Seasonal Bias(gcm Miroc5-CRU).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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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lon: 720, lat: 360, time: 1452)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
       "  * lat      (lat) float32 -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n",
       "  * time     (time) datetime64[ns] 1901-01-16 1901-02-15 ... 2021-12-16\n",
       "Data variables:\n",
       "    pre      (time, lat, lon) float32 ...\n",
       "    stn      (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.4\n",
       "    title:        CRU TS4.06 Precipitation\n",
       "    institution:  Data held at British Atmospheric Data Centre, RAL, UK.\n",
       "    source:       Run ID = 2205201912. Data generated from:pre.2204291209.dtb\n",
       "    history:      Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegrid...\n",
       "    references:   Information on the data is available at http://badc.nerc.ac...\n",
       "    comment:      Access to these data is available to any registered CEDA user.\n",
       "    contact:      support@ceda.ac.uk</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-f0d7375f-3f46-4a39-ba84-97534bb8b284' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f0d7375f-3f46-4a39-ba84-97534bb8b284' 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'>lon</span>: 720</li><li><span class='xr-has-index'>lat</span>: 360</li><li><span class='xr-has-index'>time</span>: 1452</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-648d864c-61af-4c8c-b5e3-6f89b7e86959' class='xr-section-summary-in' type='checkbox'  checked><label for='section-648d864c-61af-4c8c-b5e3-6f89b7e86959' 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'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.8 -179.2 ... 179.2 179.8</div><input id='attrs-aaed28e7-7c25-4404-bd76-58a5e30f9ec4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aaed28e7-7c25-4404-bd76-58a5e30f9ec4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb306710-934f-4c50-a908-a22700ea1169' class='xr-var-data-in' type='checkbox'><label for='data-bb306710-934f-4c50-a908-a22700ea1169' title='Show/Hide data 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>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-179.75, -179.25, -178.75, ...,  178.75,  179.25,  179.75],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.75 -89.25 ... 89.25 89.75</div><input id='attrs-237e725a-bbe7-4e1a-bb61-920525a6b722' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-237e725a-bbe7-4e1a-bb61-920525a6b722' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2c26e54-2f48-4f47-ad56-5d6b8f4617c0' class='xr-var-data-in' type='checkbox'><label for='data-e2c26e54-2f48-4f47-ad56-5d6b8f4617c0' title='Show/Hide data 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>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-89.75, -89.25, -88.75, ...,  88.75,  89.25,  89.75], dtype=float32)</pre></div></li><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'>1901-01-16 ... 2021-12-16</div><input id='attrs-28226dc0-6aa0-456a-bd1c-4b2db2fc7155' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28226dc0-6aa0-456a-bd1c-4b2db2fc7155' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40e236c5-4071-4db3-9ee0-348cc91fd850' class='xr-var-data-in' type='checkbox'><label for='data-40e236c5-4071-4db3-9ee0-348cc91fd850' title='Show/Hide data 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>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1901-01-16T00:00:00.000000000&#x27;, &#x27;1901-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1901-03-16T00:00:00.000000000&#x27;, ..., &#x27;2021-10-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-11-16T00:00:00.000000000&#x27;, &#x27;2021-12-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ec2d09ca-cad1-40f4-8ed5-8c14a217b17d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ec2d09ca-cad1-40f4-8ed5-8c14a217b17d' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pre</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-b064c1b5-bcbb-47b4-8578-7edb469f20c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b064c1b5-bcbb-47b4-8578-7edb469f20c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5015d4bb-80b3-4428-950c-2def33588347' class='xr-var-data-in' type='checkbox'><label for='data-5015d4bb-80b3-4428-950c-2def33588347' title='Show/Hide data 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>precipitation</dd><dt><span>units :</span></dt><dd>mm/month</dd><dt><span>correlation_decay_distance :</span></dt><dd>450.0</dd></dl></div><div class='xr-var-data'><pre>[376358400 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stn</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'>...</div><input id='attrs-d70eb0c6-c57e-477e-b21b-909d89716161' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d70eb0c6-c57e-477e-b21b-909d89716161' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-008c975f-b3a2-433a-89b1-ddf398350ae8' class='xr-var-data-in' type='checkbox'><label for='data-008c975f-b3a2-433a-89b1-ddf398350ae8' title='Show/Hide data 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>description :</span></dt><dd>number of stations contributing to each datum</dd></dl></div><div class='xr-var-data'><pre>[376358400 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-28034e58-14eb-432d-b903-1a5666d5caca' class='xr-section-summary-in' type='checkbox'  checked><label for='section-28034e58-14eb-432d-b903-1a5666d5caca' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>title :</span></dt><dd>CRU TS4.06 Precipitation</dd><dt><span>institution :</span></dt><dd>Data held at British Atmospheric Data Centre, RAL, UK.</dd><dt><span>source :</span></dt><dd>Run ID = 2205201912. Data generated from:pre.2204291209.dtb</dd><dt><span>history :</span></dt><dd>Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegridsauto.for called by update.for</dd><dt><span>references :</span></dt><dd>Information on the data is available at http://badc.nerc.ac.uk/data/cru/</dd><dt><span>comment :</span></dt><dd>Access to these data is available to any registered CEDA user.</dd><dt><span>contact :</span></dt><dd>support@ceda.ac.uk</dd></dl></div></li></ul></div></div>"
      ],
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       "<xarray.Dataset>\n",
       "Dimensions:  (lon: 720, lat: 360, time: 1452)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
       "  * lat      (lat) float32 -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n",
       "  * time     (time) datetime64[ns] 1901-01-16 1901-02-15 ... 2021-12-16\n",
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       "Attributes:\n",
       "    Conventions:  CF-1.4\n",
       "    title:        CRU TS4.06 Precipitation\n",
       "    institution:  Data held at British Atmospheric Data Centre, RAL, UK.\n",
       "    source:       Run ID = 2205201912. Data generated from:pre.2204291209.dtb\n",
       "    history:      Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegrid...\n",
       "    references:   Information on the data is available at http://badc.nerc.ac...\n",
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     "execution_count": 2,
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    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/observation/cru/cru_ts4.06.1901.2021.pre.dat.nc')\n",
    " \n",
    "\n",
    "data"
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       "Dimensions:  (lon: 720, lat: 360, time: 383)\n",
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       "Attributes:\n",
       "    Conventions:  CF-1.4\n",
       "    title:        CRU TS4.06 Precipitation\n",
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       "    references:   Information on the data is available at http://badc.nerc.ac...\n",
       "    comment:      Access to these data is available to any registered CEDA user.\n",
       "    contact:      support@ceda.ac.uk</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-461d5476-6a0d-4c5d-98c1-f9db8fbef15f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-461d5476-6a0d-4c5d-98c1-f9db8fbef15f' 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'>lon</span>: 720</li><li><span class='xr-has-index'>lat</span>: 360</li><li><span class='xr-has-index'>time</span>: 383</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-edf34e4a-d212-4063-94c9-32172c0317db' class='xr-section-summary-in' type='checkbox'  checked><label for='section-edf34e4a-d212-4063-94c9-32172c0317db' 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'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.8 -179.2 ... 179.2 179.8</div><input id='attrs-f4877667-547c-4b87-8949-e1ae38913061' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4877667-547c-4b87-8949-e1ae38913061' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d5ae093-4c33-4e43-ba5e-8ed8a5911f63' class='xr-var-data-in' type='checkbox'><label for='data-1d5ae093-4c33-4e43-ba5e-8ed8a5911f63' title='Show/Hide data 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>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-179.75, -179.25, -178.75, ...,  178.75,  179.25,  179.75],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.75 -89.25 ... 89.25 89.75</div><input id='attrs-e7e4524c-2192-4f29-91d1-b753dcdf2a92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7e4524c-2192-4f29-91d1-b753dcdf2a92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2d3e5a0-7ab8-42f6-b26d-77fb208b29ba' class='xr-var-data-in' type='checkbox'><label for='data-f2d3e5a0-7ab8-42f6-b26d-77fb208b29ba' title='Show/Hide data 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>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-89.75, -89.25, -88.75, ...,  88.75,  89.25,  89.75], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-02-15 ... 2012-12-16</div><input id='attrs-a2fe863f-2dd1-492a-919d-f0761cc951d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2fe863f-2dd1-492a-919d-f0761cc951d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-383eaee9-55ac-485c-95e6-b57348cb99d2' class='xr-var-data-in' type='checkbox'><label for='data-383eaee9-55ac-485c-95e6-b57348cb99d2' title='Show/Hide data 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>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-02-15T00:00:00.000000000&#x27;, &#x27;1981-03-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-04-16T00:00:00.000000000&#x27;, ..., &#x27;2012-10-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-11-16T00:00:00.000000000&#x27;, &#x27;2012-12-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-75209898-1d5b-4571-8965-71f0fb28ccff' class='xr-section-summary-in' type='checkbox'  checked><label for='section-75209898-1d5b-4571-8965-71f0fb28ccff' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pre</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-ffc131a5-a7ed-43ef-a069-0c5b803b8560' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffc131a5-a7ed-43ef-a069-0c5b803b8560' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-563b1110-be82-4aac-a541-72c202682f02' class='xr-var-data-in' type='checkbox'><label for='data-563b1110-be82-4aac-a541-72c202682f02' title='Show/Hide data 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>precipitation</dd><dt><span>units :</span></dt><dd>mm/month</dd><dt><span>correlation_decay_distance :</span></dt><dd>450.0</dd></dl></div><div class='xr-var-data'><pre>[99273600 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stn</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'>...</div><input id='attrs-acfd45f0-fc08-4999-bfd2-52168f5ce9fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acfd45f0-fc08-4999-bfd2-52168f5ce9fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f74daa21-4d4d-4cde-9549-492ff6c276e1' class='xr-var-data-in' type='checkbox'><label for='data-f74daa21-4d4d-4cde-9549-492ff6c276e1' title='Show/Hide data 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>description :</span></dt><dd>number of stations contributing to each datum</dd></dl></div><div class='xr-var-data'><pre>[99273600 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9f324aea-bdf4-4ab8-835b-cdb9be3fce1b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9f324aea-bdf4-4ab8-835b-cdb9be3fce1b' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>title :</span></dt><dd>CRU TS4.06 Precipitation</dd><dt><span>institution :</span></dt><dd>Data held at British Atmospheric Data Centre, RAL, UK.</dd><dt><span>source :</span></dt><dd>Run ID = 2205201912. Data generated from:pre.2204291209.dtb</dd><dt><span>history :</span></dt><dd>Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegridsauto.for called by update.for</dd><dt><span>references :</span></dt><dd>Information on the data is available at http://badc.nerc.ac.uk/data/cru/</dd><dt><span>comment :</span></dt><dd>Access to these data is available to any registered CEDA user.</dd><dt><span>contact :</span></dt><dd>support@ceda.ac.uk</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lon: 720, lat: 360, time: 383)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
       "  * lat      (lat) float32 -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n",
       "  * time     (time) datetime64[ns] 1981-02-15 1981-03-16 ... 2012-12-16\n",
       "Data variables:\n",
       "    pre      (time, lat, lon) float32 ...\n",
       "    stn      (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.4\n",
       "    title:        CRU TS4.06 Precipitation\n",
       "    institution:  Data held at British Atmospheric Data Centre, RAL, UK.\n",
       "    source:       Run ID = 2205201912. Data generated from:pre.2204291209.dtb\n",
       "    history:      Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegrid...\n",
       "    references:   Information on the data is available at http://badc.nerc.ac...\n",
       "    comment:      Access to these data is available to any registered CEDA user.\n",
       "    contact:      support@ceda.ac.uk"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1981-01-16T12:00:00.000000000','2012-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "10070b93",
   "metadata": {},
   "outputs": [
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       "}\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:  (lon: 720, lat: 360, time: 128)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
       "  * lat      (lat) float32 -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n",
       "  * time     (time) datetime64[ns] 1981-06-16 1981-07-16 ... 2012-09-16\n",
       "Data variables:\n",
       "    pre      (time, lat, lon) float32 ...\n",
       "    stn      (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.4\n",
       "    title:        CRU TS4.06 Precipitation\n",
       "    institution:  Data held at British Atmospheric Data Centre, RAL, UK.\n",
       "    source:       Run ID = 2205201912. Data generated from:pre.2204291209.dtb\n",
       "    history:      Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegrid...\n",
       "    references:   Information on the data is available at http://badc.nerc.ac...\n",
       "    comment:      Access to these data is available to any registered CEDA user.\n",
       "    contact:      support@ceda.ac.uk</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-c7944755-ebb3-43d4-b904-901f458fd5cd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c7944755-ebb3-43d4-b904-901f458fd5cd' 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'>lon</span>: 720</li><li><span class='xr-has-index'>lat</span>: 360</li><li><span class='xr-has-index'>time</span>: 128</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-70f363ee-37be-4c07-8757-7c7d8e42f6fa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-70f363ee-37be-4c07-8757-7c7d8e42f6fa' 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'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.8 -179.2 ... 179.2 179.8</div><input id='attrs-e2648f4a-490e-4df4-b93c-8bce105fb34f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2648f4a-490e-4df4-b93c-8bce105fb34f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5ab8f50-8d7b-4ea3-87ad-8f71392388d2' class='xr-var-data-in' type='checkbox'><label for='data-d5ab8f50-8d7b-4ea3-87ad-8f71392388d2' title='Show/Hide data 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>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-179.75, -179.25, -178.75, ...,  178.75,  179.25,  179.75],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.75 -89.25 ... 89.25 89.75</div><input id='attrs-20251899-edcc-4a27-956d-2d2cd12ab032' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20251899-edcc-4a27-956d-2d2cd12ab032' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff26de3c-57ed-4e35-a866-202d7ce4d7be' class='xr-var-data-in' type='checkbox'><label for='data-ff26de3c-57ed-4e35-a866-202d7ce4d7be' title='Show/Hide data 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>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-89.75, -89.25, -88.75, ...,  88.75,  89.25,  89.75], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-16 ... 2012-09-16</div><input id='attrs-6104a69e-fdac-48c3-bc7f-b17200e79fb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6104a69e-fdac-48c3-bc7f-b17200e79fb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06341b71-37a1-43db-b169-d46fdfa6d689' class='xr-var-data-in' type='checkbox'><label for='data-06341b71-37a1-43db-b169-d46fdfa6d689' title='Show/Hide data 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>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-16T00:00:00.000000000&#x27;, &#x27;1981-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-16T00:00:00.000000000&#x27;, &#x27;1981-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-16T00:00:00.000000000&#x27;, &#x27;1982-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-16T00:00:00.000000000&#x27;, &#x27;1982-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-16T00:00:00.000000000&#x27;, &#x27;1983-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-16T00:00:00.000000000&#x27;, &#x27;1983-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-16T00:00:00.000000000&#x27;, &#x27;1984-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-16T00:00:00.000000000&#x27;, &#x27;1984-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-16T00:00:00.000000000&#x27;, &#x27;1985-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-16T00:00:00.000000000&#x27;, &#x27;1985-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-16T00:00:00.000000000&#x27;, &#x27;1986-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-16T00:00:00.000000000&#x27;, &#x27;1986-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-16T00:00:00.000000000&#x27;, &#x27;1987-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-16T00:00:00.000000000&#x27;, &#x27;1987-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-16T00:00:00.000000000&#x27;, &#x27;1988-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-16T00:00:00.000000000&#x27;, &#x27;1988-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-16T00:00:00.000000000&#x27;, &#x27;1989-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-16T00:00:00.000000000&#x27;, &#x27;1989-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-16T00:00:00.000000000&#x27;, &#x27;1990-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-16T00:00:00.000000000&#x27;, &#x27;1990-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-16T00:00:00.000000000&#x27;, &#x27;1991-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-16T00:00:00.000000000&#x27;, &#x27;1991-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-16T00:00:00.000000000&#x27;, &#x27;1992-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-16T00:00:00.000000000&#x27;, &#x27;1992-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-16T00:00:00.000000000&#x27;, &#x27;1993-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-16T00:00:00.000000000&#x27;, &#x27;1993-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-16T00:00:00.000000000&#x27;, &#x27;1994-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-16T00:00:00.000000000&#x27;, &#x27;1994-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-16T00:00:00.000000000&#x27;, &#x27;1995-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-16T00:00:00.000000000&#x27;, &#x27;1995-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-16T00:00:00.000000000&#x27;, &#x27;1996-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-16T00:00:00.000000000&#x27;, &#x27;1996-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-16T00:00:00.000000000&#x27;, &#x27;1997-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-16T00:00:00.000000000&#x27;, &#x27;1997-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T00:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T00:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T00:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T00:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T00:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T00:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T00:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T00:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-16T00:00:00.000000000&#x27;, &#x27;2006-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-16T00:00:00.000000000&#x27;, &#x27;2006-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-16T00:00:00.000000000&#x27;, &#x27;2007-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-16T00:00:00.000000000&#x27;, &#x27;2007-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-16T00:00:00.000000000&#x27;, &#x27;2008-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-16T00:00:00.000000000&#x27;, &#x27;2008-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-16T00:00:00.000000000&#x27;, &#x27;2009-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-16T00:00:00.000000000&#x27;, &#x27;2009-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-16T00:00:00.000000000&#x27;, &#x27;2010-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-16T00:00:00.000000000&#x27;, &#x27;2010-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-06-16T00:00:00.000000000&#x27;, &#x27;2011-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-16T00:00:00.000000000&#x27;, &#x27;2011-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-06-16T00:00:00.000000000&#x27;, &#x27;2012-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-08-16T00:00:00.000000000&#x27;, &#x27;2012-09-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-746dc443-1a98-42f8-b135-969687c46dc1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-746dc443-1a98-42f8-b135-969687c46dc1' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pre</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-8b8203cb-bf1c-4cda-9400-2465334290b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b8203cb-bf1c-4cda-9400-2465334290b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-052e1fc6-fa5c-4f2c-a033-1cfbad0fcd2c' class='xr-var-data-in' type='checkbox'><label for='data-052e1fc6-fa5c-4f2c-a033-1cfbad0fcd2c' title='Show/Hide data 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>precipitation</dd><dt><span>units :</span></dt><dd>mm/month</dd><dt><span>correlation_decay_distance :</span></dt><dd>450.0</dd></dl></div><div class='xr-var-data'><pre>[33177600 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stn</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'>...</div><input id='attrs-ec80b686-da3c-40b3-9330-8fec8991e84c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec80b686-da3c-40b3-9330-8fec8991e84c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d33d079-36b4-4d85-8df7-bdf741677751' class='xr-var-data-in' type='checkbox'><label for='data-2d33d079-36b4-4d85-8df7-bdf741677751' title='Show/Hide data 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>description :</span></dt><dd>number of stations contributing to each datum</dd></dl></div><div class='xr-var-data'><pre>[33177600 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eb3dc293-8937-4ece-9c97-de532a8895d4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-eb3dc293-8937-4ece-9c97-de532a8895d4' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>title :</span></dt><dd>CRU TS4.06 Precipitation</dd><dt><span>institution :</span></dt><dd>Data held at British Atmospheric Data Centre, RAL, UK.</dd><dt><span>source :</span></dt><dd>Run ID = 2205201912. Data generated from:pre.2204291209.dtb</dd><dt><span>history :</span></dt><dd>Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegridsauto.for called by update.for</dd><dt><span>references :</span></dt><dd>Information on the data is available at http://badc.nerc.ac.uk/data/cru/</dd><dt><span>comment :</span></dt><dd>Access to these data is available to any registered CEDA user.</dd><dt><span>contact :</span></dt><dd>support@ceda.ac.uk</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lon: 720, lat: 360, time: 128)\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 -179.8 -179.2 -178.8 -178.2 ... 178.8 179.2 179.8\n",
       "  * lat      (lat) float32 -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n",
       "  * time     (time) datetime64[ns] 1981-06-16 1981-07-16 ... 2012-09-16\n",
       "Data variables:\n",
       "    pre      (time, lat, lon) float32 ...\n",
       "    stn      (time, lat, lon) float64 ...\n",
       "Attributes:\n",
       "    Conventions:  CF-1.4\n",
       "    title:        CRU TS4.06 Precipitation\n",
       "    institution:  Data held at British Atmospheric Data Centre, RAL, UK.\n",
       "    source:       Run ID = 2205201912. Data generated from:pre.2204291209.dtb\n",
       "    history:      Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegrid...\n",
       "    references:   Information on the data is available at http://badc.nerc.ac...\n",
       "    comment:      Access to these data is available to any registered CEDA user.\n",
