBKkpEjBkFZatEbvVoNBsjVNT1aRJLfE3lWcx8hOYdw60nOewb4sbn5tllRxHpZPrxdOGs9P332IXq9nxap1zJ7zDytXr2P/gcOEhYVy841X8eK0R0zjbGczMpm3YCmz/vib5SvWotdXbUATE+PZtHY+eXn5zPlrEXPm/sP6jVtNx4cN6e9R85IvEB8byaghXRk1pCtMPZ8Tm+eTlVfCntRsdh7MZN7aYxw/bZ5Xd+B4LgeO5zrt+kUluqppZZKf1+XVuqyQQEHj6AAaxwSgLy8jJlQorzBBaKD930HPZpLj2ZLdp/QcyzJQuUpnCiRnCpTfn1YD4UEQHCAoKJUUl1ct70y+ZOMxPR0baQnUwL4zBo5k1a5DEBwAkcGC4EBjj64EJIpAN4sVNI/VoNUICkslp/KUnmCFuC7fU8SeE6U0iQ0gOlTLwDahdG8RUqvr1wdfHntTe24qDrHgn2VccqUS4Hjc2BH8YbHoZgWZWdlERUYQGGg/osbZjEyWr1hL+slTnDmTyekzZ4mJjmLqLdfQvl1rq7ynTp/l6NHjSAl9enertlxfwZU9N1tYTg+QUrJlXwZ/rjjM4o1pNntpibGhdGoZQ8eUWDq2jCUwQEN2fqnyyisht6CMJgnh9OqQQMvGkWzcfYbZK4+wJzWb/CJFHZonRTB5RCtmLNjN2fyae4JCQFKkll4tQ+iVEkLT2EBiwjSmh5m6TgkwSMnZfMnRLAPHsg2czJW4orWLDoExHQMp1UmKy5T7iQgWRAZDZIggUGstxnqDpLAUQoOocgyguFyyZJ+Owxm2e7Q3Do9hbJdwF9yJfZwlcE37nKuaJZ2BKm7OY9Wa9Uw4fwoAQwb1Y+G8nz1cI9/E3eIGtue/5ReVsWnPWfKLyinX6UmKC6NTyxgSYkLrdA0pJVl5pRSWlNMsMQKNRlBcquPvNUdZsno3WQV6NAISI7UkRAaQGGV8j9QSF64lwEYjb4kz5ryV6iRp2QaT2OVVMisGaSEqRNAkWtA2QcPGY3rScuy3j12aaAjSCvq0cL53ZplOsjFNw+bUqrZPjYDrhkYztku426wZvihuqllSxSGysnJM2xER7n1q9CfCk4e5XeCa9jm3isBFhgUxqk9Tp11DCEF8dAjx0WaTWWhwAJeObsOlo9sA9Zvo7YxgysEBgjaJWtokapFSMUMWlkoKyyAkUBmPs4wc0yxWw97TBg6cMZBhHBcMCRAkRQr6pwQQ5SKPxop5bcO6QV6xnp3HSzmVq2PN/iJO5+kxSPhmVS5L/iuke4sQmkQrDwtJUQEkRTm/SfdVs6QqbioOkXrUHNswpaVvT6BuiFQM5nsyiklFI1lXkXPmagFCCMKCFIeXxGrydGqspVPj6r09nUnlCdtRoVqGtA8DYEyXcN74O5PUDMX8ezxLx/Es69iknZKDuHdcHJGhzqmzrwobOBBbUghxqRBilhDiqBCiWAixTwjxihAi0iJPihBC2nnFVCpvpBBirxAiTwjxqRAiyE45o23UZbUQYnn9blmlLhw9mmbabqmKW72oWNvNE3gqyLIlnQcNqXOj6a/ROgZ0Sqjx3mLCtDx7USITe0YQFGC717gnvYz3FmaRU1R3r1d/wZGe20PAMeAJIA3oBUwDRgkhBkspLUc9XwHmVDo/v2JDCBEO/Aq8Bmwz5r8XeMPGdV8CBjlyEyquZ9d/+0zbvh76qqHjDb04qPuk7woRcHbsSU9RG8EOChBcPSiayb0j2Z1eSurZcs7m6ziZo+PQGaVHtzu9jHu+P8XANqFc2j+qzqZKX+61gWPiNklKaTmZaYUQIgv4FhgJWEYmPiylXId9OgHHpZRvAQghXgCmUlXcFgLjhBCTpJRzHaijigvZt/8Qa9ZuBJSQUP379vRshVScgq2xOHdTn6gmlqLgi0JXn15oWLCGvq1C6dvK7AA0a2Mev29S+hJ6A6w5UMyGw8U8dF48XZvVbvqArwsbOGCWrCRsFWw0vtd2RPoY0NZomowHrgH228g3E9gCvCjUyU0eJSc3jynX/8+0P/6cESQn2w74q+I4njRNWtK0z7keN1U6oyGtMOv5itnSFfW8uG8kd50TS4cm5hB15XrF+aQ2XvH+IGxQ9/XcRhjf91RKf0UIoRNC5Aoh5gghulkelFKeAZ4CFgEZQGvgZRvlS2O+7sAVdayjihN46tnX2LP3IABBQYE89vBdHq6RiivwB4GrwNtFzlV1E0IwqG0Yz0xO5OYRMab0kzk6npx5liNny2osw1+EDeogbkKIpsDzwGIp5SZjcinwKXAbMAplnK4b8K8QopPl+VLK94EkoB0wQEpZdcEqJd98YDXwvBDCYaOxEGKqEGKTEGJTRkZWzSeoVMvyFf+att+f/hJ9+/TwYG38C2/pvVXg6V5cfRxNbOFtvTl31mVkxzBiwszN+9GMcp6aeZYVewsx2Ah26ezP3huo1SRuIUQEsBxIBvpLKdOqydsc+A+YI6W8xsHyU4AjwK1Syi+EEMOAlRb7qwGdlHKkI+Wpk7ityc3NZ8HCZRw+cpRGSYmcP/EckhLj7eY/eiyNbr3HmMJlnT6+XZ3j5mQ8ManbUfxt8VNL3D1G5wmBPXK2jPcXZXE619pzskV8AK9c3si0705R88oIJUKIEGAe0BMYIaXc6cA584A2UsoODl4jBQtxM6bNB7qg9PSWoIpbrcnMyub9D7/i48++o6DAvERKTHQUH3/wKhecP67KOXq9nkuvnMrCxSsANSqJK1EFzjbuWB+uMvURPW/pIVZmb3opr/6VQbmFxnVoEsTXz5/vsuWP7OF1EUqEEIHALKA/MNYRYas4Feodzu1JYBNwez3LaXBIKXn73c94/a2PrEStgpzcPK676V4WzP2RgQN6Wx17atrrJmEDePrJ+1xdXRUvxJPTBty1AKol3ipQ9aFjcjCvXt6IB382r86x72QZr323hWm39vdgzVyLI5O4NcCPwBjgwhpc/S3PawEMAdbXp4JSyi0owvoEoNrEasHmLTt45rk3rIStQ/s2TL15CsnJilmivLyc+x9+1sqb6oeff+e9D8yBkR+4dyrDhgxwX8UbGN429mYLT43H+ds4kLPYm17KR0uyeOK3M3y8JIv1h4opKbe/dFDjmACeujCBvp3M8Vjmrj7Kmaz6r8/orTjSc/sQuAxlUnWhEGKgxbE0KWWaEOItFKFcC5wFOgCPAwZse0PWlqeBXSiOKCtqyKtiJDDIOor+bbdcw5uvPYNGo+G+e26lz8AJFBeXsGPnHp569nXuuetmDHo9Dz/6vOmcSRPP4blnHnJ31VW8FE/Mjatv2C5/w3I+GyjOIqv3FxMZouHifpGM7hRuMxD1JZeM5hLguucWs/NQFgYp2XEoi7FxYW6svftwxFuy4nHtSRTxsnzdYjz2HzAUxWNyEUoEkzUo3pD7qCdSyr3A9/Utp6HRo1tnrr7yItN+fkGhabHPli2aMXSw2SQx/f3Pad1hIG07DyEvX4lX165tK7745E2fXyDUF/CF3lsFai/Oc+j0kgU7Cmweyy8x8O2qXB775QybjhSbrDEVnpBFJeUs33KC/cfMa/j586owjkziTpFSCjuvacY8X0kp+0kpY6WUAVLKxlLKq2srbFLKVGO5X9g4dqPx2MjalNnQuWPqdabtP+csoKSk1LQ/csTgas+d/tbzqnekil08PTeuIVJcbqCozCxID54bx0V9IomPMAdKPpmr450FWbz+dybhrbrz88ID3P7aCkbc8Sf3T19DqdGzJDIskAFdGlW5hr+grgrg5/Ts0cW0XVRUzP4Dh+neTZl6eNcdN9AqpTmbt+xg3fotbNy8jbKycgICAnjmyfsZOVwN7alSPe42U3rCycSbiAjWEBuuIdu4BI8Qgkv7R3FB70gW7ixg9pZ8k/jtOF7K5EdsfzdCwJM39CEqPMjmcX9AFTc/RkrJnfc8YZUWGmqOMRcQEMCFk8Zz4aTxAJSUlHIi/SRJiQlERka4ta4qvos3xKhsKAghGNw2jL+3K6bJJf8V0qtlCEEBgvN7RTKiYxhPzzprdwX0ds2j6dU+gXMHtaRne//zDLVEFTc/5eChVHoPGG+agA2KibJd21Z2zwkJCaZN6xQ31E5Fpe40dAeTUZ3N4rb3ZKnVschQLa9cnsSXK3LYcLhYCXTeOYkRvZMZ3jOZRn7qPGILVdz8lDvvftxK2C656Dxee/lJD9ZIxZ/xlBdlQxS4xtHmZru4TGKQEo1FfPnQIA13nROHTi/pPGgwAdqG6RDWMO/az9m6bZdpiRqA5s2SefO1Z9Fq3beisErDw1MelA3NizKnyDyfLSRQWAmbJd2HDvU6YXPnA5B33blKvXnmuTcYOmqyaV+j0bB1w8JqY0iqqDgLT3lQNiSBW3ew2LTdMiGwmpwNG1Xc/AidTsd7H35llTbt6QetnEhUVPyVhiBwUkqW7zFHHBra3vYYWkP4LGpCFTc/4tSpM5SXl5v2v/jkTR64d6oHa6TSEPGnZXO8jUNnyknL1gEQHCAY1Da0hjMaLqq4+RH/rtts2u7VsytXXTEZdSFzFU/g6Qne/ipwyyx6bQPbhhIaVLUJ99d7ry2quPkJpaWlPPPcG6b9Ht07e7A2Kiqex98a+eIyA2sPmMfbRnWqapL0t3uuD6q4+Qkz/5jH8bR0AOJiY3jikbs9XCOVho6ne2/gX2bK9YeKKdUp0UeSYwNo28h/o4s4A1Xc/IQVK9eatq+dcilNmzbxYG1UVBS8QeDAP3o0libJUZ3Cqgw5+MM9OhNV3PyEPXsPmLbf/eALnn/pHb+O+K3iO6gCV39O5eg4eFpxFtNq7HtJqphRxc1PaNmiqdX+a29+yKw/5nmoNioq3omvmil3nTCH2erePISoUOuADL54T65GFTc/4ZMPXuPJx+4hJjrKlHb/Q8+y6796L6enolJvvKX3VoGvicHedLO4dWka7MGa+A6quPkJERHhPPHoPezYssQkcFnZOTz06HMerpmKioK3CZwvcTzTPH+1feOqjiS7165pkHE2q0MVNz8jPi6Wr794x7S/d/8hD9ZGpTb40mrcdcWbBM5Xem8GKTljsYRN4xj78e4rRE4VOnVVAL+kR/cuNWdSUVHxCbYfK6XMOAUgKkRDeLBjfRJLgfMVIXcmas/Nz8nMzFa9JlW8Cm/qvXkzeoNk4a4C3l+YZUrr27pucWIbYm9OFTc/JCw0BI1G+WoNBgPvfvClh2ukomKNtwict/ZoynSSN+Zl8u2qXNPE7YgQDRf3jarhzOppSGZLVdz8kMjICG675RrT/pPPvMpV197J0uVr1F6ciooPsOS/QnYeN3tINorW8sSkBGLDnbcmo78LnSpufsorLz5uFV9yzl8LmXTR9QwfczFz/16EwWCo5mwVT9EQnEpUambbsRLT9rD2obx6eSOXrt3mj0KnipufEhgYyCsvPl5lLbctW3dy5TV30H/IRGb8OhudTuehGqqoqNijtNxsYRneMZygAPet7uEvIqeKmx8zYtggDuxew58zv+K2W64hJMQ8+XPP3gPcfNuD9Ox3Dl99M4PS0tJqSlJRcT7quJt9okLNTXNBiWesLL4ucKq4+TmxMdGcM2Y4b78xjd3bV3D/PVOJiAg3HT+Sepy773+Krr1H88HHX1NYWOTB2qqoqIC1uOUW66vJ6Vp8WeBUcWtANEpK4MXnHmHPjhU89fi9xMXGmI6lp5/m0SdeonOPEbz+5kfk5OZ5rqIqKg2ciBCLnlupZ8fHfVXgVHFrgMTFxvD4I3eze/tyXnr+MRo1SjQdy8jM5rmX3qZTt+FMe+EtzmZkerCmDRPVqUQlwyIiSVSI8zwk64ovCpwqbg2YyMgI7rv7FnZvW870N5+jRXPzygJ5+QW88fbHdOo+gocff5ETJ056sKYqKq7FneNuhaUGNh0pZvuxEg6fKeNsno6ScgMGKckv0bNgRwHrDppX3E6O9Y5AUr7maCL8ed5T717d5Oplf3q6Gj5DeXk5v8ycy1vvfML+A4etjgUGBvLIg3fwyIN3EhDgHX82f6YwfZWnq+A2Tmye7+kqAO7pnegNkkdmnOZUrmPjaJ2Sg3jiggQ0wn3eko5Qn4eBXtf9ullK2deJ1bGJ2nNTMREYGMg1V13MprXz+eGb9+nerZPpWHl5OS+9+h7nXXAtaWnptSq3sLBIdVRRadAYpGTfyVK+XJHjsLA1itJyz7g4rxM28A0zpSpuKlXQarVcdOG5/LtiDr//+iV9+/QwHVuzdiMDh01izl8LHSprxq+zadS8B42a92DoqMn8PW+xGiVFpUEhpeTVuZk8/2cGK/ZWfciLC9cSaBxWCwkUtIgP4JrB0bx4aVKVRUlVHEc1S6rUiF6v5813PuGlV99Drzc/dY4ZPZR+fXoSHh5GeFgoYeFhtGzRlEED+hAYGEhxcQkduw8nIyPLqryRIwbzzRfvkJgQ7+5b8RlUs6T7cVVv5FhmOY//esbu8U9vbEJ4sMAgQavxvl6aLXzBLKkOnqjUiFar5dGH/sfwoQO58db7OW40Sy5ZupolS1dXyR8THcW4c0aycdPWKsIGsHzFv1x1zZ3Mm/M9QUFVF15UUXE3rjSzZRVUb4bMKdITERKI1jd0zWdQzZIqDjNoYB/WrprLxZOrjyyRk5vHrzPncCT1uCnt6Sfu47ZbrkEYxw/Wrt/MtBfedml9fZWG1GtrCLSIN8eEDNDAjcNjaGJccLRFfIBpW8W5qJ+qSq2IjYnm+6/f59GH9rFx01ZOpJ+isKiYosJi8vIL+HftRtIqTRsYO2YYjzx4JxqNhubNm/LUs68B8P2PM3n5hcc8cRsqKm4jLkJLk+gATubq0BmgWWwAb1yZRF6xgbBgjc+YIn0NVdxU6kTXLh3o2qVDlXQpJdt37mbhwhXk5ReQnNyI66Zcalpf7r67b+Hl196jqKiYrOwcsrJzrCKlqKj4IzHhGk7mKts6g0QIQXSY6iziSlRxU3EqQgh6du9Cz+5d7B5vldKC/3bvA2Dnrj2MGDbInVVU8SK8xZmkLkgp+XldHusPFZMYqaVVYhCtEgNpFhdIckwAAcZBNIOUHMssN50X58Q12TyBNwaatoUqbipup2uXDiZx27BhqypuKl6NlJLfN+WTmlFO/9ahDOsQBsC/B4r5e1sBoITL2pNeZjonPkLLC5ckEh2m5VhGOYWlild6TJhGHWNzE+qnrOJWpJQsWrzStH/6rBq70hLVmcT91OQpueFwCb9vygdgS2oJseEaujYLYWea/WWiMgv0/HugmHN7RLA73ZyvU3KwyalKxbWo3pIqbqG8vJxvv/+VPgMnkJWdY0q/7OKJnquUiooDbLdYFRtg3nalt2a5LE18hJYLe0da5UvLUkyRu0+Ye3Sdmwaj4h7UnpuKyykrK2PyZTezYuVaq/TbbrmGAf17e6hWKiqOUSFSFWw/VkpaVjmdk4NNZsmIEA2XD4iieVwAHyzOBmDFviJaJwWx+4S559Y52bfFzVfG20AVNxU38MNPv1sJm0aj4eLJ5/HMUw94sFYqKjVjkJK0LF2V9FfmZpAUZW4+S8qUNdd6pYSQGKnlbL4eKeGrlTmmPImRWhpF+7YziS+hmiVVXM6/6zaZtidNPIf9u1bx7ZfTiYmO8mCtVFRqJiNfT6nOHKKwYrQsp8jA/lNVzY0hgRqenpxAUxvL1IzpEq6Ot7kRVdxUXE5SYoJpu13bVjRp0sil1/NVpwxfrbcvoTcYyMkvpVzn2OrWm4+Yx9u6NA1m6qgYQgKtBap5XABXDow27cdHBPDM5ESGdQgjPFgQGiQY1y2ciT0inHMTKg6hmiVVXE7jxuaVvjOzsl16rQqBKExfpa5o7QM07XOuy+e6GQyS13/Yyj/rj5NbUIqUEBSooX3zGDqlxBJjKKRlQiDRoVpCgwS5xQYy8/XsPVnK3K35pnIGtAlleMdwerQIYevRErIL9TSLC6RnyxACKwWGjAjRcPvoWKSMAfCLHpsvjbeBKm4qbmDV6vWm7c6d2rvlmr4obOHJwxpk783VArds8wl+WXzQKq2s3MCuw1nsOlw1sLctEiK1DGkfCkB0mJaRncIdOs8fRM1XqdEsKYS4VAgxSwhxVAhRLITYJ4R4RQgRWc05nwohpBDiBxvHRgoh9goh8oz5giyOpRjPk0KI0TbOXS2EWF6L+1PxAg4dPmrazs8v8GBNVLyVpn2qD8ZdH35YsN9qPzykds/0iZFa7h8fR0hgwx3F8bVeGzjWc3sIOAY8AaQBvYBpwCghxGAppZXxWggxGJgC5FUuSAgRDvwKvAZsA14B7gXesHHdlwA1dIUf0KtnV/btPwTAi6+8S3ZOLi88+zDBwb7tFq3iXFzVg9t/PMe0/fdbE0lODCcrr4S9qTnsSc1id2o2R0/mk1tQRl5hKZEhGuLCtTSJCaB782D6tAolKKDh9sB8UdjAMXGbJKU8a7G/QgiRBXwLjASWVhwQQgQCn6EI0202yuoEHJdSvmXM/wIwlarithAYJ4SYJKWc6+C9qHgpLzz7MKtWr+dE+ikAPvz4G1auWs+/K2abAio7i4Zq2lOxjZSSklLzempJcYppMS4qhMHdGzO4e+Mq57hybTdfw1eFDRwwS1YStgo2Gt+bVkp/GNACb9kp7hjQ1miajAeuAfbbyDcT2AK8KFSjtc+TnNyYWb98YZW2c9ceDhw84qEaqXgrzjZPZuSWYJCKK39IkJYAbc0PU77coKuYqetj8wjj+56KBCFEG+Ap4E4pZZmtk6SUZ4x5FgEZQGvgZVtZjfm6A1fUsY4qXkS3rh1p3izZtJ+QEEfrVi08WCPvxBcdYZxNfQXu6Kl8Pv3jP178ehP3vWNeKb5rmziHy1AFzvc/g1p7SwohmgLPA4ullJssDn0C/C6lXFbd+VLK942OJvHA4cpjdhb55gshVgPPCyFmSimrhglQ8RkOHU7leFq6af/TD18nMDCwmjNUGjJ1HX/7YcE+ps/Ygd4gqxzr2zGpVmV1HjSkwZoofV3YoJY9NyFEBDAb0AE3WqRfA/RDcT6pESlltpTyoD1hs+AJoB1wQy3qOFUIsUkIsSkjwzE3XxXXEx0dRVCQWcziYqOrya2iUvse3J8rDvPWT9ttCltIkJYJg1RLgSP4g7BBLcRNCBECzEExJY6XUqYZ0yOAt1E8IEuEEDFCiBhj2YHG/To9okspVwELgGeEEA651kkpP5NS9pVS9k1IcNwMoeJaEuLjuOKyC037i5eqTh8qNeOowJ3KLOL1H7aZ9julxHLb5M4M6d6Ycf2b88mjI2jZ2O7sJbv4S0PvKP50vw6ZJY3iNAvoD4yVUu60OJwAJKKMnVUeP2sOXA5cBPxZxzo+CWwCbq/j+SpewoB+Pfn+x5mA9dw3FWtUj09rHDFRvvHjVopLlZGLVslRfPnkKEKDnROjoiGYJ/1J1CpwZBK3BvgRGANcKKVcVynLKWCUjddpYLFxezV1REq5BUVYnwAcCwug4nVIKdmwaZtp35XjbapTRsNi1faTLN10wrT/9I19nCZsFfhj41+BO+/NlZP1K+PIL+BD4DKUuWuFQoiBFsfSjObJ5ZVPEkKUAKellFWO1YGngV1AErDCCeWpuBGDwcBjT73Mdz/MNKUNHtTXgzVS8TXs9d6klLz90zbT/oXDUujVIbFKPmdgKQL+0JPzZ8EGx8bcKqT2SWBtpdctLqqXFVLKvcD37riWinPQ6XTo9Xqyc3K58Zb7+fDjb0zHzhkznKuvmOyxuqn4Jrae+lNP5pN6UgluHBYSwL1X9nBLXToPGmJ6+SK+Wu/aUGPPTUqZUpeC63KelDIV85JJlY/diIWHpor3IaXkux9n8tIr73Ii/RRCCKS09lybfMF4vvz0bQIC1JjdKrWncg+upMwcfSQoUEtEqPunl1QIha/05hqCsIG6npuKE/nux5nceffjpjBblYVt6s1T+O6r9wgJUWNKqjiH1slRxEQqv6ec/FIWbTjusbr4Qk/O2+vnTFRxU3Ea33z3S5U0IQQdO7Ths4/f4O03pqHVaj1QMxV/JThIy+Vj2pj2V2xNrya3e2hIAuLNqLYhFaehEeZnpe++epcLzh+HXm9we0+two3eV70m1WkAtSM+KsS07S2RaL1x+oCnRdednpKg9txUnERxcQknT50x7QcHBxEYGOhRE2Rh+ipVKBoASzalmbY7t/KewA2eFpOGjipuKk7h+Zff4egxpZGJioxg2JCBNZzhPnxJ4Hyprt7AqcwiNu5RHqqEgAkDmnu4RtZ4i8B5Sz3ciSpuKvWmoKCQTz83z9R46fnHiI6ufagjV+ILouELdfQ2fl9+mAq/pQFdGpEUF+bZCtmgIQqLN6COuanUm7MZmZSWmlc5uvzSSR6rS3UCUZi+ymfH4VTMbNl3lvlrj3HweC7bDmSY0icNTfFcpWrAG8fg/B1V3FTqTcsWzWjeLNm0pM3qNRuYMH6Uh2tlG28SOLWnVnuWrdnFzS9VXVWrXfNozunvXSbJyuj0ku3HSsgvMdCteQjxEdV7DucX69lytIRNh0vIKNBzSb9I+rYKNR2XUuLIWs7e0HN0tzMJqOKm4gQ0Gg1JSQnm9dq8xWXNDp4UOFXQ6sfbn8ypkta/cxLP3tKPwADvHmWZdziMXxYr/5HIEA3PTE4gOdb2pPNV+4r4ckU25eY56nywKIsXL00iOlTDjPV5rDtYTOvEQC4bEEX7xurc0cqo4qZSb4qKitmx07QoO/36uicEUn1wp8CpguY89h8yz2Pr0zGRJ67vQ+umUR6skWPkF5Uxa9kh836JgXf/yeLFy5II1Fo/DG46UsynS7OpvCpduR4+XpJNRIiGXWmlAOxOL+OFPzN46bIkWsRXFUpv6LV5Cu9+1FHxCTZv3UF5eTkAHdq3IT4u1iP1qK2IuFJ0KqYhqMLmXNq0amza3rz3LE98vI6SMp0Ha+QYaWcK0emt5SotW8fny7MxWETySc8u5+MlZmGLj9Bycd9IAo0WzNSMcpOwVWCQsP+kdZqKKm4qTmDdus2m7UED+3iwJrXHWeJjKWaqoLmOO64bb7W/71gOC9en2cntPRSV2BbgNfuL+XplDlJKissMTP8ni5JyRdqSorS8dGkil/SLomeLEJvnV1BxjjfiifE2UM2SKk5g7fotpu2BA3xL3KD2JkpVvDxHfFzVKSYnzhZ4oCa1IyTI7DySkhBI66RAlu4uAmDp7iKOZZaTV2zgTJ4yyBaohXvHxxEZqpzXtVkwG4+U2C2/TaOgKmkN2SQJas9NxQnsP2AeS3j4sedJS/N8fL/aYk+wKvfIVGHzLLP+sl4rOUArOH9IimcqUwvCQ839iCJ9ADcOj2Foe7Pn48HT5SZhA7hpeAwpCWbBGtg2jKhQ2811SKCgnQ1xa+io4qZSb9q0STFt5+cX8sbbn7i9Ds4QHVXIaiY7p4AFS7fy8x+r2LnnqNuvn3Yy02r/9bsG07xRhNvrUVuaJUWYem9nsovJLtQzdVQsg9uFWuUL1MLUUTEM7xhulR4RouG+8XFEBAuiQjVcPzTadCw6TEOA1rs9lD2BapZUqTfT33yOrr1Gm/a/+/E3unRuz3kTRtOsWbIHa6biLLbsOMxH3yxgwdKtlJWbx4+uvXQEbz13g9vq0Sw53rR94fBWjOrT1G3Xrg8BWg3d2sSbQoUVR7Um3nCMO8fEMqJjGPtOlhEfoaVHixBiw23Pf+vQJJiPbmiClFBcbuDb1bkA5BYZMBgkGo1Z4Bq6SRLUnpuKE2iV0oJ77rrZtF9WVs79D0+jZ/9xLFvxr1vq4Ay3/vDkYaZXQ0VKye0Pf0LHIXfz6Avfk19QzImTmUy85iXm/LPRStgAvp+5glNnst1Wv8kT+pu256w6wp5U9127vvRoZxbmisgqQgi6Ngvhkn5RjOwUblfYKtBqBAFaQUSwhmijmbKkXLLvlDlCkCpsCqq4qTiFO269jsTEeKu04uISrrzmDp8Yg6ssaA1V5E6ezub3eevJying6xlLaTPgTvqOfwS93lDtebMXbGDmX2s5lHrKpfUbNrAz40Yo8yilhNe/31plUVxvpUe7BNP29gMZ9RIhIQT9WptNmusPFderbq7CU56SoIqbipNo0aIpa5b9yUP3386lF59PTLQysbagoJDHnnrZLXWoixjVJGINTeQaJ8VUSbMnbM8+dDl7Vr/H+Ctf4NYHP+bORz9j8PlP8OOslS6t43OPXEmAVmm6th3IYM0O1wqqs+je1vzwt+9oDsWl9ZufN6CNWdw2HCrGYJBqr80CVdxUnEbTpk147pmH+PbL6fz606em9D9mL+C3WX95sGZVqa1oNRSR02g0zPnu8RrzTT63P/+78VyOn8jg5GmzaVBKyUvvzqqxp1cf2qQ05sarzGO8f6w47LJrOZOo8CBTNBW9QfLfkax6iVHHJkEm02RusYGSuPZOqae/oIqbiksYMrgfV195kWn/5tse5KVX36W01LORFOorUg1B5Ab2ac+WRW9yy5SxBATYHgMqL9ezdPVOXn3/jyrHMjLzOJOR69I6XnvZSNP2pj1n0RtcJ6bOpFOKOXrP0ZP59SpLoxH0t+i9LVx/vF7l+RuquKm4jFdefJz27VoDoNfrefm19+nVfzyLl67i8adfoXXHQdx5z+Pk5ztvEq494XG2KPm7yDVLjuflJ6aQvv0L0rZ+zvyfn7I6/vfizVx529ssXb3T5vmWnnuuoEObZBKilagdeYVlLNvs/eO6lQk0PjjUp/dmaZpcsikNnQt7zL6GKm4qLiMhPo55c36gf7+eprSjx9K48JIbee+DLzl9+izffv8b9zzwjEvr4UoR8naR0+n0NWeqgaCgABLiahecODTEtZOKhRBcONEsCo9/tJb3ft2BweC9ziU6vYH9x3JM+6HB1XtGOkKHxkHEhCnNeFZeKbuP+I73qKtRxU3FpTRpnMTi+b/w9uvP2s2ze89+p16zQmzcKTzeKHJLV++k/eC7GDTxcRYs3VqvsoICHZ8Se+XkoURFun5F7Aduv4B4Y+9Np5d8/ddeflt60OXXrSs/LtjPgeOKuTYoUEPP9mbvybr23jQaQd8u5rmkJ854fygyd6FO4lZxOVqtlttuvZYmTRpx1bV3VjnerGkTp1/TU0JTcV1viG7yzYylFBSWUFB4iuvufo9hAztzxYVDOHd0LyIjQmsuwILAQNu9jKH9OyIlSCRxMZHccOUohg3o5Izq10hifBRfPTWKJz9ez67DWQDMXpnKFWPbueX6jiKl5M+VR3j/N7MJ97bJXUiMqd13YIvOg4bQ+Mg20356ZlG9y/QXVHFTcRuTJp7Ds08+wOKlq1izdqNF+lgP1so1hCcP87jAhYZYL2C5at1uVq3bjUYjaN2yEZ3bN6dTu2Z07tCMzu2b0zw5Ho3GtjFn8codVdKmv3AjV1883CV1d5RB513OhxHBjLjjTwAOHM+lXKc3jWd5kqy8Ev5ancrvy49w9JTZeaRTSizXntuhSv7Og4awe+2aWl+nSYK5l3z4hGsdeXwJVdxU3IYQgkceupN+/Xpy/uTrAIiKjOCySyZ5uGauwdO9uCfvv5R5SzZTWmm9M4NBcvDIKQ4eOcWcf8wPGRHhIXRq14xO7RWx69y+GZ3bNyMgQMsLb/9WpfyuHVu4/B4cISo8iOZJERw/U4BOb2DLvgwGdGnksfqU6/S8+8sOfl1yiHKdtYNHq+Qo3n1gqFNWDa8wZfZoazZvLlh7nAFdGnHBsFb1Lt/XUcVNxe18+fVPpu2rr7yI8HDXj894Ek+JXIumCWxd8hZvfDibr2csrTF/QWEJG7cdZOM2x8at7E0T8ARDejRmxiKl3ss2n/CYuJXrDNzz9mrW7TptlR4RGsglo1pz20VdCA223+w62nuzHKPr3CqWXu0T2Lo/A4OUvPj1Zvp1SqJJQng1Jfg/qkOJils5eeoMc/9ebNq/+carPFgb9+KJccCEuChee/pa1sx9mfEje9rNF2RnTK06ArTeI25j+jYzbf+z/jgFxeUeqcf0GduthK1zq1im3dKPhe9N4r4re1QrbHVFCMGb9wymWZIiZuU6pffa0FHFTcWtfPv9r+h0iplsyKB+dO7UsKIqeMqrsl3rJnz/4b38/tUjdO/cssrxsvLaTxnIyMpzRtXqTdM+59KzfQKN4xQLQE5+KRc/toDZK4+4tR4L1x/np4UHTPs3TerID9PGcuHwVrUStZo8J20dj4sKoUNL8wTxBeuOUe6EaSC+jCpuKm6jvLycr7/9xbR/y01Xe7A2DZOhAzqx8Jdn+OCVW0luHFvzCUY0GsGA3u24bNIgU9qKf/9zRRXrRIBWw20XdTbtn80u5vkvN3HKTd6DeYVlvPa9eUX60X2bctel3RDCfeus9bRYdWD19pN8N9+5U2x8DVXcVNzGm+98QtqJkwAkJMRx4aRxHq6RZ/C0F6VGo+HyCwbz71+vcOeNExw6x2CQrN9ygJ17jpnS3vnsL7qPup/zprxIVo7n5led2DwfUNZ3C7YwrxqkrHdwYkd579cdZOUpoeWSYkN57tb+bhU2gCvGtrMaa9xkXDuuoaKKm4pb2LbjP15940PT/gP3TiU4OLiaM/wTTwubJWGhwUx76AouOneAw+fsPXjCKrTWqTM5bNp2iItvfN0VVayRCmEDZezJsm7DezahVXLtIqvUhX3Hcpi1zBy8+dFrexERGljn8uoyHQAgMEDDeYPNHqzREa6NEuPtqOKm4haenva6aaxt0IA+3HXHjR6ukUoFzz96JS2aJTqc32CQaLXWTUdUZP0nJDuDZIs5Xx1THDe71odZSw+Ztof1aOLR1cH1FuHHSsvUMTcVFZdy8uRpli4zP41+9P4raL3I085deFOvzZJGiTEs//153nvxZm68cjSx0TW7kD957yVW+21S3O96b9lrq+D6iR1N29sPZLq8DiVlOuavM5tqr5vYwe3mSEt6WiyIunr7KXLyPbsKh63vyF2o4qbicnLzzNEZEhLiTCsFqHgPEeEhXHnRUF57+lq2LX2bt5+7gdFDu5LSPImQ4KomtrJyPW8/d4Np/+9FWyguKXNbfe01ml1axZm2j502/+4On8jjtleXc+HD87j5pWVV5qHVlTXbT1FQpEw7aJ4UQZ8OjveAXUFKk0iTSVSnN5CeUejR+ngSVdxUXE6Txo0ICFBcoTMysnj86Vc4dDjVdFyv17N6zQZ+nPEH/67d5PE131yBt/babBEaEsQ1l45gxqcPsmHBaxzd/Cn7//2AW68xh0l78+PZJCVEm/Zz8gpdvoabIzRLCkdj7DmdyiyitExPcamOe99ZxYbdZzh2uoAt+85y5xsr+NnCbb+uZFv0jLq3i/dorw1g454zpjl+IUFaUppEerQ+nkSNUKLicqKjI7l2yiWmaQDvffAl733wJR3at2HsmGGsXbeZLVvNQWWjIiOYMH40F04axzljhvt8BBNfEjZbCCGIiQ7nuYevZOnqXRxKPYVOp+eLHxdb5WucFOOW+lRn6goK1NI4Poz0jEKkhLSzBew7mkPaGesejJTw+g9bOZ1VxL1XdK+zKDVNNJtwPd1LklLy4cxdpv2JQ1oSFlJ3xxZfRxU3FbfwwrRH2LlrL5s2bzel7dt/iH37D1XJm5dfwK8z5/DrzDmEhAQz8dwxNG3ahOioSK6+4iJatPDcgH1Dpqxcx6HUU6b95Rbz3Pr0aENwkOsbUkfGcFo0jjAJzbFTBew4aB5769MxkaISHXtSlXXPvp23jxaNIrh4VJs61adlY3PP6L/DWWTmlpiW4XE3Ow5mmu41MEDDzZPcszpDTZzYPJ+mfc51+3VVs6SKW4iNiWbh3z/x0Xsvc96E0YSGWjcAWq2WcWNHkNKyuVV6SUkps/6Yx3sffMkLL09n5LhLKSjwnXEEX++1WZKbZ39C9P1Tz3f59R11TmjRKMK0ffx0PvlF5rHAySNa8c591hE+Xvh6c53r1CQhjM6tFK/MsnIDMxbV39RZVzbvPWvaPndQCzW2pKcroNJwCA4O5vprL+e3nz/j+KFNzJrxOffedQv33zOVVcv+4I/fvmTX1qWsXTmXxx+5y2ZortOnz3Ik9bgHaq9iz+zYvXNLzhnRw6XXro3XXYtG5t7UsdMFCMwmRymhUVwY155r/dv69u+9daqXEIIbLDw0l20+UadynIFlPM0WjRvuWFsFqripeITQ0BAmjB/Fyy88xovPPUKPbkroJCEE3bt14qnH72Pjv/P48N2XrM6Li42hXVvfWM7Dn3ptoHw3ndo3q5Les2srlzpS1NadvEVjc8/t2KkCtFpz3Soiltx3RQ+6tTGHq5qxuO4reA/t0cTkxHI4Pc9jQZstl9cJ1HrWscUbUMVNxWtZtGQlDzzynFXa229MIyTE+yOb+JuwVZAQW7VHEB7mXd+Hdc8t32pcrGKsTaMRfPiwOYD1qcyiOsehDA0OoF1zxXNUSmXszRNYBmfO9vD8tsp4Yr6bKm4qXsmChcu5/OrbKC1VxkuioyL59cdPuOwS14/tqNgnxsYE77BQ14lbXRrF5MRwtMYwXKezimnd1ByCy3Jid2RYEP07J5n2//73aJ3r2a2tuRdo6cDiTioEFmD/cc9Py/A0qripeB3z5i/hqmvvoKzMODm2WTKrlv3BxPPG1nCmd+BvvTa93sCL7/zGBde9wtyFm6ocb9eqiUuuW9en/cAADe1bxJj2s/NLTWJ3JD2PvEKzg8mkYSmm7aWb0up0PYDuFuK2dFMaUspqcrsGS3E7oIqbKm4q3sX6DVu4+vq7TMKW0rI5//z9E21ap3i2YrXAU2u2uQK93sBdT3zOe1/MY91m20uodO3YwmZ6faivGcsyvuOSjWlWYrfzkLlnNaJnMgHG8andR7LrbJoc3rOJaUWCvUdzPNJ7a94owlSHs9nFXmeadDequKl4DVJKHnniJcrLFWFr3aoFC+b+SMsWVZ0YfAFfEzm93sC3vy7jiqlvMfmGV7nk5tfpM+4hZv21zu45oSFBtElp7NR6OGN8ZnRfs7it2XHKNNYGcNCiVxMZHkTfTmbT5PItdfN2jAgLtIoGsmJrep3KgeoXK63umFajoU0zswn2YAPvvdUobkKIS4UQs4QQR4UQxUKIfUKIV4QQkRZ5+gghFgghTgghSoQQp4QQ84QQg2yUN1IIsVcIkSeE+FQIEWRxLEUIIY2v0TbOXS2EWF6P+1XxYjZt3m6a5B0cHMSc37+hefNkD9eq/viKyH32/SIefu47lq3Zxb8b97Fq3R7ST2VXe05y47gqKwTUB2c5HrRpGs3kEba9aiPCrCebW/by6uLK/9/hLCY+8Df7juWY0sJC6hcfw5aI1bRCN0C75jGm7QPHc+zmawg48qt8CNADTwATgI+BO4BFQoiK82OAg8CDwHjgbmPaCiFE/4qChBDhwK/A58BFQC/gXjvXfclOuoqfcuy4uWE5Z8xwWqU439zlSbxd5GbMXl1jntjocGZ+8bBpP/X4GU6erl4AHeHE5vlO96h77NredGkdVyW9Sby1U8yIXuYHqA27z9TanPfx77s4nVVs2k+MDeWiEZ4JDt5edSox4Yi4TZJSXi6l/FFKuUJKOR24BxgAjASQUi6RUt4lpZxhzPMbishJ4FqLsjoBx6WUb0kplwAvAMNtXHMhMFAIManOd6bicxQUmsc7YmKiq8np23iryAUF2l6GSKvR0LGt0rvJzi1kyp3v0NZoitTrDbz96dx6XddVbuLBQVo+fmQ4N57fkY4tYxACOqXE0reTdeT+RnFhJMWa16O79eVlDjuE7DuazZod5pBkIUFaPn98pFNCcFn21BzptYHac7Okxr6zlPKsjeSNxvfqgvwVAqWA5YzGY0BbIcRIYCdwDWBrlHomkAC8KIT4S3rC9UjF7WRnW4yFRPh/6KAKgfMW78q+Pdqy/b+q7vDaAA17D5p71aVlOg5axJj89pdl9O3RhisudKwBtsTV858iw4K45/Lu3HN5d3R6A1qNsDnhfPKIVnz2524ADp3II6egjNjI6qc47D6Sxb3vmHu7nVvF8t2zY9BqnGemdVTUKrAcczt2qsBp9fBF6votjDC+77FMFEJohBCBQogWwAfG5C8qjkspzwBPAYuADKA18LKN8qUxX3fgijrWUcXHWLLM3Mi3bZPiuYq4GW/pydkKoaXRCMrKdDWe+/Bz37L9v9RaXc/dE3sDtBq7kVRuv6iL1f6Z7GKrfSklOr0Bg0FyKC2XXxYf4NZXlpORUwIoE6hfvn2gU4WtLlj2vht6n6DWo55CiKbA88BiKWXlSS+/AhVL9J4BzpNS7rbMIKV8XwjxAxAPHJZSGrCBlHK+EGI18LwQYqaUsuZ/mFK/qcBUUOZHqfgGBoOBVas3mPYnTTzHg7VpmIwc3IVGidGcPqv0oMNCgykqVsafWjRL5Mu376RtqyZcd9e7rFpv9VxLSWk5N977AQt/fYaEuKgqZVfGkys020IIQb9OSWzccwaA215ZzuDujbl4VGtS0/OZPmM7peV6IkIDySmwXpQ1MiyQt+8bQksvWDvNYDALmkbTsENw1eoxQwgRAcwGdMCNNrI8AvRHEbhdwF9CiL6VM0kps6WUB+0JmwVPAO2AGxyto5TyMyllXyll34SEqoPJKt5JWVm5aQoAQGRkRDW5VVyBRqNh2kNmQ0mFsAFce+lw9h1K56rb3+Z4uu05XGknM7ntoU/Q6fTVXsfbhK2CGyZ2pKJjl1tYxvy1x7j15eW89M1mCkt06PSyirAlxYby9dOj6dsxyUaJ7kdvIW5aVdwcQwgRAsxBMSWOl1JWmc4vpTwspdwopfwdOBel9/ZiXSsnpVwFLACeEUJ4VwA7FacSEhJsNZ/thlvuR6+vvpH0N7zBNHnxxIEMH9S5SvpL02dx1+Ofs27zflKPn7F7/qr1e3hx+ky7x71V2AAGd2/MK3cMJKaGsbao8CBG9Ermviu6M/OV8bRp6j3OT5amSJ1BNmjTpEPiJoQIBGah9MrOk1LurOEUpJRlwA6gbb1qCE8CzYDb61mOipfzzJP3m7b/WbSc9z/62oO1aZgIIXj7uRuJi6ldz7lPd7Pr+0dfL2DnnmNV8nizsFUwfmALFr47iY8fsXbi1moE7z0wlF9fGsfi9y9g+v1DuX5iRyLDguyU5BmiI4KICFXm8RUUlXt8dXBP4sgkbg3wIzAGuFBKaT9cgfV5YUBfoOpSy7VASrkFRVifAPzfha4Bc+XlF3L/PVNN+6++8T65ufkerFHDpEXTBB656yKrtC4dmjN2eHduumq0TeHbfSDNqsc3d+FGq+PeLGyns4r4aeF+1u5UPEADAzQM7NqYmyYp67Q1T4rgnfuGMKxnMu2axxAY4L2BnbQaDd3amIdjfvrHc4unehpHvqUPgcuAN4FCIcRAi1czAGOkkVeEEJcIIUYIIa4DlgNNqIdZ0oKnURxQejqhLBUv5tmn7qdD+zYA5OcX8vV3v3i4Rg2PsjKd1RpoAP/tO84VFwzhrpvO4/sP7iE+1lrgSkrKGTvc7G25e595QVlvFjaDQXLH6yt544dt3PnGSjbtNZtc776sOys/mczsN85lWE/fcU6bMKilafunhQe46cWlLFh3rMGZKB3xljzX+P6k8WXJc8A0YD1wC4qXYjhwwph2syMmzJqQUu4VQnxPLRxLVHyTwMBA7r3rZu685wkA3v/oK266/gqiojzvidYQOJ6eweQbXuP4iYwqx2596GPTdu9urbjqomHk5heRk1vIOSN60KNLiun40jW7OHjkJKFZ29xQ67pz/HQBR9LzTPtH0vOsnEO8zezoCJOGtmTJpjRWGuNbbt2fwdb9GaSm53H7xV09XDv3UWPPTUqZIqUUdl7TjHm+klIOllLGSylDpJRtpJRX11bYpJSpxnK/sHHsRuOxkbUpU8X3uOKyC0lKSgDg1KkztO44iDvufozTZ6o2uP6GJ51KSkrLueLWt2wKW2W27DzCL7PXMHFMH758539cOXkondo1Y0g/xZSn0+l5afosV1e53qzZcdJq33LBT19FCMELU/szbkBzK4/JT//czcG0hhOSy3uNxyoNlpCQYJ575iHTfnFxCd/9MJMJ519NaWnDXsbDlcxduNEq8ogtmjSKNW2fzczj9Q//5IsfF6PXK7N6nn/0StPxeUs2cyarbkvIuIvv5u+z2u/XyTtc+utLVHgQr/1vEPOnn0/zJLMJefsBzzwgNu1zbs2ZnIwqbipeyXVTLmX6m8/RpEkjU9r+A4dZtGSlB2vlejwZimvpamtDS9tWjWmT0piU5klcfsFgDm/4mO1L3+bXzx8yrb69Zedhnnj5R559fQYA3Tq1ZFDfDgBICds9tCp1TZSW6fljxWGrgMedUmJpFBfmwVo5n8SYUMYPbG7at7xff8f3++AqfsutN0/hlpuuZsL5V7P6X8X7LjOz/hHoVaqSX1DMohXbrdKW/f48wUHm5WH2HjzB3U98YTPM1mc/LGLIgI6cO7o3HRsL1hrTN+05wzn9m1fJ70my8kq45eXlVmNtAFeNa+ehGrmWxvFmwT7t5T1pZ6L23FS8GiGsA90mJSZ4sDb+h15v4MFp39Bp6D3k5dt+qi8v1/HzH6uYOOWlauNHfvjVAk5snk//zube9t9rjpJfVGb3HE/w9KcbqggbQM92/vnbSoqzFDe156ai4hVk5+SyacsO0363rh09WBvX4m6TpF5v4OnXfub731bYPH7qTA4R4SFcddvbbHMgKHKreMXVvH/nJFo1ieTIyXwKS3Ss2naS8wa3rOFs1/H7skP8s/44gQEaEmJC+Xdn1XHFTimxNEuynka7e+0ap9WhttH9nUnjOPNyPifONpyVAlRxU/FaDAYDd937BMXFSuT1Du3b0LRpEw/Xyj8oKi7l8lvfYsNW+5N8n3/rV8rLdQ4J20UjW/Hotb0AJWDvqL5NOTJ3L6As5jm8V7IpcoY7OZVZxAtfb64x357UbJYtWEnjGNc0ibvXrvGYwLVsHElggIZynYG0M4WcyiyyMlX6K6pZUsVr+fLrn/lzzj+m/acev9fukiW+jrt7bSvW/letsAHMXbiJBcu2mfYto8xHRoRa5d2bmmP13Vwyqg3hIYpQpJ0p5IPfdrptErHeYGDu6lSufGohd73puAPSVytzXFpHZ/YEa0NQoJYurcxRS579fIPXmYpdgdpzU/Favvn+V9P2jddfwcWTz/NgbfyLfj3bktw4lvRTjjvoVCyn0qpFEktnPY9er6fjkLvR6Q3sSc226hEkJ4Rz35U9eOkbpdf0y+KDZOWV8Oqdg5y2FMufKw7z3ZztlOslARpBXLiWXikhBGoFnyyt+b66NA0mo0DH6VwlQPd/J0qZu7WAC3q7LmCAp3pw157bnm3GaQAbdp/h2mlL+OiR4SQn+G9EQ7XnpuK1lJWZl8CZfMEED9bEtXjC/T8hLorFv03jxitHkxhf8/prlkwa15fwsGDy96+gb6dEU/qiDcet8k0c0pIUizXOFm1IY8mmKouJ1Jrda9ewa81qXv12M0fOlpOWpSM1o5wtR0v4ckUOMzdWdRYB0Grg2iHRPH9JItcMjubucbG8dkUjkmPNz/i/rM/jtb8y2Hi4GIOLenGe6MGN7tuM2y82L8h69FQ+j324Fr2hplXH6o8n5riBKm4qXkyf3t1N27P++NuDNXEdnpzXlhAXxWtPX8vO5e8w45MHuOLCITzyv8k88+DlVfIGBJhXeB4xqIspXuQ5/czLFM1YdBCd3txYhgYH8PnjI+ndwSyAj3ywlu/m72PnIfvz33R6A4fScikqKbebJzWjnFKdbfHJyLe9VNJ71zZmQvcI2iQFcW6PCCJDtARqBS9flkSHxuYwWzuOlzL9nyw+XJztMjOlJwTutsldeOXOgQQY44buPJTFxt1n3V4Pd6GKm4rXctP15oUzZ/0xj7Iy/xon8KSwWaLRaBg9rBvvv3wLD915IRefN8B8TAiaNIo1LUAaGhJEMw6bjp87uCUxEYowpGcUMu/fo1ZlJ8SE8uQNfazS3vl5O9c9t4SfF1Yd8/vvcBbnPfA3lz7xDyPumE3aGWvvvgpRmLHOdu/MHmO7hBMTprV5LFArePT8eIa0sx5HXHewmL+3uc670BMCN2FgCy4Y1sq0v/2g/4a0U8VNxWvp17cnKS2VCcCFhUXs3LXXwzVyHt4ibLZolBhDUKBiqjNIydRrzzEd69U+jqBAs0iEBgdYTX7+eNZ/lJZZ95xaN42iR7v4Ktf5bWnV1bDmrDrC2WxlLpZOb+Dlb2x7OoYGOTZuFxwgGNslnKsGVW96DQ7UcOfYON66qhGDLUTul/V57El3Xcg3Twhc22bmxVUzckrcfn13oYqbitcihKB3L3MU8z/nLPBgbZyHNwsbgFarsVqbzTIsV5umVUXimgntiTWuXn0qq4hv51V9CHnz7sFceU5bzh3UwpR2JD2PDbtPW+UbN6CF1f7aXafJylMaYEshuHZINH1bhdi9hzGdw3n9yiQ+u6kJNw6PISTQsaaucUwAt42KpV0jpTdqkPD+wiyyC123Kry7BS4+2vy5ZeWq4qai4hEmnjvWtP3hJ99w5qx3xip0FG8XtgqunDzUtH3gsDlyflR41SVgwkICueMSs7PCF3P2sGnPGas8CTGhPHptb16+YyAje5vXRnv60w2UlZuFo0/HRB66uqfVuZ/9ubvKNRMiA7h/Qjw/3J7M9CmNuG1UDDFh5ubsWGY5TWMDTeNLtSFAK7h7XBxRIUp5ucUG3l+UhU7vH9ME4qKDTduZeaq4qah4hMsvnUSP7kovorS0jF9+m+3hGjUMunY096CKisxmue0HbD9cXDyyNZ1SlBUDynUGHn7/XzLt9Aoevba3SSTPZBdz91urOJlRaDp+2Zg2Vvl/WXyQn39ZYrMsIQSJUQEM7xjOyE4Wbu31nG0QH6Hlf+fEUjF1b9/JMn5dX7txvtriLoFLsOi52fuO/AFV3FS8Go1Gw9Sbp5j25/+zzIO1qTuF6at8otem1xtYumonDz77jSktr8Acj3D19pM8/tE6svOtx6G0Gg1v3jOYhBil4cwpKOP1H7bavEbj+DBuuaCTaX/D7jNc9/wSU0MbFKitEudxyX+FVIeUkjX7zUGBR3RwLALH2XydXY/Irs1CuKyf2Qz79/YCNh52bWxGdwhcmMWadSWlrjO3ehp1EreK1zN0iNl7b+++gx6sSe3xBUGroLxcx0U3vl5j5JIF646xYfdpHruut1XE/+SEcF6YOoA7XldiVS7ZmEZZud7KAaWCKePbk5lbwrfzlPXUMnJKOP/Bv+nQMobTWcWcyrSOXr8nvRSDQdqdAH48S8dZ4xSA0CDBsBrETUrJr+vzmLutgDvHxLIltYQrBkSRGGXdJE7qHcGB02VsPaoI7ydLs2kWF0CTGNeFEnP1RO8SCzNwcJBtD1J/QO25qXg9K1auNW0b3DDp1Bn4Sk/NkvlLt1YrbJaykpVXyiMfrOXJT9ZRXKozpQ/s2oimiYp5UG+QHD9t25VeoxHcd2UPnr7RPE2gpEzP9gOZVYQNoKhMsumIbRPaqRwd0/8xm0u7Nw+pcaxtx/FS5mwtQEr4cHE2aw8W8/aCTErKrX9fGiG4Y0wsiZGKCJSUS6b/k1Uln7NxZQ/O0ptVFTcVFQ8x8/e/ueeBp037IcHB1eT2PL4oahXM+WdjlbQ+HRPRGAeeJBAYoLHytpv37zHue2e1lWnPMirJYRtLy1hy8ag23HVpVwK01k2RViPo1jyY5nHmntQXK7JZvqeQ4jIDqRllrNhbyKdLs3n8tzOmEFpCwDldaw4pZWv+2rFMHZ8sza4SmSQ8WMO94+Oo6ICmZen42sVxKMF1AleuMwuzm8J9egTVLKni1SxbYf0HP56Wzszf/+bSiyd6qEZV8VUxq8y/G61d+Ld8exlCCPYdy+GxD9eSejKfcp2BzimxxEYFM2dVKqCMma3ecYphPZQVG9o0jWbNDmVZmZVb02tcrPTmCzpz6eg2pJ0ppLhMR3xUCPmHdxCgFRSUGHj81zNkFeopLJV8vjyHz5fn2CwnUAt3nRNHp+TqH4BSM8r474QyZigEXNg7kj835wOw8XAJf2zK55J+1lMeWiUGccOwGNO1V+8vpnvzEIa0d210fVeYKJs3ikAIRdiOnsz321UC1J6bilfzwL1TTd6SFTzx9CtuizBfHb7cS6tMYVEpGVn5VmkVT/gdWsTw/NT+pvQ1O05x92XduHC4OdLF78vME7LHDTCL2cINx9m2v+YoGNERwXRpHUffjkkUH91pMitGhGi4Z1wsEcHVmxmDAwTPTE6gb6vQavMBbEk1mzf7tw7lsv5RjO9m7u39vimf9YeqOo6M7BTOiI5mEfhlfR5ldkKAORNn9+Aiw4Lo1ykJUCbp/778cA1n+CaquKl4NW1ap7Bm+WxWLvndlHYi/RSpR49Xc5brqBA0d4mawWDgxXd+476nv2LbriMuu86yP3+x2m/bLNrKEaRbm3hTjEiDlMxfe4xrJrQ3Hf/viDkKf+dWsXRupUwLKCs3cOOLS1m2+YRD9bDVkLdrHMw7UxpzWf9IQgIUkassdaU6yYlsxzz/ggPMZ4cZI51MGRxN12bmHt+nS7NJzaga7u2aIdGm+W+ZBXoW7nTP4p+7165xqshdPLK1aXvdrqqLt/oDqripeD1CCPr07s45Y4ab0v6eb3vek6vwRC/t2IkMGne7mfe+mMdPv6/i/me+dsl1KoIgW2LZU6tgWE/zQrFv/7ydQ2m5pv2z2cWmSCJCCJ6/tT/x0SGm8boH31vDd/P3Vdvjrq7xDgvWoNUISow9JVulbD/m2JytFvFmT8fdJ0oxSIlWI7j7nDgaRSuCXqqTvD0/i+Iya8eRsCANF/UzjynO3pJPfon73OmdJXBdWpvXdzuZUdWBxx9QxU3FZzj/PHO0kg8++prycvtR452Bu3tplhw4fJLhFz5pldayeaKd3HWnQti6t4unT8dEQoK0vH7XINOEbEuyKkWz+GHBfqv9rfvM5sc2zaL58slRtGmmjF1JqQRMfvHrzaZ14WqDlJKVe6tvhDs3dczZqF3jIFOP7XSenl3HlfG3iBAND54bT0igciyzQG/TQ3N0p3AaG0WwqEwye4t7em8VOEPgmiSEEWzsmWfkllSZt+gPqOKm4jNcfeVFJCQoT5zH09KZPXehS67j6bG0//Yd58LrX6Go2Nos9ta0G5xS/onN802vCrQaDZ8/PpJVn15k1wEkt8C6PntSrRcE/fqvPVb7LRtH8smjI6wmZP++/DDv/7aTytTUYBskpOfo7B5PjNRaBTyujpBAjdXY2axNeabQWk1jA5nQPcJ07HhW1QeoAK3gigHm4MOLdhZwJs9+3VxBfQVOq9HQ2iJO6MHjudXk9k1UcfMhdu7aywWX3MDIcy7h7vue4tRp/12LyRZhYaHcfMNVpv01/25wavmeErUjx86wYOlWiopLOXk6mytve7uKc8fzj1xJfGzdV4i2JWiVEUJUccm3pCI4cgX6Sj2w/45kk19oLYBxUSF8+tgIJg5uaUr75u+9/L+98w6Pqtr68Ltm0gupBAgthN6RjlQRFUTFit1rb/eq137tXbzWa/vsvXdFBbuiICCIFOm9BUICJKS32d8fZzJ9kkkyk5lM9vs8eZI5s8/ZeyeZ8ztr7bXXWrLGnnvSlxu1SWByP88RfUO6RHP7jHSfkyMDHDUggdr94Jtyq/jEocCpo9tytwdxAxiRHWNLrlxtoc7UXJtyK3n463zu/iyPt38vbJTl6ommClyvznaB3riroImjCT30VoAWxP2z/sePP80HYMnSFcz7bSG/z5tNQkL4lop3pU0b+w1+x84cv103WJbaoaJSJp54O+UVVfTM7kBifCy5eQVObbp2bss5p05s8LXrErLGcMzoLraMIp6IijARG+N+S4mKNHPPpSPYsLOAjVYLYY91o7avN2gR4cIJyQzpEsOCjWXUWBSp8WbG9oqjRzv3ZM710S4pglNHtrGJ0uy/iqmqUYzqHsfWPLtAi3iO0hQRzhzThns/N1yxCzeVcezgSrIz3MfyxvwCtuwzRHLj3koGd45mYGfvFQ0aQlO2CvRwFLcwtNy0uLUg2rZ1rom1ect2Ppv9DeeedUqQRtT8vP6mParvsCH962jpG8EO5d+0dS/lFdYbn0P2/VoiI8y89OgVJMT7djP0t6A50jcrhUE90li5yXPyZBHxuinYbDJxyMGq65uV7JOwWSyKb1eVsHxHOdERwoQ+cfzrqBRboEpTOP6wBNbsruDvXcZ609yVJcxd6ZzDsncH78LZu0M0w7vF2NblflpT4iZuldXKJmy1JHkpmtpYGitwPTsn237WbklNULnpuiuJjXW+yS1ctDRIo2l+yssr2LjJCIcXEa668qJGXyvY62q1dGjnHrjhyJ3Xz2TIgG51tgHqdTn6i7suGoGX9I5UVNXw92bPwrfvYBm5B4y9YzFRZsp3/O3WxmJRbmmt/tpeztu/F/L3rgr+3FbOE98c4JYP97Ept+lV2U0iXHlkCr3aexYwETisa90PFdMc1ueW7yh3iwbduNd5nO2SzE5ZV/xFY7YK9HSw3Dbt8p+7NFTQ4taC6NKlIzdce7nTsbwWXt+sIURFRZKYaLhglVIUFDbuaTMURK2WDu1S6NOjo8f3ph4xxKkKtjeaQ9Rqye7YhgHdU72+v3VPkcfjq7ccsP3cNc2M2UUhD5bUcMP7uVz26h6+ddg7tvOAe6DGrgPV3Pd5npP7sLEkxZm588R0rp2aSr/MKLqkRTCkSzRH9I3jhmlpdEqtO0Fyz/ZRtg3mB0ss7D7oPN6PlzivxY3MjvXq6vQHDRG41DYxtlRq5ZU17Mpr3qjPQKPFrYVx7NQjnV4vX7m6xSQTbiomk4nhw4bYXi/+w3NJFW8E0lrbviuP197/iR2768/G4UqPbh3cjnVsn8qT919U742wOYWtlowU76maPFXqBpj32wp7Gw/rUu/8XkhuYQ3VFnh7QaEt+rDYZQ9Z7QZss0mYv77ULxlCRITh3WK5bUZbZs1sx43T07l4UgpD6rHaasfR3WHNL8cqbuVVFr5eXsQGF8ttZLZvEZ3NRY9ODutuO8LLNanFrYUxcEAfpwCSnJxcFi76M4gjal5GjTjM9vPvC90T/brSHHvVvvtlOSOOuYmb73uLMy57rEGpwYpLyln0p3OQhtls4vlHLiclOcHLWQbBEDaou8BlbUUAR9YsXMC2fPu6U3aGszVUWa2c6qRZFPxhTX9VXG5/cLtkUjIPnW6kjaqoVnyzqsSWEzKYdEiyuxlzCqr5dV0JF728h3cXOlttcVFCt7aBK5XTGFxdk+GEFrcWhojQr29Pp2MffvxlkEbT/Iwba8+c8f5HX7Bn7z63NoEQtPKKKo+iVVBYwjn/fNL2uqKiqkFup2denesW9v+fq05i1NCeXs4wCJawKaXY4aWMDbhHF9a6yRwtrKRY54CKrXmVVLs4HzbvMyye4gr7eQkxJjLaRDBjqF30v1hW5Jf1t6bQIdkubh/9cYgXfi7w2O6fU1ID6pJsDI7itmFnQfAGEgC0uLVAevbIdnr91wr3xflwZeL40baN3EVFJdx250NO7wfCQnv8+dn0GHUlI465ie27nPcWPvf6N06vpx813Ofr5uw94HZ+u7bJXPGPqV7P8XfgyNJ1+3j47b/44IeNlJbXn/Fl1eYDbpabt9pp3tZ/XJ8RDpa4p68qslpspRV21YuPNm5Xxx2WaMsQAnhMctyc1Fe4tG2imeumpvrk5mxuwjliUotbC6RnD+foueUrVrNl6/YgjaZ5MZlMWGrsN7zPvjBu9IFyPVZX1/D4819SWVXNjt35/PeZz2zv/bzgb5548Sun9ldffKzP137wyU8oK3e2Os4//QiiojxH0/nbWrNYFFc/Np/3vtvIQ2/+xY3PLKz3nA9/tFdCj4uJICrCRO2Sr4hxDNyFzTF0X7lkhiwqd18zrt2QXe0QwRdhvVvFRZk4+3C7xbFqp285JQNF+2Tv0Y/XT0vl8bPbMcyHagXBoFtmou1vs3NfsVPh2ZaOFrcWSO9e3Z1e19TUcM75V1FYGPz1h+Zg6NCBtp+rqqoDup6Wk3uQyir7B372N0uoqDQsnMeem+3UNiM9ifRUzwEVrmzbuY8PZ//udvycUyd4aB0YN2SNRVFVbbeafl+516lKsysHDpXz3WJ7NYbnbpzAw1eNsRX37No+kdjoCI8Wm6M3ztVyW7/H3a2YaRUMx7aOAtm7gz1byr5DzZe42BOp8SanSgOOPDb3gMfjoUJMVARd2xtuXqVwSobd0tHi1gIZN3YkkZHOrpAVK9dw2pmXkr//AKvXbOCiy67n6mvvoLw8/BKinnvWqbaflVJ8PndxwPra4eKGrKyqpqDQ2Oibf8A5YKBtmm/CBlBa5v53iYuNdrtGIPeviWDLqViLydsmNuCLX7faarwNyE5lUM903pprT57cN0N5dUV6E7ct+ypZuMndrfj3bsMacxyeyeFu5SgmVTXKLRVYcyIiZKZ4t95cN3GHGo6uyY1a3DTBJDUlmSsv+4fb8QULl9C1x0hGjj2W9z/8gldef49XXn8vCCMMLMeMTGDyOLv1ds3tr7Ji9baA9LUzxz20PzoqkgV/rGPL9lyn4/UFgTjSr1dnjhw/0OlYaVkF389baXsd6KAR16f0np2TiIzwfEsoKKrgnW832l7PnNKDpev28ec6Q/zNJjhmgPc0cI6S6ahDi7ysl+UWGtZYlYO6OVpuEWYhOc5ku15+UXCttwl9Wm4l63BNw6XFrYVy1+3XOoXFe+OmW+5n1sNPs3u3e2qn5mBvbh7X3Xg3/7jo3zz9f69SU9P4m1DtuprJZOKFRy6nR7f2AJSVV/KPq5/iYIH/N6G6RjLGxkRRUVnFuf960q3tPy+c1qBrX3jmkW7HbrrvTUpKK/wibNv3FLG7jo2567YXOL3eu7+U8kr3NZf12w9yyaxfbIEkbVNiOXpkZ176fI2tzfhecbRt4916cTQIHW2svV4y/UeaheoaRW6h/f22ifYgkvIqi1OEZWllcPd6Tukfz8DO7iV32iWZyUoPrfB/V5y2A2hx0wSb6OhoPv7gJfr2qd9auH/Wk/QaMJ5JR53Ck8+8TEGh9wzm/ubu+x7jhZff5uNPv+I/tz3IJ5/NafA1PAWLJLWJ461nrqFNorFQn7P3IM+98a1fxuyIa07HtJRE3v30N4pLnIMY3nj6KjpnptMQxo3qS0y0841vT+5BPnrjjcYN1oF5f+Vw4s1zmXHjXNZs9bzuEx/r3HdRaRU/LbVXzN6wo4B/PvorZ9zxvdMeqDsuHM6arQf4w5rZ3yQwY1g9FQuc3JKGvFmUYouXLCMdkiPYdbCK2tihtolm4qLtt6s5K4pte+BS4831ZhIJNCYRrpuaxrhe9sCR5DgTd8xo6zWaNFTo6WS5FTRon2Yoo8WtBZOaksyXn73BhHGjfGq/ZOkKbr3jIQYMOYLHn3wx4JlNLBYLs790FpyG5MKsLwKye1Z7Hr7jPNvrD75Y4PcPZnIbZ1dbbl4Be3IPurVzdJP6SmxMFP16uddO21nHPjKAyqoa9uSX2Na/PPHvJ4zqETUWxezftnlsM35wB7q0c94ovmOvYaku+nsv597zA7+v3Ov0/ilHZJOZFscTH9jdp+N6xZFRh9UGYHJQt1q35ObcKg6WeJ7DiOwYVu+yr0t2dbB+9h2qZvYyu0V9yohEIkNAQKIihMFd7A9DvTtEkxLv3yTJgaBDWjzx1ijXguJK8uvYpN8YHL0QzSmcWtxaOB3aZ/D1F2/xxSevccO1l3Pu2ady7NTJdOnsOV8hwMGCQu64+2Eee+L5gI7tuRffpPCQs1vPl/I8DQnrP+GYETbrbU/uQXbm+DfXZlIb57WUquoaDnhwfz7xfOM20ndOcf+w5+SXeGgJZRXVPPTmMkZd9AnHXvc1tzy3yGM7xzyOgNebVXSUmf7ZznkiM9saYvfw28uptCYxNolw1MhO3HnhcHIPlHHqrd+yyqEywIyh9deZKyi1u6MjrD7KdXvcg2oO6xpDdttIhnaN4QsHARviIBof/XGIKuvlstIjGd87dNa74h2syz0F1SzdWsbKne4JlUMJk0no3smza9JiUeTkl7B4dS5fL9juVq+voTTnJnZd8iYMMJlMTJk8nimTxzsdz92Xzzff/cw7737KAg+pql5+7T1uuO6KgPzDlZWV8/iTL7odP+2U421j27M3l25duxBRsrxRfew/WMQLb3zLoSJ7UMK+/EK6dGyYe7AuXMUN4M8VmznluNF88pVdXJ5+ZQ4XnDmZdm2T672m45Nsj07uEZarNru7EZVSXPbQPFY5ZN1fvsFzHstXXSpiOxaldOTNOeuYu3CH07EJQzqw70ApW3MM17VJhPfvP4pNOwu59Xn3qNROKRF17vMCIyJyS54RMWg2GcmGAbbnu0cRdkmL5PgpKTw2dz8l1uwk6Q5VtudvKOX3jfa/93njktySMAeTHu2iEIx1xR37q3jiG+NvedrINpxYn+s2CFRVW/jox01OZYwc97o9+8kqvl6wnR6dkliwci/JCVHcdsFwpozoFIzhNggtbmFMu4x0/nHOaZw8KYO7HknhhTe/c3p/1+49bF35lU835FriM8fX3wj4/sdf2euSGuum668kISGOk2dezLff/wIY4e/ff3gXPbPdkwfXx20PvsOnc5xvuClJ/i3c6uqWBNi99wBD+nfji2+WUG3dJ1ZVXcP7n8/nmkuOc29fR3BIdqa78GzaWUhpeRVxMXZX3IqN+52EDWDyMLt1vjXnEPe+spTlG90F7/CB7d2OlVdW88T7K52OnTetN8mJ0Tz6znLbsWF92rJk7T4eeXs5nqioViilvD4gVVRZeO5Huxt3cOcYm3VTVuXukjSbFC/9UsDaHMNCEODyySlsy69i9l9FLN9ut/aGd4tx2u8WCsRHm+ibGcWaHGcL56c1JSEpbne//Adzfnd+wEm2VlxXSvHhD5spLqsiv8Cw/guKK7nx6d+ZPrYrN59zGInxDSsU25xJ3rW4hTm10YXXXDKdl97+3q1m0+r1Oxskbt7chY6iZ7FYuO/B/zm9f/Kxo5gyMp2Rh09zyspRWlbBuo27GiVu+w86uwdnnnA43bPcb+RNwZPlBvDh7AX0zO7A2g27bMf+XLnF9rOv0Y5t4t0DISxKUVBU6SRu//tghVObmUd257ozhwDw9jfreexd5/drGdkvw831CLBrn7vr88Lj+7B++0He/94e8h8XE+FV2ADyimrYmlfF2pwKBnaOoUua83zeX3yIHGtEZHSEcM5Yu5i75pgEqKhyTqd12qg2lFVaeHzuAacoyw5JEZw3LtnruILJtMEJrMlxtr4jQ3TpzTGACIyHmYHdjaLIFqVsVlyNRZGeHGMTua8XbGfp2n3cf/kohvfJ8Kmv/QeLeOrlr/04+rrRa25hjKMQRUdFEmF2/4StWuuftF2OyYqXz/+QNWs3OL1/1ikTOOefT7qlm5owph9TJ9e/pcEVi8XCyjXb3K7lb5ISPYvbqrU7nIQNoPBQqd82XVc6ZA5RSrFio91qS4yL5JZ/DCM6ysybc9Z5FbaoSBP3XDLSo1W1x8O63t79pdz/2p+2DdEiRtRlXZhNcMcneby78BCzZuc7rS2t2lnOd6vs/Zw7Nol2Dhn0pw5KwOxwB+qSFkFMlPNYf15TwmMuwja+Vyz3ndqWtITQVIzDusYwoJOzRXnO2OTgDKYeHGvzHXt4F166ZZJtr6NJhIlDM23vP/nvcUwf29X2OvdAGVf891fm/l7/PaSgsIRjzriP5173f0SzN7TlFqa4Wlh3P/qBUxqpWt7/fAFXXzzdr+tulVXue9k+n7OYffnOe2guPnsK99x