       "    contact:      support@ceda.ac.uk"
      ]
     },
     "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": "db55dbfb",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (time: 128, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1981-06-16 1981-07-16 ... 2012-09-16\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",
       "Data variables:\n",
       "    pre      (time, lat, lon) float64 nan nan nan nan ... 187.2 218.3 252.9\n",
       "    stn      (time, lat, lon) float64 nan nan nan nan nan ... 8.0 8.0 8.0 8.0\n",
       "Attributes:\n",
       "    Conventions:  CF-1.4\n",
       "    title:        CRU TS4.06 Precipitation\n",
       "    institution:  Data held at British Atmospheric Data Centre, RAL, UK.\n",
       "    source:       Run ID = 2205201912. Data generated from:pre.2204291209.dtb\n",
       "    history:      Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegrid...\n",
       "    references:   Information on the data is available at http://badc.nerc.ac...\n",
       "    comment:      Access to these data is available to any registered CEDA user.\n",
       "    contact:      support@ceda.ac.uk</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-8c9ee433-145e-4af6-b1f4-68314404b94f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8c9ee433-145e-4af6-b1f4-68314404b94f' 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>: 128</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-817a5a03-be8c-4c41-b327-c95d2b696f59' class='xr-section-summary-in' type='checkbox'  checked><label for='section-817a5a03-be8c-4c41-b327-c95d2b696f59' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-16 ... 2012-09-16</div><input id='attrs-ac46c016-529c-4f31-9282-93716372f562' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac46c016-529c-4f31-9282-93716372f562' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b167a191-9871-4d1f-af6f-52c1574ba84b' class='xr-var-data-in' type='checkbox'><label for='data-b167a191-9871-4d1f-af6f-52c1574ba84b' title='Show/Hide data 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>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-16T00:00:00.000000000&#x27;, &#x27;1981-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-16T00:00:00.000000000&#x27;, &#x27;1981-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-16T00:00:00.000000000&#x27;, &#x27;1982-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-16T00:00:00.000000000&#x27;, &#x27;1982-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-16T00:00:00.000000000&#x27;, &#x27;1983-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-16T00:00:00.000000000&#x27;, &#x27;1983-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-16T00:00:00.000000000&#x27;, &#x27;1984-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-16T00:00:00.000000000&#x27;, &#x27;1984-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-16T00:00:00.000000000&#x27;, &#x27;1985-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-16T00:00:00.000000000&#x27;, &#x27;1985-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-16T00:00:00.000000000&#x27;, &#x27;1986-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-16T00:00:00.000000000&#x27;, &#x27;1986-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-16T00:00:00.000000000&#x27;, &#x27;1987-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-16T00:00:00.000000000&#x27;, &#x27;1987-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-16T00:00:00.000000000&#x27;, &#x27;1988-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-16T00:00:00.000000000&#x27;, &#x27;1988-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-16T00:00:00.000000000&#x27;, &#x27;1989-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-16T00:00:00.000000000&#x27;, &#x27;1989-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-16T00:00:00.000000000&#x27;, &#x27;1990-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-16T00:00:00.000000000&#x27;, &#x27;1990-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-16T00:00:00.000000000&#x27;, &#x27;1991-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-16T00:00:00.000000000&#x27;, &#x27;1991-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-16T00:00:00.000000000&#x27;, &#x27;1992-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-16T00:00:00.000000000&#x27;, &#x27;1992-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-16T00:00:00.000000000&#x27;, &#x27;1993-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-16T00:00:00.000000000&#x27;, &#x27;1993-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-16T00:00:00.000000000&#x27;, &#x27;1994-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-16T00:00:00.000000000&#x27;, &#x27;1994-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-16T00:00:00.000000000&#x27;, &#x27;1995-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-16T00:00:00.000000000&#x27;, &#x27;1995-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-16T00:00:00.000000000&#x27;, &#x27;1996-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-16T00:00:00.000000000&#x27;, &#x27;1996-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-16T00:00:00.000000000&#x27;, &#x27;1997-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-16T00:00:00.000000000&#x27;, &#x27;1997-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T00:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T00:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T00:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T00:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T00:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T00:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T00:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T00:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-16T00:00:00.000000000&#x27;, &#x27;2006-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-16T00:00:00.000000000&#x27;, &#x27;2006-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-16T00:00:00.000000000&#x27;, &#x27;2007-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-16T00:00:00.000000000&#x27;, &#x27;2007-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-16T00:00:00.000000000&#x27;, &#x27;2008-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-16T00:00:00.000000000&#x27;, &#x27;2008-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-16T00:00:00.000000000&#x27;, &#x27;2009-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-16T00:00:00.000000000&#x27;, &#x27;2009-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-16T00:00:00.000000000&#x27;, &#x27;2010-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-16T00:00:00.000000000&#x27;, &#x27;2010-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-06-16T00:00:00.000000000&#x27;, &#x27;2011-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-16T00:00:00.000000000&#x27;, &#x27;2011-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-06-16T00:00:00.000000000&#x27;, &#x27;2012-07-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-08-16T00:00:00.000000000&#x27;, &#x27;2012-09-16T00:00:00.000000000&#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-16c320a3-be44-488a-b264-0e92bb9dd0f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16c320a3-be44-488a-b264-0e92bb9dd0f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fe126af-f6b8-4e6a-8975-a232244619a2' class='xr-var-data-in' type='checkbox'><label for='data-5fe126af-f6b8-4e6a-8975-a232244619a2' title='Show/Hide data 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>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</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-c970071d-674a-4e6f-8b2f-4b91a0652a1e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c970071d-674a-4e6f-8b2f-4b91a0652a1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04bd17e2-54c7-42fa-9ff5-3f7fdddfd2d3' class='xr-var-data-in' type='checkbox'><label for='data-04bd17e2-54c7-42fa-9ff5-3f7fdddfd2d3' title='Show/Hide data 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>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</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-14c6797b-76aa-47d8-b919-286e0890c373' class='xr-section-summary-in' type='checkbox'  checked><label for='section-14c6797b-76aa-47d8-b919-286e0890c373' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>pre</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'>nan nan nan ... 187.2 218.3 252.9</div><input id='attrs-efe47a08-1de2-4ac6-a7df-202d99963457' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efe47a08-1de2-4ac6-a7df-202d99963457' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39eae853-d5e3-407b-8b4a-43d6aba86eed' class='xr-var-data-in' type='checkbox'><label for='data-39eae853-d5e3-407b-8b4a-43d6aba86eed' title='Show/Hide data 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>precipitation</dd><dt><span>units :</span></dt><dd>mm/month</dd><dt><span>correlation_decay_distance :</span></dt><dd>450.0</dd></dl></div><div class='xr-var-data'><pre>array([[[         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        ...,\n",
       "        [186.09999943, 192.2249999 , 211.72500277, ..., 216.03125286,\n",
       "         256.09375095, 299.78750229],\n",
       "        [166.50000286, 148.32500124, 138.92500067, ..., 192.64375401,\n",
       "         225.13125134, 262.81250381],\n",
       "        [122.48750365,  99.36875165,  81.30624998, ..., 164.90625381,\n",
       "         193.16875076, 225.40000343]],\n",
       "\n",
       "       [[         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "...\n",
       "        [319.27499962, 298.9562521 , 299.41875935, ..., 197.01249981,\n",
       "         235.28749943, 277.47500324],\n",
       "        [316.42500496, 264.36875629, 220.35625362, ..., 176.53749943,\n",
       "         208.36249828, 245.02500057],\n",
       "        [249.05625582, 198.03750634, 148.56250072, ..., 154.42500019,\n",
       "         181.87499905, 213.1875    ]],\n",
       "\n",
       "       [[         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        [         nan,          nan,          nan, ...,          nan,\n",
       "                  nan,          nan],\n",
       "        ...,\n",
       "        [396.38750458, 369.42500114, 368.42499733, ..., 241.1625061 ,\n",
       "         279.88751221, 321.43751144],\n",
       "        [361.86251068, 298.82500648, 242.92500114, ..., 216.63750458,\n",
       "         250.31250763, 288.61250687],\n",
       "        [269.88126016, 206.96250677, 143.18750238, ..., 187.23125362,\n",
       "         218.34375477, 252.90625381]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stn</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'>nan nan nan nan ... 8.0 8.0 8.0 8.0</div><input id='attrs-5f2c102b-a7f4-4526-a84b-728cf7432a55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f2c102b-a7f4-4526-a84b-728cf7432a55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff23560b-4031-45da-bdac-6d6154318825' class='xr-var-data-in' type='checkbox'><label for='data-ff23560b-4031-45da-bdac-6d6154318825' title='Show/Hide data 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>description :</span></dt><dd>number of stations contributing to each datum</dd></dl></div><div class='xr-var-data'><pre>array([[[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        ...,\n",
       "        [8.    , 8.    , 8.    , ..., 8.    , 8.    , 8.    ],\n",
       "        [8.    , 8.    , 8.    , ..., 8.    , 8.    , 8.    ],\n",
       "        [8.    , 8.    , 8.    , ..., 8.    , 8.    , 8.    ]],\n",
       "\n",
       "       [[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        ...,\n",
       "        [8.    , 8.    , 8.    , ..., 8.    , 8.    , 8.    ],\n",
       "        [8.    , 8.    , 8.    , ..., 8.    , 8.    , 8.    ],\n",
       "        [8.    , 8.    , 8.    , ..., 8.    , 8.    , 8.    ]],\n",
       "\n",
       "       [[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        ...,\n",
       "...\n",
       "        ...,\n",
       "        [7.125 , 7.1875, 7.5625, ..., 8.    , 8.    , 8.    ],\n",
       "        [6.875 , 7.0625, 7.1875, ..., 8.    , 8.    , 8.    ],\n",
       "        [6.5625, 6.75  , 6.75  , ..., 8.    , 8.    , 8.    ]],\n",
       "\n",
       "       [[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        ...,\n",
       "        [5.1875, 5.1875, 5.5625, ..., 7.25  , 7.25  , 7.25  ],\n",
       "        [5.0625, 5.0625, 5.1875, ..., 7.75  , 7.75  , 7.75  ],\n",
       "        [5.    , 5.    , 5.    , ..., 8.    , 8.    , 8.    ]],\n",
       "\n",
       "       [[   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        [   nan,    nan,    nan, ...,    nan,    nan,    nan],\n",
       "        ...,\n",
       "        [7.125 , 7.1875, 7.5625, ..., 8.    , 8.    , 8.    ],\n",
       "        [6.875 , 7.0625, 7.1875, ..., 8.    , 8.    , 8.    ],\n",
       "        [6.5625, 6.75  , 6.75  , ..., 8.    , 8.    , 8.    ]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-74d90338-5e2b-430c-8f12-5f59f17ad304' class='xr-section-summary-in' type='checkbox'  checked><label for='section-74d90338-5e2b-430c-8f12-5f59f17ad304' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.4</dd><dt><span>title :</span></dt><dd>CRU TS4.06 Precipitation</dd><dt><span>institution :</span></dt><dd>Data held at British Atmospheric Data Centre, RAL, UK.</dd><dt><span>source :</span></dt><dd>Run ID = 2205201912. Data generated from:pre.2204291209.dtb</dd><dt><span>history :</span></dt><dd>Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegridsauto.for called by update.for</dd><dt><span>references :</span></dt><dd>Information on the data is available at http://badc.nerc.ac.uk/data/cru/</dd><dt><span>comment :</span></dt><dd>Access to these data is available to any registered CEDA user.</dd><dt><span>contact :</span></dt><dd>support@ceda.ac.uk</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (time: 128, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 1981-06-16 1981-07-16 ... 2012-09-16\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",
       "Data variables:\n",
       "    pre      (time, lat, lon) float64 nan nan nan nan ... 187.2 218.3 252.9\n",
       "    stn      (time, lat, lon) float64 nan nan nan nan nan ... 8.0 8.0 8.0 8.0\n",
       "Attributes:\n",
       "    Conventions:  CF-1.4\n",
       "    title:        CRU TS4.06 Precipitation\n",
       "    institution:  Data held at British Atmospheric Data Centre, RAL, UK.\n",
       "    source:       Run ID = 2205201912. Data generated from:pre.2204291209.dtb\n",
       "    history:      Fri 20 May 21:52:05 BST 2022 : User f098 : Program makegrid...\n",
       "    references:   Information on the data is available at http://badc.nerc.ac...\n",
       "    comment:      Access to these data is available to any registered CEDA user.\n",
       "    contact:      support@ceda.ac.uk"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#interpolating to low resolution \n",
    "new_lon=np.arange(86.125,94,0.25)\n",
    "new_lat=np.arange(18.125,28,0.25)\n",
    "jjas_data = jjas_data.interp(lon=new_lon,lat=new_lat)\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "735515f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.latitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fd310367",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in data.longitude.values:\n",
    " #   print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2a9644bb",
   "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": 9,
   "id": "82d6b5d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pre&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [326.23770137, 311.23765231, 316.29653933, ..., 254.90923264,\n",
       "        296.73003357, 341.38228028],\n",
       "       [314.00566973, 263.97036594, 219.90874439, ..., 226.29995503,\n",
       "        260.70688936, 299.55737827],\n",
       "       [240.95601011, 189.56196604, 137.75542246, ..., 194.66401719,\n",
       "        224.66079543, 258.02124517]])\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'>'pre'</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-10a46c02-cc6a-4d54-94ad-1e941c5ed059' class='xr-array-in' type='checkbox' checked><label for='section-10a46c02-cc6a-4d54-94ad-1e941c5ed059' 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>nan nan nan nan nan nan nan ... 115.6 138.0 165.8 194.7 224.7 258.0</span></div><div class='xr-array-data'><pre>array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [326.23770137, 311.23765231, 316.29653933, ..., 254.90923264,\n",
       "        296.73003357, 341.38228028],\n",
       "       [314.00566973, 263.97036594, 219.90874439, ..., 226.29995503,\n",
       "        260.70688936, 299.55737827],\n",
       "       [240.95601011, 189.56196604, 137.75542246, ..., 194.66401719,\n",
       "        224.66079543, 258.02124517]])</pre></div></div></li><li class='xr-section-item'><input id='section-3af252fe-19d9-4f66-9364-2e70952fedc4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3af252fe-19d9-4f66-9364-2e70952fedc4' 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-7845a309-2c15-4d41-b73a-e4775fff47e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7845a309-2c15-4d41-b73a-e4775fff47e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d9f8bb4-4dd0-4888-a168-45dd21844e42' class='xr-var-data-in' type='checkbox'><label for='data-2d9f8bb4-4dd0-4888-a168-45dd21844e42' title='Show/Hide data 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>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</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-3a991f18-305a-4a51-a814-3ba046fb3ba4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a991f18-305a-4a51-a814-3ba046fb3ba4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ff0a0f4-c87c-42be-b3c5-a3f8a21c6209' class='xr-var-data-in' type='checkbox'><label for='data-0ff0a0f4-c87c-42be-b3c5-a3f8a21c6209' title='Show/Hide data 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>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</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-05e354f6-9104-4c53-ac94-d8398afe8736' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-05e354f6-9104-4c53-ac94-d8398afe8736' 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 'pre' (lat: 40, lon: 32)>\n",
       "array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [326.23770137, 311.23765231, 316.29653933, ..., 254.90923264,\n",
       "        296.73003357, 341.38228028],\n",
       "       [314.00566973, 263.97036594, 219.90874439, ..., 226.29995503,\n",
       "        260.70688936, 299.55737827],\n",
       "       [240.95601011, 189.56196604, 137.75542246, ..., 194.66401719,\n",
       "        224.66079543, 258.02124517]])\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 86.12 86.38 86.62 86.88 ... 93.12 93.38 93.62 93.88\n",
       "  * lat      (lat) float64 18.12 18.38 18.62 18.88 ... 27.12 27.38 27.62 27.88"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting the mean for JJAS data\n",
    "jjas_mean = jjas_data.pre.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",
    "\n",
    "pr_mm = jjas_mean/30.4167\n",
    " \n",
    "\n",
    "\n",
    "cru = pr_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b6d9b2b3",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 1956, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) object 1850-01-16 12:00:00 ... 2012-12-16 12:00:00\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1850-01-01 00:00:00 ... 2013-01-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6</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-884f16b1-d785-4694-b88b-55027641b55b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-884f16b1-d785-4694-b88b-55027641b55b' 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>: 1956</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 128</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-886bd7cc-9748-4b41-ac24-58a10ded56b9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-886bd7cc-9748-4b41-ac24-58a10ded56b9' 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 ... 2012-12-...</div><input id='attrs-731f6194-54ab-43de-a896-f307d9bd33f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-731f6194-54ab-43de-a896-f307d9bd33f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f91de879-4374-4927-868f-168cdc145a41' class='xr-var-data-in' type='checkbox'><label for='data-f91de879-4374-4927-868f-168cdc145a41' title='Show/Hide data 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(2012, 10, 16, 12, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2012, 11, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeNoLeap(2012, 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'>-88.93 -87.54 ... 87.54 88.93</div><input id='attrs-8ce4a800-fa83-4ad7-ac29-bcdd4a294198' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ce4a800-fa83-4ad7-ac29-bcdd4a294198' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-075230a6-2e2a-450b-87e8-534882ad2ae1' class='xr-var-data-in' type='checkbox'><label for='data-075230a6-2e2a-450b-87e8-534882ad2ae1' title='Show/Hide data 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([-88.927735, -87.538705, -86.141472, -84.742386, -83.342596, -81.942466,\n",
       "       -80.542146, -79.14171 , -77.741196, -76.340629, -74.940023, -73.539389,\n",
       "       -72.138732, -70.738059, -69.337372, -67.936673, -66.535966, -65.135251,\n",
       "       -63.73453 , -62.333803, -60.933072, -59.532337, -58.131598, -56.730857,\n",
       "       -55.330112, -53.929366, -52.528617, -51.127867, -49.727115, -48.326361,\n",
       "       -46.925606, -45.52485 , -44.124093, -42.723335, -41.322576, -39.921816,\n",
       "       -38.521056, -37.120294, -35.719532, -34.31877 , -32.918007, -31.517244,\n",
       "       -30.11648 , -28.715716, -27.314951, -25.914186, -24.513421, -23.112655,\n",
       "       -21.71189 , -20.311124, -18.910357, -17.509591, -16.108824, -14.708057,\n",
       "       -13.30729 , -11.906523, -10.505756,  -9.104989,  -7.704221,  -6.303454,\n",
       "        -4.902687,  -3.501919,  -2.101151,  -0.700384,   0.700384,   2.101151,\n",
       "         3.501919,   4.902687,   6.303454,   7.704221,   9.104989,  10.505756,\n",
       "        11.906523,  13.30729 ,  14.708057,  16.108824,  17.509591,  18.910357,\n",
       "        20.311124,  21.71189 ,  23.112655,  24.513421,  25.914186,  27.314951,\n",
       "        28.715716,  30.11648 ,  31.517244,  32.918007,  34.31877 ,  35.719532,\n",
       "        37.120294,  38.521056,  39.921816,  41.322576,  42.723335,  44.124093,\n",
       "        45.52485 ,  46.925606,  48.326361,  49.727115,  51.127867,  52.528617,\n",
       "        53.929366,  55.330112,  56.730857,  58.131598,  59.532337,  60.933072,\n",
       "        62.333803,  63.73453 ,  65.135251,  66.535966,  67.936673,  69.337372,\n",
       "        70.738059,  72.138732,  73.539389,  74.940023,  76.340629,  77.741196,\n",
       "        79.14171 ,  80.542146,  81.942466,  83.342596,  84.742386,  86.141472,\n",
       "        87.538705,  88.927735])</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 1.406 2.812 ... 357.2 358.6</div><input id='attrs-2a4e185b-45b2-4f9f-ac32-a1ce64510740' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a4e185b-45b2-4f9f-ac32-a1ce64510740' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86047f5a-1e8d-4cb5-a960-64fee9e9829d' class='xr-var-data-in' type='checkbox'><label for='data-86047f5a-1e8d-4cb5-a960-64fee9e9829d' title='Show/Hide data 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.     ,   1.40625,   2.8125 , ..., 355.78125, 357.1875 , 358.59375])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cc7494ee-ebfb-4d3e-9a97-fe46fddcad42' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cc7494ee-ebfb-4d3e-9a97-fe46fddcad42' 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-dc264f96-8bba-4b9c-81d9-4958df3a7e9e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dc264f96-8bba-4b9c-81d9-4958df3a7e9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-589b26a9-d1d9-4aba-a040-7918cd4ae64e' class='xr-var-data-in' type='checkbox'><label for='data-589b26a9-d1d9-4aba-a040-7918cd4ae64e' title='Show/Hide data 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(2012, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2013, 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-c7b04d48-02c1-4151-bf3e-2bb8c3aca360' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c7b04d48-02c1-4151-bf3e-2bb8c3aca360' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44b37724-ece3-424e-bd79-b6322989e59c' class='xr-var-data-in' type='checkbox'><label for='data-44b37724-ece3-424e-bd79-b6322989e59c' title='Show/Hide data 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.      , -88.282245],\n",
       "       [-88.282245, -86.866422],\n",
       "       [-86.866422, -85.459991],\n",
       "       ...,\n",
       "       [ 85.459991,  86.866422],\n",
       "       [ 86.866422,  88.282245],\n",
       "       [ 88.282245,  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-fe4d64ae-17d6-45da-b9fb-e86e37d84b02' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fe4d64ae-17d6-45da-b9fb-e86e37d84b02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3f74319-bf78-4729-a312-22634af9d6af' class='xr-var-data-in' type='checkbox'><label for='data-a3f74319-bf78-4729-a312-22634af9d6af' title='Show/Hide data 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([[ -0.703125,   0.703125],\n",
       "       [  0.703125,   2.109375],\n",
       "       [  2.109375,   3.515625],\n",
       "       ...,\n",
       "       [355.078125, 356.484375],\n",
       "       [356.484375, 357.890625],\n",
       "       [357.890625, 359.296875]])</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-fb52feb2-bfb7-48df-ba18-ee264280f950' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb52feb2-bfb7-48df-ba18-ee264280f950' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb6fd86e-5645-4ed9-8228-085c9031217a' class='xr-var-data-in' type='checkbox'><label for='data-eb6fd86e-5645-4ed9-8228-085c9031217a' title='Show/Hide data 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>PRCP</dd><dt><span>original_units :</span></dt><dd>kg/m**2/s</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z altered by CMOR: Converted units from &#x27;kg/m**2/s&#x27; to &#x27;kg m-2 s-1&#x27;. 2011-04-23T09:11:46Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-04-23T09:11:46Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC5_historical_r0i0p0.nc areacella: areacella_fx_MIROC5_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[64094208 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ca3adad4-68da-473b-94ee-60ae76567b03' class='xr-section-summary-in' type='checkbox'  ><label for='section-ca3adad4-68da-473b-94ee-60ae76567b03' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)</dd><dt><span>institute_id :</span></dt><dd>MIROC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); ocean: COCO (COCO4.5, 256x224 L50); sea ice: COCO (COCO4.5); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T85L40)</dd><dt><span>model_id :</span></dt><dd>MIROC5</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2; LU excludes change in lake fraction)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>150015.0</dd><dt><span>contact :</span></dt><dd>Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seita Emori (emori@nies.go.jp), Masayoshi Ishii (ism@jamstec.go.jp), Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp)</dd><dt><span>references :</span></dt><dd>Watanabe et al., 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>a906be44-c850-4f0c-b8c4-2b165051669a</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-04-23T09:11:46Z</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z 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 (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>MIROC5 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.6</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 1956, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) object 1850-01-16 12:00:00 ... 2012-12-16 12:00:00\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\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: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#opening miroc5 data\n",
    "\n",
    "data = xr.open_dataset('/home/mkibria/Academic/pr_of_thesis/GCM/MIROC5/pr_Amon_MIROC5_historical_r1i1p1_185001-201212.nc')\n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f6e94198",
   "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_27631/1463838701.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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       "  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: 1956, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1850-01-16T12:00:00 ... 2012-12-16T12:00:00\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1850-01-01 00:00:00 ... 2013-01-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6</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-2e3dadce-fae2-46ca-8c91-636d2477461a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2e3dadce-fae2-46ca-8c91-636d2477461a' 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>: 1956</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 128</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4efff788-a222-47f1-8715-6273b55d000c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4efff788-a222-47f1-8715-6273b55d000c' 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 ... 2012-12-...</div><input id='attrs-929e889f-84c3-490f-b0c8-24109f4472b6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-929e889f-84c3-490f-b0c8-24109f4472b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0086f2b7-69e8-4192-805d-579a23f82673' class='xr-var-data-in' type='checkbox'><label for='data-0086f2b7-69e8-4192-805d-579a23f82673' title='Show/Hide data 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;2012-10-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2012-11-16T00:00:00.000000000&#x27;, &#x27;2012-12-16T12:00:00.000000000&#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'>-88.93 -87.54 ... 87.54 88.93</div><input id='attrs-e71b54e8-c014-4c66-b371-b15c52c69ccb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e71b54e8-c014-4c66-b371-b15c52c69ccb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0fbc5e5-459d-4137-869a-83194c4ce29b' class='xr-var-data-in' type='checkbox'><label for='data-d0fbc5e5-459d-4137-869a-83194c4ce29b' title='Show/Hide data 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([-88.927735, -87.538705, -86.141472, -84.742386, -83.342596, -81.942466,\n",
       "       -80.542146, -79.14171 , -77.741196, -76.340629, -74.940023, -73.539389,\n",
       "       -72.138732, -70.738059, -69.337372, -67.936673, -66.535966, -65.135251,\n",
       "       -63.73453 , -62.333803, -60.933072, -59.532337, -58.131598, -56.730857,\n",
       "       -55.330112, -53.929366, -52.528617, -51.127867, -49.727115, -48.326361,\n",
       "       -46.925606, -45.52485 , -44.124093, -42.723335, -41.322576, -39.921816,\n",
       "       -38.521056, -37.120294, -35.719532, -34.31877 , -32.918007, -31.517244,\n",
       "       -30.11648 , -28.715716, -27.314951, -25.914186, -24.513421, -23.112655,\n",
       "       -21.71189 , -20.311124, -18.910357, -17.509591, -16.108824, -14.708057,\n",
       "       -13.30729 , -11.906523, -10.505756,  -9.104989,  -7.704221,  -6.303454,\n",
       "        -4.902687,  -3.501919,  -2.101151,  -0.700384,   0.700384,   2.101151,\n",
       "         3.501919,   4.902687,   6.303454,   7.704221,   9.104989,  10.505756,\n",
       "        11.906523,  13.30729 ,  14.708057,  16.108824,  17.509591,  18.910357,\n",
       "        20.311124,  21.71189 ,  23.112655,  24.513421,  25.914186,  27.314951,\n",
       "        28.715716,  30.11648 ,  31.517244,  32.918007,  34.31877 ,  35.719532,\n",
       "        37.120294,  38.521056,  39.921816,  41.322576,  42.723335,  44.124093,\n",
       "        45.52485 ,  46.925606,  48.326361,  49.727115,  51.127867,  52.528617,\n",
       "        53.929366,  55.330112,  56.730857,  58.131598,  59.532337,  60.933072,\n",
       "        62.333803,  63.73453 ,  65.135251,  66.535966,  67.936673,  69.337372,\n",
       "        70.738059,  72.138732,  73.539389,  74.940023,  76.340629,  77.741196,\n",
       "        79.14171 ,  80.542146,  81.942466,  83.342596,  84.742386,  86.141472,\n",
       "        87.538705,  88.927735])</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 1.406 2.812 ... 357.2 358.6</div><input id='attrs-86e6d866-bf5e-4d02-aa05-8fd944359b91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86e6d866-bf5e-4d02-aa05-8fd944359b91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e0dad0d-cb91-4707-bdd0-44f5a48cb529' class='xr-var-data-in' type='checkbox'><label for='data-2e0dad0d-cb91-4707-bdd0-44f5a48cb529' title='Show/Hide data 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.     ,   1.40625,   2.8125 , ..., 355.78125, 357.1875 , 358.59375])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-71ba8baa-5996-4d01-8f19-8b9ebaba8b1f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-71ba8baa-5996-4d01-8f19-8b9ebaba8b1f' 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 ... 2013-01-...</div><input id='attrs-e1d5d977-af14-4849-96b3-c0d0ca2da1ea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e1d5d977-af14-4849-96b3-c0d0ca2da1ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-633c3ffe-3848-4ab4-bcb9-c528731e3800' class='xr-var-data-in' type='checkbox'><label for='data-633c3ffe-3848-4ab4-bcb9-c528731e3800' title='Show/Hide data 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(2012, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 12, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 12, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2013, 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 -88.28 -88.28 ... 88.28 90.0</div><input id='attrs-befbb9b5-2347-4977-89b3-89452b90c280' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-befbb9b5-2347-4977-89b3-89452b90c280' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ceac1198-1d55-4fda-b35e-5445ac68b793' class='xr-var-data-in' type='checkbox'><label for='data-ceac1198-1d55-4fda-b35e-5445ac68b793' title='Show/Hide data 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.      , -88.282245],\n",
       "       [-88.282245, -86.866422],\n",
       "       [-86.866422, -85.459991],\n",
       "       ...,\n",
       "       [ 85.459991,  86.866422],\n",
       "       [ 86.866422,  88.282245],\n",
       "       [ 88.282245,  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'>-0.7031 0.7031 ... 357.9 359.3</div><input id='attrs-d8630f38-d193-4c19-ad0f-7a70aac81265' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d8630f38-d193-4c19-ad0f-7a70aac81265' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3b4462b-ce4d-4cc2-8d76-8f1bd25c072b' class='xr-var-data-in' type='checkbox'><label for='data-a3b4462b-ce4d-4cc2-8d76-8f1bd25c072b' title='Show/Hide data 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([[ -0.703125,   0.703125],\n",
       "       [  0.703125,   2.109375],\n",
       "       [  2.109375,   3.515625],\n",
       "       ...,\n",
       "       [355.078125, 356.484375],\n",
       "       [356.484375, 357.890625],\n",
       "       [357.890625, 359.296875]])</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-97d19ae6-1c2d-4e12-930d-9a2013debe4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97d19ae6-1c2d-4e12-930d-9a2013debe4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e8423a7-41e5-410b-a8ec-1cc91d4a30ce' class='xr-var-data-in' type='checkbox'><label for='data-5e8423a7-41e5-410b-a8ec-1cc91d4a30ce' title='Show/Hide data 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>PRCP</dd><dt><span>original_units :</span></dt><dd>kg/m**2/s</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z altered by CMOR: Converted units from &#x27;kg/m**2/s&#x27; to &#x27;kg m-2 s-1&#x27;. 2011-04-23T09:11:46Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-04-23T09:11:46Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC5_historical_r0i0p0.nc areacella: areacella_fx_MIROC5_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[64094208 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-950f72ba-38c9-471a-969c-b03a1b70768d' class='xr-section-summary-in' type='checkbox'  ><label for='section-950f72ba-38c9-471a-969c-b03a1b70768d' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)</dd><dt><span>institute_id :</span></dt><dd>MIROC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); ocean: COCO (COCO4.5, 256x224 L50); sea ice: COCO (COCO4.5); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T85L40)</dd><dt><span>model_id :</span></dt><dd>MIROC5</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2; LU excludes change in lake fraction)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>150015.0</dd><dt><span>contact :</span></dt><dd>Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seita Emori (emori@nies.go.jp), Masayoshi Ishii (ism@jamstec.go.jp), Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp)</dd><dt><span>references :</span></dt><dd>Watanabe et al., 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>a906be44-c850-4f0c-b8c4-2b165051669a</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-04-23T09:11:46Z</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z 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 (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>MIROC5 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.6</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 1956, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1850-01-16T12:00:00 ... 2012-12-16T12:00:00\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1850-01-01 00:00:00 ... 2013-01-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6"
      ]
     },
     "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 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: 383, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 2012-11-16\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1981-01-01 00:00:00 ... 2012-12-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6</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-e4755f53-b3bc-4e97-b570-5c74bece093f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e4755f53-b3bc-4e97-b570-5c74bece093f' 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>: 383</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 128</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-87e0a110-0334-406f-8696-eded5f0d2380' class='xr-section-summary-in' type='checkbox'  checked><label for='section-87e0a110-0334-406f-8696-eded5f0d2380' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-16T12:00:00 ... 2012-11-16</div><input id='attrs-6e497d17-a27d-42db-b6f3-f1364d7590b4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6e497d17-a27d-42db-b6f3-f1364d7590b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75b550e2-91fc-4a86-80be-01b5682c9c6c' class='xr-var-data-in' type='checkbox'><label for='data-75b550e2-91fc-4a86-80be-01b5682c9c6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-16T12:00:00.000000000&#x27;, &#x27;1981-02-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;1981-03-16T12:00:00.000000000&#x27;, ..., &#x27;2012-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-10-16T12:00:00.000000000&#x27;, &#x27;2012-11-16T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span 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'>-88.93 -87.54 ... 87.54 88.93</div><input id='attrs-a88e8a29-6c7e-42bf-9ae4-06d8404a9b5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a88e8a29-6c7e-42bf-9ae4-06d8404a9b5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e31d6de6-b2a5-45bb-8fa8-9b668522a80f' class='xr-var-data-in' type='checkbox'><label for='data-e31d6de6-b2a5-45bb-8fa8-9b668522a80f' title='Show/Hide data 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([-88.927735, -87.538705, -86.141472, -84.742386, -83.342596, -81.942466,\n",
       "       -80.542146, -79.14171 , -77.741196, -76.340629, -74.940023, -73.539389,\n",
       "       -72.138732, -70.738059, -69.337372, -67.936673, -66.535966, -65.135251,\n",
       "       -63.73453 , -62.333803, -60.933072, -59.532337, -58.131598, -56.730857,\n",
       "       -55.330112, -53.929366, -52.528617, -51.127867, -49.727115, -48.326361,\n",
       "       -46.925606, -45.52485 , -44.124093, -42.723335, -41.322576, -39.921816,\n",
       "       -38.521056, -37.120294, -35.719532, -34.31877 , -32.918007, -31.517244,\n",
       "       -30.11648 , -28.715716, -27.314951, -25.914186, -24.513421, -23.112655,\n",
       "       -21.71189 , -20.311124, -18.910357, -17.509591, -16.108824, -14.708057,\n",
       "       -13.30729 , -11.906523, -10.505756,  -9.104989,  -7.704221,  -6.303454,\n",
       "        -4.902687,  -3.501919,  -2.101151,  -0.700384,   0.700384,   2.101151,\n",
       "         3.501919,   4.902687,   6.303454,   7.704221,   9.104989,  10.505756,\n",
       "        11.906523,  13.30729 ,  14.708057,  16.108824,  17.509591,  18.910357,\n",
       "        20.311124,  21.71189 ,  23.112655,  24.513421,  25.914186,  27.314951,\n",
       "        28.715716,  30.11648 ,  31.517244,  32.918007,  34.31877 ,  35.719532,\n",
       "        37.120294,  38.521056,  39.921816,  41.322576,  42.723335,  44.124093,\n",
       "        45.52485 ,  46.925606,  48.326361,  49.727115,  51.127867,  52.528617,\n",
       "        53.929366,  55.330112,  56.730857,  58.131598,  59.532337,  60.933072,\n",
       "        62.333803,  63.73453 ,  65.135251,  66.535966,  67.936673,  69.337372,\n",
       "        70.738059,  72.138732,  73.539389,  74.940023,  76.340629,  77.741196,\n",
       "        79.14171 ,  80.542146,  81.942466,  83.342596,  84.742386,  86.141472,\n",
       "        87.538705,  88.927735])</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 1.406 2.812 ... 357.2 358.6</div><input id='attrs-1d31ff08-daf3-4df1-a2ca-71d62bfce140' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d31ff08-daf3-4df1-a2ca-71d62bfce140' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-793d5ed3-62c2-4b34-a696-fc2b816124aa' class='xr-var-data-in' type='checkbox'><label for='data-793d5ed3-62c2-4b34-a696-fc2b816124aa' title='Show/Hide data 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.     ,   1.40625,   2.8125 , ..., 355.78125, 357.1875 , 358.59375])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-be878a0f-f74f-47c1-b2f0-2324f5c27a2e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-be878a0f-f74f-47c1-b2f0-2324f5c27a2e' 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'>1981-01-01 00:00:00 ... 2012-12-...</div><input id='attrs-7b72c05e-736c-4c41-a725-9a1575dc0211' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7b72c05e-736c-4c41-a725-9a1575dc0211' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14c49051-cf75-4f27-b937-b36ecd21e3e5' class='xr-var-data-in' type='checkbox'><label for='data-14c49051-cf75-4f27-b937-b36ecd21e3e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1981, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 2, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 2, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 3, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 3, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 4, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2012, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 10, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 11, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 11, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 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 -88.28 -88.28 ... 88.28 90.0</div><input id='attrs-c69d8161-176c-4933-b2db-f4c2b52a3742' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c69d8161-176c-4933-b2db-f4c2b52a3742' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16b7b84a-18c1-4f18-a2e0-3df9abea073b' class='xr-var-data-in' type='checkbox'><label for='data-16b7b84a-18c1-4f18-a2e0-3df9abea073b' title='Show/Hide data 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.      , -88.282245],\n",
       "       [-88.282245, -86.866422],\n",
       "       [-86.866422, -85.459991],\n",
       "       ...,\n",
       "       [ 85.459991,  86.866422],\n",
       "       [ 86.866422,  88.282245],\n",
       "       [ 88.282245,  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'>-0.7031 0.7031 ... 357.9 359.3</div><input id='attrs-ff905824-adc0-4135-8fe2-b1e43a4b7808' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ff905824-adc0-4135-8fe2-b1e43a4b7808' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f84a235-3643-4b5a-99ac-b1257a535d84' class='xr-var-data-in' type='checkbox'><label for='data-3f84a235-3643-4b5a-99ac-b1257a535d84' title='Show/Hide data 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([[ -0.703125,   0.703125],\n",
       "       [  0.703125,   2.109375],\n",
       "       [  2.109375,   3.515625],\n",
       "       ...,\n",
       "       [355.078125, 356.484375],\n",
       "       [356.484375, 357.890625],\n",
       "       [357.890625, 359.296875]])</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-4ab874d8-4799-4217-8f34-8ee130fc614c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ab874d8-4799-4217-8f34-8ee130fc614c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af31e13f-3251-454c-8a4b-7e6fc4b12832' class='xr-var-data-in' type='checkbox'><label for='data-af31e13f-3251-454c-8a4b-7e6fc4b12832' title='Show/Hide data 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>PRCP</dd><dt><span>original_units :</span></dt><dd>kg/m**2/s</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z altered by CMOR: Converted units from &#x27;kg/m**2/s&#x27; to &#x27;kg m-2 s-1&#x27;. 2011-04-23T09:11:46Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-04-23T09:11:46Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC5_historical_r0i0p0.nc areacella: areacella_fx_MIROC5_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[12550144 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2a7ec2cc-eec7-43f7-a069-5dc2a8646c0f' class='xr-section-summary-in' type='checkbox'  ><label for='section-2a7ec2cc-eec7-43f7-a069-5dc2a8646c0f' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)</dd><dt><span>institute_id :</span></dt><dd>MIROC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); ocean: COCO (COCO4.5, 256x224 L50); sea ice: COCO (COCO4.5); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T85L40)</dd><dt><span>model_id :</span></dt><dd>MIROC5</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2; LU excludes change in lake fraction)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>150015.0</dd><dt><span>contact :</span></dt><dd>Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seita Emori (emori@nies.go.jp), Masayoshi Ishii (ism@jamstec.go.jp), Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp)</dd><dt><span>references :</span></dt><dd>Watanabe et al., 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>a906be44-c850-4f0c-b8c4-2b165051669a</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-04-23T09:11:46Z</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z 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 (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>MIROC5 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.6</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 383, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-16T12:00:00 ... 2012-11-16\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1981-01-01 00:00:00 ... 2012-12-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to select the year from 1980 to 2015\n",
    "data = data.sel(time=slice('1981-01-16T12:00:00.000000000','2012-12-16T00:00:00.000000000'))\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c811b0f2",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (time: 128, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2012-09-16\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1981-06-01 00:00:00 ... 2012-10-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6</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-920ceb0e-c4f8-4dc2-8c16-97dc3ca6aa95' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-920ceb0e-c4f8-4dc2-8c16-97dc3ca6aa95' 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>: 128</li><li><span>bnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 128</li><li><span class='xr-has-index'>lon</span>: 256</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cf02d775-b1f4-4566-9df5-f84f438dc1af' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cf02d775-b1f4-4566-9df5-f84f438dc1af' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-16 ... 2012-09-16</div><input id='attrs-e93ab27a-7fe6-4e9b-a59c-c09726dcdb6f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e93ab27a-7fe6-4e9b-a59c-c09726dcdb6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70367cdf-67b9-44e1-a136-e39d658a9a77' class='xr-var-data-in' type='checkbox'><label for='data-70367cdf-67b9-44e1-a136-e39d658a9a77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-16T00:00:00.000000000&#x27;, &#x27;1981-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-16T12:00:00.000000000&#x27;, &#x27;1981-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-16T00:00:00.000000000&#x27;, &#x27;1982-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-16T12:00:00.000000000&#x27;, &#x27;1982-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-16T00:00:00.000000000&#x27;, &#x27;1983-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-16T12:00:00.000000000&#x27;, &#x27;1983-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-16T00:00:00.000000000&#x27;, &#x27;1984-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-16T12:00:00.000000000&#x27;, &#x27;1984-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-16T00:00:00.000000000&#x27;, &#x27;1985-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-16T12:00:00.000000000&#x27;, &#x27;1985-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-16T00:00:00.000000000&#x27;, &#x27;1986-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-16T12:00:00.000000000&#x27;, &#x27;1986-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-16T00:00:00.000000000&#x27;, &#x27;1987-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-16T12:00:00.000000000&#x27;, &#x27;1987-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-16T00:00:00.000000000&#x27;, &#x27;1988-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-16T12:00:00.000000000&#x27;, &#x27;1988-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-16T00:00:00.000000000&#x27;, &#x27;1989-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-16T12:00:00.000000000&#x27;, &#x27;1989-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-16T00:00:00.000000000&#x27;, &#x27;1990-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-16T12:00:00.000000000&#x27;, &#x27;1990-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-16T00:00:00.000000000&#x27;, &#x27;1991-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-16T12:00:00.000000000&#x27;, &#x27;1991-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-16T00:00:00.000000000&#x27;, &#x27;1992-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-16T12:00:00.000000000&#x27;, &#x27;1992-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-16T00:00:00.000000000&#x27;, &#x27;1993-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-16T12:00:00.000000000&#x27;, &#x27;1993-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-16T00:00:00.000000000&#x27;, &#x27;1994-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-16T12:00:00.000000000&#x27;, &#x27;1994-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-16T00:00:00.000000000&#x27;, &#x27;1995-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-16T12:00:00.000000000&#x27;, &#x27;1995-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-16T00:00:00.000000000&#x27;, &#x27;1996-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-16T12:00:00.000000000&#x27;, &#x27;1996-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-16T00:00:00.000000000&#x27;, &#x27;1997-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-16T12:00:00.000000000&#x27;, &#x27;1997-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T12:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T12:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T12:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T12:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T12:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T12:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T12:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T12:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-16T00:00:00.000000000&#x27;, &#x27;2006-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-16T12:00:00.000000000&#x27;, &#x27;2006-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-16T00:00:00.000000000&#x27;, &#x27;2007-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-16T12:00:00.000000000&#x27;, &#x27;2007-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-16T00:00:00.000000000&#x27;, &#x27;2008-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-16T12:00:00.000000000&#x27;, &#x27;2008-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-16T00:00:00.000000000&#x27;, &#x27;2009-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-16T12:00:00.000000000&#x27;, &#x27;2009-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-16T00:00:00.000000000&#x27;, &#x27;2010-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-16T12:00:00.000000000&#x27;, &#x27;2010-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-06-16T00:00:00.000000000&#x27;, &#x27;2011-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-16T12:00:00.000000000&#x27;, &#x27;2011-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-06-16T00:00:00.000000000&#x27;, &#x27;2012-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2012-08-16T12:00:00.000000000&#x27;, &#x27;2012-09-16T00:00:00.000000000&#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'>-88.93 -87.54 ... 87.54 88.93</div><input id='attrs-a216e3fc-0f0c-4f5f-aa1c-86a40d6c188d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a216e3fc-0f0c-4f5f-aa1c-86a40d6c188d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d0342cb-8d4c-4be0-8a87-b7e8472feb62' class='xr-var-data-in' type='checkbox'><label for='data-7d0342cb-8d4c-4be0-8a87-b7e8472feb62' title='Show/Hide data 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([-88.927735, -87.538705, -86.141472, -84.742386, -83.342596, -81.942466,\n",