4OpGRDf833L4rn4OFzjfozHbei2g2lsjICEYe1pM//tpYb9tBfbvW22bJmn3c/9pSduQW0zkjgRIvyYorHFx2r361zum9GROM3KJvzl3v5lqsZcqITtx07mG0Tfac09DVFQVwxh3fO732JQbCIc0nh8otiAg/rynh5XkFTu2Gdo1hUl/nB4UuaZHcdkI6f20vp2NKJCOyYygstfDlX8W2KgJ5RY6BKHDTcen07xharkhXRISrj07l0lfte0u35VXWW9U7GBw9qjNL1xob8ffklzrdB25/YTEFRRV0SItjz/5S0lNiuf+yUUwa2pEHXltKQXEl1TUWbn1+MXmF5Zw3rbfXfp548Uu3bD+Bpl7LTUROFZFPRGS7iJSJyHoRmSUiiQ5tjhSRt0Vks7XNZhF5TkTc7FURmSQi60TkkIi8ICJRDu9liYiyfk32cO58EfmlCfNtFbgK27OvzeWtj+bZXp98rH3rwOZteykq9m9W9fRU97WFtz/51e3YfTef2ShhA89porp0atuoa9XHG09fxSN3nUffnt4jUEWECT3qX094fc46W8mYnfuKOXDIc3q0yqoalFI889EqnvloldN7ZRXVhrC952yxpSXF8POzM/jz9dN45KrDvQrbd4t38s0id3FrKumJZj7/s8hN2NrEmLh4UrLHB6jeHaI5Y3QS43vHERNpol1SBDcem0aXNOf/i+4Zkdx/akbIC1st8dEmrjwyxfZ6ze7mSYPXb8zYBrU/cngnW+aXvzbkk3ug1PbeH6v3sWx9Pnv2lzJjQhYZKcb/05QRnXjvvqPJdihM+8R7K3j0neVuyx4AuQdKeeWdHxsznSbhi1vyBqAGuBWYCjwHXAF8LyK1518OpAH3W9vMAk4AFomIbSONiMQDHwIvAScBhwHXeOn3gYZORuNMeUUVtzzwNvc8+qHt2KTD+7PUYW3oyPEDaePF9dZY2mck06lDWr3txs+4jdXrd9bbzhNdOqbTrq1zMMb6jbu9tG4aaSmJHHvkMPIOeE9Mfc4pE+jXrX7LsV2KZ8G54Lg+jOxnfxbMPVDGd4t38sqXa93abthR6CZs2R3b8N59R5GcGF1nfsiVm/Zz10t/2F7HRpu579KRREcZLj6zSTxGcPpC17RIPvrDOUFAhAkum5xCUpzvLsR+HaOZNbMdz5/fnodmZvDomRncc3JbOqeFdqYPV/pm2oV4Y26lX6qG+5vUNjEM72t/KKzdmA/OFRmuPMV5H2f7tDheu30yh/W2Rya/8+0GZr25zK2Phav22rxGg/rV793wF76I2/FKqZlKqXeUUvOUUv8DrgZGAZOsba5USk1TSr1mbfMycCbQDZjpcK2+wE6l1GNKqR+B+wBPadC/A0aLyPGNm1brRCnFM4/fw+U3Ps+lNzzH6GNv5pV37U9Mg/tncaCg2OYeiIuN5qHbz/X7OEpKKygqcbYGPQVmbNq6l3P/+SRVHtyl9SEi3HLVKU7HrvzPi+TmFTT4WvVhsVg4euY95O/3ntnlwiOSfbrWjeccxkXH9yUq0vmjd9rk7raFfIC5v2/n1+Xu611J8VFs3+sssocPas/bd0/xaqk58uQHKyl3yPxfVlHDQ28us1UDqLEocvJLvZ3ulf4do/lzm/N+uq7pkdw+I73RdcwSY810ToukQ3JkyBX59IXUBLOt7lxVjb0Aa6gxtLdd3NZuMyJb8wrKnJYX8g66e3faxEfx3I0TmTzc7tH4+KfNfDZvC/sOlvHsx6s4WFTO6q32aNkkD9HHgaJecVNKeXKU1m6a6uhrGys7gB5W12QacA6wwe1M+BhYBtwvLfG/Oki88NQD3HzfW3w6ZzGfz/2DnL32f6oTjhlB105tWbnGWPwVEZ5/+DK6BsCVd/P9b1F4yPkGmZqcwJx3b3dru2vPfn5b7G6d+MJpJ4xxel1YVMqjLmVo/EFuXiG793ovXTJhTD9b+HR9xEZH8K/TBvLD0yeQ1cHuvl26Ls9psX7Byr1ume57dk7in6cN4JDDRloReOKascRG1+/ezT1QyspN7lsFSsqdHy5Ky70/bCQleA793rDX7nbr3zGa1y/N5MHTMujZvmW4EQNFPwc36tqc0KzQ0TfL7j5dtWk/lz30C0df/aXT/0HbZM8PKNFRZh7+1xiOGW3PtPPsx6u4/L+/8PLstTz+3go+/mmz7b3fFq3xdJmA0NhoyYnW73XdldzaKKX2AbcD3wP5QDbwoIdzlbXdIOD0Ro6xVVGS8xu7PGSwT09rw3/vOJcjxg5g9rf2jdx33TCzUVGK9bFl+14+8lCnLCM9if1e3HqueRprqays5okXvuTaO1/l46/cC2lGRkaQ3bWd07Ev5i72+16adm2T6txi0DGx4SVNEuOiGDfYvv0hJ6+Ebplt6JRhPNlWVNXw7SJnl+3GnYU8+Lqz22fsoA5E+Rhn/uLna9xK3DSUqaM7M6iHu8u59iE/JlK4bHJKQNNhLV6bz+K1njewhxp9HPbhbcoNTcutbze7uK12yBlay/SxXclI9b50YTaZuOuiESRbH3z2F1awNcf4rH+z0P9ru77SYHETkY7AvcAPSimPiQKtwSb/wxC2zx3fU0o9DWQAPYFRSimP+ZKUUnOB+cC9IuJz1IGIXCoiS0VkaX5+aBcK9Be1ASQ9u2c6HX/rmWv4Y+5/OeeUCU4VpM8+ZTxX/OOYgIxl6YotHo+fPH00d/zXvfxOVGQEo4f18njOrKc+ZdZTn/LOJ79x5c0vMt+DhecqbgWHSikta9hNpKbGwn2Pf8SpFz/CF9/84fa+yWSqs8J2p7aNc7Wsd8jK39EqakcM8x604glf2+87UMoXv26tt921Zwzy+l5KYjQf/LCZf58+iDfumEyE2fn2YTbBhROSmy1Ev1bkQlnokh3WGqtCcM0NoG1yLG2ta8GOEbK9uiRz+Un9ufPC4fVeIzY6glED2nk87vi9OWmQuFmDQ74AqoELvLSJAN7DcEeeoZRy83EopQ4qpTYppep7xL4VQwTP93WMSqkXlVLDlVLD09P9HxoeqlgsFt752B6ROOnw/kyZMIg1G3by5fdL2buvADAsqAduObvJaxg1NRbe/ngeH3+1kBqHeHBPOfSGDsymTUIs23buc3vv/lvOIiPdPUuHUoo3P/rF6dinX7vnUvSUaiuqgRGYH3wxn6dfmcOvC9fwr1te8pg78pTpY7wGyWQ2Utz2OaxjJCUYT/gXHNeXzi7JjL0xuGcax4/L8qntkrV59Rb0jIkyc+603k5Z4rM6JNIhLY4Is3CwyHCrXfjAz/zz0d+44ezBJMVHkRBjYkr/eB4+ox1jewUnz2OoixwYWyVCNcfkCeOy6J9tt+BuPvcwPrj/aC47qb/PnoF+Du7NWu6/bBSDeqRxzCjDbTlsULZ/BuwDPoubiMQAszFciccopXZ5aGMC3gCmACcqpTxvwvERpdRvwDfAnSLSup33Xqi12r7+YRkLlhj7oUSEC886kpMvfJjjznmQy298wdZ+UL+uxMU2/Vf53me/cd1dr3PlzS9y+HG3cKjIWGOLi3Ffk1m2agtX3OycZzIiwsyr//sn559+hMfrWyzKltqqlrc/+ZUFfxhz3JmTz8Kl6932n/XunklUVMPE7af5f9t+rqis5rM57jkUo6IiuOBMt90pgG/7wTwxwCFzyP/eX0FVtYWUxGhe/M8kJg/vSITZRFpSDP934wTuuWSE07mnTe7O/904gYqqGpas2eexDpsjW3Lqr9M1bnAHvlm006lgZXSkmT37S93cmcVlVfTsnMwvz53Iby+eygUTkmmfFPxts6FmzbWJs99idx2o5puVnpNi+4OGbgNwRARWbzHW6CcOzeSMo3wvvFvL8L5GtG9aknF/aZcay5iB7Xn51iP412kDeP+F6/jyrVsbPcaG4tN/o4hEAp8AI4EpSqlVXpo+j7FGdqo1GtIf3AYsxdhuoHGgVtiUUjz50le245eddzTf/bychUvXu52zfpN/wuX/+tvu4tq6Yx/PvjqXW645hRof17uOnjSY447y7u4wm02MGtqTX35f7XT8pAv+S1RkhMcN6QATRjc8S0laivO+vMeen83pMw4nId45+tCbtVtcZqy5/bkujwde/5O+WcnceeEIW3i9Ny47qT8/Lt1FeWUNW3Yf4tvFOzhubBbt0+J47OqxVFbVIAKREWbudgjfP/Pontx0zmFs31PEiTcb2VCOH5fFvZeO9NpX7n67lWgS52rYtcREmbnVodJAckIU63cUeL3mwlV7bZF2/caMZc3CBXXOt7mpFbhRff2XSLsh5BZW89+vnEX2m1XFTBvsm2XenBzWqy214RF7GxEtC9CvWyrXnjmYKcM78cPSXQzr3daW7SQtKZZBwxpeFqop+LKJ2wS8AxwJzFBKeayzISKPARcDFyilPvfXAJVSyzCE9Vag+eJIQxzHjdq//L7aFgUZEx3JjKkjeedTzzkgd+bsZ1cTy8Ls3XeQT792tm72W115vy70LRrKU0JiV669zPNOEG/CBjB8SA+f+nfkjBOdn3jz9x/iw9nuASxLV2zyeH5xaRWVVTXc/sJituYcYs7vO3jifc8psRzp3C6B86f3sb1+9O3lHDhkD66JijQTGWEI5KFSe9BKraCccss3tmPeKgTUsiXHvo3Bm3fyqwX2NErJCVEkxtW9r8x1X1+/MWObZD34QmMssmBYcwWlNTz4Zb5bvbr8opqQ3O82qGeabTP3hp0Ftge2hnLetN5kto3nvGm9PeY0bU58cUs+C5wGPAqUiMhoh69OACJyM3Ad8Bqw0aVNdz+M8w6MTeJD/HCtFo9rBpKnXrInIz37lAl8+/Nfdfr212508yg3iNff/5mSUucIxw4ZKRQVl7ll6XckJdn+xOqLa3TM8N7ccvXJDRpbfFzDXa69ursHZTgKmcVi4ZH/+5w5P9gjFQ/rZbcGisuq+PzXrezdb3/i/eCHTez3oejjCeOzbD8XllTy+TzPQR+OYdnxMRHk5Jc4raHt3Oe9wGlRSSXrtrsXWAXDWnNlWJ+2fPTgMez0kFy5ludumuA1mCXQAtcSeH9hIflF7mnoAD5beohvVhZTVO75/WCQEBtJ1/bG51MpI3rX3/gj52pD8EXcplm/3wYsdPm62KXNhR7a3NHUQSql1gFvNfU64ciS5Ztsa20REWauvGAqvy9xd0c6Upfl4wvz/3DOdRgVGcHZp4zn0zmLKC3zvpfH5ODWa5vmWxaMay87nrnv3c7Zp4y3WTF1sXTF5nrbOFJWXsmZlz/udrzSYQ3rxnvf5JFnv7C97p+daosuAyOrxyuz3SM56wvg+HrBdmbe5lyGyFNeToCCIvvvtbLawt0vOdfn65sZxZqFCzy6Buev2ON1XfCE8Vk21xEYQSr/u3ZcneO+55KRjB5Qd/WFUBW45rDeqmsUixwqG7gy+69i3lpQyIs/FQR8LA0h3SEJgKMHoaVS75qbUirLhzaT/DEYpdQ2wOPChlLqArxEaLYm6rLaTj52FJ0z09leT4LS197/iWOPHNroiMnEBOcNnelpicTHxTjlrwTc1sZqg06ABu2xGzaoO8MGdefSc4/mkuueY8MW75nqv/lpGbdec4rX9125fda7LPrTPY9AbRTmT/NXOc1rzPDeHDU4kftete+CKSqtcop8BOjSLsFp42tVdQ1bc4rISIklOTGa//vkb176wtmFGxlh4ngHS66W4rIqpyCPfz8x363N9CH2dcNages3Ziz7DpTy/Ger3drXcsFxfTl7ai9+XLKLHp2SGDuoAyaTMPs3dwsyJsrMpw9NpUO6b6sDobgO1xwUlNY47fsrr/L8ZJFfHDqWG0CpQ5HS6FCt0dMAgh/epGk0H3+1kG9/WW57fdVFxl6s+lxzvy5cw1ffLeX4Y0bU2c4bY0f25cff7DFFOXsPcvplj9nW/WqZOvkw28bxuNhom1XXt2dH+vZseCXfvj078eVbtzD2hNu8psJatymH7bvyfMq8sn7Tbt76eJ7H944/2gh2+cRh+8HUI4Zw+7WncdTMe2yW0Ii+GUwcmsnrXztbszn5JTz5wUqG9m7L3v2lvPTFGvKtbsopIzrxwxK7azglKZ4pEwdz3mmT6Kjc1/WKS6uw1BOSedbpk90eVv5an8eNzyy0uUfNJnGyJvtmpdA+zQjdv+C4vk7nVlS633if+PdYn4WtNZMUZ7ZV4/YmbAAzhoZWYEmug1u99v+iJaPrubVANmzOYfrZD3ClQ3j9idNG0ruHsQZy7mkTGToom4R47zn97nj4Pa+ZQerjrJPHExPtHGywdLmzOzA+LsZpc3Zaiv2DPPHwAY3qF4x1uxuvnFFnm++sgq+UYsnyTSxcut5pDbK0rILr73qd8TPc04EBDOmfxWEDjf04ZQ4bwqdOPoynXv7aVpOuU0Y8D14xiiE905kywlmsq2sUb8xZzzVPzGfWm8tswgY4CdvEw/uz9LtHeHbWJYwa6jn8un1aHNecPoiEWO8BHka6Lott3h/+sIlLH/rFSdjGDnZ2JV5+Un+v1ztxYjbTx3YlMsLEuMEd+GTW1HpdkS2FQLsmI81CWmLdls+I7BhG9/CvgDTFSq6qrmG/1RVpEnFyu7dUtOXWgigtLePpV+bw8DOfUeGwJtQ5M80pAfKV50/FUmNhmTX7f2JCrFtZm5y9B3n8+dncef1MFv25gT25B5kyYRCJCfX/U5tEKK+oO5qqpLScD76wf9jSUtuw0xql6VrXraEMH1x3ROTbH89j2uSh3Pf4R3w21whweeCWs7jknKMAmP3NEjeLbVC/rjbL09Fl2qt7ppEsDtiyPZe/19lTYv3nvKG2dYrbzh/G31sOOAWV1Effnh158ZHLffqdnz+9DzOP7M7s37axZfchPvrJ+WHiqsd+o11qLCP7tWN3XgnL1ttd08mJ0Tz8zzFkZSZyd80S9heUc+mJ/ZhwWKZrNzZSEqO5/7JR3H/ZKK9tfKG1uiaT40xeA0riooQThyZSXG6htNJCaryZiACmK/OFfQfLbN6I9OQYt+wzLREtbi2EoqJijjj6VNaus7utIiPMnHbC4dxy9SmkOkQiWiyKV9/7yfb6usuPZ97vq932jL309vf0ys7k6ttfAQzr6tPXbq7XZXjTfW/6NOYVq7fZfu7aKZ3l1r1xaxpZ5qaWXt07YDabnDKjOLJ2426GHnWD07EPvlhgEzfXigWHDehG927tbeLmWPS0Q7tk2895+w9RUWkX9U4DDgeMOSUnRvPY1Ydz6axf3BIRD+6ZxtRjJlBcUs63v/xFpw5pnHzsaE6ePrpBG87jYiJtm2sH9Uzj8XdX2LKGgFEm58v525zO6ZuVwmNXH25zJz57g6ciHBp/opRiT4H3oK1qi+K2j+0PH+2SzDx4WgYxkU0XlDULFzQqmGePw0NZuzrySLYkWr48txLeee9TJ2Eb0KcL3390F/+770K3uma/Llpjy2KflpLAxWdP8VhHqaKympff/cH2ev/BYs647HGKS7xHepWWVTD3R/eaTfURYba7aTLbe9//UlBYwmvv/8QnLmm9HImOiqR7lnseu7rYuGWPbV6u9eseu+d8pyoGSUn293P22POTJifFO7kOf1u8lo7DpnGopJKl6/aRk1/K7RcOJ8Flf9i//3Um119xAnfdMJPfv5rFhy/dwBknjfMobB2HTXM75onjxmbx9ePTee6miZwztZfHqgSnTu7Oq7cfodfJmpn84hpKKryvtbkmk8ktrGFbXuP2lXmiMZay4yb/9mmBc0k253YAbbm1AL77YR533POI7fX4UX157/nrvD71v/eZPaLy1OMOJzoqkkH9sjy2nTC6n1MgyJ7cg7z63k9cffF0j+1fevt7J5eoL0RFRji53np19+4Ou/bO1/j6hz8Bw1K63EuC5wF9urJh8x6fx1BWXskX3yzh7FMmOAlUXGw0vbIzndbkTNYavPvyC50qiA/s2xUB3rVukF/85wZeevt77nx