       "       -80.542146, -79.14171 , -77.741196, -76.340629, -74.940023, -73.539389,\n",
       "       -72.138732, -70.738059, -69.337372, -67.936673, -66.535966, -65.135251,\n",
       "       -63.73453 , -62.333803, -60.933072, -59.532337, -58.131598, -56.730857,\n",
       "       -55.330112, -53.929366, -52.528617, -51.127867, -49.727115, -48.326361,\n",
       "       -46.925606, -45.52485 , -44.124093, -42.723335, -41.322576, -39.921816,\n",
       "       -38.521056, -37.120294, -35.719532, -34.31877 , -32.918007, -31.517244,\n",
       "       -30.11648 , -28.715716, -27.314951, -25.914186, -24.513421, -23.112655,\n",
       "       -21.71189 , -20.311124, -18.910357, -17.509591, -16.108824, -14.708057,\n",
       "       -13.30729 , -11.906523, -10.505756,  -9.104989,  -7.704221,  -6.303454,\n",
       "        -4.902687,  -3.501919,  -2.101151,  -0.700384,   0.700384,   2.101151,\n",
       "         3.501919,   4.902687,   6.303454,   7.704221,   9.104989,  10.505756,\n",
       "        11.906523,  13.30729 ,  14.708057,  16.108824,  17.509591,  18.910357,\n",
       "        20.311124,  21.71189 ,  23.112655,  24.513421,  25.914186,  27.314951,\n",
       "        28.715716,  30.11648 ,  31.517244,  32.918007,  34.31877 ,  35.719532,\n",
       "        37.120294,  38.521056,  39.921816,  41.322576,  42.723335,  44.124093,\n",
       "        45.52485 ,  46.925606,  48.326361,  49.727115,  51.127867,  52.528617,\n",
       "        53.929366,  55.330112,  56.730857,  58.131598,  59.532337,  60.933072,\n",
       "        62.333803,  63.73453 ,  65.135251,  66.535966,  67.936673,  69.337372,\n",
       "        70.738059,  72.138732,  73.539389,  74.940023,  76.340629,  77.741196,\n",
       "        79.14171 ,  80.542146,  81.942466,  83.342596,  84.742386,  86.141472,\n",
       "        87.538705,  88.927735])</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 1.406 2.812 ... 357.2 358.6</div><input id='attrs-0a5f025a-f46b-4e91-a186-7d288f7403a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a5f025a-f46b-4e91-a186-7d288f7403a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b44f7794-1dde-4ba6-b188-c7b1b65c9f5e' class='xr-var-data-in' type='checkbox'><label for='data-b44f7794-1dde-4ba6-b188-c7b1b65c9f5e' title='Show/Hide data 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.     ,   1.40625,   2.8125 , ..., 355.78125, 357.1875 , 358.59375])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f688d8eb-9f4a-49c0-a385-dc41b0994ce6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f688d8eb-9f4a-49c0-a385-dc41b0994ce6' 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'>1981-06-01 00:00:00 ... 2012-10-...</div><input id='attrs-c2009bc1-abbc-4ad1-9f09-0fc0b3bbfd32' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c2009bc1-abbc-4ad1-9f09-0fc0b3bbfd32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4909240-0d44-46df-96b0-b2946f9a659a' class='xr-var-data-in' type='checkbox'><label for='data-d4909240-0d44-46df-96b0-b2946f9a659a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1981, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2012, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 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 -88.28 -88.28 ... 88.28 90.0</div><input id='attrs-2267b903-6680-49dc-9cb9-c8e7928913b6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2267b903-6680-49dc-9cb9-c8e7928913b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b8f89d6-4775-4e31-aa7f-8ce8a89b123e' class='xr-var-data-in' type='checkbox'><label for='data-0b8f89d6-4775-4e31-aa7f-8ce8a89b123e' title='Show/Hide data 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.      , -88.282245],\n",
       "       [-88.282245, -86.866422],\n",
       "       [-86.866422, -85.459991],\n",
       "       ...,\n",
       "       [ 85.459991,  86.866422],\n",
       "       [ 86.866422,  88.282245],\n",
       "       [ 88.282245,  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'>-0.7031 0.7031 ... 357.9 359.3</div><input id='attrs-4b761f96-8bfc-4334-92d2-8d19cfe3bffb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4b761f96-8bfc-4334-92d2-8d19cfe3bffb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a39551a2-2161-4b88-8075-977d098cee84' class='xr-var-data-in' type='checkbox'><label for='data-a39551a2-2161-4b88-8075-977d098cee84' title='Show/Hide data 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([[ -0.703125,   0.703125],\n",
       "       [  0.703125,   2.109375],\n",
       "       [  2.109375,   3.515625],\n",
       "       ...,\n",
       "       [355.078125, 356.484375],\n",
       "       [356.484375, 357.890625],\n",
       "       [357.890625, 359.296875]])</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-6c30aa56-6b1b-4822-acf8-cc58476aa08a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c30aa56-6b1b-4822-acf8-cc58476aa08a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f62c8729-64a1-496e-b4d2-3a6df6d27bf0' class='xr-var-data-in' type='checkbox'><label for='data-f62c8729-64a1-496e-b4d2-3a6df6d27bf0' title='Show/Hide data 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>PRCP</dd><dt><span>original_units :</span></dt><dd>kg/m**2/s</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z altered by CMOR: Converted units from &#x27;kg/m**2/s&#x27; to &#x27;kg m-2 s-1&#x27;. 2011-04-23T09:11:46Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-04-23T09:11:46Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC5_historical_r0i0p0.nc areacella: areacella_fx_MIROC5_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>[4194304 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6c457756-4bd9-4ae9-87f6-563c42cc7994' class='xr-section-summary-in' type='checkbox'  ><label for='section-6c457756-4bd9-4ae9-87f6-563c42cc7994' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)</dd><dt><span>institute_id :</span></dt><dd>MIROC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); ocean: COCO (COCO4.5, 256x224 L50); sea ice: COCO (COCO4.5); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T85L40)</dd><dt><span>model_id :</span></dt><dd>MIROC5</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2; LU excludes change in lake fraction)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>150015.0</dd><dt><span>contact :</span></dt><dd>Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seita Emori (emori@nies.go.jp), Masayoshi Ishii (ism@jamstec.go.jp), Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp)</dd><dt><span>references :</span></dt><dd>Watanabe et al., 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>a906be44-c850-4f0c-b8c4-2b165051669a</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-04-23T09:11:46Z</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z 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 (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>MIROC5 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.6</dd></dl></div></li></ul></div></div>"
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       "<xarray.Dataset>\n",
       "Dimensions:    (time: 128, bnds: 2, lat: 128, lon: 256)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2012-09-16\n",
       "  * lat        (lat) float64 -88.93 -87.54 -86.14 -84.74 ... 86.14 87.54 88.93\n",
       "  * lon        (lon) float64 0.0 1.406 2.812 4.219 ... 354.4 355.8 357.2 358.6\n",
       "Dimensions without coordinates: bnds\n",
       "Data variables:\n",
       "    time_bnds  (time, bnds) object 1981-06-01 00:00:00 ... 2012-10-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 -90.0 -88.28 -88.28 ... 88.28 88.28 90.0\n",
       "    lon_bnds   (lon, bnds) float64 -0.7031 0.7031 0.7031 ... 357.9 357.9 359.3\n",
       "    pr         (time, lat, lon) float32 ...\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6"
      ]
     },
     "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": "7b073ded",
   "metadata": {},
   "outputs": [
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       "Dimensions:    (time: 128, bnds: 2, lat: 40, lon: 32)\n",
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       "  * time       (time) datetime64[ns] 1981-06-16 ... 2012-09-16\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 1981-06-01 00:00:00 ... 2012-10-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 17.43 18.83 17.68 19.08 ... 28.33 27.18 28.58\n",
       "    lon_bnds   (lon, bnds) float64 85.42 86.83 85.67 87.08 ... 94.33 93.17 94.58\n",
       "    pr         (time, lat, lon) float64 0.0001728 0.0001694 ... 0.0001003\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6</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-978eec79-529b-455f-a914-e16c1844db22' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-978eec79-529b-455f-a914-e16c1844db22' 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>: 128</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-690736ca-b44c-426d-aed4-c88ecfc44967' class='xr-section-summary-in' type='checkbox'  checked><label for='section-690736ca-b44c-426d-aed4-c88ecfc44967' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-06-16 ... 2012-09-16</div><input id='attrs-a739cb90-9de1-461b-90ea-7940f8e802c3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a739cb90-9de1-461b-90ea-7940f8e802c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2ce9eab-b210-4da4-8fc8-a5b37cf165d1' class='xr-var-data-in' type='checkbox'><label for='data-d2ce9eab-b210-4da4-8fc8-a5b37cf165d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-06-16T00:00:00.000000000&#x27;, &#x27;1981-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1981-08-16T12:00:00.000000000&#x27;, &#x27;1981-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-06-16T00:00:00.000000000&#x27;, &#x27;1982-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1982-08-16T12:00:00.000000000&#x27;, &#x27;1982-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-06-16T00:00:00.000000000&#x27;, &#x27;1983-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1983-08-16T12:00:00.000000000&#x27;, &#x27;1983-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-06-16T00:00:00.000000000&#x27;, &#x27;1984-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1984-08-16T12:00:00.000000000&#x27;, &#x27;1984-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-06-16T00:00:00.000000000&#x27;, &#x27;1985-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1985-08-16T12:00:00.000000000&#x27;, &#x27;1985-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-06-16T00:00:00.000000000&#x27;, &#x27;1986-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1986-08-16T12:00:00.000000000&#x27;, &#x27;1986-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-06-16T00:00:00.000000000&#x27;, &#x27;1987-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1987-08-16T12:00:00.000000000&#x27;, &#x27;1987-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-06-16T00:00:00.000000000&#x27;, &#x27;1988-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1988-08-16T12:00:00.000000000&#x27;, &#x27;1988-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-06-16T00:00:00.000000000&#x27;, &#x27;1989-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1989-08-16T12:00:00.000000000&#x27;, &#x27;1989-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-06-16T00:00:00.000000000&#x27;, &#x27;1990-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1990-08-16T12:00:00.000000000&#x27;, &#x27;1990-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-06-16T00:00:00.000000000&#x27;, &#x27;1991-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1991-08-16T12:00:00.000000000&#x27;, &#x27;1991-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-06-16T00:00:00.000000000&#x27;, &#x27;1992-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1992-08-16T12:00:00.000000000&#x27;, &#x27;1992-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-06-16T00:00:00.000000000&#x27;, &#x27;1993-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1993-08-16T12:00:00.000000000&#x27;, &#x27;1993-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-06-16T00:00:00.000000000&#x27;, &#x27;1994-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1994-08-16T12:00:00.000000000&#x27;, &#x27;1994-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-06-16T00:00:00.000000000&#x27;, &#x27;1995-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1995-08-16T12:00:00.000000000&#x27;, &#x27;1995-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-06-16T00:00:00.000000000&#x27;, &#x27;1996-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1996-08-16T12:00:00.000000000&#x27;, &#x27;1996-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-06-16T00:00:00.000000000&#x27;, &#x27;1997-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1997-08-16T12:00:00.000000000&#x27;, &#x27;1997-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-06-16T00:00:00.000000000&#x27;, &#x27;1998-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1998-08-16T12:00:00.000000000&#x27;, &#x27;1998-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-06-16T00:00:00.000000000&#x27;, &#x27;1999-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;1999-08-16T12:00:00.000000000&#x27;, &#x27;1999-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-16T00:00:00.000000000&#x27;, &#x27;2000-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-16T12:00:00.000000000&#x27;, &#x27;2000-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-06-16T00:00:00.000000000&#x27;, &#x27;2001-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2001-08-16T12:00:00.000000000&#x27;, &#x27;2001-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-06-16T00:00:00.000000000&#x27;, &#x27;2002-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-08-16T12:00:00.000000000&#x27;, &#x27;2002-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-06-16T00:00:00.000000000&#x27;, &#x27;2003-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2003-08-16T12:00:00.000000000&#x27;, &#x27;2003-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-06-16T00:00:00.000000000&#x27;, &#x27;2004-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-08-16T12:00:00.000000000&#x27;, &#x27;2004-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-06-16T00:00:00.000000000&#x27;, &#x27;2005-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2005-08-16T12:00:00.000000000&#x27;, &#x27;2005-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-06-16T00:00:00.000000000&#x27;, &#x27;2006-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-08-16T12:00:00.000000000&#x27;, &#x27;2006-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-06-16T00:00:00.000000000&#x27;, &#x27;2007-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2007-08-16T12:00:00.000000000&#x27;, &#x27;2007-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-06-16T00:00:00.000000000&#x27;, &#x27;2008-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-08-16T12:00:00.000000000&#x27;, &#x27;2008-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-06-16T00:00:00.000000000&#x27;, &#x27;2009-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2009-08-16T12:00:00.000000000&#x27;, &#x27;2009-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-06-16T00:00:00.000000000&#x27;, &#x27;2010-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2010-08-16T12:00:00.000000000&#x27;, &#x27;2010-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-06-16T00:00:00.000000000&#x27;, &#x27;2011-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2011-08-16T12:00:00.000000000&#x27;, &#x27;2011-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-06-16T00:00:00.000000000&#x27;, &#x27;2012-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2012-08-16T12:00:00.000000000&#x27;, &#x27;2012-09-16T00:00:00.000000000&#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-d07ee177-07c9-4e5f-8f8f-e8b81795862d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d07ee177-07c9-4e5f-8f8f-e8b81795862d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc3f67c1-3842-49fb-b59b-d1fffed4fbb5' class='xr-var-data-in' type='checkbox'><label for='data-dc3f67c1-3842-49fb-b59b-d1fffed4fbb5' title='Show/Hide data 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-728d67dd-0287-407c-bde8-078d0e5f8c91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-728d67dd-0287-407c-bde8-078d0e5f8c91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f50df01-b241-4f5b-873d-5e707fceb707' class='xr-var-data-in' type='checkbox'><label for='data-0f50df01-b241-4f5b-873d-5e707fceb707' title='Show/Hide data 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-2566a23d-7752-44e0-8eb8-9bdd608e6f36' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2566a23d-7752-44e0-8eb8-9bdd608e6f36' 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'>1981-06-01 00:00:00 ... 2012-10-...</div><input id='attrs-de58586d-e535-41d4-bf4f-fb1e32b1e17e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de58586d-e535-41d4-bf4f-fb1e32b1e17e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f01d5a8-446f-4362-8e8d-093260f8bb7b' class='xr-var-data-in' type='checkbox'><label for='data-1f01d5a8-446f-4362-8e8d-093260f8bb7b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeNoLeap(1981, 6, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 7, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(1981, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(1981, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       ...,\n",
       "       [cftime.DatetimeNoLeap(2012, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 8, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 8, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 9, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "       [cftime.DatetimeNoLeap(2012, 9, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeNoLeap(2012, 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'>17.43 18.83 17.68 ... 27.18 28.58</div><input id='attrs-b1596ad6-2929-41c9-a520-b95f616c43a8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b1596ad6-2929-41c9-a520-b95f616c43a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98c52042-4a25-4ab8-9ec4-6cde5bf79d48' class='xr-var-data-in' type='checkbox'><label for='data-98c52042-4a25-4ab8-9ec4-6cde5bf79d48' title='Show/Hide data 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([[17.42506467, 18.82586977],\n",
       "       [17.67507154, 19.07587671],\n",
       "       [17.9250784 , 19.32588365],\n",
       "       [18.17508526, 19.57589059],\n",
       "       [18.42509222, 19.82589764],\n",
       "       [18.6750992 , 20.0759047 ],\n",
       "       [18.92510617, 20.32591176],\n",
       "       [19.17511315, 20.57591882],\n",
       "       [19.42512012, 20.82592588],\n",
       "       [19.67512713, 21.07593298],\n",
       "       [19.92513423, 21.32594017],\n",
       "       [20.17514133, 21.57594736],\n",
       "       [20.42514843, 21.82595456],\n",
       "       [20.67515553, 22.07596175],\n",
       "       [20.92516263, 22.32596894],\n",
       "       [21.17516982, 22.57597623],\n",
       "       [21.42517705, 22.82598357],\n",
       "       [21.67518429, 23.07599091],\n",
       "       [21.92519153, 23.32599825],\n",
       "       [22.17519876, 23.57600558],\n",
       "       [22.42520601, 23.82601293],\n",
       "       [22.67521339, 24.07602043],\n",
       "       [22.92522077, 24.32602792],\n",
       "       [23.17522816, 24.57603542],\n",
       "       [23.42523554, 24.82604292],\n",
       "       [23.67524293, 25.07605041],\n",
       "       [23.92525039, 25.32605799],\n",
       "       [24.17525794, 25.57606566],\n",
       "       [24.42526548, 25.82607333],\n",
       "       [24.67527303, 26.076081  ],\n",
       "       [24.92528058, 26.32608867],\n",
       "       [25.17528813, 26.57609634],\n",
       "       [25.42529582, 26.82610416],\n",
       "       [25.67530355, 27.07611202],\n",
       "       [25.92531127, 27.32611988],\n",
       "       [26.175319  , 27.57612774],\n",
       "       [26.42532672, 27.8261356 ],\n",
       "       [26.6753345 , 28.0761435 ],\n",
       "       [26.92534242, 28.32615157],\n",
       "       [27.17535033, 28.57615963]])</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'>85.42 86.83 85.67 ... 93.17 94.58</div><input id='attrs-70c4ab36-a9a6-43f1-a5c5-c573aec20c9a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-70c4ab36-a9a6-43f1-a5c5-c573aec20c9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6392429b-a029-4086-b4cf-586602d76a86' class='xr-var-data-in' type='checkbox'><label for='data-6392429b-a029-4086-b4cf-586602d76a86' title='Show/Hide data 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([[85.421875, 86.828125],\n",
       "       [85.671875, 87.078125],\n",
       "       [85.921875, 87.328125],\n",
       "       [86.171875, 87.578125],\n",
       "       [86.421875, 87.828125],\n",
       "       [86.671875, 88.078125],\n",
       "       [86.921875, 88.328125],\n",
       "       [87.171875, 88.578125],\n",
       "       [87.421875, 88.828125],\n",
       "       [87.671875, 89.078125],\n",
       "       [87.921875, 89.328125],\n",
       "       [88.171875, 89.578125],\n",
       "       [88.421875, 89.828125],\n",
       "       [88.671875, 90.078125],\n",
       "       [88.921875, 90.328125],\n",
       "       [89.171875, 90.578125],\n",
       "       [89.421875, 90.828125],\n",
       "       [89.671875, 91.078125],\n",
       "       [89.921875, 91.328125],\n",
       "       [90.171875, 91.578125],\n",
       "       [90.421875, 91.828125],\n",
       "       [90.671875, 92.078125],\n",
       "       [90.921875, 92.328125],\n",
       "       [91.171875, 92.578125],\n",
       "       [91.421875, 92.828125],\n",
       "       [91.671875, 93.078125],\n",
       "       [91.921875, 93.328125],\n",
       "       [92.171875, 93.578125],\n",
       "       [92.421875, 93.828125],\n",
       "       [92.671875, 94.078125],\n",
       "       [92.921875, 94.328125],\n",
       "       [93.171875, 94.578125]])</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'>0.0001728 0.0001694 ... 0.0001003</div><input id='attrs-c6b00f94-0345-4838-baa8-061e4170daa3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6b00f94-0345-4838-baa8-061e4170daa3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2503304e-56f8-4d40-9ba6-87fbb04d06eb' class='xr-var-data-in' type='checkbox'><label for='data-2503304e-56f8-4d40-9ba6-87fbb04d06eb' title='Show/Hide data 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>PRCP</dd><dt><span>original_units :</span></dt><dd>kg/m**2/s</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z altered by CMOR: Converted units from &#x27;kg/m**2/s&#x27; to &#x27;kg m-2 s-1&#x27;. 2011-04-23T09:11:46Z altered by CMOR: replaced missing value flag (-999) with standard missing value (1e+20). 2011-04-23T09:11:46Z altered by CMOR: Inverted axis: lat.</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>cell_measures :</span></dt><dd>area: areacella</dd><dt><span>associated_files :</span></dt><dd>baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_atmos_fx_MIROC5_historical_r0i0p0.nc areacella: areacella_fx_MIROC5_historical_r0i0p0.nc</dd></dl></div><div class='xr-var-data'><pre>array([[[1.72840155e-04, 1.69447469e-04, 1.66054784e-04, ...,\n",
       "         1.87484037e-04, 1.77985256e-04, 1.68486475e-04],\n",
       "        [1.68500755e-04, 1.65663715e-04, 1.62826676e-04, ...,\n",
       "         1.88071676e-04, 1.76662178e-04, 1.65252681e-04],\n",
       "        [1.64161354e-04, 1.61879961e-04, 1.59598568e-04, ...,\n",
       "         1.88659314e-04, 1.75339101e-04, 1.62018887e-04],\n",
       "        ...,\n",
       "        [3.19051492e-04, 3.27198078e-04, 3.35344664e-04, ...,\n",
       "         2.50348452e-04, 2.65687537e-04, 2.81026622e-04],\n",
       "        [2.76288574e-04, 2.82823138e-04, 2.89357702e-04, ...,\n",
       "         2.56839621e-04, 2.75497925e-04, 2.94156228e-04],\n",
       "        [2.33525656e-04, 2.38448199e-04, 2.43370741e-04, ...,\n",
       "         2.63330791e-04, 2.85308313e-04, 3.07285834e-04]],\n",
       "\n",
       "       [[2.02768299e-04, 1.98268410e-04, 1.93768522e-04, ...,\n",
       "         1.49856147e-04, 1.44106956e-04, 1.38357766e-04],\n",
       "        [2.04346179e-04, 2.01479653e-04, 1.98613127e-04, ...,\n",
       "         1.47701654e-04, 1.39818807e-04, 1.31935961e-04],\n",
       "        [2.05924059e-04, 2.04690896e-04, 2.03457732e-04, ...,\n",
       "         1.45547162e-04, 1.35530659e-04, 1.25514156e-04],\n",
       "...\n",
       "        [2.05077316e-04, 2.09254315e-04, 2.13431314e-04, ...,\n",
       "         1.11298120e-04, 1.12256910e-04, 1.13215700e-04],\n",
       "        [1.99627433e-04, 2.01924906e-04, 2.04222379e-04, ...,\n",
       "         1.08042919e-04, 1.08962483e-04, 1.09882046e-04],\n",
       "        [1.94177551e-04, 1.94595497e-04, 1.95013444e-04, ...,\n",
       "         1.04787718e-04, 1.05668055e-04, 1.06548393e-04]],\n",
       "\n",
       "       [[2.32142389e-04, 2.20720422e-04, 2.09298455e-04, ...,\n",
       "         1.13033220e-04, 1.12587610e-04, 1.12141999e-04],\n",
       "        [2.39701416e-04, 2.27845896e-04, 2.15990375e-04, ...,\n",
       "         1.12536987e-04, 1.11872114e-04, 1.11207241e-04],\n",
       "        [2.47260443e-04, 2.34971369e-04, 2.22682296e-04, ...,\n",
       "         1.12040754e-04, 1.11156618e-04, 1.10272483e-04],\n",
       "        ...,\n",
       "        [1.86753002e-04, 1.91867612e-04, 1.96982221e-04, ...,\n",
       "         9.75102686e-05, 9.43870559e-05, 9.12638431e-05],\n",
       "        [1.68788265e-04, 1.73065767e-04, 1.77343269e-04, ...,\n",
       "         1.01224985e-04, 9.84957246e-05, 9.57664646e-05],\n",
       "        [1.50823527e-04, 1.54263922e-04, 1.57704316e-04, ...,\n",
       "         1.04939700e-04, 1.02604393e-04, 1.00269086e-04]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-670ec87c-911f-4d63-86cc-75ff6680ea20' class='xr-section-summary-in' type='checkbox'  ><label for='section-670ec87c-911f-4d63-86cc-75ff6680ea20' class='xr-section-summary' >Attributes: <span>(27)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>institution :</span></dt><dd>AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan), NIES (National Institute for Environmental Studies, Ibaraki, Japan), JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan)</dd><dt><span>institute_id :</span></dt><dd>MIROC</dd><dt><span>experiment_id :</span></dt><dd>historical</dd><dt><span>source :</span></dt><dd>MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); ocean: COCO (COCO4.5, 256x224 L50); sea ice: COCO (COCO4.5); land: MATSIRO (MATSIRO, L6); aerosols: SPRINTARS (SPRINTARS 5.00, T85L40)</dd><dt><span>model_id :</span></dt><dd>MIROC5</dd><dt><span>forcing :</span></dt><dd>GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG includes CO2, N2O, methane, and fluorocarbons; Oz includes OH and H2O2; LU excludes change in lake fraction)</dd><dt><span>parent_experiment_id :</span></dt><dd>piControl</dd><dt><span>parent_experiment_rip :</span></dt><dd>r1i1p1</dd><dt><span>branch_time :</span></dt><dd>150015.0</dd><dt><span>contact :</span></dt><dd>Masahiro Watanabe (hiro@aori.u-tokyo.ac.jp), Seita Emori (emori@nies.go.jp), Masayoshi Ishii (ism@jamstec.go.jp), Masahide Kimoto (kimoto@aori.u-tokyo.ac.jp)</dd><dt><span>references :</span></dt><dd>Watanabe et al., 2010: Improved climate simulation by MIROC5: Mean states, variability, and climate sensitivity. J. Climate, 23, 6312-6335</dd><dt><span>initialization_method :</span></dt><dd>1</dd><dt><span>physics_version :</span></dt><dd>1</dd><dt><span>tracking_id :</span></dt><dd>a906be44-c850-4f0c-b8c4-2b165051669a</dd><dt><span>product :</span></dt><dd>output</dd><dt><span>experiment :</span></dt><dd>historical</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>creation_date :</span></dt><dd>2011-04-23T09:11:46Z</dd><dt><span>history :</span></dt><dd>2011-04-23T09:11:46Z 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 (31 January 2011) 53b766a395ac41696af40aab76a49ae5</dd><dt><span>title :</span></dt><dd>MIROC5 model output prepared for CMIP5 historical</dd><dt><span>parent_experiment :</span></dt><dd>pre-industrial control</dd><dt><span>modeling_realm :</span></dt><dd>atmos</dd><dt><span>realization :</span></dt><dd>1</dd><dt><span>cmor_version :</span></dt><dd>2.5.6</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (time: 128, bnds: 2, lat: 40, lon: 32)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-06-16 ... 2012-09-16\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 1981-06-01 00:00:00 ... 2012-10-01 00:00:00\n",
       "    lat_bnds   (lat, bnds) float64 17.43 18.83 17.68 19.08 ... 28.33 27.18 28.58\n",
       "    lon_bnds   (lon, bnds) float64 85.42 86.83 85.67 87.08 ... 94.33 93.17 94.58\n",
       "    pr         (time, lat, lon) float64 0.0001728 0.0001694 ... 0.0001003\n",
       "Attributes: (12/27)\n",
       "    institution:            AORI (Atmosphere and Ocean Research Institute, Th...\n",
       "    institute_id:           MIROC\n",
       "    experiment_id:          historical\n",
       "    source:                 MIROC5 2010 atmosphere: MIROC-AGCM6 (T85L40); oce...\n",
       "    model_id:               MIROC5\n",
       "    forcing:                GHG, SA, Oz, LU, Sl, Vl, SS, Ds, BC, MD, OC (GHG ...\n",
       "    ...                     ...\n",
       "    table_id:               Table Amon (31 January 2011) 53b766a395ac41696af4...\n",
       "    title:                  MIROC5 model output prepared for CMIP5 historical\n",
       "    parent_experiment:      pre-industrial control\n",
       "    modeling_realm:         atmos\n",
       "    realization:            1\n",
       "    cmor_version:           2.5.6"
      ]
     },
     "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(18.125,28,0.25)\n",
    "jjas_data = jjas_data.interp(lon=new_lon,lat=new_lat)\n",
    "jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a41e4a60",
   "metadata": {},
   "outputs": [],
   "source": [
    "#to select the x and y coordinates\n",
    "#jjas_data = jjas_data.sel(x=slice(1000000.,5275000.),y=slice(2000000.,4175000.))\n",
    "#jjas_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "18269e45",
   "metadata": {},
   "outputs": [
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       "  vertical-align: top;\n",
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       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-attrs dt:hover span {\n",
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       "\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([[0.00016264, 0.00016229, 0.00016194, ..., 0.00021671, 0.0002134 ,\n",
       "        0.0002101 ],\n",
       "       [0.00016451, 0.00016434, 0.00016416, ..., 0.00022011, 0.00021435,\n",
       "        0.00020858],\n",
       "       [0.00016638, 0.00016638, 0.00016638, ..., 0.00022352, 0.00021529,\n",
       "        0.00020706],\n",
       "       ...,\n",
       "       [0.00025298, 0.00025679, 0.0002606 , ..., 0.00019327, 0.00019714,\n",
       "        0.00020101],\n",
       "       [0.00023061, 0.00023298, 0.00023535, ..., 0.00018676, 0.00019083,\n",
       "        0.00019489],\n",
       "       [0.00020824, 0.00020917, 0.0002101 , ..., 0.00018026, 0.00018452,\n",
       "        0.00018878]])\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-29208e35-5b84-4f67-9d93-6db64f272532' class='xr-array-in' type='checkbox' checked><label for='section-29208e35-5b84-4f67-9d93-6db64f272532' 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>0.0001626 0.0001623 0.0001619 ... 0.0001803 0.0001845 0.0001888</span></div><div class='xr-array-data'><pre>array([[0.00016264, 0.00016229, 0.00016194, ..., 0.00021671, 0.0002134 ,\n",
       "        0.0002101 ],\n",
       "       [0.00016451, 0.00016434, 0.00016416, ..., 0.00022011, 0.00021435,\n",
       "        0.00020858],\n",
       "       [0.00016638, 0.00016638, 0.00016638, ..., 0.00022352, 0.00021529,\n",
       "        0.00020706],\n",
       "       ...,\n",
       "       [0.00025298, 0.00025679, 0.0002606 , ..., 0.00019327, 0.00019714,\n",
       "        0.00020101],\n",
       "       [0.00023061, 0.00023298, 0.00023535, ..., 0.00018676, 0.00019083,\n",
       "        0.00019489],\n",
       "       [0.00020824, 0.00020917, 0.0002101 , ..., 0.00018026, 0.00018452,\n",
       "        0.00018878]])</pre></div></div></li><li class='xr-section-item'><input id='section-5c9939e4-d445-4587-8063-e27137fc48d4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5c9939e4-d445-4587-8063-e27137fc48d4' 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-9fe6ae51-f467-45b5-bc80-50bd97e24610' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fe6ae51-f467-45b5-bc80-50bd97e24610' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a3eb7d0-1566-427e-af29-5873d7b3d31a' class='xr-var-data-in' type='checkbox'><label for='data-6a3eb7d0-1566-427e-af29-5873d7b3d31a' title='Show/Hide data 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-1e6d9ee7-f2e8-4405-8dd7-8b98d5623210' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e6d9ee7-f2e8-4405-8dd7-8b98d5623210' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d45920d2-8733-4849-b72b-1142f44faa52' class='xr-var-data-in' type='checkbox'><label for='data-d45920d2-8733-4849-b72b-1142f44faa52' title='Show/Hide data 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-5021dd01-b930-4635-ab0e-584d03d894a6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5021dd01-b930-4635-ab0e-584d03d894a6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'pr' (lat: 40, lon: 32)>\n",
       "array([[0.00016264, 0.00016229, 0.00016194, ..., 0.00021671, 0.0002134 ,\n",
       "        0.0002101 ],\n",
       "       [0.00016451, 0.00016434, 0.00016416, ..., 0.00022011, 0.00021435,\n",
       "        0.00020858],\n",
       "       [0.00016638, 0.00016638, 0.00016638, ..., 0.00022352, 0.00021529,\n",
       "        0.00020706],\n",
       "       ...,\n",
       "       [0.00025298, 0.00025679, 0.0002606 , ..., 0.00019327, 0.00019714,\n",
       "        0.00020101],\n",
       "       [0.00023061, 0.00023298, 0.00023535, ..., 0.00018676, 0.00019083,\n",
       "        0.00019489],\n",
       "       [0.00020824, 0.00020917, 0.0002101 , ..., 0.00018026, 0.00018452,\n",
       "        0.00018878]])\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": {},
   "outputs": [
    {
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       "}\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",
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       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
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       "\n",
       ".xr-dim-list:before {\n",
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       "\n",
       ".xr-dim-list:after {\n",
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       "\n",
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       "\n",
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       "  display: contents;\n",
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       "\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",
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       "\n",
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       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
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       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
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       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
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       "\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",
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       "  grid-template-columns: 125px auto;\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;pr&#x27; (lat: 40, lon: 32)&gt;\n",
       "array([[14.05231058, 14.02214068, 13.99197078, ..., 18.72333773,\n",
       "        18.43812498, 18.15291223],\n",
       "       [14.213938  , 14.19868497, 14.18343195, ..., 19.01763197,\n",
       "        18.51962245, 18.02161292],\n",
       "       [14.37556542, 14.37522927, 14.37489312, ..., 19.31192621,\n",
       "        18.60111991, 17.89031361],\n",
       "       ...,\n",
       "       [21.85754484, 22.18670283, 22.51586082, ..., 16.69812949,\n",
       "        17.03271097, 17.36729245],\n",
       "       [19.92464352, 20.12943492, 20.33422632, ..., 16.13614971,\n",
       "        16.48747439, 16.83879907],\n",
       "       [17.9917422 , 18.07216701, 18.15259181, ..., 15.57416992,\n",
       "        15.9422378 , 16.31030569]])\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-3b38c0bb-1a49-4c00-b517-5904e777fa71' class='xr-array-in' type='checkbox' checked><label for='section-3b38c0bb-1a49-4c00-b517-5904e777fa71' 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>14.05 14.02 13.99 13.96 13.93 13.86 ... 14.84 15.21 15.57 15.94 16.31</span></div><div class='xr-array-data'><pre>array([[14.05231058, 14.02214068, 13.99197078, ..., 18.72333773,\n",
       "        18.43812498, 18.15291223],\n",
       "       [14.213938  , 14.19868497, 14.18343195, ..., 19.01763197,\n",
       "        18.51962245, 18.02161292],\n",
       "       [14.37556542, 14.37522927, 14.37489312, ..., 19.31192621,\n",
       "        18.60111991, 17.89031361],\n",
       "       ...,\n",
       "       [21.85754484, 22.18670283, 22.51586082, ..., 16.69812949,\n",
       "        17.03271097, 17.36729245],\n",
       "       [19.92464352, 20.12943492, 20.33422632, ..., 16.13614971,\n",
       "        16.48747439, 16.83879907],\n",
       "       [17.9917422 , 18.07216701, 18.15259181, ..., 15.57416992,\n",
       "        15.9422378 , 16.31030569]])</pre></div></div></li><li class='xr-section-item'><input id='section-e1802059-db6b-436b-9ec8-ecc8de9c54a3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e1802059-db6b-436b-9ec8-ecc8de9c54a3' 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-90705cde-1fa2-4093-bce3-1503239f35a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90705cde-1fa2-4093-bce3-1503239f35a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae397499-6965-4e06-a415-2f69de6fda09' class='xr-var-data-in' type='checkbox'><label for='data-ae397499-6965-4e06-a415-2f69de6fda09' title='Show/Hide data 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-55b875fc-1bbd-4b17-a756-c195271efaaa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55b875fc-1bbd-4b17-a756-c195271efaaa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-383a56cb-feb4-4e02-be04-a959b9edb52a' class='xr-var-data-in' type='checkbox'><label for='data-383a56cb-feb4-4e02-be04-a959b9edb52a' title='Show/Hide data 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-9c867910-6ff4-438d-bb7b-c0117ed1dc24' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9c867910-6ff4-438d-bb7b-c0117ed1dc24' 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([[14.05231058, 14.02214068, 13.99197078, ..., 18.72333773,\n",
       "        18.43812498, 18.15291223],\n",
       "       [14.213938  , 14.19868497, 14.18343195, ..., 19.01763197,\n",
       "        18.51962245, 18.02161292],\n",
       "       [14.37556542, 14.37522927, 14.37489312, ..., 19.31192621,\n",
       "        18.60111991, 17.89031361],\n",
       "       ...,\n",
       "       [21.85754484, 22.18670283, 22.51586082, ..., 16.69812949,\n",
       "        17.03271097, 17.36729245],\n",
       "       [19.92464352, 20.12943492, 20.33422632, ..., 16.13614971,\n",
       "        16.48747439, 16.83879907],\n",
       "       [17.9917422 , 18.07216701, 18.15259181, ..., 15.57416992,\n",
       "        15.9422378 , 16.31030569]])\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": [
    "gcmmiroc = jjas_mean*86400\n",
    "gcmmiroc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "6c5c5811",
   "metadata": {},
   "outputs": [
    {
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       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
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       "\n",
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       "  grid-column: 1;\n",
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       "  font-weight: 500;\n",
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       "\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",
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       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
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       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\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",
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       "\n",
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       "\n",
       ".xr-var-list,\n",
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       "  display: contents;\n",
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       "\n",
       ".xr-var-item > div,\n",
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       "  background-color: var(--xr-background-color-row-even);\n",
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       "  padding-right: 5px;\n",
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       "\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",
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       "\n",
       ".xr-var-dtype {\n",
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       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (lat: 40, lon: 32)&gt;\n",
       "array([[        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       ...,\n",
       "       [11.13193354, 11.95424329, 12.11708189, ...,  8.31756117,\n",
       "         7.27721371,  6.14377773],\n",
       "       [ 9.60118076, 11.45096665, 13.10435771, ...,  8.69615934,\n",
       "         7.91629838,  6.99034811],\n",
       "       [10.06990946, 11.83999961, 13.62365138, ...,  9.17426404,\n",
       "         8.55613755,  7.82742473]])\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-dc41ba4c-604b-4d6c-84fd-3173c43e5af9' class='xr-array-in' type='checkbox' checked><label for='section-dc41ba4c-604b-4d6c-84fd-3173c43e5af9' 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>nan nan nan nan nan nan nan ... 10.9 10.3 9.756 9.174 8.556 7.827</span></div><div class='xr-array-data'><pre>array([[        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       ...,\n",
       "       [11.13193354, 11.95424329, 12.11708189, ...,  8.31756117,\n",
       "         7.27721371,  6.14377773],\n",
       "       [ 9.60118076, 11.45096665, 13.10435771, ...,  8.69615934,\n",
       "         7.91629838,  6.99034811],\n",
       "       [10.06990946, 11.83999961, 13.62365138, ...,  9.17426404,\n",
       "         8.55613755,  7.82742473]])</pre></div></div></li><li class='xr-section-item'><input id='section-58398719-e673-48a5-b415-de37e22a2fb4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-58398719-e673-48a5-b415-de37e22a2fb4' 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-3580daf7-d626-4dd1-b523-ac702e0ce816' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3580daf7-d626-4dd1-b523-ac702e0ce816' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0251d74-9aa4-4d44-aafe-8f97126ae98a' class='xr-var-data-in' type='checkbox'><label for='data-e0251d74-9aa4-4d44-aafe-8f97126ae98a' title='Show/Hide data 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-e6aa47f7-02ee-4d87-bbd2-5ce4c2ff450e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6aa47f7-02ee-4d87-bbd2-5ce4c2ff450e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5604fcf-65e4-4e8a-8e35-790c1719dea8' class='xr-var-data-in' type='checkbox'><label for='data-c5604fcf-65e4-4e8a-8e35-790c1719dea8' title='Show/Hide data 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-ee617a99-0dd3-4dd1-bcac-82b69ee3b57d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ee617a99-0dd3-4dd1-bcac-82b69ee3b57d' 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([[        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       [        nan,         nan,         nan, ...,         nan,\n",
       "                nan,         nan],\n",
       "       ...,\n",
       "       [11.13193354, 11.95424329, 12.11708189, ...,  8.31756117,\n",
       "         7.27721371,  6.14377773],\n",
       "       [ 9.60118076, 11.45096665, 13.10435771, ...,  8.69615934,\n",
       "         7.91629838,  6.99034811],\n",
       "       [10.06990946, 11.83999961, 13.62365138, ...,  9.17426404,\n",
       "         8.55613755,  7.82742473]])\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 = gcmmiroc - cru\n",
    "bias"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "445388ed",
   "metadata": {},
   "outputs": [
    {
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       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (lat: 40, lon: 32)&gt;\n",
       "array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [103.78833638, 116.82668504, 116.52408382, ...,  99.24817555,\n",
       "         74.59603047,  54.74022959],\n",
       "       [ 93.00349105, 131.94686305, 181.25305495, ..., 116.88401338,\n",
       "         92.35953581,  70.97916352],\n",
       "       [127.11590584, 189.98205374, 300.81321633, ..., 143.34998372,\n",
       "        115.84106992,  92.27318845]])\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-22236bc8-ec40-4ffc-ae21-995bac7548cc' class='xr-array-in' type='checkbox' checked><label for='section-22236bc8-ec40-4ffc-ae21-995bac7548cc' 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>nan nan nan nan nan nan nan ... 286.7 227.2 179.0 143.3 115.8 92.27</span></div><div class='xr-array-data'><pre>array([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [103.78833638, 116.82668504, 116.52408382, ...,  99.24817555,\n",
       "         74.59603047,  54.74022959],\n",
       "       [ 93.00349105, 131.94686305, 181.25305495, ..., 116.88401338,\n",
       "         92.35953581,  70.97916352],\n",
       "       [127.11590584, 189.98205374, 300.81321633, ..., 143.34998372,\n",
       "        115.84106992,  92.27318845]])</pre></div></div></li><li class='xr-section-item'><input id='section-8ab29d38-4d42-4ae5-94c8-ffa857dbe392' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8ab29d38-4d42-4ae5-94c8-ffa857dbe392' 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-4c182b51-213a-4d53-abf8-862e0614f106' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c182b51-213a-4d53-abf8-862e0614f106' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d662fbee-ef30-42ea-a2a9-9b5e106a8666' class='xr-var-data-in' type='checkbox'><label for='data-d662fbee-ef30-42ea-a2a9-9b5e106a8666' title='Show/Hide data 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-986a05d6-0a04-4a43-8cf7-193bb9823998' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-986a05d6-0a04-4a43-8cf7-193bb9823998' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d0bdc8d-c425-4675-9556-b063b15c6910' class='xr-var-data-in' type='checkbox'><label for='data-3d0bdc8d-c425-4675-9556-b063b15c6910' title='Show/Hide data 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-1ba44839-ad31-4421-bdc8-9e371225f2f2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1ba44839-ad31-4421-bdc8-9e371225f2f2' 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([[         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       [         nan,          nan,          nan, ...,          nan,\n",
       "                 nan,          nan],\n",
       "       ...,\n",
       "       [103.78833638, 116.82668504, 116.52408382, ...,  99.24817555,\n",
       "         74.59603047,  54.74022959],\n",
       "       [ 93.00349105, 131.94686305, 181.25305495, ..., 116.88401338,\n",
       "         92.35953581,  70.97916352],\n",
       "       [127.11590584, 189.98205374, 300.81321633, ..., 143.34998372,\n",
       "        115.84106992,  92.27318845]])\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 = ((gcmmiroc - cru)/cru)*100\n",
    "bias_percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "08ba09cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x684 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting annual_pr_mean\n",
    "\n",
    "#plotting with cartopy\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "plt.rcParams['font.size'] = '16'\n",
    "\n",
    "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",
    "\n",