4tk2ITSKYXVxM0Q1MB+YrsdERjB7QjtED2nH1zIEsW5/P1pxDREeZGdqrLV07JNZ/kVbK4rX5Actcsj2/4ULl70KsDbXg9h4Ir2AS0JZbSFNYWMQ1193JSaddRGmp8WSVmpLME/dd6FXYDhYUO202PvNkY89Sh3b2pKaO/vRuXdwtoJ8dci264hruX0vvOgTr7FPGU3CopN62lZXVNmEDeOU97xncvFUScMQkws1XnWR7/d5nRgh9VucMW4BLaVkF23bucyqm+ufKzWzbuY/TLn6EPGtUZvuMZI47ajipDqm6lq3awn+f+czJwrQoRVW1/fXAvl2YPC7waYciI8yM6t+OM47qyUkTs0NK2EJ1z1ugaIwVVlAa3G0BjmvF7bVbUhMoDhYUMuvhp+k/ZBIvv/au7XjHzPZ8P/d9+o44yeu5n85ZbNtbNqR/Fv16Gdm4HQNKoqLsT4kpyfH06eGcaWLBknU8/vxst6CRgwXF7NhtRJrFxkQ5WSRvPH01bz59NXdeP5MPXrzeKbOIRcH6zfa9ab17eM5s8eV3zhuTd+7O91qle/qUYZjrWfS2KMXwQd2JsG7+/uOvjWzetpfiknIOFdl/HxnpSYwdYU+D9b8Xv2Lk1JtZu9HIw2kyCY/fcz4x0ZEM6NPFVnWgtKzS6TquDBuUzWtPXoXJ1LCPma+uSU1oUlTesHqC/TKjiDQLh8r8K3ANcU/uO6DX3DQBJHdfPnfc/TB9B03g/llPcrDAHlU4fdqRzPvhE/r0rjtS0NEleebJ420/H3Qo41K730xEGDW0F8ceOdTtOg89/Rm3PPAW23flMfvbJWzcsodCh03YqckJtHewBssrKpk6+TDGDO/FUy99zaynPrW91yOrPZu37rW97pVtL9LpyOsf/Oz02mJR5OR6ThvVNq0NU8Z7rz1W22b4kB5MmWBv9/7n83njw5+pslYcyO7ajuSkeE49/nAG9u3ido2oyAieeuBipkwYbLvmrf/2vEl80uH9WTTnIZ66/yJefPRyvnr7No8leTThzcDODUsBl54YwbXv5HLF63vZdcB/a2/gu8A5Vn2I8kNgSygQHrNo4dTU1PDY/16g/5BJPP7kixQV2V143bI68+arT/LBO8/ToUPdQRRbtueyx0EMTj52NACffLWQG+91j3CcMXUEbdPacOwUd3EDeOeT3xhxzE1cfN3/cdTMe5xK0OTkHiTJITCjdlP3rKc+taUDq6VX90ybNdmhXYpbQMeCP9bRb8I1LF7mXL4GDOvNG7NuO4cuXjZrx8ZE8cysS4iPi3YKZlm5ZjuvvGN3d54+w3CZxURH8sGL19PTQXjbZyTzxZv/YeYJhztd+/Lzjmb8KOdNzwBdO2eQ3bUdZ5w0jhOnjarXstQEl0DtdxuWFcPEPr5bP7+utz80PjKnaUnNPeGLwDkGQRWX+ldgg4X+9AWZbdt3MvW4s7nznkcoK7Nv9O3bpwcvP/8oy5d8zyknTXfLPhGfOd71Uvy84G/bGtHhI3qT1CaO3Xv2c9Vtr7ht2I6Ljea+m88CjECJ+rL0l5ZVUFlVbVvrUkqxdYe9+OiHXyxAKeWUPxLgvJmTnDZwu27+Brjv8Y+8ZhzZmeP9BtQpM43Zb/zHYxLmB289myPGDqCyspqf5tuzqQzq15X9B4tsr599bS451sjS9NQ2zH7zFm7/96k8cMtZ/PzpvQwb5J7322Qy8cKjlzPpcPsm6ImH9+eeG0/3OtaGEm6uyda07iYiHD2wcRGq3vbGNZX6BM6xAkRRmIibjpZsBoqLS/h90VIWLV7Gvrx8lFLEx8dRXFzCx59+TUmJ/clt4IC+3HLTvzh++lENXqtZs8G+f+yYScZG5KioSI8h9cOHdLdtIRARjj96uNdUVAAd26fSp0dH/n3pcZxxmZFo2NGSW785h1Vrt9Oxgz3Mv2vntjx4y9lUVlXZ9qVt3bGPZSu3MHRQNiWlFdx47xssW7XFa78ffLGADu1SGdi3i1vdNTC2FZxzygRefPt7p+PPvjaX02eMZdee/U7JnPv16mzLMAJwqKiMdZt227YnpKUkcvUlniNFHUlPbcMHL17Poj83sC+/kGOPHEpkAyuAaxpGqBQg9YW2iRGYTeD40YswwZ0ntuWdhYWs31Pp9VyLRWEy+X9Td10RlE7i1shyN6GG/jQGgPLyChYvWca8Xxfx62+LWPLnCqqr6w6fN5vN3HLTv7jxuiuIiGjcn8VRDB9+9nMW/LGWHtkdiI2JpLTM+cO0dsMuamosNtdZ53rWhnpmd8BkMjG4f5btmGt1gSV/baJj+zTb6xnHjCAqKoKoqAhmHDPCVg7n0ee+4N3nruWZV+fw8ZfuddMc+X3Jen5fsp6ICDOXn3c0N/3rJJv1N2/havblF3LEuAE2cTObTNRYLOzJLWDtxl10z2pPXGyUbf6X3fi80/WHD+nu0cXoCyLCmOG9G3WuJryJjzbRNzOav3cZD1b9O0Zz+eQUUhPMnD8+mVs+3Of13BoVOJeaN4FLiIuy/Vxc6l14WxJa3PyAxWJhydLlzPt1Eb/8tpBFi/+kosL3f5CePbrx8vOPMnzY4CaN49gjh/KGNSijpLSc7+at4Lt5zkUzaxMY5+0/xENPf8o/L5hGUps4vpu3vM5rV1XVsGnrHu559EPbsajICMpqKm0/Z3XJ4JbLn7C9v2dfge3n6y4/gc/m/oFSih9+Xclfq7Y0qDxNdXUNz7w6l+9+WcHj957P1h37uOrWlwEjjVUtqckJnDx9NNdcOp30VKOszmXnHs0TL37lds2Tpo3i4TvP0xZXKyaQ+92Gd4uxiRtAaoKx9tslLZJhWTH8uc1zbtfIAKfi8iRw2i2pcWLHjt289e7HvPXOJ+zc5b0MC8CA/n2YMH40vXp0w2w2U1xSQnV1DUMPG8jYMcOJjGz4Js74zPFOJXAmHd6fS885ys1FV4vJJJw4baRtE/KTL33NK+/+yF03zHRLfOzKgiXrOPy4W52OTR430LYvbcyI3vyywDm9l2NKsF7dM5kxdQSfz/0DgCde+JKUJO/rEm0SY7npyhNZt2k3y1ZttblcN2zJ4bhzHnRqWxuyX9vPff850+n9m686ieys9rz10TwqK6vo26sTZ508wWui4lCh47BpzV7gMZC0tjyTw7Jief03I+J53Z4KqmqUTbhGdo/1KG4DOjW82G5jcBW4RAfLrahEi1urpKKigq/m/MB338/jnfc/81rxulfPbCaOH83ECWMYN3YkbdPTPLZrCq613USE+285iwvPOpJNW/dQXlHFT/NX8fuS9cTGRnHDFTMYM7wXn81ZbFt3Ki4p58Z7POeKHNCnC3n7D5GbV+D23vQpw2xZ6AHSUxOdtgoAjBjivG3h5GNH28Rt0Z8bufP602yvXTlUVMY9j33Izf86iYfvPI+3P/mVux/5oM5iqACnHj/G7ZjJZOL0GWNtkZEthXASNmha1vqWSGqCmbQEM/uLa6ixwP6iGtonG7fcLl4ykswc5VsRX3/jFC2p19zCl92791BRWUm3rC6ICGVl5axctYaPPvmKDz6azYGDBYwYPsRJ2NJSU5g2dTKTJoxh4vjRZGYGrzxIdtd2ZHc1tg2c4KFm278umuZUWdoTQwdm89LjV/Dmh7/wpENB1ImH9+eSs6ewd18BN9zzhu34J18tcjo/LSWB6VOGOR37dI69TXbXdpxy3Biuu+t1j/3Hx8VQUlrO/f/7mF179vPwnecxedxAHnzyEz6bs9jpd5+e1oYumelceNaRnOZB3DThwai+6QEJKgmka7JtoiFuAPuKqm3iVlrhHuRlNkFGPaVy/Imj9ebsltRrbmGBUorvfviVt975iK3bdlJaWsaGjUb0XnpaCqmpKWzavA2LxfmfcfmKv0lNTWboYQP5xzmnMX3akURHN49Loalcf/kJTB43kA+/+J3X3v/JY5uPX7mBhPhYbrhyBt2z2rN9Vx7DB3dn8riBiAgz/vFQnX3cdcPpbvu8tu+0Z0JftmoLfcZe5fHcjPQkMtKT+HvdDsDY3H3hWUfSp0dHnn/4Mu687jR27dlP96z2HiMoNaFHqFttgRK4xBj7Z6Cs0v5Atnmfu4CcPLwNibHNWwG7VuD0mlsYUStqD/73KZb+ucJjm/z9B8nf754ho2uXTpx79imcfebJdOnsOZVUKGMymRg2qDuFhaUexW3EkB4kxBuJjqOjIjnjxHFubVyrbrviaX/Yf64+mfP+9aQt8bJjSH5aSgL7DxpZVBITYrn3pjM4+cKHbe8vX7XVliYss31qnZUFNKFFqAtboLBYnEvfRDro1qZcZ3Gb0DsuaJW51yxcQHofeyKHcBG3VreJ2xC1eRxx9KmcPPMir8LmiIjQq2c2Z51xEl99/iZ///UTt9x0VYsUNkfGjurjlIDYbDZx/ulH8MGL19d7blcvmUEA/nXhNKdMH7UcMXYAH718I8MGZdvyUibEx3DZeUfz4mNX2Npt3rbXSdiABtU902gag79dnnNXFrProCFuJoHOqZGUWN2ROQedt9EM7BztlqihOdFuyRbO5i3b+OfVt/LbAucghujoKC78xxmcdspxREVH0S2rC0ltEtm4aSslpaX07tmduLiWX3bdleioSL544z+s35xDcUk53bpk+OzmO/nYUU6bxmv55bN7bcmaPTF6WC/mvncHSikOFBTTJiGWyMgIqqqqaZvWxpZhxZG42GiOGDvA94lpQoaWZrX50z3pGA1pUXDtO7kocNvcDfDarwWM7h4bkM3bvrDlz0VEmIXqGkVllYWKyhqio5rXRepvWoW4WSwWnnvxTe6691GnFFdRUZFc+I8zuP7fl3kMAOnVM7s5hxkURMStKoAv/OuiaaQkJ/DKuz9SUlbOxDH9Oe+0iXUKm2u/jkIaGRnBBy9ez5MvfcVP8/8mLjaa7lntSE9twwVnTCYlOTguG42msbRPinDKRFK74uapBm9ppeK9RYc4+/Ak9zebAREhNlIosiZQLi6r0uIW6pSUlHLmeVfy40/zbcfMZjMXX3Am1//7Mjp29JyhXlM3JpOJc0+byLmnTfTbNQf06cJLj13pt+tpgktLs9pq8Zf1NqRLDPPWldbf0Mry7eV+EbeSCgvx0Q1fcUqINtnK9RQUVZCWFNPksQSTsF5zs1gsnHrmpU7C1r9fb+b9+AmPP3K3FjZNyNLS97i1VGGrxR/rb0OzYujZPsrp2OR+cQz0sFE7OyOySXvcaiyKj/84xPb8Si5/bQ/3f5HH6l117wl1JSnOLge5B7zXKWwphLXltmXLdoqK7eVjrr36Uu687d9ERUXVcZZGo9E0nQizcMtxafywuoTdB6vp1T6KQZ2jueqtXFubNrEmnji7HTFNqKGmlOK1Xwv4eW0pP60pwaJgbU4lG/bmc9sJ6fTu4NsWpcyUCNZZ3ahrtx/k8EHB26vrD8Ja3ByF7Z47b+CGay8P4mg0mtZBS7faavGHezI60sT0Ifa1ZYvFOaPR4M7RXoXN1Xp0HMvWvEp+WlNCYoyJPzaXsafQ2CheWGZf0KuxwNsLCrnv1Ayfxto9I4qf1hhu1EVLN3LR8Y1LKB4qhLVbspa7brsu7ITNNfWWRhMKhIuw1eLv7QEmkzCmhz3yek1OJTv2u+8r89Tv4rX5LF6bT1FZDbO+zOenNaVszq1kT2ENSbHGrXxcr1juP9UuglvyqmzbD+ojO8Pu0dqwp5JVC+bX0Tr0CXtxu/2Wa7jpBh2koNFoQoPpQxKojfjfX1zDrNn5FJYalletgNXFCz/kUVJhWIAHSw3hOmVEItMHJ3DJpBS6tY2mU4rdKbct37dN2Z1SIki2rrsdKrewendFi35YCWtxa98+g1tu8pziSaPR+JfmuBEGKgdkXfjbeuvWNoqLJyXbMpYcKrfwzLf7fOpHKcWGffYiwWlxFm48No2hWbGcdXgSEdaqAz0cAlme/f4AHy4+xB+by1izu5ylW8v4blUxy7eXs2RLGWWVhkCaTMJoB6vy9w2Gi3LNwgUtUuTCes2tQ3vffM0tEddyNxqNJnD4O/fkxD7xJMWaeWTOfgDW7LUwINNC+zZ12xu5RYoS69a5mAiY0D2CitJiNuxwFv6jBsTz67pSLMpYh/tiWZHtPZMYm8p7to9k494q0hLMzJqZQXy0ibE94/hmpRGrsGRrORdUWYi2rgnWVck7FAlryy3cic8cH+whaAJAS9wG0FxP9oGoCtCQvv3Zf0VpMd3S7LfgeRurvZbQAiMYZf5me9qubukmp4wmjuPLSo/i6qNTaRPrfovvYK1MsG2f4a7cX1zDd38beV27tY2kQ5LxfnmV4q/tzjXnWpIVp8WthaMFThNsWsrNzl/4Q+Rqzx/fI8K2/pZbpFiX6z3444/tNeQUGuInwMBMzxlEasc3IjuWJ89pz7VTU5nSP56hWTF0z4hkZHYsE/vEkZFkd9x9s6KY8ioLIsKYnnbX5IKNnve7tQSRC2u3ZGtBuyg1wSLUb3CBpFagGuqudBTG5FhhaGczS3cY62gLNleTnW4iOsI5x2RRuWLJdvta26gsc70uzFpX6vBusQzv5p4bt8aiuP7dXPKKaiiuUPy5tZyxveIY2yuOT5cabswVO8qpcHBNuhLKrkptuYUJ2oLTNDfNLWzBdEnWRVMtueFdzMRb4z9Kq2Dl7hq3NtsOWGy5KdslCsO7Nj3vo9kkjOsVZ3u91RpV2T4pgphIQ1xrLJBTUO3x/FpC1YrT4hZGxGeO1yKn0QQJX0TO0/tREcLobg6h+/vdXZOlDoVOO6eYMPlYHqe+8XRNt5e62ZZnRKp8s7KY8ip7f44FV+si1EROi1sYogVOowke3gSlLqHpkmK/FReUuQeVOBY6dRSeptLdYeP2upxK7vp0H28tKLQdG9MjlvTElrl6pcUtTNECpwkkofSEHoo01FXpWIu30t0rSVq8/VadX9IwcatrHKkJZlty56gIYVOufcN3r/ZRXDgxuUF9Qej8b2hxC2O0wGnChVBdb6uPWpGrb/y1GUcA2/qbI6lxdjdkoQfLzpdxeOOcw5PolBrBxD729bdJfeK4+bg04qJarkS0THtT4zM6klLjb0LlyTycOFRuF6w2Me7raVU19vcj/VxDtEe7KGadlsH6vZUkxZkZ3CWabm1bfuWUlivLGp/RgSYth5a4gVvTdAod9kp7EjdHV2RyrG/BJK7UZb2ZTELfzGhOHJboF2ELhQcgbbm1IhwFTltzmsYQjJtWS3VJNgTHIJG4KHfxyiuyv982QdskvqB/S62UWmtOW3QaTfCJdjAz8ovd19RKHcTP1IS7dmt4UKhFi5vGSei02Gm8EQqupnClU7L9VrztgIW/djpvnM5Msr+/ancN+cW+1WgLJsH+f9HipnFDC50mVGgtlkZ6goleGfbb8W+ba1iXa98T0LOtiTjrfuvyavj4ryr2lzRO4FrL71SLm6ZOtMBpNM3DlN4RZCbZ19t+WFfNzoOGgEVFCFP7RdoiJStrYNFWDxviNDa0uGk0IUTHYdOCPQSv9BszttmT5AajOGmwiDALxw2ItO1psyj4dm2VLdikU4qJEwba02VtzrewJb9xAtcarDctbhqNpkE0t8i1RIEb1Tfd7csXYiKFEwdHEmvVsNJKnKoBdEw2OVl3X/1dzU/rq7BYQn8NrrmpV9xE5FQR+UREtotImYisF5FZIpLo0CZRRB4VkV9E5JCIKBGZ5OV6k0RknbXdCyIS5fBelvVcJSKTPZw7X0R+adRMNZoWQihbb44Ew5ILVXwRMl8FLiFamNTTHj65YneN0/raEb0inLKY/L3Hwp87G27Bhbv15ovldgNQA9wKTAWeA64AvheR2vPTgAuBauB7bxcSkXjgQ+Al4CTgMOAaL80f8GFsGo0myNSKXCCFLtSst8ZYZbXn+UKPtiY6tLG7Jz9dXsWuAkPg0uJNnDk8ymkz98KtFix1VPEOBsF+8PFF3I5XSs1USr2jlJqnlPofcDUwCphkbbNdKZWqlJqCIX7e6AvsVEo9ppT6EbgPmOCh3XfAaBE53teJaDThREux3lwJpMgFW+AaI2aNRUSY3DuCCOsduqwKPl9RxYpdNSiliIsSslKdN3uXVja8n3C23urNUKKUyvNweIn1e0drG18fGXYAPawuy1XAOcAGD+0+BtKB+0XkqwZcX+NndCaT4NFx2LQWm47LUeCCud8p2ILoiVF9030SlbR4EzMGRTJndRVlVYYFN29TNYVlZib0jOBQhXP7onJFQnTjUnOFI41NvzXR+n1tQ05SSu0TkdsxXJcRwFLgSk9NgduBOcDpwPuNHKdGowky/hQ6b8IQiiJWF74KXMdkE2cMi2LO6ipyrSm4lu+uoUeGySmZMkBRhaJDQEbbMmlwtKSIdATuBX5QSi1t6PlKqaeBDKAnMEoptd9Lu7nAfOBeEfFZhEXkUhFZKiJL8/MPNHR4Gk1I0VLdk97wx/pcYyMRQw1fx50YI5wyJJLOKXarbEu+hRqXAMmi8sY5uALhmgz2ehs0UNxEJAH4AiNw5ILGdqqUOqiU2qSUqi9+9VYMETy/Add+USk1XCk1PD09tbFD1Gg0moDjq8BFmIXBHe21bnYetGB2uXsfaqS4hSs+i5uIxACzgWzgGKXUroCNyopS6jfgG+BOEYkOdH8aTSgSbtZbLaHwdN+S6JhsotZ2yytWRJic19e25FuorA4d6y3Y+CRuIhIJfAKMBI5VSq0K6KicuQ3oBFzejH1qNCGFFrjwxVfrLTpCyEi0C1qeS/Lkkkr4fUu162mtFl82cZuAd4AjgRlKqUUBH5UDSqllGMJ6KxDfnH1rNBpNc+CrwHVLs9+yiyvc31+ZY9HuSSu+WG7PAqcBjwIlIjLa4atTbSMRmSYipwK1mXYnWrOb+OOR8w6MjeJD/HAtjY/obQChhbbewhtfBG5wJzNx9RTKXp8b3HyTofL39EXcaj9RtwELXb4udmj3HPARcKf19d3W13Vt6vYJpdQ64K2mXifYlOT8pgVDo/FAqNwQg019AhcdIYzNrjt4fO1eC3prsG+buLN8uZCv7eq5xjbA4y5EpdQFNCFCMxTQ5WM0Gk1T6dPOxKocYe8hzwJWUKbILVK0b9PwDd2L1+a32K0VruiqABo3tIWp0YQuIsLEHnXbJev2Nr7WW1Pdk8GuwF2LFjeNDS1qGk1w8VVY2rUx0a+999v3hn0WaiyNd02Gw9aAxqbf0oQJWsw0mpbJ4dkRbMqrpNKDkVZeDdv2W+je1uz+ZitBW26tFG2laTShRUOtpbgoYWSWd/Fal9u0AqZNsd5CwTWpxa0VUStoWtQ0mvBgQAcz0V78b1v3WyiralrUZEt2T4a1uOlwWDta0DSa8CMqQhjQwbP1ZlFGSq6m0liBC7b1FtbilpfnseBAq0MLm0YT2jTFQhrU0YzJS9T/nsKmixu0TAsurMUtNzePqqqqYA8jqGhh02jCm8QYYUpvz77JPV72wjWGxghcMK23sBa36poaHn3ieR55/DkOHSoK9nCaHS1sGk3roE97M0f1iSA5VuiUbDfjDpYq1ufWNHiJZvsBC79vqeZgqbPl15IsuLDfCnD/rCcBqKio4PZb/h3cwTQjWtg0mpaBvwSjb3szfdsb629zV1exMc8Qpm/XVrN8lzC5dwRtE+q3Z0orFV+uqsKiYOmOGsZ3NzOkkxkRsY23IVlM1ixcEJT0amFtuTmSntZ6CpdqYdNoWjejssxEOcSZ5BYp3ltaxZuLK1mzp+7sJZFmIxillt8217Aqp+VZcK1G3C74x+nBHoJGo9E0C6nxJs4YHkWfdianYJOCMsUP66vJqSPQJNIsZKc7S8Nvm6spqXB2bTZE4IKx9hb24hYXF8veHcuJjm4dhby11abRtBwCaQElxwpH943krOGRdElxDqf8bm0Vh8q8r8Md1TuCCAd1qLEYAteSCGtxS05uw45NS0hMTAj2UJoFLWwajcaV1HgTJw6O4uwRkZitGneoHD76q5IDJZ4tuOhIYVx355CMDfssbD/QePdkc1tvYS1u3bK6EBsbE+xhNAta2DQaTV2kxZuY1j/C5qYsqYRPl1dRWunZghuYaXKz+L5cVdUk92RzEtbiptFoNKFKMEQhO93MjEGRRFrv/KVV8Nsmz+5GEeGoPpFOxyzKcGm6bi3wdS7Nab1pcdNoNJpWROcUw4KrZWOe9/I48dHC9P7O7smdBYpt+93dmaFmwWlx02haCLv/nBvsIWjChKw0M4nWGDuLggMl3oNLurc1k5Ho7J5cssPzdoJQEjgtbmFCfOb4YA9Bo9G0IDIS7bf/HQfrzkGZFOMsbnlFCkuIJ6bX4qbRaDStkMwku2At3lbD1nzvm7sTop3FrUbBoTIoq1IUlSsnt+bitfkhYcGFffotjUaj0bgzINPMyt01FJZDtQW++ruaiT2NKgOuJHjYJvzV31UcKDVELTYSJvWMoGeG/dyGpunyN9py02g0mlZIpFk4YVAkbay7pRTwy8ZqFmyudouGdLXcAJuwAZRVGTksC0Io0bIWN41Go2lmQsFtB5ASZ2Lm0CingJE/d9bwzZpqqmvs4tW+Tf1SYVGwyUNx1GC5KbW4aTSaoBPsqs2hTE6BfwqOeiMuSjhlSCTd0uxysDHPwucrqyivMgQuMca5lI43Ckq9B5k0t8C1WnHLlZRgD0Gj0Wh8IqfAElCRizQL0wdEMDDTLgk5hYpvHTZs15bTccUxB2VJZd39LPg7r8lj9ZVWKW61wpYrKWElcno7gEYTXrgKWiBFziTCpJ4RjMu2i9j2A4rlu4woSkfLDiAjQRjZ1cyJg+xZTFxTc7lSWo/4+ZNWJ26exCzcRE6j0YQ3gRI4EWFolwiGdrYL3B/ba6iuUVQ57BSIiYAzhkcxulsEbWLt7soSL3kqa6nykgklELQqcatPwLTIaUIVnZ2k9VGfgAXSihvTzWyLoqyoNtbgHKMjU+LsghbnkH6yrAqnQBRXYiPrX7fzF61G3BoiWlrkNBpNSyEQImc2CQMy7dbb3zk1FJZ5FjeTSWxCCEbdN4sXCy0m0uPhgNAqxE0LlUajaUk0Rqz8LXL92ptt5XH2HFIUOIibq3T172AXwlU5Fj5dUUVFlbvANZ/d1krErZ062CznBBtd002j0fhL4OKihOx0u0RscUjPVVbl3HZoZzPd050jLd/4o5LF26rZlFdjS89VXzSlP2kV4tZQWqKwaTQaTS3+ErgBDhbZoXL78XIXq8xsEo7tH8HoLLNDGyNn5ZzV1Xyxsooai2LvocDu2XOk1Yibr4LVUoVNW20ajcYRfwhc5xTn9bRayqvcj+UWKa/VBXYVKMqrYMl278mZ/U2rETdf0MKm0WjCiaYKnIg4WW+1lDlYblU1il83VfPhsipyCj0HkgztbGbrfgt5xc23FaBVVQVopw56DS7RwqbRaDTuDOpoZsXuGqf1sopqsCjFroOKnzZUObksAZJihXaJQlaaiW6pJooqFB8u82DuBZBWJW7eaKnCptFoNPWRU2AhM7nxTrqoCGFqv0g+WW4XJ5PA+lwL36+rdmrbJUU4olckSQ4buyuqFF+vrqa6+ZbbjDE2b3fBx1XIWrKwaatNEw7opMmBp6nuyY7JJsY6pOXq2dbEj+vtwhYdAUf1iWDGIGdhU0rx7bpqpz1yzUWrtty0sGk0Go1vDO1sJjpCqLYo9hUpavdpp8cLMwZFEu+h5tsf22vYtr+ZTTYrrc5yA0PUWrKwaTQaTUPxS3BJppkhnSLY6RAVeUSvCI/Cll9sYfG25ouOdKVViltLR1ttGo2mMfhr/1u5w1Lbyt01VFa7ux0dw/4zk4QozxVzAoYWtxaGFjaNRtMU/CFwvTPs0rF+n4UP/qwir8h+3f0lFjbm2V8P62ymspmNOC1uLQgtbBqNJhQ4olcEfdrZ5eNgmeKDZVWs2F2DUsrJastKM9EppfmlRoubRqNpUSxemx/sIbR4mmq9mU3C0X0jOapPBJFWFbEomLexmjmrq9mwz379kV3NXjd3BxItbi0EbbVpNHbCWeACVaMtEP30bW/mjOGRpMfbA0o259uv2zVVSI0TvlzVvBu4QYubRhPy6EKl7ozqmx7sIQSMpmy4DkY/KXEmThsaSWqcc8RktBkGdzTjXiCnedDiptFogkq/MWMb1D4chC2Yc8hMNvldQCPNwkmDI+nX3kT7NkJ2mmBRMHtVNd+urSG2GYuU1qLFrYUQnzk+2EPQaDTNRCCst0CImiPx0cKUPpHMHBqFBaHK6p3cut9CafN7JesXNxE5VUQ+EZHtIlImIutFZJaIJLq0SxGRl0UkX0RKROQHERno4XqTRGSdiBwSkRdEJMrhvSwRUdavyR7OnS8ivzRyri0eLXCacKWh1ls4UJ/15i8hCrSoeaKkwtkVqYLgmfRlxjcANcCtwFTgOeAK4HsRMQGIiACzre9fBZwCRAI/i0in2guJSDzwIfAScBJwGHCNl34faMR8wh4tcBqNxleaW9Rq6dE2+E5BX0ZwvFJqplLqHaXUPKXU/4CrgVHAJGubE4BxwLlKqfeUUt9Yj5mAmxyu1RfYqZR6TCn1I3AfMMFDn98Bo0Xk+MZMKtzRAqcJR7T15o4v4lRrmXn6ChbDupiJ87DOFtOM2Yzrnb1SKs/D4SXW7x2t308AcpRSPzucVwh8CcxwOG8H0MPqmkwDzgE2eLj+x8Ay4H6rVajRaFoBrVHg6qMu8QqmgNWFSYT+me75tszNONzGdjXR+n2t9Xt/4G8P7VYDXUQkAUAptQ+4HfgeyAeygQc9nKes7QYBpzdyjGGNtt40mvAgHKI/PTGss7v15ljwNNA02EgUkY7AvcAPSqml1sOpwDYPzQ9Yv6cAxQBKqadF5G0gDdiilPK4k1ApNVdE5gP3isjHSqlqT+08jO9S4NLa/uNTemz15bwwIB3jgaG1oOcb3rSm+bamuQLENEcnDRI3qwX2BVANXOD4Fp536nl0KSqlDgK+1Jy5FfgVOB942ZcxKqVeBF60jnepUmq4L+e1dFrTXEHPN9xpTfNtTXMFY77N0Y/PbkkRicGIiMwGjlFK7XJ4+wCG9eZKivV7o4qnKaV+A74B7hSR6MZcQ6PRaDStD5/ETUQigU+AkcCxSqlVLk1WY6y7udIP2KGUKm7CGG8DOgGXN+EaGo1Go2lF+LKJ2wS8AxwJzFBKLfLQbDbQUUQmOpzXBjje+l6jUUotwxDWW4H4Bp7+YlP6bmG0prmCnm+405rm25rmCs00X1H1bB0XkecwrKYHgK9c3t6llNplFcD5QGfgRgw35C0Y0Y6DlVI7fRqMSBawFbhEKfWyw/E+GNGYZmCeUmqSL9fTaDQaTevEF7fkNOv324CFLl8XA1gjHo/DCPH/P+AzjKwmR/gqbHWhlFoHvNXU62g0Go2mdVCv5abRaDQaTUsjNLe3AyIyVkS+E5F91iTLy0TkQof3X3dIsuz6tc7lWr4ma/b0NSTYc7W26S8in4pIjjUx9WoRuV5EIlzahfRcGzDfISLyjYgUW9vMFpEeHq7VEuZ7hDXpd5mIHBCRt0SknYd2KeLf5OPNPmdf5ioiiSLyqIj8Yp2DEpFJXq4XsnO1jsGX+R4pIm+LyGZru80i8pyIZITpfIdZP7u7RaRcRPaKyBwRGdOs81VKhdwXxlpdGfAzRvquo4AXMPbSXWFt0x0Y7fJ1hrXNww7Xigf2AddjBMX8Adzo8H6W9ZwHPVxvNBAXAnPNBPKA5cBMYDLGGqgF+G9LmWsD5tsTKMJwfc/ASMS9EsgBMlrYfMcDVRjr1ccC5wLbMdaQox3aCfAbsAs4EyMJ+TyMzb2dWsKcGzDXLIztQz9gBIspYJKH64XsXBs434+AuRh7gydiLOfsBrYACWE43yOBZzDuxxOB04DfgUpgZHPNN6Af7Cb8Eh+0/iISXI4vAhbWcd4d1l9Gf4djw4E/HV4fD3zp4Rd4cajOFSPjigJ6ubR5H9jTUubagPm+DBQAyQ7vdwLKcX5waQnz/QHYBEQ4HBthHdeVDsdmWI8d4XAsCUMEnmoJc27AXMXh5yl4F7eQnWsD59vWw7kTrO0uDLf5ejk3EagAnm6u+YaqWzIK4wmhzOV4AXW7Us/D+GWtdjjma7LmYOHLXGtN9UN1tIHQnyv4Nt/RGEJXUPumMpIG/I1RKqmWljDf0cD3yiF9nFJqCbAf57n4O/l4MPBprsp65/KBUJ4r+D5fX5LPQ5jM1wslGOLmWLY0oPMNVXF73fr9KRHJFJFkEbkEw3R9wtMJIjIW6AG84Xhc+Z6s2SQiES5f7mmt/c/r1u91zfUjjLE/IyLdRKSNiJyE4RZ4rPZCLWCu4Nt8azCsO1cqgO5iZMtpKfOtay4DHF77O/l4MObs61x9IsTnCk2bb+2e4Nrk82E3XxExiUikiHTBcFOCQxrFgM83GOatjybwCIz1B2X9qgQuqqP9C9Y26V7eT8EQP5PL8SyHPly/ikNlrtaxr3ZoYwHubGlz9WW+GAVtdwGRDscSMaw7BXRoKfPFWEdY7HKsq/XvV+FwbAPwvofzL7aOt3Ooz9nXubq879UtGcpzbex8Hf6X1wFrcHDxhdt8MUqX1Y4vFxjXnH/fZiwd5zsi0hNjoXk1xgbyMgzXzPMiUq6UeselfTRGoMVXSimP2bVV/cma78dICu1ITeNm4Du+zFVE2gKfYpj2p2K4ASYDt4tIhVLqv47XDNW5gs9/2ycxFqGfF5E7MRJ8PwYkWC/jVEkilOeLMZe3ReR+4CmMHKwvYszBcR7+Tj4ejDn7OtcGEaJzhUbMV4zo5vcw3JFjlYdqJ2E035uA/2Ik9/gn8JWITFH2ajJAAOcbaLVv5BPCR8BmHJ7crcffwTBfXRV+JsaNYUYj+soiuIu09c4VeARjvS3Fpc0D1GGthtpcG/K3Ba4ECrE/qf0AvILhAon0sa+gz9c6jvswRLzW4n4PIy3dFoc2i4FvPZx7k/W8BB/7Cvb/c71zdWlfr+UWqnNt6Hytn+V3MAKjjgz3+bqcF4XhnfimueYbqmtuA4EVSqkql+N/YNSBc90f8g+MG+OcZhibv/FlrgOBTcp4wnFtE4lh0rcUfPrbKqX+z/rzAKCLUmoKxpaIxR7ODWmUUndg1OwahOFSPRNju8N8h2aBTD7ebPg417ChgfN9HqP48hlKqR+bb5T+o7F/X6VUJcZ2nma7V4WquO0Fhjhu6LMyCuOpp7YIKtYNhEcD77a0m54VX+a6FyOqKMVDGzD2zLQUfP7bKqUqlFKrlVI7xdjMPAV4rvmG6j+UUiVKqVVKqVwRmQr0wbjZ1RKw5OPNjQ9zDSt8ma+IPIaxfnqBUurzIAzTbzTm7ysicRih/5ubY4zQiErczcQzGO6rL0Xk/zDM4BMwNrc+YX0KqOVsjHm84XaVhpEtIqM9HN+glDrg4bi/qHeuIvI8xjy/E5FHMNbcJgE3AJ+phufvDNZcwbf5dgKuwNj4WQEMw6gK8alS6r1G9Bm0+YrIYRj5WZdZD43DSC7+sFLqd4emszE2rb8tIo7JxwV4uBFdN/ucGzBXRGQaxibe2gwsE0UkHShRSs1tYNdB+fv6Ol8RuRm4DngV2Ogy1jylVENv+KE+3xcwHlKXYnjUugL/AjpgRHg3lMbNN1i+Wx/8rdOAXzAycxRhZOe4EjC7tFsBrGpCP1l4j8hRwKmhMFeMPSZzgD0YgSWrMcJoY1vSXH2ZL9AOY40tH0Pc1mBkMXCLLAv1+WK4GudjRHqWYdwYLvDSNhXjBngAKAV+xKiq0SLm3MC5bvMyvm0tYa4Nma/1f93bGF8Pw/leiPFguh/DG7MZeBcY2Jz/yzpxskaj0WjCjlBdc9NoNBqNptFocdNoNBpN2KHFTaPRaDRhhxY3jUaj0YQdWtw0Go1GE3ZocdNoNBpN2KHFTaPRaDRhhxY3jUaj0YQdWtw0Go1GE3ZocdNoNBpN2