    "plt.title('Seasonal Bias(GCM MIROC5-CRU)',fontsize=19)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias(gcm miroc5-cru).png\")\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9003db92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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BJEcMrXNLbuCZXm+aWT7XWLzS/ndDfl7vJ54Wp/ZZ/xTIK4QoqP/MSwomfk4x93JCTjkxrbo3sQ9of0+ZkD3HEySl4c1i3u7135ZPAvmFEKZ0/fkhf+B79IVPS42ECkqSFCpJ0nZJkvohjysVQm5egzymBYaiHEMd7f/zJtgXHwWBa0ZuggRtNhOZtf8T++4Kav9v1k8UQmTXO2YUSZKua7tcP9QmfZhQ/mQQ42FY3Qx1ndL+/yCRfNeRRaWq0IuCYWaiQenKj01BIEBf+LSUQ34A6XNR+9/Y51OJuN6ep5FfDEz6PLUPoStA4Xi8amMmvX9hSn169d5CfiHLjzwWGy8meEQvRH7IOWu3zcUOZAep3MAyM4pqDBOQn4vjhWG0lj3Ijiy1hBB1jJaUGaf9vyAmwcyfa0yecsgOaK8SyR5DjD1jU3p+LUY/J0mSgpA/p6JCiMzxlK2m/X/JyLHCyM9GY8cMSPQhIIQYGM+4DOh+HIf10mYhC9o/wkiYGSGH9smu3X2k/V9d/0cohKiC3K0Zu2zt2HVqy8W8IcfcyIu1/6cIIVz08uZBftN4jxxZIbk8QnYfVt7Mtdf0XQrqTBQhRD50UzoOJZI95rNVwqEJIRyRvSkNblAhhI/WtT42Ma1kcz8gFiL/8H4UQsTpIRByCKcScUoZZyNyK2igECLOy4cQIheAJEmRyFM4SiK/edrFyieEEMZelpJCTFeLse6hR0AWoRfSSfuj/zV2RkmS7iG38OsJIRrp5bfDSM+CdtxkDdBMGJnGI4RwEELUipV8CHnMsogRW39Enk4yWAjxP+19E7vOTHGLAfLvKxz4WxgJQab9nLshTyVKiB3IEUtaS5J0KpG8JiPJYdzaIDvUmf33KknSK+Q5oVmB4XrpUei6WJfHfqZqP5fPkefm3kd2wNInyZ+rEKJa7Bcx7Xf5K3KQg7WxuhwTYhpyV/1A7T0Rp9dQyGPau02pLL7PScsS5Be8abHvPSHEB8jf30OM+3TE+BMk9nw0qduzBfIHfg25+f0CufVRD/lBEohet40kSVuEENO0abeEPB73FLnvvgxQEbmF9FKSpCdCiM1AK+S5ZweQHTvaIrv6t4tly+dAIyHEXuTu1mitHZWBbZI2JJAkSXuFEHORm9WXhBAbkPuBuyA3pwdIkhRnPCUJ/IU87eOMEGItctdMK+RBZFMf2onRQgiRTbsd4/DSTnuuhSY8EOYi/5DWCiGWI79lNUJupV/A0OEnN3BKyE4A55DfjPNozxeJ/EJjNiRJeiGE6AksA64JIbYg/7C8kB/GdZHHBBINeyRJUpgQoivy/XJI2112HXleaU3kVlEfbfaJyD+Or4COQogjyF0n+ZBbTb4YHwczlX1AR+SxjB3ID6uDkiQdRL5nGiPPJ1yB/ILYDHlcz9h45QjkMZct2u/vGXIoQTtt/tjjHUOQf4/zhBCDkFvE4cithTrIv9Pievk3Ij90GiFPOVHQdjs2RR5n+wYYIoTYg+z85aats6k2+9FYZc8IOY7rMmCTEOIscqslBPnzbaQt/4/xj1CpJxp5PqTZ0f52zCaoRvgZ2R/hMyHEzJjxb0mS1gghRiKPZ57S3iOXkZ9NjZAdCB8ALbQtIH2bk/O5/g1k1t7nj5G7Axsg/8ZuIj9PTUKSpDfae2Iz8j0xUAixC1kPMiE/0yuStDCXRj8nbf1NkMO01RJCHEbuDi2F3MPzHtmz3ZhwN0J+Zm035aISc1cthtzU3Y38RhKO/NZ+BfkNIk885T7UGhCgLfMQ2SNvCOCuly8Tcv/7I+1FnUce66tPLHdW5B/cIuQvLhR57OIcsuOES6zzC+25zmnrDUZ+ODUzYutk7bnqm3IM+QE0CvkhG4b8lvwNcosqjpsu5pnq8Aa5hd2PWJFviH+eXzPkLsZQZGeRxchehQb2ILcAJiO/LT3Xfl8PkD3BKphit/51YiTCSzz5y2htiol48gK5xTMJvbmM8V1frLqKa+uKmfP3BPnh3ShWPkdkYYn5XN4i/2CXE3eO3H2MRFKJ75i27p+R7+Uo4t6/PZC7NN9r7ZuFLPhGz4MsyAfQRXhZhCzqwcAFI/k9kAX+orZMiPYenW/kcxDILxyHEvhMnZGjJO3S3j+R2nOfR55EHycqjl7Z7Mi/iTPaezcCWbQ3II+56c+njPl+E517RgqmOiSSz4+kT3WIM39NL0/M1JlxRo6VRo7scw/5+RGMLMbjSeS3k8TPdQRyd2tMNKy32u/uK2SnNJN+10buiaHIwSL8tffEa+RW2Kf69qfkc0J+yRqPHNAjVHudD7TfR4kEbAsCVppyLUJbSEVFxQbQdhPfRX6gdEosfyJ1fYo8d7aEpPOUVlGxSYTOC7+OJEmHE8uvruenomKFCCGcRNyQZ07I3e1gBi9F5GlGD5GnDqmo2Cxa348JwCZThA+SKX5CiLxCXr/pmhDiirYfO2a9rfPav/tCiPN6ZaYJIU4Leb6T/rpNw/XyzBLqgqwqKiCPTces0zZNCPE38lBDe+Tu7wRjPJqCJHs69gZuGnNgUFGxIXIiOzHGjh0dL8m94aOQQ1Wd1XpfnhFC7JIkSZk/JoT4Ge08DCHPGwPZkWEhuigrL5Enbv8tyfPzVFRUZIKRx/gaIg/+OyCPDX6LHOYqzuKzyUGSgywnFGhZRcXqkSTpKUmcg5ws8ZNk1+pn2u0QrSdobuQYbjFN0M7IP1yQI2FokAc29ecV+SN7LPVG9k5UUVEBJDk4Q5zpPioqKuYhxV0dQo4JVwHZSy+GOsALSZ6ciSRJV4QQbsjdNbGjWfyAvMzQ/ETOMxB59Whcc/lWsnOMM/Uo2Xi6upqtLmN4OKZ8haPwsDAe37mLpJE93D0ze5MjjymRkozjap92vVzPnz7F/6UuMpmws0PSaPDw9CR/gQLY2alDz+mB99GmThlLG0IjU6czKeT9+yTlj373njB/7VxyIXDPkxvszBK+M00w9fn4/PrNHZIkNUtlc8xGip6A2km6a5DjauqHC+uKPB9FQZKk2BMZY9LvCSFOAt0SOpckSXPQBtD18Msnlf8yScEnEqRuGXNNzTNOrVz5zVLPoU1b+fGTkQCEBAbx5dzZlKpqbG56/JT1SjTeq9mZN/svpoyfoOzHCHhoSAh58+VjzpJF8RVVsTEuBscOO2o5jjxNSuQ80zl4KdHppwZIksTZid8Q9uIlSBL52rYkS9nSqWKbuUjOM/H76o2zJZ7Lekj2K7d25v0aYKkkSWv10h2QB+VXJKG675DnElqkCZDUmzkpmEv4AOp82IIazZoo+4t++jmB3HGxhPAB5MmbN95j2zdv5trlK/EeV1GxNpIqDEIIspQro+wHXrTe+71umRKp3hiwFpLr7SmQJ2lekyTpl1iHGyMvkvnY1PokOTLLVeQoKSoJMOCrL7F3kBvsV06e5u7VxIW7rFdWiwkfQP4ChhHMvv/1F4qV1P3Ajh0+zOzffuerseP489ffePbkSewqVGwES95n1kzmMiWV7cArqfeynVwykujFkNyWVi2gJ9BQb2pDC+2xj4jV5Wki32Lach+pQmq2/sxJ9ty5qNWiqbK/alb8IRItLXoxFCtZgjYdO+Dl5cXXP/1I9z59yOaTXTk+edx4vv9qMgv+nsMPk6dQo0w5vhgxkuA3KVl4I2OiF+1CJRVJqlA4euhi/0tR1jE2GiN4GU30YkiW+EmSdFiSJCFJUllJkspr/7Zqj/WRJCmxoLVIknRfkqTSevsXJEmyk0xYPPH9+9gLQFgn5uzy1KdNf92KPIc2b+Xoth1x8liD6MUghGDmP3O5eP8ufQYOAKB1h9hhW3VoNBqWL1pM01q1uX3zZrz5VHScOHKU3p06UyxXHkrn96NFvQZ8P3kKIcHqC0RqUbdMCaIjInhz4xYh9+4rY9nGCLmnG3/08MuXFubFS0YWPH1sMryZfY7sklv3jgCUK1kykdxJw5w3RWqJH8C0EaM5sF5e39Pdy4tZOzfjkyunVYleQkiSxLw/ZzPnjz94+fwFpcuVo06D+pw7dZqjh3QB2X1y5GD7oQP4ZM8ef2XJJGsyl3QMMLoOsmWQJInZv/3Oj1O+Ntri882Vk29//pkmzdPWCS+tHV8kSeLM/oPcuiCvBuXq4cELOwm/yuXxyJY6v4ngl/4sHTyKoKfyWq8u2X0o0rcHXoUNVwyLCA7m6ow/eftY7s7P3741eZo3iVNfapPagvd99cZnJElKmgeeBbF58QPzCqC5bpDUFD6A0KA3jGjRhpfaH1TbTh35fe6cVD1naiFJEkJvWblN69YxZtgI3r19C0CPj/vy3S/xO/cYE7Hg4BCOnzzDlas3qFenBhUrlDW/4SZgTqF8GxrKkQMH8fd/ib2dPUIItm/ewp4dcVv+sWnVri1TfvwhVV4ijJGW4vcmIIAfho7k0rETcY45ODvTesp4itWvnaJzPL5wmTtHTxLw4CEuXp5UbN+agAcP2fjV9wb5hL0d+dq0Ikv5MkQEvSHM/xVPtu82mOpQ/qtxuOdObO1l85FWrTxV/NIAVfxkLp84ybhO3QFwcHDg8oN7uLm7J1LKNti5ZSv9u/cAwN7enmsXD5M7d/zrI0dHR/P7H/+wYOEyXr8O5E1wCBptN5QQgn59uzFl0hd4e8e3DF3akBwx1Gg0rFm2nB++nor/ixfx5qteqxbf//oLXpkycWDPXr6dOImAV7q1SjN5ezPxm6l06t7N4GUjNUgr8ZMkicl9BnBmX/xBapzd3Ri06l/cs8S3Nmr8BD19zt7f/+LGfpPCRSaMEBTq0QXfurGXVkw90rJ709bEL13MLr5w9aqlTbAIpatVpXCxogBERUVx45ptOO2YQpMWzalWU16HNzo6moFDP+fc+cuEhxuuqxsREcGJk2fo1nMwX076njt37xMY9EYRPpAfkP/MX0qFqo1YvXaTzTmETBj9GZ99MixB4evxcV8Wr11NoSJF8MmenY5dP2LvyeN0+Ei38PeboCA+HzacFnXrs2H1GqJSyfEiLVt9l46dMBC+hh3a0WXEUCp1bIODsxxcIvztO44vTsrMK4gMC+Pg3H+Z2/Vjk4SvcO0a5CxZPN7jdk6OFB86IN0Kny2SLlp+YL7Wny21/AB+6T+UvTt3AfDPf0v5oEXzNDlvWrBt4yYG9eodJ93R0RFPD3fs7OwIeB1oVMyEEJQpXQIvTw8OHz1pcKxG9cqMGjGI/Pnz8vTZc54+fc6bNyHky5ebwoUKUKxoIZycUh6VxxhJbfnduXWLBlWqKfs+2bNTv3EjhBCEhYWRO29eWrT+kHIVK8Zbx8G9exn/6WgePXxokJ43f34GDvuEzt274ermlrQLiQdThE+j0XDh8FEunzxFdGQU9o4OZM2Rg0xZs6CJ1hAVFUl0VBSSJJGnYEEKli6Js0vcNYajo6MZ27Er18+cA6Bp1y4M//EbZXL7zYNHWPOFvPC9nb097b6bxJvnL7h96BiBj5/i4OxM3gpl8KtcAZ9CBQgLCSX4xUueX7/Fxc3beR/L27jkBw3xKejHgb/iBqP6ePHfZM2flzOr1nNh03aCA4NwyZYVF59suPhkw6daZVxzpE2XM1hG+Gyt5adGcrdxsmbTBVV45f8ygZy2R7MPW9Gn10csXLTcID0yMpLXgUFGywzs35NxX4zAw90dd3c3JEliw8btfD5uMs+eyS2nY8dPc+z46XjP6+XlSasWTejUsTWNG9a1aPi1Rf/MU7Zr1q3LvP+W4O7hkaQ66jZsyK5jR5jx40/8O/cfwrThuR49eMDEMV/w648/0XfQQHr174d35qR3DSaERqMh7O1b3r19S2jQG84eOMS2Jct49uBh4oW12Ds4UK1JI3p9MZo8hWRnkif37jN3yjeK8Dk4OtJhyACDckXq1MS3RFGeX7uJJjqaNWO/ilN3wIOHnF+/JcHz+xYvSpPPhpFHO1fv9pETPLlkOFHd2d0NBycnqnXvTLXunQHLTJ9SW3umo7b8YmFrLb9ds+bw20/TAOg7aCBTfvwhTc6bFmQlGI1Gw9r1W9i8dRdHj53ixQv/ON11fvnzUrNGFbp37Uj9ejWN1hUcHMLX3/7MP/OXEhkZabINjRrWYc7sn/E141u7qa2/t6GhVC1ZipDgEACWrF1N3YYNEymVyLlfvWLhnLn8O/cfggID4xz3zpyZHDl9yZ4jBzl8c5Ijpy85fOX9GJtCQ0MJDQkhNDSUt6GhhASH8DY0lOdBr3kf+pb3b9/yLiSU92/lbXNhZ29P8QrlCQ97z53LhkMd3UaNoNuo4XFCmj04c55lw79IcBpCfGTK6Uutvt0p26opQu8F6PGlqywdMhqN9j7MX7kC3WZNM1pHWgqgpYXP1lp+6Ub8wDwCaGvi9+r4Wfp0lleSKlexIpv27k6T86YFxrw4JUkiPDyckNC3REVFky1rZhyTEOT8yZNn/PHXAjZu2o6jowM5c/qSO5cvnp4e3H/wiCtXb/D48VODMrlz5+TM8V14eiatxRUfiYmfJEk8uH+fCaNGc3i/PJ5VoFAh9p06YbZW6NvQUJYvXsLcP/7g6eO0j6jj7uVF/XatyebrS3jYe149e05o0Bvs7O1xdHLE3sGR6KhI7l65xqPbdxKsq93AfvSd8AV2dnZG43nePXGaowuWEhrwmix5c1Okbk3yVSzP21cB3D9znodnLxD6KgBnd3e8cvjgmd0HvyoVKFyrOnb29kbP+ez6TW4fPo6dvT2VO7fFOQFHs7QQQEsLH6jilyao4qcjb5SgXMHCADi7uHDr+dNEStgGyZ2Dl1IkSeLc+UssWrKSufOWKOmbNyylQT3TnBUiIyMJDHpDdh/jcX6fhjtz+8ZNXvm/5JX/KwL8/fH39yfA/xUBr/y5df0Gjx89Mijz/a+/0L1Pn2RfV0K2blyzlvl//c21y5dTxQnGxc0NV3d3XD3cyZbTl/rtWlO3dStcTFwt4PbFyyz4fhoXjhxV0uzs7KhYvw5dhg2lRGV5vDO1Almbi9QSQWsQPlDFL01QxU+mrFdWJEmiYLbsREfLa5vefvk81Zw10gpLCZ8+gUFvyONXTtlv82EzQkLf8vbtW3Ll9KVzx9Y0b9YoTqvz6LFTdO7an6A3wbRo1oiWzZtQpkwJXvoHcOLkGY4ePcmpsxcJDzM9StGnY79g1LixqT49QaPR8DoggBfPnvPi+XNePH+mbL98/gI7Ozs8PD3x8PTA3cND3vbwINAeXD09cNMKnJuHB64e7ri6e+Di7oZ9PK2npPL8wUMe372Hk4sLBUuWwCOTYQva2sUPzC+A1iJ8YHvipzq8pAJp1eoDCAkOUYTP2dk5SV2A1og1CB/Af8vWGOxv2LTdYH/dhq3kyOFD964dqFihLC7Ozmg0Gjp30zldbNm2my3bktcN7e7hQdUa1ek7aCD1GzdOVh1Jxc7Ojmw+PmTz8aFU2TKJFyBtpzX45s+Hb37jocFsQfhAFitzCaA1CZ8tkq7E78LVq2YPd2btnD+j81osWLhwqrcOMgpubol3yb144c8vvyYaxtYo+fz8yJs/P9l8spE1Wzay+fiQ1ScbWbP54JsrJyVKlbL5FxkV45gigKqwpT7pSvzMwcFL12zqxlu7YpWyHTMp3FaxllYfQO+eXXj46An/zFtCSOhbypYpSdcu7ShRvCgHDh1l0ZKVPH+e8NSSb74ez8FDx3j69DlZMntTskQxatWqSo3qVXDyLZxGV5J6WMvCtbbS6tPHlp4x6ZV0NeYH1jHul1bdngVwpFKxEsq8rc3791K2fPk0Obe5sSbhM4WoqCi279jL/oNHefDgMdGaaIQQXLp8jfz58jBj+lRKl4o/4oc1BcdODqrwqcRGHfNTSTPmzJylCF/xkiUpU65cIiWsE1sTPpBjqbZq+QGtWn5gaVNUVFSSQbqI7ZkRyRb8nr9n/aHsD/hkaJLG+3Zv38HoIZ+wY3PC0S1UVGKjtvpU0gPpTvwySpDrH7+eqrT6SpctS4euHyVSQseKxUv4+KOurF62jAE9erJr2/bEC6USttjqy8iowqeSXrBZ8ZPehyEZmZCbEbw9b5y/wLqVOkeXSd99a3Lkj/t37zLxi7EGaSePHTOrfUnB1se+kkoAXjZ5zReDA1ThU0lX2OSYnyboDW//WgCOjri0aY5D3tyAdTi7pAXzv9HF72z+YSuq1zZ9mZQfpnyttBhjeP/undlsSw4xYpCeW4G2KHhgPS09UEVPxbzYZssvIkL+HxlJ5LlLgHW1+FLzR/r4zl2unJTn9jk4OjL+6ykmlw149YrtmzbHSY+I+TwtjK22ihLCVq/Jmlp6oAqfivmxyZafPlLQG6sSvtTm0Cadg0qVRvUJzmr6g3XX1m0Gi7zGsHzRYt4EBVG/cSM+bNcOD09Ps9iaXALwsvlWoC0KHlhXSy8GVfhUUgPbbPnpYR8RYXMrc6eEQ5u3Kdt1WrUETH9gbd+sa/WNGjcWn+y6ZXq2bdzE2BGfUqNMOY4cOGgma5OPLbaYYmy2NbtjWnnWJnxHnj5QhU8l1bBJ8ROZM2HvKq/sHBkSSvgr6/rRphaPbt3m4c1bADi7ulK1cQPlWGIPrtcBAcryOAAdPvqIJWvXULhoEYN8b4KC+LhrNzasXhO7Cotg7UJiq4IH1te1qY8qeiqpjU2Kn5uXF56FCij7Lw4dTSC36Vi7s8ujO3eV7WIVyuHi5mZwPKEH2XeTvjIY24uKiqRE6VLsOXGcXUcP87+pU8icJQsgO8CMGDCQBX/PsYpWtbWJiy0LHli/6KnCp5IW2KT4AXiX1IWOCr59N4GclsGUH3BkeDgvHj1WVmVIDI9MmZTt4NdxV+EG4wL49PFj1q5YaZBWv3JVWtZvyNiRn3Lk4CHKVajIyi2bKFhYjjkpSRJfjR1Huw+asnLJUvbu3MXlCxctKoaWFJ30InjWKnqgtvZU0habdXjxKlxI2Q598Iio9+9xMHFxzLTm5eMnXDt7juy5c1OsQjkkjYb/fp3J+jnzCQ8LI0+hgny9ZAHZc+dKsJ7nDx8q2zn9jC/tAvKDrqxXVmX/5vXrRhcpvXT+PJfOn1f2c+TMSefu3di/e4+SfvbUac6e0q0cUatePf5Zuhh3D/Osap5c4hOhlDrK2Kq4xYc1i10MquipWAKbFT/PAvlxy5WTd0+foYmI4Pm+Q+Rpkfw4i7G7PDVR0URFRuDo4pKiZYKO79zN94OHE60Vn5z586HRaHjx6LGS5/Gdu3xcox5fLZhDlUYN4quKs/sPKduFy5RO8Lz6ApjDN6dJtr549oyZ039m0Ijh1Kxbh3l/zo4jmkcOHGDGDz/y5TdTTaozPjQaDds2beLA7j1kz5GD/sM+wdvbO0V1QuKimN7ELT5U0VNRSRibFT+AXE0acPvf/wB4snMPPjWq4pzZO1l1hfi/4tLWndw/dY5nV28QoZ347ZrJi+yFC1K2VTNKftAAuwRWpX547iJXduzh7etA/CpXoOqQIaybM08RPoBnDx7GW/6XUV+w4MRBXIy0YC8ePc7hLTpPz3K1aiR6TTECWLxUSarVrMmJo/LYqIODA1sP7Mff/yXXL1/h2pWr7Nmxg8DXrwGY9+dsdh8/Sr/Bg1izYiVnTpzkyaNHXLtyBYA5s/4gNDSUeg0b0qBJY6P2JsTb0FCG9OnL/t17lLRN69Yz/Y+ZVKlePUl1mUpGED1bEDxQRU/FOrDJJY08/PJJ5b/8Ak1UNGcnTlW8Pd3z5aFwr244Zc5ERNAbIgKDCL51h+A793DPkxu/Tm2xd3IyqEsTFc2jzdt4vns/UeHhCZ43a/581O7fkxKN6iH0womFv33L7hl/cnHzDoP8zi4uhIeFGa3Lzs6ObqNHULJyJSZ81FNJ7z9pAm379zXIGxEWzojmrXmsdXip06oFY//8LZFPSUdZr6z4v3zJnJmzuHXjBt369OGDFs0N8oSFhdH+g2ZcvngRgEHDh/G/qV8rxyVJokPzFpw+fsKgXJHixdhx+BAODqa9R0mSxLB+/dm0dp3R4z37fczUaT+ZHK5NRRW9tCb2QrTW7iiXVtjakkY2LX4AQdducOXXP8HI5O3YZKtSkWIDDYXl9qJlxr1FhcDewYHoyMg4h3wKFaBSxzbkKlWceyfPcGbVeoJf+Cd47ioN6zNm5i+c2L2X96FvKVO9KnmLyM4lK2b+yeJpM5S8Ddq3pefnn5I9T27C3r3j2wFDOXfoCABunh7M3rOdrL45Er1effTHAONj785d9OncRb7GHDk4ceWSgai9fPGCoX0+jhML9ND5s+T38zPJjv27d9OrY2dlv2KVyly5dNngJaFh0w/o8FEX6jRoYJau0PSKKnpph7ryeuKo4pcG6IsfwPODR7izeLlJZUt9Nhzv4kUBeHPjFpen/64cy16kEFU+6oBf5fJ4ZvcBSeLN85dc2rqTU8tWE/428RiYRevVwj1LZi5s2o5G292Z1TcH3y1fTO6CBYyWCXv3js/adOLBjZtKmoOjI9WaNCLgxQuunzmnpA/9dgotenYz6VpjE58ASpJEREQE9vb2VCtVBv8XLwD4d9UKGjRpEifvkgUL+d/oz5S0Bk0a8+8qQ2/S+BjQvSc7tshRajp378b0P2bx6MFDJo4Zw96duwzyenp5MnfJEmrWrWPyNWYEbEX0wLaFLzHBi01GF0BV/NKA2OIHEHzrDs8PHuH1xcsIIXDKlAkn70y45sjOs316EUuEIHOZUvjWrcnDjVt5+1B2PClWvzbtvptk0J2pz/s3wZz4bxWnV64j8n3crkzXTF40HTOCEo3ry/a8eMmDsxco7Zubyg3rJzouFhr0ht/HTuDotp3x5uk5ZhSdhw1JkQNObAF8eP8BfT/6iAd379G0VUuD7siBwz4x6tii0WioWbYcTx8/UdLmLlnMBy1bJGpbqwaNuHhOFvM+AwYw5acfEEIQHR3NxDFfsGT+AoP8ufLk5tiliym65vSCKnppQ1JFT5+MLICq+KUBxsQvId6/9OfC1J+Ijm/8zcGBwav+JVPOxLsS3wUGcXnbbh6cvcCLm7fJ5Judcq2bU6JxfRxdXOLkr5Urv8l2Alw+cZLZX04xaAUCDJg0gTaxxgJTQlmvrDx/9owB3Xty4exZo3nade7Mb3P+MnosJDiYUvn8DNLadOzA73PnJChUE8d8wb9z/1H2fXPlpE3HjvQbMhjfnDm5eP48W9ZvYPavujHNLj2607ZTJ2rVq5uEK0w/2JLoxcaWRTAh9AUyIwuePqr4pQFJFT+At0+ecn/1eoIux32rq/JRBxp/OsRc5sUhqQL4LjSUNbPnEPTqNVl9c1CpQV2KlS9nNnvC3r9n3Zx5rJ09N8HljEaPH8enY+P/nJcvWsyXn48xiBwzb9l/NGneLN4yAa9e0b1te65evmyQ7uzszN+LF9HwgyZERkZSxq8g796+NcgzfdZMOvfontjlpStsWfhik16FUEVGFb80IDniF8P7Fy95cegor86cJyo4mPJtWtJoxCDsHR3NbKWOpIpfavLo9h2m9hvM03v3DdIbNW1Krbp1cHWXQ6a5uLjSpmOHRL047925Q71KVZT9b6ZPo1f/fgmWCQoK4scpX7Nl/QaCAnWRaipXr8bfi/4lk7c3G9esZfSQoQblSpUpw7ZDB2JXly5JT6JnDFUI0x+q+KUBKRG/GNK6q8IaBPDV8+d82rIdQf6vlDS/EsUZMGkC5WrVMMkjNIaAV6+Y+8efLJm/gOA3b5T0TN7e+ObKSf3GjWnXqRMlE5iMHxUVxZ7tOxjUq7fBUktlK1Rg+qyZfFCrtkH+jCJ+6V34jKGKoe1ja+Jn05Pck0tG7aP/7fPxivA5u7rSf+J4PujaGXvtxH39h25CQhjw6hUt6tXn2ZOncY69CQriTVAQN65e4+/fZzL5h+/5ePAgwsLC+OOXGfz37yKiIiMpWaYMwz8bTdNWLaldvx4H9+5T6rh47hzLFy82qDdXntwpjipj7WRE0YvB2MuhKogqqUmGbPlZSvws2foLDgykW7mqyv53yxdTtmbi0VSMieDShQsZ/+lok87r7OzM4Qvn+PKzMcoUhxgcHBz4aebvlKtYgR7tOxgV0xgSG0u0ZTKy6CUXVRitD7XlZ+Vk1Faf/ioQOfLmMUn4QPdg1hfBug0aks3Hh1f+uon9Tk5O1G3YkBZtWpPJ25th/frz/t07wsPD6dulK5cvXIhTd1RUFKOHDGXsV5PYcfgQtctXNOhC1WfC6M+oWqMGmbwzGT1ui6iil3wSepFUhVHFFDJUDClLC58lf5T6jiuREXGj1iSG/nI4efPnY8eRQ/Ts9zEftm/Hr3//xdlbN5m//D86dv2IJs2b8f2MX5Sy+sJXr1FD9pw4RvGSJZW0H6d8TZXiJY0KXzYfH0AOuj131qwk250S3r97x28/TaN5nXpUL12G/t16cP/ePbPUrQpf6lErV/54/1RUYshQ3Z6WFj9I+67PgOcvOLFrD5sXLubhrdsA5Crgx5wDuxIpmTCJOcdERkbSplETJVZoDDsOH6JE6VK8CXpDv67d4oRKi8HF1ZVvf56Og4MDIwcOAiB/gQIcOncmRXYnhUG9erNt4yaDtKREszGGKnq2g9qCTBpqt6eVYg3CB/IPKjUFMDoqijP7D3L5xCkunzjJzfMX4+Rp1q1Lis+TmHOMo6Mji9as4tuJX3Fgzx6yZMvKoOHDKVG6FACZvDOxZO1q/vz1NzauWcvd27dxdHSkTPlyVKlRgx4f9yW/nx9h79/zqRBIksSjBw+IiIjAKVZw8tQgLCyMnVu2xkk/uHcfUVFRJgfyjkEVPdsjrV5UVZG1DBlC/KxF+FKbdyEhTO49gKunjbeOHBwdaTvgY9oO+Nis5zU2Lghyl+WMv/6Mt5yLqyujx49j9PhxBLx6hbu7e5wwcC6urvjmysmzJ0/RaDQ8efSIAoUKxVOjedBoNGzdsJHo6Og4x4ylJYQqeiqJoY5fWoYMIX4ZgcsnTvHXxCncv37DIN3ewYHS1apS/YNG1GjWhGw5TVvYNjnEJ4KmkDVbtniP5fcroHiC3rtzN1XFT5IkRg4cxIbVa+LNM6xff9zc3OnWpxeVq1UzmkcVPRVzEJ8wqqKYctK9+Fljq8+cXZ/RUVHMHPclu1caPqybdetChbq1KVezBh5p7CGZEhE0RpHixTh+RF7Saf5ff1GtZg3cPTzMUndsdm3bnqDwAWzdsBGAtStWsGDFMmXlC1XwVNKKmOeHKoLJJ117e1qj8JmbdXPmGQifs4sLw76fyrAfvqFWi2ZpLnz6xHiIplQU2nfRrf93cO8+qpQoyfhRo7l4/nwKLYzLrq1xx/latGlN7wH946RrNBq+mfqNWa5RRSU5qF6sySfdip+1C5853tg0Gg2bFuoioVRp1IDZ+3bQrPtHKa7b3KREICpVrUqPj3UrWoSGhLJ0wUJa1W9IqwaNOH74iLnMpEaduGsHShoNU6f9xL5TJxg5/XsGTZmoHLt18RIv9ZZ2UlGxBKoIJp103+1pzaS0+/PKyVMEPJcXnvXKnJn/zfkDh1QM0G0O4hPAxLpIv5k+jWIlSrDg7zncvX1bV9+5c3T5sDV/LpxPyzZtUmxf3vz54qRpPNxlu3NkoUnnjgCc2LWH84ePAjB74hQmzvsLu3jWglRJOcnpQs+IrXG1O9R00qX4WXurT5+UCODeNeuV7TI1qlm98CVEYqJoZ2dH7wH96dW/HyePHWfZv4vYsmED4WFhSJLE+E9H06hpU1yMrKmYlHPuPHk8TtqzBw+RJMlgncJOnwxWxO/Unn0c3bqD2q2am3xuFR3mGhs2R73pRTBVEUwcmxc/WxI6cxOlF6nl0vEThIeF4ZyEh78tYOxh5Fq6KB9P+4ZWnw5l9IftCXoVQFBgIL379Kb7Z5/iV6xoss9XvEJ57Ozt0ehNabh49BhP790nd8ECSlq5WjWo1aIZR7ZuB+DG+Quq+JlIaomdOUiqbdYulqoIxo9N9tN4urpSt0yJdCN8R54+SNbN2ahTe2U7+HUg5w+ab+zLFsieOxfNu3dV9o9t38WwJi35/YsJSZ6PF0ORcmX47NdpBmmu7u5kzu4TJ2+OvLkN8qgYp6xXVoO/9ETsa7PWa1XHA+OSLPETQuQVQuwTQlwTQlwRQozUOzZcCHFDm/6TXvo0IcRpIUQ97b6fEEISQgzXyzNLCNEnBddj0yRVADUawwe8s2v6avWZQoehA6lQ13Ddv53LV/HH+IlER0UB8ty9a6fPcmDDJgL11jI0xsWjx/ljwiSDtM7DhuBmZGqFu5eXsn1i124iwsKTexnpCmsVAEtgTcKoOsUYkqzYnkKInEBOSZLOCiE8gTNAWyAH8D+gpSRJ4UKI7JIkvRRCFAf6AV8BCyVJ6iyE8ANOACFASUmSIoQQs4DTkiQtTOj8OUsUk/oujD9ySHogsZv0xM49TO0/WNnP7OPDguMHbHrcL7lIksSl4ydZ9/c/nNq7X0n3K16MRp3ac/HocU7tkdcLzJbTl0kL5hARFkbw60CCAwNxcXOjUv26OLu60q9WA/y1E+odnBzpP3ECLXt1Nxjvi+HhzVsMa/qh0kVar+2HdP5kCD65fHHz9Ez9C7ciMrrImYO07EJNjW5QW4vtaZbA1kKIDcAsYAAwR5Kk3bGOlwJ6AZOBRZIkddKK32bgCLLgzVXFz5D4BDDs/XuGNGiK/9NnAHhny8r4v2ZRqqrN3Hepgkaj4bfPx7Fn9bokl82RNw8DJ3/J1H7yC4W7lyffLP2XIuXKJFhuwz8LmPv1dwZp7l5efLN0YaJlbR1V8FKPtBBCcwugrYlfisf8tCJWAbkVVxSoI4Q4IYQ4IISoAiBJ0hXADTgMzI5VxQ/AZ0II+0TOM1DbbXr6XVBQSs22CeIbC9zwzwJF+DJlzcLM7ZsyvPCB7BE6Ytr39Bn3eZIdf148eqwIH0CZ6tVMEq/W/frQoH1bg7S3wcFM7T+EsHfvkmSDraB2Z6Y+adFFmtG7QFPk7SmE8ADWAJ9KkhQshHAAMgPVgSrASiFEQUlmuLE6JEm6J4Q4CXRL6FySJM0B5oDc8kuJ3baG/nQISZIMIrr0HDPaqDNGRsXe3p6OQwfRuHNH9q5Zx/Wz53B0dqZp1y48vXefJdNn8C4klIjwcCo1qIek0XD2wKE49Xhm9jbpfEII+k8az/lDRwjUW9z39YsX+D99Rt7CqRuEO62wVrHLSrDR9AC8jKbbKvqfvzlbhbVy5c+wnqDJFj8hhCOy8C2VJGmtNvkxsFaS+1JPCiE0QDbAP55qYvgOWA0cTK496Z2YGzRn4FuePXgIgKuHO406tLWgVdaLd7astB9kGJKsbI1qRpdz+v2LCexcvsogrWLduJFe4iNTlixkz5PLQPwAchqZMG9LWErw4hO0tKzDmsUz5nsxlwhmVAFMrrenAOYB1yRJ+kXv0HqgoTZPUcAJSNi9DpAk6TpwFWiVHHsyEv/995+yXbVxQxydnS1oTfpg8Ndf0bBDO+zs7HBwcqTzsCFJnrMXER7X0/P4zt1Gclo/ad2tmZVggz9rILZN8f1ZEnN+RxmxCzS5Lb9aQE/gkhDivDZtAjAfmC+EuAxEAL0l0z1qvgXOJdOeDMHTK9c5uUzX5VmrRTMLWpN+cHJxZvSMnxj+w1SAZL1QjPn9F34Z9QW3L11W0h7dup1ACesjrVt6lhYPc2DsGtKy1WjOVmBGawEmS/wkSToMxPX9lulhYh33gdJ6+xew0Un3acWN/YfQaOeuOTg7E1msQCIlVJJCSlrR+YoW4dtli+hSuqJBmi2Q1q289E7sa0wLMSzrlVUVwCRi8+HNMhJObm7KdpG6NXFwdjK4UTNi14U1sWT6DGXb2ydbnMn31oYqemlDWrUOVQFMGqr42RDZC+laeqGv4t7kqhBajpsXLrL53yXK/oCv/mc0Kow1kFail5EFLzH0PxtzCqG5ukEzggCq3Yw2RI5ihZXtR+cvGRXAGJIbL1Ql6URHRTFr3JfEDG9XrFeHuh+2tLBVcUlLRxZV+EwnNZxnzPE9p/cXaFX8bAivHNnx8NHe1JLE3eOnEy2jCmDqc+Xkae5euQaAk7MzQ7+ZbDQcmiVJS9FThS95mPuzUwUwYVTxszFyliimbO/7Yy5hIaGAPPk98PFTzq3fzMavvmfb97/w5LL8QFZbganL/es3lO1aLZrha0Xz+9TWnu2hCmDaoI752Rh1B/bh0flLhAWH8C4wiDOrN5CjaCGOzF/C0yvXDfKe37AVv6qVaP3VONyzZk7xyvEqxomK1K2r6OjsZEFLDMkoDi1RgZcSzeOQ2bbirMZ8nuYYDzSHI0x6HANUxc/GyF64IPWH9mP7D78CcPDvBQnmv3/yDMtHjqXbnz/j6uWp3MCqCJqPgiV160reuXzVgpboSM/CZ4rYJbeMtYlkVoKtRgDTG2q3pw1SskkDPLLFfbjZOzlSqFY1Go0YTOkWTRB28tf78vZdVo4aT/hbXaDl9PYWZ0kKl1Gmq/Lgxk2Lr+uX3sb3ogIvGfyl5blS+3ymYK7POaX3RXp7YVZbfjaIs7s7XWf+xNrxU3j96DEeWbJQokkDqnRph1eO7Eo+v8oV2Py1vJ7w0yvXWfPFJDr9/C2OLvJk7tgCmN5u7rTCwzsTOf3y8+z+A6IiI7l3/TrFypeziC3pZXzPGkQnBmO2WKKFaI5WYEpbgOmp+1MVPxslW4H8DFw+H0mS4vUsLNPiAyLevWfn9JkAPDhznpWjxtN8wmdkyZs7Tn51nmDyKVK2NM/uy5/f7YuXLSJ+ti581iR4iaFva1oKoTnGAlUBlFG7PW2cxFzqK3VsQ/2h/ZT9h+cu8k/3/hya+y9R4RHxlovxEFU9RU2jqJ7YHd22M83Prwqf5bBE92hKvwe1C1QVvwxBjV5dqTuwjzIGGB0RyeF5i/mn+wDunThjUh2qECZMjaZNsNN+vheOHOXu1Wtpdm5V+KyDtBZBVQBThip+GYRaH/eg9/xZ5CypmycY+PgJy0eO5ezaTUmqSxXBuOTIm4eazZsq++vnJuyFay7SQvhSy7HFWhxKzE1aXpcqgMlHFb8MRM7iRek193eajhmBs4e7kr7jp9+4tG1XkutTRdCQdgM/VraPbNlGpJE1/sxJWglfapAeRS82aeUxqgpg8lDFL4NhZ29PxQ6tGbRiITlLFlfS982cg+lLLxqiCqBMsQrlyeknPwjCw8K4fu58qp1LFT7bIrVFUBXApKOKXwbFPWtmPvrtBxy0EUnevg4k4t27RErFj9oKlClXs7qyffWUaeOpSUUVPtslNUXQ0gJoa6jil4Fx8fTAzTuTsv/+TcofeBldAN08dcsYJbclnRCp/YBSx/fShtT6PFQBNB1V/DI4Ll66+ULPrt5IIKeKKTx/+EjZ9s2X16x1p4XwpQaq6MWPKoCWQxW/DI5+RJj1X37D5qnTCHj4ONn12WLfvzlJLfHLKA+kjIgqgJZBFb8MTo1eH2Hv5KjsX9qyg3/7DuXVvYzdfZlcDMXPepY2Sgy11WdZrFEA0zuq+GVw8pQtRY/ZM8hTtpSSFv72HRu/+i7BleJV4hIdFcU77fqKdnZ2ZMqaxSz1qt2dGQNrE8D03vpTxU+FXKWK03POb7SZ+j8l7cXNO/zTfQAvb981uR5Jkrh25hyP75heJj0Rqb+un5OTWVZzT+8PIBVDrO2FIT3ff2pgaxWFkk0aEPT0GQdmzwdk78/VYyZRu18PnNzccHBxJmv+vGTOnStO2bDQUA7/s4hTy9cCULBUCToMHkC9Nh+m6TVYEv1YqQ56XcnWjNrqsz6iAi+ZNVh2SleDSK9rAarip2JAzd7d8C1WhJWf/Q8pWsObZ8/Z8s10gzyFalWj/pB+ZC9ckOioKHb/Optz6zYhRWuUPHevXGPa8NE8f/iILsOHpvVlWAT9lp+DY8rFz1a7O1VSjiqAqY8qfipxKFi9Co1HDmHXL38YPX7nyAnuHj9FmeZNePP8JQ9On4u3rsXTZvAuJJS+E75ILXOthjevXyvbTi4uKarLloVPbfWZB1UAUxdV/FSMUrlzO3KWLMbtIycIevKMqPAI3r4O5MnlqyBJSNEaLm7eYVBG2NmROVs26rZpxd0r17h49BgAa/6aS6mqlanauKElLiXNOLv/oLJduEypBHKmX1ThMy+qAKYeqvipxEvu0iXJXbqkQZr/3fvs+uWPOK29ih1a88Hnw6md2w+AsHfv+PrjQVw8ehyAw1u2p3vxO7lnn7JdpVGDZNdjy60+FfOjCmDqoIqfSpLwKehH15k/8eD0Oe6fPkdYcAgFqlaiaP3aBt6NLm5uVG5QTxG/dyEhljI5TQh9E2wQy7NKg/rJqseWhU9t9aUe5hbAlJIeBFAVP5UkI4TAr0pF/KpUNEjXj+6i0WjYtWK1sl+0fNk0s88SnDt4GE10NABFypUlc3YfC1ukkhD+dw7GSfMpVNcClpiOOQUwpa2/9IAqfiqpws3zF3h0+46y36RLJwtak/rcuXxF2a5Qp1ay6lBbfebFmMCZmt9ahdCaBNDWW3+q+KmkCg6OTgb7x3fsonmPrhayJvV5cu+esp23SKEkl1eFL2UkVeiSWp81iaEqgOZBjfCikioUKl2Sms2bKvvHd+5OlSV+rIXXL14q2z65clrQkrikdwcXcwtffOfQ/0tPZNQg2Kr4qZiF2Ks5CCHoNHSQsn9m/0H+/fFn3oWEpEsR9MqcWdkOCXqTpLK2+vAAy7f6LCVElhZBS3/usbHFe1gVP5UUE98yRkXKlaFJl47K/uo//6ZzqYr0q9WAM/vT2dtzTl9l+0kSYpvacnenpUlvLTBLkp7vk/hQx/xUko0pa/d98t3XvHr2nHMHDytpLx8/4ate/ShbswbuXh6EvX1HZEQE5WrXpMvwodjZ2d47WdFyZdm+dDkAl06cosOQgdy7eo37128S/v49QgjK1KxO7gJ+ShlbfFtWsR6sbfqDraGKn0qyMHXRWgdHR/4390+WTP+VY9t38uKRbqHcmAgwMVw+cQpPb29a9e5hVlvTgjLVqyrbZ/YdoFu5qoQEBcXJV6pqZT7o0olaLZuBjbf6rK3rzRL43zloVc4wKSGjTX+wvVdsFYtSK1f+JK/W7uLqSv+J45l3ZB8LTx6iUKyoMfoc37ErpSZaBN/8+ShZuZKyb0z4AK6cPM2Mz8bSp0otxo78lLOnTqXLMVAVFWtHFT8Vk0iO6Bkjm68vMzav49fN6xj/10yqf9DY4Li5FoBNa4QQDJ46CSdnZyXN2dWVGs2a0LRrF6o0rI+dvb1yLDQklGX/LqJtk6Y0rlGTOTNn8crf32z2pPcxHHW8T8bcre/0ft/oI2zxrTNniWJS34V/WtqMDIE5BM8YGo2GGaPHsm/teiXNwdGR6etX2XRQ6JdPnnLlxCmcXJypWK8Oru7uyrHAl/5c3bKTlUuWcufWrThlHRwcaNysGZ17dKd+40Y4OCR/VCK9d3lak/hZutvT3ON+ye36zOed5YwkSZXNakwqooqfilFSS/RiOLBxM9OGjVL2c+TNw6hffqR0taoJlLJtYhxcJEni9IkTrFyylE3r1vPu7ds4ebP7+tKx60c0a9WS4qVK4ZKEJZLS4u1dFT9DLCmAqeH0khwBVMUvDVDFz/xER0UR9Pgprx89oWrBIhQpVwZHJ8MoLW9ev+bpvQc4ODjg4u6Gb768cfLoI0kSZ/Yf5PWLl1SsX4dsvrrpALPGT1S8I0tXr8pXC+YYtJLSI8a8O9+GhrJ53XpWLF3K6eMnjJZzcHCgeMmSlC5fjjLly1O2QnmKlyyJs14Xawxp1W1lbvGTJIlXAW+I1mhwdnbCxdmRx0/8mbd0G1du3Kd0cT8G921N/jw5rE74QG39gSp+aYIqfubl9pHjbJz0HeFv3ylp7l5e1G7ZnBrNmlCySiV2LFvJwu+nER0VpeRxcHQkf7Gi1GjWhDoftjRw4wf4+dMxSremnb09ZWtUo2bzD/DI5M1Pwz5V8nUdOYzun41MzUu0OKZMa7h98yYrl/7HmmXL8X/5MsG8jo6OFCtZkjLly1G5alWatmqFVyYvq2/1vQ4K4c69J9y595Q7959yW/v/7v2nhIS+T7Csvb0dndvUp339nJQt5ou9veVcFiRJ4vWb9zx7GUxA0HuKl69Lgfw5cXdz4fnL1+zaf4bT529gZ2eHp4cbpYrlp2qlEhTI55t45cnAGlp/qvilAar4mY/IsDDmdepLoBmcLQqVLkmJypXI7JONF4+esHP5SpPKjfr5Rxp1ap/i81srSZ3PFxkZyf7de9i0di0Xzp7j3p07iZZxcXWlfZvm9O7ZhVo1qxosL6XRaLh77wHnL1zmwsUrXLx0laioaLJly4JP1qxky5YFb+9M3Lx1h6PHTvHkyTNy5PChVcsP6NGtIwUL5Ofe/YdMmTqNJ0+fU7pIDkYMak/+PDkSuY4oTp+/wYZtRzl9/ga37z0lMMg8S1t5e7pQs2J+6lQuQJ0qfvhm80y0zJuQMM5fe4aHmyMVSubGzk4YzSdJEut2XWHDnquEhIaTOZMrWTK5IQQ88w/h2csQnvmHEB4RFadsJk933oTE7caOoVQxP3p2aUL/Hi1wdDTfTDNV/JKOKn4ZmFq58nP5xCnGdeqmpJWuVoWXT57y8vETo2W8s2Ulq68vwYGB+D95ahY7ll86g0em9Dm/yBwT2YPfBHP5wgUuXTjPxXPnuXT+Avfvxh9FpnChAlSuVB5HRwfu3XvAhUtXCQkJTfb5XV1diIqKJjIyUpfm4sTIQR2oVqkEdnZ2PHrykoePX/Dw8Uv578kLnj5/jUajMfk8nh6uuLo4Ex4eSVh4BM7OjlSrVILGdSuyZfcJDh69GG/ZIn7ZqFPZjzqV/ahaNi/OTjpheeYfwq7Dt/h5/kHevpevoUxRX/79qRNeHvJYqkYj8dPcAxw+c58b9/xJ7cdi04aVWT53olkDOlhaAFXxSwNU8Us+sR1Zrpw8zdiO8moLxSqU4+cNq5EkietnznFo81YuHjvB/WvXcXBypEG7NgyaMhEXNzdAXsD1zP4DHNq0ldP7DxAVERnnfC5ubvy+fSNOLs4c276LY9t3cvn4SeWhmLdwIWbu2ISDo2MqX3nak5oRXN4EveHyhQucO3OGTWvWcu3KlcQLWQGuLk4UzJ+LQgXkv8IFclPILyeFC+QmW9ZMBi3W2Jw6d53Zf//LwVP38H8df+vK2cmBPL5e+GTx4Jl/MA+eBBnNV7uSH5/3q4O3lytrdlxm5uKjSboWDzcncmX3Iou3Gy9ehfDoeTBRUdE4ONhTo3JJGtatgKeHG/6vgjhz4SZHTlzmfViEUj53zmwUL5IP3+yZaVyvEu1a1k7w+hNDFb+koYpfBiAhz827V64yonkbAPxKFGfWjk1x8oQGvcHZ1QVHIw4WMbwNDuH84SO8evqMQP9XBPr74+jsTLOuXShctrRB3uDAQJ7eu09UZBRFy5XFySX+em2RtA5bJkkSD88f4d/FK1i5eiPBwXG7FrNlzUL58qUpX6405cqWwtPTg1evXvPqVQD+rwJ4/TqIHNl9qFmzCiVLFOPUqbMsXLyCM2cv8uqVvGSNr292+nf/gLWbD3H1xgOTbMuby4dG9SrSskl1ShbLTy7frClq7fjfOYgkSdy458+hU/c5dPoepy4/ITIyOtl1xkdWbzemj2tBRGQ0r4PeE63RkNPHk5zZvcjp44mnu+F9mzl/LZ69CMA7kweeHm5x6gsOeceX383n3+U7jJ7vi+Fd+N/o5Ec3Sq1QZ6YKoCp+aYAqfolj6lSFJ/fuM6heEwB88+Xln8N7U9OsdI8l4nXqO7m8e/eeAwePEvA6kIiICHJk96F8udLkyuWb7FZFwOtAXr8OpIBfPgi5RmRkFGs2HWTPwXM8fuqPRtKQL3cO8uXJrv2Tt/Pk9MHZ2bwtemOenu/eR3Dy4mMOnb7HodP3ufvotcFxVxdHShTyoWbF/AzsXJXp8w6xaP3ZeM/RpnFJMnm40K9TZXLnyGSybaZ4fEZGRjFywiz+W7PXaGSf8Z924/NPOuPgYG+kdOJYsvWnil8aoIqf+ebhXT97js/bdgagYKkS/L5to1nqzWhYKkh1WkbksPTcvhgSm+oQFPyeF69CeREQirurI6WL+hqMAQLsOnKLdbuucOdhAO/eR+Lh7kyJgj4M6V6dIvmzJcuupEx3CHwTyqFjF7l28wGbth/j0jXdYsgF/XLStEEVihTKQ/482cmfJweFC+Y26eVFFT/TUcUvlUntyeIp5cCGTUwbPhqAGs2a8L85tvG5WhOWXJ0hI4ofpK9J7sEh7+g26FsOHYvfoadMyYIs/XtCgh62qbnCgykCaGvip67qYCLWLmLJRX+VhRx581rQEtvD0ksSZaQ4jLHxKVTXagQwpRPcvTzdWL/oa36bs5bf/lpjdKrEpat36TbgG5bNnUi+PNlTdD4VmQwtfulV0JLCvWs3lO0ceXJb0BLbwdKiBxlb+GKIER1LiqC5Irs4ONjz2dBODOn7IYeOXeLcpds8fPyC+w+fc+Sk7Ml7+fp9ytbtT/NGVZk0picliqrPr5SQLPETQuQFFgG+gAaYI0nSb0KIycAAIGbG9ARJkrZqy0wDGgCfSZJ0QAjhB9wDRkiSNFObZxZwWpKkhcm+Ij1UcUuYNwEBnNi5W9kvobckj0pcrEH0VOJiiVZgaoUzc3N1oWnDKjRtWEVJ+3f5DkaMnwXInr1bd59g+95TzPllFJ3a1E8VOzICyW35RSGL2FkhhCdwRggRsxDbDEmSputnFkIU127WBRYCB7T7L4GRQoi/JUmKIAmowpYyIsLC+XbgMCLCwwE5Oostr6aQmlib6KmtvrikRSvQUvE7e3/UlFy+WZm9YBN7DspeqhqNhpET/qBj63opmhtoKulxodtkiZ8kSc+AZ9rtECHENSChPjN75BaiBOh/U/7AEaA3MNfU83s4xh9MWcU0Vs+ew9VTpwF5Lbruo9N3bM2kYG1ip48qfAkTW6BSKoaWDlgdQ5P6lWlSvzIHj13kw27/A+DtuzAqNhzEr99+Qr2a5Sxsoe2R4jE/bfdlBeAEUAsYJoToBZxGbh0GSpJ0RQjhBhwGxsSq4gdgmxBifiLnGQgMBPDJnSulZmd4zh/WRbPoOWY0VRs3tKA1lsWaxU4fVfiSTnLE0FoEzxh1a5SlTMmCXLoqh7e7e/8Zrbt/yXdf9mPw8KJGV/pQMU6KpjoIITyQuzC/lSRprRAiB/AKuYU3FcgpSdLH8ZT1AzZLklRaCLEI2AVUw4QxvyJly0i/blmXbLvTG2Hv33N2/0Ee3LiJZ+bMVGvSCJ9cOePNH/ommI9r1uOdNt7j3wd2xVmRIb1iK0JnDEuLnzVNdTAXMWJozYIXm9t3nzD0i984ceaaQbqXlycP75zFMZVCBSbW7ZlhpjoIIRyBNcBSSZLWAkiS9ELv+Fxgs4nVfQesBqzDd9lGeBcaypZ/l7JuzjyCAwOV9AXf/sjAKRNp2rVznDKSJDHvm+8V4cuZPx858+dLM5stgS0LXgyWFr70ii2JXgyFC+Zm5+qfuHT1Hj2Hfs+9B88ACA4OoWDRKlw4u58smb3Nft70Nu6XrCB7Qh5hnQdckyTpF710/eZGO+CyKfVJknQduAq0So49GZEdy1bSv1ZD/v1xuoHwAYSHhTFz7P84rufJGcP6fxawa8VqZb/H55+aNbK8NVDWK6vBn62jCp+KMcqULMChzb8apL0ODKJPv+GWMcjGSO5TrxbQE2gohDiv/WsB/CSEuCSEuIg8rWFUEur8FsiTTHsyFK+ePWPm2P8ZiF72PLlp2as7ufS6L2d/OZnICJ0T7Zn9B5n/zQ/KfoP2banb2vbfN9Kb2KlkXC5cucOn//uD2i1H0mvoDyxfu5fAN/EvR+Xp4cbBzb/SolljJW3P3kOcO29SuyNDk1xvz8MYem3GsDUJddwHSuvtXyD5YpyhEMIOO3t7NNFyJPuyNWvw9eJ5ODg6EhwYyNBGzQl6FUDA8xf8PPJz+k0cj7uXJzPH/k8JpluiUkVG/PhNmrhJpwYZReTUVl/GYf5/2xj1P114wUtX77Jh2xE8PVz5dHBHhn7cGjdXlzjlypUqxKrl/9C1xyA2bpZXjDh2/BQVypeOkzelpKeuT1VsbJCsvjloP6i/si+EUNbD88qcmSqNGijHDm/ZRt/qdelcsgKvnj0HIFPWLPxv7p8JLlFkbWTE1p0qfBmLP+dtMJoeEvqeqdMXU7nREJat2RtngeCw8Aj2HzjKkaMnlTRbjNmc1qjiZ6O07NVdabVdPHqMgOeKrxHla9dMsGz/iRPwzmb9ApLRxE4fVfgyHg8fv1S2f/9+GJPG9KJoId1I0JNnrxj8+QyadPiCW3ces3DZDrr0+5r85brSsk03Al7LwyBOTk60aN44Tv0qhmTo2J62TLacvrh5evA2OARJkrh37TpZfeWI73Vbt8LD25trp89w7fQ5rp85S3hYGHZ2dnzYtxf127W2sPXxkxGFTh9rFb30OM3B2ihV3I+zF28BoNFIfDa0EyMHtmfxyl18N2MpL18FAXD6/A0qNx4Sbz3fTBknr72YSqSXrk9V/GyUJdNn8FZvxW4nF91YgBCCSvXqUKleHQCiIiN59ew5Hl5eeHibvjhnWpDRxS4GaxU9UIUvrejUpp4ifvP/20bfbs1wcLCnb7dmdGxdl3a9JnHq3A2jZYsULkitmlVp26Y5TRrVS3Vb04MA2uR6fhl5knvgS38+b9fZYCmims2bMv6vmTbhvKKKnSHWLHqgCl9aEvgmlMKVexAVJTuyPbm8Eg93V+V4REQk46bOZcnK3URFR1OzSilaNKlGs0ZVKVr+A4vYrC+AGWaSu4plmDPlWwPhK1OjGp//9rNVC58qeHGxdtFTSXsyZ/IgW5ZMPH/5GoCgN6EG4ufk5MgvU4cybfIgoqM1ODmlTiSXjIIqfjaE/9NnHNq0Rdl3cnZm2A/f4ORifV6bquAZx5ZET231pS3h4ZG8DtLdH54ebkbz2dvbY29vn1ZmJYgtd3+q4mcjbJz/L3Mmf2OQtvT8CVzd3S1kUVxUwYsfWxI9UIXPEmzZdZyIiCgA/PL5ksnLen7bCWGrAqiKn42w9u9/DPY/7NPT4sKnil3i2JrogSp8lmLxyl3K9kftGiSQ0/qwxftcFT8bICoy0mAe36ApE2nRs1ua26GKnWnY4oMgBlX4LMODxy/Yd/g8oF1fs6M6Ty+1UcXPBrhx7oISsSGzjw8f9u2VqudTRS7p2LLgxaAKn+VYumq38htvWKcC+fJkt7BF6R9V/KwcSZIMxvoKli5p1vpVoUs+6UHwYlCFz3JER0ezZJVuBZZeXSwzbSGjoYqflXPh8FHuXL4CyN6dfcePSVY9qsiZh/QkeKCKnjWw99A5njx7BUDWLF60aFw1yXVEBV7CIXMZc5uWrlHFz8q5cPS4sl2lUQP8ihdLML8qcuYnvQleDKrwWQeLVugcXbq2b6jO30sjVPGzch7duq1sH9m6nT8mTGLQlIlUzOprQavSL+lV6GKjCp91EBQcytbdJ5R9tcsz7VBXdbByShYsZLC/bckyTv+3Op7cKkkhK8Fx/jICqvBZD8dOXlXCmZUrXYhihfNa2KKMg9rysxLi664s/vUUcubOxcK/5/LksRzWbNq331GuYkWq1Up46SIVQzKKuCWEKnzWxZGTuhXX61RXx+zSElX89IgRoIvBAalWd1JxcnJi0PDh9B4wgIZVqvH40SPCw8IYM3wEB8+eNrOV6RNV9GRU4bM+Ll+7p2xXr2xeT26VhMmQ4peYECVVqGLEMjWdTVxcXFi8djUNqlQD4P7du0RFReHgkCG/QpNQRU+HKnzWyb2Hz5XtwgVyWdCSjEe6f3KmhfdjWnlYFipSBHt7e6Kjo9PkfLaMKnw6VOGzTs5fvs19rfg5ONiTP2+OFNWnTndIGulO/DKSq39UZKTa8ouFKnqGqMJnfUiSxMr1+xn/jS5eb+O6FXFzdUmglIq5SRfenmW9sip/6R13Dw9l+4cpX1vQEusiI3lrmooqfNaHRqNhwKifGTj6FwJey/erq4sTU8b1saxhGRCbFb+MJHj6DB31qbI9/6+/ade0GTs2b0Gj0VjOKAujip4hUYGXVOGzUtZtPcKqDQeUfd/sWVizcArFi+SzoFUZE5sUP1f7jNvVN2TkCOo3bqTsnzlxkgE9etK4Rk3WLF9BZGSkBa1LW9TWXlxU0bNu9hw4o2w3qV+JU7tnU6taaQtalHGxSfHLyAghmDBlCl6ZMhmk375xk1GDh1C/UhUWz19AWFiYhSxMfVTRi4va2rMNQt/qfped29THy9P4au3JRb0HTEcVPxukeKmSHL98kWUb1jN45Ag8PHXjgI8ePuR/oz+jdvmKzJ31B29DQy1oqflRRS8u6gPPdvDJqntpfR2o3suWRBU/G8XD05Na9eoyYcpkjl26xOf/m0DmLFmU4y+fP2fqlxOpWbY8v/00jaCgIMsZayZU4YuLKny2hU82b2X75asgi9mhoopfuiCTdyZGjPmcoxfPM+nbb8iRM6dyLPD1a37+7ntqlinL95On4P/ypQUtTT6q8BmidnPaJpkz6XppAt+kr14ZW0MVv3SEu4cH/T8ZyuHzZ/luxi/kzZ9fORYaEsrsX3+jZtnyTPpiHE+1cUKtHXV8Ly6q6NkuD5/oXj6zZfFKlXOo94dpqOKXDnF2dqZH3z4cOHOKX//+i8LFiirHwsPCWDhnDnUqVGLMsOHcu3PHgpYmjCp6hqitPesm9O17tu0+yc59pzlz/ib3Hj4nOOQdkiQRFBzKsjV7mbNos5JfXcHBsghJkixtQ5IpW6GCtGX/XkubYTNoNBp2bN7CzJ9/4fKFCwbH7Ozs6NW/PxO+noyLi/VEmFCFzxBV9KwbSZJo3nkcx05fNSl/qWJ+7N3wMy7OTqlijyXCnLl7+52RJKlymp84magtvwyAnZ0dzVt/yJb9e1m8ZhVVa9RQjmk0GhbOmUObRk24deNGkuoNe/+ekGDzi5QqfDrU1p51I0kSZy/e4offlpksfD5ZvVny94RUEz4V01DFLwMhhKBeo0as3raFVVu3UKtePeXYtStXaFm/IcsWLcKU3oCD+/ZRKp8fpfL5KRPsM3KUmdRCDVRs3Qz+bAYN2ozmh9+WxTmWN5cPbq7OALi7uVC0UB6+HN2D4ztmUTB/zjj5zYn6wpQ4ardnBkaSJJbMX8DXE/5HeHi4kl6lRnWq1ayJh6cnbm5uuLm54ZsrJ1Vr1sTFxQWNRkPjGjW5feOmQX3lKlbkj/nzyOeXP/apkoza+tOhPsisk4DXbyhYqUe8x0/vnk2RQnmIiorGwcE+DS3TkZYvT7bW7Zlx44SpIISgZ7+PqVK9Op/068et63K356ljxzl17Hic/G7u7tRr2IBHDx7GET6AC2fP0qdLFzbs2omnV+p4sqmoWAtPn79O8Pijp/4UKZTHYsKnkjBqt6cKxUuVZPPePXTv2yfBfO/evmXbps1cvnhRSes7aCDDPhuNk5M8fnH7xk3+99nnKbYpAFU8Y1C7Pq2TwgVz4ezkqOxP/3owZUsVBCBfnuxULFfEUqYpqL0G8aN2e6oYcO/OHU4fP8Gjhw95/+4d79+/523oW86eOhVnWkTpcuVYv2sHTk5OrF2xkk8HDQbkFuX1J49wdUtZ3EK161OH+hCzTlp1+x+Hjskvg/N+H0PHD+vyKuANbm7OVrM+X1q9PKndnio2TYFChShQqFCcdEmSuH3zJnt27CDA/xU+2bPTsVtXpcXXvktnZvzwIw/u3UOSJB7ev0+xkiVTZEsAXqoAqlg1OXy8le3IiCgAsmXNFE9uy6Cu8G4cVfxUTEIIQZFixShSrFi8efwKFuDBvXsAXLl0OcXip6LDIXMZtfWXhvz291r+WbyFXDmzUr50YcqXLkypEn4ULZTHYIrCpav3lO1cOa13bVFVAOOiip+K2ShRujQH9sjd0WdPnaJ9l84prlNt/amkJn8t2Mj+IxdoULs8A3u3QgjBoeOXmPTDAkAOR3b89DUlf2ZvT/asnU6hArl44R/IjduPAHBycqBqxeIWuQaV5KE6vKiYjf27divbthpAWyXjcOLMNcZ+PZdte07yxZQ5rFi3D4B9h87FWyYwKIT5/20D4NBxXUu8SvliuLo4p67BKUTtOTBEFT+VFKHRaNi4Zg0dmrfg+lVdhIu2HTua7Ryq56eM2m1lXnbtP2OwP+uf9UiSZDBm5+rixPhPuxnku37rIYDi6AJQp0bZVLTUfKgCqMMmuz3fR0dZ2gQVZOEbMWAgG9esNUhv2rIlzVt/aCGrVFRM49rNBwb7l67d48DRi9SurnvJ8HB3Y9zIrtSpXoYWH40HYPeBs/z61xr2HDir5KtT3XZeTNTxPxmbFD+Ai8EBynZZL+sdaE7P7N25K47wNfygCVOn/Wj2c6ljfyrm5trNh3HSeg39nro1da240LfvAKhWqQQVyxbh7MVbAHz140Ilj4e7K5UrxO8IZo2oAphOuj0vBgcYiKFK2nD6xAllu2qNGhw+f46FK1fgmyuXBa1K32T0B5a5eB8Wzr2Hz+Okvwl+y6btx5T9mO5MBwd71vw7hWqVSsQp071jI5sMUp3Ru0DThfjFECOCqhCmDdl8fJTt3HnzmiWmZ0KoY38q8aHRaAh8E0p4eKRJ+bfvOaUEYi9WOC8r/plI1liLy+bLk52fvx6i7Gfx9mT94q8Z2KsV2bN54+bqTJe29Zkyro/ZriOtycgCaLPdnomhdoumPtl9cyjbga/VFw6VtOfH35cxb8k2/APeoNFocHR0oETRfPLcvDKFKVeyIL45spDJy52AwGCePH3FyXPXmTF7tVJH2xa1aNaoKuf2zWHb7hM8fPySAvl9ad64Gh7urgbnc3N1YdqUQfw0eSAgz3+1dTJqF2i6FT99VCFMHY4dOqxsFysRtztIJXVQJ7zLnDp3ne9m/GeQFhkZxcUrd7l45S6LVuxMtA7vTB7069ECgExe7nzUvqFJ504PoqdPRhTADCF++qhCaD7u39VFt3jz5g2SJKX6Q0F1fFGJYdY/6w32PdxdCX373uTy2bN5M+/3MeTwyWxmy2yTmBeqjCKCGU789FGFMGWUKV+OIwcOALB80WLeBAbyy+w/cffwsLBlKhmBy9fuK9vbVvxAzaqlCAoO5cLlO5y/dIfzl29z8/YjAgKDCXoTSmZvT3LmyEohv1zUr12OD5vWxMszZcHX0yMZRQSTtaqDECIvsAjwBTTAHEmSftM7/jkwDfCRJOmVNm0a0AD4TJKkA0IIP+AeMEKSpJnaPLOA05IkLUzo/EXKlpF+3bIuyXYnBVUMEyf4TTDtmjZV1gEEyJk7F/tOnsDN3T1Vz622/jK2swJAyZp9efLsFQCXD88jb+7sFrYofWKqCNraqg7J9faMQhaxEkB14BMhRElQhLEJoEyiEULEBL2rC3yiV89LYKQQwur8hPU9R1XvUeN4ZfJi6TrDeX7Pnjzl3Okz8ZRQUTEP4eGRvAp4o+x7qi24VCMq8FK6fNFKVrenJEnPgGfa7RAhxDUgN3AVmAF8AWzQK2KP3EKUAP1BIX/gCNAbmJscW9KK2AKotgxlfHPmpHb9ehzeL3d/Ojs7U6qcbYR6UrEtHj/1Z+WG/Tx8/JL7D58THiFPayjklwtvL7WrPbWJTwBttXs0xWN+2u7LCsAJIURr4IkkSRf0HR8kSboihHADDgNjYlXxA7BNCDE/pbakJcZagxlREEOCgzl++IiyP/Hbb/D29k7186qOLxnL63PFun0MHzdTETx9attQaLH0iK3egykSPyGEB7AG+BS5K/R/wAfG8kqSNDye9HtCiJNAN2PH9c41EBgI4JPbOiOIZEQHGhdXVzw8PQkKDAQMJ76rqJiDnftOM+izGRjzT7C3t6Nn58YWsErF1kl2hBchhCOy8C2VJGktUAgoAFwQQtwH8gBnhRC+JlT3HTA2IXskSZojSVJlSZIqZ8qSJblmpxkZZbzQ0dGRnv0+VvYP7tuXZudWI77YbpeTqbwJfsuwsb8rwlekYG7Gf9qNFo2r0appDVbOm0SVCuo6eipJJ1ktPyH3ac4DrkmS9AuAJEmXgOx6ee4DlWO8PRNCkqTrQoirQCvgZHJssmbS+3hhxSpVlG39uX8qKinlm5+X8MJf7lXwzZ6F7St/NFhySEUluSS327MW0BO4JIQ4r02bIEnS1hTY8i0Q/yqS6Yj01j16/vRpZdvRMUNPHVUxI+cu3eafJbpHyg+TBqjCp2I2kuvteRhDr01jefwSOX4fKK23f4F0FmjbFGy5VShJErN/+53fpk1X0qrWqJGmNqiOL+nX8WXi9wuU4NMN61SgbYtaFrZIJT2hvqZbGdYuhtHR0UiSRER4ON9PnsK/c/9RjpWtUIF+QwZb0DqV9EJQcCiHj8uCLoRg+pTB6S6epoplUcXPyrEWMdyxeQvfTvqK+3fvAvIDSd/7rkbt2sxduiTVI7sYQ239pT/CwyOV+8vOTqjdnSpmJ8N1M9o6sSPPpIU36b5duxjQo6cifICB8LVs24ZFa1bhlUn1vrQU6c3rM3s2b4oUzA1AdLSGBf9tt7BFKukNVfzSAaktgMsXLzGans/Pj6++/44/5s/D2dk5VW1QSZj0NuYnhGBovzbK/vY96c4JXMXCqN2e6YQYAUyNblE7O9070v+mTqHfkCFERUbi4uqaQCkVlZSRPZu3sq2O96mYG1X80hnmFsHo6GgePVBilOPq6oaDgwMODuqto5K6bNp+TNmuULawBS1RSY+o3Z7pFHONBy74628unpOnXzo4ONDwA6PR6yyOGu0lfRH69j0btx9V9ju1qW85Y1TSJar4pXNSIoAx8/hiGPbZaPLky2sOs1TMSHob7wNYuWE/796HA1C8SF7Kly5kYYtU0htq31UGILldoeHh4fi/fKnsd+7e3ax2qajoc+HKHZat2cvla/c4dFwn6F3bN1LH/FTMjip+GYikiqCLiwvlK1Xk/JmzABzYu4fuffqklnkqGZiLV+/SsO1nREVFG6Tn8s1Kvx7NLWSVaWg0GvYeOseTZ6+oXa0MhQokvOpMcMg7du47xaYdx7h15wmD+rSi90dNleOSJKlinwao4pcBSYoIZs+hW5TD2n+Q6mR322XG7NVxhK9C2cL88eNIPD2se5X2X2avZur0xQC4uTqzaem3VK5QzGjenftO03/kdN6EvFXSRk74g4J+uahQpjDfz/iPxSt3UbhgbiaM6kbjepXS5BoyIuqYXwYmsfFASZI4e+qUsl+xcpUEcquoJJ8btx4p25m83DmwaQb71v9CqeJ+ljPKBKKjo5k5d52y/+59OD2GfEfgm9A4eY+dukKPwd8ZCB/Iv7PBn/3CiPGzmDVvPW9C3nLmwk069JnMvsPnU/sSMiyq+GVwEhLAB/fu8crfHwAvLy+KllDXTbM20ouzS2FtNBeQ1/DrOeR7AoNCLGiRabx6HUxQLKF79uI1Hw//ifBw3arzz1++pvcnPyor0WfJ7Mn4T7uRJbMnAI+fvmLNpoNx6j98PH18v9aIKn4q8QrgqeMnlO1K1aoaTHZXUTEnA3u1NNh/+PglC5btsJA1phP69r3R9L2HztF3+I9ERkYRERFJ32E/KesSZs3ixb4NvzBuZFc6ta6XYP1v34WZ3WYVGfVppgIYF8BTx48r21WqV09Lc1QyGMYCV9978MwCliQNN1ddWL/s2bwZ/2k3ZX/LrhM0aDOaeq1HcfTUFUCOljT/9y/wyyuPpdevVT7B+iuXL2p+o1UAVfxU9IgtgHdv3Va2f5r6DTeuXUtrk5KMOtndNlm/9UictF5drDOggj76zjiBb0IZPaQjIwa2V9IuXbvH1RsPlP2Jn/egfq1yyn6juhUp5Be/d2hi4qiSfFTxUzFAXwD9ChYwOPbjlKlpbY5KAphzvC8k9B07951m6erdHD991WDVjrTg0VN/g/0/fhpJ1YrWP8bs4e6KXz65FRcZGcXFK3f5elwfPtELyg1yi2/K2D6MGtzRIN3Z2ZGlf08gl29WMnm689t3w5Rjri5O6lJOqYg61UElXsZ+NYmVS/9T9ndv387COXOp27ABBQursRbTA9duPuD3OWtZv/WIElEF4IMGlVk5b1KaTW/Jm8tH2W5UtyI9OjVOk/Oag2oVi3P/4XMATpy9RuUKxfjuy/60a1mbvYfOkS2rN43qVlC6OmNTomh+rhyZT1RUNI6ODoyZ/BcREVG8D4sgKDgUby+PtLycDIPa8lOJQ0zrzyd7diZ+Y9jam/TFWBpVq8HGtWstYZpKCpjwzT/4VejGwFE/4/8qiJDQdzTpMIb/1uw1ED6Q56Odv3wnzWxr07ymIrR7Dp5l577TaXbulFK1Ugll+/hp3dBAlQrFGTuiK/26N49X+GKws7PDyckRIQTFCudT0nfvP2N+g1UAVfxU4iFGADv16E7+Aobdn9HR0Xw6cDBXL122hGkqJL3LMzIyitkLNhEYFMKK9fspXKUnFRsMIiTUuLciyO74G7YdYcW6fVy6ei+lJidIiaL56f2Rboxv/NR/iIiITKCE9VBdT/xOnLmW4i7jNs1rKtvrthxOUV0q8aOKn0q8XAwOwNvbm017dzN6/Djade6ET44cAERFRfHlmDFoNBoLW5nxSM5Yn6OjA4Vjhd16+SrIaN5PB3fg4YXlfNR/Kr2G/sDA0b9Qu+UIps1ckRxzTWbiZz3J5OkOwO17T1i+bl+qns9clCiaD08PeW3LF/6BPHzyMpESCdOuRW1le9f+MwSHvEtRfSrGUcVPJVG8M2fm07Ff8Nucv1mxaQOOjo4AnD5+gnl/zrawdSqmsuSvCYnmqVmlFFPG9uF9WLiBlyLAD78vS9UHcbasmRg1VOcQsmjFzlQ7lzmxt7encnldOLOTZ1LmFV24YG7KlJB7W8IjItVV7FMJVfxUEiT29IfCRYsyYNgnyv7ULycy6YtxhIZYTzSO9DzdISUensUK5+XO6SWMGtIRL0/j8TI1kobDxy8x4Zt5cc8dFc2tO4+TfX5T6N3lA2Xs78yFW7wJfptICeugfBmdA9jte09TXF/blrrW3/qtatdnaqCKn0qixBbAkWM+p0JlXcDdhXPmUK9yVbZs2MDv06ZTpUQpBvfuQ8CrV2ltqkoiZMuaiclf9ObRxRUE3FrPtWMLDY4fP32Nll0nGA21BWBnn7qPjCyZvShbqiAgr5awfO3eVD2fudAf53NyckxxfQZdnwfUrs/UQBU/lSTj6ubG4jVraNBE547u/+IFQ3r3Zfq33/Hi2TO2btjI0D4fW9DK9Id+qy8qKjrFjhUODvZky5K0VrKHm0uKzmkKbVvUUra/mDKHEeNnGcTJtDYkSeL8JZ1nrH7Ul+RSqEAuypSUXwIiIqLYf+R8iutUMUQVPxWTiN3688rkxcKVK/h97hwcHIxPF7WFiDC2yNmLtyhWvTela3/MsjV7UySCjo6mT/VtVLeiQQDq1GJwnw8Nop78u3wHP/6+LNXPm1xWbzygiJMQgjrVy5il3lpVSynb9x48N0udKjpU8VMxmdgCKISgbaeOrN62xWj+nLkSXtRTxXT0W32LV+7iVcAbHj99xeDPZ9Co3ecs+G87Aa/fJLleIQQODvZx0mtXK02d6mWoXa00LRpXY8lfE1izcHKaTHp3c3Vh64rvaVingpK2ZNXuNI86kxiSJLF55zFGjJ+lpA3o2ZLSJQokUMp08uhN/H+UQg9SlbioEV5UUkzFKlX49pef2bBqNSePHVPSm7ZqmUApFVOJ7eQSu1vtzIWbnLlwk0//9wd++XwpXdyPUsX9KFnMj9LF/SiQ3xd7+7gCB3DkxOU4i8h+OboHY4Z3Me9FJBHf7FlYveAr8pb9iLfvwnjhH8izF6/J5Zv4AsypzZvgt6zaeICFy3Zw6epdJT1f7uxMGtPTbOfJmzu7sn391kOz1asio4qfSpK4GBxgdAX4nh/3pVrNGjSuLk/Qtbe356OePdLavAzB6CEdWbflME+exXUouv/wOfcfPmfzTt2KHK4uTpQomp9SWlEsVVwWRe9MHoz68s84dZir5ZJS7O3tKV+6EEdOyisiHDhyga4dGlrMHo1Gw/RZK5nx1+o4EXFy+WZl3aKvzbrqvH5s00PHLzHjr9VxYoOqJB9V/FSSTHwCuHTBQmX7gxbN8VW7PVOMsakNWbNk4viOP5jx12p++XNVonW8D4vg7MVbnL14y6RzOjoabyVagiYNKivit3nnMYuJn7za+gxWrN9vkO7i7MRH7Rvw1Re9yeLtadZz5vLNSruWtZUoL5N//JcGtctTvrQaV9ccqGN+Kmbh3du3rFm2XNnv0U/19ExNvDzd+GpMLy4fnkeXtvXjzefi7JTkuuNzYLIEH35QQ9netf+M0dZuWvDb32sNhK9Y4bxMmzyIGyf/5bfvhpld+GKY+cNwgzmE+w6fT5XzZERU8VNJFrGdXzauWUtwcDAAfgULUqtuXUuYla4wZUJ73tzZmTPjM/ZvnEHtaqXjHA9PRnzMVwFBSS6TWhQumJsKZeWHf3hEJLVbjmDm3HVpasPh45eYMm2Rst+jcxOObpvJwN6tUn3FBU8PN6rpdX9u3nE83tXjVZKGKn4qKUaSJBbPX6Ds9+jbBzs79dZKSyqUKczmZd+xbM6XFC6gm46QmIekEFC6uB+D+36opO09dC7V7EwOX47WjR2/Dgzhy+/mc+bCzTQ5d3h4JCMn/KHEsK1RuSQzpg4x6iGbWlSrXFLZPn3+BpN//DfNzp2eUZ9QKilm+eLFXDp/HgBnZ2c6de9mWYPSAckJYyaEoEWTahzfMYvJY3ub9AIiSXD5+n127tUtIbR09R7ylf2Ieq1HcffBsyTbYW4a16tkEDsTSLPWz69/r+b2vScAeHq4Mn/mF2aJ4JIU2resbdC1ffiE+RYxzsio4qeSIh49eMjXE75U9nv170fmLFksaJGKo6MDowZ3ZGjf1iaXiS1yb0Lecv7SbRq2/czc5iWLwCBd7Fi/fL7KRHL/Owfj/JmLZy8C+PkPnUPRpM97WWSqhRCCLu0aKPupNb6Y0VDFTyVFzPjhR96GhgJQqEgRxnz5PwtbZPukJHi1PmNHdlXiZJqKi4uhg0wmL3ez2JJS8uXRzXmrUbkkAfcOxyt05hLCJat2K2Om5UoXol+P5imqLyXoLx32PizCYnakJ2xS/EIj1S/fGggPD2fD6tXK/g+/zsDF1dWCFqno4+Xpxu4105n32+cM6duanDkSb5F/8nEbg/2c2a2jFT9yUAdl+9SZCyaXS64QajQalqzarewP79823kABaUGl8sWw1wYVP3vxFjfvPLKYLekF6/FpTiJHnj6Ik1YrV34LWJJxCQ8LJzJS501YuXo1C1qTPjBXqy8GZ2dHOrauR8fW9Zg6vi/rtx5m3ZbD3Lj9mGcvAnj7Lswg/+vAENb+O4X2vb8C4PSFm7zwDySHT2az2pVU8nv6K9sPnwah0UjY2Qme+Ycw6ded3H8SiJeHC/07V6F53WJG64gtgD6F4vdIPnPhJvcfyvE0M3m606ppjXjzpgVZvD0pXCA3N27Lonfn3jOKFsprUZtsHZts+cXHkacPjIqiSurg7uGOd2bdQ/GL4SO4cfWq4mEoSRLnTp9m9bLlHD14iPfv1GVZEsLcwhcbR0cHOrWpz39zvuTM3r94cnkljy6uYNKYXkqeBcu2G3SxRUZGcfnavVS1Kz70W22eHs5k8Zajp0RERvPMP5joaA2fTF7PvhN3ufc4kAvXnzH86438PP9Qkuo3xquAYGW7XJlCuLqkfKWGlHDt5gNuatdSFEJQuoSfRe1JD9hsyy8hYgRQbQmmLvb29vQZOIBff/wJgFX/LWPVf8vImy8fDT5owu0bNzl6SPcgcnF1pX6jRjT7sBWNmjYlk3emVLErK8GJZ1JBCIGXpxujh3Rk/5HzHDx6EYBps1Ya5Cvol7aReuITJL/c3rwOkl+g7j8O5NGzN1y8EXe1g9n/Hefuo9fMnNgaO7vEA3HHnE+/JZg/bw5l+9ET/zhl0prvZvynvFQ2bVDZIO6nSvJIl+IXw5GnD1QBTGWGjvqU82fOsH/3HiXt0cOHLPon7krgYe/fs33zZrZv3oyDgwP1GzemUJHCODs707ZzJwoXLZqWplsVqd3qSwghBOf0Qp+dOKNbiipfnuzky+1jrJjZSWxczi93Zs5ekVdJv/8kkOBQXXzNEoV8yOTpyvHzcgDoHYdu8vuiI3zap7bRuhI6v0+huvjly4GdnR0ajYZ7D55x/dZDihfJl9RLMgsPHr9g4/ajyv74UepUInOQrro9jaF2g6YuLi4uLFixnFnz5tKybRs8PONGvKjToD6FixYxSIuKimL39u38PXMWv0//mQ8bNub506dpZLWKPlFR0YSEGp83N2pIxzRx9DDFIcUvt66LXRY/3Xhly/ol+HOyobPOrCXHkrUMkv+dg7i5utC8URUl7fc5a5Ncj7k4euKKsq3G9jQf6brlF4PaDZq62Nvb07pDB1p36EBERAQnjx3j8P4DREZE0LRVK6rWqA7A7Zs32b55Czs2b+HC2bMGdbwNDeXalSsZMhi2JVt9QLzRSnLmyELvLh+k6rmT4oWZ30D8giiS33DOnZeHC9PHteDzH7Yqad/8uZeJnzRKll29WxViy64TAGzZdQJJktJkPcPYhITqxsr1o/eopIx03/LTR20Fpj5OTk7UrlePcV9NYuK33yjCB1C4aFGGjR7Fpr27mbfsvzjlSpcrl9bmWhxLC18MTepXipNWvnThVG31JXX6gX7L78GTQBzsdY+v92Gy13HbxqVoWV8XC3P5lotERBquV2gqFUrmIrOXPHUn6E0od+5ZpmciIjJK2bamFTdsnQwlfqAKoDVw/swZRg0eYpA27qtJ+GRXB/EtRdbMXnHS3N1dUu18yZmArt/ye/QsyGD/0k2d48v0cS2U7fCIKK7cepEsG4UQlCueU9nfu2NDsupJKW5uOk9TfS9UlZSR4cQPVAG0JGdPnaJ7u/YEv3kDgLOLC9Nm/k7/T4Za2LK0x1pafQCZjYTMcnM1v/ilJPKKh5sTPlnkiDORURoyZ9IFVDh/7SkajTy+5+hgT7smpZRjG/ZcTba95UvqxO/c1admDZ9mKiWL6oZrrly/n+bnT69kSPEDdU6gJTh94gQ92ncgJFiO05g5SxbWbt9GFzOu+K5OczAdSZL49a81NO30BbMXbIxzvGihPGY9nzmEo0wxX2X77sMARQCDQ8O5++i1cqz9Bzrx23XkliKMSaVCCd0Y9J7jd4iMijZ7DNHEKKEnfjfuPCIiGctUqcQlw4qfSsqJvaZfQty9fZueHToRGiLHAc2SNSvLN26gTHnzjvMFELf7zlpxyFzGYueWJInvf/2Pr35cyPHT14zmKVMyaXFB04ImNXVew5v2XadcMcOWWQxVyuZVxutevAo16BZNClXK5iVbZjelnt1HbyernpSQyctdiW0aFRWtTHZXSRkZXvzU1l/a8MPkr5UA2Nl8fFixaQMlSpdKpFTysDUBTG0RlCSJ1RsP0LnfFFp+NJ7W3f9HhQaD+PH35QmWK2PmKCIJhRMzlUY1CymOLlduvWD/ybvKsRv3dJPRHeztaFijkLK/87BuHmNScHSwo1QR3YT3vcfuAOa5lqRQungBZVvt+jQPGV78VFKGKa2/J48es33zZmV//vL/KFayZAIlUo4tCSCkbitww/Yj9Bs5nR17T3P4xGUOHL3IPSPr9Lm56hwrPNxdyZrF/BF4UioaWTK5Mbir8Riynu6GIcia1NK1EncfTbr43X8cSNOP53PgpC68m6uLY5oLH0Cp4n7K9mVV/MyCKn6orb/U5sljXTdN2QoVKF8prlt9amCLApgaIrh4xa5E87i5ObPoz3G4u8lOLqFv33Phyh2z22IOhvesSf2qcbtkc+cw/L5rV8qPk3ZqwJ2Hr7l5L2lhyv5eccJgHDGTpzujRw5KhsUpR1/81JafeUiW+Akh8goh9gkhrgkhrgghRmrTpwohLgohzgshdgohcumVmSaEOC2EqKfd9xNCSEKI4Xp5Zgkh+qTwmpKFKoDJJ7HW37u3ocp2asXzjA9bE0AwfyvQxdkp3mMVysjRQt69C6dL/6kUzK8bQ/teL56kOUlpy8ne3o5ZX7VmVJ/alCueE3s7gV/uzAbdnAAuzo6UKKSbPtNjzEoio0yb8/fkxRs277tukLZh6TcUMbMTkKmUVsXP7CS35RcFfCZJUgmgOvCJEKIkME2SpLKSJJUHNgOTAIQQMbNO6wKf6NXzEhgphIj/16liEyQkgEGBQcq2h0fc8Gepja0KoLlEsHIF40v8uLg4ce6SzoEjOlrDJb0VHLbtOckvs1cbK5piUiqALs6OfNKjBmtm9eDqttHsWtiPLJnc4uTr1Ez3Gb4OesftB4l3099/EkjvL1YpE+fz583B0yurlBcFS1DQLydOTnJArucvXxP61ng4OhXTSZb4SZL0TJKks9rtEOAakFuSJH0/c3cg5rXRHtBo9/XjA/kDe4DeybHD3Kitv9Th4N59ynaBwpZ5gNiiAIJ5WoEf1K8cJ83J0YEwE1YEnzp9MbsPnEmxDcYw19iZvb1dvGHHPmpVjkyeuvmKL16FGhyXJInIqGgkSeL+40BWbbtE55H/cf9JICCHfvvn18+V7mBLYW9vj6ODLhplarTIMxopju0phPADKgAntPvfAr2AN0ADAEmSrggh3IDDwJhYVfwAbBNCzE/kPAOBgQBevmokEGvkYnAAZb2yxkk/pres0QctmqelSQYE4GWT8wBjBDC5k+JLFfejdMkCXL4qt+pcXZx4rxU+n6zezPv9c2pWKcXA0b+wdrPhWniSJNFv5HT2b5xBgXy+ceq2BepVLcDGPfJ0jhFTN1KnSgHaf1CKyMhoJv66izehYWT2ciUgyHC9SRdnJ+b++hlVKxY3Vm2aEx2tW2fR3l5110gpKfoEhRAewBrg05hWnyRJ/5MkKS+wFBgWk1eSpOGSJFWSJGmvfh2SJN0DTgIJrtMhSdIcSZIqS5JU2c3bOyVmJ4ja+ksZxro/Q0N1b9sennEjiaQlttoChJS1An+cOEDZfq/X4mvdvAavXgfT6eMp8S5aG/QmlB6Dvo2z6rs5SAvPyX4dqyiOL+/CItlx6CaDJq5j2NcbCQx+j0YjxRE+70webFz6Da2b1Ux1+0wlWm+RYXs7NcZnSkm2+AkhHJGFb6kkScbW+/gP6GBidd8BY1Nij4r1UriYbp2+zz8ZRth7y45XZEQBrF29DF3bN4yTPm/JNj4e/hP7Dp9PcPL05ev3GTF+plU6wCRGqSI5+HtqO3x9En7xcnd1pEn9SvxvVHdO755NtUolUtWupKL/2UdFJy9Yt4qO5Hp7CmAecE2SpF/00vUXbWsNXI9d1hiSJF0HrgKtkmOPuVFbfykjdutv9Phx2NnJt9r5M2f58eupljDLAFsXwOSI4Hdf9lMihZhKeT0nj9UbD7Jrv3WP/8VHncoFOLBkIOv/7Bnn2PRxLdj0d2/unlvO6gWT+WLER/hk805Ve5KDfrfzpat3E8ipYgrJbWnVAnoCDbXTGs4LIVoAPwghLgshLgIfACOTUOe3gGX8iFXMjr4A1qlfn0nffavsL/h7Do8ePLSEWQYE4GXzIpgUsmT24vuJ/Q3SihfJS5P6lejXozl5c8Vdsf3ilbu0bVFL2V+/9XDyjDUBcwtgQNA7lm48x45DN5EkCXt7O0oX9eXLoQ2xtxNkz+rO9HEtaNu4FHU/6JjglBBrQL8l+uf8jarTSwpJrrfnYUmSRMy0Bu3fVkmSOkiSVFqb/qEkSU8SqOO+JEml9fYvSJJkJ0nSwuTYZG7U1p956TtoINVqyuMnGo2G+X/9ZWGLdGQUAYyOjkZg6BV5/dYjPmhQmVGDO7L8n4nky23YMtRoNNSupjtHakcXMacAjvxmE1/9vptPpmwwmLPXp30lTq8dzuFlQ2jbuJRFIrYkhw4f6uzcsO0I9VqPYsF/29HojQWqmI6wxbeHnCWKSX0X/pnq51FXfk85+t6f+3fvplfHzgC4ubuz7+Rxcua2npWpbdETVJ+EvEFfBwbTqvuXXInHqSWGUsXz06B2Bd6HheP/6g01q5ai44d1KVa9t+JtuH3lD9SokjpxWWNI6aoJoe8iKN/6N2V/aLfqjP64jkEeWxE9fUZOmMXCZTsM0np1+YDfvx9mkVXm9clU4MMzkiTFnVdjpagOJgmgtv5Sjn73Z71GjShWUu66eff2LbXKVeCTj/vx8L51fM623AKE+FuBGo2GbgO/TVT4AK5cf8C/y3dQq1oZ/v1jLEP6tsYnmzftW+mE48vvFqR6l5tPobopEqdDpw2v1c1V16WZ0rotyQ+TBtC3WzOcnRyVtEUrdrLv8HnLGWWjqOKnkmYIIZgwZbLyhhoVFcWmteto17QZQUFBljVOS3oUwEPHL3HsdMILuubOmU3ZDgl9z9fTFjF30RbCwuVpEV+N6aVEGDl9/kaaxf1MrlCt3m7YCq5dKb9Ni14Mri7O/PrtJ9w4uYhK5XRe1CfOGF+WSiV+VPFLBLX1l3L0W38NmjRh1vx/yJtf16Xs/+IFm9YYmy1jGdKbAO45eM5gP3fObBQrnJf8eXPQullNbp9azNWjC9i7/meyZpGv/f7D53wxZQ6DRv+CJEnkzZ2dD5vq5rwdO5X81dGTg6nCFRWtYefhmwYrMQghqN+sU2qal+ZkzuRBt46NlP3Hz15Z0BrbRBU/lTTnw3btOHz+LK07tFfSXgeYvjBuWpBeBDAyMiqOh+bWFd9zctefXDz4D4tnjycsPIKWH42nYdvPCHhtOO65fusR5i3dBkA1vUgnh45dTOUrME5CIvj2fQRdRy1j6OQNBumTxvS0+HhYapBHr7X+5GnSVqxQUcXPJNTWX8qJPfdPCGHwQMrqE9fN3tLYugB++8cO8pbtwoNHL4we12g0bNh2hEbtPufwicvx1vP7HLlVXq9WOSVt255TPHhsvN60wJgITp21x2A19xiqV0rdtSMtRe6cut/M0+fW9fJoC6Q4tqeKiqnox/6MiIjg2OEjyrFSZUrHV0wliUiSxJx/FvPT9FlGjz9/8RqfrN70GPwdew+dM5pHnzIl5bXzihfJR50aZTl07CIajYb1W44wclD7REqnHuu3HmHJqr1ERkaTz8eO1TviCnieXNmoXL6okdK2T+6cOk/qR09eEh0djb29GvbMVFTxU0lzJEnim/9N5OXz5wB4Z85M6XLlEillGWwtGHZUVBTdew1h89b4F7Ad/eVsKpQtbJLwNW9UlUV/jFX2WzetoXR5/jZnDZ3a1COXb9xg5qnN+7BwBoyaTkREVIL5Hj99xaVr9wycQ9ILmb09yZkjC89evObd+3DOXrxFlQrWEYTbFlC7PU1E7fo0DxeDA9i1dRsL585V0kZ+MQZHR8cESlkWW+r+vHjpaoLCB3Dlxn2WrNqt7Ds56t6BXV2cDNzoz126bdA93bldfXLmyAJAwOtgvpjyd5pNspYkiQ3bjtCkwxhadBmfqPDFMGzs70SZuIitLSGEoHplXZfuZ5P+4vnL1wmUUNFHFT+VNGf54iXKduNmzeg7aKAFrTENWxHAYkULU7Kk8cVr4yMiUhaRzN6eXD26gKdXVilen89fvubcRd2Ct95eHvz6rW496k3bj/Fht/8pUyLMwZadx2nY9jNqNBtGnVYj6dh3Mn/MW8+eg+foNfQHTp69ztmLt+ItX7q4H3VqlFX2r954wIRv/kmX4cAG9/lQiZt74fId6rcepa70biKq+KmkOa/fv1W2m7Vqqfx4rR1bEEB3dzf27ljDqJGDyJMnV5LKNm1QmSyZvXBwsKdZwypK+tothmv8fdCgskGcycMnLjNf6xFqDiZ8O48zF25y9cYDLl65y679Z5jwzTyGjvk13jKfDe3E8R2z+O7Lfqyc/xXrF31No7oVleN//7uZZp3HsnL9fiIjTWsx2gLVK5fkl6lDlN/Qsxev6THkO969N//yU+kN23jqWAlq16d5KFJW59yyad06C1qSdGwhGLanpwffTBnP9UtH2Ll1Jb17dmHk8IHMmf1znLwODjoHiYZ1KijbbVvUVrYXr9hFSKhuvTs7OztWzf+KVh9UV9LGT/2H3+es5cDRC/G2sDQaDTduPyLwTajR4wB37j/l/sPnRo+98A80mn5mz19MGtOLEkXz80m/tuTOmQ0HB3tWL/iKVk1rKPmOn77GgFE/0673V0RERMZrg63Rt1sz1iycjIe7KwB37z9jw9ajFrbK+lHFTyXNadKlkzKOdGDPXl75294cJWsXQJDHhGrVrMqfM3/ku6kT6NyxtUErO2sWL/R1qn7t8sp243oVKeQntxzfhLzlr4WbDOrO5OXO798PM1hRfOL3C2jd/UumTFsUx5bbd59QudEQqjYZil/5rpy/fDtOHoBpM1ck6RpbNqlG4YLG48Pa2dnx76yxDO7zocG45aFjF5n0w8IkncfaaVinAsMHtFP2T5xVI74khip+SURt/aUc33x5KVFJ1yV19uQpC1qTfGxBAPVxdHQkd66cyv7nn3QmWrsoaunifuTwyawcs7Oz49PBurWof5+zlteBhl6vWbNk4kO9llUMC/7brtQbw7qth7lzXzcHr+fg743a6OnhZtK1ODk50LlNfWb9OCLBfA4O9vz41UCuHJnPwF665UJnL9jI2s2HEihpe5Qspoua9OKl8Vayig5V/FQsQpFyuhBcWzduSiCndWNrAtiooS5A9Zadx5Xt4kXzxcnbrUMjimhbVcEh75j685I4eX7/fjgjBranR6fGSlrQm1BWbThgkC+2SD588pLrt+Ku6Th2xEf06NwkXvtbfVCd4ztm8ejiCub++hlZMpv2+efOmY2fJg806KodPm4mN+88Mqm8LZBdbwHe+LqIVXSo4qdiEao10cUlXLtiBTevX08gt3VjSwLYo1tHZfvKjfvKtreXR5y8Dg72fD2ur7K/4L/trNtiGCotk5c7U8f35Y+fRtK/Rwsl/fOv/jJoKRYvko+Fs8YalB339dw444PZsmbijx9H8ObeJq4dW8i838dQoaxuNfkLl+9Qomj+ZC08K4Tgz2mfUtBPbv2Gvn1PzyHfE/r2fZLrskb0V5/3fxVkMTtsBVX8koHa9ZlyytasTuWG9ZT9lUuWWtCalGMrAli+nM7Z6E2wzoklPkeV5o2r0rShvESbJEkM/mwGt+48Nlr3xDE9lcVwQ0Lf07bXJG7c1rWs9FeEB9h3+DxLV++J19Zcvlnp+GFd+nXXiaqwS1mMzkxe7iz6Y7wintdvPWLkhFnpYhqEfrf1C//AdHFNqYkqfioWo1Xvnsr23p07LWiJebBmAZQkiYOHjvHJyHFKmv7k9Ft3n9Cx72QexwqQLITgr+mjlO7PsPAIRow3HjbN28uDyeP6KPsXLt+hUbvPuH33iVLXR+0aGJT5Z8mWRG1fsko3ab97x8YJ5NTx7EVAvB6dZUoWYMa3Q5X91RsPMndR4nZYO+5uLsp2eESkKn6JoIqfisUoXU03l+zunbtERJhvorSKDkmS6DtgJM0/7MqKlesNjtnptaR2HzhL9aafsHDZDoMHZ5bMXiyYOVaZFnH01BUePXlp9FztW9bm63F9lbwhoe+p1vQTmnb6gnL1BrB83T6D/Bcu3+VN8FtjVQFy993Jsze0ttoxoGeLePPG8Of8DZSt259/l+9k6JhfuXQ17iK+3To0ok/Xpsr+hG/nceqc7Xa9AwaBBpydHG1m/qylUD8dFYtx7fRZg/20CpOVmlhj6+/EybOsWr3R6DGNRha5GAkMCX3PyAmz6Nh3Mq+DQpR8ZUoWMAgQfTOerk8hBCMHtWfJ7AlKWlRUNMdPXzM6f0+j0bB87V6jdT17EUCnflOU+6JqxWJkzZIp/gsFLl29x/ip/xAREcXnX/3F0tV76DpgqtExsB+/Gki50oUAeemn3p/8yKuANwnWb828D9OJn4tL0sdEMxqq+KlYhEvHTzCp58fKviY6mpsR8bcAbAlrE8Cdu/bHSatTqxpOTnoPSCHIk0u3RM7uA2f5sOsEwsN1XYdFCuZRtuMb94uheeOq/P79MFxjPYTleJQlqKq3NuCkHxYye8FG3gS/5drNB6xYt49RX/5JtSafGIRWG9T7w0SvddY/cYMmPHrqT6+hP8TpBnVxdmLRn+PwziQ7+zx59op+I6fHmaZhKxhErpFQuz0TQRU/FYtw8eiJOD/ODfMWWsaYVMCaBPD02fMG+88fXWb7lhWcPr6TypXk1TQkSSJ7Nm+G9W+r5Lt8/T7L1+laZSX0pkNs25P43MzeHzXl1qnFHNg0g63Lv+fY9lk8v7aaHat+YuPSb5R5aWHhEYz7ei75yn1E9abDGDj6F+Yv3cabEPllyM7Ojl+//YT2reokdDqePg9g9aaDyv7YER8pk9uPnrrCZ5P+inPP+eX1Ze6Mz5T9/UfOM+sfw8VwbQWfrJnI5OUOyIEJzl0yHkhARUYVPxWL0Lz7R5SuXtUgbdGPP3PGP+5ipCrJR5Ik9uw1nMwdECDPAStU0I/5c3/DWev5ePbiLbq2b8gXw7soeRcs265st25WUxlH2n/kPFt3nUj0/J4ebpQvXZha1UpTsphuioKrizMLZ40lt95q5MZwdHRg1YKv6NutWaLn2rX/tLJ6Q7VKJZgwqjuTv+itHF+0YqdRx5YPGlRmzDDdNU//YwUBr22v+9POzo7mjXS/KXPGW02PqOKnYhGy5MjODyuX8te+HTholzMKDwvj5oVLFrbMfCTU+pMkiWk//8HQ4WPZd+BIvPlSyvPnho4p2bJlJXduX2W/UEE/Wn+oE5blWy4y5OM2yv7la/eV7sK8ubMbBLzuOvAb5v+X/AdsscJ5Ob1nNtO/HkwWb08AhMAgFFlkZBQXLt8xqT43V2dl2zuT3AIaOag9XdrWV9LHTZ3L/iMX4pQdO+Ijgwn902atTPL1WAO9P9I58ew7nPh6jRkZVfySiTrXzzzkKVSQhh3aKvsndu3mYnCA5QwyM8YE0P9VAB6ZCzB56jT+XbyCPv1GpNr4TOzxqwX//BZn7cQ2euI3849/DLrLIiOjuKYXiWXalEEUyJ9TaQGO+t+fTPx+QbLHydxcXfB0d1WcayQjY1V7D541VjQOpUsUULZPnLnO+7BwhBD8/sNwZTHb6GgNvT/5gafPDe8xR0cHJo/VtRL/WbKVuw+eJeuaLIl+QIBnL16nqwDe5kYVPxWLox/tZft/K3gbHJJAbttDXwCfPn1Oow86GBz3zeETu4jZyJMnFx3bt8LZ2Ymff5pCw/q14+Tx9zcUgh9nrTfY33fovK6+XD5sX/kD1fQcVn6fs5aeQ743cI5JCv/F4+0ZQ+3qZRI8HkOxwnnJnzcHIIdYW71RHv9zcXZi6d8T8M2eRTmmP5YZQ8sm1aleWV6qKTIyiqnTF5t8DdaCq4sz+fLIgQaiozXc0s6xVImLKn4qFqdKowbkKVwQgHchoexauTpdtf5AFsAHDx7RpHkn7ty9b3Dsv8V/GXT1mZt/58/ixeMrDB7Y2+jxZ89fGOyfPnPeYH/u4s0G01B8s2dh1YKvDMaXtuw6wYjxM5PVgr16Pf5elKxZvPi4e3OT6rGzszMIsfbL7FVK6LKcObIyRm8s8+qNuOcUQjB1vM4Dee3mQ5w5f9Okc1sTpYr5Kdvqwrbxo4qfFfDy8RO+/ngQo1t34OdPx/D0fsbqUrWzs6N1317K/uXjJy1ojfl48fw5WzdsJPhNMMFvgmnXqQ/3HxgGUh4xbACFCvqlui2xuzr1yZY1i8F+dLThfMvHT1/FaUF4erix9O8JBt6hy9ftixPQ2hT6xzNxvXrlEmxb8YNB2K7E6NG5icG6dmO++ks5Vrq4n7J9/WbcoNoAVSsWp3Wzmsr+pB8WxCvoN24/ovugb2nc/nOGj5vJ+7Bwk+1MTUrpXad+/FYVQxwsbYAKrPlrLid3y90wN89f5NzBQ8zcvonM2VOvO8zacPP0VLb9n8oenxeDAyjrldVSJqWI6Ohomtepxyt/f3xz5aRQkaLcuGnouJE1S2ZGDBtgIQt1tG3dnC/Gf51gnuxGBMje3p5vJnzM1RsP2HtIdq54GE/kl4QYN7IrtaqV5t/lO3j3LgyfbN50+LAudaqXSXKLOIu3J9OnDGbw5zMA+G/NXuzs7OjV5QNOntVFcEkoRujkL3qzdfcJoqKiOXziMjv2nqJZo6px8k356V+2aD1eT527QY0qJenWoVGcfGlNSX3xU1t+8aKKnxXglcXwzTvoVQA7V6yiy/Ch8ZRIf+xYpvOuK1S6lAUtMQ8vnz9XFul9/vQZz5/GdZ6Y89cv5PTNntamxSF37py0a9OCdRu2xpsnSn8CtR5CCIPwZOW1EVNMYcmq3azfKq8S0blNff6aPspgZfnk0rVDQw4cvcAy7VjiklW7WbJqt0GeGpVLxlu+UIFcfNytOXMWbQZg3tJtccRPkiQl7FoM+ksKWRL9Fq6x7l0VGbXb0wpo/XEvsuX0NUi7euqMhayxDPev6R4k7Qf1V7Ztdewvq0/CrfaRwwfS7IMGCeZJS6b/NBl39/gXkj143PgUlPDwSC5du6vsVyhTOE4ejUZDcMg7g7SzF2/xyRe/sWv/GXbtP8OAUT9TseEgdh8wzbMzMaZ/PdhgWkZsWuqt62eMof100z0OHr3Iu/dhBsdv3X3M/9s777AojjeOf4cmICKgYgMBe8XeYxd77yX2rkk01vizxGjsvcSusffeo8beK7ErKihYsCBNBATm98fe7e1eoRwcx3Hv53l42J2d3Zk5jvvezLzl4+dQ8dzO1ga1q3vr19k0ppBnPmSxEZa537z7hC9hkUbuUcaExC8DkM3JCd1GyjNSh30OMVJvjIOji2pZLTzE9BNx2tjYoHZ97eJWvlJF/Dwp8WXG9CZPblc09tEtxi/eaA86/uCJP2JjhVmhZ4E8GrE3IyKjUK/NKHiU64o/Jclwtc1IXgUGo2PfP3D6fOq/+DlktcPOdZNxcMuf8KlbESWLeaBB7Qro0ckH65eORZ0aZRO936tAHhQr7A5AiEBz7dZj2fVFK/fKzls3rQkbG937qumJlZUlihVxF88f0dKnVmjZMxVcfvsKNfN5pMmzKqt9UD6//wAx0dHIYmur447MRfEK5fDmpRB9/8mduyhZuaJ4zZh7f8Hv3+PkseOoVrMGihQrlqJ7CxYuggtn5FkMHB0dsWzdOkVczWjtN6YB9tlT/r50K6B7ybJ8pR/g6NlCo/zR0b/E42o16mrUmTp6NHwVfoNzl+1Eu+4jUK1aNXyzkC8Zuri4ICQkBAkJCbjoG4rqjSoib968KR6DOq08W6BV9wmJ1gkPOKK1vEqF4mI+Qr8XQahfqzyiY2Kx68A5jTyEUiOZjECpYp6491CYkT98EoCaVUsncYf5QTO/DIJzrpzwKFZUVnbt5GkdtTMfxSuUF48zypLvf3fvonLxkpgwchQ6NW+J6G/Jz/gdFxeHC2c0fcnmLlsKdw8hRqah4n/qI3wA8P69ZtYFJZ6enlrL795VRRGpXFm+zMg5x5YtW2RlO3bsAAB8/qxazp42bRoePXokni9atAjjx49Pt8DM2kQdAAp75ReP/V6+wbFT15G7eHv8/NtSjbr1a5fXKDMmZPGZNCR+qSQtI73kL+glOz9/4HCaPTujI43zefPMObx66ie7bqi9v9jYWK2plGJjY9GynspyLyw0VAzDlhy2b9qMl8/lgYV7DeiPpq3kmQnSWgD1FT4A8PPz03lNl9VlVJRqLy937tyyawEBAQgOlvsQ3rghuLGEhKiW9V1cXJA7d2789ZdqFrlx40YcPJh+Aaa1CaAy3BkArNl8FF0H/qn13r/mDIedbRat14yFMmg4QBafuiDxy0Coi9/z+w+N1JP0x71wIRQrL+zDxMfFYdXvht8T2/L3BpTxLIhKxUrgwX/3ZNd2bpbPWH6oWwdWVsnbJYgID8eCGTNlZXb29hg14X9a66eVAEqF7+7duxgxYgTmz58vm2Xpwt/fH76+vrIyacojXeInTZiqPlN7+1YzSPmnT58AAKGhoWKZs7Ow39u/f39UqaL6ErRrV/rG11QXwCKF8uuoKeCU3QEr5/2KHzsmL7t8eiIN9fb42etMkSszrSHxSwPSavbnpiZ+IcHBGglfMzO29lnF43tXriE+Tm5en9azv6Xz5uFbVBQ+ffyIyePGqdrx9cWfkybL6o6fMiXZz/1r4SJ8VnzIK2nXuROcnJx03pNaAVSf8XXq1AmLFy/G6NGjUadOnSSXEFetWiXWcXBwAGMMdnZ24vXs2bUnkZWKn/oH7EeFq4eUbAp/zu/fVaHQlCJrY2ODFStWiOUnT55M95x0UgH0dM8DS0vtH5Er5o3Ai1tb0LV9/fTqWopwzemEHC7Ceyry6ze8Ckq5/2Vmh8QvA6EM8SVl3vBRCAk2jzeuq1s+2bmFZep9vnQRHR2Nd29UM5Nb167jvWKmsmLRYnyLkpvmFymePGOXiPBwrFu+QqO8Wy/tocWk6CuA2pY6v0n2Jx8+fIhXr3R/QYuOjsbatWvF802bNuHGjRsICxPS+jg6Ourc80tM/C5evKheHUWLKgNMqwJhW0r+zuXKlRNF9/Pnz4iISP84r0oBtLGxFmOFqjNk9CLEfs+4QaMZY/J9vyf+xutMBoXEL41Ii9lfodKl4Ogsj6QRHBiEid1748ObtwgODMKSsRMwf8QYREiWjTILDTq0k50f0pLcNq1mf28CAzXKPnwQvmR8/iifteXImTPZS56xsbGIjdV0C/Dw8tJSO/Xo2uNTX6a0TcRqePfu3eLSqIeHB1q1aoWFCxeK15s2bSoTOV3tSMUvICAAy5Yt06h/7tw5cM4RJ5nVS8XPwsICWbOqVgAiI43jo6YUwGKF3HXW+fdCxk4ZJHN2TyR+qrlC4peBsLK2Ruefh2iUv37mh77V66BfzXo4uWMXzu47gJ1LNWcXpk7pqpXRsJMq48G6P2fh9nnN2UNaCGDQa83YjllsbPDw3n1cuyzPr1epatVkPzdHzpzo/GN3jfJD+/Yl6/6UzP50Cd+HDx8QFBQknjs4OCBPnjxa63779g3Tp08XzwcPHoznz5+LVpkAMHLkSJ190DXzO3jwoNYvAe/fv0dkZCRiYlRxMNW/WHh4qMb14kXycvkZAkfPFvixk+79vPRekk0pJSUBrh+Q0YsGJH5pSFrM/lr27SVL8aOLA2vWY/302XhnpCDYUZGRWDttJub8NAI7ly5HTHTa+KwNm/4HilcUzMYTEhIwZ9hwBAcGJXFXyvn8SVNAszk6YkD3HzXKfxkzOkXP7tm/v0bZzN9/xwc1y0edfUtCAF+9CkTge92vt7rhSlRUlFY3hqdPn6JJkyZ4+lTwuXNwcEC/fv0wffp0UciaNGkiM0JRR5fBy8uXL7VVByAE2Za6NkiXVOPj42VLnaFGXuHoNnA6urbT3Nezt8uCujXLpX+HUkApWZizAKP1I6NC4pfBsLCwwNi/FqFUlUpJ1t23ai0G1G6In5u0xPbFy/BFbbnOkOxdsRoH1qzHhUNHsXnuQhzdtDVNnmudJQsmrPpLDPf2NTwC2xdp+lWldvbn4OAgO7eyssLl8xcQpLYcOn3BfJQpl3g0EHVKeZdBbjUH7YjwCBzam7zZH6BbAG/euotylRugePHiOHZMeyzObJIg4YDwJWLTpk3i+YsXL9C5c2cUL14cFy5cEMsXLFiA0NBQbN2q+ltOniw3/FFH18zvypUrWut7enoiPDxctAS1s7MT9wEBYMOGDXj27Jk4jho1jO88vmnnPxgrSYdkm8UGFw4vgmM23eHgMgLFi7iLy9IvAt5lmKwTGQUSvzQmLWZ/WWxtMXn9alRv4pOs+v6PnmDr/MXo/0N9bJqzAN+1LDelJZxzXD72j6wsLR3TnV1zYfSS+eL5xcPHEJvG/7jZ1Swv4+Li8OjBA416rdu31yhLCsYYylWooFH+2j8g0fvi4uIQ9DpQXBLUJoBtOvQRlxO17akBQNWqVTVE4/p1IfvAnTt3ULFiRQ03gpYtW6Ju3br49ddfRRHz8fFB9erVE+2zNvELDAzErVu3tNZv3749/v1XFR2lTJky4p5fSEgIxo4dK14bM2YMcuQwflYPKysrNGuv2o4oV6YQihRyM2KPkoe9nS0KeQpGZAkJCXjip7nPbc6Q+GVQsjpmw/9W/YVZu7eh6/Cf4NO5A6o1aoi8nrqdmGO+fcOuZSuwdtpMnXXSgmsnTyPohXxZy84+bb8Fl65aRfR7jImOxosHmj6PqZn9qYsfAAS91vxwmPo/7b55SVGsRHGNskAt+4yAYPY/98/pKJjTFTW8y6Jr6zaiNaRUAD+GypcBn6s50SuxsLCAj4/8i1OBAkJUmbFjx4pWnADQrFkzLF++HNmzZ0fRokVx9OhR8drEiRMTHySAd+9U2SqUe3fnz2vm9GvYsCGKFSuGoUOHYvz48WJ58+bNxeOZM2eKzu+enp6J7jWmN84SQzT/V+9x+vxtHD99Q2a1mhGROrtLlz455wgIfI/bvs+waedJfPwUmv6dMzIU2zMDwxhD6aqVUbqqPGxUZGgYbp07j3MHDuHWGc0PmtM796DfhN9gY4CoE5xzbJ2/WKO8Thshckn4ly/4+OYtcubLi+xqqZqSS3RUFPatWosQyR5ZyAft7h76xv10zK45q7p84Tx6DxiADWvWiGW7tm5DvyFDUCKFaZaKliyhUXb31i1wzjUsMcf+PBx7JQYmt65d17jXPrsH5k+SBz+vX1+7j9nevXvxxx9/yMqGDRuGqKgo2XLk6dOnERsbi2bNNJPJOjs744cfftD6fCUvX77EP/+oVgBq164NQB7yTImbmxuOHDmCHj16iG4Xzs7OGDx4MADgxIkTWLJkiVh/zpw5MqtPY1OyZElkz54dYWFhCP74Be17TwEAdG1XHyvn/2rczmmBc47Nu07h0AnV3zsqSrV6snbzMUybtxmNG1TCrgPnkdXeFjMm9kevLo1SnEPRVKGZnwFIy5Bn2nBwyo66bVrh97/XoM//xmpcj4mOxqunzwzS9rP/7iHgiTwoccNO7VGwZAnM/flXdCtbBcObtUGPijX0XgrdtnAJti1cim9fVb520qwPaYG2mV9kRCRccuaAi9pS27aNG1P8/KLFNGd+IZ8/41VAgKws8NVrmfABQMMmTcSlwDeBQejYbSgYY1i6VL732bhxY402OOcYNmyYrKx9+/YoXLgwVqxYIfr/FS1aFJ8+fUKLFtrjWsbExCRqzRgfH4+ePXsiWmHoVKFCBRRTBP7W5ptnY2ODsWPHYvfu3WLZihUr8P79e3Tu3BlNmzYVl3OrVKmCDh066GzbGFhZWaFly5Ya5cqcgRmN32dv1IhB6uKi+sK3etMRhEV8xcHjgjh+jYrG8P8tQ+f+UxH80fSzqiQHEj8DYWgBBISZYau+vZDVMZvGNf8nT7TckXq2zFskOy9drQo6/zQEI5q3xfmDquj4CfHx8LunPQdcUoR/CZWde9eohtJVdVsc6rP8aa9jVrFt40aUKC2PgO97O+VRdrI7aY+I8kltBrtuhdxlpVX7dli4Uijbv2s3qpfx1mrYUqZMGdmSoZLQ0FCNeJpz5sxBYGAgfv/9d7GsSJEi+PHHH3WGvYqKisLp06excOFCXLt2TeP63LlzcVnhEmJpaSmLzOLqqpmg18nJSTaz++mnn+Dl5YXKlSvL9h/z58+Pv//+O0POPkaMGGHsLiSbw//IDY7KlCyIBpLg25FfhS9BMTHf4ZYvp1j+z5lbqNZ4GI6cvJrstiK/fsOcJTuSrpjBIPEzcSwsLWEticGo5MWDR1pqp47I0DDcvXBJVtai54/4c8BQjWVJj2JF4dMp5cYiAPDMVx5n07tGtSQ/DFMqgLqe9/7tO1xW27MK08PcXtfzY9QMd9avXCU7X7ZuLbI7Zce+nbswfOAgnc/fsmWLLPamkgC1mSUgxNMcOnQovn4VMq5bWFjg6NGjMkdzdSwtLdGkSROMHDkSDRo0wJcvqtmAr6+vzAp00qRJMneIQYMGycKhubm5wUvNyf/IkSOoWrWqzBewZcuWuHPnDkqW1J1l3ZhUrFgRPXv2lJXN+2OwkXqTOJXKqiISVSpXDOcPLYCTo2DhzDlH4/qVYWEhvEcXz/wJQ/q0EuuHfInAj4NnYsXfh5JsJybmO5p1GY/pC9PG2js9IfEzIOkx+9u5ZDlCtfisXTh4JM1875TEx2t+WN65cFFjibVWy+aYf2gP7LNpzkiTIvrbN7x+Js8ukNsteZZ1KRXA5m1aJ10JQOmySWfofnjvPhrXrIUCTi6oXKIU2jZqorWe1Ll7746dsmv1GwlGKvt37caIQdo/VH18fPD8+XN4e2vvk9RNQUnVqlVx5IhkVp6MIMdSQ46oqChYWVlh//79yJ49O8qXLy/G5qxSpQr+p2YU5O7ujvPnz+O3337D6tWr4evri06dOsksN6UizRjDzp07cejQIa2zxozEypUrZRFpMmq6oLbNVfu1n0LCZFa5E6evx+Onr1DATXitXZwcMWvyABza+qc4C+Sc47epazBxxvpE3y9rNh/Ffw+MF4ggNZD4GRhDCuDZfQexbaFqKaluW9W3t4jQUARrsV5MDVkdHTXibZ7csVuj3sgFs2ErCYqcEhhjGrMmV7fEo+vry5wlizFv2VJUrl4t0XrtOndO9DoAbFyzBo8fChapwe/e4U2Qdsf8WIX4bVi9Br8OlkfzYcwCB3bv0Trj8/f3R3x8PE6ePIlChbQnnb1w4QIWLFiQZF/1YceOHejQoQPCw8PFMjs7O2zevBnWWlI9lS1bFjNnzsSAAQOQI0cOuLi44NSpUxquEyVKlMClS5fQqVMng/Q7rbGzs5O5aly8qt/SvqGpX7u86IcY8Po97t5XWQZfvH4f124/RsDrYDRtUAXlSgvvpzo1yuLikcWoWlFlrLV0zX4MGrkQsbGacUwjIqMwd9lOjXJTgcQvHUhrAYyPi8P2RUsxf4Qq8kixCuVkM7BCpUvCrbDuzNz6YGVtjaLlkp4F9apaCw+u39CrjSy2tihYWr7spc3NQRcpmf1lc3RE01YtES4x/VenfiMfNGjcKMln5cmXT2t5l5490Kq9Kmbp2zdvcP3KVUweO06j7scPH/DLgIGyMhcXFzx79gyenp4642sCwLNnz9C2bVvRSIUxhoMHD4rLjxYWFihbNmXO+ko6deqEgQMHymYAjDGsWLFC5qCeFOXLl8eVK1fw5csXPHz4EA8fPsSDBw8yhCN7SqhatSqyZBEsqZ/7v8G7YMPkmkwNtlls0LSBain67CVf8Tg+TjWrH/NzZ9n7ysXZEQe3TENzH1VIv10Hz6H3T7M1ZoDXbz9BaJgQe1W6b2gq6CV+jDF3xthZxthjxthDxthwRflcxtgTxtg9xth+xpiT5J65jLFbjLE6inNPxhhnjP0sqbOMMdY7dUPKnJw7cAjzho/C7GEjMLRhM2xdoJrxuRUqCGtra/g/EoxcLCwt8fOs6Yl+WOpD3PfvCFNbYs2iJWByeMgXTO07CF/D9YvI32vcKNn52j9nIvB58pdWUiKAP7Zrj6ePHuu8/vvMGckyvvh59Cj8NuV3DSvS7r17oXI11czy4J49OH3ihMb9tnZ2+PRRvm9atERx+Pn5oUiRIkm2//vvv8sSxHLO0a1bN9GnLyEhQa84mZUqVcKBAwdkZZ6enjh69Ch6JSNThTacnJxQsmRJlCxZMs3fo+mBra2tbAZ7+bpmcISMQM2qKsMtX8XM73NIGCKjVNshwR80LTvtbLNg0/Lx6NNNtXR/9NR1zFu2CyGhEZi7dCcC33zAxWuqvXmHrPqt9BgTfd95cQBGcc5LAKgGYBhjrCSAUwBKc869ATwDMB4AGGNKu+/aAKR22B8ADGeMae7cZzJSM/u7cfoM5v0yCuf2H8LFw0fx5qUqPUnZmjVQpnpVPLh+Uywb+ucUFPYure1RqWLLvEV490rNUZsxLP1HM+N8VEQkrpz4R6M8OVSoXQs2WVQ+iglx8Vg/fXaKnpEcAYyLi8N/d3RH5s+RMye8dCwxqmNtbY2hI4bj5pNHqFRN9a354rnzaNmurbg0ePfWbXxRSy6bzy0/Zi9ehLdBb2Tlu48egUsyfCUjIiJk/nZKlAYuShLLkKDNeAYAHjx4IBqllC1bFmFhYfD390fTpk2T7Fdmpm7duuLxxWsZc+mzXJnC4vHd+374ccgMFKz4IwJeq+K85smt/f1lZWWJhX8OxdC+qq2U+ct3o8fgGfhzwRbMWLgNi1buFY1mTDF6jF7ixzl/xzm/oziOAPAYQH7O+UnOudIq4hoApaWCJYAEAByA9Gv0RwD/AtDvK6SJoa8Afnz7TqPMPpsDeo4dhVZ9e+L4lu1ieZsBfdGkexe9+6iLyNAw7F+zXqPcKWcOfI+N1To7iorQ/mGbkJCAg+s2YPGY8Ti6aatWf7LiFcrJzm+fu5DimWRSAmhlZYWqiSy5VUliL1Abtra2aCJxQQh89QouOXKgXKWKYtmurdtk97wNeoOxvwyXlZUqUwbOyQwSsGDBApk1pj60a9cOrVq10ihX+vFZWVlh06ZNcHRMm6zzpk6dOnXE49u+hvGpTS0lihSAjY0QxyTwzUccPiF3X6hTsyzKSwRSHcYYpo3viyIFhT336JhYXFLMcvccEiyiExIydmaLxEj1mgNjzBNAeQDqYSn6AjgOAJzzhwDsAVwCoJ6LZxaAUYyxRDOXMsYGKpZNb0WZcC47fQSwoFq0kP+t/gvrL59Dx2GDsHWBKtpK5fp1tTq9pwUvHj7SyKwOAA07tsOq36dpFbByP9TU+qzD6zdizR/TcWrnHqyYOAXnDmiaVOdVS56aEB+PL1oygycG5xyTZ81Al1ZtsOXvDVrrDBs5Quf9HgU1kwsnh4f3VTOBAopxNNXhTK5E3TK3cQtNHz5tREVFYf78+UnWmzlzps4lxly5cmHHjh3o168ffH19tc42Z8+erdPC1ByRpoiKjjFsLF19sbGxRunimnkkC3vlxy8D22HLiv8luaRvZWWJxvUra5ZbC6KqK9O9KZCqnjPGHADsBTCCcx4uKZ8AYWlUtLvmnP/MOa/IOZeFROCc+wO4AaBbYm1xzldzzitxzivZa4nOYUqkVACPbNoiHhcoWgTVG/vgTUAA7py/iJcPhf2qLLa2GD5vlswMWx845zh/6AhObNuJ7xKzfG3ils/LE0XLlcXTO74a17oMHwaPYtr3qo5vkzvEnj+ouWya213TvUG6FJoc7py/iA2z5uHKhQuYMHIUXvj5adSpVa8evMuX13I34K6Ih5lSgt+plpWcFZFpuvfpjbJagl1ro1CRIhgwbGiy6l67di1Z2c4HDhyIRo1UhjtFihSBl5cXsmTJgo+KLxWtW7dGuXLlsHTpUuTJkweOjo7o0aMH/vvvvwwVZzOj8SUsEnFxGTPGZ9sWtVCzqio036ihHXH7zEpMG98n2VkptM0O504ZhCb1K6NVE2HlRDk7NCX0Fj/GmDUE4dvKOd8nKe8FoAWA7jz52R5nABiXmv5kVh7fuoPzB1Ti0G5QP8wYNAyjWnXA7z37ieX5CnrCKWfqI+DfOnsec3/6Fct+m4ielX/A5/dCtJAsWlwX3voHyPqg5KeZ09B95HCNciXf1b4p3zpzHtdP/gvOOUKCP+D+tesa1qJZHR2RM588TVBS3JEkwuWca/jVAcLSTv+hmgmElffoQ9mKKpFbMHM2wsPCYWdvj017dqF9ly6wtbODo6Mjlq1bg+0HD8jubdW+HfaeOAZLRYqlpITt8WPdxjpKqlevjtu3b+OExNAmR44c8Pf3l/kdKrG0tMS7d+8QFhaGTZs20YxPCzly5BBnPZ8+h2HKnJSHwEsP7GxtcPm6YC1dsVxRTB7TM4k7NKlasQSsra3g5JgVVpaWcMxmj+aNqmH7molY+OdQ7Fw7CZeOLUn6QRkMfa09GYB1AB5zzhdIyptAELFWnPMoXferwzl/AuARBNE0C5I7+9v110rxuFbL5ggOfIOrJ05p1Hv7MiBNUhk9l4QkiwgNxea5wp83IZnR64uVL4sm3bskupxSpppmqLJp/QejU8ny6Fm5JsZ3+lEmXABQpnrVFFsGqscDXbt8Bd4r8sglB6XwPHn4CE1r1UHfLt0QFqrbLULJoJ9/Qs5cuQAAH96/x+b1wl6ps4sLFq5cjoevA3Db7ylatW+PqxdV42zWuhWWrVsLCwsLFM2TD11bt0G7du20tqEkUJJ/UD0jupIiRYrIZn1Zs2bVGrJMyQkt1qiEig8fPqBOnTqIj1eZ/q/dfFSrL5yxqVFZNet7FRis1xc69/yuWDBtCA5vn4FFM4Zhw7JxcM7uAAsLCzg7ZUOTBlVgm8X0bBb1nWnVBNADQH3GmK/ipxmAZQCyATilKFuZ6FPkTIfKQMYsSEoAA548xc1/zwIQZiit+/bCvlVrtdbVlfYnJURFRuL4VvnsKCxEMKTwvaQ9Oak6Dtm1x7SU0n7wAFjZaDpGf1OzTpRSsnJFndd0Ua9ta5kIR3/7hs3r/9aod+fGTY0yAIgIDwfnHCOHDsPD+/dx+sQJjP35Z611pbjkyIExkyaI54tmz5EtuVpbW4t+YtL0QlUU5vO9Oqocvk+fPp1oW9KM6LrClUkT2To4OIgBqHVRrVrKDX3MhYiICDRq1Ehjxv0tOhZvM6C/X4miBeCUXQhr9ulzGF74J//Ln5SenRvBu2RB9Ojkgwa1k7d8n9HR19rzEueccc69OeflFD/HOOeFOefukjKdge845wGc89KS8/845xac8w369MlUSUwAdy9XxX2s1rghnj94iBhFVH5tBDx+qvNacji3/6AsjRAA5MiTG/FxcTi1UzOSixIbia+ftuVRddyLFMaQaVM0osUkhq5A1InhktsV2dT2h89fuSw737R2Hbb8rRLEKhL/rYjwcJw6dhwP/vtPLDt++Age3U/ar6tZK1XotJjoaGxcrf1Ly9dIleA7ODggPCwcd28lLxtGfHy8LBO7FHst+RW9vb3x5MkTMVO6NtasWYNBg3THFDV3ZsyYgf8k7wcpC1fswV/rDuDNu0/p3CvdWFhYwLuUynDL/7Wm5bi5QntsGQBtAvj+1WtcPKRKLNpx2GA8vK59hqIkTOLkrA/3r2pGZWnesztun7uATxIjDnWsJbM451zJi/TQuGsnLDlxCC1794BtMhLhPk5hZoX4+HjM+WkEwtVcAL7HxIouEItmz8HE0WPEGVMBT08UL6WKLmNnZ4cFM2dpPPv798SXl8+eOoW6leQWctEx2uOshoSoZguMMfxPzbAksQgqly5dks0cpXTu3BnZJLFVS5YsiRMnTsDV1VWnv9/8+fPRv39/ne0RwLZt23Re27D9H/zvz3XoNmh6OvYoafLkUlnvfjDDpLW6IPHLoOxdtVYMJ1S2Zg0ULeuN90nE6rx4+JhWd4TkYueQVeM8u4sLTmyTL4Wq7+dJwyVVbdQg2e15FiuKQVMnY/npYyhWPvHQW9dPn0lR1uydS5bjyvGTGuW5Cwgr6weuXsSi2XPE8lJlymDk+N+wc7PKstbSygqPHshneY6OjihZpox4Hh8fj6ePH+OjIqvFprXr0KdzV3z+pPr2zxhD996arqwJCQm4LTHsGTXsJxzau09WZ+xY7a4rX758wZgxY7ReA4DBgwfj8ePHmDt3Lnbt2gVfX1/kzZsXBw8e1FqfLDqTJi4uDq9fq4I86NrXDnyjPfGysfgapVotsjVAgmtThTK5S5hRNfkf3Ibk1KlTOCUJGD3/j6lo4F4Yc51doGmsryLgyVMEHD6JX375JZFauglt0VoWqPpb5FcsG/Yrbt26JavXvn177NmzB4BgGRgdJdg2ubq6YnznHjoNL3TiXhhdr1xD2bJldS7JRYaGIcebT6hZU7vvoJQPHz6gvWTJWMrwnn3Q3L0wxi9fJ365qFatGnbs2IGKFSuK1o8lS5bEr0OHYdWSpbKYhuHh4Zj/+x/w8fFBWFgYpk6dipcvXwIQYmBKc9M5ODigWbNm6N27N5rW03xvxcbGIkISKFob2pK63r9/H23atBHbZYzJDBny5MmDSpUqwcLCAqNHj5bd+03LsvnWrVvJojMZWFlZwdXVFR8UX3R0GY/89kvX9OxWkgRJlmHd8+UyYk8yFjTzU5ARhC8wMBDNmjVDo0aNxKW4WrVqoX79+gAEX61ixYrJHGzVmTRpEt6/171EmRgdOnRA7ty5ZWU3btyQffhbWFigSRNVzD9pX+rXr59y4VNga2uLOXPmJFrn8GGVy4evry9Onjwp61tcXBxGjx6N3LlzazXhd3d3F7NxS0N/NW/eHKtWrcJnRdixXLly4cCBAyhSpAh++uknjecsX74cbdu2Re/evUUBAiATvkqVKuH58+fYuXOnzlBgNjY2WL16daJpfE6cOCHLebdr1y5Uq1ZN1m6bNm1k90ydOlWnZWz79u0xZMgQODg4oFatWrh+/Tq6dUvUxZaQULiw7ogoAFCxbFEM7JWxjNale5D585peAGpDQeIH4wtfbGwsVq1ahdKlS+P48eNiuYuLCzZt2iQur3Tr1g0TJkwQxc3Kykq0GlQSHh4uLofdvn0bW7duxadPyduAT0hI0MgCrq3OunXrxHPpB/e7d6nbTFdPd6PO1q1b4efnhxEjRqB8+fJo3LixLJfcmTNnNKKdVJA4lrdo0UIMAiBNmOrn5wdfX1/xfNasWWIw6VmzZqU4G0KBAgWwZ88ejS8S2ujXrx8CAwOxdu1arUucXbp0gZubG3r06IGmTZuic+fOiFLMtLNmzYrdu3djw4YN6NixI0qVKoW1a9diwIABOtuzt7fH8uXLERERgQsXLsiS0BJJkzevbl9TGxsr/D62J0LDIxEQ+B4xMcZ3ffgWHYNPn4V9YUtLC+RxdU7iDvPB7Jc9jS18cXFxqF+/Pi5fVlkhWlhYoH379pg9ezY81cJ8LVu2TDz++eef8eXLF2zYsEFWZ8uWLWjSpAl69OgBzjmyZs2K48ePo1atWon2ZcKECYleV3L1qipGoIeHB+7eFYJD37t3T9ctycLV1RW5cuUSI46oExQUpGEAsnHjRsyaJRilhKstIXp4eKBevXq4c0cwlnGTJMWVHr9//15MzgoIhi7S43379qFmzZoaM+oKFSrAx8cHDg4O2LJlC/LkyYNOnTqhV69eyJoC61QbGxv06ycEC6hduzaGDBki89/7+PEjtmzZIruncOHCOHDgAEqVEvy4pLNOwnA8farbojo2Ng6tuk8Uz11zOuH84UXIlyf1wSf05e07lUFVvtw5Uh0BKjNh1jM/YwsfABw6dEgmfIULF8bFixexa9cueHnJ4/I9ePAAN24IBhI2NjaYMGGCbGYj3YBfsGCBuCfx9etXtGzZEm/eyLMGSElISMCOHTt0XteFdJnT3d1dZ72vX79i/fr1WL9+vRgsWRvlypVLUfvv37/Hq1eCtayTmlvD33//LYuQ4uys+tYrNVxwcXHBDz+oMl+fOSNE4IuIiMCVK1dw584drFy5EvnUcvb17dsXs2bNwsSJE/HkyROcO3cOQ4cOTZHwqdO8eXM8f/4c58+fx8SJE2UiraRTp064efOmKHxE+vDt27dkRdRR8uFTKK7cTJ3vbWoJeqf6IpnfBHPuGRKzFb+MIHzXr1/HwIGq5KVlypSBr6+vzuSef0v80dq0aYMcOXLIxE+6AS/9MAcEZ+rZs3WnBdq8eXOKly0tLCxQQBL/UrqUqM5vv/2Gfv36oV+/fpg0aZLOeikVP0CY/QFCklGpGJcqVUpjvxIQRG3JElU4pvLly6NBA9X74cKFC9i5cydy5cqFmjVromPHjmjTpo2Gi4D6knNaYWNjg9q1a2PatGkICAjAhQsX8Ndff2HlypXw9fXFzp07NYSeMDz3799PkcUxIGRWMCby/T4ydpFiluJnbOGLjo7G//73P9SsWVM0srCzs8OGDRt0zhpiY2OxefNm8bxv374A5Mt3ypxxAFCsWDEN45PEwlatWbNGa3mJEiV0mnSrp8DRJX6cc5l/1Lx583R+iCS1NKtEKuQbNmxAQkICsmXLJuvD/fv3ZRkKrl27huDgYDRt2lRcvnJwcEDfvn2RI4dqaerZs2cYP368htGMdFnV3d0d3bt3T1ZfU4OlpSVq1aqFoUOHYtCgQXpnYydSj3J5PyV8/Jx0ODxDEvRGNfNzI0tPGWYnfsYUvq9fv2LBggUoWLAgZs6cKQqAs7Mz/v33X9ksTp2jR4+Ke2Fubm5o2LAhAPkHsjQhaUJCAurVqyd7hp+fHyZNmoRQtZRQnHOZO4N0eXDRokU4deoUZs+ejYMHD8pEMj4+Hg8fqpZ1dInfhQsXZFnGAeCtjhibjRo1QvZkhEgrXLiwOPvx9/fHhQsXEB8fLzPYyZs3ryzp6IYNG5AnTx7ZMvPixYuRM2dOFClSRDab8vdXJQxWp2TJkjh27Jhsb5DI/CTXcExJQc+88CyQG++MGPbszXtVn93I0lNGphO/mvk8dP4YS/hCQ0Mxffp0eHp6YtSoUbLlRaW5eVKWjuvXqxLJ9u7dW9y4/izJCi41369duzbatm2r8Zw///wT3bp1w9u3b7Fnzx74+voiJiZGnOVYWlrK9pISEhLQoEEDtG7dGn/99ZfMkrBUqVKy2JK6xG/58uUaZcp9OnWyZMmCLl0ST8br4OCA6tWry0z0//77b+zatUsUPycnJxQpUgSNGzeGj4+PxjMYY5g/f744g86SJYvWfgJA6dKl8fr1a2zZsgUbN27EnTt3ULp0aa11icyLtvdRYtSoXAplaw9A8Wq9ceWGcfb+4iTBt220xNM1ZzKV+NXM56HzWnP3xP1zDAHnHGvWrIGnpycmTpwo++aYN29erFy5EufOnRPN6nURGhoqiyfYu3dvAMIyZqdOnTTq16pVC2XKlEHr1q01rgHA8ePHkT9/fnTs2BGVK1fG06dPxVlPfHy8zCBFuVQ6Y8YMnDwpj5hSt25d0SrR2tpawwfq3r17KFiwoFZLxICAAJ3jnTFjhs7lPSsrK6xatQp58+aVxa+8c+cOli5dKp63bt0a1tbWsLCwwL59+2RfLpycnHDs2DGNiCZdu3bVupTp5eUlLnP27NnTYHt9RMamSpUqmDx5cpIJYJVs2a0KSt6082+G6laiOGVTbaOER+gOHG+OZBrxy2jCFxwcjFatWmHgwIGy+IseHh5YsWIFXr58iUGDBiUrTc/Zs2dFkSlcuDAKFSqEqKgodOjQQcMtwMLCAqtWrQJjDPny5UsyQn9cXBzevXsnc1yXRlnZtm0bvn//rtHPFi1ayATKxsZGw4x6ypQpOpcPdc38AMH68uzZs8ifXzNB5uTJk8UZ3969e8XyChUqyF6LjRs34oEiNJmDgwNOnjyJ+fPnY+7cubh//75svFJWrlwpm3lWrFhRZmhEmDc//fST3nkejYGjo+oLYlg4iZ+UTOHnZyzhi46OxtWrV3Hx4kW8ffsWcXFxcHBwQExMDHbt2iXb5ypcuDAmTpyIbt26yQxTkoPUf045m7O2ttb6T1i8eHGUKFFCVj+x3G1Ky8J8+fKJrg5Sq8aPHz/in3/+0XBj2LFjB+zt7eHs7IwvX77g69evOHToENq0aYPv379jzJgx2L9/v852d+3ahfLly6N8+fJaHYednZ0xfPhwDcfvpUuXYsSIEbC0tJQJa/Xq1WWpewDg5s2b4vKkg4NDsmJXOjg4YPv27Rg5ciSePXuGtm3bas2QQJgnzs7OcHFxkf1vW1hYYPvqCdh96AL2HDqv897wiKhkZ09PK7LLZn7JTrFqFpi8+KWn8H3//h03b97EmTNncObMGVy5ckVrGC11fvnlF8yaNUtvAwnpjGrx4sV48uQJChYsiJw5c8r81QDgxYsXiIiIECP6q/umqVO0aFHY29ujZMmSsLS0RHx8vMw9AAAuX76MQoUKiec9evQQrVL79euHefPmARDCarVu3Rrr16/H4sWLE2333r17aN68ORhj6NevH+bPnw9HR0cAghP9o0ePZO4HVlZWiIuLQ3h4OK5evQofHx+4ubkhKCgIADBkiDwbe/HixdG+fftE+5AYlStXRuXKlZOuSJgVVlZWaNmypeheU6JoAWxdOQGFvPLBu1QhHDp+GbHftQeXD4/4mv7i5+ggHoeFa8/mYa6Y9LKnoYWPc447d+5g7ty5aNasGZydnVGzZk1MmjQJZ8+eTVL48ufPj5MnT2Lx4sWpsgyUuhTExcXh6NGjWLp0qYajNgDExMRg1KhRouGHNB6mNmJjY/Hq1SsMGDBAtD5V39OqVq2azNBFaqk5evRocWx3797F4cOHZRFgkoJzjrVr16J06dI4duwYTp06hZo1a6J///6yvHLKKCh+fn5o1KiRkP5HEtpMSqNGjXDmzBlRTAkiLZHGUo2PT0AhL+ELZr48OdCnu/bldMA4cTWzO6pmfrTsKcdkZ36GFL7g4GBs3LgR69evTzScESD409WvXx+lSpWCtbU1vn79ipiYGJQtWxb16tWDrSTRq754e3tj1qxZGD9+vM79hi5duojWimvWrMGaNWuwdu1a7Nu3T2t9Jc+ePdMIoda8eXPxvlKlSsHPT55LQuoTlzt3bgwZMgQLFiwAAEybNg21a9fW2V6WLFkwY8YM+Pn54c6dO2LEmsDAQDRv3lxWV+p+4ebmhrVr5QlhBw8ejLx582Lp0qX48uULihcvjt69e8PHxyfZRgkEkVIaNWoEe3t7REVF4dmLIAS9/Sj60LVoVB2rNhzRuKdoIc1IPemBdKZJ4ifHJMXPwdom6UopJC4uDidOnMCJEyewatUqMauCOh4eHmjQoAHq16+PevXqJbmsmFaMGzcO3bp1w7179xATE4MzZ87g9OnTYIzh119/RY8ePbB3716Zn5uuxKTu7u5wcnLC/fv3Na7VqVNH5mfn6uqq4Reo7pbRrVs3Ufxu3bqF8ePHi+fqKGem48aNw7lz53Do0CEMGzZM5rKhDW1WmIwxtGnTRiOrAUEYEnt7e3h7e4t76f6v34viJ82aLmXkkI5G+UImXfakPT85Jil++hIcHIywsDAULlwYFhYWiImJwcOHD7Fr1y5s3LgR79+/R5kyZWTCly1bNrRo0UIUPPV4m+mJu7u7aHjSrl07jevTpk2ThUvThoeHB44cOYLz58/L0vVUq1YNv/zyCxwcHGTLrGfPnsXZs2dlz1BvY+vWreKxo6NjomKUNWtWfP36FbNnz8aTJ0+wf/9+1K1bF7///jvWrVsne+3z5MkDV1dXDBw4ULYEShDGxsvLSxS/V4HBqFVNSHAc8iVCa/0KZRN3ZzIUsmXPCNrzk5Kpxe/SpUtYuXIlnjx5gujoaDEaSfbs2ZEvXz74+flpzPDu378PLy8v5M+fH/3790eHDh1SFag4PRkwYAAqVqyIgwcPYurUqVrrnDhxQrQIzZUrFx4+fAhvb2+0bdsWFhYWSeZ2mz59uob1ozS3XHh4OBwcHNRvAyDM1GrUqIFTp04BAA4ePIjTp0/Dx8cHK1euxB9//IHnz5+jYMGCiaaOIQhjkzOnav8uIlI1o7rzn2Yy5v4/NkOxwrqDvhsScnXQTaYUv8uXL2PKlCk4ffq01uthYWEy3zslefLkQa9evdC3b1+N1DmmQoUKFWBtba1V/Ly8vMRxWVpaanWQV6b/0YW2SDSTJk3CuXPnxNdUmi3cwcFBdJ1wcHDA1KlTRfEDhGS5ysgZuXPnTlYOPIIwJpxzWXaHLFlUrks378ptBBrWqYDZvye+GmNIHB3swRgD5xwRkd8QFxcPKytKawSYuLWnOo9u3sbEbr3www8/6BQ+dQoWLIhOnTrh0KFDCAwMxKxZs0xW+JSULl1aI7RZly5dcOPGjSSd6gsW1L5nAQC9evWSxcpUUrFiRVy8eBF169YVZ4W2trYYOHAgzp9X+T1FRERoiGdaGAQRRHqyc+dO2edL+TJFEPIlHJxzPHsRJKtbp0ZZo4qNhYUFHB1Us7/wSNr3U5IpZn6f3wdjxcQpuHZSLniWlpbo0aMH+vXrBzs7OxQoUAA5c+aEv78/QkJCUKxYMdEfLjPBGMO+ffvw7NkzfP78GV5eXsiTJ0+y7u3atassm7ySEydOoHHjxjrvK1OmDM6ePQvOOUJCQuDg4CC6TJQpU0arcY2lpaVGZgiCyOgcOHBAdl6/zSgkJCTA3i4Lor7J3Z8mzfwbA3o2h52t8ULiOWazR5gitFl4xFe4OGW+zzx9MGnx45zj7L6DWPX7NHyVZDewsLBAjx49MHHiRI14k4Awu0lshpNZ0GcG26NHD9ja2mLOnDn4+PEj6tatiz59+qBOnTrJup8xJnOFAIQPi6lTp+Lw4cOwtLREiRIl4OLigt69eycZ15QgMhrq/1fKoBDqwqdk2NglWL9kjMH7pYvsjlkR+FYI/Uf7fipMVvzivn/HwlHjcP6A3Im7Xrs2WDVrDn2opoKOHTuiY8eOafa8ggULYsOGDWn2PIIwJk2bNsW0adOSXf/UuVvgnKfa1eFLWCScs2s3JksMZ8lM73NIeCI1zQuT3PPjnGP+8NEy4cvt7oYZOzZj1KK5JHwEQRiMatWqabjzNGvSEN3ba6ZMK1u6EP74rbfewsc5x9xlO/HsRRCKVemJ+m1G4dCJKyl6hmsuVX7Ot++Nl1swo2GSM7/gwCC8eKDKj+XTuQMGTpkIOxNxSSAIwnRhjGHXrl1Yt24drlw6g7LepdCrR2e45lfls7SwsMDjq38jj6tLqtqavWQHZi7ahhXrDyEm9jtu//cMPYbMxOYV49GqSY1kPaNYYVV0mf8evMCPHRumqk+ZBZMUv0iJm0LL3j0w8I9JFM6KIIh0w9raGoMHD0bPrk3FMsdsDggLF5zcixbKr5fwPX/5Bqs2HoGzUzYcOXkVD58EAAA+f5EvV477YzVaNq6erM+9imVVe5S3tfghmismueyppHmvH0n4CILIEPTs0Vk8fv/hC67eTFn29m/RMWjbazJWbzqC67cf4eGTAOTLIxiPNahdAbfProS9nWA1+vb9Zw23Cl1U8FZtA9179JKMXhSYrPg1/bErBk9NflZlgiAIQzJ0UG9kzSr41IWGRaJ97ynwS6ZAAcD6rcfxOugDACDwjWCd2bd7U/zUvw02/jUOhT3zo1ol1dKq7/3nyXqui7OjGHP0+/c4HDmZ/KwrmRmTXPZ0dHHGkD+nkPARBJFhKFDADRvWLkG/Qb8iPDwCX6OiMW7qGuzdkLzPqt2SRLjepQpizpSBKOSVH14FVD66VSoUx5mLdwEAo39fiXsPX6JS+WLIlSM7IiKj8CLgHbxLeuFjSDjq1SwLF2chrVfHVnVw76EQhnDXgfPo3oH2/ZiuFDkZmSLepfmiowd0Xjdk9naCIIjEuHPnDipXriz6/21fPRHNfKomek/Q248oVbMvAMDKyhIvbm+Bk6OmW0PQ24+o4jMUX6OiNa5ld8yKsPCv8KlbEafO3YZTdgdcOroY7vld8ebdJ5Sq2Rec8zQzxtFo36vlbc55pTR9qAExyWXP7Da2aO5eWOcPQRCEsahQoYIsC8mEWdtgk6chHD1byH6UcM4xYfo68bx2dW+twgcAbvlyYde6yXBXpFCSUrSQEDz7zj0h/2ZoWCQWrNgDQEik+0PV0gAEp/y9hy+kcpSmj0mKH0EQREZm2rRpcHYW/OtevnypNb+lUgD/3n4CB45dFssH9myhUVfKD9XK4M7ZVdi7YQoG926JFo2qoUqF4mhUryK6d2iAQh6qHKNbdp8Sffs6tlZFadp18LzGc80Nk1z2rFSpEpdm+SYIgsho/PXXX2LOTHt7ezx9+hRubvKM7pGRkcibxxWRX4VMKH27N8XCP4emql3OOXzajxEzTEwb3we/DGyHL2GRKFqlB2JjhTRu9y+uQwE311S1JYWWPQmCIAgMGjQIZcoISW6joqIwc+ZMjTpnz54Vhc/DPTdmTOyX6nYZY+gqiTbj++AFAMA5uwMK5FelDFP6EJorJH4EQRAGwMrKCnPmzBHPjx07plEnODhYPP6hauk0y/5QrlQh8VjpErHn8AU8938jlufKkT1N2jJVTNLVgSAIwhRo0KABLCwskJCQgICAAHz//h3W1qrktw4OKsOWsGi7NGu3ZHEP2GaxQXRMLF4EvEXjTuNw7eYj8foPVUujYjnTzluaWmjmRxAEYSCsra3FBM+AsMcnRbksCgD37t2TWYGmBjvbLGhcvzIAwDaLjUz4ihdxx/qlY83eT5rEjyAIwkCEhYWJgmdrawsnJyfZdWluwNevXyM+Pj7NBHDy6B4oVtgdw/q3EctaNamBo9tnIrck04O5QsueBEEQBsLf31889vDw0JhtRUVFice2trawtLQEILhBhAccSVXbhQvmx9UTS/HgSQCy2FihVjVv1KhSKlXPzEyQ+BEEQRgIqfh5eXlpXL9//754rJ6HNC0E0NLSEmVLFUJZiQEMIUDLngRBEAbi06dP4nGePHk0rt++fVs8LleunMb1tFoCJTQh8SMIgjAQyigvAPDff/+J8T6VfPjwQTyWWoFKIQE0DCR+BEEQBuKHH36AlZWwu3T37l2MGzdOdr1WrVri8fbt23Hx4kWtzyEBTHtI/AiCIAxEnjx58Msvv4jn8+bNw7x588Tzhg0bomRJIUfft2/f4OPjgwsXtAedJgFMW0j8CIIgDMicOXPQtm1b8XzMmDHYsWMHACEKzLZt2+DqKsTYjImJ0ZgdSiEBTDtI/AiCIAyIpaUltm3bJlviHDBgAAICAgAAZcuWxfnz58U9v2vXrmHVqlXG6KpZQeJHEARhYGxtbXHo0CHRnSEyMhLjx48XrxcvXhwdOnQQzwcPHoyOHTvK/ACJtIXEjyAIIh1wcnLC33//LZ7v2LED586dE8/nzp2L4sWLi+d79uzB6NGj07OLZgWJH0EQRDpRs2ZNtG/fXjxv1aoVDhw4AADInz8/rl+/jh9++EG8vmLFCoSGhqZzL80DvcSPMebOGDvLGHvMGHvIGBuuKO+oOE9gjFVSu2cuY+wWY6yO4tyTMcYZYz9L6ixjjPVOxXgIgiAyNIsXL0bOnDkBABEREWjbti0mT56MhIQEODo6ol27drL6fn5+xuhmpkffmV8cgFGc8xIAqgEYxhgrCeABgHYAZLa6jDHlXL42gGGSSx8ADGeM2ejZD4IgCJMif/78+Pfff2XhzqZNm4YuXbqAc47nz5/L6r9+/Tq9u2gW6CV+nPN3nPM7iuMIAI8B5OecP+acP9VyiyWABAAcgDSy60cA/wLopU8/CIIgTBFvb2/cvHkTPj4+Ytnu3buxZ88efP36VVaXxM8wpHrPjzHmCaA8gOu66nDOHwKwB3AJwAq1y7MAjGKMWSbRzkDFsumtjx8/pq7TBEEQRiZHjhw4duwYunXrJpYdOHAA3759k9Uj8TMMqRI/xpgDgL0ARnDOwxOryzn/mXNekXN+Rq3cH8ANAN203ynWW805r8Q5r5QrV67UdJsgCCJDYGVlhZEjR4rnZ86cga2trayONDMEkXboLX6MMWsIwreVc74vlf2YAWBcavpDEARhipQrV04MgP3+/XuEh8vnEf/++y+Cg4ON0bVMjb7WngzAOgCPOecLUtsJzvkTAI8AUOwegiDMCktLS9SrV088v3Xrlux6ZGQkhgwZkt7dyvToO9OqCaAHgPqMMV/FTzPGWFvGWBCA6gCOMsb+ScEzpwNw07M/BEEQJkuLFqrv/UFBQRrX9+/fj2vXrqVnlzI9+lp7XuKcM865N+e8nOLnGOd8P+fcjXOehXOem3PeOJFnBHDOS0vO/+OcW3DON+jTJ4IgCFPlxx9/FLM76GLTpk3p1BvzgPbYCIIgjIy1tTUWL16caJ2dO3ciJiYmnXqU+SHxIwiCyAA0bNhQI7qLlJCQEBw7diwde5S5sTJ2BwiCIAiB+fPn49ixY4iOjtZ6fdOmTWjbdn+q2ggPOJKq+zMLNPMjCILIIHh6emLs2LE6rx89ehSfP39OVRuUEFeAxI8gCCIDMW7cOLi7u2u99v37d+zcuTPVbZAAkvgRBEFkKOzt7TFnzhyd19PK6tPcBZDEjyAIIoPRsWNHFCxYUOu169ev4+lTbfkDUo45C6BJil9CQoKxu0AQBGEwLC0tMXz4cJ3Xd+/enWZtmasAmqT4vX371thdIAiCMCh9+vSBi4uL1muXL19O07bMUQBNUvw+fPiAkJAQY3eDIAjCYGTLlg3btm2DtbW1xrWrV6+m+QqYuQmgSYof5xx//vknpkyZgg8fPhi7OwRBEAahcePGOHDgAEqXLo1atWqJ5WFhYVi4cCE45yl63pUrVzB+/HjcvXtX63VzEkCW0hcvI8AYEzvdr18/rF271pjdIQiCSBdGjhyJhQsXiufFixfH6tWrZcKoi+/fvyN37tz48uULAGDMmDGYOXMmLC0184jr4wif3avlbc55pRTfaCRMcuYnJUeOHMbuAkEQRLowZswY5MuXTzx/8uQJateuDU9PT8ybNy/RmaCVlZXs+ty5czFlyhStdc1hBmjy4pdYNASCIIjMRN68eXHz5k0MHToU9vb2YvmrV68wZswY7N27V+e9jDEMGjRIVvbnn3/i8ePHWutndgE06WXP4OBguLq6Grs7BEEQ6U5gYCB+/fVXmeC5urri1KlT8Pb21npPbGwsihUrhoCAALGsTp06OHv2LIQc5ZokdwmUlj3TgWzZsiEkJISEjyAIs8Xd3R179uzB27dv4eTkBECwhK9Tpw6uXr2q9R4bGxvZniEAnD9/Hhs3btTZTmadAZqk+BUtWhTOzs7G7gZBEITRyZs3L44ePQpHR0cAQGhoKBo1agQ/Pz+t9du0aYPevXvLyvr06aNz+RPInAJokuJHEARBqKhRowbOnTuHXLlyAQAiIyM19vekLFmyRGPlrFOnToiLizNoPzMSJH4EQRCZgPLly+PEiRPi+dmzZ/Hu3TutdbNly4YDBw7Iyh48eID169cbsosZChI/giCITEKFChVQvXp18VyXMzsAVK9eHa1atZKVTZ8+PcWO86YKiR9BEEQmolIllcHlqVOnEq2rnjni9evX+PTpk0H6ldEg8SMIgshESKO9LFu2DBs2bNBZ183NTaPs0aNHCA0NxevXrxETE2OILmYISPwIgiAyEW3btkXVqlUBAHFxcejTpw/++OMPrcuZ2sRvyJAhyJEjBzw8PJA7d24sX77c4H02BiR+BEEQmQgrKyvs27dP5ug+ZcoU9O3bF7GxsbK62sTv8ePHYsaIsLAwDBs2LM1TKGUESPwIgiAyGfny5cPFixfh4+Mjlm3YsAHNmzdHWFiYWFa2bFlZmDRd7Ny50yD9NCYkfgRBEJkQR0dHHD16FH369BHLTp8+jVq1aiEoKAgA4ODggPbt2yf5LF0O86YMiR9BEEQmxdraGuvWrcPUqVPFsvv376N169aiMUuvXr203iudEb59+9awHTUCJH4EQRCZGMYYJk2ahI0bN8LKygoAcOfOHUyYMAEAUK9ePdjZ2Yn1PT09MXLkSNy+fVssS0r8YmK+G6DnhsXK2B0gCIIgDE/Pnj3x5csXjBgxAgCwePFijB49Gs7OzqIhDGMMjx49gp2dHeLi4mBhYYGEhAR8+vQJsbHfYWNjrfXZ0TGxWsszMjTzIwiCMBN++eUXVKtWDYDgBrFhwwY8f/4c8fHxAAAPDw9xFmhlZYXcuXOL9wa90+387pgtaaOZjAaJH0EQhJnAGMPQoUPF8zVr1siMWYoVKyarL40AM2X2RnyL1u70risXYEaGxI8gCMKM6NChg5j/7+XLl7h48aJ4Td0RfsCAAeLxweOX4dNuDN6+/5wu/TQ0JH4EQRBmhJ2dHXr27Cme79u3TzxWj+vZs2dP2Uzx/mN/lK0zEAs33sbhy2Gwzt0Ajp4tkCWvD0wNZooRvCtVqsRv3bpl7G4QBEGYJA8fPkTp0qU1ygsUKIBXr17JyjjnWLNmjdb8gN7e3rh8+TLu37+PGjVq3OacV9KolEGhmR9BEISZUapUKdSsWVOjXFtGh8ePH2vk/lNy7949+Pn5Yfr06WndRYND4kcQBGGGaJvJRUVFISoqCgAQGxuLqVOnonz58jh+/LjWZ/Tp0weBgYE4evSoQftqCMjPjyAIwgzp2rUr5s6di/v378vKQ0JC8ODBA/Tr1w8PHjyQXfPw8EDFihXRrFkztGzZEjExMahYsWJ6djvNIPEjCIIwQ6ysrLB9+3aNvb9bt26hU6dO+P5dFbWlatWqWLNmDcqUKSOWxcTEoHbt2vj48WO69TktoWVPgiAIM6VUqVLYvHmzeN62bVv06tVLFD57e3ssXLgQly9flgkfIDjM37hxI137m5bQzI8gCMKM+fHHH2FtbQ1/f398/PgR4eHhAIQlzn///ReFChXSuGfdunVYvXp1enc1TSHxIwiCMHM6d+4MAKhSpYpYNmfOHK3C9+7dO/z888/p1jdDQcueBEEQBADg82dV9JZFixbJzpXMnTsX3759AwCULFkSHh4e6da/tITEjyAIggAAdOvWTTy+evUqypYtiwsXLohlwcHBWLlypXg+c+ZMDad4U4HEjyAIggAA/PHHHxg1apR4/ubNG9SrVw9//PEHEhISMG/ePHHWV758ebRs2VKME2pqUHgzgiAIQsbhw4fRp08f2bJny5Yt8c8//4i5//bv3w9XV1dppBiTCm9G4kcQBEFoEBQUhO7du8uWPZV4e3vj7t27cHV1lQqkSYkfLXsSBEEQGri5ueH06dOoU6eOrNzOzg5jxowBYwwWFqYrIabbc4IgCMKgWFtb48CBA/jpp59QvXp1tG7dGnZ2dujRowdq164NNzc3Y3dRb8jPjyAIgtCJk5MTli5dCkAIhh0SEgIAuHTpEiwtLY3ZtVRBMz+CIAgiWbx580Z2Hh8fb6SepB4SP4IgCCJZtG/f3thdSDP0Ej/GmDtj7Cxj7DFj7CFjbLii3IUxdoox5qf47Sy5Zy5j7BZjrI7i3JMxxhljP0vqLGOM9U7lmAiCIAgD0Lt3b3h7e2uU58qVywi9SR36zvziAIzinJcAUA3AMMZYSQC/AfiXc14EwL+KczDGiivuqw1gmOQ5HwAMZ4zZ6NkPgiAIIp1gjGHIkCEa5UrHd1NCL/HjnL/jnN9RHEcAeAwgP4DWADYqqm0E0EZxbAkgAQAHwCSP+ghBJHvp0w+CIAgifenfvz9KliwpK4uMjDRSb/Qn1daejDFPAOUBXAeQm3P+DhAEkjHmqjh+yBizB3AJwBi1R8wCcJwxtj6JdgYCGKg4DWGM+ae27yZCTgCfjN2JdITGm7kxp/Ga01gBwNbYHUgJqRI/xpgDgL0ARnDOwxljOutyzrXmwOCc+zPGbgDopu26pN5qAKsV7d4ypUgCqcGcxgrQeDM75jRecxorIIzX2H1ICXpbezLGrCEI31bO+T5FcTBjLK/iel4Ie3rJYQaAcanpD0EQBEEkF32tPRmAdQAec84XSC4dgmr/rheAg8l5Huf8CYBHAFro0x+CIAiCSAn6LnvWBNADwH3GmK+i7H8Q9u92Mcb6AXgNoGMKnjkdwN1k1l2dgueaOuY0VoDGm9kxp/Ga01gBExuvSWZ1IAiCIIjUQHtsBEEQhNlB4kcQBEGYHRlG/BhjvypCpT1gjG1njNkyxnYyxnwVPwGS/UVd4dK+Ser7MsZ6Gm1ASaBjvOUYY9cUfb/FGKsiqZ8Zx1uWMXaVMXafMXaYMeYoqW/q4x2uGOtDxtgIRVlKw/+ZxHh1jLWj4jyBMVZJrb7JjhXQOd65jLEnjLF7jLH9jDEnSf3MON5pirH6MsZOMsbySeqbxng550b/gRAdxh+AneJ8F4DeanXmA5isOC4OYC4AewC7FGWeAB4YeyypGS+AkwCaKsqaATiXycd7E0AdRVlfANMyyXhLA3ig6L8VgNMAigCYA+A3RZ3fAMw29fEmMtYSAIoBOAegkqS+yY41ifE2AmClqDM7M/xtkxivo6TOLwBWmtp4M8zMD8ILa8cYs4Lwwr1VXmCMMQCdAGxXFOkKl2ZKaBsvB6Cc/WSH6jXIrOMtBuCC4vopAMqQ8aY+3hIArnHOozjncQDOA2iLlIf/MwW0jpVz/phz/lRLfVMeK6B7vCcV5wBwDYAyy2tmHW+4pE5WCOMDTGi8GUL8OOdvAMyD4B7xDkAY5/ykpEotAMGccz9F/YcQPkAvAVghqVdIbWpdK31GkDISGe8IAHMZY4GK6+MV9TPreB8AaKWo1hGAu6K+SY8XwrhqM8ZyMCGsXzMIY5OF/wMghv+D6Y5X11i1YuJjBZI33r4AjgOZe7yMsemKz6ruACYDpjXeDJHJXbH30RqAF4BQALsZYz9yzrcoqnSFatYHQGe4tBec83IG7GqaoGu8AKoA+JVzvpcx1glCIIGGQKYdb18ASxhjkyEESIhV3mPK4+WcP2aMzYYwm40E8B+ETCiJ3WOS4zWnsQJJj5cxNkFxvlVyT6YcL+d8AoAJjLHxAH4C8Lui3CTGmyFmfhA+4P055x85598B7ANQAwAUy2TtAOw0Yv/SGl3j7aU4BoDdEMQwM6B1vJzzJ5zzRpzzihC+3Lwwai/TEM75Os55Bc55bQAhAPygf/i/DI2OsWZadI2XMdYLQpSq7lyx2ZUZSMbfdxtUWxYmQ0YRv9cAqjHG7BX7ew0gpEkChA/OJ5zzIKP1Lu3RNd63AOoo6tRH5vkQ0Tpepsj6wRizADARwEoj9jFNkYytAIQvb9uhZ/i/jI6OsWZatI2XMdYEQnziVpzzKGP2L63RMd4ikiqtADwxRt9SQ4ZY9uScX2eM7QFwB8KU+i5UoXK6IPn/TIWYxB0CwHrO+ZI062gakch47wJYrJjtRkOVwkkXpj7ewYwxZXLjfQD+TuJRJjFeBXsZYzkAfAcwjHP+hTGW0vB/pjJebWNtC2ApgFwAjjLGfDnnjRN5hqmMFdA+3mUAsgA4JXy/wzXO+eBEnmHq413LGCsGwbjlFYDExgpkwPFSeDOCIAjC7Mgoy54EQRAEkW6Q+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXaQ+BEEQRBmB4kfQRAEYXZYGbsDGRnGWDUAHsbuB0EQhJ484Zz/Z+xOZEQY59zYfchwMMZK5XVkDywYUMDZ8JPjvC5ZDN6Gq6uzwdsAAEf3QgZvI6tLQYO3AQAW9nkM3kYUbA3exrvorwZvAwBehYcavI2X7z8YvI13wcEGbwMAYj99NHwj7z8A1lbAxy9enPMAwzdoOtDMTwJjLK+XC3ubMytD8dwWyJHVAq7ZDC9+ZT3tDN5GiRKG/yAHgHxVqhq8jVyFahu8DQCwci5j8DY+w9HgbdwL/2zwNgDg8ttXBm8j9v5jg7fx+dEjg7cBALF+Tw3fSM5swJdw4FuMP3NzBd58dOGcfzF8wxkfEj8AjDGHErktIpzsgDyOFqiQnYExZuxuEQRBpB5nR8ApG/DhC2BvG8IK5gf839pyzmOM3TVjYtYGL4wxqwruljy7LSJsrYH6Ra2Q38mChI8giMwFY0BuF6BsUSCBA1lto1lxT84YM1sNMMuZH2OM1fCyTHC2Y/j2HahbxArWliR4BEFkciwtAPfcQJ4cwOv3QLas8Yyxupzz88buWnpjduLXoJgVz+XA8DYsATW8LGFnQ6JHEISZYW0FFHIDvsUAAW/PsRzZgZDwUpzz9NnwzACYjfgxxgq6ObEXcQlAufyWyG5HokcQhJljlwUo4QWEfwXi4h+yvDmB95/zcs7fG7trhibTix9jzKVILovPLvYMXjkskDsdrDcJgiBMCsesQJnCwOcwICLqHfPIC7x+n41zHmnsrhmKTC9+XjksPn/6ylG7kCXt6xEEQeiCMSCnkyCE9/yAAnkiAGTaD81MPw3y/5xg4+nCcM4vDi8+xSOBnPoJgiA0iU8AgoKBhy+AAnmB1+8tjd0lQ5LpZ36c8+8QDDyzffuO8DPP4lAyjyXyOpIvH0EQBDgHPn4Bgj4Ari7A12g7/jQg2tjdMjSZXvyUcM4jIIhg/rdhCUF+H4EyeS3gkjXTT34JgiC0ExoBvHoHZMsKREXn5P5v0iccUAbAbMRPCef8DQQRLPMoOOGelUUCSue1hEMWmgUSBGEmfP0GBLwFLC2BiKiCPPyrv7G7lN6Ynfgp4ZzfB8BqF7biN17FwyUrQ4ncFshiRSJIEEQmJSZWcG6PjgXCIqtyzm8Yu0vGwuzX/C48j2MhUdzS2Y7hwvM4PP0Qj/gEMoohCCITERcvLG8+8gdcsgNhkRbmLHyAGc/8pHDOEyAshdqC49uZZ3Eo5moJd2eaBRIEYcIkcCD4M/DuE5A3J/D1mzV/9DLO2N3KCFA+Py0wxnIWzmnxMSSKI4+j4QXQxcHa4G04O2czeBsAYJ8rn8HbsHXMa/A2AMAii4vB24iG4f/2IbHpE7w/OCrC4G28Cwk1eBufv6RPxp+48DDDN/L5C+DiCAQGOyqM/ggFJH6JwBjLB2AogP0GbqptJmkjvdqhsWS8NtKrnczSRnq1U4dzvsDAbZgkJH5JwBi7xTmvRG1knHZoLBmvjfRqJ7O0kV7tpNdYTBGzN3ghCIIgzA8SP4IgCMLsIPFLmtXURoZrh8aS8dpIr3YySxvp1U56jcXkoD0/giAIwuygmR9BEARhdpD4EQRBEGYHiZ8CxlhHxthDxlgCY6ySpNyTMfaNMear+FkpuVaRMXafMfacMbaEJZEjKZE2fBhjtxXPus0Yqy+5do4x9lTSvqu+Y1FcG6/o71PGWGN9x6L2zJ2S/gUwxnwV5TpfO31gjE1hjL2RPK9ZUuPSo425jLEnjLF7jLH9jDEnA42liaKvzxljv6XmWWrPdWeMnWWMPVa8B4YrynW+dnq2E6B4v/gyxm4pylwYY6cYY36K386peH4xSV99GWPhjLERaTEOxth6xtgHxtgDSZnOvuvz3tLRRpq/t3S0Y/D/k0wB55x+hH3PEgCKATgHoJKk3BPAAx333ABQHUK24+MAmurZRnkA+RTHpQG8kVyT1U3lWEoC+A9AFgBeAF4AsNRnLIm0PR/A5KReOz2fPQXAaC3lOselRxuNAFgpjmcDmJ3WYwFgqehjQQA2ir6XTKNn5wVQQXGcDcAzxeuj9bVLRTsBAHKqlc0B8Jvi+Dfla5dGr9d7AB5pMQ4AtQFUkP49dfVd3/eWjjbS/L2lox2D/59khh+a+SngnD/mnD9Nbn3GWF4Ajpzzq1x4Z20C0EafNjjndznnbxWnDwHYMsayJL/3yWsHQGsAOzjnMZxzfwDPAVTRZyzaUMwWOwHYrm/f9UTruPR5EOf8JOdcGfvwGgC3NOqjlCoAnnPOX3LOYwHsgDCGVMM5f8c5v6M4jgDwGED+tHh2MmgNYKPieCP0eA/poAGAF5zzV2nxMM75BQAhasW6+q7Xe0tbG4Z4b+kYiy7S7P8kM0Dilzy8GGN3GWPnGWO1FGX5AQRJ6gQhbT5k2gO4yzmXBmT8W7F8MSkly5FayA8gUHKu7HNajaUWgGDOuZ+kTNtrlxp+UiwbrZcsTekaV2rpC2EWrCStxmKo/spgjHlCWFW4rijS9trpCwdwkgnL9AMVZbk55+8AQYQBJLlEn0y6QP6FKi3HoURX303tvaUkPf9PTBKzEj/G2GnG2AMtP4l9634HoADnvDyAkQC2McYcISwPqsP1bEPZv1IQlkMGSYq7c87LQBCWWgB6pGIsWvucSLm0b8lpryvkH1K6XjvdHUy8nRUACgEop3j2/CTGpU8byjoTAMQB2KrvWBIbZkr6q1cDjDkA2AtgBOc8HLpfO32pyTmvAKApgGGMsdqpfJ5WGGM2AFoB2K0oSutxJNkFLWWp+lsZ+L0FpNH/SWbHrFIacc4b6nFPDIAYxfFtxtgLAEUhfGuSLlu4AXjLOR+k+ZSkYYy5QQhy25Nz/kLS/hvF7wjG2DYIyxSb9BmLos/u6n2GjrFIb0yqPcaYFYB2ACpK7tH12t3S9ZzkjosxtgbAEcWprnHp1QZjrBeAFgAaKJaB9RpLIqSovymFMWYNQfi2cs73AQDnPFhyXfra6YVymZ5z/oExth/C+zKYMZaXc/5OsZT+ITVtKGgK4I6y/2k9Dgm6+p6mf6t0eG8l9hoZ9H1napjVzE8fGGO5GGOWiuOCAIoAeKlYGolgjFVTLEX2BHBQzzacABwFMJ5zfllSbsUYy6k4tobwT/NA60OSxyEAXRhjWRhjXoqx3EijsTQE8IRzLi6f6nrt9O284kNJSVuoXgut49KzjSYAxgFoxTmPkpSn5VhuAijCGPNSzGy6KMaQahR/v3UAHnNJNP9EXjt92sjKGMumPIZgyPEAwhh6Kar1gp7/D2rIVhPSchxq6Oq7qb230uX/JFNgbIubjPID4U0SBOEbWDCAfxTl7SEYofwH4A6AlpJ7KkF4Y70AsAyKiDl6tDERwFcAvpIfVwBZAdwGcE/Rh8VInqWZ1nYU1yYo+vsUEovOlI5FS5sbAAxWK9P52un5N9oM4L7i9TgEIG9S49KjjecQ9kWUf4eVBhpLMwiWmC8ATEjD9/EPEJay7knG0Cyx106PNgoqXof/FK/JBEV5DgD/AvBT/HZJ5VjsAXwGkD0574EUPHc7hOXA74r/k36J9V2f95aONtL8vaWjHYP/n2SGHwpvRhAEQZgdtOxJEARBmB0kfgRBEITZQeJHEARBmB0kfgRBEITZQeJHEARBmB0kfgSRAWFCBgN7Y/eDIDIr5OpAEGkEY8yKqwIXp/ZZARAycnxKi+cRBCGHZn4EIYEJudWeMMY2KgID72GM2TMh3+F5JgRy/kcZRYMJ+RZnMMbOAxjOGKvMGLvCGPuPMXaDMZaNMWbJhFxuNxXPHKS4t67i/j2KNrcygV8A5ANwljF2VlF3BWPsFhNy9P0h6W8zxb2XmJCH8YiiPCsTghrfZELA5DTJGkEQmQWziu1JEMmkGIB+nPPLjLH1AIZBiJrTmnP+kTHWGcB0CJH5AcCJc15HEarsCYDOnPObiuDE3yBE3QjjnFdmQqqqy4yxk4p7ywMoBSHG4mUIAaOXMMZGAqgnmflN4JyHKMJg/csY84YQIWYVgNqcc3/GmDSo+AQAZzjnfRXh824wxk5zzr+m/ctFEKYHiR9BaBLIVTFWtwD4H4Qkw6eE0JmwhBBSSslOxe9iAN5xzm8CABeyKYAx1giAN2Osg6JedghxFWMhxFYNUtTzhZDY9JKWPnViQuogKwgJa0tCWLl5yYXcbIAQ6kqZXqgRgFaMsdGKc1sABSDk9yMIs4fEjyA0Ud8IjwDwkHNeXUd95WyKablXWf4z5/wfWSFjdaGI5q8gHlr+JxVBiEcDqMw5/8IY2wBBzBLL7cgAtOcpSNBMEOYE7fkRhCYFGGNKoesKIet2LmUZY8yaCbkX1XkCIB9jrLKiXjYmpHr6B8AQRWYOMMaKKrIhJEYEgGyKY0cIAhvGGMsNIc2Psr2CTEhaCwCdJff/A+BnRZYHMMbKJ2PcBGE20MyPIDR5DKAXY2wVhCj/SyGIyRLGWHYI/zeLIETiF+Gcxyr2A5cyxuwg7Pc1BLAWwnLmHYUYfQTQJok+rAZwnDH2jnNejzF2V9HeSwh7g+Ccf2OMDQVwgjH2CfL0NNMUfbynaDMAQkosgiBArg4EIUMxizrCOS9t7L4kB8aYA+c8UiFwfwHw45wvNHa/CCKjQ8ueBGHaDFAYyjyEYEizyrjdIQjTgGZ+BEEQhNlBMz+CIAjC7CDxIwiCIMwOEj+CIAjC7CDxIwiCIMwOEj+CIAjC7Pg/q3G2h0SnXfcAAAAASUVORK5CYII=\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 MIROC5-CRU)',fontsize=19)\n",
    "plt.savefig(\"/home/mkibria/Academic/pr_of_thesis/figures/Seasonal Bias_percentage(gcm miroc5-cru).png\")\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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