KHFTaPRaDRhhxY3jUaj0YQdWtw0Go1GE3ZocdNoNBpN2KHFTaPRaDRhhxY3jUaj0YQdWtw0Go1GE3ZocdNoNBpN2KHFTaPRaDRhhxY3jUaj0YQdWtw0Go1GE3ZocdNoNBpN2KHFTaPRaDRhhxY3jUaj0YQdWtw0Go1GE3ZocdNoNBpN2KHFTaPRaDRhhxY3jUaj0YQdWtw0Go1GE3ZocdNoNBpN2KHFTaPRaDRhhxY3jUaj0YQdWtw0Go1GE3ZocdNoNBpN2KHFTaPRaDRhhxY3jUaj0YQdWtw0Go1GE3ZocdNoNBpN2KHFTaPRaDRhhxY3jUaj0YQdWtw0Go1GE3ZocdNoNBpN2KHFTaPRaDRhhxY3jUaj0YQdWtw0Go1GE3ZocdNoNBpN2KHFTaPRaDRhhxY3jUaj0YQdWtw0Go1GE3ZocdNoNBpN2KHFTaPRaDRhhxY3jUaj0YQdWtw0Go1GE3ZocdNoNBpN2KHFTaPRaDRhR0SwB9DSEREBJgEZQR6KRqPRNJa/lFIbgj0If6LFrQlM7hWh2iYIcVHQKTk4RnDnjPig9AvQrmtWUPpt07F3UPqNatMtKP0CFEtsUPrdVnwoKP0CrMvdG5R+t+zOCUq/AEV7g9C3AnblIB3SYe/+9kqp3OYfhP/R4tYIRCS7U7JsrrbAkI5mkmKFzCCJ26i+iUHpF6DfmD5B6bfjsGlB6Tc+c3xQ+gXIlZSg9LsgL3g3eln9d1D6zVv2V1D6BShauTw4HafEwf5CKCrdK107wI69CUqpkuAMxj9ocWsAIpLWo60pPzVOyE4zkZGolyw1Gk0YIALpyZDaBvbuh7iYYunZBTbtjFBK1QR7eI1Bi5sPiEjMwA6msqQYSI0VBmeaMJbaNBqNJowwmSCzLWSkwq5cSIitlv7dYc0Wk1JKBXt4DUGLWx2IiGlEF3NNUgwgMLlXBGaTFjWNRhPmRJghKxMqKmH7HkhOsIjIMKXUsmAPzVe0X80LE3pEqNQ4qSkoU0zoEUHvDLMWNo1G07qIjoJeXQ2hS078UzJSlYh0DfawfEFbbi6IyID2bWRVhAlGdjWTEK0FTaPRtHIS4mBAdzh4CMoqtkmndrB7X6pS6mCwh+YNLW5WRKRjVqrsapsg9GtnIjVeG7UajUbjREobSE6EfQcgLuaAZHeErTkxSqmKYA/NFS1uVjq0kV1lVTAuW7sfNRqNxisi0C4N2iTAyo3Qo3M5EHI3TW2eWNlzSMW1TRB+2lDNjoMWWlhgkEaj0TQP1TWwbQ+s3wY9O8OmnSGpI9pys6KUKsPIppV+oETlbcqzMKCD3sum0Wg0AFgU7M039sFltoXiski1ekt1sIflDS1uLiil8jFErsfmfMvGjXkWBmaaaRMTcla3RqPRBB6ljOwlO3MhLQlKyxPVxh3FwR5WfWhx84JSahMgk3tFqGU7a0iMgX7tzcRGapHTaDSthEMlsC0H4mKgpCxTFZfuCfaQfEWLWz38tKFaRER6tjVbFmyppkMbE70zTESYtchpNJowpazCEDWl4FBJf1VYvCbYQ2ooWtx8wJp2RkQkMiuVyp83VtM93UxWmmDSabg0Gk24UFUNO/ZCcRkUlRyhlPol2ENqLFrcGoBSqgpD5NqUVqnCnzdY6NveRIc2WuA0Gk0LpsYCOXmQfxA6tYM9+WallCXYw2oKokPeG4+IdMpKlZ3FFdAuSAKXkRwTlH4BUtq1D0q/8emdg9JvRHxw5gtQRnRQ+t1bHryqJzsOBCf5xd79+UHpF6B0//7gdJy330iWvC00N2Q3Bi1ufkBEsoCLgc+C0P1JQeo3mH23tn6D2beec+voe5xS6skg9BswtLj5CRFZqpQa3lr6DWbfra3fYPat59w6+g7mnAOF3qGs0Wg0mrBDi5tGo9Fowg4tbv7jxVbWbzD7bm39BrNvPefW0Xcw5xwQ9JqbRqPRaMIObblpNBqNJuzQ4qbRaDSasEOLWxMRketE5EsR2SMiSkTu9tLuF+v7rl//DlS/ItJBRGaJyFIRKRSRPBH5UUQmNKbPesaTLiKvWvsoE5HFInKMv/vx0ndHa997RaRCRLaKyKwA9pcoIh+KyCYRKRGRAut8z/FzP51F5GPr3+6QiHwqIl382YeHPo8RkZ8cfpe7rHPtF8h+XcZwrIj8KiLF1nkvFZHJAe7zCBGZb/3fPSAib4lIOz/30UlEnhaRhSJSav3cZrm0OVJE3haRzdaxbBaR50Qkoxn6zvJyj1IiktyU/oOBFremcwmQAXzuQ9uVwBiXr/cD2O8w4HTgC+BU4HygHPhFRI5rZL9uiEg08BMwFbgJOBnYCXwlIpP81Y+XvrOAP4BewNXA0cDdQCDrTEVZrz8LOAE4C1gHvCUi1/qjAxGJw/id9gH+AZwL9AR+FpF4f/ThhVTgT+BfGL/LW4D+wCIR6RrAfgEQkcsw/l//xNjQfBrwERAXwD7HA98BBcApwDXABOBH6/+2v+gBzAQOAr95aXM5kAbcj/F5qv0fWyQiCQHuu5ZZuN+niprQd3BQSumvJnwBJuv3CEABd3tp9wswvzn7BZKBCJdjEcB64Fc/juUc6xgmORwTDDH/I8C//28wxC0yBP4XFgKr/HSta4AaoIfDsW4YonpdM8+rt/Xve32A+8kCyoB/N/P8fgA2OX5WgBHWOV/px35MDj9fbL1+lkubth7Om2Bte2GA+86yHr+4OX//gfrSllsTUUFKLupLv0qpAqVUtcuxamA50NGPwxmNcVOa59CPwngaHiEi/uzLhoh0B44BnlZGUutgsx/w1zhOABYpo64gAEqprcACYIaf+vCV2oSHgf4dXwhYgOcD3I8ro4HvHT8rSqklGPM+yV+d+PiZzfNweIn1e6M/R8G6TwUTLW7Ny2HW9ZMqEVkpIhc19wBEJArDzbDWj5etAaqsguZIbQLWAX7sy5Gx1u9lIvK9dY3ooIi8KSJpAerThhhEiEiaiFyKIbT/89Pl+wN/ezi+Ggj4+peImEUkSkR6Ai8Ae2m8C91XxmG4d8+wrjVVW9c1/xngfmuASg/HKwjc/25DmGj97s/PbF3Msv7uC0VktogMbKZ+/YouedN8/Aq8A2zAcBeeB7wsIh2UUvc34zjuBjoBZ/vxmuuBNiLSVynl+AEcY/2e6se+HMm0fn8VeAtjraCH9Xs/ERkZ4CfWfwJPW3+uAq5RSr3pp2unYqyPuHIASPFTH3WxGGPNFgyX3WSl1L4A95lp/XoEuBXYjLHm9oyIRKjAJfZdj2G92bCuL3Yg8NZqnYhIIsYD01p8W9dvChUYDzLfAXkY6723Ar9bP0vNJa7+Idh+0VD6AqZg+Jzr+/rFw7l1rrl56e8zDHfecc3RL0bggwW4x5+/Bwyx3oex9jUQSMf4UFRb250eiN+/tQ8FzHa5zunW49MC+XcH2gLDMRb+/w/DArjMT/+LlcAsD8cfAKqb4bPQFxgFnIkR3LELlzWaAPS5wfp7Ptnl+FwMy1EC1O/Z1n7vxwjS6oPxMFoNlAWoT4/rXi5tIoCvMII5BjVn3w5tOwOHgLcD/T/n7y9tuTnzO8aHuj5K/dTfe8CJQHGg+xWR44HXgVeUUnfV07xBvwelVIGInAK8gRFEAsZT993AfcAeH4fZ0N9/7VrQ9y7vf2f9fhjGjdHf/QK29ZHaNZJvrBGOj4rIq6rpa4AH8WzxpuDZovMryv6UvlhE5gLbgP9gRPMFiv0YEaGe/p5TMSypHH93qpR6R0T6ADcAt2Hc+D8A5hAkt6SImDA+T1OA6UqplfWcEhCUUjtFZD5GgE2LQoubA0qpUgyff3NRW+G0XCkVsH5F5EiMcOrPgMvqa9+Y34NS6jdrgEcPwIzxFH4jhmW6zMdrNLTf1bWnennfJ5ekH//uSzHC9tthWDpNYTXGupsr/YA1Tbx2g7A+vGzC+NsGktW4uAet1H5OAuZiVkrdISIPAdnAPqVUroisBeYHqs96eB7DA3GqUurHII2hFsH7Zyxk0QElweUsjJv/qkB1ICJjMPYN/QicowK4BqUMNlqFOg5jL95bSqniAHW5CMNdNdXleO3rJTQvEzGscH+sTc0GRotIdu0B656+sdb3mg3rZuY+GNZ4IPnM+t118/8xwC6l1N5Adq6UKlFKrbIK21SMOTd35CYi8hiG6/ACpdTnzd2/y1i6YPzPLQ7mOBqDttyaiIgMx9gfUvug0E9ETrX+PEcpVWrdJPof4FMM904SxhP+CcB/lFIlAeq3D/A1kI+xSD9MRGzXUEotami/dYxnFsbaTD7GE/6NGIvxt/irD1eUUtUi8h/gdRF5HuP32wNjXeoXjE3Qfse60Xg0xv6oXRibbmdibJT/j1LKU+RdQ3kJYyP1FyJyO8aT830Ym+Nf8MP1PSIin2FY2isx1lp6AddirD89Fqh+rcwBfgZeEJF0YAvG7/Ro4IJAdSoihwHTsHsYxmH8/z6slPrdz33VfkZrg3WmiUgekKeUmiciNwPXYQRJbRQRR0s2TynV6AcMH/p+DON+shDD3d4b4/NrAR5sbL9BI9iLfi39C2Mdy1sAQpa1TQ+MtZ/dGBFJxRjrPGcGuN/z62ij/Px7eBXjRl9p/f40kNpMf4NzMcLmKzDW954GEgLY3+EYN+I91j53YwjddD/30wX4BENkijCi5bIC/Lu8GeMhpQBjjXE9hpgGtF+H/tsAzwK51v+llcBZAe6zP4b7sQC7G/2CAPVVX5DUL3W0eT3AfV+I4e04iPEwsxd4F+jdHH97f3/pkjcajUajCTv0mptGo9Fowg4tbhqNRqMJO7S4aTQajSbs0OKm0Wg0mrBDi5tGo9Fowg4tbhqNRqMJO7S4aTQtBBFZJyK31fF+logoETm/GYel0YQkWtw0mhaANdtMbwJf9kSjCQu0uGk0LYOTgE1KqdX1ttRoNFrcNBpfEJG7rS6/PiLyrYiUiMgOEbnA+v65VrdhsYj8bK2QUHvuNhF529pmvYiUichvItJTROJF5AUR2S8iuSLymIh4yvl6Ig5Wm4jEicj/Wc8rFpHZGEVoXcc9QkQ+FpFd1n7Xi8iDIhLr0OYZa9+RLucmiEiRNW+oRtOi0OKm0TSMjzCSUZ+IkYPxVRF5ELgCIzn2BRjuw3ddzpsAXImRu/EfQHeMvJHvYOSNPAN4ESNp7qWOJ4pIB4x6Wp87HH4BI3P848DJGDkgXfsEIz/lcow6bFOBJzFyCL7m0Ob/MIp0nuRy7tlAPEYSZ42mZRHs5Jb6S3+1hC+MwqsKOM/hWApGgtn9QBuH41db23a1vt4GHACSPLR52aWfZcDPLseuwEgkbLK+7o1R9fs/Lu2es17zfC9zEIxKIOdgZHpPc3jvF+BHD2P5Jti/e/2lvxrzpS03jaZh2Cp7K6UOYtRuW6SUOuTQprbwaWeHYwuVUoUe2nzrcv11LueBYSXOVvZafKMwvC4furR733WwItJGRP4rIpsxKhhUAW9hCF1Ph6b/BxwhIj2t543AqGQesPI6Gk0g0eKm0TSMgy6vK70cA4ip5zxvx23niUgbYBLOLskO1u+5Lue6vgbD/Xg58BRwFIZ7858exvcZRomT2krtlwM5wJcerqnRhDxa3DSa0GY6huD94HBsj/V7O5e2Tq9FJAaYATyilHpSKTVPKbUUo2aZE0qpKuBl4HwRycBYA3xFKVXtn2loNM2LFjeNJrQ5EWPdq8Lh2GKMNbOZLm3PcHkdDZgxXJGOnO+lrxcwqsR/ZD1XB5JoWiyeQo41Gk0IICJRGBGOVzoeV0qtF5F3gXtFxIRRPfko4FiXdoUisgi4XkT2APkYkZIdPfWnlNotIl9iRE1+qZTa6e85aTTNhbbcNJrQ5UggFmPrgSuXAa8AN2Csl/UBzvLQ7kyMLQvPAq9jrKtdU0efH1m/60ASTYtGlFLBHoNGo/GAiDwPdFdKHdWMfb4DjAWyHaIzNZoWh3ZLajQhilLq8ubqS0RGA0OA04HrtLBpWjractNoNIiIAoox9s5dpqMkNS0dLW4ajUajCTt0QIlGo9Fowg4tbhqNRqMJO7S4aTQajSbs0OKm0Wg0mrBDi5tGo9Fowo7/B3Uwj0lkOhcBAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting annual_pr_mean\n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "\n",
    "plt.rcParams['font.size'] = '16'\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(12,9.5))\n",
    "\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_extent([88,93,20,27])\n",
    "\n",
    "\n",
    "m1 = ax.contourf(bias['lon'], bias['lat'],bias[:,:],\n",
    "                levels=np.arange(-15,15+3,3),  transform = ccrs.PlateCarree(),cmap='BrBG',extend='both')\n",
    "\n",
    " \n",
    "# Define the xticks for longitude\n",
    "ax.set_xticks(np.arange(87,94,1), crs=ccrs.PlateCarree())\n",
    "lon_formatter = cticker.LongitudeFormatter()\n",
    "ax.xaxis.set_major_formatter(lon_formatter)\n",
    "\n",
    "# Define the yticks for latitude\n",
    "ax.set_yticks(np.arange(20,28,1), crs=ccrs.PlateCarree())\n",
    "lat_formatter = cticker.LatitudeFormatter()\n",
    "ax.yaxis.set_major_formatter(lat_formatter)\n",
    "\n",
    "\n",
    "plt.colorbar(m1, ticks=np.arange(-15,15+3,3), orientation = 'horizontal',shrink=0.5, fraction = 0.04 , label = 'mm/day')\n",
    "ax.coastlines(linewidth=3)\n",
    "ax.add_feature(cfeature.BORDERS,linewidth=3)\n",
    "\n",
    "\n",
    "\n",
    "plt.title('Seasonal Bias(GCM NORESM-TRMM)',fontsize=19)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias(gcm noresm-trmm).png\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "9003db92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Seasonal Bias-Percentage(GCM NORESM-TRMM)')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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(GCM NORESM-TRMM)',fontsize=19)\n",
    "#plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias_percentage(gcm noresm-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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